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# Copyright 2021 Collate
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Python Dependencies
"""
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import os
from typing import Dict, Set
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from setuptools import find_namespace_packages, setup
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def get_long_description():
root = os.path.dirname(__file__)
with open(os.path.join(root, "README.md"), encoding="UTF-8") as file:
description = file.read()
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return description
# Add here versions required for multiple plugins
VERSIONS = {
"airflow": "apache-airflow==2.6.3",
"avro": "avro~=1.11",
"boto3": "boto3>=1.20,<2.0", # No need to add botocore separately. It's a dep from boto3
"geoalchemy2": "GeoAlchemy2~=0.12",
"google-cloud-storage": "google-cloud-storage==1.43.0",
"great-expectations": "great-expectations~=0.17.0",
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"grpc-tools": "grpcio-tools>=1.47.2",
"msal": "msal~=1.2",
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"neo4j": "neo4j~=5.3.0",
"pandas": "pandas==1.3.5",
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"pyarrow": "pyarrow~=10.0",
"pydomo": "pydomo~=0.3",
"pymysql": "pymysql>=1.0.2",
"pyodbc": "pyodbc>=4.0.35,<5",
"scikit-learn": "scikit-learn~=1.0", # Python 3.7 only goes up to 1.0.2
"packaging": "packaging==21.3",
"azure-storage-blob": "azure-storage-blob~=12.14",
"azure-identity": "azure-identity~=1.12",
"sqlalchemy-databricks": "sqlalchemy-databricks~=0.1",
"databricks-sdk": "databricks-sdk~=0.1",
"google": "google>=3.0.0",
"trino": "trino[sqlalchemy]",
"spacy": "spacy==3.5.0",
"looker-sdk": "looker-sdk>=22.20.0",
"lkml": "lkml~=1.3",
"tableau": "tableau-api-lib~=0.1",
"pyhive": "pyhive~=0.6",
"mongo": "pymongo~=4.3",
"redshift": "sqlalchemy-redshift==0.8.12",
"snowflake": "snowflake-sqlalchemy~=1.4",
"elasticsearch8": "elasticsearch8~=8.9.0",
}
COMMONS = {
"datalake": {
VERSIONS["boto3"],
VERSIONS["pandas"],
VERSIONS["pyarrow"],
"python-snappy~=0.6.1",
},
"hive": {
"presto-types-parser>=0.0.2",
VERSIONS["pyhive"],
},
"kafka": {
VERSIONS["avro"],
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"confluent_kafka==2.1.1",
"fastavro>=1.2.0",
# 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
VERSIONS[
"grpc-tools"
], # grpcio-tools already depends on grpcio. No need to add separately
"protobuf",
},
}
# required library for pii tagging
pii_requirements = {
VERSIONS["spacy"],
VERSIONS["pandas"],
"presidio-analyzer==2.2.32",
}
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base_requirements = {
"antlr4-python3-runtime==4.9.2",
VERSIONS["avro"], # Used in sample data
VERSIONS["boto3"], # Required in base for the secrets manager
"cached-property==1.5.2",
"chardet==4.0.0",
"croniter~=1.3.0",
"cryptography",
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"commonregex",
"email-validator>=1.0.3",
VERSIONS["google"],
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"google-auth>=1.33.0",
VERSIONS["grpc-tools"], # Used in sample data
"idna<3,>=2.5",
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"importlib-metadata>=4.13.0", # From airflow constraints
"Jinja2>=2.11.3",
"jsonpatch==1.32",
"jsonschema",
"memory-profiler",
"mypy_extensions>=0.4.3",
"pydantic~=1.10",
VERSIONS["pymysql"],
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"python-dateutil>=2.8.1",
"python-jose~=3.3",
"PyYAML~=6.0",
"requests>=2.23",
"requests-aws4auth~=1.1", # Only depends on requests as external package. Leaving as base.
"setuptools~=66.0.0",
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"sqlalchemy>=1.4.0,<2",
"collate-sqllineage>=1.0.4",
"tabulate==0.9.0",
"typing-compat~=0.1.0", # compatibility requirements for 3.7
"typing_extensions<=4.5.0", # We need to have this fixed due to a yanked release 4.6.0
"typing-inspect",
"wheel~=0.38.4",
}
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plugins: Dict[str, Set[str]] = {
"airflow": {VERSIONS["airflow"]}, # Same as ingestion container. For development.
