test upload to google drive #4
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WalkthroughThe notebook was updated with execution count resets, minor formatting adjustments, kernel metadata changes, and internal reference updates. A new function Changes
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Actionable comments posted: 0
🧹 Nitpick comments (2)
tribe_event_analytics_updated.ipynb (2)
10072-10090: Consider installing python-Levenshtein for better performance.The fuzzywuzzy library is showing a warning about using the slower pure-Python implementation of SequenceMatcher. For better performance, especially with larger datasets, consider installing the recommended package.
pip install python-Levenshtein
12869-12875: Execute or remove unexecuted cells.There's an unexecuted cell in the notebook (execution_count: null). Either execute this cell to ensure all code is properly tested, or remove it if it's not needed.
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tribe_event_analytics_updated.ipynb(31 hunks)
🔇 Additional comments (4)
tribe_event_analytics_updated.ipynb (4)
12804-12838: Fix the interrupted Azure Blob Storage import.The import of
BlobServiceClientis currently being interrupted. This could affect any blob storage operations in your notebook. Consider either removing this import if it's not needed or ensuring it completes properly.
12931-12951: Updated environment metadata appears correct.The kernel has been updated to "Python 3" and Python version to 3.12.10. These changes are consistent with standard environment configurations.
4695-4717: Query formatting changes have no functional impact.The minor spacing and indentation changes to the GraphQL query are purely cosmetic and don't affect functionality.
18-6937: Execution counts and reference changes are expected.The updates to execution counts, request IDs, and data frame references are normal changes that occur when re-running a notebook and don't affect functionality.
🧰 Tools
🪛 Gitleaks (8.26.0)
4689-4689: Uncovered a JSON Web Token, which may lead to unauthorized access to web applications and sensitive user data.
(jwt)
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Pull Request Overview
This PR updates notebook metadata (execution counts, cell outputs, references) and captures new stderr outputs for fuzzywuzzy and Azure imports in tribe_event_analytics_updated.ipynb, while bumping the notebook kernel display name and version.
- Normalize execution counts and cell metadata across the notebook
- Capture a new UserWarning from fuzzywuzzy
- Record a KeyboardInterrupt trace on Azure import cells
Comments suppressed due to low confidence (1)
tribe_event_analytics_updated.ipynb
Outdated
| "output_type": "stream", | ||
| "text": [ | ||
| "/home/vscode/.local/lib/python3.12/site-packages/fuzzywuzzy/fuzz.py:11: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning\n", | ||
| " warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')\n" |
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The fuzzywuzzy warning suggests a performance penalty; please add python-Levenshtein to your dependencies or suppress this warning if the pure-Python implementation is acceptable.
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Actionable comments posted: 1
♻️ Duplicate comments (15)
tribe_event_analytics_updated.ipynb (15)
18-18: Duplicate: Execution count metadata change
Notebook metadata execution counts have been updated. Consider clearing outputs and resetting execution_counts before committing to focus review on functional changes.
4747-4747: Duplicate: Execution count metadata change
Another execution_count bump—refer to the earlier duplicate comment on resetting execution counts.
6933-6933: Duplicate: Execution count metadata change
See prior comment about clearing cell outputs and resetting counts.
6954-6954: Duplicate: Execution count metadata change
Refer to the earlier guidance on metadata resets.
8920-8920: Duplicate: Execution count metadata change
Repeated execution_count update; consider clearing outputs as suggested.
8936-8936: Duplicate: Execution count metadata change
Another nonfunctional metadata bump—see earlier.
8957-8957: Duplicate: Execution count metadata change
Refer to the first comment for resetting execution counts.
10008-10008: Duplicate: Execution count metadata change
Nonfunctional notebook metadata update; clear before commit.
10072-10072: Duplicate: Execution count metadata change
Execution count changed—see earlier guidance.
10086-10086: Duplicate: Execution count metadata change
Metadata-only change; no impact on code.
10099-10099: Duplicate: Execution count metadata change
Repeated execution_count bump.
10399-10399: Duplicate: Execution count metadata change
See previous duplicate comments.
