Files
bio-performx/app/main.py
T

198 lines
6.1 KiB
Python

"""
FastAPI application for medical report generation.
This API provides a single endpoint that accepts all required files
and patient information, then generates a comprehensive medical report.
"""
import shutil
import tempfile
from pathlib import Path
from fastapi import FastAPI, File, Form, HTTPException, UploadFile
from fastapi.responses import FileResponse
from pydantic import BaseModel
from services.report_generator import ReportGeneratorService
app = FastAPI(
title="Medical Report Generation API",
description="API for generating medical performance reports with analysis and graphs",
version="2.0.0",
)
# Define output directories
GRAPHS_DIR = Path("graphs")
GRAPHS_DIR.mkdir(exist_ok=True)
REPORTS_DIR = Path("reports")
REPORTS_DIR.mkdir(exist_ok=True)
# Initialize report generator service
report_service = ReportGeneratorService(
template_dir="app/report_gen",
graphs_dir=str(GRAPHS_DIR),
reports_dir=str(REPORTS_DIR),
)
class ReportResponse(BaseModel):
message: str
report_path: str
graphs_generated: list
analysis_data: dict
@app.get("/")
async def root():
"""Root endpoint with API information"""
return {
"message": "Medical Report Generation API",
"version": "2.0.0",
"endpoints": {
"generate_report": "POST /generate-report",
"download_report": "GET /download-report/{filename}",
"health": "GET /health",
},
}
@app.get("/health")
async def health_check():
"""Health check endpoint"""
return {"status": "healthy", "service": "report-generation-api"}
@app.post("/generate-report", response_model=ReportResponse)
async def generate_report(
patient_name: str = Form(..., description="Patient name"),
age: int = Form(..., description="Patient age"),
height: str = Form(..., description="Patient height (e.g., 5'4\")"),
weight: str = Form(..., description="Patient weight (e.g., 123lbs)"),
focus: str = Form(default="Endurance", description="Training focus"),
session_id: str = Form(default="default", description="Session ID"),
spirometry_pdf: UploadFile = File(..., description="Spirometry PDF file"),
pnoe_csv: UploadFile = File(..., description="Pnoe CSV file"),
seca_excel: UploadFile = File(..., description="SECA Excel file"),
):
"""
Generate a comprehensive medical report from uploaded files.
This endpoint accepts all required files and patient information,
processes the data, generates graphs, and returns a PDF report.
Args:
spirometry_pdf: Spirometry PDF file
pnoe_csv: Pnoe CSV data file
seca_excel: SECA body composition Excel file
patient_name: Name of the patient
age: Patient age
height: Patient height
weight: Patient weight
focus: Training focus (default: Endurance)
session_id: Session identifier (default: default)
Returns:
ReportResponse with report path, graphs generated, and analysis data
"""
# Validate file types
if not spirometry_pdf.filename.endswith(".pdf"):
raise HTTPException(status_code=400, detail="Spirometry file must be a PDF")
if not pnoe_csv.filename.endswith(".csv"):
raise HTTPException(status_code=400, detail="Pnoe file must be a CSV")
if not seca_excel.filename.endswith((".xlsx", ".xls")):
raise HTTPException(
status_code=400, detail="SECA file must be an Excel file (.xlsx or .xls)"
)
# Create temporary directory for uploaded files
with tempfile.TemporaryDirectory() as temp_dir:
temp_path = Path(temp_dir)
# Save uploaded files temporarily
spirometry_path = temp_path / f"spirometry_{spirometry_pdf.filename}"
pnoe_path = temp_path / f"pnoe_{pnoe_csv.filename}"
seca_path = temp_path / f"seca_{seca_excel.filename}"
try:
# Write files
with open(spirometry_path, "wb") as f:
shutil.copyfileobj(spirometry_pdf.file, f)
with open(pnoe_path, "wb") as f:
shutil.copyfileobj(pnoe_csv.file, f)
with open(seca_path, "wb") as f:
shutil.copyfileobj(seca_excel.file, f)
# Prepare patient information
patient_info = {
"patient_name": patient_name,
"age": age,
"height": height,
"weight": weight,
"focus": focus,
"session_id": session_id,
}
# Generate report using the service
result = await report_service.generate_report(
spirometry_pdf_path=str(spirometry_path),
pnoe_csv_path=str(pnoe_path),
seca_excel_path=str(seca_path),
patient_info=patient_info,
)
return ReportResponse(
message="Report generated successfully",
report_path=result["report_path"],
graphs_generated=result["graphs_generated"],
analysis_data=result["analysis_data"],
)
except Exception as e:
import traceback
error_details = traceback.format_exc()
print(f"ERROR: {error_details}") # This will show in terminal
raise HTTPException(
status_code=500,
detail=f"Error generating report: {str(e)}\n{error_details}",
)
finally:
# Close file handles
spirometry_pdf.file.close()
pnoe_csv.file.close()
seca_excel.file.close()
@app.get("/download-report/{filename}")
async def download_report(filename: str):
"""
Download a generated report.
Args:
filename: Name of the report file
Returns:
PDF file
"""
file_path = REPORTS_DIR / filename
if not file_path.exists():
raise HTTPException(status_code=404, detail="Report not found")
return FileResponse(
path=file_path,
media_type="application/pdf",
filename=filename,
)
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8000)