Refactor examples/inline_bot.py

examples/inline_bot.py

@@ -1,9 +1,11 @@
-import asyncio
+import hashlib
 import logging
 
-from aiogram import Bot, types, Dispatcher, executor
+from aiogram import Bot, Dispatcher, executor
+from aiogram.types import InlineQuery, \
+    InputTextMessageContent, InlineQueryResultArticle
 
-API_TOKEN = 'BOT TOKEN HERE'
+API_TOKEN = 'BOT_TOKEN_HERE'
 
 logging.basicConfig(level=logging.DEBUG)
 
@@ -12,10 +14,22 @@ dp = Dispatcher(bot)
 
 
 @dp.inline_handler()
-async def inline_echo(inline_query: types.InlineQuery):
-    input_content = types.InputTextMessageContent(inline_query.query or 'echo')
-    item = types.InlineQueryResultArticle(id='1', title='echo',
-                                          input_message_content=input_content)
+async def inline_echo(inline_query: InlineQuery):
+    # id affects both preview and content,
+    # so it has to be unique for each result
+    # (Unique identifier for this result, 1-64 Bytes)
+    # you can set your unique id's
+    # but for example i'll generate it based on text because I know, that
+    # only text will be passed in this example
+    text = inline_query.query or 'echo'
+    input_content = InputTextMessageContent(text)
+    result_id: str = hashlib.md5(text.encode()).hexdigest()
+    item = InlineQueryResultArticle(
+        id=result_id,
+        title=f'Result {text!r}',
+        input_message_content=input_content,
+    )
+    # don't forget to set cache_time=1 for testing (default is 300s or 5m)
     await bot.answer_inline_query(inline_query.id, results=[item], cache_time=1)