def test_add_pattern_to_graph_basic_zero_or_more_with_patterns(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
element = ET.fromstring('<pattern># HELLO</pattern>')
template_graph_root = TemplateWordNode("RESPONSE1")
graph.add_pattern_to_graph(element, topic_element, that_element, template_graph_root)
element = ET.fromstring('<pattern>WELL HI THERE</pattern>')
template_graph_root = TemplateWordNode("RESPONSE2")
graph.add_pattern_to_graph(element, topic_element, that_element, template_graph_root)
matcher = PatternMatcher(graph)
self.assertIsNone(matcher.match(self.bot, self.clientid, Sentence(""), [], Sentence("*"), [], Sentence("*"), []))
template = matcher.match(self.bot, self.clientid, Sentence("HELLO"), [], Sentence("*"), [], Sentence("*"), [])
self.assertIsNotNone(template)
self.assertIsInstance(template, PatternTemplateNode)
self.assertEqual(template.template.resolve(None, None), "RESPONSE1")
template = matcher.match(self.bot, self.clientid, Sentence("WELL HI THERE"), [], Sentence("*"), [], Sentence("*"), [])
self.assertIsNotNone(template)
self.assertIsInstance(template, PatternTemplateNode)
self.assertEqual(template.template.resolve(None, None), "RESPONSE2")
def test_add_pattern_to_graph_basic_one_or_more(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
template_graph_root = None
element = ET.fromstring('<pattern>*</pattern>')
graph.add_pattern_to_graph(element, topic_element, that_element,
template_graph_root)
self.assertIsNotNone(graph.root)
self.assertIsNotNone(graph.root._1ormore_star)
self.assertIsInstance(graph.root._1ormore_star,
PatternOneOrMoreWildCardNode)
self.assertEqual(graph.root._1ormore_star.wildcard, "*")
self.assertEqual(len(graph.root._priority_words), 0)
self.assertIsNone(graph.root._0ormore_arrow)
self.assertIsNone(graph.root._0ormore_hash)
self.assertIsNone(graph.root._1ormore_underline)
matcher = PatternMatcher(graph)
self.assertIsNone(
matcher.match(self.bot, self.clientid, Sentence(""), [],
Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(
matcher.match(self.bot, self.clientid, Sentence("test1"), [],
Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(
matcher.match(self.bot, self.clientid, Sentence("test1 test2"), [],
Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(
matcher.match(self.bot, self.clientid,
Sentence("test1 test2 test3"), [], Sentence("*"), [],
Sentence("*"), []))
def test_add_pattern_to_graph_basic(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
template_graph_root = None
element = ET.fromstring("<pattern>test1</pattern>")
graph.add_pattern_to_graph(element, topic_element, that_element, template_graph_root)
self.assertIsNotNone(graph.root)
self.assertIsNotNone(graph.root.children)
self.assertEqual(len(graph.root.children), 1)
self.assertIsInstance(graph.root.children[0], PatternWordNode)
self.assertEqual(graph.root.children[0].word, "test1")
element = ET.fromstring("<pattern>test2</pattern>")
graph.add_pattern_to_graph(element, topic_element, that_element, template_graph_root)
self.assertIsNotNone(graph.root)
self.assertIsNotNone(graph.root.children)
self.assertEqual(len(graph.root.children), 2)
self.assertIsInstance(graph.root.children[0], PatternWordNode)
self.assertEqual(graph.root.children[0].word, "test1")
self.assertIsInstance(graph.root.children[0], PatternWordNode)
self.assertEqual(graph.root.children[1].word, "test2")
matcher = PatternMatcher(graph)
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("test1"), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("test2"), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNone(matcher.match(self.bot, self.clientid, Sentence("test1 test2"), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNone(matcher.match(self.bot, self.clientid, Sentence("test2 test1"), [], Sentence("*"), [], Sentence("*"), []))
def test_add_pattern_to_graph_basic_set_name_attrib(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
template_graph_root = None
self.bot.brain.sets._sets["SET1"] = ["val1", "val2", "val3", "val5"]
element = ET.fromstring('<pattern><set name="set1" /></pattern>')
graph.add_pattern_to_graph(element, topic_element, that_element,
template_graph_root)
self.assertIsNotNone(graph.root)
self.assertIsNotNone(graph.root.children)
self.assertEqual(len(graph.root.children), 1)
self.assertIsInstance(graph.root.children[0], PatternSetNode)
self.assertEqual(graph.root.children[0].word, "SET1")
matcher = PatternMatcher(graph)
self.assertIsNotNone(
matcher.match(self.bot, self.clientid, Sentence("val1"), [],
Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(
matcher.match(self.bot, self.clientid, Sentence("val2"), [],
Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(
matcher.match(self.bot, self.clientid, Sentence("val3"), [],
Sentence("*"), [], Sentence("*"), []))
self.assertIsNone(
matcher.match(self.bot, self.clientid, Sentence("val4"), [],
Sentence("*"), [], Sentence("*"), []))
def test_mixed_priorty_and_star(self):
graph = PatternGraph()
pattern_element1 = ET.fromstring("<pattern>A $B C</pattern>")
pattern_element2 = ET.fromstring("<pattern>A * C</pattern>")
pattern_element3 = ET.fromstring("<pattern>A D C</pattern>")
topic_element = ET.fromstring("<topic>*</topic>")
that_element = ET.fromstring("<that>*</that>")
template_node1 = TemplateNode()
template_node2 = TemplateNode()
template_node3 = TemplateNode()
graph.add_pattern_to_graph(pattern_element1, topic_element, that_element, template_node1)
graph.add_pattern_to_graph(pattern_element2, topic_element, that_element, template_node2)
graph.add_pattern_to_graph(pattern_element3, topic_element, that_element, template_node3)
matcher = PatternMatcher(graph)
pattern_stars = []
topic_stars = []
that_stars = []
result = matcher.match(PatternMatcherTests.bot, PatternMatcherTests.clientid,
Sentence("A B C"), pattern_stars,
Sentence("*"), topic_stars,
Sentence("*"), that_stars)
self.assertIsNotNone(result)
self.assertIsInstance(result, PatternTemplateNode)
self.assertEqual(result.template, template_node1)
self.assertEqual(len(pattern_stars), 0)
self.assertEqual(len(topic_stars), 0)
self.assertEqual(len(that_stars), 0)
pattern_stars = []
topic_stars = []
that_stars = []
result = matcher.match(PatternMatcherTests.bot, PatternMatcherTests.clientid,
Sentence("A F C"), pattern_stars,
Sentence("*"), topic_stars,
Sentence("*"), that_stars)
self.assertIsNotNone(result)
self.assertIsInstance(result, PatternTemplateNode)
self.assertEqual(result.template, template_node2)
self.assertEqual(len(pattern_stars), 1)
self.assertEqual("F", pattern_stars[0])
self.assertEqual(len(topic_stars), 0)
self.assertEqual(len(that_stars), 0)
pattern_stars = []
topic_stars = []
that_stars = []
result = matcher.match(PatternMatcherTests.bot, PatternMatcherTests.clientid,
Sentence("A D C"), pattern_stars,
Sentence("*"), topic_stars,
Sentence("*"), that_stars)
self.assertIsNotNone(result)
self.assertIsInstance(result, PatternTemplateNode)
self.assertEqual(result.template, template_node3)
self.assertEqual(len(pattern_stars), 0)
self.assertEqual(len(topic_stars), 0)
self.assertEqual(len(that_stars), 0)
def test_add_pattern_to_graph_basic_bot_name_attrib(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
template_graph_root = None
self.bot.brain.properties._properties['bot1'] = 'val1'
element = ET.fromstring('<pattern><bot name="bot1" /></pattern>')
graph.add_pattern_to_graph(element, topic_element, that_element,
template_graph_root)
self.assertIsNotNone(graph.root)
self.assertIsNotNone(graph.root.children)
self.assertEqual(len(graph.root.children), 1)
