Refactor media storage for scalability #45
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WalkthroughThe changes in this pull request include updates to the Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant API
participant PerformanceModel
User->>API: Save Performance Report
API->>PerformanceModel: Call save_report()
PerformanceModel->>PerformanceModel: Generate directory path
PerformanceModel->>PerformanceModel: Store report in directory
PerformanceModel->>API: Return success
API->>User: Confirm report saved
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (3)
CHANGELOG.md (2)
26-27: LGTM! Consider adding more details to the bug fix descriptions.The additions to version 0.10.0 are well-formatted and follow the changelog guidelines. Good job on including the issue numbers for reference.
To improve clarity, consider adding brief explanations of the impact or importance of these fixes. For example:
- Fix admin % lighthouse inQueue value (#42) - Ensures accurate reporting of queued items - Performance folder is not deleted with model (#44) - Prevents orphaned data and improves storage management
Line range hint
30-34: Enhance consistency and maintain chronological order in version 0.9.2.While the new entry is relevant, there are a few suggestions to improve consistency:
- Consider using the emoji-based category system as seen in other versions. Replace "Improvements" with "🛠 Improvements".
- To maintain chronological order, place the new entry at the bottom of the list unless it's intentionally highlighted as the most recent change.
- For consistency with other entries, consider adding a brief description of the impact.
Here's a suggested revision:
## [0.9.2] - 2024-05-20 ### 🛠 Improvements - Minor modification to README.md (#34) - Update dependencies (#36) - Minor updates on website (#37) - Fix incident duration calculation (#29) - Ensures accurate reporting of incident timeframesdjango/performances/api.py (1)
Line range hint
63-67: Improve error handling in filename and screenshot generationThe current implementation uses bare except clauses, which can mask unexpected errors and make debugging more difficult. Consider improving the error handling in the following ways:
- For filename generation:
try: filename = f'{data["audits"]["final-screenshot"]["details"]["timestamp"]}' -except: +except KeyError as e: filename = f'{timezone.now().timestamp()}' + print(f"Warning: Could not find timestamp in audit data. Using current time. Error: {e}")
- For screenshot generation:
try: screenshot_as_a_string = data['audits']['final-screenshot']['details']['data'] screenshot_as_a_string = screenshot_as_a_string.replace('data:image/jpeg;base64,', '') screenshot = default_storage.save(f'{path}/{filename}.jpg', ContentFile(base64.b64decode(screenshot_as_a_string))) -except: +except (KeyError, base64.binascii.Error) as e: screenshot = None + print(f"Warning: Failed to generate screenshot. Error: {e}")These changes will provide more specific error handling and logging, which can be helpful for debugging and monitoring the application's behavior.
Also applies to: 80-85
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65-65: Do not use bare
except(E722)
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📒 Files selected for processing (4)
- CHANGELOG.md (1 hunks)
- django/performances/api.py (1 hunks)
- django/performances/apps.py (0 hunks)
- django/performances/models.py (2 hunks)
💤 Files with no reviewable changes (1)
- django/performances/apps.py
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🔇 Additional comments (3)
CHANGELOG.md (1)
Line range hint
1-43: Overall, the CHANGELOG.md updates are well-structured and informative.The changes made to the changelog effectively document the recent updates to the project. The use of issue numbers for reference is particularly helpful.
To further enhance the changelog:
- Maintain consistency in category labeling across versions (e.g., using emojis).
- Consider adding brief explanations of the impact of each change when possible.
- Ensure chronological order within each version's list of changes.
These minor adjustments will make the changelog even more valuable for users and contributors.
django/performances/api.py (2)
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1-115: Overall assessment of changes in django/performances/api.pyThe changes made to the
save_reportfunction, specifically the use ofperformance.directory_path(), are appropriate and likely improve code maintainability. The core functionality of the function remains intact, and the change is consistent with good coding practices.To further enhance the code quality, consider implementing the suggested improvements in error handling for both filename and screenshot generation. These changes will make the code more robust and easier to debug.
