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:
tocmo0nlord
2026-07-04 17:03:00 +00:00
parent 1e7b7844a4
commit bbfff482a3
4 changed files with 96 additions and 3 deletions

View File

@@ -145,3 +145,40 @@ def create_appointment_request(patient_name, callback_number, reason, preferred_
vals["user_id"] = ODOO_USER_ID
rec = _exec(uid, models, "crm.lead", "create", vals)
return ("crm.lead", rec)
def attach_call_artifacts(model, rec_id, wav_path=None, transcript=None, call_sid=None):
"""Attach the call recording (WAV) and post the transcript to a lead's chatter.
Called post-call for the record created by create_appointment_request. The transcript
goes in as a chatter note (readable in place) AND as a .txt attachment (downloadable);
the WAV is attached as-is. Any failure raises — the caller logs and moves on (the lead
itself is already safe)."""
import base64
uid, models = _connect()
sid = call_sid or "call"
if transcript:
body = "<b>📼 Call transcript</b><br/>" + "<br/>".join(
escape(line) for line in transcript.splitlines() if line.strip()
)
_exec(uid, models, model, "message_post", [rec_id], body=body)
_exec(uid, models, "ir.attachment", "create", [{
"name": f"transcript_{sid}.txt",
"datas": base64.b64encode(transcript.encode()).decode(),
"res_model": model,
"res_id": rec_id,
"mimetype": "text/plain",
}])
if wav_path and os.path.isfile(wav_path):
with open(wav_path, "rb") as fh:
b64 = base64.b64encode(fh.read()).decode()
_exec(uid, models, "ir.attachment", "create", [{
"name": os.path.basename(wav_path),
"datas": b64,
"res_model": model,
"res_id": rec_id,
"mimetype": "audio/wav",
}])