Files
ragflow/test/testcases/configs.py
dataCenter430 62a1333cf2 Feat: expose parent-child chunking configuration via HTTP API and Python SDK (#13940)
…
### What problem does this PR solve?

Closes #13857

Parent-child chunking was introduced in v0.23.0 but is only configurable
through the web UI. Users managing datasets programmatically cannot
enable it via the HTTP API or Python SDK because `ParserConfig` uses
`extra="forbid"`, rejecting the `children_delimiter` field at
validation.

### What does this PR change?

Adds a `parent_child` nested config to `ParserConfig`, following the
same pattern as `raptor` and `graphrag`:

```json
"parser_config": {
  "parent_child": {
    "use_parent_child": true,
    "children_delimiter": "\n"
  }
}
```

- api/utils/validation_utils.py — new ParentChildConfig model, added to
ParserConfig
- api/utils/api_utils.py — naive defaults + flatten to
children_delimiter for the execution layer
- api/apps/services/dataset_api_service.py — flatten on the update path
- test/testcases/configs.py — updated DEFAULT_PARSER_CONFIG
-
test/testcases/test_http_api/test_dataset_management/test_create_dataset.py
— 4 valid + 2 invalid test cases

No changes to the execution layer (rag/app/naive.py, rag/nlp/search.py).
Existing UI flow via ext is unaffected.

### Type of change

- [ ] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

* **New Features**
* Added parent-child chunking configuration for dataset creation and
updates with new `use_parent_child` toggle and customizable
`children_delimiter` setting to specify how parent chunks are split into
child chunks.

* **Documentation**
* Updated HTTP and Python API references with parent-child chunking
configuration details and examples.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->
2026-04-08 11:36:57 +08:00

75 lines
2.5 KiB
Python

#
# Copyright 2025 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.
#
import os
import pytest
HOST_ADDRESS = os.getenv("HOST_ADDRESS", "http://127.0.0.1:9380")
VERSION = "v1"
ZHIPU_AI_API_KEY = os.getenv("ZHIPU_AI_API_KEY")
if ZHIPU_AI_API_KEY is None:
pytest.exit("Error: Environment variable ZHIPU_AI_API_KEY must be set")
EMAIL = "qa@infiniflow.org"
# password is "123"
PASSWORD = """ctAseGvejiaSWWZ88T/m4FQVOpQyUvP+x7sXtdv3feqZACiQleuewkUi35E16wSd5C5QcnkkcV9cYc8TKPTRZlxappDuirxghxoOvFcJxFU4ixLsD
fN33jCHRoDUW81IH9zjij/vaw8IbVyb6vuwg6MX6inOEBRRzVbRYxXOu1wkWY6SsI8X70oF9aeLFp/PzQpjoe/YbSqpTq8qqrmHzn9vO+yvyYyvmDsphXe
X8f7fp9c7vUsfOCkM+gHY3PadG+QHa7KI7mzTKgUTZImK6BZtfRBATDTthEUbbaTewY4H0MnWiCeeDhcbeQao6cFy1To8pE3RpmxnGnS8BsBn8w=="""
INVALID_API_TOKEN = "invalid_key_123"
INVALID_ID_32 = "0" * 32
DATASET_NAME_LIMIT = 128
DOCUMENT_NAME_LIMIT = 255
CHAT_ASSISTANT_NAME_LIMIT = 255
SESSION_WITH_CHAT_NAME_LIMIT = 255
DEFAULT_PARSER_CONFIG = {
"layout_recognize": "DeepDOC",
"chunk_token_num": 512,
"delimiter": "\n",
"auto_keywords": 0,
"auto_questions": 0,
"html4excel": False,
"image_context_size": 0,
"table_context_size": 0,
"topn_tags": 3,
"llm_id": "glm-4-flash@ZHIPU-AI",
"raptor": {
"use_raptor": True,
"prompt": "Please summarize the following paragraphs. Be careful with the numbers, do not make things up. Paragraphs as following:\n {cluster_content}\nThe above is the content you need to summarize.",
"max_token": 256,
"threshold": 0.1,
"max_cluster": 64,
"random_seed": 0,
},
"graphrag": {
"use_graphrag": True,
"entity_types": [
"organization",
"person",
"geo",
"event",
"category",
],
"method": "light",
},
"parent_child": {
"use_parent_child": False,
"children_delimiter": "\n",
},
"children_delimiter": "",
}