Skip to main content

Consistent TOML for Python

Project description

# Consistent TOML for Python

[![Build Status](https://travis-ci.org/Jumpscale/python-consistent-toml.svg?branch=master)](https://travis-ci.org/Jumpscale/python-consistent-toml)
[![Python Versions](https://img.shields.io/pypi/pyversions/contoml.svg)](https://pypi-hypernode.com/pypi/contoml)
[![Release](https://img.shields.io/pypi/v/contoml.svg)](https://pypi-hypernode.com/pypi/contoml)
![Wheel](https://img.shields.io/pypi/wheel/contoml.svg)
[![Join the chat at https://gitter.im/Jumpscale/python-consistent-toml](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/Jumpscale/python-consistent-toml?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)


A [TOML](https://github.com/toml-lang/toml) serializer/deserializer for Python that tries its best to preserve order of table mappings, formatting of source file, and comments during a deserialize/update/serialize job. This is achieved by preserving the parsed/constructed TOML data structures as lexical tokens internally and having the data manipulations performed directly on the tokens.

## Installation ##
```bash
pip install --upgrade contoml
```

## Usage ##

```python
>>> import contoml

>>> toml_file = contoml.load('sample.toml')

# The anonymous table is accessible using the empty string key on the TOML file
>>> toml_file['']['title']
'TOML Example'

# You can modify table values, add new values, or new tables
>>> toml_file['fruit'][1]['variety'][0]['points'][0]['y'] = 42

>>> toml_file['servers']['alpha']['ip'] = '192.168.0.111'

>>> toml_file['environment'] = {'OS': 'Arch Linux', 'Type': 'GNU/Linux'}

# Or append to an array of tables!
>>> toml_file.array('disks').append({'dev': '/dev/sda', 'cap': '230'})
>>> toml_file.array('disks').append({'dev': '/dev/sdb', 'cap': '120'})

# If you like, you can at any moment drop all the formatting metadata preserved in the
# lodaded TOML file and obtain a primive Python container out of it
>>> toml_file.primitive
{'': {'title': 'TOML Example'},
'clients': {'data': [['gamma', 'delta'], [1, 2]],
'hosts': ['alpha', 'omega'],
'key3': 'The quick brown fox jumps over the lazy dog.',
'lines': 'The first newline is\ntrimmed in raw strings.\n All other whitespace\n is preserved.\n',
'quoted': 'Tom "Dubs" Preston-Werner',
'regex': '<\\i\\c*\\s*>',
'regex2': "I [dw]on't need \\d{2} apples",
'str2': 'The quick brown fox jumps over the lazy dog.',
'str_multiline': 'Roses are red\nViolets are blue',
'str_quoted': 'I\'m a string. "You can quote me". Name\tJosé\nLocation\tSF.',
'winpath': 'C:\\Users\\nodejs\\templates',
'winpath2': '\\\\ServerX\\admin$\\system32\\'},
'database': {'connection_max': 5000,
'enabled': True,
'ports': [8001, 8001, 8002],
'server': '192.168.1.1'},
'disks': [{'cap': '230', 'dev': '/dev/sda'},
{'cap': '120', 'dev': '/dev/sdb'}],
'environment': {'OS': 'Arch Linux', 'Type': 'GNU/Linux'},
'fruit': [{'name': 'apple',
'physical': {'color': 'red', 'shape': 'round'},
'variety': [{'name': 'red delicious'}, {'name': 'granny smith'}]},
{'name': 'banana',
'variety': [{'name': 'plantain',
'points': [{'x': 1, 'y': 42, 'z': 3},
{'x': 7, 'y': 8, 'z': 9},
{'x': 2, 'y': 4, 'z': 8}]}]}],
'owner': {'dob': datetime.datetime(1979, 5, 27, 15, 32, tzinfo=<UTC>),
'name': 'Tom Preston-Werner'},
'servers': {'alpha': {'dc': 'eqdc10', 'ip': '192.168.0.111'},
'beta': {'dc': 'eqdc10', 'ip': '10.0.0.2'}}}

# You can serialize your TOML file back to TOML text at any point
>>> toml_file.dump('updated_sample.toml')
```

