diff --git a/backend/pdm.lock b/backend/pdm.lock index 44d9e359a..bb3c42aad 100644 --- a/backend/pdm.lock +++ b/backend/pdm.lock @@ -421,22 +421,6 @@ files = [ {file = "azure_mgmt_core-1.5.0.tar.gz", hash = "sha256:380ae3dfa3639f4a5c246a7db7ed2d08374e88230fd0da3eb899f7c11e5c441a"}, ] -[[package]] -name = "azure-storage-blob" -version = "12.24.0" -requires_python = ">=3.8" -summary = "Microsoft Azure Blob Storage Client Library for Python" -groups = ["default", "dev"] -dependencies = [ - "azure-core>=1.30.0", - "cryptography>=2.1.4", - "isodate>=0.6.1", - "typing-extensions>=4.6.0", -] -files = [ - {file = "azure_storage_blob-12.24.0-py3-none-any.whl", hash = "sha256:4f0bb4592ea79a2d986063696514c781c9e62be240f09f6397986e01755bc071"}, - {file = "azure_storage_blob-12.24.0.tar.gz", hash = "sha256:eaaaa1507c8c363d6e1d1342bd549938fdf1adec9b1ada8658c8f5bf3aea844e"}, -] [[package]] name = "bcrypt" diff --git a/backend/workflow_manager/endpoint/constants.py b/backend/workflow_manager/endpoint/constants.py index 6a23900a0..9a89763f6 100644 --- a/backend/workflow_manager/endpoint/constants.py +++ b/backend/workflow_manager/endpoint/constants.py @@ -6,8 +6,6 @@ class TableColumns: class DBConnectionClass: SNOWFLAKE = "SnowflakeDB" - BIGQUERY = "BigQuery" - MSSQL = "MSSQL" class Snowflake: @@ -94,22 +92,6 @@ class ApiDeploymentResultStatus: FAILED = "Failed" -class BigQuery: - """In big query, table name has to be in the format {db}.{schema}.{table} - Throws error if any of the params not set. - - When converted to list table size should be 3 - """ - - TABLE_NAME_SIZE = 3 - COLUMN_TYPES = [ - "DATE", - "DATETIME", - "TIME", - "TIMESTAMP", - ] - - class QueueResultStatus: SUCCESS = "Success" FAILED = "Failed" diff --git a/backend/workflow_manager/endpoint/database_utils.py b/backend/workflow_manager/endpoint/database_utils.py index ae1664784..0f8a9fef4 100644 --- a/backend/workflow_manager/endpoint/database_utils.py +++ b/backend/workflow_manager/endpoint/database_utils.py @@ -5,16 +5,8 @@ from typing import Any, Optional from utils.constants import Common -from workflow_manager.endpoint.constants import ( - BigQuery, - DBConnectionClass, - TableColumns, -) -from workflow_manager.endpoint.db_connector_helper import DBConnectorQueryHelper -from workflow_manager.endpoint.exceptions import ( - BigQueryTableNotFound, - UnstractDBException, -) +from workflow_manager.endpoint.constants import DBConnectionClass, TableColumns +from workflow_manager.endpoint.exceptions import UnstractDBException from workflow_manager.workflow.enums import AgentName, ColumnModes from unstract.connectors.databases import connectors as db_connectors @@ -69,94 +61,41 @@ def get_sql_values_for_query( # Default to Other SQL DBs # TODO: Handle numeric types with no quotes sql_values[column] = f"{values[column]}" - if column_types.get("id"): + # If table has a column 'id', unstract inserts a unique value to it + # Oracle db has column 'ID' instead of 'id' + if any(key in column_types for key in ["id", "ID"]): uuid_id = str(uuid.uuid4()) sql_values["id"] = f"{uuid_id}" return sql_values - @staticmethod - def get_column_types_util(columns_with_types: Any) -> dict[str, str]: - """Converts db results columns_with_types to dict. - - Args: - columns_with_types (Any): _description_ - - Returns: - dict[str, str]: _description_ - """ - column_types: dict[str, str] = {} - for column_name, data_type in columns_with_types: - column_types[column_name] = data_type - return column_types - @staticmethod def get_column_types( - cls_name: Any, + conn_cls: Any, table_name: str, - connector_id: str, - connector_settings: dict[str, Any], ) -> Any: - """Get db column name and types. + """Function to return connector db column and types by calling + connector table information schema. Args: - cls (Any): _description_ - table_name (str): _description_ - connector_id (str): _description_ - connector_settings (dict[str, Any]): _description_ + conn_cls (Any): DB Connection class + table_name (str): DB table-name Raises: - ValueError: _description_ - e: _description_ + UnstractDBException: _description_ Returns: - Any: _description_ + Any: db column name and db column types of corresponding table """ - column_types: dict[str, str] = {} try: - if cls_name == DBConnectionClass.SNOWFLAKE: - query = f"describe table {table_name}" - results = DatabaseUtils.execute_and_fetch_data( - connector_id=connector_id, - connector_settings=connector_settings, - query=query, - ) - for column in results: - column_types[column[0].lower()] = column[1].split("(")[0] - elif cls_name == DBConnectionClass.BIGQUERY: - bigquery_table_name = str.lower(table_name).split(".") - if len(bigquery_table_name) != BigQuery.TABLE_NAME_SIZE: - raise BigQueryTableNotFound() - database = bigquery_table_name[0] - schema = bigquery_table_name[1] - table = bigquery_table_name[2] - query = ( - "SELECT column_name, data_type FROM " - f"{database}.{schema}.INFORMATION_SCHEMA.COLUMNS WHERE " - f"table_name = '{table}'" - ) - results = DatabaseUtils.execute_and_fetch_data( - connector_id=connector_id, - connector_settings=connector_settings, - query=query, - ) - column_types = DatabaseUtils.get_column_types_util(results) - else: - table_name = str.lower(table_name) - query = ( - "SELECT column_name, data_type FROM " - "information_schema.columns WHERE " - f"table_name = '{table_name}'" - ) - results = DatabaseUtils.execute_and_fetch_data( - connector_id=connector_id, - connector_settings=connector_settings, - query=query, - ) - column_types = DatabaseUtils.get_column_types_util(results) + return conn_cls.get_information_schema(table_name=table_name) + except ConnectorError as e: + raise UnstractDBException(detail=e.message) from e except Exception as e: - logger.error(f"Error getting column types for {table_name}: {str(e)}") - raise e - return column_types + logger.error( + f"Error getting db-column-name and db-column-type " + f"for {table_name}: {str(e)}" + ) + raise @staticmethod def get_columns_and_values( @@ -224,9 +163,7 @@ def get_columns_and_values( @staticmethod def get_sql_query_data( - cls_name: str, - connector_id: str, - connector_settings: dict[str, Any], + conn_cls: Any, table_name: str, values: dict[str, Any], ) -> dict[str, Any]: @@ -234,8 +171,7 @@ def get_sql_query_data( provided values and table schema. Args: - connector_id: The connector id of the connector provided - connector_settings: Connector settings provided by user + connector_cls: DB connection class table_name (str): The name of the target table for the insert query. values (dict[str, Any]): A dictionary containing column-value pairs for the insert query. @@ -251,11 +187,9 @@ def get_sql_query_data( - For other SQL databases, it uses default SQL generation based on column types. """ + cls_name = conn_cls.