# compliance/risk_classification.py
import importlib.util
import pkgutil

def scan_integration_imports(chain):
    # Scan imports for LLM providers
    providers = []
    for importer, name, ispkg in pkgutil.walk_packages(chain.__spec__.submodule_search_locations):
        if name.startswith('langchain.llms'):
            providers.append(name)
    
    # Classify providers by risk level
    risk_classification = {}
    for provider in providers:
        # Assume risk classification is based on EU AI Act Article 6
        # In a real-world scenario, this would involve more complex logic
        if provider == 'langchain.llms.openai':
            risk_classification[provider] = 'high'
        elif provider == 'langchain.llms.anthropic':
            risk_classification[provider] = 'medium'
        else:
            risk_classification[provider] = 'low'
    
    return risk_classification

# compliance/compliant_providers.py
compliant_providers = {
    'langchain.llms.openai': True,
    'langchain.llms.anthropic': False
}

# compliance/checklist.py
class Checklist:
    def __init__(self, chain):
        self.chain = chain
    
    def generate_checklist(self):
        # Generate a checklist based on the chain's LLM providers
        checklist = []
        for provider in self.chain.__spec__.submodule_search_locations:
            if provider.startswith('langchain.llms'):
                checklist.append(f'{provider}: {self.check_provider(provider)}')
        
        return checklist
    
    def check_provider(self, provider):
        # Check if the provider is compliant with EU AI Act Article 6