diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 037a874f..1a848e56 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -59,6 +59,9 @@ jobs: - name: Run tests run: pdm run just test + + - name: Run tests on pyspark backend + run: pdm run just test-pyspark mismo #needed to locate conftest.py lint-and-docs: name: Lint runs-on: ubuntu-latest diff --git a/justfile b/justfile index f60293a6..705eadc6 100644 --- a/justfile +++ b/justfile @@ -22,6 +22,10 @@ lint: test *FILES: pytest {{FILES}} +# run tests on the pyspark backend +test-pyspark *FILES: + pytest --backend=pyspark {{FILES}} + # include --dev-addr localhost:8001 to avoid conflicts with other mkdocs instances # serve docs for live editing docs: diff --git a/mismo/arrays/tests/test_array.py b/mismo/arrays/tests/test_array.py index def1dc65..c23cdb2d 100644 --- a/mismo/arrays/tests/test_array.py +++ b/mismo/arrays/tests/test_array.py @@ -60,10 +60,17 @@ def test_array_max(backend, dtype, inp, exp): @pytest.mark.parametrize( "inp,type,exp", [ + # duckdb maybe is inconsistent with how it takes the median of + # even-length arrays. Skip testing that for now. + # SELECT MEDIAN(x) from (SELECT unnest([0.0, 2.0]) as x); -> 0.0 + # SELECT MEDIAN(x) from (SELECT unnest([0, 2]) as x); -> 1.0 + # This sounds to me like the exact inverse of the docs, + # which say that ordinal values get floored and quantitative values get meaned. + # https://discord.com/channels/909674491309850675/921073327009853451/1278856039164411916 pytest.param([0, 1, 2], "int", 1.0, id="happy"), pytest.param([0, 2], "int", 1.0, id="split"), pytest.param([0, 1], "int", 0.5, id="frac"), - pytest.param([0.0, 1.0], "float", 0.5, id="frac_float"), + pytest.param([0.0, 1.0, 2.0], "float", 1.0, id="frac_float"), pytest.param([0, 1, None, 2], "int", 1.0, id="with_null"), pytest.param([], "int", None, id="empty"), pytest.param(None, "int", None, id="null"), diff --git a/mismo/block/_key_blocker.py b/mismo/block/_key_blocker.py index 4ad57f20..acd16b48 100644 --- a/mismo/block/_key_blocker.py +++ b/mismo/block/_key_blocker.py @@ -326,7 +326,7 @@ def pair_counts( The total number of pairs that would be generated is easy to find: >>> counts.n.sum().execute() - 4 + np.int64(4) """ # noqa: E501 if task is None: task = "dedupe" if left is right else "link" diff --git a/mismo/compare/_match_level.py b/mismo/compare/_match_level.py index 49dac6bf..dffe944d 100644 --- a/mismo/compare/_match_level.py +++ b/mismo/compare/_match_level.py @@ -74,7 +74,7 @@ def __getitem__(self, key): >>> NameMatchLevel[ibis.literal(1)].execute() 'NEAR' >>> NameMatchLevel[ibis.literal("NEAR")].execute() - 1 + np.int8(1) >>> NameMatchLevel[100] Traceback (most recent call last): ... @@ -147,7 +147,7 @@ class MatchLevel(metaclass=_LevelsMeta): >>> NameMatchLevel[ibis.literal(1)].execute() 'NEAR' >>> NameMatchLevel[ibis.literal("NEAR")].execute() - 1 + np.int8(1) You can construct your own values, both from python literals... @@ -171,12 +171,12 @@ class MatchLevel(metaclass=_LevelsMeta): 2 NEAR 3 None Name: NameMatchLevel, dtype: object - >>> levels.as_integer().execute() + >>> levels.as_integer().name("levels").execute() 0 0 1 2 2 1 3 99 - Name: Array(), dtype: int8 + Name: levels, dtype: int8 Comparisons work as you expect: @@ -184,12 +184,12 @@ class MatchLevel(metaclass=_LevelsMeta): True >>> NameMatchLevel(1) == "NEAR" True - >>> (levels_raw == NameMatchLevel.NEAR).execute() + >>> (levels_raw == NameMatchLevel.NEAR).name("eq").execute() 0 False 1 False 2 True 3 False - Name: Equals(Array(), 1), dtype: bool + Name: eq, dtype: bool However, implicit ordering is not supported (file