def get_tweets(messages, verbosity):
# Connect to Twitter API with OAuth2
consumer = oauth.Consumer(key=settings.TWITTER_API_KEY,
secret=settings.TWITTER_API_SECRET)
token = oauth.Token(key=settings.TWITTER_ACCESS_TOKEN,
secret=settings.TWITTER_ACCESS_TOKEN_SECRET)
client = oauth.Client(consumer, token)
# Get list of recent tweets
url = "https://api.twitter.com/1.1/statuses/home_timeline.json"
resp, content = client.request(url, method="GET")
data = json.loads(content)
tweets = []
for d in data:
tweets.append({"user": d["user"]["name"], "tuser": "******" + d["user"]["screen_name"], "tweet": d["text"]})
# Load 5 random tweets into widget
random.shuffle(tweets)
clear_statistic_list("tweets", "nsw:rt", "tweets")
sort_order = 1
for t in tweets:
add_statistic_list_item("tweets", "nsw:rt", "tweets",
t["tweet"], sort_order=sort_order,
label=t["tuser"])
if sort_order >= 5:
break
sort_order += 1
if verbosity > 1:
messages.append("Stored %d tweets" % sort_order)
return messages
def update_fire_danger(loader, verbosity=0):
messages = []
now = datetime.datetime.now(pytz.timezone(settings.TIME_ZONE))
http = httplib.HTTPConnection("www.rfs.nsw.gov.au")
http.request("GET", "http://www.rfs.nsw.gov.au/feeds/fdrToban.xml")
xml = ET.parse(http.getresponse())
expand_ratings = []
for district in xml.getroot():
region = None
rating = None
fireban = None
for elem in district:
if elem.tag == 'Name':
region = elem.text
elif elem.tag == 'DangerLevelToday':
rating = elem.text
elif elem.tag == 'FirebanToday':
fireban = (elem.text == 'Yes')
if rating is None:
continue
if region == "Greater Sydney Region":
region = "Greater Sydney"
elif region == "Illawarra/Shoalhaven":
region = "Illawarra"
elif region == "ACT":
continue
elif region == "Upper Central West Plains":
region = "Upper C.W. Plains"
elif region == "Lower Central West Plains":
region = "Lower C.W. Plains"
fd = FireDanger(region, rating, fireban)
expand_ratings.append(fd)
expand_ratings.sort(reverse=True)
sort_order = 10
clear_statistic_list("fire", "nsw:day", "rating_list_main")
clear_statistic_list("fire", "nsw:day", "rating_list_expansion")
for fd in expand_ratings:
add_statistic_list_item("fire",
"nsw:day",
"rating_list_main",
fd.rating(),
sort_order,
label=fd.region,
traffic_light_code=fd.tlc())
add_statistic_list_item("fire",
"nsw:day",
"rating_list_expansion",
fd.rating(),
sort_order,
label=fd.region,
traffic_light_code=fd.tlc())
sort_order += 10
return messages
def update_fire_danger(loader, verbosity=0):
messages = []
now = datetime.datetime.now(pytz.timezone(settings.TIME_ZONE))
http = httplib.HTTPConnection("www.rfs.nsw.gov.au")
http.request("GET", "http://www.rfs.nsw.gov.au/feeds/fdrToban.xml")
xml = ET.parse(http.getresponse())
expand_ratings = []
for district in xml.getroot():
region = None
rating = None
fireban = None
for elem in district:
if elem.tag == 'Name':
region = elem.text
elif elem.tag == 'DangerLevelToday':
rating = elem.text
elif elem.tag == 'FirebanToday':
fireban = (elem.text == 'Yes')
if rating is None:
continue
if region == "Greater Sydney Region":
region = "Greater Sydney"
elif region == "Illawarra/Shoalhaven":
region = "Illawarra"
elif region == "ACT":
continue
elif region == "Upper Central West Plains":
region = "Upper C.W. Plains"
elif region == "Lower Central West Plains":
region = "Lower C.W. Plains"
fd = FireDanger(region, rating, fireban)
expand_ratings.append(fd)
expand_ratings.sort(reverse=True)
sort_order = 10
clear_statistic_list("fire", "nsw:day", "rating_list_main")
clear_statistic_list("fire", "nsw:day", "rating_list_expansion")
for fd in expand_ratings:
add_statistic_list_item("fire", "nsw:day", "rating_list_main", fd.rating(), sort_order,
label=fd.region, traffic_light_code=fd.tlc())
add_statistic_list_item("fire", "nsw:day", "rating_list_expansion", fd.rating(), sort_order,
label=fd.region, traffic_light_code=fd.tlc())
sort_order += 10
return messages
def get_airdata(loader, messages, verbosity=0):
http = httplib.HTTPConnection("airquality.environment.nsw.gov.au")
http.request("GET", "http://airquality.environment.nsw.gov.au/aquisnetnswphp/getPage.php?reportid=25")
resp = http.getresponse()
clear_statistic_list("air_pollution", "syd:rt", "regions")
clear_statistic_list("air_pollution", "nsw:rt", "regions")
clear_statistic_list("air_pollution", "syd:rt", "region_1")
clear_statistic_list("air_pollution", "nsw:rt", "region_1")
parser = AirPollutionHtmlParser(messages, verbosity)
parser.feed(resp.read())
http.close()
if verbosity >= 3:
messages.append("Updated air pollution ratings from website")
return parser.messages
def get_tweets(messages, verbosity):
# Connect to Twitter API with OAuth2
consumer = oauth.Consumer(key=settings.TWITTER_API_KEY, secret=settings.TWITTER_API_SECRET)
token = oauth.Token(key=settings.TWITTER_ACCESS_TOKEN, secret=settings.TWITTER_ACCESS_TOKEN_SECRET)
client = oauth.Client(consumer, token)
# Get list of recent tweets
url = "https://api.twitter.com/1.1/statuses/home_timeline.json"
resp, content = client.request(url, method="GET")
data = json.loads(content)
tweets = []
for d in data:
tweets.append({"user": d["user"]["name"], "tuser": "******" + d["user"]["screen_name"], "tweet": d["text"]})
# Load 5 random tweets into widget
random.shuffle(tweets)
clear_statistic_list("tweets", "nsw:rt", "tweets")
sort_order = 1
for t in tweets:
add_statistic_list_item("tweets", "nsw:rt", "tweets", t["tweet"], sort_order=sort_order, label=t["tuser"])
if sort_order >= 5:
break
sort_order += 1
if verbosity > 1:
messages.append("Stored %d tweets" % sort_order)
return messages
def get_airdata(loader, messages, verbosity=0):
http = httplib.HTTPConnection("airquality.environment.nsw.gov.au")
http.request(
"GET",
"http://airquality.environment.nsw.gov.au/aquisnetnswphp/getPage.php?reportid=25"
)
resp = http.getresponse()
clear_statistic_list("air_pollution", "syd:rt", "regions")
clear_statistic_list("air_pollution", "nsw:rt", "regions")
clear_statistic_list("air_pollution", "syd:rt", "region_1")
clear_statistic_list("air_pollution", "nsw:rt", "region_1")
parser = AirPollutionHtmlParser(messages, verbosity)
parser.feed(resp.read())
http.close()
if verbosity >= 3:
messages.append("Updated air pollution ratings from website")
return parser.messages
