mirror of
https://github.com/infiniflow/ragflow.git
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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 |
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| 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
129 lines
4.5 KiB
Go
129 lines
4.5 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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package tool
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import (
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"context"
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"encoding/json"
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"errors"
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"fmt"
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"github.com/cloudwego/eino/components/tool"
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"github.com/cloudwego/eino/schema"
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)
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const wencaiToolName = "wencai"
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const wencaiToolDescription = "Query 同花顺 Wencai (问财) for natural-language stock screening " +
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"(e.g. \"近期涨停股\", \"高股息低估值\"). " +
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"STUB: Wencai has no public API; the Python implementation scrapes the " +
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"10jqka.com.cn web app. Not yet implemented in the Go Canvas. " +
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"Use the Python Canvas for Wencai queries."
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const wencaiUnsupportedMessage = "Wencai requires web scraping of 同花顺 — not yet implemented in Go Canvas. " +
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"Use Python Canvas."
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// wencaiParams is the JSON shape the model sends into InvokableRun.
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// The Python implementation accepts a free-form natural-language query
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// and an optional page/per-page limit. The Go stub preserves the shape
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// but rejects every invocation.
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type wencaiParams struct {
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Query string `json:"query"`
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Page int `json:"page,omitempty"`
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PerPage int `json:"per_page,omitempty"`
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}
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// wencaiEnvelope is the model-facing JSON shape. The stub always
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// returns a populated Error.
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type wencaiEnvelope struct {
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Items []any `json:"items,omitempty"`
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Error string `json:"_ERROR,omitempty"`
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}
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// WencaiTool is the Phase 3 batch 4 stub implementation of the
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// 同花顺 Wencai (问财) natural-language stock screening tool
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// (plan §2.11.4 row 19, §5 Phase 3 第 4 批).
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//
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// Wencai (https://www.iwencai.com) has no public API. The Python
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// implementation scrapes 10jqka.com.cn using session cookies and
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// reverse-engineered POST endpoints, which is fragile and legally
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// grey. A Go port would have to repeat the scraping work and the
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// reverse-engineering, and is deferred. For P3-B4 the tool is
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// registered so DSLs that reference "wencai" keep parsing, but every
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// invocation fails fast with a clear "use Python Canvas" message.
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//
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// WencaiTool does not own an HTTPHelper — it never makes network calls.
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type WencaiTool struct{}
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// NewWencaiTool returns a WencaiTool. No HTTPHelper is allocated; the
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// stub never issues network requests.
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func NewWencaiTool() *WencaiTool { return &WencaiTool{} }
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// Info returns the tool's metadata for the chat model.
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func (w *WencaiTool) Info(_ context.Context) (*schema.ToolInfo, error) {
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return &schema.ToolInfo{
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Name: wencaiToolName,
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Desc: wencaiToolDescription,
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ParamsOneOf: schema.NewParamsOneOfByParams(map[string]*schema.ParameterInfo{
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"query": {
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Type: schema.String,
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Desc: "Natural-language Wencai query (e.g. \"近期涨停股\", \"高股息低估值\").",
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Required: true,
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},
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"page": {
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Type: schema.Integer,
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Desc: "Optional 1-based page number. Defaults to 1.",
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Required: false,
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},
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"per_page": {
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Type: schema.Integer,
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Desc: "Optional results per page. Defaults to 20.",
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Required: false,
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},
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}),
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}, nil
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}
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// InvokableRun validates the input shape (query is required) and
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// returns a clear "use Python Canvas" error. The model receives a
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// JSON envelope with the message in the `_ERROR` field.
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func (w *WencaiTool) InvokableRun(_ context.Context, argsJSON string, _ ...tool.Option) (string, error) {
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var p wencaiParams
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if err := json.Unmarshal([]byte(argsJSON), &p); err != nil {
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return wencaiErrJSON(errors.New(wencaiUnsupportedMessage)),
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errors.New(wencaiUnsupportedMessage)
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}
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if p.Query == "" {
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return wencaiErrJSON(errors.New(wencaiUnsupportedMessage)),
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errors.New(wencaiUnsupportedMessage)
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}
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return wencaiErrJSON(errors.New(wencaiUnsupportedMessage)),
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errors.New(wencaiUnsupportedMessage)
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}
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func wencaiJSON(env wencaiEnvelope) string {
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b, err := json.Marshal(env)
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if err != nil {
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return fmt.Sprintf(`{"_ERROR":"wencai: marshal result: %s"}`, err)
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}
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return string(b)
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}
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func wencaiErrJSON(err error) string {
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return wencaiJSON(wencaiEnvelope{Error: err.Error()})
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}
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