def update_from_unit(self, translation, unit, pos, template=None):
"""
Process translation toolkit unit and stores/updates database entry.
"""
if template is None:
src = get_source(unit)
ctx = get_context(unit)
else:
src = get_target(template)
ctx = get_context(template)
checksum = msg_checksum(src, ctx)
# Try getting existing unit
from weblate.trans.models import Unit
dbunit = None
try:
dbunit = self.get(translation=translation, checksum=checksum)
force = False
except Unit.MultipleObjectsReturned:
# Some inconsistency (possibly race condition), try to recover
self.filter(translation=translation, checksum=checksum).delete()
except Unit.DoesNotExist:
pass
# Create unit if it does not exist
if dbunit is None:
dbunit = Unit(translation=translation, checksum=checksum, source=src, context=ctx)
force = True
# Update all details
dbunit.update_from_unit(unit, pos, force, template)
# Return result
return dbunit, force
def test_get_operon(self):
records = [
GeneInterval(
268, 469,
('MVLRQLSRQASVRVSKTWTGTKRRAQRIFIFILELLLEFCRGEDSVDGKNKSTTALPA'
'VKDSVKDS'), 1
),
GeneInterval(
504, 1560,
('MGAALALLGDLVASVSEAAAATGFSVAEIAAGEAAAAIEVQIAS'
'LATVEGITSTSEAIAAIGLTPQTYAVIAGAPGAIAGFAALIQTVTGISSLAQVGYRFF'
'SDWDHKVSTVGLYQQSGMALELFNPDEYYDILFPGVNTFVNNIQYLDPRHWGPSLFAT'
'ISQALWHVIRDDIPAITSQELQRRTERFFRDSLARFLEETTWTIVNAPVNFYNYIQDY'
'YSNLSPIRPSMVRQVAEREGTQVNFGHTYRIDDADSIQEVTQRMELRNKENVHSGEFI'
'EKTIAPGGANQRTAPQWMLPLLLGLYGTVTPALEAYEDGPNQKKRRVSRGSSQKAKGT'
'RASAKTTNKRRSRSSRS'), 1
),
GeneInterval(
861, 1560,
('MALELFNPDEYYDILFPGVNTFVNNIQYLDPRHWGPSLFATISQ'
'ALWHVIRDDIPAITSQELQRRTERFFRDSLARFLEETTWTIVNAPVNFYNYIQDYYSN'
'LSPIRPSMVRQVAEREGTQVNFGHTYRIDDADSIQEVTQRMELRNKENVHSGEFIEKT'
'IAPGGANQRTAPQWMLPLLLGLYGTVTPALEAYEDGPNQKKRRVSRGSSQKAKGTRAS'
'AKTTNKRRSRSSRS'), 1
)
]
operon = get_context(records, 0, 100)
self.assertGreater(len(operon), 0)
operon = get_context(records, 1, 100)
self.assertGreater(len(operon), 0)
def reply_for_query(fb_id, fb_text):
distance = []
if util.get_context(fb_id) is None:
intent, parameter = apiai_query(fb_text)
if intent == General_Talk:
text1 = quick_reply_template_class("text",
title="need medicine",
image_url="",
payload="medicine.need")
text2 = quick_reply_template_class("text",
title="update medicine",
image_url="",
payload="medicine.update")
data = text_template(
fb_id,
"How can i help you",
quick_reply=True,
type=[quick_reply_type.text, quick_reply_type.text],
data=[text1.__dict__, text2.__dict__])
# TODO:set the context to need or update medicine
elif intent == Query_medicine:
if not parameter.get("drug", None) is None:
drug = parameter["drug"]
brand = drug
else:
brand = parameter["brand"]
# TODO GET BRAND NAME IF DRUGNAME IS GIVEN
if not parameter.get("number", None) is None:
quantity = parameter["number"]
generic_data = query_medicine_responce_builder(
fb_id, brand, quantity)
data = generic_data.__dict__
else:
# TODO Handle case when user texts only with medicine name
util.create_context(fb_id, "MISSING_QTY", (brand))
data = text_template(fb_id,
"How mcuh quantity you need",
quick_reply=False)
else:
data = text_template(fb_id,
"this feature is yet to be implimented",
quick_reply=False)
elif util.get_context(fb_id) == "MISSING_QTY":
brand = util.get_context_data(fb_id)
util.remove_context(fb_id)
quantity = fb_text
generic_data = query_medicine_responce_builder(fb_id, brand, quantity)
data = generic_data.__dict__
reply(data)
def test_boundaries(self):
res = get_context(self.genes, 0, window_size=3)
g1 = GeneInterval(1, 2, 'G', 1)
n1 = GeneInterval(3, 4, 'H', 1)
n2 = GeneInterval(4, 5, 'I', 1)
self.assertNotIn(g1, res)
self.assertIn(n1, res)
self.assertIn(n2, res)
res = get_context(self.genes, 5, window_size=3)
n1 = GeneInterval(13, 14, 'J', -1)
g1 = GeneInterval(15, 16, 'L', -1)
self.assertNotIn(g1, res)
self.assertIn(n1, res)
def test_context(self):
res = get_context(self.genes, 1, window_size=3)
exp = GeneInterval(1, 2, 'G', 1)
self.assertEqual(res[0], exp)
exp = GeneInterval(4, 5, 'I', 1)
self.assertEqual(res[1], exp)
def draw_gene(i, d):
if d <= self.within_prob:
# draw operon
operon = get_context(gis, i, self.window_size)
j = np.random.randint(0, len(operon))
return gis[i], operon[j]
else:
# draw outside operon
j = draw_exclusive(len(gis), i)
return gis[i], gis[j]
def update_from_unit(self, translation, unit, pos, template=None):
'''
Process translation toolkit unit and stores/updates database entry.
'''
if template is None:
src = get_source(unit)
ctx = get_context(unit)
else:
src = get_target(template)
ctx = get_context(template)
checksum = msg_checksum(src, ctx)
# Try getting existing unit
from weblate.trans.models import Unit
dbunit = None
try:
dbunit = self.get(translation=translation, checksum=checksum)
force = False
except Unit.MultipleObjectsReturned:
# Some inconsistency (possibly race condition), try to recover
self.filter(translation=translation, checksum=checksum).delete()
except Unit.DoesNotExist:
pass
# Create unit if it does not exist
if dbunit is None:
dbunit = Unit(translation=translation,
checksum=checksum,
source=src,
context=ctx)
force = True
# Update all details
dbunit.update_from_unit(unit, pos, force, template)
# Return result
return dbunit, force
def wrapper(*args, **kwargs):
kwargs[self.keyword] = get_context(kwargs["rpc"])
rv = callback(*args, **kwargs)
return rv
from util import get_context
from util import remove_ponctuation
with open("corpus_modifié.txt") as f:
content = f.readlines()
for i in range(len(content)):
if len(content[i].split("\t")) > 2:
replace = content[i].split("\t")
replace[1] = remove_ponctuation(replace[1])
content[i] = "\t".join(replace)
print(content[i])
output = open("corpus_prep.data", "w")
for i in range(len(content)):
output_line = ""
input_line = content[i].split("\t")
# print(input_line)
if len(input_line) > 2:
if input_line[4] == "hyp\n":
context = get_context(i, content)
output_line += str(i+1) + " , " + context[0] + " , " \
+ input_line[1] + " , " + context[1] + " , " + input_line[3] + " ."
output.write(output_line + "\n")
