mirror of
https://github.com/infiniflow/ragflow.git
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## Summary
This PR consolidates Eino-backed Agent tools behind the shared
ToolBackedComponent implementation and aligns their Canvas
configuration,
runtime inputs, output conversion, validation, and registration.
## What changed
- Migrated these Canvas components to the unified tool-backed path:
- Tavily Search and Extract
- Execute SQL
- Google
- Yahoo Finance
- Email
- DuckDuckGo
- Wikipedia
- Google Scholar
- ArXiv
- PubMed
- BGPT
- GitHub
- WenCai
- SearXNG
- Keenable Search
- Removed superseded component wrappers and their duplicate tests.
- Added dedicated registry builders for node-level configuration and
validation.
- Kept model-emitted runtime inputs separate from Canvas node
configuration.
- Moved Email defaults, template resolution, recipient parsing, SMTP
execution, and output conversion into the owning tool.
- Added complete ToolComponent specifications for Canvas inputs,
outputs, and input forms.
- Preserved raw upstream fields where downstream workflows may depend on
them.
- Added workflow registration coverage for all migrated component names.
- Kept HTTP Request, Docs Generator, and Browser as standalone
components because they are not Eino-backed tools.
## Testing
Passed:
bash build.sh --test ./internal/agent/tool/...
bash build.sh --test ./internal/agent/component/...
bash build.sh --test ./internal/agent/runtime/...
<img width="2057" height="1111" alt="image"
src="https://github.com/user-attachments/assets/c728d7a3-9d15-4c5c-b0eb-6b77ad0e41ac"
/>
<img width="2057" height="1111" alt="image"
src="https://github.com/user-attachments/assets/ef13119a-ef92-4b43-9061-eee9511bf492"
/>
<img width="2057" height="1111" alt="image"
src="https://github.com/user-attachments/assets/f50f2c30-eab0-463c-b0b3-0a02523219f1"
/>
337 lines
10 KiB
Go
337 lines
10 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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"crypto/sha1"
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"encoding/json"
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"fmt"
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"math/big"
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"net/http"
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"regexp"
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"strconv"
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"strings"
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"time"
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"unicode/utf8"
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"github.com/cloudwego/eino/components/tool"
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"github.com/cloudwego/eino/schema"
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"ragflow/internal/tokenizer"
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)
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const bgptToolName = "bgpt_search"
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const bgptToolDescription = "Search scientific papers via BGPT (bgpt.pro) and return structured evidence " +
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"extracted from full-text studies: methods, sample sizes, results, limitations, conflicts of interest, " +
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"data/code availability, study blind spots, quality scores, and falsification prompts."
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// bgptEndpoint is the BGPT search URL. Exposed as a package var for tests.
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var bgptEndpoint = "https://bgpt.pro/api/mcp-search"
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const bgptPromptMaxTokens = 200000
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var bgptDataImagePattern = regexp.MustCompile(`!?\[[a-z]+\]\(data:image/png;base64,[ 0-9A-Za-z/_=+\-]+\)`)
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var bgptNewlinePattern = regexp.MustCompile(`\n+`)
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// bgptParams holds the Canvas node configuration and the model-emitted
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// runtime input. Info exposes only query; api_key / top_n / days_back
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// come from canvas DSL params and live in BGPTTool.defaults.
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type bgptParams struct {
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Query string `json:"query"`
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TopN int `json:"top_n"`
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APIKey string `json:"api_key,omitempty"`
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DaysBack int `json:"days_back,omitempty"`
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}
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// bgptEnv is what the model sees.
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type bgptEnv struct {
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Results []map[string]any `json:"results"`
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Error string `json:"_ERROR,omitempty"`
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}
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// bgptResponse is the upstream BGPT API envelope.
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type bgptResponse struct {
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Results []map[string]interface{} `json:"results"`
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Error string `json:"error,omitempty"`
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}
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// BGPTTool searches scientific papers via bgpt.pro.
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type BGPTTool struct {
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helper *HTTPHelper
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defaults bgptParams
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}
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var _ ToolComponent = (*BGPTTool)(nil)
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var _ ReferenceBuilder = (*BGPTTool)(nil)
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// NewBGPTTool returns a BGPTTool using the default HTTPHelper.
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func NewBGPTTool() *BGPTTool {
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return newBGPTTool(nil, bgptParams{})
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}
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// NewBGPTToolWith returns a BGPTTool with the given helper.
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func NewBGPTToolWith(h *HTTPHelper) *BGPTTool {
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return newBGPTTool(h, bgptParams{})
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}
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func newBGPTTool(h *HTTPHelper, defaults bgptParams) *BGPTTool {
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if h == nil {
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h = NewHTTPHelperWithRetry(RetryConfig{MaxAttempts: 1})
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h.client.Timeout = 25 * time.Second
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}
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if defaults.TopN == 0 {
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defaults.TopN = 10
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}
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return &BGPTTool{helper: h, defaults: defaults}
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}
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// Info returns the tool's metadata for the chat model.
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func (b *BGPTTool) Info(_ context.Context) (*schema.ToolInfo, error) {
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return &schema.ToolInfo{
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Name: bgptToolName,
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Desc: bgptToolDescription,
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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 scientific search query.",
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Required: true,
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},
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}),
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}, nil
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}
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func (b *BGPTTool) ComponentSpec() ComponentSpec {
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return ComponentSpec{
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Inputs: map[string]string{
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"query": "Scientific search query.",
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"api_key": "Optional BGPT API key.",
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"days_back": "Optional recency filter in days.",
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"top_n": "Maximum number of results.",
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},
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Outputs: map[string]string{
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"formalized_content": "Rendered scientific paper references for downstream prompts.",
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"json": "Raw BGPT result list.",
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},
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InputForm: map[string]any{
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"query": map[string]any{"name": "Query", "type": "line"},
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},
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}
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}
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// InvokableRun performs the BGPT search.
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func (b *BGPTTool) InvokableRun(ctx context.Context, argsJSON string, _ ...tool.Option) (string, error) {
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var p bgptParams
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if err := json.Unmarshal([]byte(argsJSON), &p); err != nil {
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return bgptErrJSON(fmt.Errorf("bgpt: parse arguments: %w", err)),
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fmt.Errorf("bgpt: parse arguments: %w", err)
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}
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if strings.TrimSpace(p.Query) == "" {
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return bgptJSON(bgptEnv{Results: []map[string]any{}}), nil
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}
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p = mergeBGPTParams(b.defaults, p)
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if p.TopN <= 0 {
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p.TopN = 10
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}
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reqBody := map[string]interface{}{
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"query": strings.TrimSpace(p.Query),
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"num_results": p.TopN,
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}
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if p.APIKey != "" {
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reqBody["api_key"] = p.APIKey
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}
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if p.DaysBack > 0 {
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reqBody["days_back"] = p.DaysBack
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}
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bodyBytes, err := json.Marshal(reqBody)
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if err != nil {
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return bgptErrJSON(err), err
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}
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resp, err := b.helper.Do(ctx, http.MethodPost, bgptEndpoint, string(bodyBytes), "application/json", map[string]string{"Accept": "application/json"})
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if err != nil {
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return bgptErrJSON(fmt.Errorf("bgpt: request failed: %w", err)),
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fmt.Errorf("bgpt: request failed: %w", err)
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}
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defer resp.Body.Close()
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if resp.StatusCode < 200 || resp.StatusCode >= 300 {
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return bgptErrJSON(fmt.Errorf("bgpt: upstream returned %d", resp.StatusCode)),
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fmt.Errorf("bgpt: upstream returned %d", resp.StatusCode)
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}
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var raw bgptResponse
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if err := json.NewDecoder(resp.Body).Decode(&raw); err != nil {
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return bgptErrJSON(fmt.Errorf("bgpt: parse response: %w", err)),
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fmt.Errorf("bgpt: parse response: %w", err)
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}
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if strings.TrimSpace(raw.Error) != "" {
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err := fmt.Errorf("bgpt: %s", strings.TrimSpace(raw.Error))
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return bgptErrJSON(err), err
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}
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return bgptJSON(bgptEnv{Results: raw.Results}), nil
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}
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func mergeBGPTParams(defaults, params bgptParams) bgptParams {
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if params.APIKey == "" {
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params.APIKey = defaults.APIKey
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}
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if params.DaysBack == 0 {
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params.DaysBack = defaults.DaysBack
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}
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if params.TopN == 0 {
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params.TopN = defaults.TopN
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}
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return params
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}
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func (b *BGPTTool) BuildReferences(_ context.Context, envelope map[string]any) ([]map[string]any, []map[string]any) {
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return buildBGPTReferences(envelope)
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}
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func (b *BGPTTool) BuildComponentOutputs(envelope map[string]any) map[string]any {
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results := envelopeSlice(envelope, "results")
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chunks, _ := buildBGPTReferences(envelope)
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return map[string]any{
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"formalized_content": renderBGPTReferences(chunks, bgptPromptMaxTokens),
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"json": results,
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}
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}
