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# replication-ask-ai

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10/24/2023, 1:26 PM

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kapa.ai

10/24/2023, 1:27 PM

To access the records of an

HttpStream

in an

HttpSubStream

, you can use the caching mechanism provided by Airbyte. This is especially useful when dealing with streams that depend on the results of another stream. Here's how you can do it: 1. Enable caching in the parent stream (

HttpStream

) by overriding the

use_cache

property to return

True

. This will write the data of the parent stream to a file which can be used when the child stream synchronizes, rather than performing a full HTTP request again.

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python class YourParentStream(HttpStream):       # other methods...        @property       def use_cache(self) -> bool:           return True

2. Inherit the child stream class from

HttpSubStream

class. The

HttpSubStream

class inherits from

HttpStream

and overrides the

stream_slices

method that returns a generator of all parent entries.

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python class YourChildStream(HttpSubStream):       # other methods...

When the same request is made again, instead of making another HTTP request, the result will be read from disk. If the required request is not in the cache file, a new request will be made, and its result will be added to the cache file. For more details, you can refer to the [HTTP-API-based Connectors](https://docs.airbyte.com/connector-development/cdk-python/http-streams) section in the Airbyte documentation.

kapa.ai

10/24/2023, 1:33 PM

@Karsten Bruns That's a great question, but unfortunately it is too long. Can you ask me again but make it shorter? I'm here to help!

kapa.ai

10/24/2023, 1:35 PM

Based on the provided code, it seems like you have a

Result

stream which is a substream of a

Task_id

stream. The

stream_slices

method in your

Result

stream is currently reading records from the

Task_id

stream in full refresh mode and yielding each task id as a stream slice. The

path

method is returning the endpoint for the

Result

stream, and the

request_body_json

method is returning the request body for the API call, which includes the authentication and the task id from the stream slice. If you're asking whether you need to make the complete first API call again, it depends on your specific use case and the API you're working with. If the data from the

Task_id

stream changes frequently or if you need to ensure you have the most up-to-date data, you might need to read the records from the

Task_id

stream again. However, if the data doesn't change frequently, you might not need to. Remember that the

HttpSubStream

class in Airbyte is designed to handle nested API endpoints where data from the parent stream is required to access data from the substream. The parent stream data is typically fetched in the

stream_slices

method of the substream, as you're currently doing. For more information on how to work with the

HttpSubStream

class and other aspects of developing a source connector with the Airbyte CDK, you can refer to the [Airbyte documentation](https://docs.airbyte.com/connector-development/cdk-python/basic-concepts) and [tutorials](https://docs.airbyte.com/connector-development/tutorials/cdk-speedrun).

Karsten Bruns

10/24/2023, 1:36 PM

@kapa.ai what do I need to add to my AbstractSource in order to make the httpSubStream call?

kapa.ai

10/24/2023, 1:36 PM

A message from kapa.ai

kapa.ai

10/24/2023, 1:37 PM

To make the

HttpSubStream

call from your

AbstractSource

, you need to include the

HttpSubStream

in the

streams

method of your

AbstractSource

. The

streams

method should return a list of instances of your streams. Here's a basic example:

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python class MySource(AbstractSource):     def check_connection(self, logger, config) -> Tuple[bool, any]:         # Implement your connection checking logic here         pass      def streams(self, config: Mapping[str, Any]) -> List[Stream]:         # Instantiate your HttpSubStream here and include it in the list of streams         task_id_stream = Task_id()         return [task_id_stream, Result(task_id_stream)]

In this example,

Task_id

is the parent stream and

Result

is the

HttpSubStream

. When you instantiate

Result

, you pass

task_id_stream

as an argument because

Result

needs data from

Task_id

to make its API calls. Remember to replace

Task_id

Result

, and

MySource

with the actual names of your streams and source. For more information on how to implement the

AbstractSource

and its

streams

method, you can refer to the [Airbyte documentation](https://docs.airbyte.com/connector-development/cdk-python/basic-concepts).

Karsten Bruns

10/24/2023, 1:46 PM

@kapa.ai This is my current subStream, what do I need to implement next?

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class Result(HttpSubStream):

    def __init__(self, task_id: HttpStream):
        super().__init__(parent_stream = task_id)

    def stream_slices(self, **kwargs) -> Iterable[Optional[Mapping[str, Any]]]:
        task_ids = Task_id().read_records(SyncMode.full_refresh)
        for task_id in task_ids:
            yield {"task_id": task_ids[task_id]}

    def path(self, stream_slice: Mapping[str, Any], **kwargs) -> Optional[Mapping[str, Any]]:
        return "/result"
    
    def request_body_json(self, stream_state: Mapping[str, Any] | None, stream_slice: Mapping[str, Any] | None = None, next_page_token: Mapping[str, Any] | None = None) -> Mapping[str, Any] | None:
        return {"auth": super().self.auth, "task_id": stream_slice}
        # return super().request_body_json(stream_state, stream_slice, next_page_token)
    




# Source
class SourcePwExportSegment(AbstractSource):
    def check_connection(self, logger, config) -> Tuple[bool, any]:
        return True, None

    def streams(self, config: Mapping[str, Any]) -> List[Stream]:
        #auth = TokenAuthenticator(token=config["auth"]) 
        task_id_stream = Task_id(config = config)
        #return [Task_id(auth = config["auth"], filterExpression = config["filterExpression"])]
        return [task_id_stream, Result(task_id_stream)]

kapa.ai

10/24/2023, 1:46 PM

A message from kapa.ai

kapa.ai

10/24/2023, 1:47 PM

Your current implementation of the

Result

substream and

SourcePwExportSegment

source seems to be on the right track. Here are the next steps you might need to consider: 1. Implement the
parse_response
method in your
Result
substream: This method should instruct the stream how to parse the API response. This returns an

Iterable

, whose elements are each later transformed into an

AirbyteRecordMessage

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python def parse_response(self, response: requests.Response, **kwargs) -> Iterable[Mapping]:     # Your implementation here

2. Define the schema of the records it outputs using JsonSchema: The simplest way to do this is by placing a

.json

file per stream in the

schemas

directory in the generated python module. The name of the

.json

file must match the lower snake case name of the corresponding Stream. You can also dynamically set your schema. See the [schema docs](https://docs.airbyte.com/connector-development/cdk-python/full-refresh-stream#defining-the-streams-schema) for more information. 3. Implement the
check_connection
method in your
SourcePwExportSegment
source: This method should contain the logic to check the connection to your data source.

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python def check_connection(self, logger, config) -> Tuple[bool, any]:     # Your implementation here

4. Test your source and streams: After implementing the methods, you should test your source and streams to ensure they are working as expected. For more information on how to implement these methods and others, you can refer to the [Airbyte documentation](https://docs.airbyte.com/connector-development/cdk-python/basic-concepts).

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