@kapa.ai we are running a query against an api. In our query we are setting a max row size to 100 and I want to run the query multiple times until the total is extracted and loaded into snowflake. i am using the python-cdk to build a custom source. how is this possible?

To implement pagination for your API query using the Airbyte Python CDK, you can use the pagination functionality provided by the HTTP streams. This will allow you to run your query multiple times, incrementing the offset until all data is extracted and loaded into Snowflake. Here's how you can approach this: 1. Use the

HttpStream

class from the Python CDK as the base for your stream. 2. Implement the

next_page_token

method to handle pagination. This method should return the token for the next page, or None if there are no more pages. 3. Modify your

request_params

method to include the pagination parameters. Here's a basic example of how you might structure this:

python from airbyte_cdk.sources.streams.http import HttpStream  class YourApiStream(HttpStream):     url_base = "your_api_base_url"     primary_key = "id"     page_size = 100      def next_page_token(self, response: requests.Response) -> Optional[Mapping[str, Any]]:         json_response = response.json()         if len(json_response) == self.page_size:             return {"start": self.page_size}         return None      def request_params(         self, stream_state: Mapping[str, Any], stream_slice: Mapping[str, any] = None, next_page_token: Mapping[str, Any] = None     ) -> MutableMapping[str, Any]:         params = {"max": self.page_size}         if next_page_token:             params.update(next_page_token)         return params      def parse_response(self, response: requests.Response, **kwargs) -> Iterable[Mapping]:         return response.json()

This example assumes your API uses a

start

parameter for pagination and a

max

parameter to set the page size. You'll need to adjust these according to your specific API's requirements. For more detailed information on implementing pagination and other HTTP stream features, you can refer to the [HTTP-API-based Connectors documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams). Remember, this is a basic example and you may need to adjust it based on your specific API's pagination mechanism and response structure.

@kapa.ai we are yielding our data how to then set the next_page_toke method: def read_records( self, _sync_mode_: SyncMode, _cursor_field_: Optional[List[str]] = None, _stream_slice_: Optional[Mapping[str, Any]] = None, _stream_state_: Optional[Mapping[str, Any]] = None, ) -> Iterable[Mapping[str, Any]]: if _stream_state_ and _sync_mode_ == SyncMode.incremental: self._cursor_value = _stream_state_[self.cursor_field] if not _stream_state_ and _sync_mode_ == SyncMode.incremental: self._cursor_value = 0 for record in super().read_records( _sync_mode_, _cursor_field_, _stream_slice_, _stream_state_ ): if _sync_mode_ == SyncMode.incremental: if str(record[self.cursor_field]) > str(self._cursor_value): self._cursor_value = str(record[self.cursor_field]) yield record

A message from kapa.ai

The

next_page_token

method is used to determine the token for the next page of data from the API. This method is called after each API request to check if there are more pages of data to retrieve. In your case, you might want to implement the

next_page_token

method based on the response you get from the API. For example, if your API uses a

page_number

parameter for pagination, you might increment this for each new page. If it uses a

next_page_url

or similar, you might extract this from the response. Here's a basic example of how you might implement this:

python def next_page_token(self, response: requests.Response) -> Optional[Mapping[str, Any]]:     json_response = response.json()     next_page_url = json_response.get('next_page_url')     if next_page_url:         return {"next_page_url": next_page_url}     return None

In this example, the

next_page_token

method checks the JSON response for a

next_page_url

field. If it exists, it returns this as the token for the next page. If it doesn't exist, it returns

None

, indicating that there are no more pages. You would then use this token in your

request_params

or

path

method to request the next page of data from the API. Remember, this is a basic example and you may need to adjust it based on your specific API's pagination mechanism and response structure. For more detailed information on implementing pagination and other HTTP stream features, you can refer to the [HTTP-API-based Connectors documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams).

@kapa.ai can I get the record count from the response in the next_page_token method?

A message from kapa.ai

Yes, you can extract the record count from the response in the

next_page_token

method. The method has access to the full response object, so you can parse it as needed to extract any information. Here's a basic example:

python def next_page_token(self, response: requests.Response) -> Optional[Mapping[str, Any]]:     json_response = response.json()     record_count = len(json_response.get('records', []))     print(f"Record count: {record_count}")     # ... rest of your next_page_token logic

In this example, we're assuming that the response is a JSON object that contains a 'records' field, which is a list of records. We use the

len

function to count the number of records, and then print this count. You would replace the print statement with your own logic to use the record count. Remember, this is a basic example and you may need to adjust it based on your specific API's response structure. For more detailed information on implementing pagination and other HTTP stream features, you can refer to the [HTTP-API-based Connectors documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams).

@kapa.ai I am getting this back: {"message": "Something went wrong in the connector. See the logs for more details.", "internal_message": "Expecting value: line 1 column 1 (char 0)", "stack_trace": "Traceback (most recent call last):\n File \"/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/.venv/lib/python3.11/site-packages/requests/models.py\", line 971, in json\n return complexjson.loads(self.text, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/A1DF6EF/.pyenv/versions/3.11.8/lib/python3.11/json/__init__.py\", line 346, in loads\n return _default_decoder.decode(s)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/A1DF6EF/.pyenv/versions/3.11.8/lib/python3.11/json/decoder.py\", line 337, in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/A1DF6EF/.pyenv/versions/3.11.8/lib/python3.11/json/decoder.py\", line 355, in raw_decode\n raise JSONDecodeError(\"Expecting value\", s, err.value) from None\njson.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/.venv/lib/python3.11/site-packages/airbyte_cdk/sources/abstract_source.py\", line 135, in read\n yield from self._read_stream(\n File \"/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/.venv/lib/python3.11/site-packages/airbyte_cdk/sources/abstract_source.py\", line 230, in _read_stream\n for record_data_or_message in record_iterator:\n File \"/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/.venv/lib/python3.11/site-packages/airbyte_cdk/sources/streams/core.py\", line 169, in read\n for record_data_or_message in records:\n File \"/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/source_ffc2/source.py\", line 159, in read_records\n for record in super().read_records(\n File \"/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/.venv/lib/python3.11/site-packages/airbyte_cdk/sources/streams/http/http.py\", line 482, in read_records\n yield from self._read_pages(\n File \"/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/.venv/lib/python3.11/site-packages/airbyte_cdk/sources/streams/http/http.py\", line 501, in _read_pages\n next_page_token = self.next_page_token(response)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/source_ffc2/source.py\", line 40, in next_page_token\n json_response = response.json()\n ^^^^^^^^^^^^^^^\n File \"/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/.venv/lib/python3.11/site-packages/requests/models.py\", line 975, in json\n raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)\nrequests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n", "failure_type": "system_error", "stream_descriptor": {"name": "knapp"}}}}

A message from kapa.ai

The error message you're seeing,

Expecting value: line 1 column 1 (char 0)

, is a

JSONDecodeError

. This error typically occurs when you're trying to parse an empty document or response. In the context of an API request, this usually means that the API response is empty or not in the expected format. In your case, it seems like the

next_page_token

method in your source code is trying to parse the response as JSON, but it's failing because the response is not valid JSON. Here's the relevant part of the stack trace:

python File "/Users/A1DF6EF/Desktop/datenkrake/airbyte-ffc2-source/source_ffc2/source.py", line 40, in next_page_token     json_response = response.json()

This line is trying to parse the

response

as JSON, but it's raising a

JSONDecodeError

. To resolve this issue, you might want to add error handling to check if the response is valid JSON before trying to parse it. You could also add logging to print out the response, which might help you understand why it's not valid JSON. If the API is supposed to return JSON, you might want to check if the request is correct (e.g., the endpoint, headers, and parameters) and if the API is functioning as expected. For more detailed information on handling HTTP responses in Airbyte, you can refer to the [HTTP-API-based Connectors documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams).

@kapa.ai what if do not have server side pagination. But i want to continue with the stream? what should I return?

A message from kapa.ai

If your API does not support server-side pagination, you can simply return

None

in the

next_page_token

method. This indicates to the Airbyte CDK that there are no more pages to fetch. Here's how you can do it:

python def next_page_token(self, response: requests.Response) -> Optional[Mapping[str, Any]]:     return None

This will make the stream read all the data in one go without trying to fetch the next page. For more detailed information on implementing pagination and other HTTP stream features, you can refer to the [HTTP-API-based Connectors documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams).

