forked from TrueCloudLab/s3-tests
fix comments;remove non-used imports;enable test for projection;using get_client()
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1 changed files with 7 additions and 107 deletions
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@ -1,81 +1,10 @@
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import boto3
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import botocore.session
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from botocore.exceptions import ClientError
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from botocore.exceptions import ParamValidationError
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from nose.tools import eq_ as eq
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from nose.plugins.attrib import attr
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from nose.plugins.skip import SkipTest
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import isodate
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import email.utils
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import datetime
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import threading
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import re
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import pytz
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from collections import OrderedDict
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import requests
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import json
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import base64
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import hmac
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import hashlib
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import xml.etree.ElementTree as ET
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import time
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import operator
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import nose
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import os
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import string
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import random
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import socket
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import ssl
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from email.header import decode_header
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from .utils import assert_raises
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from .utils import generate_random
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from .utils import _get_status_and_error_code
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from .utils import _get_status
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from .policy import Policy, Statement, make_json_policy
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from . import (
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get_client,
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get_prefix,
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get_unauthenticated_client,
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get_bad_auth_client,
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get_v2_client,
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get_new_bucket,
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get_new_bucket_name,
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get_new_bucket_resource,
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get_config_is_secure,
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get_config_host,
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get_config_port,
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get_config_endpoint,
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get_main_aws_access_key,
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get_main_aws_secret_key,
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get_main_display_name,
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get_main_user_id,
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get_main_email,
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get_main_api_name,
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get_alt_aws_access_key,
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get_alt_aws_secret_key,
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get_alt_display_name,
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get_alt_user_id,
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get_alt_email,
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get_alt_client,
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get_tenant_client,
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get_tenant_iam_client,
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get_tenant_user_id,
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get_buckets_list,
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get_objects_list,
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get_main_kms_keyid,
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get_secondary_kms_keyid,
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nuke_prefixed_buckets,
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get_client
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)
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import boto
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import boto.s3.connection
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import sys
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import random
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from botocore.client import Config
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region_name = ''
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# recurssion function for generating arithmetical expression
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@ -126,13 +55,7 @@ def generate_s3select_expression_projection(bucket_name,obj_name):
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res = remove_xml_tags_from_result( run_s3select(bucket_name,obj_name,"select " + e + " from stdin;",) ).replace(",","")
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# accuracy level
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epsilon = float(0.1)
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#debug purpose
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x = (1 - (float(res.split("\n")[1]) / eval( e )) )
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if (x > epsilon):
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print (x)
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print (e)
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epsilon = float(0.000001)
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# both results should be close (epsilon)
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assert (1 - (float(res.split("\n")[1]) / eval( e )) ) < epsilon
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@ -145,14 +68,11 @@ def test_generate_where_clause():
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obj_name = "single_line_csv.csv"
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upload_csv_object(bucket_name,obj_name,single_line_csv)
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for _ in range(10):
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for _ in range(100):
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generate_s3select_where_clause(bucket_name,obj_name)
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def test_generate_projection():
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# skipping until fix for s3select engine accuracy
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return
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# create small csv file for testing the random expressions
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single_line_csv = create_random_csv_object(1,1)
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bucket_name = "test"
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@ -162,17 +82,6 @@ def test_generate_projection():
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for _ in range(100):
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generate_s3select_expression_projection(bucket_name,obj_name)
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def get_connection():
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conn = boto.connect_s3(
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aws_access_key_id = get_main_aws_access_key(),
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aws_secret_access_key = get_main_aws_secret_key(),
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host = get_config_host(),
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port = get_config_port(),
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is_secure=False, # uncomment if you are not using ssl
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calling_format = boto.s3.connection.OrdinaryCallingFormat(),
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)
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return conn
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def create_csv_object_for_datetime(rows,columns):
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result = ""
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@ -199,23 +108,14 @@ def create_random_csv_object(rows,columns,col_delim=",",record_delim="\n",csv_sc
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def upload_csv_object(bucket_name,new_key,obj):
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conn = get_connection()
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conn.create_bucket( bucket_name )
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bucket = conn.get_bucket( bucket_name )
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k1 = bucket.new_key( new_key )
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k1.set_contents_from_string( obj )
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client = get_client()
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client.create_bucket(Bucket=bucket_name)
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client.put_object(Bucket=bucket_name, Key=new_key, Body=obj)
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def run_s3select(bucket,key,query,column_delim=",",row_delim="\n",quot_char='"',esc_char='\\',csv_header_info="NONE"):
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s3 = boto3.client('s3',#'sns',
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endpoint_url=get_config_endpoint(),
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aws_access_key_id=get_main_aws_access_key(),
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region_name=region_name,
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aws_secret_access_key=get_main_aws_secret_key())
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#config=Config(signature_version='v2'))
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s3 = get_client()
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r = s3.select_object_content(
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Bucket=bucket,
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