You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
254 lines
8.9 KiB
254 lines
8.9 KiB
from __future__ import absolute_import, division, unicode_literals
|
|
|
|
import codecs
|
|
import json
|
|
import warnings
|
|
import re
|
|
|
|
import pytest
|
|
from six import unichr
|
|
|
|
from html5lib._tokenizer import HTMLTokenizer
|
|
from html5lib import constants, _utils
|
|
|
|
|
|
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):
|
|
# pylint:disable=unused-argument
|
|
tokenizer = self.tokenizer(stream, encoding)
|
|
self.outputTokens = []
|
|
|
|
tokenizer.state = getattr(tokenizer, self._state)
|
|
if self._lastStartTag is not None:
|
|
tokenizer.currentToken = {"type": "startTag",
|
|
"name": self._lastStartTag}
|
|
|
|
types = {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"],
|
|
token["data"], 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 "ParseError" not in token and token[0] == "Character":
|
|
if (outputTokens and "ParseError" not 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 tokens
|
|
|
|
|
|
def tokensMatch(expectedTokens, receivedTokens, ignoreErrorOrder,
|
|
ignoreErrors=False):
|
|
"""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 and not ignoreErrors:
|
|
expectedTokens = concatenateCharacterTokens(expectedTokens)
|
|
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:
|
|
if not ignoreErrors:
|
|
tokens[tokenType][1].append(token)
|
|
tokens[tokenType][0] = concatenateCharacterTokens(tokens[tokenType][0])
|
|
return tokens["expected"] == tokens["received"]
|
|
|
|
|
|
_surrogateRe = re.compile(r"\\u([0-9A-Fa-f]{4})(?:\\u([0-9A-Fa-f]{4}))?")
|
|
|
|
|
|
def unescape(test):
|
|
def decode(inp):
|
|
"""Decode \\uXXXX escapes
|
|
|
|
This decodes \\uXXXX escapes, possibly into non-BMP characters when
|
|
two surrogate character escapes are adjacent to each other.
|
|
"""
|
|
# This cannot be implemented using the unicode_escape codec
|
|
# because that requires its input be ISO-8859-1, and we need
|
|
# arbitrary unicode as input.
|
|
def repl(m):
|
|
if m.group(2) is not None:
|
|
high = int(m.group(1), 16)
|
|
low = int(m.group(2), 16)
|
|
if 0xD800 <= high <= 0xDBFF and 0xDC00 <= low <= 0xDFFF:
|
|
cp = ((high - 0xD800) << 10) + (low - 0xDC00) + 0x10000
|
|
return unichr(cp)
|
|
else:
|
|
return unichr(high) + unichr(low)
|
|
else:
|
|
return unichr(int(m.group(1), 16))
|
|
try:
|
|
return _surrogateRe.sub(repl, inp)
|
|
except ValueError:
|
|
# This occurs when unichr throws ValueError, which should
|
|
# only be for a lone-surrogate.
|
|
if _utils.supports_lone_surrogates:
|
|
raise
|
|
return None
|
|
|
|
test["input"] = decode(test["input"])
|
|
for token in test["output"]:
|
|
if token == "ParseError":
|
|
continue
|
|
else:
|
|
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 _doCapitalize(match):
|
|
return match.group(1).upper()
|
|
|
|
|
|
_capitalizeRe = re.compile(r"\W+(\w)").sub
|
|
|
|
|
|
def capitalize(s):
|
|
s = s.lower()
|
|
s = _capitalizeRe(_doCapitalize, s)
|
|
return s
|
|
|
|
|
|
class TokenizerFile(pytest.File):
|
|
def collect(self):
|
|
with codecs.open(str(self.fspath), "r", encoding="utf-8") as fp:
|
|
tests = json.load(fp)
|
|
if 'tests' in tests:
|
|
for i, test in enumerate(tests['tests']):
|
|
yield TokenizerTestCollector(str(i), self, testdata=test)
|
|
|
|
|
|
class TokenizerTestCollector(pytest.Collector):
|
|
def __init__(self, name, parent=None, config=None, session=None, testdata=None):
|
|
super(TokenizerTestCollector, self).__init__(name, parent, config, session)
|
|
if 'initialStates' not in testdata:
|
|
testdata["initialStates"] = ["Data state"]
|
|
if 'doubleEscaped' in testdata:
|
|
testdata = unescape(testdata)
|
|
self.testdata = testdata
|
|
|
|
def collect(self):
|
|
for initialState in self.testdata["initialStates"]:
|
|
initialState = capitalize(initialState)
|
|
item = TokenizerTest(initialState,
|
|
self,
|
|
self.testdata,
|
|
initialState)
|
|
if self.testdata["input"] is None:
|
|
item.add_marker(pytest.mark.skipif(True, reason="Relies on lone surrogates"))
|
|
yield item
|
|
|
|
|
|
class TokenizerTest(pytest.Item):
|
|
def __init__(self, name, parent, test, initialState):
|
|
super(TokenizerTest, self).__init__(name, parent)
|
|
self.obj = lambda: 1 # this is to hack around skipif needing a function!
|
|
self.test = test
|
|
self.initialState = initialState
|
|
|
|
def runtest(self):
|
|
warnings.resetwarnings()
|
|
warnings.simplefilter("error")
|
|
|
|
expected = self.test['output']
|
|
if 'lastStartTag' not in self.test:
|
|
self.test['lastStartTag'] = None
|
|
parser = TokenizerTestParser(self.initialState,
|
|
self.test['lastStartTag'])
|
|
tokens = parser.parse(self.test['input'])
|
|
received = normalizeTokens(tokens)
|
|
errorMsg = "\n".join(["\n\nInitial state:",
|
|
self.initialState,
|
|
"\nInput:", self.test['input'],
|
|
"\nExpected:", repr(expected),
|
|
"\nreceived:", repr(tokens)])
|
|
errorMsg = errorMsg
|
|
ignoreErrorOrder = self.test.get('ignoreErrorOrder', False)
|
|
assert tokensMatch(expected, received, ignoreErrorOrder, True), errorMsg
|
|
|
|
def repr_failure(self, excinfo):
|
|
traceback = excinfo.traceback
|
|
ntraceback = traceback.cut(path=__file__)
|
|
excinfo.traceback = ntraceback.filter()
|
|
|
|
return excinfo.getrepr(funcargs=True,
|
|
showlocals=False,
|
|
style="short", tbfilter=False)
|