Add Report

Add Report Card to ClaudeBar

Add new report cards that analyze local data sources, compute metrics with comparison deltas, and display them in the existing card UI style using TDD.

When to Use

This skill covers adding report-style features — cards that:

• Read and parse local data files (JSONL, JSON, CSV, etc.)
• Aggregate metrics (cost, tokens, time, counts)
• Compare periods (today vs yesterday, this week vs last week)
• Display results in glassmorphism cards matching the existing UI

Architecture Pattern

Every report feature follows this data flow:

Data Source → Parser → Analyzer → Report Model → UsageSnapshot → Card View

Mapped to the codebase layers:

Reference implementation: See references/daily-usage-pattern.md for the complete DailyUsage feature as a working example of this pattern.

Workflow

Phase 0: Architecture Design (get user approval)
    ↓
Phase 1: Domain Models + Tests (TDD Red→Green)
    ↓
Phase 2: Infrastructure Parser + Analyzer + Tests
    ↓
Phase 3: Card View + Integration
    ↓
Phase 4: Verify all tests pass

Phase 0: Architecture Design (MANDATORY)

Before writing code, design the feature and get user approval.

Step 1: Define the Report

Answer these questions:

• What data source? (JSONL sessions, API response, local DB, etc.)
• What metrics? (cost, tokens, time, counts, etc.)
• What comparison period? (today vs yesterday, this week vs last, etc.)
• Which provider? (Claude, Codex, or generic across all?)
• How many cards? (one per metric, or a single combined card?)

Step 2: Create Architecture Diagram

Example: Adding a weekly cost breakdown report

┌─────────────────────────────────────────────────────────┐
│  Data Source        Infrastructure          Domain       │
│                                                          │
│  ~/.claude/    →  WeeklyParser        →  WeeklyStat     │
│  projects/        (reads JSONL)          (per-day cost) │
│  *.jsonl                                                 │
│                    WeeklyAnalyzer     →  WeeklyReport   │
│                    (aggregates by        (this week vs  │
│                     week, implements      last week)    │
│                     protocol)                            │
│                          ↓                    ↓          │
│                    Provider.refresh()  → UsageSnapshot   │
│                                          .weeklyReport   │
│                          ↓                               │
│                    statsGrid() → WeeklyCardView          │
└─────────────────────────────────────────────────────────┘

Step 3: Document Components

Step 4: Get User Approval

Use AskUserQuestion to confirm the design before proceeding.

Phase 1: Domain Models (TDD)

1a. Create the Stat Model

The stat model represents one period's aggregated data with rich formatting behavior.

Location: Sources/Domain/{Feature}/{Name}Stat.swift

Pattern to follow:

import Foundation

public struct {Name}Stat: Sendable, Equatable {
    public let date: Date
    // Add your metrics here
    public let metricA: Decimal
    public let metricB: Int

    // Formatting — encapsulate in the model, not the view
    public var formattedMetricA: String { /* currency, compact number, duration, etc. */ }
    public var formattedMetricB: String { /* ... */ }

    public var isEmpty: Bool { /* all zeros check */ }
    public static func empty(for date: Date) -> Self { /* zero-valued instance */ }
}

Key rules:

• Use Decimal for monetary values (not Double — floating point errors)
• Use TimeInterval for durations
• Use Locale(identifier: "en_US") for currency formatting (not en_US_POSIX which adds a space)
• All formatting lives in the model — views just read formatted strings
• isEmpty uses && (all zeros = empty), not ||

1b. Create the Report Model

The report model compares two periods and computes deltas.

Location: Sources/Domain/{Feature}/{Name}Report.swift

Pattern to follow:

public struct {Name}Report: Sendable, Equatable {
    public let current: {Name}Stat   // e.g., today, this week
    public let previous: {Name}Stat  // e.g., yesterday, last week

    // Delta calculations
    public var metricADelta: Decimal { current.metricA - previous.metricA }
    public var metricAChangePercent: Double? {
        guard previous.metricA > 0 else { return nil }  // nil when previous is zero
        // ...
    }

    // Formatted deltas with sign: "+$5.00", "-1.2M"
    public var formattedMetricADelta: String { /* ... */ }

    // Progress for bar display (0-1 ratio of current vs total)
    public var metricAProgress: Double {
        let total = /* current + previous */
        guard total > 0 else { return 0 }
        return current / total
    }
}

Key rules:

• Change percent returns nil when previous is zero (avoid division by zero)
• Formatted deltas always include sign (+ or -)
• Progress is current / (current + previous), clamped to 0-1
• Use abs() for formatted values, prepend sign separately

1c. Create the Protocol

Location: Sources/Domain/{Feature}/{Name}Analyzing.swift

import Mockable

@Mockable
public protocol {Name}Analyzing: Sendable {
    func analyze() async throws -> {Name}Report
}

1d. Write Tests First

Location: Tests/DomainTests/{Feature}/

Create two test files following Chicago School TDD (test state, not interactions):

• {Name}StatTests.swift — Test formatting, isEmpty, edge cases
• {Name}ReportTests.swift — Test deltas, percentages, nil cases, progress

import Foundation
import Testing
@testable import Domain

@Suite
struct {Name}StatTests {
    @Test func `formats metric as expected`() {
        let stat = {Name}Stat(date: Date(), metricA: 14.26, ...)
        #expect(stat.formattedMetricA == "$14.26")
    }
    // ...
}

After writing tests → implement the models → run tests → all green.

