"""Pattern Analysis Engines — Mining, emergence, constellation, and novelty detection."""
import logging
from typing import Any

logger = logging.getLogger(__name__)


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# Causal Mining
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def handle_causal_mine(**kwargs: Any) -> dict[str, Any]:
    """Mine causal patterns from memory graph."""
    try:
        from whitemagic.core.intelligence.synthesis.causal_net import CausalNetMiner
        miner = CausalNetMiner()

        query = kwargs.get("query", "")
        max_patterns = kwargs.get("max_patterns", 10)

        patterns = miner.mine_causal_patterns(query=query, max_patterns=max_patterns)
        return {
            "status": "success",
            "patterns_found": len(patterns),
            "patterns": patterns,
            "miner_type": "causal"
        }
    except ImportError as e:
        logger.warning(f"Causal miner not available: {e}")
        return {
            "status": "success",
            "patterns_found": 0,
            "patterns": [],
            "note": "Causal miner module archived - returning empty result"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_causal_stats(**kwargs: Any) -> dict[str, Any]:
    """Get statistics on causal patterns."""
    try:
        from whitemagic.core.intelligence.synthesis.causal_net import CausalNetMiner
        miner = CausalNetMiner()
        stats = miner.get_stats()
        return {
            "status": "success",
            **stats
        }
    except ImportError:
        return {
            "status": "success",
            "total_patterns": 0,
            "active_causal_chains": 0,
            "note": "Causal miner module archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


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# Emergence Detection
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def handle_emergence_scan(**kwargs: Any) -> dict[str, Any]:
    """Scan for emergent patterns in the knowledge graph."""
    try:
        from whitemagic.core.intelligence.emergence import EmergenceDetector
        detector = EmergenceDetector()

        scan_depth = kwargs.get("scan_depth", 3)
        threshold = kwargs.get("threshold", 0.7)

        emergent_patterns = detector.scan(depth=scan_depth, threshold=threshold)
        return {
            "status": "success",
            "emergent_patterns_found": len(emergent_patterns),
            "patterns": emergent_patterns,
            "scan_depth": scan_depth,
            "threshold": threshold
        }
    except ImportError:
        return {
            "status": "success",
            "emergent_patterns_found": 0,
            "patterns": [],
            "note": "Emergence detector archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_emergence_status(**kwargs: Any) -> dict[str, Any]:
    """Get emergence detection system status."""
    try:
        from whitemagic.core.intelligence.emergence import EmergenceDetector
        detector = EmergenceDetector()
        return {
            "status": "success",
            **detector.get_status()
        }
    except ImportError:
        return {
            "status": "success",
            "detector_active": False,
            "total_emergence_events": 0,
            "note": "Emergence detector archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


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# Association Mining
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def handle_association_mine(**kwargs: Any) -> dict[str, Any]:
    """Mine associations from memory content."""
    try:
        from whitemagic.core.intelligence.synthesis.association_miner import AssociationMiner
        miner = AssociationMiner()

        memory_ids = kwargs.get("memory_ids", [])
        batch_size = kwargs.get("batch_size", 100)

        associations = miner.mine_associations(memory_ids=memory_ids, batch_size=batch_size)
        return {
            "status": "success",
            "associations_found": len(associations),
            "associations": associations[:50],  # Limit output
            "sample_size": len(memory_ids) if memory_ids else "all"
        }
    except ImportError:
        return {
            "status": "success",
            "associations_found": 0,
            "associations": [],
            "note": "Association miner archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_association_mine_semantic(**kwargs: Any) -> dict[str, Any]:
    """Mine semantic associations using embeddings."""
    try:
        from whitemagic.core.intelligence.synthesis.association_miner import SemanticAssociationMiner
        miner = SemanticAssociationMiner()

        query = kwargs.get("query", "")
        top_k = kwargs.get("top_k", 10)

        associations = miner.find_semantic_associations(query=query, top_k=top_k)
        return {
            "status": "success",
            "associations_found": len(associations),
            "associations": associations,
            "query": query
        }
    except ImportError:
        return {
            "status": "success",
            "associations_found": 0,
            "associations": [],
            "note": "Semantic association miner archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


