def setUp(self):
self.db = bulkup.Database(connection)
im = importer.Importer()
im.import_partner_sites(self.db)
im.import_pile_groups(
self.db, importer.PlainFile('.', testdata('pile_group_info.csv')))
im.import_piles(self.db,
importer.PlainFile('.', testdata('pile_info.csv')))
im.import_taxa(self.db, importer.PlainFile('.', testdata('taxa.csv')))
im.import_distributions(
importer.PlainFile('.', testdata('dist_north_america.csv')))
def test_import_taxons(self):
im = importer.Importer()
im.import_partner_sites(self.db)
im.import_pile_groups(
self.db, importer.PlainFile('.', testdata('pile_group_info.csv')))
im.import_piles(self.db,
importer.PlainFile('.', testdata('pile_info.csv')))
im.import_wetland_indicators(
self.db, importer.PlainFile('.',
testdata('wetland_indicators.csv')))
im.import_taxa(self.db, importer.PlainFile('.', testdata('taxa.csv')))
self.assertEquals(len(models.Taxon.objects.all()), 3522)
def test_import_characters(self):
im = importer.Importer()
im.import_characters(
self.db, importer.PlainFile('.', testdata('characters.csv')))
f = open(testdata('characters.csv'))
content = f.read()
f.close()
expected = len(content.splitlines()) - min(content.count('_min'),
content.count('_max')) - 1
self.assertEquals(len(models.Character.objects.all()), expected)
def rebuild_default_filters(characters_csv):
"""Rebuild default filters for every pile, using CSV data where
available or choosing 'best' characters otherwise.
"""
from gobotany.core import importer # here to avoid import loop
log.info('Importing default filters from characters.csv')
# Since we do not know whether we have been called directly with
# "-m" or whether we have been called from .importer as part of a
# big full import:
if isinstance(characters_csv, basestring):
characters_csv = importer.PlainFile('.', characters_csv)
log.info(' Clearing the DefaultFilter table')
models.DefaultFilter.objects.all().delete()
# Read in the file and import its data.
db = bulkup.Database(connection)
pile_map = db.map('core_pile', 'name', 'id')
character_map = db.map('core_character', 'short_name', 'id')
piles_seen = set()
table = db.table('core_defaultfilter')
stuff = importer.read_default_filters(characters_csv)
for key_name, pile_name, n, character_slug in stuff:
if pile_name in pile_map.keys():
piles_seen.add(pile_name)
table.get(
key=key_name,
pile_id=pile_map[pile_name],
order=n,
character_id=character_map[character_slug],
)
else:
log.error(' Pile %s not found' % pile_name)
# Make sure all piles were covered, and throw in two filters that
# appear for all piles.
for pile in models.Pile.objects.all():
if pile.name not in piles_seen:
log.error(' No default filters were given for pile %r', pile.name)
table.get(key='simple',
pile_id=pile.id,
order=-2,
character_id=character_map['habitat_general'])
table.get(key='simple',
pile_id=pile.id,
order=-1,
character_id=character_map['state_distribution'])
table.get(key='full',
pile_id=pile.id,
order=-3,
character_id=character_map['habitat_general'])
table.get(key='full',
pile_id=pile.id,
order=-2,
character_id=character_map['habitat'])
table.get(key='full',
pile_id=pile.id,
order=-1,
character_id=character_map['state_distribution'])
# And we are done.
table.save()