def build_attr(i, ex, args, meta_args):
"""Set/get attribute on object"""
i.name = hive.attribute("str")
i.value = hive.attribute(meta_args.attribute_type)
i.object_ = hive.attribute(meta_args.object_type)
i.pull_name = hive.pull_in(i.name)
i.pull_object = hive.pull_in(i.object_)
ex.object_ = hive.antenna(i.pull_object)
ex.name = hive.antenna(i.pull_name)
if meta_args.mode == "set":
i.push_value = hive.push_in(i.value)
ex.value = hive.antenna(i.push_value)
i.do_set_attr = hive.modifier(do_setattr)
hive.trigger(i.push_value, i.pull_object)
hive.trigger(i.pull_object, i.pull_name)
hive.trigger(i.pull_name, i.do_set_attr)
else:
i.pull_value = hive.pull_out(i.value)
ex.value = hive.output(i.pull_value)
i.do_get_attr = hive.modifier(do_getattr)
hive.trigger(i.pull_value, i.pull_object, pretrigger=True)
hive.trigger(i.pull_object, i.pull_name)
hive.trigger(i.pull_name, i.do_get_attr)
def build_item(i, ex, args, meta_args):
"""Set/get item in object"""
i.name = hive.attribute(meta_args.index_type)
i.value = hive.attribute(meta_args.item_type)
i.container_ = hive.attribute(meta_args.container_type)
i.pull_name = hive.pull_in(i.name)
i.pull_container = hive.pull_in(i.container_)
ex.container_ = hive.antenna(i.pull_container)
ex.name = hive.antenna(i.pull_name)
if meta_args.mode == "set":
i.push_value = hive.push_in(i.value)
ex.value = hive.antenna(i.push_value)
i.do_set_attr = hive.modifier(do_setitem)
hive.trigger(i.push_value, i.pull_container)
hive.trigger(i.pull_container, i.pull_name)
hive.trigger(i.pull_name, i.do_set_attr)
else:
i.pull_value = hive.pull_out(i.value)
ex.value = hive.output(i.pull_value)
i.do_get_attr = hive.modifier(do_getitem)
hive.trigger(i.pull_value, i.pull_container, pretrigger=True)
hive.trigger(i.pull_container, i.pull_name)
hive.trigger(i.pull_name, i.do_get_attr)
def build_foreach(i, ex, args, meta_args):
"""Iterate over iterable object"""
# Set iterable
i.iterable = hive.variable("$iterable[int]")
i.pull_iterable = hive.pull_in(i.iterable)
ex.iterable = hive.antenna(i.pull_iterable)
i.do_trig = hive.triggerfunc()
i.trig_in = hive.triggerable(i.do_trig)
ex.start = hive.entry(i.trig_in)
i.break_ = hive.variable('bool', False)
i.item = hive.variable(meta_args.data_type)
i.push_item = hive.push_out(i.item)
ex.item = hive.output(i.push_item)
i.index = hive.variable('int', 0)
i.pull_index = hive.pull_out(i.index)
ex.index = hive.output(i.pull_index)
i.finished = hive.triggerfunc()
i.do_break = hive.modifier(do_break)
ex.break_ = hive.entry(i.do_break)
ex.finished = hive.hook(i.finished)
i.iter = hive.modifier(do_iter)
hive.trigger(i.do_trig, i.pull_iterable)
hive.trigger(i.do_trig, i.iter)
def build_convert(i, ex, args, meta_args):
i.value_in = hive.variable(meta_args.from_data_type)
i.value_out = hive.variable(meta_args.to_data_type)
# For push in, push out
if meta_args.mode == "push":
i.ppin = hive.push_in(i.value_in)
i.ppout = hive.push_out(i.value_out)
hive.trigger(i.ppin, i.ppout)
else:
i.ppin = hive.pull_in(i.value_in)
i.ppout = hive.pull_out(i.value_out)
hive.trigger(i.ppout, i.ppin, pretrigger=True)
ex.value_in = hive.antenna(i.ppin)
ex.value_out = hive.output(i.ppout)
# For casting (explicit conversion)
if meta_args.conversion == "cast":
to_base_type_name = hive.get_base_data_type(meta_args.to_data_type)
value_cls = _type_map[to_base_type_name]
def converter(self):
self._value_out = value_cls(self._value_in)
i.do_conversion = hive.modifier(converter)
hive.trigger(i.ppout, i.do_conversion, pretrigger=True)
# For duck typing, move value through
else:
i.move_value = hive.modifier(move_value)
hive.trigger(i.ppin, i.move_value)
def build_count(i, ex, args):
"""Simple integer counter"""
args.start_value = hive.parameter("int", 0)
ex.count = hive.attribute("int", args.start_value)
i.do_count_up = hive.modifier(do_count_up)
ex.increment = hive.entry(i.do_count_up)
i.do_count_down = hive.modifier(do_count_down)
ex.decrement = hive.entry(i.do_count_down)
i.count_out = hive.push_out(ex.count)
ex.count_out = hive.output(i.count_out)
def build_set(i, ex, args, meta_args):
"""Perform set operation on single sets"""
i.set_ = hive.attribute('set', set())
i.pull_set_ = hive.pull_out(i.set_)
ex.set_out = hive.output(i.pull_set_)
i.push_set_ = hive.push_in(i.set_)
ex.set_ = hive.antenna(i.push_set_)
# Pop item
i.popped_item = hive.attribute(meta_args.data_type)
i.pull_pop = hive.pull_out(i.popped_item)
ex.pop = hive.output(i.pull_pop)
def do_pop(self):
self._popped_item = self._set_.pop()
i.do_pop = hive.modifier(do_pop)
hive.trigger(i.pull_pop, i.do_pop, pretrigger=True)
# Add item
i.to_add = hive.attribute(meta_args.data_type)
i.push_to_add = hive.push_in(i.to_add)
ex.add = hive.antenna(i.push_to_add)
def to_add(self):
self._set_.add(self._to_add)
i.do_add = hive.modifier(to_add)
hive.trigger(i.push_to_add, i.do_add)
# Remove item
i.to_remove = hive.attribute(meta_args.data_type)
i.push_to_remove = hive.push_in(i.to_remove)
ex.remove = hive.antenna(i.push_to_remove)
def do_remove(self):
self._set_.remove(self._to_remove)
i.do_remove = hive.modifier(do_remove)
hive.trigger(i.push_to_remove, i.do_remove)
def do_clear(self):
self._set_.clear()
i.do_clear = hive.modifier(do_clear)
ex.clear = hive.entry(i.do_clear)
def build_operator(i, ex, args, meta_args):
"""HIVE interface to python mathematical operators"""
assert meta_args.operator in operators
op = operators[meta_args.operator]
i.a = hive.attribute(meta_args.data_type)
i.b = hive.attribute(meta_args.data_type)
i.pull_a = hive.pull_in(i.a)
ex.a = hive.antenna(i.pull_a)
i.pull_b = hive.pull_in(i.b)
ex.b = hive.antenna(i.pull_b)
hive.trigger(i.pull_a, i.pull_b)
i.result = hive.attribute(meta_args.data_type)
i.pull_result = hive.pull_out(i.result)
ex.result = hive.output(i.pull_result)
def calc(self):
self._result = op(self._a, self._b)
i.run_operator = hive.modifier(calc)
hive.trigger(i.pull_a, i.run_operator)
hive.trigger(i.pull_result, i.pull_a, pretrigger=True)
def build_set(i, ex, args):
"""Perform set operation on two sets"""
i.a = hive.variable('set')
i.pull_a = hive.pull_in(i.a)
ex.a = hive.antenna(i.pull_a)
i.b = hive.variable('set')
i.pull_b = hive.pull_in(i.b)
ex.b = hive.antenna(i.pull_b)
i.result = hive.variable('set')
for op_name, op in SET_SET_OPERATIONS.items():
pull_op = hive.pull_out(i.result)
setattr(i, "pull_{}".format(op_name), pull_op)
setattr(ex, op_name, hive.output(pull_op))
def do_operation(self):
self._result = op(self._a, self._b)
mod = hive.modifier(do_operation)
setattr(i, "do_{}".format(op_name), mod)
hive.trigger(pull_op, i.pull_a, pretrigger=True)
hive.trigger(pull_op, mod, pretrigger=True)
hive.trigger(i.pull_a, i.pull_b)
def build_unpack_tuple(i, ex, args, meta_args):
"""Unpack a tuple from individual inputs"""
i.tuple_ = hive.attribute('tuple')
i.push_tuple = hive.push_in(i.tuple_)
ex.tuple_ = hive.antenna(i.push_tuple)
for index, data_type in enumerate(meta_args.types):
attr = hive.attribute(data_type)
setattr(i, "attr_{}".format(index), attr)
pull_out = hive.pull_out(attr)
setattr(i, "pull_out_{}".format(index), pull_out)
setattr(ex, "item_{}".format(index), hive.output(pull_out))
def do_unpack_tuple(self):
tuple_ = self._tuple_
data_types = meta_args.types
assert len(tuple_) == len(data_types)
for index, item in enumerate(tuple_):
setattr(self, "_attr_{}".format(index), item)
i.do_unpack_tuple = hive.modifier(do_unpack_tuple)
hive.trigger(i.push_tuple, i.do_unpack_tuple)
def build_decompose(i, ex, args):
"""Decompose complex number into real and imaginary components"""
i.value = hive.attribute('complex')
i.real = hive.attribute('float')
i.imag = hive.attribute('float')
i.pull_imag = hive.pull_out(i.imag)
i.pull_real = hive.pull_out(i.real)
ex.real = hive.output(i.pull_real)
ex.imag = hive.output(i.pull_imag)
i.pull_value = hive.pull_in(i.value)
ex.value = hive.antenna(i.pull_value)
def build_value(self):
value = self._value
self._real = value.real
self._imag = value.imag
i.build_value = hive.modifier(build_value)
hive.trigger(i.pull_imag, i.pull_value, pretrigger=True)
hive.trigger(i.pull_real, i.pull_value, pretrigger=True)
hive.trigger(i.pull_value, i.build_value)
def build_and(i, ex, args):
ex.a_value = hive.attribute(("bool", ), False)
ex.b_value = hive.attribute(("bool", ), False)
i.a = hive.pull_in(ex.a_value)
i.b = hive.pull_in(ex.b_value)
ex.a = hive.antenna(i.a)
ex.b = hive.antenna(i.b)
def on_and(h):
h._pull_inputs()
if h.a_value and h.b_value:
h.trig_out()
i.trig_out = hive.triggerfunc()
i.trig_in = hive.modifier(on_and)
# Update attributes before calling modifier
i.pull_inputs = hive.triggerfunc()
hive.trigger(i.pull_inputs, i.a, pretrigger=True)
hive.trigger(i.pull_inputs, i.b, pretrigger=True)
ex.trig_out = hive.hook(i.trig_out)
ex.trig_in = hive.entry(i.trig_in)
def build_range(i, ex, args):
"""A range iterator hive"""
i.min_value = hive.variable("int")
i.max_value = hive.variable("int")
i.step = hive.variable("int")
i.pull_min_value = hive.pull_in(i.min_value)
i.pull_max_value = hive.pull_in(i.max_value)
i.pull_step = hive.pull_in(i.step)
ex.min_value = hive.antenna(i.pull_min_value)
ex.max_value = hive.antenna(i.pull_max_value)
ex.step = hive.antenna(i.pull_step)
i.iterator = hive.variable("int")
def get_range(self):
self._iterator = range(self._min_value, self._max_value, self._step)
i.get_range = hive.modifier(get_range)
i.pull_iterator = hive.pull_out(i.iterator, "iterator")
ex.iterator = hive.output(i.pull_iterator)
hive.trigger(i.pull_iterator, i.pull_min_value, pretrigger=True)
hive.trigger(i.pull_iterator, i.pull_max_value, pretrigger=True)
hive.trigger(i.pull_iterator, i.pull_step, pretrigger=True)
hive.trigger(i.pull_iterator, i.get_range, pretrigger=True)
def build_call(i, ex, args, meta_args):
func = create_func(meta_args.declaration)
spec = signature(func)
for name, parameter in spec.parameters.items():
if parameter.annotation is parameter.empty:
raise ValueError("Expected annotation for parameter '{}'".format(name))
attr = hive.attribute(parameter.annotation)
pull_in = hive.pull_in(attr)
antenna = hive.antenna(pull_in)
setattr(i, name, attr)
setattr(i, "pull_{}".format(name), pull_in)
setattr(ex, name, antenna)
wrapped_func = create_wrapper_func(meta_args.declaration, spec.parameters)
i.modifier = hive.modifier(wrapped_func)
return_type = spec.return_annotation
if return_type is spec.empty:
raise ValueError("Expected annotation for return parameter")
i.result = hive.attribute(return_type)
i.pull_result = hive.pull_out(i.result)
ex.result = hive.output(i.pull_result)
hive.trigger(i.pull_result, i.modifier, pretrigger=True)
def build_scene(cls, i, ex, args):
i.bge_scene = hive.property(cls, "scene")
ex.get_entity_id = hive.plugin(cls.get_entity_id, identifier="entity.get")
ex.get_position_absolute = hive.plugin(
cls.get_position_absolute, identifier="entity.position.absolute.get")
ex.get_position_relative = hive.plugin(
cls.get_position_relative, identifier="entity.position.relative.get")
ex.get_orientation_absolute = hive.plugin(
cls.get_orientation_absolute,
identifier="entity.orientation.absolute.get")
ex.get_orientation_relative = hive.plugin(
cls.get_orientation_relative,
identifier="entity.orientation.relative.get")
ex.spawn_entity = hive.plugin(cls.spawn_entity, identifier="entity.spawn")
ex.get_scene = hive.plugin(cls.get_scene, identifier="entity.get_current")
import dragonfly
ex.on_tick = dragonfly.event.Tick()
def f(self):
print("I")
if not hasattr(self, 'a'):
self.a = 1
self.spawn_entity.plugin()("Cube", "c1")
i.mod_tick = hive.modifier(f)
hive.trigger(ex.on_tick, i.mod_tick)
def build_expression(i, ex, args, meta_args):
"""Execute bound expression for provided inputs and output result"""
ast_node = ast.parse(meta_args.expression, mode='eval')
visitor = NodeVisitor()
visitor.visit(ast_node)
visited_nodes = visitor.visited_nodes
variable_names = [x.id for x in visited_nodes if isinstance(x, ast.Name)]
i.result = hive.attribute(meta_args.result_type)
i.pull_result = hive.pull_out(i.result)
ex.result = hive.output(i.pull_result)
for name in variable_names:
attribute = hive.attribute()
setattr(i, name, attribute)
pull_in = hive.pull_in(attribute)
setattr(ex, name, hive.antenna(pull_in))
hive.trigger(i.pull_result, pull_in, pretrigger=True)
func = create_func(meta_args.expression, variable_names)
i.modifier = hive.modifier(func)
hive.trigger(i.pull_result, i.modifier, pretrigger=True)
def build_debug(i, ex, args):
def on_call(h):
print(h.message)
ex.message = hive.attribute(("str", ), "Triggered!")
i.trig_in = hive.modifier(on_call)
ex.trig_in = hive.entry(i.trig_in)
def build_print(i, ex, args):
"""Output object to Python stdout"""
ex.value = hive.variable()
i.value_in = hive.push_in(ex.value)
ex.value_in = hive.antenna(i.value_in)
i.func = hive.modifier(lambda self: print(self.value))
hive.trigger(i.value_in, i.func)
def build_some_instance(i, ex, args):
i.some_var = hive.attribute("str")
ex.on_tick = dragonfly.event.OnTick()
i.mod = hive.modifier(lambda self: print(self, self._some_var))
hive.connect(ex.on_tick, i.mod)
def on_stopped():
print("I am closed!")
ex.on_closed = hive.plugin(on_stopped, "on_stopped")
def build_while(i, ex, args):
"""Trigger output while condition is True"""
ex.condition = hive.attribute()
i.condition_in = hive.pull_in(ex.condition)
ex.condition_in = hive.antenna(i.condition_in)
i.trig = hive.triggerfunc()
ex.trig_out = hive.hook(i.trig)
i.trig_in = hive.modifier(do_while)
ex.trig_in = hive.entry(i.trig_in)
def build_dog(cls, i, ex, args, meta_args):
print(meta_args)
print("Invoked Builder")
args.name = hive.parameter("str")
ex.name = hive.property(cls, "name", "str", args.name)
for ix in range(meta_args.puppies):
mod = hive.modifier(lambda h: print("Puppy {} barked".format(h.name)))
setattr(i, "mod_{}".format(ix), mod)
setattr(ex, "bark_{}".format(ix), hive.entry(mod))
def build_normalise(i, ex, args):
"""Find the unit vector for a given vector"""
i.vector = hive.variable("vector")
i.pull_vector = hive.pull_in(i.vector)
ex.vector = hive.antenna(i.pull_vector)
i.result = hive.variable("vector")
i.pull_result = hive.pull_out(i.result)
ex.result = hive.output(i.pull_result)
i.calculate = hive.modifier(normalise_modifier)
hive.trigger(i.pull_result, i.calculate, pretrigger=True)
def build_determinant(i, ex, args):
"""Calculate the determinant (length) of a vector"""
i.vector = hive.variable("vector")
i.pull_vector = hive.pull_in(i.vector)
ex.vector = hive.antenna(i.pull_vector)
i.result = hive.variable("float")
i.pull_result = hive.pull_out(i.result)
ex.result = hive.output(i.pull_result)
i.calculate = hive.modifier(length_modifier)
hive.trigger(i.pull_result, i.calculate, pretrigger=True)
def build_generator(i, ex, args):
"""Define and instantiate a new generator when pulled"""
args.generator_body = hive.parameter(("str", "code"))
ex.generator = hive.variable()
ex.generator_body = hive.variable(("str", "code"), args.generator_body)
i.create_generator = hive.modifier(on_new_generator)
i.generator_out = hive.pull_out(ex.generator)
ex.generator_out = hive.output(i.generator_out)
hive.trigger(i.generator_out, i.create_generator, pretrigger=True)
def build_toggle(i, ex, args):
"""Toggle between two triggers"""
args.start_value = hive.parameter('bool', False)
i.toggle = hive.attribute("bool", args.start_value)
i.modifier = hive.modifier(evaluate_toggle)
ex.trig_in = hive.entry(i.modifier)
i.trig_a = hive.triggerfunc()
i.trig_b = hive.triggerfunc()
ex.trig_a = hive.hook(i.trig_a)
ex.trig_b = hive.hook(i.trig_b)
def build_apply(i, ex, args, meta_args):
"""Call callable object with provided inputs and output result"""
i.callable = hive.attribute(("object", "callable"))
i.pull_callable = hive.pull_in(i.callable)
ex.callable = hive.antenna(i.pull_callable)
i.modifier = hive.modifier(modifier)
i.result = hive.attribute(meta_args.result_type)
i.pull_result = hive.pull_out(i.result)
ex.result = hive.output(i.pull_result)
hive.trigger(i.pull_result, i.pull_callable, pretrigger=True)
hive.trigger(i.pull_result, i.modifier, pretrigger=True)
def build_format(i, ex, args, meta_args):
"""Interface to Python string value formatting"""
formatter = string.Formatter()
format_string = meta_args.format_string
fields = list(formatter.parse(format_string))
kwarg_fields = []
indexed_fields = []
i.result = hive.attribute('str')
i.result_out = hive.pull_out(i.result)
for index, field in enumerate(fields):
literal_text = field[1]
if literal_text is None:
continue
if not literal_text.isidentifier():
field_name = "field_{}".format(index)
indexed_fields.append(field_name)
else:
field_name = literal_text
kwarg_fields.append(field_name)
# Create IO
attr = hive.attribute()
setattr(i, field_name, attr)
