Files
ragflow/internal/ingestion/task/chunk_utils.go
Jack 8bd62573eb Fix: delete tasklet (#16778)
### Summary

1. Fix: delete tasklet
2. Remove panic in text processing
2026-07-09 17:31:28 +08:00

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