self.assertIsInstance(graph.root.children[0], PatternBotNode)
self.assertEqual(graph.root.children[0].word, "bot1")
matcher = PatternMatcher(graph)
self.assertIsNotNone(
matcher.match(self.bot, self.clientid, Sentence("val1"), [],
Sentence("*"), [], Sentence("*"), []))
self.assertIsNone(
matcher.match(self.bot, self.clientid, Sentence("val2"), [],
Sentence("*"), [], Sentence("*"), []))
def test_add_pattern_to_graph_one_or_more_last(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
template_graph_root = None
element = ET.fromstring('<pattern>XXX *</pattern>')
graph.add_pattern_to_graph(element, topic_element, that_element, template_graph_root)
matcher = PatternMatcher(graph)
self.assertIsNone(matcher.match(self.bot, self.clientid, Sentence(""), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("XXX HELLO THERE YYY"), [], Sentence("*"), [], Sentence("*"), []))
def test_add_pattern_to_graph_zero_or_more_multiple(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
template_graph_root = None
element = ET.fromstring('<pattern>XXX # YYY # ZZZ</pattern>')
graph.add_pattern_to_graph(element, topic_element, that_element, template_graph_root)
matcher = PatternMatcher(graph)
self.assertIsNone(matcher.match(self.bot, self.clientid, Sentence(""), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("XXX Hello YYY There ZZZ"), [], Sentence("*"), [], Sentence("*"), []))
def test_add_pattern_to_graph_basic_zero_or_more(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
template_graph_root = None
element = ET.fromstring('<pattern>#</pattern>')
graph.add_pattern_to_graph(element, topic_element, that_element, template_graph_root)
matcher = PatternMatcher(graph)
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence(""), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("test1"), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("test1 test2"), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("test1 test2 test3"), [], Sentence("*"), [], Sentence("*"), []))
def test_multiple_hashes_with_star_and_that(self):
graph = PatternGraph()
pattern_element = ET.fromstring("<pattern>A # # D</pattern>")
topic_element = ET.fromstring("<topic>*</topic>")
that_element = ET.fromstring("<that>THAT</that>")
template_node = TemplateNode()
graph.add_pattern_to_graph(pattern_element, topic_element, that_element, template_node)
matcher = PatternMatcher(graph)
pattern_stars = []
topic_stars = []
that_stars = []
result = matcher.match(PatternMatcherTests.bot, PatternMatcherTests.clientid,
Sentence("A B C C2 D"), pattern_stars,
Sentence("THIS"), topic_stars,
Sentence("THAT"), that_stars)
self.assertIsNotNone(result)
self.assertIsInstance(result, PatternTemplateNode)
self.assertEqual(len(pattern_stars), 2)
self.assertEqual('B', pattern_stars[0])
self.assertEqual('C C2', pattern_stars[1])
self.assertEqual(len(topic_stars), 1)
self.assertEqual("THIS", topic_stars[0])
self.assertEqual(len(that_stars), 0)
def test_simple_arrow_and_hash_at_end(self):
graph = PatternGraph()
pattern_element1 = ET.fromstring("<pattern>A ^</pattern>")
pattern_element2 = ET.fromstring("<pattern>A #</pattern>")
topic_element = ET.fromstring("<topic>*</topic>")
that_element = ET.fromstring("<that>*</that>")
template_node1 = TemplateNode()
template_node2 = TemplateNode()
graph.add_pattern_to_graph(pattern_element1, topic_element, that_element, template_node1)
graph.add_pattern_to_graph(pattern_element2, topic_element, that_element, template_node2)
matcher = PatternMatcher(graph)
pattern_stars = []
topic_stars = []
that_stars = []
result = matcher.match(PatternMatcherTests.bot, PatternMatcherTests.clientid,
Sentence("A C"), pattern_stars,
Sentence("*"), topic_stars,
Sentence("*"), that_stars)
self.assertIsNotNone(result)
