From a8e5afb655f237de5a67257b5d15793d151991d9 Mon Sep 17 00:00:00 2001 From: Arslan Saleem Date: Thu, 21 Sep 2023 14:48:24 +0500 Subject: [PATCH] feat[DatabricksConnector]: connector to connect to Databricks on Cloud (#580) --- examples/from_databricks.py | 28 ++ pandasai/connectors/__init__.py | 2 + pandasai/connectors/base.py | 30 ++ pandasai/connectors/databricks.py | 65 +++++ pandasai/connectors/snowflake.py | 28 +- pandasai/connectors/sql.py | 62 ++--- poetry.lock | 408 +++++++++++++++++----------- pyproject.toml | 2 +- tests/connectors/test_databricks.py | 108 ++++++++ tests/connectors/test_snowflake.py | 28 +- tests/connectors/test_sql.py | 26 +- 11 files changed, 550 insertions(+), 237 deletions(-) create mode 100644 examples/from_databricks.py create mode 100644 pandasai/connectors/databricks.py create mode 100644 tests/connectors/test_databricks.py diff --git a/examples/from_databricks.py b/examples/from_databricks.py new file mode 100644 index 000000000..ad5816bf7 --- /dev/null +++ b/examples/from_databricks.py @@ -0,0 +1,28 @@ +"""Example of using PandasAI with a DataBricks""" + +from pandasai import SmartDataframe +from pandasai.llm import OpenAI +from pandasai.connectors import DatabricksConnector + + +databricks_connector = DatabricksConnector( + config={ + "host": "adb-*****.azuredatabricks.net", + "database": "default", + "token": "dapidfd412321", + "port": 443, + "table": "loan_payments_data", + "httpPath": "/sql/1.0/warehouses/213421312", + "where": [ + # this is optional and filters the data to + # reduce the size of the dataframe + ["loan_status", "=", "PAIDOFF"], + ], + } +) + +llm = OpenAI("OPEN_API_KEY") +df = SmartDataframe(databricks_connector, config={"llm": llm}) + +response = df.chat("How many people from the United states?") +print(response) diff --git a/pandasai/connectors/__init__.py b/pandasai/connectors/__init__.py index 9c8655e72..1a28f8dcc 100644 --- a/pandasai/connectors/__init__.py +++ b/pandasai/connectors/__init__.py @@ -7,6 +7,7 @@ from .base import BaseConnector from .sql import SQLConnector, MySQLConnector, PostgreSQLConnector from .snowflake import SnowFlakeConnector +from .databricks import DatabricksConnector from .yahoo_finance import YahooFinanceConnector __all__ = [ @@ -16,4 +17,5 @@ "PostgreSQLConnector", "YahooFinanceConnector", "SnowFlakeConnector", + "DatabricksConnector", ] diff --git a/pandasai/connectors/base.py b/pandasai/connectors/base.py index 6ca26efd2..7f4a0e6f7 100644 --- a/pandasai/connectors/base.py +++ b/pandasai/connectors/base.py @@ -3,6 +3,7 @@ """ from abc import ABC, abstractmethod +import os from ..helpers.df_info import DataFrameType from ..helpers.logger import Logger from pydantic import BaseModel @@ -63,6 +64,17 @@ class SnowFlakeConnectorConfig(SQLBaseConnectorConfig): warehouse: str +class DatabricksConnectorConfig(SQLBaseConnectorConfig): + """ + Connector configuration for DataBricks. + """ + + host: str + port: int + token: str + httpPath: str + + class BaseConnector(ABC): """ Base connector class to be extended by all connectors. @@ -95,6 +107,24 @@ def _load_connector_config(self, config: Union[BaseConnectorConfig, dict]): """ pass + def _populate_config_from_env(self, config: dict, envs_mapping: dict): + """ + Populate the configuration dictionary with values from environment variables + if not exists in the config. + + Args: + config (dict): The configuration dictionary to be populated. + + Returns: + dict: The populated configuration dictionary. + """ + + for key, env_var in envs_mapping.items(): + if key not in config and os.getenv(env_var): + config[key] = os.getenv(env_var) + + return config + def _init_connection(self, config: BaseConnectorConfig): """ make connection to database diff --git a/pandasai/connectors/databricks.py