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app.py
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from shiny import App, render, reactive,ui
from shiny.ui import h2, tags
from data_process import univ_reg_dict,topic_qlist_dict,qlist_qcontent_dict
from data_process import univ_reg_display,qlist_qcontent_display
from data_process import lea_display,topic_display
from data_process import qlist_qcontent_inverse_dict_edu,qlist_qcontent_inverse_dict_prn,qlist_qcontent_inverse_dict_sp
from data_process import edu_df,prn_df
from data_process_func import *
#from data_process_func import record_login
from encrypto_file import checkpassword
from data_process import lea_univ_dict
import pandas as pd
import io
import csv
import asyncio
#import matplotlib.pyplot as plt
from matplotlib import pyplot as plt
from data_process import get_v_counts
table_only = {'Q6','Q21','Q21_6_TEXT','Q139','Q139_6_TEXT','Q35','Q35_6_TEXT','Q219','Q219_6_TEXT','Q175','Q175_4_TEXT','Q218','Q218_4_TEXT','Q26','Q34','Q34_4_TEXT'}
total_status = {"login":-1,"authlevel":-1}
app_ui = ui.page_fluid(
ui.panel_title("Login"),
ui.row(
ui.input_text("username","Username:",placeholder="username"),
ui.input_password("password","Password:"),
ui.input_action_button("submit","Log in/Log out",width='200px'),
ui.output_text_verbatim("validate_pass",placeholder=True),
ui.input_action_button("show_guide","Guideline",width='150px'),
),
ui.panel_title("Main Page"),
ui.row(
ui.column(
3,
ui.panel_well(
ui.output_text("out_text1"),
ui.input_radio_buttons("role","role:",{"principal":"Principal","educator":"Educator"}),
)
),
ui.column(
3,
ui.panel_well(
ui.output_text("out_text2"),
)
),
#ui.input_action_button("more_guide","Additional Guide",width='150px'),
ui.column(
3,
ui.panel_well(
ui.output_text("out_text3"),
ui.input_select("cate","Topic:",topic_display),
ui.input_select("question","Question:",[]),
)
),
ui.column(
3,
ui.panel_well(
ui.output_text("out_text4"),
ui.download_button("save_fig","Download LEA figure",width='150px',len ='150px'),
ui.download_button("save_fig_st","Download State figure",width='150px',len ='150px'),
ui.output_text("out_text5"),
ui.download_button("save_result","Download LEA table",width='150px'),
ui.download_button("save_result_st","Download State table",width='150px'),
)
)
),
ui.row(
ui.column(
6,
ui.panel_well(
ui.panel_title("Selected LEA Result: "),
ui.output_text("print_txt1"),
ui.output_plot("plot_curr"),
ui.output_text("print_txt2"),
ui.output_table("print_table"),
)
),
ui.column(
6,
ui.panel_well(
ui.panel_title("State Result: "),
ui.output_text("print_txt3"),
ui.output_plot("plot_curr_st"),
ui.output_text("print_txt4"),
ui.output_table("print_table_st"),
)
),
)
)
def server(input, output, session):
login_status = -1
log_role = "notset"
correct_or_not = -1
lea_region = "notselected"
choices = [0,0,0,0]
value_counts = 0
# 0 means result of lea displayed
# 1 means result of univ displayed
lea_or_univ = 0
total_size = 0
display_text = ""
displayed_table = pd.DataFrame()
curr_fig = 0
file_name = ""
@output
@render.text
def out_text1():
return "Choose Roles:"
@output
@render.text
def out_text2():
return "Choose University/LEA Region:"
@output
@render.text
def out_text3():
return "Choose Topic/Question:"
@output
@render.text
def out_text4():
return "Click here to download the selected LEA/district figure shown below!"
@output
@render.text
def out_text5():
return "Click here to download the selected LEA/district result table shown below!"
@output
@render.text
def out_text6():
return "Click here to download the state result figure shown below!"
@output
@render.text
def out_text7():
return "Click here to download the state result table shown below!"
