Class: Mvp::Stats
- Inherits:
-
Object
- Object
- Mvp::Stats
- Defined in:
- lib/mvp/stats.rb
Instance Method Summary collapse
- #authors ⇒ Object
-
#average(series) ⇒ Object
TODO: improve this to discard outliers and slightly weight larger series.
- #days_ago(datestr) ⇒ Object
- #draw_graph(series, width, title = nil) ⇒ Object
- #github ⇒ Object
-
#initialize(options = {}) ⇒ Stats
constructor
A new instance of Stats.
- #load(entity) ⇒ Object
- #modules ⇒ Object
- #relationships ⇒ Object
- #releases ⇒ Object
- #tally_author_info(releases, target, scope = 'module_count') ⇒ Object
- #test ⇒ Object
- #validations ⇒ Object
- #years_ago(datestr) ⇒ Object
Constructor Details
#initialize(options = {}) ⇒ Stats
Returns a new instance of Stats.
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# File 'lib/mvp/stats.rb', line 9 def initialize( = {}) @cachedir = [:cachedir] @today = Date.today @github_data = [:github_data] @output_file = [:output_file] end |
Instance Method Details
#authors ⇒ Object
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# File 'lib/mvp/stats.rb', line 71 def () data = load('authors').reject {|u| u['username'] == 'puppetlabs' } casual = data.select {|u| (2...10).include? u['module_count'] } prolific = data.select {|u| u['module_count'] > 9} topmost = data.sort_by {|u| u['module_count']}.reverse[0...20] releases = data.sort_by {|u| u['release_count']}.reverse[0...20] puts "* Prolific in this case is more than 9 released modules." draw_graph(casual.map {|u| u['module_count']}, 1, 'Number of modules from casual authors') draw_graph(prolific.map {|u| u['module_count']}, 5, 'Number of modules from prolific authors') puts puts puts "Author Statistics:" puts " └── Number of users: #{data.count}" puts " └── Number who have never published a module: #{data.select {|u| u['module_count'] == 0}.count}" puts " └── Number who have published a single module: #{data.select {|u| u['module_count'] == 1}.count}" puts " └── Number who have published multiple modules: #{data.select {|u| u['module_count'] > 1}.count}" puts " └── Number who have published two modules: #{data.select {|u| u['module_count'] == 2}.count}" puts " └── Number who have published more than 5 modules: #{data.select {|u| u['module_count'] > 5}.count}" puts " └── Number who have published more than 10 modules: #{data.select {|u| u['module_count'] > 10}.count}" puts " └── Number who have published more than 20 modules: #{data.select {|u| u['module_count'] > 20}.count}" puts " └── Number who have published more than 30 modules: #{data.select {|u| u['module_count'] > 30}.count}" puts " └── Number who have published more than 50 modules: #{data.select {|u| u['module_count'] > 50}.count}" puts puts "Top 20 prolific module authors by number of modules | number of releases:" topmost.each do || puts " └── %-55s: %d | %d" % [ "#{author['display_name']} (#{author['username']})", ['module_count'], ['release_count'] ] end puts puts "Top 20 active module authors by number of releases | number of modules:" releases.each do || puts " └── %-55s: %d | %d" % [ "#{author['display_name']} (#{author['username']})", ['release_count'], ['module_count'] ] end end |
#average(series) ⇒ Object
TODO: improve this to discard outliers and slightly weight larger series
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# File 'lib/mvp/stats.rb', line 32 def average(series) series.compact! return 0 if series.empty? series.inject(0.0) { |sum, el| sum + el } / series.size end |
#days_ago(datestr) ⇒ Object
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# File 'lib/mvp/stats.rb', line 39 def days_ago(datestr) @today - Date.parse(datestr) end |
#draw_graph(series, width, title = nil) ⇒ Object
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# File 'lib/mvp/stats.rb', line 20 def draw_graph(series, width, title = nil) series.compact! graph = [] (bins, freqs) = series.histogram(:bin_width => width) bins.each_with_index do |item, index| graph << [ item, freqs[index] ] end puts AsciiCharts::Cartesian.new(graph, :bar => true, :hide_zero => true, :title => title).draw end |
