Usage

Usage#

Configuration-File#

Create a <configuration.yaml> file. You can use one of the samples provided for each instrument at the instrument page and customize it to you needs.

CLI#

run datalogger#
pyAtmosLogger -m log -p <configuration.yaml>
convert data to netCDF (run command or schedule it with cron)#
pyAtmosLogger -m convert -p <configuration.yaml>

Python#

[1]:
import import pyAtmosLogger.instruments.pyAtmosLogger_dummy_1 as instrumentClass
import yaml
[2]:
yamlString = """
instrument:
   instrumentFile: pyAtmosLogger_dummy_1.py
   samplingInterval: 60
attributes:
   title: "Test"
storage:
   csvStoragePath: "~/Desktop/dummy_data/csv/"
   DatePath: "%Y/%m/"
   csvFileName: "%Y%m%d_tower_random.csv"
   ncStoragePath: "~/Desktop/dummy_data/nc/"
   ncConversionDays: 1
"""
config = yaml.safe_load(yamlString)
[3]:
instrument = instrumentClass.pyAtmosLogger_dummy_1(config)
[3]:

2023-07-06 15:33:17: setup completed

[4]:
instrument.log()
[4]:

2023-07-06 15:35:11: logging started

2023-07-06 15:35:11: header created

[5]:
instrument.convertMultipleFiles()
[5]:

2023-07-06 13:31:25: converter started

2023-07-06 13:31:25: converting file: ~/Desktop/dummy_data/csv/2023/07/20230706_tower_random.csv

2023-07-06 13:31:25: converter finished