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UIComponent.py
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# ---
# jupyter:
# jupytext:
# formats: ipynb,py:light
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.4.2
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# ## General components
# +
# %%writefile C:\Anaconda\Lib\CropNBalUICompenents.py
import dash
from dash import dash_table
from dash import html
from dash import dcc
import plotly.graph_objects as go
import plotly.express as px
import datetime as dt
import pandas as pd
import numpy as np
from bisect import bisect_left, bisect_right
from jupyter_dash import JupyterDash
import dash_bootstrap_components as dbc
from dash.dependencies import Input, Output
import cufflinks as cf
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import copy
import ast
Positions = ['Previous_','Current_','Following_']
Actions = ["EstablishDate", "HarvestDate"]
CropParams = ['EndUse', 'Group','Colloquial Name', 'Type', 'Family', 'Genus', 'Specific epithet', 'Sub species',
'Typical Establish Stage', 'Typical Establish month', 'Typical Harvest Stage',
'Typical Harvest month', 'Typical Yield', 'Typical Yield Units',
'Yield type', 'Typical HI', 'HI Range',
'Moisture %', 'Typical Dressing Loss %', 'Typical Field Loss %', 'P Root', 'Max RD', 'A cover', 'rCover', 'k_ME',
'Nfixation', 'Root [N]', 'Stover [N]', 'Product [N]','Product [P]', 'Product [K]', 'Product [S]',
'Product [Ca]', 'Product [Mg]', 'Product [Na]', 'Product [Cl]',
'Stover [P]', 'Stover [K]', 'Stover [S]', 'Stover [Ca]', 'Stover [Mg]','Stover [Na]', 'Stover [Cl]']
CropConfigs = ["EndUse","Group","Crop","Type","SaleableYield","Units","FieldLoss","DressingLoss",
"MoistureContent","EstablishDate","EstablishStage","HarvestDate","HarvestStage",
"ResidueTreatment","EstablishN","DefoliationDates"]
Units = pd.DataFrame(index = ['t/ha','kg/ha'],data=[1000,1],columns=['toKG/ha'])
UnitsDropDown = [{'label':i,'value':Units.loc[i,'toKG/ha']} for i in Units.index]
Methods = ['Seed','Seedling','Vegetative','EarlyReproductive','MidReproductive','LateReproductive','Maturity','Late']
EstablishStageDropdown = [{'label':i,'value':i} for i in Methods[:2]]
HarvestStageDropdown = [{'label':i,'value':i} for i in Methods[2:]]
ResTreats = pd.DataFrame(index = ["None","Baled","Burnt","Grazed","Incorporated"],
data = [1.0,0.2,0.1,0.6,1.0], columns = ['propn'])
ResidueTreatDropdown = [{'label':i,'value':ResTreats.loc[i,'propn']} for i in ResTreats.index]
def splitprops(prop_ID,propExt):
prop_ID = prop_ID.replace(propExt,'')
return prop_ID.split('_')[0]+'_', prop_ID.split('_')[1]
def Generalcomponents():
# Read in Crop coefficients table and filter out nasty ones
CropCoefficients = pd.read_excel('C:\\GitHubRepos\\Overseer-testing\\CropCoefficients\\CropCoefficientTable.xlsx',skiprows=2, engine='openpyxl')
# Make lists of EndUse options
EndUseCatagories = CropCoefficients.loc[:,'EndUse'].drop_duplicates().dropna().values
EndUseCatagories.sort()
# Make some drop down lists
EndUseCatagoriesDropdown = [{'label':i,'value':i} for i in EndUseCatagories]
CropDropDown = [{'label':i,'value':i} for i in CropCoefficients.index]
# Read in weather data files
LincolnMet = pd.read_csv('C:\GitHubRepos\Weather\Broadfields\LincolnClean.met',delimiter = '\t')
LincolnMet.name = 'Lincoln'
GoreMet = pd.read_csv('C:\GitHubRepos\Weather\OtherLocations\GoreClean.met',delimiter = '\t')
GoreMet.name = 'Gore'
WhatatuMet = pd.read_csv('C:\GitHubRepos\Weather\OtherLocations\WhatatuClean.met',delimiter = '\t')
WhatatuMet.name = 'Napier'
PukekoheMet = pd.read_csv('C:\GitHubRepos\Weather\OtherLocations\PukekoheClean.met',delimiter = '\t')
PukekoheMet.name = 'Pukekohe'
#Load met files into dictionary
metFiles ={'Pukekohe':PukekoheMet,'Whatatu':WhatatuMet,'Lincoln':LincolnMet,'Gore':GoreMet}
## Function to calculate thermal time from temperature
def tt(x,b):
return max(0,x-b)
# Calculate thermal time for each met file and get date in correct format
for f in metFiles.keys():
metFiles[f].loc[:,'Date'] = pd.to_datetime(metFiles[f].loc[:,'Date'])
metFiles[f].loc[:,'tt'] = [tt(x,0) for x in metFiles[f].Temp]
metFiles[f].set_index('Date',inplace=True)
# Make a drop down list with met file options
MetDropDown = [{'label':i,'value':i} for i in metFiles.keys()]
MonthIndexs = pd.DataFrame(index = range(1,13),columns=['Name'],data=['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
return CropCoefficients, EndUseCatagoriesDropdown, metFiles, MetDropDown, MonthIndexs
def validateConfigs():
NotSet = 0
for pos in Positions+['field_']:
Config=pd.read_pickle(pos+"Config.pkl")
NotSet += Config.isnull().sum()
if NotSet > 0:
return html.Button("Update NBalance",id="RefreshButton",disabled=True,style={'width':'100%','height':'150%',"font-size":"150%"})
else:
return html.Button("Update NBalance",id="RefreshButton",disabled=False,style={'width':'100%','height':'150%',"font-size":"150%"})
def updateConfig(keys,values,ConfigAddress):
Config = pd.read_pickle(ConfigAddress)
its = range(len(keys))
for i in its:
Config[keys[i]] = values[i]
Config.to_pickle(ConfigAddress)
ddStyle = style={"height":"95%","font-size":"95%",'color':'#3a3f44','background-color':'#3a3f44','border': '#3a3f44'}
adStyle = style={"height":"95%","font-size":"95%"}
diStyle = style={"width": "95%","height":"95%","font-size":"95%",'color':'#3a3f44','background-color':'#3a3f44'}
aiStyle = style={"width": "95%","height":"95%","font-size":"95%"}
dpStyle = style={"height":"95%",'color':'#3a3f44','background-color':'#3a3f44'}
headingStyle = {"width":"95%","height":"100%","font-size":"150%", "justifyContent":'left'}
textStyle = {"width":"95%","height":"95%","font-size":"95%","justifyContent":'left'}
colStyle = {"height":"95%"}
hrStyle = {'height':'8%'}
drStyle = {'height':'10%'}
trStyle = {'height':'5%'}
brStyle = {'height':'1%'}
def UpdateCropOptions(pos, inputDF, outputDF, CropCoefficients, EndUseCatagoriesDropdown):
c = pd.read_pickle(pos+"Config.pkl")
PopulateDefaults = False
DropDownMembers = pd.Series(index = ['Group','Crop','Type'],dtype=object)
DropDownOptions = pd.Series(index = ['EndUse','Group','Crop','Type'],dtype=object)
#Set up values series
Values = pd.Series(index = ['EndUse','Group','Crop','Type'],data=[None]*4)
Values['EndUse'] = inputDF['EndUse']
if (Values['EndUse']!=None):
Values['Group'] = inputDF['Group']
if (Values['Group']!= None):
Values['Crop'] = inputDF['Crop']
if (Values['Crop'] != None):
Values['Type'] = inputDF['Type']
# Default drop down configs
outputDF['EndUse'] = dcc.Dropdown(value = Values['EndUse'], options = EndUseCatagoriesDropdown,placeholder='Pick End use',
style = ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"EndUse"})
outputDF['Group'] = dcc.Dropdown(options = [], disabled = True, placeholder='Pick "End use" first',
style = ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"Group"})
outputDF['Crop'] = dcc.Dropdown(options = [], disabled = True, placeholder='Pick "Group" first',
style = ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"Crop"})
outputDF['Type'] = dcc.Dropdown(options = [], disabled = True, placeholder='Pick "Crop" first',
style = ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"Type"})
# Set drop down configs based on selected values
if Values['EndUse'] != None:
Values, DropDownOptions = checkGroupOptions(Values, DropDownOptions, CropCoefficients,pos)