#github ⇒ Object
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# File 'lib/mvp/stats.rb', line 285 def github() require 'csv' require 'net/http' raise "Need to provide a data file to gather GitHub stats!" unless @github_data unfound = [] modules = load('modules').map {|m| m['slug']} CSV.foreach(@github_data) do |row| repo, stars = row next unless repo =~ /^\w+\/\w+$/ begin uri_path = "https://raw.githubusercontent.com/#{repo}/master/metadata.json" = JSON.parse(Net::HTTP.get(URI.parse(uri_path))) unless modules.include? ['name'].sub('/', '-') repo_path = "https://github.com/#{repo}" unfound << { :repo => repo_path, :stars => stars} end rescue => e puts "#{e.class} for #{uri_path}" end end # sort the list by number of stars, descending then alphabatize by repo unfound.sort! do |a, b| [b[:stars], a[:repo]] <=> [a[:stars], b[:repo]] end if @output_file CSV.open("outreach.csv", "w+") do |csv| unfound.each do |mod| csv << [ mod[:repo], mod[:stars] ] end end end puts "The following #{unfound.count} module repositories were not represented on the Forge:" unless unfound.empty? unfound.each do |mod| puts " └── %-65s: %d" % [ mod[:repo], mod[:stars] ] end end |
#load(entity) ⇒ Object
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# File 'lib/mvp/stats.rb', line 16 def load(entity) JSON.parse(File.read("#{@cachedir}/#{entity}.json")) end |
#modules ⇒ Object
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# File 'lib/mvp/stats.rb', line 113 def modules() data_m = load('modules').reject {|m| m['owner']['username'] == 'puppetlabs' } data_a = load('authors').reject {|u| u['username'] == 'puppetlabs' or u['module_count'] == 0} current = data_m.map {|m| m['current_release'] } (current, data_a, 'module_count') prolific = data_a.select{|a| a['impact']>1000}.sort_by {|a| a['impact']} topmost = data_a.sort_by {|a| a['impact']}.reverse[0...20] published = data_a.reject {|u| u['newest_release'].nil?} puts '* Validation score is a Forge ranking based on the scores of an individual module release.' puts "* I am defining impact as an author's average validation * the number of modules releases they've made / 100." puts "* Prolific in this case is impact > 100." draw_graph(current.map {|m| years_ago(m['created_at']).round(1)}, 0.5, 'Age (in years) distribution by module') draw_graph(published.map {|m| years_ago(m['newest_release']).round(1)}, 0.5, "Distribution of author's newest module by years old") draw_graph(current.map {|m| m['validation_score']}, 10, 'Validation score distribution by module') draw_graph(data_a.map {|a| average(a['scores']).to_i }, 10, 'Validation score distribution by author') draw_graph(prolific.map {|a| a['impact']/100 }, 5, 'Impact distribution by prolific authors') puts puts puts "Module Statistics:" puts " └── Number of modules: #{data_m.count}" puts " └── Modules less than a year old: #{current.select {|m| days_ago(m['created_at']) < 365}.count}" puts " └── Modules more than a year old: #{current.select {|m| days_ago(m['created_at']) > 365}.count}" puts " └── Modules more than two years old: #{current.select {|m| years_ago(m['created_at']) > 2}.count}" puts " └── Modules more than three years old: #{current.select {|m| years_ago(m['created_at']) > 3}.count}" puts " └── Modules more than four years old: #{current.select {|m| years_ago(m['created_at']) > 4}.count}" puts " └── Modules more than five years old: #{current.select {|m| years_ago(m['created_at']) > 5}.count}" puts " └── Authors with 'perfect' validation scores: #{data_a.select {|u| average(u['scores']).to_i == 100}.count}" puts " └── Authors who've released in the last year: #{published.select {|u| days_ago(u['newest_release']) < 365}.count}" puts " └── Authors with no outdated (1yr) modules: #{published.select {|u| days_ago(u['oldest_release']) < 365}.count}" puts puts "Top 20 high impact module authors by impact | number of modules:" topmost.each do || puts " └── %-55s: %d | %d" % [ "#{author['display_name']} (#{author['username']})", ['impact']/100, ['module_count'] ] end end |
