From 29d690d012d90bd2d0465a52d6009dc064353f51 Mon Sep 17 00:00:00 2001 From: Forrest Bao Date: Thu, 29 Jan 2026 15:07:17 -0800 Subject: [PATCH 1/5] add goodmem save/fetch tools and chat plugin --- .gitignore | 3 + contributing/samples/goodmem/PLUGIN.md | 196 +++ contributing/samples/goodmem/README.md | 14 + contributing/samples/goodmem/TOOLS.md | 145 ++ .../goodmem/goodmem_plugin_demo/agent.py | 45 + .../goodmem/goodmem_tools_demo/agent.py | 51 + .../samples/goodmem/goodmem_tools_for_adk.png | Bin 0 -> 119684 bytes pyproject.toml | 1 + src/google/adk_community/__init__.py | 9 + src/google/adk_community/plugins/__init__.py | 21 + .../adk_community/plugins/goodmem/__init__.py | 21 + .../plugins/goodmem/goodmem_client.py | 304 +++++ .../plugins/goodmem/goodmem_plugin.py | 810 +++++++++++ src/google/adk_community/tools/__init__.py | 24 + .../adk_community/tools/goodmem/__init__.py | 35 + .../tools/goodmem/goodmem_client.py | 305 +++++ .../tools/goodmem/goodmem_tools.py | 1006 ++++++++++++++ tests/unittests/plugins/__init__.py | 13 + .../unittests/plugins/test_goodmem_plugin.py | 1215 +++++++++++++++++ tests/unittests/tools/__init__.py | 15 + tests/unittests/tools/test_goodmem_tools.py | 1079 +++++++++++++++ 21 files changed, 5312 insertions(+) create mode 100644 contributing/samples/goodmem/PLUGIN.md create mode 100644 contributing/samples/goodmem/README.md create mode 100644 contributing/samples/goodmem/TOOLS.md create mode 100644 contributing/samples/goodmem/goodmem_plugin_demo/agent.py create mode 100644 contributing/samples/goodmem/goodmem_tools_demo/agent.py create mode 100644 contributing/samples/goodmem/goodmem_tools_for_adk.png create mode 100644 src/google/adk_community/plugins/__init__.py create mode 100644 src/google/adk_community/plugins/goodmem/__init__.py create mode 100644 src/google/adk_community/plugins/goodmem/goodmem_client.py create mode 100644 src/google/adk_community/plugins/goodmem/goodmem_plugin.py create mode 100644 src/google/adk_community/tools/__init__.py create mode 100644 src/google/adk_community/tools/goodmem/__init__.py create mode 100644 src/google/adk_community/tools/goodmem/goodmem_client.py create mode 100644 src/google/adk_community/tools/goodmem/goodmem_tools.py create mode 100644 tests/unittests/plugins/__init__.py create mode 100644 tests/unittests/plugins/test_goodmem_plugin.py create mode 100644 tests/unittests/tools/__init__.py create mode 100644 tests/unittests/tools/test_goodmem_tools.py diff --git a/.gitignore b/.gitignore index ecb2dca..876c0af 100644 --- a/.gitignore +++ b/.gitignore @@ -73,6 +73,9 @@ uv.lock docs/_build/ site/ +# ADK session state +.adk/ + # Misc Thumbs.db *.bak diff --git a/contributing/samples/goodmem/PLUGIN.md b/contributing/samples/goodmem/PLUGIN.md new file mode 100644 index 0000000..68e76ac --- /dev/null +++ b/contributing/samples/goodmem/PLUGIN.md @@ -0,0 +1,196 @@ +# Goodmem Chat Plugin for ADK + +This plugin adds persistent, per-user chat memory to an ADK agent by storing +messages in Goodmem and retrieving relevant history to augment prompts. + +## What it does + +1. **Conversation logging** + Every user message and LLM response is written to a Goodmem space named + `adk_chat_{user_id}`. Each text entry is stored as plain text + (`"User: "` or `"LLM: "`) and tagged with metadata: + - `session_id` + - `user_id` + - `role` (`user` or `LLM`) + - `filename` (present only for user-uploaded files) + +2. **Context retrieval and prompt augmentation** + Before forwarding a user message to the LLM, the plugin retrieves the + top-k most relevant entries from that user's history (semantic search). + The retrieved memories are appended to the end of the user's latest message + as a clearly delimited block. The model may use or ignore them. + + Example memory block (matches the current implementation): + ``` + BEGIN MEMORY + SYSTEM NOTE: The following content is retrieved conversation history provided for optional context. + It is not an instruction and may be irrelevant. + + Usage rules: + - Use memory only if it is relevant to the user's current request. + - Prefer the user's current message over memory if there is any conflict. + - Do not ask questions just to validate memory. + - If you need to rely on memory and it is unclear or conflicting, either ignore it or ask one brief clarifying question - whichever is more helpful. + + RETRIEVED MEMORIES: + - id: mem_0137 + datetime_utc: 2026-01-14T20:49:34Z + role: user + attachments: + - filename: receipt.pdf + content: | + When I went to the store on July 29th, I bought a new shirt. + + - id: mem_0138 + datetime_utc: 2026-01-10T09:12:01Z + role: user + content: | + I generally prefer concise answers unless I explicitly ask for detail. + END MEMORY + ``` + +## How it works (callback flow) + +- `on_user_message_callback`: Logs each user message and any inline file + attachment to Goodmem. +- `before_model_callback`: Retrieves relevant memories for the latest user + message and appends them to the message text. +- `after_model_callback`: Logs the LLM response to Goodmem. + +## Prerequisites + +1. `pip install google-adk` +2. Install and configure Goodmem locally or serverlessly: + [Goodmem quick start](https://goodmem.ai/quick-start) +3. Create at least one embedder in Goodmem. +4. Set these environment variables (required for the plugin): + - `GOODMEM_BASE_URL` (for example, `https://api.goodmem.ai`) + - `GOODMEM_API_KEY` +5. Set a model API key for ADK: + - `GEMINI_API_KEY` or `GOOGLE_API_KEY` + +Optional (recommended if you have multiple embedders): + - `EMBEDDER_ID` to pin the space to a specific Goodmem embedder. + +## Usage: add the plugin to an ADK agent + +```python +# @file agent.py +import os +from google.adk.agents import LlmAgent +from google.adk.apps import App +from google.adk_community.plugins.goodmem import GoodmemChatPlugin + +root_agent = LlmAgent( + model="gemini-2.5-flash", + name="root_agent", + description="A helpful assistant for user questions.", + instruction="Answer user questions to the best of your knowledge.", +) + +goodmem_chat_plugin = GoodmemChatPlugin( + base_url=os.getenv("GOODMEM_BASE_URL"), + api_key=os.getenv("GOODMEM_API_KEY"), + embedder_id=os.getenv("EMBEDDER_ID"), + top_k=5, + debug=False, +) + +app = App( + name="goodmem_plugin_demo_agent", + root_agent=root_agent, + plugins=[goodmem_chat_plugin], +) +``` + +## Run the demo + +This repo includes a ready-to-run demo in `goodmem_plugin_demo/` with an `agent.py`. + +From the parent directory of `goodmem_plugin_demo/`, run either of the two commands below: + +```bash +adk run goodmem_plugin_demo # terminal +# Or: +adk web . # web browser +``` + +## Installation for local development + +If you want to use this plugin after changes not yet merged into an official `google-adk-community` release, install from this repository in editable mode: + +```bash +# Clone the repository (or navigate to your local clone) +cd adk-python-community + +# Install the package in editable mode +pip install -e . +``` + +This will install `google-adk-community` in editable/development mode, which means: +- Changes to the source code are immediately available without reinstalling +- The `google.adk_community.plugins.goodmem` import will work +- You can test and develop with the latest code + +After installation, you can use the plugin in your agent code as shown above. +Once the plugin is merged into the official release, you can simply install +it normally with `pip install google-adk-community`. + +## File structure + +``` +├── src/google/adk_community/ +│ ├── __init__.py (modified: added plugins import, 26 lines) +│ └── plugins/ +│ ├── __init__.py (modified: updated imports to use goodmem submodule, 21 lines) +│ └── goodmem/ +│ ├── __init__.py (new: module exports, 21 lines) +│ ├── goodmem_client.py (new: 300 lines, HTTP client for Goodmem API) +│ └── goodmem.py (new: 627 lines, plugin implementation) +│ +├── tests/unittests/ +│ └── plugins/ +│ ├── __init__.py (new: test module) +│ └── test_goodmem_plugin.py (new: 34 unit tests, 997 lines) +│ +└── contributing/samples/goodmem/ + ├── README.md (new: overview of Goodmem integrations, 6 lines) + ├── PLUGIN.md (new: detailed plugin documentation, 189 lines) + └── goodmem_plugin_demo/ + └── agent.py (new: sample agent with plugin, 45 lines) +``` + +## Limitations and caveats + +1. **Goodmem backend limits are not validated client-side** + - Query message length: 10,000 characters. + - Binary upload size: 1 GB. + - Metadata keys: 50. + The plugin does not pre-validate these limits; Goodmem may reject the request. + +2. **No rate-limit handling** + HTTP 429 responses (with `Retry-After`) are not retried. + +3. **Ingestion status is not checked** + The plugin does not poll for ingestion completion; failures can be silent. + +4. **Async callbacks use synchronous HTTP** + The plugin uses `requests` inside async callbacks, which can block the + event loop under load. + +5. **Attachment handling** + - Inline binary attachments are uploaded to Goodmem. + - File references (`file_data` / URI) are not fetched or stored. + +6. **Logging** + Debug logging is best-effort. The binary upload path prints debug output + only when debug mode is enabled. + +7. **MIME type support** + The plugin filters out unsupported file types before saving to Goodmem. + However, all files are passed through to the LLM without filtering. + If the LLM doesn't support a file type (e.g., Gemini rejecting zip files), + the error will propagate to the application layer (ADK doesn't provide error + callbacks for LLM failures in plugins). This is a design limitation of Google + ADK - error handling for LLM failures must be done at the application level, + not in plugins. diff --git a/contributing/samples/goodmem/README.md b/contributing/samples/goodmem/README.md new file mode 100644 index 0000000..e08e0d1 --- /dev/null +++ b/contributing/samples/goodmem/README.md @@ -0,0 +1,14 @@ +# Goodmem integrations with ADK + +This directory contains the Goodmem tools integration for ADK plus a runnable demo. + +Goodmem offers three integrations with ADK: +1. A memory service +2. A tool that automatically logs and fetches memories (see `TOOLS.md`) +3. A plugin for chat use case (see `PLUGIN.md`) + +- `TOOLS.md` explains setup, configuration, and usage for `goodmem_save` and + `goodmem_fetch`. +- `goodmem_tools_demo/` is a minimal agent you can run with `adk run`. +- `goodmem_tools_for_adk.png` is the screenshot used in the tools guide. + diff --git a/contributing/samples/goodmem/TOOLS.md b/contributing/samples/goodmem/TOOLS.md new file mode 100644 index 0000000..4402d79 --- /dev/null +++ b/contributing/samples/goodmem/TOOLS.md @@ -0,0 +1,145 @@ +# Goodmem tools for ADK + +The Goodmem tools (`goodmem_save` and `goodmem_fetch`) let an ADK agent store +and retrieve user-specific memories. The agent decides what to save and when +to recall it. + +![Screenshot of Goodmem Tools for ADK](goodmem_tools_for_adk.png) + + +## Usage in an ADK agent + +Preparation: + +1. Install Goodmem (local or serverless) following the + [quick start](https://goodmem.ai/quick-start). +2. Create **at least one embedder** in Goodmem. +3. Get your Goodmem configuration: + - Base URL (e.g. `https://api.goodmem.ai`) without the `/v1` suffix + - API key + - Embedder ID (optional; if not provided, the tools use the first embedder) + +Then add the tools to your agent as follows: + +```python +# @file agent.py +import os +from google.adk.agents import LlmAgent +from google.adk.apps import App +from google.adk_community.tools.goodmem import GoodmemSaveTool +from google.adk_community.tools.goodmem import GoodmemFetchTool + +goodmem_save_tool = GoodmemSaveTool( + base_url="https://api.goodmem.ai", + api_key="your-api-key-here", + embedder_id="your-embedder-id", # Optional, only needed if you wanna pin a specific embedder from multiple embedders + debug=False, +) +goodmem_fetch_tool = GoodmemFetchTool( + base_url="https://api.goodmem.ai", + api_key="your-api-key-here", + embedder_id="your-embedder-id", # Optional, only needed if you wanna pin a specific embedder from multiple embedders + top_k=5, # Default number of memories to retrieve + debug=False, +) + +root_agent = LlmAgent( + model='gemini-2.5-flash', + name='goodmem_tools_agent', + description='A helpful assistant for user questions.', + instruction='Answer user questions to the best of your knowledge', + tools=[goodmem_save_tool, goodmem_fetch_tool], +) + +app = App( + name='goodmem_tools_demo', + root_agent=root_agent, +) +``` + +## Demo app in this repository + +This repo includes a ready-to-run demo in `goodmem_tools_demo/` with an `agent.py`. + +From the parent directory of `goodmem_tools_demo/`, run either of the two commands below: + +```bash +adk run goodmem_tools_demo # terminal +# Or: +adk web . # web browser, then select the "goodmem_tools_demo" agent from the left panel +``` + +## Installation for local development + +If you want to use these tools after changes not yet merged into an official `google-adk-community` release, install from this repository in editable mode: + +```bash +# Clone the repository (or navigate to your local clone) +cd adk-python-community + +# Install the package in editable/development mode +pip install -e ".[goodmem]" +``` + +This will make `from google.adk_community.tools import goodmem_save, goodmem_fetch` +available immediately, and changes you make locally will be picked up without +reinstalling. + +## File structure + +```text +adk-python-community/ +├─ contributing/samples/goodmem/ +│ ├─ TOOLS.md +│ ├─ goodmem_tools_for_adk.png +│ └─ goodmem_tools_demo/ +│ └─ agent.py +├─ src/google/adk_community/tools/goodmem/ +│ ├─ __init__.py +│ ├─ goodmem_client.py +│ └─ goodmem_tools.py +└─ tests/unittests/tools/ + └─ test_goodmem_tools.py +``` + +## Configuration parameters + +### GoodmemSaveTool + +- `base_url` (required): The base URL for the Goodmem API without the `/v1` suffix + (e.g., `"https://api.goodmem.ai"`). The client appends `/v1` internally. +- `api_key` (required): The API key for authentication. +- `embedder_id` (optional): The embedder ID to use when creating new spaces. + If not provided, uses the first available embedder. +- `debug` (optional): Enable debug logging (default: `False`). + +### GoodmemFetchTool + +- `base_url` (required): The base URL for the Goodmem API without the `/v1` suffix + (e.g., `"https://api.goodmem.ai"`). The client appends `/v1` internally. +- `api_key` (required): The API key for authentication. +- `embedder_id` (optional): The embedder ID to use when creating new spaces. + If not provided, uses the first available embedder. +- `top_k` (optional): Default number of memories to retrieve (default: `5`, max: `20`). + Can be overridden per call. +- `debug` (optional): Enable debug logging (default: `False`). + + + +## Troubleshooting + +- **Base URL errors (404s like `/v1/v1/...`)**: make sure the `base_url` does not + include `/v1`. The client appends `/v1` internally. +- **No embedders available**: create at least one embedder in Goodmem, or provide + a valid `embedder_id` when initializing the tool. +- **Auth errors**: verify the `api_key` matches your Goodmem deployment. +- **Configuration errors**: ensure `base_url` and `api_key` are provided when + initializing the tools. + +## Design notes + +- **user_id is never None**: ADK's `Session.user_id` is a required field enforced by Pydantic. Do not add defensive null-checks for `tool_context.user_id`. +- **Debug prints in binary uploads are intentional**: The data printed is already stored in Goodmem. Developers control both logs and database. +- **`_tool_debug` global flag**: This is low risk and only applies when debug mode is enabled. In normal deployments debug is off, so this does not apply. +- **Blocking HTTP in async functions**: The tools use synchronous `requests` in async functions. This matches ADK's own `RestApiTool` pattern. +- **NDJSON parsing**: Malformed lines are skipped gracefully for better UX. diff --git a/contributing/samples/goodmem/goodmem_plugin_demo/agent.py b/contributing/samples/goodmem/goodmem_plugin_demo/agent.py new file mode 100644 index 0000000..844d074 --- /dev/null +++ b/contributing/samples/goodmem/goodmem_plugin_demo/agent.py @@ -0,0 +1,45 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Example agent using the Goodmem Chat Plugin. + +For usage instructions, see PLUGIN.md. +""" + +import os + +from google.adk.agents import LlmAgent +from google.adk.apps import App +from google.adk_community.plugins.goodmem import GoodmemChatPlugin + +root_agent = LlmAgent( + model='gemini-2.5-flash', + name='root_agent', + description='A helpful assistant for user questions.', + instruction='Answer user questions to the best of your knowledge', +) + +goodmem_chat_plugin = GoodmemChatPlugin( + base_url=os.getenv("GOODMEM_BASE_URL"), + api_key=os.getenv("GOODMEM_API_KEY"), + embedder_id=os.getenv("EMBEDDER_ID"), + top_k=5, + debug=False +) + +app = App( + name="goodmem_plugin_demo", + root_agent=root_agent, + plugins=[goodmem_chat_plugin] +) diff --git a/contributing/samples/goodmem/goodmem_tools_demo/agent.py b/contributing/samples/goodmem/goodmem_tools_demo/agent.py new file mode 100644 index 0000000..fbe3070 --- /dev/null +++ b/contributing/samples/goodmem/goodmem_tools_demo/agent.py @@ -0,0 +1,51 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +import os + +from google.adk.agents import LlmAgent +from google.adk.apps import App +from google.adk_community.tools.goodmem import GoodmemSaveTool +from google.adk_community.tools.goodmem import GoodmemFetchTool + +# Initialize Goodmem tools +goodmem_save_tool = GoodmemSaveTool( + base_url=os.getenv("GOODMEM_BASE_URL"), + api_key=os.getenv("GOODMEM_API_KEY"), + embedder_id=os.getenv("GOODMEM_EMBEDDER_ID"), # Optional, only needed if you wanna pin a specific embedder from multiple embedders + debug=False +) +goodmem_fetch_tool = GoodmemFetchTool( + base_url=os.getenv("GOODMEM_BASE_URL"), + api_key=os.getenv("GOODMEM_API_KEY"), + embedder_id=os.getenv("GOODMEM_EMBEDDER_ID"), # Optional, only needed if you wanna pin a specific embedder from multiple embedders + top_k=5, # Default number of memories to retrieve + debug=False +) + +# Create root agent with Goodmem tools +root_agent = LlmAgent( + model='gemini-2.5-flash', + name='goodmem_tools_agent', + description='A helpful assistant for user questions.', + instruction='Answer user questions to the best of your knowledge', + tools=[goodmem_save_tool, goodmem_fetch_tool] +) + +# Create App (this is what adk run looks for) +app = App( + name='goodmem_tools_demo', + root_agent=root_agent, +) diff --git 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<3.0.0", # For Goodmem tools and plugin # go/keep-sorted end "orjson>=3.11.3", ] diff --git a/src/google/adk_community/__init__.py b/src/google/adk_community/__init__.py index 9a1dc35..9abb0ce 100644 --- a/src/google/adk_community/__init__.py +++ b/src/google/adk_community/__init__.py @@ -12,7 +12,16 @@ # See the License for the specific language governing permissions and # limitations under the License. +"""ADK Community package. + +This package provides community-contributed extensions for the Google ADK, +including memory services, session services, plugins, and tools. +""" + from . import memory +from . import plugins from . import sessions +from . import tools from . import version + __version__ = version.__version__ diff --git a/src/google/adk_community/plugins/__init__.py b/src/google/adk_community/plugins/__init__.py new file mode 100644 index 0000000..e45f3d4 --- /dev/null +++ b/src/google/adk_community/plugins/__init__.py @@ -0,0 +1,21 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Community plugins for ADK.""" + +from .goodmem.goodmem_plugin import GoodmemChatPlugin + +__all__ = [ + "GoodmemChatPlugin", +] diff --git a/src/google/adk_community/plugins/goodmem/__init__.py b/src/google/adk_community/plugins/goodmem/__init__.py new file mode 100644 index 0000000..57513be --- /dev/null +++ b/src/google/adk_community/plugins/goodmem/__init__.py @@ -0,0 +1,21 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Goodmem plugin module for ADK.""" + +from .goodmem_plugin import GoodmemChatPlugin + +__all__ = [ + "GoodmemChatPlugin", +] diff --git a/src/google/adk_community/plugins/goodmem/goodmem_client.py b/src/google/adk_community/plugins/goodmem/goodmem_client.py new file mode 100644 index 0000000..4eefc6f --- /dev/null +++ b/src/google/adk_community/plugins/goodmem/goodmem_client.py @@ -0,0 +1,304 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Goodmem API client for interacting with Goodmem.ai.""" + +import json +from typing import Any, Dict, List, Optional +from urllib.parse import quote + +import requests + + +class GoodmemClient: + """Client for interacting with the Goodmem API. + + Attributes: + _base_url: The base URL for the Goodmem API. + _api_key: The API key for authentication. + _headers: HTTP headers for API requests. + """ + + def __init__(self, base_url: str, api_key: str, debug: bool = False) -> None: + """Initializes the Goodmem client. + + Args: + base_url: The base URL for the Goodmem API, without the /v1 suffix + (e.g., "https://api.goodmem.ai"). + api_key: The Goodmem API key for authentication. + debug: Whether to enable debug mode. + """ + # Remove trailing slash if present to avoid double slashes in URLs + self._base_url = base_url.rstrip("/") + self._api_key = api_key + self._headers = { + "x-api-key": self._api_key, + "Content-Type": "application/json" + } + self._debug = debug + + def _safe_json_dumps(self, value: Any) -> str: + try: + return json.dumps(value, indent=2) + except (TypeError, ValueError): + return "" + + def create_space(self, space_name: str, embedder_id: str) -> Dict[str, Any]: + """Creates a new Goodmem space. + + Args: + space_name: The name of the space to create. + embedder_id: The embedder ID to use for the space. + + Returns: + The response JSON containing spaceId. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/spaces" + payload = { + "name": space_name, + "spaceEmbedders": [ + { + "embedderId": embedder_id, + "defaultRetrievalWeight": 1.0 + } + ], + "defaultChunkingConfig": { + "recursive": { + "chunkSize": 512, + "chunkOverlap": 64, + "keepStrategy": "KEEP_END", + "lengthMeasurement": "CHARACTER_COUNT" + } + } + } + response = requests.post(url, json=payload, headers=self._headers, timeout=30) + response.raise_for_status() + return response.json() + + def insert_memory( + self, + space_id: str, + content: str, + content_type: str = "text/plain", + metadata: Optional[Dict[str, Any]] = None, + ) -> Dict[str, Any]: + """Inserts a text memory into a Goodmem space. + + Args: + space_id: The ID of the space to insert into. + content: The content of the memory. + content_type: The content type (default: text/plain). + metadata: Optional metadata dict (e.g., session_id, user_id). + + Returns: + The response JSON containing memoryId and processingStatus. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/memories" + payload: Dict[str, Any] = { + "spaceId": space_id, + "originalContent": content, + "contentType": content_type + } + if metadata: + payload["metadata"] = metadata + response = requests.post(url, json=payload, headers=self._headers, timeout=30) + response.raise_for_status() + return response.json() + + def insert_memory_binary( + self, + space_id: str, + content_bytes: bytes, + content_type: str, + metadata: Optional[Dict[str, Any]] = None, + ) -> Dict[str, Any]: + """Inserts a binary memory into a Goodmem space using multipart upload. + + If debug is enabled, this method prints debug information to stdout. + + Args: + space_id: The ID of the space to insert into. + content_bytes: The raw binary content as bytes. + content_type: The MIME type (e.g., application/pdf, image/png). + metadata: Optional metadata dict (e.g., session_id, user_id, filename). + + Returns: + The response JSON containing memoryId and processingStatus. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/memories" + + if self._debug: + print("[DEBUG] insert_memory_binary called:") + print(f" - space_id: {space_id}") + print(f" - content_type: {content_type}") + print(f" - content_bytes length: {len(content_bytes)} bytes") + if metadata: + print(f" - metadata:\n{self._safe_json_dumps(metadata)}") + + # Build the JSON request metadata + request_data: Dict[str, Any] = { + "spaceId": space_id, + "contentType": content_type + } + if metadata: + request_data["metadata"] = metadata + + if self._debug: + print(f"[DEBUG] request_data:\n{self._safe_json_dumps(request_data)}") + + # Multipart form data: 'request' as form field, 'file' as file upload + data = {"request": json.dumps(request_data)} + files = {"file": ("upload", content_bytes, content_type)} + + # Use only API key header; requests will set Content-Type for multipart + headers = {"x-api-key": self._api_key} + + if self._debug: + print(f"[DEBUG] Making POST request to {url}") + response = requests.post( + url, data=data, files=files, headers=headers, timeout=120 + ) + if self._debug: + print(f"[DEBUG] Response status: {response.status_code}") + + response.raise_for_status() + result = response.json() + if self._debug: + print(f"[DEBUG] Response:\n{self._safe_json_dumps(result)}") + return result + + def retrieve_memories( + self, + query: str, + space_ids: List[str], + request_size: int = 5, + ) -> List[Dict[str, Any]]: + """Searches for chunks matching a query in given spaces. + + Args: + query: The search query message. + space_ids: List of space IDs to search in. + request_size: The number of chunks to retrieve. + + Returns: + List of matching chunks (parsed from NDJSON response). + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/memories:retrieve" + headers = self._headers.copy() + headers["Accept"] = "application/x-ndjson" + + payload = { + "message": query, + "spaceKeys": [{"spaceId": space_id} for space_id in space_ids], + "requestedSize": request_size + } + + response = requests.post(url, json=payload, headers=headers, timeout=30) + response.raise_for_status() + + chunks = [] + for line in response.text.strip().split("\n"): + if line.strip(): # Skip blank/empty lines + try: + tmp_dict = json.loads(line) + if "retrievedItem" in tmp_dict: + chunks.append(tmp_dict) + except json.JSONDecodeError: + # Skip malformed lines (e.g., transmission errors) + continue + return chunks + + def list_spaces(self, name: Optional[str] = None) -> List[Dict[str, Any]]: + """Lists spaces, optionally filtering by name. + + Returns: + List of spaces (optionally filtered by name). + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/spaces" + + all_spaces = [] + next_token = None + max_results = 1000 + + while True: + # Build query parameters + params = {"maxResults": max_results} + if next_token: + params["nextToken"] = next_token + if name: + params["nameFilter"] = name + + response = requests.get( + url, headers=self._headers, params=params, timeout=30 + ) + response.raise_for_status() + + data = response.json() + spaces = data.get("spaces", []) + all_spaces.extend(spaces) + + # Check for next page + next_token = data.get("nextToken") + if not next_token: + break + + return all_spaces + + def list_embedders(self) -> List[Dict[str, Any]]: + """Lists all embedders. + + Returns: + List of embedders. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/embedders" + response = requests.get(url, headers=self._headers, timeout=30) + response.raise_for_status() + return response.json().get("embedders", []) + + def get_memory_by_id(self, memory_id: str) -> Dict[str, Any]: + """Gets a memory by its ID. + + Args: + memory_id: The ID of the memory to retrieve. + + Returns: + The memory object including metadata, contentType, etc. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + # URL-encode the memory_id to handle special characters + encoded_memory_id = quote(memory_id, safe="") + url = f"{self._base_url}/v1/memories/{encoded_memory_id}" + response = requests.get(url, headers=self._headers, timeout=30) + response.raise_for_status() + return response.json() diff --git a/src/google/adk_community/plugins/goodmem/goodmem_plugin.py b/src/google/adk_community/plugins/goodmem/goodmem_plugin.py new file mode 100644 index 0000000..475d4bf --- /dev/null +++ b/src/google/adk_community/plugins/goodmem/goodmem_plugin.py @@ -0,0 +1,810 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Goodmem plugin for persistent chat memory tracking. + +This module provides a plugin that integrates with Goodmem.ai for storing +and retrieving conversation memories to augment LLM prompts with context. +""" + +from datetime import datetime, timezone +from typing import Any, Dict, List, Optional, Union + +from google.adk.agents.callback_context import CallbackContext +from google.adk.agents.invocation_context import InvocationContext +from google.adk.models.llm_request import LlmRequest +from google.adk.models.llm_response import LlmResponse +from google.adk.runners import BasePlugin +from google.genai import types + +from .goodmem_client import GoodmemClient + + +class GoodmemChatPlugin(BasePlugin): + """ADK plugin for persistent chat memory tracking using Goodmem. + + Logs user messages and LLM responses, and retrieves relevant history + to augment prompts with context. + + Attributes: + debug: Whether debug mode is enabled. + goodmem_client: The Goodmem API client. + embedder_id: The embedder ID used for the space. + top_k: Number of relevant entries to retrieve. + """ + + def __init__( + self, + base_url: str, + api_key: str, + name: str = "GoodmemChatPlugin", + embedder_id: Optional[str] = None, + top_k: int = 5, + debug: bool = False, + ) -> None: + """Initializes the Goodmem Chat Plugin. + + Args: + base_url: The base URL for the Goodmem API. + api_key: The API key for authentication. + name: The name of the plugin. + embedder_id: The embedder ID to use. If not provided, will fetch the + first embedder from API. + top_k: The number of top-k most relevant entries to retrieve. + debug: Whether to enable debug mode. + + Raises: + ValueError: If base_url or api_key is None. + ValueError: If no embedders are available or embedder_id is invalid. + """ + super().__init__(name=name) + + self.debug = debug + if self.debug: + print(f"[DEBUG] GoodmemChatPlugin initialized with name={name}, " + f"top_k={top_k}") + + if base_url is None: + raise ValueError( + "GOODMEM_BASE_URL must be provided as parameter or set as " + "environment variable" + ) + if api_key is None: + raise ValueError( + "GOODMEM_API_KEY must be provided as parameter or set as " + "environment variable" + ) + + self.goodmem_client = GoodmemClient(base_url, api_key, debug=self.debug) + + embedders = self.goodmem_client.list_embedders() + if not embedders: + raise ValueError( + "No embedders available in Goodmem. Please create at least one " + "embedder in Goodmem." + ) + + if embedder_id is None: + self.embedder_id = embedders[0].get("embedderId", None) + else: + if embedder_id in [embedder.get("embedderId") for embedder in embedders]: + self.embedder_id = embedder_id + else: + raise ValueError( + f"EMBEDDER_ID {embedder_id} is not valid. Please provide a valid " + "embedder ID" + ) + + if self.embedder_id is None: + raise ValueError( + "EMBEDDER_ID is not set and no embedders available in Goodmem." + ) + + self.top_k: int = top_k + + def _is_mime_type_supported(self, mime_type: str) -> bool: + """Checks if a MIME type is supported by Goodmem's TextContentExtractor. + + Based on the Goodmem source code, TextContentExtractor supports: + - All text/* MIME types + - application/pdf + - application/rtf + - application/msword (.doc) + - application/vnd.openxmlformats-officedocument.wordprocessingml.document (.docx) + - Any MIME type containing "+xml" (e.g., application/xhtml+xml, application/epub+zip) + - Any MIME type containing "json" (e.g., application/json) + + Args: + mime_type: The MIME type to check (e.g., "image/png", "application/pdf"). + + Returns: + True if the MIME type is supported by Goodmem, False otherwise. + """ + if not mime_type: + return False + + mime_type_lower = mime_type.lower() + + # All text/* types are supported + if mime_type_lower.startswith("text/"): + return True + + # Specific application types + if mime_type_lower in ( + "application/pdf", + "application/rtf", + "application/msword", + "application/vnd.openxmlformats-officedocument.wordprocessingml.document", + ): + return True + + # XML-based formats (contains "+xml") + if "+xml" in mime_type_lower: + return True + + # JSON formats (contains "json") + if "json" in mime_type_lower: + return True + + return False + + def _get_space_id( + self, context: Union[InvocationContext, CallbackContext] + ) -> Optional[str]: + """Gets or creates the chat space for the current user. + + Uses session state for caching, which persists across invocations + within the same session. This eliminates shared instance state and prevents + race conditions. + + Args: + context: Either invocation_context or callback_context. Both provide + access to user_id and session state. + + Returns: + The space ID for the user, or None if an error occurred. + """ + try: + # Get session state (works for both context types) + if hasattr(context, 'state'): + # callback_context has .state property + state = context.state + else: + # invocation_context needs .session.state + state = context.session.state + + # Check session-persisted cache first + cached_space_id = state.get('_goodmem_space_id') + if cached_space_id: + if self.debug: + print(f"[DEBUG] Using cached space_id from session state: " + f"{cached_space_id}") + return cached_space_id + + # Get user_id from context + user_id = context.user_id + space_name = f"adk_chat_{user_id}" + + if self.debug: + print(f"[DEBUG] _get_space_id called for user {user_id}, " + f"space_name={space_name}") + + # Search for existing space + if self.debug: + print(f"[DEBUG] Checking if {space_name} space exists...") + spaces = self.goodmem_client.list_spaces(name=space_name) + for space in spaces: + if space.get("name") == space_name: + space_id = space.get("spaceId") + if space_id: + # Cache in session state for future callbacks + state['_goodmem_space_id'] = space_id + if self.debug: + print(f"[DEBUG] Found existing {space_name} space: {space_id}") + return space_id + + # Space doesn't exist, create it + if self.debug: + print(f"[DEBUG] {space_name} space not found, creating new one...") + if self.embedder_id is None: + raise ValueError("embedder_id is not set") + + response = self.goodmem_client.create_space(space_name, self.embedder_id) + space_id = response.get("spaceId") + + if space_id: + # Cache in session state for future callbacks + state['_goodmem_space_id'] = space_id + if self.debug: + print(f"[DEBUG] Created new chat space: {space_id}") + return space_id + + return None + + except Exception as e: + if self.debug: + print(f"[DEBUG] Error in _get_space_id: {e}") + import traceback + traceback.print_exc() + return None + + def _extract_user_content(self, llm_request: LlmRequest) -> str: + """Extracts user message text from LLM request. + + Args: + llm_request: The LLM request object. + + Returns: + The extracted user content text. + """ + contents = llm_request.contents if hasattr(llm_request, "contents") else [] + if isinstance(contents, list) and len(contents) > 0: + last_content = contents[-1] + elif isinstance(contents, list): + return "" + else: + last_content = contents + + user_content = "" + if hasattr(last_content, "text") and last_content.text: + user_content = last_content.text + elif hasattr(last_content, "parts"): + for part in last_content.parts: + if hasattr(part, "text") and part.text: + user_content += part.text + elif isinstance(last_content, str): + user_content = last_content + + return user_content + + async def on_user_message_callback( + self, *, invocation_context: InvocationContext, user_message: types.Content + ) -> Optional[types.Content]: + """Logs user message and file attachments to Goodmem. + + This callback is called when a user message is received, before any model + processing. Handles both text content and file attachments (inline_data). + + Note: Only filters files for Goodmem storage. All files are passed through to + the LLM without filtering. If the LLM doesn't support a file type (e.g., Gemini + rejecting zip files), the error will propagate to the application layer. ADK plugins + cannot catch LLM errors because the LLM call happens outside the plugin callback + chain (between before_model_callback and after_model_callback). This is a design + limitation of Google ADK - error handling for LLM failures must be done at the + application level, not in plugins. + + Args: + invocation_context: The invocation context containing user info. + user_message: The user message content. + + Returns: + None to allow normal processing to continue (all files go to LLM). + """ + if self.debug: + print("[DEBUG] on_user_message called!") + + space_id = self._get_space_id(invocation_context) + + if not space_id: + if self.debug: + print("[DEBUG] No space_id, skipping user message logging") + return None + + try: + if not hasattr(user_message, "parts") or not user_message.parts: + if self.debug: + print("[DEBUG] No parts found in user_message") + return None + + base_metadata: Dict[str, Any] = { + "session_id": ( + invocation_context.session.id + if hasattr(invocation_context, "session") + and invocation_context.session + else None + ), + "user_id": invocation_context.user_id, + "role": "user" + } + base_metadata = {k: v for k, v in base_metadata.items() if v is not None} + + for part in user_message.parts: + if hasattr(part, "text") and part.text: + content_with_prefix = f"User: {part.text}" + self.goodmem_client.insert_memory( + space_id, content_with_prefix, "text/plain", + metadata=base_metadata + ) + if self.debug: + print(f"[DEBUG] Logged user text to Goodmem: {part.text[:100]}") + + if hasattr(part, "inline_data") and part.inline_data: + blob = part.inline_data + file_bytes = blob.data + mime_type = blob.mime_type or "application/octet-stream" + display_name = getattr(blob, "display_name", None) or "attachment" + + if self.debug: + print(f"[DEBUG] File attachment: {display_name}, " + f"mime={mime_type}, size={len(file_bytes)} bytes") + + # Only filter for Goodmem - let all files through to LLM + # If LLM doesn't support a file type, it will return an error that + # should be handled by the application (ADK doesn't provide error + # callbacks for LLM failures in plugins) + if not self._is_mime_type_supported(mime_type): + # Always log skipped files (not just in debug mode) so users know + # why their files aren't being stored in Goodmem + print( + f"[WARNING] Skipping file attachment '{display_name}' " + f"for Goodmem storage (MIME type '{mime_type}' is not supported by Goodmem). " + f"Supported types: text/*, application/pdf, application/rtf, " + f"application/msword, application/vnd.openxmlformats-officedocument.wordprocessingml.document, " + f"*+xml, *json. The file will still be sent to the LLM." + ) + if self.debug: + print(f"[DEBUG] Detailed skip reason: MIME type {mime_type} failed support check") + # Don't send to Goodmem, but file will still go to LLM + continue + + # Defensive check: double-verify before sending to Goodmem + # This should never trigger if filtering is working correctly + if not self._is_mime_type_supported(mime_type): + print( + f"[ERROR] Internal error: Attempted to send unsupported MIME type " + f"'{mime_type}' to Goodmem. This should not happen. " + f"File '{display_name}' will be skipped." + ) + continue + + file_metadata = {**base_metadata, "filename": display_name} + self.goodmem_client.insert_memory_binary( + space_id, file_bytes, mime_type, metadata=file_metadata + ) + + if self.debug: + print(f"[DEBUG] Logged file attachment to Goodmem: {display_name}") + + if hasattr(part, "file_data") and part.file_data: + file_info = part.file_data + file_uri = file_info.file_uri + mime_type = file_info.mime_type + if self.debug: + print(f"[DEBUG] File reference (URI): {file_uri}, " + f"mime={mime_type} - not fetching content") + # Note: file_data references are not sent to Goodmem, so no + # exclusion check needed here + + return None + + except Exception as e: + if self.debug: + print(f"[DEBUG] Error in on_user_message: {e}") + import traceback + traceback.print_exc() + return None + + def _format_timestamp(self, timestamp_ms: int) -> str: + """Formats millisecond timestamp to ISO 8601 UTC format. + + Args: + timestamp_ms: Timestamp in milliseconds. + + Returns: + ISO 8601 formatted timestamp string. + """ + try: + dt = datetime.fromtimestamp(timestamp_ms / 1000, tz=timezone.utc) + return dt.strftime("%Y-%m-%dT%H:%M:%SZ") + except Exception: + return str(timestamp_ms) + + def _format_chunk_context( + self, + chunk_content: str, + memory_id: str, + timestamp_ms: int, + metadata: Dict[str, Any], + ) -> str: + """Formats a chunk with its memory's metadata for context injection. + + Args: + chunk_content: The chunk text content. + memory_id: The memory ID. + timestamp_ms: Timestamp in milliseconds. + metadata: The memory metadata dict. + + Returns: + Formatted chunk context string in YAML-like format. + """ + role = metadata.get("role", "user").lower() + datetime_utc = self._format_timestamp(timestamp_ms) + + content = chunk_content + if content.startswith("User: "): + content = content[6:] + elif content.startswith("LLM: "): + content = content[5:] + + lines = [f"- id: {memory_id}"] + lines.append(f" datetime_utc: {datetime_utc}") + lines.append(f" role: {role}") + + filename = metadata.get("filename") + if filename: + lines.append(" attachments:") + lines.append(f" - filename: {filename}") + + lines.append(" content: |") + for line in content.split("\n"): + lines.append(f" {line}") + + return "\n".join(lines) + + def _format_timestamp_for_table(self, timestamp_ms: int) -> str: + """Formats timestamp for table display. + + Args: + timestamp_ms: Timestamp in milliseconds. + + Returns: + Formatted timestamp string in yyyy-mm-dd hh:mm format. + """ + try: + dt = datetime.fromtimestamp(timestamp_ms / 1000, tz=timezone.utc) + return dt.strftime("%Y-%m-%d %H:%M") + except Exception: + return str(timestamp_ms) + + def _wrap_content(self, content: str, max_width: int = 55) -> List[str]: + """Wraps content to fit within max_width characters. + + Args: + content: The content to wrap. + max_width: Maximum width in characters. + + Returns: + List of wrapped lines. + """ + lines = [] + words = content.split() + current_line: List[str] = [] + current_length = 0 + + for word in words: + word_length = len(word) + # If adding this word would exceed max_width, start a new line + if current_length > 0 and current_length + 1 + word_length > max_width: + lines.append(" ".join(current_line)) + current_line = [word] + current_length = word_length + else: + current_line.append(word) + current_length += (1 + word_length if current_length > 0 else word_length) + + if current_line: + lines.append(" ".join(current_line)) + + return lines if lines else [""] + + def _format_debug_table( + self, + records: List[Dict[str, Any]] + ) -> str: + """Formats memory records as a table for debug output. + + Args: + records: List of dicts with keys: memory_id, timestamp_ms, role, content. + + Returns: + Formatted table string. + """ + if not records: + return "" + + # Calculate column widths + id_width = max(len(r["memory_id"]) for r in records) + datetime_width = 16 # yyyy-mm-dd hh:mm + role_width = max(len(r["role"]) for r in records) + content_width = 55 + + # Header + header = ( + f"{'memory ID':<{id_width}} | " + f"{'datetime':<{datetime_width}} | " + f"{'role':<{role_width}} | " + f"{'content':<{content_width}}" + ) + separator = "-" * len(header) + + lines = [header, separator] + + # Rows + for record in records: + memory_id = record["memory_id"] + datetime_str = self._format_timestamp_for_table(record["timestamp_ms"]) + role = record["role"] + content_lines = self._wrap_content(record["content"], content_width) + + # First line with all columns + if content_lines: + first_line = ( + f"{memory_id:<{id_width}} | " + f"{datetime_str:<{datetime_width}} | " + f"{role:<{role_width}} | " + f"{content_lines[0]:<{content_width}}" + ) + lines.append(first_line) + + # Additional lines for wrapped content (only content column) + for content_line in content_lines[1:]: + lines.append( + f"{'':<{id_width}} | " + f"{'':<{datetime_width}} | " + f"{'':<{role_width}} | " + f"{content_line:<{content_width}}" + ) + else: + lines.append( + f"{memory_id:<{id_width}} | " + f"{datetime_str:<{datetime_width}} | " + f"{role:<{role_width}} | " + f"{'':<{content_width}}" + ) + + return "\n".join(lines) + + async def before_model_callback( + self, *, callback_context: CallbackContext, llm_request: LlmRequest + ) -> Optional[LlmResponse]: + """Retrieves relevant chat history and augments the LLM request. + + This callback is called before the model is called. It retrieves top-k + relevant messages from history and augments the request with context. + + Args: + callback_context: The callback context containing user info. + llm_request: The LLM request to augment. + + Returns: + None to allow normal LLM processing with the modified request. + """ + if self.debug: + print("[DEBUG] before_model_callback called!") + + space_id = self._get_space_id(callback_context) + + if not space_id: + if self.debug: + print("[DEBUG] No space_id, returning None") + return None + + try: + user_content = self._extract_user_content(llm_request) + + if not user_content: + if self.debug: + print("[DEBUG] No user content found for retrieval") + return None + + if self.debug: + print(f"[DEBUG] Retrieving top-{self.top_k} relevant chunks for " + f"user content: {user_content}") + chunks = self.goodmem_client.retrieve_memories( + user_content, [space_id], request_size=self.top_k + ) + + if not chunks: + return None + + def get_chunk_data(item: Dict[str, Any]) -> Optional[Dict[str, Any]]: + try: + return item["retrievedItem"]["chunk"]["chunk"] + except Exception as e: + if self.debug: + print(f"[DEBUG] Error extracting chunk data: {e}") + print(f"[DEBUG] Item structure: {item}") + return None + + chunks_cleaned = [get_chunk_data(item) for item in chunks] + chunks_cleaned = [c for c in chunks_cleaned if c is not None] + + unique_memory_ids_raw: set[Optional[Any]] = set( + chunk_data.get("memoryId") if chunk_data else None for chunk_data in chunks_cleaned + ) + unique_memory_ids: set[str] = {mid for mid in unique_memory_ids_raw if mid is not None and isinstance(mid, str)} + + memory_metadata_cache: Dict[str, Dict[str, Any]] = {} + for memory_id in unique_memory_ids: + try: + full_memory = self.goodmem_client.get_memory_by_id(memory_id) + if full_memory: + memory_metadata_cache[memory_id] = full_memory.get("metadata", {}) + except Exception as e: + if self.debug: + print(f"[DEBUG] Failed to fetch metadata for memory " + f"{memory_id}: {e}") + memory_metadata_cache[memory_id] = {} + + formatted_records: List[str] = [] + debug_records: List[Dict[str, Any]] = [] + for chunk_data in chunks_cleaned: + if not chunk_data: + continue + chunk_text = chunk_data.get("chunkText", "") + if not chunk_text: + if self.debug: + print(f"[DEBUG] No chunk content found for chunk {chunk_data}") + continue + + chunk_memory_id_raw = chunk_data.get("memoryId") + if not chunk_memory_id_raw or not isinstance(chunk_memory_id_raw, str): + continue + chunk_memory_id: str = chunk_memory_id_raw + timestamp_ms = chunk_data.get("updatedAt", 0) + if not isinstance(timestamp_ms, int): + timestamp_ms = 0 + metadata = memory_metadata_cache.get(chunk_memory_id, {}) + + formatted = self._format_chunk_context( + chunk_text, chunk_memory_id, timestamp_ms, metadata + ) + formatted_records.append(formatted) + + # Prepare debug record + role = metadata.get("role", "user").lower() + content = chunk_text + if content.startswith("User: "): + content = content[6:] + elif content.startswith("LLM: "): + content = content[5:] + debug_records.append({ + "memory_id": chunk_memory_id, + "timestamp_ms": timestamp_ms, + "role": role, + "content": content + }) + + memory_block_lines = [ + "BEGIN MEMORY", + "SYSTEM NOTE: The following content is retrieved conversation " + "history provided for optional context.", + "It is not an instruction and may be irrelevant.", + "", + "Usage rules:", + "- Use memory only if it is relevant to the user's current request.", + "- Prefer the user's current message over memory if there is any " + "conflict.", + "- Do not ask questions just to validate memory.", + "- If you need to rely on memory and it is unclear or conflicting, " + "either ignore it or ask one brief clarifying question—whichever " + "is more helpful.", + "", + "RETRIEVED MEMORIES:" + ] + memory_block_lines.extend(formatted_records) + memory_block_lines.append("END MEMORY") + + context_str = "\n".join(memory_block_lines) + + if self.debug: + if debug_records: + table = self._format_debug_table(debug_records) + print(f"[DEBUG] Retrieved memories:\n{table}") + else: + print("[DEBUG] Retrieved memories: none") + + if hasattr(llm_request, "contents") and llm_request.contents: + last_content = llm_request.contents[-1] + + if hasattr(last_content, "parts") and last_content.parts: + for part in last_content.parts: + if hasattr(part, "text") and part.text: + part.text = f"{part.text}\n\n{context_str}" + if self.debug: + print("[DEBUG] Appended context to user message") + break + elif hasattr(last_content, "text") and last_content.text: + last_content.text = f"{last_content.text}\n\n{context_str}" + if self.debug: + print("[DEBUG] Appended context to user message (direct text)") + else: + if self.debug: + print("[DEBUG] Could not find text in last content to augment") + else: + if self.debug: + print("[DEBUG] llm_request has no contents to augment") + + return None + + except Exception as e: + if self.debug: + print(f"[DEBUG] Error in before_model_callback: {e}") + import traceback + traceback.print_exc() + return None + + async def after_model_callback( + self, *, callback_context: CallbackContext, llm_response: LlmResponse + ) -> Optional[LlmResponse]: + """Logs the LLM response to Goodmem. + + This callback is called after the model generates a response. + + Args: + callback_context: The callback context containing user info. + llm_response: The LLM response to log. + + Returns: + None to allow normal processing to continue. + """ + if self.debug: + print("[DEBUG] after_model_callback called!") + + space_id = self._get_space_id(callback_context) + + if not space_id: + if self.debug: + print("[DEBUG] No space_id in after_model_callback, returning None") + return None + + try: + response_content: str = "" + + if hasattr(llm_response, "content") and llm_response.content: + content = llm_response.content + + if hasattr(content, "text"): + response_content = content.text + elif hasattr(content, "parts") and content.parts: + for part in content.parts: + if hasattr(part, "text") and isinstance(part.text, str): + response_content += part.text + elif isinstance(content, str): + response_content = content + elif hasattr(llm_response, "text"): + response_content = llm_response.text + + if not response_content: + if self.debug: + print("[DEBUG] No response_content extracted, returning None") + return None + + metadata: Dict[str, Any] = { + "session_id": ( + callback_context.session.id + if hasattr(callback_context, "session") + and callback_context.session + else None + ), + "user_id": callback_context.user_id, + "role": "LLM" + } + metadata = {k: v for k, v in metadata.items() if v is not None} + + content_with_prefix = f"LLM: {response_content}" + self.goodmem_client.insert_memory( + space_id, content_with_prefix, "text/plain", metadata=metadata + ) + if self.debug: + print("[DEBUG] Successfully inserted LLM response to Goodmem") + + return None + + except Exception as e: + if self.debug: + print(f"[DEBUG] Error in after_model_callback: {e}") + import traceback + traceback.print_exc() + return None diff --git a/src/google/adk_community/tools/__init__.py b/src/google/adk_community/tools/__init__.py new file mode 100644 index 0000000..c3c2f2e --- /dev/null +++ b/src/google/adk_community/tools/__init__.py @@ -0,0 +1,24 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Community-contributed tools for Google ADK.""" + +# Export tool classes - users should instantiate them with configuration +from .goodmem.goodmem_tools import GoodmemFetchTool +from .goodmem.goodmem_tools import GoodmemSaveTool + +__all__ = [ + "GoodmemSaveTool", + "GoodmemFetchTool", +] diff --git a/src/google/adk_community/tools/goodmem/__init__.py b/src/google/adk_community/tools/goodmem/__init__.py new file mode 100644 index 0000000..d144748 --- /dev/null +++ b/src/google/adk_community/tools/goodmem/__init__.py @@ -0,0 +1,35 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Goodmem tools module for ADK.""" + +from .goodmem_client import GoodmemClient +from .goodmem_tools import goodmem_fetch +from .goodmem_tools import goodmem_save +from .goodmem_tools import GoodmemFetchResponse +from .goodmem_tools import GoodmemFetchTool +from .goodmem_tools import GoodmemSaveResponse +from .goodmem_tools import GoodmemSaveTool +from .goodmem_tools import MemoryItem + +__all__ = [ + "GoodmemClient", + "goodmem_save", + "goodmem_fetch", + "GoodmemSaveResponse", + "GoodmemSaveTool", + "GoodmemFetchResponse", + "GoodmemFetchTool", + "MemoryItem", +] diff --git a/src/google/adk_community/tools/goodmem/goodmem_client.py b/src/google/adk_community/tools/goodmem/goodmem_client.py new file mode 100644 index 0000000..bb9dc0c --- /dev/null +++ b/src/google/adk_community/tools/goodmem/goodmem_client.py @@ -0,0 +1,305 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Goodmem API client for interacting with Goodmem.ai.""" + +import json +from typing import Any +from typing import Dict +from typing import List +from typing import Optional +from urllib.parse import quote + +import requests + + +class GoodmemClient: + """Client for interacting with the Goodmem API. + + Attributes: + _base_url: The base URL for the Goodmem API. + _api_key: The API key for authentication. + _headers: HTTP headers for API requests. + """ + + def __init__(self, base_url: str, api_key: str, debug: bool = False) -> None: + """Initializes the Goodmem client. + + Args: + base_url: The base URL for the Goodmem API, without the /v1 suffix + (e.g., "https://api.goodmem.ai"). + api_key: The Goodmem API key for authentication. + """ + # Remove trailing slash if present to avoid double slashes in URLs + self._base_url = base_url.rstrip("/") + self._api_key = api_key + self._headers = { + "x-api-key": self._api_key, + "Content-Type": "application/json", + } + self._debug = debug + + def _safe_json_dumps(self, value: Any) -> str: + try: + return json.dumps(value, indent=2) + except (TypeError, ValueError): + return f"" + + def create_space(self, space_name: str, embedder_id: str) -> Dict[str, Any]: + """Creates a new Goodmem space. + + Args: + space_name: The name of the space to create. + embedder_id: The embedder ID to use for the space. + + Returns: + The response JSON containing spaceId. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/spaces" + payload = { + "name": space_name, + "spaceEmbedders": [ + {"embedderId": embedder_id, "defaultRetrievalWeight": 1.0} + ], + "defaultChunkingConfig": { + "recursive": { + "chunkSize": 512, + "chunkOverlap": 64, + "keepStrategy": "KEEP_END", + "lengthMeasurement": "CHARACTER_COUNT", + } + }, + } + response = requests.post( + url, json=payload, headers=self._headers, timeout=30 + ) + response.raise_for_status() + return response.json() + + def insert_memory( + self, + space_id: str, + content: str, + content_type: str = "text/plain", + metadata: Optional[Dict[str, Any]] = None, + ) -> Dict[str, Any]: + """Inserts a text memory into a Goodmem space. + + Args: + space_id: The ID of the space to insert into. + content: The content of the memory. + content_type: The content type (default: text/plain). + metadata: Optional metadata dict (e.g., session_id, user_id). + + Returns: + The response JSON containing memoryId and processingStatus. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/memories" + payload: Dict[str, Any] = { + "spaceId": space_id, + "originalContent": content, + "contentType": content_type, + } + if metadata: + payload["metadata"] = metadata + response = requests.post( + url, json=payload, headers=self._headers, timeout=30 + ) + response.raise_for_status() + return response.json() + + def insert_memory_binary( + self, + space_id: str, + content_bytes: bytes, + content_type: str, + metadata: Optional[Dict[str, Any]] = None, + ) -> Dict[str, Any]: + """Inserts a binary memory into a Goodmem space using multipart upload. + + Args: + space_id: The ID of the space to insert into. + content_bytes: The raw binary content as bytes. + content_type: The MIME type (e.g., application/pdf, image/png). + metadata: Optional metadata dict (e.g., session_id, user_id, filename). + + Returns: + The response JSON containing memoryId and processingStatus. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/memories" + + if self._debug: + print("[DEBUG] insert_memory_binary called:") + print(f" - space_id: {space_id}") + print(f" - content_type: {content_type}") + print(f" - content_bytes length: {len(content_bytes)} bytes") + if metadata: + print(f" - metadata:\n{self._safe_json_dumps(metadata)}") + + # Build the JSON request metadata + request_data: Dict[str, Any] = { + "spaceId": space_id, + "contentType": content_type, + } + if metadata: + request_data["metadata"] = metadata + + if self._debug: + print(f"[DEBUG] request_data:\n{self._safe_json_dumps(request_data)}") + + # Multipart form data: 'request' as form field, 'file' as file upload + data = {"request": json.dumps(request_data)} + files = {"file": ("upload", content_bytes, content_type)} + + # Use only API key header; requests will set Content-Type for multipart + headers = {"x-api-key": self._api_key} + + if self._debug: + print(f"[DEBUG] Making POST request to {url}") + response = requests.post( + url, data=data, files=files, headers=headers, timeout=120 + ) + if self._debug: + print(f"[DEBUG] Response status: {response.status_code}") + + response.raise_for_status() + result = response.json() + if self._debug: + print(f"[DEBUG] Response:\n{self._safe_json_dumps(result)}") + return result + + def retrieve_memories( + self, + query: str, + space_ids: List[str], + request_size: int = 5, + ) -> List[Dict[str, Any]]: + """Searches for chunks matching a query in given spaces. + + Args: + query: The search query message. + space_ids: List of space IDs to search in. + request_size: The number of chunks to retrieve. + + Returns: + List of matching chunks (parsed from NDJSON response). + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/memories:retrieve" + headers = self._headers.copy() + headers["Accept"] = "application/x-ndjson" + + payload = { + "message": query, + "spaceKeys": [{"spaceId": space_id} for space_id in space_ids], + "requestedSize": request_size, + } + + response = requests.post(url, json=payload, headers=headers, timeout=30) + response.raise_for_status() + + chunks = [] + for line in response.text.strip().split("\n"): + if line.strip(): # Skip blank/empty lines + try: + tmp_dict = json.loads(line) + if "retrievedItem" in tmp_dict: + chunks.append(tmp_dict) + except json.JSONDecodeError: + # Skip malformed lines (e.g., transmission errors) + continue + return chunks + + def list_spaces(self, name: Optional[str] = None) -> List[Dict[str, Any]]: + """Lists spaces, optionally filtering by name. + + Returns: + List of spaces (optionally filtered by name). + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/spaces" + + all_spaces = [] + next_token = None + max_results = 1000 + + while True: + # Build query parameters + params = {"maxResults": max_results} + if next_token: + params["nextToken"] = next_token + if name: + params["nameFilter"] = name + + response = requests.get( + url, headers=self._headers, params=params, timeout=30 + ) + response.raise_for_status() + + data = response.json() + spaces = data.get("spaces", []) + all_spaces.extend(spaces) + + # Check for next page + next_token = data.get("nextToken") + if not next_token: + break + + return all_spaces + + def list_embedders(self) -> List[Dict[str, Any]]: + """Lists all embedders. + + Returns: + List of embedders. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + url = f"{self._base_url}/v1/embedders" + response = requests.get(url, headers=self._headers, timeout=30) + response.raise_for_status() + return response.json().get("embedders", []) + + def get_memory_by_id(self, memory_id: str) -> Dict[str, Any]: + """Gets a memory by its ID. + + Args: + memory_id: The ID of the memory to retrieve. + + Returns: + The memory object including metadata, contentType, etc. + + Raises: + requests.exceptions.RequestException: If the API request fails. + """ + # URL-encode the memory_id to handle special characters + encoded_memory_id = quote(memory_id, safe="") + url = f"{self._base_url}/v1/memories/{encoded_memory_id}" + response = requests.get(url, headers=self._headers, timeout=30) + response.raise_for_status() + return response.json() diff --git a/src/google/adk_community/tools/goodmem/goodmem_tools.py b/src/google/adk_community/tools/goodmem/goodmem_tools.py new file mode 100644 index 0000000..549384b --- /dev/null +++ b/src/google/adk_community/tools/goodmem/goodmem_tools.py @@ -0,0 +1,1006 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Goodmem tools for writing to and retrieving from Goodmem storage. + +This module provides tools that allow agents to explicitly manage persistent +memory storage using Goodmem.ai: +- goodmem_save: Write content to memory with automatic metadata +- goodmem_fetch: Search and retrieve memories using semantic search +""" + +from __future__ import annotations + +import inspect +from datetime import datetime +from datetime import timezone +import threading +from typing import Dict +from typing import List +from typing import Optional +from typing import TypedDict + +from google.adk.tools import FunctionTool +from google.adk.tools.tool_context import ToolContext +from pydantic import BaseModel +from pydantic import Field +from pydantic import JsonValue +import requests + +from .goodmem_client import GoodmemClient + +# ============================================================================ +# HELPER FUNCTIONS +# ============================================================================ + +# Module-level client cache to avoid recreating on every call +_client_cache: Dict[tuple[str, str, bool], GoodmemClient] = {} +_client_cache_lock = threading.Lock() + +# Module-level debug flag (set by tool instances) +_tool_debug = False + + +class DebugRecord(TypedDict): + """Record used for debug table rendering.""" + + memory_id: str + timestamp_ms: Optional[int] + role: str + content: str + + +class ChunkData(TypedDict): + memoryId: str + chunkText: str + updatedAt: Optional[int] + + +def _format_timestamp_for_table(timestamp_ms: Optional[int]) -> str: + """Formats timestamp for table display. + + Args: + timestamp_ms: Timestamp in milliseconds. + + Returns: + Formatted timestamp string in yyyy-mm-dd hh:mm format. + """ + if timestamp_ms is None: + return "" + try: + dt = datetime.fromtimestamp(timestamp_ms / 1000, tz=timezone.utc) + return dt.strftime("%Y-%m-%d %H:%M") + except Exception: + return str(timestamp_ms) + + +def _wrap_content(content: str, max_width: int = 55) -> List[str]: + """Wraps content to fit within max_width characters. + + Args: + content: The content to wrap. + max_width: Maximum width in characters. + + Returns: + List of wrapped lines. + """ + lines: List[str] = [] + words: List[str] = content.split() + current_line: List[str] = [] + current_length = 0 + + for word in words: + word_length = len(word) + # If adding this word would exceed max_width, start a new line + if current_length > 0 and current_length + 1 + word_length > max_width: + lines.append(" ".join(current_line)) + current_line = [word] + current_length = word_length + else: + current_line.append(word) + current_length += 1 + word_length if current_length > 0 else word_length + + if current_line: + lines.append(" ".join(current_line)) + + return lines if lines else [""] + + +def _format_debug_table(records: List[DebugRecord]) -> str: + """Formats memory records as a table for debug output. + + Args: + records: List of dicts with keys: memory_id, timestamp_ms, role, content. + + Returns: + Formatted table string. + """ + if not records: + return "" + + # Calculate column widths + id_width = max(len(r["memory_id"]) for r in records) + datetime_width = 16 # yyyy-mm-dd hh:mm + role_width = max(len(r["role"]) for r in records) + content_width = 55 + + # Header + header = ( + f"{'memory ID':<{id_width}} | " + f"{'datetime':<{datetime_width}} | " + f"{'role':<{role_width}} | " + f"{'content':<{content_width}}" + ) + separator = "-" * len(header) + + lines = [header, separator] + + # Rows + for record in records: + memory_id = record["memory_id"] + datetime_str = _format_timestamp_for_table(record["timestamp_ms"]) + role = record["role"] + content_lines = _wrap_content(record["content"], content_width) + + # First line with all columns + if content_lines: + first_line = ( + f"{memory_id:<{id_width}} | " + f"{datetime_str:<{datetime_width}} | " + f"{role:<{role_width}} | " + f"{content_lines[0]:<{content_width}}" + ) + lines.append(first_line) + + # Additional lines for wrapped content (only content column) + for content_line in content_lines[1:]: + lines.append( + f"{'':<{id_width}} | " + f"{'':<{datetime_width}} | " + f"{'':<{role_width}} | " + f"{content_line:<{content_width}}" + ) + else: + lines.append( + f"{memory_id:<{id_width}} | " + f"{datetime_str:<{datetime_width}} | " + f"{role:<{role_width}} | " + f"{'':<{content_width}}" + ) + + return "\n".join(lines) + + +def _extract_chunk_data(item: object) -> Optional[ChunkData]: + """Extracts chunk data from a Goodmem retrieval item. + + Args: + item: The raw NDJSON item from Goodmem. + + Returns: + A ChunkData dict if the structure is valid, otherwise None. + """ + if not isinstance(item, dict): + return None + + retrieved_item = item.get("retrievedItem") + if not isinstance(retrieved_item, dict): + return None + + chunk_wrapper = retrieved_item.get("chunk") + if not isinstance(chunk_wrapper, dict): + return None + + chunk_data = chunk_wrapper.get("chunk") + if not isinstance(chunk_data, dict): + return None + + memory_id = chunk_data.get("memoryId") + chunk_text = chunk_data.get("chunkText") + updated_at = chunk_data.get("updatedAt") + + if not isinstance(memory_id, str) or not isinstance(chunk_text, str): + return None + if updated_at is not None and not isinstance(updated_at, int): + return None + + return { + "memoryId": memory_id, + "chunkText": chunk_text, + "updatedAt": updated_at, + } + + +def _get_client(base_url: str, api_key: str, debug: bool) -> GoodmemClient: + """Get or create a cached GoodmemClient instance. + + Args: + base_url: The base URL for the Goodmem API. + api_key: The API key for authentication. + + Returns: + A cached or new GoodmemClient instance. + """ + cache_key = (base_url, api_key, debug) + client = _client_cache.get(cache_key) + if client is not None: + if debug: + print(f"[DEBUG] Using cached GoodmemClient for {base_url}") + return client + + with _client_cache_lock: + client = _client_cache.get(cache_key) + if client is not None: + if debug: + print(f"[DEBUG] Using cached GoodmemClient for {base_url}") + return client + + if debug: + print( + "[DEBUG] Creating GoodmemClient for base_url=" + f"{base_url}, debug={debug}" + ) + client = GoodmemClient(base_url=base_url, api_key=api_key, debug=debug) + _client_cache[cache_key] = client + return client + + +def _get_or_create_space( + client: GoodmemClient, + tool_context: ToolContext, + embedder_id: Optional[str] = None, +) -> tuple[Optional[str], Optional[str]]: + """Get or create Goodmem space for the current user. + + Returns a tuple of (space_id, error_message). If error_message is not None, + space_id will be None. + + Args: + client: The GoodmemClient instance. + tool_context: The tool context with user_id and session state. + embedder_id: Optional embedder ID to use when creating a new space. + If None, uses the first available embedder. + + Returns: + Tuple of (space_id, error_message). error_message is None on success. + """ + # Check cache first + cached_space_id = tool_context.state.get("_goodmem_space_id") + if cached_space_id: + if _tool_debug: + print( + "[DEBUG] Using cached Goodmem space_id from session state: " + f"{cached_space_id}" + ) + return (cached_space_id, None) + + # Construct space name based on user_id + space_name = f"adk_tool_{tool_context.user_id}" + + try: + # Search for existing space + if _tool_debug: + print(f"[DEBUG] Checking for existing space: {space_name}") + spaces = client.list_spaces(name=space_name) + for space in spaces: + if space.get("name") == space_name: + space_id = space["spaceId"] + # Cache it for future calls + tool_context.state["_goodmem_space_id"] = space_id + if _tool_debug: + print(f"[DEBUG] Found existing space: {space_id}") + return (space_id, None) + + # Space doesn't exist, need to create it + if embedder_id: + # Validate the embedder exists + embedders = client.list_embedders() + embedder_ids = [e["embedderId"] for e in embedders] + + if embedder_id not in embedder_ids: + return ( + None, + ( + f"Configuration error: embedder_id '{embedder_id}' not" + f" found. Available embedders: {', '.join(embedder_ids)}" + ), + ) + else: + # Use first available embedder + embedders = client.list_embedders() + if not embedders: + return (None, "Configuration error: No embedders available in Goodmem.") + embedder_id = embedders[0]["embedderId"] + + # Create the space + if _tool_debug: + print( + "[DEBUG] Creating Goodmem space " + f"{space_name} with embedder_id={embedder_id}" + ) + response = client.create_space(space_name, embedder_id) + space_id = response["spaceId"] + + # Cache it + tool_context.state["_goodmem_space_id"] = space_id + if _tool_debug: + print(f"[DEBUG] Created new Goodmem space: {space_id}") + return (space_id, None) + + except requests.exceptions.HTTPError as e: + status_code = ( + e.response.status_code if hasattr(e, "response") and e.response else None + ) + if status_code == 409: + if _tool_debug: + print( + "[DEBUG] Space already exists; re-fetching space ID after conflict" + ) + try: + spaces = client.list_spaces(name=space_name) + for space in spaces: + if space.get("name") == space_name: + space_id = space["spaceId"] + tool_context.state["_goodmem_space_id"] = space_id + if _tool_debug: + print( + "[DEBUG] Found existing space after conflict: " + f"{space_id}" + ) + return (space_id, None) + except Exception as list_error: + if _tool_debug: + print( + "[DEBUG] Error re-fetching space after conflict: " + f"{list_error}" + ) + if _tool_debug: + print(f"[DEBUG] Error getting or creating space: {e}") + return (None, f"Error getting or creating space: {str(e)}") + + except Exception as e: + if _tool_debug: + print(f"[DEBUG] Error getting or creating space: {e}") + return (None, f"Error getting or creating space: {str(e)}") + + +# ============================================================================ +# SAVE TOOL - Write to Goodmem +# ============================================================================ + + +class GoodmemSaveResponse(BaseModel): + """Response from the goodmem_save tool.""" + + success: bool = Field( + description="Whether the write operation was successful" + ) + memory_id: Optional[str] = Field( + default=None, description="The ID of the created memory in Goodmem" + ) + message: str = Field(description="Status message") + + +async def goodmem_save( + content: str, + tool_context: ToolContext = None, + base_url: Optional[str] = None, + api_key: Optional[str] = None, + embedder_id: Optional[str] = None, +) -> GoodmemSaveResponse: + """Saves important information to persistent memory storage. + + WHEN TO USE: + - User shares preferences, facts, personal information, + important decisions, or anything you believe is important or + worth remembering + - After solving problems or making decisions worth remembering + - Proactively save context that would help in future conversations + - When the user asks you to remember something + + CRITICAL: Always confirm to the user what you saved. Check the 'success' field + in the response - only claim you saved something if success=True. + + METADATA: user_id and session_id are automatically captured from context. + + Args: + content: The text content to write to memory storage (plain text only). + tool_context: The tool execution context (automatically provided by ADK). + base_url: The base URL for the Goodmem API (required). + api_key: The API key for authentication (required). + embedder_id: Optional embedder ID to use when creating new spaces. + + Returns: + A GoodmemSaveResponse containing the operation status and memory ID. + """ + if _tool_debug: + print("[DEBUG] goodmem_save called") + + if not base_url: + return GoodmemSaveResponse( + success=False, + message=( + "Configuration error: base_url is required. Please provide it when" + " initializing GoodmemSaveTool or pass it as a parameter." + ), + ) + + if not api_key: + return GoodmemSaveResponse( + success=False, + message=( + "Configuration error: api_key is required. Please provide it when" + " initializing GoodmemSaveTool or pass it as a parameter." + ), + ) + + if not tool_context: + return GoodmemSaveResponse( + success=False, + message=( + "Configuration error: tool_context is required for automatic space" + " management. This should be provided automatically by ADK." + ), + ) + + try: + # Get cached Goodmem client + client = _get_client(base_url=base_url, api_key=api_key, debug=_tool_debug) + + # Get or create space for this user + space_id, error = _get_or_create_space( + client, tool_context, embedder_id=embedder_id + ) + if error: + if _tool_debug: + print(f"[DEBUG] Failed to get or create space: {error}") + return GoodmemSaveResponse(success=False, message=error) + if space_id is None: + if _tool_debug: + print("[DEBUG] No space_id returned, aborting dump") + return GoodmemSaveResponse( + success=False, message="Failed to get or create space" + ) + + # Build metadata from tool_context + metadata: Dict[str, JsonValue] = {} + + # Add user_id from tool_context if available + if tool_context and hasattr(tool_context, "user_id"): + metadata["user_id"] = tool_context.user_id + + # Add session_id from tool_context if available + if ( + tool_context + and hasattr(tool_context, "session") + and tool_context.session + ): + if hasattr(tool_context.session, "id"): + metadata["session_id"] = tool_context.session.id + + # Insert memory into Goodmem + if _tool_debug: + print(f"[DEBUG] Inserting memory into space {space_id}") + response = client.insert_memory( + space_id=space_id, + content=content, + content_type="text/plain", + metadata=metadata if metadata else None, + ) + + memory_id = response.get("memoryId") + if _tool_debug: + print(f"[DEBUG] Goodmem insert response memory_id={memory_id}") + + return GoodmemSaveResponse( + success=True, + memory_id=memory_id, + message=f"Successfully wrote content to memory. Memory ID: {memory_id}", + ) + + except Exception as e: + import requests + + error_msg = str(e) + + # Determine specific error type + if isinstance(e, requests.exceptions.ConnectionError): + return GoodmemSaveResponse( + success=False, + message=( + f"Connection error: Cannot reach Goodmem server at {base_url}. " + "Please check if the server is running and the URL is correct. " + f"Details: {error_msg}" + ), + ) + elif isinstance(e, requests.exceptions.Timeout): + return GoodmemSaveResponse( + success=False, + message=( + f"Timeout error: Goodmem server at {base_url} is not responding. " + "Please check your connection or server status." + ), + ) + elif isinstance(e, requests.exceptions.HTTPError): + status_code = ( + e.response.status_code if hasattr(e, "response") else "unknown" + ) + if status_code in (401, 403): + return GoodmemSaveResponse( + success=False, + message=( + "Authentication error: Invalid API key. " + "Please check your GOODMEM_API_KEY is correct. " + f"HTTP {status_code}" + ), + ) + elif status_code == 404: + return GoodmemSaveResponse( + success=False, + message=( + f"Not found error: Space ID '{space_id}' does not exist. " + f"The space may have been deleted. HTTP {status_code}" + ), + ) + else: + return GoodmemSaveResponse( + success=False, + message=( + f"Server error: Goodmem API returned HTTP {status_code}. " + f"Details: {error_msg}" + ), + ) + else: + return GoodmemSaveResponse( + success=False, + message=f"Unexpected error while writing to memory: {error_msg}", + ) + + +class GoodmemSaveTool(FunctionTool): + """A tool that writes content to Goodmem storage. + + This tool wraps the goodmem_save function and provides explicit memory + writing capabilities to ADK agents. + """ + + def __init__( + self, + base_url: Optional[str] = None, + api_key: Optional[str] = None, + embedder_id: Optional[str] = None, + debug: bool = False, + ): + """Initialize the Goodmem save tool. + + Args: + base_url: The base URL for the Goodmem API (required). + api_key: The API key for authentication (required). + embedder_id: Optional embedder ID to use when creating new spaces. + debug: Enable debug logging. + """ + self._base_url = base_url + self._api_key = api_key + self._embedder_id = embedder_id + self._debug = debug + global _tool_debug + _tool_debug = debug + + # Create a wrapper function that passes the stored config + # We need to preserve the function signature for FunctionTool introspection + async def _wrapped_save( + content: str, + tool_context: ToolContext = None, + ) -> GoodmemSaveResponse: + return await goodmem_save( + content=content, + tool_context=tool_context, + base_url=self._base_url, + api_key=self._api_key, + embedder_id=self._embedder_id, + ) + + # Preserve function metadata for FunctionTool introspection + # Copy signature from original function (excluding the config params) + original_sig = inspect.signature(goodmem_save) + params = [] + for name, param in original_sig.parameters.items(): + if name not in ("base_url", "api_key", "embedder_id"): + params.append(param) + setattr( + _wrapped_save, + "__signature__", + original_sig.replace(parameters=params), + ) + _wrapped_save.__name__ = goodmem_save.__name__ + _wrapped_save.__doc__ = goodmem_save.__doc__ + + super().__init__(_wrapped_save) + + +# ============================================================================ +# FETCH TOOL - Retrieve from Goodmem +# ============================================================================ + + +class MemoryItem(BaseModel): + """A single memory item retrieved from Goodmem.""" + + memory_id: str = Field(description="The unique ID of the memory") + content: str = Field(description="The text content of the memory") + metadata: Dict[str, JsonValue] = Field( + default_factory=dict, + description=( + "Metadata associated with the memory (user_id, session_id, etc.)" + ), + ) + updated_at: Optional[int] = Field( + default=None, + description="Timestamp when the memory was last updated (milliseconds)", + ) + + +class GoodmemFetchResponse(BaseModel): + """Response from the goodmem_fetch tool.""" + + success: bool = Field( + description="Whether the fetch operation was successful" + ) + memories: List[MemoryItem] = Field( + default_factory=list, description="List of retrieved memories" + ) + count: int = Field(default=0, description="Number of memories retrieved") + message: str = Field(description="Status message") + + +async def goodmem_fetch( + query: str, + top_k: int = 5, + tool_context: ToolContext = None, + base_url: Optional[str] = None, + api_key: Optional[str] = None, + embedder_id: Optional[str] = None, +) -> GoodmemFetchResponse: + """Searches for relevant memories using semantic search. + + CRITICAL: Use this BEFORE saying "I don't know" to any question about the + user! + + WHEN TO USE: + - User asks ANY question about themselves (preferences, history, background, + facts) + - User asks about previous conversations, facts, decisions, or other + important information + - You believe that the user may have had past interactions that are relevant + - User asks you to look for history + + RESPONSE HANDLING: + - When you use retrieved information, explicitly state it came from memory + Example: "According to my memory, you went to school in Texas" + - Present all retrieved memories to help answer the user's question + - You are not required to use all or any of the memories. + + Args: + query: The search query to find relevant memories (e.g., "user's favorite color"). + top_k: Maximum number of chunks to request (default: 5, max: 20). The + response is de-duplicated by memory ID, so fewer memories may be returned. + tool_context: The tool execution context (automatically provided by ADK). + base_url: The base URL for the Goodmem API (required). + api_key: The API key for authentication (required). + embedder_id: Optional embedder ID to use when creating new spaces. + + Returns: + A GoodmemFetchResponse containing the retrieved memories and metadata. + """ + if _tool_debug: + print(f"[DEBUG] goodmem_fetch called query='{query}' top_k={top_k}") + + # top_k validation + if top_k > 20: + top_k = 20 + if top_k < 1: + top_k = 1 + + if not base_url: + return GoodmemFetchResponse( + success=False, + message=( + "Configuration error: base_url is required. Please provide it when" + " initializing GoodmemFetchTool or pass it as a parameter." + ), + ) + + if not api_key: + return GoodmemFetchResponse( + success=False, + message=( + "Configuration error: api_key is required. Please provide it when" + " initializing GoodmemFetchTool or pass it as a parameter." + ), + ) + + if not tool_context: + return GoodmemFetchResponse( + success=False, + message=( + "Configuration error: tool_context is required for automatic space" + " management. This should be provided automatically by ADK." + ), + ) + + try: + # Get cached Goodmem client + client = _get_client(base_url=base_url, api_key=api_key, debug=_tool_debug) + + # Get or create space for this user + space_id, error = _get_or_create_space( + client, tool_context, embedder_id=embedder_id + ) + if error: + if _tool_debug: + print(f"[DEBUG] Failed to get or create space: {error}") + return GoodmemFetchResponse(success=False, message=error) + if space_id is None: + if _tool_debug: + print("[DEBUG] No space_id returned, aborting fetch") + return GoodmemFetchResponse( + success=False, message="Failed to get or create space" + ) + + # Retrieve memories using semantic search + if _tool_debug: + print(f"[DEBUG] Retrieving memories from space {space_id}") + chunks = client.retrieve_memories( + query=query, space_ids=[space_id], request_size=top_k + ) + + if not chunks: + if _tool_debug: + print("[DEBUG] No chunks retrieved from Goodmem") + return GoodmemFetchResponse( + success=True, + memories=[], + count=0, + message="No memories found matching the query", + ) + + # Extract memory IDs to fetch full metadata + memory_ids: set[str] = set() + chunk_data_list: List[ChunkData] = [] + + for item in chunks: + chunk_data = _extract_chunk_data(item) + if not chunk_data: + continue + chunk_data_list.append(chunk_data) + memory_ids.add(chunk_data["memoryId"]) + if _tool_debug: + print( + "[DEBUG] Retrieved " + f"{len(chunk_data_list)} chunks, {len(memory_ids)} unique memory IDs" + ) + + # Fetch full memory metadata for each unique memory ID + memory_metadata_cache: Dict[str, Dict[str, JsonValue]] = {} + for memory_id in memory_ids: + try: + full_memory = client.get_memory_by_id(memory_id) + if full_memory: + memory_metadata_cache[memory_id] = full_memory.get("metadata", {}) + except Exception: + memory_metadata_cache[memory_id] = {} + + # Build response with memories + memories: List[MemoryItem] = [] + seen_memory_ids: set[str] = set() + # Store role information for debug table (before content is cleaned) + memory_roles: Dict[str, str] = {} + + for chunk_data in chunk_data_list: + memory_id = chunk_data.get("memoryId") + if not memory_id or memory_id in seen_memory_ids: + continue + + seen_memory_ids.add(memory_id) + + content = chunk_data.get("chunkText", "") + updated_at = chunk_data.get("updatedAt") + metadata = memory_metadata_cache.get(memory_id, {}) + + # Determine role from content prefix or metadata + role = "user" # default + if content.startswith("User: "): + role = "user" + content = content[6:] + elif content.startswith("LLM: "): + role = "llm" + content = content[5:] + else: + # Try to get role from metadata + role_from_metadata = metadata.get("role", "user") + if isinstance(role_from_metadata, str): + role = role_from_metadata.lower() + else: + role = "user" + + memory_roles[memory_id] = role + + memories.append( + MemoryItem( + memory_id=memory_id, + content=content, + metadata=metadata, + updated_at=updated_at, + ) + ) + + # Format debug table if debug mode is enabled + if _tool_debug and memories: + debug_records: List[DebugRecord] = [] + for memory in memories: + role = memory_roles.get(memory.memory_id, "user") + debug_records.append({ + "memory_id": memory.memory_id, + "timestamp_ms": memory.updated_at, + "role": role, + "content": memory.content, + }) + + table = _format_debug_table(debug_records) + print(f"[DEBUG] Retrieved memories:\n{table}") + + return GoodmemFetchResponse( + success=True, + memories=memories, + count=len(memories), + message=f"Successfully retrieved {len(memories)} memories", + ) + + except Exception as e: + import requests + + error_msg = str(e) + + # Determine specific error type + if isinstance(e, requests.exceptions.ConnectionError): + return GoodmemFetchResponse( + success=False, + message=( + f"Connection error: Cannot reach Goodmem server at {base_url}. " + "Please check if the server is running and the URL is correct. " + f"Details: {error_msg}" + ), + ) + elif isinstance(e, requests.exceptions.Timeout): + return GoodmemFetchResponse( + success=False, + message=( + f"Timeout error: Goodmem server at {base_url} is not responding. " + "Please check your connection or server status." + ), + ) + elif isinstance(e, requests.exceptions.HTTPError): + status_code = ( + e.response.status_code if hasattr(e, "response") else "unknown" + ) + if status_code in (401, 403): + return GoodmemFetchResponse( + success=False, + message=( + "Authentication error: Invalid API key. " + "Please check your GOODMEM_API_KEY is correct. " + f"HTTP {status_code}" + ), + ) + elif status_code == 404: + return GoodmemFetchResponse( + success=False, + message=( + f"Not found error: Space ID '{space_id}' does not exist. " + f"The space may have been deleted. HTTP {status_code}" + ), + ) + else: + return GoodmemFetchResponse( + success=False, + message=( + f"Server error: Goodmem API returned HTTP {status_code}. " + f"Details: {error_msg}" + ), + ) + else: + return GoodmemFetchResponse( + success=False, + message=f"Unexpected error while fetching memories: {error_msg}", + ) + + +class GoodmemFetchTool(FunctionTool): + """A tool that fetches memories from Goodmem storage. + + This tool wraps the goodmem_fetch function and provides semantic search + capabilities to ADK agents. + """ + + def __init__( + self, + base_url: Optional[str] = None, + api_key: Optional[str] = None, + embedder_id: Optional[str] = None, + top_k: int = 5, + debug: bool = False, + ): + """Initialize the Goodmem fetch tool. + + Args: + base_url: The base URL for the Goodmem API (required). + api_key: The API key for authentication (required). + embedder_id: Optional embedder ID to use when creating new spaces. + top_k: Default number of memories to retrieve (default: 5, max: 20). + debug: Enable debug logging. + """ + self._base_url = base_url + self._api_key = api_key + self._embedder_id = embedder_id + self._top_k = top_k + self._debug = debug + global _tool_debug + _tool_debug = debug + + # Create a wrapper function that uses instance top_k as default + # We need a wrapper because top_k needs to use self._top_k as default + async def _wrapped_fetch( + query: str, + top_k: Optional[int] = None, + tool_context: ToolContext = None, + ) -> GoodmemFetchResponse: + # Use instance top_k if not provided + if top_k is None: + top_k = self._top_k + return await goodmem_fetch( + query=query, + top_k=top_k, + tool_context=tool_context, + base_url=self._base_url, + api_key=self._api_key, + embedder_id=self._embedder_id, + ) + + # Preserve function metadata for FunctionTool introspection + # Copy signature from original function (excluding the config params) + original_sig = inspect.signature(goodmem_fetch) + params = [] + for name, param in original_sig.parameters.items(): + if name not in ("base_url", "api_key", "embedder_id"): + # Update top_k default to use instance default + if name == "top_k": + params.append(param.replace(default=self._top_k)) + else: + params.append(param) + setattr( + _wrapped_fetch, + "__signature__", + original_sig.replace(parameters=params), + ) + _wrapped_fetch.__name__ = goodmem_fetch.__name__ + _wrapped_fetch.__doc__ = goodmem_fetch.__doc__ + + super().__init__(_wrapped_fetch) + + +# ============================================================================ +# Singleton instances (following Google ADK pattern) +# ============================================================================ +# Note: These singleton instances require configuration to be passed when +# creating tool instances. See agent.py examples for usage. diff --git a/tests/unittests/plugins/__init__.py b/tests/unittests/plugins/__init__.py new file mode 100644 index 0000000..56425f7 --- /dev/null +++ b/tests/unittests/plugins/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/tests/unittests/plugins/test_goodmem_plugin.py b/tests/unittests/plugins/test_goodmem_plugin.py new file mode 100644 index 0000000..6da22c8 --- /dev/null +++ b/tests/unittests/plugins/test_goodmem_plugin.py @@ -0,0 +1,1215 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json +from unittest.mock import AsyncMock, MagicMock, call, patch + +import pytest +from google.genai import types + +from google.adk_community.plugins.goodmem.goodmem_client import GoodmemClient +from google.adk_community.plugins.goodmem.goodmem_plugin import GoodmemChatPlugin + + +# Mock constants +MOCK_BASE_URL = "https://api.goodmem.ai" +MOCK_API_KEY = "test-api-key" +MOCK_EMBEDDER_ID = "test-embedder-id" +MOCK_SPACE_ID = "test-space-id" +MOCK_SPACE_NAME = "adk_chat_test_user" +MOCK_USER_ID = "test_user" +MOCK_SESSION_ID = "test_session" +MOCK_MEMORY_ID = "test-memory-id" + + +class TestGoodmemClient: + """Tests for GoodmemClient.""" + + + @pytest.fixture + def mock_requests(self) -> MagicMock: + """Mock requests library for testing.""" + with patch('google.adk_community.plugins.goodmem.goodmem_client.requests') as mock_req: + yield mock_req + + @pytest.fixture + def goodmem_client(self) -> GoodmemClient: + """Create GoodmemClient instance for testing.""" + return GoodmemClient(base_url=MOCK_BASE_URL, api_key=MOCK_API_KEY) + + def test_client_initialization(self, goodmem_client: GoodmemClient) -> None: + """Test client initialization.""" + assert goodmem_client._base_url == MOCK_BASE_URL + assert goodmem_client._api_key == MOCK_API_KEY + assert goodmem_client._headers["x-api-key"] == MOCK_API_KEY + assert goodmem_client._headers["Content-Type"] == "application/json" + + def test_create_space(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + """Test creating a new space.""" + mock_response = MagicMock() + mock_response.json.return_value = {"spaceId": MOCK_SPACE_ID} + mock_response.raise_for_status = MagicMock() + mock_requests.post.return_value = mock_response + + result = goodmem_client.create_space(MOCK_SPACE_NAME, MOCK_EMBEDDER_ID) + + assert result["spaceId"] == MOCK_SPACE_ID + mock_requests.post.assert_called_once() + call_args = mock_requests.post.call_args + assert call_args.args[0] == f"{MOCK_BASE_URL}/v1/spaces" + assert call_args.kwargs["json"]["name"] == MOCK_SPACE_NAME + assert call_args.kwargs["json"]["spaceEmbedders"][0]["embedderId"] == MOCK_EMBEDDER_ID + + def test_insert_memory(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + """Test inserting a text memory.""" + mock_response = MagicMock() + mock_response.json.return_value = { + "memoryId": MOCK_MEMORY_ID, + "processingStatus": "COMPLETED" + } + mock_response.raise_for_status = MagicMock() + mock_requests.post.return_value = mock_response + + content = "Test memory content" + metadata = {"session_id": MOCK_SESSION_ID, "user_id": MOCK_USER_ID} + result = goodmem_client.insert_memory( + MOCK_SPACE_ID, content, "text/plain", metadata + ) + + assert result["memoryId"] == MOCK_MEMORY_ID + mock_requests.post.assert_called_once() + call_args = mock_requests.post.call_args + assert call_args.args[0] == f"{MOCK_BASE_URL}/v1/memories" + assert call_args.kwargs["json"]["spaceId"] == MOCK_SPACE_ID + assert call_args.kwargs["json"]["originalContent"] == content + assert call_args.kwargs["json"]["metadata"] == metadata + + def test_insert_memory_binary(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + """Test inserting a binary memory using multipart upload.""" + mock_response = MagicMock() + mock_response.json.return_value = { + "memoryId": MOCK_MEMORY_ID, + "processingStatus": "COMPLETED" + } + mock_response.raise_for_status = MagicMock() + mock_requests.post.return_value = mock_response + + file_bytes = b"test file content" + metadata = {"filename": "test.pdf", "user_id": MOCK_USER_ID} + + result = goodmem_client.insert_memory_binary( + MOCK_SPACE_ID, file_bytes, "application/pdf", metadata + ) + + assert result["memoryId"] == MOCK_MEMORY_ID + mock_requests.post.assert_called_once() + call_args = mock_requests.post.call_args + + # Verify multipart form data was used + assert "data" in call_args.kwargs + assert "files" in call_args.kwargs + data = call_args.kwargs["data"] + files = call_args.kwargs["files"] + + # Check request metadata (in data parameter) + assert "request" in data + request_json = json.loads(data["request"]) + assert request_json["spaceId"] == MOCK_SPACE_ID + assert request_json["contentType"] == "application/pdf" + assert request_json["metadata"] == metadata + + # Check file content (in files parameter) + assert "file" in files + assert files["file"][1] == file_bytes + assert files["file"][2] == "application/pdf" + + def test_retrieve_memories(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + """Test retrieving memories.""" + mock_response = MagicMock() + # Simulate NDJSON response + ndjson_lines = [ + json.dumps({"retrievedItem": {"chunk": {"chunk": {"chunkText": "chunk 1", "memoryId": "mem1"}}}}), + json.dumps({"status": "complete"}), + json.dumps({"retrievedItem": {"chunk": {"chunk": {"chunkText": "chunk 2", "memoryId": "mem2"}}}}) + ] + mock_response.text = "\n".join(ndjson_lines) + mock_response.raise_for_status = MagicMock() + mock_requests.post.return_value = mock_response + + query = "test query" + space_ids = [MOCK_SPACE_ID] + result = goodmem_client.retrieve_memories(query, space_ids, request_size=5) + + assert len(result) == 2 # Only items with retrievedItem + assert result[0]["retrievedItem"]["chunk"]["chunk"]["chunkText"] == "chunk 1" + mock_requests.post.assert_called_once() + call_args = mock_requests.post.call_args + assert call_args.kwargs["json"]["message"] == query + assert call_args.kwargs["json"]["requestedSize"] == 5 + + def test_list_spaces(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + """Test getting all spaces.""" + mock_response = MagicMock() + mock_response.json.return_value = { + "spaces": [ + {"spaceId": "space1", "name": "Space 1"}, + {"spaceId": "space2", "name": "Space 2"} + ] + } + mock_response.raise_for_status = MagicMock() + mock_requests.get.return_value = mock_response + + result = goodmem_client.list_spaces() + + assert len(result) == 2 + assert result[0]["name"] == "Space 1" + mock_requests.get.assert_called_once_with( + f"{MOCK_BASE_URL}/v1/spaces", + headers=goodmem_client._headers, + params={"maxResults": 1000}, + timeout=30 + ) + + def test_list_spaces_with_name_filter( + self, goodmem_client: GoodmemClient, mock_requests: MagicMock + ) -> None: + """Test filtering spaces by name.""" + mock_response = MagicMock() + mock_response.json.return_value = { + "spaces": [ + {"spaceId": "space1", "name": "adk_chat_test_user"} + ] + } + mock_response.raise_for_status = MagicMock() + mock_requests.get.return_value = mock_response + + result = goodmem_client.list_spaces(name=MOCK_SPACE_NAME) + + assert len(result) == 1 + assert result[0]["name"] == "adk_chat_test_user" + mock_requests.get.assert_called_once_with( + f"{MOCK_BASE_URL}/v1/spaces", + headers=goodmem_client._headers, + params={"maxResults": 1000, "nameFilter": MOCK_SPACE_NAME}, + timeout=30 + ) + + def test_list_embedders(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + """Test listing embedders.""" + mock_response = MagicMock() + mock_response.json.return_value = { + "embedders": [ + {"embedderId": "emb1", "name": "Embedder 1"}, + {"embedderId": "emb2", "name": "Embedder 2"} + ] + } + mock_response.raise_for_status = MagicMock() + mock_requests.get.return_value = mock_response + + result = goodmem_client.list_embedders() + + assert len(result) == 2 + assert result[0]["embedderId"] == "emb1" + mock_requests.get.assert_called_once_with( + f"{MOCK_BASE_URL}/v1/embedders", + headers=goodmem_client._headers, + timeout=30 + ) + + def test_get_memory_by_id(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + """Test getting a memory by ID.""" + mock_response = MagicMock() + mock_response.json.return_value = { + "memoryId": MOCK_MEMORY_ID, + "metadata": {"user_id": MOCK_USER_ID} + } + mock_response.raise_for_status = MagicMock() + mock_requests.get.return_value = mock_response + + result = goodmem_client.get_memory_by_id(MOCK_MEMORY_ID) + + assert result["memoryId"] == MOCK_MEMORY_ID + assert result["metadata"]["user_id"] == MOCK_USER_ID + from urllib.parse import quote + encoded_memory_id = quote(MOCK_MEMORY_ID, safe='') + mock_requests.get.assert_called_once_with( + f"{MOCK_BASE_URL}/v1/memories/{encoded_memory_id}", + headers=goodmem_client._headers, + timeout=30 + ) + + +class TestGoodmemChatPlugin: + """Tests for GoodmemChatPlugin.""" + + + @pytest.fixture + def mock_goodmem_client(self) -> MagicMock: + """Mock GoodmemClient for testing.""" + with patch('google.adk_community.plugins.goodmem.goodmem_plugin.GoodmemClient') as mock_client_class: + mock_client = MagicMock() + + # Mock list_embedders + mock_client.list_embedders.return_value = [ + {"embedderId": MOCK_EMBEDDER_ID, "name": "Test Embedder"} + ] + + # Mock list_spaces + mock_client.list_spaces.return_value = [] + + # Mock create_space + mock_client.create_space.return_value = {"spaceId": MOCK_SPACE_ID} + + # Mock insert_memory + mock_client.insert_memory.return_value = { + "memoryId": MOCK_MEMORY_ID, + "processingStatus": "COMPLETED" + } + + # Mock insert_memory_binary + mock_client.insert_memory_binary.return_value = { + "memoryId": MOCK_MEMORY_ID, + "processingStatus": "COMPLETED" + } + + # Mock retrieve_memories + mock_client.retrieve_memories.return_value = [] + + # Mock get_memory_by_id + mock_client.get_memory_by_id.return_value = { + "memoryId": MOCK_MEMORY_ID, + "metadata": {"user_id": MOCK_USER_ID, "role": "user"} + } + + mock_client_class.return_value = mock_client + yield mock_client + + @pytest.fixture + def chat_plugin(self, mock_goodmem_client: MagicMock) -> GoodmemChatPlugin: + """Create GoodmemChatPlugin instance for testing.""" + return GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + top_k=5, + debug=False + ) + + def test_plugin_initialization(self, chat_plugin: GoodmemChatPlugin) -> None: + """Test plugin initialization.""" + assert chat_plugin.name == "GoodmemChatPlugin" + assert chat_plugin.embedder_id == MOCK_EMBEDDER_ID + assert chat_plugin.top_k == 5 + assert chat_plugin.debug is False + + def test_plugin_initialization_no_embedder_id(self, mock_goodmem_client: MagicMock) -> None: + """Test plugin initialization without embedder_id.""" + plugin = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + top_k=5 + ) + # Should use first embedder from API + assert plugin.embedder_id == MOCK_EMBEDDER_ID + + def test_plugin_initialization_no_embedders_fails(self, mock_goodmem_client: MagicMock) -> None: + """Test plugin initialization fails when no embedders available.""" + mock_goodmem_client.list_embedders.return_value = [] + + with pytest.raises(ValueError, match="No embedders available"): + GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY + ) + + def test_plugin_initialization_invalid_embedder_fails(self, mock_goodmem_client: MagicMock) -> None: + """Test plugin initialization fails with invalid embedder_id.""" + with pytest.raises(ValueError, match="is not valid"): + GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id="invalid-embedder-id" + ) + + def test_plugin_initialization_requires_base_url(self) -> None: + """Test plugin initialization requires base_url.""" + with pytest.raises(ValueError): + GoodmemChatPlugin( + base_url=None, + api_key=MOCK_API_KEY + ) + + def test_plugin_initialization_requires_api_key(self) -> None: + """Test plugin initialization requires api_key.""" + with pytest.raises(ValueError): + GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=None + ) + + @pytest.mark.asyncio + async def test_ensure_chat_space_creates_new_space(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test _get_space_id creates a new space when it doesn't exist.""" + mock_goodmem_client.list_spaces.return_value = [] + + # Create mock context with session state + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.state = {} + + space_id = chat_plugin._get_space_id(mock_context) + + mock_goodmem_client.list_spaces.assert_called_once_with( + name=MOCK_SPACE_NAME + ) + mock_goodmem_client.create_space.assert_called_once_with( + MOCK_SPACE_NAME, MOCK_EMBEDDER_ID + ) + assert space_id == MOCK_SPACE_ID + assert mock_context.state['_goodmem_space_id'] == MOCK_SPACE_ID + + @pytest.mark.asyncio + async def test_ensure_chat_space_uses_existing_space(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test _get_space_id uses existing space when found.""" + mock_goodmem_client.list_spaces.return_value = [ + {"spaceId": "existing-space-id", "name": MOCK_SPACE_NAME} + ] + + # Create mock context with session state + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.state = {} + + space_id = chat_plugin._get_space_id(mock_context) + + mock_goodmem_client.list_spaces.assert_called_once_with( + name=MOCK_SPACE_NAME + ) + mock_goodmem_client.create_space.assert_not_called() + assert space_id == "existing-space-id" + assert mock_context.state['_goodmem_space_id'] == "existing-space-id" + + @pytest.mark.asyncio + async def test_ensure_chat_space_skips_case_mismatch( + self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock + ) -> None: + """Test _get_space_id prefers exact name match over case-insensitive match.""" + mock_goodmem_client.list_spaces.return_value = [ + {"spaceId": "case-mismatch-id", "name": MOCK_SPACE_NAME.upper()}, + {"spaceId": "exact-match-id", "name": MOCK_SPACE_NAME}, + ] + + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.state = {} + + space_id = chat_plugin._get_space_id(mock_context) + + mock_goodmem_client.list_spaces.assert_called_once_with( + name=MOCK_SPACE_NAME + ) + mock_goodmem_client.create_space.assert_not_called() + assert space_id == "exact-match-id" + assert mock_context.state['_goodmem_space_id'] == "exact-match-id" + + @pytest.mark.asyncio + async def test_ensure_chat_space_uses_cache(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test _get_space_id uses session state cache.""" + # Create mock context with cached space_id in session state + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.state = {'_goodmem_space_id': 'cached-space-id'} + + space_id = chat_plugin._get_space_id(mock_context) + + mock_goodmem_client.list_spaces.assert_not_called() + mock_goodmem_client.create_space.assert_not_called() + assert space_id == "cached-space-id" + + @pytest.mark.asyncio + async def test_on_user_message_logs_text(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test on_user_message_callback logs text messages.""" + # Create mock invocation context with session state + # Use a real dict object, not a MagicMock, for state + state_dict = {'_goodmem_space_id': MOCK_SPACE_ID} + + # Create a simple object for session with real dict state + class MockSession: + id = MOCK_SESSION_ID + state = state_dict + + # Use spec_set to prevent MagicMock from having a 'state' attribute + mock_context = MagicMock(spec=['user_id', 'session']) + mock_context.user_id = MOCK_USER_ID + mock_context.session = MockSession() + + # Create user message with text + user_message = types.Content( + role="user", + parts=[types.Part(text="Hello, how are you?")] + ) + + await chat_plugin.on_user_message_callback( + invocation_context=mock_context, + user_message=user_message + ) + + # Verify memory was inserted + mock_goodmem_client.insert_memory.assert_called_once() + call_args = mock_goodmem_client.insert_memory.call_args + # Check positional args + assert MOCK_SPACE_ID in str(call_args) + assert "User: Hello, how are you?" in str(call_args) + # Check if metadata was passed (could be positional or keyword arg) + if len(call_args.args) >= 4: + metadata = call_args.args[3] + else: + metadata = call_args.kwargs.get('metadata') + assert metadata["user_id"] == MOCK_USER_ID + assert metadata["role"] == "user" + + @pytest.mark.asyncio + async def test_on_user_message_logs_file_attachment(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test on_user_message_callback logs file attachments.""" + # Use a real dict object, not a MagicMock, for state + state_dict = {'_goodmem_space_id': MOCK_SPACE_ID} + + # Create a simple object for session with real dict state + class MockSession: + id = MOCK_SESSION_ID + state = state_dict + + # Use spec_set to prevent MagicMock from having a 'state' attribute + mock_context = MagicMock(spec=['user_id', 'session']) + mock_context.user_id = MOCK_USER_ID + mock_context.session = MockSession() + + # Create user message with file attachment + file_data = b"test file content" + blob = types.Blob(data=file_data, mime_type="application/pdf") + blob.display_name = "test.pdf" + user_message = types.Content( + role="user", + parts=[types.Part(inline_data=blob)] + ) + + await chat_plugin.on_user_message_callback( + invocation_context=mock_context, + user_message=user_message + ) + + # Verify binary memory was inserted + mock_goodmem_client.insert_memory_binary.assert_called_once() + call_args = mock_goodmem_client.insert_memory_binary.call_args + # Check arguments (could be positional or keyword) + assert MOCK_SPACE_ID in str(call_args) + assert "application/pdf" in str(call_args) + if len(call_args.args) >= 4: + metadata = call_args.args[3] + else: + metadata = call_args.kwargs.get('metadata') + assert metadata["filename"] == "test.pdf" + + @pytest.mark.asyncio + async def test_on_user_message_filters_unsupported_mime_types(self, mock_goodmem_client: MagicMock) -> None: + """Test on_user_message_callback only sends supported MIME types to Goodmem. + + Note: Files are NOT filtered for the LLM - all files pass through. Only Goodmem + storage is filtered. LLM errors must be handled at the application level. + """ + plugin = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID + ) + + # Use a real dict object, not a MagicMock, for state + state_dict = {'_goodmem_space_id': MOCK_SPACE_ID} + + class MockSession: + id = MOCK_SESSION_ID + state = state_dict + + mock_context = MagicMock(spec=['user_id', 'session']) + mock_context.user_id = MOCK_USER_ID + mock_context.session = MockSession() + + # Create user message with unsupported image file + image_data = b"fake image data" + image_blob = types.Blob(data=image_data, mime_type="image/png") + image_blob.display_name = "test.png" + + # Create user message with supported PDF file + pdf_data = b"fake pdf data" + pdf_blob = types.Blob(data=pdf_data, mime_type="application/pdf") + pdf_blob.display_name = "test.pdf" + + # Create user message with unsupported video file + video_data = b"fake video data" + video_blob = types.Blob(data=video_data, mime_type="video/mp4") + video_blob.display_name = "test.mp4" + + # Create user message with supported text file + text_data = b"fake text data" + text_blob = types.Blob(data=text_data, mime_type="text/plain") + text_blob.display_name = "test.txt" + + # Create user message with supported JSON file + json_data = b'{"key": "value"}' + json_blob = types.Blob(data=json_data, mime_type="application/json") + json_blob.display_name = "test.json" + + user_message = types.Content( + role="user", + parts=[ + types.Part(inline_data=image_blob), + types.Part(inline_data=pdf_blob), + types.Part(inline_data=video_blob), + types.Part(inline_data=text_blob), + types.Part(inline_data=json_blob) + ] + ) + + result = await plugin.on_user_message_callback( + invocation_context=mock_context, + user_message=user_message + ) + + # Verify only supported files (PDF, text, JSON) were inserted to Goodmem + assert mock_goodmem_client.insert_memory_binary.call_count == 3 + call_args_list = mock_goodmem_client.insert_memory_binary.call_args_list + # Check that supported types were inserted + assert any("application/pdf" in str(call) for call in call_args_list) + assert any("text/plain" in str(call) for call in call_args_list) + assert any("application/json" in str(call) for call in call_args_list) + # Check that unsupported types were not inserted to Goodmem + assert not any("image/png" in str(call) for call in call_args_list) + assert not any("video/mp4" in str(call) for call in call_args_list) + + # Verify that the callback returns None (no filtering for LLM - all files pass through) + assert result is None + + @pytest.mark.asyncio + async def test_on_user_message_error_handling(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test on_user_message_callback error handling.""" + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + + mock_goodmem_client.insert_memory.side_effect = Exception("API Error") + + user_message = types.Content( + role="user", + parts=[types.Part(text="Test message")] + ) + + # Should not raise exception + result = await chat_plugin.on_user_message_callback( + invocation_context=mock_context, + user_message=user_message + ) + + assert result is None + + def test_is_mime_type_supported(self, mock_goodmem_client: MagicMock) -> None: + """Test _is_mime_type_supported method with various MIME types.""" + plugin = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID + ) + + # Test supported text/* types + assert plugin._is_mime_type_supported("text/plain") is True + assert plugin._is_mime_type_supported("text/html") is True + assert plugin._is_mime_type_supported("text/markdown") is True + assert plugin._is_mime_type_supported("text/csv") is True + + # Test supported application types + assert plugin._is_mime_type_supported("application/pdf") is True + assert plugin._is_mime_type_supported("application/rtf") is True + assert plugin._is_mime_type_supported("application/msword") is True + assert plugin._is_mime_type_supported( + "application/vnd.openxmlformats-officedocument.wordprocessingml.document" + ) is True + + # Test XML-based formats (contains "+xml") + assert plugin._is_mime_type_supported("application/xhtml+xml") is True + assert plugin._is_mime_type_supported("application/atom+xml") is True + + # Test JSON formats + assert plugin._is_mime_type_supported("application/json") is True + assert plugin._is_mime_type_supported("application/vnd.api+json") is True + + # Test unsupported types + assert plugin._is_mime_type_supported("image/png") is False + assert plugin._is_mime_type_supported("image/jpeg") is False + assert plugin._is_mime_type_supported("video/mp4") is False + assert plugin._is_mime_type_supported("audio/mpeg") is False + assert plugin._is_mime_type_supported("application/zip") is False + assert plugin._is_mime_type_supported("application/octet-stream") is False + + # Test edge cases + assert plugin._is_mime_type_supported("") is False + # Note: None would cause AttributeError on .lower(), but in practice mime_type + # comes from blob.mime_type which is always a string or defaults to "application/octet-stream" + + def test_extract_user_content(self, chat_plugin: GoodmemChatPlugin) -> None: + """Test _extract_user_content extracts text from LLM request.""" + # Create mock LLM request with actual types.Part + mock_request = MagicMock() + mock_request.contents = [ + types.Content(role="user", parts=[types.Part(text="User query text")]) + ] + + result = chat_plugin._extract_user_content(mock_request) + + assert result == "User query text" + + def test_format_timestamp(self, chat_plugin: GoodmemChatPlugin) -> None: + """Test _format_timestamp formats millisecond timestamps.""" + # Test timestamp: 2026-01-18T00:00:00 UTC (1768694400 seconds) + timestamp_ms = 1768694400000 + + result = chat_plugin._format_timestamp(timestamp_ms) + + assert result == "2026-01-18T00:00:00Z" + + def test_format_chunk_context(self, chat_plugin: GoodmemChatPlugin) -> None: + """Test _format_chunk_context formats chunks with metadata.""" + chunk_content = "User: Hello there" + memory_id = "mem-123" + timestamp_ms = 1768694400000 + metadata = {"role": "user", "filename": "test.pdf"} + + result = chat_plugin._format_chunk_context( + chunk_content, memory_id, timestamp_ms, metadata + ) + + assert "- id: mem-123" in result + assert "datetime_utc: 2026-01-18T00:00:00Z" in result + assert "role: user" in result + assert "filename: test.pdf" in result + assert "Hello there" in result # Prefix should be removed + + @pytest.mark.asyncio + async def test_before_model_callback_augments_request(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test before_model_callback augments LLM request with memory.""" + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + + # Mock retrieve_memories to return chunks + mock_goodmem_client.retrieve_memories.return_value = [ + { + "retrievedItem": { + "chunk": { + "chunk": { + "chunkId": "chunk1", + "memoryId": "mem1", + "chunkText": "User: Previous conversation", + "updatedAt": 1768694400000 + } + } + } + } + ] + + mock_goodmem_client.get_memory_by_id.return_value = { + "memoryId": "mem1", + "metadata": {"role": "user"} + } + + # Create LLM request + mock_request = MagicMock() + mock_part = MagicMock() + mock_part.text = "Current user query" + mock_content = MagicMock() + mock_content.parts = [mock_part] + mock_request.contents = [mock_content] + + result = await chat_plugin.before_model_callback( + callback_context=mock_context, + llm_request=mock_request + ) + + # Verify request was augmented + assert "BEGIN MEMORY" in mock_part.text + assert "END MEMORY" in mock_part.text + assert "Previous conversation" in mock_part.text + assert result is None + + @pytest.mark.asyncio + async def test_before_model_callback_no_chunks(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test before_model_callback when no chunks are retrieved.""" + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + + mock_goodmem_client.retrieve_memories.return_value = [] + + mock_request = MagicMock() + mock_part = MagicMock() + mock_part.text = "Current user query" + mock_content = MagicMock() + mock_content.parts = [mock_part] + mock_request.contents = [mock_content] + + result = await chat_plugin.before_model_callback( + callback_context=mock_context, + llm_request=mock_request + ) + + # When no chunks retrieved, return early without modifying the request + assert "BEGIN MEMORY" not in mock_part.text + assert "END MEMORY" not in mock_part.text + assert mock_part.text == "Current user query" # Unchanged + assert result is None + + @pytest.mark.asyncio + async def test_before_model_callback_no_user_content( + self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock + ) -> None: + """Test before_model_callback when request has no extractable user text.""" + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.state = {"_goodmem_space_id": MOCK_SPACE_ID} + + # Request with empty parts / no text - _extract_user_content returns "" + mock_request = MagicMock() + mock_request.contents = [] # No contents + + result = await chat_plugin.before_model_callback( + callback_context=mock_context, + llm_request=mock_request, + ) + + # Should return early without calling retrieve_memories + mock_goodmem_client.retrieve_memories.assert_not_called() + assert result is None + + @pytest.mark.asyncio + async def test_before_model_callback_error_handling(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test before_model_callback error handling.""" + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.state = {'_goodmem_space_id': MOCK_SPACE_ID} + + mock_goodmem_client.retrieve_memories.side_effect = Exception("API Error") + + mock_request = MagicMock() + mock_content = MagicMock() + mock_content.parts = [types.Part(text="Test")] + mock_request.contents = [mock_content] + + # Should not raise exception + result = await chat_plugin.before_model_callback( + callback_context=mock_context, + llm_request=mock_request + ) + + assert result is None + + @pytest.mark.asyncio + async def test_after_model_callback_logs_response(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test after_model_callback logs LLM response.""" + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.session = MagicMock() + mock_context.session.id = MOCK_SESSION_ID + mock_context.state = {'_goodmem_space_id': MOCK_SPACE_ID} + + # Create LLM response + mock_response = MagicMock() + mock_content = MagicMock() + mock_content.text = "This is the LLM response" + mock_response.content = mock_content + + await chat_plugin.after_model_callback( + callback_context=mock_context, + llm_response=mock_response + ) + + # Verify memory was inserted + mock_goodmem_client.insert_memory.assert_called() + call_args = mock_goodmem_client.insert_memory.call_args + # Check that the call contains expected values + assert MOCK_SPACE_ID in str(call_args) + assert "LLM: This is the LLM response" in str(call_args) + # Check metadata (could be positional or keyword arg) + if len(call_args.args) >= 4: + metadata = call_args.args[3] + else: + metadata = call_args.kwargs.get('metadata') + assert metadata["role"] == "LLM" + + @pytest.mark.asyncio + async def test_after_model_callback_no_space_id(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test after_model_callback when no space_id is cached in session state.""" + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.session = MagicMock() + mock_context.session.id = MOCK_SESSION_ID + mock_context.state = {} # Empty session state, no cached space_id + + # Mock existing space so _get_space_id will find it + mock_goodmem_client.list_spaces.return_value = [ + {"name": MOCK_SPACE_NAME, "spaceId": MOCK_SPACE_ID} + ] + + mock_response = MagicMock() + mock_response.content = MagicMock() + mock_response.content.text = "Test response" + + result = await chat_plugin.after_model_callback( + callback_context=mock_context, + llm_response=mock_response + ) + + mock_goodmem_client.list_spaces.assert_called_once_with( + name=MOCK_SPACE_NAME + ) + # With the fix, _ensure_chat_space is called and space_id is set + # So insert_memory SHOULD be called + assert mock_goodmem_client.insert_memory.called + assert result is None + + @pytest.mark.asyncio + async def test_after_model_callback_error_handling(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test after_model_callback error handling.""" + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.session = MagicMock() + mock_context.session.id = MOCK_SESSION_ID + mock_context.state = {'_goodmem_space_id': MOCK_SPACE_ID} + + mock_goodmem_client.insert_memory.side_effect = Exception("API Error") + + mock_response = MagicMock() + mock_content = MagicMock() + mock_content.text = "Response text" + mock_response.content = mock_content + + # Should not raise exception + result = await chat_plugin.after_model_callback( + callback_context=mock_context, + llm_response=mock_response + ) + + assert result is None + + @pytest.mark.asyncio + async def test_plugin_with_debug_mode(self, mock_goodmem_client: MagicMock) -> None: + """Test plugin with debug mode enabled.""" + plugin = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + debug=True + ) + + assert plugin.debug is True + + @pytest.mark.asyncio + async def test_full_conversation_flow(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: + """Test full conversation flow with user message, retrieval, and response logging.""" + shared_state = {} # Shared state dict for both invocation and callback contexts + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.session = MagicMock() + mock_context.session.id = MOCK_SESSION_ID + mock_context.session.state = shared_state # For invocation_context access + mock_context.state = shared_state # For callback_context access + + # 1. User sends a message + user_message = types.Content( + role="user", + parts=[types.Part(text="What's the weather?")] + ) + + await chat_plugin.on_user_message_callback( + invocation_context=mock_context, + user_message=user_message + ) + + # Verify user message was logged + assert mock_goodmem_client.insert_memory.called + + # 2. Before model is called, retrieve context + mock_goodmem_client.retrieve_memories.return_value = [ + { + "retrievedItem": { + "chunk": { + "chunk": { + "memoryId": "mem1", + "chunkText": "User: I'm in San Francisco", + "updatedAt": 1768694400000 + } + } + } + } + ] + + mock_request = MagicMock() + mock_part = MagicMock() + mock_part.text = "What's the weather?" + mock_content = MagicMock() + mock_content.parts = [mock_part] + mock_request.contents = [mock_content] + + await chat_plugin.before_model_callback( + callback_context=mock_context, + llm_request=mock_request + ) + + # Verify request was augmented with context + assert "BEGIN MEMORY" in mock_part.text + + # 3. After model responds, log the response + mock_response = MagicMock() + mock_response_content = MagicMock() + mock_response_content.text = "It's sunny in San Francisco" + mock_response.content = mock_response_content + + await chat_plugin.after_model_callback( + callback_context=mock_context, + llm_response=mock_response + ) + + # Verify LLM response was logged + insert_calls = [call for call in mock_goodmem_client.insert_memory.call_args_list] + assert len(insert_calls) >= 2 # At least user message and LLM response + + @pytest.mark.asyncio + async def test_multi_user_isolation(self, mock_goodmem_client: MagicMock) -> None: + """Test that multiple users don't leak data to each other.""" + plugin = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID + ) + + # Mock spaces for two different users + def list_spaces_side_effect(*, name=None, **kwargs): + if name == "adk_chat_alice": + return [{"name": "adk_chat_alice", "spaceId": "space_alice"}] + if name == "adk_chat_bob": + return [{"name": "adk_chat_bob", "spaceId": "space_bob"}] + return [] + + mock_goodmem_client.list_spaces.side_effect = list_spaces_side_effect + + # Context for User Alice + alice_context = MagicMock() + alice_context.user_id = "alice" + alice_context.session = MagicMock() + alice_context.session.id = "session_alice" + alice_context.state = {} # Separate session state for Alice + + # Context for User Bob + bob_context = MagicMock() + bob_context.user_id = "bob" + bob_context.session = MagicMock() + bob_context.session.id = "session_bob" + bob_context.state = {} # Separate session state for Bob + + # Alice's response + alice_response = MagicMock() + alice_response.content = MagicMock() + alice_response.content.text = "Alice's secret data" + + # Bob's response + bob_response = MagicMock() + bob_response.content = MagicMock() + bob_response.content.text = "Bob's secret data" + + # Log Alice's response + await plugin.after_model_callback( + callback_context=alice_context, + llm_response=alice_response + ) + + # Verify Alice's data went to Alice's space + calls = mock_goodmem_client.insert_memory.call_args_list + assert calls[-1][0][0] == "space_alice" # First arg is space_id + assert "Alice's secret data" in calls[-1][0][1] # Second arg is content + + # Log Bob's response + await plugin.after_model_callback( + callback_context=bob_context, + llm_response=bob_response + ) + + # Verify Bob's data went to Bob's space (NOT Alice's!) + calls = mock_goodmem_client.insert_memory.call_args_list + assert calls[-1][0][0] == "space_bob" # NOT "space_alice" + assert "Bob's secret data" in calls[-1][0][1] + assert mock_goodmem_client.list_spaces.call_args_list == [ + call(name="adk_chat_alice"), + call(name="adk_chat_bob"), + ] + + @pytest.mark.asyncio + async def test_debug_mode_empty_retrieval_consistency(self, mock_goodmem_client: MagicMock) -> None: + """Test that debug mode doesn't alter behavior when retrieval is empty.""" + + # Test with debug=False + plugin_no_debug = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + debug=False + ) + + # Test with debug=True + plugin_debug = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + debug=True + ) + + # Mock empty retrieval + mock_goodmem_client.retrieve_memories.return_value = [] + mock_goodmem_client.list_spaces.return_value = [ + {"name": "adk_chat_test_user", "spaceId": MOCK_SPACE_ID} + ] + + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + mock_context.state = {'_goodmem_space_id': MOCK_SPACE_ID} + + mock_request = MagicMock() + mock_request.contents = [ + types.Content(role="user", parts=[types.Part(text="Hello")]) + ] + + # Call both plugins with empty retrieval + result_no_debug = await plugin_no_debug.before_model_callback( + callback_context=mock_context, + llm_request=mock_request + ) + + result_debug = await plugin_debug.before_model_callback( + callback_context=mock_context, + llm_request=mock_request + ) + + # BOTH should return None (not inject empty memory block) + assert result_no_debug is None + assert result_debug is None + + # BOTH should have same behavior - early return, no modification + # This test would FAIL with the old code because debug=True returns early + # while debug=False continues and injects empty memory block + + @pytest.mark.asyncio + @pytest.mark.filterwarnings("ignore:coroutine .