Generally-useful YAML and EYAML tools employing a human-friendly YAML Path
Project description
YAML Path and Command-Line Tools
Contents:
- Introduction
- Installing
- Supported YAML Path Forms
- Based on ruamel.yaml and Python 3
- The Files of This Project
- Basic Usage
Introduction
This project presents and utilizes YAML Paths, which are a human-friendly means of identifying one or more nodes within a YAML or EYAML data structure. The libraries (modules) and several sample command-line tool implementations are provided (discussed later).
To illustrate some YAML Path capabilities, review this sample YAML data:
---
# Sample YAML data
aliases:
- &commonUsername username
- &commonPassword 5uP3r 53kr17 P@55\/\/0rD
configuration::application:
'general.settings':
slash\key: ENC[some-lengthy-EYAML-value]
'a.dotted.subkey':
- element1
- element2
- element3
sensitive::accounts:
database:
app_user: *commonUsername
app_pass: *commonPassword
application:
db:
users:
- name: admin
pass: 1s0L@73d @cC0u|\|7
access_level: 0
- name: *commonUsername
pass: *commonPassword
access_level: 500
This YAML data sample contains these single-result YAML Paths:
aliases[&commonUsername]
aliases[&commonPassword]
configuration::application.'general.settings'.slash\\key
configuration::application.'general.settings'.'a.dotted.subkey'[0]
configuration::application.'general.settings'.'a.dotted.subkey'[1]
configuration::application.'general.settings'.'a.dotted.subkey'[2]
sensitive::accounts.database.app_user
sensitive::accounts.database.app_pass
sensitive::accounts.application.db.users[0].name
sensitive::accounts.application.db.users[0].pass
sensitive::accounts.application.db.users[0].access_level
sensitive::accounts.application.db.users[1].name
sensitive::accounts.application.db.users[1].pass
sensitive::accounts.application.db.users[1].access_level
You could also access some of these sample nodes using search expressions, like:
sensitive::accounts.application.db.users[name=admin].access_level
sensitive::accounts.application.db.users[access_level<500].name
Supported YAML Path Forms
YAML Path understands these forms:
- Array element selection:
array[#]
(where#
is the 0-based element number) - Dot notation for Hash data structure sub-keys:
hash.child.key
- Demarcation for dotted Hash keys:
hash.'dotted.child.key'
orhash."dotted.child.key"
- Escape symbol recognition:
hash.dotted\.child\.key
orkeys_with_\\slashes
- Top-level (Hash) Anchor lookups:
&anchor_name
- Anchor lookups in Arrays:
aliases[&anchor_name]
- Hash attribute searches (which can return zero or more matches):
- Exact match:
sensitive::accounts.application.db.users[name=admin].pass
- Starts With match:
sensitive::accounts.application.db.users[name^adm].pass
- Ends With match:
sensitive::accounts.application.db.users[name$min].pass
- Contains match:
sensitive::accounts.application.db.users[name%dmi].pass
- Less Than match:
sensitive::accounts.application.db.users[access_level<500].pass
- Greater Than match:
sensitive::accounts.application.db.users[access_level>0].pass
- Less Than or Equal match:
sensitive::accounts.application.db.users[access_level<=100].pass
- Greater Than or Equal match:
sensitive::accounts.application.db.users[access_level>=0].pass
- Regular Expression matches using any delimiter you choose (other than
/
, if you need something else):sensitive::accounts.application.db.users[access_level=~/^\D+$/].pass
- Invert any match with
!
, like:sensitive::accounts.application.db.users[name!=admin].pass
- Demarcate and/or escape expression values, like:
sensitive::accounts.application.db.users[full\ name="Some User\'s Name"].pass
- Multi-level matching:
sensitive::accounts.application.db.users[name%admin].pass[encrypted!^ENC\[]
- Exact match:
- Hash key-name searches with all search methods above by using
.
(yields their values, not the keys themselves):sensitive::accounts.database[.^app_]
- Complex combinations:
some::deep.hierarchy[with!=""].'any.valid'[.$yaml][data%structure].or.[!complexity=~/^.{4}$/][2]
Installing
This project requires Python 3.6. Most operating
systems and distributions have access to Python 3 even if only Python 2 came
pre-installed. It is generally safe to have more than one version of Python on
your system at the same time. Each version of Python uses a unique binary name
as well as different library and working directories, like python2.7
versus
python3.6
. Further, each often provides symlinks like python
(usually for
Python 2) and python3
, respectively.
This project runs on all operating systems and distributions where Python 3.6 and project dependencies are able to run. While the documentation examples here are presented in Linux/OSX shell form, the same commands can be used on Windows with minor adjustment. Cygwin users are also able to enjoy this project.
Each published version of this project can be installed from
PyPI using pip
. Note that on systems with more than one
version of Python, you will probably need to use pip3
, or equivalent (e.g.:
Cygwin users may need to use pip3.6
).
pip3 install yamlpath
Based on ruamel.yaml and Python 3
In order to support the best available YAML editing capability (so called, round-trip editing with support for comment preservation), this project is based on ruamel.yaml for Python 3.6. While ruamel.yaml is based on PyYAML -- Python's "standard" YAML library -- ruamel.yaml is objectively better than PyYAML.
Should PyYAML ever merge with -- or at least, catch up with -- ruamel.yaml, this project can be (lightly) adapted to depend on it, instead:
Compatible ruamel.yaml Versions
At the time of this writing, ruamel.yaml is unstable, presently undergoing a refactoring and feature creation effort. As it is a moving target, this project is necessarily bound to limited ranges of compatible versions between it and the ruamel.yaml project. Futher, this project comes with fixes to some notable bugs in ruamel.yaml. As such, you should note which specific versions of ruamel.yaml which this code is compatible with. Failing to do so will probably lead to some incompatbility.
This list will not be aggressively updated but rather, from time to time as in/compatibility reports come in from users of this project. At present, known and tested compatible versions include:
YAML Path Version | ruamel.yaml Min | Max |
---|---|---|
1.0.x | 0.15.92 | 0.15.94 |
You may find other compatible versions outside these ranges. If you do, please drop a note so this table can be updated!
The Files of This Project
This repository contains:
- Generally-useful Python library files. These contain the reusable core of this project's YAML Path capabilities.
- Some implementations of those libraries, exhibiting their capabilities and simple-to-use APIs.
- Various support, documentation, and build files.
Command-Line Tools
This project provides some command-line tool implementations which utilize these YAML Path libraries:
- eyaml-rotate-keys -- Rotates the encryption keys used for all EYAML values within a set of YAML files, decrypting with old keys and re-encrypting using replacement keys.
- yaml-get -- Retrieves one or more values from a YAML file at a specified YAML Path. Output is printed to STDOUT, one line per match. When a result is a complex data-type (Array or Hash), a Python-compatible dump is produced to represent the entire complex result. EYAML can be employed to decrypt the values.
- yaml-set -- Changes one or more values in a YAML file at a specified YAML Path. Matched values can be checked before they are replaced to mitigate accidental change. When matching singular results, the value can be archived to another key before it is replaced. Further, EYAML can be employed to encrypt the new values and/or decrypt old values before checking them.
Libraries
While there are several supporting library files like enumerations and exceptions, the most interesting library files include:
- parser.py The core YAML Path parser logic.
- yamlpath.py -- A collection of generally-useful YAML methods that enable easily setting and retrieving values via YAML Paths.
- eyamlpath.py -- Extends the YAMLPath class to support EYAML data encryption and decryption.
Basic Usage
The files of this project can be used either as command-line tools -- to take advantage of the existing example implementations -- or as libraries to supplement your own implementations.
Basic Usage: Command-Line Tools
The command-line tools are self-documented. Simply pass --help
to them in
order to obtain detailed documentation. Here are some simple examples of their
typical use-cases.
Rotate Your EYAML Keys
If the eyaml command is already on your PATH:
eyaml-rotate-keys \
--oldprivatekey=~/old-keys/private_key.pkcs7.pem \
--oldpublickey=~/old-keys/public_key.pkcs7.pem \
--newprivatekey=~/new-keys/private_key.pkcs7.pem \
--newpublickey=~/new-keys/public_key.pkcs7.pem \
my_1st_yaml_file.yaml my_2nd_yaml_file.eyaml ... my_Nth_yaml_file.yaml
You could combine this with find
and xargs
if your E/YAML file are
dispersed through a directory hierarchy.
Get a YAML Value
At its simplest:
yaml-get --query=see.documentation.above.for.many.samples my_yaml_file.yaml
Change a YAML Value
For a no-frills change to a YAML file with deeply nested Hash structures:
yaml-set \
--change=see.documentation.above.for.many.samples \
--value="New Value" \
my_yaml_file.yaml
Save a backup copy of the original YAML_FILE (with a .bak file-extension):
yaml-set \
--change=see.documentation.above.for.many.samples \
--value="New Value" \
--backup \
my_yaml_file.yaml
To rotate a password, preserving the old password perhaps so your automation can apply the new password to your application(s):
yaml-set \
--change=the.new.password \
--saveto=the.old.password \
--value="New Password" \
--backup \
my_yaml_file.yaml
To check the old password before rotating it, say to be sure you're changing out the right one:
yaml-set \
--change=the.new.password \
--saveto=the.old.password \
--check="Old Password" \
--value="New Password" \
--backup \
my_yaml_file.yaml
This tool will create the --change
within your YAML_FILE if it doesn't already
exist. This may not always be ideal, perhaps when you need to be absolutely
certain that you're editing the right YAML_FILEs and/or have --change
set
correctly. In such cases, you can add --mustexist
to disallow creating any
missing --change
YAML Paths:
yaml-set \
--change=the.new.password \
--mustexist \
--saveto=the.old.password \
--check="Old Password" \
--value="New Password" \
--backup \
my_yaml_file.yaml
You can also add EYAML encryption (assuming the eyaml
command is on your
PATH; if not, you can pass --eyaml
to specify its location). In this example,
I add the optional --format=folded
for this example so that the long EYAML
value is broken up into a multi-line value rather than one very long string.
