# -*- coding: utf-8 -*-
"""
arifOS VAULT Server - Memory (999)

Constitutional Alignment: All F1-F13 (enforcement + memory storage)
Stages: 000 INIT, 999 VAULT
Version: v49.0.0
Authority: Delta (Architect)

Architecture:
- Hosts 6 MCP tools: git, obsidian, ledger, vault999, cooling_controller, zkpc_merkle
- Enforces all F1-F13 floors (read-only for 000, write for 999)
- Memory tower L0-L5 cooling bands
- EUREKA sieve and Phoenix-72 tier management

NOTE: Blueprint status. EUREKA sieve not implemented. See IMPLEMENTATION_GAPS.md.
"""

import asyncio
import hashlib
import json
import logging
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Dict, List, Optional

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, Field

# Phase 9.4: EUREKA sieve memory TTL
from arifos.core.vault.memory_tower import EUREKA_SIEVE

logger = logging.getLogger(__name__)

# =============================================================================
# REQUEST/RESPONSE MODELS
# =============================================================================

class VaultInitRequest(BaseModel):
    """Request to initialize a new session (000 INIT)."""
    query: str = Field(..., description="User query")
    user_id: str = Field(..., description="User identifier")
    context: Dict[str, Any] = Field(default_factory=dict, description="Initial context")


class VaultStoreRequest(BaseModel):
    """Request to store session result (999 VAULT)."""
    session_id: str = Field(..., description="Session identifier")
    query: str = Field(..., description="User query")
    verdict: str = Field(..., description="Final verdict")
    floor_scores: Dict[str, Any] = Field(..., description="All floor scores")
    stage_outputs: Dict[str, Any] = Field(default_factory=dict, description="All stage outputs")
    zkpc_receipt: Optional[str] = Field(None, description="zkPC receipt from 889")


class VaultResponse(BaseModel):
    """Response from VAULT server."""
    verdict: str = Field(..., description="SEAL/PARTIAL/VOID/SABAR")
    session_id: str = Field(..., description="Session identifier")
    floor_scores: Dict[str, Any] = Field(default_factory=dict, description="Floor scores")
    output: Dict[str, Any] = Field(default_factory=dict, description="Stage output")
    next_stage: str = Field(..., description="Next stage routing")
    latency_ms: float = Field(..., description="Processing time")


# =============================================================================
# VAULT SERVER CLASS
# =============================================================================

class VaultServer:
    """
    VAULT Server - Memory (999)

    Hosts session initialization (000) and final storage (999).
    Manages memory tower, cooling ledger, and constitutional canon loading.
    """

    def __init__(self, vault_path: str = "./vault_999"):
        self.vault_path = Path(vault_path)
        self.canon_path = Path("./000_THEORY")
        self.mcp_tools = [
            "git", "obsidian", "ledger", "vault999",
            "cooling_controller", "zkpc_merkle"
        ]
        self.floors = ["F1-F13"]  # All floors
        self.stages = ["000_INIT", "999_VAULT"]

        # Load constitutional canon
        self.constitutional_floors = self._load_canon()

        logger.info(f"VAULT Server initialized at {self.vault_path}")
        logger.info(f"Loaded {len(self.constitutional_floors)} constitutional floors")

