@ancient-wolf-19325 I have a workflow that I want to run in a local cluster. I noticed that the tasks rely on environment variables. Therefore, I added to my

pyflyte run

command the missing env-vars with

--env my-var="hello" --env my-var-2="reader"

. This fails with the following error:

Request rejected by the API, due to Invalid input.
RPC Failed, with Status: StatusCode.INVALID_ARGUMENT
        Details: src.workflows.run_pipeline.pipeline workflow with different structure already exists. (Please register a new version of the workflow):

1. How do I fix this? 2. Is there an easier way to give environmental variables to a workflow? best case would be to give a

.env

-file

1. Fixing the Error: The error message indicates that the workflow structure has changed, and a new version needs to be registered. This typically happens when the workflow's interface or structure is modified. Ensure that the workflow is registered with the latest changes before running it. You can use

pyflyte register

to register the updated workflow version. 2. Passing Environment Variables: Flyte tasks can be configured to use environment variables by specifying them in the task definition. According to Flyte documentation, you can specify environment variables directly in the task using the

environment

parameter in the

@task

decorator. For example:

from flytekit import task

   @task(environment={"MY_ENV_VAR": "my_value"})
   def my_task() -> str:
       import os
       return os.environ["MY_ENV_VAR"]

If you want to use a

.env

file, you can load the environment variables in your Python script before running the workflow. Use a library like

python-dotenv

to load the variables:

from dotenv import load_dotenv
   import os

   load_dotenv()  # Load environment variables from a .env file

   @task
   def my_task() -> str:
       return os.environ["MY_ENV_VAR"]

Would you like more detail on any of these steps? Sources: - Flyte Environment Variables 👍 0 button 👎 1 button 💡 Hint: Mention @ancient-wolf-19325 in the thread for followups.

@ancient-wolf-19325 1. The code itself did not change. Running

pyflyte register

runs successfully, but how do I run the newly registered workflow? Do I just run

pyflyte run

again? Because here I receive the same error again. 2. I actually (try to) load the env-vars via

pydantic-settings

in the workflow definition, but when running these do not seem to be set

1. Running the Newly Registered Workflow: After successfully registering your workflow with

pyflyte register

, you should run it using the

pyflyte run

command with the

--remote

flag to ensure it executes on the Flyte cluster. This command will use the latest registered version of the workflow. Here's an example:

pyflyte run --remote --project <your_project> --domain <your_domain> <path_to_your_workflow_file> <workflow_name>

Ensure that the project and domain match those used during registration. 2. Loading Environment Variables with Pydantic: If you're using

pydantic-settings

to load environment variables, ensure that the environment variables are set in the environment where the Flyte tasks are executed. Flyte tasks run in isolated environments, so environment variables need to be explicitly set in the task configuration or loaded within the task using a library like

python-dotenv

. Here's an example of how you can load environment variables within a task:

from pydantic import BaseSettings
   from flytekit import task

   class Settings(BaseSettings):
       my_var: str
       my_var_2: str

   @task
   def my_task() -> str:
       settings = Settings()
       return f"{settings.my_var} {settings.my_var_2}"

Ensure that the environment variables are available in the task's execution environment, either by setting them in the task definition or by loading them from a

.env

file. Would you like more detail on any of these steps? Sources: - https://github.com/flyteorg/flyte/blob/master/docs/user_guide/flyte_fundamentals/running_and_scheduling_workflows.md - https://github.com/flyteorg/flyte/issues/4503 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

When someone else run into this issue: I needed to create a new project, then it worked 🤷