关于method not exist:think\db\Query->render错误解决方法

本文介绍了一种使用PHP实现教师信息的分页显示的方法,包括如何通过paginate方法进行分页处理,并在页面中正确显示教师的各项信息及操作按钮。

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 {volist name="Teachers" id="Teachers" key="key"}
            <tr>
                    <td>{$key}</td>
                <td>{$Teachers->getData('name')}</td>
                <td>{eq name='$Teachers->getData("sex")' value='0'}男{else /}女{/eq}</td>
                <td>{$Teachers->getData('email')}</td>
                <td>{$Teachers->getData('username')}</td>
                <td><a href="{:url('edit?id='.$Teachers->getData('id'))}">编辑&nbsp;&nbsp;</a>
                <a href="{:url('delete?id='.$Teachers->getData('id'))}">删除</a></td>
            </tr>
        {/volist}
                </table>
                当前页总条数{$Teachers->count()}
                {$Teachers->render()}
       </div>

html

 

public function index()
    {
        try{
        $pagesize = 10;
        $Teacher = new Teacher;
        //$Teachers = $Teacher->select();
        $Teachers = $Teacher->paginate($pagesize);
       // $teacher = $Teachers[0];
        //var_dump($teacher->getData());
        //echo '<br />';
        //echo $teacher->getData('name');
        //echo '<br />';
        //return $teacher->getData('name');
        $this->assign('Teachers',$Teachers);//像视图传递数据
        //取回打包后的数据
        $htmls = $this->fetch();
        //将数据返回给用户
        return $htmls;
        }catch(\think\Exception\httpResponseException $e){
            throw $e;
        }catch(\Exception $e){
            return $e->getMessage();
        }    
    }

PHP 

 

最开始是上面那样的方法  

 

解决方案:

 <div class="col-md-12">
            <hr />
            <a href="{:url('add')}" class="btn btn-primary"><i class="glyphicon glyphicon-plus"></i>&nbsp;增加</a>
            <hr />
            <table class="table table-hover table-bordered">
                <tr class="info">
                    <th>序号</th>
                    <th>姓名</th>
                    <th>性别</th>
                    <th>邮箱</th>
                    <th>用户名</th>
                    <th>操作</th>
                </tr>
        {volist name="Teachers" id="Teachers" key="key"}
            <tr>
                    <td>{$key}</td>
                <td>{$Teachers->getData('name')}</td>
                <td>{eq name='$Teachers->getData("sex")' value='0'}男{else /}女{/eq}</td>
                <td>{$Teachers->getData('email')}</td>
                <td>{$Teachers->getData('username')}</td>
                <td><a href="{:url('edit?id='.$Teachers->getData('id'))}">编辑&nbsp;&nbsp;</a>
                <a href="{:url('delete?id='.$Teachers->getData('id'))}">删除</a></td>
            </tr>
        {/volist}
                </table>
                当前页总条数{$Teachers->count()}
                {$page}
       </div>

PHP 

public function index()
    {
        try{
        $pagesize = 10;
        $Teacher = new Teacher;
        //$Teachers = $Teacher->select();
        $Teachers = $Teacher->paginate($pagesize);
        $page = $Teachers->render(); 
    //调用render()方法 新添加的这里
// $teacher = $Teachers[0]; //var_dump($teacher->getData()); //echo '<br />'; //echo $teacher->getData('name'); //echo '<br />'; //return $teacher->getData('name'); $this->assign('Teachers',$Teachers);//像视图传递数据 $this->assign('page',$page);//这里要重新传递一下 $htmls = $this->fetch(); //将数据返回给用户 return $htmls; }catch(\think\Exception\httpResponseException $e){ throw $e; }catch(\Exception $e){ return $e->getMessage(); } }//千锋PHP-PHP培训的实力派

 

