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Triggers on: \"chart\", \"graph\", \"plot\", \"data viz\", \"visualization\", \"dashboard\", \"analytics\", \"visualize data\", \"categorical colors\", \"sequential / diverging palette\", \"stat tile\", \"sparkline\", \"heatmap\", \"legend\", \"axis\", \"tooltip\", \"chart colors\", \"color by series\".\n- artifact-design: Design guidance and fundamentals for Artifacts.\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- verify: Verify that a code change actually does what it's supposed to by exercising it end-to-end and observing behavior — drive the affected flow, not just tests or typecheck. Run before committing nontrivial changes; bootstraps this repo's project verify skill if none exists yet. Don't invoke it on a diff that only touches tests, docs, or other code with no runtime surface to drive (a change to product source always has one) — there's nothing to observe.\n- code-review: Review the current diff for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings; ultra: deep multi-agent review in the cloud). Pass --comment to post findings as inline PR comments, or --fix to apply the findings to the working tree after the review.\n- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. 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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":"/Users/marcus.hinz/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":"/Users/marcus.hinz/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<String>,\n12\t strasse: Option<String>,\n13\t plz: Option<String>,\n14\t land: Option<String>,\n15\t n_auftraege: i64,\n16\t umsatz_netto: f64,\n17\t // angereichert\n18\t branche_text: Option<String>,\n19\t gewerk: Option<String>,\n20\t segment: Option<String>,\n21\t mitarbeiter_kl: Option<String>,\n22\t gruendungsjahr: Option<i64>,\n23\t rechtsform: Option<String>,\n24\t website: Option<String>,\n25\t ort: Option<String>,\n26\t konfidenz: Option<f64>,\n27\t bestaetigt: Option<i64>,\n28\t quelle_primaer: Option<String>,\n29\t}\n30\t\n31\t#[tauri::command]\n32\tfn list_kunden_360() -> Result<Vec<Kunde360>, 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<String>,\n79\t fzg_klasse: Option<String>,\n80\t fzg_hersteller: Option<String>,\n81\t fzg_modell: Option<String>,\n82\t fzg_groesse: Option<String>,\n83\t umsatz_netto: f64, // Landeswährung\n84\t umsatz_eur: f64, // umgerechnet\n85\t waehrung: Option<String>,\n86\t wechselkurs: Option<f64>,\n87\t kurs_datum: Option<String>,\n88\t quotation_state: Option<String>,\n89\t}\n90\t\n91\t#[tauri::command]\n92\tfn list_auftraege() -> Result<Vec<Auftrag>, 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<String>,\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<Vec<Position>, 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<String>, // Spaltenname für Kategorie\n185\t value: Option<String>, // Spaltenname für Wert\n186\t titel: String,\n187\t erklaerung: String,\n188\t columns: Vec<String>,\n189\t rows: Vec<Vec<serde_json::Value>>,\n190\t}\n191\t\n192\tfn read_api_key() -> Result<String, String> {\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<String, String> {\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(\"<blob>\"),\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\\\": \\\"<SELECT ...>\\\", \\\"chart\\\": \\\"kpi|bar|table\\\", \\\"label\\\": \\\"<Spalte für Kategorie oder null>\\\", \\\n263\t\\\"value\\\": \\\"<Spalte für Wert oder null>\\\", \\\"titel\\\": \\\"<kurzer Titel>\\\", \\\"erklaerung\\\": \\\"<1 Satz>\\\"}\\n\\\n264\t- chart=kpi: eine Kennzahl (value = die Wertspalte). chart=bar: label + value. chart=table: sonst.\";\n265\t\n266\tfn frage_ai_inner(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {\n267\t let key = read_api_key()?;\n268\t let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n269\t let schema = db_schema(&con)?;\n270\t let system = SYSTEM_TMPL.replace(\"{SCHEMA}\", &schema);\n271\t\n272\t // Modell auf erlaubte Werte begrenzen\n273\t let modell = match modell.as_str() {\n274\t \"claude-opus-4-8\" | \"claude-sonnet-5\" | \"claude-haiku-4-5\" => modell,\n275\t _ => \"claude-sonnet-5\".to_string(),\n276\t };\n277\t // Thinking-Konfiguration je Modell; bei Thinking mehr Output-Budget\n278\t let (thinking_cfg, max_tokens) = if !thinking {\n279\t (serde_json::json!({\"type\": \"disabled\"}), 1024)\n280\t } else if modell.starts_with(\"claude-haiku\") {\n281\t (serde_json::json!({\"type\": \"enabled\", \"budget_tokens\": 2000}), 4096)\n282\t } else {\n283\t (serde_json::json!({\"type\": \"adaptive\"}), 4096)\n284\t };\n285\t\n286\t let body = serde_json::json!({\n287\t \"model\": modell,\n288\t \"max_tokens\": max_tokens,\n289\t \"thinking\": thinking_cfg,\n290\t \"system\": system,\n291\t \"messages\": [{\"role\": \"user\", \"content\": frage}]\n292\t });\n293\t\n294\t let client = reqwest::blocking::Client::builder()\n295\t .timeout(std::time::Duration::from_secs(60))\n296\t .build()\n297\t .map_err(|e| e.to_string())?;\n298\t let resp = client\n299\t .post(\"https://api.anthropic.com/v1/messages\")\n300\t .header(\"x-api-key\", key)\n301\t .header(\"anthropic-version\", \"2023-06-01\")\n302\t .header(\"content-type\", \"application/json\")\n303\t .json(&body)\n304\t .send()\n305\t .map_err(|e| format!(\"API-Aufruf fehlgeschlagen: {e}\"))?;\n306\t\n307\t let status = resp.status();\n308\t let json: serde_json::Value = resp.json().map_err(|e| e.to_string())?;\n309\t if !status.is_success() {\n310\t return Err(format!(\"API {status}: {}\", json));\n311\t }\n312\t // Im Thinking-Modus steht ein thinking-Block vor dem text-Block -> gezielt den text-Block nehmen\n313\t let text = json[\"content\"]\n314\t .as_array()\n315\t .and_then(|blocks| {\n316\t blocks\n317\t .iter()\n318\t .find(|b| b[\"type\"] == \"text\")\n319\t .and_then(|b| b[\"text\"].as_str())\n320\t })\n321\t .ok_or_else(|| format!(\"kein Text in API-Antwort: {json}\"))?;\n322\t\n323\t // JSON-Objekt aus dem Text herausschneiden (erstes { bis letztes })\n324\t let start = text.find('{').ok_or(\"kein JSON in der Antwort\")?;\n325\t let end = text.rfind('}').ok_or(\"kein JSON in der Antwort\")?;\n326\t let spec: serde_json::Value =\n327\t serde_json::from_str(&text[start..=end]).map_err(|e| format!(\"JSON-Parse: {e}\"))?;\n328\t\n329\t let sql = spec[\"sql\"].as_str().unwrap_or(\"\").trim().to_string();\n330\t if !is_read_only(&sql) {\n331\t return Err(format!(\"Abfrage abgelehnt (nicht read-only): {sql}\"));\n332\t }\n333\t let chart = spec[\"chart\"].as_str().unwrap_or(\"table\").to_string();\n334\t let label = spec[\"label\"].as_str().map(|s| s.to_string());\n335\t let value = spec[\"value\"].as_str().map(|s| s.to_string());\n336\t let titel = spec[\"titel\"].as_str().unwrap_or(\"\").to_string();\n337\t let erklaerung = spec[\"erklaerung\"].as_str().unwrap_or(\"\").to_string();\n338\t\n339\t let mut stmt = con.prepare(&sql).map_err(|e| format!(\"SQL-Fehler: {e}\"))?;\n340\t let columns: Vec<String> = stmt.column_names().iter().map(|s| s.to_string()).collect();\n341\t let ncol = columns.len();\n342\t let rows_iter = stmt\n343\t .query_map([], |r| {\n344\t let mut row = Vec::with_capacity(ncol);\n345\t for i in 0..ncol {\n346\t row.push(cell_to_json(r.get_ref(i)?));\n347\t }\n348\t Ok(row)\n349\t })\n350\t .map_err(|e| e.to_string())?;\n351\t let mut rows = Vec::new();\n352\t for r in rows_iter {\n353\t rows.push(r.map_err(|e| e.to_string())?);\n354\t }\n355\t\n356\t Ok(AiAntwort {\n357\t frage,\n358\t sql,\n359\t chart,\n360\t label,\n361\t value,\n362\t titel,\n363\t erklaerung,\n364\t columns,\n365\t rows,\n366\t })\n367\t}\n368\t\n369\t#[tauri::command]\n370\tasync fn frage_ai(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {\n371\t tauri::async_runtime::spawn_blocking(move || frage_ai_inner(frage, modell, thinking))\n372\t .await\n373\t .map_err(|e| e.to_string())?\n374\t}\n375\t\n376\t#[cfg_attr(mobile, tauri::mobile_entry_point)]\n377\tpub fn run() {\n378\t tauri::Builder::default()\n379\t .plugin(tauri_plugin_opener::init())\n380\t .invoke_handler(tauri::generate_handler![\n381\t list_kunden_360,\n382\t list_auftraege,\n383\t list_positionen,\n384\t frage_ai\n385\t ])\n386\t .run(tauri::generate_context!())\n387\t .expect(\"error while running tauri application\");\n388\t}\n389\t"}]},"uuid":"b88b284e-5310-4810-a990-535631eab062","timestamp":"2026-07-06T08:18:23.232Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/marcus.hinz/projects/08-07/src-tauri/src/lib.rs","content":"use rusqlite::Connection;\nuse serde::Serialize;\n\nconst DB_PATH: &str = concat!(env!(\"CARGO_MANIFEST_DIR\"), \"/../data/wuerth.db\");\n\n#[derive(Serialize)]\nstruct Kunde360 {\n kunde_id: i64,\n // geliefert\n name_roh: String,\n name_1: Option<String>,\n strasse: Option<String>,\n plz: Option<String>,\n land: Option<String>,\n n_auftraege: i64,\n umsatz_netto: f64,\n // angereichert\n branche_text: Option<String>,\n gewerk: Option<String>,\n segment: Option<String>,\n mitarbeiter_kl: Option<String>,\n gruendungsjahr: Option<i64>,\n rechtsform: Option<String>,\n website: Option<String>,\n ort: Option<String>,\n konfidenz: Option<f64>,\n bestaetigt: Option<i64>,\n quelle_primaer: Option<String>,\n}\n\n#[tauri::command]\nfn list_kunden_360() -> Result<Vec<Kunde360>, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let mut stmt = con\n .prepare(\n \"SELECT kunde_id, name_roh, name_1, strasse, plz, land, n_auftraege, \\\n umsatz_netto, branche_text, gewerk, segment, mitarbeiter_kl, gruendungsjahr, \\\n rechtsform, website, ort, konfidenz, bestaetigt, quelle_primaer \\\n FROM v_kunde_360 ORDER BY name_roh\",\n )\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map([], |r| {\n Ok(Kunde360 {\n kunde_id: r.get(0)?,\n name_roh: r.get(1)?,\n name_1: r.get(2)?,\n strasse: r.get(3)?,\n plz: r.get(4)?,\n land: r.get(5)?,\n n_auftraege: r.get(6)?,\n umsatz_netto: r.get(7)?,\n branche_text: r.get(8)?,\n gewerk: r.get(9)?,\n segment: r.get(10)?,\n mitarbeiter_kl: r.get(11)?,\n gruendungsjahr: r.get(12)?,\n rechtsform: r.get(13)?,\n website: r.get(14)?,\n ort: r.get(15)?,\n konfidenz: r.get(16)?,\n bestaetigt: r.get(17)?,\n quelle_primaer: r.get(18)?,\n })\n })\n .map_err(|e| e.to_string())?;\n let mut out = Vec::new();\n for row in rows {\n out.push(row.map_err(|e| e.to_string())?);\n }\n Ok(out)\n}\n\n#[derive(Serialize)]\nstruct Auftrag {\n kunde_id: i64,\n auftrag_id: String,\n datum: Option<String>,\n fzg_klasse: Option<String>,\n fzg_hersteller: Option<String>,\n fzg_modell: Option<String>,\n fzg_groesse: Option<String>,\n umsatz_netto: f64, // Landeswährung\n umsatz_eur: f64, // umgerechnet\n waehrung: Option<String>,\n wechselkurs: Option<f64>,\n kurs_datum: Option<String>,\n quotation_state: Option<String>,\n}\n\n#[tauri::command]\nfn list_auftraege() -> Result<Vec<Auftrag>, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let mut stmt = con\n .prepare(\n \"SELECT a.kunde_id, a.auftrag_id, a.datum, f.fzg_klasse, f.hersteller, \\\n f.modell, f.groesse, a.kundenpreis_netto, \\\n a.kundenpreis_netto / COALESCE(a.wechselkurs, 1) AS umsatz_eur, \\\n a.waehrung, a.wechselkurs, a.kurs_datum, a.quotation_state \\\n FROM auftraege a LEFT JOIN auftrag_fzg f USING (auftrag_id) \\\n ORDER BY a.datum DESC\",\n )\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map([], |r| {\n Ok(Auftrag {\n kunde_id: r.get(0)?,\n auftrag_id: r.get(1)?,\n datum: r.get(2)?,\n fzg_klasse: r.get(3)?,\n fzg_hersteller: r.get(4)?,\n fzg_modell: r.get(5)?,\n fzg_groesse: r.get(6)?,\n umsatz_netto: r.get(7)?,\n umsatz_eur: r.get(8)?,\n waehrung: r.get(9)?,\n wechselkurs: r.get(10)?,\n kurs_datum: r.get(11)?,\n quotation_state: r.get(12)?,\n })\n })\n .map_err(|e| e.to_string())?;\n let mut out = Vec::new();\n for row in rows {\n out.push(row.map_err(|e| e.to_string())?);\n }\n Ok(out)\n}\n\n#[derive(Serialize)]\nstruct Position {\n modul_id: String,\n artikelnummer: Option<String>,\n klartext: String,\n menge: i64,\n einzelpreis: f64,\n pos_wert: f64,\n eur_wert: f64,\n}\n\n#[tauri::command]\nfn list_positionen(auftrag_id: String) -> Result<Vec<Position>, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let mut stmt = con\n .prepare(\n \"SELECT p.modul_id, m.artikelnummer, COALESCE(m.klartext, p.modul_id), \\\n COALESCE(p.menge, 1), p.preis, p.preis * COALESCE(p.menge, 1) AS pos_wert, \\\n p.preis * COALESCE(p.menge, 1) / COALESCE(a.wechselkurs, 1) AS eur_wert \\\n FROM positionen p LEFT JOIN module m USING (modul_id) \\\n JOIN auftraege a ON a.auftrag_id = p.auftrag_id \\\n WHERE p.auftrag_id = ?1 ORDER BY pos_wert DESC\",\n )\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map([auftrag_id], |r| {\n Ok(Position {\n modul_id: r.get(0)?,\n artikelnummer: r.get(1)?,\n klartext: r.get(2)?,\n menge: r.get(3)?,\n einzelpreis: r.get(4)?,\n pos_wert: r.get(5)?,\n eur_wert: r.get(6)?,\n })\n })\n .map_err(|e| e.to_string())?;\n let mut out = Vec::new();\n for row in rows {\n out.push(row.map_err(|e| e.to_string())?);\n }\n Ok(out)\n}\n\n// ---------------------------------------------------------------------------\n// Natursprache-Assistent: Frage -> Claude erzeugt read-only SQL + Chart-Spec\n// -> Rust prüft (nur SELECT) und führt aus -> Frontend rendert.\n// ---------------------------------------------------------------------------\n\n#[derive(Serialize)]\nstruct AiAntwort {\n frage: String,\n sql: String,\n chart: String, // kpi | bar | table\n label: Option<String>, // Spaltenname für Kategorie\n value: Option<String>, // Spaltenname für Wert\n titel: String,\n erklaerung: String,\n columns: Vec<String>,\n rows: Vec<Vec<serde_json::Value>>,\n}\n\nfn read_api_key() -> Result<String, String> {\n let home = std::env::var(\"HOME\").map_err(|_| \"HOME nicht gesetzt\".to_string())?;\n let path = format!(\"{home}/.ssh/anthropic_api_key\");\n let content =\n std::fs::read_to_string(&path).map_err(|e| format!(\"Key-Datei {path}: {e}\"))?;\n content\n .lines()\n .map(|l| l.trim())\n .find(|l| l.starts_with(\"sk-ant-\"))\n .map(|s| s.to_string())\n .ok_or_else(|| format!(\"kein sk-ant-Key in {path}\"))\n}\n\nfn db_schema(con: &Connection) -> Result<String, String> {\n let mut stmt = con\n .prepare(\n \"SELECT sql FROM sqlite_master \\\n WHERE type IN ('table','view') AND sql IS NOT NULL \\\n AND name NOT LIKE 'sqlite_%' ORDER BY type DESC, name\",\n )\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map([], |r| r.get::<_, String>(0))\n .map_err(|e| e.to_string())?;\n let mut out = String::new();\n for r in rows {\n out.push_str(&r.map_err(|e| e.to_string())?);\n out.push_str(\";\\n\");\n }\n Ok(out)\n}\n\nfn is_read_only(sql: &str) -> bool {\n let up = sql.trim().to_uppercase();\n if !(up.starts_with(\"SELECT\") || up.starts_with(\"WITH\")) {\n return false;\n }\n // kein Statement-Trenner (nur SELECT), keine schreibenden Schlüsselwörter\n if sql.trim_end().trim_end_matches(';').contains(';') {\n return false;\n }\n const VERBOTEN: [&str; 9] = [\n \"INSERT \", \"UPDATE \", \"DELETE \", \"DROP \", \"ALTER \", \"CREATE \", \"ATTACH \",\n \"PRAGMA \", \"REPLACE \",\n ];\n !VERBOTEN.iter().any(|w| up.contains(w))\n}\n\nfn cell_to_json(v: rusqlite::types::ValueRef) -> serde_json::Value {\n use rusqlite::types::ValueRef;\n match v {\n ValueRef::Null => serde_json::Value::Null,\n ValueRef::Integer(n) => serde_json::Value::from(n),\n ValueRef::Real(f) => serde_json::Value::from(f),\n ValueRef::Text(t) => serde_json::Value::from(String::from_utf8_lossy(t).to_string()),\n ValueRef::Blob(_) => serde_json::Value::from(\"<blob>\"),\n }\n}\n\nconst SYSTEM_TMPL: &str = \"Du übersetzt deutsche Fragen in **eine** SQLite-Abfrage über die \\\nfolgende Datenbank und wählst die beste Visualisierung. Antworte AUSSCHLIESSLICH mit einem \\\nJSON-Objekt, keine Erklärung davor/danach, keine Markdown-Zäune.\\n\\n\\\nSchema:\\n{SCHEMA}\\n\\\nHinweise:\\n\\\n- Nur eine read-only SELECT-Abfrage (ggf. mit WITH). Kein Semikolon, kein INSERT/UPDATE/DELETE/DDL.\\n\\\n- Beträge liegen in Landeswährung; EUR = Betrag / COALESCE(wechselkurs,1). auftraege.kundenpreis_netto ist der Auftragswert.\\n\\\n- v_kunde_360.umsatz_netto ist bereits EUR-normiert. gewerk/land/segment kommen aus der Anreicherung.\\n\\\n- Kunden-Anzeigename ist kunden.name_roh (bzw. v_kunde_360.name_roh), NICHT name_1.\\n\\\n- Für Rankings/Vergleiche LIMIT setzen (z.B. 10). Spaltennamen sprechend aliasen.\\n\\n\\\nJSON-Format:\\n\\\n{\\\"sql\\\": \\\"<SELECT ...>\\\", \\\"chart\\\": \\\"kpi|bar|table\\\", \\\"label\\\": \\\"<Spalte für Kategorie oder null>\\\", \\\n\\\"value\\\": \\\"<Spalte für Wert oder null>\\\", \\\"titel\\\": \\\"<kurzer Titel>\\\", \\\"erklaerung\\\": \\\"<1 Satz>\\\"}\\n\\\n- chart=kpi: eine Kennzahl (value = die Wertspalte). chart=bar: label + value. chart=table: sonst.\";\n\nfn frage_ai_inner(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {\n let key = read_api_key()?;\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let schema = db_schema(&con)?;\n let system = SYSTEM_TMPL.replace(\"{SCHEMA}\", &schema);\n\n // Modell auf erlaubte Werte begrenzen\n let modell = match modell.as_str() {\n \"claude-opus-4-8\" | \"claude-sonnet-5\" | \"claude-haiku-4-5\" => modell,\n _ => \"claude-sonnet-5\".to_string(),\n };\n // Thinking-Konfiguration je Modell; bei Thinking mehr Output-Budget\n let (thinking_cfg, max_tokens) = if !thinking {\n (serde_json::json!({\"type\": \"disabled\"}), 1024)\n } else if modell.starts_with(\"claude-haiku\") {\n (serde_json::json!({\"type\": \"enabled\", \"budget_tokens\": 2000}), 4096)\n } else {\n (serde_json::json!({\"type\": \"adaptive\"}), 4096)\n };\n\n let body = serde_json::json!({\n \"model\": modell,\n \"max_tokens\": max_tokens,\n \"thinking\": thinking_cfg,\n \"system\": system,\n \"messages\": [{\"role\": \"user\", \"content\": frage}]\n });\n\n let client = reqwest::blocking::Client::builder()\n .timeout(std::time::Duration::from_secs(60))\n .build()\n .map_err(|e| e.to_string())?;\n let resp = client\n .post(\"https://api.anthropic.com/v1/messages\")\n .header(\"x-api-key\", key)\n .header(\"anthropic-version\", \"2023-06-01\")\n .header(\"content-type\", \"application/json\")\n .json(&body)\n .send()\n .map_err(|e| format!(\"API-Aufruf fehlgeschlagen: {e}\"))?;\n\n let status = resp.status();\n let json: serde_json::Value = resp.json().map_err(|e| e.to_string())?;\n if !status.is_success() {\n return Err(format!(\"API {status}: {}\", json));\n }\n // Im Thinking-Modus steht ein thinking-Block vor dem text-Block -> gezielt den text-Block nehmen\n let text = json[\"content\"]\n .as_array()\n .and_then(|blocks| {\n blocks\n .iter()\n .find(|b| b[\"type\"] == \"text\")\n .and_then(|b| b[\"text\"].as_str())\n })\n .ok_or_else(|| format!(\"kein Text in API-Antwort: {json}\"))?;\n\n // JSON-Objekt aus dem Text herausschneiden (erstes { bis letztes })\n let start = text.find('{').ok_or(\"kein JSON in der Antwort\")?;\n let end = text.rfind('}').ok_or(\"kein JSON in der Antwort\")?;\n let spec: serde_json::Value =\n serde_json::from_str(&text[start..=end]).map_err(|e| format!(\"JSON-Parse: {e}\"))?;\n\n let sql = spec[\"sql\"].as_str().unwrap_or(\"\").trim().to_string();\n if !is_read_only(&sql) {\n return Err(format!(\"Abfrage abgelehnt (nicht read-only): {sql}\"));\n }\n let chart = spec[\"chart\"].as_str().unwrap_or(\"table\").to_string();\n let label = spec[\"label\"].as_str().map(|s| s.to_string());\n let value = spec[\"value\"].as_str().map(|s| s.to_string());\n let titel = spec[\"titel\"].as_str().unwrap_or(\"\").to_string();\n let erklaerung = spec[\"erklaerung\"].as_str().unwrap_or(\"\").to_string();\n\n let mut stmt = con.prepare(&sql).map_err(|e| format!(\"SQL-Fehler: {e}\"))?;\n let columns: Vec<String> = stmt.column_names().iter().map(|s| s.to_string()).collect();\n let ncol = columns.len();\n let rows_iter = stmt\n .query_map([], |r| {\n let mut row = Vec::with_capacity(ncol);\n for i in 0..ncol {\n row.push(cell_to_json(r.get_ref(i)?));\n }\n Ok(row)\n })\n .map_err(|e| e.to_string())?;\n let mut rows = Vec::new();\n for r in rows_iter {\n rows.push(r.map_err(|e| e.to_string())?);\n }\n\n Ok(AiAntwort {\n frage,\n sql,\n chart,\n label,\n value,\n titel,\n erklaerung,\n columns,\n rows,\n })\n}\n\n#[tauri::command]\nasync fn frage_ai(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {\n tauri::async_runtime::spawn_blocking(move || frage_ai_inner(frage, modell, thinking))\n .await\n .map_err(|e| e.to_string())?\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {\n tauri::Builder::default()\n .plugin(tauri_plugin_opener::init())\n .invoke_handler(tauri::generate_handler![\n list_kunden_360,\n list_auftraege,\n list_positionen,\n frage_ai\n ])\n .run(tauri::generate_context!())\n .expect(\"error while running tauri application\");\n}\n","numLines":389,"startLine":1,"totalLines":389}},"sourceToolAssistantUUID":"93d60486-1ea1-4faa-9118-7458b0d73953","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"006831eb-ecbb-48a6-8df7-9f4da7729a25","isSidechain":false,"promptId":"a4dc4d46-b486-4397-adf2-5fcdd9841729","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01S37BxgbhxPPmrKe9FLqUQJ","type":"tool_result","content":"1\t<script setup lang=\"ts\">\n2\timport { ref, computed, onMounted, onUnmounted } from \"vue\";\n3\timport { invoke } from \"@tauri-apps/api/core\";\n4\timport { openUrl } from \"@tauri-apps/plugin-opener\";\n5\timport { GEWERKE, LAENDER, LAND_NAMES } from \"./catalog\";\n6\t\n7\tinterface Kunde {\n8\t kunde_id: number;\n9\t name_roh: string;\n10\t name_1: string | null;\n11\t strasse: string | null;\n12\t plz: string | null;\n13\t land: string | null;\n14\t n_auftraege: number;\n15\t umsatz_netto: number;\n16\t branche_text: string | null;\n17\t gewerk: string | null;\n18\t segment: string | null;\n19\t mitarbeiter_kl: string | null;\n20\t gruendungsjahr: number | null;\n21\t rechtsform: string | null;\n22\t website: string | null;\n23\t ort: string | null;\n24\t konfidenz: number | null;\n25\t bestaetigt: number | null;\n26\t quelle_primaer: string | null;\n27\t}\n28\t\n29\tinterface Auftrag {\n30\t kunde_id: number;\n31\t auftrag_id: string;\n32\t datum: string | null;\n33\t fzg_klasse: string | null;\n34\t fzg_hersteller: string | null;\n35\t fzg_modell: string | null;\n36\t fzg_groesse: string | null;\n37\t umsatz_netto: number; // Landeswährung\n38\t umsatz_eur: number;\n39\t waehrung: string | null;\n40\t wechselkurs: number | null;\n41\t kurs_datum: string | null;\n42\t quotation_state: string | null;\n43\t}\n44\t\n45\tinterface Position {\n46\t modul_id: string;\n47\t artikelnummer: string | null;\n48\t klartext: string;\n49\t menge: number;\n50\t einzelpreis: number;\n51\t pos_wert: number;\n52\t eur_wert: number;\n53\t}\n54\t\n55\t// Aufbau-Cluster -> Icon (inline SVG, viewBox 0 0 24 24, stroke=currentColor)\n56\tconst FZG_ICONS: Record<string, string> = {\n57\t van: '<path d=\"M2 5h10v11H2z\"/><path d=\"M12 8h4.5l3.5 4v4H12z\"/><circle cx=\"6.5\" cy=\"18\" r=\"1.8\"/><circle cx=\"16.5\" cy=\"18\" r=\"1.8\"/>',\n58\t pickup: '<path d=\"M2 8h7v6H2z\"/><path d=\"M9 11h5l4 3h2v0H9z\"/><circle cx=\"6\" cy=\"17\" r=\"1.8\"/><circle cx=\"17\" cy=\"17\" r=\"1.8\"/>',\n59\t pkw: '<path d=\"M3 13l1.8-4.2A2 2 0 0 1 6.6 7.5h7.8a2 2 0 0 1 1.6.8L19 12l2 .6a1 1 0 0 1 .8 1V16H3z\"/><circle cx=\"7\" cy=\"16\" r=\"1.8\"/><circle cx=\"16\" cy=\"16\" r=\"1.8\"/>',\n60\t lkw: '<path d=\"M2 6h11v9H2z\"/><path d=\"M13 9h4l4 4v2h-8z\"/><circle cx=\"6\" cy=\"17\" r=\"1.8\"/><circle cx=\"17\" cy=\"17\" r=\"1.8\"/>',\n61\t unbekannt: '<circle cx=\"12\" cy=\"12\" r=\"9\"/><path d=\"M9.2 9.3a2.8 2.8 0 0 1 5.4 1c0 1.9-2.6 2.3-2.6 4\"/><path d=\"M12 17.2h.01\"/>',\n62\t};\n63\tfunction fzgIcon(kl: string | null): string {\n64\t return FZG_ICONS[kl ?? \"unbekannt\"] ?? FZG_ICONS.unbekannt;\n65\t}\n66\tfunction fzgLabel(a: Auftrag): string {\n67\t return [a.fzg_modell, a.fzg_groesse].filter(Boolean).join(\" · \") || \"kein Fahrzeug\";\n68\t}\n69\t\n70\tconst kunden = ref<Kunde[]>([]);\n71\tconst auftraege = ref<Auftrag[]>([]);\n72\tconst selected = ref<number | null>(null);\n73\tconst fehler = ref(\"\");\n74\tconst activeTab = ref<\"data\" | \"kpis\" | \"fragen\">(\"data\");\n75\tconst suche = ref(\"\");\n76\tconst filterGewerk = ref(\"\");\n77\tconst filterLand = ref(\"\");\n78\tconst sortFeld = ref<keyof Kunde>(\"name_roh\");\n79\tconst sortAuf = ref(true);\n80\t\n81\tconst UNBEKANNT = \"__unbekannt__\";\n82\t\n83\t// Einzel-Prädikate je Dimension (für Facetten-Zähler wiederverwendet)\n84\tfunction passtGewerk(k: Kunde): boolean {\n85\t if (!filterGewerk.value) return true;\n86\t if (filterGewerk.value === UNBEKANNT) return !k.gewerk;\n87\t return k.gewerk === filterGewerk.value;\n88\t}\n89\tfunction passtLand(k: Kunde): boolean {\n90\t if (!filterLand.value) return true;\n91\t if (filterLand.value === UNBEKANNT) return !k.land;\n92\t return k.land === filterLand.value;\n93\t}\n94\tfunction passtSuche(k: Kunde): boolean {\n95\t const q = suche.value.trim().toLowerCase();\n96\t if (!q) return true;\n97\t return [k.name_roh, k.ort, k.branche_text, k.gewerk]\n98\t .filter(Boolean)\n99\t .some((f) => (f as string).toLowerCase().includes(q));\n100\t}\n101\t\n102\t// Filteroptionen: Anzahl auf Basis der jeweils ANDEREN aktiven Filter (faceted)\n103\tconst gewerkOptionen = computed(() => {\n104\t const base = kunden.value.filter((k) => passtLand(k) && passtSuche(k));\n105\t const c = new Map<string, number>();\n106\t let unk = 0;\n107\t for (const k of base) k.gewerk ? c.set(k.gewerk, (c.get(k.gewerk) ?? 0) + 1) : unk++;\n108\t const opts = GEWERKE.filter((g) => c.has(g)).map((g) => ({\n109\t wert: g as string,\n110\t label: `${g} (${c.get(g)})`,\n111\t }));\n112\t if (unk) opts.push({ wert: UNBEKANNT, label: `Unbekannt (${unk})` });\n113\t return opts;\n114\t});\n115\tconst landOptionen = computed(() => {\n116\t const base = kunden.value.filter((k) => passtGewerk(k) && passtSuche(k));\n117\t const c = new Map<string, number>();\n118\t let unk = 0;\n119\t for (const k of base) k.land ? c.set(k.land, (c.get(k.land) ?? 0) + 1) : unk++;\n120\t const opts = LAENDER.filter((l) => c.has(l)).map((l) => ({\n121\t wert: l as string,\n122\t label: `${LAND_NAMES[l] ?? l} (${c.get(l)})`,\n123\t }));\n124\t if (unk) opts.push({ wert: UNBEKANNT, label: `Unbekannt (${unk})` });\n125\t return opts;\n126\t});\n127\t\n128\tconst sortOptionen: { feld: keyof Kunde; label: string }[] = [\n129\t { feld: \"name_roh\", label: \"Name\" },\n130\t { feld: \"ort\", label: \"Ort\" },\n131\t { feld: \"gewerk\", label: \"Gewerk\" },\n132\t { feld: \"segment\", label: \"Segment\" },\n133\t { feld: \"konfidenz\", label: \"Konfidenz\" },\n134\t { feld: \"n_auftraege\", label: \"Aufträge\" },\n135\t { feld: \"umsatz_netto\", label: \"Umsatz\" },\n136\t { feld: \"bestaetigt\", label: \"Bestätigt\" },\n137\t];\n138\t\n139\tconst eur = new Intl.NumberFormat(\"de-DE\", {\n140\t style: \"currency\",\n141\t currency: \"EUR\",\n142\t maximumFractionDigits: 0,\n143\t});\n144\tconst eur2 = new Intl.NumberFormat(\"de-DE\", {\n145\t style: \"currency\",\n146\t currency: \"EUR\",\n147\t minimumFractionDigits: 2,\n148\t maximumFractionDigits: 2,\n149\t});\n150\t\n151\t// währungsbewusste Formatierung (gecacht je Währung/Nachkommastellen)\n152\tconst curFmt = new Map<string, Intl.NumberFormat>();\n153\tfunction fmtCur(v: number, cur: string | null, frac = 2): string {\n154\t const c = cur || \"EUR\";\n155\t const key = `${c}_${frac}`;\n156\t let f = curFmt.get(key);\n157\t if (!f) {\n158\t f = new Intl.NumberFormat(\"de-DE\", {\n159\t style: \"currency\",\n160\t currency: c,\n161\t currencyDisplay: \"narrowSymbol\",\n162\t minimumFractionDigits: frac,\n163\t maximumFractionDigits: frac,\n164\t });\n165\t curFmt.set(key, f);\n166\t }\n167\t return f.format(v);\n168\t}\n169\t// Kurs als \"1 EUR = 11,0465 NOK\"\n170\tconst kursFmt = new Intl.NumberFormat(\"de-DE\", {\n171\t minimumFractionDigits: 2,\n172\t maximumFractionDigits: 4,\n173\t});\n174\t\n175\t// Stücklisten-Popup\n176\tconst offenerAuftrag = ref<Auftrag | null>(null);\n177\tconst positionen = ref<Position[]>([]);\n178\tconst ladePos = ref(false);\n179\tconst fehlerPos = ref(\"\");\n180\t\n181\tconst kundeById = computed(() => {\n182\t const m = new Map<number, Kunde>();\n183\t for (const k of kunden.value) m.set(k.kunde_id, k);\n184\t return m;\n185\t});\n186\t\n187\tconst posSumme = computed(() =>\n188\t positionen.value.reduce((s, p) => s + p.pos_wert, 0),\n189\t);\n190\tconst posSummeEur = computed(() =>\n191\t positionen.value.reduce((s, p) => s + p.eur_wert, 0),\n192\t);\n193\tconst istFremdwaehrung = computed(\n194\t () => !!offenerAuftrag.value && offenerAuftrag.value.waehrung !== \"EUR\",\n195\t);\n196\t\n197\tasync function openAuftrag(a: Auftrag) {\n198\t offenerAuftrag.value = a;\n199\t positionen.value = [];\n200\t fehlerPos.value = \"\";\n201\t ladePos.value = true;\n202\t try {\n203\t positionen.value = await invoke<Position[]>(\"list_positionen\", {\n204\t auftragId: a.auftrag_id,\n205\t });\n206\t } catch (e) {\n207\t fehlerPos.value = String(e);\n208\t } finally {\n209\t ladePos.value = false;\n210\t }\n211\t}\n212\t\n213\tfunction closeAuftrag() {\n214\t offenerAuftrag.value = null;\n215\t}\n216\t\n217\tfunction onKey(e: KeyboardEvent) {\n218\t if (e.key === \"Escape\") closeAuftrag();\n219\t}\n220\tonMounted(() => window.addEventListener(\"keydown\", onKey));\n221\tonUnmounted(() => window.removeEventListener(\"keydown\", onKey));\n222\t\n223\tonMounted(async () => {\n224\t try {\n225\t kunden.value = await invoke<Kunde[]>(\"list_kunden_360\");\n226\t auftraege.value = await invoke<Auftrag[]>(\"list_auftraege\");\n227\t } catch (e) {\n228\t fehler.value = String(e);\n229\t }\n230\t});\n231\t\n232\tconst bestaetigtCount = computed(\n233\t () => kunden.value.filter((k) => k.bestaetigt === 1).length,\n234\t);\n235\t\n236\tconst auftraegeByKunde = computed(() => {\n237\t const m = new Map<number, Auftrag[]>();\n238\t for (const a of auftraege.value) {\n239\t (m.get(a.kunde_id) ?? m.set(a.kunde_id, []).get(a.kunde_id)!).push(a);\n240\t }\n241\t return m;\n242\t});\n243\t\n244\tfunction toggle(id: number) {\n245\t selected.value = selected.value === id ? null : id;\n246\t}\n247\t\n248\tconst gefiltert = computed(() => {\n249\t const list = kunden.value.filter(\n250\t (k) => passtGewerk(k) && passtLand(k) && passtSuche(k),\n251\t );\n252\t const feld = sortFeld.value;\n253\t const dir = sortAuf.value ? 1 : -1;\n254\t return [...list].sort((a, b) => {\n255\t const va = a[feld];\n256\t const vb = b[feld];\n257\t if (va === null || va === undefined) return 1;\n258\t if (vb === null || vb === undefined) return -1;\n259\t if (typeof va === \"number\" && typeof vb === \"number\") return (va - vb) * dir;\n260\t return String(va).localeCompare(String(vb), \"de\") * dir;\n261\t });\n262\t});\n263\t\n264\t// ---- KPIs (aus den bereits geladenen Daten) ----\n265\tinterface Bucket {\n266\t key: string;\n267\t anzahl: number;\n268\t umsatz: number;\n269\t}\n270\tfunction gruppieren<T>(\n271\t arr: T[],\n272\t keyFn: (x: T) => string | null,\n273\t valFn: (x: T) => number,\n274\t): Bucket[] {\n275\t const m = new Map<string, Bucket>();\n276\t for (const x of arr) {\n277\t const key = keyFn(x) || \"unbekannt\";\n278\t const e = m.get(key) ?? { key, anzahl: 0, umsatz: 0 };\n279\t e.anzahl += 1;\n280\t e.umsatz += valFn(x) || 0;\n281\t m.set(key, e);\n282\t }\n283\t return [...m.values()].sort((a, b) => b.umsatz - a.umsatz);\n284\t}\n285\t\n286\tconst kpis = computed(() => {\n287\t const ks = kunden.value;\n288\t const as = auftraege.value;\n289\t const umsatz = ks.reduce((s, k) => s + (k.umsatz_netto || 0), 0);\n290\t const bestaetigt = ks.filter((k) => k.bestaetigt === 1).length;\n291\t const orders = as.filter((a) => a.quotation_state === \"order\").length;\n292\t return {\n293\t nKunden: ks.length,\n294\t nAuftraege: as.length,\n295\t umsatz,\n296\t avg: as.length ? umsatz / as.length : 0,\n297\t bestaetigtPct: ks.length ? Math.round((100 * bestaetigt) / ks.length) : 0,\n298\t ordersPct: as.length ? Math.round((100 * orders) / as.length) : 0,\n299\t gewerk: gruppieren(ks, (k) => k.gewerk, (k) => k.umsatz_netto),\n300\t land: gruppieren(ks, (k) => k.land, (k) => k.umsatz_netto),\n301\t segment: gruppieren(ks, (k) => k.segment, (k) => k.umsatz_netto),\n302\t waehrung: gruppieren(as, (a) => a.waehrung, (a) => a.umsatz_eur),\n303\t fzg: gruppieren(as, (a) => a.fzg_klasse, (a) => a.umsatz_eur),\n304\t };\n305\t});\n306\t\n307\tconst kpiPanels = computed(() => [\n308\t { titel: \"Umsatz je Gewerk\", rows: kpis.value.gewerk, land: false },\n309\t { titel: \"Umsatz je Land\", rows: kpis.value.land, land: true },\n310\t { titel: \"Umsatz je Segment\", rows: kpis.value.segment, land: false },\n311\t { titel: \"Aufträge je Währung (EUR-Umsatz)\", rows: kpis.value.waehrung, land: false },\n312\t { titel: \"Umsatz je Fahrzeugklasse\", rows: kpis.value.fzg, land: false },\n313\t]);\n314\t\n315\tfunction balken(v: number, rows: Bucket[]): string {\n316\t const max = Math.max(1, ...rows.map((r) => r.umsatz));\n317\t return Math.round((100 * v) / max) + \"%\";\n318\t}\n319\tfunction panelLabel(key: string, land: boolean): string {\n320\t if (land) return LAND_NAMES[key] ?? (key === \"unbekannt\" ? \"Unbekannt\" : key);\n321\t return key === \"unbekannt\" ? \"Unbekannt\" : key;\n322\t}\n323\t\n324\t// ---- Natursprache-Assistent (frage_ai) ----\n325\ttype Zelle = string | number | null;\n326\tinterface AiAntwort {\n327\t frage: string;\n328\t sql: string;\n329\t chart: string; // kpi | bar | table\n330\t label: string | null;\n331\t value: string | null;\n332\t titel: string;\n333\t erklaerung: string;\n334\t columns: string[];\n335\t rows: Zelle[][];\n336\t}\n337\t\n338\tconst aiFrage = ref(\"\");\n339\tconst aiAntwort = ref<AiAntwort | null>(null);\n340\tconst aiLaden = ref(false);\n341\tconst aiFehler = ref(\"\");\n342\tconst aiSqlOffen = ref(false);\n343\tconst aiModell = ref(\"claude-sonnet-5\");\n344\tconst aiThinking = ref(false);\n345\tconst aiModelle = [\n346\t { id: \"claude-sonnet-5\", label: \"Sonnet 5\" },\n347\t { id: \"claude-opus-4-8\", label: \"Opus 4.8\" },\n348\t { id: \"claude-haiku-4-5\", label: \"Haiku 4.5\" },\n349\t];\n350\tconst aiBeispiele = [\n351\t \"Umsatz je Gewerk\",\n352\t \"Top 10 Kunden nach Umsatz\",\n353\t \"Gesamtumsatz in Euro\",\n354\t \"Anzahl Aufträge je Land\",\n355\t \"Durchschnittlicher Auftragswert je Segment\",\n356\t];\n357\t\n358\tconst numFmt = new Intl.NumberFormat(\"de-DE\", { maximumFractionDigits: 2 });\n359\tfunction zelle(v: Zelle): string {\n360\t if (v === null || v === undefined) return \"—\";\n361\t return typeof v === \"number\" ? numFmt.format(v) : v;\n362\t}\n363\tfunction spaltenIndex(a: AiAntwort, name: string | null): number {\n364\t return name ? a.columns.indexOf(name) : -1;\n365\t}\n366\t\n367\tasync function fragen(text?: string) {\n368\t const f = (text ?? aiFrage.value).trim();\n369\t if (!f) return;\n370\t aiFrage.value = f;\n371\t aiLaden.value = true;\n372\t aiFehler.value = \"\";\n373\t aiAntwort.value = null;\n374\t aiSqlOffen.value = false;\n375\t try {\n376\t aiAntwort.value = await invoke<AiAntwort>(\"frage_ai\", {\n377\t frage: f,\n378\t modell: aiModell.value,\n379\t thinking: aiThinking.value,\n380\t });\n381\t } catch (e) {\n382\t aiFehler.value = String(e);\n383\t } finally {\n384\t aiLaden.value = false;\n385\t }\n386\t}\n387\t\n388\tconst aiKpi = computed(() => {\n389\t const a = aiAntwort.value;\n390\t if (!a || a.chart !== \"kpi\" || !a.rows.length) return null;\n391\t const vi = spaltenIndex(a, a.value);\n392\t return zelle(a.rows[0][vi >= 0 ? vi : 0]);\n393\t});\n394\tconst aiBars = computed(() => {\n395\t const a = aiAntwort.value;\n396\t if (!a || a.chart !== \"bar\") return [];\n397\t const li = spaltenIndex(a, a.label);\n398\t const vi = spaltenIndex(a, a.value);\n399\t if (vi < 0) return [];\n400\t const rows = a.rows.map((r) => ({\n401\t label: li >= 0 ? zelle(r[li]) : \"\",\n402\t value: Number(r[vi]) || 0,\n403\t }));\n404\t const max = Math.max(1, ...rows.map((r) => r.value));\n405\t return rows.map((r) => ({ ...r, pct: Math.round((100 * r.value) / max) + \"%\" }));\n406\t});\n407\t\n408\t</script>\n409\t\n410\t<template>\n411\t <header class=\"topbar\">\n412\t <nav class=\"tabs\" role=\"tablist\">\n413\t <button\n414\t class=\"tab\"\n415\t :class=\"{ on: activeTab === 'data' }\"\n416\t @click=\"activeTab = 'data'\"\n417\t >\n418\t Data\n419\t </button>\n420\t <button\n421\t class=\"tab\"\n422\t :class=\"{ on: activeTab === 'kpis' }\"\n423\t @click=\"activeTab = 'kpis'\"\n424\t >\n425\t KPIs\n426\t </button>\n427\t <button\n428\t class=\"tab\"\n429\t :class=\"{ on: activeTab === 'fragen' }\"\n430\t @click=\"activeTab = 'fragen'\"\n431\t >\n432\t Fragen\n433\t </button>\n434\t </nav>\n435\t <div class=\"titel\">\n436\t <h1>{{ activeTab === \"kpis\" ? \"KPIs\" : \"Kundenstamm\" }}</h1>\n437\t <span class=\"sub\"\n438\t >geliefert &amp; angereichert ·\n439\t {{ gefiltert.length }}<template v-if=\"gefiltert.length !== kunden.length\">/{{ kunden.length }}</template>\n440\t Kunden · {{ bestaetigtCount }} bestätigt</span\n441\t >\n442\t </div>\n443\t <div class=\"tools\" v-show=\"activeTab === 'data'\">\n444\t <span class=\"filterbox\" :class=\"{ aktiv: filterGewerk }\">\n445\t <svg class=\"trichter\" viewBox=\"0 0 24 24\" aria-hidden=\"true\">\n446\t <path d=\"M3 5h18l-7 8v6l-4 2v-8z\" />\n447\t </svg>\n448\t <select v-model=\"filterGewerk\" class=\"filter\" title=\"Branche filtern\">\n449\t <option value=\"\">Alle Branchen</option>\n450\t <option v-for=\"o in gewerkOptionen\" :key=\"o.wert\" :value=\"o.wert\">\n451\t {{ o.label }}\n452\t </option>\n453\t </select>\n454\t </span>\n455\t <span class=\"filterbox\" :class=\"{ aktiv: filterLand }\">\n456\t <svg class=\"trichter\" viewBox=\"0 0 24 24\" aria-hidden=\"true\">\n457\t <path d=\"M3 5h18l-7 8v6l-4 2v-8z\" />\n458\t </svg>\n459\t <select v-model=\"filterLand\" class=\"filter\" title=\"Land filtern\">\n460\t <option value=\"\">Alle Länder</option>\n461\t <option v-for=\"o in landOptionen\" :key=\"o.wert\" :value=\"o.wert\">\n462\t {{ o.label }}\n463\t </option>\n464\t </select>\n465\t </span>\n466\t <input\n467\t v-model=\"suche\"\n468\t class=\"suche\"\n469\t type=\"search\"\n470\t placeholder=\"Suche Name, Ort, Branche…\"\n471\t />\n472\t <span class=\"sortbox\">\n473\t <select v-model=\"sortFeld\" class=\"sort\" title=\"Sortierfeld\">\n474\t <option v-for=\"o in sortOptionen\" :key=\"o.feld\" :value=\"o.feld\">\n475\t Sortierung: {{ o.label }}\n476\t </option>\n477\t </select>\n478\t <button class=\"dir\" @click=\"sortAuf = !sortAuf\" :title=\"sortAuf ? 'aufsteigend' : 'absteigend'\">\n479\t {{ sortAuf ? \"↑\" : \"↓\" }}\n480\t </button>\n481\t </span>\n482\t </div>\n483\t </header>\n484\t\n485\t <p v-if=\"fehler\" class=\"fehler\">{{ fehler }}</p>\n486\t\n487\t <main class=\"grid\" v-show=\"activeTab === 'data'\">\n488\t <article\n489\t v-for=\"k in gefiltert\"\n490\t :key=\"k.kunde_id\"\n491\t class=\"karte\"\n492\t :class=\"{ aktiv: selected === k.kunde_id }\"\n493\t @click=\"toggle(k.kunde_id)\"\n494\t >\n495\t <div class=\"links\">\n496\t <div class=\"kopf\">\n497\t <h2>{{ k.name_roh }}</h2>\n498\t <span v-if=\"k.bestaetigt === 1\" class=\"ok\" title=\"über Sitz/HR bestätigt\">✓</span>\n499\t <span v-else class=\"unb\" title=\"unbestätigt\">?</span>\n500\t </div>\n501\t <section class=\"block geliefert\">\n502\t <span class=\"herkunft\">geliefert</span>\n503\t <div class=\"zeile\" v-if=\"k.strasse\">{{ k.strasse }}</div>\n504\t <div class=\"zeile\">{{ [k.plz, k.ort].filter(Boolean).join(\" \") }}{{ k.land ? \" · \" + k.land : \"\" }}</div>\n505\t <div class=\"zeile kennzahl\">\n506\t {{ k.n_auftraege }} {{ k.n_auftraege === 1 ? \"Auftrag\" : \"Aufträge\" }}\n507\t · {{ eur.format(k.umsatz_netto) }}\n508\t </div>\n509\t </section>\n510\t </div>\n511\t\n512\t <section class=\"block angereichert\">\n513\t <span class=\"herkunft\">angereichert</span>\n514\t <div class=\"badges\">\n515\t <span v-if=\"k.gewerk\" class=\"badge gewerk\">{{ k.gewerk }}</span>\n516\t <span v-if=\"k.segment\" class=\"badge segment\">{{ k.segment }}</span>\n517\t <span v-if=\"k.mitarbeiter_kl\" class=\"badge\">{{ k.mitarbeiter_kl }} MA</span>\n518\t <span v-if=\"k.gruendungsjahr\" class=\"badge\">gegr. {{ k.gruendungsjahr }}</span>\n519\t </div>\n520\t <div class=\"zeile branche\" v-if=\"k.branche_text\">{{ k.branche_text }}</div>\n521\t <div class=\"konfidenz\" v-if=\"k.konfidenz !== null\">\n522\t <div class=\"bar\"><div class=\"fill\" :style=\"{ width: Math.round(k.konfidenz * 100) + '%' }\"></div></div>\n523\t <span class=\"kpct\">{{ Math.round(k.konfidenz * 100) }}%</span>\n524\t <span v-if=\"k.quelle_primaer\" class=\"quelle\">{{ k.quelle_primaer }}</span>\n525\t </div>\n526\t <a v-if=\"k.website\" :href=\"k.website\" @click.prevent.stop=\"openUrl(k.website!)\" class=\"web\">{{ k.website }}</a>\n527\t </section>\n528\t\n529\t <section v-if=\"selected === k.kunde_id\" class=\"block auftraege\">\n530\t <span class=\"herkunft\">Aufträge ({{ (auftraegeByKunde.get(k.kunde_id) ?? []).length }})</span>\n531\t <ul class=\"aliste\">\n532\t <li\n533\t v-for=\"a in auftraegeByKunde.get(k.kunde_id) ?? []\"\n534\t :key=\"a.auftrag_id\"\n535\t class=\"azeile\"\n536\t @click.stop=\"openAuftrag(a)\"\n537\t title=\"Stückliste öffnen\"\n538\t >\n539\t <span class=\"adat\">{{ a.datum ?? \"—\" }}</span>\n540\t <span class=\"afzg\" :class=\"{ leer: a.fzg_klasse === 'unbekannt' || !a.fzg_klasse }\">\n541\t <svg\n542\t class=\"fzgicon\"\n543\t viewBox=\"0 0 24 24\"\n544\t fill=\"none\"\n545\t stroke=\"currentColor\"\n546\t stroke-width=\"1.5\"\n547\t stroke-linecap=\"round\"\n548\t stroke-linejoin=\"round\"\n549\t v-html=\"fzgIcon(a.fzg_klasse)\"\n550\t :aria-label=\"a.fzg_klasse ?? 'unbekannt'\"\n551\t ></svg>\n552\t <span class=\"ftxt\">{{ fzgLabel(a) }}</span>\n553\t </span>\n554\t <span class=\"aval\">{{ fmtCur(a.umsatz_netto, a.waehrung, 0) }}</span>\n555\t </li>\n556\t </ul>\n557\t </section>\n558\t </article>\n559\t </main>\n560\t\n561\t <section class=\"kpis\" v-show=\"activeTab === 'kpis'\">\n562\t <div class=\"statrow\">\n563\t <div class=\"stat\">\n564\t <div class=\"statwert\">{{ kpis.nKunden }}</div>\n565\t <div class=\"statlabel\">Kunden</div>\n566\t </div>\n567\t <div class=\"stat\">\n568\t <div class=\"statwert\">{{ kpis.nAuftraege }}</div>\n569\t <div class=\"statlabel\">Aufträge</div>\n570\t </div>\n571\t <div class=\"stat\">\n572\t <div class=\"statwert\">{{ eur.format(kpis.umsatz) }}</div>\n573\t <div class=\"statlabel\">Umsatz (EUR-normiert)</div>\n574\t </div>\n575\t <div class=\"stat\">\n576\t <div class=\"statwert\">{{ eur.format(kpis.avg) }}</div>\n577\t <div class=\"statlabel\">Ø Auftragswert</div>\n578\t </div>\n579\t <div class=\"stat\">\n580\t <div class=\"statwert\">{{ kpis.ordersPct }}%</div>\n581\t <div class=\"statlabel\">Auftrag (vs. Angebot)</div>\n582\t </div>\n583\t <div class=\"stat\">\n584\t <div class=\"statwert\">{{ kpis.bestaetigtPct }}%</div>\n585\t <div class=\"statlabel\">Branche bestätigt</div>\n586\t </div>\n587\t </div>\n588\t\n589\t <div class=\"panelgrid\">\n590\t <article v-for=\"p in kpiPanels\" :key=\"p.titel\" class=\"panel\">\n591\t <h3>{{ p.titel }}</h3>\n592\t <ul class=\"kpiliste\">\n593\t <li v-for=\"r in p.rows\" :key=\"r.key\">\n594\t <span class=\"pl\">{{ panelLabel(r.key, p.land) }}</span>\n595\t <span class=\"pbar\"><span class=\"pfill\" :style=\"{ width: balken(r.umsatz, p.rows) }\"></span></span>\n596\t <span class=\"pn\">{{ r.anzahl }}</span>\n597\t <span class=\"pv\">{{ eur.format(r.umsatz) }}</span>\n598\t </li>\n599\t </ul>\n600\t </article>\n601\t </div>\n602\t </section>\n603\t\n604\t <section class=\"fragen\" v-show=\"activeTab === 'fragen'\">\n605\t <div class=\"frageleiste\">\n606\t <label class=\"opt\">\n607\t <span class=\"optlabel\">Modell</span>\n608\t <select v-model=\"aiModell\" class=\"modellsel\">\n609\t <option v-for=\"m in aiModelle\" :key=\"m.id\" :value=\"m.id\">{{ m.label }}</option>\n610\t </select>\n611\t </label>\n612\t <label class=\"opt thinkopt\">\n613\t <input type=\"checkbox\" v-model=\"aiThinking\" />\n614\t <span class=\"optlabel\">Thinking</span>\n615\t </label>\n616\t <input\n617\t v-model=\"aiFrage\"\n618\t class=\"frageinput\"\n619\t type=\"text\"\n620\t placeholder=\"Frag die Daten … z. B. Umsatz je Gewerk, oder Top 10 Kunden nach Umsatz\"\n621\t @keyup.enter=\"fragen()\"\n622\t />\n623\t <button class=\"fragebtn\" @click=\"fragen()\" :disabled=\"aiLaden\">\n624\t {{ aiLaden ? \"…\" : \"Fragen\" }}\n625\t </button>\n626\t </div>\n627\t <div class=\"beispiele\">\n628\t <button\n629\t v-for=\"b in aiBeispiele\"\n630\t :key=\"b\"\n631\t class=\"beispielchip\"\n632\t @click=\"fragen(b)\"\n633\t >\n634\t {{ b }}\n635\t </button>\n636\t </div>\n637\t\n638\t <p v-if=\"aiFehler\" class=\"fehler\">{{ aiFehler }}</p>\n639\t\n640\t <article v-if=\"aiAntwort\" class=\"airesult\">\n641\t <h3>{{ aiAntwort.titel || aiAntwort.frage }}</h3>\n642\t <p v-if=\"aiAntwort.erklaerung\" class=\"aierkl\">{{ aiAntwort.erklaerung }}</p>\n643\t\n644\t <div v-if=\"aiAntwort.chart === 'kpi'\" class=\"aikpi\">{{ aiKpi }}</div>\n645\t\n646\t <ul v-else-if=\"aiAntwort.chart === 'bar' && aiBars.length\" class=\"kpiliste aibars\">\n647\t <li v-for=\"(r, i) in aiBars\" :key=\"i\">\n648\t <span class=\"pl\">{{ r.label }}</span>\n649\t <span class=\"pbar\"><span class=\"pfill\" :style=\"{ width: r.pct }\"></span></span>\n650\t <span class=\"pv\">{{ numFmt.format(r.value) }}</span>\n651\t </li>\n652\t </ul>\n653\t\n654\t <div v-else class=\"aitable-wrap\">\n655\t <table class=\"aitable\">\n656\t <thead>\n657\t <tr><th v-for=\"c in aiAntwort.columns\" :key=\"c\">{{ c }}</th></tr>\n658\t </thead>\n659\t <tbody>\n660\t <tr v-for=\"(row, ri) in aiAntwort.rows\" :key=\"ri\">\n661\t <td v-for=\"(cell, ci) in row\" :key=\"ci\">{{ zelle(cell) }}</td>\n662\t </tr>\n663\t </tbody>\n664\t </table>\n665\t </div>\n666\t\n667\t <button class=\"sqltoggle\" @click=\"aiSqlOffen = !aiSqlOffen\">\n668\t {{ aiSqlOffen ? \"SQL ausblenden\" : \"SQL anzeigen\" }}\n669\t </button>\n670\t <pre v-if=\"aiSqlOffen\" class=\"aisql\">{{ aiAntwort.sql }}</pre>\n671\t </article>\n672\t </section>\n673\t\n674\t <transition name=\"fade\">\n675\t <div v-if=\"offenerAuftrag\" class=\"overlay\" @click.self=\"closeAuftrag\">\n676\t <div class=\"dialog\" role=\"dialog\" aria-modal=\"true\">\n677\t <header class=\"dkopf\">\n678\t <div>\n679\t <h3>Stückliste</h3>\n680\t <div class=\"dmeta\">\n681\t <span class=\"dnr\">{{ offenerAuftrag.auftrag_id.replace(/^export_/, \"\") }}</span>\n682\t <span>{{ offenerAuftrag.datum ?? \"—\" }}</span>\n683\t <span>{{ kundeById.get(offenerAuftrag.kunde_id)?.name_roh }}</span>\n684\t <span class=\"dfzg\">\n685\t <svg\n686\t class=\"fzgicon\"\n687\t viewBox=\"0 0 24 24\"\n688\t fill=\"none\"\n689\t stroke=\"currentColor\"\n690\t stroke-width=\"1.5\"\n691\t stroke-linecap=\"round\"\n692\t stroke-linejoin=\"round\"\n693\t v-html=\"fzgIcon(offenerAuftrag.fzg_klasse)\"\n694\t ></svg>\n695\t {{ fzgLabel(offenerAuftrag) }}\n696\t </span>\n697\t <span\n698\t v-if=\"offenerAuftrag.quotation_state\"\n699\t class=\"dstate\"\n700\t :class=\"{ order: offenerAuftrag.quotation_state === 'order' }\"\n701\t >{{ offenerAuftrag.quotation_state === \"order\" ? \"Auftrag\" : offenerAuftrag.quotation_state }}</span>\n702\t <span v-if=\"offenerAuftrag.waehrung\" class=\"dwaehrung\">{{ offenerAuftrag.waehrung }}</span>\n703\t </div>\n704\t </div>\n705\t <button class=\"dx\" @click=\"closeAuftrag\" aria-label=\"Schließen\">✕</button>\n706\t </header>\n707\t\n708\t <div class=\"dbody\">\n709\t <p v-if=\"ladePos\" class=\"dinfo\">lädt…</p>\n710\t <p v-else-if=\"fehlerPos\" class=\"fehler\">{{ fehlerPos }}</p>\n711\t <table v-else class=\"stueck\">\n712\t <thead>\n713\t <tr>\n714\t <th class=\"c-pos\">#</th>\n715\t <th class=\"c-bez\">Bezeichnung</th>\n716\t <th class=\"c-art\">Artikel-Nr.</th>\n717\t <th class=\"c-num\">Menge</th>\n718\t <th class=\"c-num\">Einzelpreis</th>\n719\t <th class=\"c-num\">Wert</th>\n720\t <th v-if=\"istFremdwaehrung\" class=\"c-num\">EUR</th>\n721\t </tr>\n722\t </thead>\n723\t <tbody>\n724\t <tr v-for=\"(p, idx) in positionen\" :key=\"p.modul_id\">\n725\t <td class=\"c-pos\">{{ idx + 1 }}</td>\n726\t <td class=\"c-bez\">\n727\t <span class=\"bez\">{{ p.klartext }}</span>\n728\t <span class=\"mid\">{{ p.modul_id }}</span>\n729\t </td>\n730\t <td class=\"c-art\">{{ p.artikelnummer ?? \"—\" }}</td>\n731\t <td class=\"c-num\">{{ p.menge }}</td>\n732\t <td class=\"c-num\">{{ fmtCur(p.einzelpreis, offenerAuftrag!.waehrung) }}</td>\n733\t <td class=\"c-num wert\">{{ fmtCur(p.pos_wert, offenerAuftrag!.waehrung) }}</td>\n734\t <td v-if=\"istFremdwaehrung\" class=\"c-num eurcol\">{{ eur2.format(p.eur_wert) }}</td>\n735\t </tr>\n736\t </tbody>\n737\t <tfoot>\n738\t <tr>\n739\t <td colspan=\"5\" class=\"c-sum\">Summe Positionen ({{ positionen.length }})</td>\n740\t <td class=\"c-num wert\">{{ fmtCur(posSumme, offenerAuftrag!.waehrung) }}</td>\n741\t <td v-if=\"istFremdwaehrung\" class=\"c-num wert eurcol\">{{ eur2.format(posSummeEur) }}</td>\n742\t </tr>\n743\t <tr v-if=\"istFremdwaehrung\" class=\"kurszeile\">\n744\t <td :colspan=\"7\" class=\"c-kurs\">\n745\t Kurs: 1 EUR = {{ kursFmt.format(offenerAuftrag!.wechselkurs!) }}\n746\t {{ offenerAuftrag!.waehrung }}\n747\t · Abschlusstag {{ offenerAuftrag!.kurs_datum }} · EZB-Referenzkurs\n748\t </td>\n749\t </tr>\n750\t </tfoot>\n751\t </table>\n752\t </div>\n753\t </div>\n754\t </div>\n755\t </transition>\n756\t</template>\n757\t\n758\t<style scoped>\n759\t.topbar {\n760\t position: sticky;\n761\t top: 0;\n762\t z-index: 5;\n763\t display: flex;\n764\t align-items: center;\n765\t justify-content: space-between;\n766\t gap: 1rem;\n767\t padding: 0.9rem 1.4rem;\n768\t background: var(--bar);\n769\t border-bottom: 1px solid var(--line);\n770\t backdrop-filter: blur(8px);\n771\t}\n772\t.titel h1 {\n773\t margin: 0;\n774\t font-size: 1.25rem;\n775\t letter-spacing: -0.01em;\n776\t}\n777\t.titel .sub {\n778\t font-size: 0.8rem;\n779\t color: var(--dim);\n780\t}\n781\t.tools {\n782\t display: flex;\n783\t gap: 0.5rem;\n784\t}\n785\t.suche {\n786\t width: 16rem;\n787\t max-width: 40vw;\n788\t}\n789\tinput,\n790\tselect,\n791\tbutton {\n792\t border-radius: 8px;\n793\t border: 1px solid var(--line);\n794\t padding: 0.5em 0.8em;\n795\t font: inherit;\n796\t color: inherit;\n797\t background: var(--field);\n798\t}\n799\tbutton {\n800\t cursor: pointer;\n801\t}\n802\t.dir {\n803\t width: 2.6rem;\n804\t font-weight: 600;\n805\t}\n806\t/* Filter (blau, mit Trichter) — Box = Bedienelement, Icon + Select darin */\n807\t.filterbox {\n808\t display: inline-flex;\n809\t align-items: center;\n810\t gap: 0.4rem;\n811\t padding-left: 0.65rem;\n812\t border: 1px solid #c3ccec;\n813\t border-radius: 8px;\n814\t background: #eef1fb;\n815\t}\n816\t.filterbox .trichter {\n817\t width: 0.95rem;\n818\t height: 0.95rem;\n819\t flex: 0 0 auto;\n820\t fill: #1f3a8a;\n821\t}\n822\t.filterbox select.filter {\n823\t border: none;\n824\t background: transparent;\n825\t padding-left: 0;\n826\t color: #1f3a8a;\n827\t font-weight: 500;\n828\t}\n829\t.filterbox.aktiv {\n830\t background: #1f3a8a;\n831\t border-color: #1f3a8a;\n832\t}\n833\t.filterbox.aktiv .trichter {\n834\t fill: #fff;\n835\t}\n836\t.filterbox.aktiv select.filter {\n837\t color: #fff;\n838\t}\n839\t.sortbox {\n840\t display: inline-flex;\n841\t gap: 0.5rem;\n842\t}\n843\t.fehler {\n844\t margin: 1rem 1.4rem;\n845\t color: #e2001a;\n846\t}\n847\t.grid {\n848\t display: flex;\n849\t flex-direction: column;\n850\t gap: 0.6rem;\n851\t padding: 1.4rem;\n852\t max-width: 1100px;\n853\t margin: 0 auto;\n854\t}\n855\t.karte {\n856\t display: flex;\n857\t flex-direction: row;\n858\t align-items: stretch;\n859\t gap: 1rem;\n860\t padding: 0.85rem 1.1rem;\n861\t border: 1px solid var(--line);\n862\t border-radius: 12px;\n863\t background: var(--card);\n864\t box-shadow: 0 1px 2px rgba(0, 0, 0, 0.04);\n865\t cursor: pointer;\n866\t transition: border-color 0.15s, box-shadow 0.15s;\n867\t}\n868\t.karte:hover {\n869\t border-color: #c9c9c9;\n870\t}\n871\t.karte.aktiv {\n872\t border-color: #e2001a;\n873\t box-shadow: 0 0 0 1px #e2001a;\n874\t}\n875\t.links {\n876\t flex: 0 0 19rem;\n877\t display: flex;\n878\t flex-direction: column;\n879\t gap: 0.5rem;\n880\t}\n881\t.angereichert {\n882\t flex: 1;\n883\t}\n884\t.auftraege {\n885\t flex: 0 0 17rem;\n886\t border-left: 1px solid var(--line);\n887\t padding-left: 0.9rem;\n888\t}\n889\t.aliste {\n890\t list-style: none;\n891\t margin: 0.2rem 0 0;\n892\t padding: 0;\n893\t display: flex;\n894\t flex-direction: column;\n895\t gap: 0.2rem;\n896\t}\n897\t.aliste li {\n898\t display: grid;\n899\t grid-template-columns: 5.2rem 1fr auto;\n900\t gap: 0.5rem;\n901\t align-items: baseline;\n902\t font-size: 0.78rem;\n903\t padding: 0.18rem 0;\n904\t border-bottom: 1px solid var(--line);\n905\t}\n906\t.adat {\n907\t font-variant-numeric: tabular-nums;\n908\t color: var(--dim);\n909\t}\n910\t.afzg {\n911\t display: flex;\n912\t align-items: center;\n913\t gap: 0.35rem;\n914\t min-width: 0;\n915\t}\n916\t.fzgicon {\n917\t width: 1.15rem;\n918\t height: 1.15rem;\n919\t flex: 0 0 auto;\n920\t color: #1f3a8a;\n921\t}\n922\t.ftxt {\n923\t overflow: hidden;\n924\t text-overflow: ellipsis;\n925\t white-space: nowrap;\n926\t}\n927\t.afzg.leer {\n928\t color: var(--dim);\n929\t}\n930\t.afzg.leer .fzgicon {\n931\t color: var(--dim);\n932\t opacity: 0.6;\n933\t}\n934\t.aval {\n935\t font-variant-numeric: tabular-nums;\n936\t font-weight: 600;\n937\t text-align: right;\n938\t}\n939\t@media (max-width: 720px) {\n940\t .karte {\n941\t flex-direction: column;\n942\t }\n943\t .links {\n944\t flex-basis: auto;\n945\t }\n946\t}\n947\t.kopf {\n948\t display: flex;\n949\t align-items: flex-start;\n950\t justify-content: space-between;\n951\t gap: 0.5rem;\n952\t}\n953\t.kopf h2 {\n954\t margin: 0;\n955\t font-size: 1.02rem;\n956\t line-height: 1.25;\n957\t}\n958\t.ok {\n959\t color: #11823b;\n960\t font-weight: 700;\n961\t}\n962\t.unb {\n963\t color: var(--dim);\n964\t font-weight: 700;\n965\t}\n966\t.block {\n967\t position: relative;\n968\t padding: 0.55rem 0.65rem 0.5rem;\n969\t border-radius: 10px;\n970\t}\n971\t.geliefert {\n972\t background: var(--liefer);\n973\t}\n974\t.angereichert {\n975\t background: var(--anreich);\n976\t}\n977\t.herkunft {\n978\t display: block;\n979\t font-size: 0.62rem;\n980\t text-transform: uppercase;\n981\t letter-spacing: 0.09em;\n982\t color: var(--dim);\n983\t margin-bottom: 0.25rem;\n984\t}\n985\t.zeile {\n986\t font-size: 0.86rem;\n987\t line-height: 1.35;\n988\t}\n989\t.kennzahl {\n990\t margin-top: 0.15rem;\n991\t font-weight: 600;\n992\t}\n993\t.branche {\n994\t margin-top: 0.3rem;\n995\t color: var(--dim);\n996\t}\n997\t.badges {\n998\t display: flex;\n999\t flex-wrap: wrap;\n1000\t gap: 0.3rem;\n1001\t}\n1002\t.badge {\n1003\t font-size: 0.72rem;\n1004\t padding: 0.12rem 0.5rem;\n1005\t border-radius: 999px;\n1006\t background: var(--field);\n1007\t border: 1px solid var(--line);\n1008\t}\n1009\t.badge.gewerk {\n1010\t background: #e2001a;\n1011\t color: #fff;\n1012\t border-color: #e2001a;\n1013\t}\n1014\t.badge.segment {\n1015\t background: #1f3a8a;\n1016\t color: #fff;\n1017\t border-color: #1f3a8a;\n1018\t}\n1019\t.konfidenz {\n1020\t display: flex;\n1021\t align-items: center;\n1022\t gap: 0.4rem;\n1023\t margin-top: 0.45rem;\n1024\t}\n1025\t.bar {\n1026\t flex: 1;\n1027\t height: 5px;\n1028\t border-radius: 3px;\n1029\t background: var(--line);\n1030\t overflow: hidden;\n1031\t}\n1032\t.fill {\n1033\t height: 100%;\n1034\t background: linear-gradient(90deg, #e2001a, #ff6a3d);\n1035\t}\n1036\t.kpct {\n1037\t font-size: 0.72rem;\n1038\t font-variant-numeric: tabular-nums;\n1039\t color: var(--dim);\n1040\t}\n1041\t.quelle {\n1042\t font-size: 0.68rem;\n1043\t color: var(--dim);\n1044\t}\n1045\t.aktion {\n1046\t display: flex;\n1047\t align-items: center;\n1048\t justify-content: space-between;\n1049\t gap: 0.5rem;\n1050\t margin-top: auto;\n1051\t}\n1052\t.web {\n1053\t display: block;\n1054\t margin-top: 0.45rem;\n1055\t font-size: 0.74rem;\n1056\t color: #1f3a8a;\n1057\t text-decoration: none;\n1058\t overflow: hidden;\n1059\t text-overflow: ellipsis;\n1060\t white-space: nowrap;\n1061\t max-width: 100%;\n1062\t}\n1063\t\n1064\t/* Stücklisten-Popup */\n1065\t.azeile {\n1066\t cursor: pointer;\n1067\t border-radius: 5px;\n1068\t transition: background 0.12s;\n1069\t}\n1070\t.azeile:hover {\n1071\t background: var(--anreich);\n1072\t}\n1073\t.overlay {\n1074\t position: fixed;\n1075\t inset: 0;\n1076\t z-index: 50;\n1077\t display: flex;\n1078\t align-items: center;\n1079\t justify-content: center;\n1080\t padding: 1.5rem;\n1081\t background: rgba(0, 0, 0, 0.45);\n1082\t backdrop-filter: blur(3px);\n1083\t}\n1084\t.dialog {\n1085\t width: min(860px, 100%);\n1086\t max-height: 85vh;\n1087\t display: flex;\n1088\t flex-direction: column;\n1089\t background: var(--card);\n1090\t border: 1px solid var(--line);\n1091\t border-radius: 14px;\n1092\t box-shadow: 0 24px 60px rgba(0, 0, 0, 0.35);\n1093\t overflow: hidden;\n1094\t}\n1095\t.dkopf {\n1096\t display: flex;\n1097\t align-items: flex-start;\n1098\t justify-content: space-between;\n1099\t gap: 1rem;\n1100\t padding: 1rem 1.2rem;\n1101\t border-bottom: 1px solid var(--line);\n1102\t background: var(--liefer);\n1103\t}\n1104\t.dkopf h3 {\n1105\t margin: 0 0 0.3rem;\n1106\t font-size: 1.05rem;\n1107\t}\n1108\t.dmeta {\n1109\t display: flex;\n1110\t flex-wrap: wrap;\n1111\t align-items: center;\n1112\t gap: 0.4rem 0.9rem;\n1113\t font-size: 0.8rem;\n1114\t color: var(--dim);\n1115\t}\n1116\t.dnr {\n1117\t font-weight: 600;\n1118\t color: inherit;\n1119\t font-variant-numeric: tabular-nums;\n1120\t}\n1121\t.dfzg {\n1122\t display: inline-flex;\n1123\t align-items: center;\n1124\t gap: 0.3rem;\n1125\t}\n1126\t.dfzg .fzgicon {\n1127\t width: 1.05rem;\n1128\t height: 1.05rem;\n1129\t color: #1f3a8a;\n1130\t}\n1131\t.dstate {\n1132\t padding: 0.05rem 0.5rem;\n1133\t border-radius: 999px;\n1134\t border: 1px solid var(--line);\n1135\t background: var(--field);\n1136\t font-size: 0.72rem;\n1137\t}\n1138\t.dstate.order {\n1139\t background: #11823b;\n1140\t border-color: #11823b;\n1141\t color: #fff;\n1142\t}\n1143\t.dx {\n1144\t border: none;\n1145\t background: transparent;\n1146\t font-size: 1.1rem;\n1147\t line-height: 1;\n1148\t padding: 0.3rem 0.4rem;\n1149\t color: var(--dim);\n1150\t}\n1151\t.dx:hover {\n1152\t color: #e2001a;\n1153\t}\n1154\t.dbody {\n1155\t overflow: auto;\n1156\t padding: 0.4rem 1.2rem 1.1rem;\n1157\t}\n1158\t.dinfo {\n1159\t color: var(--dim);\n1160\t padding: 1rem 0;\n1161\t}\n1162\t.stueck {\n1163\t width: 100%;\n1164\t border-collapse: collapse;\n1165\t font-size: 0.82rem;\n1166\t}\n1167\t.stueck th {\n1168\t position: sticky;\n1169\t top: 0;\n1170\t background: var(--card);\n1171\t text-align: left;\n1172\t font-size: 0.68rem;\n1173\t text-transform: uppercase;\n1174\t letter-spacing: 0.06em;\n1175\t color: var(--dim);\n1176\t padding: 0.5rem 0.5rem;\n1177\t border-bottom: 1px solid var(--line);\n1178\t}\n1179\t.stueck td {\n1180\t padding: 0.45rem 0.5rem;\n1181\t border-bottom: 1px solid var(--line);\n1182\t vertical-align: top;\n1183\t}\n1184\t.c-num {\n1185\t text-align: right;\n1186\t font-variant-numeric: tabular-nums;\n1187\t white-space: nowrap;\n1188\t}\n1189\t.c-pos {\n1190\t color: var(--dim);\n1191\t width: 2rem;\n1192\t}\n1193\t.c-art {\n1194\t font-variant-numeric: tabular-nums;\n1195\t color: var(--dim);\n1196\t white-space: nowrap;\n1197\t}\n1198\t.c-bez .bez {\n1199\t display: block;\n1200\t}\n1201\t.c-bez .mid {\n1202\t display: block;\n1203\t font-size: 0.68rem;\n1204\t color: var(--dim);\n1205\t}\n1206\t.wert {\n1207\t font-weight: 600;\n1208\t}\n1209\t.stueck tfoot td {\n1210\t border-top: 2px solid var(--line);\n1211\t border-bottom: none;\n1212\t padding-top: 0.6rem;\n1213\t font-weight: 600;\n1214\t}\n1215\t.c-sum {\n1216\t text-align: right;\n1217\t color: var(--dim);\n1218\t}\n1219\t.eurcol {\n1220\t color: var(--dim);\n1221\t}\n1222\t.dwaehrung {\n1223\t padding: 0.05rem 0.5rem;\n1224\t border-radius: 999px;\n1225\t background: #1f3a8a;\n1226\t color: #fff;\n1227\t font-size: 0.72rem;\n1228\t font-weight: 600;\n1229\t}\n1230\t.kurszeile .c-kurs {\n1231\t border-top: none;\n1232\t padding-top: 0.35rem;\n1233\t font-weight: 400;\n1234\t font-size: 0.72rem;\n1235\t color: var(--dim);\n1236\t text-align: left;\n1237\t}\n1238\t.fade-enter-active,\n1239\t.fade-leave-active {\n1240\t transition: opacity 0.15s;\n1241\t}\n1242\t.fade-enter-from,\n1243\t.fade-leave-to {\n1244\t opacity: 0;\n1245\t}\n1246\t\n1247\t/* Tab-Steuerung oben links */\n1248\t.topbar {\n1249\t justify-content: flex-start;\n1250\t}\n1251\t.tools {\n1252\t margin-left: auto;\n1253\t}\n1254\t.tabs {\n1255\t display: inline-flex;\n1256\t gap: 0.15rem;\n1257\t padding: 0.15rem;\n1258\t background: var(--field);\n1259\t border: 1px solid var(--line);\n1260\t border-radius: 9px;\n1261\t}\n1262\t.tab {\n1263\t border: none;\n1264\t background: transparent;\n1265\t padding: 0.3rem 0.85rem;\n1266\t border-radius: 7px;\n1267\t font-weight: 600;\n1268\t font-size: 0.85rem;\n1269\t color: var(--dim);\n1270\t}\n1271\t.tab.on {\n1272\t background: #e2001a;\n1273\t color: #fff;\n1274\t}\n1275\t\n1276\t/* KPI-Dashboard */\n1277\t.kpis {\n1278\t max-width: 1100px;\n1279\t margin: 0 auto;\n1280\t padding: 1.4rem;\n1281\t display: flex;\n1282\t flex-direction: column;\n1283\t gap: 1.2rem;\n1284\t}\n1285\t.statrow {\n1286\t display: grid;\n1287\t grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));\n1288\t gap: 0.7rem;\n1289\t}\n1290\t.stat {\n1291\t background: var(--card);\n1292\t border: 1px solid var(--line);\n1293\t border-radius: 12px;\n1294\t padding: 0.9rem 1rem;\n1295\t}\n1296\t.statwert {\n1297\t font-size: 1.5rem;\n1298\t font-weight: 700;\n1299\t letter-spacing: -0.02em;\n1300\t}\n1301\t.statlabel {\n1302\t font-size: 0.75rem;\n1303\t color: var(--dim);\n1304\t margin-top: 0.2rem;\n1305\t}\n1306\t.panelgrid {\n1307\t display: grid;\n1308\t grid-template-columns: repeat(auto-fit, minmax(330px, 1fr));\n1309\t gap: 0.9rem;\n1310\t}\n1311\t.panel {\n1312\t background: var(--card);\n1313\t border: 1px solid var(--line);\n1314\t border-radius: 12px;\n1315\t padding: 0.9rem 1.1rem;\n1316\t}\n1317\t.panel h3 {\n1318\t margin: 0 0 0.6rem;\n1319\t font-size: 0.95rem;\n1320\t}\n1321\t.kpiliste {\n1322\t list-style: none;\n1323\t margin: 0;\n1324\t padding: 0;\n1325\t display: flex;\n1326\t flex-direction: column;\n1327\t gap: 0.4rem;\n1328\t}\n1329\t.kpiliste li {\n1330\t display: grid;\n1331\t grid-template-columns: 7.5rem 1fr 1.8rem auto;\n1332\t align-items: center;\n1333\t gap: 0.5rem;\n1334\t font-size: 0.8rem;\n1335\t}\n1336\t.pl {\n1337\t overflow: hidden;\n1338\t text-overflow: ellipsis;\n1339\t white-space: nowrap;\n1340\t}\n1341\t.pbar {\n1342\t height: 7px;\n1343\t background: var(--line);\n1344\t border-radius: 4px;\n1345\t overflow: hidden;\n1346\t}\n1347\t.pfill {\n1348\t display: block;\n1349\t height: 100%;\n1350\t background: linear-gradient(90deg, #e2001a, #ff6a3d);\n1351\t}\n1352\t.pn {\n1353\t text-align: right;\n1354\t color: var(--dim);\n1355\t font-variant-numeric: tabular-nums;\n1356\t}\n1357\t.pv {\n1358\t text-align: right;\n1359\t font-weight: 600;\n1360\t font-variant-numeric: tabular-nums;\n1361\t white-space: nowrap;\n1362\t}\n1363\t\n1364\t/* Natursprache-Assistent */\n1365\t.fragen {\n1366\t max-width: 1100px;\n1367\t margin: 0 auto;\n1368\t padding: 1.4rem;\n1369\t display: flex;\n1370\t flex-direction: column;\n1371\t gap: 0.9rem;\n1372\t}\n1373\t.frageleiste {\n1374\t display: flex;\n1375\t gap: 0.5rem;\n1376\t}\n1377\t.frageinput {\n1378\t flex: 1;\n1379\t font-size: 0.95rem;\n1380\t}\n1381\t.fragebtn {\n1382\t background: #e2001a;\n1383\t color: #fff;\n1384\t border-color: #e2001a;\n1385\t font-weight: 600;\n1386\t padding: 0.5em 1.2em;\n1387\t}\n1388\t.fragebtn:disabled {\n1389\t opacity: 0.6;\n1390\t}\n1391\t.frageopts {\n1392\t display: flex;\n1393\t align-items: center;\n1394\t gap: 1.2rem;\n1395\t}\n1396\t.opt {\n1397\t display: inline-flex;\n1398\t align-items: center;\n1399\t gap: 0.4rem;\n1400\t font-size: 0.8rem;\n1401\t color: var(--dim);\n1402\t}\n1403\t.optlabel {\n1404\t user-select: none;\n1405\t}\n1406\t.modellsel {\n1407\t padding: 0.3em 0.6em;\n1408\t font-size: 0.8rem;\n1409\t}\n1410\t.thinkopt {\n1411\t cursor: pointer;\n1412\t}\n1413\t.thinkopt input {\n1414\t width: auto;\n1415\t margin: 0;\n1416\t accent-color: #e2001a;\n1417\t}\n1418\t.beispiele {\n1419\t display: flex;\n1420\t flex-wrap: wrap;\n1421\t gap: 0.4rem;\n1422\t}\n1423\t.beispielchip {\n1424\t font-size: 0.75rem;\n1425\t padding: 0.25rem 0.7rem;\n1426\t border-radius: 999px;\n1427\t background: var(--field);\n1428\t border: 1px solid var(--line);\n1429\t color: var(--dim);\n1430\t}\n1431\t.beispielchip:hover {\n1432\t border-color: #e2001a;\n1433\t color: #e2001a;\n1434\t}\n1435\t.airesult {\n1436\t background: var(--card);\n1437\t border: 1px solid var(--line);\n1438\t border-radius: 12px;\n1439\t padding: 1rem 1.2rem;\n1440\t}\n1441\t.airesult h3 {\n1442\t margin: 0 0 0.3rem;\n1443\t font-size: 1.05rem;\n1444\t}\n1445\t.aierkl {\n1446\t margin: 0 0 0.9rem;\n1447\t color: var(--dim);\n1448\t font-size: 0.85rem;\n1449\t}\n1450\t.aikpi {\n1451\t font-size: 2.4rem;\n1452\t font-weight: 700;\n1453\t letter-spacing: -0.02em;\n1454\t}\n1455\t.aibars {\n1456\t margin-top: 0.2rem;\n1457\t}\n1458\t.aibars li {\n1459\t grid-template-columns: minmax(7rem, 16rem) 1fr auto;\n1460\t}\n1461\t.aitable-wrap {\n1462\t overflow: auto;\n1463\t}\n1464\t.aitable {\n1465\t width: 100%;\n1466\t border-collapse: collapse;\n1467\t font-size: 0.82rem;\n1468\t}\n1469\t.aitable th {\n1470\t text-align: left;\n1471\t font-size: 0.68rem;\n1472\t text-transform: uppercase;\n1473\t letter-spacing: 0.06em;\n1474\t color: var(--dim);\n1475\t padding: 0.45rem 0.6rem;\n1476\t border-bottom: 1px solid var(--line);\n1477\t white-space: nowrap;\n1478\t}\n1479\t.aitable td {\n1480\t padding: 0.4rem 0.6rem;\n1481\t border-bottom: 1px solid var(--line);\n1482\t font-variant-numeric: tabular-nums;\n1483\t white-space: nowrap;\n1484\t}\n1485\t.sqltoggle {\n1486\t margin-top: 0.9rem;\n1487\t font-size: 0.74rem;\n1488\t background: transparent;\n1489\t border: none;\n1490\t color: #1f3a8a;\n1491\t padding: 0.2rem 0;\n1492\t}\n1493\t.aisql {\n1494\t margin: 0.4rem 0 0;\n1495\t padding: 0.7rem 0.8rem;\n1496\t background: var(--liefer);\n1497\t border: 1px solid var(--line);\n1498\t border-radius: 8px;\n1499\t font-size: 0.76rem;\n1500\t overflow: auto;\n1501\t white-space: pre-wrap;\n1502\t word-break: break-word;\n1503\t}\n1504\t</style>\n1505\t\n1506\t<style>\n1507\t:root {\n1508\t --bar: rgba(246, 246, 246, 0.8);\n1509\t --card: #ffffff;\n1510\t --field: #ffffff;\n1511\t --line: #e3e3e3;\n1512\t --dim: #6b6b6b;\n1513\t --liefer: #f4f5f7;\n1514\t --anreich: #fdf2f0;\n1515\t font-family: Inter, Avenir, Helvetica, Arial, sans-serif;\n1516\t color: #141414;\n1517\t background: #f6f6f6;\n1518\t -webkit-font-smoothing: antialiased;\n1519\t}\n1520\tbody {\n1521\t margin: 0;\n1522\t}\n1523\t@media (prefers-color-scheme: dark) {\n1524\t :root {\n1525\t --bar: rgba(28, 28, 30, 0.8);\n1526\t --card: #1c1c1e;\n1527\t --field: #2a2a2c;\n1528\t --line: #38383a;\n1529\t --dim: #9b9b9f;\n1530\t --liefer: #242427;\n1531\t --anreich: #2a1f20;\n1532\t color: #f2f2f2;\n1533\t background: #161618;\n1534\t }\n1535\t}\n1536\t</style>\n1537\t"}]},"uuid":"e3ac15e3-c2c0-45d9-9e63-959f906165fa","timestamp":"2026-07-06T08:19:23.301Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/marcus.hinz/projects/08-07/src/App.vue","content":"<script setup lang=\"ts\">\nimport { ref, computed, onMounted, onUnmounted } from \"vue\";\nimport { invoke } from \"@tauri-apps/api/core\";\nimport { openUrl } from \"@tauri-apps/plugin-opener\";\nimport { GEWERKE, LAENDER, LAND_NAMES } from \"./catalog\";\n\ninterface Kunde {\n kunde_id: number;\n name_roh: string;\n name_1: string | null;\n strasse: string | null;\n plz: string | null;\n land: string | null;\n n_auftraege: number;\n umsatz_netto: number;\n branche_text: string | null;\n gewerk: string | null;\n segment: string | null;\n mitarbeiter_kl: string | null;\n gruendungsjahr: number | null;\n rechtsform: string | null;\n website: string | null;\n ort: string | null;\n konfidenz: number | null;\n bestaetigt: number | null;\n quelle_primaer: string | null;\n}\n\ninterface Auftrag {\n kunde_id: number;\n auftrag_id: string;\n datum: string | null;\n fzg_klasse: string | null;\n fzg_hersteller: string | null;\n fzg_modell: string | null;\n fzg_groesse: string | null;\n umsatz_netto: number; // Landeswährung\n umsatz_eur: number;\n waehrung: string | null;\n wechselkurs: number | null;\n kurs_datum: string | null;\n quotation_state: string | null;\n}\n\ninterface Position {\n modul_id: string;\n artikelnummer: string | null;\n klartext: string;\n menge: number;\n einzelpreis: number;\n pos_wert: number;\n eur_wert: number;\n}\n\n// Aufbau-Cluster -> Icon (inline SVG, viewBox 0 0 24 24, stroke=currentColor)\nconst FZG_ICONS: Record<string, string> = {\n van: '<path d=\"M2 5h10v11H2z\"/><path d=\"M12 8h4.5l3.5 4v4H12z\"/><circle cx=\"6.5\" cy=\"18\" r=\"1.8\"/><circle cx=\"16.5\" cy=\"18\" r=\"1.8\"/>',\n pickup: '<path d=\"M2 8h7v6H2z\"/><path d=\"M9 11h5l4 3h2v0H9z\"/><circle cx=\"6\" cy=\"17\" r=\"1.8\"/><circle cx=\"17\" cy=\"17\" r=\"1.8\"/>',\n pkw: '<path d=\"M3 13l1.8-4.2A2 2 0 0 1 6.6 7.5h7.8a2 2 0 0 1 1.6.8L19 12l2 .6a1 1 0 0 1 .8 1V16H3z\"/><circle cx=\"7\" cy=\"16\" r=\"1.8\"/><circle cx=\"16\" cy=\"16\" r=\"1.8\"/>',\n lkw: '<path d=\"M2 6h11v9H2z\"/><path d=\"M13 9h4l4 4v2h-8z\"/><circle cx=\"6\" cy=\"17\" r=\"1.8\"/><circle cx=\"17\" cy=\"17\" r=\"1.8\"/>',\n unbekannt: '<circle cx=\"12\" cy=\"12\" r=\"9\"/><path d=\"M9.2 9.3a2.8 2.8 0 0 1 5.4 1c0 1.9-2.6 2.3-2.6 4\"/><path d=\"M12 17.2h.01\"/>',\n};\nfunction fzgIcon(kl: string | null): string {\n return FZG_ICONS[kl ?? \"unbekannt\"] ?? FZG_ICONS.unbekannt;\n}\nfunction fzgLabel(a: Auftrag): string {\n return [a.fzg_modell, a.fzg_groesse].filter(Boolean).join(\" · \") || \"kein Fahrzeug\";\n}\n\nconst kunden = ref<Kunde[]>([]);\nconst auftraege = ref<Auftrag[]>([]);\nconst selected = ref<number | null>(null);\nconst fehler = ref(\"\");\nconst activeTab = ref<\"data\" | \"kpis\" | \"fragen\">(\"data\");\nconst suche = ref(\"\");\nconst filterGewerk = ref(\"\");\nconst filterLand = ref(\"\");\nconst sortFeld = ref<keyof Kunde>(\"name_roh\");\nconst sortAuf = ref(true);\n\nconst UNBEKANNT = \"__unbekannt__\";\n\n// Einzel-Prädikate je Dimension (für Facetten-Zähler wiederverwendet)\nfunction passtGewerk(k: Kunde): boolean {\n if (!filterGewerk.value) return true;\n if (filterGewerk.value === UNBEKANNT) return !k.gewerk;\n return k.gewerk === filterGewerk.value;\n}\nfunction passtLand(k: Kunde): boolean {\n if (!filterLand.value) return true;\n if (filterLand.value === UNBEKANNT) return !k.land;\n return k.land === filterLand.value;\n}\nfunction passtSuche(k: Kunde): boolean {\n const q = suche.value.trim().toLowerCase();\n if (!q) return true;\n return [k.name_roh, k.ort, k.branche_text, k.gewerk]\n .filter(Boolean)\n .some((f) => (f as string).toLowerCase().includes(q));\n}\n\n// Filteroptionen: Anzahl auf Basis der jeweils ANDEREN aktiven Filter (faceted)\nconst gewerkOptionen = computed(() => {\n const base = kunden.value.filter((k) => passtLand(k) && passtSuche(k));\n const c = new Map<string, number>();\n let unk = 0;\n for (const k of base) k.gewerk ? c.set(k.gewerk, (c.get(k.gewerk) ?? 0) + 1) : unk++;\n const opts = GEWERKE.filter((g) => c.has(g)).map((g) => ({\n wert: g as string,\n label: `${g} (${c.get(g)})`,\n }));\n if (unk) opts.push({ wert: UNBEKANNT, label: `Unbekannt (${unk})` });\n return opts;\n});\nconst landOptionen = computed(() => {\n const base = kunden.value.filter((k) => passtGewerk(k) && passtSuche(k));\n const c = new Map<string, number>();\n let unk = 0;\n for (const k of base) k.land ? c.set(k.land, (c.get(k.land) ?? 0) + 1) : unk++;\n const opts = LAENDER.filter((l) => c.has(l)).map((l) => ({\n wert: l as string,\n label: `${LAND_NAMES[l] ?? l} (${c.get(l)})`,\n }));\n if (unk) opts.push({ wert: UNBEKANNT, label: `Unbekannt (${unk})` });\n return opts;\n});\n\nconst sortOptionen: { feld: keyof Kunde; label: string }[] = [\n { feld: \"name_roh\", label: \"Name\" },\n { feld: \"ort\", label: \"Ort\" },\n { feld: \"gewerk\", label: \"Gewerk\" },\n { feld: \"segment\", label: \"Segment\" },\n { feld: \"konfidenz\", label: \"Konfidenz\" },\n { feld: \"n_auftraege\", label: \"Aufträge\" },\n { feld: \"umsatz_netto\", label: \"Umsatz\" },\n { feld: \"bestaetigt\", label: \"Bestätigt\" },\n];\n\nconst eur = new Intl.NumberFormat(\"de-DE\", {\n style: \"currency\",\n currency: \"EUR\",\n maximumFractionDigits: 0,\n});\nconst eur2 = new Intl.NumberFormat(\"de-DE\", {\n style: \"currency\",\n currency: \"EUR\",\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n});\n\n// währungsbewusste Formatierung (gecacht je Währung/Nachkommastellen)\nconst curFmt = new Map<string, Intl.NumberFormat>();\nfunction fmtCur(v: number, cur: string | null, frac = 2): string {\n const c = cur || \"EUR\";\n const key = `${c}_${frac}`;\n let f = curFmt.get(key);\n if (!f) {\n f = new Intl.NumberFormat(\"de-DE\", {\n style: \"currency\",\n currency: c,\n currencyDisplay: \"narrowSymbol\",\n minimumFractionDigits: frac,\n maximumFractionDigits: frac,\n });\n curFmt.set(key, f);\n }\n return f.format(v);\n}\n// Kurs als \"1 EUR = 11,0465 NOK\"\nconst kursFmt = new Intl.NumberFormat(\"de-DE\", {\n minimumFractionDigits: 2,\n maximumFractionDigits: 4,\n});\n\n// Stücklisten-Popup\nconst offenerAuftrag = ref<Auftrag | null>(null);\nconst positionen = ref<Position[]>([]);\nconst ladePos = ref(false);\nconst fehlerPos = ref(\"\");\n\nconst kundeById = computed(() => {\n const m = new Map<number, Kunde>();\n for (const k of kunden.value) m.set(k.kunde_id, k);\n return m;\n});\n\nconst posSumme = computed(() =>\n positionen.value.reduce((s, p) => s + p.pos_wert, 0),\n);\nconst posSummeEur = computed(() =>\n positionen.value.reduce((s, p) => s + p.eur_wert, 0),\n);\nconst istFremdwaehrung = computed(\n () => !!offenerAuftrag.value && offenerAuftrag.value.waehrung !== \"EUR\",\n);\n\nasync function openAuftrag(a: Auftrag) {\n offenerAuftrag.value = a;\n positionen.value = [];\n fehlerPos.value = \"\";\n ladePos.value = true;\n try {\n positionen.value = await invoke<Position[]>(\"list_positionen\", {\n auftragId: a.auftrag_id,\n });\n } catch (e) {\n fehlerPos.value = String(e);\n } finally {\n ladePos.value = false;\n }\n}\n\nfunction closeAuftrag() {\n offenerAuftrag.value = null;\n}\n\nfunction onKey(e: KeyboardEvent) {\n if (e.key === \"Escape\") closeAuftrag();\n}\nonMounted(() => window.addEventListener(\"keydown\", onKey));\nonUnmounted(() => window.removeEventListener(\"keydown\", onKey));\n\nonMounted(async () => {\n try {\n kunden.value = await invoke<Kunde[]>(\"list_kunden_360\");\n auftraege.value = await invoke<Auftrag[]>(\"list_auftraege\");\n } catch (e) {\n fehler.value = String(e);\n }\n});\n\nconst bestaetigtCount = computed(\n () => kunden.value.filter((k) => k.bestaetigt === 1).length,\n);\n\nconst auftraegeByKunde = computed(() => {\n const m = new Map<number, Auftrag[]>();\n for (const a of auftraege.value) {\n (m.get(a.kunde_id) ?? m.set(a.kunde_id, []).get(a.kunde_id)!).push(a);\n }\n return m;\n});\n\nfunction toggle(id: number) {\n selected.value = selected.value === id ? null : id;\n}\n\nconst gefiltert = computed(() => {\n const list = kunden.value.filter(\n (k) => passtGewerk(k) && passtLand(k) && passtSuche(k),\n );\n const feld = sortFeld.value;\n const dir = sortAuf.value ? 1 : -1;\n return [...list].sort((a, b) => {\n const va = a[feld];\n const vb = b[feld];\n if (va === null || va === undefined) return 1;\n if (vb === null || vb === undefined) return -1;\n if (typeof va === \"number\" && typeof vb === \"number\") return (va - vb) * dir;\n return String(va).localeCompare(String(vb), \"de\") * dir;\n });\n});\n\n// ---- KPIs (aus den bereits geladenen Daten) ----\ninterface Bucket {\n key: string;\n anzahl: number;\n umsatz: number;\n}\nfunction gruppieren<T>(\n arr: T[],\n keyFn: (x: T) => string | null,\n valFn: (x: T) => number,\n): Bucket[] {\n const m = new Map<string, Bucket>();\n for (const x of arr) {\n const key = keyFn(x) || \"unbekannt\";\n const e = m.get(key) ?? { key, anzahl: 0, umsatz: 0 };\n e.anzahl += 1;\n e.umsatz += valFn(x) || 0;\n m.set(key, e);\n }\n return [...m.values()].sort((a, b) => b.umsatz - a.umsatz);\n}\n\nconst kpis = computed(() => {\n const ks = kunden.value;\n const as = auftraege.value;\n const umsatz = ks.reduce((s, k) => s + (k.umsatz_netto || 0), 0);\n const bestaetigt = ks.filter((k) => k.bestaetigt === 1).length;\n const orders = as.filter((a) => a.quotation_state === \"order\").length;\n return {\n nKunden: ks.length,\n nAuftraege: as.length,\n umsatz,\n avg: as.length ? umsatz / as.length : 0,\n bestaetigtPct: ks.length ? Math.round((100 * bestaetigt) / ks.length) : 0,\n ordersPct: as.length ? Math.round((100 * orders) / as.length) : 0,\n gewerk: gruppieren(ks, (k) => k.gewerk, (k) => k.umsatz_netto),\n land: gruppieren(ks, (k) => k.land, (k) => k.umsatz_netto),\n segment: gruppieren(ks, (k) => k.segment, (k) => k.umsatz_netto),\n waehrung: gruppieren(as, (a) => a.waehrung, (a) => a.umsatz_eur),\n fzg: gruppieren(as, (a) => a.fzg_klasse, (a) => a.umsatz_eur),\n };\n});\n\nconst kpiPanels = computed(() => [\n { titel: \"Umsatz je Gewerk\", rows: kpis.value.gewerk, land: false },\n { titel: \"Umsatz je Land\", rows: kpis.value.land, land: true },\n { titel: \"Umsatz je Segment\", rows: kpis.value.segment, land: false },\n { titel: \"Aufträge je Währung (EUR-Umsatz)\", rows: kpis.value.waehrung, land: false },\n { titel: \"Umsatz je Fahrzeugklasse\", rows: kpis.value.fzg, land: false },\n]);\n\nfunction balken(v: number, rows: Bucket[]): string {\n const max = Math.max(1, ...rows.map((r) => r.umsatz));\n return Math.round((100 * v) / max) + \"%\";\n}\nfunction panelLabel(key: string, land: boolean): string {\n if (land) return LAND_NAMES[key] ?? (key === \"unbekannt\" ? \"Unbekannt\" : key);\n return key === \"unbekannt\" ? \"Unbekannt\" : key;\n}\n\n// ---- Natursprache-Assistent (frage_ai) ----\ntype Zelle = string | number | null;\ninterface AiAntwort {\n frage: string;\n sql: string;\n chart: string; // kpi | bar | table\n label: string | null;\n value: string | null;\n titel: string;\n erklaerung: string;\n columns: string[];\n rows: Zelle[][];\n}\n\nconst aiFrage = ref(\"\");\nconst aiAntwort = ref<AiAntwort | null>(null);\nconst aiLaden = ref(false);\nconst aiFehler = ref(\"\");\nconst aiSqlOffen = ref(false);\nconst aiModell = ref(\"claude-sonnet-5\");\nconst aiThinking = ref(false);\nconst aiModelle = [\n { id: \"claude-sonnet-5\", label: \"Sonnet 5\" },\n { id: \"claude-opus-4-8\", label: \"Opus 4.8\" },\n { id: \"claude-haiku-4-5\", label: \"Haiku 4.5\" },\n];\nconst aiBeispiele = [\n \"Umsatz je Gewerk\",\n \"Top 10 Kunden nach Umsatz\",\n \"Gesamtumsatz in Euro\",\n \"Anzahl Aufträge je Land\",\n \"Durchschnittlicher Auftragswert je Segment\",\n];\n\nconst numFmt = new Intl.NumberFormat(\"de-DE\", { maximumFractionDigits: 2 });\nfunction zelle(v: Zelle): string {\n if (v === null || v === undefined) return \"—\";\n return typeof v === \"number\" ? numFmt.format(v) : v;\n}\nfunction spaltenIndex(a: AiAntwort, name: string | null): number {\n return name ? a.columns.indexOf(name) : -1;\n}\n\nasync function fragen(text?: string) {\n const f = (text ?? aiFrage.value).trim();\n if (!f) return;\n aiFrage.value = f;\n aiLaden.value = true;\n aiFehler.value = \"\";\n aiAntwort.value = null;\n aiSqlOffen.value = false;\n try {\n aiAntwort.value = await invoke<AiAntwort>(\"frage_ai\", {\n frage: f,\n modell: aiModell.value,\n thinking: aiThinking.value,\n });\n } catch (e) {\n aiFehler.value = String(e);\n } finally {\n aiLaden.value = false;\n }\n}\n\nconst aiKpi = computed(() => {\n const a = aiAntwort.value;\n if (!a || a.chart !== \"kpi\" || !a.rows.length) return null;\n const vi = spaltenIndex(a, a.value);\n return zelle(a.rows[0][vi >= 0 ? vi : 0]);\n});\nconst aiBars = computed(() => {\n const a = aiAntwort.value;\n if (!a || a.chart !== \"bar\") return [];\n const li = spaltenIndex(a, a.label);\n const vi = spaltenIndex(a, a.value);\n if (vi < 0) return [];\n const rows = a.rows.map((r) => ({\n label: li >= 0 ? zelle(r[li]) : \"\",\n value: Number(r[vi]) || 0,\n }));\n const max = Math.max(1, ...rows.map((r) => r.value));\n return rows.map((r) => ({ ...r, pct: Math.round((100 * r.value) / max) + \"%\" }));\n});\n\n</script>\n\n<template>\n <header class=\"topbar\">\n <nav class=\"tabs\" role=\"tablist\">\n <button\n class=\"tab\"\n :class=\"{ on: activeTab === 'data' }\"\n @click=\"activeTab = 'data'\"\n >\n Data\n </button>\n <button\n class=\"tab\"\n :class=\"{ on: activeTab === 'kpis' }\"\n @click=\"activeTab = 'kpis'\"\n >\n KPIs\n </button>\n <button\n class=\"tab\"\n :class=\"{ on: activeTab === 'fragen' }\"\n @click=\"activeTab = 'fragen'\"\n >\n Fragen\n </button>\n </nav>\n <div class=\"titel\">\n <h1>{{ activeTab === \"kpis\" ? \"KPIs\" : \"Kundenstamm\" }}</h1>\n <span class=\"sub\"\n >geliefert &amp; angereichert ·\n {{ gefiltert.length }}<template v-if=\"gefiltert.length !