Files
ragflow/internal/agent/tool/wencai.go
Zhichang Yu 3fa15c0e2f feat(agent): Go port — canvas engine, 22 components, DSL v2, 13 endpoints (#15952)
Ports the agent canvas subsystem from Python to Go.

## What's included

### Canvas Engine (Phase 0/1)
- State engine, scheduler, variable resolver, Redis checkpoint store,
cancel protocol
- **209 tests** across canvas / component / io packages

### 22 Components (P0–P4)
| Tier | Components |
|---|---|
| P0 T1+T2+T3 | LLM, Agent, ExitLoop, Switch, Categorize, Begin,
Message, Invoke |
| P1 T3 | VariableAggregator, VariableAssigner, StringTransform,
ListOperations, DataOperations |
| P2 T3 | Iteration, IterationItem, Loop, LoopItem |
| P3 T3 | UserFillUp, Fillup |
| P4 T5 | Browser, ExcelProcessor, DocsGenerator |

### DSL v2 Schema (Phase 2.5)
- Typed v2 in-memory model with v1-to-v2 auto-detect converter
- v1 legacy field stripping per plan §2.11.7

### HTTP Endpoints & Bug Fixes (Plans PR1–PR3)
- **DELETE SQL bug fix**: gorm v2 `Where("id = ?", id).Delete(...)`
pattern
- **CreateAgent validation**: title/DSL required, duplicate check, 103
envelope
- **13 new endpoints**: templates, prompts, tags, sessions CRUD,
chat/completions (SSE + non-stream stubs), rerun, test_db_connection,
logs, webhook/logs
- **756 Go unit tests** (745 → 756, +18)
- **17 → 0 Python integration test failures** (test_agents.py +
test_session_management/)

### Tools
21 eino tools: HTTPHelper, search tools, financial/data tools, mandatory
stubs

### Infrastructure
OTel observability, NATS message queue, DeepDoc gRPC client, SSRF
guards, IDOR mitigation
2026-06-12 22:58:28 +08:00

129 lines
4.5 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 tool
import (
"context"
"encoding/json"
"errors"
"fmt"
"github.com/cloudwego/eino/components/tool"
"github.com/cloudwego/eino/schema"
)
const wencaiToolName = "wencai"
const wencaiToolDescription = "Query 同花顺 Wencai (问财) for natural-language stock screening " +
"(e.g. \"近期涨停股\", \"高股息低估值\"). " +
"STUB: Wencai has no public API; the Python implementation scrapes the " +
"10jqka.com.cn web app. Not yet implemented in the Go Canvas. " +
"Use the Python Canvas for Wencai queries."
const wencaiUnsupportedMessage = "Wencai requires web scraping of 同花顺 — not yet implemented in Go Canvas. " +
"Use Python Canvas."
// wencaiParams is the JSON shape the model sends into InvokableRun.
// The Python implementation accepts a free-form natural-language query
// and an optional page/per-page limit. The Go stub preserves the shape
// but rejects every invocation.
type wencaiParams struct {
Query string `json:"query"`
Page int `json:"page,omitempty"`
PerPage int `json:"per_page,omitempty"`
}
// wencaiEnvelope is the model-facing JSON shape. The stub always
// returns a populated Error.
type wencaiEnvelope struct {
Items []any `json:"items,omitempty"`
Error string `json:"_ERROR,omitempty"`
}
// WencaiTool is the Phase 3 batch 4 stub implementation of the
// 同花顺 Wencai (问财) natural-language stock screening tool
// (plan §2.11.4 row 19, §5 Phase 3 第 4 批).
//
// Wencai (https://www.iwencai.com) has no public API. The Python
// implementation scrapes 10jqka.com.cn using session cookies and
// reverse-engineered POST endpoints, which is fragile and legally
// grey. A Go port would have to repeat the scraping work and the
// reverse-engineering, and is deferred. For P3-B4 the tool is
// registered so DSLs that reference "wencai" keep parsing, but every
// invocation fails fast with a clear "use Python Canvas" message.
//
// WencaiTool does not own an HTTPHelper — it never makes network calls.
type WencaiTool struct{}
// NewWencaiTool returns a WencaiTool. No HTTPHelper is allocated; the
// stub never issues network requests.
func NewWencaiTool() *WencaiTool { return &WencaiTool{} }
// Info returns the tool's metadata for the chat model.
func (w *WencaiTool) Info(_ context.Context) (*schema.ToolInfo, error) {
return &schema.ToolInfo{
Name: wencaiToolName,
Desc: wencaiToolDescription,
ParamsOneOf: schema.NewParamsOneOfByParams(map[string]*schema.ParameterInfo{
"query": {
Type: schema.String,
Desc: "Natural-language Wencai query (e.g. \"近期涨停股\", \"高股息低估值\").",
Required: true,
},
"page": {
Type: schema.Integer,
Desc: "Optional 1-based page number. Defaults to 1.",
Required: false,
},
"per_page": {
Type: schema.Integer,
Desc: "Optional results per page. Defaults to 20.",
Required: false,
},
}),
}, nil
}
// InvokableRun validates the input shape (query is required) and
// returns a clear "use Python Canvas" error. The model receives a
// JSON envelope with the message in the `_ERROR` field.
func (w *WencaiTool) InvokableRun(_ context.Context, argsJSON string, _ ...tool.Option) (string, error) {
var p wencaiParams
if err := json.Unmarshal([]byte(argsJSON), &p); err != nil {
return wencaiErrJSON(errors.New(wencaiUnsupportedMessage)),
errors.New(wencaiUnsupportedMessage)
}
if p.Query == "" {
return wencaiErrJSON(errors.New(wencaiUnsupportedMessage)),
errors.New(wencaiUnsupportedMessage)
}
return wencaiErrJSON(errors.New(wencaiUnsupportedMessage)),
errors.New(wencaiUnsupportedMessage)
}
func wencaiJSON(env wencaiEnvelope) string {
b, err := json.Marshal(env)
if err != nil {
return fmt.Sprintf(`{"_ERROR":"wencai: marshal result: %s"}`, err)
}
return string(b)
}
func wencaiErrJSON(err error) string {
return wencaiJSON(wencaiEnvelope{Error: err.Error()})
}