mirror of
https://github.com/priyanshujain/sanderling.git
synced 2026-10-02 11:07:10 +00:00
* fix(ltl): give every thunk a construction identity Two distinct unnamed predicates both described as "Thunk(...)", so obligation collapse merged their residuals and could drop a live violation. Identity is assigned at construction and the fields are unexported, so a thunk cannot be built without one. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(ltl): reduce a thrown-predicate residual instead of panicking The verifier substitutes an ErrorFormula for the residual of a property whose predicate threw, and that residual is fed back in on the next step. reduce had no case for it, so the run crashed. It re-reports the same failure now. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(ltl): make a bounded always the dual of a bounded eventually G<=n(f) and not F<=n(not f) disagreed on traces where the inner was still pending when the window closed, so nnf's negation normal form was not semantics preserving. Both sides now range over the observations at which their inner can definitely resolve: the eventually keeps a pending inner as a disjunct, and the always discharges vacuously at window close. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(ltl): arm a one-shot root once per run A root that carries its own horizon is one obligation for the whole run, not one per observation. Re-instantiating a top-level eventually monitored G F<=n(p) instead of F<=n(p) and left one live obligation per step behind; a bounded always restarted its window every step and never closed. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(verifier): stop wrapping a top-level eventually in always `eventually(p).within(300, "seconds")` as a property meant "within 300 seconds of every step", which spawned an obligation per step with its own resolved deadline. A 553-step run carried 553 of them and serialized a 75 KB residual. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(ltl): serialize the resolved deadline of a bounded window Two obligations spawned at different steps from one duration-bounded formula differ only in the deadline the evaluator resolved for them, so they serialized identically and the trace erased a distinction the evaluator makes. The authored window stays in amount/unit; the resolved deadline rides alongside. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(verifier): split a witness's origin step from its detection step A deferred obligation spans two steps: the one that armed it and the one whose reduction failed. They were conflated under one index, so the extractor snapshot (which is the detecting step's state) was reported against the origin step. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(runner): record a witness's detection step in the trace Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * feat(replay-ui): show the step a violation was detected at The witness evidence is the detecting step's state, so say which step that is and let a reader jump to it. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(verifier): record the extractor state the predicates actually read On the web path extractor bodies are evaluated in V8 and injected here, but only the goja value was replaced. The trace diff and the violation witness therefore described a state no property ever saw. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * refactor(spec): one candidate producer over one target-eligibility rule Both hosts routed verbs themselves and both policies enumerated their own actions, and all four drifted. Web sent `swipes` to scrollable containers only, so swipe-to-dismiss on a list row was reachable on native and unreachable on web; the model policy folded gestures its own way and could not reach what the seeded picker drew. A host now reports facts about every element and never decides which verb may act on it: targets.ts acceptsTarget owns that for both. pick.ts builtinCandidates is the single enumeration, and the model policy reads it through __sanderlingEnumerateBuiltin__ instead of reimplementing it in Go. Gesture verbs change with it: scrolls stay vertical over scrollable containers, swipes go free-form in all four directions from any element with real bounds. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(runner): name a builtin scroll by its drag origin A builtin gesture carries endpoints and no selector, so every scroll rendered as "Scroll down " in the prompt's recent-action memory and two scrollable regions were indistinguishable. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(chrome): clear storage over cdp instead of scripting an opaque origin Launch runs while the tab is still on about:blank, whose opaque origin denies storage access, so localStorage.clear() threw SecurityError and every web run died at launch. Storage.clearDataForOrigin needs no navigation. The exception helper lands here because "Uncaught" is what hid this for so long. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(chrome): enable the swiftshader webgl fallback Headless Chrome runs with --disable-gpu, and without this flag it refuses the software WebGL backend: getContext returns null, so a canvas-rendered app paints nothing and every screenshot is identical black. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * fix(web): resolve testTag through data-testid or id Compose Multiplatform emits its testTag into the element id, which the native table already accepts via the resource-id alias. The two web selector tables were the only place that rejected it. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * test(spec): type-check the spec api as part of make test The fake runtime in api.test.ts did not return a chainable handle from extract, so the file had not type-checked since named() was added. Wiring the check into make test stops it drifting again. Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J * docs(manual): one-shot eventually and the gesture verbs Claude-Session: https://claude.ai/code/session_01Fj4wJUikdABuMQEETwW55J
483 lines
16 KiB
Go
483 lines
16 KiB
Go
package runner
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import (
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"bytes"
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"context"
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"encoding/json"
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"errors"
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"image"
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"image/png"
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"io"
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"log/slog"
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"net/http"
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"net/http/httptest"
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"slices"
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"strconv"
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"strings"
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"testing"
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"github.com/priyanshujain/sanderling/internal/hierarchy"
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"github.com/priyanshujain/sanderling/internal/llmclient"
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"github.com/priyanshujain/sanderling/internal/verifier"
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)
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// llmInputCorpus mirrors pkg/spec/src/corpus.ts INPUT_CORPUS so an InputText
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// value drawn by the shared sampler can be asserted to come from the pool.
