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xml2GTFSfunction.py
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xml2GTFSfunction.py
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'''
# dry run XML 2 GTFS
import json
import os
import time, datetime
import xmltodict, csv
import pandas as pd
from collections import OrderedDict
import zipfile, zlib
from tinydb import TinyDB, Query
import webbrowser
import pandas as pd
from Crypto.PublicKey import RSA
import shutil # used in fareChartUpload to fix header if changed
import pathlib
from math import sin, cos, sqrt, atan2, radians
# setting constants
root = os.path.dirname(__file__)
dbfile = 'GTFS/db.json'
sequenceDBfile = 'GTFS/sequence.json'
uploadFolder = 'uploads/'
xmlFolder = 'xml_related/'
passwordFile = 'js/rsa_key.bin'
# importing functions.py, embedding it inline to avoid re-declarations etc
#exec(open("functions-from-ph1.py", encoding='utf8').read())
exec(open("GTFSserverfunctions.py", encoding='utf8').read())
configdata = {'checkFaresFlag': True, 'checkCalendarFlag': True, 'sundayXML': '8S0845_MACE.xml', 'stations': 'stations.csv', 'agency_id': 'KMRL', 'start_date': '20180404', 'routes': [{'sundaySchedule': '8S0845_MACE', 'route_long_name': 'Route 1', 'route_short_name': 'R1', 'route_id': 'R1', 'weekdaySchedule': '8W0845_MACE'}], 'agency_name': 'Kochi Metro', 'agency_url': 'http://www.kochimetro.org/', 'fareschart': 'fares-chart.csv', 'checkAgencyFlag': True, 'checkRoutesFlag': True, 'fares': {'F1': 10, 'F2': 20, 'F5': 50, 'F4': 40, 'F3': 30}, 'agency_timezone': 'Asia/Kolkata', 'weekdayXML': '8W0845_MACE.xml', 'end_date': '20990101', 'depotstations': 'STA_COD_3512T_BH,STA_COD_3509T_DN'}
logmessage('config params:')
logmessage(configdata)
'''
def xml2GTFSConvert(configdata):
outputFolder = xmlFolder + 'xml2GTFS/'
pathlib.Path(outputFolder).mkdir(parents=True, exist_ok=True)
returnMessage = ''
# way to get json value: trip.get('SERVICE_ID')
##########################################################
# Loading stops lookup table from stations.csv
stations = pd.read_csv(xmlFolder + configdata.get('stations','stations.csv'), na_filter=False).to_dict('records')
stations_total_distance = float( stations[ (len(stations) -1) ]['distance'] )
logmessage( "Loaded stations.csv, total stops :", len(stations) )
##########################################################
# Loading list of routes
routeslist = [n['route_id'] for n in configdata.get('routes')]
##########################################################
# Loading misc parameters
timepoint = configdata.get('timepoint',1)
wheelchair_accessible = configdata.get('wheelchair_accessible',1)
depot = configdata.get('depotstations','STA_COD_3512T_BH,STA_COD_3509T_DN')
depotstations = depot.split(',') if depot else []
##########################################################
# Initializing the arrays that will collect data for GTFS files
stop_times_array = []
trips_array = []
routes_array = []
sequences_array = []
shapes_array = []
##########################################################
# make loop for cycling thru routes
logmessage('Looping thru ' + str(len(configdata.get('routes'))) + ' route(s)')
for route in configdata.get('routes'):
route_id = route.get('route_id')
# Creating row for this route in routes_array which will be stored in GTFS routes.txt
routes_row = OrderedDict()
routes_row['route_id'] = route.get('route_id')
routes_row['route_short_name'] = route.get('route_short_name')
routes_row['route_long_name'] = route.get('route_long_name')
routes_row['route_type'] = configdata.get('route_type',1)
routes_row['route_color'] = configdata.get('route_color','00B7F3')
routes_row['route_text_color'] = configdata.get('route_text_color','000000')
routes_row['agency_id'] = configdata.get('agency_id','KMRL')
routes_array.append(routes_row)
##########################################################
# Shape of route
# skipping.
##########################################################
# Begin weekday-sunday loop
# ditch the old ways! Now we go by schedule!
#route.get('weekdaySchedule')
#route.get('sundaySchedule')
logmessage('Looping thru weekday and sunday')
for day in ['weekday','sunday']:
# Loading XML file
with open( uploadFolder + configdata.get(day+'XML') , encoding='utf8' ) as fd:
# apologies.. this actually translates to something like open('uploads/XYZ.xml')
fileholder = xmltodict.parse(fd.read(), attr_prefix='')
scheduleHolder = fileholder.get('ROOT').get('SCHEDULE')
# whether the node is single or repeating in the XML, convert it so that it becomes a list to iterate through
if type(scheduleHolder) == type(OrderedDict()) :
scheduleHolder = [scheduleHolder]
scheduleRow = next((x for x in scheduleHolder if x.get('NAME') == route.get(day+'Schedule')), None )
# takes the first instance. from https://stackoverflow.com/a/34894322/4355695
if not scheduleRow:
continue
trips_from_xml = scheduleRow.get('TRIPS').get('TRIP')
service_id = 'SU' if (day == 'sunday') else 'WK'
# in GTFS calendar.txt, service_id used to indicate whether it's for weekdays or sunday. It is also used in GTFS trips.txt
##########################################################
# Starting trips loop
logmessage('Looping thru ' + str(len(trips_from_xml)) + ' trips')
for trip in trips_from_xml :
# cycle through each trip
stopsnum = len(trip.get('STOP'))
if( ( trip['STOP'][0]['TOP'] in depotstations) or (trip['STOP'][-1]['TOP'] in depotstations) ):
# if trip's starting or terminating station is the MUTTOM depot, then exclude that trip
continue
'''
Trip_id naming convention : R001WKL055600
R001 : route numer. We have only one route till now, so R001
WK : weekday. for sunday, SU
L : Left direction. opposite trips: R for Right. In future if nomenclature changes to up/down then U/D would be used.
055600 : start time of trip (arrival_time of first stop).
'''
direction = 'R' if (trip['DIRECTION'] == 'RIGHT') else 'L'
direction_id = 0 if (trip['DIRECTION'] == 'RIGHT') else 1 # to be used in GTFS trips.txt
timestamp = trip['ENTRY_TIME'].replace(':','')
trip_id = str( route_id + service_id + direction + timestamp )
timer_var = get_sec(trip['ENTRY_TIME'])
##########################################################
# Creating row for GTFS trips.txt
trips_row = OrderedDict()
trips_row['route_id'] = route_id
trips_row['service_id'] = service_id
trips_row['trip_id'] = trip_id
# finding the last stop of this trip because we need it for the trip's headsign
last_stop_technicalname = trip['STOP'][-1]['TOP']
findstationrow = next((item for item in stations if (item["down_id"] == last_stop_technicalname or item["up_id"] == last_stop_technicalname) ), None)
trips_row['trip_headsign'] = findstationrow['stop_name']
# trips_row['trip_short_name'] = trip['ENTRY_TIME'][0:5] + ' ' + trips_row['trip_headsign']
# 17.3.19 : not making trip_short_name, because Google told KMRL they don't want that column to be there.
trips_row['direction_id'] = direction_id
trips_row['block_id'] = "{}_{}".format(trip['SERVICE_ID'],direction_id)
int( trip['SERVICE_ID'] ) # vehicle number is stored in "SERVICE_ID"
# 17.3.19 : shape to be loaded later. Hard-setting this right now; make it conditional later.
trips_row['shape_id'] = "{}_{}".format(route_id,direction_id)
trips_row['wheelchair_accessible'] = int(wheelchair_accessible)
trips_array.append( trips_row )
##########################################################
# Looping through the stops in the trip
# logmessage('Looping thru ' + str(stopsnum) + ' stops')
for i in range(stopsnum):
# cycle through each stop
if i > 0 :
previous_dwell = int(trip['STOP'][i-1]['DWELLTIME'])
previous_run = int(trip['RUN'][i-1]['RUNTIME'])
timer_var += previous_dwell + previous_run
previous_technicalstopname = str( trip['STOP'][i-1]['TOP'] )
else : previous_technicalstopname = None
trip['STOP'][i]['arrival_time'] = time.strftime('%H:%M:%S', time.gmtime(timer_var))
this_dwell = int(trip['STOP'][i]['DWELLTIME'])
trip['STOP'][i]['departure_time'] = time.strftime('%H:%M:%S', time.gmtime(timer_var + this_dwell ) )
# Calculating time_offset : time between arrival at this stop and arrival at last stop
time_offset = get_sec(trip['STOP'][i]['arrival_time']) - get_sec(trip['STOP'][int(i-1)]['arrival_time']) if( i > 0 ) else 0
##########################################################
# stop_id lookup
technicalstopname = str( trip['STOP'][i]['TOP'] )
# searching the stations array/dict for the first occureance https://stackoverflow.com/a/8653568/4355695
findstationrow = next((item for item in stations if (item["down_id"] == technicalstopname or item["up_id"] == technicalstopname) ), None)
stop_id = str( findstationrow['stop_id']) if findstationrow else "ERROR"
##########################################################
# distance calculations
shape_dist_traveled = float( format( float(findstationrow['distance']), '.2f' )) if ( direction_id == 0 ) else float(format( ( stations_total_distance - float(findstationrow['distance']) ), '.2f'))
if ( previous_technicalstopname and findstationrow ) :
previous_findstationrow = next((item for item in stations if (item["down_id"] == previous_technicalstopname or item["up_id"] == previous_technicalstopname) ), None)
if ( previous_findstationrow ) :
LLdist = lat_long_dist( previous_findstationrow['stop_lat'], previous_findstationrow['stop_lon'], findstationrow['stop_lat'], findstationrow['stop_lon'] )
else : LLdist = 0
else : LLdist = 0
##########################################################
# arranging in the format of GTFS stop_times.txt
newrow = OrderedDict() # instead of {} . Maintains order. from https://stackoverflow.com/a/28231217/4355695
newrow["trip_id"] = trip_id
newrow["arrival_time"] = trip['STOP'][i]['arrival_time']
newrow["departure_time"] = trip['STOP'][i]['departure_time']
newrow["stop_id"] = stop_id
newrow["stop_sequence"] = int( i + 1 )
newrow["timepoint"] = timepoint
newrow["shape_dist_traveled"] = shape_dist_traveled
# additional fields
newrow["route_id"] = route_id
newrow["direction"] = direction # this is specific to KMRL.. for generic its better to stick to direction_id
newrow["direction_id"] = direction_id
newrow["dwelltime"] = this_dwell
newrow["time_offset"] = time_offset
newrow["block_id"] = intcheck( trip.get('SERVICE_ID') ) # one id for each vehicle
newrow["tripnum"] = intcheck(trip.get('NUMBER'))
newrow["next_tripnum"] = intcheck(trip.get('NEXT_NUMBER'))
newrow["prev_tripnum"] = intcheck(trip.get('PREVIOUS_NUMBER'))
newrow['LLdist'] = LLdist
# adding this dict / json obect as an array element in stop_times_array
stop_times_array.append( newrow ) # note: this will happen (total trips x total stops) times
# End of stops loop
# End of trips loop
# End of weekday-sunday loop
# End of routes loop
##########################################################
# Creating output files
# How about directly inserting into the database?
###############
# take backup first
if not debugMode:
logmessage('Taking backup of existing contents of db')
backupDB()
###############
# purge existing DB
purgeDB()
###############
# initiating ZIP file
zf = zipfile.ZipFile(uploadFolder + 'KMRL-gtfs.zip', mode='w')
###############
# agency.txt
agencyArray = OrderedDict({ 'agency_id': configdata.get('agency_id','KMRL'), 'agency_name':configdata.get('agency_name','Kochi Metro'), 'agency_url':configdata.get('agency_url','http://www.kochimetro.org/'), 'agency_timezone':configdata.get('agency_timezone','Asia/Kolkata') })
agencyDF = pd.DataFrame([agencyArray])
agencyDF.to_csv(outputFolder+'agency.txt', index=None)
zf.write(outputFolder+'agency.txt', arcname='agency.txt', compress_type=zipfile.ZIP_DEFLATED )
logmessage('agency.txt created, {} entries'.format(len(agencyDF)) )
returnMessage += '<a target="_blank" href="{}agency.txt">agency file</a> created with {} entries.<br>'.format(outputFolder,len(agencyDF))
###############
# calendar
calendarArray = []
calHead = "service_id,monday,tuesday,wednesday,thursday,friday,saturday,sunday,start_date,end_date".split(',')
calWeek = [ 'WK',1,1,1,1,1,1,0,configdata.get('start_date'),configdata.get('end_date')]
calSun = [ 'SU',0,0,0,0,0,0,1,configdata.get('start_date'),configdata.get('end_date')]
calendarArray = [ OrderedDict(zip(calHead,calWeek)), OrderedDict(zip(calHead,calSun)) ]
calendarDF = pd.DataFrame(calendarArray)
calendarDF.to_csv(outputFolder+'calendar.txt', index=None)
zf.write(outputFolder+'calendar.txt', arcname='calendar.txt', compress_type=zipfile.ZIP_DEFLATED )
returnMessage += '<a target="_blank" href="'+ outputFolder+'calendar.txt">calendar file</a> created with %d entries.<br>'%len(calendarDF)
logmessage('calendar.txt created, %d entries'%len(calendarDF))
####################
# stops
for row in stations: row['zone_id'] = row['stop_id']
