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LangChain v1.0: Auto-Protect Sensitive Data with PIIMiddleware
Problem:
User messages often contain sensitive information like emails and phone numbers.
Logging or storing this data without protection creates compliance and security risks.
Solution:
LangChain v1.0 introduces PIIMiddleware to automatically protect sensitive data before model processing.
PIIMiddleware supports multiple protection modes:
- 5 built-in detectors (email, credit card, IP, MAC, URL)
- Custom regex for any PII pattern
- Replace with [REDACTED], mask as ****1234, or block entirely
Test File Operations Without Risk Using tmp_path
Problem:
Testing file operations requires touching the actual file system, which can be dangerous if not handled carefully. Real data can be overwritten by mistake.
Tests can also leave behind unwanted files across your project.
Solution:
The tmp_path fixture provides a safe alternative by creating temporary, isolated directories that clean up themselves after each test.
Here’s how to use tmp_path:
- Add tmp_path to your test function signature
- Work with it like any pathlib.Path object
- pytest handles the rest: isolated directories per test, automatic cleanup
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| 📚 Latest Deep Dives |
Turn Polars and Pandas DataFrames into professional tables with automatic number formatting, visual heatmaps, and sparkline charts. Fully reproducible when data updates.
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