Prepare graphs for an expected time period (since July 2012) rather than for the time period found in the DB, which can be reduced to absurdity with certain queries. Graphs always have a consistent X-axis, ugly logic to combine disparate data series can be removed.
On 'Publisher' and 'Dataset' tabs, always graph the *top 20* series regardless of the month currently rendered in the table. This makes more sense from a useability POV.
Finally, some client side error checking was improved.
--- a/ckanext/ga_report/controller.py
+++ b/ckanext/ga_report/controller.py
@@ -191,25 +191,11 @@
q = model.Session.query(GA_Stat).\
filter(GA_Stat.stat_name==k).\
order_by(GA_Stat.period_name)
- # Run the query on all months to gather graph data
- graph = {}
- for stat in q:
- graph[ stat.key ] = graph.get(stat.key,{
- 'name':stat.key,
- 'data': []
- })
- graph[ stat.key ]['data'].append({
- 'x':_get_unix_epoch(stat.period_name),
- 'y':float(stat.value)
- })
- setattr(c, v+'_graph', json.dumps( _to_rickshaw(graph.values(),percentageMode=True) ))
-
# Buffer the tabular data
if c.month:
entries = []
q = q.filter(GA_Stat.period_name==c.month).\
order_by('ga_stat.value::int desc')
-
d = collections.defaultdict(int)
for e in q.all():
d[e.key] += int(e.value)
@@ -218,6 +204,23 @@
entries.append((key,val,))
entries = sorted(entries, key=operator.itemgetter(1), reverse=True)
+ # Run a query on all months to gather graph data
+ graph_query = model.Session.query(GA_Stat).\
+ filter(GA_Stat.stat_name==k).\
+ order_by(GA_Stat.period_name)
+ graph_dict = {}
+ for stat in graph_query:
+ graph_dict[ stat.key ] = graph_dict.get(stat.key,{
+ 'name':stat.key,
+ 'raw': {}
+ })
+ graph_dict[ stat.key ]['raw'][stat.period_name] = float(stat.value)
+ stats_in_table = [x[0] for x in entries]
+ stats_not_in_table = set(graph_dict.keys()) - set(stats_in_table)
+ stats = stats_in_table + sorted(list(stats_not_in_table))
+ graph = [graph_dict[x] for x in stats]
+ setattr(c, v+'_graph', json.dumps( _to_rickshaw(graph,percentageMode=True) ))
+
# Get the total for each set of values and then set the value as
# a percentage of the total
if k == 'Social sources':
@@ -246,7 +249,7 @@
writer = csv.writer(response)
writer.writerow(["Publisher Title", "Publisher Name", "Views", "Visits", "Period Name"])
- top_publishers, top_publishers_graph = _get_top_publishers(None)
+ top_publishers = _get_top_publishers(limit=None)
for publisher,view,visit in top_publishers:
writer.writerow([publisher.title.encode('utf-8'),
@@ -268,7 +271,7 @@
if not c.publisher:
abort(404, 'A publisher with that name could not be found')
- packages = self._get_packages(c.publisher)
+ packages = self._get_packages(publisher=c.publisher, month=c.month)
response.headers['Content-Type'] = "text/csv; charset=utf-8"
response.headers['Content-Disposition'] = \
str('attachment; filename=datasets_%s_%s.csv' % (c.publisher_name, month,))
@@ -297,15 +300,16 @@
if c.month:
c.month_desc = ''.join([m[1] for m in c.months if m[0]==c.month])
- c.top_publishers, graph_data = _get_top_publishers()
- c.top_publishers_graph = json.dumps( _to_rickshaw(graph_data.values()) )
+ c.top_publishers = _get_top_publishers()
+ graph_data = _get_top_publishers_graph()
+ c.top_publishers_graph = json.dumps( _to_rickshaw(graph_data) )
return render('ga_report/publisher/index.html')
- def _get_packages(self, publisher=None, count=-1):
