Langchain-Chatchat/chatchat-server/tests/api/test_stream_chat_api.py
2024-03-27 10:12:28 +08:00

88 lines
2.1 KiB
Python

import requests
import json
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent.parent))
from chatchat.configs import BING_SUBSCRIPTION_KEY
from chatchat.server.utils import api_address
from pprint import pprint
api_base_url = api_address()
def dump_input(d, title):
print("\n")
print("=" * 30 + title + " input " + "="*30)
pprint(d)
def dump_output(r, title):
print("\n")
print("=" * 30 + title + " output" + "="*30)
for line in r.iter_content(None, decode_unicode=True):
print(line, end="", flush=True)
headers = {
'accept': 'application/json',
'Content-Type': 'application/json',
}
data = {
"query": "请用100字左右的文字介绍自己",
"history": [
{
"role": "user",
"content": "你好"
},
{
"role": "assistant",
"content": "你好,我是人工智能大模型"
}
],
"stream": True,
"temperature": 0.7,
}
def test_chat_chat(api="/chat/chat"):
url = f"{api_base_url}{api}"
dump_input(data, api)
response = requests.post(url, headers=headers, json=data, stream=True)
dump_output(response, api)
assert response.status_code == 200
def test_knowledge_chat(api="/chat/knowledge_base_chat"):
url = f"{api_base_url}{api}"
data = {
"query": "如何提问以获得高质量答案",
"knowledge_base_name": "samples",
"history": [
{
"role": "user",
"content": "你好"
},
{
"role": "assistant",
"content": "你好,我是 ChatGLM"
}
],
"stream": True
}
dump_input(data, api)
response = requests.post(url, headers=headers, json=data, stream=True)
print("\n")
print("=" * 30 + api + " output" + "="*30)
for line in response.iter_content(None, decode_unicode=True):
data = json.loads(line[6:])
if "answer" in data:
print(data["answer"], end="", flush=True)
pprint(data)
assert "docs" in data and len(data["docs"]) > 0
assert response.status_code == 200