Add ERP enrichment dry run

CHANGELOG.md

@@ -2,6 +2,8 @@
 
 ## Unreleased
 
+- ERP Enrichment Dry Run für ausgewählte ERP-Felder und bestehenden RollCalc-Artikelbestand ergänzt.
+- ERP Explorer für CSV-Profiling, Dublettenanalyse und optionalen RollCalc-Abgleich ergänzt.
 - RollCalc-JSON-Importer mit strikter Struktur- und Typvalidierung ergänzt.
 - Initiale Projektstruktur angelegt.
 - Dokumentation fuer Architektur, Datenmodell, Datenwoerterbuch und Merge-Regeln erstellt.

PROJECT_KNOWLEDGE.md

@@ -40,7 +40,7 @@ Produktive ERP-Daten, lokale Quelldaten, generierte Dateien und Reports sind per
 
 ## Aktueller Stand
 
-Phase 0: Struktur, Dokumentation, Fixtures, minimale Python-Bausteine, Tests und RollCalc-JSON-Importer.
+Phase 0: Struktur, Dokumentation, Fixtures, minimale Python-Bausteine, Tests, RollCalc-JSON-Importer, ERP Explorer und ERP Enrichment Dry Run.
 
 ## Offene fachliche Fragen
 
@@ -55,6 +55,7 @@ Siehe `docs/data-model.md` und `docs/merge-rules.md`.
 ## Wichtige Dateien
 
 - `docs/data-dictionary.md`
+- `docs/erp-enrichment.md`
 - `docs/importers.md`
 - `docs/merge-rules.md`
 - `tests/fixtures/`

README.md

@@ -100,6 +100,31 @@ articles = load_rollcalc_articles(Path("data/source/rollcalc/article-data.json")
 
 Er validiert die bestehende RollCalc-JSON-Struktur strikt, erhält Artikelnummern als Strings und verändert die Quelldatei nicht. Details stehen in `docs/importers.md`.
 
