python3-pretty-yaml 16.12.2-1 / usr / lib / python3 / dist-packages / pyaml-16.12.2.egg-info / PKG-INFO

Metadata-Version: 1.1
Name: pyaml
Version: 16.12.2
Summary: PyYAML-based module to produce pretty and readable YAML-serialized data
Home-page: https://github.com/mk-fg/pretty-yaml
Author: Mike Kazantsev
Author-email: mk.fraggod@gmail.com
License: WTFPL
Description: pretty-yaml (or pyaml)
        ======================
        
        PyYAML-based python module to produce pretty and readable YAML-serialized data.
        
        .. contents::
          :backlinks: none
        
        
        Warning
        -------
        
        Prime goal of this module is to produce human-readable output that can be easily
        manipulated and re-used, but maybe with some occasional caveats.
        
        One good example of such "caveat" is that e.g. ``{'foo': '123'}`` will serialize
        to ``foo: 123``, which for PyYAML would be a bug, as 123 will then be read back
        as an integer from that, but here it's a feature.
        
        So please do not rely on the thing to produce output that can always be
        deserialized exactly to what was exported, at least - use PyYAML (e.g. with
        options from the next section) for that.
        
        
        What this module does and why
        -----------------------------
        
        YAML is generally nice and easy format to read *if* it was written by humans.
        
        PyYAML can a do fairly decent job of making stuff readable, and the best
        combination of parameters for such output that I've seen so far is probably this one::
        
          >>> m = [123, 45.67, {1: None, 2: False}, u'some text']
          >>> data = dict(a=u'asldnsa\nasldpáknsa\n', b=u'whatever text', ma=m, mb=m)
          >>> yaml.safe_dump(data, sys.stdout, allow_unicode=True, default_flow_style=False)
          a: 'asldnsa
        
            asldpáknsa
        
            '
          b: whatever text
          ma: &id001
          - 123
          - 45.67
          - 1: null
            2: false
          - some text
          mb: *id001
        
        pyaml tries to improve on that a bit, with the following tweaks:
        
        * Most human-friendly representation options in PyYAML (that I know of) get
          picked as defaults.
        
        * Does not dump "null" values, if possible, replacing these with just empty
          strings, which have the same meaning but reduce visual clutter and are easier
          to edit.
        
        * Dicts, sets, OrderedDicts, defaultdicts, namedtuples, etc are representable
          and get sorted on output (OrderedDicts and namedtuples keep their ordering),
          so that output would be as diff-friendly as possible, and not arbitrarily
          depend on python internals.
        
          It appears that at least recent PyYAML versions also do such sorting for
          python dicts.
        
        * List items get indented, as they should be.
        
        * bytestrings that can't be auto-converted to unicode raise error, as yaml has
          no "binary bytes" (i.e. unix strings) type.
        
        * Attempt is made to pick more readable string representation styles, depending
          on the value, e.g.::
        
            >>> yaml.safe_dump(cert, sys.stdout)
            cert: '-----BEGIN CERTIFICATE-----
        
              MIIH3jCCBcagAwIBAgIJAJi7AjQ4Z87OMA0GCSqGSIb3DQEBCwUAMIHBMRcwFQYD
        
              VQQKFA52YWxlcm9uLm5vX2lzcDEeMBwGA1UECxMVQ2VydGlmaWNhdGUgQXV0aG9y
            ...
        
            >>> pyaml.p(cert):
            cert: |
              -----BEGIN CERTIFICATE-----
              MIIH3jCCBcagAwIBAgIJAJi7AjQ4Z87OMA0GCSqGSIb3DQEBCwUAMIHBMRcwFQYD
              VQQKFA52YWxlcm9uLm5vX2lzcDEeMBwGA1UECxMVQ2VydGlmaWNhdGUgQXV0aG9y
            ...
        
        * "force_embed" option to avoid having &id stuff scattered all over the output
          (which might be beneficial in some cases, hence the option).
        
        * "&id" anchors, if used, get labels from the keys they get attached to,
          not just use meaningless enumerators.
        
        * "string_val_style" option to only apply to strings that are values, not keys,
          i.e::
        
            >>> pyaml.p(data, string_val_style='"')
            key: "value\nasldpáknsa\n"
            >>> yaml.safe_dump(data, sys.stdout, allow_unicode=True, default_style='"')
            "key": "value\nasldpáknsa\n"
        
        * Has an option to add vertical spacing (empty lines) between keys on different
          depths, to make output much more seekable.
        
        Result for the (rather meaningless) example above (without any additional
        tweaks)::
        
          >>> pyaml.p(data)
          a: |
            asldnsa
            asldpáknsa
          b: 'whatever text'
          ma: &ma
            - 123
            - 45.67
            - 1:
              2: false
            - 'some text'
          mb: *ma
        
        ----------
        
        Extended example::
        
