Update app.py

app.py

@@ -552,14 +552,11 @@ async def analyze_clinical_report(
 ):
     """
     Analyze a clinical patient report from an uploaded file.
-
     Parameters:
     - file: Uploaded clinical report file (PDF, TXT, DOCX)
     - patient_id: Optional patient ID to associate with this report
     - temperature: Controls randomness of response (0.1-1.0)
     - max_new_tokens: Maximum length of response
-
-    Returns structured analysis of the patient report.
     """
     try:
         # Validate file type
@@ -579,7 +576,7 @@ async def analyze_clinical_report(
         # Read file content
         file_content = await file.read()
 
-        # Extract text based on file type
+        # Extract text from file
         if content_type == 'application/pdf':
             text = extract_text_from_pdf(file_content)
         elif content_type == 'text/plain':
@@ -587,6 +584,8 @@ async def analyze_clinical_report(
         elif content_type == 'application/vnd.openxmlformats-officedocument.wordprocessingml.document':
             doc = Document(io.BytesIO(file_content))
             text = "\n".join([para.text for para in doc.paragraphs])
+        else:
+            raise HTTPException(status_code=400, detail="Unsupported file type")
 
         # Clean and validate text
         text = clean_text_response(text)
@@ -604,7 +603,13 @@ async def analyze_clinical_report(
             file_content=file_content
         )
 
-        # ✅ Use jsonable_encoder to serialize datetime/ObjectId
+        # Manually convert ObjectId and timestamp if needed
+        if "_id" in analysis and isinstance(analysis["_id"], ObjectId):
+            analysis["_id"] = str(analysis["_id"])
+        if "timestamp" in analysis and isinstance(analysis["timestamp"], datetime):
+            analysis["timestamp"] = analysis["timestamp"].isoformat()
+
+        # Return response using jsonable_encoder
         return JSONResponse(content=jsonable_encoder({
             "status": "success",
             "analysis": analysis,
@@ -621,6 +626,8 @@ async def analyze_clinical_report(
             status_code=500,
             detail=f"Failed to analyze report: {str(e)}"
         )
+
+        
 if __name__ == "__main__":
     import uvicorn
     uvicorn.run(app, host="0.0.0.0", port=8000)