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var llmInputCorpus = []string{
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"", "a", strings.Repeat("a", 4096), "🙂🔥💸", " ", "\t\n", "-1",
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"999999999999999999999", "0.0000001", "1e10", "'; DROP TABLE--",
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"<script>alert(1)</script>", "../../etc/passwd", "%s%n", "NaN",
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}
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const llmFixtureSpec = `
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import { llm, always, taps, typing, weighted } from "@sanderling/spec";
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globalThis.properties = { ok: always(() => true) };
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globalThis.actions = weighted([1, taps], [1, typing]);
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globalThis.generator = llm({ model: "test/model" });
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`
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const llmTreeJSON = `{
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"attributes": {"bounds": "[0,0,400,800]"},
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"children": [
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{"attributes": {"resource-id": "Submit", "text": "Submit", "bounds": "[0,0,400,100]"}, "clickable": true, "enabled": true, "children": []},
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{"attributes": {"resource-id": "Name", "class": "EditText", "bounds": "[0,100,400,200]"}, "enabled": true, "children": []}
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]
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}`
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func TestActionForCandidatePassesNonTypingThrough(t *testing.T) {
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source := &llmSource{}
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candidate := verifier.ActionCandidate{
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Kind: verifier.ActionKindTap,
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Action: verifier.Action{Kind: verifier.ActionKindTap, On: "id:Submit", X: 10, Y: 20},
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}
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action, err := source.actionForCandidate(candidate, "ignored")
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if err != nil {
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t.Fatalf("actionForCandidate: %v", err)
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}
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if action.Kind != verifier.ActionKindTap || action.On != "id:Submit" || action.X != 10 || action.Y != 20 {
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t.Errorf("tap = %+v, want the candidate action verbatim", action)
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}
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if action.Text != "" {
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t.Errorf("non-typing action must not carry text, got %q", action.Text)
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}
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}
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func TestDescribeActionNamesGesturesByOrigin(t *testing.T) {
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builtin := verifier.Action{
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Kind: verifier.ActionKindScroll, Direction: "down",
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FromX: 200, FromY: 500, ToX: 200, ToY: 340,
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}
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if got := describeAction(builtin); got != "Scroll down (200,500)" {
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t.Errorf("builtin gesture described as %q, want the drag origin", got)
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}
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authored := verifier.Action{Kind: verifier.ActionKindScroll, Direction: "up", On: "id:List"}
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if got := describeAction(authored); got != "Scroll up id:List" {
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t.Errorf("authored scroll described as %q, want its selector", got)
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}
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}
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func TestActionForCandidateUsesModelText(t *testing.T) {
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source := &llmSource{}
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candidate := verifier.ActionCandidate{
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Kind: verifier.ActionKindInputText,
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LLMText: true,
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Action: verifier.Action{Kind: verifier.ActionKindInputText, On: "id:Name"},
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}
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action, err := source.actionForCandidate(candidate, "Priya")
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if err != nil {
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t.Fatalf("actionForCandidate: %v", err)
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}
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if action.Text != "Priya" {
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t.Errorf("text = %q, want the model-supplied value", action.Text)
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}
