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Mirror the combined multi-device dashboard in the macOS menubar via a Local/Combined scope toggle (Settings -> Display). Builds on the menubar-json `--scope combined` contract. - MenubarScope enum (.local default) persisted in UserDefaults; PayloadCacheKey gains a scope dimension so local and combined payloads cache separately. - DataClient.fetch(scope:): a pure statusSubcommand builder appends `--scope combined` only for combined, forces `--provider all` (the CLI rejects combined with a provider/project/exclude filter), and coerces multi-day selections to local (the CLI rejects combined + --days). - MenubarPayload decodes the optional `combined` block (per-device + totals); nil when absent (back-compat). - The badge always stays on the local payload; the combined network pull lives on a separate cache key and falls back to local with a "Combined unavailable" indicator, so a slow/offline peer never blocks the badge. - Hero shows combined totals + a per-device breakdown in Combined scope; the token metric stays input+output (cache excluded) to match local; the per-device daily-budget warning is suppressed for a multi-device total; selecting Combined resets the provider tab to All. Tests run via `swift test` (CommandLineTools Testing.framework on the rpath, no Xcode): scope persistence, argv (local/combined/provider-forcing/multi-day), cache-key partition, badge-survives-combined-failure, combined decode, token consistency, provider reset, budget suppression.
184 lines
7.5 KiB
Swift
184 lines
7.5 KiB
Swift
import Foundation
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import Testing
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@testable import CodeBurnMenubar
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@Suite("DataClient process")
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struct DataClientProcessTests {
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@Test("status argv local omits scope")
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func statusSubcommandLocalOmitsScope() {
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let args = DataClient.statusSubcommand(
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period: .today,
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provider: .claude,
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includeOptimize: false,
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scope: .local
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)
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#expect(!args.contains("--scope"))
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#expect(value(after: "--provider", in: args) == "claude")
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#expect(args.contains("--no-optimize"))
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}
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@Test("status argv combined adds scope and forces provider all")
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func statusSubcommandCombinedAddsScopeAndForcesAllProvider() {
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let args = DataClient.statusSubcommand(
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period: .today,
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provider: .codex,
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includeOptimize: true,
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scope: .combined
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)
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#expect(value(after: "--scope", in: args) == "combined")
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#expect(value(after: "--provider", in: args) == "all")
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#expect(!args.contains("--no-optimize"))
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}
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@Test("status argv combined multi-day coerces to local")
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func statusSubcommandCombinedMultiDayCoercesToLocal() {
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let args = DataClient.statusSubcommand(
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period: .today,
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days: ["2026-06-01", "2026-06-02"],
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provider: .codex,
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includeOptimize: false,
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scope: .combined
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)
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#expect(!args.contains("--scope"))
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#expect(value(after: "--provider", in: args) == "codex")
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#expect(value(after: "--days", in: args) == "2026-06-01,2026-06-02")
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}
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/// Concurrency + timeout smoke test: launch more hung subprocesses than
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/// there are cooperative threads, all at once, with a short timeout, and
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/// assert every call returns once the timeout kills its sleep.
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///
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/// NOTE: this does NOT reproduce the production permanent deadlock (16/16
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/// cooperative threads parked in waitUntilExit). In a short-lived unit-test
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/// process libdispatch spins up replacement threads for blocked workers, so
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/// even the old blocking-on-the-pool code completes here. The real deadlock
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/// built up over ~2 days under the @MainActor refresh loop and is confirmed
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/// by the live `sample`, not by this test. Kept as a guard that the
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/// off-pool wait + timeout path stays correct under concurrency.
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@Test("concurrent timed-out processes all complete")
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func concurrentTimedOutProcessesAllComplete() {
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let count = ProcessInfo.processInfo.activeProcessorCount * 2 + 4
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let done = DispatchSemaphore(value: 0)
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Task {
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await withTaskGroup(of: Void.self) { group in
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for _ in 0..<count {
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group.addTask {
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let process = Process()
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process.executableURL = URL(fileURLWithPath: "/bin/sleep")
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process.arguments = ["30"]
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_ = try? await DataClient.runProcess(process, timeoutSeconds: 1, label: "sleep 30")
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}
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}
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}
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done.signal()
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}
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// Wait on the test thread (a real thread, not the cooperative pool) so
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// the deadlock is detectable even when the pool is fully starved.
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let outcome = done.wait(timeout: .now() + 15)
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#expect(outcome == .success, "runProcess deadlocked: \(count) concurrent CLIs starved the cooperative pool")
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}
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/// A decode failure surfaces the CLI's actual stdout/stderr so a stray banner
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/// on stdout (see #515) is self-diagnosing instead of an opaque "not valid JSON".
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@Test("decode failure surfaces output")
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func decodeFailureSurfacesOutput() {
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struct Boom: Error {}
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let failure = CLIDecodeFailure(
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underlying: Boom(),
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stdoutByteCount: 13,
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stdoutSnippet: "(node) banner",
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stderr: "warn: x"
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)
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let text = String(describing: failure)
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#expect(text.contains("(node) banner"), "should include the stdout snippet")
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#expect(text.contains("13 bytes"), "should include the stdout byte count")
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#expect(text.contains("warn: x"), "should include stderr")
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}
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/// Empty stdout is reported distinctly (the JSONDecoder-on-empty-Data case).
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@Test("decode failure with empty stdout")
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func decodeFailureWithEmptyStdout() {
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struct Boom: Error {}
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let failure = CLIDecodeFailure(underlying: Boom(), stdoutByteCount: 0, stdoutSnippet: "", stderr: "")
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let text = String(describing: failure)
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#expect(text.contains("0 bytes"))
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#expect(text.contains("<empty>"))
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}
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/// A normally-exiting process returns its real output and exit code through
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/// the off-pool wait path.
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@Test("process returns output and exit code")
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func processReturnsOutputAndExitCode() async throws {
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let process = Process()
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process.executableURL = URL(fileURLWithPath: "/bin/echo")
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process.arguments = ["hello"]
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let result = try await DataClient.runProcess(process, timeoutSeconds: 5, label: "echo hello")
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#expect(result.exitCode == 0)
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#expect(String(data: result.stdout, encoding: .utf8) == "hello\n")
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}
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/// Many NORMALLY-exiting processes, all at once, must every one complete
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/// through the terminationHandler wait path. Guards against the wait path
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/// leaking or wedging under concurrency (the production bug was the wait and
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/// its timeout sharing one queue that saturated under sustained load).
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@Test("many normal processes all complete")
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func manyNormalProcessesAllComplete() async {
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let count = 50
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let codes = await withTaskGroup(of: Int32?.self) { group -> [Int32?] in
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for _ in 0..<count {
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group.addTask {
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let process = Process()
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process.executableURL = URL(fileURLWithPath: "/bin/echo")
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process.arguments = ["ok"]
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return try? await DataClient.runProcess(process, timeoutSeconds: 5, label: "echo ok").exitCode
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}
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}
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var out: [Int32?] = []
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for await code in group { out.append(code) }
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return out
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}
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#expect(codes.count == count)
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#expect(codes.allSatisfy { $0 == 0 },
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"every concurrent process should exit 0 via the terminationHandler wait path")
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}
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/// The async semaphore never lets more than its count run concurrently.
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@Test("async semaphore caps concurrency")
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func asyncSemaphoreCapsConcurrency() async {
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let sem = AsyncSemaphore(2)
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let peak = PeakCounter()
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await withTaskGroup(of: Void.self) { group in
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for _ in 0..<12 {
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group.addTask {
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await sem.acquire()
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await peak.enter()
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try? await Task.sleep(nanoseconds: 8_000_000)
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await peak.leave()
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await sem.release()
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}
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}
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}
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let observed = await peak.peak
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#expect(observed <= 2, "semaphore should cap concurrency at 2, saw \(observed)")
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#expect(observed > 0)
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}
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}
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private func value(after flag: String, in args: [String]) -> String? {
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guard let index = args.firstIndex(of: flag), args.indices.contains(index + 1) else {
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return nil
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}
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return args[index + 1]
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}
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private actor PeakCounter {
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private var current = 0
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private(set) var peak = 0
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func enter() { current += 1; peak = max(peak, current) }
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func leave() { current -= 1 }
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}
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