Class and functions to access Hydstra data and tools
Project description
pyhydllp is a wrapper package that contains many Python functions for extracting data from Hydstra using the hydllp API. Detailed documentation about hydllp and relevant parameters can be found here: http://kisters.com.au/doco/hydllp.htm. You must have a Hydstra installation and license to run the functions.
Installation
Install via pip:
pip install pyhydllp
Or conda:
conda install -c mullenkamp pyhydllp
Requirements
At a minimum to access the base functions, pyhydllp requires a 32bit python installation and the Pandas package.
To access the MSSQL functionality, the pdsql package is required:
conda install -c mullenkamp pdsql
Usage
Most functions can be accessed and initialized from the hyd class:
from pyhydllp import hyd
ini_path = r'\\fileservices02\ManagedShares\Data\Hydstra\prod\hyd'
dll_path = r'\\fileservices02\ManagedShares\Data\Hydstra\prod\hyd\sys\run'
username = ''
password = ''
hydllp_filename = 'hydllp.dll'
hyaccess_filename = 'Hyaccess.ini'
hyconfig_filename = 'HYCONFIG.INI'
hyd1 = hyd(ini_path, dll_path, hydllp_filename=hydllp_filename,
hyaccess_filename=hyaccess_filename, hyconfig_filename=hyconfig_filename,
username=username, password=password)
Then all of the functions can be accessed via the newly initiated hyd1 object. The following example won’t work outside of ECan:
sites = [70105, 69607]
datasource = 'A'
varfrom = 100 # the 100 code is water level
varto = 140 # the 140 code is flow
qual_codes = [30, 20, 10 ,11, 21, 18] # It's best to specify as hydllp can return bad values for a qual_code 255
from_mod_date = '2018-01-01'
to_mod_date = '2018-03-26'
sites_var = hyd1.get_variable_list(sites)
print(sites_var)
ch1 = hyd1.ts_data_changes(varto=[varfrom], sites=sites, from_mod_date=from_mod_date,
to_mod_date=to_mod_date)
print(ch1)
tsdata = hyd1.get_ts_data(sites=sites, start=from_mod_date, end=to_mod_date,
varfrom=varfrom, varto=varto, datasource=datasource,
qual_codes=qual_codes)
print(tsdata)
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