+ def _get_packages(self, publisher=None, month='', count=-1):
'''Returns the datasets in order of views'''
have_download_data = True
- month = c.month or 'All'
+ month = month or 'All'
if month != 'All':
have_download_data = month >= DOWNLOADS_AVAILABLE_FROM
@@ -382,78 +386,71 @@
entry = q.filter(GA_Url.period_name==c.month).first()
c.publisher_page_views = entry.pageviews if entry else 0
- c.top_packages = self._get_packages(c.publisher, 20)
+ c.top_packages = self._get_packages(publisher=c.publisher, count=20, month=c.month)
# Graph query
- top_package_names = [ x[0].name for x in c.top_packages ]
+ top_packages_all_time = self._get_packages(publisher=c.publisher, count=20, month='All')
+ top_package_names = [ x[0].name for x in top_packages_all_time ]
graph_query = model.Session.query(GA_Url,model.Package)\
.filter(model.Package.name==GA_Url.package_id)\
.filter(GA_Url.url.like('/dataset/%'))\
.filter(GA_Url.package_id.in_(top_package_names))
- graph_data = {}
+ all_series = {}
for entry,package in graph_query:
if not package: continue
if entry.period_name=='All': continue
- graph_data[package.id] = graph_data.get(package.id,{
+ all_series[package.name] = all_series.get(package.name,{
'name':package.title,
- 'data':[]
+ 'raw': {}
})
- graph_data[package.id]['data'].append({
- 'x':_get_unix_epoch(entry.period_name),
- 'y':int(entry.pageviews),
- })
-
- c.graph_data = json.dumps( _to_rickshaw(graph_data.values()) )
+ all_series[package.name]['raw'][entry.period_name] = int(entry.pageviews)
+ graph = [ all_series[series_name] for series_name in top_package_names ]
+ c.graph_data = json.dumps( _to_rickshaw(graph) )
return render('ga_report/publisher/read.html')
def _to_rickshaw(data, percentageMode=False):
if data==[]:
return data
- # Create a consistent x-axis
- num_points = [ len(package['data']) for package in data ]
- ideal_index = num_points.index( max(num_points) )
- x_axis = [ point['x'] for point in data[ideal_index]['data'] ]
- for package in data:
- xs = [ point['x'] for point in package['data'] ]
- assert set(xs).issubset( set(x_axis) ), (xs, x_axis)
- # Zero pad any missing values
- for x in set(x_axis).difference(set(xs)):
- package['data'].append( {'x':x, 'y':0} )
- assert len(package['data'])==len(x_axis), (len(package['data']),len(x_axis),package['data'],x_axis,set(x_axis).difference(set(xs)))
- if percentageMode:
- # Transform data into percentage stacks
- totals = {}
- for x in x_axis:
- for package in data:
- for point in package['data']:
- totals[ point['x'] ] = totals.get(point['x'],0) + point['y']
- # Roll insignificant series into a catch-all
- THRESHOLD = 0.01
- significant_series = []
- for package in data:
- for point in package['data']:
- fraction = float(point['y']) / totals[point['x']]
- if fraction>THRESHOLD and not (package in significant_series):
- significant_series.append(package)
- temp = {}
- for package in data:
- if package in significant_series: continue
- for point in package['data']:
- temp[point['x']] = temp.get(point['x'],0) + point['y']
- catch_all = { 'name':'Other','data': [ {'x':x,'y':y} for x,y in temp.items() ] }
- # Roll insignificant series into one
- data = significant_series
- data.append(catch_all)
- # Turn each point into a percentage
- for package in data:
- for point in package['data']:
- point['y'] = (point['y']*100) / totals[point['x']]
