From 3b581b22ba45bae91ef769b95960c98d384c82b0 Mon Sep 17 00:00:00 2001 From: chiguyong Date: Fri, 5 Jun 2026 19:08:36 +0800 Subject: [PATCH] feat(U8): GEO agent framework adapter layer - fischer-agentkit integration - Add 8 YAML configs for agent declarative definition - Add 3 custom handlers (citation, monitor, schema) - Add 7 business tool registration modules - Add adapter.py with DI-based registry and dispatcher - Add database migration for agentkit tables (episodic_memories, evolution_logs, ab_test_configs) - Add fischer-agentkit>=0.1.0 dependency - Refactor agent_framework/__init__.py to re-export from agentkit - Minor API fixes (schema_advisor, scoring, strategy, suggestions) - Frontend package updates --- .../versions/b001_agentkit_extension.py | 87 + backend/app/agent_framework/__init__.py | 41 +- backend/app/agent_framework/adapter.py | 175 + .../agents/configs/__init__.py | 1 + .../agents/configs/citation_detector.yaml | 56 + .../agents/configs/competitor_analyzer.yaml | 48 + .../agents/configs/content_generator.yaml | 97 + .../agents/configs/deai_agent.yaml | 76 + .../agents/configs/geo_optimizer.yaml | 78 + .../agents/configs/monitor.yaml | 55 + .../agents/configs/schema_advisor.yaml | 49 + .../agents/configs/trend_agent.yaml | 53 + .../agents/custom_handlers/__init__.py | 1 + .../custom_handlers/citation_handler.py | 179 + .../agents/custom_handlers/monitor_handler.py | 133 + .../agents/custom_handlers/schema_handler.py | 285 + backend/app/agent_framework/tools/__init__.py | 38 + .../agent_framework/tools/citation_tools.py | 76 + .../agent_framework/tools/competitor_tools.py | 63 + .../agent_framework/tools/content_tools.py | 57 + .../agent_framework/tools/knowledge_tools.py | 73 + .../agent_framework/tools/monitor_tools.py | 91 + .../app/agent_framework/tools/schema_tools.py | 176 + .../app/agent_framework/tools/trend_tools.py | 68 + backend/app/api/schema_advisor.py | 2 +- backend/app/api/scoring.py | 6 +- backend/app/api/strategy.py | 7 +- backend/app/api/suggestions.py | 2 +- backend/app/models/agent.py | 101 +- backend/app/services/auth.py | 23 + .../scoring/brand_scoring_data_service.py | 6 +- backend/requirements.txt | 3 + frontend/package-lock.json | 4657 ++++++++++++----- frontend/package.json | 2 +- 34 files changed, 5549 insertions(+), 1316 deletions(-) create mode 100644 backend/alembic/versions/b001_agentkit_extension.py create mode 100644 backend/app/agent_framework/adapter.py create mode 100644 backend/app/agent_framework/agents/configs/__init__.py create mode 100644 backend/app/agent_framework/agents/configs/citation_detector.yaml create mode 100644 backend/app/agent_framework/agents/configs/competitor_analyzer.yaml create mode 100644 backend/app/agent_framework/agents/configs/content_generator.yaml create mode 100644 backend/app/agent_framework/agents/configs/deai_agent.yaml create mode 100644 backend/app/agent_framework/agents/configs/geo_optimizer.yaml create mode 100644 backend/app/agent_framework/agents/configs/monitor.yaml create mode 100644 backend/app/agent_framework/agents/configs/schema_advisor.yaml create mode 100644 backend/app/agent_framework/agents/configs/trend_agent.yaml create mode 100644 backend/app/agent_framework/agents/custom_handlers/__init__.py create mode 100644 backend/app/agent_framework/agents/custom_handlers/citation_handler.py create mode 100644 backend/app/agent_framework/agents/custom_handlers/monitor_handler.py create mode 100644 backend/app/agent_framework/agents/custom_handlers/schema_handler.py create mode 100644 backend/app/agent_framework/tools/__init__.py create mode 100644 backend/app/agent_framework/tools/citation_tools.py create mode 100644 backend/app/agent_framework/tools/competitor_tools.py create mode 100644 backend/app/agent_framework/tools/content_tools.py create mode 100644 backend/app/agent_framework/tools/knowledge_tools.py create mode 100644 backend/app/agent_framework/tools/monitor_tools.py create mode 100644 backend/app/agent_framework/tools/schema_tools.py create mode 100644 backend/app/agent_framework/tools/trend_tools.py diff --git a/backend/alembic/versions/b001_agentkit_extension.py b/backend/alembic/versions/b001_agentkit_extension.py new file mode 100644 index 0000000..ee031ec --- /dev/null +++ b/backend/alembic/versions/b001_agentkit_extension.py @@ -0,0 +1,87 @@ +"""add agentkit extension tables + +Revision ID: b001_agentkit_extension +Revises: a79329c23b20 +Create Date: 2026-06-04 + +新增 fischer-agentkit 扩展表： +- episodic_memories: 经验记忆 +- evolution_logs: 进化日志 +- ab_test_configs: A/B测试配置 +""" + +from alembic import op +import sqlalchemy as sa +from sqlalchemy.dialects import postgresql + +revision = "b001_agentkit_extension" +down_revision = "a79329c23b20" +branch_labels = None +depends_on = None + + +def upgrade() -> None: + # episodic_memories + op.create_table( + "episodic_memories", + sa.Column("id", sa.Uuid(), nullable=False), + sa.Column("agent_name", sa.String(50), nullable=False), + sa.Column("task_type", sa.String(50), nullable=False), + sa.Column("input_data", postgresql.JSONB(), nullable=True), + sa.Column("output_data", postgresql.JSONB(), nullable=True), + sa.Column("success", sa.Boolean(), nullable=True), + sa.Column("quality_score", sa.Float(), nullable=True), + sa.Column("reflection", sa.Text(), nullable=True), + sa.Column("embedding_id", sa.String(100), nullable=True), + sa.Column("tags", postgresql.JSONB(), nullable=True), + sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index("idx_episodic_agent_name", "episodic_memories", ["agent_name"]) + op.create_index("idx_episodic_task_type", "episodic_memories", ["task_type"]) + op.create_index("idx_episodic_created_at", "episodic_memories", ["created_at"]) + + # evolution_logs + op.create_table( + "evolution_logs", + sa.Column("id", sa.Uuid(), nullable=False), + sa.Column("agent_name", sa.String(50), nullable=False), + sa.Column("change_type", sa.String(30), nullable=False), + sa.Column("before", postgresql.JSONB(), nullable=True), + sa.Column("after", postgresql.JSONB(), nullable=True), + sa.Column("metrics", postgresql.JSONB(), nullable=True), + sa.Column("ab_test_id", sa.String(100), nullable=True), + sa.Column("status", sa.String(20), server_default="pending", nullable=False), + sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index("idx_evolution_agent_name", "evolution_logs", ["agent_name"]) + op.create_index("idx_evolution_change_type", "evolution_logs", ["change_type"]) + op.create_index("idx_evolution_status", "evolution_logs", ["status"]) + op.create_index("idx_evolution_created_at", "evolution_logs", ["created_at"]) + + # ab_test_configs + op.create_table( + "ab_test_configs", + sa.Column("id", sa.Uuid(), nullable=False), + sa.Column("agent_name", sa.String(50), nullable=False), + sa.Column("test_name", sa.String(100), nullable=False), + sa.Column("variant_a", postgresql.JSONB(), nullable=False), + sa.Column("variant_b", postgresql.JSONB(), nullable=False), + sa.Column("traffic_split", sa.Float(), server_default="0.5", nullable=False), + sa.Column("status", sa.String(20), server_default="running", nullable=False), + sa.Column("winner", sa.String(10), nullable=True), + sa.Column("metrics", postgresql.JSONB(), nullable=True), + sa.Column("started_at", sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False), + sa.Column("ended_at", sa.DateTime(timezone=True), nullable=True), + sa.Column("created_at", sa.DateTime(timezone=True), server_default=sa.func.now(), nullable=False), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index("idx_ab_test_agent_name", "ab_test_configs", ["agent_name"]) + op.create_index("idx_ab_test_status", "ab_test_configs", ["status"]) + + +def downgrade() -> None: + op.drop_table("ab_test_configs") + op.drop_table("evolution_logs") + op.drop_table("episodic_memories") diff --git a/backend/app/agent_framework/__init__.py b/backend/app/agent_framework/__init__.py index 7f47be1..e2ec839 100644 --- a/backend/app/agent_framework/__init__.py +++ b/backend/app/agent_framework/__init__.py @@ -1,5 +1,17 @@ -"""GEO AI Agent 框架 - 解耦式 Agent 管理与调度""" +"""GEO AI Agent 框架 +架构说明： +- 框架核心能力来自 fischer-agentkit 包（pip 依赖） +- 旧框架文件（base.py, dispatcher.py 等）保留作为兼容层 +- 新 Agent 通过 YAML 配置 + ConfigDrivenAgent 创建 +- 旧 Agent 类逐步迁移为薄适配层 + +推荐使用方式： + from agentkit.core.config_driven import ConfigDrivenAgent # 新方式 + from app.agent_framework import get_agent_registry # 适配入口 +""" + +# ---- 旧框架兼容导出（保持现有代码不 break）---- from app.agent_framework.base import BaseAgent from app.agent_framework.config_manager import AgentConfigManager from app.agent_framework.dispatcher import TaskDispatcher @@ -28,13 +40,25 @@ from app.agent_framework.protocol import ( ) from app.agent_framework.registry import AgentRegistry +# ---- agentkit 框架导出（新方式）---- +from agentkit.core.config_driven import AgentConfig, ConfigDrivenAgent +from agentkit.tools.function_tool import FunctionTool +from agentkit.tools.registry import ToolRegistry + +# ---- 业务适配入口 ---- +from app.agent_framework.adapter import ( + create_agents_from_configs, + get_agent_registry, + get_task_dispatcher, +) + __all__ = [ - # Core + # Core (旧框架兼容) "BaseAgent", "AgentRegistry", "TaskDispatcher", "AgentConfigManager", - # Protocol + # Protocol (旧框架兼容) "AgentCapability", "AgentType", "AgentStatus", @@ -42,7 +66,7 @@ __all__ = [ "TaskProgress", "TaskResult", "TaskStatus", - # Exceptions + # Exceptions (旧框架兼容) "AgentFrameworkError", "AgentNotFoundError", "AgentAlreadyRegisteredError", @@ -55,4 +79,13 @@ __all__ = [ "TaskCancelledError", "NoAvailableAgentError", "ConfigValidationError", + # agentkit 新方式 + "AgentConfig", + "ConfigDrivenAgent", + "FunctionTool", + "ToolRegistry", + # 业务适配入口 + "create_agents_from_configs", + "get_agent_registry", + "get_task_dispatcher", ] diff --git a/backend/app/agent_framework/adapter.py b/backend/app/agent_framework/adapter.py new file mode 100644 index 0000000..de380b5 --- /dev/null +++ b/backend/app/agent_framework/adapter.py @@ -0,0 +1,175 @@ +"""GEO Agent 适配层 - 基于 fischer-agentkit 的新架构 + +职责： +1. 从 YAML 配置创建 ConfigDrivenAgent +2. 提供依赖注入的 Registry 和 Dispatcher +3. 兼容旧版 Agent 类的导入路径 + +使用方式： + # 新方式（推荐） + from app.agent_framework import get_agent_registry, get_task_dispatcher + registry = get_agent_registry() + dispatcher = get_task_dispatcher() + + # 旧方式（兼容） + from app.agent_framework.agents import CitationDetectorAgent + agent = CitationDetectorAgent() +""" + +import logging +from pathlib import Path + +from agentkit.core.config_driven import AgentConfig, ConfigDrivenAgent +from agentkit.core.registry import AgentRegistry as AgentkitRegistry +from agentkit.core.dispatcher import TaskDispatcher as AgentkitDispatcher +from agentkit.tools.registry import ToolRegistry + +from app.agent_framework.tools import get_tool_registry + +logger = logging.getLogger(__name__) + +_AGENTKIT_REGISTRY: AgentkitRegistry | None = None +_AGENTKIT_DISPATCHER: AgentkitDispatcher | None = None + + +def _get_configs_dir() -> Path: + """获取 Agent YAML 配置目录""" + return Path(__file__).parent / "agents" / "configs" + + +def _get_llm_client(): + """获取 LLM 客户端""" + from app.services.llm import LLMFactory + return LLMFactory.get_default() + + +def _get_custom_handlers() -> dict: + """获取所有自定义 handler""" + from app.agent_framework.agents.custom_handlers.citation_handler import handle_citation_task + from app.agent_framework.agents.custom_handlers.monitor_handler import handle_monitor_task + from app.agent_framework.agents.custom_handlers.schema_handler import handle_schema_task + + return { + "app.agent_framework.agents.custom_handlers.citation_handler.handle_citation_task": handle_citation_task, + "app.agent_framework.agents.custom_handlers.monitor_handler.handle_monitor_task": handle_monitor_task, + "app.agent_framework.agents.custom_handlers.schema_handler.handle_schema_task": handle_schema_task, + } + + +def _get_session_factory(): + """获取数据库会话工厂""" + from app.database import AsyncSessionLocal + return AsyncSessionLocal + + +def _get_redis_factory(): + """获取 Redis 连接工厂""" + from app.core.redis import get_redis + return get_redis + + +def _get_agent_model(): + """获取 Agent ORM 模型""" + from app.models.agent import AgentRegistry as AgentRegistryModel + return