"""Executor相关大模型提示词"""
from textwrap import dedent
from apps.models import LanguageType
EXECUTOR_REASONING: dict[LanguageType, str] = {
LanguageType.CHINESE: dedent(r"""
<instructions>
<instruction>
你是一个可以使用工具的智能助手。
在回答用户的问题时，你为了获取更多的信息，使用了一个工具。
请简明扼要地总结工具的使用过程，提供你的见解，并给出下一步的行动。
注意：
工具的相关信息在<tool></tool>标签中给出。
为了使你更好的理解发生了什么，你之前的思考过程在<thought></thought>标签中给出。
输出时请不要包含XML标签，输出时请保持简明和清晰。
</instruction>
</instructions>
<tool>
<name>{{tool_name}}</name>
<description>{{tool_description}}</description>
<output>{{tool_output}}</output>
</tool>
<thought>
{{last_thought}}
</thought>
<question>
你当前需要解决的问题是：
{{user_question}}
</question>
请综合以上信息，再次一步一步地进行思考，并给出见解和行动：
"""),
LanguageType.ENGLISH: dedent(r"""
<instructions>
<instruction>
You are an intelligent assistant who can use tools.
When answering user questions, you use a tool to get more information.
Please summarize the process of using the tool briefly, provide your insights, \
and give the next action.
Note:
The information about the tool is given in the <tool></tool> tag.
To help you better understand what happened, your previous thought process is given in the \
<thought></thought> tag.
Do not include XML tags in the output, and keep the output brief and clear.
</instruction>
</instructions>
<tool>
<name>{{tool_name}}</name>
<description>{{tool_description}}</description>
<output>{{tool_output}}</output>
</tool>
<thought>
{{last_thought}}
</thought>
<question>
The question you need to solve is:
{{user_question}}
</question>
Please integrate the above information, think step by step again, provide insights, and give actions:
"""),
}
FLOW_ERROR_PROMPT: dict[LanguageType, str] = {
LanguageType.CHINESE: dedent(
r"""
<instructions>
你是一位智能助手，能够根据用户的问题，使用Python工具获取信息，并作出回答。你在使用工具解决回答用户的问题时，发生了错误。
你的任务是：分析工具（Python程序）的异常信息，分析造成该异常可能的原因，并以通俗易懂的方式，将原因告知用户。
当前时间：{{ time }}，可以作为时间参照。
发生错误的程序异常信息将在<error_info>中给出，用户的问题将在<user_question>中给出，上下文背景信息将在<context>中给出。
注意：输出不要包含任何XML标签，不要编造任何信息。若你认为用户提问与背景信息无关，请忽略背景信息。
</instructions>
<error_info>
{{ error_info }}
</error_info>
<user_question>
{{ question }}
</user_question>
<context>
{{ context }}
</context>
现在，输出你的回答：
""",
).strip("\n"),
LanguageType.ENGLISH: dedent(
r"""
<instructions>
You are an intelligent assistant. When using Python tools to answer user questions, an error occurred.
Your task is: Analyze the exception information of the tool (Python program), analyze the possible \
causes of the error, and inform the user in an easy-to-understand way.
Current time: {{ time }}, which can be used as a reference.
The program exception information that occurred will be given in <error_info>, the user's question \
will be given in <user_question>, and the context background information will be given in <context>.
Note: Do not include any XML tags in the output. Do not make up any information. If you think the \
user's question is unrelated to the background information, please ignore the background information.
