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import streamlit as st
import pandas as pd
import plotly.express as px
from datetime import datetime
import emoji
current_day = datetime.now().day
dataframe=""
def day_without_sunday():
if current_day > 7:
return current_day-1
elif current_day > 14:
return current_day-2
elif current_day > 21:
return current_day - 3
else: return current_day-4
st.set_page_config(page_title="Rapport FDV",
page_icon=":bar_chart:",
layout="wide"
)
df = pd.read_excel(
io="suivi.xlsx",
engine="openpyxl",
sheet_name=["TANGER","QUALI NV"],
#skiprows=8,
usecols="A:AC",
#nrows=163,
)
# st.dataframe(df)
# ------Sidebar-------
st.sidebar.header("Filter:")
uploaded_file = st.sidebar.file_uploader("Choose a file")
if uploaded_file is not None:
# To read file as bytes:
# bytes_data = uploaded_file.getvalue()
df = pd.read_excel(uploaded_file,
engine="openpyxl",
sheet_name=["TANGER","QUALI NV"],
usecols="A:AC",
nrows=163,
)
quantitatif_df=df.get("TANGER")
qualitatif_df=df.get("QUALI NV")
# st.write(bytes_data)
show_all_fdv = st.sidebar.checkbox('Tout les FDV')
vendeur = st.sidebar.multiselect(
"Vendeur:",
options=quantitatif_df["Vendeur"].unique(),
default=quantitatif_df["Vendeur"][0],
disabled=show_all_fdv
)
famille = st.sidebar.multiselect(
"Famille:",
options=quantitatif_df["Famille"].unique(),
default=quantitatif_df["Famille"][6]
)
jour_travail = st.sidebar.text_input(
label="Jour Travail", value=day_without_sunday())
jour_reste = st.sidebar.text_input(label="Jour Reste", value=24)
df_selection_quantitatif = quantitatif_df.query(
"Vendeur== @vendeur & Famille==@famille"
)
df_select_qualitatif = qualitatif_df.query(
"Vendeur== @vendeur"
)
if show_all_fdv:
df_selection_quantitatif = quantitatif_df.query(
"Famille==@famille & Vendeur!='KHALIL HMER LEGHROUNE' & Vendeur!='CDZ TANGER GROS' &Vendeur!='BAALAKI YOUSSEF' & Vendeur!='CDZ AGADIR DET2'& Vendeur!='VIDE' ",
)
df_selection_quantitatif = df_selection_quantitatif.astype({
"REAL": "int",
"OBJ": "int",
"J-1": "int",
"REAL.1": "int",
'2021.1': "int",
})
st.dataframe(df_selection_quantitatif)
st.dataframe(df_select_qualitatif)
total_ht = int(df_selection_quantitatif["REAL"].sum())
total_ttc = round(total_ht*1.2)
min_ca = int(df_selection_quantitatif["REAL"].min())
min_ca_index = int(df_selection_quantitatif["REAL"].idxmin())
max_ca = int(df_selection_quantitatif["REAL"].max())
max_ca_index = int(df_selection_quantitatif["REAL"].idxmax())
objectif_ht = ((round(df_selection_quantitatif["OBJ"].sum()))*24/int(jour_travail))
objectif_ttc = round(objectif_ht*1.2)
rest_jour_ttc = round((objectif_ttc-(total_ttc))/int(jour_reste))
average_ttc = round(total_ttc/int(jour_travail))
moyenne_client_facture=round(int(df_select_qualitatif["CLT FACTURE"].sum())/ int(jour_travail))
col1, col2, col3, col4, col5,col6,col7,col8 = st.columns(8)
with col1:
st.caption("Total HT",)
st.subheader(f'{total_ht:,}')
with col2:
st.caption("Total TTC")
st.subheader(f'{total_ttc:,}')
with col3:
st.caption("Objectif TTC")
st.subheader(f'{objectif_ttc:,}')
with col4:
st.caption("Rest jour TTC")
st.subheader(f'{rest_jour_ttc:,}')
with col5:
st.caption("ACM")
st.subheader(f'{round(df_select_qualitatif["% vs Obj"].sum()*100):,}%')
with col6:
st.caption("Moyenne TSM")
st.subheader(moyenne_client_facture)
with col7:
st.caption("Line /bl")
st.subheader(f'{round(df_select_qualitatif["%"].sum()*100):,}%')
with col8:
st.caption("TSM")
st.subheader(f'{round(df_select_qualitatif["%.1"].sum()*100):,}%')
st.text(f"Maximum Réaliser : {max_ca:} ({quantitatif_df['Vendeur'][max_ca_index]:} {emoji.emojize(':1st_place_medal:')})")
st.text(f"Minimum Réaliser : {min_ca:} ({quantitatif_df['Vendeur'][min_ca_index]:} {emoji.emojize(':thumbs_down:')})")
vendeur_ca = (
df_selection_quantitatif.groupby(by=["Vendeur"]).sum()[["REAL"]].sort_values(by="REAL")
)
fig_produit_sales = px.bar(
vendeur_ca,
x="REAL",
y=vendeur_ca.index,
orientation="h",
title='<b>CA par Vendeur</b>',
color_discrete_sequence=["#0083B8"] * len(vendeur_ca),
template="plotly_white",
color='REAL'
)
st.plotly_chart(fig_produit_sales)
hide_st_style = """
<style>
footer {visibility:hidden;}
header {visibility:hidden;}
</style>
"""
st.markdown(hide_st_style, unsafe_allow_html=True)
print(moyenne_client_facture)
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