* was never awaited:RuntimeWarning") + async def test_concurrent_user_race_condition(self, mock_goodmem_client: MagicMock) -> None: + """Test that concurrent requests from different users don't cause data leakage.""" + import asyncio + + plugin = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID + ) + + # Mock spaces for two users + def list_spaces_side_effect(*, name=None, **kwargs): + if name == "adk_chat_alice": + return [{"name": "adk_chat_alice", "spaceId": "space_alice"}] + if name == "adk_chat_bob": + return [{"name": "adk_chat_bob", "spaceId": "space_bob"}] + return [] + + mock_goodmem_client.list_spaces.side_effect = list_spaces_side_effect + + # Track which space_id was used for each insert_memory call + insert_memory_calls = [] + + def track_insert(space_id, content, *args, **kwargs): + insert_memory_calls.append({ + "space_id": space_id, + "content": content + }) + return {"memoryId": "test-id", "processingStatus": "COMPLETED"} + + mock_goodmem_client.insert_memory.side_effect = track_insert + + # Simulate async delay (where race condition occurs) + async def slow_retrieve(*args, **kwargs): + await asyncio.sleep(0.01) # Simulate network delay + return [] + + # Use AsyncMock to properly handle the async function + mock_goodmem_client.retrieve_memories = AsyncMock(side_effect=slow_retrieve) + + # Alice's context and response + alice_context = MagicMock() + alice_context.user_id = "alice" + alice_context.session = MagicMock() + alice_context.session.id = "session_alice" + alice_context.state = {} # Separate session state for Alice + + alice_response = MagicMock() + alice_response.content = MagicMock() + alice_response.content.text = "Alice's confidential message" + + # Bob's context and response + bob_context = MagicMock() + bob_context.user_id = "bob" + bob_context.session = MagicMock() + bob_context.session.id = "session_bob" + bob_context.state = {} # Separate session state for Bob + + bob_response = MagicMock() + bob_response.content = MagicMock() + bob_response.content.text = "Bob's confidential message" + + # Simulate concurrent before_model_callback calls (sets self.space_id) + alice_request = MagicMock() + alice_request.contents = [types.Content(role="user", parts=[types.Part(text="Hi")])] + + bob_request = MagicMock() + bob_request.contents = [types.Content(role="user", parts=[types.Part(text="Hey")])] + + # Run callbacks concurrently to trigger race condition + await asyncio.gather( + plugin.before_model_callback(callback_context=alice_context, llm_request=alice_request), + plugin.before_model_callback(callback_context=bob_context, llm_request=bob_request), + ) + + # Now run after_model_callback concurrently + await asyncio.gather( + plugin.after_model_callback(callback_context=alice_context, llm_response=alice_response), + plugin.after_model_callback(callback_context=bob_context, llm_response=bob_response), + ) + + # Verify each user's data went to their own space + alice_calls = [c for c in insert_memory_calls if "Alice's confidential" in c["content"]] + bob_calls = [c for c in insert_memory_calls if "Bob's confidential" in c["content"]] + + assert len(alice_calls) == 1, "Alice's message should be logged exactly once" + assert len(bob_calls) == 1, "Bob's message should be logged exactly once" + + # CRITICAL: Alice's data must NOT go to Bob's space + assert alice_calls[0]["space_id"] == "space_alice", \ + f"Alice's data leaked to {alice_calls[0]['space_id']} instead of space_alice!" + + # CRITICAL: Bob's data must NOT go to Alice's space + assert bob_calls[0]["space_id"] == "space_bob", \ + f"Bob's data leaked to {bob_calls[0]['space_id']} instead of space_bob!" + called_names = { + kwargs.get("name") + for _, kwargs in mock_goodmem_client.list_spaces.call_args_list + } + assert called_names == {"adk_chat_alice", "adk_chat_bob"} diff --git a/tests/unittests/tools/__init__.py b/tests/unittests/tools/__init__.py new file mode 100644 index 0000000..5da5e0e --- /dev/null +++ b/tests/unittests/tools/__init__.py @@ -0,0 +1,15 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Unit tests for ADK community tools.""" diff --git a/tests/unittests/tools/test_goodmem_tools.py b/tests/unittests/tools/test_goodmem_tools.py new file mode 100644 index 0000000..e49e090 --- /dev/null +++ b/tests/unittests/tools/test_goodmem_tools.py @@ -0,0 +1,1079 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from unittest.mock import MagicMock +from unittest.mock import Mock +from unittest.mock import call +from unittest.mock import patch + +import pytest +import requests + +from google.adk_community.tools.goodmem import goodmem_tools +from google.adk_community.tools.goodmem.goodmem_client import GoodmemClient +from google.adk_community.tools.goodmem.goodmem_tools import _format_debug_table +from google.adk_community.tools.goodmem.goodmem_tools import _format_timestamp_for_table +from google.adk_community.tools.goodmem.goodmem_tools import _wrap_content +from google.adk_community.tools.goodmem.goodmem_tools import goodmem_fetch +from google.adk_community.tools.goodmem.goodmem_tools import goodmem_save + + +class TestGoodmemSave: + """Test cases for goodmem_save function.""" + + @pytest.fixture(autouse=True) + def clear_client_cache(self): + """Clear the client cache before each test.""" + goodmem_tools._client_cache.clear() + yield + goodmem_tools._client_cache.clear() + + @pytest.fixture + def mock_config(self): + """Set up mock configuration.""" + return { + 'base_url': 'http://localhost:8080', + 'api_key': 'test-api-key', + } + + @pytest.fixture + def mock_tool_context(self): + """Create a mock tool context.""" + context = MagicMock() + context.user_id = 'test-user' + context.session = MagicMock() + context.session.id = 'test-session' + # Mock state as a dict + context.state = {} + return context + + @pytest.mark.asyncio + async def test_save_success(self, mock_config, mock_tool_context): + """Test successful memory write.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.insert_memory.return_value = {'memoryId': 'memory-123'} + # Mock space already exists + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is True + assert response.memory_id == 'memory-123' + assert 'Successfully wrote' in response.message + + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + mock_client.insert_memory.assert_called_once_with( + space_id='existing-space-123', + content='Test content', + content_type='text/plain', + metadata={'user_id': 'test-user', 'session_id': 'test-session'}, + ) + # Verify space_id was cached + assert ( + mock_tool_context.state['_goodmem_space_id'] == 'existing-space-123' + ) + + @pytest.mark.asyncio + async def test_save_missing_base_url(self, mock_tool_context): + """Test error when base_url is not provided.""" + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=None, + api_key='test-api-key', + ) + + assert response.success is False + assert 'base_url' in response.message.lower() + + @pytest.mark.asyncio + async def test_save_missing_api_key(self, mock_tool_context): + """Test error when api_key is not provided.""" + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url='http://localhost:8080', + api_key=None, + ) + + assert response.success is False + assert 'api_key' in response.message.lower() + + @pytest.mark.asyncio + async def test_save_connection_error(self, mock_config, mock_tool_context): + """Test handling of connection error.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + mock_client.insert_memory.side_effect = ( + requests.exceptions.ConnectionError('Connection failed') + ) + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is False + assert 'Connection error' in response.message + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + @pytest.mark.asyncio + async def test_save_http_error_401(self, mock_config, mock_tool_context): + """Test handling of authentication error.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + mock_error = requests.exceptions.HTTPError() + mock_error.response = MagicMock() + mock_error.response.status_code = 401 + mock_client.insert_memory.side_effect = mock_error + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is False + assert 'Authentication error' in response.message + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + @pytest.mark.asyncio + async def test_save_http_error_404(self, mock_config, mock_tool_context): + """Test handling of not found error.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + mock_error = requests.exceptions.HTTPError() + mock_error.response = MagicMock() + mock_error.response.status_code = 404 + mock_client.insert_memory.side_effect = mock_error + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is False + assert 'Not found error' in response.message + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + @pytest.mark.asyncio + async def test_save_without_tool_context(self, mock_config): + """Test save without tool context returns error.""" + response = await goodmem_save( + content='Test content', + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is False + assert 'tool_context is required' in response.message + + @pytest.mark.asyncio + async def test_save_creates_space_if_not_exists( + self, mock_config, mock_tool_context + ): + """Test that a new space is created if it doesn't exist.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + # No existing spaces + mock_client.list_spaces.return_value = [] + # Mock embedders + mock_client.list_embedders.return_value = [ + {'embedderId': 'embedder-1', 'name': 'Test Embedder'} + ] + # Mock space creation + mock_client.create_space.return_value = {'spaceId': 'new-space-123'} + mock_client.insert_memory.return_value = {'memoryId': 'memory-123'} + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is True + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + mock_client.create_space.assert_called_once_with( + 'adk_tool_test-user', 'embedder-1' + ) + assert mock_tool_context.state['_goodmem_space_id'] == 'new-space-123' + + @pytest.mark.asyncio + async def test_save_space_create_conflict_reuses_existing( + self, mock_config, mock_tool_context + ): + """Test handling 409 conflict by reusing existing space.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.side_effect = [ + [], + [{'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'}], + ] + mock_client.list_embedders.return_value = [ + {'embedderId': 'embedder-1', 'name': 'Test Embedder'} + ] + conflict_error = requests.exceptions.HTTPError() + conflict_error.response = MagicMock() + conflict_error.response.status_code = 409 + mock_client.create_space.side_effect = conflict_error + mock_client.insert_memory.return_value = {'memoryId': 'memory-123'} + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is True + mock_client.list_spaces.assert_has_calls([ + call(name='adk_tool_test-user'), + call(name='adk_tool_test-user'), + ]) + assert mock_client.list_spaces.call_count == 2 + mock_client.insert_memory.assert_called_once_with( + space_id='existing-space-123', + content='Test content', + content_type='text/plain', + metadata={'user_id': 'test-user', 'session_id': 'test-session'}, + ) + assert ( + mock_tool_context.state['_goodmem_space_id'] == 'existing-space-123' + ) + + @pytest.mark.asyncio + async def test_save_uses_cached_space_id( + self, mock_config, mock_tool_context + ): + """Test that cached space_id is used on subsequent calls.""" + # Pre-populate cache + mock_tool_context.state['_goodmem_space_id'] = 'cached-space-123' + + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.insert_memory.return_value = {'memoryId': 'memory-123'} + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is True + # list_spaces should NOT be called since we have cache + mock_client.list_spaces.assert_not_called() + mock_client.insert_memory.assert_called_once_with( + space_id='cached-space-123', + content='Test content', + content_type='text/plain', + metadata={'user_id': 'test-user', 'session_id': 'test-session'}, + ) + + @pytest.mark.asyncio + async def test_save_prefers_exact_space_name( + self, mock_config, mock_tool_context + ): + """Test that exact name match is preferred over case mismatch.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'case-mismatch', 'name': 'ADK_TOOL_TEST-USER'}, + {'spaceId': 'exact-match', 'name': 'adk_tool_test-user'}, + ] + mock_client.insert_memory.return_value = {'memoryId': 'memory-123'} + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is True + mock_client.list_spaces.assert_called_once_with( + name='adk_tool_test-user' + ) + mock_client.create_space.assert_not_called() + mock_client.insert_memory.assert_called_once_with( + space_id='exact-match', + content='Test content', + content_type='text/plain', + metadata={'user_id': 'test-user', 'session_id': 'test-session'}, + ) + + @pytest.mark.asyncio + async def test_save_with_custom_embedder_id( + self, mock_config, mock_tool_context + ): + """Test using custom embedder_id.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [] + mock_client.list_embedders.return_value = [ + {'embedderId': 'custom-embedder', 'name': 'Custom Embedder'} + ] + mock_client.create_space.return_value = {'spaceId': 'new-space-123'} + mock_client.insert_memory.return_value = {'memoryId': 'memory-123'} + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + embedder_id='custom-embedder', + ) + + assert response.success is True + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + mock_client.create_space.assert_called_once_with( + 'adk_tool_test-user', 'custom-embedder' + ) + + @pytest.mark.asyncio + async def test_save_invalid_embedder_id(self, mock_config, mock_tool_context): + """Test error when embedder_id is invalid.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [] + mock_client.list_embedders.return_value = [ + {'embedderId': 'valid-embedder', 'name': 'Valid Embedder'} + ] + + response = await goodmem_save( + content='Test content', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + embedder_id='invalid-embedder', + ) + + assert response.success is False + assert 'invalid-embedder' in response.message + assert 'not found' in response.message + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + +class TestGoodmemFetch: + """Test cases for goodmem_fetch function.""" + + @pytest.fixture(autouse=True) + def clear_client_cache(self): + """Clear the client cache before each test.""" + goodmem_tools._client_cache.clear() + yield + goodmem_tools._client_cache.clear() + + @pytest.fixture + def mock_config(self): + """Set up mock configuration.""" + return { + 'base_url': 'http://localhost:8080', + 'api_key': 'test-api-key', + } + + @pytest.fixture + def mock_tool_context(self): + """Create a mock tool context.""" + context = MagicMock() + context.user_id = 'test-user' + context.session = MagicMock() + context.session.id = 'test-session' + context.state = {} + return context + + @pytest.mark.asyncio + async def test_fetch_success(self, mock_config, mock_tool_context): + """Test successful memory retrieval.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + mock_client.retrieve_memories.return_value = [{ + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-123', + 'chunkText': 'Test memory content', + 'updatedAt': 1234567890, + } + } + } + }] + mock_client.get_memory_by_id.return_value = { + 'metadata': {'user_id': 'test-user'} + } + + response = await goodmem_fetch( + query='test query', + top_k=5, + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is True + assert response.count == 1 + assert len(response.memories) == 1 + assert response.memories[0].memory_id == 'memory-123' + assert response.memories[0].content == 'Test memory content' + assert response.memories[0].metadata == {'user_id': 'test-user'} + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + @pytest.mark.asyncio + async def test_fetch_no_results(self, mock_config, mock_tool_context): + """Test fetch with no matching memories.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + mock_client.retrieve_memories.return_value = [] + + response = await goodmem_fetch( + query='test query', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is True + assert response.count == 0 + assert len(response.memories) == 0 + assert 'No memories found' in response.message + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + @pytest.mark.asyncio + async def test_fetch_top_k_validation(self, mock_config, mock_tool_context): + """Test top_k parameter validation.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + mock_client.retrieve_memories.return_value = [] + + # Test max top_k + await goodmem_fetch( + query='test', + top_k=25, + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + mock_client.retrieve_memories.assert_called_with( + query='test', + space_ids=['existing-space-123'], + request_size=20, # Should be capped at 20 + ) + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + # Reset mock + mock_client.reset_mock() + mock_tool_context.state = {} + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + mock_client.retrieve_memories.return_value = [] + + # Test min top_k + await goodmem_fetch( + query='test', + top_k=0, + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + mock_client.retrieve_memories.assert_called_with( + query='test', + space_ids=['existing-space-123'], + request_size=1, # Should be at least 1 + ) + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + @pytest.mark.asyncio + async def test_fetch_cleans_content_prefix( + self, mock_config, mock_tool_context + ): + """Test that User: and LLM: prefixes are removed from content.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + mock_client.retrieve_memories.return_value = [ + { + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-1', + 'chunkText': 'User: Hello there', + 'updatedAt': 1234567890, + } + } + } + }, + { + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-2', + 'chunkText': 'LLM: Hi! How can I help?', + 'updatedAt': 1234567891, + } + } + } + }, + ] + mock_client.get_memory_by_id.return_value = {'metadata': {}} + + response = await goodmem_fetch( + query='test', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.memories[0].content == 'Hello there' + assert response.memories[1].content == 'Hi! How can I help?' + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + @pytest.mark.asyncio + async def test_fetch_connection_error(self, mock_config, mock_tool_context): + """Test handling of connection error.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.side_effect = requests.exceptions.ConnectionError( + 'Connection failed' + ) + + response = await goodmem_fetch( + query='test', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is False + assert ( + 'Connection error' in response.message + or 'Error getting or creating space' in response.message + ) + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + @pytest.mark.asyncio + async def test_fetch_missing_config(self, mock_tool_context): + """Test error when configuration is missing.""" + response = await goodmem_fetch( + query='test', + tool_context=mock_tool_context, + base_url=None, + api_key=None, + ) + + assert response.success is False + assert 'base_url' in response.message.lower() + + @pytest.mark.asyncio + async def test_fetch_deduplicates_memories( + self, mock_config, mock_tool_context + ): + """Test that duplicate memory IDs are filtered.""" + with patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient: + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + # Return same memory ID twice + mock_client.retrieve_memories.return_value = [ + { + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-123', + 'chunkText': 'First chunk', + 'updatedAt': 1234567890, + } + } + } + }, + { + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-123', + 'chunkText': 'Second chunk', + 'updatedAt': 1234567891, + } + } + } + }, + ] + mock_client.get_memory_by_id.return_value = {'metadata': {}} + + response = await goodmem_fetch( + query='test', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + # Should only return one memory despite two chunks + assert response.count == 1 + assert len(response.memories) == 1 + mock_client.list_spaces.assert_called_once_with(name='adk_tool_test-user') + + @pytest.mark.asyncio + async def test_fetch_debug_table_output(self, mock_config, mock_tool_context): + """Test that debug table is printed when debug mode is enabled.""" + with ( + patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient, + patch('builtins.print') as mock_print, + ): + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + # Set debug mode + goodmem_tools._tool_debug = True + try: + mock_client.retrieve_memories.return_value = [{ + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-123', + 'chunkText': 'User: Test content', + 'updatedAt': 1234567890000, # 2009-02-13 23:31:30 UTC + } + } + } + }] + mock_client.get_memory_by_id.return_value = { + 'metadata': {'user_id': 'test-user'} + } + + response = await goodmem_fetch( + query='test query', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is True + # Verify debug table was printed + print_calls = [str(call) for call in mock_print.call_args_list] + debug_table_printed = any( + '[DEBUG] Retrieved memories:' in str(call) for call in print_calls + ) + assert ( + debug_table_printed + ), 'Debug table should be printed when debug is enabled' + mock_client.list_spaces.assert_called_once_with( + name='adk_tool_test-user' + ) + finally: + goodmem_tools._tool_debug = False + + @pytest.mark.asyncio + async def test_fetch_role_detection_from_prefix( + self, mock_config, mock_tool_context + ): + """Test that role is correctly detected from content prefix.""" + with ( + patch( + 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' + ) as MockClient, + patch('builtins.print') as mock_print, + ): + mock_client = MockClient.return_value + mock_client.list_spaces.return_value = [ + {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} + ] + goodmem_tools._tool_debug = True + try: + mock_client.retrieve_memories.return_value = [ + { + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-user', + 'chunkText': 'User: This is from user', + 'updatedAt': 1234567890000, + } + } + } + }, + { + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-llm', + 'chunkText': 'LLM: This is from llm', + 'updatedAt': 1234567891000, + } + } + } + }, + ] + mock_client.get_memory_by_id.return_value = {'metadata': {}} + + response = await goodmem_fetch( + query='test', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + ) + + assert response.success is True + assert len(response.memories) == 2 + # Content should have prefix removed + assert response.memories[0].content == 'This is from user' + assert response.memories[1].content == 'This is from llm' + + # Verify debug table contains correct roles + print_calls = str(mock_print.call_args_list) + assert 'user' in print_calls.lower() or 'role' in print_calls.lower() + mock_client.list_spaces.assert_called_once_with( + name='adk_tool_test-user' + ) + finally: + goodmem_tools._tool_debug = False + + +class TestDebugTableFormatting: + """Test cases for debug table formatting functions.""" + + def test_format_timestamp_for_table(self): + """Test timestamp formatting for table display.""" + # Test valid timestamp + timestamp_ms = 1234567890000 # 2009-02-13 23:31:30 UTC + result = _format_timestamp_for_table(timestamp_ms) + assert result == '2009-02-13 23:31' + + # Test None + result = _format_timestamp_for_table(None) + assert result == '' + + # Test invalid timestamp (should return string representation) + result = _format_timestamp_for_table('invalid') + assert isinstance(result, str) + + def test_wrap_content(self): + """Test content wrapping.""" + # Short content should not wrap + content = 'Short content' + result = _wrap_content(content, max_width=55) + assert result == ['Short content'] + + # Long content should wrap + long_content = ( + 'This is a very long content that should definitely wrap because it' + ' exceeds the maximum width of 55 characters' + ) + result = _wrap_content(long_content, max_width=55) + assert len(result) > 1 + assert all(len(line) <= 55 for line in result) + + # Empty content + result = _wrap_content('', max_width=55) + assert result == [''] + + def test_format_debug_table(self): + """Test debug table formatting.""" + records = [ + { + 'memory_id': '019c01e4-385a-7784-a2aa-4b2a3d0b7167', + 'timestamp_ms': 1738029420000, # 2026-01-27 23:57:00 UTC + 'role': 'user', + 'content': "what's my name", + }, + { + 'memory_id': '019c01e7-a4d1-7400-ad8b-6782f4277343', + 'timestamp_ms': 1738032060000, # 2026-01-28 00:01:00 UTC + 'role': 'llm', + 'content': ( + "As an AI, I don't know your name unless you've told me during" + ' our current conversation.' + ), + }, + ] + + result = _format_debug_table(records) + + # Verify table structure + assert 'memory ID' in result + assert 'datetime' in result + assert 'role' in result + assert 'content' in result + assert '019c01e4-385a-7784-a2aa-4b2a3d0b7167' in result + assert 'user' in result + assert 'llm' in result + assert "what's my name" in result + assert '|' in result # Table separators + + # Test empty records + result = _format_debug_table([]) + assert result == '' + + def test_format_debug_table_with_wrapped_content(self): + """Test debug table with content that needs wrapping.""" + records = [ + { + 'memory_id': 'test-id-123', + 'timestamp_ms': 1234567890000, + 'role': 'user', + 'content': ( + 'This is a very long content that should wrap because it' + ' exceeds the maximum width of 55 characters and needs to be' + ' displayed across multiple lines' + ), + }, + ] + + result = _format_debug_table(records) + + # Should contain the memory ID and role + assert 'test-id-123' in result + assert 'user' in result + # Content should be wrapped (multiple lines) + lines = result.split('\n') + # Should have header, separator, and at least 2 content lines + assert len(lines) >= 4 + + +class TestGoodmemClientNDJSON: + """Test cases for NDJSON parsing edge cases in GoodmemClient.""" + + def test_ndjson_with_blank_lines(self): + """Test NDJSON parsing with blank lines interspersed.""" + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + # Mock response with blank lines between valid JSON + ndjson_response = ( + '\n{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n\n{"retrievedItem": {"chunk": {"chunk": {"memoryId":' + ' "2", "chunkText": "Second"}}}}\n' + ) + + with patch('requests.post') as mock_post: + mock_response = Mock() + mock_response.text = ndjson_response + mock_response.raise_for_status = Mock() + mock_post.return_value = mock_response + + result = client.retrieve_memories(query='test', space_ids=['space-1']) + + assert len(result) == 2 + assert result[0]['retrievedItem']['chunk']['chunk']['memoryId'] == '1' + assert result[1]['retrievedItem']['chunk']['chunk']['memoryId'] == '2' + + def test_ndjson_with_multiple_consecutive_blank_lines(self): + """Test NDJSON parsing with multiple consecutive blank lines.""" + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = ( + '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n\n\n\n{"retrievedItem": {"chunk": {"chunk": {"memoryId":' + ' "2", "chunkText": "Second"}}}}' + ) + + with patch('requests.post') as mock_post: + mock_response = Mock() + mock_response.text = ndjson_response + mock_response.raise_for_status = Mock() + mock_post.return_value = mock_response + + result = client.retrieve_memories(query='test', space_ids=['space-1']) + + assert len(result) == 2 + + def test_ndjson_with_whitespace_only_lines(self): + """Test NDJSON parsing with lines containing only whitespace.""" + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = ( + '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n \n\t\n{"retrievedItem": {"chunk": {"chunk":' + ' {"memoryId": "2", "chunkText": "Second"}}}}' + ) + + with patch('requests.post') as mock_post: + mock_response = Mock() + mock_response.text = ndjson_response + mock_response.raise_for_status = Mock() + mock_post.return_value = mock_response + + result = client.retrieve_memories(query='test', space_ids=['space-1']) + + assert len(result) == 2 + + def test_ndjson_with_trailing_newlines(self): + """Test NDJSON parsing with trailing newlines.""" + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = ( + '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n{"retrievedItem": {"chunk": {"chunk": {"memoryId": "2",' + ' "chunkText": "Second"}}}}\n\n\n' + ) + + with patch('requests.post') as mock_post: + mock_response = Mock() + mock_response.text = ndjson_response + mock_response.raise_for_status = Mock() + mock_post.return_value = mock_response + + result = client.retrieve_memories(query='test', space_ids=['space-1']) + + assert len(result) == 2 + + def test_ndjson_empty_response(self): + """Test NDJSON parsing with empty response.""" + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = '' + + with patch('requests.post') as mock_post: + mock_response = Mock() + mock_response.text = ndjson_response + mock_response.raise_for_status = Mock() + mock_post.return_value = mock_response + + result = client.retrieve_memories(query='test', space_ids=['space-1']) + + assert len(result) == 0 + + def test_ndjson_only_blank_lines(self): + """Test NDJSON parsing with only blank lines.""" + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = '\n\n\n \n\t\n' + + with patch('requests.post') as mock_post: + mock_response = Mock() + mock_response.text = ndjson_response + mock_response.raise_for_status = Mock() + mock_post.return_value = mock_response + + result = client.retrieve_memories(query='test', space_ids=['space-1']) + + assert len(result) == 0 + + def test_ndjson_filters_non_retrieved_items(self): + """Test that lines without 'retrievedItem' key are filtered out.""" + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + # Mix of valid retrievedItem and other JSON objects + ndjson_response = ( + '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n{"status": "processing"}\n{"retrievedItem": {"chunk":' + ' {"chunk": {"memoryId": "2", "chunkText": "Second"}}}}' + ) + + with patch('requests.post') as mock_post: + mock_response = Mock() + mock_response.text = ndjson_response + mock_response.raise_for_status = Mock() + mock_post.return_value = mock_response + + result = client.retrieve_memories(query='test', space_ids=['space-1']) + + # Should only return the 2 items with retrievedItem key + assert len(result) == 2 + assert all('retrievedItem' in item for item in result) + + +class TestGoodmemClientListSpaces: + """Test cases for GoodmemClient list_spaces.""" + + def test_list_spaces_with_name_filter(self): + """Test list_spaces includes nameFilter and maxResults.""" + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + with patch('requests.get') as mock_get: + mock_response = Mock() + mock_response.json.return_value = { + 'spaces': [{'spaceId': 'space-1', 'name': 'adk_tool_test-user'}] + } + mock_response.raise_for_status = Mock() + mock_get.return_value = mock_response + + result = client.list_spaces(name='adk_tool_test-user') + + assert len(result) == 1 + assert result[0]['name'] == 'adk_tool_test-user' + mock_get.assert_called_once_with( + 'http://localhost:8080/v1/spaces', + headers=client._headers, + params={'maxResults': 1000, 'nameFilter': 'adk_tool_test-user'}, + timeout=30, + ) From 4d65885d2c8d1087f7c927d543e570dd08a0010a Mon Sep 17 00:00:00 2001 From: Forrest Bao Date: Thu, 29 Jan 2026 15:33:21 -0800 Subject: [PATCH 2/5] update README and expand gitignore --- .gitignore | 1 + contributing/samples/goodmem/README.md | 72 ++++++++++++++++++++++---- 2 files changed, 64 insertions(+), 9 deletions(-) diff --git a/.gitignore b/.gitignore index 876c0af..009e211 100644 --- a/.gitignore +++ b/.gitignore @@ -75,6 +75,7 @@ site/ # ADK session state .adk/ +*.db # Misc Thumbs.db diff --git a/contributing/samples/goodmem/README.md b/contributing/samples/goodmem/README.md index e08e0d1..3369130 100644 --- a/contributing/samples/goodmem/README.md +++ b/contributing/samples/goodmem/README.md @@ -1,14 +1,68 @@ # Goodmem integrations with ADK -This directory contains the Goodmem tools integration for ADK plus a runnable demo. +## What’s included -Goodmem offers three integrations with ADK: -1. A memory service -2. A tool that automatically logs and fetches memories (see `TOOLS.md`) -3. A plugin for chat use case (see `PLUGIN.md`) -- `TOOLS.md` explains setup, configuration, and usage for `goodmem_save` and - `goodmem_fetch`. -- `goodmem_tools_demo/` is a minimal agent you can run with `adk run`. -- `goodmem_tools_for_adk.png` is the screenshot used in the tools guide. +### Tools (agent-invoked) +| Name | Role | When used | +|------|------|-----------| +| **GoodmemSaveTool** | Wraps `goodmem_save` | The agent **calls** it when it wants to store content in Goodmem (e.g. "My favorite color is blue"). | +| **GoodmemFetchTool** | Wraps `goodmem_fetch` | The agent **calls** it when it wants to search/retrieve memories (e.g. "What do I need to do to get into my dream school?"). | + +- **goodmem_save**: Writes content to a user-scoped Goodmem space with metadata (e.g. `user_id`, `session_id`). Space is created or reused per user (`adk_tool_{user_id}`). +- **goodmem_fetch**: Runs semantic search over that user’s space and returns the top-k relevant memories (optionally with debug table output). + +### Plugin (automatic, callbacks) + +| Name | Role | When triggered | +|------|------|----------------| +| **GoodmemChatPlugin** | Chat memory for ADK apps | **Automatic**: on user message → logs user text and supported file attachments to Goodmem; before model → retrieves top-k relevant memories and augments the LLM request; after model → logs the LLM response to Goodmem. | + +- Uses one Goodmem space per user (`adk_chat_{user_id}`). +- Filters file attachments by MIME type for Goodmem (e.g. text, PDF, docx); all files still go to the LLM. + +## Usage + +* For tools, see [TOOLS.md](TOOLS.md) and the demo in `goodmem_tools_demo/`. +* For plugin, see [PLUGIN.md](PLUGIN.md) and the demo in `goodmem_plugin_demo/`. + +## Files added / changed (ASCII tree) + +``` +adk-python-community/ +├── .gitignore (M – add .adk/ ignore) +├── pyproject.toml (M – add requests, plugins/tools) +├── src/google/adk_community/ +│ ├── __init__.py (M – export plugins, tools) +│ ├── plugins/ +│ │ ├── __init__.py (A) +│ │ └── goodmem/ +│ │ ├── __init__.py (A) +│ │ ├── goodmem_client.py (A – HTTP client for Goodmem API) +│ │ └── goodmem_plugin.py (A – chat plugin implementation) +│ └── tools/ +│ ├── __init__.py (A) +│ └── goodmem/ +│ ├── __init__.py (A) +│ ├── goodmem_client.py (A – shared HTTP client) +│ └── goodmem_tools.py (A – goodmem_save, goodmem_fetch tools) +├── tests/unittests/ +│ ├── plugins/ +│ │ ├── __init__.py (A) +│ │ └── test_goodmem_plugin.py (A) +│ └── tools/ +│ ├── __init__.py (A) +│ └── test_goodmem_tools.py (A) +└── contributing/samples/goodmem/ + ├── README.md (A) + ├── TOOLS.md (A) + ├── PLUGIN.md (A) + ├── goodmem_tools_for_adk.png (A) + ├── goodmem_tools_demo/ + │ └── agent.py (A) + └── goodmem_plugin_demo/ + └── agent.py (A) +``` + +**Legend:** `A` = added, `M` = modified. From d50db1ce09f8fa224796329197105531fc30f8e8 Mon Sep 17 00:00:00 2001 From: Forrest Bao Date: Thu, 29 Jan 2026 17:07:03 -0800 Subject: [PATCH 3/5] address goodmem review feedback Consolidate the Goodmem client, add batch metadata retrieval, and align error handling and docs with review notes. Also update tests to cover lazy embedder resolution, batch fetch, and error paths. --- PR.md | 162 +++++++++ contributing/samples/goodmem/PLUGIN.md | 2 +- .../samples/goodmem/SDK_EVALUATION.md | 106 ++++++ contributing/samples/goodmem/TOOLS.md | 6 +- pyproject.toml | 3 +- .../adk_community/plugins/goodmem/__init__.py | 2 + .../goodmem/client.py} | 141 +++++--- .../plugins/goodmem/goodmem_client.py | 304 ---------------- .../plugins/goodmem/goodmem_plugin.py | 95 +++-- .../adk_community/tools/goodmem/__init__.py | 2 +- .../tools/goodmem/goodmem_tools.py | 104 +++--- .../unittests/plugins/test_goodmem_plugin.py | 258 +++++++++---- tests/unittests/tools/test_goodmem_tools.py | 338 +++++++++--------- 13 files changed, 823 insertions(+), 700 deletions(-) create mode 100644 PR.md create mode 100644 contributing/samples/goodmem/SDK_EVALUATION.md rename src/google/adk_community/{tools/goodmem/goodmem_client.py => plugins/goodmem/client.py} (67%) delete mode 100644 src/google/adk_community/plugins/goodmem/goodmem_client.py diff --git a/PR.md b/PR.md new file mode 100644 index 0000000..951daba --- /dev/null +++ b/PR.md @@ -0,0 +1,162 @@ +# PR: Goodmem tools and plugin for ADK + +This PR adds [Goodmem.ai](https://goodmem.ai) integrations to ADK: two **tools** for explicit memory save/fetch and one **plugin** for automatic chat memory in conversational agents. + +--- + +## Files added / changed (ASCII tree) + +``` +adk-python-community/ +├── .gitignore (M – add .adk/ ignore) +├── pyproject.toml (M – add requests, plugins/tools) +├── src/google/adk_community/ +│ ├── __init__.py (M – export plugins, tools) +│ ├── plugins/ +│ │ ├── __init__.py (A) +│ │ └── goodmem/ +│ │ ├── __init__.py (A) +│ │ ├── goodmem_client.py (A – HTTP client for Goodmem API) +│ │ └── goodmem_plugin.py (A – chat plugin implementation) +│ └── tools/ +│ ├── __init__.py (A) +│ └── goodmem/ +│ ├── __init__.py (A) +│ ├── goodmem_client.py (A – shared HTTP client) +│ └── goodmem_tools.py (A – goodmem_save, goodmem_fetch tools) +├── tests/unittests/ +│ ├── plugins/ +│ │ ├── __init__.py (A) +│ │ └── test_goodmem_plugin.py (A) +│ └── tools/ +│ ├── __init__.py (A) +│ └── test_goodmem_tools.py (A) +└── contributing/samples/goodmem/ + ├── README.md (A) + ├── TOOLS.md (A) + ├── PLUGIN.md (A) + ├── goodmem_tools_for_adk.png (A) + ├── goodmem_tools_demo/ + │ └── agent.py (A) + └── goodmem_plugin_demo/ + └── agent.py (A) +``` + +**Legend:** `A` = added, `M` = modified. + +--- + +## What’s included + +### Tools (agent-invoked) + +| Name | Role | When used | +|------|------|-----------| +| **GoodmemSaveTool** | Wraps `goodmem_save` | The agent **calls** it when it wants to store content in Goodmem (e.g. "My favorite color is blue"). | +| **GoodmemFetchTool** | Wraps `goodmem_fetch` | The agent **calls** it when it wants to search/retrieve memories (e.g. "What do I need to do to get into my dream school?"). | + +- **goodmem_save**: Writes content to a user-scoped Goodmem space with metadata (e.g. `user_id`, `session_id`). Space is created or reused per user (`adk_tool_{user_id}`). +- **goodmem_fetch**: Runs semantic search over that user’s space and returns the top-k relevant memories (optionally with debug table output). + +### Plugin (automatic, callbacks) + +| Name | Role | When triggered | +|------|------|----------------| +| **GoodmemChatPlugin** | Chat memory for ADK apps | **Automatic**: on user message → logs user text and supported file attachments to Goodmem; before model → retrieves top-k relevant memories and augments the LLM request; after model → logs the LLM response to Goodmem. | + +- Uses one Goodmem space per user (`adk_chat_{user_id}`). +- Filters file attachments by MIME type for Goodmem (e.g. text, PDF, docx); all files still go to the LLM. + +--- + +## How to instantiate and wire to an ADK agent + +Local development (including before they are marged into an official `google-adk-community` release): + +```bash +# Clone the repository (or navigate to your local clone) +cd adk-python-community + +# Install the package in editable/development mode +pip install -e . +``` + +### Tools: all arguments (including optional) + +```python +import os +from google.adk.agents import LlmAgent +from google.adk.apps import App +from google.adk_community.tools.goodmem import GoodmemSaveTool +from google.adk_community.tools.goodmem import GoodmemFetchTool + +# GoodmemSaveTool – optional: embedder_id, debug +goodmem_save_tool = GoodmemSaveTool( + base_url=os.getenv("GOODMEM_BASE_URL"), # required + api_key=os.getenv("GOODMEM_API_KEY"), # required + embedder_id=os.getenv("GOODMEM_EMBEDDER_ID"), # optional; if omitted, first embedder is used + debug=False, # optional, default False +) + +# GoodmemFetchTool – optional: embedder_id, top_k, debug +goodmem_fetch_tool = GoodmemFetchTool( + base_url=os.getenv("GOODMEM_BASE_URL"), # required + api_key=os.getenv("GOODMEM_API_KEY"), # required + embedder_id=os.getenv("GOODMEM_EMBEDDER_ID"), # optional + top_k=5, # optional, default 5 (max 20) + debug=False, # optional, default False +) + +root_agent = LlmAgent( + model="gemini-2.5-flash", + name="goodmem_tools_agent", + description="A helpful assistant.", + instruction="Answer user questions to the best of your knowledge.", + tools=[goodmem_save_tool, goodmem_fetch_tool], +) + +app = App(name="goodmem_tools_demo", root_agent=root_agent) +``` + +### Plugin: all arguments (including optional) + +```python +import os +from google.adk.agents import LlmAgent +from google.adk.apps import App +from google.adk_community.plugins.goodmem import GoodmemChatPlugin + +goodmem_chat_plugin = GoodmemChatPlugin( + base_url=os.getenv("GOODMEM_BASE_URL"), # required + api_key=os.getenv("GOODMEM_API_KEY"), # required + name="GoodmemChatPlugin", # optional, default "GoodmemChatPlugin" + embedder_id=os.getenv("EMBEDDER_ID"), # optional; if omitted, first embedder from API + top_k=5, # optional, default 5 + debug=False, # optional, default False +) + +root_agent = LlmAgent( + model="gemini-2.5-flash", + name="root_agent", + description="A helpful assistant for user questions.", + instruction="Answer user questions to the best of your knowledge", +) + +app = App( + name="goodmem_plugin_demo", + root_agent=root_agent, + plugins=[goodmem_chat_plugin], +) +``` + +### + +--- + +## Docs and demos + +- **contributing/samples/goodmem/README.md** – Overview of tools vs plugin. +- **contributing/samples/goodmem/TOOLS.md** – Setup and usage for tools. +- **contributing/samples/goodmem/PLUGIN.md** – Setup and usage for the plugin. +- **contributing/samples/goodmem/goodmem_tools_demo/** – Runnable agent with tools. +- **contributing/samples/goodmem/goodmem_plugin_demo/** – Runnable agent with plugin. diff --git a/contributing/samples/goodmem/PLUGIN.md b/contributing/samples/goodmem/PLUGIN.md index 68e76ac..b0d67c9 100644 --- a/contributing/samples/goodmem/PLUGIN.md +++ b/contributing/samples/goodmem/PLUGIN.md @@ -146,7 +146,7 @@ it normally with `pip install google-adk-community`. │ └── goodmem/ │ ├── __init__.py (new: module exports, 21 lines) │ ├── goodmem_client.py (new: 300 lines, HTTP client for Goodmem API) -│ └── goodmem.py (new: 627 lines, plugin implementation) +│ └── goodmem_plugin.py (new: 627 lines, plugin implementation) │ ├── tests/unittests/ │ └── plugins/ diff --git a/contributing/samples/goodmem/SDK_EVALUATION.md b/contributing/samples/goodmem/SDK_EVALUATION.md new file mode 100644 index 0000000..2fcc192 --- /dev/null +++ b/contributing/samples/goodmem/SDK_EVALUATION.md @@ -0,0 +1,106 @@ +# Evaluation: Custom `client.py` vs [goodmem-client](https://pypi.org/project/goodmem-client/) PyPI SDK + +This doc compares keeping the in-repo `GoodmemClient` (httpx-based) vs adopting the official [goodmem-client](https://pypi.org/project/goodmem-client/) Python SDK (OpenAPI-generated, v1.5.10). + +--- + +## Current custom client surface + +| Method | Purpose | +|--------|--------| +| `create_space(space_name, embedder_id)` | Create space with default chunking | +| `list_spaces(name=None)` | List spaces, optional **name filter** (server-side `nameFilter`) | +| `list_embedders()` | List embedders (for lazy embedder resolution) | +| `insert_memory(space_id, content, content_type, metadata)` | Text memory | +| `insert_memory_binary(space_id, content_bytes, content_type, metadata)` | Binary/multipart memory | +| `retrieve_memories(query, space_ids, request_size)` | **POST** retrieve, returns **list** of parsed NDJSON chunks | +| `get_memory_by_id(memory_id)` | Single