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# for azure notebook
# !conda install pandas numpy bokeh=0.12.4 requests


    

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# API connection stuff
import requests
import json


    

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# Data management pandas and numpy
import pandas as pd
import numpy as np


    

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# general system management
import os
from glob import glob


    

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# bokeh packages
import bokeh
from bokeh.io import curdoc
from bokeh.layouts import row, widgetbox, column
from bokeh.models import Select, Div, Column, HoverTool, ColumnDataSource, Button, CheckboxButtonGroup
from bokeh.models.widgets import RangeSlider
from bokeh.plotting import figure


    

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bokeh.__version__


    

    
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'0.12.4'

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# plotting package matplotlib
import matplotlib.pyplot as plt
%matplotlib inline


    

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# function to manage query requests
def dict_to_api(query_dict):
    """
    simple version of single value to dict query
    """
    r = requests.post(url='http://0.0.0.0:5900/bench/v1/query',data=json.dumps(query_dict))
    ListOfDicts = r.json()['content']
    return pd.concat([pd.DataFrame({k:[ld[k]] for k in list(ld.keys())}) for ld in ListOfDicts])

def user_to_dict(query):
    """
    breaks up the user query into single value dicts for the api query
    Example: {'code':['VASP','DMol3'],'exchange':['PBE','LDA'], 'element':['Ag'],'structure':['fcc','bcc','hcp'] }
    """
    new_query_template = {key:[] for key in query}
    ListOfDicts = []
    
    for k in new_query_template:
        new_query = new_query_template
        for v in query[k]:
            
            new_query[k].append(v[0])
        for j in new_query_template:
            
            new_query[k].append(query[k][0])
            print (new_query)
    # let's say 3 keys, 2 values each
    # means 6 single value dicts 
    # 

    
    #multiple_value_keys = [k for k in query if len(query[k])>1]
    #single_value_keys = [k for k in query if len(query[k])==1]
    #print (multiple_value_keys, single_value_keys)
    #matrix_of_queries = []


    

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# testing for multiple value comparison plot user requests - NOT DONE yet
user_to_dict({'code':['VASP','DMol3'],'exchange':['PBE','LDA'], 'element':['Ag','Au'],'structure':['fcc','bcc'] })


    

    




{'code': ['VASP'], 'exchange': [], 'element': [], 'structure': []}
{'code': ['VASP'], 'exchange': ['PBE'], 'element': [], 'structure': []}
{'code': ['VASP'], 'exchange': ['PBE'], 'element': ['Ag'], 'structure': []}
{'code': ['VASP'], 'exchange': ['PBE'], 'element': ['Ag'], 'structure': ['fcc']}

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user_request1 = dict_to_api({'code':'VASP','exchange':'PBE','element':'Au','structure':'hcp','properties':'B'})


    

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user_request2 = dict_to_api({'code':'DMol3','exchange':'PBE','element':'Au','structure':'fcc','properties':'B'})


    

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plot_data = {'x':np.unique(user_request1['k-point']), 'y': np.unique(user_request1['precision'])}


    

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p = figure()


    

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p.circle(plot_data['x'], plot_data['y'][0:len(plot_data['x'])])


    

    
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GlyphRenderer(
id = '33fdf1fd-a4e5-4b3f-a958-70d252a70ce1', …)
data_source = ColumnDataSource(id='a58e8e00-2d1b-41ec-9bd1-fa4d408cc38a', ...),
glyph = Circle(id='55802ac1-c8fa-43b2-97e2-29eb54623006', ...),
hover_glyph = None,
js_callbacks = {},
level = 'glyph',
name = None,
nonselection_glyph = Circle(id='dccf9c21-34f6-4dbf-8fa7-1be332fbd8f9', ...),
selection_glyph = None,
tags = [],
visible = True,
x_range_name = 'default',
y_range_name = 'default')

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from bokeh.plotting import show


    

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show(p)


    

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R = RangeSlider(title='Choice',start=0,end=10,step=0.1)


    

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show(R)


    

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