def obslist(limit_and_offset, **filters):
'''This function retrieves observations list from a local database and
displays it.'''
aos_before_org = filters.get("aos_before")
if aos_before_org is not None:
# Repository uses datetime.datetime structure to bound dates and it is
# exact date.
# User provides datetime.date (which not include hour) and it means that
# list should contain observations from @los_after day 00:00:00 hour to
# @aos_before day 23:59:59.999 hour. For handle it we add 1 day to
# @aos_before day before send to repository.
filters["aos_before"] = aos_before_org + timedelta(days=1)
repository = Repository()
obslist = repository.read_observations(filters, **limit_and_offset)
satellites_list = repository.read_satellites()
observation_count = repository.count_observations(filters)
stations_list = repository.read_stations()
satellites_dict = {
sat["sat_id"]: sat["sat_name"]
for sat in satellites_list
}
stations_dict = {s["station_id"]: s["name"] for s in stations_list}
for obs in obslist:
obs["sat_name"] = satellites_dict[obs["sat_id"]]
obs["station_name"] = stations_dict[obs["station_id"]]
if aos_before_org is not None:
# We send back to user the same date as user provide.
filters["aos_before"] = aos_before_org
# When database will contain many satellites and stations then we need
# refactor this code to lazy, async read satellites and stations.
return 'obslist.html', dict(obslist=obslist,
item_count=observation_count,
satellites=satellites_list,
stations=stations_list,
filters=filters)
# This script generates fly-over charts for observations that have TLE
# information recorded.
from typing import Dict
from app.controllers.receive import make_charts
from app.repository import Repository, Station, StationId
if __name__ == '__main__':
stations: Dict[StationId, Station] = { }
repository = Repository()
observation_count = repository.count_observations()
print("There are a total of %d observations" % observation_count)
STEP = 100
limit = STEP
offset = 0
index = 0
while offset < observation_count:
# ToDo: Add filtration when MR with filtration will be merged.
observations = repository.read_observations(limit=limit, offset=offset)
print("Processing batch of %d observations" % len(observations))
for observation in observations:
if observation['tle'] is None:
print("No TLE info for observation %d, skipping." % observation['obs_id'])
continue
station_id = observation["station_id"]
def test_observations_count(self, repository: Repository):
count = repository.count_observations()
self.assertEqual(count, 4)