mirror of
https://github.com/open-metadata/OpenMetadata.git
synced 2025-11-04 04:29:13 +00:00
c68cfb0a20
https://github.com/looker-open-source/sdk-codegen/issues/1518 (cherry picked from commit 3c7f995677214fbc25c3c6c331f903105b48a0f9)
441 lines
14 KiB
Python
441 lines
14 KiB
Python
# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Python Dependencies
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"""
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from typing import Dict, List, Set
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from setuptools import setup
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# Add here versions required for multiple plugins
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VERSIONS = {
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"airflow": "apache-airflow==2.9.1",
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"adlfs": "adlfs>=2023.1.0",
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"avro": "avro>=1.11.3,<1.12",
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"boto3": "boto3>=1.20,<2.0", # No need to add botocore separately. It's a dep from boto3
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"geoalchemy2": "GeoAlchemy2~=0.12",
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"google-cloud-monitoring": "google-cloud-monitoring>=2.0.0",
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"google-cloud-storage": "google-cloud-storage==1.43.0",
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"gcsfs": "gcsfs>=2023.1.0",
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"great-expectations": "great-expectations>=0.18.0,<0.18.14",
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"grpc-tools": "grpcio-tools>=1.47.2",
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"msal": "msal~=1.2",
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"neo4j": "neo4j~=5.3.0",
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"pandas": "pandas~=2.0.0",
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"pyarrow": "pyarrow~=16.0",
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"pydantic": "pydantic~=2.0",
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"pydomo": "pydomo~=0.3",
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"pymysql": "pymysql~=1.0",
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"pyodbc": "pyodbc>=4.0.35,<5",
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"numpy": "numpy<2",
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"scikit-learn": "scikit-learn~=1.0", # Python 3.7 only goes up to 1.0.2
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"packaging": "packaging",
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"azure-storage-blob": "azure-storage-blob~=12.14",
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"azure-identity": "azure-identity~=1.12",
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"sqlalchemy-databricks": "sqlalchemy-databricks~=0.1",
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"databricks-sdk": "databricks-sdk>=0.18.0,<0.20.0",
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"trino": "trino[sqlalchemy]",
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"spacy": "spacy<3.8",
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"looker-sdk": "looker-sdk>=22.20.0,!=24.18.0",
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"lkml": "lkml~=1.3",
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"tableau": "tableau-api-lib~=0.1",
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"pyhive": "pyhive[hive_pure_sasl]~=0.7",
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"mongo": "pymongo~=4.3",
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"redshift": "sqlalchemy-redshift==0.8.12",
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"snowflake": "snowflake-sqlalchemy~=1.4",
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"elasticsearch8": "elasticsearch8~=8.9.0",
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"giturlparse": "giturlparse",
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"validators": "validators~=0.22.0",
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"teradata": "teradatasqlalchemy>=20.0.0.0",
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}
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COMMONS = {
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"datalake": {
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VERSIONS["avro"],
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VERSIONS["boto3"],
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VERSIONS["pandas"],
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VERSIONS["pyarrow"],
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VERSIONS["numpy"],
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# python-snappy does not work well on 3.11 https://github.com/aio-libs/aiokafka/discussions/931
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# Using this as an alternative
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"cramjam~=2.7",
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},
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"hive": {
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"presto-types-parser>=0.0.2",
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VERSIONS["pyhive"],
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},
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"kafka": {
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VERSIONS["avro"],
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"confluent_kafka==2.1.1",
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"fastavro>=1.2.0",
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# Due to https://github.com/grpc/grpc/issues/30843#issuecomment-1303816925
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# use >= v1.47.2 https://github.com/grpc/grpc/blob/v1.47.2/tools/distrib/python/grpcio_tools/grpc_version.py#L17
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VERSIONS[
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"grpc-tools"
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], # grpcio-tools already depends on grpcio. No need to add separately
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"protobuf",
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},
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"postgres": {
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VERSIONS["pymysql"],
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"psycopg2-binary",
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VERSIONS["geoalchemy2"],
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VERSIONS["packaging"],
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}, # Adding as Postgres SQL & GreenPlum are using common packages.
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}
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DATA_DIFF = {
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driver: f"collate-data-diff[{driver}]"
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# data-diff uses different drivers out-of-the-box than OpenMetadata
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# the exrtas are described here:
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# https://github.com/open-metadata/collate-data-diff/blob/main/pyproject.toml#L68
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# install all data diffs with "pip install collate-data-diff[all-dbs]"
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for driver in [
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"clickhouse",
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# "duckdb", # Not supported by OpenMetadata
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"mssql",
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"mysql",
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"oracle",
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# "postgresql", we dont use this as it installs psycopg2 which interferes with psycopg2-binary
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"presto",
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"redshift",
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"snowflake",
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"trino",
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"vertica",
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]
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}
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base_requirements = {
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"antlr4-python3-runtime==4.9.2",
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VERSIONS["azure-identity"],
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"azure-keyvault-secrets", # Azure Key Vault SM
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VERSIONS["boto3"], # Required in base for the secrets manager
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"cached-property==1.5.2", # LineageParser
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"chardet==4.0.0", # Used in the profiler
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"cryptography>=42.0.0",
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"google-cloud-secret-manager==2.19.0",
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"google-crc32c",
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"email-validator>=2.0", # For the pydantic generated models for Email
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"importlib-metadata>=4.13.0", # From airflow constraints
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"Jinja2>=2.11.3",
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"jsonpatch<2.0, >=1.24",
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"memory-profiler",
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"mypy_extensions>=0.4.3",
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VERSIONS["pydantic"],
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VERSIONS["pymysql"],
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"python-dateutil>=2.8.1",
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"PyYAML~=6.0",
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"requests>=2.23",
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"requests-aws4auth~=1.1", # Only depends on requests as external package. Leaving as base.
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"sqlalchemy>=1.4.0,<2",
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"collate-sqllineage~=1.4.0",
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"tabulate==0.9.0",
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"typing-inspect",
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"packaging", # For version parsing
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}
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plugins: Dict[str, Set[str]] = {
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"airflow": {
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VERSIONS["airflow"],
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"attrs",
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}, # Same as ingestion container. For development.
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"amundsen": {VERSIONS["neo4j"]},
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"athena": {"pyathena~=3.0"},
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"atlas": {},
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"azuresql": {VERSIONS["pyodbc"]},
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"azure-sso": {VERSIONS["msal"]},
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"backup": {VERSIONS["boto3"], VERSIONS["azure-identity"], "azure-storage-blob"},
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"bigquery": {
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"cachetools",
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"google-cloud-datacatalog>=3.6.2",
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"google-cloud-logging",
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VERSIONS["pyarrow"],
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VERSIONS["numpy"],
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"sqlalchemy-bigquery>=1.2.2",
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},
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"bigtable": {"google-cloud-bigtable>=2.0.0", VERSIONS["pandas"], VERSIONS["numpy"]},
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"clickhouse": {
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"clickhouse-driver~=0.2",
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"clickhouse-sqlalchemy~=0.2",
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DATA_DIFF["clickhouse"],
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},
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"dagster": {
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"croniter<3",
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VERSIONS["pymysql"],
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"psycopg2-binary",
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VERSIONS["geoalchemy2"],
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"dagster_graphql~=1.1",
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},
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"dbt": {
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"google-cloud",
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VERSIONS["boto3"],
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VERSIONS["google-cloud-storage"],
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"dbt-artifacts-parser",
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VERSIONS["azure-storage-blob"],
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VERSIONS["azure-identity"],
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},
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"db2": {"ibm-db-sa~=0.4.1", "ibm-db>=2.0.0"},
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"db2-ibmi": {"sqlalchemy-ibmi~=0.9.3"},
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"databricks": {
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VERSIONS["sqlalchemy-databricks"],
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VERSIONS["databricks-sdk"],
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"ndg-httpsclient~=0.5.1",
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"pyOpenSSL~=24.1.0",
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"pyasn1~=0.6.0",
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# databricks has a dependency on pyhive for metadata as well as profiler
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VERSIONS["pyhive"],
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},
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"datalake-azure": {
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VERSIONS["azure-storage-blob"],
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VERSIONS["azure-identity"],
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VERSIONS["adlfs"],
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*COMMONS["datalake"],
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},
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"datalake-gcs": {
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VERSIONS["google-cloud-monitoring"],
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VERSIONS["google-cloud-storage"],
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VERSIONS["gcsfs"],
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*COMMONS["datalake"],
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},
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"datalake-s3": {
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# requires aiobotocore
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# https://github.com/fsspec/s3fs/blob/9bf99f763edaf7026318e150c4bd3a8d18bb3a00/requirements.txt#L1
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# however, the latest version of `s3fs` conflicts its `aiobotocore` dep with `boto3`'s dep on `botocore`.
