380 lines
9.3 KiB
Python
380 lines
9.3 KiB
Python
import json
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import yaml
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from ahserver.serverenv import ServerEnv
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from ahserver.filestorage import FileStorage
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from sqlor.dbpools import DBPools, get_sor_context
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from appPublic.log import debug, exception
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from appPublic.dictObject import DictObject
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from .write_pattern import write_pattern_xlsx, load_xlsx_pricing
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import yaml
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"""
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采用yaml描述定价策略，
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在pricing_program的pricing_spec表中定义定价的数据字段
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遵循一下规格：
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字典结构，key是字段名，需定义字段的type(类型)，label(标题)，value_mode(值方式)（可选），options(可选项)（可选）
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必须要有一个price字段，其type: float
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value_mode 有下列可能的取值
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between # 定价表中此字段以如此格式给出:
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# "小值 ~ 大值", "~"的前面或后面可以加"="，
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# 表示含小值，或含大值
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in # 定价表中此字段值有如下格式：值1 值2 ...
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= # 缺省，给定单一值
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> #
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>=
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<
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<=
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例子（vidu定价字段）：
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'''
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model:
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type: str
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label: "模型"
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options:
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- "viduq3-pro"
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- "viduq3-turbo"
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resolution:
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type: str
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label: "分辨率"
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options:
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- "1024p"
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- "720p"
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- "540p"
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duration:
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type: int # 建议改为 int 或 str，times 不是标准类型
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label: "时长"
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# 如果时长也有选项，需要补全，例如:
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# options:
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# - 5
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# - 10
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off_peak:
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type: int # 建议改为 int 或 str，因为值是 0 和 1
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label: "错峰执行"
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options:
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- off_peak # 正常时段
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- normal # 错峰
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price:
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type: float
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label: 单价
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'''
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pricing_program_timing表中的pricing_data字段的数据是一个只有一个属性"pricings"的字典
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其值为定价条目列表，每个定价条目是个字典，key值为pricing_spec字段定义的字段，
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pricings:
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- resolution: 480p
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duration: 4
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audio: false
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- resolution: 480p
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duration: 8
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audio: false
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- resolution: 480p
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duration: 12
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audio: false
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- resolution: 480p
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duration: 4
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audio: true
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- resolution: 480p
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duration: 8
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audio: true
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- resolution: 480p
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duration: 12
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audio: true
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- resolution: 720p
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duration: 4
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audio: false
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- resolution: 720p
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duration: 8
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audio: false
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- resolution: 720p
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duration: 12
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audio: false
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- resolution: 720p
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duration: 4
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audio: true
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- resolution: 720p
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duration: 8
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audio: true
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- resolution: 720p
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duration: 12
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audio: true
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"""
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typefuncs = {
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'int': int,
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'float': float
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}
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def typevalue(v, t):
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f = typefuncs.get(t)
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if not f:
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return v
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return f(v)
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def check_value(field, spec_value, data_value):
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if field.value_mode == 'between':
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arr = spec_value.split(' ')
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if len(arr) < 2 or len(arr) > 3:
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e = f'{spec_value=} error'
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exception(e)
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raise Exception(e)
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if (arr[0] is None or arr[-1] is None) and field.type == 'str':
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e = f'字符串类型between方法的两个值任何一个都不能为空'
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exception(e)
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raise e
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else:
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if arr[0] is None:
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arr[0] = -float('inf')
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if arr[-1] is None:
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arr[-1] = float('inf')
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if len(arr) == 2 or arr[1] == '=~' :
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return arr[0] <= data_value and data_value < arr[-1]
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if arr[1] == '~':
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return arr[0] < data_value and data_value < arr[-1]
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if arr[1] == '~=':
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return arr[0] < data_value and data_value <= arr[-1]
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e = f'{arr[1]}不认识的期间逻辑,只支持：~ =~ ~='
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exception(e)
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raise Exception(e)
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if field.value_mode == 'in':
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arr = spec_value.split(' ')
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arr = [ typevalue(a, field.type) for a in arr ]
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# debug(f'{arr=}, {data_value=}')
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return data_value in arr
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mode = field.value_mode
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if not mode or mode == '=':
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mode = '=='
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ns = {
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"a": data_value,
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"b": typevalue(spec_value, field.type)
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}
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script = f'a {mode} b'
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x = eval(script, ns)
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return x
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class PricingProgram:
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@staticmethod
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async def get_pricing_program(ppid):
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env = ServerEnv()
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async with get_sor_context(env, 'pricing') as sor:
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recs = await sor.R('pricing_program', {'id': ppid})
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if recs:
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return recs[0]
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e = f'pricing_program(id={ppid}) not found'
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raise e
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e = f'read pricing_program(id={ppid}) failed'
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raise e
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@staticmethod
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async def load_pricing_data(pptid, webpath_xlsx):
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env = ServerEnv()
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fs = FileStorage()
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fp = fs.realPath(webpath_xlsx)
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pricings = load_xlsx_pricing(fp)
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async with get_sor_context(env, 'pricing') as sor:
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ppts = await sor.R('pricing_program_timing', {'id': pptid})
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if ppts:
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ppt = ppts[0]
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pps = await sor.R('pricing_program', {'id': ppt.ppid})
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if not pps:
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e = f'pricing_program({pptid}) can not find pricing_program'
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exception(f)
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pp = pps[0]
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pp_spec = yaml.safe_load(pp.pricing_spec)
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formula = None
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if pp_spec.get('fields'):
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fields = pp_spec.get('fields')
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pricing_formula = pp_spec.get('formula')
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else:
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fields = pp_spec