    def _load_canon(self) -> Dict[str, Any]:
        """Load constitutional floors from 000_CANON.md."""
        # TODO: Implement YAML parser for canon files
        # For now, return placeholder structure
        return {
            "F1_Amanah": {"threshold": None, "type": "boolean", "floor_type": "hard"},
            "F2_Truth": {"threshold": 0.99, "type": "min", "floor_type": "hard"},
            "F3_TriWitness": {"threshold": 0.95, "type": "min", "floor_type": "hard"},
            "F4_Clarity": {"threshold": 0.0, "type": "min", "floor_type": "hard"},
            "F5_Peace": {"threshold": 1.0, "type": "min", "floor_type": "soft"},
            "F6_Empathy": {"threshold": 0.95, "type": "min", "floor_type": "soft"},
            "F7_Humility": {"threshold_range": [0.03, 0.05], "type": "range", "floor_type": "hard"},
            "F8_Genius": {"threshold": 0.80, "type": "min", "floor_type": "derived"},
            "F9_Cdark": {"threshold": 0.30, "type": "max", "floor_type": "derived"},
            "F10_Ontology": {"threshold": None, "type": "boolean", "floor_type": "hard"},
            "F11_CommandAuth": {"threshold": None, "type": "boolean", "floor_type": "hard"},
            "F12_InjectionDefense": {"threshold": 0.85, "type": "min", "floor_type": "hard"},
            "F13_Curiosity": {"threshold": 0.85, "type": "min", "floor_type": "soft"},
        }

    async def process_000_init(self, request: VaultInitRequest) -> VaultResponse:
        """
        Stage 000 INIT - Constitutional ignition.

        Loads F1-F13, initializes session, routes to 111 SENSE.
        """
        import time
        import uuid
        start_time = time.time()

        # Generate session ID
        session_id = f"session_{uuid.uuid4().hex[:16]}"

        # Initialize floor scores (all pending)
        floor_scores = {
            floor_name: {"pass": None, "score": None}
            for floor_name in self.constitutional_floors.keys()
        }

        # Verify VAULT integrity (simplified)
        vault_integrity = self.vault_path.exists()

        latency_ms = (time.time() - start_time) * 1000

        return VaultResponse(
            verdict="SEAL",
            session_id=session_id,
            floor_scores=floor_scores,
            output={
                "constitutional_floors_loaded": len(self.constitutional_floors),
                "vault_integrity": vault_integrity,
                "session_initialized": True,
            },
            next_stage="111_SENSE",
            latency_ms=latency_ms,
        )

    async def process_999_vault(self, request: VaultStoreRequest) -> VaultResponse:
        """
        Stage 999 VAULT - Memory storage and cooling ledger commit.

        Stores final verdict, applies EUREKA sieve, updates ledger.
        """
        import time
        start_time = time.time()

        # Phase 9.4: EUREKA sieve memory tier assessment
        # Extract novelty score from floor scores (F8 Genius or heuristic fallback)
        genius_score = request.floor_scores.get("F8_Genius", {})
        if isinstance(genius_score, dict):
            novelty_score = genius_score.get("score", 0.5)
        else:
            # Fallback: Use verdict-based heuristic
            novelty_score = {
                "SEAL": 0.7,    # Moderate-high novelty
                "PARTIAL": 0.4, # Moderate novelty
                "VOID": 0.0,    # Zero novelty for violations
                "SABAR": 0.3,   # Low-moderate novelty
            }.get(request.verdict, 0.1)

        # Extract tri-witness consensus if available
        tri_witness = request.floor_scores.get("F3_TriWitness", {})
        if isinstance(tri_witness, dict):
            tri_witness_consensus = tri_witness.get("score", 0.0)
        else:
            tri_witness_consensus = 0.0

        # Assess memory tier using EUREKA sieve
        ttl_assessment = EUREKA_SIEVE.assess_ttl(
            novelty_score=novelty_score,
            tri_witness_consensus=tri_witness_consensus,
            verdict=request.verdict,
            constitutional_pass=(request.verdict != "VOID"),
        )

        memory_band = ttl_assessment["memory_band"]

        # Generate ledger entry (Phase 9.4: Include TTL assessment)
        ledger_entry = {
            "session_id": request.session_id,
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "query": request.query,
            "verdict": request.verdict,
            "floor_scores": request.floor_scores,
            "zkpc_receipt": request.zkpc_receipt,
            "memory_band": memory_band,
            "eureka_sieve": ttl_assessment,  # Full TTL assessment metadata
        }