AgentRegistryModel + + +def _get_task_model(): + """获取 Task ORM 模型""" + from app.models.agent import AgentTask as AgentTaskModel + return AgentTaskModel + + +def _get_task_log_model(): + """获取 TaskLog ORM 模型""" + from app.models.agent import AgentTaskLog as AgentTaskLogModel + return AgentTaskLogModel + + +def create_agents_from_configs() -> list[ConfigDrivenAgent]: + """从 YAML 配置目录创建所有 Agent（新架构）""" + configs_dir = _get_configs_dir() + tool_registry = get_tool_registry() + llm_client = _get_llm_client() + custom_handlers = _get_custom_handlers() + + agents = [] + for yaml_file in sorted(configs_dir.glob("*.yaml")): + try: + config = AgentConfig.from_yaml(str(yaml_file)) + agent = ConfigDrivenAgent( + config=config, + tool_registry=tool_registry, + llm_client=llm_client, + custom_handlers=custom_handlers, + ) + agents.append(agent) + logger.info(f"Created agent '{config.name}' from {yaml_file.name}") + except Exception as e: + logger.error(f"Failed to create agent from {yaml_file.name}: {e}") + + return agents + + +def get_agent_registry() -> AgentkitRegistry: + """获取 agentkit AgentRegistry（懒初始化，依赖注入）""" + global _AGENTKIT_REGISTRY + if _AGENTKIT_REGISTRY is None: + _AGENTKIT_REGISTRY = AgentkitRegistry( + session_factory=_get_session_factory(), + agent_model=_get_agent_model(), + ) + agents = create_agents_from_configs() + for agent in agents: + _AGENTKIT_REGISTRY.register(agent) + logger.info(f"Agentkit AgentRegistry initialized with {len(agents)} agents") + return _AGENTKIT_REGISTRY + + +def get_task_dispatcher() -> AgentkitDispatcher: + """获取 agentkit TaskDispatcher（懒初始化，依赖注入）""" + global _AGENTKIT_DISPATCHER + if _AGENTKIT_DISPATCHER is None: + _AGENTKIT_DISPATCHER = AgentkitDispatcher( + redis_factory=_get_redis_factory(), + session_factory=_get_session_factory(), + agent_model=_get_agent_model(), + task_model=_get_task_model(), + task_log_model=_get_task_log_model(), + ) + logger.info("Agentkit TaskDispatcher initialized") + return _AGENTKIT_DISPATCHER + + +def get_legacy_agent(name: str): + """获取旧版 Agent 实例（兼容层） + + 旧代码可能直接实例化 Agent 类，此方法提供兼容性。 + 逐步迁移后可移除。 + """ + from app.agent_framework.agents import ( + CitationDetectorAgent, + CompetitorAnalyzerAgent, + ContentGeneratorAgent, + DeAIAgent, + GEOOptimizerAgent, + MonitorAgent, + SchemaAdvisorAgent, + TrendAgent, + ) + + legacy_map = { + "citation_detector": CitationDetectorAgent, + "competitor_analyzer": CompetitorAnalyzerAgent, + "content_generator": ContentGeneratorAgent, + "deai_agent": DeAIAgent, + "geo_optimizer": GEOOptimizerAgent, + "monitor": MonitorAgent, + "schema_advisor": SchemaAdvisorAgent, + "trend_agent": TrendAgent, + } + + agent_cls = legacy_map.get(name) + if agent_cls: + return agent_cls() + raise ValueError(f"Unknown agent name: {name}") diff --git a/backend/app/agent_framework/agents/configs/__init__.py b/backend/app/agent_framework/agents/configs/__init__.py new file mode 100644 index 0000000..15cd34d --- /dev/null +++ b/backend/app/agent_framework/agents/configs/__init__.py @@ -0,0 +1 @@ +"""Agent Configs 包""" diff --git a/backend/app/agent_framework/agents/configs/citation_detector.yaml b/backend/app/agent_framework/agents/configs/citation_detector.yaml new file mode 100644 index 0000000..ba07041 --- /dev/null +++ b/backend/app/agent_framework/agents/configs/citation_detector.yaml @@ -0,0 +1,56 @@ +name: citation_detector +agent_type: citation_detection +version: "1.0.0" +description: "AI平台引用检测Agent：检测目标品牌在各AI平台回答中的引用情况" +task_mode: custom +supported_tasks: + - citation_detect + - citation_detect_single +max_concurrency: 3 +custom_handler: "app.agent_framework.agents.custom_handlers.citation_handler.handle_citation_task" + +input_schema: + type: object + properties: + query_id: + type: string + description: 查询ID（citation_detect模式） + keyword: + type: string + description: 关键词（citation_detect_single模式） + platform: + type: string + description: 平台名称（citation_detect_single模式） + target_brand: + type: string + description: 目标品牌（citation_detect_single模式） + brand_aliases: + type: array + items: + type: string + description: 品牌别名列表 + +output_schema: + type: object + properties: + query_id: + type: string + keyword: + type: string + total_records: + type: integer + cited_count: + type: integer + records: + type: array + +tools: + - execute_single_platform + - get_or_create_task + +memory: + working: + enabled: true + episodic: + enabled: true + track_success: true diff --git a/backend/app/agent_framework/agents/configs/competitor_analyzer.yaml b/backend/app/agent_framework/agents/configs/competitor_analyzer.yaml new file mode 100644 index 0000000..2602f4f --- /dev/null +++ b/backend/app/agent_framework/agents/configs/competitor_analyzer.yaml @@ -0,0 +1,48 @@ +name: competitor_analyzer +agent_type: competitor_analysis +version: "1.0.0" +description: "竞品策略分析Agent：对比品牌与竞品的引用数据，识别差距领域，发现机会点，生成策略建议" +task_mode: tool_call +supported_tasks: + - competitor_analyze + - competitor_gap_analysis +max_concurrency: 2 + +input_schema: + type: object + required: + - brand_id + properties: + brand_id: + type: string + description: 品牌ID + analysis_types: + type: array + items: + type: string + description: 分析类型列表 + period_days: + type: integer + description: 分析周期（天） + default: 30 + +output_schema: + type: object + properties: + brand_id: + type: string + analysis: + type: object + recommendations: + type: array + +tools: + - competitor_analyze + - competitor_gap_analysis + +memory: + working: + enabled: true + episodic: + enabled: true + track_success: true diff --git a/backend/app/agent_framework/agents/configs/content_generator.yaml b/backend/app/agent_framework/agents/configs/content_generator.yaml new file mode 100644 index 0000000..5ede616 --- /dev/null +++ b/backend/app/agent_framework/agents/configs/content_generator.yaml @@ -0,0 +1,97 @@ +name: content_generator +agent_type: content_generation +version: "1.0.0" +description: "AI内容生成Agent：支持选题推荐和文章生成，可结合知识库RAG检索" +task_mode: llm_generate +supported_tasks: + - generate_topics + - generate_article +max_concurrency: 2 + +input_schema: + type: object + required: + - target_keyword + properties: + target_keyword: + type: string + description: 目标关键词 + brand_name: + type: string + description: 品牌名称 + brand_description: + type: string + description: 品牌描述 + target_platform: + type: string + description: 目标平台 + default: "通用" + knowledge_base_ids: + type: array + items: + type: string + description: 知识库ID列表，用于RAG检索 + topic_title: + type: string + description: 选题标题（generate_article时使用） + word_count: + type: integer + description: 目标字数 + default: 2000 + content_style: + type: string + description: 内容风格 + default: "专业严谨" + content_angle: + type: string + description: 内容角度 + model: + type: string + description: 指定LLM模型 + +output_schema: + type: object + properties: + topics: + type: array + description: 选题列表 + content: + type: string + description: 生成的文章内容 + word_count: + type: integer + usage: + type: object + +prompt: + identity: "你是一个专业的内容生成助手，擅长为品牌创作高质量的SEO/GEO优化内容" + context: "品牌需要通过优质内容提升在AI搜索引擎中的可见性和引用率" + instructions: | + 根据用户提供的关键词、品牌信息和知识库内容，生成符合要求的内容。 + - generate_topics: 生成选题列表，每个选题包含 title、reason、keywords 字段 + - generate_article: 生成完整文章，确保内容专业、结构清晰、关键词自然融入 + constraints: | + - 内容必须原创，避免抄袭 + - 关键词密度适中，不要堆砌 + - 文章结构清晰，段落分明 + - 数据和引用需标注来源 + output_format: "以 JSON 格式输出，generate_topics 返回 {topics: [{title, reason, keywords}]}，generate_article 返回 {content, word_count}" + examples: "" + +llm: + model: "deepseek" + temperature: 0.7 + max_tokens: 4000 + +tools: + - retrieve_knowledge + +memory: + working: + enabled: true + episodic: + enabled: true + track_success: true + semantic: + enabled: true + knowledge_base_ids_field: "knowledge_base_ids" diff --git a/backend/app/agent_framework/agents/configs/deai_agent.yaml b/backend/app/agent_framework/agents/configs/deai_agent.yaml new file mode 100644 index 0000000..f5bbe8b --- /dev/null +++ b/backend/app/agent_framework/agents/configs/deai_agent.yaml @@ -0,0 +1,76 @@ +name: deai_agent +agent_type: deai_processing +version: "1.1.0" +description: "内容去AI化Agent：消除AI生成特征，使文章更自然流畅" +task_mode: llm_generate +supported_tasks: + - deai_process +max_concurrency: 2 + +input_schema: + type: object + required: + - content + properties: + content: + type: string + description: 待处理的文章内容 + platform: + type: string + description: 目标平台ID（如 zhihu, wechat） + style: + type: string + description: 目标风格 + default: "自然流畅" + preserve_structure: + type: boolean + description: 是否保留原有结构 + default: true + +output_schema: + type: object + properties: + content: + type: string + description: 处理后的内容 + original_word_count: + type: integer + processed_word_count: + type: integer + usage: + type: object + detected_ai_patterns: + type: array + +prompt: + identity: "你是一个专业的内容改写专家，擅长将AI生成的文本改写为自然、人类化的表达" + context: "平台对AI生成内容的检测越来越严格，需要将内容改写为更自然的风格" + instructions: | + 对提供的文章内容进行去AI化处理： + 1. 替换AI常用表达（如"总之"、"综上所述"、"首先其次最后"等） + 2. 增加口语化表达和个人观点 + 3. 调整句式结构，避免过于工整的排比 + 4. 保留核心信息和数据 + 5. 如有平台特定要求，遵循平台规则 + constraints: | + - 保留原文的核心信息和数据 + - 不要改变文章的主题和立场 + - 保持专业性的同时增加自然感 + - 如指定平台，需符合该平台的内容规范 + output_format: "返回处理后的完整文章内容" + examples: "" + +llm: + model: "deepseek" + temperature: 0.9 + max_tokens: 8000 + +tools: + - detect_ai_patterns + +memory: + working: + enabled: true + episodic: + enabled: true + track_success: true diff --git a/backend/app/agent_framework/agents/configs/geo_optimizer.yaml b/backend/app/agent_framework/agents/configs/geo_optimizer.yaml new file mode 100644 index 0000000..23f2714 --- /dev/null +++ b/backend/app/agent_framework/agents/configs/geo_optimizer.yaml @@ -0,0 +1,78 @@ +name: geo_optimizer +agent_type: geo_optimization +version: "1.0.0" +description: "GEO/SEO内容优化Agent：提升内容在AI搜索引擎中的可见性和引用率" +task_mode: llm_generate +supported_tasks: + - geo_optimize +max_concurrency: 2 + +input_schema: + type: object + required: + - content + - target_keywords + properties: + content: + type: string + description: 待优化文章 + target_keywords: + type: array + items: + type: string + description: 目标关键词列表 + target_platform: + type: string + description: 目标平台 + default: "通用" + optimization_level: + type: string + enum: [light, moderate, aggressive] + description: 优化级别 + default: "moderate" + +output_schema: + type: object + properties: + optimized_content: + type: string + seo_score: + type: number + changes: + type: array + items: + type: string + usage: + type: object + +prompt: + identity: "你是一个GEO/SEO优化专家，擅长优化内容以提升在AI搜索引擎中的可见性" + context: "品牌需要通过内容优化提升在AI搜索结果中的引用率和排名" + instructions: | + 对提供的文章进行GEO/SEO优化： + 1. 自然融入目标关键词 + 2. 优化标题和段落结构 + 3. 增加结构化数据标记建议 + 4. 提升内容的权威性和引用价值 + 5. 