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fix: prevent CA multiplication in analytics by using DISTINCT ON per article
artfou1 has multiple rows per article (multi-supplier), causing each mvtart movement to be counted N times in the JOIN. Use a CTE with DISTINCT ON (art_no_id) ORDER BY no_id to pick one canonical supplier per article, matching the same pattern used in pgGetArticlesByFournisseur. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -645,21 +645,27 @@ export async function pgGetCaByFournisseur(
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moisN1: string
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): Promise<CaByFournisseurRow[]> {
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const result = await pgNoParallel(sql`
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WITH art_fou AS (
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-- Un seul fournisseur par article (le plus ancien no_id = fournisseur principal)
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SELECT DISTINCT ON (art_no_id) art_no_id, code AS codefou
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FROM artfou1
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ORDER BY art_no_id, no_id
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)
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SELECT
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af.code AS code,
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af.codefou AS code,
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MAX(f.raisonsociale)::text AS nom,
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m.site,
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TO_CHAR(m.datmvt, 'YYYY-MM') AS mois,
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SUM(-m.mntmvtttc)::float AS ca_ttc
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FROM mvtart m
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JOIN articles a ON a.no_id = m.artnoid
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JOIN artfou1 af ON af.art_no_id = a.no_id
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JOIN fouadr1 f ON f.code = af.code AND f.sit_code = '000'
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JOIN articles a ON a.no_id = m.artnoid
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JOIN art_fou af ON af.art_no_id = a.no_id
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JOIN fouadr1 f ON f.code = af.codefou AND f.sit_code = '000'
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WHERE (TO_CHAR(m.datmvt, 'YYYY-MM') = ${mois} OR TO_CHAR(m.datmvt, 'YYYY-MM') = ${moisN1})
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AND m.site IN ('292', '579')
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AND m.genremvt = 3
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GROUP BY af.code, m.site, TO_CHAR(m.datmvt, 'YYYY-MM')
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ORDER BY af.code, m.site, TO_CHAR(m.datmvt, 'YYYY-MM')
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GROUP BY af.codefou, m.site, TO_CHAR(m.datmvt, 'YYYY-MM')
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ORDER BY af.codefou, m.site, TO_CHAR(m.datmvt, 'YYYY-MM')
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`);
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console.log(`[pg-ff] CaByFournisseur: ${result.rows.length} lignes pour ${mois}/${moisN1}`);
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