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help_function.py
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help_function.py
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'''
Michel Nzikou @UWA-MinEx CRC Perth, October 2022
This function create a help dictionary library:
'''
import os
import json
#
BASE_DIR = os.path.dirname(__file__)
help_config_path = str(BASE_DIR)+'/help_config.json'
def welcome_msg():
'''
This welcome_msg is used to guide the user on how to use the plugin.
'''
startup_msg = { welcome_msg:":::::::::::: Welcome to Loop Processor v0.3 ::::::::::::\n \n Below is your user guideline infos: \n \n\n\n 1--> Define your Project Directory \n \n 2--> Load data by clicking: \n \n ** Geology \n \n ** Fault \n \n ** Structure \n \n ** DTM \n \n Note that the click order is not important. \n \n 3--> Save Config File \n \n 4--> Run map2loop \n \n 5--> View map2loop outputs \n \n 6--> Run LoopStructural"
}
return startup_msg[welcome_msg]
def layer_msg(layer):
'''
This is used to guide the user on how to load the geol layer.
# Qgis: Select from qgis layer panel
# Aus : Automatically select the GA webserver portal
# File: Let you select your dtm file from any folder
# Http: Let you select your webserver portal
'''
if layer=='DTMButton':
layer_help = {layer_msg: "Load your raster layer using the below options: \n \n\n\n 1--> Qgis: From loaded layers of qgis layer panel \n\n 2--> Aus : From Goescience Australia server \n \n 3--> File: From any folder into your local machine \n \n 4--> Http: From your own webserver portal"
}
else:
layer_help= {layer_msg: "Load your vector layer using the below options: \n \n\n\n 1--> Qgis: From loaded layers of qgis layer panel \n \n 2--> File: From any folder into your local machine"
}
return layer_help[layer_msg]
def save_config_msg():
'''
This is used to guide the user on how to save and create the configuration file.
'''
config_help= {save_config_msg: "Create your python and json config file with the below options: \n \n\n\n 1--> If not loaded, select the source path \n\n 2--> Click <Save Config File>"
}
return config_help[save_config_msg]
def retry_msg():
'''
This is used to guide the user on how to save and create the configuration file.
'''
retry_help= {retry_msg: " \n \n\n\n \n \n\n\n \n \n\n\n All Features have been reset. \n \n Load your data! "
}
return retry_help[retry_msg]
def folder_msg():
'''
This show the loading project folder path.
'''
load_project_folder= {folder_msg: " \n\n Loading the project folder path........> "
}
return load_project_folder[folder_msg]
def sort_layer_param(col_list,id,layerobjectName):
'''
This function look for existing layer parameter from the help_config file.
If the given layer column ID exist in the help config param, then it is pushed upfront of the list
'''
# Here we define the info that are attached to the layer associated to individual Qpush button such as:
# Geol...>[Formation*,Group, Supergroup, Description, Fm code, Rocktype 1, Rocktype 2, Polygon ID, Min Age, Max Age ]
# uniqueID[]
with open(help_config_path) as complex_data:
data = json.load(complex_data)
if layerobjectName=='StructButton':
col_of_interest=struct_sorter(data,id)
elif layerobjectName=='FaultButton':
col_of_interest=fault_sorter(data,id)
elif layerobjectName=='GeolButton':
col_of_interest=geol_sorter(data,id)
else:
pass
ncol_list=compare_two_list(col_list,col_of_interest)
return ncol_list
def compare_two_list(list1,list2):
'''
This code compare two lists and return sorted list based on common element
id: is the index of the first combobox elet
list1: column to be sorted
list2: column of the data base in which we match for common element
'''
try:
list_ref=[]
for idx,col_elt in enumerate(list1):
for col_dir_params in list2:
if col_elt.lower()==col_dir_params.lower():
list1.insert(0,list1.pop(idx))
list_ref.append(list1)
break
sorted_list=list_ref[0]
except:
sorted_list=list1
return sorted_list
def struct_sorter(data,id):
'''
This code sort layer data so that the best selection of the variable is printed nbre 1 on combobbox view
# data: layer data to show in the table widget
# id: combobox index id to be filled by the sorted columns name
'''
col_of_interest1 =[]
col_of_interest2 =[]
for majorkey in data:
if majorkey=='Orientations_dictionary':
if '_params' in str(data[majorkey].keys()):
col_of_interest1=[a for a in data[majorkey].values() if type(a) is list][0:4]
if majorkey=='ids_dictionary':
col_of_interest2.append([a for a in data[majorkey].values() if type(a) is list][0])
col_of_interest=col_of_interest1+col_of_interest2
if id==0:
col_of_interest=col_of_interest[0]
elif id==1:
col_of_interest=col_of_interest[1]
elif id==2:
col_of_interest=col_of_interest[2]
elif id==4:
col_of_interest=col_of_interest[3]
elif id==5:
col_of_interest=col_of_interest[4]
else:
pass
return col_of_interest
def fault_sorter(data,id):
'''
This code sort layer data so that the best selection of the variable is printed nbre 1 on combobbox view
# data: layer data to show in the table widget
# id: combobox index id to be filled by the sorted columns name
'''
col_of_interest1=[]
col_of_interest2=[]
for majorkey in data:
if majorkey=='Fault_and_folds':
if '_params' in str(data[majorkey].keys()):
col_of_interest1=[a for a in data[majorkey].values() if type(a) is list][2:]
elif majorkey=='ids_dictionary':
col_of_interest2.append([a for a in data[majorkey].values() if type(a) is list][0])
col_of_interest=col_of_interest1+col_of_interest2
if id==0:
col_of_interest=col_of_interest[0]
elif id==1:
col_of_interest=col_of_interest[1]
elif id==2:
col_of_interest=col_of_interest[2]
elif id==4:
col_of_interest=col_of_interest[3]
elif id==5:
col_of_interest =col_of_interest[4]
else:
pass
return col_of_interest
def geol_sorter(data,id):
'''
This code sort layer data so that the best selection of the variable is printed nbre 1 on combobbox view
# data: layer data to show in the table widget
# id: combobox index id to be filled by the sorted columns name
'''
col_of_interest1=[]
col_of_interest2=[]
col_of_interest3=[]
for majorkey in data:
if majorkey=='stratigraphy_dictionary':
if '_params' in str(data[majorkey].keys()):
col_of_interest1=[a for a in data[majorkey].values() if type(a) is list][:7]
elif majorkey=='ids_dictionary':
col_of_interest2.append([a for a in data[majorkey].values() if type(a) is list][0])
elif majorkey=='timing':
if '_params' in str(data[majorkey].keys()):
col_of_interest3=[a for a in data[majorkey].values() if type(a) is list ]
col_of_interest=col_of_interest1+col_of_interest2+col_of_interest3
for idx in range(10):
if id==idx:
col_of_interest=col_of_interest[idx]
return col_of_interest