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2babaf5..40e2f4b 100644 --- a/tap_postgres/client.py +++ b/tap_postgres/client.py @@ -6,6 +6,7 @@ from __future__ import annotations import datetime +import functools import json import select import typing as t @@ -16,19 +17,59 @@ import psycopg2 import singer_sdk.helpers._typing import sqlalchemy as sa +import sqlalchemy.types from psycopg2 import extras from singer_sdk import SQLConnector, SQLStream -from singer_sdk import typing as th +from singer_sdk.connectors.sql import SQLToJSONSchema from singer_sdk.helpers._state import increment_state from singer_sdk.helpers._typing import TypeConformanceLevel from singer_sdk.streams.core import REPLICATION_INCREMENTAL +from sqlalchemy.dialects import postgresql if TYPE_CHECKING: from singer_sdk.helpers.types import Context from sqlalchemy.dialects import postgresql from sqlalchemy.engine import Engine from sqlalchemy.engine.reflection import Inspector - from sqlalchemy.types import TypeEngine + + +class PostgresSQLToJSONSchema(SQLToJSONSchema): + """Custom SQL to JSON Schema conversion for Postgres.""" + + def __init__(self, dates_as_string: bool, *args, **kwargs): + """Initialize the SQL to JSON Schema converter.""" + super().__init__(*args, **kwargs) + self.dates_as_string = dates_as_string + + @SQLToJSONSchema.to_jsonschema.register # type: ignore[attr-defined] + def array_to_jsonschema(self, column_type: postgresql.ARRAY) -> dict: + """Override the default mapping for NUMERIC columns. + + For example, a scale of 4 translates to a multipleOf 0.0001. + """ + return { + "type": "array", + "items": self.to_jsonschema(column_type.item_type), + } + + @SQLToJSONSchema.to_jsonschema.register # type: ignore[attr-defined] + def json_to_jsonschema(self, column_type: postgresql.JSON) -> dict: + """Override the default mapping for JSON and JSONB columns.""" + return {"type": ["string", "number", "integer", "array", "object", "boolean"]} + + @SQLToJSONSchema.to_jsonschema.register # type: ignore[attr-defined] + def datetime_to_jsonschema(self, column_type: sqlalchemy.types.DateTime) -> dict: + """Override the default mapping for DATETIME columns.""" + if self.dates_as_string: + return {"type": ["string", "null"]} + return super().datetime_to_jsonschema(column_type) + + @SQLToJSONSchema.to_jsonschema.register # type: ignore[attr-defined] + def date_to_jsonschema(self, column_type: sqlalchemy.types.Date) -> dict: + """Override the default mapping for DATE columns.""" + if self.dates_as_string: + return {"type": ["string", "null"]} + return super().date_to_jsonschema(column_type) def patched_conform( @@ -115,131 +156,10 @@ def __init__( super().__init__(config=config, sqlalchemy_url=sqlalchemy_url) - # Note super is static, we can get away with this because this is called once - # and is luckily referenced via the instance of the class - def to_jsonschema_type( # type: ignore[override] - self, - sql_type: str | TypeEngine | type[TypeEngine] | postgresql.ARRAY | Any, - ) -> dict: - """Return a JSON Schema representation of the provided type. - - Overridden from SQLConnector to correctly handle JSONB and Arrays. - - Also Overridden in order to call our instance method `sdk_typing_object()` - instead of the static version - - By default will call `typing.to_jsonschema_type()` for strings and SQLAlchemy - types. - - Args: - sql_type: The string representation of the SQL type, a SQLAlchemy - TypeEngine class or object, or a custom-specified object. - - Raises: - ValueError: If the type received could not be translated to jsonschema. - - Returns: - The JSON Schema representation of the provided type. - - """ - type_name = None - if isinstance(sql_type, str): - type_name = sql_type - elif isinstance(sql_type, sa.types.TypeEngine): - type_name = type(sql_type).__name__ - - if ( - type_name is not None - and isinstance(sql_type, sa.dialects.postgresql.ARRAY) - and type_name == "ARRAY" - ): - array_type = self.sdk_typing_object(sql_type.item_type) - return th.ArrayType(array_type).type_dict - return self.sdk_typing_object(sql_type).type_dict - - def sdk_typing_object( - self, - from_type: str | TypeEngine | type[TypeEngine], - ) -> ( - th.DateTimeType - | th.NumberType - | th.IntegerType - | th.DateType - | th.StringType - | th.BooleanType - | th.CustomType - ): - """Return the JSON Schema dict that describes the sql type. - - Args: - from_type: The SQL type as a string or as a TypeEngine. If a TypeEngine is - provided, it may be provided as a class or a specific object instance. - - Raises: - ValueError: If the `from_type` value is not of type `str` or `TypeEngine`. - - Returns: - A compatible JSON Schema type definition. - """ - # NOTE: This is an ordered mapping, with earlier mappings taking precedence. If - # the SQL-provided type contains the type name on the left, the mapping will - # return the respective singer type. - # NOTE: jsonb and json should theoretically be th.AnyType().type_dict but that - # causes problems down the line with an error like: - # singer_sdk.helpers._typing.EmptySchemaTypeError: Could not detect type from - # empty type_dict. Did you forget to define a property in the stream schema? - sqltype_lookup: dict[ - str, - th.DateTimeType - | th.NumberType - | th.IntegerType - | th.DateType - | th.StringType - | th.BooleanType - | th.CustomType, - ] = { - "jsonb": th.CustomType( - {"type": ["string", "number", "integer", "array", "object", "boolean"]} - ), - "json": th.CustomType( - {"type": ["string", "number", "integer", "array", "object", "boolean"]} - ), - "timestamp": th.DateTimeType(), - "datetime": th.DateTimeType(), - "date": th.DateType(), - "int": th.IntegerType(), - "numeric": th.NumberType(), - "decimal": th.NumberType(), - "double": th.NumberType(), - "float": th.NumberType(), - "real": th.NumberType(), - "float4": th.NumberType(), - "string": th.StringType(), - "text": th.StringType(), - "char": th.StringType(), - "bool": th.BooleanType(), - "variant": th.StringType(), - } - if self.config["dates_as_string"] is True: - sqltype_lookup["date"] = th.StringType() - sqltype_lookup["datetime"] = th.StringType() - if isinstance(from_type, str): - type_name = from_type - elif isinstance(from_type, sa.types.TypeEngine): - type_name = type(from_type).__name__ - elif isinstance(from_type, type) and issubclass(from_type, sa.types.TypeEngine): - type_name = from_type.__name__ - else: - raise ValueError( - "Expected `str` or a SQLAlchemy `TypeEngine` object or type." - ) - - # Look for the type name within the known SQL type names: - for sqltype, jsonschema_type in sqltype_lookup.items(): - if sqltype.lower() in type_name.lower(): - return jsonschema_type - - return sqltype_lookup["string"] # safe failover to str + @functools.cached_property + def sql_to_jsonschema(self): + """Return a mapping of SQL types to JSON Schema types.""" + return PostgresSQLToJSONSchema(dates_as_string=self.config["dates_as_string"]) def get_schema_names(self, engine: Engine, inspected: Inspector) -> list[str]: """Return a list of schema names in DB, or overrides with user-provided values.