338 lines
11 KiB
Python
338 lines
11 KiB
Python
"""
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Admin configuration for analytics_predictive_insights app
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"""
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from django.contrib import admin
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from django.utils.html import format_html
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from django.urls import reverse
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from django.utils.safestring import mark_safe
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from .models import (
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KPIMetric, KPIMeasurement, IncidentRecurrenceAnalysis, PredictiveModel,
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AnomalyDetection, CostImpactAnalysis, DashboardConfiguration,
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HeatmapData, PredictiveInsight
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)
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@admin.register(KPIMetric)
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class KPIMetricAdmin(admin.ModelAdmin):
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"""Admin interface for KPI metrics"""
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list_display = [
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'name', 'metric_type', 'aggregation_type', 'is_active',
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'is_system_metric', 'created_by', 'created_at'
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]
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list_filter = [
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'metric_type', 'aggregation_type', 'is_active',
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'is_system_metric', 'created_at'
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]
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search_fields = ['name', 'description']
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readonly_fields = ['id', 'created_at', 'updated_at']
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fieldsets = (
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('Basic Information', {
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'fields': ('id', 'name', 'description', 'metric_type', 'aggregation_type')
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}),
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('Targeting Criteria', {
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'fields': ('incident_categories', 'incident_severities', 'incident_priorities')
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}),
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('Configuration', {
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'fields': ('calculation_formula', 'time_window_hours', 'is_active', 'is_system_metric')
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}),
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('Metadata', {
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'fields': ('created_by', 'created_at', 'updated_at'),
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'classes': ('collapse',)
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})
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)
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@admin.register(KPIMeasurement)
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class KPIMeasurementAdmin(admin.ModelAdmin):
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"""Admin interface for KPI measurements"""
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list_display = [
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'metric', 'value', 'unit', 'incident_count',
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'measurement_period_start', 'calculated_at'
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]
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list_filter = [
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'metric__metric_type', 'unit', 'calculated_at'
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]
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search_fields = ['metric__name']
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readonly_fields = ['id', 'calculated_at']
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fieldsets = (
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('Measurement Details', {
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'fields': ('id', 'metric', 'value', 'unit')
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}),
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('Time Period', {
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'fields': ('measurement_period_start', 'measurement_period_end')
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}),
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('Context', {
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'fields': ('incident_count', 'sample_size', 'metadata')
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}),
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('Metadata', {
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'fields': ('calculated_at',),
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'classes': ('collapse',)
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})
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)
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@admin.register(IncidentRecurrenceAnalysis)
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class IncidentRecurrenceAnalysisAdmin(admin.ModelAdmin):
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"""Admin interface for incident recurrence analysis"""
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list_display = [
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'primary_incident', 'recurrence_type', 'confidence_score',
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'recurrence_rate', 'is_resolved', 'created_at'
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]
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list_filter = [
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'recurrence_type', 'is_resolved', 'created_at'
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]
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search_fields = ['primary_incident__title']
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readonly_fields = ['id', 'created_at', 'updated_at']
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fieldsets = (
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('Analysis Details', {
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'fields': ('id', 'primary_incident', 'recurring_incidents', 'recurrence_type', 'confidence_score', 'recurrence_rate')
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}),
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('Pattern Characteristics', {
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'fields': ('common_keywords', 'common_categories', 'time_pattern')
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}),
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('Impact Analysis', {
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'fields': ('total_affected_users', 'total_downtime_hours', 'estimated_cost_impact')
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}),
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('Recommendations', {
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'fields': ('prevention_recommendations', 'automation_opportunities')
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}),
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('Status', {
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'fields': ('is_resolved', 'resolution_actions')
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}),
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('Metadata', {
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'fields': ('created_at', 'updated_at', 'model_version'),
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'classes': ('collapse',)
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})
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)
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@admin.register(PredictiveModel)
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class PredictiveModelAdmin(admin.ModelAdmin):
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"""Admin interface for predictive models"""
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list_display = [
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'name', 'model_type', 'algorithm_type', 'status',
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'accuracy_score', 'last_trained_at', 'created_at'
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]
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list_filter = [
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'model_type', 'algorithm_type', 'status', 'created_at'
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]
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search_fields = ['name', 'description']
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readonly_fields = ['id', 'created_at', 'updated_at']
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fieldsets = (
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('Basic Information', {
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'fields': ('id', 'name', 'description', 'model_type', 'algorithm_type')
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}),
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('Model Configuration', {
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'fields': ('model_config', 'feature_columns', 'target_column')
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}),
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('Training Configuration', {
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'fields': ('training_data_period_days', 'min_training_samples')
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}),
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('Performance Metrics', {
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'fields': ('accuracy_score', 'precision_score', 'recall_score', 'f1_score')
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}),
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('Status and Metadata', {
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'fields': ('status', 'version', 'model_file_path', 'last_trained_at', 'training_duration_seconds', 'training_samples_count')
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}),
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('Retraining Configuration', {
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'fields': ('auto_retrain_enabled', 'retrain_frequency_days', 'performance_threshold')
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}),
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('Metadata', {
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'fields': ('created_by', 'created_at', 'updated_at'),
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'classes': ('collapse',)
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})
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)
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@admin.register(AnomalyDetection)
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class AnomalyDetectionAdmin(admin.ModelAdmin):
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"""Admin interface for anomaly detection results"""
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list_display = [
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'anomaly_type', 'severity', 'status', 'confidence_score',
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'detected_at', 'resolved_at'
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]
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list_filter = [
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'anomaly_type', 'severity', 'status', 'detected_at'
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]
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search_fields = ['description', 'model__name']
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readonly_fields = ['id', 'detected_at']
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fieldsets = (