#relationships ⇒ Object
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# File 'lib/mvp/stats.rb', line 238 def relationships() data_m = load('modules').reject {|m| m['owner']['username'] == 'puppetlabs' } data_a = load('authors').reject {|u| u['username'] == 'puppetlabs' or u['module_count'] == 0} current = data_m.map {|m| m['current_release'] } current.each do |mod| mod['metadata']['dependants'] = [] end current.each do |mod| mod['metadata']['dependencies'].each do |dependency| target = current.select {|m| m['metadata']['name'] == dependency['name'].sub('/','-')}.first next unless target target['metadata']['dependants'] << mod['metadata']['name'] end end data_a.each { |a| a['dependants'] = [] } current.each do |mod| count = mod['metadata']['dependants'].count next unless count > 0 = data_a.select{|m| m['username'] == mod['module']['owner']['username']}.first ['dependants'] << count end data_a.each { |a| a['average_dependants'] = average(a['dependants']) } top_mods = current.sort_by {|m| m['metadata']['dependants'].count}.reverse[0...20] connected = data_a.sort_by {|a| a['average_dependants'] }.reverse[0...20] low_conn = current.select {|m| (2..10).include? m['metadata']['dependants'].count} high_conn = current.select {|m| m['metadata']['dependants'].count > 10} draw_graph(low_conn.map {|m| m['metadata']['dependants'].count }, 1, 'Number of dependent modules for low connection modules') draw_graph(high_conn.map {|m| m['metadata']['dependants'].count }, 10, 'Number of dependent modules for high connection modules') draw_graph(connected.map {|a| a['average_dependants'].to_i }, 5, 'Average number of dependent modules by author') puts puts "Top 20 connected module authors by number of dependants | number of modules | number of releases:" connected.each do || puts " └── %-55s: %s | %d | %d" % [ "#{author['display_name']} (#{author['username']})", ['average_dependants'].to_i, ['module_count'], ['release_count'] ] end end |
#releases ⇒ Object
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# File 'lib/mvp/stats.rb', line 157 def releases() data_r = load('releases').reject {|m| m['module']['owner']['username'] == 'puppetlabs' } data_a = load('authors').reject {|u| u['username'] == 'puppetlabs' or u['module_count'] == 0} (data_r, data_a, 'release_count') impactful = data_a.select{|a| a['impact']>5000}.sort_by {|a| a['impact']} topmost = data_a.sort_by {|a| a['impact']}.reverse[0...20] published = data_a.reject {|u| u['newest_release'].nil?} multiple = published.select {|u| u['module_count'] > 1} prolific = published.select {|u| u['module_count'] > 9} current = multiple.sort_by {|a| days_ago(a['oldest_release'])}[0...20] # Authors that used to be active, but don't seem to be any more faded = published.select do || count_old = ['release_dates'].select {|r| years_ago(r) > 2 }.count count_new = ['release_dates'].select {|r| years_ago(r) < 1.5 }.count (count_old > 25 and count_old > (50*count_new)) end oldest = years_ago(faded.map { |u| u['release_dates']}.flatten.max_by {|r| days_ago(r) }).to_i faded.each do || ['annual_releases'] = [] (1..oldest).each do |age| ['annual_releases'] << ['release_dates'].select {|r| years_ago(r).to_i == age }.count end ['annual_releases'].reverse! end puts '* Validation score is a Forge ranking based on the scores of an individual module release.' puts "* I am defining impact as an author's average validation * the number of modules releases they've made / 100." puts "* Prolific in this case is more than 9 released modules." draw_graph(data_a.map {|a| average(a['scores']).to_i }, 10, 'Validation score distribution by author') draw_graph(impactful.map {|a| a['impact']/100 }, 50, 