== kunden.length\">/{{ kunden.length }}</template>\n Kunden · {{ bestaetigtCount }} bestätigt</span\n >\n </div>\n <div class=\"tools\" v-show=\"activeTab === 'data'\">\n <span class=\"filterbox\" :class=\"{ aktiv: filterGewerk }\">\n <svg class=\"trichter\" viewBox=\"0 0 24 24\" aria-hidden=\"true\">\n <path d=\"M3 5h18l-7 8v6l-4 2v-8z\" />\n </svg>\n <select v-model=\"filterGewerk\" class=\"filter\" title=\"Branche filtern\">\n <option value=\"\">Alle Branchen</option>\n <option v-for=\"o in gewerkOptionen\" :key=\"o.wert\" :value=\"o.wert\">\n {{ o.label }}\n </option>\n </select>\n </span>\n <span class=\"filterbox\" :class=\"{ aktiv: filterLand }\">\n <svg class=\"trichter\" viewBox=\"0 0 24 24\" aria-hidden=\"true\">\n <path d=\"M3 5h18l-7 8v6l-4 2v-8z\" />\n </svg>\n <select v-model=\"filterLand\" class=\"filter\" title=\"Land filtern\">\n <option value=\"\">Alle Länder</option>\n <option v-for=\"o in landOptionen\" :key=\"o.wert\" :value=\"o.wert\">\n {{ o.label }}\n </option>\n </select>\n </span>\n <input\n v-model=\"suche\"\n class=\"suche\"\n type=\"search\"\n placeholder=\"Suche Name, Ort, Branche…\"\n />\n <span class=\"sortbox\">\n <select v-model=\"sortFeld\" class=\"sort\" title=\"Sortierfeld\">\n <option v-for=\"o in sortOptionen\" :key=\"o.feld\" :value=\"o.feld\">\n Sortierung: {{ o.label }}\n </option>\n </select>\n <button class=\"dir\" @click=\"sortAuf = !sortAuf\" :title=\"sortAuf ? 'aufsteigend' : 'absteigend'\">\n {{ sortAuf ? \"↑\" : \"↓\" }}\n </button>\n </span>\n </div>\n </header>\n\n <p v-if=\"fehler\" class=\"fehler\">{{ fehler }}</p>\n\n <main class=\"grid\" v-show=\"activeTab === 'data'\">\n <article\n v-for=\"k in gefiltert\"\n :key=\"k.kunde_id\"\n class=\"karte\"\n :class=\"{ aktiv: selected === k.kunde_id }\"\n @click=\"toggle(k.kunde_id)\"\n >\n <div class=\"links\">\n <div class=\"kopf\">\n <h2>{{ k.name_roh }}</h2>\n <span v-if=\"k.bestaetigt === 1\" class=\"ok\" title=\"über Sitz/HR bestätigt\">✓</span>\n <span v-else class=\"unb\" title=\"unbestätigt\">?</span>\n </div>\n <section class=\"block geliefert\">\n <span class=\"herkunft\">geliefert</span>\n <div class=\"zeile\" v-if=\"k.strasse\">{{ k.strasse }}</div>\n <div class=\"zeile\">{{ [k.plz, k.ort].filter(Boolean).join(\" \") }}{{ k.land ? \" · \" + k.land : \"\" }}</div>\n <div class=\"zeile kennzahl\">\n {{ k.n_auftraege }} {{ k.n_auftraege === 1 ? \"Auftrag\" : \"Aufträge\" }}\n · {{ eur.format(k.umsatz_netto) }}\n </div>\n </section>\n </div>\n\n <section class=\"block angereichert\">\n <span class=\"herkunft\">angereichert</span>\n <div class=\"badges\">\n <span v-if=\"k.gewerk\" class=\"badge gewerk\">{{ k.gewerk }}</span>\n <span v-if=\"k.segment\" class=\"badge segment\">{{ k.segment }}</span>\n <span v-if=\"k.mitarbeiter_kl\" class=\"badge\">{{ k.mitarbeiter_kl }} MA</span>\n <span v-if=\"k.gruendungsjahr\" class=\"badge\">gegr. {{ k.gruendungsjahr }}</span>\n </div>\n <div class=\"zeile branche\" v-if=\"k.branche_text\">{{ k.branche_text }}</div>\n <div class=\"konfidenz\" v-if=\"k.konfidenz !== null\">\n <div class=\"bar\"><div class=\"fill\" :style=\"{ width: Math.round(k.konfidenz * 100) + '%' }\"></div></div>\n <span class=\"kpct\">{{ Math.round(k.konfidenz * 100) }}%</span>\n <span v-if=\"k.quelle_primaer\" class=\"quelle\">{{ k.quelle_primaer }}</span>\n </div>\n <a v-if=\"k.website\" :href=\"k.website\" @click.prevent.stop=\"openUrl(k.website!)\" class=\"web\">{{ k.website }}</a>\n </section>\n\n <section v-if=\"selected === k.kunde_id\" class=\"block auftraege\">\n <span class=\"herkunft\">Aufträge ({{ (auftraegeByKunde.get(k.kunde_id) ?? []).length }})</span>\n <ul class=\"aliste\">\n <li\n v-for=\"a in auftraegeByKunde.get(k.kunde_id) ?? []\"\n :key=\"a.auftrag_id\"\n class=\"azeile\"\n @click.stop=\"openAuftrag(a)\"\n title=\"Stückliste öffnen\"\n >\n <span class=\"adat\">{{ a.datum ?? \"—\" }}</span>\n <span class=\"afzg\" :class=\"{ leer: a.fzg_klasse === 'unbekannt' || !a.fzg_klasse }\">\n <svg\n class=\"fzgicon\"\n viewBox=\"0 0 24 24\"\n fill=\"none\"\n stroke=\"currentColor\"\n stroke-width=\"1.5\"\n stroke-linecap=\"round\"\n stroke-linejoin=\"round\"\n v-html=\"fzgIcon(a.fzg_klasse)\"\n :aria-label=\"a.fzg_klasse ?? 'unbekannt'\"\n ></svg>\n <span class=\"ftxt\">{{ fzgLabel(a) }}</span>\n </span>\n <span class=\"aval\">{{ fmtCur(a.umsatz_netto, a.waehrung, 0) }}</span>\n </li>\n </ul>\n </section>\n </article>\n </main>\n\n <section class=\"kpis\" v-show=\"activeTab === 'kpis'\">\n <div class=\"statrow\">\n <div class=\"stat\">\n <div class=\"statwert\">{{ kpis.nKunden }}</div>\n <div class=\"statlabel\">Kunden</div>\n </div>\n <div class=\"stat\">\n <div class=\"statwert\">{{ kpis.nAuftraege }}</div>\n <div class=\"statlabel\">Aufträge</div>\n </div>\n <div class=\"stat\">\n <div class=\"statwert\">{{ eur.format(kpis.umsatz) }}</div>\n <div class=\"statlabel\">Umsatz (EUR-normiert)</div>\n </div>\n <div class=\"stat\">\n <div class=\"statwert\">{{ eur.format(kpis.avg) }}</div>\n <div class=\"statlabel\">Ø Auftragswert</div>\n </div>\n <div class=\"stat\">\n <div class=\"statwert\">{{ kpis.ordersPct }}%</div>\n <div class=\"statlabel\">Auftrag (vs. Angebot)</div>\n </div>\n <div class=\"stat\">\n <div class=\"statwert\">{{ kpis.bestaetigtPct }}%</div>\n <div class=\"statlabel\">Branche bestätigt</div>\n </div>\n </div>\n\n <div class=\"panelgrid\">\n <article v-for=\"p in kpiPanels\" :key=\"p.titel\" class=\"panel\">\n <h3>{{ p.titel }}</h3>\n <ul class=\"kpiliste\">\n <li v-for=\"r in p.rows\" :key=\"r.key\">\n <span class=\"pl\">{{ panelLabel(r.key, p.land) }}</span>\n <span class=\"pbar\"><span class=\"pfill\" :style=\"{ width: balken(r.umsatz, p.rows) }\"></span></span>\n <span class=\"pn\">{{ r.anzahl }}</span>\n <span class=\"pv\">{{ eur.format(r.umsatz) }}</span>\n </li>\n </ul>\n </article>\n </div>\n </section>\n\n <section class=\"fragen\" v-show=\"activeTab === 'fragen'\">\n <div class=\"frageleiste\">\n <label class=\"opt\">\n <span class=\"optlabel\">Modell</span>\n <select v-model=\"aiModell\" class=\"modellsel\">\n <option v-for=\"m in aiModelle\" :key=\"m.id\" :value=\"m.id\">{{ m.label }}</option>\n </select>\n </label>\n <label class=\"opt thinkopt\">\n <input type=\"checkbox\" v-model=\"aiThinking\" />\n <span class=\"optlabel\">Thinking</span>\n </label>\n <input\n v-model=\"aiFrage\"\n class=\"frageinput\"\n type=\"text\"\n placeholder=\"Frag die Daten … z. B. Umsatz je Gewerk, oder Top 10 Kunden nach Umsatz\"\n @keyup.enter=\"fragen()\"\n />\n <button class=\"fragebtn\" @click=\"fragen()\" :disabled=\"aiLaden\">\n {{ aiLaden ? \"…\" : \"Fragen\" }}\n </button>\n </div>\n <div class=\"beispiele\">\n <button\n v-for=\"b in aiBeispiele\"\n :key=\"b\"\n class=\"beispielchip\"\n @click=\"fragen(b)\"\n >\n {{ b }}\n </button>\n </div>\n\n <p v-if=\"aiFehler\" class=\"fehler\">{{ aiFehler }}</p>\n\n <article v-if=\"aiAntwort\" class=\"airesult\">\n <h3>{{ aiAntwort.titel || aiAntwort.frage }}</h3>\n <p v-if=\"aiAntwort.erklaerung\" class=\"aierkl\">{{ aiAntwort.erklaerung }}</p>\n\n <div v-if=\"aiAntwort.chart === 'kpi'\" class=\"aikpi\">{{ aiKpi }}</div>\n\n <ul v-else-if=\"aiAntwort.chart === 'bar' && aiBars.length\" class=\"kpiliste aibars\">\n <li v-for=\"(r, i) in aiBars\" :key=\"i\">\n <span class=\"pl\">{{ r.label }}</span>\n <span class=\"pbar\"><span class=\"pfill\" :style=\"{ width: r.pct }\"></span></span>\n <span class=\"pv\">{{ numFmt.format(r.value) }}</span>\n </li>\n </ul>\n\n <div v-else class=\"aitable-wrap\">\n <table class=\"aitable\">\n <thead>\n <tr><th v-for=\"c in aiAntwort.columns\" :key=\"c\">{{ c }}</th></tr>\n </thead>\n <tbody>\n <tr v-for=\"(row, ri) in aiAntwort.rows\" :key=\"ri\">\n <td v-for=\"(cell, ci) in row\" :key=\"ci\">{{ zelle(cell) }}</td>\n </tr>\n </tbody>\n </table>\n </div>\n\n <button class=\"sqltoggle\" @click=\"aiSqlOffen = !aiSqlOffen\">\n {{ aiSqlOffen ? \"SQL ausblenden\" : \"SQL anzeigen\" }}\n </button>\n <pre v-if=\"aiSqlOffen\" class=\"aisql\">{{ aiAntwort.sql }}</pre>\n </article>\n </section>\n\n <transition name=\"fade\">\n <div v-if=\"offenerAuftrag\" class=\"overlay\" @click.self=\"closeAuftrag\">\n <div class=\"dialog\" role=\"dialog\" aria-modal=\"true\">\n <header class=\"dkopf\">\n <div>\n <h3>Stückliste</h3>\n <div class=\"dmeta\">\n <span class=\"dnr\">{{ offenerAuftrag.auftrag_id.replace(/^export_/, \"\") }}</span>\n <span>{{ offenerAuftrag.datum ?? \"—\" }}</span>\n <span>{{ kundeById.get(offenerAuftrag.kunde_id)?.name_roh }}</span>\n <span class=\"dfzg\">\n <svg\n class=\"fzgicon\"\n viewBox=\"0 0 24 24\"\n fill=\"none\"\n stroke=\"currentColor\"\n stroke-width=\"1.5\"\n stroke-linecap=\"round\"\n stroke-linejoin=\"round\"\n v-html=\"fzgIcon(offenerAuftrag.fzg_klasse)\"\n ></svg>\n {{ fzgLabel(offenerAuftrag) }}\n </span>\n <span\n v-if=\"offenerAuftrag.quotation_state\"\n class=\"dstate\"\n :class=\"{ order: offenerAuftrag.quotation_state === 'order' }\"\n >{{ offenerAuftrag.quotation_state === \"order\" ? \"Auftrag\" : offenerAuftrag.quotation_state }}</span>\n <span v-if=\"offenerAuftrag.waehrung\" class=\"dwaehrung\">{{ offenerAuftrag.waehrung }}</span>\n </div>\n </div>\n <button class=\"dx\" @click=\"closeAuftrag\" aria-label=\"Schließen\">✕</button>\n </header>\n\n <div class=\"dbody\">\n <p v-if=\"ladePos\" class=\"dinfo\">lädt…</p>\n <p v-else-if=\"fehlerPos\" class=\"fehler\">{{ fehlerPos }}</p>\n <table v-else class=\"stueck\">\n <thead>\n <tr>\n <th class=\"c-pos\">#</th>\n <th class=\"c-bez\">Bezeichnung</th>\n <th class=\"c-art\">Artikel-Nr.</th>\n <th class=\"c-num\">Menge</th>\n <th class=\"c-num\">Einzelpreis</th>\n <th class=\"c-num\">Wert</th>\n <th v-if=\"istFremdwaehrung\" class=\"c-num\">EUR</th>\n </tr>\n </thead>\n <tbody>\n <tr v-for=\"(p, idx) in positionen\" :key=\"p.modul_id\">\n <td class=\"c-pos\">{{ idx + 1 }}</td>\n <td class=\"c-bez\">\n <span class=\"bez\">{{ p.klartext }}</span>\n <span class=\"mid\">{{ p.modul_id }}</span>\n </td>\n <td class=\"c-art\">{{ p.artikelnummer ?? \"—\" }}</td>\n <td class=\"c-num\">{{ p.menge }}</td>\n <td class=\"c-num\">{{ fmtCur(p.einzelpreis, offenerAuftrag!.waehrung) }}</td>\n <td class=\"c-num wert\">{{ fmtCur(p.pos_wert, offenerAuftrag!.waehrung) }}</td>\n <td v-if=\"istFremdwaehrung\" class=\"c-num eurcol\">{{ eur2.format(p.eur_wert) }}</td>\n </tr>\n </tbody>\n <tfoot>\n <tr>\n <td colspan=\"5\" class=\"c-sum\">Summe Positionen ({{ positionen.length }})</td>\n <td class=\"c-num wert\">{{ fmtCur(posSumme, offenerAuftrag!.waehrung) }}</td>\n <td v-if=\"istFremdwaehrung\" class=\"c-num wert eurcol\">{{ eur2.format(posSummeEur) }}</td>\n </tr>\n <tr v-if=\"istFremdwaehrung\" class=\"kurszeile\">\n <td :colspan=\"7\" class=\"c-kurs\">\n Kurs: 1 EUR = {{ kursFmt.format(offenerAuftrag!.wechselkurs!) }}\n {{ offenerAuftrag!.waehrung }}\n · Abschlusstag {{ offenerAuftrag!.kurs_datum }} · EZB-Referenzkurs\n </td>\n </tr>\n </tfoot>\n </table>\n </div>\n </div>\n </div>\n </transition>\n</template>\n\n<style scoped>\n.topbar {\n position: sticky;\n top: 0;\n z-index: 5;\n display: flex;\n align-items: center;\n justify-content: space-between;\n gap: 1rem;\n padding: 0.9rem 1.4rem;\n background: var(--bar);\n border-bottom: 1px solid var(--line);\n backdrop-filter: blur(8px);\n}\n.titel h1 {\n margin: 0;\n font-size: 1.25rem;\n letter-spacing: -0.01em;\n}\n.titel .sub {\n font-size: 0.8rem;\n color: var(--dim);\n}\n.tools {\n display: flex;\n gap: 0.5rem;\n}\n.suche {\n width: 16rem;\n max-width: 40vw;\n}\ninput,\nselect,\nbutton {\n border-radius: 8px;\n border: 1px solid var(--line);\n padding: 0.5em 0.8em;\n font: inherit;\n color: inherit;\n background: var(--field);\n}\nbutton {\n cursor: pointer;\n}\n.dir {\n width: 2.6rem;\n font-weight: 600;\n}\n/* Filter (blau, mit Trichter) — Box = Bedienelement, Icon + Select darin */\n.filterbox {\n display: inline-flex;\n align-items: center;\n gap: 0.4rem;\n padding-left: 0.65rem;\n border: 1px solid #c3ccec;\n border-radius: 8px;\n background: #eef1fb;\n}\n.filterbox .trichter {\n width: 0.95rem;\n height: 0.95rem;\n flex: 0 0 auto;\n fill: #1f3a8a;\n}\n.filterbox select.filter {\n border: none;\n background: transparent;\n padding-left: 0;\n color: #1f3a8a;\n font-weight: 500;\n}\n.filterbox.aktiv {\n background: #1f3a8a;\n border-color: #1f3a8a;\n}\n.filterbox.aktiv .trichter {\n fill: #fff;\n}\n.filterbox.aktiv select.filter {\n color: #fff;\n}\n.sortbox {\n display: inline-flex;\n gap: 0.5rem;\n}\n.fehler {\n margin: 1rem 1.4rem;\n color: #e2001a;\n}\n.grid {\n display: flex;\n flex-direction: column;\n gap: 0.6rem;\n padding: 1.4rem;\n max-width: 1100px;\n margin: 0 auto;\n}\n.karte {\n display: flex;\n flex-direction: row;\n align-items: stretch;\n gap: 1rem;\n padding: 0.85rem 1.1rem;\n border: 1px solid var(--line);\n border-radius: 12px;\n background: var(--card);\n box-shadow: 0 1px 2px rgba(0, 0, 0, 0.04);\n cursor: pointer;\n transition: border-color 0.15s, box-shadow 0.15s;\n}\n.karte:hover {\n border-color: #c9c9c9;\n}\n.karte.aktiv {\n border-color: #e2001a;\n box-shadow: 0 0 0 1px #e2001a;\n}\n.links {\n flex: 0 0 19rem;\n display: flex;\n flex-direction: column;\n gap: 0.5rem;\n}\n.angereichert {\n flex: 1;\n}\n.auftraege {\n flex: 0 0 17rem;\n border-left: 1px solid var(--line);\n padding-left: 0.9rem;\n}\n.aliste {\n list-style: none;\n margin: 0.2rem 0 0;\n padding: 0;\n display: flex;\n flex-direction: column;\n gap: 0.2rem;\n}\n.aliste li {\n display: grid;\n grid-template-columns: 5.2rem 1fr auto;\n gap: 0.5rem;\n align-items: baseline;\n font-size: 0.78rem;\n padding: 0.18rem 0;\n border-bottom: 1px solid var(--line);\n}\n.adat {\n font-variant-numeric: tabular-nums;\n color: var(--dim);\n}\n.afzg {\n display: flex;\n align-items: center;\n gap: 0.35rem;\n min-width: 0;\n}\n.fzgicon {\n width: 1.15rem;\n height: 1.15rem;\n flex: 0 0 auto;\n color: #1f3a8a;\n}\n.ftxt {\n overflow: hidden;\n text-overflow: ellipsis;\n white-space: nowrap;\n}\n.afzg.leer {\n color: var(--dim);\n}\n.afzg.leer .fzgicon {\n color: var(--dim);\n opacity: 0.6;\n}\n.aval {\n font-variant-numeric: tabular-nums;\n font-weight: 600;\n text-align: right;\n}\n@media (max-width: 720px) {\n .karte {\n flex-direction: column;\n }\n .links {\n flex-basis: auto;\n }\n}\n.kopf {\n display: flex;\n align-items: flex-start;\n justify-content: space-between;\n gap: 0.5rem;\n}\n.kopf h2 {\n margin: 0;\n font-size: 1.02rem;\n line-height: 1.25;\n}\n.ok {\n color: #11823b;\n font-weight: 700;\n}\n.unb {\n color: var(--dim);\n font-weight: 700;\n}\n.block {\n position: relative;\n padding: 0.55rem 0.65rem 0.5rem;\n border-radius: 10px;\n}\n.geliefert {\n background: var(--liefer);\n}\n.angereichert {\n background: var(--anreich);\n}\n.herkunft {\n display: block;\n font-size: 0.62rem;\n text-transform: uppercase;\n letter-spacing: 0.09em;\n color: var(--dim);\n margin-bottom: 0.25rem;\n}\n.zeile {\n font-size: 0.86rem;\n line-height: 1.35;\n}\n.kennzahl {\n margin-top: 0.15rem;\n font-weight: 600;\n}\n.branche {\n margin-top: 0.3rem;\n color: var(--dim);\n}\n.badges {\n display: flex;\n flex-wrap: wrap;\n gap: 0.3rem;\n}\n.badge {\n font-size: 0.72rem;\n padding: 0.12rem 0.5rem;\n border-radius: 999px;\n background: var(--field);\n border: 1px solid var(--line);\n}\n.badge.gewerk {\n background: #e2001a;\n color: #fff;\n border-color: #e2001a;\n}\n.badge.segment {\n background: #1f3a8a;\n color: #fff;\n border-color: #1f3a8a;\n}\n.konfidenz {\n display: flex;\n align-items: center;\n gap: 0.4rem;\n margin-top: 0.45rem;\n}\n.bar {\n flex: 1;\n height: 5px;\n border-radius: 3px;\n background: var(--line);\n overflow: hidden;\n}\n.fill {\n height: 100%;\n background: linear-gradient(90deg, #e2001a, #ff6a3d);\n}\n.kpct {\n font-size: 0.72rem;\n font-variant-numeric: tabular-nums;\n color: var(--dim);\n}\n.quelle {\n font-size: 0.68rem;\n color: var(--dim);\n}\n.aktion {\n display: flex;\n align-items: center;\n justify-content: space-between;\n gap: 0.5rem;\n margin-top: auto;\n}\n.web {\n display: block;\n margin-top: 0.45rem;\n font-size: 0.74rem;\n color: #1f3a8a;\n text-decoration: none;\n overflow: hidden;\n text-overflow: ellipsis;\n white-space: nowrap;\n max-width: 100%;\n}\n\n/* Stücklisten-Popup */\n.azeile {\n cursor: pointer;\n border-radius: 5px;\n transition: background 0.12s;\n}\n.azeile:hover {\n background: var(--anreich);\n}\n.overlay {\n position: fixed;\n inset: 0;\n z-index: 50;\n display: flex;\n align-items: center;\n justify-content: center;\n padding: 1.5rem;\n background: rgba(0, 0, 0, 0.45);\n backdrop-filter: blur(3px);\n}\n.dialog {\n width: min(860px, 100%);\n max-height: 85vh;\n display: flex;\n flex-direction: column;\n background: var(--card);\n border: 1px solid var(--line);\n border-radius: 14px;\n box-shadow: 0 24px 60px rgba(0, 0, 0, 0.35);\n overflow: hidden;\n}\n.dkopf {\n display: flex;\n align-items: flex-start;\n justify-content: space-between;\n gap: 1rem;\n padding: 1rem 1.2rem;\n border-bottom: 1px solid var(--line);\n background: var(--liefer);\n}\n.dkopf h3 {\n margin: 0 0 0.3rem;\n font-size: 1.05rem;\n}\n.dmeta {\n display: flex;\n flex-wrap: wrap;\n align-items: center;\n gap: 0.4rem 0.9rem;\n font-size: 0.8rem;\n color: var(--dim);\n}\n.dnr {\n font-weight: 600;\n color: inherit;\n font-variant-numeric: tabular-nums;\n}\n.dfzg {\n display: inline-flex;\n align-items: center;\n gap: 0.3rem;\n}\n.dfzg .fzgicon {\n width: 1.05rem;\n height: 1.05rem;\n color: #1f3a8a;\n}\n.dstate {\n padding: 0.05rem 0.5rem;\n border-radius: 999px;\n border: 1px solid var(--line);\n background: var(--field);\n font-size: 0.72rem;\n}\n.dstate.order {\n background: #11823b;\n border-color: #11823b;\n color: #fff;\n}\n.dx {\n border: none;\n background: transparent;\n font-size: 1.1rem;\n line-height: 1;\n padding: 0.3rem 0.4rem;\n color: var(--dim);\n}\n.dx:hover {\n color: #e2001a;\n}\n.dbody {\n overflow: auto;\n padding: 0.4rem 1.2rem 1.1rem;\n}\n.dinfo {\n color: var(--dim);\n padding: 1rem 0;\n}\n.stueck {\n width: 100%;\n border-collapse: collapse;\n font-size: 0.82rem;\n}\n.stueck th {\n position: sticky;\n top: 0;\n background: var(--card);\n text-align: left;\n font-size: 0.68rem;\n text-transform: uppercase;\n letter-spacing: 0.06em;\n color: var(--dim);\n padding: 0.5rem 0.5rem;\n border-bottom: 1px solid var(--line);\n}\n.stueck td {\n padding: 0.45rem 0.5rem;\n border-bottom: 1px solid var(--line);\n vertical-align: top;\n}\n.c-num {\n text-align: right;\n font-variant-numeric: tabular-nums;\n white-space: nowrap;\n}\n.c-pos {\n color: var(--dim);\n width: 2rem;\n}\n.c-art {\n font-variant-numeric: tabular-nums;\n color: var(--dim);\n white-space: nowrap;\n}\n.c-bez .bez {\n display: block;\n}\n.c-bez .mid {\n display: block;\n font-size: 0.68rem;\n color: var(--dim);\n}\n.wert {\n font-weight: 600;\n}\n.stueck tfoot td {\n border-top: 2px solid var(--line);\n border-bottom: none;\n padding-top: 0.6rem;\n font-weight: 600;\n}\n.c-sum {\n text-align: right;\n color: var(--dim);\n}\n.eurcol {\n color: var(--dim);\n}\n.dwaehrung {\n padding: 0.05rem 0.5rem;\n border-radius: 999px;\n background: #1f3a8a;\n color: #fff;\n font-size: 0.72rem;\n font-weight: 600;\n}\n.kurszeile .c-kurs {\n border-top: none;\n padding-top: 0.35rem;\n font-weight: 400;\n font-size: 0.72rem;\n color: var(--dim);\n text-align: left;\n}\n.fade-enter-active,\n.fade-leave-active {\n transition: opacity 0.15s;\n}\n.fade-enter-from,\n.fade-leave-to {\n opacity: 0;\n}\n\n/* Tab-Steuerung oben links */\n.topbar {\n justify-content: flex-start;\n}\n.tools {\n margin-left: auto;\n}\n.tabs {\n display: inline-flex;\n gap: 0.15rem;\n padding: 0.15rem;\n background: var(--field);\n border: 1px solid var(--line);\n border-radius: 9px;\n}\n.tab {\n border: none;\n background: transparent;\n padding: 0.3rem 0.85rem;\n border-radius: 7px;\n font-weight: 600;\n font-size: 0.85rem;\n color: var(--dim);\n}\n.tab.on {\n background: #e2001a;\n color: #fff;\n}\n\n/* KPI-Dashboard */\n.kpis {\n max-width: 1100px;\n margin: 0 auto;\n padding: 1.4rem;\n display: flex;\n flex-direction: column;\n gap: 1.2rem;\n}\n.statrow {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));\n gap: 0.7rem;\n}\n.stat {\n background: var(--card);\n border: 1px solid var(--line);\n border-radius: 12px;\n padding: 0.9rem 1rem;\n}\n.statwert {\n font-size: 1.5rem;\n font-weight: 700;\n letter-spacing: -0.02em;\n}\n.statlabel {\n font-size: 0.75rem;\n color: var(--dim);\n margin-top: 0.2rem;\n}\n.panelgrid {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(330px, 1fr));\n gap: 0.9rem;\n}\n.panel {\n background: var(--card);\n border: 1px solid var(--line);\n border-radius: 12px;\n padding: 0.9rem 1.1rem;\n}\n.panel h3 {\n margin: 0 0 0.6rem;\n font-size: 0.95rem;\n}\n.kpiliste {\n list-style: none;\n margin: 0;\n padding: 0;\n display: flex;\n flex-direction: column;\n gap: 0.4rem;\n}\n.kpiliste li {\n display: grid;\n grid-template-columns: 7.5rem 1fr 1.8rem auto;\n align-items: center;\n gap: 0.5rem;\n font-size: 0.8rem;\n}\n.pl {\n overflow: hidden;\n text-overflow: ellipsis;\n white-space: nowrap;\n}\n.pbar {\n height: 7px;\n background: var(--line);\n border-radius: 4px;\n overflow: hidden;\n}\n.pfill {\n display: block;\n height: 100%;\n background: linear-gradient(90deg, #e2001a, #ff6a3d);\n}\n.pn {\n text-align: right;\n color: var(--dim);\n font-variant-numeric: tabular-nums;\n}\n.pv {\n text-align: right;\n font-weight: 600;\n font-variant-numeric: tabular-nums;\n white-space: nowrap;\n}\n\n/* Natursprache-Assistent */\n.fragen {\n max-width: 1100px;\n margin: 0 auto;\n padding: 1.4rem;\n display: flex;\n flex-direction: column;\n gap: 0.9rem;\n}\n.frageleiste {\n display: flex;\n gap: 0.5rem;\n}\n.frageinput {\n flex: 1;\n font-size: 0.95rem;\n}\n.fragebtn {\n background: #e2001a;\n color: #fff;\n border-color: #e2001a;\n font-weight: 600;\n padding: 0.5em 1.2em;\n}\n.fragebtn:disabled {\n opacity: 0.6;\n}\n.frageopts {\n display: flex;\n align-items: center;\n gap: 1.2rem;\n}\n.opt {\n display: inline-flex;\n align-items: center;\n gap: 0.4rem;\n font-size: 0.8rem;\n color: var(--dim);\n}\n.optlabel {\n user-select: none;\n}\n.modellsel {\n padding: 0.3em 0.6em;\n font-size: 0.8rem;\n}\n.thinkopt {\n cursor: pointer;\n}\n.thinkopt input {\n width: auto;\n 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{"parentUuid":"8a5827ed-c3cf-4063-b535-dfb34c13cd7c","isSidechain":false,"promptId":"a4dc4d46-b486-4397-adf2-5fcdd9841729","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FhXpRmMnSW21pVgeVuPja8","type":"tool_result","content":"1\t// Kanonische Kataloge (Keymap) für Filter und Anzeige.\n2\t// gewerk: kontrolliertes Vokabular; muss zu den Werten aus der Anreicherung passen.\n3\t\n4\texport const GEWERKE = [\n5\t \"Kfz\",\n6\t \"SHK/HLK\",\n7\t \"Bau-Dach\",\n8\t \"Elektro\",\n9\t \"Holz-Zimmerei\",\n10\t \"Fördertechnik\",\n11\t \"Industrie\",\n12\t \"Handel\",\n13\t \"öffentlich\",\n14\t \"Sonstige\",\n15\t] as const;\n16\t\n17\t// ISO-2 -> deutscher Klarname\n18\texport const LAND_NAMES: Record<string, string> = {\n19\t DE: \"Deutschland\",\n20\t AT: \"Österreich\",\n21\t CH: \"Schweiz\",\n22\t NO: \"Norwegen\",\n23\t FR: \"Frankreich\",\n24\t ES: \"Spanien\",\n25\t IT: \"Italien\",\n26\t PL: \"Polen\",\n27\t};\n28\t\n29\t// Reihenfolge der Länder im Filter\n30\texport const LAENDER = [\"DE\", \"AT\", \"CH\", \"NO\", \"FR\", \"ES\", \"IT\", \"PL\"] as const;\n31\t"}]},"uuid":"240e8a12-58e1-4d62-abf3-b389938792f5","timestamp":"2026-07-06T08:20:26.150Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/marcus.hinz/projects/08-07/src/catalog.ts","content":"// Kanonische Kataloge (Keymap) für Filter und Anzeige.\n// gewerk: kontrolliertes Vokabular; muss zu den Werten aus der Anreicherung passen.\n\nexport const GEWERKE = [\n \"Kfz\",\n \"SHK/HLK\",\n \"Bau-Dach\",\n \"Elektro\",\n \"Holz-Zimmerei\",\n \"Fördertechnik\",\n \"Industrie\",\n \"Handel\",\n \"öffentlich\",\n \"Sonstige\",\n] as const;\n\n// ISO-2 -> deutscher Klarname\nexport const LAND_NAMES: Record<string, string> = {\n DE: \"Deutschland\",\n AT: \"Österreich\",\n CH: \"Schweiz\",\n NO: \"Norwegen\",\n FR: \"Frankreich\",\n ES: \"Spanien\",\n IT: \"Italien\",\n PL: \"Polen\",\n};\n\n// Reihenfolge der Länder im Filter\nexport const LAENDER = [\"DE\", \"AT\", \"CH\", \"NO\", \"FR\", \"ES\", \"IT\", \"PL\"] as