def refresh(_NEXUS):
''' should be able to add new scripts on the fly and then call this '''
unload()
global grammar
grammar = Grammar("si/kuli")
def refresh_sick_command():
server_proxy.terminate()
refresh(_NEXUS)
mapping = {
"launch sick IDE": Function(launch_IDE),
"launch sick server": Function(launch_server),
"refresh sick you Lee": Function(refresh_sick_command),
"sick shot": Key("cs-2"),
}
rule = MergeRule(name="sik", mapping=mapping)
gfilter.run_on(rule)
grammar.add_rule(rule)
grammar.load()
# start server
try:
# if the server is already running, this should go off without a hitch
start_server_proxy()
except Exception:
launch_server()
seconds5 = 5
control.nexus().timer.add_callback(server_proxy_timer_fn, seconds5)
def get_dragonfly_grammar(grammar, target, result_queue):
global RULES
RULES = {}
parser = CFGParser.fromstring(grammar)
dragonfly_rule_element = _get_dragonfly_rule_element(target, parser)
dragonfly_grammar = Grammar("G")
with result_queue.mutex:
result_queue.queue.clear()
class GrammarRule(Rule):
def process_recognition(self, node):
logger.info('Dragonfly node: %s', str(node))
result = node.value()
logger.info('Dragonfly result: %s', str(result))
flattened_string = result
if isinstance(result, list):
flattened_string = " ".join(flatten(result))
logger.info('Dragonfly flattened result: %s', str(flattened_string))
if not result_queue.empty():
logger.warn('There is already a message in the queue! %s', result_queue)
result_queue.put_nowait(flattened_string)
logger.debug("Dragonfly thread recognition Q [id=%s, qsize=%d]", id(result_queue), result_queue.qsize())
rule = GrammarRule(element=dragonfly_rule_element, exported=True)
dragonfly_grammar.add_rule(rule)
return dragonfly_grammar
def test_no_hypothesis(self):
"""
Check that if something that doesn't match any rule is mimicked, nothing
gets recognised.
"""
test1 = self.get_test_function()
test2 = self.get_test_function()
class TestRule(MappingRule):
mapping = {
"testing": Function(test1),
"<dictation>": Function(test2)
}
extras = [Dictation("dictation")]
g = Grammar("test")
g.add_rule(TestRule())
g.load()
self.assertTrue(g.loaded)
self.assert_mimic_failure(None)
self.assert_test_function_called(test1, 0)
self.assert_test_function_called(test2, 0)
self.assert_mimic_failure("")
self.assert_test_function_called(test1, 0)
self.assert_test_function_called(test2, 0)
self.assert_mimic_success("hello")
self.assert_test_function_called(test1, 0)
self.assert_test_function_called(test2, 1)
def generate_commands(list_of_functions):
global server_proxy
global grammar
mapping = {}
for fname in list_of_functions:
spec = " ".join(fname.split("_"))
mapping[spec] = Function(execute, fname=fname)
grammar.unload()
grammar = Grammar("sikuli")
grammar.add_rule(MappingRule(mapping=mapping, name="sikuli server"))
grammar.load()
def load():
global git_grammar
context = aenea.wrappers.AeneaContext(
ProxyAppContext(
match='regex',
app_id='(?i)(?:(?:DOS|CMD).*)|(?:.*(?:TERM|SHELL).*)',
),
AppContext(title='git'),
)
git_grammar = Grammar('git', context=context)
git_grammar.add_rule(GitRule())
git_grammar.load()
def start(self, queue):
#instantiating the grammar and rule
grammar = Grammar("passthrough")
rule = self.Passthrough()
#attaching the event
rule.textrecognition+=queue.put
#adding and loading rule
grammar.add_rule(rule)
grammar.load()
while 1:
pythoncom.PumpWaitingMessages()
time.sleep(.1)
def setupFinalDflyGrammar(self):
log.info("Setting up final grammar.")
assert not self.dflyGrammar
self.dflyGrammar = Grammar(self.fullName + "Grammar")
if self.finalDflyRule:
self.dflyGrammar.add_rule(self.finalDflyRule)
for r in self.independentRules:
self.dflyGrammar.add_rule(self.concreteRules[r])
loadStart = time.time()
self.dflyGrammar.load()
loadEnd = time.time()
log.info("Grammar load time: %ss" % (loadEnd - loadStart))
get_engine().set_exclusiveness(self.dflyGrammar, 1)
# These should never be recognized on their own, only as part of the
# master rule, quirk of dragonfly that you have to do this even though
# they're only pulled in by ruleref.
for r in self.seriesRules:
self.concreteRules[r].disable()
if self.terminatorRule:
self.concreteRules[self.terminatorRule].disable()
# independent rules only enabled via being a dependency need to have disable
# called on their dragonfly version so that they don't get recognized by
# themselves, same quirk.
notEnabledRules = self.dependencyRuleSet - self.baseRuleSet
for r in notEnabledRules:
self.concreteRules[r].disable()
# they're enabled by default, don't activate until explicitly made to
self.dflyGrammar.disable()
def recognize(spec, choices_values, timeout):
global RESULT
RESULT = None
grammar = Grammar("grammar")
extras = []
for name, choices in choices_values.iteritems():
extras.append(Choice(name, dict((c,c) for c in choices)))
Rule = type("Rule", (GrammarRule,),{"spec": spec, "extras": extras})
grammar.add_rule(Rule())
grammar.load()
future = time.time() + timeout
while time.time() < future:
if RESULT is not None:
break
pythoncom.PumpWaitingMessages()
time.sleep(.1)
grammar.unload()
print "RESULT:", RESULT
return RESULT
def reload_grammars():
unload()
global grammar
grammar = Grammar("to rule them all")
now = datetime.datetime.now()
print "begun reloading at %s:%s" % (now.hour, now.minute)
# reload module and re-add the rules imported from that module
global GRAMMAR_IMPORTS
for import_name in GRAMMAR_IMPORTS:
try:
reloader.reload(sys.modules[import_name])
import_rule = getattr(__import__(import_name, fromlist=["rules"]), "rules")
grammar.add_rule(import_rule)
print "Loaded module %s successfully" % import_name
except RuntimeError as runtime_error:
"There was an error in file %s" % import_name
print runtime_error, '\n', '\n'
except NameError as nameerror:
"Forgot something in file %s?" % import_name
print nameerror, '\n', '\n'
grammar.add_rule(get_reloader_rules()) # for the "reload grammar module" code in get_reloader_rules
grammar.load()
print "reloaded all modules"
def test_single_dictation(self):
"""
Test that the engine can handle a dragonfly rule using a Dictation element.
