github_repo_scraped
/
repos
/googleapis-google-api-python-client-a9c62ce
/googleapiclient
/mimeparse.py
# Copyright 2014 Joe Gregorio | |
# | |
# Licensed under the MIT License | |
"""MIME-Type Parser | |
This module provides basic functions for handling mime-types. It can handle | |
matching mime-types against a list of media-ranges. See section 14.1 of the | |
HTTP specification [RFC 2616] for a complete explanation. | |
http://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html#sec14.1 | |
Contents: | |
- parse_mime_type(): Parses a mime-type into its component parts. | |
- parse_media_range(): Media-ranges are mime-types with wild-cards and a 'q' | |
quality parameter. | |
- quality(): Determines the quality ('q') of a mime-type when | |
compared against a list of media-ranges. | |
- quality_parsed(): Just like quality() except the second parameter must be | |
pre-parsed. | |
- best_match(): Choose the mime-type with the highest quality ('q') | |
from a list of candidates. | |
""" | |
from __future__ import absolute_import | |
from functools import reduce | |
__version__ = "0.1.3" | |
__author__ = "Joe Gregorio" | |
__email__ = "joe@bitworking.org" | |
__license__ = "MIT License" | |
__credits__ = "" | |
def parse_mime_type(mime_type): | |
"""Parses a mime-type into its component parts. | |
Carves up a mime-type and returns a tuple of the (type, subtype, params) | |
where 'params' is a dictionary of all the parameters for the media range. | |
For example, the media range 'application/xhtml;q=0.5' would get parsed | |
into: | |
('application', 'xhtml', {'q', '0.5'}) | |
""" | |
parts = mime_type.split(";") | |
params = dict( | |
[tuple([s.strip() for s in param.split("=", 1)]) for param in parts[1:]] | |
) | |
full_type = parts[0].strip() | |
# Java URLConnection class sends an Accept header that includes a | |
# single '*'. Turn it into a legal wildcard. | |
if full_type == "*": | |
full_type = "*/*" | |
(type, subtype) = full_type.split("/") | |
return (type.strip(), subtype.strip(), params) | |
def parse_media_range(range): | |
"""Parse a media-range into its component parts. | |
Carves up a media range and returns a tuple of the (type, subtype, | |
params) where 'params' is a dictionary of all the parameters for the media | |
range. For example, the media range 'application/*;q=0.5' would get parsed | |
into: | |
('application', '*', {'q', '0.5'}) | |
In addition this function also guarantees that there is a value for 'q' | |
in the params dictionary, filling it in with a proper default if | |
necessary. | |
""" | |
(type, subtype, params) = parse_mime_type(range) | |
if ( | |
"q" not in params | |
or not params["q"] | |
or not float(params["q"]) | |
or float(params["q"]) > 1 | |
or float(params["q"]) < 0 | |
): | |
params["q"] = "1" | |
return (type, subtype, params) | |
def fitness_and_quality_parsed(mime_type, parsed_ranges): | |
"""Find the best match for a mime-type amongst parsed media-ranges. | |
Find the best match for a given mime-type against a list of media_ranges | |
that have already been parsed by parse_media_range(). Returns a tuple of | |
the fitness value and the value of the 'q' quality parameter of the best | |
match, or (-1, 0) if no match was found. Just as for quality_parsed(), | |
'parsed_ranges' must be a list of parsed media ranges. | |
""" | |
best_fitness = -1 | |
best_fit_q = 0 | |
(target_type, target_subtype, target_params) = parse_media_range(mime_type) | |
for (type, subtype, params) in parsed_ranges: | |
type_match = type == target_type or type == "*" or target_type == "*" | |
subtype_match = ( | |
subtype == target_subtype or subtype == "*" or target_subtype == "*" | |
) | |
if type_match and subtype_match: | |
param_matches = reduce( | |
lambda x, y: x + y, | |
[ | |
1 | |
for (key, value) in target_params.items() | |
if key != "q" and key in params and value == params[key] | |
], | |
0, | |
) | |
fitness = (type == target_type) and 100 or 0 | |
fitness += (subtype == target_subtype) and 10 or 0 | |
fitness += param_matches | |
if fitness > best_fitness: | |
best_fitness = fitness | |
best_fit_q = params["q"] | |
return best_fitness, float(best_fit_q) | |
def quality_parsed(mime_type, parsed_ranges): | |
"""Find the best match for a mime-type amongst parsed media-ranges. | |
Find the best match for a given mime-type against a list of media_ranges | |
that have already been parsed by parse_media_range(). Returns the 'q' | |
quality parameter of the best match, 0 if no match was found. This function | |
bahaves the same as quality() except that 'parsed_ranges' must be a list of | |
parsed media ranges. | |
""" | |
return fitness_and_quality_parsed(mime_type, parsed_ranges)[1] | |
def quality(mime_type, ranges): | |
"""Return the quality ('q') of a mime-type against a list of media-ranges. | |
Returns the quality 'q' of a mime-type when compared against the | |
media-ranges in ranges. For example: | |
>>> quality('text/html','text/*;q=0.3, text/html;q=0.7, | |
text/html;level=1, text/html;level=2;q=0.4, */*;q=0.5') | |
0.7 | |
""" | |
parsed_ranges = [parse_media_range(r) for r in ranges.split(",")] | |
return quality_parsed(mime_type, parsed_ranges) | |
def best_match(supported, header): | |
"""Return mime-type with the highest quality ('q') from list of candidates. | |
Takes a list of supported mime-types and finds the best match for all the | |
media-ranges listed in header. The value of header must be a string that | |
conforms to the format of the HTTP Accept: header. The value of 'supported' | |
is a list of mime-types. The list of supported mime-types should be sorted | |
in order of increasing desirability, in case of a situation where there is | |
a tie. | |
>>> best_match(['application/xbel+xml', 'text/xml'], | |
'text/*;q=0.5,*/*; q=0.1') | |
'text/xml' | |
""" | |
split_header = _filter_blank(header.split(",")) | |
parsed_header = [parse_media_range(r) for r in split_header] | |
weighted_matches = [] | |
pos = 0 | |
for mime_type in supported: | |
weighted_matches.append( | |
(fitness_and_quality_parsed(mime_type, parsed_header), pos, mime_type) | |
) | |
pos += 1 | |
weighted_matches.sort() | |
return weighted_matches[-1][0][1] and weighted_matches[-1][2] or "" | |
def _filter_blank(i): | |
for s in i: | |
if s.strip(): | |
yield s | |