Files
FastDeploy/tests/ce/server/test_completions.py
T
xjkmfa afb9f327ef 【CI case】for echo finish_reason text_after_process and raw_prediction check (#3630)
* Add ci case for min token and max token

* 【CI case】include total_tokens in the last packet of completion interface stream output

* echo&finish_reason&text_after_process&raw_prediction check

* echo&finish_reason&text_after_process&raw_prediction check

* echo&finish_reason&text_after_process&raw_prediction check

* echo&finish_reason&text_after_process&raw_prediction check

* echo&finish_reason&text_after_process&raw_prediction check

---------

Co-authored-by: xujing43 <xujing43@baidu.com>
2025-08-27 15:21:16 +08:00

235 lines
8.1 KiB
Python

#!/bin/env python3
# -*- coding: utf-8 -*-
# @author xujing43
# encoding=utf-8 vi:ts=4:sw=4:expandtab:ft=python
"""
Checking for /v1/completions parameters
"""
import json
from core import TEMPLATE, URL, build_request_payload, send_request
COMPLETIONS_URL = URL.replace("/v1/chat/completions", "/v1/completions")
def test_completion_total_tokens():
data = {
"prompt": "你是谁",
"stream": True,
"stream_options": {"include_usage": True, "continuous_usage_stats": True},
}
payload = build_request_payload(TEMPLATE, data)
resp = send_request(COMPLETIONS_URL, payload, stream=True)
last_data = None
for line in resp.iter_lines(decode_unicode=True):
if line.strip() == "data: [DONE]":
break
if line.strip() == "" or not line.startswith("data: "):
continue
line = line[len("data: ") :]
last_data = json.loads(line)
usage = last_data["usage"]
total_tokens = usage["completion_tokens"] + usage["prompt_tokens"]
assert "total_tokens" in usage, "total_tokens 不存在"
assert usage["total_tokens"] == total_tokens, "total_tokens计数不正确"
def test_completion_echo_stream_one_prompt_rti():
"""
测试echo参数在流式回复中,且设置为仅回复一个prompt
"""
data = {
"prompt": "水果的营养价值是如何的?",
"stream": True,
"stream_options": {"include_usage": True, "continuous_usage_stats": True},
"echo": True,
"max_tokens": 2,
"return_token_ids": True,
}
payload = build_request_payload(TEMPLATE, data)
resp = send_request(COMPLETIONS_URL, payload, stream=True)
last_data = None
# 初始化计数器
counter = 0
second_data = None
for line in resp.iter_lines(decode_unicode=True):
if line.strip() == "data: [DONE]":
break
if line.strip() == "" or not line.startswith("data: "):
continue
line = line[len("data: "):]
stream_data = json.loads(line)
counter += 1
if counter == 2: # 当计数器为2时,保存第二包数据
second_data = stream_data
break # 如果只需要第二包数据,可以在这里直接退出循环
text = second_data["choices"][0]["text"]
assert data["prompt"] in text, "echo回显不正确"
position = text.find(data["prompt"])
assert position == 0, "echo回显没有在靠前的位置"
def test_completion_echo_stream_one_prompt():
"""
测试echo参数在流式回复中,且设置为仅回复一个prompt
"""
data = {
"prompt": "水果的营养价值是如何的?",
"stream": True,
"stream_options": {"include_usage": True, "continuous_usage_stats": True},
"echo": True,
"max_tokens": 2
}
payload = build_request_payload(TEMPLATE, data)
resp = send_request(COMPLETIONS_URL, payload, stream=True)
last_data = None
# 初始化计数器
counter = 0
second_data = None
for line in resp.iter_lines(decode_unicode=True):
if line.strip() == "data: [DONE]":
break
if line.strip() == "" or not line.startswith("data: "):
continue
line = line[len("data: "):]
stream_data = json.loads(line)
counter += 1
if counter == 1: # 当计数器为1时,保存第一包数据
second_data = stream_data
break # 如果只需要第二包数据,可以在这里直接退出循环
text = second_data["choices"][0]["text"]
assert data["prompt"] in text, "echo回显不正确"
position = text.find(data["prompt"])
assert position == 0, "echo回显没有在靠前的位置"
def test_completion_echo_stream_more_prompt():
"""
测试echo参数在流式回复中,且设置为回复多个prompt
"""
data = {
"prompt": ["水果的营养价值是如何的?","水的化学式是什么?"],
"stream": True,
"stream_options": {"include_usage": True, "continuous_usage_stats": True},
"echo": True,
"max_tokens": 2,
"return_token_ids": True
}
payload = build_request_payload(TEMPLATE, data)
resp = send_request(COMPLETIONS_URL, payload, stream=True)
last_data = None
# 初始化计数器
counter = 0
second_data = None
# 初始化字典来存储每个index的第二包数据
second_data_by_index = {0: None, 1: None}
# 初始化字典来记录每个index的包计数
packet_count_by_index = {0: 0, 1: 0}
for line in resp.iter_lines(decode_unicode=True):
if line.strip() == "data: [DONE]":
break
if line.strip() == "" or not line.startswith("data: "):
continue
line = line[len("data: "):]
stream_data = json.loads(line)
for choice in stream_data.get("choices", []):
index = choice.get("index")
if index in packet_count_by_index:
packet_count_by_index[index] += 1
if packet_count_by_index[index] == 2:
second_data_by_index[index] = choice
if all(value is not None for value in second_data_by_index.values()):
break
text_0 = second_data_by_index[0]["text"]
text_1 = second_data_by_index[1]["text"]
assert data["prompt"][0] in text_0, "echo回显不正确"
assert data["prompt"][1] in text_1, "echo回显不正确"
position_0 = text_0.find(data["prompt"][0])
assert position_0 == 0, "prompt[0]的echo回显没有在靠前的位置"
position_1 = text_1.find(data["prompt"][1])
assert position_1 == 0, "prompt[1]的echo回显没有在靠前的位置"
def test_completion_echo_one_prompt():
"""
测试echo参数在非流式回复中,且设置为仅发送一个prompt
"""
data = {
"stream": False,
"prompt": "水果的营养价值是如何的?",
"echo": True,
"max_tokens": 100,
}
payload = build_request_payload(TEMPLATE, data)
response = send_request(COMPLETIONS_URL, payload)
response = response.json()
text = response["choices"][0]["text"]
assert data["prompt"] in text, "echo回显不正确"
position = text.find(data["prompt"])
assert position == 0, "echo回显没有在靠前的位置"
def test_completion_echo_more_prompt():
"""
测试echo参数在非流式回复中,且设置为发送多个prompt
"""
data = {
"stream": False,
"prompt": ["水果的营养价值是如何的?","水的化学式是什么?"],
"echo": True,
"max_tokens": 100
}
payload = build_request_payload(TEMPLATE, data)
response = send_request(COMPLETIONS_URL, payload).json()
text_0 = response["choices"][0]["text"]
text_1 = response["choices"][1]["text"]
assert data["prompt"][0] in text_0, "echo回显不正确"
assert data["prompt"][1] in text_1, "echo回显不正确"
position_0 = text_0.find(data["prompt"][0])
assert position_0 == 0, "prompt[0]的echo回显没有在靠前的位置"
position_1 = text_1.find(data["prompt"][1])
assert position_1 == 0, "prompt[1]的echo回显没有在靠前的位置"
def test_completion_finish_length():
"""
非流式回复中,因达到max_token截断检查finish_reasoning参数
"""
data = {
"stream": False,
"prompt": "水果的营养价值是如何的?",
"max_tokens": 10
}
payload = build_request_payload(TEMPLATE, data)
response = send_request(COMPLETIONS_URL, payload).json()
finish_reason = response["choices"][0]["finish_reason"]
assert finish_reason == "length", "达到max_token时,finish_reason不为length"
def test_completion_finish_stop():
"""
非流式回复中,模型自然回复完成,检查finish_reasoning参数
"""
data = {
"stream": False,
"prompt": "简短的回答我:苹果是水果吗?"
}
payload = build_request_payload(TEMPLATE, data)
response = send_request(COMPLETIONS_URL, payload).json()
finish_reason = response["choices"][0]["finish_reason"]
assert finish_reason == "stop", "无任何中介,finish_reason不为stop"