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scoutingxtreme.py
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# To Do:
#
# Add data comparison and visual representation functionality
# Finish Data Editor
# Implement a working system log
# Add code modularity with easily modifiable functions or objects
# Add columns separator, column items and expanders to the Question Editor (columns)
############################################################################################################################################################################################################################################################################################
# Importing necessities
import streamlit as st
import os
import time
# Total rounds for the game
totalrounds = 0
# Modules that need to be installed
requiredmodules = [
"pandas",
"matplotlib",
"seaborn",
"minio"
]
requirements = ""
for module in requiredmodules:
requirements = requirements+f"\n{module}"
with open("requirements.txt", "w") as file:
file.write(requirements)
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sn
from io import StringIO
############################################################################################################################################################################################################################################################################################
# Program Start
import scoutingsrc as src
import scoutingbackup as backup
import questions
import cloudSave
st.set_page_config("Scouting XTREME", layout="wide", page_icon="icon.png", initial_sidebar_state="expanded")
pd.set_option("display.max_rows", None, "display.max_columns", None)
sidebar = st.sidebar
theme = """
[theme]
base="dark"
primaryColor="#ff3636"
backgroundColor="#0e0e0e"
secondaryBackgroundColor="#1e2029"
"""
if ["pitq", "matchq", "pitdata", "matchdata", "admin"] not in st.session_state:
st.session_state.pitq = questions.pitq
st.session_state.matchq = questions.matchq
st.session_state.pitdata = src.pitdata
st.session_state.matchdata = src.matchdata
st.session_state.admin = False
def gitpull(repo: str = None):
if repo:
os.system(f"git pull {repo}")
else:
os.system("git pull")
def gitpush(savemsg: str ="Update GitHub"):
os.system("git add .")
os.system(f"git commit -m \"{savemsg}\"")
os.system("git push")
os.system("git pull")
def savequestions(pitq=st.session_state.pitq, matchq=st.session_state.matchq):
writequestions = f"""
pitq = {pitq}
matchq = {matchq}
"""
print(writequestions)
try:
with open("questions.py", "w") as file:
file.write(writequestions)
print("Questions Saved.")
except:
print("Questions could not be saved.")
def savedata(pitdata=st.session_state.pitdata, matchdata=st.session_state.matchdata):
writedata = f"""
pitdata = {pitdata}
matchdata = {matchdata}
"""
print(writedata)
try:
with open("scoutingsrc.py", "w") as file:
file.write(writedata)
print("Data Saved.")
except:
print("Data could not be saved.")
def toCSV(data):
return data.to_csv(index=False).encode()
if st.session_state.pitdata == {}:
for i in st.session_state.pitq:
st.session_state.pitdata[i] = []
if st.session_state.matchdata == {}:
for i in st.session_state.matchq:
st.session_state.matchdata[i] = []
hometext = {
}
access = sidebar.expander("**:red[Login as Admin...]**")
accesslvl = access.radio("**Access Level:**", ["User", "Admin"])
pages = {
"user": [":blue[**Home**]", "**Add a Data Entry**", "**View Data**"],
"admin": [":blue[**Home**]", "**Add a Data Entry**", "**View Data**", "**Data Comparison**", "**Edit Items**", "**Edit Data**"],
"full": [":blue[**Home**]", "**Add a Data Entry**", "**View Data**", "**Data Comparison**", "**Visual Analysis**", "**Edit Items**", "**Edit Data**"]
}
if accesslvl == "Admin":
password = access.text_input("**Enter Admin Password:**", placeholder="Enter Password")
if password == st.secrets.adminpassword:
st.session_state.admin = True
if st.session_state.admin:
sect = sidebar.radio("Navigation:", pages['full'])
else:
sect = sidebar.radio("Navigation:", pages['user'])
pitcols = []
for i in st.session_state.pitdata.keys():
pitcols.append(i)
matchcols = []
for i in st.session_state.matchdata.keys():
matchcols.append(i)
if sidebar.button("Refresh Page"):
pass
if sect == ":blue[**Home**]":
st.title(":blue[Scouting]:red[XTREME]")
st.subheader("**Use the sidebar on the left to navigate the site.**")
st.write("---")
else:
st.title(sect)
st.write("---")
if sect == "**Add a Data Entry**":
datasect = st.radio("Which data would you like to add to?", ["Pit Data", "Match Data"])
inputs = []
if datasect == "Pit Data":
for q in st.session_state.pitq:
if st.session_state.pitq[q]["Type"] in ["Header", "Columns Separator", "Columns Item"]:
if st.session_state.pitq[q]["Type"] == "Header":
st.write("---")
st.header(q)
st.write("---")
else:
if st.session_state.pitq[q]["Type"] == "Number Input":
uin = str(st.number_input(f"**{q}**", st.session_state.pitq[q]["Minimum"], st.session_state.pitq[q]["Maximum"], step=1))
elif st.session_state.pitq[q]["Type"] == "Text Input":
uin = st.text_input(f"**{q}**", max_chars=st.session_state.pitq[q]["Character Limit"])
elif st.session_state.pitq[q]["Type"] == "Multiple Choice":
uin = st.radio(f"**{q}**", st.session_state.pitq[q]["Options"], index=st.session_state.pitq[q]["DefaultIndex"])
elif st.session_state.pitq[q]["Type"] == "Selection Box":
uin = st.selectbox(f"**{q}**", st.session_state.pitq[q]["Options"], index=st.session_state.pitq[q]["DefaultIndex"])
inputs.append(uin)
st.subheader("")
if st.button("Submit"):
for x, y in zip(st.session_state.pitdata.keys(), inputs):
st.session_state.pitdata[x].append(y)
write = f"""
pitdata = {st.session_state.pitdata}
matchdata = {st.session_state.matchdata}
"""
with open("scoutingsrc.py", "w") as file:
file.write(write)
else:
for q in st.session_state.matchq:
if st.session_state.matchq[q]["Type"] in ["Header", "Columns Separator", "Columns Item"]:
if st.session_state.matchq[q]["Type"] == "Header":
st.write("---")
st.header(q)
st.write("---")
else:
if st.session_state.matchq[q]["Type"] == "Number Input":
uin = str(st.number_input(f"**{q}**", st.session_state.matchq[q]["Minimum"], st.session_state.matchq[q]["Maximum"], step=1))
elif st.session_state.matchq[q]["Type"] == "Text Input":
uin = st.text_input(f"**{q}**", max_chars=st.session_state.matchq[q]["Character Limit"])
elif st.session_state.matchq[q]["Type"] == "Multiple Choice":
uin = st.radio(f"**{q}**", st.session_state.matchq[q]["Options"], index=st.session_state.matchq[q]["DefaultIndex"])
elif st.session_state.matchq[q]["Type"] == "Selection Box":
uin = st.selectbox(f"**{q}**", st.session_state.matchq[q]["Options"], index=st.session_state.matchq[q]["DefaultIndex"])
inputs.append(uin)
st.subheader("")
if st.button("Submit"):
for x, y in zip(st.session_state.matchdata.keys(), inputs):
st.session_state.matchdata[x].append(y)
write = f"""
pitdata = {st.session_state.pitdata}
matchdata = {st.session_state.matchdata}
"""
with open("scoutingsrc.py", "w") as file:
file.write(write)
elif sect == "**View Data**":
viewdata = sidebar.radio("Which data would you like to view?", ["Pit Data", "Match Data"])
st.header(viewdata)
if viewdata == "Pit Data":
data = st.session_state.pitdata
if viewdata == "Match Data":
data = st.session_state.matchdata
if type(data["Team No."]) == str:
teamnums = [data["Team No."]]
else:
teamnums = data["Team No."]
team = st.selectbox("Select a Team To View", pd.Series(["All"]+teamnums).unique())
ex1 = sidebar.expander("Selected Columns:")
st.write("---")
selectedcols = []
selectall = ex1.checkbox("Select All", value=True)
for i in data.keys():
if selectall:
checkbox = ex1.checkbox(i, value=True)
else:
checkbox = ex1.checkbox(i)
if checkbox:
selectedcols.append(i)
if type(data["Team No."]) == str:
teamnums = [data["Team No."]]
else:
teamnums = data["Team No."]
