Lars
c10da55ec6
- Added a new endpoint for analyzing uploaded CSV files, providing suggestions for field mappings and type conversions. - Implemented validation for required field targets to ensure all mandatory fields are mapped correctly. - Enhanced the admin CSV templates interface with new routes and navigation options in the frontend. - Updated API utility functions to support the new CSV analysis functionality. - Improved error handling for CSV uploads, including file size and row count checks.
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
"""Tests für CSV mapping_suggest (Issue #21)."""
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from csv_parser.mapping_suggest import (
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build_type_conversions_for_mapping,
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suggest_field_mappings,
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)
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def test_suggest_from_fddb_seed():
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headers = ["Datum Tag Monat Jahr Stunde Minute", "kJ", "Fett (g)", "KH (g)", "Protein (g)"]
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seed = {
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"datum_tag_monat_jahr_stunde_minute": "date",
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"kj": "kcal",
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"fett_g": "fat_g",
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"kh_g": "carbs_g",
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"protein_g": "protein_g",
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}
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fm = suggest_field_mappings(headers, "nutrition", seed)
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assert fm["Datum Tag Monat Jahr Stunde Minute"] == "date"
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assert fm["kJ"] == "kcal"
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def test_suggest_aliases_without_seed():
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fm = suggest_field_mappings(
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["Date", "Calories", "Protein (g)", "Fat (g)", "Carbs"],
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"nutrition",
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None,
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)
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assert fm["Date"] == "date"
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assert fm["Calories"] == "kcal"
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assert fm["Protein (g)"] == "protein_g"
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def test_type_conversions_merge():
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fm = {"Col A": "date", "Col B": "kcal"}
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seed_tc = {
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"kcal": {"type": "float", "conversion_factor": 0.239, "decimal_separator": "auto"},
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}
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tc = build_type_conversions_for_mapping("nutrition", fm, seed_tc)
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assert "kcal" in tc
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assert tc["kcal"].get("conversion_factor") == 0.239
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assert "date" in tc
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