Implement the complete Cobra command tree (11 subcommands): - cmd/root.go: Root command with persistent flags (--days, --project, --model, --no-cache, --data-dir, --quiet, --no-subagents). Shared loadData() orchestrates the full pipeline: tries cache-assisted loading first, falls back to uncached parse on cache failure, reports progress to stderr. applyFilters() applies project/model substring filters and computes the time window. - cmd/summary.go: Default command (also "cburn summary"). Renders a bordered metrics table with token breakdown (5 types), cost with cache savings, and per-day rates with period-over-period deltas. - cmd/costs.go: Detailed cost analysis — breaks down costs by token type (output, cache_write_1h, input, cache_write_5m, cache_read) with share percentages, period comparison bar chart, and per-model cost breakdown (input/output/cache/total columns). - cmd/daily.go: Daily usage table (date, weekday, sessions, prompts, tokens, cost) sorted most-recent-first. - cmd/hourly.go: Activity heatmap showing prompt distribution across 24 hours with Unicode block bars, reports peak hour. - cmd/models.go: Model usage ranking with API call counts, token volumes, cost, and usage share percentage. - cmd/projects.go: Project ranking by cost with session/prompt/token counts. - cmd/sessions.go: Session list sorted by recency with --limit flag (default 20). Shows start time, project, duration, tokens, cost. Marks subagent sessions with "(sub)" suffix. - cmd/config_cmd.go: Displays current configuration across all sections (general, admin API, appearance, budget) with auto- detected plan ceiling. - cmd/setup.go: Interactive first-run wizard — configures Admin API key, default time range (7/30/90 days), and color theme (Flexoki Dark, Catppuccin Mocha, Tokyo Night, Terminal). Saves to ~/.config/cburn/config.toml. - cmd/tui.go: Launches the interactive Bubble Tea TUI dashboard, passing through all filter flags and applying the configured theme. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
165 lines
4.5 KiB
Go
165 lines
4.5 KiB
Go
package cmd
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import (
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"fmt"
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"cburn/internal/cli"
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"cburn/internal/config"
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"cburn/internal/pipeline"
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"github.com/spf13/cobra"
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)
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var costsCmd = &cobra.Command{
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Use: "costs",
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Short: "Cost breakdown by token type and model",
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RunE: runCosts,
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}
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func init() {
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rootCmd.AddCommand(costsCmd)
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}
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func runCosts(_ *cobra.Command, _ []string) error {
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result, err := loadData()
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if err != nil {
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return err
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}
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if len(result.Sessions) == 0 {
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fmt.Println("\n No sessions found.")
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return nil
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}
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filtered, since, until := applyFilters(result.Sessions)
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stats := pipeline.Aggregate(filtered, since, until)
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models := pipeline.AggregateModels(filtered, since, until)
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if stats.TotalSessions == 0 {
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fmt.Println("\n No sessions in the selected time range.")
