backend/csv_parser/executor.py

@@ -524,6 +524,36 @@ def _v_safe_float(value: Any) -> float | None:
         return None
 
 
+def diagnose_vitals_row(mapped_typed: dict[str, Any]) -> dict[str, Any]:
+    """Erklärt Vital-Baseline-Zeile nach Typkonvertierung (ohne DB)."""
+    d = coerce_date(mapped_typed.get("date"))
+    rhr = _v_safe_int(mapped_typed.get("resting_hr"))
+    hrv = _v_safe_int(mapped_typed.get("hrv"))
+    vo2 = _v_safe_float(mapped_typed.get("vo2_max"))
+    spo2 = _v_safe_int(mapped_typed.get("spo2"))
+    resp = _v_safe_float(mapped_typed.get("respiratory_rate"))
+    has_metric = any(x is not None for x in (rhr, hrv, vo2, spo2, resp))
+    date_raw = mapped_typed.get("date")
+    return {
+        "date_coerced_iso": d.isoformat() if d else None,
+        "date_after_convert_repr": repr(date_raw),
+        "date_after_convert_type": type(date_raw).__name__,
+        "metrics": {
+            "resting_hr": rhr,
+            "hrv": hrv,
+            "vo2_max": vo2,
+            "spo2": spo2,
+            "respiratory_rate": resp,
+        },
+        "would_pass_prefilter": d is not None and has_metric,
+        "prefilter_fail_reason": (
+            "datum_fehlt"
+            if d is None
+            else ("keine_baseline_metrik" if not has_metric else None)
+        ),
+    }
+
+
 def _import_vitals_baseline(
     cur,
     profile_id: str,

backend/csv_parser/type_converter.py

@@ -402,6 +402,29 @@ def _lookup_db_field(csv_col: str, field_mappings: Mapping[str, str]) -> str | N
     return None
 
 
+def _vitals_baseline_alias_db_field(csv_col: str) -> str | None:
+    """
+    Apple Health: deutsch „Vitalwerte.csv“ (Breitexport) vs. schmale Vorlage
+    (Start / Resting Heart Rate …). Ohne Alias wählt die Analyse oft die
+    englische Vorlage → jede Zeile „Datum fehlt“.
+    Abgleich über normalisierten Header (normalize_header_for_signature).
+    """
+    n = normalize_header_for_signature(str(csv_col))
+    if n in ("datum_uhrzeit", "start", "date_time", "datetime"):
+        return "date"
+    if "ruhepuls" in n or n.startswith("resting_heart_rate"):
+        return "resting_hr"
+    if "herzfrequenzvariabilit" in n or "heart_rate_variability" in n:
+        return "hrv"
+    if "vo2" in n and "max" in n:
+        return "vo2_max"
+    if "blutsauerstoff" in n or "oxygen_saturation" in n:
+        return "spo2"
+    if "atemfrequenz" in n or "respiratory_rate" in n:
+        return "respiratory_rate"
+    return None
+
+
 def build_row_after_mapping(
     csv_row: Mapping[str, str],
     field_mappings: Mapping[str, str],
@@ -416,6 +439,8 @@ def build_row_after_mapping(
     tc = type_conversions or {}
     for csv_col, raw in csv_row.items():
         db_field = _lookup_db_field(str(csv_col), field_mappings)
+        if not db_field and module == "vitals_baseline":
+            db_field = _vitals_baseline_alias_db_field(csv_col)
         if not db_field:
             continue
         spec = tc.get(db_field)
@@ -426,3 +451,79 @@ def build_row_after_mapping(
         except Exception:
             out[db_field] = None
     return out
+
+
+def diagnose_row_mapping(
+    csv_row: Mapping[str, str],
+    field_mappings: Mapping[str, str],
+    type_conversions: Mapping[str, Any] | None,
+    module: str | None = None,
+    *,
+    mapped_typed: Mapping[str, Any] | None = None,
+    max_columns: int = 96,
+) -> dict[str, Any]:
+    """
+    Nur für Diagnose-Endpunkt: Quelle (Vorlage vs. Vital-Alias), Konvertierung pro Spalte,
+    Ergebnis wie build_row_after_mapping (json-freundliche Vorschau).
+    """
+    tc = type_conversions or {}
+    per_column: list[dict[str, Any]] = []
+    n = 0
+    for csv_col, raw in csv_row.items():
+        if n >= max_columns:
+            break
+        n += 1
+        sc = str(csv_col)
+        via_t = _lookup_db_field(sc, field_mappings)
+        via_a = None
+        if not via_t and module == "vitals_baseline":
+            via_a = _vitals_baseline_alias_db_field(sc)
+        target = via_t or via_a
+        src = "template" if via_t else ("alias" if via_a else "none")
+        spec = tc.get(target) if target else None
+        conv_err: str | None = None
+        conv_preview: Any = None
+        if target:
+            try:
+                conv_val = convert_value(
+                    (raw or "").strip(),
+                    target,
+                    spec if isinstance(spec, dict) else None,
+                    module=module,
+                )
+                conv_preview = conv_val.isoformat() if hasattr(conv_val, "isoformat") else conv_val
+            except Exception as e:
+                conv_err = str(e)
+        per_column.append(
+            {
+                "csv_column": sc,
+                "raw_preview": ((raw or "")[:120]),
+                "db_field": target,
+                "source": src,
+                "convert_error": conv_err,
+                "converted_preview": conv_preview,
+            }
+        )
+
+    src_map = (
+        build_row_after_mapping(csv_row, field_mappings, type_conversions, module=module)
+        if mapped_typed is None
+        else mapped_typed
+    )
+    mapped_preview: dict[str, Any] = {}
+    for k, v in src_map.items():
+        mapped_preview[k] = v.isoformat() if hasattr(v, "isoformat") else v
+
+    tmpl_keys = [
+        str(k)
+        for k, v in field_mappings.items()
+        if v not in (None, "-", "_skip")
+    ]
+
+    return {
+        "per_column": per_column,
+        "columns_truncated": len(csv_row) > max_columns,
+        "template_mapped_keys": tmpl_keys[:40],
+        "template_mapped_keys_truncated": len(tmpl_keys) > 40,
+        "mapped": mapped_preview,
+    }

