Build Fast with Confidence using Codiumate

Here is a detailed explantion of sherlock in sherlock.py:

The sherlock function is used to check for the existence of a username on various social media sites. It takes in the username, site data, query notify object, and optional parameters such as tor, unique_tor, proxy, and timeout. It creates … Finally, it returns a dictionary containing the results from the analysis of all sites.

Inputs

• username (string): The username to check for existence on social media sites.
• site_data (dictionary): A dictionary containing all the site data, including URLs and request information for each site.
• …

Flow

1. 1. Notify the caller that the query is starting.
2. 2. Create a session based on the request methodology (Tor or normal requests).
3. 3. Determine the maximum number of workers for the multi-threaded session.
4. …

Outputs

A dictionary containing the results from the analysis of all social media sites. The key of the dictionary is the name of the social network site, and the value is another dictionary with the following keys:

• url_main: URL of the main site.
• url_user: URL of the user on the site (if the account exists).
• …

Usage example

# Import necessary modules and classes
import csv
import signal
...
# Define the site data dictionary
site_data = {"site1": {...}, "site2": {...}}
# Create a query notify object
query_notify = QueryNotifyPrint()
# Call the sherlock function with the username, site data, and query notify object
results = sherlock("myusername", site_data, query_notify)
# Print the results
for site, data in results. Items

PR Analysis

🎯 Main theme: This PR primarily focuses on updating the Python version used in the project, updating the GitHub actions, and making changes to the list of supported sites.

🏷️ PR labels: Enhancement

📝 PR summary: The PR updates the Python version used in the project to 3.11 and updates the GitHub actions to use the latest versions of actions/checkout and actions/setup-python. It also changes the linting tool from flake8 to ruff. Additionally, it updates the list of supported sites, removing some and adding others.

🧪 Relevant tests added: No

⏱️ Estimated effort to review [1-5]: 3, because the PR involves changes to multiple files and workflows, which requires a good understanding of the project structure and the GitHub actions used. However, the changes themselves are straightforward and do not introduce complex logic.

PR Feedback

💡 General suggestions: The changes to the Python version and the GitHub actions seem appropriate and up-to-date. However, it would be helpful to provide more context or reasoning for the change from flake8 to ruff for linting. Also, the changes to the list of supported sites should be clearly documented, explaining why some sites were removed and others were added.

🔒 Security concerns: No

🏅 PR Score: 85

# correctly identifies available usernames
    def test_correctly_identifies_available_usernames(self):
        username = "john_doe"
        site_data = {
            "Twitter": {
                "url": "https://twitter.com/{}",
                "urlMain": "https://twitter.com/",
                "errorType": "message",
                "errorMsg": "Sorry, that page doesn’t exist!",
            },
            "Instagram": {
                "url": "https://www.instagram.com/{}/",
                "urlMain": "https://www.instagram.com/",
                "errorType": "status_code",
                "errorCode": 404,
            },
            "Facebook": {
                "url": "https://www.facebook.com/{}",
                "urlMain": "https://www.facebook.com/",
                "errorType": "response_url",
            },
        }
        query_notify = None
        tor = False
        unique_tor = False
        proxy = None
        timeout = 60

        results = sherlock(username, site_data, query_notify, tor, unique_tor, proxy, timeout)

        assert results["Instagram"]["status"] == QueryStatus.AVAILABLE