__class__.__name__ column_types: dict[str, str] = DatabaseUtils.get_column_types( - cls_name=cls_name, - table_name=table_name, - connector_id=connector_id, - connector_settings=connector_settings, + conn_cls=conn_cls, table_name=table_name ) sql_columns_and_values = DatabaseUtils.get_sql_values_for_query( values=values, @@ -270,7 +204,7 @@ def execute_write_query( engine: Any, table_name: str, sql_keys: list[str], - sql_values: Any, + sql_values: list[str], ) -> None: """Execute Insert Query. @@ -285,15 +219,9 @@ def execute_write_query( So we need to use INSERT INTO ... SELECT ... syntax - sql values can contain data with single quote. It needs to """ - cls_name = db_class.__class__.__name__ - sql = DBConnectorQueryHelper.build_sql_insert_query( - cls_name=cls_name, table_name=table_name, sql_keys=sql_keys - ) - logger.debug(f"inserting into table {table_name} with: {sql} query") + sql = db_class.get_sql_insert_query(table_name=table_name, sql_keys=sql_keys) - sql_values = DBConnectorQueryHelper.prepare_sql_values( - cls_name=cls_name, sql_values=sql_values, sql_keys=sql_keys - ) + logger.debug(f"inserting into table {table_name} with: {sql} query") logger.debug(f"sql_values: {sql_values}") try: @@ -316,17 +244,6 @@ def get_db_class( connector_class: UnstractDB = connector(connector_settings) return connector_class - @staticmethod - def execute_and_fetch_data( - connector_id: str, connector_settings: dict[str, Any], query: str - ) -> Any: - connector = db_connectors[connector_id][Common.METADATA][Common.CONNECTOR] - connector_class: UnstractDB = connector(connector_settings) - try: - return connector_class.execute(query=query) - except ConnectorError as e: - raise UnstractDBException(detail=e.message) from e - @staticmethod def create_table_if_not_exists( db_class: UnstractDB, @@ -344,12 +261,14 @@ def create_table_if_not_exists( Raises: e: _description_ """ - sql = DBConnectorQueryHelper.create_table_query( - conn_cls=db_class, table=table_name, database_entry=database_entry + sql = db_class.create_table_query( + table=table_name, database_entry=database_entry ) logger.debug(f"creating table {table_name} with: {sql} query") try: - db_class.execute_query(engine=engine, sql_query=sql, sql_values=None) + db_class.execute_query( + engine=engine, sql_query=sql, sql_values=None, table_name=table_name + ) except UnstractDBConnectorException as e: raise UnstractDBException(detail=e.detail) from e logger.debug(f"successfully created table {table_name} with: {sql} query") diff --git a/backend/workflow_manager/endpoint/db_connector_helper.py b/backend/workflow_manager/endpoint/db_connector_helper.py deleted file mode 100644 index 6c36a25a8..000000000 --- a/backend/workflow_manager/endpoint/db_connector_helper.py +++ /dev/null @@ -1,77 +0,0 @@ -from typing import Any - -from google.cloud import bigquery -from workflow_manager.endpoint.constants import DBConnectionClass, TableColumns - -from unstract.connectors.databases.unstract_db import UnstractDB - - -class DBConnectorQueryHelper: - """A class that helps to generate query for connector table operations.""" - - @staticmethod - def create_table_query( - conn_cls: UnstractDB, table: str, database_entry: dict[str, Any] - ) -> Any: - sql_query = "" - """Generate a SQL query to create a table, based on the provided - database entry. - - Args: - conn_cls (str): The database connector class. - Should be one of 'BIGQUERY', 'SNOWFLAKE', or other. - table (str): The name of the table to be created. - database_entry (dict[str, Any]): - A dictionary containing column names as keys - and their corresponding values. - - These values are used to determine the data types, - for the columns in the table. - - Returns: - str: A SQL query string to create a table with the specified name, - and column definitions. - - Note: - - Each conn_cls have it's implementation for SQL create table query - Based on the implementation, a base SQL create table query will be - created containing Permanent columns - - Each conn_cls also has a mapping to convert python datatype to - corresponding column type (string, VARCHAR etc) - - keys in database_entry will be converted to column type, and - column values will be the valus in database_entry - - base SQL create table will be appended based column type and - values, and generates a complete SQL create table query - """ - create_table_query = conn_cls.get_create_table_query(table=table) - sql_query += create_table_query - - for key, val in database_entry.items(): - if key not in TableColumns.PERMANENT_COLUMNS: - sql_type = conn_cls.sql_to_db_mapping(val) - sql_query += f"{key} {sql_type}, " - - return sql_query.rstrip(", ") + ");" - - @staticmethod - def build_sql_insert_query( - cls_name: str, table_name: str, sql_keys: list[str] - ) -> str: - keys_str = ",".join(sql_keys) - if cls_name == DBConnectionClass.BIGQUERY: - values_placeholder = ",".join(["@" + key for key in sql_keys]) - else: - values_placeholder = ",".join(["%s" for _ in sql_keys]) - return f"INSERT INTO {table_name} ({keys_str}) VALUES ({values_placeholder})" - - @staticmethod - def prepare_sql_values(cls_name: str, sql_values: Any, sql_keys: list[str]) -> Any: - if cls_name == DBConnectionClass.MSSQL: - return tuple(sql_values) - elif cls_name == DBConnectionClass.BIGQUERY: - query_parameters = [ - bigquery.ScalarQueryParameter(key, "STRING", value) - for key, value in zip(sql_keys, sql_values) - ] - return bigquery.QueryJobConfig(query_parameters=query_parameters) - return sql_values diff --git a/backend/workflow_manager/endpoint/destination.py b/backend/workflow_manager/endpoint/destination.py index 2a90eaf14..4de330f40 100644 --- a/backend/workflow_manager/endpoint/destination.py +++ b/backend/workflow_manager/endpoint/destination.py @@ -309,11 +309,8 @@ def insert_into_db(self, input_file_path: str) -> None: table_name=table_name, database_entry=values, ) - cls_name = db_class.