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)
use directly HttpServletRequest. This is used to get the http protocol version
in HTTPDProxyHandler.fulfillRequestFromWeb() for error response to client.
- adjust YaCyProxyServlet and UrlProxyServlet accordingly
- use more http_version constants in headerframework and httpdeamon
- equalize servlets (3) use of HeaderFramework.CONNECTION_PROP_HOST to HeaderFramework.HOST
to split query into multiple parameter on line separator in input query.
e.g. split "crawldepth_i_0^10.0 \n crawldepth_i:1^5.0"
but allow "url_file_ext_s:jpg OR url_file_ext_s:png" to be unsplitted
to save the resources and keep handler chain small if the feature is not used.
+add a warning message on settingsack_p page to restart on first activation
been differently - and wrong for several files. also: base64-encoding
for gzipped push files because our data structures currently only
supports ASCII POST pushes..
- add filename to parameter fieldname
- add filecontent to special parameter fieldname$file
(some servlets use this $file parameter)
fix for http://mantis.tokeek.de/view.php?id=542
This was caused by reading via GZIP from close-wait connection an caused
high cpu- and system-loads.
Instat of implementing handling of the RedListener now I found a
timelimeted 'get' "realy" solving this problem.
This was caused by reading via GZIP from close-wait connection an caused
high cpu- and system-loads.
Solved by implementing handling of the RedListener.
This assigns priorities to incoming requests. Higher priority numbers are served before lower.
(disabled by default in defaults/web.xml,
uncomment or copy entry to DATA/Settings/web.xml)
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.
- if less or equal of 8 facet options are present, they are shown by
default
- if more facet options are present, they are hidden
To view or hide all facets, just click on the facet header bar
calculated from boostfields config, making sure title, description, keywords and content is always searched.
- apply change to solrServlet makes sure every remote query uses at least all locally defined boost fields for search
- apply to local solr search
- simplify select query by using QF defaults
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
luccioman