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TEXT,\n44\t -- Kopf / Preise\n45\t summe_einkaufspreis REAL,\n46\t summe_positionen_liste REAL,\n47\t summe_positionen REAL,\n48\t montage_zeit REAL,\n49\t montage_wert REAL,\n50\t fracht REAL,\n51\t rabatt_wert REAL,\n52\t rabatt_prozent REAL,\n53\t aufschlag_wert REAL,\n54\t aufschlag_prozent REAL,\n55\t kundenpreis_netto REAL,\n56\t aw_wert REAL,\n57\t re REAL,\n58\t ka REAL,\n59\t -- Fahrzeug (roh, durchgängig leer — Kandidat fürs Nachfüllen in der Veredelung)\n60\t fzg_hersteller_id TEXT,\n61\t fzg_typ TEXT,\n62\t fzg_baujahr TEXT,\n63\t fzg_dach TEXT,\n64\t fzg_antrieb TEXT,\n65\t fzg_leasing INTEGER,\n66\t fzg_rad_stand TEXT,\n67\t fzg_seitentuer TEXT,\n68\t fzg_wand TEXT\n69\t);\n70\t\n71\tCREATE TABLE module (\n72\t modul_id TEXT PRIMARY KEY,\n73\t klartext TEXT, -- Veredelung: lesbarer Name (aus PDF-Stückliste)\n74\t artikelnummer TEXT, -- Würth-Artikelnummer (aus PDF-Stückliste)\n75\t kategorie TEXT -- Veredelung: Boden / Regal / Befestigung / Montageset / ...\n76\t);\n77\t\n78\tCREATE TABLE positionen (\n79\t position_id INTEGER PRIMARY KEY,\n80\t auftrag_id TEXT NOT NULL REFERENCES auftraege(auftrag_id),\n81\t modul_id TEXT NOT NULL REFERENCES module(modul_id),\n82\t menge INTEGER, -- Summe der COMP-Mengen aus struktur_data_json\n83\t einkaufspreis REAL,\n84\t preis_liste REAL,\n85\t preis REAL,\n86\t rabatt_wert REAL,\n87\t rabatt_prozent REAL, -- abgeleitet: rabatt_wert / preis_liste\n88\t aufschlag_wert REAL,\n89\t aw_wert REAL,\n90\t typ TEXT,\n91\t UNIQUE (auftrag_id, modul_id)\n92\t);\n93\t\n94\t-- ---------------------------------------------------------------------------\n95\t-- Veredelungsschicht (Firmendaten aus dem Internet)\n96\t-- ---------------------------------------------------------------------------\n97\t\n98\t-- Roh-Cache je Web-Abruf: Anreicherung läuft einmal offline, Demo bleibt\n99\t-- deterministisch und ohne Netz; erneut ausführbar ohne neue Web-Calls.\n100\tCREATE TABLE web_cache (\n101\t cache_id INTEGER PRIMARY KEY,\n102\t query_name TEXT, -- Firmenname wie abgefragt\n103\t query_plz TEXT,\n104\t quelle TEXT, -- handelsregister | northdata | google_places | website | llm_web\n105\t abgerufen_am TEXT,\n106\t http_status INTEGER,\n107\t raw_json TEXT, -- unveränderte Antwort\n108\t UNIQUE (query_name, query_plz, quelle)\n109\t);\n110\t\n111\t-- Konsolidierte, veredelte Firma je Kunde (1:1 nach Merge der Quellen).\n112\tCREATE TABLE kunde_firmendaten (\n113\t kunde_id INTEGER PRIMARY KEY REFERENCES kunden(kunde_id),\n114\t branche_nace TEXT, -- normierter Code (NACE / WZ)\n115\t branche_text TEXT, -- Klartext\n116\t gewerk TEXT, -- Keymap (src/catalog.ts): Kfz / SHK/HLK / Bau-Dach / Elektro / Holz-Zimmerei / Fördertechnik / Industrie / Handel / öffentlich / Sonstige\n117\t segment TEXT, -- Handwerk | Industrie | Flotte | öffentlich\n118\t mitarbeiter_kl TEXT, -- Größenklasse statt exakter Zahl\n119\t umsatz_kl TEXT,\n120\t