code stringlengths 1 1.05M | repo_name stringlengths 6 83 | path stringlengths 3 242 | language stringclasses 222 values | license stringclasses 20 values | size int64 1 1.05M |
|---|---|---|---|---|---|
{
"cells": [
{
"cell_type": "code",
"execution_count": 49,
"id": "e8e11fdb",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"from sklearn.model_selection import train_test_split, GridSearchCV\n",
"from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"from xgboost import XGBClassifier\n",
"from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score, confusion_matrix, roc_curve\n",
"from sklearn.compose import ColumnTransformer\n",
"from imblearn.pipeline import Pipeline\n",
"from imblearn.over_sampling import SMOTE # 用于处理类别不平衡"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "4b726dbd",
"metadata": {},
"outputs": [],
"source": [
"# 1. 数据加载与初步探索\n",
"data = pd.read_csv('d:\\OneDrive\\桌面\\churn_train.csv') # 数据文件名"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "76d2ba62",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" RowNumber CustomerId Surname CreditScore Geography Gender Age \\\n",
"0 9255 15601116 P'an 686 France Male 32 \n",
"1 1562 15766374 Leak 632 Germany Male 42 \n",
"2 1671 15716994 Green 559 Spain Male 24 \n",
"3 6088 15730759 Chukwudi 561 France Female 27 \n",
"4 6670 15797900 Chinomso 517 France Male 56 \n",
"\n",
" Tenure Balance NumOfProducts HasCrCard IsActiveMember \\\n",
"0 6 0.00 2 1 1 \n",
"1 4 119624.60 2 1 1 \n",
"2 3 114739.92 1 1 0 \n",
"3 9 135637.00 1 1 0 \n",
"4 9 142147.32 1 0 0 \n",
"\n",
" EstimatedSalary Exited \n",
"0 179093.26 0 \n",
"1 195978.86 0 \n",
"2 85891.02 1 \n",
"3 153080.40 1 \n",
"4 39488.04 1 \n"
]
}
],
"source": [
"# 查看数据前5行\n",
"print(data.head())"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "1823316b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 8000 entries, 0 to 7999\n",
"Data columns (total 14 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 RowNumber 8000 non-null int64 \n",
" 1 CustomerId 8000 non-null int64 \n",
" 2 Surname 8000 non-null object \n",
" 3 CreditScore 8000 non-null int64 \n",
" 4 Geography 8000 non-null object \n",
" 5 Gender 8000 non-null object \n",
" 6 Age 8000 non-null int64 \n",
" 7 Tenure 8000 non-null int64 \n",
" 8 Balance 8000 non-null float64\n",
" 9 NumOfProducts 8000 non-null int64 \n",
" 10 HasCrCard 8000 non-null int64 \n",
" 11 IsActiveMember 8000 non-null int64 \n",
" 12 EstimatedSalary 8000 non-null float64\n",
" 13 Exited 8000 non-null int64 \n",
"dtypes: float64(2), int64(9), object(3)\n",
"memory usage: 875.1+ KB\n",
"None\n"
]
}
],
"source": [
"# 查看数据基本信息\n",
"print(data.info())\n"
]
},
{
"cell_type": "code",
"execution_count": 53,
"id": "4cb38be6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Exited\n",
"0 6356\n",
"1 1644\n",
"Name: count, dtype: int64\n"
]
}
],
"source": [
"# 查看目标变量分布（检查类别不平衡）\n",
"print(data['Exited'].value_counts())"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "bb0ced89",
"metadata": {},
"outputs": [],
"source": [
"# 2. 数据预处理\n",
"# 删除无关特征\n",
"data = data.drop(['RowNumber', 'CustomerId', 'Surname'], axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "5109ab8d",
"metadata": {},
"outputs": [],
"source": [
"# 处理缺失值（如果有）\n",
"if data.isnull().sum().sum() > 0:\n",
" data = data.dropna() # 或使用填充策略 data.fillna(...)"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "f7706ded",
"metadata": {},
"outputs": [],
"source": [
"# 定义数值和分类特征\n",
"numeric_features = ['CreditScore', 'Age', 'Tenure', 'Balance', 'NumOfProducts', 'EstimatedSalary']\n",
"categorical_features = ['Geography', 'Gender', 'HasCrCard', 'IsActiveMember']"
]
},
{
"cell_type": "code",
"execution_count": 57,
"id": "166979c5",
"metadata": {},
"outputs": [],
"source": [
"# 创建预处理管道\n",
"preprocessor = ColumnTransformer(\n",
" transformers=[\n",
" ('num', StandardScaler(), numeric_features),\n",
" ('cat', OneHotEncoder(), categorical_features)\n",
" ])"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "0f57ff1c",
"metadata": {},
"outputs": [],
"source": [
"# 分割特征和目标变量\n",
"X = data.drop('Exited', axis=1)\n",
"y = data['Exited']"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "683cadee",
"metadata": {},
"outputs": [],
"source": [
"# 分割训练集和测试集\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "9249414c",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 600x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 3. 探索性数据分析(EDA)\n",
"# 绘制目标变量分布\n",
"plt.figure(figsize=(6, 4))\n",
"sns.countplot(x='Exited', data=data)\n",
"plt.title('Distribution of Churned vs Retained Customers')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "10032917",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x800 with 6 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 数值特征分布\n",
"plt.figure(figsize=(12, 8))\n",
"for i, col in enumerate(numeric_features):\n",
" plt.subplot(2, 3, i+1)\n",
" sns.histplot(data[col], kde=True)\n",
" plt.title(col)\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "25ab0255",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1200x800 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 分类特征与流失率的关系\n",
"plt.figure(figsize=(12, 8))\n",
"for i, col in enumerate(categorical_features):\n",
" plt.subplot(2, 2, i+1)\n",
" sns.barplot(x=col, y='Exited', data=data)\n",
" plt.title(f'Churn Rate by {col}')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "4a8b5fa4",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 特征相关性热力图\n",
"# 选择数值列\n",
"numeric_data = data.select_dtypes(include=['int64', 'float64'])\n",
"\n",
"# 计算相关性并绘制热力图\n",
"plt.figure(figsize=(10, 8))\n",
"corr = numeric_data.corr()\n",
"sns.heatmap(corr, annot=True, cmap='coolwarm', center=0)\n",
"plt.title('Feature Correlation Heatmap (Numerical Features Only)')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "dbdffa68",
"metadata": {},
"outputs": [],
"source": [
"# 4. 模型训练与评估\n",
"# 定义评估函数\n",
"def evaluate_model(model, X_test, y_test):\n",
" y_pred = model.predict(X_test)\n",
" y_prob = model.predict_proba(X_test)[:, 1]\n",
"\n",
" print(f\"Accuracy: {accuracy_score(y_test, y_pred):.4f}\")\n",
" print(f\"Precision: {precision_score(y_test, y_pred):.4f}\")\n",
" print(f\"Recall: {recall_score(y_test, y_pred):.4f}\")\n",
" print(f\"F1 Score: {f1_score(y_test, y_pred):.4f}\")\n",
" print(f\"ROC AUC: {roc_auc_score(y_test, y_prob):.4f}\")\n",
"\n",
" # 混淆矩阵\n",
" cm = confusion_matrix(y_test, y_pred)\n",
" sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n",
" plt.title('Confusion Matrix')\n",
" plt.xlabel('Predicted')\n",
" plt.ylabel('Actual')\n",
" plt.show()\n",
"\n",
" # ROC曲线\n",
" fpr, tpr, _ = roc_curve(y_test, y_prob)\n",
" plt.plot(fpr, tpr)\n",
" plt.plot([0, 1], [0, 1], 'k--')\n",
" plt.xlabel('False Positive Rate')\n",
" plt.ylabel('True Positive Rate')\n",
" plt.title('ROC Curve')\n",
" plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "d4707755",
"metadata": {},
"outputs": [],
"source": [
"# 定义特征类型\n",
"numeric_features = ['CreditScore', 'Age', 'Tenure', 'Balance', 'NumOfProducts', 'EstimatedSalary']\n",
"categorical_features = ['Geography', 'Gender', 'HasCrCard', 'IsActiveMember'] # 根据实际数据调整\n",
"\n",
"# 创建预处理转换器（数值列标准化，分类列独热编码）\n",
"preprocessor = ColumnTransformer(\n",
" transformers=[\n",
" ('num', StandardScaler(), numeric_features),\n",
" ('cat', OneHotEncoder(handle_unknown='ignore'), categorical_features)\n",
" ])\n",
"\n",
"# 对训练集预处理后再应用SMOTE\n",
"X_train_processed = preprocessor.fit_transform(X_train)\n",
"smote = SMOTE(random_state=42)\n",
"X_train_res, y_train_res = smote.fit_resample(X_train_processed, y_train)\n",
"\n",
"# 测试集预处理（不应用SMOTE）\n",
"X_test_processed = preprocessor.transform(X_test)"
]
},
{
"cell_type": "code",
"execution_count": 66,
"id": "5b3ae2c5",
"metadata": {},
"outputs": [],
"source": [
"# 创建模型管道\n",
"preprocessor = ColumnTransformer(\n",
" transformers=[\n",
" ('num', StandardScaler(), numeric_features),\n",
" ('cat', OneHotEncoder(handle_unknown='ignore'), categorical_features)\n",
" ])\n",
"\n",
"models = {\n",
" 'Logistic Regression':\n",
" Pipeline([('preprocessor', preprocessor),\n",
" ('classifier', LogisticRegression(random_state=42))]),\n",
" 'Random Forest':\n",
" Pipeline([('preprocessor', preprocessor),\n",
" ('classifier', RandomForestClassifier(random_state=42))]),\n",
" 'XGBoost':\n",
" Pipeline([('preprocessor', preprocessor),\n",
" ('classifier',\n",
" XGBClassifier(random_state=42, eval_metric='logloss'))])\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7e1eaa61",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"=== Logistic Regression ===\n",
"Accuracy: 0.8075\n",
"Precision: 0.5854\n",
"Recall: 0.2188\n",
"F1 Score: 0.3186\n",
"ROC AUC: 0.7673\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"=== Random Forest ===\n",
"Accuracy: 0.8600\n",
"Precision: 0.7749\n",
"Recall: 0.4498\n",
"F1 Score: 0.5692\n",
"ROC AUC: 0.8503\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"=== XGBoost ===\n",
"Accuracy: 0.8481\n",
"Precision: 0.6886\n",
"Recall: 0.4772\n",
"F1 Score: 0.5637\n",
"ROC AUC: 0.8451\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#4.4 训练和评估\n",
"for name, model in models.items():\n",
" print(f\"\\n=== {name} ===\")\n",
" model.fit(X_train, y_train) # 输入原始数据\n",
" evaluate_model(model, X_test, y_test) # Pipeline会自动预处理测试数据"
]
},
{
"cell_type": "code",
"execution_count": 68,
"id": "b2fc38a9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best parameters: {'classifier__learning_rate': 0.2, 'classifier__max_depth': 3, 'classifier__n_estimators': 100}\n",
"Best ROC AUC: 0.8547\n"
]
}
],
"source": [
"# 5. 模型优化（以XGBoost为例）\n",
"# 定义完整的 Pipeline（包含预处理、SMOTE、模型）\n",
"xgb_pipe = Pipeline([\n",
" ('preprocessor', preprocessor),\n",
" ('smote', SMOTE(random_state=42)), # SMOTE 在 Pipeline 内部\n",
" ('classifier', XGBClassifier(random_state=42, eval_metric='logloss'))\n",
"])\n",
"\n",
"# 参数网格\n",
"param_grid = {\n",
" 'classifier__n_estimators': [100, 200],\n",
" 'classifier__max_depth': [3, 5, 7],\n",
" 'classifier__learning_rate': [0.01, 0.1, 0.2]\n",
"}\n",
"\n",
"# 网格搜索\n",
"grid_search = GridSearchCV(\n",
" xgb_pipe, \n",
" param_grid, \n",
" cv=5, \n",
" scoring='roc_auc', \n",
" n_jobs=-1\n",
")\n",
"\n",
"# 直接传入原始数据（未处理的 X_train）\n",
"grid_search.fit(X_train, y_train) # 不是 X_train_res\n",
"\n",
"print(f\"Best parameters: {grid_search.best_params_}\")\n",
"print(f\"Best ROC AUC: {grid_search.best_score_:.4f}\")"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "80ebb2b3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy: 0.8494\n",
"Precision: 0.6486\n",
"Recall: 0.5836\n",
"F1 Score: 0.6144\n",