outputDF['Group'] = dcc.Dropdown(options = DropDownOptions['Group'],placeholder = 'Pick Group', value = Values['Group'],
style = adStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"Group"})
if Values['Group'] != None:
Values, DropDownOptions = checkCropOptions(Values,DropDownOptions,CropCoefficients,pos)
outputDF['Crop'] = dcc.Dropdown(options = DropDownOptions['Crop'],placeholder = 'Pick Crop', value = Values['Crop'],
style = adStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"Crop"})
if Values['Crop'] != None:
Values, DropDownOptions = checkTypeOptions(Values,DropDownOptions,CropCoefficients,pos)
outputDF['Type'] = dcc.Dropdown(options = DropDownOptions['Type'],placeholder = 'Pick Type', value = Values['Type'],
style = adStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"Type"})
#Enable Crop data fields and populate with default values if all crop selection catagories are made
PopulateDefaults = (Values["EndUse"]!=None) & (Values["Group"]!=None) & (Values["Crop"]!=None) & (Values["Type"]!=None)
if (PopulateDefaults == True):
CropFilter = (CropCoefficients.loc[:,'EndUse'] == Values["EndUse"])&(CropCoefficients.loc[:,'Group'] == Values["Group"])\
&(CropCoefficients.loc[:,'Colloquial Name'] == Values["Crop"])&(CropCoefficients.loc[:,'Type'] == Values["Type"])
Params = pd.Series(index=CropCoefficients.loc[CropFilter,CropParams].columns, data = CropCoefficients.loc[CropFilter,CropParams].values[0])
outputDF['SaleableYield'] = dcc.Input(type="number",disabled = False, value = Params["Typical Yield"],min=0,
style = aiStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "SaleableYield"})
outputDF['Units'] = dcc.Dropdown(options = UnitsDropDown, disabled = False, value =Units.loc[Params["Typical Yield Units"],"toKG/ha"],
style = adStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"Units"})
outputDF['ProductType'] = html.Div(Params['Yield type'] + " yield",
style = textStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"displaytext","id":"ProductType"})
outputDF['FieldLoss'] = dcc.Input(type="number",disabled = False, value = Params["Typical Field Loss %"],min=0,
style = aiStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "FieldLoss"})
outputDF['DressingLoss'] = dcc.Input(type="number",disabled = False, value = Params["Typical Dressing Loss %"],min=0,
style = aiStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "DressingLoss"})
outputDF['MoistureContent'] = dcc.Input(type="number",disabled = False, value = (round(Params["Moisture %"],0)),min=0,
style = aiStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "MoistureContent"})
outputDF['EstablishStage'] = dcc.Dropdown(options = EstablishStageDropdown, disabled = False, value =Params["Typical Establish Stage"],
style = adStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"EstablishStage"})
outputDF['HarvestStage'] = dcc.Dropdown(options = HarvestStageDropdown, disabled = False, value =Params["Typical Harvest Stage"],
style = adStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"HarvestStage"})
outputDF["ResidueTreatment"] = dcc.Dropdown(options = ResidueTreatDropdown, disabled = False, value = "Incorporated",
style = adStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"ResidueTreatment"})
outputDF["EstablishN"] = dcc.Input(type="number",disabled = False, value = 0, min=0,
style = aiStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"EstablishN"})
updateConfig(["SaleableYield","Units","FieldLoss","DressingLoss","MoistureContent","EstablishStage","HarvestStage","ResidueTreatment"],
[Params["Typical Yield"],Units.loc[Params["Typical Yield Units"],"toKG/ha"],Params["Typical Field Loss %"],
