Commit Graph
9 Commits
Author SHA1 Message Date
whqreza cb621ca5d0 feat(monitoring): multi-model dashboard v2.1 — tabs, per-model records, voice playback + MinIO dual-write
Problem: the dashboard was Jev-centric; NLU/arbiter/fallback DeepSeek, STT
providers and the audio-enhancer were barely visible, and stored texts/voices
had no real access path.

Bot (additive; reply path untouched):
- nlu.result now records latency_ms + the DeepSeek usage tokens
- matching.arbitration/fallback.result fill the model + latency_ms columns
  (payload unchanged; SQL coalesces column/payload so old rows still count)
- storage.py: MinIO dual-write layer — every voice (raw + denoised) and user
  attachment is mirrored fire-and-forget into bucket bot-media; the blocking
  minio SDK runs via asyncio.to_thread (senior-engineer review) so the event
  loop is never stalled; empty MINIO_* env = layer off; bucket auto-created
- requirements: minio>=7.2

Backend (admin-gated, read-only):
- GET /bot-metrics/models — one record per model (jev, deepseek-nlu,
  deepseek-arbiter, deepseek-fallback, audio-enhancer + dynamic per-provider
  STT) with calls/ok-rate/p50/p95/tokens/last-seen + version-drift vs the pin
- GET /bot-metrics/models/{id}/daily — per-model daily calls/fails/tokens/p50
- GET /bot-metrics/stages — every stage tagged with its Persian pipeline
  section (صوت/درک پیام/تطبیق/ابهام و انتخاب/پیش‌نویس)
- /traces now carries input_kind + a 120-char text excerpt (consensus →
  input.text → first STT transcript)
- media serving: POST /media-url mints a short-lived HMAC URL (audio/a tags
  cannot send Authorization); GET /media streams from MinIO bot-media with
  the read-only ./bot/data mount as fallback for pre-MinIO files; hard ref
  validation (voices|attachments only, no .., extension whitelist)
- router exempted from the global Bearer dependency (files.py pattern) —
  every endpoint keeps its own require_role('admin')

Frontend /bot-monitor (RTL, recharts):
- four tabs: نمای کلی / مدل‌ها (records table + per-model expandable daily
  charts: calls/fails, tokens, p50) / بخش‌ها (sections grouped) / پیام‌ها
- message drawer rebuilt: inline <audio controls> for raw + denoised voice,
  download links, every STT transcript + consensus side-by-side, user
  attachments, then the event timeline
- terminology: «ترس» → «پرونده‌ی پیام» with tooltips + a one-line legend

Grafana: bot-observability gains a «کارکرد مدل‌ها» table (stage→model
mapping for legacy rows); the explorer gains a message text column.

Seed: real (tiny) ogg files written + mirrored to MinIO, NLU usage tokens,
column-level model/latency on matching events.

Verified locally: /models returns all 7 records incl. per-STT and NLU tokens;
media 200 via signed URL (MinIO) and 401 without; ../ and .py rejected (400);
disk fallback serves a legacy file; pm-role 403 on every new endpoint;
bucket auto-created with 14 mirrored objects; tsc + vite build clean;
Grafana re-provisions 24 panels.
2026-10-25 22:02:40 +03:30
whqreza 787824a19e feat(matching): implement two-stage matching with DeepSeek arbiter, fail-stop guard, and zero-probability filter 2026-10-16 03:13:21 +03:30
whqreza 76b297f823 feat(audio): add pluggable audio preprocessing and denoising layer before STT
- Add audio_enhancer module with 60s timeout, zero-transcoding default, and fail-soft fallback
- Persist enhanced audio in daily folders with _enhanced suffix and emit audio.enhance.result event
- Connect audio enhancer to transcribe_multi and transcribe in stt.py
- Forward message_id and trace_id from handlers
- Ensure consensus_text fallback persistence and remove scenario leakage in nlu.py
- Add test_enhancer.py unit suite and update smoke_test.py
2026-10-15 20:40:45 +03:30
whqreza 1c853e50a9 feat(matching): Jev entity matching phases 2-5 (per-field fan-out, variants, candidate ambiguity buttons)
Phase 2 — jev.py client: POST /v1/systemone, PINNED model jev-1.13.0 (drift warning when the response model differs), one retry on 429/5xx, fail-soft (None on any error), usage/latency returned for observability. Config adds TYPESAFE_API_KEY / JEV_* (thresholds 0.85/0.60, 15 questions per field); no daily cap by owner decision. bot/.env is now mounted read-only into the container so the key never enters compose/git.

Phase 3 — matching.py: برون‌گروهی (one request per field, parallel), درون‌گروهی (one choice question per mention sharing the same full candidate list + «_none»), درون‌واریانسی (all STT spellings in one question). Routing: conf>=exact → bind; floor..exact → ambiguity; else/_none → new; missing/failed field → difflib fallback (bug fixed during testing: a failed request used to record 'new' instead of falling back). Resolver gains full cached lists for suppliers/materials (paged) plus brands (API+DB) and specs (EAV values + draft specs). NLU prompt now emits entity_mentions (6 fields) with the voice-variant grouping rule; sanitize_mentions guards the shape. handle_message runs matching only for register_quote/update_draft/add_material behind JEV_ENABLED; jev_map threads into quote/material resolve_payload (Jev hit skips difflib; exact writes ids; ambiguity skips difflib). Spec effect per owner: spelling normalization only (normalize_brand_spec).