b/pandasai/connectors/databricks.py new file mode 100644 index 000000000..0f70b980b --- /dev/null +++ b/pandasai/connectors/databricks.py @@ -0,0 +1,65 @@ +""" +Databricks Connector to connects you to your Databricks SQL Warhouse on +Azure, AWS and GCP +""" + +from .base import BaseConnectorConfig, DatabricksConnectorConfig +from sqlalchemy import create_engine +from typing import Union +from .sql import SQLConnector + + +class DatabricksConnector(SQLConnector): + """ + Databricks connectors are used to connect to Databricks Data Cloud. + """ + + def __init__(self, config: Union[DatabricksConnectorConfig, dict]): + """ + Initialize the Databricks connector with the given configuration. + + Args: + config (ConnectorConfig): The configuration for the Databricks connector. + """ + config["dialect"] = "databricks" + if isinstance(config, dict): + env_vars = { + "token": "DATABRICKS_TOKEN", + "database": "DATABRICKS_DATABASE", + "host": "DATABRICKS_HOST", + "port": "DATABRICKS_PORT", + "httpPath": "DATABRICKS_HTTP_PATH", + } + config = self._populate_config_from_env(config, env_vars) + + super().__init__(config) + + def _load_connector_config(self, config: Union[BaseConnectorConfig, dict]): + return DatabricksConnectorConfig(**config) + + def _init_connection(self, config: DatabricksConnectorConfig): + """ + Initialize Database Connection + + Args: + config (DatabricksConnectorConfig): Configurations to load database + + """ + self._engine = create_engine( + f"{config.dialect}://token:{config.token}@{config.host}:{config.port}?http_path={config.httpPath}" + ) + + self._connection = self._engine.connect() + + def __repr__(self): + """ + Return the string representation of the Databricks connector. + + Returns: + str: The string representation of the Databricks connector. + """ + return ( + f"<{self.__class__.__name__} dialect={self._config.dialect} " + f"host={self._config.host} port={self._config.port} " + f"database={self._config.database} httpPath={str(self._config.httpPath)}" + ) diff --git a/pandasai/connectors/snowflake.py b/pandasai/connectors/snowflake.py index 32d354348..7120ec45c 100644 --- a/pandasai/connectors/snowflake.py +++ b/pandasai/connectors/snowflake.py @@ -2,7 +2,6 @@ SnowFlake connectors are used to connect to SnowFlake Data Cloud. """ -import os import pandas as pd from .base import BaseConnectorConfig, SnowFlakeConnectorConfig from sqlalchemy import create_engine @@ -16,7 +15,7 @@ class SnowFlakeConnector(SQLConnector): SnowFlake connectors are used to connect to SnowFlake Data Cloud. """ - def __init__(self, config: SnowFlakeConnectorConfig): + def __init__(self, config: Union[SnowFlakeConnectorConfig, dict]): """ Initialize the SnowFlake connector with the given configuration. @@ -25,18 +24,16 @@ def __init__(self, config: SnowFlakeConnectorConfig): """ config["dialect"] = "snowflake" - if "account" not in config and os.getenv("SNOWFLAKE_HOST"): - config["account"] = os.getenv("SNOWFLAKE_HOST") - if "database" not in config and os.getenv("SNOWFLAKE_DATABASE"): - config["database"] = os.getenv("SNOWFLAKE_DATABASE") - if "warehouse" not in config and os.getenv("SNOWFLAKE_WAREHOUSE"): - config["warehouse"] = os.getenv("SNOWFLAKE_WAREHOUSE") - if "dbSchema" not in config and os.getenv("SNOWFLAKE_SCHEMA"): - config["dbSchema"] = os.getenv("SNOWFLAKE_SCHEMA") - if "username" not in config and os.getenv("SNOWFLAKE_USERNAME"): - config["username"] = os.getenv("SNOWFLAKE_USERNAME") - if "password" not in config and os.getenv("SNOWFLAKE_PASSWORD"): - config["password"] = os.getenv("SNOWFLAKE_PASSWORD") + if isinstance(config, dict): + snowflake_env_vars = { + "account": "SNOWFLAKE_HOST", + "database": "SNOWFLAKE_DATABASE", + "warehouse": "SNOWFLAKE_WAREHOUSE", + "dbSchema": "SNOWFLAKE_SCHEMA", + "username": "SNOWFLAKE_USERNAME", + "password": "SNOWFLAKE_PASSWORD", + } + config = self._populate_config_from_env(config, snowflake_env_vars) super().