def build_report(project):
daily_maximum = random.randint(1000, 10000)
rollup = 60 * 60 * 24
series = [
(
timestamp + (i * rollup),
(
# Resolved issues
random.randint(0, daily_maximum),
# Unresolved issues
random.randint(0, daily_maximum),
# Transactions
random.randint(0, daily_maximum),
),
) for i in range(0, 7)
]
aggregates = [
random.randint(0, daily_maximum *
7) if random.random() < 0.9 else None
for _ in range(0, 4)
]
return reports.Report(
series,
aggregates,
build_issue_summaries(),
build_usage_outcomes(),
build_calendar_data(project),
key_events=[(g.id, random.randint(0, 1000))
for g in Group.objects.all()[:3]],
key_transactions=[("/transaction/1", 1234, project.id, 1111, 2222)
],
)
def build_report(project):
daily_maximum = random.randint(1000, 10000)
rollup = 60 * 60 * 24
series = [(
timestamp + (i * rollup),
(random.randint(0, daily_maximum), random.randint(0, daily_maximum))
) for i in xrange(0, 7)]
aggregates = [
random.randint(0, daily_maximum * 7) if random.random() < 0.9 else None for _ in xrange(0, 4)
]
return reports.Report(
series,
aggregates,
build_issue_summaries(),
build_usage_summary(),
build_calendar_data(project),
)