from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import json
import logging

# Simple version without AI model for testing
app = FastAPI(
    title="AI Code Review Service",
    description="An API to get AI-powered code reviews for pull request diffs.",
    version="1.0.0",
)

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class DiffRequest(BaseModel):
    diff: str

class ReviewComment(BaseModel):
    file_path: str
    line_number: int
    comment_text: str

class ReviewResponse(BaseModel):
    comments: list[ReviewComment]

@app.get("/health")
def health_check():
    """Health check endpoint."""
    return {
        "status": "healthy",
        "service": "AI Code Review Service",
        "model_loaded": False,  # No model in simple version
        "message": "Simple version - returns mock reviews"
    }

@app.post("/review", response_model=ReviewResponse)
def review_diff(request: DiffRequest):
    """
    Mock review endpoint that returns sample comments.
    Replace this with actual AI logic once the Space is working.
    """
    logger.info("Received diff for review (length: %d chars)", len(request.diff))
    
    # Mock review comments
    mock_comments = [
        {
            "file_path": "example.py",
            "line_number": 1,
            "comment_text": "Consider adding docstrings to improve code documentation."
        },
        {
            "file_path": "example.py", 
            "line_number": 5,
            "comment_text": "This function could benefit from error handling."
        }
    ]
    
    logger.info("Returning %d mock review comments", len(mock_comments))
    
    return ReviewResponse(comments=mock_comments)

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=7860)