self.assertIsInstance(result, PatternTemplateNode)
self.assertEqual(result.template, template_node2)
self.assertEqual(1, len(pattern_stars))
self.assertEqual('C', pattern_stars[0])
self.assertEqual(len(topic_stars), 0)
self.assertEqual(len(that_stars), 0)
def test_multi_star_multi_branch_star(self):
graph = PatternGraph()
pattern_element1 = ET.fromstring("<pattern>A * B * C</pattern>")
pattern_element2 = ET.fromstring("<pattern>A * C * D</pattern>")
topic_element = ET.fromstring("<topic>*</topic>")
that_element = ET.fromstring("<that>*</that>")
template_node = TemplateNode()
graph.add_pattern_to_graph(pattern_element1, topic_element, that_element, template_node)
graph.add_pattern_to_graph(pattern_element2, topic_element, that_element, template_node)
matcher = PatternMatcher(graph)
pattern_stars = []
topic_stars = []
that_stars = []
result = matcher.match(PatternMatcherTests.bot, PatternMatcherTests.clientid,
Sentence("A X B Y C"), pattern_stars,
Sentence("*"), topic_stars,
Sentence("*"), that_stars)
self.assertIsNotNone(result)
self.assertIsInstance(result, PatternTemplateNode)
self.assertEqual(2, len(pattern_stars))
self.assertEqual('X', pattern_stars[0])
self.assertEqual('Y', pattern_stars[1])
self.assertEqual(len(topic_stars), 0)
self.assertEqual(len(that_stars), 0)
def test_simple_topic_and_star(self):
graph = PatternGraph()
pattern_element = ET.fromstring("<pattern>A * D</pattern>")
topic_element = ET.fromstring("<topic>TOPIC1</topic>")
that_element = ET.fromstring("<that>*</that>")
template_node = TemplateNode()
graph.add_pattern_to_graph(pattern_element, topic_element, that_element, template_node)
matcher = PatternMatcher(graph)
pattern_stars = []
topic_stars = []
that_stars = []
result = matcher.match(PatternMatcherTests.bot, PatternMatcherTests.clientid,
Sentence("A B C D"), pattern_stars,
Sentence("TOPIC1"), topic_stars,
Sentence("THAT1"), that_stars)
self.assertIsNotNone(result)
self.assertEqual(len(pattern_stars), 1)
self.assertEqual('B C', pattern_stars[0])
self.assertEqual(len(topic_stars), 0)
self.assertEqual(len(that_stars), 1)
self.assertEqual('THAT1', that_stars[0])
def test_simple_star_at_end(self):
graph = PatternGraph()
pattern_element = ET.fromstring("<pattern>A B *</pattern>")
topic_element = ET.fromstring("<topic>*</topic>")
that_element = ET.fromstring("<that>*</that>")
template_node = TemplateNode()
graph.add_pattern_to_graph(pattern_element, topic_element, that_element, template_node)
matcher = PatternMatcher(graph)
pattern_stars = []
topic_stars = []
that_stars = []
result = matcher.match(PatternMatcherTests.bot, PatternMatcherTests.clientid,
Sentence("A B C"), pattern_stars,
Sentence("*"), topic_stars,
Sentence("*"), that_stars)
self.assertIsNotNone(result)
self.assertIsInstance(result, PatternTemplateNode)
self.assertEqual(len(pattern_stars), 1)
self.assertEqual('C', pattern_stars[0])
self.assertEqual(len(topic_stars), 0)
self.assertEqual(len(that_stars), 0)
def test_add_pattern_to_graph_basic_set_text(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
template_graph_root = None
self.bot.brain.sets._sets["SET1"] = ["VAL1", "VAL2", "VAL3", "VAL5"]
element = ET.fromstring('<pattern><set>set1</set> IS A VALUE</pattern>')
graph.add_pattern_to_graph(element, topic_element, that_element, template_graph_root)
self.assertIsNotNone(graph.root)
self.assertIsNotNone(graph.root.children)
self.assertEqual(len(graph.root.children), 1)
self.assertIsInstance(graph.root.children[0], PatternSetNode)
self.assertEqual(graph.root.children[0].word, "SET1")
matcher = PatternMatcher(graph)
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("VAL1 IS A VALUE"), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("VAL2 IS A VALUE"), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("VAL3 IS A VALUE"), [], Sentence("*"), [], Sentence("*"), []))
