50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
import time
|
|
import numpy as np
|
|
import pandas as pd
|
|
from influx import InfluxDBWrapper, NamedTuple, RegExp
|
|
|
|
DAY = 24 * 3600
|
|
|
|
token = "zqDbTcMv9UizfdTj15Fx_6vBetkM5mXN56EE9CiDaFsh7O2FFWZ2X4VwAAmdyqZr3HbpIr5ixRju07-oQmxpXw=="
|
|
|
|
db = InfluxDBWrapper('http://pc16392:8086', token, 'linse', 'curve-test')
|
|
|
|
print("""
|
|
qry([start], [stop], [interval=...,] [last=True,] [columns=[...],] [<tag>=<value>, ] ...)
|
|
crv([start], [stop], [mod.par], ['float'], [interval=...,] [add_prev=False,] [add_end=True,] [<tag>=<value>, ] ...)
|
|
""")
|
|
|
|
offset = (time.time() // 3600) * 3600
|
|
result = {}
|
|
|
|
|
|
def prt():
|
|
for i, (key, curve) in enumerate(result.items()):
|
|
if i > 5:
|
|
print('--- ...')
|
|
break
|
|
print('---', key, list(curve[0]._idx_by_name))
|
|
n = len(curve)
|
|
if n > 7:
|
|
curves = [curve[:3], None, curve[-3:]]
|
|
else:
|
|
curves = [curve]
|
|
for crv in curves:
|
|
if crv is None:
|
|
print('...')
|
|
else:
|
|
for row in crv:
|
|
print(round(row[0] - offset, db.timedig), row[1:])
|
|
|
|
|
|
def qry(*args, **kwds):
|
|
global result
|
|
result = db.query(*args, **kwds)
|
|
prt()
|
|
|
|
|
|
def crv(*args, **kwds):
|
|
global result
|
|
result = db.curves(*args, **kwds)
|
|
prt()
|