Files
colibre/tests/test_query_ast.py
T
Colin Maudry 979874760d fix(query): range sur colonnes non-numériques + blank/notBlank sur numérique/date (#41)
- `range` était ignoré silencieusement (TRUE, pas de filtre) sur les
  colonnes texte/date car seul `_numeric_to_sql` le gérait. Ajout du
  cas `range` dans la branche texte/date (BETWEEN, CAST VARCHAR pour
  les dates, comme les autres opérateurs de comparaison).
- `blank`/`notBlank` comparaient toujours à `''`, ce qui fait planter
  DuckDB (Conversion Error) sur les colonnes numériques/date. Le
  check est déplacé après le calcul de is_numeric/col_is_date : ces
  types utilisent IS [NOT] NULL sans comparaison à chaîne vide.
2026-07-10 07:49:43 +02:00

133 lines
3.6 KiB
Python

import polars as pl
from src.utils.query_ast import And, Condition, Not, Or, ast_to_sql
SCHEMA = pl.Schema(
{
"acheteur_nom": pl.String,
"objet": pl.String,
"montant": pl.Float64,
"dureeMois": pl.Int64,
"dateNotification": pl.Date,
}
)
def _run(node):
"""Compile et retourne (sql, params)."""
return ast_to_sql(node, SCHEMA)
def test_none_is_true():
assert _run(None) == ("TRUE", [])
def test_empty_and_is_true():
assert _run(And([])) == ("TRUE", [])
def test_text_contains_uses_ilike_and_params():
sql, params = _run(Condition("objet", "contains", "voirie"))
assert "ILIKE ?" in sql
assert params == ["%voirie%"]
def test_text_contains_multiword_is_and():
sql, params = _run(Condition("objet", "contains", "metropole rennes"))
assert sql.count("ILIKE ?") == 2
assert params == ["%metropole%", "%rennes%"]
def test_text_contains_wildcard_and_phrase():
_, params = _run(Condition("objet", "contains", "distri* metropole+rennes"))
assert params == ["distri%", "%metropole rennes%"]
def test_text_notcontains_negates():
sql, params = _run(Condition("objet", "notContains", "construction"))
assert "NOT (" in sql
assert params == ["%construction%"]
def test_numeric_gt():
sql, params = _run(Condition("montant", "gt", 40000))
assert '"montant" > ?' in sql
assert params == [40000.0]
def test_numeric_eq_int_column():
sql, params = _run(Condition("dureeMois", "eq", "12"))
assert '"dureeMois" = ?' in sql
assert params == [12]
def test_numeric_range():
sql, params = _run(Condition("montant", "range", 100, 200))
assert params == [100.0, 200.0]
assert "BETWEEN" in sql or ("> ?" in sql and "< ?" in sql)
def test_numeric_invalid_value_is_true():
# valeur non numérique -> condition neutralisée (TRUE), pas d'exception
assert _run(Condition("montant", "gt", "abc")) == ("TRUE", [])
def test_date_gt_casts_varchar():
sql, params = _run(Condition("dateNotification", "gt", "2022"))
assert "VARCHAR" in sql
assert params == ["2022"]
def test_blank_and_notblank():
sql_b, _ = _run(Condition("objet", "blank"))
assert "IS NULL" in sql_b
sql_nb, _ = _run(Condition("objet", "notBlank"))
assert "IS NOT NULL" in sql_nb
def test_date_range_uses_between():
sql, params = _run(
Condition("dateNotification", "range", "2022-01-01", "2022-12-31")
)
assert "BETWEEN" in sql
assert params == ["2022-01-01", "2022-12-31"]
def test_text_range_uses_between():
sql, params = _run(Condition("acheteur_nom", "range", "a", "m"))
assert "BETWEEN" in sql
assert params == ["a", "m"]
def test_blank_on_numeric_column_no_empty_string():
sql, params = _run(Condition("montant", "blank"))
assert sql == '"montant" IS NULL'
assert params == []
def test_notblank_on_date_column_no_empty_string():
sql, params = _run(Condition("dateNotification", "notBlank"))
assert sql == '"dateNotification" IS NOT NULL'
assert params == []
def test_unknown_column_is_true():
assert _run(Condition("colonne_inexistante", "contains", "x")) == ("TRUE", [])
def test_and_or_not_grouping():
node = And(
[
Or(
[
Condition("objet", "contains", "beton"),
Condition("objet", "contains", "ciment"),
]
),
Not(Condition("objet", "contains", "demolition")),
]
)
sql, params = _run(node)
assert " OR " in sql and " AND " in sql and "NOT (" in sql
assert params == ["%beton%", "%ciment%", "%demolition%"]