o
    h                      @   s   d Z ddlZddlZddlZddlmZ ddlmZ ddlmZ ddlmZ ddlm	Z	 ddlm
Z
 dd	lmZ dd
lmZ ddlmZmZmZmZ ddlmZ ddlmZ ddlmZ edZdZdd Zdd Zdd Zdd Z e!dkr|e   dS dS )a  
Runs a pipeline end-to-end, reports conll scores.

For example, you can do
  python3 stanza/utils/training/run_ete.py it_isdt --score_test
You can run on all models at once:
  python3 stanza/utils/training/run_ete.py ud_all --score_test

You can also run one model on a different model's data:
  python3 stanza/utils/training/run_ete.py it_isdt --score_dev --test_data it_vit
  python3 stanza/utils/training/run_ete.py it_isdt --score_test --test_data it_vit

Running multiple models with a --test_data flag will run them all on the same data:
  python3 stanza/utils/training/run_ete.py it_combined it_isdt it_vit --score_test --test_data it_vit

If run with no dataset arguments, then the dataset used is the train
data, which may or may not be useful.
    N)identity_lemmatizer)
lemmatizer)mwt_expanderparser)tagger)	tokenizer)treebank_to_short_name)common)Modebuild_pos_charlm_argsbuild_lemma_charlm_argsbuild_depparse_charlm_args)check_lemmas)	check_mwt)wordvec_argsstanzazEnd to end results forc                 C   s    | j dd tdd t|  d S )Nz--test_datazCWhich data to test on, if not using the default data for this model)defaulttypehelp)add_argumentstrr
   add_charlm_argsr    r   X/var/www/html/env_mimamsha/lib/python3.10/site-packages/stanza/utils/training/run_ete.pyadd_args,   s   r   c           !      C   s>  | dd\}}| d }| d }| d }	| d }
| d }|r'|jr't|j}n|}d}| d	| d
| d}|
 d	| d
| d}dd||d|d|d|g
}|| }td td| t| | d	| d}td t|r|
 d	| d
| d}d|d|d|d|ddg
}|| }td| t	| ntd |}td |
 d	| d
| d}d|d|d|d|d|dddg}t
|||j}|t||| | | }td| t| td  |	 d	| d}|
 d	| d
| d!}d|d|d|ddg}t|r%t|||j}|| | }td"| t| n|| }td# td$| t| td% |
 d	| d
| d&}d|d|d|d|d|ddg}t|||j}|t||| | | }td'| t| td( | d	| d
| d)}|}t||} td*t||||  d S )+N_   TOKENIZE_DATA_DIRMWT_DATA_DIRLEMMA_DATA_DIRETE_DATA_DIRWORDVEC_DIRz
--txt_file/.z.txtz.tokenizer.conlluz--modepredictz--langz--conll_filez--shorthandz-----  TOKENIZER  ----------z$Running tokenizer step with args: {}z.train.in.conlluz-----  MWT        ----------z.mwt.conlluz--eval_filez--output_filezRunning mwt step with args: {}z"No MWT in training data.  Skippingz-----  POS        ----------z.pos.conlluz--wordvec_dirz--no_gold_labelszRunning pos step with args: {}z-----  LEMMA      ----------z.lemma.conlluz%Running lemmatizer step with args: {}zNo lemmas in training dataz.Running identity lemmatizer step with args: {}z-----  DEPPARSE   ----------z.depparse.conlluz#Running depparse step with args: {}z-----  EVALUATION ----------z.gold.conlluz{} {} models on {} {} data:
{})split	test_datar	   loggerinfoformatr   mainr   r   r   charlmr   r   r   r   r   r   r   r   r
   run_eval_scriptRESULTS_STRING)!pathsdataset
short_namecommand_args
extra_argsshort_languagepackagetokenize_dirmwt_dir	lemma_direte_dirwordvec_dirtest_short_nametokenizer_typetokenizer_filetokenizer_outputtokenizer_argsmwt_train_file
mwt_outputmwt_args
pos_outputpos_argspos_charlm_argslemma_train_filelemma_output
lemma_argslemma_charlm_argsdepparse_outputdepparse_argsdepparse_charlm_args	gold_fileete_fileresultsr   r   r   run_ete0   s   













rP   c           	      C   s   | t jkrd}n| t jkrd}n| t jkrd}|jrAt }t|}||d< t||||| W d    d S 1 s:w   Y  d S t	j
|d dd t||||| d S )Ntraindevtestr!   T)exist_ok)r   TRAIN	SCORE_DEV
SCORE_TESTtemp_outputtempfileTemporaryDirectorydictrP   osmakedirs)	moder/   treebankr1   temp_output_filer2   r3   r0   r9   r   r   r   run_treebank   s   



"ra   c                   C   s   t tddt d S )Nete)r
   r+   ra   r   r   r   r   r   r+      s   r+   __main__)"__doc__loggingr\   rY   stanza.modelsr   r   r   r   r   r   stanza.models.common.constantr	   stanza.utils.trainingr
   stanza.utils.training.commonr   r   r   r   stanza.utils.training.run_lemmar   stanza.utils.training.run_mwtr   stanza.utils.training.run_posr   	getLoggerr(   r.   r   rP   ra   r+   __name__r   r   r   r   <module>   s2    
{
