Question

我正在尝试运行一个简单的Flask API，但无法正常工作。我对Python的经验不是很丰富，因此发现错误并解决它非常具有挑战性。如果有人可以提供帮助，我将不胜感激。

系统设置为：

Ubuntu 18.04
具有python 3.7的Conda环境

这些是要求：

@Document(collection = Constants.SLOTS)
@Entity
public class FilledSlot extends AbstractMongoEntity {

    private String slotKey;
    private String slotValue;

    public FilledSlot(){
    }

    @PersistenceConstructor
    public FilledSlot(String slotKey, String slotValue){
        setSlotKey(slotKey);
        setSlotValue(slotValue);
    }

    public String getSlotKey() {
        return slotKey;
    }

    public void setSlotKey(String slotKey) {
        this.slotKey = slotKey;
    }

    public String getSlotValue() {
        return slotValue;
    }

    public void setSlotValue(String slotValue) {
        this.slotValue = slotValue;
    }

    @Override
    public String toString() {
        return "FilledSlot{" +
                "slotKey='" + slotKey + '\'' +
                ", slotValue='" + slotValue + '\'' +
                ", _id='" + _id + '\'' +
                '}';
    }
}

我的项目结构如下：

$ pip freeze

ansimarkup==1.4.0
asn1crypto==0.24.0
better-exceptions-fork==0.2.1.post6
certifi==2019.3.9
cffi==1.12.3
chardet==3.0.4
Click==7.0
colorama==0.4.1
cryptography==2.7
Flask==1.0.3
idna==2.8
itsdangerous==1.1.0
Jinja2==2.10.1
loguru==0.2.5
MarkupSafe==1.1.1
pycparser==2.19
Pygments==2.4.2
pyOpenSSL==19.0.0
PySocks==1.7.0
requests==2.22.0
six==1.12.0
urllib3==1.24.2
Werkzeug==0.15.4

这是app.py代码：

├── statsapi
│   ├── data_store.py
├── app.py
├── client.py
├── requirements.txt

data_store.py代码：

#!/usr/bin/env python

from flask import Flask, request, jsonify
from loguru import logger

from statsapi import data_store


app = Flask(__name__)


# Creating an endpoint
@app.route("/data", methods=["POST"])
def save_data():
    # setting log for this action
    logger.info(f"Saving data...")

    # transform content requisition to json
    content = request.get_json()

    # save in a module just the "data" field
    # The uuid of the data
    uuid = data_store.save(content["data"])

    # set log for las action
    logger.info(f"Data saved with UUID `{uuid}` successfully")

    # define information to be returned
    return jsonify({"status": "success",
                    "message": "data saved successfully",
                    "uuid": uuid})


if __name__ == "__main__":
    app.run(host="0.0.0.0", debug=True)

和client.py代码：

#!/usr/bin/env python

from uuid import uuid4


# Create a dictionary to keep things in memory
_in_memory_storage = dict()


# Save received data in memory giving an uuid
def save(data):
    data_uuid = uuid4()

    _in_memory_storage[data_uuid] = data

    return data_uuid

client.py应该向API发送一些数据，但是在调用时它会返回以下长错误消息：

#!/usr/bin/env python

import requests


def send(data):
    response = requests.post("http://localhost:5000/data", json={"data": data})

    print(response.json())


def main():
    send([1, 2, 3, 4])


if __name__ == "__main__":
    main()

正如我所说，我距离成为一名Python专家还很遥远，因此我将非常感谢您的帮助。

Answer 1

我认为这可能是您的端口已被其他应用程序提供服务，请尝试更改烧瓶端口。

我在本地成功使用了你的代码

尝试这样的事情

main.py

import data_store
from flask import Flask, request, jsonify

app = Flask(__name__)


# Creating an endpoint
@app.route("/data", methods=["POST"])
def save_data():
    # setting log for this action
    print(f"Saving data...")

    # transform content requisition to json
    content = request.get_json()

    # save in a module just the "data" field
    # The uuid of the data
    uuid = data_store.save(content["data"])

    # set log for las action
    print(f"Data saved with UUID `{uuid}` successfully")

    # define information to be returned
    return jsonify({"status": "success",
                    "message": "data saved successfully",
                    "uuid": uuid})


if __name__ == "__main__":
    app.run(port=8000)

data_store.py

from uuid import uuid4


# Create a dictionary to keep things in memory
_in_memory_storage = dict()


# Save received data in memory giving an uuid
def save(data):
    data_uuid = uuid4()

    _in_memory_storage[data_uuid] = data

    print(f"Cached value => {_in_memory_storage}")

    return data_uuid

client.py

import requests


def send(data):
    response = requests.post("http://localhost:8000/data", json={"data": data})

    print(response.json())


def main():
    send([1, 2, 3, 4])


if __name__ == "__main__":
    main()

当它像这样测试成功

→ python client.py
{'message': 'data saved successfully', 'status': 'success', 'uuid': '050b02c2-e67e-44f7-b6c9-450106d8b40e'}

烧瓶记录器

→ python main.py
 * Serving Flask app "main" (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://127.0.0.1:8000/ (Press CTRL+C to quit)
Saving data...
Cached value => {UUID('050b02c2-e67e-44f7-b6c9-450106d8b40e'): [1, 2, 3, 4]}
Data saved with UUID `050b02c2-e67e-44f7-b6c9-450106d8b40e` successfully
127.0.0.1 - - [06/Jun/2021 12:51:35] "POST /data HTTP/1.1" 200 -

Answer 2

可能与问题不完全相关，但它可能会帮助面临类似问题的人。

我遇到了类似的问题，但就我而言，这是因为 docker 容器。当容器 #1 使用请求 api 连接到容器 #2 时，它失败了，因为两个容器都不在一个网络中。

所以我将我的 docker-compose 文件修改为

networks:
  default:
    external: true
    name: <network_name>

使用请求连接时，请确保提前创建docker网络并将host修改为容器#2的docker服务名称。

所以使用 http://<docker_service_name>:8000/api 而不是 http://127.0.0.1:8000/api

Flask + requests API ConnectionRefusedError：[Errno 111]连接被拒绝

2 个答案: