2shou

# coding: utf-8

import sys
import jieba
import numpy
from sklearn import metrics
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.naive_bayes import MultinomialNB

2shou

# coding: utf-8
# __author__ = 'zhangguoze'

import sys
import jieba

from libshorttext.libshorttext.analyzer import *
from libshorttext.libshorttext.classifier import *
from libshorttext.libshorttext.converter import *

2shou

# coding: utf-8

from TCLIService import TCLIService
from TCLIService.ttypes import TOpenSessionReq, TGetTablesReq, TFetchResultsReq, \
    TStatusCode, TGetResultSetMetadataReq, TGetColumnsReq, TType, TTypeId, \
    TExecuteStatementReq, TGetOperationStatusReq, TFetchOrientation, TCloseOperationReq, \
    TCloseSessionReq, TGetSchemasReq, TCancelOperationReq, THandleIdentifier, \
    TOperationHandle, TOperationState

from thrift import Thrift

2shou

import org.apache.spark.{SparkConf, SparkContext}

object LogExtract {

  val keys = Array[String]("dn", "stm", "ev_ac", "v_title", "v_uri", "pg_url")
  val notBlankKeys = Array[String]("dn", "stm", "ev_ac", "pg_url")
  val filterRegex = ".*(ac_pl`|ac_dl`).*"
  val useCompress = false

  def process(line: String): String = {

2shou

# coding: utf-8

# command example:
#   $ spark-submit spark_log_extract.py \
#   --name test \
#   --notblankkeys dn,stm,ev_ac,pg_url \
#   --filterregex ".*(=ac_pl\`|=ac_dl\`).*" \
#   --usegzip \
#   /path/to/source \
#   /path/to/atom \

2shou

from scrapy.contrib.exporter import BaseItemExporter
from scrapy import signals, log
from pipeline_base import StorePipeline
from os.path import join


class CustomItemExporter(BaseItemExporter):

    def __init__(self, file, **kwargs):
        self._configure(kwargs, dont_fail=True)