__class__.__name__ sql_columns_and_values = DatabaseUtils.get_sql_query_data( - cls_name=cls_name, - connector_id=connector_instance.connector_id, - connector_settings=connector_settings, + conn_cls=db_class, table_name=table_name, values=values, ) diff --git a/backend/workflow_manager/endpoint_v2/constants.py b/backend/workflow_manager/endpoint_v2/constants.py index 6a23900a0..9a89763f6 100644 --- a/backend/workflow_manager/endpoint_v2/constants.py +++ b/backend/workflow_manager/endpoint_v2/constants.py @@ -6,8 +6,6 @@ class TableColumns: class DBConnectionClass: SNOWFLAKE = "SnowflakeDB" - BIGQUERY = "BigQuery" - MSSQL = "MSSQL" class Snowflake: @@ -94,22 +92,6 @@ class ApiDeploymentResultStatus: FAILED = "Failed" -class BigQuery: - """In big query, table name has to be in the format {db}.{schema}.{table} - Throws error if any of the params not set. - - When converted to list table size should be 3 - """ - - TABLE_NAME_SIZE = 3 - COLUMN_TYPES = [ - "DATE", - "DATETIME", - "TIME", - "TIMESTAMP", - ] - - class QueueResultStatus: SUCCESS = "Success" FAILED = "Failed" diff --git a/backend/workflow_manager/endpoint_v2/database_utils.py b/backend/workflow_manager/endpoint_v2/database_utils.py index 69f7e60c8..0f8a9fef4 100644 --- a/backend/workflow_manager/endpoint_v2/database_utils.py +++ b/backend/workflow_manager/endpoint_v2/database_utils.py @@ -5,17 +5,9 @@ from typing import Any, Optional from utils.constants import Common -from workflow_manager.endpoint_v2.constants import ( - BigQuery, - DBConnectionClass, - TableColumns, -) -from workflow_manager.endpoint_v2.db_connector_helper import DBConnectorQueryHelper -from workflow_manager.endpoint_v2.exceptions import ( - BigQueryTableNotFound, - UnstractDBException, -) -from workflow_manager.workflow_v2.enums import AgentName, ColumnModes +from workflow_manager.endpoint.constants import DBConnectionClass, TableColumns +from workflow_manager.endpoint.exceptions import UnstractDBException +from workflow_manager.workflow.enums import AgentName, ColumnModes from unstract.connectors.databases import connectors as db_connectors from unstract.connectors.databases.exceptions import UnstractDBConnectorException @@ -69,94 +61,41 @@ def get_sql_values_for_query( # Default to Other SQL DBs # TODO: Handle numeric types with no quotes sql_values[column] = f"{values[column]}" - if column_types.get("id"): + # If table has a column 'id', unstract inserts a unique value to it + # Oracle db has column 'ID' instead of 'id' + if any(key in column_types for key in ["id", "ID"]): uuid_id = str(uuid.uuid4()) sql_values["id"] = f"{uuid_id}" return sql_values - @staticmethod - def get_column_types_util(columns_with_types: Any) -> dict[str, str]: - """Converts db results columns_with_types to dict. - - Args: - columns_with_types (Any): _description_ - - Returns: - dict[str, str]: _description_ - """ - column_types: dict[str, str] = {} - for column_name, data_type in columns_with_types: - column_types[column_name] = data_type - return column_types - @staticmethod def get_column_types( - cls_name: Any, + conn_cls: Any, table_name: str, - connector_id: str, - connector_settings: dict[str, Any], ) -> Any: - """Get db column name and types. + """Function to return connector db column and types by calling + connector table information schema. Args: - cls (Any): _description_ - table_name (str): _description_ - connector_id (str): _description_ - connector_settings (dict[str, Any]): _description_ + conn_cls (Any): DB Connection class + table_name (str): DB table-name Raises: - ValueError: _description_ - e: _description_ + UnstractDBException: _description_ Returns: - Any: _description_ + Any: db column name and db column types of corresponding table """ - column_types: dict[str, str] = {} try: - if cls_name == DBConnectionClass.SNOWFLAKE: - query = f"describe table {table_name}" - results = DatabaseUtils.execute_and_fetch_data( - connector_id=connector_id, - connector_settings=connector_settings, - query=query, - ) - for column in results: - column_types[column[0].lower()] = column[1].split("(")[0] - elif cls_name == DBConnectionClass.BIGQUERY: - bigquery_table_name = str.lower(table_name).split(".") - if len(bigquery_table_name) != BigQuery.TABLE_NAME_SIZE: - raise BigQueryTableNotFound() - database = bigquery_table_name[0] - schema = bigquery_table_name[1] - table = bigquery_table_name[2] - query = ( - "SELECT column_name, data_type FROM " - f"{database}.