Files
colibre/tests/test_query_ast.py
T
Colin Maudry a7662a8561 feat(query): sort_model_to_sql + sérialisation AST (#41)
Ajoute sort_model_to_sql (adapte le sortModel AG Grid vers sort_by_to_sql
existant) et ast_to_dict/ast_from_dict pour le round-trip JSON de l'AST,
nécessaire aux vues sauvegardées.
2026-07-10 07:57:41 +02:00

238 lines
6.5 KiB
Python

import polars as pl
from src.utils.query_ast import (
And,
Condition,
Not,
Or,
ast_from_dict,
ast_to_dict,
ast_to_sql,
filtermodel_to_ast,
sort_model_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%"]
def test_filtermodel_empty_is_none():
assert filtermodel_to_ast(None, SCHEMA) is None
assert filtermodel_to_ast({}, SCHEMA) is None
def test_filtermodel_text_contains():
fm = {"objet": {"filterType": "text", "type": "contains", "filter": "voirie"}}
_, params = ast_to_sql(filtermodel_to_ast(fm, SCHEMA), SCHEMA)
assert params == ["%voirie%"]
def test_filtermodel_number_greaterthan():
fm = {"montant": {"filterType": "number", "type": "greaterThan", "filter": 40000}}
sql, params = ast_to_sql(filtermodel_to_ast(fm, SCHEMA), SCHEMA)
assert '"montant"' in sql and params == [40000.0]
def test_filtermodel_number_inrange():
fm = {
"montant": {
"filterType": "number",
"type": "inRange",
"filter": 100,
"filterTo": 200,
}
}
_, params = ast_to_sql(filtermodel_to_ast(fm, SCHEMA), SCHEMA)
assert params == [100.0, 200.0]
def test_filtermodel_date_uses_datefrom():
fm = {
"dateNotification": {
"filterType": "date",
"type": "greaterThan",
"dateFrom": "2022-01-01",
}
}
_, params = ast_to_sql(filtermodel_to_ast(fm, SCHEMA), SCHEMA)
assert params == ["2022-01-01"]
def test_filtermodel_two_conditions_or():
fm = {
"objet": {
"filterType": "text",
"operator": "OR",
"condition1": {"filterType": "text", "type": "contains", "filter": "beton"},
"condition2": {
"filterType": "text",
"type": "contains",
"filter": "ciment",
},
}
}
sql, params = ast_to_sql(filtermodel_to_ast(fm, SCHEMA), SCHEMA)
assert " OR " in sql and params == ["%beton%", "%ciment%"]
def test_filtermodel_multiple_columns_are_anded():
fm = {
"objet": {"filterType": "text", "type": "contains", "filter": "voirie"},
"montant": {"filterType": "number", "type": "greaterThan", "filter": 1000},
}
sql, params = ast_to_sql(filtermodel_to_ast(fm, SCHEMA), SCHEMA)
assert " AND " in sql and set(params) == {"%voirie%", 1000.0}
def test_sort_model_to_sql():
sm = [{"colId": "montant", "sort": "desc"}, {"colId": "dureeMois", "sort": "asc"}]
out = sort_model_to_sql(sm, SCHEMA)
assert out == '"montant" DESC NULLS LAST, "dureeMois" ASC NULLS LAST'
def test_sort_model_empty():
assert sort_model_to_sql(None, SCHEMA) == ""
assert sort_model_to_sql([], SCHEMA) == ""
def test_ast_dict_roundtrip():
node = And(
[
Or([Condition("objet", "contains", "beton")]),
Not(Condition("objet", "contains", "x")),
]
)
restored = ast_from_dict(ast_to_dict(node))
assert ast_to_sql(restored, SCHEMA) == ast_to_sql(node, SCHEMA)
def test_ast_dict_none():
assert ast_to_dict(None) is None
assert ast_from_dict(None) is None