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65-65: Do not use bare
except(E722)
62-62: Approve the use ofperformance.directory_path()The change to use
performance.directory_path()for generating the file path is a good improvement. It encapsulates the path generation logic within the Performance model, which can lead to better maintainability and consistency across the codebase.To ensure the correctness of this change, please verify the implementation of the
directory_path()method in the Performance model. Run the following script to check its implementation:Additionally, check if this method is used consistently across the codebase:
✅ Verification successful
Verified the implementation and usage of
directory_path()The
directory_path()method is properly implemented in thePerformancemodel withindjango/performances/models.pyand is consistently used across the codebase, including indjango/performances/api.py. No issues were found related to this change.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the implementation of the directory_path() method in the Performance model # Test: Search for the directory_path method in the Performance model ast-grep --lang python --pattern 'class Performance($$$): $$$ def directory_path(self): $$$'Length of output: 3879
Script:
#!/bin/bash # Description: Check for consistent usage of directory_path() method # Test: Search for other occurrences of directory_path() method rg --type python 'directory_path\(\)'Length of output: 70
Script:
#!/bin/bash # Description: Retry searching for occurrences of directory_path() method without specifying file type rg 'directory_path\(\)'Length of output: 379
Script:
#!/bin/bash # Description: Alternative approach to find usage of directory_path() method by searching Python files # Find all Python files and search for directory_path() fd --extension py | xargs rg 'directory_path\(\)'Length of output: 405
sebastienbarbier
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sebastienbarbier
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (1)
django/performances/models.py (1)
5-6: Remove unused importThe
slugifyfunction is imported but not used in the visible code. Consider removing this unused import to keep the codebase clean.Apply this change:
from django.core.files.storage import default_storage -from django.template.defaultfilters import slugify🧰 Tools
🪛 Ruff
6-6:
django.template.defaultfilters.slugifyimported but unusedRemove unused import:
django.template.defaultfilters.slugify(F401)
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📒 Files selected for processing (4)
- CHANGELOG.md (1 hunks)
- django/core/settings.py (1 hunks)
- django/core/storage_backends.py (1 hunks)
- django/performances/models.py (2 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- CHANGELOG.md
🧰 Additional context used
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django/performances/models.py
6-6:
django.template.defaultfilters.slugifyimported but unusedRemove unused import:
django.template.defaultfilters.slugify(F401)
🔇 Additional comments (4)
django/performances/models.py (3)
50-54: Approved: Improved directory path generationThe
directory_pathmethod provides a consistent and secure way to generate directory paths for performances. By using primary keys instead of potentially sensitive information, it addresses the previous concern about PII exposure in file paths.
69-69: Approved: Consistent use of directory pathThe update to
user_directory_pathfunction ensures consistency in directory path generation by utilizing thedirectory_pathmethod of thePerformancemodel. This change aligns with the improved approach to handle file paths securely.
55-64:⚠️ Potential issueImprove exception handling and adjust deletion order
While the current implementation includes exception handling, there are a few areas for improvement:
- The order of operations: Delete the directory before deleting the model instance to prevent orphaned files if directory deletion fails.
- Use proper logging instead of
Consider applying these changes:
+import logging def delete(self): + logger = logging.getLogger(__name__) + dir_path = self.directory_path() + if default_storage.exists(dir_path): + try: + # Deletes the folder and all its contents + default_storage.delete(dir_path) + except Exception as e: + logger.error(f"Error deleting folder: {e}") + # Optionally, re-raise the exception if you want to prevent deletion + # raise e # Delete the model instance after files are deleted super().delete() - if default_storage.exists(self.directory_path()): - try: - # Deletes the folder and all its contents - default_storage.delete(self.directory_path()) - except Exception as e: - print(f"Error deleting folder: {e}")This ensures that if file deletion fails, the model instance remains in the database, allowing for retrying the deletion or handling the error appropriately.
django/core/settings.py (1)
98-100: Verify the necessity ofSTATIC_ROOTwhen using S3 for static filesWhen using Amazon S3 as the storage backend for static files (
STATICFILES_STORAGE = 'storages.backends.s3boto3.S3Boto3Storage'), thecollectstaticcommand uploads files directly to S3. SettingSTATIC_ROOTmay not be necessary because static files are not collected into a local directory. Please confirm ifSTATIC_ROOT = os.path.join(BASE_DIR, 'collectstatic')is required in this context.
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Actionable comments posted: 2
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- django/performances/models.py (2 hunks)
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django/performances/models.py
6-6:
django.template.defaultfilters.slugifyimported but unusedRemove unused import:
django.template.defaultfilters.slugify(F401)
🔇 Additional comments (4)
django/performances/models.py (2)
69-69: LGTM: Improveduser_directory_pathfunctionThe updated
user_directory_pathfunction looks good. It correctly utilizes the newdirectory_pathmethod of the performance instance, resulting in a more consistent and maintainable directory structure for uploaded files.
55-63:⚠️ Potential issueImprove robustness and error handling in
deletemethodThe current implementation of the
deletemethod has some potential issues:
- The order of operations could lead to orphaned files if directory deletion fails.
- Using
- The method might not work correctly with all storage backends.
Here's a suggested implementation that addresses these issues:
import logging def delete(self): logger = logging.getLogger(__name__) dir_path = self.directory_path() if default_storage.exists(dir_path): try: # List all files and directories within the directory dirs, files = default_storage.listdir(dir_path) # Delete all files for file in files: file_path = os.path.join(dir_path, file) default_storage.delete(file_path) # Delete all subdirectories for subdir in dirs: subdir_path = os.path.join(dir_path, subdir) default_storage.delete(subdir_path) # Delete the now-empty directory default_storage.delete(dir_path) except Exception as e: logger.error(f"Error deleting directory {dir_path}: {e}") raise # Re-raise the exception to prevent deletion of the model instance # Delete the model instance after files are deleted super().delete()This implementation:
- Attempts to delete the directory and its contents before deleting the model instance.
- Uses proper logging for error handling.
- Implements a more thorough directory deletion process that should work with various storage backends.
- Raises the exception if directory deletion fails, preventing the model instance from being deleted and potentially leaving orphaned files.
