Merge "housekeeping: Switch to pytho2 and handle version" from Amnon

This series handle two issues:
* Moving to python2, though python3 is supported, there are modules that we
  need that are not rpm installable, python3 would wait when it will be more
  mature.

* Check version should send the current version when it check for a new one and
  a simple string compare is wrong.

(cherry picked from commit ec62f0d321)

dist/redhat/scylla.spec.in

@@ -30,7 +30,7 @@ URL:            http://www.scylladb.com/
 BuildRequires:  libaio-devel libstdc++-devel cryptopp-devel hwloc-devel numactl-devel libpciaccess-devel libxml2-devel zlib-devel thrift-devel yaml-cpp-devel lz4-devel snappy-devel jsoncpp-devel systemd-devel xz-devel openssl-devel libcap-devel libselinux-devel libgcrypt-devel libgpg-error-devel elfutils-devel krb5-devel libcom_err-devel libattr-devel pcre-devel elfutils-libelf-devel bzip2-devel keyutils-libs-devel xfsprogs-devel make gnutls-devel systemd-devel lksctp-tools-devel
 %{?fedora:BuildRequires: boost-devel ninja-build ragel antlr3-tool antlr3-C++-devel python3 gcc-c++ libasan libubsan python3-pyparsing dnf-yum}
 %{?rhel:BuildRequires: scylla-libstdc++-static scylla-boost-devel scylla-ninja-build scylla-ragel scylla-antlr3-tool scylla-antlr3-C++-devel python34 scylla-gcc-c++ >= 5.1.1, python34-pyparsing}
-Requires:       scylla-conf systemd-libs hwloc collectd PyYAML python-urwid
+Requires:       scylla-conf systemd-libs hwloc collectd PyYAML python-urwid python-pyparsing python-requests
 Conflicts:      abrt
 
 %description server

dist/ubuntu/control.in

@@ -16,7 +16,7 @@ Conflicts: scylla-server (<< 1.1)
 
 Package: scylla-server
 Architecture: amd64
-Depends: ${shlibs:Depends}, ${misc:Depends}, adduser, hwloc-nox, collectd, scylla-conf, python-yaml, python-urwid, python3-requests, @@DEPENDS@@
+Depends: ${shlibs:Depends}, ${misc:Depends}, adduser, hwloc-nox, collectd, scylla-conf, python-yaml, python-urwid, python-requests, @@DEPENDS@@
 Description: Scylla database server binaries 
  Scylla is a highly scalable, eventually consistent, distributed,
  partitioned row DB.