defmodule JidoSystem.Metrics do
  @moduledoc """
  Comprehensive metrics collection and reporting.
  """
  
  # Golden Signals
  def golden_signals do
    %{
      latency: [
        "jido.agent.instruction.duration",
        "jido.action.execution.duration",
        "jido.workflow.completion.duration"
      ],
      traffic: [
        "jido.agent.instructions.rate",
        "jido.signals.published.rate",
        "jido.api.requests.rate"
      ],
      errors: [
        "jido.agent.errors.rate",
        "jido.action.failures.rate",
        "jido.circuit_breaker.opens.rate"
      ],
      saturation: [
        "jido.agent.queue.size",
        "jido.resource.usage.percentage",
        "jido.connection_pool.active"
      ]
    }
  end
  
  # Business Metrics
  def business_metrics do
    %{
      throughput: "jido.business.transactions.completed",
      value: "jido.business.revenue.processed",
      quality: "jido.business.sla.compliance",
      efficiency: "jido.business.cost.per_transaction"
    }
  end
  
  # SLI Definitions
  def sli_definitions do
    [
      %{
        name: "api_availability",
        query: "sum(rate(http_requests_total{status!~'5..'}[5m])) / sum(rate(http_requests_total[5m]))",
        target: 0.999
      },
      %{
        name: "agent_success_rate",
        query: "sum(rate(agent_instructions_success[5m])) / sum(rate(agent_instructions_total[5m]))",
        target: 0.995
      },
      %{
        name: "p99_latency",
        query: "histogram_quantile(0.99, agent_instruction_duration_seconds)",
        target: 0.1 # 100ms
      }
    ]
  end
end

defmodule JidoSystem.Logging do
  @moduledoc """
  Structured logging with correlation and context.
  """
  
  defmacro __using__(_opts) do
    quote do
      require Logger
      import JidoSystem.Logging
      
      @before_compile JidoSystem.Logging
    end
  end
  
  defmacro __before_compile__(_env) do
    quote do
      defoverridable [handle_event: 4]
      
      def handle_event(event, measurements, metadata, config) do
        # Add correlation ID
        metadata = add_correlation_id(metadata)
        
        # Add context
        metadata = add_context(metadata)
        
        # Structure log entry
        log_entry = %{
          timestamp: DateTime.utc_now(),
          level: log_level(event),
          event: event,
          measurements: measurements,
          metadata: metadata,
          context: get_context()
        }
        
        # Send to logging pipeline
        Logger.info(Jason.encode!(log_entry))
        
        # Call original handler
        super(event, measurements, metadata, config)
      end
    end
  end
  
  # Correlation across distributed system
  def with_correlation_id(correlation_id, fun) do
    Process.put(:correlation_id, correlation_id)
    
    try do
      fun.()
    after
      Process.delete(:correlation_id)
    end
  end
  
  # Rich context for debugging
  def with_context(context, fun) do
    current = Process.get(:log_context, %{})
    Process.put(:log_context, Map.merge(current, context))
    
    try do
      fun.()
    after
      Process.put(:log_context, current)
    end
  end
end

defmodule JidoSystem.Tracing do
  @moduledoc """
  OpenTelemetry integration for distributed tracing.
  """
  
  def setup do
    # Configure OpenTelemetry
    :opentelemetry.register_tracer(:jido_system, "1.0.0")
    
    # Auto-instrument key modules
    attach_telemetry_handlers()
    
    # Custom span attributes
    OpenTelemetry.register_span_processor(&add_custom_attributes/1)
  end
  
  defp attach_telemetry_handlers do
    handlers = [
      {[:jido, :agent, :instruction, :start], &handle_instruction_start/4},
      {[:jido, :agent, :instruction, :stop], &handle_instruction_stop/4},
      {[:jido, :action, :execute, :start], &handle_action_start/4},
      {[:jido, :action, :execute, :stop], &handle_action_stop/4}
    ]
    
    for {event, handler} <- handlers do
      :telemetry.attach(
        "#{inspect(event)}-tracer",
        event,
        handler,
        nil
      )
    end
  end
  
