niaz/dbpanel

developer panel for laravel application

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Language:JavaScript


README

Introduction

dbpanel is a developer tool for laravel application. You can test your controller's action methods by calling its namepspace@method and save them for your future need. You can also run artisan command, namespace lookup for available methods and all their associated doc and parameters type.

📢 You can also access your laravel application's database easily and fastest way in a same panel. There are some cool filter available with this package. You might look around your table's column type and index also. You can also update and delete your filtered data.

📢 You can also open vue component in code editor (phpstorm,vscode) by clicking open file from vue chrome extention tool.

Installation 📡

composer require niaz/dbpanel --dev

Publish assets 🔌

php artisan vendor:publish --tag=dbpanel --force

SetUp Configuration 🚀

You need to edit config/dbpanel.php as your configuration

If your default code editor is phpstorm,then need to set as

 'editor'=>'phpstorm'  // default 'editor'=>'vscode'

If your application not used controller namespace property, then you need to set this value as

  'controller' => '',  // deafult 'controller' => 'App\\Http\\Controllers\\',

Usage 📦

Visit Route:

/dbpanel

To Check Controller or Model or Other Method

Just type your Controller or Model or any other class name and method as

ClassName@method

If you had a more namespace from Controller or Model default namespace prefix, then

ExtraNameSpace\ClassName@method

To pass parameter

App\User 5|string|58,hello,78|12:58:59

Note: parameters are separated by |. Array parameter value are , seprated. Numeric string value will auto converted as int type value. This was also applicable for array.

To pass request instance

prop.width.px@45
prop.height.px@45
filter.date.start@2020-11-12
filter.date.end@2020-15-12
filter.search@lorem ipsum
filter.range.min@15
filter.range.max@68
filter.time@12:58:56

every formData are in a new line

or Raw json

{
    "husky": {
        "hooks": {
        "pre-commit": "npm test",
        "pre-push": "npm test",
        "...": "..."
        }
    }
}

Return

It will return a json with log and data . In log all database query,bindings and time are listed.If this method return any data,it will return with data.

Tip: you can test your request data from other tab by passing request@dd, parameters and request

To pass auth for login with ID

5@id,name,email

id_number@id,column_name,email

Run Artisan Command

Database

Select a table name from table option and enter some query string with some key name are filter name as follows:

id (key)

Example: &id=5 &id=5-100

sort (key)

Example: &sort=email:asc &sort=name:desc &sort=desc

is (key)

Example: &is=active:0 &is=active:1 &is=date:2020-04-29

date (key)

single date

Example: &date=updated_at:2020-04-29

range of date

Example: &date=created_at:2020-04-19:2020-04-21

lookup (key)

for variant,

  • use ! for not match
  • use $ to specify string postion
  • use , for and condition
  • use | for or condition

Example:

&lookup=email:start$ &lookup=email:$end &lookup=email:$anywhere$ &lookup=email:!$.com

where (key)

for variant,

  • use ! for not equal
  • use < for less than
  • use > for greater than
  • use , for and condition
  • use | for or condition

Example:

  • &where=product_price:500 &where=discount:<20
  • &where=product_id:<200,product_price:>500
  • &where=product_price:<300|discount:>15

join (key)

Example:

  • &join=initialTable:Column:firstTable:Column

initialColumn=firstColumn and firstColumn=secondColumn

  • &join=initialTable:Column:firstTable:Column,firstable:Column:secondTable:Column:

Note: when use join Not to use any similar column name related filter it will thrown error.

return_only (key)

for alias use @

Example:

  • &return_only=id,name,email &return_only=name,email,phone
  • &return_only=id,name@user_name,email@user_email
  • &return_only=name@employee_name,phone@employee_phone
  • &return_only=users.name@employee_name,address,website

return_except (key)

Example:

  • &return_except=id,name,email &return_except=name,email,phone

Delete

To delete your filtered data just pass &delete

Update

Example : &update=column_name:value,column_name:value

Lisence

MIT Lisence