222 lines
7.3 KiB
Python
Raw Normal View History

2010-07-12 17:03:45 -05:00
# -*- coding: utf-8 -*-
# Copyright (c) 2010-2012 OpenStack Foundation.
2010-07-12 17:03:45 -05:00
#
# Swift documentation build configuration file, created by
# sphinx-quickstart on Tue May 18 13:50:15 2010.
#
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
# This file is execfile()d with the current directory set to its containing
# dir.
2010-07-12 17:03:45 -05:00
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
import sys
import os
import datetime
2010-07-12 17:03:45 -05:00
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
sys.path.extend([os.path.abspath('../swift'), os.path.abspath('..'),
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
os.path.abspath('../bin')])
2010-07-12 17:03:45 -05:00
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
# -- General configuration ----------------------------------------------------
2010-07-12 17:03:45 -05:00
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.intersphinx',
'sphinx.ext.todo', 'sphinx.ext.coverage', 'sphinx.ext.pngmath',
'sphinx.ext.ifconfig']
todo_include_todos = True
2010-07-12 17:03:45 -05:00
# Add any paths that contain templates here, relative to this directory.
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
# Changing the path so that the Hudson build output contains GA code and the
# source docs do not contain the code so local, offline sphinx builds are
# "clean."
templates_path = []
if os.getenv('HUDSON_PUBLISH_DOCS'):
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
templates_path = ['_ga', '_templates']
else:
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
templates_path = ['_templates']
2010-07-12 17:03:45 -05:00
# The suffix of source filenames.
source_suffix = '.rst'
# The encoding of source files.
#source_encoding = 'utf-8'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = u'Swift'
copyright = u'%d, OpenStack Foundation' % datetime.datetime.now().year
2010-07-12 17:03:45 -05:00
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
from swift import __version__
version = __version__.rsplit('.', 1)[0]
2010-07-12 17:03:45 -05:00
# The full version, including alpha/beta/rc tags.
release = __version__
2010-07-12 17:03:45 -05:00
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#today = ''
# Else, today_fmt is used as the format for a strftime call.
#today_fmt = '%B %d, %Y'
# List of documents that shouldn't be included in the build.
#unused_docs = []
# List of directories, relative to source directory, that shouldn't be searched
# for source files.
exclude_trees = []
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
# The reST default role (used for this markup: `text`) to use for all
# documents.
2010-07-12 17:03:45 -05:00
#default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
show_authors = True
2010-07-12 17:03:45 -05:00
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
modindex_common_prefix = ['swift.']
2010-07-12 17:03:45 -05:00
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
# -- Options for HTML output -----------------------------------------------
2010-07-12 17:03:45 -05:00
# The theme to use for HTML and HTML Help pages. Major themes that come with
# Sphinx are currently 'default' and 'sphinxdoc'.
2010-11-12 12:54:07 -06:00
# html_theme = 'default'
html_theme_path = ["."]
html_theme = '_theme'
2010-07-12 17:03:45 -05:00
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#html_theme_options = {}
# Add any paths that contain custom themes here, relative to this directory.
#html_theme_path = []
# The name for this set of Sphinx documents. If None, it defaults to
# "<project> v<release> documentation".
#html_title = None
# A shorter title for the navigation bar. Default is the same as html_title.
#html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#html_logo = None
# The name of an image file (within the static path) to use as favicon of the
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
#html_last_updated_fmt = '%b %d, %Y'
git_cmd = "git log --pretty=format:'%ad, commit %h' --date=local -n1"
html_last_updated_fmt = os.popen(git_cmd).read()
2010-07-12 17:03:45 -05:00
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#html_additional_pages = {}
# If false, no module index is generated.
#html_use_modindex = True
# If false, no index is generated.
#html_use_index = True
# If true, the index is split into individual pages for each letter.
#html_split_index = False
# If true, links to the reST sources are added to the pages.
#html_show_sourcelink = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#html_use_opensearch = ''
# If nonempty, this is the file name suffix for HTML files (e.g. ".xhtml").
#html_file_suffix = ''
# Output file base name for HTML help builder.
htmlhelp_basename = 'swiftdoc'
2010-07-12 17:03:45 -05:00
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
# -- Options for LaTeX output -------------------------------------------------
2010-07-12 17:03:45 -05:00
# The paper size ('letter' or 'a4').
#latex_paper_size = 'letter'
# The font size ('10pt', '11pt' or '12pt').
#latex_font_size = '10pt'
# Grouping the document tree into LaTeX files. List of tuples
Adding StatsD logging to Swift. Documentation, including a list of metrics reported and their semantics, is in the Admin Guide in a new section, "Reporting Metrics to StatsD". An optional "metric prefix" may be configured which will be prepended to every metric name sent to StatsD. Here is the rationale for doing a deep integration like this versus only sending metrics to StatsD in middleware. It's the only way to report some internal activities of Swift in a real-time manner. So to have one way of reporting to StatsD and one place/style of configuration, even some things (like, say, timing of PUT requests into the proxy-server) which could be logged via middleware are consistently logged the same way (deep integration via the logger delegate methods). When log_statsd_host is configured, get_logger() injects a swift.common.utils.StatsdClient object into the logger as logger.statsd_client. Then a set of delegate methods on LogAdapter either pass through to the StatsdClient object or become no-ops. This allows StatsD logging to look like: self.logger.increment('some.metric.here') and do the right thing in all cases and with no messy conditional logic. I wanted to use the pystatsd module for the StatsD client, but the version on PyPi is lagging the git repo (and is missing both the prefix functionality and timing_since() method). So I wrote my swift.common.utils.StatsdClient. The interface is the same as pystatsd.Client, but the code was written from scratch. It's pretty simple, and the tests I added cover it. This also frees Swift from an optional dependency on the pystatsd module, making this feature easier to enable. There's test coverage for the new code and all existing tests continue to pass. Refactored out _one_audit_pass() method in swift/account/auditor.py and swift/container/auditor.py. Fixed some misc. PEP8 violations. Misc test cleanups and refactorings (particularly the way "fake logging" is handled). Change-Id: Ie968a9ae8771f59ee7591e2ae11999c44bfe33b2
2012-04-01 16:47:08 -07:00
# (source start file, target name, title, author, documentclass
# [howto/manual]).
2010-07-12 17:03:45 -05:00
latex_documents = [
('index', 'Swift.tex', u'Swift Documentation',
u'Swift Team', 'manual'),
2010-07-12 17:03:45 -05:00
]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#latex_use_parts = False
# Additional stuff for the LaTeX preamble.
#latex_preamble = ''
# Documents to append as an appendix to all manuals.
#latex_appendices = []
# If false, no module index is generated.
#latex_use_modindex = True
# Example configuration for intersphinx: refer to the Python standard library.
intersphinx_mapping = {'python': ('http://docs.python.org/', None),
'nova': ('http://nova.openstack.org', None),
'glance': ('http://glance.openstack.org', None)}