  # Create span for agent instruction
  defp handle_instruction_start(_event, _measurements, metadata, _config) do
    span_name = "#{metadata.agent_type}.#{metadata.action}"
    
    OpenTelemetry.with_span span_name do
      OpenTelemetry.set_attributes(%{
        "agent.id" => metadata.agent_id,
        "agent.type" => metadata.agent_type,
        "instruction.id" => metadata.instruction_id,
        "instruction.action" => metadata.action
      })
    end
  end
end

# alerts/jido_system.yml
groups:
  - name: jido_system_availability
    rules:
      - alert: AgentHighErrorRate
        expr: |
          rate(jido_agent_errors_total[5m]) > 0.05
        for: 5m
        labels:
          severity: warning
          team: platform
        annotations:
          summary: "Agent {{ $labels.agent_type }} has high error rate"
          description: "Error rate is {{ $value | humanizePercentage }}"
          runbook: https://runbooks.jido.io/agent-high-error-rate

      - alert: CircuitBreakerOpen
        expr: |
          jido_circuit_breaker_state == 2  # 2 = open
        for: 1m
        labels:
          severity: critical
          team: platform
        annotations:
          summary: "Circuit breaker {{ $labels.service }} is open"
          description: "Service {{ $labels.service }} circuit breaker opened"
          runbook: https://runbooks.jido.io/circuit-breaker-open

      - alert: AgentQueueBacklog
        expr: |
          jido_agent_queue_size > 1000
        for: 10m
        labels:
          severity: warning
          team: platform
        annotations:
          summary: "Agent {{ $labels.agent_id }} has large queue backlog"
          description: "Queue size is {{ $value }}"
          runbook: https://runbooks.jido.io/agent-queue-backlog

  - name: jido_system_performance
    rules:
      - alert: HighP99Latency
        expr: |
          histogram_quantile(0.99, 
            rate(jido_agent_instruction_duration_seconds_bucket[5m])
          ) > 0.5
        for: 10m
        labels:
          severity: warning
          team: platform
        annotations:
          summary: "High P99 latency for agent instructions"
          description: "P99 latency is {{ $value }}s"
          runbook: https://runbooks.jido.io/high-p99-latency

  - name: jido_system_resources
    rules:
      - alert: HighMemoryUsage
        expr: |
          jido_beam_memory_usage_bytes / jido_beam_memory_limit_bytes > 0.9
        for: 5m
        labels:
          severity: critical
          team: platform
        annotations:
          summary: "BEAM memory usage critical"
          description: "Memory usage is {{ $value | humanizePercentage }}"
          runbook: https://runbooks.jido.io/high-memory-usage

// dashboards/jido_overview.json
{
  "dashboard": {
    "title": "JidoSystem Overview",
    "panels": [
      {
        "title": "Golden Signals",
        "type": "row"
      },
      {
        "title": "Request Rate",
        "targets": [{
          "expr": "sum(rate(jido_agent_instructions_total[5m]))"
        }]
      },
      {
        "title": "Error Rate",
        "targets": [{
          "expr": "sum(rate(jido_agent_errors_total[5m])) / sum(rate(jido_agent_instructions_total[5m]))"
        }]
      },
      {
        "title": "P50/P95/P99 Latency",
        "targets": [
          {"expr": "histogram_quantile(0.5, rate(jido_agent_instruction_duration_seconds_bucket[5m]))"},
          {"expr": "histogram_quantile(0.95, rate(jido_agent_instruction_duration_seconds_bucket[5m]))"},
          {"expr": "histogram_quantile(0.99, rate(jido_agent_instruction_duration_seconds_bucket[5m]))"}
        ]
      },
      {
        "title": "Resource Saturation",
        "targets": [{
          "expr": "avg(jido_agent_queue_size)"
        }]
      }
    ]
  }
}

