mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-06-29 23:41:12 +08:00
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>
119 lines
3.8 KiB
Go
119 lines
3.8 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"
|
|
"strings"
|
|
"testing"
|
|
|
|
"github.com/cloudwego/eino/schema"
|
|
|
|
"ragflow/internal/agent/runtime"
|
|
)
|
|
|
|
// TestAddToolCallMemory_NoToolCalls: when msg has no ToolCalls, the
|
|
// function returns ("", nil) — caller skips appending to history.
|
|
func TestAddToolCallMemory_NoToolCalls(t *testing.T) {
|
|
stub := &stubInvoker{resp: &ChatInvokeResponse{Content: "ok", Model: "echo"}}
|
|
withStubInvoker(t, stub)
|
|
|
|
got, err := addToolCallMemory(context.Background(), AgentParam{ModelID: "echo"}, &schema.Message{Content: "no tools"})
|
|
if err != nil {
|
|
t.Fatalf("err: %v", err)
|
|
}
|
|
if got != "" {
|
|
t.Errorf("expected empty for no tool calls, got %q", got)
|
|
}
|
|
if stub.calls != 0 {
|
|
t.Errorf("expected 0 invoker calls (no LLM needed), got %d", stub.calls)
|
|
}
|
|
}
|
|
|
|
// TestAddToolCallMemory_SummarizesAndAppendsToState: end-to-end —
|
|
// stub returns a summary; Agent.Invoke appends it to state.History.
|
|
func TestAddToolCallMemory_SummarizesAndAppendsToState(t *testing.T) {
|
|
stub := &stubInvoker{resp: &ChatInvokeResponse{
|
|
Content: "the assistant searched docs and found 3 results",
|
|
Model: "echo",
|
|
}}
|
|
withStubInvoker(t, stub)
|
|
|
|
withAgentRunner(t, func(_ context.Context, _ AgentParam) (*schema.Message, error) {
|
|
// Final message with one tool call.
|
|
return &schema.Message{
|
|
Role: schema.Assistant,
|
|
ToolCalls: []schema.ToolCall{{
|
|
ID: "1", Type: "function",
|
|
Function: schema.FunctionCall{
|
|
Name: "search",
|
|
Arguments: `{"q":"what is X"}`,
|
|
},
|
|
}},
|
|
}, nil
|
|
})
|
|
|
|
state := runtime.NewCanvasState("rid", "tid")
|
|
c := NewAgentComponent(AgentParam{ModelID: "echo", MaxRounds: 1})
|
|
ctx := runtime.WithState(context.Background(), state)
|
|
_, err := c.Invoke(ctx, map[string]any{"user_prompt": "do it"})
|
|
if err != nil {
|
|
t.Fatalf("Invoke: %v", err)
|
|
}
|
|
if stub.calls != 1 {
|
|
t.Errorf("expected 1 LLM call (the memory summary), got %d", stub.calls)
|
|
}
|
|
if len(state.History) != 1 {
|
|
t.Fatalf("expected 1 history entry, got %d: %+v", len(state.History), state.History)
|
|
}
|
|
h := state.History[0]
|
|
if h["role"] != "assistant" {
|
|
t.Errorf("history role=%v, want assistant", h["role"])
|
|
}
|
|
if !strings.Contains(h["content"].(string), "searched docs") {
|
|
t.Errorf("history content missing summary: %q", h["content"])
|
|
}
|
|
}
|
|
|
|
// TestAddToolCallMemory_LLMFailure: when the summary LLM fails, the
|
|
// history is NOT appended (graceful degradation).
|
|
func TestAddToolCallMemory_LLMFailure(t *testing.T) {
|
|
stub := &stubInvoker{err: context.DeadlineExceeded}
|
|
withStubInvoker(t, stub)
|
|
|
|
withAgentRunner(t, func(_ context.Context, _ AgentParam) (*schema.Message, error) {
|
|
return &schema.Message{
|
|
Role: schema.Assistant,
|
|
ToolCalls: []schema.ToolCall{{
|
|
ID: "1", Type: "function",
|
|
Function: schema.FunctionCall{Name: "search"},
|
|
}},
|
|
}, nil
|
|
})
|
|
|
|
state := runtime.NewCanvasState("rid", "tid")
|
|
c := NewAgentComponent(AgentParam{ModelID: "echo", MaxRounds: 1})
|
|
ctx := runtime.WithState(context.Background(), state)
|
|
_, err := c.Invoke(ctx, map[string]any{"user_prompt": "do it"})
|
|
if err != nil {
|
|
t.Fatalf("Invoke should not error when memory summary fails: %v", err)
|
|
}
|
|
if len(state.History) != 0 {
|
|
t.Errorf("expected no history entry on summary failure, got %d", len(state.History))
|
|
}
|
|
}
|