mirror of
https://github.com/OpenBMB/ChatDev.git
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121 lines
4.5 KiB
Python
121 lines
4.5 KiB
Python
# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
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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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# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
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import argparse
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import logging
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import os
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import sys
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from camel.typing import ModelType
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root = os.path.dirname(__file__)
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sys.path.append(root)
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from chatdev.chat_chain import ChatChain
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def get_config(company):
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"""
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return configuration json files for ChatChain
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user can customize only parts of configuration json files, other files will be left for default
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Args:
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company: customized configuration name under CompanyConfig/
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Returns:
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path to three configuration jsons: [config_path, config_phase_path, config_role_path]
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"""
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config_dir = os.path.join(root, "CompanyConfig", company)
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default_config_dir = os.path.join(root, "CompanyConfig", "Default")
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config_files = [
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"ChatChainConfig.json",
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"PhaseConfig.json",
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"RoleConfig.json"
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]
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config_paths = []
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for config_file in config_files:
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company_config_path = os.path.join(config_dir, config_file)
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default_config_path = os.path.join(default_config_dir, config_file)
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if os.path.exists(company_config_path):
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config_paths.append(company_config_path)
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else:
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config_paths.append(default_config_path)
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return tuple(config_paths)
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parser = argparse.ArgumentParser(description='argparse')
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parser.add_argument('--config', type=str, default="Default",
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help="Name of config, which is used to load configuration under CompanyConfig/")
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parser.add_argument('--org', type=str, default="DefaultOrganization",
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help="Name of organization, your software will be generated in WareHouse/name_org_timestamp")
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parser.add_argument('--task', type=str, default="Develop a basic Gomoku game.",
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help="Prompt of software")
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parser.add_argument('--name', type=str, default="Gomoku",
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help="Name of software, your software will be generated in WareHouse/name_org_timestamp")
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parser.add_argument('--model', type=str, default="GPT_3_5_TURBO",
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help="GPT Model, choose from {'GPT_3_5_TURBO','GPT_4','GPT_4_32K'}")
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parser.add_argument('--path', type=str, default="",
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help="Your file directory, ChatDev will build upon your software in the Incremental mode")
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args = parser.parse_args()
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# Start ChatDev
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# ----------------------------------------
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# Init ChatChain
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# ----------------------------------------
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config_path, config_phase_path, config_role_path = get_config(args.config)
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args2type = {'GPT_3_5_TURBO': ModelType.GPT_3_5_TURBO, 'GPT_4': ModelType.GPT_4, 'GPT_4_32K': ModelType.GPT_4_32k}
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chat_chain = ChatChain(config_path=config_path,
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config_phase_path=config_phase_path,
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config_role_path=config_role_path,
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task_prompt=args.task,
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project_name=args.name,
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org_name=args.org,
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model_type=args2type[args.model],
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code_path=args.path)
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# ----------------------------------------
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# Init Log
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# ----------------------------------------
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logging.basicConfig(filename=chat_chain.log_filepath, level=logging.INFO,
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format='[%(asctime)s %(levelname)s] %(message)s',
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datefmt='%Y-%d-%m %H:%M:%S', encoding="utf-8")
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# ----------------------------------------
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# Pre Processing
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# ----------------------------------------
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chat_chain.pre_processing()
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# ----------------------------------------
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# Personnel Recruitment
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# ----------------------------------------
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chat_chain.make_recruitment()
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# ----------------------------------------
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# Chat Chain
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# ----------------------------------------
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chat_chain.execute_chain()
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# ----------------------------------------
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# Post Processing
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# ----------------------------------------
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chat_chain.post_processing()
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