df = pd.DataFrame().from_dict(data)
rows = [i for i in range(len(df[selectedcols])) if df["Team No."][i] == team or team == "All"]
st.dataframe(df[selectedcols].iloc[rows], use_container_width=True, hide_index=True)
st.write("*Note: Double click on a cell to view all of its contents if it is cut off.*")
st.write("---")
c1, c2, c3, c4 = st.columns(4)
c1.write(f"**Teams Scouted:** {len(df['Team No.'].unique())}")
c2.write(f"**Total Entries:** {len(df)}")
c3.write(f"**Rounds Scouted:** {len(pd.Series(st.session_state.matchdata['Round No.']).unique())}")
c4.write(f"**Total Rounds:** {totalrounds}")
c1, c2 = st.columns(2)
ex1, ex2 = c1.expander("Download Data"), c2.expander("Import Data")
datatxt = str(df[selectedcols])
datacsv = toCSV(df[selectedcols])
ex1.subheader("Download Data")
filename = ex1.text_input("Data File Name (no extension):", "scoutingdata")
downloadtxt = ex1.download_button("Download as Text File", datatxt, filename+".txt")
downloadcsv = ex1.download_button("Download as CSV File", datacsv, filename+".csv")
ex2.subheader("Import CSV Data")
ex2.write("**FILE COLUMN NAMES MUST MATCH DATA COLUMN NAMES**")
datafiles = []
for file in os.listdir():
if '.csv' in file[-4:]:
datafiles.append(file)
userfile = ex2.file_uploader("")
if userfile != None:
if userfile.name[-4:] != ".csv":
st.subheader("This is not a valid .csv data file. Please use a different file.")
else:
strio = StringIO(userfile.getvalue().decode("utf-8"))
with open(userfile.name, "w") as file:
file.write(strio.read())
dataset = ex2.radio("**Import To:**", ["Pit Data", "Match Data"])
mode = ex2.radio("**Do you want to add to or replace the existing data?**", ["Add Data", "Replace Data"])
newdata = pd.read_csv(userfile.name).to_dict()
for col in newdata:
coldata = []
for row in newdata[col]:
coldata.append(str(newdata[col][row]))
newdata[col] = coldata
if ex2.button("Import Data"):
if mode == "Replace Data":
if dataset == "Pit Data":
st.session_state.pitdata = newdata
if dataset == "Match Data":
st.session_state.matchdata = newdata
if mode == "Add Data":
if dataset == "Pit Data":
for col in newdata:
st.session_state.pitdata[col] += newdata[col]
if dataset == "Match Data":
for col in newdata:
st.session_state.matchdata[col] += newdata[col]
if downloadtxt:
c1.write(f"**Successfully downloaded data as {filename}.txt**")
if downloadcsv:
c1.write(f"**Successfully downloaded data as {filename}.txt**")
elif sect == "**Data Comparison**":
viewdata = sidebar.radio("Which data would you like to analyze?", ["Pit Data", "Match Data"])
criteria = sidebar.expander("**Data Selection**")
selectedcols = []
criteria.write("**What data do you want to see?**")
with st.expander(f"**{viewdata}**"):
st.header(viewdata)
if viewdata == "Pit Data":
data = st.session_state.pitdata
dataq = st.session_state.pitq
if viewdata == "Match Data":
data = st.session_state.matchdata
dataq = st.session_state.matchq
for col in data:
if "Text Input" != dataq[col]["Type"] and criteria.checkbox(col, True):
selectedcols.append(col)
df = pd.DataFrame().from_dict(data)
st.dataframe(df[selectedcols], use_container_width=True, hide_index=True)
compareval = criteria.radio("**What data do you want to compare by?**", [col for col in df.columns if "Text Input" != dataq[col]["Type"]])
viewmode = criteria.radio("**Viewing Mode:**", ["Occurrences", "Percentages"])
showavg = criteria.checkbox("Show Averages For Numerical Values", True)
st.subheader(f"Comparison By `{compareval}`")
c1, c2 = st.columns(2)
val1 = c1.selectbox(f"Value 1", df[compareval].unique())
for col in [col for col in selectedcols if col not in (compareval, "Team No.", "Round No.")]:
write = f"`{col}`: `"
if dataq[col]["Type"] == "Number Input" and showavg:
val1lst = [float(data[col][i]) for i in range(len(data[col])) if data[compareval][i] == val1]
avg = sum(val1lst)/len(val1lst)
write += f"{avg} AVG."
