colomi
0eb61f3e60
包含： - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义 大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除， 由网盘单独上传。
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
import requests
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import json
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callback_hairstyle_url = "https://puton.meidaojia.com/api/cloth/callBack"
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def callback_color(color_id, cover_img, success):
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url = "http://172.21.0.3:8080/ydapp/system/platform/complete_color_model"
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payload = json.dumps({
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"success": success,
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"colorId": color_id,
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"coverImg": cover_img
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})
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headers = {
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'X-MZ-API-TOKEN': '98bcf37c942a2240ba2d907c96ed1137',
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'Content-Type': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload)
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return response
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# print(response.text)
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def callback_hairstyle(req_id, state, message, clothId):
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url = callback_hairstyle_url
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payload = json.dumps({
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"taskId": req_id,
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"status": state,
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"clothId": clothId,
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"msg": message
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})
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status = -1
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print(f"url:{url},complete_hair_model payload:{payload}")
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headers = {
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'X-MZ-API-TOKEN': '98bcf37c942a2240ba2d907c96ed1137',
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'Content-Type': 'application/json'
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}
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try:
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response = requests.request("POST", url, headers=headers, data=payload)
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print("response:", response.text)
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status = 0
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except Exception as e:
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print(e)
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return response.text, status
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