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{"parentUuid":"725f6dd1-f878-4129-b264-fee60cdaa066","isSidechain":false,"promptId":"a4dc4d46-b486-4397-adf2-5fcdd9841729","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017xw7o1cLP6uabt2R1KCMgT","type":"tool_result","content":"1\t-- Würth-KI-Demo — Datenmodell\n2\t-- Schicht 2 (Arbeit): aus extracted_xml_data.json normalisiert.\n3\t-- Schicht 3 (Veredelung): angereicherte Felder mit Quelle + Konfidenz, getrennt von den Rohwerten.\n4\t-- Roh-JSON bleibt Single Source of Truth.\n5\t\n6\tPRAGMA foreign_keys = ON;\n7\t\n8\tDROP TABLE IF EXISTS positionen;\n9\tDROP TABLE IF EXISTS auftraege;\n10\tDROP TABLE IF EXISTS kunde_firmendaten;\n11\tDROP TABLE IF EXISTS web_cache;\n12\tDROP TABLE IF EXISTS module;\n13\tDROP TABLE IF EXISTS kunden;\n14\t\n15\t-- ---------------------------------------------------------------------------\n16\t-- Arbeitsschicht\n17\t-- ---------------------------------------------------------------------------\n18\t\n19\tCREATE TABLE kunden (\n20\t  kunde_id     INTEGER PRIMARY KEY,\n21\t  name_roh     TEXT NOT NULL,   -- Original kde_name (entity-decoded)\n22\t  name_norm    TEXT NOT NULL,   -- Dedup-Schlüssel: lower, Whitespace kollabiert\n23\t  name_1       TEXT,\n24\t  name_2       TEXT,\n25\t  strasse      TEXT,\n26\t  plz          TEXT,\n27\t  landeskenner TEXT,            -- roh (NO / DE / Norway / Deutschland / leer)\n28\t  land         TEXT,            -- normiert (ISO-2)\n29\t  UNIQUE (name_norm, plz)\n30\t);\n31\t\n32\tCREATE TABLE auftraege (\n33\t  auftrag_id                TEXT PRIMARY KEY,   -- export-Key\n34\t  kunde_id                  INTEGER NOT NULL REFERENCES kunden(kunde_id),\n35\t  bearbeiter                TEXT,               -- Kürzel aus dem Key\n36\t  datum                     TEXT,               -- ISO-Datum aus dem Key\n37\t  quotation_state           TEXT,               -- order | offer\n38\t  montage_art               TEXT,\n39\t  currency                  TEXT,               -- roh aus JSON (unzuverlässig, stets EUR)\n40\t  waehrung                  TEXT,               -- echte Landeswährung aus .plax (EUR / NOK / ...)\n41\t  wechselkurs               REAL,               -- Einheiten je EUR am kurs_datum (EUR = 1)\n42\t  kurs_datum                TEXT,               -- Handelstag des Kurses (ECB)\n43\t  wuerth_innen_landeskenner TEXT,\n44\t  -- Kopf / Preise\n45\t  summe_einkaufspreis       REAL,\n46\t  summe_positionen_liste    REAL,\n47\t  summe_positionen          REAL,\n48\t  montage_zeit              REAL,\n49\t  montage_wert              REAL,\n50\t  fracht                    REAL,\n51\t  rabatt_wert               REAL,\n52\t  rabatt_prozent            REAL,\n53\t  aufschlag_wert            REAL,\n54\t  aufschlag_prozent         REAL,\n55\t  kundenpreis_netto         REAL,\n56\t  aw_wert                   REAL,\n57\t  re                        REAL,\n58\t  ka                        REAL,\n59\t  -- Fahrzeug (roh, durchgängig leer — Kandidat fürs Nachfüllen in der Veredelung)\n60\t  fzg_hersteller_id         TEXT,\n61\t  fzg_typ                   TEXT,\n62\t  fzg_baujahr               TEXT,\n63\t  fzg_dach                  TEXT,\n64\t  fzg_antrieb               TEXT,\n65\t  fzg_leasing               INTEGER,\n66\t  fzg_rad_stand             TEXT,\n67\t  fzg_seitentuer            TEXT,\n68\t  fzg_wand                  TEXT\n69\t);\n70\t\n71\tCREATE TABLE module (\n72\t  modul_id      TEXT PRIMARY KEY,\n73\t  klartext      TEXT,    -- Veredelung: lesbarer Name (aus PDF-Stückliste)\n74\t  artikelnummer TEXT,    -- Würth-Artikelnummer (aus PDF-Stückliste)\n75\t  kategorie     TEXT     -- Veredelung: Boden / Regal / Befestigung / Montageset / ...\n76\t);\n77\t\n78\tCREATE TABLE positionen (\n79\t  position_id     INTEGER PRIMARY KEY,\n80\t  auftrag_id      TEXT NOT NULL REFERENCES auftraege(auftrag_id),\n81\t  modul_id        TEXT NOT NULL REFERENCES module(modul_id),\n82\t  menge           INTEGER,        -- Summe der COMP-Mengen aus struktur_data_json\n83\t  einkaufspreis   REAL,\n84\t  preis_liste     REAL,\n85\t  preis           REAL,\n86\t  rabatt_wert     REAL,\n87\t  rabatt_prozent  REAL,           -- abgeleitet: rabatt_wert / preis_liste\n88\t  aufschlag_wert  REAL,\n89\t  aw_wert         REAL,\n90\t  typ             TEXT,\n91\t  UNIQUE (auftrag_id, modul_id)\n92\t);\n93\t\n94\t-- ---------------------------------------------------------------------------\n95\t-- Veredelungsschicht (Firmendaten aus dem Internet)\n96\t-- ---------------------------------------------------------------------------\n97\t\n98\t-- Roh-Cache je Web-Abruf: Anreicherung läuft einmal offline, Demo bleibt\n99\t-- deterministisch und ohne Netz; erneut ausführbar ohne neue Web-Calls.