如何仅从选定的序列号接收数据 还是添加序列号列表以排除？ ie）“ serialNumber”：“ 121718037628”，已经死亡约2个月了 或自动排除长时间未更新的数据 使用“ lastReportDate”：1549920259，
使用普罗米修斯抓取元数据
然后来自同相微逆变器控制器的流看起来像这样 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
},
我尝试在
中添加此内容ignore_list = ['121718037628']
for pattern in ignore_list:
if fnmatch( pattern):
should_ignore = True
并尝试
[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()
并且我尝试添加此
}
ignorelist = {
121718037628,
}
for inverter in data:
if inverter['serialNumber'] in ignorelist:
continue
serial = int(inverter['serialNumber'])
但是它会跳过所有逆变器
也尝试过这种方法
json_response = [
{
}
]
但不确定如何从API读取内容
ignore_set = {'121718037628',}
for inverter in json_response:
if inverter['serialNumber'] not in ignore_set:
print(inverter)
最终解决了它，谢谢您的帮助
ignorelist = {
'121718037628','121718037534'
}
for inverter in data:
if inverter['serialNumber'] not in ignorelist:
print(inverter)
serial = int(inverter['serialNumber'])
location = serials.get(serial, '')
答案 0 :(得分：1)
ignorelist = {
'121718037628','121718037534'
}
for inverter in data:
if inverter['serialNumber'] not in ignorelist:
print(inverter)
serial = int(inverter['serialNumber'])
location = serials.get(serial, '')
答案 1 :(得分：0)
也许检查序列在忽略列表中，然后进一步跳过设备的处理
for inverter in data:
if inverter['serialNumber'] not in ignorelist:
serial = int(inverter['serialNumber'])