The process described in the article is an intricate method for resolving GitHub usernames to real-world email addresses. This involves several steps:
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Identify Relevant Data: Determine which parts of the vast GitHub activity logs (stored as monthly archives) are likely to contain data relevant to a specific user.
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Data Ingestion and Processing:
- Stream and decompress large volumes of JSON data from these archives.
- Maintain a comprehensive database of possible email local parts (the part before '@') based on SHA-1 hashes, which helps in reversing obfuscated emails found within the logs.
-
Identity Correlation:
- Create an index that correlates GitHub usernames with author names across all historical data to establish consistent identity patterns.
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Deduplication and Validation:
- Ensure that each resolved email address is unique and not already associated with another user.
- Verify the validity of the email addresses by attempting to send a test message (SMTP validation).
-
API Endpoint:
- Provide an API endpoint (
https://peopledb.io/api/v1/people?github_login=octocat) that returns all relevant information about a GitHub username, including linked LinkedIn profiles and email
- Provide an API endpoint (
Read the full article at DEV Community
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