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sql/VAT_Summary.sql

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+-- ============================================================================
+--  VAT Summary  (Kontrolle Umsatzsteuer-Voranmeldung)
+--  Odoo 17 / PostgreSQL
+--
+--  Modell : brandize.datacenter.amazon.vat.transaction
+--  Tabelle: brandize_datacenter_amazon_vat_transaction
+--
+--  Rechnungsdatum von / bis : 01.09.2026 / 30.09.2026
+--
+--  Parameter:
+--      %(month)s   Abrechnungszeitraum als Text, z. B. '2026-SEP'
+--
+--  Aufruf (Odoo / psycopg2):
+--      cr.execute(open('VAT_Summary.sql').read(), {'month': '2026-SEP'})
+--
+--  In psql:
+--      \set month '2026-SEP'
+--      ... WHERE activity_period = :'month'
+--
+--  Excel-Namen -> SQL-Spalten:
+--      QUANTITY             -> qty
+--      GROSS_INVOICE_AMOUNT -> total_activity_value_amt_vat_incl
+--      TOTAL_VAT            -> total_activity_value_vat_amt
+--      IN_PERIOD            -> activity_period = %(month)s
+--      SALES_CHANNEL        -> sales_channel   (<> 'AMAZON_FEE')
+--      SALE_ARRIVAL_COUNTRY -> sale_arrival_country
+--      SALE_DEPART_COUNTRY  -> sale_depart_country
+--      BUYER_VAT_NR_COUNTRY -> buyer_vat_number_country
+--      ZERO_HAS_B2B_VAT_NR  -> buyer_vat_number <> ''
+--
+--  Hinweis: Die "bereinigten" Hilfsspalten (CU-CX) sind nur ein Excel-Workaround
+--  fuer als Text/Datum importierte Zellen. In der DB sind die numerischen
+--  Spalten bereits korrekt typisiert, daher werden hier die Rohspalten genutzt.
+-- ============================================================================
+
+WITH base AS (
+    SELECT
+        sale_arrival_country,
+        sale_depart_country,
+        buyer_vat_number_country,
+        buyer_vat_number,
+        qty,
+        total_activity_value_amt_vat_incl AS gross,
+        total_activity_value_vat_amt      AS vat
+    FROM brandize_datacenter_amazon_vat_transaction
+    WHERE activity_period = %(month)s
+      AND sales_channel <> 'AMAZON_FEE'
+),
+arrival AS (
+    SELECT
+        sale_arrival_country AS country_code,
+        SUM(qty)   AS quantity,
+        SUM(gross) AS gross_total,
+        -- Non-OSS: Abgangs- und Ankunftsland identisch (Inlandslieferung)
+        SUM(gross) FILTER (WHERE sale_depart_country = sale_arrival_country) AS gross_non_oss,
+        SUM(vat)   FILTER (WHERE sale_depart_country = sale_arrival_country) AS vat_non_oss,
+        -- Excl. B2B: nur Umsaetze mit USt (TOTAL_VAT <> 0)
+        SUM(gross) FILTER (WHERE vat <> 0) AS gross_excl_b2b
+    FROM base
+    WHERE sale_arrival_country IS NOT NULL
+      AND sale_arrival_country <> ''
+    GROUP BY sale_arrival_country
+),
+intra AS (
+    -- Innergemeinschaftliche Lieferung: B2B mit USt-Nr. und 0 %% USt
+    SELECT
+        buyer_vat_number_country AS country_code,
+        SUM(gross) AS intra_net
+    FROM base
+    WHERE buyer_vat_number_country IS NOT NULL
+      AND buyer_vat_number_country <> ''
+      AND buyer_vat_number IS NOT NULL
+      AND buyer_vat_number <> ''
+      AND vat = 0
+    GROUP BY buyer_vat_number_country
+)
+SELECT
+    a.country_code AS "Country Code",
+    COALESCE(c.name->>'de_DE', c.name->>'en_US', a.country_code) AS "Land",
+    to_char(a.quantity, 'FM999,999,999') AS "Quantity",
+    translate(to_char(a.gross_total,    'FM999,999,999,999.99'), ',.', '.,') || ' €' AS "Gross Sales (Total)",
+    translate(to_char(a.gross_non_oss,  'FM999,999,999,999.99'), ',.', '.,') || ' €' AS "Gross Sales (Non-OSS)",
+    translate(to_char(a.vat_non_oss,    'FM999,999,999,999.99'), ',.', '.,') || ' €' AS "VAT to Remit (Non-OSS)",
+    translate(to_char(a.gross_excl_b2b, 'FM999,999,999,999.99'), ',.', '.,') || ' €' AS "Gross Sales (Excl. B2B)",
+    translate(to_char(COALESCE(i.intra_net, 0), 'FM999,999,999,999.99'), ',.', '.,') || ' €'
+        AS "Intra-community supply – Net sales"
+FROM arrival a
+LEFT JOIN intra       i ON i.country_code = a.country_code
+LEFT JOIN res_country c ON c.code         = a.country_code
+ORDER BY a.country_code;
+
+-- ----------------------------------------------------------------------------
+--  Import-Kontrolle (entspricht der LET-Pruefung im Sheet):
+--  zaehlt Datensaetze, deren Betragsspalten nicht als Zahl vorliegen.
+--
+--  SELECT count(*) AS nicht_numerische_zellen
+--    FROM brandize_datacenter_amazon_vat_transaction
+--   WHERE activity_period = %(month)s
+--     AND (total_activity_value_amt_vat_incl IS NULL
+--          OR total_activity_value_vat_amt IS NULL);
+--
+--  Hinweis: Die Zeilenreihenfolge im Sheet ist die Erstauftretens-Reihenfolge
+--  (UNIQUE(FILTER(...))). Falls gewuenscht, statt "ORDER BY a.country_code"
+--  ein "MIN(id) AS first_seen" in der arrival-CTE ergaenzen und danach sortieren.
+-- ----------------------------------------------------------------------------