Update the demo #139
Update the demo #139
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Caution Review failedThe pull request is closed. WalkthroughA set of new GitHub Actions workflows has been introduced to automate the collection and transmission of statistics for the project Cognee and Twitter follower counts. These workflows, defined in Changes
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Actionable comments posted: 6
🧹 Outside diff range and nitpick comments (2)
.github/workflows/posthog_pipeline.yaml (1)
1-33: Overall, the workflow is well-structured but could benefit from some minor improvements.The workflow is functional and follows many GitHub Actions best practices. However, there are a few suggestions for improvement:
- Update the checkout action to v4.
- Specify a more precise Python version.
- Use a
requirements.txtfile for dependency management.- Remove the redundant
GITHUB_REPOSITORYenvironment variable.These changes will enhance the maintainability and consistency of the workflow.
To fully understand and validate this workflow, we need more information about the
push_to_posthog.pyscript:
- What specific GitHub data is being extracted?
- How is the data being processed before sending to PostHog?
- Are there any rate limits or data volume considerations to be aware of?
- How is error handling and logging implemented in the script?
Having this information would allow for a more comprehensive review of the entire data pipeline.
tools/push_to_posthogh.py (1)
1-67: Overall review summary and next stepsThis script provides a good foundation for extracting GitHub repository information and sending it to PostHog for analytics. However, there are several areas where it can be improved:
- Fix the typo in the filename (rename to
push_to_posthog.py).- Implement better error handling for missing environment variables.
- Improve the
get_repo_info()function to handle rate limiting and provide more detailed error information.- Enhance the
main()function with better error handling, dynamicdistinct_id, and safe dictionary access.- Consider using a
.envfile for local development.Next steps:
- Address the issues raised in the review comments.
- Add comprehensive error logging throughout the script.
- Implement unit tests to ensure the script functions correctly under various conditions.
- Consider adding command-line arguments for flexibility (e.g., to specify a different repository).
- Document the script's usage and requirements in a README file.
Once these improvements are made, the script will be more robust, maintainable, and easier to use.
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📒 Files selected for processing (2)
- .github/workflows/posthog_pipeline.yaml (1 hunks)
- tools/push_to_posthogh.py (1 hunks)
🔇 Additional comments not posted (4)
.github/workflows/posthog_pipeline.yaml (3)
1-6: LGTM: Workflow name and triggers are well-defined.The workflow name clearly describes its purpose, and the triggers (daily schedule and manual dispatch) are appropriate for this type of task.
8-10: LGTM: Job configuration is appropriate.The job name "push-data" is concise and descriptive. Running on the latest Ubuntu ensures up-to-date dependencies.
26-33: 🛠️ Refactor suggestionScript execution looks good, but consider a few improvements.
The script execution and environment variable setup are generally well-done, but there are a couple of points to consider:
The script path
tools/push_to_posthog.pyassumes a specific directory structure. Ensure this path is correct relative to the repository root.The
GITHUB_REPOSITORYenvironment variable is redundant as it's already available as a default GitHub Actions variable.Here's a suggested update:
- name: Run data extraction and push script env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} POSTHOG_API_KEY: ${{ secrets.POSTHOG_API_KEY }} POSTHOG_HOST: ${{ secrets.POSTHOG_HOST }} run: | python tools/push_to_posthog.pyTo ensure the script exists and the path is correct, you can run the following check:
This will verify the existence of the script in the expected location.
tools/push_to_posthogh.py (1)
66-67: LGTM: Correct script execution structure.The use of
if __name__ == "__main__":is the correct way to structure a Python script that can be both imported as a module and run directly. This allows for themain()function to be called only when the script is run directly, and not when it's imported as a module.
| - name: Checkout repository | ||
| uses: actions/checkout@v3 | ||
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| - name: Set up Python | ||
| uses: actions/setup-python@v4 | ||
| with: | ||
| python-version: '3.x' |
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🛠️ Refactor suggestion
Consider updating checkout action and specifying Python version.
While the current setup works, there are a couple of improvements that could be made:
- The
actions/checkoutaction could be updated to v4 for the latest features and bug fixes. - The Python version '3.x' is quite broad and might lead to inconsistent environments. Consider specifying a more precise version, e.g., '3.9' or '3.10'.
Here's a suggested update:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.10'| - name: Install dependencies | ||
| run: | | ||
| python -m pip install --upgrade pip | ||
| pip install requests posthog |
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🛠️ Refactor suggestion
Consider using a requirements.txt file for better dependency management.
While the current setup works, using a requirements.txt file would improve dependency management:
- It allows for version pinning, ensuring consistent environments.
- It makes it easier to manage dependencies as the project grows.
- It follows Python best practices for dependency management.
Here's a suggested update:
- Create a
requirements.txtfile in the root of your repository with the following content:
requests==2.31.0
posthog==3.0.1
- Update the workflow step:
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txtThis change will make your dependency management more robust and easier to maintain in the long run.
tools/push_to_posthogh.py
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| headers = { | ||
| "Authorization": f"token {GITHUB_TOKEN}", | ||
| "Accept": "application/vnd.github.v3+json" | ||
| } | ||
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| # Initialize PostHog client | ||
| posthog = Posthog( | ||
| api_key=POSTHOG_API_KEY, | ||
| host=POSTHOG_HOST | ||
| ) |
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Add error handling for missing environment variables.
It's important to handle cases where required environment variables are not set. This will prevent the script from failing silently or with unclear error messages.
