Spaces:
Sleeping
Sleeping
File size: 1,407 Bytes
30b25a5 a9f051b 30b25a5 5b2c0c6 a9f051b 30b25a5 14eb8bf 30b25a5 a9f051b 30b25a5 a9f051b 30b25a5 a9f051b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
---
title: Field Correlation Analyzer
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 8501
tags:
- streamlit
- json
- analysis
- field-correlation
pinned: false
short_description: Analyze JSON files and detect important fields
---
# Field Correlation Analyzer
Upload a JSON file to analyze important fields and generate regex patterns for field extraction.
## Features
- 🔍 **Automatic Field Detection**: Detects summary/aggregate fields automatically
- 📊 **Hierarchy Analysis**: Classifies data structure by hierarchy levels
- 🎯 **Smart Recommendations**: Recommends important fields for validation
- 📝 **Regex Generation**: Generates regex patterns for field extraction
- 📥 **Export Results**: Download analysis results as JSON
## How to Use
1. Upload a JSON file with structured data
2. Set the target field you want to analyze (e.g., `rotation_enabled`)
3. Click "Analyze" to process the data
4. Review the structure analysis and field recommendations
5. Select fields and generate regex patterns
6. Download the results as JSON
## Example JSON Structure
```json
{
"results": {
"summary": {
"total_keys": 13,
"rotated_keys": 6,
"rotation_percentage": 46
},
"kms_keys": {
"object": [
{
"key_id": "12345",
"rotation_enabled": true,
"key_state": "Enabled"
}
]
}
}
}
```
|