Загрузить файлы в «/»

.gitignore

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+.venv/
+__pycache__/
+*.pyc
+.DS_Store
+data/report.txt
+.idea/
+.vscode/

README.md

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+# Система анализа рецензий на фильмы

reviews.py

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+import os
+
+def parse_review_line(line):
+    parts = line.strip().split("|")
+    return {
+        "user_id": parts[0],
+        "movie_title": parts[1],
+        "rating": float(parts[2]),
+        "review_text": parts[3],
+        "watch_date": parts[4],
+        "useful_votes": int(parts[5]),
+        "total_votes": int(parts[6])
+    }
+
+def load_reviews(file_path):
+    if not os.path.exists(file_path):
+        print("Файл не найден")
+        return []
+    f = open(file_path, "r", encoding="utf-8")
+    reviews = []
+    for line in f:
+        line = line.strip()
+        if line != "":
+            reviews.append(parse_review_line(line))
+    f.close()
+    return reviews
+
+def filter_by_min_rating(reviews, min_rating):
+    result = []
+    for r in reviews:
+        if r["rating"] >= min_rating:
+            result.append(r)
+    return result
+
+def calculate_average_rating(reviews):
+    if len(reviews) == 0:
+        return 0
+    total = sum(r["rating"] for r in reviews)
+    return round(total / len(reviews), 2)
+
+def get_movie_statistics(reviews):
+    stats = {}
+    for r in reviews:
+        title = r["movie_title"]
+        if title not in stats:
+            stats[title] = {}
+            stats[title]["reviews_count"] = 0
+            stats[title]["total_rating"] = 0
+            stats[title]["total_useful_votes"] = 0
+        stats[title]["reviews_count"] = stats[title]["reviews_count"] + 1
+        stats[title]["total_rating"] = stats[title]["total_rating"] + r["rating"]
+        stats[title]["total_useful_votes"] = stats[title]["total_useful_votes"] + r["useful_votes"]
+    
+    for title in stats:
+        stats[title]["average_rating"] = round(stats[title]["total_rating"] / stats[title]["reviews_count"], 2)
+        del stats[title]["total_rating"]
+    
+    items = list(stats.items())
+    items.sort(key=lambda x: x[1]["reviews_count"], reverse=True)
+    
+    result = {}
+    for title, data in items:
+        result[title] = data
+    return result
+
+def find_most_useful_review(reviews):
+    if len(reviews) == 0:
+        return {}
+    
+    best = min(reviews, key=lambda x: - (x["useful_votes"] / x["total_votes"]) if x["total_votes"] > 0 else -1)
+    percent = (best["useful_votes"] / best["total_votes"]) * 100 if best["total_votes"] > 0 else 0
+    
+    return {
+        "movie_title": best["movie_title"],
+        "review_text": best["review_text"],
+        "useful_percentage": round(percent, 2)
+    }
+
+def group_reviews_by_month(reviews):
+    months = {}
+    for r in reviews:
+        month = r["watch_date"][:7]
+        if month in months:
+            months[month] = months[month] + 1
+        else:
+            months[month] = 1
+    
+    result = dict(sorted(months.items()))
+    return result
+
+def filter_by_keywords(reviews, keywords):
+    result = []
+    for r in reviews:
+        text = r["review_text"].lower()
+        if any(k.lower() in text for k in keywords):
+            result.append(r)
+    return result
+
+def get_top_movies_by_rating(reviews, n):
+    data = {}
+    for r in reviews:
+        title = r["movie_title"]
+        if title not in data:
+            data[title] = {}
+            data[title]["total"] = 0
+            data[title]["count"] = 0
