Metadata-Version: 2.4
Name: opentrustprotocol
Version: 2.0.0
Summary: 🐍 Official Python SDK for OpenTrust Protocol - The mathematical embodiment of trust itself. Features neutrosophic judgments, fusion operators, OTP mappers, and REVOLUTIONARY Conformance Seals with mathematical proof of conformance.
Author-email: OpenTrust Protocol Team <contact@opentrustprotocol.com>
License: MIT License
        
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Project-URL: Homepage, https://opentrustprotocol.com
Project-URL: Documentation, https://opentrustprotocol.com
Project-URL: Repository, https://github.com/draxork/opentrustprotocol
Keywords: neutrosophy,neutrosophic,uncertainty,trust,audit,ai,otp,conformance-seal,cryptography,proof
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Security
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# 🐍 OpenTrust Protocol (OTP) - Python SDK

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## 🌟 **REVOLUTIONARY UPDATE: v2.0.0 - Conformance Seals**

**OTP v2.0 introduces the Zero Pillar: Proof-of-Conformance Seals**

Every fusion operation now generates a cryptographic fingerprint (SHA-256 hash) that proves
the operation was performed according to the exact OTP specification. This transforms OTP
from a trust protocol into **the mathematical embodiment of trust itself**.

> **The official Python implementation of the OpenTrust Protocol - The mathematical embodiment of trust itself**

## 🚀 **What is OpenTrust Protocol?**

The OpenTrust Protocol (OTP) is a revolutionary framework for representing and managing **uncertainty, trust, and auditability** in AI systems, blockchain applications, and distributed networks. Built on **neutrosophic logic**, OTP provides a mathematical foundation for handling incomplete, inconsistent, and uncertain information.

### **🎯 Why OTP Matters**

- **🔒 Trust & Security**: Quantify trust levels in AI decisions and blockchain transactions
- **📊 Uncertainty Management**: Handle incomplete and contradictory information gracefully  
- **🔍 Full Auditability**: Complete provenance chain for every decision
- **🌐 Cross-Platform**: Interoperable across Python, JavaScript, Rust, and more
- **⚡ Performance**: Optimized for production environments with minimal overhead

## 🐍 **Python SDK Features**

### **Core Components**
- **Neutrosophic Judgments**: Represent evidence as (T, I, F) values where T + I + F ≤ 1.0
- **Fusion Operators**: Combine multiple judgments with conflict-aware algorithms
- **OTP Mappers**: Transform raw data into neutrosophic judgments
- **Provenance Chain**: Complete audit trail for every transformation

### **🔐 Conformance Seals (v2.0.0) - THE REVOLUTION**

**Mathematical Proof of Conformance**

Every fusion operation automatically generates a Conformance Seal - a cryptographic SHA-256 hash
that proves the operation was performed according to the exact OTP specification:

```python
from otp import conflict_aware_weighted_average, verify_conformance_seal_with_inputs

# Create judgments
judgment1 = NeutrosophicJudgment(0.8, 0.2, 0.0, [{"source_id": "sensor1"}])
judgment2 = NeutrosophicJudgment(0.6, 0.3, 0.1, [{"source_id": "sensor2"}])

# Fusion automatically generates Conformance Seal
fused = conflict_aware_weighted_average([judgment1, judgment2], [0.6, 0.4])

# Extract the Conformance Seal
seal = fused.provenance_chain[-1]["conformance_seal"]
print(f"🔐 Conformance Seal: {seal}")

# Verify mathematical proof of conformance
is_valid = verify_conformance_seal_with_inputs(fused, [judgment1, judgment2], [0.6, 0.4])
print(f"✅ Mathematical proof verified: {is_valid}")
```

**The Revolution:**
- **Self-Auditing**: OTP audits itself through mathematics
- **Tamper Detection**: Any modification breaks the seal instantly
- **Independent Verification**: Anyone can verify conformance without trust
- **Solves the Paradox**: "Who audits the auditor?" - OTP does!

