first trial

Dockerfile

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+ARG env=prod
+
+FROM python:3.10
+
+WORKDIR /app
+
+COPY ./requirements.txt /app/requirements.txt
+
+RUN pip3 install --no-cache-dir -r /app/requirements.txt
+
+# User
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME /home/user
+ENV PATH $HOME/.local/bin:$PATH
+
+WORKDIR $HOME
+RUN mkdir app
+WORKDIR $HOME/app
+COPY . $HOME/app
+
+# mount secrets
+RUN if [ "$env" != "dev" ] --mount=type=secret,id=BOT_TOKEN,mode=0444,required=true ; then \
+ git init && \
+ git remote add origin $(cat /run/secrets/BOT_TOKEN) ; fi
+
+CMD python etymbot.py

etymbot.py

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+from telegram.ext import Updater
+from telegram.ext import InlineQueryHandler
+from bs4 import BeautifulSoup
+import requests
+import logging
+from telegram import InlineQueryResultArticle, InputTextMessageContent
+import os
+
+logger = logging.getLogger(__name__)
+
+updater = Updater(token=os.getenv("BOT_TOKEN"))
+dispatcher = updater.dispatcher
+logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+                    level=logging.INFO)
+SEARCH_URL = 'https://www.etymonline.com/search?q='
+
+
+def inline_etym(update, context):
+    query = update.inline_query.query
+    try:
+        logger.info(f"Query: {query}")
+        results = list()
+        text = first_result_return(query)
+        content = f"{query}:\n{text}"
+        results.append(InlineQueryResultArticle(
+            id=query,
+            title=query,
+            input_message_content=InputTextMessageContent(content))
+        )
+        context.bot.answer_inline_query(update.inline_query.id, results)
+    except AttributeError:
+        pass
+
+
+if __name__ == '__main__':
+    inline_etym_handler = InlineQueryHandler(inline_etym)
+    dispatcher.add_handler(inline_etym_handler)
+    updater.start_polling()
+
+
+'''
+functions from https://github.com/tetrismegistus/etym
+''' 
+
+
+def soup_search(search_term):
+    # post request to search URL, return beautiful soup parsed object
+    url = SEARCH_URL + search_term
+    response = requests.get(url)
+    return BeautifulSoup(response.text, 'html.parser')
+
+
+def first_result_return(word):
+    search_page = soup_search(word)
+    return search_page.find("section", class_="word__defination--2q7ZH undefined").get_text()