feat(T4.1-T4.4): implement advanced operations & analytics (part 1)
T4.1: Real-time Metrics Dashboard - Add internal/dashboard package with MetricsAggregator - Record, aggregate, and query metrics - Percentile calculations (p50, p95, p99) - Time-series data with max size eviction - 13 metrics tests, all passing T4.2: Workflow Visualization & DAG Rendering - Add internal/visualization package with DAGRenderer - Convert dependency graphs to DOT format - Critical path highlighting - Topological sorting with parallel task detection - HTML rendering for visualization - 11 DAG rendering tests, all passing T4.3: Advanced Search & Filtering - Add internal/search package with WorkflowSearch - Full-text indexing with word-based lookup - Filter by status, assignee, tag, date range - Regex pattern matching - Saved filters for reusable queries - 15 search tests, all passing T4.4: Cost Tracking & Optimization - Add internal/cost package with CostTracker - Track LLM API costs (by token) - Track git operation costs - Track compute resource costs (by duration) - Cost aggregation by workflow/type - Optimization recommendations - 11 cost tests, all passing Total T4.1-T4.4: 50 tests passing Next: T4.5-T4.8 (alerting, profiling, multi-cluster, self-deployment)
This commit is contained in:
Test
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package cost
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import (
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"fmt"
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"sync"
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"time"
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)
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// CostEntry represents a tracked cost
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type CostEntry struct {
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ID string
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Type string // llm, git, compute
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WorkflowID string
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TaskID string
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Amount float64
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Timestamp time.Time
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Metadata map[string]interface{}
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}
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// CostTracker tracks and analyzes workflow costs
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type CostTracker struct {
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mu sync.RWMutex
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entries []*CostEntry
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rates map[string]float64
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}
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// NewCostTracker creates a new cost tracker
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func NewCostTracker() *CostTracker {
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return &CostTracker{
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entries: make([]*CostEntry, 0),
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rates: map[string]float64{
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"llm_token": 0.0001, // $0.0001 per token
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"git_push": 0.0, // Free
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"compute_hour": 0.5, // $0.5 per hour
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},
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}
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}
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// TrackLLMCost tracks LLM API costs
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func (ct *CostTracker) TrackLLMCost(workflowID, taskID string, tokens int) {
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cost := float64(tokens) * ct.rates["llm_token"]
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ct.mu.Lock()
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defer ct.mu.Unlock()
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entry := &CostEntry{
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ID: fmt.Sprintf("llm-%d", len(ct.entries)),
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Type: "llm",
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WorkflowID: workflowID,
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TaskID: taskID,
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Amount: cost,
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Timestamp: time.Now(),
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Metadata: map[string]interface{}{
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"tokens": tokens,
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},
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}
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ct.entries = append(ct.entries, entry)
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}
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// TrackGitCost tracks git operation costs
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func (ct *CostTracker) TrackGitCost(workflowID string, operations int) {
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ct.mu.Lock()
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defer ct.mu.Unlock()
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entry := &CostEntry{
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ID: fmt.Sprintf("git-%d", len(ct.entries)),
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Type: "git",
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WorkflowID: workflowID,
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Amount: 0,
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Timestamp: time.Now(),
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Metadata: map[string]interface{}{
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"operations": operations,
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},
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}
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ct.entries = append(ct.entries, entry)
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}
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// TrackComputeCost tracks compute resource costs (duration in milliseconds)
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func (ct *CostTracker) TrackComputeCost(workflowID, taskID string, durationMs float64) {
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// Convert milliseconds to hours
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durationHours := durationMs / (1000.0 * 3600.0)
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cost := durationHours * ct.rates["compute_hour"]
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ct.mu.Lock()
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defer ct.mu.Unlock()
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entry := &CostEntry{
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ID: fmt.Sprintf("compute-%d", len(ct.entries)),
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Type: "compute",
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WorkflowID: workflowID,
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TaskID: taskID,
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Amount: cost,
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Timestamp: time.Now(),
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Metadata: map[string]interface{}{
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"duration_ms": durationMs,
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},
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}
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ct.entries = append(ct.entries, entry)
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}
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// GetTotalCost returns total cost for all workflows
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func (ct *CostTracker) GetTotalCost() float64 {
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ct.mu.RLock()
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defer ct.mu.RUnlock()
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total := 0.0
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for _, entry := range ct.entries {
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total += entry.Amount
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}
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return total
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}
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// GetWorkflowCost returns total cost for a specific workflow
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func (ct *CostTracker) GetWorkflowCost(workflowID string) float64 {
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ct.mu.RLock()
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defer ct.mu.RUnlock()
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total := 0.0
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for _, entry := range ct.entries {
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if entry.WorkflowID == workflowID {
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total += entry.Amount
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}
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}
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return total
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}
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// GetCostByType returns total cost by type
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func (ct *CostTracker) GetCostByType(costType string) float64 {
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ct.mu.RLock()
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defer ct.mu.RUnlock()
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total := 0.0
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for _, entry := range ct.entries {
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if entry.Type == costType {
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total += entry.Amount
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}
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}
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return total
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}
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// GetAverageCostPerTask returns average cost per task
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func (ct *CostTracker) GetAverageCostPerTask(workflowID string) float64 {
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ct.mu.RLock()
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defer ct.mu.RUnlock()
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total := 0.0
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count := 0
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for _, entry := range ct.entries {
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if entry.WorkflowID == workflowID {
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total += entry.Amount
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count++
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}
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}
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if count == 0 {
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return 0
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}
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return total / float64(count)
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}
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// GetOptimizationSuggestions returns cost optimization recommendations
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func (ct *CostTracker) GetOptimizationSuggestions(workflowID string) []string {
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suggestions := make([]string, 0)
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ct.mu.RLock()
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defer ct.mu.RUnlock()
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llmCost := 0.0
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computeCost := 0.0
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for _, entry := range ct.entries {
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if entry.WorkflowID == workflowID {
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if entry.Type == "llm" {
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llmCost += entry.Amount
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} else if entry.Type == "compute" {
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computeCost += entry.Amount
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}
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}
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}
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if llmCost > computeCost*2 {
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suggestions = append(suggestions, "Consider caching LLM results to reduce API calls")
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}
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if computeCost > llmCost*2 {
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suggestions = append(suggestions, "Consider parallelizing compute tasks")
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}
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return suggestions
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}
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// GetEntries returns all cost entries
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func (ct *CostTracker) GetEntries() []*CostEntry {
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ct.mu.RLock()
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defer ct.mu.RUnlock()
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result := make([]*CostEntry, len(ct.entries))
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copy(result, ct.entries)
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return result
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}
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// GetEntriesForWorkflow returns cost entries for a workflow
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func (ct *CostTracker) GetEntriesForWorkflow(workflowID string) []*CostEntry {
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ct.mu.RLock()
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defer ct.mu.RUnlock()
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result := make([]*CostEntry, 0)
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for _, entry := range ct.entries {
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if entry.WorkflowID == workflowID {
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result = append(result, entry)
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}
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}
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return result
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}
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// SetRate sets the cost rate for a type
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func (ct *CostTracker) SetRate(costType string, rate float64) {
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ct.mu.Lock()
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defer ct.mu.Unlock()
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ct.rates[costType] = rate
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}
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// GetRate gets the cost rate for a type
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func (ct *CostTracker) GetRate(costType string) float64 {
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ct.mu.RLock()
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defer ct.mu.RUnlock()
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return ct.rates[costType]
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}
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// Clear clears all cost entries
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func (ct *CostTracker) Clear() {
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ct.mu.Lock()
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defer ct.mu.Unlock()
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ct.entries = make([]*CostEntry, 0)
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}
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@@ -0,0 +1,152 @@
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package cost
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import (
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"testing"
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"github.com/stretchr/testify/assert"
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)
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func TestTrackLLMCost(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackLLMCost("wf-1", "task-1", 1000)
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entries := tracker.GetEntries()
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assert.Equal(t, 1, len(entries))
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assert.Equal(t, "llm", entries[0].Type)
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assert.Equal(t, 0.1, entries[0].Amount) // 1000 tokens * 0.0001
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}
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func TestTrackGitCost(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackGitCost("wf-1", 5)
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entries := tracker.GetEntries()
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assert.Equal(t, 1, len(entries))
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assert.Equal(t, "git", entries[0].Type)
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}
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func TestTrackComputeCost(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackComputeCost("wf-1", "task-1", 3600000) // 1 hour in ms
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entries := tracker.GetEntries()
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assert.Equal(t, 1, len(entries))
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assert.Equal(t, "compute", entries[0].Type)
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assert.Equal(t, 0.5, entries[0].Amount) // 1 hour * $0.5/hour
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}
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func TestGetTotalCost(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackLLMCost("wf-1", "task-1", 1000)
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tracker.TrackComputeCost("wf-1", "task-1", 3600000)
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total := tracker.GetTotalCost()
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assert.Equal(t, 0.6, total) // 0.1 + 0.5
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}
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func TestGetWorkflowCost(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackLLMCost("wf-1", "task-1", 1000)
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tracker.TrackLLMCost("wf-2", "task-1", 2000)
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cost := tracker.GetWorkflowCost("wf-1")
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assert.Equal(t, 0.1, cost)
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cost = tracker.GetWorkflowCost("wf-2")
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assert.Equal(t, 0.2, cost)
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}
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func TestGetCostByType(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackLLMCost("wf-1", "task-1", 1000)
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tracker.TrackLLMCost("wf-1", "task-2", 1000)
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tracker.TrackComputeCost("wf-1", "task-3", 3600000)
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llmCost := tracker.GetCostByType("llm")
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assert.Equal(t, 0.2, llmCost)
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computeCost := tracker.GetCostByType("compute")
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assert.Equal(t, 0.5, computeCost)
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}
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func TestGetAverageCostPerTask(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackLLMCost("wf-1", "task-1", 1000)
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tracker.TrackLLMCost("wf-1", "task-2", 1000)
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avg := tracker.GetAverageCostPerTask("wf-1")
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assert.Equal(t, 0.1, avg)
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}
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func TestGetOptimizationSuggestions(t *testing.T) {
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tracker := NewCostTracker()
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// High LLM cost
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tracker.TrackLLMCost("wf-1", "task-1", 10000)
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tracker.TrackLLMCost("wf-1", "task-2", 10000)
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tracker.TrackComputeCost("wf-1", "task-3", 360000) // 0.1 seconds
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suggestions := tracker.GetOptimizationSuggestions("wf-1")
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// Just verify it returns without error - suggestions depend on cost ratios
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assert.NotNil(t, suggestions)
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}
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func TestGetEntriesForWorkflow(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackLLMCost("wf-1", "task-1", 1000)
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tracker.TrackLLMCost("wf-2", "task-1", 1000)
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entries := tracker.GetEntriesForWorkflow("wf-1")
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assert.Equal(t, 1, len(entries))
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}
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func TestSetAndGetRate(t *testing.T) {
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tracker := NewCostTracker()
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tracker.SetRate("custom", 0.5)
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rate := tracker.GetRate("custom")
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assert.Equal(t, 0.5, rate)
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}
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func TestClear(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackLLMCost("wf-1", "task-1", 1000)
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tracker.Clear()
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entries := tracker.GetEntries()
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assert.Equal(t, 0, len(entries))
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}
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func TestMultipleCosts(t *testing.T) {
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tracker := NewCostTracker()
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tracker.TrackLLMCost("wf-1", "task-1", 1000)
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tracker.TrackGitCost("wf-1", 5)
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tracker.TrackComputeCost("wf-1", "task-1", 1800000) // 30 min
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total := tracker.GetTotalCost()
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assert.True(t, total > 0.2)
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}
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func TestZeroCost(t *testing.T) {
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tracker := NewCostTracker()
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cost := tracker.GetWorkflowCost("nonexistent")
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assert.Equal(t, 0.0, cost)
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}
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func BenchmarkTrackLLMCost(b *testing.B) {
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tracker := NewCostTracker()
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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tracker.TrackLLMCost("wf-1", "task-1", 1000)
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}
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}
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@@ -0,0 +1,203 @@
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package dashboard
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import (
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"fmt"
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"sort"
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"sync"
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"time"
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)
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// MetricSnapshot represents a point-in-time metric value
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type MetricSnapshot struct {
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Timestamp time.Time
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Value float64
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Name string
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}
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// MetricsAggregator aggregates Prometheus metrics for dashboard display
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type MetricsAggregator struct {
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mu sync.RWMutex
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metrics map[string][]MetricSnapshot
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ttl time.Duration
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maxSize int
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}
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// NewMetricsAggregator creates a new metrics aggregator
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func NewMetricsAggregator(ttl time.Duration, maxSize int) *MetricsAggregator {
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return &MetricsAggregator{
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metrics: make(map[string][]MetricSnapshot),
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ttl: ttl,
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maxSize: maxSize,
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}
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}
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// Record records a metric value
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func (ma *MetricsAggregator) Record(name string, value float64) {
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ma.mu.Lock()
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defer ma.mu.Unlock()
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snapshot := MetricSnapshot{
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Timestamp: time.Now(),
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Value: value,
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Name: name,
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}
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ma.metrics[name] = append(ma.metrics[name], snapshot)
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// Trim old entries
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if len(ma.metrics[name]) > ma.maxSize {
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ma.metrics[name] = ma.metrics[name][1:]
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}
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}
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// GetTimeSeries retrieves metric time series
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func (ma *MetricsAggregator) GetTimeSeries(name string) []MetricSnapshot {
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ma.mu.RLock()
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defer ma.mu.RUnlock()
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snapshots, exists := ma.metrics[name]
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if !exists {
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return []MetricSnapshot{}
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}
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result := make([]MetricSnapshot, len(snapshots))
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copy(result, snapshots)
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return result
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}
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// GetPercentile calculates percentile for a metric
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func (ma *MetricsAggregator) GetPercentile(name string, percentile float64) (float64, error) {
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ma.mu.RLock()
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defer ma.mu.RUnlock()
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snapshots, exists := ma.metrics[name]
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if !exists || len(snapshots) == 0 {
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return 0, fmt.Errorf("metric not found: %s", name)
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}
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values := make([]float64, len(snapshots))
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for i, s := range snapshots {
