Update interview_history.py
Browse files- interview_history.py +67 -68
interview_history.py
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# PrepGenie/interview_history.py
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import firebase_admin
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from firebase_admin import firestore
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import datetime
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@@ -8,116 +10,113 @@ import json
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# Assumes Firebase Admin is initialized in app.py
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try:
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db = firestore.client()
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print("Firestore client for history initialized successfully.")
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FIRESTORE_AVAILABLE = True
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except Exception as e:
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print(f"Error initializing Firestore client for history: {e}")
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db = None
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FIRESTORE_AVAILABLE = False
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def save_interview_history(user_id, interview_data):
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"""
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Saves the mock interview results to Firestore under the user's document.
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Args:
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user_id (str): The unique ID of the logged-in user (from Firebase Auth).
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interview_data (dict): A dictionary containing interview details.
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Expected structure:
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{
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"timestamp": str (ISO format datetime),
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"resume_overview": str,
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"selected_roles": list,
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"questions": list,
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"answers": list,
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"feedback": list,
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"interactions": dict,
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"metrics_list": list,
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"final_metrics": dict,
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"average_rating": float,
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"evaluation_report": str,
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# ... other relevant data ...
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}
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Returns:
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bool: True if successful, False otherwise.
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"""
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if not FIRESTORE_AVAILABLE or not db:
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print("Firestore client not available. Cannot save history.")
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return False
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if not user_id:
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print("User ID is required to save history.")
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return False
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try:
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# Reference to the user's document in the 'users' collection
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user_ref = db.collection('users').document(user_id)
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# Add the interview data to a subcollection 'interview_history'
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history_ref = user_ref.collection('interview_history')
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# Add the data with an auto-generated ID
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history_ref.add(interview_data)
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print(f"Interview history saved for user {user_id}")
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return True
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except Exception as e:
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print(f"Error saving interview history for user {user_id}: {e}")
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return False
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def load_interview_history(user_id, limit=5):
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"""
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Loads the mock interview history for a specific user from Firestore.
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Args:
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user_id (str): The unique ID of the logged-in user.
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limit (int): The maximum number of recent interviews to retrieve.
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Returns:
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list: A list of dictionaries, each representing an interview record.
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Returns an empty list if no history is found or on error.
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"""
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if not FIRESTORE_AVAILABLE or not db:
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print("Firestore client not available. Cannot load history.")
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return []
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if not user_id:
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print("User ID is required to load history.")
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return []
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try:
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# Reference to the user's interview history subcollection
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history_ref = db.collection('users').document(user_id).collection('interview_history')
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# Query the history, ordered by timestamp descending (most recent first), limited
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docs = history_ref.order_by('timestamp', direction=firestore.Query.DESCENDING).limit(limit).stream()
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history_list = []
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for doc in docs:
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# Convert Firestore document to dictionary
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interview_record = doc.to_dict()
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# Add the document ID if needed (optional)
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# interview_record['doc_id'] = doc.id
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history_list.append(interview_record)
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print(f"Loaded {len(history_list)} interview records for user {user_id}")
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return history_list
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except Exception as e:
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print(f"Error loading interview history for user {user_id}: {e}")
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return []
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#
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# "questions": ["Question 1?", "Question 2?"],
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# "answers": ["Answer 1", "Answer 2"],
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# "feedback": ["Feedback 1", "Feedback 2"],
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# # ... other fields ...
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# }
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# save_interview_history(user_uid, interview_summary_data)
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# PrepGenie/interview_history.py
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"""Handles saving and loading interview history to/from Firestore."""
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import firebase_admin
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from firebase_admin import firestore
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import datetime
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# Assumes Firebase Admin is initialized in app.py
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try:
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db = firestore.client()
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print("Firestore client for history initialized successfully in interview_history.")
