# Coding conventions used in this project
#
Cursor rules are in CONVENTIONS.\*, before doing anythign else. Adding them to the context
For CLIs, use a Typer app.
Use `ic` for logging.
Use Rich for pretty printing.
Use Loguru for logging.
Use Typer for CLI apps.
Use Pydantic for data validation.
Use types; when using types, prefer using built-ins like `foo | None` vs `foo: Optional[str]`.
When using Typer, use the latest syntax for arguments and options.
```python
name: Annotated[Optional[str], typer.Argument()] = None
def main(name: Annotated[str, typer.Argument()] = "Wade Wilson"):
lastname: Annotated[str, typer.Option(help="Last name of person to greet.")] = "",
formal: Annotated[bool, typer.Option(help="Say hi formally.")] = False,
```
### Code Style
Prefer returning from a function vs nesting ifs.
Prefer descriptive variable names over comments.
Avoid nesting ifs, return from functions as soon as you can
### Types
Use types whenever possible.
Use the latest syntax for types (3.12)
Don't use tuples, define pydantic types for return values. Call Them FunctionReturn for the function name
<examples>
For a Single Item Return
Function: get_user_profile()
Return Type: UserProfileResponse
For Multiple Items
Function: list_users()
Return Type: UserListResponse or PaginatedUsersResponse
For Aggregated Data
Function: get_sales_summary()
Return Type: SalesSummaryResult
For Nested or Composite Data
Function: get_order_details()
Return Type: OrderDetailsResponse (which may include nested models like ProductInfo or ShippingDetails).
</examples>
### Testing
When possible update the tests to reflect the new changes.
Tests are in the test directory
### Running Tests
When running pytest, use auto mode with pytest-xdist to parallelize test execution:
```bash
pytest -n auto
```
This automatically detects the optimal number of CPU cores and distributes tests accordingly.
For debugging specific tests, run without -n flag:
```bash
pytest test_specific.py -v
```
### TUI Applications
When creating TUI (Text User Interface) applications:
- Use Textual library for TUI apps
- Include standard key bindings:
```python
BINDINGS = [
Binding("q", "quit", "Quit"),
Binding("j", "move_down", "Down"),
Binding("k", "move_up", "Up"),
Binding("?", "help", "Help")
]
```
- Include a Help screen modal that shows available commands
- Use DataTable for tabular data display:
- When accessing DataTable columns, handle ColumnKey objects by stripping wrapper text:
```python
columns = [str(col).replace("ColumnKey('", "").replace("')", "")
for col in table.columns.keys()]
```
- Always include a key parameter when adding rows for selection tracking
- Implement row selection handlers with `on_data_table_row_selected`
- For modal screens:
- Inherit from ModalScreen
- Include proper styling in on_mount:
```python
def on_mount(self) -> None:
container = self.query_one(Container)
container.styles.align = ("center", "middle")
container.styles.height = "auto"
container.styles.width = "auto"
container.styles.background = "rgba(0,0,0,0.8)"
container.styles.padding = (2, 4)
container.styles.border = ("solid", "white")
```
- Use Container for layout management
- Include proper error handling with loguru
- Follow this structure for the main app:
```python
class MyTUIApp(App):
# Define bindings
# Define compose() for layout
# Define action methods for commands
@app.command()
def browse():
"""Browse data in an interactive TUI"""
app = MyTUIApp()
app.run()
@logger.catch()
def app_wrap_loguru():
app()
```
### TUI Applications
When creating TUI (Text User Interface) applications:
- Use Textual library for TUI apps
- Include standard key bindings:
```python
BINDINGS = [
Binding("q", "quit", "Quit"),
Binding("j", "move_down", "Down"),
Binding("k", "move_up", "Up"),
Binding("?", "help", "Help")
]
```
- Include a Help screen modal that shows available commands
- Use DataTable for tabular data display
- Use Static widgets for text display areas
- Use Container for layout management
- Include proper error handling with loguru
- Follow this structure for the main app:
```python
class MyTUIApp(App):
# Define bindings
# Define compose() for layout
# Define action methods for commands
@app.command()
def browse():
"""Browse data in an interactive TUI"""
app = MyTUIApp()
app.run()
@logger.catch()
def app_wrap_loguru():
app()
```
### Debugging
When debugging, use the `ic` library:
- Import ic at the top of files:
```python
from icecream import ic
```
- Use ic() to debug variables and expressions:
```python
# Basic variable inspection
ic(my_variable)
# Multiple variables
ic(var1, var2, calculation_result)
# Expressions
ic(table.columns, table.row_count)
# Objects and their properties
ic(details.render()._renderable)
# Before/after state changes
ic("Before action:", current_state)
action()
ic("After action:", new_state)
```
- For test debugging, combine ic with print statements for context:
```python
print("\nDEBUG: Starting test")
ic(test_object)
# Show test progress
print("\nDEBUG: After action")
ic(result)
```
- When debugging async code, mark important points:
```python
ic("Before await")
await async_operation()
ic("After await")
```
### Testing TUI Applications
When testing Textual TUI applications:
- Use pytest-asyncio and mark tests:
```python
pytestmark = pytest.mark.asyncio
```
- Include standard test fixtures:
```python
@pytest.fixture
async def app():
"""Create test app instance."""