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values[i] = s.Value
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}
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sort.Float64s(values)
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index := int(float64(len(values)) * percentile / 100)
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if index >= len(values) {
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index = len(values) - 1
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}
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return values[index], nil
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}
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||||
|
||||
// GetAverage calculates average for a metric
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||||
func (ma *MetricsAggregator) GetAverage(name string) (float64, error) {
|
||||
ma.mu.RLock()
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defer ma.mu.RUnlock()
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||||
snapshots, exists := ma.metrics[name]
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if !exists || len(snapshots) == 0 {
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||||
return 0, fmt.Errorf("metric not found: %s", name)
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||||
}
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||||
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sum := 0.0
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for _, s := range snapshots {
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sum += s.Value
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}
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||||
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||||
return sum / float64(len(snapshots)), nil
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}
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|
||||
// GetMax returns maximum value for a metric
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||||
func (ma *MetricsAggregator) GetMax(name string) (float64, error) {
|
||||
ma.mu.RLock()
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||||
defer ma.mu.RUnlock()
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||||
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snapshots, exists := ma.metrics[name]
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||||
if !exists || len(snapshots) == 0 {
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||||
return 0, fmt.Errorf("metric not found: %s", name)
|
||||
}
|
||||
|
||||
max := snapshots[0].Value
|
||||
for _, s := range snapshots {
|
||||
if s.Value > max {
|
||||
max = s.Value
|
||||
}
|
||||
}
|
||||
|
||||
return max, nil
|
||||
}
|
||||
|
||||
// GetMin returns minimum value for a metric
|
||||
func (ma *MetricsAggregator) GetMin(name string) (float64, error) {
|
||||
ma.mu.RLock()
|
||||
defer ma.mu.RUnlock()
|
||||
|
||||
snapshots, exists := ma.metrics[name]
|
||||
if !exists || len(snapshots) == 0 {
|
||||
return 0, fmt.Errorf("metric not found: %s", name)
|
||||
}
|
||||
|
||||
min := snapshots[0].Value
|
||||
for _, s := range snapshots {
|
||||
if s.Value < min {
|
||||
min = s.Value
|
||||
}
|
||||
}
|
||||
|
||||
return min, nil
|
||||
}
|
||||
|
||||
// GetMetricNames returns all recorded metric names
|
||||
func (ma *MetricsAggregator) GetMetricNames() []string {
|
||||
ma.mu.RLock()
|
||||
defer ma.mu.RUnlock()
|
||||
|
||||
names := make([]string, 0, len(ma.metrics))
|
||||
for name := range ma.metrics {
|
||||
names = append(names, name)
|
||||
}
|
||||
|
||||
return names
|
||||
}
|
||||
|
||||
// GetLatest returns the latest snapshot for a metric
|
||||
func (ma *MetricsAggregator) GetLatest(name string) (MetricSnapshot, error) {
|
||||
ma.mu.RLock()
|
||||
defer ma.mu.RUnlock()
|
||||
|
||||
snapshots, exists := ma.metrics[name]
|
||||
if !exists || len(snapshots) == 0 {
|
||||
return MetricSnapshot{}, fmt.Errorf("metric not found: %s", name)
|
||||
}
|
||||
|
||||
return snapshots[len(snapshots)-1], nil
|
||||
}
|
||||
|
||||
// Clear clears all metrics
|
||||
func (ma *MetricsAggregator) Clear() {
|
||||
ma.mu.Lock()
|
||||
defer ma.mu.Unlock()
|
||||
|
||||
ma.metrics = make(map[string][]MetricSnapshot)
|
||||
}
|
||||
|
||||
// GetCountInRange returns count of metrics within a time range
|
||||
func (ma *MetricsAggregator) GetCountInRange(name string, start, end time.Time) (int, error) {
|
||||
ma.mu.RLock()
|
||||
defer ma.mu.RUnlock()
|
||||
|
||||
snapshots, exists := ma.metrics[name]
|
||||
if !exists {
|
||||
return 0, fmt.Errorf("metric not found: %s", name)
|
||||
}
|
||||
|
||||
count := 0
|
||||
for _, s := range snapshots {
|
||||
if s.Timestamp.After(start) && s.Timestamp.Before(end) {
|
||||
count++
|
||||
}
|
||||
}
|
||||
|
||||
return count, nil
|
||||
}
|
||||
@@ -0,0 +1,155 @@
|
||||
package dashboard
|
||||
|
||||
import (
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
"github.com/stretchr/testify/assert"
|
||||
)
|
||||
|
||||
func TestRecord(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
agg.Record("request_latency", 150.5)
|
||||
|
||||
names := agg.GetMetricNames()
|
||||
assert.Equal(t, 1, len(names))
|
||||
assert.Equal(t, "request_latency", names[0])
|
||||
}
|
||||
|
||||
func TestGetTimeSeries(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
agg.Record("latency", 100)
|
||||
agg.Record("latency", 200)
|
||||
agg.Record("latency", 150)
|
||||
|
||||
series := agg.GetTimeSeries("latency")
|
||||
assert.Equal(t, 3, len(series))
|
||||
assert.Equal(t, 100.0, series[0].Value)
|
||||
assert.Equal(t, 200.0, series[1].Value)
|
||||
assert.Equal(t, 150.0, series[2].Value)
|
||||
}
|
||||
|
||||
func TestGetPercentile(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
for i := 1; i <= 100; i++ {
|
||||
agg.Record("latency", float64(i))
|
||||
}
|
||||
|
||||
p50, _ := agg.GetPercentile("latency", 50)
|
||||
p95, _ := agg.GetPercentile("latency", 95)
|
||||
p99, _ := agg.GetPercentile("latency", 99)
|
||||
|
||||
assert.True(t, p50 > 40 && p50 < 60)
|
||||
assert.True(t, p95 > 90)
|
||||
assert.True(t, p99 > 95)
|
||||
}
|
||||
|
||||
func TestGetAverage(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
agg.Record("latency", 100)
|
||||
agg.Record("latency", 200)
|
||||
agg.Record("latency", 300)
|
||||
|
||||
avg, _ := agg.GetAverage("latency")
|
||||
assert.Equal(t, 200.0, avg)
|
||||
}
|
||||
|
||||
func TestGetMax(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
agg.Record("latency", 100)
|
||||
agg.Record("latency", 500)
|
||||
agg.Record("latency", 300)
|
||||
|
||||
max, _ := agg.GetMax("latency")
|
||||
assert.Equal(t, 500.0, max)
|
||||
}
|
||||
|
||||
func TestGetMin(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
agg.Record("latency", 100)
|
||||
agg.Record("latency", 500)
|
||||
agg.Record("latency", 50)
|
||||
|
||||
min, _ := agg.GetMin("latency")
|
||||
assert.Equal(t, 50.0, min)
|
||||
}
|
||||
|
||||
func TestGetLatest(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
agg.Record("latency", 100)
|
||||
agg.Record("latency", 200)
|
||||
|
||||
latest, _ := agg.GetLatest("latency")
|
||||
assert.Equal(t, 200.0, latest.Value)
|
||||
}
|
||||
|
||||
func TestMultipleMetrics(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
agg.Record("latency", 100)
|
||||
agg.Record("errors", 5)
|
||||
agg.Record("throughput", 1000)
|
||||
|
||||
names := agg.GetMetricNames()
|
||||
assert.Equal(t, 3, len(names))
|
||||
}
|
||||
|
||||
func TestClear(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
agg.Record("latency", 100)
|
||||
agg.Clear()
|
||||
|
||||
names := agg.GetMetricNames()
|
||||
assert.Equal(t, 0, len(names))
|
||||
}
|
||||
|
||||
func TestGetCountInRange(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
now := time.Now()
|
||||
agg.Record("latency", 100)
|
||||
agg.Record("latency", 200)
|
||||
|
||||
count, _ := agg.GetCountInRange("latency", now.Add(-1*time.Minute), now.Add(1*time.Minute))
|
||||
assert.Equal(t, 2, count)
|
||||
}
|
||||
|
||||
func TestNotFoundError(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 100)
|
||||
|
||||
_, err := agg.GetPercentile("nonexistent", 50)
|
||||
assert.Error(t, err)
|
||||
|
||||
_, err = agg.GetAverage("nonexistent")
|
||||
assert.Error(t, err)
|
||||
|
||||
_, err = agg.GetLatest("nonexistent")
|
||||
assert.Error(t, err)
|
||||
}
|
||||
|
||||
func TestMaxSize(t *testing.T) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 5)
|
||||
|
||||
for i := 0; i < 10; i++ {
|
||||
agg.Record("latency", float64(i))
|
||||
}
|
||||
|
||||
series := agg.GetTimeSeries("latency")
|
||||
assert.Equal(t, 5, len(series))
|
||||
}
|
||||
|
||||
func BenchmarkRecord(b *testing.B) {
|
||||
agg := NewMetricsAggregator(1*time.Hour, 1000)
|
||||
|
||||
b.ResetTimer()
|
||||
for i := 0; i < b.N; i++ {
|
||||
agg.Record("latency", float64(i))
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,234 @@
|
||||
package search
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"regexp"
|
||||
"strings"
|
||||
"sync"
|
||||
"time"
|
||||
)
|
||||
|
||||
// WorkflowEntry represents an indexed workflow
|
||||
type WorkflowEntry struct {
|
||||
ID string
|
||||
Name string
|
||||
Status string
|
||||
CreatedAt time.Time
|
||||
UpdatedAt time.Time
|
||||
Tags []string
|
||||
Content string
|
||||
Assignee string
|
||||
}
|
||||
|
||||
// WorkflowSearch provides full-text search and filtering
|
||||
type WorkflowSearch struct {
|
||||
mu sync.RWMutex
|
||||
entries map[string]*WorkflowEntry
|
||||
index map[string][]string // word -> workflow IDs
|
||||
filters map[string]interface{}
|
||||
}
|
||||
|
||||
// NewWorkflowSearch creates a new workflow search index
|
||||
func NewWorkflowSearch() *WorkflowSearch {
|
||||
return &WorkflowSearch{
|
||||
entries: make(map[string]*WorkflowEntry),
|
||||
index: make(map[string][]string),
|
||||
filters: make(map[string]interface{}),
|
||||
}
|
||||
}
|
||||
|
||||
// Index adds a workflow to the search index
|
||||
func (ws *WorkflowSearch) Index(entry *WorkflowEntry) error {
|
||||
if entry.ID == "" {
|
||||
return fmt.Errorf("workflow ID required")
|
||||
}
|
||||
|
||||
ws.mu.Lock()
|
||||
defer ws.mu.Unlock()
|
||||
|
||||
ws.entries[entry.ID] = entry
|
||||
|
||||
// Index content
|
||||
words := strings.Fields(strings.ToLower(entry.Content + " " + entry.Name))
|
||||
for _, word := range words {
|
||||
// Remove punctuation
|
||||
clean := strings.Trim(word, ".,!?;:")
|
||||
if clean != "" {
|
||||
ws.index[clean] = append(ws.index[clean], entry.ID)
|
||||
}
|
||||
}
|
||||
|
||||
return nil
|
||||
}
|
||||
|
||||
// Search performs full-text search
|
||||
func (ws *WorkflowSearch) Search(query string) []*WorkflowEntry {
|
||||
ws.mu.RLock()
|
||||
defer ws.mu.RUnlock()
|
||||
|
||||
query = strings.ToLower(query)
|
||||
matches := make(map[string]int)
|
||||
|
||||
words := strings.Fields(query)
|
||||
for _, word := range words {
|
||||
if ids, exists := ws.index[word]; exists {
|
||||
for _, id := range ids {
|
||||
matches[id]++
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Sort by match count
|
||||
result := make([]*WorkflowEntry, 0)
|
||||
for id := range matches {
|
||||
if entry, exists := ws.entries[id]; exists {
|
||||
result = append(result, entry)
|
||||
}
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
// FilterByStatus filters workflows by status
|
||||
func (ws *WorkflowSearch) FilterByStatus(status string) []*WorkflowEntry {
|
||||
ws.mu.RLock()
|
||||
defer ws.mu.RUnlock()
|
||||
|
||||
result := make([]*WorkflowEntry, 0)
|
||||
for _, entry := range ws.entries {
|
||||
if entry.Status == status {
|
||||
result = append(result, entry)
|
||||
}
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
// FilterByAssignee filters workflows by assignee
|
||||
func (ws *WorkflowSearch) FilterByAssignee(assignee string) []*WorkflowEntry {
|
||||
ws.mu.RLock()
|
||||
defer ws.mu.RUnlock()
|
||||
|
||||
result := make([]*WorkflowEntry, 0)
|
||||
for _, entry := range ws.entries {
|
||||
if entry.Assignee == assignee {
|
||||
result = append(result, entry)
|
||||
}
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
// FilterByTag filters workflows by tag
|
||||
func (ws *WorkflowSearch) FilterByTag(tag string) []*WorkflowEntry {
|
||||
ws.mu.RLock()
|
||||
defer ws.mu.RUnlock()
|
||||
|
||||
result := make([]*WorkflowEntry, 0)
|
||||
for _, entry := range ws.entries {
|
||||
for _, t := range entry.Tags {
|
||||
if t == tag {
|
||||
result = append(result, entry)
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
// FilterByDateRange filters workflows by date range
|
||||
func (ws *WorkflowSearch) FilterByDateRange(start, end time.Time) []*WorkflowEntry {
|
||||
ws.mu.RLock()
|
||||
defer ws.mu.RUnlock()
|
||||
|
||||
result := make([]*WorkflowEntry, 0)
|
||||
for _, entry := range ws.entries {
|
||||
if entry.CreatedAt.After(start) && entry.CreatedAt.Before(end) {
|
||||
result = append(result, entry)
|
||||
}
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
// SearchRegex performs regex search on content
|
||||
func (ws *WorkflowSearch) SearchRegex(pattern string) ([]*WorkflowEntry, error) {
|
||||
re, err := regexp.Compile(pattern)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
ws.mu.RLock()
|
||||
defer ws.mu.RUnlock()
|
||||
|
||||
result := make([]*WorkflowEntry, 0)
|
||||
for _, entry := range ws.entries {
|
||||
if re.MatchString(entry.Content) || re.MatchString(entry.Name) {
|
||||
result = append(result, entry)
|
||||
}
|
||||
}
|
||||
|
||||
return result, nil
|
||||
}
|
||||
|
||||
// SaveFilter saves a named filter
|
||||
func (ws *WorkflowSearch) SaveFilter(name string, filter interface{}) {
|
||||
ws.mu.Lock()
|
||||
defer ws.mu.Unlock()
|
||||
|
||||
ws.filters[name] = filter
|
||||
}
|
||||
|
||||
// GetFilter retrieves a saved filter
|
||||
func (ws *WorkflowSearch) GetFilter(name string) (interface{}, bool) {
|
||||
ws.mu.RLock()
|
||||
defer ws.mu.RUnlock()
|
||||
|
||||
filter, exists := ws.filters[name]
|
||||
return filter, exists
|
||||
}
|
||||
|
||||
// GetAll returns all workflows
|
||||
func (ws *WorkflowSearch) GetAll() []*WorkflowEntry {
|
||||
ws.mu.RLock()
|
||||
defer ws.mu.RUnlock()
|
||||
|
||||
result := make([]*WorkflowEntry, 0, len(ws.entries))
|
||||
for _, entry := range ws.entries {
|
||||
result = append(result, entry)
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
// GetByID retrieves a workflow by ID
|
||||
func (ws *WorkflowSearch) GetByID(id string) (*WorkflowEntry, bool) {
|
||||
ws.mu.RLock()
|
||||
defer ws.mu.RUnlock()
|
||||
|
||||
entry, exists := ws.entries[id]
|
||||
return entry, exists
|
||||
}
|
||||
|
||||
// Delete removes a workflow from the index
|
||||
func (ws *WorkflowSearch) Delete(id string) error {
|
||||
ws.mu.Lock()
|
||||
defer ws.mu.Unlock()
|
||||
|
||||
if _, exists := ws.entries[id]; !exists {
|
||||
return fmt.Errorf("workflow not found: %s", id)
|
||||
}
|
||||
|
||||
delete(ws.entries, id)
|
||||
return nil
|
||||
}
|
||||
|
||||
// Clear clears the entire index
|
||||
func (ws *WorkflowSearch) Clear() {
|
||||
ws.mu.Lock()
|
||||
defer ws.mu.Unlock()
|
||||
|
||||
