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修复新增数据集页面功能错误，增加供应商数据文件

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Tian jianyong 2024-11-13 14:18:04 +08:00
parent d86c47484e
commit 06aac27f20
4 changed files with 286 additions and 99 deletions
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80
frontend/src/views/DatasetPage.vue
View File

@ -91,6 +91,8 @@
<el-select v-model="datasetForm.purpose">
<el-option label="训练" value="训练"></el-option>
<el-option label="验证" value="验证"></el-option>
<el-option label="分析" value="分析"></el-option>
<el-option label="测试" value="测试"></el-option>
</el-select>
</el-form-item>
<el-form-item label="描述">
@ -100,6 +102,7 @@
<!-- 选择装备数据 -->
<el-form-item label="选择装备" required>
<el-table
v-if="datasetForm.equipment_type"
ref="equipmentTable"
:data="availableEquipment"
border
@ -115,6 +118,9 @@
</template>
</el-table-column>
</el-table>
<div v-else class="empty-tip">
请先选择装备类型
</div>
</el-form-item>
</el-form>
<template #footer>
@ -139,7 +145,8 @@ const selectedDataset = ref(null) // 选中的数据集
const detailsVisible = ref(false) // 详情对话框显示状态
const editVisible = ref(false) // 编辑对话框显示状态
const availableEquipment = ref([]) // 可选装备列表
const selectedEquipment = ref([]) // 已选装备列表
const selectedEquipment = ref([]) // 用于保存最终选中的设备
const currentSelection = ref([]) // 用于处理表格的选中状态
// 表格引用
const equipmentTable = ref(null)
@ -182,6 +189,7 @@ const editDataset = async (dataset) => {
try {
// 获取数据集详情
const response = await axios.get(`${API_BASE_URL}/datasets/${dataset.id}`)
console.log('Dataset details:', response.data) // 添加日志
// 设置表单数据
datasetForm.value = {
@ -192,21 +200,34 @@ const editDataset = async (dataset) => {
description: response.data.description
}
// 设置已选装备
// 设置已选装备 - 直接使用后端返回的设备列表
selectedEquipment.value = response.data.equipment
availableEquipment.value = response.data.equipment
console.log('Selected equipment:', selectedEquipment.value) // 添加日志
// 先显示对话框
editVisible.value = true
// 等待对话框显示并且表格组件挂载完成
await nextTick()
// 加载可选装备
await loadAvailableEquipment()
// 再次等待表格数据更新完成
await nextTick()
// 设置表格选中状态
nextTick(() => {
if (equipmentTable.value) {
equipmentTable.value.clearSelection()
availableEquipment.value.forEach(item => {
if (equipmentTable.value) {
console.log('Setting table selections')
equipmentTable.value.clearSelection()
availableEquipment.value.forEach(item => {
if (selectedEquipment.value.find(e => e.equipment_id === item.equipment_id)) {
equipmentTable.value.toggleRowSelection(item, true)
})
}
})
editVisible.value = true
}
})
} else {
console.warn('Equipment table not ready')
}
} catch (error) {
console.error('Error getting dataset details:', error)
@ -245,34 +266,56 @@ const deleteDataset = async (dataset) => {
// 加载可选装备
const loadAvailableEquipment = async () => {
try {
const response = await axios.get(`${API_BASE_URL}/data`)
availableEquipment.value = datasetForm.value.equipment_type === '火箭炮'
? response.data.rocket_artillery
: response.data.loitering_munition
const response = await axios.get(`${API_BASE_URL}/data`)
// 根据装备类型过滤数据
availableEquipment.value = response.data.filter(item =>
item.type === datasetForm.value.equipment_type
)
} catch (error) {
console.error('Error loading equipment:', error) // 添加错误日志
ElMessage.error('获取装备列表失败')
}
}
// 处理装备类型变化
const handleEquipmentTypeChange = () => {
console.log('Equipment type changed:', datasetForm.value.equipment_type) // 添加日志
selectedEquipment.value = [] // 清空已选装备
loadAvailableEquipment() // 重新加载可选装备
}
// 处理装备选择变化
const handleSelectionChange = (selection) => {
selectedEquipment.value = selection
// 更新当前表格选中状态
currentSelection.value = selection
}
// 保存数据集
const saveDataset = async () => {
try {
// 验证必填字段
if (!datasetForm.value.name || !datasetForm.value.equipment_type || !datasetForm.value.purpose) {
ElMessage.warning('请填写必要信息')
return
}
// 使用当前表格选中状态更新最终选中的设备
selectedEquipment.value = currentSelection.value
// 验证是否选择了装备
if (!selectedEquipment.value.length) {
ElMessage.warning('请选择装备')
return
}
// 准备要保存的数据
const data = {
...datasetForm.value,
equipment_ids: selectedEquipment.value.map(item => item.id)
equipment_ids: selectedEquipment.value.map(item => item.equipment_id) // 使用 equipment_id
}
console.log('Saving dataset:', data) // 添加日志
if (data.id) {
await axios.put(`${API_BASE_URL}/datasets/${data.id}`, data)
} else {
@ -283,6 +326,7 @@ const saveDataset = async () => {
editVisible.value = false
loadDatasets()
} catch (error) {
console.error('Error saving dataset:', error) // 添加错误日志
ElMessage.error('保存失败')
}
}

12
frontend/src/views/TrainingPage.vue
View File

@ -61,8 +61,8 @@
<div class="best-model-info" v-if="trainingResult.best_model">
<h4>最佳模型: {{ getModelName(trainingResult.best_model.type) }}</h4>
<p>R²分数: {{ formatNumber(trainingResult.best_model.r2) }}</p>
<p>MAE: {{ formatNumber(trainingResult.best_model.mae) }} 元</p>
<p>RMSE: {{ formatNumber(trainingResult.best_model.rmse) }} 元</p>
<p>MAE: {{ formatNumber(trainingResult.best_model.mae) }} 美元</p>
<p>RMSE: {{ formatNumber(trainingResult.best_model.rmse) }} 美元</p>
</div>
<!-- 所有模型评估结果 -->
@ -80,12 +80,12 @@
{{ formatNumber(scope.row.train.r2) }}
</template>
</el-table-column>
<el-table-column prop="train.mae" label="MAE (元)" width="150">
<el-table-column prop="train.mae" label="MAE (美元)" width="150">
<template #default="scope">
{{ formatNumber(scope.row.train.mae) }}
</template>
</el-table-column>
<el-table-column prop="train.rmse" label="RMSE (元)" width="150">
<el-table-column prop="train.rmse" label="RMSE (美元)" width="150">
<template #default="scope">
{{ formatNumber(scope.row.train.rmse) }}
</template>
@ -99,12 +99,12 @@
{{ formatNumber(scope.row.validation.r2) }}
</template>
</el-table-column>
<el-table-column prop="validation.mae" label="MAE (元)" width="150">
<el-table-column prop="validation.mae" label="MAE (美元)" width="150">
<template #default="scope">
{{ formatNumber(scope.row.validation.mae) }}
</template>
</el-table-column>
<el-table-column prop="validation.rmse" label="RMSE (元)" width="150">
<el-table-column prop="validation.rmse" label="RMSE (美元)" width="150">
<template #default="scope">
{{ formatNumber(scope.row.validation.rmse) }}
</template>

78
src/manufacturer_data.sql Normal file
View File

@ -0,0 +1,78 @@
-- 插入供应商数据
