#

# vigigraph - Pylons development environment configuration

#

# The %(here)s variable will be replaced with the parent directory of this file

#

# This file is for deployment specific config options -- other configuration

# that is always required for the app is done in the config directory, 

# and generally should not be modified by end users. 

[DEFAULT]

debug = true

# Uncomment and replace with the address which should receive any error reports

#email_to = you@yourdomain.com

smtp_server = localhost

error_email_from = paste@localhost

[server:main]

use = egg:Paste#http

host = 0.0.0.0 

port = 8082

[app:main]

use = egg:vigigraph

db_basename=vigilo_

;password_hashing_function=md5

lang=fr

use_kerberos=False

full_stack = true

#lang = ru

cache_dir = %(here)s/data

beaker.session.key = vigigraph

beaker.session.secret = somesecret

app.vigicore = /

# URL

rrd_url = http://localhost/rrdgraph

nagios_url = http://localhost/nagios/cgi-bin

# Vigigraph - refresh for graphs ( en millisecondes)

delay_refresh = 5*60*1000

# separateurs pour export CSV

# - entre valeurs consecutives

export_csv_sep_values = ;

# - dans une valeur

export_csv_sep_value = ,

# If you'd like to fine-tune the individual locations of the cache data dirs

# for the Cache data, or the Session saves, un-comment the desired settings

# here:

#beaker.cache.data_dir = %(here)s/data/cache

#beaker.session.data_dir = %(here)s/data/sessions

# pick the form for your database

# %(here) may include a ':' character on Windows environments; this can

# invalidate the URI when specifying a SQLite db via path name

# sqlalchemy.url=postgres://username:password@hostname:port/databasename 

# sqlalchemy.url=mysql://username:password@hostname:port/databasename

# If you have sqlite, here's a simple default to get you started

# in development

sqlalchemy.url=postgres://vigilo:vigilo@localhost/vigilo

#sqlalchemy.url = sqlite:///%(here)s/devdata.db

#echo shouldn't be used together with the logging module.

sqlalchemy.echo = false

sqlalchemy.echo_pool = false

sqlalchemy.pool_recycle = 3600

# if you are using Mako and want to be able to reload

# the mako template from disk during the development phase

# you should say 'true' here

# This option is only used for mako templating engine

# WARNING: if you want to deploy your application using a zipped egg

# (ie: if your application's setup.py defines zip-safe=True, then you

# MUST put "false" for the production environment because there will

# be no disk and real files to compare time with.

# On the contrary if your application defines zip-safe=False and is

# deployed in an unzipped manner, then you can leave this option to true

templating.mako.reloadfromdisk = true

# the compiled template dir is a directory that must be readable by your

# webserver. It will be used to store the resulting templates once compiled

# by the TemplateLookup system.

# During development you generally don't need this option since paste's HTTP

# server will have access to you development directories, but in production

# you'll most certainly want to have apache or nginx to write in a directory

# that does not contain any source code in any form for obvious security reasons.

#

#templating.mako.compiled_templates_dir = /some/dir/where/webserver/has/access

# WARNING: *THE LINE BELOW MUST BE UNCOMMENTED ON A PRODUCTION ENVIRONMENT*

# Debug mode will enable the interactive debugging tool, allowing ANYONE to

# execute malicious code after an exception is raised.

#set debug = false

# Logging configuration

# Add additional loggers, handlers, formatters here

# Uses python's logging config file format

# http://docs.python.org/lib/logging-config-fileformat.html

[loggers]

keys = root, vigigraph, sqlalchemy, auth

[handlers]

keys = console

[formatters]

keys = generic

# If you create additional loggers, add them as a key to [loggers]

[logger_root]

level = INFO

handlers = console

[logger_vigigraph]

level = DEBUG

handlers =

qualname = vigigraph

[logger_sqlalchemy]

level = INFO

handlers =

qualname = sqlalchemy.engine

# "level = INFO" logs SQL queries.

# "level = DEBUG" logs SQL queries and results.

# "level = WARN" logs neither.  (Recommended for production systems.)

# A logger for authentication, identification and authorization -- this is

# repoze.who and repoze.what:

[logger_auth]

level = WARN

handlers = 

qualname = auth

# If you create additional handlers, add them as a key to [handlers]

[handler_console]

class = StreamHandler

args = (sys.stderr,)

level = NOTSET

formatter = generic

# If you create additional formatters, add them as a key to [formatters]

[formatter_generic]

format = %(asctime)s,%(msecs)03d %(levelname)-5.5s [%(name)s] %(message)s

datefmt = %H:%M:%S