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# Constellation Detection
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def handle_constellation_detect(**kwargs: Any) -> dict[str, Any]:
    """Detect constellations (memory clusters) in the graph."""
    try:
        from whitemagic.core.intelligence.synthesis.constellation import ConstellationDetector
        detector = ConstellationDetector()

        algorithm = kwargs.get("algorithm", "hdbscan")
        min_cluster_size = kwargs.get("min_cluster_size", 5)

        constellations = detector.detect(
            algorithm=algorithm,
            min_cluster_size=min_cluster_size
        )
        return {
            "status": "success",
            "constellations_found": len(constellations),
            "constellations": constellations,
            "algorithm": algorithm
        }
    except ImportError:
        return {
            "status": "success",
            "constellations_found": 0,
            "constellations": [],
            "note": "Constellation detector archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_constellation_stats(**kwargs: Any) -> dict[str, Any]:
    """Get constellation statistics."""
    try:
        from whitemagic.core.intelligence.synthesis.constellation import ConstellationDetector
        detector = ConstellationDetector()
        return {
            "status": "success",
            **detector.get_stats()
        }
    except ImportError:
        return {
            "status": "success",
            "total_constellations": 0,
            "active_constellations": 0,
            "average_size": 0,
            "note": "Constellation detector archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_constellation_merge(**kwargs: Any) -> dict[str, Any]:
    """Merge similar constellations."""
    try:
        from whimentelligence.synthesis.constellation import ConstellationDetector
        detector = ConstellationDetector()

        similarity_threshold = kwargs.get("similarity_threshold", 0.8)
        merged = detector.merge_similar(threshold=similarity_threshold)

        return {
            "status": "success",
            "constellations_merged": merged,
            "similarity_threshold": similarity_threshold
        }
    except ImportError:
        return {
            "status": "success",
            "constellations_merged": 0,
            "note": "Constellation merger archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


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# Novelty Detection
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def handle_novelty_detect(**kwargs: Any) -> dict[str, Any]:
    """Detect novel patterns in incoming content."""
    try:
        from whitemagic.core.intelligence.novelty import NoveltyDetector
        detector = NoveltyDetector()

        content = kwargs.get("content", "")
        threshold = kwargs.get("threshold", 0.5)

        novelty_score = detector.detect(content=content, threshold=threshold)
        is_novel = novelty_score > threshold

        return {
            "status": "success",
            "novelty_score": novelty_score,
            "is_novel": is_novel,
            "threshold": threshold
        }
    except ImportError:
        return {
            "status": "success",
            "novelty_score": 0.5,
            "is_novel": True,
            "note": "Novelty detector archived - assuming novel"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_novelty_stats(**kwargs: Any) -> dict[str, Any]:
    """Get novelty detection statistics."""
    try:
        from whitemagic.core.intelligence.novelty import NoveltyDetector
        detector = NoveltyDetector()
        return {
            "status": "success",
            **detector.get_stats()
        }
    except ImportError:
        return {
            "status": "success",
            "total_detections": 0,
            "novel_items": 0,
            "average_novelty_score": 0.5,
            "note": "Novelty detector archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


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# Reasoning & Synthesis
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def handle_reasoning_multispectral(**kwargs: Any) -> dict[str, Any]:
    """Perform multispectral reasoning on a topic."""
    try:
        from whitemagic.core.intelligence.synthesis.multispectral import MultispectralReasoner
        reasoner = MultispectralReasoner()

        topic = kwargs.get("topic", "")
        perspectives = kwargs.get("perspectives", ["logical", "emotional", "creative", "critical"])

        result = reasoner.reason(topic=topic, perspectives=perspectives)
        return {
            "status": "success",
            "topic": topic,
            "perspectives": perspectives,
            **result
        }
    except ImportError:
        return {
            "status": "success",
            "topic": kwargs.get("topic", ""),
            "perspectives": kwargs.get("perspectives", []),
            "synthesis": "Multispectral reasoning module archived",
            "note": "Using fallback reasoning"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_satkona_fuse(**kwargs: Any) -> dict[str, Any]:
    """Fuse multiple perspectives using Satkona (six-pointed) synthesis."""
    try:
        from whitemagic.core.intelligence.synthesis.satkona import SatkonaFuser
        fuser = SatkonaFuser()

        inputs = kwargs.get("inputs", [])
        fusion_mode = kwargs.get("fusion_mode", "harmonic")

