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-- ============================================================================
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-- Loeschen aller Datensaetze eines Abrechnungszeitraums
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-- Odoo 17 / PostgreSQL
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--
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-- Modell : brandize.datacenter.amazon.vat.transaction
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-- Tabelle: brandize_datacenter_amazon_vat_transaction
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--
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-- Parameter:
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-- %(month)s Abrechnungszeitraum als Text, z. B. '2026-SEP'
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--
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-- Aufruf (Odoo / psycopg2):
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-- cr.execute(open('Delete_Activity_Period.sql').read(), {'month': '2026-SEP'})
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--
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-- In psql stattdessen:
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-- \set month '2026-SEP'
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-- ... WHERE activity_period = :'month'
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--
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-- ACHTUNG: Loescht unwiderruflich. Vorher die Anzahl pruefen (siehe unten).
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-- ============================================================================
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-- Kontrolle vor dem Loeschen (betroffene Datensaetze zaehlen):
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-- SELECT count(*) FROM brandize_datacenter_amazon_vat_transaction
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-- WHERE activity_period = %(month)s;
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DELETE FROM brandize_datacenter_amazon_vat_transaction
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WHERE activity_period = %(month)s;
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-- ----------------------------------------------------------------------------
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-- In psql empfiehlt sich eine Transaktionsklammer, damit die Loeschung erst
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-- nach Sichtkontrolle bestaetigt wird:
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--
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-- BEGIN;
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-- DELETE FROM brandize_datacenter_amazon_vat_transaction
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-- WHERE activity_period = :'month';
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-- -- Ergebnis pruefen, dann:
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-- COMMIT; -- bestaetigen
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-- -- ROLLBACK; -- verwerfen
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--
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-- In Odoo NICHT verwenden: dort umschliesst Odoo die Transaktion selbst.
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-- ----------------------------------------------------------------------------
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-- ============================================================================
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-- Summe je Abgangsland
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-- Odoo 17 / PostgreSQL
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--
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-- Modell : brandize.datacenter.amazon.vat.transaction
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-- Tabelle: brandize_datacenter_amazon_vat_transaction
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--
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-- Summiert den Bruttoumsatz (inkl. USt) je Bereich und Abgangsland
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-- (SALE_DEPART_COUNTRY) und haengt eine Gesamt-Summe an.
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--
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-- Parameter:
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-- %(month)s Abrechnungszeitraum als Text, z. B. '2026-SEP'
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--
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-- Aufruf (Odoo / psycopg2):
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-- cr.execute(open('Summe_je_Abgangsland.sql').read(), {'month': '2026-SEP'})
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--
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-- In psql stattdessen:
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-- \set month '2026-SEP'
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-- ... AND activity_period = :'month'
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--
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-- Hinweis: Die Spaltennamen entsprechen den Odoo-Feldnamen (Kleinschreibung
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-- der CSV-Header). Falls ein Feld in der DB anders heisst, hier anpassen.
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-- ============================================================================
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WITH base AS (
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SELECT
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-- Bereich: EU-Marktplaetze werden zusammengefasst, alle uebrigen
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-- Marktplaetze (z. B. amazon.co.uk) erscheinen unter ihrem eigenen Namen.
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CASE
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WHEN marketplace IN (
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'amazon.de', 'amazon.fr', 'amazon.it', 'amazon.es',
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'amazon.nl', 'amazon.pl', 'amazon.se', 'amazon.cz',
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'amazon.com.be', 'amazon.be'
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) THEN 'EU-Marktplätze'
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ELSE marketplace
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END AS bereich,
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sale_depart_country AS abgangsland,
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total_activity_value_amt_vat_incl AS brutto
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FROM brandize_datacenter_amazon_vat_transaction
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WHERE sale_depart_country IS NOT NULL
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AND sale_depart_country <> ''
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AND activity_period = %(month)s
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)
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SELECT
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CASE WHEN GROUPING(bereich) = 1 THEN 'Gesamt' ELSE bereich END AS "Bereich",
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CASE WHEN GROUPING(bereich) = 1 THEN '' ELSE abgangsland END AS "Abgangsland",
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-- Deutsche Zahlformatierung: 90717.93 -> "90.717,93 €"
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translate(to_char(SUM(brutto), 'FM999,999,999,999.99'), ',.', '.,') || ' €'
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AS "Brutto (inkl. USt)"
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FROM base
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GROUP BY GROUPING SETS ((bereich, abgangsland), ())
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ORDER BY
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GROUPING(bereich), -- Gesamt-Zeile zuletzt
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CASE bereich WHEN 'EU-Marktplätze' THEN 0 ELSE 1 END, -- EU zuerst
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abgangsland;
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-- ============================================================================
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-- VAT Summary (Kontrolle Umsatzsteuer-Voranmeldung)
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-- Odoo 17 / PostgreSQL
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--
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-- Modell : brandize.datacenter.amazon.vat.transaction
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-- Tabelle: brandize_datacenter_amazon_vat_transaction
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--
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-- Rechnungsdatum von / bis : 01.09.2026 / 30.09.2026
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--
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-- Parameter:
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-- %(month)s Abrechnungszeitraum als Text, z. B. '2026-SEP'
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--
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-- Aufruf (Odoo / psycopg2):
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-- cr.execute(open('VAT_Summary.sql').read(), {'month': '2026-SEP'})
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--
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-- In psql:
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-- \set month '2026-SEP'
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-- ... WHERE activity_period = :'month'
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--
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-- Excel-Namen -> SQL-Spalten:
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-- QUANTITY -> qty
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-- GROSS_INVOICE_AMOUNT -> total_activity_value_amt_vat_incl
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-- TOTAL_VAT -> total_activity_value_vat_amt
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-- IN_PERIOD -> activity_period = %(month)s
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-- SALES_CHANNEL -> sales_channel (<> 'AMAZON_FEE')
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-- SALE_ARRIVAL_COUNTRY -> sale_arrival_country
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-- SALE_DEPART_COUNTRY -> sale_depart_country
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-- BUYER_VAT_NR_COUNTRY -> buyer_vat_number_country
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-- ZERO_HAS_B2B_VAT_NR -> buyer_vat_number <> ''
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--
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-- Hinweis: Die "bereinigten" Hilfsspalten (CU-CX) sind nur ein Excel-Workaround
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-- fuer als Text/Datum importierte Zellen. In der DB sind die numerischen
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-- Spalten bereits korrekt typisiert, daher werden hier die Rohspalten genutzt.
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-- ============================================================================
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WITH base AS (
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SELECT
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sale_arrival_country,
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sale_depart_country,
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buyer_vat_number_country,
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buyer_vat_number,
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qty,
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total_activity_value_amt_vat_incl AS gross,
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total_activity_value_vat_amt AS vat
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FROM brandize_datacenter_amazon_vat_transaction
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WHERE activity_period = %(month)s
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AND sales_channel <> 'AMAZON_FEE'
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),
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arrival AS (
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SELECT
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sale_arrival_country AS country_code,
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SUM(qty) AS quantity,
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SUM(gross) AS gross_total,
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-- Non-OSS: Abgangs- und Ankunftsland identisch (Inlandslieferung)
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SUM(gross) FILTER (WHERE sale_depart_country = sale_arrival_country) AS gross_non_oss,
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SUM(vat) FILTER (WHERE sale_depart_country = sale_arrival_country) AS vat_non_oss,
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-- Excl. B2B: nur Umsaetze mit USt (TOTAL_VAT <> 0)
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SUM(gross) FILTER (WHERE vat <> 0) AS gross_excl_b2b
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FROM base
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WHERE sale_arrival_country IS NOT NULL
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AND sale_arrival_country <> ''
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GROUP BY sale_arrival_country
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),
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intra AS (
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-- Innergemeinschaftliche Lieferung: B2B mit USt-Nr. und 0 %% USt
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SELECT
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buyer_vat_number_country AS country_code,
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SUM(gross) AS intra_net
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FROM base
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WHERE buyer_vat_number_country IS NOT NULL
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AND buyer_vat_number_country <> ''
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AND buyer_vat_number IS NOT NULL
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AND buyer_vat_number <> ''
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AND vat = 0
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GROUP BY buyer_vat_number_country
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)
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SELECT
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a.country_code AS "Country Code",
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COALESCE(c.name->>'de_DE', c.name->>'en_US', a.country_code) AS "Land",
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to_char(a.quantity, 'FM999,999,999') AS "Quantity",
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translate(to_char(a.gross_total, 'FM999,999,999,999.99'), ',.', '.,') || ' €' AS "Gross Sales (Total)",
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translate(to_char(a.gross_non_oss, 'FM999,999,999,999.99'), ',.', '.,') || ' €' AS "Gross Sales (Non-OSS)",
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translate(to_char(a.vat_non_oss, 'FM999,999,999,999.99'), ',.', '.,') || ' €' AS "VAT to Remit (Non-OSS)",
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translate(to_char(a.gross_excl_b2b, 'FM999,999,999,999.99'), ',.', '.,') || ' €' AS "Gross Sales (Excl. B2B)",
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translate(to_char(COALESCE(i.intra_net, 0), 'FM999,999,999,999.99'), ',.', '.,') || ' €'
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AS "Intra-community supply – Net sales"
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FROM arrival a
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LEFT JOIN intra i ON i.country_code = a.country_code
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LEFT JOIN res_country c ON c.code = a.country_code
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ORDER BY a.country_code;
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-- ----------------------------------------------------------------------------
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-- Import-Kontrolle (entspricht der LET-Pruefung im Sheet):
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-- zaehlt Datensaetze, deren Betragsspalten nicht als Zahl vorliegen.
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--
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-- SELECT count(*) AS nicht_numerische_zellen
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-- FROM brandize_datacenter_amazon_vat_transaction
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-- WHERE activity_period = %(month)s
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-- AND (total_activity_value_amt_vat_incl IS NULL
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-- OR total_activity_value_vat_amt IS NULL);
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--
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-- Hinweis: Die Zeilenreihenfolge im Sheet ist die Erstauftretens-Reihenfolge
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-- (UNIQUE(FILTER(...))). Falls gewuenscht, statt "ORDER BY a.country_code"
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-- ein "MIN(id) AS first_seen" in der arrival-CTE ergaenzen und danach sortieren.
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-- ----------------------------------------------------------------------------
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