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ci: regenerated with OpenAPI Doc 1.0, Speakeay CLI 1.15.0
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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 1.13.0 https://github.com/speakeasy-api/speakeasy
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### Releases
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- [PyPI v0.6.0] https://pypi.org/project/codat-assess/0.6.0 - assess
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- [PyPI v0.6.0] https://pypi.org/project/codat-assess/0.6.0 - assess
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## 2023-03-23 00:12:25
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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 1.15.0 (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

assess/gen.yaml

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configVersion: 1.0.0
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management:
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docChecksum: ef07474bdf5c9e85370b2557c3764749
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docChecksum: 0eb80ea50fc6184a6523985fd82d37a9
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docVersion: "1.0"
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speakeasyVersion: 1.13.0
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speakeasyVersion: 1.15.0
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generationVersion: 2.13.1
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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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python:
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version: 0.6.0
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version: 0.6.1
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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/setup.py

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setuptools.setup(
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name="codat-assess",
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version="0.6.0",
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version="0.6.1",
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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_account_category.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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detail_type: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('detailType'), 'exclude': lambda f: f is None }})
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r"""Most granular chart of account type."""
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modified_date: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('modifiedDate'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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modified_date: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('modifiedDate'), 'exclude': lambda f: f is None }})
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r"""The date on which this record was last modified in Codat."""
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subtype: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('subtype'), 'exclude': lambda f: f is None }})
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r"""The account subtype."""

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

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2. Information about the dimension contained in the reports such as:
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a. The type of dimension (e.g. datetime, recordRef).
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b. The display name of the dimension (e.g. Period, Category type, Category sub type).
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c. The details about each item within the dimension (e.g. displayName:"Jan 2022", start:"...", end:"...", id:"...", name:"...").
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c. The details about each item within the dimension (e.g. displayName:\"Jan 2022\", start:\"...\", end:\"...\", id:\"...\", name:\"...\").
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3. Information about the measures contained in the report such as:
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a. The display name of the measure (e.g. value of account, percentage change).
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b. The type of the measure (e.g. currency, percentage).

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

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There are only a very small number of edge cases where this currency code is returned by the Codat system.
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"""
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generated_date: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('generatedDate'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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generated_date: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('generatedDate'), 'exclude': lambda f: f is None }})
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r"""The date the report was generated."""
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report_name: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('reportName'), 'exclude': lambda f: f is None }})
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r"""The name of the report."""

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

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There are only a very small number of edge cases where this currency code is returned by the Codat system.
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"""
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generated_date: Optional[datetime] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('generatedDate'), 'encoder': utils.datetimeisoformat(True), 'decoder': dateutil.parser.isoparse, 'mm_field': fields.DateTime(format='iso'), 'exclude': lambda f: f is None }})
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generated_date: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('generatedDate'), 'exclude': lambda f: f is None }})
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r"""The date the report was generated."""
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report_name: Optional[str] = dataclasses.field(default=None, metadata={'dataclasses_json': { 'letter_case': utils.get_field_name('reportName'), 'exclude': lambda f: f is None }})
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r"""The name of the report."""

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

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2. Information about the dimension contained in the reports such as:
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a. The type of dimension (e.g. datetime, recordRef).
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b. The display name of the dimension (e.g. Period, Category type, Category sub type).
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c. The details about each item within the dimension (e.g. displayName:"Jan 2022", start:"...", end:"...", id:"...", name:"...").
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c. The details about each item within the dimension (e.g. displayName:\"Jan 2022\", start:\"...\", end:\"...\", id:\"...\", name:\"...\").
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3. Information about the measures contained in the report such as:
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a. The display name of the measure (e.g. value of account, percentage change).
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b. The type of the measure (e.g. currency, percentage).

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

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2. Information about the dimension contained in the reports such as:
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a. The type of dimension (e.g. datetime, recordRef).
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b. The display name of the dimension (e.g. Period, Category type, Category sub type).
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c. The details about each item within the dimension (e.g. displayName:"Jan 2022", start:"...", end:"...", id:"...", name:"...").
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c. The details about each item within the dimension (e.g. displayName:\"Jan 2022\", start:\"...\", end:\"...\", id:\"...\", name:\"...\").
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3. Information about the measures contained in the report such as:
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a. The display name of the measure (e.g. value of account, percentage change).
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b. The type of the measure (e.g. currency, percentage).

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

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2. Information about the dimension contained in the reports such as:
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a. The type of dimension (e.g. datetime, recordRef).
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b. The display name of the dimension (e.g. Period, Category type, Category sub type).
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c. The details about each item within the dimension (e.g. displayName:"Jan 2022", start:"...", end:"...", id:"...", name:"...").
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c. The details about each item within the dimension (e.g. displayName:\"Jan 2022\", start:\"...\", end:\"...\", id:\"...\", name:\"...\").
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3. Information about the measures contained in the report such as:
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a. The display name of the measure (e.g. value of account, percentage change).
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b. The type of the measure (e.g. currency, percentage).

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