- # Sort the points
- for package in data:
- package['data'] = sorted( package['data'], key=lambda x:x['x'] )
- # Strip the latest month's incomplete analytics
- package['data'] = package['data'][:-1]
+ # x-axis is every month in c.months. Note that data might not exist
+ # for entire history, eg. for recently-added datasets
+ x_axis = [x[0] for x in c.months]
+ x_axis.reverse() # Ascending order
+ x_axis = x_axis[:-1] # Remove latest month
+ totals = {}
+ for series in data:
+ series['data'] = []
+ for x_string in x_axis:
+ x = _get_unix_epoch( x_string )
+ y = series['raw'].get(x_string,0)
+ series['data'].append({'x':x,'y':y})
+ totals[x] = totals.get(x,0)+y
+ if not percentageMode:
+ return data
+ # Turn all data into percentages
+ # Roll insignificant series into a catch-all
+ THRESHOLD = 1
+ raw_data = data
+ data = []
+ for series in raw_data:
+ for point in series['data']:
+ percentage = (100*float(point['y'])) / totals[point['x']]
+ if not (series in data) and percentage>THRESHOLD:
+ data.append(series)
+ point['y'] = percentage
+ others = [ x for x in raw_data if not (x in data) ]
+ if len(others):
+ data_other = []
+ for i in range(len(x_axis)):
+ x = _get_unix_epoch(x_axis[i])
+ y = 0
+ for series in others:
+ y += series['data'][i]['y']
+ data_other.append({'x':x,'y':y})
+ data.append({
+ 'name':'Other',
+ 'data': data_other
+ })
return data
@@ -478,35 +475,51 @@
top_publishers = []
res = connection.execute(q, month)
- department_ids = []
for row in res:
g = model.Group.get(row[0])
if g:
- department_ids.append(row[0])
top_publishers.append((g, row[1], row[2]))
-
- graph = {}
- if limit is not None:
- # Query for a history graph of these publishers
- q = model.Session.query(
- GA_Url.department_id,
- GA_Url.period_name,
- func.sum(cast(GA_Url.pageviews,sqlalchemy.types.INT)))\
- .filter( GA_Url.department_id.in_(department_ids) )\
- .filter( GA_Url.period_name!='All' )\
- .filter( GA_Url.url.like('/dataset/%') )\
- .filter( GA_Url.package_id!='' )\
- .group_by( GA_Url.department_id, GA_Url.period_name )
- for dept_id,period_name,views in q:
- graph[dept_id] = graph.get( dept_id, {
- 'name' : model.Group.get(dept_id).title,
- 'data' : []
- })
- graph[dept_id]['data'].append({
- 'x': _get_unix_epoch(period_name),
- 'y': views
- })
- return top_publishers, graph
+ return top_publishers
+
+
+def _get_top_publishers_graph(limit=20):
+ '''
+ Returns a list of the top 20 publishers by dataset visits.
+ (The number to show can be varied with 'limit')
+ '''
+ connection = model.Session.connection()
+ q = """
+ select department_id, sum(pageviews::int) views
+ from ga_url
+ where department_id <> ''
+ and package_id <> ''
+ and url like '/dataset/%%'
+ and period_name='All'
+ group by department_id order by views desc
+ """
+ if limit:
+ q = q + " limit %s;" % (limit)
+
+ res = connection.execute(q)
+ department_ids = [ row[0] for row in res ]
+
+ # Query for a history graph of these department ids
+ q = model.Session.query(
+ GA_Url.department_id,
+ GA_Url.period_name,
+ func.sum(cast(GA_Url.pageviews,sqlalchemy.types.INT)))\
+ .filter( GA_Url.department_id.in_(department_ids) )\
+ .filter( GA_Url.url.like('/dataset/%') )\
+ .filter( GA_Url.package_id!='' )\
+ .group_by( GA_Url.department_id, GA_Url.period_name )
+ graph_dict = {}
+ for dept_id,period_name,views in q:
+ graph_dict[dept_id] = graph_dict.get( dept_id, {
