text: #
  # Licensed to the Apache Software Foundation (ASF) under one or more
  # contributor license agreements.  See the NOTICE file distributed with
  # this work for additional information regarding copyright ownership.
  # The ASF licenses this file to You 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.
  #
  
  from __future__ import print_function
  import ast
  from collections import OrderedDict
  import datetime
  import decimal
  import io
  import json
  import logging
  import sys
  import traceback
  import base64
  import os
  import re
  import threading
  import tempfile
  import shutil
  import pickle
  import textwrap
  
  if sys.version >= '3':
      unicode = str
  else:
      import cStringIO
      import StringIO
  
  logging.basicConfig()
  LOG = logging.getLogger('fake_shell')
  
  global_dict = {}
  job_context = None
  local_tmp_dir_path = None
  
  TOP_FRAME_REGEX = re.compile(r'\s*File "<stdin>".*in <module>')
  
  def execute_reply(status, content):
      return {
          'msg_type': 'execute_reply',
          'content': dict(
              content,
              status=status,
          )
      }
  
  
  def execute_reply_ok(data):
      return execute_reply('ok', {
          'data': data,
      })
  
  
  def execute_reply_error(exc_type, exc_value, tb):
      LOG.error('execute_reply', exc_info=True)
      if sys.version >= '3':
        formatted_tb = traceback.format_exception(exc_type, exc_value, tb, chain=False)
      else:
        formatted_tb = traceback.format_exception(exc_type, exc_value, tb)
      for i in range(len(formatted_tb)):
          if TOP_FRAME_REGEX.match(formatted_tb[i]):
              formatted_tb = formatted_tb[:1] + formatted_tb[i + 1:]
              break
  
      return execute_reply('error', {
          'ename': unicode(exc_type.__name__),
          'evalue': unicode(exc_value),
          'traceback': formatted_tb,
      })
  
  
  def execute_reply_internal_error(message, exc_info=None):
      LOG.error('execute_reply_internal_error', exc_info=exc_info)
      return execute_reply('error', {
          'ename': 'InternalError',
          'evalue': message,
          'traceback': [],
      })
  
  
  class JobContextImpl(object):
      def __init__(self):
          self.lock = threading.Lock()
          self.sc = global_dict['sc']
          self.sql_ctx = global_dict['sqlContext']
          self.hive_ctx = None
          self.streaming_ctx = None
          self.local_tmp_dir_path = local_tmp_dir_path
          self.spark_session = global_dict.get('spark')
          self.shared_variables = OrderedDict()
          self.max_var_size = 100
  
      def sc(self):
          return self.sc
  
      def sql_ctx(self):
          return self.sql_ctx
  
      def hive_ctx(self):
          if self.hive_ctx is None:
              with self.lock:
                  if self.hive_ctx is None:
                      if isinstance(self.sql_ctx, global_dict['HiveContext']):
                          self.hive_ctx = self.sql_ctx
                      else:
                          self.hive_ctx = global_dict['HiveContext'](self.sc)
          return self.hive_ctx
  
      def create_streaming_ctx(self, batch_duration):
          with self.lock:
              if self.streaming_ctx is not None:
                  raise ValueError("Streaming context already exists")
              self.streaming_ctx = global_dict['StreamingContext'](self.sc, batch_duration)
  
      def streaming_ctx(self):
          with self.lock:
              if self.streaming_ctx is None:
                  raise ValueError("create_streaming_ctx function should be called first")
          return self.streaming_ctx
  
      def stop_streaming_ctx(self):
          with self.lock:
              if self.streaming_ctx is None:
                  raise ValueError("Cannot stop streaming context. Streaming context is None")
              self.streaming_ctx.stop()
              self.streaming_ctx = None
  
      def get_local_tmp_dir_path(self):
          return self.local_tmp_dir_path
  
      def stop(self):
          with self.lock:
              if self.streaming_ctx is not None:
                  self.stop_streaming_ctx()
              if self.sc is not None:
                  self.sc.stop()
  
      def spark_session(self):
          return self.spark_session
  
      def get_shared_object(self, name):
          with self.lock:
              try:
                  var = self.shared_variables[name]
                  del self.shared_variables[name]
                  self.shared_variables[name] = var
              except:
                  var = None
  
          return var
  
      def set_shared_object(self, name, object):
          with self.lock:
              self.shared_variables[name] = object
  
              while len(self.shared_variables) > self.max_var_size:
                  self.popitem(last=False)
  
      def remove_shared_object(self, name):
          with self.lock:
              try:
                  del self.shared_variables[name]
              except:
                  pass
  
  
  class PySparkJobProcessorImpl(object):
      def processBypassJob(self, serialized_job):
          try:
              if sys.version >= '3':
                  deserialized_job = pickle.loads(serialized_job, encoding="bytes")
              else:
                  deserialized_job = pickle.loads(serialized_job)
              result = deserialized_job(job_context)
              serialized_result = global_dict['cloudpickle'].dumps(result)
              response = bytearray(base64.b64encode(serialized_result))
          except:
              response = bytearray('Client job error:' + traceback.format_exc(), 'utf-8')
          return response
  
      def addFile(self, uri_path):
          job_context.sc.addFile(uri_path)
  
      def addPyFile(self, uri_path):
          job_context.sc.addPyFile(uri_path)
  
      def getLocalTmpDirPath(self):
          return os.path.join(job_context.get_local_tmp_dir_path(), '__livy__')
  
      class Scala:
          extends = ['org.apache.livy.repl.PySparkJobProcessor']
  
  
  class ExecutionError(Exception):
      def __init__(self, exc_info):
          self.exc_info = exc_info
  
  
  class NormalNode(object):
      def __init__(self, code):
          self.code = compile(code, '<stdin>', 'exec', ast.PyCF_ONLY_AST, 1)
  
      def execute(self):
          to_run_exec, to_run_single = self.code.body[:-1], self.code.body[-1:]
  
          try:
              for node in to_run_exec:
                  mod = ast.Module([node])
                  code = compile(mod, '<stdin>', 'exec')
                  exec(code, global_dict)
  
              for node in to_run_single:
                  mod = ast.Interactive([node])
                  code = compile(mod, '<stdin>', 'single')
                  exec(code, global_dict)
          except:
              # We don't need to log the exception because we're just executing user
              # code and passing the error along.
              raise ExecutionError(sys.exc_info())
  
  
  class UnknownMagic(Exception):
      pass
  
  
  class MagicNode(object):
      def __init__(self, line):
          parts = line[1:].split(' ', 1)
          if len(parts) == 1:
              self.magic, self.rest = parts[0], ()
          else:
              self.magic, self.rest = parts[0], (parts[1],)
  
      def execute(self):
          if not self.magic:
              raise UnknownMagic('magic command not specified')
  
          try:
              handler = magic_router[self.magic]
          except KeyError:
              raise UnknownMagic("unknown magic command '%s'" % self.magic)
  
          return handler(*self.rest)
  
  
  def parse_code_into_nodes(code):
      nodes = []
      try:
          nodes.append(NormalNode(code))
      except SyntaxError:
          # It's possible we hit a syntax error because of a magic command. Split the code groups
          # of 'normal code', and code that starts with a '%'. possibly magic code
          # lines, and see if any of the lines
          # Remove lines until we find a node that parses, then check if the next line is a magic
          # line
          # .
  
          # Split the code into chunks of normal code, and possibly magic code, which starts with
          # a '%'.
  
          normal = []
          chunks = []
          for i, line in enumerate(code.rstrip().split('\n')):
              if line.startswith('%'):
                  if normal:
                      chunks.append('\n'.join(normal))
                      normal = []
  
                  chunks.append(line)
              else:
                  normal.append(line)
  
          if normal:
              chunks.append('\n'.join(normal))
  
