"""
Extraction tools — NER, relation extraction, event detection, triplets.
"""

from __future__ import annotations

import logging
from typing import Any

from mcp.schemas import EXTRACT_ALL, EXTRACT_ENTITIES, EXTRACT_RELATIONS

log = logging.getLogger("semantica.mcp.tools.extraction")


def _clear_cache() -> None:
    try:
        from semantica.semantic_extract.cache import _result_cache
        _result_cache.clear()
    except Exception:
        log.debug("Could not clear semantic_extract cache; continuing", exc_info=True)


def handle_extract_entities(args: dict) -> dict:
    """Extract named entities from text using Semantica NER."""
    text = args.get("text", "").strip()
    if not text:
        return {"error": "text is required", "entities": []}
    _clear_cache()
    try:
        from semantica.semantic_extract import NamedEntityRecognizer
        entities = NamedEntityRecognizer().extract(text) or []
        return {
            "entities": [
                {
                    "label": getattr(e, "label", str(e)),
                    "type": getattr(e, "type", None),
                    "start": getattr(e, "start", None),
                    "end": getattr(e, "end", None),
                    "confidence": getattr(e, "confidence", None),
                }
                for e in entities
            ],
            "count": len(entities),
        }
    except Exception as exc:
        log.exception("extract_entities failed")
        return {"error": str(exc), "entities": []}


def handle_extract_relations(args: dict) -> dict:
    """Extract relations and triplets from text."""
    text = args.get("text", "").strip()
    if not text:
        return {"error": "text is required", "relations": [], "triplets": []}
    _clear_cache()
    try:
        from semantica.semantic_extract import NamedEntityRecognizer, RelationExtractor, TripletExtractor
        entities = NamedEntityRecognizer().extract(text) or []
        relations = RelationExtractor().extract(text, entities) or []
        triplets = TripletExtractor().extract(text) or []
        return {
            "relations": [
                {
                    "source": getattr(r, "source", None),
                    "type": getattr(r, "type", None),
                    "target": getattr(r, "target", None),
                    "confidence": getattr(r, "confidence", None),
                }
                for r in relations
            ],
            "triplets": [
                {
                    "subject": getattr(t, "subject", None),
                    "predicate": getattr(t, "predicate", None),
                    "object": getattr(t, "object", None),
                }
                for t in triplets
            ],
            "relation_count": len(relations),
            "triplet_count": len(triplets),
        }
    except Exception as exc:
        log.exception("extract_relations failed")
        return {"error": str(exc), "relations": [], "triplets": []}


def handle_extract_all(args: dict) -> dict:
    """Run the full extraction pipeline: NER + relations + events + triplets."""
    text = args.get("text", "").strip()
    if not text:
        return {"error": "text is required"}
    include_events = args.get("include_events", True)
    include_triplets = args.get("include_triplets", True)
    _clear_cache()
    result: dict[str, Any] = {}
    try:
        from semantica.semantic_extract import (
            CoreferenceResolver,
            EventDetector,
            NamedEntityRecognizer,
            RelationExtractor,
            TripletExtractor,
        )

        entities = NamedEntityRecognizer().extract(text) or []
        result["entities"] = [
            {"label": getattr(e, "label", str(e)), "type": getattr(e, "type", None)}
            for e in entities
        ]

        resolved = CoreferenceResolver().resolve(text)
        relations = RelationExtractor().extract(resolved, entities) or []
        result["relations"] = [
            {"source": getattr(r, "source", None),
             "type": getattr(r, "type", None),
             "target": getattr(r, "target", None)}
            for r in relations
        ]

        if include_events:
            events = EventDetector().extract(text) or []
            result["events"] = [
                {"type": getattr(ev, "type", None),
                 "trigger": getattr(ev, "trigger", str(ev))}
                for ev in events
            ]

        if include_triplets:
            triplets = TripletExtractor().extract(resolved) or []
            result["triplets"] = [
                {"subject": getattr(t, "subject", None),
                 "predicate": getattr(t, "predicate", None),
                 "object": getattr(t, "object", None)}
                for t in triplets
            ]

        result["summary"] = {
            "entities": len(result.get("entities", [])),
            "relations": len(result.get("relations", [])),
            "events": len(result.get("events", [])),
            "triplets": len(result.get("triplets", [])),
        }
        return result
    except Exception as exc:
        log.exception("extract_all failed")
        return {"error": str(exc)}


EXTRACTION_TOOLS = [
    {
        "name": "extract_entities",
        "description": "Extract named entities (people, places, organisations, concepts) from text.",
        "inputSchema": EXTRACT_ENTITIES,
        "_handler": handle_extract_entities,
    },
    {
        "name": "extract_relations",
        "description": "Extract relations and (subject, predicate, object) triplets from text.",
        "inputSchema": EXTRACT_RELATIONS,
        "_handler": handle_extract_relations,
    },
    {
        "name": "extract_all",
        "description": "Run the full Semantica extraction pipeline: NER, coreference resolution, relation extraction, event detection, and triplet generation.",
        "inputSchema": EXTRACT_ALL,
        "_handler": handle_extract_all,
    },
]