# cloning zone_id column, same as stop_id. For use in fares.
stops_keys = ['stop_id','stop_name','stop_lat','stop_lon','zone_id','wheelchair_boarding']
stopsArray = [ OrderedDict({ i:row[i] for i in stops_keys }) for row in stations ]
# holy smokes, it worked!! iterate thru stops_keys to produce a dict, then iterate thru stations to make array
pd.DataFrame(stopsArray).to_csv(outputFolder+'stops.txt', index=None)
returnMessage += '<a target="_blank" href="'+ outputFolder+'stops.txt">stops file</a> created with %d entries.<br>'%len(stopsArray)
logmessage('stops.txt created, %d entries.'%len(stopsArray) )
zf.write(outputFolder+'stops.txt', arcname='stops.txt', compress_type=zipfile.ZIP_DEFLATED )
##############
#routes
routesDF = pd.DataFrame(routes_array)
routesDF.to_csv(outputFolder+'routes.txt', index=None)
returnMessage += '<a target="_blank" href="'+ outputFolder+'routes.txt">routes file</a> created with %d entires.<br>'%len(routesDF)
logmessage('routes.txt created, %d entries'%len(routesDF))
zf.write(outputFolder+'routes.txt', arcname='routes.txt', compress_type=zipfile.ZIP_DEFLATED )
##############
# trips
tripsDF = pd.DataFrame(trips_array)
tripsDF.to_csv(outputFolder+'trips.txt', index=None)
returnMessage += '<a target="_blank" href="'+ outputFolder+'trips.txt">trips file</a> created with %d entires.<br>'%len(tripsDF)
logmessage('trips.txt created, %d entries'%len(tripsDF))
zf.write(outputFolder+'trips.txt', arcname='trips.txt', compress_type=zipfile.ZIP_DEFLATED )
##############
# stop_times
stop_times_keys = ['trip_id', 'arrival_time', 'departure_time', 'stop_id', 'stop_sequence', 'timepoint', 'shape_dist_traveled']
# stop_times_select = [ OrderedDict({ i:row[i] for i in stop_times_keys }) for row in stop_times_array ]
stop_timesDF = pd.DataFrame(stop_times_array)
stop_timesDF[stop_times_keys].to_csv(outputFolder+'stop_times.txt', index=None)
returnMessage += '<a target="_blank" href="'+ outputFolder+'stop_times.txt">stop_times file</a> created with %d entires.<br>'%len(stop_timesDF)
logmessage('stop_times.txt created, %d entries'%len(stop_timesDF))
# extra: save out the full-info stop_times tables too
stop_timesDF.to_csv(outputFolder+'stop_times_extended.csv', index=None)
returnMessage += 'An <a target="_blank" href="'+ outputFolder+'stop_times_extended.csv">extended version</a> of the same with more info created also.<br>'
zf.write(outputFolder+'stop_times.txt', arcname='stop_times.txt', compress_type=zipfile.ZIP_DEFLATED )
##############
# fares
fare_rulesDF = csvunpivot(filename=uploadFolder + configdata.get('fareschart','fares-chart.csv'), keepcols=['Stations'], var_header='destination_id', value_header='fare_id', sortby=['Stations','destination_id','fare_id'])
# update: csvunpivot function now by itself renames "Stations" to "origin_id" and removes all NaN values. And the last argument is for sorting by values!. Pandas dude: you don't need to do shit with dict when you've got freakin pandas.
