Add New Modules: GraphCypherQAChain. Add New Preprocess modules: embedding and nodes retrival. Added New Config: OpenAi key retrieve

embedding.py
graph-preprocess-simpl.py
neo4j_import.py
openai_key.py
job_recommendation_system.py
neo4j_model.py
recommendation_generator.py
resume_processor.py
retrieval_engine.py
verify.py
view.py

Author: andyasdd1

be_repo/modules/job_recommendation_system.py

@@ -1,57 +1,75 @@
 # job_recommendation_system.py
 
-import logging
+from neo4j_model import Neo4jModel
+from resume_processor import ResumeProcessor
+from retrieval_engine import RetrievalEngine
+from recommendation_generator import RecommendationGenerator
+from view import CLIView
+import sys
 
-from .neo4j_model import Neo4jModel
-from .recommendation_generator import RecommendationGenerator
-from .resume_processor import ResumeProcessor
-from .retrieval_engine import RetrievalEngine
-from .view import CLIView
+def main():
+    
+
+    # Redirect standard output to a file
+    sys.stdout = open('output.log', 'w')
+
+    # Your code here
+    print("Lots of output")
 
 
-def job_recommend(resume_text, user_id):
     # Setup Logging
+    import logging
     logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
     logger = logging.getLogger(__name__)
-
-    # Get Resume Input from User
-    if not resume_text.strip():
-        logger.error(f'No resume text provided, user_id: {user_id}.')
-        return 'Error: No resume text provided.'
-
+    
     # Neo4j Connection Details
     NEO4J_URI = "neo4j+ssc://7bf5a48e.databases.neo4j.io"  # Replace with your Neo4j URI
-    NEO4J_USERNAME = "neo4j"  # Replace with your Neo4j username
-    NEO4J_PASSWORD = "oxsK7V5_86emZlYQlvCfQHfVWS95wXz29OhtU8GAdFc"  # Replace with your Neo4j password
+    NEO4J_USERNAME = "neo4j"             # Replace with your Neo4j username
+    NEO4J_PASSWORD = "oxsK7V5_86emZlYQlvCfQHfVWS95wXz29OhtU8GAdFc"          # Replace with your Neo4j password
 
     # Initialize Model
     neo4j_model = Neo4jModel(
         uri=NEO4J_URI,
         username=NEO4J_USERNAME,
         password=NEO4J_PASSWORD
     )
-
-    node_label = "JTitle"  # Adjust as needed; could be dynamic based on user input or other criteria
-
+    
     # Initialize Controller Components
     resume_processor = ResumeProcessor()
     retrieval_engine = RetrievalEngine(resume_processor, neo4j_model)
     recommendation_generator = RecommendationGenerator()
-
+    
     # Initialize View
     view = CLIView()
-
-    # Perform Mixed Retrieval
+    
+    # Get Resume Input from User
+    resume_text = view.get_resume_input()
+    
+    if not resume_text.strip():
+        logger.error("No resume text provided.")
+        print("Error: No resume text provided.")
+        return
+    
+    # Perform Mixed Retrieval for 'JD' Node Label
+    node_label = "JD"  # Adjust as needed; could be dynamic based on user input or other criteria
     similar_docs, graph_results = retrieval_engine.perform_mixed_retrieval(resume_text, node_label=node_label)
-
+    
     if not similar_docs and not graph_results:
-        return 'No job recommendations found based on your resume.'
-
+        print("No job recommendations found based on your resume.")
+        return
+    
     # Generate Recommendations
     try:
         recommendations = recommendation_generator.generate_recommendations(similar_docs, graph_results)
     except Exception as e:
-        return 'Error: Failed to generate job recommendations.'
-
+        print("Error: Failed to generate job recommendations.")
+        return
+    
     # Display Recommendations
-    return view.display_recommendations(recommendations)
+    view.display_recommendations(recommendations)
+
+    # Close the file
+    sys.stdout.close()
+
+if __name__ == "__main__":
+    main()