Files
ragflow/sdk/python/ragflow_sdk/modules/dataset.py
euvre 4dcc42e0e1 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>
2026-04-27 09:38:01 +08:00

183 lines
6.4 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.
#
from typing import Any
from .base import Base
from .document import Document
class DataSet(Base):
class ParserConfig(Base):
def __init__(self, rag, res_dict):
super().__init__(rag, res_dict)
def __init__(self, rag, res_dict):
self.id = ""
self.name = ""
self.avatar = ""
self.tenant_id = None
self.description = ""
self.embedding_model = ""
self.permission = "me"
self.document_count = 0
self.chunk_count = 0
self.chunk_method = "naive"
self.parser_config = None
self.pagerank = 0
for k in list(res_dict.keys()):
if k not in self.__dict__:
res_dict.pop(k)
super().__init__(rag, res_dict)
def update(self, update_message: dict):
res = self.put(f"/datasets/{self.id}", update_message)
res = res.json()
if res.get("code") != 0:
raise Exception(res["message"])
self._update_from_dict(self.rag, res.get("data", {}))
return self
def upload_documents(self, document_list: list[dict]):
url = f"/datasets/{self.id}/documents"
files = [("file", (ele["display_name"], ele["blob"])) for ele in document_list]
res = self.post(path=url, json=None, files=files)
res = res.json()
if res.get("code") == 0:
doc_list = []
for doc in res["data"]:
document = Document(self.rag, doc)
doc_list.append(document)
return doc_list
raise Exception(res.get("message"))
def list_documents(
self,
id: str | None = None,
ids: list[str] | None = None,
name: str | None = None,
keywords: str | None = None,
page: int = 1,
page_size: int = 30,
orderby: str = "create_time",
desc: bool = True,
create_time_from: int = 0,
create_time_to: int = 0,
):
# Validate that id and ids are not used together
if id and ids:
raise ValueError("Cannot use both 'id' and 'ids' parameters at the same time.")
params = {
"id": id,
"name": name,
"keywords": keywords,
"page": page,
"page_size": page_size,
"orderby": orderby,
"desc": desc,
"create_time_from": create_time_from,
"create_time_to": create_time_to,
}
# Handle ids parameter - convert to multiple query params
if ids:
for doc_id in ids:
params.append(("ids", doc_id))
res = self.get(f"/datasets/{self.id}/documents", params=params)
res = res.json()
documents = []
if res.get("code") == 0:
for document in res["data"].get("docs"):
documents.append(Document(self.rag, document))
return documents
raise Exception(res["message"])
def delete_documents(self, ids: list[str] | None = None, delete_all: bool = False):
res = self.rm(f"/datasets/{self.id}/documents", {"ids": ids, "delete_all": delete_all})
res = res.json()
if res.get("code") != 0:
raise Exception(res["message"])
def _get_documents_status(self, document_ids):
import time
terminal_states = {"DONE", "FAIL", "CANCEL"}
interval_sec = 1
pending = set(document_ids)
finished = []
while pending:
for doc_id in list(pending):
def fetch_doc(doc_id: str) -> Document | None:
try:
docs = self.list_documents(id=doc_id)
return docs[0] if docs else None
except Exception:
return None
doc = fetch_doc(doc_id)
if doc is None:
continue
if isinstance(doc.run, str) and doc.run.upper() in terminal_states:
finished.append((doc_id, doc.run, doc.chunk_count, doc.token_count))
pending.discard(doc_id)
elif float(doc.progress or 0.0) >= 1.0:
finished.append((doc_id, "DONE", doc.chunk_count, doc.token_count))
pending.discard(doc_id)
if pending:
time.sleep(interval_sec)
return finished
def async_parse_documents(self, document_ids):
res = self.post(f"/datasets/{self.id}/chunks", {"document_ids": document_ids})
res = res.json()
if res.get("code") != 0:
raise Exception(res.get("message"))
def parse_documents(self, document_ids):
try:
self.async_parse_documents(document_ids)
self._get_documents_status(document_ids)
except KeyboardInterrupt:
self.async_cancel_parse_documents(document_ids)
return self._get_documents_status(document_ids)
def async_cancel_parse_documents(self, document_ids):
res = self.rm(f"/datasets/{self.id}/chunks", {"document_ids": document_ids})
res = res.json()
if res.get("code") != 0:
raise Exception(res.get("message"))
def get_auto_metadata(self) -> dict[str, Any]:
"""
Retrieve auto-metadata configuration for a dataset via SDK.
"""
res = self.get(f"/datasets/{self.id}/metadata/config")
res = res.json()
if res.get("code") == 0:
return res["data"]
raise Exception(res["message"])
def update_auto_metadata(self, **config: Any) -> dict[str, Any]:
"""
Update auto-metadata configuration for a dataset via SDK.
"""
res = self.put(f"/datasets/{self.id}/metadata/config", config)
res = res.json()
if res.get("code") == 0:
return res["data"]
raise Exception(res["message"])