"ROC AUC: 0.8738\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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h/t91GPeeJ+V43zZV3VjYUL5XsGBBAMCIESMwf/58g73DP4sbIqJ3OBgRg6WHbyFD9aaYuRGdmO12G/rWeu/gXXO5DJXcjfvGd2S4kpKSYGtrC+DN/eZ8fX1Rv359iVN9HBY3RGTy9l+Nxqpjd6H6z6SQVx8nZLv9vM5V4FXozZeBl7MtXBys9J6RSNeUSiXGjh2LAwcO4Ny5c7Czs4NMJjP4wgZgcUNEJigpLQNjd1zGk/gUAMDFqFfv3f7LpqXhW7IQAMDdyRolnG31HZFIr+7duwd/f3+cP//mSr7ffvsNPXr0kDiV7rC4ISKTs/rYXey58jRL+5fNyqBGMadMbYXtLXlKiYzKzz//jP79+yMhIQEFChTAxo0b0a5dO6lj6RSLGyIyWuci47D8zztIV2U+3fTX3Rea5bV9agIAXBwsUaWoo0nP9EzGLTU1FWPGjMGKFSsAAHXr1sX27dtRrFgxiZPpHosbIjIqQgjM3XcDN6ITcezW8/duO69zFTSv6JJHyYik9c0332gKm3HjxuHbb7+FhYVx3sWaxQ0RGZXjt2Pxw/F7mdraVXOHX4UimdoK2ChQr7RzXkYjktSkSZNw9OhRzJ8/H61atZI6jl6xuCEig7Hm+N0PDv7ddzVas7ywazUUslOgQZnCMNNiJmwiY5CSkoJffvkFPXv2BAC4urri0qVLkMuNfyoPFjdEpBNqtcDiQ7cQ+SL5wxvnwsskJU7eic3x9t1qeqDz/6Y6IDI1N27cQLdu3XDlyhWYm5trpk8whcIGYHFDRDqQrlLj803nceTm+8e46Mq3HSu/93lbhRlaVnLNkyxE+c2mTZswZMgQJCcno0iRIpq7DpsSFjdE9NGm7b6WqbCZ2lZ/swd/UrIQKro76O31iQxVUlISRowYgQ0bNgAAmjZtii1btsDNzU3iZHmPxQ0Rae3UnVjsu/rPfWK2/h2lWT78dSOUKmwnRSwik3Xt2jV069YNERERkMvlCAwMxKRJk2BmZprzmbG4IaIcuRWTiNBzD5GhFgj6KzLbbfZ8WZ+FDZEE7t69i4iICLi5uWHbtm1o3Lix1JEkxeKGiLKlUgtsOh2JJ6/eTFGw9sT9LNt0ruEBz4LWAIBqnk68ky9RHhJCaG462b59e6xbtw7t2rVDkSJFPrCn8WNxQ0QAgItRL3EwIkazfi4yDuciX2bZrqKbA5qWL4IyLnbo4F00LyMS0f9cunQJQ4cORXBwMDw9PQEAAwYMkDhV/sHihsiEpWWoEHLuIWJfK7Hs8O13bvdFw5IA3syz1KeOFxTmpnE5KVF+I4TAmjVrMHLkSKSlpeHrr79GaGio1LHyHRY3RCbsz+vPMPXXa5nampUvguKF3sx6bSYHOngXReWiPN1EJLWEhAR8/vnnCAkJAQC0adMGK1eulDhV/sTihsiEHbj25m6+RZ2sNaea+tTxkjYUEWURFhYGf39/3LlzB+bm5pgzZw5Gjx5tMjfl0xaLGyITcPruC0Q8TcjUlpSWgV3hTwAA3p5OH7wxHhFJ48iRI2jVqhWUSiWKFSuGkJAQfPLJJ1LHytdY3BAZIbVa4OD1GMQkpOJVcjoWHbz13u2HNy2dR8mISFuffPIJypUrh5IlS2L9+vUmecdhbbG4ITIiFx7E4VbMa5y7H4edFx9neb6Dt3uWtibliqCCG+/4S5SfXLt2DeXLl4eZmRmsra1x5MgRFCxYUHPpN70fixsiA3btSTwinrw53fQiSYm5+25k2aZ1lTdzLLWo6IqO1XnpNlF+JoTAkiVLMG7cOEydOhWTJ08GABQqVEjiZIaFxQ2RAbryKB7nIuMw4/eIbJ9vXtEF5nIZ+tTxQp1S/KVIZAji4uLQt29f/PbbbwCAq1evZrpRH+UcixsiAyCEwNn7cYh9rURMQmqWoqZJucKa5bZV3dHZxyOvIxLRR/jrr7/QvXt3PHz4EAqFAosXL8aQIUNY2OQSixsiA3D8diwC1p/N0t64XGEMaVQKviXZO0NkiNRqNRYsWICJEydCpVKhdOnSCA0NRfXq1aWOZtBY3BDlYwmp6bjw4CVO3IoFADhaW6C8qz1kMqBTDQ90q+kpcUIi+hh3797F1KlToVKp0KNHD/zwww+wt7eXOpbBY3FDlA/FJSlx7Uk8ev+YubemllcBrAuoJVEqItK1MmXKYPny5RBCYODAgTwNpSMsbojymQyVGjW+PZil3ad4AfTm3YOJDJparcbcuXPh5+eH2rVrAwAGDhwocSrjw+KGKB/JUKnR9YfTmvXC9paoWbwAlnavzskqiQxcTEwMevfujYMHD2Lt2rW4evUqbG1tpY5llFjcEElMCIE7z14jJV2Fb366jJsxiQAAhbkcZyc2Yzc1kRH4888/0atXL0RHR8Pa2hqBgYEsbPSIxQ2RxNaduI9Ze69naT/2TWMWNkQGTqVS4dtvv8WMGTMghEClSpUQGhqKihUrSh3NqLG4IZLY254aeytzOFhZwMXBEusCaqGgrULiZET0MRISEtChQwccPXoUANC/f398//33sLGxkTaYCWBxQ5RHXiUr8So5PUv7jguPAACDGpTEl83K5HUsItITOzs72NrawtbWFqtXr8Znn30mdSSTweKGKA/ciE5AqyUn3rtNWRfe24LI0GVkZCA9PR3W1taQy+XYuHEjYmNjUa5cOamjmRQWN0R5YMquq5ple8usP3ZVPBzRvKJLXkYiIh179OgRevbsiRIlSmDjxo0A3kx4yUkv8x6LGyI9SlepEZ+SjnORLwEAtb0KInRwHYlTEZGu7d27F3369MGLFy8QHh6O6dOnw8vLS+pYJovFDZGOvE7LgBBCs56sVMFv0TEkpmZo2qa1ryRFNCLSk/T0dEyaNAnz588HANSoUQMhISEsbCTG4oYoF9RqAaVKrVmf+MsV7Ax7/N59GpRxRgU3jqshMhZRUVHo3r07Tp9+c+PNESNGYP78+bC0tJQ4GbG4IdJShkqNNstOai7h/pAuPh74rnNVyOW8Zw2RsVCr1WjVqhWuX78OR0dHrF+/Hp06dZI6Fv0PixsiLe27Gp1tYVPQVoH9XzWAo7VFpnZLc7O8ikZEeUQul2Pp0qWYOnUqtm3bhhIlSkgdif5FJv49SMAEJCQkwNHREfHx8XBwcJA6DhmIHRceYdIvV6BUqfHvn5ir01tqlq3M5TA34/xPRMbq3r17uHv3Lpo3b65pU6vVkMv5c58XtPn+Zs8N0XusOnoXyw7fRkq6KstzczpVgV02l3UTkfH5+eef0b9/fwBAWFgYSpUqBQAsbPIp/mYmykaKUoWuP/yFq48TMrWv6lUDNb0KQmEuz3L6iYiMT2pqKsaMGYMVK1YAAOrUqQMLC/7s53csbojw5uqnfkHnEP7wFQAgPiXzNAnBn3+Ciu4OcLDiLzUiU3H79m34+/vj4sWLAICxY8di5syZLG4MAIsbIgDRCak4dut5lvZyLvbYMaQO7FnUEJmU4OBgfP7550hMTEShQoWwadMmtG7dWupYlEMsbsjkZajUCFh/FgBgLpdh/1cNAQAyGeBVyBZmvISbyOT8/fffSExMRIMGDbBt2zZ4eHhIHYm0wOKGTN7YHZdx+9lrAEDpInYoXcRO4kREJAUhBGSyN3/MzJs3D6VLl8YXX3wBc3N+VRoaDvMmk5aarsLOi//cWXjXsHoSpiEiqWzZsgVt2rRBRsab6VIUCgWGDRvGwsZAsbghk7bxr0jN8slxTWBlwRvuEZmSpKQk9O/fH71798a+ffuwYcMGqSORDrAkJZOz+9IT/HjiHlRCZLrU26OAjYSpiCivXbt2Dd26dUNERARkMhkCAwM197IhwyZ5z82KFSvg5eUFKysr+Pr64uzZs+/dfsmSJShXrhysra3h6emJUaNGITU1NY/SkjHYcOo+Lj2Kz1TYfNuxsoSJiCgvCSGwYcMG1KpVCxEREXB1dcXhw4cRGBgIMzP23hoDSXtuQkJCMHr0aKxevRq+vr5YsmQJWrZsiZs3b6JIkSJZtt+2bRvGjx+P9evXo27durh16xb69u0LmUyGRYsWSfAJyBCp1W/mT/jKrwy8PZ3gYG2B6p5O0oYiojwzffp0TJ8+HQDQvHlzbNmyJdvvHDJckvbcLFq0CIMGDUK/fv1QsWJFrF69GjY2Nli/fn222//111+oV68eevbsCS8vL7Ro0QI9evT4YG8P0Vu/XXqCS4/iAQBVijqicbkiqFGsgOYKCSIyfv7+/nBwcMCsWbOwf/9+FjZGSLKeG6VSiQsXLmDChAmaNrlcDj8/P5w+fTrbferWrYstW7bg7NmzqF27Nu7du4e9e/eid+/e73yftLQ0pKWladYTEhLeuS0Zp9dpGZjx2zXEJKRlulGfi4OVhKmIKK8IIXDp0iV4e3sDACpUqID79++jYMGC0gYjvZGsuImNjYVKpYKLi0umdhcXF9y4cSPbfXr27InY2FjUr18fQghkZGRg8ODBmDhx4jvfZ86cOZruRzItMQmpmLf/BnaGPc7y3IKu1VDJnbPCExm7hIQEfPHFFwgNDcXRo0fRoEEDAGBhY+QkH1CsjaNHj2L27NlYuXIlwsLCsHPnTuzZswfffvvtO/eZMGEC4uPjNY+HDx/mYWKS0rifL2cpbBZ2rYYdg+ugi48HT0URGbmLFy/Cx8cHwcHBkMlkuH79utSRKI9I1nPj7OwMMzMzxMTEZGqPiYmBq6trtvtMmTIFvXv3xsCBAwEAVapUQVJSEj7//HNMmjQp26nnLS0tYWlpqfsPQPna4esxOHrzn1NQ87tURdPyRVDIjv8WiIydEAIrV67E6NGjoVQqUaxYMQQHB6NOnTpSR6M8IlnPjUKhgI+PDw4fPqxpU6vVOHz48Dv/ASYnJ2cpYN5etieE0F9YMihqtcCAjec168Gff4KuNT1Z2BCZgFevXqFr164YPnw4lEol2rdvj4sXL7KwMTGSXgo+evRoBAQEoGbNmqhduzaWLFmCpKQk9OvXDwDQp08fFC1aFHPmzAEAtGvXDosWLUL16tXh6+uLO3fuYMqUKWjXrh3vTUAa+65Ga5antK0I3xI8t05kKnbt2oWff/4ZFhYW+O677zBy5EiegjZBkhY3/v7+eP78OaZOnYro6Gh4e3tj//79mkHGUVFRmXpqJk+eDJlMhsmTJ+Px48coXLgw2rVrh1mzZkn1ESgfOnz9n1OdA+qXkDAJEeW1gIAAXL58GT169ECtWrWkjkMSkQkTO5+TkJAAR0dHxMfHw8GBV8sYo0bzj+DBi2R08HbH0u7VpY5DRHoUFxeHyZMnY86cOXB0dJQ6DumRNt/fnFuKjEJSWgaC/orEq2QlHrxIBgCUcLaVOBUR6dPp06fRvXt3REVFIT4+Hlu3bpU6EuUTLG7IKOy5/BTzD9zM1Na+mrtEaYhIn9RqNRYuXIiJEyciIyMDpUqVwtdffy11LMpHWNyQUbj8+BUAoFRhW/hVcEFFdweULGwnbSgi0rnY2FgEBARg7969AN6M3VyzZg2HGVAmLG7IKLydVqF4IVtMaF1B4jREpA/h4eFo27YtHj9+DEtLSyxbtgyDBg3i1VCUBYsbMmgJqen49eJjZKjejIuvX9pZ4kREpC8eHh4AgHLlyiE0NBRVq1aVOBHlVyxuyGAJIdBjzRlce/LPZKjlXO0lTEREupaQkKA55eTs7IwDBw6gePHisLPjaWd6N4OaW4ro307ffZGpsBnRtDRq84Z9REbjyJEjKFeuHDZu3Khpq1SpEgsb+iAWN2SwNp6O1CyfntAUX7coBwsz/pMmMnQqlQrTp0+Hn58foqOjsWLFCqjVaqljkQHhNwEZLDtLCwBAgzLOcHO0ljgNEenC06dP0aJFC0ybNg1qtRr9+vXDkSNHsp0YmehdOOaGDJIQAmfuvQAA1OMgYiKjcPDgQXz22Wd49uwZbG1tsWrVKvTu3VvqWGSAWNyQQTp+OxaPX6UAAMzlvAyUyNDdu3cPn376KVQqFapUqYLQ0FCUL19e6lhkoFjckMGJjE1CwPqzmvU2Vd0kTENEulCyZEmMGzcOL168wOLFi2FtzVPNlHssbsigRDxJQOtlJzTrbau6cbwNkYHat28fypUrh5IlSwIAZs6cyRvykU6wuKF8KzVdhbAHL6H638T1cUlKjAwO1zzfvKILAttVkigdEeVWeno6Jk2ahPnz56NWrVo4efIkFAoFCxvSGRY3lG/1+fEszkbGZfvc2FblMLRx6TxOREQfKyoqCt27d8fp06cBALVr14b43x8wRLrC4obyjfuxSYhLSgMAJKZmZCpsyv/rzsNdfDwwsEHJPM9HRB9n9+7d6Nu3L16+fAlHR0f8+OOP6Ny5s9SxyAixuCHJZajU2HAqErP2Xs/2+cvTWsDByiKPUxGRriiVSowfPx6LFy8GANSqVQvBwcGasTZEusbihiR1PzYJA4LO4V5skqateCEbzXIH76IsbIgMnBACx48fBwB89dVXmDdvHhQKhcSpyJixuCFJxL5Ow5JDt7DlTFSm9tWf1UCryry0m8gYCCEgk8lgaWmJ0NBQXLlyBR06dJA6FpkAFjeUJ1RqgYdxyQCAy4/j8eX2i5mer17MCZv614Y9e2mIDF5aWhrGjBkDJycnfPvttwDe3MeGp6Eor7C4Ib1TqQVaLjmOO89eZ3muWEEbfN+jOqp5OuV9MCLSuTt37sDf3x9hYWGQy+UICAhA6dK8spHyFosb0iuVWqDpwqN48CJZ02ZvaQ5zMxnGf1oe/rWKSZiOiHQpNDQUAwcORGJiIgoVKoSNGzeysCFJsLghnVNmqPE6LQNqIdDu+5N4Gp8KAChsb4lT45pCYc7ZfYmMSUpKCkaNGoUffvgBAFC/fn1s374dHh4eEicjU8XihnTqZZISDecfQWJqRqb2Cm4O+H1EfZhxkksioyKEgJ+fH/766y/IZDJMmDAB06dPh7k5v15IOvzXRzq19PDtLIVNvdKFsGWAL2+tTmSEZDIZBg0ahNu3b2PLli1o0aKF1JGIIBMmdt/rhIQEODo6Ij4+Hg4ODlLHMSrBZ6MwfucVAICNwgxXp7UEAMhkYGFDZESSk5Px4MEDVKhQQdP28uVLFChQQMJUZOy0+f7m4AfSmVN3X2iW1/SuCblcBrlcxsKGyIhERESgdu3aaNGiBV68+OdnnoUN5Scsbkhnfrv0BAAw/tPyqF/GWeI0RKRrQUFBqFmzJq5du4aMjAxERkZKHYkoWxxzQx9l4R83sfbEPajV/7SVKmwnXSAi0rnXr19j2LBh2LRpEwDAz88PW7ZsgYuLi8TJiLLHnhv6KHuuPEVquhpK1ZvqxtXBCk3KFZY4FRHpypUrV1CrVi1s2rQJcrkcM2fOxIEDB1jYUL7GnhvKtdN3X+De8zcTXq7sVQPenk4obG8JczPWzETGYt68ebhx4wbc3d2xfft2NGzYUOpIRB/E4oa0Njo0HMdvxSL2dZqmrWbxAijiYCVhKiLShxUrVsDa2hqzZ89G4cLslSXDwOKGPig1XYW+G87iwYtkpKar8DI5PdPz09tXYmFDZCQuXryIbdu24bvvvoNMJoOjoyPWrl0rdSwirXxUcZOamgorK36pGbsNpyJx5l5clvY9X9aHg5UFPAvaSJCKiHRJCIFVq1Zh1KhRUCqVqFixIvr16yd1LKJc0bq4UavVmDVrFlavXo2YmBjcunULJUuWxJQpU+Dl5YUBAwboIydJYP/VaCw+eAs3YxI1bb8Nrw8AKFHYFnaW7PgjMgbx8fEYOHAgduzYAQBo164dOnToIHEqotzTeuTnzJkzERQUhO+++w4KhULTXrlyZaxbt06n4Ug6j14mY/CWC5kKm3mdq6CKhyOqeDiysCEyEufOnUP16tWxY8cOWFhYYNGiRfj1119RsGBBqaMR5ZrW31CbNm3CmjVr0KxZMwwePFjTXq1aNdy4cUOn4UgaoecfYuyOy5r10c3LonlFF5R3tZcwFRHp2vr16zF48GCkp6fDy8sLISEhqF27ttSxiD6a1sXN48ePUbp06SztarUa6enp2exBhmTzmQeYsuuqZr1xucL4slkZCRMRkb6ULl0aKpUKnTp1wo8//ggnJyepIxHphNbFTcWKFXHixAkUL148U/uOHTtQvXp1nQWjvPfjyfv49vcIzfq8zlXQqYaHhImISNdevXqlKWIaNmyIv//+Gz4+PpwDjoyK1sXN1KlTERAQgMePH0OtVmPnzp24efMmNm3ahN9//10fGSmPLPzjpmZ560Bf1CvN+aGIjIVarcaiRYswa9YsnD59GuXLlwcA1KxZU+JkRLqn9YDiDh064LfffsOhQ4dga2uLqVOn4vr16/jtt9/QvHlzfWSkPJKhFgCADf1qsbAhMiKxsbFo3749vvnmG7x69QqbN2+WOhKRXuXqkpcGDRrg4MGDus5CEkpWZkCZ8WZ+qHIuHDhMZCxOnjyJHj164NGjR7C0tMTSpUvx+eefSx2LSK+07rkpWbIkXrx4kaX91atXKFmypE5CUd77684//0/trHiZN5GhU6vVmDNnDho3boxHjx6hbNmy+Pvvv/HFF19wfA0ZPa2Lm8jISKhUqiztaWlpePz4sU5CUd4Ki3qJ4dvDAABWFnI4WFlInIiIPlZQUBAmTpwIlUqFzz77DBcuXEC1atWkjkWUJ3L8J/ru3bs1ywcOHICjo6NmXaVS4fDhw/Dy8tJpONK/uCQlOq38S7PesAwnxiMyBn369EFwcDC6d++Ofv36sbeGTEqOi5uOHTsCAGQyGQICAjI9Z2FhAS8vLyxcuFCn4Uj/pu2+plluXtEFMzpUljANEeWWSqXCjz/+iL59+0KhUMDc3BwHDhxgUUMmKcfFjVr9ZrBpiRIlcO7cOTg782oaQ3fm3gvsvvREs776Mx+YyfmLkMjQREdHo1evXvjzzz9x48YNLFq0CABY2JDJ0nrk6P379/WRg/KYEALd15zRrP8YUJOFDZEBOnToED777DPExMTAxsaGN1MlQi4vBU9KSsKxY8cQFRUFpVKZ6bkvv/xSJ8FIv64//WdCzCGNS6Fp+SISpiEibWVkZGD69OmYNWsWhBCoUqUKQkNDNTfnIzJlWhc3Fy9eROvWrZGcnIykpCQULFgQsbGxsLGxQZEiRVjcGIjjt59rlse14i9DIkPy+PFj9OzZE8ePHwcADBo0CEuXLoW1tbXEyYjyB60vBR81ahTatWuHly9fwtraGmfOnMGDBw/g4+ODBQsW6CMj6dDDuGR8f/g25u57M4O7RwH+MiQyNCkpKbh48SLs7Oywbds2rFmzhoUN0b9o3XMTHh6OH374AXK5HGZmZkhLS0PJkiXx3XffISAgAJ06ddJHTtKRTqv+wvPENM36pNYVJExDRDklhNAMEC5dujRCQ0NRqlQplClTRuJkRPmP1j03FhYWkMvf7FakSBFERUUBABwdHfHw4UPdpiOdSk1XaQqbAjYWmNOpCj6t4iZxKiL6kIcPH6JRo0Y4dOiQpq1Vq1YsbIjeQeuem+rVq+PcuXMoU6YMGjVqhKlTpyI2NhabN29G5cq8R0p+dvTmM83ysbFNeCdiIgPw22+/oW/fvoiLi8OwYcMQEREBMzMzqWMR5Wta99zMnj0bbm5v/tqfNWsWChQogCFDhuD58+f44YcfdB6QdOPq43gM3vJmigULMxlsLPjLkSg/UyqV+Prrr9G+fXvExcWhZs2a2LdvHwsbohzQuuemZs2amuUiRYpg//79Og1EupeiVKHt9yc163M6VYW5mdZ1LRHlkcjISPj7++Ps2bMAgJEjR2LevHmwtLSUOBmRYdDZN1xYWBjatm2r9X4rVqyAl5cXrKys4Ovrq/lhfpdXr15h2LBhcHNzg6WlJcqWLYu9e/fmNrZJCPorUrPct64Xuvh4SBeGiN7r4cOHqF69Os6ePQsnJyf88ssvWLJkCQsbIi1oVdwcOHAAY8aMwcSJE3Hv3j0AwI0bN9CxY0fUqlVLM0VDToWEhGD06NEIDAxEWFgYqlWrhpYtW+LZs2fZbq9UKtG8eXNERkZix44duHnzJtauXYuiRYtq9b6mJi7pn6ujprStKGESIvoQDw8PtGvXDp988gnCw8M18/oRUc7l+LTUjz/+iEGDBqFgwYJ4+fIl1q1bh0WLFmHEiBHw9/fH1atXUaGCdpcVL1q0CIMGDUK/fv0AAKtXr8aePXuwfv16jB8/Psv269evR1xcHP766y9YWLwZDMuZyD/s7RVSXzQqySkWiPKhu3fvwsnJCYUKFYJMJsPq1athYWGh+T1HRNrJcc/N0qVLMW/ePMTGxiI0NBSxsbFYuXIlrly5gtWrV2td2CiVSly4cAF+fn7/hJHL4efnh9OnT2e7z+7du1GnTh0MGzYMLi4uqFy5MmbPng2VSvXO90lLS0NCQkKmh6nZFf5mcswMlZA4CRH9V2hoKKpXr45+/fpBiDc/ozY2NixsiD5Cjoubu3fvomvXrgCATp06wdzcHPPnz4eHR+7Gb8TGxkKlUsHFxSVTu4uLC6Kjo7Pd5969e9ixYwdUKhX27t2LKVOmYOHChZg5c+Y732fOnDlwdHTUPDw9PXOV11BlqP45VVi9mJN0QYgok9TUVAwZMgT+/v5ITExEXFycSf7xRaQPOS5uUlJSYGNjAwCQyWSwtLTUXBKeV9RqNYoUKYI1a9bAx8cH/v7+mDRpElavXv3OfSZMmID4+HjNw9RuNDhzz3XNclkXewmTENFbt27dwieffKL53TVhwgQcPXoUjo6OEicjMg5aXQq+bt062NnZAXgzI21QUBCcnZ0zbZPTiTOdnZ1hZmaGmJiYTO0xMTFwdXXNdh83NzdYWFhkus9DhQoVEB0dDaVSCYVCkWUfS0tLk77K4N9XSpUubCddECICAGzduhVffPEFkpKSULhwYWzevBktW7aUOhaRUclxcVOsWDGsXbtWs+7q6orNmzdn2kYmk+W4uFEoFPDx8cHhw4c1VwOo1WocPnwYw4cPz3afevXqYdu2bVCr1ZopIG7dugU3N7dsCxtTd/VxvGZ52yBfyDmYmEhSycnJmDx5MpKSktC4cWNs3boV7u7uUsciMjo5Lm4iIyN1/uajR49GQEAAatasidq1a2PJkiVISkrSXD3Vp08fFC1aFHPmzAEADBkyBMuXL8fIkSMxYsQI3L59G7Nnz85xQWVqHsYla5brlCwkYRIiAt4MFA4JCdGMGeTdhon0Q+s7FOuSv78/nj9/jqlTpyI6Ohre3t7Yv3+/ZpBxVFSUpocGADw9PXHgwAGMGjUKVatWRdGiRTFy5EiMGzdOqo+QL6nUArefJeLRyxQAQC2vAprZhIkob23cuBEqlQr9+/cHANSuXRu1a9eWOBWRcZOJt9cemoiEhAQ4OjoiPj4eDg4OUsfRqZdJSrxISsNXIeG4+vifqy5qexVE6OA6EiYjMj2vX7/GsGHDsGnTJlhaWuLy5csoW7as1LGIDJY239+S9tyQ7jx4kYRG849maXd3tEKnGryDM1FeunLlCrp164YbN25ALpdj8uTJKFWqlNSxiEwGixsjMXffDc1yARsLFC1gja0DP4GjNW8ERpRXhBD48ccfMWLECKSmpsLd3R3btm1Do0aNpI5GZFJY3BgJhfmbsUnlXOxxYFRDidMQmR4hBAICAjRXkbZq1QqbNm1C4cKFJU5GZHpyNSv43bt3MXnyZPTo0UMzyeW+fftw7do1nYajnFGpBeKSlACAbrVM6w7MRPmFTCZDmTJlYGZmhrlz52LPnj0sbIgkonVxc+zYMVSpUgV///03du7cidevXwMALl26hMDAQJ0HpPdTqwXaLDuBE7djpY5CZHKEEHj58qVmfeLEibhw4QLGjRuX6UpPIspbWv/0jR8/HjNnzsTBgwcz3TivadOmOHPmjE7D0YclpmXgRnQiAMBWYYbaXgUlTkRkGuLj4+Hv74/GjRsjJeXNbRfMzMxQrVo1iZMRkdZjbq5cuYJt27ZlaS9SpAhiY9l7IKWLU1toxt4Qkf6cP38e/v7+uHfvHszNzXHq1Cn4+flJHYuI/kfrb0InJyc8ffo0S/vFixdRtCgvOc5ry/+8rVnmffqI9EsIgWXLlqFu3bq4d+8eihcvjpMnT7KwIcpntC5uunfvjnHjxiE6OhoymQxqtRqnTp3CmDFj0KdPH31kpHfIUKmx9sR9zbo5544i0puXL1+iU6dOGDlyJNLT09GxY0dcvHgRvr6+Ukcjov/QuriZPXs2ypcvD09PT7x+/RoVK1ZEw4YNUbduXUyePFkfGSkb03ZfQ+lJ+zTrx75pzCkWiPRo6NCh2LVrFxQKBZYtW4adO3eiQIECUsciomzkevqFqKgoXL16Fa9fv0b16tVRpkwZXWfTC2OYfmH8z5cRfO6hZr16MSf8MrSehImIjF9UVBS6dOmCVatWwcfHR+o4RCZHr9MvnDx5EvXr10exYsVQrFixXIek3Pvl4mPN8oGvGqJMETsJ0xAZpxcvXuC3335D3759AQDFihXD33//zR5SIgOg9Wmppk2bokSJEpg4cSIiIiL0kYneY++Vp0jLUAMADo1uiHKu9pBzrA2RTp06dQre3t7o168ffvvtN007Cxsiw6B1cfPkyRN8/fXXOHbsGCpXrgxvb2/Mnz8fjx490kc++o+hW8M0yx4FbCRMQmR81Go15s6di0aNGuHRo0coU6YMPD15128iQ6N1cePs7Izhw4fj1KlTuHv3Lrp27YqNGzfCy8sLTZs21UdG+p/UdJVmeWl3b1hZmEmYhsi4PHv2DK1bt8aECROgUqnQs2dPXLhwAd7e3lJHIyItfdQd30qUKIHx48dj7ty5qFKlCo4dO6arXJSNmIRUzXLT8kUkTEJkXI4dOwZvb28cOHAAVlZWWLduHbZs2QJ7e3upoxFRLuS6uDl16hSGDh0KNzc39OzZE5UrV8aePXt0mY3+4+97cZpla/baEOnM06dP8fTpU1SoUAHnzp3DgAEDOL6GyIBpfbXUhAkTEBwcjCdPnqB58+ZYunQpOnToABsbjv/IKzWKOcHcjNMsEH0MIYSmgOnevTuUSiU6d+4MW1tbiZMR0cfS+hvy+PHj+Oabb/D48WP8/vvv6NGjBwubPFbARvHhjYjonQ4fPowaNWogOjpa09anTx8WNkRGQuuem1OnTukjB+XAdwduSh2ByKCpVCpMnz4dM2fOhBAC06dPx6pVq6SORUQ6lqPiZvfu3fj0009hYWGB3bt3v3fb9u3b6yQYZRaXpETs6zQAgIujlcRpiAzPkydP0LNnT82FDwMHDsTChQslTkVE+pCj4qZjx46Ijo5GkSJF0LFjx3duJ5PJoFKp3vk85d7BiH+6zye3qSBhEiLDc+DAAXz22WeIjY2FnZ0dfvjhB/Ts2VPqWESkJzkqbtRqdbbLlDcexiVj3M9XNOs2Cq3PJhKZrJ9++gndunUDAFSrVg2hoaEoW7asxKmISJ+0HlC8adMmpKWlZWlXKpXYtGmTTkJRZv+eS2pFzxoSJiEyPK1atULZsmUxdOhQnDlzhoUNkQnQurjp168f4uPjs7QnJiaiX79+OglFmaWr3vSWlSpsi9ZVXCVOQ5T/nTlzBkIIAIC9vT3OnTuHFStWwMqK49WITIHWxc2/7w3xb48ePYKjo6NOQtE/hBBYfuQOAKBBmcK8sRjReyiVSowZMwZ16tTBkiVLNO0ODg7ShSKiPJfjwRvVq1eHTCaDTCZDs2bNYG7+z64qlQr3799Hq1at9BLSlF17koD//QEKR2sLacMQ5WORkZHo3r07/v77bwDA48ePP7AHERmrHBc3b6+SCg8PR8uWLWFnZ6d5TqFQwMvLC507d9Z5QFN3MCJGszygQQkJkxDlX7t27UK/fv3w6tUrODk5YcOGDe+9spOIjFuOi5vAwEAAgJeXF/z9/XnuWs/uPHuNkHNRWHviPgDAo4A1HKzYc0P0b2lpaRg7diyWLVsGAPD19UVwcDC8vLykDUZEktL6muKAgAB95KD/aL/8JJKV/9wzaNb/VZEwDVH+FBERgZUrVwIAvv76a8yePRsKBacnITJ1OSpuChYsiFu3bsHZ2RkFChR476DWuLi4dz5HOZOiVGkKG69CNhjTshwalS0scSqi/Kd69er4/vvv4eHhgbZt20odh4jyiRwVN4sXL4a9vb1mmVfs6Nfvl59oln8bUR/2PB1FBABITU3FuHHjMGDAAFStWhUAMHjwYIlTEVF+IxNvbwZhIhISEuDo6Ij4+Ph8eXloXJISNb49CABQmMsRMb0lzM20vmKfyOjcunUL3bp1w6VLl1C+fHlcuXIl01WbRGTctPn+1vpbMywsDFeu/DMVwK+//oqOHTti4sSJUCqV2qelTK4+/ucGiUv9vVnYEAHYtm0bfHx8cOnSJRQuXBhLlixhYUNE76T1N+cXX3yBW7duAQDu3bsHf39/2NjY4KeffsLYsWN1HtDUfPt7hGb50ypuEiYhkl5ycjIGDRqEXr164fXr12jUqJHmdhRERO+idXFz69YteHt7A3gzIV2jRo2wbds2BAUF4eeff9Z1PpPz9hxh37peUsYgklx0dDR8fX2xbt06yGQyTJ06FYcOHYK7u7vU0Ygon9O6X1cIoZkZ/NChQ5orFDw9PREbG6vbdCasZSXOIUWmrXDhwihSpAhcXFywdetWNGvWTOpIRGQgtC5uatasiZkzZ8LPzw/Hjh3DqlWrAAD379+Hi4uLzgMSkelISkqCmZkZrKysYGZmhq1btwIAXF1Z7BNRzml9WmrJkiUICwvD8OHDMWnSJJQuXRoAsGPHDtStW1fnAYnINFy9ehW1atXCqFGjNG2urq4sbIhIa1r33FStWjXT1VJvzZ8/H2ZmZjoJZarSVWrcefZa6hhEeUoIgfXr12P48OFITU1FfHw8Zs6ciUKFCkkdjYgMVK6vpbxw4QKuX78OAKhYsSJq1Kihs1CmavzP/xSN5ma8USIZv8TERAwZMkRz+qlly5bYvHkzCxsi+ihaFzfPnj2Dv78/jh07BicnJwDAq1ev0KRJEwQHB6NwYU4TkBu3YxLxc9gjzXo1DyfpwhDlgUuXLqFbt264desWzMzMMHPmTIwdOxZyOe/tREQfR+vfIiNGjMDr169x7do1xMXFIS4uDlevXkVCQgK+/PJLfWQ0CTP+dX+bP0Y1hMKcv+DJeKWlpaF169a4desWPDw8cOzYMYwfP56FDRHphNY9N/v378ehQ4dQoUIFTVvFihWxYsUKtGjRQqfhTMmJ228uoy/nYo+yLvYSpyHSL0tLS6xatQpr165FUFAQT0MRkU5p/WeSWq2GhUXWiRwtLCw0978h7Vn+r6dmctsKH9iSyDBduHABhw4d0qy3b98eu3fvZmFDRDqndXHTtGlTjBw5Ek+e/DNz9ePHjzFq1CjeZEsHSjjbSh2BSKeEEPj+++9Rt25d+Pv74+HDh5rnZDIOnCci3dO6uFm+fDkSEhLg5eWFUqVKoVSpUihRogQSEhLw/fff6yMjERmoly9fonPnzvjyyy+hVCrRsGFD2NnZSR2LiIyc1mNuPD09ERYWhsOHD2suBa9QoQL8/Px0Ho6IDNfff/+N7t27IzIyEgqFAgsWLMDw4cPZW0NEeqdVcRMSEoLdu3dDqVSiWbNmGDFihL5yEZGBEkJg8eLFGDduHDIyMlCyZEmEhobCx8dH6mhEZCJyfFpq1apV6NGjB86fP4/bt29j2LBh+Oabb/SZjYgMkEwmw40bN5CRkYGuXbsiLCyMhQ0R5akcFzfLly9HYGAgbt68ifDwcGzcuBErV67UZzaTkpbBK83IsP37asmlS5diy5YtCAkJgaOjo4SpiMgU5bi4uXfvHgICAjTrPXv2REZGBp4+faqXYKYkMjZJ6ghEuaZWqzFv3jy0bdtWU+BYW1ujV69eHF9DRJLI8ZibtLQ02Nr+c5myXC6HQqFASkqKXoKZirQMFcbvvKxZd3O0ljANkXaeP3+OPn36YP/+/QCAX3/9Ff/3f/8ncSoiMnVaDSieMmUKbGxsNOtKpRKzZs3K1O28aNEi3aUzchcexOGzdWeRkq4CAFRwc4CZnH/pkmE4fvw4evTogSdPnsDKygrLly9Hx44dpY5FRJTz4qZhw4a4efNmpra6devi3r17mnV2QWvnwoOXmsLG3socC7pWlTgR0YepVCrMmTMHgYGBUKvVqFChAkJDQ1G5cmWpoxERAdCiuDl69KgeY5ieU3diMXvvDQBA+2ruWOzvzV4bMghDhw7FmjVrAAB9+/bF8uXLM52yJiKSWr6YgnfFihXw8vKClZUVfH19cfbs2RztFxwcDJlMZpBd4WfuvdAsf1KyEAsbMhhDhgxBwYIFsXHjRmzYsIGFDRHlO5IXNyEhIRg9ejQCAwMRFhaGatWqoWXLlnj27Nl794uMjMSYMWPQoEGDPEqqH118PNDTt5jUMYjeSaVS4fTp05p1b29vPHjwAH369JEwFRHRu0le3CxatAiDBg1Cv379ULFiRaxevRo2NjZYv379O/dRqVTo1asXpk+fjpIlS+ZhWt1IVmbg+z/vAADsLLWeAYMozzx58gTNmjVDo0aNcO7cOU0754ciovxM0uJGqVTiwoULmealksvl8PPzy/SX4n/NmDEDRYoUwYABA/Iips7diE7ULFdyd5AwCdG7HThwAN7e3jh27BgsLS3x5MkTqSMREeWIpN0GsbGxUKlUcHFxydTu4uKCGzduZLvPyZMn8eOPPyI8PDxH75GWloa0tDTNekJCQq7z6srb8TbWFmboWtNT4jREmWVkZGDKlCmYO3cuAKBatWoIDQ1F2bJlJU5GRJQzueq5OXHiBD777DPUqVMHjx8/BgBs3rwZJ0+e1Gm4/0pMTETv3r2xdu1aODs752ifOXPmwNHRUfPw9JS+mPhu/5tL6t9eBk6UXzx8+BCNGzfWFDZDhw7FmTNnWNgQkUHRurj5+eef0bJlS1hbW+PixYuaXpH4+HjMnj1bq9dydnaGmZkZYmJiMrXHxMTA1dU1y/Z3795FZGQk2rVrB3Nzc5ibm2PTpk3YvXs3zM3Ncffu3Sz7TJgwAfHx8ZrHw4cPtcqoawmp6ZrlMS34hUH5y86dO3Hq1Ck4ODggNDQUK1asgJWVldSxiIi0onVxM3PmTKxevRpr166FhYWFpr1evXoICwvT6rUUCgV8fHxw+PBhTZtarcbhw4dRp06dLNuXL18eV65cQXh4uObRvn17NGnSBOHh4dn2ylhaWsLBwSHTQ0phD15qlvvU9ZIuCFE2RowYgbFjxyIsLAxdu3aVOg4RUa5oPebm5s2baNiwYZZ2R0dHvHr1SusAo0ePRkBAAGrWrInatWtjyZIlSEpKQr9+/QAAffr0QdGiRTFnzhxYWVlluQuqk5MTABjM3VHF//5b1MkaDlYW792WSN8ePHiAKVOmYOXKlbCzs4NcLse8efOkjkVE9FG0Lm5cXV1x584deHl5ZWo/efJkri7L9vf3x/PnzzF16lRER0fD29sb+/fv1wwyjoqKglwu+RXrOlfQViF1BDJxv/76K/r27YtXr17Bzs4OK1eulDoSEZFOaF3cDBo0CCNHjsT69eshk8nw5MkTnD59GmPGjMGUKVNyFWL48OEYPnx4ts99aNqHoKCgXL0nkalSKpUYO3Ysli5dCgCoXbs2xo4dK3EqIiLd0bq4GT9+PNRqNZo1a4bk5GQ0bNgQlpaWGDNmDEaMGKGPjEYjPiUdI7ZdlDoGmbB79+7B398f58+fBwB8/fXXmD17NhQK9iQSkfHQuriRyWSYNGkSvvnmG9y5cwevX79GxYoVecfSHFj0x028TssAALg48AoUyltHjx5Fhw4dkJCQoJkbqm3btlLHIiLSuVzfxE+hUKBixYq6zGL07j5P0iwv7FZNwiRkisqVKwcrKytUqVIF27dvzxf3fCIi0geti5smTZpAJnv3DNZ//vnnRwUyZgrzNwOjp7StCEdrXilF+hcbG6u54aWbmxuOHTuGUqVKZbqNAxGRsdH6MiRvb29Uq1ZN86hYsSKUSiXCwsJQpUoVfWQ0OvZWnCyT9G/79u0oWbIkduzYoWkrX748CxsiMnpaf8suXrw42/Zp06bh9evXHx2IiD5OSkoKRo4cibVr1wIANm3ahC5dukiciogo7+jsBjKfffYZ1q9fr6uXMzrxKen488YzqWOQkbtx4wZ8fX2xdu1ayGQyTJkyBTt37pQ6FhFRntLZ+ZHTp09zDpr3OHA1WrPsxPE2pAebNm3CkCFDkJycDBcXF2zZsgV+fn5SxyIiynNaFzedOnXKtC6EwNOnT3H+/Plc38TPFKRl/DMDeJPyRSRMQsYoLCwMAQEBAICmTZti69at2U4+S0RkCrQubhwdHTOty+VylCtXDjNmzECLFi10FszYRDxNBAC0ruIKCzPjm06CpFWjRg18/fXXcHR0xMSJE2FmZiZ1JCIiyWhV3KhUKvTr1w9VqlRBgQIF9JXJ6Fx5FI/tZ6MAAAkpGRKnIWMghMCmTZvQrFkzeHh4AAAWLFggcSoiovxBqy4EMzMztGjRIlezf5uyyb9e1Sy393aXMAkZg8TERPTu3Rt9+/ZFjx49kJHBgpmI6N+0Pj9SuXJl3Lt3Tx9ZjFby/6ZcaFHRBZ2qF5U4DRmyS5cuoWbNmti6dSvMzMzQpk0byOU8zUlE9G9a/1acOXMmxowZg99//x1Pnz5FQkJCpgdldu1JPG4/e3P/n371SsCc420oF4QQ+OGHH+Dr64tbt27Bw8MDx44dw/jx41ncEBH9R47H3MyYMQNff/01WrduDQBo3759pmkYhBCQyWRQqVTvegmTNDI4XLNsreAgT9JeYmIiBg4ciNDQUABA27ZtERQUhEKFCkmcjIgof8pxcTN9+nQMHjwYR44c0Wceo5OQkg4AaFPVDVWLOn5ga6KszMzMEBERAXNzc8ydOxejR49+7/xuRESmLsfFjRACANCoUSO9hTFmQxuXglzOLyTKGSEEhBCQy+WwsbFBaGgo4uPj8cknn0gdjYgo39PqZD3/WiTSv1evXqFLly6YN2+epq1ChQosbIiIckir+9yULVv2gwVOXFzcRwUiMmVnz56Fv78/IiMjsW/fPvTv3x8uLi5SxyIiMihaFTfTp0/PcodiIvp4QggsWbIE48aNQ3p6OkqWLImQkBAWNkREuaBVcdO9e3cUKcJ5kYh0KS4uDn379sVvv/0GAOjSpQvWrVvHPySIiHIpx8UNx9vkzrPENKkjUD6mVCrxySef4Pbt27C0tMTixYsxePBg/rwREX2EHA8ofnu1FOXc/dgkzbIZr5SibCgUCnz11VcoU6YMzpw5gyFDhrCwISL6SDkubtRqNU9JaenJqxTNctki9hImofwkNjYWERERmvUhQ4YgPDwc3t7e0oUiIjIivG+7HoWefwgAKOlsy3vcEADgxIkTqFatGtq1a4f4+HgAb0752tjYSJyMiMh4sLjRI2uLN9MtmJuxsDF1arUas2bNQuPGjfHkyRMoFAo8f/5c6lhEREZJq6ulKHc6eHMmcFMWExOD3r174+DBgwCAgIAArFixAra2thInIyIyTixuiPTozz//RK9evRAdHQ0bGxusXLkSAQEBUsciIjJqLG70SKlSSx2BJLZ48WJER0ejUqVKCA0NRcWKFaWORERk9DjmRo92hj0GAKjVvIzeVG3YsAFjxozB2bNnWdgQEeURFjd6ZGXx5vCWdeVl4Kbijz/+wJgxYzTrzs7OmD9/Pq+GIiLKQzwtpUep6W9OS1Vyd5A4CelbRkYGAgMDMWfOHAghULduXXTq1EnqWEREJonFjZ5E/uvuxGTcHj16hJ49e+LEiRMAgMGDB+PTTz+VOBURkelicaMnN6ITNctujtYSJiF92rt3L/r06YMXL17A3t4e69atQ7du3aSORURk0jjmRk92hj0CAPgUL8B5pYzU7Nmz0aZNG7x48QI+Pj64ePEiCxsionyAxY2evC1oktIyJE5C+uLj4wOZTIYRI0bg1KlTKFWqlNSRiIgIPC2ld718i0kdgXTo2bNnmglkW7ZsiWvXrqFChQoSpyIion9jzw1RDiiVSowaNQrlypXDvXv3NO0sbIiI8h8WN3qy72q01BFIR+7fv4/69etjyZIlePXqFfbt2yd1JCIieg8WN3qQlqHSLHsW5M3bDNnPP/+M6tWr49y5cyhYsCB2796NYcOGSR2LiIjeg8WNntUoXkDqCJQLqampGD58OLp06YL4+HjUrVsXFy9eRLt27aSORkREH8Dihigby5Ytw4oVKwAA48aNw9GjR1GsGAeHExEZAl4tRZSNkSNH4siRI/jyyy95t2EiIgPDnhsiACkpKViwYAEyMt7cl8jS0hL79u1jYUNEZIDYc0Mm78aNG+jWrRuuXLmCV69eYebMmVJHIiKij8CeGzJpmzdvRs2aNXHlyhW4uLigcePGUkciIqKPxOKGTFJSUhL69++PPn36ICkpCU2bNkV4eDj8/PykjkZERB+JxY0evHitlDoCvcf169dRu3ZtbNiwAXK5HNOnT8cff/wBV1dXqaMREZEOcMyNHpy6E6tZtrYwkzAJZUetVuP+/ftwc3PDtm3beCqKiMjIsLjRA/G//5ZzsYeFGTvH8gOVSgUzszeFZqVKlfDLL7+gevXqmkkwiYjIePCbVw/O3HsBAChawFriJAQAly5dQtWqVXHy5ElNW8uWLVnYEBEZKRY3evDgRTIA4EUSx95ISQiBH374Ab6+voiIiMA333wDIcSHdyQiIoPG4kYPrCzeHNauPh4SJzFdCQkJ6NGjBwYPHoy0tDS0bt0av/32G2QymdTRiIhIz1jc6MGpO29OS9lbcUiTFMLCwuDj44OQkBCYm5tj/vz5+O233+Ds7Cx1NCIiygP89tWx+OR0zXIBG4WESUzT1atXUadOHSiVShQrVgzBwcGoU6eO1LGIiCgPsbjRMaVKrVmuV5o9BXmtUqVKaNu2LTIyMrBhwwYULFhQ6khERJTH8sVpqRUrVsDLywtWVlbw9fXF2bNn37nt2rVr0aBBAxQoUAAFChSAn5/fe7eXikwGmMk5viMvnD9/HvHx8QAAmUyGLVu2YNeuXSxsiIhMlOTFTUhICEaPHo3AwECEhYWhWrVqaNmyJZ49e5bt9kePHkWPHj1w5MgRnD59Gp6enmjRogUeP36cx8lJakIILF68GHXr1sXnn3+uuRLK2tqaA4eJiEyY5MXNokWLMGjQIPTr1w8VK1bE6tWrYWNjg/Xr12e7/datWzF06FB4e3ujfPnyWLduHdRqNQ4fPpzHyUlKcXFx6NixI0aPHo309HSo1Woolbz0noiIJC5ulEolLly4kGmyQrlcDj8/P5w+fTpHr5GcnIz09HSegjAhp0+fhre3N3bv3g2FQoEVK1YgNDQUlpaWUkcjIqJ8QNIBxbGxsVCpVHBxccnU7uLighs3buToNcaNGwd3d/d3zuaclpaGtLQ0zXpCQkLuA5Ok1Go1FixYgIkTJ0KlUqF06dIIDQ1F9erVpY5GRET5iOSnpT7G3LlzERwcjF9++QVWVlbZbjNnzhw4OjpqHp6ennmcknTl1atXWLp0KVQqFXr06IGwsDAWNkRElIWkxY2zszPMzMwQExOTqT0mJgaurq7v3XfBggWYO3cu/vjjD1StWvWd202YMAHx8fGax8OHD3WSnfJewYIFsX37dqxZswZbt26Fvb291JGIiCgfkrS4USgU8PHxyTQY+O3g4PfdeO27777Dt99+i/3796NmzZrvfQ9LS0s4ODhkepBhUKvVmDVrFrZs2aJpa9iwIQYNGsSroYiI6J0kv4nf6NGjERAQgJo1a6J27dpYsmQJkpKS0K9fPwBAnz59ULRoUcyZMwcAMG/ePEydOhXbtm2Dl5cXoqOjAQB2dnaws7OT7HOQbsXExKB37944ePAgbGxs0KRJExQtWlTqWEREZAAkL278/f3x/PlzTJ06FdHR0fD29sb+/fs1g4yjoqIgl//TwbRq1SoolUp06dIl0+sEBgZi2rRpeRmd9OTIkSPo2bMnoqOjYW1tjeXLl8Pd3V3qWEREZCBk4u2dz0xEQkICHB0dER8fr5dTVM8T01Br1iHIZMD9OW10/vrGTKVSYebMmZgxYwbUajUqVaqE0NBQVKxYUepoREQkMW2+vyXvuTE2atOqFXUmIyMDrVq10oy/GjBgAJYtWwYbGxuJkxERkaEx6EvB86ODEW+u/GKNox1zc3PUqlULtra22LJlC9atW8fChoiIcoXFjY6lpqukjmAwMjIy8Pz5c836jBkzcOnSJfTq1UvCVEREZOhY3OhYUtqb4qajNwfAvs+jR4/QpEkTtGnTRjMnlIWFBUqVKiVxMiIiMnQsbnQs6K/7AIB0Nc9LvcvevXvh7e2NkydP4saNG7h69arUkYiIyIiwuNGxogWsAQBehThe5L/S09MxduxYtGnTBi9evECNGjUQFhaGGjVqSB2NiIiMCK+W0pOaXpyl/N8ePHiA7t2748yZMwCAESNGYP78+ZzJm4iIdI7FDeWJgQMH4syZM3B0dMT69evRqVMnqSMREZGR4mkpyhOrVq2Cn58fLl68yMKGiIj0isUN6cX9+/exbt06zXrp0qVx8OBBlChRQsJURERkCnhainTu559/xoABA5CQkAAvLy/4+flJHYmIiEwIe25IZ1JTUzF8+HB06dIF8fHx+OSTT1CmTBmpYxERkYlhcUM6cefOHdStWxcrVqwAAIwdOxbHjh1D8eLFJU5GRESmhqel6KP99NNPGDBgABITE1GoUCFs2rQJrVu3ljoWERGZKBY39NFev36NxMRENGjQANu2bYOHh4fUkYiIyISxuNExtVrqBHkjIyMD5uZv/vn07dsXdnZ2+L//+z9NGxERkVQ45kaHUtNViHiaIHUMvdu8eTOqVq2KFy9eAABkMhm6du3KwoaIiPIFFjc69PhVima5opuDhEn0IykpCf3790efPn1w/fp1LFu2TOpIREREWfBPbT2wszSHi4OV1DF06tq1a+jWrRsiIiIgk8kQGBiIyZMnSx2LiIgoCxY3OnQ+Mg4AYCaXSZxEd4QQCAoKwrBhw5CSkgJXV1ds27YNTZo0kToaERFRtnhaSocevXxzWio+JV3iJLqzcuVK9O/fHykpKWjevDnCw8NZ2BARUb7G4kaH3vbX9P7EeG5c16tXL5QuXRqzZs3C/v374eLiInUkIiKi9+JpKT0w5LNSQggcOnQIfn5+kMlkcHJywpUrV2BlZVxjiIiIyHix54Y0EhIS0LNnT7Ro0QJr167VtLOwISIiQ8KeGwIAXLx4Ed26dcOdO3dgbm6OlJSUD+9ERESUD7G4MXFCCKxcuRKjR4+GUqlEsWLFEBwcjDp16kgdjYiIKFdY3JiwV69eYeDAgfj5558BAO3bt8eGDRtQsGBBiZMRERHlHsfcmLArV67gl19+gYWFBRYvXoxdu3axsCEiIoPHnhsT1qBBAyxfvhw1a9ZErVq1pI5DRESkE+y50ZEMlRrL/rwjdYz3iouLQ8+ePXHz5k1N25AhQ1jYEBGRUWHPjY78ezZwF8f8d+n06dOn0b17d0RFReHOnTv4+++/IZMZ8A15iIiI3oE9NzqSoRaa5YH1S0qYJDO1Wo358+ejYcOGiIqKQqlSpbB69WoWNkREZLTYc6NjxQraQGGeP2rG2NhYBAQEYO/evQAAf39/rFmzBg4ODhInIyIi0h8WN0bqzp07aNy4MR4/fgwrKyssXboUgwYNYo8NEREZPRY3Rqp48eIoXrw47OzsEBoaiqpVq0odiYiIKE+wuDEiz58/h6OjIxQKBSwsLLBjxw7Y29vDzs5O6mhERER5Jn8MDqGPduTIEVStWhUTJ07UtLm5ubGwISIik8PixsCpVCpMnz4dfn5+iI6Oxv79+5GcnCx1LCIiIsmwuDFgT58+RYsWLTBt2jSo1Wr0798fZ8+ehY2NjdTRiIiIJMMxNwbq4MGD+Oyzz/Ds2TPY2tpi1apV6N27t9SxiIiIJMfixgC9evUKXbt2RXx8PKpUqYLQ0FCUL19e6lhERET5AosbA+Tk5ITVq1fjyJEjWLJkCaytraWORERElG+wuDEQ+/btg5WVFZo0aQIA6N69O7p37y5xKiIiovyHA4rzufT0dIwbNw6tW7dGjx49EBMTI3UkIiKifI09N/lYVFQUunfvjtOnTwMAunTpAkdHR4lTERER5W8sbvKp3bt3o2/fvnj58iUcHR3x448/onPnzlLHIiIiyvd4WiqfUalUGD16NDp06ICXL1+iVq1aCAsLY2FDRESUQyxu8hm5XI5nz54BAL766iucPHkSJUuWlDgVERGR4eBpqXwiIyMD5ubmkMlkWLVqFXr16oVPP/1U6lhEREQGhz03EktLS8OIESPQuXNnCCEAAPb29ixsiIiIcok9NxK6c+cO/P39ERYWBgA4efIkGjRoIHEqIiIiw8aeG4mEhISgRo0aCAsLQ6FChfD777+zsCEiItIBFjd5LCUlBYMHD0b37t2RmJiI+vXrIzw8HG3atJE6GhERkVFgcZPHunfvjh9++AEymQwTJ07EkSNH4OHhIXUsIiIio8ExN3ls4sSJuHDhAtavX48WLVpIHYeIiMjosLjRs+TkZJw7dw6NGjUCAPj6+uLu3buwtLSUOBkREZFx4mkpPYqIiEDt2rXRqlUrXL58WdPOwoaIiEh/8kVxs2LFCnh5ecHKygq+vr44e/bse7f/6aefUL58eVhZWaFKlSrYu3dvHiXNGSEENmzYgJo1a+LatWtwcnJCQkKC1LGIiIhMguTFTUhICEaPHo3AwECEhYWhWrVqaNmypWYKgv/666+/0KNHDwwYMAAXL15Ex44d0bFjR1y9ejWPk2dPlZaCgIAA9O/fHykpKWjevDnCw8NRv359qaMRERGZBJl4e1tcifj6+qJWrVpYvnw5AECtVsPT0xMjRozA+PHjs2zv7++PpKQk/P7775q2Tz75BN7e3li9evUH3y8hIQGOjo6Ij4+Hg4ODzj5HWNRLtJ22Fa9+n4+U51GQy+WYMWMGJkyYALlc8hqSiIjIoGnz/S3pt65SqcSFCxfg5+enaZPL5fDz88Pp06ez3ef06dOZtgeAli1bvnP7tLQ0JCQkZHroS/LtM0h5HgV3d3ccOXIEkyZNYmFDRESUxyT95o2NjYVKpYKLi0umdhcXF0RHR2e7T3R0tFbbz5kzB46OjpqHp6enbsL/hwxAkQbd4eXXG+Hh4WjYsKFe3oeIiIjez+i7FSZMmID4+HjN4+HDh3p5n+rFCuDW7La4f3ATChcurJf3ICIiog+T9D43zs7OMDMzQ0xMTKb2mJgYuLq6ZruPq6urVttbWlry0msiIiITImnPjUKhgI+PDw4fPqxpU6vVOHz4MOrUqZPtPnXq1Mm0PQAcPHjwndsTERGRaZH8DsWjR49GQEAAatasidq1a2PJkiVISkpCv379AAB9+vRB0aJFMWfOHADAyJEj0ahRIyxcuBBt2rRBcHAwzp8/jzVr1kj5MYiIiCifkLy48ff3x/PnzzF16lRER0fD29sb+/fv1wwajoqKynTFUd26dbFt2zZMnjwZEydORJkyZbBr1y5UrlxZqo9ARERE+Yjk97nJa/q6zw0RERHpj8Hc54aIiIhI11jcEBERkVFhcUNERERGhcUNERERGRUWN0RERGRUWNwQERGRUWFxQ0REREaFxQ0REREZFRY3REREZFQkn34hr729IXNCQoLESYiIiCin3n5v52RiBZMrbhITEwEAnp6eEichIiIibSUmJsLR0fG925jc3FJqtRpPnjyBvb09ZDKZTl87ISEBnp6eePjwIeet0iMe57zB45w3eJzzDo913tDXcRZCIDExEe7u7pkm1M6OyfXcyOVyeHh46PU9HBwc+IOTB3ic8waPc97gcc47PNZ5Qx/H+UM9Nm9xQDEREREZFRY3REREZFRY3OiQpaUlAgMDYWlpKXUUo8bjnDd4nPMGj3Pe4bHOG/nhOJvcgGIiIiIybuy5ISIiIqPC4oaIiIiMCosbIiIiMiosboiIiMiosLjR0ooVK+Dl5QUrKyv4+vri7Nmz793+p59+Qvny5WFlZYUqVapg7969eZTUsGlznNeuXYsGDRqgQIECKFCgAPz8/D74/4Xe0Pbf81vBwcGQyWTo2LGjfgMaCW2P86tXrzBs2DC4ubnB0tISZcuW5e+OHND2OC9ZsgTlypWDtbU1PD09MWrUKKSmpuZRWsN0/PhxtGvXDu7u7pDJZNi1a9cH9zl69Chq1KgBS0tLlC5dGkFBQXrPCUE5FhwcLBQKhVi/fr24du2aGDRokHBychIxMTHZbn/q1ClhZmYmvvvuOxERESEmT54sLCwsxJUrV/I4uWHR9jj37NlTrFixQly8eFFcv35d9O3bVzg6OopHjx7lcXLDou1xfuv+/fuiaNGiokGDBqJDhw55E9aAaXuc09LSRM2aNUXr1q3FyZMnxf3798XRo0dFeHh4Hic3LNoe561btwpLS0uxdetWcf/+fXHgwAHh5uYmRo0alcfJDcvevXvFpEmTxM6dOwUA8csvv7x3+3v37gkbGxsxevRoERERIb7//nthZmYm9u/fr9ecLG60ULt2bTFs2DDNukqlEu7u7mLOnDnZbt+tWzfRpk2bTG2+vr7iiy++0GtOQ6ftcf6vjIwMYW9vLzZu3KiviEYhN8c5IyND1K1bV6xbt04EBASwuMkBbY/zqlWrRMmSJYVSqcyriEZB2+M8bNgw0bRp00xto0ePFvXq1dNrTmOSk+Jm7NixolKlSpna/P39RcuWLfWYTAielsohpVKJCxcuwM/PT9Mml8vh5+eH06dPZ7vP6dOnM20PAC1btnzn9pS74/xfycnJSE9PR8GCBfUV0+Dl9jjPmDEDRYoUwYABA/IipsHLzXHevXs36tSpg2HDhsHFxQWVK1fG7NmzoVKp8iq2wcnNca5bty4uXLigOXV179497N27F61bt86TzKZCqu9Bk5s4M7diY2OhUqng4uKSqd3FxQU3btzIdp/o6Ohst4+OjtZbTkOXm+P8X+PGjYO7u3uWHyj6R26O88mTJ/Hjjz8iPDw8DxIah9wc53v37uHPP/9Er169sHfvXty5cwdDhw5Feno6AgMD8yK2wcnNce7ZsydiY2NRv359CCGQkZGBwYMHY+LEiXkR2WS863swISEBKSkpsLa21sv7sueGjMrcuXMRHByMX375BVZWVlLHMRqJiYno3bs31q5dC2dnZ6njGDW1Wo0iRYpgzZo18PHxgb+/PyZNmoTVq1dLHc2oHD16FLNnz8bKlSsRFhaGnTt3Ys+ePfj222+ljkY6wJ6bHHJ2doaZmRliYmIytcfExMDV1TXbfVxdXbXannJ3nN9asGAB5s6di0OHDqFq1ar6jGnwtD3Od+/eRWRkJNq1a6dpU6vVAABzc3PcvHkTpUqV0m9oA5Sbf89ubm6wsLCAmZmZpq1ChQqIjo6GUqmEQqHQa2ZDlJvjPGXKFPTu3RsDBw4EAFSpUgVJSUn4/PPPMWnSJMjl/NtfF971Pejg4KC3XhuAPTc5plAo4OPjg8OHD2va1Go1Dh8+jDp16mS7T506dTJtDwAHDx585/aUu+MMAN999x2+/fZb7N+/HzVr1syLqAZN2+Ncvnx5XLlyBeHh4ZpH+/bt0aRJE4SHh8PT0zMv4xuM3Px7rlevHu7cuaMpHgHg1q1bcHNzY2HzDrk5zsnJyVkKmLcFpeCUizoj2fegXocrG5ng4GBhaWkpgoKCREREhPj888+Fk5OTiI6OFkII0bt3bzF+/HjN9qdOnRLm5uZiwYIF4vr16yIwMJCXgueAtsd57ty5QqFQiB07doinT59qHomJiVJ9BIOg7XH+L14tlTPaHueoqChhb28vhg8fLm7evCl+//13UaRIETFz5kypPoJB0PY4BwYGCnt7e7F9+3Zx79498ccff4hSpUqJbt26SfURDEJiYqK4ePGiuHjxogAgFi1aJC5evCgePHgghBBi/Pjxonfv3prt314K/s0334jr16+LFStW8FLw/Oj7778XxYoVEwqFQtSuXVucOXNG81yjRo1EQEBApu1DQ0NF2bJlhUKhEJUqVRJ79uzJ48SGSZvjXLx4cQEgyyMwMDDvgxsYbf89/xuLm5zT9jj/9ddfwtfXV1haWoqSJUuKWbNmiYyMjDxObXi0Oc7p6eli2rRpolSpUsLKykp4enqKoUOHipcvX+Z9cANy5MiRbH/fvj22AQEBolGjRln28fb2FgqFQpQsWVJs2LBB7zllQrD/jYiIiIwHx9wQERGRUWFxQ0REREaFxQ0REREZFRY3REREZFRY3BAREZFRYXFDRERERoXFDRERERkVFjdElElQUBCcnJykjpFrMpkMu3bteu82ffv2RceOHfMkDxHlPRY3REaob9++kMlkWR537tyROhqCgoI0eeRyOTw8PNCvXz88e/ZMJ6//9OlTfPrppwCAyMhIyGQyhIeHZ9pm6dKlCAoK0sn7vcu0adM0n9PMzAyenp74/PPPERcXp9XrsBAj0h5nBScyUq1atcKGDRsytRUuXFiiNJk5ODjg5s2bUKvVuHTpEvr164cnT57gwIEDH/3aH5o9HgAcHR0/+n1yolKlSjh06BBUKhWuX7+O/v37Iz4+HiEhIXny/kSmij03REbK0tISrq6umR5mZmZYtGgRqlSpAltbW3h6emLo0KF4/fr1O1/n0qVLaNKkCezt7eHg4AAfHx+cP39e8/zJkyfRoEEDWFtbw9PTE19++SWSkpLem00mk8HV1RXu7u749NNP8eWXX+LQoUNISUmBWq3GjBkz4OHhAUtLS3h7e2P//v2afZVKJYYPHw43NzdYWVmhePHimDNnTqbXfntaqkSJEgCA6tWrQyaToXHjxgAy94asWbMG7u7umWbhBoAOHTqgf//+mvVff/0VNWrUgJWVFUqWLInp06cjIyPjvZ/T3Nwcrq6uKFq0KPz8/NC1a1ccPHhQ87xKpcKAAQNQokQJWFtbo1y5cli6dKnm+WnTpmHjxo349ddfNb1AR48eBQA8fPgQ3bp1g5OTEwoWLIgOHTogMjLyvXmITAWLGyITI5fLsWzZMly7dg0bN27En3/+ibFjx75z+169esHDwwPnzp3DhQsXMH78eFhYWAAA7t69i1atWqFz5864fPkyQkJCcPLkSQwfPlyrTNbW1lCr1cjIyMDSpUuxcOFCLFiwAJcvX0bLli3Rvn173L59GwCwbNky7N69G6Ghobh58ya2bt0KLy+vbF/37NmzAIBDhw7h6dOn2LlzZ5ZtunbtihcvXuDIkSOatri4OOzfvx+9evUCAJw4cQJ9+vTByJEjERERgR9++AFBQUGYNWtWjj9jZGQkDhw4AIVCoWlTq9Xw8PDATz/9hIiICEydOhUTJ05EaGgoAGDMmDHo1q0bWrVqhadPn+Lp06eoW7cu0tPT0bJlS9jb2+PEiRM4deoU7Ozs0KpVKyiVyhxnIjJaep+ak4jyXEBAgDAzMxO2traaR5cuXbLd9qeffhKFChXSrG/YsEE4Ojpq1u3t7UVQUFC2+w4YMEB8/vnnmdpOnDgh5HK5SElJyXaf/77+rVu3RNmyZUXNmjWFEEK4u7uLWbNmZdqnVq1aYujQoUIIIUaMGCGaNm0q1Gp1tq8PQPzyyy9CCCHu378vAIiLFy9m2ua/M5p36NBB9O/fX7P+ww8/CHd3d6FSqYQQQjRr1kzMnj0702ts3rxZuLm5ZZtBCCECAwOFXC4Xtra2wsrKSjN78qJFi965jxBCDBs2THTu3PmdWd++d7ly5TIdg7S0NGFtbS0OHDjw3tcnMgUcc0NkpJo0aYJVq1Zp1m1tbQG86cWYM2cObty4gYSEBGRkZCA1NRXJycmwsbHJ8jqjR4/GwIEDsXnzZs2plVKlSgF4c8rq8uXL2Lp1q2Z7IQTUajXu37+PChUqZJstPj4ednZ2UKvVSE1NRf369bFu3TokJCTgyZMnqFevXqbt69Wrh0uXLgF4c0qpefPmKFeuHFq1aoW2bduiRYsWH3WsevXqhUGDBmHlypWwtLTE1q1b0b17d8jlcs3nPHXqVKaeGpVK9d7jBgDlypXD7t27kZqaii1btiA8PBwjRozItM2KFSuwfv16REVFISUlBUqlEt7e3u/Ne+nSJdy5cwf29vaZ2lNTU3H37t1cHAEi48LihshI2draonTp0pnaIiMj0bZtWwwZMgSzZs1CwYIFcfLkSQwYMABKpTLbL+lp06ahZ8+e2LNnD/bt24fAwEAEBwfj//7v//D69Wt88cUX+PLLL7PsV6xYsXdms7e3R1hYGORyOdzc3GBtbQ0ASEhI+ODnqlGjBu7fv499+/bh0KFD6NatG/z8/LBjx44P7vsu7dq1gxACe/bsQa1atXDixAksXrxY8/zr168xffp0dOrUKcu+VlZW73xdhUKh+X8wd+5ctGnTBtOnT8e3334LAAgODsaYMWOwcOFC1KlTB/b29pg/fz7+/vvv9+Z9/fo1fHx8MhWVb+WXQeNEUmJxQ2RCLly4ALVajYULF2p6Jd6O73ifsmXLomzZshg1ahR69OiBDRs24P/+7/9Qo0YNREREZCmiPkQul2e7j4ODA9zd3XHq1Ck0atRI037q1CnUrl0703b+/v7w9/dHly5d0KpVK8TFxaFgwYKZXu/t+BaVSvXePFZWVujUqRO2bt2KO3fuoFy5cqhRo4bm+Ro1auDmzZtaf87/mjx5Mpo2bYohQ4ZoPmfdunUxdOhQzTb/7XlRKBRZ8teoUQMhISEoUqQIHBwcPioTkTHigGIiE1K6dGmkp6fj+++/x71797B582asXr36ndunpKRg+PDhOHr0KB48eIBTp07h3LlzmtNN48aNw19//YXhw4cjPDwct2/fxq+//qr1gOJ/++abbzBv3jyEhITg5s2bGD9+PMLDwzFy5EgAwKJFi7B9+3bcuHEDt27dwk8//QRXV9dsbzxYpEgRWFtbY//+/YiJiUF8fPw737dXr17Ys2cP1q9frxlI/NbUqVOxadMmTJ8+HdeuXcP169cRHByMyZMna/XZ6tSpg6pVq2L27NkAgDJlyuD8+fM4cOAAbt26hSlTpuDcuXOZ9vHy8sLly5dx8+ZNxMbGIj09Hb169YKzszM6dOiAEydO4P79+zh69Ci+/PJLPHr0SKtMREZJ6kE/RKR72Q1CfWvRokXCzc1NWFtbi5YtW4pNmzYJAOLly5dCiMwDftPS0kT37t2Fp6enUCgUwt3dXQwfPjzTYOGzZ8+K5s2bCzs7O2FrayuqVq2aZUDwv/13QPF/qVQqMW3aNFG0aFFhYWEhqlWrJvbt26d5fs2aNcLb21vY2toKBwcH0axZMxEWFqZ5Hv8aUCyEEGvXrhWenp5CLpeLRo0avfP4qFQq4ebmJgCIu3fvZsm1f/9+UbduXWFtbS0cHBxE7dq1xZo1a975OQIDA0W1atWytG/fvl1YWlqKqKgokZqaKvr27SscHR2Fk5OTGDJkiBg/fnym/Z49e6Y5vgDEkSNHhBBCPH36VPTp00c4OzsLS0tLUbJkSTFo0CARHx//zkxEpkImhBDSlldEREREusPTUkRERGRUWNwQERGRUWFxQ0REREaFxQ0REREZFRY3REREZFRY3BAREZFRYXFDRERERoXFDRERERkVFjdERERkVFjcEBERkVFhcUNERERGhcUNERERGZX/B51eO6hZQjz7AAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 使用最佳模型进行预测\n",
"best_model = grid_search.best_estimator_\n",
"evaluate_model(best_model, X_test, y_test)"
]
},
{
"cell_type": "code",
"execution_count": 70,
"id": "ceaea3ef",
"metadata": {},
"outputs": [],
"source": [
"# 6. 特征重要性分析（以优化后的XGBoost为例）\n",
"# 获取特征名称\n",
"numeric_features_transformed = numeric_features # 标准化后的数值特征名称不变\n",
"categorical_features_transformed = best_model.named_steps['preprocessor'].named_transformers_['cat'].get_feature_names_out(categorical_features)\n",
"all_features = list(numeric_features_transformed) + list(categorical_features_transformed)"
]
},
{
"cell_type": "code",
"execution_count": 71,
"id": "bfb7a9a5",
"metadata": {},
"outputs": [],
"source": [
"# 获取特征重要性\n",
"importances = best_model.named_steps['classifier'].feature_importances_\n",
"feature_importance = pd.DataFrame({'Feature': all_features, 'Importance': importances})\n",
"feature_importance = feature_importance.sort_values('Importance', ascending=False)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"id": "a659f1a6",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 绘制特征重要性\n",
"plt.figure(figsize=(10, 6))\n",
"sns.barplot(x='Importance', y='Feature', data=feature_importance)\n",
"plt.title('Feature Importance')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 73,
"id": "1ec52747",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"基于分析结果，建议银行重点关注以下客户特征来降低流失率:\n",
"- Gender_Male\n",
"- IsActiveMember_0\n",
"- NumOfProducts\n",
"- Age\n",
"- IsActiveMember_1\n"
]
}
],
"source": [
"# 7. 业务建议\n",
"top_features = feature_importance.head(5)['Feature'].tolist()\n",
"print(\"\\n基于分析结果，建议银行重点关注以下客户特征来降低流失率:\")\n",
"for feature in top_features:\n",
" print(f\"- {feature}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "97de90ae",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
| 2401_82975997/bank_customer_churn_analysis | Churn_train.ipynb | Jupyter Notebook | unknown | 656,626 |
# 导入必要的库
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from xgboost import XGBClassifier
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score, confusion_matrix, roc_curve
from sklearn.compose import ColumnTransformer
# from sklearn.pipeline import Pipeline 无法识别 SMOTE 作为有效步骤。
from imblearn.pipeline import Pipeline #保持兼容性和数据流一致
from imblearn.over_sampling import SMOTE # 用于处理类别不平衡
# 1. 数据加载与初步探索
data = pd.read_csv('d:\OneDrive\桌面\churn_train.csv') # 数据文件名
# 查看数据前5行
print(data.head())
# 查看数据基本信息
print(data.info())
# 查看目标变量分布（检查类别不平衡）
print(data['Exited'].value_counts())
# 2. 数据预处理
# 删除无关特征
data = data.drop(['RowNumber', 'CustomerId', 'Surname'], axis=1)
# 处理缺失值（如果有）
if data.isnull().sum().sum() > 0:
data = data.dropna() # 或使用填充策略 data.fillna(...)
