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PoC with pokeapi and substream #41638

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Original file line number Diff line number Diff line change
@@ -0,0 +1,152 @@
import json
import logging
from typing import Iterable, Optional, Mapping, Any, List, Union

from airbyte_cdk import MessageRepository, TState, StreamSlice, FinalStateCursor, ConcurrentSource, YamlDeclarativeSource
from airbyte_cdk.connector import TConfig
from airbyte_cdk.models import AirbyteCatalog, AirbyteConnectionStatus, AirbyteMessage, Type
from airbyte_cdk.sources.declarative.retrievers import Retriever
from airbyte_cdk.sources.declarative.stream_slicers import StreamSlicer
from airbyte_cdk.sources.source import TCatalog
from airbyte_cdk.sources.streams.concurrent.abstract_stream import AbstractStream
from airbyte_cdk.sources.streams.concurrent.availability_strategy import AbstractAvailabilityStrategy, StreamAvailability, StreamAvailable
from airbyte_cdk.sources.streams.concurrent.default_stream import DefaultStream
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.utils.slice_logger import DebugSliceLogger


class AlwaysAvailableAvailabilityStrategy(AbstractAvailabilityStrategy):
"""
Copy paste of something in the unit tests because we probably don't care about the availability strategy as it is getting removed from
the non concurrent part of the code (see https://github.com/airbytehq/airbyte/pull/40682)
"""
def check_availability(self, logger: logging.Logger) -> StreamAvailability:
return StreamAvailable()


class DeclarativeConcurrentSource(YamlDeclarativeSource): # our entrypoint requires a Source

def _streams(self, config) -> List[AbstractStream]:
streams = []
for stream in self.streams(config):
json_schema = stream.get_json_schema()
# FIXME This is a bit annoying because we it'll not work with all the stream slicers. The issue is that the stream slicing part
# is not exposed anywhere except through `stream_slices`. This means that we either:
# * have the DeclarativePartitionGenerator relying on the stream instead of the stream slicer (but we would have to keep more legacy code)
# * find a way to access/expose a stream slicer concept through the manifest
# For this PoC, we will just assume the retriever expose a stream_slicer
stream_slicer = stream.retriever.stream_slicer
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why do we need a stream slicer? imo that's a concept worth deprecating in favor of partitions

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The challenge I see us having is that we will need to keep the current model_to_component_factory until we migrate everything. Until then, we would probably rather not duplicate some code. So here, I try to rely on the stream_slicer. This concept to me will become the DeclarativePartitionGenerator in the concurrent code. However, during when we will have both the low-code in old CDK and low-code in concurrent CKD during the transition, I'm not exactly sure what is the best way to re-use the logic to build this

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the only custom StreamSlicers I see are for

  • orb
  • posthog
  • partnerstack
  • railz

🌶️ We should just release a breaking change and accept StreamSlicers aren't a real concept

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This is not the level of stream slicer that is useful for matching with a concurrent partition though. The logic to create this level is here

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okok. so just a matter of a missing interface since we assume the retriever has a stream_slicer 👍

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just a matter of a missing interface

The mindset for this PoC was: create the DeclarativeStream as it exists today and fetch the components within this DeclarativeStream to create the concurrent streams. This does not work well with custom components as they are not forced to expose StreamSlicers.

So, we might even be able to avoid exposing a new interface if we modify the mode_to_component_factory to return a DefaultStream i.e. that the mode_to_component_factory already know about this interface with _merge_stream_slicers. I was trying to avoid a bit as this part of the code is a bit complex and having to maintain both seems like a challenge but I guess we could have a flow like: By reading a stream declaration in the manifest, determine if it is concurrent compatible. If so, use a new DefaultStream, else fallback on the current DeclarativeStream.

streams.append(
DefaultStream(
DeclarativePartitionGenerator(stream_slicer, stream.retriever, self._message_repository, stream.name, json_schema),
stream.name,
json_schema,
AlwaysAvailableAvailabilityStrategy(), # should we remove this concept
self._to_clean_primary_key(stream.primary_key),
self._to_clean_cursor_field(stream.cursor_field),
self.logger,
FinalStateCursor(stream.name, stream.namespace, self._message_repository), # FIXME change this to support incremental or RFR streams
stream.namespace,
)
)
return streams

def read(self, logger: logging.Logger, config: TConfig, catalog: TCatalog, state: Optional[TState] = None) -> Iterable[AirbyteMessage]:
concurrency_level = 10
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I'd expect this to be define in the yaml file

catalog_streams = set(map(lambda stream: stream.stream.name, catalog.streams))
enable_streams = [stream for stream in self._streams(config) if stream.name in catalog_streams]
yield from ConcurrentSource.create(concurrency_level, concurrency_level // 2, logger, DebugSliceLogger(), self._message_repository).read(enable_streams)

def discover(self, logger: logging.Logger, config: TConfig) -> AirbyteCatalog:
# TODO implement
pass

def check(self, logger: logging.Logger, config: TConfig) -> AirbyteConnectionStatus:
# TODO implement
pass

@staticmethod
def _to_clean_primary_key(primary_key: Optional[Union[str, List[str], List[List[str]]]]) -> List[str]:
if not primary_key:
return []
elif isinstance(primary_key, str):
return [primary_key]
elif isinstance(primary_key, List):
first_element = primary_key[0]
if isinstance(first_element, str):
return primary_key
else:
raise ValueError("Composite primary keys are not supported")
raise ValueError(f"Invalid primary key type {type(primary_key)}")

@staticmethod
def _to_clean_cursor_field(cursor_field: Union[str, List[str]]) -> Optional[str]:
if not cursor_field:
return None
elif isinstance(cursor_field, List) and len(cursor_field) == 1:
return cursor_field[0]
raise ValueError(f"Invalid cursor field `{cursor_field}`: only str is supported")


class DeclarativePartition(Partition):
def __init__(self, retriever: Retriever, message_repository: MessageRepository, stream_name: str, stream_slice: StreamSlice, json_schema: Mapping[str, Any]):
self._retriever = retriever
self._stream_name = stream_name
self._message_repository = message_repository
self._json_schema = json_schema
self._stream_slice = stream_slice

self._is_closed = False

def to_slice(self) -> Optional[Mapping[str, Any]]:
return self._stream_slice

def stream_name(self) -> str:
return self._stream_name

def read(self) -> Iterable[Record]:
for stream_data in self._retriever.read_records(self._json_schema, self._stream_slice):
if isinstance(stream_data, AirbyteMessage):
if stream_data.type == Type.RECORD:
yield Record(stream_data.record.data, stream_data.record.stream)
else:
self._message_repository.emit_message(stream_data)
else:
yield Record(stream_data, self._stream_name)

def close(self) -> None:
# FIXME duplicate of StreamPartition
# self._cursor.close_partition(self) TODO to support incremental declarative stream
self._is_closed = True

def is_closed(self) -> bool:
# FIXME duplicate of StreamPartition
return self._is_closed

def __repr__(self) -> str:
# FIXME duplicate of StreamPartition
return f"StreamPartition({self._stream_name}, {self._stream_slice})"

def __hash__(self) -> int:
stream_slice_as_dict = dict(self._stream_slice) if self._stream_slice else None
if stream_slice_as_dict:
# Convert the slice to a string so that it can be hashed
s = json.dumps(stream_slice_as_dict, sort_keys=True)
return hash((self._stream_name, s))
else:
return hash(self._stream_name)


class DeclarativePartitionGenerator(PartitionGenerator):
def __init__(self, stream_slicer: StreamSlicer, retriever: Retriever, message_repository: MessageRepository, stream_name: str, json_schema: Mapping[str, Any]):
self._stream_slicer = stream_slicer
self._retriever = retriever
self._stream_name = stream_name
self._message_repository = message_repository
self._json_schema = json_schema

def generate(self) -> Iterable[Partition]:
for stream_slice in self._stream_slicer.stream_slices():
yield DeclarativePartition(self._retriever, self._message_repository, self._stream_name, stream_slice, self._json_schema)
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
"streams": [
{
"stream": {
"name": "pokemon",
"name": "abilities",
"json_schema": {},
"supported_sync_modes": ["full_refresh"]
},
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