ReviewAnalyzer/reviews.py

import os.path
import string


def load_reviews(filepath: str) -> list:
    reviews = []
    if not os.path.exists(filepath):
        print("Файл отзывов не найден!")
        return reviews
    with open(filepath, "r", encoding="utf-8") as file:
        for line in file:
            line = line.strip()
            if not line:
                continue
            parts = line.split("|")
            if len(parts) != 3:
                print("Пропущена строка с неверным форматом:", line)
                continue
            username, rating, text = parts
            try:
                rating_int = int(rating.strip())
            except ValueError:
                print("Неверный рейтинг:", line)
                continue
            if not (1 <= rating_int <= 5):
                print("Рейтинг вне диапазона [1–5]:", line)
                continue
            reviews.append({
                "username": username.strip(),
                "rating": rating_int,
                "text": text.strip()
            })
    return reviews


def filter_by_rating(reviews: list, min_rating: int, max_rating: int) -> list:
    filtered_reviews = []
    for rev in reviews:
        rating = rev["rating"]
        if min_rating <= rating <= max_rating:
            filtered_reviews.append(rev)
    return filtered_reviews


def get_average_rating(reviews: list) -> float:
    if not reviews:
        return 0.0

    total = sum(rev["rating"] for rev in reviews)
    avg = total / len(reviews)
    return round(avg, 2)


def count_words_in_review(review: dict) -> int:
    text = review.get("text", "")
    words = text.split()
    return len(words)


def find_longest_review(reviews: list) -> dict:
    if not reviews:
        return {}
    longest = reviews[0]
    max_words = count_words_in_review(longest)
    for rev in reviews[1:]:
        words = count_words_in_review(rev)
        if words > max_words:
            max_words = words
            longest = rev
    return longest


def build_word_frequency(reviews: list) -> dict:
    freq = {}
    translator = str.maketrans("", "", string.punctuation)

    for review in reviews:
        text = review["text"].lower()
        text = text.translate(translator)
        words = text.split()

        for word in words:
            freq[word] = freq.get(word, 0) + 1

    return freq


def get_top_words(freq_dict: dict, n: int) -> list:
    sorted_words = sorted(
        freq_dict.items(),
        key=lambda x: x[1],
        reverse=True
    )
    return sorted_words[:n]


def group_reviews_by_rating(reviews: list) -> dict:
    grouped = {
        item: []
        for item in range(1, 6)
    }

    for rev in reviews:
        rating = rev["rating"]
        grouped[rating].append(rev)

    return grouped


def format_summary(reviews: list, top_words: list, avg_rating: float) -> str:
    total_reviews = len(reviews)
    usernames = sorted({
        rev["username"]
        for rev in reviews
    })

    report_lines = [
        "=== Отчёт по отзывам ===",
        "Общее количество отзывов: " + str(total_reviews),
        "Средний рейтинг: " + str(avg_rating),
        "",
        "Топ слов:"
    ]

    for word, count in top_words:
        report_lines.append("- " + word + ": " + str(count))

    report_lines.append("")
    report_lines.append("Пользователи:")

    for user in usernames:
        report_lines.append("- " + user)

    result = "\n".join(report_lines)

    return result


def save_report(report: str, output_path: str) -> None:
    directory = os.path.dirname(output_path)

    if directory and not os.path.exists(directory):
        os.makedirs(directory)

    with open(output_path, "w", encoding="utf-8") as file:
        file.write(report)


def main():
    filepath = "data/data.txt"

    # Загрузка отзывов из файла
    reviews = load_reviews(filepath)
    print("Загружено отзывов:", len(reviews))

    # Средний рейтинг
    avg_rating = get_average_rating(reviews)
    print("Средний рейтинг: " + str(avg_rating))

    # Фильтрация по рейтингу
    positive = filter_by_rating(reviews, 4, 5)
    negative = filter_by_rating(reviews, 1, 2)

    print("\nПоложительных отзывов:", len(positive))
    print("Отрицательных отзывов:", len(negative))

    # Самый длинный отзыв
    longest = find_longest_review(reviews)
    if longest:
        print("\nСамый длинный отзыв:")
        print(longest['username'] + ": " + longest['text'])

    # Топ-5 слов
    freq = build_word_frequency(reviews)
    top_words = get_top_words(freq, 5)

    print("\nТоп-5 слов:")
    for word, count in top_words:
        print(str(word) + ": " + str(count))

    # Группировка
    grouped = group_reviews_by_rating(reviews)

    print("\nКоличество отзывов по рейтингам:")
    for rating in range(1, 6):
        print(str(rating) + ": " + str(len(grouped[rating])))

    # Отчёт
    report = format_summary(reviews, top_words, avg_rating)
    print("\n" + report)

    # Сохранение отчёта
    save_report(report, "data/report.txt")

    print("\nПрограмма завершена!")


if __name__ == '__main__':
    main()