CircuitSolver

This repository is the collection of all the modules necessary for the Elecosystem Problem Creation Datapath to work. Inside the preprocessor folder, we can find all the 3 main modules in the folders named:

• parser: SPICE Netlist Parser Module;
• mna: Modified Nodal Analysis Module;
• explainer: Circuit Explainer Module.

We can also find a folder called examples which has multiple SPICE circuits useful for testing all the modules, especially the parser module. The two last files are:

• database.sql: MySQL-compatible circuit and problem database declaration;
• datastructure.py: Datastructure used to store temporarely a circuit while it is being processed;
• preprocessor.py: Top-level module that offers a simple interface to the foreign modules (ex: web server calls).

NOTE: This project was developed using Python 3.0, not Python 2.0.

Installation guide

This project was designed to run under GNU/Linux. Windows and Mac were NOT tested but might be functional.

First of all, you need Python 3:

• For Debian-based distros: $ apt-get install python3;
• For Arch-based distros: $ pacman -S python3;
• For manual installation.

For the CircuitSolver to run, you need to install the antlr4, numpy and MySQLdb modules:

$ pip install antlr4-python3-runtime numpy mysqlclient

NOTE: To avoid packet collision and dependency problems, using virtual environments might be a good practice.

To compile the grammar you also need a copy of ANTLR4:

• For Debian-based distros: $ apt-get install antlr4;
• For Arch-based distros: $ pacman -S antlr4;
• For manual installation.

Top level (preprocessor.py)

The interface offered to the CircuitSolver caller is the following:

def handler(circpath,imgpath,questtext,questtype,compname,freq)

The arguments are:

• circpath: Path to the SPICE circuit;
• imgpath: Path to the image of the circuit;
• questtext: General question text;
• questtype: Type of question, either 'V' (Tension) , 'I' (Current), 'P' (Power);
• compname: Name of the component that the question is about;
• freq: Circuit freq in hertz (freq=0 -> DC);

This function handles all the back-end operations to solve and store a question.

NOTE: It is strongly advised to surround this function with a try..except block.

Datastructure (datastructure.py)

This database is used to store one circuit in volatile memory while it is are still being processed. The structure is divided in 3 classes:

• class Circuit: Contains a list of Branch and Branch count;
• class Branch: Contains a list of two nodes and a Component;
• class Component: Characterizes a component (contains a name, value, impedance (used only in AC), type and an optional dependent Component).

Methods of Circuit

The most important methods (interface methods) of this class are:

• removeBadBranches(Circuit): This function removes typical hacks from the SPICE netlist and handles them;
• fixnodes(Circuit): This function makes the node number sequential;
• updNodeCnt(): This method updates the node count variable (nodeCnt);
• calcImpedances(freq): This method calculates the impedance off all components within the circuit, given the frequency is greater than zero.

NOTE: For more detailed method documentation, it's recommended to read the pre-function comments in the source code.

Database (database.sql)

This database is used to make exercises, circuits and all the related data persistent.

The cirucit and exercise database schema was made using the MySQL dialect, so expect it to run in MySQL-compatible DBMSs. The database is composed by 4 tables and 2 stored procedures:

• Table CHAPTER: Stores the main subjects of the exercises. It's composed by an ID and a Name;
• Table SUBCHAPTER: Stores the sub topics of incidence of the exercises. It's Composed by an ID, the parent chapter ID and a Name;
• Table CIRCUIT: This table is used to keep track of each electrical circuit used by the system. It points to the syspath of the SPICE netlist and to the syspath of the Image/Diagram of the system. It also has an unique ID per circuit, a base resolution for the circuit (MNA related, how to reach the tensions for each component) and the base statement of the circuit (BaseEnu);
• Table EXERCISE: This table is used to make exercises persistent. It has the following fields:
  • ID: Unique exercise identifier;
  • CircuitID: Identifier of the circuit used in the exercise;
  • Type: Stores the type of exercise. It can be V for Tension, I for Current or P for Power;
  • CompName: Name of the component used in the exercise;
  • CorrectSol: Correct answer for the exercise.
  • WrongAns1, WrongAns2 and WrongAns3: The wrong answers for the exercise;
  • SpecificRes: The rest of the resolution, specific to the exercise. This concatenated after the BaseRes form the complete resolution for the exercise;
  • SubChapID: The identifier of the SubChapter this exercise falls onto;
  • ChapID: The identifier of the Chapter this exercise falls onto;
  • This table doesn't need a specific exercise statement field, because the specific exercise statement is generated automatically.
• Stored Procedure sp_CreateExercise: This stored procedure creates a new entry on the EXERCISE table and returns the ID used;
• Stored Procedure sp_CreateCircuit: This stored procedure creates a new entry on the CIRCUIT table and returns the ID used.

