def print_new_words_es(self):
"""TODO decribe what this method does."""
for row in self._parse_src():
words = set([Translator.normalize_word(word) for word in Translator.resolve_word_list(row.original_word)])
if words <= wordlist_es.WORD_COLLECTION_ES: # words is subset from WORD_COLLECTION
print('Removed entry %s (Normalized: %s)' % (row.original_word, ', '.join(words)))
else:
self.print_csv_row(row)
def print_commons_marked(self, diff_file):
"""TODO decribe what this method does.
Keyword arguments:
diff_file -- TODO describe what this argument is about
"""
rows = self._parse_src()
marked = Wordanalyzer.get_normalized_words(self._reader.parse(diff_file))
self.print_header_row(rows[0].get_column_format() if len(rows) > 0 else self._column_format.split('|'))
for row in rows:
normalized = Translator.normalize_word(row.original_word)
if normalized in marked:
if len(row.tags) > 0:
row.tags = 'marked %s' % row.tags
else:
row.tags = 'marked'
#end if
marked.remove(normalized)
print('Debug: tags = %s' % row.tags)
#end if
self.print_csv_row(row)
#end for
for word in marked:
self.print_csv_row([word, '', '', '', '', '', '', 'new'])
def print_new_words_en(self):
"""TODO decribe what this method does."""
for row in self._parse_src():
word = Translator.strip_annotations(row.original_word).lower() # normalize entry
if word in wordlist_en.WORD_COLLECTION_EN: # words is subset from WORD_COLLECTION
print('Removed entry %s (Normalized: %s)' % (row.original_word, word))
else:
self.print_csv_row(row)
def print_word_array(self, lang_code):
"""TODO decribe what this method does.
Keyword arguments:
lang_code -- TODO describe what this argument is about
"""
rows = self._parse_src()
self._ostream.write('#!/usr/bin/env python3\n\nWORD_COLLECTION_%s = set(sorted([\n' % lang_code) # print header
first_row = True
if lang_code == 'es':
for row in rows:
for word in Translator.resolve_word_list(row.original_word):
word = word.lower() # normalize entry
if first_row:
self._ostream.write('\t u\'')
first_row = False
else:
self._ostream.write('\t, u\'')
#end if
self._ostream.write(word.replace('\'', '\\\''))
self._ostream.write('\'\n')
#end for
#end for
else:
for row in rows:
word = Translator.strip_annotations(row.original_word).lower() # normalize entry
if first_row:
self._ostream.write('\t u\'')
first_row = False
else:
self._ostream.write('\t, u\'')
#end if
self._ostream.write(word.replace('\'', '\\\''))
self._ostream.write('\'\n')
#end for
#end if
self._ostream.write(']))\n')
def transcript_genome(self):
"""Reads a gene, determines if it should be expressed and
assigns it to a list, based on its type. This list represents
the data of all genes of a given type. All gene types are then
added to a dictionary. The transcriptor is then fed this dict.
"""
self.to_transcribe = {}
for gene in self.dna:
if gene.is_expressed:
if gene.type in self.to_transcribe:
self.to_transcribe[gene.type].append(gene)
else:
self.to_transcribe[gene.type] = [gene]
self.translator = Translator(self.to_transcribe)
def get_normalized_words(rows): return set([Translator.normalize_word(row.original_word) for row in rows])
import time
from functools import partial
from Connection import Connection, Listener
from translators import Translator
from handlers.request_handlers import handle_product_translation
if __name__ == "__main__":
translators = {
"NL_EUR": Translator(1.0, 1.21, "€"),
"GB_GBP": Translator(0.855, 1.2, "£"),
"US_USD": Translator(1.11, 1.1, "$"),
}
request_handlers = {
"translate-products": partial(handle_product_translation, translators)
}
c = Connection(
"main-queue",
"control-queue",
61613,
Listener(request_handlers=request_handlers),
"translator",
)
while True:
# keep app running to prevent docker from terminating
time.sleep(0.01)
