def _enhanceMarkers(self, markers):
now = time.time()
for marker in markers:
marker["newestHtml"] = self._formatNewestHtml(marker["newest"])
ageDays = localdate.calcAgeDays(marker["newest"][0]["createdDate"], now)
shadeIndex = min(ageDays // 4, len(SHADES) - 1)
shade = SHADES[shadeIndex]
marker["color"] = "%02x%02x%02x" % (shade, shade, shade)
del marker["newest"]
def getClustered(self, analyses, zoom, bounds=None):
""" Returns analyses clustered inside geo tiles.
Returns {(tiledLng,tiledLng):[analysis,analysis,...], ...}.
Considers only offers newer than maxAgeDays
calculated from the zoom. This limits the number useless of markers
on zoomed-out map.
"""
clusters = {}
latInc, lngInc = self._calcTileSize(zoom)
if bounds:
bounds = gis.extendBounds(bounds)
bounds = self._gridizeBounds(bounds, latInc, lngInc)
if zoom > 12:
# The function could be tweaked at:
# http://www.shodor.org/interactivate/activities/DataFlyer/
maxAgeDays = int((1.5*zoom - 18)**2 + 2)
else:
maxAgeDays = 2
ageDays = None
self.count = 0
self.lastDate = None
for analysis in analyses:
geo = analysis["geo"]
if bounds is None or gis.containsLatLng(bounds, geo):
if analysis["createdDate"] != self.lastDate:
ageDays = localdate.calcAgeDays(analysis["createdDate"])
if ageDays > maxAgeDays and self.count > self.minCount:
break
self.lastDate = analysis["createdDate"]
lat, lng = geo
tile = lat // latInc, lng // lngInc
self._addToCluster(clusters, tile, analysis)
return clusters
def formatAge(strDate, now=None):
ageDays = localdate.calcAgeDays(strDate, now)
ungettext = _.im_self.ungettext
return ungettext(u"%s day", u"%s days", ageDays) % ageDays