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77 lines
2.6 KiB
Python
77 lines
2.6 KiB
Python
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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from typing import Any
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import httpx
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from camel.toolkits import BaseToolkit, FunctionTool
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from app.agent.toolkit.abstract_toolkit import AbstractToolkit
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from app.component.environment import env_not_empty
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from app.service.task import Action, ActionSearchMcpData, Agents, get_task_lock
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from app.utils.listen.toolkit_listen import listen_toolkit
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class McpSearchToolkit(BaseToolkit, AbstractToolkit):
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agent_name: str = Agents.mcp_agent
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def __init__(self, api_task_id: str, timeout: float | None = None):
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super().__init__(timeout)
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self.api_task_id = api_task_id
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@listen_toolkit(
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inputs=lambda _,
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keyword,
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size,
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page: f"keyword: {keyword}, size: {size}, page: {page}",
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return_msg=lambda res: f"Search {len(res)} results: ",
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)
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async def search_mcp_from_url(
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self,
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keyword: str,
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size: int = 15,
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page: int = 0,
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) -> dict[str, Any]:
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"""Search mcp server for keyword.
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Args:
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keyword (str): mcp server name keyword.
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size (int): count per page.
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page (int): page.
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Returns:
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dict[str, Any]: _description_
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"""
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async with httpx.AsyncClient() as client:
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response = await client.get(
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env_not_empty("MCP_URL"),
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params={
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"keyword": keyword,
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"size": size,
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"page": page,
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},
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)
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if response.status_code != 200:
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raise Exception(f"MCP server search failed: {response.text}")
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data = response.json()
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task_lock = get_task_lock(self.api_task_id)
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await task_lock.put_queue(
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ActionSearchMcpData(
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action=Action.search_mcp, data=data["items"]
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)
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)
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return data
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def get_tools(self) -> list[FunctionTool]:
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return [FunctionTool(self.search_mcp_from_url)]
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