A utility to convert realtime feedback events into formatted transcript text. Use this for processing and displaying conversation logs from voice or chat AI services.
# Source: https://github.com/dograh-hq/dograh | License: BSD-2-Clause | Copyright 2025, Zansat Technologies Private Limited
# Provided via justclaw.it.com; keep this notice with the code.
from typing import List
from pipecat.utils.enums import RealtimeFeedbackType
def _format_timestamp_range(
payload: dict, event: dict, include_end_timestamps: bool
) -> str:
start_timestamp = payload.get("timestamp") or event.get("timestamp", "")
if not include_end_timestamps:
return start_timestamp
end_timestamp = payload.get("end_timestamp")
if end_timestamp:
return (
f"{start_timestamp} -> {end_timestamp}"
if start_timestamp
else end_timestamp
)
return start_timestamp
def generate_transcript_text(
events: List[
... (truncated -- full source via MCP)
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