          >>> pyaml.dump(conf, sys.stdout, vspacing=[2, 1]):
          destination:
        
            encoding:
              xz:
                enabled: true
                min_size: 5120
                options:
                path_filter:
                  - \.(gz|bz2|t[gb]z2?|xz|lzma|7z|zip|rar)$
                  - \.(rpm|deb|iso)$
                  - \.(jpe?g|gif|png|mov|avi|ogg|mkv|webm|mp[34g]|flv|flac|ape|pdf|djvu)$
                  - \.(sqlite3?|fossil|fsl)$
                  - \.git/objects/[0-9a-f]+/[0-9a-f]+$
        
            result:
              append_to_file:
              append_to_lafs_dir:
              print_to_stdout: true
        
            url: http://localhost:3456/uri
        
        
          filter:
            - /(CVS|RCS|SCCS|_darcs|\{arch\})/$
            - /\.(git|hg|bzr|svn|cvs)(/|ignore|attributes|tags)?$
            - /=(RELEASE-ID|meta-update|update)$
        
        
          http:
        
            ca_certs_files: /etc/ssl/certs/ca-certificates.crt
        
            debug_requests: false
        
            request_pool_options:
              cachedConnectionTimeout: 600
              maxPersistentPerHost: 10
              retryAutomatically: true
        
        
          logging:
        
            formatters:
              basic:
                datefmt: '%Y-%m-%d %H:%M:%S'
                format: '%(asctime)s :: %(name)s :: %(levelname)s: %(message)s'
        
            handlers:
              console:
                class: logging.StreamHandler
                formatter: basic
                level: custom
                stream: ext://sys.stderr
        
            loggers:
              twisted:
                handlers:
                  - console
                level: 0
        
            root:
              handlers:
                - console
              level: custom
        
        Note that unless there are many moderately wide and deep trees of data, which
        are expected to be read and edited by people, it might be preferrable to
        directly use PyYAML regardless, as it won't introduce another (rather pointless
        in that case) dependency and a point of failure.
        
        
        Some Tricks
        -----------
        
        * Pretty-print any yaml or json (yaml subset) file from the shell::
        
            python -m pyaml /path/to/some/file.yaml
            curl -s https://status.github.com/api.json | python -m pyaml
        
        * Easier "debug printf" for more complex data (all funcs below are aliases to
          same thing)::
        
            pyaml.p(stuff)
            pyaml.pprint(my_data)
            pyaml.pprint('----- HOW DOES THAT BREAKS!?!?', input_data, some_var, more_stuff)
            pyaml.print(data, file=sys.stderr) # needs "from __future__ import print_function"
        
        * Force all string values to a certain style (see info on these in
          `PyYAML docs`_)::
        
            pyaml.dump(many_weird_strings, string_val_style='|')
            pyaml.dump(multiline_words, string_val_style='>')
            pyaml.dump(no_want_quotes, string_val_style='plain')
        
          Using ``pyaml.add_representer()`` (note \*p\*yaml) as suggested in
          `this SO thread`_ (or `github-issue-7`_) should also work.
        
        * Control indent and width of the results::
        
            pyaml.dump(wide_and_deep, indent=4, width=120)
        
          These are actually keywords for PyYAML Emitter (passed to it from Dumper),
          see more info on these in `PyYAML docs`_.
        
        .. _PyYAML docs: http://pyyaml.org/wiki/PyYAMLDocumentation#Scalars
        .. _this SO thread: http://stackoverflow.com/a/7445560
        .. _github-issue-7: https://github.com/mk-fg/pretty-yaml/issues/7
        
        
        Installation
        ------------
        
        It's a regular package for Python (3.x or 2.x).
        
        Module uses PyYAML_ for processing of the actual YAML files and should pull it
        in as a dependency.
        
        Dependency on unidecode_ module is optional and should only be necessary if
        same-id objects or recursion is used within serialized data.
        
        Be sure to use python3/python2, pip3/pip2, easy_install-... binaries below,
        based on which python version you want to install the module for, if you have
        several on the system (as is norm these days for py2-py3 transition).
        
        Using pip_ is the best way::
        
          % pip install pyaml
        
        (add --user option to install into $HOME for current user only)
        
        Or, if you don't have "pip" command::
        
          % python -m ensurepip
          % python -m pip install --upgrade pip
          % python -m pip install pyaml
        
        (same suggestion wrt "install --user" as above)
        
        On a very old systems, one of these might work::
        
          % curl https://bootstrap.pypa.io/get-pip.py | python
          % pip install pyaml
        
          % easy_install pyaml
        
          % git clone --depth=1 https://github.com/mk-fg/pretty-yaml
          % cd pretty-yaml
          % python setup.py install
        
        (all of install-commands here also have --user option,
        see also `pip docs "installing" section`_)
        
        Current-git version can be installed like this::
        
          % pip install 'git+https://github.com/mk-fg/pretty-yaml#egg=pyaml'
        
        Note that to install stuff to system-wide PATH and site-packages (without
        --user), elevated privileges (i.e. root and su/sudo) are often required.
        
        Use "...install --user", `~/.pydistutils.cfg`_ or virtualenv_ to do unprivileged
        installs into custom paths.
        
        More info on python packaging can be found at `packaging.python.org`_.
        
        .. _PyYAML: http://pyyaml.org/
        .. _unidecode: http://pypi.python.org/pypi/Unidecode
        .. _pip: http://pip-installer.org/
        .. _pip docs "installing" section: http://www.pip-installer.org/en/latest/installing.html
        .. _~/.pydistutils.cfg: http://docs.python.org/install/index.html#distutils-configuration-files
        .. _virtualenv: http://pypi.python.org/pypi/virtualenv
        .. _packaging.python.org: https://packaging.python.org/installing/
        
Keywords: yaml serialization pretty print format human readable readability
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules