Open verovaleros opened 3 days ago
The same happens with two other models:
2024-10-26 16:04:46,816 - root - ERROR - Error running Prioritize_Consistent model: date value out of range
Traceback (most recent call last):
File "/home/aip/AIP/bin/aip", line 66, in run_model
blocklist = aip_model.run(day)
^^^^^^^^^^^^^^^^^^
File "/home/aip/AIP/lib/aip/models/prioritize.py", line 176, in run
self.db = Knowledgebase(load_until=for_date - timedelta(days=1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aip/AIP/lib/aip/models/prioritize.py", line 116, in __init__
self._load_knowledge_until(day)
File "/home/aip/AIP/lib/aip/models/prioritize.py", line 106, in _load_knowledge_until
self.build(end=datetime.strptime(day, '%Y-%m-%d').date())
File "/home/aip/AIP/lib/aip/models/prioritize.py", line 133, in build
day = str(end - timedelta(days=days_ago))
~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
OverflowError: date value out of range
2024-10-26 16:04:52,263 - root - ERROR - Error running Random_Forest model: date value out of range
Traceback (most recent call last):
File "/home/aip/AIP/bin/aip", line 66, in run_model
blocklist = aip_model.run(day)
^^^^^^^^^^^^^^^^^^
File "/home/aip/AIP/lib/aip/models/prioritize.py", line 255, in run
training, target = self._get_training_target_set(for_date=for_date)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aip/AIP/lib/aip/models/prioritize.py", line 230, in _get_training_target_set
target = Knowledgebase(load_until=for_date - timedelta(days=1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/aip/AIP/lib/aip/models/prioritize.py", line 116, in __init__
self._load_knowledge_until(day)
File "/home/aip/AIP/lib/aip/models/prioritize.py", line 106, in _load_knowledge_until
self.build(end=datetime.strptime(day, '%Y-%m-%d').date())
File "/home/aip/AIP/lib/aip/models/prioritize.py", line 133, in build
day = str(end - timedelta(days=days_ago))
~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
OverflowError: date value out of range
AIP allows to run models for a specific date, but some models require some history (minimum number of data) to run.