gruendungsjahr INTEGER,\n121\t rechtsform TEXT,\n122\t website TEXT,\n123\t geo_lat REAL,\n124\t geo_lon REAL,\n125\t ort TEXT,\n126\t bundesland TEXT,\n127\t hr_nummer TEXT, -- Handelsregister-Beleg für den Match\n128\t konfidenz REAL, -- 0..1\n129\t bestaetigt INTEGER, -- 1 = über Sitz/HR bestätigt, 0 = unbestätigt\n130\t quelle_primaer TEXT, -- welche Web-Quelle den Match getragen hat\n131\t veredelt_am TEXT\n132\t);\n133\t\n134\t-- Fahrzeug je Auftrag, aus den .plax-Rohtexten per LLM extrahiert (Veredelung).\n135\tCREATE TABLE auftrag_fzg (\n136\t auftrag_id TEXT PRIMARY KEY REFERENCES auftraege(auftrag_id),\n137\t fzg_klasse TEXT, -- van | pickup | pkw | lkw | unbekannt\n138\t hersteller TEXT,\n139\t modell TEXT,\n140\t groesse TEXT, -- L1H1 / L3H2 / MH1 ...\n141\t baujahr TEXT,\n142\t konfidenz REAL,\n143\t quelle TEXT, -- pdf | subject | interner_text | modulcode | keine\n144\t veredelt_am TEXT\n145\t);\n146\t\n147\tCREATE INDEX idx_positionen_modul ON positionen(modul_id);\n148\tCREATE INDEX idx_positionen_auftrag ON positionen(auftrag_id);\n149\tCREATE INDEX idx_auftraege_kunde ON auftraege(kunde_id);\n150\t\n151\t-- ---------------------------------------------------------------------------\n152\t-- Sicht: geliefert (links) vs. angereichert (rechts), eine Zeile je Kunde\n153\t-- ---------------------------------------------------------------------------\n154\tDROP VIEW IF EXISTS v_kunde_360;\n155\tCREATE VIEW v_kunde_360 AS\n156\tSELECT\n157\t k.kunde_id,\n158\t -- geliefert (Plato-Export)\n159\t k.name_roh,\n160\t k.name_1,\n161\t k.strasse,\n162\t k.plz,\n163\t k.landeskenner,\n164\t k.land,\n165\t COUNT(DISTINCT a.auftrag_id) AS n_auftraege,\n166\t SUM(a.kundenpreis_netto / COALESCE(a.wechselkurs, 1)) AS umsatz_netto, -- EUR-normiert\n167\t\n168\t -- angereichert (Web-Recherche)\n169\t f.branche_text,\n170\t f.branche_nace,\n171\t f.gewerk,\n172\t f.segment,\n173\t f.mitarbeiter_kl,\n174\t f.umsatz_kl,\n175\t f.gruendungsjahr,\n176\t f.rechtsform,\n177\t f.website,\n178\t f.ort,\n179\t f.bundesland,\n180\t f.hr_nummer,\n181\t f.konfidenz,\n182\t f.bestaetigt,\n183\t f.quelle_primaer\n184\tFROM kunden k\n185\tLEFT JOIN auftraege a USING (kunde_id)\n186\tLEFT JOIN kunde_firmendaten f USING (kunde_id)\n187\tGROUP BY k.kunde_id;\n188\t"}]},"uuid":"df6b80d0-108a-4715-8ebf-fafecbecc1d4","timestamp":"2026-07-06T08:18:21.865Z","toolUseResult":{"type":"text","file":{"filePath":"/home/marcuh/projects/08-07/pipeline/schema.sql","content":"-- Würth-KI-Demo — Datenmodell\n-- Schicht 2 (Arbeit): aus extracted_xml_data.json normalisiert.\n-- Schicht 3 (Veredelung): angereicherte Felder mit Quelle + Konfidenz, getrennt von den Rohwerten.\n-- Roh-JSON bleibt Single Source of Truth.