backend/routers/csv_import.py

@@ -15,15 +15,17 @@ from auth import require_auth, check_feature_access, increment_feature_usage
 from feature_logger import log_feature_usage
 from db import get_db, get_cursor, r2d
 from routers.profiles import get_pid
-from csv_parser.executor import run_universal_csv_import
+from csv_parser.executor import diagnose_vitals_row, run_universal_csv_import
 from csv_parser.core import (
     decode_raw_bytes,
     column_signature,
     get_csv_import_limits,
     headers_signature_rank_metrics,
+    iter_csv_dict_rows,
     normalize_header_for_signature,
     parse_csv_sample,
 )
+from csv_parser.type_converter import build_row_after_mapping, diagnose_row_mapping
 from csv_parser.field_units import source_unit_choices_for_field
 from csv_parser.module_registry import get_module_definition, list_modules, validate_field_mappings
 from csv_parser.sleep_apple_import import detect_apple_sleep_csv_format
@@ -339,6 +341,70 @@ async def analyze_csv(
     }
 
 
+@router.post("/import-diagnose")
+async def csv_import_diagnose(
+    file: UploadFile = File(...),
+    mapping_id: int = Form(...),
+    module: Optional[str] = Form(default=None),
+    x_profile_id: Optional[str] = Header(default=None),
+    session: dict = Depends(require_auth),
+):
+    """
+    Kein Import, keine Quota: gleiche Datei + gewählte Vorlage wie beim Import,
+    aber nur die ersten Zeilen durch Mapping/Typkonvertierung (und Vital-Checks).
+    Zum Debugging wenn «Datum fehlt» o. Ä. ohne DB-Zugriff.
+    """
+    pid = get_pid(x_profile_id)
+    raw = await file.read()
+    limits = _load_import_limits()
+    max_bytes = limits.get("max_file_bytes", 52_428_800)
+    if len(raw) > max_bytes:
+        raise HTTPException(413, f"Datei zu groß (max. {max_bytes} Bytes)")
+    text = decode_raw_bytes(raw)
+    if not text.strip():
+        raise HTTPException(400, "Leere Datei")
+
+    with get_db() as conn:
+        cur = get_cursor(conn)
+        m = _fetch_mapping_row(cur, mapping_id, pid, module)
+
+    if not get_module_definition(m["module"]):
+        raise HTTPException(400, f"Modul nicht unterstützt: {m['module']}")
+
+    fm = m.get("field_mappings") or {}
+    if isinstance(fm, str):
+        fm = {}
+    tc = m.get("type_conversions")
+    if not isinstance(tc, dict):
+        tc = {}
+    delim = str(m.get("delimiter") or ",")
+    exec_module = str(m["module"])
+
+    rows_out: list[dict[str, Any]] = []
+    for i, row in enumerate(iter_csv_dict_rows(text, delim, has_header=True)):
+        if i >= 5:
+            break
+        typed = build_row_after_mapping(row, fm, tc, module=exec_module)
+        dm = diagnose_row_mapping(row, fm, tc, module=exec_module, mapped_typed=typed)
+        entry: dict[str, Any] = {
+            "row_index": i + 1,
+            **dm,
+        }
+        if exec_module == "vitals_baseline":
+            entry["vitals"] = diagnose_vitals_row(typed)
+        rows_out.append(entry)
+
+    return {
+        "mapping_id": mapping_id,
+        "mapping_name": m.get("mapping_name"),
+        "module": exec_module,
+        "delimiter_used": delim,
+        "has_header": bool(m.get("has_header", True)),
+        "rows_diagnosed": len(rows_out),
+        "rows": rows_out,
+    }
+
+
 def _fetch_mapping_row(
     cur,
     mapping_id: int,

backend/tests/test_csv_import_executor.py

@@ -11,8 +11,9 @@ import uuid
 
 import pytest
 
-from csv_parser.executor import run_universal_csv_import
