Document two hard-won patterns in CLAUDE.md's new Architectural Insights section: - ANSI Width Calculation: lipgloss.Width() must be used instead of len() for styled strings, since ANSI escape codes add ~20 bytes per color code. fmt.Sprintf padding is similarly affected. - JSON Top-Level Type Detection: bytes.Contains matches nested strings in JSONL with embedded JSON. Correct approach tracks brace depth and skips quoted strings to find actual top-level fields. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
96 lines
4.7 KiB
Markdown
96 lines
4.7 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## What This Is
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cburn is a CLI + TUI dashboard for analyzing Claude Code usage metrics. It parses JSONL session logs from `~/.claude/projects/`, computes token usage, costs, cache efficiency, and activity patterns, then presents results as CLI tables or an interactive Bubble Tea dashboard.
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## Build & Run
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A `Makefile` wraps all common commands. Go is at `/usr/local/go/bin/go`.
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```bash
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make build # build ./cburn binary
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make install # install to ~/go/bin
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cburn # default: summary command
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cburn tui # interactive dashboard
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cburn costs # cost breakdown
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cburn --no-cache # skip SQLite cache, full reparse
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```
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## Quality Pipeline
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```bash
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make lint # golangci-lint (config: .golangci.yml)
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make test # unit tests
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make test-race # tests with race detector
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make bench # pipeline benchmarks (uses live ~/.claude data)
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make fuzz # fuzz the JSONL parser (default 30s, override: FUZZ_TIME=2m)
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```
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Lint + test should pass before committing. The linter catches security issues (gosec), unchecked errors (errcheck), performance hints (perfsprint, prealloc), and style (revive).
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Tests live alongside the code they test (`*_test.go`). The parser has both unit tests and a fuzz test in `internal/source/parser_test.go`.
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## Architecture
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### Data Flow
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```
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~/.claude/projects/**/*.jsonl
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-> source.ScanDir() + source.ParseFile() (parallel, GOMAXPROCS workers)
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-> store.Cache (SQLite, mtime-based incremental)
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-> pipeline.Aggregate*() functions
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-> CLI renderers (cmd/) or TUI tabs (internal/tui/)
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```
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### Package Map
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| Package | Role |
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|---------|------|
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| `cmd/` | Cobra CLI commands. Each file = one subcommand. `root.go` has shared data loading + filtering. |
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| `internal/source` | File discovery (`ScanDir`) and JSONL parsing (`ParseFile`). Deduplicates by message ID. |
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| `internal/pipeline` | ETL orchestration: parallel loading, cache-aware incremental loading, aggregation functions (`Aggregate`, `AggregateDays`, `AggregateHourly`, `AggregateModels`, `AggregateProjects`). |
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| `internal/store` | SQLite cache layer. Tracks file mtime/size, caches parsed `SessionStats`. |
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| `internal/model` | Domain types: `SessionStats`, `APICall`, `SummaryStats`, `DailyStats`, etc. |
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| `internal/config` | TOML config (`~/.config/cburn/config.toml`), model pricing tables, cost calculation. |
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| `internal/cli` | Terminal formatting: numbers, tokens, costs, tables, horizontal bars. |
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| `internal/claudeai` | claude.ai API client for subscription/usage data. |
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| `internal/tui` | Bubble Tea app. `app.go` is the root model with async data loading. Tab renderers in `tab_*.go`. |
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| `internal/tui/components` | Reusable TUI components: cards, bar charts, sparklines, progress bars, tab bar. |
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| `internal/tui/theme` | Color schemes (flexoki-dark, catppuccin-mocha, tokyo-night, terminal). |
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### Key Design Decisions
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- **Parsing strategy**: User/system entries use byte-level extraction for speed; only assistant entries get full JSON parse (they carry token/cost data).
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- **Deduplication**: Messages are keyed by message ID; the final state wins (handles edits/retries).
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- **Cache**: SQLite at `~/.cache/cburn/sessions.db`. Mtime+size diffing means unchanged files aren't reparsed.
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- **TUI async loading**: Data loads via goroutines posting `tea.Msg`; the UI remains responsive during parse.
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- **Pricing**: Hardcoded in `internal/config/pricing.go` with user overrides in config TOML. Model names are normalized (date suffixes stripped).
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## Configuration
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Config file: `~/.config/cburn/config.toml`
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Env var fallbacks: `ANTHROPIC_ADMIN_KEY`, `CLAUDE_SESSION_KEY`
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Run `cburn setup` for interactive configuration.
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## TUI Layout Conventions
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- `components.CardInnerWidth(w)` computes usable width inside a card border.
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- `components.LayoutRow(w, n)` splits width into n columns accounting for gaps.
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- When rendering inline bars (like Activity panel), dynamically compute column widths from actual data to prevent line wrapping.
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---
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## Architectural Insights (Learned Patterns)
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### ANSI Width Calculation
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**Always use `lipgloss.Width()`, never `len()`** for styled strings. `len()` counts raw bytes including ANSI escape sequences (~20 bytes per color code). A 20-char bar with two color codes becomes ~60+ bytes, breaking column layouts. For padding, use custom width-aware padding since `fmt.Sprintf("%*s")` also pads by byte count.
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### JSON Top-Level Type Detection
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When parsing JSONL with nested JSON content (like Claude Code sessions), `bytes.Contains(line, pattern)` matches nested strings too. For top-level field detection, track brace depth and skip quoted strings to find the actual top-level `"type"` field.
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