Add meteocat exporter #103
@@ -3,6 +3,7 @@
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{
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imports = [
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../module/slurm-exporter.nix
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../module/meteocat-exporter.nix
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./gpfs-probe.nix
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./nix-daemon-exporter.nix
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];
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@@ -110,6 +111,7 @@
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"127.0.0.1:9341" # Slurm exporter
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"127.0.0.1:9966" # GPFS custom exporter
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"127.0.0.1:9999" # Nix-daemon custom exporter
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"127.0.0.1:9929" # Meteocat custom exporter
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"127.0.0.1:${toString config.services.prometheus.exporters.blackbox.port}"
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];
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}];
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17
m/module/meteocat-exporter.nix
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17
m/module/meteocat-exporter.nix
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@@ -0,0 +1,17 @@
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{ config, lib, pkgs, ... }:
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with lib;
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{
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systemd.services."prometheus-meteocat-exporter" = {
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wantedBy = [ "multi-user.target" ];
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after = [ "network.target" ];
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serviceConfig = {
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Restart = mkDefault "always";
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PrivateTmp = mkDefault true;
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WorkingDirectory = mkDefault "/tmp";
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DynamicUser = mkDefault true;
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ExecStart = "${pkgs.meteocat-exporter}/bin/meteocat-exporter";
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};
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};
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}
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25
pkgs/meteocat-exporter/default.nix
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25
pkgs/meteocat-exporter/default.nix
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@@ -0,0 +1,25 @@
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{ python3Packages, lib }:
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python3Packages.buildPythonApplication rec {
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pname = "meteocat-exporter";
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version = "1.0";
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src = ./.;
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doCheck = false;
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build-system = with python3Packages; [
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setuptools
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];
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dependencies = with python3Packages; [
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beautifulsoup4
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lxml
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prometheus-client
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];
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meta = with lib; {
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description = "MeteoCat Prometheus Exporter";
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platforms = platforms.linux;
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};
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}
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54
pkgs/meteocat-exporter/meteocat-exporter
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54
pkgs/meteocat-exporter/meteocat-exporter
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@@ -0,0 +1,54 @@
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#!/usr/bin/env python3
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import time
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from prometheus_client import start_http_server, Gauge
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from bs4 import BeautifulSoup
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from urllib import request
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# Configuration -------------------------------------------
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meteo_station = "X8" # Barcelona - Zona Universitària
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listening_port = 9929
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update_period = 60 * 5 # Each 5 min
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# ---------------------------------------------------------
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metric_tmin = Gauge('meteocat_temp_min', 'Min temperature')
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metric_tmax = Gauge('meteocat_temp_max', 'Max temperature')
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metric_tavg = Gauge('meteocat_temp_avg', 'Average temperature')
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metric_srad = Gauge('meteocat_solar_radiation', 'Solar radiation')
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def update(st):
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url = 'https://www.meteo.cat/observacions/xema/dades?codi=' + st
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response = request.urlopen(url)
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data = response.read()
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soup = BeautifulSoup(data, 'lxml')
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table = soup.find("table", {"class" : "tblperiode"})
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rows = table.find_all('tr')
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row = rows[-1] # Take the last row
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rarias marked this conversation as resolved
Outdated
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row_data = []
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header = row.find('th')
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header_text = header.text.strip()
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row_data.append(header_text)
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for col in row.find_all('td'):
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row_data.append(col.text)
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try:
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# Sometimes it will return '(s/d)' and fail to parse
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metric_tavg.set(float(row_data[1]))
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metric_tmax.set(float(row_data[2]))
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metric_tmin.set(float(row_data[3]))
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metric_srad.set(float(row_data[10]))
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#print("ok: temp_avg={}".format(float(row_data[1])))
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except:
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print("cannot parse row: {}".format(row))
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metric_tavg.set(float("nan"))
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metric_tmax.set(float("nan"))
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metric_tmin.set(float("nan"))
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metric_srad.set(float("nan"))
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if __name__ == '__main__':
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start_http_server(port=listening_port, addr="localhost")
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while True:
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try:
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update(meteo_station)
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except:
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print("update failed")
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time.sleep(update_period)
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11
pkgs/meteocat-exporter/setup.py
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11
pkgs/meteocat-exporter/setup.py
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@@ -0,0 +1,11 @@
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#!/usr/bin/env python
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from setuptools import setup, find_packages
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setup(name='meteocat-exporter',
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version='1.0',
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# Modules to import from other scripts:
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packages=find_packages(),
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# Executables
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scripts=["meteocat-exporter"],
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)
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@@ -54,4 +54,5 @@ final: prev:
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});
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prometheus-slurm-exporter = prev.callPackage ./slurm-exporter.nix { };
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meteocat-exporter = prev.callPackage ./meteocat-exporter/default.nix { };
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}
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Reference in New Issue
Block a user
Seems that meteocat does not update the data in realtime (right now at 17:20 the last row is from 14:30). Also, the periods are of 30 minutes, so we will have duplicates.
Can we manually set the time of the gauge and check for duplicates?
Meteocat uses UTC time, so you need to add 2 hours to the website times to convert to Spain time. It is mostly realtime.
Meteocat samples the temp over 30 minutes, then computes the min/max/avg during ~5 minutes and then outputs the values on the table, so they have at most 40 min of delay as we retry every 5 minutes.
There are no duplicates per-se. We update the gauge as soon as we discover a new value. But prometheus will query the metrics every minute, so it will continue to read the same values for 30 min at least. This is fine as they have a very effective mechanism to store duplicates that only takes around 1 bit of information (see https://www.vldb.org/pvldb/vol8/p1816-teller.pdf section 4.1.2).