# "branch":"dev"}},
},
"resources": {
"metadata_root": {
"config": {
"env": "METADATA"
}
},
},
}
@dg.pipeline(
mode_defs=[
dg.ModeDefinition(resource_defs={
"pandas_csv": df_csv_io_manager,
"metadata_root": csv_root_input,
})
],
preset_defs=[
dg.PresetDefinition(
"default",
run_config=preset,
mode="default",
)
],
)
def images_pipeline():
files = file_picker()
to_tag = file_dispatcher(files=files)
images_df = create_images_df(files=files)
ok = update_metadata(df=images_df)
metadata_new["SSID"] = metadata_new["SSID"].astype(
np.float).astype("Int32")
return metadata_new.set_index("Source ID")
################ PIPELINE ##################
@dg.pipeline(
mode_defs=[
dg.ModeDefinition(
name="default",
resource_defs={
"pandas_csv": df_csv_io_manager,
"cumulus_root": csv_root_input,
"jstor_root": xls_root_input,
"wikidata_root": csv_root_input,
"portals_root": csv_root_input,
"camera_root": geojson_root_input,
"images_root": csv_root_input,
},
)
],
preset_defs=[
dg.PresetDefinition(
"default",
run_config=preset,
mode="default",
)
],
)
def metadata_pipeline():
# "config":{
# "commit":"API Portals",
# "branch":"dev"}},
},
"resources": {"metadata_root": {"config": {"env": "METADATA"}}},
}
################ PIPELINE ##################
@dg.pipeline(
mode_defs=[
dg.ModeDefinition(
name="default",
resource_defs={
"pandas_csv": df_csv_io_manager,
"metadata_root": csv_root_input,
},
),
],
preset_defs=[
dg.PresetDefinition(
"default",
run_config=preset,
mode="default",
),
dg.PresetDefinition(
"preset_omeka",
run_config=preset_omeka,
solid_selection=["query_omeka", "omeka_dataframe", "update_metadata","push_new_data"],
mode="default",
default = {
"resources": {
"metadata_root": {"config": {"env": "METADATA"}},
"mapping_root": {"config": {"env": "MAPPING"}},
"iiif_manager": {"config": {"s3_bucket": "imaginerio-images"}},
},
}
@dg.pipeline(
mode_defs=[
dg.ModeDefinition(
name="prod",
resource_defs={
"metadata_root": csv_root_input,
"mapping_root": csv_root_input,
"iiif_manager": s3_io_manager,
"s3": s3_resource,
},
),
dg.ModeDefinition(
name="test",
resource_defs={
"metadata_root": csv_root_input,
"mapping_root": csv_root_input,
"iiif_manager": json_local_io_manager,
},
),
],
preset_defs=[
dg.PresetDefinition(
},
# "push_new_data": {"config": "dashboard"},
},
}
@dg.pipeline(
mode_defs=[
dg.ModeDefinition(
name="default",
resource_defs={
"pandas_csv": df_csv_io_manager,
"metadata_root": csv_root_input,
"smapshot_root": csv_root_input,
"cumulus_root": csv_root_input,
"wikidata_root": csv_root_input,
"camera_root": geojson_root_input,
"images_root": csv_root_input,
"omeka_root": csv_root_input,
"mapping_root": csv_root_input,
"portals_root": csv_root_input,
},
)
],
preset_defs=[
dg.PresetDefinition(
"default",
run_config=preset,
mode="default",
),
dg.PresetDefinition(
mode_local = dagster.ModeDefinition(
name='local',
resource_defs={
'database': resources.postgres_database,
'datalake': resources.datalake,
'pyspark_step_launcher': no_step_launcher,
'pyspark': dagster_pyspark.pyspark_resource.configured({'spark_conf': {
'spark.submit.pyFiles': dagster.file_relative_path(
__file__, '../../../../../packages/articles_aggregator-0.0.0-py3-none-any.whl'),
# 'spark.archives': dagster.file_relative_path(
# __file__, '../../../../../packages/pyspark_conda_env.tar.gz#environment'),
'spark.jars.packages': 'io.delta:delta-core_2.12:0.8.0',
'spark.sql.extensions': 'io.delta.sql.DeltaSparkSessionExtension',
'spark.sql.catalog.spark_catalog': 'org.apache.spark.sql.delta.catalog.DeltaCatalog',
'spark.sql.adaptive.enabled': 'true',
'spark.sql.execution.arrow.pyspark.enabled': 'true',
'spark.sql.execution.arrow.maxRecordsPerBatch': 1000, # because of text preprocessing job.
# 'spark.default.parallelism': 8,
'spark.jars': r'C:\Users\Tim\Programs\spark\gcs-connector-hadoop3-latest.jar',
'spark.hadoop.fs.gs.impl': 'com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem',
'spark.hadoop.fs.AbstractFileSystem.gs.impl': 'com.google.cloud.hadoop.fs.gcs.GoogleHadoopFS',
'spark.hadoop.google.cloud.auth.service.account.enable': 'true',
'spark.hadoop.google.cloud.auth.service.account.json.keyfile':
dagster.file_relative_path(__file__, '../../../../../configs/gcs_keyfile.json'),
# 'spark.executor.instances': 1,
# 'spark.executor.cores': 2,
# 'spark.executor.memory': '1g',
'spark.driver.memory': '8g',
}}),
}
)
# "branch":"dev"
# }},
},
"resources": {
"metadata_root": {"config": {"env": "METADATA"}},
"cumulus_root": {"config": {"env": "CUMULUS"}}},
}
@dg.pipeline(
mode_defs=[
dg.ModeDefinition(
name="default",
resource_defs={
"geojson": geojson_io_manager,
"pandas_csv": df_csv_io_manager,
"metadata_root": csv_root_input,
"cumulus_root": csv_root_input
}
)
],
preset_defs=[
dg.PresetDefinition(
"default",
run_config=preset,
mode="default",
)
],
)
def camera_pipeline():