读取 CSV 文件并使用 Python 从每一行生成 HTTP POST

Question

我有一个 CSV 文件我想读取每一行并将 header 与值相匹配，以便向 Web 服务器发送 HTTP POST。这是 CSV 文件的示例：

"Item Name","OS","Serial Number","Asset Tag","Manufacturer","Model Name","Model Number","Category","IP","Status"
"MYCOMPUTER","Microsoft Windows 10 Pro","SOMETHING","SOMETHING","Dell","Latitude ","5420","Desktop","0.0.0.0","Ready"

这是我的 python 代码：

    import requests
import csv
import time
import pandas as pd

url = "https://develop.snipeitapp.com/api/v1/hardware"

headers= {
    "Accept": "application/json",
    "Content-Type": "application/json"
}


df = pd.read_csv('IMPORT.csv')
for idx, data in df.iterrows():
    payload = {
    "status_id", data['Status'],
    "model_id", data['Model Number'],
    "name", data['Item Name'],
    "model_name", data['Model Name'],
    "serial", data['Serial Number'],
    "os", data['OS'],
    "manufacturer", data['Manufacturer'],
    "ip", data['IP'],
    "Category", data['Category']
    
}
    response = requests.request("POST", url, json=payload, headers=headers)

但我想为 CSV 文件中的每一行创建一个 post，如果有意义的话，其值与每个有效载荷文件的 header 相匹配。

更新我在此 post 中更新了我的代码，现在我收到此错误：

TypeError: Object of type set is not JSON serializable

先谢谢了！最好的祝福 Max

Answer 1

您有多个选项，但都有一个共同点，您需要打开文件并遍历行。

您可以使用 csv 模块打开文件，使用 pandas 或仅通过打开语句：

HEADERS= {
    "Accept": "application/json",
    "Content-Type": "application/json"
}

1 Pandas

import pandas as pd
df = pd.read_csv('csv_path_here')
for idx, data in df.iterrows():
    payload = {'asset_tag', data['asset_tag'] .....}
    response = requests.request("POST", url, json=payload, headers=headers)
    # do stuff here

2 使用来自 here

的 csv

import csv
rows = []
with open("Salary_Data.csv", 'r') as file:
    csvreader = csv.reader(file)
    header = next(csvreader)
    for row in csvreader:
        rows.append(row)

#Iterate now over rows
For row in rows[1:]:
    payload = {'asset_tag', row[0] .....}
    response = requests.request("POST", url, json=payload, headers=headers)

Answer 2

您好，您需要一个数据结构来保存此用途的所有 csv 数据 Pandas。首先在 python 中安装 pandas 你可以通过以下命令安装它。

pip install pandas

之后导入该包并使用 pandas.read_csv 读取 csv 并将其放入 Pandas 数据框。现在遍历数据框并发出 post 请求。下面的示例代码。

import pandas as pd

df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})

for index, row in df.iterrows():
    print(row['c1'], row['c2'])

读取 CSV 文件并使用 Python 从每一行生成 HTTP POST

Read a CSV file and make HTTP POST from each line with Python

python

csv

post

sanitization

http