mirror of
https://git.mirrors.martin98.com/https://github.com/infiniflow/ragflow.git
synced 2025-04-21 13:40:00 +08:00
50b425cf89
### What problem does this PR solve? Test Cases ### Type of change - [x] Refactoring Co-authored-by: liuhua <10215101452@stu.ecun.edu.cn>
110 lines
3.9 KiB
Python
110 lines
3.9 KiB
Python
from ragflow import RAGFlow,Session
|
|
import time
|
|
HOST_ADDRESS = 'http://127.0.0.1:9380'
|
|
|
|
|
|
def test_create_session_with_success(get_api_key_fixture):
|
|
API_KEY = get_api_key_fixture
|
|
rag = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
kb = rag.create_dataset(name="test_create_session")
|
|
displayed_name = "ragflow.txt"
|
|
with open("./ragflow.txt", "rb") as file:
|
|
blob = file.read()
|
|
document = {"displayed_name": displayed_name, "blob": blob}
|
|
documents = []
|
|
documents.append(document)
|
|
doc_ids = []
|
|
docs = kb.upload_documents(documents)
|
|
for doc in docs:
|
|
doc_ids.append(doc.id)
|
|
kb.async_parse_documents(doc_ids)
|
|
time.sleep(60)
|
|
assistant = rag.create_chat(name="test_create_session", datasets=[kb])
|
|
assistant.create_session()
|
|
|
|
|
|
def test_create_conversation_with_success(get_api_key_fixture):
|
|
API_KEY = get_api_key_fixture
|
|
rag = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
kb = rag.create_dataset(name="test_create_conversation")
|
|
displayed_name = "ragflow.txt"
|
|
with open("./ragflow.txt","rb") as file:
|
|
blob = file.read()
|
|
document = {"displayed_name":displayed_name,"blob":blob}
|
|
documents = []
|
|
documents.append(document)
|
|
doc_ids = []
|
|
docs= kb.upload_documents(documents)
|
|
for doc in docs:
|
|
doc_ids.append(doc.id)
|
|
kb.async_parse_documents(doc_ids)
|
|
time.sleep(60)
|
|
assistant = rag.create_chat(name="test_create_conversation", datasets=[kb])
|
|
session = assistant.create_session()
|
|
question = "What is AI"
|
|
for ans in session.ask(question, stream=True):
|
|
pass
|
|
assert not ans.content.startswith("**ERROR**"), "Please check this error."
|
|
|
|
|
|
def test_delete_sessions_with_success(get_api_key_fixture):
|
|
API_KEY = get_api_key_fixture
|
|
rag = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
kb = rag.create_dataset(name="test_delete_session")
|
|
displayed_name = "ragflow.txt"
|
|
with open("./ragflow.txt","rb") as file:
|
|
blob = file.read()
|
|
document = {"displayed_name":displayed_name,"blob":blob}
|
|
documents = []
|
|
documents.append(document)
|
|
doc_ids = []
|
|
docs= kb.upload_documents(documents)
|
|
for doc in docs:
|
|
doc_ids.append(doc.id)
|
|
kb.async_parse_documents(doc_ids)
|
|
time.sleep(60)
|
|
assistant = rag.create_chat(name="test_delete_session", datasets=[kb])
|
|
session = assistant.create_session()
|
|
assistant.delete_sessions(ids=[session.id])
|
|
|
|
def test_update_session_with_name(get_api_key_fixture):
|
|
API_KEY = get_api_key_fixture
|
|
rag = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
kb = rag.create_dataset(name="test_update_session")
|
|
displayed_name = "ragflow.txt"
|
|
with open("./ragflow.txt","rb") as file:
|
|
blob = file.read()
|
|
document = {"displayed_name":displayed_name,"blob":blob}
|
|
documents = []
|
|
documents.append(document)
|
|
doc_ids = []
|
|
docs= kb.upload_documents(documents)
|
|
for doc in docs:
|
|
doc_ids.append(doc.id)
|
|
kb.async_parse_documents(doc_ids)
|
|
time.sleep(60)
|
|
assistant = rag.create_chat(name="test_update_session", datasets=[kb])
|
|
session = assistant.create_session(name="old session")
|
|
session.update({"name": "new session"})
|
|
|
|
|
|
def test_list_sessions_with_success(get_api_key_fixture):
|
|
API_KEY = get_api_key_fixture
|
|
rag = RAGFlow(API_KEY, HOST_ADDRESS)
|
|
kb = rag.create_dataset(name="test_list_session")
|
|
displayed_name = "ragflow.txt"
|
|
with open("./ragflow.txt","rb") as file:
|
|
blob = file.read()
|
|
document = {"displayed_name":displayed_name,"blob":blob}
|
|
documents = []
|
|
documents.append(document)
|
|
doc_ids = []
|
|
docs= kb.upload_documents(documents)
|
|
for doc in docs:
|
|
doc_ids.append(doc.id)
|
|
kb.async_parse_documents(doc_ids)
|
|
time.sleep(60)
|
|
assistant = rag.create_chat(name="test_list_session", datasets=[kb])
|
|
assistant.create_session("test_1")
|
|
assistant.create_session("test_2")
|
|
assistant.list_sessions() |