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fd0bf3adf0
### What problem does this PR solve? Format the code ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
81 lines
3.1 KiB
Python
81 lines
3.1 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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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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#
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from abc import ABC
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import pandas as pd
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import pywencai
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from agent.component.base import ComponentBase, ComponentParamBase
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class WenCaiParam(ComponentParamBase):
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"""
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Define the WenCai component parameters.
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"""
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def __init__(self):
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super().__init__()
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self.top_n = 10
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self.query_type = "stock"
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def check(self):
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self.check_positive_integer(self.top_n, "Top N")
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self.check_valid_value(self.query_type, "Query type",
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['stock', 'zhishu', 'fund', 'hkstock', 'usstock', 'threeboard', 'conbond', 'insurance',
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'futures', 'lccp',
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'foreign_exchange'])
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class WenCai(ComponentBase, ABC):
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component_name = "WenCai"
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def _run(self, history, **kwargs):
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ans = self.get_input()
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ans = ",".join(ans["content"]) if "content" in ans else ""
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if not ans:
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return WenCai.be_output("")
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try:
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wencai_res = []
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res = pywencai.get(query=ans, query_type=self._param.query_type, perpage=self._param.top_n)
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if isinstance(res, pd.DataFrame):
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wencai_res.append({"content": res.to_markdown()})
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if isinstance(res, dict):
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for item in res.items():
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if isinstance(item[1], list):
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wencai_res.append({"content": item[0] + "\n" + pd.DataFrame(item[1]).to_markdown()})
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continue
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if isinstance(item[1], str):
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wencai_res.append({"content": item[0] + "\n" + item[1]})
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continue
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if isinstance(item[1], dict):
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if "meta" in item[1].keys():
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continue
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wencai_res.append({"content": pd.DataFrame.from_dict(item[1], orient='index').to_markdown()})
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continue
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if isinstance(item[1], pd.DataFrame):
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if "image_url" in item[1].columns:
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continue
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wencai_res.append({"content": item[1].to_markdown()})
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continue
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wencai_res.append({"content": item[0] + "\n" + str(item[1])})
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except Exception as e:
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return WenCai.be_output("**ERROR**: " + str(e))
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if not wencai_res:
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return WenCai.be_output("")
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return pd.DataFrame(wencai_res)
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