Question

我目前正在尝试设计一个烧瓶应用程序，通过使用套接字和芹菜来实现实时图表。我希望能够异步获取数据，然后通过套接字将其发送到客户端。然而，我收到错误：RuntimeError: Working outside of request context.我在套接字第一次连接时得到这个。

堆栈跟踪

Traceback (most recent call last):
  File "/Users/bev/.virtualenvs/flask_project/lib/python3.6/site-packages/celery/app/trace.py", line 374, in trace_task
    R = retval = fun(*args, **kwargs)
  File "/Users/bev/PycharmProjects/flask_project/celery_config.py", line 15, in __call__
    return TaskBase.__call__(self, *args, **kwargs)
  File "/Users/bev/.virtualenvs/flask_project/lib/python3.6/site-packages/celery/app/trace.py", line 629, in __protected_call__
    return self.run(*args, **kwargs)
  File "/Users/bev/PycharmProjects/flask_project/main.py", line 20, in async_data
    send(jsonify({"result": sample(range(101), 6)}))
  File "/Users/bev/.virtualenvs/flask_project/lib/python3.6/site-packages/flask/json.py", line 251, in jsonify
    if current_app.config['JSONIFY_PRETTYPRINT_REGULAR'] and not request.is_xhr:
  File "/Users/bev/.virtualenvs/flask_project/lib/python3.6/site-packages/werkzeug/local.py", line 347, in __getattr__
    return getattr(self._get_current_object(), name)
  File "/Users/bev/.virtualenvs/flask_project/lib/python3.6/site-packages/werkzeug/local.py", line 306, in _get_current_object
    return self.__local()
  File "/Users/bev/.virtualenvs/flask_project/lib/python3.6/site-packages/flask/globals.py", line 37, in _lookup_req_object
    raise RuntimeError(_request_ctx_err_msg)
RuntimeError: Working outside of request context.

This typically means that you attempted to use functionality that needed
an active HTTP request.  Consult the documentation on testing for
information about how to avoid this problem.

main.py

from flask import Flask, render_template, jsonify
from flask_socketio import SocketIO, send
from random import sample
from celery_config import make_celery


app = Flask(__name__)
app.config["SECRET_KEY"] = "thisisasecret"
socketio = SocketIO(app)

app.config.update(
    CELERY_BROKER_URL="amqp://localhost//",
    CELERY_RESULT_BACKEND="rpc://"
)
celery = make_celery(app)


@celery.task(name="main.async_data")
def async_data():
    # for now this is very small as an example
    # preferably batched to be done every 15 minutes.
    send(jsonify({"result": sample(range(101), 6)}))
    return True


@app.route("/")
def index():
    return render_template("chart.html")


@socketio.on("connect")
def handle_connection():
    async_data.delay()
    print("You are connected and we are getting your data")


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

celery_config.py

from celery import Celery


def make_celery(app):
    celery = Celery(app.import_name, backend=app.config['CELERY_RESULT_BACKEND'],
                    broker=app.config['CELERY_BROKER_URL'])
    celery.conf.update(app.config)
    TaskBase = celery.Task

    class ContextTask(TaskBase):
        abstract = True

        def __call__(self, *args, **kwargs):
            with app.app_context():
                return TaskBase.__call__(self, *args, **kwargs)

    celery.Task = ContextTask
    return celery

图表javascript

let chartConfig = {
    type: "line",
    data: {
        labels: ["Jan", "Feb", "Mar", "Apr", "May", "Jun"],
        datasets: [{
            label: "GOOG",
            data: [],
            borderColor: "rgba(22, 172, 65, 1)",
            borderWidth: 1,
            fill:false
        }]
    }
};

let socket = io.connect("http://" + document.domain + ':' + location.port);

socket.on("connect", function() {
    socket.send("Connected Socket off to get data");
});

socket.on("message", function (data) {
    chartConfig.data.datasets[0].data = data.result;
    let ctx = document.getElementById("myChart").getContext("2d");
    let myLineChart = new Chart(ctx, chartConfig)
});

Answer 1

原因仅在于Flask。我们做了一点测试（main.py）：

from random import sample
from flask import Flask, jsonify
from celery_config import make_celery

app = Flask(__name__)
app.config["SECRET_KEY"] = "thisisasecret"

app.config.update(
    CELERY_BROKER_URL="redis://localhost:6379/0", # or your broker
    CELERY_RESULT_BACKEND="redis://localhost:6379/0" # or your broker
)
celery = make_celery(app)

@celery.task(name="main.async_data")
def async_data():
    jsonify({"result": sample(range(101), 6)})
    return True

@app.route("/")
def index():
    async_data.delay()
    return 'test'

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

运行Celery和Flask应用程序，打开'/'路线。您将看到下一个错误：

RuntimeError：在请求上下文之外工作

工作原理。您使用jsonify方法。正如您在文档中看到的那样，它将JSON输出转换为带有application / json mimetype的Response对象。但Celery task对Flask的当前/主动响应一无所知。这只是异步代码/处理。如果你需要在芹菜中使用json，你可以使用任何lib（json，ujson，simplejson等）。

现在让我们将jsonify更改为json.dumps({"result": sample(range(101), 6)})。你会发现一切正常。

希望这有帮助。

Flask + Celery + socketio RuntimeError：在请求上下文之外工作

1 个答案: