o
    h!                     @   s
  d Z ddlZddlZddlZddlZddlZddlZddlmZ ddl	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	d
Zd&ddZdd Zd&ddZd'ddZ		d(ddZd'ddZdd Zdd Zdd  Zd!d" Zd&d#d$Ze d%kre  dS dS ))a  
Script for producing training/dev/test data from UD data or sentences

Example output data format (one example per line):

{"text": "Hello world.", "label": "en"}

This is an attempt to recreate data pre-processing in https://github.com/AU-DIS/LSTM_langid

Specifically borrows methods from https://github.com/AU-DIS/LSTM_langid/blob/main/src/dataset_creator.py

Data format is same as LSTM_langid as well.
    N)Path)randintrandomshuffle)digits)tqdm)treebank_to_langidstanzazaf,ar,be,bg,bxr,ca,cop,cs,cu,da,de,el,en,es,et,eu,fa,fi,fr,fro,ga,gd,gl,got,grc,he,hi,hr,hsb,hu,hy,id,it,ja,kk,kmr,ko,la,lt,lv,lzh,mr,mt,nl,nn,no,olo,orv,pl,pt,ro,ru,sk,sl,sme,sr,sv,swl,ta,te,tr,ug,uk,ur,vi,wo,zh-hans,zh-hant,c                 C   s   t  }|jddddgdd |jddtdd	 |jd
dtd |jddtdd	 |jddtdd	 |jddd |jdddd |jddtdd	 |j| d} | S )Nz--data-formatzinput data formatudone-per-line)helpchoicesdefaultz--eval-lengthzlength of eval strings
   )r   typer   z--languagesz"list of languages to use, or "all")r   r   z--min-windowzminimal training example lengthz--max-windowzmaximum training example length2   z	--ud-pathzpath to ud data)r   z--save-pathzpath to save data.z--splitsz,size of train/dev/test splits in percentagesz0.8,0.1,0.1args)argparseArgumentParseradd_argumentintDEFAULT_LANGUAGESsplits_from_list
parse_args)r   parser r   ^/var/www/html/env_mimamsha/lib/python3.10/site-packages/stanza/models/langid/create_ud_data.pyr   !   s   
r   c                 C   s   dd |  dD S )Nc                 S   s   g | ]}t |qS r   )float.0xr   r   r   
<listcomp>1       z$splits_from_list.<locals>.<listcomp>r
   )split)
value_listr   r   r   r   0   s   r   c           	   
      s   t  d t jtr jd _ fdddD }t j j jd}t	dd
 j  t|D ]E}t|||  j j j j jd}t||D ]+\}}t|d	}|D ]}tj||d
d |d qZW d    n1 stw   Y  qNq5d S )Nr   r
   c                    s   g | ]} j  d | dqS )/z.jsonl)	save_path)r"   
data_splitr   r   r   r$   8   s    zmain.<locals>.<listcomp>)traindevtestdata_formatz Building UD data for languages: )splits
min_window
max_windoweval_lengthr/   aF)ensure_ascii
)r   
isinstance	languagesstrr&   collect_filesud_pathr/   loggerinfojoinr   generate_examplesr0   r1   r2   r3   zipopenjsondumpwrite)	r   
data_pathslang_to_fileslang_idlang_examplesdata_setr)   	json_file
json_entryr   r   r   main4   s*   
rL   r   c                 C   s   ddd}t | || }i }|D ]-}|dkrt|jj}n|jdd }||vr0d|vr0q||vr8g ||< || | q|S )a   
    Given path to UD, collect files
    If data_format = "ud", expects files to be of form *.conllu
    If data_format = "one-per-line", expects files to be of form "*.sentences.txt"
    In all cases, the UD path should be a directory with subdirectories for each language
    z
*/*.conlluz*/*sentences.txt)r   r   r   _r   all)r   globr   parentnamer&   append)r;   r8   r/   data_format_to_search_pathud_filesrF   ud_filerG   r   r   r   r:   F   s   
r:   g?皙?rW   r   r   c                    s   g }|D ]}t ||d}	|	D ]}
t|
}
t|
|r"|t|
||d7 }qqt| t|d t| }fdd|d| D }t|d t| | } fdd||| D } fd	d||d D }|||fS )
z?
    Generate train/dev/test examples for a given language
    r.   )r1   r2   r   c                    s   g | ]}t  |qS r   example_jsonr"   example)rG   r   r   r$   k   s    z%generate_examples.<locals>.<listcomp>N   c                       g | ]	}t | d qS )r3   rX   rZ   r3   rG   r   r   r$   m       c                    r]   r^   rX   rZ   r_   r   r   r$   n   r`   )sentences_from_fileclean_sentencevalidate_sentencesentence_to_windowsr   r   len)rG   list_of_filesr0   r1   r2   r3   r/   examplesrU   	sentencessentence	train_idx	train_setdev_idxdev_settest_setr   r_   r   r?   ]   s    

r?   c                 C   s   |dkr6t | $}|  }d|v sJ |  ddd |dD }W d   |S 1 s/w   Y  |S |dkr]t | }d	d |  dD }W d   |S 1 sXw   Y  |S )
z/
    Retrieve all sentences from a UD file
    r   	# text = z: does not have expected format, "# text =" does not appearc                 S   s"   g | ]}| d r|dd qS )ro   	   N)
startswithr!   r   r   r   r$   {   s   " z'sentences_from_file.<locals>.<listcomp>r6   Nr   c                 S   s   g | ]}|r|qS r   r   r!   r   r   r   r$   ~   r%   )rA   readstripr&   )ud_file_pathr/   rU   ud_file_contentsrh   r   r   r   ra   r   s$   




ra   c           	      C   s   g }|  d}d}t|D ]<\}}|d| 7 }| }|d t|k r-t||d  d nd}t|| |krIt|}t||rG||  d}qt||krU|| |S )zP
    Create window size chunks from a sentence, always starting with a word
      r\   r   )r&   	enumeratelstripre   rb   rc   rR   rs   )	ri   r1   r2   windowswordscurr_windowidxwordnext_word_lenr   r   r   rd      s    
(

rd   c                 C   s   t | |k rdS dS )z
    Sentence validation from: LSTM-LID
    GitHub: https://github.com/AU-DIS/LSTM_langid/blob/main/src/dataset_creator.py
    FT)re   )current_windowr1   r   r   r   rc      s   rc   c                    s    fddt | D S )z 
    Helper for clean_sentence from LSTM-LID
    GitHub: https://github.com/AU-DIS/LSTM_langid/blob/main/src/dataset_creator.py 
    c                    s   g | ]
\}}| kr|qS r   r   )r"   iltrchr   r   r$      s    zfind.<locals>.<listcomp>)rx   )sr   r   r   r   find   s   r   c           
      C   s.  |  dd} |  dd} |  dd} |  dd} |  dd} |  dd} tddt}| |} |  }g }|D ]W}|}|}|d	d
 drt|d}|D ];}||d	   rt	||d	 kry||d	   rx|d
| d ||d	 d
  }qN|d
| d ||d	 d
  }qN|
| q8d|}	|	S )z} 
    Sentence cleaning from LSTM-LID
    GitHub: https://github.com/AU-DIS/LSTM_langid/blob/main/src/dataset_creator.py
    r6   rw   z- rM   \"z  rv   r\   NIl)replacer9   	maketransr   	translater&   __contains__r   islowerre   rR   r>   )
lineremove_digitsr{   	new_wordsr~   
clean_wordr   indicesindxnew_liner   r   r   rb      s4   

  
rb   c                 C   s"   |d ur
|d | }|  | dS )N)textlabel)rs   )rG   r   r3   r   r   r   rY      s   rY   __main__)N)r   )rV   r   r   r   r   )!__doc__r   rB   loggingosresyspathlibr   r   r   r   stringr   r   stanza.models.common.constantr   	getLoggerr<   r&   r   r   r   rL   r:   r?   ra   rd   rc   r   rb   rY   __name__r   r   r   r   <module>   s<    






	
"
