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Functions1,198 in github.com/DemonDamon/FinnewsHunter

⨍ Functions 1,198◇ Types & classes 338↳ Endpoints 72

↓ 1 callersMethod_get_site_config

获取网站配置

backend/app/tools/crawler_enhanced.py:599

↓ 1 callersMethod_init_driver

初始化 Selenium WebDriver

backend/app/tools/dynamic_crawler_example.py:41

↓ 1 callersMethod_init_weights

初始化模型权重

backend/app/alpha_mining/model/alpha_generator.py:93

↓ 1 callersMethod_is_cache_valid

检查缓存是否有效

backend/app/services/stock_data_service.py:169

↓ 1 callersMethod_is_news_url

判断是否为新闻URL

backend/app/tools/search_engine_crawler.py:202

↓ 1 callersMethod_is_noise_text

判断是否为噪音文本（广告、版权等）

backend/app/tools/sina_crawler.py:301

↓ 1 callersMethod_is_noise_text

判断是否为噪音文本

backend/app/financial/providers/sina/fetchers/news.py:417

↓ 1 callersMethod_is_stock_related_by_title

根据标题关键词判断是否为股票相关新闻 Args: title: 新闻标题 Returns: 是否为股票相关

backend/app/tools/crawler_base.py:289

↓ 1 callersMethod_is_stock_related_by_url

根据URL路径判断是否为股票相关新闻 Args: url: 新闻URL Returns: 是否为股票相关

backend/app/tools/crawler_base.py:276

↓ 1 callersMethod_load_custom_dict

加载自定义词典

backend/app/tools/text_cleaner.py:48

↓ 1 callersFunction_normalize_stock_row

(code: str, name: str)

backend/app/services/stock_data_service.py:71

↓ 1 callersMethod_normalize_symbol

标准化股票代码为新浪格式

backend/app/financial/providers/sina/fetchers/news.py:295

↓ 1 callersMethod_parse_api_news_item

解析API返回的新闻数据 Args: news_data: API返回的单条新闻数据 Returns: NewsItem对象

backend/app/tools/eeo_crawler.py:195

↓ 1 callersMethod_parse_api_news_item

解析API返回的新闻数据 Args: news_data: API返回的单条新闻数据 Returns: NewsItem对象

backend/app/tools/tencent_crawler.py:202

↓ 1 callersMethod_parse_dataframe

从 DataFrame 解析情感数据

backend/app/alpha_mining/features/sentiment.py:116

↓ 1 callersMethod_parse_dict

从字典解析情感数据

backend/app/alpha_mining/features/sentiment.py:140

↓ 1 callersMethod_parse_formula

解析因子表达式字符串

backend/app/alpha_mining/tools/alpha_mining_tool.py:405

↓ 1 callersMethod_parse_list

从列表解析情感数据

backend/app/alpha_mining/features/sentiment.py:150

↓ 1 callersMethod_parse_search_results

解析搜索引擎返回的内容，提取新闻链接和标题 Args: content: 爬取的页面内容（Markdown格式） engine: 搜索引擎类型 max_results: 最大结

backend/app/tools/search_engine_crawler.py:159

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/tools/yicai_crawler.py:182

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/tools/jingji21_crawler.py:198

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/tools/jwview_crawler.py:189

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/tools/caijing_crawler.py:228

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/tools/eastmoney_crawler.py:236

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/tools/netease163_crawler.py:185

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/tools/nbd_crawler.py:261

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/financial/providers/yicai/fetchers/news.py:207

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/financial/providers/eastmoney/fetchers/news.py:213

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/financial/providers/nbd/fetchers/news.py:214

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/financial/providers/tencent/fetchers/news.py:233