\n100\tCREATE TABLE web_cache (\n101\t  cache_id     INTEGER PRIMARY KEY,\n102\t  query_name   TEXT,        -- Firmenname wie abgefragt\n103\t  query_plz    TEXT,\n104\t  quelle       TEXT,        -- handelsregister | northdata | google_places | website | llm_web\n105\t  abgerufen_am TEXT,\n106\t  http_status  INTEGER,\n107\t  raw_json     TEXT,        -- unveränderte Antwort\n108\t  UNIQUE (query_name, query_plz, quelle)\n109\t);\n110\t\n111\t-- Konsolidierte, veredelte Firma je Kunde (1:1 nach Merge der Quellen).\n112\tCREATE TABLE kunde_firmendaten (\n113\t  kunde_id        INTEGER PRIMARY KEY REFERENCES kunden(kunde_id),\n114\t  branche_nace    TEXT,     -- normierter Code (NACE / WZ)\n115\t  branche_text    TEXT,     -- Klartext\n116\t  gewerk          TEXT,     -- Keymap (src/catalog.ts): Kfz / SHK/HLK / Bau-Dach / Elektro / Holz-Zimmerei / Fördertechnik / Industrie / Handel / öffentlich / Sonstige\n117\t  segment         TEXT,     -- Handwerk | Industrie | Flotte | öffentlich\n118\t  mitarbeiter_kl  TEXT,     -- Größenklasse statt exakter Zahl\n119\t  umsatz_kl       TEXT,\n120\t  gruendungsjahr  INTEGER,\n121\t  rechtsform      TEXT,\n122\t  website         TEXT,\n123\t  geo_lat         REAL,\n124\t  geo_lon         REAL,\n125\t  ort             TEXT,\n126\t  bundesland      TEXT,\n127\t  hr_nummer       TEXT,     -- Handelsregister-Beleg für den Match\n128\t  konfidenz       REAL,     -- 0..1\n129\t  bestaetigt      INTEGER,  -- 1 = über Sitz/HR bestätigt, 0 = unbestätigt\n130\t  quelle_primaer  TEXT,     -- welche Web-Quelle den Match getragen hat\n131\t  veredelt_am     TEXT\n132\t);\n133\t\n134\t-- Fahrzeug je Auftrag, aus den .plax-Rohtexten per LLM extrahiert (Veredelung).\n135\tCREATE TABLE auftrag_fzg (\n136\t  auftrag_id   TEXT PRIMARY KEY REFERENCES auftraege(auftrag_id),\n137\t  fzg_klasse   TEXT,    -- van | pickup | pkw | lkw | unbekannt\n138\t  hersteller   TEXT,\n139\t  modell       TEXT,\n140\t  groesse      TEXT,    -- L1H1 / L3H2 / MH1 ...\n141\t  baujahr      TEXT,\n142\t  konfidenz    REAL,\n143\t  quelle       TEXT,    -- pdf | subject | interner_text | modulcode | keine\n144\t  veredelt_am  TEXT\n145\t);\n146\t\n147\tCREATE INDEX idx_positionen_modul   ON positionen(modul_id);\n148\tCREATE INDEX idx_positionen_auftrag ON positionen(auftrag_id);\n149\tCREATE INDEX idx_auftraege_kunde    ON auftraege(kunde_id);\n150\t\n151\t-- ---------------------------------------------------------------------------\n152\t-- Sicht: geliefert (links) vs. angereichert (rechts), eine Zeile je Kunde\n153\t-- ---------------------------------------------------------------------------\n154\tDROP VIEW IF EXISTS v_kunde_360;\n155\tCREATE VIEW v_kunde_360 AS\n156\tSELECT\n157\t  k.kunde_id,\n158\t  -- geliefert (Plato-Export)\n159\t  k.name_roh,\n160\t  k.name_1,\n161\t  k.strasse,\n162\t  k.plz,\n163\t  k.landeskenner,\n164\t  k.land,\n165\t  COUNT(DISTINCT a.auftrag_id)   AS n_auftraege,\n166\t  SUM(a.kundenpreis_netto / COALESCE(a.wechselkurs, 1)) AS umsatz_netto,  -- EUR-normiert\n167\t\n168\t  -- angereichert (Web-Recherche)\n169\t  f.branche_text,\n170\t  f.branche_nace,\n171\t  f.gewerk,\n172\t  f.segment,\n173\t  f.mitarbeiter_kl,\n174\t  f.umsatz_kl,\n175\t  f.gruendungsjahr,\n176\t  f.rechtsform,\n177\t  f.website,\n178\t  f.ort,\n179\t  f.bundesland,\n180\t  f.hr_nummer,\n181\t  f.konfidenz,\n182\t  f.bestaetigt,\n183\t  f.quelle_primaer\n184\tFROM kunden k\n185\tLEFT JOIN auftraege a USING (kunde_id)\n186\tLEFT JOIN kunde_firmendaten f USING (kunde_id)\n187\tGROUP BY k.kunde_id;\n188\t"}]},"uuid":"df6b80d0-108a-4715-8ebf-fafecbecc1d4","timestamp":"2026-07-06T08:18:21.865Z","toolUseResult":{"type":"text","file":{"filePath":"/home/marcuh/projects/08-07/pipeline/schema.sql","content":"-- Würth-KI-Demo — Datenmodell\n-- Schicht 2 (Arbeit): aus extracted_xml_data.json normalisiert.\n-- Schicht 3 (Veredelung): angereicherte Felder mit Quelle + Konfidenz, getrennt von den Rohwerten.\n-- Roh-JSON bleibt Single Source of Truth.