Skip to main content

A lil' TOML parser

Project description

Build Status codecov.io PyPI version

Tomli

A lil' TOML parser

Table of Contents generated with mdformat-toc

Intro

Tomli is a Python library for parsing TOML. Tomli is fully compatible with TOML v1.0.0.

Installation

pip install tomli

Usage

Parse a TOML string

import tomli

toml_str = """
           gretzky = 99

           [kurri]
           jari = 17
           """

toml_dict = tomli.loads(toml_str)
assert toml_dict == {"gretzky": 99, "kurri": {"jari": 17}}

Parse a TOML file

import tomli

with open("path_to_file/conf.toml", encoding="utf-8") as f:
    toml_dict = tomli.load(f)

Handle invalid TOML

import tomli

try:
    toml_dict = tomli.loads("]] this is invalid TOML [[")
except tomli.TOMLDecodeError:
    print("Yep, definitely not valid.")

Construct decimal.Decimals from TOML floats

from decimal import Decimal
import tomli

toml_dict = tomli.loads("precision-matters = 0.982492", parse_float=Decimal)
assert isinstance(toml_dict["precision-matters"], Decimal)

FAQ

Why this parser?

  • it's lil'
  • pure Python with zero dependencies
  • as fast as pure Python allows
  • 100% spec compliance: passes all tests in a test set soon to be merged to the official compliance tests for TOML repository
  • 100% branch coverage

Is comment preserving round-trip parsing supported?

No. The tomli.loads function returns a plain dict that is populated with builtin types and types from the standard library only. Preserving comments requires a custom type to be returned so will not be supported, at least not by the tomli.loads function.

Is there a dumps, write or encode function?

Not yet, and it's possible there never will be. This library is deliberately minimal, and most TOML use cases are read-only. Also, most use cases where writes are relevant could also benefit from comment and whitespace preserving reads, which this library does not currently support.

How do TOML types map into Python types?

TOML type Python type
Document root dict
String str
Integer int
Float float
Boolean bool
Offset Date-Time datetime.datetime
Local Date-Time datetime.datetime
Local Date datetime.date
Local Time datetime.time
Array list
Inline Table dict

Performance

The benchmark/ folder in this repository contains a performance benchmark for comparing the various Python TOML parsers. The benchmark can be run with tox -e benchmark-pypi. On May 29 2021 running the benchmark output the following on my notebook computer.

foo@bar:~/dev/tomli$ tox -e benchmark-pypi
benchmark-pypi installed: attrs==19.3.0,click==7.1.2,pytomlpp==1.0.2,qtoml==0.3.0,rtoml==0.6.1,toml==0.10.2,tomli==0.2.3,tomlkit==0.7.2
benchmark-pypi run-test-pre: PYTHONHASHSEED='2295586404'
benchmark-pypi run-test: commands[0] | python benchmark/run.py
Parsing data.toml 5000 times:
------------------------------------------------------
    parser |  exec time | performance (more is better)
-----------+------------+-----------------------------
  pytomlpp |     1.14 s | baseline (100%)
     rtoml |     1.16 s | 98.13%
     tomli |     7.58 s | 15.07%
      toml |     9.35 s | 12.21%
     qtoml |     15.4 s | 7.43%
   tomlkit |     68.3 s | 1.67%

The parsers are ordered from fastest to slowest, using the fastest parser (pytomlpp) as baseline. Tomli performed the best out of all pure Python TOML parsers, losing only to pytomlpp (wraps C++) and rtoml (wraps Rust).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tomli-0.2.6.tar.gz (13.6 kB view details)

Uploaded Source

Built Distribution

tomli-0.2.6-py3-none-any.whl (10.2 kB view details)

Uploaded Python 3

File details

Details for the file tomli-0.2.6.tar.gz.

File metadata

  • Download URL: tomli-0.2.6.tar.gz
  • Upload date:
  • Size: 13.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.6 CPython/3.7.10 Linux/5.4.0-1047-azure

File hashes

Hashes for tomli-0.2.6.tar.gz
Algorithm Hash digest
SHA256 627821594426019517164ca45721535cb3546993d17dbf434f7800f5718822f2
MD5 f27f24d4edaec2fea9908fb06c460130
BLAKE2b-256 9fb113608b364ce09e5edcfc445c29dc1e15d620d6bc2eb4df89b720bac527bf

See more details on using hashes here.

File details

Details for the file tomli-0.2.6-py3-none-any.whl.

File metadata

  • Download URL: tomli-0.2.6-py3-none-any.whl
  • Upload date:
  • Size: 10.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.6 CPython/3.7.10 Linux/5.4.0-1047-azure

File hashes

Hashes for tomli-0.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 9e0d5f5bbddce8b1a4861a996a07b7e2ec41aa93783c66a6ef80ac21a28fce81
MD5 f107cb27fbcd26fc6bcfe52b984ca303
BLAKE2b-256 01a3fccd81d07ef4420eeeec7c2e0156996ec85a968f2f4ae13159363c54f26a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page