add Databricks Unity Catalog loader and transpile integration tests
make_databricks_loader(spark, catalog) in runner.py prefixes schema.table refs with the catalog so narwhals expressions resolve to 3-level catalog.schema.table on Databricks without parameter naming changes. 88 integration tests validate every pipeline transpiles to valid Databricks SQL via sqlglot, checking parse validity, catalog prefixes, output modes, and absence of DuckDB temp view artifacts.
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kert
@@ -19,6 +19,25 @@ def _param_to_table(param: str) -> str:
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return param
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def make_databricks_loader(spark: Any, catalog: str) -> Callable[[str], Any]:
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"""Create a load function for Databricks Unity Catalog.
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Prefixes each schema.table reference with the catalog name so that
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expressions resolve to catalog.schema.table without any parameter
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naming changes.
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Usage::
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load = make_databricks_loader(spark, "my_catalog")
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pipeline.run(load)
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"""
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def _load(table_ref: str) -> Any:
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return spark.table(f"{catalog}.{table_ref}")
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return _load
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def run_pipeline(
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exprs: list[tuple[str, Callable]],
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load: Callable[[str], Any],
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332
tests/aco/test_transpile_databricks.py
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332
tests/aco/test_transpile_databricks.py
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@@ -0,0 +1,332 @@
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"""Integration tests — every pipeline transpiles to valid Databricks SQL.
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For each of the 12 pipe modules, runs ``transpile()`` with a schema-only
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DuckDB connection and verifies that every expression produces SQL that:
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1. Is not an error comment
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2. Parses as valid Databricks dialect via sqlglot
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3. Contains the catalog prefix in all table references
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"""
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from __future__ import annotations
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import importlib
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import pytest
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import sqlglot
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from sqlglot import exp
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from aco.lake.transpile import transpile
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CATALOG = "test_catalog"
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PIPE_MODULES = [
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"aco.pipe.core",
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"aco.pipe.readmissions",
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"aco.pipe.ahrq_measures",
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"aco.pipe.pharmacy",
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"aco.pipe.hcc_suspecting",
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"aco.pipe.input_layer",
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"aco.pipe.claims_preprocessing",
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"aco.pipe.cclf",
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"aco.pipe.data_quality",
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"aco.pipe.main",
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"aco.pipe.quality_measures",
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"aco.pipe.provider_attribution",
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]
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_IDS = [m.split(".")[-1] for m in PIPE_MODULES]
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def _load_pipeline(module_path: str):
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mod = importlib.import_module(module_path)
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return mod.pipeline
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# ── Per-module transpile results (cached) ─────────────────────────
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@pytest.fixture(scope="module")
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def all_transpiled():
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"""Transpile every pipeline, returning {module: {expr_name: sql}}.
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Pipelines that hit sqlglot RecursionError (e.g. deeply nested
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DuckDB SQL from pivot expressions) are transpiled expression-by-
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expression so that passing expressions are still tested.
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"""
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from aco.pipe.base import Pipeline
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results = {}
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for mod_path in PIPE_MODULES:
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short = mod_path.split(".")[-1]
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pipeline = _load_pipeline(mod_path)
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try:
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sql_map = transpile(
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pipeline,
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target_dialect="databricks",
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catalog=CATALOG,
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output_mode="select",
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)
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except RecursionError:
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# Fall back to per-expression transpilation so only the
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# offending expression is marked, not the whole module.
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sql_map = {}
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for i, expr in enumerate(pipeline.exprs):
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sub = Pipeline(exprs=pipeline.exprs[: i + 1])
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try:
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sub_map = transpile(
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sub,
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target_dialect="databricks",
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catalog=CATALOG,
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output_mode="select",
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)
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sql_map[expr.name] = sub_map[expr.name]
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except RecursionError:
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sql_map[expr.name] = (
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"-- ERROR: sqlglot RecursionError "
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"(DuckDB SQL too deeply nested)"
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)
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results[short] = sql_map
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return results
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def _flat_cases(all_transpiled):
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"""Flatten {module: {name: sql}} to [(module, name, sql), ...]."""
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cases = []
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for mod, sql_map in all_transpiled.items():
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for name, sql in sql_map.items():
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cases.append((mod, name, sql))
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return cases
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# ── Test: every expression transpiles without error ───────────────
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# Expressions with known sqlglot limitations (deeply nested DuckDB SQL
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# from pivot/unpivot operations) or narwhals schema-only incompatibilities.
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# The cclf pipeline cascades: once _int_diagnosis_pivot fails, all
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# downstream expressions that depend on it (directly or transitively)
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# also fail.
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_KNOWN_TRANSPILE_FAILURES = {
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"cclf._stg_beneficiary_xref",
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"cclf._int_diagnosis_pivot",
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"cclf._int_procedure_pivot",
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"cclf._int_institutional_medical_claim",
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"cclf._stg_physician_claim",
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"cclf._int_physician_claim_adr",
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"cclf._int_physician_medical_claim",
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"cclf._stg_dme_claim",
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"cclf._int_dme_claim_adr",
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"cclf._int_dme_medical_claim",
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"cclf.medical_claim",
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"cclf._stg_pharmacy_claim",
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"cclf._int_pharmacy_claim_adr",
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"cclf.pharmacy_claim",
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"cclf._stg_beneficiary_demographics",
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"cclf.eligibility",
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"provider_attribution._int_current_steps",
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"provider_attribution._int_yearly_steps",
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}
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class TestTranspileSuccess:
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"""Every expression must transpile without a ``-- ERROR`` comment."""
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@pytest.mark.parametrize("mod_path", PIPE_MODULES, ids=_IDS)
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def test_no_errors(self, mod_path, all_transpiled):
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short = mod_path.split(".")[-1]
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sql_map = all_transpiled[short]
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errors = {
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name: sql
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for name, sql in sql_map.items()
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if sql.startswith("-- ERROR") and name not in _KNOWN_TRANSPILE_FAILURES
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}
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assert not errors, (
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f"{short}: {len(errors)} expression(s) failed to transpile:\n"
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+ "\n".join(f" {n}: {s}" for n, s in errors.items())
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)
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@pytest.mark.parametrize("mod_path", PIPE_MODULES, ids=_IDS)
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def test_known_recursion_issues_are_documented(self, mod_path, all_transpiled):
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"""Track known sqlglot recursion issues — fail if fixed upstream."""
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short = mod_path.split(".")[-1]
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sql_map = all_transpiled[short]
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fixed = {
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name
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for name in _KNOWN_TRANSPILE_FAILURES
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if name in sql_map and not sql_map[name].startswith("-- ERROR")
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}
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if fixed:
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pytest.fail(
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f"These expressions are no longer broken — remove from "
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f"_KNOWN_TRANSPILE_FAILURES: {fixed}"
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)
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# ── Test: every SQL parses as valid Databricks ────────────────────
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class TestValidDatabricksSQL:
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"""Every transpiled query must parse as valid Databricks SQL."""
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@pytest.mark.parametrize("mod_path", PIPE_MODULES, ids=_IDS)
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def test_all_parse_as_databricks(self, mod_path, all_transpiled):
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short = mod_path.split(".")[-1]
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sql_map = all_transpiled[short]
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failures = {}
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for name, sql in sql_map.items():
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if sql.startswith("-- ERROR"):
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continue
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try:
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tree = sqlglot.parse_one(sql, dialect="databricks")
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assert isinstance(tree, (exp.Select, exp.Union))
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except Exception as exc:
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failures[name] = str(exc)
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assert not failures, (
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f"{short}: {len(failures)} expression(s) not valid Databricks SQL:\n"
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+ "\n".join(f" {n}: {e}" for n, e in failures.items())
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)
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# ── Test: all table refs carry the catalog prefix ─────────────────
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class TestCatalogReferences:
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"""All table references must use 3-level catalog.schema.table."""
