You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

64 lines
2.2 KiB

from datetime import datetime
class DataMapper:
def __init__(self, date_columns, uint64_columns):
self.date_columns = date_columns
self.uint64_columns = uint64_columns
self.min_date = datetime(1970, 1, 1)
self.max_date = datetime(2105, 12, 31, 23, 59, 59)
def map_row(self, columns, row):
row_dict = dict(zip(columns, row))
return {col: self._map_value(col, val) for col, val in row_dict.items()}
def _map_value(self, col, value):
if col in self.uint64_columns:
return self._handle_uint64(value)
elif col in self.date_columns:
return self._handle_datetime(value)
elif isinstance(value, str):
return value.strip()
return value
def _handle_uint64(self, value):
try:
return int(float(value)) if value not in (None, '', 'NULL') else 0
except:
return 0
def _handle_datetime(self, value):
dt = self._parse_datetime(value)
return dt if dt else self.min_date
def _parse_datetime(self, value):
if value in (None, 0, '0', '0.0', '0.00', '', 'null', 'NULL'):
return self.min_date
try:
str_value = str(value).strip()
for fmt in ('%Y-%m-%d %H:%M:%S', '%Y-%m-%d', '%Y%m%d%H%M%S', '%Y/%m/%d %H:%M:%S'):
try:
parsed = datetime.strptime(str_value, fmt)
return self._clamp_datetime(parsed)
except ValueError:
continue
if str_value.isdigit():
ts = int(str_value)
if 1e12 < ts < 1e13: # 毫秒级时间戳
parsed = datetime.fromtimestamp(ts / 1000)
elif 1e9 < ts < 1e10: # 秒级时间戳
parsed = datetime.fromtimestamp(ts)
return self._clamp_datetime(parsed)
return self.min_date
except:
return self.min_date
def _clamp_datetime(self, dt):
if dt < self.min_date:
return self.min_date
elif dt > self.max_date:
return self.max_date
return dt