{schema}.INFORMATION_SCHEMA.COLUMNS WHERE " - f"table_name = '{table}'" - ) - results = DatabaseUtils.execute_and_fetch_data( - connector_id=connector_id, - connector_settings=connector_settings, - query=query, - ) - column_types = DatabaseUtils.get_column_types_util(results) - else: - table_name = str.lower(table_name) - query = ( - "SELECT column_name, data_type FROM " - "information_schema.columns WHERE " - f"table_name = '{table_name}'" - ) - results = DatabaseUtils.execute_and_fetch_data( - connector_id=connector_id, - connector_settings=connector_settings, - query=query, - ) - column_types = DatabaseUtils.get_column_types_util(results) + return conn_cls.get_information_schema(table_name=table_name) + except ConnectorError as e: + raise UnstractDBException(detail=e.message) from e except Exception as e: - logger.error(f"Error getting column types for {table_name}: {str(e)}") - raise e - return column_types + logger.error( + f"Error getting db-column-name and db-column-type " + f"for {table_name}: {str(e)}" + ) + raise @staticmethod def get_columns_and_values( @@ -224,9 +163,7 @@ def get_columns_and_values( @staticmethod def get_sql_query_data( - cls_name: str, - connector_id: str, - connector_settings: dict[str, Any], + conn_cls: Any, table_name: str, values: dict[str, Any], ) -> dict[str, Any]: @@ -234,8 +171,7 @@ def get_sql_query_data( provided values and table schema. Args: - connector_id: The connector id of the connector provided - connector_settings: Connector settings provided by user + connector_cls: DB connection class table_name (str): The name of the target table for the insert query. values (dict[str, Any]): A dictionary containing column-value pairs for the insert query. @@ -251,11 +187,9 @@ def get_sql_query_data( - For other SQL databases, it uses default SQL generation based on column types. """ + cls_name = conn_cls.__class__.__name__ column_types: dict[str, str] = DatabaseUtils.get_column_types( - cls_name=cls_name, - table_name=table_name, - connector_id=connector_id, - connector_settings=connector_settings, + conn_cls=conn_cls, table_name=table_name ) sql_columns_and_values = DatabaseUtils.get_sql_values_for_query( values=values, @@ -270,7 +204,7 @@ def execute_write_query( engine: Any, table_name: str, sql_keys: list[str], - sql_values: Any, + sql_values: list[str], ) -> None: """Execute Insert Query. @@ -285,15 +219,9 @@ def execute_write_query( So we need to use INSERT INTO ... SELECT ... syntax - sql values can contain data with single quote. It needs to """ - cls_name = db_class.__class__.__name__ - sql = DBConnectorQueryHelper.build_sql_insert_query( - cls_name=cls_name, table_name=table_name, sql_keys=sql_keys - ) - logger.debug(f"inserting into table {table_name} with: {sql} query") + sql = db_class.get_sql_insert_query(table_name=table_name, sql_keys=sql_keys) - sql_values = DBConnectorQueryHelper.prepare_sql_values( - cls_name=cls_name, sql_values=sql_values, sql_keys=sql_keys - ) + logger.debug(f"inserting into table {table_name} with: {sql} query") logger.debug(f"sql_values: {sql_values}") try: @@ -316,17 +244,6 @@ def get_db_class( connector_class: UnstractDB = connector(connector_settings) return connector_class - @staticmethod - def execute_and_fetch_data( - connector_id: str, connector_settings: dict[str, Any], query: str - ) -> Any: - connector = db_connectors[connector_id][Common.METADATA][Common.CONNECTOR] - connector_class: UnstractDB = connector(connector_settings) - try: - return connector_class.execute(query=query) - except ConnectorError as e: - raise UnstractDBException(detail=e.message) from e - @staticmethod def create_table_if_not_exists( db_class: UnstractDB, @@ -344,12 +261,14 @@ def create_table_if_not_exists( Raises: e: _description_ """ - sql = DBConnectorQueryHelper.create_table_query( - conn_cls=db_class, table=table_name, database_entry=database_entry + sql = db_class.create_table_query( + table=table_name, database_entry=database_entry ) logger.debug(f"creating table {table_name} with: {sql} query") try: - db_class.execute_query(engine=engine, sql_query=sql, sql_values=None) + db_class.execute_query( + engine=engine, sql_query=sql, sql_values=None, table_name=table_name + ) except UnstractDBConnectorException as e: raise UnstractDBException(detail=e.detail) from e logger.debug(f"successfully created table {table_name} with: {sql} query") diff --git a/backend/workflow_manager/endpoint_v2/db_connector_helper.py b/backend/workflow_manager/endpoint_v2/db_connector_helper.py deleted file mode 100644 index 6c1e92de3..000000000 --- a/backend/workflow_manager/endpoint_v2/db_connector_helper.py +++ /dev/null @@ -1,77 +0,0 @@ -from typing import Any - -from google.cloud import bigquery -from workflow_manager.endpoint_v2.constants import DBConnectionClass, TableColumns - -from unstract.connectors.databases.unstract_db import UnstractDB - - -class DBConnectorQueryHelper: - """A class that helps to generate query for connector table operations.""" - - @staticmethod - def create_table_query( - conn_cls: UnstractDB, table: str, database_entry: dict[str, Any] - ) -> Any: - sql_query = "" - """Generate a SQL query to create a table, based on the provided - database entry. - - Args: - conn_cls (str): The database connector class. - Should be one of 'BIGQUERY', 'SNOWFLAKE', or other. - table (str): The name of the table to be created. - database_entry (dict[str, Any]): - A dictionary containing column names as keys - and their corresponding values. - - These values are used to determine the data types, - for the columns in the table. - - Returns: - str: A SQL query string to create a table with the specified name, - and column definitions. - - Note: - - Each conn_cls have it's implementation for SQL create table query - Based on the implementation, a base SQL create table query will be - created containing Permanent columns - - Each conn_cls also has a mapping to convert python datatype to - corresponding column type (string, VARCHAR etc) - - keys in database_entry will be converted to column type, and - column values will be the valus in database_entry - - base SQL create table will be appended based column type and - values, and generates a complete SQL create table query - """ - create_table_query = conn_cls.get_create_table_query(table=table) - sql_query += create_table_query - - for key, val in database_entry.items(): - if key not in TableColumns.PERMANENT_COLUMNS: - sql_type = conn_cls.sql_to_db_mapping(val) - sql_query += f"{key} {sql_type}, " - - return sql_query.rstrip(", ") + ");" - - @staticmethod - def build_sql_insert_query( - cls_name: str, table_name: str, sql_keys: list[str] - ) -> str: - keys_str = ",".join(sql_keys) - if cls_name == DBConnectionClass.BIGQUERY: - values_placeholder = ",".join(["@" + key for key in sql_keys]) - else: - values_placeholder = ",".join(["%s" for _ in sql_keys]) - return f"INSERT INTO {table_name} ({keys_str}) VALUES ({values_placeholder})" - - @staticmethod - def prepare_sql_values(cls_name: str, sql_values: Any, sql_keys: list[str]) -> Any: - if cls_name == DBConnectionClass.MSSQL: - return tuple(sql_values) - elif cls_name == DBConnectionClass.BIGQUERY: - query_parameters = [ - bigquery.ScalarQueryParameter(key, "STRING", value) - for key, value in zip(sql_keys, sql_values) - ] - return bigquery.QueryJobConfig(query_parameters=query_parameters) - return sql_values diff --git a/backend/workflow_manager/endpoint_v2/destination.py b/backend/workflow_manager/endpoint_v2/destination.py index 036cece50..2375cf801 100644 --- a/backend/workflow_manager/endpoint_v2/destination.py +++ b/backend/workflow_manager/endpoint_v2/destination.py @@ -315,11 +315,8 @@ def insert_into_db(self, input_file_path: str) -> None: table_name=table_name, database_entry=values, ) - cls_name = db_class.