philiprehberger-type-parse
Parse strings into Python types intelligently — booleans, numbers, dates, datetimes, UUIDs, filesizes, None, lists.
Installation
pip install philiprehberger-type-parse
Usage
from philiprehberger_type_parse import parse
parse("true") # True
parse("42") # 42
parse("3.14") # 3.14
parse("2026-03-15") # datetime.date(2026, 3, 15)
parse("none") # None
parse("hello") # "hello"
Boolean Parsing
from philiprehberger_type_parse import parse_bool
parse_bool("yes") # True
parse_bool("off") # False
parse_bool("1") # True
Number Parsing
from philiprehberger_type_parse import parse_number
parse_number("1,234") # 1234
parse_number("$19.99") # 19.99
parse_number("50%") # 50
Date Parsing
from philiprehberger_type_parse import parse_date
parse_date("2026-03-15") # datetime.date(2026, 3, 15)
parse_date("15.03.2026", dayfirst=True) # datetime.date(2026, 3, 15)
parse_date("March 15, 2026") # datetime.date(2026, 3, 15)
Datetime Parsing
from philiprehberger_type_parse import parse_datetime
parse_datetime("2026-03-16 14:30:00") # datetime(2026, 3, 16, 14, 30)
parse_datetime("2026-03-16T14:30:00Z") # datetime(2026, 3, 16, 14, 30, tzinfo=UTC)
parse_datetime("2026-03-16T14:30:00+02:00") # datetime with +02:00 offset
parse_datetime("Mar 16, 2026 2:30 PM") # datetime(2026, 3, 16, 14, 30)
Time Parsing
from philiprehberger_type_parse import parse_time
parse_time("14:30") # time(14, 30)
parse_time("2:30 PM") # time(14, 30)
parse_time("14:30:00") # time(14, 30)
parse_time("14:30:00.123456") # time(14, 30, 0, 123456)
UUID Parsing
from philiprehberger_type_parse import parse_uuid
parse_uuid("550e8400-e29b-41d4-a716-446655440000") # UUID('550e8400-...')
parse_uuid("550e8400e29b41d4a716446655440000") # UUID without hyphens
parse_uuid("{550e8400-e29b-41d4-a716-446655440000}") # UUID with braces
Bytes / Filesize Parsing
from philiprehberger_type_parse import parse_bytes
parse_bytes("1.5 GB") # 1500000000 (SI, base 1000)
parse_bytes("1.5 GiB") # 1610612736 (IEC, base 1024)
parse_bytes("500 MB") # 500000000
parse_bytes("1024 KB") # 1024000
List Parsing
from philiprehberger_type_parse import parse_list
parse_list("a, b, c") # ["a", "b", "c"]
parse_list("x|y|z", separator="|") # ["x", "y", "z"]
parse_list("1, true, hello", coerce=True) # [1, True, "hello"]
parse_list("42, 3.14, none", coerce=True) # [42, 3.14, None]
Batch Parsing
Parse a list of strings in one call. Pass target_type to coerce every value to a specific type instead of relying on auto-detection.
from philiprehberger_type_parse import parse_many
parse_many(["1", "true", "2026-03-15"])
# [1, True, datetime.date(2026, 3, 15)]
parse_many(["1", "2", "3"], target_type=int)
# [1, 2, 3]
parse_many(["yes", "no", "on"], target_type=bool)
# [True, False, True]
API
| Function / Class | Description |
|---|---|
parse(value) |
Auto-detect type: None, bool, int, float, UUID, datetime, date, or str |
parse_many(values, target_type=None) |
Batch parse a list of strings, optionally coerced to a single target type |
parse_bool(value) |
Parse true/yes/1/on/y or false/no/0/off/n |
parse_number(value) |
Parse int or float with commas, currency, percentages |
parse_date(value, *, dayfirst=False) |
Parse common date formats into datetime.date |
parse_datetime(value, *, dayfirst=False) |
Parse date-time strings with optional timezone into datetime.datetime |
parse_time(value) |
Parse time strings (24h, 12h AM/PM) into datetime.time |
parse_uuid(value) |
Parse UUID strings (with/without hyphens/braces) into uuid.UUID |
parse_bytes(value) |
Parse filesize strings (KB, MB, GB, KiB, MiB, GiB, etc.) to bytes |
parse_list(value, *, separator=",", coerce=False) |
Split into trimmed, non-empty strings; optionally auto-detect types |
Development
pip install -e .
python -m pytest tests/ -v
Support
If you find this project useful:
License
Metadata
Release files for philiprehberger-type-parse 0.3.0
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