'Impact distribution by impactful authors') puts puts puts "Release Statistics:" puts " └── Number of releases: #{data_r.count}" puts " └── Authors with no releases: #{data_a.count - published.count}" puts " └── Authors with only a single releases: #{published.count - multiple.count}" puts " └── Authors with no releases in one year: #{published.select {|m| years_ago(m['newest_release']) >1}.count}" puts " └── Authors with no releases in two years: #{published.select {|m| years_ago(m['newest_release']) >2}.count}" puts " └── Authors with no releases in three years: #{published.select {|m| years_ago(m['newest_release']) >3}.count}" puts " └── Authors with no releases in four years: #{published.select {|m| years_ago(m['newest_release']) >4}.count}" puts " └── Authors with no releases in five years: #{published.select {|m| years_ago(m['newest_release']) >5}.count}" puts " └── Authors with multiple releases, all newer than a month: #{multiple.select {|u| days_ago(u['oldest_release']) < 30}.count}" puts " └── Authors with multiple releases, all newer than 3 months: #{multiple.select {|u| days_ago(u['oldest_release']) < 90}.count}" puts " └── Authors with multiple releases, all newer than 6 months: #{multiple.select {|u| days_ago(u['oldest_release']) < 180}.count}" puts " └── Authors with multiple releases, all newer than a year: #{multiple.select {|u| days_ago(u['oldest_release']) < 365}.count}" puts " └── Prolific authors, with releases all newer than 3 months: #{prolific.select {|u| days_ago(u['oldest_release']) < 90}.count}" puts " └── Prolific authors, with releases all newer than 6 months: #{prolific.select {|u| days_ago(u['oldest_release']) < 180}.count}" puts " └── Prolific authors, with releases all newer than a year: #{prolific.select {|u| days_ago(u['oldest_release']) < 365}.count}" puts " └── Prolific authors, with releases all newer than 2 years: #{prolific.select {|u| years_ago(u['oldest_release']) < 2}.count}" puts puts "Top 20 high impact module authors by impact | number of releases:" topmost.each do || puts " └── %-55s: %d | %d" % [ "#{author['display_name']} (#{author['username']})", ['impact']/100, ['release_count'] ] end puts puts "Top 20 current module authors by oldest release | number of releases:" current.each do || puts " └── %-55s: %s | %d" % [ "#{author['display_name']} (#{author['username']})", Date.parse(['oldest_release']).strftime('%v'), ['release_count'] ] end puts puts "Authors who are no longer as active as they used to be:" faded.each do || puts " └── %-55s: %s %s" % [ "#{author['display_name']} (#{author['username']})", Sparkr.sparkline(['annual_releases']), ['annual_releases'].to_s ] end end |
#tally_author_info(releases, target, scope = 'module_count') ⇒ Object
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# File 'lib/mvp/stats.rb', line 47 def (releases, target, scope='module_count') # update the author records with the fields we need target.each do || ['release_dates'] = [] ['scores'] = [] end releases.each do |mod| username = mod['module']['owner']['username'] score = mod['validation_score'] = target.select{|m| m['username'] == username}.first ['release_dates'] << mod['created_at'] ['scores'] << score if score end target.each do || ['average'] = average(['scores']).to_i ['impact'] = ['average'] * [scope] ['newest_release'] = ['release_dates'].max_by {|r| Date.parse(r) } ['oldest_release'] = ['release_dates'].min_by {|r| Date.parse(r) } end end |
#test ⇒ Object
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# File 'lib/mvp/stats.rb', line 334 def test() require 'pry' binding.pry end |
#validations ⇒ Object
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# File 'lib/mvp/stats.rb', line 330 def validations() puts 'got nothing for you yet' end |
#years_ago(datestr) ⇒ Object
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# File 'lib/mvp/stats.rb', line 43 def years_ago(datestr) days_ago(datestr)/365 end |