__class__.__name__ sql_columns_and_values = DatabaseUtils.get_sql_query_data( - cls_name=cls_name, - connector_id=connector_instance.connector_id, - connector_settings=connector_settings, + conn_cls=db_class, table_name=table_name, values=values, ) diff --git a/frontend/public/icons/connector-icons/Oracle.png b/frontend/public/icons/connector-icons/Oracle.png new file mode 100644 index 000000000..c3dd3b718 Binary files /dev/null and b/frontend/public/icons/connector-icons/Oracle.png differ diff --git a/pdm.lock b/pdm.lock index 340950c0b..417f315aa 100644 --- a/pdm.lock +++ b/pdm.lock @@ 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+BIG_QUERY_TABLE_SIZE = 3 + class BigQuery(UnstractDB): def __init__(self, settings: dict[str, Any]): super().__init__("BigQuery") self.json_credentials = json.loads(settings.get("json_credentials", "{}")) + self.big_query_table_size = BIG_QUERY_TABLE_SIZE @staticmethod def get_id() -> str: @@ -67,16 +71,15 @@ def execute(self, query: str) -> Any: except Exception as e: raise ConnectorError(str(e)) - @staticmethod - def sql_to_db_mapping(value: str) -> str: - """ - Gets the python datatype of value and converts python datatype - to corresponding DB datatype + def sql_to_db_mapping(self, value: str) -> str: + """Gets the python datatype of value and converts python datatype to + corresponding DB datatype. + Args: - value (str): _description_ + value (str): python datatype Returns: - str: _description_ + str: database columntype """ python_type = type(value) @@ -88,8 +91,22 @@ def sql_to_db_mapping(value: str) -> str: } return mapping.get(python_type, "string") - @staticmethod - def get_create_table_query(table: str) -> str: + def get_create_table_base_query(self, table: str) -> str: + """Function to create a base create table sql query. + + Args: + table (str): db-connector table name + Format {database}.{schema}.{table} + Returns: + str: generates a create sql base query with the constant columns + """ + bigquery_table_name = str.lower(table).split(".") + if len(bigquery_table_name) != self.big_query_table_size: + raise ValueError( + f"Invalid table name format: '{table}'. " + "Please ensure the BigQuery table is in the form of " + "{database}.{schema}.{table}." + ) sql_query = ( f"CREATE TABLE IF NOT EXISTS {table} " f"(id string," @@ -97,13 +114,52 @@ def get_create_table_query(table: str) -> str: ) return sql_query + @staticmethod + def get_sql_insert_query(table_name: str, sql_keys: list[str]) -> str: + """Function to generate parameterised insert sql query. + + Args: + table_name (str): db-connector table name + sql_keys (list[str]): column names + + Returns: + str: returns a string with parameterised insert sql query + """ + keys_str = ",".join(sql_keys) + values_placeholder = ",".join(["@" + key for key in sql_keys]) + return f"INSERT INTO {table_name} ({keys_str}) VALUES ({values_placeholder})" + def execute_query( self, engine: Any, sql_query: str, sql_values: Any, **kwargs: Any ) -> None: - table_name = str(kwargs.get("table_name")) + """Executes create/insert query. + + Args: + engine (Any): big query client engine + sql_query (str): sql create table/insert into table query + sql_values (Any): sql data to be insertted + + Raises: + BigQueryForbiddenException: raised due to insufficient permission + BigQueryNotFoundException: raised due to unavailable resource + ColumnMissingException: raised due to missing columns in table query + """ + table_name = kwargs.get("table_name", None) + if table_name is None: + raise ValueError( + "Please enter a valid table_name to to create/insert table" + ) + sql_keys = list(kwargs.get("sql_keys", [])) try: if sql_values: - query_job = engine.query(sql_query, job_config=sql_values) + query_parameters = [ + bigquery.ScalarQueryParameter(key, "STRING", value) + for key, value in zip(sql_keys, sql_values) + ] + query_params = bigquery.QueryJobConfig( + query_parameters=query_parameters + ) + query_job = engine.query(sql_query, job_config=query_params) else: query_job = engine.query(sql_query) query_job.result() @@ -127,3 +183,34 @@ def execute_query( schema=schema, table_name=table, ) from e + + def get_information_schema(self, table_name: str) -> dict[str, str]: + """Function to generate information schema of the big query table. + + Args: + table_name (str): db-connector table name + Format {database}.{schema}.{table} + Returns: + dict[str, str]: a dictionary contains db column name and + db column types of corresponding table + """ + bigquery_table_name = str.lower(table_name).split(".") + if len(bigquery_table_name) != self.big_query_table_size: + raise ValueError( + f"Invalid table name format: '{table_name}'. " + "Please ensure the BigQuery table is in the form of " + "{database}.{schema}.{table}." + ) + database = bigquery_table_name[0] + schema = bigquery_table_name[1] + table = bigquery_table_name[2] + query = ( + "SELECT column_name, data_type FROM " + f"{database}.