+from csv_parser.executor import diagnose_vitals_row, run_universal_csv_import
 from csv_parser.sleep_apple_import import detect_apple_sleep_csv_format
+from csv_parser.type_converter import build_row_after_mapping, diagnose_row_mapping
 
 
 class _SeqCursor:
@@ -130,6 +131,44 @@ def test_run_universal_import_vitals_baseline_upsert_insert_path():
     assert any("INSERT INTO vitals_baseline" in q[0] for q in cur.executes)
 
 
+def test_run_universal_import_wide_german_vitals_with_english_template_slots():
+    """Breiter Apple-DE-Export, aber nur englische Vorlagen-Spalten → über Aliase erkennbar."""
+    text = (
+        "Datum/Uhrzeit,Aktive Energie (kJ),Ruhepuls (count/min),Atemfrequenz (count/min)"
+        ",Blutsauerstoffsättigung (%),Herzfrequenzvariabilität (ms),VO2 max (ml/(kg·min))\n"
+        "2026-04-03 00:00:00,,53,15.61,95.22,37.26,\n"
+    )
+    mapping = {
+        "delimiter": ",",
+        "has_header": True,
+        "field_mappings": {
+            "Start": "date",
+            "Resting Heart Rate": "resting_hr",
+            "Heart Rate Variability": "hrv",
+            "VO2 Max": "vo2_max",
+            "Oxygen Saturation": "spo2",
+            "Respiratory Rate": "respiratory_rate",
+        },
+        "type_conversions": {
+            "date": {
+                "type": "datetime",
+                "format": "yyyy-mm-dd HH:MM:SS",
+                "extract": "date_only",
+                "flexible": True,
+            },
+            "resting_hr": {"type": "int", "flexible": True},
+            "hrv": {"type": "int", "flexible": True},
+            "vo2_max": {"type": "float", "decimal_separator": "auto", "flexible": True},
+            "spo2": {"type": "int", "flexible": True},
+            "respiratory_rate": {"type": "float", "decimal_separator": "auto", "flexible": True},
+        },
+    }
+    cur = _SeqCursor([{"inserted": True, "id": "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee"}])
+    out = run_universal_csv_import(cur, PID, "vitals_baseline", text, "wide.csv", mapping)
+    assert out["rows_errors"] == 0
+    assert out["rows_imported"] == 1
+
+
 def test_run_universal_import_vitals_baseline_two_rows_same_day_averages():
     text = (
         "Start,Resting Heart Rate,Heart Rate Variability,VO2 Max\n"
@@ -276,3 +315,27 @@ def test_run_universal_import_weight_two_rows_same_day_last_value():
     assert len(insert_sqls) == 1
     params = insert_sqls[0][1]
     assert params[3] == 83.5
+
+
+def test_diagnose_vitals_row_and_mapping_smoke():
+    fm = {
+        "Datum/Uhrzeit": "date",
+        "Ruhepuls (count/min)": "resting_hr",
+    }
+    tc = {
+        "date": {
+            "type": "datetime",
+            "format": "yyyy-mm-dd HH:MM:SS",
+            "extract": "date_only",
+            "flexible": True,
+        },
+        "resting_hr": {"type": "int", "flexible": True},
+    }
+    row = {"Datum/Uhrzeit": "2026-04-03 00:00:00", "Ruhepuls (count/min)": "53"}
+    typed = build_row_after_mapping(row, fm, tc, module="vitals_baseline")
+    d = diagnose_vitals_row(typed)
+    assert d["date_coerced_iso"] == "2026-04-03"
+    assert d["would_pass_prefilter"] is True
+    dm = diagnose_row_mapping(row, fm, tc, module="vitals_baseline", mapped_typed=typed)
+    assert str(dm["mapped"]["date"]).startswith("2026-04-03")
+    assert any(c["csv_column"] == "Datum/Uhrzeit" and c["source"] == "template" for c in dm["per_column"])