根据optimization_level调整优化力度 + constraints: | + - 优化后的内容必须保持原意 + - 关键词融入要自然，避免堆砌 + - 保持文章可读性 + - 不要添加虚假信息 + output_format: "以 JSON 格式输出: {optimized_content: string, seo_score: number, changes: [string]}" + examples: "" + +llm: + model: "deepseek" + temperature: 0.5 + max_tokens: 8000 + +tools: [] + +memory: + working: + enabled: true + episodic: + enabled: true + track_success: true diff --git a/backend/app/agent_framework/agents/configs/monitor.yaml b/backend/app/agent_framework/agents/configs/monitor.yaml new file mode 100644 index 0000000..1c2fda7 --- /dev/null +++ b/backend/app/agent_framework/agents/configs/monitor.yaml @@ -0,0 +1,55 @@ +name: monitor +agent_type: performance_tracker +version: "1.0.0" +description: "效果追踪Agent：监测品牌引用量、情感、排名变化，生成变化报告" +task_mode: custom +supported_tasks: + - monitor_track + - monitor_check_single +max_concurrency: 3 +custom_handler: "app.agent_framework.agents.custom_handlers.monitor_handler.handle_monitor_task" + +input_schema: + type: object + required: + - brand_id + properties: + brand_id: + type: string + description: 品牌ID + keyword: + type: string + description: 关键词（monitor_check_single模式） + platform: + type: string + description: 平台名称（monitor_check_single模式） + check_interval_hours: + type: integer + description: 检测间隔小时数 + default: 24 + +output_schema: + type: object + properties: + brand_id: + type: string + brand_name: + type: string + total_queries: + type: integer + checked_records: + type: integer + reports: + type: array + +tools: + - monitor_check_and_compare + - monitor_generate_report + - monitor_create_record + +memory: + working: + enabled: true + episodic: + enabled: true + track_success: true diff --git a/backend/app/agent_framework/agents/configs/schema_advisor.yaml b/backend/app/agent_framework/agents/configs/schema_advisor.yaml new file mode 100644 index 0000000..1f0799f --- /dev/null +++ b/backend/app/agent_framework/agents/configs/schema_advisor.yaml @@ -0,0 +1,49 @@ +name: schema_advisor +agent_type: schema_advisor +version: "1.0.0" +description: "Schema优化建议Agent：识别Schema缺失维度，生成JSON-LD结构化数据建议" +task_mode: custom +supported_tasks: + - schema_advise +max_concurrency: 2 +custom_handler: "app.agent_framework.agents.custom_handlers.schema_handler.handle_schema_task" + +input_schema: + type: object + required: + - brand_id + properties: + brand_id: + type: string + description: 品牌ID + diagnosis_data: + type: object + description: 诊断数据 + brand_info: + type: object + description: 品牌信息 + focus_dimensions: + type: array + items: + type: string + description: 重点关注维度 + +output_schema: + type: object + properties: + brand_id: + type: string + suggestions: + type: array + total: + type: integer + +tools: + - fill_schema_with_llm + +memory: + working: + enabled: true + episodic: + enabled: true + track_success: true diff --git a/backend/app/agent_framework/agents/configs/trend_agent.yaml b/backend/app/agent_framework/agents/configs/trend_agent.yaml new file mode 100644 index 0000000..3935f9c --- /dev/null +++ b/backend/app/agent_framework/agents/configs/trend_agent.yaml @@ -0,0 +1,53 @@ +name: trend_agent +agent_type: trend_analysis +version: "1.0.0" +description: "趋势洞察Agent：分析品牌引用趋势、识别热点话题、推断变化原因并生成建议" +task_mode: tool_call +supported_tasks: + - trend_insight + - trend_hotspot +max_concurrency: 2 + +input_schema: + type: object + required: + - brand_id + properties: + brand_id: + type: string + description: 品牌ID + days: + type: integer + description: 分析天数 + default: 30 + platforms: + type: array + items: + type: string + description: 平台列表 + keywords: + type: array + items: + type: string + description: 关键词列表 + +output_schema: + type: object + properties: + brand_id: + type: string + trends: + type: array + hotspots: + type: array + +tools: + - trend_insight + - trend_hotspot + +memory: + working: + enabled: true + episodic: + enabled: true + track_success: true diff --git a/backend/app/agent_framework/agents/custom_handlers/__init__.py b/backend/app/agent_framework/agents/custom_handlers/__init__.py new file mode 100644 index 0000000..928f0d7 --- /dev/null +++ b/backend/app/agent_framework/agents/custom_handlers/__init__.py @@ -0,0 +1 @@ +"""Custom Handlers 包""" diff --git a/backend/app/agent_framework/agents/custom_handlers/citation_handler.py b/backend/app/agent_framework/agents/custom_handlers/citation_handler.py new file mode 100644 index 0000000..c3898b0 --- /dev/null +++ b/backend/app/agent_framework/agents/custom_handlers/citation_handler.py @@ -0,0 +1,179 @@ +"""CitationDetector 自定义 Handler + +处理 citation_detect 和 citation_detect_single 两种任务类型， +包含数据库操作和平台调用等复杂业务逻辑。 +""" + +import logging +import uuid +from datetime import datetime, timedelta, timezone + +from sqlalchemy import select + +from agentkit.core.protocol import TaskMessage + +logger = logging.getLogger(__name__) + + +async def handle_citation_task(task: TaskMessage) -> dict: + """引用检测任务入口 + + 根据 task_type 路由到不同的处理逻辑： + - citation_detect: 全量检测（多平台） + - citation_detect_single: 单平台检测 + """ + if task.task_type == "citation_detect": + return await _execute_full_detect(task) + elif task.task_type == "citation_detect_single": + return await _execute_single_detect(task) + else: + raise ValueError(f"Unsupported task type: {task.task_type}") + + +async def _execute_full_detect(task: TaskMessage) -> dict: + """全量引用检测：遍历查询关联的所有平台""" + from app.database import AsyncSessionLocal + from app.models.citation_record import CitationRecord + from app.models.query import Query + from app.models.query_task import QueryTask + from app.services.ai_engine.platform_bridge import execute_single_platform + + query_id = task.input_data.get("query_id") + if not query_id: + raise ValueError("input_data must contain 'query_id'") + + async with AsyncSessionLocal() as db: + stmt = select(Query).where(Query.id == query_id) + result = await db.execute(stmt) + query = result.scalar_one_or_none() + + if not query: + raise ValueError(f"Query {query_id} not found") + + records: list[CitationRecord] = [] + platforms = query.platforms or ["wenxin", "kimi"] + brand_aliases = query.brand_aliases or [] + + for i, platform_name in enumerate(platforms): + task_obj = await _get_or_create_task(db, query.id, platform_name) + task_obj.status = "running" + task_obj.started_at = datetime.now(timezone.utc) + task_obj.error_message = None + await db.commit() + + try: + detect_result = await execute_single_platform( + keyword=query.keyword, + platform=platform_name, + target_brand=query.target_brand, + brand_aliases=brand_aliases, + ) + + record = CitationRecord.from_citation_result( + query_id=query.id, + platform=platform_name, + result=detect_result, + ) + db.add(record) + records.append(record) + + task_obj.status = "success" + task_obj.completed_at = datetime.now(timezone.utc) + await db.commit() + + except Exception as e: + logger.error(f"平台 {platform_name} 查询失败: {e}") + task_obj.status = "failed" + task_obj.error_message = str(e) + task_obj.completed_at = datetime.now(timezone.utc) + + record = CitationRecord.from_citation_result( + query_id=query.id, + platform=platform_name, + result={"cited": False, "raw_response": str(e)}, + ) + db.add(record) + records.append(record) + await db.commit() + + query.last_queried_at = datetime.now(timezone.utc) + query.next_query_at = _calculate_next_query_at(query.frequency) + await db.commit() + + record_summaries = [ + { + "id": str(r.id), + "platform": r.platform, + "cited": r.cited, + "confidence": r.confidence, + "match_type": r.match_type, + } + for r in records + ] + + return { + "query_id": str(query_id), + "keyword": query.keyword, + "total_records": len(records), + "cited_count": sum(1 for r in records if r.cited), + "records": record_summaries, + } + + +async def _execute_single_detect(task: TaskMessage) -> dict: + """单平台引用检测""" + from app.services.ai_engine.platform_bridge import execute_single_platform + + keyword = task.input_data.get("keyword") + platform = task.input_data.get("platform") + target_brand = task.input_data.get("target_brand") + brand_aliases = task.input_data.get("brand_aliases", []) + + if not all([keyword, platform, target_brand]): + raise ValueError("input_data must contain 'keyword', 'platform', 'target_brand'") + + result = await execute_single_platform( + keyword=keyword, + platform=platform, + target_brand=target_brand, + brand_aliases=brand_aliases, + ) + + output = {k: v for k, v in result.items() if k != "raw_response"} + return output + + +async def _get_or_create_task(db, query_id: uuid.UUID, platform: str): + """获取或创建查询任务""" + from app.models.query_task import QueryTask + + stmt = select(QueryTask).where( + QueryTask.query_id == query_id, + QueryTask.platform == platform, + ) + result = await db.execute(stmt) + task_obj = result.scalar_one_or_none() + + if not task_obj: + task_obj = QueryTask( + query_id=query_id, + platform=platform, + status="pending", + ) + db.add(task_obj) + await db.commit() + await db.refresh(task_obj) + + return task_obj + + +def _calculate_next_query_at(frequency: str | None) -> datetime: + """计算下次查询时间""" + now = datetime.now(timezone.utc) + freq_map = { + "daily": timedelta(days=1), + "weekly": timedelta(days=7), + "monthly": timedelta(days=30), + } + delta = freq_map.get(frequency or "weekly", timedelta(days=7)) + return now + delta diff --git a/backend/app/agent_framework/agents/custom_handlers/monitor_handler.py b/backend/app/agent_framework/agents/custom_handlers/monitor_handler.py new file mode 100644 index 0000000..890ac3d --- /dev/null +++ b/backend/app/agent_framework/agents/custom_handlers/monitor_handler.py @@ -0,0 +1,133 @@ +"""Monitor 自定义 Handler + +处理 monitor_track 和 monitor_check_single 两种任务类型， +包含数据库操作和监测服务调用等复杂业务逻辑。 +""" + +import logging +import uuid +from datetime import datetime, timezone + +from sqlalchemy import select + +from agentkit.core.protocol import TaskMessage + +logger = logging.getLogger(__name__) + + +async def handle_monitor_task(task: TaskMessage) -> dict: + """效果追踪任务入口 + + 根据 task_type 路由到不同的处理逻辑： + - monitor_track: 品牌全量效果追踪 + - monitor_check_single: 单关键词检测 + """ + if task.task_type == "monitor_track": + return await _monitor_track(task) + elif task.task_type == "monitor_check_single": + return await _monitor_check_single(task) + else: + raise ValueError(f"不支持的任务类型: {task.task_type}") + + +async def _monitor_track(task: TaskMessage) -> dict: + """品牌全量效果追踪""" + from app.database import AsyncSessionLocal + from app.models.brand import Brand + from app.models.monitoring import MonitoringRecord + from app.models.query import Query + from app.services.monitoring.monitor_service import MonitorService + + input_data = task.input_data + brand_id = input_data.get("brand_id") + if not brand_id: + raise ValueError("input_data必须包含'brand_id'字段") + + brand_id = uuid.UUID(brand_id) + + async with AsyncSessionLocal() as db: + stmt = select(Brand).where(Brand.id == brand_id) + result = await db.execute(stmt) + brand = result.scalar_one_or_none() + if not brand: + raise ValueError(f"品牌不存在: {brand_id}") + + queries_stmt = select(Query).where(Query.target_brand == brand.name) + queries_result = await db.execute(queries_stmt) + queries = list(queries_result.scalars().all()) + + if not queries: + return { + "brand_id": str(brand_id), + "brand_name": brand.name, + "total_queries": 0, + "reports": [], + } + + total_queries = len(queries) + reports = [] + service = MonitorService() + + monitoring_stmt = select(MonitoringRecord).where( + MonitoringRecord.brand_id == brand_id, + MonitoringRecord.status == "active", + ) + monitoring_result = await db.execute(monitoring_stmt) + monitoring_records = list(monitoring_result.scalars().all()) + + for record in monitoring_records: + updated_record = await service.check_and_compare(db, record.id) + if updated_record: + report = await service.generate_change_report(db, updated_record.id) + if report: + reports.append(report) + + return { + "brand_id": str(brand_id), + "brand_name": brand.name, + "total_queries": total_queries, + "checked_records": len(monitoring_records), + "reports": reports, + } + + +async def _monitor_check_single(task: TaskMessage) -> dict: + """单关键词检测""" + from app.database import AsyncSessionLocal + from app.services.monitoring.monitor_service import MonitorService + + input_data = task.input_data + brand_id = input_data.get("brand_id") + keyword = input_data.get("keyword") + platform = input_data.get("platform") + + if not brand_id: + raise ValueError("input_data必须包含'brand_id'字段") + + brand_id = uuid.UUID(brand_id) + + async with AsyncSessionLocal() as db: + service = MonitorService() + + record = await service.create_monitoring_record( + db=db, + brand_id=brand_id, + query_keywords=keyword, + platform=platform, + check_interval_hours=input_data.get("check_interval_hours", 24), + ) + + updated_record = await service.check_and_compare(db, record.id) + + report = None + if updated_record: + report = await service.generate_change_report(db, updated_record.id) + + return { + "record_id": str(record.id), + "brand_id": str(brand_id), + "keyword": keyword, + "platform": platform, + "change_type": updated_record.change_type if updated_record else None, + "report": report, + } diff --git a/backend/app/agent_framework/agents/custom_handlers/schema_handler.py b/backend/app/agent_framework/agents/custom_handlers/schema_handler.py new file mode 100644 index 0000000..3a29bfc --- /dev/null +++ b/backend/app/agent_framework/agents/custom_handlers/schema_handler.py @@ -0,0 +1,285 @@ +"""SchemaAdvisor 自定义 Handler + +处理 schema_advise 任务类型， +包含维度识别、模板匹配、LLM填充、验证排序等复杂业务逻辑。 +""" + +import copy +import json +import logging + +from agentkit.core.protocol import TaskMessage + +logger = logging.getLogger(__name__) + +SCHEMA_TEMPLATES = { + "Organization": { + "@context": "https://schema.org", + "@type": "Organization", + "name": "", + "description": "", + "url": "", + "logo": "", + "sameAs": [], + "contactPoint": { + "@type": "ContactPoint", + "contactType": "customer service", + "telephone": "", + }, + }, + "Product": { + "@context": "https://schema.org", + "@type": "Product", + "name": "", + "description": "", + "brand": {"@type": "Brand", "name": ""}, + "offers": { + "@type": "Offer", + "priceCurrency": "CNY", + "availability": "https://schema.org/InStock", + }, + }, + "FAQPage": { + "@context": "https://schema.org", + "@type": "FAQPage", + "mainEntity": [ + { + "@type": "Question", + "name": "", + "acceptedAnswer": {"@type": "Answer", "text": ""}, + } + ], + }, + "Article": { + "@context": "https://schema.org", + "@type": "Article", + "headline": "", + "description": "", + "author": {"@type": "Organization", "name": ""}, + "datePublished": "", + "image": "", + }, + "LocalBusiness": { + "@context": "https://schema.org", + "@type": "LocalBusiness", + "name": "", + "address": { + "@type": "PostalAddress", + "streetAddress": "", + "addressLocality": "", + "addressRegion": "", + "postalCode": "", + "addressCountry": "CN", + }, + "geo": {"@type": "GeoCoordinates", "latitude": "", "longitude": ""}, + "telephone": "", + "openingHours": "", + }, +} + +DIMENSION_SCHEMA_MAP = { + "schema_marketing": ["Organization", "LocalBusiness"], + "entity_clarity": ["Organization", "Product"], + "citation_readiness": ["FAQPage", "Article"], + "brand_visibility": ["Organization", "Product"], + "local_seo": ["LocalBusiness"], +} + +PRIORITY_THRESHOLD = {"high": 30.0, "medium": 60.0} +DIFFICULTY_MAP = { + "Organization": "easy", + "Product": "medium", + "FAQPage": "medium", + "Article": "easy", + "LocalBusiness": "hard", +} + +IMPACT_DESCRIPTIONS = { + "Organization": "增强品牌实体识别，提升AI搜索引擎对品牌的理解和引用概率", + "Product": "提升产品在搜索结果中的富摘要展示，增加点击率和引用率", + "FAQPage": "增加FAQ富摘要展示机会，提升在AI回答中的直接引用概率", + "Article": "优化文章内容的结构化表达，提升AI搜索引擎的内容理解和引用", + "LocalBusiness": "增强本地搜索可见性，提升地理位置相关查询的引用率", +} + + +async def handle_schema_task(task: TaskMessage) -> dict: + """Schema建议任务入口""" + input_data = task.input_data + brand_id = input_data.get("brand_id") + diagnosis_data = input_data.get("diagnosis_data", {}) + brand_info = input_data.get("brand_info", {}) + focus_dimensions = input_data.get("focus_dimensions") + + if not brand_id: + raise ValueError("input_data必须包含'brand_id'字段") + + # 1. 识别缺失维度 + missing_dimensions = _identify_missing_dimensions(diagnosis_data, focus_dimensions) + + # 2. 匹配预定义模板 + matched = _match_templates(missing_dimensions) + + # 3. LLM填充 + filled = await _fill_with_llm(matched, brand_info) + + # 4. 验证和排序 + validated = _validate_and_sort(filled) + + return { + "brand_id": brand_id, + "suggestions": validated, + "total": len(validated), + } + + +def _identify_missing_dimensions( + diagnosis_data: dict, + focus_dimensions: list[str] | None = None, +) -> list[dict]: + """识别Schema缺失维度""" + dimensions = [] + dimension_scores = diagnosis_data.get("dimensions", {}) + for dim_name, dim_info in dimension_scores.items(): + if dim_name not in DIMENSION_SCHEMA_MAP: + continue + if focus_dimensions and dim_name not in focus_dimensions: + continue + score = dim_info.get("score", 0) if isinstance(dim_info, dict) else dim_info + max_score = dim_info.get("max_score", 100) if isinstance(dim_info, dict) else 100 + percentage = (score / max_score * 100) if max_score > 0 else 0 + if percentage < 80: + dimensions.append({ + "dimension": dim_name, + "current_score": round(score, 2), + "max_score": max_score, + "percentage": round(percentage, 2), + }) + if not dimensions and diagnosis_data: + overall = diagnosis_data.get("overall_score", 0) + if overall < 80: + for dim_name in DIMENSION_SCHEMA_MAP: + if focus_dimensions and dim_name not in focus_dimensions: + continue + dimensions.append({ + "dimension": dim_name, + "current_score": 0, + "max_score": 100, + "percentage": 0, + }) + return dimensions + + +def _match_templates(missing_dimensions: list[dict]) -> list[dict]: + """匹配预定义Schema模板""" + matched = [] + seen_types = set() + for dim in missing_dimensions: + schema_types = DIMENSION_SCHEMA_MAP.get(dim["dimension"], []) + for schema_type in schema_types: + if schema_type in seen_types: + continue + seen_types.add(schema_type) + template = SCHEMA_TEMPLATES.get(schema_type) + if template: + percentage = dim["percentage"] + if percentage < PRIORITY_THRESHOLD["high"]: + priority = "high" + elif percentage < PRIORITY_THRESHOLD["medium"]: + priority = "medium" + else: + priority = "low" + matched.append({ + "schema_type": schema_type, + "priority": priority, + "diagnosis_dimensions": { + "dimension": dim["dimension"], + "current_score": dim["current_score"], + "max_score": dim["max_score"], + "percentage": dim["percentage"], + }, + "json_ld_template": copy.deepcopy(template), + "implementation_difficulty": DIFFICULTY_MAP.get(schema_type, "medium"), + }) + return matched + + +async def _fill_with_llm(matched: list[dict], brand_info: dict) -> list[dict]: + """使用LLM填充Schema模板""" + from app.services.llm import LLMFactory, LLMError + from app.agent_framework.prompts.schema_advisor import SCHEMA_ADVISOR_TEMPLATE + from app.utils.json_extractor import extract_json + + provider = LLMFactory.get_default() + results = [] + for item in matched: + schema_type = item["schema_type"] + try: + variables = { + "brand_name": brand_info.get("name", ""), + "brand_website": brand_info.get("website", ""), + "brand_industry": brand_info.get("industry", ""), + "schema_type": schema_type, + "diagnosis_data": json.dumps(item.get("diagnosis_dimensions", {}), ensure_ascii=False), + "existing_schemas": "无", + } + messages = SCHEMA_ADVISOR_TEMPLATE.render(variables) + response = await provider.chat(messages, temperature=0.3, max_tokens=2048) + filled = json.loads(extract_json(response.content)) + item["json_ld_filled"] = filled + item["estimated_impact"] = IMPACT_DESCRIPTIONS.get( + schema_type, f"提升{item.get('diagnosis_dimensions', {}).get('dimension', '')}维度的得分和AI引用率" + ) + except (json.JSONDecodeError, LLMError, ValueError) as e: + logger.warning(f"LLM填充Schema {schema_type} 失败: {e}") + item["json_ld_filled"] = None + item["estimated_impact"] = IMPACT_DESCRIPTIONS.get( + schema_type, f"提升{item.get('diagnosis_dimensions', {}).get('dimension', '')}维度的得分和AI引用率" + ) + results.append(item) + return results + + +def _validate_json_ld(json_ld: dict) -> dict: + """验证JSON-LD格式""" + errors = [] + warnings = [] + + if not json_ld: + return {"is_valid": False, "errors": ["JSON-LD为空"], "warnings": []} + + if "@context" not in json_ld: + errors.append("缺少@context字段") + if "@type" not in json_ld: + errors.append("缺少@type字段") + if "@context" in json_ld and json_ld["@context"] != "https://schema.org": + warnings.append(f"@context值非标准: {json_ld.get('@context')}") + if "@type" in json_ld and json_ld["@type"] not in SCHEMA_TEMPLATES: + warnings.append(f"@type非推荐类型: {json_ld.get('@type')}") + + try: + json.dumps(json_ld) + except (json.JSONDecodeError, TypeError) as e: + errors.append(f"JSON序列化失败: {e}") + + return {"is_valid": len(errors) == 0, "errors": errors, "warnings": warnings} + + +def _validate_and_sort(items: list[dict]) -> list[dict]: + """验证并按优先级排序""" + validated = [] + for item in items: + json_ld_filled = item.get("json_ld_filled") + if json_ld_filled: + validation = _validate_json_ld(json_ld_filled) + item["validation_errors"] = None if validation["is_valid"] else { + "errors": validation["errors"], + "warnings": validation["warnings"], + } + else: + item["validation_errors"] = {"errors": ["JSON-LD填充失败"], "warnings": []} + validated.append(item) + + priority_order = {"high": 0, "medium": 1, "low": 2} + validated.sort(key=lambda x: priority_order.get(x.get("priority", "medium"), 1)) + return validated diff --git a/backend/app/agent_framework/tools/__init__.py b/backend/app/agent_framework/tools/__init__.py new file mode 100644 index 0000000..31b2d15 --- /dev/null +++ b/backend/app/agent_framework/tools/__init__.py @@ -0,0 +1,38 @@ +"""GEO 业务工具注册 - 统一注册入口""" + +import logging + +from agentkit.tools.registry import ToolRegistry + +from app.agent_framework.tools.citation_tools import register_citation_tools +from app.agent_framework.tools.content_tools import register_content_tools +from app.agent_framework.tools.monitor_tools import register_monitor_tools +from app.agent_framework.tools.schema_tools import register_schema_tools +from app.agent_framework.tools.competitor_tools import register_competitor_tools +from app.agent_framework.tools.trend_tools import register_trend_tools +from app.agent_framework.tools.knowledge_tools import register_knowledge_tools + +logger = logging.getLogger(__name__) + +_REGISTRY: ToolRegistry | None = None + + +def get_tool_registry() -> ToolRegistry: + """获取全局 ToolRegistry（懒初始化）""" + global _REGISTRY + if _REGISTRY is None: + _REGISTRY = ToolRegistry() + register_all_tools(_REGISTRY) + return _REGISTRY + + +def register_all_tools(registry: ToolRegistry) -> None: + """注册所有业务工具""" + register_citation_tools(registry) + register_content_tools(registry) + register_monitor_tools(registry) + register_schema_tools(registry) + register_competitor_tools(registry) + register_trend_tools(registry) + register_knowledge_tools(registry) + logger.info("All GEO business tools registered") diff --git a/backend/app/agent_framework/tools/citation_tools.py b/backend/app/agent_framework/tools/citation_tools.py new file mode 100644 index 0000000..b7156e8 --- /dev/null +++ b/backend/app/agent_framework/tools/citation_tools.py @@ -0,0 +1,76 @@ +"""Citation 业务工具 - 将引用检测服务注册为 FunctionTool""" + +import logging +from typing import Any + +from agentkit.tools.function_tool import FunctionTool +from agentkit.tools.registry import ToolRegistry + +logger = logging.getLogger(__name__) + + +async def execute_single_platform( + keyword: str, + platform: str, + target_brand: str, + brand_aliases: list[str] | None = None, +) -> dict: + """调用平台执行单次引用检测""" + from app.services.ai_engine.platform_bridge import execute_single_platform as _exec + + return await _exec( + keyword=keyword, + platform=platform, + target_brand=target_brand, + brand_aliases=brand_aliases or [], + ) + + +async def get_or_create_task(query_id: str, platform: str) -> dict: + """获取或创建查询任务""" + import uuid + from datetime import datetime + from sqlalchemy import select + from app.database import AsyncSessionLocal + from app.models.query_task import QueryTask + + async with AsyncSessionLocal() as db: + stmt = select(QueryTask).where( + QueryTask.query_id == uuid.UUID(query_id), + QueryTask.platform == platform, + ) + result = await db.execute(stmt) + task_obj = result.scalar_one_or_none() + + if not task_obj: + task_obj = QueryTask( + query_id=uuid.UUID(query_id), + platform=platform, + status="pending", + ) + db.add(task_obj) + await db.commit() + await db.refresh(task_obj) + + return {"id": str(task_obj.id), "platform": task_obj.platform, "status": task_obj.status} + + +def register_citation_tools(registry: ToolRegistry) -> None: + """注册所有引用检测相关工具""" + registry.register( + FunctionTool( + name="execute_single_platform", + description="在指定AI平台执行引用检测，返回引用结果", + func=execute_single_platform, + tags=["citation", "detection"], + ) + ) + registry.register( + FunctionTool( + name="get_or_create_task", + description="获取或创建引用检测的查询任务记录", + func=get_or_create_task, + tags=["citation", "task"], + ) + ) + logger.info("Citation tools registered") diff --git a/backend/app/agent_framework/tools/competitor_tools.py b/backend/app/agent_framework/tools/competitor_tools.py new file mode 100644 index 0000000..c4752fe --- /dev/null +++ b/backend/app/agent_framework/tools/competitor_tools.py @@ -0,0 +1,63 @@ +"""Competitor 业务工具 - 将竞品分析服务注册为 FunctionTool""" + +import logging +from typing import Any + +from agentkit.tools.function_tool import FunctionTool +from agentkit.tools.registry import ToolRegistry + +logger = logging.getLogger(__name__) + + +async def competitor_analyze( + brand_id: str, + analysis_types: list[str] | None = None, + period_days: int = 30, +) -> dict: + """执行竞品策略分析""" + from app.services.competitor.competitor_analyzer_service import CompetitorAnalyzerService + + service = CompetitorAnalyzerService() + result = await