# 定义数值和分类特征
numeric_features = ['CreditScore', 'Age', 'Tenure', 'Balance', 'NumOfProducts', 'EstimatedSalary']
categorical_features = ['Geography', 'Gender', 'HasCrCard', 'IsActiveMember']
# 创建预处理管道
preprocessor = ColumnTransformer(
transformers=[
('num', StandardScaler(), numeric_features),
('cat', OneHotEncoder(), categorical_features)
])
# 分割特征和目标变量
X = data.drop('Exited', axis=1)
y = data['Exited']
# 分割训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)
# 3. 探索性数据分析(EDA)
# 绘制目标变量分布
plt.figure(figsize=(6, 4))
sns.countplot(x='Exited', data=data)
plt.title('Distribution of Churned vs Retained Customers')
plt.show()
# 数值特征分布
plt.figure(figsize=(12, 8))
for i, col in enumerate(numeric_features):
plt.subplot(2, 3, i+1)
sns.histplot(data[col], kde=True)
plt.title(col)
plt.tight_layout()
plt.show()
# 分类特征与流失率的关系
plt.figure(figsize=(12, 8))
for i, col in enumerate(categorical_features):
plt.subplot(2, 2, i+1)
sns.barplot(x=col, y='Exited', data=data)
plt.title(f'Churn Rate by {col}')
plt.tight_layout()
plt.show()
# 特征相关性热力图
# 选择数值列
numeric_data = data.select_dtypes(include=['int64', 'float64'])
# 计算相关性并绘制热力图
plt.figure(figsize=(10, 8))
corr = numeric_data.corr()
sns.heatmap(corr, annot=True, cmap='coolwarm', center=0)
plt.title('Feature Correlation Heatmap (Numerical Features Only)')
plt.show()
# 4. 模型训练与评估
# 4.1定义评估函数
def evaluate_model(model, X_test, y_test):
y_pred = model.predict(X_test)
y_prob = model.predict_proba(X_test)[:, 1]
print(f"Accuracy: {accuracy_score(y_test, y_pred):.4f}")
print(f"Precision: {precision_score(y_test, y_pred):.4f}")
print(f"Recall: {recall_score(y_test, y_pred):.4f}")
print(f"F1 Score: {f1_score(y_test, y_pred):.4f}")
print(f"ROC AUC: {roc_auc_score(y_test, y_prob):.4f}")
# 混淆矩阵
cm = confusion_matrix(y_test, y_pred)
sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')
plt.title('Confusion Matrix')
plt.xlabel('Predicted')
plt.ylabel('Actual')
plt.show()
# ROC曲线
fpr, tpr, _ = roc_curve(y_test, y_prob)
plt.plot(fpr, tpr)
plt.plot([0, 1], [0, 1], 'k--')
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.title('ROC Curve')
plt.show()
#4.2
# 该步骤因为SMOTE需要所有输入特征为数值型，但原始数据包含字符串分类变量（如Geography="France"）。
# 直接调用会报错ValueError: could not convert string to float。所以该步骤对原代码进行修改
# 处理类别不平衡（使用SMOTE）
# smote = SMOTE(random_state=42)
# X_train_res, y_train_res = smote.fit_resample(X_train, y_train)
# 定义特征类型
numeric_features = ['CreditScore', 'Age', 'Tenure', 'Balance', 'NumOfProducts', 'EstimatedSalary']
categorical_features = ['Geography', 'Gender', 'HasCrCard', 'IsActiveMember'] # 根据实际数据调整
# 创建预处理转换器（数值列标准化，分类列独热编码）
preprocessor = ColumnTransformer(
transformers=[
('num', StandardScaler(), numeric_features),
('cat', OneHotEncoder(handle_unknown='ignore'), categorical_features)
])
# 对训练集预处理后再应用SMOTE
X_train_processed = preprocessor.fit_transform(X_train)
smote = SMOTE(random_state=42)
X_train_res, y_train_res = smote.fit_resample(X_train_processed, y_train)
# 测试集预处理（不应用SMOTE）
X_test_processed = preprocessor.transform(X_test)
# 创建模型管道
'''该步骤仍是上述无法识别字符串分类变量问题
models = {
'Logistic Regression': Pipeline([
('preprocessor', preprocessor),
('classifier', LogisticRegression(random_state=42))
]),
'Random Forest': Pipeline([
('preprocessor', preprocessor),
('classifier', RandomForestClassifier(random_state=42))
]),
'XGBoost': Pipeline([
('preprocessor', preprocessor),
('classifier', XGBClassifier(random_state=42, eval_metric='logloss'))
])
}
# 训练并评估模型
for name, model in models.items():
print(f"\n=== {name} ===")
model.fit(X_train_res, y_train_res)
evaluate_model(model, X_test, y_test)
'''
# 修改后采用下面代码
# 4.3 定义统一的预处理和模型Pipeline
preprocessor = ColumnTransformer(
transformers=[
('num', StandardScaler(), numeric_features),
('cat', OneHotEncoder(handle_unknown='ignore'), categorical_features)
])
models = {
'Logistic Regression':
Pipeline([('preprocessor', preprocessor),
('classifier', LogisticRegression(random_state=42))]),
'Random Forest':
Pipeline([('preprocessor', preprocessor),
('classifier', RandomForestClassifier(random_state=42))]),
'XGBoost':
Pipeline([('preprocessor', preprocessor),
('classifier',
XGBClassifier(random_state=42, eval_metric='logloss'))])
}
# 4.4 训练和评估
for name, model in models.items():
print(f"\n=== {name} ===")
model.fit(X_train, y_train) # 输入原始数据
evaluate_model(model, X_test, y_test) # Pipeline会自动预处理测试数据
# 5. 模型优化（以XGBoost为例）
# 定义完整的 Pipeline（包含预处理、SMOTE、模型）
xgb_pipe = Pipeline([
('preprocessor', preprocessor),
('smote', SMOTE(random_state=42)), # SMOTE 在 Pipeline 内部
('classifier', XGBClassifier(random_state=42, eval_metric='logloss'))
])
# 参数网格
param_grid = {
'classifier__n_estimators': [100, 200],
'classifier__max_depth': [3, 5, 7],
'classifier__learning_rate': [0.01, 0.1, 0.2]
}
# 网格搜索
grid_search = GridSearchCV(
xgb_pipe,
param_grid,
cv=5,
scoring='roc_auc',
n_jobs=-1
)
# 直接传入原始数据（未处理的 X_train）
grid_search.fit(X_train, y_train) # 不是 X_train_res
print(f"Best parameters: {grid_search.best_params_}")
print(f"Best ROC AUC: {grid_search.best_score_:.4f}")
# 使用最佳模型进行预测
best_model = grid_search.best_estimator_
evaluate_model(best_model, X_test, y_test)
# 6. 特征重要性分析（以优化后的XGBoost为例）
# 获取特征名称
numeric_features_transformed = numeric_features # 标准化后的数值特征名称不变
categorical_features_transformed = best_model.named_steps['preprocessor'].named_transformers_['cat'].get_feature_names_out(categorical_features)
all_features = list(numeric_features_transformed) + list(categorical_features_transformed)
# 获取特征重要性
importances = best_model.named_steps['classifier'].feature_importances_
feature_importance = pd.DataFrame({'Feature': all_features, 'Importance': importances})
feature_importance = feature_importance.sort_values('Importance', ascending=False)
# 绘制特征重要性
plt.figure(figsize=(10, 6))
sns.barplot(x='Importance', y='Feature', data=feature_importance)
plt.title('Feature Importance')
plt.tight_layout()
plt.show()
# 7. 业务建议
top_features = feature_importance.head(5)['Feature'].tolist()
print("\n基于分析结果，建议银行重点关注以下客户特征来降低流失率:")
for feature in top_features:
print(f"- {feature}")
| 2401_82975997/bank_customer_churn_analysis | churn.py | Python | unknown | 8,994 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" href="/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Chat GPT - InsCode.net</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="/src/main.js"></script>
</body>
</html>
| 2401_83599282/gpt-vue | index.html | HTML | unknown | 351 |
{ pkgs }: {
deps = [
pkgs.yarn
pkgs.nodejs-16_x
];
} | 2401_83599282/gpt-vue | inscode.nix | Nix | unknown | 76 |
<template>
<div class="container ivu-p">
<div class="dialog">
<template v-for="(item, index) in dialogs" :key="index">
<div class="dialog-item" :class="{ 'dialog-item-me': item.role === 'me', 'dialog-item-ai': item.role === 'ai' }">
<div class="dialog-item-main">{{ item.text }}</div>
</div>
</template>
</div>
<div class="question ivu-mt">
<Input v-model="question" type="textarea" :autosize="{ minRows: 4, maxRows: 6 }" placeholder="输入你的问题" />
<Row class="ivu-mt">
<Col>
<Button type="primary" size="large" icon="md-send" :loading="loading" @click="handleSend">发送</Button>
</Col>
<Col>
<Button size="large" class="ivu-ml" icon="md-add" :disabled="loading" @click="handleNewChat">新对话</Button>
</Col>
</Row>
<Typography class="ivu-text-center ivu-m">
Powered By <img src="./assets/logo.png" class="logo"> <a href="https://inscode.net" target="_blank">InsCode.net</a>
</Typography>
</div>
</div>
</template>
<script>
import { fetchEventSource } from '@microsoft/fetch-event-source';
import { apiKey, apiUrl } from './api';
export default {
data() {
return {
question: '',
loading: false,
dialogs: []
}
},
methods: {
handleSend() {
if (this.loading || this.question === '') return;
this.loading = true;
const question = this.question;
this.question = '';
this.dialogs.push({
id: this.dialogs.length + 1,
role: 'me',
text: question
});
const aiDialogID = this.dialogs.length + 1;
this.dialogs.push({
id: aiDialogID,
role: 'ai',
text: 'AI 思考中...'
});
const dialog = this.dialogs.find(item => item.id === aiDialogID);
/**
* 发送请求，InsCode 已经集成了 GPT 能力
* 在 vite.config.js 中已通过环境变量写入了 apiKey（该 key 是动态写入使用者的，在 IDE 中是作者，发布到社区是运行该作品的用户）
* 发布到社区后，将消耗运行者的额度
* 注意：如果部署应用，任何人通过部署后的域名访问应用时，都将消耗部署者的额度
*/
const body = {
messages: [
{
role: 'user',
content: question
}
],
apikey: apiKey
}
const source = fetchEventSource(apiUrl, {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(body),
onopen: (response) => {
dialog.text = '';
},
onmessage: (msg) => {
if (msg.data === '[DONE]') {
this.loading = false;
return;
};
const data = JSON.parse(msg.data);
const finish_reason = data.choices[0].finish_reason;
const finish = finish_reason === 'stop' || finish_reason === 'length';
const content = data.choices[0].delta.content;
if (finish) {
this.loading = false;
} else if (content) {
const text = content;
dialog.text += text;
}
},
onerror: (err) => {
console.log("error", err);
}
});
},
handleNewChat() {
this.dialogs = [];
}
}
}
</script>
<style>
.container {
height: 100%;
display: flex;
flex-direction: column;
}
.dialog {
flex: 1;
overflow: auto;
}
.dialog-item {
display: flex;
}
.dialog-item-main {
max-width: 80%;
padding: 8px;
word-wrap: break-word;
margin-top: 16px;
border-radius: 4px;
}
.dialog-item-me {
justify-content: flex-end;
}
.dialog-item-me .dialog-item-main {
background-color: antiquewhite;
}
.dialog-item-ai .dialog-item-main {
background-color: #eee;
}
.logo{
width: 16px;
height: 16px;
vertical-align: middle;
position: relative;
top: -1px;
}
</style> | 2401_83599282/gpt-vue | src/App.vue | Vue | unknown | 4,000 |
export const apiKey = process.env.INSCODE_API_KEY;
export const apiUrl = 'https://inscode-api.csdn.net/api/v1/gpt/'; | 2401_83599282/gpt-vue | src/api.js | JavaScript | unknown | 116 |
html, body, #app{
height: 100%;
} | 2401_83599282/gpt-vue | src/assets/main.css | CSS | unknown | 37 |
import { createApp } from 'vue'
import ViewUIPlus from 'view-ui-plus'
import App from './App.vue'
import 'view-ui-plus/dist/styles/viewuiplus.css'
import './assets/main.css'
const app = createApp(App)
app.use(ViewUIPlus)
.mount('#app')
| 2401_83599282/gpt-vue | src/main.js | JavaScript | unknown | 243 |
import { defineConfig } from 'vite'
import vue from '@vitejs/plugin-vue'
// https://vitejs.dev/config/
export default defineConfig({
server: {
host: true
},
plugins: [vue()],
define: {
'process.env': {
INSCODE_API_KEY: process.env.INSCODE_API_KEY
}
}
})
| 2401_83599282/gpt-vue | vite.config.js | JavaScript | unknown | 283 |
package com.kong.common.constant;
public class ProductConstant {
public enum AttrEnum{
ATTR_TYPE_BASE(1,"基本属性"),ATTR_TYPE_SALE(0,"销售属性");
private int code;
private String msg;
AttrEnum(int code,String msg){
this.code = code;
this.msg = msg;
}
public int getCode() {
return code;
}
public String getMsg() {
return msg;
}
}
public enum StatusEnum{
NEW_SPU(0,"新建"),SPU_UP(1,"商品上架"),SPU_DOWN(2,"商品下架");
private int code;
private String msg;
StatusEnum(int code,String msg){
this.code = code;
this.msg = msg;
}
public int getCode() {
return code;
}
public String getMsg() {
return msg;
}
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/constant/ProductConstant.java | Java | apache-2.0 | 884 |
package com.kong.common.constant;
public class WareConstant {
// 采购单
public enum PurchaseStatusEnum{
CREATED(0,"新建"),ASSIGNED(1,"已分配"),RECEIVE(2,"已领取"),FINISH(3,"已完成"),HASEERROR(4,"有异常");
private int code;
private String msg;
PurchaseStatusEnum(int code, String msg){
this.code = code;
this.msg = msg;
}
public int getCode() {
return code;
}
public String getMsg() {
return msg;
}
}
//采购需求
public enum PurchaseDetailStatusEnum{
CREATED(0,"新建"),ASSIGNED(1,"已分配"),RECEIVE(2,"正在采购"),FINISH(3,"已完成"),HASEERROR(4,"采购失败");
private int code;
private String msg;
PurchaseDetailStatusEnum(int code, String msg){
this.code = code;
this.msg = msg;
}
public int getCode() {
return code;
}
public String getMsg() {
return msg;
}
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/constant/WareConstant.java | Java | apache-2.0 | 1,059 |
package com.kong.common.exception;
/**错误码和错误信息定义类
* 1.错误码定义规则为5位数字
* 2.前两位表示业务场景，最后三位表示错误码。例如:100001。10:通用 001:系统未知异常
* 3.维护错误码后需要维护错误描述，将他们定义为枚举形式
* 错误码列表:
10:通用
001:参数格式校验
11:商品
12:订单
13:购物车
14:物流
*
*/
public enum BizCodeEnume {
UNKNOW_EXCEPTION(10000,"系统未知异常"),
VALID_EXCEPTION(10001,"参数格式校验失败"),
PRODUCT_UP_EXCEPTION(11000,"商品上架异常");
private int code;
private String msg;
// 编写构造器
BizCodeEnume(int code,String msg){
this.code=code;
this.msg=msg;
}
public int getCode(){
return code;
}
public String getMsg(){
return msg;
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/exception/BizCodeEnume.java | Java | apache-2.0 | 897 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.exception;
/**
* 自定义异常
*
* @author Mark sunlightcs@gmail.com
*/
public class RRException extends RuntimeException {
private static final long serialVersionUID = 1L;
private String msg;
private int code = 500;
public RRException(String msg) {
super(msg);
this.msg = msg;
}
public RRException(String msg, Throwable e) {
super(msg, e);
this.msg = msg;
}
public RRException(String msg, int code) {
super(msg);
this.msg = msg;
this.code = code;
}
public RRException(String msg, int code, Throwable e) {
super(msg, e);
this.msg = msg;
this.code = code;
}
public String getMsg() {
return msg;
}
public void setMsg(String msg) {
this.msg = msg;
}
public int getCode() {
return code;
}
public void setCode(int code) {
this.code = code;
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/exception/RRException.java | Java | apache-2.0 | 982 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.exception;
import com.kong.common.utils.R;
import org.apache.shiro.authz.AuthorizationException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.dao.DuplicateKeyException;
import org.springframework.web.bind.annotation.ExceptionHandler;
import org.springframework.web.bind.annotation.RestControllerAdvice;
import org.springframework.web.servlet.NoHandlerFoundException;
/**
* 异常处理器
*
* @author Mark sunlightcs@gmail.com
*/
@RestControllerAdvice
public class RRExceptionHandler {
private Logger logger = LoggerFactory.getLogger(getClass());
/**
* 处理自定义异常
*/
@ExceptionHandler(RRException.class)
public R handleRRException(RRException e){
R r = new R();
r.put("code", e.getCode());
r.put("msg", e.getMessage());
return r;
}
@ExceptionHandler(NoHandlerFoundException.class)
public R handlerNoFoundException(Exception e) {
logger.error(e.getMessage(), e);
return R.error(404, "路径不存在，请检查路径是否正确");
}
@ExceptionHandler(DuplicateKeyException.class)
public R handleDuplicateKeyException(DuplicateKeyException e){
logger.error(e.getMessage(), e);
return R.error("数据库中已存在该记录");
}
@ExceptionHandler(AuthorizationException.class)
public R handleAuthorizationException(AuthorizationException e){
logger.error(e.getMessage(), e);
return R.error("没有权限，请联系管理员授权");
}
@ExceptionHandler(Exception.class)
public R handleException(Exception e){
logger.error(e.getMessage(), e);
return R.error();
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/exception/RRExceptionHandler.java | Java | apache-2.0 | 1,731 |
package com.kong.common.to;
import lombok.Data;
import java.math.BigDecimal;
import java.util.List;
@Data
public class SkuReductionTo {
private Long skuId;
private int fullCount;
private BigDecimal discount;
private int countStatus;
private BigDecimal fullPrice;
private BigDecimal reducePrice;
private int priceStatus;
private List<MemberPrice> memberPrice;
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/to/SkuReductionTo.java | Java | apache-2.0 | 396 |
package com.kong.common.to;
import lombok.Data;
import java.math.BigDecimal;
@Data
public class SpuBoundTo {
private Long spuId;
private BigDecimal buyBounds;
private BigDecimal growBounds;
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/to/SpuBoundTo.java | Java | apache-2.0 | 207 |
package com.kong.common.to.es;
import lombok.Data;
import java.math.BigDecimal;
import java.util.List;
/**
* 在 es 中保存的数据模型，开发人员分模块，放在 common 中都能访问
*
*/
@Data
public class SkuEsModel {
private Long skuId;
private Long spuId;
private String skuTitle;
private BigDecimal skuPrice;
private String skuImg;
private String skuDesc;
private Long saleCount;
private boolean hasStock;
private Long hotScore;
private Long brandId;
private Long categoryId;
private String brandName;
private String brandImg;
private String categoryName;
private List<Attrs> attrs;
@Data
public static class Attrs{
private Long attrId;
private String attrName;
private String attrValue;
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/to/es/SkuEsModel.java | Java | apache-2.0 | 813 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
* <p>
* https://www.renren.io
* <p>
* 版权所有，侵权必究！
*/
package com.kong.common.utils;
import com.kong.common.validator.group.AliyunGroup;
import com.kong.common.validator.group.QcloudGroup;
import com.kong.common.validator.group.QiniuGroup;
import java.util.Optional;
import java.util.stream.Stream;
/**
* 常量
*
* @author Mark sunlightcs@gmail.com
*/
public class Constant {
/**
* 超级管理员ID
*/
public static final int SUPER_ADMIN = 1;
/**
* 当前页码
*/
public static final String PAGE = "page";
/**
* 每页显示记录数
*/
public static final String LIMIT = "limit";
/**
* 排序字段
*/
public static final String ORDER_FIELD = "sidx";
/**
* 排序方式
*/
public static final String ORDER = "order";
/**
* 升序
*/
public static final String ASC = "asc";
/**
* 菜单类型
*
* @author chenshun
* @email sunlightcs@gmail.com
* @date 2016年11月15日 下午1:24:29
*/
public enum MenuType {
/**
* 目录
*/
CATALOG(0),
/**
* 菜单
*/
MENU(1),
/**
* 按钮
*/
BUTTON(2);
private int value;
MenuType(int value) {
this.value = value;
}
public int getValue() {
return value;
}
}
/**
* 定时任务状态
*
* @author chenshun
* @email sunlightcs@gmail.com
* @date 2016年12月3日 上午12:07:22
*/
public enum ScheduleStatus {
/**
* 正常
*/
NORMAL(0),
/**
* 暂停
*/
PAUSE(1);
private int value;
ScheduleStatus(int value) {
this.value = value;
}
public int getValue() {
return value;
}
}
/**
* 云服务商
*/
public enum CloudService {
/**
* 七牛云
*/
QINIU(1, QiniuGroup.class),
/**
* 阿里云
*/
ALIYUN(2, AliyunGroup.class),
/**
* 腾讯云
*/
QCLOUD(3, QcloudGroup.class);
private int value;
private Class<?> validatorGroupClass;
CloudService(int value, Class<?> validatorGroupClass) {
this.value = value;
this.validatorGroupClass = validatorGroupClass;
}
public int getValue() {
return value;
}
public Class<?> getValidatorGroupClass() {
return this.validatorGroupClass;
}
public static CloudService getByValue(Integer value) {
Optional<CloudService> first = Stream.of(CloudService.values()).filter(cs -> value.equals(cs.value)).findFirst();
if (!first.isPresent()) {
throw new IllegalArgumentException("非法的枚举值:" + value);
}
return first.get();
}
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/utils/Constant.java | Java | apache-2.0 | 3,117 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.utils;
import com.baomidou.mybatisplus.core.metadata.IPage;
import java.io.Serializable;
import java.util.List;
/**
* 分页工具类
*
* @author Mark sunlightcs@gmail.com
*/
public class PageUtils implements Serializable {
private static final long serialVersionUID = 1L;
/**
* 总记录数
*/
private int totalCount;
/**
* 每页记录数
*/
private int pageSize;
/**
* 总页数
*/
private int totalPage;
/**
* 当前页数
*/
private int currPage;
/**
* 列表数据
*/
private List<?> list;
/**
* 分页
* @param list 列表数据
* @param totalCount 总记录数
* @param pageSize 每页记录数
* @param currPage 当前页数
*/
public PageUtils(List<?> list, int totalCount, int pageSize, int currPage) {
this.list = list;
this.totalCount = totalCount;
this.pageSize = pageSize;
this.currPage = currPage;
this.totalPage = (int)Math.ceil((double)totalCount/pageSize);
}
/**
* 分页
*/
public PageUtils(IPage<?> page) {
this.list = page.getRecords();
