collect() - Code Metrics - chdemko/pandoc-listof - Measure and Improve Code Quality continuously with Scrutinizer

collect() F
last analyzed 2018-02-02 09:42 UTC

↳ Parent: Project

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes	2
Bugs	0	Features	0

Metric	Value
cc	13
c	2
b	0
f	0
dl	0
loc	64
rs	2.7658

How to fix Long Method Complexity

#!/usr/bin/env python

"""
Pandoc filter to create lists of all kinds
"""

from pandocfilters import toJSONFilters, walk, Str, Plain, Link, BulletList, Para, RawInline
from functools import reduce
from copy import deepcopy
import io
import sys
import codecs
import json
import re
import unicodedata
import subprocess

collections = {}
headers = [0, 0, 0, 0, 0, 0]
headers2 = [0, 0, 0, 0, 0, 0]

def stringify(x, format):
    """Walks the tree x and returns concatenated string content,
    leaving out all formatting.
    """
    result = []

    def go(key, val, format, meta):
        if key in ['Str', 'MetaString']:
            result.append(val)
        elif key == 'Code':
            result.append(val[1])
        elif key == 'Math':
            # Modified from the stringify function in the pandocfilter package
            if format == 'latex':
                result.append('$' + val[1] + '$')
            else:
                result.append(val[1])
        elif key == 'LineBreak':
            result.append(" ")
        elif key == 'Space':
            result.append(" ")
        elif key == 'Note':
            # Do not stringify value from Note node
            del val[:]

    walk(x, go, format, {})
    return ''.join(result)

def collect(key, value, format, meta):
    global headers

    # Is it a header? Keep the correct numbered headers in the headers array
    if key == 'Header':
        [level, [id, classes, attributes], content] = value
        if 'unnumbered' not in classes:
            headers[level - 1] = headers[level - 1] + 1
            for index in range(level, 6):
                headers[index] = 0

    # Is it a link with a right tag?
    elif key == 'Span':

        # Get the Span
        [[anchor, classes, other], text] = value

        # Is the anchor correct?
        result = re.match('^([a-zA-Z][\w.-]*):([\w.-]+)$', anchor)
        if result:
            global collections

            # Compute the name
            name = result.group(1)

            # Compute the identifier
            identifier = result.group(2)

            # Store the new item
            string = stringify(deepcopy(text), format)
            
            # Prepare the names
            names = []

            # Add the atomic name to the list
            names.append(name)

            # Prepare the latex output
            if format == 'latex':
               latex = '\\phantomsection\\addcontentsline{' + name + '}{figure}{' + string + '}'

            # Loop on all the headers
            for i in [0, 1, 2, 3, 4, 5]:
                if headers[i] > 0:
                    # Add an alternate name to the list
                    altName = name + ':' + '.'.join(map(str, headers[:i+1]))
                    names.append(altName)
                    if format == 'latex':
                       # Complete the latex output
                       latex = latex + '\\phantomsection\\addcontentsline{' + altName + '}{figure}{' + string + '}'
                       latex = latex + '\\phantomsection\\addcontentsline{' + altName + '_}{figure}{' + string + '}'
                else:
                    break

            for name in names:
                # Prepare the new collections if needed
                if name not in collections:
                    collections[name] = []
                collections[name].append({'identifier': identifier, 'text': string})

            # Special case for LaTeX output
            if format == 'latex':
                text.insert(0, RawInline('tex', latex))
                value[1] = text

def listof(key, value, format, meta):
    global headers2

    # Is it a header?
    if key == 'Header':
        [level, [id, classes, attributes], content] = value
        if 'unnumbered' not in classes:
            headers2[level - 1] = headers2[level - 1] + 1
            for index in range(level, 6):
                headers2[index] = 0

    # Is it a paragraph with only one string?
    if key == 'Para' and len(value) == 1 and value[0]['t'] == 'Str':

        # Is it {tag}?
        result = re.match('^{(?P<name>(?P<prefix>[a-zA-Z][\w.-]*)(?P<section>\:((?P<sharp>#(\.#)*)|(\d+(\.\d+)*)))?)}$', value[0]['c'])
        if result:

            prefix = result.group('prefix')

            # Get the collection name
            if result.group('sharp') == None:
                name = result.group('name')
            else:
                level = (len(result.group('sharp')) - 1) // 2 + 1
                name = prefix + ':' + '.'.join(map(str, headers2[:level]))

            # Is it an existing collection
            if name in collections:

                if format == 'latex':
                    # Special case for LaTeX output
                    if 'toccolor' in meta:
                        linkcolor = '\\hypersetup{linkcolor=' + stringify(meta['toccolor']['c'], format) + '}'
                    else:
                        linkcolor = '\\hypersetup{linkcolor=black}'
                    if result.group('sharp') == None:
                        suffix = ''
                    else:
                        suffix = '_'
                    return Para([RawInline('tex', linkcolor + '\\makeatletter\\@starttoc{' + name + suffix + '}\\makeatother')])

                else:
                    # Prepare the list
                    elements = []

                    # Loop on the collection
                    for value in collections[name]:

                        # Add an item to the list
                        if pandocVersion() < '1.16':
                            # pandoc 1.15
                            link = Link([Str(value['text'])], ['#' + prefix + ':' + value['identifier'], ''])
                        else:
                            # pandoc 1.16
                            link = Link(['', [], []], [Str(value['text'])], ['#' + prefix + ':' + value['identifier'], ''])

                        elements.append([Plain([link])])

                    # Return a bullet list
                    return BulletList(elements)

        # Special case where the paragraph start with '{{...'
        elif re.match('^{{[a-zA-Z][\w.-]*}$', value[0]['c']):
            value[0]['c'] = value[0]['c'][1:]

def pandocVersion():
    if not hasattr(pandocVersion, 'value'):
        p = subprocess.Popen(['pandoc', '-v'], stdout=subprocess.PIPE,stderr=subprocess.PIPE)
        out, err = p.communicate()
        pandocVersion.value = re.search(b'pandoc (?P<version>.*)', out).group('version').decode('utf-8')
    return pandocVersion.value


def main():
    toJSONFilters([collect, listof])

if __name__ == '__main__':
    main()