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return nil
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}
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// Previous period for comparison
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prevDuration := until.Sub(since)
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prevSince := since.Add(-prevDuration)
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prevStats := pipeline.Aggregate(filtered, prevSince, since)
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fmt.Println()
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fmt.Println(cli.RenderTitle(fmt.Sprintf("COST BREAKDOWN Last %dd", flagDays)))
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fmt.Println()
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// Cost by token type
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type tokenCost struct {
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name string
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cost float64
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}
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// Calculate costs per token type from raw token counts using canonical pricing
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var inputCost, outputCost, cache5mCost, cache1hCost, cacheReadCost float64
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for _, s := range pipeline.FilterByTime(filtered, since, until) {
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for modelName, mu := range s.Models {
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p, ok := config.LookupPricing(modelName)
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if !ok {
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continue
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}
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inputCost += float64(mu.InputTokens) * p.InputPerMTok / 1_000_000
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outputCost += float64(mu.OutputTokens) * p.OutputPerMTok / 1_000_000
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cache5mCost += float64(mu.CacheCreation5mTokens) * p.CacheWrite5mPerMTok / 1_000_000
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cache1hCost += float64(mu.CacheCreation1hTokens) * p.CacheWrite1hPerMTok / 1_000_000
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cacheReadCost += float64(mu.CacheReadTokens) * p.CacheReadPerMTok / 1_000_000
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}
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}
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totalCost := inputCost + outputCost + cache5mCost + cache1hCost + cacheReadCost
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costs := []tokenCost{
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{"Output", outputCost},
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{"Cache Write (1h)", cache1hCost},
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{"Input", inputCost},
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{"Cache Write (5m)", cache5mCost},
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{"Cache Read", cacheReadCost},
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}
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// Sort by cost descending (already in expected order, but ensure)
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typeRows := make([][]string, 0, len(costs)+2)
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for _, tc := range costs {
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pct := ""
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if totalCost > 0 {
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pct = fmt.Sprintf("%.1f%%", tc.cost/totalCost*100)
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}
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typeRows = append(typeRows, []string{tc.name, cli.FormatCost(tc.cost), pct})
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}
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typeRows = append(typeRows, []string{"---"})
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typeRows = append(typeRows, []string{"TOTAL", cli.FormatCost(totalCost), ""})
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fmt.Print(cli.RenderTable(cli.Table{
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Title: "By Token Type",
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Headers: []string{"Type", "Cost", "Share"},
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Rows: typeRows,
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}))
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// Period comparison
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if prevStats.EstimatedCost > 0 {
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fmt.Printf(" Period Comparison\n")
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maxCost := stats.EstimatedCost
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if prevStats.EstimatedCost > maxCost {
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maxCost = prevStats.EstimatedCost
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}
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fmt.Printf(" This %dd %s %s\n",
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flagDays,
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cli.RenderHorizontalBar("", stats.EstimatedCost, maxCost, 30),
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cli.FormatCost(stats.EstimatedCost))
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fmt.Printf(" Prev %dd %s %s\n\n",
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flagDays,
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cli.RenderHorizontalBar("", prevStats.EstimatedCost, maxCost, 30),
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cli.FormatCost(prevStats.EstimatedCost))
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}
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// Cost by model
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modelRows := make([][]string, 0, len(models)+2)
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for _, ms := range models {
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p, _ := config.LookupPricing(ms.Model)
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mInput := float64(ms.InputTokens) * p.InputPerMTok / 1_000_000
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mOutput := float64(ms.OutputTokens) * p.OutputPerMTok / 1_000_000
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mCache := float64(ms.CacheCreation5m)*p.CacheWrite5mPerMTok/1_000_000 +
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float64(ms.CacheCreation1h)*p.CacheWrite1hPerMTok/1_000_000 +
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float64(ms.CacheReadTokens)*p.CacheReadPerMTok/1_000_000
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modelRows = append(modelRows, []string{
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shortModel(ms.Model),
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cli.FormatCost(mInput),
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cli.FormatCost(mOutput),
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cli.FormatCost(mCache),
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cli.FormatCost(ms.EstimatedCost),
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})
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}
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modelRows = append(modelRows, []string{"---"})
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modelRows = append(modelRows, []string{
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"TOTAL",
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cli.FormatCost(inputCost),
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cli.FormatCost(outputCost),
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cli.FormatCost(cache5mCost + cache1hCost + cacheReadCost),
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cli.FormatCost(totalCost),
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})
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fmt.Print(cli.RenderTable(cli.Table{
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Title: "By Model",
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Headers: []string{"Model", "Input", "Output", "Cache", "Total"},
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Rows: modelRows,
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}))
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fmt.Printf(" Cache Savings: %s saved this period\n\n",
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cli.FormatCost(stats.CacheSavings))
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return nil
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}
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func shortModel(name string) string {
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// "claude-opus-4-6" -> "opus-4-6"
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if len(name) > 7 && name[:7] == "claude-" {
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return name[7:]
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}
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return name
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}
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