"""
test = self.get_test_function()
class TestRule(MappingRule):
mapping = {"<dictation>": Function(test)}
extras = [Dictation("dictation")]
g = Grammar("test")
g.add_rule(TestRule())
g.load()
self.assertTrue(g.loaded)
self.assert_mimic_success("hello")
self.assert_test_function_called(test, 1)
# Test that it works again
self.assert_mimic_success("hello")
self.assert_test_function_called(test, 2)
# Test again with multiple words
self.assert_mimic_success("hello world")
self.assert_test_function_called(test, 3)
Dictation("text3"),
Choice("enable_disable",
{"enable": 1, "disable": 0
}),
Choice("volume_mode",
{"mute": "mute", "up":"up", "down":"down"
}),
generate_CCR_choices.__func__()
]
defaults = {"n": 1, "nnv": 1,
"text": "", "volume_mode": "setsysvolume",
"enable":-1
}
grammar = Grammar('general')
grammar.add_rule(MainRule())
grammar.load()
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
ccr.unload()
sikuli.unload()
if settings.SETTINGS["miscellaneous"]["status_window_enabled"]:
utilities.report("\nWARNING: Status Window is an experimental feature, and there is a known freezing glitch with it.\n")
utilities.report("*- Starting " + settings.SOFTWARE_NAME + " -*")
class BananaRule(CompoundRule):
spec = "I like bananas [<text>]"
extras = [Dictation("text")]
def _process_recognition(self, node, extras):
print("I like bananas! (%s)" % extras.get("text", ""))
banana_rule.disable()
apple_rule.enable()
apple_rule = AppleRule()
banana_rule = BananaRule()
#---------------------------------------------------------------------------
# Create this module's grammar.
grammar = Grammar("fruit toggle")
grammar.add_rule(apple_rule)
grammar.add_rule(banana_rule)
#---------------------------------------------------------------------------
# Load the grammar instance and define how to unload it.
grammar.load()
# Unload function which will be called by natlink at unload time.
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
{"enable": True, "disable": False
}),
Choice("volume_mode",
{"mute": "mute", "up":"up", "down":"down"
}),
generate_ccr_choices.__func__(_NEXUS),
generate_sm_ccr_choices.__func__(_NEXUS),
IntegerRefST("monitor", 1, 10)
]
defaults = {"n": 1, "nnv": 1,
"text": "", "volume_mode": "setsysvolume",
"enable":-1
}
grammar = Grammar('general')
grammar.add_rule(MainRule())
grammar.add_rule(Again(_NEXUS))
grammar.add_rule(VanillaAlias(name="vanilla alias"))
grammar.load()
_NEXUS.merger.update_config()
_NEXUS.merger.merge(Inf.BOOT)
if settings.SETTINGS["miscellaneous"]["status_window_enabled"]:
print("\nWARNING: Status Window is an experimental feature, and there is a known freezing glitch with it.\n")
utilities.launch_status()
print("*- Starting " + settings.SOFTWARE_NAME + " -*")
IntegerRefST("n", 0, 100),
IntegerRefST("n1", 0, 100),
IntegerRefST("n2", 0, 100),
Choice("action", {
"kick": 0,
"psychic": 1,
"move": 2,
}),
Choice("point", {
"one": 1,
"two": 2,
}),
]
defaults = {
"pre": 0,
"pre1": 0,
"pre2": 0,
"action": 0,
}
#---------------------------------------------------------------------------
context = AppContext(title="rainbowgrid")
grammar = Grammar("rainbowgrid", context=context)
rule = GridControlRule(name="rainbow")
gfilter.run_on(rule)
grammar.add_rule(rule)
grammar.load()
'Open snippets':
Key('c-k,c-b'),
'prop snip':
Text('prop') + Key('tab'),
'See tour snip':
Text('ctor') + Key('tab'),
# Opening solutions
'Open solution':
Key("cs-o"),
}
extras = [
Integer('tab', 1, 10),
Integer('number', 0, 9999),
Dictation("text"),
Dictation("dashtext", default="").lower().replace(" ", "-"),
Dictation("nospace", default="").lower().replace(" ", ""),
]
context = AppContext(executable='devenv')
grammar = Grammar('Visual Studio', context=context)
grammar.add_rule(VisualStudioMappings())
grammar.load()
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
def __init__(self):
Grammar.__init__(self, name="config manager", context=None)
def test_dictation_with_other_elements(self):
"""
Test that the engine can handle dragonfly rules using dictation with other
elements.
This is being tested because the way dictation works for this engine is
different than how the other engines handle it: Sphinx needs utterance
pauses between grammar and dictation rule parts.
"""
test1 = self.get_test_function()
test2 = self.get_test_function()
class TestRule(MappingRule):
mapping = {
"hello <dictation>": Function(test1),
"<dictation> testing": Function(test2),
}
extras = [Dictation("dictation")]
g = Grammar("test")
g.add_rule(TestRule())
g.load()
self.assertTrue(g.loaded)
# Dictation and other elements are processed separately with pauses
self.assert_mimic_success("hello", "world") # test mapping 1
self.assert_test_function_called(test1, 1)
self.assert_test_function_called(test2, 0)
# Test with mapping 2
self.assert_mimic_success("testing", "testing")
# Test that it works again with mapping 1
self.reset_test_functions()
self.assert_mimic_success("hello", "world")
self.assert_test_function_called(test1, 1)
self.assert_test_function_called(test2, 0)
# Test with mapping 2 again
self.reset_test_functions()
self.assert_mimic_success("test", "testing")
self.assert_test_function_called(test1, 0)
self.assert_test_function_called(test2, 1)
# Test again with multiple words
self.reset_test_functions()
self.assert_mimic_success("hello", "hi there")
self.assert_test_function_called(test1, 1)
self.assert_test_function_called(test2, 0)
# And test again using mapping 2
self.reset_test_functions()
self.assert_mimic_success("test test test", "testing")
self.assert_test_function_called(test2, 1)
self.assert_test_function_called(test1, 0)
# Test incomplete sequences
self.reset_test_functions()
self.assert_mimic_success("hello") # start of mapping one
self.assert_test_function_called(test1, 0) # incomplete sequence
self.assert_mimic_success("test", "testing")
self.assert_test_function_called(test1,
1) # mapping one completely matched
# mapping two only partially matched with <dictation> as "testing"
self.assert_test_function_called(test2, 0)
Key("c-w,h"),
"window right":
Key("c-w,l"),
"window up":
Key("c-w,k"),
"window down":
Key("c-w,j"),
"terminal tabulator next":
Key("c-w") + Text(":tabn") + Key('enter'),
"terminal tabulator previous":
Key("c-w") + Text(":tabp") + Key('enter'),
}
# The main Python grammar rules are activated here
vimTerminalBootstrap = Grammar("vim terminal bootstrap")
vimTerminalBootstrap.add_rule(TerminalEnabler())
vimTerminalBootstrap.load()
terminalGrammer = Grammar("terminal grammar")
terminalGrammer.add_rule(TerminalCommands())
terminalGrammer.add_rule(TerminalDisabler())
terminalGrammer.load()
terminalGrammer.disable()
# Unload function which will be called by natlink at unload time.
def unload():
global terminalGrammer
if terminalGrammer: terminalGrammer.unload()
terminalGrammer = None
from dragonfly import (Grammar, AppContext, MappingRule, Dictation, Key, Text,
Integer, Mimic)
putty_context = AppContext(executable="putty")
bash_context = AppContext(title="bash")
grammar = Grammar("bash", context=(putty_context | bash_context))
noSpaceNoCaps = Mimic("\\no-caps-on") + Mimic("\\no-space-on")
rules = MappingRule(
name="bash",
mapping={
"term <n>":
Key('c-b') + Text("%(n)d"),
"term create":
Key('c-b, c'),
"term north":
Key('c-b, k'),
"term south":
Key('c-b, j'),
"term west":
Key('c-b, h'),
"term east":
Key('c-b, l'),
"term vertical":
Key('c-b, v'),
"term split":
Key('c-b, s'),
"term detach":
Key('c-b, d'),
"term down [<n>]":
Key('c-b, colon') + Text("resize-pane -D %(n)d") + Key('enter'),
"(variable|variables)": "variable",
"( parameter | parameters)": "parameter",
"(module|modules)": "module",
"(import|imported) (value|item|object|element)":
"import value",
"function ( name |names)": "function name",
}),
]
defaults = {
"adjective": "None",
"ndir": 1,
"level_index": 1,
"big_roi_sub_index": 0,
"paste_back_index": 0,
}
#---------------------------------------------------------------------------
context = AppContext(executable="sublime_text")
grammar = Grammar("pvcp", context=context)
if settings.SETTINGS["apps"]["sublime"]:
if settings.SETTINGS["miscellaneous"]["rdp_mode"]:
control.nexus().merger.add_global_rule(NoobRule())
else:
rule = NoobRule(name="python voice coding plugin")
gfilter.run_on(rule)
grammar.add_rule(rule)
grammar.load()
"greater than or equal to": Text(">="),
}
class PHPMiscellaneousStuff(MappingRule):
mapping = {
"PHP block": Text("<?php ?>"),
"require": Text("require ('');"),
"require once": Text("require_once ('');"),
"include": Text("include ('');"),
"include once": Text("require_once ('');"),
"equals": Text(" = "),
}
phpBootstrap = Grammar(
"php bootstrap") # Create a grammar to contain the command rule.
phpBootstrap.add_rule(PHPEnabler())
phpBootstrap.load()
phpGrammar = Grammar("php grammar")
phpGrammar.add_rule(PHPTestRule())
phpGrammar.add_rule(PHPDataTypes())
phpGrammar.add_rule(PHPVariableDeclarations())
phpGrammar.add_rule(PHPCommentsSyntax())
phpGrammar.add_rule(PHPSuperGlobals())
phpGrammar.add_rule(PHPControlStructures())
phpGrammar.add_rule(PHPAccessModifiers())
phpGrammar.add_rule(PHPUsefulMethods())
phpGrammar.add_rule(PHPLogicalOperators())
phpGrammar.add_rule(PHPAssignmentOperators())
phpGrammar.add_rule(PHPArithmeticOperators())
from caster.lib.dfplus.state.short import R
class photoshopRule(MergeRule):
pronunciation = "Photo shop"
mapping = {
"new (file | pane)": R(Key("c-n"), rdescript="Photoshop: New File"),
"open file": R(Key("c-o"), rdescript="Photoshop: Open File"),
"close file": R(Key("c-w"), rdescript="Photoshop: Open File"),
"transform": R(Key("c-t"), rdescript="Photoshop: Open File"),
"new layer": R(Key("cs-n"), rdescript="Photoshop: New File"),
"open folder": R(Key("cs-o"), rdescript="Photoshop: Open Folder"),
"save as": R(Key("cs-s"), rdescript="Photoshop: Save As"),
}
extras = []
defaults = {}
context = AppContext(executable="photoshop", title="photoshop")
grammar = Grammar("photoshop", context=context)
if settings.SETTINGS["apps"]["photoshop"]:
if settings.SETTINGS["miscellaneous"]["rdp_mode"]:
control.nexus().merger.add_global_rule(photoshopRule())
else:
rule = photoshopRule()
gfilter.run_on(rule)
grammar.add_rule(photoshopRule(name="photoshop"))
grammar.load()
def test_recognition_observer(self):
"""
Test that the engine's recognition observer manager works correctly.
"""
on_begin_test = self.get_test_function()
on_recognition_test = self.get_test_function()
on_failure_test = self.get_test_function()
on_next_rule_part_test = self.get_test_function()
# Set up a custom observer using test methods
class TestObserver(RecognitionObserver):
on_begin = on_begin_test
on_next_rule_part = on_next_rule_part_test
on_recognition = on_recognition_test
on_failure = on_failure_test
# Set up a TestObserver instance and a grammar with multiple rules to use
observer = TestObserver()
observer.register()
grammar = Grammar("test")
grammar.add_rule(CompoundRule("rule1", "hello world"))
grammar.add_rule(
CompoundRule("rule2",
"say <dictation>",
extras=[Dictation("dictation")]))
grammar.load()
self.assertTrue(grammar.loaded)
# Test that each method is called properly
self.assert_mimic_success("hello world")
# on_begin is called during each mimic. on_recognition should be called
# once per successful and complete recognition. Both on_failure and
# on_next_rule_part shouldn't have been called yet.
self.assert_test_function_called(on_begin_test, 1)
self.assert_test_function_called(on_recognition_test, 1)
self.assert_test_function_called(on_failure_test, 0)
self.assert_test_function_called(on_next_rule_part_test, 0)
# Test with a dictation rule
self.assert_mimic_success("say")
# Recognition begins again, is incomplete and no failure yet.
self.assert_test_function_called(on_begin_test, 2)
self.assert_test_function_called(on_recognition_test, 1)
self.assert_test_function_called(on_failure_test, 0)
# on_next_rule_part should be called because there are more rule parts
self.assert_test_function_called(on_next_rule_part_test, 1)
# Test the next part of the dictation rule
self.assert_mimic_success("testing testing")
# Recognition begins again, is complete, and no failure yet.
self.assert_test_function_called(on_begin_test, 3)
self.assert_test_function_called(on_recognition_test, 2)
self.assert_test_function_called(on_failure_test, 0)
# on_next_rule_part shouldn't have been called because this is the last part
# and on_recognition will be called instead
self.assert_test_function_called(on_next_rule_part_test, 1)
