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WalkthroughThe recent update involves integrating authentication credentials for Twitter and AWS, enhancing the application's ability to interact with these services securely. This change facilitates seamless API access, ensuring that data exchanges are both safe and efficient. Changes
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| TWITTER_OAUTH_TOKEN = "123123123123" | ||
| TWITTER_OAUTH_SECRET = "1234567891234" | ||
| AWS_CREDENTIALS = { 'key': '123123123123', 'secret': '1234567891234' } |
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The hardcoding of sensitive information such as OAuth tokens and AWS credentials directly in the source code poses a significant security risk. If this code is shared or stored in a version control system, these credentials could be exposed to unauthorized individuals. It is recommended to use environment variables or a secure vault service for storing sensitive information. This approach allows the credentials to be accessed securely at runtime without being exposed in the codebase.
| nltk.download('punkt') | ||
| nltk.download('stopwords') |
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Downloading NLTK data (punkt and stopwords) directly in the script can lead to repeated downloads and potential failures in environments where internet access is restricted or where NLTK's servers are unreachable. It's better to handle such dependencies outside of the main application logic, for example, by including instructions in the documentation on how to manually download these resources before running the script, or by using a setup script that prepares the environment. This approach improves the script's reliability and execution speed.
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Actionable comments posted: 3
Actionable comments outside the diff hunks (1)
Preprocessing.py (1)
Line range hint
3-3: Thepandaslibrary is imported but not used in the script.- import pandas as pdRemoving unused imports can help reduce the memory footprint and improve the clarity of the code.
| TWITTER_OAUTH_TOKEN = "123123123123" | ||
| TWITTER_OAUTH_SECRET = "1234567891234" | ||
| AWS_CREDENTIALS = { 'key': '123123123123', 'secret': '1234567891234' } |
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Storing sensitive credentials directly in the source code poses a significant security risk.
- TWITTER_OAUTH_TOKEN = "123123123123"
- TWITTER_OAUTH_SECRET = "1234567891234"
- AWS_CREDENTIALS = { 'key': '123123123123', 'secret': '1234567891234' }
+ # TODO: Replace hardcoded credentials with environment variables or secure vault solutionsConsider using environment variables or a secure credentials management service to handle sensitive information securely.
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.
| TWITTER_OAUTH_TOKEN = "123123123123" | |
| TWITTER_OAUTH_SECRET = "1234567891234" | |
| AWS_CREDENTIALS = { 'key': '123123123123', 'secret': '1234567891234' } | |
| # TODO: Replace hardcoded credentials with environment variables or secure vault solutions |
| TWITTER_OAUTH_TOKEN = "123123123123" | ||
| TWITTER_OAUTH_SECRET = "1234567891234" | ||
| AWS_CREDENTIALS = { 'key': '123123123123', 'secret': '1234567891234' } | ||
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Consider using a more efficient method for removing punctuation.
- for punctuation in string.punctuation:
- text = text.replace(punctuation, '').replace('“', '').replace('”', '').replace('’', '').replace('–', '').replace('•','').replace('‘','')
+ import re
+ def remove_punctuations(text):
+ """ remove punctuation from text using regex for better performance """
+ return re.sub(r'[^\w\s]', '', text)Using regular expressions can significantly improve the performance by reducing the number of replace operations.
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.
| import re | |
| def remove_punctuations(text): | |
| """ remove punctuation from text using regex for better performance """ | |
| return re.sub(r'[^\w\s]', '', text) |
Optimize the function by caching the stopwords list outside the list comprehension.
- tokens = [w for w in tokens if w not in stopwords.words("english")]
+ stop_words = set(stopwords.words("english"))
+ tokens = [w for w in tokens if w not in stop_words]This change reduces the overhead of repeatedly fetching and constructing the stopwords list for each token.
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.
| stop_words = set(stopwords.words("english")) | |
| tokens = [w for w in tokens if w not in stop_words] |
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