Three defects that only a real MySQL run could show.
The table had no version-local migration. Adding the model to
migrations.Migrate covers databases built from scratch, but every existing
one already has the older versions recorded in sys_migration, so that list
never runs again there. cmd/migrate's post-migration table check caught it:
"迁移后仍缺少表：syb_product_filter". The new version file creates the table
and seeds the same eight rules with FirstOrCreate on the normalized key, so
running both paths against one database cannot duplicate them.
Keyword and NormalizedKeyword were typed text, which MySQL refuses to put in
a key specification without a prefix length (Error 1170), so the unique index
could not be built at all. They are sized 200 now, matching how SYBShop sizes
its own matching key. SQLite accepts text in an index, which is why the whole
test suite passed while the real migration failed.
The 只看启用 filter is removed rather than kept: hiding a disabled structural
rule would conceal the one state on this page that matters most, since a
disabled "#" means roughly 65% of 档口 rows start entering the system again.
Keyword search stays.
Verified against the local MySQL database: migration applies, eight rules
present with traditional Chinese preserved (印花大學T normalizes to 印花大學t),
menu row created under 采采管理.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NTDbDcwbDw1TSAcE6wfh2F
UpdateHits wrote one aggregate per kind, so every structural rule stored
the same number. The disable-confirmation dialog quotes that number
("停用「#」后…约 N 条明细会恢复入库"), and on real data "#" matches 8498
rows while "-" matches 6392 — the dialog would have warned with a figure
2100 rows off for one of them.
Match now returns the rule that matched instead of a char/keyword pair,
so the caller can attribute each hit to one rule, and UpdateHits writes
every rule's own count. Rules that matched nothing are written as 0 so a
previous run's number is never left behind.
The management page is reformatted to the repo's usual Vue layout and
gains the search / 只看启用 / 重置 controls the approved prototype shows.
Cancelling the disable confirmation now just reverts the switch instead
of throwing an unhandled rejection.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NTDbDcwbDw1TSAcE6wfh2F
request.js's shared axios instance times out every admin call at 10s,
but AI matching settings allow the server to wait up to 600s
(aimatching.maxTimeoutSecs) for a real chat/completions round trip.
For shopee product 49915704844 the size dimension had no deterministic
match and genuinely called the model; the frontend cut the connection
before the server replied, which the browser reports as a generic
network failure ("服务器连接异常") that has nothing to do with the
actual cause. Override the timeout on just these two calls instead of
the shared default, which stays tight for every other (fast) admin
request.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01VkjpksKeizaRpYXfgD74Lf
Add batch AI suggestion for Shopee color/size spec mapping: a
specContextVersion snapshot guards both the new suggest endpoints and
must be echoed back, short id binding keeps the model from ever
returning a value outside the server-supplied PDD candidates, and
suggestions only prefill the draft above AutoConfirmMinConfidence -
low-confidence answers show the reason but stay unapplied. Every
AI-sourced mapping is still written as pending by the existing
SetMapping rule and needs an explicit operator confirm, same as
before for manual edits.
Server: server/app/goauto/aimatching/suggest.go (batch provider call),
server/app/goauto/shopeeproduct/{context_version,ai_suggest}.go (spec
context version + suggest-colors/suggest-sizes), wired into
handler.go/router.go/service.go.
Web: shopee-products AI 匹配 button on both tabs, low-confidence rows
left for manual pick, pending AI mappings get an explicit 确认 action.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01VkjpksKeizaRpYXfgD74Lf
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