Params["Typical Dressing Loss %"],Params["Moisture %"],Params["Typical Establish Stage"],Params["Typical Harvest Stage"],1.0],
pos+"Config.pkl")
updateConfig(["EndUse","Group","Crop","Type"],Values.values,pos+"Config.pkl")
else:
outputDF['SaleableYield'] = dcc.Input(type="number",disabled = True, placeholder='Choose "Crop" first',min=0,
style = diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "SaleableYield"})
outputDF['Units'] = dcc.Dropdown(options = [], disabled = True, placeholder='Choose "Crop" first',
style = ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"Units"})
outputDF['ProductType'] = html.Div("Yield Data",
style = textStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"displaytext","id":"ProductType"})
outputDF['FieldLoss'] = dcc.Input(type="number",disabled = True, placeholder='Choose "Crop" first',min=0,
style = diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "FieldLoss"})
outputDF['DressingLoss'] = dcc.Input(type="number",disabled = True, placeholder='Choose "Crop" first',min=0,
style = diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "DressingLoss"})
outputDF['MoistureContent'] = dcc.Input(type="number",disabled = True, placeholder='Choose "Crop" first',min=0,
style = diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "MoistureContent"})
outputDF['EstablishStage'] = dcc.Dropdown(options = [], disabled = True, placeholder='Choose "Crop" first',
style = ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"EstablishStage"})
outputDF['HarvestStage'] = dcc.Dropdown(options = [], disabled = True, placeholder='Choose "Crop" first',
style = ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"HarvestStage"})
outputDF["ResidueTreatment"] = dcc.Dropdown(options = [], disabled = True, placeholder='Choose "Crop" first',
style = ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"ResidueTreatment"})
outputDF['EstablishN'] = dcc.Input(type="number",disabled = True, placeholder='Choose "Crop" first',min=0,
style = diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "EstablishN"})
updateConfig(["SaleableYield","Units","FieldLoss","DressingLoss","MoistureContent",
"EstablishStage","HarvestStage","ResidueTreatment"],
[0.0,1.0,0.0,0.0,0.0,"Seed","EarlyReproductive",1.0],
pos+"Config.pkl")
updateConfig(["EndUse","Group","Crop","Type"],[None,None,None,None],pos+"Config.pkl")
return list(outputDF[0:4]), list(outputDF[4:14])
def checkGroupOptions(Values,DropDownOptions,CropCoefficients,pos):
GroupSelections = CropCoefficients.loc[CropCoefficients.loc[:,'EndUse'] == Values['EndUse'],"Group"].drop_duplicates().dropna().values
GroupSelections.sort()
if len(GroupSelections)<=1:
DropDownOptions['Group'] = [{'label':"No Groups for " +Values['EndUse']+" EndUse",'value': GroupSelections[0]}]
Values['Group'] = GroupSelections[0]
Values, DropDownOptions = checkCropOptions(Values,DropDownOptions,CropCoefficients,pos)
else:
DropDownOptions['Group'] = [{'label':i,'value':i} for i in GroupSelections]
DropDownOptions['Crop'] = []
DropDownOptions['Type'] = []
return Values, DropDownOptions
def checkCropOptions(Values,DropDownOptions,CropCoefficients,pos):
GroupSelections = CropCoefficients.loc[CropCoefficients.loc[:,'EndUse'] == Values['EndUse'],"Group"].drop_duplicates().dropna().values
GroupSelections.sort()
DropDownOptions['Group'] = [{'label':i,'value':i} for i in GroupSelections]
CropSelections = CropCoefficients.loc[(CropCoefficients.loc[:,'EndUse'] == Values['EndUse'])&(CropCoefficients.loc[:,'Group'] == Values['Group']),"Colloquial Name"].drop_duplicates().dropna().values
CropSelections.sort()
if len(CropSelections) <= 1:
DropDownOptions['Crop'] = [{'label':CropSelections[0]+" is the only " + Values['EndUse']+" crop",'value': CropSelections[0]}]
Values['Crop'] = CropSelections[0]
Values, DropDownOptions = checkTypeOptions(Values, DropDownOptions,CropCoefficients,pos)
else:
DropDownOptions['Crop'] = [{'label':i,'value':i} for i in CropSelections]
DropDownOptions['Type'] = []
return Values, DropDownOptions
def checkTypeOptions(Values,DropDownOptions,CropCoefficients,pos):
GroupSelections = CropCoefficients.loc[CropCoefficients.loc[:,'EndUse'] == Values['EndUse'],"Group"].drop_duplicates().dropna().values
GroupSelections.sort()
DropDownOptions['Group'] = [{'label':i,'value':i} for i in GroupSelections]
CropSelections = CropCoefficients.loc[(CropCoefficients.loc[:,'EndUse'] == Values['EndUse'])&(CropCoefficients.loc[:,'Group'] == Values['Group']),"Colloquial Name"].drop_duplicates().dropna().values
CropSelections.sort()
DropDownOptions['Crop'] = [{'label':i,'value':i} for i in CropSelections]
TypeSelections = CropCoefficients.loc[(CropCoefficients.loc[:,'EndUse'] == Values['EndUse'])&(CropCoefficients.loc[:,'Group'] == Values['Group'])&(CropCoefficients.loc[:,'Colloquial Name'] == Values['Crop']),"Type"].drop_duplicates().dropna().values
if len(TypeSelections) <= 1:
DropDownOptions['Type'] = [{'label':Values['Crop']+" has no Type options",'value': TypeSelections[0]}]
Values['Type'] = TypeSelections[0]
else:
DropDownOptions['Type'] = [{'label':i,'value':i} for i in TypeSelections]
return Values, DropDownOptions
def SetDatePicker(pos,act,PHtext,minDate,selDate,isEnabled):
if isEnabled:
DateP = dcc.DatePickerSingle(id={"pos":pos,"Group":"Crop","subGroup":"Event","RetType":"date","id":act}, date = selDate, placeholder = PHtext,
min_date_allowed=minDate, max_date_allowed=dt.date(2025, 12, 31),
initial_visible_month = selDate, display_format='D-MMM-YYYY')
else:
DateP = dcc.DatePickerSingle(id={"pos":pos,"Group":"Crop","subGroup":"Event","RetType":"date","id":act}, placeholder = PHtext, disabled = True)
return DateP
def UpdateDatePickerOptions(datedf):
for d in datedf.index:
pos = d[0]
act = d[1]
updateConfig([act],[np.datetime64(datedf.loc[d,'date'])],pos+"Config.pkl")
posc=0
for pos in Positions:
for act in Actions:
if (pos == "Previous_") and (act == "EstablishDate"):
minDate = dt.date(2020,1,1)
isEnabled = datedf.loc[(pos,act),'date']!=None
selDate = datedf.loc[(pos,act),'date']#.astype(dt.datetime)
PHtext = 'Select Establish Date'
else:
isEnabled = datedf.iloc[posc-1,0]!=None
if isEnabled:
minDate = datedf.iloc[posc-1,0]#.astype(dt.datetime)
else:
minDate = dt.date(2020,1,1)
if datedf.iloc[posc,0]==None:
selDate = None
else:
selDate = datedf.iloc[posc,0]#.astype(dt.datetime)
if act == 'HarvestDate':
if isEnabled:
PHtext = 'Select Harvest Date'
else:
PHtext = 'Set Prior Crop dates first'
if act == 'EstablishDate':
if isEnabled:
PHtext = 'Select Planting Date'
else:
PHtext = 'Set Prior Crop dates first'
globals()[pos+act] = SetDatePicker(pos,act,PHtext,minDate,selDate,isEnabled)
posc +=1
return Previous_EstablishDate, Previous_HarvestDate, Current_EstablishDate, Current_HarvestDate, Following_EstablishDate, Following_HarvestDate
def makeDataSeries(names,values):
Names = []
for n1 in range(len(names)):
for n2 in range(len(names[n1])):
Names.append(names[n1][n2]['id']['id'])
df = pd.Series(index=Names,data=values)
return df
def makeDateDataDF(names,dates):
p=0
df = pd.DataFrame(index = range(0,6), columns=['pos','act','date'])
for n1 in range(len(names)):
for n2 in range(len(names[n1])):
df.loc[p,'pos'] = names[n1][n2]['id']['pos']
df.loc[p,'act'] = names[n1][n2]['id']['id']
df.loc[p,'date'] = dates[p]
p+=1
df.set_index(['pos','act'],inplace=True)
return df