@output
@render.text
def validate_pass():
try:
role = input.role()
univ_region = input.univ_region()
topics =input.cate()
lea = input.lea_region()
qs = input.question()
except:
pass
if total_status["authlevel"] == -1:
txt = "Please Log in first!!!"
if total_status["authlevel"] == 1:
txt = "Welcome, admin!"
if total_status["authlevel"] ==2 :
try:
curr_lea = input.lea_region()
except:
curr_lea = "N/A"
txt = "Welcome, LEA of "+ str(curr_lea) + " !"
return txt
@reactive.Effect
@reactive.event(input.more_guide)
def additional_guide():
m_2 = ui.modal("Log in to see!!!",title = "Guide",easy_close=True,footer=None,)
ui.modal_show(m_2)
@reactive.Effect
@reactive.event(input.show_guide)
def showguide():
m = ui.modal(
"You need to login to see/save the figures and result tables. Once you logged out, you need to press 'F5' to refresh the page before login again!!! ",
title="Brief guide",
easy_close=True,
footer=None,
)
ui.modal_show(m)
@output
@render.ui
@reactive.Effect
@reactive.event(input.submit)
def submit():
nonlocal login_status
nonlocal log_role
global correct_or_not
nonlocal choices
#print(login_status)
#log in!
if login_status==-1:
username = input.username()
password = str(input.password())
correct_or_not = checkpassword(username,password)
if correct_or_not ==1 or correct_or_not==2:
ui.remove_ui(selector="div:has(> #username)")
ui.remove_ui(selector="div:has(> #password)")
login_status=1
log_role = username
if correct_or_not ==1:
total_status["login"]=1
total_status["authlevel"]=1
"""
ui.insert_ui(
ui.input_radio_buttons("role_select","role:",{"principal":"Principal","educator":"Educator"}),
selector="#out_text1",
where="afterEnd"
)
"""
ui.insert_ui(
ui.input_select("lea_region","",[]),
selector="#out_text2",
where="afterEnd"
)
ui.insert_ui(
ui.input_select("univ_region","",univ_reg_display),
selector="#out_text2",
where="afterEnd"
)
"""
ui.insert_ui(
ui.input_select("question","question",[]),
selector="#out_text3",
where="afterEnd"
)
ui.insert_ui(
ui.input_select("cate","topic",topic_display),
#ui.input_select("question","question",[]),
selector="#out_text3",
where="afterEnd"
)
"""
if correct_or_not ==2:
total_status["authlevel"]=2
total_status["login"]=1
lea_info = input.username()
curr_univ_region = lea_univ_dict[lea_info]
try:
curr_univ_region = lea_univ_dict[lea_info]
except:
curr_univ_region = "Undefined!"
ui.insert_ui(
ui.input_select("lea_region","",{lea_info:lea_info}),
selector="#out_text2",
where="afterEnd"
)
ui.insert_ui(
ui.input_select("univ_region","",{curr_univ_region:curr_univ_region}),
selector="#out_text2",
where="afterEnd"
)
"""
ui.insert_ui(
ui.input_select("question","question",[]),
selector="#out_text3",
where="afterEnd"
)
ui.insert_ui(
ui.input_select("cate","topic",topic_display),
#ui.input_select("question","question",[]),
selector="#out_text3",
where="afterEnd"
)
"""
#log out!
elif login_status ==1:
ui.insert_ui(
ui.input_text("username","Username:",placeholder="username"),
selector="#submit",
where="beforeBegin",
)
ui.insert_ui(
ui.input_password("password","Password"),
selector="#submit",
where="beforeBegin",
)
#ui.remove_ui(selector="div:has(< #role_select)")
ui.update_select(
"lea_region",
choices=[]
)
ui.update_select(
"univ_region",
choices=[]
)
ui.remove_ui(selector="div:has(> #univ_region)")
ui.remove_ui(selector="div:has(> #lea_region)")
#ui.remove_ui(selector="div:has(> #cate)")
#ui.remove_ui(selector="div:has(> #question)")
login_status = -1
correct_or_not = -1
username = "test1"
password = "test1"
log_role = "notset"
for i in range(4):
choices[i] = 0
total_status["authlevel"] = -1
total_status["login"] = -1
@output
@render.text
def print_txt1():
role = input.role()
univ_region = input.univ_region()
topics =input.cate()
lea = input.lea_region()
qs = input.question()
return "Here is the result from "+str(univ_region)+" University Region and "+str(lea)+" LEA or district."
@output
@render.text
def print_txt3():
#topics =input.cate()
#qs = input.question()
return "Here is the result from all LEA/district in Utah."