+## Interne Analysewerkzeuge
+
+Der ERP Explorer profiliert einen ERP-CSV-Export, ohne daraus Import- oder Merge-Regeln abzuleiten:
+
+```python
+from pathlib import Path
+
+from article_data_manager.tools.erp_explorer import write_erp_profile_report
+
+write_erp_profile_report(
+    Path("data/source/erp/production-key-data.csv"),
+    rollcalc_path=Path("data/source/rollcalc/article-data.json"),
+)
+```
+
+Der Textreport wird standardmäßig unter `data/reports/erp_profile_report.txt` erzeugt. Die Quelldaten werden nicht verändert.
+
+## ERP Enrichment Dry Run
+
+Der ERP Enrichment Dry Run ergänzt vorhandene RollCalc-Artikel um ein separates `erp`-Objekt mit ausgewählten ERP-Produktionsinformationen. Die RollCalc-Datei definiert die relevante Artikelmenge; ERP-Artikel ohne RollCalc-Entsprechung werden ignoriert.
+
+Übernommen werden nur `ROP_PRODUCT_WIDTH`, `ROP_RATE_OF_PRODUCTION`, `SL_MINIMUM_PRODUCTION_QUANTITY` und `WPL_WORKPLACE_TEXT`. QC-Daten wie `area_weight` werden nicht aus dem ERP übernommen. `SL_PRODUCTION_SPEED` wird wegen artikelabhängiger Einheit nicht verwendet.
+
+Details stehen in `docs/erp-enrichment.md`.
+
 ## Tests
 
 ```bash

docs/erp-enrichment.md

@@ -0,0 +1,94 @@
+# ERP Enrichment Dry Run
+
+Der ERP Enrichment Dry Run reichert ausschließlich vorhandene RollCalc-Artikel mit ausgewählten ERP-Feldern an. Die RollCalc-Datei definiert die relevante Artikelmenge und Reihenfolge. ERP-Artikel ohne RollCalc-Entsprechung werden ignoriert.
+
+Es handelt sich nicht um einen vollständigen ERP-Import, keinen Merge-Prozess und keinen produktiven RollCalc-Export.
+
+## Öffentliche API
+
+```python
+from pathlib import Path
+
+from article_data_manager.enrichment.erp import (
+    enrich_rollcalc_articles_from_erp,
+    write_enrichment_outputs,
+)
+
+result = enrich_rollcalc_articles_from_erp(
+    Path("data/source/rollcalc/article-data.json"),
+    Path("data/source/erp/production-key-data.csv"),
+)
+write_enrichment_outputs(
+    result,
+    Path("data/generated/article-data.erp-enriched-dry-run.json"),
+    Path("data/reports/erp-enrichment-report.csv"),
+)
+```
+
+## Übernommene ERP-Felder
+
+| ERP-Feld | Zielfeld | Bedeutung | Einheit |
+| --- | --- | --- | --- |
+| `ROP_PRODUCT_WIDTH` | `product_width_m` | ERP-Produktbreite | m |
+| `ROP_RATE_OF_PRODUCTION` | `line_speed_m_min` | Liniengeschwindigkeit | m/min |
+| `SL_MINIMUM_PRODUCTION_QUANTITY` | `minimum_production_quantity` | Mindestproduktionsmenge | ERP-Originaleinheit |
+| `WPL_WORKPLACE_TEXT` | `workplace` | geplanter Arbeitsplatz beziehungsweise geplante Anlage | Text |
+
+`ROP_RATE_OF_PRODUCTION` ist die für Rollenwechselbetrachtungen maßgebliche Liniengeschwindigkeit in m/min. `SL_PRODUCTION_SPEED` wird nicht verwendet, weil dessen Einheit artikelabhängig sein kann. `kg_qm` wird nicht übernommen, weil `area_weight` aus QC beziehungsweise aus der bestehenden RollCalc-Datenquelle stammt.
+
+`ROP_PRODUCT_WIDTH` wird als ERP-Produktbreite übernommen, ohne Sonderfälle fachlich zu interpretieren.
+
+## Internes Dry-Run-Format
+
+Die vorhandene RollCalc-Struktur bleibt erhalten und wird um ein separates `erp`-Objekt ergänzt:
+
+```json
+{
+  "nr": "214700",
+  "name": "Stex H 751 (Tfix 751), 6,00 x 50 m",
+  "thickness": 6.722,
+  "area_weight": 0.0,
+  "core_type": 0.0,
+  "erp": {
+    "product_width_m": 6.0,
+    "line_speed_m_min": 18.5,
+    "minimum_production_quantity": 5000.0,
+    "workplace": "Anlage 3"
+  }
+}
+```
+
+Das `erp`-Objekt ist auch vorhanden, wenn kein ERP-Treffer existiert. Fehlende, widersprüchliche oder ungültige ERP-Werte erscheinen dort als `null`.
+
+Vor produktiver Verwendung in RollCalc muss dessen Ladeverhalten für das zusätzliche `erp`-Objekt geprüft werden. Langfristig soll ein eigener RollCalc-Export nur die für RollCalc vorgesehenen Felder ausgeben. ERP-Produktionsinformationen müssen nicht zwangsläufig Bestandteil des RollCalc-Exports werden.
+
+## Mehrfachtreffer und Status
+
+ERP-Zeilen werden ausschließlich über `SL_ITEM_NO` der RollCalc-Artikelnummer `nr` zugeordnet. Artikelnummern werden nicht numerisch konvertiert oder umformatiert.
+
+Mehrfachtreffer werden feldweise ausgewertet:
+
+- keine ERP-Zeile: `no_erp_match`
+- keine gefüllten Werte: `missing`
+- genau ein Wert: `unique`
+- mehrere Zeilen mit identischem Wert: `same_value_multiple_rows`
+- mehrere unterschiedliche Werte: `conflict`
+- nicht interpretierbarer numerischer Wert: `invalid`
+
+Leere Werte zählen nicht als eigener Konfliktwert. Konflikte und ungültige Werte werden berichtet und nicht automatisch aufgelöst.
+
+Artikelstatus:
+
+- `complete`: alle vier Felder haben `unique` oder `same_value_multiple_rows`
+- `partial`: mindestens ein Feld ist `missing`, aber kein Feld ist `conflict` oder `invalid`
+- `conflict`: mindestens ein Feld ist `conflict` oder `invalid`
+- `no_erp_match`: keine ERP-Zeile zur RollCalc-Artikelnummer
+
+## Ausgaben
+
+Standardpfade:
+
+- `data/generated/article-data.erp-enriched-dry-run.json`
+- `data/reports/erp-enrichment-report.csv`
+
+Die Quelldateien werden nicht verändert. Produktive Dry-Run-Ergebnisse werden nicht versioniert.

docs/importers.md

@@ -58,3 +58,24 @@ Fehlermeldungen enthalten Datei, Datensatzindex und Feldname, soweit anwendbar.
 ## Quelldatei
 
 Der Importer liest die Quelldatei nur. Er schreibt, verändert oder repariert die Datei nicht und erzeugt keine Ausgabe auf stdout oder stderr.
+
+## ERP Explorer
+
+Der ERP Explorer unter `article_data_manager.tools.erp_explorer` ist ein internes Analysewerkzeug und kein ERP-Importer. Er liest einen ERP-CSV-Export, profiliert alle Spalten, zählt doppelte Artikelnummern in `SL_ITEM_NO` und kann optional RollCalc-Artikelnummern gegen den ERP-Export abgleichen.
+
+Öffentliche API:
+
+```python
+from pathlib import Path
+
+from article_data_manager.tools.erp_explorer import profile_erp_csv, write_erp_profile_report
+
+profile = profile_erp_csv(Path("data/source/erp/production-key-data.csv"))
+write_erp_profile_report(Path("data/source/erp/production-key-data.csv"))
+```
+
+Der Report wird standardmäßig als `data/reports/erp_profile_report.txt` geschrieben. Der Explorer verändert weder ERP-CSV noch RollCalc-JSON und erzeugt keine `article-data.json`.
+
+## ERP Enrichment Dry Run
+
+Der ERP Enrichment Dry Run ist unter `docs/erp-enrichment.md` dokumentiert. Er ist kein vollständiger ERP-Importer, sondern erzeugt ein internes Dry-Run-Artefakt mit separatem `erp`-Objekt und einen CSV-Report.

src/article_data_manager/enrichment/__init__.py

@@ -0,0 +1,2 @@
+"""Read-only enrichment dry runs."""
+

src/article_data_manager/enrichment/erp.py

@@ -0,0 +1,355 @@
+"""Dry-run enrichment of existing RollCalc articles with selected ERP fields."""
+
+from __future__ import annotations
+
+import csv
+import json
+from collections import Counter, defaultdict
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any, Literal
+
+from article_data_manager.importers.rollcalc_json import load_rollcalc_articles
+
+ERP_ARTICLE_NUMBER_FIELD = "SL_ITEM_NO"
+DEFAULT_JSON_OUTPUT_PATH = Path("data/generated/article-data.erp-enriched-dry-run.json")
+DEFAULT_REPORT_OUTPUT_PATH = Path("data/reports/erp-enrichment-report.csv")
+
+FieldStatus = Literal[
+    "unique",
+    "same_value_multiple_rows",
+    "missing",
+    "conflict",
+    "invalid",
+    "no_erp_match",
+]
+ArticleStatus = Literal["complete", "partial", "conflict", "no_erp_match"]
+
+
+@dataclass(frozen=True, slots=True)
+class ErpFieldRule:
+    """Mapping rule for one explicitly approved ERP field."""
+
+    erp_field: str
+    output_field: str
+    numeric: bool
+
+
+ERP_FIELD_RULES: tuple[ErpFieldRule, ...] = (
+    ErpFieldRule("ROP_PRODUCT_WIDTH", "product_width_m", True),
+    ErpFieldRule("ROP_RATE_OF_PRODUCTION", "line_speed_m_min", True),
+    ErpFieldRule("SL_MINIMUM_PRODUCTION_QUANTITY", "minimum_production_quantity", True),
+    ErpFieldRule("WPL_WORKPLACE_TEXT", "workplace", False),
+)
+
+
+@dataclass(frozen=True, slots=True)
+class EnrichedField:
+    """Resolved dry-run value and status for one ERP target field."""
+
+    value: float | str | None
+    status: FieldStatus
+
+
+@dataclass(frozen=True, slots=True)
+class EnrichedArticle:
+    """One RollCalc article with separate ERP dry-run data."""
+
+    nr: str
+    name: str
+    source: dict[str, Any]
+    erp_match_count: int
+    fields: dict[str, EnrichedField]
+    status: ArticleStatus
+
+    def to_output_dict(self) -> dict[str, Any]:
+        """Return the source article plus the separate `erp` object."""
+
+        enriched = dict(self.source)
+        enriched["erp"] = {
+            rule.output_field: self.fields[rule.output_field].value for rule in ERP_FIELD_RULES
+        }
+        return enriched
+
+
+@dataclass(frozen=True, slots=True)
+class FieldSummary:
+    """Status counts for one output field."""
+
+    field_name: str
+    unique: int = 0
+    same_value_multiple_rows: int = 0
+    missing: int = 0
+    conflict: int = 0
+    invalid: int = 0
+    no_erp_match: int = 0
+
+
+@dataclass(frozen=True, slots=True)
+class EnrichmentSummary:
+    """Compact summary of one enrichment dry run."""
+
+    rollcalc_article_count: int
+    with_erp_match_count: int
+    without_erp_match_count: int
+    complete_count: int
+    partial_count: int
+    conflict_count: int
+    field_summaries: dict[str, FieldSummary]
+
+
+@dataclass(frozen=True, slots=True)
+class EnrichmentResult:
+    """Complete dry-run enrichment result."""
+
+    articles: tuple[EnrichedArticle, ...]
+    summary: EnrichmentSummary
+
+
+@dataclass(frozen=True, slots=True)
+class _CollectedValues:
+    valid_values: list[float | str] = field(default_factory=list)
+    invalid_values: list[str] = field(default_factory=list)
+
+
+def enrich_rollcalc_articles_from_erp(
+    rollcalc_path: Path,
+    erp_csv_path: Path,
+) -> EnrichmentResult:
+    """Enrich existing RollCalc articles with selected ERP fields as a dry run.
+
+    The RollCalc file defines the output article set and order. ERP rows without
+    matching RollCalc article number are ignored. Source files are read only.
+    """
+
+    rollcalc_articles = load_rollcalc_articles(Path(rollcalc_path))
+    raw_rollcalc_articles = _load_raw_rollcalc_articles(Path(rollcalc_path))
+    erp_rows_by_article_number = _load_erp_rows_by_article_number(Path(erp_csv_path))
+
+    enriched_articles: list[EnrichedArticle] = []
+    for article, source in zip(rollcalc_articles, raw_rollcalc_articles, strict=True):
+        matching_rows = erp_rows_by_article_number.get(article.nr, [])
+        fields = {
+            rule.output_field: _resolve_field(rule, matching_rows)
+            for rule in ERP_FIELD_RULES
+        }
+        enriched_articles.append(
+            EnrichedArticle(
+                nr=article.nr,
+                name=article.name,
+                source=source,
+                erp_match_count=len(matching_rows),
+                fields=fields,
+                status=_resolve_article_status(len(matching_rows), fields),
+            )
+        )
+
+    articles_tuple = tuple(enriched_articles)
+    return EnrichmentResult(
+        articles=articles_tuple,
+        summary=_build_summary(articles_tuple),
+    )
+
+
+def write_enrichment_outputs(
+    result: EnrichmentResult,
+    json_path: Path,
+    report_path: Path,
+) -> None:
+    """Write deterministic dry-run JSON and CSV report files."""
+
+    json_destination = Path(json_path)
+    report_destination = Path(report_path)
+    json_destination.parent.mkdir(parents=True, exist_ok=True)
+    report_destination.parent.mkdir(parents=True, exist_ok=True)
+
+    output_articles = [article.to_output_dict() for article in result.articles]
+    json_destination.write_text(
+        json.dumps(output_articles, ensure_ascii=False, indent=2) + "\n",
+        encoding="utf-8",
+    )
+    _write_report(result, report_destination)
+
+
+def run_enrichment_dry_run(
+    rollcalc_path: Path,
+    erp_csv_path: Path,
+    *,
+    json_path: Path = DEFAULT_JSON_OUTPUT_PATH,
+    report_path: Path = DEFAULT_REPORT_OUTPUT_PATH,
+) -> EnrichmentResult:
+    """Run the dry-run enrichment and write the standard output artifacts."""
+
+    result = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_csv_path)
+    write_enrichment_outputs(result, json_path, report_path)
+    return result
+
+
+def _load_raw_rollcalc_articles(path: Path) -> list[dict[str, Any]]:
+    payload = json.loads(path.read_text(encoding="utf-8"))
+    return [dict(item) for item in payload]
+
+
+def _load_erp_rows_by_article_number(path: Path) -> dict[str, list[dict[str, str]]]:
+    rows_by_article_number: dict[str, list[dict[str, str]]] = defaultdict(list)
+    with path.open("r", encoding="utf-8-sig", newline="") as csv_file:
+        sample = csv_file.read(4096)
+        csv_file.seek(0)
+        dialect = csv.Sniffer().sniff(sample, delimiters=",;\t")
+        reader = csv.DictReader(csv_file, dialect=dialect)
+        for row in reader:
+            article_number = row.get(ERP_ARTICLE_NUMBER_FIELD, "")
+            if article_number != "":
+                rows_by_article_number[article_number].append(row)
+    return dict(rows_by_article_number)
+
+
+def _resolve_field(rule: ErpFieldRule, matching_rows: list[dict[str, str]]) -> EnrichedField:
+    if not matching_rows:
+        return EnrichedField(value=None, status="no_erp_match")
+
+    collected = _collect_values(rule, matching_rows)
+    if collected.invalid_values:
+        return EnrichedField(value=None, status="invalid")
+    if not collected.valid_values:
+        return EnrichedField(value=None, status="missing")
+
+    unique_values = set(collected.valid_values)
+    if len(unique_values) > 1:
+        return EnrichedField(value=None, status="conflict")
+
+    value = collected.valid_values[0]
+    status: FieldStatus = (
+        "same_value_multiple_rows" if len(collected.valid_values) > 1 else "unique"
+    )
+    return EnrichedField(value=value, status=status)
+
+
+def _collect_values(rule: ErpFieldRule, matching_rows: list[dict[str, str]]) -> _CollectedValues:
+    valid_values: list[float | str] = []
+    invalid_values: list[str] = []
+    for row in matching_rows:
+        raw_value = row.get(rule.erp_field, "")
+        if raw_value == "":
+            continue
+        if rule.numeric:
+            parsed_value = _parse_erp_number(raw_value)
+            if parsed_value is None:
+                invalid_values.append(raw_value)
+            else:
+                valid_values.append(parsed_value)
+        else:
+            valid_values.append(raw_value)
+    return _CollectedValues(valid_values=valid_values, invalid_values=invalid_values)
+
+
+def _parse_erp_number(value: str) -> float | None:
+    normalized = value.strip()
+    if normalized == "":
+        return None
+    if normalized.count(",") + normalized.count(".") > 1:
+        return None
+    normalized = normalized.replace(",", ".")
+    try:
+        return float(normalized)
+    except ValueError:
+        return None
+
+
+def _resolve_article_status(
+    erp_match_count: int,
+    fields: dict[str, EnrichedField],
+) -> ArticleStatus:
+    if erp_match_count == 0:
+        return "no_erp_match"
+    field_statuses = {field.status for field in fields.values()}
+    if "conflict" in field_statuses or "invalid" in field_statuses:
+        return "conflict"
+    if field_statuses <= {"unique", "same_value_multiple_rows"}:
+        return "complete"
+    return "partial"
+
+
+def _build_summary(articles: tuple[EnrichedArticle, ...]) -> EnrichmentSummary:
+    article_status_counts = Counter(article.status for article in articles)
+    field_summaries = {
+        rule.output_field: _build_field_summary(rule.output_field, articles)
+        for rule in ERP_FIELD_RULES
+    }
+    return EnrichmentSummary(
+        rollcalc_article_count=len(articles),
+        with_erp_match_count=sum(1 for article in articles if article.erp_match_count > 0),
+        without_erp_match_count=sum(1 for article in articles if article.erp_match_count == 0),
+        complete_count=article_status_counts["complete"],
+        partial_count=article_status_counts["partial"],
+        conflict_count=article_status_counts["conflict"],
+        field_summaries=field_summaries,
+    )
+
+
+def _build_field_summary(
+    field_name: str,
+    articles: tuple[EnrichedArticle, ...],
+) -> FieldSummary:
+    counts = Counter(article.fields[field_name].status for article in articles)
+    return FieldSummary(
+        field_name=field_name,
+        unique=counts["unique"],
+        same_value_multiple_rows=counts["same_value_multiple_rows"],
+        missing=counts["missing"],
+        conflict=counts["conflict"],
+        invalid=counts["invalid"],
+        no_erp_match=counts["no_erp_match"],
+    )
+
+
+def _write_report(result: EnrichmentResult, report_path: Path) -> None:
+    with report_path.open("w", encoding="utf-8-sig", newline="") as csv_file:
+        writer = csv.DictWriter(csv_file, fieldnames=_report_fieldnames(), delimiter=";")
+        writer.writeheader()
+        for article in result.articles:
+            writer.writerow(_report_row(article))
+
+
+def _report_fieldnames() -> list[str]:
+    return [
+        "nr",
+        "name",
+        "erp_match_count",
+        "status",
+        "product_width_m",
+        "product_width_status",
+        "line_speed_m_min",
+        "line_speed_status",
+        "minimum_production_quantity",
+        "minimum_production_quantity_status",
+        "workplace",
+        "workplace_status",
+    ]
+
+
+def _report_row(article: EnrichedArticle) -> dict[str, str | int]:
+    return {
+        "nr": article.nr,
+        "name": article.name,
+        "erp_match_count": article.erp_match_count,
+        "status": article.status,
+        "product_width_m": _format_report_value(article.fields["product_width_m"].value),
+        "product_width_status": article.fields["product_width_m"].status,
+        "line_speed_m_min": _format_report_value(article.fields["line_speed_m_min"].value),
+        "line_speed_status": article.fields["line_speed_m_min"].status,
+        "minimum_production_quantity": _format_report_value(
+            article.fields["minimum_production_quantity"].value
+        ),
+        "minimum_production_quantity_status": article.fields[
+            "minimum_production_quantity"
+        ].status,
+        "workplace": _format_report_value(article.fields["workplace"].value),
+        "workplace_status": article.fields["workplace"].status,
+    }
+
+
+def _format_report_value(value: float | str | None) -> str:
+    if value is None:
+        return ""
+    return str(value)

src/article_data_manager/tools/__init__.py

@@ -0,0 +1,2 @@
+"""Internal development tools."""
+

src/article_data_manager/tools/erp_explorer.py

@@ -0,0 +1,277 @@
+"""Read-only ERP CSV explorer for data profiling."""
+
+from __future__ import annotations
+
+import csv
+from collections import Counter
+from dataclasses import dataclass
+from pathlib import Path
+
+from article_data_manager.importers.rollcalc_json import load_rollcalc_articles
+
+DEFAULT_ARTICLE_NUMBER_COLUMN = "SL_ITEM_NO"
+DEFAULT_REPORT_PATH = Path("data/reports/erp_profile_report.txt")
+
+
+@dataclass(frozen=True, slots=True)
+class ColumnProfile:
+    """Profile information for one CSV column."""
+
+    name: str
+    filled_count: int
+    empty_count: int
+    distinct_count: int
+    inferred_type: str
+
+
+@dataclass(frozen=True, slots=True)
+class DuplicateArticleNumber:
+    """Repeated ERP article number and its exact occurrence count."""
+
+    nr: str
+    count: int
+
+
+@dataclass(frozen=True, slots=True)
+class ArticleNumberProfile:
+    """Profile information for an ERP article number column."""
+
+    column_name: str
+    distinct_count: int
+    duplicate_count: int
+    duplicates: tuple[DuplicateArticleNumber, ...]
+
+
+@dataclass(frozen=True, slots=True)
+class RollCalcComparison:
+    """Simple ERP/RollCalc article number coverage comparison."""
