chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,152 @@
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#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
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#
|
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
|
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import os
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import pytest
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import requests
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HOST_ADDRESS = os.getenv("HOST_ADDRESS", "http://127.0.0.1:9380")
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ZHIPU_AI_API_KEY = os.getenv("ZHIPU_AI_API_KEY")
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if ZHIPU_AI_API_KEY is None:
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pytest.exit("Error: Environment variable ZHIPU_AI_API_KEY must be set")
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# def generate_random_email():
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# return 'user_' + ''.join(random.choices(string.ascii_lowercase + string.digits, k=8))+'@1.com'
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def generate_email():
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return "user_123@1.com"
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EMAIL = generate_email()
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# password is "123"
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PASSWORD = """ctAseGvejiaSWWZ88T/m4FQVOpQyUvP+x7sXtdv3feqZACiQleuewkUi35E16wSd5C5QcnkkcV9cYc8TKPTRZlxappDuirxghxoOvFcJxFU4ixLsD
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fN33jCHRoDUW81IH9zjij/vaw8IbVyb6vuwg6MX6inOEBRRzVbRYxXOu1wkWY6SsI8X70oF9aeLFp/PzQpjoe/YbSqpTq8qqrmHzn9vO+yvyYyvmDsphXe
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X8f7fp9c7vUsfOCkM+gHY3PadG+QHa7KI7mzTKgUTZImK6BZtfRBATDTthEUbbaTewY4H0MnWiCeeDhcbeQao6cFy1To8pE3RpmxnGnS8BsBn8w=="""
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def register():
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url = HOST_ADDRESS + "/api/v1/users"
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name = "user"
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register_data = {"email": EMAIL, "nickname": name, "password": PASSWORD}
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res = requests.post(url=url, json=register_data)
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res = res.json()
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if res.get("code") != 0:
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raise Exception(res.get("message"))
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def login():
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url = HOST_ADDRESS + "/api/v1/auth/login"
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login_data = {"email": EMAIL, "password": PASSWORD}
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response = requests.post(url=url, json=login_data)
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res = response.json()
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if res.get("code") != 0:
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raise Exception(res.get("message"))
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auth = response.headers["Authorization"]
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return auth
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@pytest.fixture(scope="session")
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def get_api_key_fixture():
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try:
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register()
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except Exception as e:
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print(e)
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auth = login()
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url = HOST_ADDRESS + "/v1/system/tokens"
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auth = {"Authorization": auth}
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response = requests.post(url=url, headers=auth)
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res = response.json()
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if res.get("code") != 0:
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raise Exception(res.get("message"))
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return res["data"].get("token")
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@pytest.fixture(scope="session")
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def get_auth():
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try:
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register()
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except Exception as e:
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print(e)
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auth = login()
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return auth
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@pytest.fixture(scope="session")
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def get_email():
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return EMAIL
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def get_added_models(auth, factory_name):
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url = HOST_ADDRESS + "/api/v1/models"
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authorization = {"Authorization": auth}
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response = requests.get(url=url, headers=authorization)
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res = response.json()
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if res.get("code") != 0:
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raise Exception(res.get("message"))
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added_factory = {model["provider_name"] for model in res.get("data", [])}
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if factory_name in added_factory:
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return True
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return False
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def add_model_instance(auth):
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add_provider_api = HOST_ADDRESS + "/api/v1/providers"
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authorization = {"Authorization": auth}
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add_provider_response = requests.put(url=add_provider_api, headers=authorization, json={"provider_name": "ZHIPU-AI"})
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add_provider_res = add_provider_response.json()
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if add_provider_res.get("code") != 0:
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pytest.exit(f"Critical error in add model provider: {add_provider_res.get('message')}")
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add_instance_api = HOST_ADDRESS + "/api/v1/providers/ZHIPU-AI/instances"
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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": ""})
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add_instance_res = add_instance_response.json()
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if add_instance_res.get("code") != 0:
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pytest.exit(f"Critical error in add model instance: {add_instance_res.get('message')}")
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add_success = get_added_models(auth, "ZHIPU-AI")
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if not add_success:
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pytest.exit("Critical error in check added model: add model failed")
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@pytest.fixture(scope="session", autouse=True)
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def set_tenant_info(get_auth):
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auth = get_auth
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if not get_added_models(auth, "ZHIPU-AI"):
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try:
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add_model_instance(auth)
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except Exception as e:
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pytest.exit(f"Error in set_tenant_info: {str(e)}")
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url = HOST_ADDRESS + "/api/v1/models/default"
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authorization = {"Authorization": get_auth}
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# set chat model
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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"})
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llm_res = set_default_llm_response.json()
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if llm_res.get("code") != 0:
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raise Exception(llm_res.get("message"))
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# set embedding model
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set_default_embedding_response = requests.patch(
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url=url, headers=authorization, json={"model_provider": "Builtin", "model_instance": "Local", "model_type": "embedding", "model_name": "BAAI/bge-small-en-v1.5"}
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)
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embd_res = set_default_embedding_response.json()
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if embd_res.get("code") != 0:
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raise Exception(embd_res.get("message"))
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# set image to text model
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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"})
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img2txt_res = set_default_img2txt_response.json()
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if img2txt_res.get("code") != 0:
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raise Exception(img2txt_res.get("message"))
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@@ -0,0 +1,115 @@
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#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
|
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# You may obtain a copy of the License at
|
||||
#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
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#
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import os
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import requests
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HOST_ADDRESS = os.getenv("HOST_ADDRESS", "http://127.0.0.1:9380")
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API_VERSION = "v1"
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DATASETS_API_URL = f"/api/{API_VERSION}/datasets"
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DATASET_NAME_LIMIT = 128
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def create_dataset(auth, payload=None):
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url = f"{HOST_ADDRESS}{DATASETS_API_URL}"
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res = requests.post(url=url, headers={"Content-Type": "application/json"}, auth=auth, json=payload)
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return res.json()
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def list_dataset(auth, params=None):
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url = f"{HOST_ADDRESS}{DATASETS_API_URL}"
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res = requests.get(url=url, headers={"Content-Type": "application/json"}, auth=auth, params=params)
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return res.json()
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def rm_dataset(auth, dataset_ids):
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url = f"{HOST_ADDRESS}{DATASETS_API_URL}"
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res = requests.delete(url=url, headers={"Content-Type": "application/json"}, auth=auth, json={"ids": dataset_ids})
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return res.json()
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def update_dataset(auth, dataset_id, payload=None):
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url = f"{HOST_ADDRESS}{DATASETS_API_URL}/{dataset_id}"
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res = requests.put(url=url, headers={"Content-Type": "application/json"}, auth=auth, json=payload)
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return res.json()
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def upload_file(auth, dataset_id, path):
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authorization = {"Authorization": auth}
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url = f"{HOST_ADDRESS}/v1/document/upload"
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json_req = {
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"kb_id": dataset_id,
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}
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file = {"file": open(f"{path}", "rb")}
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res = requests.post(url=url, headers=authorization, files=file, data=json_req)
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return res.json()
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def list_document(auth, dataset_id):
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authorization = {"Authorization": auth}
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url = f"{HOST_ADDRESS}/v1/document/list?id={dataset_id}"
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json = {}
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res = requests.post(url=url, headers=authorization, json=json)
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return res.json()
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def get_docs_info(auth, dataset_id, doc_ids=None, doc_id=None):
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"""
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Get document information by IDs.
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Args:
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auth: Authorization header
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dataset_id: Dataset ID
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doc_ids: List of document IDs (use for multiple) - exclusive with doc_id
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doc_id: Single document ID (use for one) - exclusive with doc_ids
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Raises:
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ValueError: If both doc_id and doc_ids are provided
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"""
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# Validate that id and ids are not used together
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if doc_id and doc_ids:
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raise ValueError("Cannot use both 'id' and 'ids' parameters at the same time.")
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authorization = {"Authorization": auth}
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params = {}
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if doc_ids:
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# Multiple IDs
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for id in doc_ids:
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params.append(("ids", id))
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elif doc_id:
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# Single ID
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params["id"] = doc_id
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# Use /api/v1 prefix for dataset API
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url = f"{HOST_ADDRESS}/api/v1/datasets/{dataset_id}/documents"
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res = requests.get(url=url, headers=authorization, params=params)
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return res.json()
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def parse_docs(auth, doc_ids):
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authorization = {"Authorization": auth}
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json_req = {"doc_ids": doc_ids, "run": 1}
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url = f"{HOST_ADDRESS}/api/v1/documents/ingest"
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res = requests.post(url=url, headers=authorization, json=json_req)
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return res.json()
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def parse_file(auth, document_id):
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pass
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@@ -0,0 +1,20 @@
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#
|
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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.
|
||||
#
|
||||
|
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|
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def test_get_email(get_email):
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print("\nEmail account:", flush=True)
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print(f"{get_email}\n", flush=True)
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@@ -0,0 +1,74 @@
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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
|
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from common import list_document, get_docs_info, parse_docs
|
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from time import sleep
|
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from timeit import default_timer as timer
|
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|
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def test_parse_txt_document(get_auth):
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# create dataset
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res = create_dataset(get_auth, {"name": "test_parse_txt_document"})
|
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assert res.get("code") == 0, f"{res.get('message')}"
|
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# list dataset
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page_number = 1
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dataset_list = []
|
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dataset_id = None
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while True:
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res = list_dataset(get_auth, {"page": page_number, "page_size": 150})
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data = res.get("data")
|
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if isinstance(data, dict):
|
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data = data.get("kbs", [])
|
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for item in data:
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dataset_id = item.get("id")
|
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dataset_list.append(dataset_id)
|
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if len(dataset_list) < page_number * 150:
|
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break
|
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page_number += 1
|
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|
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filename = "ragflow_test.txt"
|
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res = upload_file(get_auth, dataset_id, f"../test_sdk_api/test_data/{filename}")
|
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assert res.get("code") == 0, f"{res.get('message')}"
|
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|
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res = list_document(get_auth, dataset_id)
|
||||
|
||||
doc_id_list = []
|
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for doc in res["data"]["docs"]:
|
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doc_id_list.append(doc["id"])
|
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|
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res = get_docs_info(get_auth, dataset_id, doc_ids=doc_id_list)
|
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print(doc_id_list)
|
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doc_count = len(doc_id_list)
|
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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")
|
||||
@@ -0,0 +1,198 @@
|
||||
#
|
||||
# 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")
|
||||
Reference in New Issue
Block a user