Add and apply Style/RedundantBegin rubocop rule
We're about to add code which might fall into the `RedundantBegin` category, so we're adding the rule in order to prevent that.
This commit is contained in:
@@ -781,6 +781,9 @@ Style/RaiseArgs:
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Style/RedundantArgument:
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Style/RedundantArgument:
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Enabled: true
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Enabled: true
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Style/RedundantBegin:
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Enabled: true
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Style/RedundantCondition:
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Style/RedundantCondition:
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Enabled: true
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Enabled: true
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@@ -9,25 +9,23 @@ class GraphqlController < ApplicationController
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class QueryStringError < StandardError; end
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class QueryStringError < StandardError; end
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def execute
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def execute
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begin
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raise GraphqlController::QueryStringError if query_string.nil?
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raise GraphqlController::QueryStringError if query_string.nil?
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result = ConsulSchema.execute(
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result = ConsulSchema.execute(
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query_string,
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query_string,
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variables: prepare_variables,
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variables: prepare_variables,
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context: {},
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context: {},
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operation_name: params[:operationName]
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operation_name: params[:operationName]
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)
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)
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render json: result
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render json: result
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rescue GraphqlController::QueryStringError
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rescue GraphqlController::QueryStringError
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render json: { message: "Query string not present" }, status: :bad_request
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render json: { message: "Query string not present" }, status: :bad_request
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rescue JSON::ParserError
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rescue JSON::ParserError
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render json: { message: "Error parsing JSON" }, status: :bad_request
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render json: { message: "Error parsing JSON" }, status: :bad_request
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rescue GraphQL::ParseError
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rescue GraphQL::ParseError
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render json: { message: "Query string is not valid JSON" }, status: :bad_request
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render json: { message: "Query string is not valid JSON" }, status: :bad_request
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rescue ArgumentError => e
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rescue ArgumentError => e
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render json: { message: e.message }, status: :bad_request
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render json: { message: e.message }, status: :bad_request
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end
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end
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end
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private
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private
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@@ -25,23 +25,21 @@ class Legislation::Annotation < ApplicationRecord
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end
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end
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def store_context
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def store_context
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begin
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html = draft_version.body_html
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html = draft_version.body_html
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doc = Nokogiri::HTML(html)
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doc = Nokogiri::HTML(html)
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selector_start = "/html/body/#{range_start}"
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selector_start = "/html/body/#{range_start}"
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el_start = doc.at_xpath(selector_start)
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el_start = doc.at_xpath(selector_start)
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selector_end = "/html/body/#{range_end}"
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selector_end = "/html/body/#{range_end}"
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el_end = doc.at_xpath(selector_end)
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el_end = doc.at_xpath(selector_end)
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remainder_el_start = el_start.text[0..range_start_offset - 1] unless range_start_offset.zero?
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remainder_el_start = el_start.text[0..range_start_offset - 1] unless range_start_offset.zero?
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remainder_el_end = el_end.text[range_end_offset..-1]
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remainder_el_end = el_end.text[range_end_offset..-1]
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self.context = "#{remainder_el_start}<span class=annotator-hl>#{quote}</span>#{remainder_el_end}"
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self.context = "#{remainder_el_start}<span class=annotator-hl>#{quote}</span>#{remainder_el_end}"
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rescue
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rescue
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"<span class=annotator-hl>#{quote}</span>"
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"<span class=annotator-hl>#{quote}</span>"
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end
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end
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end
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def create_first_comment
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def create_first_comment
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@@ -15,57 +15,55 @@ class MachineLearning
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end
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end
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def run
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def run
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begin
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export_proposals_to_json
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export_proposals_to_json
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export_budget_investments_to_json
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export_budget_investments_to_json
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export_comments_to_json
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export_comments_to_json
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return unless run_machine_learning_scripts
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return unless run_machine_learning_scripts
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if updated_file?(MachineLearning.proposals_taggings_filename) &&
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if updated_file?(MachineLearning.proposals_taggings_filename) &&
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updated_file?(MachineLearning.proposals_tags_filename)
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updated_file?(MachineLearning.proposals_tags_filename)
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cleanup_proposals_tags!
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cleanup_proposals_tags!
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import_ml_proposals_tags
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import_ml_proposals_tags
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update_machine_learning_info_for("tags")
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update_machine_learning_info_for("tags")
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end
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if updated_file?(MachineLearning.investments_taggings_filename) &&
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updated_file?(MachineLearning.investments_tags_filename)
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cleanup_investments_tags!
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import_ml_investments_tags
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update_machine_learning_info_for("tags")
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end
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if updated_file?(MachineLearning.proposals_related_filename)
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cleanup_proposals_related_content!
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import_proposals_related_content
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update_machine_learning_info_for("related_content")
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end
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if updated_file?(MachineLearning.investments_related_filename)
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cleanup_investments_related_content!
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import_budget_investments_related_content
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update_machine_learning_info_for("related_content")
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end
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if updated_file?(MachineLearning.proposals_comments_summary_filename)
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cleanup_proposals_comments_summary!
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import_ml_proposals_comments_summary
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update_machine_learning_info_for("comments_summary")
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end
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if updated_file?(MachineLearning.investments_comments_summary_filename)
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cleanup_investments_comments_summary!
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import_ml_investments_comments_summary
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update_machine_learning_info_for("comments_summary")
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end
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job.update!(finished_at: Time.current)
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Mailer.machine_learning_success(user).deliver_later
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rescue Exception => e
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handle_error(e)
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raise e
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end
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end
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if updated_file?(MachineLearning.investments_taggings_filename) &&
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updated_file?(MachineLearning.investments_tags_filename)
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cleanup_investments_tags!
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import_ml_investments_tags
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update_machine_learning_info_for("tags")
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end
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if updated_file?(MachineLearning.proposals_related_filename)
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cleanup_proposals_related_content!
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import_proposals_related_content
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update_machine_learning_info_for("related_content")
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end
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if updated_file?(MachineLearning.investments_related_filename)
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cleanup_investments_related_content!
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import_budget_investments_related_content
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update_machine_learning_info_for("related_content")
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end
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if updated_file?(MachineLearning.proposals_comments_summary_filename)
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cleanup_proposals_comments_summary!
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import_ml_proposals_comments_summary
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update_machine_learning_info_for("comments_summary")
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end
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if updated_file?(MachineLearning.investments_comments_summary_filename)
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cleanup_investments_comments_summary!
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import_ml_investments_comments_summary
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update_machine_learning_info_for("comments_summary")
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end
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job.update!(finished_at: Time.current)
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Mailer.machine_learning_success(user).deliver_later
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rescue Exception => e
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handle_error(e)
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raise e
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end
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end
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handle_asynchronously :run, queue: "machine_learning"
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handle_asynchronously :run, queue: "machine_learning"
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@@ -84,18 +84,16 @@ end
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task :install_ruby do
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task :install_ruby do
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on roles(:app) do
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on roles(:app) do
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within release_path do
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within release_path do
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begin
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current_ruby = capture(:rvm, "current")
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current_ruby = capture(:rvm, "current")
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rescue SSHKit::Command::Failed
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rescue SSHKit::Command::Failed
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after "install_ruby", "rvm1:install:rvm"
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after "install_ruby", "rvm1:install:ruby"
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else
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if current_ruby.include?("not installed")
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after "install_ruby", "rvm1:install:rvm"
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after "install_ruby", "rvm1:install:rvm"
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after "install_ruby", "rvm1:install:ruby"
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after "install_ruby", "rvm1:install:ruby"
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else
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else
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if current_ruby.include?("not installed")
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info "Ruby: Using #{current_ruby}"
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after "install_ruby", "rvm1:install:rvm"
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after "install_ruby", "rvm1:install:ruby"
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else
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info "Ruby: Using #{current_ruby}"
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end
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end
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end
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end
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end
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end
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end
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@@ -104,19 +102,17 @@ end
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task :install_node do
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task :install_node do
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on roles(:app) do
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on roles(:app) do
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with rails_env: fetch(:rails_env) do
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with rails_env: fetch(:rails_env) do
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execute fetch(:fnm_install_node_command)
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rescue SSHKit::Command::Failed
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begin
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begin
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execute fetch(:fnm_install_node_command)
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execute fetch(:fnm_setup_command)
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rescue SSHKit::Command::Failed
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rescue SSHKit::Command::Failed
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begin
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execute fetch(:fnm_install_command)
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execute fetch(:fnm_setup_command)
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else
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rescue SSHKit::Command::Failed
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execute fetch(:fnm_update_command)
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execute fetch(:fnm_install_command)
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else
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execute fetch(:fnm_update_command)
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end
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execute fetch(:fnm_install_node_command)
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end
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end
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execute fetch(:fnm_install_node_command)
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end
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end
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end
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end
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end
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end
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@@ -11,13 +11,11 @@ describe Officing::VotersController do
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2.times.map do
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2.times.map do
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Thread.new do
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Thread.new do
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begin
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post :create, params: {
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post :create, params: {
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voter: { poll_id: poll.id, user_id: user.id },
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voter: { poll_id: poll.id, user_id: user.id },
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format: :js
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format: :js
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}
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}
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rescue ActionDispatch::IllegalStateError
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rescue ActionDispatch::IllegalStateError
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end
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end
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end
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end.each(&:join)
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end.each(&:join)
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@@ -8,14 +8,12 @@ describe Polls::AnswersController do
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2.times.map do
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2.times.map do
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Thread.new do
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Thread.new do
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begin
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post :create, params: {
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post :create, params: {
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question_id: question.id,
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question_id: question.id,
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option_id: question.question_options.find_by(title: "Answer A").id,
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option_id: question.question_options.find_by(title: "Answer A").id,
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format: :js
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format: :js
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}
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}
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rescue ActionDispatch::IllegalStateError, ActiveRecord::RecordInvalid
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rescue ActionDispatch::IllegalStateError, ActiveRecord::RecordInvalid
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end
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end
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end
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end.each(&:join)
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end.each(&:join)
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@@ -187,10 +187,8 @@ describe Poll::Answer do
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[answer, other_answer].map do |poll_answer|
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[answer, other_answer].map do |poll_answer|
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Thread.new do
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Thread.new do
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begin
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poll_answer.save_and_record_voter_participation
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poll_answer.save_and_record_voter_participation
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rescue ActiveRecord::RecordInvalid
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rescue ActiveRecord::RecordInvalid
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end
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end
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end
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end.each(&:join)
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end.each(&:join)
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@@ -18,14 +18,12 @@ module GraphQLAPI
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def extract_fields(response, collection_name, field_chain)
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def extract_fields(response, collection_name, field_chain)
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fields = field_chain.split(".")
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fields = field_chain.split(".")
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dig(response, "data.#{collection_name}.edges").map do |node|
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dig(response, "data.#{collection_name}.edges").map do |node|
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begin
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if fields.size > 1
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if fields.size > 1
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node["node"][fields.first][fields.second]
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node["node"][fields.first][fields.second]
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else
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else
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node["node"][fields.first]
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node["node"][fields.first]
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end
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rescue NoMethodError
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end
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end
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rescue NoMethodError
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end.compact
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end.compact
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end
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end
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end
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end
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Reference in New Issue
Block a user