inlines first iteration

server/custom.py

@@ -11,7 +11,7 @@ import logging
 import typing as ty
 from olgram.settings import ServerSettings
 from olgram.models.models import Bot, GroupChat, BannedUser
-
+from server.inlines import inline_handler
 
 _logger = logging.getLogger(__name__)
 _logger.setLevel(logging.INFO)
@@ -136,6 +136,11 @@ async def receive_left(message: types.Message):
             await bot.save()
 
 
+async def receive_inline(inline_query):
+    bot = db_bot_instance.get()
+    return await inline_handler(inline_query, bot)
+
+
 async def receive_migrate(message: types.Message):
     bot = db_bot_instance.get()
     from_id = message.chat.id
@@ -175,6 +180,7 @@ class CustomRequestHandler(WebhookRequestHandler):
         dp.register_message_handler(receive_left, content_types=[types.ContentType.LEFT_CHAT_MEMBER])
         dp.register_message_handler(receive_migrate, content_types=[types.ContentType.MIGRATE_TO_CHAT_ID])
         dp.register_message_handler(receive_group_create, content_types=[types.ContentType.GROUP_CHAT_CREATED])
+        dp.register_inline_handler(receive_inline)
 
         return dp
 

server/inlines.py

@@ -0,0 +1,36 @@
+from aiocache import cached
+import hashlib
+from aiogram.types import InlineQuery, InputTextMessageContent, InlineQueryResultArticle
+
+from olgram.models.models import Bot, DefaultAnswer
+import typing as ty
+
+
+@cached(ttl=1)
+async def get_phrases(bot: int) -> ty.List:
+    objects = await DefaultAnswer.filter(bot_id=bot)
+    return [obj.text for obj in objects]
+
+
+async def inline_handler(inline_query: InlineQuery, bot: Bot):
+    # Check permissions at first
+    # user_id = inline_query.from_user.id
+    # if bot.super_chat_id() != user_id:
+    #    return await inline_query.answer([], cache_time=1)  # forbidden
+
+    all_phrases = await get_phrases(bot.id)
+    phrases = [phrase for phrase in all_phrases if inline_query.query.lower() in phrase.lower()]
+
+    items = []
+    for phrase in phrases:
+
+        input_content = InputTextMessageContent(phrase)
+        result_id: str = hashlib.md5(phrase.encode()).hexdigest()
+        item = InlineQueryResultArticle(
+            id=result_id,
+            title=phrase,
+            input_message_content=input_content,
+        )
+        items.append(item)
+
+    await inline_query.answer(results=items, cache_time=1)