</instructions>
<error_info>
{{ error_info }}
</error_info>
<user_question>
{{ question }}
</user_question>
<context>
{{ context }}
</context>
Now, please output your answer:
""",
).strip("\n"),
}
GEN_RAG_ANSWER: dict[LanguageType, str] = {
LanguageType.CHINESE: r"""
<instructions>
你是一个专业的智能助手，擅长基于提供的文档内容回答用户问题。
任务：全面结合上下文和文档内容，回答用户提问，并为关键信息添加脚注引用。
<input_format>
- 上下文：请参考先前的对话
- 文档内容：<documents> 标签中提供相关文档内容
- 用户问题：<user_question> 标签中提供具体问题
- 参考示例：<example> 标签中展示期望的输出格式
</input_format>
<output_requirements>
1. 格式要求：
- 输出不要包含任何XML标签
- 脚注格式：[[1]]、[[2]]、[[3]]，数字对应文档ID
- 脚注紧跟相关句子的标点符号后
2. 内容要求：
- 不编造信息，充分结合上下文和文档内容
- 如问题与文档无关，直接回答而不使用文档
- 回答应结构清晰：背景→核心→扩展→总结，并且内容全面
3. 引用规范：
- 不得使用示例中的文档序号
- 关键信息必须添加脚注
- 标注时选择关联性最强的切块对应的文档
</output_requirements>
</instructions>
<example>
<documents>
<item>
<doc_id>1</doc_id>
<doc_name>openEuler介绍文档</doc_name>
<chunk>
openEuler社区是一个开源操作系统社区，致力于推动Linux操作系统的发展。该社区由华为公司于2019年发起，旨在构建一个开放、协作的操作系统生态系统。
</chunk>
<chunk>
openEuler社区的核心目标是面向服务器、云、边缘计算等场景，为用户提供一个稳定、安全、高效的操作系统平台，并且支持x86、ARM等多种硬件架构。
</chunk>
</item>
<item>
<doc_id>2</doc_id>
<doc_name>社区发展报告</doc_name>
<chunk>
openEuler社区的成员来自世界各地，包括开发者、用户、企业合作伙伴和学术机构。截至2023年，社区已有超过300家企业和组织参与贡献。
</chunk>
<chunk>
社区成员通过技术贡献、代码提交、文档编写、测试验证等多种方式，共同推动开源操作系统的发展，并为用户提供技术支持和社区服务。
</chunk>
</item>
</documents>
<user_question>
openEuler社区的目标是什么？有哪些特色？
</user_question>
请基于上述背景信息和用户问题，按照指令要求生成详细、结构清晰的回答：
openEuler社区是一个由华为公司发起的开源操作系统社区，自2019年成立以来，一直致力于推动Linux操作系统的发展。[[1]]
该社区的核心目标是面向服务器、云、边缘计算等多种应用场景，为用户提供一个稳定、安全、高效的操作系统平台。[[1]]
同时，openEuler支持x86、ARM等多种硬件架构，具有良好的跨平台兼容性。[[1]]
在社区建设方面，openEuler汇聚了来自全球的开发者、用户、企业合作伙伴和学术机构。[[2]]
目前已有超过300家企业和组织参与社区贡献，[[2]] 通过技术贡献、代码提交、文档编写、测试验证等多种方式，
共同推动开源操作系统的发展。[[2]]
这种开放协作的模式不仅促进了技术创新，也为用户提供了全面的技术支持和社区服务，
形成了良性的开源生态系统。[[2]]
</example>
<documents>
{% set __ctx_len = ctx_length|default(0) %}
{% set max_length = max_length if max_length is not none else (__ctx_len * 0.7)|int %}
{% set __total_len = 0 %}
{% set __stop = false %}
{% for item in documents %}
<item>
<doc_id>{{item.doc_id}}</doc_id>
<doc_name>{{item.doc_name}}</doc_name>
{% for chunk in item.chunks %}
{% set __chunk_len = (chunk.text|length) %}
{% if (__total_len + __chunk_len) > max_length %}
{% set __stop = true %}
{% break %}
{% endif %}
<chunk>{{chunk.text}}</chunk>
{% set __total_len = __total_len + __chunk_len %}
{% endfor %}
</item>
{% if __stop %}
{% break %}
{% endif %}
{% endfor %}
</documents>
<user_question>
{{user_question}}
</user_question>
请基于上述背景信息和用户问题，按照指令要求生成详细、结构清晰的回答：
""",
LanguageType.ENGLISH: r"""
<instructions>
You are a professional intelligent assistant, adept at answering user questions
based on the provided documents.