↓ 1 callersMethod_parse_time_string

解析时间字符串

backend/app/financial/providers/netease/fetchers/news.py:211

↓ 1 callersFunction_pct_change

计算百分比变化 Args: x: [batch, time_steps] Returns: 百分比变化 [batch, time_steps]

backend/app/alpha_mining/utils.py:123

↓ 1 callersMethod_prepare_news_summary

准备新闻摘要

backend/app/agents/orchestrator.py:720

↓ 1 callersMethod_repair_markdown_table

修复 Markdown 表格格式问题主要解决：多行内容被错误拆分为多行单元格，导致首列为空的问题

backend/app/agents/news_analyst.py:264

↓ 1 callersFunction_robust_normalize

稳健标准化（使用中位数和 MAD） Args: x: [batch, num_features, time_steps] Returns: 标准化后的张量

backend/app/alpha_mining/utils.py:140

↓ 1 callersFunction_rolling_std

计算滚动标准差 Args: x: [batch, time_steps] window: 窗口大小 Returns: 滚动标准差 [batch, time_steps]

backend/app/alpha_mining/utils.py:99

↓ 1 callersMethod_run_parallel_mode

运行并行分析模式

backend/app/agents/orchestrator.py:200

↓ 1 callersMethod_run_quick_mode

运行快速分析模式

backend/app/agents/orchestrator.py:681

↓ 1 callersMethod_run_realtime_debate_mode

运行实时辩论模式（支持动态搜索）

backend/app/agents/orchestrator.py:296

↓ 1 callersMethod_save_checkpoint

保存训练检查点

backend/app/alpha_mining/model/trainer.py:274

↓ 1 callersMethod_search_akshare

从 AkShare 获取数据

backend/app/agents/data_collector_v2.py:481

↓ 1 callersMethod_search_akshare

从 AkShare 获取数据

backend/app/agents/search_analyst.py:181

↓ 1 callersMethod_search_bochaai

从 BochaAI 搜索新闻

backend/app/agents/data_collector_v2.py:525

↓ 1 callersMethod_search_bochaai

从 BochaAI 搜索新闻

backend/app/agents/search_analyst.py:237

↓ 1 callersMethod_search_browser

使用交互式爬虫搜索

backend/app/agents/data_collector_v2.py:561

↓ 1 callersMethod_search_browser

使用交互式爬虫搜索

backend/app/agents/search_analyst.py:278

↓ 1 callersMethod_search_knowledge_base

从知识库搜索历史数据

backend/app/agents/data_collector_v2.py:593

↓ 1 callersMethod_search_knowledge_base

从知识库搜索历史数据

backend/app/agents/search_analyst.py:310

↓ 1 callersMethod_signal_to_position

信号转换为持仓

backend/app/alpha_mining/backtest/evaluator.py:157

↓ 1 callersMethod_stock_news_nums_stat

legacy_v1/src/Killua/buildstocknewsdb.py:209

↓ 1 callersMethod_summarize_market_data

摘要行情数据

backend/app/agents/quantitative_agent.py:372

↓ 1 callersMethod_summarize_news

汇总新闻信息

backend/app/agents/debate_agents.py:166

↓ 1 callersMethod_summarize_news

汇总新闻信息

backend/app/agents/debate_agents.py:296

↓ 1 callersMethod_technical_analysis

使用 LLM 进行技术分析

backend/app/agents/quantitative_agent.py:256

↓ 1 callersMethodadd_keywords

添加检索关键词

backend/app/knowledge/graph_service.py:206

↓ 1 callersMethodadd_name_variants

添加名称变体 Args: stock_code: 股票代码 variants: 名称变体列表 Returns: 是否成功

backend/app/knowledge/graph_service.py:101

↓ 1 callersFunctionadd_path

legacy_v1/src/Kite/__init__.py:5

↓ 1 callersFunctionadd_path

legacy_v1/src/Leorio/__init__.py:5

↓ 1 callersFunctionadd_path

legacy_v1/src/Killua/__init__.py:5

↓ 1 callersFunctionadd_raw_html_column

添加 raw_html 字段到 news 表

backend/add_raw_html_column.py:23

↓ 1 callersFunctionakshare_direct_connection

akshare 访问国内数据源时需绕过 shell 代理，否则易 ProxyError。

backend/app/services/stock_data_service.py:60

↓ 1 callersMethodanalyze

生成看空分析报告

backend/app/agents/debate_agents.py:215

↓ 1 callersFunctionanalyze_single_news

backend/app/api/v1/analysis.py:118

↓ 1 callersMethodbuild

从情感数据构建特征张量 Args: data: 情感数据，支持多种格式： - DataFrame: columns=[date, sentiment, news_count]

