Colin Maudry
68f615370f
Ajoute une représentation canonique du filtre sous forme d'AST booléen (Condition/And/Or/Not) et son compilateur vers SQL DuckDB paramétré (ast_to_sql). Réutilise tokenize_text_filter pour les feuilles texte. Fondation pour la migration /tableau vers dash-ag-grid : cet AST sera alimenté par le filterModel d'AG Grid (tâche suivante) et, plus tard, par un champ de requête booléenne libre (#97).
107 lines
2.8 KiB
Python
107 lines
2.8 KiB
Python
import polars as pl
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from src.utils.query_ast import And, Condition, Not, Or, ast_to_sql
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SCHEMA = pl.Schema(
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{
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"acheteur_nom": pl.String,
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"objet": pl.String,
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"montant": pl.Float64,
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"dureeMois": pl.Int64,
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"dateNotification": pl.Date,
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}
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)
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def _run(node):
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"""Compile et retourne (sql, params)."""
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return ast_to_sql(node, SCHEMA)
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def test_none_is_true():
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assert _run(None) == ("TRUE", [])
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def test_empty_and_is_true():
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assert _run(And([])) == ("TRUE", [])
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def test_text_contains_uses_ilike_and_params():
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sql, params = _run(Condition("objet", "contains", "voirie"))
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assert "ILIKE ?" in sql
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assert params == ["%voirie%"]
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def test_text_contains_multiword_is_and():
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sql, params = _run(Condition("objet", "contains", "metropole rennes"))
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assert sql.count("ILIKE ?") == 2
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assert params == ["%metropole%", "%rennes%"]
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def test_text_contains_wildcard_and_phrase():
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_, params = _run(Condition("objet", "contains", "distri* metropole+rennes"))
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assert params == ["distri%", "%metropole rennes%"]
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def test_text_notcontains_negates():
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sql, params = _run(Condition("objet", "notContains", "construction"))
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assert "NOT (" in sql
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assert params == ["%construction%"]
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def test_numeric_gt():
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sql, params = _run(Condition("montant", "gt", 40000))
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assert '"montant" > ?' in sql
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assert params == [40000.0]
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def test_numeric_eq_int_column():
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sql, params = _run(Condition("dureeMois", "eq", "12"))
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assert '"dureeMois" = ?' in sql
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assert params == [12]
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def test_numeric_range():
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sql, params = _run(Condition("montant", "range", 100, 200))
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assert params == [100.0, 200.0]
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assert "BETWEEN" in sql or ("> ?" in sql and "< ?" in sql)
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def test_numeric_invalid_value_is_true():
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# valeur non numérique -> condition neutralisée (TRUE), pas d'exception
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assert _run(Condition("montant", "gt", "abc")) == ("TRUE", [])
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def test_date_gt_casts_varchar():
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sql, params = _run(Condition("dateNotification", "gt", "2022"))
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assert "VARCHAR" in sql
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assert params == ["2022"]
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def test_blank_and_notblank():
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sql_b, _ = _run(Condition("objet", "blank"))
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assert "IS NULL" in sql_b
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sql_nb, _ = _run(Condition("objet", "notBlank"))
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assert "IS NOT NULL" in sql_nb
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def test_unknown_column_is_true():
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assert _run(Condition("colonne_inexistante", "contains", "x")) == ("TRUE", [])
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def test_and_or_not_grouping():
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node = And(
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[
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Or(
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[
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Condition("objet", "contains", "beton"),
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Condition("objet", "contains", "ciment"),
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]
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),
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Not(Condition("objet", "contains", "demolition")),
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]
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)
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sql, params = _run(node)
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assert " OR " in sql and " AND " in sql and "NOT (" in sql
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assert params == ["%beton%", "%ciment%", "%demolition%"]
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