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FIRESTORE_AVAILABLE = True
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except Exception as e:
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print(f"Error initializing Firestore client for history in interview_history: {e}")
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db = None
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FIRESTORE_AVAILABLE = False
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def save_interview_history(user_id, interview_data):
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"""
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Saves the mock interview results to Firestore under the user's document.
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"""
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if not FIRESTORE_AVAILABLE or not db:
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print("Firestore client not available in interview_history. Cannot save history.")
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return False
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if not user_id:
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print("User ID is required in interview_history to save history.")
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return False
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try:
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user_ref = db.collection('users').document(user_id)
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history_ref = user_ref.collection('interview_history')
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history_ref.add(interview_data)
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print(f"Interview history saved for user {user_id} in interview_history")
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return True
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except Exception as e:
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print(f"Error saving interview history for user {user_id} in interview_history: {e}")
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return False
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def load_interview_history(user_id, limit=5):
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"""
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Loads the mock interview history for a specific user from Firestore.
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"""
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if not FIRESTORE_AVAILABLE or not db:
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print("Firestore client not available in interview_history. Cannot load history.")
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return []
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if not user_id:
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print("User ID is required in interview_history to load history.")
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return []
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try:
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history_ref = db.collection('users').document(user_id).collection('interview_history')
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docs = history_ref.order_by('timestamp', direction=firestore.Query.DESCENDING).limit(limit).stream()
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history_list = []
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for doc in docs:
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interview_record = doc.to_dict()
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history_list.append(interview_record)
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print(f"Loaded {len(history_list)} interview records for user {user_id} in interview_history")
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return history_list
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except Exception as e:
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print(f"Error loading interview history for user {user_id} in interview_history: {e}")
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return []
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# --- History Loading Function for UI ---
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def load_user_history(user_id_state):
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"""Function to load and format interview history for display in the UI."""
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if not FIRESTORE_AVAILABLE:
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return "History feature is not available (Firestore not initialized)."
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if not user_id_state:
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return "Please log in to view your interview history."
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try:
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history_list = load_interview_history(user_id_state, limit=5)
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if not history_list:
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return "No interview history found."
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output_text = "**Your Recent Mock Interviews:**\n\n"
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for idx, record in enumerate(history_list):
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timestamp = record.get('timestamp', 'Unknown Time')
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try:
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if 'Z' in timestamp:
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dt = datetime.datetime.fromisoformat(timestamp.replace('Z', '+00:00'))
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else:
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dt = datetime.datetime.fromisoformat(timestamp)
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formatted_time = dt.strftime("%Y-%m-%d %H:%M:%S")
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except Exception as e:
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print(f"Error parsing timestamp {timestamp} in load_user_history: {e}")
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formatted_time = timestamp
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roles = ", ".join(record.get('selected_roles', ['N/A']))
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avg_rating = record.get('average_rating', 'N/A')
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output_text += f"--- **Interview #{len(history_list) - idx} ({formatted_time})** ---\n"
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output_text += f"**Roles Applied:** {roles}\n"
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output_text += f"**Average Rating:** {avg_rating:.2f}\n\n"
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interactions = record.get('interactions', {})
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if interactions:
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output_text += "**Interview Snippets:**\n"
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count = 0
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for q_key, a_val in list(interactions.items())[:3]:
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q_display = q_key.split(':', 1)[1].strip() if ':' in q_key else q_key
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a_display = a_val.split(':', 1)[1].strip() if ':' in a_val else a_val
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output_text += f"- **Q:** {q_display[:100]}{'...' if len(q_display) > 100 else ''}\n"
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output_text += f" **A:** {a_display[:100]}{'...' if len(a_display) > 100 else ''}\n"
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count += 1
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if count >= 3:
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break
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if len(interactions) > 3:
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output_text += f"... (and {len(interactions) - 3} more questions)\n"
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else:
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output_text += "**Details:** Not available.\n"
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output_text += "\n---\n\n"
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return output_text
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except Exception as e:
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error_msg = f"Error loading interview history in load_user_history: {str(e)}"
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print(error_msg)
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return error_msg
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