Files
ragflow/internal/agent/component/searxng.go
Hz_ d03b09b6a3 fix(go-agent): Align Go WenCai and SearXNG agent components with python (#16854)
## Summary

- Align Go WenCai and SearXNG behavior, schemas, and node parameters
with Python.
- Add the `WenCai` and `SearXNG` Canvas components and register their
tool factories.
- Match Python's current WenCai behavior by returning an empty report
while its upstream request is disabled.
- Add SearXNG request validation, SSRF-safe DNS pinning, raw result
preservation, and reference rendering.
- Support context cancellation, error envelopes, and lock-safe retrieval
references.

  ## Tests

  Passed:

  - `bash build.sh --test ./internal/agent/tool/...`
  - `bash build.sh --test ./internal/agent/component/...`
  - `bash build.sh --test ./internal/agent/runtime/...`
  - `bash build.sh --test ./internal/agent/...`
  - `cd web && npm run type-check`
  
  
<img width="1900" height="1102" alt="image"
src="https://github.com/user-attachments/assets/ec77d217-d9fd-455a-96ec-9aabf6841109"
/>
  
<img width="1900" height="1102" alt="image"
src="https://github.com/user-attachments/assets/52ac129f-cb65-453d-ae48-cc518803ac23"
/>
2026-07-13 16:50:17 +08:00

