mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-07-11 06:05:45 +08:00
150 lines
3.8 KiB
Go
150 lines
3.8 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 task
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import (
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"fmt"
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"ragflow/internal/common"
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)
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// NormalizeChunks converts pipeline output into a uniform []map[string]any slice.
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// Mirrors Python: DataflowService._normalize_chunks()
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func NormalizeChunks(output map[string]any) []map[string]any {
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if output == nil {
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return nil
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}
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if chunks, ok := output["chunks"].([]map[string]any); ok {
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return deepCopyChunks(chunks)
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}
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if chunks, ok := toChunkMaps(output["chunks"]); ok {
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return deepCopyChunks(chunks)
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}
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if json, ok := output["json"].([]map[string]any); ok {
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return deepCopyChunks(json)
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}
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if json, ok := toChunkMaps(output["json"]); ok {
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return deepCopyChunks(json)
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}
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if md, ok := output["markdown"].(string); ok && md != "" {
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return []map[string]any{{"text": md}}
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}
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if txt, ok := output["text"].(string); ok && txt != "" {
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return []map[string]any{{"text": txt}}
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}
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if html, ok := output["html"].(string); ok && html != "" {
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return []map[string]any{{"text": html}}
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}
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return nil
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}
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func toChunkMaps(v any) ([]map[string]any, bool) {
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items, ok := v.([]any)
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if !ok {
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return nil, false
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}
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out := make([]map[string]any, 0, len(items))
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for _, item := range items {
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m, ok := item.(map[string]any)
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if !ok {
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return nil, false
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}
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out = append(out, m)
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}
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return out, true
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}
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// deepCopyChunks returns a deep copy of the chunk slice and each chunk map.
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// Slice values (e.g. []float64 vectors) are fully copied, not shared.
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// Mirrors Python: copy.deepcopy()
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func deepCopyChunks(chunks []map[string]any) []map[string]any {
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if chunks == nil {
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return nil
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}
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out := make([]map[string]any, len(chunks))
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for i, c := range chunks {
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cp := make(map[string]any, len(c))
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for k, v := range c {
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switch val := v.(type) {
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case []float64:
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vec := make([]float64, len(val))
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copy(vec, val)
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cp[k] = vec
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case []int:
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sl := make([]int, len(val))
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copy(sl, val)
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cp[k] = sl
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case []string:
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sl := make([]string, len(val))
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copy(sl, val)
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cp[k] = sl
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default:
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cp[k] = v
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}
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}
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out[i] = cp
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}
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return out
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}
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// PrepareTextsForDataflowEmbedding extracts texts for embedding from chunks.
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// Priority: questions > summary > text.
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// Mirrors Python: EmbeddingUtils.prepare_texts_for_dataflow_embedding()
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func PrepareTextsForDataflowEmbedding(chunks []map[string]any) []string {
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if chunks == nil {
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return nil
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}
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texts := make([]string, 0, len(chunks))
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for _, chunk := range chunks {
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text, _ := chunk["questions"].(string)
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if text == "" {
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text, _ = chunk["summary"].(string)
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}
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if text == "" {
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chunkText, err := MustGetChunkTextString(chunk)
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if err != nil {
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common.Error("chunk[text] is not string", err)
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} else {
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text = chunkText
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}
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}
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if text != "" {
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texts = append(texts, text)
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}
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}
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return texts
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}
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// MustGetChunkTextString returns chunk["text"] when it is a string.
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// Missing text is allowed and returns empty string.
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func MustGetChunkTextString(chunk map[string]any) (string, error) {
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val, exists := chunk["text"]
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if !exists || val == nil {
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return "", nil
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}
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text, ok := val.(string)
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if ok {
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return text, nil
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}
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msg := fmt.Sprintf("invalid chunk text type %T, expected string, chunk=%v", val, chunk)
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err := fmt.Errorf("unexpected chunk text type - not string")
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common.Error(msg, err)
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return "", err
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}
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