\n\nPRAGMA foreign_keys = ON;\n\nDROP TABLE IF EXISTS positionen;\nDROP TABLE IF EXISTS auftraege;\nDROP TABLE IF EXISTS kunde_firmendaten;\nDROP TABLE IF EXISTS web_cache;\nDROP TABLE IF EXISTS module;\nDROP TABLE IF EXISTS kunden;\n\n-- ---------------------------------------------------------------------------\n-- Arbeitsschicht\n-- ---------------------------------------------------------------------------\n\nCREATE TABLE kunden (\n  kunde_id     INTEGER PRIMARY KEY,\n  name_roh     TEXT NOT NULL,   -- Original kde_name (entity-decoded)\n  name_norm    TEXT NOT NULL,   -- Dedup-Schlüssel: lower, Whitespace kollabiert\n  name_1       TEXT,\n  name_2       TEXT,\n  strasse      TEXT,\n  plz          TEXT,\n  landeskenner TEXT,            -- roh (NO / DE / Norway / Deutschland / leer)\n  land         TEXT,            -- normiert (ISO-2)\n  UNIQUE (name_norm, plz)\n);\n\nCREATE TABLE auftraege (\n  auftrag_id                TEXT PRIMARY KEY,   -- export-Key\n  kunde_id                  INTEGER NOT NULL REFERENCES kunden(kunde_id),\n  bearbeiter                TEXT,               -- Kürzel aus dem Key\n  datum                     TEXT,               -- ISO-Datum aus dem Key\n  quotation_state           TEXT,               -- order | offer\n  montage_art               TEXT,\n  currency                  TEXT,               -- roh aus JSON (unzuverlässig, stets EUR)\n  waehrung                  TEXT,               -- echte Landeswährung aus .plax (EUR / NOK / ...)\n  wechselkurs               REAL,               -- Einheiten je EUR am kurs_datum (EUR = 1)\n  kurs_datum                TEXT,               -- Handelstag des Kurses (ECB)\n  wuerth_innen_landeskenner TEXT,\n  -- Kopf / Preise\n  summe_einkaufspreis       REAL,\n  summe_positionen_liste    REAL,\n  summe_positionen          REAL,\n  montage_zeit              REAL,\n  montage_wert              REAL,\n  fracht                    REAL,\n  rabatt_wert               REAL,\n  rabatt_prozent            REAL,\n  aufschlag_wert            REAL,\n  aufschlag_prozent         REAL,\n  kundenpreis_netto         REAL,\n  aw_wert                   REAL,\n  re                        REAL,\n  ka                        REAL,\n  -- Fahrzeug (roh, durchgängig leer — Kandidat fürs Nachfüllen in der Veredelung)\n  fzg_hersteller_id         TEXT,\n  fzg_typ                   TEXT,\n  fzg_baujahr               TEXT,\n  fzg_dach                  TEXT,\n  fzg_antrieb               TEXT,\n  fzg_leasing               INTEGER,\n  fzg_rad_stand             TEXT,\n  fzg_seitentuer            TEXT,\n  fzg_wand                  TEXT\n);\n\nCREATE TABLE module (\n  modul_id      TEXT PRIMARY KEY,\n  klartext      TEXT,    -- Veredelung: lesbarer Name (aus PDF-Stückliste)\n  artikelnummer TEXT,    -- Würth-Artikelnummer (aus PDF-Stückliste)\n  kategorie     TEXT     -- Veredelung: Boden / Regal / Befestigung / Montageset / ...\n);\n\nCREATE TABLE positionen (\n  position_id     INTEGER PRIMARY KEY,\n  auftrag_id      TEXT NOT NULL REFERENCES auftraege(auftrag_id),\n  modul_id        TEXT NOT NULL REFERENCES module(modul_id),\n  menge           INTEGER,        -- Summe der COMP-Mengen aus struktur_data_json\n  einkaufspreis   REAL,\n  preis_liste     REAL,\n  preis           REAL,\n  rabatt_wert     REAL,\n  rabatt_prozent  REAL,           -- abgeleitet: rabatt_wert / preis_liste\n  aufschlag_wert  REAL,\n  aw_wert         REAL,\n  typ             TEXT,\n  UNIQUE (auftrag_id, modul_id)\n);\n\n-- ---------------------------------------------------------------------------\n-- Veredelungsschicht (Firmendaten aus dem Internet)\n-- ---------------------------------------------------------------------------\n\n-- Roh-Cache je Web-Abruf: Anreicherung läuft einmal offline, Demo bleibt\n-- deterministisch und ohne Netz; erneut ausführbar ohne neue Web-Calls.\nCREATE TABLE web_cache (\n  cache_id     INTEGER PRIMARY KEY,\n  query_name   TEXT,        -- Firmenname wie abgefragt\n  query_plz    TEXT,\n  quelle       TEXT,        -- handelsregister | northdata | google_places | website | llm_web\n  abgerufen_am TEXT,\n  http_status  INTEGER,\n  raw_json     TEXT,        -- unveränderte Antwort\n  UNIQUE (query_name, query_plz, quelle)\n);\n\n-- Konsolidierte, veredelte Firma je Kunde (1:1 nach Merge der Quellen).