Update app.py

app.py

@@ -22,7 +22,8 @@ import PyPDF2
 import mimetypes
 from txagent.txagent import TxAgent
 from db.mongo import get_mongo_client
-
+from fastapi.encoders import jsonable_encoder
+from docx import Document 
 # Logging
 logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
 logger = logging.getLogger("TxAgentAPI")
@@ -551,13 +552,13 @@ 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:
@@ -568,7 +569,7 @@ async def analyze_clinical_report(
             'text/plain',
             'application/vnd.openxmlformats-officedocument.wordprocessingml.document'
         ]
-        
+
         if content_type not in allowed_types:
             raise HTTPException(
                 status_code=400,
@@ -577,7 +578,7 @@ async def analyze_clinical_report(
 
         # Read file content
         file_content = await file.read()
-        
+
         # Extract text based on file type
         if content_type == 'application/pdf':
             text = extract_text_from_pdf(file_content)
@@ -586,7 +587,7 @@ 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])
-        
+
         # Clean and validate text
         text = clean_text_response(text)
         if len(text.strip()) < 50:
@@ -603,13 +604,14 @@ async def analyze_clinical_report(
             file_content=file_content
         )
 
-        return JSONResponse(content={
+        # ✅ Use jsonable_encoder to serialize datetime/ObjectId
+        return JSONResponse(content=jsonable_encoder({
             "status": "success",
             "analysis": analysis,
             "patient_id": patient_id,
             "file_type": content_type,
             "file_size": len(file_content)
-        })
+        }))
 
     except HTTPException:
         raise