this.totalCount = (int)page.getTotal();
this.pageSize = (int)page.getSize();
this.currPage = (int)page.getCurrent();
this.totalPage = (int)page.getPages();
}
public int getTotalCount() {
return totalCount;
}
public void setTotalCount(int totalCount) {
this.totalCount = totalCount;
}
public int getPageSize() {
return pageSize;
}
public void setPageSize(int pageSize) {
this.pageSize = pageSize;
}
public int getTotalPage() {
return totalPage;
}
public void setTotalPage(int totalPage) {
this.totalPage = totalPage;
}
public int getCurrPage() {
return currPage;
}
public void setCurrPage(int currPage) {
this.currPage = currPage;
}
public List<?> getList() {
return list;
}
public void setList(List<?> list) {
this.list = list;
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/utils/PageUtils.java | Java | apache-2.0 | 1,999 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.utils;
import com.baomidou.mybatisplus.core.metadata.IPage;
import com.baomidou.mybatisplus.core.metadata.OrderItem;
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.kong.common.xss.SQLFilter;
import org.apache.commons.lang.StringUtils;
import java.util.Map;
/**
* 查询参数
*
* @author Mark sunlightcs@gmail.com
*/
public class Query<T> {
public IPage<T> getPage(Map<String, Object> params) {
return this.getPage(params, null, false);
}
public IPage<T> getPage(Map<String, Object> params, String defaultOrderField, boolean isAsc) {
//分页参数
long curPage = 1;
long limit = 10;
if(params.get(Constant.PAGE) != null){
curPage = Long.parseLong((String)params.get(Constant.PAGE));
}
if(params.get(Constant.LIMIT) != null){
limit = Long.parseLong((String)params.get(Constant.LIMIT));
}
//分页对象
Page<T> page = new Page<>(curPage, limit);
//分页参数
params.put(Constant.PAGE, page);
//排序字段
//防止SQL注入（因为sidx、order是通过拼接SQL实现排序的，会有SQL注入风险）
String orderField = SQLFilter.sqlInject((String)params.get(Constant.ORDER_FIELD));
String order = (String)params.get(Constant.ORDER);
//前端字段排序
if(StringUtils.isNotEmpty(orderField) && StringUtils.isNotEmpty(order)){
if(Constant.ASC.equalsIgnoreCase(order)) {
return page.addOrder(OrderItem.asc(orderField));
}else {
return page.addOrder(OrderItem.desc(orderField));
}
}
//没有排序字段，则不排序
if(StringUtils.isBlank(defaultOrderField)){
return page;
}
//默认排序
if(isAsc) {
page.addOrder(OrderItem.asc(defaultOrderField));
}else {
page.addOrder(OrderItem.desc(defaultOrderField));
}
return page;
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/utils/Query.java | Java | apache-2.0 | 2,207 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.utils;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import lombok.Data;
import org.apache.http.HttpStatus;
import java.util.HashMap;
import java.util.Map;
/**
* 返回数据
*
* @author Mark sunlightcs@gmail.com
*/
public class R extends HashMap<String, Object> {
private static final long serialVersionUID = 1L;
public R setData(Object data) {
put("data", data);
return this;
}
public <T> T getData(TypeReference<T> typeReference){
Object data = get("data"); //默认是 map 类型
T t=JSON.parseObject(JSON.toJSONString(data),typeReference);
return t;
}
public R() {
put("code", 0);
put("msg", "success");
}
public static R error() {
return error(HttpStatus.SC_INTERNAL_SERVER_ERROR, "未知异常，请联系管理员");
}
public static R error(String msg) {
return error(HttpStatus.SC_INTERNAL_SERVER_ERROR, msg);
}
public static R error(int code, String msg) {
R r = new R();
r.put("code", code);
r.put("msg", msg);
return r;
}
public static R ok(String msg) {
R r = new R();
r.put("msg", msg);
return r;
}
public static R ok(Map<String, Object> map) {
R r = new R();
r.putAll(map);
return r;
}
public static R ok() {
return new R();
}
public R put(String key, Object value) {
super.put(key, value);
return this;
}
public Integer getCode() {
return (Integer) this.get("code");
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/utils/R.java | Java | apache-2.0 | 1,569 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.utils;
/**
* 自定义异常
*
* @author Mark sunlightcs@gmail.com
*/
public class RRException extends RuntimeException {
private static final long serialVersionUID = 1L;
private String msg;
private int code = 500;
public RRException(String msg) {
super(msg);
this.msg = msg;
}
public RRException(String msg, Throwable e) {
super(msg, e);
this.msg = msg;
}
public RRException(String msg, int code) {
super(msg);
this.msg = msg;
this.code = code;
}
public RRException(String msg, int code, Throwable e) {
super(msg, e);
this.msg = msg;
this.code = code;
}
public String getMsg() {
return msg;
}
public void setMsg(String msg) {
this.msg = msg;
}
public int getCode() {
return code;
}
public void setCode(int code) {
this.code = code;
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/utils/RRException.java | Java | apache-2.0 | 978 |
package com.kong.common.valid;
public interface AddGroup {
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/valid/AddGroup.java | Java | apache-2.0 | 62 |
package com.kong.common.valid;
import javax.validation.Constraint;
import javax.validation.Payload;
import java.lang.annotation.*;
@Target({ElementType.METHOD, ElementType.FIELD, ElementType.ANNOTATION_TYPE, ElementType.CONSTRUCTOR, ElementType.PARAMETER, ElementType.TYPE_USE})
@Retention(RetentionPolicy.RUNTIME) //运行时校验
@Documented
@Constraint( // 指定校验器
validatedBy = {ListValueConstraintValidator.class}
)
public @interface ListValue {
// message 获取在 ValidationMessages.properties 中自定义的配置
//com.kong.common.valid.ListValue.message=\u5FC5\u987B\u63D0\u4EA4\u6307\u5B9A\u7684\u503C
//将中文字符转换为 Unicode 格式，postman 显示就不报错了
String message() default "{com.kong.common.valid.ListValue.message}";
Class<?>[] groups() default {};
Class<? extends Payload>[] payload() default {};
int[] vals() default{ }; // 自定义属性
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/valid/ListValue.java | Java | apache-2.0 | 961 |
package com.kong.common.valid;
import javax.validation.ConstraintValidator;
import javax.validation.ConstraintValidatorContext;
import java.util.HashSet;
import java.util.Set;
public class ListValueConstraintValidator implements ConstraintValidator<ListValue,Integer> {
private Set<Integer> set=new HashSet<>();
// 初始化方法,将能校验成功的数据全部放入一个集合
@Override
public void initialize(ListValue constraintAnnotation) {
int[] vals=constraintAnnotation.vals();
for (int val : vals) {
set.add(val);
}
}
// 判断是否校验成功
@Override
public boolean isValid(Integer value, ConstraintValidatorContext constraintValidatorContext) {
// value 为 需要校验的值
return (set.contains(value));
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/valid/ListValueConstraintValidator.java | Java | apache-2.0 | 821 |
package com.kong.common.valid;
public interface UpdateGroup {
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/valid/UpdateGroup.java | Java | apache-2.0 | 65 |
package com.kong.common.valid;
public interface UpdateStatusGroup {
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/valid/UpdateStatusGroup.java | Java | apache-2.0 | 71 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.validator;
import com.kong.common.utils.RRException;
import org.apache.commons.lang.StringUtils;
/**
* 数据校验
*
* @author Mark sunlightcs@gmail.com
*/
public abstract class Assert {
public static void isBlank(String str, String message) {
if (StringUtils.isBlank(str)) {
throw new RRException(message);
}
}
public static void isNull(Object object, String message) {
if (object == null) {
throw new RRException(message);
}
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/validator/Assert.java | Java | apache-2.0 | 672 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
* <p>
* https://www.renren.io
* <p>
* 版权所有，侵权必究！
*/
package com.kong.common.validator;
import com.kong.common.exception.RRException;
import com.kong.common.utils.Constant;
import javax.validation.ConstraintViolation;
import javax.validation.Validation;
import javax.validation.Validator;
import java.util.Set;
/**
* hibernate-validator校验工具类
*
* 参考文档：http://docs.jboss.org/hibernate/validator/5.4/reference/en-US/html_single/
*
* @author Mark sunlightcs@gmail.com
*/
public class ValidatorUtils {
private static Validator validator;
static {
validator = Validation.buildDefaultValidatorFactory().getValidator();
}
/**
* 校验对象
* @param object 待校验对象
* @param groups 待校验的组
* @throws RRException 校验不通过，则报RRException异常
*/
public static void validateEntity(Object object, Class<?>... groups)
throws RRException {
Set<ConstraintViolation<Object>> constraintViolations = validator.validate(object, groups);
if (!constraintViolations.isEmpty()) {
StringBuilder msg = new StringBuilder();
for (ConstraintViolation<Object> constraint : constraintViolations) {
msg.append(constraint.getMessage()).append("<br>");
}
throw new RRException(msg.toString());
}
}
public static void validateEntity(Object object, Constant.CloudService type) {
validateEntity(object, type.getValidatorGroupClass());
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/validator/ValidatorUtils.java | Java | apache-2.0 | 1,642 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.validator.group;
/**
* 新增数据 Group
*
* @author Mark sunlightcs@gmail.com
*/
public interface AddGroup {
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/validator/group/AddGroup.java | Java | apache-2.0 | 277 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.validator.group;
/**
* 阿里云
*
* @author Mark sunlightcs@gmail.com
*/
public interface AliyunGroup {
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/validator/group/AliyunGroup.java | Java | apache-2.0 | 271 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.validator.group;
import javax.validation.GroupSequence;
/**
* 定义校验顺序，如果AddGroup组失败，则UpdateGroup组不会再校验
*
* @author Mark sunlightcs@gmail.com
*/
@GroupSequence({AddGroup.class, UpdateGroup.class})
public interface Group {
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/validator/group/Group.java | Java | apache-2.0 | 428 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.validator.group;
/**
* 腾讯云
*
* @author Mark sunlightcs@gmail.com
*/
public interface QcloudGroup {
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/validator/group/QcloudGroup.java | Java | apache-2.0 | 271 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.validator.group;
/**
* 七牛
*
* @author Mark sunlightcs@gmail.com
*/
public interface QiniuGroup {
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/validator/group/QiniuGroup.java | Java | apache-2.0 | 267 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.validator.group;
/**
* 更新数据 Group
*
* @author Mark sunlightcs@gmail.com
*/
public interface UpdateGroup {
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/validator/group/UpdateGroup.java | Java | apache-2.0 | 282 |
package com.kong.common.vo;
import lombok.Data;
@Data
public class SkuHasStockVo {
private Long skuId;
private Boolean hasStock;
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/vo/SkuHasStockVo.java | Java | apache-2.0 | 141 |
package com.kong.common.xss;
import java.util.*;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.logging.Logger;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
/**
*
* HTML filtering utility for protecting against XSS (Cross Site Scripting).
*
* This code is licensed LGPLv3
*
* This code is a Java port of the original work in PHP by Cal Hendersen.
* http://code.iamcal.com/php/lib_filter/
*
* The trickiest part of the translation was handling the differences in regex handling
* between PHP and Java. These resources were helpful in the process:
*
* http://java.sun.com/j2se/1.4.2/docs/api/java/util/regex/Pattern.html
* http://us2.php.net/manual/en/reference.pcre.pattern.modifiers.php
* http://www.regular-expressions.info/modifiers.html
*
* A note on naming conventions: instance variables are prefixed with a "v"; global
* constants are in all caps.
*
* Sample use:
* String input = ...
* String clean = new HTMLFilter().filter( input );
*
* The class is not thread safe. Create a new instance if in doubt.
*
* If you find bugs or have suggestions on improvement (especially regarding
* performance), please contact us. The latest version of this
* source, and our contact details, can be found at http://xss-html-filter.sf.net
*
* @author Joseph O'Connell
* @author Cal Hendersen
* @author Michael Semb Wever
*/
public final class HTMLFilter {
/** regex flag union representing /si modifiers in php **/
private static final int REGEX_FLAGS_SI = Pattern.CASE_INSENSITIVE | Pattern.DOTALL;
private static final Pattern P_COMMENTS = Pattern.compile("<!--(.*?)-->", Pattern.DOTALL);
private static final Pattern P_COMMENT = Pattern.compile("^!--(.*)--$", REGEX_FLAGS_SI);
private static final Pattern P_TAGS = Pattern.compile("<(.*?)>", Pattern.DOTALL);
private static final Pattern P_END_TAG = Pattern.compile("^/([a-z0-9]+)", REGEX_FLAGS_SI);
private static final Pattern P_START_TAG = Pattern.compile("^([a-z0-9]+)(.*?)(/?)$", REGEX_FLAGS_SI);
private static final Pattern P_QUOTED_ATTRIBUTES = Pattern.compile("([a-z0-9]+)=([\"'])(.*?)\\2", REGEX_FLAGS_SI);
private static final Pattern P_UNQUOTED_ATTRIBUTES = Pattern.compile("([a-z0-9]+)(=)([^\"\\s']+)", REGEX_FLAGS_SI);
private static final Pattern P_PROTOCOL = Pattern.compile("^([^:]+):", REGEX_FLAGS_SI);
private static final Pattern P_ENTITY = Pattern.compile("&#(\\d+);?");
private static final Pattern P_ENTITY_UNICODE = Pattern.compile("&#x([0-9a-f]+);?");
private static final Pattern P_ENCODE = Pattern.compile("%([0-9a-f]{2});?");
private static final Pattern P_VALID_ENTITIES = Pattern.compile("&([^&;]*)(?=(;|&|$))");
private static final Pattern P_VALID_QUOTES = Pattern.compile("(>|^)([^<]+?)(<|$)", Pattern.DOTALL);
private static final Pattern P_END_ARROW = Pattern.compile("^>");
private static final Pattern P_BODY_TO_END = Pattern.compile("<([^>]*?)(?=<|$)");
private static final Pattern P_XML_CONTENT = Pattern.compile("(^|>)([^<]*?)(?=>)");
private static final Pattern P_STRAY_LEFT_ARROW = Pattern.compile("<([^>]*?)(?=<|$)");
private static final Pattern P_STRAY_RIGHT_ARROW = Pattern.compile("(^|>)([^<]*?)(?=>)");
private static final Pattern P_AMP = Pattern.compile("&");
private static final Pattern P_QUOTE = Pattern.compile("<");
private static final Pattern P_LEFT_ARROW = Pattern.compile("<");
private static final Pattern P_RIGHT_ARROW = Pattern.compile(">");
private static final Pattern P_BOTH_ARROWS = Pattern.compile("<>");
// @xxx could grow large... maybe use sesat's ReferenceMap
private static final ConcurrentMap<String,Pattern> P_REMOVE_PAIR_BLANKS = new ConcurrentHashMap<String, Pattern>();
private static final ConcurrentMap<String,Pattern> P_REMOVE_SELF_BLANKS = new ConcurrentHashMap<String, Pattern>();
/** set of allowed html elements, along with allowed attributes for each element **/
private final Map<String, List<String>> vAllowed;
/** counts of open tags for each (allowable) html element **/
private final Map<String, Integer> vTagCounts = new HashMap<String, Integer>();
/** html elements which must always be self-closing (e.g. "<img />") **/
private final String[] vSelfClosingTags;
/** html elements which must always have separate opening and closing tags (e.g. "<b></b>") **/
private final String[] vNeedClosingTags;
/** set of disallowed html elements **/
private final String[] vDisallowed;
/** attributes which should be checked for valid protocols **/
private final String[] vProtocolAtts;
/** allowed protocols **/
private final String[] vAllowedProtocols;
/** tags which should be removed if they contain no content (e.g. "<b></b>" or "<b />") **/
private final String[] vRemoveBlanks;
/** entities allowed within html markup **/
private final String[] vAllowedEntities;
/** flag determining whether comments are allowed in input String. */
private final boolean stripComment;
private final boolean encodeQuotes;
private boolean vDebug = false;
/**
* flag determining whether to try to make tags when presented with "unbalanced"
* angle brackets (e.g. "<b text </b>" becomes "<b> text </b>"). If set to false,
* unbalanced angle brackets will be html escaped.
*/
private final boolean alwaysMakeTags;
/** Default constructor.
*
*/
public HTMLFilter() {
vAllowed = new HashMap<>();
final ArrayList<String> a_atts = new ArrayList<String>();
a_atts.add("href");
a_atts.add("target");
vAllowed.put("a", a_atts);
final ArrayList<String> img_atts = new ArrayList<String>();
img_atts.add("src");
img_atts.add("width");
img_atts.add("height");
img_atts.add("alt");
vAllowed.put("img", img_atts);
final ArrayList<String> no_atts = new ArrayList<String>();
vAllowed.put("b", no_atts);
vAllowed.put("strong", no_atts);
vAllowed.put("i", no_atts);
vAllowed.put("em", no_atts);
vSelfClosingTags = new String[]{"img"};
vNeedClosingTags = new String[]{"a", "b", "strong", "i", "em"};
vDisallowed = new String[]{};
vAllowedProtocols = new String[]{"http", "mailto", "https"}; // no ftp.
vProtocolAtts = new String[]{"src", "href"};
vRemoveBlanks = new String[]{"a", "b", "strong", "i", "em"};
vAllowedEntities = new String[]{"amp", "gt", "lt", "quot"};
stripComment = true;
encodeQuotes = true;
alwaysMakeTags = true;
}
/** Set debug flag to true. Otherwise use default settings. See the default constructor.
*
* @param debug turn debug on with a true argument
*/
public HTMLFilter(final boolean debug) {
this();
vDebug = debug;
}
/** Map-parameter configurable constructor.
*
* @param conf map containing configuration. keys match field names.
*/
public HTMLFilter(final Map<String,Object> conf) {
assert conf.containsKey("vAllowed") : "configuration requires vAllowed";
assert conf.containsKey("vSelfClosingTags") : "configuration requires vSelfClosingTags";
assert conf.containsKey("vNeedClosingTags") : "configuration requires vNeedClosingTags";
assert conf.containsKey("vDisallowed") : "configuration requires vDisallowed";
assert conf.containsKey("vAllowedProtocols") : "configuration requires vAllowedProtocols";
assert conf.containsKey("vProtocolAtts") : "configuration requires vProtocolAtts";
assert conf.containsKey("vRemoveBlanks") : "configuration requires vRemoveBlanks";
assert conf.containsKey("vAllowedEntities") : "configuration requires vAllowedEntities";
vAllowed = Collections.unmodifiableMap((HashMap<String, List<String>>) conf.get("vAllowed"));
vSelfClosingTags = (String[]) conf.get("vSelfClosingTags");
vNeedClosingTags = (String[]) conf.get("vNeedClosingTags");
vDisallowed = (String[]) conf.get("vDisallowed");
vAllowedProtocols = (String[]) conf.get("vAllowedProtocols");
vProtocolAtts = (String[]) conf.get("vProtocolAtts");
vRemoveBlanks = (String[]) conf.get("vRemoveBlanks");
vAllowedEntities = (String[]) conf.get("vAllowedEntities");
stripComment = conf.containsKey("stripComment") ? (Boolean) conf.get("stripComment") : true;
encodeQuotes = conf.containsKey("encodeQuotes") ? (Boolean) conf.get("encodeQuotes") : true;
alwaysMakeTags = conf.containsKey("alwaysMakeTags") ? (Boolean) conf.get("alwaysMakeTags") : true;
}
private void reset() {
vTagCounts.clear();
}
private void debug(final String msg) {
if (vDebug) {
Logger.getAnonymousLogger().info(msg);
}
}
//---------------------------------------------------------------
// my versions of some PHP library functions
public static String chr(final int decimal) {
return String.valueOf((char) decimal);
}
public static String htmlSpecialChars(final String s) {
String result = s;
result = regexReplace(P_AMP, "&", result);
result = regexReplace(P_QUOTE, """, result);
result = regexReplace(P_LEFT_ARROW, "<", result);
result = regexReplace(P_RIGHT_ARROW, ">", result);
return result;
}
//---------------------------------------------------------------
/**
* given a user submitted input String, filter out any invalid or restricted
* html.