const;\n","numLines":31,"startLine":1,"totalLines":31}},"sourceToolAssistantUUID":"8a5827ed-c3cf-4063-b535-dfb34c13cd7c","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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ApnzEEUQvc5AVbTC8zJX3lY7EYD7gF5tav7c5DFp7bkx4r4wmGkQljksLd/RRTOelousoAbARJcrUUaoLqdddyKqknUQWpKwrlCog7NxGdGOX5MSp43COb3l9YdAWOEF58QG3wtMJrtQEzbHLIMWjYDzJFk7e8uFLi0iorNHHBSvp3oyvpslQKQDz8x6iw7YtTA0AFrBdhHHCSSUACbe2OaGyYK3Rt7UOqysHNX+8xx++8iXtIolDUVnsO7Ai+I3/3l6jBTbfJ6ulvFuDNE9aqLurz81yt7TkHqvAWB+1x599B97zEi3nybwlToXMzJjuXqnxn/+AD9UpNuWopaXHnzkIyGyTj/JCqgLwsyNdm7t0JrSkEdCQWXXINxm7X/HcuWmidsXNuW00KY0CB9JTLZZJiv/s3ApEmYL6+NnbgjZIaXIGbkjDGk5DhnPX7elCxzPXIckaJyAbaJHX/Diq3H0n+GfLIclWF3Fc0zAYndL1qjXrL9B2DgnwjZC3xI0UBejjyYz1Z6nIPTqQDw0DLNpg3WaxJWoYp45YC4Rkrm5dyae5yeorCYueSh9vktokeseEVL1eP6gQPQihhz/l/n4OdL/cT8XkeJ8Y2HL0CLyooV/6LzWsA0x2fpA7eIzaFO2lq5Vn/7PUdW1+1XPrPHRW8il5graLLGvL2o9bNjZqMNixuj0beoAPEegBnJdzbmX3Rk95PVLpFPY5TVDJyU4hrBfevsYFV+K5XUeywrJx0OWrJoDA14UOzywD9jekYmMHHiy0jWB/jl7bau1t5I2g5ihgUteTQc8+GNH6Pt+i/0AuY8ZkfES7BFE+KGorhbRqegY6P6NQ/0kDV8KavqagqqkO64UEMoimbaFotSAfq50NS2Uo1HvH5XLGl+ueiC4D24urPva9SmmwRAAz91j8OHf716HsIuo4m/zGgeveSyhDSGMbSaFkZAll90LomPuwLvJ7IralG2mmLN1RNeoUgIa+qEatKzte8CJBxNKi10+BjPpEEl9vXajkTERHcJxqlrEVSyL/ip8AJmkdcrY487crvo4P4jTmNtxjgoFduOyEAhJUCpEskNb1xDWmXqIF7MDBcPuzZLVSi4qgMYt8Mf7hJStbwZb4HSDkpY0vMWOqfqUGjWMyIkK1476ayOYLX/u8YzIuXAceEU/vA20HsQFHR2ILUhzeKjXL6EVWA2e7u+0l+ozi4ogH9RQ7xpRif3C4TiTwbVlgC9XuSmxqgecTaEPrD6fl9dgZj2RmAzmE85dkJAev5jhDzeFheSbqMEWzk5720bbKycVgF1TKUWp85QrESNPwdSdXvs03PTN9Br4qI/fCMcdyHrIiSlJGgTzss6VQ0s86II8J7yI2dEF6vL11rKj7ZTMNHeaXnSDk+6VsJF9t99M3A9RkX1SRyrVv/rZ2nAHMeQO50taxxNticLuEyfJW5MDwrGm9S3RgSV/k8IFvuSxI+CCzxC6jEwWr+8LQ3FCfFsR7vw7gCWfqW9uY19jiQK6XCypUeMr0PSBm9F4h+WnbyqLfTkD3GAAsbWsaLcGr+GcQByRxKwNtmFNqtyR5etowSM827VSdYMgqhfGjvAQ1sMpFN12vhG6bnTDhgu3eml67+t10/R0/McbE9AG1u4QJvIxqaqoGe8fwTyqFn+cKc3aSMaVhiyz4lej9hP+LkKsr3ceBsbLXrbKLEavFg22MLx+65EwLCXaXuMeumN9hltCjTF3Kjtm0i2GJAFQKPa/TdTTNYl+WPC39eNP5i/kZ+TmQovz0pgR59hjBODAxgEoEjJsScQRt4vAnDMgcOwZ65mnZ1/6Owg94+3wGdxLj4QtW6zncTnXyRq/w8nI1hGu8WEKljPvldwVr8SJF3apKILH/T4IUiCkB3g5Gc0qDKtsD1GVZdzN+LAYQQyeDE2dF+maSl6zXyBQMQqWmBW7thlmJac8HpXpQ1R/vx+DEpHQS1OqSW60GIHAf63ARpEgMUhywCXYUhefSPICdNBhJOYzERa3OC/0BL50HRLUf3UDj9Lr2pGt/R9diaYybtAPDexBvE66g9x74oYtcCfkrUqMfOMcXbkFL7pwx5SWhS6R/R684h8CXsPxG0YJODTfhukn3ATMSvsS0N07DGMzEGJNURBqsZ0WWV45YLxFLMURXiaVbunwNhdX9nxW2DFNQ0O+cKLoeWJRKkq/dLF0YOLzeK7YjAcm6YXq12SMT27d+03LnyEvizklHXim8+tMoUZB9fBhiX7KO857LGqjRKsR4IZDFD8UAw4a6Hw6TjvbWsjfBS4IJEH5nw2CSE8K5mCI6DzEvsSjn9AFjOezb8xbrxU1EELOwnCXa9L7zE3u8wM0wUXmP6wHNejlp7+xlzdQqxDBEq3+17xVHDxS1eMxi6X03yYsi8SbOYlHVVgOyecfC/O5H7v85Z/kFlEeWnLzmta7RDXxZpokC4WDKdnXg/xvkbxZXIMZmd77BgfLOAgGQYW76dVvqTCalBuCbQivMHcdIQpq5/T2SN0oiGP14InK/udKZFsoE/APEp1jTaONrPhlgZK0T+0VgeTfnBI/fDDi7/3y5SpkMGDUf0KSt86duRWIs1Sqqt59wZSZ0MY8t7m5TG9UpDD7kq0omN7BLUmHQ0CCL31weujRDMuIudL1n7ETZrdHLiKjSH/OTuE4ueuau+Hy5zxxGZiWq9kcQXTz66xDJ2ii261PZnrZzSzOeDjjq3Ow/3mulcC1YC47J47DuCAPxvfkEQ0tYfvjpz4d8bsh8O5kJt+iro3Nnh9K5iaJLAf4V1vnSJuQr1ZJHKDDUjN8tZ29la+5EAnO/c03lqGcPVbb/IUxe1SSi+xxvyQycOLwMcdKyuZdCBCQQ+QDUwj2zz2tUYFpBqd9EhkdvmcBJbA9V4jpSKvI3AibzLAOBa/Gd7ezgLQbiwDwy+9E0sYXjUWY3h8bSiTiE/Ts6uQsiDGKi87Ptbseot8opfSvX0FAbOQ0oG+/XNaOhYW2YsQPTHl7v9tPrb7NFW4RKh2earEl/vyCkDyyBf0RNDgbgzJTuAhyf1/3wZjA4QL9RWNVj5tv72zqHW8H1PjuNvEOsKAEScyw26WkKWq7ZKIh5RF93uL0O3NFoGTg9wY6iYAF5ea5/fIBO2gE0CfKtViHKLs1bpxydgrlVcvzYQebOxV9bdUWQNy/O4Ig8Pmg1/k+vzK43t6neZdk+RsLJM0c20ubVnAvJIhucppX+OAxAtt27uNesolUeiBtrx4O9kezLUXIdiZu/ZFeVmIunZDe4YbHrjf7IT5RubqZum5vnBimolJjG5zyqdir63ahiYocxBTFpENJi4TkEjVrpzZoywPcHtRkRXx+0VzHVzDiEJJ9cA28BcqDr2xd61kI6CDzN2rIoR8HKpdpEuB+bIS+NVLsbw50M6STEdH+/BzPv+rwGF1hBZQ2As0wHksqQWL2RgO9sKiIVPPSNq1TqpHYOMfbR1NNFOPtZtrQ7xtlsitBZYonPGbnuLrjxJI7ij0aANewNoOMROaX6tHlwRgBcd1pvmsJPKMBsA45ZQ0ToGH+bK3aKzUiK/YY6X5zlFwbwK/4ZdVWGcZrnAu2vk2P9K92Qh51JkdFrVWJj5Tr4XrWjQ6Q4PlTg3OxKchBcm60mGIEylzw/O9w/d+/0fMRKfqiFyD8Cq/PJZ4NYlOGNF+Vi0vqrRp5rCARIe3VorXYsaNmuED6StCsbM2aA5WTTg3KjZth1I3d7IgXZciuaZM7Ag52fIzyBjALw13XhUAlPjOVNtuYrZtBbhOHZq59jQH5MCk8xrhVYu16HV0PRuRiDTpVMA+WCavl3SFlG9ck0Ny4aaIN5F0qaMO00UaJKWgCxIznDiZpfUikLmi3QNKJVADMZJp3+JF5c4Z4RYRQGykPNljLQWmP5/V0nxqm3N6TPkyvyP4miapmQg8tOXVBXb26gbqeW7P5JzHBZ2DJisjCijU1Mabg6EDA5Df/CNj3+JkwTrgVcRM/I3wtedli5b5/uYQXlymOZuv8FwdWQRHmbttXwnWfe18b/3UEeY/rWC6MOldQ1GcIi5l39ue0ryFQC5sq4tUCdY+AEcl3BCzgd7VcZAn+8fC3JTqGxAbYRfCGF1/vFFGgLvfFxkcZB3wJPkg6HiDPcOHhXxTdG17UST1ZaZZndbNqp4+PQtSaKvrgEX394Hk9XOKa2Q/aJm8R1OeHZI6I+HHS00vM6j5ruAFl4VqSEclo0R7JdNXLghqDHXk9AEpNR9U/x7gQY6RfdBSskFdw8R7m5eeg/TSuISh1Ta6cZJJCdf5Ih2/9sqDIlF/eO0+4YziD60YUFRy0tjERB8gRtyWptr9SLfzwoRQd3krHtgO2M+a3Lc8/bjUtRE5OemATsJyTZjZ+1SnEIUO78/CNetDeHTIPtYPJJ00IBLZ482sC92jek4NNYxgUQDX6StOulgDxMMe/wMnfhn20LBM6+nSYjSR/lpHOQJJ24jsNX9W5/tiZvLut5Gcumr6rkFyKgH6EqRTNqvRFK9gl2Rhko0w7SUROcrBkfN7MoIACTLZpw4GCsRqaOrcj7DkEuRQ6ok/0/T7zh1/3fwolXjzf8degQqE2Dmkx3QETIdKLsmyzahC7bqVQaRdEsuiZZ9C9bKEcitW0UVBbEqoo6Wt+vfSNR3ryiRNSzbs6RZPS8TEIuHyPoOyQrQTkRF25tl1BDzpOjRqnZrXBKFVB19njhhjZ00P7b9R6uu5v0mYbELSE0QiMHflNTUVAGfcXuWgqPwAOHZ7QGXI502WwzT6IBhzZFVwoX7Nm/+aCUb1etsD5s/8Ci/nfuJzGwHrFiZYHrBk9tTSLcMayyGexgAB31SRR/RlYplMvqKjzuJ3tg8A0r+zKADhGOHoeZvvjSrq8hipA5jsWo0n1DKhPFvec+ZX7erMPLCQFpajkJShjlmBFgDajEqQZXQGdydZOTiDqkP2JdJwJK88NDzGXbgP7mUi3jdBs9ADA05n+sTXb+b28nXv722Iw3+gfw7BzOcmxVg5/lWa5qAzHl2pBT8G+CKKuI+X6tq/WfNYsNJdFYpg2DNMQWZoTJR0xGt4kf3+sRsv5KHu0l/mquvYxN18azunL3KQ9Gr7BW7v3RYvcRYgsWmK+Q8Pn40eEtEGcE3nBawcANYtWqMspEQebBV4INW6elkSWnf3c3/61Bxa9IOULjgH6XApNqPrvDF8ovuq6NZuDUs0kpybpRs0YK/Gsl9YR+fSKt/b6bf5+dwvFs5cakMhKcP30n0GzXGpuUQvpLCJobyCT8YyUQI1IbkTTmhhSf/ATYn68YouCuy6U3VRDuZEGbC472yQbv/c1hCzOCcOn11vccuuWjgXJpL16c+7PFZ6oWOE3HVPUG/KuNtXMKQ0USxP9HKZCxJhlPHM4F2kFq6mWAyez2ST5UGgHRGBFBTfnNcUMsq18VE6JBwx3jaOLjrvmDi1/eN/7+FQF6BAXe/B6DOM+L7x5Z7rmAzhAQTcRmk6gbVFl9x71W/1dJEwswRFcb7UHpbrQ4TAhJynjuL443CajsoKMh7/5pXF99FRTd7nqUx+mbMXW/Gx0US8EXFI2Ko/dU3djgTJlcqesL8XCt1XzMZKak4QazwfMos3+nz1QI3hQuggWOMl3atXTZIoYjvQPbtrPet/0a3yg8Sga2mloyUH/vk7fQab8kHo9cI71t42beZAQPHb2LYuXPwrQA/Pg7TkYuusLu5YI0rmjazloOiXnleWx3ieD3cxIG/6nKkuiMBDzstIZSEAEjjI+W6ugk78DsqvnJtbFbNMBgu1+i3W9GU/2/hQQEWfyNTn00zjzNNbhqxWnluhA/CqDxH8stz9T+I0mUxuU9WGSI3bYU26Z8XxKyRxtKnT9Jl5ZBLDMBs8sDkhg9B8AHhrIv5nPDv74Fch9S2rWu41XNikWgPlLw2s66Y29JkFv6QihO42+UIilhVUAEwu/gejcpJ4S7YBHA9vNHEI2NzKzyg+lpHJO5MG+Ia8RoVSsJXYNM+1jnQfgKASFlDTAhdtT5SQnegyk6eaBv0dQvi5W+X9tFEFhdhw0lm/6Y1QK9B4VHNEiC6y+RmLem7Bc7oJ+HAyLbFEQWHpoivQ1/OwCO4FkdDMqwR0G+pNjs9d7LmoqTjiQEqDx0b1ZmkY+Wr9414k/04dpaxPgxKcfIu99fMkhknm0UIrLYx5eodsnfG/0/5lIfFAk617DqagY+2DaUw9AxzIWUtFlhoXTeehn++IImscptHiz65VJF/KZAq9asUlwV0/LCSk/cAboDjbgAGanXOSWlwq0lGthKAbj8fCGt+Z58LM5sPaZxTgUsvIC7i7Z61b802V3D1vzrSiN+67+P7UI9H2rP/ciMSvEbGA/4DevSm93edgbmuNa52xr535yxWmDE7WNHB6qmKZ2cEzDPKFGtnE1XvfzX626ckBeMNjQAXbiB7xf/Y4SWs9ENPdQjsEMY6V2mIg0MYICq3yVHIVCumFimVgR1UYJ2yptivOuCA8VsTOQ2kHvtm/aCzijEPmCZE+Taa7nWfcgmxMm+EvTkTktUaBIMLdCf4xv5+y+YTsW/X/MAoo5qDvFMM+NsaQpPTIk2y3uRi1yngHUS6Fy6OJnkn9JNSnM9BY3C3aGsM4e549EcolKfZnvQd2xYpvEQjWo+v7l5L55j5TuUpkeAbWmez3Fxu3HbjwhmohpXEIHRtcCFPrAheOXhKpZE/sXCsNJt5QOpw+EvATP5KhFBe2+QflE93cLxqln0r7yWAkPa/3ls8SgQiZVZe4fMIy0m4OU3jFADJKoh5cuLke7Xc66gmroeMUvDEeiVUnhykuQXA1/hXW83X4PGT1+QJ9GwWPgKVWXFS7xtlauPoTFI/dTkUOqoxDyZE5lpRbIlhQsIhf+MrWyvX0FXZbsd7FuZ67Q5ZSUnXLqm2HO+QL3oOz24dbB+ZcJoB1V+nm7yQs43Vop9fB8fr0hZegjkt/j4Elk18IyulG2BMviuVyEco9LiBbILf6vNeNBbj//828pyTyqKC83t8UiBuOWiPmbWHaCCiPm6Wm40wtH7CCJWr17rkJb00GVghK2Whnj7PaIY5r3wZbh9DYKbwyrR7x56QZDOK/D3x2Vx+NAD+MyUdIc53F7Qs0QGXBnEBcsNMYxwStWHv4gaybf/hGm8FKnk99HrnAGsufJ0lfFWPaS8UeSc65Oz823OvMsi7sOseqjxTIa77N47duryhkbZgFmpjfJOGKo6kg/L8Jm3t4pf7vqCUkvN4nPNvC0JdS9nEIxdjkNJ6WphZPJa6yCCBJQWObSiWUf7N8LfAmRju0ut+o0eucdhyIM6fsM0EAgASwQhvU7pE6lzdvcHOtEP0WmPeT6Dyq6RCQJuJjM3KJC0mb6/R/BcEG4a2TardUvsKyfM+1hbB0ETfqBJhJsoXCJaLU/w1OJvegEN8kIi0uzTatVRpeLUL4A2XYzOR4DQOiB+TTVgWqla9pIl0zEKikRFJnRrNOKf6GWGDeKDq4Jp7EMYHEQGloaSJQakgletl3UEqF1TlNpmkEkiqvFB2barnK4Qcb61sYr+1hs8rVG4ghI6kkQZS1ZT6z0h5JPpVeW7m/Q3qj2jVw7v92PqV3csvcqCHxqBqgxeLGbNzK1d+oZaUA5ql4gnOOOKPTqWnEN4EotWgRC5Md/IJbf9Py7kdipaMHNqqHBxzDv6MyDQ+u9onlOxOG7WE+tzY/TKR15hShXVvde8A3UVnX0NE5zyBfeng3qyeEhYG4moEbD3PRyuG6o8JdSUIaZZSRejqDJ15IiXPyFjTYP7dfZYgqekKUE5msDsZOqKr27+Is67r1Uj36sG5H4xwz4iCDyUbvuPv2/MFJvFyvQIZVTN5qYEjkR/DVFGPTjm4XvEAQgdDCkdF8GGkaI/QsAQTaXhakVemMEBeHJ5B+cEMh9UoRm8gqEQfV8BQyDNTQUcTHEEJ7N+dWDIRFVm0v0WVu7J6fd0ZUqaVBEks2dFQ8bqBYUBVGaLJUjO2WqgfGw3iJUTbqxXfDUtg5A1szaHkOfRh85STQJeKeaKd7/Ebais+0hLEF7ogzr1BIi/OKjHSvKiEtkDsyasoWj6OOJh8F8AsUIe15bjK/SFNex/QoTj8kEAw+4nTZN2RnZUiq29M40qTWNcRZ1Kya8/nVA4Ymsfc8Q484dRaJhT44w4aC0vK+lQY7a0K+UkWCqvCXVdai4eliKS9g+AbmA4sS6e2CbIo2iGUu84pdoWgqv2DkNtZd/AbTGsk3loQD9Nft58R5w+4du3LKvLDiC0C9kMOFZNjjtkIlRKbVouMuEXSrcPM8hXgD2EI49Iouiq8JPsJs3WFA4DNW/D/Ja/rSlr1rzbnQGC5M6377Sc+OqY4DwbbNylD1zlAuLiym2eQwtyWu4Gl+oKB0LaVE24hFw9kb8WS+0yVC8cS9HMafd9NSDK4g64JpitD1QBM0mbT4UCToJv6OpfWz/QHuzjFWPp3P338Tmyils+zzjlJolEc80kDEIANFxdrQUKFLZpOwzksNsd+7/tKRzj3P41wLu64thDgRPBwRbtZWw23a/3MicVLY8faxXBwemHHlgY4Rr7QhFhqE7fr1h7AJ3Zzt4U3+xmLs/+tf/ax6Z75bhil8IgLjc0AGRZbVLqVAdTkBsPpjBwYt8yF15aiAQAzwh8hCW1PDVblRIDxlH9u0/pjRnPcO/JY1Wypfp5ZcSu9OMv9mc9srh5bgN03eVaH5j4V1xUaAqHhLoNqFNF320HEe+4CJvF0fLO08KwPo88Vv+TCbwIoimWt56SEO9jUFkgL6vq8R9M1qNjROkt9Y/Uyi/7UhGQek5f/ntx6ot/Lm5xMtwSa2ccq1fh1/apig6GuGv4ZVZEFGqXf990dxSgqnyisivkZiPp6Aqb52jtgId6mfTF0CuyfQrN0vqjKA/66Sgt1NzwoDPWDFa22qhOKRNefPjajjIOApdCseACakh+6qM7Y+/Xb2rzhB1S47FiR3KoBnV7eqejVwJlTcx4AqJdNyufJVATmDmPevzkp1vcmS68Tvrw9JePYXq+vCxK2p1E5o5bRM6HO7W6pu7P0SDgH2SpH7cE5bijWzMD/7wkyJHQDqTzJTfMyqbWCPU8Hl/5iAFIuHFK1oQEpc1XfHvS94hLKremtPob14hRcl8DeXzlSCeuqSJqAhiH7B9/KXjHlwmsR8TCtM1NlXPkJ9O4fg0qu5CJ5tDtg4XEYxRhjMc5cIN4FiHoiqwf7/ErBbtDjGRvy+3r4o5W06ckP+0u59maor5EO6hy3C34nKTJtStcjtWrDIwSfpjhKoGXC0aVRexyzSLkYz61aDg+jIUkPpLrULdNgDx6YIQr2rGttAGTwwDWwnRNSSNejq2SRXhj6b9bqFbMN/EjJw2h6gH0e8s8g4gpdNB4I/XXnwJgI3XCqLwOw+8+qjSe5A++jQ+uhYUvfZAWZWA7qrwyTMzwiFHtOjM4XzZtcDx9+YGxw2pFQOZ9QkadaDXou4Beg/M6Ty5DROrdW2zc6gWkH9zboI/OFUq9OFq81YCaqLrFJaWV57YkSQJQ6o/FArtE+ATireD+z4iZHxBmxnONlzu2zuJ/rNTPtbmHUmk+uOoFzVkWtI7YNJrXhMMW8RtfUIpIvVNQEYGvDKv6Gn5CK9AuPWACR/UtFe4SG0i1gl4UjgB4wRU0mo+ilK4J/j1kmQUfSlekaPMOJPC+ppn9bpsTZP6tjW59C6A1z3zSIA+ALQpLUU/GZgBMzShSzlx0sWpTJTkME2MmTXIEliqzWY6xRQBOb4IADaix8eMzBAlYnKtnTeCQZJ7KV6XIel4etSSGn+d9nO7QeTV6gh2Vs/oERk0C/f6N3DOKlp8csBd8o+VKX3P4n/okgkFRI6dxw5smpTI77+kPlLhoOsVgxHOxMLizPloglVgXPr6f4pmcVmbNJ5jqnaakafh87MLUMj7N87a4bTmdUNTDEsw0kiIKtCBysf4eMbZ4s3A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{"parentUuid":"5026a943-26cb-4cc0-99a0-d0eb656bc4c2","isSidechain":false,"message":{"model":"claude-fable-5","id":"msg_01EoLEZiqbfvrBgMvCnFVpJx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ShMxst25wqt6pVWfXJs8E6","name":"Edit","input":{"replace_all":false,"file_path":"/Users/marcus.hinz/projects/08-07/src-tauri/src/lib.rs","old_string":"fn frage_ai_inner(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {\n let key = read_api_key()?;\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let schema = db_schema(&con)?;\n let system = SYSTEM_TMPL.replace(\"{SCHEMA}\", &schema);\n\n // Modell auf erlaubte Werte begrenzen\n let modell = match modell.as_str() {\n \"claude-opus-4-8\" | \"claude-sonnet-5\" | \"claude-haiku-4-5\" => modell,\n _ => \"claude-sonnet-5\".to_string(),\n };\n // Thinking-Konfiguration je Modell; bei Thinking mehr Output-Budget\n let (thinking_cfg, max_tokens) = if !thinking {\n (serde_json::json!({\"type\": \"disabled\"}), 1024)\n } else if modell.starts_with(\"claude-haiku\") {\n (serde_json::json!({\"type\": \"enabled\", \"budget_tokens\": 2000}), 4096)\n } else {\n (serde_json::json!({\"type\": \"adaptive\"}), 4096)\n };\n\n let body = serde_json::json!({\n \"model\": modell,\n \"max_tokens\": max_tokens,\n \"thinking\": thinking_cfg,\n \"system\": system,\n \"messages\": [{\"role\": \"user\", \"content\": frage}]\n });\n\n let client = reqwest::blocking::Client::builder()\n .timeout(std::time::Duration::from_secs(60))\n .build()\n .map_err(|e| e.to_string())?;\n let resp = client\n .post(\"https://api.anthropic.com/v1/messages\")\n .header(\"x-api-key\", key)\n .header(\"anthropic-version\", \"2023-06-01\")\n .header(\"content-type\", \"application/json\")\n .json(&body)\n .send()\n .map_err(|e| format!(\"API-Aufruf fehlgeschlagen: {e}\"))?;\n\n let status = resp.status();\n let json: serde_json::Value = resp.json().map_err(|e| e.to_string())?;\n if !status.is_success() {\n return Err(format!(\"API {status}: {}\", json));\n }\n // Im Thinking-Modus steht ein thinking-Block vor dem text-Block -> gezielt den text-Block nehmen\n let text = json[\"content\"]\n .as_array()\n .and_then(|blocks| {\n blocks\n .iter()\n .find(|b| b[\"type\"] == \"text\")\n .and_then(|b| b[\"text\"].as_str())\n })\n .ok_or_else(|| format!(\"kein Text in API-Antwort: {json}\"))?;\n\n // JSON-Objekt aus dem Text herausschneiden (erstes { bis letztes })\n let start = text.find('{').ok_or(\"kein JSON in der Antwort\")?;\n let end = text.rfind('}').ok_or(\"kein JSON in der Antwort\")?;\n let spec: serde_json::Value =\n serde_json::from_str(&text[start..=end]).map_err(|e| format!(\"JSON-Parse: {e}\"))?;","new_string":"// Ein Claude-Aufruf (system + eine User-Nachricht), gibt den text-Block zurück.\n// Im Thinking-Modus steht ein thinking-Block vor dem text-Block -> gezielt den text-Block nehmen.\nfn claude_text(\n modell: &str,\n thinking: bool,\n max_tokens_plain: u32,\n system: &str,\n user: &str,\n) -> Result<String, String> {\n let key = read_api_key()?;\n // Thinking-Konfiguration je Modell; bei Thinking mehr Output-Budget\n let (thinking_cfg, max_tokens) = if !thinking {\n (serde_json::json!({\"type\": \"disabled\"}), max_tokens_plain)\n } else if modell.starts_with(\"claude-haiku\") {\n (serde_json::json!({\"type\": \"enabled\", \"budget_tokens\": 2000}), 4096)\n } else {\n (serde_json::json!({\"type\": \"adaptive\"}), 4096)\n };\n\n let body = serde_json::json!({\n \"model\": modell,\n \"max_tokens\": max_tokens,\n \"thinking\": thinking_cfg,\n \"system\": system,\n \"messages\": [{\"role\": \"user\", \"content\": user}]\n });\n\n let client = reqwest::blocking::Client::builder()\n .timeout(std::time::Duration::from_secs(60))\n .build()\n .map_err(|e| e.to_string())?;\n let resp = client\n .post(\"https://api.anthropic.com/v1/messages\")\n .header(\"x-api-key\", key)\n .header(\"anthropic-version\", \"2023-06-01\")\n .header(\"content-type\", \"application/json\")\n .json(&body)\n .send()\n .map_err(|e| format!(\"API-Aufruf fehlgeschlagen: {e}\"))?;\n\n let status = resp.status();\n let json: serde_json::Value = resp.json().map_err(|e| e.to_string())?;\n if !status.is_success() {\n return Err(format!(\"API {status}: {}\", json));\n }\n json[\"content\"]\n .as_array()\n .and_then(|blocks| {\n blocks\n .iter()\n .find(|b| b[\"type\"] == \"text\")\n .and_then(|b| b[\"text\"].as_str())\n })\n .map(|s| s.to_string())\n .ok_or_else(|| format!(\"kein Text in API-Antwort: {json}\"))\n}\n\n// JSON-Objekt aus dem Antworttext herausschneiden (erstes { bis letztes })\nfn json_objekt(text: &str) -> Result<serde_json::Value, String> {\n let start = text.find('{').ok_or(\"kein JSON in der Antwort\")?;\n let end = text.rfind('}').ok_or(\"kein JSON in der Antwort\")?;\n serde_json::from_str(&text[start..=end]).map_err(|e| format!(\"JSON-Parse: {e}\"))\n}\n\nfn frage_ai_inner(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let schema = db_schema(&con)?;\n let system = SYSTEM_TMPL.replace(\"{SCHEMA}\", &schema);\n\n // Modell auf erlaubte Werte begrenzen\n let modell = match modell.as_str() {\n \"claude-opus-4-8\" | \"claude-sonnet-5\" | \"claude-haiku-4-5\" => modell,\n _ => \"claude-sonnet-5\".to_string(),\n };\n\n let text = claude_text(&modell, thinking, 1024, &system, &frage)?;\n let spec = json_objekt(&text)?;"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4594,"cache_read_input_tokens":75670,"output_tokens":8038,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4594,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":8038,"cache_read_input_tokens":75670,"cache_creation_input_tokens":4594,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4594},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CckUfqEjMgcG1tZxZXLqu","type":"assistant","uuid":"7096f09b-9f86-4121-a2ae-256b8617e117","timestamp":"2026-07-06T08:21:54.600Z","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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(file state is current in your context — no need to Read it back)"}]},"uuid":"683b257d-a86b-48fc-9ac6-5fb61f2899a0","timestamp":"2026-07-06T08:22:12.607Z","toolUseResult":{"filePath":"/Users/marcus.hinz/projects/08-07/src-tauri/src/lib.rs","oldString":"fn frage_ai_inner(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {\n let key = read_api_key()?;\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let schema = db_schema(&con)?;\n let system = SYSTEM_TMPL.replace(\"{SCHEMA}\", &schema);\n\n // Modell auf erlaubte Werte begrenzen\n let modell = match modell.as_str() {\n \"claude-opus-4-8\" | \"claude-sonnet-5\" | \"claude-haiku-4-5\" => modell,\n _ => \"claude-sonnet-5\".to_string(),\n };\n // Thinking-Konfiguration je Modell; bei Thinking mehr Output-Budget\n let (thinking_cfg, max_tokens) = if !thinking {\n (serde_json::json!({\"type\": \"disabled\"}), 1024)\n } else if modell.starts_with(\"claude-haiku\") {\n (serde_json::json!({\"type\": \"enabled\", \"budget_tokens\": 2000}), 4096)\n } else {\n (serde_json::json!({\"type\": \"adaptive\"}), 4096)\n };\n\n let body = serde_json::json!({\n \"model\": modell,\n \"max_tokens\": max_tokens,\n \"thinking\": thinking_cfg,\n \"system\": system,\n \"messages\": [{\"role\": \"user\", \"content\": frage}]\n });\n\n let client = reqwest::blocking::Client::builder()\n .timeout(std::time::Duration::from_secs(60))\n .build()\n .map_err(|e| e.to_string())?;\n let resp = client\n .post(\"https://api.anthropic.com/v1/messages\")\n .header(\"x-api-key\", key)\n .header(\"anthropic-version\", \"2023-06-01\")\n .header(\"content-type\", \"application/json\")\n .json(&body)\n .send()\n .map_err(|e| format!(\"API-Aufruf fehlgeschlagen: {e}\"))?;\n\n let status = resp.status();\n let json: serde_json::Value = resp.json().map_err(|e| e.to_string())?;\n if !status.is_success() {\n return Err(format!(\"API {status}: {}\", json));\n }\n // Im Thinking-Modus steht ein thinking-Block vor dem text-Block -> gezielt den text-Block nehmen\n let text = json[\"content\"]\n .as_array()\n .and_then(|blocks| {\n blocks\n .iter()\n .find(|b| b[\"type\"] == \"text\")\n .and_then(|b| b[\"text\"].as_str())\n })\n .ok_or_else(|| format!(\"kein Text in API-Antwort: {json}\"))?;\n\n // JSON-Objekt aus dem Text herausschneiden (erstes { bis letztes })\n let start = text.find('{').ok_or(\"kein JSON in der Antwort\")?;\n let end = text.rfind('}').ok_or(\"kein JSON in der Antwort\")?;\n let spec: serde_json::Value =\n serde_json::from_str(&text[start..=end]).map_err(|e| format!(\"JSON-Parse: {e}\"))?;","newString":"// Ein Claude-Aufruf (system + eine User-Nachricht), gibt den text-Block zurück.\n// Im Thinking-Modus steht ein thinking-Block vor dem text-Block -> gezielt den text-Block nehmen.\nfn claude_text(\n modell: &str,\n thinking: bool,\n max_tokens_plain: u32,\n system: &str,\n user: &str,\n) -> Result<String, String> {\n let key = read_api_key()?;\n // Thinking-Konfiguration je Modell; bei Thinking mehr Output-Budget\n let (thinking_cfg, max_tokens) = if !thinking {\n (serde_json::json!({\"type\": \"disabled\"}), max_tokens_plain)\n } else if modell.starts_with(\"claude-haiku\") {\n (serde_json::json!({\"type\": \"enabled\", \"budget_tokens\": 2000}), 4096)\n } else {\n (serde_json::json!({\"type\": \"adaptive\"}), 4096)\n };\n\n let body = serde_json::json!({\n \"model\": modell,\n \"max_tokens\": max_tokens,\n \"thinking\": thinking_cfg,\n \"system\": system,\n \"messages\": [{\"role\": \"user\", \"content\": user}]\n });\n\n let client = reqwest::blocking::Client::builder()\n .timeout(std::time::Duration::from_secs(60))\n .build()\n .map_err(|e| e.to_string())?;\n let resp = client\n .post(\"https://api.anthropic.com/v1/messages\")\n .header(\"x-api-key\", key)\n .header(\"anthropic-version\", \"2023-06-01\")\n .header(\"content-type\", \"application/json\")\n .json(&body)\n .send()\n .map_err(|e| format!(\"API-Aufruf fehlgeschlagen: {e}\"))?;\n\n let status = resp.status();\n let json: serde_json::Value = resp.json().map_err(|e| e.to_string())?;\n if !status.is_success() {\n return Err(format!(\"API {status}: {}\", json));\n }\n json[\"content\"]\n .as_array()\n .and_then(|blocks| {\n blocks\n .iter()\n .find(|b| b[\"type\"] == \"text\")\n .and_then(|b| b[\"text\"].as_str())\n })\n .map(|s| s.to_string())\n .ok_or_else(|| format!(\"kein Text in API-Antwort: {json}\"))\n}\n\n// JSON-Objekt aus dem Antworttext herausschneiden (erstes { bis letztes })\nfn json_objekt(text: &str) -> Result<serde_json::Value, String> {\n let start = text.find('{').ok_or(\"kein JSON in der Antwort\")?;\n let end = text.rfind('}').ok_or(\"kein JSON in der Antwort\")?;\n serde_json::from_str(&text[start..=end]).map_err(|e| format!(\"JSON-Parse: {e}\"))\n}\n\nfn frage_ai_inner(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let schema = db_schema(&con)?;\n let system = SYSTEM_TMPL.replace(\"{SCHEMA}\", &schema);\n\n // Modell auf erlaubte Werte begrenzen\n let modell = match modell.as_str() {\n \"claude-opus-4-8\" | \"claude-sonnet-5\" | \"claude-haiku-4-5\" => modell,\n _ => \"claude-sonnet-5\".to_string(),\n };\n\n let text = claude_text(&modell, thinking, 1024, &system, &frage)?;\n let spec = json_objekt(&text)?;","originalFile":null,"structuredPatch":[{"oldStart":263,"oldLines":20,"newStart":263,"newLines":19,"lines":[" \\\"value\\\": \\\"<Spalte für Wert oder null>\\\", \\\"titel\\\": \\\"<kurzer Titel>\\\", \\\"erklaerung\\\": \\\"<1 Satz>\\\"}\\n\\"," - chart=kpi: eine Kennzahl (value = die Wertspalte). chart=bar: label + value. chart=table: sonst.\";"," ","-fn frage_ai_inner(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {","+// Ein Claude-Aufruf (system + eine User-Nachricht), gibt den text-Block zurück.","+// Im Thinking-Modus steht ein thinking-Block vor dem text-Block -> gezielt den text-Block nehmen.","+fn claude_text(","+ modell: &str,","+ thinking: bool,","+ max_tokens_plain: u32,","+ system: &str,","+ user: &str,","+) -> Result<String, String> {"," let key = read_api_key()?;","- let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;","- let schema = db_schema(&con)?;","- let system = SYSTEM_TMPL.replace(\"{SCHEMA}\", &schema);","-","- // Modell auf erlaubte Werte begrenzen","- let modell = match modell.as_str() {","- \"claude-opus-4-8\" | \"claude-sonnet-5\" | \"claude-haiku-4-5\" => modell,","- _ => \"claude-sonnet-5\".to_string(),","- };"," // Thinking-Konfiguration je Modell; bei Thinking mehr Output-Budget"," let (thinking_cfg, max_tokens) = if !thinking {","- (serde_json::json!({\"type\": \"disabled\"}), 1024)","+ (serde_json::json!({\"type\": \"disabled\"}), max_tokens_plain)"," } else if modell.starts_with(\"claude-haiku\") {"," (serde_json::json!({\"type\": \"enabled\", \"budget_tokens\": 2000}), 4096)"," } else {"]},{"oldStart":288,"oldLines":7,"newStart":287,"newLines":7,"lines":[" \"max_tokens\": max_tokens,"," \"thinking\": thinking_cfg,"," \"system\": system,","- \"messages\": [{\"role\": \"user\", \"content\": frage}]","+ \"messages\": [{\"role\": \"user\", \"content\": user}]"," });"," "," let client = reqwest::blocking::Client::builder()"]},{"oldStart":309,"oldLines":8,"newStart":308,"newLines":7,"lines":[" if !status.is_success() {"," return Err(format!(\"API {status}: {}\", json));"," }","- // Im Thinking-Modus steht ein thinking-Block vor dem text-Block -> gezielt den text-Block nehmen","- let text = json[\"content\"]","+ json[\"content\"]"," .as_array()"," .and_then(|blocks| {"," blocks"]},{"oldStart":318,"oldLines":14,"newStart":316,"newLines":31,"lines":[" .find(|b| b[\"type\"] == \"text\")"," .and_then(|b| b[\"text\"].as_str())"," })","- .ok_or_else(|| format!(\"kein Text in API-Antwort: {json}\"))?;","+ .map(|s| s.to_string())","+ .ok_or_else(|| format!(\"kein Text in API-Antwort: {json}\"))","+}"," ","- // JSON-Objekt aus dem Text herausschneiden (erstes { bis letztes })","+// JSON-Objekt aus dem Antworttext herausschneiden (erstes { bis letztes })","+fn json_objekt(text: &str) -> Result<serde_json::Value, String> {"," let start = text.find('{').ok_or(\"kein JSON in der Antwort\")?;"," let end = text.rfind('}').ok_or(\"kein JSON in der Antwort\")?;","- let spec: serde_json::Value =","- serde_json::from_str(&text[start..=end]).map_err(|e| format!(\"JSON-Parse: {e}\"))?;","+ serde_json::from_str(&text[start..=end]).map_err(|e| format!(\"JSON-Parse: {e}\"))","+}"," ","+fn frage_ai_inner(frage: String, modell: String, thinking: bool) -> Result<AiAntwort, String> {","+ let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;","+ let schema = db_schema(&con)?;","+ let system = SYSTEM_TMPL.replace(\"{SCHEMA}\", &schema);","+","+ // Modell auf erlaubte Werte begrenzen","+ let modell = match modell.as_str() {","+ \"claude-opus-4-8\" | \"claude-sonnet-5\" | \"claude-haiku-4-5\" => modell,","+ _ => \"claude-sonnet-5\".to_string(),","+ };","+","+ let text = claude_text(&modell, thinking, 1024, &system, &frage)?;","+ let spec = json_objekt(&text)?;","+"," let sql = spec[\"sql\"].as_str().unwrap_or(\"\").trim().to_string();"," if !is_read_only(&sql) {"," return Err(format!(\"Abfrage abgelehnt (nicht read-only): {sql}\"));"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7096f09b-9f86-4121-a2ae-256b8617e117","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"54f2ebf7-3b36-4797-9cf3-79a7b56b3b47","isSidechain":false,"message":{"model":"claude-fable-5","id":"msg_01AW32R4qBzKbwvc3oawttR5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JSTJaG8fYHd1M3jySR4non","name":"Edit","input":{"replace_all":false,"file_path":"/Users/marcus.hinz/projects/08-07/src-tauri/src/lib.rs","old_string":"#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {","new_string":"// ---------------------------------------------------------------------------\n// Vorschlagsengine: Profil (Gewerk / Land / Größe) + Fahrzeug -> Claude stellt\n// aus den Modulen historischer Aufträge ähnlicher Kunden eine Konfiguration\n// zusammen. Preise kommen aus der Historie (Ø EUR), nicht vom LLM.\n// ---------------------------------------------------------------------------\n\n#[derive(Serialize)]\nstruct VorschlagPosition {\n modul_id: String,\n artikelnummer: Option<String>,\n klartext: String,\n menge: i64,\n einzelpreis_eur: f64,\n begruendung: String,\n}\n\n#[derive(Serialize)]\nstruct VorschlagAntwort {\n n_basis: i64, // Aufträge, die zum Profil passen\n n_kandidaten: i64, // Module, aus denen gewählt wurde\n erklaerung: String,\n positionen: Vec<VorschlagPosition>,\n}\n\nstruct Kandidat {\n klartext: String,\n artikelnummer: Option<String>,\n n_auftraege: i64,\n avg_menge: f64,\n avg_preis_eur: f64,\n}\n\nconst VORSCHLAG_TMPL: &str = \"Du konfigurierst Würth-Fahrzeugeinrichtungen. Aus den Modulen \\\nhistorischer Aufträge ähnlicher Kunden stellst du EINE stimmige Vorschlagskonfiguration für das \\\nangegebene Profil zusammen. Antworte AUSSCHLIESSLICH mit einem JSON-Objekt, keine Erklärung \\\ndavor/danach, keine Markdown-Zäune.\\n\\\nRegeln:\\n\\\n- Verwende ausschließlich modul_id-Werte aus der Kandidatenliste.\\n\\\n- Häufigkeit (in wie vielen Aufträgen ein Modul vorkam) ist das wichtigste Signal.\\n\\\n- Eine komplette Einrichtung: Basis (Boden/Verkleidung) falls in der Liste, dann Regale/Schränke, \\\ndann Befestigung/Zubehör. Typisch 6-15 Positionen.\\n\\\n- menge ganzzahlig, an der Ø-Menge orientiert.\\n\\\n- begruendung: ein kurzer Halbsatz je Position.\\n\\\nJSON-Format:\\n\\\n{\\\"erklaerung\\\": \\\"<2-3 Sätze, warum diese Konfiguration zum Profil passt>\\\", \\\n\\\"positionen\\\": [{\\\"modul_id\\\": \\\"<aus Liste>\\\", \\\"menge\\\": 1, \\\"begruendung\\\": \\\"<kurz>\\\"}]}\";\n\nconst VORSCHLAG_FILTER: &str = \"(?1 = '' OR f.gewerk = ?1) \\\n AND (?2 = '' OR k.land = ?2) \\\n AND (?3 = '' OR f.mitarbeiter_kl = ?3) \\\n AND (?4 = '' OR v.fzg_klasse = ?4) \\\n AND (?5 = '' OR v.groesse = ?5)\";\n\nfn vorschlag_ai_inner(\n gewerk: String,\n land: String,\n groesse: String,\n fzg_klasse: String,\n fzg_groesse: String,\n) -> Result<VorschlagAntwort, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let params = rusqlite::params![gewerk, land, groesse, fzg_klasse, fzg_groesse];\n\n // Basis: wie viele Aufträge passen zum Profil\n let n_basis: i64 = con\n .query_row(\n &format!(\n \"SELECT COUNT(DISTINCT a.auftrag_id) \\\n FROM auftraege a \\\n JOIN kunden k USING (kunde_id) \\\n LEFT JOIN kunde_firmendaten f USING (kunde_id) \\\n LEFT JOIN auftrag_fzg v USING (auftrag_id) \\\n WHERE {VORSCHLAG_FILTER}\"\n ),\n params,\n |r| r.get(0),\n )\n .map_err(|e| e.to_string())?;\n if n_basis == 0 {\n return Err(\"Keine Aufträge passen zu diesem Profil — Filter lockern.\".to_string());\n }\n\n // Kandidaten: Module dieser Aufträge, nach Häufigkeit\n let mut stmt = con\n .prepare(&format!(\n \"SELECT p.modul_id, COALESCE(m.klartext, p.modul_id), m.artikelnummer, \\\n COUNT(DISTINCT p.auftrag_id) AS n, \\\n AVG(COALESCE(p.menge, 1)), \\\n AVG(p.preis / COALESCE(a.wechselkurs, 1)) \\\n FROM positionen p \\\n JOIN auftraege a ON a.auftrag_id = p.auftrag_id \\\n JOIN kunden k ON k.kunde_id = a.kunde_id \\\n LEFT JOIN kunde_firmendaten f ON f.kunde_id = k.kunde_id \\\n LEFT JOIN auftrag_fzg v ON v.auftrag_id = p.auftrag_id \\\n LEFT JOIN module m ON m.modul_id = p.modul_id \\\n WHERE {VORSCHLAG_FILTER} \\\n GROUP BY p.modul_id ORDER BY n DESC LIMIT 60\"\n ))\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map(params, |r| {\n Ok((\n r.get::<_, String>(0)?,\n Kandidat {\n klartext: r.get(1)?,\n artikelnummer: r.get(2)?,\n n_auftraege: r.get(3)?,\n avg_menge: r.get(4)?,\n avg_preis_eur: r.get(5)?,\n },\n ))\n })\n .map_err(|e| e.to_string())?;\n let mut kandidaten: Vec<(String, Kandidat)> = Vec::new();\n for row in rows {\n kandidaten.push(row.map_err(|e| e.to_string())?);\n }\n\n // Prompt: Profil + Kandidatenliste\n let oder = |v: &str| if v.is_empty() { \"beliebig\".to_string() } else { v.to_string() };\n let fahrzeug = if fzg_klasse.is_empty() && fzg_groesse.is_empty() {\n \"beliebig\".to_string()\n } else {\n format!(\"{} {}\", oder(&fzg_klasse), fzg_groesse).trim().to_string()\n };\n let mut user = format!(\n \"Profil:\\n- Gewerk: {}\\n- Land: {}\\n- Größe (Mitarbeiter): {}\\n- Fahrzeug: {}\\n\\\n Basis: {} Aufträge passen zum Profil.\\n\\n\\\n Kandidaten (modul_id | Bezeichnung | Artikelnr | in Aufträgen | Ø Menge | Ø Preis EUR):\\n\",\n oder(&gewerk),\n oder(&land),\n oder(&groesse),\n fahrzeug,\n n_basis\n );\n for (id, k) in &kandidaten {\n user.push_str(&format!