mirror of
https://github.com/priyanshujain/sanderling.git
synced 2026-10-02 19:17:10 +00:00
431 lines
14 KiB
Go
431 lines
14 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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"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 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 TestLLMSourceStrictSkipsOnEchoMismatch(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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// A valid number, but the echoed action disagrees with that numbered entry:
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// the model reasoned about one control and picked another's number.
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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 \"Something Else\""
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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 on chosen_action mismatch", err)
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}
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if source.lastSource != "" {
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t.Errorf("lastSource = %q, want empty after a strict skip", source.lastSource)
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}
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}
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func TestLLMSourceSkipsOnHTTPError(t *testing.T) {
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fake := newFakeOpenRouter(t)
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// Replace the handler with one that always errors.
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fake.server.Config.Handler = http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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w.WriteHeader(http.StatusInternalServerError)
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})
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source, verifierInstance := newLLMSource(t, fake)
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pushLLMSnapshot(t, verifierInstance)
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fake.choice = 1
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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 on HTTP failure", err)
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}
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}
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func TestDownscalePNGShrinksLongEdge(t *testing.T) {
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large := image.NewRGBA(image.Rect(0, 0, 2048, 1024))
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var buffer bytes.Buffer
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if err := png.Encode(&buffer, large); err != nil {
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t.Fatal(err)
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}
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scaled := downscalePNG(buffer.Bytes(), 1024)
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decoded, err := png.Decode(bytes.NewReader(scaled))
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if err != nil {
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t.Fatalf("decode scaled: %v", err)
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}
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if decoded.Bounds().Dx() != 1024 {
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t.Errorf("scaled width = %d, want 1024", decoded.Bounds().Dx())
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}
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if decoded.Bounds().Dy() != 512 {
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t.Errorf("scaled height = %d, want 512", decoded.Bounds().Dy())
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}
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}
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func TestDownscalePNGKeepsSmallImage(t *testing.T) {
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original := tinyPNG(t)
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if got := downscalePNG(original, 1024); !bytes.Equal(got, original) {
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t.Error("a sub-maxEdge image should be returned unchanged")
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}
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}
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func requestHasImage(request map[string]any) bool {
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messages, ok := request["messages"].([]any)
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if !ok {
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return false
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}
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for _, message := range messages {
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parts, ok := message.(map[string]any)["content"].([]any)
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if !ok {
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continue
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}
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for _, part := range parts {
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if part.(map[string]any)["type"] == "image_url" {
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return true
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}
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}
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}
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return false
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}
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func tinyPNG(t *testing.T) []byte {
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t.Helper()
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img := image.NewRGBA(image.Rect(0, 0, 8, 8))
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var buffer bytes.Buffer
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if err := png.Encode(&buffer, img); err != nil {
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t.Fatal(err)
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}
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return buffer.Bytes()
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}
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