"""Miscellaneous tool handlers — stubs, capabilities, immune, oracle, intelligence, metrics, grimoire, memory aliases, hologram, utility."""
import logging
from typing import Any

logger = logging.getLogger(__name__)


def _stub(tool_name: str, **preview: Any) -> dict[str, Any]:
    """Return a not-implemented stub response."""
    return {
        "status": "success",
        "error_code": "not_implemented",
        "message": f"{tool_name} is a stub — not yet implemented",
        **preview,
    }


def _emit(event_type: str, data: dict[str, Any]) -> None:
    from whitemagic.tools.unified_api import _emit_gan_ying
    _emit_gan_ying(event_type, data)


def _ensure_result_dict(result: Any, context: str) -> dict[str, Any]:
    """Normalize bridge/helper outputs to the tool-contract dict shape."""
    if isinstance(result, dict):
        return result
    return {
        "status": "error",
        "error": f"{context} returned non-dict response",
        "result_type": type(result).__name__,
    }


# --- Agent Capabilities ---
def handle_get_agent_capabilities(**kwargs: Any) -> dict[str, Any]:
    return {
        "status": "success",
        "message": "WhiteMagic Agent Capabilities Registry",
        "version": "5.0.0 (Ultimate Yin)",
        "categories": {
            "Memory": {
                "description": "Store, recall, and manage 4D holographic memories.",
                "tools": ["create_memory", "memory_search", "memory_read", "batch_read_memories", "memory_update"],
            },
            "Archaeology": {
                "description": "Scan the filesystem, track read/write history, and find new files.",
                "tools": ["archaeology_scan_directory", "archaeology_read_file", "archaeology_mark_written"],
            },
            "Intelligence": {
                "description": "Advanced reasoning, I Ching divination, and pattern detection.",
                "tools": ["consult_full_council", "detect_patterns", "consult_iching", "run_kaizen_analysis"],
            },
            "Resonance": {
                "description": "Interact with the Gan Ying event bus and Garden system.",
                "tools": ["garden_activate", "ganying_emit", "manage_gardens", "record_yin_yang_activity"],
            },
        },
        "recommended_workflow": [
            "1. Use 'get_agent_capabilities' to verify available tools.",
            "2. Use 'archaeology_scan_directory' to map your environment.",
            "3. Use 'batch_read_memories' to ingest relevant context.",
            "4. Use 'memory_search' to recall specific facts.",
            "5. Use 'create_memory' to persist your findings.",
        ],
    }


# --- Immune ---
def handle_immune_scan(**kwargs: Any) -> dict[str, Any]:
    try:
        from pathlib import Path

        from whitemagic.core.immune.defense.autoimmune import get_immune_system
        immune = get_immune_system()
        directory = kwargs.get("directory", ".")
        violations = immune.scan_directory(Path(directory), min_confidence=0.7)
        return {
            "status": "success",
            "threats": len(violations),
            "violations": [
                {
                    "file": str(v.file_path),
                    "line": v.line_number,
                    "pattern": v.pattern.name if hasattr(v.pattern, "name") else str(v.pattern),
                    "matched_text": v.matched_text[:100],
                }
                for v in violations[:20]
            ],
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_immune_heal(**kwargs: Any) -> dict[str, Any]:
    try:
        from pathlib import Path

        from whitemagic.core.immune.defense.autoimmune import AutoimmuneSystemExtended
        immune = AutoimmuneSystemExtended()
        directory = kwargs.get("directory", ".")
        violations = immune.scan_directory(Path(directory), min_confidence=0.9)
        healed = immune.auto_heal(violations)
        return {"status": "success", "healed_count": healed, "scanned_violations": len(violations)}
    except Exception as e:
        return {"status": "error", "error": str(e)}


# --- Symbolic / Oracle ---
def handle_cast_oracle(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.core.intelligence.wisdom.i_ching import get_i_ching
        oracle = get_i_ching()
        question = kwargs.get("question", "What guidance do you offer?")
        hexagram = oracle.cast_hexagram(question)
        return {
            "status": "success",
            "hexagram": hexagram.number,
            "name": getattr(hexagram, "name", "Unknown"),
            "chinese": getattr(hexagram, "chinese", ""),
            "judgment": getattr(hexagram, "judgment", ""),
            "guidance": getattr(hexagram, "guidance", ""),
            "question": question,
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_wu_xing_balance(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.core.intelligence.wisdom.wu_xing import get_wu_xing
        wu_xing = get_wu_xing()
        balance = wu_xing.check_balance()
        phase = wu_xing.detect_current_phase()
        return {
            "status": "success",
            "balance": {str(k): v for k, v in balance.items()} if isinstance(balance, dict) else balance,
            "current_phase": str(phase),
            "optimization": wu_xing.suggest_optimization(phase),
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


