If language is set to "browser" the client/user browser language is used to choose from
available translation.
simply: one users browser speaks English -> YaCy responds in English, other users browser speaks French -> YaCy responds in French.
! To make a translation/language available you have to activate the language once !
(or manually use the utility class TranslateAll)
In ConfigBasic.html availabel translations are marked green on setting language=Browser
The client language is determined by http header Accept-Language (checked in DefaultServlet)
- after last_exec_date is altered, next_exec_date should be recalculated
- makes the recalculation of next_exec in advance (without api call surely made) in Switchbard.schedulerJob() obsolete
Slightly modify next_exec calc. on missed event to now+schedule_time (from fix 10min)
fix for http://mantis.tokeek.de/view.php?id=677
The difference is on scheduling a large number of rss feeds and loading
is not finished before shutdown of YaCy. The change makes sure not already
loaded RSS will be loaded by the scheduler on next startup.
be translated. To avoid key="TEST" sourcetext="this is a myTESTcase for it"
translation of partial terms/words.
Add check of word boundary before and after sourcetext (incl. take care
of current praxis for key to be delimetered by > <
+ add test case
This is the 1st rudimentary approach to support the translatio utilities.
It allows currently to edit untranslated text and save it in a local translation file
in the DATA/LOCALE directory.
+ refactor Translator (less static's) to leverage on class overrides and support garbage collection for this 1 time routine
+ adjust TranslatorXliff to check for local translations in DATA/LOCALE,
this includes storing manually downloaded translation files in DATA as well
(to keep default untouched)
+ on 1st call of Translator_p a master tanslation file is generated, checking
the supported languages for missing translation text (later this masterfile is planned to part of the distribution, to harmonize translation key text between the languages)
Outlook: the local modifications (possibly as translation fragments instead of complete file) to be shared with maintainer using xlif features.
as simple string and no more as regular expressions.
Updated all locale files to adapt to refectored Translator : removed
useless escaped characters and did minor corrections.
Performed minor syntax corrections on some html source files.
Added an util to translate all html source files with all locales
without launching full YaCy application.
Corrected main arguments parsing on other translation utils.
index has more than two million documents. This protects the index from
beeing flooded with search requests that cannot be resolved before the
real search query has to be computet.
to support the new time parser and search functions in YaCy a high
precision detection of date and time on the day is necessary. That
requires that the time zone of the document content and the time zone of
the user, doing a search, is detected. The time zone of the search
request is done automatically using the browsers time zone offset which
is delivered to the search request automatically and invisible to the
user. The time zone for the content of web pages cannot be detected
automatically and must be an attribute of crawl starts. The advanced
crawl start now provides an input field to set the time zone in minutes
as an offset number. All parsers must get a time zone offset passed, so
this required the change of the parser java api. A lot of other changes
had been made which corrects the wrong handling of dates in YaCy which
was to add a correction based on the time zone of the server. Now no
correction is added and all dates in YaCy are UTC/GMT time zone, a
normalized time zone for all peers.
- date navigation
The date is taken from the CONTENT of the documents / web pages, NOT
from a date submitted in the context of metadata (i.e. http header or
html head form). This makes it possible to search for documents in the
future, i.e. when documents contain event descriptions for future
events.
The date is written to an index field which is now enabled by default.
All documents are scanned for contained date mentions.
To visualize the dates for a specific search results, a histogram
showing the number of documents for each day is displayed. To render
these histograms the morris.js library is used. Morris.js requires also
raphael.js which is now also integrated in YaCy.
The histogram is now also displayed in the index browser by default.
To select a specific range from a search result, the following modifiers
had been introduced:
from:<date>
to:<date>
These modifiers can be used separately (i.e. only 'from' or only 'to')
to describe an open interval or combined to have a closed interval. Both
dates are inclusive. To select a specific single date only, use the
'to:' - modifier.
The histogram shows blue and green lines; the green lines denot weekend
days (saturday and sunday).
Clicking on bars in the histogram has the following reaction:
1st click: add a from:<date> modifier for the date of the bar
2nd click: add a to:<date> modifier for the date of the bar
3rd click: remove from and date modifier and set a on:<date> for the bar
When the on:<date> modifier is used, the histogram shows an unlimited
time period. This makes it possible to click again (4th click) which is
then interpreted as a 1st click again (sets a from modifier).
The display feature is NOT switched on by default; to switch it on use
the /ConfigSearchPage_p.html servlet.
given css class and extends a given vocabulary with a term consisting
with the text content of the html class tag. Additionally, the term is
included into the semantic facet of the document. This allows the
creation of faceted search to documents without the pre-creation of
vocabularies; instead, the vocabulary is created on-the-fly, possibly
for use in other crawls. If any of the term scraping for a specific
vocabulary is successful on a document, this vocabulary is excluded for
auto-annotation on the page.
To use this feature, do the following:
- create a vocabulary on /Vocabulary_p.html (if not existent)
- in /CrawlStartExpert.html you will now see the vocabularies as column
in a table. The second column provides text fields where you can name
the class of html entities where the literal of the corresponding
vocabulary shall be scraped out
- when doing a search, you will see the content of the scraped fields in
a navigation facet for the given vocabulary
