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Convert observer data models to Pydantic BaseModel with timestamps

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Enables .model_dump() serialization for Pipecat Cloud collection.
All metrics now include start_time (Unix timestamp) for timeline
plotting alongside duration_secs.
This commit is contained in:
Mark Backman
2026-03-01 11:51:27 -05:00
parent a738a4d82b
commit ff5b985009
3 changed files with 72 additions and 19 deletions
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6
examples/foundational/29-turn-tracking-observer.py
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@@ -191,7 +191,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# turn analyzer delay).
stt_ttfb = next((t for t in breakdown.ttfb if "STT" in t.processor), None)
if breakdown.user_turn_secs is not None:
stt_note = f" (STT: {stt_ttfb.value:.3f}s)" if stt_ttfb else ""
stt_note = f" (STT: {stt_ttfb.duration_secs:.3f}s)" if stt_ttfb else ""
logger.info(f" User turn: {breakdown.user_turn_secs:.3f}s{stt_note}")
# Show non-STT TTFBs, inserting function calls after the first
@@ -199,7 +199,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
non_stt = [t for t in breakdown.ttfb if t is not stt_ttfb]
fc_shown = False
for ttfb in non_stt:
logger.info(f" {ttfb.processor}: TTFB {ttfb.value:.3f}s")
logger.info(f" {ttfb.processor}: TTFB {ttfb.duration_secs:.3f}s")
if not fc_shown and breakdown.function_calls:
for fc in breakdown.function_calls:
logger.info(f" {fc.function_name}: {fc.duration_secs:.3f}s")
@@ -207,7 +207,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
if breakdown.text_aggregation:
ta = breakdown.text_aggregation
logger.info(f" {ta.processor}: text aggregation {ta.value:.3f}s")
logger.info(f" {ta.processor}: text aggregation {ta.duration_secs:.3f}s")
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):