#!/usr/local/bin/python
import csv
import igraph
import math
from igraph import *
from itertools import chain


#("ftn-weighted-network.csv")
reader = csv.DictReader(open("bigrams-ground-truth.csv"), dialect="excel")#("bigrams-ground-truth.csv")
g = igraph.Graph.DictList(vertices=None, edges=reader, directed=True)
g.simplify()
#g.to_directed()


#print g.vs["name"]
pr =  g.pagerank()

layout = g.layout_random() 
visual_style = {}
visual_style["vertex_size"] = [float(15 *pr[v.index]) for v in g.vs] 
visual_style["vertex_label"] = g.vs["name"]
visual_style["edge_color"] = 'red' #darkolivegreen4
visual_style["vertex_label_color"] = 'darkslateblue'
visual_style["vertex_label_size"] = 5
visual_style["vertex_label_dist"] = 1.5
visual_style["edge_length"] = 20
#visual_style["edge_width"] = .10# g.es["weight"] # [float(x) for x in g.es["weight"]]
#visual_style["edge_width"] = 30#[.07+10 *float(x) for x in g.es["weight"]]
visual_style["edge_arrow_size"] = .01
visual_style["layout"] = layout
visual_style["bbox"] = (800, 800)
visual_style["margin"] = 20
plot(g ,**visual_style)
plot(g, "/Users/ahamed/Publications/CICLing-Egypt/ftn-weighted-network.pdf", **visual_style)

#g.vs["label"] = g.vs["name"]

#print g.vcount()
#print g.ecount()

#pr = g.pagerank()

#for v in g.vs:
#    print "{0}, {1}, {2}".format(v["name"], v.degree(), (pr[v.index]))


'''    
rankLogs = []        
for r in pr :
    print r
    rankLogs.append(math.log(r))
         
        
#print len(pr)

#bins = range(1, 2)
#plt.xticks(bins, ["2^%s" % i for i in bins])      
#n, bins, patches = plt.hist(rankLogs, log=True)        
#plt.xlabel('PageRank Value')
#plt.ylabel('Frequency')
#plt.title('Histogram of Term PageRanks')
#plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
#plt.yticks(np.arange(0, 250, 10))
#plt.xticks(np.arange(min(pr), max(pr)+1, .01))
#plt.axis([0, 2.5, 1, 1000])
#plt.grid(True)
#plt.show()

# print ("Node" + "," + "Degree" + "," +  "Eccentricity" + "," + "Closeness" + "," + "Betweennness")
# for v in g.vs:
#    print (str(v["name"]) + "," + str(v.degree()) + "," + str(v.pagerank()) +"," + str(v.closeness()) + "," + str(v.betweenness()))

layout = g.layout_random()

visual_style = {}
visual_style["vertex_size"] = 1
#visual_style["vertex_color"] = [color_dict[gender] for gender in g.vs["gender"]]
visual_style["vertex_label"] = g.vs["name"]
visual_style["edge_width"] = [1]
visual_style["layout"] = layout
visual_style["bbox"] = (1200, 1200)
visual_style["margin"] = 20
plot(g, **visual_style)


g.vs

'''

'''

#plot(g, layout = layout)


'''