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Add component Concentrator (#2586)

### What problem does this PR solve?

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
tags/v0.12.0
lidp 1 год назад
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b05fab14f7
Аккаунт пользователя с таким Email не найден
2 измененных файлов: 42 добавлений и 0 удалений
  1. 1
    0
      agent/component/__init__.py
  2. 41
    0
      agent/component/concentrator.py

+ 1
- 0
agent/component/__init__.py Просмотреть файл

@@ -9,6 +9,7 @@ from .relevant import Relevant, RelevantParam
from .message import Message, MessageParam
from .rewrite import RewriteQuestion, RewriteQuestionParam
from .keyword import KeywordExtract, KeywordExtractParam
from .concentrator import Concentrator, ConcentratorParam
from .baidu import Baidu, BaiduParam
from .duckduckgo import DuckDuckGo, DuckDuckGoParam
from .wikipedia import Wikipedia, WikipediaParam

+ 41
- 0
agent/component/concentrator.py Просмотреть файл

@@ -0,0 +1,41 @@
#
# 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
from agent.component.base import ComponentBase, ComponentParamBase
class ConcentratorParam(ComponentParamBase):
"""
Define the Concentrator component parameters.
"""
def __init__(self):
super().__init__()
def check(self):
super().check()
class Concentrator(ComponentBase, ABC):
component_name = "Concentrator"
def _run(self, history, **kwargs):
input = self.get_input()
ans = " - ".join(input["content"]) if "content" in input else ""
if not ans:
return Concentrator.be_output("")
return Concentrator.be_output(input)

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