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inifix
inifix
is a small Python library offering a load/dump
interface similar to
standard library modules json
or tomllib
(together with tomli_w
) for ini
configuration files in the style of Pluto and
Idefix.
While its primary goal is to follow Idefix's 'ini' format specification, it supports a small superset of it.
The key differences are:
inifix
supports section-free definitions. This means configuration files
from FARGO 3D are also supported.inifix
, strings can be escaped using '
or "
. This allows to have
whitespaces in string values and to force string type decoding where numeric
and boolean types would work.In rare cases where Idefix's 'ini' format doesn't match Pluto's, inifix
takes
the path of least resistance to support both.
Known differences are:
yes
and no
, as so does inifix
,
but these are not valid in Pluto (as of version 4.4).
Note that in contrast to Idefix, which is truly case-insensitive about
these special strings, inifix
(from version 5.0.0) only parse a restricted
set of unescaped strings as booleans, like true
, TRUE
, True
, yes
,
Yes
and YES
, but TruE
or yES
for instance will be parsed as strings.1.0
or 1e3
).
This creates some ambiguity when deserializing such strings, as the expected type
(int
or float
) cannot be unambiguously guessed. By default, inifix
(from
version 5.0) will parse these as float
s, allowing for 1-to-1 roundtrips.
Idefix (as of version 2.1) is also resilient against integers written as decimal,
so inifix
will not break any working inifile by a load/patch/dump routine.
See Reading Options for more.A file is considered valid if calling inifix.load(<filename>)
doesn't raise an
error.
The following content is considered valid
# My awesome experiment
[Grid]
x 1 2 u 10 # a comment
y 4 5 l 100
[Time Integrator]
CFL 1e-3
tstop 1E3
and maps to
{
"Grid": {
"x": [1, 2, "u", 10],
"y": [4, 5, "l", 100]
},
"Time Integrator": {
"CFL": 0.001,
"tstop": 1000.0
}
}
The following section-less format doesn't comply to Pluto/Idefix's
specifications, but is also valid in inifix
mode fargo
# Time integrator
CFL 1e-3
tstop 1e3
and maps to
{
"mode": "fargo",
"CFL": 0.001,
"tstop": 1000.0
}
Note that strings using e-notation (e.g. 1e-3
or 1E3
here) are decoded as
floats. Reversely, when writing files, floats are re-encoded using e-notation
if it leads to a more compact representation. For instance, 100000.0
is encoded
as 1e5
, but 189.0
is left unchanged because 1.89e2
takes one more character.
In cases where both reprensations are equally compact (e.g. 1.0
VS 1e0
),
decimal is preferred in encoding.
While decoding, e
can be lower or upper case, but they are always encoded as
lower case.
python -m pip install inifix
The public API mimics that of Python's standard library json
,
and consists in four main functions:
inifix.load
and inifix.dump
read from and write to files respectivelyinifix.loads
reads from a str
and returns a dict
, while inifix.dumps
does the reverse operation.inifix.load
reads from a file and returns a dict
import inifix
with open("pluto.ini", "rb") as fh:
conf = inifix.load(fh)
# or equivalently
conf = inifix.load("pluto.ini")
Files are assumed to be encoded as UTF-8.
inifix.load
and inifix.loads
accept an optional boolean flag
parse_scalars_as_lists
(new in inifix
v4.0.0), that is useful to simplify
handling unknown data: all values can be safely treated as arrays, and iterated
over, even in the presence of scalar strings. For illustration
>>> import inifix
>>> from pprint import pprint
>>> pprint(inifix.load("example.ini"))
{'Grid': {'x': [1, 2, 'u', 10], 'y': [4, 5, 'l', 100]},
'Time Integrator': {'CFL': 0.001, 'tstop': 1000.0}}
>>> pprint(inifix.load("example.ini", parse_scalars_as_lists=True))
{'Grid': {'x': [1, 2, 'u', 10], 'y': [4, 5, 'l', 100]},
'Time Integrator': {'CFL': [0.001], 'tstop': [1000.0]}}
inifix.load
and inifix.loads
also accept an integer_casting
argument (new
in inifix
v5.0.0), which can be set to decide how numbers written in decimal
notation which happen to have integral values (e.g. 1e2
or 30000.