\n\nPRAGMA foreign_keys = ON;\n\nDROP TABLE IF EXISTS positionen;\nDROP TABLE IF EXISTS auftraege;\nDROP TABLE IF EXISTS kunde_firmendaten;\nDROP TABLE IF EXISTS web_cache;\nDROP TABLE IF EXISTS module;\nDROP TABLE IF EXISTS kunden;\n\n-- ---------------------------------------------------------------------------\n-- Arbeitsschicht\n-- ---------------------------------------------------------------------------\n\nCREATE TABLE kunden (\n kunde_id INTEGER PRIMARY KEY,\n name_roh TEXT NOT NULL, -- Original kde_name (entity-decoded)\n name_norm TEXT NOT NULL, -- Dedup-Schlüssel: lower, Whitespace kollabiert\n name_1 TEXT,\n name_2 TEXT,\n strasse TEXT,\n plz TEXT,\n landeskenner TEXT, -- roh (NO / DE / Norway / Deutschland / leer)\n land TEXT, -- normiert (ISO-2)\n UNIQUE (name_norm, plz)\n);\n\nCREATE TABLE auftraege (\n auftrag_id TEXT PRIMARY KEY, -- export-Key\n kunde_id INTEGER NOT NULL REFERENCES kunden(kunde_id),\n bearbeiter TEXT, -- Kürzel aus dem Key\n datum TEXT, -- ISO-Datum aus dem Key\n quotation_state TEXT, -- order | offer\n montage_art TEXT,\n currency TEXT, -- roh aus JSON (unzuverlässig, stets EUR)\n waehrung TEXT, -- echte Landeswährung aus .plax (EUR / NOK / ...)\n wechselkurs REAL, -- Einheiten je EUR am kurs_datum (EUR = 1)\n kurs_datum TEXT, -- Handelstag des Kurses (ECB)\n wuerth_innen_landeskenner TEXT,\n -- Kopf / Preise\n summe_einkaufspreis REAL,\n summe_positionen_liste REAL,\n summe_positionen REAL,\n montage_zeit REAL,\n montage_wert REAL,\n fracht REAL,\n rabatt_wert REAL,\n rabatt_prozent REAL,\n aufschlag_wert REAL,\n aufschlag_prozent REAL,\n kundenpreis_netto REAL,\n aw_wert REAL,\n re REAL,\n ka REAL,\n -- Fahrzeug (roh, durchgängig leer — Kandidat fürs Nachfüllen in der Veredelung)\n fzg_hersteller_id TEXT,\n fzg_typ TEXT,\n fzg_baujahr TEXT,\n fzg_dach TEXT,\n fzg_antrieb TEXT,\n fzg_leasing INTEGER,\n fzg_rad_stand TEXT,\n fzg_seitentuer TEXT,\n fzg_wand TEXT\n);\n\nCREATE TABLE module (\n modul_id TEXT PRIMARY KEY,\n klartext TEXT, -- Veredelung: lesbarer Name (aus PDF-Stückliste)\n artikelnummer TEXT, -- Würth-Artikelnummer (aus PDF-Stückliste)\n kategorie TEXT -- Veredelung: Boden / Regal / Befestigung / Montageset / ...\n);\n\nCREATE TABLE positionen (\n position_id INTEGER PRIMARY KEY,\n auftrag_id TEXT NOT NULL REFERENCES auftraege(auftrag_id),\n modul_id TEXT NOT NULL REFERENCES module(modul_id),\n menge INTEGER, -- Summe der COMP-Mengen aus struktur_data_json\n einkaufspreis REAL,\n preis_liste REAL,\n preis REAL,\n rabatt_wert REAL,\n rabatt_prozent REAL, -- abgeleitet: rabatt_wert / preis_liste\n aufschlag_wert REAL,\n aw_wert REAL,\n typ TEXT,\n UNIQUE (auftrag_id, modul_id)\n);\n\n-- ---------------------------------------------------------------------------\n-- Veredelungsschicht (Firmendaten aus dem Internet)\n-- ---------------------------------------------------------------------------\n\n-- Roh-Cache je Web-Abruf: Anreicherung läuft einmal offline, Demo bleibt\n-- deterministisch und ohne Netz; erneut ausführbar ohne neue Web-Calls.