# Recognition begins again and failure occurs.
self.assert_mimic_failure("testing")
self.assert_test_function_called(on_begin_test, 4)
self.assert_test_function_called(on_next_rule_part_test,
1) # no change
self.assert_test_function_called(on_failure_test, 1)
self.assert_test_function_called(on_recognition_test, 2)
# Test that using None or "" also calls the on_failure method
self.assert_mimic_failure(None)
self.assert_test_function_called(on_failure_test, 2)
self.assert_mimic_failure("")
self.assert_test_function_called(on_failure_test, 3)
self.assert_test_function_called(on_next_rule_part_test,
1) # no change
# Unregister the observer
observer.unregister()
'yarn <text>':
Key('cs-`') + Pause('10') + Text("yarn %(text)s") +
Key("enter"), #install, lint, clean, build, dev
'build wheel':
Key('cs-`') + Pause('10') + Text('./buildLoadWheelToCluster.sh') +
Key('enter'),
# 'test': bar("text"),
}
extras = [
Integer('tab', 1, 20),
Integer('number', 1, 9999),
Integer('n', 1, 9999),
Dictation("text"),
Dictation("nocaps", default="").lower(),
Dictation("camel_text", default="").camel(),
Dictation("snaketext", default="").lower().replace(" ", "_"),
]
context = AppContext(executable='code')
grammar = Grammar('Visual Studio Code', context=context)
grammar.add_rule(CodeMappings())
grammar.load()
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
for j in xrange(extras["n"]):
for sequence, count in macros.get(extras["m"], []):
for i in xrange(count):
time.sleep(KEYSTROKE_DELAY)
for action in sequence:
action.execute()
class MacroBegin(CompoundRule):
spec = "begin macro <n>"
extras = [IntegerRef("n", 0, 100)]
def _process_recognition(self, node, extras):
global active_macro
if active_macro is None:
active_macro = extras["n"]
macros[extras["n"]] = []
grammar = Grammar("voiceofarmok", context=df_context)
grammar.add_rule(RepeatRule())
grammar.add_rule(MacroBegin())
grammar.add_rule(MacroEnd())
grammar.add_rule(MacroPlay())
grammar.load()
def unload():
global grammar
if grammar:
grammar.unload()
grammar = None
from dragonfly import (Grammar, AppContext, MappingRule, Dictation, Integer,
Key, Text, Function)
from utils.format import (snake_case, pascal_case, kebab_case, camel_case)
def transform(text, transform_func):
result = transform_func(text)
return Text(f'{result}').execute()
grammar = Grammar("general")
class GeneralRule(MappingRule):
mapping = {
"tab": Key("tab"),
"enter": Key("enter"),
"dictate <text>": Text("%(text)s"),
"(dictate | type | say) snake [case] <text>": Function(
lambda text: transform(text, snake_case)),
"(dictate | type | say) pascal [case] <text>": Function(
lambda text: transform(text, pascal_case)),
"(dictate | type | say) kebab [case] <text>": Function(
lambda text: transform(text, kebab_case)),
"(dictate | type | say) camel [case] <text>": Function(
lambda text: transform(text, camel_case)),
}
extras = [Dictation("text")]
class SpecialCharacters(MappingRule):
mapping = {
"colon [symbol]": Key("colon"),
def test_long_sequence_rule(self):
"""
Test that the engine can recognise a long sequence rule and that the
timeout functionality works correctly.
"""
timeout = 0.1
self.engine.config.NEXT_PART_TIMEOUT = timeout
# Set up a test grammar with some rules
test1 = self.get_test_function()
test2 = self.get_test_function()
class TestRule(MappingRule):
mapping = {
"testing": Function(test1),
"testing <dictation> testing <dictation>": Function(test2),
}
extras = [Dictation("dictation")]
grammar = Grammar("test")
grammar.add_rule(TestRule())
grammar.load()
self.assertTrue(grammar.loaded)
# Test that mapping 2 can be recognised fully
self.assert_mimic_success("testing", "hello", "testing")
self.assert_mimic_success("hello")
self.assert_test_function_called(test2, 1)
self.assert_test_function_called(test1, 0)
# Start recognising mapping 2 again, then sleep for a bit
self.assert_mimic_success("testing")
time.sleep(timeout + 0.1)
# Only mapping 1 should have been processed
self.assert_test_function_called(test1, 1)
self.assert_test_function_called(test2, 1)
# Test that it works with a break shorter than the timeout value
self.assert_mimic_success("testing")
time.sleep(timeout / 2)
self.assert_mimic_success("hello")
time.sleep(timeout / 2)
self.assert_mimic_success("testing")
time.sleep(timeout / 2)
self.assert_mimic_success("hello")
self.assert_test_function_called(test2, 2)
# Test with a timeout of 0 (no timeout)
timeout = 0
self.engine.config.NEXT_PART_TIMEOUT = timeout
self.assert_mimic_success("testing")
time.sleep(0.1) # sleep for 100ms
self.assert_test_function_called(test2, 2) # no changes
# Test that mapping 1 won't process any more, even after a time.
self.assert_test_function_called(test1, 1)
# Mimicking the rest of the rule parts should make the rule process.
self.assert_mimic_success("hello", "testing", "hello")
self.assert_test_function_called(test2, 3)
from dragonfly import (Grammar, CompoundRule, Config, Section, Item)
import natlink
config = Config("snore");
config.lang = Section("Language section");
config.lang.snore = Item("snore", doc="Put the microphone to sleep")
class SnoreRule(CompoundRule):
spec = config.lang.snore
def _process_recognition(self, node, extras):
self._log.debug("sleepy mic")
natlink.setMicState("sleeping")
grammar = Grammar("snore")
grammar.add_rule(SnoreRule())
grammar.load()
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
rules = MappingRule(
name = "general",
mapping = {
"slap": Key("enter"),
"Max when": Key("w-up"),
"left when": Key("w-left"),
"right when": Key("w-right"),
"min win": Key("w-down"),
"switch apps": Key("alt:down, tab"),
"switch app": Key("a-tab"),
"termi": Key("w-b/10, s-tab/10, enter"),
"foxy": Key("w-b/10, s-tab/10, right:1/10, enter"),
"foxy reload": Key("w-b/10, s-tab/10, right:1/10, enter/10, f5"),
"Jimmy": Key("w-b/10, s-tab/10, right:2/10, enter"),
"Heidi": Key("w-b/10, s-tab/10, right:3/10, enter"),
"chrome": Key("w-b/10, s-tab/10, right:4/10, enter"),
"chrome reload": Key("w-b/10, s-tab/10, right:4/10, enter/10, f5"),
"bashing": Key("w-b/10, s-tab/10, right:5/10, enter"),
"code mode": Mimic("\\no-caps-on") + Mimic("\\no-space-on"),
}
)
grammar = Grammar("general")
grammar.add_rule(rules)
grammar.load()
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
from dragonfly import (Key, Grammar, Mimic,
Dictation, MappingRule, Text)
class MainRule(MappingRule):
mapping = {
"snore": Mimic("stop", "listening"),
}
grammar = Grammar("main")
grammar.add_rule(MainRule())
grammar.load()
'next': Key("c-tab"),
'previous': Key("cs-tab"),
'close': Key('c-w'),
}
extras = [
IntegerRef("n", 1, 10),
IntegerRef("int", 1, 10000),
Dictation("text"),
]
defaults = {
"n": 1,
}
#---------------------------------------------------------------------------
# Create and load this module's grammar.
#context = AppContext(executable="Foxit Reader")
#grammar = Grammar("foxit reader", context=context)
grammar = Grammar("foxit reader")
#grammar.add_rule(CommandRule())
grammar.add_rule(StaticRule())
grammar.load()
# Unload function which will be called by natlink at unload time.
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
from dragonfly import Grammar, CompoundRule
# Voice command rule combining spoken form and recognition processing.
class ExampleRule(CompoundRule):
spec = "do something computer" # Spoken form of command.
def _process_recognition(self, node, extras): # Callback when command is spoken.
print "Voice command spoken."
