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Add bulk document upload and pre-commit hook for knowledge base (#72)
## Summary This PR introduces bulk document upload functionality to the `DocumentClient` and adds a new model for document list items, supporting the knowledge base feature. A Git pre-commit hook is also added to enforce code quality checks before commits. ## Key Accomplishments - **Bulk Document Upload**: Extended `DocumentClient` with a new method to support uploading multiple documents in a single operation, streamlining batch ingestion workflows for the knowledge base. - **New Document List Item Model**: Added the `DocumentListItem` model to represent individual documents within a collection, providing a structured data type for list/bulk operations. - **Pre-commit Hook**: Introduced a `.githooks/pre-commit` hook to automate code quality checks as part of the local development workflow, catching issues before they reach the remote repository. ## Changes Breakdown | File | Change Type | Description | |------|-------------|-------------| | `robosystems_client/extensions/document_client.py` | Modified | Added bulk upload method to `DocumentClient` | | `robosystems_client/models/document_list_item.py` | Modified | Added `DocumentListItem` model with document metadata fields | | `.githooks/pre-commit` | Added | New pre-commit hook for automated code quality enforcement | ## Breaking Changes None. This is a purely additive change — existing APIs and models remain unaffected. ## Testing Notes - Verify that the new bulk upload method correctly handles multiple document payloads and returns expected responses. - Test edge cases for bulk uploads: empty lists, large batches, and mixed valid/invalid documents. - Confirm that `DocumentListItem` serializes and deserializes correctly when used in API responses. - Ensure the pre-commit hook executes successfully in a local development environment and does not block valid commits. ## Infrastructure Considerations - Developers should configure their local Git installation to use the project's hooks directory to benefit from the newly added pre-commit hook. This may require a one-time local setup step. - The bulk upload endpoint should be evaluated for payload size limits and timeout configurations on the server side to ensure it handles large batch requests gracefully. --- 🤖 Generated with [Claude Code](https://claude.ai/code) **Branch Info:** - Source: `feature/knowledge-base` - Target: `main` - Type: feature Co-Authored-By: Claude <noreply@anthropic.com>
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.githooks/pre-commit

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#!/usr/bin/env bash
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set -euo pipefail
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uv run ruff check .
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uv run ruff format --check .
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uv run basedpyright
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uv run pytest

robosystems_client/extensions/document_client.py

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from ..api.documents.delete_document import sync_detailed as delete_document
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from ..api.documents.list_documents import sync_detailed as list_documents
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from ..api.documents.upload_document import sync_detailed as upload_document
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from ..api.documents.upload_documents_bulk import sync_detailed as upload_documents_bulk
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from ..api.search.get_document_section import sync_detailed as get_document_section
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from ..api.search.search_documents import sync_detailed as search_documents
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from ..client import AuthenticatedClient
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from ..models.document_list_response import DocumentListResponse
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from ..models.document_section import DocumentSection
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from ..models.bulk_document_upload_request import BulkDocumentUploadRequest
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from ..models.bulk_document_upload_response import BulkDocumentUploadResponse
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from ..models.document_upload_request import DocumentUploadRequest
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from ..models.document_upload_response import DocumentUploadResponse
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from ..models.search_request import SearchRequest
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return results
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def upload_bulk(
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self,
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graph_id: str,
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documents: List[Dict[str, Any]],
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) -> BulkDocumentUploadResponse:
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"""Upload multiple markdown documents (max 50 per request).
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Args:
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graph_id: Target graph ID.
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documents: List of dicts with keys: title, content, and
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optionally tags, folder, external_id.
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Returns:
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BulkDocumentUploadResponse with per-document results.
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"""
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items = []
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for doc in documents:
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items.append(
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DocumentUploadRequest(
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title=doc["title"],
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content=doc["content"],
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tags=doc.get("tags", UNSET),
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folder=doc.get("folder", UNSET),
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external_id=doc.get("external_id", UNSET),
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)
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)
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body = BulkDocumentUploadRequest(documents=items)
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client = self._get_client()
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response = upload_documents_bulk(graph_id=graph_id, client=client, body=body)
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if response.status_code != HTTPStatus.OK:
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raise Exception(
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f"Bulk upload failed ({response.status_code}): {response.content.decode()}"
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)
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return response.parsed
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def search(
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self,
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graph_id: str,

robosystems_client/models/document_list_item.py

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"""A document in the document list.
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Attributes:
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document_id (str):
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document_title (str):
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section_count (int):
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source_type (str):
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last_indexed (None | str | Unset):
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"""
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document_id: str
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document_title: str
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section_count: int
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source_type: str
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additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
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def to_dict(self) -> dict[str, Any]:
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document_id = self.document_id
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document_title = self.document_title
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section_count = self.section_count
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field_dict.update(self.additional_properties)
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field_dict.update(
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{
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"document_id": document_id,
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"document_title": document_title,
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"section_count": section_count,
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"source_type": source_type,
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@classmethod
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def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
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d = dict(src_dict)
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document_id = d.pop("document_id")
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document_title = d.pop("document_title")
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section_count = d.pop("section_count")
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last_indexed = _parse_last_indexed(d.pop("last_indexed", UNSET))
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document_list_item = cls(
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document_id=document_id,
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document_title=document_title,
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section_count=section_count,
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source_type=source_type,

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