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Redmine #1835: moved command functions into class

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This commit is contained in:
Cyprian Laskowski 2021-03-18 13:48:14 +01:00
parent 59dd78f9b2
commit 753cfad794
2 changed files with 90 additions and 73 deletions
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83
package/structure_assignment/pipeline.py
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@ -8,7 +8,7 @@ import obeliks
import classla import classla
from classla import Document from classla import Document
#from classla.models.common.conll import CoNLLFile from classla.utils.conll import CoNLL
from structure_assignment.constants import * from structure_assignment.constants import *
from structure_assignment.tweak_conllu import tweak as tweak_conllu from structure_assignment.tweak_conllu import tweak as tweak_conllu
@ -21,9 +21,86 @@ from nova_slovnica.tei_to_dictionary import convert as tei_to_dictionary
from nova_slovnica.create_structures import create as create_structures from nova_slovnica.create_structures import create as create_structures
from structure_assignment.merge_dictionaries import merge as merge_dictionaries from structure_assignment.merge_dictionaries import merge as merge_dictionaries
def create_nlp(resource_directory): class Runner:
def __init__(self, resource_directory, nlp_needed):
self.resource_directory = resource_directory
if (nlp_needed):
NLP_CONFIG_MAP['dir'] = resource_directory + '/classla' NLP_CONFIG_MAP['dir'] = resource_directory + '/classla'
return classla.Pipeline('sl', **NLP_CONFIG_MAP) self.nlp = classla.Pipeline('sl', **NLP_CONFIG_MAP)
def run_all(input_file_name, output_file_name, structure_file_name):
pipeline = Pipeline(self.resource_directory, self.nlp)
pipeline.import_file(input_file_name, 'strings-list')
self._strings_to_parse_sequence(pipeline)
self._parse_to_dictionary_sequence(pipeline)
pipeline.export_file(output_file_name, 'dictionary')
pipeline.export_file(structure_file_name, 'structures-new')
self._validate_structures(structure_file_name)
self._validate_dictionary(output_file_name)
pipeline.cleanup()
def strings_to_dictionary(input_file_name, output_file_name, structure_file_name):
pipeline = Pipeline(self.resource_directory, self.nlp)
pipeline.import_file(input_file_name, 'strings-list')
self._strings_to_parse_sequence(pipeline)
self._parse_to_dictionary_sequence(pipeline)
pipeline.export_file(output_file_name, 'dictionary')
pipeline.export_file(structure_file_name, 'structures-new')
pipeline.cleanup()
def strings_to_parse(self, input_file_name, output_file_name):
pipeline = Pipeline(self.resource_directory, self.nlp)
pipeline.import_file(input_file_name, 'strings-list')
self._strings_to_parse_sequence(pipeline)
pipeline.export_file(output_file_name, 'tei-initial')
pipeline.cleanup()
def parse_to_dictionary(self, input_file_name, output_file_name, structure_file_name):
pipeline = Pipeline(self.resource_directory)
pipeline.import_file(input_file_name, 'tei-initial')
self._parse_to_dictionary_sequence(pipeline)
pipeline.export_file(output_file_name, 'dictionary')
pipeline.export_file(structure_file_name, 'structures-new')
pipeline.cleanup()
def validate_structures(self, input_file_name):
pipeline = Pipeline(self.resource_directory)
pipeline.import_file(input_file_name, 'structures-new')
self._validate_structures_sequence(pipeline)
pipeline.cleanup()
def validate_dictionary(self, input_file_name):
pipeline = Pipeline(self.resource_directory)
pipeline.import_file(input_file_name, 'dictionary')
self._validate_dictionary_sequence(pipeline)
pipeline.cleanup()
def _strings_to_parse_sequence(self, pipeline):
pipeline.do_tokenise()
pipeline.do_tweak_conllu()
pipeline.do_parse()
pipeline.do_translate_jos()
pipeline.do_conllu_to_tei()
def _parse_to_dictionary_sequence(self, pipeline):
pipeline.do_split_tei()
pipeline.do_assign_single()
pipeline.do_tei_to_dictionary_single()
pipeline.do_find_structure_units_first()
pipeline.do_assign_multiple_first()
pipeline.do_create_structures()
pipeline.do_find_structure_units_second()
pipeline.do_assign_multiple_second()
pipeline.do_tei_to_dictionary_multiple()
pipeline.do_merge_dictionaries()
def _validate_structures_sequence(self, pipeline):
pipeline.do_validate_structures()
def _validate_dictionary_sequence(self, pipeline):
pipeline.do_validate_dictionary()
class Pipeline: class Pipeline:

78
scripts/process.py
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@ -1,69 +1,9 @@
import argparse import argparse
import tempfile
import shutil
from structure_assignment.pipeline import Pipeline, create_nlp from structure_assignment.pipeline import Runner
resource_directory = '../resources' resource_directory = '../resources'
def run_all(input_file_name, output_file_name, nlp, structure_file_name):
tmp_directory = tempfile.mkdtemp()
tmp_file_name = tmp_directory + '/parsed.xml'
strings_to_parse(input_file_name, tmp_file_name, nlp)
parse_to_dictionary(tmp_file_name, output_file_name, structure_file_name)
shutil.rmtree(tmp_directory)
validate_structures(structure_file_name)
validate_dictionary(output_file_name)
def strings_to_dictionary(input_file_name, output_file_name, nlp, structure_file_name):
tmp_directory = tempfile.mkdtemp()
tmp_file_name = tmp_directory + '/parsed.xml'
strings_to_parse(input_file_name, tmp_file_name, nlp)
parse_to_dictionary(tmp_file_name, output_file_name, structure_file_name)
shutil.rmtree(tmp_directory)
def strings_to_parse(input_file_name, output_file_name, nlp):
pipeline = Pipeline(resource_directory, nlp)
pipeline.import_file(input_file_name, 'strings-list')
pipeline.do_tokenise()
pipeline.do_tweak_conllu()
pipeline.export_file(output_file_name, 'obeliks-tweaked')
# pipeline.do_parse()
# pipeline.do_translate_jos()
# pipeline.do_conllu_to_tei()
# pipeline.export_file(output_file_name, 'tei-initial')
pipeline.cleanup()
def parse_to_dictionary(input_file_name, output_file_name, structure_file_name):
pipeline = Pipeline(resource_directory)
pipeline.import_file(input_file_name, 'tei-initial')
pipeline.do_split_tei()
pipeline.do_assign_single()
pipeline.do_tei_to_dictionary_single()
pipeline.do_find_structure_units_first()
pipeline.do_assign_multiple_first()
pipeline.do_create_structures()
pipeline.do_find_structure_units_second()
pipeline.do_assign_multiple_second()
pipeline.do_tei_to_dictionary_multiple()
pipeline.do_merge_dictionaries()
pipeline.export_file(output_file_name, 'dictionary')
pipeline.export_file(structure_file_name, 'structures-new')
pipeline.cleanup()
def validate_structures(input_file_name):
pipeline = Pipeline(resource_directory)
pipeline.import_file(input_file_name, 'structures-new')
pipeline.do_validate_structures()
pipeline.cleanup()
def validate_dictionary(input_file_name):
pipeline = Pipeline(resource_directory)
pipeline.import_file(input_file_name, 'dictionary')
pipeline.do_validate_dictionary()
pipeline.cleanup()
if (__name__ == '__main__'): if (__name__ == '__main__'):
arg_parser = argparse.ArgumentParser(description='Run part or all of structure pipeline.') arg_parser = argparse.ArgumentParser(description='Run part or all of structure pipeline.')
@ -78,17 +18,17 @@ if (__name__ == '__main__'):
output_file_name = arguments.outfile output_file_name = arguments.outfile
structure_file_name = arguments.structures structure_file_name = arguments.structures
nlp_needed = part_name in {'strings_to_parse', 'strings_to_dictionary', 'all'}
runner = Runner(resource_directory, nlp_needed)
if (part_name == 'strings_to_parse'): if (part_name == 'strings_to_parse'):
nlp = create_nlp(resource_directory) runner.strings_to_parse(input_file_name, output_file_name)
strings_to_parse(input_file_name, output_file_name, nlp)
elif (part_name == 'strings_to_dictionary'): elif (part_name == 'strings_to_dictionary'):
nlp = create_nlp(resource_directory) runner.strings_to_dictionary(input_file_name, output_file_name, structure_file_name)
strings_to_dictionary(input_file_name, output_file_name, nlp, structure_file_name)
elif (part_name == 'parse_to_dictionary'): elif (part_name == 'parse_to_dictionary'):
parse_to_dictionary(input_file_name, output_file_name, structure_file_name) runner.parse_to_dictionary(input_file_name, output_file_name, structure_file_name)
elif (part_name == 'validate_structures'): elif (part_name == 'validate_structures'):
validate_structures(input_file_name) runner.validate_structures(input_file_name)
elif (part_name == 'validate_dictionary'): elif (part_name == 'validate_dictionary'):
validate_dictionary(input_file_name) runner.validate_dictionary(input_file_name)
elif (part_name == 'all'): elif (part_name == 'all'):
run_all(input_file_name, output_file_name, nlp, structure_file_name) runner.run_all(input_file_name, output_file_name, nlp, structure_file_name)