def CropInputs(pos,EndUseCatagoriesDropdown,disableDates,EDatePHtext,HDatePHtext):
return dbc.CardBody([
## Crop Type informaiton
dbc.Row([html.B(pos[:-1]+ " crop information",
style=headingStyle,
id = {"pos":pos,"Group":"Crop","subGroup":"Title","RetType":"displaytext","id":"PositionTitle"})],
style=hrStyle),
dbc.Row([dbc.Col([html.B('End use',
style = textStyle)],
width=3, align='center',style = colStyle),
dbc.Col([html.B('Group',
style = textStyle)],
width=3, align='center',style = colStyle),
dbc.Col([html.B('Crop',
style = textStyle)],
width=3, align='center',style = colStyle),
dbc.Col([html.B('Type',
style = textStyle)],
width=3, align='center',style = colStyle)],
style=trStyle),
dbc.Row([dbc.Col([dcc.Dropdown(options = EndUseCatagoriesDropdown, placeholder=' Select crop EndUse',
style=ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"EndUse"})],
width=3 ,align='center', style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"children","id":"EndUse"}),
dbc.Col([dcc.Dropdown(options = [], placeholder=' Select "EndUse" first' ,
style=ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"Group"})],
width=3 ,align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"children","id":"Group"}),
dbc.Col([dcc.Dropdown(options = [], placeholder=' Select "Group" first',
style=ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"Crop"})],
width=3 ,align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"children","id":"Crop"}),
dbc.Col([dcc.Dropdown(options = [], placeholder='',
style=ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"value","id":"Type"})],
width=3 ,align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Catagory","RetType":"children","id":"Type"})],
style=drStyle),
dbc.Row([],style=brStyle),
## Crop Harvest Information
dbc.Row([dbc.Col([html.B(pos[:-1]+ ' harvest information',
style=headingStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"displaytext","id":"ProductType"})],
width=12, align='left',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"children","id":"Product Type"})],
style=hrStyle),
dbc.Row([dbc.Col([dcc.Input(type="number",placeholder = "Enter Expected Yield",min=0,disabled=True,
style=diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id": "SaleableYield"})],
width=3, align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"children","id":"SaleableYield"}),
dbc.Col([dcc.Dropdown(options = [], placeholder = "",disabled=True,
style=ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"Units"})],
width=3, align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"children","id":"Units"}),
dbc.Col([html.Div('at',
style=dict(display='flex', justifyContent='center'))],
width = 1, align='center', style = colStyle),
dbc.Col([dcc.Input(type="number",min=0,max=96,disabled=True,
style=diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"MoistureContent"})],
width=2, align='center', style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"children","id":"MoistureContent"}),
dbc.Col([html.Div('% Moisture',
style=dict(display='flex', justifyContent='left'))],
width=3, align='left',style = colStyle)],
style=drStyle),
dbc.Row([],style=brStyle),
dbc.Row([dbc.Col([dcc.Input(type="number",min=0,max=100,disabled=True,
style=diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"FieldLoss"})],
width=2, align='right',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"children","id":"FieldLoss"}),
dbc.Col([html.Div('Field Loss (%)',
style=dict(display='flex', justifyContent='left'))],
width=3, align='left',style = colStyle),
dbc.Col([dcc.Input(type="number",min=0,max=100,disabled=True,
style=diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"DressingLoss"})],
