Chapter 9. Extending Workbench

Chapter 9. Extending Workbench

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Chapter 9. Extending Workbench

MySQL Workbench provides an extension and scripting system that allows
the developer to extend MySQL Workbench according to requirements. While
the core of MySQL Workbench is developed using C++, it is possible to
harness this core functionality using both the Lua and Python
scripting languages. MySQL Workbench also provides access to a
cross-platform GUI library, mforms, which enables
the creation of extensions that feature a graphical user interface.

The extension capabilities enable the following:

  • Automate common tasks

  • Extend the Workbench user-interface

  • Create plugins (code which can be invoked from the Workbench
    menu system)

  • Manipulate schemata

  • Create custom Workbench features

9.1. GRT and Workbench Data Organization

The GRT, or Generic RunTime, is the internal system used by
Workbench to hold model document data. It is also the mechanism by
which Workbench can interact with Modules and Plugins. Workbench
model data, such as diagrams, schemata and tables, is stored in a
hierarchy of objects that can be accessed by any plugin. The data
is represented using standard data types: integers, doubles,
strings, dicts, lists and objects.

The GRT can be accessed using external scripting languages such as
Lua and Python. Awareness is required of how the GRT data types
map into the scripting language. In Python, for example, the GRT
data types integers, doubles and strings are seen as corresponding
Python data types. Lists and dicts are kept in their internal
representation, but can however generally be treated as Python
lists and dicts, and accessed in the usual way. Objects contain
data fields and methods, but the GRT only recognizes objects from
a pre-registered class hierarchy.

It is possible to fully examine the classes contained within the
GRT using the Workbench Scripting Shell. Note that dots in class names are changed to
underscores in their Python counterparts. For example,
db.mysql.Table becomes
db_mysql_Table in Python.

The Application Objects Tree (GRT
Tree)

As mentioned previously the Workbench document data is stored in
an object hierarchy. This hierarchy is known as the GRT Tree. The
GRT Tree can be accessed and modified from supported external
scripting languages such as Python. Care should be taken when
modifiying the GRT Tree, in case a mistake leads to corruption of
the document. Backups should be made before manipulating the tree.
Read-only access to the tree is the safest approach, and is
sufficient in most cases.

The main nodes in the Application Object
Tree

Node Description
wb.registryApplication data such as plugin registry, list of editors, and options.
wb.customDataA generic dictionary for data you can use to store your own data. This
dictionary is saved and reloaded with Workbench and is
global (not document specific).
wb.optionsContains some default options that are used by Workbench
wb.rdbmsMgmtInternal registry of supported RDBMS modules, known data types.
wb.docThe currently loaded model document.
wb.doc.physicalModels[0]The currently loaded model object, containing the database catalog and
diagrams.
wb.doc.physicalModels[0].catalogThe database catalog for the model. Contains the list of schemata.
wb.doc.physicalModels[0]catalog.schemataList of schemata in the model. Individual schema can be accessed as a
list: schemata[0], schemata[1] ...
wb.doc.physicalModels[0].catalog.schemata[0].tables (.views, .routines,
...)
Lists of tables, views, routines in the schema.
wb.doc.physicalModels[0].diagramsList of EER diagrams in the model
wb.doc.physicalModels[0].diagrams[0].figures (.layers, .connections,
...)
List of figures, layers, connections (relationships) in the diagram.

9.2. Modules

In the GRT Modules are libraries containing a list of functions
that are exported for use by code in other modules, scripts or
Workbench itself. Modules can currently be written in C++, Lua or
Python, but the data types used for arguments and the return value
must be GRT types.

GRT modules are similar to Python modules. They are however
imported from the built-in grt module, instead
of directly from an external file. The list of modules loaded into
the grt module is obtained
grt.modules. Modules can be imported in Python
using statements such as from grt.modules import
WbModel
.

To export functions as a module from Python code you need to carry
out the following:

  1. The source file must be located in the user modules folder.
    This path is displayed in the Workbench Scripting Shell with the label
    Looking for user plugins in.... It is
    also possible to install the file using the main menu item
    Scripting, Install Plugin/Module
    File
    .