ws.entries = make(map[string]*WorkflowEntry)
|
||||
ws.index = make(map[string][]string)
|
||||
}
|
||||
@@ -0,0 +1,196 @@
|
||||
package search
|
||||
|
||||
import (
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
"github.com/stretchr/testify/assert"
|
||||
)
|
||||
|
||||
func TestIndex(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
entry := &WorkflowEntry{
|
||||
ID: "wf-1",
|
||||
Name: "Deploy Service",
|
||||
Status: "completed",
|
||||
Content: "deployment task",
|
||||
}
|
||||
|
||||
err := ws.Index(entry)
|
||||
assert.NoError(t, err)
|
||||
|
||||
retrieved, exists := ws.GetByID("wf-1")
|
||||
assert.True(t, exists)
|
||||
assert.Equal(t, "Deploy Service", retrieved.Name)
|
||||
}
|
||||
|
||||
func TestSearch(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-1",
|
||||
Name: "Deploy Service",
|
||||
Content: "deployment production",
|
||||
})
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-2",
|
||||
Name: "Build Docker",
|
||||
Content: "docker image",
|
||||
})
|
||||
|
||||
results := ws.Search("deployment")
|
||||
assert.Equal(t, 1, len(results))
|
||||
assert.Equal(t, "wf-1", results[0].ID)
|
||||
}
|
||||
|
||||
func TestFilterByStatus(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{ID: "wf-1", Status: "completed"})
|
||||
ws.Index(&WorkflowEntry{ID: "wf-2", Status: "running"})
|
||||
ws.Index(&WorkflowEntry{ID: "wf-3", Status: "completed"})
|
||||
|
||||
results := ws.FilterByStatus("completed")
|
||||
assert.Equal(t, 2, len(results))
|
||||
}
|
||||
|
||||
func TestFilterByAssignee(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{ID: "wf-1", Assignee: "alice"})
|
||||
ws.Index(&WorkflowEntry{ID: "wf-2", Assignee: "bob"})
|
||||
ws.Index(&WorkflowEntry{ID: "wf-3", Assignee: "alice"})
|
||||
|
||||
results := ws.FilterByAssignee("alice")
|
||||
assert.Equal(t, 2, len(results))
|
||||
}
|
||||
|
||||
func TestFilterByTag(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-1",
|
||||
Tags: []string{"production", "critical"},
|
||||
})
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-2",
|
||||
Tags: []string{"staging"},
|
||||
})
|
||||
|
||||
results := ws.FilterByTag("production")
|
||||
assert.Equal(t, 1, len(results))
|
||||
}
|
||||
|
||||
func TestFilterByDateRange(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
now := time.Now()
|
||||
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-1",
|
||||
CreatedAt: now.Add(-1 * time.Hour),
|
||||
})
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-2",
|
||||
CreatedAt: now.Add(-24 * time.Hour),
|
||||
})
|
||||
|
||||
results := ws.FilterByDateRange(now.Add(-2*time.Hour), now)
|
||||
assert.Equal(t, 1, len(results))
|
||||
}
|
||||
|
||||
func TestSearchRegex(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-1",
|
||||
Content: "error 404 not found",
|
||||
})
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-2",
|
||||
Content: "success 200 ok",
|
||||
})
|
||||
|
||||
results, err := ws.SearchRegex("error.*404")
|
||||
assert.NoError(t, err)
|
||||
assert.Equal(t, 1, len(results))
|
||||
}
|
||||
|
||||
func TestSaveAndGetFilter(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
filter := map[string]interface{}{"status": "completed"}
|
||||
ws.SaveFilter("completed-only", filter)
|
||||
|
||||
retrieved, exists := ws.GetFilter("completed-only")
|
||||
assert.True(t, exists)
|
||||
assert.NotNil(t, retrieved)
|
||||
}
|
||||
|
||||
func TestGetAll(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{ID: "wf-1"})
|
||||
ws.Index(&WorkflowEntry{ID: "wf-2"})
|
||||
ws.Index(&WorkflowEntry{ID: "wf-3"})
|
||||
|
||||
all := ws.GetAll()
|
||||
assert.Equal(t, 3, len(all))
|
||||
}
|
||||
|
||||
func TestDelete(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{ID: "wf-1"})
|
||||
ws.Delete("wf-1")
|
||||
|
||||
_, exists := ws.GetByID("wf-1")
|
||||
assert.False(t, exists)
|
||||
}
|
||||
|
||||
func TestClear(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{ID: "wf-1"})
|
||||
ws.Index(&WorkflowEntry{ID: "wf-2"})
|
||||
ws.Clear()
|
||||
|
||||
all := ws.GetAll()
|
||||
assert.Equal(t, 0, len(all))
|
||||
}
|
||||
|
||||
func TestMultiwordSearch(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-1",
|
||||
Content: "deploy service to production",
|
||||
})
|
||||
|
||||
results := ws.Search("deploy service")
|
||||
assert.Equal(t, 1, len(results))
|
||||
}
|
||||
|
||||
func TestCaseSensitivity(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
ws.Index(&WorkflowEntry{
|
||||
ID: "wf-1",
|
||||
Content: "Deploy Service Production",
|
||||
})
|
||||
|
||||
results := ws.Search("deploy")
|
||||
assert.Equal(t, 1, len(results))
|
||||
}
|
||||
|
||||
func TestIndexError(t *testing.T) {
|
||||
ws := NewWorkflowSearch()
|
||||
|
||||
entry := &WorkflowEntry{
|
||||
Name: "No ID",
|
||||
}
|
||||
|
||||
err := ws.Index(entry)
|
||||
assert.Error(t, err)
|
||||
}
|
||||
@@ -0,0 +1,237 @@
|
||||
package visualization
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// TaskNode represents a task in the DAG
|
||||
type TaskNode struct {
|
||||
ID string
|
||||
Status string // pending, running, completed, failed
|
||||
Duration float64
|
||||
Critical bool
|
||||
}
|
||||
|
||||
// DAGRenderer renders workflow dependency graphs
|
||||
type DAGRenderer struct {
|
||||
nodes map[string]*TaskNode
|
||||
edges map[string][]string
|
||||
}
|
||||
|
||||
// NewDAGRenderer creates a new DAG renderer
|
||||
func NewDAGRenderer() *DAGRenderer {
|
||||
return &DAGRenderer{
|
||||
nodes: make(map[string]*TaskNode),
|
||||
edges: make(map[string][]string),
|
||||
}
|
||||
}
|
||||
|
||||
// AddNode adds a task node
|
||||
func (dr *DAGRenderer) AddNode(id, status string, duration float64) {
|
||||
dr.nodes[id] = &TaskNode{
|
||||
ID: id,
|
||||
Status: status,
|
||||
Duration: duration,
|
||||
}
|
||||
}
|
||||
|
||||
// AddEdge adds a dependency edge
|
||||
func (dr *DAGRenderer) AddEdge(from, to string) error {
|
||||
if _, exists := dr.nodes[from]; !exists {
|
||||
return fmt.Errorf("source node not found: %s", from)
|
||||
}
|
||||
if _, exists := dr.nodes[to]; !exists {
|
||||
return fmt.Errorf("target node not found: %s", to)
|
||||
}
|
||||
|
||||
dr.edges[from] = append(dr.edges[from], to)
|
||||
return nil
|
||||
}
|
||||
|
||||
// MarkCriticalPath marks nodes on the critical path
|
||||
func (dr *DAGRenderer) MarkCriticalPath(nodes []string) error {
|
||||
for _, nodeID := range nodes {
|
||||
if node, exists := dr.nodes[nodeID]; exists {
|
||||
node.Critical = true
|
||||
} else {
|
||||
return fmt.Errorf("node not found: %s", nodeID)
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// RenderDOT generates DOT format for Graphviz
|
||||
func (dr *DAGRenderer) RenderDOT() string {
|
||||
var buf strings.Builder
|
||||
|
||||
buf.WriteString("digraph WorkflowDAG {\n")
|
||||
buf.WriteString(" rankdir=LR;\n")
|
||||
buf.WriteString(" node [shape=box];\n\n")
|
||||
|
||||
// Render nodes
|
||||
for _, node := range dr.nodes {
|
||||
color := "lightgray"
|
||||
if node.Critical {
|
||||
color = "red"
|
||||
} else if node.Status == "completed" {
|
||||
color = "lightgreen"
|
||||
} else if node.Status == "failed" {
|
||||
color = "lightcoral"
|
||||
} else if node.Status == "running" {
|
||||
color = "lightyellow"
|
||||
}
|
||||
|
||||
label := fmt.Sprintf("%s\\n%.0fms", node.ID, node.Duration)
|
||||
buf.WriteString(fmt.Sprintf(" \"%s\" [label=\"%s\", fillcolor=%s, style=filled];\n",
|
||||
node.ID, label, color))
|
||||
}
|
||||
|
||||
buf.WriteString("\n")
|
||||
|
||||
// Render edges
|
||||
for from, tos := range dr.edges {
|
||||
for _, to := range tos {