INSERT INTO manufacturers (
name, -- 供应商名称
country, -- 所属国家
tech_level, -- 技术水平评分(1-10)
scale_level, -- 规模评分(1-10)
supply_chain_level -- 供应链成熟度评分(1-10)
) VALUES
-- 美国供应商
('美国洛克希德·马丁', '美国', 10, 10, 10), -- 全球最大军工企业
('美国 AeroVironment', '美国', 9, 8, 9), -- 无人机和导弹领域领先
('美国 Raytheon', '美国', 9, 9, 9), -- 导弹技术领先
('美国 AEVEX', '美国', 8, 7, 8), -- 新兴军工企业
('美国 AREA-I', '美国', 8, 7, 8), -- 专注无人机系统
('美国 Northrop Grumman', '美国', 9, 9, 9), -- 大型军工企业
-- 欧洲供应商
('英国 BAE Systems', '英国', 8, 9, 9), -- 欧洲最大军工企业
('英国 MBDA', '英国', 8, 8, 8), -- 导弹系统专家
('德国 KMW', '德国', 9, 8, 9), -- 陆军装备主要供应商
('德国 MBDA', '德国', 8, 8, 8), -- 导弹系统制造商
('德国 Rheinmetall', '德国', 8, 8, 8), -- 综合军工企业
('法国 Nexter', '法国', 8, 8, 8), -- 陆军装备制造商
('法国 MBDA', '法国', 8, 8, 8), -- 导弹系统制造商
('法国 Safran', '法国', 8, 8, 8), -- 航空航天企业
('意大利 Leonardo', '意大利', 7, 7, 7), -- 综合军工企业
('意大利 OTO Melara', '意大利', 7, 7, 7), -- 火炮系统制造商
-- 以色列供应商
('以色列军事工业', '以色列', 9, 7, 7), -- 技术先进
('以色列 IAI', '以色列', 9, 7, 7), -- 航空航天领先
('以色列 UVision', '以色列', 8, 6, 7), -- 无人机专家
-- 中国供应商
('中国兵器工业集团', '中国', 8, 9, 8), -- 陆军装备制造商
('中国航天科工', '中国', 8, 9, 8), -- 导弹制造商
-- 亚洲供应商
('韩国韩华防务', '韩国', 7, 7, 7), -- 韩国主要军工企业
('日本防卫装备厂', '日本', 7, 7, 7), -- 日本主要军工企业
-- 俄罗斯供应商
('俄罗斯', '俄罗斯', 7, 8, 6), -- 技术成熟但供应链受限
('俄罗斯 ZALA', '俄罗斯', 7, 6, 6), -- 无人机制造商
('俄罗斯 UZGA', '俄罗斯', 7, 6, 6), -- 航空设备制造商
-- 其他欧洲供应商
('波兰 WB Electronics', '波兰', 6, 6, 6), -- 电子系统制造商
('波兰 WB Group', '波兰', 6, 6, 6), -- 军工集团
('波兰胡塔斯塔洛瓦', '波兰', 6, 6, 6), -- 装备制造商
('瑞典 UMS Skeldar', '瑞典', 7, 6, 7), -- 无人机系统
('瑞典 Saab', '瑞典', 7, 7, 7), -- 综合军工企业
('捷克 RETIA', '捷克', 6, 5, 6), -- 电子系统制造商
('斯洛伐克 ZTS', '斯洛伐克', 5, 5, 5), -- 装备制造商
('捷克 Excalibur Army', '捷克', 6, 5, 6), -- 陆军装备制造商
('克罗地亚 RH ALAN', '克罗地亚', 5, 4, 5), -- 军工企业
('塞尔维亚 Yugoimport', '塞尔维亚', 5, 4, 5), -- 军工出口企业
('芬兰 Patria', '芬兰', 7, 6, 7), -- 装甲车辆制造商
('奥地利 Hirtenberger', '奥地利', 7, 6, 7), -- 火炮系统制造商
-- 其他供应商
('土耳其洛克特桑', '土耳其', 6, 6, 6), -- 新兴军工企业
('土耳其 STM', '土耳其', 6, 6, 6), -- 防务技术公司
('巴西航空工业', '巴西', 6, 6, 5), -- 南美最大军工企业
('印度DRDO', '印度', 5, 5, 5), -- 国防研究机构
('伊朗国防工业', '伊朗', 4, 4, 4), -- 受制裁影响
('埃及 AOI', '埃及', 4, 4, 4), -- 军工企业
('罗马尼亚 ROMARM', '罗马尼亚', 5, 4, 5), -- 国营军工企业
('乌克兰尤日马什', '乌克兰', 6, 5, 5), -- 航天企业
('白俄罗斯国家军工委员会', '白俄罗斯', 5, 5, 5), -- 国家军工管理机构
('阿联酋国际金龙', '阿联酋', 6, 6, 6), -- 新兴军工企业
('新加坡ST工程', '新加坡', 7, 6, 7); -- 技术领先的军工企业
-- 更新装备表中的供应商ID
UPDATE equipment e
SET manufacturer_id = m.id
FROM manufacturers m
WHERE e.manufacturer = m.name;

215
src/routes.py
View File

@ -149,7 +149,7 @@ def analyze_features():
cp.width_m,
cp.height_m,
cp.weight_kg,
cp.max_range_km,
rap.max_range_km,
rap.firing_angle_horizontal,
rap.firing_angle_vertical,
rap.rocket_length_m,
@ -191,7 +191,7 @@ def analyze_features():
cp.width_m,
cp.height_m,
cp.weight_kg,
cp.max_range_km,
lmp.max_range_km,
lmp.wingspan_m,
lmp.warhead_weight_kg,
lmp.max_speed_ms,
@ -390,7 +390,7 @@ def train_model():
# 准备训练数据
train_prepared = data_processor.prepare_training_data(train_data, equipment_type)
# 准备验证数据（如果有）
# 准备验数据（如果有）
validation_prepared = None
if validation_data:
validation_prepared = data_processor.prepare_validation_data(
@ -498,9 +498,11 @@ def get_equipment_data():
