@kapa.ai Now I get five Results but airbyte tries to make an api call for a sixth time which then of course runs into an error

Based on the information provided in the extracts, Airbyte's Connector Development Kit (CDK) has built-in mechanisms to handle API rate limits and errors. By default, it will conduct exponential backoff on HTTP code 429 and any 5XX exceptions, and fail after 5 tries. This is governed by the

should_retry

and the

backoff_time

methods. If you want to customize this behavior, you can override these methods. Here is an [example](https://github.com/airbytehq/airbyte/blob/master/airbyte-integrations/connectors/source-slack/source_slack/source.py#L72) from the Slack API. However, it's important to note that Airbyte will always attempt to make as many requests as possible and only slow down if there are errors. It is not currently possible to specify a rate limit Airbyte should adhere to when making requests. If you're encountering issues with a specific connector, it would be helpful to check the specific documentation for that connector, as some have specific rate limits or performance considerations. For example, [Weatherstack](https://docs.airbyte.com/integrations/sources/weatherstack) allows 250 calls per month, [Mailchimp](https://docs.airbyte.com/integrations/sources/mailchimp) enforces a maximum of 10 simultaneous connections, and [Google Sheets](https://docs.airbyte.com/integrations/destinations/google-sheets) has a rate limit of 100 requests per 100 seconds per user and 500 requests per 100 seconds per project. If you continue to experience issues, you can [create an issue](https://github.com/airbytehq/airbyte/issues) on the Airbyte GitHub page.

Based on the information provided in the extracts, you can use the results from the first API call as parameters in the subsequent API calls. This can be done by using the response from the first API call to dynamically generate the request body for the subsequent calls. In the context of Airbyte, you can use the

sourceId

and

destinationId

values from the first API call in the request body of the subsequent calls. Here's an example of how you might do this:

python var client = new RestClient("<https://api.airbyte.com/v1/connections>"); var request = new RestRequest(); request.AddHeader("accept", "application/json"); request.AddHeader("content-type", "application/json"); request.AddHeader("Authorization", "Bearer {YourApiKey}"); request.AddParameter("application/json", "{\"sourceId\":\"YourSourceID\",\"destinationId\":\"YourDestinationID\",\"name\":\"AzPostgres-AzBlob2\",\"schedule\":{\"scheduleType\":\"manual\"},\"dataResidency\":\"auto\",\"namespaceDefinition\":\"destination\",\"namespaceFormat\":null,\"nonBreakingSchemaUpdatesBehavior\":\"ignore\",\"configurations\":{\"streams\":[{\"syncMode\":\"full_refresh_overwrite\",\"name\":\"YourTableName\"}]}}", ParameterType.RequestBody); var response = client.ExecutePost(request);

In this example,

YourSourceID

and

YourDestinationID

would be replaced with the IDs you received from the first API call. However, please note that the specifics of how you would do this can vary depending on the API you're working with and the programming language you're using. For more detailed information, you may want to refer to the [Airbyte documentation](https://docs.airbyte.com/connector-development/connector-builder-ui/connector-builder-compatibility) or the API documentation of the specific service you're working with.

Yes, you can achieve this by using the

HttpStream

class in your

source.py

file. You can create a new class for the second API call that inherits from

HttpStream

and uses the IDs from the first API call in the request body. Here's a simplified example based on the information provided in the extracts:

python class Items(HttpStream):     url_base = "FOO_URL"     primary_key = "id"      def __init__(self, ids: list, **kwargs):         super().__init__(**kwargs)         self.ids = ids      def path(self, **kwargs) -> str:         return f"items/{self.ids.pop(0)}" if self.ids else None      def parse_response(self,                         response: requests.Response,                         stream_state: Mapping[str, Any],                          stream_slice: Mapping[str, Any] = None,                          next_page_token: Mapping[str, Any] = None,) -> Iterable[Mapping]:         if response.status_code == 200:             return [response.json()]         elif response.status_code == 404:             return []

In this example, the

Items

class takes a list of IDs as an argument. The

path

method uses these IDs to generate the path for the API call. If there are no more IDs left in the list, it returns

None

, which should prevent further API calls. Please note that this is a simplified example and you might need to adjust it according to your specific use case and the API you're working with. For more detailed information, you can refer to the [Airbyte documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams).