feat(api): add unified index API and dataset management endpoints (#14222)

### What problem does this PR solve?

## Summary

Refactor the dataset API layer into a clean service/REST separation
pattern, add a unified `/index` API for graph/raptor/mindmap operations,
and introduce several new dataset management endpoints with full test
coverage.

## Changes

### Service Layer (`dataset_api_service.py`)

- Added `trace_index(dataset_id, tenant_id, index_type)` — unified trace
function for all index types
- Added `run_index`, `delete_index` service functions
- Added `get_dataset`, `get_ingestion_summary`, `list_ingestion_logs`,
`get_ingestion_log`
- Added `run_embedding`, `list_tags`, `aggregate_tags`, `delete_tags`,
`rename_tag`
- Added `get_flattened_metadata`, `get_auto_metadata`,
`update_auto_metadata`

### REST API Layer (`dataset_api.py`)

**New unified routes:**

| Method | Route | Description |
|--------|-------|-------------|
| POST | `/datasets/<id>/index?type=graph\|raptor\|mindmap` | Run index
task |
| GET | `/datasets/<id>/index?type=graph\|raptor\|mindmap` | Trace index
task |
| DELETE | `/datasets/<id>/<index_type>` | Delete index |
| GET | `/datasets/<id>` | Get dataset details |
| GET | `/datasets/<id>/ingestions/summary` | Ingestion summary |
| GET | `/datasets/<id>/ingestions` | List ingestion logs |
| GET | `/datasets/<id>/ingestions/<log_id>` | Get single ingestion log
|
| POST | `/datasets/<id>/embedding` | Run embedding |
| GET | `/datasets/<id>/tags` | List tags |
| GET | `/datasets/tags/aggregation` | Aggregate tags across datasets |
| DELETE | `/datasets/<id>/tags` | Delete tags |
| PUT | `/datasets/<id>/tags` | Rename tag |
| GET | `/datasets/metadata/flattened` | Get flattened metadata |
| GET/PUT | `/datasets/<id>/metadata/config` | New metadata config path
|

**Removed routes (replaced by unified `/index`):**

- `POST /datasets/<id>/mindmap`
- `GET /datasets/<id>/mindmap`

**Preserved legacy routes (backward compatibility):**

- `/run_graphrag`, `/trace_graphrag`, `/run_raptor`, `/trace_raptor`
- `/auto_metadata` GET/PUT

### Test Suite

- Updated `common.py` helpers: added `trace_index`, removed
`run_mindmap`/`trace_mindmap`
- Added 7 new test files with 39 test cases total:

| Test File | Cases |
|-----------|-------|
| `test_get_dataset.py` | 4 |
| `test_ingestion_summary.py` | 2 |
| `test_ingestion_logs.py` | 5 |
| `test_index_api.py` | 14 |
| `test_embedding.py` | 2 |
| `test_tags.py` | 8 |
| `test_flattened_metadata.py` | 4 |

- Deleted `test_mindmap_tasks.py` (covered by unified index tests)

## Design Decisions

1. **Unified `/index?type=...`** — single endpoint replaces 3 separate
route pairs for graph/raptor/mindmap
2. **Backward compatibility** — old routes (`/run_graphrag`,
`/run_raptor`, `/auto_metadata`) preserved alongside new paths
3. **`_VALID_INDEX_TYPES = {"graph", "raptor", "mindmap"}`** — input
validation via constant set
4. **`_INDEX_TYPE_TO_TASK_ID_FIELD`** — maps index type to KB model task
ID field for clean dispatch

## Files Changed

- `api/apps/restful_apis/dataset_api.py`
- `api/apps/services/dataset_api_service.py`
- `sdk/python/ragflow_sdk/modules/dataset.py`
- `test/testcases/test_http_api/common.py`
- `test/testcases/test_http_api/test_dataset_management/` (7 new files)
### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring

---------

Signed-off-by: noob <yixiao121314@outlook.com>
This commit is contained in:
euvre
2026-04-27 01:38:01 +00:00
committed by GitHub
parent fb95136f39
commit 4dcc42e0e1
51 changed files with 1765 additions and 4381 deletions

View File

@@ -25,7 +25,6 @@ from utils.file_utils import create_txt_file
HEADERS = {"Content-Type": "application/json"}
KB_APP_URL = f"/{VERSION}/kb"
DATASETS_URL = f"/api/{VERSION}/datasets"
DOCUMENT_APP_URL = f"/{VERSION}/document"
CHUNK_APP_URL = f"/{VERSION}/chunk"
@@ -207,49 +206,41 @@ def delete_datasets(auth, payload=None, *, headers=HEADERS, data=None):
return res.json()
def detail_kb(auth, params=None, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{KB_APP_URL}/detail", headers=headers, auth=auth, params=params)
def detail_kb(auth, dataset_id, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}", headers=headers, auth=auth)
return res.json()
def kb_get_meta(auth, params=None, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{KB_APP_URL}/get_meta", headers=headers, auth=auth, params=params)
def kb_get_meta(auth, dataset_ids, *, headers=HEADERS):
params = {"dataset_ids": dataset_ids}
res = requests.get(url=f"{HOST_ADDRESS}{DATASETS_URL}/metadata/flattened", headers=headers, auth=auth, params=params)
return res.json()
def kb_basic_info(auth, params=None, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{KB_APP_URL}/basic_info", headers=headers, auth=auth, params=params)
def kb_basic_info(auth, dataset_id, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/ingestions/summary", headers=headers, auth=auth)
return res.json()
def kb_update_metadata_setting(auth, payload=None, *, headers=HEADERS, data=None):
res = requests.post(url=f"{HOST_ADDRESS}{KB_APP_URL}/update_metadata_setting", headers=headers, auth=auth, json=payload, data=data)
def kb_update_metadata_setting(auth, dataset_id, payload=None, *, headers=HEADERS, data=None):
res = requests.put(url=f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/metadata/config", headers=headers, auth=auth, json=payload, data=data)
return res.json()
def kb_list_pipeline_logs(auth, params=None, payload=None, *, headers=HEADERS, data=None):
if payload is None:
payload = {}
res = requests.post(url=f"{HOST_ADDRESS}{KB_APP_URL}/list_pipeline_logs", headers=headers, auth=auth, params=params, json=payload, data=data)
def kb_list_pipeline_logs(auth, dataset_id, params=None, *, headers=HEADERS):
url = f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/ingestions"
res = requests.get(url=url, headers=headers, auth=auth, params=params)
return res.json()
def kb_list_pipeline_dataset_logs(auth, params=None, payload=None, *, headers=HEADERS, data=None):
if payload is None:
payload = {}
res = requests.post(url=f"{HOST_ADDRESS}{KB_APP_URL}/list_pipeline_dataset_logs", headers=headers, auth=auth, params=params, json=payload, data=data)
def kb_list_pipeline_dataset_logs(auth, dataset_id, params=None, *, headers=HEADERS):
url = f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/ingestions"
res = requests.get(url=url, headers=headers, auth=auth, params=params)
return res.json()
def kb_delete_pipeline_logs(auth, params=None, payload=None, *, headers=HEADERS, data=None):
if payload is None:
payload = {}
res = requests.post(url=f"{HOST_ADDRESS}{KB_APP_URL}/delete_pipeline_logs", headers=headers, auth=auth, params=params, json=payload, data=data)
return res.json()
def kb_pipeline_log_detail(auth, params=None, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{KB_APP_URL}/pipeline_log_detail", headers=headers, auth=auth, params=params)
def kb_pipeline_log_detail(auth, dataset_id, log_id, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/ingestions/{log_id}", headers=headers, auth=auth)
return res.json()
@@ -269,57 +260,24 @@ def delete_knowledge_graph(auth, dataset_id, payload=None):
return res.json()
def run_graphrag(auth, dataset_id, payload=None):
url = f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/run_graphrag"
res = requests.post(url=url, headers=HEADERS, auth=auth, json=payload)
def list_tags_from_kbs(auth, dataset_ids, *, headers=HEADERS):
params = {"dataset_ids": dataset_ids}
res = requests.get(url=f"{HOST_ADDRESS}{DATASETS_URL}/tags/aggregation", headers=headers, auth=auth, params=params)
return res.json()
def trace_graphrag(auth, dataset_id, params=None):
url = f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/trace_graphrag"
res = requests.get(url=url, headers=HEADERS, auth=auth, params=params)
return res.json()
def run_raptor(auth, dataset_id, payload=None):
url = f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/run_raptor"
res = requests.post(url=url, headers=HEADERS, auth=auth, json=payload)
return res.json()
def trace_raptor(auth, dataset_id, params=None):
url = f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/trace_raptor"
res = requests.get(url=url, headers=HEADERS, auth=auth, params=params)
return res.json()
def kb_run_mindmap(auth, payload=None, *, headers=HEADERS, data=None):
res = requests.post(url=f"{HOST_ADDRESS}{KB_APP_URL}/run_mindmap", headers=headers, auth=auth, json=payload, data=data)
return res.json()
def kb_trace_mindmap(auth, params=None, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{KB_APP_URL}/trace_mindmap", headers=headers, auth=auth, params=params)
return res.json()
def list_tags_from_kbs(auth, params=None, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{KB_APP_URL}/tags", headers=headers, auth=auth, params=params)
return res.json()
def list_tags(auth, dataset_id, params=None, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{KB_APP_URL}/{dataset_id}/tags", headers=headers, auth=auth, params=params)
def list_tags(auth, dataset_id, *, headers=HEADERS):
res = requests.get(url=f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/tags", headers=headers, auth=auth)
return res.json()
def rm_tags(auth, dataset_id, payload=None, *, headers=HEADERS, data=None):
res = requests.post(url=f"{HOST_ADDRESS}{KB_APP_URL}/{dataset_id}/rm_tags", headers=headers, auth=auth, json=payload, data=data)
res = requests.delete(url=f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/tags", headers=headers, auth=auth, json=payload, data=data)
return res.json()
def rename_tags(auth, dataset_id, payload=None, *, headers=HEADERS, data=None):
res = requests.post(url=f"{HOST_ADDRESS}{KB_APP_URL}/{dataset_id}/rename_tag", headers=headers, auth=auth, json=payload, data=data)
res = requests.put(url=f"{HOST_ADDRESS}{DATASETS_URL}/{dataset_id}/tags", headers=headers, auth=auth, json=payload, data=data)
return res.json()