Ghostpii

2.0.0 verified Sat May 09 auth: no python

Ghostpii is a Python package for private computation using homomorphic encryption. It provides encrypted hash functions, batching for API calls, and data frame optimization for machine learning. Current version: 2.0.0 (Cheetah), requiring Python >=3.6. Maintenance cadence: irregular.

pip install ghostpii

Common errors

error ModuleNotFoundError: No module named 'ghostpii' ↓

cause Package not installed or environment issue.

fix

Run 'pip install ghostpii' and ensure you're using the correct Python environment.

error ImportError: cannot import name 'Ghostpii' from 'ghostpii' ↓

cause Wrong import pattern: using 'import ghostpii' instead of 'from ghostpii import Ghostpii'.

fix

Use 'from ghostpii import Ghostpii'.

error TypeError: encrypted_hash() missing required argument: 'data' ↓

cause Calling encrypted_hash without passing data argument.

fix

Pass bytes data: client.encrypted_hash(b"your data")

Warnings

breaking Version 2.0.0 (Cheetah) introduced breaking changes: batching for API calls and new homomorphically encrypted hash functions. Code written for v1.x may need updates. ↓

fix Update client code to use new batch endpoints and encrypted hash signature. See migration notes in GitHub release.

deprecated Some older API methods are deprecated as of v2.0.0. Check deprecation warnings in logs. ↓

fix Replace deprecated methods with new equivalents documented in the v2.0.0 release notes.

gotcha Requires Python >=3.6; Python 3.5 or older are unsupported and will cause installation errors. ↓

fix Upgrade Python to at least 3.6.

Imports

Ghostpii
wrong
```
import ghostpii
```
correct
```
from ghostpii import Ghostpii
```
Direct import of module does not expose Ghostpii class; use explicit from import.
encrypted_hash
```
from ghostpii import encrypted_hash
```

Quickstart

Initialize a Ghostpii client with API key, then compute an encrypted hash.

from ghostpii import Ghostpii
import os

client = Ghostpii(api_key=os.environ.get('GHOSTPII_API_KEY', ''))
# Example: compute encrypted hash
hash_value = client.encrypted_hash(b"test data")
print(hash_value)