初始化默认服务器

This commit is contained in:
2023-07-02 04:22:24 +08:00
parent 6c4cd0cb92
commit 4afb719d13
3 changed files with 165 additions and 98 deletions

View File

@@ -11,10 +11,10 @@ import (
"net/url"
"os"
"path/filepath"
"strconv"
"time"
"encoding/base64"
"encoding/json"
"image/png"
"github.com/chai2010/webp"
@@ -24,6 +24,7 @@ import (
type Model struct {
ID int `json:"id" gorm:"primary_key"` // 模型ID
Name string `json:"name"` // 模型名稱
ModelCheckpoint string `json:"model_checkpoint"` // 模型檢查點
Info string `json:"info"` // 模型描述
Type string `json:"type"` // 模型類型(lora|ckp|hyper|ti)
TriggerWords string `json:"trigger_words"` // 觸發詞
@@ -32,7 +33,7 @@ type Model struct {
Status string `json:"status" default:"initial"` // (initial|ready|waiting|running|success|error)
Progress int `json:"progress"` // (0-100)
Image string `json:"image"` // 封面圖片實際地址
Hash string `json:"hash"` // 模型哈希值
Hash string `json:"hash"` // 模型哈希值(sha256)
Epochs int `json:"epochs"` // 訓練步數
LearningRate float32 `json:"learning_rate"` // 學習率(0.000005)
Tags TagList `json:"tags"` // 模型標籤(標籤名數組)
@@ -51,6 +52,10 @@ func init() {
log.Println(err)
}
}
// 清除所有hash长度小于32的模型
configs.ORMDB().Where("length(hash) < 32").Delete(&Model{})
// 清除所有type为空的模型
configs.ORMDB().Where("type = ?", "").Delete(&Model{})
}
// 从数据库加载
@@ -66,16 +71,15 @@ func (model *Model) Inference(image_list []Image, callback func(Image)) {
if model.ServerID == "" {
log.Println("模型未部署到推理機, 开始部署模型")
// 寻找一台就绪的推理机, 且已部署模型目标模型
if err := configs.ORMDB().Where("type = ?", "推理").Where("status = ?", "就绪").Where("models LIKE ?", "%"+strconv.Itoa(model.ID)+"%").First(&server).Error; err != nil {
// 寻找一台就绪的推理机, 且模型位置仍有空余
// 寻找一台就绪的且模型位置仍有空余的推理机
if err := configs.ORMDB().Where("type = ?", "推理").Where("status = ?", "就绪").Where("length(models) < ?", 5).First(&server).Error; err != nil {
log.Println("创建一台新的推理机: 当前禁止创建新服务器")
return
}
// 上传目标模型到推理机
log.Println("上传模型到推理机: 当前禁止上传模型")
}
// 打印为格式化的json
data, _ := json.MarshalIndent(server, "", " ")
fmt.Println(string(data))
//var form = struct {
// Components []struct {
@@ -106,7 +110,7 @@ func (model *Model) Inference(image_list []Image, callback func(Image)) {
//}
// 记录到推理机
server.Models = append(server.Models, strconv.Itoa(model.ID))
server.Models = append(server.Models, model.ID)
configs.ORMDB().Save(&server)
// 记录到模型

