husseinelsaadi commited on
Commit
a3c2881
Β·
1 Parent(s): 9ee49ff

qdrant loaded

Browse files
backend/services/interview_engine.py CHANGED
@@ -11,9 +11,24 @@ import torch
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  from backend.services.interview_retrieval import (
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  extract_all_roles_from_qdrant,
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  retrieve_interview_data,
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- random_context_chunks
 
 
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  )
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  if torch.cuda.is_available():
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  print("πŸ”₯ CUDA Available")
@@ -103,9 +118,18 @@ load_whisper_model()
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  def generate_first_question(profile, job):
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  """Generate the first interview question based on profile and job"""
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  all_roles = extract_all_roles_from_qdrant()
 
 
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  retrieved_data = retrieve_interview_data(job.role.lower(), all_roles)
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- context_data = random_context_chunks(retrieved_data, k=4)
 
 
 
 
 
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  try:
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  prompt = f"""
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  You are conducting an interview for a {job.role} position at {job.company}.
 
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  from backend.services.interview_retrieval import (
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  extract_all_roles_from_qdrant,
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  retrieve_interview_data,
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+ random_context_chunks,
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+ get_role_questions, # πŸ” For sample questions
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+ qdrant_client # πŸ” For collection info
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  )
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+ try:
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+ print("πŸ” Qdrant Collections:", qdrant_client.get_collections())
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+ info = qdrant_client.get_collection("interview_questions")
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+ print("βœ… Vector size:", info.config.params.vectors.size)
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+ print("βœ… Distance metric:", info.config.params.vectors.distance)
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+
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+ all_roles_debug = extract_all_roles_from_qdrant()
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+ print(f"βœ… Found {len(all_roles_debug)} roles:", all_roles_debug)
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+ if all_roles_debug:
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+ sample_questions_debug = get_role_questions(all_roles_debug[0])
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+ print(f"βœ… Sample questions for '{all_roles_debug[0]}': {len(sample_questions_debug)} found")
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+ except Exception as e:
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+ print("⚠️ Qdrant check failed:", e)
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  if torch.cuda.is_available():
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  print("πŸ”₯ CUDA Available")
 
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  def generate_first_question(profile, job):
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  """Generate the first interview question based on profile and job"""
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  all_roles = extract_all_roles_from_qdrant()
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+ logging.info(f"[QDRANT DEBUG] Available Roles: {all_roles}")
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+
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  retrieved_data = retrieve_interview_data(job.role.lower(), all_roles)
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+ logging.info(f"[QDRANT DEBUG] Role requested: {job.role.lower()}")
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+ logging.info(f"[QDRANT DEBUG] Questions retrieved: {len(retrieved_data)}")
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+ if retrieved_data:
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+ logging.info(f"[QDRANT DEBUG] Sample Q: {retrieved_data[0]['question']}")
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+ else:
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+ logging.warning("[QDRANT DEBUG] No questions retrieved, falling back to defaults")
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+ context_data = random_context_chunks(retrieved_data, k=4) if retrieved_data else ""
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+
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  try:
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  prompt = f"""
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  You are conducting an interview for a {job.role} position at {job.company}.