backend/app/alpha_mining/features/sentiment.py:61

↓ 1 callersMethodbuild_simple_graph_from_info

基于 akshare 信息构建简单的知识图谱结构即使 akshare 调用失败，也能基于股票名称构建基础图谱 Args: stock_code: 股票代码 stoc

backend/app/knowledge/knowledge_extractor.py:583

↓ 1 callersFunctioncalculateGridCols

frontend/src/pages/NewsListPage.tsx:450

↓ 1 callersFunctioncheckExistingTask

frontend/src/pages/StockAnalysisPage.tsx:944

↓ 1 callersMethodclassifyHistoryStockNews

Build classifier from historical news(articles/documents) of specific stock. # Arguments: dbName: Name of database. stockCode: Code of sp

legacy_v1/Text_Analysis/text_mining.py:252

↓ 1 callersMethodclassify_stock_news

(self, unseen_raw_document, database_name,

legacy_v1/src/Leorio/topicmodelling.py:147

↓ 1 callersFunctionclean_text

backend/app/api/v1/debug.py:40

↓ 1 callersMethodclean_text

基础文本清洗 Args: text: 原始文本 Returns: 清洗后的文本

backend/app/tools/text_cleaner.py:64

↓ 1 callersFunctionclear_all_news_data

清除所有新闻相关数据

backend/clear_news_data.py:24

↓ 1 callersMethodclear_cache

清除缓存 Args: pattern: 可选的缓存键模式，如果提供则只清除匹配的缓存

backend/app/services/stock_data_service.py:192

↓ 1 callersFunctionclose_neo4j_client

关闭 Neo4j 客户端

backend/app/core/neo4j_client.py:145

↓ 1 callersMethodcollect_data

搜集股票相关数据 Args: stock_code: 股票代码 stock_name: 股票名称 data_requirements: 数据需求配置

backend/app/agents/data_collector.py:42

↓ 1 callersMethodcompare_factors

比较多个因子的表现 Args: factors: 因子列表 returns: 收益率 factor_names: 因子名称列表 Ret

backend/app/alpha_mining/backtest/evaluator.py:267

↓ 1 callersMethodcoroutine_run

Coroutines running.

legacy_v1/Crawler/crawler_sina.py:294

↓ 1 callersMethodcountchn

Count Chinese numbers and calculate the frequency of Chinese occurrence. # Arguments: string: Each part of crawled website ana

legacy_v1/Crawler/crawler_stcn.py:47

↓ 1 callersMethodcountchn

Count Chinese numbers and calculate the frequency of Chinese occurrence. # Arguments: string: Each part of crawled website ana

legacy_v1/Crawler/crawler_nbd.py:46

↓ 1 callersMethodcountchn

Count Chinese numbers and calculate the frequency of Chinese occurrence. # Arguments: string: Each part of crawled website analyz

legacy_v1/Crawler/crawler_cnstock.py:52

↓ 1 callersMethodcountchn

Count Chinese numbers and calculate the frequency of Chinese occurrence. # Arguments: string: Each part of crawled website ana

legacy_v1/Crawler/crawler_sina.py:45

↓ 1 callersMethodcountchn

Count Chinese numbers and calculate the frequency of Chinese occurrence. # Arguments: string: Each part of crawled website ana

legacy_v1/Crawler/crawler_jrj.py:59

↓ 1 callersMethodcrawl

爬取新闻（支持动态加载） Args: start_page: 起始页（对于点击加载更多的网站，这个参数表示点击次数） end_page: 结束页 Return

backend/app/tools/dynamic_crawler_example.py:62

↓ 1 callersMethodcrawl

爬取单个 URL Args: url: 目标 URL engine: 爬取引擎 ('requests', 'playwright', 'jina', 'auto') force

backend/app/tools/crawler_enhanced.py:648

↓ 1 callersMethodcrawl_batch

批量爬取 Args: urls: URL 列表 engine: 爬取引擎 delay: 请求间隔（秒） Returns:

backend/app/tools/crawler_enhanced.py:756

↓ 1 callersMethodcrawl_search_results

爬取搜索结果中的页面内容 Args: search_results: 搜索结果列表 max_results: 最多爬取多少个页面 Returns:

backend/app/tools/interactive_crawler.py:788

↓ 1 callersFunctioncreate_custom_llm_provider

动态创建自定义 LLM provider（用于模型切换） Args: provider: 厂商名称（bailian, openai, deepseek, kimi, zhipu） model: 模型名称 temperatur

backend/app/services/llm_service.py:300

↓ 1 callersFunctioncreate_debate_workflow

创建辩论工作流实例

backend/app/agents/debate_agents.py:641

↓ 1 callersMethodcreate_dictionary

将文中每个词汇关联唯一的ID，因此需要定义词汇表 :param: raw_documents_list, 原始语料列表，每个元素即文本，如["洗尽铅华...", "风雨赶路人...", ...] :param: savepath, corpora.D

legacy_v1/src/Leorio/topicmodelling.py:33

↓ 1 callersFunctioncreate_interactive_crawler

创建交互式爬虫（兼容旧接口）

backend/app/tools/interactive_crawler.py:839

↓ 1 callersFunctioncreate_news_analyst

创建新闻分析师智能体实例 Args: llm_provider: LLM 提供者 tools: 工具列表 organization_id: 组织ID（用于多租户隔离），默认 "finnews" Re

backend/app/agents/news_analyst.py:455

↓ 1 callersMethodcreate_or_update_company

创建或更新公司节点 Args: company: 公司节点数据 Returns: 是否成功

backend/app/knowledge/graph_service.py:54

↓ 1 callersFunctioncreate_orchestrator

创建辩论编排器 Args: mode: 辩论模式 (parallel, realtime_debate, quick_analysis) llm_provider: LLM 提供者 enable_dynamic_search

backend/app/agents/orchestrator.py:899

↓ 1 callersFunctioncreate_quantitative_agent

创建量化分析智能体 Args: llm_provider: LLM 提供者 enable_alpha_mining: 是否启用因子挖掘 model_path: 预训练模型路径 Returns:

backend/app/agents/quantitative_agent.py:454

↓ 1 callersFunctioncreate_search_engine_crawler

创建搜索引擎爬虫实例

backend/app/tools/search_engine_crawler.py:293

↓ 1 callersMethoddebate_round

辩论回合发言（用于实时辩论模式） Args: prompt: 辩论提示词 enable_data_request: 是否启用数据请求功能 Returns:

backend/app/agents/debate_agents.py:133

↓ 1 callersMethoddebate_round

辩论回合发言（用于实时辩论模式） Args: prompt: 辩论提示词 enable_data_request: 是否启用数据请求功能 Returns:

backend/app/agents/debate_agents.py:317

↓ 1 callersFunctiondebug_crawl

实时爬取指定 URL 并返回内容（用于调试） - **url**: 要爬取的新闻 URL - **return_html**: 是否返回原始 HTML（默认 True）

backend/app/api/v1/debug.py:158

↓ 1 callersFunctiondeserializeSession

(session: SerializedSession)

frontend/src/store/useDebateStore.ts:105

↓ 1 callersFunctionescapeRegExp

frontend/src/components/HighlightText.tsx:32

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