View File

@@ -18,7 +18,7 @@ import (
cvm "github.com/tencentcloud/tencentcloud-sdk-go/tencentcloud/cvm/v20170312"
)
type ModelList []string
type ModelList []int
func (list *ModelList) Scan(value interface{}) error {
return json.Unmarshal(value.([]byte), list)
@@ -75,9 +75,62 @@ func init() {
// 检查默认服务器是否存在, 不存在则添加
func InitDefaultServer() (err error) {
if err = configs.ORMDB().Where("id = ?", "default").First(&Server{}).Error; err != nil {
server := Server{ID: "default", IP: "106.15.192.42", Port: 7860, Type: "推理", Status: "就绪"}
err = configs.ORMDB().Create(&server).Error
var server Server
if err = configs.ORMDB().Where("id = ?", "default").First(&server).Error; err != nil {
server = Server{ID: "default", IP: "106.15.192.42", Port: 7860, Type: "推理", Status: "就绪"}
if err = configs.ORMDB().Create(&server).Error; err != nil {
return fmt.Errorf("创建默认服务器失败: %v", err)
}
}
// 初始化服务器中的模型列表
if err = server.InitModels(); err != nil {
return fmt.Errorf("初始化服务器中的模型列表失败: %v", err)
}
return
}
// 初始化服务器中的模型列表
func (server *Server) InitModels() (err error) {
// 获取服务器中的模型列表
resp, err := http.Get(fmt.Sprintf("http://%s:%d/sdapi/v1/sd-models", server.IP, server.Port))
if err != nil {
return fmt.Errorf("获取服务器中的模型列表失败: %v", err)
}
defer resp.Body.Close()
// 解码JSON (数组)
var data []map[string]interface{}
if err := json.NewDecoder(resp.Body).Decode(&data); err != nil {
return err
}
// 从数据库检查此模型hash是否存在
for _, item := range data {
var model Model
if err := configs.ORMDB().Where("hash = ?", item["sha256"].(string)).First(&model).Error; err != nil {
// 不存在则添加
model = Model{
Name: item["model_name"].(string),
Hash: item["sha256"].(string),
ModelCheckpoint: item["title"].(string),
ModelPath: item["filename"].(string), // TODO: 下载到本地
ServerID: server.ID,
Type: "ckp",
}
// TODO: 下载到本地
// 添加到数据库
if err := configs.ORMDB().Create(&model).Error; err != nil {
return fmt.Errorf("添加模型到数据库失败: %v", err)
}
// 添加到模型列表
server.Models = append(server.Models, model.ID)
}
}
// 更新数据库
if err := configs.ORMDB().Save(&server).Error; err != nil {
return fmt.Errorf("更新数据库失败: %v", err)
}
return
}

