def check_for_match(self, pattern: re.Pattern) -> bool:
match = []
if self.title:
match += pattern.findall(self.title.lower())
if self.text:
match += pattern.findall(self.text.lower())
if match:
logger.info('{0} - {1}: Match!!!'.format(self.id,
self.source_name))
self.match_words = tools.delete_duplicates(match)
return True
else:
return False
def parse_cpp(input_string: str, regex: re.Pattern = FRAME_REGEX) ->...:
"""
this method parses the input_string using the regex pattern
and compiles a list of Class objects containing every c++ class
:input_string: a string containing c++ code.
:regex: a regex pattern, to be used to parse c++ structs and classes
:return: a list() containg Class() objects
"""
classes = []
for match in regex.findall(input_string):
cpp_class = Class(match[1].strip(), [], [])
# parse description
cli_description = CLI_FLAG_REGEX.findall(match[0])
if cli_description:
cpp_class.doc_string.extend([
line.strip()
for line in COMMENT_REGEX.findall(cli_description[0])
])
# parse function body
for line in match[2].split('\n'):
line = line.strip()
if line.endswith((';', ',')):
line = line[:-1]
if not line or line.startswith('//'):
continue
cpp_class.members.append(line)
classes.append(cpp_class)
return classes
def resolve_path(
self,
path: str,
*,
_rx: re.Pattern = re.compile("{([^}{]+)}"), # {xxx} or {xxx:int}
_default_schema: t.Dict[str, t.Any] = {"type": "string"},
) -> t.Tuple[str, t.Optional[t.Dict[str, t.Dict[str, t.Any]]]]:
v = self._parsed_path_map.get(path)
if v is not None:
return v
if "{" not in path:
v = self._parsed_path_map[path] = (path, None)
return v
schemas = {}
for pattern in _rx.findall(path):
name = pattern.strip()
schema = _default_schema
if ":" in pattern:
name, typ = name.split(":", 1)
name = name.strip()
typ = typ.strip() # todo: lookup type
schema = {"type": typ} # xxx
path = path.replace(pattern, name)
schemas[name] = schema
return path, schemas
def normalise_text_to_only_regex_matches(text: str, matcher: re.Pattern) -> str:
"""
Filter out the characters in the text that do not match the given matcher
:param text: str
:param matcher: re.Pattern
:return: str
"""
return "".join(matcher.findall(text))
def process_url(url:str, pattern:re.Pattern, target:str) -> str:
try:
html = url_to_html(url) # Get html from a given url
matches = pattern.findall(html) # Find all regex matches in html according to given pattern
matches = [match for match in matches if target in match] # Filter the matches to those which contain a particular target string
return ','.join(matches) if matches else 'none' # Convert this list of matches to a comma-separated string
except HTTPError:
return 'url not found'
except ValueError:
return 'not a valid web address'
def _find_inner(partial_xmp: str, pattern: re.Pattern) -> str:
match = pattern.findall(partial_xmp)
# If called on a string but no match was found, findall() returns an empty list:
if match:
# Returns the whole match
return match[0]
else:
raise XMPTagNotFoundError(
"A tag pattern did not match with the XMP string. The tag may not exist."
)
def findall_in_files(pattern: re.Pattern, filenames: List[str],
encoding: str) -> re.Match:
"""Generator"""
for filename in filenames:
logging.debug('util.findall_in_files: input file %s', filename)
with open(filename, 'rb') as ifile:
for match in pattern.findall(ifile.read().decode(encoding)):
logging.debug(
'util.findall_in_files(): match: file = %s, text = %s',
filename, match)
yield match
def _fuzzy_id(self, regex: re.Pattern, text: str) -> str:
"""transform a sample id into fuzzy mode according the regex pattern
Args:
regex (re.Pattern): The info retains are in the capture patterns
text (str): input sample id
Returns:
str: fuzzy mode sample id
"""
matches = regex.findall(text)
if matches:
text = '_'.join(matches[0])
return text
def parse_single_match(words: list, compiled_re: re.Pattern) -> float:
"""
Loop through words and try to match them to compiled_re.
