Mirrors the WeChat scraper patterns (M3) using the shared paginator +
parser + repo building blocks. Three new async generators yield
snake_case dicts + verbatim raw_json, ready for the channel-generic
upsert_customer / upsert_messages repos.
- app/scraper/whatsapp.py (new): scrape_whatsapp_accounts /
scrape_whatsapp_friends (page-number pagination over the
data.overviews / data.totalCount envelope) and scrape_whatsapp_messages
(backward-cursor pagination, JSON body {uid,friendUid,start,end} —
NOT form-encoded like WeChat msg/chats). Drops type==-2 dividers;
maps mediaName -> file_url as a deferred-download key.
- app/scraper/parsers.py: add normalize_whatsapp_type (0->text,
1->image, -2->divider, else unknown; never raises) and a shared
coerce_int_or_none scraper helper (mirrors repos._coerce_int so the
scraper emits type_raw ints without a DB dependency).
- app/storage/repos.py: add upsert_whatsapp_account (PK uid) which
also upserts the embedded Staff(user_id, name) via the existing
upsert_staff_from_account helper; WhatsappAccount imported.
Tests (respx mocks, no network): 3 cassette fixtures + 3 scraper test
modules (accounts/friends/messages), parsers + repos extended with WA
cases. Divider drop, backward-cursor advance (end == E1-1), JSON body
asserts, embedded-staff upsert, and channel-generic Customer/Message
upserts all covered.
Suite: 182 -> 211 passing. ruff clean.
Co-Authored-By: Claude <noreply@anthropic.com>
浅念
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