Mojo Facets - server side facet browsing using Mojolicious and jQuery UI
-Put JSON file from Simile Exhibit project in data/
+Data sources:
+
+Put JSON file from Simile Exhibit project in data/ with extension .js or .json
+
+Alternative format is pipe (|) separated text files with extension .txt
+First column is always header with field names
+Multi-line values should be wrapped in ^multi-line-text^
+
+If you save bounch of html files with table in directory with .html extension, they will
+we all read as single data set, allowing easy analysys of search results, for example.
+
Start with:
-LANG=hr_HR.utf8 ./script/mojo_facets daemon --reload
+ LANG=hr_HR.utf8 ./script/mojo_facets daemon --reload
+
+
+Data replication:
+
+ # master
+ ./script/mojo_facets daemon --listen 'http://*:4444' --reload
+
+ # slave
+ MASTER=http://localhost:4444 ./script/mojo_facets daemon --reload
+
+
+Turning actions into changes:
+
+There are two kinds of audit log in MojoFacets:
+
+1. actions stored in /tmp/actions are clicks on user interface with parameters
+
+2. changes are more structured, including old value and unique values from
+ edit of one value in dataset
+
+If you want to create changes which can be applied again on original dataset or
+any other dataset which has same unique values you can use helper script:
+
+ $ ./script/actions-to-changes /data/mojo_facets/*
+
+
+Modify your data using perl snippets
+
+Experimental REPL console supports perl snippets which get $rec hash which is one
+element from your dataset. All values are repetable, so you always have to create
+array of values if you are creating new columns, even for single value.
+
+* generate new columns with number of elements in some other column
+
+ $rec->{count} = [ $#{ $rec->{original} } + 1 ];
+
+* generate century column from year
+
+ foreach my $year ( @{ $rec->{Year} } ) {
+ push @{ $rec->{century} }, int($year/100)+1;
+ }
projects / MojoFacets.git / blobdiff