112 lines
3.2 KiB
Python
112 lines
3.2 KiB
Python
import json
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import sys
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from pathlib import Path
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import requests
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sys.path.append(str(Path(__file__).parent.parent.parent))
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from pprint import pprint
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from chatchat.server.utils import api_address
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api_base_url = api_address()
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api="/chat/chat/completions"
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url = f"{api_base_url}{api}"
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def dump_input(d, title):
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print("\n")
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print("=" * 30 + title + " input " + "=" * 30)
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pprint(d)
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def dump_output(r, title):
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print("\n")
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print("=" * 30 + title + " output" + "=" * 30)
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for line in r.iter_content(None, decode_unicode=True):
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print(line, end="", flush=True)
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headers = {
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"accept": "application/json",
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"Content-Type": "application/json",
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}
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def test_llm_chat():
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data = {
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"model": "qwen1.5-chat",
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"messages": [
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{"role": "user", "content": "你好"},
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{"role": "assistant", "content": "你好，我是人工智能大模型"},
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{"role": "user", "content": "请用100字左右的文字介绍自己"},
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],
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"stream": True,
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"temperature": 0.7,
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}
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dump_input(data, "LLM Chat")
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response = requests.post(url, headers=headers, json=data, stream=True)
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dump_output(response, "LLM Chat")
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assert response.status_code == 200
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def test_agent_chat():
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tools = list(requests.get(f"{api_base_url}/tools").json()["data"])
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data = {
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"model": "qwen1.5-chat",
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"messages": [
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{"role": "user", "content": "37+48=？"},
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],
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"stream": True,
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"temperature": 0.7,
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"tools": tools,
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}
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dump_input(data, "Agent Chat")
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response = requests.post(url, headers=headers, json=data, stream=True)
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dump_output(response, "Agent Chat")
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assert response.status_code == 200
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def test_kb_chat_auto():
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data = {
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"messages": [
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{"role": "user", "content": "如何提问以获得高质量答案"},
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],
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"model": "qwen1.5-chat",
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"tool_choice": "search_local_knowledgebase",
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"stream": True,
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}
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dump_input(data, "KB Chat (auto parameters)")
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response = requests.post(url, headers=headers, json=data, stream=True)
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print("\n")
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print("=" * 30 + "KB Chat (auto parameters)" + " output" + "=" * 30)
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for line in response.iter_content(None, decode_unicode=True):
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if line.startswith("data: "):
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data = json.loads(line[6:])
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pprint(data)
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assert response.status_code == 200
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def test_kb_chat_mannual():
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data = {
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"messages": [
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{"role": "user", "content": "如何提问以获得高质量答案"},
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],
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"model": "qwen1.5-chat",
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"tool_choice": "search_local_knowledgebase",
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"extra_body": {"tool_input": {"database": "samples", "query": "如何提问以获得高质量答案"}},
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"stream": True,
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}
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dump_input(data, "KB Chat (auto parameters)")
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response = requests.post(url, headers=headers, json=data, stream=True)
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print("\n")
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print("=" * 30 + "KB Chat (auto parameters)" + " output" + "=" * 30)
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for line in response.iter_content(None, decode_unicode=True):
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if line.startswith("data: "):
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data = json.loads(line[6:])
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pprint(data)
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assert response.status_code == 200
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