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from __future__ import print_function
import csv
import os
class Lo:
src_path = None
los = {}
model = {
'A': {}, 'B': {}, 'C': {}, 'D': {},
'E': {}, 'F': {}, 'G': {}, 'H': {},
}
def __init__(self, filename=None):
base_path = os.getcwd()
f_name = '03_Lo_data.csv' if not filename else filename
self.src_path = os.path.join(base_path, 'raw', f_name)
self.los = {}
with open(self.src_path, 'r') as f:
reader = csv.reader(f)
reader.next()
for r in reader:
lo_id = r[0]
t = {
'A': '%s%s%s%s' % (r[2], r[3], r[6], r[7]),
'B': '%s%s%s' % (r[10], r[12], r[13]),
'C': '%s%s%s%s' % (r[15], r[17], r[18], r[19]),
'D': '%s%s%s' % (r[21], r[22], r[24]),
'E': '%s%s%s%s%s' % (r[27], r[29], r[30], r[31], r[33]),
'F': '%s%s%s' % (r[13], r[15], r[19]),
'G': '%s%s%s' % (r[7], r[13], r[21]),
'H': '%s%s%s' % (r[10], r[22], r[27]),
}
for k, v in t.items():
if v not in self.model[k]:
self.model[k][v] = []
self.model[k][v].append(lo_id)
self.los[lo_id] = t.copy()
self.los[lo_id]['weight'] = r[35]
self.los[lo_id]['model'] = r[1]
def get(self, lo_id):
try:
return self.los[lo_id]
except (IndexError, KeyError):
return {}
def get_lo_list(self):
return self.los.keys()
def get_model(self, m_name):
try:
return self.model[m_name]
except IndexError:
return []
def get_mm(self, m_name, value):
return self.get_model_match(m_name, value)
def get_model_match(self, m_name, value):
try:
return self.model[m_name][value]
except IndexError:
return []
def get_mm_tuple(self, *args):
if len(args) > 1 or not isinstance(args, tuple):
return []
r = []
for i in args[0]:
if len(i) != 2 or not i[1]:
continue
m = self.get_mm(i[0], i[1])
if m:
r.append(m)
return set.intersection(*[set(k) for k in r])
def create_csv(filename, data, **kwargs):
if not isinstance(data, list):
print('Nope, data are not list')
directory = kwargs.get('directory', '')
path = os.path.join(os.getcwd(), 'build', directory)
try:
os.mkdir(path)
except OSError:
pass
fpath = os.path.join(path, filename)
with open(fpath, 'wb') as f:
owriter = csv.writer(
f, delimiter=',', quotechar='"', quoting=csv.QUOTE_ALL)
for r in data:
owriter.writerow(r)