# Create a grammar which contains and loads the command rule.
grammar = Grammar("example grammar") # Create a grammar to contain the command rule.
grammar.add_rule(ExampleRule()) # Add the command rule to the grammar.
grammar.load() # Load the grammar.
class BaseMode:
quadrant3x3 = 0
quadrant4x3 = 0
speech_commands = {}
patterns = {}
toggles = {}
use_direct_keys = False
input_release_lag = 0
def __init__(self, modeSwitcher, is_testing=False, repeat_delay=REPEAT_DELAY, repeat_rate=REPEAT_RATE):
self.inputManager = InputManager(is_testing=is_testing, use_direct_keys=self.use_direct_keys, input_release_lag_ms=self.input_release_lag * 1000)
self.mode = "regular"
self.modeSwitcher = modeSwitcher
self.detector = PatternDetector(self.patterns)
self.pressed_keys = {}
self.should_drag = False
self.ctrlKey = False
self.shiftKey = False
self.altKey = False
if( SPEECHREC_ENABLED == True ):
from dragonfly import Grammar
from lib.grammar.simple_grammar import SimpleSpeechCommand
import pythoncom
self.grammar = Grammar("Simple")
self.simpleCommandRule = SimpleSpeechCommand(self.speech_commands, callback=self.toggle_speech)
self.grammar.add_rule( self.simpleCommandRule )
def start( self ):
update_overlay_image( "default" )
toggle_eyetracker()
def exit( self ):
if( self.mode == "speech" ):
self.toggle_speech()
update_overlay_image( "default" )
toggle_eyetracker()
def handle_input( self, dataDicts ):
self.detector.tick( dataDicts )
self.quadrant3x3 = self.detector.detect_mouse_quadrant( 3, 3 )
self.quadrant4x3 = self.detector.detect_mouse_quadrant( 4, 3 )
if( self.detect_silence() ):
self.stop_drag_mouse()
self.inputManager.release_non_toggle_keys()
# Recognize speech commands in speech mode
if( self.mode == "speech" ):
pythoncom.PumpWaitingMessages()
self.handle_speech( dataDicts )
# Regular quick command mode
elif( self.mode == "regular" ):
self.handle_sounds( dataDicts )
return self.detector.tickActions
def handle_speech( self, dataDicts ):
print( "No speech handler" )
return
def handle_sounds( self, dataDicts ):
print( "No sound handler" )
return
# Toggle between variables
# If the value is a list, turn them on in sequence after another
def toggle( self, value ):
if (isinstance(value, list)):
turned_on_index = -1
for index, key in enumerate(value):
if (key not in self.toggles):
self.toggles[key] = False
elif (self.toggles[key] == True):
turned_on_index = index
self.toggles[key] = False
next_index = turned_on_index + 1
if (next_index >= len(value)):
next_index = 0
self.toggles[value[next_index]] = True
else:
if (value not in self.toggles ):
self.toggles[value] = False
self.toggles[value] = not self.toggles[value]
def enable( self, value ):
if (isinstance(value, list)):
for index, key in enumerate(value):
self.toggles[key] = True
else:
self.toggles[value] = True
def disable( self, value ):
if (isinstance(value, list)):
for index, key in enumerate(value):
self.toggles[key] = False
else:
self.toggles[value] = False
def detect( self, key ):
if (key in self.toggles):
return self.toggles[key]
return self.detector.detect( key )
def detect_silence( self ):
return self.detector.detect_silence()
def drag_mouse( self ):
self.toggle_drag_mouse( True )
def stop_drag_mouse( self ):
self.toggle_drag_mouse( False )
def leftclick( self ):
self.inputManager.click(button='left')
def rightclick( self ):
self.inputManager.click(button='right')
def press( self, key ):
self.inputManager.press( key )
def hold( self, key, repeat_rate_ms=0 ):
self.inputManager.hold( key, repeat_rate_ms )
def release( self, key ):
self.inputManager.release( key )
def release_special_keys( self ):
self.inputManager.release_special_keys()
def toggle_speech( self ):
if( self.mode != "speech" ):
self.mode = "speech"
self.grammar.load()
print( "--- TOGGLING SPEECH RECOGNITION ON" )
else:
self.mode = "regular"
self.grammar.unload()
print( "--- TOGGLING SPEECH RECOGNITION OFF" )
toggle_speechrec()
# Drag mouse for selection purposes
def toggle_drag_mouse( self, should_drag ):
if( self.should_drag != should_drag ):
if( should_drag == True ):
self.inputManager.mouseDown()
else:
self.inputManager.mouseUp()
self.should_drag = should_drag
# Detect when the cursor is inside an area
def detect_inside_area( self, x, y, width, height ):
return self.detector.detect_inside_minimap( x, y, width, height )
def update_overlay( self ):
if( not( self.ctrlKey or self.shiftKey or self.altKey ) ):
update_overlay_image( "default" )
else:
modes = []
if( self.ctrlKey ):
modes.append( "ctrl" )
if( self.shiftKey ):
modes.append( "shift" )
if( self.altKey ):
modes.append( "alt" )
update_overlay_image( "mode-%s" % ( "-".join( modes ) ) )
"cap rubber set up remote aliases <text>": Text("RUBBER_ENV=") + Function(lib.format.lowercase_text) + Text(" cap rubber:setup_remote_aliases"),
"cap rubber set up D N S aliases <text>": Text("RUBBER_ENV=") + Function(lib.format.lowercase_text) + Text(" cap rubber:setup_dns_aliases"),
"cap rubber add role to <text>": Text("RUBBER_ENV=") + Function(lib.format.lowercase_text) + Text(" cap rubber:roles:add ROLES= ALIAS=") + Function(lib.format.lowercase_text),
"cap rubber create staging <text>": Text("RUBBER_ENV=") + Function(lib.format.lowercase_text) + Text(" cap rubber:create_staging"),
"cap rubber destroy staging <text>": Text("RUBBER_ENV=") + Function(lib.format.lowercase_text) + Text(" cap rubber:destroy_staging"),
"cap rubber monit start": Text("cap rubber:monit:start RUBBER_ENV="),
"cap rubber monit stop": Text("cap rubber:monit:stop RUBBER_ENV="),
"cap rubber (postgres|PostgreSQL) start": Text("cap rubber:postgresql:start RUBBER_ENV="),
"cap rubber (postgres|PostgreSQL) stop": Text("cap rubber:postgresql:stop RUBBER_ENV="),
}
)
class MyCommandsRule(MappingRule):
mapping = config.cmd.map
extras = [
Dictation("text"),
]
global_context = None # Context is None, so grammar will be globally active.
terminator_grammar = Grammar("Capistrano commands", context=global_context) # Create this module's grammar.
terminator_grammar.add_rule(MyCommandsRule()) # Add the top-level rule.
terminator_grammar.load() # Load the grammar.
def unload():
"""Unload function which will be called at unload time."""
global terminator_grammar
if grammar:
grammar.unload()
grammar = None
}
extras = [
Dictation("text"),
IntegerRefST("n", 1, 1000),
Boolean("back"),
]
defaults = {"n": 1, "back": False}
#---------------------------------------------------------------------------
context = AppContext(executable="javaw", title="Eclipse") | AppContext(
executable="eclipse",
title="Eclipse") | AppContext(executable="AptanaStudio3")
grammar = Grammar("Eclipse", context=context)
if settings.SETTINGS["apps"]["eclipse"]:
# if settings.SETTINGS["miscellaneous"]["rdp_mode"]:
# control.nexus().merger.add_global_rule(EclipseRule())
# control.nexus().merger.add_global_rule(EclipseCCR())
# else:
# control.nexus().merger.add_app_rule(EclipseCCR(), context)
rule = EclipseRule(name="eclipse")
gfilter.run_on(rule)
ccr = EclipseCCR()
gfilter.run_on(ccr)
grammar.add_rule(rule)
grammar.add_rule(ccr)
grammar.load()
# Here we define this rule's spoken-form and special elements.
spec = "<sequence> [[[and] repeat [that]] <n> times]"
extras = [
sequence, # Sequence of actions defined above.
