def top_crashes(top=10, start="", end="", *args):
start, end = parse_start_end(start, end)
top = int(top)
if "force" in args or not r.exists(top_crashes_key(start, end)):
r.delete(top_crashes_key(start, end))
with timer():
map_data(_top_crashes, start, end, start=datetime.strptime(start, "%Y%m%d"), end=datetime.strptime(end, "%Y%m%d"))
with timer():
for i in sorted(r.hgetall(top_crashes_key(start, end)).items(), key=lambda x: int(x[1]), reverse=True)[:top]:
print i
def crash_counts(self, start="", end=""):
if not (isinstance(start, datetime) and isinstance(end, datetime)):
start, end = parse_start_end(start, end)
start, end = datetime(int(start[:4]), int(start[4:6]), int(start[6:8])), datetime(int(end[:4]), int(end[4:6]), int(end[6:8]))
start, end = int(buckify(self.hours, start)), int(buckify(self.hours, end))
crashes = self.items()
t = []
crash_counts = []
for time, count in crashes:
time = int(time)
if time >= start and time <= end:
t.append(time)
crash_counts.append(int(count))
return t, crash_counts
def crashes_time_series(type="global", start="", end="", hours=24, *args):
start, end = parse_start_end(start, end)
hours = int(hours)
cc = CrashCounts(type, hours)
t, counts = cc.crash_counts(start, end)
elementary_stats(counts)
plt.title("{} crashes from {} to {} (bin={} hours)".format(type, start, end, hours))
plt.xlabel("Time")
plt.ylabel("Crashes")
plt.xlim(min(t), max(t))
plt.ylim(0, max(counts) * 1.2)
plt.grid(True)
plt.plot(t, counts)
plt.show()