self.assertIsNone(matcher.match(self.bot, self.clientid, Sentence("VAL4 IS A VALUE"), [], Sentence("*"), [], Sentence("*"), []))
def test_add_pattern_to_graph_word_set_bot(self):
graph = PatternGraph()
topic_element = ET.fromstring('<topic>*</topic>')
that_element = ET.fromstring('<that>*</that>')
template_graph_root = None
self.bot.brain.sets._sets["SET1"] = ["val1", "val2", "val3", "val5"]
self.bot.brain.properties._properties['bot1'] = 'val1'
element = ET.fromstring('<pattern>test1 test2 <set name="SET1" /> test4 <bot name="bot1" /> test6</pattern>')
graph.add_pattern_to_graph(element, topic_element, that_element, template_graph_root)
self.assertIsNotNone(graph.root)
self.assertIsNotNone(graph.root.children)
self.assertEqual(len(graph.root.children), 1)
self.assertIsInstance(graph.root.children[0], PatternWordNode)
self.assertEqual(graph.root.children[0].word, "test1")
self.assertIsNotNone(graph.root.children[0].children)
self.assertEqual(len(graph.root.children[0].children), 1)
self.assertIsInstance(graph.root.children[0].children[0], PatternWordNode)
self.assertEqual(graph.root.children[0].children[0].word, "test2")
self.assertIsNotNone(graph.root.children[0].children[0].children)
self.assertEqual(len(graph.root.children[0].children[0].children), 1)
self.assertIsInstance(graph.root.children[0].children[0].children[0], PatternSetNode)
self.assertEqual(graph.root.children[0].children[0].children[0].word, "SET1")
self.assertIsNotNone(graph.root.children[0].children[0].children[0].children)
self.assertEqual(len(graph.root.children[0].children[0].children[0].children), 1)
self.assertIsInstance(graph.root.children[0].children[0].children[0].children[0], PatternWordNode)
self.assertEqual(graph.root.children[0].children[0].children[0].children[0].word, "test4")
self.assertIsNotNone(graph.root.children[0].children[0].children[0].children[0].children)
self.assertEqual(len(graph.root.children[0].children[0].children[0].children[0].children), 1)
self.assertIsInstance(graph.root.children[0].children[0].children[0].children[0].children[0], PatternBotNode)
self.assertEqual(graph.root.children[0].children[0].children[0].children[0].children[0].word, "bot1")
self.assertIsNotNone(graph.root.children[0].children[0].children[0].children[0].children[0].children)
self.assertEqual(len(graph.root.children[0].children[0].children[0].children[0].children[0].children), 1)
self.assertIsInstance(graph.root.children[0].children[0].children[0].children[0].children[0].children[0],
PatternWordNode)
self.assertEqual(graph.root.children[0].children[0].children[0].children[0].children[0].children[0].word,
"test6")
matcher = PatternMatcher(graph)
self.assertIsNotNone(matcher.match(self.bot, self.clientid, Sentence("test1 test2 val1 test4 val1 test6"), [],
Sentence("*"), [], Sentence("*"), []))
class AIMLParser(object):
def __init__(self, supress_warnings=False, stop_on_invalid=False):
self._supress_warnings = supress_warnings
self.stop_on_invalid = stop_on_invalid
self.pattern_parser = PatternGraph()
self.pattern_matcher = PatternMatcher(self.pattern_parser)
self.template_parser = TemplateGraph(self)
self.template_evaluator = TemplateEvaluator()
self._filename = "Unknown"
self._version = "Unknown"
self._aiml_loader = AIMLLoader(self)
self._num_categories = 0
@property
def supress_warnings(self):
return self._supress_warnings
@property
def num_categories(self):
return self._num_categories
def load_aiml(self, brain_configuration: BrainConfiguration):
self._supress_warnings = brain_configuration.supress_warnings
if brain_configuration.aiml_files is not None:
aimls_loaded = self._aiml_loader.load_dir_contents(brain_configuration.aiml_files.files,
brain_configuration.aiml_files.directories,
brain_configuration.aiml_files.extension)
logging.info("Loaded a total of %d aiml files", len(aimls_loaded))
else:
logging.info("No AIML files defined in configuration to load")
def parse_from_file(self, filename):
"""
Parse an AIML file and return all the cateogeries found in the file
:param filename: Name of file to parse
:return list of categories parsed from file:
"""
self._filename = filename
logging.info("Loading aiml file file: " + self._filename)
tree = ET.parse(filename, parser=LineNumberingParser())
aiml = tree.getroot()
if aiml is None or aiml.tag != 'aiml':
raise ParserException("Error, root tag is not <aiml>", filename=filename)
else:
try:
self.parse_aiml(aiml, filename)
except ParserException as parser_excep:
parser_excep.filename = filename
raise parser_excep
except ET.ParseError as xmlpe:
xmlpe.filename = filename
xmlpe.xml_exception = xmlpe
def parse_from_text(self, text):
"""
Parse an AIML text version of an aiml file and return all the cateogeries found in the file
:param text: Fully validated AIML snippet
:return list of categories parsed from file:
"""
aiml = ET.fromstring(text)
if aiml is None or aiml.tag != 'aiml':
ParserException("Error, root tag is not <aiml>", filename="text")
else:
self.parse_aiml(aiml, "text")
#########################################################################################
#
# <?xml version = "1.0" encoding = "UTF-8"?>
# <aiml>
# <category>
# :
# </category>
# <topic>
# <category>
# :
# </category>
# </topic>
# </aiml>
#
def parse_aiml(self, aiml_xml, filename):
self.parse_version(aiml_xml)
categories_found = False
for expression in aiml_xml:
if expression.tag == 'topic':
try:
self.parse_topic(expression)
categories_found = True
except ParserException as parser_excep:
parser_excep.filename = filename
logging.error(parser_excep.format_message())
if self.stop_on_invalid is True:
raise parser_excep
elif expression.tag == 'category':
try:
self.parse_category(expression)
categories_found = True
except ParserException as parser_excep:
parser_excep.filename = filename
logging.error(parser_excep.format_message())
if self.stop_on_invalid is True:
raise parser_excep
else:
raise ParserException("Error, unknown top level tag, %s" % expression.tag, xml_element=expression)
if categories_found is False:
logging.warning("no categories in aiml file")
if self.stop_on_invalid is True:
raise ParserException("Error, no categories in aiml file", filename=filename)
#########################################################################################
#
# AIML_VERSION ::== 0.9 | 1.0 | 1.1 | 2.0
#
def parse_version(self, aiml):
if 'version' in aiml.attrib:
self._version = aiml.attrib['version']
if self._version not in ['0.9', '1.0', '1.1', '2.0']:
if self._supress_warnings is False:
logging.warning("Version number not a supported version: %s", self._version)
else:
if self._supress_warnings is False:
logging.warning("No version info, defaulting to 2.0")
self._version = "2.0"
#########################################################################################
#
# TOPIC_EXPRESSION:: == <topic name = "PATTERN_EXPRESSION" > (CATEGORY_EXPRESSION) + < / topic >
#
# PATTERN_EXPRESSION:: == WORD | PRIORITY_WORD | WILDCARD | SET_STATEMENT | PATTERN_SIDE_BOT_PROPERTY_EXPRESSION
# PATTERN_EXPRESSION:: == PATTERN_EXPRESSION PATTERN_EXPRESSION
#
# This means both topic and that can also be a set of words, stars, hash, sets and bots
#
# CATEGORY_EXPRESSION:: == <category>
# <pattern> PATTERN_EXPRESSION </pattern>
# (<that> PATTERN_EXPRESSION </that>)
# (<topic> PATTERN_EXPRESSION </topic>)
# < template > TEMPLATE_EXPRESSION < / template >
# </category>
def parse_topic(self, topic_element):
if 'name' in topic_element.attrib:
name = topic_element.attrib['name']
if name is None or len(name) == 0:
raise ParserException("Topic name empty or null", xml_element=topic_element)
xml = "<topic>%s</topic>" % name
logging.info("Topic attrib converted to %s", xml)
topic_pattern = ET.fromstring(xml)
else:
raise ParserException("Error, missing name attribute for topic", xml_element=topic_element)
category_found = False
for child in topic_element:
logging.debug(child.tag)
if child.tag == 'category':
self.parse_category(child, topic_pattern)
category_found = True
else:
raise ParserException("Error unknown child node of topic, %s" % child.tag, xml_element=topic_element)
if category_found is False:
raise ParserException("Error, no categories in topic", xml_element=topic_element)
def parse_category(self, category_xml, topic_element=None, add_to_graph=True):
topics = category_xml.findall('topic')
if topic_element is not None:
if len(topics) > 0:
raise ParserException("Error, topic exists in category AND as parent node", xml_element=category_xml)
else:
if len(topics) > 1:
raise ParserException("Error, multiple <topic> nodes found in category", xml_element=category_xml)
elif len(topics) == 1:
topic_element = topics[0]
else:
topic_element = ET.fromstring("<topic>*</topic>")
thats = category_xml.findall('that')
if len(thats) > 1:
raise ParserException("Error, multiple <that> nodes found in category", xml_element=category_xml)
elif len(thats) == 1:
that_element = thats[0]
else:
that_element = ET.fromstring("<that>*</that>")
templates = category_xml.findall('template')
if len(templates) == 0:
raise ParserException("Error, no template node found in category", xml_element=category_xml)
elif len(templates) > 1:
raise ParserException("Error, multiple <template> nodes found in category", xml_element=category_xml)
else:
template_graph_root = self.template_parser.parse_template_expression(templates[0])
patterns = category_xml.findall('pattern')
if len(patterns) == 0:
raise ParserException("Error, no pattern node found in category", xml_element=category_xml)
elif len(patterns) > 1:
raise ParserException("Error, multiple <pattern> nodes found in category", xml_element=category_xml)
else:
if add_to_graph is True:
self.pattern_parser.add_pattern_to_graph(patterns[0], topic_element, that_element, template_graph_root)
self._num_categories += 1
return (patterns[0], topic_element, that_element, template_graph_root)
def match_sentence(self, bot, clientid, sentence, parent_question, topic_pattern, that_pattern):
logging.debug("Matching sentence [%s], topic=[%s], that=[%s] ", sentence.text(), topic_pattern, that_pattern)
if parent_question is not None:
pattern_stars = parent_question.current_sentence()._stars
topic_stars = parent_question.current_sentence()._topicstars
that_stars = parent_question.current_sentence()._thatstars
else:
pattern_stars = sentence._stars
topic_stars = sentence._topicstars
that_stars = sentence._thatstars
matched = self.pattern_matcher.match(bot, clientid,
sentence, pattern_stars,
Sentence(topic_pattern),topic_stars,
Sentence(that_pattern), that_stars)
if matched is not None:
return self.template_evaluator.evaluate(bot, clientid, matched.template)
# pattern_stars = []
# topic_stars = []
# that_stars = []
# matched = self.pattern_matcher.match(bot, clientid, sentence, pattern_stars, Sentence(topic_pattern),
# topic_stars, Sentence(that_pattern), that_stars)
# if matched is not None:
# if parent_question is not None:
# parent_question.current_sentence().stars = pattern_stars
# parent_question.current_sentence().topicstars = topic_stars
# parent_question.current_sentence().thatstars = that_stars
# else:
# sentence.stars = pattern_stars
# sentence.topicstars = topic_stars
# sentence.thatstars = that_stars
#
# return self.template_evaluator.evaluate(bot, clientid, matched.template)
return None