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<@U04SE163WC8> How to build connectors image with...
# replication-ask-ai
a
@kapa.ai How to build connectors image with specific version
k
To build a connector image with a specific version in Airbyte, you can follow these steps: 1. Run the Airbyte Platform Locally: In your local 
airbyte
repository, run the following command to start the Airbyte platform:
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bash    ./run-ab-platform
2. Build the Connector Image: - Install the 
airbyte-ci
tool to build your connector. You can find the installation instructions in the [airbyte-ci README](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md). - Use the 
airbyte-ci
tool to build your connector image. Replace 
<source-name>
with the name of your source connector:
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bash      airbyte-ci connectors --name source-<source-name> build
- Once the command is done, you will find your connector image in your local Docker host with the tag `dev`:
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bash      airbyte/source-<source-name>:dev
- You can change the tag to a specific version if needed by modifying the tag in the Docker image. 3. Update the Connector Version in Airbyte: - Open your browser and visit [http://localhost:8000/](http://localhost:8000/). - Log in with the default user 
airbyte
and default password 
password
. - Go to 
Settings
(gear icon in the lower left corner). - Navigate to 
Sources
or 
Destinations
(depending on which connector you are testing). - Update the version number to use your Docker image tag (default is 
dev
). - Click 
Change
to save the changes. Now, when you run a sync with that connector, it will use your local Docker image. For more detailed instructions, you can refer to the [Airbyte documentation on developing locally](https://docs.airbyte.com/contributing-to-airbyte/resources/developing-locally#add-a-connector-under-development-to-airbyte). If you encounter issues during the build process, such as the one described in the [GitHub discussion](https://github.com/airbytehq/airbyte/discussions/31175), ensure that you have the correct Python version and necessary environment variables set. If you need to use different versions of a source connector for different connections, you can set the image tag for each connection individually as described in the [forum post](https://discuss.airbyte.io/t/2162). If you need further assistance, please refer to the [Airbyte documentation](https://docs.airbyte.com/) or reach out to the community for support.
a
@kapa.ai is this will work airbyte-ci connectors --name source-awtomic build -t source-awtomic:v1
k
A message from kapa.ai
Based on the provided knowledge sources, the command you mentioned is almost correct but needs a slight adjustment. The 
airbyte-ci
tool does not directly support tagging the image with a specific version using the 
-t
flag in the command itself. Instead, you should build the image first and then tag it using Docker. Here is the correct approach: 1. Build the Connector Image:
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bash    airbyte-ci connectors --name source-awtomic build
2. Tag the Docker Image: After the image is built, you can tag it with the desired version using Docker:
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bash    docker tag airbyte/source-awtomic:dev airbyte/source-awtomic:v1
3. Verify the Image: Ensure that the image is correctly tagged by listing your Docker images:
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bash    docker images
This process will build the connector image and then tag it with the version 
v1
. For more detailed instructions, you can refer to the [Airbyte documentation on developing locally](https://docs.airbyte.com/contributing-to-airbyte/resources/developing-locally#add-a-connector-under-development-to-airbyte). If you encounter any issues, please refer to the [Airbyte documentation](https://docs.airbyte.com/) or reach out to the community for support.
a
@kapa.ai class LastEvaluatedKeyPaginationStrategy(PageIncrement): def next_page_token(self, response) -> Optional[Tuple[Optional[int], Optional[int]]]: last_evaluated_key = response.json().get('LastEvaluatedKey') if last_evaluated_key: return json.dumps(last_evaluated_key) else: return None can you fix this
k
A message from kapa.ai
To fix the 
LastEvaluatedKeyPaginationStrategy
class, you need to ensure that the 
next_page_token
method correctly handles the response and returns the appropriate token. The current implementation has a few issues, such as the return type and handling of the 
last_evaluated_key
. Here is the corrected version of the class:
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python import json from typing import Optional, Tuple  class LastEvaluatedKeyPaginationStrategy(PageIncrement):      def next_page_token(self, response) -> Optional[str]:         last_evaluated_key = response.json().get('LastEvaluatedKey')         if last_evaluated_key:             return json.dumps(last_evaluated_key)         else:             return None
### Explanation: 1. Import Statements: Ensure you have the necessary imports for 
json
and 
Optional
. 2. Return Type: The return type of 
next_page_token
should be 
Optional[str]
instead of 
Optional[Tuple[Optional[int], Optional[int]]]
because the token is a JSON string. 3. Handling 
LastEvaluatedKey
: The method checks if 
LastEvaluatedKey
exists in the response. If it does, it returns the JSON string of the key; otherwise, it returns 
None
. This should correctly handle the pagination using the 
LastEvaluatedKey
from the response. For more information on pagination strategies, you can refer to the [Airbyte documentation on pagination](https://docs.airbyte.com/connector-development/config-based/understanding-the-yaml-file/pagination#cursor).
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