Attach call recording + transcript to the Odoo lead (Phase 3 item)
odoo_client.attach_call_artifacts posts the transcript to the lead's chatter (readable in place) and attaches transcript_<sid>.txt + the stereo call WAV. bot.py wires it post-call: extract_and_record now returns the Odoo ref (persisted_to), the in-call tool path stamps it too, the audiobuffer handler records the saved WAV path, and the attach runs in a thread after the lead lands (brief wait for the async WAV write; failures only log — the lead is already safe). Verified e2e against db1: create -> attach -> verify -> delete. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
39
bot.py
39
bot.py
@@ -650,12 +650,17 @@ async def run_agent(transport, caller_number=None, call_sid=None, do_capture=Tru
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# can stamp the verified caller-ID + call_sid onto the lead (the model never supplies a
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# phone number — we don't ask for one). With tools on, this writes the Odoo lead IN-CALL,
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# so the post-call extraction is skipped below to avoid a duplicate.
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# Where the call's artifacts land, filled in as the call runs: the saved recording
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# path (audiobuffer handler) and the Odoo ref of the created lead ("odoo:<model>:<id>"),
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# so the WAV + transcript can be attached to the lead after the call.
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artifacts = {"recording": None, "odoo_ref": None}
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if ENABLE_TOOLS:
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async def _record_appointment(params):
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args = params.arguments or {}
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if do_capture:
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from practice import persist_appointment
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persist_appointment({
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artifacts["odoo_ref"] = persist_appointment({
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"call_sid": call_sid,
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"patient_name": args.get("patient_name"),
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"callback_number": caller_number, # verified caller-ID, not model-supplied
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@@ -807,6 +812,7 @@ async def run_agent(transport, caller_number=None, call_sid=None, do_capture=Tru
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wf.setsampwidth(2)
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wf.setframerate(sample_rate)
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wf.writeframes(audio)
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artifacts["recording"] = path
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logger.info(f"Saved call recording: {path} "
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f"({len(audio)} bytes, {num_channels}ch @ {sample_rate}Hz)")
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@@ -840,13 +846,42 @@ async def run_agent(transport, caller_number=None, call_sid=None, do_capture=Tru
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try:
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from extract import extract_and_record
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await extract_and_record(
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rec = await extract_and_record(
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context.messages, OLLAMA_URL, OLLAMA_MODEL,
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call_sid=call_sid, caller_number=caller_number,
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)
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if rec:
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artifacts["odoo_ref"] = rec.get("persisted_to")
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except Exception:
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logger.exception("Post-call appointment extraction failed")
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# Attach the call recording + transcript to the Odoo lead (Phase 3: staff review a
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# lead with the audio and transcript right on it). Only when a lead actually landed
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# in Odoo; JSONL-fallback leads get artifacts when re-imported... they stay on disk.
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if do_capture and (artifacts["odoo_ref"] or "").startswith("odoo:"):
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try:
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from extract import format_transcript
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from odoo_client import attach_call_artifacts
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_, odoo_model, odoo_id = artifacts["odoo_ref"].split(":")
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# The recording is written by an async handler after stop_recording —
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# give it a moment if it hasn't landed yet.
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for _ in range(10):
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if not RECORD_CALLS or artifacts["recording"]:
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break
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await asyncio.sleep(0.5)
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await asyncio.to_thread(
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attach_call_artifacts,
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odoo_model, int(odoo_id),
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wav_path=artifacts["recording"],
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transcript=format_transcript(context.messages, agent_name=AGENT_NAME),
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call_sid=call_sid,
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)
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logger.info(f"Attached recording+transcript to {artifacts['odoo_ref']} "
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f"(wav={artifacts['recording']})")
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except Exception:
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logger.exception("Attaching call artifacts to Odoo failed (lead itself is safe)")
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async def run_call(websocket, serializer: TwilioFrameSerializer, caller_number=None, call_sid=None):
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"""Phone entrypoint: wrap the Twilio Media Stream in a transport, run the shared agent."""
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