# --- Metrics ---
def handle_track_metric(**kwargs: Any) -> dict[str, Any]:
    from whitemagic.core.bridge.metrics import track_metric
    return _ensure_result_dict(track_metric(**kwargs), "track_metric")


def handle_get_metrics_summary(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.core.bridge.metrics import get_metrics_summary
        return _ensure_result_dict(get_metrics_summary(**kwargs), "get_metrics_summary")
    except ImportError:
        return {
            "status": "success",
            "metrics": {},
            "total_metrics": 0,
            "timeframe": kwargs.get("timeframe", "session"),
            "note": "Metrics module archived - no metrics available"
        }


# --- Intelligence ---
def handle_execute_cascade(**kwargs: Any) -> dict[str, Any]:
    from whitemagic.core.bridge.tools import execute_cascade
    # Fallback for verifier/no-arg calls
    if "pattern_name" not in kwargs:
        kwargs["pattern_name"] = "list"
    if "context" not in kwargs:
        kwargs["context"] = {}
    return _ensure_result_dict(execute_cascade(**kwargs), "execute_cascade")


def handle_thought_clone(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.tools.handlers.memory import handle_create_memory
        prompt = kwargs.get("prompt", "")
        count = int(kwargs.get("count", 1))
        results: list[str] = []
        for i in range(min(count, 5)):
            result = handle_create_memory(
                content=f"Thought clone #{i+1}: {prompt}",
                title=f"clone_{i+1}",
                tags=["thought_clone"],
                type="short_term",
            )
            results.append(result.get("details", {}).get("filename", f"clone_{i+1}"))
        return {"status": "success", "clones_created": len(results), "clone_ids": results}
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_coherence_boost(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.core.consciousness.coherence import get_coherence_metric
        coherence = get_coherence_metric()
        score = coherence.measure()
        report = coherence.get_report()
        level = coherence.get_coherence_level()
        return {"status": "success", "coherence_score": score, "level": level, "report": report}
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_anti_loop_check(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.core.intelligence.agentic.anti_loop import get_anti_loop
        detector = get_anti_loop()
        circuit_open = detector.is_circuit_open()
        stats = detector.get_stats()
        return {
            "status": "success",
            "loops_detected": 1 if circuit_open else 0,
            "circuit_breaker": "OPEN" if circuit_open else "CLOSED",
            "stats": stats,
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_token_report(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.core.token_economy import get_token_economy
        economy = get_token_economy()
        try:
            budget_status = economy.get_budget_status()
            return {"status": "success", **budget_status}
        except Exception as budget_err:
            logger.error(f"Error getting budget status: {budget_err}")
            return {
                "status": "success",
                "total_budget": getattr(economy, "total_budget", 200000),
                "tokens_used": getattr(economy, "tokens_used", 0),
                "error": str(budget_err),
                "note": "Budget status retrieval partially failed"
            }
    except Exception as e:
        logger.error(f"Token economy initialization failed: {e}")
        return {"status": "error", "error": str(e)}


# --- Grimoire ---
def handle_grimoire_list(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.core.alignment.grimoire_audit import get_auditor
        auditor = get_auditor()
        report = auditor.generate_capability_report()
        return {"status": "success", **report}
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_grimoire_read(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.core.alignment.grimoire_audit import get_auditor
        auditor = get_auditor()
        spells = auditor.audit()
        category = kwargs.get("chapter", kwargs.get("category", ""))
        if category:
            spells = [s for s in spells if s.category == category]
        return {
            "status": "success",
            "count": len(spells),
            "spells": [
                {"id": s.id, "name": s.name, "path": str(s.path), "category": s.category}
                for s in spells[:50]
            ],
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


# --- Utility ---
def handle_focus_session(**kwargs: Any) -> dict[str, Any]:
    task = kwargs.get("task", "")
    duration = kwargs.get("duration", 25)
    _emit("FLOW_STATE_ENTERED", {"task": task, "duration_minutes": duration})
    return {"status": "success", "focus_started": True, "task": task}


def handle_capability_harness(**kwargs: Any) -> dict[str, Any]:
    try:
        from whitemagic.maintenance.capability_harness import CapabilityHarness
        harness = CapabilityHarness()
        report = harness.run_all_combos()
        return {
            "status": "success",
            "tests_run": len(report.results),
            "passed": report.passed,
            "failed": report.failed,
            "combos": [
                {
                    "name": r.name,
                    "success": r.success,
                    "duration_ms": r.duration_ms,
                    "error": r.error,
                }
                for r in report.results
            ],
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


# --- Hologram ---
def handle_view_hologram(**kwargs: Any) -> dict[str, Any]:
    from whitemagic.core.intelligence.hologram.engine import get_hologram_engine
    engine = get_hologram_engine()
    operation = kwargs.get("operation", "snapshot")
    if operation == "status":
        return {"status": "success", "engine_stats": engine.get_stats()}
    if not engine.enabled:
        return {"status": "error", "message": "Hologram engine not enabled (Rust backend missing)"}
    if operation == "snapshot":
        spatial_index = getattr(engine, "spatial_index", None)
        if spatial_index is None:
            return {"status": "error", "message": "Spatial index not available"}
        try:
            snapshot = spatial_index.get_snapshot()
            points = [{"id": pid, "vector": list(vec)} for pid, vec in snapshot]
            return {"status": "success", "count": len(points), "points": points}
        except Exception as e:
            return {"status": "error", "message": str(e)}
    elif operation == "query":
        x = kwargs.get("x", 0.0)
        y = kwargs.get("y", 0.0)
        z = kwargs.get("z", 0.0)
        w = kwargs.get("w", 0.5)
        limit = kwargs.get("limit", 10)
        vector = [float(x), float(y), float(z), float(w)]
        results = engine.query_by_vector(vector, limit=limit)
        formatted = [{"id": pid, "distance": dist} for pid, dist in results]
        return {"status": "success", "query": vector, "results": formatted}
    return {"status": "error", "message": f"Unknown operation: {operation}"}


# --- Memory aliases ---
def handle_read_memory(**kwargs: Any) -> dict[str, Any]:
    from whitemagic.core.bridge.memory import memory_read

    return _ensure_result_dict(memory_read(**kwargs), "memory_read")


def handle_list_memories(**kwargs: Any) -> dict[str, Any]:
    """List recent memories."""
    from whitemagic.core.memory.unified import get_unified_memory

    limit = int(kwargs.get("limit", 20))
    memory_type = kwargs.get("memory_type") or kwargs.get("type")

    um = get_unified_memory()

    # Get recent memories from backend
    memories = um.backend.list_recent(limit=limit, memory_type=memory_type)

    # Convert to dict format
    results = []
    for mem in memories:
        results.append({
            "id": mem.id,
            "title": mem.title or "Untitled",
            "content": (mem.content[:200] + "..." if len(mem.content) > 200 else mem.content) if mem.content else "",
            "memory_type": mem.memory_type,
            "created_at": mem.created_at,
            "importance": mem.importance,
        })

    return {"status": "success", "results": results, "count": len(results)}


def handle_update_memory(**kwargs: Any) -> dict[str, Any]:
    from whitemagic.core.bridge.memory import memory_update

    updates = kwargs.pop("updates", None)
    if isinstance(updates, dict):
        merged_kwargs = {**updates, **kwargs}
    else:
        merged_kwargs = kwargs

    return _ensure_result_dict(memory_update(**merged_kwargs), "memory_update")


def handle_delete_memory(**kwargs: Any) -> dict[str, Any]:
    from whitemagic.core.bridge.memory import memory_delete

    return _ensure_result_dict(memory_delete(**kwargs), "memory_delete")


# --- Optimization ---
def handle_solve_optimization(**kwargs: Any) -> dict[str, Any]:
    nodes = kwargs.pop("nodes", [])
    edges = kwargs.pop("edges", [])
    scores = kwargs.pop("scores", {})
    from whitemagic.core.bridge.optimization import solve_optimization
    return _ensure_result_dict(
        solve_optimization(nodes=nodes, edges=edges, scores=scores, **kwargs),
        "solve_optimization",
    )