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func buildBGPTReferences(envelope map[string]any) ([]map[string]any, []map[string]any) {
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results := envelopeSlice(envelope, "results")
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chunks := make([]map[string]any, 0, len(results))
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docAggs := make([]map[string]any, 0, len(results))
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for _, result := range results {
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paper, ok := result.(map[string]any)
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if !ok {
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continue
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}
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content := bgptDataImagePattern.ReplaceAllString(formatBGPTPaper(paper), "")
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content = truncateBGPTRunes(content, 10000)
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if content == "" {
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continue
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}
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documentID := strconv.FormatInt(bgptHashInt(content, 100000000), 10)
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displayID := strconv.FormatInt(bgptHashInt(documentID, 500), 10)
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title := bgptFirstField(paper, "title")
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if title == "-" {
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title = "Untitled"
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}
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resultURL := bgptFirstField(paper, "url", "doi")
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if resultURL == "-" {
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resultURL = ""
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}
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chunks = append(chunks, map[string]any{
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"id": displayID,
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"chunk_id": documentID,
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"content": content,
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"doc_id": documentID,
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"document_id": documentID,
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"docnm_kwd": title,
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"document_name": title,
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"similarity": 1,
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"score": 1,
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"url": resultURL,
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})
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docAggs = append(docAggs, map[string]any{"doc_name": title, "doc_id": documentID, "count": 1, "url": resultURL})
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}
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return chunks, docAggs
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}
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func formatBGPTPaper(paper map[string]any) string {
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lines := []string{
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"Title: " + bgptFirstField(paper, "title"),
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"Authors: " + bgptFirstField(paper, "authors"),
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"Journal: " + bgptFirstField(paper, "journal"),
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"Year: " + bgptFirstField(paper, "year"),
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"DOI: " + bgptFirstField(paper, "doi"),
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"Abstract: " + bgptFirstField(paper, "abstract"),
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"Methods: " + bgptFirstField(paper, "methods_and_experimental_techniques", "methods"),
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"Sample size / population: " + bgptFirstField(paper, "sample_size_and_population_characteristics", "sample_size_and_population", "sample_size"),
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"Results: " + bgptFirstField(paper, "results_and_conclusions", "results"),
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"Limitations: " + bgptFirstField(paper, "paper_limitations_and_biases", "limitations"),
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"Conflicts of interest: " + bgptFirstField(paper, "conflict_of_interest_statements", "conflict_of_interest"),
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"Data availability: " + bgptFirstField(paper, "data_availability_statements", "data_availability"),
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"Blind spots: " + bgptFirstField(paper, "study_blindspots", "blind_spots"),
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"How to falsify: " + bgptFirstField(paper, "how_to_falsify", "falsify"),
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}
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return strings.Join(lines, "\n")
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}
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func bgptFirstField(paper map[string]any, keys ...string) string {
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for _, key := range keys {
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value, ok := paper[key]
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if !ok || value == nil {
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continue
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}
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text := strings.TrimSpace(fmt.Sprint(value))
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if text != "" {
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return text
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}
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}
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return "-"
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}
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func renderBGPTReferences(chunks []map[string]any, maxTokens int) string {
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usedTokens := 0
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blocks := make([]string, 0, len(chunks))
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for _, chunk := range chunks {
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content := fmt.Sprint(chunk["content"])
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block := strings.Join([]string{
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"\nID: " + fmt.Sprint(chunk["id"]),
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"├── Title: " + bgptNewlinePattern.ReplaceAllString(fmt.Sprint(chunk["document_name"]), " "),
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"├── URL: " + bgptNewlinePattern.ReplaceAllString(fmt.Sprint(chunk["url"]), " "),
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"└── Content:\n" + content,
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}, "\n")
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blockTokens := tokenizer.NumTokensFromString(block)
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if maxTokens > 0 && float64(usedTokens+blockTokens) > float64(maxTokens)*0.97 {
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break
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}
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usedTokens += blockTokens
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blocks = append(blocks, block)
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}
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return strings.Join(blocks, "\n")
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}
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func bgptHashInt(value string, modulus int64) int64 {
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digest := sha1.Sum([]byte(value))
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number := new(big.Int).SetBytes(digest[:])
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return new(big.Int).Mod(number, big.NewInt(modulus)).Int64()
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}
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func truncateBGPTRunes(value string, limit int) string {
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if utf8.RuneCountInString(value) <= limit {
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return value
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}
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return string([]rune(value)[:limit])
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}
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func bgptJSON(env bgptEnv) string {
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b, _ := json.Marshal(env)
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return string(b)
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}
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func bgptErrJSON(err error) string {
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return bgptJSON(bgptEnv{Error: err.Error()})
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}
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