          # Convert the chunks into AST nodes. Let exceptions propagate.
          for chunk in chunks:
              if chunk.startswith('%'):
                  nodes.append(MagicNode(chunk))
              else:
                  nodes.append(NormalNode(chunk))
  
      return nodes
  
  
  def execute_request(content):
      try:
          code = content['code']
      except KeyError:
          return execute_reply_internal_error(
              'Malformed message: content object missing "code"', sys.exc_info()
          )
  
      try:
          nodes = parse_code_into_nodes(code)
      except SyntaxError:
          exc_type, exc_value, tb = sys.exc_info()
          return execute_reply_error(exc_type, exc_value, None)
  
      result = None
  
      try:
          for node in nodes:
              result = node.execute()
      except UnknownMagic:
          exc_type, exc_value, tb = sys.exc_info()
          return execute_reply_error(exc_type, exc_value, None)
      except ExecutionError as e:
          return execute_reply_error(*e.exc_info)
  
      if result is None:
          result = {}
  
      stdout = sys.stdout.getvalue()
      stderr = sys.stderr.getvalue()
  
      clearOutputs()
  
      output = result.pop('text/plain', '')
  
      if stdout:
          output += stdout
  
      if stderr:
          output += stderr
  
      output = output.rstrip()
  
      # Only add the output if it exists, or if there are no other mimetypes in the result.
      if output or not result:
          result['text/plain'] = output.rstrip()
  
      return execute_reply_ok(result)
  
  
  def magic_table_convert(value):
      try:
          converter = magic_table_types[type(value)]
      except KeyError:
          converter = magic_table_types[str]
  
      return converter(value)
  
  
  def magic_table_convert_seq(items):
      last_item_type = None
      converted_items = []
  
      for item in items:
          item_type, item = magic_table_convert(item)
  
          if last_item_type is None:
              last_item_type = item_type
          elif last_item_type != item_type:
              raise ValueError('value has inconsistent types')
  
          converted_items.append(item)
  
      return 'ARRAY_TYPE', converted_items
  
  
  def magic_table_convert_map(m):
      last_key_type = None
      last_value_type = None
      converted_items = {}
  
      for key, value in m:
          key_type, key = magic_table_convert(key)
          value_type, value = magic_table_convert(value)
  
          if last_key_type is None:
              last_key_type = key_type
          elif last_value_type != value_type:
              raise ValueError('value has inconsistent types')
  
          if last_value_type is None:
              last_value_type = value_type
          elif last_value_type != value_type:
              raise ValueError('value has inconsistent types')
  
          converted_items[key] = value
  
      return 'MAP_TYPE', converted_items
  
  
  magic_table_types = {
      type(None): lambda x: ('NULL_TYPE', x),
      bool: lambda x: ('BOOLEAN_TYPE', x),
      int: lambda x: ('INT_TYPE', x),
      float: lambda x: ('DOUBLE_TYPE', x),
      str: lambda x: ('STRING_TYPE', str(x)),
      datetime.date: lambda x: ('DATE_TYPE', str(x)),
      datetime.datetime: lambda x: ('TIMESTAMP_TYPE', str(x)),
      decimal.Decimal: lambda x: ('DECIMAL_TYPE', str(x)),
      tuple: magic_table_convert_seq,
      list: magic_table_convert_seq,
      dict: magic_table_convert_map,
  }
  
  # python 2.x only
  if sys.version < '3':
      magic_table_types.update({
          long: lambda x: ('BIGINT_TYPE', x),
          unicode: lambda x: ('STRING_TYPE', x.encode('utf-8'))
      })
  
  
  
  def magic_table(name):
      try:
          value = global_dict[name]
      except KeyError:
          exc_type, exc_value, tb = sys.exc_info()
          return execute_reply_error(exc_type, exc_value, None)
  
      if not isinstance(value, (list, tuple)):
          value = [value]
  
      headers = {}
      data = []
  
      for row in value:
          cols = []
          data.append(cols)
          
          if 'Row' == row.__class__.__name__:
              row = row.asDict()
  
          if not isinstance(row, (list, tuple, dict)):
              row = [row]
  
          if isinstance(row, (list, tuple)):
              iterator = enumerate(row)
          else:
              iterator = sorted(row.items())
  