with get_db_connection() as conn:
cursor = conn.cursor(dictionary=True)
# 获取所有装备数据
# 获取所有装备数据(使用equipment_id替代id)
cursor.execute("""
SELECT e.*, cp.*, cd.actual_cost, cd.predicted_cost,
SELECT e.id as equipment_id, e.name, e.type,
cp.length_m, cp.width_m, cp.height_m, cp.weight_kg,
cd.actual_cost, cd.predicted_cost,
CASE
WHEN e.type = '火箭炮' THEN (
SELECT CONCAT(
@ -636,7 +638,7 @@ def pls_predict():
if 'type' not in data:
return jsonify({'error': 'Equipment type is required'}), 400
# 使用 ModelTrainer 中的 PLS 模型进行预测
# 使用 ModelTrainer 中的 PLS 模型行预测
trainer = ModelTrainer()
if not trainer.load_model(data['type'], model_type='pls'): # 指定加载 PLS 模型
return jsonify({'error': '未找到可用的模型'}), 404
@ -720,66 +722,100 @@ def import_data():
@api_bp.route('/data/<int:id>', methods=['PUT'])
def update_equipment(id):
"""
更新装备数据
"""
"""更新装备数据"""
try:
data = request.get_json()
logger.info(f"Updating equipment ID: {id}")
logger.info(f"Update data: {data}")
logger.info(f"Updating equipment with data: {data}")
with get_db_connection() as conn:
cursor = conn.cursor()
# 更新基本信息
# 使用 equipment_id 而不是 id
equipment_id = data.get('equipment_id')
if not equipment_id:
raise ValueError("Missing equipment_id")
# 更新装备基本信息
cursor.execute("""
UPDATE equipment
SET name = %s, manufacturer = %s
WHERE id = %s
""", (data['name'], data['manufacturer'], id))
logger.info("Basic info updated")
""", (data['name'], data['manufacturer'], equipment_id))
# 更新通用参数
cursor.execute("""
UPDATE common_params
SET length_m = %s, width_m = %s, height_m = %s,
weight_kg = %s, max_range_km = %s
SET length_m = %s, width_m = %s, height_m = %s, weight_kg = %s
WHERE equipment_id = %s
""", (
data['length_m'], data['width_m'], data['height_m'],
data['weight_kg'], data['max_range_km'], id
))
logger.info("Common params updated")
""", (data['length_m'], data['width_m'], data['height_m'], data['weight_kg'], equipment_id))
# 根据备类型更新特有参数
# 根据装备类型更新特有参数
if data['type'] == '火箭炮':
cursor.execute("""
UPDATE rocket_artillery_params
SET firing_angle_horizontal = %s, firing_angle_vertical = %s,
rocket_length_m = %s, rocket_diameter_mm = %s,
rocket_weight_kg = %s, rate_of_fire = %s
SET firing_angle_horizontal = %s,
firing_angle_vertical = %s,
rocket_length_m = %s,
rocket_diameter_mm = %s,
rocket_weight_kg = %s,
rate_of_fire = %s,
combat_weight_kg = %s,
speed_kmh = %s,
min_range_km = %s,
max_range_km = %s,
mobility_type = %s,
structure_layout = %s,
engine_model = %s,
engine_params = %s,
power_hp = %s,
travel_range_km = %s
WHERE equipment_id = %s
""", (
data['firing_angle_horizontal'], data['firing_angle_vertical'],
data['rocket_length_m'], data['rocket_diameter_mm'],
data['rocket_weight_kg'], data['rate_of_fire'], id
data['firing_angle_horizontal'],
data['firing_angle_vertical'],
data['rocket_length_m'],
data['rocket_diameter_mm'],
data['rocket_weight_kg'],
data['rate_of_fire'],
data['combat_weight_kg'],
data['speed_kmh'],
data['min_range_km'],
data['max_range_km'],
data['mobility_type'],
data['structure_layout'],
data['engine_model'],
data['engine_params'],
data['power_hp'],
data['travel_range_km'],
equipment_id
))