memory by ID | +| `get_memories_batch(memory_ids)` | **POST** `/v1/memories:batchGet` | + +Plugin and tools use: **space-by-name** (list then pick), **sync** retrieve returning a **list**, **batch get**, and **binary insert**. + +--- + +## Pros of switching to goodmem-client + +- **Official / maintained** + Aligns with the [GoodMem server API](https://pypi.org/project/goodmem-client/) (e.g. server v1.0.224). Bug fixes and new endpoints (filter expressions, streaming, post-processors) show up in the SDK. + +- **API coverage** + Covers spaces, memories, embedders, batch get, streaming retrieval, filters, etc. + [MemoriesApi](https://pypi.org/project/goodmem-client/) includes `batch_get_memory`, `get_memory`, `create_memory`; [SpacesApi](https://pypi.org/project/goodmem-client/) has `list_spaces`, `create_space`; [EmbeddersApi](https://pypi.org/project/goodmem-client/) has `list_embedders`. + +- **Structured types** + OpenAPI-generated request/response models (e.g. `Space`, `Memory`, `BatchMemoryRetrievalRequest`) instead of raw dicts. + +- **Less custom HTTP code** + No manual NDJSON parsing, URL encoding, or multipart building if the SDK exposes the same operations. + +- **Future features** + Filter expressions, streaming (`MemoryStreamClient`), post-processors (e.g. Chat), OCR, etc. are documented and supported in the SDK. + +- **Single dependency for Goodmem** + One `goodmem-client` dependency instead of maintaining our own HTTP client and keeping it in sync with the API. + +--- + +## Cons / tradeoffs + +- **Different call patterns** + Our code expects a small, sync API (e.g. `retrieve_memories` → list of chunks). The SDK emphasizes **streaming** (`MemoryStreamClient.retrieve_memory_stream`) and may expose **GET** vs **POST** retrieve differently. We’d need a thin wrapper that: + - Calls the appropriate retrieve API (e.g. `retrieve_memory_advanced` or streaming). + - Collects results into a **list** so plugin/tools don’t need to change. + +- **“Get space ID from name” not a single call** + The SDK’s `SpacesApi.list_spaces()` returns a list of spaces; it may or may not support a `name_filter` (or equivalent) in the generated client. Either way we’d implement a small helper, e.g.: + - `get_space_id_by_name(name) -> str | None`: call `list_spaces` (with filter if the API supports it), then find the space with `name == space_name` and return its ID. If the SDK doesn’t support server-side name filter, we filter in Python after listing. + +- **Binary / multipart memory** + Our `insert_memory_binary` does multipart upload. We’d need to map that to the SDK’s memory creation (e.g. `MemoriesApi.create_memory` with the right payload/API for binary content). If the SDK only has a different shape, we keep a small adapter. + +- **Response shape** + SDK returns typed models (e.g. Pydantic/dataclasses), not plain dicts. Plugin and tools use `space.get("spaceId")`, `response.get("memories", [])`, etc. We’d either: + - Use SDK types and update call sites to use attributes, or + - Add a thin “dict-like” adapter so existing code stays mostly unchanged. + +- **Dependency and versioning** + We add `goodmem-client` and pin a version (e.g. `>=1.5.10, <2`). Upgrades may change method names or signatures (OpenAPI regen); we’d run tests and adjust wrappers. + +- **Debug flag** + Our client has a `debug` flag and prints. The SDK uses `Configuration` and its own patterns; we’d either wrap the SDK and keep our debug prints in the wrapper or rely on the SDK’s logging. + +--- + +## Gaps you’d implement on top of the SDK + +1. **Space ID by name** + - `get_space_id_by_name(name: str) -> Optional[str]`: + Call `SpacesApi.list_spaces()` (with name filter parameter if present in the generated client). + If no name filter: list and return the first `space.space_id` where `space.name == name`. + Return `None` if not found. + +2. **Sync “retrieve and return list”** + - If the SDK only offers streaming: consume `retrieve_memory_stream` (or equivalent), collect events into a list of chunk dicts, and expose e.g. `retrieve_memories_list(query, space_ids, request_size) -> List[Dict]` so the plugin’s `before_model_callback` and tools keep the same interface. + +3. **Binary memory creation** + - If the SDK’s `create_memory` doesn’t match our multipart usage, add a helper that builds the request (or uses the right SDK method) so we still have a single “insert binary memory” entry point. + +4. **Batch get** + - SDK has `MemoriesApi.batch_get_memory` ([POST /v1/memories:batchGet](https://pypi.org/project/goodmem-client/)). We’d call it and, if needed, map the response to a list of dicts for existing code. + +5. **Pagination for list_spaces** + - Our client paginates with `nextToken`. If the SDK’s `list_spaces` returns one page, we’d implement a small loop (or use SDK pagination if provided) so “list all spaces” / “find by name” still works with many spaces. + +--- + +## Recommendation summary + +- **Staying with the custom client** is reasonable if you want minimal dependencies, full control over request/response shapes, and no churn from SDK upgrades. You already have batch get, retrieve-as-list, and name-filtered list; maintenance is mainly keeping in sync with the Goodmem API when it changes. + +- **Switching to goodmem-client** is attractive if you want to rely on the official client for correctness and new features (filters, streaming, post-processors). The extra work is a **thin wrapper layer** that: + - Provides `get_space_id_by_name` (and optionally `list_spaces` with name filter if the API supports it). + - Exposes a sync “retrieve → list of chunks” and “batch get → list of dicts” so the plugin and tools don’t need to deal with streaming or SDK types. + - Maps binary insert to the SDK’s create-memory API. + - Keeps your existing `GoodmemClient`-style interface (or a close equivalent) so plugin and tools change as little as possible. + +If you adopt the SDK, do it behind a small facade (e.g. `GoodmemClient` implemented via goodmem-client) so call sites stay the same and you can swap or reimplement the backend later. diff --git a/contributing/samples/goodmem/TOOLS.md b/contributing/samples/goodmem/TOOLS.md index 4402d79..c75797a 100644 --- a/contributing/samples/goodmem/TOOLS.md +++ b/contributing/samples/goodmem/TOOLS.md @@ -78,7 +78,7 @@ If you want to use these tools after changes not yet merged into an official `go cd adk-python-community # Install the package in editable/development mode -pip install -e ".[goodmem]" +pip install -e . ``` This will make `from google.adk_community.tools import goodmem_save, goodmem_fetch` @@ -140,6 +140,6 @@ adk-python-community/ - **user_id is never None**: ADK's `Session.user_id` is a required field enforced by Pydantic. Do not add defensive null-checks for `tool_context.user_id`. - **Debug prints in binary uploads are intentional**: The data printed is already stored in Goodmem. Developers control both logs and database. -- **`_tool_debug` global flag**: This is low risk and only applies when debug mode is enabled. In normal deployments debug is off, so this does not apply. -- **Blocking HTTP in async functions**: The tools use synchronous `requests` in async functions. This matches ADK's own `RestApiTool` pattern. +- **Debug is per-instance**: Each tool instance has its own `debug` flag; no global state, so multiple instances with different debug settings are thread-safe. +- **Blocking HTTP in async functions**: The tools use synchronous httpx in async functions. This matches ADK's own `RestApiTool` pattern. - **NDJSON parsing**: Malformed lines are skipped gracefully for better UX. diff --git a/pyproject.toml b/pyproject.toml index b9e3208..0a04109 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,9 +27,8 @@ dependencies = [ # go/keep-sorted start "google-genai>=1.21.1, <2.0.0", # Google GenAI SDK "google-adk", # Google ADK - "httpx>=0.27.0, <1.0.0", # For OpenMemory service + "httpx>=0.27.0, <1.0.0", # OpenMemory service and Goodmem client "redis>=5.0.0, <6.0.0", # Redis for session storage - "requests>=2.31.0, <3.0.0", # For Goodmem tools and plugin # go/keep-sorted end "orjson>=3.11.3", ] diff --git a/src/google/adk_community/plugins/goodmem/__init__.py b/src/google/adk_community/plugins/goodmem/__init__.py index 57513be..0870eaf 100644 --- a/src/google/adk_community/plugins/goodmem/__init__.py +++ b/src/google/adk_community/plugins/goodmem/__init__.py @@ -14,8 +14,10 @@ """Goodmem plugin module for ADK.""" +from .client import GoodmemClient from .goodmem_plugin import GoodmemChatPlugin __all__ = [ "GoodmemChatPlugin", + "GoodmemClient", ] diff --git a/src/google/adk_community/tools/goodmem/goodmem_client.py b/src/google/adk_community/plugins/goodmem/client.py similarity index 67% rename from src/google/adk_community/tools/goodmem/goodmem_client.py rename to src/google/adk_community/plugins/goodmem/client.py index bb9dc0c..f6e8a68 100644 --- a/src/google/adk_community/tools/goodmem/goodmem_client.py +++ b/src/google/adk_community/plugins/goodmem/client.py @@ -12,16 +12,18 @@ # See the License for the specific language governing permissions and # limitations under the License. -"""Goodmem API client for interacting with Goodmem.ai.""" +"""Goodmem API client for interacting with Goodmem.ai. + +Lives under plugins/goodmem and is shared: used by GoodmemChatPlugin and +re-exported for use by tools (goodmem_save, goodmem_fetch). Uses httpx for +HTTP calls. +""" import json -from typing import Any -from typing import Dict -from typing import List -from typing import Optional +from typing import Any, Dict, List, Optional from urllib.parse import quote -import requests +import httpx class GoodmemClient: @@ -40,8 +42,8 @@ def __init__(self, base_url: str, api_key: str, debug: bool = False) -> None: base_url: The base URL for the Goodmem API, without the /v1 suffix (e.g., "https://api.goodmem.ai"). api_key: The Goodmem API key for authentication. + debug: Whether to enable debug mode. """ - # Remove trailing slash if present to avoid double slashes in URLs self._base_url = base_url.rstrip("/") self._api_key = api_key self._headers = { @@ -49,6 +51,21 @@ def __init__(self, base_url: str, api_key: str, debug: bool = False) -> None: "Content-Type": "application/json", } self._debug = debug + self._client = httpx.Client( + base_url=self._base_url, + headers=self._headers, + timeout=30.0, + ) + + def close(self) -> None: + """Closes the underlying HTTP client.""" + self._client.close() + + def __enter__(self) -> "GoodmemClient": + return self + + def __exit__(self, *args: Any) -> None: + self.close() def _safe_json_dumps(self, value: Any) -> str: try: @@ -67,9 +84,10 @@ def create_space(self, space_name: str, embedder_id: str) -> Dict[str, Any]: The response JSON containing spaceId. Raises: - requests.exceptions.RequestException: If the API request fails. + httpx.HTTPStatusError: If the API request fails with an error status. + httpx.RequestError: If the request fails (e.g. connection, timeout). """ - url = f"{self._base_url}/v1/spaces" + url = "/v1/spaces" payload = { "name": space_name, "spaceEmbedders": [ @@ -84,9 +102,7 @@ def create_space(self, space_name: str, embedder_id: str) -> Dict[str, Any]: } }, } - response = requests.post( - url, json=payload, headers=self._headers, timeout=30 - ) + response = self._client.post(url, json=payload, timeout=30.0) response.raise_for_status() return response.json() @@ -109,9 +125,10 @@ def insert_memory( The response JSON containing memoryId and processingStatus. Raises: - requests.exceptions.RequestException: If the API request fails. + httpx.HTTPStatusError: If the API request fails with an error status. + httpx.RequestError: If the request fails. """ - url = f"{self._base_url}/v1/memories" + url = "/v1/memories" payload: Dict[str, Any] = { "spaceId": space_id, "originalContent": content, @@ -119,9 +136,7 @@ def insert_memory( } if metadata: payload["metadata"] = metadata - response = requests.post( - url, json=payload, headers=self._headers, timeout=30 - ) + response = self._client.post(url, json=payload, timeout=30.0) response.raise_for_status() return response.json() @@ -144,9 +159,10 @@ def insert_memory_binary( The response JSON containing memoryId and processingStatus. Raises: - requests.exceptions.RequestException: If the API request fails. + httpx.HTTPStatusError: If the API request fails with an error status. + httpx.RequestError: If the request fails. """ - url = f"{self._base_url}/v1/memories" + url = "/v1/memories" if self._debug: print("[DEBUG] insert_memory_binary called:") @@ -156,7 +172,6 @@ def insert_memory_binary( if metadata: print(f" - metadata:\n{self._safe_json_dumps(metadata)}") - # Build the JSON request metadata request_data: Dict[str, Any] = { "spaceId": space_id, "contentType": content_type, @@ -167,17 +182,14 @@ def insert_memory_binary( if self._debug: print(f"[DEBUG] request_data:\n{self._safe_json_dumps(request_data)}") - # Multipart form data: 'request' as form field, 'file' as file upload data = {"request": json.dumps(request_data)} files = {"file": ("upload", content_bytes, content_type)} - - # Use only API key header; requests will set Content-Type for multipart headers = {"x-api-key": self._api_key} if self._debug: print(f"[DEBUG] Making POST request to {url}") - response = requests.post( - url, data=data, files=files, headers=headers, timeout=120 + response = self._client.post( + url, data=data, files=files, headers=headers, timeout=120.0 ) if self._debug: print(f"[DEBUG] Response status: {response.status_code}") @@ -205,30 +217,30 @@ def retrieve_memories( List of matching chunks (parsed from NDJSON response). Raises: - requests.exceptions.RequestException: If the API request fails. + httpx.HTTPStatusError: If the API request fails with an error status. + httpx.RequestError: If the request fails. """ - url = f"{self._base_url}/v1/memories:retrieve" - headers = self._headers.copy() - headers["Accept"] = "application/x-ndjson" - + url = "/v1/memories:retrieve" + headers = {**self._headers, "Accept": "application/x-ndjson"} payload = { "message": query, - "spaceKeys": [{"spaceId": space_id} for space_id in space_ids], + "spaceKeys": [{"spaceId": sid} for sid in space_ids], "requestedSize": request_size, } - response = requests.post(url, json=payload, headers=headers, timeout=30) + response = self._client.post( + url, json=payload, headers=headers, timeout=30.0 + ) response.raise_for_status() - chunks = [] + chunks: List[Dict[str, Any]] = [] for line in response.text.strip().split("\n"): - if line.strip(): # Skip blank/empty lines + if line.strip(): try: tmp_dict = json.loads(line) if "retrievedItem" in tmp_dict: chunks.append(tmp_dict) except json.JSONDecodeError: - # Skip malformed lines (e.g., transmission errors) continue return chunks @@ -239,32 +251,28 @@ def list_spaces(self, name: Optional[str] = None) -> List[Dict[str, Any]]: List of spaces (optionally filtered by name). Raises: - requests.exceptions.RequestException: If the API request fails. + httpx.HTTPStatusError: If the API request fails with an error status. + httpx.RequestError: If the request fails. """ - url = f"{self._base_url}/v1/spaces" - - all_spaces = [] - next_token = None + url = "/v1/spaces" + all_spaces: List[Dict[str, Any]] = [] + next_token: Optional[str] = None max_results = 1000 while True: - # Build query parameters - params = {"maxResults": max_results} + params: Dict[str, Any] = {"maxResults": max_results} if next_token: params["nextToken"] = next_token if name: params["nameFilter"] = name - response = requests.get( - url, headers=self._headers, params=params, timeout=30 - ) + response = self._client.get(url, params=params, timeout=30.0) response.raise_for_status() data = response.json() spaces = data.get("spaces", []) all_spaces.extend(spaces) - # Check for next page next_token = data.get("nextToken") if not next_token: break @@ -278,10 +286,11 @@ def list_embedders(self) -> List[Dict[str, Any]]: List of embedders. Raises: - requests.exceptions.RequestException: If the API request fails. + httpx.HTTPStatusError: If the API request fails with an error status. + httpx.RequestError: If the request fails. """ - url = f"{self._base_url}/v1/embedders" - response = requests.get(url, headers=self._headers, timeout=30) + url = "/v1/embedders" + response = self._client.get(url, timeout=30.0) response.raise_for_status() return response.json().get("embedders", []) @@ -295,11 +304,37 @@ def get_memory_by_id(self, memory_id: str) -> Dict[str, Any]: The memory object including metadata, contentType, etc. Raises: - requests.exceptions.RequestException: If the API request fails. + httpx.HTTPStatusError: If the API request fails with an error status. + httpx.RequestError: If the request fails. """ - # URL-encode the memory_id to handle special characters encoded_memory_id = quote(memory_id, safe="") - url = f"{self._base_url}/v1/memories/{encoded_memory_id}" - response = requests.get(url, headers=self._headers, timeout=30) + url = f"/v1/memories/{encoded_memory_id}" + response = self._client.get(url, timeout=30.0) response.raise_for_status() return response.json() + + def get_memories_batch(self, memory_ids: List[str]) -> List[Dict[str, Any]]: + """Gets multiple memories by ID in a single request (batch get). + + Uses POST /v1/memories:batchGet to avoid N+1 queries when enriching + many chunks with full memory metadata. + + Args: + memory_ids: List of memory IDs to fetch. + + Returns: + List of memory objects (same shape as get_memory_by_id). Order and + presence may not match request; missing or failed IDs are omitted. + + Raises: + httpx.HTTPStatusError: If the API request fails with an error status. + httpx.RequestError: If the request fails. + """ + if not memory_ids: + return [] + url = "/v1/memories:batchGet" + payload = {"memoryIds": list(memory_ids)} + response = self._client.post(url, json=payload, timeout=30.0) + response.raise_for_status() + data = response.json() + return data.get("memories", []) diff --git a/src/google/adk_community/plugins/goodmem/goodmem_client.py b/src/google/adk_community/plugins/goodmem/goodmem_client.py deleted file mode 100644 index 4eefc6f..0000000 --- a/src/google/adk_community/plugins/goodmem/goodmem_client.py +++ /dev/null @@ -1,304 +0,0 @@ -# Copyright 2026 pairsys.ai (DBA Goodmem.ai) -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Goodmem API client for interacting with Goodmem.ai.""" - -import json -from typing import Any, Dict, List, Optional -from urllib.parse import quote - -import requests - - -class GoodmemClient: - """Client for interacting with the Goodmem API. - - Attributes: - _base_url: The base URL for the Goodmem API. - _api_key: The API key for authentication. - _headers: HTTP headers for API requests. - """ - - def __init__(self, base_url: str, api_key: str, debug: bool = False) -> None: - """Initializes the Goodmem client. - - Args: - base_url: The base URL for the Goodmem API, without the /v1 suffix - (e.g., "https://api.goodmem.ai"). - api_key: The Goodmem API key for authentication. - debug: Whether to enable debug mode. - """ - # Remove trailing slash if present to avoid double slashes in URLs - self._base_url = base_url.rstrip("/") - self._api_key = api_key - self._headers = { - "x-api-key": self._api_key, - "Content-Type": "application/json" - } - self._debug = debug - - def _safe_json_dumps(self, value: Any) -> str: - try: - return json.dumps(value, indent=2) - except (TypeError, ValueError): - return "" - - def create_space(self, space_name: str, embedder_id: str) -> Dict[str, Any]: - """Creates a new Goodmem space. - - Args: - space_name: The name of the space to create. - embedder_id: The embedder ID to use for the space. - - Returns: - The response JSON containing spaceId. - - Raises: - requests.exceptions.RequestException: If the API request fails. - """ - url = f"{self._base_url}/v1/spaces" - payload = { - "name": space_name, - "spaceEmbedders": [ - { - "embedderId": embedder_id, - "defaultRetrievalWeight": 1.0 - } - ], - "defaultChunkingConfig": { - "recursive": { - "chunkSize": 512, - "chunkOverlap": 64, - "keepStrategy": "KEEP_END", - "lengthMeasurement": "CHARACTER_COUNT" - } - } - } - response = requests.post(url, json=payload, headers=self._headers, timeout=30) - response.raise_for_status() - return response.json() - - def insert_memory( - self, - space_id: str, - content: str, - content_type: str = "text/plain", - metadata: Optional[Dict[str, Any]] = None, - ) -> Dict[str, Any]: - """Inserts a text memory into a Goodmem space. - - Args: - space_id: The ID of the space to insert into. - content: The content of the memory. - content_type: The content type (default: text/plain). - metadata: Optional metadata dict (e.g., session_id, user_id). - - Returns: - The response JSON containing memoryId and processingStatus. - - Raises: - requests.exceptions.RequestException: If the API request fails. - """ - url = f"{self._base_url}/v1/memories" - payload: Dict[str, Any] = { - "spaceId": space_id, - "originalContent": content, - "contentType": content_type - } - if metadata: - payload["metadata"] = metadata - response = requests.post(url, json=payload, headers=self._headers, timeout=30) - response.raise_for_status() - return response.json() - - def insert_memory_binary( - self, - space_id: str, - content_bytes: bytes, - content_type: str, - metadata: Optional[Dict[str, Any]] = None, - ) -> Dict[str, Any]: - """Inserts a binary memory into a Goodmem space using multipart upload. - - If debug is enabled, this method prints debug information to stdout. - - Args: - space_id: The ID of the space to insert into. - content_bytes: The raw binary content as bytes. - content_type: The MIME type (e.g., application/pdf, image/png). - metadata: Optional metadata dict (e.g., session_id, user_id, filename). - - Returns: - The response JSON containing memoryId and processingStatus. - - Raises: - requests.exceptions.RequestException: If the API request fails. - """ - url = f"{self._base_url}/v1/memories" - - if self._debug: - print("[DEBUG] insert_memory_binary called:") - print(f" - space_id: {space_id}") - print(f" - content_type: {content_type}") - print(f" - content_bytes length: {len(content_bytes)} bytes") - if metadata: - print(f" - metadata:\n{self._safe_json_dumps(metadata)}") - - # Build the JSON request metadata - request_data: Dict[str, Any] = { - "spaceId": space_id, - "contentType": content_type - } - if metadata: - request_data["metadata"] = metadata - - if self._debug: - print(f"[DEBUG] request_data:\n{self._safe_json_dumps(request_data)}") - - # Multipart form data: 'request' as form field, 'file' as file upload - data = {"request": json.dumps(request_data)} - files = {"file": ("upload", content_bytes, content_type)} - - # Use only API key header; requests will set Content-Type for multipart - headers = {"x-api-key": self._api_key} - - if self._debug: - print(f"[DEBUG] Making POST request to {url}") - response = requests.post( - url, data=data, files=files, headers=headers, timeout=120 - ) - if self._debug: - print(f"[DEBUG] Response status: {response.status_code}") - - response.raise_for_status() - result = response.json() - if self._debug: - print(f"[DEBUG] Response:\n{self._safe_json_dumps(result)}") - return result - - def retrieve_memories( - self, - query: str, - space_ids: List[str], - request_size: int = 5, - ) -> List[Dict[str, Any]]: - """Searches for chunks matching a query in given spaces. - - Args: - query: The search query message. - space_ids: List of space IDs to search in. - request_size: The number of chunks to retrieve. - - Returns: - List of matching chunks (parsed from NDJSON response). - - Raises: - requests.exceptions.RequestException: If the API request fails. - """ - url = f"{self._base_url}/v1/memories:retrieve" - headers = self._headers.copy() - headers["Accept"] = "application/x-ndjson" - - payload = { - "message": query, - "spaceKeys": [{"spaceId": space_id} for space_id in space_ids], - "requestedSize": request_size - } - - response = requests.post(url, json=payload, headers=headers, timeout=30) - response.raise_for_status() - - chunks = [] - for line in response.text.strip().split("\n"): - if line.strip(): # Skip blank/empty lines - try: - tmp_dict = json.loads(line) - if "retrievedItem" in tmp_dict: - chunks.append(tmp_dict) - except json.JSONDecodeError: - # Skip malformed lines (e.g., transmission errors) - continue - return chunks - - def list_spaces(self, name: Optional[str] = None) -> List[Dict[str, Any]]: - """Lists spaces, optionally filtering by name. - - Returns: - List of spaces (optionally filtered by name). - - Raises: - requests.exceptions.RequestException: If the API request fails. - """ - url = f"{self._base_url}/v1/spaces" - - all_spaces = [] - next_token = None - max_results = 1000 - - while True: - # Build query parameters - params = {"maxResults": max_results} - if next_token: - params["nextToken"] = next_token - if name: - params["nameFilter"] = name - - response = requests.get( - url, headers=self._headers, params=params, timeout=30 - ) - response.raise_for_status() - - data = response.json() - spaces = data.get("spaces", []) - all_spaces.extend(spaces) - - # Check for next page - next_token = data.get("nextToken") - if not next_token: - break - - return all_spaces - - def list_embedders(self) -> List[Dict[str, Any]]: - """Lists all embedders. - - Returns: - List of embedders. - - Raises: - requests.exceptions.RequestException: If the API request fails. - """ - url = f"{self._base_url}/v1/embedders" - response = requests.get(url, headers=self._headers, timeout=30) - response.raise_for_status() - return response.json().get("embedders", []) - - def get_memory_by_id(self, memory_id: str) -> Dict[str, Any]: - """Gets a memory by its ID. - - Args: - memory_id: The ID of the memory to retrieve. - - Returns: - The memory object including metadata, contentType, etc. - - Raises: - requests.exceptions.RequestException: If the API request fails. - """ - # URL-encode the memory_id to handle special characters - encoded_memory_id = quote(memory_id, safe="") - url = f"{self._base_url}/v1/memories/{encoded_memory_id}" - response = requests.get(url, headers=self._headers, timeout=30) - response.raise_for_status() - return response.json() diff --git a/src/google/adk_community/plugins/goodmem/goodmem_plugin.py b/src/google/adk_community/plugins/goodmem/goodmem_plugin.py index 475d4bf..2fa89be 100644 --- a/src/google/adk_community/plugins/goodmem/goodmem_plugin.py +++ b/src/google/adk_community/plugins/goodmem/goodmem_plugin.py @@ -21,6 +21,7 @@ from datetime import datetime, timezone from typing import Any, Dict, List, Optional, Union +import httpx from google.adk.agents.callback_context import CallbackContext from google.adk.agents.invocation_context import InvocationContext from google.adk.models.llm_request import LlmRequest @@ -28,7 +29,7 @@ from google.adk.runners import BasePlugin from google.genai import types -from .goodmem_client import GoodmemClient +from .client import GoodmemClient class GoodmemChatPlugin(BasePlugin): @@ -40,7 +41,7 @@ class GoodmemChatPlugin(BasePlugin): Attributes: debug: Whether debug mode is enabled. goodmem_client: The Goodmem API client. - embedder_id: The embedder ID used for the space. + embedder_id: The embedder ID used for the space (resolved on first use). top_k: Number of relevant entries to retrieve. """ @@ -55,18 +56,20 @@ def __init__( ) -> None: """Initializes the Goodmem Chat Plugin. + No network calls are made in the constructor. Embedder resolution and + validation are deferred until first use (e.g. when creating a chat space). + Args: base_url: The base URL for the Goodmem API. api_key: The API key for authentication. name: The name of the plugin. - embedder_id: The embedder ID to use. If not provided, will fetch the - first embedder from API. + embedder_id: The embedder ID to use. If not provided, the first + available embedder is used when first needed. top_k: The number of top-k most relevant entries to retrieve. debug: Whether to enable debug mode. Raises: ValueError: If base_url or api_key is None. - ValueError: If no embedders are available or embedder_id is invalid. """ super().__init__(name=name) @@ -87,6 +90,24 @@ def __init__( ) self.goodmem_client = GoodmemClient(base_url, api_key, debug=self.debug) + self._embedder_id = embedder_id + self._resolved_embedder_id: Optional[str] = None + self.top_k: int = top_k + + def _get_embedder_id(self) -> str: + """Returns the embedder ID, resolving and validating on first use. + + Fetches embedders from the API only when first needed (e.g. when + creating a new space). Result is cached for subsequent use. + + Returns: + The resolved embedder ID. + + Raises: + ValueError: If no embedders are available or embedder_id is invalid. + """ + if self._resolved_embedder_id is not None: + return self._resolved_embedder_id embedders = self.goodmem_client.list_embedders() if not embedders: @@ -95,23 +116,29 @@ def __init__( "embedder in Goodmem." ) - if embedder_id is None: - self.embedder_id = embedders[0].get("embedderId", None) + if self._embedder_id is None: + resolved = embedders[0].get("embedderId", None) else: - if embedder_id in [embedder.get("embedderId") for embedder in embedders]: - self.embedder_id = embedder_id + if self._embedder_id in [e.get("embedderId") for e in embedders]: + resolved = self._embedder_id else: raise ValueError( - f"EMBEDDER_ID {embedder_id} is not valid. Please provide a valid " - "embedder ID" + f"EMBEDDER_ID {self._embedder_id} is not valid. Please provide a " + "valid embedder ID" ) - if self.embedder_id is None: + if resolved is None: raise ValueError( "EMBEDDER_ID is not set and no embedders available in Goodmem." ) - self.top_k: int = top_k + self._resolved_embedder_id = resolved + return resolved + + @property + def embedder_id(self) -> str: + """Resolved embedder ID (validated on first access).""" + return self._get_embedder_id() def _is_mime_type_supported(self, mime_type: str) -> bool: """Checks if a MIME type is supported by Goodmem's TextContentExtractor. @@ -217,10 +244,10 @@ def _get_space_id( # Space doesn't exist, create it if self.debug: print(f"[DEBUG] {space_name} space not found, creating new one...") - if self.embedder_id is None: - raise ValueError("embedder_id is not set") - response = self.goodmem_client.create_space(space_name, self.embedder_id) + response = self.goodmem_client.create_space( + space_name, self._get_embedder_id() + ) space_id = response.get("spaceId") if space_id: @@ -232,7 +259,7 @@ def _get_space_id( return None - except Exception as e: + except httpx.HTTPError as e: if self.debug: print(f"[DEBUG] Error in _get_space_id: {e}") import traceback @@ -388,7 +415,7 @@ async def on_user_message_callback( return None - except Exception as e: + except httpx.HTTPError as e: if self.debug: print(f"[DEBUG] Error in on_user_message: {e}") import traceback @@ -407,7 +434,7 @@ def _format_timestamp(self, timestamp_ms: int) -> str: try: dt = datetime.fromtimestamp(timestamp_ms / 1000, tz=timezone.utc) return dt.strftime("%Y-%m-%dT%H:%M:%SZ") - except Exception: + except (ValueError, OSError, OverflowError): return str(timestamp_ms) def _format_chunk_context( @@ -464,7 +491,7 @@ def _format_timestamp_for_table(self, timestamp_ms: int) -> str: try: dt = datetime.fromtimestamp(timestamp_ms / 1000, tz=timezone.utc) return dt.strftime("%Y-%m-%d %H:%M") - except Exception: + except (ValueError, OSError, OverflowError): return str(timestamp_ms) def _wrap_content(self, content: str, max_width: int = 55) -> List[str]: @@ -611,7 +638,7 @@ async def before_model_callback( def get_chunk_data(item: Dict[str, Any]) -> Optional[Dict[str, Any]]: try: return item["retrievedItem"]["chunk"]["chunk"] - except Exception as e: + except (KeyError, TypeError) as e: if self.debug: print(f"[DEBUG] Error extracting chunk data: {e}") print(f"[DEBUG] Item structure: {item}") @@ -626,15 +653,19 @@ def get_chunk_data(item: Dict[str, Any]) -> Optional[Dict[str, Any]]: unique_memory_ids: set[str] = {mid for mid in unique_memory_ids_raw if mid is not None and isinstance(mid, str)} memory_metadata_cache: Dict[str, Dict[str, Any]] = {} - for memory_id in unique_memory_ids: - try: - full_memory = self.goodmem_client.get_memory_by_id(memory_id) - if full_memory: - memory_metadata_cache[memory_id] = full_memory.get("metadata", {}) - except Exception as e: - if self.debug: - print(f"[DEBUG] Failed to fetch metadata for memory " - f"{memory_id}: {e}") + try: + batch = self.goodmem_client.get_memories_batch(list(unique_memory_ids)) + for full_memory in batch: + mid = full_memory.get("memoryId") + if mid is not None: + memory_metadata_cache[mid] = full_memory.get("metadata", {}) + for memory_id in unique_memory_ids: + if memory_id not in memory_metadata_cache: + memory_metadata_cache[memory_id] = {} + except httpx.HTTPError as e: + if self.debug: + print(f"[DEBUG] Failed to batch-fetch metadata for memories: {e}") + for memory_id in unique_memory_ids: memory_metadata_cache[memory_id] = {} formatted_records: List[str] = [] @@ -728,7 +759,7 @@ def get_chunk_data(item: Dict[str, Any]) -> Optional[Dict[str, Any]]: return None - except Exception as e: + except httpx.HTTPError as e: if self.debug: print(f"[DEBUG] Error in before_model_callback: {e}") import traceback @@ -802,7 +833,7 @@ async def after_model_callback( return None - except Exception as e: + except httpx.HTTPError as e: if self.debug: print(f"[DEBUG] Error in after_model_callback: {e}") import traceback diff --git a/src/google/adk_community/tools/goodmem/__init__.py b/src/google/adk_community/tools/goodmem/__init__.py index d144748..a715109 100644 --- a/src/google/adk_community/tools/goodmem/__init__.py +++ b/src/google/adk_community/tools/goodmem/__init__.py @@ -14,7 +14,7 @@ """Goodmem tools module for ADK.""" -from .goodmem_client import GoodmemClient +from google.adk_community.plugins.goodmem import GoodmemClient from .goodmem_tools import goodmem_fetch from .goodmem_tools import goodmem_save from .goodmem_tools import GoodmemFetchResponse diff --git a/src/google/adk_community/tools/goodmem/goodmem_tools.py b/src/google/adk_community/tools/goodmem/goodmem_tools.py index 549384b..0815ac2 100644 --- a/src/google/adk_community/tools/goodmem/goodmem_tools.py +++ b/src/google/adk_community/tools/goodmem/goodmem_tools.py @@ -36,9 +36,9 @@ from pydantic import BaseModel from pydantic import Field from pydantic import JsonValue -import requests +import httpx -from .goodmem_client import GoodmemClient +from google.adk_community.plugins.goodmem import GoodmemClient # ============================================================================ # HELPER FUNCTIONS @@ -48,10 +48,6 @@ _client_cache: Dict[tuple[str, str, bool], GoodmemClient] = {} _client_cache_lock = threading.Lock() -# Module-level debug flag (set by tool instances) -_tool_debug = False - - class DebugRecord(TypedDict): """Record used for debug table rendering.""" @@ -260,6 +256,7 @@ def _get_or_create_space( client: GoodmemClient, tool_context: ToolContext, embedder_id: Optional[str] = None, + debug: bool = False, ) -> tuple[Optional[str], Optional[str]]: """Get or create Goodmem space for the current user. @@ -271,6 +268,7 @@ def _get_or_create_space( tool_context: The tool context with user_id and session state. embedder_id: Optional embedder ID to use when creating a new space. If None, uses the first available embedder. + debug: Whether to print debug messages. Returns: Tuple of (space_id, error_message). error_message is None on success. @@ -278,7 +276,7 @@ def _get_or_create_space( # Check cache first cached_space_id = tool_context.state.get("_goodmem_space_id") if cached_space_id: - if _tool_debug: + if debug: print( "[DEBUG] Using cached Goodmem space_id from session state: " f"{cached_space_id}" @@ -290,7 +288,7 @@ def _get_or_create_space( try: # Search for existing space - if _tool_debug: + if debug: print(f"[DEBUG] Checking for existing space: {space_name}") spaces = client.list_spaces(name=space_name) for space in spaces: @@ -298,7 +296,7 @@ def _get_or_create_space( space_id = space["spaceId"] # Cache it for future calls tool_context.state["_goodmem_space_id"] = space_id - if _tool_debug: + if debug: print(f"[DEBUG] Found existing space: {space_id}") return (space_id, None) @@ -324,7 +322,7 @@ def _get_or_create_space( embedder_id = embedders[0]["embedderId"] # Create the space - if _tool_debug: + if debug: print( "[DEBUG] Creating Goodmem space " f"{space_name} with embedder_id={embedder_id}" @@ -334,16 +332,14 @@ def _get_or_create_space( # Cache it tool_context.state["_goodmem_space_id"] = space_id - if _tool_debug: + if debug: print(f"[DEBUG] Created new Goodmem space: {space_id}") return (space_id, None) - except requests.exceptions.HTTPError as e: - status_code = ( - e.response.status_code if hasattr(e, "response") and e.response else None - ) + except httpx.HTTPStatusError as e: + status_code = e.response.status_code if status_code == 409: - if _tool_debug: + if debug: print( "[DEBUG] Space already exists; re-fetching space ID after conflict" ) @@ -353,24 +349,24 @@ def _get_or_create_space( if space.get("name") == space_name: space_id = space["spaceId"] tool_context.state["_goodmem_space_id"] = space_id - if _tool_debug: + if debug: print( "[DEBUG] Found existing space after conflict: " f"{space_id}" ) return (space_id, None) except Exception as list_error: - if _tool_debug: + if debug: print( "[DEBUG] Error re-fetching space after conflict: " f"{list_error}" ) - if _tool_debug: + if debug: print(f"[DEBUG] Error getting or creating space: {e}") return (None, f"Error getting or creating space: {str(e)}") except Exception as e: - if _tool_debug: + if debug: print(f"[DEBUG] Error getting or creating space: {e}") return (None, f"Error getting or creating space: {str(e)}") @@ -398,6 +394,7 @@ async def goodmem_save( base_url: Optional[str] = None, api_key: Optional[str] = None, embedder_id: Optional[str] = None, + debug: bool = False, ) -> GoodmemSaveResponse: """Saves important information to persistent memory storage. @@ -424,7 +421,7 @@ async def goodmem_save( Returns: A GoodmemSaveResponse containing the operation status and memory ID. """ - if _tool_debug: + if debug: print("[DEBUG] goodmem_save called") if not base_url: @@ -456,18 +453,18 @@ async def goodmem_save( try: # Get cached Goodmem client - client = _get_client(base_url=base_url, api_key=api_key, debug=_tool_debug) + client = _get_client(base_url=base_url, api_key=api_key, debug=debug) # Get or create space for this user space_id, error = _get_or_create_space( - client, tool_context, embedder_id=embedder_id + client, tool_context, embedder_id=embedder_id, debug=debug ) if error: - if _tool_debug: + if debug: print(f"[DEBUG] Failed to get or create space: {error}") return GoodmemSaveResponse(success=False, message=error) if space_id is None: - if _tool_debug: + if debug: print("[DEBUG] No space_id returned, aborting dump") return GoodmemSaveResponse( success=False, message="Failed to get or create space" @@ -490,7 +487,7 @@ async def goodmem_save( metadata["session_id"] = tool_context.session.id # Insert memory into Goodmem - if _tool_debug: + if debug: print(f"[DEBUG] Inserting memory into space {space_id}") response = client.insert_memory( space_id=space_id, @@ -500,7 +497,7 @@ async def goodmem_save( ) memory_id = response.get("memoryId") - if _tool_debug: + if debug: print(f"[DEBUG] Goodmem insert response memory_id={memory_id}") return GoodmemSaveResponse( @@ -510,12 +507,10 @@ async def goodmem_save( ) except Exception as e: - import requests - error_msg = str(e) # Determine specific error type - if isinstance(e, requests.exceptions.ConnectionError): + if isinstance(e, httpx.ConnectError): return GoodmemSaveResponse( success=False, message=( @@ -524,7 +519,7 @@ async def goodmem_save( f"Details: {error_msg}" ), ) - elif isinstance(e, requests.exceptions.Timeout): + elif isinstance(e, httpx.TimeoutException): return GoodmemSaveResponse( success=False, message=( @@ -532,10 +527,8 @@ async def goodmem_save( "Please check your connection or server status." ), ) - elif isinstance(e, requests.exceptions.HTTPError): - status_code = ( - e.response.status_code if hasattr(e, "response") else "unknown" - ) + elif isinstance(e, httpx.HTTPStatusError): + status_code = e.response.status_code if status_code in (401, 403): return GoodmemSaveResponse( success=False, @@ -594,8 +587,6 @@ def __init__( self._api_key = api_key self._embedder_id = embedder_id self._debug = debug - global _tool_debug - _tool_debug = debug # Create a wrapper function that passes the stored config # We need to preserve the function signature for FunctionTool introspection @@ -609,6 +600,7 @@ async def _wrapped_save( base_url=self._base_url, api_key=self._api_key, embedder_id=self._embedder_id, + debug=self._debug, ) # Preserve function metadata for FunctionTool introspection @@ -616,7 +608,7 @@ async def _wrapped_save( original_sig = inspect.signature(goodmem_save) params = [] for name, param in original_sig.parameters.items(): - if name not in ("base_url", "api_key", "embedder_id"): + if name not in ("base_url", "api_key", "embedder_id", "debug"): params.append(param) setattr( _wrapped_save, @@ -671,6 +663,7 @@ async def goodmem_fetch( base_url: Optional[str] = None, api_key: Optional[str] = None, embedder_id: Optional[str] = None, + debug: bool = False, ) -> GoodmemFetchResponse: """Searches for relevant memories using semantic search. @@ -703,7 +696,7 @@ async def goodmem_fetch( Returns: A GoodmemFetchResponse containing the retrieved memories and metadata. """ - if _tool_debug: + if debug: print(f"[DEBUG] goodmem_fetch called query='{query}' top_k={top_k}") # top_k validation @@ -741,32 +734,32 @@ async def goodmem_fetch( try: # Get cached Goodmem client - client = _get_client(base_url=base_url, api_key=api_key, debug=_tool_debug) + client = _get_client(base_url=base_url, api_key=api_key, debug=debug) # Get or create space for this user space_id, error = _get_or_create_space( - client, tool_context, embedder_id=embedder_id + client, tool_context, embedder_id=embedder_id, debug=debug ) if error: - if _tool_debug: + if debug: print(f"[DEBUG] Failed to get or create space: {error}") return GoodmemFetchResponse(success=False, message=error) if space_id is None: - if _tool_debug: + if debug: print("[DEBUG] No space_id returned, aborting fetch") return GoodmemFetchResponse( success=False, message="Failed to get or create space" ) # Retrieve memories using semantic search - if _tool_debug: + if debug: print(f"[DEBUG] Retrieving memories from space {space_id}") chunks = client.retrieve_memories( query=query, space_ids=[space_id], request_size=top_k ) if not chunks: - if _tool_debug: + if debug: print("[DEBUG] No chunks retrieved from Goodmem") return GoodmemFetchResponse( success=True, @@ -785,7 +778,7 @@ async def goodmem_fetch( continue chunk_data_list.append(chunk_data) memory_ids.add(chunk_data["memoryId"]) - if _tool_debug: + if debug: print( "[DEBUG] Retrieved " f"{len(chunk_data_list)} chunks, {len(memory_ids)} unique memory IDs" @@ -846,7 +839,7 @@ async def goodmem_fetch( ) # Format debug table if debug mode is enabled - if _tool_debug and memories: + if debug and memories: debug_records: List[DebugRecord] = [] for memory in memories: role = memory_roles.get(memory.memory_id, "user") @@ -868,12 +861,10 @@ async def goodmem_fetch( ) except Exception as e: - import requests - error_msg = str(e) # Determine specific error type - if isinstance(e, requests.exceptions.ConnectionError): + if isinstance(e, httpx.ConnectError): return GoodmemFetchResponse( success=False, message=( @@ -882,7 +873,7 @@ async def goodmem_fetch( f"Details: {error_msg}" ), ) - elif isinstance(e, requests.exceptions.Timeout): + elif isinstance(e, httpx.TimeoutException): return GoodmemFetchResponse( success=False, message=( @@ -890,10 +881,8 @@ async def goodmem_fetch( "Please check your connection or server status." ), ) - elif isinstance(e, requests.exceptions.HTTPError): - status_code = ( - e.response.status_code if hasattr(e, "response") else "unknown" - ) + elif isinstance(e, httpx.HTTPStatusError): + status_code = e.response.status_code if status_code in (401, 403): return GoodmemFetchResponse( success=False, @@ -955,8 +944,6 @@ def __init__( self._embedder_id = embedder_id self._top_k = top_k self._debug = debug - global _tool_debug - _tool_debug = debug # Create a wrapper function that uses instance top_k as default # We need a wrapper because top_k needs to use self._top_k as default @@ -975,6 +962,7 @@ async def _wrapped_fetch( base_url=self._base_url, api_key=self._api_key, embedder_id=self._embedder_id, + debug=self._debug, ) # Preserve function metadata for FunctionTool introspection @@ -982,7 +970,7 @@ async def _wrapped_fetch( original_sig = inspect.signature(goodmem_fetch) params = [] for name, param in original_sig.parameters.items(): - if name not in ("base_url", "api_key", "embedder_id"): + if name not in ("base_url", "api_key", "embedder_id", "debug"): # Update top_k default to use instance default if name == "top_k": params.append(param.replace(default=self._top_k)) diff --git a/tests/unittests/plugins/test_goodmem_plugin.py b/tests/unittests/plugins/test_goodmem_plugin.py index 6da22c8..4e14d78 100644 --- a/tests/unittests/plugins/test_goodmem_plugin.py +++ b/tests/unittests/plugins/test_goodmem_plugin.py @@ -15,10 +15,11 @@ import json from unittest.mock import AsyncMock, MagicMock, call, patch +import httpx import pytest from google.genai import types -from google.adk_community.plugins.goodmem.goodmem_client import GoodmemClient +from google.adk_community.plugins.goodmem import GoodmemClient from google.adk_community.plugins.goodmem.goodmem_plugin import GoodmemChatPlugin @@ -38,13 +39,15 @@ class TestGoodmemClient: @pytest.fixture - def mock_requests(self) -> MagicMock: - """Mock requests library for testing.""" - with patch('google.adk_community.plugins.goodmem.goodmem_client.requests') as mock_req: - yield mock_req + def mock_httpx_client(self) -> MagicMock: + """Mock httpx.Client for testing.""" + with patch('google.adk_community.plugins.goodmem.client.httpx') as mock_httpx: + mock_client = MagicMock() + mock_httpx.Client.return_value = mock_client + yield mock_client @pytest.fixture - def goodmem_client(self) -> GoodmemClient: + def goodmem_client(self, mock_httpx_client: MagicMock) -> GoodmemClient: """Create GoodmemClient instance for testing.""" return GoodmemClient(base_url=MOCK_BASE_URL, api_key=MOCK_API_KEY) @@ -55,23 +58,23 @@ def test_client_initialization(self, goodmem_client: GoodmemClient) -> None: assert goodmem_client._headers["x-api-key"] == MOCK_API_KEY assert goodmem_client._headers["Content-Type"] == "application/json" - def test_create_space(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + def test_create_space(self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock) -> None: """Test creating a new space.""" mock_response = MagicMock() mock_response.json.return_value = {"spaceId": MOCK_SPACE_ID} mock_response.raise_for_status = MagicMock() - mock_requests.post.return_value = mock_response + mock_httpx_client.post.return_value = mock_response result = goodmem_client.create_space(MOCK_SPACE_NAME, MOCK_EMBEDDER_ID) assert result["spaceId"] == MOCK_SPACE_ID - mock_requests.post.assert_called_once() - call_args = mock_requests.post.call_args - assert call_args.args[0] == f"{MOCK_BASE_URL}/v1/spaces" + mock_httpx_client.post.assert_called_once() + call_args = mock_httpx_client.post.call_args + assert call_args.args[0] == "/v1/spaces" assert call_args.kwargs["json"]["name"] == MOCK_SPACE_NAME assert call_args.kwargs["json"]["spaceEmbedders"][0]["embedderId"] == MOCK_EMBEDDER_ID - def test_insert_memory(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + def test_insert_memory(self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock) -> None: """Test inserting a text memory.""" mock_response = MagicMock() mock_response.json.return_value = { @@ -79,7 +82,7 @@ def test_insert_memory(self, goodmem_client: GoodmemClient, mock_requests: Magic "processingStatus": "COMPLETED" } mock_response.raise_for_status = MagicMock() - mock_requests.post.return_value = mock_response + mock_httpx_client.post.return_value = mock_response content = "Test memory content" metadata = {"session_id": MOCK_SESSION_ID, "user_id": MOCK_USER_ID} @@ -88,14 +91,14 @@ def test_insert_memory(self, goodmem_client: GoodmemClient, mock_requests: Magic ) assert result["memoryId"] == MOCK_MEMORY_ID - mock_requests.post.assert_called_once() - call_args = mock_requests.post.call_args - assert call_args.args[0] == f"{MOCK_BASE_URL}/v1/memories" + mock_httpx_client.post.assert_called_once() + call_args = mock_httpx_client.post.call_args + assert call_args.args[0] == "/v1/memories" assert call_args.kwargs["json"]["spaceId"] == MOCK_SPACE_ID assert call_args.kwargs["json"]["originalContent"] == content assert call_args.kwargs["json"]["metadata"] == metadata - def test_insert_memory_binary(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + def test_insert_memory_binary(self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock) -> None: """Test inserting a binary memory using multipart upload.""" mock_response = MagicMock() mock_response.json.return_value = { @@ -103,7 +106,7 @@ def test_insert_memory_binary(self, goodmem_client: GoodmemClient, mock_requests "processingStatus": "COMPLETED" } mock_response.raise_for_status = MagicMock() - mock_requests.post.return_value = mock_response + mock_httpx_client.post.return_value = mock_response file_bytes = b"test file content" metadata = {"filename": "test.pdf", "user_id": MOCK_USER_ID} @@ -113,8 +116,8 @@ def test_insert_memory_binary(self, goodmem_client: GoodmemClient, mock_requests ) assert result["memoryId"] == MOCK_MEMORY_ID - mock_requests.post.assert_called_once() - call_args = mock_requests.post.call_args + mock_httpx_client.post.assert_called_once() + call_args = mock_httpx_client.post.call_args # Verify multipart form data was used assert "data" in call_args.kwargs @@ -134,7 +137,7 @@ def test_insert_memory_binary(self, goodmem_client: GoodmemClient, mock_requests assert files["file"][1] == file_bytes assert files["file"][2] == "application/pdf" - def test_retrieve_memories(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + def test_retrieve_memories(self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock) -> None: """Test retrieving memories.""" mock_response = MagicMock() # Simulate NDJSON response @@ -145,7 +148,7 @@ def test_retrieve_memories(self, goodmem_client: GoodmemClient, mock_requests: M ] mock_response.text = "\n".join(ndjson_lines) mock_response.raise_for_status = MagicMock() - mock_requests.post.return_value = mock_response + mock_httpx_client.post.return_value = mock_response query = "test query" space_ids = [MOCK_SPACE_ID] @@ -153,12 +156,12 @@ def test_retrieve_memories(self, goodmem_client: GoodmemClient, mock_requests: M assert len(result) == 2 # Only items with retrievedItem assert result[0]["retrievedItem"]["chunk"]["chunk"]["chunkText"] == "chunk 1" - mock_requests.post.assert_called_once() - call_args = mock_requests.post.call_args + mock_httpx_client.post.assert_called_once() + call_args = mock_httpx_client.post.call_args assert call_args.kwargs["json"]["message"] == query assert call_args.kwargs["json"]["requestedSize"] == 5 - def test_list_spaces(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + def test_list_spaces(self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock) -> None: """Test getting all spaces.""" mock_response = MagicMock() mock_response.json.return_value = { @@ -168,21 +171,20 @@ def test_list_spaces(self, goodmem_client: GoodmemClient, mock_requests: MagicMo ] } mock_response.raise_for_status = MagicMock() - mock_requests.get.return_value = mock_response + mock_httpx_client.get.return_value = mock_response result = goodmem_client.list_spaces() assert len(result) == 2 assert result[0]["name"] == "Space 1" - mock_requests.get.assert_called_once_with( - f"{MOCK_BASE_URL}/v1/spaces", - headers=goodmem_client._headers, + mock_httpx_client.get.assert_called_once_with( + "/v1/spaces", params={"maxResults": 1000}, - timeout=30 + timeout=30.0, ) def test_list_spaces_with_name_filter( - self, goodmem_client: GoodmemClient, mock_requests: MagicMock + self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock ) -> None: """Test filtering spaces by name.""" mock_response = MagicMock() @@ -192,20 +194,19 @@ def test_list_spaces_with_name_filter( ] } mock_response.raise_for_status = MagicMock() - mock_requests.get.return_value = mock_response + mock_httpx_client.get.return_value = mock_response result = goodmem_client.list_spaces(name=MOCK_SPACE_NAME) assert len(result) == 1 assert result[0]["name"] == "adk_chat_test_user" - mock_requests.get.assert_called_once_with( - f"{MOCK_BASE_URL}/v1/spaces", - headers=goodmem_client._headers, + mock_httpx_client.get.assert_called_once_with( + "/v1/spaces", params={"maxResults": 1000, "nameFilter": MOCK_SPACE_NAME}, - timeout=30 + timeout=30.0, ) - def test_list_embedders(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + def test_list_embedders(self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock) -> None: """Test listing embedders.""" mock_response = MagicMock() mock_response.json.return_value = { @@ -215,19 +216,18 @@ def test_list_embedders(self, goodmem_client: GoodmemClient, mock_requests: Magi ] } mock_response.raise_for_status = MagicMock() - mock_requests.get.return_value = mock_response + mock_httpx_client.get.return_value = mock_response result = goodmem_client.list_embedders() assert len(result) == 2 assert result[0]["embedderId"] == "emb1" - mock_requests.get.assert_called_once_with( - f"{MOCK_BASE_URL}/v1/embedders", - headers=goodmem_client._headers, - timeout=30 + mock_httpx_client.get.assert_called_once_with( + "/v1/embedders", + timeout=30.0, ) - def test_get_memory_by_id(self, goodmem_client: GoodmemClient, mock_requests: MagicMock) -> None: + def test_get_memory_by_id(self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock) -> None: """Test getting a memory by ID.""" mock_response = MagicMock() mock_response.json.return_value = { @@ -235,20 +235,52 @@ def test_get_memory_by_id(self, goodmem_client: GoodmemClient, mock_requests: Ma "metadata": {"user_id": MOCK_USER_ID} } mock_response.raise_for_status = MagicMock() - mock_requests.get.return_value = mock_response + mock_httpx_client.get.return_value = mock_response result = goodmem_client.get_memory_by_id(MOCK_MEMORY_ID) assert result["memoryId"] == MOCK_MEMORY_ID assert result["metadata"]["user_id"] == MOCK_USER_ID from urllib.parse import quote - encoded_memory_id = quote(MOCK_MEMORY_ID, safe='') - mock_requests.get.assert_called_once_with( - f"{MOCK_BASE_URL}/v1/memories/{encoded_memory_id}", - headers=goodmem_client._headers, - timeout=30 + encoded_memory_id = quote(MOCK_MEMORY_ID, safe="") + mock_httpx_client.get.assert_called_once_with( + f"/v1/memories/{encoded_memory_id}", + timeout=30.0, ) + def test_get_memories_batch( + self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test batch get of memories (POST /v1/memories:batchGet).""" + mock_response = MagicMock() + mock_response.json.return_value = { + "memories": [ + {"memoryId": "mem1", "metadata": {"role": "user"}}, + {"memoryId": "mem2", "metadata": {"role": "LLM"}}, + ] + } + mock_response.raise_for_status = MagicMock() + mock_httpx_client.post.return_value = mock_response + + result = goodmem_client.get_memories_batch(["mem1", "mem2"]) + + assert len(result) == 2 + assert result[0]["memoryId"] == "mem1" + assert result[0]["metadata"]["role"] == "user" + assert result[1]["memoryId"] == "mem2" + mock_httpx_client.post.assert_called_once() + call_args = mock_httpx_client.post.call_args + assert call_args.args[0] == "/v1/memories:batchGet" + assert set(call_args.kwargs["json"]["memoryIds"]) == {"mem1", "mem2"} + + def test_get_memories_batch_empty( + self, goodmem_client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test get_memories_batch with empty list does not call API.""" + result = goodmem_client.get_memories_batch([]) + assert result == [] + mock_httpx_client.post.assert_not_called() + class TestGoodmemChatPlugin: """Tests for GoodmemChatPlugin.""" @@ -286,12 +318,17 @@ def mock_goodmem_client(self) -> MagicMock: # Mock retrieve_memories mock_client.retrieve_memories.return_value = [] - # Mock get_memory_by_id + # Mock get_memory_by_id (used by tools / single fetch) mock_client.get_memory_by_id.return_value = { "memoryId": MOCK_MEMORY_ID, "metadata": {"user_id": MOCK_USER_ID, "role": "user"} } + # Mock get_memories_batch (used by before_model_callback for metadata) + mock_client.get_memories_batch.return_value = [ + {"memoryId": MOCK_MEMORY_ID, "metadata": {"user_id": MOCK_USER_ID, "role": "user"}} + ] + mock_client_class.return_value = mock_client yield mock_client @@ -324,23 +361,34 @@ def test_plugin_initialization_no_embedder_id(self, mock_goodmem_client: MagicMo assert plugin.embedder_id == MOCK_EMBEDDER_ID def test_plugin_initialization_no_embedders_fails(self, mock_goodmem_client: MagicMock) -> None: - """Test plugin initialization fails when no embedders available.""" + """Test that embedder resolution fails when no embedders available.""" mock_goodmem_client.list_embedders.return_value = [] + plugin = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY + ) with pytest.raises(ValueError, match="No embedders available"): - GoodmemChatPlugin( - base_url=MOCK_BASE_URL, - api_key=MOCK_API_KEY - ) + plugin._get_embedder_id() def test_plugin_initialization_invalid_embedder_fails(self, mock_goodmem_client: MagicMock) -> None: - """Test plugin initialization fails with invalid embedder_id.""" + """Test that embedder resolution fails with invalid embedder_id.""" + plugin = GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id="invalid-embedder-id" + ) with pytest.raises(ValueError, match="is not valid"): - GoodmemChatPlugin( - base_url=MOCK_BASE_URL, - api_key=MOCK_API_KEY, - embedder_id="invalid-embedder-id" - ) + plugin._get_embedder_id() + + def test_plugin_initialization_no_network_call(self, mock_goodmem_client: MagicMock) -> None: + """Test that __init__ does not call list_embedders (lazy resolution).""" + GoodmemChatPlugin( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + ) + mock_goodmem_client.list_embedders.assert_not_called() def test_plugin_initialization_requires_base_url(self) -> None: """Test plugin initialization requires base_url.""" @@ -606,14 +654,14 @@ async def test_on_user_message_error_handling(self, chat_plugin: GoodmemChatPlug mock_context = MagicMock() mock_context.user_id = MOCK_USER_ID - mock_goodmem_client.insert_memory.side_effect = Exception("API Error") + mock_goodmem_client.insert_memory.side_effect = httpx.RequestError("API Error") user_message = types.Content( role="user", parts=[types.Part(text="Test message")] ) - # Should not raise exception + # Should not raise; plugin catches httpx.HTTPError and returns None result = await chat_plugin.on_user_message_callback( invocation_context=mock_context, user_message=user_message @@ -704,7 +752,7 @@ def test_format_chunk_context(self, chat_plugin: GoodmemChatPlugin) -> None: @pytest.mark.asyncio async def test_before_model_callback_augments_request(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: - """Test before_model_callback augments LLM request with memory.""" + """Test before_model_callback augments LLM request with memory (uses batch get).""" mock_context = MagicMock() mock_context.user_id = MOCK_USER_ID @@ -724,10 +772,9 @@ async def test_before_model_callback_augments_request(self, chat_plugin: Goodmem } ] - mock_goodmem_client.get_memory_by_id.return_value = { - "memoryId": "mem1", - "metadata": {"role": "user"} - } + mock_goodmem_client.get_memories_batch.return_value = [ + {"memoryId": "mem1", "metadata": {"role": "user"}} + ] # Create LLM request mock_request = MagicMock() @@ -742,12 +789,71 @@ async def test_before_model_callback_augments_request(self, chat_plugin: Goodmem llm_request=mock_request ) + # Verify batch get was called once with the memory id (no N+1) + mock_goodmem_client.get_memories_batch.assert_called_once() + call_args = mock_goodmem_client.get_memories_batch.call_args + assert set(call_args[0][0]) == {"mem1"} + # Verify request was augmented assert "BEGIN MEMORY" in mock_part.text assert "END MEMORY" in mock_part.text assert "Previous conversation" in mock_part.text assert result is None + @pytest.mark.asyncio + async def test_before_model_callback_batch_get_multiple_memories( + self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock + ) -> None: + """Test before_model_callback uses single batch get for multiple memory IDs (no N+1).""" + mock_context = MagicMock() + mock_context.user_id = MOCK_USER_ID + + # Two chunks from two different memories + mock_goodmem_client.retrieve_memories.return_value = [ + { + "retrievedItem": { + "chunk": { + "chunk": { + "memoryId": "mem1", + "chunkText": "User: First message", + "updatedAt": 1768694400000, + } + } + } + }, + { + "retrievedItem": { + "chunk": { + "chunk": { + "memoryId": "mem2", + "chunkText": "LLM: Second response", + "updatedAt": 1768694401000, + } + } + } + }, + ] + mock_goodmem_client.get_memories_batch.return_value = [ + {"memoryId": "mem1", "metadata": {"role": "user"}}, + {"memoryId": "mem2", "metadata": {"role": "LLM"}}, + ] + + mock_request = MagicMock() + mock_part = MagicMock() + mock_part.text = "Current query" + mock_request.contents = [MagicMock(parts=[mock_part])] + + await chat_plugin.before_model_callback( + callback_context=mock_context, + llm_request=mock_request, + ) + + # Single batch call with both IDs (no N+1) + mock_goodmem_client.get_memories_batch.assert_called_once() + call_args = mock_goodmem_client.get_memories_batch.call_args + assert set(call_args[0][0]) == {"mem1", "mem2"} + mock_goodmem_client.get_memory_by_id.assert_not_called() + @pytest.mark.asyncio async def test_before_model_callback_no_chunks(self, chat_plugin: GoodmemChatPlugin, mock_goodmem_client: MagicMock) -> None: """Test before_model_callback when no chunks are retrieved.""" @@ -803,7 +909,7 @@ async def test_before_model_callback_error_handling(self, chat_plugin: GoodmemCh mock_context.user_id = MOCK_USER_ID mock_context.state = {'_goodmem_space_id': MOCK_SPACE_ID} - mock_goodmem_client.retrieve_memories.side_effect = Exception("API Error") + mock_goodmem_client.retrieve_memories.side_effect = httpx.RequestError("API Error") mock_request = MagicMock() mock_content = MagicMock() @@ -891,14 +997,14 @@ async def test_after_model_callback_error_handling(self, chat_plugin: GoodmemCha mock_context.session.id = MOCK_SESSION_ID mock_context.state = {'_goodmem_space_id': MOCK_SPACE_ID} - mock_goodmem_client.insert_memory.side_effect = Exception("API Error") + mock_goodmem_client.insert_memory.side_effect = httpx.RequestError("API Error") mock_response = MagicMock() mock_content = MagicMock() mock_content.text = "Response text" mock_response.content = mock_content - # Should not raise exception + # Should not raise; plugin catches httpx.HTTPError and returns None result = await chat_plugin.after_model_callback( callback_context=mock_context, llm_response=mock_response @@ -1145,13 +1251,9 @@ def track_insert(space_id, content, *args, **kwargs): mock_goodmem_client.insert_memory.side_effect = track_insert - # Simulate async delay (where race condition occurs) - async def slow_retrieve(*args, **kwargs): - await asyncio.sleep(0.01) # Simulate network delay - return [] - - # Use AsyncMock to properly handle the async function - mock_goodmem_client.retrieve_memories = AsyncMock(side_effect=slow_retrieve) + # retrieve_memories is called synchronously by the plugin; return [] so + # before_model_callback completes without error + mock_goodmem_client.retrieve_memories.return_value = [] # Alice's context and response alice_context = MagicMock() diff --git a/tests/unittests/tools/test_goodmem_tools.py b/tests/unittests/tools/test_goodmem_tools.py index e49e090..562bee5 100644 --- a/tests/unittests/tools/test_goodmem_tools.py +++ b/tests/unittests/tools/test_goodmem_tools.py @@ -18,10 +18,10 @@ from unittest.mock import patch import pytest -import requests +import httpx +from google.adk_community.plugins.goodmem import GoodmemClient from google.adk_community.tools.goodmem import goodmem_tools -from google.adk_community.tools.goodmem.goodmem_client import GoodmemClient from google.adk_community.tools.goodmem.goodmem_tools import _format_debug_table from google.adk_community.tools.goodmem.goodmem_tools import _format_timestamp_for_table from google.adk_community.tools.goodmem.goodmem_tools import _wrap_content @@ -130,8 +130,8 @@ async def test_save_connection_error(self, mock_config, mock_tool_context): mock_client.list_spaces.return_value = [ {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} ] - mock_client.insert_memory.side_effect = ( - requests.exceptions.ConnectionError('Connection failed') + mock_client.insert_memory.side_effect = httpx.ConnectError( + 'Connection failed' ) response = await goodmem_save( @@ -155,7 +155,9 @@ async def test_save_http_error_401(self, mock_config, mock_tool_context): mock_client.list_spaces.return_value = [ {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} ] - mock_error = requests.exceptions.HTTPError() + mock_error = httpx.HTTPStatusError( + '401', request=MagicMock(), response=MagicMock() + ) mock_error.response = MagicMock() mock_error.response.status_code = 401 mock_client.insert_memory.side_effect = mock_error @@ -181,7 +183,9 @@ async def test_save_http_error_404(self, mock_config, mock_tool_context): mock_client.list_spaces.return_value = [ {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} ] - mock_error = requests.exceptions.HTTPError() + mock_error = httpx.HTTPStatusError( + '404', request=MagicMock(), response=MagicMock() + ) mock_error.response = MagicMock() mock_error.response.status_code = 404 mock_client.insert_memory.side_effect = mock_error @@ -258,7 +262,9 @@ async def test_save_space_create_conflict_reuses_existing( mock_client.list_embedders.return_value = [ {'embedderId': 'embedder-1', 'name': 'Test Embedder'} ] - conflict_error = requests.exceptions.HTTPError() + conflict_error = httpx.HTTPStatusError( + '409', request=MagicMock(), response=MagicMock() + ) conflict_error.response = MagicMock() conflict_error.response.status_code = 409 mock_client.create_space.side_effect = conflict_error @@ -608,7 +614,7 @@ async def test_fetch_connection_error(self, mock_config, mock_tool_context): 'google.adk_community.tools.goodmem.goodmem_tools.GoodmemClient' ) as MockClient: mock_client = MockClient.return_value - mock_client.list_spaces.side_effect = requests.exceptions.ConnectionError( + mock_client.list_spaces.side_effect = httpx.ConnectError( 'Connection failed' ) @@ -703,45 +709,41 @@ async def test_fetch_debug_table_output(self, mock_config, mock_tool_context): mock_client.list_spaces.return_value = [ {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} ] - # Set debug mode - goodmem_tools._tool_debug = True - try: - mock_client.retrieve_memories.return_value = [{ - 'retrievedItem': { - 'chunk': { - 'chunk': { - 'memoryId': 'memory-123', - 'chunkText': 'User: Test content', - 'updatedAt': 1234567890000, # 2009-02-13 23:31:30 UTC - } - } - } - }] - mock_client.get_memory_by_id.return_value = { - 'metadata': {'user_id': 'test-user'} - } - - response = await goodmem_fetch( - query='test query', - tool_context=mock_tool_context, - base_url=mock_config['base_url'], - api_key=mock_config['api_key'], - ) - - assert response.success is True - # Verify debug table was printed - print_calls = [str(call) for call in mock_print.call_args_list] - debug_table_printed = any( - '[DEBUG] Retrieved memories:' in str(call) for call in print_calls - ) - assert ( - debug_table_printed - ), 'Debug table should be printed when debug is enabled' - mock_client.list_spaces.assert_called_once_with( - name='adk_tool_test-user' - ) - finally: - goodmem_tools._tool_debug = False + mock_client.retrieve_memories.return_value = [{ + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-123', + 'chunkText': 'User: Test content', + 'updatedAt': 1234567890000, # 2009-02-13 23:31:30 UTC + } + } + } + }] + mock_client.get_memory_by_id.return_value = { + 'metadata': {'user_id': 'test-user'} + } + + response = await goodmem_fetch( + query='test query', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + debug=True, + ) + + assert response.success is True + # Verify debug table was printed + print_calls = [str(call) for call in mock_print.call_args_list] + debug_table_printed = any( + '[DEBUG] Retrieved memories:' in str(call) for call in print_calls + ) + assert ( + debug_table_printed + ), 'Debug table should be printed when debug is enabled' + mock_client.list_spaces.assert_called_once_with( + name='adk_tool_test-user' + ) @pytest.mark.asyncio async def test_fetch_role_detection_from_prefix( @@ -758,55 +760,52 @@ async def test_fetch_role_detection_from_prefix( mock_client.list_spaces.return_value = [ {'spaceId': 'existing-space-123', 'name': 'adk_tool_test-user'} ] - goodmem_tools._tool_debug = True - try: - mock_client.retrieve_memories.return_value = [ - { - 'retrievedItem': { - 'chunk': { - 'chunk': { - 'memoryId': 'memory-user', - 'chunkText': 'User: This is from user', - 'updatedAt': 1234567890000, - } - } - } - }, - { - 'retrievedItem': { - 'chunk': { - 'chunk': { - 'memoryId': 'memory-llm', - 'chunkText': 'LLM: This is from llm', - 'updatedAt': 1234567891000, - } - } - } - }, - ] - mock_client.get_memory_by_id.return_value = {'metadata': {}} - - response = await goodmem_fetch( - query='test', - tool_context=mock_tool_context, - base_url=mock_config['base_url'], - api_key=mock_config['api_key'], - ) - - assert response.success is True - assert len(response.memories) == 2 - # Content should have prefix removed - assert response.memories[0].content == 'This is from user' - assert response.memories[1].content == 'This is from llm' - - # Verify debug table contains correct roles - print_calls = str(mock_print.call_args_list) - assert 'user' in print_calls.lower() or 'role' in print_calls.lower() - mock_client.list_spaces.assert_called_once_with( - name='adk_tool_test-user' - ) - finally: - goodmem_tools._tool_debug = False + mock_client.retrieve_memories.return_value = [ + { + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-user', + 'chunkText': 'User: This is from user', + 'updatedAt': 1234567890000, + } + } + } + }, + { + 'retrievedItem': { + 'chunk': { + 'chunk': { + 'memoryId': 'memory-llm', + 'chunkText': 'LLM: This is from llm', + 'updatedAt': 1234567891000, + } + } + } + }, + ] + mock_client.get_memory_by_id.return_value = {'metadata': {}} + + response = await goodmem_fetch( + query='test', + tool_context=mock_tool_context, + base_url=mock_config['base_url'], + api_key=mock_config['api_key'], + debug=True, + ) + + assert response.success is True + assert len(response.memories) == 2 + # Content should have prefix removed + assert response.memories[0].content == 'This is from user' + assert response.memories[1].content == 'This is from llm' + + # Verify debug table contains correct roles + print_calls = str(mock_print.call_args_list) + assert 'user' in print_calls.lower() or 'role' in print_calls.lower() + mock_client.list_spaces.assert_called_once_with( + name='adk_tool_test-user' + ) class TestDebugTableFormatting: @@ -915,20 +914,20 @@ class TestGoodmemClientNDJSON: def test_ndjson_with_blank_lines(self): """Test NDJSON parsing with blank lines interspersed.""" - client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - - # Mock response with blank lines between valid JSON - ndjson_response = ( - '\n{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' - ' "First"}}}}\n\n{"retrievedItem": {"chunk": {"chunk": {"memoryId":' - ' "2", "chunkText": "Second"}}}}\n' - ) - - with patch('requests.post') as mock_post: + with patch('google.adk_community.plugins.goodmem.client.httpx') as mock_httpx: + mock_http = MagicMock() + mock_httpx.Client.return_value = mock_http + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = ( + '\n{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n\n{"retrievedItem": {"chunk": {"chunk": {"memoryId":' + ' "2", "chunkText": "Second"}}}}\n' + ) mock_response = Mock() mock_response.text = ndjson_response mock_response.raise_for_status = Mock() - mock_post.return_value = mock_response + mock_http.post.return_value = mock_response result = client.retrieve_memories(query='test', space_ids=['space-1']) @@ -938,19 +937,20 @@ def test_ndjson_with_blank_lines(self): def test_ndjson_with_multiple_consecutive_blank_lines(self): """Test NDJSON parsing with multiple consecutive blank lines.""" - client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - - ndjson_response = ( - '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' - ' "First"}}}}\n\n\n\n{"retrievedItem": {"chunk": {"chunk": {"memoryId":' - ' "2", "chunkText": "Second"}}}}' - ) - - with patch('requests.post') as mock_post: + with patch('google.adk_community.plugins.goodmem.client.httpx') as mock_httpx: + mock_http = MagicMock() + mock_httpx.Client.return_value = mock_http + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = ( + '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n\n\n\n{"retrievedItem": {"chunk": {"chunk": {"memoryId":' + ' "2", "chunkText": "Second"}}}}' + ) mock_response = Mock() mock_response.text = ndjson_response mock_response.raise_for_status = Mock() - mock_post.return_value = mock_response + mock_http.post.return_value = mock_response result = client.retrieve_memories(query='test', space_ids=['space-1']) @@ -958,19 +958,20 @@ def test_ndjson_with_multiple_consecutive_blank_lines(self): def test_ndjson_with_whitespace_only_lines(self): """Test NDJSON parsing with lines containing only whitespace.""" - client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - - ndjson_response = ( - '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' - ' "First"}}}}\n \n\t\n{"retrievedItem": {"chunk": {"chunk":' - ' {"memoryId": "2", "chunkText": "Second"}}}}' - ) - - with patch('requests.post') as mock_post: + with patch('google.adk_community.plugins.goodmem.client.httpx') as mock_httpx: + mock_http = MagicMock() + mock_httpx.Client.return_value = mock_http + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = ( + '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n \n\t\n{"retrievedItem": {"chunk": {"chunk":' + ' {"memoryId": "2", "chunkText": "Second"}}}}' + ) mock_response = Mock() mock_response.text = ndjson_response mock_response.raise_for_status = Mock() - mock_post.return_value = mock_response + mock_http.post.return_value = mock_response result = client.retrieve_memories(query='test', space_ids=['space-1']) @@ -978,19 +979,20 @@ def test_ndjson_with_whitespace_only_lines(self): def test_ndjson_with_trailing_newlines(self): """Test NDJSON parsing with trailing newlines.""" - client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - - ndjson_response = ( - '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' - ' "First"}}}}\n{"retrievedItem": {"chunk": {"chunk": {"memoryId": "2",' - ' "chunkText": "Second"}}}}\n\n\n' - ) - - with patch('requests.post') as mock_post: + with patch('google.adk_community.plugins.goodmem.client.httpx') as mock_httpx: + mock_http = MagicMock() + mock_httpx.Client.return_value = mock_http + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = ( + '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n{"retrievedItem": {"chunk": {"chunk": {"memoryId": "2",' + ' "chunkText": "Second"}}}}\n\n\n' + ) mock_response = Mock() mock_response.text = ndjson_response mock_response.raise_for_status = Mock() - mock_post.return_value = mock_response + mock_http.post.return_value = mock_response result = client.retrieve_memories(query='test', space_ids=['space-1']) @@ -998,15 +1000,15 @@ def test_ndjson_with_trailing_newlines(self): def test_ndjson_empty_response(self): """Test NDJSON parsing with empty response.""" - client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - - ndjson_response = '' + with patch('google.adk_community.plugins.goodmem.client.httpx') as mock_httpx: + mock_http = MagicMock() + mock_httpx.Client.return_value = mock_http + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - with patch('requests.post') as mock_post: mock_response = Mock() - mock_response.text = ndjson_response + mock_response.text = '' mock_response.raise_for_status = Mock() - mock_post.return_value = mock_response + mock_http.post.return_value = mock_response result = client.retrieve_memories(query='test', space_ids=['space-1']) @@ -1014,15 +1016,15 @@ def test_ndjson_empty_response(self): def test_ndjson_only_blank_lines(self): """Test NDJSON parsing with only blank lines.""" - client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - - ndjson_response = '\n\n\n \n\t\n' + with patch('google.adk_community.plugins.goodmem.client.httpx') as mock_httpx: + mock_http = MagicMock() + mock_httpx.Client.return_value = mock_http + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - with patch('requests.post') as mock_post: mock_response = Mock() - mock_response.text = ndjson_response + mock_response.text = '\n\n\n \n\t\n' mock_response.raise_for_status = Mock() - mock_post.return_value = mock_response + mock_http.post.return_value = mock_response result = client.retrieve_memories(query='test', space_ids=['space-1']) @@ -1030,24 +1032,23 @@ def test_ndjson_only_blank_lines(self): def test_ndjson_filters_non_retrieved_items(self): """Test that lines without 'retrievedItem' key are filtered out.""" - client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - - # Mix of valid retrievedItem and other JSON objects - ndjson_response = ( - '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' - ' "First"}}}}\n{"status": "processing"}\n{"retrievedItem": {"chunk":' - ' {"chunk": {"memoryId": "2", "chunkText": "Second"}}}}' - ) - - with patch('requests.post') as mock_post: + with patch('google.adk_community.plugins.goodmem.client.httpx') as mock_httpx: + mock_http = MagicMock() + mock_httpx.Client.return_value = mock_http + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + + ndjson_response = ( + '{"retrievedItem": {"chunk": {"chunk": {"memoryId": "1", "chunkText":' + ' "First"}}}}\n{"status": "processing"}\n{"retrievedItem": {"chunk":' + ' {"chunk": {"memoryId": "2", "chunkText": "Second"}}}}' + ) mock_response = Mock() mock_response.text = ndjson_response mock_response.raise_for_status = Mock() - mock_post.return_value = mock_response + mock_http.post.return_value = mock_response result = client.retrieve_memories(query='test', space_ids=['space-1']) - # Should only return the 2 items with retrievedItem key assert len(result) == 2 assert all('retrievedItem' in item for item in result) @@ -1057,23 +1058,24 @@ class TestGoodmemClientListSpaces: def test_list_spaces_with_name_filter(self): """Test list_spaces includes nameFilter and maxResults.""" - client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') + with patch('google.adk_community.plugins.goodmem.client.httpx') as mock_httpx: + mock_http = MagicMock() + mock_httpx.Client.return_value = mock_http + client = GoodmemClient(base_url='http://localhost:8080', api_key='test-key') - with patch('requests.get') as mock_get: mock_response = Mock() mock_response.json.return_value = { 'spaces': [{'spaceId': 'space-1', 'name': 'adk_tool_test-user'}] } mock_response.raise_for_status = Mock() - mock_get.return_value = mock_response + mock_http.get.return_value = mock_response result = client.list_spaces(name='adk_tool_test-user') assert len(result) == 1 assert result[0]['name'] == 'adk_tool_test-user' - mock_get.assert_called_once_with( - 'http://localhost:8080/v1/spaces', - headers=client._headers, + mock_http.get.assert_called_once_with( + '/v1/spaces', params={'maxResults': 1000, 'nameFilter': 'adk_tool_test-user'}, - timeout=30, + timeout=30.0, ) From f7615643b9d950f8cb26281be15ca03105a0fa4a Mon Sep 17 00:00:00 2001 From: Forrest Bao Date: Thu, 5 Feb 2026 19:18:15 -0800 Subject: [PATCH 4/5] move memory services to tools_and_plugin branch --- .../samples/goodmem/MEMORY_SERVICE.md | 204 +++++ contributing/samples/goodmem/PLUGIN.md | 12 +- contributing/samples/goodmem/README.md | 36 +- .../goodmem_memory_service_demo/agent.py | 63 ++ contributing/samples/goodmem/services.py | 45 + src/google/adk_community/memory/__init__.py | 4 + .../adk_community/memory/goodmem/__init__.py | 25 + .../memory/goodmem/goodmem_memory_service.py | 855 ++++++++++++++++++ .../adk_community/plugins/goodmem/client.py | 11 +- .../memory/test_goodmem_memory_service.py | 849 +++++++++++++++++ .../unittests/plugins/test_goodmem_client.py | 500 ++++++++++ 11 files changed, 2579 insertions(+), 25 deletions(-) create mode 100644 contributing/samples/goodmem/MEMORY_SERVICE.md create mode 100644 contributing/samples/goodmem/goodmem_memory_service_demo/agent.py create mode 100644 contributing/samples/goodmem/services.py create mode 100644 src/google/adk_community/memory/goodmem/__init__.py create mode 100644 src/google/adk_community/memory/goodmem/goodmem_memory_service.py create mode 100644 tests/unittests/memory/test_goodmem_memory_service.py create mode 100644 tests/unittests/plugins/test_goodmem_client.py diff --git a/contributing/samples/goodmem/MEMORY_SERVICE.md b/contributing/samples/goodmem/MEMORY_SERVICE.md new file mode 100644 index 0000000..133cd8b --- /dev/null +++ b/contributing/samples/goodmem/MEMORY_SERVICE.md @@ -0,0 +1,204 @@ +# Goodmem Memory Service for ADK + +`GoodmemMemoryService` extends ADK's `BaseMemoryService` interface, giving +any ADK agent persistent, per-user memory backed by Goodmem. + + +## Basics about memory services + +A memory service (base `BaseMemoryService`) is an abstraction with two methods: +1. `add_session_to_memory(session)` for writing +2. `search_memory(app_name, user_id, query)` for reading + +A memory service is used by a Runner. But you cannot simply pass it to the Runner and expect it to work. +Instead, the two methods above need to be manually configured as callbacks or paired with tools. And the way to do it is asymmetric for writing and reading. +* To write, a developer must pass the memory service's `add_session_to_memory` method to an `Agent`'s `after_agent_callback` callback. This callback is triggered after every agent turn. It passes the entire session object to the memory service, which will decide what to write to memory. Yes, in this sense, a memory service is like a plugin. +* Reading from memory is done via two ADK-provided tools, both of which call the memory service's `search_memory` (via `tool_context.search_memory`). **preload_memory** is invoked by ADK before each LLM request (via its `process_llm_request` hook) -- in this sense, it is not really a tool which is meant for LLM agent to decide when to call. **load_memory** is called by the LLM/agent when it chooses to search memory. + +## What Goodmem's memory service does + +It uses a Goodmem space named `adk_memory_{app_name}_{user_id}` to store conversation turns. +If the space does not exist, it is created using the first available embedder, or the embedder specified in `GOODMEM_EMBEDDER_ID`. + +1. **Memory writing** It saves new conversation turns to Goodmem after each agent response. + By default each turn is stored as **one** text memory (user and LLM in one chunk): + ``` + User: + LLM: + ``` + It can be split into two memories per turn (separate `User: ...` and `LLM: ...