c1.write(write+"`")
else:
items = {}
for val in df[col].unique():
items[val] = 0
for item in range(len(data[col])):
if data[compareval][item] == val1:
items[data[col][item]] += 1
totalvals = 0
for val in items.values():
totalvals += val
for item, val in zip(items, items.values()):
if viewmode == "Percentages":
write += f"{item}: {round(val/totalvals*100, 2)}%, "
else:
write += f"{item}: {val}, "
c1.write(write[:-2]+"`")
val2 = c2.selectbox(f"Value 2", df[compareval].unique())
for col in [col for col in selectedcols if col not in (compareval, "Team No.", "Round No.")]:
write = f"`{col}`: `"
if dataq[col]["Type"] == "Number Input" and showavg:
val2lst = [float(data[col][i]) for i in range(len(data[col])) if data[compareval][i] == val2]
avg = sum(val2lst)/len(val2lst)
write += f"{avg} AVG."
c2.write(write+"`")
else:
items = {}
for val in df[col].unique():
items[val] = 0
for item in range(len(data[col])):
if data[compareval][item] == val2:
items[data[col][item]] += 1
totalvals = 0
for val in items.values():
totalvals += val
for item, val in zip(items, items.values()):
if viewmode == "Percentages":
write += f"{item}: {round(val/totalvals*100, 2)}%, "
else:
write += f"{item}: {val}, "
c2.write(write[:-2]+"`")
elif sect == "**Visual Analysis**":
plt.style.use('seaborn-dark-palette')
opts = sidebar.expander("Options")
shownull = opts.checkbox("Show percentage of missing data", True)
choosedata = opts.radio("What data set do you want to view?", ["Pit Data", "Match Data"])
if choosedata == "Match Data":
data = st.session_state.pitdata
else:
data = st.session_state.matchdata
cols = data.keys()
stat = opts.selectbox("Select A Data Catagory:", [i for i in cols if i not in ["Match No.", "Team No.", "Extra Notes"]])
numofteams = opts.number_input("How many teams do you want to show?", 1, 4)
teams = []
if shownull:
nullvals = []
else:
nullvals = ["N/A", "nan"]
st.title(f"Shown Statistic: *{stat}*")
st.write("---")
c1, c2 = st.columns(2)
for t in range(numofteams):
team = opts.selectbox(f"Team {t+1}:", [i for i in pd.Series(data["Team No."]).unique() if i not in teams])
teams.append(team)
cats = [cat for cat in pd.Series(data[stat]).unique() if cat not in nullvals]
statdata = [data[stat][i] for i in range(len(data[stat])) if data["Team No."][i] == team]
piedata = [0 for i in cats]
datainc = []
for x in range(len(cats)):
for y in statdata:
if y == cats[x]:
piedata[x] += 1
if piedata[x] > 0:
datainc.append(cats[x])
if t % 2 == 0:
tc1, tc2, tc3 = c1.columns(3)
tc2.title(f"{team}")
fig, ax = plt.subplots(figsize=(15, 3), frameon=False, edgecolor="white")
patches, texts, pcts = ax.pie([i for i in piedata if i > 0], labels=[i for i in cats if i in datainc], explode=[0.0025 for i in range(len(datainc))], autopct="%.2f", colors=sn.color_palette("dark"), wedgeprops={"linewidth": 2.5, "edgecolor": "white"})
for i, patch in enumerate(patches):
texts[i].set_color(patch.get_facecolor())
plt.setp(pcts, color="white", fontweight="bold")
plt.setp(texts, fontweight=600, fontsize=15)
c1.pyplot(fig)
else:
tc1, tc2, tc3 = c2.columns(3)
tc2.title(f"{team}")
fig, ax = plt.subplots(figsize=(15, 3), frameon=False, edgecolor="white")
patches, texts, pcts = ax.pie([i for i in piedata if i > 0], labels=[i for i in cats if i in datainc], explode=[0.0025 for i in range(len(datainc))], autopct="%.2f", colors=sn.color_palette("dark"), wedgeprops={"linewidth": 2.5, "edgecolor": "white"})
for i, patch in enumerate(patches):
texts[i].set_color(patch.get_facecolor())
plt.setp(pcts, color="white", fontweight="bold")
plt.setp(texts, fontweight=600)
c2.pyplot(fig)
elif sect == "**Edit Items**":
c1, c2 = st.columns(2)
ex1 = c1.expander("Current Pit Items")
if len(st.session_state.pitq) == 0:
ex1.header("No Pit Items Added Yet.")
