blob: 1b76806a6cf7b529b627dada7e668630e333009e [file] [log] [blame]
import sys
import os
import unittest
import cStringIO
import warnings
import re
import json
except ImportError:
import simplejson as json
from support import html5lib_test_files
from html5lib.tokenizer import HTMLTokenizer
from html5lib import constants
class TokenizerTestParser(object):
def __init__(self, initialState, lastStartTag=None):
self.tokenizer = HTMLTokenizer
self._state = initialState
self._lastStartTag = lastStartTag
def parse(self, stream, encoding=None, innerHTML=False):
tokenizer = self.tokenizer(stream, encoding)
self.outputTokens = []
tokenizer.state = getattr(tokenizer, self._state)
if self._lastStartTag is not None:
tokenizer.currentToken = {"type": "startTag",
types = dict((v,k) for k,v in constants.tokenTypes.iteritems())
for token in tokenizer:
getattr(self, 'process%s' % types[token["type"]])(token)
return self.outputTokens
def processDoctype(self, token):
self.outputTokens.append([u"DOCTYPE", token["name"], token["publicId"],
token["systemId"], token["correct"]])
def processStartTag(self, token):
self.outputTokens.append([u"StartTag", token["name"],
dict(token["data"][::-1]), token["selfClosing"]])
def processEmptyTag(self, token):
if token["name"] not in constants.voidElements:
self.outputTokens.append([u"StartTag", token["name"], dict(token["data"][::-1])])
def processEndTag(self, token):
self.outputTokens.append([u"EndTag", token["name"],
def processComment(self, token):
self.outputTokens.append([u"Comment", token["data"]])
def processSpaceCharacters(self, token):
self.outputTokens.append([u"Character", token["data"]])
self.processSpaceCharacters = self.processCharacters
def processCharacters(self, token):
self.outputTokens.append([u"Character", token["data"]])
def processEOF(self, token):
def processParseError(self, token):
self.outputTokens.append([u"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]
return outputTokens
def normalizeTokens(tokens):
# TODO: convert tests to reflect arrays
for i, token in enumerate(tokens):
if token[0] == u'ParseError':
tokens[i] = token[0]
return 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
if not checkSelfClosing:
for token in receivedTokens:
if token[0] == "StartTag" or token[0] == "EndTag":
if not ignoreErrorOrder and not ignoreErrors:
return expectedTokens == receivedTokens
#Sort the tokens into two groups; non-parse errors and parse errors
tokens = {"expected":[[],[]], "received":[[],[]]}
for tokenType, tokenList in zip(tokens.keys(),
(expectedTokens, receivedTokens)):
for token in tokenList:
if token != "ParseError":
if not ignoreErrors:
return tokens["expected"] == tokens["received"]
def unescape_test(test):
def decode(inp):
return inp.decode("unicode-escape")
test["input"] = decode(test["input"])
for token in test["output"]:
if token == "ParseError":
token[1] = decode(token[1])
if len(token) > 2:
for key, value in token[2]:
del token[2][key]
token[2][decode(key)] = decode(value)
return test
def runTokenizerTest(test):
#XXX - move this out into the setup function
#concatenate all consecutive character tokens into a single token
if 'doubleEscaped' in test:
test = unescape_test(test)
expected = concatenateCharacterTokens(test['output'])
if 'lastStartTag' not in test:
test['lastStartTag'] = None
outBuffer = cStringIO.StringIO()
stdout = sys.stdout
sys.stdout = outBuffer
parser = TokenizerTestParser(test['initialState'],
tokens = parser.parse(test['input'])
tokens = concatenateCharacterTokens(tokens)
received = normalizeTokens(tokens)
errorMsg = u"\n".join(["\n\nInitial state:",
test['initialState'] ,
"\nInput:", unicode(test['input']),
"\nExpected:", unicode(expected),
"\nreceived:", unicode(tokens)])
errorMsg = errorMsg.encode("utf-8")
ignoreErrorOrder = test.get('ignoreErrorOrder', False)
assert tokensMatch(expected, received, ignoreErrorOrder), errorMsg
def _doCapitalize(match):
_capitalizeRe = re.compile(r"\W+(\w)").sub
def capitalize(s):
s = s.lower()
s = _capitalizeRe(_doCapitalize, s)
return s
def test_tokenizer():
for filename in html5lib_test_files('tokenizer', '*.test'):
tests = json.load(file(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 'initialStates' not in test:
test["initialStates"] = ["Data state"]
for initialState in test["initialStates"]:
test["initialState"] = capitalize(initialState)
yield runTokenizerTest, test