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ci: regenerated with OpenAPI Doc 1.0, Speakeay CLI 1.16.1
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‎assess/RELEASES.md‎

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- OpenAPI Doc 1.0 https://raw.githubusercontent.com/codatio/oas/main/yaml/Codat-Assess.yaml
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- Speakeasy CLI 1.15.0 (2.13.1) https://github.com/speakeasy-api/speakeasy
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### Releases
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- [PyPI v0.6.1] https://pypi.org/project/codat-assess/0.6.1 - assess
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- [PyPI v0.6.1] https://pypi.org/project/codat-assess/0.6.1 - assess
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## 2023-03-23 16:30:22
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### Changes
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Based on:
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- OpenAPI Doc 1.0 https://raw.githubusercontent.com/codatio/oas/main/yaml/Codat-Assess.yaml
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- Speakeasy CLI 1.16.1 (2.14.1) https://github.com/speakeasy-api/speakeasy
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### Releases
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- [PyPI v0.7.0] https://pypi.org/project/codat-assess/0.7.0 - assess

‎assess/gen.yaml‎

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configVersion: 1.0.0
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management:
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docChecksum: 0eb80ea50fc6184a6523985fd82d37a9
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docChecksum: 47e9bfa7a2d5ef130bad4ea1dbb51b2e
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docVersion: "1.0"
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speakeasyVersion: 1.15.0
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generationVersion: 2.13.1
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speakeasyVersion: 1.16.1
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generationVersion: 2.14.1
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generation:
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telemetryEnabled: false
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sdkClassName: codat
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sdkFlattening: true
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singleTagPerOp: false
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python:
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version: 0.6.1
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version: 0.7.0
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author: Speakeasy
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description: Python Client SDK Generated by Speakeasy
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packageName: codat-assess

‎assess/pylintrc‎

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@@ -438,7 +438,8 @@ disable=raw-checker-failed,
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duplicate-code,
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trailing-newlines,
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too-many-public-methods,
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too-many-locals
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too-many-locals,
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too-many-lines
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# Enable the message, report, category or checker with the given id(s). You can
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# either give multiple identifier separated by comma (,) or put this option

‎assess/setup.py‎

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setuptools.setup(
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name="codat-assess",
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version="0.6.1",
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version="0.7.0",
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author="Speakeasy",
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description="Python Client SDK Generated by Speakeasy",
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long_description=long_description,

‎assess/src/codat/models/operations/get_accounts_for_enhanced_balance_sheet.py‎

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from __future__ import annotations
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import dataclasses
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import dateutil.parser
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import requests as requests_http
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from codat import utils
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from dataclasses_json import Undefined, dataclass_json
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from datetime import datetime
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from marshmallow import fields
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from typing import Optional
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@@ -67,7 +64,27 @@ class GetAccountsForEnhancedBalanceSheetEnhancedReportReportItems:
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r"""The unique account ID."""
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account_name: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('accountName'), 'exclude': lambda f: f is None }})
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balance: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('balance'), 'exclude': lambda f: f is None }})
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date_: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('date'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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date_: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('date'), 'exclude': lambda f: f is None }})
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r"""In Codat's data model, dates and times are represented using the <a class=\"external\" href=\"https://en.wikipedia.org/wiki/ISO_8601\" target=\"_blank\">ISO 8601 standard</a>. Date and time fields are formatted as strings; for example:
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```
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2020-10-08T22:40:50Z
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2021-01-01T00:00:00
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```
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When syncing data that contains `DateTime` fields from Codat, make sure you support the following cases when reading time information:
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- Coordinated Universal Time (UTC): `2021-11-15T06:00:00Z`
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- Unqualified local time: `2021-11-15T01:00:00`
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- UTC time offsets: `2021-11-15T01:00:00-05:00`
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> 📘 Time zones
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>
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> Not all dates from Codat will contain information about time zones.
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> Where it is not available from the underlying platform, Codat will return these as times local to the business whose data has been synced.
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"""
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@dataclass_json(undefined=Undefined.EXCLUDE)

‎assess/src/codat/models/operations/get_accounts_for_enhanced_profit_and_loss.py‎

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from __future__ import annotations
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import dataclasses
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import dateutil.parser
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import requests as requests_http
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from codat import utils
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from dataclasses_json import Undefined, dataclass_json
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from datetime import datetime
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from marshmallow import fields
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from typing import Optional
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@@ -67,7 +64,27 @@ class GetAccountsForEnhancedProfitAndLossEnhancedReportReportItems:
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r"""The unique account ID."""
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account_name: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('accountName'), 'exclude': lambda f: f is None }})
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balance: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('balance'), 'exclude': lambda f: f is None }})
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date_: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('date'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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date_: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('date'), 'exclude': lambda f: f is None }})
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r"""In Codat's data model, dates and times are represented using the <a class=\"external\" href=\"https://en.wikipedia.org/wiki/ISO_8601\" target=\"_blank\">ISO 8601 standard</a>. Date and time fields are formatted as strings; for example:
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```
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2020-10-08T22:40:50Z
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2021-01-01T00:00:00
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```
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When syncing data that contains `DateTime` fields from Codat, make sure you support the following cases when reading time information:
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- Coordinated Universal Time (UTC): `2021-11-15T06:00:00Z`
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- Unqualified local time: `2021-11-15T01:00:00`
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- UTC time offsets: `2021-11-15T01:00:00-05:00`
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> 📘 Time zones
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>
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> Not all dates from Codat will contain information about time zones.
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> Where it is not available from the underlying platform, Codat will return these as times local to the business whose data has been synced.
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"""
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@dataclass_json(undefined=Undefined.EXCLUDE)