\nCREATE TABLE web_cache (\n cache_id INTEGER PRIMARY KEY,\n query_name TEXT, -- Firmenname wie abgefragt\n query_plz TEXT,\n quelle TEXT, -- handelsregister | northdata | google_places | website | llm_web\n abgerufen_am TEXT,\n http_status INTEGER,\n raw_json TEXT, -- unveränderte Antwort\n UNIQUE (query_name, query_plz, quelle)\n);\n\n-- Konsolidierte, veredelte Firma je Kunde (1:1 nach Merge der Quellen).\nCREATE TABLE kunde_firmendaten (\n kunde_id INTEGER PRIMARY KEY REFERENCES kunden(kunde_id),\n branche_nace TEXT, -- normierter Code (NACE / WZ)\n branche_text TEXT, -- Klartext\n gewerk TEXT, -- Keymap (src/catalog.ts): Kfz / SHK/HLK / Bau-Dach / Elektro / Holz-Zimmerei / Fördertechnik / Industrie / Handel / öffentlich / Sonstige\n segment TEXT, -- Handwerk | Industrie | Flotte | öffentlich\n mitarbeiter_kl TEXT, -- Größenklasse statt exakter Zahl\n umsatz_kl TEXT,\n gruendungsjahr INTEGER,\n rechtsform TEXT,\n website TEXT,\n geo_lat REAL,\n geo_lon REAL,\n ort TEXT,\n bundesland TEXT,\n hr_nummer TEXT, -- Handelsregister-Beleg für den Match\n konfidenz REAL, -- 0..1\n bestaetigt INTEGER, -- 1 = über Sitz/HR bestätigt, 0 = unbestätigt\n quelle_primaer TEXT, -- welche Web-Quelle den Match getragen hat\n veredelt_am TEXT\n);\n\n-- Fahrzeug je Auftrag, aus den .plax-Rohtexten per LLM extrahiert (Veredelung).\nCREATE TABLE auftrag_fzg (\n auftrag_id TEXT PRIMARY KEY REFERENCES auftraege(auftrag_id),\n fzg_klasse TEXT, -- van | pickup | pkw | lkw | unbekannt\n hersteller TEXT,\n modell TEXT,\n groesse TEXT, -- L1H1 / L3H2 / MH1 ...\n baujahr TEXT,\n konfidenz REAL,\n quelle TEXT, -- pdf | subject | interner_text | modulcode | keine\n veredelt_am TEXT\n);\n\nCREATE INDEX idx_positionen_modul ON positionen(modul_id);\nCREATE INDEX idx_positionen_auftrag ON positionen(auftrag_id);\nCREATE INDEX idx_auftraege_kunde ON auftraege(kunde_id);\n\n-- ---------------------------------------------------------------------------\n-- Sicht: geliefert (links) vs. angereichert (rechts), eine Zeile je Kunde\n-- ---------------------------------------------------------------------------\nDROP VIEW IF EXISTS v_kunde_360;\nCREATE VIEW v_kunde_360 AS\nSELECT\n k.kunde_id,\n -- geliefert (Plato-Export)\n k.name_roh,\n k.name_1,\n k.strasse,\n k.plz,\n k.landeskenner,\n k.land,\n COUNT(DISTINCT a.auftrag_id) AS n_auftraege,\n SUM(a.kundenpreis_netto / COALESCE(a.wechselkurs, 1)) AS umsatz_netto, -- EUR-normiert\n\n -- angereichert (Web-Recherche)\n f.branche_text,\n f.branche_nace,\n f.gewerk,\n f.segment,\n f.mitarbeiter_kl,\n f.umsatz_kl,\n f.gruendungsjahr,\n f.rechtsform,\n f.website,\n f.ort,\n f.bundesland,\n f.hr_nummer,\n f.konfidenz,\n f.bestaetigt,\n f.quelle_primaer\nFROM kunden k\nLEFT JOIN auftraege a USING (kunde_id)\nLEFT JOIN kunde_firmendaten f USING (kunde_id)\nGROUP BY k.kunde_id;\n","numLines":188,"startLine":1,"totalLines":188}},"sourceToolAssistantUUID":"725f6dd1-f878-4129-b264-fee60cdaa066","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"93d60486-1ea1-4faa-9118-7458b0d73953","isSidechain":false,"promptId":"a4dc4d46-b486-4397-adf2-5fcdd9841729","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DTdpuKraxaHfAMjZh61VFi","type":"tool_result","content":"1\tuse rusqlite::Connection;\n2\tuse serde::Serialize;\n3\t\n4\tconst DB_PATH: &str = concat!