From e2f5f255afd71d5cbbe9445a1433242fe2ea5dbd Mon Sep 17 00:00:00 2001 From: cxy <1295423769@qq.com> Date: Tue, 17 Sep 2024 19:03:29 +0800 Subject: [PATCH] =?UTF-8?q?=E6=97=A0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- app.py | 114 -------------------------------------------------- utils.py | 8 ---- wordcloud.png | Bin 138965 -> 0 bytes 3 files changed, 122 deletions(-) delete mode 100644 app.py delete mode 100644 utils.py delete mode 100644 wordcloud.png diff --git a/app.py b/app.py deleted file mode 100644 index ff9c80a..0000000 --- a/app.py +++ /dev/null @@ -1,114 +0,0 @@ -import logging -import random -import re -import jieba -import pandas as pd -from flask import Flask, render_template, jsonify -from nltk.corpus import stopwords - -import utils - -app = Flask(__name__) - - -@app.before_request -def setup_logging(): - # 确保日志处理器已正确初始化 - if not logging.getLogger('werkzeug').handlers: - logging.getLogger('werkzeug').addHandler(logging.StreamHandler()) - - class RequestFilter(logging.Filter): - def filter(self, record): - return 'GET /time' not in record.getMessage() - - handler = logging.getLogger('werkzeug').handlers[0] - - handler.addFilter(RequestFilter()) - - -@app.route('/') -def hello_world(): # put application's code here - return render_template("main.html") - - -@app.route('/time') -def get_time(): - return utils.get_time() - - -@app.route('/data') -def get_data(): - df = pd.read_csv('./static/csv/barrage_clustered.csv') - data = df.to_dict(orient='records') - return jsonify(data) - - -@app.route('/wordcloud') -def wordcloud_data(): - file_name = './static/csv/barrage.csv' - with open(file_name, encoding='utf-8') as f: - txt = f.read() - - txt_list = jieba.lcut(txt) - - stopwords_list = set(stopwords.words('chinese')) - stopwords_target = ['都', '不', '好', '哈哈哈', '说', '还', '很', '没'] - for i in stopwords_target: - stopwords_list.add(i) - - word_freq = {} - for word in txt_list: - if re.match(r'^[\u4e00-\u9fa5]+$', word) and word not in stopwords_list: - if word in word_freq: - word_freq[word] += 1 - else: - word_freq[word] = 1 - word_freq_list = [{'name': word, 'value': freq} for word, freq in word_freq.items()] - return jsonify(word_freq_list) - - -@app.route('/world_comment') -def get_world_comment(): - file_path = './static/csv/world_comment.csv' - df = pd.read_csv(file_path) - data = [] - grouped = df.groupby('url') - times = ['20s', '30s', '40s', '50s', '60s'] - for url, group in grouped: - items = group['content'].tolist() - time = random.choice(times) - data.append({'time': time, 'items': items}) - return jsonify(data) - - -@app.route('/barrage_sentiment') -def get_barrage_comment(): - df = pd.read_csv('./static/csv/barrage_sentiment.csv') - data = df.to_dict(orient='records') - return jsonify(data) - - -@app.route('/barrage_count') -def count_rows(): - df = pd.read_csv('./static/csv/barrage.csv') - row_count = len(df['barrage']) - return jsonify({'row_count': row_count}) - - -@app.route('/average_sentiment') -def average_sentiment(): - df = pd.read_csv('./static/csv/barrage_sentiment.csv') - avg_sentiment = df['sentiment'].mean() - return jsonify({'average_sentiment': avg_sentiment}) - - -@app.route('/count_keywords') -def count_keywords(): - df = pd.read_csv('./static/csv/barrage.csv') - keyword_count = df['barrage'].str.contains('AI技术|人工智能|科技|智能').sum() - keyword_count = int(keyword_count) - return jsonify({'keyword_count': keyword_count}) - - -if __name__ == '__main__': - app.run() diff --git a/utils.py b/utils.py deleted file mode 100644 index d3264e8..0000000 --- a/utils.py +++ /dev/null @@ -1,8 +0,0 @@ -import time - - -def get_time(): - time_str = time.strftime("%Y{}%m{}%d{} %X") - return time_str.format("年", "月", "日") - - diff --git a/wordcloud.png b/wordcloud.png deleted file mode 100644 index 40b47886ec4b22540bbe9097d36dac64bfc13eea..0000000000000000000000000000000000000000 GIT binary patch literal 0 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