import os
import numpy as np
import pandas as pd
import streamlit as st
import datetime as dt
from data.cli_dropbox import dropbox_upload_file
from data.datastructures import generate_intervenant_fit, generate_intervenant_monthly_payroll, generate_society_fit, generate_society_payroll

from data.excels import get_fit_totals, update_historical_week, update_monthly_payroll, update_society_fit, update_society_payroll, write_excel_fit
from utils.indemnites import calculate_arrets
from utils.times import date_to_week_day, date_to_week_number
from utils.device import get_current_ip, get_device_id
from const import root_path
import asyncio


def merge_dicts(list_of_dicts):
    merged_dict = {}

    for dictionary in list_of_dicts:
        for key, value in dictionary.items():
            if key not in merged_dict:
                merged_dict[key] = []
            merged_dict[key].append(value)

    return merged_dict

@st.cache_resource
async def read_transform_write_excel(datapath: str = f'{root_path}/data/output', form: dict = None):
    fit_data = {
        "year": form["year"],
        "month": form["month"],
        "week": form["week"],
        "intervenant": form["intervenant"],
    }

    fit_dict = generate_intervenant_fit(form)
    fit_df = pd.DataFrame(fit_dict, index=[0])

    
    if 'fit' in st.session_state.keys() \
        and form["intervenant"] in st.session_state['fit'].keys() \
        and form["year"] in st.session_state['fit'][form["intervenant"]].keys() \
        and form["month"] in st.session_state['fit'][form["intervenant"]][form["year"]].keys() \
        and form["week"] in st.session_state['fit'][form["intervenant"]][form["year"]][form["month"]].keys():
        df = st.session_state['fit'][form["intervenant"]][form["year"]][form["month"]][form["week"]]['data']
        # Concatenate DataFrame and dictionary DataFrame
        fit_df = pd.concat([df, fit_df], ignore_index=True)

    totals = get_fit_totals(fit_df)
    fit_data['data'] = fit_df
    fit_data['totals'] = totals
    path = f'{form["intervenant"]}_{form["year"]}_{form["month"]}_{form["week"]}_FIT.xlsx'

    write_excel_fit(datapath, path, fit_data)
    dropbox_upload_file(datapath, path, f'/SEC_IND_GTP2023_OUTPUT/FIT/{form["intervenant"]}/{form["year"]}/{form["month"]}/{form["week"]}', path)
    
    
    if 'fit' not in st.session_state.keys():
        st.session_state['fit'] = {}
    
    if form["intervenant"] not in st.session_state['fit'].keys():
        st.session_state['fit'][form["intervenant"]] = {}
    if form["year"] not in st.session_state['fit'][form["intervenant"]].keys():
        st.session_state['fit'][form["intervenant"]][form["year"]] = {}
    if form["month"] not in st.session_state['fit'][form["intervenant"]][form["year"]].keys():
        st.session_state['fit'][form["intervenant"]][form["year"]][form["month"]] = {}
    if form["week"] not in st.session_state['fit'][form["intervenant"]][form["year"]][form["month"]].keys():
        st.session_state['fit'][form["intervenant"]][form["year"]][form["month"]][form["week"]] = {}
    st.session_state['fit'][form["intervenant"]][form["year"]][form["month"]][form["week"]] = {
        'data': fit_data['data'],
        'totals': totals
    }
    st.toast('Fiche de temps envoyée', icon="📨")
    return st.session_state['fit'][form["intervenant"]][form["year"]][form["month"]][form["week"]]

def validate():
    data_dict = {
        "intervenant": st.session_state.intervenant,
        "nom": st.session_state.df['intervenants'][st.session_state.df['intervenants']['intervenant'] == st.session_state.intervenant]['Nom'].values[0],
        "prenom": st.session_state.df['intervenants'][st.session_state.df['intervenants']['intervenant'] == st.session_state.intervenant]['Prénom'].values[0],
        "employeur": st.session_state.df['intervenants'][st.session_state.df['intervenants']['intervenant'] == st.session_state.intervenant]['Employeur'].values[0],
        "client": st.session_state.client,
        "affaire": st.session_state.affaire,
        "prestataire": st.session_state.prestataire, 
        "vehicule": st.session_state.vehicules, 
        "location": st.session_state.location,
        "activities": st.session_state.activities_text_area, 

        "date": st.session_state.date_input,
        "year": st.session_state.date_input.year,
        "month": st.session_state.date_input.month,
        "week": date_to_week_number(st.session_state.date_input), 
        "public_holyday": st.session_state.public_holyday, 
        "start_time": st.session_state.start_time_input, 
        "end_time": st.session_state.end_time_input, 

        "pause_time": st.session_state.pause_time_input, 
        "supplement_1": st.session_state.supplement1,
        "supplement_2": st.session_state.supplement2,
        "supplement_3": st.session_state.supplement3,

        # "contract_hours": st.session_state.df['all'].contract_hours[st.session_state.indexes_all['contract_hours']],
        # "maladie": st.session_state.total_hours if st.session_state.affaire.find('Absence Maladie Individuelle') != -1 or \
        #                                             st.session_state.affaire.find('Absence Maladie Professionnelle') != -1 \
        #                                         else 0,
        "maladie": calculate_arrets() if st.session_state.affaire.find('Absence Maladie Individuelle') != -1 or \
                                        st.session_state.affaire.find('Absence Maladie Professionnelle') != -1 \
                                        else 0,
        "arret_travail": calculate_arrets() if st.session_state.affaire.find('Absence Accident du Travail') != -1 else 0,
        "conges_payes": calculate_arrets() if st.session_state.affaire.find('Absence Congés payés') != -1 else 0,
        "conges_sans_solde": calculate_arrets() if st.session_state.affaire.find('Absence Congés sans solde') != -1 else 0,
        "rtt": calculate_arrets() if st.session_state.affaire.find('Absence RTT') != -1 else 0,
        "formation": calculate_arrets() if st.session_state.affaire.find('Absence Formation') != -1 else 0,
        "evenement_familial": calculate_arrets() if st.session_state.affaire.find('Absence Evénement Familial') != -1 else 0,
        
        
        "worked_hours": st.session_state.total_hours if st.session_state.total_hours else 0,
        "night_hours": st.session_state.night_hours if st.session_state.night_hours else 0,
        "contract_hours": st.session_state.contract_hours if st.session_state.contract_hours else 0,
        "supp_contract_hours": st.session_state.supp_contract_hours if st.session_state.supp_contract_hours else 0,
        "day_hours": st.session_state.total_hours - st.session_state.night_hours if st.session_state.total_hours and st.session_state.night_hours else 0,
        "drive_hours": st.session_state.drive_hours if st.session_state.drive_hours else 0,
        "saturday_hours": st.session_state.total_hours if date_to_week_day(st.session_state.date_input) == 'samedi' else 0,
        "sunday_hours": st.session_state.total_hours if date_to_week_day(st.session_state.date_input) == 'dimanche' else 0,
        "holyday_hours": st.session_state.total_hours if st.session_state.public_holyday else 0,
        "overtime_25": st.session_state.overtime25 if st.session_state.overtime25 else 0,
        "overtime_50": st.session_state.overtime50 if st.session_state.overtime50 else 0,
        "overtime_100": st.session_state.overtime100 if st.session_state.overtime100 else 0,

        "meal_nonus": st.session_state.meal_bonus if st.session_state.meal_bonus else 0,
        "mileage_allowances_bonus": st.session_state.mileage_allowances_bonus if st.session_state.mileage_allowances_bonus else 0,
        "personal_tools_bonus": st.session_state.personal_tools_bonus  if st.session_state.personal_tools_bonus else 0,
        "intervention_bonus": st.session_state.intervention_bonus if st.session_state.intervention_bonus else 0,
        "on_call_bonus": st.session_state.on_call_bonus if st.session_state.on_call_bonus else 0,
        "team_leader_bonus": st.session_state.team_leader_bonus if st.session_state.team_leader_bonus else 0,
        # "other_bonus": st.session_state.electrical_bonus + st.session_state.painting_bonus + st.session_state.welding_bonus if st.session_state.electrical_bonus + st.session_state.painting_bonus + st.session_state.welding_bonus else 0,
        "device_model": get_device_id(),
        "device_ip": get_current_ip(),
        "modified": dt.datetime.now(),
    }
    if 'completed_forms' not in st.session_state:
        st.session_state['completed_forms'] = []
    st.session_state.completed_forms.append(data_dict)
    st.toast('Fiche de temps validée et enregistrée', icon="✅")

def reset(df):
    st.session_state.df = df
    st.session_state.indexes_all = {k: 0 for k in df['all'].columns}
    st.session_state.indexes_affaire = {k: 0 for k in df['affaire'].columns}
    st.session_state.indexes_intervenants = {k: 0 for k in df['intervenants'].columns}
    st.session_state.indexes_vehicules = {k: 0 for k in df['vehicules'].columns}


    st.session_state.intervenant = df['intervenants'].intervenant[0]
    st.session_state.client = df['affaire'].client[0]
    st.session_state.affaire = df['affaire'].affaire[0]
    st.session_state.prestataire = df['affaire'].prestataire[0]
    st.session_state.vehicules = df['vehicules'].vehicules[0]

    st.session_state.activities_text_area = ""

    st.session_state.date_input = dt.datetime.now()
    st.session_state.public_holyday = False
    st.session_state.start_time_input = dt.time(8, 00)
    st.session_state.end_time_input = dt.time(17, 00)

    st.session_state.pause_time_input = dt.time(0, 00)
    

    st.session_state.supplement1 = df['supplements'].supplements[0]
    st.session_state.supplement2 = df['supplements'].supplements[0]
    st.session_state.supplement3 = df['supplements'].supplements[0]
    st.toast('Nouvelle fiche de temps ', icon="🔃")

async def run_async_tasks():
    await read_transform_write_excel(form=st.session_state.completed_forms[-1])
    st.toast('Mise à jour de votre historique, veuillez patienter', icon="💾")
    historic_df = await update_historical_week(dropbox_datapath='/SEC_IND_GTP2023_OUTPUT', form=st.session_state.completed_forms[-1])
    st.toast('Historique mis à jour', icon="✅")

    st.toast('Mise à jour du Tableau de société, veuillez patienter', icon="💾")
    society_form = generate_society_fit(form=st.session_state.completed_forms[-1])
    society_df = await update_society_fit(dropbox_datapath='/SEC_IND_GTP2023_OUTPUT', form=society_form)
    st.toast('Tableau de société mis à jour', icon="✅")

    st.toast('Mise à jour des Prestations croisées, veuillez patienter', icon="💾")
    society_form = generate_society_payroll(form=st.session_state.completed_forms[-1])
    society_df = await update_society_payroll(dropbox_datapath='/SEC_IND_GTP2023_OUTPUT', form=society_form)
    st.toast('Prestations croisées mis à jour', icon="✅")

    st.toast('Mise à jour du Tableau de paye, veuillez patienter', icon="💾")
    payroll = generate_intervenant_monthly_payroll(form=historic_df)
    await update_monthly_payroll(dropbox_datapath='/SEC_IND_GTP2023_OUTPUT', payroll_dict=payroll, year=st.session_state.completed_forms[-1]['year'] , month=st.session_state.completed_forms[-1]['month'], week=st.session_state.completed_forms[-1]['week'])
    st.toast('Tableau de paye mis à jour', icon="✅")
    st.toast('Fiche de temps dupliquée', icon="📄")

def validate_duplicate():
    if st.session_state.intervenant != '-' and st.session_state.client != '-' and st.session_state.affaire != '-':
        validate()
        # print(st.session_state.completed_forms[-1])
        if st.session_state.date_input < dt.datetime.now().date():
            st.session_state.date_input += dt.timedelta(days=1)
        
        asyncio.run(run_async_tasks())

    else:
        st.toast('Veuillez remplir les champs intervenant, client et affaire', icon="⚠️")

def validate_end():
    if st.session_state.intervenant != '-' and st.session_state.client != '-' and st.session_state.affaire != '-':
        validate()
        
        asyncio.run(run_async_tasks())

        st.session_state.completed_forms = []
        st.toast('Vous pouvez fermer l\'application ', icon="👍")
    else:
        st.toast('Veuillez remplir les champs intervenant, client et affaire', icon="⚠️")