width=2, align='right',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"children","id":"DressingLoss"}),
dbc.Col([html.Div('Dressing loss (%)',
style=dict(display='flex', justifyContent='left'))],
width=3, align='left',style = colStyle)],
style=drStyle),
dbc.Row([],style=brStyle),
# Crop Management Information
dbc.Row([dbc.Col([html.B(pos[:-1]+ ' management information',
style=headingStyle)],
width=12, align='left',style = colStyle)],
style=hrStyle),
dbc.Row([dbc.Col([html.Div('Planting Date',
style = textStyle)],
width=4, align='center',style = colStyle),
dbc.Col([html.Div('Planting method',
style = textStyle)],
width=4, align='center',style = colStyle),
dbc.Col([html.Div('Planting Nitrogen',
style = textStyle)],
width=4, align='center',style = colStyle)],
style=trStyle),
dbc.Row([dbc.Col([dcc.DatePickerSingle(min_date_allowed=dt.date(2020, 1, 1),
max_date_allowed=dt.date(2025, 12, 31), initial_visible_month=dt.date(2021, 5, 15),
placeholder = EDatePHtext, display_format='D-MMM-YYYY', disabled = disableDates,
style = dpStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Event","RetType":"date","id":"EstablishDate"})],
width=4, align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Event","RetType":"children","id":"EstablishDate"}),
dbc.Col([dcc.Dropdown(options =[], placeholder='',disabled=True,
style=ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"EstablishStage"})],
width=4, align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"children","id":"EstablishStage"}),
dbc.Col([dcc.Input(type="number",min=0,max=400,disabled=True,
style=diStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"EstablishN"})],
width=2, align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Event","RetType":"children","id":"EstablishN"}),
dbc.Col([html.Div('kg/ha',
style=dict(display='flex', justifyContent='left'))],
width=2, align='left',style = colStyle)],
style=drStyle),
dbc.Row([dbc.Col([html.Div('Harvest Date',
style = textStyle)],
width=4, align='center',style = colStyle),
dbc.Col([html.Div('Harvest Stage',
style = textStyle)],
width=4, align='center',style = colStyle),
dbc.Col([html.Div('Residue Treatment',
style = textStyle)],
width=4, align='center',style = colStyle)],
style=trStyle),
dbc.Row([dbc.Col([dcc.DatePickerSingle(min_date_allowed=dt.date(2020, 1, 1),
max_date_allowed=dt.date(2025, 12, 31), initial_visible_month=dt.date(2021, 5, 15),
placeholder = HDatePHtext,display_format='D-MMM-YYYY',disabled=True,
style = dpStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Event","RetType":"date","id":"HarvestDate"})],
width=4, align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"Event","RetType":"children","id":"HarvestDate"}),
dbc.Col([dcc.Dropdown(options = [],placeholder='',disabled=True,
style=ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"HarvestStage"})],
width=4, align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"children","id":"HarvestStage"}),
dbc.Col([dcc.Dropdown(options =[], placeholder='',disabled=True,
style=ddStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"value","id":"ResidueTreatment"})],
width=4, align='center',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"data","RetType":"children","id":"ResidueTreatment"})],
style=drStyle),
dbc.Row([dbc.Col([html.Div('Defoliatoin Dates')],
width=3, align='center',style = colStyle),
dbc.Col([dcc.Checklist(options=[],
id={"pos":pos,"Group":"Crop","subGroup":"defoliation","RetType":"value","id":"DefoliationDates"})],
width=9, align='left',style = colStyle,
id={"pos":pos,"Group":"Crop","subGroup":"defoliation","RetType":"children","id":"DefoliationDates"})],
style=drStyle)],
style={"height": "100%"})
# -