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