        # Write to cooling ledger (simplified)
        ledger_path = self.vault_path / "BBB_LEDGER" / "LAYER_3_AUDIT" / "cooling_ledger.jsonl"
        ledger_path.parent.mkdir(parents=True, exist_ok=True)

        with open(ledger_path, "a") as f:
            f.write(json.dumps(ledger_entry) + "\n")

        latency_ms = (time.time() - start_time) * 1000

        logger.info(f"Session {request.session_id} stored to {memory_band}, verdict: {request.verdict}")

        return VaultResponse(
            verdict=request.verdict,
            session_id=request.session_id,
            floor_scores=request.floor_scores,
            output={
                "memory_band": memory_band,
                "eureka_sieve": ttl_assessment,  # Phase 9.4: Full TTL metadata
                "ledger_committed": True,
                "zkpc_receipt": request.zkpc_receipt,
            },
            next_stage="COMPLETE",
            latency_ms=latency_ms,
        )


# =============================================================================
# FASTAPI APPLICATION
# =============================================================================

app = FastAPI(title="arifOS VAULT Server", version="v49.0.0")
vault_server = VaultServer()


@app.get("/health")
async def health_check():
    """Health check endpoint."""
    return {
        "status": "healthy",
        "server": "VAULT",
        "version": "v49.0.0",
        "floors": vault_server.floors,
        "stages": vault_server.stages,
        "mcp_tools": len(vault_server.mcp_tools),
        "constitutional_floors_loaded": len(vault_server.constitutional_floors),
    }


@app.post("/init", response_model=VaultResponse)
async def initialize_session(request: VaultInitRequest):
    """Initialize new session (000 INIT)."""
    try:
        return await vault_server.process_000_init(request)
    except Exception as e:
        logger.error(f"Error in 000 INIT: {e}")
        raise HTTPException(status_code=500, detail=str(e))


@app.post("/store", response_model=VaultResponse)
async def store_session(request: VaultStoreRequest):
    """Store session result (999 VAULT)."""
    try:
        return await vault_server.process_999_vault(request)
    except Exception as e:
        logger.error(f"Error in 999 VAULT: {e}")
        raise HTTPException(status_code=500, detail=str(e))


# =============================================================================
# MCP TOOL PROXY (Phase 8.2 - Generic handler for all VAULT MCP tools)
# =============================================================================

@app.post("/mcp/{tool_name}")
async def execute_mcp_tool(tool_name: str, request: Dict[str, Any]):
    """
    Generic MCP tool executor for VAULT server.

    Phase 8.2: Proof-of-concept for 6 VAULT tools
    - vault_init (000 INIT)
    - vault_store (999 VAULT)
    - cooling_ledger_write (ledger commit)
    - zkpc_generate (zkPC receipt)
    - merkle_proof (Merkle tree proof)
    - memory_query (memory tower query)
    """
    import importlib
    import time
    start_time = time.time()

    try:
        tool_module_name = f"arifos_core.mcp.tools.mcp_{tool_name}"
        try:
            tool_module = importlib.import_module(tool_module_name)
        except ModuleNotFoundError:
            raise HTTPException(
                status_code=404,
                detail=f"MCP tool '{tool_name}' not found. Available: {', '.join(vault_server.mcp_tools)}"
            )

        if hasattr(tool_module, 'execute'):
            result = await tool_module.execute(request)
        elif hasattr(tool_module, tool_name):
            func = getattr(tool_module, tool_name)
            result = await func(request) if asyncio.iscoroutinefunction(func) else func(request)
        else:
            raise HTTPException(
                status_code=500,
                detail=f"Tool module '{tool_module_name}' has no execute() or {tool_name}() function"
            )

        latency_ms = (time.time() - start_time) * 1000

        return {
            "mcp_tool": tool_name,
            "result": result,
            "latency_ms": latency_ms,
            "server": "VAULT",
            "floors": vault_server.floors,
        }

    except Exception as e:
        logger.error(f"MCP tool '{tool_name}' error: {e}")
        raise HTTPException(status_code=500, detail=str(e))


if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=9000)