转载于:https://www.cnblogs.com/gaohj/p/6942282.html

from flask import Flask, render_template, redirect, url_for, request, flash import paho.mqtt.client as mqtt import json from threading import Thread from flask_sqlalchemy import SQLAlchemy from flask_login import LoginManager, UserMixin, login_user, login_required, logout_user, current_user from werkzeug.security import generate_password_hash, check_password_hash from flask_socketio import SocketIO from datetime import datetime from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes from cryptography.hazmat.primitives import padding from cryptography.hazmat.backends import default_backend import base64 from flask import request, jsonify from vosk import Model, KaldiRecognizer import wave import os from paddleocr import PaddleOCR from paddlehub.module.module import Module import cv2 # 初始化 Flask 和扩展 app = Flask(__name__) socketio = SocketIO(app) # 初始化 Flask-SocketIO app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///iot_130.db' app.config['SECRET_KEY'] = 'your_secret_key' app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False db = SQLAlchemy(app) login_manager = LoginManager(app) login_manager.login_view = 'login' # AES 配置 SECRET_KEY = b"your_secret_key".ljust(32, b'\0') # AES-256密钥(32字节) IV = b"16_byte_iv_12345" # 16字节的初始化向量 # AES解密函数 def decrypt_data(encrypted_data, key): backend = default_backend() cipher = Cipher(algorithms.AES(key), modes.CBC(IV), backend=backend) decryptor = cipher.decryptor() unpadder = padding.PKCS7(128).unpadder() decrypted = decryptor.update(base64.b64decode(encrypted_data)) + decryptor.finalize() unpadded_data = unpadder.update(decrypted) + unpadder.finalize() return unpadded_data.decode() # AES加密函数 def encrypt_data(data, key): backend = default_backend() cipher = Cipher(algorithms.AES(key), modes.CBC(IV), backend=backend) encryptor = cipher.encryptor() padder = padding.PKCS7(128).padder() padded_data = padder.update(data) + padder.finalize() encrypted = encryptor.update(padded_data) + encryptor.finalize() return base64.b64encode(encrypted).decode() # User 表 class User(UserMixin, db.Model): __tablename__ = 'User' id = db.Column(db.Integer, primary_key=True, autoincrement=True) username = db.Column(db.String(150), unique=True, nullable=False) password = db.Column(db.String(150), nullable=False) role = db.Column(db.String(50), default='user') # Device 表 class Device(db.Model): __tablename__ = 'Device' id = db.Column(db.Integer, primary_key=True, autoincrement=True) name = db.Column(db.String(150), nullable=False) type = db.Column(db.String(150), nullable=False) status = db.Column(db.String(50), default='offline') last_seen = db.Column(db.DateTime, default=None) # SensorData 表 class SensorData(db.Model): __tablename__ = 'SensorData' id = db.Column(db.Integer, primary_key=True, autoincrement=True) device_id = db.Column(db.Integer, db.ForeignKey('Device.id'), nullable=False) value = db.Column(db.Float, nullable=False) timestamp = db.Column(db.DateTime, default=datetime.utcnow) # Command 表 class Command(db.Model): __tablename__ = 'Command' id = db.Column(db.Integer, primary_key=True, autoincrement=True) device_id = db.Column(db.Integer, db.ForeignKey('Device.id'), nullable=False) command = db.Column(db.String(150), nullable=False) status = db.Column(db.String(50), default='pending') timestamp = db.Column(db.DateTime, default=datetime.utcnow) # 初始化数据库 with app.app_context(): db.create_all() @login_manager.user_loader def load_user(user_id): return User.query.get(int(user_id)) @app.route('/register', methods=['GET', 'POST']) def register(): if request.method == 'POST': username = request.form['username'] password = request.form['password'] hashed_password = generate_password_hash(password) # 检查用户名是否已存在 if User.query.filter_by(username=username).first(): flash('用户名已存在!') return redirect(url_for('register')) # 创建新用户 new_user = User(username=username, password=hashed_password) db.session.add(new_user) db.session.commit() flash('注册成功!请登录。') return redirect(url_for('login')) return render_template('register.html') @app.route('/login', methods=['GET', 'POST']) def login(): if request.method == 'POST': username = request.form['username'] password = request.form['password'] user = User.query.filter_by(username=username).first() if user and check_password_hash(user.password, password): login_user(user) return redirect(url_for('index')) flash('用户名或密码错误!') return render_template('login.html') @app.route('/logout') @login_required def logout(): logout_user() return redirect(url_for('login')) # 上传页面 @app.route('/upload', methods=['GET', 'POST']) @login_required def upload(): if request.method == 'POST': # 检查是否有文件上传 if 'file' not in request.files: flash('没有选择文件!') return redirect(request.url) file = request.files['file'] if file.filename == '': flash('没有选择文件!') return redirect(request.url) # 保存文件到 wav 目录 if file and file.filename.endswith('.wav'): filepath = os.path.join('wav', file.filename) file.save(filepath) # 使用 Vosk 模型进行语音识别 text = transcribe_audio(filepath) # 返回识别结果 return render_template('upload.html', text=text) return render_template('upload.html', text=None) @app.route('/image_upload', methods=['GET', 'POST']) @login_required def image_upload(): if request.method == 'POST': if 'image' not in request.files: flash('没有选择图像文件!') return redirect(request.url) image_file = request.files['image'] if image_file.filename == '': flash('没有选择图像文件!') return redirect(request.url) if image_file and image_file.filename.lower().endswith(('.png', '.jpg', '.jpeg')): image_path = os.path.join('static/uploads/images', image_file.filename) image_file.save(image_path) # 使用 PP-OCRv5 模型进行文字识别和图像检测 recognized_text = recognize_text(image_path) return render_template('image_upload.html', text=recognized_text) return render_template('image_upload.html', text=None) @app.route('/video_upload', methods=['GET', 'POST']) @login_required def video_upload(): if request.method == 'POST': if 'video' not in request.files: flash('没有选择视频文件!') return redirect(request.url) video_file = request.files['video'] if video_file.filename == '': flash('没有选择视频文件!') return redirect(request.url) if video_file and video_file.filename.lower().endswith(('.mp4', '.avi', '.mov')): video_path = os.path.join('static/uploads/videos', video_file.filename) video_file.save(video_path) # 使用 PaddleHub 模型进行宠物分类 classification_result = classify_pets_in_video(video_path) return render_template('video_upload.html', result=classification_result) return render_template('video_upload.html', result=None) def classify_pets_in_video(video_path): """使用 PaddleHub 模型对视频中的宠物进行分类""" try: # 加载 PaddleHub 