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newpricings = []
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for p in pricings:
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np = {}
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for k,v in p.items():
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for fk, fv in fields.items():
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if k == fv['label']:
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np.update({fk:v})
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newpricings.append(np)
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d = {
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'fields': fields,
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'formula': formula,
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'pricings': newpricings
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}
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debug(f'{d=}')
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ppt.pricing_data = yaml.dump(d, allow_unicode=True)
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await sor.U('pricing_program_timing', {
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'id': ppt.id,
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'pricing_data': ppt.pricing_data
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})
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return True
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e = f'pricing_program_timing(id={pptid}) not found'
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exception(e)
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raise Exception(e)
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e = f'pricing_program_timing(id={pptid}) read failed'
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exception(e)
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raise e
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@staticmethod
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async def write_pricing_patten(request, ppid):
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async with get_sor_context(request._run_ns, 'pricing') as sor:
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env = request._run_ns
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recs = await sor.R('pricing_program', {'id': ppid})
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if not recs:
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debug(f'id={ppid} pricing_program not found')
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r = recs[0]
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x = DictObject(** yaml.safe_load(r.pricing_spec))
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fields = x
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if x.get('fields'):
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fields = x['fields']
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fpath = write_pattern_xlsx(r.name, fields)
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return fpath
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@staticmethod
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def pp_db2app(pp):
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try:
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pp.pricing_spec = yaml.safe_load(pp.pricing_spec)
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except Exception as e:
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e = f'{pp.pricing_spec}:yaml数据格式错误'
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exception(e)
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raise Exception(e)
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@staticmethod
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def pp_app2db(pp):
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try:
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pp.pricing_spec = yaml.dump(pp.pricing_spec, allow_unicode=True)
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except Exception as e:
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e = f'{pp.pricing_spec}:导出到yaml失败'
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exception(e)
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raise Exception(e)
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@staticmethod
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def ppt_db2app(ppt):
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try:
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ppt.pricing_data = yaml.safe_load(ppt.pricing_data)
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except Exception as e:
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e = f'{ppt.pricing_data}:yaml数据格式错误'
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exception(e)
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raise Exception(e)
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@staticmethod
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def ppt_app2db(ppt):
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try:
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ppt.pricing_data = yaml.dump(ppt.pricing_data, allow_unicode=True)
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except Exception as e:
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e = f'{ppt.pricing_data}:yaml数据格式错误'
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exception(e)
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raise Exception(e)
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async def charging(sor, ppid, data):
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env = ServerEnv()
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biz_date = await env.get_business_date(sor)
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sql = """select a.name, a.ownerid, a.providerid,
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pricing_belong, discount, b.pricing_data
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from pricing_program a, pricing_program_timing b
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where a.id = b.ppid
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and a.id = ${ppid}$
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and b.enabled_date <= ${biz_date}$
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and b.expired_date > ${biz_date}$
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order by b.enabled_date desc"""
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recs = await sor.sqlExe(sql, {
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'ppid': ppid,
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'biz_date': biz_date
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})
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if recs:
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r = recs[0]
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r.prices = PricingProgram.get_pricing_from_ymalstr(data,
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r.pricing_data)
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debug(f'{r.prices=}')
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amt = 0.0
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for p in r.prices:
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p.cost = p.amount * r.discount
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return r.prices
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@staticmethod
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def get_pricing_from_ymalstr(config_data, yamlstr):
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"""
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yamlstr是从
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"""
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d = None
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try:
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d = yaml.safe_load(yamlstr)
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except Exception as e:
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exception(f'yaml.sage_load({yamlstr}) error: {e}')
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raise e
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d = DictObject(**d)
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if not d.fields:
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exception(f'{d} has not "fields"')
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raise Exception(f'定价定义中没有fields数据')
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if not d.pricings:
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exception(f'{d} has not "pricings"')
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raise Exception(f'定价定义中没有pricing数据')
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formula = d.formula
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ret_items = []
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for i, p in enumerate(d.pricings):
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if not p.formula:
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debug(f'无公式：{p=}')
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continue
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p_ok = True
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times = 1
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unit = 1
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ns = DictObject()
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for k, f in d.fields.items():
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if f.type == 'factor':
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try:
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ns[k] = float(config_data.get(k))
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except Exception as e:
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exception(f'{k=}, {f=}, {config_data=}, {e=}')
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raise e
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for k,spec_value in p.items():
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if spec_value is None:
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continue
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if k == 'formula':
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continue
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f = d.fields.get(k)
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if not f:
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e = f'定价项({i})中的{k}在fields中没有定义'
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exception(f'{e}')
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raise Exception(e)
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data_value = config_data.get(k)
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if data_value is None:
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e = f'数据({config_data})没有({k})数据'
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exception(e)
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raise Exception(e)
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else:
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try:
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flg = check_value(f, spec_value, data_value)
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if not flg:
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# 条件不满足
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# debug(f'条件不满足:{p=},{spec_value=}, {data_value=}, {k=}')
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p_ok = False
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break
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except Exception as e:
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msg = f'{p=},{f}: {spec_value=}, {data_value=}'
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exception(f'{e}:{msg}')
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break
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if p_ok and p.formula:
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np = p.copy()
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formula = p.formula
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if not formula:
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e = f'{p} not formula found'
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exception(e)
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raise Exception(e)
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debug(f'{formula=}, {ns=}, {p=}, {d.fields=}')
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np.update(ns)
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np.amount = eval(formula, ns)
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ret_items.append(np)
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if len(ret_items) == 0:
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e = f'{config_data=}{yamlstr=}没有找到合适的定价'
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exception(e)
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raise Exception(e)
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return ret_items
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