ragflow/agent/tools/googlescholar.py
Yongteng Lei daea357940
Fix: invalid COMPONENT_EXEC_TIMEOUT (#10278)
### What problem does this PR solve?

Fix invalid COMPONENT_EXEC_TIMEOUT. #10273

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-25 14:11:09 +08:00

97 lines
4.0 KiB
Python

#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
import os
import time
from abc import ABC
from scholarly import scholarly
from agent.tools.base import ToolMeta, ToolParamBase, ToolBase
from api.utils.api_utils import timeout
class GoogleScholarParam(ToolParamBase):
"""
Define the GoogleScholar component parameters.
"""
def __init__(self):
self.meta:ToolMeta = {
"name": "google_scholar_search",
"description": """Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites. Google Scholar helps you find relevant work across the world of scholarly research.""",
"parameters": {
"query": {
"type": "string",
"description": "The search keyword to execute with Google Scholar. The keywords should be the most important words/terms(includes synonyms) from the original request.",
"default": "{sys.query}",
"required": True
}
}
}
super().__init__()
self.top_n = 12
self.sort_by = 'relevance'
self.year_low = None
self.year_high = None
self.patents = True
def check(self):
self.check_positive_integer(self.top_n, "Top N")
self.check_valid_value(self.sort_by, "GoogleScholar Sort_by", ['date', 'relevance'])
self.check_boolean(self.patents, "Whether or not to include patents, defaults to True")
def get_input_form(self) -> dict[str, dict]:
return {
"query": {
"name": "Query",
"type": "line"
}
}
class GoogleScholar(ToolBase, ABC):
component_name = "GoogleScholar"
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("formalized_content", "")
return ""
last_e = ""
for _ in range(self._param.max_retries+1):
try:
scholar_client = scholarly.search_pubs(kwargs["query"], patents=self._param.patents, year_low=self._param.year_low,
year_high=self._param.year_high, sort_by=self._param.sort_by)
self._retrieve_chunks(scholar_client,
get_title=lambda r: r['bib']['title'],
get_url=lambda r: r["pub_url"],
get_content=lambda r: "\n author: " + ",".join(r['bib']['author']) + '\n Abstract: ' + r['bib'].get('abstract', 'no abstract')
)
self.set_output("json", list(scholar_client))
return self.output("formalized_content")
except Exception as e:
last_e = e
logging.exception(f"GoogleScholar error: {e}")
time.sleep(self._param.delay_after_error)
if last_e:
self.set_output("_ERROR", str(last_e))
return f"GoogleScholar error: {last_e}"
assert False, self.output()
def thoughts(self) -> str:
return "Looking for scholarly papers on `{}`,” prioritising reputable sources.".format(self.get_input().get("query", "-_-!"))