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This commit is contained in:
wehub-resource-sync
2026-07-13 12:16:49 +08:00
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#
# 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
import requests
HOST_ADDRESS = os.getenv("HOST_ADDRESS", "http://127.0.0.1:9380")
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")
# def generate_random_email():
# return 'user_' + ''.join(random.choices(string.ascii_lowercase + string.digits, k=8))+'@1.com'
def generate_email():
return "user_123@1.com"
EMAIL = generate_email()
# password is "123"
PASSWORD = """ctAseGvejiaSWWZ88T/m4FQVOpQyUvP+x7sXtdv3feqZACiQleuewkUi35E16wSd5C5QcnkkcV9cYc8TKPTRZlxappDuirxghxoOvFcJxFU4ixLsD
fN33jCHRoDUW81IH9zjij/vaw8IbVyb6vuwg6MX6inOEBRRzVbRYxXOu1wkWY6SsI8X70oF9aeLFp/PzQpjoe/YbSqpTq8qqrmHzn9vO+yvyYyvmDsphXe
X8f7fp9c7vUsfOCkM+gHY3PadG+QHa7KI7mzTKgUTZImK6BZtfRBATDTthEUbbaTewY4H0MnWiCeeDhcbeQao6cFy1To8pE3RpmxnGnS8BsBn8w=="""
def register():
url = HOST_ADDRESS + "/api/v1/users"
name = "user"
register_data = {"email": EMAIL, "nickname": name, "password": PASSWORD}
res = requests.post(url=url, json=register_data)
res = res.json()
if res.get("code") != 0:
raise Exception(res.get("message"))
def login():
url = HOST_ADDRESS + "/api/v1/auth/login"
login_data = {"email": EMAIL, "password": PASSWORD}
response = requests.post(url=url, json=login_data)
res = response.json()
if res.get("code") != 0:
raise Exception(res.get("message"))
auth = response.headers["Authorization"]
return auth
@pytest.fixture(scope="session")
def get_api_key_fixture():
try:
register()
except Exception as e:
print(e)
auth = login()
url = HOST_ADDRESS + "/v1/system/tokens"
auth = {"Authorization": auth}
response = requests.post(url=url, headers=auth)
res = response.json()
if res.get("code") != 0:
raise Exception(res.get("message"))
return res["data"].get("token")
@pytest.fixture(scope="session")
def get_auth():
try:
register()
except Exception as e:
print(e)
auth = login()
return auth
@pytest.fixture(scope="session")
def get_email():
return EMAIL
def get_added_models(auth, factory_name):
url = HOST_ADDRESS + "/api/v1/models"
authorization = {"Authorization": auth}
response = requests.get(url=url, headers=authorization)
res = response.json()
if res.get("code") != 0:
raise Exception(res.get("message"))
added_factory = {model["provider_name"] for model in res.get("data", [])}
if factory_name in added_factory:
return True
return False
def add_model_instance(auth):
add_provider_api = HOST_ADDRESS + "/api/v1/providers"
authorization = {"Authorization": auth}
add_provider_response = requests.put(url=add_provider_api, headers=authorization, json={"provider_name": "ZHIPU-AI"})
add_provider_res = add_provider_response.json()
if add_provider_res.get("code") != 0:
pytest.exit(f"Critical error in add model provider: {add_provider_res.get('message')}")
add_instance_api = HOST_ADDRESS + "/api/v1/providers/ZHIPU-AI/instances"
add_instance_response = requests.post(url=add_instance_api, headers=authorization, json={"instance_name": "CI", "api_key": ZHIPU_AI_API_KEY, "region": "default", "base_url": ""})
add_instance_res = add_instance_response.json()
if add_instance_res.get("code") != 0:
pytest.exit(f"Critical error in add model instance: {add_instance_res.get('message')}")
add_success = get_added_models(auth, "ZHIPU-AI")
if not add_success:
pytest.exit("Critical error in check added model: add model failed")
@pytest.fixture(scope="session", autouse=True)
def set_tenant_info(get_auth):
auth = get_auth
if not get_added_models(auth, "ZHIPU-AI"):
try:
add_model_instance(auth)
except Exception as e:
pytest.exit(f"Error in set_tenant_info: {str(e)}")
url = HOST_ADDRESS + "/api/v1/models/default"
authorization = {"Authorization": get_auth}
# set chat model
set_default_llm_response = requests.patch(url=url, headers=authorization, json={"model_provider": "ZHIPU-AI", "model_instance": "CI", "model_type": "chat", "model_name": "glm-4-flash"})
llm_res = set_default_llm_response.json()
if llm_res.get("code") != 0:
raise Exception(llm_res.get("message"))
# set embedding model
set_default_embedding_response = requests.patch(
url=url, headers=authorization, json={"model_provider": "Builtin", "model_instance": "Local", "model_type": "embedding", "model_name": "BAAI/bge-small-en-v1.5"}
)
embd_res = set_default_embedding_response.json()
if embd_res.get("code") != 0:
raise Exception(embd_res.get("message"))
# set image to text model
set_default_img2txt_response = requests.patch(url=url, headers=authorization, json={"model_provider": "ZHIPU-AI", "model_instance": "CI", "model_type": "vision", "model_name": "glm-4v"})
img2txt_res = set_default_img2txt_response.json()
if img2txt_res.get("code") != 0:
raise Exception(img2txt_res.get("message"))
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#
# 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 requests
HOST_ADDRESS = os.getenv("HOST_ADDRESS", "http://127.0.0.1:9380")
API_VERSION = "v1"
DATASETS_API_URL = f"/api/{API_VERSION}/datasets"
DATASET_NAME_LIMIT = 128
def create_dataset(auth, payload=None):
url = f"{HOST_ADDRESS}{DATASETS_API_URL}"
res = requests.post(url=url, headers={"Content-Type": "application/json"}, auth=auth, json=payload)
return res.json()
def list_dataset(auth, params=None):
url = f"{HOST_ADDRESS}{DATASETS_API_URL}"
res = requests.get(url=url, headers={"Content-Type": "application/json"}, auth=auth, params=params)
return res.json()
def rm_dataset(auth, dataset_ids):
url = f"{HOST_ADDRESS}{DATASETS_API_URL}"
res = requests.delete(url=url, headers={"Content-Type": "application/json"}, auth=auth, json={"ids": dataset_ids})
return res.json()
def update_dataset(auth, dataset_id, payload=None):
url = f"{HOST_ADDRESS}{DATASETS_API_URL}/{dataset_id}"
res = requests.put(url=url, headers={"Content-Type": "application/json"}, auth=auth, json=payload)
return res.json()
def upload_file(auth, dataset_id, path):
authorization = {"Authorization": auth}
url = f"{HOST_ADDRESS}/v1/document/upload"
json_req = {
"kb_id": dataset_id,
}
file = {"file": open(f"{path}", "rb")}
res = requests.post(url=url, headers=authorization, files=file, data=json_req)
return res.json()
def list_document(auth, dataset_id):
authorization = {"Authorization": auth}
url = f"{HOST_ADDRESS}/v1/document/list?id={dataset_id}"
json = {}
res = requests.post(url=url, headers=authorization, json=json)
return res.json()
def get_docs_info(auth, dataset_id, doc_ids=None, doc_id=None):
"""
Get document information by IDs.
Args:
auth: Authorization header
dataset_id: Dataset ID
doc_ids: List of document IDs (use for multiple) - exclusive with doc_id
doc_id: Single document ID (use for one) - exclusive with doc_ids
Raises:
ValueError: If both doc_id and doc_ids are provided
"""
# Validate that id and ids are not used together
if doc_id and doc_ids:
raise ValueError("Cannot use both 'id' and 'ids' parameters at the same time.")
authorization = {"Authorization": auth}
params = {}
if doc_ids:
# Multiple IDs
for id in doc_ids:
params.append(("ids", id))
elif doc_id:
# Single ID
params["id"] = doc_id
# Use /api/v1 prefix for dataset API
url = f"{HOST_ADDRESS}/api/v1/datasets/{dataset_id}/documents"
res = requests.get(url=url, headers=authorization, params=params)
return res.json()
def parse_docs(auth, doc_ids):
authorization = {"Authorization": auth}
json_req = {"doc_ids": doc_ids, "run": 1}
url = f"{HOST_ADDRESS}/api/v1/documents/ingest"
res = requests.post(url=url, headers=authorization, json=json_req)
return res.json()
def parse_file(auth, document_id):
pass
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#
# 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.
#
def test_get_email(get_email):
print("\nEmail account:", flush=True)
print(f"{get_email}\n", flush=True)
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#
# Copyright 2024 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 common import create_dataset, list_dataset, rm_dataset, upload_file
from common import list_document, get_docs_info, parse_docs
from time import sleep
from timeit import default_timer as timer
def test_parse_txt_document(get_auth):
# create dataset
res = create_dataset(get_auth, {"name": "test_parse_txt_document"})
assert res.get("code") == 0, f"{res.get('message')}"
# list dataset
page_number = 1
dataset_list = []
dataset_id = None
while True:
res = list_dataset(get_auth, {"page": page_number, "page_size": 150})
data = res.get("data")
if isinstance(data, dict):
data = data.get("kbs", [])
for item in data:
dataset_id = item.get("id")
dataset_list.append(dataset_id)
if len(dataset_list) < page_number * 150:
break
page_number += 1
filename = "ragflow_test.txt"
res = upload_file(get_auth, dataset_id, f"../test_sdk_api/test_data/{filename}")
assert res.get("code") == 0, f"{res.get('message')}"
res = list_document(get_auth, dataset_id)
doc_id_list = []
for doc in res["data"]["docs"]:
doc_id_list.append(doc["id"])
res = get_docs_info(get_auth, dataset_id, doc_ids=doc_id_list)
print(doc_id_list)
doc_count = len(doc_id_list)
res = parse_docs(get_auth, doc_id_list)
start_ts = timer()
while True:
res = get_docs_info(get_auth, dataset_id, doc_ids=doc_id_list)
finished_count = 0
for doc_info in res["data"]:
if doc_info["progress"] == 1:
finished_count += 1
if finished_count == doc_count:
break
sleep(1)
print("time cost {:.1f}s".format(timer() - start_ts))
# delete dataset
if dataset_list:
res = rm_dataset(get_auth, dataset_list)
assert res.get("code") == 0, f"{res.get('message')}"
print(f"{len(dataset_list)} datasets are deleted")
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#
# 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 common import create_dataset, list_dataset, rm_dataset, update_dataset, DATASET_NAME_LIMIT
import re
import random
import string
def test_dataset(get_auth):
# create dataset
res = create_dataset(get_auth, {"name": "test_create_dataset"})
assert res.get("code") == 0, f"{res.get('message')}"
# list dataset
page_number = 1
dataset_list = []
while True:
res = list_dataset(get_auth, {"page": page_number, "page_size": 150})
data = res.get("data")
if isinstance(data, dict):
data = data.get("kbs", [])
for item in data:
dataset_id = item.get("id")
dataset_list.append(dataset_id)
if len(dataset_list) < page_number * 150:
break
page_number += 1
print(f"found {len(dataset_list)} datasets")
# delete dataset
if dataset_list:
res = rm_dataset(get_auth, dataset_list)
assert res.get("code") == 0, f"{res.get('message')}"
print(f"{len(dataset_list)} datasets are deleted")
def test_dataset_1k_dataset(get_auth):
# create dataset
for i in range(1000):
res = create_dataset(get_auth, {"name": f"test_create_dataset_{i}"})
assert res.get("code") == 0, f"{res.get('message')}"
# list dataset
page_number = 1
dataset_list = []
while True:
res = list_dataset(get_auth, {"page": page_number, "page_size": 150})
data = res.get("data")
if isinstance(data, dict):
data = data.get("kbs", [])
for item in data:
dataset_id = item.get("id")
dataset_list.append(dataset_id)
if len(dataset_list) < page_number * 150:
break
page_number += 1
print(f"found {len(dataset_list)} datasets")
# delete dataset
if dataset_list:
res = rm_dataset(get_auth, dataset_list)
assert res.get("code") == 0, f"{res.get('message')}"
print(f"{len(dataset_list)} datasets are deleted")
def test_duplicated_name_dataset(get_auth):
# create dataset
for i in range(20):
res = create_dataset(get_auth, {"name": "test_create_dataset"})
assert res.get("code") == 0, f"{res.get('message')}"
# list dataset
res = list_dataset(get_auth, {"page": 1})
data = res.get("data")
if isinstance(data, dict):
data = data.get("kbs", [])
dataset_list = []
pattern = r"^test_create_dataset.*"
for item in data:
dataset_name = item.get("name")
dataset_id = item.get("id")
dataset_list.append(dataset_id)
match = re.match(pattern, dataset_name)
assert match is not None
if dataset_list:
res = rm_dataset(get_auth, dataset_list)
assert res.get("code") == 0, f"{res.get('message')}"
print(f"{len(dataset_list)} datasets are deleted")
def test_invalid_name_dataset(get_auth):
# create dataset
res = create_dataset(get_auth, {"name": 0})
assert res["code"] != 0
res = create_dataset(get_auth, {"name": ""})
assert res["code"] != 0
long_string = ""
while len(long_string.encode("utf-8")) <= DATASET_NAME_LIMIT:
long_string += random.choice(string.ascii_letters + string.digits)
res = create_dataset(get_auth, {"name": long_string})
assert res["code"] != 0
print(res)
def test_update_different_params_dataset_success(get_auth):
# create dataset
res = create_dataset(get_auth, {"name": "test_create_dataset"})
assert res.get("code") == 0, f"{res.get('message')}"
# list dataset
page_number = 1
dataset_list = []
while True:
res = list_dataset(get_auth, {"page": page_number, "page_size": 150})
data = res.get("data")
if isinstance(data, dict):
data = data.get("kbs", [])
for item in data:
dataset_id = item.get("id")
dataset_list.append(dataset_id)
if len(dataset_list) < page_number * 150:
break
page_number += 1
print(f"found {len(dataset_list)} datasets")
dataset_id = dataset_list[0]
res = update_dataset(
get_auth,
dataset_id,
{
"name": "test_update_dataset",
"description": "test",
"permission": "me",
"chunk_method": "presentation",
"language": "spanish",
},
)
assert res.get("code") == 0, f"{res.get('message')}"
# delete dataset
if dataset_list:
res = rm_dataset(get_auth, dataset_list)
assert res.get("code") == 0, f"{res.get('message')}"
print(f"{len(dataset_list)} datasets are deleted")
# update dataset with different parameters
def test_update_different_params_dataset_fail(get_auth):
# create dataset
res = create_dataset(get_auth, {"name": "test_create_dataset"})
assert res.get("code") == 0, f"{res.get('message')}"
# list dataset
page_number = 1
dataset_list = []
while True:
res = list_dataset(get_auth, {"page": page_number, "page_size": 150})
data = res.get("data")
if isinstance(data, dict):
data = data.get("kbs", [])
for item in data:
dataset_id = item.get("id")
dataset_list.append(dataset_id)
if len(dataset_list) < page_number * 150:
break
page_number += 1
print(f"found {len(dataset_list)} datasets")
dataset_id = dataset_list[0]
res = update_dataset(get_auth, dataset_id, {"id": "xxx"})
assert res.get("code") == 101
# delete dataset
if dataset_list:
res = rm_dataset(get_auth, dataset_list)
assert res.get("code") == 0, f"{res.get('message')}"
print(f"{len(dataset_list)} datasets are deleted")