return MyTUIApp()
```
- Use app.run_test() context manager:
```python
async def test_something(app):
async with app.run_test() as pilot:
# Test code here
```
- Add comprehensive debugging:
```python
# Debug widget tree
print(f"DEBUG: App widgets: {app.query('*')}")
# Debug specific components
table = app.query_one(DataTable)
print(f"Table properties: {table.columns}")
# Debug events and state changes
print(f"Before action: {current_state}")
await pilot.press("key")
print(f"After action: {new_state}")
```
- Test widget queries and selections:
```python
table = app.query_one(DataTable)
details = app.query_one("#details", Static)
```
- Allow time for UI updates:
```python
await pilot.pause()
```
- Test modal screens:
```python
await pilot.press("?") # Open modal
assert isinstance(app.screen, HelpScreen)
await pilot.press("escape") # Close modal
```
- Test DataTable operations:
- Extract column information:
```python
columns = [str(col).replace("ColumnKey('", "").replace("')", "")
for col in table.columns.keys()]
```
- Test row selection:
```python
table.move_cursor(row=0)
table.action_select_cursor()
```
- Include error handling in tests:
```python
try:
# Test code
except Exception as e:
print(f"DEBUG: Test failed with error: {e}")
print(f"App state: {app.query('*')}")
raise
```
- Test keyboard navigation:
```python
await pilot.press("j") # Down
await pilot.press("k") # Up
await pilot.press("q") # Quit
```
- Verify widget content:
```python
content = widget.render()._renderable
assert "expected text" in str(content)
```
### Tony VAPI Configuration
To get the latest Tony VAPI configuration settings:
```bash
tony export-vapi-tony-config
```
This command exports the current configuration which can be used as a reference for updating `tony_assistant_spec.json`. Key configuration areas include:
- Voice settings (voiceId, provider, stability, similarityBoost)
- Model configuration (model, maxTokens, temperature)
- Server and client message types
- End call settings and phrases
- Transcriber configuration
- Analysis plan settings
When updating the configuration, ensure compatibility between the exported settings and your local `tony_assistant_spec.json`.
- Use `uv` instead of `pip` for package management.
- Ensure to update dependencies in `pyproject.toml` when adding new packages or updating existing ones.
### Fixing Tests
When fixing tests, the goal is to be as efficient as possible. Here are some guidelines:
- **Unit Tests First**: Ensure unit tests pass before moving on to integration tests.
- **Integration Before E2E**: Run integration tests before end-to-end tests to catch issues early.
- **Parallel Execution**: Run tests in parallel to save time.
- **Iterate on Failing Tests**: If iterating on a failing test, only run that specific test instead of the entire suite.
- Example: Use `pytest tests/unit/test_specific.py -v` to run a specific unit test.
- For integration tests, use `pytest tests/integration/test_specific.py -v`.
- For end-to-end tests, use `pytest tests/e2e/test_specific.py -v`.
### Git Commit Messages
When creating git commit messages:
- Use multi-line messages for meaningful commits
- First line is a summary (50 chars or less) starting with type: (e.g., "feat:", "fix:", "test:")
- Leave a blank line after the summary
- Follow with bullet points of specific changes
Since the tools don't support direct newlines, use $' syntax with \n for multi-line messages:
```bash
git commit -m $'feat: Add new feature\n\n- Add X functionality\n- Update Y module\n- Fix Z issue'
```
Types for the summary line:
- feat: New feature
- fix: Bug fix
- test: Adding or updating tests
- docs: Documentation only changes
- refactor: Code change that neither fixes a bug nor adds a feature
- style: Changes that do not affect the meaning of the code
- chore: Changes to the build process or auxiliary tools
### Git Commit Best Practices
Before committing changes:
1. Review modified files using file reading capabilities rather than git diff
2. Run tests to ensure they pass, following the test instructions above:
- Run unit tests first
- Use parallel execution with `pytest -n auto`
- For iterating on specific tests, use the test file path:
```bash
# Example: Run only the specific test you're working on
pytest tests/integration/test_specific.py -v -k test_name
```
3. Run `git status` to review all modified files
4. Verify that only intended files are included
5. Use `git add` to stage specific files rather than `git add .`
6. Double-check staged files with `git status` again before committing
7. For multi-file changes, ensure all related files are included (e.g., both implementation and tests)
8. Exclude temporary files, logs, and other unrelated changes
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