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test_macros.py
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1168 lines (1041 loc) · 39.7 KB
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import typing as t
from datetime import datetime, date
import pytest
from sqlglot import MappingSchema, ParseError, exp, parse_one
from sqlmesh.core import constants as c, dialect as d
from sqlmesh.core.dialect import StagedFilePath
from sqlmesh.core.macros import SQL, MacroEvalError, MacroEvaluator, macro
from sqlmesh.utils.date import to_datetime, to_date
from sqlmesh.utils.errors import SQLMeshError
from sqlmesh.utils.metaprogramming import Executable
from sqlmesh.core.macros import RuntimeStage
@pytest.fixture
def macro_evaluator() -> MacroEvaluator:
@macro()
def filter_country(
evaluator: MacroEvaluator, expression: exp.Condition, country: exp.Literal
) -> exp.Condition:
return t.cast(exp.Condition, exp.and_(expression, exp.column("country").eq(country)))
@macro("UPPER")
def upper_case(evaluator: MacroEvaluator, expression: exp.Condition) -> str:
return f"UPPER({expression} + 1)"
@macro("noop")
def noop(evaluator: MacroEvaluator):
return None
@macro()
def bitshift_square(evaluator: MacroEvaluator, x: int, y: int) -> int:
return (x >> y) ** 2
@macro()
def prefix_db(evaluator: MacroEvaluator, table: exp.Table, prefix: str) -> exp.Table:
table.set("db", prefix + table.db)
return table
@macro()
def repeated(evaluator: MacroEvaluator, expr: str, times: int = 2, multi: bool = False):
if multi is True:
return (expr,) * times
return expr * times
@macro()
def join_str(evaluator: MacroEvaluator, arg: str, *args: str, **kwargs: str):
return exp.Literal.string(
"-".join(
[
arg,
*args,
*(f"{k}:{v}" for k, v in kwargs.items()),
]
)
)
@macro()
def split(evaluator: MacroEvaluator, string: str, sep: str = ","):
return string.split(sep)
@macro()
def cte_tag_name(evaluator: MacroEvaluator, with_: exp.Select):
for cte in with_.find_all(exp.CTE):
name = cte.alias_or_name
for query in cte.find_all(exp.Select):
query.select(exp.Literal.string(name).as_("source"), copy=False)
return with_
@macro()
def suffix_idents(evaluator: MacroEvaluator, items: t.List[str], suffix: str):
return [item + suffix for item in items]
@macro()
def suffix_idents_2(evaluator: MacroEvaluator, items: t.Tuple[str, ...], suffix: str):
return [item + suffix for item in items]
@macro()
def stamped(evaluator, query: exp.Select) -> exp.Subquery:
return query.select(exp.Literal.string("2024-01-01").as_("stamp")).subquery()
@macro()
def test_arg_resolution(evaluator, pos_only, /, a1, *, a2=1, **rest):
return 1
@macro()
def test_default_arg_coercion(
evaluator: MacroEvaluator,
a1: int = 1,
a2: int = exp.Literal.number(2), # type: ignore
):
return sum([a1, a2])
@macro()
def test_select_macro(evaluator):
return "SELECT 1 AS col"
@macro()
def test_literal_type(evaluator, a: t.Literal["test_literal_a", "test_literal_b", 1, True]):
if isinstance(a, exp.Expression):
raise SQLMeshError("Coercion failed")
return f"'{a}'"
return MacroEvaluator(
"hive",
{"test": Executable(name="test", payload="def test(_):\n return 'test'")},
)
def test_star(assert_exp_eq) -> None:
sql = """SELECT @STAR(foo) FROM foo"""
expected_sql = "SELECT CAST([foo].[a] AS DATETIMEOFFSET) AS [a], CAST([foo].[b] AS INTEGER) AS [b] FROM foo"
