airbyte/airbyte-cdk/python/airbyte_cdk/sources/declarative/declarative_stream.py

#
# Copyright (c) 2023 Airbyte, Inc., all rights reserved.
#

from dataclasses import InitVar, dataclass, field
from typing import Any, Iterable, List, Mapping, MutableMapping, Optional, Union

from airbyte_cdk.models import SyncMode
from airbyte_cdk.sources.declarative.interpolation import InterpolatedString
from airbyte_cdk.sources.declarative.retrievers.retriever import Retriever
from airbyte_cdk.sources.declarative.schema import DefaultSchemaLoader
from airbyte_cdk.sources.declarative.schema.schema_loader import SchemaLoader
from airbyte_cdk.sources.declarative.transformations import RecordTransformation
from airbyte_cdk.sources.declarative.types import Config, StreamSlice
from airbyte_cdk.sources.streams.core import Stream


@dataclass
class DeclarativeStream(Stream):
    """
    DeclarativeStream is a Stream that delegates most of its logic to its schema_load and retriever

    Attributes:
        name (str): stream name
        primary_key (Optional[Union[str, List[str], List[List[str]]]]): the primary key of the stream
        schema_loader (SchemaLoader): The schema loader
        retriever (Retriever): The retriever
        config (Config): The user-provided configuration as specified by the source's spec
        stream_cursor_field (Optional[Union[InterpolatedString, str]]): The cursor field
        transformations (List[RecordTransformation]): A list of transformations to be applied to each output record in the
        stream. Transformations are applied in the order in which they are defined.
    """

    retriever: Retriever
    config: Config
    parameters: InitVar[Mapping[str, Any]]
    name: str
    primary_key: Optional[Union[str, List[str], List[List[str]]]]
    schema_loader: Optional[SchemaLoader] = None
    _name: str = field(init=False, repr=False, default="")
    _primary_key: str = field(init=False, repr=False, default="")
    _schema_loader: SchemaLoader = field(init=False, repr=False, default=None)
    stream_cursor_field: Optional[Union[InterpolatedString, str]] = None
    transformations: List[RecordTransformation] = None

    def __post_init__(self, parameters: Mapping[str, Any]):
        self.stream_cursor_field = InterpolatedString.create(self.stream_cursor_field, parameters=parameters)
        self.transformations = self.transformations or []
        self._schema_loader = self.schema_loader if self.schema_loader else DefaultSchemaLoader(config=self.config, parameters=parameters)

    @property
    def primary_key(self) -> Optional[Union[str, List[str], List[List[str]]]]:
        return self._primary_key

    @primary_key.setter
    def primary_key(self, value: str) -> None:
        if not isinstance(value, property):
            self._primary_key = value

    @property
    def name(self) -> str:
        """
        :return: Stream name. By default this is the implementing class name, but it can be overridden as needed.
        """
        return self._name

    @name.setter
    def name(self, value: str) -> None:
        if not isinstance(value, property):
            self._name = value

    @property
    def state(self) -> MutableMapping[str, Any]:
        return self.retriever.state

    @state.setter
    def state(self, value: MutableMapping[str, Any]):
        """State setter, accept state serialized by state getter."""
        self.retriever.state = value

    def get_updated_state(self, current_stream_state: MutableMapping[str, Any], latest_record: Mapping[str, Any]):
        return self.state

    @property
    def cursor_field(self) -> Union[str, List[str]]:
        """
        Override to return the default cursor field used by this stream e.g: an API entity might always use created_at as the cursor field.
        :return: The name of the field used as a cursor. If the cursor is nested, return an array consisting of the path to the cursor.
        """
        cursor = self.stream_cursor_field.eval(self.config)
        return cursor if cursor else []

    def read_records(
        self,
        sync_mode: SyncMode,
        cursor_field: List[str] = None,
        stream_slice: Mapping[str, Any] = None,
        stream_state: Mapping[str, Any] = None,
    ) -> Iterable[Mapping[str, Any]]:
        for record in self.retriever.read_records(sync_mode, cursor_field, stream_slice, stream_state):
            yield self._apply_transformations(record, self.config, stream_slice)

    def _apply_transformations(self, record: Mapping[str, Any], config: Config, stream_slice: StreamSlice):
        output_record = record
        for transformation in self.transformations:
            output_record = transformation.transform(record, config=config, stream_state=self.state, stream_slice=stream_slice)

        return output_record

    def get_json_schema(self) -> Mapping[str, Any]:
        """
        :return: A dict of the JSON schema representing this stream.

        The default implementation of this method looks for a JSONSchema file with the same name as this stream's "name" property.
        Override as needed.
        """
        return self._schema_loader.get_json_schema()

    def stream_slices(
        self, *, sync_mode: SyncMode, cursor_field: List[str] = None, stream_state: Mapping[str, Any] = None
    ) -> Iterable[Optional[Mapping[str, Any]]]:
        """
        Override to define the slices for this stream. See the stream slicing section of the docs for more information.

        :param sync_mode:
        :param cursor_field:
        :param stream_state:
        :return:
        """
        # this is not passing the cursor field because it is known at init time
        return self.retriever.stream_slices(sync_mode=sync_mode, stream_state=stream_state)