@output
@render.text
def print_txt2():
role = input.role()
univ_region = input.univ_region()
topics =input.cate()
lea = input.lea_region()
qs = input.question()
if correct_or_not ==2:
lea = input.username()
univ_region = lea_univ_dict[lea]
if(role=="educator"):
df_curr = edu_df.copy()
reg_locator = "Q43"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_edu
elif(role=="principal"):
df_curr = prn_df.copy()
reg_locator = "Q7"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_prn
try:
df_region = df_curr[df_curr[reg_locator]==lea]
except:
display_text = "No result found in "+str(input.lea_region())+" LEA/district"
#df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
sz1,sz2 = df_region.shape
if sz1 ==0:
display_text = "No result found in "+str(input.lea_region())+" LEA/district"
if sz1>=10:
display_text = "The result of "+str(input.lea_region())+" LEA/district is displayed."
else:
display_text ="Due to the privacy, the result of that LEA region will be hidden, instead, results of the "+str(input.univ_region())+" University Region will be displayed."
return display_text
@output
@render.text
def print_txt4():
try:
lea = input.lea_region()
except:
lea = " "
try:
univ_region = input.univ_region()
except:
univ_region = " "
role = input.role()
topics =input.cate()
qs = input.question()
v_count_df,display_text,total_size =get_v_counts(role,univ_region,lea,qs,qlist_qcontent_inverse_dict_edu,qlist_qcontent_inverse_dict_prn,edu_df,prn_df,"a")
return display_text
@reactive.Effect()
def update_select():
#print("After log in")
global correct_or_not
univ_region_chose = input.univ_region()
curr_role = input.role()
#print("Correct or not in LEA update is "+str(correct_or_not))
#print(univ_region_chose)
if correct_or_not ==1:
try:
lea_list_dict = list(univ_reg_dict[univ_region_chose])
lea_display = list_display(lea_list_dict)
ui.update_select(
"lea_region",
choices=lea_display
)
except:
pass
elif correct_or_not ==2:
lea = input.username()
ui.update_select(
"lea_region",
choices={lea:lea}
)
@reactive.Effect()
def update_select1():
curr_role = input.role()
curr_topic = input.cate()
list1 = list(topic_qlist_dict[curr_role][curr_topic])
display_list = get_qlist_by_cate(list1, qlist_qcontent_dict)
ui.update_select(
"question",
choices= display_list
)
# need rework on this function
@output
@render.plot
def plot_curr_v1():
global lea_or_univ
global display_text
#global login_status
nonlocal total_size
nonlocal value_counts
nonlocal curr_fig
nonlocal file_name
nonlocal login_status
try:
role = input.role()
univ_region = input.univ_region()
topics =input.cate()
lea = input.lea_region()
qs = input.question()
if correct_or_not ==2:
lea = input.username()
univ_region = lea_univ_dict[lea]
if(role=="educator"):
df_curr = edu_df.copy()
reg_locator = "Q43"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_edu
elif(role=="principal"):
df_curr = prn_df.copy()
reg_locator = "Q7"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_prn
if qlist_qcontent_inverse_dict[qs] in table_only:
fig,ax = plt.subplots()
ax.set_title("Results will be shown in table only!")
return fig
df_region = df_curr[df_curr[reg_locator]==lea]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
sz1,sz2 = df_region.shape
if (sz1 >=10):
display_text = "There is the result"
lea_or_univ =0
total_size = sz1
if (sz1<= 10):
lea_set = univ_reg_dict[univ_region]
df_region = df_curr[df_curr[reg_locator].isin(lea_set)]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
display_text = "Due to the privacy, the result of that LEA region will be hidden, instead, results of the University Region will be displayed"
sz1,sz2 = df_region.shape
lea_or_univ = 1
total_size = sz1
v_count_df = pd.DataFrame(df_region_qs.value_counts(sort=True)).reset_index()
v_labels = list(v_count_df.iloc[:,0])
displayed_table = v_count_df
#print(displayed_table)
values = list(v_count_df.iloc[:,1])
from matplotlib import pyplot as plt
fig,ax = plt.subplots()
ax.pie(values,labels = v_labels,autopct = '%2.2f%%')
question_code = v_count_df.columns[1]
q_details = qlist_qcontent_dict[question_code]
ax.set_title("Question "+str(question_code)+": "+q_details+" .")
file_name =input.role()+" "+input.lea_region()+" "+input.qs()+"_result.png"
curr_fig = fig
return fig
except:
from matplotlib import pyplot as plt
try:
region = input.lea_region()
except:
from matplotlib import pyplot as plt
return
if login_status ==-1:
return
@output
@render.plot
def plot_curr():
#print("lea part, the current log in status is :" + str(total_status["authlevel"]))
from matplotlib import pyplot as plt
if total_status["authlevel"] == 1 or total_status["authlevel"] ==2:
#print("The role of the current log in is :", total_status["authlevel"])
role = input.role()
univ_region = input.univ_region()
topics =input.cate()
lea = input.lea_region()
qs = input.question()
if correct_or_not ==2:
lea = input.username()
univ_region = lea_univ_dict[lea]
if(role=="educator"):
df_curr = edu_df.copy()
reg_locator = "Q43"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_edu
elif(role=="principal"):
df_curr = prn_df.copy()
reg_locator = "Q7"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_prn
if qlist_qcontent_inverse_dict[qs] in table_only:
fig,ax = plt.subplots()
ax.set_title("Results will be shown in table only!")