Phase 2: Infrastructure (TDD)

2a. Create the Parser (if reading files)

If the report reads local files (JSONL, JSON, CSV), create a parser.

Location: Sources/Infrastructure/{Provider}/{Name}Parser.swift

Pattern: Parser is a struct (not protocol) since it's a pure data transformation.

struct {Name}Parser {
    func parse(fileURL: URL) throws -> [{Name}Record] { /* ... */ }
    func parse(content: String) -> [{Name}Record] { /* for testing */ }
}

2b. Create the Analyzer

Location: Sources/Infrastructure/{Provider}/{Provider}{Name}Analyzer.swift

The analyzer implements the domain protocol and orchestrates:

1. Find relevant files (filter by modification date for performance)
2. Parse files into records
3. Partition records by time period
4. Aggregate into stat models
5. Return report

Performance rule: Only scan files modified within the relevant time window. With 2000+ JSONL files, scanning all of them is too slow.

public struct {Provider}{Name}Analyzer: {Name}Analyzing, Sendable {
    public func analyze() async throws -> {Name}Report {
        let files = findRecentFiles(since: periodStart)  // Performance!
        // parse → partition → aggregate → return
    }
}

2c. Write Infrastructure Tests

Location: Tests/InfrastructureTests/{Provider}/

• Parser tests: valid input, missing fields, malformed data, timestamps
• Analyzer tests: use temp directories with JSONL content, test date partitioning

Phase 3: Card View + Integration

3a. Create the Card View

Location: Sources/App/Views/{Name}CardView.swift

The card must match the existing glassmorphism style. Use WrappedStatCard as the reference:

struct {Name}CardView: View {
    let metric: {Name}Metric  // enum for each displayable metric
    let report: {Name}Report
    let delay: Double          // for cascading entrance animation

    @Environment(\.appTheme) private var theme

    var body: some View {
        VStack(alignment: .leading, spacing: 6) {
            // 1. Header: icon + LABEL (uppercased)
            // 2. Large value (e.g., "$14.26" or "19.5M")
            // 3. Progress bar (animated)
            // 4. Delta comparison line (e.g., "Vs Mar 10 -$27.47 (4.9%)")
        }
        .padding(12)
        .background(/* theme.cardGradient + theme.glassBorder stroke */)
        .scaleEffect(isHovering ? 1.015 : 1.0)
        .onHover { isHovering = $0 }
    }
}

Card styling checklist:

• .padding(12) on the VStack
• theme.cardGradient fill + theme.glassBorder stroke (1pt)
• theme.cardCornerRadius for corners
• theme.fontDesign on all text
• theme.textPrimary / theme.textSecondary / theme.textTertiary for text hierarchy
• theme.progressTrack for bar background
• Hover scale effect (1.015)
• Animated progress bar with delay parameter

3b. Add to UsageSnapshot

Add an optional field for the report:

// In Sources/Domain/Provider/UsageSnapshot.swift
public let {name}Report: {Name}Report?
// Add to init with default nil

3c. Wire into Provider

Inject the analyzer into the provider that owns this data:

// In the provider's init:
private let {name}Analyzer: (any {Name}Analyzing)?

// In refresh():
snapshot = await attach{Name}Report(to: newSnapshot)

// Helper method:
private func attach{Name}Report(to snapshot: UsageSnapshot) async -> UsageSnapshot {
    guard let analyzer = {name}Analyzer,
          let report = try? await analyzer.analyze(),
          !report.current.isEmpty else { return snapshot }
    return UsageSnapshot(/* copy all fields, add report */)
}

3d. Render in statsGrid

Add to MenuContentView.statsGrid(snapshot:):

if let report = snapshot.{name}Report {
    let baseDelay = Double(snapshot.quotas.count + 1) * 0.08
    // Render card(s) in LazyVGrid or standalone
}

3e. Register in ClaudeBarApp

Pass the analyzer when creating the provider:

{Provider}Provider(
    probe: ...,
    settingsRepository: settingsRepository,
    {name}Analyzer: {Provider}{Name}Analyzer()
)

Phase 4: Verify

1. tuist generate
2. Run all tests: xcodebuild test -scheme ClaudeBar-Workspace ...
3. Build the app and verify the cards appear
4. Check logs for analyzer output

Checklist

Phase 0: Architecture

• Define data source, metrics, comparison period, provider
• Create architecture diagram
• Get user approval

Phase 1: Domain (TDD)

• Write {Name}StatTests (formatting, isEmpty, edge cases)
• Implement {Name}Stat — make tests green
• Write {Name}ReportTests (deltas, percentages, progress)
• Implement {Name}Report — make tests green
• Create {Name}Analyzing protocol with @Mockable

Phase 2: Infrastructure (TDD)

• Write parser tests (valid input, missing fields, malformed data)
• Implement parser — make tests green
• Write analyzer tests (temp dirs, date partitioning)
• Implement analyzer with file modification date filtering
• Run all infrastructure tests green

Phase 3: Integration

• Create {Name}CardView matching glassmorphism style
• Add {name}Report field to UsageSnapshot
• Wire analyzer into provider's refresh() via attach{Name}Report
• Render cards in statsGrid
• Register analyzer in ClaudeBarApp

Phase 4: Verify

• tuist generate succeeds
• All tests pass
• App builds and cards render correctly
• Logs show analyzer activity