sqlite-utils/sqlite_utils/recipes.py
santhreal 4f4d823f1c fix: allow recipes.jsonsplit to pass through NULL values
Table.convert with jsonsplit raised OperationalError on NULL cells
because None.split was called. Match parsedate and return None unchanged.
2026-07-17 22:37:44 -07:00

78 lines
2.1 KiB
Python

from __future__ import annotations
from typing import Callable, Optional
from dateutil import parser
import json
IGNORE: object = object()
SET_NULL: object = object()
def parsedate(
value: str,
dayfirst: bool = False,
yearfirst: bool = False,
errors: Optional[object] = None,
) -> Optional[str]:
"""
Parse a date and convert it to ISO date format: yyyy-mm-dd
\b
- dayfirst=True: treat xx as the day in xx/yy/zz
- yearfirst=True: treat xx as the year in xx/yy/zz
- errors=r.IGNORE to ignore values that cannot be parsed
- errors=r.SET_NULL to set values that cannot be parsed to null
"""
if not value:
return value
try:
return (
parser.parse(value, dayfirst=dayfirst, yearfirst=yearfirst)
.date()
.isoformat()
)
except parser.ParserError:
if errors is IGNORE:
return value
elif errors is SET_NULL:
return None
else:
raise
def parsedatetime(
value: str,
dayfirst: bool = False,
yearfirst: bool = False,
errors: Optional[object] = None,
) -> Optional[str]:
"""
Parse a datetime and convert it to ISO datetime format: yyyy-mm-ddTHH:MM:SS
\b
- dayfirst=True: treat xx as the day in xx/yy/zz
- yearfirst=True: treat xx as the year in xx/yy/zz
- errors=r.IGNORE to ignore values that cannot be parsed
- errors=r.SET_NULL to set values that cannot be parsed to null
"""
if not value:
return value
try:
return parser.parse(value, dayfirst=dayfirst, yearfirst=yearfirst).isoformat()
except parser.ParserError:
if errors is IGNORE:
return value
elif errors is SET_NULL:
return None
else:
raise
def jsonsplit(
value: Optional[str], delimiter: str = ",", type: Callable[[str], object] = str
) -> Optional[str]:
"""
Convert a string like a,b,c into a JSON array ["a", "b", "c"]
"""
if value is None:
return value
return json.dumps([type(s.strip()) for s in value.split(delimiter)])