"""Read-only tools a playbook can call during chat.

Ollama drives the calling: `/api/chat` with a `tools` param returns
`message.tool_calls`, and this module is just the registry + dispatch. Every
tool here only READS local state (SQLite, Ollama) — no side effects. The
per-playbook allowlist (`PlaybookItem.tools`) is the security boundary; keep the
registry read-only until the loop is trusted.
"""
from __future__ import annotations

import json
from typing import Awaitable, Callable

from .memory.store import store
from .ollama_manager import get_ollama_manager


async def _search_memory(query: str = "", **_) -> str:
    q = (query or "").strip().lower()
    hits = [
        {"section": it.section, "text": it.text}
        for it in store.all()
        if not q
        or q in it.text.lower()
        or q in (it.section or "").lower()
        or any(q in t.lower() for t in it.tags)
    ]
    return json.dumps(hits[:20])


async def _search_history(query: str = "", **_) -> str:
    # Hybrid recall: semantic (embeddings) unioned with lexical, falls back to
    # lexical if embeddings are down. Same retrieval the chat endpoint uses.
    convs = await store.semantic_search_conversations(
        query or "", get_ollama_manager().embed, limit=3
    )
    return json.dumps([{"matches": c.get("matches", [])} for c in convs])


async def _list_models(**_) -> str:
    return json.dumps(await get_ollama_manager().list_models())


async def _search_documents(query: str = "", **_) -> str:
    hits = await store.search_documents(query or "", get_ollama_manager().embed, limit=3)
    return json.dumps([{"title": h["title"], "text": h["text"]} for h in hits])


async def _get_time(**_) -> str:
    from datetime import datetime
    return json.dumps({"now": datetime.now().isoformat(timespec="seconds")})


# name -> (schema, callable). Schema is the OpenAI/Ollama function-tool format.
REGISTRY: dict[str, tuple[dict, Callable[..., Awaitable[str]]]] = {
    "search_memory": (
        {
            "type": "function",
            "function": {
                "name": "search_memory",
                "description": "Search the user's persistent memory facts. Empty query returns all facts.",
                "parameters": {
                    "type": "object",
                    "properties": {"query": {"type": "string", "description": "text to match"}},
                },
            },
        },
        _search_memory,
    ),
    "search_history": (
        {
            "type": "function",
            "function": {
                "name": "search_history",
                "description": "Search past conversations for exchanges containing the query text.",
                "parameters": {
                    "type": "object",
                    "properties": {"query": {"type": "string"}},
                    "required": ["query"],
                },
            },
        },
        _search_history,
    ),
    "list_models": (
        {
            "type": "function",
            "function": {
                "name": "list_models",
                "description": "List the locally installed Ollama models.",
                "parameters": {"type": "object", "properties": {}},
            },
        },
        _list_models,
    ),
    "search_documents": (
        {
            "type": "function",
            "function": {
                "name": "search_documents",
                "description": "Search the user's uploaded documents for relevant passages.",
                "parameters": {
                    "type": "object",
                    "properties": {"query": {"type": "string"}},
                    "required": ["query"],
                },
            },
        },
        _search_documents,
    ),
    "get_time": (
        {
            "type": "function",
            "function": {
                "name": "get_time",
                "description": "Get the current local date and time.",
                "parameters": {"type": "object", "properties": {}},
            },
        },
        _get_time,
    ),
}


def schemas_for(names: list[str]) -> list[dict]:
    """Tool schemas for a playbook's allowlist; unknown names are dropped."""
    return [REGISTRY[n][0] for n in (names or []) if n in REGISTRY]


async def dispatch(name: str, args: dict | None) -> str:
    """Run a tool by name. Never raises — returns an error string on failure."""
    entry = REGISTRY.get(name)
    if not entry:
        return json.dumps({"error": f"unknown tool: {name}"})
    try:
        return await entry[1](**(args or {}))
    except Exception as e:  # a broken tool must not kill the chat loop
        return json.dumps({"error": f"{name} failed: {e}"})