Consider adding checks for required environment variables and raise an exception if they're missing. Here's an example implementation:
def get_env_var(var_name):
value = os.getenv(var_name)
if value is None:
raise ValueError(f"Environment variable {var_name} is not set")
return value
GITHUB_TOKEN = get_env_var('GITHUB_TOKEN')
REPO = get_env_var('GITHUB_REPOSITORY')
POSTHOG_API_KEY = get_env_var('POSTHOG_API_KEY')
POSTHOG_HOST = os.getenv('POSTHOG_HOST', 'https://app.posthog.com')This will raise a ValueError with a clear message if any required environment variable is missing.
tools/push_to_posthogh.py
Outdated
| def get_repo_info(): | ||
| url = f"https://api.github.com/repos/{REPO}" | ||
| response = requests.get(url, headers=headers) | ||
| if response.status_code == 200: | ||
| return response.json() | ||
| else: | ||
| print(f"Error fetching repo info: {response.status_code}") | ||
| return None |
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Improve error handling and add rate limit handling in get_repo_info().
While the current implementation handles basic errors, it could be improved to provide more detailed error information and handle rate limiting.
Consider implementing the following improvements:
- Return more detailed error information.
- Handle rate limiting by implementing exponential backoff.
- Use logging instead of print statements for better error tracking.
Here's an example implementation:
import time
import logging
def get_repo_info(retries=3, backoff_factor=2):
url = f"https://api.github.com/repos/{REPO}"
for attempt in range(retries):
response = requests.get(url, headers=headers)
if response.status_code == 200:
return response.json()
elif response.status_code == 403 and 'X-RateLimit-Remaining' in response.headers and int(response.headers['X-RateLimit-Remaining']) == 0:
reset_time = int(response.headers['X-RateLimit-Reset'])
sleep_time = max(reset_time - time.time(), 0) + 1
logging.warning(f"Rate limit exceeded. Sleeping for {sleep_time} seconds.")
time.sleep(sleep_time)
else:
logging.error(f"Error fetching repo info: {response.status_code} - {response.text}")
if attempt < retries - 1:
sleep_time = backoff_factor ** attempt
logging.info(f"Retrying in {sleep_time} seconds...")
time.sleep(sleep_time)
else:
return None
return NoneThis implementation adds exponential backoff for retries, handles rate limiting, and uses logging for better error tracking.
tools/push_to_posthogh.py
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| def main(): | ||
| repo_info = get_repo_info() | ||
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| if repo_info: | ||
| # Prepare data to send to PostHog | ||
| properties = { | ||
| 'repo_name': repo_info.get('full_name'), | ||
| 'stars': repo_info.get('stargazers_count'), | ||
| 'forks': repo_info.get('forks_count'), | ||
| 'open_issues': repo_info.get('open_issues_count'), | ||
| 'watchers': repo_info.get('subscribers_count'), | ||
| 'created_at': repo_info.get('created_at'), | ||
| 'updated_at': repo_info.get('updated_at'), | ||
| 'pushed_at': repo_info.get('pushed_at'), | ||
| 'language': repo_info.get('language'), | ||
| 'license': repo_info.get('license').get('name') if repo_info.get('license') else None, | ||
| 'topics': repo_info.get('topics') | ||
| } | ||
|
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| # Send event to PostHog | ||
| posthog.capture( | ||
| distinct_id='github_repo', # You can customize this identifier | ||
| event='GitHub Repo Stats', | ||
| properties=properties | ||
| ) | ||
|
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| print("Data sent to PostHog successfully.") | ||
| else: | ||
| print("Failed to retrieve repository information.") | ||
|
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||
| # Close PostHog client | ||
| posthog.shutdown() |
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Improve error handling, use a dynamic distinct_id, and safely access nested dictionary keys in the main() function.
The current implementation of the main() function could be improved in several ways:
- Add error handling for the PostHog capture operation.
- Use a dynamic
distinct_idinstead of a static one. - Safely access nested dictionary keys to prevent potential KeyError exceptions.
- Consider using a context manager for the PostHog client to ensure proper shutdown.
Here's an example of how you could implement these improvements:
from contextlib import contextmanager
@contextmanager
def posthog_client():
client = Posthog(api_key=POSTHOG_API_KEY, host=POSTHOG_HOST)
try:
yield client
finally:
client.shutdown()
def safe_get(dict_obj, *keys):
for key in keys:
if isinstance(dict_obj, dict) and key in dict_obj:
dict_obj = dict_obj[key]
else:
return None
return dict_obj
def main():
repo_info = get_repo_info()
if repo_info:
# Prepare data to send to PostHog
properties = {
'repo_name': repo_info.get('full_name'),
'stars': repo_info.get('stargazers_count'),
'forks': repo_info.get('forks_count'),
'open_issues': repo_info.get('open_issues_count'),
'watchers': repo_info.get('subscribers_count'),
'created_at': repo_info.get('created_at'),
'updated_at': repo_info.get('updated_at'),
'pushed_at': repo_info.get('pushed_at'),
'language': repo_info.get('language'),
'license': safe_get(repo_info, 'license', 'name'),
'topics': repo_info.get('topics')
}
with posthog_client() as posthog:
try:
posthog.capture(
distinct_id=f"github_repo_{repo_info.get('id')}", # Dynamic distinct_id
event='GitHub Repo Stats',
properties=properties
)
print("Data sent to PostHog successfully.")
except Exception as e:
print(f"Failed to send data to PostHog: {str(e)}")
else:
print("Failed to retrieve repository information.")These changes improve error handling, use a dynamic distinct_id, safely access nested dictionary keys, and ensure proper shutdown of the PostHog client.
tools/push_to_posthogh.py
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| # extract_and_push_github_data.py | ||
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| import requests | ||
| import os | ||
| from posthog import Posthog | ||
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| # Get environment variables | ||
| GITHUB_TOKEN = os.getenv('GITHUB_TOKEN') | ||
| REPO = os.getenv('GITHUB_REPOSITORY') | ||
| POSTHOG_API_KEY = os.getenv('POSTHOG_API_KEY') # Your PostHog Project API Key | ||
| POSTHOG_HOST = os.getenv('POSTHOG_HOST', 'https://app.posthog.com') # Default PostHog Cloud |
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Fix typo in filename and consider using a .env file for local development.