\nCREATE TABLE kunde_firmendaten (\n  kunde_id        INTEGER PRIMARY KEY REFERENCES kunden(kunde_id),\n  branche_nace    TEXT,     -- normierter Code (NACE / WZ)\n  branche_text    TEXT,     -- Klartext\n  gewerk          TEXT,     -- Keymap (src/catalog.ts): Kfz / SHK/HLK / Bau-Dach / Elektro / Holz-Zimmerei / Fördertechnik / Industrie / Handel / öffentlich / Sonstige\n  segment         TEXT,     -- Handwerk | Industrie | Flotte | öffentlich\n  mitarbeiter_kl  TEXT,     -- Größenklasse statt exakter Zahl\n  umsatz_kl       TEXT,\n  gruendungsjahr  INTEGER,\n  rechtsform      TEXT,\n  website         TEXT,\n  geo_lat         REAL,\n  geo_lon         REAL,\n  ort             TEXT,\n  bundesland      TEXT,\n  hr_nummer       TEXT,     -- Handelsregister-Beleg für den Match\n  konfidenz       REAL,     -- 0..1\n  bestaetigt      INTEGER,  -- 1 = über Sitz/HR bestätigt, 0 = unbestätigt\n  quelle_primaer  TEXT,     -- welche Web-Quelle den Match getragen hat\n  veredelt_am     TEXT\n);\n\n-- Fahrzeug je Auftrag, aus den .plax-Rohtexten per LLM extrahiert (Veredelung).\nCREATE TABLE auftrag_fzg (\n  auftrag_id   TEXT PRIMARY KEY REFERENCES auftraege(auftrag_id),\n  fzg_klasse   TEXT,    -- van | pickup | pkw | lkw | unbekannt\n  hersteller   TEXT,\n  modell       TEXT,\n  groesse      TEXT,    -- L1H1 / L3H2 / MH1 ...\n  baujahr      TEXT,\n  konfidenz    REAL,\n  quelle       TEXT,    -- pdf | subject | interner_text | modulcode | keine\n  veredelt_am  TEXT\n);\n\nCREATE INDEX idx_positionen_modul   ON positionen(modul_id);\nCREATE INDEX idx_positionen_auftrag ON positionen(auftrag_id);\nCREATE INDEX idx_auftraege_kunde    ON auftraege(kunde_id);\n\n-- ---------------------------------------------------------------------------\n-- Sicht: geliefert (links) vs. angereichert (rechts), eine Zeile je Kunde\n-- ---------------------------------------------------------------------------\nDROP VIEW IF EXISTS v_kunde_360;\nCREATE VIEW v_kunde_360 AS\nSELECT\n  k.kunde_id,\n  -- geliefert (Plato-Export)\n  k.name_roh,\n  k.name_1,\n  k.strasse,\n  k.plz,\n  k.landeskenner,\n  k.land,\n  COUNT(DISTINCT a.auftrag_id)   AS n_auftraege,\n  SUM(a.kundenpreis_netto / COALESCE(a.wechselkurs, 1)) AS umsatz_netto,  -- EUR-normiert\n\n  -- angereichert (Web-Recherche)\n  f.branche_text,\n  f.branche_nace,\n  f.gewerk,\n  f.segment,\n  f.mitarbeiter_kl,\n  f.umsatz_kl,\n  f.gruendungsjahr,\n  f.rechtsform,\n  f.website,\n  f.ort,\n  f.bundesland,\n  f.hr_nummer,\n  f.konfidenz,\n  f.bestaetigt,\n  f.quelle_primaer\nFROM kunden k\nLEFT JOIN auftraege a USING (kunde_id)\nLEFT JOIN kunde_firmendaten f USING (kunde_id)\nGROUP BY k.kunde_id;\n","numLines":188,"startLine":1,"totalLines":188}},"sourceToolAssistantUUID":"725f6dd1-f878-4129-b264-fee60cdaa066","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"type":"ai-title","aiTitle":"Projektübersicht und Kontextwiedherstellung","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08"}
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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":"/home/marcuh/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":"/home/marcuh/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":"/home/marcuh/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: 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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":"/home/marcuh/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":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
{"parentUuid":"7096f09b-9f86-4121-a2ae-256b8617e117","isSidechain":false,"promptId":"a4dc4d46-b486-4397-adf2-5fcdd9841729","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ShMxst25wqt6pVWfXJs8E6","type":"tool_result","content":"The file /home/marcuh/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":"683b257d-a86b-48fc-9ac6-5fb61f2899a0","timestamp":"2026-07-06T08:22:12.607Z","toolUseResult":{"filePath":"/home/marcuh/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":"/home/marcuh/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":"/home/marcuh/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() {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8126,"cache_read_input_tokens":80264,"output_tokens":3686,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":8126,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":3686,"cache_read_input_tokens":80264,"cache_creation_input_tokens":8126,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":8126},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CckUogLB3eyHjPgXLy81L","type":"assistant","uuid":"d75c9807-5e47-4ccc-821f-777e63f2cf27","timestamp":"2026-07-06T08:22:49.254Z","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
{"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 /home/marcuh/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":"/home/marcuh/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":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"ab149861-187b-4f73-a505-cbaeac990172","isSidechain":false,"message":{"model":"claude-fable-5","id":"msg_019ed4SAji7M6D5qGBzibfZh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0122PvxVz3YzaTL3CcSgmWER","name":"Edit","input":{"replace_all":false,"file_path":"/home/marcuh/projects/08-07/src/App.vue","old_string":"const 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>","new_string":"const 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// ---- Vorschlagsengine (vorschlag_ai) ----\ninterface VorschlagPosition {\n  modul_id: string;\n  artikelnummer: string | null;\n  klartext: string;\n  menge: number;\n  einzelpreis_eur: number;\n  begruendung: string;\n}\ninterface VorschlagAntwort {\n  n_basis: number;\n  n_kandidaten: number;\n  erklaerung: string;\n  positionen: VorschlagPosition[];\n}\n\nconst vGewerk = ref(\"\");\nconst vLand = ref(\"\");\nconst vGroesse = ref(\"\");\nconst vFzg = ref(\"\"); // \"klasse|groesse\"\nconst vLaden = ref(false);\nconst vFehler = ref(\"\");\nconst vAntwort = ref<VorschlagAntwort | null>(null);\n\nfunction zaehle(werte: (string | null)[]): { wert: string; n: number }[] {\n  const m = new Map<string, number>();\n  for (const w of werte) if (w) m.set(w, (m.get(w) ?? 0) + 1);\n  return [...m.entries()].map(([wert, n]) => ({ wert, n }));\n}\n\nconst vGewerkOpts = computed(() =>\n  zaehle(kunden.value.map((k) => k.gewerk)).sort((a, b) => b.n - a.n),\n);\nconst vLandOpts = computed(() =>\n  zaehle(kunden.value.map((k) => k.land)).sort((a, b) => b.n - a.n),\n);\nconst vGroesseOpts = computed(() =>\n  zaehle(kunden.value.map((k) => k.mitarbeiter_kl)).sort((a, b) =>\n    a.wert.localeCompare(b.wert, \"de\", { numeric: true }),\n  ),\n);\nconst vFzgOpts = computed(() => {\n  const m = new Map<string, number>();\n  for (const a of auftraege.value) {\n    if (!a.fzg_klasse || a.fzg_klasse === \"unbekannt\") continue;\n    const key = `${a.fzg_klasse}|${a.fzg_groesse ?? \"\"}`;\n    m.set(key, (m.get(key) ?? 0) + 1);\n  }\n  return [...m.entries()]\n    .map(([wert, n]) => {\n      const [klasse, groesse] = wert.split(\"|\");\n      return { wert, n, label: groesse ? `${klasse} ${groesse}` : klasse };\n    })\n    .sort((a, b) => b.n - a.n);\n});\n\nasync function vorschlagen() {\n  const [klasse, groesse] = vFzg.value ? vFzg.value.split(\"|\") : [\"\", \"\"];\n  vLaden.value = true;\n  vFehler.value = \"\";\n  vAntwort.value = null;\n  try {\n    vAntwort.value = await invoke<VorschlagAntwort>(\"vorschlag_ai\", {\n      gewerk: vGewerk.value,\n      land: vLand.value,\n      groesse: vGroesse.value,\n      fzgKlasse: klasse,\n      fzgGroesse: groesse,\n    });\n  } catch (e) {\n    vFehler.value = String(e);\n  } finally {\n    vLaden.value = false;\n  }\n}\n\nconst vSumme = computed(() =>\n  (vAntwort.value?.positionen ?? []).reduce(\n    (s, p) => s + p.einzelpreis_eur * p.menge,\n    0,\n  ),\n);\n\n</script>"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2613,"cache_read_input_tokens":92437,"output_tokens":1759,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2613,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1759,"cache_read_input_tokens":92437,"cache_creation_input_tokens":2613,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2613},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CckUvDBy99SXX6AasHh8B","type":"assistant","uuid":"89546d93-1ac1-43aa-ab27-daae40ec8fcd","timestamp":"2026-07-06T08:24:01.840Z","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
{"parentUuid":"89546d93-1ac1-43aa-ab27-daae40ec8fcd","isSidechain":false,"promptId":"a4dc4d46-b486-4397-adf2-5fcdd9841729","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0122PvxVz3YzaTL3CcSgmWER","type":"tool_result","content":"The file /home/marcuh/projects/08-07/src/App.vue has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"339f531e-c46b-4256-8a4a-4a71faa6f45f","timestamp":"2026-07-06T08:24:53.606Z","toolUseResult":{"filePath":"/home/marcuh/projects/08-07/src/App.vue","oldString":"const 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>","newString":"const 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// ---- Vorschlagsengine (vorschlag_ai) ----\ninterface VorschlagPosition {\n  modul_id: string;\n  artikelnummer: string | null;\n  klartext: string;\n  menge: number;\n  einzelpreis_eur: number;\n  begruendung: string;\n}\ninterface VorschlagAntwort {\n  n_basis: number;\n  n_kandidaten: number;\n  erklaerung: string;\n  positionen: VorschlagPosition[];\n}\n\nconst vGewerk = ref(\"\");\nconst vLand = ref(\"\");\nconst vGroesse = ref(\"\");\nconst vFzg = ref(\"\"); // \"klasse|groesse\"\nconst vLaden = ref(false);\nconst vFehler = ref(\"\");\nconst vAntwort = ref<VorschlagAntwort | null>(null);\n\nfunction zaehle(werte: (string | null)[]): { wert: string; n: number }[] {\n  const m = new Map<string, number>();\n  for (const w of werte) if (w) m.set(w, (m.get(w) ?? 