else:
ex1.header("Current Pit Items")
for m in st.session_state.pitq:
items = [i for i in st.session_state.pitq.keys()]
num = items.index(m)
if st.session_state.pitq[m]["Type"] == "Header":
ex1.subheader(f":blue[{num+1}. {m}] - :red[Header]")
else:
ex1.subheader(f"{num+1}. {m}")
for x, y in st.session_state.pitq[m].items():
if x == "Options":
msg = f" - **{x}**: "
for i in st.session_state.pitq[m][x]:
msg += f"{i}, "
msg = msg[:-2]
ex1.write(msg)
elif st.session_state.pitq[m]["Type"] != "Header":
ex1.write(f" - **{x}**: {y}")
ex1.write("---")
ex2 = c2.expander("Current Match Items")
if len(st.session_state.matchq) == 0:
ex2.header("No Match Items Added Yet.")
else:
ex2.header("Current Match Items")
for m in st.session_state.matchq:
items = [i for i in st.session_state.matchq.keys()]
num = items.index(m)
if st.session_state.matchq[m]["Type"] == "Header":
ex2.subheader(f":blue[{num+1}. {m}] - :red[Header]")
else:
ex2.subheader(f"{num+1}. {m}")
for x, y in st.session_state.matchq[m].items():
if x == "Options":
msg = f" - **{x}**: "
for i in st.session_state.matchq[m][x]:
msg += f"{i}, "
msg = msg[:-2]
ex2.write(msg)
elif st.session_state.matchq[m]["Type"] != "Header":
ex2.write(f" - **{x}**: {y}")
ex2.write("---")
qsect = sidebar.radio("**Which set of questions would you like to edit?**", ["Pit", "Match"])
qedit = sidebar.radio("**What would you like to do?**", ["Add a question", "Remove a question", "Insert a question into a specific position"])
if qedit == "Remove a question":
if qsect == "Pit":
st.write("**Note: Removing items will remove ALL DATA associated with that item. The first 2 items cannot be removed, as they are necessary for the software to function, and are universal questions.**")
if len(st.session_state.pitq) == 0:
st.header("There are no pit questions yet.")
else:
try:
itemnum = st.number_input("**Enter the number of the item you'd like to remove:**", 3, len(st.session_state.pitq), step=1)-1
items = [i for i in st.session_state.pitq]
if sidebar.button("Remove Item"):
if items[itemnum] in st.session_state.pitdata:
del st.session_state.pitdata[items[itemnum]]
if items[itemnum] in st.session_state.pitq:
del st.session_state.pitq[items[itemnum]]
savedata()
savequestions()
sidebar.subheader("Item Removed Successfully.")
except:
st.write(f"**There are no existing items that can be removed in the {qsect} Data.**")
if qsect == "Match":
st.write("**Note: Removing items will remove ALL DATA associated with that item. The first 3 items cannot be removed, as they are necessary for the software to function, and are universal questions.**")
try:
itemnum = st.number_input("**Enter the number of the item you'd like to remove:**", 4, len(st.session_state.matchq), step=1)-1
items = [i for i in st.session_state.matchq]
if sidebar.button("Remove Item"):
if items[itemnum] in st.session_state.matchdata:
del st.session_state.matchdata[items[itemnum]]
if items[itemnum] in st.session_state.matchq:
del st.session_state.matchq[items[itemnum]]
savedata()
savequestions()
sidebar.subheader("Item Removed Successfully.")
except:
st.write(f"**There are no existing items that can be removed in the {qsect} Data.**")
elif qedit == "Insert a question into a specific position":
st.write("**Note: Inserting a question in a certain position will cause the question in its spot (as well as those after it) to be pushed one position forward (towards the end).**")
if qsect == "Pit":
if len(st.session_state.pitq) > 2:
pos = st.sidebar.number_input("What position do you want to insert this at?", step=1, min_value=3, max_value=len(st.session_state.pitq))-1
if len(st.session_state.pitq) == 0:
st.subheader(f"No {qsect} Items Added Yet.")
