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()