54 lines
2.7 KiB
Python
54 lines
2.7 KiB
Python
# -*- coding: utf-8 -*-
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import base64
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from odoo import models, fields, api, exceptions, _, tools
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class HrEmployee(models.Model):
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_inherit = "hr.employee"
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_description = "考勤机和用户信息的绑定"
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attendance_iot_ids = fields.One2many('attendance.iot.user', 'employee_id', string="考勤机信息")
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# 图片需要压缩
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# 1、下发的人脸图片压缩成 jpg 格式，大小不超过 300 kb ( 尺寸不超过 1280 * 720 ) ，我们正常是 50 kb 左右
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# 2、把压缩后的图片转换成完整的 Base64 格式（必须加上前缀 “data:image/jpeg;base64,”）
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# 3、把完整的 Base64 图片使用 UrlEncode 方法进行 UTF-8 格式的编码。
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avatar_image = fields.Image(string='头像')
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compress_image = fields.Image(string='压缩后的图片', compute='_compute_compress_image')
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@api.depends('avatar_image', 'image_1920')
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def _compute_compress_image(self):
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for record in self:
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# 优先用 avatar_image（设备上传的），没有则用 image_1920（表单上传的）
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source = record.avatar_image or record.image_1920
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if source:
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origin_300 = 400 * 1024
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if len(source) < origin_300:
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record.compress_image = source
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else:
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image = base64.b64decode(source)
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compress_image = tools.image_process(image, size=(1280, 720),
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output_format='JPEG', verify_resolution=True)
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if len(compress_image) <= origin_300:
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record.compress_image = base64.b64encode(compress_image)
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else:
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quality = 95
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image_value = tools.image_process(image, size=(1280, 720), output_format='JPEG',
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quality=quality, verify_resolution=True)
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while quality > 10 and len(image_value) > origin_300:
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image_value = tools.image_process(base64.b64decode(image), size=(1280, 720), output_format='JPEG',
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quality=quality, verify_resolution=True)
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quality -= 5
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record.compress_image = base64.b64encode(image_value)
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else:
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record.compress_image = False
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def write(self, values):
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res = super(HrEmployee,self).write(values)
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# 更新数据 - 只要姓名或任意照片字段有变化就同步
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if 'name' in values or 'avatar_image' in values or 'image_1920' in values:
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self.attendance_iot_ids.action_update_iot_info()
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return res
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