Do you have notebook version for RATSQL ? about rat-sql

[alan-ai-learner]

https://github.com/DevanshChoubey/rat-sql/blob/master/RatSql.ipynb
try this and let me know if you run it successfully

[unknowed-ER]

@alan-ai-learner
I follow this ，but when I run python run.py preprocess experiments/spider-bert-run.jsonnet ，I can’t connection to CoreNLP like this

WARNING <class 'ratsql.models.enc_dec.EncDecModel.Preproc'>: superfluous {'name': 'EncDec'}

DB connections: 100%|██████████████████████████████████████████████████████████████████| 166/166 [00:00<00:00, 396.42it/s]
train section: 0%| | 0/8659 [00:00<?, ?it/s]
WARNING: CoreNLP connection timeout. Recreating the server...
train section: 0%| | 0/8659 [00:30<?, ?it/s]
Traceback (most recent call last):
File "/home/fsx/model/rat-sql/ratsql/resources/corenlp.py", line 28, in annotate
result = self.client.annotate(text, annotators, output_format, properties)
File "/home/fsx/anaconda3/envs/torch1.6/lib/python3.7/site-packages/corenlp/client.py", line 225, in annotate
r = self._request(text.encode('utf-8'), properties)
File "/home/fsx/anaconda3/envs/torch1.6/lib/python3.7/site-packages/corenlp/client.py", line 178, in _request
self.ensure_alive()
File "/home/fsx/anaconda3/envs/torch1.6/lib/python3.7/site-packages/corenlp/client.py", line 119, in ensure_alive
raise PermanentlyFailedException("Timed out waiting for service to come alive.")
corenlp.client.PermanentlyFailedException: Timed out waiting for service to come alive.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "run.py", line 108, in
main()
File "run.py", line 73, in main
preprocess.main(preprocess_config)
File "/home/fsx/model/rat-sql/ratsql/commands/preprocess.py", line 53, in main
preprocessor.preprocess()
File "/home/fsx/model/rat-sql/ratsql/commands/preprocess.py", line 32, in preprocess
to_add, validation_info = self.model_preproc.validate_item(item, section)
File "/home/fsx/model/rat-sql/ratsql/models/enc_dec.py", line 36, in validate_item
enc_result, enc_info = self.enc_preproc.validate_item(item, section)
File "/home/fsx/model/rat-sql/ratsql/models/spider/spider_enc.py", line 719, in validate_item
preproc_schema = self._preprocess_schema(item.schema)
File "/home/fsx/model/rat-sql/ratsql/models/spider/spider_enc.py", line 734, in _preprocess_schema
self.fix_issue_16_primary_keys, bert=True)
File "/home/fsx/model/rat-sql/ratsql/models/spider/spider_enc.py", line 78, in preprocess_schema_uncached
r.normalized_column_names.append(Bertokens(col_toks))
File "/home/fsx/model/rat-sql/ratsql/models/spider/spider_enc.py", line 552, in init
self.normalize_toks()
File "/home/fsx/model/rat-sql/ratsql/models/spider/spider_enc.py", line 603, in normalize_toks
ann = corenlp.annotate(tok, annotators=['tokenize', 'ssplit', 'lemma'])
File "/home/fsx/model/rat-sql/ratsql/resources/corenlp.py", line 46, in annotate
return _singleton.annotate(text, annotators, output_format, properties)
File "/home/fsx/model/rat-sql/ratsql/resources/corenlp.py", line 34, in annotate
result = self.client.annotate(text, annotators, output_format, properties)
File "/home/fsx/anaconda3/envs/torch1.6/lib/python3.7/site-packages/corenlp/client.py", line 225, in annotate
r = self._request(text.encode('utf-8'), properties)
File "/home/fsx/anaconda3/envs/torch1.6/lib/python3.7/site-packages/corenlp/client.py", line 178, in _request
self.ensure_alive()
File "/home/fsx/anaconda3/envs/torch1.6/lib/python3.7/site-packages/corenlp/client.py", line 119, in ensure_alive
raise PermanentlyFailedException("Timed out waiting for service to come alive.")
corenlp.client.PermanentlyFailedException: Timed out waiting for service to come alive.

Could you kown how to fix it？my java version is openjdk 1.8.0

[alan-ai-learner]

hey @unknowed-ER , I haven't use this now, due to some bugs, try smbop, which is great for text2sql task, with better implementations.

[unknowed-ER]

@alan-ai-learner ,thanks for your response , i'll try smbop .

[alan-ai-learner]

@alan-ai-learner ,thanks for your response , i'll try smbop .

👍