feat: Create initial Flask API for text analysis#12
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This commit introduces a basic Flask application to serve as a backend for text analysis. It is designed to be called by mobile applications (Android/iOS) to check text for potential security threats. The application includes: - A root endpoint for health checks. - An `/analyze` endpoint that accepts POST requests with JSON data. - Placeholder logic for text analysis. - A `requirements.txt` file for dependency management.
Reviewer's GuideIntroduces a new Flask-based API for text analysis, defining health check and /analyze endpoints with JSON parsing, input validation, placeholder suspicious-text detection, and includes a requirements file for dependencies. Sequence diagram for the /analyze endpoint interactionsequenceDiagram
actor MobileApp
participant FlaskAPI
participant "Text Analysis Logic"
MobileApp->>FlaskAPI: POST /analyze {"text": "..."}
FlaskAPI->>FlaskAPI: Validate input
alt Invalid input
FlaskAPI-->>MobileApp: 400 {"error": "Invalid input, 'text' field is required."}
else Valid input
FlaskAPI->>"Text Analysis Logic": Analyze text
"Text Analysis Logic"-->>FlaskAPI: is_suspicious
FlaskAPI-->>MobileApp: 200 {"text": "...", "analysis": {"is_suspicious": true/false}}
end
Class diagram for Flask API structureclassDiagram
class FlaskApp {
+hello()
+analyze()
}
class Request {
+get_json()
}
class Response {
+jsonify()
}
FlaskApp <.. Request : uses
FlaskApp <.. Response : uses
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This commit introduces a basic Flask application to serve as a backend for text analysis. It is designed to be called by mobile applications (Android/iOS) to check text for potential security threats.
The application includes:
/analyzeendpoint that accepts POST requests with JSON data.requirements.txtfile for dependency management.Summary by Sourcery
Introduce a basic Flask application to support text analysis via HTTP endpoints
New Features: