def read():
response = Response()
parameters = addict.Dict(request.get_json())
parameters.path = os.path.abspath(parameters.path) if parameters.path else ABSPATH_STARTDIR
if parameters.name and parameters.format:
path = os.path.join(parameters.path, parameters.name)
if os.path.exists(path):
if parameters.format == 'cdata':
cdat = cdata.read(path)
data = cdat.to_dict()
response.set_data(data)
elif parameters.format in ['pipeline', 'gist']:
try:
data = JSON.read(path)
except json.decoder.JSONDecodeError as e:
data = [ ]
response.set_data(data)
else:
response.set_error(Response.Error.UNPROCESSABLE_ENTITY, 'Here')
else:
response.set_error(Response.Error.NOT_FOUND, 'File does not exist.')
else:
response.set_error(Response.Error.UNPROCESSABLE_ENTITY, 'There')
dict_ = response.to_dict()
json_ = jsonify(dict_)
code = response.code
return json_, code
def pmethods():
response = Response()
path = os.path.join(R.Path.DATA, 'preprocess-methods.json')
methods = JSON.read(path)
response.set_data(methods)
dict_ = response.to_dict()
json_ = jsonify(dict_)
code = response.code
return json_, code
def pmethods():
response = Response()
path = os.path.join(R.Path.DATA, 'preprocess-methods.json')
methods = JSON.read(path)
response.set_data(methods)
dict_ = response.to_dict()
json_ = jsonify(dict_)
code = response.code
return json_, code
# imports - standard imports
import os, csv
# imports - module imports
from candis.resource import R
from candis.ios import json as JSON
ATTRIBUTE_TYPES = JSON.read(os.path.join(R.Path.DATA, 'attribute-types.json'))
def get_attribute_tag(attr):
tag = None
if 'type' in attr:
for attp in ATTRIBUTE_TYPES:
if attr['type'] == attp['name']:
tag = attp['tag']
return tag
def write(path, dataset, delimiter=','):
with open(path, mode='w') as f:
writer = csv.writer(f, delimiter=delimiter)
cnames = []
for attr in dataset['attributes']:
tag = get_attribute_tag(attr)
name = attr['name']
cname = (tag + ' ' + name) if tag else name
# imports - standard imports
import os, csv
# imports - module imports
from candis.resource import R
from candis.ios import json as JSON
ATTRIBUTE_TYPES = JSON.read(os.path.join(R.Path.DATA, 'attribute-types.json'))
def get_attribute_tag(attr):
tag = None
if 'type' in attr:
for attp in ATTRIBUTE_TYPES:
if attr['type'] == attp['name']:
tag = attp['tag']
return tag
def write(path, dataset, delimiter = ','):
with open(path, mode = 'w') as f:
writer = csv.writer(f, delimiter = delimiter)
cnames = [ ]
for attr in dataset['attributes']:
tag = get_attribute_tag(attr)
name = attr['name']
cname = (tag + ' ' + name) if tag else name
cnames.append(cname)
def get_config(self):
path = os.path.join(self.location, self.dirname, 'config.json')
para = JSON.read(path)
return para
def read(path):
pipeline = JSON.read(path)
return pipeline
# imports - third-party imports
from flask import request, jsonify
import addict
# imports - module imports
from candis.config import CONFIG
from candis.util import (
assign_if_none, get_rand_uuid_str, get_timestamp_str, merge_dicts
)
from candis.resource import R
from candis.ios import cdata, pipeline
from candis.ios import json as JSON
from candis.app.server.app import app
from candis.app.server.response import Response
FFORMATS = JSON.read(os.path.join(R.Path.DATA, 'file-formats.json'))
ABSPATH_STARTDIR = os.path.abspath(CONFIG.App.STARTDIR)
def get_filename_if_exists(filename, count = 1, format_ = ' ({count})'):
name, extension = os.path.splitext(filename)
if os.path.exists(filename):
format_ = '{name}{format_}{extension}'.format(
name = name,
format_ = format_,
extension = extension
)
while os.path.exists(format_.format(count = count)):
count += 1