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chore: import upstream snapshot with attribution
2026-07-13 12:16:49 +08:00

104 lines
3.6 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"
"ragflow/internal/agent/runtime"
)
// TestLLM_Invoke_ResolvesTemplateRefs: when a CanvasState is attached
// to ctx, {{cpn_id@var}} references in system/user prompts resolve to
// the state's value.
func TestLLM_Invoke_ResolvesTemplateRefs(t *testing.T) {
stub := &stubInvoker{resp: &ChatInvokeResponse{Content: "ok", Model: "echo"}}
withStubInvoker(t, stub)
state := runtime.NewCanvasState("rid", "tid")
state.SetVar("retrieval:0", "content", "retrieved text")
c := NewLLMComponent(LLMParam{
ModelID: "echo",
SystemPrompt: "Use the following context:",
UserPrompt: "What does {{retrieval:0@content}} say?",
})
ctx := runtime.WithState(context.Background(), state)
_, err := c.Invoke(ctx, map[string]any{})
if err != nil {
t.Fatalf("Invoke: %v", err)
}
if stub.captured == nil {
t.Fatal("invoker captured no request")
}
// User message should have {{retrieval:0@content}} replaced.
userMsg := stub.captured.Messages[len(stub.captured.Messages)-1]
if userMsg.Content != "What does retrieved text say?" {
t.Errorf("user msg content=%q, want resolved template", userMsg.Content)
}
}
// TestLLM_Invoke_NoState_LeavesPromptsUnchanged: when no state is
// attached (e.g. unit tests bypassing the canvas scheduler), the
// prompts pass through verbatim.
func TestLLM_Invoke_NoState_LeavesPromptsUnchanged(t *testing.T) {
stub := &stubInvoker{resp: &ChatInvokeResponse{Content: "ok", Model: "echo"}}
withStubInvoker(t, stub)
c := NewLLMComponent(LLMParam{
ModelID: "echo",
UserPrompt: "What does {{retrieval:0@content}} say?",
})
_, err := c.Invoke(context.Background(), map[string]any{})
if err != nil {
t.Fatalf("Invoke: %v", err)
}
userMsg := stub.captured.Messages[len(stub.captured.Messages)-1]
if userMsg.Content != "What does {{retrieval:0@content}} say?" {
t.Errorf("user msg content should be unchanged when no state; got %q", userMsg.Content)
}
}
// TestLLM_Invoke_UnresolvedRef_LeavesPromptIntact: when the state is
// attached but the ref is missing, the resolver logs and the original
// prompt is kept (replaces the ref with "").
func TestLLM_Invoke_UnresolvedRef_LeavesPromptIntact(t *testing.T) {
stub := &stubInvoker{resp: &ChatInvokeResponse{Content: "ok", Model: "echo"}}
withStubInvoker(t, stub)
// State without the ref — resolver should return "" and log.
state := runtime.NewCanvasState("rid", "tid")
state.SetVar("other:0", "content", "x")
c := NewLLMComponent(LLMParam{
ModelID: "echo",
UserPrompt: "Use {{retrieval:0@content}} please",
})
ctx := runtime.WithState(context.Background(), state)
_, err := c.Invoke(ctx, map[string]any{})
if err != nil {
t.Fatalf("Invoke should not error on unresolved ref: %v", err)
}
// ResolveTemplate replaces the unresolved ref with "" and returns
// the modified prompt.
userMsg := stub.captured.Messages[len(stub.captured.Messages)-1]
if userMsg.Content == "Use {{retrieval:0@content}} please" {
t.Errorf("unresolved ref should be replaced with empty; got unchanged prompt %q", userMsg.Content)
}
}