的宠物分类模型 module = Module(name="resnet50_vd_animals") except Exception as e: print(f"模型加载失败: {e}") return # 打开视频文件 cap = cv2.VideoCapture(video_path) if not cap.isOpened(): print(f"无法打开视频文件: {video_path}") return frame_count = 0 results = [] while cap.isOpened(): ret, frame = cap.read() if not ret: break # 每隔一定帧数进行分类 if frame_count % 30 == 0: # 每30帧处理一次 print(f"正在处理第 {frame_count} 帧...") try: # 转换帧为 RGB 格式(PaddleHub 模型需要 RGB 格式) frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) # 使用 PaddleHub 模型进行分类 result = module.classification(images=[frame_rgb]) results.append(result) except Exception as e: print(f"处理第 {frame_count} 帧时出错: {e}") frame_count += 1 cap.release() print("视频处理完成!") return results def recognize_text(image_path): """使用 PP-OCRv5 模型识别图像中的文字并检测图像""" ocr = PaddleOCR( text_detection_model_name="PP-OCRv5_mobile_det", text_recognition_model_name="PP-OCRv5_mobile_rec", use_doc_orientation_classify=False, use_doc_unwarping=False, use_textline_orientation=False, ) result = ocr.predict(image_path) print("result:", result) # 打印结果以调试 return result[0]['rec_texts'] def transcribe_audio(filepath): """使用 Vosk 模型将音频转换为文本""" model_path = "models/vosk-model-small-cn-0.22" if not os.path.exists(model_path): raise FileNotFoundError("Vosk 模型未找到,请检查路径!") model = Model(model_path) wf = wave.open(filepath, "rb") rec = KaldiRecognizer(model, wf.getframerate()) result_text = "" while True: data = wf.readframes(4000) if len(data) == 0: break if rec.AcceptWaveform(data): result = rec.Result() result_text += json.loads(result).get("text", "") wf.close() return result_text # MQTT配置 MQTT_BROKER = "localhost" # 或EMQX服务器地址 MQTT_PORT = 1883 # 存储最新温度和风扇状态 mytemp = None myfan = "off" def init_device(device_name, device_type): """初始化设备到数据库""" with app.app_context(): device = Device.query.filter_by(name=device_name).first() if not device: device = Device(name=device_name, type=device_type, status="offline") db.session.add(device) db.session.commit() def save_sensor_data(device_name, value): """保存传感器数据到 SensorData 表""" with app.app_context(): device = Device.query.filter_by(name=device_name).first() if device: sensor_data = SensorData(device_id=device.id, value=value) db.session.add(sensor_data) db.session.commit() def save_command(device_name, command): """保存控制指令到 Command 表""" with app.app_context(): device = Device.query.filter_by(name=device_name).first() if device: cmd = Command(device_id=device.id, command=command) db.session.add(cmd) db.session.commit() def on_connect(client, userdata, flags, rc): print(f"MQTT连接结果: {rc}") client.subscribe("topic/temp") # 订阅温度主题 def on_message(client, userdata, msg): global mytemp, myfan try: if msg.topic == "topic/temp": encrypted_payload = msg.payload.decode() decrypted_payload = decrypt_data(encrypted_payload, SECRET_KEY) payload = json.loads(decrypted_payload) mytemp = payload["temp"] print(f"解密温度数据: {mytemp}°C") # 保存传感器数据到数据库 save_sensor_data("temp", mytemp) # 根据温度控制风扇 if mytemp >= 30: control_fan("on") myfan = "on" else: control_fan("off") myfan = "off" # 实时推送温度数据到前端 socketio.emit('sensor_data', {'temp': mytemp, 'fan': myfan}) except Exception as e: print(f"解密失败或处理异常: {e}") def control_fan(command): """发送加密控制指令给风扇并保存到数据库""" payload = json.dumps({"fan": command}) encrypted_payload = encrypt_data(payload.encode(), SECRET_KEY) mqtt_client.publish("topic/fan", encrypted_payload) print(f"发送加密控制指令: {encrypted_payload}") # 保存控制指令到数据库 save_command("fan", command) def run_mqtt_client(): global mqtt_client mqtt_client = mqtt.Client() mqtt_client.on_connect = on_connect mqtt_client.on_message = on_message mqtt_client.username_pw_set("admin", "admin") # 账号密码验证 mqtt_client.connect(MQTT_BROKER, MQTT_PORT, 60) mqtt_client.loop_forever() @app.route('/') @login_required # 保护 chart.html def index(): return render_template('chart.html') # 渲染前端页面 if __name__ == "__main__": # 初始化设备 with app.app_context(): init_device("temp", "sensor") init_device("fan", "actuator") # 启动MQTT客户端线程 mqtt_thread = Thread(target=run_mqtt_client) mqtt_thread.daemon = True mqtt_thread.start() # 启动Flask-SocketIO应用,启用TLS socketio.run(app, host="0.0.0.0", port=9000, debug=False, ssl_context=("ca/server.crt", "ca/server.key"))怎么改使用一个页面上传按钮,可同时上传图像、音频、视频,并将识别结果显示在该页面。
06-12
# E:\AI_System\web_ui\server.py import sys import os import time import logging import json import traceback import threading import platform import psutil import datetime from pathlib import Path from flask import Flask, jsonify, request, render_template from logging.handlers import TimedRotatingFileHandler from flask_socketio import SocketIO, emit # ========== 配置系统 ========== class SystemConfig: def __init__(self): self.BASE_DIR = Path(__file__).resolve().parent.parent self.HOST = '127.0.0.1' self.PORT = 5000 self.LOG_LEVEL = 'INFO' self.SECRET_KEY = 'your_secret_key_here' self.DEBUG = True self.USE_GPU = False self.DEFAULT_MODEL = 'gpt-3.5-turbo' # 目录配置 self.LOG_DIR = self.BASE_DIR / 'logs' self.LOG_DIR.mkdir(parents=True, exist_ok=True) self.CONFIG_DIR = self.BASE_DIR / 'config' self.CONFIG_DIR.mkdir(parents=True, exist_ok=True) self.AGENT_PATH = self.BASE_DIR / 'agent' self.MODEL_CACHE_DIR = self.BASE_DIR / 'model_cache' self.MODEL_CACHE_DIR.mkdir(parents=True, exist_ok=True) def __str__(self): return f"SystemConfig(HOST={self.HOST}, PORT={self.PORT})" config = SystemConfig() # ========== 全局协调器 ========== coordinator = None def register_coordinator(coord): """注册意识系统协调器""" global coordinator coordinator = coord if coordinator and hasattr(coordinator, 'connect_to_ui'): coordinator.connect_to_ui(update_ui) def update_ui(event): """更新UI事件处理""" if 'socketio' in globals(): socketio.emit('system_event', event) # ========== 初始化日志系统 ========== def setup_logger(): """配置全局日志系统""" logger = logging.getLogger('WebServer') logger.setLevel(getattr(logging, config.LOG_LEVEL.upper(), logging.INFO)) # 日志格式 log_formatter = logging.Formatter( '%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%Y-%m-%d %H:%M:%S' ) # 文件日志处理器 (每天轮换,保留30天) file_handler = TimedRotatingFileHandler( config.LOG_DIR / 'web_server.log', when='midnight', backupCount=30, encoding='utf-8' ) file_handler.setFormatter(log_formatter) logger.addHandler(file_handler) # 控制台日志处理器 console_handler = logging.StreamHandler() console_handler.setFormatter(log_formatter) logger.addHandler(console_handler) # 安全日志处理装饰器 def safe_logger(func): def wrapper(*args, **kwargs): try: return func(*args, **kwargs) except UnicodeEncodeError: new_args = [] for arg in args: if isinstance(arg, str): new_args.append(arg.encode('ascii', 'ignore').decode('ascii')) else: new_args.append(arg) return func(*new_args, **kwargs) return wrapper # 应用安全日志处理 for level in ['debug', 'info', 'warning', 'error', 'critical']: setattr(logger, level, safe_logger(getattr(logger, level))) return logger # 初始化日志 logger = setup_logger() # ========== 系统初始化 ========== class SystemInitializer: """负责初始化系统核心组件""" def __init__(self): self.base_dir = Path(__file__).resolve().parent.parent self.ai_core = None self.hardware_manager = None self.life_scheduler = None self.ai_agent = None self.start_time = time.time() self.environment_manager = None def initialize_system_paths(self): """初始化系统路径""" sys.path.insert(0, str(self.base_dir)) logger.info(f"项目根目录: {self.base_dir}") sub_dirs = ['agent', 'core', 'utils', 'config', 'cognitive_arch', 'environment'] for sub_dir in sub_dirs: full_path = self.base_dir / sub_dir if full_path.exists(): sys.path.insert(0, str(full_path)) logger.info(f"添加路径: {full_path}") else: logger.warning(f"目录不存在: {full_path}") def initialize_environment_manager(self): """初始化环境管理器""" try: # 环境管理器模拟实现 class EnvironmentManager: def __init__(self, config): self.config = config self.state = { 'temperature': 22.5, 'humidity': 45.0, 'light_level': 75, 'objects': [], 'last_updated': datetime.datetime.now().isoformat() } def start(self): logger.info("环境管理器已启动") def get_state(self): # 更新模拟数据 self.state['temperature'] = 20 + 5 * (time.time() % 10) / 10 self.state['humidity'] = 40 + 10 * (time.time() % 10) / 10 self.state['light_level'] = 70 + 10 * (time.time() % 10) / 10 self.state['last_updated'] = datetime.datetime.now().isoformat() return self.state def execute_action(self, action, params): logger.info(f"执行环境动作: {action} 参数: {params}") if action == "adjust_temperature": self.state['temperature'] = params.get('value', 22.0) return True elif action == "adjust_light": self.state['light_level'] = params.get('level', 70) return True return False env_config = {'update_interval': 1.0, 'spatial': {'grid_size': 1.0}} self.environment_manager = EnvironmentManager(env_config) self.environment_manager.start() logger.info("✅ 环境管理器初始化成功") return self.environment_manager except Exception as e: logger.error(f"❌ 环境管理器初始化失败: {str(e)}") logger.warning("⚠️ 环境交互功能将不可用") return None def initialize_ai_core(self): """初始化AI核心系统""" class AICore: def __init__(self, base_dir): self.base_dir = Path(base_dir) self.genetic_code = self.load_genetic_code() self.physical_state = { "health": 100, "energy": 100, "mood": "calm" } self.dependencies = self.scan_dependencies() def load_genetic_code(self): code_path = self.base_dir / "core" / "genetic_code.py" try: if not code_path.exists(): # 创建默认遗传代码文件 default_code = """# 默认遗传代码 class AICore: def __init__(self): self.version = "1.0.0" self.capabilities = ["learning", "reasoning", "problem_solving"] def evolve(self): print("系统正在进化...") """ with open(code_path, "w", encoding="utf-8") as f: f.write(default_code) with open(code_path, "r", encoding="utf-8") as f: return f.read() except Exception as e: logger.error(f"加载遗传代码失败: {str(e)}") return "# 默认遗传代码\nclass AICore:\n pass" def scan_dependencies(self): return { "nervous_system": "flask", "memory": "sqlite", "perception": "opencv", "reasoning": "transformers" } def mutate(self, new_code): try: code_path = self.base_dir / "core" / "genetic_code.py" with open(code_path, "w", encoding="utf-8") as f: f.write(new_code) return True, "核心代码更新成功,系统已进化" except Exception as e: return False, f"进化失败: {str(e)}" def wear_dependency(self, dependency_name, version): self.dependencies[dependency_name] = version return f"已穿戴 {dependency_name}@{version}" def get_state(self): return { "genetic_code_hash": hash(self.genetic_code), "dependencies": self.dependencies, "physical_state": self.physical_state, "hardware_environment": self.get_hardware_info() } def get_hardware_info(self): return { "cpu": platform.processor(), "cpu_cores": psutil.cpu_count(logical=False), "cpu_threads": psutil.cpu_count(logical=True), "memory_gb": round(psutil.virtual_memory().total / (1024 ** 3), 1), "storage_gb": round(psutil.disk_usage('/').total / (1024 ** 3), 1), "os": f"{platform.system()} {platform.release()}" } self.ai_core = AICore(self.base_dir) logger.info("✅ AI核心系统初始化完成") return self.ai_core def initialize_hardware_manager(self): """初始化硬件管理器""" try: # 硬件管理器模拟实现 class HardwareManager: def __init__(self): self.available_hardware = { "cpu": ["Intel i9-13900K", "AMD Ryzen 9 7950X", "Apple M2 Max"], "gpu": ["NVIDIA RTX 4090", "AMD Radeon RX 7900 XTX", "Apple M2 GPU"], "memory": [16, 32, 64, 128], "storage": ["1TB SSD", "2TB SSD", "4TB SSD", "8TB HDD"], "peripherals": ["4K Camera", "3D Scanner", "High-Fidelity Microphone"] } self.current_setup = { "cpu": platform.processor(), "gpu": "Integrated Graphics", "memory": round(psutil.virtual_memory().total / (1024 ** 3), 1), "storage": round(psutil.disk_usage('/').total / (1024 ** 3), 1) } def request_hardware(self, hardware_type, specification): if hardware_type not in self.available_hardware: return False, f"不支持硬件类型: {hardware_type}" if specification not in self.available_hardware[hardware_type]: return False, f"不支持的规格: {specification}" self.current_setup[hardware_type] = specification return True, f"已请求 {hardware_type}: {specification}。请管理员完成安装。" def get_current_setup(self): return self.current_setup def get_performance_metrics(self): return { "cpu_usage": psutil.cpu_percent(), "memory_usage": psutil.virtual_memory().percent, "disk_usage": psutil.disk_usage('/').percent, "cpu_temp": 45.0, "gpu_temp": 55.0, "network_io": { "sent": psutil.net_io_counters().bytes_sent, "received": psutil.net_io_counters().bytes_recv }, "last_updated": datetime.datetime.now().isoformat() } self.hardware_manager = HardwareManager() logger.info("✅ 硬件管理器初始化成功") return self.hardware_manager except Exception as e: logger.error(f"❌ 硬件管理器初始化失败: {str(e)}") logger.warning("⚠️ 使用内置简单硬件管理器") return None def initialize_life_scheduler(self): """初始化生活调度器""" try: # 生活调度器模拟实现 class LifeScheduler: def __init__(self): self.daily_schedule = { "wake_up": "07:00", "breakfast": "08:00", "lunch": "12:30", "dinner": "19:00", "sleep": "23:00" } self.current_activity = "awake" self.energy_level = 100 self.mood = "calm" self.activity_log = [] def wake_up(self): self.current_activity = "awake" self.log_activity("醒来") def have_meal(self, meal_type): self.current_activity = f"eating_{meal_type}" self.energy_level = min(100, self.energy_level + 20) self.log_activity(f"用餐: {meal_type}") def go_to_sleep(self): self.current_activity = "sleeping" self.log_activity("睡觉") def log_activity(self, activity): timestamp = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") self.activity_log.append(f"{timestamp} - {activity}") # 保留最近的100条记录 if