          for name, col in iterator:
              col_type, col = magic_table_convert(col)
  
              try:
                  header = headers[name]
              except KeyError:
                  header = {
                      'name': str(name),
                      'type': col_type,
                  }
                  headers[name] = header
              else:
                  # Reject columns that have a different type. (allow none value)
                  if col_type != "NULL_TYPE" and header['type'] != col_type:
                      if header['type'] == "NULL_TYPE":
                          header['type'] = col_type
                      else:
                          exc_type = Exception
                          exc_value = 'table rows have different types'
                          return execute_reply_error(exc_type, exc_value, None)
  
              cols.append(col)
  
      headers = [v for k, v in sorted(headers.items())]
  
      return {
          'application/vnd.livy.table.v1+json': {
              'headers': headers,
              'data': data,
          }
      }
  
  
  def magic_json(name):
      try:
          value = global_dict[name]
      except KeyError:
          exc_type, exc_value, tb = sys.exc_info()
          return execute_reply_error(exc_type, exc_value, None)
  
      return {
          'application/json': value,
      }
  
  def magic_matplot(name):
      try:
          value = global_dict[name]
          fig = value.gcf()
          imgdata = io.BytesIO()
          fig.savefig(imgdata, format='png')
          imgdata.seek(0)
          encode = base64.b64encode(imgdata.getvalue())
          if sys.version >= '3':
              encode = encode.decode()
  
      except:
          exc_type, exc_value, tb = sys.exc_info()
          return execute_reply_error(exc_type, exc_value, None)
  
      return {
          'image/png': encode,
          'text/plain': "",
      }
  
  def shutdown_request(_content):
      sys.exit()
  
  
  magic_router = {
      'table': magic_table,
      'json': magic_json,
      'matplot': magic_matplot,
  }
  
  msg_type_router = {
      'execute_request': execute_request,
      'shutdown_request': shutdown_request,
  }
  
  class UnicodeDecodingStringIO(io.StringIO):
      def write(self, s):
          if isinstance(s, bytes):
              s = s.decode("utf-8")
          super(UnicodeDecodingStringIO, self).write(s)
  
  
  def clearOutputs():
      sys.stdout.close()
      sys.stderr.close()
      sys.stdout = UnicodeDecodingStringIO()
      sys.stderr = UnicodeDecodingStringIO()
  
  
  def main():
      sys_stdin = sys.stdin
      sys_stdout = sys.stdout
      sys_stderr = sys.stderr
  
      if sys.version >= '3':
          sys.stdin = io.StringIO()
      else:
          sys.stdin = cStringIO.StringIO()
  
      sys.stdout = UnicodeDecodingStringIO()
      sys.stderr = UnicodeDecodingStringIO()
  
      spark_major_version = os.getenv("LIVY_SPARK_MAJOR_VERSION")
      try:
          listening_port = 0
          if os.environ.get("LIVY_TEST") != "true":
              #Load spark into the context
              exec('from pyspark.sql import HiveContext', global_dict)
              exec('from pyspark.streaming import StreamingContext', global_dict)
              exec('import pyspark.cloudpickle as cloudpickle', global_dict)
  
              from py4j.java_gateway import java_import, JavaGateway, GatewayClient
              from pyspark.conf import SparkConf
              from pyspark.context import SparkContext
              from pyspark.sql import SQLContext, HiveContext, Row
              # Connect to the gateway
              gateway_port = int(os.environ["PYSPARK_GATEWAY_PORT"])
              gateway = JavaGateway(GatewayClient(port=gateway_port), auto_convert=True)
  