schema = MappingSchema(
{
"foo": {
"a": exp.DataType.build("datetimeoffset", dialect="tsql"),
"b": "int",
},
},
dialect="tsql",
)
evaluator = MacroEvaluator(schema=schema, dialect="tsql")
assert_exp_eq(evaluator.transform(parse_one(sql, read="tsql")), expected_sql, dialect="tsql")
sql = "SELECT @STAR(foo, exclude := [SomeColumn]) FROM foo"
expected_sql = "SELECT CAST(`foo`.`a` AS STRING) AS `a` FROM foo"
schema = MappingSchema(
{
"foo": {
"a": exp.DataType.build("string"),
"somecolumn": "int",
},
},
dialect="databricks",
)
evaluator = MacroEvaluator(schema=schema, dialect="databricks")
assert_exp_eq(
evaluator.transform(parse_one(sql, read="databricks")),
expected_sql,
dialect="databricks",
)
sql = "SELECT @STAR(foo, exclude := ARRAY(b)) FROM foo"
expected_sql = "SELECT [foo].[a] AS [a] FROM foo"
schema = MappingSchema(
{
"foo": {
"a": exp.DataType.build("unknown"),
"b": "int",
},
},
dialect="tsql",
)
evaluator = MacroEvaluator(schema=schema, dialect="tsql")
assert_exp_eq(evaluator.transform(parse_one(sql, read="tsql")), expected_sql, dialect="tsql")
sql = """SELECT @STAR(foo) FROM foo"""
expected_sql = (
"""SELECT CAST("FOO"."A" AS DATE) AS "A", CAST("FOO"."B" AS INTEGER) AS "B" FROM foo"""
)
schema = MappingSchema(
{
"foo": {
"a": exp.DataType.build("date", dialect="snowflake"),
"b": "int",
},
},
dialect="snowflake",
)
evaluator = MacroEvaluator(schema=schema, dialect="snowflake")
assert_exp_eq(
evaluator.transform(parse_one(sql, read="snowflake")), expected_sql, dialect="snowflake"
)
sql = """SELECT @STAR("foo") FROM "foo" """
expected_sql = (
"""SELECT CAST("foo"."A" AS DATE) AS "A", CAST("foo"."B" AS INTEGER) AS "B" FROM "foo" """
)
schema = MappingSchema(
{
'"foo"': {
"a": exp.DataType.build("date", dialect="snowflake"),
"b": "int",
},
},
dialect="snowflake",
)
evaluator = MacroEvaluator(schema=schema, dialect="snowflake")
assert_exp_eq(
evaluator.transform(parse_one(sql, read="snowflake")), expected_sql, dialect="snowflake"
)
sql = """SELECT @STAR(foo, alias := "bar") FROM foo "bar" """
expected_sql = """SELECT CAST("bar"."A" AS DATE) AS "A", CAST("bar"."B" AS INTEGER) AS "B" FROM foo "bar" """
schema = MappingSchema(
{
"foo": {
"a": exp.DataType.build("date", dialect="snowflake"),
"b": "int",
},
},
dialect="snowflake",
)
evaluator = MacroEvaluator(schema=schema, dialect="snowflake")
assert_exp_eq(
evaluator.transform(parse_one(sql, read="snowflake")), expected_sql, dialect="snowflake"
)
def test_start_no_column_types(assert_exp_eq) -> None:
sql = """SELECT @STAR(foo) FROM foo"""
expected_sql = """SELECT [foo].[a] AS [a] FROM foo"""
schema = MappingSchema({"foo": {"a": exp.DataType.build("UNKNOWN")}}, dialect="tsql")
evaluator = MacroEvaluator(schema=schema, dialect="tsql")
assert_exp_eq(evaluator.transform(parse_one(sql, read="tsql")), expected_sql, dialect="tsql")
def test_case(macro_evaluator: MacroEvaluator) -> None:
assert macro.get_registry()["upper"]
def test_macro_var(macro_evaluator):
expression = parse_one("@x")
for k, v in [
(1, "1"),
("1", "'1'"),
(None, "NULL"),
(True, "TRUE"),
(False, "FALSE"),
]:
macro_evaluator.locals = {"x": k}
assert macro_evaluator.transform(expression).sql() == v
# Check Snowflake-specific StagedFilePath / MacroVar behavior
e = parse_one("select @x from @path, @y", dialect="snowflake")
