def one_time_merge_level(level, user=None):
api_call = "https://www.wanikani.com/api/user/{}/vocabulary/{}".format(
constants.API_KEY, level)
response = make_api_call(api_call)
vocab_list = response['requested_information']
print("Vocab found:{}".format(len(vocab_list)))
for vocabulary_json in vocab_list:
print("**************************************************************")
print("Analyzing vocab with kanji:[{}]\tCanonical meaning is:[{}]".
format(vocabulary_json['character'], vocabulary_json['meaning']))
found_vocabulary = Vocabulary.objects.filter(
readings__character=vocabulary_json['character'])
print("found [{}] vocabulary on the server with kanji [{}]".format(
found_vocabulary.count(), vocabulary_json['character']))
if found_vocabulary.count(
) == 1 and found_vocabulary[0].meaning == vocabulary_json['meaning']:
print(
"No conflict found. Precisely 1 vocab on server, and meaning matches."
)
elif found_vocabulary.count() > 1:
print(
"Conflict found. Precisely [{}] vocab on server for meaning [{}]."
.format(found_vocabulary.count(), vocabulary_json['meaning']))
handle_merger(vocabulary_json, found_vocabulary)
elif found_vocabulary.count() == 0:
create_new_vocabulary(vocabulary_json)
else:
print("No conflict, but meaning has changed. Changing meaning!")
to_be_edited = found_vocabulary[0]
to_be_edited.meaning = vocabulary_json['meaning']
to_be_edited.save()
def handle_merger(vocabulary_json, found_vocabulary):
ids_to_delete = found_vocabulary.values_list('id', flat=True)
ids_to_delete_list = list(ids_to_delete)
vocabulary = create_new_vocabulary(vocabulary_json)
create_new_review_and_merge_existing(vocabulary, found_vocabulary)
Vocabulary.objects.filter(pk__in=ids_to_delete_list).exclude(
id=vocabulary.id).delete()
def handle_merger(vocabulary_json, found_vocabulary):
ids_to_delete = found_vocabulary.values_list("id", flat=True)
ids_to_delete_list = list(ids_to_delete)
vocabulary = create_new_vocabulary(vocabulary_json)
create_new_review_and_merge_existing(vocabulary, found_vocabulary)
Vocabulary.objects.filter(pk__in=ids_to_delete_list).exclude(
id=vocabulary.id
).delete()
def one_time_merge_level(level, user=None):
api_call = "https://www.wanikani.com/api/user/{}/vocabulary/{}".format(
constants.API_KEY, level
)
response = make_api_call(api_call)
vocab_list = response["requested_information"]
print("Vocab found:{}".format(len(vocab_list)))
for vocabulary_json in vocab_list:
print("**************************************************************")
print(
"Analyzing vocab with kanji:[{}]\tCanonical meaning is:[{}]".format(
vocabulary_json["character"], vocabulary_json["meaning"]
)
)
found_vocabulary = Vocabulary.objects.filter(
readings__character=vocabulary_json["character"]
)
print(
"found [{}] vocabulary on the server with kanji [{}]".format(
found_vocabulary.count(), vocabulary_json["character"]
)
)
if (
found_vocabulary.count() == 1
and found_vocabulary[0].meaning == vocabulary_json["meaning"]
):
print(
"No conflict found. Precisely 1 vocab on server, and meaning matches."
)
elif found_vocabulary.count() > 1:
print(
"Conflict found. Precisely [{}] vocab on server for meaning [{}].".format(
found_vocabulary.count(), vocabulary_json["meaning"]
)
)
handle_merger(vocabulary_json, found_vocabulary)
elif found_vocabulary.count() == 0:
create_new_vocabulary(vocabulary_json)
else:
print("No conflict, but meaning has changed. Changing meaning!")
to_be_edited = found_vocabulary[0]
to_be_edited.meaning = vocabulary_json["meaning"]
to_be_edited.save()
def test_create_new_vocab_based_on_json_works(self):
vocab = create_new_vocabulary(single_vocab_requested_information)
self.assertIsInstance(vocab, Vocabulary)
def test_create_new_vocab_based_on_json_works(self):
vocab = create_new_vocabulary(single_vocab_requested_information)
self.assertIsInstance(vocab, Vocabulary)