File size: 1,617 Bytes
54bef2f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 | import sqlite3
from contextlib import contextmanager
DATABASE_PATH = "./data/conversations.db"
#to keep memory of past conversations
@contextmanager
def get_db():
conn = sqlite3.connect(DATABASE_PATH)
conn.row_factory = sqlite3.Row
try:
yield conn
finally:
conn.close()
def init_db():
with get_db() as conn:
conn.execute("""
CREATE TABLE IF NOT EXISTS conversations (
id INTEGER PRIMARY KEY AUTOINCREMENT,
session_id TEXT NOT NULL,
video_id TEXT NOT NULL,
question TEXT NOT NULL,
answer TEXT NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
conn.commit()
def save_conversation(session_id, video_id, question, answer):
with get_db() as conn:
conn.execute(
"INSERT INTO conversations (session_id, video_id, question, answer) VALUES (?, ?, ?, ?)",
(session_id, video_id, question, answer)
)
conn.commit()
def get_conversation_history(session_id, limit=10):
with get_db() as conn:
cursor = conn.execute(
"SELECT question, answer, created_at FROM conversations WHERE session_id = ? ORDER BY created_at DESC LIMIT ?",
(session_id, limit)
)
return [dict(row) for row in cursor.fetchall()]
def clear_session(session_id):
with get_db() as conn:
conn.execute("DELETE FROM conversations WHERE session_id = ?", (session_id,))
conn.commit()
# Initialize the database when this file is imported
init_db()
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