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I am trying to run fine_tuning for a new plant. But during the conversion of the gff3 output by HelixerPost to Helixer's training data format I got this error:
Traceback (most recent call last):
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 1910, in _execute_context
self.dialect.do_execute(
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/engine/default.py", line 736, in do_execute
cursor.execute(statement, parameters)
sqlite3.DataError: string or blob too big
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/mnt/data/arslan/tool/GeenuFF/import2geenuff.py", line 120, in <module>
main(args)
File "/mnt/data/arslan/tool/GeenuFF/import2geenuff.py", line 93, in main
controller.add_genome(paths.fasta_in, paths.gff_in, genome_args)
File "/mnt/data/arslan/tool/GeenuFF/geenuff/applications/importer.py", line 875, in add_genome
self.add_sequences(fasta_path, genome_args)
File "/mnt/data/arslan/tool/GeenuFF/geenuff/applications/importer.py", line 894, in add_sequences
self.session.commit()
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 1454, in commit
self._transaction.commit(_to_root=self.future)
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 832, in commit
self._prepare_impl()
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 811, in _prepare_impl
self.session.flush()
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 3449, in flush
self._flush(objects)
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 3588, in _flush
with util.safe_reraise():
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/util/langhelpers.py", line 70, in __exit__
compat.raise_(
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/util/compat.py", line 211, in raise_
raise exception
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/session.py", line 3549, in _flush
flush_context.execute()
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/unitofwork.py", line 456, in execute
rec.execute(self)
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/unitofwork.py", line 630, in execute
util.preloaded.orm_persistence.save_obj(
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/persistence.py", line 245, in save_obj
_emit_insert_statements(
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/orm/persistence.py", line 1238, in _emit_insert_statements
result = connection._execute_20(
^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 1710, in _execute_20
return meth(self, args_10style, kwargs_10style, execution_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/sql/elements.py", line 334, in _execute_on_connection
return connection._execute_clauseelement(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 1577, in _execute_clauseelement
ret = self._execute_context(
^^^^^^^^^^^^^^^^^^^^^^
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 1953, in _execute_context
self._handle_dbapi_exception(
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 2134, in _handle_dbapi_exception
util.raise_(
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/util/compat.py", line 211, in raise_
raise exception
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 1910, in _execute_context
self.dialect.do_execute(
File "/mnt/data/arslan/tool/miniconda3/lib/python3.11/site-packages/sqlalchemy/engine/default.py", line 736, in do_execute
cursor.execute(statement, parameters)
sqlalchemy.exc.DataError: (sqlite3.DataError) string or blob too big
[SQL: INSERT INTO coordinate (sequence, length, seqid, sha1, genome_id) VALUES (?, ?, ?, ?, ?)]
[parameters: ('CCCACTTGCAACCAAACACGGGCACTTGAAAGCATGAGTAATCCAATTCCCAAATACGTTCAATGACCCCAAAATATGACAATTTGGAAAATGCGGGATTTCTATTTTTGGAACTTGAGATATGCACAGATTCAGCTACGAGTGTGACA ... (1853204065 characters truncated) ... CCAAGGCACTAGATGAATTGGAAATATCAAGAATATTCATGTGAAAATCATGAATACACTCATCACCCTTCATCCCGAGATTCCCAAATTTGGTGGTGAGAATTTGAAGTCTTGACATTTTTAATTTTGATTTCCCTTCATGAGTGGTT', 1853204363, 'chr1L', '55cf8a4f2868b7127b10c94200d1c8e29516f0db', 1)]
(Background on this error at: https://sqlalche.me/e/14/9h9h)
@arslan9732 As a work around and only for the sake of fine tuning, you could split or truncate any chromosomes longer than the above numbers, but run the final inference (once you have the tuned model) on the original full-length sequences.
I am trying to run fine_tuning for a new plant. But during the conversion of the gff3 output by HelixerPost to Helixer's training data format I got this error:
Here is the command that I used:
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