@kapa.ai but there are more pages to fetch. But I want to continue if the messages I receive are 20.000

A message from kapa.ai

If you want to continue fetching more pages based on the number of records (e.g., 20,000 records), you can implement this logic in the

next_page_token

method. You can keep a count of the total records fetched and return

None

when this count reaches your limit. Here's a basic example:

python class YourApiStream(HttpStream):     # ...     total_records = 0      def next_page_token(self, response: requests.Response) -> Optional[Mapping[str, Any]]:         json_response = response.json()         records = json_response.get('records', [])         self.total_records += len(records)          if self.total_records >= 20000:             return None         else:             # return the next page token based on your API's pagination mechanism

In this example, we're keeping a count of the total records fetched in the

total_records

attribute. For each response, we add the number of records in the response to this count. When the count reaches 20,000, we return

None

to indicate that there are no more pages to fetch. Remember, this is a basic example and you may need to adjust it based on your specific API's pagination mechanism and response structure. For more detailed information on implementing pagination and other HTTP stream features, you can refer to the [HTTP-API-based Connectors documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams).

@kapa.ai but I dont the next page token

A message from kapa.ai

If your API does not provide a next page token or any form of pagination mechanism, but you still want to fetch more data based on a certain condition (like a certain number of records), you can implement this logic in your

read_records

method. Here's a basic example:

python class YourApiStream(HttpStream):     # ...     total_records = 0      def read_records(self, *args, **kwargs):         while self.total_records < 20000:             response = super().read_records(*args, **kwargs)             records = list(response)             self.total_records += len(records)             yield from records

In this example, we're overriding the

read_records

method to fetch records while the total number of records is less than 20,000. We keep a count of the total records fetched in the

total_records

attribute. For each response, we add the number of records in the response to this count. Remember, this is a basic example and you may need to adjust it based on your specific API's response structure. For more detailed information on implementing custom read methods and other HTTP stream features, you can refer to the [HTTP-API-based Connectors documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams).

@kapa.ai ain't there a possibility to send another request?

A message from kapa.ai

Yes, you can send another request in your connector. However, how you implement this depends on the specifics of your API and what you're trying to achieve. If you want to send another request after fetching a certain number of records, you could do this in your

read_records

method. Here's a basic example:

python class YourApiStream(HttpStream):     # ...     total_records = 0      def read_records(self, *args, **kwargs):         while self.total_records < 20000:             response = super().read_records(*args, **kwargs)             records = list(response)             self.total_records += len(records)             yield from records              if self.total_records >= 20000:                 # Send another request here                 # You might need to update some parameters for the new request                 self.total_records = 0  # Reset the count for the new request

In this example, we're overriding the

read_records

method to fetch records while the total number of records is less than 20,000. We keep a count of the total records fetched in the

total_records

attribute. For each response, we add the number of records in the response to this count. When the count reaches 20,000, we send another request. Remember, this is a basic example and you may need to adjust it based on your specific API's response structure and the requirements of your new request. For more detailed information on implementing custom read methods and other HTTP stream features, you can refer to the [HTTP-API-based Connectors documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams).

@kapa.ai what is request_params doing?

A message from kapa.ai

The

request_params

method in Airbyte's CDK is used to define the query parameters that should be included in the API request. This method returns a dictionary (or

Mapping

) where the keys are the parameter names and the values are the parameter values. Here's an example from the knowledge sources:

python def request_params(     self,      stream_state: Mapping[str, Any],      stream_slice: Mapping[str, any] = None,      next_page_token: Mapping[str, Any] = None ) -> MutableMapping[str, Any]:       if next_page_token:           return urlparse(next_page_token["next_url"]).query       else:           return {             "include": "response_count,date_created,date_modified,language,question_count,analyze_url,preview,collect_stats",               "per_page": _PAGE_SIZE         }

In this example, if a

next_page_token

is provided, the method returns the query parameters from the

next_url

in the

next_page_token

. If no

next_page_token

is provided, it returns a dictionary with the

include

and

per_page

parameters. The

request_params

method can be used to implement pagination, filtering, or any other functionality that requires modifying the query parameters of the API request. For more information on how to use the

request_params

method and other methods in Airbyte's CDK, you can refer to the [HTTP-API-based Connectors documentation](https://docs.airbyte.com/connector-development/cdk-python/http-streams).