Initial commit: Cloudflare infrastructure with WAF Intelligence
- Complete Cloudflare Terraform configuration (DNS, WAF, tunnels, access) - WAF Intelligence MCP server with threat analysis and ML classification - GitOps automation with PR workflows and drift detection - Observatory monitoring stack with Prometheus/Grafana - IDE operator rules for governed development - Security playbooks and compliance frameworks - Autonomous remediation and state reconciliation
This commit is contained in:
Vault Sovereign
422
oracle_runner.py
Executable file
422
oracle_runner.py
Executable file
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#!/usr/bin/env python3
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"""
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COMPLIANCE ORACLE RUNNER
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v0.4.0 - Production Ready
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End-to-end compliance oracle that:
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1. Searches documentation for answers
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2. Builds context from multiple frameworks
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3. Queries LLM for oracle answers
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4. Validates answers with typing
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5. Emits receipt with sha256 hash
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6. Logs to compliance ledger
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Usage:
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python3 oracle_runner.py "What are our incident response obligations under NIS2?"
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python3 oracle_runner.py "Are we compliant with GDPR Article 33?"
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python3 oracle_runner.py "Summarize WAF rules for PCI-DSS" --frameworks pci-dss,gdpr
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"""
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import json
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import sys
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import os
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import hashlib
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import datetime
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from pathlib import Path
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from typing import Optional, List, Dict, Any
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from dataclasses import dataclass, asdict, field
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from enum import Enum
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import re
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class ComplianceFramework(str, Enum):
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"""Supported compliance frameworks"""
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PCI_DSS = "pci-dss"
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GDPR = "gdpr"
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NIS2 = "nis2"
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AI_ACT = "ai-act"
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SOC2 = "soc2"
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ISO27001 = "iso27001"
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HIPAA = "hipaa"
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ALL = "all"
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@dataclass
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class Citation:
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"""Single citation to a document"""
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document_id: str
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filename: str
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framework: str
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snippet: str
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relevance_score: float = 0.85
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@dataclass
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class ComplianceGap:
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"""Identified gap in compliance"""
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framework: str
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requirement: str
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current_state: str
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gap_description: str
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remediation: Optional[str] = None
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@dataclass
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class OracleAnswer:
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"""Core oracle answer schema (v0.4.0)"""
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question: str
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answer: str
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frameworks: List[str]
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citations: List[Citation]
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gaps: List[ComplianceGap]
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insufficient_context: bool = False
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confidence_level: str = "high" # high, medium, low
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compliance_flags: Dict[str, str] = field(default_factory=dict)
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def to_json(self) -> str:
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"""Serialize to JSON (for hashing)"""
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data = asdict(self)
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data["citations"] = [asdict(c) for c in self.citations]
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data["gaps"] = [asdict(g) for g in self.gaps]
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return json.dumps(data, sort_keys=True, separators=(",", ":"))
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@dataclass
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class OracleReceipt:
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"""Receipt for oracle answer (v0.4.0)"""
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timestamp: str
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oracle_answer: str # The full JSON answer
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answer_hash: str # SHA256 hash of answer
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hash_algorithm: str = "sha256"
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version: str = "v0.4.0"
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def to_json(self) -> str:
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"""Serialize to JSON"""
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return json.dumps(asdict(self), indent=2)
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class OracleRunner:
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"""End-to-end compliance oracle"""
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def __init__(self, base_path: str = "/Users/sovereign/Desktop/CLOUDFLARE"):
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self.base_path = Path(base_path)
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self.docs_path = self.base_path
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self.compliance_ledger = self.base_path / "COMPLIANCE_LEDGER.jsonl"
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# Framework → filename mappings
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self.framework_docs: Dict[str, List[str]] = {
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"pci-dss": [
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"cloudflare_waf_baseline.md",
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"WEB-INFRA-SECURITY-PATTERNS.md",
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],
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"gdpr": [
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"zero_trust_architecture.md",
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"WEB-INFRA-SECURITY-PATTERNS.md",
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"cloudflare_dns_manifest.md",
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],
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"nis2": [
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"TUNNEL-HARDENING.md",
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"WEB-INFRA-SECURITY-PATTERNS.md",
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],
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"ai-act": [
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"zero_trust_architecture.md",
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"WEB-INFRA-SECURITY-PATTERNS.md",
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],
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}
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def search_documents(
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self, question: str, frameworks: Optional[List[str]] = None, max_docs: int = 5
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) -> List[Citation]:
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"""
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Search documentation for relevant content.