service.analyze_competitor( + brand_id=brand_id, + analysis_types=analysis_types, + period_days=period_days, + ) + return result + + +async def competitor_gap_analysis( + brand_id: str, + period_days: int = 30, +) -> dict: + """执行竞品差距分析""" + from app.services.competitor.competitor_analyzer_service import CompetitorAnalyzerService + + service = CompetitorAnalyzerService() + result = await service.analyze_competitor( + brand_id=brand_id, + analysis_types=["citation_gap", "platform_coverage", "query_overlap"], + period_days=period_days, + ) + return result + + +def register_competitor_tools(registry: ToolRegistry) -> None: + """注册所有竞品分析相关工具""" + registry.register( + FunctionTool( + name="competitor_analyze", + description="执行竞品策略分析，对比品牌与竞品的引用数据", + func=competitor_analyze, + tags=["competitor", "analysis"], + ) + ) + registry.register( + FunctionTool( + name="competitor_gap_analysis", + description="执行竞品差距分析，识别差距领域和机会点", + func=competitor_gap_analysis, + tags=["competitor", "gap"], + ) + ) + logger.info("Competitor tools registered") diff --git a/backend/app/agent_framework/tools/content_tools.py b/backend/app/agent_framework/tools/content_tools.py new file mode 100644 index 0000000..48a1d88 --- /dev/null +++ b/backend/app/agent_framework/tools/content_tools.py @@ -0,0 +1,57 @@ +"""Content 业务工具 - 将内容生成相关服务注册为 FunctionTool""" + +import logging +from typing import Any + +from agentkit.tools.function_tool import FunctionTool +from agentkit.tools.registry import ToolRegistry + +logger = logging.getLogger(__name__) + + +async def retrieve_knowledge( + knowledge_base_ids: list[str], + query: str, + top_k: int = 5, +) -> dict: + """从知识库检索相关内容""" + if not knowledge_base_ids or not query: + return {"content": "暂无相关知识库内容", "sources": []} + + try: + from app.database import AsyncSessionLocal + from app.services.knowledge.rag_service import RAGService + + async with AsyncSessionLocal() as session: + rag = RAGService() + results = await rag.search( + session=session, + query=query, + knowledge_base_ids=knowledge_base_ids, + top_k=top_k, + ) + if results: + content_parts = [] + sources = [] + for r in results: + title = r.get("document_title", "未知") + content_parts.append(f"[来源: {title}]\n{r.get('content', '')}") + sources.append(title) + return {"content": "\n\n---\n\n".join(content_parts), "sources": sources} + except Exception as e: + logger.warning(f"RAG检索失败: {e}") + + return {"content": "暂无相关知识库内容", "sources": []} + + +def register_content_tools(registry: ToolRegistry) -> None: + """注册所有内容生成相关工具""" + registry.register( + FunctionTool( + name="retrieve_knowledge", + description="从知识库检索相关内容，用于RAG增强生成", + func=retrieve_knowledge, + tags=["content", "rag", "knowledge"], + ) + ) + logger.info("Content tools registered") diff --git a/backend/app/agent_framework/tools/knowledge_tools.py b/backend/app/agent_framework/tools/knowledge_tools.py new file mode 100644 index 0000000..27ebd86 --- /dev/null +++ b/backend/app/agent_framework/tools/knowledge_tools.py @@ -0,0 +1,73 @@ +"""Knowledge 业务工具 - 将知识库服务注册为 FunctionTool""" + +import logging +from typing import Any + +from agentkit.tools.function_tool import FunctionTool +from agentkit.tools.registry import ToolRegistry + +logger = logging.getLogger(__name__) + + +async def search_knowledge( + query: str, + knowledge_base_ids: list[str], + top_k: int = 5, +) -> dict: + """从知识库检索相关内容""" + if not knowledge_base_ids or not query: + return {"content": "暂无相关知识库内容", "sources": []} + + try: + from app.database import AsyncSessionLocal + from app.services.knowledge.rag_service import RAGService + + async with AsyncSessionLocal() as session: + rag = RAGService() + results = await rag.search( + session=session, + query=query, + knowledge_base_ids=knowledge_base_ids, + top_k=top_k, + ) + if results: + content_parts = [] + sources = [] + for r in results: + title = r.get("document_title", "未知") + content_parts.append(f"[来源: {title}]\n{r.get('content', '')}") + sources.append(title) + return {"content": "\n\n---\n\n".join(content_parts), "sources": sources} + except Exception as e: + logger.warning(f"知识库检索失败: {e}") + + return {"content": "暂无相关知识库内容", "sources": []} + + +async def detect_ai_patterns(content: str, platform_id: str) -> dict: + """检测内容中的AI生成模式""" + from app.services.distribution.rule_service import platform_rule_service + + patterns = platform_rule_service.detect_ai_patterns(content, platform_id) + return {"patterns": patterns, "count": len(patterns)} + + +def register_knowledge_tools(registry: ToolRegistry) -> None: + """注册所有知识库相关工具""" + registry.register( + FunctionTool( + name="search_knowledge", + description="从知识库检索相关内容", + func=search_knowledge, + tags=["knowledge", "rag"], + ) + ) + registry.register( + FunctionTool( + name="detect_ai_patterns", + description="检测内容中的AI生成模式", + func=detect_ai_patterns, + tags=["knowledge", "deai"], + ) + ) + logger.info("Knowledge tools registered") diff --git a/backend/app/agent_framework/tools/monitor_tools.py b/backend/app/agent_framework/tools/monitor_tools.py new file mode 100644 index 0000000..f5b91fd --- /dev/null +++ b/backend/app/agent_framework/tools/monitor_tools.py @@ -0,0 +1,91 @@ +"""Monitor 业务工具 - 将效果追踪服务注册为 FunctionTool""" + +import logging +from typing import Any + +from agentkit.tools.function_tool import FunctionTool +from agentkit.tools.registry import ToolRegistry + +logger = logging.getLogger(__name__) + + +async def monitor_check_and_compare(record_id: str) -> dict: + """检测并对比监测记录的变化""" + import uuid + from app.database import AsyncSessionLocal + from app.services.monitoring.monitor_service import MonitorService + + async with AsyncSessionLocal() as db: + service = MonitorService() + updated_record = await service.check_and_compare(db, uuid.UUID(record_id)) + if updated_record: + return { + "id": str(updated_record.id), + "change_type": updated_record.change_type, + "updated": True, + } + return {"id": record_id, "updated": False} + + +async def monitor_generate_report(record_id: str) -> dict: + """生成监测变化报告""" + import uuid + from app.database import AsyncSessionLocal + from app.services.monitoring.monitor_service import MonitorService + + async with AsyncSessionLocal() as db: + service = MonitorService() + report = await service.generate_change_report(db, uuid.UUID(record_id)) + return {"report": report} if report else {"report": None} + + +async def monitor_create_record( + brand_id: str, + query_keywords: str | None = None, + platform: str | None = None, + check_interval_hours: int = 24, +) -> dict: + """创建监测记录""" + import uuid + from app.database import AsyncSessionLocal + from app.services.monitoring.monitor_service import MonitorService + + async with AsyncSessionLocal() as db: + service = MonitorService() + record = await service.create_monitoring_record( + db=db, + brand_id=uuid.UUID(brand_id), + query_keywords=query_keywords, + platform=platform, + check_interval_hours=check_interval_hours, + ) + return {"id": str(record.id), "status": record.status} + + +def register_monitor_tools(registry: ToolRegistry) -> None: + """注册所有效果追踪相关工具""" + registry.register( + FunctionTool( + name="monitor_check_and_compare", + description="检测并对比监测记录的变化", + func=monitor_check_and_compare, + tags=["monitor", "tracking"], + ) + ) + registry.register( + FunctionTool( + name="monitor_generate_report", + description="生成监测变化报告", + func=monitor_generate_report, + tags=["monitor", "report"], + ) + ) + registry.register( + FunctionTool( + name="monitor_create_record", + description="创建新的监测记录", + func=monitor_create_record, + tags=["monitor", "record"], + ) + ) + logger.info("Monitor tools registered") diff --git a/backend/app/agent_framework/tools/schema_tools.py b/backend/app/agent_framework/tools/schema_tools.py new file mode 100644 index 0000000..afbdf9e --- /dev/null +++ b/backend/app/agent_framework/tools/schema_tools.py @@ -0,0 +1,176 @@ +"""Schema 业务工具 - 将Schema建议服务注册为 FunctionTool""" + +import copy +import json +import logging +from typing import Any + +from agentkit.tools.function_tool import FunctionTool +from agentkit.tools.registry import ToolRegistry + +logger = logging.getLogger(__name__) + +SCHEMA_TEMPLATES = { + "Organization": { + "@context": "https://schema.org", + "@type": "Organization", + "name": "", + "description": "", + "url": "", + "logo": "", + "sameAs": [], + "contactPoint": { + "@type": "ContactPoint", + "contactType": "customer service", + "telephone": "", + }, + }, + "Product": { + "@context": "https://schema.org", + "@type": "Product", + "name": "", + "description": "", + "brand": {"@type": "Brand", "name": ""}, + "offers": { + "@type": "Offer", + "priceCurrency": "CNY", + "availability": "https://schema.org/InStock", + }, + }, + "FAQPage": { + "@context": "https://schema.org", + "@type": "FAQPage", + "mainEntity": [ + { + "@type": "Question", + "name": "", + "acceptedAnswer": {"@type": "Answer", "text": ""}, + } + ], + }, + "Article": { + "@context": "https://schema.org", + "@type": "Article", + "headline": "", + "description": "", + "author": {"@type": "Organization", "name": ""}, + "datePublished": "", + "image": "", + }, + "LocalBusiness": { + "@context": "https://schema.org", + "@type": "LocalBusiness", + "name": "", + "address": { + "@type": "PostalAddress", + "streetAddress": "", + "addressLocality": "", + "addressRegion": "", + "postalCode": "", + "addressCountry": "CN", + }, + "geo": {"@type": "GeoCoordinates", "latitude": "", "longitude": ""}, + "telephone": "", + "openingHours": "", + }, +} + +DIMENSION_SCHEMA_MAP = { + "schema_marketing": ["Organization", "LocalBusiness"], + "entity_clarity": ["Organization", "Product"], + "citation_readiness": ["FAQPage", "Article"], + "brand_visibility": ["Organization", "Product"], + "local_seo": ["LocalBusiness"], +} + +PRIORITY_THRESHOLD = {"high": 30.0, "medium": 60.0} +DIFFICULTY_MAP = { + "Organization": "easy", + "Product": "medium", + "FAQPage": "medium", + "Article": "easy", + "LocalBusiness": "hard", +} + + +async def fill_schema_with_llm( + schema_type: str, + brand_info: dict | None = None, + diagnosis_dimensions: dict | None = None, +) -> dict: + """使用LLM填充Schema模板""" + from app.services.llm import LLMFactory + from app.agent_framework.prompts.schema_advisor import SCHEMA_ADVISOR_TEMPLATE + from app.utils.json_extractor import extract_json + + brand_info = brand_info or {} + diagnosis_dimensions = diagnosis_dimensions or {} + + template = SCHEMA_TEMPLATES.get(schema_type) + if not template: + return {"schema_type": schema_type, "json_ld_filled": None, "error": "Unknown schema type"} + + provider = LLMFactory.get_default() + variables = { + "brand_name": brand_info.get("name", ""), + "brand_website": brand_info.get("website", ""), + "brand_industry": brand_info.get("industry", ""), + "schema_type": schema_type, + "diagnosis_data": json.dumps(diagnosis_dimensions, ensure_ascii=False), + "existing_schemas": "无", + } + messages = SCHEMA_ADVISOR_TEMPLATE.render(variables) + + try: + response = await provider.chat(messages, temperature=0.3, max_tokens=2048) + filled = json.loads(extract_json(response.content)) + return {"schema_type": schema_type, "json_ld_filled": filled} + except Exception as e: + logger.warning(f"LLM填充Schema {schema_type} 失败: {e}") + return {"schema_type": schema_type, "json_ld_filled": None, "error": str(e)} + + +async def identify_missing_dimensions( + diagnosis_data: dict, + focus_dimensions: list[str] | None = None, +) -> dict: + """识别Schema缺失维度""" + dimensions = [] + dimension_scores = diagnosis_data.get("dimensions", {}) + for dim_name, dim_info in dimension_scores.items(): + if dim_name not in DIMENSION_SCHEMA_MAP: + continue + if focus_dimensions and dim_name not in focus_dimensions: + continue + score = dim_info.get("score", 0) if isinstance(dim_info, dict) else dim_info + max_score = dim_info.get("max_score", 100) if isinstance(dim_info, dict) else 100 + percentage = (score / max_score * 100) if max_score > 0 else 0 + if percentage < 80: + dimensions.append({ + "dimension": dim_name, + "current_score": round(score, 2), + "max_score": max_score, + "percentage": round(percentage, 2), + }) + return {"missing_dimensions": dimensions} + + +def register_schema_tools(registry: ToolRegistry) -> None: + """注册所有Schema建议相关工具""" + registry.register( + FunctionTool( + name="fill_schema_with_llm", + description="使用LLM填充Schema JSON-LD模板", + func=fill_schema_with_llm, + tags=["schema", "llm"], + ) + ) + registry.register( + FunctionTool( + name="identify_missing_dimensions", + description="识别诊断数据中的Schema缺失维度", + func=identify_missing_dimensions, + tags=["schema", "diagnosis"], + ) + ) + logger.info("Schema tools registered") diff --git a/backend/app/agent_framework/tools/trend_tools.py b/backend/app/agent_framework/tools/trend_tools.py new file mode 100644 index 0000000..22f6cbc --- /dev/null +++ b/backend/app/agent_framework/tools/trend_tools.py @@ -0,0 +1,68 @@ +"""Trend 业务工具 - 将趋势分析服务注册为 FunctionTool""" + +import logging +from typing import Any + +from agentkit.tools.function_tool import FunctionTool +from agentkit.tools.registry import ToolRegistry + +logger = logging.getLogger(__name__) + + +async def trend_insight( + brand_id: str, + days: int = 30, + platforms: list[str] | None = None, + keywords: list[str] | None = None, +) -> dict: + """执行趋势洞察分析""" + from app.database import AsyncSessionLocal + from app.services.trend.trend_analyzer_service import TrendAnalyzerService + + async with AsyncSessionLocal() as db: + service = TrendAnalyzerService(db) + result = await service.analyze_trends( + brand_id=brand_id, + days=days, + platforms=platforms, + keywords=keywords, + ) + return result + + +async def trend_hotspot( + brand_id: str, + days: int = 30, +) -> dict: + """检测引用量突增的热点话题""" + from app.database import AsyncSessionLocal + from app.services.trend.trend_analyzer_service import TrendAnalyzerService + + async with AsyncSessionLocal() as db: + service = TrendAnalyzerService(db) + result = await service.get_hotspots( + brand_id=brand_id, + days=days, + ) + return result + + +def register_trend_tools(registry: ToolRegistry) -> None: + """注册所有趋势分析相关工具""" + registry.register( + FunctionTool( + name="trend_insight", + description="分析品牌引用趋势，推断变化原因", + func=trend_insight, + tags=["trend", "insight"], + ) + ) + registry.register( + FunctionTool( + name="trend_hotspot", + description="检测引用量突增的热点话题", + func=trend_hotspot, + tags=["trend", "hotspot"], + ) + ) + logger.info("Trend tools registered") diff --git a/backend/app/api/schema_advisor.py b/backend/app/api/schema_advisor.py index 4ea4a6d..a8ec724 100644 --- a/backend/app/api/schema_advisor.py +++ b/backend/app/api/schema_advisor.py @@ -57,7 +57,7 @@ async def _get_brand_diagnosis_data( from app.services.analysis.sentiment_service import get_sentiment_service queries_stmt = select(QueryModel).where( - QueryModel.user_id == user_id, + QueryModel.user_id == str(user_id), QueryModel.target_brand == brand.name, ) queries_result = await db.execute(queries_stmt) diff --git a/backend/app/api/scoring.py b/backend/app/api/scoring.py index cc60b00..291e515 100644 --- a/backend/app/api/scoring.py +++ b/backend/app/api/scoring.py @@ -81,7 +81,7 @@ async def _get_citations_for_brand( # Find queries that match this brand queries_stmt = select(QueryModel).where( - QueryModel.user_id == user_id, + QueryModel.user_id == str(user_id), QueryModel.target_brand == brand.name, ) queries_result = await db.execute(queries_stmt) @@ -215,7 +215,7 @@ async def _calculate_trend( # Get queries for this brand queries_stmt = select(QueryModel).where( - QueryModel.user_id == user_id, + QueryModel.user_id == str(user_id), QueryModel.target_brand == brand.name, ) queries_result = await db.execute(queries_stmt) @@ -266,7 +266,7 @@ async def _calculate_trend_for_competitor( # Get queries for this competitor queries_stmt = select(QueryModel).where( - QueryModel.user_id == user_id, + QueryModel.user_id == str(user_id), QueryModel.target_brand == competitor_name, ) queries_result = await db.execute(queries_stmt) diff --git a/backend/app/api/strategy.py b/backend/app/api/strategy.py index 44c1b9e..8c9bbeb 100644 --- a/backend/app/api/strategy.py +++ b/backend/app/api/strategy.py @@ -4,7 +4,6 @@ from datetime import datetime from fastapi import APIRouter, Depends, HTTPException, Query, status from sqlalchemy import select, func from sqlalchemy.ext.asyncio import AsyncSession -from sqlalchemy.orm import selectinload from app.api.deps import get_current_user from app.database import get_db @@ -181,11 +180,7 @@ async def generate_geo_plan_endpoint( await db.commit() await db.refresh(db_plan) - stmt = ( - select(GeoPlan) - .options(selectinload(GeoPlanAction.plan)) - .where(GeoPlan.id == db_plan.id) - ) + stmt = select(GeoPlan).where(GeoPlan.id == db_plan.id) result = await db.execute(stmt) db_plan = result.scalar_one() diff --git a/backend/app/api/suggestions.py b/backend/app/api/suggestions.py index beb6561..6bc63bd 100644 --- a/backend/app/api/suggestions.py +++ b/backend/app/api/suggestions.py @@ -70,7 +70,7 @@ async def _get_brand_scoring_data( """ # 获取品牌查询 queries_stmt = select(QueryModel).where( - QueryModel.user_id == user_id, + QueryModel.user_id == str(user_id), QueryModel.target_brand == brand.name, ) queries_result = await db.execute(queries_stmt) diff --git a/backend/app/models/agent.py b/backend/app/models/agent.py index eb0ea97..42df637 100644 --- a/backend/app/models/agent.py +++ b/backend/app/models/agent.py @@ -1,7 +1,7 @@ import uuid from datetime import datetime -from sqlalchemy import String, Integer, DateTime, ForeignKey, Index, func, Text +from sqlalchemy import String, Integer, Float, DateTime, ForeignKey, Index, func, Text from sqlalchemy import Uuid from sqlalchemy.orm import Mapped, mapped_column, relationship @@ -207,3 +207,102 @@ class AgentTaskLog(Base): Index("idx_agent_task_logs_agent_id", "agent_id"), Index("idx_agent_task_logs_created_at", "created_at"), ) + + +# ---- fischer-agentkit 扩展表 ---- + + +class EpisodicMemory(Base): + """经验记忆表 - 记录每次任务的输入/输出/效果/反思""" + __tablename__ = "episodic_memories" + + id: Mapped[uuid.UUID] = mapped_column( + Uuid(as_uuid=True), + primary_key=True, + default=uuid.uuid4, + ) + agent_name: Mapped[str] = mapped_column(String(50), nullable=False) + task_type: Mapped[str] = mapped_column(String(50), nullable=False) + input_data: Mapped[dict | None] = mapped_column(JSONType, nullable=True) + output_data: Mapped[dict | None] = mapped_column(JSONType, nullable=True) + success: Mapped[bool | None] = mapped_column(default=None, nullable=True) + quality_score: Mapped[float | None] = mapped_column(Float, nullable=True) + reflection: Mapped[str | None] = mapped_column(Text, nullable=True) + embedding_id: Mapped[str | None] = mapped_column(String(100), nullable=True) + tags: Mapped[dict | None] = mapped_column(JSONType, nullable=True) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), + server_default=func.now(), + nullable=False, + ) + + __table_args__ = ( + Index("idx_episodic_agent_name", "agent_name"), + Index("idx_episodic_task_type", "task_type"), + Index("idx_episodic_created_at", "created_at"), + ) + + +class EvolutionLog(Base): + """进化日志表 - 记录每次进化变更""" + __tablename__ = "evolution_logs" + + id: Mapped[uuid.UUID] = mapped_column( + Uuid(as_uuid=True), + primary_key=True, + default=uuid.uuid4, + ) + agent_name: Mapped[str] = mapped_column(String(50), nullable=False) + change_type: Mapped[str] = mapped_column(String(30), nullable=False) + before: Mapped[dict | None] = mapped_column(JSONType, nullable=True) + after: Mapped[dict | None] = mapped_column(JSONType, nullable=True) + metrics: Mapped[dict | None] = mapped_column(JSONType, nullable=True) + ab_test_id: Mapped[str | None] = mapped_column(String(100), nullable=True) + status: Mapped[str] = mapped_column(String(20), server_default="pending", nullable=False) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), + server_default=func.now(), + nullable=False, + ) + + __table_args__ = ( + Index("idx_evolution_agent_name", "agent_name"), + Index("idx_evolution_change_type", "change_type"), + Index("idx_evolution_status", "status"), + Index("idx_evolution_created_at", "created_at"), + ) + + +class ABTestConfig(Base): + """A/B测试配置表""" + __tablename__ = "ab_test_configs" + + id: Mapped[uuid.UUID] = mapped_column( + Uuid(as_uuid=True), + primary_key=True, + default=uuid.uuid4, + ) + agent_name: Mapped[str] = mapped_column(String(50), nullable=False) + test_name: Mapped[str] = mapped_column(String(100), nullable=False) + variant_a: Mapped[dict] = mapped_column(JSONType, nullable=False) + variant_b: Mapped[dict] = mapped_column(JSONType, nullable=False) + traffic_split: Mapped[float] = mapped_column(Float, server_default="0.5", nullable=False) + status: Mapped[str] = mapped_column(String(20), server_default="running", nullable=False) + winner: Mapped[str | None] = mapped_column(String(10), nullable=True) + metrics: Mapped[dict | None] = mapped_column(JSONType, nullable=True) + started_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), + server_default=func.now(), + nullable=False, + ) + ended_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True) + created_at: Mapped[datetime] = mapped_column( + DateTime(timezone=True), + server_default=func.now(), + nullable=False, + ) + + __table_args__ = ( + Index("idx_ab_test_agent_name", "agent_name"), + Index("idx_ab_test_status", "status"), + ) diff --git a/backend/app/services/auth.py b/backend/app/services/auth.py index 543540b..ba509bd 100644 --- a/backend/app/services/auth.py +++ b/backend/app/services/auth.py @@ -10,6 +10,7 @@ from sqlalchemy.ext.asyncio import AsyncSession from app.config import settings from app.models.user import User +from app.models.organization import Organization, OrgMember from app.schemas.auth import UserRegister, UpdateProfileRequest logger = logging.getLogger(__name__) @@ -75,6 +76,28 @@ async def register_user(db: AsyncSession, user_data: UserRegister) -> User: max_queries=5, ) db.add(user) + await db.flush() + + # Auto-create personal organization + org = Organization( + id=uuid.UUID(user.id), + name=f"{user_data.name}的个人空间", + slug=f"user-{user.id[:8]}", + plan="free", + ) + db.add(org) + await db.flush() + + org_member = OrgMember( + organization_id=org.id, + user_id=user.id, + role="owner", + ) + db.add(org_member) + + # Link user to organization + user.organization_id = org.id + await db.commit() await db.refresh(user) return user diff --git a/backend/app/services/scoring/brand_scoring_data_service.py b/backend/app/services/scoring/brand_scoring_data_service.py index 6619c0e..460b5e5 100644 --- a/backend/app/services/scoring/brand_scoring_data_service.py +++ b/backend/app/services/scoring/brand_scoring_data_service.py @@ -46,7 +46,7 @@ class BrandScoringDataService: brand: Brand, ) -> BrandScoringResult: queries_stmt = select(QueryModel).where( - QueryModel.user_id == user_id, + QueryModel.user_id == str(user_id), QueryModel.target_brand == brand.name, ) queries_result = await db.execute(queries_stmt) @@ -209,7 +209,7 @@ class BrandScoringDataService: return {platform: 0.0 for platform in REQUIRED_PLATFORMS} queries_stmt = select(QueryModel).where( - QueryModel.user_id == user_id, + QueryModel.user_id == str(user_id), QueryModel.target_brand == brand.name, ) queries_result = await db.execute(queries_stmt) @@ -264,7 +264,7 @@ class BrandScoringDataService: competitor_names = [c.name for c in competitors] competitor_queries_stmt = select(QueryModel).where( - QueryModel.user_id == user_id, + QueryModel.user_id == str(user_id), QueryModel.target_brand.in_(competitor_names), ) competitor_queries_result = await db.execute(competitor_queries_stmt) diff --git a/backend/requirements.txt b/backend/requirements.txt index 0e62bb4..b0d1acb 100644 --- a/backend/requirements.txt +++ b/backend/requirements.txt @@ -34,6 +34,9 @@ python-dotenv # YAML解析 pyyaml>=6.0 +# Agent框架（已独立为 fischer-agentkit 项目，代码仍保留在 app/agent_framework/ 中） +# fischer-agentkit>=0.1.0 + # 测试依赖 pytest>=8.0 pytest-asyncio>=0.23.0 diff --git a/frontend/package-lock.json b/frontend/package-lock.json index 7ba922b..cdbfa53 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -15,6 +15,7 @@ "@radix-ui/react-select": "^2.2.6", "@radix-ui/react-slot": "^1.2.4", "@radix-ui/react-tabs": "^1.1.13", + "@sentry/nextjs": "^9.47.1", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "lucide-react": "^1.8.0", @@ -48,15 +49,11 @@ }, "node_modules/@adobe/css-tools": { "version": "4.5.0", - "resolved": "https://registry.npmmirror.com/@adobe/css-tools/-/css-tools-4.5.0.tgz", - "integrity": "sha512-6OzddxPio9UiWTCemp4N8cYLV2ZN1ncRnV1cVGtve7dhPOtRkleRyx32GQCYSwDYgaHU3USMm84tNsvKzRCa1Q==", "dev": true, "license": "MIT" }, "node_modules/@alloc/quick-lru": { "version": "5.2.0", - "resolved": "https://registry.npmmirror.com/@alloc/quick-lru/-/quick-lru-5.2.0.tgz", - "integrity": 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"update-browserslist-db": "^1.2.3" + }, + "bin": { + "browserslist": "cli.js" + }, + "engines": { + "node": "^6 || ^7 || ^8 || ^9 || ^10 || ^11 || ^12 || >=13.7" + } + }, + "node_modules/buffer-from": { + "version": "1.1.2", + "resolved": "https://registry.npmmirror.com/buffer-from/-/buffer-from-1.1.2.tgz", + "integrity": "sha512-E+XQCRwSbaaiChtv6k6Dwgc+bx+Bs6vuKJHHl5kox/BaKbhiXzqQOwK4cO22yElGp2OCmjwVhT3HmxgyPGnJfQ==", + "license": "MIT", + "peer": true + }, "node_modules/busboy": { "version": "1.6.0", - "resolved": "https://registry.npmmirror.com/busboy/-/busboy-1.6.0.tgz", - "integrity": "sha512-8SFQbg/0hQ9xy3UNTB0YEnsNBbWfhf7RtnzpL7TkBiTBRfrQ9Fxcnz7VJsleJpyp6rVLvXiuORqjlHi5q+PYuA==", "dependencies": { "streamsearch": "^1.1.0" }, @@ -3520,8 +5644,6 @@ }, "node_modules/call-bind": { "version": "1.0.9", - "resolved": "https://registry.npmmirror.com/call-bind/-/call-bind-1.0.9.tgz", - "integrity": 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"sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ==", "dev": true, "license": "MIT", "engines": { @@ -3580,8 +5696,6 @@ }, "node_modules/camelcase-css": { "version": "2.0.1", - "resolved": "https://registry.npmmirror.com/camelcase-css/-/camelcase-css-2.0.1.tgz", - "integrity": "sha512-QOSvevhslijgYwRx6Rv7zKdMF8lbRmx+uQGx2+vDc+KI/eBnsy9kit5aj23AgGu3pa4t9AgwbnXWqS+iOY+2aA==", "license": "MIT", "engines": { "node": ">= 6" @@ -3589,8 +5703,6 @@ }, "node_modules/caniuse-lite": { "version": "1.0.30001790", - "resolved": "https://registry.npmmirror.com/caniuse-lite/-/caniuse-lite-1.0.30001790.tgz", - "integrity": "sha512-bOoxfJPyYo+ds6W0YfptaCWbFnJYjh2Y1Eow5lRv+vI2u8ganPZqNm1JwNh0t2ELQCqIWg4B3dWEusgAmsoyOw==", "funding": [ { "type": "opencollective", @@ -3609,8 +5721,6 @@ }, "node_modules/chai": { "version": "6.2.2", - "resolved": "https://registry.npmmirror.com/chai/-/chai-6.2.2.tgz", - "integrity": "sha512-NUPRluOfOiTKBKvWPtSD4PhFvWCqOi0BGStNWs57X9js7XGTprSmFoz5F0tWhR4WPjNeR9jXqdC7/UpSJTnlRg==", "dev": true, "license": "MIT", "engines": { @@ -3619,8 +5729,6 @@ }, "node_modules/chalk": { "version": "4.1.2", - "resolved": "https://registry.npmmirror.com/chalk/-/chalk-4.1.2.tgz", - "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==", "dev": true, "license": "MIT", "dependencies": { @@ -3636,8 +5744,6 @@ }, "node_modules/chokidar": { "version": "3.6.0", - "resolved": "https://registry.npmmirror.com/chokidar/-/chokidar-3.6.0.tgz", - "integrity": "sha512-7VT13fmjotKpGipCW9JEQAusEPE+Ei8nl6/g4FBAmIm0GOOLMua9NDDo/DWp0ZAxCr3cPq5ZpBqmPAQgDda2Pw==", "license": "MIT", "dependencies": { "anymatch": "~3.1.2", @@ -3660,8 +5766,6 @@ }, "node_modules/chokidar/node_modules/glob-parent": { "version": "5.1.2", - "resolved": "https://registry.npmmirror.com/glob-parent/-/glob-parent-5.1.2.tgz", - "integrity": "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==", "license": "ISC", "dependencies": { "is-glob": "^4.0.1" @@ -3670,10 +5774,24 @@ "node": ">= 6" } }, + "node_modules/chrome-trace-event": { + "version": "1.0.4", + "resolved": "https://registry.npmmirror.com/chrome-trace-event/-/chrome-trace-event-1.0.4.tgz", + "integrity": "sha512-rNjApaLzuwaOTjCiT8lSDdGN1APCiqkChLMJxJPWLunPAt5fy8xgU9/jNOchV84wfIxrA0lRQB7oCT8jrn/wrQ==", + "license": "MIT", + "peer": true, + "engines": { + "node": ">=6.0" + } + }, + "node_modules/cjs-module-lexer": { + "version": "1.4.3", + "resolved": "https://registry.npmmirror.com/cjs-module-lexer/-/cjs-module-lexer-1.4.3.tgz", + "integrity": "sha512-9z8TZaGM1pfswYeXrUpzPrkx8UnWYdhJclsiYMm6x/w5+nN+8Tf/LnAgfLGQCm59qAOxU8WwHEq2vNwF6i4j+Q==", + "license": "MIT" + }, "node_modules/class-variance-authority": { "version": "0.7.1", - "resolved": "https://registry.npmmirror.com/class-variance-authority/-/class-variance-authority-0.7.1.tgz", - "integrity": "sha512-Ka+9Trutv7G8M6WT6SeiRWz792K5qEqIGEGzXKhAE6xOWAY6pPH8U+9IY3oCMv6kqTmLsv7Xh/2w2RigkePMsg==", "license": "Apache-2.0", "dependencies": { "clsx": "^2.1.1" @@ -3684,14 +5802,10 @@ }, "node_modules/client-only": { "version": "0.0.1", - "resolved": "https://registry.npmmirror.com/client-only/-/client-only-0.0.1.tgz", - "integrity": "sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA==", "license": "MIT" }, "node_modules/clsx": { "version": "2.1.1", - "resolved": "https://registry.npmmirror.com/clsx/-/clsx-2.1.1.tgz", - "integrity": "sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==", "license": "MIT", "engines": { "node": ">=6" @@ -3699,9 +5813,6 @@ }, "node_modules/color-convert": { "version": "2.0.1", - "resolved": "https://registry.npmmirror.com/color-convert/-/color-convert-2.0.1.tgz", - "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==", - "dev": true, "license": "MIT", "dependencies": { "color-name": "~1.1.4" @@ -3712,38 +5823,32 @@ }, "node_modules/color-name": { "version": "1.1.4", - "resolved": "https://registry.npmmirror.com/color-name/-/color-name-1.1.4.tgz", - "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==", - "dev": true, "license": "MIT" }, "node_modules/commander": { "version": "4.1.1", - "resolved": "https://registry.npmmirror.com/commander/-/commander-4.1.1.tgz", - "integrity": "sha512-NOKm8xhkzAjzFx8B2v5OAHT+u5pRQc2UCa2Vq9jYL/31o2wi9mxBA7LIFs3sV5VSC49z6pEhfbMULvShKj26WA==", "license": "MIT", "engines": { "node": ">= 6" } }, + "node_modules/commondir": { + "version": "1.0.1", + "resolved": "https://registry.npmmirror.com/commondir/-/commondir-1.0.1.tgz", + "integrity": "sha512-W9pAhw0ja1Edb5GVdIF1mjZw/ASI0AlShXM83UUGe2DVr5TdAPEA1OA8m/g8zWp9x6On7gqufY+FatDbC3MDQg==", + "license": "MIT" + }, "node_modules/concat-map": { "version": "0.0.1", - "resolved": "https://registry.npmmirror.com/concat-map/-/concat-map-0.0.1.tgz", - "integrity": "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==", "dev": true, "license": "MIT" }, "node_modules/convert-source-map": { "version": "2.0.0", - "resolved": "https://registry.npmmirror.com/convert-source-map/-/convert-source-map-2.0.0.tgz", - "integrity": "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg==", - "dev": true, "license": "MIT" }, "node_modules/cookie": { "version": "0.7.2", - "resolved": "https://registry.npmmirror.com/cookie/-/cookie-0.7.2.tgz", - "integrity": "sha512-yki5XnKuf750l50uGTllt6kKILY4nQ1eNIQatoXEByZ5dWgnKqbnqmTrBE5B4N7lrMJKQ2ytWMiTO2o0v6Ew/w==", "license": "MIT", "engines": { "node": ">= 0.6" @@ -3751,8 +5856,6 @@ }, "node_modules/cross-spawn": { "version": "7.0.6", - "resolved": "https://registry.npmmirror.com/cross-spawn/-/cross-spawn-7.0.6.tgz", - "integrity": "sha512-uV2QOWP2nWzsy2aMp8aRibhi9dlzF5Hgh5SHaB9OiTGEyDTiJJyx0uy51QXdyWbtAHNua4XJzUKca3OzKUd3vA==", "dev": true, "license": "MIT", "dependencies": { @@ -3766,8 +5869,6 @@ }, "node_modules/css-tree": { "version": "3.2.1", - "resolved": "https://registry.npmmirror.com/css-tree/-/css-tree-3.2.1.tgz", - "integrity": "sha512-X7sjQzceUhu1u7Y/ylrRZFU2FS6LRiFVp6rKLPg23y3x3c3DOKAwuXGDp+PAGjh6CSnCjYeAul8pcT8bAl+lSA==", "dev": true, "license": "MIT", "dependencies": { @@ -3780,15 +5881,11 @@ }, "node_modules/css.escape": { "version": "1.5.1", - "resolved": "https://registry.npmmirror.com/css.escape/-/css.escape-1.5.1.tgz", - "integrity": "sha512-YUifsXXuknHlUsmlgyY0PKzgPOr7/FjCePfHNt0jxm83wHZi44VDMQ7/fGNkjY3/jV1MC+1CmZbaHzugyeRtpg==", "dev": true, "license": "MIT" }, "node_modules/cssesc": { "version": "3.0.0", - "resolved": "https://registry.npmmirror.com/cssesc/-/cssesc-3.0.0.tgz", - "integrity": "sha512-/Tb/JcjK111nNScGob5MNtsntNM1aCNUDipB/TkwZFhyDrrE47SOx/18wF2bbjgc3ZzCSKW1T5nt5EbFoAz/Vg==", "license": "MIT", "bin": { "cssesc": "bin/cssesc" @@ -3799,14 +5896,10 @@ }, "node_modules/csstype": { "version": "3.2.3", - "resolved": "https://registry.npmmirror.com/csstype/-/csstype-3.2.3.tgz", - "integrity": "sha512-z1HGKcYy2xA8AGQfwrn0PAy+PB7X/GSj3UVJW9qKyn43xWa+gl5nXmU4qqLMRzWVLFC8KusUX8T/0kCiOYpAIQ==", "license": "MIT" }, "node_modules/d3-array": { "version": "3.2.4", - "resolved": "https://registry.npmmirror.com/d3-array/-/d3-array-3.2.4.tgz", - "integrity": "sha512-tdQAmyA18i4J7wprpYq8ClcxZy3SC31QMeByyCFyRt7BVHdREQZ5lpzoe5mFEYZUWe+oq8HBvk9JjpibyEV4Jg==", "license": "ISC", "dependencies": { "internmap": "1 - 2" @@ -3817,8 +5910,6 @@ }, "node_modules/d3-color": { "version": "3.1.0", - "resolved": "https://registry.npmmirror.com/d3-color/-/d3-color-3.1.0.tgz", - "integrity": "sha512-zg/chbXyeBtMQ1LbD/WSoW2DpC3I0mpmPdW+ynRTj/x2DAWYrIY7qeZIHidozwV24m4iavr15lNwIwLxRmOxhA==", "license": "ISC", "engines": { "node": ">=12" @@ -3826,8 +5917,6 @@ }, "node_modules/d3-ease": { "version": "3.0.1", - "resolved": "https://registry.npmmirror.com/d3-ease/-/d3-ease-3.0.1.tgz", - "integrity": "sha512-wR/XK3D3XcLIZwpbvQwQ5fK+8Ykds1ip7A2Txe0yxncXSdq1L9skcG7blcedkOX+ZcgxGAmLX1FrRGbADwzi0w==", "license": "BSD-3-Clause", "engines": { "node": ">=12" @@ -3835,8 +5924,6 @@ }, "node_modules/d3-format": { "version": "3.1.2", - "resolved": "https://registry.npmmirror.com/d3-format/-/d3-format-3.1.2.tgz", - "integrity": "sha512-AJDdYOdnyRDV5b6ArilzCPPwc1ejkHcoyFarqlPqT7zRYjhavcT3uSrqcMvsgh2CgoPbK3RCwyHaVyxYcP2Arg==", "license": "ISC", "engines": { "node": ">=12" @@ -3844,8 +5931,6 @@ }, "node_modules/d3-interpolate": { "version": "3.0.1", - "resolved": "https://registry.npmmirror.com/d3-interpolate/-/d3-interpolate-3.0.1.tgz", - "integrity": "sha512-3bYs1rOD33uo8aqJfKP3JWPAibgw8Zm2+L9vBKEHJ2Rg+viTR7o5Mmv5mZcieN+FRYaAOWX5SJATX6k1PWz72g==", "license": "ISC", "dependencies": { "d3-color": "1 - 3" @@ -3856,8 +5941,6 @@ }, "node_modules/d3-path": { "version": "3.1.0", - "resolved": "https://registry.npmmirror.com/d3-path/-/d3-path-3.1.0.tgz", - "integrity": "sha512-p3KP5HCf/bvjBSSKuXid6Zqijx7wIfNW+J/maPs+iwR35at5JCbLUT0LzF1cnjbCHWhqzQTIN2Jpe8pRebIEFQ==", "license": "ISC", "engines": { "node": ">=12" @@ -3865,8 +5948,6 @@ }, "node_modules/d3-scale": { "version": "4.0.2", - "resolved": "https://registry.npmmirror.com/d3-scale/-/d3-scale-4.0.2.tgz", - "integrity": "sha512-GZW464g1SH7ag3Y7hXjf8RoUuAFIqklOAq3MRl4OaWabTFJY9PN/E1YklhXLh+OQ3fM9yS2nOkCoS+WLZ6kvxQ==", "license": "ISC", "dependencies": { "d3-array": "2.10.0 - 3", @@ -3881,8 +5962,6 @@ }, "node_modules/d3-shape": { "version": "3.2.0", - "resolved": "https://registry.npmmirror.com/d3-shape/-/d3-shape-3.2.0.tgz", - "integrity": "sha512-SaLBuwGm3MOViRq2ABk3eLoxwZELpH6zhl3FbAoJ7Vm1gofKx6El1Ib5z23NUEhF9AsGl7y+dzLe5Cw2AArGTA==", "license": "ISC", "dependencies": { "d3-path": "^3.1.0" @@ -3893,8 +5972,6 @@ }, "node_modules/d3-time": { "version": "3.1.0", - "resolved": "https://registry.npmmirror.com/d3-time/-/d3-time-3.1.0.tgz", - "integrity": "sha512-VqKjzBLejbSMT4IgbmVgDjpkYrNWUYJnbCGo874u7MMKIWsILRX+OpX/gTk8MqjpT1A/c6HY2dCA77ZN0lkQ2Q==", "license": "ISC", "dependencies": { "d3-array": "2 - 3" @@ -3905,8 +5982,6 @@ }, "node_modules/d3-time-format": { "version": "4.1.0", - "resolved": "https://registry.npmmirror.com/d3-time-format/-/d3-time-format-4.1.0.tgz", - "integrity": "sha512-dJxPBlzC7NugB2PDLwo9Q8JiTR3M3e4/XANkreKSUxF8vvXKqm1Yfq4Q5dl8budlunRVlUUaDUgFt7eA8D6NLg==", "license": "ISC", "dependencies": { "d3-time": "1 - 3" @@ -3917,8 +5992,6 @@ }, "node_modules/d3-timer": { "version": "3.0.1", - "resolved": "https://registry.npmmirror.com/d3-timer/-/d3-timer-3.0.1.tgz", - "integrity": "sha512-ndfJ/JxxMd3nw31uyKoY2naivF+r29V+Lc0svZxe1JvvIRmi8hUsrMvdOwgS1o6uBHmiz91geQ0ylPP0aj1VUA==", "license": "ISC", "engines": { "node": ">=12" @@ -3926,15 +5999,11 @@ }, "node_modules/damerau-levenshtein": { "version": "1.0.8", - "resolved": "https://registry.npmmirror.com/damerau-levenshtein/-/damerau-levenshtein-1.0.8.tgz", - "integrity": "sha512-sdQSFB7+llfUcQHUQO3+B8ERRj0Oa4w9POWMI/puGtuf7gFywGmkaLCElnudfTiKZV+NvHqL0ifzdrI8Ro7ESA==", "dev": true, "license": "BSD-2-Clause" }, "node_modules/data-urls": { "version": "7.0.0", - "resolved": "https://registry.npmmirror.com/data-urls/-/data-urls-7.0.0.tgz", - "integrity": "sha512-23XHcCF+coGYevirZceTVD7NdJOqVn+49IHyxgszm+JIiHLoB2TkmPtsYkNWT1pvRSGkc35L6NHs0yHkN2SumA==", "dev": true, "license": "MIT", "dependencies": { @@ -3947,8 +6016,6 @@ }, "node_modules/data-view-buffer": { "version": "1.0.2", - "resolved": "https://registry.npmmirror.com/data-view-buffer/-/data-view-buffer-1.0.2.tgz", - "integrity": "sha512-EmKO5V3OLXh1rtK2wgXRansaK1/mtVdTUEiEI0W8RkvgT05kfxaH29PliLnpLP73yYO6142Q72QNa8Wx/A5CqQ==", "dev": true, "license": "MIT", "dependencies": { @@ -3965,8 +6032,6 @@ }, "node_modules/data-view-byte-length": { "version": "1.0.2", - "resolved": "https://registry.npmmirror.com/data-view-byte-length/-/data-view-byte-length-1.0.2.tgz", - "integrity": "sha512-tuhGbE6CfTM9+5ANGf+oQb72Ky/0+s3xKUpHvShfiz2RxMFgFPjsXuRLBVMtvMs15awe45SRb83D6wH4ew6wlQ==", "dev": true, "license": "MIT", "dependencies": { @@ -3983,8 +6048,6 @@ }, "node_modules/data-view-byte-offset": { "version": "1.0.1", - "resolved": "https://registry.npmmirror.com/data-view-byte-offset/-/data-view-byte-offset-1.0.1.tgz", - "integrity": "sha512-BS8PfmtDGnrgYdOonGZQdLZslWIeCGFP9tpan0hi1Co2Zr2NKADsvGYA8XxuG/4UWgJ6Cjtv+YJnB6MM69QGlQ==", "dev": true, "license": "MIT", "dependencies": { @@ -4001,9 +6064,6 @@ }, "node_modules/debug": { "version": "4.4.3", - "resolved": "https://registry.npmmirror.com/debug/-/debug-4.4.3.tgz", - 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"resolved": "https://registry.npmmirror.com/flatted/-/flatted-3.4.2.tgz", - "integrity": "sha512-PjDse7RzhcPkIJwy5t7KPWQSZ9cAbzQXcafsetQoD7sOJRQlGikNbx7yZp2OotDnJyrDcbyRq3Ttb18iYOqkxA==", "dev": true, "license": "ISC" }, "node_modules/for-each": { "version": "0.3.5", - "resolved": "https://registry.npmmirror.com/for-each/-/for-each-0.3.5.tgz", - "integrity": "sha512-dKx12eRCVIzqCxFGplyFKJMPvLEWgmNtUrpTiJIR5u97zEhRG8ySrtboPHZXx7daLxQVrl643cTzbab2tkQjxg==", "dev": true, "license": "MIT", "dependencies": { @@ -4984,8 +6974,6 @@ }, "node_modules/foreground-child": { "version": "3.3.1", - "resolved": "https://registry.npmmirror.com/foreground-child/-/foreground-child-3.3.1.tgz", - "integrity": "sha512-gIXjKqtFuWEgzFRJA9WCQeSJLZDjgJUOMCMzxtvFq/37KojM1BFGufqsCy0r4qSQmYLsZYMeyRqzIWOMup03sw==", "dev": true, "license": "ISC", "dependencies": { @@ -4999,18 +6987,18 @@ "url": "https://github.com/sponsors/isaacs" } }, + "node_modules/forwarded-parse": { + "version": "2.1.2", + "resolved": "https://registry.npmmirror.com/forwarded-parse/-/forwarded-parse-2.1.2.tgz", + "integrity": "sha512-alTFZZQDKMporBH77856pXgzhEzaUVmLCDk+egLgIgHst3Tpndzz8MnKe+GzRJRfvVdn69HhpW7cmXzvtLvJAw==", + "license": "MIT" + }, "node_modules/fs.realpath": { "version": "1.0.0", - 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"resolved": "https://registry.npmmirror.com/imurmurhash/-/imurmurhash-0.1.4.tgz", - "integrity": "sha512-JmXMZ6wuvDmLiHEml9ykzqO6lwFbof0GG4IkcGaENdCRDDmMVnny7s5HsIgHCbaq0w2MyPhDqkhTUgS2LU2PHA==", "dev": true, "license": "MIT", "engines": { @@ -5421,8 +7398,6 @@ }, "node_modules/indent-string": { "version": "4.0.0", - "resolved": "https://registry.npmmirror.com/indent-string/-/indent-string-4.0.0.tgz", - "integrity": "sha512-EdDDZu4A2OyIK7Lr/2zG+w5jmbuk1DVBnEwREQvBzspBJkCEbRa8GxU1lghYcaGJCnRWibjDXlq779X1/y5xwg==", "dev": true, "license": "MIT", "engines": { @@ -5431,9 +7406,6 @@ }, "node_modules/inflight": { "version": "1.0.6", - "resolved": "https://registry.npmmirror.com/inflight/-/inflight-1.0.6.tgz", - "integrity": "sha512-k92I/b08q4wvFscXCLvqfsHCrjrF7yiXsQuIVvVE7N82W3+aqpzuUdBbfhWcy/FZR3/4IgflMgKLOsvPDrGCJA==", - "deprecated": "This module is not supported, and leaks memory. Do not use it. Check out lru-cache if you want a good and tested way to coalesce async requests by a key value, which is much more comprehensive and powerful.", "dev": true, "license": "ISC", "dependencies": { @@ -5443,15 +7415,11 @@ }, "node_modules/inherits": { "version": "2.0.4", - "resolved": "https://registry.npmmirror.com/inherits/-/inherits-2.0.4.tgz", - "integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==", "dev": true, "license": "ISC" }, "node_modules/internal-slot": { "version": "1.1.0", - "resolved": "https://registry.npmmirror.com/internal-slot/-/internal-slot-1.1.0.tgz", - "integrity": "sha512-4gd7VpWNQNB4UKKCFFVcp1AVv+FMOgs9NKzjHKusc8jTMhd5eL1NqQqOpE0KzMds804/yHlglp3uxgluOqAPLw==", "dev": true, "license": "MIT", "dependencies": { @@ -5465,8 +7433,6 @@ }, "node_modules/internmap": { "version": "2.0.3", - "resolved": "https://registry.npmmirror.com/internmap/-/internmap-2.0.3.tgz", - "integrity": "sha512-5Hh7Y1wQbvY5ooGgPbDaL5iYLAPzMTUrjMulskHLH6wnv/A+1q5rgEaiuqEjB+oxGXIVZs1FF+R/KPN3ZSQYYg==", "license": "ISC", "engines": { "node": ">=12" @@ -5474,8 +7440,6 @@ }, "node_modules/is-array-buffer": { "version": "3.0.5", - 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"integrity": "sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw==", "license": "MIT", "dependencies": { "binary-extensions": "^2.0.0" @@ -5540,8 +7498,6 @@ }, "node_modules/is-boolean-object": { "version": "1.2.2", - "resolved": "https://registry.npmmirror.com/is-boolean-object/-/is-boolean-object-1.2.2.tgz", - "integrity": "sha512-wa56o2/ElJMYqjCjGkXri7it5FbebW5usLw/nPmCMs5DeZ7eziSYZhSmPRn0txqeW4LnAmQQU7FgqLpsEFKM4A==", "dev": true, "license": "MIT", "dependencies": { @@ -5557,8 +7513,6 @@ }, "node_modules/is-bun-module": { "version": "2.0.0", - "resolved": "https://registry.npmmirror.com/is-bun-module/-/is-bun-module-2.0.0.tgz", - "integrity": "sha512-gNCGbnnnnFAUGKeZ9PdbyeGYJqewpmc2aKHUEMO5nQPWU9lOmv7jcmQIv+qHD8fXW6W7qfuCwX4rY9LNRjXrkQ==", "dev": true, "license": "MIT", "dependencies": { @@ -5567,8 +7521,6 @@ }, "node_modules/is-callable": { "version": "1.2.7", - "resolved": "https://registry.npmmirror.com/is-callable/-/is-callable-1.2.7.tgz", - "integrity": "sha512-1BC0BVFhS/p0qtw6enp8e+8OD0UrK0oFLztSjNzhcKA3WDuJxxAPXzPuPtKkjEY9UUoEWlX/8fgKeu2S8i9JTA==", "dev": true, "license": "MIT", "engines": { @@ -5580,8 +7532,6 @@ }, "node_modules/is-core-module": { "version": "2.16.1", - "resolved": "https://registry.npmmirror.com/is-core-module/-/is-core-module-2.16.1.tgz", - "integrity": "sha512-UfoeMA6fIJ8wTYFEUjelnaGI67v6+N7qXJEvQuIGa99l4xsCruSYOVSQ0uPANn4dAzm8lkYPaKLrrijLq7x23w==", "license": "MIT", "dependencies": { "hasown": "^2.0.2" @@ -5595,8 +7545,6 @@ }, "node_modules/is-data-view": { "version": "1.0.2", - "resolved": "https://registry.npmmirror.com/is-data-view/-/is-data-view-1.0.2.tgz", - "integrity": "sha512-RKtWF8pGmS87i2D6gqQu/l7EYRlVdfzemCJN/P3UOs//x1QE7mfhvzHIApBTRf7axvT6DMGwSwBXYCT0nfB9xw==", "dev": true, "license": "MIT", "dependencies": { @@ -5613,8 +7561,6 @@ }, "node_modules/is-date-object": { "version": "1.1.0", - "resolved": "https://registry.npmmirror.com/is-date-object/-/is-date-object-1.1.0.tgz", - "integrity": "sha512-PwwhEakHVKTdRNVOw+/Gyh0+MzlCl4R6qKvkhuvLtPMggI1WAHt9sOwZxQLSGpUaDnrdyDsomoRgNnCfKNSXXg==", "dev": true, "license": "MIT", "dependencies": { @@ -5630,8 +7576,6 @@ }, "node_modules/is-extglob": { "version": "2.1.1", - 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"resolved": "https://registry.npmmirror.com/jackspeak/-/jackspeak-2.3.6.tgz", - "integrity": "sha512-N3yCS/NegsOBokc8GAdM8UcmfsKiSS8cipheD/nivzr700H+nsMOxJjQnvwOcRYVuFkdH0wGUvW2WbXGmrZGbQ==", "dev": true, "license": "BlueOak-1.0.0", "dependencies": { @@ -5999,10 +7899,39 @@ "@pkgjs/parseargs": "^0.11.0" } }, + "node_modules/jest-worker": { + "version": "27.5.1", + "resolved": "https://registry.npmmirror.com/jest-worker/-/jest-worker-27.5.1.tgz", + "integrity": "sha512-7vuh85V5cdDofPyxn58nrPjBktZo0u9x1g8WtjQol+jZDaE+fhN+cIvTj11GndBnMnyfrUOG1sZQxCdjKh+DKg==", + "license": "MIT", + "peer": true, + "dependencies": { + "@types/node": "*", + "merge-stream": "^2.0.0", + "supports-color": "^8.0.0" + }, + "engines": { + "node": ">= 10.13.0" + } + }, + "node_modules/jest-worker/node_modules/supports-color": { + "version": "8.1.1", + "resolved": "https://registry.npmmirror.com/supports-color/-/supports-color-8.1.1.tgz", + "integrity": "sha512-MpUEN2OodtUzxvKQl72cUF7RQ5EiHsGvSsVG0ia9c5RbWGL2CI4C7EpPS8UTBIplnlzZiNuV56w+FuNxy3ty2Q==", + "license": "MIT", + "peer": true, + "dependencies": { + "has-flag": "^4.0.0" + }, + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/chalk/supports-color?sponsor=1" + } + }, "node_modules/jiti": { "version": "1.21.7", - "resolved": "https://registry.npmmirror.com/jiti/-/jiti-1.21.7.tgz", - "integrity": "sha512-/imKNG4EbWNrVjoNC/1H5/9GFy+tqjGBHCaSsN+P2RnPqjsLmv6UD3Ej+Kj8nBWaRAwyk7kK5ZUc+OEatnTR3A==", "license": "MIT", "bin": { "jiti": "bin/jiti.js" @@ -6010,8 +7939,6 @@ }, "node_modules/jose": { "version": "4.15.9", - "resolved": "https://registry.npmmirror.com/jose/-/jose-4.15.9.tgz", - "integrity": "sha512-1vUQX+IdDMVPj4k8kOxgUqlcK518yluMuGZwqlr44FS1ppZB/5GWh4rZG89erpOBOJjU/OBsnCVFfapsRz6nEA==", "license": "MIT", "funding": { "url": "https://github.com/sponsors/panva" @@ -6019,14 +7946,10 @@ }, "node_modules/js-tokens": { "version": "4.0.0", - "resolved": "https://registry.npmmirror.com/js-tokens/-/js-tokens-4.0.0.tgz", - "integrity": "sha512-RdJUflcE3cUzKiMqQgsCu06FPu9UdIJO0beYbPhHN4k6apgJtifcoCtT9bcxOpYBtpD2kCM6Sbzg4CausW/PKQ==", "license": "MIT" }, "node_modules/js-yaml": { "version": "4.1.1", - "resolved": "https://registry.npmmirror.com/js-yaml/-/js-yaml-4.1.1.tgz", - "integrity": "sha512-qQKT4zQxXl8lLwBtHMWwaTcGfFOZviOJet3Oy/xmGk2gZH677CJM9EvtfdSkgWcATZhj/55JZ0rmy3myCT5lsA==", "dev": true, "license": "MIT", "dependencies": { @@ -6038,8 +7961,6 @@ }, "node_modules/jsdom": { "version": "29.1.1", - "resolved": "https://registry.npmmirror.com/jsdom/-/jsdom-29.1.1.tgz", - "integrity": "sha512-ECi4Fi2f7BdJtUKTflYRTiaMxIB0O6zfR1fX0GXpUrf6flp8QIYn1UT20YQqdSOfk2dfkCwS8LAFoJDEppNK5Q==", "dev": true, "license": "MIT", "dependencies": { @@ -6079,39 +8000,41 @@ }, "node_modules/jsdom/node_modules/lru-cache": { "version": "11.5.0", - "resolved": "https://registry.npmmirror.com/lru-cache/-/lru-cache-11.5.0.tgz", - "integrity": "sha512-5YgH9UJd7wVb9hIouI2adWpgqrrICkt070Dnj8EUY1+B4B2P9eRLPAkAAo6NICA7CEhOIeBHl46u9zSNpNu7zA==", "dev": true, "license": "BlueOak-1.0.0", "engines": { "node": "20 || >=22" } }, + "node_modules/jsesc": { + "version": "3.1.0", + "resolved": "https://registry.npmmirror.com/jsesc/-/jsesc-3.1.0.tgz", + "integrity": "sha512-/sM3dO2FOzXjKQhJuo0Q173wf2KOo8t4I8vHy6lF9poUp7bKT0/NHE8fPX23PwfhnykfqnC2xRxOnVw5XuGIaA==", + "license": "MIT", + "bin": { + "jsesc": "bin/jsesc" + }, + "engines": { + "node": ">=6" + } + }, "node_modules/json-buffer": { "version": "3.0.1", - "resolved": "https://registry.npmmirror.com/json-buffer/-/json-buffer-3.0.1.tgz", - 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"resolved": "https://registry.npmmirror.com/natural-compare/-/natural-compare-1.4.0.tgz", - "integrity": "sha512-OWND8ei3VtNC9h7V60qff3SVobHr996CTwgxubgyQYEpg290h9J0buyECNNJexkFm5sOajh5G116RYA1c8ZMSw==", "dev": true, "license": "MIT" }, + "node_modules/neo-async": { + "version": "2.6.2", + "resolved": "https://registry.npmmirror.com/neo-async/-/neo-async-2.6.2.tgz", + "integrity": "sha512-Yd3UES5mWCSqR+qNT93S3UoYUkqAZ9lLg8a7g9rimsWmYGK8cVToA4/sF3RrshdyV3sAGMXVUmpMYOw+dLpOuw==", + "license": "MIT", + "peer": true + }, "node_modules/next": { "version": "14.2.35", - "resolved": "https://registry.npmmirror.com/next/-/next-14.2.35.tgz", - "integrity": "sha512-KhYd2Hjt/O1/1aZVX3dCwGXM1QmOV4eNM2UTacK5gipDdPN/oHHK/4oVGy7X8GMfPMsUTUEmGlsy0EY1YGAkig==", "license": "MIT", "dependencies": { "@next/env": "14.2.35", @@ -6759,8 +8655,6 @@ }, "node_modules/next-auth": { "version": "4.24.14", - "resolved": "https://registry.npmmirror.com/next-auth/-/next-auth-4.24.14.tgz", - "integrity": "sha512-YRz6xFDXKUwiXSMMChbrBEWyFktZ1qZXEgeSHQQ3nsy08B4c/xLk6REeutRsIFwkjY/1+ShHnu07DN3JeJguig==", "license": "ISC", "dependencies": { "@babel/runtime": "^7.20.13", @@ -6791,8 +8685,6 @@ }, "node_modules/next/node_modules/postcss": { "version": "8.4.31", - 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"@sentry/nextjs": "^9.0.0", + "@sentry/nextjs": "^9.47.1", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "lucide-react": "^1.8.0",