# Agent High Error Rate Runbook

## Alert
`AgentHighErrorRate`

## Impact
- Degraded agent performance
- Potential data processing delays
- SLA violations

## Investigation Steps

1. **Check error types**
   ```bash
   kubectl logs -l app=jido-system,component=agent --tail=1000 | \
     grep ERROR | jq -r '.error_type' | sort | uniq -c

# .deployment/checklist.yml
pre_deployment:
  - name: "Run tests"
    command: "mix test"
    required: true
    
  - name: "Run dialyzer"
    command: "mix dialyzer"
    required: true
    
  - name: "Check migrations"
    command: "mix ecto.migrations"
    required: true
    
  - name: "Build release"
    command: "mix release"
    required: true
    
  - name: "Security scan"
    command: "mix sobelow"
    required: false

deployment:
  - name: "Update ConfigMaps"
    command: "kubectl apply -f k8s/configmap.yml"
    
  - name: "Run migrations"
    command: "kubectl exec -it deploy/jido-system -- mix ecto.migrate"
    
  - name: "Deploy new version"
    command: "kubectl set image deployment/jido-system jido-system=jido:{{version}}"
    
  - name: "Wait for rollout"
    command: "kubectl rollout status deployment/jido-system"

post_deployment:
  - name: "Run smoke tests"
    command: "mix test.smoke"
    
  - name: "Check metrics"
    command: "scripts/check_deployment_metrics.sh"
    
  - name: "Verify SLOs"
    command: "scripts/verify_slos.sh"

defmodule JidoSystem.IncidentResponse do
  @moduledoc """
  Standardized incident response process.
  """
  
  defstruct [
    :id,
    :severity,
    :title,
    :description,
    :impact,
    :timeline,
    :responders,
    :status,
    :resolution,
    :postmortem_url
  ]
  
  def create_incident(severity, title, description) do
    incident = %__MODULE__{
      id: generate_incident_id(),
      severity: severity,
      title: title,
      description: description,
      timeline: [%{timestamp: DateTime.utc_now(), event: "Incident created"}],
      responders: [],
      status: :investigating
    }
    
    # Alert on-call
    alert_on_call(incident)
    
    # Create incident channel
    create_incident_channel(incident)
    
    # Start incident bot
    start_incident_bot(incident)
    
    incident
  end
  
  def update_incident(incident_id, updates) do
    incident = get_incident(incident_id)
    
    updated = struct(incident, updates)
    |> add_timeline_event("Updated: #{inspect(updates)}")
    
    broadcast_update(updated)
    
    updated
  end
end

# On-Call Playbook

## On-Call Responsibilities

1. **Primary On-Call**
   - First responder to alerts
   - Triage and initial investigation
   - Escalate if needed
   - Update status page

2. **Secondary On-Call**
   - Backup for primary
   - Major incident support
   - Cross-team coordination

## Alert Response SLA

| Severity | Response Time | Resolution Time |
|----------|--------------|-----------------|
| Critical | 5 minutes    | 1 hour         |
| High     | 15 minutes   | 4 hours        |
| Medium   | 1 hour       | 1 day          |
| Low      | 4 hours      | 1 week         |

## First Response Steps

1. **Acknowledge alert**
   ```bash
   pd-cli incident ack <incident-id>

defmodule JidoSystem.CostOptimization do
  @moduledoc """
  Analyzes and optimizes operational costs.
  """
  
  def analyze_costs do
    %{
      compute: analyze_compute_costs(),
      storage: analyze_storage_costs(),
      network: analyze_network_costs(),
      external_services: analyze_external_service_costs()
    }
  end
  
  def optimization_recommendations do
    [
      %{
        category: :compute,
        recommendation: "Use spot instances for non-critical agents",
        potential_savings: "$2,400/month",
        implementation_effort: :medium
      },
      %{
        category: :storage,
        recommendation: "Archive logs older than 30 days",
        potential_savings: "$800/month",
        implementation_effort: :low
      },
      %{
        category: :network,
        recommendation: "Enable request compression",
        potential_savings: "$400/month",
        implementation_effort: :low
      }
    ]
  end
end

defmodule JidoSystem.SecurityOps do
  @moduledoc """
  Security monitoring and incident response.
  """
  
  def security_alerts do
    [
      %{
        name: "unauthorized_access_attempt",
        query: "sum(rate(auth_failures_total[5m])) > 10",
        severity: :high
      },
      %{
        name: "privilege_escalation",
        query: "jido_capability_granted{capability='admin'} == 1",
        severity: :critical
      },
      %{
        name: "unusual_data_access",
        query: "rate(data_access_bytes[5m]) > 1000000000", # 1GB/5min
        severity: :medium
      }
    ]
  end
  
  def audit_log(event, metadata) do
    entry = %{
      timestamp: DateTime.utc_now(),
      event: event,
      user: get_current_user(),
      ip_address: get_client_ip(),
      metadata: metadata,
      correlation_id: get_correlation_id()
    }
    
