feat: allow_event_without_transition (#364)

Author: fgmacedo

README.md

@@ -298,7 +298,7 @@ There's a lot more to cover, please take a look at our docs:
 https://python-statemachine.readthedocs.io.
 
 
-## Contributing
+## Contributing to the project
 
 * <a class="github-button" href="https://github.com/fgmacedo/python-statemachine" data-icon="octicon-star" aria-label="Star fgmacedo/python-statemachine on GitHub">Star this project</a>
 * <a class="github-button" href="https://github.com/fgmacedo/python-statemachine/issues" data-icon="octicon-issue-opened" aria-label="Issue fgmacedo/python-statemachine on GitHub">Open an Issue</a>

docs/actions.md

@@ -1,6 +1,6 @@
 # Actions
 
-Action is the way a StateMachine can cause things to happen in the
+Action is the way a {ref}`StateMachine` can cause things to happen in the
 outside world, and indeed they are the main reason why they exist at all.
 
 The main point of introducing a state machine is for the
@@ -26,7 +26,7 @@ when something changes and are not bounded to a specific state or event:
 
 - `after_transition()`
 
-The follow example can get you an overview of the "generic" callbacks available:
+The following example can get you an overview of the "generic" callbacks available:
 
 ```py
 >>> from statemachine import StateMachine, State
@@ -162,14 +162,14 @@ It's also possible to use an event name as action.
 
 ## Transition actions
 
-For each {ref}`event`, you can register `before`, `on` and `after` callbacks.
+For each {ref}`event`, you can register `before`, `on`, and `after` callbacks.
 
 ### Declare transition actions by naming convention
 
 The action will be registered for every {ref}`transition` associated with the event.
 
-Callbacks by naming convention will be searched on the StateMachine and on the
-model, using the patterns:
+Callbacks by naming convention will be searched on the StateMachine and the model,
+using the patterns:
 
 - `before_<event>()`
 
@@ -337,7 +337,7 @@ Actions and Guards will be executed in the following order:
 (dynamic-dispatch)=
 ## Dynamic dispatch
 
-`python-statemachine` implements a custom dispatch mechanism on all those available Actions and
+{ref}`statemachine` implements a custom dispatch mechanism on all those available Actions and
 Guards. This means that you can declare an arbitrary number of `*args` and `**kwargs`, and the
 library will match your method signature of what's expected to receive with the provided arguments.
 
@@ -359,7 +359,7 @@ For your convenience, all these parameters are available for you on any Action o
 : All keyword arguments provided on the {ref}`Event`.
 
 `event_data`
-: A reference to `EventData` instance.
+: A reference to {ref}`EventData` instance.
 
 `event`
 : The {ref}`Event` that was triggered.

docs/api.md

@@ -0,0 +1,66 @@
+# API
+
+## StateMachine
+
+```{eval-rst}
+.. autoclass:: statemachine.statemachine.StateMachine
+    :members:
+    :undoc-members:
+```
+
+## State
+
+```{seealso}
+{ref}`States` reference.
+```
+
+
+```{eval-rst}
+.. autoclass:: statemachine.state.State
+    :members:
+```
+
+## Transition
+
+```{seealso}
+{ref}`Transitions` reference.
+```
+
+```{eval-rst}
+.. autoclass:: statemachine.transition.Transition
+    :members:
+```
+
+## TransitionList
+
+```{eval-rst}
+.. autoclass:: statemachine.transition_list.TransitionList
+    :members:
+```
+
+## Model
+
+```{seealso}
+{ref}`Domain models` reference.
+```
+
+
+```{eval-rst}
+.. autoclass:: statemachine.model.Model
+    :members:
+```
+
+## TriggerData
+
+
+```{eval-rst}
+.. autoclass:: statemachine.event_data.TriggerData
+    :members:
+```
+
+## EventData
+
+```{eval-rst}
+.. autoclass:: statemachine.event_data.EventData
+    :members:
+```

docs/diagram.md

@@ -1,10 +1,10 @@
 # Diagrams
 
-You can generate diagrams from your state machine.
+You can generate diagrams from your {ref}`StateMachine`.
 
 ```{note}
 This functionality depends on [pydot](https://github.com/pydot/pydot), it means that you need to
-have pydot installed on your system. pydot is a Python library that allows you to create and
+have `pydot` installed on your system. pydot is a Python library that allows you to create and
 manipulate graphs in [Graphviz](https://graphviz.org/)'s
 [dot language](https://graphviz.org/doc/info/lang.html).
 
@@ -59,7 +59,7 @@ As this one:
 ![OrderControl](images/order_control_machine_initial.png)
 
 
-The current state is also highlighted:
+The current {ref}`state` is also highlighted:
 
 ``` py
 

docs/guards.md

@@ -1,10 +1,10 @@
 (validators-and-guards)=
 # Validators and guards
 
-Validations and Guards are checked before an transition is started. They are meant to stop a
+Validations and Guards are checked before a transition is started. They are meant to stop a
 transition to occur.
 
-The main difference, is that {ref}`validators` raise exceptions to stop the flow, and {ref}`guards`
+The main difference is that {ref}`validators` raise exceptions to stop the flow, and {ref}`guards`
 act like predicates that shall resolve to a ``boolean`` value.
 
