4.6 KiB
4.6 KiB
v1.1 worker dispatch cards
Global v1 rules still binding (see v1-tasks.md header): own paths only, uv, no ORM, no em dashes, mock-first, approval gate untouched, DinD test pattern docker compose run --rm api-test, COPY dir ./dir not COPY dir dest, commit early and often on your own branch, never discard files you did not create (no git clean/reset --hard/checkout --).
WA1: apps/api — email watch + notifications + suggestions
Paths: apps/api/** only (this wave you OWN apps/api; WA2 never touches it).
Migration 003_email_notify.sql:
CREATE TABLE IF NOT EXISTS email_suggestion (
id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
application_id uuid REFERENCES application(id) ON DELETE SET NULL,
mailbox_from text NOT NULL,
subject text NOT NULL,
snippet text NOT NULL,
classification text NOT NULL CHECK (classification IN ('interview_invite','rejection','question','noise')),
state_proposal text, -- e.g. 'interviewing', null = no move suggested
status text NOT NULL DEFAULT 'pending' CHECK (status IN ('pending','accepted','dismissed')),
received_at timestamptz NOT NULL,
created_at timestamptz DEFAULT now()
);
CREATE TABLE IF NOT EXISTS notification_log (
id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
channel text NOT NULL,
kind text NOT NULL, -- 'daily_digest' | 'email_suggestion'
payload jsonb NOT NULL,
delivered boolean NOT NULL,
error text,
created_at timestamptz DEFAULT now()
);
Deliverables:
app/imap_watch.py: stdlib imaplib client (SSL, env IMAP_HOST/PORT/USER/PASS; disabled unless EMAIL_WATCH_ENABLED=true). Fetch UNSEEN since last poll; match sender domain + subject/body keywords to open applications (status in sent/interviewing) via repo query (company name in subject/body, or sender domain in posting URL raw); cheap-class llm taskemail_classify-> {classification, state_proposal?, reason}; insert email_suggestion rows, skip noise↔noise spam dedupe (same from+subject+day -> skip). Tests use a FakeImap (no network).app/notify.py: NotificationChannel protocol; LogChannel (writes notification_log delivered=true); WebhookChannel (env NOTIFY_WEBHOOK_URL, httpx POST {kind,text,data}, 2xx=delivered else error row).send_notification(kind,text,data)used by scheduler + email watch.- Scheduler additions: imap poll job every 15 min (only when enabled); daily digest 07:30 -> /today payload text.
- Endpoints:
GET /suggestions(pending),POST /suggestions/{id}/accept(applies state_proposal via normal guarded transition path; apply last_activity),POST /suggestions/{id}/dismiss,GET /notifications/log(last 50). - Mock additions NOT your job (WA2 adds email_classify mock to llm-gateway); your code calls gateway task
email_classifydefensively (mock mode must work; ship a fallback inline mock dict in app/llm.py like existing tasks so tests pass even before WA2 lands). - Tests (+ target 25): imap matching logic, classifier->row, noise dedupe, accept applies transition through guard, webhook success/failure rows, digest payload shape.
- Run
docker compose run --rm api-test, keep suite green (previous 90 + yours).
WA2: packages/matching + llm-gateway mocks
Paths: packages/matching/** (new), packages/llm-gateway/src/llm_gateway/mock.py + its test file ONLY.
- packages/matching:
similarity.py: normalize (lowercase, strip agency suffixes like AB/Consulting... keep conservative),title_score(a,b)rapidfuzz token_set_ratio,employer_match(a,b)normalized equality,desc_score(a,b)token_set_ratio on first 2000 chars.dedupe.py:cluster(postings: list[dict]) -> map[cluster_id, list[id]]with rule: same employer OR (title>=85 AND desc>=80). Deterministic, sorted cluster ids c1..cN by max score desc.keywords.py:extract_keywords(text, top_n=30)(freq, drop swedish+english stopwords, keep tech multiwords like "fast api"->fastapi ok simple),coverage(cv_text, posting_text) -> {matched, missing, ratio}.- pyproject (uv/hatchling), README, pytest suite (>=20 tests incl. agency repost fixture pairs: invent 3 realistic triples, one of them being legit-different jobs at same agency that must NOT cluster).
- llm-gateway mock additions: deterministic outputs for
email_classify(interview_invite w/ state_proposal interviewing),cv_tailor(reordered sections + change_log list),deadline_extract({apply_by: null or ISO date}); register in task->class map (email_classify+deadline_extract = CHEAP, cv_tailor = STRONG); extend tests (+6). - uv venv per package, pytest green, branch feat/WA2-matching, push.