c3, c4 = st.columns(2)
qtypes = ["Header", "Selection Box", "Multiple Choice", "Number Input", "Text Input"]
qtype = c1.selectbox("**What type of element would you like to add?**", qtypes)
if qtype == "Header":
qname = c2.text_input("**What should the header say?**")
if sidebar.button("Insert Item"):
st.session_state.pitq = list(st.session_state.pitq.items())
st.session_state.pitq.insert(pos, (qname, {"Type": "Header"}))
st.session_state.pitq = dict(st.session_state.pitq)
savedata()
savequestions()
else:
qname = c2.text_input("**What should this question ask?**")
if qtype in "Text Input":
if sidebar.button("Insert Item"):
st.session_state.pitq = list(st.session_state.pitq.items())
st.session_state.pitq.insert(pos, (qname, {"Type": qtype, "Character Limit": 200}))
st.session_state.pitq = dict(st.session_state.pitq)
savedata()
savequestions()
elif qtype in "Number Input":
qmin = c1.number_input("**Minimum Value**", step=1)
qmax = c2.number_input("**Maximum Value**", step=1)
if sidebar.button("Insert Item"):
st.session_state.pitq = list(st.session_state.pitq.items())
st.session_state.pitq.insert(pos, (qname, {"Type": qtype, "Minimum": qmin, "Maximum": qmax}))
st.session_state.pitq = dict(st.session_state.pitq)
savedata()
savequestions()
else:
qoptsnum = c1.number_input("**How many options should this question have?**", min_value=2, step=1)
qdefindex = c2.number_input("**Enter the number of the option that this question should default to:**", min_value=1, max_value=qoptsnum, step=1)-1
qopts = []
if qoptsnum > 0:
for q in range(qoptsnum):
qopts.append(st.text_input(f"Option {q+1}:"))
if sidebar.button("Insert Item"):
st.session_state.pitq = list(st.session_state.pitq.items())
st.session_state.pitq.insert(pos, (qname, {"Type": qtype, "Options": qopts, "DefaultIndex": qdefindex}))
st.session_state.pitq = dict(st.session_state.pitq)
savedata()
savequestions()
else:
st.write("**You need to add a question before you can insert questions.**")
if qsect == "Match":
if len(st.session_state.matchq) > 3:
pos = st.sidebar.number_input("What position do you want to insert this at?", step=1, min_value=4, max_value=len(st.session_state.matchq))-1
if len(st.session_state.matchq) == 0:
st.subheader(f"No {qsect} Items Added Yet.")
c3, c4 = st.columns(2)
qtypes = ["Header", "Selection Box", "Multiple Choice", "Number Input", "Text Input"]
qtype = c1.selectbox("**What type of element would you like to add?**", qtypes)
if qtype == "Header":
qname = c2.text_input("**What should the header say?**")
if sidebar.button("Insert Item"):
st.session_state.matchq = list(st.session_state.matchq.items())
st.session_state.matchq.insert(pos, (qname, {"Type": "Header"}))
st.session_state.matchq = dict(st.session_state.matchq)
savedata()
savequestions()
else:
qname = c2.text_input("**What should this question ask?**")
if qtype in "Text Input":
if sidebar.button("Insert Item"):
st.session_state.matchq = list(st.session_state.matchq.items())
st.session_state.matchq.insert(pos, (qname, {"Type": qtype, "Character Limit": 200}))
st.session_state.matchq = dict(st.session_state.matchq)
savedata()
savequestions()
elif qtype in "Number Input":
qmin = c1.number_input("**Minimum Value**", step=1)
qmax = c2.number_input("**Maximum Value**", step=1)
if sidebar.button("Insert Item"):
st.session_state.matchq = list(st.session_state.matchq.items())
st.session_state.matchq.insert(pos, (qname, {"Type": qtype, "Minimum": qmin, "Maximum": qmax}))
st.session_state.matchq = dict(st.session_state.matchq)
savedata()
savequestions()
else:
qoptsnum = c1.number_input("**How many options should this question have?**", min_value=2, step=1)
qdefindex = c2.number_input("**Enter the number of the option that this question should default to:**", min_value=1, max_value=qoptsnum, step=1)-1
qopts = []
if qoptsnum > 0:
for q in range(qoptsnum):
qopts.append(st.text_input(f"Option {q+1}:"))
if sidebar.button("Insert Item"):
st.session_state.matchq = list(st.session_state.matchq.items())
st.session_state.matchq.insert(pos, (qname, {"Type": qtype, "Options": qopts, "DefaultIndex": qdefindex}))
st.session_state.matchq = dict(st.session_state.matchq)
savedata()
savequestions()
else:
st.write("**You need to add a question before you can insert questions.**")
else:
if qsect == "Pit":
if len(st.session_state.pitq) == 0:
st.subheader(f"No {qsect} Items Added Yet.")
