import json
from typing import Dict, Any, Tuple, List
def _require_type(obj: Any, expected: type, name: str) -> Tuple[bool, str]:
if not isinstance(obj, expected):
return False, f"'{name}' debe ser de tipo {expected.__name__}"
return True, ""
DEF = {
"name": "grep_lines",
"title": "Filtro de líneas",
"description": "Devuelve las líneas que contienen un substring.",
"inputSchema": {
"type": "object",
"properties": {
"needle": {"type": "string", "description": "Substring a buscar"},
"lines": {"type": "array", "items": {"type": "string"}, "description": "Líneas a filtrar"}
},
"required": ["needle", "lines"]
},
"outputSchema": {
"type": "object",
"properties": {"matches": {"type": "array", "items": {"type": "string"}}},
"required": ["matches"]
}
}
def IMPL(args: Dict[str, Any]) -> Dict[str, Any]:
ok, err = _require_type(args, dict, "arguments")
if not ok:
raise ValueError(err)
needle = args.get("needle")
lines: List[str] = args.get("lines")
ok, err = _require_type(needle, str, "needle")
if not ok:
raise ValueError(err)
ok, err = _require_type(lines, list, "lines")
if not ok:
raise ValueError(err)
for i, ln in enumerate(lines):
if not isinstance(ln, str):
raise ValueError(f"'lines[{i}]' debe ser string")
matches = [ln for ln in lines if needle in ln]
payload = {"matches": matches}
return {
"content": [{"type": "text", "text": json.dumps(payload, ensure_ascii=False)}],
"structuredContent": payload,
"isError": False
}