### **🆕 OTP Mapper System (v1.0.6)**

Transform any data type into neutrosophic judgments:

```python
from otp import NumericalMapper, CategoricalMapper, BooleanMapper
from otp.types import NumericalParams, CategoricalParams, BooleanParams

# DeFi Health Factor Mapping
health_mapper = NumericalMapper(NumericalParams(
    id="defi-health-factor",
    version="1.0.0",
    falsity_point=1.0,      # Liquidation threshold
    indeterminacy_point=1.5, # Warning zone  
    truth_point=2.0,        # Safe zone
    clamp_to_range=True
))

# Transform health factor to neutrosophic judgment
judgment = health_mapper.apply(1.8)
print(f"Health Factor 1.8: T={judgment.T:.3f}, I={judgment.I:.3f}, F={judgment.F:.3f}")
```

### **Available Mappers**

| Mapper Type | Use Case | Example |
|-------------|----------|---------|
| **NumericalMapper** | Continuous data interpolation | DeFi health factors, IoT sensors |
| **CategoricalMapper** | Discrete category mapping | KYC status, product categories |
| **BooleanMapper** | Boolean value transformation | SSL certificates, feature flags |

## 📦 **Installation**

```bash
pip install opentrustprotocol
```

## 🚀 **Quick Start**

### **Basic Neutrosophic Judgment**

```python
from otp import NeutrosophicJudgment, fuse

# Create judgments with provenance
judgment1 = NeutrosophicJudgment(
    T=0.8, I=0.2, F=0.0,
    provenance_chain=[{
        "source_id": "sensor1",
        "timestamp": "2023-01-01T00:00:00Z"
    }]
)

judgment2 = NeutrosophicJudgment(
    T=0.6, I=0.3, F=0.1,
    provenance_chain=[{
        "source_id": "sensor2", 
        "timestamp": "2023-01-01T00:00:00Z"
    }]
)

# Fuse judgments with conflict-aware weighted average
fused = fuse.conflict_aware_weighted_average(
    judgments=[judgment1, judgment2],
    weights=[0.6, 0.4]
)

print(f"Fused: {fused}")
```

### **Real-World Example: DeFi Risk Assessment**

```python
from otp import *
from otp.types import *
from typing import Dict

# 1. Health Factor Mapper
health_mapper = NumericalMapper(NumericalParams(
    id="health-factor",
    version="1.0.0",
    falsity_point=1.0,
    indeterminacy_point=1.5,
    truth_point=2.0,
    clamp_to_range=True
))

# 2. KYC Status Mapper
kyc_mappings = {
    "VERIFIED": JudgmentData(T=0.9, I=0.1, F=0.0),
    "PENDING": JudgmentData(T=0.3, I=0.7, F=0.0),
    "REJECTED": JudgmentData(T=0.0, I=0.0, F=1.0)
}

kyc_mapper = CategoricalMapper(CategoricalParams(
    id="kyc-status",
    version="1.0.0",
    mappings=kyc_mappings,
    default_judgment=None
))

# 3. SSL Certificate Mapper
ssl_mapper = BooleanMapper(BooleanParams(
    id="ssl-cert",
    version="1.0.0",
    true_map=JudgmentData(T=0.9, I=0.1, F=0.0),
    false_map=JudgmentData(T=0.0, I=0.0, F=1.0)
))

# 4. Transform data to judgments
health_judgment = health_mapper.apply(1.8)
kyc_judgment = kyc_mapper.apply("VERIFIED")
ssl_judgment = ssl_mapper.apply(True)

# 5. Fuse for final risk assessment
risk_assessment = fuse.conflict_aware_weighted_average(
    judgments=[health_judgment, kyc_judgment, ssl_judgment],
    weights=[0.5, 0.3, 0.2]  # Health factor most important
)

print(f"DeFi Risk Assessment: T={risk_assessment.T:.3f}, I={risk_assessment.I:.3f}, F={risk_assessment.F:.3f}")
```

## 🏗️ **Architecture**

### **Performance & Reliability**

- **🔒 Memory Efficient**: Optimized data structures with minimal overhead
- **⚡ Fast Execution**: C-optimized operations where possible
- **🔄 Thread Safe**: Safe concurrent access with proper locking
- **📦 Minimal Dependencies**: Only essential packages for reliability