macro_evaluator.locals = {"x": parse_one("a"), "y": parse_one("t2")}
macro_evaluator.dialect = "snowflake"
assert e.find(StagedFilePath) is not None
assert macro_evaluator.transform(e).sql(dialect="snowflake") == "SELECT a FROM @path, t2"
# Referencing a var that doesn't exist in the evaluator's scope should raise
macro_evaluator.locals = {}
for dialect in ("", "snowflake"):
with pytest.raises(SQLMeshError) as ex:
macro_evaluator.transform(parse_one("SELECT @y", dialect=dialect))
assert "Macro variable 'y' is undefined." in str(ex.value)
# Parsing a "parameter" like Snowflake's $1 should not produce a MacroVar expression
e = parse_one("select $1 from @path (file_format => bla.foo)", read="snowflake")
assert e.find(exp.Parameter) is e.selects[0]
assert e.find(StagedFilePath)
# test no space
e = parse_one("select $1 from @path(file_format => bla.foo)", read="snowflake")
assert e.find(StagedFilePath)
assert e.sql(dialect="snowflake") == "SELECT $1 FROM @path (FILE_FORMAT => bla.foo)"
macro_evaluator.locals = {"x": 1}
macro_evaluator.dialect = "snowflake"
e = parse_one("COPY INTO @'s3://example/foo_@{x}.csv' FROM a.b.c", read="snowflake")
assert (
macro_evaluator.transform(e).sql(dialect="snowflake")
== "COPY INTO 's3://example/foo_1.csv' FROM a.b.c"
)
def test_macro_str_replace(macro_evaluator):
expression = parse_one("""@'@val1, @val2'""")
macro_evaluator.locals = {"val1": "one", "val2": "two"}
assert macro_evaluator.transform(expression).sql() == "'one, two'"
def test_macro_custom(macro_evaluator, assert_exp_eq):
assert_exp_eq(macro_evaluator.transform(parse_one("SELECT @TEST()")), "SELECT test")
def test_ast_correctness(macro_evaluator):
macro_evaluator.locals = {"x": "y"}
assert macro_evaluator.transform(parse_one("SELECT * FROM @SQL('@x')")).find(
exp.Table
) == exp.table_("y")
@pytest.mark.parametrize(
"sql, expected, args",
[
(
"""select @each(['a', 'b'], x -> @x + @{x}_z + @y + @{y}_@{x})""",
"SELECT 'a' + a_z + 'c' + c_a, 'b' + b_z + 'c' + c_b",
{"y": "c"},
),
(
"""select @each(['a'], x -> @X)""",
"SELECT 'a'",
{},
),
(
"""select @each(['a'], X -> @x)""",
"SELECT 'a'",
{},
),
(
'"is_@{x}"',
'"is_b"',
{"x": "b"},
),
(
"@{x}_is",
"b_is",
{"x": "b"},
),
(
"@{x}_@{y}",
"b_c",
{"x": "b", "y": "c"},
),
(
"@{x}_@y",
"b_c",
{"x": "b", "y": "c"},
),
(
"select @each([(a, b), (c, d)], (x, y) -> x as y)",
"SELECT a AS b, c AS d",
{},
),
(
"select @each(['a', 'b'], x -> x = y as is_@{x})",
"SELECT 'a' = y as is_a, 'b' = y as is_b",
{},
),
(
"""@UPPER(@EVAL(1 + 1)) + 2""",
"UPPER(2 + 1) + 2",
{},
),
(
"""@UPPER(x) + 2""",
"UPPER(x + 1) + 2",
{},
),
(
"""select @EACH([a, b], x -> x)""",
"SELECT a, b",
{},
),
(
"""@FILTER_COUNTRY(continent = 'NA', 'USA')""",
"continent = 'NA' AND country = 'USA'",
{},
),
("""@SQL(@REDUCE([100, 200, 300, 400], (x,y) -> x + y))""", "1000", {}),
(
"""@SQL(@REDUCE(@FILTER([100, 200, 300, 400], x -> x > 250), (x,y) -> x + y))""",
"700",
{},
),
(
"""select @EACH([a, b, c], x -> x and @SQL('@y'))""",
"SELECT a AND z, b AND z, c AND z",
{"y": "z"},
),
(
"""select @REDUCE([a, b, c], (x, y) -> x and y and @SQL('@z'))""",
"SELECT a AND b AND z2 AND c AND z2",
{"z": "z2"},
),
(
"""select @REDUCE(@EACH([a, b, c], x -> column like x), (x, y) -> x or y)""",
