Improve tutorial

* Improve text
* Move to docs
* Autogenerate with sphinx
* Fix naming issue `environment.run` (double name)
* Add to tests
master
J. Fernando Sánchez 1 year ago
parent d13e4eb4b9
commit 55bbc76b2a

@ -4,7 +4,7 @@
Soil is an extensible and user-friendly Agent-based Social Simulator for Social Networks.
Learn how to run your own simulations with our [documentation](http://soilsim.readthedocs.io).
Follow our [tutorial](examples/tutorial/soil_tutorial.ipynb) to develop your own agent models.
Follow our [tutorial](docs/tutorial/soil_tutorial.ipynb) to develop your own agent models.
> **Warning**
> Soil 1.0 introduced many fundamental changes. Check the [documention on how to update your simulations to work with newer versions](docs/notes_v1.0.rst)

@ -31,7 +31,10 @@
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = ['IPython.sphinxext.ipython_console_highlighting']
extensions = [
"IPython.sphinxext.ipython_console_highlighting",
"nbsphinx",
]
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
@ -64,7 +67,7 @@ release = '0.1'
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None
language = "en"
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
@ -152,6 +155,3 @@ texinfo_documents = [
author, 'Soil', 'One line description of project.',
'Miscellaneous'),
]

@ -2,19 +2,20 @@ Welcome to Soil's documentation!
================================
Soil is an opinionated Agent-based Social Simulator in Python focused on Social Networks.
To get started developing your own simulations and agent behaviors, check out our :doc:`Tutorial <soil_tutorial>` and the `examples on GitHub <https://github.com/gsi-upm/soil/tree/master/examples>`.
Soil can be installed through pip (see more details in the :doc:`installation` page):.
.. image:: soil.png
:width: 80%
:align: center
Soil can be installed through pip (see more details in the :doc:`installation` page):
.. code:: bash
pip install soil
To get started developing your own simulations and agent behaviors, check out our :doc:`Tutorial <soil_tutorial>` and the `examples on GitHub <https://github.com/gsi-upm/soil/tree/master/examples>.
If you use Soil in your research, do not forget to cite this paper:
@ -46,7 +47,8 @@ If you use Soil in your research, do not forget to cite this paper:
:caption: Learn more about soil:
installation
Tutorial <soil_tutorial>
Tutorial <tutorial/soil_tutorial>
notes_v1.0
..

@ -1,3 +1,6 @@
Upgrading to Soil 1.0
---------------------
What are the main changes in version 1.0?
#########################################

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@ -1 +1,2 @@
ipython>=7.31.1
nbsphinx==0.9.1

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@ -17,9 +17,9 @@ def parse_requirements(filename):
install_reqs = parse_requirements("requirements.txt")
test_reqs = parse_requirements("test-requirements.txt")
extras_require={
'mesa': ['mesa>=0.8.9'],
'geo': ['scipy>=1.3'],
'web': ['tornado']
'web': ['tornado'],
'ipython': ['ipython==8.12', 'nbformat==5.8'],
}
extras_require['all'] = [dep for package in extras_require.values() for dep in package]

@ -216,10 +216,11 @@ class BaseEnvironment(Model):
@classmethod
def run(cls, *,
name=None,
iterations=1,
num_processes=1, **kwargs):
from .simulation import Simulation
return Simulation(name=cls.__name__,
return Simulation(name=name or cls.__name__,
model=cls, iterations=iterations,
num_processes=num_processes, **kwargs).run()

@ -2,3 +2,5 @@ pytest
pytest-profiling
scipy>=1.3
tornado
nbconvert==7.3.1
nbformat==5.8.0

@ -7,7 +7,7 @@ ROOT = os.path.abspath(os.path.dirname(__file__))
class TestNotebooks(TestCase):
def test_tutorial(self):
notebook = os.path.join(ROOT, "../examples/tutorial/soil_tutorial.ipynb")
notebook = os.path.join(ROOT, "../docs/tutorial/soil_tutorial.ipynb")
with open(notebook) as f:
nb = nbformat.read(f, as_version=4)
ep = ExecutePreprocessor(timeout=60000, kernel_name='python3')

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