108 lines
3.4 KiB
Python
108 lines
3.4 KiB
Python
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import random
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import time
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from app.utils.LanguageUtils import LANG_UI_DICT
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import collections
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def buildPageLabels(page, page_num, lang='zh'):
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"""
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:param page: 当前页面
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:param page_num: 总页数
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:param lang: 语言代码，默认 'zh'
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:return:
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返回式例：
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[{'page': 1, 'name': 1, 'cur': True}, {'page': 2, 'name': 2, 'cur': False}, {'page': 2, 'name': '下一页'}]
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"""
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T = LANG_UI_DICT.get(lang, LANG_UI_DICT['zh'])
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label_first = T.get('perm_first_page', '首页')
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label_prev = T.get('perm_prev_page', '上一页')
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label_next = T.get('perm_next_page', '下一页')
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label_last = T.get('perm_last_page', '尾页')
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pageLabels = []
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if page > 1:
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pageLabels.append({
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"page": 1,
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"name": label_first
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})
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pageLabels.append({
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"page": page - 1, # 当前页点击时候触发的页数
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"name": label_prev
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})
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if page == 1:
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pageArray = [1, 2, 3, 4]
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else:
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pageArray = list(range(page - 1, page + 3)) # page-1,page,page+1,page+2
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for p in pageArray:
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if p <= page_num:
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if page == p:
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cur = 1
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else:
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cur = 0
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pageLabels.append({
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"page": p,
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"name": p,
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"cur": cur
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})
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if page + 1 <= page_num:
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pageLabels.append({
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"page": page + 1,
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"name": label_next
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})
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if page_num > 0:
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pageLabels.append({
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"page": page_num,
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"name": label_last
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})
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return pageLabels
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def group_by_field(data, field):
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"""
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根据数据项中的field参数将一维列表分组为二维列表
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Args:
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data: list of dicts, 一维数据结构，每个数据项为字典，包含field键
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Returns:
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list of lists: 二维数据结构，每个子列表包含相同field的数据项
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"""
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grouped_dict = collections.defaultdict(list)
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for item in data:
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# 获取stream_name作为分组键
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value = item.get(field)
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grouped_dict[value].append(item)
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# 将字典中的值转换为二维列表
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return list(grouped_dict.values())
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class GB28181CodeUtils:
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def __init__(self, default_area_code="34020000", default_industry="13"):
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"""
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初始化生成器
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:param default_area_code: 默认行政区划码 (8位)
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:param default_industry: 默认行业编码 (2位)
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"""
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self.default_area_code = default_area_code
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self.default_industry = default_industry
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def generate_by_time(self, area_code=None):
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"""
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基于当前时间生成编号（常用于流水号场景）
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格式：行政区(8) + 行业(2) + 年月日时分秒(10) + 随机(0-9)
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注意：这种格式总长度也是20位，但逻辑不同
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"""
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area = area_code if area_code else self.default_area_code
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# 截取时间的后10位数字作为序列号的一部分
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time_str = time.strftime("%y%m%d%H%M%S") # 12位，取后10位或者做处理
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# 使用毫秒时间戳的后4位 + 3位随机数作为序列号，确保快速连续调用也不重复
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ms_part = f"{int(time.time() * 1000) % 10000:04d}"
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rand_part = f"{random.randint(0, 999):03d}"
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serial = ms_part + rand_part
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return f"{area}{self.default_industry}200{serial}"
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