    # Write to immutable audit log
    AuditLog.write(entry)
    
    # Check for security patterns
    check_security_patterns(entry)
  end
end

defmodule JidoSystem.Compliance do
  @moduledoc """
  Automated compliance checking and reporting.
  """
  
  def run_compliance_checks do
    checks = [
      check_data_encryption(),
      check_access_controls(),
      check_audit_logging(),
      check_backup_procedures(),
      check_incident_response()
    ]
    
    report = %{
      timestamp: DateTime.utc_now(),
      checks: checks,
      overall_status: calculate_overall_status(checks),
      next_audit: calculate_next_audit_date()
    }
    
    store_compliance_report(report)
    notify_compliance_team(report)
    
    report
  end
end

# backup/strategy.yml
backups:
  database:
    schedule: "0 */6 * * *"  # Every 6 hours
    retention: 30  # days
    type: incremental
    destination: s3://jido-backups/database/
    
  event_store:
    schedule: "0 0 * * *"  # Daily
    retention: 90  # days
    type: full
    destination: s3://jido-backups/events/
    
  configuration:
    schedule: "0 * * * *"  # Hourly
    retention: 7  # days
    type: full
    destination: s3://jido-backups/config/

recovery:
  rto: 4  # hours
  rpo: 1  # hour
  
test_schedule:
  frequency: monthly
  next_test: 2024-02-15

defmodule JidoSystem.DisasterRecovery do
  @moduledoc """
  Automated disaster recovery procedures.
  """
  
  def initiate_recovery(scenario) do
    case scenario do
      :regional_failure ->
        failover_to_secondary_region()
        
      :data_corruption ->
        restore_from_backup()
        
      :complete_failure ->
        full_system_recovery()
    end
  end
  
  defp failover_to_secondary_region do
    with :ok <- update_dns_records(),
         :ok <- activate_standby_cluster(),
         :ok <- verify_data_replication(),
         :ok <- run_smoke_tests() do
      notify_team("Failover completed successfully")
      {:ok, :failover_complete}
    end
  end
end

defmodule JidoSystem.OperationalKPIs do
  def calculate_kpis do
    %{
      availability: calculate_availability(),
      mttr: calculate_mttr(),
      deployment_frequency: calculate_deployment_frequency(),
      lead_time: calculate_lead_time(),
      error_budget: calculate_error_budget(),
      toil_percentage: calculate_toil_percentage()
    }
  end
  
  defp calculate_availability do
    uptime_seconds = get_uptime_seconds(last: :month)
    total_seconds = 30 * 24 * 60 * 60
    
    (uptime_seconds / total_seconds) * 100
  end
  
  defp calculate_mttr do
    incidents = get_incidents(last: :quarter)
    
    total_duration = Enum.reduce(incidents, 0, fn incident, acc ->
      acc + (incident.resolved_at - incident.created_at)
    end)
    
    total_duration / length(incidents)
  end
end

defmodule JidoSystem.ContinuousImprovement do
  @moduledoc """
  Tracks and drives operational improvements.
  """
  
  def improvement_initiatives do
    [
      %{
        title: "Reduce MTTR by 50%",
        current_value: "4 hours",
        target_value: "2 hours",
        actions: [
          "Implement automated rollback",
          "Improve runbook coverage",
          "Add predictive alerting"
        ],
        deadline: ~D[2024-06-30]
      },
      %{
        title: "Achieve 99.99% availability",
        current_value: "99.9%",
        target_value: "99.99%",
        actions: [
          "Implement multi-region failover",
          "Add chaos engineering tests",
          "Improve circuit breakers"
        ],
        deadline: ~D[2024-12-31]
      }
    ]
  end
end