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#
# 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.
#
from abc import ABC
import pandas as pd
import pywencai
from agent.component.base import ComponentBase, ComponentParamBase
class WenCaiParam(ComponentParamBase):
"""
Define the WenCai component parameters.
"""
def __init__(self):
super().__init__()
self.top_n = 10
self.query_type = "stock"
def check(self):
self.check_positive_integer(self.top_n, "Top N")
self.check_valid_value(self.query_type, "Query type",
['stock', 'zhishu', 'fund', 'hkstock', 'usstock', 'threeboard', 'conbond', 'insurance',
'futures', 'lccp',
'foreign_exchange'])
class WenCai(ComponentBase, ABC):
component_name = "WenCai"
def _run(self, history, **kwargs):
ans = self.get_input()
ans = ",".join(ans["content"]) if "content" in ans else ""
if not ans:
return WenCai.be_output("")
try:
wencai_res = []
res = pywencai.get(query=ans, query_type=self._param.query_type, perpage=self._param.top_n)
if isinstance(res, pd.DataFrame):
wencai_res.append({"content": res.to_markdown()})
if isinstance(res, dict):
for item in res.items():
if isinstance(item[1], list):
wencai_res.append({"content": item[0] + "\n" + pd.DataFrame(item[1]).to_markdown()})
continue
if isinstance(item[1], str):
wencai_res.append({"content": item[0] + "\n" + item[1]})
continue
if isinstance(item[1], dict):
if "meta" in item[1].keys():
continue
wencai_res.append({"content": pd.DataFrame.from_dict(item[1], orient='index').to_markdown()})
continue
if isinstance(item[1], pd.DataFrame):
if "image_url" in item[1].columns:
continue
wencai_res.append({"content": item[1].to_markdown()})
continue
wencai_res.append({"content": item[0] + "\n" + str(item[1])})
except Exception as e:
return WenCai.be_output("**ERROR**: " + str(e))
if not wencai_res:
return WenCai.be_output("")
return pd.DataFrame(wencai_res)
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