@kapa.ai i get this error while adding a new python cdk source connector

Sorry @Kaustav Ghosh, it looks like your question contains files, which I cannot process. Please reformulate your question without including any files.

@kapa.ai An unknown error occurred. (HTTP 504) when adding a new connector

The "An unknown error occurred. (HTTP 504)" error message typically indicates a timeout issue. This can occur when the operation of fetching schemas or setting up a new connection takes longer than the server is configured to wait. Here are a few potential solutions based on the knowledge sources: 1. Increase Server Resources: One of the common causes of this issue is insufficient server resources. If you're running Airbyte on Docker, you might need to increase the CPU and memory limits of your Docker Desktop. This was suggested as a solution in [this Github issue](https://github.com/airbytehq/airbyte/issues/42135). 2. Increase Timeout Limit: If the operation is taking longer due to a large amount of data or slow internet connection, you might need to increase the timeout limit. This was suggested in [this Github issue](https://github.com/airbytehq/airbyte/issues/29712) and [this forum post](https://discuss.airbyte.io/t/2975). 3. Check Your Connection Settings: Ensure that your source and destination settings are correct. Incorrect settings can cause the connection to fail. If you're still encountering the issue, it would be helpful to check the logs for more detailed error messages. If you're not sure how to do this, you can refer to the [Airbyte documentation](https://docs.airbyte.io/).

@kapa.ai i am getting this error in the payload

{message: "Internal Server Error: Get Spec job failed.",…}
exceptionClassName
: 
"java.lang.IllegalStateException"
exceptionStack
: 
["java.lang.IllegalStateException: Get Spec job failed.",…]
0
: 
"java.lang.IllegalStateException: Get Spec job failed."
1
: 
"\tat com.google.common.base.Preconditions.checkState(Preconditions.java:513)"
2
: 
"\tat io.airbyte.commons.server.converters.SpecFetcher.getSpecFromJob(SpecFetcher.java:17)"
3
: 
"\tat io.airbyte.commons.server.handlers.helpers.ActorDefinitionHandlerHelper.getSpecForImage(ActorDefinitionHandlerHelper.java:162)"
4
: 
"\tat io.airbyte.commons.server.handlers.helpers.ActorDefinitionHandlerHelper.defaultDefinitionVersionFromCreate(ActorDefinitionHandlerHelper.java:79)"
5
: 
"\tat io.airbyte.commons.server.handlers.SourceDefinitionsHandler.createCustomSourceDefinition(SourceDefinitionsHandler.java:257)"
6
: 
"\tat io.airbyte.server.apis.SourceDefinitionApiController.lambda$createCustomSourceDefinition$0(SourceDefinitionApiController.java:65)"
7
: 
"\tat io.airbyte.server.apis.ApiHelper.execute(ApiHelper.java:28)"
8
: 
"\tat io.airbyte.server.apis.SourceDefinitionApiController.createCustomSourceDefinition(SourceDefinitionApiController.java:65)"
9
: 
"\tat io.airbyte.server.apis.$SourceDefinitionApiController$Definition$Exec.dispatch(Unknown Source)"
10
: 
"\tat io.micronaut.context.AbstractExecutableMethodsDefinition$DispatchedExecutableMethod.invokeUnsafe(AbstractExecutableMethodsDefinition.java:461)"
11
: 
"\tat io.micronaut.context.DefaultBeanContext$BeanContextUnsafeExecutionHandle.invokeUnsafe(DefaultBeanContext.java:4350)"
12
: 
"\tat io.micronaut.web.router.AbstractRouteMatch.execute(AbstractRouteMatch.java:272)"
13
: 
"\tat io.micronaut.web.router.DefaultUriRouteMatch.execute(DefaultUriRouteMatch.java:38)"
14
: 
"\tat io.micronaut.http.server.RouteExecutor.executeRouteAndConvertBody(RouteExecutor.java:498)"
15
: 
"\tat io.micronaut.http.server.RouteExecutor.lambda$callRoute$5(RouteExecutor.java:475)"
16
: 
"\tat io.micronaut.core.execution.ExecutionFlow.lambda$async$1(ExecutionFlow.java:87)"
17
: 
"\tat io.micronaut.core.propagation.PropagatedContext.lambda$wrap$3(PropagatedContext.java:211)"
18
: 
"\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)"
19
: 
"\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)"
20
: 
"\tat java.base/java.lang.Thread.run(Thread.java:1583)"
message
: 
"Internal Server Error: Get Spec job failed."
rootCauseExceptionStack
: 
[]

A message from kapa.ai

The error message "Internal Server Error: Get Spec job failed" typically indicates that there's an issue with fetching the specification of the connector you're trying to add or update. This could be due to various reasons such as incorrect connector configuration, issues with the connector code, or problems with the Docker image of the connector. Here are a few potential solutions based on the knowledge sources: 1. Check Your Connector Configuration: Ensure that your connector's configuration is correct. Incorrect settings can cause the fetching of the spec to fail. 2. Check Your Connector Code: If you're working on a custom connector, make sure that the connector code is correct and it's able to connect to the source. You can try running the

spec

and

check

commands on the connector to confirm that the connector is valid and it is able to connect to the source. This was suggested in [this forum post](https://discuss.airbyte.io/t/2508). 3. Check Your Docker Image: If you're using a Docker image for the connector, make sure that the image is built correctly and it's available in the specified location. You can try running

spec

on the image itself to get more information. This was suggested in [this forum post](https://discuss.airbyte.io/t/2508). 4. Check Your Dependencies: If your connector depends on any libraries, make sure that these libraries and their versions are correctly specified in the

setup.py

file. This was suggested in [this forum post](https://discuss.airbyte.io/t/2508). If you're still encountering the issue, it would be helpful to check the logs for more detailed error messages. If you're not sure how to do this, you can refer to the [Airbyte documentation](https://docs.airbyte.io/).

