def browse_data(self, data=None, file_name=None, max_iterations=9999):
if file_name == None:
file_name = self.combined_data_file_name
if data == None:
data = open_json_file(file_name)
outcome_dict = {}
n = 0
n1 = 0
for e in data:
# if True == True:
# print(data[e])
# for e in data[e]['02.location_details']['address'].split():
# if e not in outcome_dict.keys():
# outcome_dict[e] = 1
# else:
# outcome_dict[e] += 1
if data[e]['01.main_data'][
'source'] == "rm" and n <= max_iterations:
print(data[e])
n += 1
if data[e]['01.main_data']['source'] == "zhand":
print(data[e])
n1 += 1
if n1 >= max_iterations:
break
return outcome_dict
def find_matching_data(self,
data=None,
file_name=None,
save_data=True,
max_iterations=9999):
if data == None:
data = open_json_file(self.combined_data_file_name)
n = 0
for item in data:
print("***\nFinding match for: {}, id: {}".format(
data[item]["01.main_data"]["name"], item))
if self.cond_set(item=data[item], source="bj",
type="lease") == True:
print("requirements test passed")
self.matching_procedure(operand=data[item],
data=data,
target_source="rm")
self.matching_procedure(operand=data[item],
data=data,
target_source="oc")
self.matching_procedure(operand=data[item],
data=data,
target_source="zhand")
self.matching_procedure(operand=data[item],
data=data,
target_source="rm",
match_method="address")
self.matching_procedure(operand=data[item],
data=data,
target_source="oc",
match_method="address")
self.matching_procedure(operand=data[item],
data=data,
target_source="zhand",
match_method="address")
else:
print("requirements not met")
n += 1
if n >= max_iterations:
break
if save_data == True:
if file_name == None:
file_name = self.combined_data_file_name
save_json_file(file_name=file_name, content=data)
def browse_data(self, file_name=None, max_iterations=9999):
if file_name == None:
file_name = self.raw_data_output_file
data = open_json_file(file_name)
n = 0
for e in data:
n += 1
print(n)
print(e)
if n >= max_iterations:
break
return data
def merge_data(self, input_file_name=None, outut_file_name=None, save_data=True, max_iterations=9999):
if input_file_name == None:
raise Exception("No input file")
if outut_file_name == None:
outut_file_name = self.merged_data_output_file
data = open_json_file(input_file_name)
output = self.merging_function(data, max_iterations=max_iterations)
if save_data == True:
save_json_file(file_name=outut_file_name, content=output)
return output
def browse_data(self, data=None, file_name=None, max_iterations=9999):
if file_name == None:
file_name = self.restruct_data_output_file
if data == None:
data = open_json_file(file_name)
n = 0
for e in data:
n += 1
print(n)
print(data[e])
if n >= max_iterations:
break
return data
def browse_data(self, data=None, file_name=None, max_iterations=9999):
if file_name == None:
file_name = self.merged_data_output_file
if data == None:
data = open_json_file(file_name)
n = 0
for e in data:
n += 1
print(n)
print("{}: {}".format(e, data[e]))
if n >= max_iterations:
break
return data
def combine_data(self, file_name=None, save_data=True):
if file_name == None:
file_name = self.combined_data_file_name
output = {}
for file in [f for f in listdir("datasets")]:
if "st2" in file:
print(file)
file_data = open_json_file("datasets/{}".format(file))
for item in file_data:
output[item] = file_data[item]
if save_data == True:
save_json_file(file_name=file_name, content=output)
return output
def bug_fixing(self,
input_file_name=None,
outut_file_name=None,
save_data=True,
max_iterations=9999):
if input_file_name == None:
raise Exception("No input file")
if outut_file_name == None:
outut_file_name = self.bug_fixed_data_output_file
data = open_json_file(input_file_name)
data = self.fixing_completion_date_bug(data,
max_iterations=max_iterations)
data = self.fixing_parking_ratio_bug(data,
max_iterations=max_iterations)
data = self.fixing_address_bug(data, max_iterations=max_iterations)
if save_data == True:
save_json_file(file_name=outut_file_name, content=data)
return data
def __init__(self, name_of_set):
self.name_of_set = name_of_set
self.raw_data = open_json_file("datasets/st1_raw_data_{}.json".format(
self.name_of_set))
self.restruct_data_output_file = "datasets/st2_restruct_data_{}.json".format(
self.name_of_set)
self.item_pattern = {
'01.main_data': {
'name': '',
'type': '',
'source': '',
'id': '',
'match_id': '',
'match_level': '',
'match_address': '',
'match_a_level': '',
'record_rating': ''
},
'02.location_details': {
'city': '',
'district': '',
'address': ''
},
'03.offer_details': {
'av_office': '',
'av_office_vol': '',
'rent_office': '',
'rent_retail': '',
'rent_warehouse': '',
'service_charge': '',
'cost_parking_surface': '',
'cost_parking_underground': '',
'min_space_to_let': '',
'min_lease': '',
'add_on_factor': ''
},
'04.building_details': {
'building_status': '',
'building_class': '',
'total_net_space': '',
'total_gross_space': '',
'completion_date': '',
'ground_floors': '',
'underground_floors': '',
'floor_plate': '',
'no_surface_parking': '',
'no_underground_parking': '',
'parking_ratio': '',
'building_certification': ''
},
'05.fitout_standard': {
'sprinklers': '',
'access_control': '',
'computer_cabling': '',
'switchboard': '',
'smoke_detectors': '',
'suspended_ceiling': '',
'openable_windows': '',
'partition_walls': '',
'backup_power_supply': '',
'telephone_cabling': '',
'power_cabling': '',
'air_conditioning': '',
'raised_floor': '',
'carpeting': '',
'fibre_optic_connections': '',
'BMS': ''
},
'09.metadata': {
'rm_id': '',
'rm_url': '',
'rm_pic_url': '',
'bj_id': '',
'bj_url': '',
'bj_pic_url': '',
'oc_id': '',
'oc_url': '',
'oc_pic_url': '',
'add_info': ''
}
}
self.translate_dict_bj = {"Log in": "", "Leased": ""}
def data_to_csv(self, function, input_file_name, output_file_name):
data = open_json_file(input_file_name)
csv_data = function(data)
self.save_to_csv(file_name=output_file_name, content=csv_data)
