forked from EEBD_AI/wgz_forecast
21 lines
622 B
Python
21 lines
622 B
Python
|
import requests
|
|||
|
|
import pandas as pd
|
|||
|
|
import numpy as np
|
|||
|
|
# 这里使用的是load进行预测，可改(load/pv/water/carbon)
|
|||
|
|
url = "http://127.0.0.1:2467/load"
|
|||
|
|
data = {
|
|||
|
|
"inputs":(np.random.randn(24)*100).tolist()
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
response = requests.post(url, json=data)
|
|||
|
|
|
|||
|
|
print("Status Code:", response.status_code) # 打印状态码
|
|||
|
|
print("Response Content:", response.text) # 打印响应内容
|
|||
|
|
|
|||
|
|
if response.status_code == 200:
|
|||
|
|
try:
|
|||
|
|
print(response.json()) # 尝试解析 JSON
|
|||
|
|
except requests.exceptions.JSONDecodeError as e:
|
|||
|
|
print("JSON Decode Error:", e)
|
|||
|
|
else:
|
|||
|
|
print("Error:", response.status_code)
|