60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
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from __future__ import annotations
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import logging
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import re
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logger = logging.getLogger(__name__)
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CHANNEL_PREFIX = "nextcloud-talk"
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_PURE_TOKEN_PATTERN = re.compile(r"^[a-z0-9]{20,64}$")
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def is_pure_token(target: str) -> bool:
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return bool(_PURE_TOKEN_PATTERN.match(target.strip()))
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def resolve_target_with_hint(target: str) -> tuple[str, dict[str, str]]:
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target = target.strip().lower()
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hints: dict[str, str] = {}
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if is_pure_token(target):
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hints["resolver_hint"] = "direct_token"
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return f"{CHANNEL_PREFIX}:{target}", hints
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if target.startswith("room:"):
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hints["resolver_hint"] = "room_token"
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elif target.startswith("user:"):
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hints["resolver_hint"] = "user_id"
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result = normalize_nc_target(target)
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return result, hints
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def normalize_nc_target(target: str) -> str:
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target = target.strip().lower()
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for prefix in ("nextcloud-talk:", "nextcloudtalk:", "nc-talk:", "nc:"):
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if target.startswith(prefix):
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target = target[len(prefix) :]
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break
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return f"{CHANNEL_PREFIX}:{target}"
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def strip_nc_prefix(target: str) -> str:
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target = target.strip().lower()
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for prefix in ("nextcloud-talk:", "nextcloudtalk:", "nc-talk:", "nc:"):
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if target.startswith(prefix):
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return target[len(prefix) :]
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return target
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def looks_like_nc_target(target_id: str) -> bool:
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target_id = target_id.strip().lower()
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prefixes = ("nextcloud-talk:", "nextcloudtalk:", "nc-talk:", "nc:")
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return any(target_id.startswith(p) for p in prefixes)
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def normalize_room_target(token: str) -> str:
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return f"{CHANNEL_PREFIX}:room:{token}"
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def normalize_user_target(user_id: str) -> str:
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return f"{CHANNEL_PREFIX}:{user_id}"
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