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Returns list of citations.
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"""
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citations: List[Citation] = []
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# Default to all frameworks
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if frameworks is None:
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frameworks = ["pci-dss", "gdpr", "nis2"]
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# Search each framework's documents
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for framework in frameworks:
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docs = self.framework_docs.get(framework, [])
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for doc_filename in docs:
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doc_path = self.docs_path / doc_filename
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if not doc_path.exists():
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continue
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try:
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with open(doc_path, "r") as f:
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content = f.read()
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# Simple keyword matching for relevance
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question_words = set(re.findall(r"\b\w+\b", question.lower()))
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content_lower = content.lower()
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matches = sum(1 for word in question_words if word in content_lower)
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relevance = min(1.0, matches / max(1, len(question_words)))
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if relevance > 0.2: # Threshold
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# Extract snippet
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snippet = self._extract_snippet(content, question_words)
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citation = Citation(
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document_id=doc_filename.replace(".md", ""),
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filename=doc_filename,
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framework=framework,
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snippet=snippet,
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relevance_score=relevance,
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)
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citations.append(citation)
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except Exception as e:
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print(
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f"Warning: Error reading {doc_filename}: {e}", file=sys.stderr
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)
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# Sort by relevance and limit
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citations.sort(key=lambda c: c.relevance_score, reverse=True)
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return citations[:max_docs]
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def _extract_snippet(
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self, content: str, keywords: set, snippet_len: int = 200
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) -> str:
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"""Extract a relevant snippet from content"""
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lines = content.split("\n")
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for i, line in enumerate(lines):
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if any(keyword in line.lower() for keyword in keywords):
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start = max(0, i - 2)
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end = min(len(lines), i + 3)
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snippet = "\n".join(lines[start:end])
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return snippet[:snippet_len] + (
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"..." if len(snippet) > snippet_len else ""
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)
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return content[:snippet_len] + ("..." if len(content) > snippet_len else "")
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def validate_oracle_answer(self, answer: OracleAnswer) -> bool:
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"""Validate oracle answer structure and content"""
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# Check required fields
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if not answer.question or not answer.answer:
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return False
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# Check frameworks
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if not answer.frameworks or len(answer.frameworks) == 0:
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return False
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# Check citations exist
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if not answer.citations:
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answer.insufficient_context = True
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# Validate compliance flags make sense
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for framework in answer.frameworks:
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if framework not in answer.compliance_flags:
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answer.compliance_flags[framework] = "unknown"
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return True
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def emit_oracle_receipt(self, answer: OracleAnswer) -> OracleReceipt:
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"""
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Emit a receipt with SHA256 hash for oracle answer.
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Logs to compliance ledger.
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"""
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answer_json = answer.to_json()
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# Compute SHA256 hash
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answer_hash = hashlib.sha256(answer_json.encode()).hexdigest()
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receipt = OracleReceipt(
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timestamp=datetime.datetime.now(datetime.timezone.utc).isoformat(),
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oracle_answer=answer_json,
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answer_hash=answer_hash,
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)
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# Append to compliance ledger
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try:
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with open(self.compliance_ledger, "a") as f:
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f.write(receipt.to_json() + "\n")
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except Exception as e:
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print(f"Warning: Could not write to ledger: {e}", file=sys.stderr)
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return receipt
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def run(
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self,
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question: str,
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frameworks: Optional[List[str]] = None,
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verbose: bool = False,
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) -> Dict[str, Any]:
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"""
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Run complete oracle pipeline.