{schema}.INFORMATION_SCHEMA.COLUMNS WHERE " + f"table_name = '{table}'" + ) + results = self.execute(query=query) + column_types: dict[str, str] = self.get_db_column_types( + columns_with_types=results + ) + return column_types diff --git a/unstract/connectors/src/unstract/connectors/databases/mariadb/mariadb.py b/unstract/connectors/src/unstract/connectors/databases/mariadb/mariadb.py index 6270c87d4..753336d54 100644 --- a/unstract/connectors/src/unstract/connectors/databases/mariadb/mariadb.py +++ b/unstract/connectors/src/unstract/connectors/databases/mariadb/mariadb.py @@ -4,7 +4,6 @@ import pymysql from pymysql.connections import Connection -from unstract.connectors.databases.mysql import MySQL from unstract.connectors.databases.mysql_handler import MysqlHandler from unstract.connectors.databases.unstract_db import UnstractDB @@ -60,21 +59,8 @@ def get_engine(self) -> Connection: # type: ignore[type-arg] ) return con - @staticmethod - def sql_to_db_mapping(value: str) -> str: - """ - Gets the python datatype of value and converts python datatype - to corresponding DB datatype - Args: - value (str): _description_ - - Returns: - str: returns Mysql.sql_to_db_mapping - - Note: - Mysql and Mariadb share same SQL column type - """ - return str(MySQL.sql_to_db_mapping(value=value)) + def sql_to_db_mapping(self, value: str) -> str: + return str(MysqlHandler.sql_to_db_mapping(value=value)) def execute_query( self, engine: Any, sql_query: str, sql_values: Any, **kwargs: Any diff --git a/unstract/connectors/src/unstract/connectors/databases/mssql/mssql.py b/unstract/connectors/src/unstract/connectors/databases/mssql/mssql.py index e5cbf74c1..3ff943f4d 100644 --- a/unstract/connectors/src/unstract/connectors/databases/mssql/mssql.py +++ b/unstract/connectors/src/unstract/connectors/databases/mssql/mssql.py @@ -66,8 +66,15 @@ def get_engine(self) -> Connection: database=self.database, ) - @staticmethod - def get_create_table_query(table: str) -> str: + def get_create_table_base_query(self, table: str) -> str: + """Function to create a base create table sql query. + + Args: + table (str): db-connector table name + + Returns: + str: generates a create sql base query with the constant columns + """ sql_query = ( f"IF NOT EXISTS (" f"SELECT * FROM sysobjects WHERE name='{table}' and xtype='U')" @@ -80,11 +87,23 @@ def get_create_table_query(table: str) -> str: def execute_query( self, engine: Any, sql_query: str, sql_values: Any, **kwargs: Any ) -> None: + """Executes create/insert query. + + Args: + engine (Any): mssql client engine + sql_query (str): sql create table/insert into table query + sql_values (Any): sql data to be insertted + + Raises: + InvalidSyntaxException: raised due to invalid syntax + ColumnMissingException: raised due to missing columns in table query + """ table_name = kwargs.get("table_name", None) try: with engine.cursor() as cursor: if sql_values: - cursor.execute(sql_query, sql_values) + params = tuple(sql_values) + cursor.execute(sql_query, params) else: cursor.execute(sql_query) engine.commit() diff --git a/unstract/connectors/src/unstract/connectors/databases/mysql/mysql.py b/unstract/connectors/src/unstract/connectors/databases/mysql/mysql.py index eec7b79ca..1a66f3dba 100644 --- a/unstract/connectors/src/unstract/connectors/databases/mysql/mysql.py +++ b/unstract/connectors/src/unstract/connectors/databases/mysql/mysql.py @@ -1,4 +1,3 @@ -import datetime import os from typing import Any @@ -60,25 +59,8 @@ def get_engine(self) -> Connection: # type: ignore[type-arg] ) return con - @staticmethod - def sql_to_db_mapping(value: str) -> str: - """ - Gets the python datatype of value and converts python datatype - to corresponding DB datatype - Args: - value (str): _description_ - - Returns: - str: _description_ - """ - python_type = type(value) - mapping = { - str: "LONGTEXT", - int: "BIGINT", - float: "FLOAT", - datetime.datetime: "TIMESTAMP", - } - return mapping.get(python_type, "LONGTEXT") + def sql_to_db_mapping(self, value: str) -> str: + return str(MysqlHandler.sql_to_db_mapping(value=value)) def execute_query( self, engine: Any, sql_query: str, sql_values: Any, **kwargs: Any diff --git a/unstract/connectors/src/unstract/connectors/databases/mysql_handler.py b/unstract/connectors/src/unstract/connectors/databases/mysql_handler.py index 713c42bc0..16640f776 100644 --- a/unstract/connectors/src/unstract/connectors/databases/mysql_handler.py +++ b/unstract/connectors/src/unstract/connectors/databases/mysql_handler.py @@ -1,3 +1,4 @@ +import datetime import logging from typing import Any @@ -13,6 +14,26 @@ class MysqlHandler: + @staticmethod + def sql_to_db_mapping(value: str) -> str: + """Function to generate information schema of the corresponding table. + + Args: + table_name (str): db-connector table name + + Returns: + dict[str, str]: a dictionary contains db column name and + db column types of corresponding table + """ + python_type = type(value) + mapping = { + str: "LONGTEXT", + int: "BIGINT", + float: "FLOAT", + datetime.datetime: "TIMESTAMP", + } + return mapping.get(python_type, "LONGTEXT") + @staticmethod def execute_query( engine: Any, diff --git a/unstract/connectors/src/unstract/connectors/databases/oracle-db/__init__.py b/unstract/connectors/src/unstract/connectors/databases/oracle-db/__init__.py new file mode 100644 index 000000000..6ed3e6d44 --- /dev/null +++ b/unstract/connectors/src/unstract/connectors/databases/oracle-db/__init__.py @@ -0,0 +1,9 @@ +from .oracle_db import OracleDB + +metadata = { + "name": OracleDB.__name__, + "version": "1.0.0", + "connector": OracleDB, + "description": "OracleDB connector", + "is_active": True, +} diff --git a/unstract/connectors/src/unstract/connectors/databases/oracle-db/oracle_db.py b/unstract/connectors/src/unstract/connectors/databases/oracle-db/oracle_db.py new file mode 100644 index 000000000..ae3369e94 --- /dev/null +++ b/unstract/connectors/src/unstract/connectors/databases/oracle-db/oracle_db.py @@ -0,0 +1,166 @@ +import datetime +import os +from typing import Any + +import oracledb +from oracledb.connection import Connection + +from unstract.connectors.databases.unstract_db import UnstractDB + + +class OracleDB(UnstractDB): + def __init__(self, settings: dict[str, Any]): + super().