Attachment 'PageDicts.xapianenabled.py'
Download 1 """
2 MoinMoin - PageDicts
3
4 This macro uses the wikidicts mechanism for treating pages as dicts to
5 then display a selection of pages in a table.
6
7 Use it like this:
8 [[PageDicts([!]Bug0, Description, Status, Status ~= open)]]
9
10 This will draw a table with the columns pages, Description and
11 Status for all pages whos titles match Bug0 with Status matching
12 open. This can be used in many different scenarios, with
13 appropriate templates.
14 If you prefix the Bug0 with an !-mark, it will search for all user
15 readable pages wich contain Bug0 (allowing for searching a categorie)
16 Also note, that 'open' can be any valid regular expression (include pipes)
17
18 @copyright: 2006 by michael cohen <scudette@users.sourceforge.net>
19 @license: GNU GPL, see COPYING for details.
20 History:
21 0.4: made more usefull by allowing categories and catching some errors
22 by Remco Boerma
23 0.3: Fix typo, allow the "transpose" keyword to change the table layout
24 0.2: original version
25 """
26 import re
27 from MoinMoin import wikiutil, wikidicts, search
28 from MoinMoin.Page import Page
29 from MoinMoin.util.dataset import TupleDataset, Column
30 from MoinMoin.widget.browser import DataBrowserWidget
31
32 Dependencies = ["pages"]
33
34 def parse_condition(arg):
35 """ arg is a string which will be parsed into a condition dict.
36
37 A condition is a way of enforcing a requirement on a dict d. For example:
38
39 ## This will match if regex matches d['column_name']
40 column_name ~= regex
41
42 ## This will not match if regexp matches (inverse of above)
43 column_name !~= regex
44 """
45 if '!~=' in arg:
46 tmp = arg.split("!~=",1)
47 result=dict(
48 column= tmp[0].strip(),
49 regex= re.compile(tmp[1].strip(), re.IGNORECASE),
50 func = lambda condition,dictionary: not condition['regex'].search(dictionary[condition['column']])
51 )
52
53 return result
54 elif '~=' in arg:
55 tmp = arg.split("~=",1)
56 result = dict(
57 column = tmp[0].strip(),
58 regex = re.compile(tmp[1].strip(), re.IGNORECASE),
59 func = lambda condition,dictionary: condition['regex'].search(dictionary[condition['column']])
60 )
61
62 return result
63
64 def match_conditions(conditions, dictionary):
65 """ Returns true if all conditions match, false if any fail to match """
66 for condition in conditions:
67 try:
68 if not condition['func'](condition,dictionary):
69 return False
70 except KeyError:
71 # Remco: prolly it's a template linking or anything, and this value is not available
72 return False
73
74 return True
75
76 def execute(macro, args):
77 request = macro.request
78 args = [ arg.strip() for arg in args.split(',') ]
79 conditions = []
80 transpose = 0 ## if we transpose the results
81 needle = args[0]
82 if not needle:
83 return macro.formatter.text("It is probably not a good idea to parse all pages as dicts? You must specify a title filter")
84
85 try:
86 args = args[1:]
87 except IndexError:
88 args = []
89
90 ## Remove the args which are conditions and look for transpose flag
91 for i in range(len(args)):
92 condition = parse_condition(args[i])
93 if condition:
94 conditions.append(condition) # remco change
95 args[i]=None
96 elif 'transpose' in args[i]:
97 transpose = 1
98 args[i]=None
99
100
101 # RemcoBoerma -- use internal search for finding the page: allows all contstructs to perform
102 # the search...
103 results = [p.page_name for p in search.searchPages(request, needle, sort='page_name').hits]
104 #results.sort()
105
106 table = TupleDataset()
107 table.addRow( [ '', ] + [ arg for arg in args if arg ])
108
109 ## Look at all the pages that matched our string
110 for page in results:
111 dictionary = wikidicts.Dict(request, page)
112
113 ## Check to make sure that the conditons are matched
114 if not match_conditions(conditions, dictionary):
115 continue
116
117 ## Add the row to the table
118 row = [ Page(request, page).link_to(request) ]
119 cols = [ dictionary.get(column,'') for column in args if column ]
120
121 ## look if we have something in a column at all
122 found = [ 1 for col in cols if col ]
123
124 ## only print the row if it has something
125 if found:
126 table.addRow(row + cols)
127
128 if transpose:
129 ## transpose table (make column rows and rows columns)
130 table.data = map(None, zip(*table.data))
131 ## create the top columns
132 table.columns = [ Column(col, label=col, align='right') for col in table.data[0] ]
133 ## remove the row extracted as the column
134 table.data = table.data[1:]
135 tmp = DataBrowserWidget(request)
136 tmp.setData(table)
137 return tmp.render()
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