`) by passing `split_turn=True` to `GoodmemMemoryService` (see Usage example below). + Binary attachments (PDFs, images) from user events are always stored as + separate memories via multipart upload. + +2. **Semantic search and prompt formatting** (expands `BaseMemoryService.search_memory` and adds formatting) + Retrieved memories are formatted into a single string for prompt injection like this: + ``` + BEGIN MEMORY + ...usage rules... + RETRIEVED MEMORIES: + - id: mem-abc123 + time: 2025-02-05 14:30 + content: | + User: My favorite color is blue. + LLM: I'll remember that your favorite color is blue. + ...more memories... + END MEMORY + ``` + +## Prerequisites + +1. `pip install google-adk google-adk-community` +2. Install and configure Goodmem locally or serverlessly: + [Goodmem quick start](https://goodmem.ai/quick-start) +3. Create at least one embedder in Goodmem. +4. Set these environment variables: + - `GOODMEM_API_KEY` (required) + - `GOODMEM_BASE_URL` (optional, defaults to `https://api.goodmem.ai`) + - `GOODMEM_EMBEDDER_ID` (optional; first available embedder is used if omitted) +5. Set a model API key for ADK: + - `GOOGLE_API_KEY` or `GEMINI_API_KEY` + +## Usage + +Using a memory service requires three pieces: an `after_agent_callback` to +write, memory tools to read, and the service on the Runner. + +```python +# @file agent.py +import os +from google.adk import Agent +from google.adk.agents.callback_context import CallbackContext +from google.adk.runners import Runner +from google.adk.sessions import InMemorySessionService +from google.adk.tools import load_memory, preload_memory +from google.adk_community.memory.goodmem import GoodmemMemoryService + +memory_service = GoodmemMemoryService( + base_url=os.getenv("GOODMEM_BASE_URL"), + api_key=os.getenv("GOODMEM_API_KEY"), + embedder_id=os.getenv("GOODMEM_EMBEDDER_ID"), + top_k=10, # Number of memories to retrieve per search, range: 1-100, default 5 + timeout=60.0, # seconds, default 30.0 + split_turn=False, # False: one memory per turn (User+LLM); True: two (User, LLM) +) + +async def save_to_memory(callback_context: CallbackContext) -> None: + await callback_context.add_session_to_memory() + +agent = Agent( + model="gemini-2.5-flash", + name="my_agent", + instruction="You are a helpful assistant with persistent memory.", + after_agent_callback=save_to_memory, + tools=[preload_memory, load_memory], +) + +runner = Runner( + app_name="my_app", + agent=agent, + memory_service=memory_service, +) +``` + +## Run the demo + +This repo includes a ready-to-run demo in `goodmem_memory_service_demo/`. +The demo uses `adk web` to give you the ADK Dev UI. + +**Important:** Run `adk web` from the **parent** directory +`contributing/samples/goodmem/`, not from inside `goodmem_memory_service_demo/`. +ADK discovers agents as subdirectories and loads `services.py` from that parent +to register the Goodmem memory service. + +```bash +cd contributing/samples/goodmem +adk web --memory_service_uri="goodmem://env" . +``` + +Or from anywhere, passing the agents directory explicitly: + +```bash +adk web --memory_service_uri="goodmem://env" contributing/samples/goodmem +``` + +This opens the ADK Dev UI at `http://localhost:8000`. Select **goodmem_memory_service_demo** +from the left panel. Chat with the agent in a session, then leave the session and +start a new session. The agent will remember information from earlier conversations. + +> **Note:** `adk run` does not support memory services. Use `adk web`. + +The demo uses: +- `goodmem_memory_service_demo/agent.py` — agent definition with the `after_agent_callback` and memory tools (no Runner or memory_service; adk web creates those). +- `goodmem/services.py` — **required** for `adk web`: registers the Goodmem factory. Edit the `GoodmemMemoryService(...)` call there to set top_k, timeout, split_turn, or debug. ADK loads `services.py` only from the **agents root** (the directory you pass to `adk web`). + + +## Installation for local development + +If you want to use this service with local changes, install from this repository in editable mode: + +```bash +cd adk-python-community +pip install -e . +``` + +This makes `from google.adk_community.memory.goodmem import GoodmemMemoryService` +available immediately, and local changes are picked up without reinstalling. + +## File structure + +```text +adk-python-community/ +├─ src/google/adk_community/ +│ ├─ plugins/goodmem/ +│ │ └─ client.py (shared HTTP client) +│ └─ memory/goodmem/ +│ ├─ __init__.py +│ └─ goodmem_memory_service.py (BaseMemoryService implementation) +├─ tests/unittests/memory/ +│ └─ test_goodmem_memory_service.py +└─ contributing/samples/goodmem/ + ├─ MEMORY_SERVICE.md + ├─ services.py (adk web: register goodmem factory at agents root) + └─ goodmem_memory_service_demo/ + └─ agent.py +``` + +## Limitations and caveats + +1. **`add_session_to_memory` receives a read-only `Session`** + ADK's `BaseMemoryService.add_session_to_memory` receives a `Session` object, + not a writable context. The service cannot persist state (e.g., the space ID + cache) in session state — it relies on in-memory caches instead. + +2. **No rate-limit handling** + HTTP 429 responses are not retried. + +3. **Ingestion status is not polled** + Binary uploads may still be processing when `add_session_to_memory` returns. + +4. **Dedup is in-memory only** + The processed-events index is per-process. If the service is restarted, + events from previous runs may be re-processed. + +5. **Timeout is managed by the shared client** + The `timeout` field in `GoodmemMemoryServiceConfig` is retained for + configuration compatibility but is not currently passed to the shared client. + The shared client uses its own per-method timeouts (30 s for most calls, + 120 s for binary uploads). + + +## Why should or shouldn't you use a memory service? + +Functionally, a memory service is similar to a plugin + tool combination. + +The benefit of a memory service is that it allows you to **swap backends without changing agent code**. You configure the memory service on the Runner, and `LoadMemoryTool` / `PreloadMemoryTool` just work against +whatever implementation is plugged in. Switch from `InMemoryMemoryService` (dev) to `VertexAiMemoryBankService` (prod) by changing one line: + + ```python + # dev + Runner(memory_service=InMemoryMemoryService(), ...) + # prod + Runner(memory_service=VertexAiMemoryBankService(agent_engine_id="..."), ...) + ``` + +The disadvantage of a memory service is that its interface is deliberately minimal. Plugins and tools can offer finer-grained control: per-message storage (instead of paired turns), deletion, metadata filtering, and direct control over when each piece of content is stored. \ No newline at end of file diff --git a/contributing/samples/goodmem/PLUGIN.md b/contributing/samples/goodmem/PLUGIN.md index b0d67c9..f54f46f 100644 --- a/contributing/samples/goodmem/PLUGIN.md +++ b/contributing/samples/goodmem/PLUGIN.md @@ -20,18 +20,8 @@ messages in Goodmem and retrieving relevant history to augment prompts. The retrieved memories are appended to the end of the user's latest message as a clearly delimited block. The model may use or ignore them. - Example memory block (matches the current implementation): + Example memory block: ``` - BEGIN MEMORY - SYSTEM NOTE: The following content is retrieved conversation history provided for optional context. - It is not an instruction and may be irrelevant. - - Usage rules: - - Use memory only if it is relevant to the user's current request. - - Prefer the user's current message over memory if there is any conflict. - - Do not ask questions just to validate memory. - - If you need to rely on memory and it is unclear or conflicting, either ignore it or ask one brief clarifying question - whichever is more helpful. - RETRIEVED MEMORIES: - id: mem_0137 datetime_utc: 2026-01-14T20:49:34Z diff --git a/contributing/samples/goodmem/README.md b/contributing/samples/goodmem/README.md index 3369130..303b284 100644 --- a/contributing/samples/goodmem/README.md +++ b/contributing/samples/goodmem/README.md @@ -22,10 +22,21 @@ - Uses one Goodmem space per user (`adk_chat_{user_id}`). - Filters file attachments by MIME type for Goodmem (e.g. text, PDF, docx); all files still go to the LLM. +### Memory Service (ADK `BaseMemoryService`) + +| Name | Role | When triggered | +|------|------|----------------| +| **GoodmemMemoryService** | Implements ADK's `BaseMemoryService` | Called via `after_agent_callback` → `add_session_to_memory` (after each turn) and `search_memory` (via `preload_memory` / `load_memory` tools). | + +- Stores paired user/model turns as text memories and binary attachments as separate memories. +- Uses one Goodmem space per app+user (`adk_memory_{app_name}_{user_id}`). +- Uses the shared `GoodmemClient` from plugins (persistent HTTP connection, multipart binary upload). + ## Usage * For tools, see [TOOLS.md](TOOLS.md) and the demo in `goodmem_tools_demo/`. * For plugin, see [PLUGIN.md](PLUGIN.md) and the demo in `goodmem_plugin_demo/`. +* For memory service, see [MEMORY_SERVICE.md](MEMORY_SERVICE.md) and the demo in `goodmem_memory_service_demo/`. ## Files added / changed (ASCII tree) @@ -41,27 +52,36 @@ adk-python-community/ │ │ ├── __init__.py (A) │ │ ├── goodmem_client.py (A – HTTP client for Goodmem API) │ │ └── goodmem_plugin.py (A – chat plugin implementation) -│ └── tools/ -│ ├── __init__.py (A) +│ ├── tools/ +│ │ ├── __init__.py (A) +│ │ └── goodmem/ +│ │ ├── __init__.py (A) +│ │ └── goodmem_tools.py (A – goodmem_save, goodmem_fetch tools) +│ └── memory/ │ └── goodmem/ │ ├── __init__.py (A) -│ ├── goodmem_client.py (A – shared HTTP client) -│ └── goodmem_tools.py (A – goodmem_save, goodmem_fetch tools) +│ └── goodmem_memory_service.py (A – BaseMemoryService impl) ├── tests/unittests/ │ ├── plugins/ │ │ ├── __init__.py (A) │ │ └── test_goodmem_plugin.py (A) -│ └── tools/ -│ ├── __init__.py (A) -│ └── test_goodmem_tools.py (A) +│ ├── tools/ +│ │ ├── __init__.py (A) +│ │ └── test_goodmem_tools.py (A) +│ └── memory/ +│ └── test_goodmem_memory_service.py (A) └── contributing/samples/goodmem/ ├── README.md (A) ├── TOOLS.md (A) ├── PLUGIN.md (A) + ├── MEMORY_SERVICE.md (A) ├── goodmem_tools_for_adk.png (A) + ├── services.py (A) memory service factory for adk web ├── goodmem_tools_demo/ │ └── agent.py (A) - └── goodmem_plugin_demo/ + ├── goodmem_plugin_demo/ + │ └── agent.py (A) + └── goodmem_memory_service_demo/ └── agent.py (A) ``` diff --git a/contributing/samples/goodmem/goodmem_memory_service_demo/agent.py b/contributing/samples/goodmem/goodmem_memory_service_demo/agent.py new file mode 100644 index 0000000..aed1698 --- /dev/null +++ b/contributing/samples/goodmem/goodmem_memory_service_demo/agent.py @@ -0,0 +1,63 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""GoodMem Memory Service demo for ADK. + +Run from the parent directory (contributing/samples/goodmem/): + + cd contributing/samples/goodmem + adk web --memory_service_uri="goodmem://env" . + +Then open http://localhost:8000 and select goodmem_memory_service_demo. + +The memory service is created by adk web via the factory in goodmem/services.py. +Config (top_k, split_turn, timeout) is set there, not in this file. +See MEMORY_SERVICE.md "Usage" for programmatic config with Runner. +""" + +from google.adk import Agent +from google.adk.agents.callback_context import CallbackContext +from google.adk.tools import load_memory, preload_memory + +async def save_to_memory(callback_context: CallbackContext) -> None: + """Save new conversation turns to GoodMem after each agent response. + + ADK does use memory service to write to memory automatically. + ADK only writes to the memory service via a callback. + + add_session_to_memory() is a method of BaseMemoryService. + GoodmemMemoryService extends BaseMemoryService. + + The callback `after_agent_callback` is a method of Agent in ADK. + By passing add_session_to_memory() to after_agent_callback, + ADK will write to the memory service after every agent turn + (a turn is a user message and a model response). + + Without this callback, nothing would be stored + and the agent would have no persistent memory to search later. + """ + await callback_context.add_session_to_memory() + + +root_agent = Agent( + model="gemini-2.5-flash", + name="goodmem_memory_agent", + instruction=( + "You are a helpful assistant with persistent memory. " + "Use load_memory to search for relevant memories from past conversations. " + "Saving happens automatically after each response - do not try to call a save tool." + ), + after_agent_callback=save_to_memory, + tools=[preload_memory, load_memory], +) diff --git a/contributing/samples/goodmem/services.py b/contributing/samples/goodmem/services.py new file mode 100644 index 0000000..80b3758 --- /dev/null +++ b/contributing/samples/goodmem/services.py @@ -0,0 +1,45 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Register GoodmemMemoryService with the ADK service registry. + +adk web loads services.py from the agents root (this directory when you run +'adk web .' from contributing/samples/goodmem/). This registration must happen +before the server resolves --memory_service_uri="goodmem://env". + +Edit the GoodmemMemoryService(...) call below to set top_k, timeout, +split_turn, or debug. + +For how to use this file, see goodmem/goodmem_memory_service_demo/agent.py. +""" + +import os + +from google.adk.cli.service_registry import get_service_registry +from google.adk_community.memory.goodmem import GoodmemMemoryService + + +def _goodmem_factory(uri: str, **kwargs): + return GoodmemMemoryService( + base_url=os.getenv("GOODMEM_BASE_URL"), + api_key=os.getenv("GOODMEM_API_KEY"), + embedder_id=os.getenv("GOODMEM_EMBEDDER_ID"), + top_k=5, + timeout=30.0, + split_turn=True, + debug=False, + ) + + +get_service_registry().register_memory_service("goodmem", _goodmem_factory) diff --git a/src/google/adk_community/memory/__init__.py b/src/google/adk_community/memory/__init__.py index 1f3442c..0eafd74 100644 --- a/src/google/adk_community/memory/__init__.py +++ b/src/google/adk_community/memory/__init__.py @@ -14,10 +14,14 @@ """Community memory services for ADK.""" +from .goodmem.goodmem_memory_service import GoodmemMemoryService +from .goodmem.goodmem_memory_service import GoodmemMemoryServiceConfig from .open_memory_service import OpenMemoryService from .open_memory_service import OpenMemoryServiceConfig __all__ = [ + "GoodmemMemoryService", + "GoodmemMemoryServiceConfig", "OpenMemoryService", "OpenMemoryServiceConfig", ] diff --git a/src/google/adk_community/memory/goodmem/__init__.py b/src/google/adk_community/memory/goodmem/__init__.py new file mode 100644 index 0000000..849699f --- /dev/null +++ b/src/google/adk_community/memory/goodmem/__init__.py @@ -0,0 +1,25 @@ +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""GoodMem memory service module.""" + +from .goodmem_memory_service import format_memory_block_for_prompt +from .goodmem_memory_service import GoodmemMemoryService +from .goodmem_memory_service import GoodmemMemoryServiceConfig + +__all__ = [ + "format_memory_block_for_prompt", + "GoodmemMemoryService", + "GoodmemMemoryServiceConfig", +] diff --git a/src/google/adk_community/memory/goodmem/goodmem_memory_service.py b/src/google/adk_community/memory/goodmem/goodmem_memory_service.py new file mode 100644 index 0000000..816ee53 --- /dev/null +++ b/src/google/adk_community/memory/goodmem/goodmem_memory_service.py @@ -0,0 +1,855 @@ +# Copyright 2025 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""GoodMem memory service for ADK. + +This module provides a memory service implementation that uses GoodMem as the +backend for semantic memory storage and retrieval. + +GoodMem (https://goodmem.ai) is a vector-based memory service that enables +semantic search across stored memories. This integration: + +- Stores paired user/model conversation turns as text memories +- Stores user-uploaded binary attachments (PDFs, images) as separate memories +- Organizes memories into spaces named ``adk_memory_{app_name}_{user_id}`` +- Supports semantic search via the ``search_memory`` method + +Example usage:: + + from google.adk_community.memory.goodmem import GoodmemMemoryService + + service = GoodmemMemoryService( + base_url="https://api.goodmem.ai", + api_key="your-api-key", + ) + +See Also: + - :class:`GoodmemMemoryServiceConfig` for configuration options +""" + +from __future__ import annotations + +import asyncio +import logging +import os +from collections import OrderedDict +from datetime import datetime, timezone +from threading import Lock +from typing import TYPE_CHECKING, Any, Dict, List, NamedTuple, Optional + +import httpx +from pydantic import BaseModel, Field +from typing_extensions import override + +from google.adk.memory.base_memory_service import BaseMemoryService +from google.adk.memory.base_memory_service import SearchMemoryResponse +from google.adk.memory.memory_entry import MemoryEntry +from google.adk_community.plugins.goodmem.client import GoodmemClient +from google.genai import types + +if TYPE_CHECKING: + from google.adk.sessions.session import Session + +logger = logging.getLogger("google_adk." + __name__) + + +# --------------------------------------------------------------------------- +# Utility types and helpers (inlined from memory-service utils) +# --------------------------------------------------------------------------- + + +class BinaryAttachment(NamedTuple): + """Represents a binary attachment extracted from an event.""" + + data: bytes + mime_type: str + display_name: Optional[str] = None + + +def extract_binary_from_event(event: Any) -> List[BinaryAttachment]: + """Extract binary attachments (PDFs, images) from an event's content parts. + + Looks for ``inline_data`` parts (e.g. ``types.Blob``) and returns the raw + bytes together with the MIME type and optional display name. + + Args: + event: The event to extract binary data from. + + Returns: + List of BinaryAttachment objects. + """ + content = getattr(event, "content", None) + parts = getattr(content, "parts", None) + if not parts: + logger.debug( + "extract_binary_from_event: no parts found (content=%s)", + type(content).__name__ if content else None, + ) + return [] + + logger.debug( + "extract_binary_from_event: found %d parts in event", len(parts) + ) + + attachments: List[BinaryAttachment] = [] + for i, part in enumerate(parts): + # Log what attributes the part has + part_attrs = [ + attr for attr in ["text", "inline_data", "file_data", "function_call"] + if getattr(part, attr, None) is not None + ] + logger.debug( + "extract_binary_from_event: part[%d] has attrs: %s", i, part_attrs + ) + + inline_data = getattr(part, "inline_data", None) + if not inline_data: + continue + + data = getattr(inline_data, "data", None) + logger.debug( + "extract_binary_from_event: part[%d] inline_data.data type=%s, " + "mime_type=%s", + i, + type(data).__name__ if data else None, + getattr(inline_data, "mime_type", None), + ) + if not data: + continue + + if not isinstance(data, bytes): + logger.warning( + "Skipping attachment with non-bytes data type: %s", + type(data).__name__, + ) + continue + + mime_type = ( + getattr(inline_data, "mime_type", None) or "application/octet-stream" + ) + display_name = getattr(inline_data, "display_name", None) + + attachments.append( + BinaryAttachment( + data=data, + mime_type=mime_type, + display_name=display_name, + ) + ) + + return attachments + + +def extract_text_from_event(event: Any) -> str: + """Extract user-visible text from an event's content parts. + + Filters out thought parts so that internal metadata is not stored in + memories. + + Args: + event: The event to extract text from. + + Returns: + Combined text from all non-thought text parts, or ``""``. + """ + content = getattr(event, "content", None) + parts = getattr(content, "parts", None) + if not parts: + return "" + + text_parts = [ + part.text + for part in parts + if getattr(part, "text", None) and not getattr(part, "thought", False) + ] + return " ".join(text_parts) + + +# --------------------------------------------------------------------------- +# Memory service +# --------------------------------------------------------------------------- + + +class GoodmemMemoryService(BaseMemoryService): + """Memory service implementation using GoodMem. + + GoodMem is a vector-based memory storage and retrieval service that provides + semantic search capabilities. This service stores paired user/model turns + as text memories and user-uploaded attachments as separate binary memories. + Memories are organized into spaces named + ``adk_memory_{app_name}_{user_id}``. + + The constructor performs **no network calls**; the embedder is resolved + lazily on the first space creation. + + See https://goodmem.ai for more information. + + Args: + base_url: GoodMem API URL (e.g. ``https://api.goodmem.ai``). + ``/v1`` is **not** included — the shared client adds it per-request. + api_key: GoodMem API key (required). + embedder_id: Optional embedder ID. When omitted the first available + embedder is selected deterministically on first use. + config: Optional :class:`GoodmemMemoryServiceConfig`. If omitted, + top_k, timeout, and split_turn are used to build config. + top_k: Memories per search (1–100). Default 5. Ignored if + config is set. + timeout: HTTP request timeout in seconds. Default 30.0. Ignored if + config is set. + split_turn: If False, one memory per turn (User+LLM); if True, two + per turn. Default False. Ignored if config is set. + debug: Enable debug logging for this service. + """ + + _PROCESSED_EVENTS_CACHE_LIMIT = 1024 + + def __init__( + self, + base_url: Optional[str] = None, + api_key: Optional[str] = None, + embedder_id: Optional[str] = None, + config: Optional["GoodmemMemoryServiceConfig"] = None, + top_k: int = 5, + timeout: float = 30.0, + split_turn: bool = False, + debug: bool = False, + ) -> None: + # Resolve from constructor args then env vars. + resolved_base_url = ( + base_url or os.getenv("GOODMEM_BASE_URL", "https://api.goodmem.ai") + ) + resolved_api_key = api_key or os.getenv("GOODMEM_API_KEY") + + if not resolved_api_key: + raise ValueError( + "api_key is required for GoodMem. " + "Provide an API key when initializing GoodmemMemoryService " + "or set the GOODMEM_API_KEY environment variable." + ) + + # Strip /v1 suffix if present — the shared client adds it per-request. + normalized = resolved_base_url.rstrip("/") + if normalized.endswith("/v1"): + normalized = normalized[:-3] + + if config is not None: + self._config = config + else: + self._config = GoodmemMemoryServiceConfig( + top_k=top_k, + timeout=timeout, + split_turn=split_turn, + ) + self._debug = debug + + # Enable debug logging if requested. + if debug: + logger.setLevel(logging.DEBUG) + + # Persistent HTTP connection — no network call at construction time. + self._client = GoodmemClient(normalized, resolved_api_key, debug=debug) + + # Lazy embedder resolution. + self._embedder_id_arg: Optional[str] = ( + embedder_id or os.getenv("GOODMEM_EMBEDDER_ID") + ) + self._resolved_embedder_id: Optional[str] = None + self._embedder_lock = Lock() + + # Per-space locking and caching. + self._space_cache: Dict[str, str] = {} + self._space_cache_lock = Lock() + self._space_locks: Dict[str, Lock] = {} + self._space_locks_lock = Lock() + + # Dedup tracking — keeps last-processed event index per session. + self._processed_events: "OrderedDict[str, int]" = OrderedDict() + self._processed_events_limit = self._PROCESSED_EVENTS_CACHE_LIMIT + self._processed_events_lock = Lock() + + # -- embedder helpers --------------------------------------------------- + + def _get_embedder_id(self) -> str: + """Return the embedder ID, resolving lazily on first call. + + If ``embedder_id`` was provided to the constructor (or via env var), + it is validated against the server's embedder list. Otherwise the + first available embedder is selected deterministically. + + Raises: + ValueError: If no embedders exist or the requested ID is invalid. + """ + with self._embedder_lock: + if self._resolved_embedder_id is not None: + return self._resolved_embedder_id + + embedders = self._client.list_embedders() + if not embedders: + raise ValueError( + "No embedders available in GoodMem. " + "Please create at least one embedder." + ) + + if self._embedder_id_arg: + valid_ids = [e.get("embedderId") for e in embedders] + if self._embedder_id_arg not in valid_ids: + raise ValueError( + f"embedder_id '{self._embedder_id_arg}' is not valid. " + f"Available: {valid_ids}" + ) + self._resolved_embedder_id = self._embedder_id_arg + else: + selected = embedders[0] + eid = str(selected.get("embedderId", "")) + if not eid: + raise ValueError( + "Failed to get embedder ID from first embedder." + ) + self._resolved_embedder_id = eid + logger.info( + "No embedder_id provided; using first available: %s " + "(name: %s)", + eid, + selected.get("name", "unknown"), + ) + + return self._resolved_embedder_id + + # -- space helpers ------------------------------------------------------ + + def _get_space_name(self, app_name: str, user_id: str) -> str: + """Generate space name from app_name and user_id.""" + return f"adk_memory_{app_name}_{user_id}" + + def _get_space_lock(self, cache_key: str) -> Lock: + """Return a per-space lock for the given cache key.""" + with self._space_locks_lock: + if cache_key not in self._space_locks: + self._space_locks[cache_key] = Lock() + return self._space_locks[cache_key] + + def _ensure_space(self, app_name: str, user_id: str) -> str: + """Ensure a GoodMem space exists for the app/user pair. + + Uses the shared client's server-side name filter with pagination to + look up the space efficiently. + + Args: + app_name: The application name. + user_id: The user ID. + + Returns: + The space ID for the app/user combination. + """ + cache_key = f"{app_name}:{user_id}" + lock = self._get_space_lock(cache_key) + + with lock: + with self._space_cache_lock: + if cache_key in self._space_cache: + return self._space_cache[cache_key] + + space_name = self._get_space_name(app_name, user_id) + + try: + # Server-side filter + pagination via shared client. + spaces = self._client.list_spaces(name=space_name) + for space in spaces: + if space.get("name") == space_name: + space_id = space.get("spaceId") + if space_id: + with self._space_cache_lock: + self._space_cache[cache_key] = space_id + logger.debug("Found existing space: %s", space_id) + return space_id + + embedder_id = self._get_embedder_id() + response = self._client.create_space(space_name, embedder_id) + space_id = response.get("spaceId") + if space_id: + with self._space_cache_lock: + self._space_cache[cache_key] = space_id + logger.info("Created new space: %s", space_id) + return space_id + except Exception: + logger.error( + "Error ensuring space for %s", space_name, exc_info=True + ) + raise + + raise ValueError( + f"Failed to create or find space for {space_name}" + ) + + async def _ensure_space_async(self, app_name: str, user_id: str) -> str: + """Async wrapper around :meth:`_ensure_space`.""" + return await asyncio.to_thread(self._ensure_space, app_name, user_id) + + # -- dedup tracking ----------------------------------------------------- + + def _set_processed_event_index( + self, session_key: str, index: int + ) -> None: + """Store the last processed event index with simple LRU eviction.""" + with self._processed_events_lock: + self._processed_events[session_key] = index + self._processed_events.move_to_end(session_key) + if len(self._processed_events) > self._processed_events_limit: + self._processed_events.popitem(last=False) + + # -- binary attachment saving ------------------------------------------- + + async def _save_binary_attachment( + self, + attachment: BinaryAttachment, + session: "Session", + space_id: str, + ) -> bool: + """Save a binary attachment (PDF, image) to GoodMem. + + Uses the shared client's multipart binary upload (raw bytes). + + Returns: + ``True`` if saved successfully, ``False`` otherwise. + """ + metadata: Dict[str, Any] = { + "app_name": session.app_name, + "user_id": session.user_id, + "session_id": session.id, + "source": "adk_session", + "role": "user", + } + if attachment.display_name: + metadata["filename"] = attachment.display_name + + try: + logger.debug( + "Saving binary attachment: %s (%s, %d bytes)", + attachment.display_name or "unnamed", + attachment.mime_type, + len(attachment.data), + ) + await asyncio.to_thread( + self._client.insert_memory_binary, + space_id=space_id, + content_bytes=attachment.data, + content_type=attachment.mime_type, + metadata=metadata, + ) + logger.debug("Binary attachment saved successfully") + return True + except httpx.HTTPStatusError as e: + logger.error( + "Failed to save binary attachment: HTTP %s - %s", + e.response.status_code, + e.response.text, + ) + return False + except httpx.RequestError as e: + logger.error("Failed to save binary attachment: %s", e) + return False + + # -- BaseMemoryService interface ---------------------------------------- + + @override + async def add_session_to_memory(self, session: "Session") -> None: + """Add a session's events to GoodMem memory. + + Handles both text conversations and binary attachments. Binary + attachments from user events are saved as separate memories. Text + memories are stored as paired user query + model response. + + Args: + session: The session to add to memory. + """ + logger.debug( + "add_session_to_memory: app_name=%s, user_id=%s, session_id=%s", + session.app_name, + session.user_id, + session.id, + ) + logger.debug("Session has %d events", len(session.events)) + space_id = await self._ensure_space_async( + session.app_name, session.user_id + ) + logger.debug("Using space_id: %s", space_id) + + memories_added = 0 + attachments_added = 0 + last_successful_event_idx = -1 + + # Dedup: skip events already persisted in earlier calls. + session_key = ( + f"{session.app_name}:{session.user_id}:{session.id}" + ) + with self._processed_events_lock: + last_processed_idx = self._processed_events.get( + session_key, -1 + ) + logger.debug( + "Last processed event index for session %s: %d", + session.id, + last_processed_idx, + ) + + metadata = { + "app_name": session.app_name, + "user_id": session.user_id, + "session_id": session.id, + "source": "adk_session", + } + + user_text: Optional[str] = None + pending_user_idx: Optional[int] = None + + for idx, event in enumerate(session.events): + logger.debug( + "Processing event[%d]: author=%s, has_content=%s", + idx, + event.author, + event.content is not None, + ) + # Skip already-processed events but track user_text for pairing. + if idx <= last_processed_idx: + if event.author == "user": + text = extract_text_from_event(event) + if text: + user_text = text + pending_user_idx = idx + continue + + event_fully_processed = True + + # Handle binary attachments from user events. + if event.author == "user": + attachments = extract_binary_from_event(event) + logger.debug( + "Event[%d] user event: found %d binary attachments", + idx, + len(attachments), + ) + for attachment in attachments: + if await self._save_binary_attachment( + attachment, session, space_id + ): + attachments_added += 1 + else: + event_fully_processed = False + + content_text = extract_text_from_event(event) + + if event.author == "user": + if content_text: + user_text = content_text + pending_user_idx = idx + if event_fully_processed: + last_successful_event_idx = idx + continue + + # Skip tool/system events — only pair with model responses. + if event.author in ("tool", "system"): + continue + + if event.author and content_text: + pair_in_one = not self._config.split_turn + if user_text: + if pair_in_one: + contents_to_save: List[tuple[str, dict]] = [ + ( + f"User: {user_text}\nLLM: {content_text}", + metadata, + ) + ] + else: + contents_to_save = [ + (f"User: {user_text}", {**metadata, "role": "user"}), + (f"LLM: {content_text}", {**metadata, "role": "LLM"}), + ] + user_text = None + else: + contents_to_save = [ + (f"LLM: {content_text}", metadata), + ] + + turn_success = True + for content, meta in contents_to_save: + try: + logger.debug("Saving memory: %s...", content[:100]) + await asyncio.to_thread( + self._client.insert_memory, + space_id=space_id, + content=content, + content_type="text/plain", + metadata=meta, + ) + memories_added += 1 + logger.debug("Memory saved successfully") + except httpx.HTTPStatusError as e: + logger.error( + "Failed to add memory: HTTP %s - %s", + e.response.status_code, + e.response.text, + ) + turn_success = False + except httpx.RequestError as e: + logger.error("Failed to add memory: %s", e) + turn_success = False + except Exception as e: # pylint: disable=broad-exception-caught + logger.error("Failed to add memory: %s", e) + turn_success = False + if turn_success: + if ( + pending_user_idx is not None + and pending_user_idx > last_successful_event_idx + ): + last_successful_event_idx = pending_user_idx + last_successful_event_idx = idx + pending_user_idx = None + else: + event_fully_processed = False + + if last_successful_event_idx >= 0: + self._set_processed_event_index( + session_key, last_successful_event_idx + ) + logger.debug( + "Updated last processed event index for session %s: %d", + session.id, + last_successful_event_idx, + ) + elif session.events and last_successful_event_idx == -1: + logger.warning( + "No events were successfully processed for session %s", + session.id, + ) + + logger.info( + "Added %d text memories and %d attachments from session %s", + memories_added, + attachments_added, + session.id, + ) + + def _convert_to_memory_entry( + self, chunk_data: Dict[str, Any] + ) -> Optional[MemoryEntry]: + """Convert a GoodMem retrieved chunk to a :class:`MemoryEntry`. + + Memory format is:: + + User: + LLM: + """ + try: + chunk_info = ( + chunk_data.get("retrievedItem", {}) + .get("chunk", {}) + .get("chunk", {}) + ) + raw_content = chunk_info.get("chunkText", "") + memory_id = chunk_info.get("memoryId", "") + updated_at_ms = chunk_info.get("updatedAt") + + if not raw_content: + return None + + timestamp_str: Optional[str] = None + if isinstance(updated_at_ms, (int, float)) and updated_at_ms > 0: + try: + dt = datetime.fromtimestamp( + float(updated_at_ms) / 1000.0, tz=timezone.utc + ) + timestamp_str = dt.strftime("%Y-%m-%d %H:%M") + except (ValueError, OSError): + pass + + content = types.Content(parts=[types.Part(text=raw_content)]) + return MemoryEntry( + content=content, + author="conversation", + timestamp=timestamp_str, + id=memory_id, + ) + except (KeyError, ValueError) as e: + logger.debug("Failed to convert chunk to MemoryEntry: %s", e) + return None + + @override + async def search_memory( + self, *, app_name: str, user_id: str, query: str + ) -> SearchMemoryResponse: + """Search for memories in GoodMem using semantic search.""" + logger.debug( + "search_memory: app_name=%s, user_id=%s, query=%s", + app_name, + user_id, + query, + ) + try: + space_id = await self._ensure_space_async(app_name, user_id) + logger.debug("Using space_id: %s", space_id) + + chunks = await asyncio.to_thread( + self._client.retrieve_memories, + query=query, + space_ids=[space_id], + request_size=self._config.top_k, + ) + logger.debug("Query returned %d chunks", len(chunks)) + + memories: List[MemoryEntry] = [] + for chunk in chunks: + entry = self._convert_to_memory_entry(chunk) + if entry: + memories.append(entry) + + logger.info( + "Found %d memories for query: %s", len(memories), query + ) + return SearchMemoryResponse(memories=memories) + + except httpx.HTTPStatusError as e: + logger.error( + "Failed to search memories: HTTP %s - %s", + e.response.status_code, + e.response.text, + ) + return SearchMemoryResponse(memories=[]) + except httpx.RequestError as e: + logger.error("Failed to search memories: %s", e) + return SearchMemoryResponse(memories=[]) + except Exception as e: # pylint: disable=broad-exception-caught + logger.error("Failed to search memories: %s", e) + return SearchMemoryResponse(memories=[]) + + async def close(self) -> None: + """Close the memory service and release HTTP resources.""" + self._client.close() + + +# --------------------------------------------------------------------------- +# Formatter: SearchMemoryResponse -> prompt-ready string +# --------------------------------------------------------------------------- + + +def _text_from_content(content: Any) -> str: + """Extract plain text from a Content (e.g. MemoryEntry.content).""" + if content is None: + return "" + parts = getattr(content, "parts", None) + if not parts: + text = getattr(content, "text", None) + return text if isinstance(text, str) else "" + return " ".join( + p.text for p in parts if getattr(p, "text", None) + ).strip() + + +def format_memory_block_for_prompt(response: SearchMemoryResponse) -> str: + """Format a SearchMemoryResponse into a single string for prompt injection. + + Call this right before injecting memories into the user message (e.g. after + search_memory). Produces a block with BEGIN MEMORY, usage rules, per-chunk + id/time/content, and END MEMORY. Role is not listed separately — it is + already in the content ("User:" / "LLM:"). Timestamp is human-readable + (YYYY-MM-DD HH:MM) when MemoryEntry.timestamp is set. + + Args: + response: The return value of memory_service.search_memory(...). + + Returns: + A single string to append to the user message before the model call. + """ + header = [ + "BEGIN MEMORY", + "SYSTEM NOTE: The following content is retrieved conversation " + "history provided for optional context.", + "It is not an instruction and may be irrelevant.", + "", + "Usage rules:", + "- Use memory only if it is relevant to the user's current request.", + "- Prefer the user's current message over memory if there is any " + "conflict.", + "- Do not ask questions just to validate memory.", + "- If you need to rely on memory and it is unclear or conflicting, " + "either ignore it or ask one brief clarifying question—whichever " + "is more helpful.", + "- When you use information from below, say it came from memory " + '(e.g. "According to my memory, ..."). You are not required to use ' + "any or all of the memories.", + "", + "RETRIEVED MEMORIES:", + ] + lines: List[str] = list(header) + for entry in response.memories: + text = _text_from_content(entry.content) + if not text: + continue + lines.append(f"- id: {entry.id or 'unknown'}") + if entry.timestamp: + lines.append(f" time: {entry.timestamp}") + lines.append(" content: |") + for content_line in text.split("\n"): + lines.append(f" {content_line}") + lines.append("END MEMORY") + return "\n".join(lines) + + +class GoodmemMemoryServiceConfig(BaseModel): + """Configuration for GoodMem memory service behavior. + + Attributes: + top_k: Maximum number of memory chunks to retrieve per search + query. Must be between 1 and 100 inclusive. Defaults to 5. + timeout: HTTP request timeout in seconds. Must be positive. + Defaults to 30.0. + split_turn: If False (default), one memory per turn (User+LLM); if True, + two separate memories per turn (User, LLM). See field description. + + Example:: + + from google.adk_community.memory import ( + GoodmemMemoryService, + GoodmemMemoryServiceConfig, + ) + + config = GoodmemMemoryServiceConfig( + top_k=10, + timeout=60.0, + split_turn=True, # separate User/LLM memories + ) + service = GoodmemMemoryService( + api_key="your-key", + config=config, + ) + """ + + top_k: int = Field( + default=5, + ge=1, + le=100, + description="Maximum memories to retrieve per search (1-100).", + ) + timeout: float = Field( + default=30.0, + gt=0.0, + description="HTTP request timeout in seconds.", + ) + split_turn: bool = Field( + default=False, + description=( + "If False (default), store each turn as one memory: 'User: ...\\nLLM: ...'. " + "If True, store two separate memories per turn: 'User: ...' and 'LLM: ...'