chore(refactor): refactor partition generator to take any stream slicer

airbyte_cdk/sources/declarative/concurrent_declarative_source.py

@@ -3,7 +3,7 @@
 #
 
 import logging
-from typing import Any, Generic, Iterator, List, Mapping, Optional, Tuple, Union
+from typing import Any, Generic, Iterator, List, Mapping, Optional, Tuple, Union, Callable
 
 from airbyte_cdk.models import (
     AirbyteCatalog,
@@ -27,18 +27,24 @@
 )
 from airbyte_cdk.sources.declarative.models.declarative_component_schema import (
     DatetimeBasedCursor as DatetimeBasedCursorModel,
+    DeclarativeStream as DeclarativeStreamModel,
 )
 from airbyte_cdk.sources.declarative.parsers.model_to_component_factory import (
     ModelToComponentFactory,
+    ComponentDefinition,
 )
 from airbyte_cdk.sources.declarative.requesters import HttpRequester
-from airbyte_cdk.sources.declarative.retrievers import SimpleRetriever
+from airbyte_cdk.sources.declarative.retrievers import SimpleRetriever, Retriever
+from airbyte_cdk.sources.declarative.stream_slicers.declarative_partition_generator import (
+    DeclarativePartitionFactory,
+    StreamSlicerPartitionGenerator,
+)
 from airbyte_cdk.sources.declarative.transformations.add_fields import AddFields
 from airbyte_cdk.sources.declarative.types import ConnectionDefinition
 from airbyte_cdk.sources.source import TState
+from airbyte_cdk.sources.types import Config, StreamState
 from airbyte_cdk.sources.streams import Stream
 from airbyte_cdk.sources.streams.concurrent.abstract_stream import AbstractStream
-from airbyte_cdk.sources.streams.concurrent.adapters import CursorPartitionGenerator
 from airbyte_cdk.sources.streams.concurrent.availability_strategy import (
     AlwaysAvailableAvailabilityStrategy,
 )
@@ -213,31 +219,18 @@ def _group_streams(
                         )
                     )
 
-                    # This is an optimization so that we don't invoke any cursor or state management flows within the
-                    # low-code framework because state management is handled through the ConcurrentCursor.
-                    if (
-                        declarative_stream
-                        and declarative_stream.retriever
-                        and isinstance(declarative_stream.retriever, SimpleRetriever)
-                    ):
-                        # Also a temporary hack. In the legacy Stream implementation, as part of the read, set_initial_state() is
-                        # called to instantiate incoming state on the cursor. Although we no longer rely on the legacy low-code cursor
-                        # for concurrent checkpointing, low-code components like StopConditionPaginationStrategyDecorator and
-                        # ClientSideIncrementalRecordFilterDecorator still rely on a DatetimeBasedCursor that is properly initialized
-                        # with state.
-                        if declarative_stream.retriever.cursor:
-                            declarative_stream.retriever.cursor.set_initial_state(
-                                stream_state=stream_state
-                            )
-                        declarative_stream.retriever.cursor = None
-
-                    partition_generator = CursorPartitionGenerator(
-                        stream=declarative_stream,
-                        message_repository=self.message_repository,  # type: ignore  # message_repository is always instantiated with a value by factory
-                        cursor=cursor,
-                        connector_state_converter=connector_state_converter,
-                        cursor_field=[cursor.cursor_field.cursor_field_key],
-                        slice_boundary_fields=cursor.slice_boundary_fields,
+                    partition_generator = StreamSlicerPartitionGenerator(
+                        DeclarativePartitionFactory(
+                            declarative_stream.name,
+                            declarative_stream.get_json_schema(),
+                            self._retriever_factory(
+                                name_to_stream_mapping[declarative_stream.name],
+                                config,
+                                stream_state,
+                            ),
+                            self.message_repository,
+                        ),
+                        cursor,
                     )
 
