<s> import logging <EOL> from concurrent . futures import ProcessPoolExecutor , ThreadPoolExecutor <EOL> from multiprocessing import cpu_count <EOL> from more_itertools import chunked <EOL> from . import dependencies <EOL> from . datasources import Datasource <EOL> logger = logging . getLogger ( __name__ ) <EOL> class ScoreProcessor : <EOL> IO_WORKER_MULTIPLIER = <NUM_LIT> <EOL> MIN_IO_WORKERS = <NUM_LIT:2> <EOL> MAX_IO_WORKERS = <NUM_LIT:10> <EOL> def __init__ ( self , scorer_model , extractor , cpu_workers = None , <EOL> io_workers = None , batch_size = <NUM_LIT:50> ) : <EOL> self . scorer_model = scorer_model <EOL> self . extractor = extractor <EOL> self . cpu_workers = int ( cpu_workers ) if cpu_workers is not None else cpu_count ( ) <EOL> self . batch_size = int ( batch_size ) <EOL> if io_workers is not None : <EOL> self . io_workers = int ( io_workers ) <EOL> else : <EOL> self . io_workers = max ( self . MIN_IO_WORKERS , <EOL> min ( self . MAX_IO_WORKERS , <EOL> int ( self . cpu_workers * <EOL> self . IO_WORKER_MULTIPLIER ) ) ) <EOL> logger . info ( "<STR_LIT>" <EOL> . format ( self . io_workers ) ) <EOL> self . scores_ex = ThreadPoolExecutor ( max_workers = self . io_workers ) <EOL> logger . info ( "<STR_LIT>" <EOL> . format ( self . cpu_workers ) ) <EOL> self . process_ex = ProcessPoolExecutor ( max_workers = self . cpu_workers ) <EOL> roots = dependencies . dig ( self . scorer_model . features ) <EOL> self . root_datasources = [ d for d in roots if isinstance ( d , Datasource ) ] <EOL> def __enter__ ( self ) : <EOL> return self <EOL> def __exit__ ( self ) : <EOL> self . scores_executor . shutdown ( ) <EOL> self . process_executor . shutdown ( ) <EOL> def score ( self , rev_ids , caches = None , cache = None ) : <EOL> if isinstance ( rev_ids , int ) : <EOL> rev_ids = [ rev_ids ] <EOL> batches = batch_rev_caches ( chunked ( rev_ids , self . batch_size ) , caches , <EOL> cache ) <EOL> for batch_scores in self . scores_ex . map ( self . _score_batch , batches ) : <EOL> for score in batch_scores : <EOL> yield score <EOL> def _score_batch ( self , batch_rev_cache ) : <EOL> id_batch , caches , cache = batch_rev_cache <EOL> logger . debug ( "<STR_LIT>" <EOL> . format ( len ( id_batch ) ) ) <EOL> error_values = self . extractor . extract ( <EOL> id_batch , self . root_datasources , caches = caches , cache = cache ) <EOL> e_r_caches = self . _group_error_root_caches ( <EOL> id_batch , error_values , caches , cache ) <EOL> rev_scores = self . process_ex . map ( self . _process_score , e_r_caches ) <EOL> return list ( rev_scores ) <EOL> def _group_error_root_caches ( self , id_batch , error_values , caches , cache ) : <EOL> for rev_id , ( error , vals ) in zip ( id_batch , error_values ) : <EOL> if error : <EOL> score_cache = { } <EOL> scorer_model = None <EOL> extractor = None <EOL> else : <EOL> score_cache = { } <EOL> score_cache . update ( cache or { } ) <EOL> score_cache . update ( ( caches or { } ) . get ( rev_id , { } ) ) <EOL> score_cache . update ( { rd : rv for rd , rv in <EOL> zip ( self . root_datasources , vals ) } ) <EOL> scorer_model = self . scorer_model <EOL> extractor = self . extractor <EOL> yield ( rev_id , scorer_model , extractor , score_cache , error ) <EOL> @ classmethod <EOL> def _process_score ( cls , e_r_caches ) : <EOL> rev_id , scorer_model , extractor , cache , error = e_r_caches <EOL> logger . debug ( "<STR_LIT>" . format ( rev_id ) ) <EOL> if error is None : <EOL> try : <EOL> feature_values = list ( extractor . solve ( <EOL> scorer_model . features , cache = cache ) ) <EOL> except Exception as error : <EOL> logger . debug ( "<STR_LIT>" ) <EOL> raise error <EOL> return rev_id , error_score ( error ) <EOL> try : <EOL> score = scorer_model . score ( feature_values ) <EOL> return rev_id , score <EOL> except Exception as error : <EOL> logger . debug ( "<STR_LIT>" ) <EOL> return rev_id , error_score ( error ) <EOL> else : <EOL> return rev_id , error_score ( error ) <EOL> def error_score ( error ) : <EOL> error_type = error . __class__ . __name__ <EOL> message = str ( error ) <EOL> return { '<STR_LIT:type>' : error_type , '<STR_LIT:message>' : message } <EOL> def sub_dict ( d , keys ) : <EOL> if d is None : <EOL> return None <EOL> else : <EOL> return { k : d [ k ] for k in keys if k in d } <EOL> def batch_rev_caches ( batches , caches , cache ) : <EOL> for batch in batches : <EOL> batch = list ( batch ) <EOL> yield ( batch , sub_dict ( caches , batch ) , cache ) </s>
