@ancient-wolf-19325 how can I access the value of Flyte internal execution ID from the task level?

To access the Flyte internal execution ID from within a task, you can use the

flytekit.current_context().execution_id

method. Here's an example:

import flytekit

@flytekit.task
def my_task():
    execution_id = flytekit.current_context().execution_id.name
    print(f"Execution ID: {execution_id}")

This method retrieves the execution ID from the current Flyte context. Would you like more detail? Sources: - Flyte GitHub Issue #3696 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 can I also refer to the name of the bucket (object storage container) automatically created by Flyte?

Yes, you can refer to the name of the bucket (object storage container) used by Flyte. The bucket name is typically configured in the Flyte deployment settings. You can access this configuration through the Flyte context or environment variables. For example, if you have configured the bucket name in your Flyte deployment YAML file, you can access it as follows:

import os

bucket_name = os.getenv("FLYTE_STORAGE_BUCKET_NAME")
print(f"Bucket Name: {bucket_name}")

Would you like more detail? Sources: - Flyte Deployment Configuration - Flyte Data Management 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 there is no such environment variable present.

Flyte does not automatically create an environment variable for the bucket name. Instead, you can access the storage configuration through the Flyte context or by directly referencing the configuration settings in your deployment files. To access the storage bucket name from the Flyte context, you can use the following approach:

import flytekit

@flytekit.task
def my_task():
    storage_config = flytekit.current_context().storage
    bucket_name = storage_config.default_remote.prefix
    print(f"Bucket Name: {bucket_name}")

This method retrieves the storage configuration from the current Flyte context. Would you like more detail? Sources: - Flyte Deployment Configuration - Flyte Storage Configuration 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 this seems wrong:

AssertionError: STORAGE not available as a parameter in Flyte context - are you in right task-type?

Flyte does not provide direct access to the storage configuration through the Flyte context in the way described. Instead, you should configure and access the storage settings through your deployment configuration files. To access the storage bucket name, you can refer to the configuration settings in your Flyte deployment YAML file. Here is an example of how you might configure and access the storage settings: 1. Configure Storage in Deployment YAML: Ensure your Flyte deployment YAML file includes the storage configuration. For example:

storage:
     type: s3
     connection:
       endpoint: http://minio.flyte.svc.cluster.local:9000
       access-key: minio
       secret-key: miniostorage
     container: my-s3-bucket

2. Access Storage Configuration in Task: Since Flyte does not expose storage configuration directly in the task context, you can pass the bucket name as an environment variable or task input. Here is an example of passing it as an environment variable:

import os
   from flytekit import task, workflow

   @task
   def my_task() -> str:
       bucket_name = os.getenv("FLYTE_STORAGE_BUCKET_NAME", "default-bucket")
       print(f"Bucket Name: {bucket_name}")
       return bucket_name

   @workflow
   def my_workflow() -> str:
       return my_task()

   if __name__ == "__main__":
       os.environ["FLYTE_STORAGE_BUCKET_NAME"] = "my-s3-bucket"
       print(my_workflow())

Would you like more detail? Sources: - https://github.com/flyteorg/flyte/issues/4503 - https://discuss.flyte.org/t/10142/hi-i-am-trying-to-return-a-spark-data-frame-but-having-this-/ Note: I wasn’t able to find highly relevant data sources, but above are a few potentially relevant links. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 what if my bucket name is dynamic? Is there no way to reference the default (configured via Helm chart) bucket in

remote_path

of

FlyteFile

for example?

Flyte does not provide a direct way to dynamically reference the default bucket name configured via the Helm chart within the task code. However, you can work around this by passing the bucket name as a parameter or environment variable to your tasks. Here’s how you can achieve this: 1. Configure the Bucket Name in Helm Chart: Ensure your Flyte deployment YAML file includes the storage configuration with a dynamic bucket name.

storage:
     type: s3
     connection:
       endpoint: http://minio.flyte.svc.cluster.local:9000
       access-key: minio
       secret-key: miniostorage
     container: my-dynamic-s3-bucket

2. Pass the Bucket Name to the Task: You can pass the bucket name as an environment variable or as a task input. Here’s an example using an environment variable:

import os
   from flytekit import task, workflow, FlyteFile

   @task
   def my_task() -> str:
       bucket_name = os.getenv("FLYTE_STORAGE_BUCKET_NAME", "default-bucket")
       remote_path = f"s3://{bucket_name}/path/to/file"
       flyte_file = FlyteFile(remote_path)
       print(f"FlyteFile Path: {flyte_file.path}")
       return flyte_file.path

   @workflow
   def my_workflow() -> str:
       return my_task()

   if __name__ == "__main__":
       os.environ["FLYTE_STORAGE_BUCKET_NAME"] = "my-dynamic-s3-bucket"
       print(my_workflow())

This approach allows you to dynamically reference the bucket name configured via the Helm chart by setting it as an environment variable. Would you like more detail? Sources: - https://docs.flyte.org/en/latest/concepts/data_management.html - https://github.com/flyteorg/flyte/issues/4881 Note: I wasn’t able to find highly relevant data sources, but above are a few potentially relevant links. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.