This is the preferred format for EYAML consumers like Puppet. Note that
--format
has several other settings and applies only to new values.
yaml-set \
--change=the.new.password \
--mustexist \
--saveto=the.old.password \
--check="Old Password" \
--value="New Password" \
--eyamlcrypt \
--format=folded \
--backup \
my_yaml_file.yaml
You can even tell EYAML which keys to use:
yaml-set \
--change=the.new.password \
--mustexist \
--saveto=the.old.password \
--check="Old Password" \
--value="New Password" \
--eyamlcrypt \
--format=folded \
--privatekey=/secret/keys/private_key.pkcs7.pem \
--publickey=/secret/keys/public_key.pkcs7.pem \
--backup \
my_yaml_file.yaml
Note that for even greater security scenarios, you can keep the new value off of
your command-line, process list, and command history by swapping out --value
for one of --stdin
, --file
, or even --random LENGTH
(use Python's
strongest random value generator if you don't need to specify the replacement
value in advance).
Basic Usage: Libraries
As for the libraries, they are also heavily documented and the example implementations may perhaps serve as good copy-paste fodder (provided you give credit to the source). That said, here's a general flow/synopsis.
Initialize ruamel.yaml and These Helpers
Your preferences may differ, but I use this setup for round-trip YAML parsing
and editing with ruamel.yaml. I also use EYAMLPath
in virtually all cases
rather than YAMLPath
, but you can do the opposite if you are absolutely
certain that your data will never be EYAML encrypted.
Note that import yamlpath.patches
is entirely optional; I wrote and use it to
block ruamel.yaml's Emitter from injecting unnecessary newlines into folded
values (it improperly converts every single new-line into two for left-flushed
multi-line values, at the time of this writing). Since block output EYAML
values are left-flushed multi-line folded strings, this fix is necessary when
using EYAML features.
Note also that these examples use ConsolePrinter
to handle STDOUT and STDERR
messaging. You don't have to. However, some kind of logger must be passed to
these libraries so they can write messages somewhere. Your custom message
handler or logger must provide the same API as ConsolePrinter; review the header
documentation in consoleprinter.py for
details. Generally speaking, it would be trivial to write your own custom
wrapper for Python's standard logger facility for your own implementations which
may need to write to your operating system's central logging facility or even to
log files.
import sys
from ruamel.yaml import YAML
from ruamel.yaml.parser import ParserError
from yamlpath.exceptions import YAMLPathException
from yamlpath.eyaml import EYAMLPath
from yamlpath.enums import YAMLValueFormats
import yamlpath.patches
from yamlpath.wrappers import ConsolePrinter
# Process command-line arguments, initialize the output writer and the YAMLPath
# processor.
args = processcli()
log = ConsolePrinter(args)
processor = EYAMLPath(log)
# Prep the YAML parser
yaml = YAML()
yaml.indent(mapping=2, sequence=4, offset=2)
yaml.explicit_start = True
yaml.preserve_quotes = True
yaml.width = sys.maxsize
# At this point, you'd load or parse your YAML file, stream, or string. When
# loading from file, I typically follow this pattern:
try:
with open(args.yaml_file, 'r') as f:
yaml_data = yaml.load(f)
except ParserError as e:
log.error("YAML parsing error {}: {}".format(str(e.problem_mark).lstrip(), e.problem))
Searching for YAML Nodes
These libraries use Generators to get
nodes from parsed YAML data. Identify which node(s) to get via
YAML Path strings. You should also catch YAMLPathException
s
unless you prefer Python's native stack traces. Whether you are working with a
single result or many, you must consume the Generator output with a pattern
similar to:
yaml_path = "see.documentation.above.for.many.samples"
try:
for node in yh.get_eyaml_values(yaml_data, yaml_path):
# These Generators can return None, which means a node wasn't found but
# because searches are recursive and can be multi-tier, the non-matching
# leaf nodes can be encountered anywhere during the search, not only at
# the very end.
if node is None:
continue
log.debug("Got {} from {}.".format(node, yaml_path))
# Do something with each node...
except YAMLPathException as ex:
log.error(ex, 1)
Changing Values
At its simplest, you simply need to supply the pre-parsed YAML data, the YAML
Path to one or more nodes to update, and the value to apply to them. Catching
YAMLPathException
is optional but usually preferred over allowing Python to
dump the call stack in front of your users.
try:
yh.set_value(yaml_data, yaml_path, new_value)
except YAMLPathException as ex:
log.error(ex, 1)
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