+
+    rollcalc_article_count: int
+    found_count: int
+    missing_count: int
+    missing_article_numbers: tuple[str, ...]
+
+
+@dataclass(frozen=True, slots=True)
+class ErpProfile:
+    """Complete read-only profile of one ERP CSV export."""
+
+    file_name: str
+    row_count: int
+    column_count: int
+    columns: tuple[ColumnProfile, ...]
+    article_numbers: ArticleNumberProfile
+    rollcalc_comparison: RollCalcComparison | None = None
+
+
+def profile_erp_csv(
+    csv_path: Path,
+    *,
+    article_number_column: str = DEFAULT_ARTICLE_NUMBER_COLUMN,
+    rollcalc_path: Path | None = None,
+) -> ErpProfile:
+    """Profile an ERP CSV export without interpreting or changing its source data."""
+
+    source_path = Path(csv_path)
+    rows, fieldnames = _read_csv(source_path)
+    column_profiles = tuple(
+        _profile_column(name, [row.get(name, "") for row in rows]) for name in fieldnames
+    )
+    article_number_profile = _profile_article_numbers(rows, article_number_column)
+    erp_article_numbers = {row.get(article_number_column, "") for row in rows}
+    comparison = (
+        _compare_rollcalc_articles(rollcalc_path, erp_article_numbers)
+        if rollcalc_path is not None
+        else None
+    )
+    return ErpProfile(
+        file_name=source_path.name,
+        row_count=len(rows),
+        column_count=len(fieldnames),
+        columns=column_profiles,
+        article_numbers=article_number_profile,
+        rollcalc_comparison=comparison,
+    )
+
+
+def write_erp_profile_report(
+    csv_path: Path,
+    *,
+    report_path: Path = DEFAULT_REPORT_PATH,
+    article_number_column: str = DEFAULT_ARTICLE_NUMBER_COLUMN,
+    rollcalc_path: Path | None = None,
+) -> ErpProfile:
+    """Create a text profile report under the requested report path.
+
+    The ERP CSV and optional RollCalc JSON are read only. The only write performed
+    by this function is the requested text report.
+    """
+
+    profile = profile_erp_csv(
+        csv_path,
+        article_number_column=article_number_column,
+        rollcalc_path=rollcalc_path,
+    )
+    destination = Path(report_path)
+    destination.parent.mkdir(parents=True, exist_ok=True)
+    destination.write_text(render_erp_profile_report(profile), encoding="utf-8")
+    return profile
+
+
+def render_erp_profile_report(profile: ErpProfile) -> str:
+    """Render an ERP profile as deterministic plain text."""
+
+    lines = [
+        "ERP Profile Report",
+        f"File: {profile.file_name}",
+        f"Rows: {profile.row_count}",
+        f"Columns: {profile.column_count}",
+        "",
+        "Column profiles",
+    ]
+    for column in profile.columns:
+        lines.extend(
+            [
+                f"Column: {column.name}",
+                f"Filled: {column.filled_count}",
+                f"Empty: {column.empty_count}",
+                f"Distinct: {column.distinct_count}",
+                f"Type: {column.inferred_type}",
+                "",
+            ]
+        )
+
+    lines.extend(
+        [
+            "Article numbers",
+            f"Column: {profile.article_numbers.column_name}",
+            f"Distinct: {profile.article_numbers.distinct_count}",
+            f"Duplicates: {profile.article_numbers.duplicate_count}",
+            "",
+            "Duplicate article numbers",
+        ]
+    )
+    for duplicate in profile.article_numbers.duplicates:
+        lines.append(f"{duplicate.nr}\t{duplicate.count}")
+
+    if profile.rollcalc_comparison is not None:
+        comparison = profile.rollcalc_comparison
+        lines.extend(
+            [
+                "",
+                "RollCalc comparison",
+                f"RollCalc articles: {comparison.rollcalc_article_count}",
+                f"Found: {comparison.found_count}",
+                f"Missing: {comparison.missing_count}",
+                "Missing article numbers",
+            ]
+        )
+        lines.extend(comparison.missing_article_numbers)
+
+    return "\n".join(lines) + "\n"
+
+
+def _read_csv(path: Path) -> tuple[list[dict[str, str]], list[str]]:
+    with path.open("r", encoding="utf-8-sig", newline="") as csv_file:
+        sample = csv_file.read(4096)
+        csv_file.seek(0)
+        dialect = csv.Sniffer().sniff(sample, delimiters=",;\t")
+        reader = csv.DictReader(csv_file, dialect=dialect)
+        fieldnames = list(reader.fieldnames or [])
+        return list(reader), fieldnames
+
+
+def _profile_column(name: str, values: list[str]) -> ColumnProfile:
+    filled_values = [value for value in values if not _is_empty(value)]
+    empty_count = len(values) - len(filled_values)
+    return ColumnProfile(
+        name=name,
+        filled_count=len(filled_values),
+        empty_count=empty_count,
+        distinct_count=len(set(filled_values)),
+        inferred_type=infer_value_type(filled_values),
+    )
+
+
+def infer_value_type(values: list[str]) -> str:
+    """Infer a simple data type for already-filled CSV values."""
+
+    if not values:
+        return "empty"
+
+    value_types = {_infer_single_value_type(value) for value in values}
+    if value_types == {"integer"}:
+        return "integer"
+    if value_types <= {"integer", "decimal"}:
+        return "decimal"
+    if value_types == {"text"}:
+        return "text"
+    return "mixed"
+
+
+def _infer_single_value_type(value: str) -> str:
+    normalized = value.strip()
+    if _is_integer(normalized):
+        return "integer"
+    if _is_decimal(normalized):
+        return "decimal"
+    return "text"
+
+
+def _is_integer(value: str) -> bool:
+    if value.startswith(("+", "-")):
+        value = value[1:]
+    return value.isdecimal()
+
+
+def _is_decimal(value: str) -> bool:
+    if value.count(",") + value.count(".") != 1:
+        return False
+    separator = "," if "," in value else "."
+    left, right = value.split(separator, 1)
+    if left.startswith(("+", "-")):
+        left = left[1:]
+    return left.isdecimal() and right.isdecimal()
+
+
+def _profile_article_numbers(
+    rows: list[dict[str, str]],
+    article_number_column: str,
+) -> ArticleNumberProfile:
+    values = []
+    for row in rows:
+        value = row.get(article_number_column, "")
+        if not _is_empty(value):
+            values.append(value)
+
+    counts = Counter(values)
+    duplicates = tuple(
+        DuplicateArticleNumber(nr=nr, count=count)
+        for nr, count in sorted(counts.items())
+        if count > 1
+    )
+    return ArticleNumberProfile(
+        column_name=article_number_column,
+        distinct_count=len(counts),
+        duplicate_count=len(duplicates),