Return match as a float.
Note: current word is removed from original list.
:param words: list of words
:param compiled_re:
:return: float volume
"""
for i in range(len(words)):
w = words[i].replace(",", ".")
m = compiled_re.findall(w)
if m:
val = float(m[0])
words.pop(i)
return val
def parse_dup_match(words: list, compiled_re: re.Pattern, units: dict) -> float:
"""
Loop through words and return a float, if a volume string (1dl, 0.5l etc) is found.
Note: current word is removed from original list.
:param words: list of words
:param compiled_re:
:param units:
:return: float volume
"""
for i in range(len(words)):
w = words[i].replace(",", ".")
m = compiled_re.findall(w)
if m:
val = float(m[0][0]) * units[m[0][1]]
words.pop(i)
return val
def _get_latest(
html: str,
pattern: re.Pattern,
sort_key=t.Optional[t.Callable]
) -> t.Optional[t.Union[str, t.Tuple[str, ...]]]:
match = pattern.findall(html)
if not match:
log.warning("%s did not match", pattern.pattern)
return None
if sort_key is None or len(match) == 1:
result = match[0]
else:
log.debug("%s matched multiple times, selected latest",
pattern.pattern)
result = max(match, key=sort_key)
log.debug("%s matched %s", pattern.pattern, result)
return result
def replace(self, search_value: re.Pattern, replace_value: str, replace_replaced_words: bool = False):
if not replace_replaced_words and self.search_value_contains_replaced_words(search_value, replace_value):
return self
replacing_word = self.word
if search_value.search(self.word) is not None:
replacing_word = search_value.sub(replace_value, self.word)
collection = search_value.findall(self.word)
replaced_words: List[str]
if len(collection) > 1:
replaced_words = list(map(lambda s: s.replace(s, replace_value), collection))
else:
replaced_words = []
if replacing_word != self.word:
for word in replaced_words:
self.replaced_words.add(word)
self.word = replacing_word
return self
def replace_with_func_single(self, search_value: re.Pattern, func: Callable[[], str], replace_replaced_words: bool = False):
replace_value = func()
if not replace_replaced_words and self.search_value_contains_replaced_words(search_value, replace_value):
return self
replacing_word = self.word
if search_value.search(self.word) is not None:
match = search_value.search(self.word).group()
replacing_word = self.word.replace(match, replace_value)
collection = search_value.findall(self.word)
replaced_words: List[str]
if len(collection) > 1:
replaced_words = list(map(lambda s: s.replace(s, replace_value), collection))
else:
replaced_words = []
if replacing_word != self.word:
for word in replaced_words:
self.replaced_words.add(word)
self.word = replacing_word
return self
def cut_part(
text: str,
split_pattern: re.Pattern,
with_spliter: bool = True,
with_offset: bool = False) -> list:
"""
Cut text to parts by the given Regex Pattern.
Parameters
----------
text: raw text.
split_pattern: how to split text.
with_spliter: whether the parts contain spliters.
with_offset: whether the parts contain offsets.
Returns
--------
out: cutted parts.
"""
spliters = split_pattern.findall(text)
length = len(spliters)
lst = []
start = 0
for i, part in enumerate(split_pattern.split(text)):
if i < length:
if with_spliter:
part = part + spliters[i]
len_spliter = 0
else:
len_spliter = len(spliters[i])
else:
len_spliter = 0
end = start + len(part) + len_spliter
if part:
if with_offset:
item = (part, start, end)
else:
item = part
lst.append(item)
start = end
return lst
def parseTimeFromRegex_(regex: re.Pattern, text: str) -> int:
results = regex.findall(text)
if len(results) == 0:
return None
if results[0][0] == '':
return None
hours = 0
minutes = 0
seconds = 0
milliseconds = 0
try:
hours = int(results[0][0])
minutes = int(results[0][1])
seconds = float(results[0][2])
milliseconds = float(results[0][3])
except Exception:
pass
# 对于 timeColonFormatMilliseconds_ 来说 这里是匹配不到 milliseconds 的
# 不过下一步计算的时候 由于seconds是小数 所以又修正了...
return (milliseconds / 1000) + seconds + (minutes * 60) + (hours * 3600)
def replace_with_func_multiple(self, search_value: re.Pattern, func: Callable[[str, str], str], replace_replaced_words: bool = False):
if search_value.search(self.word) is None:
return self
word = self.word
captures = search_value.search(word)
replace_value = func(captures.group(1), captures.group(2))
if not replace_replaced_words and self.search_value_contains_replaced_words(search_value, replace_value):
return self
replacing_word = self.word.replace(captures.group(0), replace_value)
collection = search_value.findall(self.word)
collection = list(flatten(collection))
replaced_words: List[str]
if len(collection) > 1:
replaced_words = list(map(lambda s: s.replace(s, replace_value), collection))
else:
replaced_words = []
if replacing_word != self.word:
for word in replaced_words:
self.replaced_words.add(word)
self.word = replacing_word
return self
def main(imgur_id: str, imgur_secret: str, imgur_refresh: str,
reddit_secret: str, reddit_id: str, reddit_password: str,
reddit_agent: str, reddit_username: str, latex: re.Pattern,
context: re.Pattern, hypercontext: re.Pattern) -> None:
"""Runs the bot
:param imgur_id: The Imgur client ID
:type imgur_id: str
:param imgur_secret: The Imgur client secret
:type imgur_secret: str
:param imgur_refresh: The Imgur client refresh token
:type imgur_refresh: str
:param reddit_secret: The script secret
:type reddit_secret: str
:param reddit_id: The script ID
:type reddit_id: str
:param reddit_password: The bot account's password
:type reddit_password: str
:param reddit_agent: The script's user agent
:type reddit_agent: str
:param reddit_username: The bot account's username
:type reddit_username: str
:param latex: The pattern to match for a LaTeX expression
:type latex: re.Pattern
:param context: The pattern to match for a context
:type context: re.Pattern
:param hypercontext: The pattern to match for a hyperlink's context
:type hypercontext: re.Pattern
:raises ValueError: Any of the credentials are invalid
"""
# Recursively starts bot in case of 503
try:
# Creates the Reddit client and the Imgur client
r = reddit_client(reddit_secret, reddit_id, reddit_password,
reddit_agent, reddit_username)
i = authenticate(imgur_id, imgur_secret, imgur_refresh)
while True:
# Inbox records all mentions in Reddit
# This will use Reddit inbox's read/unread feature to keep track of processed comments
for comment in praw.models.util.stream_generator(r.inbox.unread):
contexts = []
formulae = []
ctx = []
hyperctx = []
# For each formula found, add to the list
formulae.extend(latex.findall(comment.body))
# Add context for each formula to the list
contexts.extend(re.split(latex, comment.body))
for content in contexts:
# Add primary contexts to a list
ctx.extend(context.findall(content))
# Add hyperlink contexts to a list
hyperctx.extend(hypercontext.findall(content))
if formulae != []:
try:
with timeout(10):
form_comment(i, comment, formulae, ctx, hyperctx)
# This covers people making LaTeX renders that are too big
except Exception:
comment.mark_read()
except Exception:
time.sleep(60)
main(imgur_id, imgur_secret, imgur_refresh, reddit_secret, reddit_id,
reddit_password, reddit_agent, reddit_username, latex, context,
hypercontext)
def find_matches(pattern: re.Pattern, input_str: str) -> bool:
matches = pattern.findall(input_str)
if len(matches) == 0:
return False
return True
def _test_regex_findall_dict(self, regex: re.Pattern,
dct: Dict[str, List[str]]):
for test, matches in dct.items():
with self.subTest(test=test):
self.assertEqual(matches, regex.findall(test))
def find_tier(x: str, compiled_re: re.Pattern):
matches = compiled_re.findall(x)
if matches:
return matches[0]
return None