(\n \"{} | {} | {} | {} | {:.1} | {:.2}\\n\",\n id,\n k.klartext,\n k.artikelnummer.as_deref().unwrap_or(\"—\"),\n k.n_auftraege,\n k.avg_menge,\n k.avg_preis_eur\n ));\n }\n\n let text = claude_text(\"claude-sonnet-5\", true, 4096, VORSCHLAG_TMPL, &user)?;\n let spec = json_objekt(&text)?;\n\n let erklaerung = spec[\"erklaerung\"].as_str().unwrap_or(\"\").to_string();\n let pos_arr = spec[\"positionen\"]\n .as_array()\n .ok_or(\"keine positionen im LLM-JSON\")?;\n\n let kand_map: std::collections::HashMap<&str, &Kandidat> =\n kandidaten.iter().map(|(id, k)| (id.as_str(), k)).collect();\n let mut positionen = Vec::new();\n for p in pos_arr {\n let id = p[\"modul_id\"].as_str().ok_or(\"modul_id fehlt im LLM-JSON\")?;\n let menge = p[\"menge\"]\n .as_i64()\n .ok_or_else(|| format!(\"menge fehlt bei {id}\"))?;\n let k = kand_map\n .get(id)\n .ok_or_else(|| format!(\"LLM lieferte modul_id außerhalb der Kandidaten: {id}\"))?;\n positionen.push(VorschlagPosition {\n modul_id: id.to_string(),\n artikelnummer: k.artikelnummer.clone(),\n klartext: k.klartext.clone(),\n menge,\n einzelpreis_eur: k.avg_preis_eur,\n begruendung: p[\"begruendung\"].as_str().unwrap_or(\"\").to_string(),\n });\n }\n\n Ok(VorschlagAntwort {\n n_basis,\n n_kandidaten: kandidaten.len() as i64,\n erklaerung,\n positionen,\n })\n}\n\n#[tauri::command]\nasync fn vorschlag_ai(\n gewerk: String,\n land: String,\n groesse: String,\n fzg_klasse: String,\n fzg_groesse: String,\n) -> Result<VorschlagAntwort, String> {\n tauri::async_runtime::spawn_blocking(move || {\n vorschlag_ai_inner(gewerk, land, groesse, fzg_klasse, fzg_groesse)\n })\n .await\n .map_err(|e| e.to_string())?\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() 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{"parentUuid":"d75c9807-5e47-4ccc-821f-777e63f2cf27","isSidechain":false,"promptId":"a4dc4d46-b486-4397-adf2-5fcdd9841729","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JSTJaG8fYHd1M3jySR4non","type":"tool_result","content":"The file /Users/marcus.hinz/projects/08-07/src-tauri/src/lib.rs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"b42d17a1-86de-45bd-b3d3-5cd9641d6781","timestamp":"2026-07-06T08:22:54.357Z","toolUseResult":{"filePath":"/Users/marcus.hinz/projects/08-07/src-tauri/src/lib.rs","oldString":"#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {","newString":"// ---------------------------------------------------------------------------\n// Vorschlagsengine: Profil (Gewerk / Land / Größe) + Fahrzeug -> Claude stellt\n// aus den Modulen historischer Aufträge ähnlicher Kunden eine Konfiguration\n// zusammen. Preise kommen aus der Historie (Ø EUR), nicht vom LLM.\n// ---------------------------------------------------------------------------\n\n#[derive(Serialize)]\nstruct VorschlagPosition {\n modul_id: String,\n artikelnummer: Option<String>,\n klartext: String,\n menge: i64,\n einzelpreis_eur: f64,\n begruendung: String,\n}\n\n#[derive(Serialize)]\nstruct VorschlagAntwort {\n n_basis: i64, // Aufträge, die zum Profil passen\n n_kandidaten: i64, // Module, aus denen gewählt wurde\n erklaerung: String,\n positionen: Vec<VorschlagPosition>,\n}\n\nstruct Kandidat {\n klartext: String,\n artikelnummer: Option<String>,\n n_auftraege: i64,\n avg_menge: f64,\n avg_preis_eur: f64,\n}\n\nconst VORSCHLAG_TMPL: &str = \"Du konfigurierst Würth-Fahrzeugeinrichtungen. Aus den Modulen \\\nhistorischer Aufträge ähnlicher Kunden stellst du EINE stimmige Vorschlagskonfiguration für das \\\nangegebene Profil zusammen. Antworte AUSSCHLIESSLICH mit einem JSON-Objekt, keine Erklärung \\\ndavor/danach, keine Markdown-Zäune.\\n\\\nRegeln:\\n\\\n- Verwende ausschließlich modul_id-Werte aus der Kandidatenliste.\\n\\\n- Häufigkeit (in wie vielen Aufträgen ein Modul vorkam) ist das wichtigste Signal.\\n\\\n- Eine komplette Einrichtung: Basis (Boden/Verkleidung) falls in der Liste, dann Regale/Schränke, \\\ndann Befestigung/Zubehör. Typisch 6-15 Positionen.\\n\\\n- menge ganzzahlig, an der Ø-Menge orientiert.\\n\\\n- begruendung: ein kurzer Halbsatz je Position.\\n\\\nJSON-Format:\\n\\\n{\\\"erklaerung\\\": \\\"<2-3 Sätze, warum diese Konfiguration zum Profil passt>\\\", \\\n\\\"positionen\\\": [{\\\"modul_id\\\": \\\"<aus Liste>\\\", \\\"menge\\\": 1, \\\"begruendung\\\": \\\"<kurz>\\\"}]}\";\n\nconst VORSCHLAG_FILTER: &str = \"(?1 = '' OR f.gewerk = ?1) \\\n AND (?2 = '' OR k.land = ?2) \\\n AND (?3 = '' OR f.mitarbeiter_kl = ?3) \\\n AND (?4 = '' OR v.fzg_klasse = ?4) \\\n AND (?5 = '' OR v.groesse = ?5)\";\n\nfn vorschlag_ai_inner(\n gewerk: String,\n land: String,\n groesse: String,\n fzg_klasse: String,\n fzg_groesse: String,\n) -> Result<VorschlagAntwort, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let params = rusqlite::params![gewerk, land, groesse, fzg_klasse, fzg_groesse];\n\n // Basis: wie viele Aufträge passen zum Profil\n let n_basis: i64 = con\n .query_row(\n &format!(\n \"SELECT COUNT(DISTINCT a.auftrag_id) \\\n FROM auftraege a \\\n JOIN kunden k USING (kunde_id) \\\n LEFT JOIN kunde_firmendaten f USING (kunde_id) \\\n LEFT JOIN auftrag_fzg v USING (auftrag_id) \\\n WHERE {VORSCHLAG_FILTER}\"\n ),\n params,\n |r| r.get(0),\n )\n .map_err(|e| e.to_string())?;\n if n_basis == 0 {\n return Err(\"Keine Aufträge passen zu diesem Profil — Filter lockern.\".to_string());\n }\n\n // Kandidaten: Module dieser Aufträge, nach Häufigkeit\n let mut stmt = con\n .prepare(&format!(\n \"SELECT p.modul_id, COALESCE(m.klartext, p.modul_id), m.artikelnummer, \\\n COUNT(DISTINCT p.auftrag_id) AS n, \\\n AVG(COALESCE(p.menge, 1)), \\\n AVG(p.preis / COALESCE(a.wechselkurs, 1)) \\\n FROM positionen p \\\n JOIN auftraege a ON a.auftrag_id = p.auftrag_id \\\n JOIN kunden k ON k.kunde_id = a.kunde_id \\\n LEFT JOIN kunde_firmendaten f ON f.kunde_id = k.kunde_id \\\n LEFT JOIN auftrag_fzg v ON v.auftrag_id = p.auftrag_id \\\n LEFT JOIN module m ON m.modul_id = p.modul_id \\\n WHERE {VORSCHLAG_FILTER} \\\n GROUP BY p.modul_id ORDER BY n DESC LIMIT 60\"\n ))\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map(params, |r| {\n Ok((\n r.get::<_, String>(0)?,\n Kandidat {\n klartext: r.get(1)?,\n artikelnummer: r.get(2)?,\n n_auftraege: r.get(3)?,\n avg_menge: r.get(4)?,\n avg_preis_eur: r.get(5)?,\n },\n ))\n })\n .map_err(|e| e.to_string())?;\n let mut kandidaten: Vec<(String, Kandidat)> = Vec::new();\n for row in rows {\n kandidaten.push(row.map_err(|e| e.to_string())?);\n }\n\n // Prompt: Profil + Kandidatenliste\n let oder = |v: &str| if v.is_empty() { \"beliebig\".to_string() } else { v.to_string() };\n let fahrzeug = if fzg_klasse.is_empty() && fzg_groesse.is_empty() {\n \"beliebig\".to_string()\n } else {\n format!(\"{} {}\", oder(&fzg_klasse), fzg_groesse).trim().to_string()\n };\n let mut user = format!(\n \"Profil:\\n- Gewerk: {}\\n- Land: {}\\n- Größe (Mitarbeiter): {}\\n- Fahrzeug: {}\\n\\\n Basis: {} Aufträge passen zum Profil.\\n\\n\\\n Kandidaten (modul_id | Bezeichnung | Artikelnr | in Aufträgen | Ø Menge | Ø Preis EUR):\\n\",\n oder(&gewerk),\n oder(&land),\n oder(&groesse),\n fahrzeug,\n n_basis\n );\n for (id, k) in &kandidaten {\n user.push_str(&format!(\n \"{} | {} | {} | {} | {:.1} | {:.2}\\n\",\n id,\n k.klartext,\n k.artikelnummer.as_deref().unwrap_or(\"—\"),\n k.n_auftraege,\n k.avg_menge,\n k.avg_preis_eur\n ));\n }\n\n let text = claude_text(\"claude-sonnet-5\", true, 4096, VORSCHLAG_TMPL, &user)?;\n let spec = json_objekt(&text)?;\n\n let erklaerung = spec[\"erklaerung\"].as_str().unwrap_or(\"\").to_string();\n let pos_arr = spec[\"positionen\"]\n .as_array()\n .ok_or(\"keine positionen im LLM-JSON\")?;\n\n let kand_map: std::collections::HashMap<&str, &Kandidat> =\n kandidaten.iter().map(|(id, k)| (id.as_str(), k)).collect();\n let mut positionen = Vec::new();\n for p in pos_arr {\n let id = p[\"modul_id\"].as_str().ok_or(\"modul_id fehlt im LLM-JSON\")?;\n let menge = p[\"menge\"]\n .as_i64()\n .ok_or_else(|| format!(\"menge fehlt bei {id}\"))?;\n let k = kand_map\n .get(id)\n .ok_or_else(|| format!(\"LLM lieferte modul_id außerhalb der Kandidaten: {id}\"))?;\n positionen.push(VorschlagPosition {\n modul_id: id.to_string(),\n artikelnummer: k.artikelnummer.clone(),\n klartext: k.klartext.clone(),\n menge,\n einzelpreis_eur: k.avg_preis_eur,\n begruendung: p[\"begruendung\"].as_str().unwrap_or(\"\").to_string(),\n });\n }\n\n Ok(VorschlagAntwort {\n n_basis,\n n_kandidaten: kandidaten.len() as i64,\n erklaerung,\n positionen,\n })\n}\n\n#[tauri::command]\nasync fn vorschlag_ai(\n gewerk: String,\n land: String,\n groesse: String,\n fzg_klasse: String,\n fzg_groesse: String,\n) -> Result<VorschlagAntwort, String> {\n tauri::async_runtime::spawn_blocking(move || {\n vorschlag_ai_inner(gewerk, land, groesse, fzg_klasse, fzg_groesse)\n })\n .await\n .map_err(|e| e.to_string())?\n}\n\n#[cfg_attr(mobile, tauri::mobile_entry_point)]\npub fn run() {","originalFile":null,"structuredPatch":[{"oldStart":388,"oldLines":6,"newStart":388,"newLines":205,"lines":[" .map_err(|e| e.to_string())?"," }"," ","+// ---------------------------------------------------------------------------","+// Vorschlagsengine: Profil (Gewerk / Land / Größe) + Fahrzeug -> Claude stellt","+// aus den Modulen historischer Aufträge ähnlicher Kunden eine Konfiguration","+// zusammen. Preise kommen aus der Historie (Ø EUR), nicht vom LLM.","+// ---------------------------------------------------------------------------","+","+#[derive(Serialize)]","+struct VorschlagPosition {","+ modul_id: String,","+ artikelnummer: Option<String>,","+ klartext: String,","+ menge: i64,","+ einzelpreis_eur: f64,","+ begruendung: String,","+}","+","+#[derive(Serialize)]","+struct VorschlagAntwort {","+ n_basis: i64, // Aufträge, die zum Profil passen","+ n_kandidaten: i64, // Module, aus denen gewählt wurde","+ erklaerung: String,","+ positionen: Vec<VorschlagPosition>,","+}","+","+struct Kandidat {","+ klartext: String,","+ artikelnummer: Option<String>,","+ n_auftraege: i64,","+ avg_menge: f64,","+ avg_preis_eur: f64,","+}","+","+const VORSCHLAG_TMPL: &str = \"Du konfigurierst Würth-Fahrzeugeinrichtungen. Aus den Modulen \\","+historischer Aufträge ähnlicher Kunden stellst du EINE stimmige Vorschlagskonfiguration für das \\","+angegebene Profil zusammen. Antworte AUSSCHLIESSLICH mit einem JSON-Objekt, keine Erklärung \\","+davor/danach, keine Markdown-Zäune.\\n\\","+Regeln:\\n\\","+- Verwende ausschließlich modul_id-Werte aus der Kandidatenliste.\\n\\","+- Häufigkeit (in wie vielen Aufträgen ein Modul vorkam) ist das wichtigste Signal.\\n\\","+- Eine komplette Einrichtung: Basis (Boden/Verkleidung) falls in der Liste, dann Regale/Schränke, \\","+dann Befestigung/Zubehör. Typisch 6-15 Positionen.\\n\\","+- menge ganzzahlig, an der Ø-Menge orientiert.\\n\\","+- begruendung: ein kurzer Halbsatz je Position.\\n\\","+JSON-Format:\\n\\","+{\\\"erklaerung\\\": \\\"<2-3 Sätze, warum diese Konfiguration zum Profil passt>\\\", \\","+\\\"positionen\\\": [{\\\"modul_id\\\": \\\"<aus Liste>\\\", \\\"menge\\\": 1, \\\"begruendung\\\": \\\"<kurz>\\\"}]}\";","+","+const VORSCHLAG_FILTER: &str = \"(?1 = '' OR f.gewerk = ?1) \\","+ AND (?2 = '' OR k.land = ?2) \\","+ AND (?3 = '' OR f.mitarbeiter_kl = ?3) \\","+ AND (?4 = '' OR v.fzg_klasse = ?4) \\","+ AND (?5 = '' OR v.groesse = ?5)\";","+","+fn vorschlag_ai_inner(","+ gewerk: String,","+ land: String,","+ groesse: String,","+ fzg_klasse: String,","+ fzg_groesse: String,","+) -> Result<VorschlagAntwort, String> {","+ let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;","+ let params = rusqlite::params![gewerk, land, groesse, fzg_klasse, fzg_groesse];","+","+ // Basis: wie viele Aufträge passen zum Profil","+ let n_basis: i64 = con","+ .query_row(","+ &format!(","+ \"SELECT COUNT(DISTINCT a.auftrag_id) \\","+ FROM auftraege a \\","+ JOIN kunden k USING (kunde_id) \\","+ LEFT JOIN kunde_firmendaten f USING (kunde_id) \\","+ LEFT JOIN auftrag_fzg v USING (auftrag_id) \\","+ WHERE {VORSCHLAG_FILTER}\"","+ ),","+ params,","+ |r| r.get(0),","+ )","+ .map_err(|e| e.to_string())?;","+ if n_basis == 0 {","+ return Err(\"Keine Aufträge passen zu diesem Profil — Filter lockern.\".to_string());","+ }","+","+ // Kandidaten: Module dieser Aufträge, nach Häufigkeit","+ let mut stmt = con","+ .prepare(&format!(","+ \"SELECT p.modul_id, COALESCE(m.klartext, p.modul_id), m.artikelnummer, \\","+ COUNT(DISTINCT p.auftrag_id) AS n, \\","+ AVG(COALESCE(p.menge, 1)), \\","+ AVG(p.preis / COALESCE(a.wechselkurs, 1)) \\","+ FROM positionen p \\","+ JOIN auftraege a ON a.auftrag_id = p.auftrag_id \\","+ JOIN kunden k ON k.kunde_id = a.kunde_id \\","+ LEFT JOIN kunde_firmendaten f ON f.kunde_id = k.kunde_id \\","+ LEFT JOIN auftrag_fzg v ON v.auftrag_id = p.auftrag_id \\","+ LEFT JOIN module m ON m.modul_id = p.modul_id \\","+ WHERE {VORSCHLAG_FILTER} \\","+ GROUP BY p.modul_id ORDER BY n DESC LIMIT 60\"","+ ))","+ .map_err(|e| e.to_string())?;","+ let rows = stmt","+ .query_map(params, |r| {","+ Ok((","+ r.get::<_, String>(0)?,","+ Kandidat {","+ klartext: r.get(1)?,","+ artikelnummer: r.get(2)?,","+ n_auftraege: r.get(3)?,","+ avg_menge: r.get(4)?,","+ avg_preis_eur: r.get(5)?,","+ },","+ ))","+ })","+ .map_err(|e| e.to_string())?;","+ let mut kandidaten: Vec<(String, Kandidat)> = Vec::new();","+ for row in rows {","+ kandidaten.push(row.map_err(|e| e.to_string())?);","+ }","+","+ // Prompt: Profil + Kandidatenliste","+ let oder = |v: &str| if v.is_empty() { \"beliebig\".to_string() } else { v.to_string() };","+ let fahrzeug = if fzg_klasse.is_empty() && fzg_groesse.is_empty() {","+ \"beliebig\".to_string()","+ } else {","+ format!(\"{} {}\", oder(&fzg_klasse), fzg_groesse).trim().to_string()","+ };","+ let mut user = format!(","+ \"Profil:\\n- Gewerk: {}\\n- Land: {}\\n- Größe (Mitarbeiter): {}\\n- Fahrzeug: {}\\n\\","+ Basis: {} Aufträge passen zum Profil.\\n\\n\\","+ Kandidaten (modul_id | Bezeichnung | Artikelnr | in Aufträgen | Ø Menge | Ø Preis EUR):\\n\",","+ oder(&gewerk),","+ oder(&land),","+ oder(&groesse),","+ fahrzeug,","+ n_basis","+ );","+ for (id, k) in &kandidaten {","+ user.push_str(&format!(","+ \"{} | {} | {} | {} | {:.1} | {:.2}\\n\",","+ id,","+ k.klartext,","+ k.artikelnummer.as_deref().unwrap_or(\"—\"),","+ k.n_auftraege,","+ k.avg_menge,","+ k.avg_preis_eur","+ ));","+ }","+","+ let text = claude_text(\"claude-sonnet-5\", true, 4096, VORSCHLAG_TMPL, &user)?;","+ let spec = json_objekt(&text)?;","+","+ let erklaerung = spec[\"erklaerung\"].as_str().unwrap_or(\"\").to_string();","+ let pos_arr = spec[\"positionen\"]","+ .as_array()","+ .ok_or(\"keine positionen im LLM-JSON\")?;","+","+ let kand_map: std::collections::HashMap<&str, &Kandidat> =","+ kandidaten.iter().map(|(id, k)| (id.as_str(), k)).collect();","+ let mut positionen = Vec::new();","+ for p in pos_arr {","+ let id = p[\"modul_id\"].as_str().ok_or(\"modul_id fehlt im LLM-JSON\")?;","+ let menge = p[\"menge\"]","+ .as_i64()","+ .ok_or_else(|| format!(\"menge fehlt bei {id}\"))?;","+ let k = kand_map","+ .get(id)","+ .ok_or_else(|| format!(\"LLM lieferte modul_id außerhalb der Kandidaten: {id}\"))?;","+ positionen.push(VorschlagPosition {","+ modul_id: id.to_string(),","+ artikelnummer: k.artikelnummer.clone(),","+ klartext: k.klartext.clone(),","+ menge,","+ einzelpreis_eur: k.avg_preis_eur,","+ begruendung: p[\"begruendung\"].as_str().unwrap_or(\"\").to_string(),","+ });","+ }","+","+ Ok(VorschlagAntwort {","+ n_basis,","+ n_kandidaten: kandidaten.len() as i64,","+ erklaerung,","+ positionen,","+ })","+}","+","+#[tauri::command]","+async fn vorschlag_ai(","+ gewerk: String,","+ land: String,","+ groesse: String,","+ fzg_klasse: String,","+ fzg_groesse: String,","+) -> Result<VorschlagAntwort, String> {","+ tauri::async_runtime::spawn_blocking(move || {","+ vorschlag_ai_inner(gewerk, land, groesse, fzg_klasse, fzg_groesse)","+ })","+ .await","+ .map_err(|e| e.to_string())?","+}","+"," #[cfg_attr(mobile, tauri::mobile_entry_point)]"," pub fn run() {"," tauri::Builder::default()"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d75c9807-5e47-4ccc-821f-777e63f2cf27","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"92b8d810-bcdb-47dd-9115-ad45f8f42053","isSidechain":false,"message":{"model":"claude-fable-5","id":"msg_0183g91SDvL51Qmq1pq3go8w","type":"message","role":"assistant","content":[{"type":"text","text":"Verstanden — das LLM bleibt drin, die Statistik ersetzt es nicht, sie füttert es. Korrigierter Plan:\n\n1. **Rust berechnet die Korrelationsdaten**: je Modul Häufigkeit im Bereich vs. Gesamtbestand (Lift), je Profilmerkmal ob es die Modulwahl überhaupt verschiebt.\n2. **Das LLM bekommt diese Zahlen als Kontext** und erzeugt daraus die Vorschlagskonfiguration: wählt Module und Mengen, begründet jede Position mit den Korrelationen („in 70 % der Kfz-Aufträge, Lift 2,3 gegenüber gesamt\"), und benennt, welche Profilmerkmale keinen Einfluss hatten und deshalb ignoriert wurden.\n3. **UI**: Profil wählen → Vorschlagstabelle mit Begründungen + Zeile „ohne Einfluss: …\"; die rohe Korrelationstabelle aufklappbar wie „SQL anzeigen\" im Fragen-Tab.\n\nDer Mehrwert des LLM: Es interpretiert die Korrelationen zu einer stimmigen Konfiguration mit nachvollziehbarer Begründung, statt nur eine sortierte Liste auszugeben.\n\nGo, dann baue ich um."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1376,"cache_read_input_tokens":106414,"output_tokens":487,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1376,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":487,"cache_read_input_tokens":106414,"cache_creation_input_tokens":1376,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1376},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CckXf9Hkamab2kS64CfgY","type":"assistant","uuid":"08c11ca2-cdb3-4474-9b06-d9bf8edb01da","timestamp":"2026-07-06T08:59:47.376Z","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"b6c7a0e3-7b4e-4d17-8106-9f2d4208064d","isSidechain":false,"promptId":"b0d510da-e2e9-4b96-9e2b-0eefcaa2c6f7","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nmodul_id|kt|n\nMVSBS|Seitenbefestigung Modular und V­System|106\nVKB01|Knotenblech|100\nVBW003|Bodenwinkelsatz für Bodenbefestigung|88\nLOGOCLIP|Logoclip|80\nVD032|Distanzstrebe|55\nMAM40|Antirutschmatte fürMSM302 MSM32|54\nVK235|Klappe 180mm|49\nDH5|Aluminiumdosenhalter|44\nVSM23|Schublade|43\nVULSS032|Unterzug Ladungssicherungsschiene Stahl|43\nMAM34|Antirutschmatte für VLR403 VBR02|40\nVD022|Distanzstrebe|40\nVD042|Distanzstrebe|39\nLSV2|Lamellenstopfen für Staenderrahmen|38\nMAM80|Antirutschmatte für MSMS32 MSMS33 MSMS34|37\nVF010|Fachboden|37\nVULSS042|Unterzug|37\nLW5|Langgutwanne 270|36\nMAM75|Antirutschmatte für LW5|36\nVF030|Fachboden|34\nVK245|Klappe 180mm|33\nKSG48|Klemmschlosszurrgurt Airlineprofil|30\nRZG1000|Ratschenzurrgurt Airlineprofil|30\nLG1000|Leitergummi|29\nSHNM|Schlauchhalter Mittel|29\nDT130|Drehteller|28\nPS130|Schraubstock Spannweite 100mm|28\nVSMS33|Schublade|28\nSPGFU01|Klemmschlossgurt für Unterbauten|26\nVBW008|Bodenwinkelsatz für|26\nVSM25|Schublade|26\nYYY001|YYY001|26\nARZG20|Automatik Rollzurrgurt Airlineprofil|25\nRZG1011|Ratschenzurrgurt Airlineprofil|25\nVF020|Fachboden|25\n(eval):1: == not found","is_error":true,"tool_use_id":"toolu_014Vqjv7yJ7ZH3mngSt8ZcgY"}]},"uuid":"0b04f56e-3c02-4565-9729-27ebf7123e3b","timestamp":"2026-07-06T09:15:46.102Z","toolUseResult":"Error: Exit code 1\nmodul_id|kt|n\nMVSBS|Seitenbefestigung Modular und V­System|106\nVKB01|Knotenblech|100\nVBW003|Bodenwinkelsatz für Bodenbefestigung|88\nLOGOCLIP|Logoclip|80\nVD032|Distanzstrebe|55\nMAM40|Antirutschmatte fürMSM302 MSM32|54\nVK235|Klappe 180mm|49\nDH5|Aluminiumdosenhalter|44\nVSM23|Schublade|43\nVULSS032|Unterzug Ladungssicherungsschiene Stahl|43\nMAM34|Antirutschmatte für VLR403 VBR02|40\nVD022|Distanzstrebe|40\nVD042|Distanzstrebe|39\nLSV2|Lamellenstopfen für Staenderrahmen|38\nMAM80|Antirutschmatte für MSMS32 MSMS33 MSMS34|37\nVF010|Fachboden|37\nVULSS042|Unterzug|37\nLW5|Langgutwanne 270|36\nMAM75|Antirutschmatte für LW5|36\nVF030|Fachboden|34\nVK245|Klappe 180mm|33\nKSG48|Klemmschlosszurrgurt Airlineprofil|30\nRZG1000|Ratschenzurrgurt Airlineprofil|30\nLG1000|Leitergummi|29\nSHNM|Schlauchhalter Mittel|29\nDT130|Drehteller|28\nPS130|Schraubstock Spannweite 100mm|28\nVSMS33|Schublade|28\nSPGFU01|Klemmschlossgurt für Unterbauten|26\nVBW008|Bodenwinkelsatz für|26\nVSM25|Schublade|26\nYYY001|YYY001|26\nARZG20|Automatik Rollzurrgurt Airlineprofil|25\nRZG1011|Ratschenzurrgurt Airlineprofil|25\nVF020|Fachboden|25\n(eval):1: == not found","sourceToolAssistantUUID":"b6c7a0e3-7b4e-4d17-8106-9f2d4208064d","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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(file state is current in your context — no need to Read it back)"}]},"uuid":"659eb7c1-f01d-4ed1-9d41-b717a36f959c","timestamp":"2026-07-06T09:19:22.985Z","toolUseResult":{"filePath":"/Users/marcus.hinz/projects/08-07/pipeline/schema.sql","oldString":"-- Fahrzeug je Auftrag, aus den .plax-Rohtexten per LLM extrahiert (Veredelung).","newString":"-- Harte Kompatibilitätsregeln Modul x Fahrzeug (handgepflegt, Demo).\n-- Ein Treffer sperrt den Vorschlag nicht, sondern flaggt die Position.\nDROP TABLE IF EXISTS regeln;\nCREATE TABLE regeln (\n regel_id INTEGER PRIMARY KEY,\n klartext_muster TEXT NOT NULL, -- LIKE auf module.klartext bzw. modul_id\n fzg_klasse TEXT, -- Konflikt nur bei dieser Klasse (NULL = jede)\n groesse_muster TEXT, -- LIKE auf die gewählte Fahrzeuggröße (NULL = jede)\n text TEXT NOT NULL -- Klartext fürs Flag\n);\n\nINSERT INTO regeln (klartext_muster, fzg_klasse, groesse_muster, text) VALUES\n ('%Werkbank%', NULL, 'L1%', 'Werkbank braucht Laderaumlänge ab L2 — passt nicht in L1'),\n ('%Schraubstock%', NULL, 'L1%', 'Schraubstock sitzt auf der Werkbank — braucht ab L2'),\n ('%Langgutwanne%270%', NULL, 'L1%', 'Langgutwanne 270 cm braucht Laderaumlänge ab L2'),\n ('%Langgutwanne%330%', NULL, 'L1%', 'Langgutwanne 330 cm braucht L3'),\n ('%Langgutwanne%330%', NULL, 'L2%', 'Langgutwanne 330 cm braucht L3'),\n ('%Staenderrahmen%', 'pickup', NULL, 'Ständerrahmen nur im Kastenwagen — Pickup hat offene Pritsche');\n\n-- Fahrzeug je Auftrag, aus den .plax-Rohtexten per LLM extrahiert (Veredelung).","originalFile":"-- 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","structuredPatch":[{"oldStart":131,"oldLines":6,"newStart":131,"newLines":25,"lines":[" veredelt_am TEXT"," );"," ","+-- Harte Kompatibilitätsregeln Modul x Fahrzeug (handgepflegt, Demo).","+-- Ein Treffer sperrt den Vorschlag nicht, sondern flaggt die Position.","+DROP TABLE IF EXISTS regeln;","+CREATE TABLE regeln (","+ regel_id INTEGER PRIMARY KEY,","+ klartext_muster TEXT NOT NULL, -- LIKE auf module.klartext bzw. modul_id","+ fzg_klasse TEXT, -- Konflikt nur bei dieser Klasse (NULL = jede)","+ groesse_muster TEXT, -- LIKE auf die gewählte Fahrzeuggröße (NULL = jede)","+ text TEXT NOT NULL -- Klartext fürs Flag","+);","+","+INSERT INTO regeln (klartext_muster, fzg_klasse, groesse_muster, text) VALUES","+ ('%Werkbank%', NULL, 'L1%', 'Werkbank braucht Laderaumlänge ab L2 — passt nicht in L1'),","+ ('%Schraubstock%', NULL, 'L1%', 'Schraubstock sitzt auf der Werkbank — braucht ab L2'),","+ ('%Langgutwanne%270%', NULL, 'L1%', 'Langgutwanne 270 cm braucht Laderaumlänge ab L2'),","+ ('%Langgutwanne%330%', NULL, 'L1%', 'Langgutwanne 330 cm braucht L3'),","+ ('%Langgutwanne%330%', NULL, 'L2%', 'Langgutwanne 330 cm braucht L3'),","+ ('%Staenderrahmen%', 'pickup', NULL, 'Ständerrahmen nur im Kastenwagen — Pickup hat offene Pritsche');","+"," -- Fahrzeug je Auftrag, aus den .plax-Rohtexten per LLM extrahiert (Veredelung)."," CREATE TABLE auftrag_fzg ("," auftrag_id TEXT PRIMARY KEY REFERENCES auftraege(auftrag_id),"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d013916c-6865-43fa-b9bf-c6eb7cdd102d","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":599,"cache_read_input_tokens":125795,"output_tokens":6417,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":599,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":6417,"cache_read_input_tokens":125795,"cache_creation_input_tokens":599,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":599},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CckbKsBZxFDgdVavT4U9x","type":"assistant","uuid":"5ce795cf-7a6d-4631-a93f-ddaff3cc39e9","timestamp":"2026-07-06T09:48:58.302Z","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"eb6f5937-2e7e-4759-8ac2-e10926812a9e","isSidechain":false,"message":{"model":"claude-fable-5","id":"msg_01AmJGZ4TJ5SdgLFqjMbkrtN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CCDyVcEcWU6R3QSPA59dhw","name":"Edit","input":{"replace_all":false,"file_path":"/Users/marcus.hinz/projects/08-07/src-tauri/src/lib.rs","old_string":"// ---------------------------------------------------------------------------\n// Vorschlagsengine: Profil (Gewerk / Land / Größe) + Fahrzeug -> Claude stellt\n// aus den Modulen historischer Aufträge ähnlicher Kunden eine Konfiguration\n// zusammen. Preise kommen aus der Historie (Ø EUR), nicht vom LLM.\n// ---------------------------------------------------------------------------\n\n#[derive(Serialize)]\nstruct VorschlagPosition {\n modul_id: String,\n artikelnummer: Option<String>,\n klartext: String,\n menge: i64,\n einzelpreis_eur: f64,\n begruendung: String,\n}\n\n#[derive(Serialize)]\nstruct VorschlagAntwort {\n n_basis: i64, // Aufträge, die zum Profil passen\n n_kandidaten: i64, // Module, aus denen gewählt wurde\n erklaerung: String,\n positionen: Vec<VorschlagPosition>,\n}\n\nstruct Kandidat {\n klartext: String,\n artikelnummer: Option<String>,\n n_auftraege: i64,\n avg_menge: f64,\n avg_preis_eur: f64,\n}\n\nconst VORSCHLAG_TMPL: &str = \"Du konfigurierst Würth-Fahrzeugeinrichtungen. Aus den Modulen \\\nhistorischer Aufträge ähnlicher Kunden stellst du EINE stimmige Vorschlagskonfiguration für das \\\nangegebene Profil zusammen. Antworte AUSSCHLIESSLICH mit einem JSON-Objekt, keine Erklärung \\\ndavor/danach, keine Markdown-Zäune.\\n\\\nRegeln:\\n\\\n- Verwende ausschließlich modul_id-Werte aus der Kandidatenliste.\\n\\\n- Häufigkeit (in wie vielen Aufträgen ein Modul vorkam) ist das wichtigste Signal.\\n\\\n- Eine komplette Einrichtung: Basis (Boden/Verkleidung) falls in der Liste, dann Regale/Schränke, \\\ndann Befestigung/Zubehör. Typisch 6-15 Positionen.\\n\\\n- menge ganzzahlig, an der Ø-Menge orientiert.\\n\\\n- begruendung: ein kurzer Halbsatz je Position.\\n\\\nJSON-Format:\\n\\\n{\\\"erklaerung\\\": \\\"<2-3 Sätze, warum diese Konfiguration zum Profil passt>\\\", \\\n\\\"positionen\\\": [{\\\"modul_id\\\": \\\"<aus Liste>\\\", \\\"menge\\\": 1, \\\"begruendung\\\": \\\"<kurz>\\\"}]}\";\n\nconst VORSCHLAG_FILTER: &str = \"(?1 = '' OR f.gewerk = ?1) \\\n AND (?2 = '' OR k.land = ?2) \\\n AND (?3 = '' OR f.mitarbeiter_kl = ?3) \\\n AND (?4 = '' OR v.fzg_klasse = ?4) \\\n AND (?5 = '' OR v.groesse = ?5)\";\n\nfn vorschlag_ai_inner(\n gewerk: String,\n land: String,\n groesse: String,\n fzg_klasse: String,\n fzg_groesse: String,\n) -> Result<VorschlagAntwort, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let params = rusqlite::params![gewerk, land, groesse, fzg_klasse, fzg_groesse];\n\n // Basis: wie viele Aufträge passen zum Profil\n let n_basis: i64 = con\n .query_row(\n &format!(\n \"SELECT COUNT(DISTINCT a.auftrag_id) \\\n FROM auftraege a \\\n JOIN kunden k USING (kunde_id) \\\n LEFT JOIN kunde_firmendaten f USING (kunde_id) \\\n LEFT JOIN auftrag_fzg v USING (auftrag_id) \\\n WHERE {VORSCHLAG_FILTER}\"\n ),\n params,\n |r| r.get(0),\n )\n .map_err(|e| e.to_string())?;\n if n_basis == 0 {\n return Err(\"Keine Aufträge passen zu diesem Profil — Filter lockern.\".to_string());\n }\n\n // Kandidaten: Module dieser Aufträge, nach Häufigkeit\n let mut stmt = con\n .prepare(&format!