                     concurrent_streams.append(
@@ -350,3 +343,34 @@ def _remove_concurrent_streams_from_catalog(
                 if stream.stream.name not in concurrent_stream_names
             ]
         )
+
+    def _retriever_factory(
+        self, stream_config: ComponentDefinition, source_config: Config, stream_state: StreamState
+    ) -> Callable[[], Retriever]:
+        def _factory_method() -> Retriever:
+            declarative_stream: DeclarativeStream = self._constructor.create_component(
+                DeclarativeStreamModel,
+                stream_config,
+                source_config,
+                emit_connector_builder_messages=self._emit_connector_builder_messages,
+            )
+
+            # This is an optimization so that we don't invoke any cursor or state management flows within the
+            # low-code framework because state management is handled through the ConcurrentCursor.
+            if (
+                declarative_stream
+                and declarative_stream.retriever
+                and isinstance(declarative_stream.retriever, SimpleRetriever)
+            ):
+                # Also a temporary hack. In the legacy Stream implementation, as part of the read, set_initial_state() is
+                # called to instantiate incoming state on the cursor. Although we no longer rely on the legacy low-code cursor
+                # for concurrent checkpointing, low-code components like StopConditionPaginationStrategyDecorator and
+                # ClientSideIncrementalRecordFilterDecorator still rely on a DatetimeBasedCursor that is properly initialized
+                # with state.
+                if declarative_stream.retriever.cursor:
+                    declarative_stream.retriever.cursor.set_initial_state(stream_state=stream_state)
+                declarative_stream.retriever.cursor = None
+
+            return declarative_stream.retriever
+
+        return _factory_method

airbyte_cdk/sources/declarative/manifest_declarative_source.py

@@ -8,7 +8,7 @@
 import re
 from copy import deepcopy
 from importlib import metadata
-from typing import Any, Dict, Iterator, List, Mapping, Optional, Tuple, Union
+from typing import Any, Dict, Iterator, List, Mapping, Optional, Tuple
 
 import yaml
 from airbyte_cdk.models import (
@@ -94,7 +94,7 @@ def resolved_manifest(self) -> Mapping[str, Any]:
         return self._source_config
 
     @property
-    def message_repository(self) -> Union[None, MessageRepository]:
+    def message_repository(self) -> MessageRepository:
         return self._message_repository
 
     @property

airbyte_cdk/sources/declarative/stream_slicers/declarative_partition_generator.py