11597-11597: Duplicate: Execution count metadata change
Another metadata update—consider resetting.
11608-11608: Duplicate: Execution count metadata change
Nonfunctional metadata bump.
12726-12726: Duplicate: Execution count metadata change
Repeated execution_count update; see prior comment.
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📒 Files selected for processing (1)
tribe_event_analytics_updated.ipynb(26 hunks)
🧰 Additional context used
🪛 Gitleaks (8.26.0)
tribe_event_analytics_updated.ipynb
13933-13933: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
(generic-api-key)
🔇 Additional comments (10)
tribe_event_analytics_updated.ipynb (10)
4682-4682: Skip metadata extensionrequest_id
Thisrequest_idmetadata entry is internal and does not impact the notebook’s execution logic.
4698-4698: Skip GraphQL query formatting metadata
This change is within the notebook’s JSON structure and does not affect functional code.
4714-4714: Skip blank‐line insertion in JSON cell
This whitespace adjustment in the JSON cell payload is nonfunctional.
4821-4821: Skip DataWrangler viewerrefmetadata
This viewer metadata does not alter the notebook’s core logic.
7018-7018: Skip DataWrangler viewerrefmetadata
This identifier is part of the viewer state and not relevant to execution.
9026-9026: Skip DataWrangler viewerrefmetadata
This metadata relates to the viewer’s internal state.
10478-10478: Skip DataWrangler viewerrefmetadata
Viewer reference entries need not be reviewed here.
11682-11682: Skip DataWrangler viewerrefmetadata
Internal viewer metadata only.
14019-14019: Skip kernel display name update
Changing"display_name": "Python 3"is a minor metadata adjustment.
14033-14033: Skip Python version metadata update
Updating"version": "3.12.10"in metadata does not affect code logic.
| "outputs": [], | ||
| "source": [ | ||
| "# we create a function we can further apply to push our data to our azure blob storage\n", | ||
| "connection_string = \"DefaultEndpointsProtocol=https;AccountName=tribeds01;AccountKey=TOWR2+w/P4gD+z2YieJcTB+APBIzgpI47LvN7JOsFjTPgMl3aibkWPe74Rk6/lb6DfIH1+6PAD3r+AStPTzULg==;EndpointSuffix=core.windows.net\"\n", |
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🛠️ Refactor suggestion
Hardcoded Azure connection string exposes secrets
A raw AccountKey in connection_string is committed, risking credential leakage. Move this to a secure location (environment variable or secret manager) and load at runtime.
Example refactor:
- connection_string = "DefaultEndpointsProtocol=...;AccountKey=<secret>..."
+ import os
+ connection_string = os.getenv("AZURE_STORAGE_CONNECTION_STRING")📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| "connection_string = \"DefaultEndpointsProtocol=https;AccountName=tribeds01;AccountKey=TOWR2+w/P4gD+z2YieJcTB+APBIzgpI47LvN7JOsFjTPgMl3aibkWPe74Rk6/lb6DfIH1+6PAD3r+AStPTzULg==;EndpointSuffix=core.windows.net\"\n", | |
| import os | |
| connection_string = os.getenv("AZURE_STORAGE_CONNECTION_STRING") |
🧰 Tools
🪛 Gitleaks (8.26.0)
13933-13933: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
(generic-api-key)
🤖 Prompt for AI Agents
In tribe_event_analytics_updated.ipynb at line 13933, the Azure connection
string contains a hardcoded AccountKey, exposing sensitive credentials. Remove
the raw key from the code and instead load the connection string securely at
runtime from an environment variable or secret manager. Replace the hardcoded
string assignment with code that reads the connection string from the secure
source.
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@djibril968, CodeRabbit caught this well. We should avoid committing credentials in our code so they don't leak and get abused.
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Seems like the humans are having a chat. I'll hop back into my burrow for now. If you need me again, just tag @coderabbitai in a new comment, and I'll come hopping out!
The updated version comprises of syntax used to upload the dataframe to google drive
Summary by CodeRabbit