(env!(\"CARGO_MANIFEST_DIR\"), \"/../data/wuerth.db\");\n5\t\n6\t#[derive(Serialize)]\n7\tstruct Kunde360 {\n8\t kunde_id: i64,\n9\t // geliefert\n10\t name_roh: String,\n11\t name_1: Option,\n12\t strasse: Option,\n13\t plz: Option,\n14\t land: Option,\n15\t n_auftraege: i64,\n16\t umsatz_netto: f64,\n17\t // angereichert\n18\t branche_text: Option,\n19\t gewerk: Option,\n20\t segment: Option,\n21\t mitarbeiter_kl: Option,\n22\t gruendungsjahr: Option,\n23\t rechtsform: Option,\n24\t website: Option,\n25\t ort: Option,\n26\t konfidenz: Option,\n27\t bestaetigt: Option,\n28\t quelle_primaer: Option,\n29\t}\n30\t\n31\t#[tauri::command]\n32\tfn list_kunden_360() -> Result, String> {\n33\t let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n34\t let mut stmt = con\n35\t .prepare(\n36\t \"SELECT kunde_id, name_roh, name_1, strasse, plz, land, n_auftraege, \\\n37\t umsatz_netto, branche_text, gewerk, segment, mitarbeiter_kl, gruendungsjahr, \\\n38\t rechtsform, website, ort, konfidenz, bestaetigt, quelle_primaer \\\n39\t FROM v_kunde_360 ORDER BY name_roh\",\n40\t )\n41\t .map_err(|e| e.to_string())?;\n42\t let rows = stmt\n43\t .query_map([], |r| {\n44\t Ok(Kunde360 {\n45\t kunde_id: r.get(0)?,\n46\t name_roh: r.get(1)?,\n47\t name_1: r.get(2)?,\n48\t strasse: r.get(3)?,\n49\t plz: r.get(4)?,\n50\t land: r.get(5)?,\n51\t n_auftraege: r.get(6)?,\n52\t umsatz_netto: r.get(7)?,\n53\t branche_text: r.get(8)?,\n54\t gewerk: r.get(9)?,\n55\t segment: r.get(10)?,\n56\t mitarbeiter_kl: r.get(11)?,\n57\t gruendungsjahr: r.get(12)?,\n58\t rechtsform: r.get(13)?,\n59\t website: r.get(14)?,\n60\t ort: r.get(15)?,\n61\t konfidenz: r.get(16)?,\n62\t bestaetigt: r.get(17)?,\n63\t quelle_primaer: r.get(18)?,\n64\t })\n65\t })\n66\t .map_err(|e| e.to_string())?;\n67\t let mut out = Vec::new();\n68\t for row in rows {\n69\t out.push(row.map_err(|e| e.to_string())?);\n70\t }\n71\t Ok(out)\n72\t}\n73\t\n74\t#[derive(Serialize)]\n75\tstruct Auftrag {\n76\t kunde_id: i64,\n77\t auftrag_id: String,\n78\t datum: Option,\n79\t fzg_klasse: Option,\n80\t fzg_hersteller: Option,\n81\t fzg_modell: Option,\n82\t fzg_groesse: Option,\n83\t umsatz_netto: f64, // Landeswährung\n84\t umsatz_eur: f64, // umgerechnet\n85\t waehrung: Option,\n86\t wechselkurs: Option,\n87\t kurs_datum: Option,\n88\t quotation_state: Option,\n89\t}\n90\t\n91\t#[tauri::command]\n92\tfn list_auftraege() -> Result, String> {\n93\t let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n94\t let mut stmt = con\n95\t .prepare(\n96\t \"SELECT a.kunde_id, a.auftrag_id, a.datum, f.fzg_klasse, f.hersteller, \\\n97\t f.modell, f.groesse, a.kundenpreis_netto, \\\n98\t a.kundenpreis_netto / COALESCE(a.wechselkurs, 1) AS umsatz_eur, \\\n99\t a.waehrung, a.wechselkurs, a.kurs_datum, a.quotation_state \\\n100\t FROM auftraege a LEFT JOIN