- created -webui subpackage

[packages/dspam.git] / dspam.spec

# TODO:
# - support for libdclassify
# - oracle driver
# - messages from default install of cron with mysql driver Memory fault
#
# Conditional build:
%bcond_without	mysql	# disable MySQL storage driver
%bcond_without	pgsql	# disable PostgreSQL storage driver
%bcond_without	sqlite	# disable SQLite3 storage driver
%bcond_without	db	# disable BerkeleyDB storage driver
%bcond_without	daemon	# disable daemon mode
%bcond_with	mysql40 # use with mysql 4.0
#
%include	/usr/lib/rpm/macros.perl
Summary:	A library and Mail Delivery Agent for Bayesian spam filtering
Summary(pl):	Biblioteka i MDA do bayesowskiego filtrowania spamu
Name:		dspam
Version:	3.6.5
Release:	0.14
License:	GPL
Group:		Applications/Mail
Source0:	http://www.nuclearelephant.com/projects/dspam/sources/%{name}-%{version}.tar.gz
# Source0-md5:	da4f0e00633bff49d71fde418caaf14b
Patch0:		%{name}-webui.patch
Source1:	%{name}.init
Source2:	%{name}-apache.conf
URL:		http://www.nuclearelephant.com/projects/dspam/
BuildRequires:	autoconf
BuildRequires:	automake
BuildRequires:	clamav-devel
%{?with_db:BuildRequires:	db-devel}
BuildRequires:	libtool
%{?with_mysql:BuildRequires:	mysql-devel}
BuildRequires:	openldap-devel
%{?with_pgsql:BuildRequires:	postgresql-devel}
BuildRequires:	rpm-perlprov >= 4.1-13
BuildRequires:	rpmbuild(macros) >= 1.268
BuildRequires:	sed >= 4.0
%{?with_sqlite:BuildRequires:	sqlite3-devel}
BuildRequires:	zlib-devel
Requires(post,preun):	/sbin/chkconfig
Requires:	rc-scripts
Buildroot:	%{tmpdir}/%{name}-%{version}-root-%(id -u -n)

%define		_webapps	/etc/webapps
%define		_webapp		%{name}

%description
DSPAM (as in De-Spam) is an open-source project to create a new kind
of anti-spam mechanism, and is currently effective as both a
server-side agent for UNIX email servers and a developer's library for
mail clients, other anti-spam tools, and similar projects requiring
drop-in spam filtering.

The DSPAM agent masquerades as the email server's local delivery agent
and filters/learns spams using an advanced Bayesian statistical
approach (based on Bayes's theorem of combined probabilities) which
provides an administratively maintenance-free, easy-learning Anti-Spam
service custom tailored to each individual user's behavior. Advanced
because on top of standard Bayesian filtering is also incorporated the
use of Chained Tokens, de-obfuscation, and other enhancements. DSPAM
works great with Sendmail and Exim, and should work well with any
other MTA that supports an external local delivery agent (postfix,
qmail, etc.)

%description -l pl