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https://github.com/mnot/http_sfv

Parse and serialise HTTP structured field values
https://github.com/mnot/http_sfv

headers http parser python

Last synced: 19 days ago
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Parse and serialise HTTP structured field values

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# HTTP Structured Field Values in Python

[![Actions Status](https://github.com/mnot/http_sfv/workflows/CI/badge.svg)](https://github.com/mnot/http_sfv/actions)

# This Package is DEPRECATED

See the [http-sf package](https://pypi.org/project/http-sf/) for a replacement. This package will only be updated for security issues, and may be yanked in the future.

# Introduction

This is a [Python 3](https://python.org/) library implementing parsing and serialisation of [HTTP Structured Fields](https://httpwg.org/http-extensions/draft-ietf-httpbis-header-structure.html).

The library's initial purpose is to prove the algorithms in the specification; as a result, it is not at all optimised. It tracks the specification closely, but since it is not yet an RFC, may change at any time.

_Currently, this implements [draft-ietf-httpbis-sfbis-03](https://datatracker.ietf.org/doc/draft-ietf-httpbis-sfbis/)._

## Python API

There are three top-level types for Structured Field Values; `Dictionary`, `List` and `Item`. After instantiation, each can be used to parse a string HTTP header field value by calling `.parse()`:

~~~ python
>>> from http_sfv import List
>>> my_list = List()
>>> my_list.parse(b"foo; a=1, bar; b=2")
~~~

Note that `.parse()` takes a bytes-like object. If you want to parse a string, please `.encode()` it first.

Members of Lists and Dictionaries are available by normal Pythonic list and dictionary methods, respectively:

~~~ python
>>> my_list
[, ]
>>> my_list[0]

~~~

Items (whether top-level or inside a list or dictionary value) can have their values accessed with the `.value` property:

~~~ python
>>> my_list[0].value
'foo'
~~~

Parameters on Items (and Inner Lists) can be accessed using the `.params` property, which is a dictionary:

~~~ python
>>> my_list[0].params['a']
1
~~~

Note that Tokens and Strings both evaluate as Python strings, but Tokens have a different class:

~~~ python
>>> type(my_list[0].value)

~~~

That means that you need to create Tokens explicitly:

~~~ python
>>> from http_sfv import Token
>>> my_list.append(Token('bar'))
>>> my_list[-1]
'bar'
~~~

Likewise, Display Strings are represented using DisplayString objects; Dates as `datetime.datetime` objects.

If you compare two Items, they'll be considered to be equivalent if their values match, even when their parameters are different:

~~~ python
>>> Token('foo') in my_list # note that my_list's 'foo' has a parameter
True
>>> my_list.count(Token("foo"))
1
~~~

Inner Lists can be added by passing a list:

~~~ python
>>> my_list.append(['another_thing', 'and_another'])
>>> print(my_list)
foo;a=1, bar;b=2, bar, ("another_thing" "and_another")
>>> my_list[-1][-1].params['a'] = True
~~~

Dictionaries, Lists, and Items can be instantiated with a value:

~~~ python
>>> from http_sfv import Dictionary
>>> my_dictionary = Dictionary({'a': '1', 'b': 2, 'c': Token('foo')})
>>> my_dictionary
{'a': , 'b': , 'c': }
~~~

Once instantiated, parameters can then be accessed:

~~~ python
>>> my_dictionary['b'].params['1'] = 2.0
~~~

Finally, to serialise a field value, just evaluate it as a string:

~~~ python
>>> print(my_dictionary)
a=1, b=2;b1=2.0, c=foo
~~~

## Command Line Use

You can validate and examine the data model of a field value by calling the library on the command line, using `-d`, `-l` and `-i` to denote dictionaries, lists or items respectively; e.g.,

~~~ example
> python3 -m http_sfv -i "foo;bar=baz"
[
{
"__type": "token",
"value": "foo"
},
{
"bar": {
"__type": "token",
"value": "baz"
}
}
]
~~~

or:

~~~ example
> python3 -m http_sfv -i "foo;&bar=baz"
FAIL: Key does not begin with lcalpha or * at: &bar=baz
~~~

Note that if successful, the output is in the JSON format used by the [test suite](https://github.com/httpwg/structured-header-tests/).