def ranking(request, group=0):
"""
This function generates the station ranks based on active orders in the DB
"""
# Connect to memcache
mc = get_memcache_client()
# Check if we already have a stored copy
if (mc.get("e43-station-ranking") is not None):
# Get values from mc if existent
ranking = mc.get("e43-station-ranking")
rank_list = ranking['rank_list']
generated_at = ranking['generated_at']
else:
# Generate numbers if there is no cached version present in memcache (anymore)
rank_list = Orders.active.values('stastation__id').annotate(ordercount=Count('id')).order_by('-ordercount')[:50]
for rank in rank_list:
station = StaStation.objects.get(id=rank['stastation__id'])
rank.update({'system': station.solar_system, 'name':
station.name, 'region': station.region, 'id': station.id})
generated_at = datetime.datetime.now()
# Expire after an hour
mc.set("e43-station-ranking", {'rank_list': rank_list, 'generated_at': generated_at}, time=3600)
rcontext = RequestContext(request, {'rank_list': rank_list, 'generated_at': generated_at})
return render_to_response('station/ranking.haml', rcontext)
def home(request):
"""
Returns our static home template with a CSRF protection for our search as well as the stats layout.
"""
type_ids = [34, 35, 36, 37, 38, 39, 40, 29668]
region = 10000002
types = InvType.objects.filter(id__in=type_ids)
#
# Preload cached stats
#
# Connect to memcache
mc = get_memcache_client()
typestats = {}
if (mc.get("e43-fullstats") is not None):
initial_stats = ujson.loads(mc.get("e43-fullstats"))
else:
# Load empty values
for invtype in types:
stats = {'bid_max': 0,
'ask_min': 0,
'bid_median': 0,
'bid_median_move': 0,
'ask_median': 0,
'ask_median_move': 0}
if stats:
typestats[invtype] = stats
initial_stats = {'active_orders': 0,
'archived_orders': 0,
'history_records': 0,
'new_orders': 0,
'updated_orders': 0,
'old_orders': 0,
'history_messages': 0,
'typestats': typestats}
# Create context for CSRF protection
rcontext = RequestContext(request, {'type_ids': type_ids, 'types': types, 'region': region, 'stats': initial_stats})
return render_to_response('home.haml', rcontext)
def home(request):
"""
Returns our static home template with a CSRF protection for our search as well as the stats layout.
"""
type_ids = [34, 35, 36, 37, 38, 39, 40, 29668]
region = 10000002
types = InvType.objects.filter(id__in=type_ids)
#
# Preload cached stats
#
# Connect to memcache
mc = get_memcache_client()
typestats = {}
if (mc.get("e43-fullstats") is not None):
initial_stats = ujson.loads(mc.get("e43-fullstats"))
else:
# Load empty values
for invtype in types:
stats = {
'bid_median': 0,
'bid_median_move': 0,
'ask_median': 0,
'ask_median_move': 0
}
if stats:
typestats[invtype] = stats
initial_stats = {'typestats': typestats}
# Create context for CSRF protection
rcontext = RequestContext(
request, {
'type_ids': type_ids,
'types': types,
'region': region,
'stats': initial_stats
})
return render_to_response('home.haml', rcontext)
def stats_json(request, region_id):
"""
Returns stat JSON for the front page
"""
# Connect to memcache
mc = get_memcache_client()
# Collect stats
# 1. Platform stats
# these is a disconnect between history and history messages/min -- history is orderhistory table which is all rows
# message per min is based on emdr which is multiple rows in one message.
if (mc.get("e43-stats-activeorders") is not None):
active_orders = mc.get("e43-stats-activeorders")
else:
active_orders = Orders.active.count()
mc.set("e43-stats-activeorders", active_orders, time=3600)
if (mc.get("e43-stats-archivedorders") is not None):
archived_orders = mc.get("e43-stats-archivedorders")
else:
archived_orders = Orders.archived.count()
mc.set("e43-stats-archivedorders", archived_orders, time=3600)
if (mc.get("e43-stats-history") is not None):
history = mc.get("e43-stats-history")
else:
history = OrderHistory.objects.count()
mc.set("e43-stats-history", history, time=3600)
new_orders_per_minute = EmdrStats.objects.filter(
status_type=1).order_by("-message_timestamp")[:1][0].status_count / 5
updated_orders_per_minute = EmdrStats.objects.filter(
status_type=2).order_by("-message_timestamp")[:1][0].status_count / 5
old_orders_per_minute = EmdrStats.objects.filter(
status_type=3).order_by("-message_timestamp")[:1][0].status_count / 5
history_messages_per_minute = EmdrStats.objects.filter(
status_type=4).order_by("-message_timestamp")[:1][0].status_count / 5
# 2. Minerals and PLEX
types = request.GET.getlist('type')
new_types = []
for item in types:
new_types.append(int(item))
types = new_types
typestats = {}
cache_item = {}
buymedian = 0
sellmedian = 0
for item in types:
# Still works if we have no data for that item
try:
# check to see if it's in the cache, if so use those values
if (mc.get("e43-stats" + str(item)) is not None):
cache_item = ujson.loads(mc.get("e43-stats" + str(item)))
buymedian = cache_item['buymedian']
sellmedian = cache_item['sellmedian']
# otherwise go to the DB for it
else:
# Catch error if we don't have any data for that type
try:
region_stats = ItemRegionStat.objects.filter(
mapregion_id=region_id, invtype_id=item)[:2][1]
buymedian = region_stats.buymedian
sellmedian = region_stats.sellmedian
except:
buymedian = 0
sellmedian = 0
region_stats_history = ItemRegionStatHistory.objects.filter(mapregion_id=region_id, invtype_id=item).order_by("-date")[:1][0]
# Get Jita prices
buy = Orders.active.filter(mapsolarsystem=30000142, invtype=item, is_bid=True).order_by("-price")[:1][0].price
sell = Orders.active.filter(mapsolarsystem=30000142, invtype=item, is_bid=False).order_by("price")[:1][0].price
stats = {'bid_max': buy,
'ask_min': sell,
'bid_median': buymedian,
'bid_median_move': region_stats_history.buymedian - buymedian,
'ask_median': sellmedian,
'ask_median_move': region_stats_history.sellmedian - sellmedian}
if stats:
typestats[item] = stats
except pylibmc.Error as e:
print e
# Create JSON
stat_json = simplejson.dumps({'active_orders': active_orders,
'archived_orders': archived_orders,
'history_records': history,
'new_orders': new_orders_per_minute,
'updated_orders': updated_orders_per_minute,
'old_orders': old_orders_per_minute,
'history_messages': history_messages_per_minute,
'typestats': typestats})
# Return JSON without using any template
return HttpResponse(stat_json, mimetype='application/json')
def ranking(request, group=0):
"""
This function generates the station ranks based on active orders in the DB
"""
# Connect to memcache
mc = get_memcache_client()
# Check if we already have a stored copy
if (mc.get("e43-station-ranking") is not None):
# Get values from mc if existent
ranking = mc.get("e43-station-ranking")
rank_list = ranking['rank_list']
generated_at = ranking['generated_at']
else:
#
# Generate numbers if there is no cached version present in memcache (anymore)
#
# Get top stations by number of orders
rank_list = Orders.active.values('stastation__id').annotate(
ordercount=Count('id')).order_by('-ordercount')[:50]
for rank in rank_list:
# Get station
station = StaStation.objects.get(id=rank['stastation__id'])
#
# Get group values
#
# Get ask/bid ISK volumes in that station by marketgroup in descending order
volumes_by_group = group_volume(station.id)[:10]
# Total volume in ISK
total_volume = 0
# Get group objects from DB and calculate total volume
for group in volumes_by_group:
try:
# Get market group
group['group'] = InvMarketGroup.objects.get(
id=group['market_group_id'])
except InvMarketGroup.DoesNotExist:
# Sometimes invTypes do not have a valid group - add pseudo-group
group['group'] = {}
group['group']['id'] = 0
group['group']['name'] = "No group"
total_volume += group['group_total']
#
# Get type values
#
# Get ask/bid ISK volumes in that station by marketgroup in descending order
volumes_by_type = type_volume(station.id)[:10]
# Get gtype objects from DB
for invType in volumes_by_type:
# Get market group
invType['type'] = InvType.objects.get(id=invType['invtype_id'])
rank.update({
'station': station,
'volume': total_volume,
'volumes_by_group': volumes_by_group,
'volumes_by_type': volumes_by_type
})
generated_at = pytz.utc.localize(datetime.datetime.utcnow())
# Expire after an hour
mc.set("e43-station-ranking", {
'rank_list': rank_list,
'generated_at': generated_at
},
time=3600)
rcontext = RequestContext(request, {
'rank_list': rank_list,
'generated_at': generated_at
})
return render_to_response('station/ranking.haml', rcontext)
def stats_json(request, region_id):
"""
Returns stat JSON for the front page
"""
# Connect to memcache
mc = get_memcache_client()
# Minerals and PLEX
types = request.GET.getlist('type')
new_types = []
for item in types:
new_types.append(int(item))
types = new_types
typestats = {}
cache_item = {}
buymedian = 0
sellmedian = 0
for item in types:
# Still works in case we have no data for that item
try:
# check to see if it's in the cache, if so use those values
if (mc.get("e43-stats" + str(item)) is not None):
cache_item = ujson.loads(mc.get("e43-stats" + str(item)))
buymedian = cache_item['buymedian']
sellmedian = cache_item['sellmedian']
# otherwise go to the DB for it
else:
# Catch error if we don't have any data for that type
try:
region_stats = ItemRegionStat.objects.filter(
mapregion_id=region_id, invtype_id=item)[:1][0]
buymedian = region_stats.buymedian
sellmedian = region_stats.sellmedian
except:
buymedian = 0
sellmedian = 0
region_stats_history = ItemRegionStatHistory.objects.filter(
mapregion_id=region_id,
invtype_id=item).order_by("-date")[:1][0]
stats = {
'bid_median': buymedian,
'bid_median_move': region_stats_history.buymedian - buymedian,
'ask_median': sellmedian,
'ask_median_move': region_stats_history.sellmedian - sellmedian
}
if stats:
typestats[item] = stats
except pylibmc.Error as e:
print e
# Create JSON
stat_json = json.dumps({'typestats': typestats})
# Save complete stats to memcached
mc.set("e43-fullstats", stat_json)
# Return JSON without using any template
return HttpResponse(stat_json, content_type='application/json')
def ranking(request, group=0):
"""
This function generates the station ranks based on active orders in the DB
"""
# Connect to memcache
mc = get_memcache_client()
# Check if we already have a stored copy
if (mc.get("e43-station-ranking") is not None):
# Get values from mc if existent
ranking = mc.get("e43-station-ranking")
rank_list = ranking['rank_list']
generated_at = ranking['generated_at']
else:
#
# Generate numbers if there is no cached version present in memcache (anymore)
#
# Get top stations by number of orders
rank_list = Orders.active.values('stastation__id').annotate(ordercount=Count('id')).order_by('-ordercount')[:50]
for rank in rank_list:
# Get station
station = StaStation.objects.get(id=rank['stastation__id'])
#
# Get group values
#
# Get ask/bid ISK volumes in that station by marketgroup in descending order
volumes_by_group = group_volume(station.id)[:10]
# Total volume in ISK
total_volume = 0
# Get group objects from DB and calculate total volume
for group in volumes_by_group:
try:
# Get market group
group['group'] = InvMarketGroup.objects.get(id=group['market_group_id'])
except InvMarketGroup.DoesNotExist:
# Sometimes invTypes do not have a valid group - add pseudo-group
group['group'] = {}
group['group']['id'] = 0
group['group']['name'] = "No group"
total_volume += group['group_total']
#
# Get type values
#
# Get ask/bid ISK volumes in that station by marketgroup in descending order
volumes_by_type = type_volume(station.id)[:10]
# Get gtype objects from DB
for invType in volumes_by_type:
# Get market group
invType['type'] = InvType.objects.get(id=invType['invtype_id'])
rank.update({'station': station,
'volume': total_volume,
'volumes_by_group': volumes_by_group,
'volumes_by_type': volumes_by_type})
generated_at = pytz.utc.localize(datetime.datetime.utcnow())
# Expire after an hour
mc.set("e43-station-ranking", {'rank_list': rank_list, 'generated_at': generated_at}, time=3600)
rcontext = RequestContext(request, {'rank_list': rank_list, 'generated_at': generated_at})
return render_to_response('station/ranking.haml', rcontext)
def stats_json(request, region_id):
"""
Returns stat JSON for the front page
"""
# Connect to memcache
mc = get_memcache_client()
# Minerals and PLEX
types = request.GET.getlist('type')
new_types = []
for item in types:
new_types.append(int(item))
types = new_types
typestats = {}
cache_item = {}
buymedian = 0
sellmedian = 0
for item in types:
# Still works in case we have no data for that item
try:
# check to see if it's in the cache, if so use those values
if (mc.get("e43-stats" + str(item)) is not None):
cache_item = ujson.loads(mc.get("e43-stats" + str(item)))
buymedian = cache_item['buymedian']
sellmedian = cache_item['sellmedian']
# otherwise go to the DB for it
else:
# Catch error if we don't have any data for that type
try:
region_stats = ItemRegionStat.objects.filter(mapregion_id=region_id, invtype_id=item)[:1][0]
buymedian = region_stats.buymedian
sellmedian = region_stats.sellmedian
except:
buymedian = 0
sellmedian = 0
region_stats_history = ItemRegionStatHistory.objects.filter(mapregion_id=region_id, invtype_id=item).order_by("-date")[:1][0]
stats = {'bid_median': buymedian,
'bid_median_move': region_stats_history.buymedian - buymedian,
'ask_median': sellmedian,
'ask_median_move': region_stats_history.sellmedian - sellmedian}
if stats:
typestats[item] = stats
except pylibmc.Error as e:
print e
# Create JSON
stat_json = json.dumps({'typestats': typestats})
# Save complete stats to memcached
mc.set("e43-fullstats", stat_json)
# Return JSON without using any template
return HttpResponse(stat_json, mimetype='application/json')
