File config.rb changed (mode: 100644) (index 22d80d3..f48a5ef) |
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require 'redis'
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require 'ostruct'
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require 'json'
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CONFIG = OpenStruct.new
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CONFIG.redis_db_index = 1
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CONFIG.redis = Redis.new(:db => CONFIG.redis_db_index)
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CONFIG.graph_index_key = 'all_graphs'
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# initialise octothorpes
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CONFIG.info_index_key = Hash.new
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CONFIG.node_index_key = Hash.new
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CONFIG.metric_index_key = Hash.new
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CONFIG.score_index_key = Hash.new
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CONFIG.percolation_index_key = Hash.new
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CONFIG.layout_index_key = Hash.new
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CONFIG.node_neighbors_prefix = Hash.new
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CONFIG.node_prefix = Hash.new
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CONFIG.metric_prefix = Hash.new
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CONFIG.score_prefix = Hash.new
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CONFIG.statistics_prefix = Hash.new
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CONFIG.percolation_prefix = Hash.new
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CONFIG.metric_names = Hash.new
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CONFIG.score_names = Hash.new
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CONFIG.percolation_methods = Hash.new
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CONFIG.percolation_pctages = Hash.new
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CONFIG.layout_names = Hash.new
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CONFIG.all_graphs = CONFIG.redis.smembers(CONFIG.graph_index_key)
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# for each graph in all_graphs
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CONFIG.all_graphs.each do |graph|
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CONFIG.info_index_key.store(graph, graph+':'+'general_info')
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CONFIG.node_index_key.store(graph, graph+':'+'all_nodes')
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CONFIG.metric_index_key.store(graph, graph+':'+'all_metrics')
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CONFIG.score_index_key.store(graph, graph+':'+'all_scores')
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CONFIG.percolation_index_key.store(graph, graph+':'+'all_percolation_modes')
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CONFIG.layout_index_key.store(graph,graph+':'+'all_layouts')
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CONFIG.node_neighbors_prefix.store(graph, graph+':'+'node_neighbors:')
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CONFIG.node_prefix.store(graph, graph+':'+'node_metrics:')
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CONFIG.metric_prefix.store(graph, graph+':'+'metric:')
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CONFIG.score_prefix.store(graph, graph+':'+'score:')
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CONFIG.statistics_prefix.store(graph, graph+':'+'statistics:')
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CONFIG.percolation_prefix.store(graph, graph+':'+'percolation:')
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#automatic retrieval and naive naming of available metrics from Redis
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CONFIG.metric_names[graph] = CONFIG.redis.smembers(CONFIG.metric_index_key[graph]).inject({}) do |h,metric|
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h[metric] = metric.split('_').map(&:capitalize).join(' ')
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h
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end
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#CONFIG.metric_names = {
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# 'clustering_coefficient' => "Clustering Coefficient",
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# 'corrected_clustering_coefficient' => "Clustering Coefficient (Corrected)",
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# 'degree' => "Node Degree",
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# 'average_neighbor_degree' => "Average Neighbor Degree",
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# 'corrected_average_neighbor_degree' => "Average Neighbor Degree (Corrected)",
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# 'iterated_average_neighbor_degree' => "Iterated Average Neighbor Degree",
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# 'corrected_iterated_average_neighbor_degree' => "Iterated Average Neighbor Degree (Corrected)",
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# 'betweenness_centrality' => "Betweenness Centrality",
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# 'eccentricity' => "Eccentricity",
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# 'average_shortest_path_length' => "Average Shortest Path Length"
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#}
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#automatic retrieval and naive naming of available scores from Redis
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CONFIG.score_names[graph] = CONFIG.redis.smembers(CONFIG.score_index_key[graph]).inject({}) do |h,score|
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h[score] = score.split('_').map(&:capitalize).join(' ')
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h
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end
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# scores have to be readable in redis
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#CONFIG.score_names = {
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# 'unified_risk_score' => "Unified Risk Score (URS)",
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# 'advanced_unified_risk_score' => "Advanced URS"
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#}
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#puts JSON.parse(CONFIG.redis.smembers(CONFIG.node_index_key[graph]).to_s)
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#automatic retrieval and naive naming of available percolation methods from Redis
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CONFIG.percolation_methods[graph] = CONFIG.redis.smembers(CONFIG.percolation_index_key[graph]).inject({}) do |h,method|
