Skip to main content

Compile and render schema-validated configuration data.

Project description

datazen (3.1.4)

python Build Status codecov PyPI - Status Dependents (via libraries.io)

Compile and render schema-validated configuration data.

Documentation

Generated

Python Version Support

This package is tested with the following Python minor versions:

Platform Support

This package is tested on the following platforms:

  • ubuntu-latest
  • macos-latest
  • windows-latest

Introduction

Good software is composable and configurable, but the complexity of managing configuration data scales with its complexity.

This package simplifies data curation and partitioning for uses in rendering templates, or just rendering final sets of serialized data.

Manifest Schema Reference

Usage

$ ./venv3.11/bin/dz -h

usage: dz [-h] [--version] [-v] [-q] [--curses] [--no-uvloop] [-C DIR]
          [--line-ending {unix,dos,unix}] [-m MANIFEST] [-c] [--sync] [-d]
          [targets ...]

Compile and render schema-validated configuration data.

positional arguments:
  targets               target(s) to execute

options:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  -v, --verbose         set to increase logging verbosity
  -q, --quiet           set to reduce output
  --curses              whether or not to use curses.wrapper when starting
  --no-uvloop           whether or not to disable uvloop as event loop driver
  -C DIR, --dir DIR     execute from a specific directory
  --line-ending {unix,dos,unix}
                        line-ending option to use by default (default: 'unix')
  -m MANIFEST, --manifest MANIFEST
                        manifest to execute tasks from (default:
                        'manifest.yaml')
  -c, --clean           clean the manifest's cache and exit
  --sync                sync the manifest's cache (write-through) with the
                        state of the file system before execution
  -d, --describe        describe the manifest's cache and exit

Manifest Schema

A manifest is provided to datazen to establish the set of targets that should be executed based on defaults or the command-line invocation.

Default Directories

A boolean flag specifying whether or not to load directories relative to the current manifest file that coincide with names of load-able data types (e.g. "configs" loaded as configs, "variables" loaded as variables). By default these are loaded into the global namespace.

Setting this false will not automatically load these directories.

default_dirs:
  type: boolean
  default: true

Manifest Includes

Include additional files to build the final, root manifest with. This same schema applies to included files.

includes: paths

Output Directory

Override the default output directory (i.e. datazen-out).

output_dir:
  type: string

Cache Directory

Override the default cache directory (i.e. .manifest_cache).

cache_dir:
  type: string

Global Loads

For each of these keys, add paths that should be loaded globally.

configs: paths
schemas: paths
schema_types: paths
templates: paths
variables: paths

Manifest Parameters

Manifests themselves are Jinja templates that are rendered with the data contained in this key.

params:
  type: dict

Default Target

The target to execute by default if none is provided.

default_target:
  type: string

Compiles

Target definitions for compilation tasks.

compiles:
  type: list
  schema:
    type: dict
    schema:
      configs: paths
      schemas: paths
      schema_types: paths
      variables: paths
      dependencies: deps
      name:
        type: string
      key:
        type: string
      override_path:
        type: string
      output_type:
        type: string
      output_path:
        type: string
      output_dir:
        type: string
      index_path:
        type: string
      merge_deps:
        type: boolean
        default: false
      append:
        type: boolean

Commands

Target definitions for command-line command tasks.

commands:
  type: list
  schema:
    type: dict
    schema:
      file:
        type: string
      name:
        type: string
      command:
        type: string
      force:
        type: boolean
      replace_newlines:
        type: boolean
      arguments: deps
      dependencies: deps

Renders

Target definitions for render tasks. Renders can create output files based on Jinja templates, or just String data to be used as a dependency for another task.

renders:
  type: list
  schema:
    type: dict
    schema:
      templates: paths
      children: deps
      child_delimeter:
        type: string
      child_indent:
        type: integer
      dependencies: deps
      name:
        type: string
      override_path:
        type: string
      as:
        type: string
      key:
        type: string
      output_dir:
        type: string
      output_path:
        type: string
      no_dynamic_fingerprint:
        type: boolean
      no_file:
        type: boolean
      indent:
        type: integer
      template_dependencies:
        type: list
        schema:
          type: string

Groups

Target definitions for group tasks. Groups declare a set of dependencies and nothing else. Groups can be used as dependencies for any other target.

groups:
  type: list
  schema:
    type: dict
    schema:
      name:
        type: string
      dependencies: deps

Manifest Schema Types

These items may appear in the manifest schema.

deps

Dependencies are lists of Strings. They should be formatted as (compiles,renders,...)-target.

type: list
schema:
  type: string

paths

Paths are lists of Strings and can use / or \\ as delimeters. Paths are relative to the directory that a manifest file is in, but for manifest includes, all "loaded" directories are relative to the root manifest's directory. Paths can also be absolute.

type: list
schema:
  type: string

Internal Dependency Graph

A coarse view of the internal structure and scale of datazen's source. Generated using pydeps (via mk python-deps).

datazen's Dependency Graph

This entire document is generated by this package.

Project details


Release history Release notifications | RSS feed

This version

3.1.4

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datazen-3.1.4.tar.gz (42.6 kB view details)

Uploaded Source

Built Distribution

datazen-3.1.4-py3-none-any.whl (54.3 kB view details)

Uploaded Python 3

File details

Details for the file datazen-3.1.4.tar.gz.

File metadata

  • Download URL: datazen-3.1.4.tar.gz
  • Upload date:
  • Size: 42.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for datazen-3.1.4.tar.gz
Algorithm Hash digest
SHA256 8ac6e9b5574a9f20f09b201a83d11c0e8fc6476f42ee0f06fd9ee8150294a124
MD5 ea9ffe7d111a755779debc4899419ccc
BLAKE2b-256 c7e94e2708e8b63ee550da775a2850b2e4c8b144f3eb88e06cb5a2b79c389ef5

See more details on using hashes here.

File details

Details for the file datazen-3.1.4-py3-none-any.whl.

File metadata

  • Download URL: datazen-3.1.4-py3-none-any.whl
  • Upload date:
  • Size: 54.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for datazen-3.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 385ea96d8e1be2032234d93b22c4190a58416b70699d790aa78efe851f947371
MD5 e92b93dab5862c9afc4f75acecdd6032
BLAKE2b-256 a617444306119b949e33c50727216c739ee53525c88aa10b38289828c057bf99

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page