tools/registry.py

"""Central registry for all hermes-agent tools.

Each tool file calls ``registry.register()`` at module level to declare its
schema, handler, toolset membership, and availability check.  ``model_tools.py``
queries the registry instead of maintaining its own parallel data structures.

Import chain (circular-import safe):
    tools/registry.py  (no imports from model_tools or tool files)
           ^
    tools/*.py  (import from tools.registry at module level)
           ^
    model_tools.py  (imports tools.registry + all tool modules)
           ^
    run_agent.py, cli.py, batch_runner.py, etc.
"""

import json
import logging
from typing import Callable, Dict, List, Optional, Set

logger = logging.getLogger(__name__)


class ToolEntry:
    """Metadata for a single registered tool."""

    __slots__ = (
        "name", "toolset", "schema", "handler", "check_fn",
        "requires_env", "is_async", "description", "emoji",
        "max_result_size_chars",
    )

    def __init__(self, name, toolset, schema, handler, check_fn,
                 requires_env, is_async, description, emoji,
                 max_result_size_chars=None):
        self.name = name
        self.toolset = toolset
        self.schema = schema
        self.handler = handler
        self.check_fn = check_fn
        self.requires_env = requires_env
        self.is_async = is_async
        self.description = description
        self.emoji = emoji
        self.max_result_size_chars = max_result_size_chars


class ToolRegistry:
    """Singleton registry that collects tool schemas + handlers from tool files."""

    def __init__(self):
        self._tools: Dict[str, ToolEntry] = {}
        self._toolset_checks: Dict[str, Callable] = {}

    # ------------------------------------------------------------------
    # Registration
    # ------------------------------------------------------------------

    def register(
        self,
        name: str,
        toolset: str,
        schema: dict,
        handler: Callable,
        check_fn: Callable = None,
        requires_env: list = None,
        is_async: bool = False,
        description: str = "",
        emoji: str = "",
        max_result_size_chars: int | float | None = None,
    ):
        """Register a tool.  Called at module-import time by each tool file."""
        existing = self._tools.get(name)
        if existing and existing.toolset != toolset:
            logger.warning(
                "Tool name collision: '%s' (toolset '%s') is being "
                "overwritten by toolset '%s'",
                name, existing.toolset, toolset,
            )
        self._tools[name] = ToolEntry(
            name=name,
            toolset=toolset,
            schema=schema,
            handler=handler,
            check_fn=check_fn,
            requires_env=requires_env or [],
            is_async=is_async,
            description=description or schema.get("description", ""),
            emoji=emoji,
            max_result_size_chars=max_result_size_chars,
        )
        if check_fn and toolset not in self._toolset_checks:
            self._toolset_checks[toolset] = check_fn

    def deregister(self, name: str) -> None:
        """Remove a tool from the registry.

        Also cleans up the toolset check if no other tools remain in the
        same toolset.  Used by MCP dynamic tool discovery to nuke-and-repave
        when a server sends ``notifications/tools/list_changed``.
        """
        entry = self._tools.pop(name, None)
        if entry is None:
            return
        # Drop the toolset check if this was the last tool in that toolset
        if entry.toolset in self._toolset_checks and not any(
            e.toolset == entry.toolset for e in self._tools.values()
        ):
            self._toolset_checks.pop(entry.toolset, None)
        logger.debug("Deregistered tool: %s", name)

    # ------------------------------------------------------------------
    # Schema retrieval
    # ------------------------------------------------------------------

    def get_definitions(self, tool_names: Set[str], quiet: bool = False) -> List[dict]:
        """Return OpenAI-format tool schemas for the requested tool names.

        Only tools whose ``check_fn()`` returns True (or have no check_fn)
        are included.
        """
        result = []
        check_results: Dict[Callable, bool] = {}
        for name in sorted(tool_names):
            entry = self._tools.get(name)
            if not entry:
                continue
            if entry.check_fn:
                if entry.check_fn not in check_results:
                    try:
                        check_results[entry.check_fn] = bool(entry.check_fn())
                    except Exception:
                        check_results[entry.check_fn] = False
                        if not quiet:
                            logger.debug("Tool %s check raised; skipping", name)
                if not check_results[entry.check_fn]:
                    if not quiet:
                        logger.debug("Tool %s unavailable (check failed)", name)
                    continue
            # Ensure schema always has a "name" field — use entry.name as fallback
            schema_with_name = {**entry.schema, "name": entry.name}
            result.append({"type": "function", "function": schema_with_name})
        return result

    # ------------------------------------------------------------------
    # Dispatch
    # ------------------------------------------------------------------

    def dispatch(self, name: str, args: dict, **kwargs) -> str:
        """Execute a tool handler by name.

        * Async handlers are bridged automatically via ``_run_async()``.
        * All exceptions are caught and returned as ``{"error": "..."}``
          for consistent error format.
        """
        entry = self._tools.get(name)
        if not entry:
            return json.dumps({"error": f"Unknown tool: {name}"})
        try:
            if entry.is_async:
                from model_tools import _run_async
                return _run_async(entry.handler(args, **kwargs))
            return entry.handler(args, **kwargs)
        except Exception as e:
            logger.exception("Tool %s dispatch error: %s", name, e)
            return json.dumps({"error": f"Tool execution failed: {type(e).__name__}: {e}"})

    # ------------------------------------------------------------------
    # Query helpers  (replace redundant dicts in model_tools.py)
    # ------------------------------------------------------------------

    def get_max_result_size(self, name: str, default: int | float | None = None) -> int | float:
        """Return per-tool max result size, or *default* (or global default)."""
        entry = self._tools.get(name)
        if entry and entry.max_result_size_chars is not None:
            return entry.max_result_size_chars
        if default is not None:
            return default
        from tools.budget_config import DEFAULT_RESULT_SIZE_CHARS
        return DEFAULT_RESULT_SIZE_CHARS

    def get_all_tool_names(self) -> List[str]:
        """Return sorted list of all registered tool names."""
        return sorted(self._tools.keys())

    def get_schema(self, name: str) -> Optional[dict]:
        """Return a tool's raw schema dict, bypassing check_fn filtering.

        Useful for token estimation and introspection where availability
        doesn't matter — only the schema content does.
        """
        entry = self._tools.get(name)
        return entry.schema if entry else None

    def get_toolset_for_tool(self, name: str) -> Optional[str]:
        """Return the toolset a tool belongs to, or None."""
        entry = self._tools.get(name)
        return entry.toolset if entry else None

    def get_emoji(self, name: str, default: str = "⚡") -> str:
        """Return the emoji for a tool, or *default* if unset."""
        entry = self._tools.get(name)
        return (entry.emoji if entry and entry.emoji else default)

    def get_tool_to_toolset_map(self) -> Dict[str, str]:
        """Return ``{tool_name: toolset_name}`` for every registered tool."""
        return {name: e.toolset for name, e in self._tools.items()}

    def is_toolset_available(self, toolset: str) -> bool:
        """Check if a toolset's requirements are met.

        Returns False (rather than crashing) when the check function raises
        an unexpected exception (e.g. network error, missing import, bad config).
        """
        check = self._toolset_checks.get(toolset)
        if not check:
            return True
        try:
            return bool(check())
        except Exception:
            logger.debug("Toolset %s check raised; marking unavailable", toolset)
            return False

    def check_toolset_requirements(self) -> Dict[str, bool]:
        """Return ``{toolset: available_bool}`` for every toolset."""
        toolsets = set(e.toolset for e in self._tools.values())
        return {ts: self.is_toolset_available(ts) for ts in sorted(toolsets)}

    def get_available_toolsets(self) -> Dict[str, dict]:
        """Return toolset metadata for UI display."""
        toolsets: Dict[str, dict] = {}
        for entry in self._tools.values():
            ts = entry.toolset
            if ts not in toolsets:
                toolsets[ts] = {
                    "available": self.is_toolset_available(ts),
                    "tools": [],
                    "description": "",
                    "requirements": [],
                }
            toolsets[ts]["tools"].append(entry.name)
            if entry.requires_env:
                for env in entry.requires_env:
                    if env not in toolsets[ts]["requirements"]:
                        toolsets[ts]["requirements"].append(env)
        return toolsets

    def get_toolset_requirements(self) -> Dict[str, dict]:
        """Build a TOOLSET_REQUIREMENTS-compatible dict for backward compat."""
        result: Dict[str, dict] = {}
        for entry in self._tools.values():
            ts = entry.toolset
            if ts not in result:
                result[ts] = {
                    "name": ts,
                    "env_vars": [],
                    "check_fn": self._toolset_checks.get(ts),
                    "setup_url": None,
                    "tools": [],
                }
            if entry.name not in result[ts]["tools"]:
                result[ts]["tools"].append(entry.name)
            for env in entry.requires_env:
                if env not in result[ts]["env_vars"]:
                    result[ts]["env_vars"].append(env)
        return result

    def check_tool_availability(self, quiet: bool = False):
        """Return (available_toolsets, unavailable_info) like the old function."""
        available = []
        unavailable = []
        seen = set()
        for entry in self._tools.values():
            ts = entry.toolset
            if ts in seen:
                continue
            seen.add(ts)
            if self.is_toolset_available(ts):
                available.append(ts)
            else:
                unavailable.append({
                    "name": ts,
                    "env_vars": entry.requires_env,
                    "tools": [e.name for e in self._tools.values() if e.toolset == ts],
                })
        return available, unavailable


# Module-level singleton
registry = ToolRegistry()


# ---------------------------------------------------------------------------
# Helpers for tool response serialization
# ---------------------------------------------------------------------------
# Every tool handler must return a JSON string.  These helpers eliminate the
# boilerplate ``json.dumps({"error": msg}, ensure_ascii=False)`` that appears
# hundreds of times across tool files.
#
# Usage:
#   from tools.registry import registry, tool_error, tool_result
#
#   return tool_error("something went wrong")
#   return tool_error("not found", code=404)
#   return tool_result(success=True, data=payload)
#   return tool_result(items)            # pass a dict directly


def tool_error(message, **extra) -> str:
    """Return a JSON error string for tool handlers.

    >>> tool_error("file not found")
    '{"error": "file not found"}'
    >>> tool_error("bad input", success=False)
    '{"error": "bad input", "success": false}'
    """
    result = {"error": str(message)}
    if extra:
        result.update(extra)
    return json.dumps(result, ensure_ascii=False)


def tool_result(data=None, **kwargs) -> str:
    """Return a JSON result string for tool handlers.

    Accepts a dict positional arg *or* keyword arguments (not both):

    >>> tool_result(success=True, count=42)
    '{"success": true, "count": 42}'
    >>> tool_result({"key": "value"})
    '{"key": "value"}'
    """
    if data is not None:
        return json.dumps(data, ensure_ascii=False)
    return json.dumps(kwargs, ensure_ascii=False)