Implement searching on series index

This commit is contained in:
Kovid Goyal 2010-08-30 08:21:08 -06:00
commit a545bd1d81
4 changed files with 36 additions and 12 deletions

View File

@ -105,6 +105,8 @@ class CreateCustomColumn(QDialog, Ui_QCreateCustomColumn):
return self.simple_error('', _('No lookup name was provided'))
if re.match('^\w*$', col) is None or not col[0].isalpha() or col.lower() != col:
return self.simple_error('', _('The lookup name must contain only lower case letters, digits and underscores, and start with a letter'))
if col.endswith('_index'):
return self.simple_error('', _('Lookup names cannot end with _index, because these names are reserved for the index of a series column.'))
col_heading = unicode(self.column_heading_box.text())
col_type = self.column_types[self.column_type_box.currentIndex()]['datatype']
if col_type == '*text':

View File

@ -264,7 +264,11 @@ class LibraryDatabase2(LibraryDatabase, SchemaUpgrade, CustomColumns):
# account for the series index column. Field_metadata knows that
# the series index is one larger than the series. If you change
# it here, be sure to change it there as well.
self.FIELD_MAP[str(col)+'_s_index'] = base = base+1
self.FIELD_MAP[str(col)+'_index'] = base = base+1
self.field_metadata.set_field_record_index(
self.custom_column_num_map[col]['label']+'_index',
base,
prefer_custom=True)
self.FIELD_MAP['cover'] = base+1
self.field_metadata.set_field_record_index('cover', base+1, prefer_custom=False)

View File

@ -36,7 +36,7 @@ class FieldMetadata(dict):
treated as a single term. If not None, it contains a string, and the field
is assumed to contain a list of terms separated by that string
kind == standard: is a db field.
kind == field: is a db field.
kind == category: standard tag category that isn't a field. see news.
kind == user: user-defined tag category.
kind == search: saved-searches category.
@ -239,7 +239,7 @@ class FieldMetadata(dict):
'is_multiple':None,
'kind':'field',
'name':None,
'search_terms':[],
'search_terms':['series_index'],
'is_custom':False,
'is_category':False}),
('sort', {'table':None,
@ -395,6 +395,18 @@ class FieldMetadata(dict):
'is_editable': is_editable,}
self._add_search_terms_to_map(key, [key])
self.custom_label_to_key_map[label] = key
if datatype == 'series':
key += '_index'
self._tb_cats[key] = {'table':None, 'column':None,
'datatype':'float', 'is_multiple':False,
'kind':'field', 'name':'',
'search_terms':[key], 'label':label+'_index',
'colnum':None, 'display':{},
'is_custom':False, 'is_category':False,
'link_column':None, 'category_sort':None,
'is_editable': False,}
self._add_search_terms_to_map(key, [key])
self.custom_label_to_key_map[label+'_index'] = key
def remove_custom_fields(self):
for key in self.get_custom_fields():

View File

@ -212,9 +212,10 @@ metadata.
You can build advanced search queries easily using the :guilabel:`Advanced Search Dialog`, accessed by
clicking the button |sbi|.
Available fields for searching are: ``tag, title, author, publisher, series, rating, cover, comments, format,
isbn, date, pubdate, search, size`` and custom columns. If a device is plugged in, the ``ondevice`` field
becomes available. To find the search name for a custom column, hover your mouse over the column header.
Available fields for searching are: ``tag, title, author, publisher, series, series_index, rating, cover,
comments, format, isbn, date, pubdate, search, size`` and custom columns. If a device is plugged in, the
``ondevice`` field becomes available. To find the search name for a custom column, hover your mouse over the
column header.
The syntax for searching for dates is::
@ -223,9 +224,8 @@ The syntax for searching for dates is::
pubdate:=2009 Will find all books published in 2009
If the date is ambiguous, the current locale is used for date comparison. For example, in an mm/dd/yyyy
locale, 2/1/2009 is interpreted as 1 Feb 2009. In a dd/mm/yyyy locale, it is interpreted as 2 Jan 2009.
Some special date strings are available. The string ``today`` translates to today's date, whatever it is. The
locale, 2/1/2009 is interpreted as 1 Feb 2009. In a dd/mm/yyyy locale, it is interpreted as 2 Jan 2009. Some
special date strings are available. The string ``today`` translates to today's date, whatever it is. The
strings `yesterday`` and ``thismonth`` also work. In addition, the string ``daysago`` can be used to compare
to a date some number of days ago, for example: date:>10daysago, date:<=45daysago.
@ -234,9 +234,15 @@ You can search for books that have a format of a certain size like this::
size:>1.1M Will find books with a format larger than 1.1MB
size:<=1K Will find books with a format smaller than 1KB
Dates and numeric fields support the operators ``=`` (equals), ``>`` (greater than), ``>=`` (greater than or
equal to), ``<`` (less than), ``<=`` (less than or equal to), and ``!=`` (not equal to). Rating fields are
considered to be numeric. For example, the search ``rating:>=3`` will find all books rated 3 or higher.
Dates and numeric fields support the relational operators ``=`` (equals), ``>`` (greater than), ``>=``
(greater than or equal to), ``<`` (less than), ``<=`` (less than or equal to), and ``!=`` (not equal to).
Rating fields are considered to be numeric. For example, the search ``rating:>=3`` will find all books rated 3
or higher.
Series indices are searchable. For the standard series, the search name is 'series_index'. For
custom series columns, use the column search name followed by _index. For example, to search the indices for a
custom series column named ``#my_series``, you would use the search name ``#my_series_index``.
Series indices are numbers, so you can use the relational operators described above.
The special field ``search`` is used for saved searches. So if you save a search with the name
"My spouse's books" you can enter ``search:"My spouse's books"`` in the search bar to reuse the saved