) should be
parsed.
This argument accepts two values:
'stable'
(default) gives float
s while 'aggressive'
gives int
s,
matching the behavior of inifix
v4.5.0.
The key difference is that the default strategy is roundtrip-stable on types, while the aggressive mode isn't:
>>> import inifix
>>> data = {'option_a': [0, 1., 2e3, 4.5]}
>>> data
{'option_a': [0, 1.0, 2000.0, 4.5]}
>>> inifix.loads(inifix.dumps(data))
{'option_a': [0, 1.0, 2000.0, 4.5]}
>>> inifix.loads(inifix.dumps(data), integer_casting='aggressive')
{'option_a': [0, 1, 2000, 4.5]}
Aggressive casting may also lead to loss of precision beyond a certain range
>>> import inifix
>>> data = {'option_b': 9_007_199_254_740_993}
>>> inifix.loads(inifix.dumps(data))
{'option_b': 9007199254740993}
>>> inifix.loads(inifix.dumps(data), integer_casting='aggressive')
{'option_b': 9007199254740992}
By default, inifix.load
and inifix.loads
validate input data, see
Schema Validation for details.
Also see Type Checking for how parse_scalars_as_lists
affects
type checking.
inifix.dump
writes data to a file.
One typical use case is to combine inifix.load
and inifix.dump
to
programmatically update an existing configuration file at runtime via a
load/patch/dump routine.
>>> import inifix
>>> with open("pluto.ini", "rb") as fr:
... inifix.load(fr)
>>> conf["Time"]["CFL"] = 0.1
>>> with open("pluto-mod.ini", "wb") as fw:
... inifix.dump(conf, fw)
or, equivalently
>>> import inifix
>>> inifix.load("pluto.ini")
>>> conf["Time"]["CFL"] = 0.1
>>> inifix.dump(conf, "pluto-mod.ini")
Data will be validated against inifix's format specification at write time. Files are always encoded as UTF-8.
inifix.dumps
is the same as inifix.dump
except that it returns a string
instead of writing to a file.
>>> import inifix
>>> data = {"option_a": 1, "option_b": True}
>>> print(inifix.dumps(data))
option_a 1
option_b True
By default, inifix.dump
and inifix.dumps
validate input data, see
Schema Validation for details.
By default, I/O functions (inifix.dump
, inifix.dumps
, inifix.load
and
inifix.loads
) all validate that output/input data structures conform to the
library's specification:
inifix.load
and inifix.loads
) validate data post parsing,
and before returninginifix.dump
and inifix.dumps
) validate input data before writing
to their respective output channelsIn case the data is invalid, a ValueError
is raised.
This behavior can be turned off by passing skip_validation=True
.
Additionally, all four functions support a sections
argument (new in inifix
v5.1.0), which controls
whether sections (starting with headers, e.g., [MySection]
) are allowed
(sections='allow'
, default), forbidden (sections='forbid'
), or required
(sections='require'
) at validation.
This argument does not have any effect at runtime if combined with skip_validation=True
.
However, it will affect the return type of readers, as seen by typecheckers (e.g. mypy
or pyright
), regardless if validation is enabled, see Type Checking
inifix.validate_inifile_schema
can also be used directly and supports the
sections
argument.
inifix.format_string
formats a string representing the contents of an ini file.
See Formatting CLI for how to use this at scale.
Readers (inifix.load
and inifix.loads
) support a diversity of input and output
formats such that their default return type, while technically correct, is too broad
to be really useful in a type checking context. However, passing
parse_scalars_as_list=True
, sections='forbid'
or sections='require'
can
narrow the return type, as seen by a typechecker (e.g. mypy
or pyright
).
