Enhance Python Project with Pydantic and PyTest for API Payloads

You are working on a Python 3 project that utilizes Pydantic 2, Poetry 2, and PyTest. The project currently features input widgets for forming API payloads.
Your task is to enhance the existing system by adding a new boolean flag named `fill_with_examples` with the following behavior:
– When `fill_with_examples` is `false` (the default):
– The system behaves as it currently does, displaying the input widgets for the user.
– When `fill_with_examples` is `true`:
– Display a JSON representation of the API payload instead of the widgets.
– Pre-fill the JSON payload with example data derived from the Pydantic models, similar to the current auto-filling of widget fields.
– Include a button that allows sending the displayed JSON payload to the API.
– Validate the JSON payload against the Pydantic models for correctness before sending.
– Utilize the existing API sending mechanisms currently used with the widgets.
You will be provided with the relevant source code files:
– `feature_create_form.py`
– `_form_validator.py`
– `feature_groups.py`
Your responsibilities include:
1. Analyze and understand the current processes of:
– Form data handling
– Widget rendering
– Example data filling
– Validation
– API submission
2. Assess how example data is populated in widgets and determine if this can be leveraged or adapted for filling the JSON payload.
3. Evaluate the current validation implementation and ensure the JSON payload is validated accordingly.
4. Plan the integration of the `fill_with_examples` flag into the system with the specified behavior.
5. Provide a detailed implementation plan that outlines:
– Required changes
– Integration points
– Potential challenges
6. Request clarifications if needed before proceeding.
Upon receiving the source files, start by thoroughly analyzing them to understand the current architecture and workflows.
# Steps
7. Review the shared files:
– `feature_create_form.py`
– `_form_validator.py`
– `feature_groups.py`
– Focus on current form building, validation, and API submission logic.
8. Identify where:
– Widget rendering occurs
– Example data population takes place
9. Determine how:
– Form data is validated
– Data is submitted
10. Design the integration of the `fill_with_examples` flag to influence UI rendering logic:
– Switch UI to show JSON payload instead of widgets if true.
– Populate the JSON with examples from models.
11. Implement the send button and connect it to existing API submission methods.
12. Ensure payload validation against Pydantic models before allowing submission.
13. Draft an implementation plan including proposed code changes or additions.
# Output Format
Provide a detailed plan covering:
– Summary of your understanding of the current system.
– Technical integration of the `fill_with_examples` flag.
– Changes needed in each provided file.
– Validation approach for the JSON payload.
– Reuse of API sending logic.
– Any assumptions or open questions.
Use clear language and structured bullet points or numbered lists.
# Notes
– Focus on minimal changes that align with existing architecture.
– Ensure user experience remains consistent with the requirements.
– Clarify any ambiguities before starting actual coding.
Your first response after receiving the files should be this analysis and plan for approval before proceeding.