Merge pull request #1123 from pipecat-ai/cb/sqlite
Add SQLite storage to the Gemini persistent storage example
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@@ -6,6 +6,7 @@
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import asyncio
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import os
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import sqlite3
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import sys
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from typing import List, Optional
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@@ -44,22 +45,33 @@ class TranscriptHandler:
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output_file: Optional path to file where transcript is saved. If None, outputs to log only.
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"""
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def __init__(self, output_file: Optional[str] = None):
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"""Initialize handler with optional file output.
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def __init__(self, output_file: Optional[str] = None, output_db: Optional[str] = None):
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"""Initialize handler with optional file or database output.
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Args:
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output_file: Path to output file. If None, outputs to log only.
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"""
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self.messages: List[TranscriptionMessage] = []
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self.output_file: Optional[str] = output_file
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self.output_db: Optional[str] = output_db
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if self.output_db:
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self.con = sqlite3.connect("example.db")
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self.db = self.con.cursor()
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table = self.db.execute("SELECT name FROM sqlite_master WHERE name='messages'")
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if not (table.fetchone()):
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self.db.execute(
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"CREATE TABLE messages(role TEXT, content TEXT, timestamp DATETIME DEFAULT CURRENT_TIMESTAMP )"
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)
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logger.debug(
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f"TranscriptHandler initialized {'with output_file=' + output_file if output_file else 'with log output only'}"
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f"TranscriptHandler initialized; output file: {output_file}, output DB: {output_db}"
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)
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async def save_message(self, message: TranscriptionMessage):
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"""Save a single transcript message.
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Outputs the message to the log and optionally to a file.
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Outputs the message to the log and optionally to a SQLite database or file.
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Args:
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message: The message to save
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@@ -78,6 +90,14 @@ class TranscriptHandler:
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except Exception as e:
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logger.error(f"Error saving transcript message to file: {e}")
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# and/or to a SQLite database
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if self.output_db:
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self.db.execute(
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"INSERT INTO messages VALUES (?, ?, ?)",
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(message.role, message.content, message.timestamp),
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)
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self.con.commit()
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async def on_transcript_update(
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self, processor: TranscriptProcessor, frame: TranscriptionUpdateFrame
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):
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@@ -136,7 +156,7 @@ async def main():
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# Create transcript processor and handler
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transcript = TranscriptProcessor()
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transcript_handler = TranscriptHandler() # Output to log only
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transcript_handler = TranscriptHandler(output_db="example.db") # Output to log only
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# transcript_handler = TranscriptHandler(output_file="transcript.txt") # Output to file and log
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pipeline = Pipeline(
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