return fig
df_region = df_curr[df_curr[reg_locator]==lea]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
sz1,sz2 = df_region.shape
if (sz1 >=10):
#lea_or_univ =0
total_size = sz1
if (sz1<= 10):
lea_set = univ_reg_dict[univ_region]
df_region = df_curr[df_curr[reg_locator].isin(lea_set)]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
display_text = "Due to the privacy, the result of that LEA region will be hidden, instead, results of the University Region will be displayed"
sz1,sz2 = df_region.shape
total_size = sz1
v_count_df = pd.DataFrame(df_region_qs.value_counts(sort=True)).reset_index()
print(v_count_df)
question_code = v_count_df.columns[0]
values = list(v_count_df.iloc[:,1])
total_counts = sum(values)
percent_list = [round(x/total_counts*100,2) for x in values]
new_title_1 = ["Each Response","Percentage"]
v_count_df.columns = new_title_1
v_count_df["Percentage"] = percent_list
v_labels = list(v_count_df.iloc[:,0])
fig,ax = plt.subplots()
ax.pie(values,labels = v_labels,autopct = '%2.2f%%')
q_details = qlist_qcontent_dict[question_code]
#ax.set_title("Question "+str(question_code)+": "+q_details+" .")
return fig
else:
#print("logged out")
fig,ax = plt.subplots()
ax.set_title("LEA results will be shown after logged in!!!")
try:
role = input.role()
univ_region = input.univ_region()
topics =input.cate()
lea = input.lea_region()
qs = input.question()
except:
pass
return fig
@output
@render.plot
def plot_curr_st():
#print("state part, the current log in status is :" + str(total_status["authlevel"]))
from matplotlib import pyplot as plt
global lea_or_univ
nonlocal total_size
nonlocal value_counts
role = input.role()
qs = input.question()
try:
univ_region = input.univ_region()
except:
univ_region = " "
try:
lea = input.lea_region()
except:
lea = " "
if qlist_qcontent_inverse_dict_sp[input.role()][input.question()] in table_only:
fig,ax = plt.subplots()
ax.set_title("Results will be shown in table only!")
return fig
v_count_df,display_text,total_size =get_v_counts(role,univ_region,lea,qs,qlist_qcontent_inverse_dict_edu,qlist_qcontent_inverse_dict_prn,edu_df,prn_df,"a")
print(v_count_df)
v_labels = list(v_count_df.iloc[:,0])
values = list(v_count_df.iloc[:,1])
displayed_table = v_count_df
#print(v_count_df)
fig,ax = plt.subplots()
ax.pie(values,labels = v_labels,autopct = '%2.2f%%')
question_code = v_count_df.columns[1]
q_details = qlist_qcontent_dict[question_code]
try:
q_details = qlist_qcontent_dict[question_code]
except:
q_details = "Question is not listed"
#ax.set_title("Question "+str(question_code)+": "+q_details+" .")
