Add example for get_cache_data() #625
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""" WalkthroughThe pull request modifies the Changes
Sequence Diagram(s)sequenceDiagram
participant N as Notebook
participant I as executorlib API
participant H as HDF Module
N->>I: Call get_cache_data()
I->>H: Invoke get_cache_data()
H-->>I: Return cached data
I-->>N: Provide cached data for DataFrame assembly
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🧰 Additional context used🧬 Code Definitions (1)tests/test_singlenodeexecutor_cache.py (1)
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #625 +/- ##
==========================================
- Coverage 96.44% 96.29% -0.15%
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Files 28 28
Lines 1265 1270 +5
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+ Hits 1220 1223 +3
- Misses 45 47 +2 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Actionable comments posted: 0
🔭 Outside diff range comments (1)
executorlib/__init__.py (1)
14-29: 💡 Verification agent🧩 Analysis chain
Verify that users of
get_cache_datahandle ImportErrorSince
get_cache_datais conditionally available, any code that uses it directly needs to handle the case when the function is not available.
🏁 Script executed:
#!/bin/bash # Search for direct usage of get_cache_data to ensure proper error handling echo "Checking for direct imports of get_cache_data..." rg "from executorlib import get_cache_data" -A 5 echo "Checking for direct usage of get_cache_data..." rg "get_cache_data\(" -A 5Length of output: 2482
Action Required: Ensure Proper Handling of Missing
get_cache_dataThe verification revealed that
get_cache_datais directly imported and called in both tests and notebooks without guarding against its potential absence. Please update these usages so that they safely handle an ImportError. For example:
tests/test_singlenodeexecutor_cache.py:
Wrap calls toget_cache_data()in a try/except block or check for its availability before invoking it.notebooks/1-single-node.ipynb:
Modify the code sample that callsget_cache_data(...)to verify that the function exists (or include error handling) to avoid runtime errors when it isn’t available.🧰 Tools
🪛 Ruff (0.8.2)
29-29: Invalid format for
__all__, must betupleorlist(PLE0605)
🧹 Nitpick comments (2)
executorlib/__init__.py (2)
12-13: Consider using a more specific type annotationThe type annotation for
_hdf_lstcould be more specific. Instead of using the genericlist, consider usinglist[Callable]or similar to better indicate that this list will store function objects.-_hdf_lst: list = [] +_hdf_lst: list[Callable] = []This would require adding
from typing import Callableat the top of the file.
14-20: Consider providing feedback when an import failsCurrently, the code silently passes when the import fails. You might want to add a logging statement to inform users about the missing dependency and how to install it.
try: from executorlib.standalone.hdf import get_cache_data except ImportError: - pass + import warnings + warnings.warn( + "get_cache_data is not available. Install h5py and cloudpickle to use this feature." + ) else: _hdf_lst += [get_cache_data]
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executorlib/__init__.py(2 hunks)
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🧬 Code Definitions (1)
executorlib/__init__.py (1)
executorlib/standalone/hdf.py (1)
get_cache_data(108-122)
🪛 Ruff (0.8.2)
executorlib/__init__.py
29-29: Invalid format for __all__, must be tuple or list
(PLE0605)
🔇 Additional comments (2)
executorlib/__init__.py (2)
14-20: Good implementation of conditional importThe approach for conditionally importing and exposing
get_cache_databased on dependency availability is well-implemented. This pattern allows the module to work even when optional dependencies are not installed.
29-29: Extending__all__with_hdf_lstis correctThe method of extending
__all__with_hdf_lstis a good approach for conditionally adding the imported function to the module's public API.The static analysis warning about the format of
__all__appears to be a false positive - extending a list with another list using the+=operator is perfectly valid Python.🧰 Tools
🪛 Ruff (0.8.2)
29-29: Invalid format for
__all__, must betupleorlist(PLE0605)
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Actionable comments posted: 1
🧹 Nitpick comments (1)
executorlib/__init__.py (1)
19-26: Consider a more maintainable approach for optional importsThe current approach works but could be improved for better maintainability as the module grows.
Consider a more structured approach that collects all optional imports in one place:
+_optional_imports = [] + try: from executorlib.standalone.hdf import get_cache_data except ImportError: pass else: - __all__ += [get_cache_data] + _optional_imports.append("get_cache_data") + +__all__ += _optional_importsThis pattern will be easier to maintain when adding more optional imports in the future.
🧰 Tools
🪛 Ruff (0.8.2)
25-25: Invalid object in
__all__, must contain only strings(PLE0604)
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executorlib/__init__.py(1 hunks)
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🪛 Ruff (0.8.2)
executorlib/__init__.py
25-25: Invalid object in __all__, must contain only strings
(PLE0604)
🔇 Additional comments (1)
executorlib/__init__.py (1)
27-27: LGTM - Version definition looks goodThe version definition is properly implemented.
Summary by CodeRabbit
get_cache_datafunction based on import success.get_cache_datato streamline module organization.