an issue if you think it should be): diff --git a/mismo/conftest.py b/mismo/conftest.py index e3a6457a..43d502de 100644 --- a/mismo/conftest.py +++ b/mismo/conftest.py @@ -3,6 +3,8 @@ import dataclasses import os from typing import Any, Callable, Iterable, Protocol +import uuid +import warnings import ibis from ibis.expr import datatypes as dt @@ -13,25 +15,44 @@ pytest.register_assert_rewrite("mismo.tests.util") -@pytest.fixture -def backend() -> ibis.BaseBackend: - return ibis.duckdb.connect() +def pytest_addoption(parser): + parser.addoption( + "--backend", + action="store", + default="duckdb", + help="Specify the backend to use: duckdb (default) or pyspark", + ) -_count = 0 +@pytest.fixture +def backend(request) -> ibis.BaseBackend: + backend_option = request.config.getoption("--backend") + if backend_option == "duckdb": + return ibis.duckdb.connect() + elif backend_option == "pyspark": + # Suppress warnings from PySpark + warnings.filterwarnings("ignore", category=UserWarning, module="pyspark") + warnings.filterwarnings("ignore", category=DeprecationWarning, module="pyspark") + return ibis.pyspark.connect() + else: + raise ValueError(f"Unsupported backend: {backend_option}") @pytest.fixture def table_factory(backend: ibis.BaseBackend) -> Callable[..., ir.Table]: + created_tables = [] + def factory(data, schema=None, columns=None, **kwargs): - global _count - name = f"__mismo_test{_count}" - _count += 1 + name = f"__mismo_test_{uuid.uuid4().hex}" mt = ibis.memtable(data, schema=schema, columns=columns) result = backend.create_table(name, mt, **kwargs) + created_tables.append(name) return result - return factory + yield factory + + for name in created_tables: + backend.drop_table(name, force=True) class ColumnFactory(Protocol): diff --git a/mismo/tests/test_factorizer.py b/mismo/tests/test_factorizer.py index 251b9901..79afe2fc 100644 --- a/mismo/tests/test_factorizer.py +++ b/mismo/tests/test_factorizer.py @@ -33,13 +33,13 @@ ), pytest.param( [(4, 4), (3, 3), (2, 2), (None, None)], - "uint64", - id="integers", + "int64", + id="int64", ), pytest.param( [(4, 2), (3, 1), (2, 0), (None, None)], - "int64", - id="integers", + "uint64", + id="uint64", ), pytest.param( [ diff --git a/mismo/text/_similarity.py b/mismo/text/_similarity.py index 645e5dac..b45e10e4 100644 --- a/mismo/text/_similarity.py +++ b/mismo/text/_similarity.py @@ -78,13 +78,13 @@ def levenshtein_ratio(s1: ir.StringValue, s2: ir.StringValue) -> ir.FloatingValu -------- >>> from mismo.text import levenshtein_ratio >>> levenshtein_ratio("mile", "mike").execute() - 0.75 + np.float64(0.75) >>> levenshtein_ratio("mile", "mile").execute() - 1.0 + np.float64(1.0) >>> levenshtein_ratio("mile", "").execute() - 0.0 + np.float64(0.0) >>> levenshtein_ratio("", "").execute() - nan + np.float64(nan) """ return _dist_ratio(s1, s2, lambda a, b: a.levenshtein(b)) diff --git a/mismo/vector/_vector.py b/mismo/vector/_vector.py index 28ab5949..303b30df 100644 --- a/mismo/vector/_vector.py +++ b/mismo/vector/_vector.py @@ -52,11 +52,11 @@ def dot(a: T, b: T) -> ir.FloatingValue: >>> v1 = ibis.array([1, 2]) >>> v2 = ibis.array([4, 5]) >>> dot(v1, v2).execute() # 1*4 + 2*5 - 14.0 + np.float64(14.0) >>> m1 = ibis.map({"a": 1, "b": 2}) >>> m2 = ibis.map({"b": 3, "c": 4}) >>> dot(m1, m2).execute() # 2*3 - 6.0 + np.float64(6.0) """ a_vals, b_vals = _shared_vals(a, b) return _array_dot_product(a_vals, b_vals) @@ -94,7 +94,7 @@ def cosine_similarity(a: T, b: T) -> ir.FloatingValue: Orthogonal vectors: >>> cosine_similarity(ibis.array([1, 0]), ibis.array([0, 1])).execute() - 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