"""Tests for Telegram bot mention detection (bug #12545).

The old implementation used a naive substring check
(`f"@{bot_username}" in text.lower()`), which incorrectly matched partial
substrings like 'foo@hermes_bot.example'.

Detection now relies entirely on the MessageEntity objects Telegram's server
emits for real mentions. A bare `@username` substring in message text without
a corresponding `MENTION` entity is NOT a mention — this correctly ignores
@handles that appear inside URLs, code blocks, email-like strings, or quoted
text, because Telegram's parser does not emit mention entities for any of
those contexts.
"""
from types import SimpleNamespace

from gateway.config import Platform, PlatformConfig
from plugins.platforms.telegram.adapter import TelegramAdapter


def _make_adapter():
    adapter = object.__new__(TelegramAdapter)
    adapter.platform = Platform.TELEGRAM
    adapter.config = PlatformConfig(enabled=True, token="***", extra={})
    adapter._bot = SimpleNamespace(id=999, username="hermes_bot")
    return adapter


def _mention_entity(text, mention="@hermes_bot"):
    """Build a MENTION entity pointing at a literal `@username` in `text`."""
    offset = text.index(mention)
    return SimpleNamespace(type="mention", offset=offset, length=len(mention))


def _text_mention_entity(offset, length, user_id):
    """Build a TEXT_MENTION entity (used when the target user has no public @handle)."""
    return SimpleNamespace(
        type="text_mention",
        offset=offset,
        length=length,
        user=SimpleNamespace(id=user_id),
    )


def _message(text=None, caption=None, entities=None, caption_entities=None):
    return SimpleNamespace(
        text=text,
        caption=caption,
        entities=entities or [],
        caption_entities=caption_entities or [],
        message_thread_id=None,
        chat=SimpleNamespace(id=-100, type="group"),
        reply_to_message=None,
    )


class TestRealMentionsAreDetected:
    """A real Telegram mention always comes with a MENTION entity — detect those."""

    def test_mention_at_start_of_message(self):
        adapter = _make_adapter()
        text = "@hermes_bot hello world"
        msg = _message(text=text, entities=[_mention_entity(text)])
        assert adapter._message_mentions_bot(msg) is True


    def test_text_mention_entity_targets_bot(self):
        """TEXT_MENTION is Telegram's entity type for @FirstName -> user without a public handle."""
        adapter = _make_adapter()
        msg = _message(text="hey you", entities=[_text_mention_entity(4, 3, user_id=999)])
        assert adapter._message_mentions_bot(msg) is True


class TestSubstringFalsePositivesAreRejected:
    """Bare `@bot_username` substrings without a MENTION entity must NOT match.

    These are all inputs where the OLD substring check returned True incorrectly.
    A word-boundary regex would still over-match some of these (code blocks,
    URLs). Entity-based detection handles them all correctly because Telegram's
    parser does not emit mention entities for non-mention contexts.
    """

    def test_email_like_substring(self):
        """bug #12545 exact repro: 'foo@hermes_bot.example'."""
        adapter = _make_adapter()
        msg = _message(text="email me at foo@hermes_bot.example")
        assert adapter._message_mentions_bot(msg) is False


    def test_substring_inside_url_without_entity(self):
        """@handle inside a URL produces a URL entity, not a MENTION entity."""
        adapter = _make_adapter()
        msg = _message(text="see https://example.com/@hermes_bot for details")
        assert adapter._message_mentions_bot(msg) is False


    def test_email_substring_in_caption(self):
        adapter = _make_adapter()
        msg = _message(caption="foo@hermes_bot.example")
        assert adapter._message_mentions_bot(msg) is False


class TestEntityEdgeCases:
    """Malformed or mismatched entities should not crash or over-match."""


    def test_malformed_entity_with_negative_offset(self):
        adapter = _make_adapter()
        msg = _message(text="@hermes_bot hi",
                       entities=[SimpleNamespace(type="mention", offset=-1, length=11)])
        assert adapter._message_mentions_bot(msg) is False


class TestCaseInsensitivity:
    """Telegram usernames are case-insensitive; the slice-compare normalizes both sides."""

    def test_uppercase_mention(self):
        adapter = _make_adapter()
        text = "hi @HERMES_BOT"
        msg = _message(text=text, entities=[_mention_entity(text, mention="@HERMES_BOT")])
        assert adapter._message_mentions_bot(msg) is True

