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98 lines
2.8 KiB
Python
98 lines
2.8 KiB
Python
import logging
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import openai
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import pkg.openai.keymgr
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import pkg.utils.context
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import pkg.audit.gatherer
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from pkg.openai.modelmgr import ModelRequest, create_openai_model_request
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class OpenAIInteract:
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"""OpenAI 接口封装
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将文字接口和图片接口封装供调用方使用
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"""
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key_mgr: pkg.openai.keymgr.KeysManager = None
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audit_mgr: pkg.audit.gatherer.DataGatherer = None
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default_image_api_params = {
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"size": "256x256",
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}
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def __init__(self, api_key: str):
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self.key_mgr = pkg.openai.keymgr.KeysManager(api_key)
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self.audit_mgr = pkg.audit.gatherer.DataGatherer()
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logging.info("文字总使用量：%d", self.audit_mgr.get_total_text_length())
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openai.api_key = self.key_mgr.get_using_key()
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pkg.utils.context.set_openai_manager(self)
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# 请求OpenAI Completion
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def request_completion(self, prompts) -> tuple[str, int]:
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"""请求补全接口回复
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Parameters:
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prompts (str): 提示语
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Returns:
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str: 回复
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"""
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config = pkg.utils.context.get_config()
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# 根据模型选择使用的接口
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ai: ModelRequest = create_openai_model_request(
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config.completion_api_params['model'],
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'user',
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config.openai_config["http_proxy"] if "http_proxy" in config.openai_config else None
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)
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ai.request(
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prompts,
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**config.completion_api_params
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)
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response = ai.get_response()
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logging.debug("OpenAI response: %s", response)
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# 记录使用量
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current_round_token = 0
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if 'model' in config.completion_api_params:
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self.audit_mgr.report_text_model_usage(config.completion_api_params['model'],
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ai.get_total_tokens())
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current_round_token = ai.get_total_tokens()
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elif 'engine' in config.completion_api_params:
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self.audit_mgr.report_text_model_usage(config.completion_api_params['engine'],
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response['usage']['total_tokens'])
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current_round_token = response['usage']['total_tokens']
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return ai.get_message(), current_round_token
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def request_image(self, prompt) -> dict:
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"""请求图片接口回复
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Parameters:
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prompt (str): 提示语
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Returns:
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dict: 响应
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"""
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config = pkg.utils.context.get_config()
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params = config.image_api_params if hasattr(config, "image_api_params") else self.default_image_api_params
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response = openai.Image.create(
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prompt=prompt,
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n=1,
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**params
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)
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self.audit_mgr.report_image_model_usage(params['size'])
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return response
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