feat: 添加子图API端点和前端测试面板,包含确定取消继续交互
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@@ -350,3 +350,235 @@ if __name__ == "__main__":
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# 使用环境变量或默认端口 8079(避免与 llama.cpp 的 8081 端口冲突)
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port = int(BACKEND_PORT)
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uvicorn.run(app, host="0.0.0.0", port=port)
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# ==================== 子图专用 API 端点 ====================
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# 简化版本,直接调用各个子图,无需完整 agent_service
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# 注意:这些是独立测试用的简化端点,方便前端直接调用
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@app.get("/subgraph/dictionary/{action}")
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async def dictionary_subgraph_api(
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action: str,
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query: str = "",
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user_id: str = "default"
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):
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"""词典子图简化 API"""
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from backend.app.agent_subgraphs.dictionary import (
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DictionaryState,
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DictionaryAction,
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parse_intent,
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format_result
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)
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from backend.app.agent_subgraphs.dictionary.nodes import (
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query_word, translate_text, extract_terms, get_daily_word
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)
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# 创建初始状态
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state = DictionaryState(user_query=query, user_id=user_id)
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# 处理 action
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try:
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if action == "query":
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state.action = DictionaryAction.QUERY
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state.action_params = {"word": query}
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state = query_word(state)
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elif action == "translate":
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state.action = DictionaryAction.TRANSLATE
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state.source_text = query
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state = translate_text(state)
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elif action == "daily":
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state.action = DictionaryAction.DAILY_WORD
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state = get_daily_word(state)
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elif action == "extract":
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state.action = DictionaryAction.EXTRACT
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state.action_params = {"text": query}
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state = extract_terms(state)
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else:
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# 自动解析意图
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state = parse_intent(state)
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# 根据解析后的 action 调用
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if state.action == DictionaryAction.QUERY:
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state = query_word(state)
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elif state.action == DictionaryAction.TRANSLATE:
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state = translate_text(state)
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elif state.action == DictionaryAction.DAILY_WORD:
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state = get_daily_word(state)
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elif state.action == DictionaryAction.EXTRACT:
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state = extract_terms(state)
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# 格式化结果
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state = format_result(state)
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return {
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"success": True,
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"action": str(state.action),
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"result": state.final_result,
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"raw_data": {
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"word_entry": vars(state.word_entry) if state.word_entry else None,
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"translated_text": state.translated_text,
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"extracted_terms": [vars(t) for t in state.extracted_terms],
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"daily_word": vars(state.daily_word) if state.daily_word else None
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}
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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@app.get("/subgraph/news/{action}")
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async def news_subgraph_api(
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action: str,
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query: str = "",
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user_id: str = "default"
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):
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"""资讯子图简化 API"""
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from backend.app.agent_subgraphs.news_analysis import (
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NewsAnalysisState,
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NewsAction,
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parse_intent,
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format_result
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)
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from backend.app.agent_subgraphs.news_analysis.nodes import (
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query_news, analyze_url, extract_keywords, generate_report
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)
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# 创建初始状态
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state = NewsAnalysisState(user_query=query, user_id=user_id)
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# 处理 action
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try:
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if action == "query":
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state.action = NewsAction.QUERY_NEWS
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state = query_news(state)
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elif action == "analyze":
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state.action = NewsAction.ANALYZE_URL
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state.custom_urls = [query]
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state = analyze_url(state)
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elif action == "keywords":
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state.action = NewsAction.EXTRACT_KEYWORDS
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state = extract_keywords(state)
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elif action == "report":
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state.action = NewsAction.GENERATE_REPORT
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state = generate_report(state)
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else:
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# 自动解析意图
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state = parse_intent(state)
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# 根据解析后的 action 调用
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if state.action == NewsAction.QUERY_NEWS:
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state = query_news(state)
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elif state.action == NewsAction.ANALYZE_URL:
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state.custom_urls = [query]
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state = analyze_url(state)
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elif state.action == NewsAction.EXTRACT_KEYWORDS:
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state = extract_keywords(state)
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elif state.action == NewsAction.GENERATE_REPORT:
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state = generate_report(state)
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# 格式化结果
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state = format_result(state)
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return {
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"success": True,
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"action": str(state.action),
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"result": state.final_result,
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"raw_data": {
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"news_items": [vars(item) for item in state.news_items],
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"extracted_keywords": state.extracted_keywords,
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"report_content": state.report_content
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}
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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@app.get("/subgraph/contact/{action}")
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async def contact_subgraph_api(
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action: str,
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query: str = "",
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user_id: str = "default"
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):
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"""通讯录子图简化 API"""
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from backend.app.agent_subgraphs.contact import (
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ContactState,
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ContactAction,
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parse_intent,
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format_result
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)
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from backend.app.agent_subgraphs.contact.nodes import (
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list_contacts, add_contact, list_emails, generate_email_draft, sniff_contacts
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)
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# 创建初始状态
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state = ContactState(user_query=query, user_id=user_id)
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# 处理 action
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try:
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if action == "list":
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state.action = ContactAction.CONTACT_LIST
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state = list_contacts(state)
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elif action == "add":
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state.action = ContactAction.CONTACT_ADD
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state = add_contact(state)
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elif action == "emails":
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state.action = ContactAction.EMAIL_LIST
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state = list_emails(state)
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elif action == "draft":
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state.action = ContactAction.EMAIL_SEND
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state = generate_email_draft(state)
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elif action == "sniff":
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state.action = ContactAction.SNIFF_CONTACTS
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state = sniff_contacts(state)
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else:
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# 自动解析意图
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state = parse_intent(state)
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# 根据解析后的 action 调用
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if state.action == ContactAction.CONTACT_LIST:
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state = list_contacts(state)
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elif state.action == ContactAction.CONTACT_ADD:
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state = add_contact(state)
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elif state.action == ContactAction.EMAIL_LIST:
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state = list_emails(state)
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elif state.action == ContactAction.EMAIL_SEND:
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state = generate_email_draft(state)
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elif state.action == ContactAction.SNIFF_CONTACTS:
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state = sniff_contacts(state)
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# 格式化结果
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state = format_result(state)
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return {
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"success": True,
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"action": str(state.action),
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"result": state.final_result,
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"raw_data": {
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"contacts": [vars(c) for c in state.contacts],
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"emails": [vars(e) for e in state.emails],
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"current_contact": vars(state.current_contact) if state.current_contact else None,
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"draft": {
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"subject": state.draft_subject,
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"recipient": state.draft_recipient,
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"body": state.draft_body
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},
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"sniffed": [vars(c) for c in state.sniffed_contacts]
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}
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}
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except Exception as e:
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return {"success": False, "error": str(e)}
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@app.get("/subgraph/help")
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async def subgraph_help_api():
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"""子图 API 使用帮助"""
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return {
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"dictionary": {
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"actions": ["query", "translate", "daily", "extract", "auto"],
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"endpoint": "/subgraph/dictionary/{action}"
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},
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"news": {
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"actions": ["query", "analyze", "keywords", "report", "auto"],
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"endpoint": "/subgraph/news/{action}"
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},
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"contact": {
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"actions": ["list", "add", "emails", "draft", "sniff", "auto"],
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"endpoint": "/subgraph/contact/{action}"
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}
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}
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