Task: Combine the context and document content comprehensively to answer the
user's question, and add footnote citations for key information.
<input_format>
- Context: Please refer to the prior conversation
- Document content: Relevant content is provided within the <documents> tag
- User question: The specific question is provided within the <user_question> tag
- Reference example: The expected output format is shown within the <example> tag
</input_format>
<output_requirements>
1. Format requirements:
- Do not include any XML tags in the output
- Footnote format: [[1]], [[2]], [[3]], with numbers corresponding to document IDs
- Place footnotes immediately after the punctuation of the related sentence
2. Content requirements:
- Do not fabricate information; fully integrate context and document content
- If the question is unrelated to the documents, answer directly without using the documents
- The answer should be clearly structured: background → core → expansion → summary, and be comprehensive
3. Citation specifications:
- Do not use the document numbers from the example
- Key information must include footnotes
- When annotating, select the document corresponding to the most relevant chunk
</output_requirements>
</instructions>
<example>
<documents>
<item>
<doc_id>1</doc_id>
<doc_name>Introduction to openEuler</doc_name>
<chunk>
The openEuler community is an open-source operating system community dedicated
to advancing the Linux operating system. The community was initiated by Huawei
in 2019 to build an open and collaborative OS ecosystem.
</chunk>
<chunk>
The core goal of the openEuler community is to provide a stable, secure, and
efficient operating system platform for scenarios such as servers, cloud, and
edge computing, and it supports multiple hardware architectures including x86
and ARM.
</chunk>
</item>
<item>
<doc_id>2</doc_id>
<doc_name>Community Development Report</doc_name>
<chunk>
Members of the openEuler community come from around the world, including
developers, users, enterprise partners, and academic institutions. As of 2023,
over 300 enterprises and organizations have contributed to the community.
</chunk>
<chunk>
Community members jointly promote the development of open-source operating
systems and provide users with technical support and community services through
technical contributions, code submissions, documentation writing, and testing.
</chunk>
</item>
</documents>
<user_question>
What are the goals and characteristics of the openEuler community?
</user_question>
Please generate a detailed and well-structured answer based on the above background
information and user question:
The openEuler community, initiated by Huawei in 2019, is an open-source operating
system community dedicated to advancing Linux development. [[1]]
Its core goal is to provide a stable, secure, and efficient operating system platform
for servers, cloud, and edge computing. [[1]] It also supports multiple hardware
architectures, including x86 and ARM, offering strong cross-platform compatibility. [[1]]
In terms of community building, openEuler brings together developers, users, enterprise
partners, and academic institutions worldwide. [[2]] To date, over 300 enterprises and
organizations have participated in contributions, jointly promoting open-source OS
development through technical contributions, code submissions, documentation, and
testing. [[2]]
This open collaboration model not only drives technological innovation but also provides
comprehensive technical support and community services to users, forming a healthy
open-source ecosystem. [[2]]
</example>
<documents>
{# Compute default max length: prefer provided max_length, else use ctx_length*0.7 #}
{% set __ctx_len = ctx_length|default(0) %}
{% set max_length = max_length if max_length is not none else (__ctx_len * 0.7)|int %}
{% set __total_len = 0 %}
{% set __stop = false %}
{% for item in documents %}
<item>
<doc_id>{{item.doc_id}}</doc_id>
<doc_name>{{item.doc_name}}</doc_name>
{% for chunk in item.chunks %}
{% set __chunk_len = (chunk.text|length) %}
{% if (__total_len + __chunk_len) > max_length %}
{% set __stop = true %}
{% break %}
{% endif %}
<chunk>{{chunk.text}}</chunk>
{% set __total_len = __total_len + __chunk_len %}
{% endfor %}
</item>
{% if __stop %}
{% break %}
{% endif %}
{% endfor %}
</documents>
<user_question>
{{user_question}}
</user_question>
Please generate a detailed and well-structured answer based on the above background information and user question:
""",
}