🤖 Intelligent Automation & Analytics¶

local analytics = require("analytics")
local optimization = require("optimization")

-- Enable predictive analytics for a workflow
workflow.define("intelligent_deployment", {
    analytics_enabled = true,
    optimization_level = "aggressive",

    tasks = {
        task("performance_analysis")
            :command(function()
                -- Analyze historical performance data
                local prediction = analytics.predict_performance({
                    metric = "deployment_time",
                    lookback_days = 30,
                    confidence_threshold = 0.8
                })

                if prediction.expected_duration > 300 then
                    log.warn("Deployment expected to take " .. prediction.expected_duration .. " seconds")
                    analytics.alert("long_deployment_predicted", prediction)
                end

                return prediction
            end)
            :build(),

        task("optimized_deployment")
            :depends_on({"performance_analysis"})
            :command(function(params, deps)
                local prediction = deps.performance_analysis

                -- Optimize deployment based on predictions
                local strategy = optimization.recommend_strategy({
                    predicted_duration = prediction.expected_duration,
                    available_resources = system.get_resources(),
                    priority_level = params.priority or "normal"
                })

                return exec.run_optimized("kubectl apply -f production.yaml", strategy)
            end)
            :build()
    }
})

local adaptive = require("adaptive")
local monitoring = require("monitoring")

-- Self-adjusting resource allocation
local adaptive_pipeline = task("adaptive_processing")
    :command(function(params, deps)
        -- Monitor current system load
        local system_load = monitoring.get_system_metrics()

        -- Adapt execution strategy based on load
        local strategy = adaptive.calculate_strategy({
            cpu_usage = system_load.cpu_percent,
            memory_usage = system_load.memory_percent,
            network_load = system_load.network_throughput,
            historical_data = analytics.get_historical_load(24) -- 24 hours
        })

        -- Execute with adaptive parameters
        return exec.run_with_strategy("./heavy-processing-task.sh", {
            parallelism = strategy.recommended_parallelism,
            memory_limit = strategy.memory_allocation,
            timeout = strategy.estimated_timeout,
            retry_strategy = strategy.retry_config
        })
    end)
    :build()

local recovery = require("recovery")
local patterns = require("patterns")

-- Self-healing workflow with intelligent recovery
workflow.define("resilient_pipeline", {
    error_recovery = "intelligent",
    learning_enabled = true,

    on_task_failure = function(task_name, error, context)
        -- Analyze failure pattern
        local failure_analysis = patterns.analyze_failure({
            task = task_name,
            error = error,
            context = context,
            historical_failures = analytics.get_failure_history(task_name, 90)
        })

        -- Determine recovery strategy
        local recovery_plan = recovery.generate_plan(failure_analysis)

        log.info("Failure detected in " .. task_name .. ": " .. error.message)
        log.info("Recovery strategy: " .. recovery_plan.strategy)

        if recovery_plan.auto_recoverable then
            -- Attempt automatic recovery
            local recovery_result = recovery.execute_plan(recovery_plan)

            if recovery_result.success then
                log.info("✅ Automatic recovery successful")
                return "retry"
            else
                log.error("❌ Automatic recovery failed: " .. recovery_result.error)
                return "fail"
            end
        else
            -- Manual intervention required
            recovery.request_manual_intervention({
                task = task_name,
                error = error,
                suggested_actions = recovery_plan.manual_steps
            })
            return "pause"
        end
    end,

    tasks = {
        task("database_migration")
            :command("./migrate-database.sh")
            :retry_strategy("intelligent")
            :build(),

        task("service_deployment")
            :command("kubectl rollout deployment myapp")
            :health_check(function()
                return monitoring.check_service_health("myapp")
            end)
            :rollback_on_failure(true)
            :build()
    }
})

local optimizer = require("optimizer")
local profiler = require("profiler")

-- Continuous performance optimization
local optimization_task = task("performance_optimization")
    :command(function(params, deps)
        -- Profile current performance
        local profile = profiler.analyze_workflow_performance({
            workflow_id = params.workflow_id,
            time_window = "7d",
            metrics = {"execution_time", "resource_usage", "error_rate"}
        })

        -- Generate optimization recommendations
        local recommendations = optimizer.analyze_performance(profile)

        log.info("Performance Analysis Complete:")
        log.info("Average execution time: " .. profile.avg_execution_time .. "s")
        log.info("Resource efficiency: " .. profile.resource_efficiency .. "%")
        log.info("Error rate: " .. profile.error_rate .. "%")

        -- Apply optimizations if confidence is high
        for _, rec in ipairs(recommendations) do
            if rec.confidence > 0.8 and rec.impact == "high" then
                log.info("Applying optimization: " .. rec.description)
                optimizer.apply_optimization(rec)
            else
                log.info("Optimization suggestion: " .. rec.description .. " (confidence: " .. rec.confidence .. ")")
            end
        end

        return {
            optimizations_applied = #recommendations,
            expected_improvement = optimizer.calculate_improvement(recommendations)
        }
    end)
    :schedule("daily")
    :build()

local dashboard = require("dashboard")
local realtime = require("realtime")

-- Real-time analytics dashboard
dashboard.create_panel("workflow_intelligence", {
    title = "Intelligent Workflow Analytics",
    refresh_interval = "30s",

    widgets = {
        {
            type = "prediction_chart",
            title = "Performance Predictions",
            data_source = function()
                return analytics.get_predictions({
                    metrics = {"execution_time", "success_rate", "resource_usage"},
                    forecast_days = 7
                })
            end
        },

        {
            type = "optimization_summary",
            title = "Optimization Opportunities",
            data_source = function()
                return optimizer.get_opportunities({
                    priority = "high",
                    confidence_threshold = 0.7
                })
            end
        },

        {
            type = "anomaly_detector",
            title = "Detected Anomalies",
            data_source = function()
                return analytics.detect_anomalies({
                    time_window = "24h",
                    sensitivity = "medium"
                })
            end
        }
    }
})