auftrag_fzg f USING (auftrag_id) \\\n101\t ORDER BY a.datum DESC\",\n102\t )\n103\t .map_err(|e| e.to_string())?;\n104\t let rows = stmt\n105\t .query_map([], |r| {\n106\t Ok(Auftrag {\n107\t kunde_id: r.get(0)?,\n108\t auftrag_id: r.get(1)?,\n109\t datum: r.get(2)?,\n110\t fzg_klasse: r.get(3)?,\n111\t fzg_hersteller: r.get(4)?,\n112\t fzg_modell: r.get(5)?,\n113\t fzg_groesse: r.get(6)?,\n114\t umsatz_netto: r.get(7)?,\n115\t umsatz_eur: r.get(8)?,\n116\t waehrung: r.get(9)?,\n117\t wechselkurs: r.get(10)?,\n118\t kurs_datum: r.get(11)?,\n119\t quotation_state: r.get(12)?,\n120\t })\n121\t })\n122\t .map_err(|e| e.to_string())?;\n123\t let mut out = Vec::new();\n124\t for row in rows {\n125\t out.push(row.map_err(|e| e.to_string())?);\n126\t }\n127\t Ok(out)\n128\t}\n129\t\n130\t#[derive(Serialize)]\n131\tstruct Position {\n132\t modul_id: String,\n133\t artikelnummer: Option,\n134\t klartext: String,\n135\t menge: i64,\n136\t einzelpreis: f64,\n137\t pos_wert: f64,\n138\t eur_wert: f64,\n139\t}\n140\t\n141\t#[tauri::command]\n142\tfn list_positionen(auftrag_id: String) -> Result, String> {\n143\t let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n144\t let mut stmt = con\n145\t .prepare(\n146\t \"SELECT p.modul_id, m.artikelnummer, COALESCE(m.klartext, p.modul_id), \\\n147\t COALESCE(p.menge, 1), p.preis, p.preis * COALESCE(p.menge, 1) AS pos_wert, \\\n148\t p.preis * COALESCE(p.menge, 1) / COALESCE(a.wechselkurs, 1) AS eur_wert \\\n149\t FROM positionen p LEFT JOIN module m USING (modul_id) \\\n150\t JOIN auftraege a ON a.auftrag_id = p.auftrag_id \\\n151\t WHERE p.auftrag_id = ?1 ORDER BY pos_wert DESC\",\n152\t )\n153\t .map_err(|e| e.to_string())?;\n154\t let rows = stmt\n155\t .query_map([auftrag_id], |r| {\n156\t Ok(Position {\n157\t modul_id: r.get(0)?,\n158\t artikelnummer: r.get(1)?,\n159\t klartext: r.get(2)?,\n160\t menge: r.get(3)?,\n161\t einzelpreis: r.get(4)?,\n162\t pos_wert: r.get(5)?,\n163\t eur_wert: r.get(6)?,\n164\t })\n165\t })\n166\t .map_err(|e| e.to_string())?;\n167\t let mut out = Vec::new();\n168\t for row in rows {\n169\t out.push(row.map_err(|e| e.to_string())?);\n170\t }\n171\t Ok(out)\n172\t}\n173\t\n174\t// ---------------------------------------------------------------------------\n175\t// Natursprache-Assistent: Frage -> Claude erzeugt read-only SQL + Chart-Spec\n176\t// -> Rust prüft (nur SELECT) und führt aus -> Frontend rendert.\n177\t// ---------------------------------------------------------------------------\n178\t\n179\t#[derive(Serialize)]\n180\tstruct AiAntwort {\n181\t frage: String,\n182\t sql: String,\n183\t chart: String, // kpi | bar | table\n184\t label: Option, // Spaltenname für Kategorie\n185\t value: Option, // Spaltenname für Wert\n186\t titel: String,\n187\t erklaerung: String,\n188\t columns: Vec,\n189\t rows: Vec>,\n190\t}\n191\t\n192\tfn read_api_key() -> Result {\n193\t let home = std::env::var(\"HOME\").map_err(|_| \"HOME nicht gesetzt\".to_string())?;\n194\t let path = format!