The ranking bulk endpoint is capped at 500 by the API server, making
it useless for full supplier matching. Per-article ranking (codein filter)
works correctly and is now called only for articles WITH sales data.
getProductRows restructured:
- Phase 2A: mensuel + commandes in parallel (all articles)
- Phase 2B: referentiel + ranking in parallel, only for articlesWithData
(articles that appear in mensuelMap)
For a 45060-article supplier with 5446 with sales:
- Referentiel: 45060 → 5446 calls (88% reduction)
- Ranking: 45060 → 5446 calls (88% reduction)
totalRankedProducts fetched from GET /api/ranking?limit=500 count.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The bulk ranking response (GET /api/ranking?limit=30000) may use
'gencod' instead of 'codein' as the article identifier. Added:
- gtin→codein lookup map built from article gtin fields
- Match entries by entry.codein first, then by entry.gencod→article.gtin
- Diagnostic logging of the first entry's keys and values to identify
the correct identifier field in the API response
- Increased fallback per-article batchSize from 20 to 50
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Remove actif/suspendu filter that caused wrong stats (893€ CA, 249 units)
by incorrectly excluding products with sales. The parallel pagination
and bulk ranking fixes are sufficient to handle large suppliers.
- Increase getMensuelByArticles and getReferentielByArticles batchSize
from 20 to 50, reducing sequential batch iterations by ~2.5x.
- Filter gamme Y products with zero 12-month sales from returned rows.
Reduces grid size (e.g. S053: 14775→fewer rows) without affecting
products that actually sold. Y products with sales are preserved.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Article pagination:
- fetchAllPages fallback now fetches 10 pages in parallel instead of
sequentially. Stops as soon as any page returns < pageSize items.
For S053 (30 pages), reduces sequential time by ~10x.
Ranking:
- getRankingByArticles now fetches the entire network ranking in one
call (GET /api/ranking?limit=30000) and matches by codein.
Replaces foucentrale bulk (which returned 0) and per-article fallback
(which would be 8889 calls for S053).
- totalRankedProducts = actual number of entries returned by the API.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Performance fixes for large suppliers (14k+ articles):
- fetchAllPages now fetches page 1, reads total count from response,
then fetches remaining pages in parallel (10 at a time) instead of
sequentially. Falls back to sequential if no count in response.
- getProductRows filters out suspended/inactive articles before calling
getMensuelByArticles and getReferentielByArticles, reducing API calls
from N_total to N_active (e.g. 14775→~2500 for S053).
- getRankingByArticles receives only active articles for bulk fetch.
- FfArticle now exposes actif and suspendu fields.
Gamme Y support:
- GammeSelect: add Y option with violet color
- GridFilterBar: add Y filter button with violet color
- BulkActionToolbar: add Y bulk assignment button
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
getRankingByArticles now uses GET /api/ranking?foucentrale=<code>
to fetch all rankings for a supplier in a single request instead of
making one request per article. For a 500-article supplier this goes
from ~500 HTTP calls to 2 (count + bulk), eliminating the timeout
that caused the client-side crash on large suppliers.
Falls back to per-article requests if no codeFournisseur is provided
or if the bulk endpoint fails.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
handleSnapshot was only looking at active draftChanges to build the
snapshot. After validation (Valider), drafts are cleared but changes
are applied to row.codeGamme via applyDraftsToRows. This caused
handleSnapshot (Camera/Export) to save an empty snapshot that
overwrote the real one, losing all gamme changes on page reload.
Now handleSnapshot compares (draftChanges[codein] ?? row.codeGamme)
vs row.codeGammeInit to detect ALL changes, whether drafted or
already validated. Uses codeGammeInit as "before" reference (API
value, never modified).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Shows row counts, gamme/code3 fill rates, and sample rows
for AUXENCE/A025 to diagnose missing classification data.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replaces raw sql ANY() template (which had array type issues) with
proper Drizzle inArray(), deduplicating by codein in JS.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The old fournisseur code stored in ventesProduits may differ from the
new API codefou (e.g. "AUXENCE" vs "A025"), causing zero results.
Querying by codein = ANY(...) finds the classification data regardless
of how the supplier was previously keyed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
api-ff-client.ts:
- FfArticle: add reference (ref_fou_principale) and gtin fields
- getArticlesByFournisseur: map ref_fou_principale → reference, gtin → gtin
get-product-rows.ts:
- ProductRow seeded with reference and gtin from API articles
- Phase 6: read codeGamme, codeGammeInit, code3, libelle3 from ventesProduits
(read-only, DISTINCT ON codein ordered by updated_at DESC)
- Phase 7 snapshot still overrides DB gammes when a snapshot exists
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replaces bulk mouvements pagination + per-article stock N+1 with a single
batched call to the new mensuel endpoint (confirmed working via diag).
api-ff-client.ts:
- Remove getStockByFournisseur (no longer needed)
- Add FfMensuelEntry/Ventes/Receptions interfaces
- Add getMensuelByArticles(articles, dateDebut, dateFin, batchSize=20)
→ Map<codein, FfMensuelEntry[]> using no_id as API identifier
get-product-rows.ts:
- Phase 2: getMensuelByArticles + getCommandesByFournisseur in parallel
- Phase 5: aggregate mois×site entries → sales12m, stock12m, workingStores
- qte_vendue / ca_ht are negative → Math.abs()
- stock carry-forward for months with no data
- pa from prmp_fin_mois
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Michael