frontend/src/pages/UniversalCsvImportPage.jsx

@@ -116,8 +116,11 @@ export default function UniversalCsvImportPage() {
   const [mappingId, setMappingId] = useState('')
   const [loadingAnalyze, setLoadingAnalyze] = useState(false)
   const [loadingImport, setLoadingImport] = useState(false)
+  const [loadingDiagnose, setLoadingDiagnose] = useState(false)
   const [error, setError] = useState(null)
   const [success, setSuccess] = useState(null)
+  const [lastImport, setLastImport] = useState(null)
+  const [diagnoseResult, setDiagnoseResult] = useState(null)
 
   const selectedChoice = useMemo(
     () => mappingChoices.find((c) => String(c.id) === String(mappingId)),
@@ -175,6 +178,8 @@ export default function UniversalCsvImportPage() {
     setMappingId('')
     setSuccess(null)
     setError(null)
+    setLastImport(null)
+    setDiagnoseResult(null)
     void runAnalyze(f)
   }
 
@@ -192,6 +197,7 @@ export default function UniversalCsvImportPage() {
     setSuccess(null)
     try {
       const res = await api.importUniversalCsv(file, Number(mappingId))
+      setLastImport(res)
       const st = res.stats || {}
       const modLabel = MODULE_LABEL[res.module] || res.module || ''
       setSuccess(
@@ -206,6 +212,24 @@ export default function UniversalCsvImportPage() {
     }
   }
 
+  const runDiagnose = async () => {
+    if (!file || !mappingId) {
+      setError('Bitte Datei und Vorlage wählen')
+      return
+    }
+    setLoadingDiagnose(true)
+    setError(null)
+    setDiagnoseResult(null)
+    try {
+      const res = await api.diagnoseUniversalCsv(file, Number(mappingId))
+      setDiagnoseResult(res)
+    } catch (e) {
+      setError(e.message || 'Diagnose fehlgeschlagen')
+    } finally {
+      setLoadingDiagnose(false)
+    }
+  }
+
   return (
     <div className="capture-page" style={{ paddingBottom: 88 }}>
       <button
@@ -263,6 +287,32 @@ export default function UniversalCsvImportPage() {
         </div>
       )}
 
+      {lastImport?.error_details?.length > 0 && (
+        <details
+          className="card"
+          style={{ marginBottom: 16, padding: 16, cursor: 'pointer' }}
+          open
+        >
+          <summary style={{ fontWeight: 600, color: 'var(--text1)' }}>
+            Zeilenfehler vom letzten Import ({lastImport.error_details.length}) — zum Kopieren aufklappen
+          </summary>
+          <pre
+            style={{
+              marginTop: 12,
+              fontSize: 12,
+              overflow: 'auto',
+              maxHeight: 320,
+              background: 'var(--surface2)',
+              padding: 12,
+              borderRadius: 8,
+              color: 'var(--text1)',
+            }}
+          >
+            {JSON.stringify(lastImport.error_details, null, 2)}
+          </pre>
+        </details>
+      )}
+
       <div className="card" style={{ marginBottom: 16, padding: 16 }}>
         <div className="form-label">1. CSV-Datei</div>
         <input
@@ -461,10 +511,30 @@ export default function UniversalCsvImportPage() {
             </p>
           )}
 