  2. The source file name must have the extension
    _grt.py, for example,
    my_module_grt.py.

  3. Some module metadata needs to be defined. This can be done
    using the DefineModule function from the wb
    module:

    from wb import *
    ModuleInfo = DefineModule(name='MyModule', author='Your Name', version='1.0')
    
  4. Functions to be exported require their signature to be
    declared. This is achieved using the export decorator in the
    previously created ModuleInfo object:

    @ModuleInfo.export(grt.INT, grt.STRING)
    def checkString(s):
       ...
    

    Note, for the export statement, the return type is listed
    first, followed by the input parameter types. These types are
    specified as GRT typenames. The typenames that can be used are
    as follows:

    • grt.INT: Integer values. Also used for boolean values.

    • grt.DOUBLE: Floating-point numeric values.

    • grt.STRING: UTF-8 or ASCII string data.

    • grt.DICT: A key/value dictionary item. Keys must be
      strings.

    • grt.LIST: A list of other values. It is possible to
      specify the type of the contents as a tuple in the form
      (grt.LIST, <type-or-class>). For
      example, (grt.LIST, grt.STRING) for a list of strings. For
      a list of table objects the following would be specified:
      (grt.LIST, grt.classes.db_table).

    • grt.OBJECT: An instance of a GRT object or a GRT class
      object, from grt.classes.

    Note these types are defined in the grt
    module, which must first be imported before they can be used.

The following code snippet illustrates declaring a module that
exports a single function:

from wb import *
import grt

ModuleInfo = DefineModule(name='MyModule', author="your name", version='1.0')

@ModuleInfo.export(grt.DOUBLE, grt.STRING, (grt.LIST, grt.DOUBLE))
def printListSum(message, doubleList):
   sum = 0
   for d in doubleList:
      sum = sum + d
   print message, sum
   return sum

9.3. Plugins

Plugins are special Modules that are exposed to the user through
the Workbench GUI. This is typically done using the main menu, or
the context-sensitive menu. Much of the MySQL Workbench functionality
is implemented using plugins, for example, tabel, view, and
routine editors are native C++ plugins, as are the forward and
reverse engineering wizards. The Administrator facility in
MySQL Workbench is implemented entirely as a plugin in Python.

A plugin can be a simple function that performs some action on an
input, and ends without further interaction with the user.
Examples of this include auto-arranging a diagram, or making batch
changes to objects. To create a simple plugin, the function needs
to be located in a module and then declare it as a plugin using
the plugin decorator of the
ModuleInfo object.

Plugins can have an indefinite runtime, such as when they are
driven by the user through a graphical user interface. This is the
case for the various object editors and wizards within
MySQL Workbench. Although this latter type of plugin will need to be
declared in the usual way, only the entry point of the plugin will
need to be executed in the plugin function, as most of the
additional functionality will be invoked as a result of the user
interacting with the GUI.

The syntax for declaring a plugin is as follows:

@ModuleInfo.plugin(plugin_name, caption, [input], [groups], [pluginMenu])

These parameters are defined as follows:

  • plugin_name: A unique name
    for the plugin. It may only contain alphanumeric characters,
    dots, and underscores.

  • caption: A caption to use for
    the plugin in menus.

  • input: An optional list of
    input arguments.

  • groups: Optional list of
    groups the plugin belongs to. Recognized values are:

    • Overview/Utility: The
      Context menu in the Model Overview.

    • Model/Utility: The menu for diagram
      objects.

    • Menu/<category>: The
      Plugins menu in the main menu.

  • pluginMenu: Optional name of
    a submenu in the Plugins menu where the plugin should appear.
    For example, Catalog,
    Objects, Utiities. This
    is equivalent to adding a
    Menu/<category> in the groups list.

9.4. Adding a GUI to a Plugin using MForms

MySQL Workbench is implemented with a C++ core back-end, and a native
front-end for each supported platform. Currently the front-end is
implemented with Windows Forms on Microsoft Windows, GTK+ on
Linux, and Cocoa on Mac OS X. This approach allows the application
to have a native look and feel, while reducing the amount of work
required to maintain the project. However, the GUI functionality
required by MySQL Workbench can be met by a subset of graphical
operations. These are implemented in a cross-platform GUI library,
MForms. This further reduces the development effort, as plugin
developers can use MForms, rather than having to write front-end
specific code for each supported platform. This also helps
consistency of operation across all platforms. MForms is coded in
C++, but provides a Python interface. To use it the Python code
needs to import the mforms module.