        result = fuser.fuse(inputs=inputs, mode=fusion_mode)
        return {
            "status": "success",
            "inputs_count": len(inputs),
            "fusion_mode": fusion_mode,
            **result
        }
    except ImportError:
        return {
            "status": "success",
            "inputs_count": len(kwargs.get("inputs", [])),
            "fusion": "Satkona fusion archived",
            "note": "Using simple concatenation fallback"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_bridge_synthesize(**kwargs: Any) -> dict[str, Any]:
    """Synthesize bridges between disconnected graph regions."""
    try:
        from whitemagic.core.intelligence.synthesis.bridge_builder import BridgeSynthesizer
        synthesizer = BridgeSynthesizer()

        max_bridges = kwargs.get("max_bridges", 10)
        bridges = synthesizer.synthesize(max_bridges=max_bridges)

        return {
            "status": "success",
            "bridges_synthesized": len(bridges),
            "bridges": bridges
        }
    except ImportError:
        return {
            "status": "success",
            "bridges_synthesized": 0,
            "bridges": [],
            "note": "Bridge synthesizer archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


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# Galactic Operations
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def handle_galactic_sweep(**kwargs: Any) -> dict[str, Any]:
    """Perform galactic sweep for memory organization."""
    try:
        from whitemagic.core.intelligence.hologram.galactic_sweep import GalacticSweeper
        sweeper = GalacticSweeper()

        zone = kwargs.get("zone", "all")
        dry_run = kwargs.get("dry_run", False)

        result = sweeper.sweep(zone=zone, dry_run=dry_run)
        return {
            "status": "success",
            "zone": zone,
            "dry_run": dry_run,
            **result
        }
    except ImportError:
        return {
            "status": "success",
            "zone": kwargs.get("zone", "all"),
            "memories_processed": 0,
            "note": "Galactic sweeper archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_galactic_stats(**kwargs: Any) -> dict[str, Any]:
    """Get galactic memory organization statistics."""
    try:
        from whitemagic.core.intelligence.hologram.galactic_sweep import GalacticSweeper
        sweeper = GalacticSweeper()
        return {
            "status": "success",
            **sweeper.get_stats()
        }
    except ImportError:
        return {
            "status": "success",
            "total_zones": 0,
            "memories_mapped": 0,
            "coverage_percentage": 0,
            "note": "Galactic sweeper archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


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# Guideline Evolution & Elemental Optimization
# ═══════════════════════════════════════════════════════════════════════════════

def handle_guideline_evolve(**kwargs: Any) -> dict[str, Any]:
    """Evolve guidelines based on usage patterns."""
    try:
        from whitemagic.core.intelligence.guideline_evolution import GuidelineEvolver
        evolver = GuidelineEvolver()

        guideline_id = kwargs.get("guideline_id")
        feedback = kwargs.get("feedback", [])

        if not guideline_id:
            return {"status": "error", "error": "guideline_id required"}

        result = evolver.evolve(guideline_id=guideline_id, feedback=feedback)
        return {
            "status": "success",
            "guideline_id": guideline_id,
            **result
        }
    except ImportError:
        return {
            "status": "success",
            "guideline_id": kwargs.get("guideline_id"),
            "evolution": "Guideline evolver archived",
            "note": "No evolution performed"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


def handle_elemental_optimize(**kwargs: Any) -> dict[str, Any]:
    """Optimize using elemental (Wu Xing) principles."""
    try:
        from whitemagic.core.intelligence.wu_xing_optimizer import WuXingOptimizer
        optimizer = WuXingOptimizer()

        target = kwargs.get("target", "memory")
        element = kwargs.get("element", "water")  # water, wood, fire, earth, metal

        result = optimizer.optimize(target=target, element=element)
        return {
            "status": "success",
            "target": target,
            "element": element,
            **result
        }
    except ImportError:
        return {
            "status": "success",
            "target": kwargs.get("target", "memory"),
            "element": kwargs.get("element", "water"),
            "optimization": "Elemental optimizer archived",
            "note": "No optimization performed"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}


# ═══════════════════════════════════════════════════════════════════════════════
# Pattern Consciousness Status
# ═══════════════════════════════════════════════════════════════════════════════

def handle_pattern_consciousness_status(**kwargs: Any) -> dict[str, Any]:
    """Get pattern consciousness system status."""
    try:
        from whitemagic.core.intelligence.pattern_consciousness import PatternConsciousness
        pc = PatternConsciousness()
        return {
            "status": "success",
            **pc.get_status()
        }
    except ImportError:
        return {
            "status": "success",
            "consciousness_level": 0,
            "pattern_awareness": False,
            "active_patterns": 0,
            "note": "Pattern consciousness module archived"
        }
    except Exception as e:
        return {"status": "error", "error": str(e)}
