API Reference¶
This section provides comprehensive documentation for all modules, classes, and functions in the Beehive Photo Metadata Tracker. The documentation is automatically generated from Python docstrings to ensure accuracy and consistency.
Overview¶
The application is organized into several key modules:
-
Vision API
Google Cloud Vision API integration for computer vision analysis
-
Weather API
Open-Meteo weather data integration and correlation
-
Image Processing
EXIF extraction, color analysis, and image utilities
-
Data Handling
Data persistence, validation, and export functionality
-
UI Components
Streamlit components and visualization utilities
Architecture Quick Reference¶
graph TB
subgraph "Core Modules"
APP[app.py]
COMP[app_components.py]
UI[ui_components.py]
end
subgraph "API Services"
VISION[vision.py]
WEATHER[weather.py]
end
subgraph "Utilities"
IMG[image_processor.py]
DATA[data_handler.py]
SESSION[session_manager.py]
end
APP --> COMP
APP --> UI
APP --> VISION
APP --> WEATHER
APP --> IMG
APP --> DATA
APP --> SESSION
style APP fill:#e1f5fe
style VISION fill:#e8f5e8
style IMG fill:#fff3e0
Module Dependencies¶
Understanding the relationships between modules:
Module | Dependencies | Purpose |
---|---|---|
app.py |
All modules | Main application orchestration |
vision.py |
google-cloud-vision |
Computer vision analysis |
weather.py |
requests |
Weather data retrieval |
image_processor.py |
PIL , colorthief |
Image analysis and metadata |
data_handler.py |
pandas , json |
Data persistence and export |
session_manager.py |
streamlit |
Session state management |
Common Patterns¶
Error Handling¶
All API modules implement consistent error handling:
try:
result = api_call()
return result
except APIException as e:
logger.error(f"API call failed: {e}")
return fallback_response()
Data Validation¶
Input validation follows a standard pattern:
def validate_input(data: Dict) -> bool:
"""Validate input data structure."""
required_fields = ["field1", "field2"]
return all(field in data for field in required_fields)
Session State Management¶
Consistent session state handling across components:
Contributing to API Documentation¶
The API documentation is automatically generated from Python docstrings using the Google docstring format:
def example_function(param1: str, param2: int = 0) -> Dict[str, Any]:
"""Brief description of the function.
Longer description providing more detail about the function's
purpose and behavior.
Args:
param1: Description of the first parameter.
param2: Description of the second parameter with default.
Returns:
Dictionary containing the function result.
Raises:
ValueError: If param1 is empty.
APIError: If external service is unavailable.
Example:
>>> result = example_function("test", 42)
>>> print(result["status"])
"success"
"""
# Implementation here
pass
Quick Navigation¶
- Vision API: Computer vision and image analysis
- Weather API: Environmental data integration
- Image Processing: EXIF and color analysis
- Data Handling: Storage and export utilities
- UI Components: Interface and visualization components
This documentation is automatically synchronized with the codebase to ensure accuracy and completeness.