import os import sys from typing import Dict, Set import setuptools is_py37_or_newer = sys.version_info >= (3, 7) package_metadata: dict = {} with open("./src/datahub/__init__.py") as fp: exec(fp.read(), package_metadata) def get_long_description(): root = os.path.dirname(__file__) with open(os.path.join(root, "README.md")) as f: description = f.read() return description base_requirements = { # Compatibility. "dataclasses>=0.6; python_version < '3.7'", # Typing extension should be >=3.10.0.2 ideally but we can't restrict due to Airflow 2.0.2 dependency conflict "typing_extensions>=3.7.4.3 ; python_version < '3.8'", "typing_extensions>=3.10.0.2 ; python_version >= '3.8'", "mypy_extensions>=0.4.3", # Actual dependencies. "typing-inspect", "pydantic>=1.5.1", "mixpanel>=4.9.0", } framework_common = { "click>=6.0.0", "click-default-group", "PyYAML", "toml>=0.10.0", "entrypoints", "docker", "expandvars>=0.6.5", "avro-gen3==0.7.4", "avro>=1.10.2,<1.11", "python-dateutil>=2.8.0", "stackprinter", "tabulate", "progressbar2", "termcolor>=1.0.0", "types-termcolor>=1.0.0", "psutil>=5.8.0", "ratelimiter", # Markupsafe breaking change broke Jinja and some other libs # Pinning it to a version which works even though we are not using explicitly # https://github.com/aws/aws-sam-cli/issues/3661 # Airflow compatibility: https://github.com/apache/airflow/blob/2.2.2/setup.cfg#L125 "markupsafe>=1.1.1,<=2.0.1", "Deprecated", "types-Deprecated", "humanfriendly", "packaging", "aiohttp<4", } kafka_common = { # We currently require both Avro libraries. The codegen uses avro-python3 (above) # schema parsers at runtime for generating and reading JSON into Python objects. # At the same time, we use Kafka's AvroSerializer, which internally relies on # fastavro for serialization. We do not use confluent_kafka[avro], since it # is incompatible with its own dep on avro-python3. "confluent_kafka>=1.5.0,<1.9.0", "fastavro>=1.2.0", } kafka_protobuf = ( { "networkx>=2.6.2", # Required to generate protobuf python modules from the schema downloaded from the schema registry "grpcio==1.44.0", "grpcio-tools==1.44.0", "types-protobuf", } if is_py37_or_newer else { "types-protobuf", } ) sql_common = { # Required for all SQL sources. "sqlalchemy==1.3.24", # Required for SQL profiling. "great-expectations>=0.14.11,<0.15.3", # datahub does not depend on Jinja2 directly but great expectations does. With Jinja2 3.1.0 GE 0.14.11 is breaking "Jinja2<3.1.0", # datahub does not depend on traitlets directly but great expectations does. # https://github.com/ipython/traitlets/issues/741 "traitlets<5.2.2", "greenlet", } aws_common = { # AWS Python SDK "boto3", # Deal with a version incompatibility between botocore (used by boto3) and urllib3. # See https://github.com/boto/botocore/pull/2563. "botocore!=1.23.0", } path_spec_common = { "parse>=1.19.0", "wcmatch", } looker_common = { # Looker Python SDK "looker-sdk==22.2.1" } bigquery_common = { # Google cloud logging library "google-cloud-logging<3.1.2", "google-cloud-bigquery", "more-itertools>=8.12.0", # we do not use protobuf directly but newer version caused bigquery connector to fail "protobuf<=3.20.1", } redshift_common = { "sqlalchemy-redshift", "psycopg2-binary", "GeoAlchemy2", "sqllineage==1.3.5", *path_spec_common, } snowflake_common = { # Snowflake plugin utilizes sql common *sql_common, # Required for all Snowflake sources "snowflake-sqlalchemy<=1.2.4", "cryptography", "msal", } trino = { "trino>=0.308", "trino[sqlalchemy]>=0.308", } microsoft_common = {"msal==1.16.0"} data_lake_base = { *aws_common, "parse>=1.19.0", "pyarrow>=6.0.1", "tableschema>=1.20.2", "ujson>=4.3.0", "types-ujson>=4.2.1", "smart-open[s3]>=5.2.1", } data_lake_profiling = { "pydeequ==1.0.1", "pyspark==3.0.3", } iceberg_common = { # Iceberg Python SDK "acryl-iceberg-legacy==0.0.4", "azure-identity==1.10.0", } s3_base = {*data_lake_base, "moto[s3]", *path_spec_common} delta_lake = { *s3_base, "deltalake", } usage_common = { "sqlparse", } # Note: for all of these, framework_common will be added. plugins: Dict[str, Set[str]] = { # Sink plugins. "datahub-kafka": kafka_common, "datahub-rest": {"requests"}, # Integrations. "airflow": { "apache-airflow >= 1.10.2", }, "circuit-breaker": { "gql>=3.3.0", "gql[requests]>=3.3.0", }, "great-expectations": sql_common | {"sqllineage==1.3.5"}, # Source plugins # PyAthena is pinned with exact version because we use private method in PyAthena "athena": sql_common | {"PyAthena[SQLAlchemy]==2.4.1"}, "azure-ad": set(), "bigquery": sql_common | bigquery_common | {"sqlalchemy-bigquery>=1.4.1", "sqllineage==1.3.5", "sqlparse"}, "bigquery-usage": bigquery_common | usage_common | {"cachetools"}, "clickhouse": sql_common | {"clickhouse-sqlalchemy==0.1.8"}, "clickhouse-usage": sql_common | usage_common | { "clickhouse-sqlalchemy==0.1.8", }, "datahub-lineage-file": set(), "datahub-business-glossary": set(), "data-lake": {*data_lake_base, *data_lake_profiling}, "s3": {*s3_base, *data_lake_profiling}, "delta-lake": {*data_lake_profiling, *delta_lake}, "dbt": {"requests"} | aws_common, "druid": sql_common | {"pydruid>=0.6.2"}, # Starting with 7.14.0 python client is checking if it is connected to elasticsearch client. If its not it throws # UnsupportedProductError # https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/release-notes.html#rn-7-14-0 # https://github.com/elastic/elasticsearch-py/issues/1639#issuecomment-883587433 "elasticsearch": {"elasticsearch==7.13.4"}, "feast-legacy": {"docker"}, "feast": {"feast==0.18.0", "flask-openid>=1.3.0"}, "glue": aws_common, # hdbcli is supported officially by SAP, sqlalchemy-hana is built on top but not officially supported "hana": sql_common | { "sqlalchemy-hana>=0.5.0; platform_machine != 'aarch64' and platform_machine != 'arm64'", "hdbcli>=2.11.20; platform_machine != 'aarch64' and platform_machine != 'arm64'", }, "hive": sql_common | { # Acryl Data maintains a fork of PyHive # - 0.6.11 adds support for table comments and column comments, # and also releases HTTP and HTTPS transport schemes # - 0.6.12 adds support for Spark Thrift Server "acryl-pyhive[hive]>=0.6.13" }, "iceberg": iceberg_common, "kafka": {*kafka_common, *kafka_protobuf}, "kafka-connect": sql_common | {"requests", "JPype1"}, "ldap": {"python-ldap>=2.4"}, "looker": looker_common, # lkml>=1.1.2 is required to support the sql_preamble expression in LookML "lookml": looker_common | {"lkml>=1.1.2", "sql-metadata==2.2.2", "sqllineage==1.3.5"}, "metabase": {"requests", "sqllineage==1.3.5"}, "mode": {"requests", "sqllineage==1.3.5", "tenacity>=8.0.1"}, "mongodb": {"pymongo>=3.11", "packaging"}, "mssql": sql_common | {"sqlalchemy-pytds>=0.3"}, "mssql-odbc": sql_common | {"pyodbc"}, "mysql": sql_common | {"pymysql>=1.0.2"}, # mariadb should have same dependency as mysql "mariadb": sql_common | {"pymysql>=1.0.2"}, "okta": {"okta~=1.7.0"}, "oracle": sql_common | {"cx_Oracle"}, "postgres": sql_common | {"psycopg2-binary", "GeoAlchemy2"}, "presto-on-hive": sql_common | {"psycopg2-binary", "acryl-pyhive[hive]>=0.6.12", "pymysql>=1.0.2"}, "pulsar": {"requests"}, "redash": {"redash-toolbelt", "sql-metadata", "sqllineage==1.3.5"}, "redshift": sql_common | redshift_common, "redshift-usage": sql_common | usage_common | redshift_common, "sagemaker": aws_common, "salesforce": {"simple-salesforce"}, "snowflake": snowflake_common, "snowflake-usage": snowflake_common | usage_common | { "more-itertools>=8.12.0", }, "sqlalchemy": sql_common, "superset": { "requests", "sqlalchemy", "great_expectations", "greenlet", "Jinja2<3.1.0", }, "tableau": {"tableauserverclient>=0.17.0"}, "trino": sql_common | trino, "starburst-trino-usage": sql_common | usage_common | trino, "nifi": {"requests", "packaging"}, "powerbi": {"orderedset"} | microsoft_common, "vertica": sql_common | {"sqlalchemy-vertica[vertica-python]==0.0.5"}, } all_exclude_plugins: Set[str] = { # SQL Server ODBC requires additional drivers, and so we don't want to keep # it included in the default "all" installation. "mssql-odbc", } mypy_stubs = { "types-dataclasses", "sqlalchemy-stubs", "types-pkg_resources", "types-six", "types-python-dateutil", "types-requests", "types-toml", "types-PyMySQL", "types-PyYAML", "types-freezegun", "types-cachetools", # versions 0.1.13 and 0.1.14 seem to have issues "types-click==0.1.12", "boto3-stubs[s3,glue,sagemaker]", "types-tabulate", # avrogen package requires this "types-pytz", "types-pyOpenSSL", } base_dev_requirements = { *base_requirements, *framework_common, *mypy_stubs, *s3_base, "black>=21.12b0", "coverage>=5.1", "flake8>=3.8.3", "flake8-tidy-imports>=4.3.0", "isort>=5.7.0", "mypy>=0.920", # pydantic 1.8.2 is incompatible with mypy 0.910. # See https://github.com/samuelcolvin/pydantic/pull/3175#issuecomment-995382910. "pydantic>=1.9.0", "pytest>=6.2.2", "pytest-asyncio>=0.16.0", "pytest-cov>=2.8.1", "pytest-docker>=0.10.3,<0.12", "deepdiff", "requests-mock", "freezegun", "jsonpickle", "build", "twine", *list( dependency for plugin in [ "bigquery", "bigquery-usage", "clickhouse", "clickhouse-usage", "delta-lake", "druid", "elasticsearch", "ldap", "looker", "glue", "mariadb", "okta", "oracle", "postgres", "sagemaker", "kafka", "datahub-rest", "redash", "redshift", "redshift-usage", "data-lake", "s3", "tableau", "trino", "hive", "starburst-trino-usage", "powerbi", "vertica", "salesforce" # airflow is added below ] for dependency in plugins[plugin] ), } base_dev_requirements_airflow_1 = base_dev_requirements.copy() if is_py37_or_newer: # These plugins only work on Python 3.7 or newer. base_dev_requirements = base_dev_requirements.union( { dependency for plugin in [ "feast", "iceberg", "lookml", ] for dependency in plugins[plugin] } ) # These plugins are compatible with Airflow 1. base_dev_requirements_airflow_1 = base_dev_requirements_airflow_1.union( { dependency for plugin in [ "iceberg", "lookml", ] for dependency in plugins[plugin] } ) dev_requirements = { *base_dev_requirements, "apache-airflow[snowflake]>=2.0.2", # snowflake is used in example dags "snowflake-sqlalchemy<=1.2.4", # make constraint consistent with extras } dev_requirements_airflow_1_base = { "apache-airflow==1.10.15", "apache-airflow-backport-providers-snowflake", "snowflake-sqlalchemy<=1.2.4", # make constraint consistent with extras "WTForms==2.3.3", # make constraint consistent with extras } dev_requirements_airflow_1 = { *base_dev_requirements_airflow_1, *dev_requirements_airflow_1_base, } full_test_dev_requirements = { *list( dependency for plugin in [ "circuit-breaker", "clickhouse", "druid", "feast-legacy", "hana", "hive", "kafka-connect", "ldap", "mongodb", "mssql", "mysql", "mariadb", "snowflake", "redash", "vertica", ] for dependency in plugins[plugin] ), } if is_py37_or_newer: # These plugins only work on Python 3.7 or newer. full_test_dev_requirements = full_test_dev_requirements.union( { dependency for plugin in [ "athena", "feast", "iceberg", ] for dependency in plugins[plugin] } ) entry_points = { "console_scripts": ["datahub = datahub.entrypoints:main"], "datahub.ingestion.source.plugins": [ "csv-enricher = datahub.ingestion.source.csv_enricher:CSVEnricherSource", "file = datahub.ingestion.source.file:GenericFileSource", "sqlalchemy = datahub.ingestion.source.sql.sql_generic:SQLAlchemyGenericSource", "athena = datahub.ingestion.source.sql.athena:AthenaSource", "azure-ad = datahub.ingestion.source.identity.azure_ad:AzureADSource", "bigquery = datahub.ingestion.source.sql.bigquery:BigQuerySource", "bigquery-usage = datahub.ingestion.source.usage.bigquery_usage:BigQueryUsageSource", "clickhouse = datahub.ingestion.source.sql.clickhouse:ClickHouseSource", "clickhouse-usage = datahub.ingestion.source.usage.clickhouse_usage:ClickHouseUsageSource", "data-lake = datahub.ingestion.source.data_lake:DataLakeSource", "delta-lake = datahub.ingestion.source.delta_lake:DeltaLakeSource", "s3 = datahub.ingestion.source.s3:S3Source", "dbt = datahub.ingestion.source.dbt:DBTSource", "druid = datahub.ingestion.source.sql.druid:DruidSource", "elasticsearch = datahub.ingestion.source.elastic_search:ElasticsearchSource", "feast-legacy = datahub.ingestion.source.feast_legacy:FeastSource", "feast = datahub.ingestion.source.feast:FeastRepositorySource", "glue = datahub.ingestion.source.aws.glue:GlueSource", "sagemaker = datahub.ingestion.source.aws.sagemaker:SagemakerSource", "hana = datahub.ingestion.source.sql.hana:HanaSource", "hive = datahub.ingestion.source.sql.hive:HiveSource", "kafka = datahub.ingestion.source.kafka:KafkaSource", "kafka-connect = datahub.ingestion.source.kafka_connect:KafkaConnectSource", "ldap = datahub.ingestion.source.ldap:LDAPSource", "looker = datahub.ingestion.source.looker:LookerDashboardSource", "lookml = datahub.ingestion.source.lookml:LookMLSource", "datahub-lineage-file = datahub.ingestion.source.metadata.lineage:LineageFileSource", "datahub-business-glossary = datahub.ingestion.source.metadata.business_glossary:BusinessGlossaryFileSource", "mode = datahub.ingestion.source.mode:ModeSource", "mongodb = datahub.ingestion.source.mongodb:MongoDBSource", "mssql = datahub.ingestion.source.sql.mssql:SQLServerSource", "mysql = datahub.ingestion.source.sql.mysql:MySQLSource", "mariadb = datahub.ingestion.source.sql.mariadb.MariaDBSource", "okta = datahub.ingestion.source.identity.okta:OktaSource", "oracle = datahub.ingestion.source.sql.oracle:OracleSource", "postgres = datahub.ingestion.source.sql.postgres:PostgresSource", "redash = datahub.ingestion.source.redash:RedashSource", "redshift = datahub.ingestion.source.sql.redshift:RedshiftSource", "redshift-usage = datahub.ingestion.source.usage.redshift_usage:RedshiftUsageSource", "snowflake = datahub.ingestion.source.sql.snowflake:SnowflakeSource", "snowflake-usage = datahub.ingestion.source.usage.snowflake_usage:SnowflakeUsageSource", "superset = datahub.ingestion.source.superset:SupersetSource", "tableau = datahub.ingestion.source.tableau:TableauSource", "openapi = datahub.ingestion.source.openapi:OpenApiSource", "metabase = datahub.ingestion.source.metabase:MetabaseSource", "trino = datahub.ingestion.source.sql.trino:TrinoSource", "starburst-trino-usage = datahub.ingestion.source.usage.starburst_trino_usage:TrinoUsageSource", "nifi = datahub.ingestion.source.nifi:NifiSource", "powerbi = datahub.ingestion.source.powerbi:PowerBiDashboardSource", "iceberg = datahub.ingestion.source.iceberg.iceberg:IcebergSource", "vertica = datahub.ingestion.source.sql.vertica:VerticaSource", "presto-on-hive = datahub.ingestion.source.sql.presto_on_hive:PrestoOnHiveSource", "pulsar = datahub.ingestion.source.pulsar:PulsarSource", "salesforce = datahub.ingestion.source.salesforce:SalesforceSource", ], "datahub.ingestion.sink.plugins": [ "file = datahub.ingestion.sink.file:FileSink", "console = datahub.ingestion.sink.console:ConsoleSink", "datahub-kafka = datahub.ingestion.sink.datahub_kafka:DatahubKafkaSink", "datahub-rest = datahub.ingestion.sink.datahub_rest:DatahubRestSink", ], "datahub.ingestion.checkpointing_provider.plugins": [ "datahub = datahub.ingestion.source.state_provider.datahub_ingestion_checkpointing_provider:DatahubIngestionCheckpointingProvider", ], "datahub.ingestion.reporting_provider.plugins": [ "datahub = datahub.ingestion.reporting.datahub_ingestion_reporting_provider:DatahubIngestionReportingProvider", ], "apache_airflow_provider": ["provider_info=datahub_provider:get_provider_info"], } setuptools.setup( # Package metadata. name=package_metadata["__package_name__"], version=package_metadata["__version__"], url="https://datahubproject.io/", project_urls={ "Documentation": "https://datahubproject.io/docs/", "Source": "https://github.com/datahub-project/datahub", "Changelog": "https://github.com/datahub-project/datahub/releases", }, license="Apache License 2.0", description="A CLI to work with DataHub metadata", long_description=get_long_description(), long_description_content_type="text/markdown", classifiers=[ "Development Status :: 5 - Production/Stable", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: System Administrators", "License :: OSI Approved", "License :: OSI Approved :: Apache Software License", "Operating System :: Unix", "Operating System :: POSIX :: Linux", "Environment :: Console", "Environment :: MacOS X", "Topic :: Software Development", ], # Package info. zip_safe=False, python_requires=">=3.6", package_dir={"": "src"}, packages=setuptools.find_namespace_packages(where="./src"), package_data={ "datahub": ["py.typed"], "datahub.metadata": ["schema.avsc"], "datahub.metadata.schemas": ["*.avsc"], "datahub.ingestion.source.feast_image": ["Dockerfile", "requirements.txt"], }, entry_points=entry_points, # Dependencies. install_requires=list(base_requirements | framework_common), extras_require={ "base": list(framework_common), **{ plugin: list(framework_common | dependencies) for (plugin, dependencies) in plugins.items() }, "all": list( framework_common.union( *[ requirements for plugin, requirements in plugins.items() if plugin not in all_exclude_plugins ] ) ), "dev": list(dev_requirements), "dev-airflow1-base": list(dev_requirements_airflow_1_base), "dev-airflow1": list(dev_requirements_airflow_1), "integration-tests": list(full_test_dev_requirements), }, )