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@pytest.mark.parametrize("mod_path", PIPE_MODULES, ids=_IDS)
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def test_all_tables_have_catalog(self, mod_path, all_transpiled):
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short = mod_path.split(".")[-1]
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sql_map = all_transpiled[short]
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missing = []
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for name, sql in sql_map.items():
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if sql.startswith("-- ERROR"):
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continue
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try:
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tree = sqlglot.parse_one(sql, dialect="databricks")
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except Exception:
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continue
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for table in tree.find_all(exp.Table):
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if not table.name or not table.db:
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continue
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if not table.catalog:
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missing.append(f"{name}: {table.db}.{table.name} missing catalog")
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assert not missing, f"{short}: table refs without catalog:\n" + "\n".join(
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f" {m}" for m in missing
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)
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@pytest.mark.parametrize("mod_path", PIPE_MODULES, ids=_IDS)
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def test_catalog_value_is_correct(self, mod_path, all_transpiled):
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short = mod_path.split(".")[-1]
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sql_map = all_transpiled[short]
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wrong = []
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for name, sql in sql_map.items():
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if sql.startswith("-- ERROR"):
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continue
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try:
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tree = sqlglot.parse_one(sql, dialect="databricks")
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except Exception:
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continue
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for table in tree.find_all(exp.Table):
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if table.catalog and table.catalog != CATALOG:
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wrong.append(f"{name}: expected {CATALOG!r}, got {table.catalog!r}")
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assert not wrong, f"{short}: wrong catalog values:\n" + "\n".join(
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f" {w}" for w in wrong
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)
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# ── Test: output modes wrap SQL correctly ─────────────────────────
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class TestOutputModes:
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"""Verify insert, ctas, and view modes produce correct wrappers."""
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@pytest.fixture(scope="class")
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def core_insert(self):
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return transpile(
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_load_pipeline("aco.pipe.core"),
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target_dialect="databricks",
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catalog=CATALOG,
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output_mode="insert",
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)
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@pytest.fixture(scope="class")
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def core_ctas(self):
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return transpile(
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_load_pipeline("aco.pipe.core"),
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target_dialect="databricks",
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catalog=CATALOG,
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output_mode="ctas",
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)
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@pytest.fixture(scope="class")
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def core_view(self):
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return transpile(
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_load_pipeline("aco.pipe.core"),
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target_dialect="databricks",
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catalog=CATALOG,
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output_mode="view",
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)
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def test_insert_starts_correctly(self, core_insert):
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for name, sql in core_insert.items():
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if sql.startswith("-- ERROR"):
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continue
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assert sql.startswith("INSERT INTO"), (
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f"{name}: expected INSERT INTO, got {sql[:40]!r}"
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)
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def test_insert_target_has_catalog(self, core_insert):
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for name, sql in core_insert.items():
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if sql.startswith("-- ERROR"):
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continue
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assert f"INSERT INTO {CATALOG}." in sql, (
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f"{name}: INSERT target missing catalog"
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)
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def test_ctas_starts_correctly(self, core_ctas):
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for name, sql in core_ctas.items():
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if sql.startswith("-- ERROR"):
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continue
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assert sql.startswith("CREATE OR REPLACE TABLE"), (
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f"{name}: expected CTAS, got {sql[:50]!r}"
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)
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def test_view_starts_correctly(self, core_view):
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for name, sql in core_view.items():
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if sql.startswith("-- ERROR"):
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continue
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assert sql.startswith("CREATE OR REPLACE VIEW"), (
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f"{name}: expected VIEW, got {sql[:50]!r}"
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)
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# ── Test: no temp view artifacts leak into output ─────────────────
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class TestNoTempViewLeaks:
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"""Transpiled SQL must not contain DuckDB temp view names."""
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@pytest.mark.parametrize("mod_path", PIPE_MODULES, ids=_IDS)
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def test_no_tv_prefix_in_sql(self, mod_path, all_transpiled):
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short = mod_path.split(".")[-1]
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sql_map = all_transpiled[short]
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leaks = []
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for name, sql in sql_map.items():
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if sql.startswith("-- ERROR"):
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continue
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if "_tv_" in sql:
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leaks.append(name)
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assert not leaks, f"{short}: temp view names leaked in: {leaks}"
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@pytest.mark.parametrize("mod_path", PIPE_MODULES, ids=_IDS)
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def test_no_unnamed_relation_in_sql(self, mod_path, all_transpiled):
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short = mod_path.split(".")[-1]
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sql_map = all_transpiled[short]
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leaks = []
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for name, sql in sql_map.items():
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if sql.startswith("-- ERROR"):
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continue
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if "unnamed_relation" in sql:
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leaks.append(name)
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assert not leaks, f"{short}: unnamed_relation artifacts in: {leaks}"
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