0) + 1);\n  return [...m.entries()].map(([wert, n]) => ({ wert, n }));\n}\n\nconst vGewerkOpts = computed(() =>\n  zaehle(kunden.value.map((k) => k.gewerk)).sort((a, b) => b.n - a.n),\n);\nconst vLandOpts = computed(() =>\n  zaehle(kunden.value.map((k) => k.land)).sort((a, b) => b.n - a.n),\n);\nconst vGroesseOpts = computed(() =>\n  zaehle(kunden.value.map((k) => k.mitarbeiter_kl)).sort((a, b) =>\n    a.wert.localeCompare(b.wert, \"de\", { numeric: true }),\n  ),\n);\nconst vFzgOpts = computed(() => {\n  const m = new Map<string, number>();\n  for (const a of auftraege.value) {\n    if (!a.fzg_klasse || a.fzg_klasse === \"unbekannt\") continue;\n    const key = `${a.fzg_klasse}|${a.fzg_groesse ?? \"\"}`;\n    m.set(key, (m.get(key) ?? 0) + 1);\n  }\n  return [...m.entries()]\n    .map(([wert, n]) => {\n      const [klasse, groesse] = wert.split(\"|\");\n      return { wert, n, label: groesse ? `${klasse} ${groesse}` : klasse };\n    })\n    .sort((a, b) => b.n - a.n);\n});\n\nasync function vorschlagen() {\n  const [klasse, groesse] = vFzg.value ? vFzg.value.split(\"|\") : [\"\", \"\"];\n  vLaden.value = true;\n  vFehler.value = \"\";\n  vAntwort.value = null;\n  try {\n    vAntwort.value = await invoke<VorschlagAntwort>(\"vorschlag_ai\", {\n      gewerk: vGewerk.value,\n      land: vLand.value,\n      groesse: vGroesse.value,\n      fzgKlasse: klasse,\n      fzgGroesse: groesse,\n    });\n  } catch (e) {\n    vFehler.value = String(e);\n  } finally {\n    vLaden.value = false;\n  }\n}\n\nconst vSumme = computed(() =>\n  (vAntwort.value?.positionen ?? []).reduce(\n    (s, p) => s + p.einzelpreis_eur * p.menge,\n    0,\n  ),\n);\n\n</script>","originalFile":null,"structuredPatch":[{"oldStart":405,"oldLines":6,"newStart":405,"newLines":89,"lines":["   return rows.map((r) => ({ ...r, pct: Math.round((100 * r.value) / max) + \"%\" }));"," });"," ","+// ---- Vorschlagsengine (vorschlag_ai) ----","+interface VorschlagPosition {","+  modul_id: string;","+  artikelnummer: string | null;","+  klartext: string;","+  menge: number;","+  einzelpreis_eur: number;","+  begruendung: string;","+}","+interface VorschlagAntwort {","+  n_basis: number;","+  n_kandidaten: number;","+  erklaerung: string;","+  positionen: VorschlagPosition[];","+}","+","+const vGewerk = ref(\"\");","+const vLand = ref(\"\");","+const vGroesse = ref(\"\");","+const vFzg = ref(\"\"); // \"klasse|groesse\"","+const vLaden = ref(false);","+const vFehler = ref(\"\");","+const vAntwort = ref<VorschlagAntwort | null>(null);","+","+function zaehle(werte: (string | null)[]): { wert: string; n: number }[] {","+  const m = new Map<string, number>();","+  for (const w of werte) if (w) m.set(w, (m.get(w) ?? 0) + 1);","+  return [...m.entries()].map(([wert, n]) => ({ wert, n }));","+}","+","+const vGewerkOpts = computed(() =>","+  zaehle(kunden.value.map((k) => k.gewerk)).sort((a, b) => b.n - a.n),","+);","+const vLandOpts = computed(() =>","+  zaehle(kunden.value.map((k) => k.land)).sort((a, b) => b.n - a.n),","+);","+const vGroesseOpts = computed(() =>","+  zaehle(kunden.value.map((k) => k.mitarbeiter_kl)).sort((a, b) =>","+    a.wert.localeCompare(b.wert, \"de\", { numeric: true }),","+  ),","+);","+const vFzgOpts = computed(() => {","+  const m = new Map<string, number>();","+  for (const a of auftraege.value) {","+    if (!a.fzg_klasse || a.fzg_klasse === \"unbekannt\") continue;","+    const key = `${a.fzg_klasse}|${a.fzg_groesse ?? \"\"}`;","+    m.set(key, (m.get(key) ?? 0) + 1);","+  }","+  return [...m.entries()]","+    .map(([wert, n]) => {","+      const [klasse, groesse] = wert.split(\"|\");","+      return { wert, n, label: groesse ? `${klasse} ${groesse}` : klasse };","+    })","+    .sort((a, b) => b.n - a.n);","+});","+","+async function vorschlagen() {","+  const [klasse, groesse] = vFzg.value ? vFzg.value.split(\"|\") : [\"\", \"\"];","+  vLaden.value = true;","+  vFehler.value = \"\";","+  vAntwort.value = null;","+  try {","+    vAntwort.value = await invoke<VorschlagAntwort>(\"vorschlag_ai\", {","+      gewerk: vGewerk.value,","+      land: vLand.value,","+      groesse: vGroesse.value,","+      fzgKlasse: klasse,","+      fzgGroesse: groesse,","+    });","+  } catch (e) {","+    vFehler.value = String(e);","+  } finally {","+    vLaden.value = false;","+  }","+}","+","+const vSumme = computed(() =>","+  (vAntwort.value?.positionen ?? []).reduce(","+    (s, p) => s + p.einzelpreis_eur * p.menge,","+    0,","+  ),","+);","+"," </script>"," "," <template>"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"89546d93-1ac1-43aa-ab27-daae40ec8fcd","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"5f9c376d-853c-4d23-9799-94ac5b025813","isSidechain":false,"message":{"model":"claude-fable-5","id":"msg_01UwZjG5R72FsGxTxPxSqC9w","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UywwDXCKD8v47nvHaFyYcF","name":"Edit","input":{"replace_all":false,"file_path":"/home/marcuh/projects/08-07/src/App.vue","old_string":"      <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>","new_string":"      <button\n        class=\"tab\"\n        :class=\"{ on: activeTab === 'fragen' }\"\n        @click=\"activeTab = 'fragen'\"\n      >\n        Fragen\n      </button>\n      <button\n        class=\"tab\"\n        :class=\"{ on: activeTab === 'vorschlag' }\"\n        @click=\"activeTab = 'vorschlag'\"\n      >\n        Vorschlag\n      </button>\n    </nav>\n    <div class=\"titel\">\n      <h1>{{ activeTab === \"kpis\" ? \"KPIs\" : activeTab === \"vorschlag\" ? \"Vorschlag\" : \"Kundenstamm\" }}</h1>"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1816,"cache_read_input_tokens":95050,"output_tokens":499,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1816,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":499,"cache_read_input_tokens":95050,"cache_creation_input_tokens":1816,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1816},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CckV1YirnmSbxLo5FeLFk","type":"assistant","uuid":"6923e1ac-5c4c-4f64-a986-eb2c68fdb3d6","timestamp":"2026-07-06T08:25:03.149Z","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
{"parentUuid":"6923e1ac-5c4c-4f64-a986-eb2c68fdb3d6","isSidechain":false,"promptId":"a4dc4d46-b486-4397-adf2-5fcdd9841729","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UywwDXCKD8v47nvHaFyYcF","type":"tool_result","content":"The file /home/marcuh/projects/08-07/src/App.vue has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"uuid":"b8235ab5-cb3a-4a4d-8905-df4b3e6b049c","timestamp":"2026-07-06T08:25:15.983Z","toolUseResult":{"filePath":"/home/marcuh/projects/08-07/src/App.vue","oldString":"      <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>","newString":"      <button\n        class=\"tab\"\n        :class=\"{ on: activeTab === 'fragen' }\"\n        @click=\"activeTab = 'fragen'\"\n      >\n        Fragen\n      </button>\n      <button\n        class=\"tab\"\n        :class=\"{ on: activeTab === 'vorschlag' }\"\n        @click=\"activeTab = 'vorschlag'\"\n      >\n        Vorschlag\n      </button>\n    </nav>\n    <div class=\"titel\">\n      <h1>{{ activeTab === \"kpis\" ? \"KPIs\" : activeTab === \"vorschlag\" ? \"Vorschlag\" : \"Kundenstamm\" }}</h1>","originalFile":null,"structuredPatch":[{"oldStart":514,"oldLines":9,"newStart":514,"newLines":16,"lines":["       >","         Fragen","       </button>","+      <button","+        class=\"tab\"","+        :class=\"{ on: activeTab === 'vorschlag' }\"","+        @click=\"activeTab = 'vorschlag'\"","+      >","+        Vorschlag","+      </button>","     </nav>","     <div class=\"titel\">","-      <h1>{{ activeTab === \"kpis\" ? \"KPIs\" : \"Kundenstamm\" }}</h1>","+      <h1>{{ activeTab === \"kpis\" ? \"KPIs\" : activeTab === \"vorschlag\" ? \"Vorschlag\" : \"Kundenstamm\" }}</h1>","       <span class=\"sub\"","         >geliefert &amp; angereichert ·","         {{ gefiltert.length }}<template v-if=\"gefiltert.length !== kunden.length\">/{{ kunden.length }}</template>"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"6923e1ac-5c4c-4f64-a986-eb2c68fdb3d6","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