len(self.activity_log) > 100: self.activity_log.pop(0) def adjust_schedule(self, adjustments): for activity, new_time in adjustments.items(): if activity in self.daily_schedule: self.daily_schedule[activity] = new_time def get_current_state(self): return { "current_activity": self.current_activity, "next_scheduled": self._get_next_scheduled(), "energy_level": self.energy_level, "mood": self.mood } def get_recent_activities(self, count=10): return self.activity_log[-count:] def _get_next_scheduled(self): now = datetime.datetime.now() current_time = now.strftime("%H:%M") # 找到下一个计划活动 schedule_times = sorted( [(k, v) for k, v in self.daily_schedule.items()], key=lambda x: x[1] ) for activity, time_str in schedule_times: if time_str > current_time: return f"{activity} at {time_str}" # 如果没有找到,返回第二天的第一个活动 return f"{schedule_times[0][0]} at {schedule_times[0][1]} tomorrow" self.life_scheduler = LifeScheduler() logger.info("✅ 生活调度器初始化成功") # 启动生活系统后台线程 life_thread = threading.Thread( target=self._update_life_status, daemon=True, name="LifeSystemThread" ) life_thread.start() logger.info("✅ 生活系统后台线程已启动") return self.life_scheduler except Exception as e: logger.error(f"❌ 生活调度器初始化失败: {str(e)}") return None def _update_life_status(self): logger.info("🚦 生活系统后台线程启动") while True: try: now = datetime.datetime.now() current_hour = now.hour current_minute = now.minute current_time = f"{current_hour:02d}:{current_minute:02d}" # 根据时间更新活动状态 if 7 <= current_hour < 8 and self.life_scheduler.current_activity != "awake": self.life_scheduler.wake_up() elif 12 <= current_hour < 13 and self.life_scheduler.current_activity != "eating_lunch": self.life_scheduler.have_meal("lunch") elif 19 <= current_hour < 20 and self.life_scheduler.current_activity != "eating_dinner": self.life_scheduler.have_meal("dinner") elif (23 <= current_hour or current_hour < 6) and self.life_scheduler.current_activity != "sleeping": self.life_scheduler.go_to_sleep() # 自然能量消耗 if self.life_scheduler.current_activity != "sleeping": self.life_scheduler.energy_level = max(0, self.life_scheduler.energy_level - 0.1) time.sleep(60) except Exception as e: logger.error(f"生活系统更新失败: {str(e)}", exc_info=True) time.sleep(300) def initialize_ai_agent(self): """初始化AI智能体""" try: # AI智能体模拟实现 class AutonomousAgent: def __init__(self, model_path, cache_dir, use_gpu, default_model): self.model_name = default_model self.cache_dir = cache_dir self.use_gpu = use_gpu self.conversation_history = {} def process_input(self, user_input, user_id): # 初始化用户对话历史 if user_id not in self.conversation_history: self.conversation_history[user_id] = [] # 添加用户输入到历史 self.conversation_history[user_id].append({"role": "user", "content": user_input}) # 生成AI响应(模拟) if "你好" in user_input or "hello" in user_input: response = "你好!我是AI助手,有什么可以帮您的吗?" elif "时间" in user_input: response = f"现在是 {datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}" elif "状态" in user_input: response = "系统运行正常,所有组件都在线。" else: response = f"我已收到您的消息: '{user_input}'。这是一个模拟响应,实际系统中我会分析您的问题并提供专业解答。" # 添加AI响应到历史 self.conversation_history[user_id].append({"role": "assistant", "content": response}) return response def get_status(self): return { "model": self.model_name, "cache_dir": str(self.cache_dir), "use_gpu": self.use_gpu, "active_conversations": len(self.conversation_history) } self.ai_agent = AutonomousAgent( model_path=config.AGENT_PATH, cache_dir=config.MODEL_CACHE_DIR, use_gpu=config.USE_GPU, default_model=config.DEFAULT_MODEL ) logger.info("✅ AI智能体初始化成功") return self.ai_agent except Exception as e: logger.error(f"❌ AI智能体初始化失败: {str(e)}") return None def start_evolution_monitor(self): def monitor(): while True: try: cpu_usage = psutil.cpu_percent() mem_usage = psutil.virtual_memory().percent # 根据系统负载调整AI状态 if cpu_usage > 80: self.ai_core.physical_state["energy"] = max(20, self.ai_core.physical_state["energy"] - 5) self.ai_core.physical_state["mood"] = "strained" elif cpu_usage < 30: self.ai_core.physical_state["energy"] = min(100, self.ai_core.physical_state["energy"] + 2) time.sleep(60) except Exception as e: logging.error(f"进化监控错误: {str(e)}") time.sleep(300) monitor_thread = threading.Thread(target=monitor, daemon=True) monitor_thread.start() logger.info("✅ 进化监控线程已启动") def initialize_all(self): logger.info("=" * 50) logger.info("🚀 开始初始化AI系统") logger.info("=" * 50) self.initialize_system_paths() self.initialize_ai_core() self.initialize_hardware_manager() self.initialize_life_scheduler() self.initialize_ai_agent() self.initialize_environment_manager() self.start_evolution_monitor() logger.info("✅ 所有系统组件初始化完成") return { "ai_core": self.ai_core, "hardware_manager": self.hardware_manager, "life_scheduler": self.life_scheduler, "ai_agent": self.ai_agent, "environment_manager": self.environment_manager } # ========== Flask应用工厂 ========== def create_app(): app = Flask( __name__, template_folder='templates', static_folder='static', static_url_path='/static' ) app.secret_key = config.SECRET_KEY system_initializer = SystemInitializer() components = system_initializer.initialize_all() app.config['SYSTEM_COMPONENTS'] = components app.config['START_TIME'] = system_initializer.start_time app.config['BASE_DIR'] = system_initializer.base_dir # 初始化SocketIO socketio = SocketIO(app, cors_allowed_origins="*", async_mode='threading') app.config['SOCKETIO'] = socketio # 注册路由 register_routes(app) register_error_handlers(app) return app, socketio # ========== 环境交互路由 ========== def register_environment_routes(app): @app.route('/environment') def environment_view(): return render_template('environment_view.html') @app.route('/api/environment/state', methods=['GET']) def get_environment_state(): env_manager = app.config['SYSTEM_COMPONENTS'].get('environment_manager') if not env_manager: return jsonify({"success": False, "error": "环境管理器未初始化"}), 503 try: state = env_manager.get_state() return jsonify(state) except Exception as e: app.logger.error(f"获取环境状态失败: {traceback.format_exc()}") return jsonify({"success": False, "error": str(e)}), 500 @app.route('/api/environment/action', methods=['POST']) def execute_environment_action(): env_manager = app.config['SYSTEM_COMPONENTS'].get('environment_manager') if not env_manager: return jsonify({"success": False, "error": "环境管理器未初始化"}), 503 try: data = request.json action = data.get('action') params = data.get('params', {}) if not action: return jsonify({"success": False, "error": "缺少动作参数"}), 400 success = env_manager.execute_action(action, params) return jsonify({"success": success, "action": action}) except Exception as e: app.logger.error(f"执行环境动作失败: {traceback.format_exc()}") return jsonify({"success": False, "error": str(e)}), 500 # ========== 环境状态广播 ========== def setup_environment_broadcast(app): socketio = app.config['SOCKETIO'] @socketio.on('connect', namespace='/environment') def handle_environment_connect(): app.logger.info('客户端已连接环境WebSocket') @socketio.on('disconnect', namespace='/environment') def handle_environment_disconnect(): app.logger.info('客户端已断开环境WebSocket') def broadcast_environment_state(): env_manager = app.config['SYSTEM_COMPONENTS'].get('environment_manager') if not env_manager: return while True: try: state = env_manager.get_state() socketio.emit('environment_update', state, namespace='/environment') time.sleep(1) except Exception as e: app.logger.error(f"环境状态广播失败: {str(e)}") time.sleep(5) broadcast_thread = threading.Thread( target=broadcast_environment_state, daemon=True, name="EnvironmentBroadcastThread" ) broadcast_thread.start() app.logger.info("✅ 环境状态广播线程已启动") # ========== 路由注册 ========== def register_routes(app): register_environment_routes(app) setup_environment_broadcast(app) @app.route('/') def index(): return render_template('agent_interface.html') @app.route('/status') def status(): try: components = app.config['SYSTEM_COMPONENTS'] status_data = { "server": { "status": "running", "uptime": time.time() - app.config['START_TIME'], "version": "1.0.0", "config": { "host": config.HOST, "port": config.PORT, "log_level": config.LOG_LEVEL, "default_model": config.DEFAULT_MODEL } }, "core": components['ai_core'].get_state(), "hardware": components['hardware_manager'].get_current_setup() } if components['environment_manager']: try: status_data["environment"] = components['environment_manager'].get_state() except Exception as e: status_data["environment"] = {"error": str(e)} if components['life_scheduler']: try: status_data["life_system"] = components['life_scheduler'].get_current_state() except Exception as e: status_data["life_system"] = {"error": str(e)} if components['ai_agent']: try: status_data["agent"] = components['ai_agent'].get_status() except Exception as e: status_data["agent"] = {"error": str(e)} return jsonify(status_data) except Exception as e: app.logger.error(f"获取状态失败: {traceback.format_exc()}") return jsonify({"error": "内部错误", "details": str(e)}), 500 # 核心系统路由 @app.route('/api/core/state') def get_core_state(): return jsonify(app.config['SYSTEM_COMPONENTS']['ai_core'].get_state()) @app.route('/api/core/mutate', methods=['POST']) def mutate_core(): data = request.get_json() new_code = data.get('genetic_code') if not new_code: return jsonify({"success": False, "error": "缺少遗传代码"}), 400 success, message = app.config['SYSTEM_COMPONENTS']['ai_core'].mutate(new_code) return jsonify({"success": success, "message": message}) @app.route('/api/core/wear', methods=['POST']) def wear_dependency(): data = request.get_json() dep_name = data.get('dependency') version = data.get('version', 'latest') if not dep_name: return jsonify({"success": False, "error": "缺少依赖名称"}), 400 result = app.config['SYSTEM_COMPONENTS']['ai_core'].wear_dependency(dep_name, version) return jsonify({"success": True, "message": result}) # 硬件管理路由 @app.route('/api/hardware/catalog') def get_hardware_catalog(): return jsonify(app.config['SYSTEM_COMPONENTS']['hardware_manager'].available_hardware) @app.route('/api/hardware/request', methods=['POST']) def request_hardware(): data = request.get_json() hw_type = data.get('type') spec = data.get('specification') if not hw_type or not spec: return jsonify({"success": False, "error": "缺少硬件类型或规格"}), 400 success, message = app.config['SYSTEM_COMPONENTS']['hardware_manager'].request_hardware(hw_type, spec) return jsonify({"success": success, "message": message}) @app.route('/api/hardware/current') def get_current_hardware(): return jsonify(app.config['SYSTEM_COMPONENTS']['hardware_manager'].get_current_setup()) # 生活系统路由 @app.route('/life') def life_dashboard(): return render_template('life_dashboard.html') @app.route('/api/life/status') def get_life_status(): components = app.config['SYSTEM_COMPONENTS'] if not components['life_scheduler']: return jsonify({"success": False, "error": "生活系统未初始化"}), 503 try: current_state = components['life_scheduler'].get_current_state() recent_activities = components['life_scheduler'].get_recent_activities(10) return jsonify({ "success": True, "current_activity": current_state.get("current_activity", "未知"), "next_scheduled": current_state.get("next_scheduled", "未知"), "recent_activities": recent_activities, "energy_level": current_state.get("energy_level", 100), "mood": current_state.get("mood", "平静") }) except Exception as e: app.logger.error(f"获取生活状态失败: {traceback.format_exc()}") return jsonify({"success": False, "error": str(e)}), 500 @app.route('/adjust_schedule', methods=['POST']) def adjust_schedule(): components = app.config['SYSTEM_COMPONENTS'] if not components['life_scheduler']: return jsonify({"success": False, "error": "生活系统未初始化"}), 503 try: data = request.json adjustments = data.get("adjustments", {}) valid_activities = ["wake_up", "breakfast", "lunch", "dinner", "sleep"] for activity, new_time in adjustments.items(): if activity not in valid_activities: return jsonify({"success": False, "error": f"无效的活动类型: {activity}"}), 400 if not isinstance(new_time, str) or len(new_time) != 5 or new_time[2] != ':': return jsonify({"success": False, "error": f"无效的时间格式: {new_time}"}), 400 components['life_scheduler'].adjust_schedule(adjustments) return jsonify({ "success": True, "message": "计划表已更新", "new_schedule": components['life_scheduler'].daily_schedule }) except Exception as e: app.logger.error(f"调整作息时间失败: {traceback.format_exc()}") return jsonify({"success": False, "error": str(e)}), 400 # 聊天路由 @app.route('/chat', methods=['POST']) def chat(): components = app.config['SYSTEM_COMPONENTS'] if not components['ai_agent']: return jsonify({"error": "Agent未初始化"}), 503 try: data = request.get_json() user_input = data.get('message', '') user_id = data.get('user_id', 'default') if not user_input: return jsonify({"error": "消息内容不能为空"}), 400 app.logger.info(f"聊天请求: 用户={user_id}, 内容长度={len(user_input)}") response = components['ai_agent'].process_input(user_input, user_id) return jsonify({"response": response}) except Exception as e: app.logger.error(f"聊天处理失败: {traceback.format_exc()}") return jsonify({"error": "聊天处理失败", "details": str(e)}), 500 # 家具管理路由 furniture_cache = {} CACHE_DURATION = 3600 # 1小时 @app.route('/api/furniture') def get_furniture(): try: room = request.args.get('room', 'workshop') app.logger.info(f"获取家具数据: 房间={room}") current_time = time.time() if room in furniture_cache and current_time - furniture_cache[room]['timestamp'] < CACHE_DURATION: return jsonify(furniture_cache[room]['data']) furniture_data = { "workshop": [ {"type": "desk", "position": {"x": 0, "y": -1.5, "z": -3}, "rotation": {"x": 0, "y": 0, "z": 0}}, {"type": "chair", "position": {"x": 0, "y": -1.5, "z": -1}, "rotation": {"x": 0, "y": 0, "z": 0}}, {"type": "bookshelf", "position": {"x": 3, "y": 0, "z": -3}, "rotation": {"x": 0, "y": 0, "z": 0}}, {"type": "computer", "position": {"x": 0.5, "y": -0.5, "z": -3.2}, "rotation": {"x": 0, "y": 0, "z": 0}} ], "living_room": [ {"type": "sofa", "position": {"x": 0, "y": 0, "z": -2}, "rotation": {"x": 0, "y": 0, "z": 0}}, {"type": "tv", "position": {"x": 0, "y": 1.5, "z": -3}, "rotation": {"x": 0, "y": 0, "z": 0}} ], "bedroom": [ {"type": "bed", "position": {"x": 0, "y": 0, "z": -3}, "rotation": {"x": 0, "y": 0, "z": 0}}, {"type": "nightstand", "position": {"x": 1.5, "y": 0, "z": -2.5}, "rotation": {"x": 0, "y": 0, "z": 0}} ] } furniture_cache[room] = { 'timestamp': current_time, 'data': furniture_data.get(room, []) } return jsonify(furniture_cache[room]['data']) except Exception as e: app.logger.error(f"获取家具数据失败: {traceback.format_exc()}") return jsonify({"error": "内部错误", "details": str(e)}), 500 # ========== 错误处理器 ========== def register_error_handlers(app): @app.errorhandler(404) def page_not_found(error): app.logger.warning(f"404错误: {request.path}") return jsonify({ "error": "资源未找到", "path": request.path, "method": request.method }), 404 @app.errorhandler(500) def internal_server_error(error): app.logger.error(f"500错误: {str(error)}") return jsonify({ "error": "服务器内部错误", "message": "系统遇到意外错误,请稍后重试" }), 500 @app.errorhandler(Exception) def handle_general_exception(error): app.logger.error(f"未处理异常: {traceback.format_exc()}") return jsonify({ "error": "未处理的异常", "type": type(error).__name__, "message": str(error) }), 500 # ========== WebSocket处理 ========== def setup_websocket_handlers(socketio): @socketio.on('connect') def handle_connect(): logger.info('客户端已连接') socketio.emit('system_status', {'status': 'ready'}) @socketio.on('disconnect') def handle_disconnect(): logger.info('客户端已断开连接') @socketio.on('user_message') def handle_user_message(data): user_id = data.get('user_id', 'guest') message = data.get('message', '') logger.info(f"收到来自 {user_id} 的消息: {message}") # 处理消息逻辑 response = f"已收到您的消息: {message}" # 如果有协调器,使用协调器处理 global coordinator if coordinator: try: response = coordinator.process_message(message) except Exception as e: logger.error(f"协调器处理消息失败: {str(e)}") socketio.emit('agent_response', { 'user_id': user_id, 'response': response }) # ========== 主程序入口 ========== if __name__ == '__main__': try: app, socketio = create_app() # 设置WebSocket处理器 setup_websocket_handlers(socketio) # 启动服务器 socketio.run( app, host=config.HOST, port=config.PORT, debug=config.DEBUG, use_reloader=False ) logger.info(f"服务器运行在 http://{config.HOST}:{config.PORT}") except KeyboardInterrupt: logger.info("服务器关闭") except Exception as e: logger.critical(f"服务器启动失败: {str(e)}") logger.error(traceback.format_exc())
最新发布
08-11
条件组合MySQL数据库密码是220603,我提供一个excel文档,我可以将这个文档进行导入到我的HTML页面里面的导入按钮,端口号为5008 导入功能:店铺管理(添加,修改,删除店铺的功能),通过输入店铺码和店铺名称来添加,添加完成之后会有一个进行导入店铺数据功能,这个就通过一个选择文件(如excel和csv),我认为在MySQL数据库里面创建表太麻烦了,只想创建一个数据库名字为shop_order,然后根据导入文件的第一行的所有表名字作为关键字创建所对应的MySQL表放在shop——oeder下面(如将Paid Time自动识别为DATETIME类型),切记这个关键字就是导入文档表的第一行,并且下面都是该关键字所对应的所有数据,由于我所做的系统需要导入三个文档,所以要设置三个导入数据的按钮,分别为All order,in come,creater order这三个表所对应了所有订单数据,收入订单数据和达人订单数据(也就是通过达人带货卖出去的订单)。 查询功能:在导入需要的数据之后,我们需要进行数据查询,目前先通过店铺码和店铺名称查询店铺,查询成功后进入店铺,这个时候我们需要再查询店铺的数据,这个时候就需要通过查询我们目前需要的数据,有最开始得到的关键字:Order ID,Paid Time(付款时间),还要给这个数据排列,也就是在这两个查询数据前面还需要建立一个Shop ID作为编号如01,02,03等等,查询后显示的完整数据的是[Shop ID:Order ID,Paid Time],实现上面功能还不够,我希望还可以增加一个时间查询也就是可以输入某个时间段到某个时间段来进行查询这段时间所有订单的数据,列如Start time[年月日]——End timr[年月日],这个时间查询是通过最开始得到的关键字里面的Paid Time所对应的时间数据("10/07/2025 10:24:31 " )来决定,因为不是每个订单号Order ID都会被进行付款(paid_time),我们只需要提前这个付款时间不需要其他时间,所以只需要查询有paid_time的Order ID并且提取出来即可,若没有paid_time数据就直接跳过放弃,继续查询有paid_time的数据订单即可,根据以上要求给出这个项目的开发教程,要求保姆级教程,再说一遍,在里面必须有可以导入excel和csv文档的功能,并且是点击导入数据就可以在我的电脑里面查找选择文档。要注意下面几个问题,第一:日期时间列识别问题:系统错误地将非日期列(如 Order_Status、Quantity)识别为日期列,日期转换失败率高(如 Created_Time 只有33.4%的转换成功率),错误提示:列 XXX 保持原样: 日期格式识别率低 (0.0%)原因是:仅通过列名关键词(如包含"time")判断是否为日期列,缺乏数据内容验证,未排除明确非日期列的字段(如状态、数量、金额等),未处理多种日期格式(如 10/07/2023 10:24:31 和 2023-07-10T15:45:00),一定要增强列识别逻辑,还有多格式日期解析和分阶段验证。 第二:数据类型推断错误:避免数值列(如 Quantity)被误识别为日期,数据库插入时报错:Incorrect datetime value: '579567909575820736' for column 'Order ID',原因是因为类型推断仅基于列名,未结合数据内容,未处理大整数和特殊格式数字。所以要设置一个优先级调整和安全转换。 第三:数据库交互问题,特别是RuntimeError: The session is unavailable because no secret key was set,事务回滚失败导致表残留,数据类型不匹配(如DATETIME和VARCHAR冲突)原因是Flask会话密钥未配置未正确处理MySQL错误代码(如1292=日期格式错误)和表结构创建与数据插入逻辑分离。所以要做到基础配置和事务管理和原子性操作这三个方面。 第四:前端模板渲染问题: 问题表现: jinja2.exceptions.TemplateNotFound jinja2.exceptions.UndefinedError: 'dict object' has no attribute 'id' JavaScript中 const report = {{ date_report|tojson|safe }} 报错 根本原因: 模板文件未放在正确目录(templates/),变量未定义或为None时直接调用方法,未处理JSON序列化中的None值,解决方案:设置目录结构规范和安全变量访问以及默认值处理。 第五: 文件上传与数据处理问题: 问题表现: 上传的Excel/CSV文件解析失败 临时文件未清理 列名含空格导致SQL错误 根本原因: 未验证文件内容格式 未处理文件编码问题(如UTF-8 vs GBK) 未规范化列名(如 Paid Time → Paid_Time) 解决方案:设置文件预处理和资源清理和编码指定。 第六:分页与性能问题: 问题表现: 大数据量查询时内存溢出 分页逻辑错误(LIMIT/OFFSET计算) 解决方案:设置流式查询和分页优化。 最后做一些优化比如:系统架构改进建议 日志监控: python代码: app.logger.addHandler(logging.FileHandler('import_errors.log')) 配置分离: python代码: class DevelopmentConfig(Config): DEBUG = True UPLOAD_FOLDER = '/tmp/uploads' 单元测试: python代码: def test_datetime_detection(): assert is_potential_datetime_column("Paid_Time", pd.Series(["2023-01-01"])) is True 根据上面所有要求和问题还有解决方法制定一个Python电商数据分析系统教程,要求保姆级教程!!!请仔细分析我给出的所有问题并且一一解决生成一个完整教程,要求准确并且代码质量高可以运行
07-15
from flask import Flask, render_template, request, redirect, url_for, flash import pymysql from datetime import datetime app = Flask(__name__) # 配置数据库连接 app.config['MYSQL_HOST'] = 'localhost' app.config['MYSQL_USER'] = 'root' app.config['MYSQL_PASSWORD'] = '1' app.config['MYSQL_DB'] = 'message_board' app.config['MYSQL_CURSORCLASS'] = 'DictCursor' # 配置会话密钥 app.secret_key = 'your_secret_key' # 首页 - 分页显示留言 @app.route('/') @app.route('/page/<int:page>') def index(page=1): # 每页显示的留言数量 per_page = 5 # 计算偏移量 offset = (page - 1) * per_page # 连接数据库 conn = pymysql.connect( host=app.config['MYSQL_HOST'], user=app.config['MYSQL_USER'], password=app.config['MYSQL_PASSWORD'], database=app.config['MYSQL_DB'], cursorclass=pymysql.cursors.DictCursor ) try: # 创建游标 cur = conn.cursor() # 获取总留言数 cur.execute("SELECT COUNT(*) as total FROM messages") total_data = cur.fetchone() total_messages = total_data['total'] # 计算总页数 total_pages = (total_messages + per_page - 1) // per_page # 获取当前页的留言 cur.execute("SELECT * FROM messages ORDER BY created_at DESC LIMIT %s OFFSET %s", (per_page, offset)) messages = cur.fetchall() return render_template('index.html', messages=messages, page=page, total_pages=total_pages) finally: # 关闭游标和连接 cur.close() conn.close() # 添加留言 @app.route('/add', methods=['POST']) def add_message(): if request.method == 'POST': name = request.form['name'] content = request.form['content'] created_at = datetime.now() # 连接数据库 conn = pymysql.connect( host=app.config['MYSQL_HOST'], user=app.config['MYSQL_USER'], password=app.config['MYSQL_PASSWORD'], database=app.config['MYSQL_DB'], cursorclass=pymysql.cursors.DictCursor ) try: # 创建游标 cur = conn.cursor() cur.execute("INSERT INTO messages (name, content, created_at) VALUES (%s, %s, %s)", (name, content, created_at)) conn.commit() flash('留言添加成功!') return redirect(url_for('index')) finally: # 关闭游标和连接 cur.close() conn.close() # 修改留言 - 显示修改表单 @app.route('/edit/<int:id>') def edit_message(id): # 连接数据库 conn = pymysql.connect( host=app.config['MYSQL_HOST'], user=app.config['MYSQL_USER'], password=app.config['MYSQL_PASSWORD'], database=app.config['MYSQL_DB'], cursorclass=pymysql.cursors.DictCursor ) try: # 创建游标 cur = conn.cursor() cur.execute("SELECT * FROM messages WHERE id = %s", (id,)) message = cur.fetchone() return render_template('edit.html', message=message) finally: # 关闭游标和连接 cur.close() conn.close() # 修改留言 - 处理表单提交 @app.route('/update/<int:id>', methods=['POST']) def update_message(id): if request.method == 'POST': name = request.form['name'] content = request.form['content'] updated_at = datetime.now() # 连接数据库 conn = pymysql.connect( host=app.config['MYSQL_HOST'], user=app.config['MYSQL_USER'], password=app.config['MYSQL_PASSWORD'], database=app.config['MYSQL_DB'], cursorclass=pymysql.cursors.DictCursor ) try: # 创建游标 cur = conn.cursor() cur.execute("UPDATE messages SET name = %s, content = %s, updated_at = %s WHERE id = %s", (name, content, updated_at, id)) conn.commit() flash('留言修改成功!') return redirect(url_for('index')) finally: # 关闭游标和连接 cur.close() conn.close() # 删除留言 @app.route('/delete/<int:id>') def delete_message(id): # 连接数据库 conn = pymysql.connect( host=app.config['MYSQL_HOST'], user=app.config['MYSQL_USER'], password=app.config['MYSQL_PASSWORD'], database=app.config['MYSQL_DB'], cursorclass=pymysql.cursors.DictCursor ) try: # 创建游标 cur = conn.cursor() cur.execute("DELETE FROM messages WHERE id = %s", (id,)) conn.commit() flash('留言删除成功!') return redirect(url_for('index')) finally: # 关闭游标和连接 cur.close() conn.close() if __name__ == '__main__': app.run(debug=True, use_reloader=False) 这个代码运行报错,帮我修改它
05-10
<think>我们正在处理用户的问题:在使用ThinkPHP框架时遇到错误提示'method not exist:think\db\Query->department'。用户之前的问题是关于SQL查询中的列歧义问题,但现在的问题转向了ThinkPHP框架中的方法不存在错误。根据用户提供的引用[1],用户可能在使用关联预载入(with)时遇到了问题,但错误信息指向了`department`方法不存在。 错误分析: 错误信息:`method not exist:think\db\Query->department` 这个错误通常发生在尝试调用一个模型上不存在的方法时。在ThinkPHP中,当我们使用模型进行关联查询时,需要定义好关联关系。如果我们在模型中没有定义`department`方法(或者关联关系定义不正确),那么当我们尝试调用`department`时就会报错。 可能的原因: 1. 在模型中未定义`department`关联方法。 2. 关联方法定义存在错误(例如,方法名拼写错误,或者返回值类型不正确)。 3. 在控制器中调用了未定义的关联方法(例如,错误地使用了`department`而不是正确的关联方法名)。 解决方案: 1. 检查模型中的关联方法定义: 在User模型中(假设是User模型调用`department`),应该有一个名为`department`的方法,并且该方法返回一个关联关系。例如: ```php // User模型 public function department() { // 假设一个用户属于一个部门,使用belongsTo关联 return $this->belongsTo('Department', 'department_id'); } ``` 注意:方法名`department`必须与调用时的方法名一致。 2. 检查调用方式: 在控制器中,我们可能会这样使用关联: ```php // 预载入关联查询 $users = User::with('department')->select([1,2,3]); ``` 或者获取关联数据: ```php $user = User::get(1); // 获取关联的部门数据 $department = $user->department; ``` 如果关联方法名定义的是`dept`,那么调用时就应该使用`dept`,而不是`department`。因此,请确保调用时的方法名与模型中的方法名一致。 3. 检查关联模型是否存在: 确保`Department`模型存在,并且命名空间正确。 4. 清除缓存: 有时候框架的缓存可能导致新添加的方法没有被识别,可以尝试清除编译缓存(`runtime`目录下的缓存文件)。 5. 检查方法名冲突: 确保在模型中不存在与关联方法同名的其他方法(例如,一个普通的模型方法也叫`department`),这可能会导致冲突。 示例代码: 假设我们有两个表:`user`(用户表)和`department`(部门表),用户表有一个外键`department_id`关联到部门表。 在User模型中定义关联: ```php namespace app\model; use think\Model; class User extends Model { // 定义与部门的关联 public function department() { // 参数:关联模型名,外键,主键 return $this->belongsTo('Department', 'department_id', 'id'); } } ``` 在控制器中调用: ```php // 获取用户及其关联的部门信息(预载入) $users = User::with('department')->select([1,2,3]); foreach ($users as $user) { // 访问关联的部门信息 echo $user->department->name; } ``` 如果按照以上步骤检查后仍然存在问题,需要进一步检查: - 模型文件是否正确定义并放置在了正确的目录下(例如`app/model`)? - 是否在控制器中正确引入了模型(例如`use app\model\User;`)? 总结:该错误的核心是模型关联方法未定义或调用方法名与定义的方法名不一致。通过正确定义关联方法并确保调用一致,即可解决。 相关问题: 1. ThinkPHP中如何定义一对一关联? 2. ThinkPHP预载入查询(with)的使用方法? 3. 如何解决ThinkPHP模型方法不存在的问题?</think>### ThinkPHP 错误分析:`method not exist:think\db\Query->department` 在 ThinkPHP 框架中遇到 `method not exist:think\db\Query->department` 错误,通常是由模型关联配置问题引起的。以下是具体原因和解决方案: --- #### 错误原因分析 1. **未定义关联方法** 在模型中未正确定义 `department()` 关联方法,但代码中尝试调用 `$user->department` 或 `with('department')`。 2. **方法命名冲突** 模型中存在与关联方法同名的自定义方法(如普通查询方法 `department()`),导致框架误识别。 3. **关联方法返回值错误** `department()` 方法未返回关联对象(如缺少 `return $this->belongsTo(...)`)。 4. **模型文件路径错误** 关联模型 `Department` 文件未按规范放置(如未在 `app/model` 目录下)。 --- #### 解决方案 ##### 步骤 1:正确定义关联方法 在 **User 模型** 中添加关联方法(一对一关联示例): ```php // app/model/User.php namespace app\model; use think\Model; class User extends Model { // 定义与Department模型的关联 public function department() { // 关键:必须返回关联对象 return $this->belongsTo(Department::class, 'department_id'); // 参数说明:关联模型类名, 外键字段名 } } ``` ##### 步骤 2:检查关联调用方式 正确使用预载入查询(避免循环查询): ```php // 控制器中正确调用 $users = User::with('department')->select([1, 2, 3]); foreach ($users as $user) { // 直接访问关联数据(无N+1问题) echo $user->department->name; } ``` ##### 步骤 3:排查命名冲突 检查模型中是否定义了同名方法: ```php // 错误示例:普通方法与关联方法同名 class User extends Model { // 自定义方法(与关联方法命名冲突) public function department() { return $this->where('status', 1)->find(); } } ``` **修复方案**:重命名自定义方法(如改为 `getDepartment()`)。 ##### 步骤 4:验证模型路径 确保关联模型文件存在且路径正确: ``` app/ ├─ model/ ├─ User.php ├─ Department.php <-- 必须存在 ``` --- #### 完整示例 **模型定义**: ```php // app/model/Department.php namespace app\model; use think\Model; class Department extends Model {} ``` **控制器调用**: ```php // app/controller/UserController.php public function index() { // 预载入查询(避免N+1问题) $users = User::with('department') ->where('status', 1) ->select(); return json($users); } ``` --- #### 预防建议 1. **关联方法规范** 所有关联方法必须以**返回关联对象**结尾(如 `belongsTo`, `hasMany`)。 2. **命名避免冲突** 关联方法名不要与模型属性/方法同名(如避免使用 `getDepartment` 作为关联名)。 3. **清除缓存** 修改模型后运行命令清除缓存: ```bash php think optimize:clear ``` 4. **调试工具** 使用官方调试工具检查关联: ```php // 查看关联是否生效 dump(User::find(1)->department); ``` 通过以上步骤,可解决 `method not exist` 错误并优化关联查询性能[^1]。
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