def __init__(self, language, start_rule):
self.language = language
self.start_rule = start_rule
self.ast = self.loadGrammarAst()
self.semantic_ast = self.buildSemanticAst()
self.parser_io = PipeTextIO('java', ['pyinterface.ParserIntf', self.language + '.' + self.language, self.start_rule])
self.parser_io.connect()
self.suggestion_io = PipeTextIO('java', ['pyinterface.CompletionSuggestions', self.language, self.start_rule])
self.suggestion_io.connect()
self.index = weakref.WeakValueDictionary()
class Antlr4GenericParser:
def __init__(self, language, start_rule):
self.language = language
self.start_rule = start_rule
self.ast = self.loadGrammarAst()
self.semantic_ast = self.buildSemanticAst()
self.parser_io = PipeTextIO('java', ['pyinterface.ParserIntf', self.language + '.' + self.language, self.start_rule])
self.parser_io.connect()
self.suggestion_io = PipeTextIO('java', ['pyinterface.CompletionSuggestions', self.language, self.start_rule])
self.suggestion_io.connect()
self.index = weakref.WeakValueDictionary()
# grammars_path = os.path.abspath(os.path.join(os.getcwd(), '..', 'grammars'))
# grammars_path = os.path.abspath(os.path.join(os.getcwd(), '..'))
def loadGrammarAst(self):
import pyde
with open(os.path.join(pyde.__path__[0], '..', 'grammars', self.language, self.language + 'AST.js')) as ast_file:
ast_js = json.load(ast_file)
rules = {}
self.state_ast_rules = {}
for name, rule in ast_js.items():
b = GrammarASTBuilder(self.state_ast_rules)
ruleCtx = b.visit(rule)
rules[name] = ruleCtx
return rules
def buildSemanticAst(self):
b = SemanticASTBuilder(self.ast)
return b.build()
def parse(self, text, text_range):
active_text = text[text_range[0]: text_range[1]]
self.dirty = False
# p = subprocess.Popen(['java', 'pyinterface.Main',
# self.language + '.' + self.language,
# self.start_rule, '-json', active_text], stdout=subprocess.PIPE).communicate()[0]
# parse_out = json.loads(p.decode())
# if self.language == 'vhdl':
# parser = Antlr4GenericParser('vhdl', 'design_file')
# import time
# start_time = time.time()
# ret = parser.parser_io.communicate(active_text)
# # tree = parser.parse(text, (0, len(text)))
# print("--- %s seconds ---" % (time.time() - start_time))
# pass
ret = self.parser_io.communicate(active_text)
parse_out = json.loads(ret)
self.tokens = TokenSequence(parse_out['tokens'], text_range[0])
dict_tree = parse_out['tree']
common_fields = {'ast': self.ast, 'token': self.tokens}
parse_builder = ParseTreeBuilder(self.tokens, common_fields)
self.parse_tree = parse_builder.visit(dict_tree)
common_fields = {'_ast': self.semantic_ast}
builder = SemanticTreeBuilder(self.semantic_ast, common_fields, self.index)
self.semantic_tree = builder.visit(self.parse_tree)
if self.language == 'vhdl':
pass
parse_out = json.loads(ret)
return self.semantic_tree
def place_suggestion(self, suggestion, node, feature, carret_token):
# if suggestion['type'] == 'org.antlr.v4.runtime.NoViableAltException':
suggestions = []
if suggestion['type'] == 'org.antlr.v4.runtime.NoViableAltException':
if suggestion['token'] > carret_token.index:
parent = node
node = None
else:
parent = None
v = NextRulesVisitor(self.ast, self.semantic_ast, node, parent, carret_token.slice.stop)
v.visit(self.state_ast_rules[suggestion['state_stack'][0]])
return v.next_rules
elif node is not None:
node, feature = semantic_for_state_stack(node, suggestion['state_stack'])
while (node):
parse_node_child = parser_node_child_by_feature(node._parse_node, feature)
if parse_node_child:
suggestions.append(Suggestion(type=node._type, feature=feature, node=node, parse_node=parse_node_child))
node, feature = semantic_feature_in_parent(node)
return suggestions
def completion_suggestions(self, text, text_range):
suggestions = []
carret_index = text_range[1]
carret_token = self.tokens.token_at_pos(carret_index)
# if (carret_token is None) or (carret_index == carret_token.slice.start):
# carret_token = self.tokens[carret_token.index-1]
if (carret_token is None):
carret_token = self.tokens[0]
if not hasattr(carret_token, 'island_grammar_root'):
active_text = text[text_range[0]: carret_index]#carret_token.slice.start]
# p = subprocess.Popen(['java', 'pyinterface.CompletionSuggestions',
# self.language, self.start_rule, active_text], stdout=subprocess.PIPE).communicate()[0]
ret = self.suggestion_io.communicate(active_text)
# ret = '[{"state_stack":[153],"type":"org.antlr.v4.runtime.NoViableAltException","token":0}]'
suggestions_js = json.loads(ret)
# carret_token_start_index = start_of_carret_token(parser.tokens, carret_index)
carret_ctx, feature = semantic_for_rule_node(carret_token)
node = carret_ctx
while (node):
if feature:
parse_node_child = parser_node_child_by_feature(node._parse_node, feature)
else:
parse_node_child = node._parse_node
suggestions.append(Suggestion(type=node._type, feature=feature, node=node, parse_node = parse_node_child))
node, feature = semantic_feature_in_parent(node)
# if (carret_ctx is not None):
# suggestions.append(Suggestion(type=carret_ctx.type, feature=feature, node=carret_ctx))
# pre_carret_ctx = self.semantic_node_for_token(pre_carret_token)
for s in suggestions_js:
suggestions.extend(self.place_suggestion(s, carret_ctx, feature, carret_token))
# suggestions = []
# if not suggestions_js:
# v = NextRulesVisitor(self.ast)
# v.visit(self.ast[self.start_rule])
# suggestions.extend(v.next_rules)
# else:
# for s in suggestions_js:
# suggestions.extend(self.place_suggestion(s, carret_ctx))
#
# for s in suggestions:
# print(s)
return suggestions
def iter_index_by_type(self, ctx_types):
for k,v in self.index.items():
if v._type in ctx_types:
yield k,v
pass