(\n \"SELECT p.modul_id, COALESCE(m.klartext, p.modul_id), m.artikelnummer, \\\n COUNT(DISTINCT p.auftrag_id) AS n, \\\n AVG(COALESCE(p.menge, 1)), \\\n AVG(p.preis / COALESCE(a.wechselkurs, 1)) \\\n FROM positionen p \\\n JOIN auftraege a ON a.auftrag_id = p.auftrag_id \\\n JOIN kunden k ON k.kunde_id = a.kunde_id \\\n LEFT JOIN kunde_firmendaten f ON f.kunde_id = k.kunde_id \\\n LEFT JOIN auftrag_fzg v ON v.auftrag_id = p.auftrag_id \\\n LEFT JOIN module m ON m.modul_id = p.modul_id \\\n WHERE {VORSCHLAG_FILTER} \\\n GROUP BY p.modul_id ORDER BY n DESC LIMIT 60\"\n ))\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map(params, |r| {\n Ok((\n r.get::<_, String>(0)?,\n Kandidat {\n klartext: r.get(1)?,\n artikelnummer: r.get(2)?,\n n_auftraege: r.get(3)?,\n avg_menge: r.get(4)?,\n avg_preis_eur: r.get(5)?,\n },\n ))\n })\n .map_err(|e| e.to_string())?;\n let mut kandidaten: Vec<(String, Kandidat)> = Vec::new();\n for row in rows {\n kandidaten.push(row.map_err(|e| e.to_string())?);\n }\n\n // Prompt: Profil + Kandidatenliste\n let oder = |v: &str| if v.is_empty() { \"beliebig\".to_string() } else { v.to_string() };\n let fahrzeug = if fzg_klasse.is_empty() && fzg_groesse.is_empty() {\n \"beliebig\".to_string()\n } else {\n format!(\"{} {}\", oder(&fzg_klasse), fzg_groesse).trim().to_string()\n };\n let mut user = format!(\n \"Profil:\\n- Gewerk: {}\\n- Land: {}\\n- Größe (Mitarbeiter): {}\\n- Fahrzeug: {}\\n\\\n Basis: {} Aufträge passen zum Profil.\\n\\n\\\n Kandidaten (modul_id | Bezeichnung | Artikelnr | in Aufträgen | Ø Menge | Ø Preis EUR):\\n\",\n oder(&gewerk),\n oder(&land),\n oder(&groesse),\n fahrzeug,\n n_basis\n );\n for (id, k) in &kandidaten {\n user.push_str(&format!(\n \"{} | {} | {} | {} | {:.1} | {:.2}\\n\",\n id,\n k.klartext,\n k.artikelnummer.as_deref().unwrap_or(\"—\"),\n k.n_auftraege,\n k.avg_menge,\n k.avg_preis_eur\n ));\n }\n\n let text = claude_text(\"claude-sonnet-5\", true, 4096, VORSCHLAG_TMPL, &user)?;\n let spec = json_objekt(&text)?;\n\n let erklaerung = spec[\"erklaerung\"].as_str().unwrap_or(\"\").to_string();\n let pos_arr = spec[\"positionen\"]\n .as_array()\n .ok_or(\"keine positionen im LLM-JSON\")?;\n\n let kand_map: std::collections::HashMap<&str, &Kandidat> =\n kandidaten.iter().map(|(id, k)| (id.as_str(), k)).collect();\n let mut positionen = Vec::new();\n for p in pos_arr {\n let id = p[\"modul_id\"].as_str().ok_or(\"modul_id fehlt im LLM-JSON\")?;\n let menge = p[\"menge\"]\n .as_i64()\n .ok_or_else(|| format!(\"menge fehlt bei {id}\"))?;\n let k = kand_map\n .get(id)\n .ok_or_else(|| format!(\"LLM lieferte modul_id außerhalb der Kandidaten: {id}\"))?;\n positionen.push(VorschlagPosition {\n modul_id: id.to_string(),\n artikelnummer: k.artikelnummer.clone(),\n klartext: k.klartext.clone(),\n menge,\n einzelpreis_eur: k.avg_preis_eur,\n begruendung: p[\"begruendung\"].as_str().unwrap_or(\"\").to_string(),\n });\n }\n\n Ok(VorschlagAntwort {\n n_basis,\n n_kandidaten: kandidaten.len() as i64,\n erklaerung,\n positionen,\n })\n}","new_string":"// ---------------------------------------------------------------------------\n// Vorschlagsengine: Profil (Gewerk / Land / Größe / Fahrzeug) -> Korrelations-\n// analyse über den Bestand: je Merkmal wird gemessen, ob es die Modulwahl\n// verschiebt; Merkmale ohne Einfluss fließen nicht in den Bereich ein.\n// Je Modul: Anteil im Bereich vs. gesamt (Lift). Claude macht aus den Zahlen\n// die Vorschlagskonfiguration mit Begründung. Harte Regeln (Tabelle regeln)\n// flaggen Konflikte mit dem gewählten Fahrzeug, sperren aber nicht.\n// ---------------------------------------------------------------------------\n\n#[derive(Serialize, Clone)]\nstruct KorrModul {\n modul_id: String,\n klartext: String,\n n_bereich: i64,\n p_bereich: f64, // Anteil der Bereichs-Aufträge mit diesem Modul (0..1)\n p_gesamt: f64,\n lift: f64,\n}\n\n#[derive(Serialize)]\nstruct VorschlagPosition {\n modul_id: String,\n artikelnummer: Option<String>,\n klartext: String,\n menge: i64,\n einzelpreis_eur: f64, // Ø aus den Bereichs-Aufträgen\n begruendung: String,\n p_bereich: f64,\n p_gesamt: f64,\n lift: f64,\n flag: Option<String>, // Regelkonflikt mit dem gewählten Fahrzeug\n}\n\n#[derive(Serialize)]\nstruct VorschlagAntwort {\n n_basis: i64, // Aufträge im Bereich\n n_gesamt: i64,\n mit_einfluss: Vec<String>,\n ohne_einfluss: Vec<String>,\n erklaerung: String,\n positionen: Vec<VorschlagPosition>,\n korrelationen: Vec<KorrModul>,\n}\n\n// Einfluss-Kriterium: ein Merkmal zählt nur, wenn es die Modulwahl messbar\n// verschiebt — mindestens MIN_VERSCHOBEN Module mit Lift außerhalb\n// [LIFT_TIEF, LIFT_HOCH] (Überrepräsentation ab MIN_SUPPORT Aufträgen im\n// Segment, Unterrepräsentation nur bei global gängigen Modulen). Segmente\n// unter MIN_SEGMENT Aufträgen tragen keine belastbare Aussage.\nconst MIN_SUPPORT: i64 = 3;\nconst MIN_SEGMENT: i64 = 5;\nconst LIFT_HOCH: f64 = 1.5;\nconst LIFT_TIEF: f64 = 0.5;\nconst MIN_VERSCHOBEN: usize = 2;\n\nconst ORDER_JOINS: &str = \"auftraege a \\\n JOIN kunden k ON k.kunde_id = a.kunde_id \\\n LEFT JOIN kunde_firmendaten f ON f.kunde_id = a.kunde_id \\\n LEFT JOIN auftrag_fzg v ON v.auftrag_id = a.auftrag_id\";\n\nfn where_und(conds: &[&str]) -> String {\n if conds.is_empty() {\n \"1=1\".to_string()\n } else {\n conds.join(\" AND \")\n }\n}\n\nfn order_count(con: &Connection, conds: &[&str], werte: &[&String]) -> Result<i64, String> {\n con.query_row(\n &format!(\n \"SELECT COUNT(DISTINCT a.auftrag_id) FROM {ORDER_JOINS} WHERE {}\",\n where_und(conds)\n ),\n rusqlite::params_from_iter(werte.iter()),\n |r| r.get(0),\n )\n .map_err(|e| e.to_string())\n}\n\n// Modul -> Anzahl Aufträge (distinct) im Segment\nfn modul_counts(\n con: &Connection,\n conds: &[&str],\n werte: &[&String],\n) -> Result<std::collections::HashMap<String, i64>, String> {\n let mut stmt = con\n .prepare(&format!(\n \"SELECT p.modul_id, COUNT(DISTINCT p.auftrag_id) \\\n FROM positionen p JOIN {ORDER_JOINS} ON a.auftrag_id = p.auftrag_id \\\n WHERE {} GROUP BY p.modul_id\",\n where_und(conds)\n ))\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map(rusqlite::params_from_iter(werte.iter()), |r| {\n Ok((r.get::<_, String>(0)?, r.get::<_, i64>(1)?))\n })\n .map_err(|e| e.to_string())?;\n let mut out = std::collections::HashMap::new();\n for row in rows {\n let (id, n) = row.map_err(|e| e.to_string())?;\n out.insert(id, n);\n }\n Ok(out)\n}\n\nconst VORSCHLAG_TMPL: &str = \"Du konfigurierst Würth-Fahrzeugeinrichtungen. Grundlage ist eine \\\nKorrelationsanalyse über den Auftragsbestand: je Modul der Anteil der Aufträge im Bereich \\\n(= Profil), die es enthalten, verglichen mit dem Gesamtbestand (Lift = Anteil Bereich / Anteil \\\ngesamt). Stelle EINE stimmige Vorschlagskonfiguration zusammen. Antworte AUSSCHLIESSLICH mit \\\neinem JSON-Objekt, keine Erklärung davor/danach, keine Markdown-Zäune.\\n\\\nRegeln:\\n\\\n- Verwende ausschließlich modul_id-Werte aus der Liste.\\n\\\n- Bevorzuge Module mit hohem Anteil im Bereich; hoher Lift heißt charakteristisch für den Bereich.\\n\\\n- Eine komplette Einrichtung, typisch 6-15 Positionen; menge ganzzahlig, an der Ø-Menge orientiert.\\n\\\n- begruendung je Position: kurz, mit Zahlen aus der Analyse (z. B. 'in 68 % der Aufträge im Bereich, Lift 2,1').\\n\\\n- erklaerung: 2-3 Sätze zur Konfiguration; nenne auch, welche Profilmerkmale eingeflossen sind \\\nund welche ohne Einfluss blieben.\\n\\\nJSON-Format:\\n\\\n{\\\"erklaerung\\\": \\\"<2-3 Sätze>\\\", \\\"positionen\\\": [{\\\"modul_id\\\": \\\"<aus Liste>\\\", \\\"menge\\\": 1, \\\n\\\"begruendung\\\": \\\"<kurz>\\\"}]}\";\n\nfn vorschlag_ai_inner(\n gewerk: String,\n land: String,\n groesse: String,\n fzg_klasse: String,\n fzg_groesse: String,\n) -> Result<VorschlagAntwort, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let n_gesamt = order_count(&con, &[], &[])?;\n\n // Globale Modul-Statistik (Klartext, Artikelnummer, Häufigkeit im Gesamtbestand)\n struct ModulInfo {\n klartext: String,\n artikelnummer: Option<String>,\n n_all: i64,\n }\n let mut stmt = con\n .prepare(\n \"SELECT p.modul_id, COALESCE(m.klartext, p.modul_id), m.artikelnummer, \\\n COUNT(DISTINCT p.auftrag_id) \\\n FROM positionen p LEFT JOIN module m ON m.modul_id = p.modul_id \\\n GROUP BY p.modul_id\",\n )\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map([], |r| {\n Ok((\n r.get::<_, String>(0)?,\n ModulInfo {\n klartext: r.get(1)?,\n artikelnummer: r.get(2)?,\n n_all: r.get(3)?,\n },\n ))\n })\n .map_err(|e| e.to_string())?;\n let mut global = std::collections::HashMap::new();\n for row in rows {\n let (id, info) = row.map_err(|e| e.to_string())?;\n global.insert(id, info);\n }\n\n // Merkmals-Relevanz: verschiebt das einzelne Merkmal die Modulwahl?\n let gesetzt: Vec<(&str, &str, &String)> = [\n (\"Branche\", \"f.gewerk = ?\", &gewerk),\n (\"Land\", \"k.land = ?\", &land),\n (\"Größe\", \"f.mitarbeiter_kl = ?\", &groesse),\n (\"Fahrzeugklasse\", \"v.fzg_klasse = ?\", &fzg_klasse),\n (\"Fahrzeuggröße\", \"v.groesse = ?\", &fzg_groesse),\n ]\n .into_iter()\n .filter(|(_, _, w)| !w.is_empty())\n .collect();\n\n let mut mit_einfluss: Vec<String> = Vec::new();\n let mut ohne_einfluss: Vec<String> = Vec::new();\n let mut b_conds: Vec<&str> = Vec::new();\n let mut b_werte: Vec<&String> = Vec::new();\n for (name, cond, wert) in &gesetzt {\n let m = order_count(&con, &[cond], &[wert])?;\n let einfluss = if m < MIN_SEGMENT {\n false\n } else {\n let seg = modul_counts(&con, &[cond], &[wert])?;\n let verschoben = global\n .iter()\n .filter(|(id, info)| {\n let n_seg = *seg.get(*id).unwrap_or(&0);\n let p_seg = n_seg as f64 / m as f64;\n let p_all = info.n_all as f64 / n_gesamt as f64;\n let lift = p_seg / p_all;\n (n_seg >= MIN_SUPPORT && lift >= LIFT_HOCH)\n || (info.n_all >= MIN_SEGMENT && lift <= LIFT_TIEF)\n })\n .count();\n verschoben >= MIN_VERSCHOBEN\n };\n if einfluss {\n mit_einfluss.push(name.to_string());\n b_conds.push(cond);\n b_werte.push(wert);\n } else {\n ohne_einfluss.push(name.to_string());\n }\n }\n\n // Bereich = Schnitt der einflussreichen Merkmale (keine -> Gesamtbestand)\n let n_basis = order_count(&con, &b_conds, &b_werte)?;\n if n_basis == 0 {\n return Err(\n \"Die einflussreichen Merkmale treffen zusammen keine Aufträge.\".to_string(),\n );\n }\n let ber_counts = modul_counts(&con, &b_conds, &b_werte)?;\n\n // Ø Menge und Ø Preis (EUR) je Modul aus den Bereichs-Aufträgen\n let mut stmt = con\n .prepare(&format!(\n \"SELECT p.modul_id, AVG(COALESCE(p.menge, 1)), \\\n AVG(p.preis / COALESCE(a.wechselkurs, 1)) \\\n FROM positionen p JOIN {ORDER_JOINS} ON a.auftrag_id = p.auftrag_id \\\n WHERE {} GROUP BY p.modul_id\",\n where_und(&b_conds)\n ))\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map(rusqlite::params_from_iter(b_werte.iter()), |r| {\n Ok((r.get::<_, String>(0)?, (r.get::<_, f64>(1)?, r.get::<_, f64>(2)?)))\n })\n .map_err(|e| e.to_string())?;\n let mut ber_preise = std::collections::HashMap::new();\n for row in rows {\n let (id, mp) = row.map_err(|e| e.to_string())?;\n ber_preise.insert(id, mp);\n }\n\n // Korrelationstabelle: wiederkehrende Module des Bereichs mit Lift\n let mut korrelationen: Vec<KorrModul> = ber_counts\n .iter()\n .filter(|(_, n)| **n >= 2)\n .map(|(id, n)| {\n let info = &global[id];\n let p_bereich = *n as f64 / n_basis as f64;\n let p_gesamt = info.n_all as f64 / n_gesamt as f64;\n KorrModul {\n modul_id: id.clone(),\n klartext: info.klartext.clone(),\n n_bereich: *n,\n p_bereich,\n p_gesamt,\n lift: p_bereich / p_gesamt,\n }\n })\n .collect();\n korrelationen.sort_unstable_by(|a, b| {\n b.n_bereich\n .cmp(&a.n_bereich)\n .then(b.lift.total_cmp(&a.lift))\n });\n korrelationen.truncate(60);\n if korrelationen.is_empty() {\n return Err(\"Keine wiederkehrenden Module im Bereich.\".to_string());\n }\n\n // Prompt: Profilstatus + Korrelationszeilen\n let mut user = String::from(\"Profil:\\n\");\n for (name, _, wert) in [\n (\"Branche\", \"\", &gewerk),\n (\"Land\", \"\", &land),\n (\"Größe (Mitarbeiter)\", \"\", &groesse),\n (\"Fahrzeugklasse\", \"\", &fzg_klasse),\n (\"Fahrzeuggröße\", \"\", &fzg_groesse),\n ] {\n let kurz = name.split(' ').next().unwrap();\n let status = if wert.is_empty() {\n \"nicht gesetzt\".to_string()\n } else if mit_einfluss.iter().any(|e| e.starts_with(kurz)) {\n format!(\"{wert} (eingeflossen)\")\n } else {\n format!(\"{wert} (ohne messbaren Einfluss auf die Modulwahl — ignoriert)\")\n };\n user.push_str(&format!(\"- {name}: {status}\\n\"));\n }\n user.push_str(&format!(\n \"Bereich: {n_basis} von {n_gesamt} Aufträgen.\\n\\n\\\n Korrelationen (modul_id | Bezeichnung | Artikelnr | Anteil Bereich | Anteil gesamt | Lift | Ø Menge | Ø Preis EUR):\\n\"\n ));\n for k in &korrelationen {\n let (avg_menge, avg_preis) = ber_preise[&k.modul_id];\n user.push_str(&format!(\n \"{} | {} | {} | {:.0} % ({} von {}) | {:.0} % | {:.2} | {:.1} | {:.2}\\n\",\n k.modul_id,\n k.klartext,\n global[&k.modul_id].artikelnummer.as_deref().unwrap_or(\"—\"),\n 100.0 * k.p_bereich,\n k.n_bereich,\n n_basis,\n 100.0 * k.p_gesamt,\n k.lift,\n avg_menge,\n avg_preis\n ));\n }\n\n let text = claude_text(\"claude-sonnet-5\", true, 4096, VORSCHLAG_TMPL, &user)?;\n let spec = json_objekt(&text)?;\n\n let erklaerung = spec[\"erklaerung\"].as_str().unwrap_or(\"\").to_string();\n let pos_arr = spec[\"positionen\"]\n .as_array()\n .ok_or(\"keine positionen im LLM-JSON\")?;\n\n // Regelabgleich gegen das gewählte Fahrzeug: flaggt, sperrt nicht.\n // Ohne gewähltes Fahrzeug greift keine der (fahrzeugbedingten) Regeln.\n let mut regel_stmt = con\n .prepare(\n \"SELECT text FROM regeln \\\n WHERE (fzg_klasse IS NULL OR fzg_klasse = ?1) \\\n AND (groesse_muster IS NULL OR ?2 LIKE groesse_muster) \\\n AND (?3 LIKE klartext_muster OR ?4 LIKE klartext_muster) \\\n LIMIT 1\",\n )\n .map_err(|e| e.to_string())?;\n\n let korr_map: std::collections::HashMap<&str, &KorrModul> = korrelationen\n .iter()\n .map(|k| (k.modul_id.as_str(), k))\n .collect();\n let mut positionen = Vec::new();\n for p in pos_arr {\n let id = p[\"modul_id\"].as_str().ok_or(\"modul_id fehlt im LLM-JSON\")?;\n let menge = p[\"menge\"]\n .as_i64()\n .ok_or_else(|| format!(\"menge fehlt bei {id}\"))?;\n let k = korr_map\n .get(id)\n .ok_or_else(|| format!(\"LLM lieferte modul_id außerhalb der Korrelationsliste: {id}\"))?;\n let flag: Option<String> = regel_stmt\n .query_row(\n rusqlite::params![fzg_klasse, fzg_groesse, k.klartext, k.modul_id],\n |r| r.get(0),\n )\n .optional()\n .map_err(|e| e.to_string())?;\n positionen.push(VorschlagPosition {\n modul_id: id.to_string(),\n artikelnummer: global[id].artikelnummer.clone(),\n klartext: k.klartext.clone(),\n menge,\n einzelpreis_eur: ber_preise[id].1,\n begruendung: p[\"begruendung\"].as_str().unwrap_or(\"\").to_string(),\n p_bereich: k.p_bereich,\n p_gesamt: k.p_gesamt,\n lift: k.lift,\n flag,\n });\n }\n\n Ok(VorschlagAntwort {\n n_basis,\n n_gesamt,\n mit_einfluss,\n ohne_einfluss,\n erklaerung,\n positionen,\n korrelationen,\n 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{"parentUuid":"fdb4df58-5f68-47bf-b949-1c19b7242fef","isSidechain":false,"promptId":"b0d510da-e2e9-4b96-9e2b-0eefcaa2c6f7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CCDyVcEcWU6R3QSPA59dhw","type":"tool_result","content":"The file /Users/marcus.hinz/projects/08-07/src-tauri/src/lib.rs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"b0fb991e-d31e-472b-9d52-864b8ddeac73","timestamp":"2026-07-06T09:58:13.441Z","toolUseResult":{"filePath":"/Users/marcus.hinz/projects/08-07/src-tauri/src/lib.rs","oldString":"// ---------------------------------------------------------------------------\n// Vorschlagsengine: Profil (Gewerk / Land / Größe) + Fahrzeug -> Claude stellt\n// aus den Modulen historischer Aufträge ähnlicher Kunden eine Konfiguration\n// zusammen. Preise kommen aus der Historie (Ø EUR), nicht vom LLM.\n// ---------------------------------------------------------------------------\n\n#[derive(Serialize)]\nstruct VorschlagPosition {\n modul_id: String,\n artikelnummer: Option<String>,\n klartext: String,\n menge: i64,\n einzelpreis_eur: f64,\n begruendung: String,\n}\n\n#[derive(Serialize)]\nstruct VorschlagAntwort {\n n_basis: i64, // Aufträge, die zum Profil passen\n n_kandidaten: i64, // Module, aus denen gewählt wurde\n erklaerung: String,\n positionen: Vec<VorschlagPosition>,\n}\n\nstruct Kandidat {\n klartext: String,\n artikelnummer: Option<String>,\n n_auftraege: i64,\n avg_menge: f64,\n avg_preis_eur: f64,\n}\n\nconst VORSCHLAG_TMPL: &str = \"Du konfigurierst Würth-Fahrzeugeinrichtungen. Aus den Modulen \\\nhistorischer Aufträge ähnlicher Kunden stellst du EINE stimmige Vorschlagskonfiguration für das \\\nangegebene Profil zusammen. Antworte AUSSCHLIESSLICH mit einem JSON-Objekt, keine Erklärung \\\ndavor/danach, keine Markdown-Zäune.\\n\\\nRegeln:\\n\\\n- Verwende ausschließlich modul_id-Werte aus der Kandidatenliste.\\n\\\n- Häufigkeit (in wie vielen Aufträgen ein Modul vorkam) ist das wichtigste Signal.\\n\\\n- Eine komplette Einrichtung: Basis (Boden/Verkleidung) falls in der Liste, dann Regale/Schränke, \\\ndann Befestigung/Zubehör. Typisch 6-15 Positionen.\\n\\\n- menge ganzzahlig, an der Ø-Menge orientiert.\\n\\\n- begruendung: ein kurzer Halbsatz je Position.\\n\\\nJSON-Format:\\n\\\n{\\\"erklaerung\\\": \\\"<2-3 Sätze, warum diese Konfiguration zum Profil passt>\\\", \\\n\\\"positionen\\\": [{\\\"modul_id\\\": \\\"<aus Liste>\\\", \\\"menge\\\": 1, \\\"begruendung\\\": \\\"<kurz>\\\"}]}\";\n\nconst VORSCHLAG_FILTER: &str = \"(?1 = '' OR f.gewerk = ?1) \\\n AND (?2 = '' OR k.land = ?2) \\\n AND (?3 = '' OR f.mitarbeiter_kl = ?3) \\\n AND (?4 = '' OR v.fzg_klasse = ?4) \\\n AND (?5 = '' OR v.groesse = ?5)\";\n\nfn vorschlag_ai_inner(\n gewerk: String,\n land: String,\n groesse: String,\n fzg_klasse: String,\n fzg_groesse: String,\n) -> Result<VorschlagAntwort, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let params = rusqlite::params![gewerk, land, groesse, fzg_klasse, fzg_groesse];\n\n // Basis: wie viele Aufträge passen zum Profil\n let n_basis: i64 = con\n .query_row(\n &format!(\n \"SELECT COUNT(DISTINCT a.auftrag_id) \\\n FROM auftraege a \\\n JOIN kunden k USING (kunde_id) \\\n LEFT JOIN kunde_firmendaten f USING (kunde_id) \\\n LEFT JOIN auftrag_fzg v USING (auftrag_id) \\\n WHERE {VORSCHLAG_FILTER}\"\n ),\n params,\n |r| r.get(0),\n )\n .map_err(|e| e.to_string())?;\n if n_basis == 0 {\n return Err(\"Keine Aufträge passen zu diesem Profil — Filter lockern.\".to_string());\n }\n\n // Kandidaten: Module dieser Aufträge, nach Häufigkeit\n let mut stmt = con\n .prepare(&format!(\n \"SELECT p.modul_id, COALESCE(m.klartext, p.modul_id), m.artikelnummer, \\\n COUNT(DISTINCT p.auftrag_id) AS n, \\\n AVG(COALESCE(p.menge, 1)), \\\n AVG(p.preis / COALESCE(a.wechselkurs, 1)) \\\n FROM positionen p \\\n JOIN auftraege a ON a.auftrag_id = p.auftrag_id \\\n JOIN kunden k ON k.kunde_id = a.kunde_id \\\n LEFT JOIN kunde_firmendaten f ON f.kunde_id = k.kunde_id \\\n LEFT JOIN auftrag_fzg v ON v.auftrag_id = p.auftrag_id \\\n LEFT JOIN module m ON m.modul_id = p.modul_id \\\n WHERE {VORSCHLAG_FILTER} \\\n GROUP BY p.modul_id ORDER BY n DESC LIMIT 60\"\n ))\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map(params, |r| {\n Ok((\n r.get::<_, String>(0)?,\n Kandidat {\n klartext: r.get(1)?,\n artikelnummer: r.get(2)?,\n n_auftraege: r.get(3)?,\n avg_menge: r.get(4)?,\n avg_preis_eur: r.get(5)?,\n },\n ))\n })\n .map_err(|e| e.to_string())?;\n let mut kandidaten: Vec<(String, Kandidat)> = Vec::new();\n for row in rows {\n kandidaten.push(row.map_err(|e| e.to_string())?);\n }\n\n // Prompt: Profil + Kandidatenliste\n let oder = |v: &str| if v.is_empty() { \"beliebig\".to_string() } else { v.to_string() };\n let fahrzeug = if fzg_klasse.is_empty() && fzg_groesse.is_empty() {\n \"beliebig\".to_string()\n } else {\n format!(\"{} {}\", oder(&fzg_klasse), fzg_groesse).trim().to_string()\n };\n let mut user = format!(\n \"Profil:\\n- Gewerk: {}\\n- Land: {}\\n- Größe (Mitarbeiter): {}\\n- Fahrzeug: {}\\n\\\n Basis: {} Aufträge passen zum Profil.\\n\\n\\\n Kandidaten (modul_id | Bezeichnung | Artikelnr | in Aufträgen | Ø Menge | Ø Preis EUR):\\n\",\n oder(&gewerk),\n oder(&land),\n oder(&groesse),\n fahrzeug,\n n_basis\n );\n for (id, k) in &kandidaten {\n user.push_str(&format!(\n \"{} | {} | {} | {} | {:.1} | {:.2}\\n\",\n id,\n k.klartext,\n k.artikelnummer.as_deref().unwrap_or(\"—\"),\n k.n_auftraege,\n k.avg_menge,\n k.avg_preis_eur\n ));\n }\n\n let text = claude_text(\"claude-sonnet-5\", true, 4096, VORSCHLAG_TMPL, &user)?;\n let spec = json_objekt(&text)?;\n\n let erklaerung = spec[\"erklaerung\"].as_str().unwrap_or(\"\").to_string();\n let pos_arr = spec[\"positionen\"]\n .as_array()\n .ok_or(\"keine positionen im LLM-JSON\")?;\n\n let kand_map: std::collections::HashMap<&str, &Kandidat> =\n kandidaten.iter().map(|(id, k)| (id.as_str(), k)).collect();\n let mut positionen = Vec::new();\n for p in pos_arr {\n let id = p[\"modul_id\"].as_str().ok_or(\"modul_id fehlt im LLM-JSON\")?;\n let menge = p[\"menge\"]\n .as_i64()\n .ok_or_else(|| format!(\"menge fehlt bei {id}\"))?;\n let k = kand_map\n .get(id)\n .ok_or_else(|| format!(\"LLM lieferte modul_id außerhalb der Kandidaten: {id}\"))?;\n positionen.push(VorschlagPosition {\n modul_id: id.to_string(),\n artikelnummer: k.artikelnummer.clone(),\n klartext: k.klartext.clone(),\n menge,\n einzelpreis_eur: k.avg_preis_eur,\n begruendung: p[\"begruendung\"].as_str().unwrap_or(\"\").to_string(),\n });\n }\n\n Ok(VorschlagAntwort {\n n_basis,\n n_kandidaten: kandidaten.len() as i64,\n erklaerung,\n positionen,\n })\n}","newString":"// ---------------------------------------------------------------------------\n// Vorschlagsengine: Profil (Gewerk / Land / Größe / Fahrzeug) -> Korrelations-\n// analyse über den Bestand: je Merkmal wird gemessen, ob es die Modulwahl\n// verschiebt; Merkmale ohne Einfluss fließen nicht in den Bereich ein.\n// Je Modul: Anteil im Bereich vs. gesamt (Lift). Claude macht aus den Zahlen\n// die Vorschlagskonfiguration mit Begründung. Harte Regeln (Tabelle regeln)\n// flaggen Konflikte mit dem gewählten Fahrzeug, sperren aber nicht.\n// ---------------------------------------------------------------------------\n\n#[derive(Serialize, Clone)]\nstruct KorrModul {\n modul_id: String,\n klartext: String,\n n_bereich: i64,\n p_bereich: f64, // Anteil der Bereichs-Aufträge mit diesem Modul (0..1)\n p_gesamt: f64,\n lift: f64,\n}\n\n#[derive(Serialize)]\nstruct VorschlagPosition {\n modul_id: String,\n artikelnummer: Option<String>,\n klartext: String,\n menge: i64,\n einzelpreis_eur: f64, // Ø aus den Bereichs-Aufträgen\n begruendung: String,\n p_bereich: f64,\n p_gesamt: f64,\n lift: f64,\n flag: Option<String>, // Regelkonflikt mit dem gewählten Fahrzeug\n}\n\n#[derive(Serialize)]\nstruct VorschlagAntwort {\n n_basis: i64, // Aufträge im Bereich\n n_gesamt: i64,\n mit_einfluss: Vec<String>,\n ohne_einfluss: Vec<String>,\n erklaerung: String,\n positionen: Vec<VorschlagPosition>,\n korrelationen: Vec<KorrModul>,\n}\n\n// Einfluss-Kriterium: ein Merkmal zählt nur, wenn es die Modulwahl messbar\n// verschiebt — mindestens MIN_VERSCHOBEN Module mit Lift außerhalb\n// [LIFT_TIEF, LIFT_HOCH] (Überrepräsentation ab MIN_SUPPORT Aufträgen im\n// Segment, Unterrepräsentation nur bei global gängigen Modulen). Segmente\n// unter MIN_SEGMENT Aufträgen tragen keine belastbare Aussage.\nconst MIN_SUPPORT: i64 = 3;\nconst MIN_SEGMENT: i64 = 5;\nconst LIFT_HOCH: f64 = 1.5;\nconst LIFT_TIEF: f64 = 0.5;\nconst MIN_VERSCHOBEN: usize = 2;\n\nconst ORDER_JOINS: &str = \"auftraege a \\\n JOIN kunden k ON k.kunde_id = a.kunde_id \\\n LEFT JOIN kunde_firmendaten f ON f.kunde_id = a.kunde_id \\\n LEFT JOIN auftrag_fzg v ON v.auftrag_id = a.auftrag_id\";\n\nfn where_und(conds: &[&str]) -> String {\n if conds.is_empty() {\n \"1=1\".to_string()\n } else {\n conds.join(\" AND \")\n }\n}\n\nfn order_count(con: &Connection, conds: &[&str], werte: &[&String]) -> Result<i64, String> {\n con.query_row(\n &format!(\n \"SELECT COUNT(DISTINCT a.auftrag_id) FROM {ORDER_JOINS} WHERE {}\",\n where_und(conds)\n ),\n rusqlite::params_from_iter(werte.iter()),\n |r| r.get(0),\n )\n .map_err(|e| e.to_string())\n}\n\n// Modul -> Anzahl Aufträge (distinct) im Segment\nfn modul_counts(\n con: &Connection,\n conds: &[&str],\n werte: &[&String],\n) -> Result<std::collections::HashMap<String, i64>, String> {\n let mut stmt = con\n .prepare(&format!(\n \"SELECT p.modul_id, COUNT(DISTINCT p.auftrag_id) \\\n FROM positionen p JOIN {ORDER_JOINS} ON a.auftrag_id = p.auftrag_id \\\n WHERE {} GROUP BY p.modul_id\",\n where_und(conds)\n ))\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map(rusqlite::params_from_iter(werte.iter()), |r| {\n Ok((r.get::<_, String>(0)?, r.get::<_, i64>(1)?))\n })\n .map_err(|e| e.to_string())?;\n let mut out = std::collections::HashMap::new();\n for row in rows {\n let (id, n) = row.map_err(|e| e.to_string())?;\n out.insert(id, n);\n }\n Ok(out)\n}\n\nconst VORSCHLAG_TMPL: &str = \"Du konfigurierst Würth-Fahrzeugeinrichtungen. Grundlage ist eine \\\nKorrelationsanalyse über den Auftragsbestand: je Modul der Anteil der Aufträge im Bereich \\\n(= Profil), die es enthalten, verglichen mit dem Gesamtbestand (Lift = Anteil Bereich / Anteil \\\ngesamt). Stelle EINE stimmige Vorschlagskonfiguration zusammen. Antworte AUSSCHLIESSLICH mit \\\neinem JSON-Objekt, keine Erklärung davor/danach, keine Markdown-Zäune.\\n\\\nRegeln:\\n\\\n- Verwende ausschließlich modul_id-Werte aus der Liste.\\n\\\n- Bevorzuge Module mit hohem Anteil im Bereich; hoher Lift heißt charakteristisch für den Bereich.\\n\\\n- Eine komplette Einrichtung, typisch 6-15 Positionen; menge ganzzahlig, an der Ø-Menge orientiert.\\n\\\n- begruendung je Position: kurz, mit Zahlen aus der Analyse (z. B. 'in 68 % der Aufträge im Bereich, Lift 2,1').\\n\\\n- erklaerung: 2-3 Sätze zur Konfiguration; nenne auch, welche Profilmerkmale eingeflossen sind \\\nund welche ohne Einfluss blieben.\\n\\\nJSON-Format:\\n\\\n{\\\"erklaerung\\\": \\\"<2-3 Sätze>\\\", \\\"positionen\\\": [{\\\"modul_id\\\": \\\"<aus Liste>\\\", \\\"menge\\\": 1, \\\n\\\"begruendung\\\": \\\"<kurz>\\\"}]}\";\n\nfn vorschlag_ai_inner(\n gewerk: String,\n land: String,\n groesse: String,\n fzg_klasse: String,\n fzg_groesse: String,\n) -> Result<VorschlagAntwort, String> {\n let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;\n let n_gesamt = order_count(&con, &[], &[])?;\n\n // Globale Modul-Statistik (Klartext, Artikelnummer, Häufigkeit im Gesamtbestand)\n struct ModulInfo {\n klartext: String,\n artikelnummer: Option<String>,\n n_all: i64,\n }\n let mut stmt = con\n .prepare(\n \"SELECT p.modul_id, COALESCE(m.klartext, p.modul_id), m.artikelnummer, \\\n COUNT(DISTINCT p.auftrag_id) \\\n FROM positionen p LEFT JOIN module m ON m.modul_id = p.modul_id \\\n GROUP BY p.modul_id\",\n )\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map([], |r| {\n Ok((\n r.get::<_, String>(0)?,\n ModulInfo {\n klartext: r.get(1)?,\n artikelnummer: r.get(2)?,\n n_all: r.get(3)?,\n },\n ))\n })\n .map_err(|e| e.to_string())?;\n let mut global = std::collections::HashMap::new();\n for row in rows {\n let (id, info) = row.map_err(|e| e.to_string())?;\n global.insert(id, info);\n }\n\n // Merkmals-Relevanz: verschiebt das einzelne Merkmal die Modulwahl?