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# h[method] = method.split(':').map{|string| string.capitalize}.join(' - ').split('_').map(&:capitalize).join(' ')
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h[method] = method.split(':').map{|string| string.split('_').map(&:capitalize).join(' ')}.join(' - ')
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h
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end
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#retrieval of percolation percentages
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CONFIG.percolation_pctages[graph] = CONFIG.redis.hget(CONFIG.info_index_key[graph], 'percentages').split(';')
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#automatic retrieval and naive naming of available layouts from Redis
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CONFIG.layout_names[graph] = CONFIG.redis.smembers(CONFIG.layout_index_key[graph]).inject({}) do |h,layout|
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h[layout] = layout.split('_').map(&:capitalize).join(' ')
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h
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end
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end
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CONFIG.normalization_suffix = '_normalized'
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CONFIG.statistical_indicators = { 'min' => "Minimum",
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'max' => "Maximum",
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'average' => "Average Value" ,
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'median' => "Median Value",
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'standard_deviation' => "Standard Deviation"}
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# css classes for status indication ordered from "good" to "bad"
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CONFIG.color_classes = ['success','info', 'warning', 'danger']
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#HTML color codes from green to red in 0x11-steps
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CONFIG.color_codes = ['#FF0000','#FF1100','#FF2200','#FF3300','#FF4400',
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'#FF5500','#FF6600','#FF7700','#FF8800','#FF9900',
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'#FFAA00','#FFBB00','#FFCC00','#FFDD00','#FFEE00',
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'#FFFF00','#EEFF00','#DDFF00','#CCFF00','#BBFF00',
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'#AAFF00','#99FF00','#88FF00','#77FF00','#66FF00',
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'#55FF00','#44FF00','#33FF00','#22FF00','#11FF00',
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'#00FF00'].reverse
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#can be metric or score
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CONFIG.node_coloring_field = 'unified_risk_score'
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# max number of neighbors for graphical representation with d3.js
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CONFIG.max_graph_neighbors = 150
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CONFIG.nodes_per_page = 25
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require 'redis' |
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require 'ostruct' |
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require 'json' |
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CONFIG = OpenStruct.new |
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CONFIG.redis_db_index = 1 |
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CONFIG.redis_host = 'redis' |
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CONFIG.redis_port = 6379 |
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CONFIG.redis = Redis.new( |
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:host => CONFIG.redis_host, |
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:port => CONFIG.redis_port, |
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:db => CONFIG.redis_db_index |
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) |
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CONFIG.graph_index_key = 'all_graphs' |
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# initialise octothorpes |
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CONFIG.info_index_key = Hash.new |
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CONFIG.node_index_key = Hash.new |
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CONFIG.metric_index_key = Hash.new |
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CONFIG.score_index_key = Hash.new |
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CONFIG.percolation_index_key = Hash.new |
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CONFIG.layout_index_key = Hash.new |
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CONFIG.node_neighbors_prefix = Hash.new |
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CONFIG.node_prefix = Hash.new |
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CONFIG.metric_prefix = Hash.new |
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CONFIG.score_prefix = Hash.new |
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CONFIG.statistics_prefix = Hash.new |
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CONFIG.percolation_prefix = Hash.new |
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CONFIG.metric_names = Hash.new |
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CONFIG.score_names = Hash.new |
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CONFIG.percolation_methods = Hash.new |
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CONFIG.percolation_pctages = Hash.new |
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CONFIG.layout_names = Hash.new |
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CONFIG.all_graphs = CONFIG.redis.smembers(CONFIG.graph_index_key) |
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# for each graph in all_graphs |
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CONFIG.all_graphs.each do |graph| |
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CONFIG.info_index_key.store(graph, graph+':'+'general_info') |
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CONFIG.node_index_key.store(graph, graph+':'+'all_nodes') |
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CONFIG.metric_index_key.store(graph, graph+':'+'all_metrics') |
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CONFIG.score_index_key.store(graph, graph+':'+'all_scores') |
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CONFIG.percolation_index_key.store(graph, graph+':'+'all_percolation_modes') |
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CONFIG.layout_index_key.store(graph,graph+':'+'all_layouts') |
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CONFIG.node_neighbors_prefix.store(graph, graph+':'+'node_neighbors:') |
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CONFIG.node_prefix.store(graph, graph+':'+'node_metrics:') |
