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author | gebele <gebele@in-silico.ch> | 2018-04-13 09:12:10 +0000 |
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committer | gebele <gebele@in-silico.ch> | 2018-04-13 09:12:10 +0000 |
commit | f78d888a249303379c7934c83d5da11349a44b48 (patch) | |
tree | 93bf6e7cb7e9d93c9e5a8d3936359fbbdede511f | |
parent | 53da85660cc761fd49b33097ced875e09d3e9eed (diff) |
duplicate warning at bottom of batch result file
-rw-r--r-- | application.rb | 20 |
1 files changed, 19 insertions, 1 deletions
diff --git a/application.rb b/application.rb index 8f78845..9c6f63e 100644 --- a/application.rb +++ b/application.rb @@ -164,7 +164,13 @@ get '/predict/csv/:task/:model/:filename/?' do else header = task.csv lines = [] - task.predictions[params[:model]].each_with_index{|p,idx| lines << "#{idx+1},#{Prediction.find(p).csv}"} + task.predictions[params[:model]].each_with_index do |p,idx| + if p.is_a? BSON::ObjectId + lines << "#{idx+1},#{Prediction.find(p).csv}" + else + lines << "#{idx+1},#{p}\n" + end + end csv = header + lines.join("") tempfile.write(csv) end @@ -336,6 +342,12 @@ post '/predict/?' do predictions["Cramer rules, with extensions"] = output["cramer_rules_extensions"].collect{|rule| rule != "nil" ? rule : "none"} predictions["compounds"] = @compounds.collect{|c| c.id} + if @dataset.warnings + @dataset.warnings.each do |warning| + w = warning.split(".").first + csv << w.sub(/,/," and")+"\n" + end + end # write csv t[:csv] = csv # write predictions @@ -345,6 +357,12 @@ post '/predict/?' do # save task # append predictions as last action otherwise they won't save # mongoid works with shallow copy via #dup + if @dataset.warnings + @dataset.warnings.each do |warning| + w = warning.split(".").first + @predictions["#{model}"] << w.sub(/,/," and") + end + end t[:predictions] = @predictions t.save end#models |