SPICE Parser Module (parser)

The SPICE parser was implemented using ANTLR4. ANTLR4 is a tool that generates a parser and a lexer for a given grammar for a specified target language (in this case Python3).

Reference

Not all the SPICE specification was implemented: only the subset of useful and needed directives was implemented. These are:

• V Voltage Source (Rule: V<name> <(+) node> <(-) node> <value>, Example: VTHR 2 0 20V);
• I Current Source (Rule: I<name> <(+) node> <(-) node> <value>, Example: IBIAS 13 0 2.3mA);
• R Resistor (Rule: R<name> <(+) node> <(-) node> <value>, Example: R2 2 0 2k);
• C Capacitor (Rule: C<name> <(+) node> <(-) node> <value>, Example: C1 2 0 20pF);
• L Inductor (Rule: L<name> <(+) node> <(-) node> <value>, Example: L2 2 0 20mH);
• E Voltage Controlled Voltage Source (Rule: E<name> <(+) node> <(-) node> <(+) controlling node> <(-) controlling node> <gain>, Example: EAMP 1 2 10 11 5);
• F Current Controlled Current Source (Rule: F<name> <(+) node> <(-) node> <controlling V device name> <gain>, Example: FSENSE 1 2 VSENSE 10.0);
• G Voltage Controlled Current Source (Rule: G<name> <(+) node> <(-) node> <(+) controlling node> <(-) controlling node> <gain>, Example: GAMP 1 2 10 11 5);
• H Current Controlled Voltage Source (Rule: H<name> <(+) node> <(-) node> <controlling V device name> <gain>, Example: HSENSE 1 2 VSENSE 10.0);
• .END Command (Used to mark the end of the netlist).
• Although the <title> field was also implemented (as the specification requires it to be for a correct grammar) it is simply ignored.

For a in-depth look at the SPICE standard, use this manual (this manual was also used as the reference for this module).

Files

Inside this folder there are a lot of files, but the majority of them are auto-generated files:

• spiceProcessor.py: Top-level code that calls all the submodules of the parser, giving a clean interface to its caller (the top-level of CircuitSolver, preprocessor.py);
• spice.g4: Grammar specification file. In this file, the SPICE grammar is implemented. All possible accepted input combinations are/must be described in this file;
• spiceListener.py: Auto-generated file that has the grammar interaction (in this case, a listener) interface;
• spiceExtractor.py: Module that reads from the parsed netlist's token tree, using the listener interface (spiceListener.py);
• spiceLexer.py: Auto-generated Lexer module used for tokenization;
• spiceLexer.tokens and spice.tokens: Auto-generated file that identifies all tokens accepted by the Lexer;
• spiceParser.py: Auto-generated module that serves as the generic parser for the listener.

Compiling the grammar

Running $ antlr4 -Dlanguage=Python3 spice.g4 inside the parser folder will generate new spiceLexer.py spiceLexer.tokens spiceListener.py spiceParser.py and spice.tokens files.

Modified Nodal Analysis Module (mna)

Circuit Explainer Module (explainer)

License

Example Test

Go to 'preprocessor/' directory.

• To get the of the voltage of component C1: python3 mytopcaller.py examples/example2_AC.cir 1 1 question1 0 C1 400 V.
• To get the resolution of the nodal analysis: python3 mytopcaller.py examples/example2_AC.cir 1 1 question1 0 C1 400.