fare_rulesDF.to_csv(outputFolder+'fare_rules.txt', index=None)
zf.write(outputFolder+'fare_rules.txt', arcname='fare_rules.txt', compress_type=zipfile.ZIP_DEFLATED )
returnMessage += '<a target="_blank" href="'+ outputFolder+'fare_rules.txt">fare_rules file</a> created with %d entries.<br>'%len(fare_rulesDF)
logmessage('fare_rules.txt created, %d entries'%len(fare_rulesDF))
##############
# fare attributes
# we directly have them in configdata json.
# fare_id,price,currency_type,payment_method,transfers
currency_type = configdata.get('currency_type','INR')
payment_method = configdata.get('payment_method',0)
transfers = configdata.get('transfers','')
faresHolder = configdata.get('fares')
fare_attributes_array = [ {'fare_id': x, 'price':faresHolder[x], 'currency_type':currency_type, 'payment_method':payment_method, 'transfers':transfers, } for x in faresHolder ]
fare_attributesDF = pd.DataFrame([ OrderedDict({'fare_id': x, 'price':faresHolder[x]})\
for x in faresHolder ])
fare_attributesDF['currency_type'] = configdata.get('currency_type','INR')
fare_attributesDF['payment_method'] = configdata.get('payment_method',0)
fare_attributesDF['transfers'] = configdata.get('transfers','')
fare_attributesDF.to_csv(outputFolder+'fare_attributes.txt', index=None)
zf.write(outputFolder+'fare_attributes.txt', arcname='fare_attributes.txt', compress_type=zipfile.ZIP_DEFLATED )
returnMessage += '<a target="_blank" href="'+ outputFolder+'fare_attributes.txt">fare_attributes file</a> created with %d entires.<br>'%len(fare_attributesDF)
logmessage('fare_attributes.txt created, %d entries'%len(fare_attributesDF))
##############
# translations
# stop names
secondlang = configdata.get('secondlang','ml')
translations_array = [ OrderedDict({'trans_id': x['stop_name'], 'lang':secondlang, 'translation': x['stop_name_secondlang'] }) for x in stations ]
# adding agency name in translations
translations_array.append( OrderedDict({ 'trans_id': configdata.get('agency_name','Kochi Metro'), 'lang':secondlang, 'translation': configdata.get('agency_name_translation','കൊച്ചി മെട്രോ') }) )
translationsDF = pd.DataFrame(translations_array)
translationsDF.to_csv(outputFolder+'translations.txt', index=None)
zf.write(outputFolder+'translations.txt', arcname='translations.txt', compress_type=zipfile.ZIP_DEFLATED )
returnMessage += '<a target="_blank" href="'+ outputFolder+'translations.txt">translations file</a> created with %d entires.<br>'%len(translationsDF)
logmessage('translations.txt created, %d entries'%len(translationsDF))
##############
# shapes
# intervention: bring in geojson:
configdata['shapefile'] = os.path.join(xmlFolder, 'R001.geojson');
shapeArray = geoJson2shape(route_id, configdata.get('shapefile'), shapefileRev=None)
shapeDF = pd.DataFrame(shapeArray)
shapeDF.to_csv(outputFolder+'shapes.txt', index=None)
zf.write(outputFolder+'shapes.txt', arcname='shapes.txt', compress_type=zipfile.ZIP_DEFLATED )
returnMessage += '<a target="_blank" href="'+ outputFolder+'shapes.txt">shapes file</a> created with %d entires.<br>'%len(shapeDF)
logmessage('shapes.txt created, %d entries'%len(shapeDF))
##############
# end
zf.close()
importGTFS('KMRL-gtfs.zip')
returnMessage += '<a target="_blank" href="' + uploadFolder + 'KMRL-gtfs.zip">KMRL-gtfs.zip</a> GTFS zip file created, and imported to DB.<br>'
returnMessage += '<a target="_blank" href="' + logFolder + 'log.txt" target="_blank">Click here</a> for detailed logs.<br>'
logmessage('\nXML data successfully imported into DB.')
return returnMessage
# running it
# xml2GTFSConvert(configdata)