+        duplicates=duplicates,
+    )
+
+
+def _compare_rollcalc_articles(
+    rollcalc_path: Path,
+    erp_article_numbers: set[str],
+) -> RollCalcComparison:
+    rollcalc_articles = load_rollcalc_articles(Path(rollcalc_path))
+    rollcalc_numbers = tuple(article.nr for article in rollcalc_articles)
+    missing_article_numbers = tuple(nr for nr in rollcalc_numbers if nr not in erp_article_numbers)
+    return RollCalcComparison(
+        rollcalc_article_count=len(rollcalc_numbers),
+        found_count=len(rollcalc_numbers) - len(missing_article_numbers),
+        missing_count=len(missing_article_numbers),
+        missing_article_numbers=missing_article_numbers,
+    )
+
+
+def _is_empty(value: str | None) -> bool:
+    return value is None or value == ""

tests/integration/test_erp_enrichment_dry_run.py

@@ -0,0 +1,77 @@
+import csv
+import json
+from pathlib import Path
+
+from article_data_manager.enrichment.erp import (
+    enrich_rollcalc_articles_from_erp,
+    write_enrichment_outputs,
+)
+
+
+def test_enrichment_dry_run_writes_json_and_csv_outputs(tmp_path: Path) -> None:
+    rollcalc_path = tmp_path / "article-data.json"
+    erp_path = tmp_path / "erp.csv"
+    json_path = tmp_path / "generated" / "article-data.erp-enriched-dry-run.json"
+    report_path = tmp_path / "reports" / "erp-enrichment-report.csv"
+
+    rollcalc_path.write_text(
+        json.dumps(
+            [
+                {
+                    "nr": "214700",
+                    "name": "RollCalc A",
+                    "thickness": 6.722,
+                    "area_weight": 750.0,
+                    "core_type": 0.0,
+                },
+                {
+                    "nr": "999999",
+                    "name": "RollCalc Only",
+                    "thickness": 1.0,
+                    "area_weight": 0.0,
+                    "core_type": 0.0,
+                },
+            ],
+            ensure_ascii=False,
+            indent=2,
+        )
+        + "\n",
+        encoding="utf-8",
+    )
+    erp_path.write_text(
+        "\n".join(
+            [
+                "SL_ITEM_NO,ROP_PRODUCT_WIDTH,ROP_RATE_OF_PRODUCTION,"
+                "SL_MINIMUM_PRODUCTION_QUANTITY,WPL_WORKPLACE_TEXT,kg_qm,SL_PRODUCTION_SPEED",
+                "214700,\"6,00\",\"18,5\",5000,Anlage 3,999,999",
+                "ERPONLY,9.99,1.0,1,Anlage X,1,1",
+            ]
+        ),
+        encoding="utf-8",
+    )
+
+    result = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path)
+    write_enrichment_outputs(result, json_path, report_path)
+
+    output_articles = json.loads(json_path.read_text(encoding="utf-8"))
+    assert [article["nr"] for article in output_articles] == ["214700", "999999"]
+    assert output_articles[0]["area_weight"] == 750.0
+    assert output_articles[0]["erp"] == {
+        "product_width_m": 6.0,
+        "line_speed_m_min": 18.5,
+        "minimum_production_quantity": 5000.0,
+        "workplace": "Anlage 3",
+    }
+    assert output_articles[1]["erp"] == {
+        "product_width_m": None,
+        "line_speed_m_min": None,
+        "minimum_production_quantity": None,
+        "workplace": None,
+    }
+
+    with report_path.open("r", encoding="utf-8-sig", newline="") as report_file:
+        rows = list(csv.DictReader(report_file, delimiter=";"))
+
+    assert [row["nr"] for row in rows] == ["214700", "999999"]
+    assert rows[0]["status"] == "complete"
+    assert rows[1]["status"] == "no_erp_match"

tests/unit/enrichment/test_erp_enrichment.py

@@ -0,0 +1,387 @@
+import csv
+import json
+from pathlib import Path
+
+from article_data_manager.enrichment.erp import (
+    enrich_rollcalc_articles_from_erp,
+    write_enrichment_outputs,
+)
+
+
+def write_rollcalc(path: Path, article_numbers: list[str]) -> Path:
+    payload = [
+        {
+            "nr": nr,
+            "name": f"RollCalc {nr}",
+            "thickness": float(index + 1),
+            "area_weight": 100.0 + index,
+            "core_type": 0.0,
+        }
+        for index, nr in enumerate(article_numbers)
+    ]
+    path.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
+    return path
+
+
+def write_erp(path: Path, rows: list[dict[str, str]]) -> Path:
+    fieldnames = [
+        "SL_ITEM_NO",
+        "ROP_PRODUCT_WIDTH",
+        "ROP_RATE_OF_PRODUCTION",
+        "SL_MINIMUM_PRODUCTION_QUANTITY",
+        "WPL_WORKPLACE_TEXT",
+        "SL_PRODUCTION_SPEED",
+        "kg_qm",
+    ]
+    with path.open("w", encoding="utf-8", newline="") as csv_file:
+        writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
+        writer.writeheader()
+        for row in rows:
+            writer.writerow({field: row.get(field, "") for field in fieldnames})
+    return path
+
+
+def test_unique_erp_match_enriches_selected_fields(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {
+                "SL_ITEM_NO": "214700",
+                "ROP_PRODUCT_WIDTH": "6,00",
+                "ROP_RATE_OF_PRODUCTION": "18.5",
+                "SL_MINIMUM_PRODUCTION_QUANTITY": "5000",
+                "WPL_WORKPLACE_TEXT": "Anlage 3",
+            }
+        ],
+    )
+
+    article = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0]
+
+    assert article.status == "complete"
+    assert article.to_output_dict()["erp"] == {
+        "product_width_m": 6.0,
+        "line_speed_m_min": 18.5,
+        "minimum_production_quantity": 5000.0,
+        "workplace": "Anlage 3",
+    }
+
+
+def test_no_erp_match_keeps_rollcalc_article_with_null_erp_object(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["999999"])
+    erp_path = write_erp(tmp_path / "erp.csv", [{"SL_ITEM_NO": "214700"}])
+
+    article = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0]
+
+    assert article.status == "no_erp_match"
+    assert article.erp_match_count == 0
+    assert article.to_output_dict()["erp"] == {
+        "product_width_m": None,
+        "line_speed_m_min": None,
+        "minimum_production_quantity": None,
+        "workplace": None,
+    }
+    assert {field.status for field in article.fields.values()} == {"no_erp_match"}
+
+
+def test_multiple_erp_rows_with_identical_width_are_collapsed(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "214700", "ROP_PRODUCT_WIDTH": "6,00"},
+            {"SL_ITEM_NO": "214700", "ROP_PRODUCT_WIDTH": "6.00"},
+        ],
+    )
+
+    field = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0].fields[
+        "product_width_m"
+    ]
+
+    assert field.value == 6.0
+    assert field.status == "same_value_multiple_rows"
+
+
+def test_conflicting_width_is_reported_as_null_field(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "214700", "ROP_PRODUCT_WIDTH": "6,00"},
