keeping surrogates after processing is essential for some users. If the
space they are taking is too high, please set up an automatic deletion
process (like a cronjob).
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)
as we flag if a peer is accesible via https, we need to know the port if we want to use is (e.g. for interYaCy communication)
start to provide / tansport the port by recording it in peers dna.
- add https link on the Network.html lock symbol
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.
collections in search result. When selecting one of them in another
search, switch off the previously selected collection. This actually
turns the collection navigation modifier into a radio-button like
behaviour
- 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
for location nav facet of field coordinate_p does not return results, now using coordinate_p_0_coordinate as alternative to get facet counts. As the actual facet value is not used this should not harm any analysis (even if facet is a incomplete location).
If facet value is used in future likely *_geohash field could be introduced (for facet and other ... as transport value)
interface to distinguish rich and poor document data.
This also reverts some changes from commit
796770e070 because the firstSeen database
is the wrong method to distinguish these types of data
To protect rich index data (full resource) from overwriting by metadata gathered during remote search,
the newly introduced "firstSeen" index is used to differentiate between full-resource-doc and metadata,
as a "firstSeen" entry is only added on store's of full-resource-docs (during crawl or remote search).
So far we used same escape procedure for all parts of the url (which includes x-www-form-urlencoded for all url components)
Added capability to use different encoding rules for the different url components (through specific bitset for each component).
(this is inspired by org.apache.http.client and java.net.uri implementation).
- Added test case for http://mantis.tokeek.de/view.php?id=559
http://mantis.tokeek.de/view.php?id=505
It happens but not able to reproduce. This change makes sure terminate signal is catched at end of currently running merge jobs
to considere description_txt always (solr hl & internal).
For now just added desc to text list for computation, could be further equalized with hl computation.
- if an eventDate is given in the search result, replace the document
date with the event date and prefix it with the string "on ".
- the document date is omitted if a date from the cent is shown
Added also the date as fields in the json and rss result sets.
- 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.
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
If the url contains special chars (like umlaute äöü) it's interpreted as multybyte char and actually not converted at all (removed).
Added a check if the multibyte convesion is not complete, just add the char as is.
This fixes http://mantis.tokeek.de/view.php?id=200
This is useful in intranet indexing while crawling a intranet file server accessed via hostname while e.g. under Windows mapped to different drive letters on individual clients.
Here you can crawl e.g. file://fileserver/documents having a valid uri in that intranet environment (while e.g. P:/documents might be client dependant).
After several tests found that eom is not prevented. Major reason in testing was assumption future GC will free avg of last 5 GC.
Disabeling this check improved eom exceptions.
Added simplest testcase used for verification
did not terminate:
Occurrences: 100
at java.util.HashMap$KeyIterator.next(HashMap.java:956)
at
net.yacy.cora.protocol.ConnectionInfo.cleanup(ConnectionInfo.java:300)
at
net.yacy.cora.protocol.ConnectionInfo.cleanUp(ConnectionInfo.java:293)
at net.yacy.search.Switchboard.cleanupJob(Switchboard.java:2212)
at sun.reflect.GeneratedMethodAccessor12.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
net.yacy.kelondro.workflow.InstantBusyThread.job(InstantBusyThread.java:105)
at
net.yacy.kelondro.workflow.AbstractBusyThread.run(AbstractBusyThread.java:215)
This tries to fix the problem; the problem should be monitored
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