              # Import the classes used by PySpark
              java_import(gateway.jvm, "org.apache.spark.SparkConf")
              java_import(gateway.jvm, "org.apache.spark.api.java.*")
              java_import(gateway.jvm, "org.apache.spark.api.python.*")
              java_import(gateway.jvm, "org.apache.spark.mllib.api.python.*")
              java_import(gateway.jvm, "org.apache.spark.sql.*")
              java_import(gateway.jvm, "org.apache.spark.sql.hive.*")
              java_import(gateway.jvm, "scala.Tuple2")
  
              jsc = gateway.entry_point.sc()
              jconf = gateway.entry_point.sc().getConf()
              jsqlc = gateway.entry_point.hivectx() if gateway.entry_point.hivectx() is not None \
                  else gateway.entry_point.sqlctx()
  
              conf = SparkConf(_jvm = gateway.jvm, _jconf = jconf)
              sc = SparkContext(jsc=jsc, gateway=gateway, conf=conf)
              global_dict['sc'] = sc
              sqlc = SQLContext(sc, jsqlc)
              global_dict['sqlContext'] = sqlc
  
              if spark_major_version >= "2":
                  from pyspark.sql import SparkSession
                  spark_session = SparkSession(sc, gateway.entry_point.sparkSession())
                  global_dict['spark'] = spark_session
              else:
                  # LIVY-294, need to check whether HiveContext can work properly,
                  # fallback to SQLContext if HiveContext can not be initialized successfully.
                  # Only for spark-1.
                  code = textwrap.dedent("""
                      import py4j
                      from pyspark.sql import SQLContext
                      try:
                        sqlContext.tables()
                      except py4j.protocol.Py4JError:
                        sqlContext = SQLContext(sc)""")
                  exec(code, global_dict)
  
              #Start py4j callback server
              from py4j.protocol import ENTRY_POINT_OBJECT_ID
              from py4j.java_gateway import JavaGateway, GatewayClient, CallbackServerParameters
  
              gateway_client_port = int(os.environ.get("PYSPARK_GATEWAY_PORT"))
              gateway = JavaGateway(GatewayClient(port=gateway_client_port))
              gateway.start_callback_server(
                  callback_server_parameters=CallbackServerParameters(port=0))
              socket_info = gateway._callback_server.server_socket.getsockname()
              listening_port = socket_info[1]
              pyspark_job_processor = PySparkJobProcessorImpl()
              gateway.gateway_property.pool.dict[ENTRY_POINT_OBJECT_ID] = pyspark_job_processor
  
              global local_tmp_dir_path, job_context
              local_tmp_dir_path = tempfile.mkdtemp()
              job_context = JobContextImpl()
  
          print(sys.stdout.getvalue(), file=sys_stderr)
          print(sys.stderr.getvalue(), file=sys_stderr)
  
          clearOutputs()
  
          print('READY(port=' + str(listening_port) + ')', file=sys_stdout)
          sys_stdout.flush()
  
          while True:
              line = sys_stdin.readline()
  
              if line == '':
                  break
              elif line == '\n':
                  continue
  
              try:
                  msg = json.loads(line)
              except ValueError:
                  LOG.error('failed to parse message', exc_info=True)
                  continue
  
              try:
                  msg_type = msg['msg_type']
              except KeyError:
                  LOG.error('missing message type', exc_info=True)
                  continue
  
              try:
                  content = msg['content']
              except KeyError:
                  LOG.error('missing content', exc_info=True)
                  continue
  
              if not isinstance(content, dict):
                  LOG.error('content is not a dictionary')
                  continue
  
              try:
                  handler = msg_type_router[msg_type]
              except KeyError:
                  LOG.error('unknown message type: %s', msg_type)
                  continue
  
              response = handler(content)
  
              try:
                  response = json.dumps(response)
              except ValueError:
                  response = json.dumps({
                      'msg_type': 'inspect_reply',
                      'content': {
                          'status': 'error',
                          'ename': 'ValueError',
                          'evalue': 'cannot json-ify %s' % response,
                          'traceback': [],
                      }
                  })
  
              print(response, file=sys_stdout)
              sys_stdout.flush()
      finally:
          if os.environ.get("LIVY_TEST") != "true" and 'sc' in global_dict:
              gateway.shutdown_callback_server()
              shutil.rmtree(local_tmp_dir_path)
              global_dict['sc'].stop()
  
          sys.stdin = sys_stdin
          sys.stdout = sys_stdout
          sys.stderr = sys_stderr
  
  if __name__ == '__main__':
      sys.exit(main())
  