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# Leaving this marked to the automatic resolution to speed up installation.
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"s3fs",
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*COMMONS["datalake"],
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},
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"deltalake": {"delta-spark<=2.3.0", "deltalake~=0.17"},
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"deltalake-storage": {"deltalake~=0.17"},
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"deltalake-spark": {"delta-spark<=2.3.0"},
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"domo": {VERSIONS["pydomo"]},
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"doris": {"pydoris==1.0.2"},
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"druid": {"pydruid>=0.6.5"},
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"dynamodb": {VERSIONS["boto3"]},
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"elasticsearch": {
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VERSIONS["elasticsearch8"],
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}, # also requires requests-aws4auth which is in base
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"glue": {VERSIONS["boto3"]},
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"great-expectations": {VERSIONS["great-expectations"]},
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"greenplum": {*COMMONS["postgres"]},
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"hive": {
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*COMMONS["hive"],
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"thrift>=0.13,<1",
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# Replacing sasl with pure-sasl based on https://github.com/cloudera/python-sasl/issues/30 for py 3.11
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"pure-sasl",
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"thrift-sasl~=0.4",
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"impyla~=0.18.0",
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},
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"iceberg": {
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"pyiceberg==0.5.1",
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# Forcing the version of a few packages so it plays nicely with other requirements.
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VERSIONS["pydantic"],
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VERSIONS["adlfs"],
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VERSIONS["gcsfs"],
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VERSIONS["pyarrow"],
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},
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"impala": {
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"presto-types-parser>=0.0.2",
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"impyla[kerberos]~=0.18.0",
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"thrift>=0.13,<1",
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"pure-sasl",
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"thrift-sasl~=0.4",
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},
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"kafka": {*COMMONS["kafka"]},
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"kafkaconnect": {"kafka-connect-py==0.10.11"},
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"kinesis": {VERSIONS["boto3"]},
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"looker": {
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VERSIONS["looker-sdk"],
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VERSIONS["lkml"],
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"gitpython~=3.1.34",
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VERSIONS["giturlparse"],
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},
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"mlflow": {"mlflow-skinny>=2.3.0"},
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"mongo": {VERSIONS["mongo"], VERSIONS["pandas"], VERSIONS["numpy"]},
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"couchbase": {"couchbase~=4.1"},
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"mssql": {
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"sqlalchemy-pytds~=0.3",
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DATA_DIFF["mssql"],
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},
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"mssql-odbc": {
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VERSIONS["pyodbc"],
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DATA_DIFF["mssql"],
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},
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"mysql": {
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VERSIONS["pymysql"],
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DATA_DIFF["mysql"],
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},
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"nifi": {}, # uses requests
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"openlineage": {*COMMONS["kafka"]},
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"oracle": {"cx_Oracle>=8.3.0,<9", "oracledb~=1.2", DATA_DIFF["oracle"]},
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"pgspider": {"psycopg2-binary", "sqlalchemy-pgspider"},
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"pinotdb": {"pinotdb~=5.0"},
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"postgres": {*COMMONS["postgres"]},
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"powerbi": {
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VERSIONS["msal"],
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VERSIONS["boto3"],
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VERSIONS["google-cloud-storage"],
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VERSIONS["azure-storage-blob"],
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VERSIONS["azure-identity"],
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},
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"qliksense": {"websocket-client~=1.6.1"},
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"presto": {*COMMONS["hive"], DATA_DIFF["presto"]},
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"pymssql": {"pymssql~=2.2.0"},
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"quicksight": {VERSIONS["boto3"]},
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"redash": {VERSIONS["packaging"]},
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"redpanda": {*COMMONS["kafka"]},
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"redshift": {
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# Going higher has memory and performance issues
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VERSIONS["redshift"],
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"psycopg2-binary",
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VERSIONS["geoalchemy2"],
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},
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"mstr": {"mstr-rest-requests==0.14.1"},
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"sagemaker": {VERSIONS["boto3"]},
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"salesforce": {"simple_salesforce~=1.11"},
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"sample-data": {VERSIONS["avro"], VERSIONS["grpc-tools"]},
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"sap-hana": {"hdbcli", "sqlalchemy-hana"},
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"sas": {},
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"singlestore": {VERSIONS["pymysql"]},
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"sklearn": {VERSIONS["scikit-learn"]},
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"snowflake": {VERSIONS["snowflake"], DATA_DIFF["snowflake"]},
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"superset": {}, # uses requests
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"tableau": {VERSIONS["tableau"], VERSIONS["validators"], VERSIONS["packaging"]},
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"teradata": {VERSIONS["teradata"]},
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"trino": {VERSIONS["trino"], DATA_DIFF["trino"]},
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"vertica": {"sqlalchemy-vertica[vertica-python]>=0.0.5", DATA_DIFF["vertica"]},
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"pii-processor": {