@kapa.ai give me example commands for all of the above

A message from kapa.ai

Based on the knowledge sources provided, here are some example commands that might be relevant to your situation: 1. Check Your Connector Configuration: This would depend on the specific connector you're using. However, generally, you would need to provide a JSON configuration file when running the connector. Here's an example command for running a connector with a configuration file:

bash docker run --rm -v $(pwd)/config.json:/config.json airbyte/source-<connector-name>:<version> check --config config.json

Replace

<connector-name>

and

<version>

with the name and version of your connector. 2. Check Your Connector Code: If you're developing a custom connector, you can use the following commands to check your connector:

bash # Run the spec command docker run --rm airbyte/source-<connector-name>:<version> spec  # Run the check command with a configuration file docker run --rm -v $(pwd)/config.json:/config.json airbyte/source-<connector-name>:<version> check --config config.json

Replace

<connector-name>

and

<version>

with the name and version of your connector. 3. Check Your Docker Image: To check your Docker image, you can run the

docker images

command to list all images:

bash docker images

To run the

spec

command on a specific image, you can use the following command:

bash docker run --rm airbyte/source-<connector-name>:<version> spec

Replace

<connector-name>

and

<version>

with the name and version of your connector. Please note that these are general examples and might need to be adjusted based on your specific situation. If you're not sure how to adjust these commands for your situation, you might find the [Airbyte documentation](https://docs.airbyte.io/) helpful.

@kapa.ai give me spec and check commands in general

A message from kapa.ai

Sure, here are the general commands for

spec

and

check

in Airbyte: 1. Spec Command: The

spec

command is used to understand the configuration requirements of a connector. Here's how you can run it:

bash docker run --rm airbyte/source-<connector-name>:<version> spec

Replace

<connector-name>

and

<version>

with the name and version of your connector. 2. Check Command: The

check

command is used to validate the provided configuration against the connector. Here's how you can run it:

bash docker run --rm -v $(pwd)/config.json:/config.json airbyte/source-<connector-name>:<version> check --config config.json

Replace

<connector-name>

and

<version>

with the name and version of your connector. Also, replace

config.json

with your configuration file. Please note that these are general examples and might need to be adjusted based on your specific situation. If you're not sure how to adjust these commands for your situation, you might find the [Airbyte documentation](https://docs.airbyte.io/) helpful.

@kapa.ai docker run --rm airbyte/source-coucbase:dev spec Unable to find image 'airbyte/source-coucbase:dev' locally docker: Error response from daemon: pull access denied for airbyte/source-coucbase, repository does not exist or may require 'docker login': denied: requested access to the resource is denied. See 'docker run --help'.

A message from kapa.ai

The error message you're seeing typically indicates that Docker is unable to find the specified image locally and is also unable to pull it from a remote repository. This could be due to a few reasons: 1. Typo in Image Name: The image name

airbyte/source-coucbase:dev

might be incorrect. Please ensure that the name of the image is spelled correctly. For instance, if you're trying to use the Couchbase source connector, the image name should be

airbyte/source-couchbase:dev

. 2. Image Does Not Exist: The image might not exist in the Docker local or remote repositories. You can check if the image exists on Docker Hub or any other Docker registry you're using. 3. Access Denied: You might not have the necessary permissions to pull the image. If the image is in a private repository, you might need to log in first using the

docker login

command. Here's how you can log in to Docker:

bash docker login

You'll be prompted to enter your Docker username and password. After logging in, you can try running the

docker run

command again. If you're still encountering the issue, you might find the [Airbyte documentation](https://docs.airbyte.io/) helpful.

@kapa.ai i fixed the typo. now i get

docker run --rm airbyte/source-couchbase:dev spec
Traceback (most recent call last):
  File "/airbyte/integration_code/main.py", line 5, in <module>
    from source_couchbase.run import run
  File "/airbyte/integration_code/source_couchbase/__init__.py", line 6, in <module>
    from .source import SourceCouchbase
  File "/airbyte/integration_code/source_couchbase/source.py", line 11, in <module>
    from couchbase.auth import PasswordAuthenticator
  File "/usr/local/lib/python3.9/site-packages/couchbase/__init__.py", line 66, in <module>
    from couchbase.pycbc_core import CXXCBC_METADATA, pycbc_logger, shutdown_logger  # nopep8 # isort:skip # noqa: E402
ImportError: Error loading shared library libstdc++.so.6: No such file or directory (needed by /usr/local/lib/python3.9/site-packages/couchbase/pycbc_core.so)

A message from kapa.ai

The error message you're seeing indicates that the

libstdc++.so.6

shared library, which is required by the Couchbase Python SDK, is missing from your Docker image. This issue can be resolved by adding the necessary library to your Docker image. You can do this by updating your Dockerfile to install the

libstdc++6

package. Here's an example of how you can do this:

Dockerfile FROM python:3.9  # Install necessary libraries RUN apt-get update && apt-get install -y libstdc++6  # Rest of your Dockerfile...

After updating your Dockerfile, you can rebuild your Docker image and then try running your command again. Please note that this is a general solution and might need to be adjusted based on your specific situation. If you're not sure how to adjust this solution for your situation, you might find the [Airbyte documentation](https://docs.airbyte.io/) helpful.