#file_name =input.role()+" "+input.lea_region()+" "+input.qs()+"_result.png"
return fig
"""
"""
@output
@render.table
def print_table():
global lea_or_univ
nonlocal total_size
nonlocal value_counts
role = input.role()
univ_region = input.univ_region()
lea = input.lea_region()
qs = input.question()
if correct_or_not ==2:
lea = input.username()
univ_region = lea_univ_dict[lea]
if(role=="educator"):
df_curr = edu_df.copy()
reg_locator = "Q43"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_edu
elif(role=="principal"):
df_curr = prn_df.copy()
reg_locator = "Q7"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_prn
df_region = df_curr[df_curr[reg_locator]==lea]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
sz1,sz2 = df_region.shape
if (sz1 >=10):
#lea_or_univ =0
total_size = sz1
if (sz1<= 10):
lea_set = univ_reg_dict[univ_region]
df_region = df_curr[df_curr[reg_locator].isin(lea_set)]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
display_text = "Due to the privacy, the result of that LEA region will be hidden, instead, results of the University Region will be displayed"
sz1,sz2 = df_region.shape
#lea_or_univ = 1
total_size = sz1
v_count_df = pd.DataFrame(df_region_qs.value_counts(sort=True)).reset_index()
question_code = v_count_df.columns[1]
values = list(v_count_df.iloc[:,1])
total_counts = sum(values)
percent_list = [round(x/total_counts*100,2) for x in values]
new_title_1 = ["Each Response","Percentage"]
v_count_df.columns = new_title_1
v_count_df["Percentage"] = percent_list
#v_count_df.iloc[1,:] = percent_list
#print(v_count_df)
#v_count_df.columns = new_title
#v_count_df["Percentage"] = percent_list
return v_count_df
@output
@render.table
def print_table_st():
global lea_or_univ
nonlocal total_size
nonlocal value_counts
role = input.role()
topics =input.cate()
qs = input.question()
try:
univ_region = input.univ_region()
except:
univ_region = " "
try:
lea = input.lea_region()
except:
lea = " "
v_count_df,display_text,total_size =get_v_counts(role,univ_region,lea,qs,qlist_qcontent_inverse_dict_edu,qlist_qcontent_inverse_dict_prn,edu_df,prn_df,"a")
question_code = v_count_df.columns[1]
#new_title = ["Answers","Question code: "+question_code]
#v_count_df.columns = new_title
values = list(v_count_df.iloc[:,1])
total_counts = sum(values)
percent_list = [round(x/total_counts*100,2) for x in values]
new_title = ["Each Response","Counts"]
v_count_df.columns = new_title
v_count_df["Percentage"] = percent_list
return v_count_df
@session.download(filename =lambda: f"{input.role()}_{input.lea_region()}_of question: {qlist_qcontent_inverse_dict_sp[input.role()][input.question()]}.png")
def save_fig():
if total_status["authlevel"] == 1 or total_status["authlevel"] ==2:
#print("The role of the current log in is :", total_status["authlevel"])
role = input.role()
univ_region = input.univ_region()
topics =input.cate()
lea = input.lea_region()
qs = input.question()
if correct_or_not ==2:
lea = input.username()
univ_region = lea_univ_dict[lea]
if(role=="educator"):
df_curr = edu_df.copy()
reg_locator = "Q43"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_edu
elif(role=="principal"):
df_curr = prn_df.copy()
reg_locator = "Q7"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_prn
if qlist_qcontent_inverse_dict[qs] in table_only:
print("Dont save")
return
df_region = df_curr[df_curr[reg_locator]==lea]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
sz1,sz2 = df_region.shape
if (sz1 >=10):
#lea_or_univ =0
total_size = sz1
if (sz1<= 10):
lea_set = univ_reg_dict[univ_region]
df_region = df_curr[df_curr[reg_locator].isin(lea_set)]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
display_text = "Due to the privacy, the result of that LEA region will be hidden, instead, results of the University Region will be displayed"
sz1,sz2 = df_region.shape
total_size = sz1
v_count_df = pd.DataFrame(df_region_qs.value_counts(sort=True)).reset_index()
print(v_count_df)
question_code = v_count_df.columns[0]
values = list(v_count_df.iloc[:,1])
total_counts = sum(values)
percent_list = [round(x/total_counts*100,2) for x in values]
new_title_1 = ["Each Response","Percentage"]
v_count_df.columns = new_title_1
v_count_df["Percentage"] = percent_list
v_labels = list(v_count_df.iloc[:,0])
fig,ax = plt.subplots()
ax.pie(values,labels = v_labels,autopct = '%2.2f%%')
q_details = qlist_qcontent_dict[question_code]
#ax.set_title("Question "+str(question_code)+": "+q_details+" .")
else:
#print("logged out")
fig,ax = plt.subplots()
ax.set_title("LEA results will be shown after logged in!!!")
