zweizeichen · October 3, 2012 12:03 · Oct 3, 2012
diff --git a/station.haml b/station.haml
@@ -0,0 +1,38 @@
+- extends "base.haml"
+- load cache
+- load humanize
+- block title
+  element43 - Station - Best Margins
+- block content
+  %h1
+    {{station.name}}
+  .row-fluid
+    .span12
+      %table.table.table-striped.table-condensed
+        %thead
+          %tr
+            %th
+            %th
+              Daily Volume
+            %th
+              Best Ask
+            %th
+              Best Bid
+            %th
+              Margin
+        %tbody
+          - for item in top_margins
+             %tr
+               %td
+                 %a{'href':'/market/region/{{station.region.id}}/{{item.type.id}}/'}
+                   {{item.type.name}}
+               %td
+                 {{item.volume|intcomma}}
+               %td
+                 {{item.top_ask|intcomma}} ISK
+               %td
+                 {{item.top_bid|intcomma}} ISK
+               %td
+                 {{item.margin|floatformat:2}} %
+
+
diff --git a/station.py b/station.py
@@ -0,0 +1,64 @@
+def margins(request, station_id = 60003760):
+	"""
+	Generates a list like http://goonmetrics.com/importing/
+	"""
+
+	# Get station object - default to CNAP if something goes wrong
+	try:
+		station = StaStation.objects.get(id = station_id)
+	except:
+		station_id = 60003760
+		station = StaStation.objects.get(id = station_id)
+
+	# Get all orders grouped by type
+	top_ask = Orders.objects.filter(stastation = station, is_bid = False).values('invtype').annotate(min_price=Min('price'))
+	top_bid = Orders.objects.filter(stastation = station, is_bid = True).values('invtype').annotate(max_price=Max('price'))
+
+	# Get re-structured dicts and sets
+	ask = {}
+	bid = {}
+
+	for item in top_ask:
+		ask[item['invtype']] = item['min_price']
+
+	ask_set = set(ask)
+
+	for item in top_bid:
+		bid[item['invtype']] = item['max_price']
+	bid_set = set(bid)
+
+	# Get types with both buy and sell orders
+	types = ask_set.intersection(bid_set)
+
+	# Store margins
+	top_margins = []
+
+	for invtype in types:
+		margin = ((ask[invtype] / bid[invtype]) * 100)
+
+		try:
+			volume = ast.literal_eval(History.objects.get(mapregion = station.region, invtype_id = invtype).history_data).itervalues().next()[4]
+		except:
+			volume = 0
+
+		score = volume * margin
+
+		# Filter Junk
+		if (margin > 0) and (margin < 10000):
+			top_margins.append({'type': invtype, 'margin': margin, 'score': score, 'volume':volume})
+
+	# Sort margins
+	top_margins = sorted(top_margins, key=lambda k: k['score'])
+	top_margins.reverse()
+	del top_margins[100:]
+
+	# Take top 50 margins
+	for margin in top_margins:
+		margin['type'] = InvType.objects.get(id = margin['type'])
+
+		margin['top_ask'] = Orders.objects.filter(stastation = station, is_bid = False, invtype_id = margin['type']).aggregate(Min('price'))['price__min']
+		margin['top_bid'] = Orders.objects.filter(stastation = station, is_bid = True, invtype_id = margin['type']).aggregate(Max('price'))['price__max']
+
+	rcontext = RequestContext(request, {'station':station, 'top_margins':top_margins})
+
+	return render_to_response('trading/station/station.haml', rcontext)