def exportHTML(path, cctv, ecctv, db):
# Double apparition elimination
cctv = [Location(n, e, desc=d) for (n, e, d) in \
set([(loc.north, loc.east, loc.desc) for loc in cctv]) ]
rawCCTV = []
toupdate = []
for loc in cctv:
if loc.desc == "":
lookForAddress(loc)
toupdate+=[loc]
minloc = path[0]
mindist = 100000
for p in path:
dst = commons.dist(loc, p)
if dst<mindist:
minloc = p
mindist = dst
loc.time = minloc.time
rawCCTV.append((loc, mindist))
stores = []
db.setAddresses(toupdate)
ecctv = [Location(n, e, desc=d) for (n, e, d) in \
set([(float(loc.north), float(loc.east), str(loc.name)) for loc in ecctv]) ]
for loc in ecctv:
minloc = path[0]
mindist = 100000
for p in path:
dst = commons.dist(loc, p)
if dst<mindist:
minloc = p
mindist = dst
loc.time = minloc.time
stores.append((loc, mindist))
# Rendering
(head1, body1) = makeMapView(path, rawCCTV, stores)
(head2, body2) = makeReport(path, rawCCTV, stores)
output = "<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=UTF-8\" />\n <title>Smile, you're on TV</title>\n "\
+ head1 + "\n\
<style type=\"text/css\">\n html { height: 100% }\n body { height: 100%; margin: 0; padding: 0 }\n #map-canvas { height: 100%; width: 48%; float:left }\n #report { width:48%; float:right; height: 100%; overflow: auto}\n li{margin-top:10px;}</style>\n\
</head>\n\n<body>"+body1+"<div id=\"report\">\n"+body2+"\n</div>\n\
</body>\n</html>"
return output
def findCCTVs(self, location, tolerance=0.1):
tolerance /= 10
c = self.conn.cursor()
table = "locations"
locs = c.execute("SELECT * FROM "+table+" WHERE north >= ? AND north <= ? AND east >= ? AND east <= ?",\
(location.north-tolerance, location.north+tolerance, location.east-tolerance, location.east+tolerance))
locations = [Location(row[0], row[1], desc=row[2]) for row in locs]
locations = [loc for loc in locations if commons.dist(loc, location) <= tolerance*10]
c.close()
return locations
def findCCTVsNearPath(self, path):
# Selects representative points (avoid points too close to each other)
for i in path:
for j in path:
if (i!= j and commons.dist(i,j) < 0.002*self.radius):
path.remove(j)
extinfo=[]
for i in path:
aux = self.findCCTVsNearLoc(i.north, i.east, self.radius)
extinfo += aux
return extinfo
def findCCTVsNearLoc(self, locationN, locationE, radius):
print("Google NEARBY Query")
loc=location.Location(float(locationN),float(locationE))
NearbyLoc = []
conn = HTTPSConnection("maps.googleapis.com")
parametres = "location="+str(locationN)+","+str(locationE)+"&radius="+str(radius)+"&sensor=false&key="+commons.googleAPIKey
conn.request("GET", "/maps/api/place/nearbysearch/xml?"+parametres)
response = conn.getresponse()
data = response.read()
root = ET.fromstring(data)
for result in root.findall('result'):
loctype = []
name = result.find('name').text#.encode('utf-8')
for lc in result.findall('type'):
loctype.append(lc.text)
north = result.find('./geometry/location/lat').text
east = result.find('./geometry/location/lng').text
aux = Nearby(north, east, loctype, name)
loc2 = location.Location(float(north),float(east))
if(commons.dist(loc,loc2) <= 0.001*radius and ('atm' in loctype or 'airport' in loctype or 'bank' in loctype or 'city_hall' in loctype or 'embassy' in loctype or 'gas_station' in loctype or 'hospital' in loctype or 'liquor_store' in loctype or 'local_government_office' in loctype or 'police' in loctype or 'post_office' in loctype or 'subway_station' in loctype or 'train_station' in loctype)):
NearbyLoc.append(aux)
return NearbyLoc