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    Si                     @   s   d 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
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 ddlmZmZ ddlmZmZ ddlmZmZ ddlmZmZ dd	lmZmZmZ 	
		ddede	e de	e defddZ	ddede	e deeeee
eef f f fddZdS )az  
About the MobvoiHotwords corpus

    The MobvoiHotwords dataset is a ~144-hour corpus of wake word corpus which is
    publicly availble on https://www.openslr.org/87

    For wake word data, wake word utterances contain either 'Hi xiaowen' or 'Nihao
    Wenwen' are collected. For each wake word, there are about 36k utterances. All
    wake word data is collected from 788 subjects, ages 3-65, with different
    distances from the smart speaker (1, 3 and 5 meters). Different noises
    (typical home environment noises like music and TV) with varying sound
    pressure levels are played in the background during the collection.
    N)Path)DictOptionalUnion)fix_manifests$validate_recordings_and_supervisions)	RecordingRecordingSet)manifests_existread_manifests_if_cached)SupervisionSegmentSupervisionSet)Pathlikeresumable_downloadsafe_extract.F http://www.openslr.org/resources
target_dirforce_downloadbase_urlreturnc              	   C   s   | d}t | } | jddd | d }d}d}||fD ]U}| | }||dd  }	|	d	 }
|
 r?td
| d|
 d qt| d| ||d tj|	dd t	|}t
||d W d   n1 shw   Y  |
  q|S )aS  
    Downdload and untar the dataset

    :param target_dir: Pathlike, the path of the dir to storage the dataset.
    :param force_download: Bool, if True, download the tars no matter if the tars exist.
    :param base_url: str, the url of the OpenSLR resources.
    :return: the path to downloaded and extracted directory with data.
    z/87Tparentsexist_okMobvoiHotwordszmobvoi_hotword_dataset.tgzz$mobvoi_hotword_dataset_resources.tgzNz
.completedzSkip z	 because z exists./)filenamer   )ignore_errors)path)r   mkdiris_filelogginginfor   shutilrmtreetarfileopenr   touch)r   r   r   url
corpus_dirdataset_tar_nameresources_tar_nametar_nametar_pathextracted_dircompleted_detectortar r2   Q/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/recipes/mobvoihotwords.pydownload_mobvoihotwords   s,   

r4   r*   
output_dirc                 C   s0  t | } |  sJ d|  g d}i }|dur*t |}|jddd t||d}|D ]}td|  t||drFtd	| d
 q,g }g }dD ]}|| }| d | d }	t|	dddr}
t	|
}|D ]b}|d }|d du rx|n|d }| d | d }d}|d dkrd}n|d dkrd}n|d dksJ |
 std|  qjt|}|| t||d|jdd|| d}|| qjW d   n1 sw   Y  qLt|}t|}t||\}}t|| |dur||d | d!  ||d"| d!  ||d#||< q,|S )$aH  
    Returns the manifests which consist of the Recordings and Supervisions

    :param corpus_dir: Pathlike, the path of the data dir.
    :param output_dir: Pathlike, the path where to write the manifests.
    :return: a Dict whose key is the dataset part, and the value is Dicts with the keys 'audio' and 'supervisions'.
    zNo such directory: )traindevtestNTr   )dataset_partsr5   z!Preparing MobvoiHotwords subset: )partr5   zMobvoiHotwords subset: z already prepared - skipping.)p_n_ mobvoi_hotword_dataset_resourcesz.jsonrzutf-8)encodingutt_id
speaker_idmobvoi_hotword_datasetz.wavFREETEXT
keyword_idr   	HiXiaowen   NihaoWenwenzNo such file: g        Chinese)idrecording_idstartdurationchannellanguagespeakertextmobvoi_supervisions_z	.jsonl.gzmobvoi_recordings_)
recordingssupervisions)r   is_dirr    r   r"   r#   r
   r'   jsonloadr!   warningr   	from_fileappendr   rM   stripr	   from_recordingsr   from_segmentsr   r   to_file)r*   r5   r9   	manifestsr:   rT   rU   prefixprefixed_part	json_pathf	json_dataentryidxrP   
audio_pathrQ   	recordingsegmentrecording_setsupervision_setr2   r2   r3   prepare_mobvoihotwordsC   s   





 

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rm   )r   Fr   )N)__doc__rW   r"   r$   r&   pathlibr   typingr   r   r   lhotser   r   lhotse.audior   r	   lhotse.recipes.utilsr
   r   lhotse.supervisionr   r   lhotse.utilsr   r   r   boolstrr4   rm   r2   r2   r2   r3   <module>   s@    
'