Class: GRuby::Analytics
- Inherits:
-
Object
- Object
- GRuby::Analytics
- Defined in:
- lib/g_ruby/analytics.rb
Class Method Summary collapse
-
.accounts(access_token, pid) ⇒ Object
GRuby::Analytics.accounts(access_token, pid).
- .generate_delta_explaination(d_this, d_last, refresh) ⇒ Object
-
.get(access_token, start_date, end_date, profile_id, metrics, dimensions = nil, sort = nil, limit = nil) ⇒ Object
GRuby::Analytics.get(access_token, start_date, end_date, profile_id, metrics, dimensions, sort, max_results).
-
.get_with_delta(access_token, start_date, end_date, profile_id, metrics, dimensions = nil, sort = nil, limit = nil, refresh = nil) ⇒ Object
GRuby::Analytics.get_with_delta(ak.app_password, genesis, date_today, ak.entity_name, “ga:visits”, “ga:socialNetwork”, “-ga:visits”, 11, refresh) GRuby::Analytics.get_with_delta(access_token, start_date, end_date, profile_id, metrics, dimensions, sort, max_results).
Class Method Details
.accounts(access_token, pid) ⇒ Object
GRuby::Analytics.accounts(access_token, pid)
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# File 'lib/g_ruby/analytics.rb', line 8 def self.accounts(access_token, pid) url = "https://www.googleapis.com/analytics/v3/management/accounts?access_token=#{access_token}" a = GRuby::Util.get_json(Nestful.get(url)) response_obj = [] if !a.blank? if !a["items"].blank? if !a["items"].first.blank? a["items"].each do |account| if !account["id"].blank? url_w = "https://www.googleapis.com/analytics/v3/management/accounts/#{account['id'].to_s}/webproperties?access_token=#{access_token}" w = GRuby::Util.get_json(Nestful.get(url_w)) if !w.blank? if !w["items"].blank? if !w["items"].first.blank? w["items"].each do |webprop| if !webprop["id"].blank? url_p = "https://www.googleapis.com/analytics/v3/management/accounts/#{account['id'].to_s}/webproperties/#{webprop['id'].to_s}/profiles?access_token=#{access_token}" p = GRuby::Util.get_json(Nestful.get(url_p)) if !p.blank? if !p["items"].blank? if !p["items"].first.blank? p["items"].each do |prof| if !prof["id"].blank? if pid == prof["id"] response_obj << [account["id"], webprop["id"], prof["created"]] end end end end end end end end end end end end end end end end return response_obj end |
.generate_delta_explaination(d_this, d_last, refresh) ⇒ Object
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# File 'lib/g_ruby/analytics.rb', line 180 def self.generate_delta_explaination(d_this, d_last, refresh) if !d_this.blank? and !d_last.blank? d_this_to_s = d_this.to_s.gsub(".0", "") d_last_to_s = d_last.to_s.gsub(".0", "") return (refresh == "last_30") ? "Last 31 to 60 days: #{d_last_to_s}" : "Last 30 days: #{d_this_to_s}; Last 31 to 60 days: #{d_last_to_s}" else return nil end end |
.get(access_token, start_date, end_date, profile_id, metrics, dimensions = nil, sort = nil, limit = nil) ⇒ Object
GRuby::Analytics.get(access_token, start_date, end_date, profile_id, metrics, dimensions, sort, max_results)
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# File 'lib/g_ruby/analytics.rb', line 71 def self.get(access_token, start_date, end_date, profile_id, metrics, dimensions=nil, sort=nil, limit=nil) #begin url = "https://www.googleapis.com/analytics/v3/data/ga?access_token=#{access_token}&start-date=#{start_date}&end-date=#{end_date}&ids=ga:#{profile_id}&metrics=#{metrics}" url = url + "&dimensions=#{dimensions}" if !dimensions.blank? url = url + "&sort=#{sort}" if !sort.blank? url = url + "&max-results=#{limit}" if !limit.blank? a = GRuby::Util.get_json(Nestful.get(url)) if !a.blank? if !a["totalsForAllResults"].blank? if dimensions.blank? return a["totalsForAllResults"] else return a["rows"] end end end return nil #rescue => e #return {status: "failed", error: e.inspect} #end end |
.get_with_delta(access_token, start_date, end_date, profile_id, metrics, dimensions = nil, sort = nil, limit = nil, refresh = nil) ⇒ Object
GRuby::Analytics.get_with_delta(ak.app_password, genesis, date_today, ak.entity_name, “ga:visits”, “ga:socialNetwork”, “-ga:visits”, 11, refresh)
GRuby::Analytics.get_with_delta(access_token, start_date, end_date, profile_id, metrics, dimensions, sort, max_results)
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# File 'lib/g_ruby/analytics.rb', line 97 def self.get_with_delta(access_token, start_date, end_date, profile_id, metrics, dimensions=nil, sort=nil, limit=nil, refresh=nil) #begin response_obj = [] d30_days_ago = (Date.today - 30).to_time.strftime("%Y-%m-%d").to_s d60_days_ago = (Date.today - 60).to_time.strftime("%Y-%m-%d").to_s date_today = Time.now.strftime("%Y-%m-%d") a0 = GRuby::Analytics.get(access_token, start_date, end_date, profile_id, metrics, dimensions, sort, limit) if !a0.blank? a30 = GRuby::Analytics.get(access_token, d30_days_ago, date_today, profile_id, metrics, dimensions, sort, nil) a60 = GRuby::Analytics.get(access_token, d60_days_ago, d30_days_ago, profile_id, metrics, dimensions, sort, nil) if a0.class.to_s != "Array" return a0 if a0[:status] == "failed" elsif a30.class.to_s != "Array" return a30 if a30[:status] == "failed" elsif a60.class.to_s != "Array" return a60 if a60[:status] == "failed" end if dimensions.blank? metrics.split(",").each do |metric| d_this = a30[metric].to_i d_last = a60[metric].to_i dd = GRuby::Analytics.generate_delta_explaination(d_this, d_last, refresh) if d_last == 0 response_obj << {tag: metric.gsub("ga:", ""), val: a0[metric], delta: 0, delta_explaination: dd} else response_obj << {tag: metric.gsub("ga:", ""), val: a0[metric], delta: ((d_this - d_last) * 100 / d_last), delta_explaination: dd} end end elsif dimensions.split(",").count == 1 and metrics.split(",").count == 1 a0.each do |i| d_this = nil d_last = nil a30.each do |j| d_this = j[1].to_i if j[0] == i[0] end a60.each do |k| d_last = k[1].to_i if k[0] == i[0] end dd = GRuby::Analytics.generate_delta_explaination(d_this, d_last, refresh) if d_last == 0 del = 0 else del = ((d_this.to_i - d_last.to_i) * 100 / d_last.to_f) end response_obj << {tag: metrics.gsub("ga:", ""), val: i[1], dimension: i[0], delta: del, delta_explaination: dd} end elsif dimensions.split(",").count > 1 and metrics.split(",").count == 1 a0.each do |i| d_this = nil d_last = nil if dimensions == "ga:source,ga:medium" k3 = i[1]=='referral' ? 'OtherSources' : (i[1]=='(none)' and i[0]=="(direct)") ? 'DirectSource' : 'searchEngine' elsif dimensions == "ga:keyword,ga:medium" k3 = i[1] == 'organic' ? 'OrganicKeywords' : 'PaidKeywords' end a30.each do |j| d_this = j[2] if (j[0] == i[0] and j[1] == i[1]) end a60.each do |k| d_last = k[2] if (k[0] == i[0] and k[1] == i[1]) end dd = GRuby::Analytics.generate_delta_explaination(d_this, d_last, refresh) if d_last.to_f == 0 del = 0 else del = ((d_this.to_i - d_last.to_i) * 100 / d_last.to_f) end response_obj << {tag: i[0], val: i[2], dimension: k3, delta: del, delta_explaination: dd} end end end return response_obj #rescue => e #return {status: "failed", error: e.inspect} #end end |