There's a typo in the filename: "posthogh" should be "posthog". Please rename the file to tools/push_to_posthog.py.
Additionally, consider using a .env file for local development to manage environment variables more easily. This can be done using the python-dotenv library.
Apply this diff to add support for .env files:
import requests
import os
from posthog import Posthog
+from dotenv import load_dotenv
+
+# Load environment variables from .env file (if it exists)
+load_dotenv()
# Get environment variables
GITHUB_TOKEN = os.getenv('GITHUB_TOKEN')Don't forget to add python-dotenv to your project's dependencies.
Committable suggestion was skipped due to low confidence.
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (2)
tools/push_to_posthog.py (2)
1-11: LGTM! Consider using a .env file for local development.The imports and environment variable retrieval look good. Using environment variables for sensitive information is a best practice. For local development, consider using a
.envfile with a library likepython-dotenvto manage these variables more easily.You could add the following at the beginning of the script:
from dotenv import load_dotenv load_dotenv() # This will load variables from a .env file if it existsThis change would make it easier to manage environment variables during local development while still using os.getenv() for production.
1-69: Overall assessment: Good implementation with room for improvementThe script successfully implements the core functionality of extracting GitHub repository data and sending it to PostHog. Here's a summary of the main points for improvement:
- Error handling: Add checks for required environment variables and improve error handling in API calls and data processing.
- Exception management: Implement try-except blocks to catch and handle potential exceptions, especially in network calls and data processing.
- Logging: Replace print statements with proper logging for better integration with other systems and easier debugging.
- Data processing: Use safer methods for accessing nested dictionary items to prevent potential KeyError exceptions.
- PostHog integration: Consider using a more unique identifier for the distinct_id in PostHog events.
Implementing these suggestions will significantly improve the robustness and reliability of the script. Great job on the initial implementation!
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📒 Files selected for processing (2)
- .github/workflows/posthog_pipeline.yaml (1 hunks)
- tools/push_to_posthog.py (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- .github/workflows/posthog_pipeline.yaml
🔇 Additional comments not posted (1)
tools/push_to_posthog.py (1)
68-69: LGTM! Good use of the main script idiom.The use of
if __name__ == "__main__":is a good practice. It allows the script to be imported as a module without executing the main function, while still allowing it to be run as a standalone script.
| headers = { | ||
| "Authorization": f"token {GITHUB_TOKEN}", | ||
| "Accept": "application/vnd.github.v3+json" | ||
| } | ||
|
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||
| # Initialize PostHog client | ||
| posthog = Posthog( | ||
| api_key=POSTHOG_API_KEY, | ||
| host=POSTHOG_HOST | ||
| ) |
There was a problem hiding this comment.
Add error handling for missing environment variables.
The API client initialization looks good, but there's no error handling for missing environment variables. This could lead to runtime errors if the script is run without all required variables set.
Consider adding checks for required environment variables and provide meaningful error messages. For example:
def check_env_variables():
required_vars = ['GITHUB_TOKEN', 'GITHUB_REPOSITORY', 'POSTHOG_API_KEY']
missing_vars = [var for var in required_vars if not os.getenv(var)]
if missing_vars:
raise EnvironmentError(f"Missing required environment variables: {', '.join(missing_vars)}")
check_env_variables()Add this function and call it before initializing the clients to ensure all required variables are present.
| def get_repo_info(): | ||
| url = f"https://api.github.com/repos/{REPO}" | ||
| response = requests.get(url, headers=headers) | ||
| if response.status_code == 200: | ||
| return response.json() | ||
| else: | ||
| print(f"Error fetching repo info: {response.status_code}") | ||
| return None |
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Enhance error handling and add exception management in get_repo_info function.
While the basic functionality is correct, the error handling and exception management can be improved to make the function more robust and informative.
Consider the following improvements:
- Add exception handling for network-related issues.
- Provide more detailed error information, including the response content for non-200 status codes.
- Use logging instead of print statements for better integration with other systems.
Here's an example of how you could refactor the function:
import logging
def get_repo_info():
url = f"https://api.github.com/repos/{REPO}"
try:
response = requests.get(url, headers=headers)
response.raise_for_status() # Raises an HTTPError for bad responses
return response.json()
except requests.exceptions.HTTPError as http_err:
logging.error(f"HTTP error occurred: {http_err}")
logging.error(f"Response content: {response.text}")
except requests.exceptions.RequestException as req_err:
logging.error(f"Error fetching repo info: {req_err}")
return NoneThis version handles both HTTP errors and general request exceptions, providing more detailed logging information.
tools/push_to_posthog.py
Outdated
| def main(): | ||
| repo_info = get_repo_info() | ||
|
|
||
| if repo_info: | ||
| # Prepare data to send to PostHog | ||
| properties = { | ||
| 'repo_name': repo_info.get('full_name'), | ||
| 'stars': repo_info.get('stargazers_count'), | ||
| 'forks': repo_info.get('forks_count'), | ||
| 'open_issues': repo_info.get('open_issues_count'), | ||
| 'watchers': repo_info.get('subscribers_count'), | ||
| 'created_at': repo_info.get('created_at'), | ||
| 'updated_at': repo_info.get('updated_at'), | ||
| 'pushed_at': repo_info.get('pushed_at'), | ||
| 'language': repo_info.get('language'), | ||
| 'license': repo_info.get('license').get('name') if repo_info.get('license') else None, | ||
| 'topics': repo_info.get('topics') | ||
| } | ||
|
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| print("Repository information: ", properties) | ||
|
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| # Send event to PostHog | ||
| posthog.capture( | ||
| distinct_id='github_repo', # You can customize this identifier | ||
| event='GitHub Repo Stats', | ||
| properties=properties | ||
| ) | ||
|
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| print("Data sent to PostHog successfully.") | ||
| else: | ||
| print("Failed to retrieve repository information.") | ||
|
|
||
| # Close PostHog client | ||
| posthog.shutdown() |
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Improve data handling and error management in the main function.
While the main function correctly processes and sends data to PostHog, there are several areas for improvement:
- Nested dictionary access without checks
- Static distinct_id for PostHog
- Lack of error handling for PostHog capture call
Here are the suggested improvements:
- Use the .get() method with a default value for nested dictionary access:
'license': repo_info.get('license', {}).get('name')- Consider using a more unique identifier for distinct_id:
distinct_id=f"github_repo_{repo_info['id']}"- Add error handling for the PostHog capture call:
try:
posthog.capture(
distinct_id=f"github_repo_{repo_info['id']}",
event='GitHub Repo Stats',
properties=properties
)
print("Data sent to PostHog successfully.")
except Exception as e:
print(f"Failed to send data to PostHog: {e}")These changes will make the function more robust and less prone to runtime errors.
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Actionable comments posted: 18
🧹 Outside diff range and nitpick comments (11)
.github/workflows/historical_pypi_download_stats.yaml (2)
11-17: Consider updating the checkout action to v4.The checkout action is using version 3, while version 4 is available. It's generally recommended to use the latest versions of actions for improved features and security updates.
The Python setup looks good, using the latest action version and allowing for the latest 3.x Python version.
Consider updating the checkout action:
- uses: actions/checkout@v3 + uses: actions/checkout@v4
23-29: LGTM: Good use of secrets. Consider parameterizing the script location.The use of secrets for the PostHog API key and host is a good security practice. The script execution step is clear and matches the workflow's purpose.
To improve flexibility, consider parameterizing the script location:
- name: Run Historical Import Script env: POSTHOG_API_KEY: ${{ secrets.POSTHOG_API_KEY }} POSTHOG_API_HOST: ${{ secrets.POSTHOG_API_HOST }} + SCRIPT_DIR: tools + SCRIPT_NAME: historical_import_cognee_stats.py run: | - cd tools # Change to the 'tools' directory - python historical_import_cognee_stats.py + cd $SCRIPT_DIR + python $SCRIPT_NAMEThis change allows easier updates if the script location or name changes in the future.
.github/workflows/daily_twitter_stats.yaml (3)
13-19: Consider specifying a more precise Python version.While using '3.x' for the Python version allows for the latest 3.x version, it might lead to unexpected behavior if there are breaking changes in minor versions. Consider specifying a more precise version (e.g., '3.9' or '3.10') to ensure consistency across different runs and environments.
You can update the Python version specification as follows:
- name: Set up Python uses: actions/setup-python@v4 with: - python-version: '3.x' + python-version: '3.10' # or another specific version you prefer
25-35: Good use of secrets, but consider adding error handling and logging.The use of GitHub secrets for sensitive information is a good security practice. However, there are a few improvements that could be made:
- Error handling: Add some basic error handling to catch and report any issues that might occur during script execution.
- Logging: Implement logging to track the execution progress and any potential issues.
- Script existence check: Verify that the script exists before attempting to run it.
Consider updating the step as follows:
- name: Send Twitter Followers to Segment env: TWITTER_API_KEY: ${{ secrets.TWITTER_API_KEY }} TWITTER_API_SECRET: ${{ secrets.TWITTER_API_SECRET }} TWITTER_ACCESS_TOKEN: ${{ secrets.TWITTER_ACCESS_TOKEN }} TWITTER_ACCESS_SECRET: ${{ secrets.TWITTER_ACCESS_SECRET }} SEGMENT_WRITE_KEY: ${{ secrets.SEGMENT_WRITE_KEY }} TWITTER_USERNAME: ${{ secrets.TWITTER_USERNAME }} run: | cd tools if [ ! -f daily_twitter_stats.py ]; then echo "Error: daily_twitter_stats.py not found" exit 1 fi python daily_twitter_stats.py || { echo "Error: Failed to execute daily_twitter_stats.py" exit 1 }This update adds a check for the script's existence and basic error handling. For more comprehensive logging, consider modifying the Python script itself to include logging statements.
1-36: Overall, the workflow is well-structured with room for minor improvements.This GitHub Actions workflow for sending Twitter followers to Segment is generally well-designed. It follows good practices such as using GitHub secrets for sensitive information and has a clear structure. However, there are a few areas where it could be improved:
- Specify a more precise Python version for consistency.
- Use a requirements.txt file to manage dependencies with specific versions.
- Implement error handling and logging in the execution step.
These changes will enhance the reliability and maintainability of the workflow. Great job on setting up this automated process!
tools/historical_import_cognee_stats.py (1)
27-39: Add a comment explaining the exclusion of recent data.While excluding today and yesterday's data might be intentional, it's not immediately clear why this is done. Adding a brief comment explaining the rationale would improve code readability and maintainability.
Consider adding a comment like this:
# Exclude today and yesterday's data to ensure we only process complete daily statistics # PyPI might not have complete data for the current day and the previous dayThis helps future maintainers understand the reasoning behind this decision.
tools/daily_pypi_downloads.py (1)
1-77: Overall assessment: Good implementation with room for improvementThe script successfully fetches PyPI download statistics for the 'cognee' package and sends them to PostHog. It uses good practices like environment variables for configuration and a state file to track progress. However, there are several areas where the script can be improved:
- Error handling for missing environment variables
- More flexible approach for the default date when no state file exists
- Addition of logging for better monitoring
- Implementation of a retry mechanism for API requests
- Error handling for PostHog event sending
- Error handling for state file updates
Additionally, consider adding docstrings and comments to explain the purpose of the script and its main components. This will improve maintainability and make it easier for other developers to understand and modify the code if needed.
tools/daily_twitter_stats.py (4)
27-29: Use the logging module instead of print statements for error messagesUsing the
loggingmodule provides better control over log levels and destinations compared toApply this diff to implement logging:
+import logging + +logging.basicConfig(level=logging.INFO) + def get_follower_count(username): + logger = logging.getLogger(__name__) try: user = twitter_api.get_user(screen_name=username) return user.followers_count except tweepy.TweepError as e: - print(f'Error fetching follower count: {e}') + logger.error(f'Error fetching follower count: {e}') return None
33-33: Use UTC time for consistency across time zonesUsing UTC time helps avoid issues related to time zone differences and ensures consistency across different systems.
Apply this diff to use UTC time:
-def send_data_to_segment(username, follower_count): - current_time = datetime.now().isoformat() +def send_data_to_segment(username, follower_count): + current_time = datetime.utcnow().isoformat() + 'Z'
62-66: Add a main guard to allow safe importsTo prevent the script from executing when imported as a module, it's good practice to wrap execution code within a
if __name__ == '__main__':block.Apply this diff to add the main guard:
-follower_count = get_follower_count(USERNAME) -if follower_count is not None: - send_data_to_segment(USERNAME, follower_count) -else: - print('Failed to retrieve follower count.') +if __name__ == '__main__': + follower_count = get_follower_count(USERNAME) + if follower_count is not None: + send_data_to_segment(USERNAME, follower_count) + else: + print('Failed to retrieve follower count.')
23-30: Add docstrings to functions for better maintainabilityIncluding docstrings in your functions improves code readability and provides clear documentation of their purpose, parameters, and return values.
Apply this diff to add docstrings:
def get_follower_count(username): + """Retrieve the follower count for a given Twitter username. + Args: + username (str): The Twitter username. + + Returns: + int or None: The follower count, or None if an error occurred. + """ try: ... def send_data_to_segment(username, follower_count): + """Send follower count data to Segment. + Args: + username (str): The Twitter username. + follower_count (int): The number of followers. + """ ...Also applies to: 32-60
📜 Review details
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📒 Files selected for processing (8)
- .github/workflows/daily_pypi_download_stats.yaml (1 hunks)
- .github/workflows/daily_twitter_stats.yaml (1 hunks)
- .github/workflows/historical_pypi_download_stats.yaml (1 hunks)
- .github/workflows/posthog_pipeline.yaml (1 hunks)
- tools/daily_pypi_downloads.py (1 hunks)
- tools/daily_twitter_stats.py (1 hunks)
- tools/historical_import_cognee_stats.py (1 hunks)
- tools/push_to_posthog.py (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- .github/workflows/posthog_pipeline.yaml
- tools/push_to_posthog.py
🔇 Additional comments (9)
.github/workflows/historical_pypi_download_stats.yaml (3)
1-4: LGTM: Workflow name and trigger are appropriate.The workflow name clearly describes its purpose, and the manual trigger (
workflow_dispatch) is suitable for a task that doesn't need to run automatically on every code change.
6-8: LGTM: Job setup is well-defined.The job name
import_statsis concise and descriptive. Running on the latest Ubuntu version (ubuntu-latest) is a good practice for security and performance.
1-29: Overall, the workflow is well-designed and fit for purpose.This new GitHub Actions workflow for historical import of Cognee stats is well-structured and follows good practices. It uses secrets appropriately, sets up the environment correctly, and executes the import script as intended.
A few minor improvements were suggested:
- Updating the checkout action to v4
- Pinning dependency versions for reproducibility
- Parameterizing the script location for flexibility
These changes would further enhance the maintainability and reliability of the workflow.
.github/workflows/daily_twitter_stats.yaml (2)
1-6: LGTM: Workflow name and triggers are well-defined.The workflow name accurately describes its purpose, and the triggers are appropriately set. The daily schedule at midnight UTC is suitable for collecting daily stats, and the manual trigger provides flexibility for testing or ad-hoc runs.
8-10: LGTM: Job definition and runner are appropriate.The job name 'send-followers' is clear and descriptive. Using 'ubuntu-latest' as the runner ensures the job will use the most recent stable Ubuntu version, which is a good practice for maintaining compatibility and security.
.github/workflows/daily_pypi_download_stats.yaml (3)
1-5: LGTM: Workflow name and trigger are well-defined.The workflow name "Update Cognee Stats Daily" is descriptive and accurately reflects its purpose. The cron schedule is appropriately set to run daily at 01:00 UTC, which is suitable for a daily update task.
7-10: LGTM: Job setup is appropriate.The job name "update_stats" is concise and descriptive. Running on ubuntu-latest is a good practice as it ensures the job uses the most recent stable Ubuntu version.