@@ -0,0 +1,85 @@
+# Copyright (c) 2024 Airbyte, Inc., all rights reserved.
+
+from typing import Iterable, Optional, Mapping, Any, Callable
+
+from airbyte_cdk.sources.declarative.retrievers import Retriever
+from airbyte_cdk.sources.message import MessageRepository
+from airbyte_cdk.sources.streams.concurrent.partitions.partition import Partition
+from airbyte_cdk.sources.streams.concurrent.partitions.partition_generator import PartitionGenerator
+from airbyte_cdk.sources.streams.concurrent.partitions.record import Record
+from airbyte_cdk.sources.streams.concurrent.partitions.stream_slicer import StreamSlicer
+from airbyte_cdk.sources.types import StreamSlice
+from airbyte_cdk.utils.slice_hasher import SliceHasher
+
+
+class DeclarativePartitionFactory:
+    def __init__(
+        self,
+        stream_name: str,
+        json_schema: Mapping[str, Any],
+        retriever_factory: Callable[[], Retriever],
+        message_repository: MessageRepository,
+    ) -> None:
+        """
+        The DeclarativePartitionFactory takes a retriever_factory and not a retriever directly. The reason is that our components are not
+        thread safe and classes like `DefaultPaginator` may not work because multiple threads can access and modify a shared field across each other.
+        In order to avoid these problems, we will create one retriever per thread which should make the processing thread-safe.
+        """
+        self._stream_name = stream_name
+        self._json_schema = json_schema
+        self._retriever_factory = retriever_factory
+        self._message_repository = message_repository
+
+    def create(self, stream_slice: StreamSlice) -> Partition:
+        return DeclarativePartition(
+            self._stream_name,
+            self._json_schema,
+            self._retriever_factory(),
+            self._message_repository,
+            stream_slice,
+        )
+
+
+class DeclarativePartition(Partition):
+    def __init__(
+        self,
+        stream_name: str,
+        json_schema: Mapping[str, Any],
+        retriever: Retriever,
+        message_repository: MessageRepository,
+        stream_slice: StreamSlice,
+    ):
+        self._stream_name = stream_name
+        self._json_schema = json_schema
+        self._retriever = retriever
+        self._message_repository = message_repository
+        self._stream_slice = stream_slice
+        self._hash = SliceHasher.hash(self._stream_name, self._stream_slice)
+
+    def read(self) -> Iterable[Record]:
+        for stream_data in self._retriever.read_records(self._json_schema, self._stream_slice):
+            if isinstance(stream_data, Mapping):
+                yield Record(stream_data, self)
+            else:
+                self._message_repository.emit_message(stream_data)
+
+    def to_slice(self) -> Optional[Mapping[str, Any]]:
+        return self._stream_slice
+
+    def stream_name(self) -> str:
+        return self._stream_name
+
+    def __hash__(self) -> int:
+        return self._hash
+
+
+class StreamSlicerPartitionGenerator(PartitionGenerator):
+    def __init__(
+        self, partition_factory: DeclarativePartitionFactory, stream_slicer: StreamSlicer
+    ) -> None:
+        self._partition_factory = partition_factory
+        self._stream_slicer = stream_slicer
+
+    def generate(self) -> Iterable[Partition]:
+        for stream_slice in self._stream_slicer.stream_slices():
+            yield self._partition_factory.create(stream_slice)

airbyte_cdk/sources/declarative/stream_slicers/stream_slicer.py

@@ -2,18 +2,17 @@
 # Copyright (c) 2023 Airbyte, Inc., all rights reserved.
 #
 
-from abc import abstractmethod
-from dataclasses import dataclass
-from typing import Iterable
+from abc import ABC
 
 from airbyte_cdk.sources.declarative.requesters.request_options.request_options_provider import (
     RequestOptionsProvider,
 )
-from airbyte_cdk.sources.types import StreamSlice
+from airbyte_cdk.sources.streams.concurrent.partitions.stream_slicer import (
+    StreamSlicer as ConcurrentStreamSlicer,
+)
 
 
-@dataclass
-class StreamSlicer(RequestOptionsProvider):
+class StreamSlicer(ConcurrentStreamSlicer, RequestOptionsProvider, ABC):
     """
     Slices the stream into a subset of records.
     Slices enable state checkpointing and data retrieval parallelization.
@@ -23,10 +22,4 @@ class StreamSlicer(RequestOptionsProvider):
     See the stream slicing section of the docs for more information.
     """
 
-    @abstractmethod
-    def stream_slices(self) -> Iterable[StreamSlice]:
-        """
-        Defines stream slices
-
-        :return: List of stream slices
-        """
+    pass

airbyte_cdk/sources/streams/concurrent/adapters.py

@@ -38,15 +38,13 @@
 from airbyte_cdk.sources.streams.concurrent.partitions.partition import Partition
 from airbyte_cdk.sources.streams.concurrent.partitions.partition_generator import PartitionGenerator
 from airbyte_cdk.sources.streams.concurrent.partitions.record import Record
-from airbyte_cdk.sources.streams.concurrent.state_converters.datetime_stream_state_converter import (
-    DateTimeStreamStateConverter,
-)
 from airbyte_cdk.sources.streams.core import StreamData
-from airbyte_cdk.sources.types import StreamSlice
 from airbyte_cdk.sources.utils.schema_helpers import InternalConfig
 from airbyte_cdk.sources.utils.slice_logger import SliceLogger
 from deprecated.classic import deprecated
 
