def materialize(_):
yield AssetMaterialization(
asset_key="all_types",
description="a materialization with all metadata types",
metadata_entries=[
MetadataEntry.text("text is cool", "text"),
MetadataEntry.url("https://bigty.pe/neato", "url"),
MetadataEntry.fspath("/tmp/awesome", "path"),
MetadataEntry.json({"is_dope": True}, "json"),
MetadataEntry.python_artifact(MetadataEntry, "python class"),
MetadataEntry.python_artifact(file_relative_path,
"python function"),
MetadataEntry.float(1.2, "float"),
MetadataEntry.int(1, "int"),
MetadataEntry.float(float("nan"), "float NaN"),
MetadataEntry.int(LONG_INT, "long int"),
MetadataEntry.pipeline_run("fake_run_id", "pipeline run"),
MetadataEntry.asset(AssetKey("my_asset"), "my asset"),
MetadataEntry.table(
label="table",
records=[
TableRecord(foo=1, bar=2),
TableRecord(foo=3, bar=4),
],
),
MetadataEntry.table_schema(
label="table_schema",
schema=TableSchema(
columns=[
TableColumn(
name="foo",
type="integer",
constraints=TableColumnConstraints(
unique=True),
),
TableColumn(name="bar", type="string"),
],
constraints=TableConstraints(other=["some constraint"
], ),
),
),
],
)
yield Output(None)
def backcompat_materialize(_):
yield Materialization(
asset_key="all_types",
description="a materialization with all metadata types",
metadata_entries=[
MetadataEntry.text("text is cool", "text"),
MetadataEntry.url("https://bigty.pe/neato", "url"),
MetadataEntry.fspath("/tmp/awesome", "path"),
MetadataEntry.json({"is_dope": True}, "json"),
MetadataEntry.python_artifact(MetadataEntry, "python class"),
MetadataEntry.python_artifact(file_relative_path,
"python function"),
MetadataEntry.float(1.2, "float"),
MetadataEntry.int(1, "int"),
MetadataEntry.float(float("nan"), "float NaN"),
MetadataEntry.int(LONG_INT, "long int"),
MetadataEntry.pipeline_run("fake_run_id", "pipeline run"),
MetadataEntry.asset(AssetKey("my_asset"), "my asset"),
],
)
yield Output(None)