Files
aiops/backend/controller/agent_cli_history.go
T
LoganandClaude 471353e3d7 feat: 监控告警体系统一重构 + 自动化任务调度引擎 + 监控大屏拆分
告警中心
- 新增统一告警(alert_unified)、监控告警规则(monitor_alert_rule)、指标目录(alert_metric_catalog)
- 通知策略与消息分发(alert_notify_policy/dispatch/message)、静默规则
- 告警引擎按阈值/SNMP 拆分(alert_engine_monitor/snmp)

监控采集
- SNMP 常量/模板与历史指标(snmp templates/constants、snmp_metrics_history、snmp_collect)
- 中间件监控 Redis 采集与种子(middleware_monitor_redis/seed)
- 站点探测 pkg(siteprobe) + 站点视图(site_view)

自动化任务
- cron 调度器(cronscheduler)、脚本运行器(scriptrunner)、系统任务(systask)及运行记录(cron_job_run、system_task)

审计与凭证
- 审计设置(audit_setting) + 历史清理(auditcleaner)

前端
- 监控页面(host/middleware/site/snmp)拆分为子模块并大屏化
- 告警中心多 Tab(规则/指标目录/通知策略/静默)、任务管理组件重构、Agent CLI Markdown 渲染
- 移除旧脚本卡片/详情/日志组件,统一为 ScriptTable/ScriptCodeEditor/TerminalOutput

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-01 23:44:45 +08:00

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// agent_cli_history.go - Agent CLI 历史会话恢复为 LLM 对话上下文 // Logan.Li
package controller
import (
"encoding/json"
"fmt"
"ezops/model"
"ezops/pkg/agentcli/llm"
)
// buildConvHistoryFromMessages 将 DB 消息重建为追问用的 prior 历史(不含 system) // Logan.Li
func buildConvHistoryFromMessages(msgs []model.AgentCLIMessage) []llm.Message {
var out []llm.Message
var pendingThought string
var pendingToolCalls []llm.ToolCall
var pendingToolCallIDs []string
flushAssistant := func() {
if pendingThought == "" && len(pendingToolCalls) == 0 {
return
}
out = append(out, llm.Message{
Role: "assistant",
Content: pendingThought,
ToolCalls: append([]llm.ToolCall(nil), pendingToolCalls...),
})
for _, tc := range pendingToolCalls {
pendingToolCallIDs = append(pendingToolCallIDs, tc.ID)
}
pendingThought = ""
pendingToolCalls = nil
}
for _, m := range msgs {
switch m.Type {
case "user":
flushAssistant()
out = append(out, llm.Message{Role: "user", Content: m.Content})
case "thought":
pendingThought = m.Content
case "tool_call":
args := validateToolArgsJSON(m.ToolArgs)
tcID := fmt.Sprintf("hist-%d", m.ID)
pendingToolCalls = append(pendingToolCalls, llm.ToolCall{
ID: tcID, Type: "function",
Function: llm.FunctionCall{Name: m.ToolName, Arguments: args},
})
case "tool_result":
if pendingThought != "" || len(pendingToolCalls) > 0 {
flushAssistant()
}
toolID := ""
if len(pendingToolCallIDs) > 0 {
toolID = pendingToolCallIDs[0]
pendingToolCallIDs = pendingToolCallIDs[1:]
}
content := m.Content
if content == "" {
content = m.ToolOutput
}
out = append(out, llm.Message{
Role: "tool", Name: m.ToolName, Content: content, ToolCallID: toolID,
})
case "done":
flushAssistant()
out = append(out, llm.Message{Role: "assistant", Content: m.Content})
case "error":
flushAssistant()
out = append(out, llm.Message{Role: "assistant", Content: "错误: " + m.Content})
default:
// 忽略 progress/session 等 // Logan.Li
}
}
flushAssistant()
return out
}
// validateToolArgsJSON 校验工具参数 JSON,非法则回退空对象 // Logan.Li
func validateToolArgsJSON(raw string) string {
if raw == "" {
return "{}"
}
var tmp map[string]interface{}
if json.Unmarshal([]byte(raw), &tmp) != nil {
return "{}"
}
return raw
}