zulip/tools/lib/capitalization.py

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import re
from typing import List, Match, Tuple
from bs4 import BeautifulSoup
# The phrases in this list will be ignored. The longest phrase is
# tried first; this removes the chance of smaller phrases changing
# the text before longer phrases are tried.
# The errors shown by `tools/check-capitalization` can be added to
# this list without any modification.
IGNORED_PHRASES = [
# Proper nouns and acronyms
r"API",
r"APNS",
r"Botserver",
r"Cookie Bot",
r"DevAuthBackend",
r"DSN",
r"GCM",
r"GitHub",
r"Gravatar",
r"Help Center",
r"HTTP",
r"ID",
r"IDs",
r"IP",
r"JSON",
r"Kerberos",
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r"LDAP",
r"Markdown",
r"OTP",
r"Pivotal",
r"DM",
r"DMs",
r"Slack",
r"Google",
r"Terms of Service",
r"Tuesday",
r"URL",
r"UUID",
r"Webathena",
r"WordPress",
r"Zephyr",
r"Zoom",
r"Zulip",
r"Zulip Server",
r"Zulip Account Security",
r"Zulip Security",
r"Zulip Cloud Standard",
r"BigBlueButton",
# Code things
r"\.zuliprc",
# BeautifulSoup will remove <z-user> which is horribly confusing,
# so we need more of the sentence.
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r"<z-user></z-user> will have the same role",
r"<z-user></z-user> will have the same properties",
# Things using "I"
r"I understand",
r"I'm",
r"I've",
r"Topics I participate in",
r"Topics I send a message to",
r"Topics I start",
# Specific short words
r"beta",
r"and",
r"bot",
r"e\.g\.",
r"enabled",
r"signups",
# Placeholders
r"keyword",
r"streamname",
r"user@example\.com",
r"acme",
# Fragments of larger strings
r"your subscriptions on your Streams page",
r"Add global time<br />Everyone sees global times in their own time zone\.",
r"user",
r"an unknown operating system",
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r"Go to Settings",
# SPECIAL CASES
# Because topics usually are lower-case, this would look weird if it were capitalized
r"more topics",
# Used alone in a parenthetical where capitalized looks worse.
r"^deprecated$",
# We want the similar text in the Private Messages section to have the same capitalization.
r"more conversations",
r"back to streams",
# Capital 'i' looks weird in reminders popover
r"in 1 hour",
r"in 20 minutes",
r"in 3 hours",
# these are used as topics
r"^new streams$",
r"^stream events$",
# These are used as example short names (e.g. an uncapitalized context):
r"^marketing$",
r"^cookie$",
# Used to refer custom time limits
r"\bN\b",
# Capital c feels obtrusive in clear status option
r"clear",
r"group direct messages with \{recipient\}",
r"direct messages with \{recipient\}",
r"direct messages with yourself",
r"GIF",
# Emoji name placeholder
r"leafy green vegetable",
# Subdomain placeholder
r"your-organization-url",
# Used in invite modal
r"or",
# Used in GIPHY integration setting. GIFs Rating.
r"rated Y",
r"rated G",
r"rated PG",
r"rated PG13",
r"rated R",
# Used in GIPHY popover.
r"GIFs",
r"GIPHY",
# Used in our case studies
r"Technical University of Munich",
r"University of California San Diego",
# Used in stream creation form
r"email hidden",
# Use in compose box.
r"to send",
r"to add a new line",
# Used in showing Notification Bot read receipts message
"Notification Bot",
# Used in presence_enabled setting label
r"invisible mode off",
# Typeahead suggestions for "Pronouns" custom field type.
r"he/him",
r"she/her",
r"they/them",
# Used in message-move-time-limit setting label
r"does not apply to moderators and administrators",
# Used in message-delete-time-limit setting label
r"does not apply to administrators",
# Used as indicator with names for guest users.
r"guest",
# Used in pills for deactivated users.
r"deactivated",
]
# Sort regexes in descending order of their lengths. As a result, the
# longer phrases will be ignored first.
IGNORED_PHRASES.sort(key=lambda regex: len(regex), reverse=True)
# Compile regexes to improve performance. This also extracts the
# text using BeautifulSoup and then removes extra whitespaces from
# it. This step enables us to add HTML in our regexes directly.
COMPILED_IGNORED_PHRASES = [
re.compile(" ".join(BeautifulSoup(regex, "lxml").text.split())) for regex in IGNORED_PHRASES
]
SPLIT_BOUNDARY = "?.!" # Used to split string into sentences.
