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from inference.core.active_learning.entities import ( | |
ActiveLearningConfiguration, | |
BatchReCreationInterval, | |
) | |
from inference.core.active_learning.utils import ( | |
generate_start_timestamp_for_this_month, | |
generate_start_timestamp_for_this_week, | |
generate_today_timestamp, | |
) | |
RECREATION_INTERVAL2TIMESTAMP_GENERATOR = { | |
BatchReCreationInterval.DAILY: generate_today_timestamp, | |
BatchReCreationInterval.WEEKLY: generate_start_timestamp_for_this_week, | |
BatchReCreationInterval.MONTHLY: generate_start_timestamp_for_this_month, | |
} | |
def generate_batch_name(configuration: ActiveLearningConfiguration) -> str: | |
batch_name = configuration.batches_name_prefix | |
if configuration.batch_recreation_interval is BatchReCreationInterval.NEVER: | |
return batch_name | |
timestamp_generator = RECREATION_INTERVAL2TIMESTAMP_GENERATOR[ | |
configuration.batch_recreation_interval | |
] | |
timestamp = timestamp_generator() | |
return f"{batch_name}_{timestamp}" | |