__init__("OracleDB") + + self.config_dir = settings.get("config_dir", "/opt/OracleCloud/MYDB") + self.user = settings.get("user", "admin") + self.password = settings.get("password", "") + self.dsn = settings.get("dsn", "") + self.wallet_location = settings.get("wallet_location", "/opt/OracleCloud/MYDB") + self.wallet_password = settings.get("wallet_password", "") + if not ( + self.config_dir + and self.user + and self.password + and self.dsn + and self.wallet_location + and self.wallet_password + ): + raise ValueError("Ensure all connection parameters are provided.") + + @staticmethod + def get_id() -> str: + return "oracledb|49e3b4c1-9c34-43fc-89a4-96950821ade0" + + @staticmethod + def get_name() -> str: + return "OracleDB" + + @staticmethod + def get_description() -> str: + return "oracledb Database" + + @staticmethod + def get_icon() -> str: + return "/icons/connector-icons/Oracle.png" + + @staticmethod + def get_json_schema() -> str: + f = open(f"{os.path.dirname(__file__)}/static/json_schema.json") + schema = f.read() + f.close() + return schema + + @staticmethod + def can_write() -> bool: + return True + + @staticmethod + def can_read() -> bool: + return True + + def get_engine(self) -> Connection: + con = oracledb.connect( + config_dir=self.config_dir, + user=self.user, + password=self.password, + dsn=self.dsn, + wallet_location=self.wallet_location, + wallet_password=self.wallet_password, + ) + return con + + def sql_to_db_mapping(self, value: str) -> str: + """Function to generate information schema of the corresponding table. + + Args: + table_name (str): db-connector table name + + Returns: + dict[str, str]: a dictionary contains db column name and + db column types of corresponding table + """ + python_type = type(value) + mapping = { + str: "CLOB", + int: "NUMBER", + float: "LONG", + datetime.datetime: "TIMESTAMP", + } + return mapping.get(python_type, "CLOB") + + def get_create_table_base_query(self, table: str) -> str: + """Function to create a base create table sql query. + + Args: + table (str): db-connector table name + + Returns: + str: generates a create sql base query with the constant columns + """ + sql_query = ( + f"CREATE TABLE IF NOT EXISTS {table} " + f"(id VARCHAR2(32767) , " + f"created_by VARCHAR2(32767), created_at TIMESTAMP, " + ) + return sql_query + + @staticmethod + def get_sql_insert_query(table_name: str, sql_keys: list[str]) -> str: + """Function to generate parameterised insert sql query. + + Args: + table_name (str): db-connector table name + sql_keys (list[str]): column names + + Returns: + str: returns a string with parameterised insert sql query + """ + columns = ", ".join(sql_keys) + values = [] + for key in sql_keys: + if key == "created_at": + values.append("TO_TIMESTAMP(:created_at, 'YYYY-MM-DD HH24:MI:SS.FF')") + else: + values.append(f":{key}") + return f"INSERT INTO {table_name} ({columns}) VALUES ({', '.join(values)})" + + def execute_query( + self, engine: Any, sql_query: str, sql_values: Any, **kwargs: Any + ) -> None: + """Executes create/insert query. + + Args: + engine (Any): oracle db client engine + sql_query (str): sql create table/insert into table query + sql_values (Any): sql data to be insertted + """ + sql_keys = list(kwargs.get("sql_keys", [])) + with engine.cursor() as cursor: + if sql_values: + params = dict(zip(sql_keys, sql_values)) + cursor.execute(sql_query, params) + else: + cursor.execute(sql_query) + engine.commit() + + def get_information_schema(self, table_name: str) -> dict[str, str]: + """Function to generate information schema of the big query table. + + Args: + table_name (str): db-connector table name + + Returns: + dict[str, str]: a dictionary contains db column name and + db column types of corresponding table + """ + query = ( + "SELECT column_name, data_type FROM " + "user_tab_columns WHERE " + f"table_name = UPPER('{table_name}')" + ) + results = self.execute(query=query) + column_types: dict[str, str] = self.get_db_column_types( + columns_with_types=results + ) + return column_types diff --git a/unstract/connectors/src/unstract/connectors/databases/oracle-db/static/json_schema.json b/unstract/connectors/src/unstract/connectors/databases/oracle-db/static/json_schema.json new file mode 100644 index 000000000..80581237a --- /dev/null +++ b/unstract/connectors/src/unstract/connectors/databases/oracle-db/static/json_schema.json @@ -0,0 +1,59 @@ +{ + "title": "Oracle DB database", + "description": "Designed with a patented new architecture to handle all aspects of data and analytics", + "type": "object", + "required": [ + "connectorName", + "config_dir", + "user", + "password", + "dsn", + "wallet_location", + "wallet_password" + ], + "properties": { + "connectorName": { + "type": "string", + "title": "Name of the connector", + "default": "Unstract's Oracle DB connector" + }, + "config_dir": { + "type": "string", + "title": "Connector Directory", + "description": "Specifies the directory containing tnsnames.ora ", + "default": "/opt/OracleCloud/MYDB" + }, + "user": { + "type": "string", + "title": "User", + "description": "Specifies the database user ", + "default": "admin" + }, + "password": { + "type": "string", + "title": "Password", + "description": "Specifies the database user password ", + "format": "password", + "default": "" + }, + "dsn": { + "type": "string", + "title": "DSN", + "description": "Specify the desired network or the TNS names", + "default": "" + }, + "wallet_location": { + "type": "string", + "title": "Wallet Location", + "description": "Specifies the directory containing the PEM file (ewallet.pem)", + "default": "/opt/OracleCloud/MYDB" + }, + "wallet_password": { + "type": "string", + "title": "Wallet Password", + "description": "Specifies the password for the PEM file", + "format": "password", + "default": "" + } + } +} diff --git a/unstract/connectors/src/unstract/connectors/databases/redshift/redshift.py