#!/usr/bin/env python
# Generate JSON from a LOCUS log file
# (c) 2013 Don Coleman
import locus
import json
import datetime
coords = locus.parseFile('sample.log')
# filter out bad data
coords = [c for c in coords if c.fix > 0 and c.fix < 5]
class Encoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, locus.Coordinates):
return obj.__dict__
if isinstance(obj, datetime.datetime):
return obj.strftime("%Y-%m-%dT%H:%M:%S%z")
return json.JSONEncoder.default(self, obj)
print json.dumps(coords, cls = Encoder, sort_keys=True, indent=4)
#!/usr/bin/env python
# Generate JSON from a LOCUS log file
# (c) 2013 Don Coleman
import locus
import json
import datetime
coords = locus.parseFile('gps_raw.txt') # sample.log
# filter out bad data
coords = [c for c in coords if c.fix > 0 and c.fix < 5]
class Encoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, locus.Coordinates):
return obj.__dict__
if isinstance(obj, datetime.datetime):
return obj.strftime("%Y-%m-%dT%H:%M:%S%z")
return json.JSONEncoder.default(self, obj)
print json.dumps(coords, cls=Encoder, sort_keys=True, indent=4)
#!/usr/bin/env python
# Generate KML from a LOCUS log file
# KML template is based on the output from
# http://learn.adafruit.com/custom/ultimate-gps-parser
#
# usage: python kml.py > example.kml
# open the generated example.kml in Google Earth
#
# (c) 2013 Don Coleman
import locus
coords = locus.parseFile('sample.log')
# filter out any bad records
coords = [c for c in coords if c.fix > 0 and c.fix < 5]
# format each coordinate for kml
data = map(lambda c: "%3.14f,%3.14f,%s" % (c.longitude, c.latitude, c.height),
coords)
template = """<?xml version="1.0" encoding="UTF-8"?>
<kml xmlns="http://www.opengis.net/kml/2.2">
<Document>
<name>GPS Path</name>
<description>Path parsed from GPS data.</description>
<Style id="yellowLineGreenPoly">
<LineStyle>
<color>7f00ffff</color>
<width>4</width>
#!/usr/bin/env python
# Generate KML from a LOCUS log file
# KML template is based on the output from
# http://learn.adafruit.com/custom/ultimate-gps-parser
#
# usage: python kml.py > example.kml
# open the generated example.kml in Google Earth
#
# (c) 2013 Don Coleman
import locus
coords = locus.parseFile("sample.log")
# filter out any bad records
coords = [c for c in coords if c.fix > 0 and c.fix < 5]
# format each coordinate for kml
data = map(lambda c: "%3.14f,%3.14f,%s" % (c.longitude, c.latitude, c.height), coords)
template = """<?xml version="1.0" encoding="UTF-8"?>
<kml xmlns="http://www.opengis.net/kml/2.2">
<Document>
<name>GPS Path</name>
<description>Path parsed from GPS data.</description>
<Style id="yellowLineGreenPoly">
<LineStyle>
<color>7f00ffff</color>
<width>4</width>
<gx:labelvisibility>0</gx:labelvisibility>
def getGPS():
# Variable to indicate when file headers been printed
global HEADERS_PRINTED
# CSV file named using the current date
CSV_FILE = USB_PATH + datetime.datetime.now().strftime('%Y-%m-%d') + '.csv'
# wrties twice to the same file 1. at start 2. after sleep
f_csv = open(CSV_FILE, "a")
# Opening file for GPS storage
f_raw = open(TEMP_FILE, "w")
#
# Getting raw GPS data
#
# Array of characters to hold GPS bytes, two bytes at a time
buff = []
buff.append('X')
buff.append('X')
logging.info("GPS-DUMP STARTED")
print("GPS-DUMP STARTED")
# Send Start Dump log command
write(GPS_DUMP)
# Breaks from loop after 3 minutes
start = datetime.datetime.now()
# Loop to receive GPS data using shift register
# When OK signal received, loop exits
while not ((buff[0] == 'O') and (buff[1] == 'K')):
# Shifting buffer
buff[0] = buff[1]
# Receiving new character
buff[1] = port.read()
#if not (buff[1] == ""):
#print("%c" % buff[1])
# Saving
f_raw.write(buff[1])
# After 3 minutes, loop exits automatically
if (datetime.datetime.now() - start).seconds > (3*60):
logging.info("GPS-DUMP TIMEOUT OCCURED")
print("GPS-DUMP TIMEOUT OCCURED")
break
# Closing temprary raw data file
f_raw.close()
#
# Parsing
#
print("PARSING TO CSV")
# Parse data as JSOM
coords = locus.parseFile(MISSION_FILE)
# filter out bad data
coords = [c for c in coords if c.fix > 0 and c.fix < 5]
# Printing into CSV file
# Headers
if not (HEADERS_PRINTED == True):
f_csv.write("Timestamp,Satellite Fix,Latitude,Longitude\n")
HEADERS_PRINTED = True
# Lines
for c in coords:
line = str(c.datetime) +","+ str(c.fix) +","+ str(c.latitude) +","+ str(c.longitude) +"\n"
f_csv.write(line)
# print(line)
# Closing CSV file
f_csv.close()
logging.info("GPS-DUMP FINISHED")
print("GPS-DUMP FINISHED")
# Starting new Log
write(GPS_ERASE)
write(GPS_LOG)
# Program to test locus data parsing into CSV file
import locus # lib for GPS data parsing
import json # JSON format library
import datetime # lib for system datetime
TEMP_PATH = "gps_raw.txt"
f_csv = open(datetime.datetime.now().strftime('%Y-%m-%d') + '.csv', "a")
print("PARSING STARTED")
# Parse data as JSOM
coords = locus.parseFile(TEMP_PATH)
# filter out bad data
coords = [c for c in coords if c.fix > 0 and c.fix < 5]
# Printing into CSV file
# Headers
f_csv.write("Timestamp,Satellite Fix,Latitude,Longitude,Altitude\n")
# Lines
for c in coords:
line = str(c.datetime) + "," + str(c.fix) + "," + str(
c.latitude) + "," + str(c.longitude) + "," + str(c.height)
f_csv.write(line + "\n")
print(line)