*
* @param input text (i.e. submitted by a user) than may contain html
* @return "clean" version of input, with only valid, whitelisted html elements allowed
*/
public String filter(final String input) {
reset();
String s = input;
debug("************************************************");
debug(" INPUT: " + input);
s = escapeComments(s);
debug(" escapeComments: " + s);
s = balanceHTML(s);
debug(" balanceHTML: " + s);
s = checkTags(s);
debug(" checkTags: " + s);
s = processRemoveBlanks(s);
debug("processRemoveBlanks: " + s);
s = validateEntities(s);
debug(" validateEntites: " + s);
debug("************************************************\n\n");
return s;
}
public boolean isAlwaysMakeTags(){
return alwaysMakeTags;
}
public boolean isStripComments(){
return stripComment;
}
private String escapeComments(final String s) {
final Matcher m = P_COMMENTS.matcher(s);
final StringBuffer buf = new StringBuffer();
if (m.find()) {
final String match = m.group(1); //(.*?)
m.appendReplacement(buf, Matcher.quoteReplacement("<!--" + htmlSpecialChars(match) + "-->"));
}
m.appendTail(buf);
return buf.toString();
}
private String balanceHTML(String s) {
if (alwaysMakeTags) {
//
// try and form html
//
s = regexReplace(P_END_ARROW, "", s);
s = regexReplace(P_BODY_TO_END, "<$1>", s);
s = regexReplace(P_XML_CONTENT, "$1<$2", s);
} else {
//
// escape stray brackets
//
s = regexReplace(P_STRAY_LEFT_ARROW, "<$1", s);
s = regexReplace(P_STRAY_RIGHT_ARROW, "$1$2><", s);
//
// the last regexp causes '<>' entities to appear
// (we need to do a lookahead assertion so that the last bracket can
// be used in the next pass of the regexp)
//
s = regexReplace(P_BOTH_ARROWS, "", s);
}
return s;
}
private String checkTags(String s) {
Matcher m = P_TAGS.matcher(s);
final StringBuffer buf = new StringBuffer();
while (m.find()) {
String replaceStr = m.group(1);
replaceStr = processTag(replaceStr);
m.appendReplacement(buf, Matcher.quoteReplacement(replaceStr));
}
m.appendTail(buf);
s = buf.toString();
// these get tallied in processTag
// (remember to reset before subsequent calls to filter method)
for (String key : vTagCounts.keySet()) {
for (int ii = 0; ii < vTagCounts.get(key); ii++) {
s += "</" + key + ">";
}
}
return s;
}
private String processRemoveBlanks(final String s) {
String result = s;
for (String tag : vRemoveBlanks) {
if(!P_REMOVE_PAIR_BLANKS.containsKey(tag)){
P_REMOVE_PAIR_BLANKS.putIfAbsent(tag, Pattern.compile("<" + tag + "(\\s[^>]*)?></" + tag + ">"));
}
result = regexReplace(P_REMOVE_PAIR_BLANKS.get(tag), "", result);
if(!P_REMOVE_SELF_BLANKS.containsKey(tag)){
P_REMOVE_SELF_BLANKS.putIfAbsent(tag, Pattern.compile("<" + tag + "(\\s[^>]*)?/>"));
}
result = regexReplace(P_REMOVE_SELF_BLANKS.get(tag), "", result);
}
return result;
}
private static String regexReplace(final Pattern regex_pattern, final String replacement, final String s) {
Matcher m = regex_pattern.matcher(s);
return m.replaceAll(replacement);
}
private String processTag(final String s) {
// ending tags
Matcher m = P_END_TAG.matcher(s);
if (m.find()) {
final String name = m.group(1).toLowerCase();
if (allowed(name)) {
if (!inArray(name, vSelfClosingTags)) {
if (vTagCounts.containsKey(name)) {
vTagCounts.put(name, vTagCounts.get(name) - 1);
return "</" + name + ">";
}
}
}
}
// starting tags
m = P_START_TAG.matcher(s);
if (m.find()) {
final String name = m.group(1).toLowerCase();
final String body = m.group(2);
String ending = m.group(3);
//debug( "in a starting tag, name='" + name + "'; body='" + body + "'; ending='" + ending + "'" );
if (allowed(name)) {
String params = "";
final Matcher m2 = P_QUOTED_ATTRIBUTES.matcher(body);
final Matcher m3 = P_UNQUOTED_ATTRIBUTES.matcher(body);
final List<String> paramNames = new ArrayList<String>();
final List<String> paramValues = new ArrayList<String>();
while (m2.find()) {
paramNames.add(m2.group(1)); //([a-z0-9]+)
paramValues.add(m2.group(3)); //(.*?)
}
while (m3.find()) {
paramNames.add(m3.group(1)); //([a-z0-9]+)
paramValues.add(m3.group(3)); //([^\"\\s']+)
}
String paramName, paramValue;
for (int ii = 0; ii < paramNames.size(); ii++) {
paramName = paramNames.get(ii).toLowerCase();
paramValue = paramValues.get(ii);
// debug( "paramName='" + paramName + "'" );
// debug( "paramValue='" + paramValue + "'" );
// debug( "allowed? " + vAllowed.get( name ).contains( paramName ) );
if (allowedAttribute(name, paramName)) {
if (inArray(paramName, vProtocolAtts)) {
paramValue = processParamProtocol(paramValue);
}
params += " " + paramName + "=\"" + paramValue + "\"";
}
}
if (inArray(name, vSelfClosingTags)) {
ending = " /";
}
if (inArray(name, vNeedClosingTags)) {
ending = "";
}
if (ending == null || ending.length() < 1) {
if (vTagCounts.containsKey(name)) {
vTagCounts.put(name, vTagCounts.get(name) + 1);
} else {
vTagCounts.put(name, 1);
}
} else {
ending = " /";
}
return "<" + name + params + ending + ">";
} else {
return "";
}
}
// comments
m = P_COMMENT.matcher(s);
if (!stripComment && m.find()) {
return "<" + m.group() + ">";
}
return "";
}
private String processParamProtocol(String s) {
s = decodeEntities(s);
final Matcher m = P_PROTOCOL.matcher(s);
if (m.find()) {
final String protocol = m.group(1);
if (!inArray(protocol, vAllowedProtocols)) {
// bad protocol, turn into local anchor link instead
s = "#" + s.substring(protocol.length() + 1, s.length());
if (s.startsWith("#//")) {
s = "#" + s.substring(3, s.length());
}
}
}
return s;
}
private String decodeEntities(String s) {
StringBuffer buf = new StringBuffer();
Matcher m = P_ENTITY.matcher(s);
while (m.find()) {
final String match = m.group(1);
final int decimal = Integer.decode(match).intValue();
m.appendReplacement(buf, Matcher.quoteReplacement(chr(decimal)));
}
m.appendTail(buf);
s = buf.toString();
buf = new StringBuffer();
m = P_ENTITY_UNICODE.matcher(s);
while (m.find()) {
final String match = m.group(1);
final int decimal = Integer.valueOf(match, 16).intValue();
m.appendReplacement(buf, Matcher.quoteReplacement(chr(decimal)));
}
m.appendTail(buf);
s = buf.toString();
buf = new StringBuffer();
m = P_ENCODE.matcher(s);
while (m.find()) {
final String match = m.group(1);
final int decimal = Integer.valueOf(match, 16).intValue();
m.appendReplacement(buf, Matcher.quoteReplacement(chr(decimal)));
}
m.appendTail(buf);
s = buf.toString();
s = validateEntities(s);
return s;
}
private String validateEntities(final String s) {
StringBuffer buf = new StringBuffer();
// validate entities throughout the string
Matcher m = P_VALID_ENTITIES.matcher(s);
while (m.find()) {
final String one = m.group(1); //([^&;]*)
final String two = m.group(2); //(?=(;|&|$))
m.appendReplacement(buf, Matcher.quoteReplacement(checkEntity(one, two)));
}
m.appendTail(buf);
return encodeQuotes(buf.toString());
}
private String encodeQuotes(final String s){
if(encodeQuotes){
StringBuffer buf = new StringBuffer();
Matcher m = P_VALID_QUOTES.matcher(s);
while (m.find()) {
final String one = m.group(1); //(>|^)
final String two = m.group(2); //([^<]+?)
final String three = m.group(3); //(<|$)
m.appendReplacement(buf, Matcher.quoteReplacement(one + regexReplace(P_QUOTE, """, two) + three));
}
m.appendTail(buf);
return buf.toString();
}else{
return s;
}
}
private String checkEntity(final String preamble, final String term) {
return ";".equals(term) && isValidEntity(preamble)
? '&' + preamble
: "&" + preamble;
}
private boolean isValidEntity(final String entity) {
return inArray(entity, vAllowedEntities);
}
private static boolean inArray(final String s, final String[] array) {
for (String item : array) {
if (item != null && item.equals(s)) {
return true;
}
}
return false;
}
private boolean allowed(final String name) {
return (vAllowed.isEmpty() || vAllowed.containsKey(name)) && !inArray(name, vDisallowed);
}
private boolean allowedAttribute(final String name, final String paramName) {
return allowed(name) && (vAllowed.isEmpty() || vAllowed.get(name).contains(paramName));
}
} | 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/xss/HTMLFilter.java | Java | apache-2.0 | 20,644 |
/**
* Copyright (c) 2016-2019 人人开源 All rights reserved.
*
* https://www.renren.io
*
* 版权所有，侵权必究！
*/
package com.kong.common.xss;
import com.kong.common.utils.RRException;
import org.apache.commons.lang.StringUtils;
/**
* SQL过滤
*
* @author Mark sunlightcs@gmail.com
*/
public class SQLFilter {
/**
* SQL注入过滤
* @param str 待验证的字符串
*/
public static String sqlInject(String str){
if(StringUtils.isBlank(str)){
return null;
}
//去掉'|"|;|\字符
str = StringUtils.replace(str, "'", "");
str = StringUtils.replace(str, "\"", "");
str = StringUtils.replace(str, ";", "");
str = StringUtils.replace(str, "\\", "");
//转换成小写
str = str.toLowerCase();
//非法字符
String[] keywords = {"master", "truncate", "insert", "select", "delete", "update", "declare", "alter", "drop"};
//判断是否包含非法字符
for(String keyword : keywords){
if(str.indexOf(keyword) != -1){
throw new RRException("包含非法字符");
}
}
return str;
}
}
| 2401_83448718/meirimall | meirimall-common/src/main/java/com/kong/common/xss/SQLFilter.java | Java | apache-2.0 | 1,212 |
package com.kong.meirimall.coupon;
import com.alibaba.alicloud.context.oss.OssContextAutoConfiguration;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
import org.springframework.cloud.client.discovery.EnableDiscoveryClient;
import org.springframework.context.annotation.ComponentScan;
@ComponentScan("com.kong.meirimall")
@MapperScan("com.kong.meirimall.coupon.dao")
@EnableDiscoveryClient
@SpringBootApplication(exclude = {OssContextAutoConfiguration.class})
public class MeirimallCouponApplication {
public static void main(String[] args) {
SpringApplication.run(MeirimallCouponApplication.class, args);
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/MeirimallCouponApplication.java | Java | apache-2.0 | 832 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cloud.context.config.annotation.RefreshScope;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.CouponEntity;
import com.kong.meirimall.coupon.service.CouponService;
/**
* 优惠券信息
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RefreshScope
@RestController
@RequestMapping("coupon/coupon")
public class CouponController {
@Autowired
private CouponService couponService;
@Value("${coupon.user.name}")
private String name;
@Value("${coupon.user.age}")
private String age;
@RequestMapping("/test")
public R test(){
return R.ok().put("name",name).put("age",age);
}
@RequestMapping("/member/list")
public R membercoupins(){
CouponEntity couponEntity = new CouponEntity();
couponEntity.setCouponName("满100减10");
return R.ok().put("coupons",Arrays.asList());
}
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:coupon:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = couponService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:coupon:info")
public R info(@PathVariable("id") Long id){
CouponEntity coupon = couponService.getById(id);
return R.ok().put("coupon", coupon);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:coupon:save")
public R save(@RequestBody CouponEntity coupon){
couponService.save(coupon);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:coupon:update")
public R update(@RequestBody CouponEntity coupon){
couponService.updateById(coupon);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:coupon:delete")
public R delete(@RequestBody Long[] ids){
couponService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/CouponController.java | Java | apache-2.0 | 2,801 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.CouponHistoryEntity;
import com.kong.meirimall.coupon.service.CouponHistoryService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 优惠券领取历史记录
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RestController
@RequestMapping("coupon/couponhistory")
public class CouponHistoryController {
@Autowired
private CouponHistoryService couponHistoryService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:couponhistory:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = couponHistoryService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:couponhistory:info")
public R info(@PathVariable("id") Long id){
CouponHistoryEntity couponHistory = couponHistoryService.getById(id);
return R.ok().put("couponHistory", couponHistory);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:couponhistory:save")
public R save(@RequestBody CouponHistoryEntity couponHistory){
couponHistoryService.save(couponHistory);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:couponhistory:update")
public R update(@RequestBody CouponHistoryEntity couponHistory){
couponHistoryService.updateById(couponHistory);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:couponhistory:delete")
public R delete(@RequestBody Long[] ids){
couponHistoryService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/CouponHistoryController.java | Java | apache-2.0 | 2,386 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.CouponSpuCategoryRelationEntity;
import com.kong.meirimall.coupon.service.CouponSpuCategoryRelationService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 优惠券分类关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RestController
@RequestMapping("coupon/couponspucategoryrelation")
public class CouponSpuCategoryRelationController {
@Autowired
private CouponSpuCategoryRelationService couponSpuCategoryRelationService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:couponspucategoryrelation:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = couponSpuCategoryRelationService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:couponspucategoryrelation:info")
public R info(@PathVariable("id") Long id){
CouponSpuCategoryRelationEntity couponSpuCategoryRelation = couponSpuCategoryRelationService.getById(id);
return R.ok().put("couponSpuCategoryRelation", couponSpuCategoryRelation);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:couponspucategoryrelation:save")
public R save(@RequestBody CouponSpuCategoryRelationEntity couponSpuCategoryRelation){
couponSpuCategoryRelationService.save(couponSpuCategoryRelation);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:couponspucategoryrelation:update")
public R update(@RequestBody CouponSpuCategoryRelationEntity couponSpuCategoryRelation){
couponSpuCategoryRelationService.updateById(couponSpuCategoryRelation);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:couponspucategoryrelation:delete")
public R delete(@RequestBody Long[] ids){
couponSpuCategoryRelationService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/CouponSpuCategoryRelationController.java | Java | apache-2.0 | 2,692 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.CouponSpuRelationEntity;
import com.kong.meirimall.coupon.service.CouponSpuRelationService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 优惠券与产品关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RestController
@RequestMapping("coupon/couponspurelation")
public class CouponSpuRelationController {
@Autowired
private CouponSpuRelationService couponSpuRelationService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:couponspurelation:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = couponSpuRelationService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:couponspurelation:info")
public R info(@PathVariable("id") Long id){
CouponSpuRelationEntity couponSpuRelation = couponSpuRelationService.getById(id);
return R.ok().put("couponSpuRelation", couponSpuRelation);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:couponspurelation:save")
public R save(@RequestBody CouponSpuRelationEntity couponSpuRelation){
couponSpuRelationService.save(couponSpuRelation);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:couponspurelation:update")
public R update(@RequestBody CouponSpuRelationEntity couponSpuRelation){
couponSpuRelationService.updateById(couponSpuRelation);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:couponspurelation:delete")
public R delete(@RequestBody Long[] ids){
couponSpuRelationService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/CouponSpuRelationController.java | Java | apache-2.0 | 2,487 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.HomeAdvEntity;
import com.kong.meirimall.coupon.service.HomeAdvService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 首页轮播广告
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RestController
@RequestMapping("coupon/homeadv")
public class HomeAdvController {
@Autowired
private HomeAdvService homeAdvService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:homeadv:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = homeAdvService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:homeadv:info")
public R info(@PathVariable("id") Long id){
HomeAdvEntity homeAdv = homeAdvService.getById(id);
return R.ok().put("homeAdv", homeAdv);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:homeadv:save")
public R save(@RequestBody HomeAdvEntity homeAdv){
homeAdvService.save(homeAdv);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:homeadv:update")
public R update(@RequestBody HomeAdvEntity homeAdv){
homeAdvService.updateById(homeAdv);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:homeadv:delete")
public R delete(@RequestBody Long[] ids){
homeAdvService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/HomeAdvController.java | Java | apache-2.0 | 2,221 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.HomeSubjectEntity;
import com.kong.meirimall.coupon.service.HomeSubjectService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 首页专题表【jd首页下面很多专题，每个专题链接新的页面，展示专题商品信息】
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RestController
@RequestMapping("coupon/homesubject")
public class HomeSubjectController {
@Autowired
private HomeSubjectService homeSubjectService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:homesubject:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = homeSubjectService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:homesubject:info")
public R info(@PathVariable("id") Long id){
HomeSubjectEntity homeSubject = homeSubjectService.getById(id);
return R.ok().put("homeSubject", homeSubject);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:homesubject:save")
public R save(@RequestBody HomeSubjectEntity homeSubject){
homeSubjectService.save(homeSubject);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:homesubject:update")
public R update(@RequestBody HomeSubjectEntity homeSubject){
homeSubjectService.updateById(homeSubject);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:homesubject:delete")
public R delete(@RequestBody Long[] ids){
homeSubjectService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/HomeSubjectController.java | Java | apache-2.0 | 2,414 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.HomeSubjectSpuEntity;
import com.kong.meirimall.coupon.service.HomeSubjectSpuService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 专题商品
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RestController
@RequestMapping("coupon/homesubjectspu")
public class HomeSubjectSpuController {
@Autowired
private HomeSubjectSpuService homeSubjectSpuService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:homesubjectspu:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = homeSubjectSpuService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:homesubjectspu:info")
public R info(@PathVariable("id") Long id){
HomeSubjectSpuEntity homeSubjectSpu = homeSubjectSpuService.getById(id);
return R.ok().put("homeSubjectSpu", homeSubjectSpu);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:homesubjectspu:save")
public R save(@RequestBody HomeSubjectSpuEntity homeSubjectSpu){
homeSubjectSpuService.save(homeSubjectSpu);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:homesubjectspu:update")
public R update(@RequestBody HomeSubjectSpuEntity homeSubjectSpu){
homeSubjectSpuService.updateById(homeSubjectSpu);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:homesubjectspu:delete")
public R delete(@RequestBody Long[] ids){
homeSubjectSpuService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/HomeSubjectSpuController.java | Java | apache-2.0 | 2,397 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.MemberPriceEntity;
import com.kong.meirimall.coupon.service.MemberPriceService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 商品会员价格
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@RestController
@RequestMapping("coupon/memberprice")
public class MemberPriceController {
@Autowired
private MemberPriceService memberPriceService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:memberprice:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = memberPriceService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:memberprice:info")
public R info(@PathVariable("id") Long id){
MemberPriceEntity memberPrice = memberPriceService.getById(id);
return R.ok().put("memberPrice", memberPrice);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:memberprice:save")
public R save(@RequestBody MemberPriceEntity memberPrice){
memberPriceService.save(memberPrice);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:memberprice:update")
public R update(@RequestBody MemberPriceEntity memberPrice){
memberPriceService.updateById(memberPrice);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:memberprice:delete")
public R delete(@RequestBody Long[] ids){
memberPriceService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/MemberPriceController.java | Java | apache-2.0 | 2,325 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.SeckillPromotionEntity;
import com.kong.meirimall.coupon.service.SeckillPromotionService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 秒杀活动
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RestController
@RequestMapping("coupon/seckillpromotion")
public class SeckillPromotionController {
@Autowired
private SeckillPromotionService seckillPromotionService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:seckillpromotion:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = seckillPromotionService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:seckillpromotion:info")
public R info(@PathVariable("id") Long id){
SeckillPromotionEntity seckillPromotion = seckillPromotionService.getById(id);
return R.ok().put("seckillPromotion", seckillPromotion);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:seckillpromotion:save")
public R save(@RequestBody SeckillPromotionEntity seckillPromotion){
seckillPromotionService.save(seckillPromotion);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:seckillpromotion:update")
public R update(@RequestBody SeckillPromotionEntity seckillPromotion){
seckillPromotionService.updateById(seckillPromotion);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:seckillpromotion:delete")
public R delete(@RequestBody Long[] ids){
seckillPromotionService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/SeckillPromotionController.java | Java | apache-2.0 | 2,449 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.SeckillSessionEntity;
import com.kong.meirimall.coupon.service.SeckillSessionService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 秒杀活动场次
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RestController
@RequestMapping("coupon/seckillsession")
public class SeckillSessionController {
@Autowired
private SeckillSessionService seckillSessionService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:seckillsession:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = seckillSessionService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:seckillsession:info")
public R info(@PathVariable("id") Long id){
SeckillSessionEntity seckillSession = seckillSessionService.getById(id);
return R.ok().put("seckillSession", seckillSession);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:seckillsession:save")
public R save(@RequestBody SeckillSessionEntity seckillSession){
seckillSessionService.save(seckillSession);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:seckillsession:update")
public R update(@RequestBody SeckillSessionEntity seckillSession){
seckillSessionService.updateById(seckillSession);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:seckillsession:delete")
public R delete(@RequestBody Long[] ids){
seckillSessionService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/SeckillSessionController.java | Java | apache-2.0 | 2,403 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.SeckillSkuNoticeEntity;
import com.kong.meirimall.coupon.service.SeckillSkuNoticeService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 秒杀商品通知订阅
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@RestController
@RequestMapping("coupon/seckillskunotice")
public class SeckillSkuNoticeController {
@Autowired
private SeckillSkuNoticeService seckillSkuNoticeService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:seckillskunotice:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = seckillSkuNoticeService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:seckillskunotice:info")
public R info(@PathVariable("id") Long id){
SeckillSkuNoticeEntity seckillSkuNotice = seckillSkuNoticeService.getById(id);
return R.ok().put("seckillSkuNotice", seckillSkuNotice);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:seckillskunotice:save")
public R save(@RequestBody SeckillSkuNoticeEntity seckillSkuNotice){
seckillSkuNoticeService.save(seckillSkuNotice);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:seckillskunotice:update")
public R update(@RequestBody SeckillSkuNoticeEntity seckillSkuNotice){
seckillSkuNoticeService.updateById(seckillSkuNotice);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:seckillskunotice:delete")
public R delete(@RequestBody Long[] ids){
seckillSkuNoticeService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/SeckillSkuNoticeController.java | Java | apache-2.0 | 2,461 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.SeckillSkuRelationEntity;
import com.kong.meirimall.coupon.service.SeckillSkuRelationService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 秒杀活动商品关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@RestController
@RequestMapping("coupon/seckillskurelation")
public class SeckillSkuRelationController {
@Autowired
private SeckillSkuRelationService seckillSkuRelationService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:seckillskurelation:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = seckillSkuRelationService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:seckillskurelation:info")
public R info(@PathVariable("id") Long id){
SeckillSkuRelationEntity seckillSkuRelation = seckillSkuRelationService.getById(id);
return R.ok().put("seckillSkuRelation", seckillSkuRelation);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:seckillskurelation:save")
