Metadata-Version: 2.2
Name: advcsv
Version: 0.1.1
Summary: Advanced CSV handling with encryption, compression, and validation.
Home-page: https://github.com/Sumedh1599/advcsv
Author: Sumedh Patil
Author-email: admin@aipresso.uk
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: cryptography
Requires-Dist: jsonschema
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# advcsv

`advcsv` provides secure and optimized CSV handling with **AES encryption, Gzip compression, schema validation, and multi-threading**.

## Features

- **Gzip compression for efficient storage**
- **AES encryption for secure CSV storage**
- **CSV schema validation**
- **Multi-threaded CSV compression**
- **Automatic key generation**

## Installation

```bash
pip install advcsv

USAGE:
from advcsv import advcsv

data = [["Alice", "admin"], ["Bob", "user"]]
headers = ["name", "role"]
key = advcsv.generate_key()

compressed = advcsv.compress_csv(data, headers)
decompressed = advcsv.decompress_csv(compressed)

encrypted = advcsv.encrypt_csv(data, headers, key)
decrypted = advcsv.decrypt_csv(encrypted, key)

schema = {"type": "array", "items": {"type": "object", "properties": {"name": {"type": "string"}, "role": {"type": "string"}}}}
is_valid = advcsv.validate_csv(data, headers, schema)
```