Note that this effect is intentionally not disabled with skip_validation=True
,
eventhough the sections
argument's runtime effect is disabled; such a
combination allows to get both optimal runtime performance and type-consistency.
However, skip_validation=True
may create situations where your code type-checks
but fails at runtime, so this option is only meant to be used if validation is
known to cause a performance bottleneck or a crash in your application. If such
a situation occurs, please report it !
inifix.load(s)
inifix.load
has no built-in expectations on the type of any specific parameter;
instead, all types are inferred at runtime, which allows the function to work
seamlessly with arbitrary parameter files.
However, this also means that the output is not (and cannot be) perfectly type-safe.
In other words, type checkers (e.g. mypy
) cannot infer exact types of outputs,
which is a problem in applications relying on type-checking.
A solution to this problem, which is actually not specific to inifix.load
and
works with any arbitrarily formed dict
, is to create a pipeline around this data
which implements type-checkable code, where data is also validated at runtime.
We'll illustrate this with a real-life example inspired from
nonos
.
Say, for instance, that we only care about a couple parameters from the [Output]
and [Hydro]
sections of idefix.ini
. Let's build a type-safe read_parameter_file
function around these.
class IdefixIni:
def __init__(self, *, Hydro, Output, **kwargs):
self.hydro = IdefixIniHydro(**Hydro)
self.output = IdefixIniOutput(**Output)
class IdefixIniHydro:
def __init__(self, **kwargs):
if "rotation" in kwargs:
self.frame = "COROT"
self.rotation = float(kwargs["rotation"])
else:
self.frame = "UNSET"
self.rotation = 0.0
class IdefixIniOutput:
def __init__(self, *, vtk, **kwargs):
self.vtk = float(vtk)
def read_parameter_file(file) -> IdefixIni:
return IdefixIni(**inifix.load(file))
ini = read_parameter_file("idefix.ini")
Type checkers can now safely assume that, ini.hydro.frame
, ini.hydro.rotation
and ini.output.vtk
all exist and are of type str
, float
and float
, respectively.
If this assumption is not verified at runtime, a TypeError
will be raised.
Note that we've used the catch-all **kwargs
construct to capture optional
parameters as well as any other parameters present (possibly none) that we do not
care about.
Command line tools are shipped with the package to validate or format compatible inifiles.
This checks that your inifiles can be loaded with inifix.load
from the command line
$ inifix-validate pluto.ini
Validated pluto.ini
This CLI can also be called as python -m inifix.validate
.
To format a file in place, use
$ inifix-format pluto.ini
inifix-format is guaranteed to preserve comments and to only edit (add or remove) whitespace characters.
Files are always encoded as UTF-8.
To print a diff patch to stdout instead of editing the file, use the --diff
flag
$ inifix-format pluto.ini --diff
This CLI can also be called as python -m inifix.format
.
By default, inifix-format
also validates input data. This step can be skipped with the
--skip-validation
flag
inifix-validate
and inifix-format
can be used as pre-commit
hooks with the
following configuration (add to .pre-commit-config.yaml
)
- repo: https://github.com/neutrinoceros/inifix.git
rev: v5.1.3
hooks:
- id: inifix-validate
or
- repo: https://github.com/neutrinoceros/inifix.git
rev: v5.1.3
hooks:
- id: inifix-format
Note that inifix-format
also validates data by default, so it is redundant to
utilize both hooks. Validation and formatting may nonetheless be decoupled as
- repo: https://github.com/neutrinoceros/inifix.git
rev: v5.1.3
hooks:
- id: inifix-validate
- id: inifix-format
+ args: [--skip-validation]
By default, both hooks target files matching the regular expression (\.ini)$
.
It is possible to override this expression as, e.g.,
hooks:
- id: inifix-format
+ files: (\.ini|\.par)$
FAQs
An I/O library for Pluto-style ini files.
We found that inifix demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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