\n let gesetzt: Vec<(&str, &str, &String)> = [\n (\"Branche\", \"f.gewerk = ?\", &gewerk),\n (\"Land\", \"k.land = ?\", &land),\n (\"Größe\", \"f.mitarbeiter_kl = ?\", &groesse),\n (\"Fahrzeugklasse\", \"v.fzg_klasse = ?\", &fzg_klasse),\n (\"Fahrzeuggröße\", \"v.groesse = ?\", &fzg_groesse),\n ]\n .into_iter()\n .filter(|(_, _, w)| !w.is_empty())\n .collect();\n\n let mut mit_einfluss: Vec<String> = Vec::new();\n let mut ohne_einfluss: Vec<String> = Vec::new();\n let mut b_conds: Vec<&str> = Vec::new();\n let mut b_werte: Vec<&String> = Vec::new();\n for (name, cond, wert) in &gesetzt {\n let m = order_count(&con, &[cond], &[wert])?;\n let einfluss = if m < MIN_SEGMENT {\n false\n } else {\n let seg = modul_counts(&con, &[cond], &[wert])?;\n let verschoben = global\n .iter()\n .filter(|(id, info)| {\n let n_seg = *seg.get(*id).unwrap_or(&0);\n let p_seg = n_seg as f64 / m as f64;\n let p_all = info.n_all as f64 / n_gesamt as f64;\n let lift = p_seg / p_all;\n (n_seg >= MIN_SUPPORT && lift >= LIFT_HOCH)\n || (info.n_all >= MIN_SEGMENT && lift <= LIFT_TIEF)\n })\n .count();\n verschoben >= MIN_VERSCHOBEN\n };\n if einfluss {\n mit_einfluss.push(name.to_string());\n b_conds.push(cond);\n b_werte.push(wert);\n } else {\n ohne_einfluss.push(name.to_string());\n }\n }\n\n // Bereich = Schnitt der einflussreichen Merkmale (keine -> Gesamtbestand)\n let n_basis = order_count(&con, &b_conds, &b_werte)?;\n if n_basis == 0 {\n return Err(\n \"Die einflussreichen Merkmale treffen zusammen keine Aufträge.\".to_string(),\n );\n }\n let ber_counts = modul_counts(&con, &b_conds, &b_werte)?;\n\n // Ø Menge und Ø Preis (EUR) je Modul aus den Bereichs-Aufträgen\n let mut stmt = con\n .prepare(&format!(\n \"SELECT p.modul_id, AVG(COALESCE(p.menge, 1)), \\\n AVG(p.preis / COALESCE(a.wechselkurs, 1)) \\\n FROM positionen p JOIN {ORDER_JOINS} ON a.auftrag_id = p.auftrag_id \\\n WHERE {} GROUP BY p.modul_id\",\n where_und(&b_conds)\n ))\n .map_err(|e| e.to_string())?;\n let rows = stmt\n .query_map(rusqlite::params_from_iter(b_werte.iter()), |r| {\n Ok((r.get::<_, String>(0)?, (r.get::<_, f64>(1)?, r.get::<_, f64>(2)?)))\n })\n .map_err(|e| e.to_string())?;\n let mut ber_preise = std::collections::HashMap::new();\n for row in rows {\n let (id, mp) = row.map_err(|e| e.to_string())?;\n ber_preise.insert(id, mp);\n }\n\n // Korrelationstabelle: wiederkehrende Module des Bereichs mit Lift\n let mut korrelationen: Vec<KorrModul> = ber_counts\n .iter()\n .filter(|(_, n)| **n >= 2)\n .map(|(id, n)| {\n let info = &global[id];\n let p_bereich = *n as f64 / n_basis as f64;\n let p_gesamt = info.n_all as f64 / n_gesamt as f64;\n KorrModul {\n modul_id: id.clone(),\n klartext: info.klartext.clone(),\n n_bereich: *n,\n p_bereich,\n p_gesamt,\n lift: p_bereich / p_gesamt,\n }\n })\n .collect();\n korrelationen.sort_unstable_by(|a, b| {\n b.n_bereich\n .cmp(&a.n_bereich)\n .then(b.lift.total_cmp(&a.lift))\n });\n korrelationen.truncate(60);\n if korrelationen.is_empty() {\n return Err(\"Keine wiederkehrenden Module im Bereich.\".to_string());\n }\n\n // Prompt: Profilstatus + Korrelationszeilen\n let mut user = String::from(\"Profil:\\n\");\n for (name, _, wert) in [\n (\"Branche\", \"\", &gewerk),\n (\"Land\", \"\", &land),\n (\"Größe (Mitarbeiter)\", \"\", &groesse),\n (\"Fahrzeugklasse\", \"\", &fzg_klasse),\n (\"Fahrzeuggröße\", \"\", &fzg_groesse),\n ] {\n let kurz = name.split(' ').next().unwrap();\n let status = if wert.is_empty() {\n \"nicht gesetzt\".to_string()\n } else if mit_einfluss.iter().any(|e| e.starts_with(kurz)) {\n format!(\"{wert} (eingeflossen)\")\n } else {\n format!(\"{wert} (ohne messbaren Einfluss auf die Modulwahl — ignoriert)\")\n };\n user.push_str(&format!(\"- {name}: {status}\\n\"));\n }\n user.push_str(&format!(\n \"Bereich: {n_basis} von {n_gesamt} Aufträgen.\\n\\n\\\n Korrelationen (modul_id | Bezeichnung | Artikelnr | Anteil Bereich | Anteil gesamt | Lift | Ø Menge | Ø Preis EUR):\\n\"\n ));\n for k in &korrelationen {\n let (avg_menge, avg_preis) = ber_preise[&k.modul_id];\n user.push_str(&format!(\n \"{} | {} | {} | {:.0} % ({} von {}) | {:.0} % | {:.2} | {:.1} | {:.2}\\n\",\n k.modul_id,\n k.klartext,\n global[&k.modul_id].artikelnummer.as_deref().unwrap_or(\"—\"),\n 100.0 * k.p_bereich,\n k.n_bereich,\n n_basis,\n 100.0 * k.p_gesamt,\n k.lift,\n avg_menge,\n avg_preis\n ));\n }\n\n let text = claude_text(\"claude-sonnet-5\", true, 4096, VORSCHLAG_TMPL, &user)?;\n let spec = json_objekt(&text)?;\n\n let erklaerung = spec[\"erklaerung\"].as_str().unwrap_or(\"\").to_string();\n let pos_arr = spec[\"positionen\"]\n .as_array()\n .ok_or(\"keine positionen im LLM-JSON\")?;\n\n // Regelabgleich gegen das gewählte Fahrzeug: flaggt, sperrt nicht.\n // Ohne gewähltes Fahrzeug greift keine der (fahrzeugbedingten) Regeln.\n let mut regel_stmt = con\n .prepare(\n \"SELECT text FROM regeln \\\n WHERE (fzg_klasse IS NULL OR fzg_klasse = ?1) \\\n AND (groesse_muster IS NULL OR ?2 LIKE groesse_muster) \\\n AND (?3 LIKE klartext_muster OR ?4 LIKE klartext_muster) \\\n LIMIT 1\",\n )\n .map_err(|e| e.to_string())?;\n\n let korr_map: std::collections::HashMap<&str, &KorrModul> = korrelationen\n .iter()\n .map(|k| (k.modul_id.as_str(), k))\n .collect();\n let mut positionen = Vec::new();\n for p in pos_arr {\n let id = p[\"modul_id\"].as_str().ok_or(\"modul_id fehlt im LLM-JSON\")?;\n let menge = p[\"menge\"]\n .as_i64()\n .ok_or_else(|| format!(\"menge fehlt bei {id}\"))?;\n let k = korr_map\n .get(id)\n .ok_or_else(|| format!(\"LLM lieferte modul_id außerhalb der Korrelationsliste: {id}\"))?;\n let flag: Option<String> = regel_stmt\n .query_row(\n rusqlite::params![fzg_klasse, fzg_groesse, k.klartext, k.modul_id],\n |r| r.get(0),\n )\n .optional()\n .map_err(|e| e.to_string())?;\n positionen.push(VorschlagPosition {\n modul_id: id.to_string(),\n artikelnummer: global[id].artikelnummer.clone(),\n klartext: k.klartext.clone(),\n menge,\n einzelpreis_eur: ber_preise[id].1,\n begruendung: p[\"begruendung\"].as_str().unwrap_or(\"\").to_string(),\n p_bereich: k.p_bereich,\n p_gesamt: k.p_gesamt,\n lift: k.lift,\n flag,\n });\n }\n\n Ok(VorschlagAntwort {\n n_basis,\n n_gesamt,\n mit_einfluss,\n ohne_einfluss,\n erklaerung,\n positionen,\n korrelationen,\n })\n}","originalFile":null,"structuredPatch":[{"oldStart":389,"oldLines":58,"newStart":389,"newLines":128,"lines":[" }"," "," // ---------------------------------------------------------------------------","-// Vorschlagsengine: Profil (Gewerk / Land / Größe) + Fahrzeug -> Claude stellt","-// aus den Modulen historischer Aufträge ähnlicher Kunden eine Konfiguration","-// zusammen. Preise kommen aus der Historie (Ø EUR), nicht vom LLM.","+// Vorschlagsengine: Profil (Gewerk / Land / Größe / Fahrzeug) -> Korrelations-","+// analyse über den Bestand: je Merkmal wird gemessen, ob es die Modulwahl","+// verschiebt; Merkmale ohne Einfluss fließen nicht in den Bereich ein.","+// Je Modul: Anteil im Bereich vs. gesamt (Lift). Claude macht aus den Zahlen","+// die Vorschlagskonfiguration mit Begründung. Harte Regeln (Tabelle regeln)","+// flaggen Konflikte mit dem gewählten Fahrzeug, sperren aber nicht."," // ---------------------------------------------------------------------------"," ","+#[derive(Serialize, Clone)]","+struct KorrModul {","+ modul_id: String,","+ klartext: String,","+ n_bereich: i64,","+ p_bereich: f64, // Anteil der Bereichs-Aufträge mit diesem Modul (0..1)","+ p_gesamt: f64,","+ lift: f64,","+}","+"," #[derive(Serialize)]"," struct VorschlagPosition {"," modul_id: String,"," artikelnummer: Option<String>,"," klartext: String,"," menge: i64,","- einzelpreis_eur: f64,","+ einzelpreis_eur: f64, // Ø aus den Bereichs-Aufträgen"," begruendung: String,","+ p_bereich: f64,","+ p_gesamt: f64,","+ lift: f64,","+ flag: Option<String>, // Regelkonflikt mit dem gewählten Fahrzeug"," }"," "," #[derive(Serialize)]"," struct VorschlagAntwort {","- n_basis: i64, // Aufträge, die zum Profil passen","- n_kandidaten: i64, // Module, aus denen gewählt wurde","+ n_basis: i64, // Aufträge im Bereich","+ n_gesamt: i64,","+ mit_einfluss: Vec<String>,","+ ohne_einfluss: Vec<String>,"," erklaerung: String,"," positionen: Vec<VorschlagPosition>,","+ korrelationen: Vec<KorrModul>,"," }"," ","-struct Kandidat {","- klartext: String,","- artikelnummer: Option<String>,","- n_auftraege: i64,","- avg_menge: f64,","- avg_preis_eur: f64,","+// Einfluss-Kriterium: ein Merkmal zählt nur, wenn es die Modulwahl messbar","+// verschiebt — mindestens MIN_VERSCHOBEN Module mit Lift außerhalb","+// [LIFT_TIEF, LIFT_HOCH] (Überrepräsentation ab MIN_SUPPORT Aufträgen im","+// Segment, Unterrepräsentation nur bei global gängigen Modulen). Segmente","+// unter MIN_SEGMENT Aufträgen tragen keine belastbare Aussage.","+const MIN_SUPPORT: i64 = 3;","+const MIN_SEGMENT: i64 = 5;","+const LIFT_HOCH: f64 = 1.5;","+const LIFT_TIEF: f64 = 0.5;","+const MIN_VERSCHOBEN: usize = 2;","+","+const ORDER_JOINS: &str = \"auftraege a \\","+ JOIN kunden k ON k.kunde_id = a.kunde_id \\","+ LEFT JOIN kunde_firmendaten f ON f.kunde_id = a.kunde_id \\","+ LEFT JOIN auftrag_fzg v ON v.auftrag_id = a.auftrag_id\";","+","+fn where_und(conds: &[&str]) -> String {","+ if conds.is_empty() {","+ \"1=1\".to_string()","+ } else {","+ conds.join(\" AND \")","+ }"," }"," ","-const VORSCHLAG_TMPL: &str = \"Du konfigurierst Würth-Fahrzeugeinrichtungen. Aus den Modulen \\","-historischer Aufträge ähnlicher Kunden stellst du EINE stimmige Vorschlagskonfiguration für das \\","-angegebene Profil zusammen. Antworte AUSSCHLIESSLICH mit einem JSON-Objekt, keine Erklärung \\","-davor/danach, keine Markdown-Zäune.\\n\\","+fn order_count(con: &Connection, conds: &[&str], werte: &[&String]) -> Result<i64, String> {","+ con.query_row(","+ &format!(","+ \"SELECT COUNT(DISTINCT a.auftrag_id) FROM {ORDER_JOINS} WHERE {}\",","+ where_und(conds)","+ ),","+ rusqlite::params_from_iter(werte.iter()),","+ |r| r.get(0),","+ )","+ .map_err(|e| e.to_string())","+}","+","+// Modul -> Anzahl Aufträge (distinct) im Segment","+fn modul_counts(","+ con: &Connection,","+ conds: &[&str],","+ werte: &[&String],","+) -> Result<std::collections::HashMap<String, i64>, String> {","+ let mut stmt = con","+ .prepare(&format!(","+ \"SELECT p.modul_id, COUNT(DISTINCT p.auftrag_id) \\","+ FROM positionen p JOIN {ORDER_JOINS} ON a.auftrag_id = p.auftrag_id \\","+ WHERE {} GROUP BY p.modul_id\",","+ where_und(conds)","+ ))","+ .map_err(|e| e.to_string())?;","+ let rows = stmt","+ .query_map(rusqlite::params_from_iter(werte.iter()), |r| {","+ Ok((r.get::<_, String>(0)?, r.get::<_, i64>(1)?))","+ })","+ .map_err(|e| e.to_string())?;","+ let mut out = std::collections::HashMap::new();","+ for row in rows {","+ let (id, n) = row.map_err(|e| e.to_string())?;","+ out.insert(id, n);","+ }","+ Ok(out)","+}","+","+const VORSCHLAG_TMPL: &str = \"Du konfigurierst Würth-Fahrzeugeinrichtungen. Grundlage ist eine \\","+Korrelationsanalyse über den Auftragsbestand: je Modul der Anteil der Aufträge im Bereich \\","+(= Profil), die es enthalten, verglichen mit dem Gesamtbestand (Lift = Anteil Bereich / Anteil \\","+gesamt). Stelle EINE stimmige Vorschlagskonfiguration zusammen. Antworte AUSSCHLIESSLICH mit \\","+einem JSON-Objekt, keine Erklärung davor/danach, keine Markdown-Zäune.\\n\\"," Regeln:\\n\\","-- Verwende ausschließlich modul_id-Werte aus der Kandidatenliste.\\n\\","-- Häufigkeit (in wie vielen Aufträgen ein Modul vorkam) ist das wichtigste Signal.\\n\\","-- Eine komplette Einrichtung: Basis (Boden/Verkleidung) falls in der Liste, dann Regale/Schränke, \\","-dann Befestigung/Zubehör. Typisch 6-15 Positionen.\\n\\","-- menge ganzzahlig, an der Ø-Menge orientiert.\\n\\","-- begruendung: ein kurzer Halbsatz je Position.\\n\\","+- Verwende ausschließlich modul_id-Werte aus der Liste.\\n\\","+- Bevorzuge Module mit hohem Anteil im Bereich; hoher Lift heißt charakteristisch für den Bereich.\\n\\","+- Eine komplette Einrichtung, typisch 6-15 Positionen; menge ganzzahlig, an der Ø-Menge orientiert.\\n\\","+- begruendung je Position: kurz, mit Zahlen aus der Analyse (z. B. 'in 68 % der Aufträge im Bereich, Lift 2,1').\\n\\","+- erklaerung: 2-3 Sätze zur Konfiguration; nenne auch, welche Profilmerkmale eingeflossen sind \\","+und welche ohne Einfluss blieben.\\n\\"," JSON-Format:\\n\\","-{\\\"erklaerung\\\": \\\"<2-3 Sätze, warum diese Konfiguration zum Profil passt>\\\", \\","-\\\"positionen\\\": [{\\\"modul_id\\\": \\\"<aus Liste>\\\", \\\"menge\\\": 1, \\\"begruendung\\\": \\\"<kurz>\\\"}]}\";","+{\\\"erklaerung\\\": \\\"<2-3 Sätze>\\\", \\\"positionen\\\": [{\\\"modul_id\\\": \\\"<aus Liste>\\\", \\\"menge\\\": 1, \\","+\\\"begruendung\\\": \\\"<kurz>\\\"}]}\";"," ","-const VORSCHLAG_FILTER: &str = \"(?1 = '' OR f.gewerk = ?1) \\","- AND (?2 = '' OR k.land = ?2) \\","- AND (?3 = '' OR f.mitarbeiter_kl = ?3) \\","- AND (?4 = '' OR v.fzg_klasse = ?4) \\","- AND (?5 = '' OR v.groesse = ?5)\";","-"," fn vorschlag_ai_inner("," gewerk: String,"," land: String,"]},{"oldStart":449,"oldLines":89,"newStart":519,"newLines":179,"lines":[" fzg_groesse: String,"," ) -> Result<VorschlagAntwort, String> {"," let con = Connection::open(DB_PATH).map_err(|e| e.to_string())?;","- let params = rusqlite::params![gewerk, land, groesse, fzg_klasse, fzg_groesse];","+ let n_gesamt = order_count(&con, &[], &[])?;"," ","- // Basis: wie viele Aufträge passen zum Profil","- let n_basis: i64 = con","- .query_row(","- &format!(","- \"SELECT COUNT(DISTINCT a.auftrag_id) \\","- FROM auftraege a \\","- JOIN kunden k USING (kunde_id) \\","- LEFT JOIN kunde_firmendaten f USING (kunde_id) \\","- LEFT JOIN auftrag_fzg v USING (auftrag_id) \\","- WHERE {VORSCHLAG_FILTER}\"","- ),","- params,","- |r| r.get(0),","- )","- .map_err(|e| e.to_string())?;","- if n_basis == 0 {","- return Err(\"Keine Aufträge passen zu diesem Profil — Filter lockern.\".to_string());","+ // Globale Modul-Statistik (Klartext, Artikelnummer, Häufigkeit im Gesamtbestand)","+ struct ModulInfo {","+ klartext: String,","+ artikelnummer: Option<String>,","+ n_all: i64,"," }","-","- // Kandidaten: Module dieser Aufträge, nach Häufigkeit"," let mut stmt = con","- .prepare(&format!(","+ .prepare("," \"SELECT p.modul_id, COALESCE(m.klartext, p.modul_id), m.artikelnummer, \\","- COUNT(DISTINCT p.auftrag_id) AS n, \\","- AVG(COALESCE(p.menge, 1)), \\","- AVG(p.preis / COALESCE(a.wechselkurs, 1)) \\","- FROM positionen p \\","- JOIN auftraege a ON a.auftrag_id = p.auftrag_id \\","- JOIN kunden k ON k.kunde_id = a.kunde_id \\","- LEFT JOIN kunde_firmendaten f ON f.kunde_id = k.kunde_id \\","- LEFT JOIN auftrag_fzg v ON v.auftrag_id = p.auftrag_id \\","- LEFT JOIN module m ON m.modul_id = p.modul_id \\","- WHERE {VORSCHLAG_FILTER} \\","- GROUP BY p.modul_id ORDER BY n DESC LIMIT 60\"","- ))","+ COUNT(DISTINCT p.auftrag_id) \\","+ FROM positionen p LEFT JOIN module m ON m.modul_id = p.modul_id \\","+ GROUP BY p.modul_id\",","+ )"," .map_err(|e| e.to_string())?;"," let rows = stmt","- .query_map(params, |r| {","+ .query_map([], |r| {"," Ok(("," r.get::<_, String>(0)?,","- Kandidat {","+ ModulInfo {"," klartext: r.get(1)?,"," artikelnummer: r.get(2)?,","- n_auftraege: r.get(3)?,","- avg_menge: r.get(4)?,","- avg_preis_eur: r.get(5)?,","+ n_all: r.get(3)?,"," },"," ))"," })"," .map_err(|e| e.to_string())?;","- let mut kandidaten: Vec<(String, Kandidat)> = Vec::new();","+ let mut global = std::collections::HashMap::new();"," for row in rows {","- kandidaten.push(row.map_err(|e| e.to_string())?);","+ let (id, info) = row.map_err(|e| e.to_string())?;","+ global.insert(id, info);"," }"," ","- // Prompt: Profil + Kandidatenliste","- let oder = |v: &str| if v.is_empty() { \"beliebig\".to_string() } else { v.to_string() };","- let fahrzeug = if fzg_klasse.is_empty() && fzg_groesse.is_empty() {","- \"beliebig\".to_string()","- } else {","- format!(\"{} {}\", oder(&fzg_klasse), fzg_groesse).trim().to_string()","- };","- let mut user = format!(","- \"Profil:\\n- Gewerk: {}\\n- Land: {}\\n- Größe (Mitarbeiter): {}\\n- Fahrzeug: {}\\n\\","- Basis: {} Aufträge passen zum Profil.\\n\\n\\","- Kandidaten (modul_id | Bezeichnung | Artikelnr | in Aufträgen | Ø Menge | Ø Preis EUR):\\n\",","- oder(&gewerk),","- oder(&land),","- oder(&groesse),","- fahrzeug,","- n_basis","- );","- for (id, k) in &kandidaten {","+ // Merkmals-Relevanz: verschiebt das einzelne Merkmal die Modulwahl?","+ let gesetzt: Vec<(&str, &str, &String)> = [","+ (\"Branche\", \"f.gewerk = ?\", &gewerk),","+ (\"Land\", \"k.land = ?\", &land),","+ (\"Größe\", \"f.mitarbeiter_kl = ?\", &groesse),","+ (\"Fahrzeugklasse\", \"v.fzg_klasse = ?\", &fzg_klasse),","+ (\"Fahrzeuggröße\", \"v.groesse = ?\", &fzg_groesse),","+ ]","+ .into_iter()","+ .filter(|(_, _, w)| !w.is_empty())","+ .collect();","+","+ let mut mit_einfluss: Vec<String> = Vec::new();","+ let mut ohne_einfluss: Vec<String> = Vec::new();","+ let mut b_conds: Vec<&str> = Vec::new();","+ let mut b_werte: Vec<&String> = Vec::new();","+ for (name, cond, wert) in &gesetzt {","+ let m = order_count(&con, &[cond], &[wert])?;","+ let einfluss = if m < MIN_SEGMENT {","+ false","+ } else {","+ let seg = modul_counts(&con, &[cond], &[wert])?;","+ let verschoben = global","+ .iter()","+ .filter(|(id, info)| {","+ let n_seg = *seg.get(*id).unwrap_or(&0);","+ let p_seg = n_seg as f64 / m as f64;","+ let p_all = info.n_all as f64 / n_gesamt as f64;","+ let lift = p_seg / p_all;","+ (n_seg >= MIN_SUPPORT && lift >= LIFT_HOCH)","+ || (info.n_all >= MIN_SEGMENT && lift <= LIFT_TIEF)","+ })","+ .count();","+ verschoben >= MIN_VERSCHOBEN","+ };","+ if einfluss {","+ mit_einfluss.push(name.to_string());","+ b_conds.push(cond);","+ b_werte.push(wert);","+ } else {","+ ohne_einfluss.push(name.to_string());","+ }","+ }","+","+ // Bereich = Schnitt der einflussreichen Merkmale (keine -> Gesamtbestand)","+ let n_basis = order_count(&con, &b_conds, &b_werte)?;","+ if n_basis == 0 {","+ return Err(","+ \"Die einflussreichen Merkmale treffen zusammen keine Aufträge.\".to_string(),","+ );","+ }","+ let ber_counts = modul_counts(&con, &b_conds, &b_werte)?;","+","+ // Ø Menge und Ø Preis (EUR) je Modul aus den Bereichs-Aufträgen","+ let mut stmt = con","+ .prepare(&format!(","+ \"SELECT p.modul_id, AVG(COALESCE(p.menge, 1)), \\","+ AVG(p.preis / COALESCE(a.wechselkurs, 1)) \\","+ FROM positionen p JOIN {ORDER_JOINS} ON a.auftrag_id = p.auftrag_id \\","+ WHERE {} GROUP BY p.modul_id\",","+ where_und(&b_conds)","+ ))","+ .map_err(|e| e.to_string())?;","+ let rows = stmt","+ .query_map(rusqlite::params_from_iter(b_werte.iter()), |r| {","+ Ok((r.get::<_, String>(0)?, (r.get::<_, f64>(1)?, r.get::<_, f64>(2)?)))","+ })","+ .map_err(|e| e.to_string())?;","+ let mut ber_preise = std::collections::HashMap::new();","+ for row in rows {","+ let (id, mp) = row.map_err(|e| e.to_string())?;","+ ber_preise.insert(id, mp);","+ }","+","+ // Korrelationstabelle: wiederkehrende Module des Bereichs mit Lift","+ let mut korrelationen: Vec<KorrModul> = ber_counts","+ .iter()","+ .filter(|(_, n)| **n >= 2)","+ .map(|(id, n)| {","+ let info = &global[id];","+ let p_bereich = *n as f64 / n_basis as f64;","+ let p_gesamt = info.n_all as f64 / n_gesamt as f64;","+ KorrModul {","+ modul_id: id.clone(),","+ klartext: info.klartext.clone(),","+ n_bereich: *n,","+ p_bereich,","+ p_gesamt,","+ lift: p_bereich / p_gesamt,","+ }","+ })","+ .collect();","+ korrelationen.sort_unstable_by(|a, b| {","+ b.n_bereich","+ .cmp(&a.n_bereich)","+ .then(b.lift.total_cmp(&a.lift))","+ });","+ korrelationen.truncate(60);","+ if korrelationen.is_empty() {","+ return Err(\"Keine wiederkehrenden Module im Bereich.\".to_string());","+ }","+","+ // Prompt: Profilstatus + Korrelationszeilen","+ let mut user = String::from(\"Profil:\\n\");","+ for (name, _, wert) in [","+ (\"Branche\", \"\", &gewerk),","+ (\"Land\", \"\", &land),","+ (\"Größe (Mitarbeiter)\", \"\", &groesse),","+ (\"Fahrzeugklasse\", \"\", &fzg_klasse),","+ (\"Fahrzeuggröße\", \"\", &fzg_groesse),","+ ] {","+ let kurz = name.split(' ').next().unwrap();","+ let status = if wert.is_empty() {","+ \"nicht gesetzt\".to_string()","+ } else if mit_einfluss.iter().any(|e| e.starts_with(kurz)) {","+ format!(\"{wert} (eingeflossen)\")","+ } else {","+ format!(\"{wert} (ohne messbaren Einfluss auf die Modulwahl — ignoriert)\")","+ };","+ user.push_str(&format!(\"- {name}: {status}\\n\"));","+ }","+ user.push_str(&format!(","+ \"Bereich: {n_basis} von {n_gesamt} Aufträgen.\\n\\n\\","+ Korrelationen (modul_id | Bezeichnung | Artikelnr | Anteil Bereich | Anteil gesamt | Lift | Ø Menge | Ø Preis EUR):\\n\"","+ ));","+ for k in &korrelationen {","+ let (avg_menge, avg_preis) = ber_preise[&k.modul_id];"," user.push_str(&format!(","- \"{} | {} | {} | {} | {:.1} | {:.2}\\n\",","- id,","+ \"{} | {} | {} | {:.0} % ({} von {}) | {:.0} % | {:.2} | {:.1} | {:.2}\\n\",","+ k.modul_id,"," k.klartext,","- k.artikelnummer.as_deref().unwrap_or(\"—\"),","- k.n_auftraege,","- k.avg_menge,","- k.avg_preis_eur","+ global[&k.modul_id].artikelnummer.as_deref().unwrap_or(\"—\"),","+ 100.0 * k.p_bereich,","+ k.n_bereich,","+ n_basis,","+ 100.0 * k.p_gesamt,","+ k.lift,","+ avg_menge,","+ avg_preis"," ));"," }"," "]},{"oldStart":543,"oldLines":32,"newStart":703,"newLines":60,"lines":[" .as_array()"," .ok_or(\"keine positionen im LLM-JSON\")?;"," ","- let kand_map: std::collections::HashMap<&str, &Kandidat> =","- kandidaten.iter().map(|(id, k)| (id.as_str(), k)).collect();","+ // Regelabgleich gegen das gewählte Fahrzeug: flaggt, sperrt nicht.","+ // Ohne gewähltes Fahrzeug greift keine der (fahrzeugbedingten) Regeln.","+ let mut regel_stmt = con","+ .prepare(","+ \"SELECT text FROM regeln \\","+ WHERE (fzg_klasse IS NULL OR fzg_klasse = ?1) \\","+ AND (groesse_muster IS NULL OR ?2 LIKE groesse_muster) \\","+ AND (?3 LIKE klartext_muster OR ?4 LIKE klartext_muster) \\","+ LIMIT 1\",","+ )","+ .map_err(|e| e.to_string())?;","+","+ let korr_map: std::collections::HashMap<&str, &KorrModul> = korrelationen","+ .iter()","+ .map(|k| (k.modul_id.as_str(), k))","+ .collect();"," let mut positionen = Vec::new();"," for p in pos_arr {"," let id = p[\"modul_id\"].as_str().ok_or(\"modul_id fehlt im LLM-JSON\")?;"," let menge = p[\"menge\"]"," .as_i64()"," .ok_or_else(|| format!(\"menge fehlt bei {id}\"))?;","- let k = kand_map","+ let k = korr_map"," .get(id)","- .ok_or_else(|| format!(\"LLM lieferte modul_id außerhalb der Kandidaten: {id}\"))?;","+ .ok_or_else(|| format!(\"LLM lieferte modul_id außerhalb der Korrelationsliste: {id}\"))?;","+ let flag: Option<String> = regel_stmt","+ .query_row(","+ rusqlite::params![fzg_klasse, fzg_groesse, k.klartext, k.modul_id],","+ |r| r.get(0),","+ )","+ .optional()","+ .map_err(|e| e.to_string())?;"," positionen.push(VorschlagPosition {"," modul_id: id.to_string(),","- artikelnummer: k.artikelnummer.clone(),","+ artikelnummer: global[id].artikelnummer.clone(),"," klartext: k.klartext.clone(),"," menge,","- einzelpreis_eur: k.avg_preis_eur,","+ einzelpreis_eur: ber_preise[id].1,"," begruendung: p[\"begruendung\"].as_str().unwrap_or(\"\").to_string(),","+ p_bereich: k.p_bereich,","+ p_gesamt: k.p_gesamt,","+ lift: k.lift,","+ flag,"," });"," }"," "," Ok(VorschlagAntwort {"," n_basis,","- n_kandidaten: kandidaten.len() as i64,","+ n_gesamt,","+ mit_einfluss,","+ ohne_einfluss,"," erklaerung,"," positionen,","+ korrelationen,"," })"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"fdb4df58-5f68-47bf-b949-1c19b7242fef","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"6f08e0b8-49b9-4a17-82a9-7fd7246d7e2e","isSidechain":false,"message":{"model":"claude-fable-5","id":"msg_01MJTdJodVMeLZkibGadrULe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013uNio9GSTn7bzZa7J64DSK","name":"Edit","input":{"replace_all":false,"file_path":"/Users/marcus.hinz/projects/08-07/src/App.vue","old_string":" <article v-if=\"vAntwort\" class=\"airesult\">\n <h3>Vorschlagskonfiguration</h3>\n <p class=\"aierkl\">{{ vAntwort.erklaerung }}</p>\n <p class=\"vbasis\">\n Basis: {{ vAntwort.n_basis }} Aufträge zum Profil ·\n {{ vAntwort.n_kandidaten }} Kandidaten-Module\n </p>\n <table class=\"stueck\">\n <thead>\n <tr>\n <th class=\"c-pos\">#</th>\n <th class=\"c-bez\">Bezeichnung</th>\n <th class=\"c-art\">Artikel-Nr.</th>\n <th class=\"c-num\">Menge</th>\n <th class=\"c-num\">Ø Einzelpreis</th>\n <th class=\"c-num\">Wert</th>\n <th class=\"c-beg\">Begründung</th>\n </tr>\n </thead>\n <tbody>\n <tr v-for=\"(p, idx) in vAntwort.positionen\" :key=\"p.modul_id\">\n <td class=\"c-pos\">{{ idx + 1 }}</td>\n <td class=\"c-bez\">\n <span class=\"bez\">{{ p.klartext }}</span>\n <span class=\"mid\">{{ p.modul_id }}</span>\n </td>\n <td class=\"c-art\">{{ p.artikelnummer ?? 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{"parentUuid":"9fa7a7e6-bf54-4d22-a342-1cf189aa3aad","isSidechain":false,"message":{"model":"claude-fable-5","id":"msg_01KQC8z9M8ErV6wtYam7js84","type":"message","role":"assistant","content":[{"type":"text","text":"Umbau fertig. Alle drei SQL-Formen laufen gegen die DB, und der Regelabgleich greift (Werkbank + L1H1 → Flag).\n\nWas jetzt drin ist:\n\n**Korrelationsanalyse (Rust, `vorschlag_ai`)**\n- Je gesetztem Merkmal (Branche, Land, Größe, Fahrzeugklasse, Fahrzeuggröße) wird einzeln gemessen, ob es die Modulwahl verschiebt: Lift je Modul gegen den Gesamtbestand; Einfluss erst ab 2 verschobenen Modulen (Lift ≥ 1,5 bzw. ≤ 0,5, Mindest-Support 3, Segmente unter 5 Aufträgen zählen nicht). Merkmale ohne Einfluss definieren den Bereich nicht mit.\n- Der Bereich ist der Schnitt der einflussreichen Merkmale; je Modul gehen Anteil im Bereich, Anteil gesamt und Lift in die Analyse.\n\n**LLM**\n- Sonnet 5 bekommt Profilstatus (eingeflossen / ohne Einfluss / nicht gesetzt) plus die Korrelationstabelle und erstellt die Konfiguration; Begründungen sollen die Zahlen zitieren („in 68 % der Aufträge im Bereich, Lift 2,1\"). Modul-IDs außerhalb der Liste sind ein harter Fehler; Preise und Artikelnummern kommen aus der Historie.\n\n**Regeln (Tabelle `regeln`, in `schema.sql` und Live-DB)**\n- 6 handgepflegte Demo-Regeln (Werkbank/Schraubstock/Langgutwannen vs. L1/L2, Ständerrahmen vs. Pickup). Konflikte mit dem gewählten Fahrzeug sperren nichts: Die Position bleibt im Vorschlag und wird geflaggt.\n\n**UI**\n- Kopfzeile „Bereich: 33 von 191 Aufträgen · eingeflossen: … · ohne Einfluss: …\", Tabelle mit Spalten Bereich-Anteil und Lift, geflaggte Zeilen amber mit „⚠ … — ggf. anderes Fahrzeug wählen\", Korrelationstabelle aufklappbar wie „SQL anzeigen\".\n\nTypeScript-Check sauber; der Rust-Teil zeigt sich beim nächsten `npm run tauri dev`."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":917,"cache_read_input_tokens":152909,"output_tokens":925,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":917,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":925,"cache_read_input_tokens":152909,"cache_creation_input_tokens":917,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":917},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CckcqcaBeGs77y9J6gZSR","type":"assistant","uuid":"68c2899c-912a-471a-a596-535f54063c2e","timestamp":"2026-07-06T10:07:49.348Z","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/Users/marcus.hinz/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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