b/unstract/connectors/src/unstract/connectors/databases/redshift/redshift.py index 08afce936..7cb82b6ce 100644 --- a/unstract/connectors/src/unstract/connectors/databases/redshift/redshift.py +++ b/unstract/connectors/src/unstract/connectors/databases/redshift/redshift.py @@ -63,17 +63,7 @@ def get_engine(self) -> connection: options=f"-c search_path={self.schema}", ) - @staticmethod - def sql_to_db_mapping(value: str) -> str: - """ - Gets the python datatype of value and converts python datatype - to corresponding DB datatype - Args: - value (str): _description_ - - Returns: - str: _description_ - """ + def sql_to_db_mapping(self, value: str) -> str: python_type = type(value) mapping = { str: "VARCHAR(65535)", @@ -83,8 +73,7 @@ def sql_to_db_mapping(value: str) -> str: } return mapping.get(python_type, "VARCHAR(65535)") - @staticmethod - def get_create_table_query(table: str) -> str: + def get_create_table_base_query(self, table: str) -> str: sql_query = ( f"CREATE TABLE IF NOT EXISTS {table} " f"(id VARCHAR(65535) ," diff --git a/unstract/connectors/src/unstract/connectors/databases/snowflake/snowflake.py b/unstract/connectors/src/unstract/connectors/databases/snowflake/snowflake.py index 4d8dc8e27..85f218963 100644 --- a/unstract/connectors/src/unstract/connectors/databases/snowflake/snowflake.py +++ b/unstract/connectors/src/unstract/connectors/databases/snowflake/snowflake.py @@ -67,8 +67,7 @@ def get_engine(self) -> SnowflakeConnection: ) return con - @staticmethod - def get_create_table_query(table: str) -> str: + def get_create_table_base_query(self, table: str) -> str: sql_query = ( f"CREATE TABLE {table} IF NOT EXISTS " f"(id TEXT ," @@ -98,3 +97,11 @@ def execute_query( schema=self.schema, table_name=table_name, ) from e + + def get_information_schema(self, table_name: str) -> dict[str, str]: + query = f"describe table {table_name}" + column_types: dict[str, str] = {} + results = self.execute(query=query) + for column in results: + column_types[column[0].lower()] = column[1].split("(")[0] + return column_types diff --git a/unstract/connectors/src/unstract/connectors/databases/unstract_db.py b/unstract/connectors/src/unstract/connectors/databases/unstract_db.py index 7ec82abc2..1eed449fc 100644 --- a/unstract/connectors/src/unstract/connectors/databases/unstract_db.py +++ b/unstract/connectors/src/unstract/connectors/databases/unstract_db.py @@ -79,16 +79,15 @@ def execute(self, query: str) -> Any: except Exception as e: raise ConnectorError(str(e)) from e - @staticmethod - def sql_to_db_mapping(value: str) -> str: + def sql_to_db_mapping(self, value: str) -> str: """ Gets the python datatype of value and converts python datatype to corresponding DB datatype Args: - value (str): _description_ + value (str): python datatype Returns: - str: _description_ + str: database columntype """ python_type = type(value) mapping = { @@ -99,8 +98,15 @@ def sql_to_db_mapping(value: str) -> str: } return mapping.get(python_type, "TEXT") - @staticmethod - def get_create_table_query(table: str) -> str: + def get_create_table_base_query(self, table: str) -> str: + """Function to create a base create table sql query. + + Args: + table (str): db-connector table name + + Returns: + str: generates a create sql base query with the constant columns + """ sql_query = ( f"CREATE TABLE IF NOT EXISTS {table} " f"(id TEXT , " @@ -108,8 +114,89 @@ def get_create_table_query(table: str) -> str: ) return sql_query + def create_table_query(self, table: str, database_entry: dict[str, Any]) -> Any: + """Function to create a create table sql query. + + Args: + table (str): db-connector table name + database_entry (dict[str, Any]): a dictionary of column name and types + + Returns: + Any: generates a create sql query for all the columns + """ + PERMANENT_COLUMNS = ["created_by", "created_at"] + + sql_query = "" + create_table_query = self.get_create_table_base_query(table=table) + sql_query += create_table_query + + for key, val in database_entry.items(): + if key not in PERMANENT_COLUMNS: + sql_type = self.sql_to_db_mapping(val) + sql_query += f"{key} {sql_type}, " + + return sql_query.rstrip(", ") + ")" + + @staticmethod + def get_sql_insert_query(table_name: str, sql_keys: list[str]) -> str: + """Function to generate parameterised insert sql query. + + Args: + table_name (str): db-connector table name + sql_keys (list[str]): column names + + Returns: + str: returns a string with parameterised insert sql query + """ + keys_str = ",".join(sql_keys) + values_placeholder = ",".join(["%s" for _ in sql_keys]) + return f"INSERT INTO {table_name} ({keys_str}) VALUES ({values_placeholder})" + @abstractmethod def execute_query( self, engine: Any, sql_query: str, sql_values: Any, **kwargs: Any ) -> None: + """Executes create/insert query. + + Args: + engine (Any): big query client engine + sql_query (str): sql create table/insert into table query + sql_values (Any): sql data to be insertteds + """ pass + + def get_information_schema(self, table_name: str) -> dict[str, str]: + """Function to generate information schema of the corresponding table. + + Args: + table_name (str): db-connector table name + + Returns: + dict[str, str]: a dictionary contains db column name and + db column types of corresponding table + """ + table_name = str.lower(table_name) + query = ( + "SELECT column_name, data_type FROM " + "information_schema.columns WHERE " + f"table_name = '{table_name}'" + ) + results = self.execute(query=query) + column_types: dict[str, str] = self.get_db_column_types( + columns_with_types=results + ) + return column_types + + def get_db_column_types(self, columns_with_types: Any) -> dict[str, str]: + """Converts db results columns_with_types to dict. + + Args: + columns_with_types (Any): database information schema array + + Returns: + dict[str, str]: a dictionary containing db column-name and column-type + """ + column_types: dict[str, str] = {} + for column_name, data_type in columns_with_types: + column_types[column_name] = data_type + return column_types