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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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