__init__(config) @@ -88,8 +85,7 @@ def __repr__(self): """ return ( f"<{self.__class__.__name__} dialect={self._config.dialect} " - f"username={self._config.username} " - f"password={self._config.password} Account={self._config.account} " + f"Account={self._config.account} " f"warehouse={self._config.warehouse} " f"database={self._config.database} schema={str(self._config.dbSchema)} " f"table={self._config.table}>" diff --git a/pandasai/connectors/sql.py b/pandasai/connectors/sql.py index 1f3aadb6d..975427f22 100644 --- a/pandasai/connectors/sql.py +++ b/pandasai/connectors/sql.py @@ -7,7 +7,8 @@ import pandas as pd from .base import BaseConnector, SQLConnectorConfig from .base import BaseConnectorConfig -from sqlalchemy import create_engine, sql, text, select, asc +from sqlalchemy import create_engine, text, select, asc + from functools import cached_property, cache import hashlib from ..helpers.path import find_project_root @@ -94,8 +95,7 @@ def __repr__(self): """ return ( f"<{self.__class__.__name__} dialect={self._config.dialect} " - f"driver={self._config.driver} username={self._config.username} " - f"password={self._config.password} host={self._config.host} " + f"driver={self._config.driver} host={self._config.host} " f"port={str(self._config.port)} database={self._config.database} " f"table={self._config.table}>" ) @@ -279,10 +279,7 @@ def rows_count(self): ) # Run a SQL query to get the number of rows - query = sql.text( - "SELECT COUNT(*) FROM information_schema.columns " - "WHERE table_name = :table_name" - ).bindparams(table_name=self._config.table) + query = select(text("COUNT(*)")).select_from(text(self._config.table)) # Return the number of rows self._rows_count = self._connection.execute(query).fetchone()[0] @@ -307,14 +304,7 @@ def columns_count(self): f"{self._config.dialect}" ) - # Run a SQL query to get the number of columns - query = sql.text( - "SELECT COUNT(*) FROM information_schema.columns " - f"WHERE table_name = '{self._config.table}'" - ) - - # Return the number of columns - self._columns_count = self._connection.execute(query).fetchone()[0] + self._columns_count = len(self.head().columns) return self._columns_count def _get_column_hash(self, include_additional_filters: bool = False): @@ -368,7 +358,7 @@ class MySQLConnector(SQLConnector): MySQL connectors are used to connect to MySQL databases. """ - def __init__(self, config: SQLConnectorConfig): + def __init__(self, config: Union[SQLConnectorConfig, dict]): """ Initialize the MySQL connector with the given configuration. @@ -378,16 +368,15 @@ def __init__(self, config: SQLConnectorConfig): config["dialect"] = "mysql" config["driver"] = "pymysql" - if "host" not in config and os.getenv("MYSQL_HOST"): - config["host"] = os.getenv("MYSQL_HOST") - if "port" not in config and os.getenv("MYSQL_PORT"): - config["port"] = os.getenv("MYSQL_PORT") - if "database" not in config and os.getenv("MYSQL_DATABASE"): - config["database"] = os.getenv("MYSQL_DATABASE") - if "username" not in config and os.getenv("MYSQL_USERNAME"): - config["username"] = os.getenv("MYSQL_USERNAME") - if "password" not in config and os.getenv("MYSQL_PASSWORD"): - config["password"] = os.getenv("MYSQL_PASSWORD") + if isinstance(config, dict): + mysql_env_vars = { + "host": "MYSQL_HOST", + "port": "MYSQL_PORT", + "database": "MYSQL_DATABASE", + "username": "MYSQL_USERNAME", + "password": "MYSQL_PASSWORD", + } + config = self._populate_config_from_env(config, mysql_env_vars) super().__init__(config) @@ -397,7 +386,7 @@ class PostgreSQLConnector(SQLConnector): PostgreSQL connectors are used to connect to PostgreSQL databases. """ - def __init__(self, config: SQLConnectorConfig): + def __init__(self, config: Union[SQLConnectorConfig, dict]): """ Initialize the PostgreSQL connector with the given configuration. @@ -407,16 +396,15 @@ def __init__(self, config: SQLConnectorConfig): config["dialect"] = "postgresql" config["driver"] = "psycopg2" - if "host" not in config and os.getenv("POSTGRESQL_HOST"): - config["host"] = os.getenv("POSTGRESQL_HOST") - if "port" not in config and os.getenv("POSTGRESQL_PORT"): - config["port"] = os.getenv("POSTGRESQL_PORT") - if "database" not in config and os.getenv("POSTGRESQL_DATABASE"): - config["database"] = os.getenv("POSTGRESQL_DATABASE") - if "username" not in config and os.getenv("POSTGRESQL_USERNAME"): - config["username"] = os.getenv("POSTGRESQL_USERNAME") - if "password" not in config and os.getenv("POSTGRESQL_PASSWORD"): - config["password"] = os.getenv("POSTGRESQL_PASSWORD") + if isinstance(config, dict): + postgresql_env_vars = { + "host": "POSTGRESQL_HOST", + 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@@ requests = ">=2.31" [[package]] name = "zipp" -version = "3.16.2" +version = "3.17.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.8" files = [ - {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"}, - {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"}, + {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, + {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [extras] @@ -4507,4 +4583,4 @@ yfinance = ["yfinance"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.9.7 || >3.9.7,<4.0" -content-hash = "39687963602bd9239243ac8d5da3f59eefe2953f82b9b871ed48b1124734da73" +content-hash = "366805b5064db2c65f992c9cb26e5d648cd8fd5537332626a1c5d877f17ff080" diff --git a/pyproject.toml b/pyproject.toml index d2faaed30..b94f93685 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -52,7 +52,7 @@ coverage = "^7.2.7" google-cloud-aiplatform = "^1.26.1" [tool.poetry.extras] -connectors = ["pymysql", "psycopg2", "snowflake-sqlalchemy"] +connectors = ["pymysql", "psycopg2", "sqlalchemy-databricks", "snowflake-sqlalchemy"] google-ai = ["google-generativeai", "google-cloud-aiplatform"] google-sheets = ["beautifulsoup4"] excel = ["openpyxl"] diff --git a/tests/connectors/test_databricks.py b/tests/connectors/test_databricks.py new file mode 100644 index 000000000..0c4292f2f --- /dev/null +++ b/tests/connectors/test_databricks.py @@ -0,0 +1,108 @@ +import unittest +import pandas as pd +from unittest.mock import Mock, patch +from pandasai.connectors.base import DatabricksConnectorConfig +from pandasai.connectors import DatabricksConnector + + +class TestDataBricksConnector(unittest.TestCase): + @patch("pandasai.connectors.databricks.create_engine", autospec=True) + # @patch("pandasai.connectors.sql.sql", autospec=True) + def setUp(self, mock_create_engine): + # Create a mock engine and connection + self.mock_engine = Mock() + self.mock_connection = Mock() + self.mock_engine.connect.return_value = self.mock_connection + mock_create_engine.return_value = self.mock_engine + + # Define your ConnectorConfig instance here + self.config = DatabricksConnectorConfig( + dialect="databricks", + host="ehxzojy-ue47135", + port=443, + token="token", + database="DATABRICKS_SAMPLE_DATA", + httpPath="/sql/1.0/warehouses/1241rsa32", + table="lineitem", + where=[["column_name", "=", "value"]], + ).dict() + + # Create an instance of SQLConnector + self.connector = DatabricksConnector(self.config) + + @patch("pandasai.connectors.DatabricksConnector._load_connector_config") + @patch("pandasai.connectors.DatabricksConnector._init_connection") + def test_constructor_and_properties( + self, mock_load_connector_config, mock_init_connection + ): + # Test constructor and properties + + mock_load_connector_config.return_value = self.config + self.assertEqual(self.connector._config, self.config) + self.assertEqual(self.connector._engine, self.mock_engine) + self.assertEqual(self.connector._connection, self.mock_connection) + self.assertEqual(self.connector._cache_interval, 600) + DatabricksConnector(self.config) + mock_load_connector_config.assert_called() + mock_init_connection.assert_called() + + def test_repr_method(self): + # Test __repr__ method + + expected_repr = ( + "" ) self.assertEqual(repr(self.connector), expected_repr) @@ -76,11 +82,11 @@ def test_rows_count_property(self): def test_columns_count_property(self): # Test columns_count property self.connector._columns_count = None - self.mock_connection.execute.return_value.fetchone.return_value = ( - 8, - ) # Sample columns count + mock_df = Mock() + mock_df.columns = ["Column1", "Column2"] + self.connector.head = Mock(return_value=mock_df) columns_count = self.connector.columns_count - self.assertEqual(columns_count, 8) + self.assertEqual(columns_count, 2) def test_column_hash_property(self): # Test column_hash property @@ -89,6 +95,10 @@ def test_column_hash_property(self): self.connector.head = Mock(return_value=mock_df) column_hash = self.connector.column_hash self.assertIsNotNone(column_hash) + self.assertEqual( + column_hash, + "ea6a80582b83e1511f8be83412b13e7b86d20c45b96fcf9731f3b99dc3b568aa", + ) def test_fallback_name_property(self): # Test fallback_name property diff --git a/tests/connectors/test_sql.py b/tests/connectors/test_sql.py index 485b57c10..e9d55fbb7 100644 --- a/tests/connectors/test_sql.py +++ b/tests/connectors/test_sql.py @@ -7,8 +7,7 @@ class TestSQLConnector(unittest.TestCase): @patch("pandasai.connectors.sql.create_engine", autospec=True) - @patch("pandasai.connectors.sql.sql", autospec=True) - def setUp(self, mock_sql, mock_create_engine): + def setUp(self, mock_create_engine): # Create a mock engine and connection self.mock_engine = Mock() self.mock_connection = Mock() @@ -31,18 +30,25 @@ def setUp(self, mock_sql, mock_create_engine): # Create an instance of SQLConnector self.connector = SQLConnector(self.config) - def test_constructor_and_properties(self): + @patch("pandasai.connectors.SQLConnector._load_connector_config") + @patch("pandasai.connectors.SQLConnector._init_connection") + def test_constructor_and_properties( + self, mock_load_connector_config, mock_init_connection + ): # Test constructor and properties + self.assertEqual(self.connector._config, self.config) self.assertEqual(self.connector._engine, self.mock_engine) self.assertEqual(self.connector._connection, self.mock_connection) self.assertEqual(self.connector._cache_interval, 600) + SQLConnector(self.config) + mock_load_connector_config.assert_called() + mock_init_connection.assert_called() def test_repr_method(self): # Test __repr__ method expected_repr = ( "" ) self.assertEqual(repr(self.connector), expected_repr) @@ -76,11 +82,11 @@ def test_rows_count_property(self): def test_columns_count_property(self): # Test columns_count property self.connector._columns_count = None - self.mock_connection.execute.return_value.fetchone.return_value = ( - 8, - ) # Sample columns count + mock_df = Mock() + mock_df.columns = ["Column1", "Column2"] + self.connector.head = Mock(return_value=mock_df) columns_count = self.connector.columns_count - self.assertEqual(columns_count, 8) + self.assertEqual(columns_count, 2) def test_column_hash_property(self): # Test column_hash property @@ -89,6 +95,10 @@ def test_column_hash_property(self): self.connector.head = Mock(return_value=mock_df) column_hash = self.connector.column_hash self.assertIsNotNone(column_hash) + self.assertEqual( + column_hash, + "ea6a80582b83e1511f8be83412b13e7b86d20c45b96fcf9731f3b99dc3b568aa", + ) def test_fallback_name_property(self): # Test fallback_name property