def aggr_plot():
params = parseReq(request)
day_start = params.get('day_start')
day_end = params.get('day_end')
key = params.get('key')
aggregate = params.get('aggregate')
if key and aggregate:
if day_start:
day_start = datetime.datetime.fromisoformat(day_start)
else:
day_start = datetime.datetime(2020, 3, 1)
if day_end:
day_end = datetime.datetime.fromisoformat(day_end)
else:
day_end = datetime.datetime.today()
entries = analysis.getAllEntriesOfDayRange(day_start, day_end)
try:
results = analysis.aggregateMultiple(entries, key, aggregate)
except ValueError as e:
print(e)
abort(400)
results = analysis.padMissingDays(results)
if aggregate == "all" and not type(key) is list:
# make a box plot
graph = pygal.Box(x_label_rotation=35, truncate_label=-1)
graph.title = "distribution of " + listToVerboseStr(
key) + " over time."
graph.x_labels = [x["timestamp"] for x in results]
for day in results:
# if not day["values"][key+"_"+aggregate][0]:
# graph.add(day["timestamp"],None, allow_interruptions=True)
# else:
graph.add(day["timestamp"],
day["values"][key + "_" + aggregate],
allow_interruptions=True)
elif aggregate == "all" or "all" in aggregate:
abort(400)
else:
graph = pygal.Line(x_label_rotation=35, truncate_label=-1)
graph.title = listToVerboseStr(
aggregate) + " of " + listToVerboseStr(key) + " over time."
graph.x_labels = [x["timestamp"] for x in results]
if not type(key) is list:
key = [key]
if not type(aggregate) is list:
aggregate = [aggregate] * len(key)
for k, a in zip(key, aggregate):
data = [x["values"][k + "_" + a] for x in results]
graph.add(k + " " + a, data, allow_interruptions=True)
graph_data = graph.render_response()
return graph_data
else:
abort(400)
def rawdata():
params = parseReq(request)
day = params.get('day')
day_start = params.get('day_start')
day_end = params.get('day_end')
if day:
day = datetime.datetime.fromisoformat(day)
return jsonify(analysis.getAllEntriesOfDay(day))
elif day_start and day_end:
day_start = datetime.datetime.fromisoformat(day_start)
day_end = datetime.datetime.fromisoformat(day_end)
return jsonify(analysis.getAllEntriesOfDayRange(day_start, day_end))
else:
abort(400)
def user_plot():
params = parseReq(request)
user_id = params.get("id")
day_start = params.get('day_start')
day_end = params.get('day_end')
key = params.get('key')
if user_id and key:
if day_start:
day_start = datetime.datetime.fromisoformat(day_start)
else:
day_start = datetime.datetime(2020, 3, 1)
if day_end:
day_end = datetime.datetime.fromisoformat(day_end)
else:
day_end = datetime.datetime.today()
entries = analysis.getAllEntriesOfDayRange(day_start, day_end, user_id)
try:
results = analysis.aggregateMultiple(entries, key, "all")
except ValueError as e:
print(e)
abort(400)
results = analysis.padMissingDays(results)
graph = pygal.Line(x_label_rotation=35, truncate_label=-1)
graph.title = listToVerboseStr(key) + " of yourself over time."
graph.x_labels = [x["timestamp"] for x in results]
if not type(key) is list:
key = [key]
aggregate = ["all"] * len(key)
for k, a in zip(key, aggregate):
data = [
x["values"][k + "_" + a][0] for x in results
if len(x["values"][k + "_" + a]) > 0
]
graph.add(k + " " + a, data, allow_interruptions=True)
graph_data = graph.render_response()
return graph_data
else:
abort(400)
def num_submissions():
params = parseReq(request)
day = params.get('day')
day_start = params.get('day_start')
day_end = params.get('day_end')
if day:
day = datetime.datetime.fromisoformat(day)
entries = analysis.getAllEntriesOfDay(day)
elif day_start and day_end:
day_start = datetime.datetime.fromisoformat(day_start)
day_end = datetime.datetime.fromisoformat(day_end)
entries = analysis.getAllEntriesOfDayRange(day_start, day_end)
else:
abort(400)
num_entries = [{
"numberOfEntries":
len(day),
"date":
datetime.datetime.fromisoformat(
day[0]["timestamp"]).date().isoformat()
} for day in entries]
return jsonify(num_entries)
def user_timeline():
params = parseReq(request)
user_id = params.get("id")
day_start = params.get('day_start')
day_end = params.get('day_end')
key = params.get('key')
if user_id and key:
if day_start:
day_start = datetime.datetime.fromisoformat(day_start)
else:
day_start = datetime.datetime(2020, 3, 1)
if day_end:
day_end = datetime.datetime.fromisoformat(day_end)
else:
day_end = datetime.datetime.today()
entries = analysis.getAllEntriesOfDayRange(day_start, day_end, user_id)
try:
results = analysis.aggregateMultiple(entries, key, "all")
return jsonify(results)
except ValueError as e:
print(e)
abort(400)
else:
abort(400)
def aggr():
params = parseReq(request)
day_start = params.get('day_start')
day_end = params.get('day_end')
key = params.get('key')
aggregate = params.get('aggregate')
if key and aggregate:
if day_start:
day_start = datetime.datetime.fromisoformat(day_start)
else:
day_start = datetime.datetime(2020, 3, 1)
if day_end:
day_end = datetime.datetime.fromisoformat(day_end)
else:
day_end = datetime.datetime.today()
entries = analysis.getAllEntriesOfDayRange(day_start, day_end)
try:
results = analysis.aggregateMultiple(entries, key, aggregate)
return jsonify(results)
except ValueError as e:
print(e)
abort(400)
else:
abort(400)