|
||||
buf.WriteString(fmt.Sprintf(" \"%s\" -> \"%s\";\n", from, to))
|
||||
}
|
||||
}
|
||||
|
||||
buf.WriteString("}\n")
|
||||
return buf.String()
|
||||
}
|
||||
|
||||
// RenderHTML generates a simple HTML visualization
|
||||
func (dr *DAGRenderer) RenderHTML() string {
|
||||
var buf strings.Builder
|
||||
|
||||
buf.WriteString("<html><body>\n")
|
||||
buf.WriteString("<h1>Workflow DAG</h1>\n")
|
||||
buf.WriteString("<table border='1'>\n")
|
||||
buf.WriteString("<tr><th>Task ID</th><th>Status</th><th>Duration (ms)</th><th>Critical Path</th></tr>\n")
|
||||
|
||||
for _, node := range dr.nodes {
|
||||
critical := "No"
|
||||
if node.Critical {
|
||||
critical = "Yes"
|
||||
}
|
||||
buf.WriteString(fmt.Sprintf("<tr><td>%s</td><td>%s</td><td>%.0f</td><td>%s</td></tr>\n",
|
||||
node.ID, node.Status, node.Duration, critical))
|
||||
}
|
||||
|
||||
buf.WriteString("</table>\n")
|
||||
buf.WriteString("</body></html>\n")
|
||||
return buf.String()
|
||||
}
|
||||
|
||||
// GetTopologicalSort returns tasks in topological order
|
||||
func (dr *DAGRenderer) GetTopologicalSort() ([]string, error) {
|
||||
// Simple topological sort using DFS
|
||||
visited := make(map[string]bool)
|
||||
result := make([]string, 0)
|
||||
|
||||
var visit func(string) error
|
||||
visit = func(nodeID string) error {
|
||||
if visited[nodeID] {
|
||||
return nil
|
||||
}
|
||||
visited[nodeID] = true
|
||||
|
||||
// Visit dependencies first
|
||||
for _, dep := range dr.edges[nodeID] {
|
||||
if err := visit(dep); err != nil {
|
||||
return err
|
||||
}
|
||||
}
|
||||
|
||||
result = append(result, nodeID)
|
||||
return nil
|
||||
}
|
||||
|
||||
for nodeID := range dr.nodes {
|
||||
if err := visit(nodeID); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
}
|
||||
|
||||
return result, nil
|
||||
}
|
||||
|
||||
// GetParallel returns groups of tasks that can run in parallel
|
||||
func (dr *DAGRenderer) GetParallel() map[int][]string {
|
||||
levels := make(map[int][]string)
|
||||
inDegree := make(map[string]int)
|
||||
|
||||
// Calculate in-degree
|
||||
for _, node := range dr.nodes {
|
||||
inDegree[node.ID] = 0
|
||||
}
|
||||
|
||||
for _, tos := range dr.edges {
|
||||
for _, to := range tos {
|
||||
inDegree[to]++
|
||||
}
|
||||
}
|
||||
|
||||
// Find nodes by level
|
||||
processed := make(map[string]bool)
|
||||
level := 0
|
||||
|
||||
for len(processed) < len(dr.nodes) {
|
||||
var current []string
|
||||
|
||||
for _, node := range dr.nodes {
|
||||
if !processed[node.ID] && inDegree[node.ID] == 0 {
|
||||
current = append(current, node.ID)
|
||||
}
|
||||
}
|
||||
|
||||
if len(current) == 0 {
|
||||
break
|
||||
}
|
||||
|
||||
levels[level] = current
|
||||
|
||||
// Update in-degrees
|
||||
for _, nodeID := range current {
|
||||
processed[nodeID] = true
|
||||
for _, to := range dr.edges[nodeID] {
|
||||
inDegree[to]--
|
||||
}
|
||||
}
|
||||
|
||||
level++
|
||||
}
|
||||
|
||||
return levels
|
||||
}
|
||||
|
||||
// GetStats returns statistics about the DAG
|
||||
func (dr *DAGRenderer) GetStats() map[string]interface{} {
|
||||
totalDuration := 0.0
|
||||
maxDuration := 0.0
|
||||
criticalCount := 0
|
||||
edgeCount := 0
|
||||
|
||||
for _, node := range dr.nodes {
|
||||
totalDuration += node.Duration
|
||||
if node.Duration > maxDuration {
|
||||
maxDuration = node.Duration
|
||||
}
|
||||
if node.Critical {
|
||||
criticalCount++
|
||||
}
|
||||
}
|
||||
|
||||
// Count total edges
|
||||
for _, tos := range dr.edges {
|
||||
edgeCount += len(tos)
|
||||
}
|
||||
|
||||
return map[string]interface{}{
|
||||
"node_count": len(dr.nodes),
|
||||
"edge_count": edgeCount,
|
||||
"total_duration": totalDuration,
|
||||
"max_duration": maxDuration,
|
||||
"critical_count": criticalCount,
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,135 @@
|
||||
package visualization
|
||||
|
||||
import (
|
||||
"strings"
|
||||
"testing"
|
||||
|
||||
"github.com/stretchr/testify/assert"
|
||||
)
|
||||
|
||||
func TestAddNode(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
|
||||
assert.NotNil(t, dag.nodes["T1"])
|
||||
assert.Equal(t, "completed", dag.nodes["T1"].Status)
|
||||
}
|
||||
|
||||
func TestAddEdge(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
dag.AddNode("T2", "completed", 200)
|
||||
|
||||
err := dag.AddEdge("T1", "T2")
|
||||
assert.NoError(t, err)
|
||||
assert.Equal(t, 1, len(dag.edges["T1"]))
|
||||
}
|
||||
|
||||
func TestAddEdgeNotFound(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
|
||||
err := dag.AddEdge("T1", "T2")
|
||||
assert.Error(t, err)
|
||||
}
|
||||
|
||||
func TestMarkCriticalPath(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
dag.AddNode("T2", "completed", 200)
|
||||
|
||||
err := dag.MarkCriticalPath([]string{"T1", "T2"})
|
||||
assert.NoError(t, err)
|
||||
assert.True(t, dag.nodes["T1"].Critical)
|
||||
assert.True(t, dag.nodes["T2"].Critical)
|
||||
}
|
||||
|
||||
func TestRenderDOT(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
dag.AddNode("T2", "running", 200)
|
||||
dag.AddEdge("T1", "T2")
|
||||
|
||||
dot := dag.RenderDOT()
|
||||
assert.True(t, strings.Contains(dot, "digraph WorkflowDAG"))
|
||||
assert.True(t, strings.Contains(dot, "T1"))
|
||||
assert.True(t, strings.Contains(dot, "T2"))
|
||||
assert.True(t, strings.Contains(dot, "->"))
|
||||
}
|
||||
|
||||
func TestRenderHTML(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
|
||||
html := dag.RenderHTML()
|
||||
assert.True(t, strings.Contains(html, "<html>"))
|
||||
assert.True(t, strings.Contains(html, "Workflow DAG"))
|
||||
assert.True(t, strings.Contains(html, "T1"))
|
||||
}
|
||||
|
||||
func TestGetTopologicalSort(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
dag.AddNode("T2", "completed", 200)
|
||||
dag.AddNode("T3", "completed", 150)
|
||||
|
||||
dag.AddEdge("T1", "T2")
|
||||
dag.AddEdge("T2", "T3")
|
||||
|
||||
sorted, err := dag.GetTopologicalSort()
|
||||
assert.NoError(t, err)
|
||||
assert.Equal(t, 3, len(sorted))
|
||||
}
|
||||
|
||||
func TestGetParallel(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
dag.AddNode("T2", "completed", 200)
|
||||
dag.AddNode("T3", "completed", 150)
|
||||
|
||||
dag.AddEdge("T1", "T3")
|
||||
|
||||
parallel := dag.GetParallel()
|
||||
assert.True(t, len(parallel) > 0)
|
||||
}
|
||||
|
||||
func TestGetStats(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
dag.AddNode("T2", "completed", 200)
|
||||
dag.AddEdge("T1", "T2")
|
||||
|
||||
stats := dag.GetStats()
|
||||
assert.Equal(t, 2, stats["node_count"])
|
||||
assert.Equal(t, 1, stats["edge_count"])
|
||||
assert.Equal(t, 300.0, stats["total_duration"])
|
||||
}
|
||||
|
||||
func TestCriticalPathHighlighting(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
dag.AddNode("T1", "completed", 100)
|
||||
dag.AddNode("T2", "completed", 200)
|
||||
dag.MarkCriticalPath([]string{"T1", "T2"})
|
||||
|
||||
dot := dag.RenderDOT()
|
||||
assert.True(t, strings.Contains(dot, "fillcolor=red"))
|
||||
}
|
||||
|
||||
func TestComplexDAG(t *testing.T) {
|
||||
dag := NewDAGRenderer()
|
||||
|
||||
// Create a diamond-shaped DAG
|
||||
dag.AddNode("Start", "completed", 50)
|
||||
dag.AddNode("A", "completed", 100)
|
||||
dag.AddNode("B", "completed", 150)
|
||||
dag.AddNode("End", "completed", 50)
|
||||
|
||||
dag.AddEdge("Start", "A")
|
||||
dag.AddEdge("Start", "B")
|
||||
dag.AddEdge("A", "End")
|
||||
dag.AddEdge("B", "End")
|
||||
|
||||
stats := dag.GetStats()
|
||||
assert.Equal(t, 4, stats["node_count"])
|
||||
assert.Equal(t, 4, stats["edge_count"])
|
||||
}
|
||||
Reference in New Issue
Block a user