(\"{home}/.ssh/anthropic_api_key\");\n195\t let content =\n196\t std::fs::read_to_string(&path).map_err(|e| format!(\"Key-Datei {path}: {e}\"))?;\n197\t content\n198\t .lines()\n199\t .map(|l| l.trim())\n200\t .find(|l| l.starts_with(\"sk-ant-\"))\n201\t .map(|s| s.to_string())\n202\t .ok_or_else(|| format!(\"kein sk-ant-Key in {path}\"))\n203\t}\n204\t\n205\tfn db_schema(con: &Connection) -> Result {\n206\t let mut stmt = con\n207\t .prepare(\n208\t \"SELECT sql FROM sqlite_master \\\n209\t WHERE type IN ('table','view') AND sql IS NOT NULL \\\n210\t AND name NOT LIKE 'sqlite_%' ORDER BY type DESC, name\",\n211\t )\n212\t .map_err(|e| e.to_string())?;\n213\t let rows = stmt\n214\t .query_map([], |r| r.get::<_, String>(0))\n215\t .map_err(|e| e.to_string())?;\n216\t let mut out = String::new();\n217\t for r in rows {\n218\t out.push_str(&r.map_err(|e| e.to_string())?);\n219\t out.push_str(\";\\n\");\n220\t }\n221\t Ok(out)\n222\t}\n223\t\n224\tfn is_read_only(sql: &str) -> bool {\n225\t let up = sql.trim().to_uppercase();\n226\t if !(up.starts_with(\"SELECT\") || up.starts_with(\"WITH\")) {\n227\t return false;\n228\t }\n229\t // kein Statement-Trenner (nur SELECT), keine schreibenden Schlüsselwörter\n230\t if sql.trim_end().trim_end_matches(';').contains(';') {\n231\t return false;\n232\t }\n233\t const VERBOTEN: [&str; 9] = [\n234\t \"INSERT \", \"UPDATE \", \"DELETE \", \"DROP \", \"ALTER \", \"CREATE \", \"ATTACH \",\n235\t \"PRAGMA \", \"REPLACE \",\n236\t ];\n237\t !VERBOTEN.iter().any(|w| up.contains(w))\n238\t}\n239\t\n240\tfn cell_to_json(v: rusqlite::types::ValueRef) -> serde_json::Value {\n241\t use rusqlite::types::ValueRef;\n242\t match v {\n243\t ValueRef::Null => serde_json::Value::Null,\n244\t ValueRef::Integer(n) => serde_json::Value::from(n),\n245\t ValueRef::Real(f) => serde_json::Value::from(f),\n246\t ValueRef::Text(t) => serde_json::Value::from(String::from_utf8_lossy(t).to_string()),\n247\t ValueRef::Blob(_) => serde_json::Value::from(\"\"),\n248\t }\n249\t}\n250\t\n251\tconst SYSTEM_TMPL: &str = \"Du übersetzt deutsche Fragen in **eine** SQLite-Abfrage über die \\\n252\tfolgende Datenbank und wählst die beste Visualisierung. Antworte AUSSCHLIESSLICH mit einem \\\n253\tJSON-Objekt, keine Erklärung davor/danach, keine Markdown-Zäune.\\n\\n\\\n254\tSchema:\\n{SCHEMA}\\n\\\n255\tHinweise:\\n\\\n256\t- Nur eine read-only SELECT-Abfrage (ggf. mit WITH). Kein Semikolon, kein INSERT/UPDATE/DELETE/DDL.\\n\\\n257\t- Beträge liegen in Landeswährung; EUR = Betrag / COALESCE(wechselkurs,1). auftraege.kundenpreis_netto ist der Auftragswert.\\n\\\n258\t- v_kunde_360.umsatz_netto ist bereits EUR-normiert. gewerk/land/segment kommen aus der Anreicherung.\\n\\\n259\t- Kunden-Anzeigename ist kunden.name_roh (bzw. v_kunde_360.name_roh), NICHT name_1.\\n\\\n260\t- Für Rankings/Vergleiche LIMIT setzen (z.B. 10). Spaltennamen sprechend aliasen.\\n\\n\\\n261\tJSON-Format:\\n\\\n262\t{\\\"sql\\\": \\\"