back

Author: ANGELOANTU7

Backend/Final_LatestSorter.py

@@ -68,7 +68,7 @@ def process_file(file_name,user1):
         # Split file content into batches (adjust batch size as needed)
         batch_size = 30000
         batches = [file_content[i:i+batch_size] for i in range(0, len(file_content), batch_size)]
-        print(user1+"syllabus_pdf/syllabus.txt")
+        print(user1+"syllabus_txt/syllabus.txt")
         response2 = s3.get_object(Bucket='learnmateai', Key= user1+"syllabus_pdf/syllabus.txt")
         topics = response2['Body'].read().decode('utf-8')
         # Process batches

Backend/Processor.py Backend/Final_Processor.pyBackend/Processor.py renamed to Backend/Final_Processor.py

@@ -7,36 +7,25 @@
 async def fetch_data(link:str,receiver_email: str ):
     results = []
 
-    async with httpx.AsyncClient() as client:
+    async with httpx.AsyncClient(timeout=3000.0) as client:
         # Make the first API call
         response1 = await client.get(f"{link}/process_files?user={receiver_email}")
-        results.append(response1.json())
-        print(response1)
-        
+
         response2 = await client.get(f"{link}/sorter?user={receiver_email}")
-        results.append(response2.json())
-        print(response2)
 
         response3 = await client.get(f"{link}/card-json?user={receiver_email}")
-        results.append(response3.json())
-        print(response3)
 
         response4 = await client.get(f"{link}/note_gen?user={receiver_email}")
-        results.append(response4.json())
-        print(response4)
 
         response5 = await client.get(f"{link}/question_gen?user={receiver_email}")
-        results.append(response5.json())
-        print(response5)
+
 
         payload = {
             "receiver_email": receiver_email,
             "subject": "LearnMateAI",
             "message": "Your files have been processed successfully"
         }
-        
-        response6 = await client.post(link+"/email", data=payload)
-        results.append(response6.json())
-        print(response6)
-    
-    return results
+
+        response6 = await client.post(f"{link}/email", data=payload)
+
+

Backend/__pycache__/Final_LatestSorter.cpython-310.pyc

@@ -15,6 +15,8 @@ COPY Local_Storage ./Local_Storage
 COPY iteration1_requirements.txt  .
 RUN  pip3 install -r iteration1_requirements.txt --target "${LAMBDA_TASK_ROOT}"
 
+COPY iteration2_requirements.txt  .
+RUN  pip3 install -r iteration2_requirements.txt --target "${LAMBDA_TASK_ROOT}"
 RUN chmod a+rwx Local_Storage
 
 

Backend/__pycache__/Final_Processor.cpython-310.pyc

@@ -12,8 +12,8 @@
 #from Backend.Notes_Analyser import router as api4_router
 #from Backend.Narrator import router as api5_router
 #from Backend.NotesChunker import app as chunker 
-#from Backend.NotesToText import router as notestotxt
-from Backend.Processor import app as processor
+from Backend.Final_NotesToText import router as notestotxt
+from Backend.Final_Processor import app as processor
 from Backend.Final_NotesChunker import app as chunker
 from Backend.Final_LatestSorter import app as sorter
 from Backend.Final_Sections_topics_json import app as cardmaker
@@ -44,7 +44,7 @@
 # Mount the API routerss
 
 
-#app.include_router(notestotxt)
+app.include_router(notestotxt)
 app.include_router(email_sender)
 app.include_router(processor)
 app.include_router(chunker)
@@ -63,5 +63,5 @@
 #app.include_router(api1_router)
 
 if __name__ == "__main__":
-    uvicorn.run(app, host="192.168.56.1", port=8010)
+    uvicorn.run(app,  host="127.0.0.1", port=8000)