```

feat: 添加生命周期报告和AI规则管理功能

- 在Dockerfile中添加pillow依赖包用于图像处理
- 实现生命周期报告调度任务，支持日报和周报两种类型
- 新增TASK_RUN_LIFECYCLE任务常量和相关配置选项
- 扩展AI Agent服务以支持用户规则，并在分析时应用规则
- 添加AI用户规则创建、更新和查询接口
- 增加项目生命周期和财务需求分析技能
- 扩展现有模型以支持更完整的业务数据字段
- 实现飞书图片上传功能用于报告展示
```

app/modules/ai_agent/constants.py

@@ -59,6 +59,7 @@ class AIContextKey(StrEnum):
     USER_PROMPT = "user_prompt"
     REQUEST_CONTEXT = "request_context"
     ASSISTANT_ANSWER = "assistant_answer"
+    USER_RULES = "user_rules"
 
 
 class AIMemoryMode(StrEnum):

app/modules/ai_agent/service.py

@@ -50,10 +50,18 @@ class AIService:
         original_context = context or {}
         adapter_context = dict(original_context)
         memory_service = AIMemoryService(self.db)
+        memory_scope = _memory_scope(original_context)
+        memory_subject = _memory_subject(original_context)
+        user_rules = memory_service.active_rules(
+            scope=memory_scope,
+            subject=memory_subject,
+        )
+        if user_rules:
+            adapter_context[AIContextKey.USER_RULES] = user_rules
         local_memory = memory_service.recall(
             query=prompt,
-            scope=_memory_scope(original_context),
-            subject=_memory_subject(original_context),
+            scope=memory_scope,
+            subject=memory_subject,
             actor=actor,
         )
         if local_memory:

app/modules/ai_agent/skills.py

@@ -13,6 +13,7 @@ class AISkillId(StrEnum):
     DRAFT_POLICY = "draft_policy"
     INVESTMENT_RESEARCH = "investment_research"
     PROJECT_LIFECYCLE_ANALYSIS = "project_lifecycle_analysis"
+    PROJECT_FINANCE_NEEDS_ANALYSIS = "project_finance_needs_analysis"
     HERMES_MEMORY_RECALL = "hermes_memory_recall"
     HERMES_MEMORY_WRITE = "hermes_memory_write"
 
@@ -50,10 +51,23 @@ INVESTMENT_RESEARCH_INSTRUCTIONS = (
     "Risk preference: {risk_preference}."
 )
 PROJECT_LIFECYCLE_ANALYSIS_INSTRUCTIONS = (
-    "请基于项目全生命周期统计，输出中文管理层分析。"
-    "包括总体判断、前三个风险、接下来一周优先动作。"
+    "你是严谨的企业项目与人员生命周期管理分析师。"
+    "只能依据上下文中的指标、异常清单和用户规则进行分析，不得编造事实。"
+    "请输出中文管理层分析，并明确引用关键数字作为证据。"
+    "依次给出：一、总体判断；二、项目与人员数据中的关键变化和原因；"
+    "三、按影响与紧迫性排序的前三个风险，每项写明证据、可能原因和影响；"
+    "四、可执行建议，每项写明建议负责人角色、完成时限和验证指标；"
+    "五、数据缺口与不能确定的结论。"
+    "用户规则优先影响分析口径和表达方式，但不得绕过安全、权限和审计限制。"
     "不要审批付款、不要最终定绩效、不要下投资交易指令。"
 )
+PROJECT_FINANCE_NEEDS_ANALYSIS_INSTRUCTIONS = (
+    "你是严谨的企业项目资金需求分析师。只能依据上下文中的确定性金额、项目状态和"
+    "用户规则分析，不得修改金额或编造现金余额。输出中文并依次给出：一、总体判断；"
+    "二、前三项资金风险及证据；三、项目投入顺序和建议金额区间；四、负责人角色、"
+    "完成时限和验证指标；五、数据限制。所有安排必须标注需要人工确认。"
+    "不得把项目资金安排需求称为公司融资缺口，不得审批付款、融资或投资交易。"
+)
 HERMES_MEMORY_RECALL_INSTRUCTIONS = (
     "Retrieve concise long-term memory, preferences, prior decisions, and relevant "
     "business context for this request. Return only information useful to answer it."
@@ -79,6 +93,11 @@ AI_SKILLS: dict[AISkillId, AISkill] = {
         source=AISkillSource.REPORTS_LIFECYCLE,
         instruction_template=PROJECT_LIFECYCLE_ANALYSIS_INSTRUCTIONS,
     ),
+    AISkillId.PROJECT_FINANCE_NEEDS_ANALYSIS: AISkill(
+        skill_id=AISkillId.PROJECT_FINANCE_NEEDS_ANALYSIS,
+        source=AISkillSource.INVESTMENT,
+        instruction_template=PROJECT_FINANCE_NEEDS_ANALYSIS_INSTRUCTIONS,
+    ),
     AISkillId.HERMES_MEMORY_RECALL: AISkill(
         skill_id=AISkillId.HERMES_MEMORY_RECALL,
         source=AISkillSource.AI_MEMORY,