 ```{seealso}
@@ -16,16 +16,16 @@ for all the available callbacks, being validators and guards or {ref}`actions`.
 
 Also known as **Conditional transition**.
 
-A guard is a condition that may be checked when a statemachine wants to handle
-an {ref}`event`. A guard is declared on the {ref}`transition`, and when that transition
+A guard is a condition that may be checked when a {ref}`statemachine` wants to handle
+an {ref}`event`. A guard is declared on the {ref}`transition`, and when that {ref}`transition`
 would trigger, then the guard (if any) is checked. If the guard is `True`
 then the transition does happen. If the guard is `False`, the transition
 is ignored.
 
-When transitions have guards, then it's possible to define two or more
-transitions for the same event from the same {ref}`state`. When the event happens, then
+When {ref}`transitions` have guards, then it's possible to define two or more
+transitions for the same {ref}`event` from the same {ref}`state`. When the {ref}`event` happens, then
 the guarded transitions are checked, one by one, and the first transition
-whose guard is true will be used, the others will be ignored.
+whose guard is true will be used, and the others will be ignored.
 
 A guard is generally a boolean function or boolean variable and must not have any side effects.
 Side effects are reserved for {ref}`actions`.
@@ -66,7 +66,7 @@ So, a condition `s1.to(s2, cond=lambda: [])` will evaluate as `False`, as an emp
 
 
 Are like {ref}`guards`, but instead of evaluating to boolean, they are expected to raise an
-exception to stop the flow. It may be useful for imperative style programming when you don't
+exception to stop the flow. It may be useful for imperative-style programming when you don't
 want to continue evaluating other possible transitions and exit immediately.
 
 * Single validator: `validators="validator"`

docs/index.md

@@ -17,6 +17,7 @@ mixins
 integrations
 diagram
 processing_model
+api
 auto_examples/index
 contributing
 authors

docs/integrations.md

@@ -3,19 +3,21 @@
 
 ## Django integration
 
-When used in a Django App, this library implements an auto-discovery hook similar to how Django's built-in **admin** [autodiscover](https://docs.djangoproject.com/en/dev/ref/contrib/admin/#django.contrib.admin.autodiscover).
+When used in a Django App, this library implements an auto-discovery hook similar to how Django's
+built-in **admin** [autodiscover](https://docs.djangoproject.com/en/dev/ref/contrib/admin/#django.contrib.admin.autodiscover).
 
 > This library attempts to import an **statemachine** or **statemachines** module in each installed
 > application. Such modules are expected to register `StateMachine` classes to be used with
 > the {ref}`MachineMixin`.
 
 
 ```{hint}
-When using `python-statemachine` to control the state of a Django model, we advise keeping the ``StateMachine`` definitions on their modules.
+When using `python-statemachine` to control the state of a Django model, we advise keeping the
+{ref}`StateMachine` definitions on their own modules.
 
 So as circular references may occur, and as a way to help you organize your
 code, if you put state machines on modules named as mentioned above inside installed
-Django Apps, these `StateMachine` classes will be automatically
+Django Apps, these {ref}`StateMachine` classes will be automatically
 imported and registered.
 
 This is only an advice, nothing stops you do declare your state machine alongside your models.

docs/mixins.md

@@ -1,7 +1,7 @@
 
 # Mixins
 
-Your model can be inherited from a custom mixin to auto-instantiate a state machine.
+Your {ref}`domain models` can be inherited from a custom mixin to auto-instantiate a {ref}`statemachine`.
 
 ## MachineMixin
 

docs/models.md

@@ -13,16 +13,15 @@ If you don't pass an explicit model instance, this simple `Model` will be used:
 :linenos:
 ```
 
-```{eval-rst}
-.. autoclass:: statemachine.model.Model
-    :members:
-```
 
 ```{seealso}
-See the {ref}`sphx_glr_auto_examples_order_control_rich_model_machine.py` as example of using a domain object to hold attributes and methods to be used on the `StateMachine` definition.
+See the {ref}`sphx_glr_auto_examples_order_control_rich_model_machine.py` as example of using a
+domain object to hold attributes and methods to be used on the `StateMachine` definition.
 ```
 
 ```{hint}
-Domain models are registered as {ref}`observers`, so you can have the same level of functionalities provided to the built-in `StateMachine`, such as implementing all callbacks and guards on your domain model and keeping only the definition of states and transitions on
-the `StateMachine`.
+Domain models are registered as {ref}`observers`, so you can have the same level of functionalities
+provided to the built-in {ref}`StateMachine`, such as implementing all {ref}`actions` and
+{ref}`guards` on your domain model and keeping only the definition of {ref}`states` and
+{ref}`transitions` on the {ref}`StateMachine`.
 ```

docs/releases/1.0.1.md

@@ -21,7 +21,7 @@ This is the last release to support Python 2.7, 3.5, and 3.6.
 ## What's new in 1.0
 
 
-### Validators and Guards
+### Added validators and Guards
 
 Transitions now support `cond` and `unless` parameters, to restrict
 the execution.