"SELECT column LIKE a OR column LIKE b OR column LIKE c",
{},
),
("SELECT @REDUCE([1], (x, y) -> x + y)", "SELECT 1", {}),
("SELECT @REDUCE([1, 2], (x, y) -> x + y)", "SELECT 1 + 2", {}),
("SELECT @REDUCE([[1]], (x, y) -> x + y)", "SELECT ARRAY(1)", {}),
("SELECT @REDUCE([[1, 2]], (x, y) -> x + y)", "SELECT ARRAY(1, 2)", {}),
(
"""select @EACH([a, b, c], x -> column like x AS @SQL('@{x}_y', 'Identifier')), @x""",
"SELECT column LIKE a AS a_y, column LIKE b AS b_y, column LIKE c AS c_y, '3'",
{"x": "3"},
),
("SELECT @EACH([1], a -> [@a])", "SELECT ARRAY(1)", {}),
("SELECT @EACH([1, 2], a -> [@a])", "SELECT ARRAY(1), ARRAY(2)", {}),
("SELECT @REDUCE(@EACH([1], a -> [@a]), (x, y) -> x + y)", "SELECT ARRAY(1)", {}),
(
"SELECT @REDUCE(@EACH([1, 2], a -> [@a]), (x, y) -> x + y)",
"SELECT ARRAY(1) + ARRAY(2)",
{},
),
("SELECT @REDUCE([[1],[2]], (x, y) -> x + y)", "SELECT ARRAY(1) + ARRAY(2)", {}),
(
"""@WITH(@do_with) all_cities as (select * from city) select all_cities""",
"WITH all_cities AS (SELECT * FROM city) SELECT all_cities",
{"do_with": True},
),
(
"""@WITH(@do_with) all_cities as (select * from city) select all_cities""",
"SELECT all_cities",
{"do_with": False},
),
(
"""select * from city left outer @JOIN(@do_join) country on city.country = country.name""",
"SELECT * FROM city LEFT OUTER JOIN country ON city.country = country.name",
{"do_join": True},
),
(
"""select * from city left outer @JOIN(@do_join) country on city.country = country.name""",
"SELECT * FROM city",
{"do_join": False},
),
(
"""select * from city @JOIN(@do_join) country on city.country = country.name""",
"SELECT * FROM city JOIN country ON city.country = country.name",
{"do_join": True},
),
(
"""select * from city @WHERE(@do_where) population > 100 and country = 'Mexico'""",
"SELECT * FROM city WHERE population > 100 AND country = 'Mexico'",
{"do_where": True},
),
(
"""select * from city @WHERE(@do_where) population > 100 and country = 'Mexico'""",
"SELECT * FROM city",
{"do_where": False},
),
(
"""select * from city @WHERE(@x > 5) population > 100 and country = 'Mexico'""",
"SELECT * FROM city WHERE population > 100 AND country = 'Mexico'",
{"x": 6},
),
(
"""select * from city @WHERE(@x > 5) population > 100 and country = 'Mexico'""",
"SELECT * FROM city",
{"x": 5},
),
(
"""select * from city @GROUP_BY(@do_group) country, population""",
"SELECT * FROM city GROUP BY country, population",
{"do_group": True},
),
(
"""select * from city @GROUP_BY(@do_group) country, population""",
"SELECT * FROM city",
{"do_group": False},
),
(
"""select * from city group by country @HAVING(@do_having) population > 100 and country = 'Mexico'""",
"SELECT * FROM city GROUP BY country HAVING population > 100 AND country = 'Mexico'",
{"do_having": True},
),
(
"""select * from city group by country @HAVING(@do_having) population > 100 and country = 'Mexico'""",
"SELECT * FROM city GROUP BY country",
{"do_having": False},
),
(
"""select * from city @ORDER_BY(@do_order) population, name DESC""",
"SELECT * FROM city ORDER BY population, name DESC",
{"do_order": True},
),
(
"""select * from city @ORDER_BY(@do_order) population, name DESC""",
"SELECT * FROM city",
{"do_order": False},
),
(
"""select * from city @LIMIT(@do_limit) 10""",
"SELECT * FROM city LIMIT 10",
{"do_limit": True},
),
(
"""select * from city @LIMIT(@do_limit) 10""",
"SELECT * FROM city",
{"do_limit": False},
),
(
"""select @if(TRUE, 1, 0)""",
"SELECT 1",
{},
),
(
"""select @if(FALSE, 1, 0)""",
"SELECT 0",
{},
),
(
"""select @if(1 > 0, 1, 0)""",
"SELECT 1",
{},
),
(
"""select @if('a' = 'b', c), d""",
"SELECT d",
{},
),
(
"""@BITSHIFT_SQUARE(50, '3')""",
"36",
{},
),
(
"""@PREFIX_DB(my.schema.table, 'dev_')""",
"my.dev_schema.table",
{},
),
(
"""select @REPEATED(test, 3)""",
"SELECT testtesttest",
{},
),
(
"""select @REPEATED(test, 3, true)""",
"SELECT test, test, test",
{},
),
(
"""select @SPLIT('a,b,c')""",
"SELECT a, b, c",
{},
),
(
"""@CTE_TAG_NAME(WITH step1 AS (SELECT 1) SELECT * FROM step1)""",
"WITH step1 AS (SELECT 1, 'step1' AS source) SELECT * FROM step1",
{},
),
(
"""@CTE_TAG_NAME('WITH step1 AS (SELECT 1) SELECT * FROM step1')""",
"WITH step1 AS (SELECT 1, 'step1' AS source) SELECT * FROM step1",
{},
),
(
"""SELECT @SUFFIX_IDENTS(['a', 'b', 'c'], 'z')""",
"SELECT az, bz, cz",
{},
),
(
"""SELECT @SUFFIX_IDENTS_2(['a', 'b', 'c'], 'z')""",
"SELECT az, bz, cz",
{},
),
(
"""select * FROM @STAMPED('select a, b, c')""",
"SELECT * FROM (SELECT a, b, c, '2024-01-01' AS stamp)",
{},
),
(
"""@OR(NULL, TRUE)""",
"TRUE",
{},
),
(
"""@OR(NULL, NULL)""",
"TRUE",
{},
),
(
"""@OR(NULL)""",
"TRUE",
{},
),
(
"""@OR()""",
"TRUE",
{},
),
(
"""@AND(TRUE, NULL)""",
"TRUE",
{},
),
(
"""select * from x ORDER BY @EACH(@x, c -> c)""",
"SELECT * FROM x ORDER BY a, b",
{"x": [exp.column("a"), exp.column("b")]},
),
(
"""select @SQL('@x')""",
"SELECT VAR_MAP('a', 1)",
{
"x": {"a": 1},
},
),
(
"""select @repeated(x, multi := True)""",
"SELECT x, x",
{},
),
(
"""select @JOIN_STR(a1, b1, c2, d := d1, e := e2)""",
"SELECT 'a1-b1-c2-d:d1-e:e2'",
{},
),
(
"""select @TEST_DEFAULT_ARG_COERCION()""",
"SELECT 3",
{},
),
(
"SELECT * FROM (VALUES @EACH([1, 2, 3], v -> (v)) ) AS v",
"SELECT * FROM (VALUES (1), (2), (3)) AS v",
{},
),
(
"SELECT * FROM (VALUES (@EACH([1, 2, 3], v -> (v))) ) AS v",
"SELECT * FROM (VALUES ((1), (2), (3))) AS v",
{},
),
(
"SELECT * FROM (VALUES @EACH([1, 2, 3], v -> (v, @EVAL(@v + 1))) ) AS v",
"SELECT * FROM (VALUES (1, 2), (2, 3), (3, 4)) AS v",
{},
),
(
"SELECT * FROM (VALUES (@EACH([1, 2, 3], v -> (v, @EVAL(@v + 1)))) ) AS v",
"SELECT * FROM (VALUES ((1, 2), (2, 3), (3, 4))) AS v",
{},
),
],
)
def test_macro_functions(macro_evaluator: MacroEvaluator, assert_exp_eq, sql, expected, args):
macro_evaluator.locals = args or {}
assert_exp_eq(macro_evaluator.transform(parse_one(sql)), expected)
def test_macro_returns_none(macro_evaluator: MacroEvaluator):
assert macro_evaluator.transform(parse_one("@NOOP()")) is None
def test_transform_no_template(mocker, macro_evaluator):
spy = mocker.spy(macro_evaluator, "template")
macro_evaluator.transform(parse_one("select a, b"))
spy.assert_not_called()
def test_macro_coercion(macro_evaluator: MacroEvaluator, assert_exp_eq):
coerce = macro_evaluator._coerce
assert coerce(exp.Literal.number(1), int) == 1
assert coerce(exp.Literal.number(1.1), float) == 1.1
assert coerce(exp.Literal.string("Hi mom"), str) == "Hi mom"
assert coerce(exp.true(), bool) is True
assert coerce(exp.Literal.string("2020-01-01"), datetime) == to_datetime("2020-01-01")
assert coerce(exp.Literal.string("2020-01-01"), date) == to_date("2020-01-01")
