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test_artifacts.py
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150 lines (110 loc) · 5.1 KB
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from datetime import datetime
import pytest
from dbt_flags import set_flags
from dbt_project import DbtProject
TEST_MODEL = "one"
def read_model_artifact_row(dbt_project: DbtProject):
return dbt_project.read_table("dbt_models", where=f"alias = '{TEST_MODEL}'")[0]
@pytest.mark.requires_dbt_version("1.4.0")
def test_artifacts_caching(dbt_project: DbtProject):
# Disabled by default in the tests for performance reasons.
dbt_project.dbt_runner.vars["disable_dbt_artifacts_autoupload"] = False
dbt_project.dbt_runner.run(select=TEST_MODEL, vars={"one_tags": ["hello", "world"]})
first_row = read_model_artifact_row(dbt_project)
dbt_project.dbt_runner.run(select=TEST_MODEL, vars={"one_tags": ["world", "hello"]})
second_row = read_model_artifact_row(dbt_project)
assert first_row == second_row, "Artifacts are not cached at the on-run-end."
def test_artifacts_updating(dbt_project: DbtProject):
# Disabled by default in the tests for performance reasons.
dbt_project.dbt_runner.vars["disable_dbt_artifacts_autoupload"] = False
dbt_project.dbt_runner.run(select=TEST_MODEL)
first_row = read_model_artifact_row(dbt_project)
dbt_project.dbt_runner.run(select=TEST_MODEL, vars={"one_owner": "ele"})
second_row = read_model_artifact_row(dbt_project)
assert first_row != second_row, "Artifacts are not updated at the on-run-end."
def test_artifacts_collection_in_multiple_row_batches(dbt_project: DbtProject):
existing_artifacts = dbt_project.read_table("dbt_models")
dbt_project.dbt_runner.vars[
"query_max_size"
] = 5000 # small value to force multiple batches
dbt_project.dbt_runner.vars[
"cache_artifacts"
] = False # force artifacts to be recollected
dbt_project.dbt_runner.run(select="dbt_models")
new_artifacts = dbt_project.read_table("dbt_models")
assert len(existing_artifacts) == len(new_artifacts)
def test_dbt_invocations(dbt_project: DbtProject):
dbt_project.dbt_runner.vars["disable_dbt_invocation_autoupload"] = False
dbt_project.dbt_runner.run(selector="one")
dbt_project.read_table(
"dbt_invocations", where="yaml_selector = 'one'", raise_if_empty=True
)
def test_seed_run_results(dbt_project: DbtProject):
dbt_project.read_table("seed_run_results", raise_if_empty=False)
def test_job_run_results(dbt_project: DbtProject):
dbt_project.read_table("job_run_results", raise_if_empty=False)
def test_model_run_results(dbt_project: DbtProject):
dbt_project.read_table("model_run_results", raise_if_empty=False)
def test_snapshot_run_results(dbt_project: DbtProject):
dbt_project.read_table("snapshot_run_results", raise_if_empty=False)
def test_monitors_runs(dbt_project: DbtProject):
dbt_project.read_table("monitors_runs", raise_if_empty=False)
def test_dbt_artifacts_hashes(dbt_project: DbtProject):
dbt_project.read_table("dbt_artifacts_hashes", raise_if_empty=False)
@pytest.mark.skip_targets(["clickhouse"])
def test_anomaly_threshold_sensitivity(dbt_project: DbtProject):
dbt_project.read_table("anomaly_threshold_sensitivity", raise_if_empty=False)
@pytest.mark.skip_targets(["clickhouse"])
def test_metrics_anomaly_score(dbt_project: DbtProject):
dbt_project.read_table("metrics_anomaly_score", raise_if_empty=False)
@pytest.mark.requires_dbt_version("1.8.0")
def test_source_freshness_results(test_id: str, dbt_project: DbtProject):
source_config = {
"version": 2,
"sources": [
{
"name": "test_source",
"database": "{{target.database if target.type != 'clickhouse' else target.schema}}",
"schema": "{{target.schema}}",
"tables": [
{
"name": test_id,
"loaded_at_field": '"UPDATE_TIME"::timestamp',
"freshness": {
"warn_after": {
"count": 1,
"period": "hour",
},
},
}
],
}
],
}
dbt_project.seed(
[
{
"UPDATE_TIME": datetime.now(),
}
],
test_id,
)
dbt_project.dbt_runner.vars["disable_freshness_results"] = False
with dbt_project.write_yaml(content=source_config), set_flags(
dbt_project, {"source_freshness_run_project_hooks": True}
):
dbt_project.dbt_runner.source_freshness()
dbt_project.read_table(
"dbt_source_freshness_results",
where=f"unique_id = 'source.elementary_tests.test_source.{test_id}'",
raise_if_empty=True,
)
def test_timings(dbt_project: DbtProject):
dbt_project.dbt_runner.vars["disable_dbt_artifacts_autoupload"] = False
dbt_project.dbt_runner.vars["disable_run_results"] = False
dbt_project.dbt_runner.run(select=TEST_MODEL)
results = dbt_project.run_query(
"""select * from {{ ref("dbt_run_results") }} where name='%s'""" % TEST_MODEL
)
assert len(results) == 1
assert results[0]["execute_started_at"]