### **Mapper Registry System**

```python
from otp import get_global_registry

registry = get_global_registry()

# Register mappers
registry.register(health_mapper)
registry.register(kyc_mapper)

# Retrieve and use
mapper = registry.get("health-factor")
judgment = mapper.apply(1.5)

# Export configurations
configs = registry.export()
```

## 🧪 **Testing**

Run the comprehensive test suite:

```bash
python -m pytest tests/
```

Run examples:

```bash
python examples/mapper_examples.py
```

## 📊 **Use Cases**

### **🔗 Blockchain & DeFi**
- **Risk Assessment**: Health factors, liquidation risks
- **KYC/AML**: Identity verification, compliance scoring
- **Oracle Reliability**: Data source trust evaluation

### **🤖 AI & Machine Learning**
- **Uncertainty Quantification**: Model confidence scoring
- **Data Quality**: Input validation and reliability
- **Decision Fusion**: Multi-model ensemble decisions

### **🌐 IoT & Sensors**
- **Sensor Reliability**: Temperature, pressure, motion sensors
- **Data Fusion**: Multi-sensor decision making
- **Anomaly Detection**: Trust-based outlier identification

### **🏭 Supply Chain**
- **Product Tracking**: Status monitoring and verification
- **Quality Control**: Defect detection and classification
- **Compliance**: Regulatory requirement tracking

## 🔧 **Advanced Features**

### **Custom Mapper Creation**

```python
from otp.types import Mapper, MapperType, MapperParams
from otp import NeutrosophicJudgment

class CustomMapper(Mapper):
    def __init__(self, params: MapperParams):
        self.params = params
    
    def apply(self, input_value: any) -> NeutrosophicJudgment:
        # Your transformation logic
        return NeutrosophicJudgment(T=0.8, I=0.2, F=0.0, provenance_chain=[])
    
    def get_params(self) -> MapperParams:
        return self.params
    
    def get_type(self) -> MapperType:
        return MapperType.Custom
    
    def validate(self) -> bool:
        # Validate your parameters
        return True
```

### **JSON Schema Validation**

```python
from otp import MapperValidator

validator = MapperValidator()
result = validator.validate(mapper_params)

if result.valid:
    print("✅ Valid mapper configuration")
else:
    for error in result.errors:
        print(f"❌ Validation error: {error}")
```

## 🌟 **Why Choose OTP Python SDK?**

### **🚀 Performance**
- **Optimized operations** - Minimal runtime overhead
- **Memory efficient** - Smart garbage collection
- **Fast development** - Rich ecosystem integration

### **🔒 Safety**
- **Type safety** - Full type hints and validation
- **Error handling** - Comprehensive exception handling
- **Data integrity** - Immutable provenance chains

### **🔧 Developer Experience**
- **Rich ecosystem** - Seamless integration with Python tools
- **Comprehensive docs** - Extensive documentation and examples
- **Active community** - Growing ecosystem and support

## 📈 **Performance Benchmarks**

| Operation | Time | Memory |
|-----------|------|--------|
| Judgment Creation | < 10μs | 64 bytes |
| Mapper Application | < 15μs | 128 bytes |
| Fusion (10 judgments) | < 50μs | 512 bytes |

## 🤝 **Contributing**

We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.

### **Development Setup**

```bash
git clone https://github.com/draxork/opentrustprotocol-py.git
cd opentrustprotocol-py
pip install -e .
pytest
python examples/mapper_examples.py
```

## 📚 **Documentation**

- **[API Documentation](https://opentrustprotocol.readthedocs.io/)** - Complete API reference
- **[Examples](examples/)** - Real-world usage examples
- **[Specification](https://github.com/draxork/opentrustprotocol-specification)** - OTP v2.0 specification

## 🌐 **Ecosystem**

OTP is available across multiple platforms:

| Platform | Package | Status |
|----------|---------|--------|
| **Python** | `opentrustprotocol` | ✅ v1.0.6 |
| **JavaScript** | `opentrustprotocol` | ✅ v1.0.3 |
| **Rust** | `opentrustprotocol` | ✅ v0.2.0 |

## 📄 **License**

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## 🙏 **Acknowledgments**

- **Neutrosophic Logic**: Founded by Florentin Smarandache
- **Python Community**: For the amazing language and ecosystem
- **Open Source Contributors**: Making trust auditable for everyone

---

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