# Coercing a string literal to a column should return a column with the same name
assert_exp_eq(coerce(exp.Literal.string("order"), exp.Column), exp.column("order"))
# Not possible to coerce this string literal Cast to an exp.Column node -- so it should just return the input
assert_exp_eq(
coerce(exp.Literal.string("order::date"), exp.Column), exp.Literal.string("order::date")
)
# This however, is correctly coercible since it's a cast
assert_exp_eq(
coerce(exp.Literal.string("order::date"), exp.Cast), exp.cast(exp.column("order"), "DATE")
)
# Here we resolve ambiguity via the user type hint
assert_exp_eq(coerce(exp.Literal.string("order"), exp.Identifier), exp.to_identifier("order"))
assert_exp_eq(coerce(exp.Literal.string("order"), exp.Table), exp.table_("order"))
# Resolve a union type hint by choosing the first one that works
assert_exp_eq(
coerce(exp.Literal.string("order::date"), t.Union[exp.Column, exp.Cast]),
exp.cast(exp.column("order"), "DATE"),
)
# Simply ask for a string, and always get a string
assert coerce(exp.column("order"), str) == "order"
# this is not legal since select is too complex
assert isinstance(coerce(parse_one("SELECT 1"), str), exp.Select)
# From a string literal to a Select should parse the string literal, and the inverse operation works as well
assert_exp_eq(
coerce(exp.Literal.string("SELECT 1 FROM a"), exp.Select), parse_one("SELECT 1 FROM a")
)
assert coerce(parse_one("SELECT 1 FROM a"), SQL) == "SELECT 1 FROM a"
# Get a list of exp directly instead of an exp.Array
assert coerce(parse_one("[1, 2, 3]"), list) == [
exp.Literal.number(1),
exp.Literal.number(2),
exp.Literal.number(3),
]
# Generics work as well, recursively resolving inner types
assert coerce(parse_one("[1, 2, 3]"), t.List[int]) == [1, 2, 3]
assert coerce(parse_one("[1, 2, 3]"), t.Tuple[int, int, float]) == (1, 2, 3.0)
assert coerce(parse_one("[1, 2, 3]"), t.Tuple[int, ...]) == (1, 2, 3)
assert coerce(parse_one("[1, 2, 3]"), t.Tuple[int, str, float]) == (1, "2", 3.0)
assert coerce(
parse_one("[1, 2, [3]]"), t.Tuple[int, str, t.Union[float, t.Tuple[float, ...]]]
) == (1, "2", (3.0,))
# Using exp.Expression will always return the input expression
assert coerce(parse_one("order", into=exp.Column), exp.Expression) == exp.column("order")
assert coerce(exp.Literal.string("OK"), exp.Expression) == exp.Literal.string("OK")
# Strict flag allows raising errors and is used when recursively coercing expressions
# otherwise, in general, we want to be lenient and just warn the user when something is not possible
with pytest.raises(ParseError):
coerce(exp.Literal.string("order"), exp.Select, strict=True)
with pytest.raises(SQLMeshError):
_ = coerce(
exp.Literal.string("order::date"),
t.Union[exp.Column, exp.Identifier],
strict=True,
)
with pytest.raises(SQLMeshError):
_ = coerce(
exp.column("a", "b"),
str,
strict=True,
)
def test_positional_follows_kwargs(macro_evaluator):
with pytest.raises(MacroEvalError, match="Positional argument cannot follow"):
macro_evaluator.evaluate(parse_one("@repeated(x, multi := True, 3)"))
def test_macro_parameter_resolution(macro_evaluator):
with pytest.raises(MacroEvalError, match=".*missing a required argument: 'pos_only'"):
macro_evaluator.evaluate(parse_one("@test_arg_resolution()"))
