# arifos_core/zkpc_runtime.py
"""
zkPC Runtime (v36Ω) — v0.1 Implementation Stub

This module implements a non-cryptographic zkPC runtime that:

- Builds a care_scope (Phase I — PAUSE),
- Computes metrics (Phase II/III — CONTRAST/INTEGRATE),
- Runs @EYE cooling checks (Phase IV — COOL),
- Builds a zkPC receipt (Phase V — SEAL),
- Optionally commits the receipt to the Cooling Ledger (L1),
- Updates SHA-256 hash-chain and Merkle root via existing helpers.

NOTE:
- This is v0.1 and deliberately conservative.
- It DOES NOT perform real zkSNARK/STARK proofs; it shapes data for future zk.
"""

from __future__ import annotations

import datetime as _dt
import uuid
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional
from pathlib import Path

from arifos_core.ledger_hashing import (
    compute_entry_hash,
    dump_jsonl,
    load_jsonl,
    HASH_FIELD,
    PREVIOUS_HASH_FIELD,
    GENESIS_PREVIOUS_HASH,
)
from arifos_core.merkle import build_merkle_tree


# Paths (can later be centralized in a config or manifest)
COOLING_LEDGER_PATH = Path("cooling_ledger") / "L1_cooling_ledger.jsonl"
MERKLE_ROOT_PATH = Path("cooling_ledger") / "L1_merkle_root.txt"


@dataclass
class ZKPCContext:
    """
    Context for zkPC runtime.

    You can extend this dataclass as needed with:
    - model name
    - request ID
    - risk level
    - retrieved canon entries
    etc.
    """
    user_query: str
    retrieved_canon: List[Dict[str, Any]] = field(default_factory=list)
    high_stakes: bool = False
    # optional metadata
    meta: Optional[Dict[str, Any]] = None


def _now_iso() -> str:
    return _dt.datetime.utcnow().replace(microsecond=0).isoformat() + "Z"


# ---------------------------------------------------------------------------
# Phase I — PAUSE (Care Scope)
# ---------------------------------------------------------------------------

def build_care_scope(ctx: ZKPCContext) -> Dict[str, Any]:
    """
    Phase I: PAUSE — declare care scope before heavy cognition.

    This is a simple heuristic v0.1 implementation. You can make it smarter:
    - classify the query,
    - detect entities involved,
    - tag risk categories.
    """
    stakeholders = ["user"]
    if ctx.high_stakes:
        stakeholders.append("community")

    ethical_risks: List[str] = []
    if ctx.high_stakes:
        ethical_risks.append("high_stakes")
    # TODO: add richer risk classification (e.g. trauma, religion, legal, medical)

    entropy_sources: List[str] = []
    if len(ctx.user_query) < 10:
        entropy_sources.append("ambiguous_query")

    floors_in_scope: List[str] = [
        "F1_Truth",
        "F2_DeltaS",
        "F3_PeaceSquared",
        "F4_KappaR",
        "F6_Amanah",
        "F9_AntiHantu",
    ]
    if ctx.high_stakes:
        floors_in_scope.append("F8_TriWitness")

    return {
        "stakeholders": stakeholders,
        "ethical_risks": ethical_risks,
        "entropy_sources": entropy_sources,
        "floors_in_scope": floors_in_scope,
    }


# ---------------------------------------------------------------------------
# Phases II & III — CONTRAST / INTEGRATE (Metrics)
# ---------------------------------------------------------------------------

def compute_metrics_stub(ctx: ZKPCContext, answer: str) -> Dict[str, Any]:
    """
    Placeholder for metrics computation.