+            {"SL_ITEM_NO": "214700", "ROP_PRODUCT_WIDTH": "6.10"},
+        ],
+    )
+
+    article = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0]
+
+    assert article.status == "conflict"
+    assert article.fields["product_width_m"].value is None
+    assert article.fields["product_width_m"].status == "conflict"
+
+
+def test_identical_line_speeds_in_multiple_rows_are_collapsed(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "214700", "ROP_RATE_OF_PRODUCTION": "18,5"},
+            {"SL_ITEM_NO": "214700", "ROP_RATE_OF_PRODUCTION": "18.50"},
+        ],
+    )
+
+    field = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0].fields[
+        "line_speed_m_min"
+    ]
+
+    assert field.value == 18.5
+    assert field.status == "same_value_multiple_rows"
+
+
+def test_conflicting_line_speeds_are_reported(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "214700", "ROP_RATE_OF_PRODUCTION": "18,5"},
+            {"SL_ITEM_NO": "214700", "ROP_RATE_OF_PRODUCTION": "19,0"},
+        ],
+    )
+
+    article = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0]
+
+    assert article.status == "conflict"
+    assert article.fields["line_speed_m_min"].status == "conflict"
+
+
+def test_missing_minimum_production_quantity_is_reported(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(tmp_path / "erp.csv", [{"SL_ITEM_NO": "214700"}])
+
+    field = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0].fields[
+        "minimum_production_quantity"
+    ]
+
+    assert field.value is None
+    assert field.status == "missing"
+
+
+def test_identical_workplaces_in_multiple_rows_are_collapsed(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "214700", "WPL_WORKPLACE_TEXT": "Anlage 3"},
+            {"SL_ITEM_NO": "214700", "WPL_WORKPLACE_TEXT": "Anlage 3"},
+        ],
+    )
+
+    field = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0].fields[
+        "workplace"
+    ]
+
+    assert field.value == "Anlage 3"
+    assert field.status == "same_value_multiple_rows"
+
+
+def test_different_workplaces_are_reported_as_conflict(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "214700", "WPL_WORKPLACE_TEXT": "Anlage 3"},
+            {"SL_ITEM_NO": "214700", "WPL_WORKPLACE_TEXT": "Anlage 4"},
+        ],
+    )
+
+    field = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0].fields[
+        "workplace"
+    ]
+
+    assert field.value is None
+    assert field.status == "conflict"
+
+
+def test_decimal_values_with_comma_and_point_are_supported(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700", "000123"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "214700", "ROP_PRODUCT_WIDTH": "6,00"},
+            {"SL_ITEM_NO": "000123", "ROP_PRODUCT_WIDTH": "1.20"},
+        ],
+    )
+
+    articles = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles
+
+    assert articles[0].fields["product_width_m"].value == 6.0
+    assert articles[1].fields["product_width_m"].value == 1.2
+
+
+def test_invalid_numeric_value_sets_field_to_null(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [{"SL_ITEM_NO": "214700", "ROP_PRODUCT_WIDTH": "not-a-number"}],
+    )
+
+    article = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0]
+
+    assert article.status == "conflict"
+    assert article.fields["product_width_m"].value is None
+    assert article.fields["product_width_m"].status == "invalid"
+
+
+def test_empty_erp_fields_do_not_create_conflicts(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "214700", "ROP_PRODUCT_WIDTH": ""},
+            {"SL_ITEM_NO": "214700", "ROP_PRODUCT_WIDTH": "6.00"},
+        ],
+    )
+
+    field = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0].fields[
+        "product_width_m"
+    ]
+
+    assert field.value == 6.0
+    assert field.status == "unique"
+
+
+def test_leading_zero_article_number_matches_exactly(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["000123"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [{"SL_ITEM_NO": "000123", "ROP_PRODUCT_WIDTH": "1.20"}],
+    )
+
+    article = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0]
+
+    assert article.nr == "000123"
+    assert article.fields["product_width_m"].value == 1.2
+
+
+def test_erp_article_without_rollcalc_match_is_not_output(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "214700", "ROP_PRODUCT_WIDTH": "6.00"},
+            {"SL_ITEM_NO": "ERPONLY", "ROP_PRODUCT_WIDTH": "9.99"},
+        ],
+    )
+
+    result = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path)
+
+    assert [article.nr for article in result.articles] == ["214700"]
+
+
+def test_rollcalc_order_is_preserved(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["300", "100", "200"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {"SL_ITEM_NO": "100"},
+            {"SL_ITEM_NO": "200"},
+            {"SL_ITEM_NO": "300"},
+        ],
+    )
+
+    result = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path)
+
+    assert [article.nr for article in result.articles] == ["300", "100", "200"]
+
+
+def test_existing_area_weight_remains_unchanged_and_erp_weight_fields_are_ignored(
+    tmp_path: Path,
+) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {
+                "SL_ITEM_NO": "214700",
+                "kg_qm": "999",
+                "SL_PRODUCTION_SPEED": "999",
+                "ROP_PRODUCT_WIDTH": "6.00",
+            }
+        ],
+    )
+
+    output = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).articles[0].to_output_dict()
+
+    assert output["area_weight"] == 100.0
+    assert "kg_qm" not in output["erp"]
+    assert "SL_PRODUCTION_SPEED" not in output["erp"]
+
+
+def test_source_files_remain_unchanged(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(tmp_path / "erp.csv", [{"SL_ITEM_NO": "214700"}])
+    original_rollcalc = rollcalc_path.read_bytes()
+    original_erp = erp_path.read_bytes()
+
+    result = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path)
+    write_enrichment_outputs(result, tmp_path / "generated.json", tmp_path / "report.csv")
+
+    assert rollcalc_path.read_bytes() == original_rollcalc
+    assert erp_path.read_bytes() == original_erp
+
+
+def test_json_output_is_deterministic(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(tmp_path / "erp.csv", [{"SL_ITEM_NO": "214700"}])
+    result = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path)
+    first_json = tmp_path / "first.json"
+    second_json = tmp_path / "second.json"
+
+    write_enrichment_outputs(result, first_json, tmp_path / "first.csv")
+    write_enrichment_outputs(result, second_json, tmp_path / "second.csv")
+