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CONFIG.metric_prefix.store(graph, graph+':'+'metric:') |
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CONFIG.score_prefix.store(graph, graph+':'+'score:') |
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CONFIG.statistics_prefix.store(graph, graph+':'+'statistics:') |
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CONFIG.percolation_prefix.store(graph, graph+':'+'percolation:') |
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#automatic retrieval and naive naming of available metrics from Redis |
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CONFIG.metric_names[graph] = CONFIG.redis.smembers(CONFIG.metric_index_key[graph]).inject({}) do |h,metric| |
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h[metric] = metric.split('_').map(&:capitalize).join(' ') |
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h |
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end |
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#CONFIG.metric_names = { |
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# 'clustering_coefficient' => "Clustering Coefficient", |
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# 'corrected_clustering_coefficient' => "Clustering Coefficient (Corrected)", |
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# 'degree' => "Node Degree", |
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# 'average_neighbor_degree' => "Average Neighbor Degree", |
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# 'corrected_average_neighbor_degree' => "Average Neighbor Degree (Corrected)", |
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# 'iterated_average_neighbor_degree' => "Iterated Average Neighbor Degree", |
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# 'corrected_iterated_average_neighbor_degree' => "Iterated Average Neighbor Degree (Corrected)", |
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# 'betweenness_centrality' => "Betweenness Centrality", |
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# 'eccentricity' => "Eccentricity", |
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# 'average_shortest_path_length' => "Average Shortest Path Length" |
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#} |
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#automatic retrieval and naive naming of available scores from Redis |
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CONFIG.score_names[graph] = CONFIG.redis.smembers(CONFIG.score_index_key[graph]).inject({}) do |h,score| |
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h[score] = score.split('_').map(&:capitalize).join(' ') |
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h |
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end |
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# scores have to be readable in redis |
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#CONFIG.score_names = { |
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# 'unified_risk_score' => "Unified Risk Score (URS)", |
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# 'advanced_unified_risk_score' => "Advanced URS" |
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#} |
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#puts JSON.parse(CONFIG.redis.smembers(CONFIG.node_index_key[graph]).to_s) |
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#automatic retrieval and naive naming of available percolation methods from Redis |
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CONFIG.percolation_methods[graph] = CONFIG.redis.smembers(CONFIG.percolation_index_key[graph]).inject({}) do |h,method| |
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# h[method] = method.split(':').map{|string| string.capitalize}.join(' - ').split('_').map(&:capitalize).join(' ') |
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h[method] = method.split(':').map{|string| string.split('_').map(&:capitalize).join(' ')}.join(' - ') |
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h |
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end |
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#retrieval of percolation percentages |
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CONFIG.percolation_pctages[graph] = CONFIG.redis.hget(CONFIG.info_index_key[graph], 'percentages').split(';') |
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#automatic retrieval and naive naming of available layouts from Redis |
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CONFIG.layout_names[graph] = CONFIG.redis.smembers(CONFIG.layout_index_key[graph]).inject({}) do |h,layout| |
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h[layout] = layout.split('_').map(&:capitalize).join(' ') |
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h |
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end |
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end |
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CONFIG.normalization_suffix = '_normalized' |
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CONFIG.statistical_indicators = { 'min' => "Minimum", |
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'max' => "Maximum", |
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'average' => "Average Value" , |
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'median' => "Median Value", |
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'standard_deviation' => "Standard Deviation"} |
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# css classes for status indication ordered from "good" to "bad" |
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CONFIG.color_classes = ['success','info', 'warning', 'danger'] |
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#HTML color codes from green to red in 0x11-steps |
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CONFIG.color_codes = ['#FF0000','#FF1100','#FF2200','#FF3300','#FF4400', |
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'#FF5500','#FF6600','#FF7700','#FF8800','#FF9900', |
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'#FFAA00','#FFBB00','#FFCC00','#FFDD00','#FFEE00', |
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'#FFFF00','#EEFF00','#DDFF00','#CCFF00','#BBFF00', |
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'#AAFF00','#99FF00','#88FF00','#77FF00','#66FF00', |
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'#55FF00','#44FF00','#33FF00','#22FF00','#11FF00', |
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'#00FF00'].reverse |
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#can be metric or score |
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CONFIG.node_coloring_field = 'unified_risk_score' |
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# max number of neighbors for graphical representation with d3.js |
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CONFIG.max_graph_neighbors = 150 |
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CONFIG.nodes_per_page = 25 |