Icone field device feed models

[jacob6838]

Adding pydantic models for WZDx field device feed

[dmccoystephenson]

Issue (blocking): The 'pydantic' module is not included in the requirements.txt file, requiring the user to install the module manually before the unit tests can be run.

After installing pydantic manually, I see the following error also:

.venv\Lib\site-packages\pydantic\networks.py:967: in import_email_validator                                                                                                                                                         
    raise ImportError("email-validator is not installed, run `pip install 'pydantic[email]'`") from e                                                                                                                               
E   ImportError: email-validator is not installed, run `pip install 'pydantic[email]'

[Copilot]

Pull request overview

This PR adds Pydantic models for the WZDx (Work Zone Data Exchange) field device feed specification, enabling structured validation and serialization of field device data. The implementation includes comprehensive models for various device types (arrow boards, cameras, traffic sensors, etc.) along with GeoJSON geometry support.

Key Changes

• Introduced Pydantic v2 models for 8 field device types with discriminated union pattern for type-safe device property handling
• Added GeoJSON geometry models (Point, LineString, MultiPoint, Polygon) with proper type validation
• Updated date_tools.py to use identity comparison (is) instead of equality (!=) for type checking, improving code consistency

Reviewed changes

Copilot reviewed 31 out of 33 changed files in this pull request and generated 16 comments.

Show a summary per file

File	Description
wzdx/tools/date_tools.py	Refactored type comparisons to use is/is not operators and updated datetime boundary check comment for millisecond timestamp handling
wzdx/models/geometry/*	Added GeoJSON geometry models with Literal type constraints and discriminated unions
wzdx/models/field_device_feed/field_device_core_details.py	Core details model shared across all device types with required and optional fields
wzdx/models/field_device_feed/properties/*	Device-specific property models for arrow boards, cameras, signals, sensors, beacons, signs, and markers
wzdx/models/field_device_feed/field_device_feature.py	GeoJSON Feature wrapper for field devices
wzdx/models/field_device_feed/device_feed.py	Top-level feed model containing metadata and device features
wzdx/models/feed_info/*	Feed metadata models for publisher info and data sources
tests/models/field_device_feed_test.py	Deserialization and serialization tests with real-world data
tests/data/models/*	Test fixtures with sample field device feed JSON data
tests/tools/date_tools_test.py	New unit tests for datetime_from_unix function boundary conditions
pyproject.toml	Added pydantic[email] and email-validator dependencies
poetry.lock	Updated lock file with new dependencies

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[jacob6838]

Issue (blocking): The 'pydantic' module is not included in the requirements.txt file, requiring the user to install the module manually before the unit tests can be run.

After installing pydantic manually, I see the following error also:

.venv\Lib\site-packages\pydantic\networks.py:967: in import_email_validator                                                                                                                                                         
    raise ImportError("email-validator is not installed, run `pip install 'pydantic[email]'`") from e                                                                                                                               
E   ImportError: email-validator is not installed, run `pip install 'pydantic[email]'

The requirements.txt was a little out of date from poetry, I just regenerated it. The recommended way to import dependencies in this project is to use poetry commands, specifically

poetry install

[Copilot]

Pull request overview

Copilot reviewed 31 out of 34 changed files in this pull request and generated 4 comments.

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[Copilot]

Pull request overview

Copilot reviewed 33 out of 36 changed files in this pull request and generated 4 comments.

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[Copilot]

Pull request overview

Copilot reviewed 33 out of 36 changed files in this pull request and generated no new comments.

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[dmccoystephenson]

Looks good to me & the unit tests pass!