MForms Containers

Given problems of using an absolute co-ordinate system across
different platforms, MForms employs containers that perform
automatic layout. The basic containers that MForms provides
include:

  • Form: A top-level window
    which can contain a single control, usually another container.
    The window will be sized automatically to fit its contents,
    but can also be sized statically.

  • Box: This is a container that
    can be filled with one or more controls in a vertical or
    horizontal layout. Each child control can be set to use either
    the minimum of required space, or fill the box in the
    direction of the layout. In the direction perpendicular to the
    layout, for example vertical in a horizontal layout, the
    smallest possible size that can accommodate all child controls
    will be employed. So, in this example, the smallest height
    possible to accommodate the controls would be used.

  • Table: This is a container
    that can organize one or more controls in a grid. The number
    of rows and columns in the table, and the location of controls
    within the grid, can be set by the developer.

  • ScrollView: This is a
    container that can contain a single child control, and will
    add scrollbars if the contents do not fit the available space.

9.5. The Workbench Scripting Shell

The Workbench Scripting Shell provides a means for entering and executing scripts.
Through the use of the scripting shell, MySQL Workbench can support
new behavior and data sources using code written in Lua and
Python. The shell can also be used to explore the current
Workbench GRT (Generic Runtime) facilities.

The scripting shell is not only useful for expanding MySQL Workbench.
You can use a script file from the scripting shell command line to
perform repetitive tasks programmatically.

The default development language is Lua, a
lightweight scripting language expressly designed for extending
applications. For more information about this language see
lua.org.

The Python language is also supported, further details of this
language can be found from the official
Python site.

The programming language to be used in Workbench Scripting Shell can be selected from
the General tab of the Workbench Preferences dialog. The Workbench
Preferences dialog can be displayed using the main menu item
Edit, Preferences.

9.5.1. Exploring the Workbench Scripting Shell

To open the Workbench Scripting Shell, select Scripting,
Scripting Shell from the main menu. You can
also open the Workbench Scripting Shell using the
Ctrl+F3 key combination on
Windows and Linux, cmd F3 on
Mac OS X, or by clicking the shell button above the EER diagram
navigator. The Workbench Scripting Shell will then open in a new dialog.

The following screenshot shows the Workbench Scripting Shell dialog:


Figure 9.1. The Workbench Scripting Shell

The Workbench Scripting Shell

9.5.2. The Shell Window

The Workbench Scripting Shell is primarily used for running Lua or Python scripts
or typing commands in these languages directly. However, you can
also use it to access the Workbench Scripting Shell Scripting Library functions and
global functions and objects. To see the available commands type
?”. You can also cut and paste
text to and from the shell window.

While individual commands can be entered into the shell, it is
also possible to run a longer script, stored in an external
file, using the main menu option Scripting,
Run Workbench Script File. When scripts are
run outside of the shell, to see the output use the main menu
item View, Output.

It is also possible to run script files directly from the shell.
For details on running script files, type ?
run
at the Workbench Scripting Shell prompt. The following message is
displayed:

  Shell Command - shell.run
  -------------------------
  Load and execute a lua script file.

  run filename

  Parameters:
  filename       File that should be loaded and executed.

  Examples:
  run scripts/test.lua
  Runs the script scripts/test.lua.

Within the Workbench Scripting Shell, on the left side panel, are three tabs:
Globals, Classes, and
Modules. Discussion of these additional
tabs follows.

9.5.3. The Globals, Classes, and Modules Tabs

The Workbench Scripting Shell features the Globals,
Classes and Modules
tabs, in addition to the main Shell tab.

The Globals Tab

At the top of the window is a drop down list box that is used to
select the starting point, or root, of the GRT Globals tree
displayed beneath it. By default this starting point is the root
of the tree, that is, '/'. The GRT Globals tree can be expanded
and collapsed as required. The GRT Globals tree is the structure
in which MySQL Workbench stores document data. Clicking any item
will result in its name and value being displayed in the panel
below the tree.