+          <div style={{ display: 'flex', flexDirection: 'column', gap: 12, marginTop: 16 }}>
+            <button
+              type="button"
+              className="btn btn-secondary"
+              style={{ width: '100%' }}
+              disabled={!file || !mappingId || !importAllowed || loadingDiagnose}
+              onClick={() => void runDiagnose()}
+            >
+              {loadingDiagnose ? (
+                <>
+                  <Loader2
+                    size={18}
+                    style={{ marginRight: 8, animation: 'spin 0.7s linear infinite' }}
+                  />{' '}
+                  Diagnose …
+                </>
+              ) : (
+                'Mapping prüfen (ohne Import)'
+              )}
+            </button>
             <button
               type="button"
               className="btn btn-primary"
-            style={{ marginTop: 16, width: '100%' }}
+              style={{ width: '100%' }}
               disabled={!file || !mappingId || !importAllowed || loadingImport}
               onClick={handleImport}
             >
@@ -478,6 +548,35 @@ export default function UniversalCsvImportPage() {
               )}
             </button>
           </div>
+
+          {diagnoseResult && (
+            <details style={{ marginTop: 20 }} open>
+              <summary style={{ cursor: 'pointer', fontWeight: 600, color: 'var(--text2)' }}>
+                Diagnose-Ergebnis ({diagnoseResult.rows_diagnosed ?? 0} Zeilen)
+              </summary>
+              <p style={{ fontSize: 13, color: 'var(--text3)', marginTop: 8, lineHeight: 1.5 }}>
+                Vorlage #{diagnoseResult.mapping_id} · {diagnoseResult.mapping_name} · Modul{' '}
+                {MODULE_LABEL[diagnoseResult.module] || diagnoseResult.module}. Bei Vitalwerten: pro Zeile{' '}
+                <code>vitals.would_pass_prefilter</code> und{' '}
+                <code>prefilter_fail_reason</code> prüfen (z. B. <code>datum_fehlt</code>).
+              </p>
+              <pre
+                style={{
+                  marginTop: 8,
+                  fontSize: 11,
+                  overflow: 'auto',
+                  maxHeight: 480,
+                  background: 'var(--surface2)',
+                  padding: 12,
+                  borderRadius: 8,
+                  color: 'var(--text1)',
+                }}
+              >
+                {JSON.stringify(diagnoseResult, null, 2)}
+              </pre>
+            </details>
+          )}
+        </div>
       )}
     </div>
   )

frontend/src/utils/api.js

@@ -490,6 +490,23 @@ export const api = {
   copyCsvMapping: (mappingId, body = null) =>
     req(`/csv/mappings/${mappingId}/copy`, body ? json(body) : { method: 'POST' }),
   /** Universal-CSV (Issue #21): Zielmodul steckt in der Vorlage; nur file + mapping_id */
+  /** Import-Diagnose: keine Datenbank-Schreibung, erste Zeilen + Mapping-Auflösung */
+  diagnoseUniversalCsv: async (file, mappingId, module = null) => {
+    const fd = new FormData()
+    fd.append('file', file)
+    fd.append('mapping_id', String(mappingId))
+    if (module) fd.append('module', module)
+    const res = await fetch(BASE + '/csv/import-diagnose', { method: 'POST', headers: hdrs(), body: fd })
+    if (!res.ok) {
+      const errText = await res.text()
+      let parsed = null
+      try {
+        parsed = JSON.parse(errText)
+      } catch { /* ignore */ }
+      throw new Error(formatFastApiDetail(parsed?.detail, errText.trim() || `HTTP ${res.status}`))
+    }
+    return res.json()
+  },
   importUniversalCsv: async (file, mappingId) => {
     const fd = new FormData()
     fd.append('file', file)