try:
role = input.role()
univ_region = input.univ_region()
topics =input.cate()
lea = input.lea_region()
qs = input.question()
except:
pass
if login_status ==1:
with io.BytesIO() as buf:
fig.savefig(buf, format="png")
yield buf.getvalue()
@session.download(
filename =lambda: f"{input.role()}_{input.lea_region()}_of question: {qlist_qcontent_inverse_dict_sp[input.role()][input.question()]}.csv"
)
async def save_result():
global lea_or_univ
nonlocal total_size
nonlocal value_counts
nonlocal login_status
role = input.role()
univ_region = input.univ_region()
lea = input.lea_region()
qs = input.question()
if(role=="educator"):
df_curr = edu_df.copy()
reg_locator = "Q43"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_edu
elif(role=="principal"):
df_curr = prn_df.copy()
reg_locator = "Q7"
qlist_qcontent_inverse_dict = qlist_qcontent_inverse_dict_prn
df_region = df_curr[df_curr[reg_locator]==lea]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
sz1,sz2 = df_region.shape
if (sz1 >=10):
lea_or_univ =0
total_size = sz1
if (sz1<= 10):
lea_set = univ_reg_dict[univ_region]
df_region = df_curr[df_curr[reg_locator].isin(lea_set)]
df_region_qs = df_region[qlist_qcontent_inverse_dict[qs]]
display_text = "Due to the privacy, the result of that LEA region will be hidden, instead, results of the University Region will be displayed"
sz1,sz2 = df_region.shape
lea_or_univ = 1
total_size = sz1
v_count_df = pd.DataFrame(df_region_qs.value_counts(sort=True)).reset_index()
question_code = v_count_df.columns[1]
values = list(v_count_df.iloc[:,1])
total_counts = sum(values)
percent_list = [round(x/total_counts*100,2) for x in values]
new_title = ["Each Response","Percentage"]
v_count_df.columns = new_title
v_count_df["Percentage"] = percent_list
#v_count_df.iloc[1,:] = percent_list
#new_title_pre = ["Answers","Question code: "+question_code]
#v_count_df.columns = new_title_pre
#v_count_df["Percentage"] = percent_list
new_title = v_count_df.columns
firstline = ""
secondline = ""
for i in range(2): # fix here
firstline += (new_title[i]+",")
secondline+= (str(v_count_df.iloc[1,i])+",")
firstline+="\n"
secondline+="\n"
sz_r1,sz_r2 = v_count_df.shape
if login_status ==1:
await asyncio.sleep(0.5)
yield new_title[0]+",Percentage"+"\n"
for i in range(sz_r1):
yield str(v_count_df.iloc[i,0])+","+str(v_count_df.iloc[i,1])+"\n"
@session.download(filename =lambda: f"Statewise_w/_{input.role()}_of question: {qlist_qcontent_inverse_dict_sp[input.role()][input.question()]}.png")
def save_fig_st():
role = input.role()
univ_region = " "
lea = " "
qs = input.question()
if qlist_qcontent_inverse_dict_sp[input.role()][input.question()] in table_only:
print("Dont save")
return
v_count_df,display_text,total_size =get_v_counts(role,univ_region,lea,qs,qlist_qcontent_inverse_dict_edu,qlist_qcontent_inverse_dict_prn,edu_df,prn_df,"a")
v_labels = list(v_count_df.iloc[:,0])
values = list(v_count_df.iloc[:,1])
displayed_table = v_count_df
#print(displayed_table)
from matplotlib import pyplot as plt
fig,ax = plt.subplots()
ax.pie(values,labels = v_labels,autopct = '%2.2f%%')
question_code = v_count_df.columns[1]
q_details = qlist_qcontent_dict[question_code]
#ax.set_title("Question "+str(question_code)+": "+q_details+" .")
with io.BytesIO() as buf:
fig.savefig(buf, format="png")
yield buf.getvalue()
@session.download(
filename =lambda: f"Statewise_w/_{input.role()}_of question: {qlist_qcontent_inverse_dict_sp[input.role()][input.question()]}.csv"
)
async def save_result_st():
role = input.role()
univ_region = " "
lea = " "
qs = input.question()
v_count_df,display_text,total_size =get_v_counts(role,univ_region,lea,qs,qlist_qcontent_inverse_dict_edu,qlist_qcontent_inverse_dict_prn,edu_df,prn_df,"a")
#v_count_df = pd.DataFrame(df_region_qs.value_counts(sort=True)).reset_index()
question_code = v_count_df.columns[1]
values = list(v_count_df.iloc[:,1])
total_counts = sum(values)
percent_list = [round(x/total_counts*100,2) for x in values]
new_title_pre = ["Response","Counts"]
v_count_df.columns = new_title_pre
v_count_df["Percentage"] = percent_list
new_title = v_count_df.columns
firstline = ""
secondline = ""
for i in range(3):
firstline += (new_title[i]+",")
secondline+= (str(v_count_df.iloc[1,i])+",")
firstline+="\n"
secondline+="\n"
"""
if login_status ==1:
buffer = io.BytesIO()
v_count_df.to_csv(buffer, sep=",", index=False, mode="wb", encoding="UTF-8")