253 lines
7.0 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"
"crypto/sha1"
"encoding/json"
"fmt"
"regexp"
"strconv"
"strings"
einotool "github.com/cloudwego/eino/components/tool"
"ragflow/internal/agent/runtime"
agenttool "ragflow/internal/agent/tool"
"ragflow/internal/tokenizer"
)
const searxngPromptTokenLimit = 200000
var searxngDataImagePattern = regexp.MustCompile(`!?\[[a-z]+\]\(data:image/png;base64,[ 0-9A-Za-z/_=+\-]+\)`)
var searxngNewlinePattern = regexp.MustCompile(`\n+`)
type searxngInvoker interface {
InvokableRun(ctx context.Context, argsJSON string, opts ...einotool.Option) (string, error)
}
type searxngComponent struct {
inner searxngInvoker
}
func newSearXNGComponent(params map[string]any) (Component, error) {
toolParams := make(map[string]any, 2)
for _, key := range []string{"top_n", "searxng_url"} {
if value, ok := params[key]; ok {
toolParams[key] = value
}
}
inner, err := agenttool.BuildByName("searxng", toolParams)
if err != nil {
return nil, err
}
invoker, ok := inner.(searxngInvoker)
if !ok {
return nil, fmt.Errorf("SearXNG: tool does not implement InvokableRun")
}
return newSearXNGComponentWithInvoker(invoker), nil
}
func newSearXNGComponentWithInvoker(inner searxngInvoker) Component {
return &searxngComponent{inner: inner}
}
func (c *searxngComponent) Name() string { return "SearXNG" }
func (c *searxngComponent) Inputs() map[string]string {
return map[string]string{
"query": "The search keywords to execute with SearXNG.",
"searxng_url": "The base URL of the SearXNG instance.",
}
}
func (c *searxngComponent) Outputs() map[string]string {
return map[string]string{
"formalized_content": "Rendered SearXNG references for downstream LLM prompts.",
"json": "Raw SearXNG result list.",
}
}
func (c *searxngComponent) GetInputForm() map[string]any {
return map[string]any{
"query": map[string]any{
"name": "Query",
"type": "line",
},
"searxng_url": map[string]any{
"name": "SearXNG URL",
"type": "line",
"placeholder": "http://localhost:4000",
},
}
}
func (c *searxngComponent) Invoke(ctx context.Context, inputs map[string]any) (map[string]any, error) {
query := stringParam(inputs["query"])
if strings.TrimSpace(query) == "" {
return map[string]any{"formalized_content": "", "json": []any{}}, nil
}
args := map[string]any{"query": query}
if searxngURL, ok := inputs["searxng_url"].(string); ok {
args["searxng_url"] = searxngURL
}
argsJSON, err := json.Marshal(args)
if err != nil {
return nil, fmt.Errorf("canvas: SearXNG: encode inputs: %w", err)
}
out, invokeErr := c.inner.InvokableRun(ctx, string(argsJSON))
decoded := parseToolEnvelope(out)
results := anySlice(decoded["results"])
if message, _ := decoded["_ERROR"].(string); strings.TrimSpace(message) != "" {
return map[string]any{
"formalized_content": "",
"json": results,
"_ERROR": message,
}, nil
}
if invokeErr != nil {
return nil, fmt.Errorf("canvas: SearXNG: %w", invokeErr)
}
chunks, docAggs := buildSearXNGReferences(results)
if state, _, stateErr := runtime.GetStateFromContext[*runtime.CanvasState](ctx); stateErr == nil && state != nil {
state.SetRetrievalReferences(chunks, docAggs)
}
return map[string]any{
"formalized_content": renderSearXNGReferences(chunks, searxngPromptTokenLimit),
"json": results,
}, nil
}
func (c *searxngComponent) Stream(_ context.Context, _ map[string]any) (<-chan map[string]any, error) {
return nil, nil
}
func buildSearXNGReferences(results []any) ([]map[string]any, []map[string]any) {
chunks := make([]map[string]any, 0, len(results))
docAggs := make([]map[string]any, 0, len(results))
for _, result := range results {
item, ok := result.(map[string]any)
if !ok {
continue
}
content, _ := item["content"].(string)
if content == "" {
continue
}
content = searxngDataImagePattern.ReplaceAllString(content, "")
runes := []rune(content)
if len(runes) > 10000 {
content = string(runes[:10000])
}
if content == "" {
continue
}
documentID := strconv.Itoa(hashSearXNGString(content, 100000000))
displayID := strconv.Itoa(hashSearXNGString(documentID, 500))
title := searxngText(item["title"])
resultURL := searxngText(item["url"])
chunks = append(chunks, map[string]any{
"id": displayID,
"chunk_id": documentID,
"content": content,
"doc_id": documentID,
"docnm_kwd": title,
"document_id": documentID,
"document_name": title,
"dataset_id": nil,
"image_id": nil,
"positions": nil,
"url": resultURL,
"similarity": 1,
"vector_similarity": nil,
"term_similarity": nil,
"row_id": nil,
"doc_type": nil,
"document_metadata": nil,
})
docAggs = append(docAggs, map[string]any{
"doc_name": title,
"doc_id": documentID,
"count": 1,
"url": resultURL,
})
}
return chunks, docAggs
}
func renderSearXNGReferences(chunks []map[string]any, maxTokens int) string {
if len(chunks) == 0 {
return ""
}
usedTokens := 0
blocks := make([]string, 0, len(chunks))
for _, chunk := range chunks {
content := searxngText(chunk["content"])
if content == "" {
continue
}
usedTokens += tokenizer.NumTokensFromString(content)
var block strings.Builder
fmt.Fprintf(&block, "\nID: %s", searxngText(chunk["id"]))
if title := searxngPromptField(chunk["document_name"]); title != "" {
fmt.Fprintf(&block, "\n├── Title: %s", title)
}
if resultURL := searxngPromptField(chunk["url"]); resultURL != "" {
fmt.Fprintf(&block, "\n├── URL: %s", resultURL)
}
block.WriteString("\n└── Content:\n")
block.WriteString(content)
blocks = append(blocks, block.String())
if maxTokens > 0 && float64(maxTokens)*0.97 < float64(usedTokens) {
break
}
}
return strings.Join(blocks, "\n")
}
func searxngText(value any) string {
if value == nil {
return ""
}
if text, ok := value.(string); ok {
return text
}
return fmt.Sprint(value)
}
func searxngPromptField(value any) string {
return searxngNewlinePattern.ReplaceAllString(searxngText(value), " ")
}
func hashSearXNGString(value string, modulus int) int {
digest := sha1.Sum([]byte(value))
result := 0
for _, part := range digest {
result = (result*256 + int(part)) % modulus
}
return result
}
func init() {
Register("SearXNG", newSearXNGComponent)
}