"amundsen": {VERSIONS["neo4j"]},
"athena": {"pyathena==2.25.2"},
"atlas": {},
"azuresql": {VERSIONS["pyodbc"]},
"azure-sso": {VERSIONS["msal"]},
"backup": {VERSIONS["boto3"], "azure-identity", "azure-storage-blob"},
"bigquery": {
"cachetools",
"google-cloud-datacatalog>=3.6.2",
"google-cloud-logging",
VERSIONS["pyarrow"],
"sqlalchemy-bigquery>=1.2.2",
},
"clickhouse": {"clickhouse-driver~=0.2", "clickhouse-sqlalchemy~=0.2"},
"dagster": {
VERSIONS["pymysql"],
"psycopg2-binary",
VERSIONS["geoalchemy2"],
"dagster_graphql~=1.1",
},
"dbt": {
"google-cloud",
VERSIONS["boto3"],
VERSIONS["google-cloud-storage"],
"dbt-artifacts-parser",
VERSIONS["azure-storage-blob"],
VERSIONS["azure-identity"],
},
"db2": {"ibm-db-sa~=0.3"},
"databricks": {VERSIONS["sqlalchemy-databricks"], VERSIONS["databricks-sdk"]},
"datalake-azure": {
VERSIONS["azure-storage-blob"],
VERSIONS["azure-identity"],
"adlfs>=2022.2.0", # Python 3.7 does only support up to 2022.2.0
*COMMONS["datalake"],
},
"datalake-gcs": {
VERSIONS["google-cloud-storage"],
"gcsfs==2022.11.0",
*COMMONS["datalake"],
},
"datalake-s3": {
# requires aiobotocore
# https://github.com/fsspec/s3fs/blob/9bf99f763edaf7026318e150c4bd3a8d18bb3a00/requirements.txt#L1
# however, the latest version of `s3fs` conflicts its `aiobotocore` dep with `boto3`'s dep on `botocore`.
# Leaving this marked to the automatic resolution to speed up installation.
"s3fs==0.4.2",
*COMMONS["datalake"],
},
"deltalake": {"delta-spark<=2.3.0"},
"docker": {"python_on_whales==0.55.0"},
"domo": {VERSIONS["pydomo"]},
"druid": {"pydruid>=0.6.5"},
"dynamodb": {VERSIONS["boto3"]},
"elasticsearch": {
"elasticsearch==7.13.1",
VERSIONS["elasticsearch8"],
}, # also requires requests-aws4auth which is in base
"glue": {VERSIONS["boto3"]},
"great-expectations": {VERSIONS["great-expectations"]},
"hive": {
*COMMONS["hive"],
"thrift>=0.13,<1",
"sasl~=0.3",
"thrift-sasl~=0.4",
"impyla~=0.18.0",
},
Impalaconnection (#11151) * updated metadata to work with the impala query engine. Uses the describe function to grab column names, data types, and comments. * added the ordinalPosition data point into the Column constructor. * renamed variable to better describe its usage. * updated profile errors. Hive connections now comment columns by default. * removed print statements * Cleaned up code by pulling check into its own function * Updated median function to return null when it is being used for first and third quartiles. * updated metadata to work with the impala query engine. Uses the describe function to grab column names, data types, and comments. * added the ordinalPosition data point into the Column constructor. * renamed variable to better describe its usage. * updated profile errors. Hive connections now comment columns by default. * removed print statements * Cleaned up code by pulling check into its own function * Updated median function to return null when it is being used for first and third quartiles. * removed print statements and ran make py_format * updated to fix some pylint errors. imported Dialects to remove string compare to "impala" engine * moved huge comment into function docstring. This comment shows us the sql to get quartiles in Impala * added cast to decimal for column when running average in mean.py * fixed lint error * fixed ui ordering of precision and scale. Precision should be ordred in front of scale since the precision is set first in decimal data types * first pass for impala connector * updated default auth_mechanism to be one of the enum values. * updated UI documentation to match fields for the impalaconneciton. refined impalaConnection to bring use_ssl to a boolean instead or relying on an extra connection option being manually added. Removed reference to hive for type mapping added impala to the pip setup * py_format updates * removed print statement * Lints and fixes * Updated database documentation to follow new style * Flag as BETA * Remove tests --------- Co-authored-by: Chirag Madlani <12962843+chirag-madlani@users.noreply.github.com> Co-authored-by: Pere Miquel Brull <peremiquelbrull@gmail.com>
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"impala": {
"presto-types-parser>=0.0.2",
"impyla[kerberos]~=0.18.0",
"thrift>=0.13,<1",
"sasl~=0.3",
"thrift-sasl~=0.4",
},
"kafka": {*COMMONS["kafka"]},
"kinesis": {VERSIONS["boto3"]},
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"ldap-users": {"ldap3==2.9.1"},
"looker": {VERSIONS["looker-sdk"], VERSIONS["lkml"]},
"mlflow": {"mlflow-skinny>=2.3.0", "alembic~=1.10.2"},
"mongo": {VERSIONS["mongo"], VERSIONS["pandas"]},
"couchbase": {"couchbase~=4.1"},
"mssql": {"sqlalchemy-pytds~=0.3"},
"mssql-odbc": {VERSIONS["pyodbc"]},
"mysql": {VERSIONS["pymysql"]},
"nifi": {}, # uses requests
"okta": {"okta~=2.3"},
"oracle": {"cx_Oracle>=8.3.0,<9", "oracledb~=1.2"},
"pgspider": {"psycopg2-binary", "sqlalchemy-pgspider"},
"pinotdb": {"pinotdb~=0.3"},
"postgres": {
VERSIONS["pymysql"],
"psycopg2-binary",
VERSIONS["geoalchemy2"],
VERSIONS["packaging"],
},
"powerbi": {VERSIONS["msal"]},
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"qliksense": {"websocket-client~=1.6.1"},
"presto": {*COMMONS["hive"]},
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"pymssql": {"pymssql==2.2.5"},
"quicksight": {VERSIONS["boto3"]},
"redash": {VERSIONS["packaging"]},
"redpanda": {*COMMONS["kafka"]},
"redshift": {
# Going higher has memory and performance issues
VERSIONS["redshift"],
"psycopg2-binary",
VERSIONS["geoalchemy2"],
},
"sagemaker": {VERSIONS["boto3"]},
"salesforce": {"simple_salesforce==1.11.4"},
"sap-hana": {"hdbcli", "sqlalchemy-hana"},
"singlestore": {VERSIONS["pymysql"]},
"sklearn": {VERSIONS["scikit-learn"]},
"snowflake": {VERSIONS["snowflake"]},
"superset": {}, # uses requests
"tableau": {VERSIONS["tableau"]},
"trino": {VERSIONS["trino"]},
"vertica": {"sqlalchemy-vertica[vertica-python]>=0.0.5"},
"pii-processor": pii_requirements,
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}
dev = {
"black==22.3.0",
"datamodel-code-generator==0.22.0",
"docker",
"isort",
"pre-commit",
"pycln",
"pylint~=3.0.0",
"twine",
}
test = {
# Install Airflow as it's not part of `all` plugin
VERSIONS["airflow"],
"coverage",
# Install GE because it's not in the `all` plugin
VERSIONS["great-expectations"],
"moto==4.0.8",
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"pytest==7.0.0",
"pytest-cov",
"pytest-order",
# install dbt dependency
"dbt-artifacts-parser",
VERSIONS["sqlalchemy-databricks"],
VERSIONS["databricks-sdk"],
VERSIONS["google"],
VERSIONS["scikit-learn"],
VERSIONS["pyarrow"],
VERSIONS["trino"],
VERSIONS["spacy"],
VERSIONS["pydomo"],
VERSIONS["looker-sdk"],
VERSIONS["lkml"],
VERSIONS["tableau"],
VERSIONS["pyhive"],
VERSIONS["mongo"],
VERSIONS["redshift"],
VERSIONS["snowflake"],
VERSIONS["elasticsearch8"],
}
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e2e_test = {
# playwright dependencies
"pytest-playwright",
"pytest-base-url",
}
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build_options = {"includes": ["_cffi_backend"]}
setup(
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name="openmetadata-ingestion",
version="1.2.0.0.dev0",
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url="https://open-metadata.org/",
author="OpenMetadata Committers",
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license="Apache License 2.0",
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description="Ingestion Framework for OpenMetadata",
long_description=get_long_description(),
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long_description_content_type="text/markdown",
python_requires=">=3.8",
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options={"build_exe": build_options},
package_dir={"": "src"},
package_data={"metadata.examples": ["workflows/*.yaml"]},
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zip_safe=False,
dependency_links=[],
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project_urls={
"Documentation": "https://docs.open-metadata.org/",
"Source": "https://github.com/open-metadata/OpenMetadata",
},
packages=find_namespace_packages(where="./src", exclude=["tests*"]),
namespace_package=["metadata"],
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entry_points={
"console_scripts": ["metadata = metadata.cmd:metadata"],
"apache_airflow_provider": [
"provider_info = airflow_provider_openmetadata:get_provider_config"
],
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},
install_requires=list(base_requirements),
extras_require={
"base": list(base_requirements),
"dev": list(dev),
"test": list(test),
"e2e_test": list(e2e_test),
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"data-insight": list(plugins["elasticsearch"]),
**{plugin: list(dependencies) for (plugin, dependencies) in plugins.items()},
"all": list(
base_requirements.union(
*[
requirements
for plugin, requirements in plugins.items()
if plugin
not in {
"airflow",
"db2",
"great-expectations",
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"pymssql", # pymssql build is failing ref issue: https://github.com/pymssql/pymssql/issues/826
}
]
)
),
},
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)