+from airbyte_cdk.utils.slice_hasher import SliceHasher
+
 """
 This module contains adapters to help enabling concurrency on Stream objects without needing to migrate to AbstractStream
 """
@@ -270,6 +268,7 @@ def __init__(
         self._sync_mode = sync_mode
         self._cursor_field = cursor_field
         self._state = state
+        self._hash = SliceHasher.hash(self._stream.name, self._slice)
 
     def read(self) -> Iterable[Record]:
         """
@@ -309,12 +308,7 @@ def to_slice(self) -> Optional[Mapping[str, Any]]:
         return self._slice
 
     def __hash__(self) -> int:
-        if self._slice:
-            # Convert the slice to a string so that it can be hashed
-            s = json.dumps(self._slice, sort_keys=True, cls=SliceEncoder)
-            return hash((self._stream.name, s))
-        else:
-            return hash(self._stream.name)
+        return self._hash
 
     def stream_name(self) -> str:
         return self._stream.name
@@ -363,83 +357,6 @@ def generate(self) -> Iterable[Partition]:
             )
 
 
-class CursorPartitionGenerator(PartitionGenerator):
-    """
-    This class generates partitions using the concurrent cursor and iterates through state slices to generate partitions.
-
-    It is used when synchronizing a stream in incremental or full-refresh mode where state information is maintained
-    across partitions. Each partition represents a subset of the stream's data and is determined by the cursor's state.
-    """
-
-    _START_BOUNDARY = 0
-    _END_BOUNDARY = 1
-
-    def __init__(
-        self,
-        stream: Stream,
-        message_repository: MessageRepository,
-        cursor: Cursor,
-        connector_state_converter: DateTimeStreamStateConverter,
-        cursor_field: Optional[List[str]],
-        slice_boundary_fields: Optional[Tuple[str, str]],
-    ):
-        """
-        Initialize the CursorPartitionGenerator with a stream, sync mode, and cursor.
-
-        :param stream: The stream to delegate to for partition generation.
-        :param message_repository: The message repository to use to emit non-record messages.
-        :param sync_mode: The synchronization mode.
-        :param cursor: A Cursor object that maintains the state and the cursor field.
-        """
-        self._stream = stream
-        self.message_repository = message_repository
-        self._sync_mode = SyncMode.full_refresh
-        self._cursor = cursor
-        self._cursor_field = cursor_field
-        self._state = self._cursor.state
-        self._slice_boundary_fields = slice_boundary_fields
-        self._connector_state_converter = connector_state_converter
-
-    def generate(self) -> Iterable[Partition]:
-        """
-        Generate partitions based on the slices in the cursor's state.
-
-        This method iterates through the list of slices found in the cursor's state, and for each slice, it generates
-        a `StreamPartition` object.
-
-        :return: An iterable of StreamPartition objects.
-        """
-
-        start_boundary = (
-            self._slice_boundary_fields[self._START_BOUNDARY]
-            if self._slice_boundary_fields
-            else "start"
-        )
-        end_boundary = (
-            self._slice_boundary_fields[self._END_BOUNDARY]
-            if self._slice_boundary_fields
-            else "end"
-        )
-
-        for slice_start, slice_end in self._cursor.generate_slices():
-            stream_slice = StreamSlice(
-                partition={},
-                cursor_slice={
-                    start_boundary: self._connector_state_converter.output_format(slice_start),
-                    end_boundary: self._connector_state_converter.output_format(slice_end),
-                },
-            )
-
-            yield StreamPartition(
-                self._stream,
-                copy.deepcopy(stream_slice),
-                self.message_repository,
-                self._sync_mode,
-                self._cursor_field,
-                self._state,
-            )
-
-
 @deprecated(
     "Availability strategy has been soft deprecated. Do not use. Class is subject to removal",
     category=ExperimentalClassWarning,