Easy DB Technical
- 1 Overview
- 2 Components and Functions
- 3 Coding Conventions Etc.
- 4 See Also
THIS IS NOT ABOUT THIS APPLICATION BUT A SIMILAR ONE, WILL BE CHANGED
These notes are here so you can more easily modify the code. Contact me Russ Hensel if you need additional help.
Before modifying the code it is best to understand how it works. Here is an overview of the general plan, details can be filled out by reading the code.
The architecture is called the model view controller or MVC. The class SmartTerminal ( in smart_terminal.py ) could be viewed as the main class. To run the program run its file ( see code at end of file) SmartTerminal is the controller in MVC it is responsible for all overall control, it directly or indirectly creates all other program objects.
The view component is called GUI ( in gui.py ). It creates all the visible components, and relays user input to the controller.
The model component is the component that actually does the communication it is called RS232Driver ( in rs232driver.py ) and like the GUI it is controlled by the controller.
The GUI is not allowed to directly communicate with the model and vise versa. Thus you can unplug them from the application and plug in new components. Don't like the GUI? You could modify mine, or you could make a modification and choose which one to use. This is sort of like a skin for an application. You can even set up to run with no GUI at all. The RS232Driver like the GUI easy to remove and replace in the program, its use has been parameterized in to the Parameter object, so to use SPI instead of RS232 all we have to do is write an SPI object and change the values in Parameter.
Two other important components are called Logger ( in logger.py ) and Parameters ( in parameters.py ). The controller creates one of each, and make them available to the other components. The other components can interact with them, and uses them respectively for logging events, and getting access to parameters ( those aspects of the application that are particularly easy to change ).
The application has a main thread running in a Tkinter mainloop. There is also a second thread called a "helper" running which makes some processing much easier. To make gui mainloop responsive to both the GUI and its own processing it uses a pseudo event loop or a polling subroutine that is implemented in SmartTerminal.polling(). This is where data is received from there comm port ( or sometimes the responsibility is passed to the helper thread). The frequency which it is called is set in parameters, the relatively low rate of 100 ms between calls ( .1 sec ) seems to give a perfectly responsive application in most cases. I have run it as fast as once every 10 ms. Have not tried to find a limit. The second thread is mostly intended for your custom processing, see the section Processing below.
Components and Functions
- Tkinter for the GUI
- pyLogging for logging
- Global Singleton for app cohesion.
The Controller: App
App ( in easy_db.py )
This is the class you create to run the application see the code at the bottom of the file, just run the file. Similar code is at the bottom of some of the other source files to make it convenient to run from those files, this is just to make it easier in development, the code in smart_terminal is the model for what should be used. Sometimes the code at the bottom of the file may have code for testing objects in the file, it may not be maintained, may not work as intended.
The App.__init__ method is the initialization and "run" method for the application. Much of the code that would normally be in it has been moved to App.restart which is used to restart the application when just the parameters have been changed. See the docstring there.
Yes I know that globals are bad, but they can be useful. For example many class instances need to access the parameter file. This can be done using the singleton class AppGlobal. It has values at the class level ( not instance ) that are available simply by importing the class. Many values are defaulted to None, and are set to valid values as the application initializes.
The application is currently in one thread, which seems like the right way for this sort of application
The Tkinker Thread
Once Tkinker is started it runs its own mainloop.
Parameters ( in parameters.py ) this is pretty much a structure ( that is all instance variables ) that is instantiated early in the life of the application. It passes values, strings, numbers, objects around the application to other parts of the application that need them. Much of the appearance and behavior of the application is controlled here.
The standard gui has a button to kick off editing of this file, the application may then be restarted ( another button ) with the new values.
There are a couple of meta parameters, the most important of which is mode which is then used in conditionals later in parameters. Except for this sort of thing there is really not much "code" in parameters. You can change this code pretty much as much as you like, as long as you end up setting up values for the required parameters.
The code is extensively commented: use that for documentation.
Values are often set to None as a default, then later set to some other value. Or the value may be set several times in a row ( this is an artifact of messing with the values ); only the last value set has any meaning.
For a lot more info see: EasyDB Parameter Examples
This uses the standard Python logging class. Logging level and other logging details are set up using the parameter file.
For now the documentation, as far as it exists is in the source code.
Coding Conventions Etc.
In reading the code it may be of some use to know what conventions I have ( tried ) to follow. The code has been developed over quite a period of time so the standards are not uniform. What I write here are the standards that are in quite a bit of the code and the directions that I am trying to move. In all of the coding consistency is an important standard. Here are some areas.
Be consistent: this is good but have not been very successful in standards: I keep changing my mind. Names across classes are pretty consistent. I am avoiding short names and try to make them descriptive enough that they are somewhat self documenting. References are often copied across objects for easy access ( lots of parameters for example ); when this happens the name of the object is generally ( should be always ) the same in both objects.
Nothing special here but I like white space and use a lot. This is not standard Python. But this is what I like.
Work towards using them. Not good as of 2017 Jan
- In most cases use the format "import xyz" so the name space is not polluted and so it is easy to identify just what an imported class is.
- In in objects that are almost all GUI then using "from Tkinter import *" is ok but better is: "import Tkinter as Tk"
- I normally have only one or a few classes in a file so there is a lot of what I call "local imports".
- Almost all imports are at the top of a file, std library imports first then "local imports".
Almost everything is a class. Not much in the way of module functions, not many classes in a module. I am trying to have all my classes descend from something be it only Object. And now that I am in Python 3.6 this is how it always works.
Documentation for Class Instance Methods
Look something like this:
def create_class_from_strings( self, module_name, class_name): """ This will load a class from string names It makes it easier to specify classes in the parameter file. I believe it is used for both the comm drive and the "processor" args: strings ret: instance of the class Side effects Class created """
The comment should give the intent of the method, some hint as to the args ( which hopefully have good names ), and some info. on the return value. zip means nothing, void....
I am moving toward using __ and _ as prefixes for more private methods, but have not gone too far in this direction.
- and the categories below may be useful ( click on them ).