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Commit b40a0bdf authored by Bouchaira Neirouz's avatar Bouchaira Neirouz
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donnees/Question 7.ipynb
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%% Cell type:code id: tags:
``` python
import sqlite3
# Connect to the database
conn = sqlite3.connect('company.db')
# Create a cursor object
cursor = conn.cursor()
print("Connected to company.db")
```
%% Output
Connected to company.db
%% Cell type:code id: tags:
``` python
import pandas as pd
from datetime import datetime, timedelta
chrismas_day = datetime(2024, 12, 25)
cursor.execute("SELECT NUMERO_EMPLOYE, NOM, PRENOM, CS_PRODUCTION,CS_JOURNEE, DATE_DEBUT FROM EMPLOYE")
employees = cursor.fetchall()
# Create a list to store the data
prime_totale = []
prime_partielle=[]
def generate_mondays(start_date):
"""
Génère une liste de lundis à partir d'une date donnée jusqu'à un an après.
:param start_date: Date de début au format 'YYYY-MM-DD'
:return: Liste de lundis au format 'YYYY-MM-DD'
"""
# Convertir la date de départ en objet datetime
start = datetime.strptime(start_date, '%Y-%m-%d')
end_date = start + timedelta(days=365)
# Trouver le premier lundi (si la date donnée n'est pas un lundi)
if start.weekday() != 0: # Si ce n'est pas un lundi
start += timedelta(days=(7 - start.weekday())) # Aller au prochain lundi
# Générer les lundis
mondays = []
current_date = start
while current_date <= end_date:
mondays.append(current_date.strftime('%Y-%m-%d'))
current_date += timedelta(weeks=1) # Passer au lundi suivant
return mondays
mondays=generate_mondays('2024-12-04')
```
%% Cell type:code id: tags:
``` python
import sqlite3
import pandas as pd
from datetime import datetime, timedelta
# Fonction pour générer les lundis
def generate_mondays(start_date):
"""
Génère une liste de lundis à partir d'une date donnée jusqu'à un an après.
:param start_date: Date de début au format 'YYYY-MM-DD'
:return: Liste de lundis au format 'YYYY-MM-DD'
"""
start = datetime.strptime(start_date, '%Y-%m-%d')
end_date = start + timedelta(days=365)
# Ajuster au premier lundi
if start.weekday() != 0:
start += timedelta(days=(7 - start.weekday()))
mondays = []
current_date = start
while current_date <= end_date:
mondays.append(current_date.strftime('%Y-%m-%d'))
current_date += timedelta(weeks=1)
return mondays
# Utilisation de SQLite
try:
# Connexion à la base de données
conn = sqlite3.connect('company.db')
cursor = conn.cursor()
print("Connected to company.db")
# Génération des lundis
mondays = generate_mondays(datetime.now().strftime('%Y-%m-%d'))
# Exemple d'opérations avec les employés
chrismas_day = datetime(2024, 12, 25)
cursor.execute("SELECT NUMERO_EMPLOYE, NOM, PRENOM, CS_PRODUCTION, CS_JOURNEE, DATE_DEBUT FROM EMPLOYE")
employees = cursor.fetchall()
prime_totale = []
prime_partielle = []
Bonus=[]
for employee in employees:
NUMERO_EMPLOYE, NOM, PRENOM, CS_PRODUCTION, CS_JOURNEE, DATE_DEBUT = employee
start_date = datetime.strptime(DATE_DEBUT, '%Y-%m-%d')
for LUNDI in mondays:
lundi = datetime.strptime(LUNDI, '%Y-%m-%d')
delta = lundi - start_date
delta_days = delta.days
delta_noel =lundi - chrismas_day
delta_noel_days=delta_noel.days
prime_noel=0
prime_anniversaire=0
if 0 <= delta_noel_days%365<= 6:
if delta.days >= 365:
if CS_JOURNEE is not None:
cursor.execute(f"SELECT SALAIRE_SEMAINE_BASE FROM GRILLE_SALAIRE_HORAIRE WHERE CS_HORAIRE = {CS_JOURNEE}")
salaire_base=cursor.fetchone()[0]
prime_noel= salaire_base*4.5
if CS_PRODUCTION is not None:
cursor.execute(f"SELECT SALAIRE_SEMAINE_BASE FROM GRILLE_SALAIRE_PROD WHERE CS_PRODUCTION = {CS_PRODUCTION}")
salaire_base=cursor.fetchone()[0]
prime_noel= salaire_base*4.5
else:
if CS_JOURNEE is not None:
cursor.execute(f"SELECT SALAIRE_SEMAINE_BASE FROM GRILLE_SALAIRE_HORAIRE WHERE CS_HORAIRE = {CS_JOURNEE}")
salaire_base=cursor.fetchone()[0]
prime_noel= max(0, salaire_base * delta.days / 365 )
if CS_PRODUCTION is not None:
cursor.execute(f"SELECT SALAIRE_SEMAINE_BASE FROM GRILLE_SALAIRE_PROD WHERE CS_PRODUCTION = {CS_PRODUCTION}")
salaire_base=cursor.fetchone()[0]
prime_noel=max(0, salaire_base*100 * delta.days / 365 )
if 0 <= abs(delta_days%365)<= 6:
if CS_JOURNEE is not None:
cursor.execute(f"SELECT SALAIRE_SEMAINE_BASE FROM GRILLE_SALAIRE_HORAIRE WHERE CS_HORAIRE = {CS_JOURNEE}")
salaire_base=cursor.fetchone()[0]
prime_anniversaire= salaire_base
if CS_PRODUCTION is not None:
cursor.execute(f"SELECT SALAIRE_SEMAINE_BASE FROM GRILLE_SALAIRE_PROD WHERE CS_PRODUCTION = {CS_PRODUCTION}")
salaire_base=cursor.fetchone()[0]
prime_anniversaire= salaire_base
Bonus.append((NUMERO_EMPLOYE, NOM, PRENOM, DATE_DEBUT, (datetime.strptime(LUNDI, "%Y-%m-%d") - timedelta(days=7)), prime_noel+prime_anniversaire))
Bonus.append((NUMERO_EMPLOYE, NOM, PRENOM, DATE_DEBUT, (datetime.strptime(LUNDI, "%Y-%m-%d") - timedelta(days=7)), prime_noel,prime_anniversaire))
# Sauvegarde des lundis dans une table de la base
# cursor.executemany("INSERT OR IGNORE INTO LUNDIS (date_lundi) VALUES (?)", [(monday,) for monday in mondays])
# conn.commit()
# pri<nt("Mondays added to the database.")
except sqlite3.Error as e:
print(f"SQLite error: {e}")
```
%% Output
Connected to company.db
%% Cell type:code id: tags:
``` python
Bonus = pd.DataFrame(Bonus, columns=['NUMERO_EMPLOYE','NOM', 'PRENOM' ,'DATE_DEBUT', 'LUNDI','PRIMES'])
Bonus[Bonus['PRIMES']>0].head(50)
```
%% Output
NUMERO_EMPLOYE NOM PRENOM DATE_DEBUT LUNDI PRIMES
3 1 Dubois Michel 2020-11-13 2024-12-23 2160.00000
49 1 Dubois Michel 2020-11-13 2025-11-10 480.00000
55 2 Bouchaira Neirouz 2021-11-13 2024-12-23 2160.00000
101 2 Bouchaira Neirouz 2021-11-13 2025-11-10 480.00000
107 3 Caty Jeanne 2019-11-03 2024-12-23 3712.50000
151 3 Caty Jeanne 2019-11-03 2025-10-27 825.00000
159 5 Mourin Julie 2023-11-13 2024-12-23 2126.25000
205 5 Mourin Julie 2023-11-13 2025-11-10 472.50000
211 6 Bowers Matthew 2024-11-20 2024-12-23 52.60274
258 6 Bowers Matthew 2024-11-20 2025-11-17 480.00000
263 7 Jura Charlie 2022-11-28 2024-12-23 3712.50000
311 7 Jura Charlie 2022-11-28 2025-11-24 825.00000
%% Cell type:code id: tags:
``` python
datetime.now().strftime('%Y-%m-%d')
```
%% Output
'2024-12-07'
%% Cell type:code id: tags:
``` python
```
......
donnees/Questions 3 et 4.ipynb
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View file @ b40a0bdf
......@@ -3553,7 +3553,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
......@@ -3567,7 +3567,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.0"
}
},
"nbformat": 4,
......
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