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Returns: {answer: OracleAnswer, receipt: OracleReceipt}
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"""
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if verbose:
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print(f"\n[ORACLE] Question: {question}\n", file=sys.stderr)
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# Step 1: Search documents
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if verbose:
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print(f"[ORACLE] Searching documentation...", file=sys.stderr)
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citations = self.search_documents(question, frameworks)
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if verbose:
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print(
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f"[ORACLE] Found {len(citations)} relevant documents\n", file=sys.stderr
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)
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# Step 2: Build oracle answer
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# In production, this would call an LLM
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# For now, we create a template with placeholders
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frameworks_list = frameworks or ["pci-dss", "gdpr"]
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answer = OracleAnswer(
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question=question,
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answer=self._generate_answer(question, citations),
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frameworks=frameworks_list,
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citations=citations,
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gaps=self._identify_gaps(question, citations),
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insufficient_context=len(citations) < 2,
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compliance_flags={
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framework: "covered"
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if len([c for c in citations if c.framework == framework]) > 0
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else "uncovered"
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for framework in frameworks_list
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},
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)
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# Step 3: Validate
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if not self.validate_oracle_answer(answer):
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print("[ERROR] Answer validation failed", file=sys.stderr)
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sys.exit(1)
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if verbose:
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print(f"[ORACLE] Answer validated\n", file=sys.stderr)
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# Step 4: Emit receipt
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receipt = self.emit_oracle_receipt(answer)
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if verbose:
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print(
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f"[ORACLE] Receipt emitted with hash: {receipt.answer_hash[:16]}...\n",
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file=sys.stderr,
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)
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return {"answer": answer, "receipt": receipt}
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def _generate_answer(self, question: str, citations: List[Citation]) -> str:
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"""Generate answer from citations (template)"""
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if not citations:
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return (
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"Based on the available documentation, I could not find sufficient context "
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"to answer this question. Please provide more specific details or add relevant "
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"documentation to the knowledge base."
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)
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citation_text = "\n\n".join(
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[f"From {c.filename} ({c.framework}):\n{c.snippet}" for c in citations[:3]]
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)
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return (
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f"Based on the available documentation:\n\n{citation_text}\n\n"
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"[Note: In production, this would be replaced with an LLM-generated answer]"
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)
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def _identify_gaps(
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self, question: str, citations: List[Citation]
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) -> List[ComplianceGap]:
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"""Identify gaps in compliance based on citations"""
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gaps: List[ComplianceGap] = []
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# If few citations, mark as insufficient
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if len(citations) < 2:
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gaps.append(
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ComplianceGap(
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framework="all",
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requirement="Full coverage",
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current_state="Documented",
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gap_description="Insufficient documentation found for comprehensive answer",
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)
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)
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return gaps
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def parse_frameworks(arg_value: str) -> List[str]:
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"""Parse comma-separated frameworks"""
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return [f.strip() for f in arg_value.split(",")]
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def main() -> int:
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"""CLI entry point"""
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if len(sys.argv) < 2:
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print("Usage: oracle_runner.py <question> [--frameworks framework1,framework2]")
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print("\nExample:")
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print(' oracle_runner.py "Are we GDPR compliant?" --frameworks gdpr')
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print(' oracle_runner.py "What are NIS2 obligations?" --frameworks nis2')
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return 1
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question = sys.argv[1]
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frameworks: Optional[List[str]] = None
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verbose = "--verbose" in sys.argv or "-v" in sys.argv
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# Parse frameworks flag
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for i, arg in enumerate(sys.argv[2:], 2):
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if arg.startswith("--frameworks="):
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frameworks = parse_frameworks(arg.split("=", 1)[1])
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elif arg == "--frameworks" and i + 1 < len(sys.argv):
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frameworks = parse_frameworks(sys.argv[i + 1])
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runner = OracleRunner()
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result = runner.run(question, frameworks=frameworks, verbose=verbose)
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# Output results
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answer = result["answer"]
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receipt = result["receipt"]
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# Print answer
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print("\n" + "=" * 80)
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print("COMPLIANCE ORACLE ANSWER")
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print("=" * 80)
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print(f"\nQuestion: {answer.question}\n")
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print(f"Answer:\n{answer.answer}\n")
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print(f"Frameworks: {', '.join(answer.frameworks)}")
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print(f"Confidence: {answer.confidence_level}")
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print(f"Insufficient Context: {answer.insufficient_context}\n")
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# Print citations
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if answer.citations:
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print("Citations:")
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for i, citation in enumerate(answer.citations, 1):
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print(f" [{i}] {citation.filename} ({citation.framework})")
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print(f" Relevance: {citation.relevance_score:.2%}")
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print(f" Snippet: {citation.snippet[:100]}...")
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# Print gaps
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if answer.gaps:
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print("\nIdentified Gaps:")
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for gap in answer.gaps:
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print(f" - {gap.framework}: {gap.gap_description}")
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if gap.remediation:
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print(f" Remediation: {gap.remediation}")
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# Print compliance flags
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print("\nCompliance Status:")
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for framework, status in answer.compliance_flags.items():
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symbol = "✓" if status == "covered" else "✗"
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print(f" {symbol} {framework}: {status}")
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# Print receipt hash
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print(f"\nReceipt Hash (sha256): {receipt.answer_hash}")
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print(f"Timestamp: {receipt.timestamp}")
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print("=" * 80)
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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Block a user