1-36: Overall, the workflow is well-structured with room for minor improvements.The GitHub Actions workflow for updating Cognee stats daily is generally well-designed and should function as intended. It follows good practices such as using secrets for API credentials and has a clear, descriptive name and job structure.
To further improve the workflow, consider implementing the suggestions provided in the previous comments:
- Update the checkout action to v4 and specify a more precise Python version.
- Pin dependency versions for consistency.
- Simplify the script execution step by removing debug commands.
- Verify the existence of the 'daily_pypi_downloads.py' script.
These refinements will enhance the robustness and maintainability of the workflow.
tools/daily_pypi_downloads.py (1)
58-62: LGTM: PostHog event preparation looks goodThe creation of unique message_id and distinct_id for the PostHog event is well implemented. The use of UUID ensures uniqueness, and the message_id format is clear and informative.
| - name: Install Dependencies | ||
| run: | | ||
| pip install requests posthog |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider pinning package versions for reproducibility.
While the current setup installs the necessary packages, it doesn't specify their versions. This could potentially lead to inconsistencies or breaking changes if a package receives a major update.
Consider updating the dependency installation step to pin specific versions:
- name: Install Dependencies
run: |
- pip install requests posthog
+ pip install requests==2.31.0 posthog==3.0.1Replace 2.31.0 and 3.0.1 with the desired versions of requests and posthog respectively. This ensures reproducibility and prevents unexpected issues from package updates.
📝 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.
| - name: Install Dependencies | |
| run: | | |
| pip install requests posthog | |
| - name: Install Dependencies | |
| run: | | |
| pip install requests==2.31.0 posthog==3.0.1 |
| - name: Install dependencies | ||
| run: | | ||
| pip install tweepy requests |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Recommend using a requirements.txt file with specific package versions.
While the current approach works, it's generally better to manage dependencies using a requirements.txt file. This allows for better version control and ensures consistency across different environments. Additionally, specifying package versions can prevent issues caused by unexpected updates.
Consider the following changes:
- Create a
requirements.txtfile in your repository with the following content:
tweepy==4.14.0
requests==2.31.0
- Update the workflow step as follows:
- name: Install dependencies
run: |
- pip install tweepy requests
+ pip install -r requirements.txtThis approach will ensure that specific versions of the packages are installed, maintaining consistency across different runs and environments.
Committable suggestion was skipped due to low confidence.
| - name: Checkout Repository | ||
| uses: actions/checkout@v3 | ||
| with: | ||
| persist-credentials: false | ||
|
|
||
| - name: Set up Python | ||
| uses: actions/setup-python@v4 | ||
| with: | ||
| python-version: '3.x' |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider updating checkout action and specifying Python version more precisely.
While the setup is generally good, there are two points to consider:
-
The
actions/checkoutaction is using version 3, but version 4 is available. Consider updating to the latest version for potential improvements and bug fixes. -
The Python version is set to '3.x', which might lead to unexpected behavior if a new major Python 3 version is released. It's generally better to specify a more precise version or version range.
Consider applying these changes:
- uses: actions/checkout@v3
+ uses: actions/checkout@v4
- python-version: '3.x'
+ python-version: '3.10'Replace '3.10' with the specific Python version your project requires.
📝 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.
| - name: Checkout Repository | |
| uses: actions/checkout@v3 | |
| with: | |
| persist-credentials: false | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.x' | |
| - name: Checkout Repository | |
| uses: actions/checkout@v4 | |
| with: | |
| persist-credentials: false | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.10' |
| - name: Install Dependencies | ||
| run: | | ||
| pip install requests posthog |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider pinning dependency versions for consistency.
While the dependency installation step is straightforward, it doesn't specify package versions. This could potentially lead to inconsistencies if package APIs change in future versions.
Consider pinning the versions of the installed packages:
- pip install requests posthog
+ pip install requests==2.31.0 posthog==3.0.1Replace '2.31.0' and '3.0.1' with the specific versions your project requires. This ensures reproducibility and prevents unexpected issues due to package updates.
Committable suggestion was skipped due to low confidence.
| - name: Run Update Script | ||
| env: | ||
| POSTHOG_API_KEY: ${{ secrets.POSTHOG_API_KEY }} | ||
| POSTHOG_API_HOST: ${{ secrets.POSTHOG_API_HOST }} | ||
| run: | | ||
| cd tools # Change to the 'tools' directory | ||
| echo "Current working directory after changing to tools:" | ||
| pwd # Print the working directory again | ||
| echo "List of folders in the tools directory:" | ||
| ls -la # List all files and folders in the 'tools' directory | ||
| python daily_pypi_downloads.py # Run the script |
There was a problem hiding this comment.
💡 Codebase verification
🛠️ Refactor suggestion
Remove lingering debug commands from the workflow file
The debug steps (echo "Current working directory after changing to tools:", pwd, ls -la) are still present in .github/workflows/daily_pypi_download_stats.yaml. These should be removed to streamline the workflow and eliminate unnecessary output.
.github/workflows/daily_pypi_download_stats.yaml: Lines 32-35 contain debug commands.
🔗 Analysis chain
Verify script existence and consider removing debug steps.
The script execution step has good practices like using secrets for API credentials. However, there are a few points to consider:
-
The debug steps (printing working directory and listing contents) are typically not needed in a production workflow.
-
The existence of the 'daily_pypi_downloads.py' script in the 'tools' directory is assumed but not verified.