+        data[title]["total"] = data[title]["total"] + r["rating"]
+        data[title]["count"] = data[title]["count"] + 1
+    
+    ratings = []
+    for title in data:
+        if data[title]["count"] >= 2:
+            avg = data[title]["total"] / data[title]["count"]
+            ratings.append((title, round(avg, 2)))
+    
+    ratings.sort(key=lambda x: x[1], reverse=True)
+    return ratings[:n]
+
+def generate_review_report(reviews, file_path):
+    if len(reviews) == 0:
+        return
+    
+    total = len(reviews)
+    avg_rating = calculate_average_rating(reviews)
+    movie_stats = get_movie_statistics(reviews)
+    top_movies = get_top_movies_by_rating(reviews, 3)
+    monthly = group_reviews_by_month(reviews)
+    
+    useful_list = []
+    for r in reviews:
+        if r["total_votes"] > 0:
+            percent = (r["useful_votes"] / r["total_votes"]) * 100
+            useful_list.append((r, percent))
+    
+    useful_list.sort(key=lambda x: x[1], reverse=True)
+    
+    f = open(file_path, "w", encoding="utf-8")
+    f.write("ОТЧЕТ ПО РЕЦЕНЗИЯМ\n")
+    f.write("\n")
+    f.write("Всего рецензий: " + str(total) + "\n")
+    f.write("Средний рейтинг: " + str(avg_rating) + "\n")
+    f.write("\n")
+    f.write("ТОП 5 ФИЛЬМОВ ПО КОЛИЧЕСТВУ РЕЦЕНЗИЙ\n")
+    
+    items = list(movie_stats.items())
+    for i in range(min(5, len(items))):
+        title, s = items[i]
+        f.write(str(i + 1) + ". " + title + " - рецензий: " + str(s["reviews_count"]) + ", средний рейтинг: " + str(s["average_rating"]) + "\n")
+    
+    f.write("\n")
+    f.write("ТОП 3 САМЫХ ПОЛЕЗНЫХ РЕЦЕНЗИЙ ()\n")
+    
+    for i in range(min(3, len(useful_list))):
+        r, p = useful_list[i]
+        f.write(str(i + 1) + ". " + r["movie_title"] + " - " + str(p) + "%\n")
+        f.write("   " + r["review_text"][:100] + "\n")
+    
+    f.write("\n")
+    f.write("ДИНАМИКА ПО МЕСЯЦАМ\n")
+    
+    for m in monthly:
+        f.write(m + ": " + str(monthly[m]) + " рецензий\n")
+    
+    f.write("\n")
+    f.write("ТОП 3 ФИЛЬМА ПО СРЕДНЕМУ РЕЙТИНГУ (мин 2 рецензии)\n")
+    
+    for i in range(len(top_movies)):
+        title, rating = top_movies[i]
+        f.write(str(i + 1) + ". " + title + " - " + str(rating) + "\n")
+    
+    f.close()
+    
+    if not os.path.exists("data"):
+        os.makedirs("data")
+
+def main():
+    reviews = load_reviews("data/data.txt")
+    
+    if len(reviews) == 0:
+        return
+    
+    print("Общее количество рецензий:", len(reviews))
+    print()
+    
+    print("Средний рейтинг:", calculate_average_rating(reviews))
+    print()
+    
+    print("Топ 5 фильмов по количеству рецензий:")
+    stats = get_movie_statistics(reviews)
+    count = 0
+    for title in stats:
+        if count >= 5:
+            break
+        s = stats[title]
+        print(str(count + 1) + ".", title, "-", s["reviews_count"], "рецензий, средний рейтинг:", s["average_rating"])
+        count = count + 1
+    print()
+    
+    print("Самая полезная рецензия:")
+    useful = find_most_useful_review(reviews)
+    print("Фильм:", useful["movie_title"])
+    print("Полезность:", useful["useful_percentage"], "%")
+    print("Текст:", useful["review_text"][:100], "...")
+    print()
+    
+    print("Топ 3 фильма по среднему рейтингу (мин 2 рецензии):")
+    top = get_top_movies_by_rating(reviews, 3)
+    for i in range(len(top)):
+        title, rating = top[i]
+        print(str(i + 1) + ".", title, "-", rating)
+    print()
+    
+    generate_review_report(reviews, "data/report.txt")
+    print("Отчет сохранен в файл data/report.txt")
+
+if __name__ == "__main__":
+    main()