qtypes = ["Header", "Selection Box", "Multiple Choice", "Number Input", "Text Input"]
qtype = c1.selectbox("**What type of element would you like to add?**", qtypes)
if qtype == "Header":
qname = c2.text_input("**What should the header say?**")
if sidebar.button("Add Item"):
st.session_state.pitq[qname] = {"Type": qtype}
savedata()
savequestions()
else:
qname = c2.text_input("**What should this question ask?**")
if qtype in "Text Input":
if sidebar.button("Add Item"):
st.session_state.pitq[qname] = {"Type": qtype, "Character Limit": 200}
newcol = ["N/A" for i in range(len(st.session_state.pitdata['Team No.']))]
st.session_state.pitdata[qname] = newcol
savedata()
savequestions()
elif qtype in "Number Input":
qmin = c1.number_input("**Minimum Value**", step=1)
qmax = c2.number_input("**Maximum Value**", step=1)
if sidebar.button("Add Item"):
st.session_state.pitq[qname] = {"Type": qtype, "Minimum": qmin, "Maximum": qmax}
newcol = ["N/A" for i in range(len(st.session_state.pitdata['Team No.']))]
st.session_state.pitdata[qname] = newcol
savedata()
savequestions()
else:
qoptsnum = c1.number_input("**How many options should this question have?**", 2, step=1)
qdefindex = c2.number_input("**Enter the number of the option that this question should default to:**", min_value=1, max_value=qoptsnum, step=1)-1
qopts = []
if qoptsnum > 0:
for q in range(qoptsnum):
qopts.append(st.text_input(f"Option {q+1}:"))
if sidebar.button("Add Item"):
st.session_state.pitq[qname] = {"Type": qtype, "Options": qopts, "DefaultIndex": qdefindex}
newcol = ["N/A" for i in range(len(st.session_state.pitdata['Team No.']))]
st.session_state.pitdata[qname] = newcol
savedata()
savequestions()
if qsect == "Match":
if len(st.session_state.matchq) == 0:
st.subheader(f"No {qsect} Items Added Yet.")
qtypes = ["Header", "Selection Box", "Multiple Choice", "Number Input", "Text Input"]
qtype = c1.selectbox("**What type of element would you like to add?**", qtypes)
if qtype == "Header":
qname = c2.text_input("**What should the header say?**")
if sidebar.button("Add Item"):
st.session_state.matchq[qname] = {"Type": qtype}
savedata()
savequestions()
else:
qname = c2.text_input("**What should this question ask?**")
if qtype in "Text Input":
if sidebar.button("Add Item"):
st.session_state.matchq[qname] = {"Type": qtype, "Character Limit": 200}
newcol = ["N/A" for i in range(len(st.session_state.pitdata['Team No.']))]
st.session_state.pitdata[qname] = newcol
savedata()
savequestions()
elif qtype in "Number Input":
qmin = c1.number_input("**Minimum Value**", step=1)
qmax = c2.number_input("**Maximum Value**", step=1)
if sidebar.button("Add Item"):
st.session_state.matchq[qname] = {"Type": qtype, "Minimum": qmin, "Maximum": qmax}
newcol = ["N/A" for i in range(len(st.session_state.matchdata['Team No.']))]
st.session_state.matchdata[qname] = newcol