1			#!/usr/bin/env python
2
3			"""
4			Pandoc filter to create lists of all kinds
5			"""
6
7			from pandocfilters import toJSONFilters, walk, Str, Plain, Link, BulletList, Para, RawInline
8			from functools import reduce
9			from copy import deepcopy
10			import io
11			import sys
12			import codecs
13			import json
14			import re
15			import unicodedata
16			import subprocess
17
18			collections = {}
19			headers = [0, 0, 0, 0, 0, 0]
20			headers2 = [0, 0, 0, 0, 0, 0]
21
22			def stringify(x, format):
23			"""Walks the tree x and returns concatenated string content,
24			leaving out all formatting.
25			"""
26			result = []
27
28			def go(key, val, format, meta):
29			if key in ['Str', 'MetaString']:
30			result.append(val)
31			elif key == 'Code':
32			result.append(val[1])
33			elif key == 'Math':
34			# Modified from the stringify function in the pandocfilter package
35			if format == 'latex':
36			result.append('$' + val[1] + '$')
37			else:
38			result.append(val[1])
39			elif key == 'LineBreak':
40			result.append(" ")
41			elif key == 'Space':
42			result.append(" ")
43			elif key == 'Note':
44			# Do not stringify value from Note node
45			del val[:]
46
47			walk(x, go, format, {})
48			return ''.join(result)
49
50			def collect(key, value, format, meta):
51			global headers
52
53			# Is it a header? Keep the correct numbered headers in the headers array
54			if key == 'Header':
55			[level, [id, classes, attributes], content] = value
56			if 'unnumbered' not in classes:
57			headers[level - 1] = headers[level - 1] + 1
58			for index in range(level, 6):
59			headers[index] = 0
60
61			# Is it a link with a right tag?
62			elif key == 'Span':
63
64			# Get the Span
65			[[anchor, classes, other], text] = value
66
67			# Is the anchor correct?
68			result = re.match('^([a-zA-Z][\w.-]*):([\w.-]+)$', anchor)
69			if result:
70			global collections
71
72			# Compute the name
73			name = result.group(1)
74
75			# Compute the identifier
76			identifier = result.group(2)
77
78			# Store the new item
79			string = stringify(deepcopy(text), format)
80
81			# Prepare the names
82			names = []
83
84			# Add the atomic name to the list
85			names.append(name)
86
87			# Prepare the latex output
88			if format == 'latex':
89			latex = '\\phantomsection\\addcontentsline{' + name + '}{figure}{' + string + '}'
90
91			# Loop on all the headers
92			for i in [0, 1, 2, 3, 4, 5]:
93			if headers[i] > 0:
94			# Add an alternate name to the list
95			altName = name + ':' + '.'.join(map(str, headers[:i+1]))
96			names.append(altName)
97			if format == 'latex':
98			# Complete the latex output
99			latex = latex + '\\phantomsection\\addcontentsline{' + altName + '}{figure}{' + string + '}'
100			latex = latex + '\\phantomsection\\addcontentsline{' + altName + '_}{figure}{' + string + '}'
101			else:
102			break
103
104			for name in names:
105			# Prepare the new collections if needed
106			if name not in collections:
107			collections[name] = []
108			collections[name].append({'identifier': identifier, 'text': string})
109
110			# Special case for LaTeX output
111			if format == 'latex':
112			text.insert(0, RawInline('tex', latex))
113			value[1] = text
114
115			def listof(key, value, format, meta):
116			global headers2
117
118			# Is it a header?
119			if key == 'Header':
120			[level, [id, classes, attributes], content] = value
121			if 'unnumbered' not in classes:
122			headers2[level - 1] = headers2[level - 1] + 1
123			for index in range(level, 6):
124			headers2[index] = 0
125
126			# Is it a paragraph with only one string?
127			if key == 'Para' and len(value) == 1 and value[0]['t'] == 'Str':
128
129			# Is it {tag}?
130			result = re.match('^{(?P<name>(?P<prefix>[a-zA-Z][\w.-])(?P<section>\:((?P<sharp>#(\.#))\|(\d+(\.\d+)*)))?)}$', value[0]['c'])
131			if result:
132
133			prefix = result.group('prefix')
134
135			# Get the collection name
136			if result.group('sharp') == None:
137			name = result.group('name')
138			else:
139			level = (len(result.group('sharp')) - 1) // 2 + 1
140			name = prefix + ':' + '.'.join(map(str, headers2[:level]))
141
142			# Is it an existing collection
143			if name in collections:
144
145			if format == 'latex':
146			# Special case for LaTeX output
147			if 'toccolor' in meta:
148			linkcolor = '\\hypersetup{linkcolor=' + stringify(meta['toccolor']['c'], format) + '}'
149			else:
150			linkcolor = '\\hypersetup{linkcolor=black}'
151			if result.group('sharp') == None:
152			suffix = ''
153			else:
154			suffix = '_'
155			return Para([RawInline('tex', linkcolor + '\\makeatletter\\@starttoc{' + name + suffix + '}\\makeatother')])
156
157			else:
158			# Prepare the list
159			elements = []
160
161			# Loop on the collection
162			for value in collections[name]:
163
164			# Add an item to the list
165			if pandocVersion() < '1.16':
166			# pandoc 1.15
167			link = Link([Str(value['text'])], ['#' + prefix + ':' + value['identifier'], ''])
168			else:
169			# pandoc 1.16
170			link = Link(['', [], []], [Str(value['text'])], ['#' + prefix + ':' + value['identifier'], ''])
171
172			elements.append([Plain([link])])
173
174			# Return a bullet list
175			return BulletList(elements)
176
177			# Special case where the paragraph start with '{{...'
178			elif re.match('^{{[a-zA-Z][\w.-]*}$', value[0]['c']):
179			value[0]['c'] = value[0]['c'][1:]
180
181			def pandocVersion():
182			if not hasattr(pandocVersion, 'value'):
183			p = subprocess.Popen(['pandoc', '-v'], stdout=subprocess.PIPE,stderr=subprocess.PIPE)
184			out, err = p.communicate()
185			pandocVersion.value = re.search(b'pandoc (?P<version>.*)', out).group('version').decode('utf-8')
186			return pandocVersion.value
187
188
189			def main():
190			toJSONFilters([collect, listof])
191
192			if __name__ == '__main__':
193			main()
194
195

chdemko / pandoc-listof

collect() F last analyzed 2018-02-02 09:42 UTC

Complexity

Size

Duplication

Importance

How to fix Long Method Complexity

Long Method

Complexity

Duplication Side-by-Side

Filter issues like

collect() F
last analyzed 2018-02-02 09:42 UTC