The Classes Tab

A class is a user-defined data type formed by
combining primitive data types: integers, doubles, strings,
dicts, lists, and objects. This tab shows the definitions of the
classes used by the objects in the Modules
tab. Clicking a class causes a brief description of the class to
be displayed in a panel below the classes explorer.

When the Classes tab is selected, the
dropdown listbox lists the following items:

  • Group by Name: Group by the object
    name

  • Group by Hierarchy: Group by
    inheritance

  • Group by Package: Group by
    functionality

The default view for this tab is Group By
Name
. This view simply shows all the different
objects arranged alphabetically. Click the
+ icon or double-click a package to show
the properties of the struct.

If you switch to the hierarchical view you will see
GrtObject: the parent object from which all
other objects are derived.

The Modules Tab

The Modules tab enables you to browse the
MySQL Workbench installed modules and their functions. Clicking a
module within the explorer causes its details to be displayed in
a panel below the explorer. This facility is useful for
exploring the available modules, and their supported functions.
It is also a way to check if custom modules have been correctly
installed.

9.6. Tutorial: Writing Plugins

The purpose of this tutorial is to show you how to extend
MySQL Workbench by creating a plugin.

The sample plugin

EER Diagrams are useful for visualizing complex database schemata.
They are often created for existing databases, to clarify their
purpose or document them. MySQL Workbench provides facilities for
reverse engineering existing databases, and then creating an EER
Diagram automatically. In this case relationship lines between
foreign keys in the table will automatically be drawn. This
graphical representation makes the relationships between the tables
much easier to understand. However, one of the most popular storage
engines for MySQL, MyISAM, does not include support for foreign
keys. This means that MyISAM tables that are reverse engineered will
not automatically have the relationship lines drawn between tables,
making the database harder to understand. The plugin that will be
created in this tutorial gets around this problem by using the fact
that a naming convention is very often used for foreign keys:
tablename_primarykeyname. Using this convention,
foreign keys can automatically be created after a database is
reverse engineered, which will result in relationship lines being
drawn in the EER diagram.

Algorithm

The basic algorithm for this task would be as follows:

for each table in the schema
   for each column in the table
      look for another table whose name and primary key name match the current column name
      if such a table is found, add a foreign key referencing it

As iterating the complete table list to find a match can be slow for
models with a large number of tables, it is necessary to optimize by
pre-computing all possible foreign key names in a given schema.

import grt

def auto_create_fks(schema):
   fk_name_format = "%(table)s_%(pk)s"
   possible_fks = {}
   # create the list of possible foreign keys from the list of tables
   for table in schema.tables:
      if table.primaryKey:
         format_args = {'table':table.name, 'pk':table.primaryKey.name}
         fkname = fk_name_format % format_args
         possible_fks[fkname] = table

   # go through all tables in schema, this time to find columns that may be a fk
   for table in schema.tables:
      for column in table.columns:
         if possible_fks.has_key(column.name):
            ref_table = possible_fks[column.name]
            if ref_table.primaryKey.formattedType != column.type:
               continue
            fk = table.createForeignKey(column.name+"_fk")
            fk.referencedTable = ref_table
            fk.columns.append(column)
            fk.referencedColumn.append(ref_table.primaryKey)
            print "Created foreign key %s from %s.%s to %s.%s" % (fk.name, table.name, column.name, ref_table.name, ref_table.primaryKey.name)

auto_create_fks(grt.root.wb.doc.physicalModels[0].catalog.schemata[0])

Creating a Plugin from a Script

To create a plugin from an arbitrary script, it is first necessary
to make the file a module, and export the required function from it.
It is then necessary to declare the module as a plugin, and specify
the return type and input arguments.

from wb import *
import grt

ModuleInfo = DefineModule(name="AutoFK", author="John Doe", version="1.0")

@ModuleInfo.plugin("sample.createGuessedForeignKeys", caption="Create Foreign Keys from ColumnNames",
input=[wbinputs.objectOfClass("db.mysql.schema")], groups=["Overview/Utility"])
@ModuleInfo.export(grt.INT, grt.classes.db_mysql_Schema)
def auto_create_fks(schema):
   ...

With the addition of the above code, the
auto_create_fks() function is exported and will
be added to the schema context menu in the model overview. When
invoked it will receive the currently selected schema as its input.

原文地址:https://www.cnblogs.com/lexus/p/2395493.html