with pytest.raises(MacroEvalError, match=".*missing a required argument: 'pos_only'"):
macro_evaluator.evaluate(parse_one("@test_arg_resolution(a1 := 1)"))
with pytest.raises(MacroEvalError, match=".*missing a required argument: 'a1'"):
macro_evaluator.evaluate(parse_one("@test_arg_resolution(1)"))
with pytest.raises(MacroEvalError, match=".*missing a required argument: 'a1'"):
macro_evaluator.evaluate(parse_one("@test_arg_resolution(1, a2 := 2)"))
with pytest.raises(
MacroEvalError,
match=".*'pos_only' parameter is positional only, but was passed as a keyword|.*missing a required positional-only argument: 'pos_only'|.*missing a required argument: 'a1'",
):
macro_evaluator.evaluate(parse_one("@test_arg_resolution(pos_only := 1)"))
with pytest.raises(MacroEvalError, match=".*too many positional arguments"):
macro_evaluator.evaluate(parse_one("@test_arg_resolution(1, 2, 3)"))
def test_macro_metadata_flag():
@macro()
def noop(evaluator) -> None:
return None
@macro(metadata_only=True)
def noop_metadata_only(evaluator) -> None:
return None
assert not hasattr(noop, c.SQLMESH_METADATA)
assert not macro.get_registry()["noop"].metadata_only
assert getattr(noop_metadata_only, c.SQLMESH_METADATA) is True
assert macro.get_registry()["noop_metadata_only"].metadata_only is True
def test_macro_first_value_ignore_respect_nulls(assert_exp_eq) -> None:
schema = MappingSchema({}, dialect="duckdb")
evaluator = MacroEvaluator(schema=schema, dialect="duckdb")
evaluator.evaluate(t.cast(d.MacroDef, d.parse_one("@DEF(test, x -> x)")))
expected_sql = "SELECT FIRST_VALUE(x IGNORE NULLS) OVER (ORDER BY y NULLS FIRST) AS column_test"
actual_expr = d.parse_one(
"SELECT FIRST_VALUE(@test(x) IGNORE NULLS) OVER (ORDER BY y) AS column_test"
)
assert_exp_eq(evaluator.transform(actual_expr), expected_sql, dialect="duckdb")
expected_sql = (
"SELECT FIRST_VALUE(x RESPECT NULLS) OVER (ORDER BY y NULLS FIRST) AS column_test"
)
actual_expr = d.parse_one(
"SELECT FIRST_VALUE(@test(x) RESPECT NULLS) OVER (ORDER BY y) AS column_test"
)
assert_exp_eq(evaluator.transform(actual_expr), expected_sql, dialect="duckdb")
DEDUPLICATE_SQL = """
@deduplicate(
my_table,
[user_id, CAST(timestamp AS DATE)],
['timestamp DESC', 'status ASC nulls last']
)
"""
@pytest.mark.parametrize(
"dialect, sql, expected_sql",
[
*[
(
dialect,
DEDUPLICATE_SQL,
"""
SELECT *
FROM my_table
QUALIFY ROW_NUMBER() OVER (
PARTITION BY user_id, CAST(timestamp AS DATE)
ORDER BY timestamp DESC, status ASC NULLS LAST
) = 1
""",
)
for dialect in ["bigquery", "databricks", "snowflake", "duckdb"]
],
(
"redshift",
DEDUPLICATE_SQL,
"""
SELECT *
FROM my_table
QUALIFY ROW_NUMBER() OVER (
PARTITION BY user_id, CAST("timestamp" AS DATE)
ORDER BY "timestamp" DESC, status ASC NULLS LAST
) = 1
""",
),
*[
(
dialect,
DEDUPLICATE_SQL,
"""
SELECT *
FROM (
SELECT *, ROW_NUMBER() OVER (
PARTITION BY user_id, CAST(timestamp AS DATE)
ORDER BY timestamp DESC, status ASC NULLS LAST
) AS _w
FROM my_table
) as _t
WHERE _w = 1
""",
)
for dialect in ["trino", "postgres"]
],
],
)
def test_deduplicate(assert_exp_eq, dialect, sql, expected_sql):
schema = MappingSchema({}, dialect=dialect)
evaluator = MacroEvaluator(schema=schema, dialect=dialect)
assert_exp_eq(evaluator.transform(parse_one(sql)), expected_sql, dialect=dialect)
