league_code = query.make_league_code(i['gameid'], i['leagueid'])
league_url = query.league_data(league_code)
l = auth.api_query(y, league_url)
#grab relevant part of dict
this_league = l['fantasy_content']['league']
leagues.append(this_league)
player_dict={}
# Get All Taken Players
loopcount=0
while(True):
# 2 Gets: first = 1 for seas+pct
# secnd = 2 for lastmonth
GET1 = auth.api_query(y, query.getdata(league_url,loopcount,1,status="T"))
GET2 = auth.api_query(y, query.getdata(league_url,loopcount,2,status="T"))
num_players_returned = int(GET1['fantasy_content']['league']['players']['@count'])
# Relevent part of get
GET_SEA = GET1['fantasy_content']['league']['players']['player']
GET_LM = GET2['fantasy_content']['league']['players']['player']
for count in range(0,num_players_returned):
# Create player 'object' using player information (name, etc) from one of the gets
# createplayer( x, True) --- True = Taken/NonFreeAgent
new_player = query.createplayer(GET_SEA[count], True)
# Update new player with Season Stats from get
# Update new player with LMonth Stats from get
# Add new player to player dictionary
import os
from query import consistency
from query import getdata
# from query import queryrna
# queryrna()
orig_pdb = int(os.system("ls data/Pdb/ | wc -l"))
rna_pdb = int(os.system("ls data/OnlyNA/ | wc -l"))
inp_pdb = int(os.system("ls data/Inp/ | wc -l"))
rel_date = int(os.system("grep \"REVDAT\" data/Pdb/*.pdb | awk '{ if ($5 ~ /^0/) print $0}' | wc -l"))
consistency(orig_pdb,rna_pdb,inp_pdb)
# Uncomment to check that the release dates match
# consistency(orig_pdb,rna_pdb,rel_date)
getdata()
print "total number of pdb files = %d" % int(orig_pdb)
rna_pdb = subprocess.check_output('ls data/OnlyNA/ | wc -l', shell=True)
print "rna pdbs = %d" % int(rna_pdb)
inp_pdb = subprocess.check_output('ls data/Inp/ | wc -l', shell=True)
print "inp pdbs = %d" % int(inp_pdb)
query.consistency(orig_pdb, rna_pdb, inp_pdb)
# query.makedirs()
# query.download()
query.analysis()
query.helices()
query.getdata()
#####################################################################
# -4-
# Plot number of bases vs. year
# This module automatically generates plots after subsetting the
# relevant information.
# The aim is to produce plots like the ones in Figure 2.1 (page 22 )
# of the authors thesis which were created in a more manual,
# non-fully automated fashion.
#####################################################################
# import graphs
# graphs.Plots.plot()
# graphs.Plots.hel_stats()
# graphs.Plots.rnadimerplot()