‎assess/src/codat/models/operations/get_data_integrity_details.py‎

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from __future__ import annotations
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import dataclasses
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import dateutil.parser
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import requests as requests_http
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from codat import utils
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from dataclasses_json import Undefined, dataclass_json
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from datetime import datetime
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from enum import Enum
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from marshmallow import fields
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from typing import Optional
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class GetDataIntegrityDetailsDataTypeEnum(str, Enum):
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r"""ID GUID representing the connection of the accounting or banking platform."""
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currency: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('currency'), 'exclude': lambda f: f is None }})
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r"""The currency of the transaction."""
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date_: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('date'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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date_: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('date'), 'exclude': lambda f: f is None }})
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r"""The date of the transaction."""
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description: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('description'), 'exclude': lambda f: f is None }})
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r"""The transaction description."""

‎assess/src/codat/models/operations/get_data_integrity_status.py‎

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from __future__ import annotations
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import dataclasses
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import dateutil.parser
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import requests as requests_http
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from codat import utils
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from dataclasses_json import Undefined, dataclass_json
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from datetime import datetime
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from enum import Enum
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from marshmallow import fields
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from typing import Optional
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class GetDataIntegrityStatusDataTypeEnum(str, Enum):
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class GetDataIntegrityStatus200ApplicationJSONDataIntegrityTypeDates:
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r"""Only returned for transactions. For accounts, there is nothing returned."""
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max_date: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('maxDate'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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max_date: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('maxDate'), 'exclude': lambda f: f is None }})
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r"""Latest date of transaction set."""
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max_overlapping_date: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('maxOverlappingDate'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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max_overlapping_date: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('maxOverlappingDate'), 'exclude': lambda f: f is None }})
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r"""Latest date where transactions exist in both account and banking platforms."""
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min_date: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('minDate'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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min_date: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('minDate'), 'exclude': lambda f: f is None }})
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r"""Earliest date of transaction set."""
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min_overlapping_date: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('minOverlappingDate'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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min_overlapping_date: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('minOverlappingDate'), 'exclude': lambda f: f is None }})
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r"""Earliest date where transactions exist in both accounting and banking platforms."""
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class GetDataIntegrityStatus200ApplicationJSONDataIntegrityTypeStatusInfoCurrentStatusEnum(str, Enum):
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current_status: Optional[GetDataIntegrityStatus200ApplicationJSONDataIntegrityTypeStatusInfoCurrentStatusEnum] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('currentStatus'), 'exclude': lambda f: f is None }})
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r"""The current status of the most recently run matching algorithm."""
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last_matched: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('lastMatched'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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last_matched: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('lastMatched'), 'exclude': lambda f: f is None }})
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r"""The date the matching algorithm last ran against the company’s data type specified."""
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status_message: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('statusMessage'), 'exclude': lambda f: f is None }})
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r"""Detailed explanation supporting the status value."""

‎assess/src/codat/models/operations/get_enhanced_cash_flow_transactions.py‎

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from __future__ import annotations
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import dataclasses
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import dateutil.parser
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import requests as requests_http
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from codat import utils
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from dataclasses_json import Undefined, dataclass_json
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from datetime import datetime
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from marshmallow import fields
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from typing import Optional
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amount: Optional[float] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('amount'), 'exclude': lambda f: f is None }})
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currency: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('currency'), 'exclude': lambda f: f is None }})
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date_: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('date'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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date_: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('date'), 'exclude': lambda f: f is None }})
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r"""In Codat's data model, dates and times are represented using the <a class=\"external\" href=\"https://en.wikipedia.org/wiki/ISO_8601\" target=\"_blank\">ISO 8601 standard</a>. Date and time fields are formatted as strings; for example:
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```
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2020-10-08T22:40:50Z
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2021-01-01T00:00:00
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```
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When syncing data that contains `DateTime` fields from Codat, make sure you support the following cases when reading time information:
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- Coordinated Universal Time (UTC): `2021-11-15T06:00:00Z`
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- Unqualified local time: `2021-11-15T01:00:00`
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- UTC time offsets: `2021-11-15T01:00:00-05:00`
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> 📘 Time zones
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>
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> Not all dates from Codat will contain information about time zones.
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> Where it is not available from the underlying platform, Codat will return these as times local to the business whose data has been synced.
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"""
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description: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('description'), 'exclude': lambda f: f is None }})
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id: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('id'), 'exclude': lambda f: f is None }})
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source_ref: Optional[GetEnhancedCashFlowTransactionsEnhancedCashFlowTransactionsReportItemsTransactionsReportSourceRef] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('sourceRef'), 'exclude': lambda f: f is None }})

‎assess/src/codat/models/operations/get_enhanced_financial_metrics.py‎

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from __future__ import annotations
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import dataclasses
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import dateutil.parser
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import requests as requests_http
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from codat import utils
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from dataclasses_json import Undefined, dataclass_json

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