+ 'name' : model.Group.get(dept_id).title,
+ 'raw' : {}
+ })
+ graph_dict[dept_id]['raw'][period_name] = views
+ return [ graph_dict[id] for id in department_ids ]
def _get_publishers():
--- a/ckanext/ga_report/public/scripts/vendor/rickshaw.min.js
+++ b/ckanext/ga_report/public/scripts/vendor/rickshaw.min.js
@@ -1,2 +1,3 @@
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b;a=a||1;var c=200,d=Math.floor((new Date).getTime()/1e3);this.addData=function(b){var e=Math.random()*100+15+c,f=b[0].length,g=1;b.forEach(function(b){var c=Math.random()*20,h=e/25+g++ +(Math.cos(f*g*11/960)+2)*15+(Math.cos(f/7)+2)*7+(Math.cos(f/17)+2)*1;b.push({x:f*a+d,y:h+c})}),c=e*.85}},Rickshaw.namespace("Rickshaw.Fixtures.Time"),Rickshaw.Fixtures.Time=function(){var a=(new Date).getTimezoneOffset()*60,b=this;this.months=["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],this.units=[{name:"decade",seconds:315576e3,formatter:function(a){return parseInt(a.getUTCFullYear()/10)*10}},{name:"year",seconds:31557600,formatter:function(a){return a.getUTCFullYear()}},{name:"month",seconds:2635200,formatter:function(a){return b.months[a.getUTCMonth()]}},{name:"week",seconds:604800,formatter:function(a){return b.formatDate(a)}},{name:"day",seconds:86400,formatter:function(a){return a.getUTCDate()}},{name:"6 hour",seconds:21600,formatter:function(a){return b.formatTime(a)}},{name:"hour",seconds:3600,formatter:function(a){return b.formatTime(a)}},{name:"15 minute",seconds:900,formatter:function(a){return b.formatTime(a)}},{name:"minute",seconds:60,formatter:function(a){return a.getUTCMinutes()}},{name:"15 second",seconds:15,formatter:function(a){return a.getUTCSeconds()+"s"}},{name:"second",seconds:1,formatter:function(a){return a.getUTCSeconds()+"s"}}],this.unit=function(a){return this.units.filter(function(b){return a==b.name}).shift()},this.formatDate=function(a){return a.toUTCString().match(/, (\w+ \w+ \w+)/)[1]},this.formatTime=function(a){return a.toUTCString().match(/(\d+:\d+):/)[1]},this.ceil=function(a,b){if(b.name=="month"){var c=new Date((a+b.seconds-1)*1e3),d=new Date(0);return d.setUTCFullYear(c.getUTCFullYear()),d.setUTCMonth(c.getUTCMonth()),d.setUTCDate(1),d.setUTCHours(0),d.setUTCMinutes(0),d.setUTCSeconds(0),d.setUTCMilliseconds(0),d.getTime()/1e3}if(b.name=="year"){var c=new Date((a+b.seconds-1)*1e3),d=new 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a},this.onComplete=a.onComplete||function(){},this.onError=a.onError||function(){},this.args=a,this.request()},request:function(){$.ajax({url:this.dataURL,dataType:"json",success:this.success.bind(this),error:this.error.bind(this)})},error:function(){console.log("error loading dataURL: "+this.dataURL),this.onError(this)},success:function(a,b){a=this.onData(a),this.args.series=this._splice({data:a,series:this.args.series}),this.graph=new Rickshaw.Graph(this.args),this.graph.render(),this.onComplete(this)},_splice:function(a){var b=a.data,c=a.series;return a.series?(c.forEach(function(a){var c=a.key||a.name;if(!c)throw"series needs a key or a name";b.forEach(function(b){var d=b.key||b.name;if(!d)throw"data needs a key or a name";if(c==d){var e=["color","name","data"];e.forEach(function(c){a[c]=a[c]||b[c]})}})}),c):b}}),Rickshaw.namespace("Rickshaw.Graph.Annotate"),Rickshaw.Graph.Annotate=function(a){var b=this.graph=a.graph;this.elements={t