Initial implementation of generic Excel-to-DB import tool

Supports .xls and .xlsx, Oracle and PostgreSQL via SQLAlchemy.
Includes CLI (run/inspect/generate-config), YAML config, auto schema
detection, and append/replace/upsert modes.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tests/test_reader.py

@@ -0,0 +1,84 @@
+import io
+from pathlib import Path
+import pandas as pd
+import pytest
+
+from excel_import.reader import ExcelReader
+from excel_import.config import SheetConfig
+
+
+@pytest.fixture
+def xlsx_file(tmp_path: Path) -> Path:
+    path = tmp_path / "test.xlsx"
+    df = pd.DataFrame({
+        "Artikelnummer": ["A001", "A002", "A003"],
+        "Bezeichnung": ["Widget", "Gadget", None],
+        "Preis": [9.99, 14.50, 0.99],
+    })
+    df.to_excel(path, index=False)
+    return path
+
+
+def test_sheet_names(xlsx_file: Path):
+    reader = ExcelReader(xlsx_file)
+    assert reader.sheet_names() == ["Sheet1"]
+
+
+def test_read_basic(xlsx_file: Path):
+    reader = ExcelReader(xlsx_file)
+    df = reader.read(SheetConfig(sheet=0, target_table="t"))
+    assert len(df) == 3
+    assert list(df.columns) == ["Artikelnummer", "Bezeichnung", "Preis"]
+
+
+def test_read_drops_empty_rows(tmp_path: Path):
+    path = tmp_path / "empty_rows.xlsx"
+    df = pd.DataFrame({"A": ["x", None, "y"], "B": [1, None, 3]})
+    df.to_excel(path, index=False)
+
+    reader = ExcelReader(path)
+    result = reader.read(SheetConfig(sheet=0, target_table="t"))
+    assert len(result) == 2
+
+
+def test_read_column_rename(xlsx_file: Path):
+    from excel_import.config import ColumnMapping
+    cfg = SheetConfig(
+        sheet=0,
+        target_table="t",
+        columns=[
+            ColumnMapping(source="Artikelnummer", target="art_nr"),
+            ColumnMapping(source="Bezeichnung", target="bez"),
+            ColumnMapping(source="Preis", target="preis"),
+        ],
+    )
+    reader = ExcelReader(xlsx_file)
+    df = reader.read(cfg)
+    assert "art_nr" in df.columns
+    assert "Artikelnummer" not in df.columns
+
+
+def test_read_column_skip(xlsx_file: Path):
+    from excel_import.config import ColumnMapping
+    cfg = SheetConfig(
+        sheet=0,
+        target_table="t",
+        columns=[
+            ColumnMapping(source="Preis", target="Preis", skip=True),
+        ],
+    )
+    reader = ExcelReader(xlsx_file)
+    df = reader.read(cfg)
+    assert "Preis" not in df.columns
+
+
+def test_file_not_found():
+    with pytest.raises(FileNotFoundError):
+        ExcelReader("/nonexistent/path/file.xlsx")
+
+
+def test_unsupported_extension(tmp_path: Path):
+    f = tmp_path / "data.csv"
+    f.write_text("a,b\n1,2")
+    with pytest.raises(ValueError, match="Unsupported"):
+        ExcelReader(f)