Fall back to sys.argv[0] when __file__ is not defined

[mbid]

Databricks runs Git-sourced Python files via IPython where file is not defined, causing NameError. Use sys.argv[0] as fallback.

[greptile-apps]

Greptile Summary

This PR applies a uniform defensive fix across five benchmark entry-point scripts to prevent NameError when scripts are executed via IPython on Databricks Git-sourced runs, where __file__ is not injected into the module namespace. The fix adds a conditional fallback to sys.argv[0] when __file__ is unavailable.

Key observations:

• The guard mechanism ('__file__' in dir()) is functionally correct: dir() without arguments reflects the module's global namespace and accurately detects whether __file__ has been defined by the Python runtime.
• No new dependencies or logic are introduced; this is purely defensive path-resolution boilerplate.
• The fix prevents a hard NameError crash on Databricks IPython kernel execution.
• The choice of sys.argv[0] as a fallback introduces some uncertainty: in certain IPython execution modes (e.g., when code is exec'd rather than run via CLI), sys.argv[0] may point to the kernel launcher rather than the user script, which could result in an incorrect utils_dir path. However, this concern is a known architectural trade-off in the fallback strategy and does not invalidate the fix's primary purpose of preventing the NameError.

Confidence Score: 3/5

• The fix prevents a hard crash in Databricks IPython contexts, but the fallback value sys.argv[0] may not always resolve to the expected script path in all kernel execution modes.
• The five-file change is small, self-contained, and correct at the functional level: the guard logic cannot regress normal (__file__-present) execution. The remaining uncertainty stems from the reliability of sys.argv[0] in various Databricks IPython kernel configurations, which could potentially cause silent failures (wrong utils_dir path) rather than loud ones. This architectural limitation on the fallback strategy is known and documented but unresolved, justifying a 3/5 rather than a higher score.
• No files require special attention. All five modified files apply the same pattern with consistent safety properties.

Flowchart

%%{init: {'theme': 'neutral'}}%%
flowchart TD
    A[Script starts] --> B{"__file__ in dir?"}
    B -- Yes --> C[Use __file__]
    B -- "No: IPython/Databricks" --> D["Use sys.argv[0]"]
    C --> E["os.path.dirname(path)"]
    D --> E
    E --> F["parent_dir = abspath(dirname + '..')"]
    F --> G["utils_dir = parent_dir/utils"]
    G --> H{utils_dir in sys.path?}
    H -- No --> I["sys.path.insert(0, utils_dir)"]
    H -- Yes --> J[Skip insert]
    I --> K[Import utils modules]
    J --> K

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_{Last reviewed commit: a7ec577}

[greptile-apps]

_{5 files reviewed, 2 comments}

_{Edit Code Review Agent Settings | Greptile}

[greptile-apps]

sys.argv[0] may not point to the script in all IPython/Databricks contexts

In certain Databricks execution modes (e.g. when code is exec'd by IPython rather than run via ipython script.py on the CLI), sys.argv[0] will be the IPython launcher path (e.g. /usr/local/lib/python3.x/dist-packages/ipykernel_launcher.py) rather than the user script path. In that case os.path.dirname(sys.argv[0]) resolves to the wrong directory, and the subsequent sys.path.insert silently adds a non-existent utils directory, causing the immediately following from check import ... or from spark_utils import ... to raise an ImportError.

The same issue applies identically in all five changed files: nds-h/nds_h_gen_data.py:40, nds-h/nds_h_gen_query_stream.py:37, nds-h/nds_h_power.py:45, nds/nds_maintenance.py:48, nds/nds_power.py:49.

A more robust fallback would use inspect to resolve the actual source file, or at minimum validate that the resolved utils_dir exists before inserting it:

import inspect as _inspect

def _get_script_path():
    try:
        return __file__
    except NameError:
        pass
    frame = _inspect.currentframe()
    if frame and frame.f_back:
        src = _inspect.getfile(frame.f_back)
        if src != '<string>':
            return src
    return sys.argv[0]

parent_dir = os.path.abspath(os.path.join(os.path.dirname(_get_script_path()), '..'))

At minimum, please verify (ideally with a CI test or a note in the PR) that sys.argv[0] reliably holds the script path in the specific Databricks Git-sourced task execution mode you are targeting.

[greptile-apps]

Prefer try/except NameError over dir() membership check

'__file__' in dir() is less idiomatic than a try/except NameError block and produces a harder-to-read one-liner. The standard Python pattern for handling a potentially-undefined built-in name is:

Suggested change

	parent_dir = os.path.abspath(os.path.join(os.path.dirname(__file__ if '__file__' in dir() else sys.argv[0]), '..'))
	_script_file = sys.argv[0]
	try:
	_script_file = __file__
	except NameError:
	pass
	parent_dir = os.path.abspath(os.path.join(os.path.dirname(_script_file), '..'))

This also applies to the identical line in nds-h/nds_h_gen_query_stream.py:37, nds-h/nds_h_power.py:45, nds/nds_maintenance.py:48, and nds/nds_power.py:49.

_{Note: If this suggestion doesn't match your team's coding style, reply to this and let me know. I'll remember it for next time!}

[wjxiz1992]

@mbid please add sign-off when commit, to ease the CI check.

[mbid]

@mbid please add sign-off when commit, to ease the CI check.

I force pushed after git commit --amend --signoff.

[mbid]

Is anything else required from my side to get this merged?

[gerashegalov]

I force pushed after git commit --amend --signoff.

We strive to avoid forced-pushs. The check is for just at least one commit on the PR branch to have been signed. Signing an empty commit git commit -s --allow-empty -m signing would have sufficed.

Is anything else required from my side to get this merged?

I find the comments raised by greptile legitimate and easy to address.

[gerashegalov]

Since there is no activity on this PR we fixed it via #255. Thank you @mbid for contributing a fix idea in this PR