136
test.sh
View File

@@ -47,73 +47,83 @@ message "$response" "登錄"
session_id=$(echo "$response" | head -n -1 | grep -o '"id": "[^"]*' | cut -d '"' -f 4)
#echo "session_id: $session_id"
# 获取模型列表
response=$(curl -X GET -H "Content-Type: application/json" -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/models)
message "$response" "模型列表" true
# 上傳圖片 (POST /api/images)
response=$(curl -X POST -H "Content-Type: multipart/form-data" -F "file=@./data/test.jpeg" -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/images)
message "$response" "上傳圖片" true
# 臨時退出
exit_service "測試結束, 全部通過, 用費時間: $(($(date +%s) - $start_time))"
# 創建數據集, 應當在cookie中攜帶session_id (POST /api/datasets)
response=$(curl -X POST -H "Content-Type: application/json" -d '{"name":"test","description":"test"}' -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/datasets)
message "$response" "創建數據集"
# 取數據集id的值, 值爲 int
dataset_id=$(echo "${response%???}" | grep -o '"id": [0-9]*' | awk '{print $2}')
#echo "dataset_id: $dataset_id"
# 獲取數據集列表 (GET /api/datasets)
response=$(curl -X GET -H "Content-Type: application/json" -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/datasets)
message "$response" "數據集列表"
# 修改數據集, images 中增加 url (PATCH /api/datasets/:id)
response=$(curl -X PATCH -H "Content-Type: application/json" -d '{"images":["https://img.gameui.net/article-7258-1677745322000@1x456.webp","https://img.gameui.net/article-6477-1682109454000@1x456.webp"]}' -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/datasets/$dataset_id)
message "$response" "修改數據集"
# 添加服務器 (POST /api/servers)
response=$(curl -X POST -H "Content-Type: application/json" -d '{"name":"GPU-T4","type":"訓練","ip":"106.15.192.42","port":7860}' -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/servers)
message "$response" "添加服務器"
# 服務器列表
response=$(curl -X GET -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/servers)
message "$response" "服務器列表"
# 創建模型訓練任務 (POST /api/models)
response=$(curl -X POST -H "Content-Type: application/json" -d '{"name":"test","type":"dreambooth","trigger_words":"miao~","base_model":"sd1.5","epochs":20,"description":"test","dataset_id":'$dataset_id'}' -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/models)
message "$response" "創建模型訓練任務" true
# 取模型id的值, 值爲 int
# 使用第一个模型的id, 执行推理生成图像
model_id=$(echo "${response%???}" | grep -o '"id": [0-9]*' | awk '{print $2}')
#echo "model_id: $model_id"
echo "model_id: $model_id"
response=$(curl -X POST -H "Content-Type: application/json" -d '{"model_id":'$model_id',"text":"miao~"}' -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/images)
message "$response" "推理生成图像" true
## 上傳圖片 (POST /api/images)
#response=$(curl -X POST -H "Content-Type: multipart/form-data" -F "file=@./data/test.jpeg" -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/images)
#message "$response" "上傳圖片"
#
## 臨時退出
##exit_service "測試結束, 全部通過, 用費時間: $(($(date +%s) - $start_time)) 秒"
#
## 創建數據集, 應當在cookie中攜帶session_id (POST /api/datasets)
#response=$(curl -X POST -H "Content-Type: application/json" -d '{"name":"test","description":"test"}' -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/datasets)
#message "$response" "創建數據集"
#
#
## 取數據集id的值, 值爲 int
#dataset_id=$(echo "${response%???}" | grep -o '"id": [0-9]*' | awk '{print $2}')
##echo "dataset_id: $dataset_id"
#
#
## 獲取數據集列表 (GET /api/datasets)
#response=$(curl -X GET -H "Content-Type: application/json" -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/datasets)
#message "$response" "數據集列表"
#
#
## 修改數據集, images 中增加 url (PATCH /api/datasets/:id)
#response=$(curl -X PATCH -H "Content-Type: application/json" -d '{"images":["https://img.gameui.net/article-7258-1677745322000@1x456.webp","https://img.gameui.net/article-6477-1682109454000@1x456.webp"]}' -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/datasets/$dataset_id)
#message "$response" "修改數據集"
# 循環獲取模型訓練進度, 直到訓練完成
while true; do
# 獲取模型訓練進度 (GET /api/models/:id)
response=$(curl -X GET -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/models/$model_id)
progress=$(echo "${response%???}" | grep -o '"progress": [0-9]*' | awk '{print $2}')
status=$(echo "${response%???}" | grep -o '"status": "[^"]*' | cut -d '"' -f 4)
message "$response" "獲取模型訓練進度 $progress% $status"
# 如果進度爲 100, 訓練完成, 跳出循環
[[ $progress -eq 100 ]] && { echo "訓練完成"; break; }
# 測試訓練時間不超過10秒, 超過則退出
[[ $(($(date +%s) - $start_time)) -gt 10 ]] && exit_service "訓練時間超過20秒"
# 休眠 3 秒
sleep 3
done
## 模型列表 (GET /api/models)
#response=$(curl -X GET -H "Content-Type: application/json" -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/models)
#message "$response" "模型列表"
## 添加服務器 (POST /api/servers)
#response=$(curl -X POST -H "Content-Type: application/json" -d '{"name":"GPU-T4","type":"訓練","ip":"106.15.192.42","port":7860}' -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/servers)
#message "$response" "添加服務器"
#
#
## 服務器列表
#response=$(curl -X GET -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/servers)
#message "$response" "服務器列表"
#
#
## 創建模型訓練任務 (POST /api/models)
#response=$(curl -X POST -H "Content-Type: application/json" -d '{"name":"test","type":"dreambooth","trigger_words":"miao~","base_model":"sd1.5","epochs":20,"description":"test","dataset_id":'$dataset_id'}' -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/models)
#message "$response" "創建模型訓練任務" true
#
#
## 取模型id的值, 值爲 int
#model_id=$(echo "${response%???}" | grep -o '"id": [0-9]*' | awk '{print $2}')
##echo "model_id: $model_id"
#
#
## 循環獲取模型訓練進度, 直到訓練完成
#while true; do
# # 獲取模型訓練進度 (GET /api/models/:id)
# response=$(curl -X GET -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/models/$model_id)
# progress=$(echo "${response%???}" | grep -o '"progress": [0-9]*' | awk '{print $2}')
# status=$(echo "${response%???}" | grep -o '"status": "[^"]*' | cut -d '"' -f 4)
# message "$response" "獲取模型訓練進度 $progress% $status"
# # 如果進度爲 100, 訓練完成, 跳出循環
# [[ $progress -eq 100 ]] && { echo "訓練完成"; break; }
# # 測試訓練時間不超過10秒, 超過則退出
# [[ $(($(date +%s) - $start_time)) -gt 10 ]] && exit_service "訓練時間超過20秒"
# # 休眠 3 秒
# sleep 3
#done
#
#
### 模型列表 (GET /api/models)
##response=$(curl -X GET -H "Content-Type: application/json" -b "session_id=$session_id" -s -w "%{http_code}" http://localhost:8080/api/models)
##message "$response" "模型列表"
exit_service "測試結束, 全部通過, 用費時間: $(($(date +%s) - $start_time))"