Created
January 9, 2024 02:46
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Upload historical data from InfluxDB to mindergas.nl
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''' | |
Use an influxdb query like this to fetch the data and store it as `meterstanden.csv`: | |
``` | |
SELECT max("value") FROM "m3" WHERE ("entity_id"::tag = 'gas_consumption') AND $timeFilter GROUP BY time(1d) fill(linear) | |
``` | |
''' | |
import pandas as pd | |
import json | |
import requests | |
import progressbar | |
df = pd.read_csv('meterstanden.csv', names=['t', 'v'], header=1, index_col='t') | |
df.index = pd.to_datetime(df.index, unit='ms') | |
# df = df[df.index > '2023-08-20'] | |
df.dropna(inplace=True) | |
for (t, row) in progressbar.progressbar(df.iterrows(), max_value=len(df)): | |
# print(t, v) | |
data = dict(date=str(t.date()), reading=row.v) | |
requests.post('https://httpbin.org/post', data={'key': 'value'}) | |
response = requests.post( | |
'https://www.mindergas.nl/api/meter_readings', | |
headers={'Content-Type': 'application/json', 'AUTH-TOKEN': 'API_TOKEN'}, | |
data=json.dumps(data), | |
) | |
try: | |
response.raise_for_status() | |
except: | |
print(data) | |
print(f'Response: {response} :: {response.text!r}') | |
raise |
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