in_attr = hive.pull_in(attr)
setattr(i, "{}_in".format(field_name), in_attr)
setattr(ex, field_name, hive.antenna(in_attr))
hive.trigger(i.result_out, in_attr, pretrigger=True)
ex.result = hive.output(i.result_out)
def do_format(self):
args = [
getattr(self, "_{}".format(attr_name))
for attr_name in indexed_fields
]
kwargs = {
attr_name: getattr(self, "_{}".format(attr_name))
for attr_name in kwarg_fields
}
self._result = formatter.format(format_string, *args, **kwargs)
i.func = hive.modifier(do_format)
hive.trigger(i.result_out, i.func, pretrigger=True)
def build_func(i, ex, args, meta_args):
"""Define callable object from expression"""
# Get AST and parse ags
ast_node = ast.parse(meta_args.definition, mode='exec')
assert isinstance(ast_node, ast.Module)
assert len(ast_node.body) == 1
func_def_ast = ast_node.body[0]
assert isinstance(func_def_ast, ast.FunctionDef)
visitor = FunctionDefinitionVisitor()
visitor.visit(ast_node)
# Build the function itself
user_namespace = {}
exec(meta_args.definition, user_namespace)
user_func = user_namespace[func_def_ast.name]
has_return = visitor.output_type_name is not function_no_return
# Define modifier source code (here, we will lookup the "user_func" name later)
function_call_str = "user_func({})".format(", ".join(
["self._{}".format(a) for a in visitor.antennae]))
result_body = result_str if has_return else ""
modifier_decl = modifier_str.format(function_call_str=function_call_str,
result_body=result_body)
# Build modifier function
namespace = {'user_func': user_func}
exec(modifier_decl, namespace)
modifier_func = namespace['modifier']
# Create modifier bees
i.modifier = hive.modifier(modifier_func)
ex.trigger = hive.entry(i.modifier)
i.pull_all_inputs = hive.triggerfunc()
# Create IO pins
for arg, (type_name, default) in visitor.antennae.items():
attr = hive.variable(type_name, start_value=default)
setattr(i, arg, attr)
pull_in = hive.pull_in(attr)
setattr(ex, arg, hive.antenna(pull_in))
hive.trigger(i.pull_all_inputs, pull_in, pretrigger=True)
if has_return:
result_name = 'result'
attr = hive.variable(visitor.output_type_name)
setattr(i, result_name, attr)
push_out = hive.push_out(attr)
setattr(ex, result_name, hive.output(push_out))
def build_iter(i, ex, args, meta_args):
"""Create iterator for object"""
i.iterable = hive.attribute()
i.pull_iterable = hive.pull_in(i.iterable)
ex.iterable = hive.antenna(i.pull_iterable)
i.iterator = hive.attribute("iterator")
i.pull_iterator = hive.pull_out(i.iterator)
ex.iterator = hive.output(i.pull_iterator)
i.do_iter = hive.modifier(do_iter)
hive.trigger(i.pull_iterator, i.pull_iterable, pretrigger=True)
hive.trigger(i.pull_iterable, i.do_iter)
def build_len(i, ex, args):
"""Determine length of object"""
i.object = hive.attribute()
i.pull_object = hive.pull_in(i.object)
ex.object = hive.antenna(i.pull_object)
i.length = hive.attribute('int')
i.pull_length = hive.pull_out(i.length)
ex.length = hive.output(i.pull_object)
i.do_length = hive.modifier(do_len)
hive.trigger(i.pull_length, i.pull_object, pretrigger=True)
hive.trigger(i.pull_object, i.do_length)
def build_import(i, ex, args):
"""Interface to python import mechanism"""
i.do_import = hive.modifier(do_import_from_path)
i.import_path = hive.variable("str")
i.pull_import_path = hive.pull_in(i.import_path)
ex.import_path = hive.antenna(i.pull_import_path)
i.module = hive.variable("module")
i.pull_module = hive.pull_out(i.module)
ex.module = hive.output(i.pull_module)
hive.trigger(i.pull_module, i.pull_import_path, pretrigger=True)
hive.trigger(i.pull_module, i.do_import, pretrigger=True)
