def generate_avail_json(file_name, out_dir, info_arr):
data = open(file_name, 'r').read().strip().split('\n')
arr1 = []
arr2 = []
for row in data:
if len(row) ==0:continue
[cl1, cl2, time_stamp, null1, null2 ] = row.split(',')
cl1 = break_str(cl1)
cl2 = break_str(cl2)
time_stamp = time_stamp[3:].replace(" ", "")
[min1, sec1] = map( int,time_stamp.split(':') )
time_value = min1*60+sec1
arr1.append( [ [0, min1, sec1, 0], cl1, get_tooltip(time_stamp, cl1), get_style(cl1) ] )
arr2.append( [ [0, min1, sec1, 0] , cl2, get_tooltip(time_stamp, cl2), get_style(cl2) ] )
##info arr
arr3 = []
train_num = info_arr[2]
for det in trains_arr1:
if det['train_no'] == train_num:
offset_days = det['offset']
cl_name1 = det['class']
cl_name2 = det['class2']
arr3.append("Availability in "+cl_name1+" Class \t for the date " + date_str(info_arr[1], info_arr[0], offset_days )
+ " checked on "+ date_str2(info_arr[1], info_arr[0] ) )
arr3.append("Availability in "+cl_name2+" Class \t for the date " + date_str(info_arr[1], info_arr[0], offset_days )
+ " checked on "+ date_str2(info_arr[1], info_arr[0] ) )
final_arr = [arr1, arr2, arr3]
# print final_arr
out_file_name = "_".join( map(str, info_arr) ) +".txt"
json.dump( final_arr, open(out_dir+out_file_name, 'w' ) )
ftp_fn.push_to_webdir(out_dir+out_file_name, 'all_files/')
import ftp_fn
target_sub_dir = ""
files_arr = [
"index.php",
"chart_fn.php",
"mystyle1.css"
]
home_dir = "C:/xampp/htdocs/Projects/IndianRail/"
for file in files_arr:
print file
ftp_fn.push_to_webdir(home_dir+file, target_sub_dir)
def generate_index():
arr_all_dates = []
#reading all the folders from the train_data directory
for curr_dir in os.listdir( dir_train_data ):
try: [date1, month1, _] = curr_dir.split('_')
except: [date1, month1 ] = curr_dir.split('_')
[date1, month1] = map( int, [date1, month1])
set1 = {}
set1['date' ] = date1
set1['month' ] = month1
set1['date_value'] = month1*100 + date1
#read files in that directory
file_names = os.listdir( dir_train_data+curr_dir+'/')
# print file_names
train_numbers =map( int, map( lambda x: x[-9:-4] , file_names ) )
set1['trains'] = train_numbers
arr_all_dates.append(set1)
# print arr_all_dates
arr_all_dates.sort( key= lambda x: x['date_value'], reverse=True)
###---------------------------------------------
"""
generates a JSON array containing indices of all the trains and corresponding names of data files.
This is used in the web app to read the files which are generated separately
"""
arr_trains = {}
# contains> { train_no : [ [file_name, display name], ... ] , .... }
for elem in arr_all_dates:
date = str(elem['date'] )
month = str(elem['month'] )
for train in elem['trains']:
if train in arr_trains.keys():
if len( arr_trains[train] )>=10:
pass
else:
arr_trains[train].append( [ month+"_"+date+"_"+str(train), date_str(date, month, tr_dets.find_train(train)['offset'] ) ])
else:
arr_trains[train] = []
arr_trains[train].append( [ month+"_"+date+"_"+str(train) , date_str(date, month, tr_dets.find_train(train)['offset']) ])
print "Index Array:"
print arr_trains
import json
dir1 = dir_xammp+ 'data/'
json.dump(arr_trains, open( dir1+'train_indexes.json', 'w') )
ftp_fn.push_to_webdir(dir1+'train_indexes.json', 'data/')
################################################
# generate_index()