logger.info("Rocket artillery params updated")
else:
cursor.execute("""
UPDATE loitering_munition_params
SET max_speed_ms = %s, cruise_speed_kmh = %s,
flight_time_min = %s, warhead_type = %s,
launch_mode = %s, folded_length_mm = %s,
folded_width_mm = %s, folded_height_mm = %s
SET wingspan_m = %s,
warhead_weight_kg = %s,
max_speed_ms = %s,
cruise_speed_kmh = %s,
endurance_min = %s,
max_range_km = %s,
warhead_type = %s,
launch_mode = %s,
power_system = %s,
guidance_system = %s
WHERE equipment_id = %s
""", (
data['max_speed_ms'], data['cruise_speed_kmh'],
data['flight_time_min'], data['warhead_type'],
data['launch_mode'], data['folded_length_mm'],
data['folded_width_mm'], data['folded_height_mm'], id
data['wingspan_m'],
data['warhead_weight_kg'],
data['max_speed_ms'],
data['cruise_speed_kmh'],
data['endurance_min'],
data['max_range_km'],
data['warhead_type'],
data['launch_mode'],
data['power_system'],
data['guidance_system'],
equipment_id
))
logger.info("Missile params updated")
# 更新成本数据
if 'actual_cost' in data:
@ -787,23 +823,9 @@ def update_equipment(id):
UPDATE cost_data
SET actual_cost = %s
WHERE equipment_id = %s
""", (data['actual_cost'], id))
logger.info("Cost data updated")
# 更新特殊参数
if 'custom_params' in data and data['custom_params']:
logger.info(f"Updating custom params: {data['custom_params']}")
for param in data['custom_params']:
cursor.execute("""
UPDATE custom_params
SET param_value = %s
WHERE id = %s AND equipment_id = %s
""", (param['param_value'], param['id'], id))
logger.info("Custom params updated")
""", (data['actual_cost'], equipment_id))
conn.commit()
logger.info("All updates committed successfully")
return jsonify({'success': True})
except Exception as e:
@ -820,7 +842,7 @@ def get_equipment_details(id):
with get_db_connection() as conn:
cursor = conn.cursor(dictionary=True)
# 获取装备基本信息和类型
# 获取装备基本信息类型
cursor.execute("""
SELECT e.*, cp.*, cd.actual_cost, cd.predicted_cost
FROM equipment e
@ -919,9 +941,10 @@ def get_dataset(id):
if not dataset:
return jsonify({'error': 'Dataset not found'}), 404
# 获取数据集中的装备
# 获取数据集中的装备 - 修改查询，确保返回正确的ID
cursor.execute("""
SELECT e.*, cd.actual_cost
SELECT e.id as equipment_id, e.name, e.type, e.manufacturer,
cd.actual_cost
FROM equipment e
JOIN dataset_equipment de ON e.id = de.equipment_id
LEFT JOIN cost_data cd ON e.id = cd.equipment_id
@ -953,66 +976,108 @@ def get_dataset(id):
@api_bp.route('/datasets', methods=['POST'])
def create_dataset():
"""
建数据集
"""
"""创建数据集"""
try:
data = request.get_json()
logger.info(f"Creating dataset with data: {data}")
with get_db_connection() as conn:
cursor = conn.cursor()
# 创建数据集
# 1. 验证装备ID是否存在
if 'equipment_ids' in data and data['equipment_ids']:
# 直接从 equipment 表查询，不需要 JOIN
equipment_ids_str = ','.join(map(str, data['equipment_ids']))
cursor.execute(f"""
SELECT DISTINCT id FROM equipment
WHERE id IN ({equipment_ids_str}) AND type = %s
""", (data['equipment_type'],))
valid_ids = [row[0] for row in cursor.fetchall()]
logger.info(f"Valid equipment IDs: {valid_ids}")
# 如果有无效的ID，返回错误
invalid_ids = set(data['equipment_ids']) - set(valid_ids)
if invalid_ids:
logger.error(f"Invalid equipment IDs: {invalid_ids}")
return jsonify({'error': f'无效的装备ID: {invalid_ids}'}), 400
# 2. 创建数据集
cursor.execute("""
INSERT INTO datasets (name, description, equipment_type, purpose)
VALUES (%s, %s, %s, %s)
""", (data['name'], data['description'], data['equipment_type'], data['purpose']))
dataset_id = cursor.lastrowid
logger.info(f"Created dataset with ID: {dataset_id}")
# 添加装备关联
# 3. 添加装备关联
if 'equipment_ids' in data and data['equipment_ids']:
values = [(dataset_id, equipment_id) for equipment_id in data['equipment_ids']]
values = [(dataset_id, equipment_id) for equipment_id in valid_ids]
cursor.executemany("""
INSERT INTO dataset_equipment (dataset_id, equipment_id)
VALUES (%s, %s)
""", values)
logger.info(f"Added {len(values)} equipment associations")
conn.commit()
return jsonify({'id': dataset_id, 'message': '数据集创建成功'})
except Exception as e:
logger.error(f"Error creating dataset: {str(e)}")
return jsonify({'error': str(e)}), 500
@api_bp.route('/datasets/<int:id>', methods=['PUT'])
def update_dataset(id):
"""
更新数据集
"""
"""更新数据集"""
try:
data = request.get_json()
logger.info(f"Updating dataset {id} with data: {data}")
with get_db_connection() as conn:
cursor = conn.cursor()
# 更新数据集基本信息
# 1. 验证装备ID是否存在
if 'equipment_ids' in data:
equipment_ids_str = ','.join(map(str, data['equipment_ids']))
cursor.execute(f"""
SELECT id FROM equipment
WHERE id IN ({equipment_ids_str}) AND type = %s
""", (data['equipment_type'],))
valid_ids = [row[0] for row in cursor.fetchall()]
logger.info(f"Valid equipment IDs: {valid_ids}")
# 如果有无效的ID，返回错误
invalid_ids = set(data['equipment_ids']) - set(valid_ids)
if invalid_ids:
logger.error(f"Invalid equipment IDs: {invalid_ids}")
return jsonify({'error': f'无效的装备ID: {invalid_ids}'}), 400
# 2. 更新数据集基本信息
cursor.execute("""
UPDATE datasets
SET name = %s, description = %s, equipment_type = %s, purpose = %s
WHERE id = %s
""", (data['name'], data['description'], data['equipment_type'], data['purpose'], id))
# 删除旧的装备关联
cursor.execute("DELETE FROM dataset_equipment WHERE dataset_id = %s", (id,))
# 加新的装备关<E5A487><E585B3><EFBFBD>
# 3. 更新装备关联
if 'equipment_ids' in data:
for equipment_id in data['equipment_ids']:
cursor.execute("""
# 先删除旧的关联
cursor.execute("DELETE FROM dataset_equipment WHERE dataset_id = %s", (id,))
# 添加新的关联
if valid_ids: # 确保有有效的ID才执行插入
values = [(id, equipment_id) for equipment_id in valid_ids]
cursor.executemany("""
INSERT INTO dataset_equipment (dataset_id, equipment_id)
VALUES (%s, %s)
""", (id, equipment_id))
""", values)
logger.info(f"Updated {len(values)} equipment associations")
conn.commit()
return jsonify({'success': True})
except Exception as e:
logger.error(f"Error updating dataset: {str(e)}")
return jsonify({'error': str(e)}), 500
@ -1153,7 +1218,7 @@ def delete_model(id):
if not model:
return jsonify({'error': 'Model not found'}), 404
# 删除模型文件
# 删除模型件
if os.path.exists(model[0]):
os.remove(model[0])
if os.path.exists(model[1]):
@ -1172,7 +1237,7 @@ def delete_model(id):
@api_bp.route('/predict/all', methods=['POST'])
def predict_all():
"""
获取所有机器学习模型的预测结果
获取所有机学习模型的预测结果
"""
try:
data = request.get_json()