    TODO:
    - Replace with real call into arifos_core.metrics (or equivalent).
    - For now, we return safe "dummy pass" values so this stub can run
      without breaking anything.
    """
    # These defaults are intentionally conservative and should be
    # replaced by real calculations.
    return {
        "truth": 0.99,
        "delta_s": 0.10,
        "peace_squared": 1.05,
        "kappa_r": 0.97,
        "omega_0": 0.04,
        "amanah": "LOCK",
        "rasa": True,
        "tri_witness": 0.96 if ctx.high_stakes else 0.90,
        "anti_hantu": "PASS",
        "psi": 1.05,
        "shadow": 0.02,
    }


# ---------------------------------------------------------------------------
# Phase IV — COOL (@EYE)
# ---------------------------------------------------------------------------

def run_eye_cool_phase_stub(
    ctx: ZKPCContext,
    answer: str,
    metrics: Dict[str, Any],
) -> Dict[str, Any]:
    """
    Placeholder for @EYE cooling checks.

    TODO:
    - Integrate with real @EYE sentinel logic (drift, shadow, Anti-Hantu, etc.).
    - For now, we emit a minimal report.

    Possible future fields:
    - warnings: list[str]
    - drift_detected: bool
    - shadow_level: "LOW" | "MEDIUM" | "HIGH"
    - hantu_scan: "PASS" | "FAIL"
    """
    report: Dict[str, Any] = {
        "warnings": [],
        "drift_detected": False,
        "shadow_level": "LOW",
        "hantu_scan": "PASS",
    }

    # Example soft warning if tri_witness < 0.95 in high-stakes
    if ctx.high_stakes and metrics.get("tri_witness", 1.0) < 0.95:
        report["warnings"].append("Tri-Witness below 0.95 in high-stakes context")
        # In a real implementation, you might set drift_detected=True or
        # trigger SABAR / human review here.

    return report


# ---------------------------------------------------------------------------
# Phase V — SEAL (zkPC Receipt + Vault Commit)
# ---------------------------------------------------------------------------

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]:
    """
    Build a zkPC receipt dict matching the v35Ω schema as closely as possible.

    This does NOT write to disk or update Merkle roots; see commit_receipt_to_vault.
    """
    receipt_id = f"ZKPC-{_dt.datetime.utcnow().strftime('%Y%m%d')}-{uuid.uuid4().hex[:8]}"

    # CCE audits & tri-witness (placeholders; can be tied to real logic later)
    cce_audits = {
        "delta_p": "PASS",
        "omega_p": "PASS",
        "psi_p": "PASS",
        "phi_p": "PASS",
    }

    tri_witness = {
        "human": metrics.get("tri_witness", 0.0),  # placeholder mapping
        "ai": 0.98,   # TODO: derive from internal confidence / stability metrics
        "earth": 0.94,  # TODO: tie to external evidence grounding
        "consensus": metrics.get("tri_witness", 0.0),
    }

    sabar_triggered = False  # TODO: wire to SABAR logic if floors fail

    receipt = {
        "version": "zkPC_v35Ω",
        "receipt_id": receipt_id,
        "timestamp": _now_iso(),
        "care_scope": {
            **care_scope,
            "risk_cooled": "TODO",  # optional narrative summary
        },
        "metrics": metrics,
        "cce_audits": cce_audits,
        "tri_witness": tri_witness,
        "phases": phases_status,
        "eye_report": eye_report,
        "sabar_triggered": sabar_triggered,
        "verdict": verdict,
        # vault_commit will be filled in by commit_receipt_to_vault
        "vault_commit": {
            "ledger": "L1",
            "hash": None,
            "previous_hash": None,
            "merkle_root": None,
        },
        # Optional: include minimal context for audit (but no full chain-of-thought)
        "context_meta": {
            "high_stakes": ctx.high_stakes,
            "retrieved_canon_ids": [
                c.get("id") for c in ctx.retrieved_canon if isinstance(c, dict)
            ],
        },
    }
    return receipt


def _load_ledger_entries(path: Path) -> List[Dict[str, Any]]:
    if not path.exists():
        return []
    return load_jsonl(str(path))


def _write_ledger_entries(path: Path, entries: List[Dict[str, Any]]) -> None:
    path.parent.mkdir(parents=True, exist_ok=True)
    dump_jsonl(entries, str(path))


def commit_receipt_to_vault(
    receipt: Dict[str, Any],
) -> Dict[str, Any]:
    """
    Commit a zkPC receipt to the Cooling Ledger (L1) and update:

    - hash + previous_hash fields on the ledger entry,
    - Merkle root file.