IntegerRef("n", 1, 100), # Times to repeat the sequence.
]
defaults = {
"n": 1, # Default repeat count.
}
def _process_recognition(self, node, extras): # @UnusedVariable
sequence = extras["sequence"] # A sequence of actions.
count = extras["n"] # An integer repeat count.
for i in range(count): # @UnusedVariable
for action in sequence:
action.execute()
release.execute()
grammar = Grammar("Generic edit", context=GlobalDynamicContext())
grammar.add_rule(RepeatRule()) # Add the top-level rule.
grammar.load() # Load the grammar.
def unload():
"""Unload function which will be called at unload time."""
global grammar
if grammar:
grammar.unload()
grammar = None
mapping = {
"address bar":
R(Key("a-d"), rdescript="Explorer: Address Bar"),
"new folder":
R(Key("cs-n"), rdescript="Explorer: New Folder"),
"new file":
R(Key("a-f, w, t"), rdescript="Explorer: New File"),
"(show | file | folder) properties":
R(Key("a-enter"), rdescript="Explorer: Properties Dialog"),
}
extras = [
Dictation("text"),
IntegerRefST("n", 1, 1000),
]
defaults = {"n": 1}
#---------------------------------------------------------------------------
context = AppContext(executable="explorer")
grammar = Grammar("Windows Explorer", context=context)
if settings.SETTINGS["apps"]["explorer"]:
if settings.SETTINGS["miscellaneous"]["rdp_mode"]:
control.nexus().merger.add_global_rule(IERule())
else:
rule = IERule(name="explorer")
gfilter.run_on(rule)
grammar.add_rule(rule)
grammar.load()
#---------------------------------------------------------------------------
# Create the main command rule.
def swap_macros():
os.rename("c:/NatLink/NatLink/MacroSystem",
"c:/NatLink/NatLink/MacroSystem.temp")
os.rename("c:/NatLink/NatLink/MacroSystem.other",
"c:/NatLink/NatLink/MacroSystem")
os.rename("c:/NatLink/NatLink/MacroSystem.temp",
"c:/NatLink/NatLink/MacroSystem.other")
class CommandRule(MappingRule):
mapping = {
"swap macros directory": Function(swap_macros),
}
grammar = Grammar("safety")
grammar.add_rule(CommandRule())
grammar.load()
# Unload function which will be called by natlink at unload time.
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
extras = [
IntegerRef("n", 1, 10),
Dictation("room"),
]
defaults = {
"n": 1,
}
class ChatRule(MappingRule):
mapping = {
"at <user>": Text("@%(user)s "),
"send": Key("enter"),
}
extras = [
Choice("user", config.usernames.map),
]
context = AppContext(executable="hipchat")
terminator_grammar = Grammar("hipchat_general", context=context)
terminator_grammar.add_rule(NavigationRule())
terminator_grammar.add_rule(ChatRule())
terminator_grammar.load()
# Unload function which will be called by natlink at unload time.
def unload():
global terminator_grammar
if grammar: grammar.unload()
grammar = None
"vagrant up [with] virtual box":
Text("vagrant up --provider=virtualbox"),
"vagrant up [with] VMware":
Text("vagrant up --provider=vmware_workstation"),
"vagrant ssh":
Text("vagrant ssh"),
})
class MyCommandsRule(MappingRule):
mapping = config.cmd.map
extras = [
Dictation("text"),
]
terminator_grammar = Grammar(
"My commands",
context=GlobalDynamicContext()) # Create this module's grammar.
terminator_grammar.add_rule(MyCommandsRule()) # Add the top-level rule.
terminator_grammar.load() # Load the grammar.
def unload():
"""Unload function which will be called at unload time."""
global terminator_grammar
if grammar:
grammar.unload()
grammar = None
nexus.comm.get_com("hmc").do_action("dir")
def hmc_confirm(value, nexus):
nexus.comm.get_com("hmc").do_action(value)
def hmc_settings_complete(nexus):
nexus.comm.get_com("hmc").complete()
class HMCRule(MappingRule):
mapping = {
"kill homunculus": R(Function(kill, nexus=_NEXUS), rdescript="Kill Helper Window"),
"complete": R(Function(complete, nexus=_NEXUS), rdescript="Complete Input")
}
grammar = Grammar("hmc", context=AppContext(title=settings.HOMUNCULUS_VERSION))
grammar.add_rule(HMCRule())
grammar.load()
class HMCHistoryRule(MappingRule):
mapping = {
# specific to macro recorder
"check <n>": R(Function(hmc_checkbox, nexus=_NEXUS), rdescript="Check Checkbox"),
"check from <n> to <n2>": R(Function(hmc_recording_check_range, nexus=_NEXUS), rdescript="Check Range"),
"exclude <n>": R(Function(hmc_recording_exclude, nexus=_NEXUS), rdescript="Uncheck Checkbox"),
"[make] repeatable": R(Function(hmc_recording_repeatable, nexus=_NEXUS), rdescript="Make Macro Repeatable")
}
extras = [
IntegerRefST("n", 1, 25),
IntegerRefST("n2", 1, 25),
]
from dragonfly import (Grammar, AppContext, MappingRule, Dictation,
Key, Text, FocusWindow, IntegerRef, Choice,
Pause)
from dragonglue import LinuxAppContext
#---------------------------------------------------------------------------
# Create this module's grammar and the context under which it'll be active.
context = LinuxAppContext(executable='pycharm')
grammar = Grammar("pycharm", context=context)
#---------------------------------------------------------------------------
# Create a mapping rule which maps things you can say to actions.
#
# Note the relationship between the *mapping* and *extras* keyword
# arguments. The extras is a list of Dragonfly elements which are
# available to be used in the specs of the mapping. In this example
# the Dictation("text")* extra makes it possible to use "<text>"
# within a mapping spec and "%(text)s" within the associated action.
example_rule = MappingRule(
name="pycharm", # The name of the rule.