This produces the following TOML file:

```toml
# This is a TOML document.

title = "TOML Example"

[owner]
name = "Tom Preston-Werner"
dob = 1979-05-27T07:32:00-08:00 # First class dates

[database]
server = "192.168.1.1"
ports = [ 8001, 8001, 8002 ]
connection_max = 5000
enabled = true

[servers]

# Indentation (tabs and/or spaces) is allowed but not required
[servers.alpha]
ip = "192.168.0.111"
dc = "eqdc10"

[servers.beta]
ip = "10.0.0.2"
dc = "eqdc10"

[clients]
data = [ ["gamma", "delta"], [1, 2] ]

# Line breaks are OK when inside arrays
hosts = [
"alpha",
"omega"
]

str_multiline = """
Roses are red
Violets are blue"""

str_quoted = "I'm a string. \"You can quote me\". Name\tJos\u00E9\nLocation\tSF."

str2 = """
The quick brown \


fox jumps over \
the lazy dog."""

key3 = """\
The quick brown \
fox jumps over \
the lazy dog.\
"""

# What you see is what you get.
winpath = 'C:\Users\nodejs\templates'
winpath2 = '\\ServerX\admin$\system32\'
quoted = 'Tom "Dubs" Preston-Werner'
regex = '<\i\c*\s*>'

regex2 = '''I [dw]on't need \d{2} apples'''
lines = '''
The first newline is
trimmed in raw strings.
All other whitespace
is preserved.
'''


[[fruit]]
name = "apple"

[fruit.physical]
color = "red"
shape = "round"

[[fruit.variety]]
name = "red delicious"

[[fruit.variety]]
name = "granny smith"

[[fruit]]
name = "banana"

[[fruit.variety]]
name = "plantain"


points = [ { x = 1, y = 42, z = 3 }, # This value is so special to me
{ x = 7, y = 8, z = 9 },
{ x = 2, y = 4, z = 8 } ]


[environment]
Type = "GNU/Linux"
OS = "Arch Linux"

[[disks]]
cap = 230
dev = "/dev/sda"

[[disks]]
cap = 120
dev = "/dev/sdb"

```

Which is equivalent to the following data structure:

```json
{
"": {"title": "TOML Example"},
"owner": {
"name": "Tom Preston-Werner",
"dob": "1979-05-27 15:32:00+00:00"
},
"database": {
"ports": [8001, 8001, 8002],
"enabled": true,
"connection_max": 5000,
"server": "192.168.1.1"
},
"clients": {
"lines": "The first newline is\ntrimmed in raw strings.\n All other whitespace\n is preserved.\n",
"str_multiline": "Roses are red\nViolets are blue",
"regex": "<\\i\\c*\\s*>",
"winpath": "C:\\Users\\nodejs\\templates",
"data": [
["gamma", "delta"],
[1, 2]
],
"hosts": [
"alpha",
"omega"
],
"key3": "The quick brown fox jumps over the lazy dog.",
"str_quoted": "I'm a string. \"You can quote me\". Name\tJos\u00e9\nLocation\tSF.",
"quoted": "Tom \"Dubs\" Preston-Werner",
"str2": "The quick brown fox jumps over the lazy dog.",
"winpath2": "\\\\ServerX\\admin$\\system32\\",
"regex2": "I [dw]on't need \\d{2} apples"
},
"servers": {
"alpha": {
"dc": "eqdc10",
"ip": "192.168.0.111"
},
"beta": {
"dc": "eqdc10",
"ip": "10.0.0.2"
}
},
"fruit": [
{
"name": "apple",
"variety": [
{
"name": "red delicious"
},
{
"name": "granny smith"
}
],
"physical": {
"shape": "round",
"color": "red"
}
},
{
"name": "banana",
"variety": [
{
"name": "plantain",
"points": [
{"y": 42, "x": 1, "z": 3},
{"y": 8, "x": 7, "z": 9},
{"y": 4, "x": 2, "z": 8}
]
}
]
}
],
"disks": [
{"cap": "230", "dev": "/dev/sda"},
{"cap": "120", "dev": "/dev/sdb"}
],
"environment": {
"Type": "GNU/Linux",
"OS": "Arch Linux"
}
}
```

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

contoml-0.19.tar.gz (31.6 kB view details)

Uploaded Source

Built Distribution

contoml-0.19-py2.py3-none-any.whl (45.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file contoml-0.19.tar.gz.

File metadata

  • Download URL: contoml-0.19.tar.gz
  • Upload date:
  • Size: 31.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for contoml-0.19.tar.gz
Algorithm Hash digest
SHA256 9933e05297c33f6649aa0409e5f8c925a987ed145578f19076a9934179b19780
MD5 b6663c1b0989f76211a481189115b2a9
BLAKE2b-256 08696a70f2114572703385a5980e8400eb996d6ad53936f5a7bceb551f63fea5

See more details on using hashes here.

File details

Details for the file contoml-0.19-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for contoml-0.19-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4a35f0feb7e379ff9167e6c348a95b60f5588903b408b7ec65dbfe3646ae1cc8
MD5 2e65f246a800a744d5940e705db1a9bf
BLAKE2b-256 78aeaa9410908fdea4867ac66cbaf27281ce8fd066080200af3f933ee6aede36

See more details on using hashes here.

Supported by

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