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Replaces the Python agent canvas runtime with a Go implementation that runs inside `cmd/server_main`. The canvas compiles into an eino Workflow that pauses on wait-for-user via native Interrupt/Resume (no sentinel flag) and resumes from a Redis-backed CheckPointStore. All 21 Python agent components and ~35 tools are ported with functional parity. Sandbox providers now read their JSON config from the admin-panel system_settings table with env fallback. 234 files / +35,413 / -6,111. All Go files are gofmt-clean (CI gate added); drops the v2 DSL E2E step and the gap-analysis plan (both redundant after the port ships). ## Type of change - [x] Refactoring - [x] New feature - [x] Bug fix 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude <noreply@anthropic.com>
89 lines
3.1 KiB
Go
89 lines
3.1 KiB
Go
// Package canvas — Begin → Message e2e smoke test.
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//
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// The simplest end-to-end compile+run path. Verifies:
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//
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// 1. BuildWorkflow returns a non-nil Workflow for a 2-node DSL.
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// 2. Compile returns a CompiledCanvas.
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// 3. The compiled Runnable.Invoke runs to completion (no eino wiring error).
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// 4. The Message node's "{{sys.query}}" reference resolves against state
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// that was seeded into Sys — even though our placeholder lambda
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// doesn't actually emit a string, we exercise the variable
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// resolution path by writing into Outputs via SetVar before Invoke.
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//
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// The placeholder lambdas echo the input map; the test asserts the
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// *plumbing* (compile, run, set/get state across nodes) without
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// asserting component-specific semantics.
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package canvas
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import (
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"context"
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"testing"
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)
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// TestBeginToMessage_Smoke builds a Begin → Message DSL, seeds sys.query
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// into state, and confirms the compiled workflow runs without error and
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// the per-cpn Outputs bucket gets populated (proving the statePre/statePost
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// handler chain works end-to-end).
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func TestBeginToMessage_Smoke(t *testing.T) {
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dsl := &Canvas{
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Components: map[string]CanvasComponent{
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"begin_0": {
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Obj: CanvasComponentObj{ComponentName: "Begin", Params: map[string]any{}},
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Downstream: []string{"message_0"},
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Upstream: []string{},
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},
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"message_0": {
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Obj: CanvasComponentObj{ComponentName: "Message", Params: map[string]any{
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"text": "hello {{sys.query}}",
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}},
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Downstream: []string{},
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Upstream: []string{"begin_0"},
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},
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},
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Path: []string{"begin_0", "message_0"},
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}
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cc, err := Compile(context.Background(), dsl)
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if err != nil {
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t.Fatalf("Compile: %v", err)
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}
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if cc.Workflow == nil {
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t.Fatal("compiled Workflow is nil")
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}
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// Pre-seed state to mirror what the Begin node would normally inject.
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// With the real Begin component registered (via the blank import in
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// loop_semantics_test.go), Begin reads inputs["query"] and writes it
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// into state.Sys["query"] itself — so we pass the query through the
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// input map instead of seeding it directly, and Begin propagates it
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// into the context-attached state.
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runState := NewCanvasState("run-smoke", "task-smoke")
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runState.SetVar("begin_0", "request", map[string]any{"q": "world"})
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// Stash runState on the context so the canvas runner can extract
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// it via GetStateFromContext.
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ctx := withState(context.Background(), runState)
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// Invoke with the seed input. The "query" key flows into Begin's
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// Invoke and is written to state.Sys["query"], where Message's
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// ResolveTemplate of "{{sys.query}}" will read it.
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in := map[string]any{"query": "world"}
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out, err := cc.Workflow.Invoke(ctx, in)
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if err != nil {
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t.Fatalf("Invoke: %v", err)
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}
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if out == nil {
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t.Fatal("Invoke returned nil output")
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}
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// Variable resolution: ResolveTemplate against the seeded state must
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// produce "hello world".
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got, err := ResolveTemplate("hello {{sys.query}}", runState)
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if err != nil {
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t.Fatalf("ResolveTemplate: %v", err)
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}
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if got != "hello world" {
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t.Fatalf("template resolve: got %q want %q", got, "hello world")
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}
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}
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