💻 Примеры: покупка, логирование, аналитика, модули
⚡ Кратко
Ниже — рабочие фрагменты программы: покупка книги, логирование поиска, аналитика популярных запросов и модульная структура проекта.
💻 Пример 1. Покупка книги с проверкой баланса
Функция сначала проверяет «неправильные» сценарии (guard clauses), а затем выполняет обновления и фиксирует покупку.
import pymysql
def purchase_book(connection, user_id: int) -> None:
with connection.cursor() as cursor:
cursor.execute("USE bookstore")
cursor.execute(
"SELECT id, title, author, price, stock FROM books WHERE stock > 0"
)
books = cursor.fetchall()
if not books:
print("No books available.")
return
for i, (book_id, title, author, price, stock) in enumerate(books, start=1):
print(f"{i}. {title} by {author} — ${price:.2f} ({stock} in stock)")
try:
index = int(input("Enter book number: ")) - 1
quantity = int(input("Enter quantity: "))
except ValueError:
print("Invalid input.")
return
if not (0 <= index < len(books)):
print("Invalid book number.")
return
book_id, title, author, price, stock = books[index]
if quantity > stock:
print("Not enough books in stock.")
return
with connection.cursor() as cursor:
cursor.execute("USE bookstore")
cursor.execute("SELECT balance FROM users WHERE id = %s", (user_id,))
balance = cursor.fetchone()[0]
total_price = price * quantity
if total_price > balance:
print("Insufficient funds.")
return
cursor.execute(
"UPDATE books SET stock = stock - %s WHERE id = %s",
(quantity, book_id),
)
cursor.execute(
"UPDATE users SET balance = balance - %s WHERE id = %s",
(total_price, user_id),
)
cursor.execute("""
INSERT INTO purchases (user_id, book_id, quantity, purchase_date)
VALUES (%s, %s, %s, CURDATE())
""", (user_id, book_id, quantity))
connection.commit()
print("Purchase successful.")
💻 Пример 2. Сохранение поиска в MongoDB
from pymongo import MongoClient
mongo_client = MongoClient(
"mongodb://ich_editor:verystrongpassword"
"@mongo.itcareerhub.de/?readPreference=primary"
"&ssl=false&authMechanism=DEFAULT&authSource=ich_edit"
)
searches_collection = mongo_client["ich_edit"]["bookstore_logs_searches"]
def log_search_query(query: str) -> None:
clean = query.strip()
if clean:
searches_collection.insert_one({"query": clean})
def search_books_by_title(connection) -> None:
keyword = input("Enter book title: ").strip()
log_search_query(keyword)
with connection.cursor() as cursor:
cursor.execute("USE bookstore")
cursor.execute("""
SELECT title, author, price, stock
FROM books
WHERE stock > 0 AND LOWER(title) LIKE %s
""", (f"%{keyword.lower()}%",))
results = cursor.fetchall()
if not results:
print("No matching books found.")
return
print("Search results:")
for i, (title, author, price, stock) in enumerate(results, start=1):
print(f"{i}. {title} by {author} — ${price:.2f} ({stock} in stock)")
💻 Пример 3. Топ популярных запросов через Counter
from collections import Counter
def show_popular_queries(limit: int = 10) -> None:
queries = [
doc["query"].strip().lower()
for doc in searches_collection.find()
if doc.get("query")
]
counter = Counter(queries)
top = counter.most_common(limit)
if not top:
print("No search data found.")
return
print("Most frequent search queries:")
for i, (query, count) in enumerate(top, start=1):
print(f"{i}. {query} — {count} times")
💻 Пример 4. Тот же топ через MongoDB aggregation
def show_popular_queries_aggregate(limit: int = 10) -> None:
pipeline = [
{"$match": {"query": {"$exists": True}}},
{"$group": {"_id": {"$toLower": "$query"}, "count": {"$sum": 1}}},
{"$sort": {"count": -1, "_id": 1}},
{"$limit": limit},
]
results = list(searches_collection.aggregate(pipeline))
if not results:
print("No search data found.")
return
print("Most frequent search queries:")
for i, doc in enumerate(results, start=1):
print(f"{i}. {doc['_id']} — {doc['count']} times")
💻 Пример 5. Модульная структура проекта
Файл user_actions.py отвечает только за действия клиента. Он импортирует логирование из search_logs.py:
# user_actions.py
import pymysql
from search_logs import log_search_query
def view_available_books(connection):
with connection.cursor() as cursor:
cursor.execute("USE bookstore")
cursor.execute("SELECT title, author, price, stock FROM books WHERE stock > 0")
books = cursor.fetchall()
if not books:
print("No books available.")
return
print("Available books:")
for i, (title, author, price, stock) in enumerate(books, start=1):
print(f"{i}. {title} by {author} — ${price:.2f} ({stock} in stock)")
def search_books_by_title(connection):
keyword = input("Enter book title: ").strip()
log_search_query(keyword)
with connection.cursor() as cursor:
cursor.execute("USE bookstore")
cursor.execute("""
SELECT title, author, price, stock
FROM books
WHERE stock > 0 AND LOWER(title) LIKE %s
""", (f"%{keyword.lower()}%",))
results = cursor.fetchall()
if not results:
print("No matching books found.")
return
print("Search results:")
for i, (title, author, price, stock) in enumerate(results, start=1):
print(f"{i}. {title} by {author} — ${price:.2f} ({stock} in stock)")
Файл main.py только запускает приложение:
# main.py
from db_setup import create_database_and_tables
from auth import login_user, register_user
from book_importer import import_books_from_csv
from user_actions import user_menu
def main():
connection = create_database_and_tables()
import_books_from_csv(connection, "books.csv")
while True:
print("\n--- Bookstore ---")
print("1. Register")
print("2. Login")
print("0. Exit")
choice = input("Choose action: ")
if choice == "1":
register_user(connection)
elif choice == "2":
user_id = login_user(connection)
if user_id:
user_menu(connection, user_id)
elif choice == "0":
break
if __name__ == "__main__":
main()