griddava/pull-request-validator

1from fastapi import FastAPI, HTTPException2from pydantic import BaseModel3import json4import logging5 6# Simple version without AI model for testing7app = FastAPI(8    title="AI Code Review Service",9    description="An API to get AI-powered code reviews for pull request diffs.",10    version="1.0.0",11)12 13# Configure logging14logging.basicConfig(level=logging.INFO)15logger = logging.getLogger(__name__)16 17class DiffRequest(BaseModel):18    diff: str19 20class ReviewComment(BaseModel):21    file_path: str22    line_number: int23    comment_text: str24 25class ReviewResponse(BaseModel):26    comments: list[ReviewComment]27 28@app.get("/health")29def health_check():30    """Health check endpoint."""31    return {32        "status": "healthy",33        "service": "AI Code Review Service",34        "model_loaded": False,  # No model in simple version35        "message": "Simple version - returns mock reviews"36    }37 38@app.post("/review", response_model=ReviewResponse)39def review_diff(request: DiffRequest):40    """41    Mock review endpoint that returns sample comments.42    Replace this with actual AI logic once the Space is working.43    """44    logger.info("Received diff for review (length: %d chars)", len(request.diff))45    46    # Mock review comments47    mock_comments = [48        {49            "file_path": "example.py",50            "line_number": 1,51            "comment_text": "Consider adding docstrings to improve code documentation."52        },53        {54            "file_path": "example.py", 55            "line_number": 5,56            "comment_text": "This function could benefit from error handling."57        }58    ]59    60    logger.info("Returning %d mock review comments", len(mock_comments))61    62    return ReviewResponse(comments=mock_comments)63 64if __name__ == "__main__":65    import uvicorn66    uvicorn.run(app, host="0.0.0.0", port=7860)67