mirror of
https://github.com/infiniflow/ragflow.git
synced 2025-07-03 15:10:09 +00:00
78 lines
3.0 KiB
Python
78 lines
3.0 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.
|
||
|
|
#
|
||
|
|
from abc import ABC
|
||
|
|
import re
|
||
|
|
from agent.component.base import ComponentBase, ComponentParamBase
|
||
|
|
import deepl
|
||
|
|
|
||
|
|
|
||
|
|
class DeepLParam(ComponentParamBase):
|
||
|
|
"""
|
||
|
|
Define the DeepL component parameters.
|
||
|
|
"""
|
||
|
|
|
||
|
|
def __init__(self):
|
||
|
|
super().__init__()
|
||
|
|
self.prompt = ""
|
||
|
|
self.auth_key = "xxx"
|
||
|
|
self.parameters = []
|
||
|
|
self.source_lang = 'ZH'
|
||
|
|
self.target_lang = 'EN-GB'
|
||
|
|
|
||
|
|
def check(self):
|
||
|
|
self.check_positive_integer(self.top_n, "Top N")
|
||
|
|
self.check_valid_value(self.source_lang, "Source language",
|
||
|
|
['AR', 'BG', 'CS', 'DA', 'DE', 'EL', 'EN', 'ES', 'ET', 'FI', 'FR', 'HU', 'ID', 'IT',
|
||
|
|
'JA', 'KO', 'LT', 'LV', 'NB', 'NL', 'PL', 'PT', 'RO', 'RU', 'SK', 'SL', 'SV', 'TR',
|
||
|
|
'UK', 'ZH'])
|
||
|
|
self.check_valid_value(self.target_lang, "Target language",
|
||
|
|
['AR', 'BG', 'CS', 'DA', 'DE', 'EL', 'EN-GB', 'EN-US', 'ES', 'ET', 'FI', 'FR', 'HU',
|
||
|
|
'ID', 'IT', 'JA', 'KO', 'LT', 'LV', 'NB', 'NL', 'PL', 'PT-BR', 'PT-PT', 'RO', 'RU',
|
||
|
|
'SK', 'SL', 'SV', 'TR', 'UK', 'ZH'])
|
||
|
|
|
||
|
|
|
||
|
|
class DeepL(ComponentBase, ABC):
|
||
|
|
component_name = "GitHub"
|
||
|
|
|
||
|
|
def _run(self, history, **kwargs):
|
||
|
|
prompt = self._param.prompt
|
||
|
|
|
||
|
|
ans = self.get_input()
|
||
|
|
ans = " - ".join(ans["content"]) if "content" in ans else ""
|
||
|
|
if not ans:
|
||
|
|
return DeepL.be_output("")
|
||
|
|
|
||
|
|
for para in self._param.parameters:
|
||
|
|
cpn = self._canvas.get_component(para["component_id"])["obj"]
|
||
|
|
_, out = cpn.output(allow_partial=False)
|
||
|
|
if "content" not in out.columns:
|
||
|
|
kwargs[para["key"]] = "Nothing"
|
||
|
|
else:
|
||
|
|
kwargs[para["key"]] = " - " + "\n - ".join(out["content"])
|
||
|
|
|
||
|
|
kwargs["input"] = ans
|
||
|
|
for n, v in kwargs.items():
|
||
|
|
prompt = re.sub(r"\{%s\}" % n, str(v), prompt)
|
||
|
|
|
||
|
|
try:
|
||
|
|
translator = deepl.Translator(self._param.auth_key)
|
||
|
|
result = translator.translate_text(prompt, source_lang=self._param.source_lang,
|
||
|
|
target_lang=self._param.target_lang)
|
||
|
|
|
||
|
|
return DeepL.be_output(result.text)
|
||
|
|
except Exception as e:
|
||
|
|
DeepL.be_output("**Error**:" + str(e))
|