From 8cc66aad8779ea3bf78a050d0239c3caf01199a9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=94=D0=B0=D0=BD=D0=B8=D0=B8=D0=BB=20=D0=A5=D0=BE=D0=B4?= =?UTF-8?q?=D1=8B=D0=BA=D0=B8=D0=BD?= Date: Mon, 30 Mar 2026 18:44:27 +0000 Subject: [PATCH] =?UTF-8?q?=D0=97=D0=B0=D0=B3=D1=80=D1=83=D0=B7=D0=B8?= =?UTF-8?q?=D1=82=D1=8C=20=D1=84=D0=B0=D0=B9=D0=BB=D1=8B=20=D0=B2=20=C2=AB?= =?UTF-8?q?/=C2=BB?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .gitignore | 7 ++ README.md | 1 + reviews.py | 217 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 225 insertions(+) create mode 100644 .gitignore create mode 100644 README.md create mode 100644 reviews.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5296f86 --- /dev/null +++ b/.gitignore @@ -0,0 +1,7 @@ +.venv/ +__pycache__/ +*.pyc +.DS_Store +data/report.txt +.idea/ +.vscode/ \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..91b85f1 --- /dev/null +++ b/README.md @@ -0,0 +1 @@ +# Система анализа рецензий на фильмы \ No newline at end of file diff --git a/reviews.py b/reviews.py new file mode 100644 index 0000000..faa2328 --- /dev/null +++ b/reviews.py @@ -0,0 +1,217 @@ +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() \ No newline at end of file