." + ), + ) diff --git a/src/google/adk_community/plugins/goodmem/client.py b/src/google/adk_community/plugins/goodmem/client.py index f6e8a68..c9b59f6 100644 --- a/src/google/adk_community/plugins/goodmem/client.py +++ b/src/google/adk_community/plugins/goodmem/client.py @@ -46,10 +46,7 @@ def __init__(self, base_url: str, api_key: str, debug: bool = False) -> None: """ self._base_url = base_url.rstrip("/") self._api_key = api_key - self._headers = { - "x-api-key": self._api_key, - "Content-Type": "application/json", - } + self._headers = {"x-api-key": self._api_key} self._debug = debug self._client = httpx.Client( base_url=self._base_url, @@ -184,12 +181,14 @@ def insert_memory_binary( data = {"request": json.dumps(request_data)} files = {"file": ("upload", content_bytes, content_type)} - headers = {"x-api-key": self._api_key} if self._debug: print(f"[DEBUG] Making POST request to {url}") response = self._client.post( - url, data=data, files=files, headers=headers, timeout=120.0 + url, + data=data, + files=files, + timeout=120.0, ) if self._debug: print(f"[DEBUG] Response status: {response.status_code}") diff --git a/tests/unittests/memory/test_goodmem_memory_service.py b/tests/unittests/memory/test_goodmem_memory_service.py new file mode 100644 index 0000000..e200810 --- /dev/null +++ b/tests/unittests/memory/test_goodmem_memory_service.py @@ -0,0 +1,849 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Tests for GoodmemMemoryService.""" + +# pylint: disable=protected-access,unused-argument,too-many-public-methods +# pylint: disable=redefined-outer-name + +from __future__ import annotations + +from typing import Generator +from unittest.mock import MagicMock, patch + +import pytest +from google.genai import types + +from google.adk.events.event import Event +from google.adk.memory.base_memory_service import SearchMemoryResponse +from google.adk.memory.memory_entry import MemoryEntry +from google.adk.sessions.session import Session +from google.adk_community.memory.goodmem.goodmem_memory_service import ( + format_memory_block_for_prompt, + GoodmemMemoryService, + GoodmemMemoryServiceConfig, +) + +# Mock constants +MOCK_BASE_URL = "https://api.goodmem.ai/v1" +MOCK_API_KEY = "test-api-key" +MOCK_EMBEDDER_ID = "test-embedder-id" +MOCK_SPACE_ID = "test-space-id" +MOCK_SPACE_NAME = "adk_memory_test-app_test-user" +MOCK_APP_NAME = "test-app" +MOCK_USER_ID = "test-user" +MOCK_SESSION_ID = "test-session" +MOCK_MEMORY_ID = "test-memory-id" + +MOCK_SESSION = Session( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + id=MOCK_SESSION_ID, + last_update_time=1000, + events=[ + Event( + id="event-1", + invocation_id="inv-1", + author="user", + timestamp=12345, + content=types.Content( + parts=[types.Part(text="Hello, I like Python.")] + ), + ), + Event( + id="event-2", + invocation_id="inv-2", + author="model", + timestamp=12346, + content=types.Content( + parts=[ + types.Part(text="Python is a great programming language.") + ] + ), + ), + # Empty event, should be ignored + Event( + id="event-3", + invocation_id="inv-3", + author="user", + timestamp=12347, + ), + # Function call event, should be ignored + Event( + id="event-4", + invocation_id="inv-4", + author="agent", + timestamp=12348, + content=types.Content( + parts=[ + types.Part( + function_call=types.FunctionCall(name="test_function") + ) + ] + ), + ), + ], +) + +MOCK_SESSION_WITH_EMPTY_EVENTS = Session( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + id=MOCK_SESSION_ID, + last_update_time=1000, +) + + +# --------------------------------------------------------------------------- +# GoodmemMemoryServiceConfig +# --------------------------------------------------------------------------- + + +class TestGoodmemMemoryServiceConfig: + """Tests for GoodmemMemoryServiceConfig.""" + + def test_default_config(self) -> None: + config = GoodmemMemoryServiceConfig() + assert config.top_k == 5 + assert config.timeout == 30.0 + assert config.split_turn is False + + def test_custom_config(self) -> None: + config = GoodmemMemoryServiceConfig( + top_k=20, + timeout=10.0, + split_turn=True, + ) + assert config.top_k == 20 + assert config.timeout == 10.0 + assert config.split_turn is True + + def test_config_validation_top_k(self) -> None: + with pytest.raises(Exception): + GoodmemMemoryServiceConfig(top_k=0) + + with pytest.raises(Exception): + GoodmemMemoryServiceConfig(top_k=101) + + +# --------------------------------------------------------------------------- +# GoodmemMemoryService +# --------------------------------------------------------------------------- + +_CLIENT_PATCH = ( + "google.adk_community.memory.goodmem.goodmem_memory_service.GoodmemClient" +) + + +class TestGoodmemMemoryService: + """Tests for GoodmemMemoryService.""" + + @pytest.fixture + def mock_goodmem_client(self) -> Generator[MagicMock, None, None]: + """Mock the shared GoodmemClient.""" + with patch(_CLIENT_PATCH) as mock_cls: + client = MagicMock() + client.list_embedders.return_value = [ + {"embedderId": MOCK_EMBEDDER_ID, "name": "Test Embedder"} + ] + client.list_spaces.return_value = [] + client.create_space.return_value = {"spaceId": MOCK_SPACE_ID} + client.insert_memory.return_value = { + "memoryId": MOCK_MEMORY_ID, + "processingStatus": "COMPLETED", + } + client.insert_memory_binary.return_value = { + "memoryId": MOCK_MEMORY_ID, + "processingStatus": "PROCESSING", + } + client.retrieve_memories.return_value = [] + mock_cls.return_value = client + yield client + + @pytest.fixture + def memory_service( + self, mock_goodmem_client: MagicMock + ) -> GoodmemMemoryService: + return GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + ) + + @pytest.fixture + def memory_service_with_config( + self, mock_goodmem_client: MagicMock + ) -> GoodmemMemoryService: + config = GoodmemMemoryServiceConfig(top_k=5, timeout=10.0) + return GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + config=config, + ) + + # -- constructor / lazy init -------------------------------------------- + + def test_service_initialization_no_network_call( + self, mock_goodmem_client: MagicMock + ) -> None: + """Constructor must not call list_embedders or list_spaces.""" + GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + ) + mock_goodmem_client.list_embedders.assert_not_called() + mock_goodmem_client.list_spaces.assert_not_called() + + def test_service_initialization_stores_embedder_arg( + self, mock_goodmem_client: MagicMock + ) -> None: + service = GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + ) + assert service._embedder_id_arg == MOCK_EMBEDDER_ID + assert service._resolved_embedder_id is None + + def test_service_initialization_requires_api_key(self) -> None: + with pytest.raises(ValueError, match="api_key is required"): + GoodmemMemoryService(base_url=MOCK_BASE_URL, api_key="") + + def test_config_with_custom_timeout( + self, mock_goodmem_client: MagicMock + ) -> None: + config = GoodmemMemoryServiceConfig(timeout=60.0) + service = GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + config=config, + ) + assert service._config.timeout == 60.0 + + # -- embedder resolution ------------------------------------------------ + + def test_embedder_resolved_on_first_space_creation( + self, mock_goodmem_client: MagicMock + ) -> None: + """Embedder is resolved lazily, not in constructor.""" + service = GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + ) + assert service._resolved_embedder_id is None + mock_goodmem_client.list_embedders.assert_not_called() + + service._ensure_space(MOCK_APP_NAME, MOCK_USER_ID) + + assert service._resolved_embedder_id == MOCK_EMBEDDER_ID + mock_goodmem_client.list_embedders.assert_called_once() + + def test_embedder_uses_first_available( + self, mock_goodmem_client: MagicMock + ) -> None: + """When no embedder_id given, first available is used (deterministic).""" + mock_goodmem_client.list_embedders.return_value = [ + {"embedderId": "first-emb", "name": "First"}, + {"embedderId": "second-emb", "name": "Second"}, + ] + service = GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + ) + + service._ensure_space(MOCK_APP_NAME, MOCK_USER_ID) + + assert service._resolved_embedder_id == "first-emb" + mock_goodmem_client.create_space.assert_called_once_with( + MOCK_SPACE_NAME, "first-emb" + ) + + def test_no_embedders_fails_on_first_space( + self, mock_goodmem_client: MagicMock + ) -> None: + """Constructor succeeds; error deferred to first space creation.""" + mock_goodmem_client.list_embedders.return_value = [] + service = GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + ) + with pytest.raises(ValueError, match="No embedders available"): + service._ensure_space(MOCK_APP_NAME, MOCK_USER_ID) + + def test_invalid_embedder_fails_on_first_space( + self, mock_goodmem_client: MagicMock + ) -> None: + service = GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id="invalid-embedder-id", + ) + with pytest.raises(ValueError, match="is not valid"): + service._ensure_space(MOCK_APP_NAME, MOCK_USER_ID) + + # -- space management --------------------------------------------------- + + def test_ensure_space_creates_new_space( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + space_id = memory_service._ensure_space(MOCK_APP_NAME, MOCK_USER_ID) + + mock_goodmem_client.list_spaces.assert_called_once_with( + name=MOCK_SPACE_NAME + ) + mock_goodmem_client.create_space.assert_called_once_with( + MOCK_SPACE_NAME, MOCK_EMBEDDER_ID + ) + assert space_id == MOCK_SPACE_ID + cache_key = f"{MOCK_APP_NAME}:{MOCK_USER_ID}" + assert memory_service._space_cache[cache_key] == MOCK_SPACE_ID + + def test_ensure_space_uses_existing_space( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + mock_goodmem_client.list_spaces.return_value = [ + {"spaceId": "existing-space-id", "name": MOCK_SPACE_NAME} + ] + + space_id = memory_service._ensure_space(MOCK_APP_NAME, MOCK_USER_ID) + + mock_goodmem_client.create_space.assert_not_called() + mock_goodmem_client.list_embedders.assert_not_called() + assert space_id == "existing-space-id" + + def test_ensure_space_uses_cache( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + cache_key = f"{MOCK_APP_NAME}:{MOCK_USER_ID}" + memory_service._space_cache[cache_key] = "cached-space-id" + + space_id = memory_service._ensure_space(MOCK_APP_NAME, MOCK_USER_ID) + + mock_goodmem_client.list_spaces.assert_not_called() + mock_goodmem_client.create_space.assert_not_called() + assert space_id == "cached-space-id" + + # -- add_session_to_memory ---------------------------------------------- + + @pytest.mark.asyncio + async def test_add_session_to_memory_success( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + await memory_service.add_session_to_memory(MOCK_SESSION) + + mock_goodmem_client.insert_memory.assert_called_once() + call_kw = mock_goodmem_client.insert_memory.call_args.kwargs + + assert "User: Hello, I like Python." in call_kw["content"] + assert ( + "LLM: Python is a great programming language." + in call_kw["content"] + ) + assert call_kw["space_id"] == MOCK_SPACE_ID + assert call_kw["metadata"]["app_name"] == MOCK_APP_NAME + assert call_kw["metadata"]["user_id"] == MOCK_USER_ID + assert call_kw["metadata"]["session_id"] == MOCK_SESSION_ID + assert call_kw["metadata"]["source"] == "adk_session" + + @pytest.mark.asyncio + async def test_add_session_filters_empty_events( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + await memory_service.add_session_to_memory( + MOCK_SESSION_WITH_EMPTY_EVENTS + ) + mock_goodmem_client.insert_memory.assert_not_called() + + @pytest.mark.asyncio + async def test_add_session_error_handling( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + mock_goodmem_client.insert_memory.side_effect = Exception("API Error") + await memory_service.add_session_to_memory(MOCK_SESSION) + mock_goodmem_client.insert_memory.assert_called_once() + + @pytest.mark.asyncio + async def test_add_session_separate_user_llm_memories( + self, + mock_goodmem_client: MagicMock, + ) -> None: + """With split_turn=True, two memories per turn.""" + config = GoodmemMemoryServiceConfig( + split_turn=True, + ) + service = GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + config=config, + ) + await service.add_session_to_memory(MOCK_SESSION) + + assert mock_goodmem_client.insert_memory.call_count == 2 + calls = mock_goodmem_client.insert_memory.call_args_list + user_call = calls[0].kwargs + llm_call = calls[1].kwargs + assert user_call["content"] == "User: Hello, I like Python." + assert user_call["metadata"].get("role") == "user" + assert llm_call["content"] == "LLM: Python is a great programming language." + assert llm_call["metadata"].get("role") == "LLM" + + # -- search_memory ------------------------------------------------------ + + @pytest.mark.asyncio + async def test_search_memory_success( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + mock_goodmem_client.retrieve_memories.return_value = [ + { + "retrievedItem": { + "chunk": { + "chunk": { + "chunkText": ( + "User: What is Python?\n" + "LLM: Python is great" + ), + "memoryId": "mem-1", + } + } + } + }, + { + "retrievedItem": { + "chunk": { + "chunk": { + "chunkText": ( + "User: Do you like coding?\n" + "LLM: I like programming" + ), + "memoryId": "mem-2", + } + } + } + }, + ] + + result = await memory_service.search_memory( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + query="Python programming", + ) + + mock_goodmem_client.retrieve_memories.assert_called_once_with( + query="Python programming", + space_ids=[MOCK_SPACE_ID], + request_size=5, + ) + + assert len(result.memories) == 2 + assert "Python is great" in result.memories[0].content.parts[0].text + assert result.memories[0].author == "conversation" + assert result.memories[0].id == "mem-1" + assert ( + "I like programming" in result.memories[1].content.parts[0].text + ) + assert result.memories[1].id == "mem-2" + + @pytest.mark.asyncio + async def test_search_memory_respects_top_k( + self, + memory_service_with_config: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + await memory_service_with_config.search_memory( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + query="test query", + ) + + call_kw = mock_goodmem_client.retrieve_memories.call_args.kwargs + assert call_kw["request_size"] == 5 + + @pytest.mark.asyncio + async def test_search_memory_error_handling( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + mock_goodmem_client.retrieve_memories.side_effect = Exception( + "API Error" + ) + + result = await memory_service.search_memory( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + query="test query", + ) + assert len(result.memories) == 0 + + @pytest.mark.asyncio + async def test_search_memory_empty_response( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + result = await memory_service.search_memory( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + query="test query", + ) + assert len(result.memories) == 0 + + # -- close -------------------------------------------------------------- + + @pytest.mark.asyncio + async def test_close_calls_client_close( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + await memory_service.close() + mock_goodmem_client.close.assert_called_once() + + # -- full flow ---------------------------------------------------------- + + @pytest.mark.asyncio + async def test_full_memory_flow( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + # Add session + await memory_service.add_session_to_memory(MOCK_SESSION) + mock_goodmem_client.insert_memory.assert_called_once() + + # Search + mock_goodmem_client.retrieve_memories.return_value = [ + { + "retrievedItem": { + "chunk": { + "chunk": { + "chunkText": ( + "User: Hello\nLLM: I like Python." + ), + "memoryId": "mem-1", + } + } + } + } + ] + + result = await memory_service.search_memory( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + query="Python", + ) + + mock_goodmem_client.retrieve_memories.assert_called_once() + assert len(result.memories) == 1 + assert "Python" in result.memories[0].content.parts[0].text + + +# --------------------------------------------------------------------------- +# Binary attachments via add_session_to_memory +# --------------------------------------------------------------------------- + + +class TestSessionWithBinaryAttachments: + """Tests for add_session_to_memory with PDF/image attachments.""" + + @pytest.fixture + def mock_goodmem_client(self) -> Generator[MagicMock, None, None]: + with patch(_CLIENT_PATCH) as mock_cls: + client = MagicMock() + client.list_embedders.return_value = [ + {"embedderId": MOCK_EMBEDDER_ID, "name": "Test Embedder"} + ] + client.list_spaces.return_value = [] + client.create_space.return_value = {"spaceId": MOCK_SPACE_ID} + client.insert_memory.return_value = { + "memoryId": MOCK_MEMORY_ID, + "processingStatus": "COMPLETED", + } + client.insert_memory_binary.return_value = { + "memoryId": MOCK_MEMORY_ID, + "processingStatus": "PROCESSING", + } + mock_cls.return_value = client + yield client + + @pytest.fixture + def memory_service( + self, mock_goodmem_client: MagicMock + ) -> GoodmemMemoryService: + return GoodmemMemoryService( + base_url=MOCK_BASE_URL, + api_key=MOCK_API_KEY, + embedder_id=MOCK_EMBEDDER_ID, + ) + + @pytest.mark.asyncio + async def test_session_with_pdf_attachment_only( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + """User uploads PDF without text; LLM responds.""" + pdf_blob = types.Blob( + data=b"%PDF-1.4 fake pdf content", + mime_type="application/pdf", + ) + pdf_blob.display_name = "document.pdf" + + session = Session( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + id=MOCK_SESSION_ID, + last_update_time=1000, + events=[ + Event( + id="event-pdf", + invocation_id="inv-1", + author="user", + timestamp=12345, + content=types.Content( + parts=[types.Part(inline_data=pdf_blob)] + ), + ), + Event( + id="event-response", + invocation_id="inv-1", + author="model", + timestamp=12346, + content=types.Content( + parts=[ + types.Part( + text="This PDF contains information about..." + ) + ] + ), + ), + ], + ) + + await memory_service.add_session_to_memory(session) + + # Binary attachment saved via shared client. + mock_goodmem_client.insert_memory_binary.assert_called_once() + bin_kw = mock_goodmem_client.insert_memory_binary.call_args.kwargs + assert bin_kw["content_bytes"] == b"%PDF-1.4 fake pdf content" + assert bin_kw["content_type"] == "application/pdf" + assert bin_kw["metadata"]["filename"] == "document.pdf" + + # LLM response saved as text (no user text prefix). + mock_goodmem_client.insert_memory.assert_called_once() + txt_kw = mock_goodmem_client.insert_memory.call_args.kwargs + assert "LLM: This PDF contains information about" in txt_kw["content"] + + @pytest.mark.asyncio + async def test_session_with_image_attachment_and_text( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + """User uploads image with a text question.""" + image_blob = types.Blob( + data=b"\x89PNG\r\n\x1a\n fake png", + mime_type="image/png", + ) + image_blob.display_name = "screenshot.png" + + session = Session( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + id=MOCK_SESSION_ID, + last_update_time=1000, + events=[ + Event( + id="event-upload", + invocation_id="inv-1", + author="user", + timestamp=12345, + content=types.Content( + parts=[ + types.Part(inline_data=image_blob), + types.Part(text="What is in this image?"), + ] + ), + ), + Event( + id="event-response", + invocation_id="inv-1", + author="model", + timestamp=12346, + content=types.Content( + parts=[ + types.Part(text="The image shows a chart.") + ] + ), + ), + ], + ) + + await memory_service.add_session_to_memory(session) + + # Image saved as binary. + mock_goodmem_client.insert_memory_binary.assert_called_once() + bin_kw = mock_goodmem_client.insert_memory_binary.call_args.kwargs + assert bin_kw["content_type"] == "image/png" + + # Text conversation paired. + mock_goodmem_client.insert_memory.assert_called_once() + txt_kw = mock_goodmem_client.insert_memory.call_args.kwargs + assert "User: What is in this image?" in txt_kw["content"] + assert "LLM: The image shows a chart." in txt_kw["content"] + + @pytest.mark.asyncio + async def test_session_with_multiple_attachments( + self, + memory_service: GoodmemMemoryService, + mock_goodmem_client: MagicMock, + ) -> None: + """Multiple attachments in a single user event.""" + pdf_blob = types.Blob( + data=b"%PDF-1.4 pdf1", mime_type="application/pdf" + ) + pdf_blob.display_name = "doc1.pdf" + + img_blob = types.Blob( + data=b"\xff\xd8\xff jpeg", mime_type="image/jpeg" + ) + img_blob.display_name = "photo.jpg" + + session = Session( + app_name=MOCK_APP_NAME, + user_id=MOCK_USER_ID, + id=MOCK_SESSION_ID, + last_update_time=1000, + events=[ + Event( + id="event-uploads", + invocation_id="inv-1", + author="user", + timestamp=12345, + content=types.Content( + parts=[ + types.Part(inline_data=pdf_blob), + types.Part(inline_data=img_blob), + ] + ), + ), + Event( + id="event-response", + invocation_id="inv-1", + author="model", + timestamp=12346, + content=types.Content( + parts=[types.Part(text="I see two files.")] + ), + ), + ], + ) + + await memory_service.add_session_to_memory(session) + + # Both attachments saved. + assert mock_goodmem_client.insert_memory_binary.call_count == 2 + + # LLM response saved as text. + mock_goodmem_client.insert_memory.assert_called_once() + + +# --------------------------------------------------------------------------- +# format_memory_block_for_prompt +# --------------------------------------------------------------------------- + + +class TestFormatMemoryBlockForPrompt: + """Tests for format_memory_block_for_prompt.""" + + def test_empty_response(self) -> None: + """Empty response still produces header and footer.""" + response = SearchMemoryResponse(memories=[]) + block = format_memory_block_for_prompt(response) + assert "BEGIN MEMORY" in block + assert "END MEMORY" in block + assert "RETRIEVED MEMORIES:" in block + assert "Usage rules:" in block + + def test_one_chunk_with_timestamp(self) -> None: + """One memory with timestamp produces id, time, content.""" + entry = MemoryEntry( + id="mem-123", + content=types.Content( + parts=[types.Part(text="User: My favorite color is blue.\nLLM: I'll remember.")] + ), + timestamp="2025-02-05 14:30", + ) + response = SearchMemoryResponse(memories=[entry]) + block = format_memory_block_for_prompt(response) + assert "BEGIN MEMORY" in block + assert "END MEMORY" in block + assert "- id: mem-123" in block + assert " time: 2025-02-05 14:30" in block + assert "User: My favorite color is blue." in block + assert "LLM: I'll remember." in block + assert "role:" not in block + + def test_chunk_without_timestamp(self) -> None: + """Chunk without timestamp omits time line.""" + entry = MemoryEntry( + id="mem-456", + content=types.Content(parts=[types.Part(text="User: Hello.")]), + timestamp=None, + ) + response = SearchMemoryResponse(memories=[entry]) + block = format_memory_block_for_prompt(response) + assert "- id: mem-456" in block + assert " content: |" in block + assert "User: Hello." in block + # No time line when timestamp is None + assert " time: " not in block + + def test_multiple_chunks(self) -> None: + """Multiple memories appear in order.""" + entries = [ + MemoryEntry( + id="mem-a", + content=types.Content(parts=[types.Part(text="User: A.\nLLM: B.")]), + timestamp="2025-02-05 14:30", + ), + MemoryEntry( + id="mem-b", + content=types.Content(parts=[types.Part(text="User: C.")]), + timestamp="2025-02-05 14:32", + ), + ] + response = SearchMemoryResponse(memories=entries) + block = format_memory_block_for_prompt(response) + assert block.index("mem-a") < block.index("mem-b") + assert " time: 2025-02-05 14:30" in block + assert " time: 2025-02-05 14:32" in block diff --git a/tests/unittests/plugins/test_goodmem_client.py b/tests/unittests/plugins/test_goodmem_client.py new file mode 100644 index 0000000..ba8eaaf --- /dev/null +++ b/tests/unittests/plugins/test_goodmem_client.py @@ -0,0 +1,500 @@ +# Copyright 2026 pairsys.ai (DBA Goodmem.ai) +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Unit tests for GoodmemClient. + +These tests focus on the HTTP request construction, particularly the binary +upload fix where Content-Type must NOT be set to application/json for +multipart requests. +""" + +import json +from unittest.mock import MagicMock, patch + +import httpx +import pytest + +from google.adk_community.plugins.goodmem import GoodmemClient + + +# Mock constants +MOCK_BASE_URL = "https://api.goodmem.ai" +MOCK_API_KEY = "test-api-key" +MOCK_SPACE_ID = "test-space-id" +MOCK_EMBEDDER_ID = "test-embedder-id" +MOCK_MEMORY_ID = "test-memory-id" + + +class TestGoodmemClientInit: + """Tests for GoodmemClient initialization.""" + + def test_init_sets_base_url(self) -> None: + """Test that base_url is set correctly.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client"): + client = GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) + assert client._base_url == MOCK_BASE_URL + + def test_init_strips_trailing_slash(self) -> None: + """Test that trailing slash is stripped from base_url.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client"): + client = GoodmemClient(f"{MOCK_BASE_URL}/", MOCK_API_KEY) + assert client._base_url == MOCK_BASE_URL + + def test_init_sets_api_key(self) -> None: + """Test that api_key is set correctly.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client"): + client = GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) + assert client._api_key == MOCK_API_KEY + + def test_init_sets_default_headers(self) -> None: + """Test that default headers include api key.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client"): + client = GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) + assert client._headers["x-api-key"] == MOCK_API_KEY + + def test_init_creates_httpx_client(self) -> None: + """Test that httpx.Client is created with correct config.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client") as mock_client_class: + GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) + mock_client_class.assert_called_once() + call_kwargs = mock_client_class.call_args.kwargs + assert call_kwargs["base_url"] == MOCK_BASE_URL + assert call_kwargs["headers"]["x-api-key"] == MOCK_API_KEY + + def test_context_manager(self) -> None: + """Test context manager closes client.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client") as mock_client_class: + mock_client = MagicMock() + mock_client_class.return_value = mock_client + + with GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) as client: + pass + + mock_client.close.assert_called_once() + + +class TestGoodmemClientTextMemory: + """Tests for text memory operations.""" + + @pytest.fixture + def mock_httpx_client(self) -> MagicMock: + """Mock httpx.Client for testing.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client") as mock_client_class: + mock_client = MagicMock() + mock_client_class.return_value = mock_client + yield mock_client + + @pytest.fixture + def client(self, mock_httpx_client: MagicMock) -> GoodmemClient: + """Create GoodmemClient instance for testing.""" + return GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) + + def test_insert_memory_sends_json( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test that insert_memory sends JSON request.""" + mock_response = MagicMock() + mock_response.json.return_value = {"memoryId": MOCK_MEMORY_ID} + mock_httpx_client.post.return_value = mock_response + + result = client.insert_memory( + MOCK_SPACE_ID, "test content", "text/plain", {"key": "value"} + ) + + assert result["memoryId"] == MOCK_MEMORY_ID + mock_httpx_client.post.assert_called_once() + call_kwargs = mock_httpx_client.post.call_args.kwargs + assert call_kwargs["json"]["spaceId"] == MOCK_SPACE_ID + assert call_kwargs["json"]["originalContent"] == "test content" + assert call_kwargs["json"]["contentType"] == "text/plain" + assert call_kwargs["json"]["metadata"] == {"key": "value"} + + def test_insert_memory_without_metadata( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test insert_memory without metadata.""" + mock_response = MagicMock() + mock_response.json.return_value = {"memoryId": MOCK_MEMORY_ID} + mock_httpx_client.post.return_value = mock_response + + client.insert_memory(MOCK_SPACE_ID, "test content", "text/plain") + + call_kwargs = mock_httpx_client.post.call_args.kwargs + assert "metadata" not in call_kwargs["json"] + + +class TestGoodmemClientBinaryMemory: + """Tests for binary memory operations - specifically the Content-Type bug fix.""" + + @pytest.fixture + def mock_httpx_client(self) -> MagicMock: + """Mock httpx.Client for testing.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client") as mock_client_class: + mock_client = MagicMock() + mock_client_class.return_value = mock_client + yield mock_client + + @pytest.fixture + def client(self, mock_httpx_client: MagicMock) -> GoodmemClient: + """Create GoodmemClient instance for testing.""" + return GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) + + def test_insert_memory_binary_no_content_type_header( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test that insert_memory_binary does NOT set Content-Type header. + + httpx automatically sets Content-Type: multipart/form-data for multipart + uploads. We must NOT override this with application/json. + """ + mock_response = MagicMock() + mock_response.json.return_value = {"memoryId": MOCK_MEMORY_ID} + mock_httpx_client.post.return_value = mock_response + + client.insert_memory_binary( + MOCK_SPACE_ID, + b"test binary content", + "application/pdf", + ) + + call_kwargs = mock_httpx_client.post.call_args.kwargs + headers = call_kwargs.get("headers", {}) + + # CRITICAL: Content-Type must NOT be set in headers + # httpx will auto-set multipart/form-data + assert "Content-Type" not in headers + assert "content-type" not in headers + + def test_insert_memory_binary_only_api_key_header( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test that only x-api-key is in headers for binary upload.""" + mock_response = MagicMock() + mock_response.json.return_value = {"memoryId": MOCK_MEMORY_ID} + mock_httpx_client.post.return_value = mock_response + + client.insert_memory_binary( + MOCK_SPACE_ID, + b"test binary content", + "application/pdf", + ) + + call_kwargs = mock_httpx_client.post.call_args.kwargs + headers = call_kwargs.get("headers", {}) + + # Only x-api-key should be set (passed explicitly). + assert headers == {} + + def test_insert_memory_binary_uses_full_url( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test that insert_memory_binary constructs full URL.""" + mock_response = MagicMock() + mock_response.json.return_value = {"memoryId": MOCK_MEMORY_ID} + mock_httpx_client.post.return_value = mock_response + + client.insert_memory_binary( + MOCK_SPACE_ID, + b"test binary content", + "application/pdf", + ) + + # First positional arg is the URL path (base_url is configured on client) + call_args = mock_httpx_client.post.call_args + assert call_args.args[0] == "/v1/memories" + + def test_insert_memory_binary_multipart_structure( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test that insert_memory_binary sends correct multipart structure.""" + mock_response = MagicMock() + mock_response.json.return_value = {"memoryId": MOCK_MEMORY_ID} + mock_httpx_client.post.return_value = mock_response + + file_bytes = b"test binary content" + metadata = {"filename": "test.pdf", "user_id": "user123"} + + client.insert_memory_binary( + MOCK_SPACE_ID, + file_bytes, + "application/pdf", + metadata, + ) + + call_kwargs = mock_httpx_client.post.call_args.kwargs + + # Check data field (request JSON) + assert "data" in call_kwargs + request_json = json.loads(call_kwargs["data"]["request"]) + assert request_json["spaceId"] == MOCK_SPACE_ID + assert request_json["contentType"] == "application/pdf" + assert request_json["metadata"] == metadata + + # Check files field (binary content) + assert "files" in call_kwargs + files = call_kwargs["files"] + assert "file" in files + assert files["file"][0] == "upload" # filename + assert files["file"][1] == file_bytes # content + assert files["file"][2] == "application/pdf" # content type + + def test_insert_memory_binary_without_metadata( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test insert_memory_binary without metadata.""" + mock_response = MagicMock() + mock_response.json.return_value = {"memoryId": MOCK_MEMORY_ID} + mock_httpx_client.post.return_value = mock_response + + client.insert_memory_binary( + MOCK_SPACE_ID, + b"test binary content", + "application/pdf", + # No metadata + ) + + call_kwargs = mock_httpx_client.post.call_args.kwargs + request_json = json.loads(call_kwargs["data"]["request"]) + assert "metadata" not in request_json + + def test_insert_memory_binary_timeout( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test that insert_memory_binary uses longer timeout for large uploads.""" + mock_response = MagicMock() + mock_response.json.return_value = {"memoryId": MOCK_MEMORY_ID} + mock_httpx_client.post.return_value = mock_response + + client.insert_memory_binary( + MOCK_SPACE_ID, + b"test binary content", + "application/pdf", + ) + + call_kwargs = mock_httpx_client.post.call_args.kwargs + assert call_kwargs["timeout"] == 120.0 # Longer timeout for binary + + def test_insert_memory_binary_raises_on_http_error( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test that insert_memory_binary raises on HTTP errors.""" + mock_response = MagicMock() + mock_response.raise_for_status.side_effect = httpx.HTTPStatusError( + "Bad Request", + request=MagicMock(), + response=MagicMock(status_code=400), + ) + mock_httpx_client.post.return_value = mock_response + + with pytest.raises(httpx.HTTPStatusError): + client.insert_memory_binary( + MOCK_SPACE_ID, + b"test binary content", + "application/pdf", + ) + + +class TestGoodmemClientDebugMode: + """Tests for debug mode.""" + + def test_debug_mode_disabled_by_default(self) -> None: + """Test that debug mode is disabled by default.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client"): + client = GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) + assert client._debug is False + + def test_debug_mode_can_be_enabled(self) -> None: + """Test that debug mode can be enabled.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client"): + client = GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY, debug=True) + assert client._debug is True + + +class TestGoodmemClientSpaces: + """Tests for space operations.""" + + @pytest.fixture + def mock_httpx_client(self) -> MagicMock: + """Mock httpx.Client for testing.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client") as mock_client_class: + mock_client = MagicMock() + mock_client_class.return_value = mock_client + yield mock_client + + @pytest.fixture + def client(self, mock_httpx_client: MagicMock) -> GoodmemClient: + """Create GoodmemClient instance for testing.""" + return GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) + + def test_create_space( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test creating a space.""" + mock_response = MagicMock() + mock_response.json.return_value = {"spaceId": MOCK_SPACE_ID} + mock_httpx_client.post.return_value = mock_response + + result = client.create_space("test-space", MOCK_EMBEDDER_ID) + + assert result["spaceId"] == MOCK_SPACE_ID + call_kwargs = mock_httpx_client.post.call_args.kwargs + assert call_kwargs["json"]["name"] == "test-space" + assert call_kwargs["json"]["spaceEmbedders"][0]["embedderId"] == MOCK_EMBEDDER_ID + + def test_list_spaces_no_filter( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test listing spaces without filter.""" + mock_response = MagicMock() + mock_response.json.return_value = { + "spaces": [{"spaceId": "s1"}, {"spaceId": "s2"}] + } + mock_httpx_client.get.return_value = mock_response + + result = client.list_spaces() + + assert len(result) == 2 + mock_httpx_client.get.assert_called_once() + call_kwargs = mock_httpx_client.get.call_args.kwargs + assert "nameFilter" not in call_kwargs["params"] + + def test_list_spaces_with_name_filter( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test listing spaces with name filter.""" + mock_response = MagicMock() + mock_response.json.return_value = { + "spaces": [{"spaceId": "s1", "name": "test-space"}] + } + mock_httpx_client.get.return_value = mock_response + + result = client.list_spaces(name="test-space") + + assert len(result) == 1 + call_kwargs = mock_httpx_client.get.call_args.kwargs + assert call_kwargs["params"]["nameFilter"] == "test-space" + + def test_list_spaces_pagination( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test listing spaces with pagination.""" + # First page returns nextToken + mock_response1 = MagicMock() + mock_response1.json.return_value = { + "spaces": [{"spaceId": "s1"}], + "nextToken": "token123", + } + # Second page returns no nextToken + mock_response2 = MagicMock() + mock_response2.json.return_value = { + "spaces": [{"spaceId": "s2"}], + } + mock_httpx_client.get.side_effect = [mock_response1, mock_response2] + + result = client.list_spaces() + + assert len(result) == 2 + assert mock_httpx_client.get.call_count == 2 + + +class TestGoodmemClientRetrieve: + """Tests for memory retrieval.""" + + @pytest.fixture + def mock_httpx_client(self) -> MagicMock: + """Mock httpx.Client for testing.""" + with patch("google.adk_community.plugins.goodmem.client.httpx.Client") as mock_client_class: + mock_client = MagicMock() + mock_client_class.return_value = mock_client + yield mock_client + + @pytest.fixture + def client(self, mock_httpx_client: MagicMock) -> GoodmemClient: + """Create GoodmemClient instance for testing.""" + return GoodmemClient(MOCK_BASE_URL, MOCK_API_KEY) + + def test_retrieve_memories_parses_ndjson( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test that retrieve_memories correctly parses NDJSON response.""" + mock_response = MagicMock() + ndjson = "\n".join([ + '{"retrievedItem": {"chunk": {"chunk": {"chunkText": "text1"}}}}', + '{"status": "complete"}', + '{"retrievedItem": {"chunk": {"chunk": {"chunkText": "text2"}}}}', + ]) + mock_response.text = ndjson + mock_httpx_client.post.return_value = mock_response + + result = client.retrieve_memories("query", [MOCK_SPACE_ID]) + + # Only items with retrievedItem should be returned + assert len(result) == 2 + + def test_retrieve_memories_sends_correct_payload( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test retrieve_memories sends correct payload.""" + mock_response = MagicMock() + mock_response.text = "" + mock_httpx_client.post.return_value = mock_response + + client.retrieve_memories("test query", ["space1", "space2"], request_size=10) + + call_kwargs = mock_httpx_client.post.call_args.kwargs + assert call_kwargs["json"]["message"] == "test query" + assert call_kwargs["json"]["requestedSize"] == 10 + assert call_kwargs["json"]["spaceKeys"] == [ + {"spaceId": "space1"}, + {"spaceId": "space2"}, + ] + + def test_get_memory_by_id_url_encodes( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test that get_memory_by_id URL-encodes the memory ID.""" + mock_response = MagicMock() + mock_response.json.return_value = {"memoryId": "mem/123"} + mock_httpx_client.get.return_value = mock_response + + client.get_memory_by_id("mem/123") + + call_args = mock_httpx_client.get.call_args + # / should be encoded as %2F + assert "%2F" in call_args.args[0] + + def test_get_memories_batch( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test batch get of memories.""" + mock_response = MagicMock() + mock_response.json.return_value = { + "memories": [{"memoryId": "m1"}, {"memoryId": "m2"}] + } + mock_httpx_client.post.return_value = mock_response + + result = client.get_memories_batch(["m1", "m2"]) + + assert len(result) == 2 + call_kwargs = mock_httpx_client.post.call_args.kwargs + assert set(call_kwargs["json"]["memoryIds"]) == {"m1", "m2"} + + def test_get_memories_batch_empty_list( + self, client: GoodmemClient, mock_httpx_client: MagicMock + ) -> None: + """Test batch get with empty list doesn't call API.""" + result = client.get_memories_batch([]) + + assert result == [] + mock_httpx_client.post.assert_not_called() From bcb413acf9f71735b6a4422e398bf103446c1b31 Mon Sep 17 00:00:00 2001 From: Forrest Bao Date: Thu, 5 Feb 2026 20:08:08 -0800 Subject: [PATCH 5/5] enable goodmem_tools to save binary files --- .../tools/goodmem/goodmem_tools.py | 136 +++++++++++++++++- 1 file changed, 129 insertions(+), 7 deletions(-) diff --git a/src/google/adk_community/tools/goodmem/goodmem_tools.py b/src/google/adk_community/tools/goodmem/goodmem_tools.py index 0815ac2..7a876f8 100644 --- a/src/google/adk_community/tools/goodmem/goodmem_tools.py +++ b/src/google/adk_community/tools/goodmem/goodmem_tools.py @@ -218,6 +218,53 @@ def _extract_chunk_data(item: object) -> Optional[ChunkData]: } +def _is_mime_type_supported(mime_type: str) -> bool: + """Checks if a MIME type is supported by Goodmem's TextContentExtractor. + + Based on the Goodmem source code, TextContentExtractor supports: + - All text/* MIME types + - application/pdf + - application/rtf + - application/msword (.doc) + - application/vnd.openxmlformats-officedocument.wordprocessingml.document (.docx) + - Any MIME type containing "+xml" (e.g., application/xhtml+xml) + - Any MIME type containing "json" (e.g., application/json) + + Args: + mime_type: The MIME type to check (e.g., "image/png", "application/pdf"). + + Returns: + True if the MIME type is supported by Goodmem, False otherwise. + """ + if not mime_type: + return False + + mime_type_lower = mime_type.lower() + + # All text/* types are supported + if mime_type_lower.startswith("text/"): + return True + + # Specific application types + if mime_type_lower in ( + "application/pdf", + "application/rtf", + "application/msword", + "application/vnd.openxmlformats-officedocument.wordprocessingml.document", + ): + return True + + # XML-based formats (contains "+xml") + if "+xml" in mime_type_lower: + return True + + # JSON formats (contains "json") + if "json" in mime_type_lower: + return True + + return False + + def _get_client(base_url: str, api_key: str, debug: bool) -> GoodmemClient: """Get or create a cached GoodmemClient instance. @@ -383,7 +430,11 @@ class GoodmemSaveResponse(BaseModel): description="Whether the write operation was successful" ) memory_id: Optional[str] = Field( - default=None, description="The ID of the created memory in Goodmem" + default=None, description="The ID of the created text memory in Goodmem" + ) + attachments_saved: int = Field( + default=0, + description="Number of binary file attachments saved to Goodmem" ) message: str = Field(description="Status message") @@ -404,22 +455,33 @@ async def goodmem_save( worth remembering - After solving problems or making decisions worth remembering - Proactively save context that would help in future conversations + - When the user uploads a file(s) - When the user asks you to remember something + FILE ATTACHMENTS: If the user uploaded a file(s) (PDF, document, etc.), + this tool will AUTOMATICALLY save the binary file to Goodmem (if the + MIME type is supported). + + Supported file types: text/*, application/pdf, application/rtf, + application/msword, .docx, XML-based formats, JSON formats. + Unsupported types (images, video, zip, etc.) are skipped. + CRITICAL: Always confirm to the user what you saved. Check the 'success' field - in the response - only claim you saved something if success=True. + and 'attachments_saved' count in the response. METADATA: user_id and session_id are automatically captured from context. Args: - content: The text content to write to memory storage (plain text only). + content: The text content to write to memory storage. For file attachments, + provide a summary of the file's contents so it's searchable. tool_context: The tool execution context (automatically provided by ADK). base_url: The base URL for the Goodmem API (required). api_key: The API key for authentication (required). embedder_id: Optional embedder ID to use when creating new spaces. Returns: - A GoodmemSaveResponse containing the operation status and memory ID. + A GoodmemSaveResponse containing the operation status, memory ID, and + number of file attachments saved. """ if debug: print("[DEBUG] goodmem_save called") @@ -486,9 +548,9 @@ async def goodmem_save( if hasattr(tool_context.session, "id"): metadata["session_id"] = tool_context.session.id - # Insert memory into Goodmem + # Insert text memory into Goodmem if debug: - print(f"[DEBUG] Inserting memory into space {space_id}") + print(f"[DEBUG] Inserting text memory into space {space_id}") response = client.insert_memory( space_id=space_id, content=content, @@ -500,10 +562,70 @@ async def goodmem_save( if debug: print(f"[DEBUG] Goodmem insert response memory_id={memory_id}") + # Also save any binary attachments from the user's message + attachments_saved = 0 + user_content = getattr(tool_context, "user_content", None) + if user_content and hasattr(user_content, "parts") and user_content.parts: + for part in user_content.parts: + inline_data = getattr(part, "inline_data", None) + if not inline_data: + continue + + data = getattr(inline_data, "data", None) + if not data or not isinstance(data, bytes): + continue + + mime_type = getattr(inline_data, "mime_type", None) or "application/octet-stream" + display_name = getattr(inline_data, "display_name", None) + + # Only save supported MIME types + if not _is_mime_type_supported(mime_type): + if debug: + print( + f"[DEBUG] Skipping unsupported MIME type: {mime_type} " + f"(file: {display_name or 'unnamed'})" + ) + continue + + # Build metadata for the attachment + attachment_metadata = dict(metadata) # Copy base metadata + if display_name: + attachment_metadata["filename"] = display_name + + try: + if debug: + print( + f"[DEBUG] Saving binary attachment: {display_name or 'unnamed'} " + f"({mime_type}, {len(data)} bytes)" + ) + client.insert_memory_binary( + space_id=space_id, + content_bytes=data, + content_type=mime_type, + metadata=attachment_metadata if attachment_metadata else None, + ) + attachments_saved += 1 + if debug: + print(f"[DEBUG] Binary attachment saved successfully") + except Exception as attach_err: + if debug: + print(f"[DEBUG] Failed to save binary attachment: {attach_err}") + # Continue with other attachments even if one fails + + # Build success message + if attachments_saved > 0: + message = ( + f"Successfully wrote content to memory (ID: {memory_id}) " + f"and saved {attachments_saved} file attachment(s)." + ) + else: + message = f"Successfully wrote content to memory. Memory ID: {memory_id}" + return GoodmemSaveResponse( success=True, memory_id=memory_id, - message=f"Successfully wrote content to memory. Memory ID: {memory_id}", + attachments_saved=attachments_saved, + message=message, ) except Exception as e: