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geekpi
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[#]: collector: (lujun9972)
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[#]: translator: (geekpi)
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[#]: reviewer: ( )
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[#]: publisher: ( )
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[#]: url: ( )
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[#]: subject: (Tracking the weather with Python and Prometheus)
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[#]: via: (https://opensource.com/article/19/4/weather-python-prometheus)
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[#]: author: (Moshe Zadka https://opensource.com/users/moshez)
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Tracking the weather with Python and Prometheus
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======
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Create a custom Prometheus integration to keep track of the biggest
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cloud provider of all: Mother Earth.
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![Tree clouds][1]
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Open source monitoring system [Prometheus][2] has integrations to track many types of time-series data, but if you want an integration that doesn't yet exist, it's easy to build one. An often-used example is a custom integration with a cloud provider that uses the provider's APIs to grab specific metrics. In this example, though, we will integrate with the biggest cloud provider of all: Earth.
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Luckily, the US government already measures the weather and provides an easy API for integrations. Getting the weather forecast for the next hour at Red Hat headquarters is simple.
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```
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import requests
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HOURLY_RED_HAT = "<https://api.weather.gov/gridpoints/RAH/73,57/forecast/hourly>"
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def get_temperature():
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result = requests.get(HOURLY_RED_HAT)
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return result.json()["properties"]["periods"][0]["temperature"]
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```
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Now that our integration with Earth is done, it's time to make sure Prometheus can understand what we are saying. We can use the [Prometheus Python library][3] to create a registry with one _gauge_ : the temperature at Red Hat HQ.
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```
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from prometheus_client import CollectorRegistry, Gauge
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def prometheus_temperature(num):
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registry = CollectorRegistry()
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g = Gauge("red_hat_temp", "Temperature at Red Hat HQ", registry=registry)
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g.set(num)
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return registry
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```
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Finally, we need to connect this to Prometheus in some way. That depends a little on the network topology for Prometheus: whether it is easier for Prometheus to talk to our service, or whether the reverse is easier.
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The first case is the one usually recommended, if possible, so we need to build a web server exposing the registry and then configure Prometheus to _scrape_ it.
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We can build a simple web server with [Pyramid][4].
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```
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from pyramid.config import Configurator
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from pyramid.response import Response
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from prometheus_client import generate_latest, CONTENT_TYPE_LATEST
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def metrics_web(request):
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registry = prometheus_temperature(get_temperature())
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return Response(generate_latest(registry),
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content_type=CONTENT_TYPE_LATEST)
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config = Configurator()
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config.add_route('metrics', '/metrics')
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config.add_view(metrics_web, route_name='metrics')
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app = config.make_wsgi_app()
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```
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This can be run with any Web Server Gateway Interface (WSGI) server. For example, we can use **python -m twisted web --wsgi earth.app** to run it, assuming we put the code in **earth.py**.
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Alternatively, if it is easier for our code to connect to Prometheus, we can push it to Prometheus's [Push gateway][5] periodically.
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```
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import time
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from prometheus_client import push_to_gateway
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def push_temperature(url):
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while True:
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registry = prometheus_temperature(get_temperature())
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push_to_gateway(url, "temperature collector", registry)
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time.sleep(60*60)
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```
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The URL is the one for the Push gateway; it often ends in **:9091**.
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Good luck building your own custom Prometheus integration so you can track all the things!
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--------------------------------------------------------------------------------
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via: https://opensource.com/article/19/4/weather-python-prometheus
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作者：[Moshe Zadka ][a]
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选题：[lujun9972][b]
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译者：[译者ID](https://github.com/译者ID)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://opensource.com/users/moshez
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[b]: https://github.com/lujun9972
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[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/life_tree_clouds.png?itok=b_ftihhP (Tree clouds)
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[2]: https://prometheus.io/
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[3]: https://github.com/prometheus/client_python
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[4]: https://trypyramid.com/
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[5]: https://github.com/prometheus/pushgateway
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@ -0,0 +1,97 @@
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[#]: collector: (lujun9972)
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[#]: translator: (geekpi)
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[#]: reviewer: ( )
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[#]: publisher: ( )
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[#]: url: ( )
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[#]: subject: (Tracking the weather with Python and Prometheus)
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[#]: via: (https://opensource.com/article/19/4/weather-python-prometheus)
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[#]: author: (Moshe Zadka https://opensource.com/users/moshez)
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使用 Python 和 Prometheus 跟踪天气
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======
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创建自定义 Prometheus 集成以跟踪最大的云提供者：地球母亲。
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![Tree clouds][1]
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开源监控系统 [Prometheus][2] 有跟踪多种类型的时间序列数据的集成，但如果不存在你想要的集成，那么很容易构建一个。一个经常使用的例子使用云提供商的自定义集成，它使用提供商的 API 抓取特定的指标。但是，在这个例子中，我们将与最大云提供商集成：地球。
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幸运的是，美国政府已经测量了天气并为集成提供了一个简单的 API。获取红帽总部下一个小时的天气预报很简单。
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```
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import requests
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HOURLY_RED_HAT = "<https://api.weather.gov/gridpoints/RAH/73,57/forecast/hourly>"
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def get_temperature():
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result = requests.get(HOURLY_RED_HAT)
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return result.json()["properties"]["periods"][0]["temperature"]
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```
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现在我们已经完成了与地球的整合，现在是确保 Prometheus 能够理解我们想要内容的时候了。我们可以使用 [Prometheus Python 库][3]中的 _gauge_ 创建一个注册：红帽总部的温度。
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```
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from prometheus_client import CollectorRegistry, Gauge
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def prometheus_temperature(num):
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registry = CollectorRegistry()
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g = Gauge("red_hat_temp", "Temperature at Red Hat HQ", registry=registry)
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g.set(num)
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return registry
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```
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最后，我们需要以某种方式将它连接到 Prometheus。这有点依赖 Prometheus 的网络拓扑：Prometheus 与我们的服务通信更容易，还是反向更容易。
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第一种是通常建议的情况，如果可能的话，我们需要构建一个公开注册入口的 Web 服务器，并配置 Prometheus _收刮_（scrape）它。
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我们可以使用 [Pyramid][4] 构建一个简单的 Web 服务器。
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```
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from pyramid.config import Configurator
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from pyramid.response import Response
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from prometheus_client import generate_latest, CONTENT_TYPE_LATEST
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def metrics_web(request):
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registry = prometheus_temperature(get_temperature())
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return Response(generate_latest(registry),
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content_type=CONTENT_TYPE_LATEST)
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config = Configurator()
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config.add_route('metrics', '/metrics')
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config.add_view(metrics_web, route_name='metrics')
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app = config.make_wsgi_app()
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```
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这可以使用任何 Web 网关接口 （WSGI） 服务器运行。例如，假设我们将代码放在 **earth.py** 中，我们可以使用 **python -m twisted web --wsgi earth.app** 来运行它。
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或者，如果我们的代码连接到 Prometheus 更容易，我们可以定期将其推送到 Prometheus 的[推送网关][5]。
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```
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import time
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from prometheus_client import push_to_gateway
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def push_temperature(url):
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while True:
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registry = prometheus_temperature(get_temperature())
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push_to_gateway(url, "temperature collector", registry)
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time.sleep(60*60)
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```
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URL 是推送网关的 URL。它通常以 **:9091** 结尾。
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祝你构建自定义 Prometheus 集成成功，以便跟踪一切！
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--------------------------------------------------------------------------------
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via: https://opensource.com/article/19/4/weather-python-prometheus
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作者：[Moshe Zadka ][a]
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选题：[lujun9972][b]
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译者：[译者ID](https://github.com/译者ID)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://opensource.com/users/moshez
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[b]: https://github.com/lujun9972
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[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/life_tree_clouds.png?itok=b_ftihhP (Tree clouds)
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[2]: https://prometheus.io/
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[3]: https://github.com/prometheus/client_python
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[4]: https://trypyramid.com/
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[5]: https://github.com/prometheus/pushgateway
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