def resolve_aggregations(self,
info,
filters=None,
aggregations_filter_themselves=None):
all_files = [data.get_file(file_id) for file_id in self.hits]
filtered_files = utilities.filter_hits(all_files, filters, "files")
return data.get_file_aggregations(filtered_files)
def resolve_aggregations(self,
info,
filters=None,
aggregations_filter_themselves=None):
all_cases = [data.get_case(case_id) for case_id in self.hits]
filtered_cases = utilities.filter_hits(all_cases, filters, "cases")
case_aggregations = data.get_case_aggregations(filtered_cases)
return case_aggregations
def resolve_aggregations(self,
info,
filters=None,
aggregations_filter_themselves=None):
projects = data.get_current_projects()
filtered_projects = utilities.filter_hits(projects, filters,
"projects")
project_aggregations = data.get_project_aggregations(filtered_projects)
return project_aggregations
def resolve_hits(self,
info,
first=None,
offset=None,
sort=None,
filters=None):
projects = data.get_current_projects()
filtered_projects = utilities.filter_hits(projects, filters,
"projects")
return filtered_projects
def resolve_hits(self,
info,
first=None,
score=None,
offset=None,
sort=None,
filters=None):
all_cases = [data.get_case(case_id) for case_id in self.hits]
filtered_cases = utilities.filter_hits(all_cases, filters, "cases")
sorted_cases = utilities.sort_hits(filtered_cases, sort)
return sorted_cases
from sqlalchemy import create_engine
from charlie.models.charlie_classes import AmountString
from charlie.settings import Settings
from sqlalchemy.orm import sessionmaker
'''setup database connection'''
connection_string = Settings().connection_string
engine = create_engine(connection_string)
Session = sessionmaker(bind=engine)
Session.configure(bind=engine)
session = Session()
data_file = "".join([p for p in open("parsed.json")])
hits = re.findall("{[^}]+}", data_file)
hits = filter_hits(hits, 'agreement_amount')
output = []
for h in hits:
output.append((h['id'], h['original'], h['agreement_amount']))
ids = [o[0] for o in output]
counter = Counter(ids)
to_check_with_human = []
to_retrain = []
for c in counter.keys():
if int(counter[c]) == 1:
def color_me_red(input_text, color_this):
return input_text.replace(color_this, Fore.RED + color_this + Fore.RESET)
def write_new(line):
with open('corrected.csv', 'a') as csvfile:
spamwriter = csv.writer(csvfile,
delimiter=',',
quotechar='"',
quoting=csv.QUOTE_MINIMAL)
spamwriter.writerow([line])
data_file = "".join([p for p in open("parsed.json")])
hits = re.findall("{[^}]+}", data_file)
hits = filter_hits(hits, tag_to_check)
counter = 0
for h in hits:
counter += 1
print str(counter) + " of " + str(len(hits))
print "{} | {}".format(
color_me_red(h[tag_to_check][0], h[tag_to_check][0]),
color_me_red(h['original'].strip(), h[tag_to_check][0]))
var = raw_input("Correct (c) or Not (n)?")
if var == "n":
write_new(h['original'])