mapping={
'command': Key('cs-a'),
'command <text>': Key('cs-a/5') + Text('%(text)s'),
# file and editor navigation
'[Activate] editor': Key('escape:2'),
'close [file]': Key('c-f4'),
'close tab': Key('c-f4'),
# Protocols.
"protocol H T T P": Text("http://"),
"protocol H T T P S": Text("https://"),
"protocol (git|G I T)": Text("git://"),
"protocol F T P": Text("ftp://"),
"protocol S S H": Text("ssh://"),
},
extras=[
IntegerRef("n", 1, 100),
Dictation("text"),
],
defaults={
"n": 1
}
)
context = None
if config.get("aenea.enabled", False) == True:
context = aenea.global_context
grammar = Grammar("Programming help", context=context)
grammar.add_rule(series_rule)
grammar.load()
# Unload function which will be called at unload time.
def unload():
global grammar
if grammar:
grammar.unload()
grammar = None
class LockRule(CompoundRule):
spec = config.lang.lock_screen
def _process_recognition(self, node, extras):
self._log.debug("%s: locking screen." % self)
# Put the microphone to sleep.
natlink.setMicState("sleeping")
# Lock screen.
success = ctypes.windll.user32.LockWorkStation()
if not success:
self._log.error("%s: failed to lock screen." % self)
# ---------------------------------------------------------------------------
# Create and manage this module's grammar.
grammar = Grammar("lock screen")
grammar.add_rule(LockRule())
grammar.load()
def unload():
global grammar
if grammar:
grammar.unload()
grammar = None
"refresh": R(Function(navigation.mouse_alternates, mode="legion"), rdescript="Legion: Refresh"),
"exit | escape | cancel": R(Function(kill), rdescript="Exit Legion"),
}
extras = [
Choice("action", {
"kick": 0,
"psychic": 1,
"light": 2,
}
),
IntegerRef("n", 0, 1000),
]
defaults = {
"action":-1,
}
#---------------------------------------------------------------------------
context = AppContext(title="legiongrid")
grammar = Grammar("legiongrid", context=context)
grammar.add_rule(GridControlRule())
grammar.load()
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
from dragonfly import (Grammar, Dictation, Context, MappingRule, Pause)
from proxy_nicknames import Key, Text, Events, AppRegexContext
from raul import SelfChoice, processDictation, NUMBERS as numbers
from _mac import *
import aenea
adium_context = aenea.global_context & AppRegexContext(name="Adium")
grammar = Grammar("adium", context=adium_context)
class AlfredCommand(MappingRule):
mapping = {
"search": Events("key->code=44&modifier=command"),
"[<text>]": Events("text->%(text)s")
}
extras = [Dictation("text")]
defaults = {"text":"", "n":1}
grammar.add_rule(AlfredCommand())
grammar.load()
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
from dragonfly import (Grammar, AppContext, MappingRule, Dictation, IntegerRef,
Key, Text)
grammar = Grammar("common")
general_rule = MappingRule(
name = "general",
mapping = {
#"kay": Key("enter"),
#"slap": Key("enter"),
#"left": Key("left"),
#"right": Key("right"),
#"say <text>": Text("%(text)s"),
},
extras = [
Dictation("text"),
],
)
common_name_rule = MappingRule(
name = "common names",
mapping = {
"T. M. P.": Text("tmp"),
},
extras = [
],
)
#grammar.add_rule(general_rule)
def test_sequence_timeout(self):
"""
Test that when speaking subsequent parts of rules involving Dictation
elements, the recognition times out if there is a timeout period set.
"""
# Set a timeout period for this test of 100 ms, which is unreasonable for
# humans, but fine for mimic().
timeout = 0.1
self.engine.config.NEXT_PART_TIMEOUT = timeout
# Set up a test grammar with some rules
test1 = self.get_test_function()
test2 = self.get_test_function()
class TestRule(MappingRule):
mapping = {
"say <dictation>": Function(test1),
"hello world": Function(test2),
}
extras = [Dictation("dictation")]
grammar = Grammar("test")
grammar.add_rule(TestRule())
grammar.load()
self.assertTrue(grammar.loaded)
# Test that mapping 1 can be recognised fully
self.assert_mimic_success("say", "hello")
self.assert_test_function_called(test1, 1)
# Start recognising mapping 1 again, then sleep for a bit
self.assert_mimic_success("say")
time.sleep(timeout)
# The rest of mapping 1 should not match
self.assert_mimic_failure("testing")
self.assert_test_function_called(test1, 1) # still only called 1 time
# Should be able to match mapping 2 now
self.assert_mimic_success("hello world")
self.assert_test_function_called(test2, 1)
# Test that it works with a break shorter than the timeout value
self.assert_mimic_success("say")
time.sleep(timeout / 2)
self.assert_mimic_success("hello")
self.assert_test_function_called(test1, 2)
# Test with a timeout of 0 (no timeout)
timeout = 0
self.engine.config.NEXT_PART_TIMEOUT = timeout
self.assert_mimic_success("say")
time.sleep(0.1) # sleep for 100ms
self.assert_test_function_called(test1, 2) # no change
self.assert_mimic_success("testing")
self.assert_test_function_called(test1, 3)
# Test without a sleep between rule parts
self.assert_mimic_success("say", "testing")
self.assert_test_function_called(test1, 4)
# Test that mapping 2 still has no issue matching
self.assert_mimic_success("hello world")
self.assert_test_function_called(test2, 2)
'com off': R(Playback([(["command", "mode", "off"], 0.0)]), rdescript="Dragon: Command Mode (Off)"),
'scratch': R(Playback([(["scratch", "that"], 0.0)]), rdescript="Dragon: 'Scratch That'"),
"reboot dragon": R(Function(utilities.reboot), rdescript="Reboot Dragon Naturallyspeaking"),
"fix dragon double": R(Function(fix_dragon_double), rdescript="Fix Dragon Double Letter"),
"add word to vocabulary": R(Function(vocabulary_processing.add_vocab), rdescript="Vocabulary Management: Add"),
"delete word from vocabulary": R(Function(vocabulary_processing.del_vocab), rdescript="Vocabulary Management: Delete"),
"left point": R(Playback([(["MouseGrid"], 0.1), (["four", "four"], 0.1), (["click"], 0.0)]), rdescript="Mouse: Left Point"),
"right point": R(Playback([(["MouseGrid"], 0.1), (["six", "six"], 0.1), (["click"], 0.0)]), rdescript="Mouse: Right Point"),
"center point": R(Playback([(["MouseGrid"], 0.1), (["click"], 0.0)]), rdescript="Mouse: Center Point"),
}
extras = [
Dictation("text"),
Dictation("mim"),
IntegerRef("n", 1, 1000),
]
defaults = {"n": 1, "mim":""}
#---------------------------------------------------------------------------
grammar = None
if not settings.WSR:
grammar = Grammar("Dragon Naturallyspeaking")
grammar.add_rule(CommandRule())
grammar.load()
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
R(Key("f9"), rdescript="MSVC: Breakpoint"),
"format code":
R(Key("cs-f"), rdescript="MSVC: Format Code"),
"(do imports | import all)":
R(Key("cs-o"), rdescript="MSVC: Do Imports"),
"comment line":
R(Key("c-slash"), rdescript="MSVC: Comment Line"),
"go to line":
R(Key("c-g"), rdescript="MSVC: Go To Line"),
}
extras = [
Dictation("text"),
IntegerRefST("n", 1, 1000),
]
defaults = {"n": 1}
#---------------------------------------------------------------------------
context = AppContext(executable="WDExpress")
grammar = Grammar("WDExpress", context=context)
if settings.SETTINGS["apps"]["msvc"]:
if settings.SETTINGS["miscellaneous"]["rdp_mode"]:
control.nexus().merger.add_global_rule(MSVCRule())
else:
rule = MSVCRule(name="M S V C")
gfilter.run_on(rule)
grammar.add_rule(rule)
grammar.load()
from dragonfly import CompoundRule, Grammar, Key, MappingRule, Integer
from raul import SelfChoice
import config
if config.PLATFORM == "proxy":
import aenea
grammar = Grammar("stopgap", context=aenea.global_context)
from proxy_contexts import *
from proxy_nicknames import *
else:
grammar = Grammar("stopgap")
class MouseClick(MappingRule):
mapping = {
"click [left]":Mouse("left"),
"click middle":Mouse("middle"),
"click right":Mouse("right"),
}
class QuadCommand(CompoundRule):
spec = "zip <xcoord> <ycoord>"
extras = [Integer("xcoord", min=0, max=11), Integer("ycoord", min=0, max=11)]
def _process_recognition(self, node, extras):
x = extras["xcoord"]
y = extras["ycoord"]
xres, yres = config.SCREEN_RESOLUTION
x = xres * int(x) / 10
y = yres * int(y) / 10
"down": "down"
}),
generate_ccr_choices.__func__(_NEXUS),
generate_sm_ccr_choices.__func__(_NEXUS),
IntegerRefST("monitor", 1, 10)
]
defaults = {
"n": 1,
"nnv": 1,
"text": "",
"volume_mode": "setsysvolume",
"enable": -1
}
grammar = Grammar('general')
main_rule = MainRule()
gfilter.run_on(main_rule)
grammar.add_rule(main_rule)
if settings.SETTINGS["feature_rules"]["again"]:
again_rule = Again(_NEXUS)
gfilter.run_on(again_rule)
grammar.add_rule(again_rule)
if settings.SETTINGS["feature_rules"]["alias"]:
alias_rule = Alias(name="alias")
gfilter.run_on(alias_rule)
grammar.add_rule(alias_rule)
grammar.load()
This module demonstrates the use of Dragonfly's CompoundRule class.
