## main
###############################################################
if __name__ == "__main__":
# Bolean declarations
wantBasePaths = True
# Get list of games that start with 100 sssp files from /data/zliu8/sssp
#starting_path = '/data/zliu8/sssp/'
outputPath = '/home/saguinag/CategoryPaths/ssspGamesDatFiles/'
# List of files
#src_pg_filenames = getFilenames(starting_path)
print "sys.argv", sys.argv
filename = sys.argv[1]
print 'Processing file: ',filename
pattern = re.compile(r'([0-9]+).txt')
src_pg_id = pattern.search(filename)
pgID = src_pg_id.group(1)
for row in gamesWithSourceNode(pgID):
print row
## Save the new dataframe to disk
# motherload.to_csv(outputFile, sep=',',mode='w',encoding='utf-8',index=True)
print 'Done'
for filename in src_pg_files: pattern = re.compile(r'([0-9]+).txt') src_pg_id = pattern.search(filename) print "src_pg_id.group(1)",src_pg_id.group(1) if src_pg_id.group(1) not in st_pg_id_nodes_proc_lst: print 'Processing file: ',filename # Grab shortest path data print 'Fetching shortest path data' shortest_path_data = Path_Data(starting_path+filename) sp_df = pd.DataFrame.from_dict(shortest_path_data.path_data.items()) sp_df.columns=['key','sp'] #print sp_df.head() # Show games that start with this page id print 'Fetching games per starting node' for games_plus in gamesWithSourceNode(src_pg_id.group(1)): if len(games_plus) >= 3: path_chain_for_game_dict["%ld_to_%ld" % (games_plus[0],games_plus[2])] = games_plus[1] else: print 'games_plus is not at least 3' print 'games with starting node: ',len(path_chain_for_game_dict) gm_df = pd.DataFrame.from_dict(path_chain_for_game_dict.items()) gm_df.columns=['key','game'] #print gm_df.head() # Merge data frames on key data = pd.DataFrame() data = pd.merge(gm_df, sp_df, on='key') #print data.describe()
# csv.writer(f).writerow(row) #f.write(row)
# f.close()
# print 'Done writing results to file io'
# print 'Done.'
###############################################################################
result = re.search('sssp_(.*).txt', args.filename)
print 'Script arguments:'
print '\t'+args.filename
print '\nSource node (wikipedia.game.page_id): '+result.group(1)
print 'Games with source node (%s): ' % result.group(1)
results = gamesWithSourceNode(result.group(1),-1)
data= np.array(results)
df = pd.DataFrame(data, columns=['src_pg','game','end_pg'])
print df.head()
### Find the shortest path score to end_page
src_pg = result.group(1)
# output filename
output_file='outputFiles/'+result.group(1)+'_sp_score_'+datetime.date.today().strftime("%d%b%y")+'.txt'
# write out to file
f = open(output_file,'w')
for end_pg in df['end_pg']:
end_pg_score = find_sssp_score(end_pg,args.filename)
if end_pg_score is None:
row_2_print = result.group(1)+'\t'+end_pg+'\t0'
csv.writer(f).writerow([row_2_print])
args = parser.parse_args()
#filenames = re.search('sssp_(.*).txt', getFilenames(args.dirPath))
srcNodes = list()
results = []
filenames = getFilenames(args.dirPath)
## extract source nodes
for fn in filenames:
srcNodes.append(re.search('sssp_(.*).txt',fn).group(1))
## get games
for srcnode in srcNodes:
if not(srcnode.isdigit()):
continue
results = gamesWithSourceNode(srcnode,-1)
data= np.array(results)
df = pd.DataFrame(data, columns=['src_pg','game','end_pg'])
#print df.head()
outFname='/home/saguinag/CategoryPaths/gamesDatafiles/'+srcnode+\
'_wpgame_games.dat'
df.to_csv(outFname, sep=',',mode='w',encoding='utf-8',index=False)
df = None
print 'Done.'
"""
## Find the shortest path score to end_page
src_pg = filenames.group(1)
# output filename
print output_file