+    assert first_json.read_text(encoding="utf-8") == second_json.read_text(encoding="utf-8")
+
+
+def test_csv_report_is_deterministic_and_contains_statuses(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["214700"])
+    erp_path = write_erp(tmp_path / "erp.csv", [{"SL_ITEM_NO": "214700"}])
+    result = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path)
+    first_report = tmp_path / "first.csv"
+    second_report = tmp_path / "second.csv"
+
+    write_enrichment_outputs(result, tmp_path / "first.json", first_report)
+    write_enrichment_outputs(result, tmp_path / "second.json", second_report)
+
+    first_content = first_report.read_text(encoding="utf-8-sig")
+    assert first_content == second_report.read_text(encoding="utf-8-sig")
+    assert "nr;name;erp_match_count;status" in first_content
+    assert "missing" in first_content
+
+
+def test_summary_counts_articles_and_field_statuses(tmp_path: Path) -> None:
+    rollcalc_path = write_rollcalc(tmp_path / "article-data.json", ["A", "B", "C"])
+    erp_path = write_erp(
+        tmp_path / "erp.csv",
+        [
+            {
+                "SL_ITEM_NO": "A",
+                "ROP_PRODUCT_WIDTH": "1.0",
+                "ROP_RATE_OF_PRODUCTION": "2.0",
+                "SL_MINIMUM_PRODUCTION_QUANTITY": "3",
+                "WPL_WORKPLACE_TEXT": "Anlage",
+            },
+            {"SL_ITEM_NO": "B", "ROP_PRODUCT_WIDTH": "bad"},
+        ],
+    )
+
+    summary = enrich_rollcalc_articles_from_erp(rollcalc_path, erp_path).summary
+
+    assert summary.rollcalc_article_count == 3
+    assert summary.with_erp_match_count == 2
+    assert summary.without_erp_match_count == 1
+    assert summary.complete_count == 1
+    assert summary.partial_count == 0
+    assert summary.conflict_count == 1
+    assert summary.field_summaries["product_width_m"].unique == 1
+    assert summary.field_summaries["product_width_m"].invalid == 1
+    assert summary.field_summaries["product_width_m"].no_erp_match == 1

tests/unit/tools/test_erp_explorer.py

@@ -0,0 +1,152 @@
+import json
+from pathlib import Path
+
+from article_data_manager.tools.erp_explorer import (
+    infer_value_type,
+    profile_erp_csv,
+    render_erp_profile_report,
+    write_erp_profile_report,
+)
+
+
+def write_text(path: Path, content: str) -> Path:
+    path.write_text(content, encoding="utf-8")
+    return path
+
+
+def write_rollcalc_json(path: Path, article_numbers: list[str]) -> Path:
+    payload = [
+        {
+            "nr": nr,
+            "name": f"Article {nr}",
+            "thickness": 1.0,
+            "area_weight": 0.0,
+            "core_type": 0.0,
+        }
+        for nr in article_numbers
+    ]
+    path.write_text(json.dumps(payload), encoding="utf-8")
+    return path
+
+
+def test_profiles_columns(tmp_path: Path) -> None:
+    csv_path = write_text(
+        tmp_path / "erp.csv",
+        "\n".join(
+            [
+                "SL_ITEM_NO,ROP_PRODUCT_WIDTH,COMMENT,EMPTY_COLUMN",
+                "214700,\"6,00\",Alpha,",
+                "000123,1.20,Beta,",
+                "777777,,Alpha,",
+            ]
+        ),
+    )
+
+    profile = profile_erp_csv(csv_path)
+
+    assert profile.file_name == "erp.csv"
+    assert profile.row_count == 3
+    assert profile.column_count == 4
+    columns = {column.name: column for column in profile.columns}
+    assert columns["ROP_PRODUCT_WIDTH"].filled_count == 2
+    assert columns["ROP_PRODUCT_WIDTH"].empty_count == 1
+    assert columns["ROP_PRODUCT_WIDTH"].distinct_count == 2
+    assert columns["ROP_PRODUCT_WIDTH"].inferred_type == "decimal"
+    assert columns["COMMENT"].distinct_count == 2
+    assert columns["COMMENT"].inferred_type == "text"
+    assert columns["EMPTY_COLUMN"].inferred_type == "empty"
+
+
+def test_infers_value_types() -> None:
+    assert infer_value_type([]) == "empty"
+    assert infer_value_type(["1", "002", "-3"]) == "integer"
+    assert infer_value_type(["1", "2.5", "3,75"]) == "decimal"
+    assert infer_value_type(["Alpha", "Beta"]) == "text"
+    assert infer_value_type(["1", "Alpha"]) == "mixed"
+
+
+def test_detects_duplicate_article_numbers(tmp_path: Path) -> None:
+    csv_path = write_text(
+        tmp_path / "erp.csv",
+        "\n".join(
+            [
+                "SL_ITEM_NO,NAME",
+                "00001,A",
+                "1,B",
+                "00001,C",
+                "214700,D",
+                "214700,E",
+            ]
+        ),
+    )
+
+    article_numbers = profile_erp_csv(csv_path).article_numbers
+
+    assert article_numbers.distinct_count == 3
+    assert article_numbers.duplicate_count == 2
+    assert [(duplicate.nr, duplicate.count) for duplicate in article_numbers.duplicates] == [
+        ("00001", 2),
+        ("214700", 2),
+    ]
+
+
+def test_compares_rollcalc_articles_when_path_is_provided(tmp_path: Path) -> None:
+    csv_path = write_text(
+        tmp_path / "erp.csv",
+        "\n".join(
+            [
+                "SL_ITEM_NO,NAME",
+                "214700,A",
+                "000123,B",
+            ]
+        ),
+    )
+    rollcalc_path = write_rollcalc_json(tmp_path / "article-data.json", ["214700", "999999"])
+
+    comparison = profile_erp_csv(csv_path, rollcalc_path=rollcalc_path).rollcalc_comparison
+
+    assert comparison is not None
+    assert comparison.rollcalc_article_count == 2
+    assert comparison.found_count == 1
+    assert comparison.missing_count == 1
+    assert comparison.missing_article_numbers == ("999999",)
+
+
+def test_rollcalc_comparison_is_optional(tmp_path: Path) -> None:
+    csv_path = write_text(
+        tmp_path / "erp.csv",
+        "\n".join(
+            [
+                "SL_ITEM_NO,NAME",
+                "214700,A",
+            ]
+        ),
+    )
+
+    assert profile_erp_csv(csv_path).rollcalc_comparison is None
+
+
+def test_renders_and_writes_report(tmp_path: Path) -> None:
+    csv_path = write_text(
+        tmp_path / "erp.csv",
+        "\n".join(
+            [
+                "SL_ITEM_NO,ROP_PRODUCT_WIDTH",
+                "214700,\"6,00\"",
+                "214700,\"6,00\"",
+            ]
+        ),
+    )
+    report_path = tmp_path / "reports" / "erp_profile_report.txt"
+
+    profile = write_erp_profile_report(csv_path, report_path=report_path)
+    report = report_path.read_text(encoding="utf-8")
+
+    assert report == render_erp_profile_report(profile)
+    assert "ERP Profile Report" in report
+    assert "File: erp.csv" in report
+    assert "Rows: 2" in report
+    assert "Columns: 2" in report
+    assert "Column: ROP_PRODUCT_WIDTH" in report
+    assert "Duplicate article numbers" in report
+    assert "214700\t2" in report