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database_fill.py
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database_fill.py
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import pymysql
import csv
import pandas as pd
# Function to convert a file to binary data, used to store images in the database
def convert_data(file_name):
with open(file_name, 'rb') as file:
binary_data = file.read()
return binary_data
# Function to connect to the database
def connect():
# Load the credentials from CSV
df = pd.read_csv('database_credentials.csv', header=None)
credentials = df[0].values # Extract values into an array
# Use the credentials to connect to the database
connection = pymysql.connect(
host=credentials[0],
user=credentials[1],
password=credentials[2],
database=credentials[3],
cursorclass=pymysql.cursors.DictCursor
)
return connection
# Function to fill the Professional_Expertise table
def fill_Professional_Expertise():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Professional_Expertise (type) VALUES (%s)"
cursor.execute(sql, "3.A_cook")
cursor.execute(sql, "4.B_cook")
cursor.execute(sql, "5.C_cook")
cursor.execute(sql, "2.sous_chef")
cursor.execute(sql, "1.chef")
connection.commit()
except Exception as e:
print("Error:", e)
finally:
print("Database connection closed.")
# Function to fill the Cook table
def fill_Cook():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Cook (name, surname, phone_number, Date_of_birth, years_of_experience, Professional_Expertise_type,Cook_Images) VALUES (%s, %s, %s, %s, %s, %s, %s)"
with open('Data\cook.csv', 'r') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1], row[2], row[3], row[4], row[5], convert_data(row[6])))
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the National_Cuisine table
def fill_National_Cuisine():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO National_Cuisine (name) VALUES (%s)"
with open('Data/national_cuisine.csv', 'r') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0]))
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Meal_Form table
def fill_Meal_Form():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Meal (Meal_Form) VALUES (%s)"
cursor.execute(sql, "breakfast")
cursor.execute(sql, "morning_snack")
cursor.execute(sql, "lunch")
cursor.execute(sql, "afternoon_snack")
cursor.execute(sql, "dinner")
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Food_Category table
def fill_Food_Category():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Food_Category (name, description,Food_Category_Images) VALUES (%s, %s,%s)"
with open('Data/food_category.csv', 'r') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1], convert_data(row[2])))
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Equipment table
def fill_Equipment():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Equipment (name, manual,Equipment_Images) VALUES (%s, %s,%s)"
with open('Data\equipment.csv', 'r') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1], convert_data(row[2])))
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Etiquette table
def fill_Etiquette():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Etiquette (Meal_Type) VALUES (%s)"
with open('Data\etiquette.csv', 'r') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0]))
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Thematic_Unit table
def fill_Thematic_Unit():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Thematic_Unit (name, description,Thematic_Unit_Images) VALUES (%s, %s, %s)"
with open('Data/thematic_unit.csv', 'r') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1], convert_data(row[2])))
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Ingredients table
def fill_ingredients():
df = pd.read_csv('Data\ingredients.csv', encoding='utf-8')
df['name2'] = df['name'].str.lower()
df.drop_duplicates(subset='name2', inplace=True)
df.drop(columns=['name2'], inplace=True)
pd.DataFrame(df).to_csv('Data\ingredients.csv', index=False)
row = []
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Ingredients (name, caloriesper100grams, Food_Category_name,Ingredients_Images) VALUES (%s, %s, %s, %s)"
with open('Data\ingredients.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1], row[2], convert_data(row[3])))
connection.commit()
except Exception as e:
print(row)
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Recipies table
def fill_Recipies():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Recipies (difficulty,name,description,preparation_time,cooking_time,fat,protein,carbs,cooking_or_pastry,basic_ingredient_name,National_Cuisine_name,Recipies_Image) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"
with open('Data/recipies.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1], row[2], row[3], row[4], row[5], row[6], row[7], row[8], row[9], row[10], convert_data(row[11])))
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Steps table
def fill_Steps():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Steps (Step_Description) VALUES (%s)"
with open('Data\steps_descriptions.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0]))
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Recipies_has_Steps table
def fill_Recipies_has_Steps():
connection = connect()