To ensure this implementation works correctly with your storage backend, you may want to test it thoroughly, especially if you're using a cloud storage service like S3.
django/core/settings.py (2)
98-98: Verify thatSTATIC_ROOTchange to 'collectstatic' is appropriateChanging
STATIC_ROOTtoos.path.join(BASE_DIR, 'collectstatic')may affect your deployment setup, especially if your deployment scripts or services expect static files in the previous directory (staticfiles). Please ensure that this change aligns with your deployment processes, and update any related configurations if necessary.
105-106: Validation check forAWS_S3_CUSTOM_DOMAINadded successfullyAdding the validation check for
AWS_S3_CUSTOM_DOMAINensures that the application will alert you if the custom domain is not set when using S3 storage, preventing potential runtime errors due to misconfiguration.
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (3)
django/settings/models.py (1)
14-15: LGTM! Consider adding a docstring for clarity.The
directory_pathmethod is a good addition to theProfilemodel. It provides a clean way to generate a unique directory path for each user, which can be useful for organizing user-specific files or data.Consider adding a brief docstring to explain the purpose and return value of the method. For example:
def directory_path(self): """ Generate a unique directory path for the user. Returns: str: A string in the format 'user_{user_id}'. """ return f'user_{self.user.pk}'This will improve code readability and make it easier for other developers to understand the method's purpose at a glance.
django/settings/signals.py (1)
1-7: Remove unused importThe
django.conf.settingsimport on line 3 is not used in this file. Consider removing it to keep the imports clean and relevant.Apply this diff to remove the unused import:
-from django.conf import settings🧰 Tools
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3-3:
django.conf.settingsimported but unusedRemove unused import:
django.conf.settings(F401)
django/projects/models.py (1)
122-123: Approve the newdirectory_pathmethod with suggestions for improvement.The new
directory_pathmethod is a good addition to theProjectmodel, providing a consistent way to generate unique directory paths for projects. However, consider the following suggestions to improve robustness:
- Add input validation to ensure
self.userandself.pkare not None.- Consider using
os.path.joinfor better cross-platform compatibility.Here's an improved version:
import os def directory_path(self): if self.user_id is None or self.pk is None: raise ValueError("User or Project primary key is missing") return os.path.join(f'user_{self.user_id}', f'prjct_{self.pk}')This version handles potential errors and uses
os.path.joinfor better portability.
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📒 Files selected for processing (5)
- django/performances/models.py (2 hunks)
- django/projects/models.py (1 hunks)
- django/settings/apps.py (1 hunks)
- django/settings/models.py (1 hunks)
- django/settings/signals.py (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- django/performances/models.py
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django/settings/apps.py
8-8:
settings.signalsimported but unusedRemove unused import:
settings.signals(F401)
django/settings/signals.py
3-3:
django.conf.settingsimported but unusedRemove unused import:
django.conf.settings(F401)
🔇 Additional comments (3)
django/settings/apps.py (1)
7-8: LGTM! Thereadymethod is correctly implemented.The addition of the
readymethod in theSettingsConfigclass is a good practice in Django for loading and registering signals when the application starts. This ensures that the signal handlers insettings.signalsare properly set up.Regarding the static analysis warning about the unused import:
- This is a false positive. In Django, importing modules in the
readymethod is often done for their side effects (like registering signal handlers) rather than for direct usage.- The comment "# Load signals" provides clear context for why this import is necessary.
No changes are needed. The implementation is correct and follows Django best practices.
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8-8:
settings.signalsimported but unusedRemove unused import:
settings.signals(F401)
django/settings/signals.py (1)
9-10: LGTM: Signal receiver implementationThe
@receiverdecorator is correctly used to connect thedelete_user_directoryfunction to thepost_deletesignal of theProfilemodel. This ensures that user directories are cleaned up when a profile is deleted.django/projects/models.py (1)
122-123: Verify the usage of the newdirectory_pathmethod across the codebase.The new
directory_pathmethod seems to be intended for use in other parts of the application, likely for file storage or organization. To ensure it's being used correctly and consistently, please verify its usage across the codebase.Run the following script to check for usage of the
directory_pathmethod:This will help identify where the method is being used and if there are any places where similar path construction is happening manually, which could be replaced with this new method.
✅ Verification successful
Usage of the
directory_pathmethod is verified across the codebase.
Found usages in:
django/performances/models.pydjango/performances/api.pydjango/settings/signals.pyNo instances of manual path constructions were detected.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for usage of the directory_path method in the Project model # Test: Search for method calls to directory_path on Project instances rg --type python -A 5 $'\.directory_path\(' # Test: Search for string patterns that might be manually constructing similar paths rg --type python -A 5 $'user_\d+/prjct_\d+'Length of output: 151
Script:
#!/bin/bash # Description: Recheck for usage of the directory_path method in the Project model using file extension # Test: Search for method calls to directory_path on Project instances within .py files rg '\.directory_path\(' --glob '*.py' -A 5 # Test: Search for string patterns that might be manually constructing similar paths within .py files rg 'user_\d+/prjct_\d+' --glob '*.py' -A 5Length of output: 2331
Summary by CodeRabbit
New Features
Bug Fixes
Documentation