基于ECharts+JS+Flask 交互可视化呈现NBA近期比赛信息及球队排名及数据-源码

from flask import Blueprint, jsonify import requests import config import json import json_process api_bp = Blueprint('api', __name__) # https://dashboard.juhe.cn/data/index/my # 赛程比分 # 'http://apis.juhe.cn/fapig/nba/query' @api_bp.route('/api/getNBA_score_data') def get_score_data(): apiUrl = 'http://127.0.0.1:5000//static/data/game_test.json' apiKey = config.NBA_SCORE_API_KEY requestParams = {'key': apiKey} # {"error_code":10001,"reason":"错误的请求KEY","result":null,"resultcode":"101"} try: response = requests.get(apiUrl, params=requestParams) response.raise_for_status() # 检查响应状态码是否为200 res = json.loads(response.text) if res['error_code'] != 0: return jsonify({'error': '请求异常', 'message': res['reason'], 'error_code': res['error_code']}) else: # 去jso_process.py模块里把json转成二维列表再返回 return json_process.json_process_score(res) except requests.exceptions.RequestException as e: print(f'请求异常: {e}') return jsonify({'error': '请求异常', 'message': str(e)}) # http://127.0.0.1:5000//static/data/rank_test.json # 'http://apis.juhe.cn/fapig/nba/rank' # 球队排名 @api_bp.route('/api/getNBA_rank_data') def get_new_data(): apiUrl = 'http://apis.juhe.cn/fapig/nba/rank' apiKey = config.NBA_SCORE_API_KEY requestParams = {'key': apiKey} try: response = requests.get(apiUrl, params=requestParams) response.raise_for_status() # 检查响应状态码是否为200 res = json.loads(response.text) if res['error_code'] != 0: return jsonify({'error': '请求异常', 'message': res['reason'], 'error_code': res['error_code']}) else: return res except requests.exceptions.RequestException as e: print(f'请求异常: {e}') return jsonify({'error': '请求异常', 'message': str(e)})