{"parentUuid":"b8235ab5-cb3a-4a4d-8905-df4b3e6b049c","isSidechain":false,"message":{"model":"claude-fable-5","id":"msg_01NGfXwKQTJVkQGMDmv5zuJo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019n2yDGQqzjYvfoeufGoH1N","name":"Edit","input":{"replace_all":false,"file_path":"/home/marcuh/projects/08-07/src/App.vue","old_string":"      <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>","new_string":"      <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  <section class=\"vorschlag\" v-show=\"activeTab === 'vorschlag'\">\n    <div class=\"profilleiste\">\n      <label class=\"profilfeld\">\n        <span class=\"optlabel\">Branche</span>\n        <select v-model=\"vGewerk\">\n          <option value=\"\">beliebig</option>\n          <option v-for=\"o in vGewerkOpts\" :key=\"o.wert\" :value=\"o.wert\">\n            {{ o.wert }} ({{ o.n }})\n          </option>\n        </select>\n      </label>\n      <label class=\"profilfeld\">\n        <span class=\"optlabel\">Land</span>\n        <select v-model=\"vLand\">\n          <option value=\"\">beliebig</option>\n          <option v-for=\"o in vLandOpts\" :key=\"o.wert\" :value=\"o.wert\">\n            {{ LAND_NAMES[o.wert] ?? o.wert }} ({{ o.n }})\n          </option>\n        </select>\n      </label>\n      <label class=\"profilfeld\">\n        <span class=\"optlabel\">Größe</span>\n        <select v-model=\"vGroesse\">\n          <option value=\"\">beliebig</option>\n          <option v-for=\"o in vGroesseOpts\" :key=\"o.wert\" :value=\"o.wert\">\n            {{ o.wert }} MA ({{ o.n }})\n          </option>\n        </select>\n      </label>\n      <label class=\"profilfeld\">\n        <span class=\"optlabel\">Fahrzeug</span>\n        <select v-model=\"vFzg\">\n          <option value=\"\">beliebig</option>\n          <option v-for=\"o in vFzgOpts\" :key=\"o.wert\" :value=\"o.wert\">\n            {{ o.label }} ({{ o.n }})\n          </option>\n        </select>\n      </label>\n      <button class=\"fragebtn\" @click=\"vorschlagen()\" :disabled=\"vLaden\">\n        {{ vLaden ? \"…\" : \"Vorschlag erzeugen\" }}\n      </button>\n    </div>\n\n    <p v-if=\"vFehler\" class=\"fehler vfehler\">{{ vFehler }}</p>\n    <p v-if=\"vLaden\" class=\"dinfo\">Konfiguration wird zusammengestellt…</p>\n\n    <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 ?? \"—\" }}</td>\n            <td class=\"c-num\">{{ p.menge }}</td>\n            <td class=\"c-num\">{{ eur2.format(p.einzelpreis_eur) }}</td>\n            <td class=\"c-num wert\">{{ eur2.format(p.einzelpreis_eur * p.menge) }}</td>\n            <td class=\"c-beg\">{{ p.begruendung }}</td>\n          </tr>\n        </tbody>\n        <tfoot>\n          <tr>\n            <td colspan=\"5\" class=\"c-sum\">Summe ({{ vAntwort.positionen.length }} Positionen)</td>\n            <td class=\"c-num wert\">{{ eur2.format(vSumme) }}</td>\n            <td></td>\n          </tr>\n        </tfoot>\n      </table>\n    </article>\n  </section>"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":556,"cache_read_input_tokens":96866,"output_tokens":1850,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":556,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1850,"cache_read_input_tokens":96866,"cache_creation_input_tokens":556,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":556},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CckV3CnMisRHkFnzAExMC","type":"assistant","uuid":"c5dcd117-2144-4b0d-9486-f8d5a3dc2d39","timestamp":"2026-07-06T08:25:36.202Z","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
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{"parentUuid":"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":"/home/marcuh/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":"/home/marcuh/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":"/home/marcuh/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%', 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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":"/home/marcuh/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    })\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":6481,"cache_read_input_tokens":126394,"output_tokens":9829,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":6481,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":9829,"cache_read_input_tokens":126394,"cache_creation_input_tokens":6481,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6481},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CckbqTCWWNgN7zaJEromU","type":"assistant","uuid":"fdb4df58-5f68-47bf-b949-1c19b7242fef","timestamp":"2026-07-06T09:55:48.054Z","session_id":"0b5c4773-3c8c-4d6d-97e7-12f7d3cef16e","userType":"external","entrypoint":"cli","cwd":"/home/marcuh/claude-projects/robotunits","sessionId":"3b989d4f-977f-430d-805a-0be687e3ac08","version":"2.1.201","gitBranch":"main"}
{"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 /home/marcuh/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":"/home/marcuh/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,","     })"," }"," 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