mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-06-29 23:41:12 +08:00
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>
84 lines
2.9 KiB
Go
84 lines
2.9 KiB
Go
//
|
|
// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
//
|
|
|
|
package component
|
|
|
|
import (
|
|
"context"
|
|
"testing"
|
|
"time"
|
|
)
|
|
|
|
// TestLLM_Stream_ExposesThinkingAndContentForDownstreamMessage is a
|
|
// regression guard for the Downstream Message detect path.
|
|
//
|
|
// Python's `_invoke_async` returns a `functools.partial` callable
|
|
// when it detects a Message component downstream, deferring
|
|
// streaming evaluation until the consumer actually pulls from
|
|
// the channel. The Go port exposes the streaming surface via the
|
|
// goroutine + channel + select pattern; this test pins the
|
|
// contract that any LLM `Stream()` consumer (Message component
|
|
// or otherwise) can rely on:
|
|
//
|
|
// 1. The stream emits a chunk with key "content" and key "thinking".
|
|
// 2. The stream eventually closes (no leaked goroutines).
|
|
// 3. The consumer can read at its own pace — backpressure is bounded
|
|
// by the 16-element channel buffer.
|
|
//
|
|
// The actual "detect Message downstream" decision is a canvas-scheduler
|
|
// concern (it would look at the DAG children of an LLM node). That
|
|
// introspection lives in `internal/agent/canvas/` rather than this
|
|
// component package. For v1, every LLM Stream() is the same shape
|
|
// regardless of downstream topology.
|
|
func TestLLM_Stream_ExposesThinkingAndContentForDownstreamMessage(t *testing.T) {
|
|
stub := &stubInvoker{resp: &ChatInvokeResponse{Content: "streamed answer", Model: "echo"}}
|
|
withStubInvoker(t, stub)
|
|
|
|
c := NewLLMComponent(LLMParam{ModelID: "echo"})
|
|
ch, err := c.Stream(context.Background(), map[string]any{"user_prompt": "go"})
|
|
if err != nil {
|
|
t.Fatalf("Stream: %v", err)
|
|
}
|
|
|
|
// Simulate a slow downstream consumer (the Message component
|
|
// template-rendering path) that reads one chunk at a time.
|
|
got := []map[string]any{}
|
|
deadline := time.After(2 * time.Second)
|
|
for {
|
|
select {
|
|
case chunk, open := <-ch:
|
|
if !open {
|
|
if len(got) != 2 {
|
|
t.Fatalf("expected 2 chunks (content + done), got %d: %+v", len(got), got)
|
|
}
|
|
if got[0]["content"] != "streamed answer" {
|
|
t.Errorf("content=%v, want 'streamed answer'", got[0]["content"])
|
|
}
|
|
if got[0]["thinking"] != "" {
|
|
t.Errorf("thinking=%v, want empty (no think chain in v1)", got[0]["thinking"])
|
|
}
|
|
if got[1]["done"] != true {
|
|
t.Errorf("done=%v, want true", got[1]["done"])
|
|
}
|
|
return
|
|
}
|
|
got = append(got, chunk)
|
|
case <-deadline:
|
|
t.Fatal("Stream did not close within 2s")
|
|
}
|
|
}
|
|
}
|