我正在尝试使用 celerybeat 和 docker 为我的 Flask 应用程序运行定期 celery 任务。但是,当我运行容器时,出现以下错误:
Removing corrupted schedule file 'celerybeat-schedule': error(22, 'Invalid argument')
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/kombu/utils/objects.py", line 42, in __get__
return obj.__dict__[self.__name__]
KeyError: 'scheduler'
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我在我的内部定义了我的节拍调度程序,settings.py如下所示:
CELERYBEAT_SCHEDULE = {
'fetch-expensify-reports': {
'task': 'canopact.blueprints.carbon.tasks.fetch_reports',
'schedule': 10.0
}
}
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此配置被传递到create_celery_app我的文件中的函数中app.py:
def create_celery_app(app=None):
"""
Create a new Celery object and tie together the Celery config to the app's
config. Wrap all tasks in the context of the application.
:param app: …Run Code Online (Sandbox Code Playgroud) var feature = {
"type": "feature",
"properties": {
"style": {
"color": "#004070",
"weight": 4,
"opacity": 1
}
},
"geometry": {
"type": "MultiPoint",
"coordinates": [[
[0.25, 51.47],
[0.26, 51.47],
[0.27, 51.47]
]]
}
};
var geojsonLayer = new L.GeoJSON(feature);
map.addLayer(geojsonLayer);
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我正在尝试在地图上显示以上三点。为什么标记不出现?
这是我第一次尝试使用 pyodbc 连接到 docker 映像中的 Azure SQL 数据库。我的 Dockerfile 如下所示:
# the base image
FROM python:3
WORKDIR /usr/src/app
COPY requirements.txt ./
COPY music_trends.py ./
# install SQL Server drivers
RUN apt-get update
RUN apt-get update && ACCEPT_EULA=Y apt-get install -y msodbcsql unixodbc-dev
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD [ "python", "./music_trends.py" ]
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这会抛出错误消息:
E: Unable to locate package msodbcsql
The command '/bin/sh -c apt-get update && ACCEPT_EULA=Y apt-get install -y msodbcsql unixodbc-dev' returned a non-zero code: …Run Code Online (Sandbox Code Playgroud) 我试图在一个足球场的 matplotlib 图上叠加一个热图。
这是由下面的代码块创建的 matplotlib 音高的图像:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib.patches as plt_p
import numpy as np
def draw_pitch(ax):
# size of the pitch is 120, 80
#Create figure
#Pitch Outline & Centre Line
plt.plot([0,0],[0,80], color="black")
plt.plot([0,120],[80,80], color="black")
plt.plot([120,120],[80,0], color="black")
plt.plot([120,0],[0,0], color="black")
plt.plot([60,60],[0,80], color="black")
#Left Penalty Area
plt.plot([14.6,14.6],[57.8,22.2],color="black")
plt.plot([0,14.6],[57.8,57.8],color="black")
plt.plot([0,14.6],[22.2,22.2],color="black")
#Right Penalty Area
plt.plot([120,105.4],[57.8,57.8],color="black")
plt.plot([105.4,105.4],[57.8,22.5],color="black")
plt.plot([120, 105.4],[22.5,22.5],color="black")
#Left 6-yard Box
plt.plot([0,4.9],[48,48],color="black")
plt.plot([4.9,4.9],[48,32],color="black")
plt.plot([0,4.9],[32,32],color="black")
#Right 6-yard Box
plt.plot([120,115.1],[48,48],color="black")
plt.plot([115.1,115.1],[48,32],color="black")
plt.plot([120,115.1],[32,32],color="black")
#Prepare Circles …Run Code Online (Sandbox Code Playgroud) 我正在尝试将以下Leaflet.js滑块添加到我的地图中:https : //github.com/Eclipse1979/leaflet-slider
我最初只是在安装Carto时安装了传单
<!-- cartodb.js comes with Leaflet @0.7 and jQuery -->
<link rel="stylesheet" href="http://libs.cartocdn.com/cartodb.js/v3/3.15/themes/css/cartodb.css" />
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但是,当我尝试安装更高版本的Leaflet以使用Slider时,出现以下类型错误:
TypeError: L.StamenTileLayer is not a constructor
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我尝试使用快速入门指南安装Leaflet:
<!-- cartodb.js comes with Leaflet @0.7 and jQuery -->
<link rel="stylesheet" href="http://libs.cartocdn.com/cartodb.js/v3/3.15/themes/css/cartodb.css" />
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并直接从插件主目录安装文件
<link rel="stylesheet" href="leaflet.css">
<link rel="stylesheet" href="example.css">
<link rel="stylesheet" href="leaflet-slider.css">
<script src="leaflet.js"></script>
<script src="leaflet-slider.js"></script>
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两种情况都会导致相同的错误。我使用以下内容加载雄蕊层:
var map = L.map('map').setView([51.47, 0.25], 10);
map.on('click', onMapClick);
//create a tile layer for our toner basemap
var tonerLayer = new L.StamenTileLayer("toner");
map.addLayer(tonerLayer);
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我使用以下代码添加了微调器:
slider = L.control.slider(function(value) …Run Code Online (Sandbox Code Playgroud) python ×3
docker ×2
leaflet ×2
azure ×1
cartodb ×1
celery ×1
celerybeat ×1
d3.js ×1
flask ×1
geojson ×1
javascript ×1
matplotlib ×1
pandas ×1
pyodbc ×1
python-3.x ×1
seaborn ×1
stamen-maps ×1