Summary
Exploring how to iterate and make multiple API requests within the same stream
Question
Hi all. How can I iterate to make multiple API requests in the same stream?
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["iterate", "multiple-api-requests", "same-stream"]
To make multiple API requests in the same stream, you can use the Airbyte’s CDK (Connector Development Kit) which provides the HTTPStream
class. This class allows you to define the base URL and the path for your API requests, as well as how to parse the resulting response. Here’s a brief overview of how you can set it up: 1. Define the base URL via the url_base
property. 2. Implement the abstract path
function to set the path for your API request. 3. Implement the parse_response
function to instruct the stream how to parse the API response. This function should return an Iterable
, whose elements are each later transformed into an AirbyteRecordMessage
. For example, if you need to call the API four times, you can set up four different paths or modify the parameters of your API request in the path
function. If you need to make requests based on the response of a previous request, you might want to look into nested streams and caching as suggested in a forum post. For more detailed information, you can refer to the HTTP Streams section in the Airbyte’s CDK documentation. Please note that the actual implementation might vary depending on the specifics of the API you are working with.
<@U04SE163WC8> How do I set the stream_slice to be a list from my config file?
To set the stream_slice
to be a list from your config file, you need to modify your stream_slices
method in your connector’s code. Here’s a general idea of how you can do it: 1. First, ensure that your spec.json
is set to accept an array of cities instead of a string. This was mentioned in a forum post. 2. Then, in your stream_slices
method, you can create a slice for each city and day you want to consume. This was also suggested in the same forum post. Here’s an example of how you can define your stream_slices
method: python def stream_slices( self, *, sync_mode: SyncMode, cursor_field: List[str] = None, stream_state: Mapping[str, Any] = None ) -> Iterable[Optional[Mapping[str, Any]]]:
In this method, sync_mode
, cursor_field
, and stream_state
are parameters that you might need to use depending on your use case. Please note that you need to import the necessary libraries for this method to work: python from typing import Any, Iterable, List, Mapping, Optional from airbyte_cdk.models import SyncMode
For more information on how to use stream_slices
, you can refer to the Airbyte documentation. Please remember to test your code thoroughly after making these changes to ensure everything works as expected. If you encounter any errors, feel free to ask for further assistance.