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('Detection Details', {
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'fields': ('id', 'model', 'anomaly_type', 'severity', 'status')
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}),
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('Detection Metrics', {
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'fields': ('confidence_score', 'anomaly_score', 'threshold_used')
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}),
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('Time Context', {
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'fields': ('detected_at', 'time_window_start', 'time_window_end')
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}),
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('Related Data', {
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'fields': ('related_incidents', 'affected_services', 'affected_metrics')
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}),
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('Analysis', {
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'fields': ('description', 'root_cause_analysis', 'impact_assessment')
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}),
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('Actions', {
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'fields': ('actions_taken', 'resolved_at', 'resolved_by')
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}),
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('Metadata', {
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'fields': ('metadata',),
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'classes': ('collapse',)
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})
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)
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@admin.register(CostImpactAnalysis)
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class CostImpactAnalysisAdmin(admin.ModelAdmin):
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"""Admin interface for cost impact analysis"""
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list_display = [
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'incident', 'cost_type', 'cost_amount', 'currency',
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'is_validated', 'created_at'
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]
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list_filter = [
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'cost_type', 'currency', 'is_validated', 'created_at'
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]
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search_fields = ['incident__title', 'business_unit']
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readonly_fields = ['id', 'created_at', 'updated_at']
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fieldsets = (
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('Cost Details', {
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'fields': ('id', 'incident', 'cost_type', 'cost_amount', 'currency')
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}),
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('Calculation Details', {
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'fields': ('calculation_method', 'calculation_details')
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}),
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('Impact Metrics', {
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'fields': ('downtime_hours', 'affected_users', 'revenue_impact')
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}),
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('Business Context', {
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'fields': ('business_unit', 'service_tier')
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}),
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('Validation', {
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'fields': ('is_validated', 'validated_by', 'validated_at', 'validation_notes')
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}),
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('Metadata', {
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'fields': ('created_at', 'updated_at'),
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'classes': ('collapse',)
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})
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)
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@admin.register(DashboardConfiguration)
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class DashboardConfigurationAdmin(admin.ModelAdmin):
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"""Admin interface for dashboard configurations"""
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list_display = [
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'name', 'dashboard_type', 'is_active', 'is_public',
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'auto_refresh_enabled', 'created_by', 'created_at'
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]
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list_filter = [
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'dashboard_type', 'is_active', 'is_public', 'auto_refresh_enabled', 'created_at'
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]
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search_fields = ['name', 'description']
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readonly_fields = ['id', 'created_at', 'updated_at']
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fieldsets = (
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('Basic Information', {
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'fields': ('id', 'name', 'description', 'dashboard_type')
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}),
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('Configuration', {
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'fields': ('layout_config', 'widget_configs')
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}),
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('Access Control', {
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'fields': ('is_public', 'allowed_users', 'allowed_roles')
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}),
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('Refresh Configuration', {
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'fields': ('auto_refresh_enabled', 'refresh_interval_seconds')
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}),
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('Status', {
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'fields': ('is_active',)
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}),
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('Metadata', {
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'fields': ('created_by', 'created_at', 'updated_at'),
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'classes': ('collapse',)
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})
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)
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@admin.register(HeatmapData)
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class HeatmapDataAdmin(admin.ModelAdmin):
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"""Admin interface for heatmap data"""
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list_display = [
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'name', 'heatmap_type', 'time_granularity',
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'aggregation_method', 'created_at'
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]
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list_filter = [
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'heatmap_type', 'time_granularity', 'aggregation_method', 'created_at'
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]
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search_fields = ['name']
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readonly_fields = ['id', 'created_at', 'updated_at']
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fieldsets = (
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('Basic Information', {
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'fields': ('id', 'name', 'heatmap_type')
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}),
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('Time Configuration', {
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'fields': ('time_period_start', 'time_period_end', 'time_granularity')
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}),
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('Data Configuration', {
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'fields': ('data_points', 'color_scheme', 'aggregation_method')
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}),
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('Metadata', {
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'fields': ('created_at', 'updated_at'),
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'classes': ('collapse',)
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})
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)
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@admin.register(PredictiveInsight)
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class PredictiveInsightAdmin(admin.ModelAdmin):
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"""Admin interface for predictive insights"""
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list_display = [
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'title', 'insight_type', 'confidence_level', 'confidence_score',
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'is_acknowledged', 'is_validated', 'generated_at'
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]
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list_filter = [
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'insight_type', 'confidence_level', 'is_acknowledged',
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'is_validated', 'generated_at'
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]
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search_fields = ['title', 'description', 'model__name']
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readonly_fields = ['id', 'generated_at']
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fieldsets = (
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('Insight Details', {
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'fields': ('id', 'model', 'insight_type', 'title', 'description', 'confidence_level', 'confidence_score')
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}),
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('Prediction Details', {
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'fields': ('predicted_value', 'prediction_horizon', 'prediction_date')
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}),
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('Context', {
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'fields': ('input_features', 'supporting_evidence', 'related_incidents', 'affected_services')
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}),
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('Recommendations', {
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'fields': ('recommendations', 'risk_assessment')
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}),
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('Status', {
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'fields': ('is_acknowledged', 'acknowledged_by', 'acknowledged_at')
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}),
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('Validation', {
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'fields': ('is_validated', 'actual_value', 'validation_accuracy')
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}),
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('Metadata', {
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'fields': ('generated_at', 'expires_at'),
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'classes': ('collapse',)
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})
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) |