Add graphs for useful trends

[jdm]

We're interested in graphs showing the following:

• average number of intermittent failures per PR over time
• average number of intermittent failures per PR per platform over time

It's probably easiest to generate the required data in a JS array as part of

intermittent-failure-tracker/intermittent_failure_tracker/flask_server.py

Lines 112 to 127 in f905eca

	#endpoint for production front end - serves form for getting records from the db by name and date range
	@app.route("/search")
	def search():
	if request.args.get('isQuery') :
	if request.args.get('dateCheck') :
	result = db.adv_query(request.args.get('filename'), request.args.get('start'), request.args.get('end'))
	sorted_result = sorted(result, key=itemgetter('test_file'))
	grouped = itertools.groupby(sorted_result, lambda x: x['test_file'])
	unsorted_summary = map(lambda x: {'test_file': x[0], 'count': len(list(x[1]))}, grouped)
	summary = sorted(unsorted_summary, key=itemgetter('count'), reverse=True)
	else :
	result = db.adv_query(request.args.get('filename'), request.args.get('defaultStart'), request.args.get('defaultEnd'))
	summary = [{'test_file': request.args.get('filename'), 'count': len(result)}]
	return render_template('searchtool.html', records=result, summary=summary)
	else :
	return render_template('searchtool.html')

and

intermittent-failure-tracker/intermittent_failure_tracker/templates/searchtool.html

Line 68 in f905eca

$(document).ready(function() {

and then create the actual graph using your favourite JS charting library.