Phase 4 — entity-match ambiguity sub-messages: create_ambiguities() builds deduped entries {kind: entity_match, field, variants, candidates, details with Persian percentages}; new keyboards.ambiguity_candidates_keyboard renders one button per candidate + «هیچ‌کدام — ایجاد جدید»; callbacks handle amb⛏️{prefix}:{amb_id}:{idx} (applies the candidate via matching.apply_choice then re-resolves/renders) and amb:new (rejected → auto-create path at commit). Every user choice lands in observability (ambiguity.user_choice with arg+candidates).

Phase 5 — voice variants: NLU groups different STT spellings of one entity into one variants[] (verified live: مصطفوی/مستفدی → one supplier mention); tools/test_matching.py live section (RUN_LIVE=1) exercises real DeepSeek + real Jev without touching Bale.

Tests: test_jev.py 5/5 (mock HTTP: no-key, happy path, 429-retry, 400, exception), test_matching.py 11/11 mock + 3/3 live (real NLU produced 7 mentions with correct fields; real Jev matched «50 کیلویی»→«۵۰ کیلویی» 0.98 and «کیسه» 1.0 and correctly returned new against the emptied catalog); observability regression 8/8.
2026-10-12 21:24:03 +03:30
whqreza d58b619107 feat(observability): phase-1 silent pipeline recorder + phase-0 Jev validation
Phase 0 — Jev validated with the real key (5 Persian scenarios, api.typesafe.ai): stale project name «منشیانه»->«منشانه» conf 0.73 (ambiguity band), STT spelling variants «مصطفوی/مستفدی/مسطفی»->«بازرگانی مصطفوی» conf 0.93, exact «دفتر» 0.88, proper _none rejection for «کاغذ A4» 0.92, and two mentions in ONE request (0.77/0.64). Exact model version to pin: jev-1.13.0. Latency 0.7-1.1s per field request; ~450-650 in / 64-133 out tokens.

Phase 1 — Observability (DB-only, zero extra LLM tokens, nothing is ever deleted):

- new tables bot_traces + bot_trace_events (idempotent DDL in db_init.py; ORM in models.py)

- new app/observability.py: _jsonable (UUID/datetime/Decimal/set/enum/dataclass-safe), trace_start, event, log_resolution, link_draft, latest_trace_for_draft, set_trace_status, span() context manager, save_voice (Path.mkdir parents+exist_ok, day folders)

- capture points wired: input.text; input.voice (+voice persisted under OBS_VOICE_DIR); stt.run + per-provider stt.result (success AND failure, latency, model); nlu.request + nlu.result with prompt_hash/prompt_version; entities.extracted; routing.decision (difflib baseline for the phase-6 A/B); ambiguity.sent; ambiguity.user_choice (buttons + free-text reply path); user_choice.pick; draft.render; draft.edit (wizard-side edits detected by the sync loop); draft.commit (quote/supplier/material/project + trace status/quote id); draft.cancel

- compose: persistent ./bot/data:/srv/bot/data volume; bot/.gitignore: data/ (runtime data never committed, never deleted)

- tests: bot/tools/test_observability.py -> 8/8 pass (jsonable cases, trace lifecycle, JSONB round-trip, draft linking, status update, save_voice day-folder mkdir, span task). Verified live: voice file lands on the host volume and is gitignored; rows + files persist across bot restart.
2026-10-12 21:04:50 +03:30
whqreza 693e7511c6 feat(nlu): clean up entity leakage and add generic Isfahan acoustic rules 2026-10-11 10:12:40 +03:30
whqreza 19c3055008 feat(bot): add strict whitelist auth bypass, multi-STT consensus pipeline, and applicant logging 2026-10-08 23:24:17 +03:30
whqreza 77c0cacbb6 feat(bot): centralize defaults, refine ambiguity lifecycle, improve entity resolution and auto-create new projects 2026-10-08 22:33:15 +03:30
whqreza 638076dbaa refactor(bot)!: rename 'ai procurement' -> 'bot/' so the compose build context is committed
The bot service in docker-compose.yml builds from ./bot, but the agent code lived in 'ai procurement/' and ./bot was only a Windows junction on reza.g's machine (and was gitignored) — exactly as the team reported: 'bot/ was never committed — prod-v7's bot is un-buildable from the repo.'

- junction removed; 'ai procurement/' renamed to 'bot/' via git mv (all 41 files keep their history as pure renames)
- 'bot/' dropped from .gitignore (voice/ stays ignored — runtime voice notes; bot/.env stays ignored by bot/.gitignore)
- compose needs no change: context: ./bot and ./bot/app now resolve to committed files
- bot/INTEGRATION-REPORT.md added: full story (problem, root cause, git state, security note on the committed BALE_BOT_TOKEN / AI_API_KEY compose defaults, and usage instructions for the team)

Verified: 41 renames staged with zero secret/cache files; voice/ and bot/.env still ignored.
2026-10-02 12:52:25 +03:30