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VERSIONS["spacy"],
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VERSIONS["pandas"],
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VERSIONS["numpy"],
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"presidio-analyzer==2.2.355",
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},
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}
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dev = {
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"black==22.3.0",
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"datamodel-code-generator==0.25.6",
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"boto3-stubs",
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"mypy-boto3-glue",
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"isort",
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"pre-commit",
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"pycln",
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"pylint~=3.0",
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# For publishing
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"twine",
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"build",
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*plugins["sample-data"],
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}
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test = {
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# Install Airflow as it's not part of `all` plugin
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VERSIONS["airflow"],
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"boto3-stubs",
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"mypy-boto3-glue",
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"coverage",
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# Install GE because it's not in the `all` plugin
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VERSIONS["great-expectations"],
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"moto~=5.0",
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"basedpyright~=1.14",
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"pytest==7.0.0",
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"pytest-cov",
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"pytest-order",
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# install dbt dependency
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"dbt-artifacts-parser",
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"freezegun",
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VERSIONS["sqlalchemy-databricks"],
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VERSIONS["databricks-sdk"],
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VERSIONS["scikit-learn"],
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VERSIONS["pyarrow"],
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VERSIONS["trino"],
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VERSIONS["spacy"],
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VERSIONS["pydomo"],
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VERSIONS["looker-sdk"],
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VERSIONS["lkml"],
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VERSIONS["tableau"],
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VERSIONS["pyhive"],
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VERSIONS["mongo"],
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VERSIONS["redshift"],
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VERSIONS["snowflake"],
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VERSIONS["elasticsearch8"],
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VERSIONS["giturlparse"],
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VERSIONS["avro"], # Sample Data
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VERSIONS["grpc-tools"],
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VERSIONS["neo4j"],
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"testcontainers==3.7.1;python_version<'3.9'",
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"testcontainers==4.8.0;python_version>='3.9'",
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"minio==7.2.5",
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*plugins["mlflow"],
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*plugins["datalake-s3"],
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*plugins["kafka"],
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"kafka-python==2.0.2",
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*plugins["pii-processor"],
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"requests==2.31.0",
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f"{DATA_DIFF['mysql']}==0.11.2",
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*plugins["deltalake"],
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*plugins["datalake-gcs"],
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*plugins["pgspider"],
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*plugins["clickhouse"],
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*plugins["mssql"],
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*plugins["dagster"],
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*plugins["oracle"],
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*plugins["mssql"],
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}
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e2e_test = {
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# playwright dependencies
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"pytest-playwright",
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"pytest-base-url",
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}
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extended_testing = {
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"Faker", # For Sample Data Generation
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}
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def filter_requirements(filtered: Set[str]) -> List[str]:
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"""Filter out requirements from base_requirements"""
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return list(
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base_requirements.union(
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*[
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requirements
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for plugin, requirements in plugins.items()
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if plugin not in filtered
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]
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)
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)
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setup(
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install_requires=list(base_requirements),
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extras_require={
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"base": list(base_requirements),
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"dev": list(dev),
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"test": list(test),
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"e2e_test": list(e2e_test),
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"extended_testing": list(extended_testing),
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"data-insight": list(plugins["elasticsearch"]),
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**{plugin: list(dependencies) for (plugin, dependencies) in plugins.items()},
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"all": filter_requirements({"airflow", "db2", "great-expectations"}),
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"slim": filter_requirements(
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{
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"airflow",
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"db2",
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"great-expectations",
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"deltalake",
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"deltalake-spark",
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"sklearn",
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}
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),
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},
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)
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