hubian
3094a5cb56
功能模块: - 主题选择器: 基于历史文章和热门趋势自动推荐主题 - 资料收集器: 自动搜索和收集相关资料 - 资料分析器: 深度分析资料内容，提取关键信息 - 大纲生成器: 基于资料自动生成文章大纲 - 文章撰写器: 分段撰写，支持多种文章类型 - 资料池管理: 中间产物持久化存储，建立索引 支持的文字类型: - 技术解析 - 技术文档翻译 - 项目介绍分析 - 综述文章 - 实践教程 - 问题分析 技术栈: - Python 3.x - 大模型API (OpenAI格式) - Requests库 配置的大模型: - URL: http://192.168.2.5:1234/v1 - Model: qwen3.5-4b
70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
"""
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文章撰写大模型工作流系统配置
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"""
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# 大模型API配置
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LLM_CONFIG = {
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"base_url": "http://192.168.2.5:1234/v1",
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"api_key": "sk-lm-fuP5tGU8:Hi7YU87jHyDP6Ay8Tl2j",
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"model": "qwen3.5-4b",
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"max_tokens": 4096,
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"temperature": 0.7,
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"timeout": 120,
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}
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# 文章类型定义
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ARTICLE_TYPES = {
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"技术解析": {
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"description": "深入分析某项技术的原理、实现、应用场景",
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"structure": ["背景介绍", "技术原理", "核心实现", "应用案例", "总结展望"],
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"word_count": 2000-3000,
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},
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"技术文档翻译": {
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"description": "翻译官方文档、论文、技术博客等",
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"structure": ["原文概述", "核心内容翻译", "关键术语解释", "补充说明"],
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"word_count": 1500-2500,
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},
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"项目介绍分析": {
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"description": "介绍开源项目、分析项目架构、使用方法",
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"structure": ["项目概述", "核心功能", "架构分析", "使用指南", "对比评价"],
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"word_count": 1500-2500,
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},
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"综述文章": {
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"description": "汇总某一领域的技术发展、对比分析多个方案",
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"structure": ["领域背景", "主流方案", "对比分析", "发展趋势", "总结建议"],
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"word_count": 2000-3000,
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},
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"实践教程": {
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"description": "手把手教程，包含具体操作步骤",
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"structure": ["准备工作", "步骤详解", "常见问题", "进阶技巧"],
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"word_count": 1500-2000,
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},
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"问题分析": {
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"description": "分析某个技术问题、Bug、性能瓶颈等",
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"structure": ["问题描述", "原因分析", "解决方案", "经验总结"],
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"word_count": 1000-1500,
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},
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}
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# 资料池配置
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RESOURCE_POOL_CONFIG = {
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"pool_dir": "data/resource_pool",
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"index_file": "data/resource_index.json",
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"history_file": "data/article_history.json",
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"summaries_dir": "data/summaries",
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"images_dir": "assets/images",
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}
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# 搜索配置
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SEARCH_CONFIG = {
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"max_results": 10,
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"sources": ["web", "github", "huggingface", "papers"],
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"cache_hours": 24,
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}
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# 输出配置
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OUTPUT_CONFIG = {
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"output_dir": "output/articles",
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"format": "markdown",
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"include_assets": True,
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} |