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autosubmit climate experiments hpc research science workflow
94 Open Issues Need Help Last updated: Jul 6, 2026

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enhancement good first issue performance

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good first issue traceability priority:low

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documentation enhancement good first issue priority:low

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enhancement good first issue discussion priority:medium logging

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bug documentation good first issue discussion priority:medium pending-validation

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good first issue project:destine priority:low

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bug good first issue batch_server:pjm project:hanami

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good first issue project:destine priority:high pending-validation

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good first issue refactoring

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bug good first issue priority:low

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good first issue project:destine discussion new feature priority:low

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bug good first issue priority:low

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documentation good first issue priority:low

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Automate PyPI releases about 2 months ago
enhancement good first issue

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bug good first issue discussion priority:low

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good first issue new feature priority:low

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good first issue priority:low portability

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good first issue destine priority:low config pending-validation

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good first issue discussion testing priority:low

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documentation good first issue priority:low wrappers

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good first issue testing priority:low

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bug good first issue refactoring priority:low

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documentation good first issue priority:low

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good first issue refactoring priority:low performance

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good first issue destine discussion priority:low

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good first issue discussion containers dependencies priority:low

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good first issue discussion refactoring priority:low statistics

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documentation good first issue priority:low statistics

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good first issue dependencies priority:low security

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bug good first issue destine priority:low log_retrieval

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good first issue destine priority:low config

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enhancement good first issue help wanted destine priority:medium

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bug good first issue priority:low

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documentation good first issue destine discussion

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good first issue destine

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good first issue

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enhancement good first issue discussion

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documentation good first issue

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good first issue

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AI Summary: The `send_file` integration test is intermittently failing, causing build failures and non-deterministic test behavior. The exact cause is unknown but is speculated to be related to port allocation conflicts or other environmental factors.

Complexity: 3/5
bug good first issue testing

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#autosubmit#climate#experiments#hpc#research#science#workflow
documentation good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow
good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow

AI Summary: Investigate the `set_error_level` function in the Autosubmit `log.py` file. Determine if it's unintentionally modifying the `error` function and if it can be safely removed. This involves code review, testing, and potentially removing the function if deemed unnecessary.

Complexity: 2/5
bug good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow

AI Summary: Debug and fix an infinite loop in the Autosubmit logging module's `Log.set_file` function. The loop occurs when the target log file is not created, preventing the retry mechanism from working correctly. The fix should ensure that the retry counter increments properly, allowing the function to exit gracefully after a specified number of attempts or when the file is successfully created.

Complexity: 4/5
bug good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow

AI Summary: The task is to fix a bug in the Autosubmit configuration parser where the `check_autosubmit_conf` function always returns `True`, regardless of the input. This requires analyzing the code, identifying why the `return False` statement is unreachable, and correcting the logic to ensure the function accurately validates the configuration file.

Complexity: 3/5
bug good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow

AI Summary: Update the Autosubmit documentation to include logos for GANANA, HPCW, TerraDT, and the updated esiwace logo. This involves finding the appropriate logos and integrating them into the existing documentation.

Complexity: 2/5
documentation good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow

AI Summary: Update the Autosubmit project's CONTRIBUTING.md file to include instructions on how to run the Slurm tests locally. This involves adding the provided bash commands for setting up a Docker container and configuring SSH access to run the tests within the container.

Complexity: 3/5
documentation good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow

AI Summary: The task is to enhance the Autosubmit workflow manager to allow specifying 'current' dependencies between calendar splits. Currently, only 'previous' and 'all' are supported for automatically generated splits. The goal is to enable a dependency where a task in one split depends on the corresponding task in another split with the same date, rather than the previous or all days.

Complexity: 4/5
documentation good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow

AI Summary: Investigate why the `save` variable in the Autosubmit Slurm Platform code (autosubmit/autosubmit.py#L2283C25-L2287C124) is always false, preventing the `save()` function from executing. Determine if this is intentional or a bug, and suggest a fix or removal if necessary. The goal is to improve code correctness and potentially increase test coverage.

Complexity: 4/5
bug good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow

AI Summary: Debug and fix an error in the Autosubmit workflow manager's `create` command. The error, indicated by error code 7014, occurs when creating an experiment and is related to missing or improperly formatted data in the platform configuration sections (PROJECT, GIT/SVN, or LOCAL). The `refresh` command works correctly, suggesting the issue lies specifically within the `create` command's handling of platform data. The fix likely involves improving error messages to pinpoint the exact cause within the platform configuration and handling cases where platform values are empty or null.

Complexity: 4/5
enhancement good first issue

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#autosubmit#climate#experiments#hpc#research#science#workflow