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}
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func TestActionForCandidateAuthoredTypingKeepsSampledValue(t *testing.T) {
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source := &llmSource{}
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candidate := verifier.ActionCandidate{
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Kind: verifier.ActionKindInputText,
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LLMText: false, // authored InputText: replay the spec's sampled value
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Action: verifier.Action{Kind: verifier.ActionKindInputText, On: "id:Amount", Text: "42"},
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}
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action, err := source.actionForCandidate(candidate, "ignored")
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if err != nil {
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t.Fatalf("actionForCandidate: %v", err)
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}
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if action.Text != "42" {
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t.Errorf("text = %q, want the authored value 42", action.Text)
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}
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}
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func TestActionForCandidateFallsBackToSampler(t *testing.T) {
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fake := newFakeOpenRouter(t)
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source, _ := newLLMSource(t, fake)
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candidate := verifier.ActionCandidate{
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Kind: verifier.ActionKindInputText,
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LLMText: true,
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Action: verifier.Action{Kind: verifier.ActionKindInputText, On: "id:Name"},
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}
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action, err := source.actionForCandidate(candidate, " ")
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if err != nil {
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t.Fatalf("actionForCandidate: %v", err)
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}
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if !slices.Contains(llmInputCorpus, action.Text) {
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t.Errorf("empty model text should fall back to the corpus, got %q", action.Text)
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}
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}
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func TestParseChoice(t *testing.T) {
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out, err := parseChoice(`{"reasoning":"go home","choice":3,"chosen_action":"Tap \"Home\"","text":""}`)
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if err != nil {
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t.Fatalf("parseChoice: %v", err)
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}
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if out.Reasoning != "go home" || out.Choice != 3 || out.ChosenAction != `Tap "Home"` {
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t.Errorf("parseChoice = %+v", out)
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}
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if _, err := parseChoice(""); err == nil {
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t.Error("expected error for empty content")
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}
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if _, err := parseChoice(`{"reasoning":"x","choice":0,"chosen_action":"","text":""}`); err == nil {
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t.Error("expected error for a zero choice")
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}
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if _, err := parseChoice(`not json`); err == nil {
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t.Error("expected error for malformed JSON")
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}
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}
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func TestSystemPromptAppendsInstructions(t *testing.T) {
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if got := (&llmSource{}).systemPrompt(); got != llmSystemPrompt {
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t.Error("empty instructions should yield the base prompt unchanged")
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}
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withInstr := (&llmSource{instructions: "hunt for double submits"}).systemPrompt()
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if !strings.Contains(withInstr, llmSystemPrompt) {
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t.Error("system prompt must retain the base framing")
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}
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if !strings.Contains(withInstr, "hunt for double submits") {
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t.Error("system prompt must include the spec instructions")
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}
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}
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// fakeOpenRouter is a configurable in-process OpenRouter server. Set ranked /
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// reasoning before each call; it echoes them as a json_schema content body.
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type fakeOpenRouter struct {
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server *httptest.Server
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choice int
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chosenAction string
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text string
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reasoning string
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lastRequest map[string]any
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}
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func newFakeOpenRouter(t *testing.T) *fakeOpenRouter {
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t.Helper()
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fake := &fakeOpenRouter{reasoning: "because"}
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fake.server = httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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body, _ := io.ReadAll(r.Body)
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_ = json.Unmarshal(body, &fake.lastRequest)
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content, _ := json.Marshal(map[string]any{
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"reasoning": fake.reasoning,
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"choice": fake.choice,
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"chosen_action": fake.chosenAction,
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"text": fake.text,
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})
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response, _ := json.Marshal(llmclient.Response{
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Choices: []llmclient.Choice{{Message: llmclient.ResponseMessage{Content: string(content)}}},
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})
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w.Header().Set("Content-Type", "application/json")
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_, _ = w.Write(response)
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}))
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t.Cleanup(fake.server.Close)
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return fake
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}
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func newLLMSource(t *testing.T, fake *fakeOpenRouter) (*llmSource, *verifier.Verifier) {
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t.Helper()
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t.Setenv("OPENROUTER_API_KEY", "test-key")
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t.Setenv("OPENROUTER_BASE_URL", fake.server.URL)
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client, err := llmclient.New()
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if err != nil {
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t.Fatalf("llmclient.New: %v", err)
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}
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verifierInstance, err := verifier.New()
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if err != nil {
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t.Fatal(err)
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}
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if err := verifierInstance.Load(bundleSpec(t, llmFixtureSpec)); err != nil {
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t.Fatal(err)
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}
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if _, ok := verifierInstance.LLMConfig(); !ok {
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t.Fatal("llm fixture spec did not register the llm action backend")
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}
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source := &llmSource{
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verifier: verifierInstance,
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client: client,
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model: "test/model",
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logger: slog.New(slog.NewTextHandler(io.Discard, nil)),
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history: newActionHistory(llmHistorySize),
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}
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return source, verifierInstance
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}
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func pushLLMSnapshot(t *testing.T, v *verifier.Verifier) {
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t.Helper()
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tree, err := hierarchy.Parse(llmTreeJSON)
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if err != nil {
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t.Fatal(err)
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}
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if err := v.PushSnapshot(verifier.SnapshotInput{Tree: tree, ScreenshotPNG: tinyPNG(t)}); err != nil {
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t.Fatalf("PushSnapshot: %v", err)
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}
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}
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func candidateByKind(t *testing.T, candidates []verifier.ActionCandidate, kind verifier.ActionKind) verifier.ActionCandidate {
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t.Helper()
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for _, candidate := range candidates {
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if candidate.Kind == kind {
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return candidate
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}
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}
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t.Fatalf("no candidate of kind %q in %v", kind, candidates)
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return verifier.ActionCandidate{}
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}
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func TestPickSourcesSelectsLLMWhenRequested(t *testing.T) {
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fake := newFakeOpenRouter(t)
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_, verifierInstance := newLLMSource(t, fake)
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action, _, err := pickSources(Options{
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Verifier: verifierInstance,
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Generator: "llm",
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Logger: slog.New(slog.NewTextHandler(io.Discard, nil)),
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})
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if err != nil {
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t.Fatalf("pickSources: %v", err)
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}
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if _, ok := action.(*llmSource); !ok {
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t.Errorf("action source = %T, want *llmSource for --generator llm", action)
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}
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}
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func TestPickSourcesSeededByDefault(t *testing.T) {
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fake := newFakeOpenRouter(t)
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_, verifierInstance := newLLMSource(t, fake)
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action, _, err := pickSources(Options{
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Verifier: verifierInstance,
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Generator: "seeded",
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Logger: slog.New(slog.NewTextHandler(io.Discard, nil)),
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})
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if err != nil {
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t.Fatalf("pickSources: %v", err)
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}
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// Even with a generator = llm() config present, the seeded flag wins.
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if _, ok := action.(gojaSource); !ok {
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t.Errorf("action source = %T, want gojaSource for --generator seeded", action)
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}
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}
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func TestLLMSourceDrivesExecutedActions(t *testing.T) {
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fake := newFakeOpenRouter(t)
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source, verifierInstance := newLLMSource(t, fake)
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pushLLMSnapshot(t, verifierInstance)
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candidates := verifierInstance.Candidates()
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// Step 1: the model picks the Tap on Submit by its number, echoing its
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// description.
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tap := candidateByKind(t, candidates, verifier.ActionKindTap)
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fake.choice = tap.Index
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fake.chosenAction = tap.Description
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fake.reasoning = "tap submit"
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fake.text = ""
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action, err := source.NextAction(context.Background())
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if err != nil {
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t.Fatalf("NextAction: %v", err)
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}
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if action.Kind != verifier.ActionKindTap || action.On != "id:Submit" {
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t.Errorf("step 1 action = %+v, want Tap on id:Submit", action)
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}
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if source.lastSource != "llm" || source.lastReasoning != "tap submit" {
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t.Errorf("source state = %q/%q, want llm/tap submit", source.lastSource, source.lastReasoning)
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}
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// The request carried the model and a screenshot image part.