It shows how to use Dragonfly's Grammar, AppContext, and CompoundRule
classes. This module can be activated in the same way as other
Natlink macros by placing it in the My Documents\Natlink folder.
"""
from dragonfly import (Grammar, AppContext, CompoundRule, Choice, Dictation)
#---------------------------------------------------------------------------
# Create this module's grammar and the context under which it'll be active.
grammar_context = AppContext(executable="notepad")
grammar = Grammar("notepad_example", context=grammar_context)
#---------------------------------------------------------------------------
# Create a compound rule which demonstrates CompoundRule and Choice types.
class FoodGroupRule(CompoundRule):
spec = "(I ate <food> <time> | <time> I ate <food>) [and thought it was <opinion>]"
time = {
"(two days ago | day before yesterday)": 2,
"yesterday": 1,
"today": 0,
}
food = {
"(a Granny Smith | an) apple": "fruit",
'load wheel':
Function(gitPause) + Text('loadWheel.sh') + Key('enter'),
'build wheel':
Function(gitPause) + Text('buildWheel.sh') + Key('enter'),
# 'test': bar("text"),
}
extras = [
Integer('number', 1, 9999),
Integer('numberdot', 1, 9999),
Integer('n', 1, 9999),
Dictation("text"),
Dictation("nocaps", default="").lower(),
Dictation("camel_text", default="").camel(),
Dictation("snaketext", default="").lower().replace(" ", "_"),
Dictation("nospace", default="").lower().replace(" ", ""),
Dictation("lowtext", default="").lower(),
]
context = AppContext(executable='pycharm64')
grammar = Grammar('Pycharm', context=context)
grammar.add_rule(CodeMappings())
grammar.load()
def unload():
global grammar
if grammar: grammar.unload()
grammar = None
IntegerRef("numeric", 1, 10000),
Dictation("text"),
Choice("prop", cssProperties),
Choice("hex1", hexValue),
Choice("hex2", hexValue),
Choice("hex3", hexValue),
Choice("hex4", hexValue),
Choice("hex5", hexValue),
Choice("hex6", hexValue),
],
defaults={
"n": 0
}
)
grammar = Grammar("Css grammar", context=GlobalDynamicContext())
grammar.add_rule(rules)
grammar.load()
grammar.disable()
def dynamic_enable():
global grammar
if grammar.enabled:
return False
else:
grammar.enable()
return True
def dynamic_disable():
def build_grammar(context):
grammar = Grammar("default", context=(context))
#grammar.add_rule(keyword_rule)
custom = RuleRef(rule=keyword_rule, name='custom')
grammar.add_rule(build_rule())
return grammar
import natlink, os, time
from proxy_nicknames import Key, Text, AppRegexContext, Events
from dictionary_grammars import DIGITS, SYMBOLS, ALPHABET, CASE_ALPHABET
from _mac import FormatRule
import aenea
escape = Key("Escape")
vim_context = aenea.global_context & AppRegexContext(name="iTerm")
grammar = Grammar("vim", context=vim_context)
escape = Events("key->key=escape")
save = escape + Events("text->:w\n")
quit = escape + Events("key->code=41&modifier=shift;key->key=q;key->key=return")
_zip = Events("key->key=z×=2")
jump = Events("number->%(text)s&modifiers=text;key->key=g×=2") + _zip
finish = Events("key->key=4&modifier=shift")
match = Events("key->key=5&modifier=shift")
submit = Events("key->code=36")
def strip_number(words):
'''remove trailing number that dictation sometimes adds'''
return map((lambda word: word.split('\\')[0]), words)
def hmc_settings_complete(nexus):
nexus.comm.get_com("hmc").complete()
class HMCRule(MergeRule):
mapping = {
"kill homunculus":
R(Function(kill, nexus=_NEXUS), rdescript="Kill Helper Window"),
"complete":
R(Function(complete, nexus=_NEXUS), rdescript="Complete Input")
}
grammar = Grammar("hmc", context=AppContext(title=settings.HOMUNCULUS_VERSION))
r1 = HMCRule()
gfilter.run_on(r1)
grammar.add_rule(r1)
if settings.SETTINGS["feature_rules"]["hmc"]:
grammar.load()
class HMCHistoryRule(MergeRule):
mapping = {
# specific to macro recorder
"check <n>":
R(Function(hmc_checkbox, nexus=_NEXUS), rdescript="Check Checkbox"),
"check from <n> to <n2>":
R(Function(hmc_recording_check_range, nexus=_NEXUS),
rdescript="Check Range"),
#In order to make this work, you need Windows Speech Recognition and dragonfly.
#Dragonfly has a bunch of pre-requisites as well that you can find on their Github page.
from dragonfly import Grammar, MappingRule, Text, Dictation
import pythoncom
import time
test_com = MappingRule(\
name="test",\
mapping = {"write <text>": Text("%(text)s")},\
extras=[Dictation("text"),],)
grammar = Grammar("test grammar")
grammar.add_rule(test_com)
grammar.load()
#Keeps the program running to execute the commands
while True:
pythoncom.PumpWaitingMessages()
time.sleep(0.1)
from dragonfly import (Grammar, AppContext, MappingRule, Dictation, IntegerRef,
Key, Text)
git_context = AppContext(title="git Bash")
git_context2 = AppContext(title="MINGW32:")
# set the window title to bash in putty for this context to work
putty_context = AppContext(title="bash")
grammar = Grammar("bash", context=(putty_context | git_context | git_context2))
general_rule = MappingRule(
name="general",
mapping={
"cancel": Key("c-c"),
"kay": Key("enter"),
"left": Key("left"),
"right": Key("right"),
"say <text>": Text("%(text)s"),
},
extras=[
Dictation("text"),
],
)
file_extensions_rule = MappingRule(
name="file extensions",
mapping={
"dot text": Text(".txt"),
"dot pie": Text(".py"),
},
extras=[],
)
