AtomicG

AtomicG is a CLI model-first source code generation tool, that can be used to automate the generation of regular and boilerplate source code files for your project, like Rest API CRUDs handlers, SQL scripts, entity classes for ORMs, etc... You can read more about this tool in the official web site https://www.atomicg.dev/, also join the discussion in our discord server https://discord.gg/n65mRJZ or send us an email with any concern you have to info@atomicg.dev

Instalation

AtomicG cli client can be installed using npm, it's recommended to install it globally, so it can be use in any project of any supported platform.

npm i @atomicg/atomicg -g

Usage

The first thing to do is to create a model to work with. An initial AtomicG model can be generated with the init command.

atomicg init

This will create the atomicg.yml file in the current folder, the created model it's simply a starting point, entities and generators must be added to the model to create useful code for the project. The next section describes in detail how to write a model. To generate the source code for the current model just run the tool with no options.

atomicg    

Model Reference

This section describes the information that can be added to the model and the source code each one produce. The following is an example of an atomicg model.

model:
  name: MyModel
  description: My Model

  basepath:

  uses:
    - gen: mysql
    - gen: sequelize
    - gen: express

  # Entities to be generated for this model.
  entities:
    - name: User
      fields:
        - name: email
          type: string
        - name: password
          type: string
        - name: name
          type: string
    - name: Group
      fields:
        - name: name
          type: string

All model must have the root element model beneath it the following options are available.

option	description	required
name	The name of the model.	yes
description	A short description to this model.	no
uses	The list of generators to use.	yes
entities	The list of entities to be generated	yes

The uses option allows to add a list with all the generators that will be generating code for this model. At this moment only 3 are supported, they are de following.

generator	description
mysql	generates the DDL script for MySQL database.
sequelize	generates a Sequelize model for each entity in the model.
express	generates an ExpressJS CRUD router for each entity in the model, that can be used as part of an API.

The entities tag is used to specify the entities of the model and each entity has the following options.

option	description	required
name	the name of the entity, that will be used for classes and file names for this entity.	yes
fields	the list of fields for this entity.	yes

The tags for each field are the following.

option	description	required
name	the name of the field, this info will be used to generate properties and columns for the field.	yes
type	the data type of the field, see the table of the available types for more information.	yes
required	if the field is required or not, this determines if the column in the database allows null or not.	no
length	the length of the field for string and numeric types. for the text data type this field most be either null, tiny, medium or long	no
decimals	the number of decimals for floating-point data types	no
precision	the precision of the field for decimals types.	no
scale	the scale of the field for decimals types.	no
index	if the field must be indexed, see the index type table for more info.	no
transform	the transformation that are needed by default on the data of the field. see the transformations table for more info.	no
values	used with the enum datatype to specify the set of values that the enum accepts.	no

The following table shows the available datatypes.

datatype	description	SQL type	Sequelize type
boolean	a boolean (true or false, usually 1 byte	BOOLEAN	BOOLEAN
byte	a 1 byte (8 bits) integer	TINYINT(length)	TINYINT(length)
short	a 2 bytes (16 bits) integer	INTEGER(length)	INTEGER(length)
medium	a 3 bytes (24 bits) integer	INTEGER(length)	INTEGER(length)
integer	a 4 bytes (32 bits) integer	INTEGER(length)	INTEGER(length)
long	a 8 bytes (64 bits) integer	BIGINT(length)	BIGINT(length)
char	a fixed length string of characters	CHAR(length)	CHAR(length)
string	a variable length string of characters	VARCHAR(length)	STRING(length)
text	a customizable (tiny, medium, long) text field	TINYTEXT, TEXT, MEDIUMTEXT, LONGTEXT	TEXT, TEXT('tiny', 'medium', 'long')
float	a single-precision floating-point number	FLOAT(length, decimals)	FLOAT(length, precision)
double	a double-precision floating-point number	DOUBLE(length, decimals)	DOUBLE(length, precision)
decimal	a decimal number that can store exact numbers.	DECIMAL(precision, scale)	DECIMAL(precision, scale)
enum	an enumeration field that only allows a set of values	ENUM(values)	ENUM

The following table shows the available options for the index tag.

option	description
none	this is the default option, it means that this field will not be indexed.
indexed	this options means that the database generator and the orm generator will create and index on this field.
unique	this options is the same as indexed but the created index will be a unique index, meaning that this field will have unique values in the database.

The following table shows the available options for the transform tag.

transform	description
trim	it will trim the white spaces characters from both size to any value pass to the field.
upper	it will convert to upper case any value that is pass to the field.
lower	it will convert to lower case any value that is pass to the field.
emptyToNull	it will convert to null any empty string that is pass to the field.

NOTE: This transformations are applicable to string fields only.