row = []
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Recipies_has_Steps (Recipies_name, step_number, Steps_Step_Description) VALUES (%s, %s, %s)"
with open('Data\steps.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1], row[2]))
connection.commit()
except Exception as e:
print(row)
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
def fill_Recipies_Etiquettes():
connection = connect()
row = []
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Recipies_has_Etiquette (Recipies_name, Etiquette_Meal_Type) VALUES (%s, %s)"
with open('Data/recipies_has_etiquette.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1]))
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Recipies_has_Equipment table
def fill_Recipies_has_Equipment():
connection = connect()
row = []
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Recipies_has_Equipment (Recipies_name, Equipment_name) VALUES (%s, %s)"
with open('Data/recipies_has_equipment.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1]))
connection.commit()
except Exception as e:
print(row)
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Recipies_Meal table
def fill_Recipies_Meal():
connection = connect()
row = []
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Meal_has_Recipies (Meal_Meal_Form, Recipies_name) VALUES (%s, %s)"
with open('Data\meal_has_recipies.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[1], row[0]))
connection.commit()
except Exception as e:
print(row)
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Tips table
def fill_Tips():
connection = connect()
row = []
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Tips (description, Recipies_name) VALUES (%s, %s)"
with open('Data/tips.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[1], row[0]))
connection.commit()
except Exception as e:
print(row)
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Cook_has_Specialisation table
def fill_Cook_has_Specialisation():
connection = connect()
row = []
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Has_specialisation (National_Cuisine_name, Cook_Name, Cook_surname) VALUES (%s, %s,%s)"
with open('Data\has_specialisation.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[2], row[0], row[1]))
connection.commit()
except Exception as e:
print(row)
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Cook_has_Recipies table
def fill_Cook_has_Recipies():
df_specialisations = pd.read_csv('Data\has_specialisation.csv', encoding='utf-8')
df_recipies = pd.read_csv('Data/recipies.csv', encoding='utf-8')
df_recipies = df_recipies[['name', 'National_Cuisine_Name']]
merge_data = pd.merge(df_specialisations, df_recipies, on='National_Cuisine_Name', how='inner')
result = merge_data[['Cook_name', 'Cook_surname', 'name']]
result.columns = ['Cook_Name', 'Cook_Surname', 'Recipes_name']
result.to_csv('Data\cook_has_recipies.csv', index=False)
connection = connect()
row = []
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Cook_has_Recipies (Cook_Name, Cook_Surname, Recipies_name) VALUES (%s, %s,%s)"
with open('Data\cook_has_recipies.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1], row[2]))
connection.commit()
except Exception as e:
print(row)
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Recipies_has_Ingredients table
def fill_Recipies_Has_Ingredients():
connection = connect()
row = []
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Recipies_has_Ingredients (Recipies_name, Ingredients_Name, quantity) VALUES (%s, %s,%s)"
with open('Data/recipies_has_ingredients.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1], row[2]))
connection.commit()
except Exception as e:
print(row)
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Recipies_has_Thematic_Unit table
def fill_Recipies_has_Thematic_Unit():
connection = connect()
row = []
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Recipies_has_Thematic_Unit (Recipies_name, Thematic_Unit_name) VALUES (%s, %s)"
with open('Data/recipies_has_thematic_unit.csv', 'r', encoding='utf-8') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, (row[0], row[1]))
connection.commit()
except Exception as e:
print(row)
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Function to fill the Episode table
def fill_Episode():
connection = connect()
try:
with connection:
with connection.cursor() as cursor:
sql = "INSERT INTO Episode (episode_number) VALUES (%s)"
with open('Data\episode.csv', 'r') as file:
csv_data = csv.reader(file)
next(csv_data) # Skip the header row
for row in csv_data:
cursor.execute(sql, row[0])
connection.commit()
except Exception as e:
print("Error:", e)
finally:
# The connection is automatically closed when exiting the 'with connection' block
print("Database connection closed.")
# Call the functions to fill the tables
fill_Professional_Expertise()
fill_Cook()
fill_National_Cuisine()
fill_Meal_Form()
fill_Food_Category()
fill_Equipment()
fill_Etiquette()
fill_Thematic_Unit()
fill_ingredients()
fill_Recipies()
fill_Steps()
fill_Recipies_has_Steps()
fill_Recipies_Etiquettes()
fill_Recipies_has_Equipment()
fill_Recipies_Meal()
fill_Tips()
fill_Cook_has_Specialisation()
fill_Recipies_Has_Ingredients()
fill_Recipies_has_Thematic_Unit()
fill_Episode()
fill_Cook_has_Recipies()