#!/usr/bin/env python3 """Score recent calls against the Phase 1 gate from the server log. Usage: python scripts/score_calls.py [path/to/avc_run.log] Reads the loguru server log, groups events per call, and reports for each call + an aggregate: outcome type (appointment / callback / none / skipped), caller turns, true model latency (LLM-start -> first TTS), AVC-side termination, lead written, watchdog re-prompts, and errors. Pairs with the stereo WAVs in recordings/. """ import re import sys from collections import Counter from datetime import datetime LOG = sys.argv[1] if len(sys.argv) > 1 else "avc_run.log" TS = re.compile(r"^(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}\.\d+)") SAVED = re.compile(r"Post-call (\w+) saved \(([^)]*)\): (.*)") def t(line): m = TS.match(line) return datetime.strptime(m.group(1), "%Y-%m-%d %H:%M:%S.%f") if m else None calls, cur = [], None err = 0 for line in open(LOG): if "Media stream start" in line: cur = {"sid": (re.search(r"call=(CA\w+)", line) or [None, "?"])[1], "stt": [], "llm_start": None, "lat": [], "closing": False, "hangup": False, "type": None, "lead": None, "reprompts": 0} calls.append(cur) if cur is None: continue if re.search(r"Traceback|ERROR|run_tts\(\) takes|Exception", line): err += 1 if "run_stt:380 - Transcription:" in line: cur["stt"].append(re.search(r"\[(.*)\]", line).group(1).strip()) elif "get_chat_completions:296" in line: cur["llm_start"] = t(line) elif "run_tts:213" in line and "Generating TTS" in line and cur["llm_start"]: d = (t(line) - cur["llm_start"]).total_seconds() if 0 <= d < 60: cur["lat"].append(d) cur["llm_start"] = None elif "signalled closing" in line: cur["closing"] = True elif "ending task / hanging up" in line: cur["hangup"] = True elif "re-prompt #" in line: cur["reprompts"] += 1 elif "no actionable request" in line: cur["type"] = "none" elif "skipping card" in line: cur["type"] = "skipped" else: m = SAVED.search(line) if m: cur["type"] = m.group(1) # appointment | callback cur["lead"] = f"[{m.group(2)}] {m.group(3)}" all_lat = [] print(f"\n=== Call scorecard ({LOG}) — {len(calls)} call(s) ===\n") for i, c in enumerate(calls, 1): turns = len([s for s in c["stt"] if s]) lat = sorted(c["lat"]) p95 = lat[min(len(lat) - 1, int(0.95 * len(lat)))] if lat else 0 all_lat += c["lat"] print(f"Call {i} {c['sid']}: type={c['type'] or '—':11s} turns={turns} | " f"lat med={(lat[len(lat)//2] if lat else 0):.2f}s p95={p95:.2f}s | " f"hangup={'Y' if c['hangup'] else '-'} reprompts={c['reprompts']} | " f"lead={'Y' if c['lead'] else 'no'}") if c["lead"]: print(f" {c['lead']}") al = sorted(all_lat) p95 = al[min(len(al) - 1, int(0.95 * len(al)))] if al else 0 types = Counter(c["type"] or "incomplete" for c in calls) print("\n=== By outcome type ===") for k in ("appointment", "callback", "none", "skipped", "incomplete"): if types.get(k): print(f" {k:11s}: {types[k]}") print("\n=== Phase 1 gate ===") print(f" calls placed : {len(calls)} (gate wants 10 consecutive clean)") print(f" errors / tracebacks : {err} ({'PASS' if err == 0 else 'FAIL'})") print(f" AVC-side hangups : {sum(c['hangup'] for c in calls)}/{len(calls)}") print(f" leads written : {sum(1 for c in calls if c['lead'])}/{len(calls)} " f"(appointment {types.get('appointment', 0)} + callback {types.get('callback', 0)})") print(f" watchdog re-prompts (silence): {sum(c['reprompts'] for c in calls)}") print(f" latency P95 (LLM->TTS) : {p95:.2f}s ({'PASS <3s' if p95 < 3 else 'CHECK'})") print(f"\n recordings/ has the stereo WAVs (caller=L, agent=R) for audio review.")