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python - 我如何只能使用 python 脚本从 json api 接收来自选定序列号的数据

转载 作者:行者123 更新时间:2023-11-28 18:00:57 24 4
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我怎样才能只接收来自选定序列号的数据或者添加要排除的序列号列表?ie)"serialNumber": "121718037628", 现在已经死了大约2个月了或者可能会自动排除长时间未更新的数据使用“lastReportDate”:1549920259,

使用 prometheus 抓取元数据

然后 enphase 微逆变器 Controller 的流看起来像这样 http://envoy/api/v1/production/inverters (本地网络)

[
{
"serialNumber": "121718037628",
"lastReportDate": 1549920259,
"devType": 1,
"lastReportWatts": 18,
"maxReportWatts": 18
},
{
"serialNumber": "121718037534",
"lastReportDate": 1555635154,
"devType": 1,
"lastReportWatts": 108,
"maxReportWatts": 187
},
{
"serialNumber": "121718037683",
"lastReportDate": 1555635148,
"devType": 1,
"lastReportWatts": 117,
"maxReportWatts": 197
},

我试过在

中添加这个
ignore_list = ['121718037628']
for pattern in ignore_list:
if fnmatch( pattern):
should_ignore = True

并尝试了

[f for f in serial if not any(a in f.split() for a in faultyunit)]

这是原始的python代码

#!/usr/bin/env python -f

import os
import time
import json
import requests
import threading
from requests.auth import HTTPDigestAuth
from prometheus_client import start_http_server, Gauge


host = os.getenv('ENVOY_HOST')
password = os.getenv('ENVOY_PASS')

user = 'installer'
auth = HTTPDigestAuth(user, password)
marker = b'data: '


serials = {
121718037663: '#1',
121718037534: '#1',
121718037513: '#1',
121718037414: '#1',
121718037683: '#1',
121718037593: '',
121718037695: '#1',
121718037872: '#1',
121718037601: '#1',
121718037876: '#2',
121718037698: '#2',
121718037881: '#2',
121718037584: '#2',
121718037703: '#2',

}


stream_gauges = {
'p': Gauge('meter_active_power_watts', 'Active Power', ['type',
'phase']),
'q': Gauge('meter_reactive_power_watts', 'Reactive Power',
['type', 'phase']),
's': Gauge('meter_apparent_power_watts', 'Apparent Power',
['type', 'phase']),
'v': Gauge('meter_voltage_volts', 'Voltage', ['type', 'phase']),
'i': Gauge('meter_current_amps', 'Current', ['type', 'phase']),
'f': Gauge('meter_frequency_hertz', 'Frequency', ['type', 'phase']),
'pf': Gauge('meter_power_factor_ratio', 'Power Factor', ['type', 'phase']),
}

production_gauges = {
'activeCount': Gauge('production_active_count', 'Active Count', ['type']),
'wNow': Gauge('power_now_watts', 'Active Count', ['type']),
'whToday': Gauge('production_today_watthours', 'Total production today', ['type']),
'whLastSevenDays': Gauge('production_7days_watthours', 'Total production last seven days', ['type']),
'whLifetime': Gauge('production_lifetime_watthours', 'Total production lifetime', ['type']),
}

consumption_gauges = {
'wNow': Gauge('consumption_now_watts', 'Active Count', ['type']),
'whToday': Gauge('consumption_today_watthours', 'Total consumption today', ['type']),
'whLastSevenDays': Gauge('consumption_7days_watthours', 'Total consumption last seven days', ['type']),
'whLifetime': Gauge('consumption_lifetime_watthours', 'Total consumption lifetime', ['type']),
}

inverter_gauges = {
'last': Gauge('inverter_last_report_watts', 'Last reported watts', ['serial', 'location']),
'max': Gauge('inverter_max_report_watts', 'Max reported watts', ['serial', 'location']),
}


def scrape_stream():
while True:
try:
url = 'http://%s/stream/meter' % host
stream = requests.get(url, auth=auth, stream=True, timeout=5)
for line in stream.iter_lines():
if line.startswith(marker):
data = json.loads(line.replace(marker, b''))
print(data)
for meter_type in ['production', 'net-consumption', 'total-consumption']:
for phase in ['ph-a', 'ph-b']:
for key, value in data.get(meter_type, {}).get(phase, {}).items():
if key in stream_gauges:

stream_gauges[key].labels(type=meter_type, phase=phase).set(value)
except requests.exceptions.RequestException as e:
print('Exception fetching stream data: %s' % e)
time.sleep(5)


def scrape_production_json():
url = 'http://%s/production.json' % host
data = requests.get(url).json()
production = data['production']
print(production)
for each in production:
mtype = each['type']
for key in ['activeCount', 'wNow', 'whLifetime', 'whToday', 'whLastSevenDays']:
value = each.get(key)
if value is not None:
production_gauges[key].labels(type=mtype).set(value)
consumption = data['consumption']
print(consumption)
for each in consumption:
mtype = each['measurementType']
for key in ['wNow', 'whLifetime', 'whToday', 'whLastSevenDays']:
value = each.get(key)
if value is not None:
consumption_gauges[key].labels(type=mtype).set(value)



def scrape_inverters():
url = 'http://%s/api/v1/production/inverters' % host
data = requests.get(url, auth=auth).json()
print(data)
for inverter in data:
serial = int(inverter['serialNumber'])
location = serials.get(serial, '')
inverter_gauges['last'].labels(serial=serial,
location=location).set(inverter['lastReportWatts'])
inverter_gauges['max'].labels(serial=serial,
location=location).set(inverter['maxReportWatts'])


def main():
start_http_server(8000)
stream_thread = threading.Thread(target=scrape_stream)
stream_thread.setDaemon(True)
stream_thread.start()
while True:
try:
scrape_production_json()
scrape_inverters()
except Exception as e:
print('Exception fetching scrape data: %s' % e)
time.sleep(60)


if __name__ == '__main__':
main()

我试过添加这个

}

ignorelist = {
121718037628,
}

for inverter in data:
if inverter['serialNumber'] in ignorelist:
continue
serial = int(inverter['serialNumber'])

然后它会跳过所有的反相器

也试过这种方法

json_response = [
{
}
]

但不确定如何获取它从 API 中读取的内容

ignore_set = {'121718037628',} 

for inverter in json_response:
if inverter['serialNumber'] not in ignore_set:
print(inverter)

终于解决了,感谢大家的帮助

ignorelist = {
'121718037628','121718037534'
}

for inverter in data:
if inverter['serialNumber'] not in ignorelist:
print(inverter)
serial = int(inverter['serialNumber'])
location = serials.get(serial, '')

最佳答案

ignorelist = {
'121718037628','121718037534'
}

for inverter in data:
if inverter['serialNumber'] not in ignorelist:
print(inverter)
serial = int(inverter['serialNumber'])
location = serials.get(serial, '')

关于python - 我如何只能使用 python 脚本从 json api 接收来自选定序列号的数据,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/55756201/

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