From 22a16f794317e5ed1a4c708ac45a737159f7cfae Mon Sep 17 00:00:00 2001
From: Mario Raciti <mario.raciti@inaf.it>
Date: Tue, 9 Mar 2021 18:51:49 +0100
Subject: [PATCH] TMSS-474: Update cycle start and stop dates to actual values
---
SAS/TMSS/backend/src/tmss/tmssapp/populate.py | 143 +++++++++++++++++-
1 file changed, 140 insertions(+), 3 deletions(-)
diff --git a/SAS/TMSS/backend/src/tmss/tmssapp/populate.py b/SAS/TMSS/backend/src/tmss/tmssapp/populate.py
index d9352294552..099b190a54d 100644
--- a/SAS/TMSS/backend/src/tmss/tmssapp/populate.py
+++ b/SAS/TMSS/backend/src/tmss/tmssapp/populate.py
@@ -133,11 +133,55 @@ def populate_test_data():
def populate_cycles(apps, schema_editor):
- for nr in range(0, 18):
+ cycles_info = [] # TODO: For debugging purposes, remove it when done.
+
+ # Cycle 0 deviates from any patterns
+ cycle = models.Cycle.objects.create(name="Cycle 00",
+ description="Lofar Cycle 0",
+ start=datetime(2013, 2, 11, 0, 0, 0, 0,
+ tzinfo=timezone.utc),
+ stop=datetime(2013, 11, 14, 0, 0, 0, 0,
+ tzinfo=timezone.utc))
+
+ models.CycleQuota.objects.bulk_create([models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time"),
+ value=0.8 * cycle.duration.total_seconds()),
+ # rough guess. 80% of total time available for observing
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="cep_processing_time"),
+ value=0.8 * cycle.duration.total_seconds()),
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(name="lta_storage"),
+ value=0), # needs to be filled in by user (SOS)
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="support_time"),
+ value=0), # needs to be filled in by user (SOS)
+
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time_commissioning"),
+ value=0.05 * cycle.duration.total_seconds()),
+ # rough guess. 5% of total time available for observing
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time_prio_a"),
+ value=0), # needs to be filled in by user (SOS)
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time_prio_b"),
+ value=0) # needs to be filled in by user (SOS)
+ ])
+ cycles_info.append((cycle.name, cycle.start, cycle.stop))
+
+ # Cycles 1-10 follow the same pattern
+ for nr in range(1, 11):
cycle = models.Cycle.objects.create(name="Cycle %02d" % nr,
description="Lofar Cycle %s" % nr,
- start=datetime(2013+nr//2, 6 if nr%2==0 else 11, 1, 0, 0, 0, 0, tzinfo=timezone.utc),
- stop=datetime(2013+(nr+1)//2, 6 if nr%2==1 else 11, 1, 0, 0, 0, 0, tzinfo=timezone.utc))
+ start=datetime(2013+nr//2, 5 if nr%2==0 else 11, 15, 0, 0, 0, 0, tzinfo=timezone.utc),
+ stop=datetime(2013+(nr+1)//2, 5 if nr%2==1 else 11, 14, 0, 0, 0, 0, tzinfo=timezone.utc))
models.CycleQuota.objects.bulk_create([models.CycleQuota(cycle=cycle,
resource_type=ResourceType.objects.get(name="observing_time"),
@@ -162,6 +206,99 @@ def populate_cycles(apps, schema_editor):
resource_type=ResourceType.objects.get(name="observing_time_prio_b"),
value=0) # needs to be filled in by user (SOS)
])
+ cycles_info.append((cycle.name, cycle.start, cycle.stop))
+
+ # Cycle 11 deviates from any patterns
+ cycle = models.Cycle.objects.create(name="Cycle 11",
+ description="Lofar Cycle 11",
+ start=datetime(2018, 11, 15, 0, 0, 0, 0,
+ tzinfo=timezone.utc),
+ stop=datetime(2019, 5, 31, 0, 0, 0, 0,
+ tzinfo=timezone.utc))
+
+ models.CycleQuota.objects.bulk_create([models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time"),
+ value=0.8 * cycle.duration.total_seconds()),
+ # rough guess. 80% of total time available for observing
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="cep_processing_time"),
+ value=0.8 * cycle.duration.total_seconds()),
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="lta_storage"),
+ value=0), # needs to be filled in by user (SOS)
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="support_time"),
+ value=0), # needs to be filled in by user (SOS)
+
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time_commissioning"),
+ value=0.05 * cycle.duration.total_seconds()),
+ # rough guess. 5% of total time available for observing
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time_prio_a"),
+ value=0), # needs to be filled in by user (SOS)
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time_prio_b"),
+ value=0) # needs to be filled in by user (SOS)
+ ])
+ cycles_info.append((cycle.name, cycle.start, cycle.stop))
+
+ # Cycles 12-19 follow the same pattern
+ for nr in range(12, 20):
+ cycle = models.Cycle.objects.create(name="Cycle %02d" % nr,
+ description="Lofar Cycle %s" % nr,
+ start=datetime(2013 + nr // 2, 6 if nr % 2 == 0 else 12, 1, 0, 0, 0, 0,
+ tzinfo=timezone.utc),
+ stop=datetime(2013 + (nr + 1) // 2, 5 if nr % 2 == 1 else 11,
+ 30 if nr % 2 == 0 else 31, 0, 0,
+ 0, 0, tzinfo=timezone.utc))
+
+ models.CycleQuota.objects.bulk_create([models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time"),
+ value=0.8 * cycle.duration.total_seconds()),
+ # rough guess. 80% of total time available for observing
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="cep_processing_time"),
+ value=0.8 * cycle.duration.total_seconds()),
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="lta_storage"),
+ value=0), # needs to be filled in by user (SOS)
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="support_time"),
+ value=0), # needs to be filled in by user (SOS)
+
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time_commissioning"),
+ value=0.05 * cycle.duration.total_seconds()),
+ # rough guess. 5% of total time available for observing
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time_prio_a"),
+ value=0), # needs to be filled in by user (SOS)
+ models.CycleQuota(cycle=cycle,
+ resource_type=ResourceType.objects.get(
+ name="observing_time_prio_b"),
+ value=0) # needs to be filled in by user (SOS)
+ ])
+ cycles_info.append((cycle.name, cycle.start, cycle.stop))
+
+ logger.info('\n')
+ for ci in cycles_info:
+ logger.info('%s\t\tStart: %s\t\tStop: %s' % ci)
+ logger.info('\n')
+
def populate_projects(apps, schema_editor):
from lofar.sas.tmss.test.tmss_test_data_django_models import SchedulingSet_test_data
--
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