# -*- coding: utf-8 -*-
"""
zkPC Runtime - Zero-Knowledge Proof-of-Constitution (Phase 9.2)

Constitutional Alignment: F8 (Genius - Cryptographic Truth)
Authority: Psi (APEX)

Purpose:
- Generate cryptographically verifiable receipts for every decision
- Implement 5-phase governance flow (PAUSE, CONTRAST, INTEGRATE, COOL, SEAL)
- Commit hashes to Vault-999 Cooling Ledger
"""

import hashlib
import json
from dataclasses import asdict, dataclass
from datetime import datetime, timezone
from enum import Enum
from typing import Any, Dict, List, Optional

# Import Ledger for commitment
# Note: In a real implementation we might use the PostgresLedger class,
# but to avoid circular deps we might just use the dictionary structure here
# or inject the ledger instance.

class ZKPCPhase(Enum):
    PAUSE = "PAUSE"
    CONTRAST = "CONTRAST"
    INTEGRATE = "INTEGRATE"
    COOL = "COOL"
    SEAL = "SEAL"

@dataclass
class ZKPCContext:
    user_query: str
    retrieved_canon: List[str]
    high_stakes: bool
    meta: Dict[str, Any]

def build_care_scope(ctx: ZKPCContext) -> Dict[str, Any]:
    """Phase I: PAUSE & Build Care Scope."""
    return {
        "query_hash": hashlib.sha256(ctx.user_query.encode()).hexdigest(),
        "stakes_level": "HIGH" if ctx.high_stakes else "STANDARD",
        "canon_refs": len(ctx.retrieved_canon),
        "timestamp": datetime.now(timezone.utc).isoformat()
    }

def compute_metrics_stub(ctx: ZKPCContext) -> Dict[str, Any]:
    """Phase II: CONTRAST (Metrics)."""
    # In production, this would compute precise thermodynamic metrics
    return {
        "delta_s": 0.0,
        "peace_squared": 1.0,
        "truth_score": 0.99
    }

def run_eye_cool_phase_stub(ctx: ZKPCContext, answer: str, metrics: Dict[str, Any]) -> Dict[str, Any]:
    """Phase IV: COOL (@EYE validation)."""
    return {
        "eye_status": "WATCHING",
        "cooling_duration_ms": 150,
        "verification_result": "PASS"
    }

def build_zkpc_receipt(
    ctx: ZKPCContext,
    answer: str,
    care_scope: Dict[str, Any],
    metrics: Dict[str, Any],
    eye_report: Dict[str, Any],
    phases_status: Dict[str, str],
    verdict: str
) -> Dict[str, Any]:
    """Phase V: SEAL (Generate Receipt)."""

    # 1. Construct canonical receipt structure
    receipt_data = {
        "version": "v1.0",
        "session_id": ctx.meta.get("session_id"),
        "timestamp": datetime.now(timezone.utc).isoformat(),
        "care_scope": care_scope,
        "metrics": metrics,
        "phases": phases_status,
        "verdict": verdict,
        "eye_signature": eye_report.get("verification_result")
    }

    # 2. Serialize and Hash
    serialized = json.dumps(receipt_data, sort_keys=True)
    receipt_hash = hashlib.sha256(serialized.encode()).hexdigest()

    # 3. Merkle Leaf (simplified)
    # In a full tree, this hash would be added to the tree
    merkle_leaf = {
        "hash": receipt_hash,
        "data": receipt_data
    }

    return {
        "receipt_id": f"zkpc_{receipt_hash[:12]}",
        "receipt_data": receipt_data,
        "vault_commit": {
            "hash": receipt_hash,
            "merkle_root": "placeholder_root_" + receipt_hash[:8], # Dynamic in prod
            "ledger_file": "L1_cooling_ledger.jsonl"
        }
    }

def commit_receipt_to_vault(receipt: Dict[str, Any]) -> Dict[str, Any]:
    """
    Commit the generated receipt to the ledger.
    """
    # In a full system, this would write to PostgresLedger
    # For now, it prepares the entry
    entry = {
        "id": receipt["receipt_id"],
        "hash": receipt["vault_commit"]["hash"],
        "data": receipt["receipt_data"],
        "committed_at": datetime.now(timezone.utc).isoformat()
    }
    return entry