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if fake.lastRequest["model"] != "test/model" {
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t.Errorf("request model = %v", fake.lastRequest["model"])
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}
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if !requestHasImage(fake.lastRequest) {
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t.Error("request carried no screenshot image part")
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}
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// Step 2: the model picks the typing candidate and supplies the value.
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pushLLMSnapshot(t, verifierInstance)
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typing := candidateByKind(t, candidates, verifier.ActionKindInputText)
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fake.choice = typing.Index
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fake.chosenAction = typing.Description
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fake.reasoning = "type a name"
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fake.text = "Priya"
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action, err = source.NextAction(context.Background())
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if err != nil {
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t.Fatalf("NextAction: %v", err)
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}
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if action.Kind != verifier.ActionKindInputText || action.On != "id:Name" {
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t.Errorf("step 2 action = %+v, want InputText on id:Name", action)
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}
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if action.Text != "Priya" {
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t.Errorf("InputText text = %q, want the model-supplied Priya", action.Text)
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}
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// The trace records source=llm, the reasoning, the choice, and the echo.
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traceAction := traceActionFor(action, nil)
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stampActionSource(traceAction, source)
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if traceAction.Source != "llm" || traceAction.LLMReasoning != "type a name" {
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t.Errorf("trace action = %+v, want source=llm reasoning=type a name", traceAction)
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}
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if traceAction.LLMChoice != typing.Index || traceAction.LLMChosenAction != typing.Description {
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t.Errorf("trace choice = %d/%q, want %d/%q", traceAction.LLMChoice, traceAction.LLMChosenAction, typing.Index, typing.Description)
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}
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}
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func TestLLMSourceSkipsOnOutOfRangeChoice(t *testing.T) {
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fake := newFakeOpenRouter(t)
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source, verifierInstance := newLLMSource(t, fake)
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pushLLMSnapshot(t, verifierInstance)
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fake.choice = 9999
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fake.chosenAction = "whatever"
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_, err := source.NextAction(context.Background())
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if !errors.Is(err, verifier.ErrNoAction) {
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t.Fatalf("NextAction err = %v, want ErrNoAction for an out-of-range choice", err)
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}
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if source.lastSource != "" {
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t.Errorf("lastSource = %q, want empty after a skipped step", source.lastSource)
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}
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}
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func TestLLMSourceAcceptsEchoWithWeightSuffix(t *testing.T) {
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// Real models copy the whole numbered line, including its trailing "(w34)"
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// weight annotation. That must still count as a match, not a strict skip.
|
|
fake := newFakeOpenRouter(t)
|
|
source, verifierInstance := newLLMSource(t, fake)
|
|
pushLLMSnapshot(t, verifierInstance)
|
|
candidates := verifierInstance.Candidates()
|
|
|
|
tap := candidateByKind(t, candidates, verifier.ActionKindTap)
|
|
fake.choice = tap.Index
|
|
fake.chosenAction = tap.Description + " (w" + strconv.Itoa(tap.Weight) + ")"
|
|
action, err := source.NextAction(context.Background())
|
|
if err != nil {
|
|
t.Fatalf("NextAction: %v", err)
|
|
}
|
|
if action.Kind != verifier.ActionKindTap {
|
|
t.Errorf("action = %+v, want Tap; the weight-suffixed echo was wrongly rejected", action)
|
|
}
|
|
if source.lastSource != "llm" {
|
|
t.Error("weight-suffixed echo should be accepted, not strict-skipped")
|
|
}
|
|
}
|
|
|
|
func TestStripWeightSuffix(t *testing.T) {
|
|
cases := map[string]string{
|
|
`Tap "+ Add account" (w34)`: `Tap "+ Add account"`,
|
|
`Tap "Sign in"`: `Tap "Sign in"`,
|
|
`Scroll down (w7)`: `Scroll down`,
|
|
` Tap "x" (w1) `: `Tap "x"`,
|
|
}
|
|
for in, want := range cases {
|
|
if got := stripWeightSuffix(in); got != want {
|
|
t.Errorf("stripWeightSuffix(%q) = %q, want %q", in, got, want)
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestLLMSourceStrictSkipsOnEchoMismatch(t *testing.T) {
|
|
fake := newFakeOpenRouter(t)
|
|
source, verifierInstance := newLLMSource(t, fake)
|
|
pushLLMSnapshot(t, verifierInstance)
|
|
candidates := verifierInstance.Candidates()
|
|
|
|
// A valid number, but the echoed action disagrees with that numbered entry:
|
|
// the model reasoned about one control and picked another's number.