SPLIT_BOUNDARY_REGEX = re.compile(rf"[{SPLIT_BOUNDARY}]")
# Regexes which check capitalization in sentences.
DISALLOWED = [
r"^[a-z](?!\})", # Checks if the sentence starts with a lower case character.
r"^[A-Z][a-z]+[\sa-z0-9]+[A-Z]", # Checks if an upper case character exists
# after a lower case character when the first character is in upper case.
]
DISALLOWED_REGEX = re.compile(r"|".join(DISALLOWED))
BANNED_WORDS = {
"realm": "The term realm should not appear in user-facing strings. Use organization instead.",
}
def get_safe_phrase(phrase: str) -> str:
"""
Safe phrase is in lower case and doesn't contain characters which can
conflict with split boundaries. All conflicting characters are replaced
with low dash (_).
"""
phrase = SPLIT_BOUNDARY_REGEX.sub("_", phrase)
return phrase.lower()
def replace_with_safe_phrase(matchobj: Match[str]) -> str:
"""
The idea is to convert IGNORED_PHRASES into safe phrases, see
`get_safe_phrase()` function. The only exception is when the
IGNORED_PHRASE is at the start of the text or after a split
boundary; in this case, we change the first letter of the phrase
to upper case.
"""
ignored_phrase = matchobj.group(0)
safe_string = get_safe_phrase(ignored_phrase)
start_index = matchobj.start()
complete_string = matchobj.string
is_string_start = start_index == 0
# We expect that there will be one space between split boundary
# and the next word.
punctuation = complete_string[max(start_index - 2, 0)]
is_after_split_boundary = punctuation in SPLIT_BOUNDARY
if is_string_start or is_after_split_boundary:
return safe_string.capitalize()
return safe_string
def get_safe_text(text: str) -> str:
"""
This returns text which is rendered by BeautifulSoup and is in the
form that can be split easily and has all IGNORED_PHRASES processed.
"""
soup = BeautifulSoup(text, "lxml")
text = " ".join(soup.text.split()) # Remove extra whitespaces.
for phrase_regex in COMPILED_IGNORED_PHRASES:
text = phrase_regex.sub(replace_with_safe_phrase, text)
return text
def is_capitalized(safe_text: str) -> bool:
sentences = SPLIT_BOUNDARY_REGEX.split(safe_text)
return not any(DISALLOWED_REGEX.search(sentence.strip()) for sentence in sentences)
def check_banned_words(text: str) -> List[str]:
lower_cased_text = text.lower()
errors = []
for word, reason in BANNED_WORDS.items():
if word in lower_cased_text:
# Hack: Should move this into BANNED_WORDS framework; for
# now, just hand-code the skips:
if "realm_name" in lower_cased_text or "realm_uri" in lower_cased_text:
continue
kwargs = dict(word=word, text=text, reason=reason)
msg = "{word} found in '{text}'. {reason}".format(**kwargs)
errors.append(msg)
return errors
def check_capitalization(strings: List[str]) -> Tuple[List[str], List[str], List[str]]:
errors = []
ignored = []
banned_word_errors = []
for text in strings:
text = " ".join(text.split()) # Remove extra whitespaces.
safe_text = get_safe_text(text)
has_ignored_phrase = text != safe_text
capitalized = is_capitalized(safe_text)
if not capitalized:
errors.append(text)
elif has_ignored_phrase:
ignored.append(text)
banned_word_errors.extend(check_banned_words(text))
return sorted(errors), sorted(ignored), sorted(banned_word_errors)