Code repository for master thesis about example-driven DSML design http://msdl.cs.mcgill.ca/people/lucas

Lucas Heer b919a505cd remove obsolete file 7 年之前
bootstrap 0a72f86596 merged model move from testing branch, can now move model from one location to another (useful to reuse example models as instance models 7 年之前
doc 861f5c6c52 Update documentation for new activity execution 7 年之前
evolution 6a9b7bfb80 added evolution code for attributes 7 年之前
hybrid_server 8d26076636 Fixed "instruction pointer not found" error 7 年之前
integration 8d0bcb1616 Work around some issues 7 年之前
interface c730e25e10 Remoded non-existing function 7 年之前
kernel 364bf7dffd New bootstrapping process: no more exec with initializers in a dictionary, but instead directly invoke the global assignment 7 年之前
model 5e0500de3f Revert "Merge branch 'DEVS' into testing" 7 年之前
models 4639a78203 reworked edge mandatory constraint, some related bug fixes 7 年之前
scripts 8ca854edfc Switch raw_input to input when needed. 7 年之前
services 39c849d8ef Fixed some bugs related to AL models 7 年之前
sketchUI 6a9b7bfb80 added evolution code for attributes 7 年之前
state 05bcbd450f Fixed test for MvS with new size of datatype 7 年之前
unit 8d0bcb1616 Work around some issues 7 年之前
wrappers 6a9b7bfb80 added evolution code for attributes 7 年之前
.gitattributes b3d374390d Make .gz files merge properly 8 年之前
.gitignore b219a79554 started on UI for instance modeling 7 年之前
README.md 592282cbcf Massive cleanup 8 年之前
alc_io.py ec9b3d7dd6 sync my files after latest merge from upstream, cleaned up a bit, adapted code to new exceptions 7 年之前
alc_io.xml ec9b3d7dd6 sync my files after latest merge from upstream, cleaned up a bit, adapted code to new exceptions 7 年之前
commons.py 4639a78203 reworked edge mandatory constraint, some related bug fixes 7 年之前
main.py 4639a78203 reworked edge mandatory constraint, some related bug fixes 7 年之前
sum_times.py bfcb1fb5d4 More general code to sum times 8 年之前
test_printer.py 8d26076636 Fixed "instruction pointer not found" error 7 年之前
upload_image_as_cs.py c1f1b1ccf9 added script to manually upload an image file as concrete syntax icon for a node, also finished fetching and displaying this image in UI 7 年之前
verifier.py 6a9b7bfb80 added evolution code for attributes 7 年之前

README.md

Installation

Installing the Modelverse is unnecessary, as it is mere Python code and doesn't use installation scripts. All scripts which are generally useful are found in the 'scripts' directory, and are written in OS-independent Python code.

You will, however, need to install a dependency: the SCCD compiler and runtime.

Starting up the Modelverse

Starting up the Modelverse is easy: simply execute the scripts/run_local_modelverse.py script, with as parameter the port you want to use. By default, port 8001 is used.

Communicating with the Modelverse

Now that the Modelverse is running, you will want to communicate with it! To do this, you can use whatever tool you want, as long as it can send and receive XML/HTTPRequests. For example, a mere internet browser can already communicate with the Modelverse, though not in the most user-friendly way.

A nicer way is through the Python prompt script scripts/prompt.py. After that, it will print out all the output of the Modelverse, and send in all your queries directly to the Modelverse.

Python wrapper

To automatically communicate with the Modelverse in a programmatic way, a Python wrapper is provided. This wrapper is found in wrappers/modelverse.py, and provides Python functions that make the necessary Modelverse requests. At the moment, not all functions are implemented in the wrapper yet.

Performance

Performance of the Modelverse is currently rather low. This is primarily caused by the reliance on the action language, which is an explicitly modelled (and interpreted) language. Additionally, the Modelverse runs remotely, meaning that all requests have to pass over the network. Even when this is executed on the same machine, this causes quite some overhead.

Additional documentation

Some additional documentation can be found online in the Modelverse techreport, describing the internal workings of the Modelverse, as well as a brief introduction on how to use it. There is also in-depth documentation describing how to use the Modelverse and its various languages.

Tests

Running the tests is easy: simply execute scripts/run_tests.py in the main modelverse folder. This will invoke the necessary build commands (to create bootstrapping code etc.) and call the tests for each individual aspect of the Modelverse. Note that testing is done using py.test, which is the only dependency of the Modelverse (and only for tests, of course).

Using PyPy

Since all scripts chain the invocation with the same interpreter as originally invoking the script, you will need to install py.test for PyPy. Assuming that you already have PyPy installed, you can simply install py.test using these commands:

wget https://msdl.uantwerpen.be/files/get-pip.py
pypy get-pip.py --user
pypy -m pip install pytest --user

From then on, you can simply invoke all tests in PyPy using:

pypy scripts/run_tests.py