public R save(@RequestBody SeckillSkuRelationEntity seckillSkuRelation){
seckillSkuRelationService.save(seckillSkuRelation);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:seckillskurelation:update")
public R update(@RequestBody SeckillSkuRelationEntity seckillSkuRelation){
seckillSkuRelationService.updateById(seckillSkuRelation);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:seckillskurelation:delete")
public R delete(@RequestBody Long[] ids){
seckillSkuRelationService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/SeckillSkuRelationController.java | Java | apache-2.0 | 2,513 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import com.kong.common.to.SkuReductionTo;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import com.kong.meirimall.coupon.entity.SkuFullReductionEntity;
import com.kong.meirimall.coupon.service.SkuFullReductionService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 商品满减信息
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@RestController
@RequestMapping("coupon/skufullreduction")
public class SkuFullReductionController {
@Autowired
private SkuFullReductionService skuFullReductionService;
@PostMapping("/saveInfo")
public R saveInfo(@RequestBody SkuReductionTo skuReductionTo){
skuFullReductionService.saveSkuReduction(skuReductionTo);
return R.ok();
}
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:skufullreduction:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = skuFullReductionService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:skufullreduction:info")
public R info(@PathVariable("id") Long id){
SkuFullReductionEntity skuFullReduction = skuFullReductionService.getById(id);
return R.ok().put("skuFullReduction", skuFullReduction);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:skufullreduction:save")
public R save(@RequestBody SkuFullReductionEntity skuFullReduction){
skuFullReductionService.save(skuFullReduction);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:skufullreduction:update")
public R update(@RequestBody SkuFullReductionEntity skuFullReduction){
skuFullReductionService.updateById(skuFullReduction);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:skufullreduction:delete")
public R delete(@RequestBody Long[] ids){
skuFullReductionService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/SkuFullReductionController.java | Java | apache-2.0 | 2,431 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.kong.meirimall.coupon.entity.SkuLadderEntity;
import com.kong.meirimall.coupon.service.SkuLadderService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 商品阶梯价格
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@RestController
@RequestMapping("coupon/skuladder")
public class SkuLadderController {
@Autowired
private SkuLadderService skuLadderService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:skuladder:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = skuLadderService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:skuladder:info")
public R info(@PathVariable("id") Long id){
SkuLadderEntity skuLadder = skuLadderService.getById(id);
return R.ok().put("skuLadder", skuLadder);
}
/**
* 保存
*/
@RequestMapping("/save")
//@RequiresPermissions("coupon:skuladder:save")
public R save(@RequestBody SkuLadderEntity skuLadder){
skuLadderService.save(skuLadder);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:skuladder:update")
public R update(@RequestBody SkuLadderEntity skuLadder){
skuLadderService.updateById(skuLadder);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:skuladder:delete")
public R delete(@RequestBody Long[] ids){
skuLadderService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/SkuLadderController.java | Java | apache-2.0 | 2,273 |
package com.kong.meirimall.coupon.controller;
import java.util.Arrays;
import java.util.Map;
//import org.apache.shiro.authz.annotation.RequiresPermissions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import com.kong.meirimall.coupon.entity.SpuBoundsEntity;
import com.kong.meirimall.coupon.service.SpuBoundsService;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.R;
/**
* 商品spu积分设置
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@RestController
@RequestMapping("coupon/spubounds")
public class SpuBoundsController {
@Autowired
private SpuBoundsService spuBoundsService;
/**
* 列表
*/
@RequestMapping("/list")
//@RequiresPermissions("coupon:spubounds:list")
public R list(@RequestParam Map<String, Object> params){
PageUtils page = spuBoundsService.queryPage(params);
return R.ok().put("page", page);
}
/**
* 信息
*/
@RequestMapping("/info/{id}")
//@RequiresPermissions("coupon:spubounds:info")
public R info(@PathVariable("id") Long id){
SpuBoundsEntity spuBounds = spuBoundsService.getById(id);
return R.ok().put("spuBounds", spuBounds);
}
/**
* 保存
*/
@PostMapping("/save")
//@RequiresPermissions("coupon:spubounds:save")
public R save(@RequestBody SpuBoundsEntity spuBounds){
spuBoundsService.save(spuBounds);
return R.ok();
}
/**
* 修改
*/
@RequestMapping("/update")
//@RequiresPermissions("coupon:spubounds:update")
public R update(@RequestBody SpuBoundsEntity spuBounds){
spuBoundsService.updateById(spuBounds);
return R.ok();
}
/**
* 删除
*/
@RequestMapping("/delete")
//@RequiresPermissions("coupon:spubounds:delete")
public R delete(@RequestBody Long[] ids){
spuBoundsService.removeByIds(Arrays.asList(ids));
return R.ok();
}
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/controller/SpuBoundsController.java | Java | apache-2.0 | 2,015 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.CouponEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 优惠券信息
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface CouponDao extends BaseMapper<CouponEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/CouponDao.java | Java | apache-2.0 | 371 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.CouponHistoryEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 优惠券领取历史记录
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface CouponHistoryDao extends BaseMapper<CouponHistoryEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/CouponHistoryDao.java | Java | apache-2.0 | 404 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.CouponSpuCategoryRelationEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 优惠券分类关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface CouponSpuCategoryRelationDao extends BaseMapper<CouponSpuCategoryRelationEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/CouponSpuCategoryRelationDao.java | Java | apache-2.0 | 434 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.CouponSpuRelationEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 优惠券与产品关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface CouponSpuRelationDao extends BaseMapper<CouponSpuRelationEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/CouponSpuRelationDao.java | Java | apache-2.0 | 413 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.HomeAdvEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 首页轮播广告
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface HomeAdvDao extends BaseMapper<HomeAdvEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/HomeAdvDao.java | Java | apache-2.0 | 377 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.HomeSubjectEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 首页专题表【jd首页下面很多专题，每个专题链接新的页面，展示专题商品信息】
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface HomeSubjectDao extends BaseMapper<HomeSubjectEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/HomeSubjectDao.java | Java | apache-2.0 | 478 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.HomeSubjectSpuEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 专题商品
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface HomeSubjectSpuDao extends BaseMapper<HomeSubjectSpuEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/HomeSubjectSpuDao.java | Java | apache-2.0 | 392 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.MemberPriceEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 商品会员价格
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Mapper
public interface MemberPriceDao extends BaseMapper<MemberPriceEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/MemberPriceDao.java | Java | apache-2.0 | 389 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.SeckillPromotionEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 秒杀活动
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface SeckillPromotionDao extends BaseMapper<SeckillPromotionEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/SeckillPromotionDao.java | Java | apache-2.0 | 398 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.SeckillSessionEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 秒杀活动场次
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface SeckillSessionDao extends BaseMapper<SeckillSessionEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/SeckillSessionDao.java | Java | apache-2.0 | 398 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.SeckillSkuNoticeEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 秒杀商品通知订阅
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Mapper
public interface SeckillSkuNoticeDao extends BaseMapper<SeckillSkuNoticeEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/SeckillSkuNoticeDao.java | Java | apache-2.0 | 410 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.SeckillSkuRelationEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 秒杀活动商品关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Mapper
public interface SeckillSkuRelationDao extends BaseMapper<SeckillSkuRelationEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/SeckillSkuRelationDao.java | Java | apache-2.0 | 416 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.SkuFullReductionEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 商品满减信息
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Mapper
public interface SkuFullReductionDao extends BaseMapper<SkuFullReductionEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/SkuFullReductionDao.java | Java | apache-2.0 | 404 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.SkuLadderEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 商品阶梯价格
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Mapper
public interface SkuLadderDao extends BaseMapper<SkuLadderEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/SkuLadderDao.java | Java | apache-2.0 | 383 |
package com.kong.meirimall.coupon.dao;
import com.kong.meirimall.coupon.entity.SpuBoundsEntity;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import org.apache.ibatis.annotations.Mapper;
/**
* 商品spu积分设置
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Mapper
public interface SpuBoundsDao extends BaseMapper<SpuBoundsEntity> {
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/dao/SpuBoundsDao.java | Java | apache-2.0 | 386 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.math.BigDecimal;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 优惠券信息
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_coupon")
public class CouponEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 优惠卷类型[0->全场赠券；1->会员赠券；2->购物赠券；3->注册赠券]
*/
private Integer couponType;
/**
* 优惠券图片
*/
private String couponImg;
/**
* 优惠卷名字
*/
private String couponName;
/**
* 数量
*/
private Integer num;
/**
* 金额
*/
private BigDecimal amount;
/**
* 每人限领张数
*/
private Integer perLimit;
/**
* 使用门槛
*/
private BigDecimal minPoint;
/**
* 开始时间
*/
private Date startTime;
/**
* 结束时间
*/
private Date endTime;
/**
* 使用类型[0->全场通用；1->指定分类；2->指定商品]
*/
private Integer useType;
/**
* 备注
*/
private String note;
/**
* 发行数量
*/
private Integer publishCount;
/**
* 已使用数量
*/
private Integer useCount;
/**
* 领取数量
*/
private Integer receiveCount;
/**
* 可以领取的开始日期
*/
private Date enableStartTime;
/**
* 可以领取的结束日期
*/
private Date enableEndTime;
/**
* 优惠码
*/
private String code;
/**
* 可以领取的会员等级[0->不限等级，其他-对应等级]
*/
private Integer memberLevel;
/**
* 发布状态[0-未发布，1-已发布]
*/
private Integer publish;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/CouponEntity.java | Java | apache-2.0 | 1,794 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 优惠券领取历史记录
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_coupon_history")
public class CouponHistoryEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 优惠券id
*/
private Long couponId;
/**
* 会员id
*/
private Long memberId;
/**
* 会员名字
*/
private String memberNickName;
/**
* 获取方式[0->后台赠送；1->主动领取]
*/
private Integer getType;
/**
* 创建时间
*/
private Date createTime;
/**
* 使用状态[0->未使用；1->已使用；2->已过期]
*/
private Integer useType;
/**
* 使用时间
*/
private Date useTime;
/**
* 订单id
*/
private Long orderId;
/**
* 订单号
*/
private Long orderSn;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/CouponHistoryEntity.java | Java | apache-2.0 | 1,070 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 优惠券分类关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_coupon_spu_category_relation")
public class CouponSpuCategoryRelationEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 优惠券id
*/
private Long couponId;
/**
* 产品分类id
*/
private Long categoryId;
/**
* 产品分类名称
*/
private String categoryName;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/CouponSpuCategoryRelationEntity.java | Java | apache-2.0 | 721 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 优惠券与产品关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_coupon_spu_relation")
public class CouponSpuRelationEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 优惠券id
*/
private Long couponId;
/**
* spu_id
*/
private Long spuId;
/**
* spu_name
*/
private String spuName;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/CouponSpuRelationEntity.java | Java | apache-2.0 | 679 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 首页轮播广告
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_home_adv")
public class HomeAdvEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 名字
*/
private String name;
/**
* 图片地址
*/
private String pic;
/**
* 开始时间
*/
private Date startTime;
/**
* 结束时间
*/
private Date endTime;
/**
* 状态
*/
private Integer status;
/**
* 点击数
*/
private Integer clickCount;
/**
* 广告详情连接地址
*/
private String url;
/**
* 备注
*/
private String note;
/**
* 排序
*/
private Integer sort;
/**
* 发布者
*/
private Long publisherId;
/**
* 审核者
*/
private Long authId;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/HomeAdvEntity.java | Java | apache-2.0 | 1,048 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 首页专题表【jd首页下面很多专题，每个专题链接新的页面，展示专题商品信息】
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_home_subject")
public class HomeSubjectEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 专题名字
*/
private String name;
/**
* 专题标题
*/
private String title;
/**
* 专题副标题
*/
private String subTitle;
/**
* 显示状态
*/
private Integer status;
/**
* 详情连接
*/
private String url;
/**
* 排序
*/
private Integer sort;
/**
* 专题图片地址
*/
private String img;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/HomeSubjectEntity.java | Java | apache-2.0 | 962 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 专题商品
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_home_subject_spu")
public class HomeSubjectSpuEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 专题名字
*/
private String name;
/**
* 专题id
*/
private Long subjectId;
/**
* spu_id
*/
private Long spuId;
/**
* 排序
*/
private Integer sort;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/HomeSubjectSpuEntity.java | Java | apache-2.0 | 704 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.math.BigDecimal;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 商品会员价格
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Data
@TableName("sms_member_price")
public class MemberPriceEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* sku_id
*/
private Long skuId;
/**
* 会员等级id
*/
private Long memberLevelId;
/**
* 会员等级名
*/
private String memberLevelName;
/**
* 会员对应价格
*/
private BigDecimal memberPrice;
/**
* 可否叠加其他优惠[0-不可叠加优惠，1-可叠加]
*/
private Integer addOther;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/MemberPriceEntity.java | Java | apache-2.0 | 880 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 秒杀活动
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_seckill_promotion")
public class SeckillPromotionEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 活动标题
*/
private String title;
/**
* 开始日期
*/
private Date startTime;
/**
* 结束日期
*/
private Date endTime;
/**
* 上下线状态
*/
private Integer status;
/**
* 创建时间
*/
private Date createTime;
/**
* 创建人
*/
private Long userId;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/SeckillPromotionEntity.java | Java | apache-2.0 | 830 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 秒杀活动场次
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_seckill_session")
public class SeckillSessionEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 场次名称
*/
private String name;
/**
* 每日开始时间
*/
private Date startTime;
/**
* 每日结束时间
*/
private Date endTime;
/**
* 启用状态
*/
private Integer status;
/**
* 创建时间
*/
private Date createTime;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/SeckillSessionEntity.java | Java | apache-2.0 | 794 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 秒杀商品通知订阅
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
@Data
@TableName("sms_seckill_sku_notice")
public class SeckillSkuNoticeEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* member_id
*/
private Long memberId;
/**
* sku_id
*/
private Long skuId;
/**
* 活动场次id
*/
private Long sessionId;
/**
* 订阅时间
*/
private Date subcribeTime;
/**
* 发送时间
*/
private Date sendTime;
/**
* 通知方式[0-短信，1-邮件]
*/
private Integer noticeType;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/SeckillSkuNoticeEntity.java | Java | apache-2.0 | 864 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.math.BigDecimal;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 秒杀活动商品关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Data
@TableName("sms_seckill_sku_relation")
public class SeckillSkuRelationEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* 活动id
*/
private Long promotionId;
/**
* 活动场次id
*/
private Long promotionSessionId;
/**
* 商品id
*/
private Long skuId;
/**
* 秒杀价格
*/
private BigDecimal seckillPrice;
/**
* 秒杀总量
*/
private BigDecimal seckillCount;
/**
* 每人限购数量
*/
private BigDecimal seckillLimit;
/**
* 排序
*/
private Integer seckillSort;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/SeckillSkuRelationEntity.java | Java | apache-2.0 | 967 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.math.BigDecimal;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 商品满减信息
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Data
@TableName("sms_sku_full_reduction")
public class SkuFullReductionEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* spu_id
*/
private Long skuId;
/**
* 满多少
*/
private BigDecimal fullPrice;
/**
* 减多少
*/
private BigDecimal reducePrice;
/**
* 是否参与其他优惠
*/
private Integer addOther;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/SkuFullReductionEntity.java | Java | apache-2.0 | 780 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.math.BigDecimal;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 商品阶梯价格
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Data
@TableName("sms_sku_ladder")
public class SkuLadderEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
* spu_id
*/
private Long skuId;
/**
* 满几件
*/
private Integer fullCount;
/**
* 打几折
*/
private BigDecimal discount;
/**
* 折后价
*/
private BigDecimal price;
/**
* 是否叠加其他优惠[0-不可叠加，1-可叠加]
*/
private Integer addOther;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/SkuLadderEntity.java | Java | apache-2.0 | 840 |
package com.kong.meirimall.coupon.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.math.BigDecimal;
import java.io.Serializable;
import java.util.Date;
import lombok.Data;
/**
* 商品spu积分设置
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
@Data
@TableName("sms_spu_bounds")
public class SpuBoundsEntity implements Serializable {
private static final long serialVersionUID = 1L;
/**
* id
*/
@TableId
private Long id;
/**
*
*/
private Long spuId;
/**
* 成长积分
*/
private BigDecimal growBounds;
/**
* 购物积分
*/
private BigDecimal buyBounds;
/**
* 优惠生效情况[1111（四个状态位，从右到左）;0 - 无优惠，成长积分是否赠送;1 - 无优惠，购物积分是否赠送;2 - 有优惠，成长积分是否赠送;3 - 有优惠，购物积分是否赠送【状态位0：不赠送，1：赠送】]
*/
private Integer work;
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/entity/SpuBoundsEntity.java | Java | apache-2.0 | 1,004 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.CouponHistoryEntity;
import java.util.Map;
/**
* 优惠券领取历史记录
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface CouponHistoryService extends IService<CouponHistoryEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/CouponHistoryService.java | Java | apache-2.0 | 476 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.CouponEntity;
import java.util.Map;
/**
* 优惠券信息
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface CouponService extends IService<CouponEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/CouponService.java | Java | apache-2.0 | 443 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.CouponSpuCategoryRelationEntity;
import java.util.Map;
/**
* 优惠券分类关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface CouponSpuCategoryRelationService extends IService<CouponSpuCategoryRelationEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/CouponSpuCategoryRelationService.java | Java | apache-2.0 | 506 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.CouponSpuRelationEntity;
import java.util.Map;
/**
* 优惠券与产品关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface CouponSpuRelationService extends IService<CouponSpuRelationEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/CouponSpuRelationService.java | Java | apache-2.0 | 485 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.HomeAdvEntity;
import java.util.Map;
/**
* 首页轮播广告
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface HomeAdvService extends IService<HomeAdvEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/HomeAdvService.java | Java | apache-2.0 | 449 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.HomeSubjectEntity;
import java.util.Map;
/**
* 首页专题表【jd首页下面很多专题，每个专题链接新的页面，展示专题商品信息】
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface HomeSubjectService extends IService<HomeSubjectEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/HomeSubjectService.java | Java | apache-2.0 | 550 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.HomeSubjectSpuEntity;
import java.util.Map;
/**
* 专题商品
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface HomeSubjectSpuService extends IService<HomeSubjectSpuEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/HomeSubjectSpuService.java | Java | apache-2.0 | 464 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.MemberPriceEntity;
import java.util.Map;
/**
* 商品会员价格
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
public interface MemberPriceService extends IService<MemberPriceEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/MemberPriceService.java | Java | apache-2.0 | 461 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.SeckillPromotionEntity;
import java.util.Map;
/**
* 秒杀活动
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface SeckillPromotionService extends IService<SeckillPromotionEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/SeckillPromotionService.java | Java | apache-2.0 | 470 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.SeckillSessionEntity;
import java.util.Map;
/**
* 秒杀活动场次
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface SeckillSessionService extends IService<SeckillSessionEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/SeckillSessionService.java | Java | apache-2.0 | 470 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.SeckillSkuNoticeEntity;
import java.util.Map;
/**
* 秒杀商品通知订阅
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:43
*/
public interface SeckillSkuNoticeService extends IService<SeckillSkuNoticeEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/SeckillSkuNoticeService.java | Java | apache-2.0 | 482 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.SeckillSkuRelationEntity;
import java.util.Map;
/**
* 秒杀活动商品关联
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
public interface SeckillSkuRelationService extends IService<SeckillSkuRelationEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/SeckillSkuRelationService.java | Java | apache-2.0 | 488 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.to.SkuReductionTo;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.SkuFullReductionEntity;
import java.util.Map;
/**
* 商品满减信息
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
public interface SkuFullReductionService extends IService<SkuFullReductionEntity> {
PageUtils queryPage(Map<String, Object> params);
void saveSkuReduction(SkuReductionTo skuReductionTo);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/SkuFullReductionService.java | Java | apache-2.0 | 577 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.SkuLadderEntity;
import java.util.Map;
/**
* 商品阶梯价格
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
public interface SkuLadderService extends IService<SkuLadderEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/SkuLadderService.java | Java | apache-2.0 | 455 |
package com.kong.meirimall.coupon.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.kong.common.utils.PageUtils;
import com.kong.meirimall.coupon.entity.SpuBoundsEntity;
import java.util.Map;
/**
* 商品spu积分设置
*
* @author kong
* @email kong@gmail.com
* @date 2024-10-04 10:02:42
*/
public interface SpuBoundsService extends IService<SpuBoundsEntity> {
PageUtils queryPage(Map<String, Object> params);
}
| 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/SpuBoundsService.java | Java | apache-2.0 | 458 |
package com.kong.meirimall.coupon.service.impl;
import org.springframework.stereotype.Service;
import java.util.Map;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.core.metadata.IPage;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.kong.common.utils.PageUtils;
import com.kong.common.utils.Query;
import com.kong.meirimall.coupon.dao.CouponHistoryDao;
import com.kong.meirimall.coupon.entity.CouponHistoryEntity;
import com.kong.meirimall.coupon.service.CouponHistoryService;
@Service("couponHistoryService")
public class CouponHistoryServiceImpl extends ServiceImpl<CouponHistoryDao, CouponHistoryEntity> implements CouponHistoryService {
@Override
public PageUtils queryPage(Map<String, Object> params) {
IPage<CouponHistoryEntity> page = this.page(
new Query<CouponHistoryEntity>().getPage(params),
new QueryWrapper<CouponHistoryEntity>()
);
return new PageUtils(page);
}
} | 2401_83448718/meirimall | meirimall-coupon/src/main/java/com/kong/meirimall/coupon/service/impl/CouponHistoryServiceImpl.java | Java | apache-2.0 | 1,036 |