Consider simplifying the run step:
- name: Run Update Script
env:
POSTHOG_API_KEY: ${{ secrets.POSTHOG_API_KEY }}
POSTHOG_API_HOST: ${{ secrets.POSTHOG_API_HOST }}
run: |
cd tools
- echo "Current working directory after changing to tools:"
- pwd
- echo "List of folders in the tools directory:"
- ls -la
python daily_pypi_downloads.pyLet's verify the existence of the script:
This script will check if the 'daily_pypi_downloads.py' file exists in the 'tools' directory and provide appropriate output.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Verify the existence of the daily_pypi_downloads.py script
if [ -f "tools/daily_pypi_downloads.py" ]; then
echo "The script daily_pypi_downloads.py exists in the tools directory."
else
echo "Error: The script daily_pypi_downloads.py does not exist in the tools directory."
exit 1
fi
Length of output: 183
Script:
#!/bin/bash
# Verify if debug steps have been removed from daily_pypi_download_stats.yaml
DEBUG_COMMANDS=("echo \"Current working directory after changing to tools:\"" "pwd" "ls -la")
FILE=".github/workflows/daily_pypi_download_stats.yaml"
for cmd in "${DEBUG_COMMANDS[@]}"; do
if grep -q "$cmd" "$FILE"; then
echo "Debug command found: $cmd"
else
echo "Debug command not found: $cmd"
fi
done
Length of output: 800
| POSTHOG_API_KEY = os.getenv('POSTHOG_API_KEY') | ||
| POSTHOG_API_HOST = 'https://eu.i.posthog.com' |
There was a problem hiding this comment.
Add error handling for environment variables
While using environment variables for the PostHog API key is a good practice, there's no error handling if the environment variable is not set. Consider adding a check and appropriate error message.
Here's a suggested improvement:
-POSTHOG_API_KEY = os.getenv('POSTHOG_API_KEY')
+POSTHOG_API_KEY = os.getenv('POSTHOG_API_KEY')
+if not POSTHOG_API_KEY:
+ raise ValueError("POSTHOG_API_KEY environment variable is not set")📝 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.
| POSTHOG_API_KEY = os.getenv('POSTHOG_API_KEY') | |
| POSTHOG_API_HOST = 'https://eu.i.posthog.com' | |
| POSTHOG_API_KEY = os.getenv('POSTHOG_API_KEY') | |
| if not POSTHOG_API_KEY: | |
| raise ValueError("POSTHOG_API_KEY environment variable is not set") | |
| POSTHOG_API_HOST = 'https://eu.i.posthog.com' |
| response = requests.get(url) | ||
| if response.status_code != 200: | ||
| print(f"Failed to fetch data: {response.status_code}") | ||
| exit(1) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve API request handling with retries and better error reporting
The current implementation doesn't handle transient network issues, and error messages are printed to stdout. Consider adding a retry mechanism and using logging for error messages.
Here's a suggested improvement:
+from requests.adapters import HTTPAdapter
+from requests.packages.urllib3.util.retry import Retry
+
+def requests_retry_session(
+ retries=3,
+ backoff_factor=0.3,
+ status_forcelist=(500, 502, 504),
+ session=None,
+):
+ session = session or requests.Session()
+ retry = Retry(
+ total=retries,
+ read=retries,
+ connect=retries,
+ backoff_factor=backoff_factor,
+ status_forcelist=status_forcelist,
+ )
+ adapter = HTTPAdapter(max_retries=retry)
+ session.mount('http://', adapter)
+ session.mount('https://', adapter)
+ return session
+
-response = requests.get(url)
+response = requests_retry_session().get(url)
if response.status_code != 200:
- print(f"Failed to fetch data: {response.status_code}")
+ logging.error(f"Failed to fetch data: {response.status_code}")
exit(1)Committable suggestion was skipped due to low confidence.
| except tweepy.TweepError as e: | ||
| print(f'Error fetching follower count: {e}') | ||
| return None |
There was a problem hiding this comment.
Avoid printing potentially sensitive exception details
Directly printing exception details can expose sensitive information. It's safer to log these exceptions without revealing internal details.
Apply this diff to handle exceptions securely:
def get_follower_count(username):
try:
user = twitter_api.get_user(screen_name=username)
return user.followers_count
except tweepy.TweepError as e:
- print(f'Error fetching follower count: {e}')
+ logger.error('Error fetching follower count.')
return None
...
def send_data_to_segment(username, follower_count):
...
except requests.exceptions.RequestException as e:
- print(f'Error sending data to Segment: {e}')
+ logger.error('Error sending data to Segment.')Also applies to: 59-59
| 'Content-Type': 'application/json', | ||
| 'Authorization': f'Basic {SEGMENT_WRITE_KEY.encode("utf-8").decode("utf-8")}' | ||
| } |
There was a problem hiding this comment.
Correct the Authorization header for Segment API
The current Authorization header may not be properly formatted. For Basic Authentication, the header should include the base64-encoded credentials in the format 'username:password'. Since the Segment Write Key acts as the username with an empty password, you need to base64-encode the write key followed by a colon.