def test_deduplicate_error_handling(macro_evaluator):
# Test error handling: non-list partition_by
with pytest.raises(
SQLMeshError,
match="partition_by must be a list of columns: \\[<column>, cast\\(<column> as <type>\\)\\]",
):
macro_evaluator.evaluate(parse_one("@deduplicate(my_table, user_id, ['timestamp DESC'])"))
# Test error handling: non-list order_by
with pytest.raises(
SQLMeshError,
match="order_by must be a list of strings, optional - nulls ordering: \\['<column> <asc|desc> nulls <first|last>'\\]",
):
macro_evaluator.evaluate(parse_one("@deduplicate(my_table, [user_id], 'timestamp DESC')"))
# Test error handling: empty order_by
with pytest.raises(
SQLMeshError,
match="order_by must be a list of strings, optional - nulls ordering: \\['<column> <asc|desc> nulls <first|last>'\\]",
):
macro_evaluator.evaluate(parse_one("@deduplicate(my_table, [user_id], [])"))
@pytest.mark.parametrize(
"dialect, date_part",
[
(dialect, date_part)
for dialect in [
"duckdb",
"snowflake",
"postgres",
"spark",
"bigquery",
"databricks",
"redshift",
]
for date_part in ["day", "week", "month", "quarter", "year"]
],
)
def test_date_spine(assert_exp_eq, dialect, date_part):
date_spine_macro = f"""
@date_spine(
'{date_part}',
'2022-01-01',
'2024-12-31'
)
"""
schema = MappingSchema({}, dialect=dialect)
evaluator = MacroEvaluator(schema=schema, dialect=dialect)
# Generate the expected SQL based on the dialect and date_part
if dialect == "duckdb":
interval = f"INTERVAL '1' {date_part.upper()}"
expected_sql = f"""
SELECT
date_{date_part}
FROM
UNNEST(
CAST(
GENERATE_SERIES(
CAST('2022-01-01' AS DATE),
CAST('2024-12-31' AS DATE),
{interval}
) AS DATE[]
)
) AS _exploded(date_{date_part})
"""
elif dialect == "snowflake":
expected_sql = f"""
SELECT
date_{date_part}
FROM (
SELECT
DATEADD(
{date_part.upper()},
CAST(date_{date_part} AS INT),
CAST('2022-01-01' AS DATE)
) AS date_{date_part}
FROM
TABLE(
FLATTEN(
INPUT => ARRAY_GENERATE_RANGE(
0,
(
DATEDIFF(
{date_part.upper()},
CAST('2022-01-01' AS DATE),
CAST('2024-12-31' AS DATE)
) + 1 - 1
) + 1
)
)
) AS _exploded(seq, key, path, index, date_{date_part}, this)
) AS _exploded(date_{date_part})
"""
elif dialect == "postgres":
interval = "3 MONTH" if date_part == "quarter" else f"1 {date_part.upper()}"
expected_sql = f"""
SELECT
date_{date_part}
FROM (
SELECT
CAST(value AS DATE)
FROM
GENERATE_SERIES(
CAST('2022-01-01' AS DATE),
CAST('2024-12-31' AS DATE),
INTERVAL '{interval}'
) AS _t(value)
) AS _exploded(date_{date_part})
"""
elif dialect == "spark":
interval = "3 MONTH" if date_part == "quarter" else f"1 {date_part.upper()}"
expected_sql = f"""
SELECT
date_{date_part}
FROM
EXPLODE(
SEQUENCE(
CAST('2022-01-01' AS DATE),
CAST('2024-12-31' AS DATE),
INTERVAL {interval}
)
) AS _exploded(date_{date_part})
"""
elif dialect == "databricks":
interval = "3 MONTH" if date_part == "quarter" else f"1 {date_part.upper()}"
expected_sql = f"""
SELECT
date_{date_part}
FROM
EXPLODE(
SEQUENCE(
CAST('2022-01-01' AS DATE),
CAST('2024-12-31' AS DATE),
INTERVAL {interval}
)
) AS _exploded(date_{date_part})
"""
elif dialect == "bigquery":
expected_sql = f"""
SELECT
date_{date_part}
FROM
UNNEST(
GENERATE_DATE_ARRAY(
CAST('2022-01-01' AS DATE),
CAST('2024-12-31' AS DATE),
INTERVAL '1' {date_part}
)
) AS date_{date_part}