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stmoduls.py
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stmoduls.py
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import streamlit as st
import pandas as pd
import docx2txt
import display
import plots
def app_settings() -> tuple:
version = 1.0
train = "stable"
st.set_page_config(layout="wide")
st.write(f"""
# Personal Interactive Status Monitor
Caffeine release v{version} - train {train}
""")
st.sidebar.write('**Settings**')
st.sidebar.write('File selection')
file = st.sidebar.file_uploader("Upload a CHECK file", help='Pick a file to process', accept_multiple_files=False, type=['xlsx'])
clinic_file = st.sidebar.file_uploader("Upload a clinic file", help='Pick a clinic file to read', accept_multiple_files=False, type=['txt', 'docx'])
st.sidebar.write('Trend selection')
all_trends = st.sidebar.checkbox('Show all trends', value=True)
trend = str()
if not all_trends:
trend = st.sidebar.selectbox('Select a trend to analyze...', ('Weight', 'Shoulders', 'Chest', 'Arms', 'Waist', 'Legs', 'Calfs', 'Buttock', 'Plicometry'), index=0)
st.sidebar.write('Plot customization')
color = st.sidebar.color_picker("Circunferences color", '#7200F9', help='Plot color')
color_plico = st.sidebar.color_picker("Plicometry color", '#83F900', help='Plicometry color')
st.sidebar.write('**Developer Info**')
if st.sidebar.checkbox(label="Discover Who I Am"):
st.sidebar.text("Developed by Enrico Catanzani")
st.sidebar.text("All rights reserved")
st.sidebar.markdown("check out my [GitHub](https://github.com/ecatanzani)")
return (file, clinic_file, all_trends, trend, color, color_plico)
def parse_text_clinic(clinic: str):
for line in clinic:
decoded_line = str(line.rstrip(),'utf-8')
st.text(decoded_line)
def parse_docx_clinic(clinic: str):
st.text(docx2txt.process(clinic))
def client_details(details: tuple, clinic: str):
expander = st.expander(label="Expand client details")
with expander:
if st.checkbox('Expand client details', value=False, help='Show client details'):
display.display_client_details(details[0])
if clinic is not None:
if st.checkbox('Expand client clinic', value=False, help='Show client clinic'):
if (clinic.name).endswith('.txt'):
parse_text_clinic(clinic)
if (clinic.name).endswith('.docx'):
parse_docx_clinic(clinic)
if st.checkbox('Expand measurements', value=False, help='Show all measurements'):
display.display_dataset(details[1])
st.write("")
def weight(measurements: dict, color: str):
st.write('# Weight')
# Show macros if present, otherwise just weight
if measurements['carbo']:
weight, weight_macro, weight_macro_stack = st.columns(3)
with weight:
plots.single_plot(measurements, yvar="weight", yvar_name="Weight (Kg)", plot_title="Weight Time Evolution", style_color=color)
with weight_macro:
plots.macro_plain(measurements, style_color=color)
with weight_macro_stack:
plots.macro_stack(measurements)
display.display_var_details(measurements, var_title="weight", var="weight", var_name="Weight (Kg)", mu="Kg", plot_title="Weight Distribution", style_color=color)
st.write('# Macros')
wcorr_macro1, wcorr_macro2, wcorr_macro3 = st.columns(3)
with wcorr_macro1:
plots.correlation_plot(measurements, xvar="weight", xvar_name="Weight (Kg)", yvar="carbo", yvar_name="Carbo", plot_title="Weight and Carbo correlation", style_color=color)
with wcorr_macro2:
plots.correlation_plot(measurements, xvar="weight", xvar_name="Weight (Kg)", yvar="proteins", yvar_name="Proteins", plot_title="Weight and Proteins correlation", style_color=color)
with wcorr_macro3:
plots.correlation_plot(measurements, xvar="weight", xvar_name="Weight (Kg)", yvar="fat", yvar_name="Fat", plot_title="Weight and Fat correlation", style_color=color)
plots.weight_macro_correlation_plot(measurements)
else:
plots.single_plot(measurements, yvar="weight", yvar_name="Weight (Kg)", plot_title="Weight Time Evolution", style_color=color)
display.display_var_details(measurements, var_title="weight", var="weight", var_name="Weight (Kg)", mu="Kg", plot_title="Weight Distribution", style_color=color)
def shoulders(measurements: dict, color: str):
st.write('# Shoulders')
plots.single_plot(measurements, yvar="shoulder", yvar_name="Shoulder (cm)", plot_title="Shoulder Time Evolution", style_color=color)
display.display_var_details(measurements, var_title="shoulder", var="shoulder", var_name="Shoulder (cm)", mu="cm", plot_title="Shoulder Distribution", style_color=color)
def chest(measurements: dict, color: str):
st.write('# Chest')
plots.single_plot(measurements, yvar="chest", yvar_name="Chest (cm)", plot_title="Chest Time Evolution", style_color=color)
display.display_var_details(measurements, var_title="chest", var="chest", var_name="Chest (cm)", mu="cm", plot_title="Chest Distribution", style_color=color)
def arm(measurements: dict, color: str):
st.write('# Arm')
right_arm, left_arm, arm_correlation = st.columns(3)
with right_arm:
plots.single_plot(measurements, yvar="arm_dx", yvar_name="Arm dx (cm)", plot_title="Arm dx Time Evolution", style_color=color)
with left_arm:
plots.single_plot(measurements, yvar="arm_sx", yvar_name="Arm sx (cm)", plot_title="Arm sx Time Evolution", style_color=color)
with arm_correlation:
plots.correlation_plot(measurements, xvar="arm_dx", xvar_name="Arm dx (cm)", yvar="arm_sx", yvar_name="Arm sx (cm)", plot_title="Arm Correlation", style_color=color)
display.display_var_details(measurements, var_title="arm dx", var="arm_dx", var_name="Arm dx (cm)", mu="cm", plot_title="Arm dx Distribution", style_color=color)
display.display_var_details(measurements, var_title="arm sx", var="arm_sx", var_name="Arm sx (cm)", mu="cm", plot_title="Arm sx Distribution", style_color=color)
def waist(measurements: dict, color: str):
st.write('# Waist')
plots.single_plot(measurements, yvar="waist", yvar_name="Waist (cm)", plot_title="Waist Time Evolution", style_color=color, reverse_bullets=True)
display.display_var_details(measurements, var_title="waist", var="waist", var_name="Waist (cm)", mu="cm", plot_title="Waist Distribution", style_color=color)
def legs(measurements: dict, color: str):
st.write('# Legs')
st.write('**Leg roin**')
right_leg, left_leg, leg_correlation = st.columns(3)
with right_leg:
plots.single_plot(measurements, yvar="leggroin_dx", yvar_name="Leg roin dx (cm)", plot_title="Leg roin dx Time Evolution", style_color=color)
with left_leg:
plots.single_plot(measurements, yvar="leggroin_sx", yvar_name="Leg roin sx (cm)", plot_title="Leg roin sx Time Evolution", style_color=color)
with leg_correlation:
plots.correlation_plot(measurements, xvar="leggroin_dx", xvar_name="Leg roin dx (cm)", yvar="leggroin_sx", yvar_name="Leg roin sx (cm)", plot_title="Leg Roin Correlation", style_color=color)
display.display_var_details(measurements, var_title="leg roin dx", var="leggroin_dx", var_name="Leg roin dx (cm)", mu="cm", plot_title="Leg roin dx Distribution", style_color=color)
display.display_var_details(measurements, var_title="leg roin sx", var="leggroin_sx", var_name="Leg roin sx (cm)", mu="cm", plot_title="Leg roin sx Distribution", style_color=color)
st.write('**Half leg**')
right_leg, left_leg, leg_correlation = st.columns(3)
with right_leg:
plots.single_plot(measurements, yvar="leghalf_dx", yvar_name="Leg half dx (cm)", plot_title="Leg half dx Time Evolution", style_color=color)
with left_leg:
plots.single_plot(measurements, yvar="leghalf_sx", yvar_name="Leg half sx (cm)", plot_title="Leg half sx Time Evolution", style_color=color)
with leg_correlation:
plots.correlation_plot(measurements, xvar="leghalf_dx", xvar_name="Leg half dx (cm)", yvar="leghalf_sx", yvar_name="Leg half sx (cm)", plot_title="Half Leg Correlation", style_color=color)
display.display_var_details(measurements, var_title="half leg dx", var="leghalf_dx", var_name="Half Leg dx (cm)", mu="cm", plot_title="Half Leg dx Distribution", style_color=color)
display.display_var_details(measurements, var_title="half leg sx", var="leghalf_sx", var_name="Half Leg sx (cm)", mu="cm", plot_title="Half Leg sx Distribution", style_color=color)
def calf(measurements: dict, color: str):
st.write('# Calf')
right_leg, left_leg, leg_correlation = st.columns(3)
with right_leg:
plots.single_plot(measurements, yvar="calf_dx", yvar_name="Calf dx (cm)", plot_title="Calf dx Time Evolution", style_color=color)
with left_leg:
plots.single_plot(measurements, yvar="calf_sx", yvar_name="Calf sx (cm)", plot_title="Calf sx Time Evolution", style_color=color)
with leg_correlation:
plots.correlation_plot(measurements, xvar="calf_dx", xvar_name="Calf dx (cm)", yvar="calf_sx", yvar_name="Calf sx (cm)", plot_title="Calf Correlation", style_color=color)
def buttock(measurements: dict, color: str):
st.write('# Buttock')
plots.single_plot(measurements, yvar="buttock", yvar_name="Nuttock (cm)", plot_title="Buttock Time Evolution", style_color=color)
display.display_var_details(measurements, var_title="buttock", var="buttock", var_name="Buttock (cm)", mu="cm", plot_title="Buttock Distribution", style_color=color)
def plicometry(header: dict, plicometry_measurements: dict, measurements: dict, color: str):
st.write('# Plicometry')
axillary, pectoral, side = st.columns(3)
with axillary:
plots.single_plot(plicometry_measurements, yvar="axillary", yvar_name="Axillary (cm)", plot_title="Axillary Time Evolution", style_color=color, reverse_bullets=True)
with pectoral:
plots.single_plot(plicometry_measurements, yvar="pectoral", yvar_name="Pectoral (cm)", plot_title="Pectoral Time Evolution", style_color=color, reverse_bullets=True)
with side:
plots.single_plot(plicometry_measurements, yvar="side", yvar_name="Side (cm)", plot_title="Side Time Evolution", style_color=color, reverse_bullets=True)
axillary_det, pectoral_det, side_det = st.columns(3)
with axillary:
display.display_var_details(plicometry_measurements, var_title="anxillary", var="axillary", var_name="Anxillary (cm)", mu="cm", plot_title="Anxillary Distribution", style_color=color)
with pectoral:
display.display_var_details(plicometry_measurements, var_title="pectoral", var="pectoral", var_name="Pectoral (cm)", mu="cm", plot_title="Pectoral Distribution", style_color=color)
with side:
display.display_var_details(plicometry_measurements, var_title="side", var="side", var_name="Side (cm)", mu="cm", plot_title="Side Distribution", style_color=color)
scapula, navel, triceps = st.columns(3)
with scapula:
plots.single_plot(plicometry_measurements, yvar="scapula", yvar_name="Scapula (cm)", plot_title="Scapula Time Evolution", style_color=color, reverse_bullets=True)
with navel:
plots.single_plot(plicometry_measurements, yvar="navel", yvar_name="Navel (cm)", plot_title="Navel Time Evolution", style_color=color, reverse_bullets=True)
with triceps:
plots.single_plot(plicometry_measurements, yvar="triceps", yvar_name="Triceps (cm)", plot_title="Triceps Time Evolution", style_color=color, reverse_bullets=True)
scapula_det, navel_det, triceps_det = st.columns(3)
with scapula_det:
display.display_var_details(plicometry_measurements, var_title="scapula", var="scapula", var_name="Scapula (cm)", mu="cm", plot_title="Scapula Distribution", style_color=color)
with navel_det:
display.display_var_details(plicometry_measurements, var_title="navel", var="navel", var_name="Navel (cm)", mu="cm", plot_title="Navel Distribution", style_color=color)
with triceps_det:
display.display_var_details(plicometry_measurements, var_title="triceps", var="triceps", var_name="Triceps (cm)", mu="cm", plot_title="Triceps Distribution", style_color=color)
thich, _, _ = st.columns(3)
with thich:
plots.single_plot(plicometry_measurements, yvar="thich", yvar_name="Thich (cm)", plot_title="Thich Time Evolution", style_color=color, reverse_bullets=True)
thich_det, _, _ = st.columns(3)
with thich_det:
display.display_var_details(plicometry_measurements, var_title="thich", var="thich", var_name="Thich (cm)", mu="cm", plot_title="Thich Distribution", style_color=color)
expander = st.expander(label="Expand plicometric trades")
with expander:
plots.plicometry_trade_all(plicometry_measurements)
expander = st.expander(label="Expand plicometric correlation trades")
with expander:
plots.plicometry_correlation_trades(plicometry_measurements, style_color=color)
# Build reduced DF
reduced_dr = pd.DataFrame({
"axillary": plicometry_measurements['axillary'],
"pectoral": plicometry_measurements['pectoral'],
"side": plicometry_measurements['side'],
"scapula": plicometry_measurements['scapula'],
"navel": plicometry_measurements['navel'],
"triceps": plicometry_measurements['triceps'],
"thich": plicometry_measurements['thich']
})
reduced_dr["sum"] = reduced_dr.sum(axis=1)
reduced_dr["sum2"] = pow(reduced_dr["sum"], 2)
reduced_dr["density"] = (1.112-(0.00043499*reduced_dr["sum"]) + (0.00000055*reduced_dr["sum2"]) - (0.00028826*header['age']))
reduced_dr["jp"] = (495/reduced_dr['density']-450)
reduced_dr["fm"] = measurements['weight']*reduced_dr['jp']/100
reduced_dr["lbm"] = measurements['weight'] - reduced_dr["fm"]
# Add date to the reduced DF as last step (otherwise sum is altered)
reduced_dr["Date"] = plicometry_measurements['date']
#plots.single_plot_df(reduced_dr, yvar="density", plot_title="Density Time Evolution", style_color=color, reverse_bullets=True)
#plots.single_plot_df(reduced_dr, yvar="jp", plot_title="JP Time Evolution", style_color=color, reverse_bullets=True)
fat_mass, lean_body_mass, _ = st.columns(3)
with fat_mass:
plots.single_plot_df(reduced_dr, yvar="fm", plot_title="Fat Mass Time Evolution", style_color=color, reverse_bullets=True)
with lean_body_mass:
plots.single_plot_df(reduced_dr, yvar="lbm", plot_title="Lean Body Mass Time Evolution", style_color=color, reverse_bullets=False)