Apply this diff to fix the Authorization header:
+import base64
+
headers = {
'Content-Type': 'application/json',
- 'Authorization': f'Basic {SEGMENT_WRITE_KEY.encode("utf-8").decode("utf-8")}'
+ 'Authorization': f'Basic {base64.b64encode(f"{SEGMENT_WRITE_KEY}:".encode()).decode()}'
}📝 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.
| 'Content-Type': 'application/json', | |
| 'Authorization': f'Basic {SEGMENT_WRITE_KEY.encode("utf-8").decode("utf-8")}' | |
| } | |
| import base64 | |
| headers = { | |
| 'Content-Type': 'application/json', | |
| 'Authorization': f'Basic {base64.b64encode(f"{SEGMENT_WRITE_KEY}:".encode()).decode()}' | |
| } |
| API_KEY = '${{ secrets.TWITTER_API_KEY }}' | ||
| API_SECRET = '${{ secrets.TWITTER_API_SECRET }}' | ||
| ACCESS_TOKEN = '${{ secrets.TWITTER_ACCESS_TOKEN }}' | ||
| ACCESS_SECRET = '${{ secrets.TWITTER_ACCESS_SECRET }}' | ||
| USERNAME = '${{ secrets.TWITTER_USERNAME }}' | ||
| SEGMENT_WRITE_KEY = '${{ secrets.SEGMENT_WRITE_KEY }}' |
There was a problem hiding this comment.
Revise how secrets are retrieved in the script
The current method of assigning secrets using placeholders like ${{ secrets.TWITTER_API_KEY }} will not work in Python scripts. These placeholders are specific to GitHub Actions workflows and won't be automatically replaced in your script. To securely access secrets, you should retrieve them from environment variables.
Apply this diff to fix the issue:
+import os
+
# Twitter API credentials from GitHub Secrets
-API_KEY = '${{ secrets.TWITTER_API_KEY }}'
-API_SECRET = '${{ secrets.TWITTER_API_SECRET }}'
-ACCESS_TOKEN = '${{ secrets.TWITTER_ACCESS_TOKEN }}'
-ACCESS_SECRET = '${{ secrets.TWITTER_ACCESS_SECRET }}'
-USERNAME = '${{ secrets.TWITTER_USERNAME }}'
-SEGMENT_WRITE_KEY = '${{ secrets.SEGMENT_WRITE_KEY }}'
+API_KEY = os.environ.get('TWITTER_API_KEY')
+API_SECRET = os.environ.get('TWITTER_API_SECRET')
+ACCESS_TOKEN = os.environ.get('TWITTER_ACCESS_TOKEN')
+ACCESS_SECRET = os.environ.get('TWITTER_ACCESS_SECRET')
+USERNAME = os.environ.get('TWITTER_USERNAME')
+SEGMENT_WRITE_KEY = os.environ.get('SEGMENT_WRITE_KEY')📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| API_KEY = '${{ secrets.TWITTER_API_KEY }}' | |
| API_SECRET = '${{ secrets.TWITTER_API_SECRET }}' | |
| ACCESS_TOKEN = '${{ secrets.TWITTER_ACCESS_TOKEN }}' | |
| ACCESS_SECRET = '${{ secrets.TWITTER_ACCESS_SECRET }}' | |
| USERNAME = '${{ secrets.TWITTER_USERNAME }}' | |
| SEGMENT_WRITE_KEY = '${{ secrets.SEGMENT_WRITE_KEY }}' | |
| import os | |
| # Twitter API credentials from GitHub Secrets | |
| API_KEY = os.environ.get('TWITTER_API_KEY') | |
| API_SECRET = os.environ.get('TWITTER_API_SECRET') | |
| ACCESS_TOKEN = os.environ.get('TWITTER_ACCESS_TOKEN') | |
| ACCESS_SECRET = os.environ.get('TWITTER_ACCESS_SECRET') | |
| USERNAME = os.environ.get('TWITTER_USERNAME') | |
| SEGMENT_WRITE_KEY = os.environ.get('SEGMENT_WRITE_KEY') |
There was a problem hiding this comment.
Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (3)
.github/workflows/release_discord_action.yml (3)
1-1: LGTM! Consider standardizing workflow naming conventions.The addition of the "automation |" prefix to the workflow name is a good way to categorize different types of workflows. This change improves clarity without affecting functionality.
For consistency, consider reviewing other workflow files in the repository and applying similar prefixes if appropriate. This will help maintain a standardized naming convention across all workflows.
Line range hint
15-15: Consider checking for updates to the github-releases-to-discord action.The workflow is currently using version 1.15.0 of the SethCohen/github-releases-to-discord action. While using a specific version is good for stability, it's worth periodically checking for updates to benefit from new features, performance improvements, or bug fixes.
You may want to check the GitHub repository for this action to see if there are any newer versions available. If a newer version is compatible with your usage, consider updating the version number.
Line range hint
19-22: Consider using a variable for repeated icon URLs.The
avatar_urlandfooter_icon_urlare using the same hardcoded URL. To improve maintainability, consider using a GitHub Actions variable for this repeated value.You can define a variable at the beginning of your workflow and use it like this:
env: ICON_URL: "https://cdn.discordapp.com/avatars/487431320314576937/bd64361e4ba6313d561d54e78c9e7171.png" # ... (rest of the workflow) - name: Github Releases To Discord uses: SethCohen/[email protected] with: # ... (other parameters) avatar_url: ${{ env.ICON_URL }} # ... (other parameters) footer_icon_url: ${{ env.ICON_URL }}This approach makes it easier to update the URL in the future if needed.
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📒 Files selected for processing (5)
- .github/workflows/daily_pypi_download_stats.yaml (1 hunks)
- .github/workflows/daily_twitter_stats.yaml (1 hunks)
- .github/workflows/historical_pypi_download_stats.yaml (1 hunks)
- .github/workflows/posthog_pipeline.yaml (1 hunks)
- .github/workflows/release_discord_action.yml (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (4)
- .github/workflows/daily_pypi_download_stats.yaml
- .github/workflows/daily_twitter_stats.yaml
- .github/workflows/historical_pypi_download_stats.yaml
- .github/workflows/posthog_pipeline.yaml
Summary by CodeRabbit
New Features
Bug Fixes