mirror of
https://github.com/infiniflow/ragflow.git
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174 lines
5.0 KiB
Go
174 lines
5.0 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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// OneChunker emits a single chunk per upstream document. It is the
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// faithful Go port of the Python `one` chunk method
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// (rag/app/one.py) and also covers the `picture` / `audio` methods,
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// whose Python chunk() functions return exactly one chunk per file
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// (rag/app/picture.py, rag/app/audio.py) — the latter additionally
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// carrying the raw image / media context, which this chunker preserves.
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//
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// Unlike TokenChunker in "one" mode (which drops per-item media
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// context), OneChunker carries the image attachment and doc_type of a
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// single upstream item through unchanged, so picture/audio pipelines
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// keep their media payload.
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package chunker
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import (
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"context"
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"fmt"
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"strings"
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"ragflow/internal/agent/runtime"
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"ragflow/internal/ingestion/component/schema"
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)
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const ComponentNameOneChunker = "OneChunker"
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type oneChunkerParam struct{}
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func (p *oneChunkerParam) Update(conf map[string]any) {}
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func (oneChunkerParam) Defaults() oneChunkerParam { return oneChunkerParam{} }
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func (oneChunkerParam) Validate() error { return nil }
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type OneChunkerComponent struct {
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name string
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param oneChunkerParam
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}
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func NewOneChunker(params map[string]any) (runtime.Component, error) {
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p := oneChunkerParam{}.Defaults()
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(&p).Update(params)
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if err := p.Validate(); err != nil {
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return nil, err
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}
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return &OneChunkerComponent{
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name: ComponentNameOneChunker,
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param: p,
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}, nil
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}
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func (c *OneChunkerComponent) Inputs() map[string]string { return ChunkerInputs }
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func (c *OneChunkerComponent) Outputs() map[string]string { return ChunkerOutputs }
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func (c *OneChunkerComponent) Invoke(ctx context.Context, inputs map[string]any) (map[string]any, error) {
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return c.invoke(ctx, inputs)
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}
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func (c *OneChunkerComponent) invoke(_ context.Context, inputs map[string]any) (map[string]any, error) {
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if inputs == nil {
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return emptyOutputs(), nil
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}
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upstream, err := decodeChunkerFromUpstream(inputs)
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if err != nil {
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return map[string]any{
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"output_format": "chunks",
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"chunks": []map[string]any{},
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"_ERROR": fmt.Sprintf("Input error: %v", err),
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}, nil
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}
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switch upstream.OutputFormat {
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case schema.PayloadFormatMarkdown:
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if upstream.MarkdownResult == nil {
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return emptyOutputs(), nil
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}
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return emitOne(*upstream.MarkdownResult, "text"), nil
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case schema.PayloadFormatText:
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if upstream.TextResult == nil {
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return emptyOutputs(), nil
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}
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return emitOne(*upstream.TextResult, "text"), nil
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case schema.PayloadFormatHTML:
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if upstream.HTMLResult == nil {
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return emptyOutputs(), nil
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}
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return emitOne(*upstream.HTMLResult, "text"), nil
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default:
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return emitOneFromItems(upstream.JSONResult, upstream.Chunks), nil
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}
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}
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// emitOne wraps a single text payload as one chunk.
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func emitOne(text, docType string) map[string]any {
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if strings.TrimSpace(text) == "" {
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return emptyOutputs()
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}
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return chunkOutputs([]schema.ChunkDoc{{
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Text: text,
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DocType: docType,
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CKType: docType,
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}})
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}
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// emitOneFromItems collapses a structured upstream payload into a single
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// chunk. When the payload is a single item, its media context (image)
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// and doc_type are preserved. When it is many items, their text is
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// concatenated and the first available image attachment is carried over —
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// mirroring the Python "one chunk per file" behavior for picture/audio,
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// where each upstream item is one page/slide/transcript segment of the
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// same source file.
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func emitOneFromItems(items, chunks []schema.ChunkDoc) map[string]any {
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src := items
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if len(src) == 0 {
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src = chunks
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}
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if len(src) == 0 {
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return emptyOutputs()
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}
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if len(src) == 1 {
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it := src[0]
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docType := itemDocType(it)
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text := itemTextOrFallback(it)
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if strings.TrimSpace(text) == "" && it.Image == "" {
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return emptyOutputs()
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}
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out := schema.ChunkDoc{
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Text: text,
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DocType: docType,
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CKType: docType,
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Image: it.Image,
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}
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return chunkOutputs([]schema.ChunkDoc{out})
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}
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var parts []string
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var img string
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for _, it := range src {
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if t := itemTextOrFallback(it); t != "" {
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parts = append(parts, t)
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}
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if img == "" && it.Image != "" {
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img = it.Image
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}
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}
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merged := strings.Join(parts, "\n")
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if strings.TrimSpace(merged) == "" && img == "" {
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return emptyOutputs()
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}
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out := schema.ChunkDoc{Text: merged, DocType: "text", CKType: "text"}
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if img != "" {
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out.Image = img
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}
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return chunkOutputs([]schema.ChunkDoc{out})
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}
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func init() {
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MustRegisterChunker(ComponentNameOneChunker)
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}
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