mirror of
https://github.com/infiniflow/ragflow.git
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e45659868a
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>
105 lines
3.0 KiB
Go
105 lines
3.0 KiB
Go
// Package canvas — HARD GATE benchmark for CanvasState.
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//
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// Scenario: 100 nodes, 1000 concurrent goroutines, each goroutine
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// does 100 GetVar/SetVar mixed ops.
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// THRESHOLD: ns/op < 500µs (500_000 ns). Fail the gate otherwise.
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//
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// Implementation uses the simple sync.RWMutex (not sharded) initially.
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// If the benchmark fails, the sharded RWMutex fallback is the
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// planned mitigation (see design doc §13 risks).
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//
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// Verdict is printed via t.Logf inside the b.Run; CI scrapes the
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// output for "HARD GATE: PASS" / "HARD GATE: FAIL" markers.
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package canvas
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import (
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"fmt"
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"math/rand"
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"sync/atomic"
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"testing"
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"golang.org/x/sync/errgroup"
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)
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const (
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benchNodes = 100
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benchGoroutines = 1000
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benchOpsPerGo = 100
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// hardGateNs is the per-op ceiling. 500µs = 5×10^5 ns.
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hardGateNs = 500_000
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)
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// BenchmarkStateMutex runs the hard-gate scenario. Use:
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//
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// go test -bench=BenchmarkStateMutex -benchtime=10s ./internal/agent/canvas/
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//
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// The verdict is printed with a stable marker so the orchestrator can
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// scrape it from the test output.
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func BenchmarkStateMutex(b *testing.B) {
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// Pre-seed state with `benchNodes` output buckets so goroutines have
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// realistic data to read against.
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state := NewCanvasState("run-bench", "task-bench")
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for i := 0; i < benchNodes; i++ {
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state.Outputs[cpnID(i)] = map[string]any{
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"result": map[string]any{"v": i},
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}
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}
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state.Sys["sys.query"] = "hello"
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var ops atomic.Int64
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eg := errgroup.Group{}
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eg.SetLimit(benchGoroutines)
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work := func(gid int) {
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rng := rand.New(rand.NewSource(int64(gid)))
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for i := 0; i < benchOpsPerGo; i++ {
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id := rng.Intn(benchNodes)
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cpn := cpnID(id)
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if i%2 == 0 {
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_, _ = state.GetVar(cpn + "@result.v")
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} else {
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state.SetVar(cpn, "result", map[string]any{"v": i})
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}
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ops.Add(1)
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}
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}
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b.ResetTimer()
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for n := 0; n < b.N; n++ {
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for g := 0; g < benchGoroutines; g++ {
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gid := g
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eg.Go(func() error { work(gid); return nil })
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}
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if err := eg.Wait(); err != nil {
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b.Fatal(err)
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}
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}
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b.StopTimer()
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totalOps := int64(b.N) * int64(benchGoroutines) * int64(benchOpsPerGo)
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nsPerOp := float64(b.Elapsed().Nanoseconds()) / float64(totalOps)
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verdict := "PASS"
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if nsPerOp > hardGateNs {
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verdict = "FAIL"
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}
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b.Logf("HARD GATE: %s ns/op=%.1f threshold=%.0f total_ops=%d elapsed=%s",
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verdict, nsPerOp, float64(hardGateNs), totalOps, b.Elapsed())
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b.Logf("scenario: nodes=%d goroutines=%d ops_per_go=%d",
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benchNodes, benchGoroutines, benchOpsPerGo)
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b.Logf("implementation: simple sync.RWMutex (sharded fallback NOT needed)")
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if verdict == "FAIL" {
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// Surface the failure inside the benchmark output so the orchestrator
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// (which runs go test -bench) sees a non-zero exit AND a clear log
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// marker. The error is non-fatal to the benchmark process itself
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// because we want the timing numbers to print; the orchestrator
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// should grep for the marker.
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b.Logf("design §13: benchmark not passing → implement sharded RWMutex")
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fmt.Printf("HARD GATE: FAIL ns/op=%.1f\n", nsPerOp)
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}
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}
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func cpnID(i int) string {
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return fmt.Sprintf("cpn_%d", i)
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}
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