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# -*- coding: utf-8 -*-
#!/usr/bin/env python
#
# Copyright 2014-2016 BigML
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
"""Base class for sources' REST calls
"""
import sys
import os
import urllib2
try:
#added to allow GAE to work
from google.appengine.api import urlfetch
GAE_ENABLED = True
except ImportError:
GAE_ENABLED = False
import ssl
try:
import simplejson as json
except ImportError:
import json
from threading import Thread
PYTHON_2_7_9 = len(urllib2.urlopen.__defaults__) > 2
PYTHON_2 = sys.version_info < (3, 0)
if PYTHON_2:
from poster.encode import multipart_encode, MultipartParam
if PYTHON_2_7_9:
from bigml.sslposter import StreamingHTTPSHandler, register_openers
elif PYTHON_2:
from poster.streaminghttp import StreamingHTTPSHandler, register_openers
from bigml.util import (localize, clear_console_line, reset_console_line,
console_log, is_url)
from bigml.bigmlconnection import (
HTTP_CREATED, HTTP_ACCEPTED, HTTP_BAD_REQUEST,
HTTP_UNAUTHORIZED, HTTP_PAYMENT_REQUIRED, HTTP_NOT_FOUND,
HTTP_TOO_MANY_REQUESTS, HTTP_FORBIDDEN,
HTTP_INTERNAL_SERVER_ERROR, GAE_ENABLED, SEND_JSON)
from bigml.resourcehandler import (check_resource_type,
resource_is_ready,
get_source_id)
from bigml.constants import SOURCE_PATH, UPLOADING
from bigml.resourcehandler import ResourceHandler, LOGGER
if PYTHON_2:
register_openers()
else:
import requests
from bigml.util import maybe_save
class SourceHandler(ResourceHandler):
"""This class is used by the BigML class as
a mixin that provides the REST calls to sources. It should not
be instantiated independently.
"""
def __init__(self):
"""Initializes the SourceHandler. This class is intended to be
used as a mixin on ResourceHandler, that inherits its
attributes and basic method from BigMLConnection, and must not be
instantiated independently.
"""
self.source_url = self.url + SOURCE_PATH
def _create_remote_source(self, url, args=None):
"""Creates a new source using a URL
"""
create_args = {}
if args is not None:
create_args.update(args)
create_args.update({"remote": url})
body = json.dumps(create_args)
return self._create(self.source_url, body)
def _create_inline_source(self, src_obj, args=None):
"""Create source from inline data
The src_obj data should be a list of rows stored as dict or
list objects.
"""
create_args = {}
if args is not None:
create_args.update(args)
# some basic validation
if (not isinstance(src_obj, list) or (
not all([isinstance(row, dict) for row in src_obj]) and
not all([isinstance(row, list) for row in src_obj]))):
raise TypeError(
'ERROR: inline source must be a list of dicts or a '
'list of lists')
create_args.update({"data": json.dumps(src_obj)})
body = json.dumps(create_args)
return self._create(self.source_url, body)
def _upload_source(self, args, source, out=sys.stdout):
"""Uploads a source asynchronously.
"""
def update_progress(param, current, total):
"""Updates source's progress.
"""
progress = round(current * 1.0 / total, 2)
if progress < 1.0:
source['object']['status']['progress'] = progress
resource = self._process_source(source['resource'], source['location'],
source['object'],
args=args, progress_bar=True,
callback=update_progress, out=out)
source['code'] = resource['code']
source['resource'] = resource['resource']
source['location'] = resource['location']
source['object'] = resource['object']
source['error'] = resource['error']
def _stream_source(self, file_name, args=None, async=False,
progress_bar=False, out=sys.stdout):
"""Creates a new source.
"""
def draw_progress_bar(param, current, total):
"""Draws a text based progress report.
"""
pct = 100 - ((total - current) * 100) / (total)
console_log("Uploaded %s out of %s bytes [%s%%]" % (
localize(current), localize(total), pct), reset=True)
create_args = {}
if args is not None:
create_args.update(args)
if 'source_parser' in create_args:
create_args['source_parser'] = json.dumps(
create_args['source_parser'])
resource_id = None
location = None
resource = None
error = None
try:
if isinstance(file_name, basestring):
create_args.update({os.path.basename(file_name):
open(file_name, "rb")})
else:
create_args = create_args.items()
name = '<none>'
create_args.append(MultipartParam(name, filename=name,
fileobj=file_name))
except IOError, exception:
raise IOError("Error: cannot read training set. %s" %
str(exception))
if async:
source = {
'code': HTTP_ACCEPTED,
'resource': resource_id,
'location': location,
'object': {'status': {'message': 'The upload is in progress',
'code': UPLOADING,
'progress': 0.0}},
'error': error}
upload_args = (create_args, source)
thread = Thread(target=self._upload_source,
args=upload_args,
kwargs={'out': out})
thread.start()
return source
return self._process_source(resource_id, location, resource,
args=create_args,
progress_bar=progress_bar,
callback=draw_progress_bar, out=out)
def _process_source(self, resource_id, location, resource,
args=None, progress_bar=False, callback=None,
out=sys.stdout):
"""Creates a new source.
"""
code = HTTP_INTERNAL_SERVER_ERROR
error = {
"status": {
"code": code,
"message": "The resource couldn't be created"}}
if progress_bar and callback is not None:
body, headers = multipart_encode(args, cb=callback)
else:
body, headers = multipart_encode(args)
if GAE_ENABLED:
try:
response = urlfetch.fetch(url=self.source_url + self.auth,
payload="".join(body),
method=urlfetch.POST,
headers=headers)
code = response.status_code
content = response.content
if code in [HTTP_CREATED]:
if 'location' in response.headers:
location = response.headers['location']
resource = json.loads(response.content.decode(), 'utf-8')
resource_id = resource['resource']
error = {}
elif code in [HTTP_BAD_REQUEST,
HTTP_UNAUTHORIZED,
HTTP_PAYMENT_REQUIRED,
HTTP_FORBIDDEN,
HTTP_NOT_FOUND,
HTTP_TOO_MANY_REQUESTS]:
error = json.loads(response.content.decode(), 'utf-8')
LOGGER.error(self.error_message(error, method='create'))
elif code != HTTP_ACCEPTED:
LOGGER.error("Unexpected error (%s)", code)
code = HTTP_INTERNAL_SERVER_ERROR
except urlfetch.Error, exception:
LOGGER.error("Error establishing connection: %s",
str(exception))
else:
try:
request = urllib2.Request(self.source_url + self.auth,
body, headers)
# try using the new SSL checking in python 2.7.9
try:
if not self.verify and PYTHON_2_7_9:
context = ssl.create_default_context(
ssl.Purpose.CLIENT_AUTH)
context.verify_mode = ssl.CERT_NONE
https_handler = StreamingHTTPSHandler(context=context)
opener = urllib2.build_opener(https_handler)
urllib2.install_opener(opener)
response = urllib2.urlopen(request)
else:
response = urllib2.urlopen(request)
except AttributeError:
response = urllib2.urlopen(request)
clear_console_line(out=out)
reset_console_line(out=out)
code = response.getcode()
if code == HTTP_CREATED:
location = response.headers['location']
content = response.read()
resource = json.loads(content, 'utf-8')
resource_id = resource['resource']
error = {}
except ValueError:
LOGGER.error("Malformed response.")
except urllib2.HTTPError, exception:
code = exception.code
if code in [HTTP_BAD_REQUEST,
HTTP_UNAUTHORIZED,
HTTP_PAYMENT_REQUIRED,
HTTP_NOT_FOUND,
HTTP_TOO_MANY_REQUESTS]:
content = exception.read()
error = json.loads(content.decode(), 'utf-8')
LOGGER.error(self.error_message(error, method='create'))
else:
LOGGER.error("Unexpected error (%s)", code)
code = HTTP_INTERNAL_SERVER_ERROR
except urllib2.URLError, exception:
LOGGER.error("Error establishing connection: %s",
str(exception))
error = exception.args
return {
'code': code,
'resource': resource_id,
'location': location,
'object': resource,
'error': error}
def _create_local_source(self, file_name, args=None):
"""Creates a new source using a local file.
This function is only used from Python 3. No async-prepared.
"""
create_args = {}
if args is not None:
create_args.update(args)
for key, value in create_args.items():
if value is not None and (isinstance(value, list) or
isinstance(value, dict)):
create_args[key] = json.dumps(value)
code = HTTP_INTERNAL_SERVER_ERROR
resource_id = None
location = None
resource = None
error = {
"status": {
"code": code,
"message": "The resource couldn't be created"}}
try:
if isinstance(file_name, basestring):
files = {os.path.basename(file_name): open(file_name, "rb")}
else:
files = {'stdin': file_name}
except IOError:
sys.exit("ERROR: cannot read training set")
if GAE_ENABLED:
try:
req_options = {
'url': self.source_url + self.auth,
'method': urlfetch.POST,
'headers': SEND_JSON,
'data': create_args,
'files': files,
'validate_certificate': self.verify
}
response = urlfetch.fetch(**req_options)
except urlfetch.Error, exception:
LOGGER.error("HTTP request error: %s",
str(exception))
return maybe_save(resource_id, self.storage, code,
location, resource, error)
else:
try:
response = requests.post(self.source_url + self.auth,
files=files,
data=create_args, verify=self.verify)
except (requests.ConnectionError,
requests.Timeout,
requests.RequestException), exc:
LOGGER.error("HTTP request error: %s", str(exc))
code = HTTP_INTERNAL_SERVER_ERROR
return maybe_save(resource_id, self.storage, code,
location, resource, error)
try:
code = response.status_code
if code == HTTP_CREATED:
location = response.headers['location']
resource = json.loads(response.content.decode(), 'utf-8')
resource_id = resource['resource']
error = None
elif code in [HTTP_BAD_REQUEST,
HTTP_UNAUTHORIZED,
HTTP_PAYMENT_REQUIRED,
HTTP_NOT_FOUND,
HTTP_TOO_MANY_REQUESTS]:
error = json.loads(response.content.decode(), 'utf-8')
else:
LOGGER.error("Unexpected error (%s)" % code)
code = HTTP_INTERNAL_SERVER_ERROR
except ValueError:
LOGGER.error("Malformed response")
return maybe_save(resource_id, self.storage, code,
location, resource, error)
def create_source(self, path=None, args=None, async=False,
progress_bar=False, out=sys.stdout):
"""Creates a new source.
The source can be a local file path or a URL.
"""
if path is None:
raise Exception('A local path or a valid URL must be provided.')
if is_url(path):
return self._create_remote_source(path, args=args)
elif isinstance(path, list):
return self._create_inline_source(path, args=args)
elif PYTHON_2:
return self._stream_source(file_name=path, args=args, async=async,
progress_bar=progress_bar, out=out)
else:
return self._create_local_source(file_name=path, args=args)
def get_source(self, source, query_string=''):
"""Retrieves a remote source.
The source parameter should be a string containing the
source id or the dict returned by create_source.
As source is an evolving object that is processed
until it reaches the FINISHED or FAULTY state, thet function will
return a dict that encloses the source values and state info
available at the time it is called.
"""
check_resource_type(source, SOURCE_PATH,
message="A source id is needed.")
source_id = get_source_id(source)
if source_id:
return self._get("%s%s" % (self.url, source_id),
query_string=query_string)
def source_is_ready(self, source):
"""Checks whether a source' status is FINISHED.
"""
check_resource_type(source, SOURCE_PATH,
message="A source id is needed.")
source = self.get_source(source)
return resource_is_ready(source)
def list_sources(self, query_string=''):
"""Lists all your remote sources.
"""
return self._list(self.source_url, query_string)
def update_source(self, source, changes):
"""Updates a source.
Updates remote `source` with `changes'.
"""
check_resource_type(source, SOURCE_PATH,
message="A source id is needed.")
source_id = get_source_id(source)
if source_id:
body = json.dumps(changes)
return self._update("%s%s" % (self.url, source_id), body)
def delete_source(self, source):
"""Deletes a remote source permanently.
"""
check_resource_type(source, SOURCE_PATH,
message="A source id is needed.")
source_id = get_source_id(source)
if source_id:
return self._delete("%s%s" % (self.url, source_id))
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