|
|
tap := candidateByKind(t, candidates, verifier.ActionKindTap)
|
|
fake.choice = tap.Index
|
|
fake.chosenAction = "Tap \"Something Else\""
|
|
_, err := source.NextAction(context.Background())
|
|
if !errors.Is(err, verifier.ErrNoAction) {
|
|
t.Fatalf("NextAction err = %v, want ErrNoAction on chosen_action mismatch", err)
|
|
}
|
|
if source.lastSource != "" {
|
|
t.Errorf("lastSource = %q, want empty after a strict skip", source.lastSource)
|
|
}
|
|
}
|
|
|
|
func TestLLMSourceSkipsOnHTTPError(t *testing.T) {
|
|
fake := newFakeOpenRouter(t)
|
|
// Replace the handler with one that always errors.
|
|
fake.server.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
|
w.WriteHeader(http.StatusInternalServerError)
|
|
})
|
|
source, verifierInstance := newLLMSource(t, fake)
|
|
pushLLMSnapshot(t, verifierInstance)
|
|
|
|
fake.choice = 1
|
|
_, err := source.NextAction(context.Background())
|
|
if !errors.Is(err, verifier.ErrNoAction) {
|
|
t.Fatalf("NextAction err = %v, want ErrNoAction on HTTP failure", err)
|
|
}
|
|
}
|
|
|
|
func TestDownscalePNGShrinksLongEdge(t *testing.T) {
|
|
large := image.NewRGBA(image.Rect(0, 0, 2048, 1024))
|
|
var buffer bytes.Buffer
|
|
if err := png.Encode(&buffer, large); err != nil {
|
|
t.Fatal(err)
|
|
}
|
|
scaled := downscalePNG(buffer.Bytes(), 1024)
|
|
decoded, err := png.Decode(bytes.NewReader(scaled))
|
|
if err != nil {
|
|
t.Fatalf("decode scaled: %v", err)
|
|
}
|
|
if decoded.Bounds().Dx() != 1024 {
|
|
t.Errorf("scaled width = %d, want 1024", decoded.Bounds().Dx())
|
|
}
|
|
if decoded.Bounds().Dy() != 512 {
|
|
t.Errorf("scaled height = %d, want 512", decoded.Bounds().Dy())
|
|
}
|
|
}
|
|
|
|
func TestDownscalePNGKeepsSmallImage(t *testing.T) {
|
|
original := tinyPNG(t)
|
|
if got := downscalePNG(original, 1024); !bytes.Equal(got, original) {
|
|
t.Error("a sub-maxEdge image should be returned unchanged")
|
|
}
|
|
}
|
|
|
|
func requestHasImage(request map[string]any) bool {
|
|
messages, ok := request["messages"].([]any)
|
|
if !ok {
|
|
return false
|
|
}
|
|
for _, message := range messages {
|
|
parts, ok := message.(map[string]any)["content"].([]any)
|
|
if !ok {
|
|
continue
|
|
}
|
|
for _, part := range parts {
|
|
if part.(map[string]any)["type"] == "image_url" {
|
|
return true
|
|
}
|
|
}
|
|
}
|
|
return false
|
|
}
|
|
|
|
func tinyPNG(t *testing.T) []byte {
|
|
t.Helper()
|
|
img := image.NewRGBA(image.Rect(0, 0, 8, 8))
|
|
var buffer bytes.Buffer
|
|
if err := png.Encode(&buffer, img); err != nil {
|
|
t.Fatal(err)
|
|
}
|
|
return buffer.Bytes()
|
|
}
|