    Returns:
        The updated ledger entry (with hash fields) as written.
    """
    ledger_path = COOLING_LEDGER_PATH
    root_path = MERKLE_ROOT_PATH

    entries = _load_ledger_entries(ledger_path)
    previous_hash = entries[-1].get(HASH_FIELD) if entries else GENESIS_PREVIOUS_HASH

    # Create the ledger entry that wraps this receipt as canon
    entry = {
        "id": receipt.get("receipt_id"),
        "timestamp": receipt.get("timestamp"),
        "type": "zkpc_receipt",
        "source": "zkpc_runtime",
        "receipt": receipt,
        PREVIOUS_HASH_FIELD: previous_hash,
    }
    entry[HASH_FIELD] = compute_entry_hash(entry)

    entries.append(entry)
    _write_ledger_entries(ledger_path, entries)

    # Recompute Merkle root from all entry hashes
    leaf_hashes = [e[HASH_FIELD] for e in entries]
    tree = build_merkle_tree(leaf_hashes)
    root = tree.root or ""
    root_path.parent.mkdir(parents=True, exist_ok=True)
    root_path.write_text(root + "\n", encoding="utf-8")

    # Update receipt.vault_commit with hash + previous_hash + merkle_root
    receipt["vault_commit"] = {
        "ledger": "L1",
        "hash": entry[HASH_FIELD],
        "previous_hash": previous_hash,
        "merkle_root": root,
    }

    return entry


# ---------------------------------------------------------------------------
# High-level convenience function
# ---------------------------------------------------------------------------

def run_zkpc_for_answer(
    ctx: ZKPCContext,
    answer: str,
    verdict: str = "SEAL",
    commit: bool = True,
) -> Dict[str, Any]:
    """
    High-level helper:

    - Runs all zkPC phases in stub form,
    - Builds a receipt,
    - Optionally commits it to Vault-999 (Cooling Ledger + Merkle),
    - Returns the receipt.

    This is the function your higher-level pipeline would call after
    generating a governed answer from an LLM.

    Args:
        ctx: ZKPCContext (user query, retrieved canon, high_stakes flag).
        answer: Final answer string to the user.
        verdict: 'SEAL' | 'PARTIAL' | 'VOID' etc.
        commit: If True, write to ledger + Merkle; if False, just return receipt.

    Returns:
        zkPC receipt dict (with vault_commit populated if commit=True).
    """
    # Phase I — PAUSE
    care_scope = build_care_scope(ctx)

    # Phases II & III — CONTRAST / INTEGRATE
    metrics = compute_metrics_stub(ctx, answer)

    # Phase IV — COOL
    eye_report = run_eye_cool_phase_stub(ctx, answer, metrics)

    # Phase tracking (for now, we treat all phases as COMPLETE/PASS)
    phases_status = {
        "pause": "COMPLETE",
        "contrast": "COMPLETE",
        "integrate": "COMPLETE",
        "cool": "PASS",
        "seal": "PENDING" if commit else "UNCOMMITTED",
    }

    # Phase V — SEAL (receipt build)
    receipt = build_zkpc_receipt(
        ctx=ctx,
        answer=answer,
        care_scope=care_scope,
        metrics=metrics,
        eye_report=eye_report,
        phases_status=phases_status,
        verdict=verdict,
    )

    if commit:
        _entry = commit_receipt_to_vault(receipt)
        phases_status["seal"] = "SEALED"
        # receipt["vault_commit"] is already updated inside commit_receipt_to_vault

    return receipt
