import sys import os import unittest import io import warnings import json as simplejson from support import html5lib_test_files from html5lib.tokenizer import HTMLTokenizer from html5lib import constants class TokenizerTestParser(object): def __init__(self, contentModelFlag, lastStartTag=None): self.tokenizer = HTMLTokenizer self._contentModelFlag = constants.contentModelFlags[contentModelFlag] self._lastStartTag = lastStartTag def parse(self, stream, encoding=None, innerHTML=False): tokenizer = self.tokenizer(stream, encoding) self.outputTokens = [] tokenizer.contentModelFlag = self._contentModelFlag if self._lastStartTag is not None: tokenizer.currentToken = {"type": "startTag", "name":self._lastStartTag} types = dict((v,k) for k,v in constants.tokenTypes.items()) for token in tokenizer: getattr(self, 'process%s' % types[token["type"]])(token) return self.outputTokens def processDoctype(self, token): self.outputTokens.append(["DOCTYPE", token["name"], token["publicId"], token["systemId"], token["correct"]]) def processStartTag(self, token): self.outputTokens.append(["StartTag", token["name"], dict(token["data"][::-1]), token["selfClosing"]]) def processEmptyTag(self, token): if token["name"] not in constants.voidElements: self.outputTokens.append("ParseError") self.outputTokens.append(["StartTag", token["name"], dict(token["data"][::-1])]) def processEndTag(self, token): self.outputTokens.append(["EndTag", token["name"], token["selfClosing"]]) def processComment(self, token): self.outputTokens.append(["Comment", token["data"]]) def processSpaceCharacters(self, token): self.outputTokens.append(["Character", token["data"]]) self.processSpaceCharacters = self.processCharacters def processCharacters(self, token): self.outputTokens.append(["Character", token["data"]]) def processEOF(self, token): pass def processParseError(self, token): self.outputTokens.append(["ParseError", token["data"]]) def concatenateCharacterTokens(tokens): outputTokens = [] for token in tokens: if not "ParseError" in token and token[0] == "Character": if (outputTokens and not "ParseError" in outputTokens[-1] and outputTokens[-1][0] == "Character"): outputTokens[-1][1] += token[1] else: outputTokens.append(token) else: outputTokens.append(token) return outputTokens def normalizeTokens(tokens): # TODO: convert tests to reflect arrays for i, token in enumerate(tokens): if token[0] == 'ParseError': tokens[i] = token[0] return simplejson.loads(simplejson.dumps(tokens)) def tokensMatch(expectedTokens, receivedTokens, ignoreErrorOrder): """Test whether the test has passed or failed If the ignoreErrorOrder flag is set to true we don't test the relative positions of parse errors and non parse errors """ checkSelfClosing= False for token in expectedTokens: if (token[0] == "StartTag" and len(token) == 4 or token[0] == "EndTag" and len(token) == 3): checkSelfClosing = True break if not checkSelfClosing: for token in receivedTokens: if token[0] == "StartTag" or token[0] == "EndTag": token.pop() if not ignoreErrorOrder: return expectedTokens == receivedTokens else: #Sort the tokens into two groups; non-parse errors and parse errors tokens = {"expected":[[],[]], "received":[[],[]]} for tokenType, tokenList in zip(list(tokens.keys()), (expectedTokens, receivedTokens)): for token in tokenList: if token != "ParseError": tokens[tokenType][0].append(token) else: tokens[tokenType][1].append(token) return tokens["expected"] == tokens["received"] class TestCase(unittest.TestCase): def runTokenizerTest(self, test): #XXX - move this out into the setup function #concatenate all consecutive character tokens into a single token expected = concatenateCharacterTokens(test['output']) if 'lastStartTag' not in test: test['lastStartTag'] = None outBuffer = io.StringIO() stdout = sys.stdout sys.stdout = outBuffer parser = TokenizerTestParser(test['contentModelFlag'], test['lastStartTag']) tokens = parser.parse(test['input']) tokens = concatenateCharacterTokens(tokens) received = normalizeTokens(tokens) errorMsg = "\n".join(["\n\nContent Model Flag:", test['contentModelFlag'] , "\nInput:", str(test['input']), "\nExpected:", str(expected), "\nreceived:", str(tokens)]) errorMsg = errorMsg.encode("utf-8") ignoreErrorOrder = test.get('ignoreErrorOrder', False) self.assertEquals(tokensMatch(expected, received, ignoreErrorOrder), True, errorMsg) def buildTestSuite(): for filename in html5lib_test_files('tokenizer', '*.test'): tests = simplejson.load(open(filename)) testName = os.path.basename(filename).replace(".test","") if 'tests' in tests: for index,test in enumerate(tests['tests']): #Skip tests with a self closing flag skip = False if 'contentModelFlags' not in test: test["contentModelFlags"] = ["PCDATA"] for contentModelFlag in test["contentModelFlags"]: test["contentModelFlag"] = contentModelFlag def testFunc(self, test=test): self.runTokenizerTest(test) testFunc.__doc__ = "\t".join([testName, test['description']]) setattr(TestCase, 'test_%s_%d' % (testName, index), testFunc) return unittest.TestLoader().loadTestsFromTestCase(TestCase) def main(): buildTestSuite() unittest.main() if __name__ == "__main__": main()