add testing database and chatgpt factories (#28)

* add testing database and chatgpt factories

* include lint job to develop stage

* reformat audioconverter save files to tmp directory

* add api tests

* update README.md

bot_microservice/core/bot/commands.py

@@ -32,8 +32,10 @@ async def about_me(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
 async def about_bot(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
     if not update.effective_message:
         return None
+    chat_gpt_service = ChatGptService.build()
+    model = await chat_gpt_service.get_current_chatgpt_model()
     await update.effective_message.reply_text(
-        f"Бот использует бесплатную модель {settings.GPT_MODEL} для ответов на вопросы. "
+        f"Бот использует бесплатную модель {model} для ответов на вопросы. "
         f"\nПринимает запросы на разных языках.\n\nБот так же умеет переводить русские голосовые сообщения в текст. "
         f"Просто пришлите голосовуху и получите поток сознания в виде текста, но без знаков препинания",
         parse_mode="Markdown",
@@ -87,9 +89,9 @@ async def voice_recognize(update: Update, context: ContextTypes.DEFAULT_TYPE) ->
 
     logger.info("file has been saved", filename=tmpfile.name)
 
-    speech_to_text_service = SpeechToTextService()
+    speech_to_text_service = SpeechToTextService(filename=tmpfile.name)
 
-    speech_to_text_service.get_text_from_audio(filename=tmpfile.name)
+    speech_to_text_service.get_text_from_audio()
 
     part = 0
     while speech_to_text_service.text_parts or not speech_to_text_service.text_recognised:

bot_microservice/core/bot/repository.py

@@ -28,14 +28,15 @@ class ChatGPTRepository:
             return result.scalars().all()
 
     async def change_chatgpt_model_priority(self, model_id: int, priority: int) -> None:
-        current_model = await self.get_current_chatgpt_model()
-
-        reset_priority_query = update(ChatGpt).values(priority=0).filter(ChatGpt.model == current_model)
-        set_new_priority_query = update(ChatGpt).values(priority=priority).filter(ChatGpt.model == model_id)
-
+        query = update(ChatGpt).values(priority=priority).filter(ChatGpt.id == model_id)
         async with self.db.get_transaction_session() as session:
-            await session.execute(reset_priority_query)
-            await session.execute(set_new_priority_query)
+            await session.execute(query)
+
+    async def reset_all_chatgpt_models_priority(self) -> None:
+        query = update(ChatGpt).values(priority=0)
+
+        async with self.db.session() as session:
+            await session.execute(query)
 
     async def add_chatgpt_model(self, model: str, priority: int) -> dict[str, str | int]:
         query = (

bot_microservice/core/bot/services.py

@@ -1,5 +1,6 @@
 import os
 import subprocess  # noqa
+import tempfile
 from concurrent.futures.thread import ThreadPoolExecutor
 from dataclasses import dataclass
 from typing import Any, Sequence
@@ -21,22 +22,23 @@ from settings.config import settings
 
 
 class SpeechToTextService:
-    def __init__(self) -> None:
+    def __init__(self, filename: str) -> None:
+        self.filename = filename
         self.executor = ThreadPoolExecutor()
         self.recognizer = Recognizer()
         self.recognizer.energy_threshold = 50
         self.text_parts: dict[int, str] = {}
         self.text_recognised = False
 
-    def get_text_from_audio(self, filename: str) -> None:
-        self.executor.submit(self.worker, filename=filename)
+    def get_text_from_audio(self) -> None:
+        self.executor.submit(self._worker)
 
-    def worker(self, filename: str) -> Any:
-        self._convert_file_to_wav(filename)
-        self._convert_audio_to_text(filename)
+    def _worker(self) -> Any:
+        self._convert_file_to_wav()
+        self._convert_audio_to_text()
 
-    def _convert_audio_to_text(self, filename: str) -> None:
-        wav_filename = f"{filename}.wav"
+    def _convert_audio_to_text(self) -> None:
+        wav_filename = f"{self.filename}.wav"
 
         speech = AudioSegment.from_wav(wav_filename)
         speech_duration = len(speech)
@@ -51,40 +53,38 @@ class SpeechToTextService:
                 sound_segment = speech[i * AUDIO_SEGMENT_DURATION - 250 : i * AUDIO_SEGMENT_DURATION + ending]
             else:
                 sound_segment = speech[i * AUDIO_SEGMENT_DURATION - 250 : (i + 1) * AUDIO_SEGMENT_DURATION]
-            self.text_parts[i] = self._recognize_by_google(wav_filename, sound_segment)
+            self.text_parts[i] = self._recognize_by_google(sound_segment)
 
         self.text_recognised = True
 
         # clean temp voice message main files
         try:
             os.remove(wav_filename)
-            os.remove(filename)
+            os.remove(self.filename)
         except FileNotFoundError as error:
-            logger.error("error temps files not deleted", error=error, filenames=[filename, wav_filename])
+            logger.error("error temps files not deleted", error=error, filenames=[self.filename, wav_filename])
 
-    @staticmethod
-    def _convert_file_to_wav(filename: str) -> None:
-        new_filename = filename + ".wav"
-        cmd = ["ffmpeg", "-loglevel", "quiet", "-i", filename, "-vn", new_filename]
+    def _convert_file_to_wav(self) -> None:
+        new_filename = self.filename + ".wav"
+        cmd = ["ffmpeg", "-loglevel", "quiet", "-i", self.filename, "-vn", new_filename]
         try:
             subprocess.run(args=cmd)  # noqa: S603
             logger.info("file has been converted to wav", filename=new_filename)
         except Exception as error:
-            logger.error("cant convert voice", error=error, filename=filename)
+            logger.error("cant convert voice", error=error, filename=self.filename)
 
-    def _recognize_by_google(self, filename: str, sound_segment: AudioSegment) -> str:
-        tmp_filename = f"{filename}_tmp_part"
-        sound_segment.export(tmp_filename, format="wav")
-        with AudioFile(tmp_filename) as source:
-            audio_text = self.recognizer.listen(source)
-            try:
-                text = self.recognizer.recognize_google(audio_text, language="ru-RU")
-                os.remove(tmp_filename)
-                return text
-            except SpeechRecognizerError as error:
-                os.remove(tmp_filename)
-                logger.error("error recognizing text with google", error=error)
-                raise error
+    def _recognize_by_google(self, sound_segment: AudioSegment) -> str:
+        with tempfile.NamedTemporaryFile(delete=True) as tmpfile:
+            tmpfile.write(sound_segment.raw_data)
+            sound_segment.export(tmpfile, format="wav")
+            with AudioFile(tmpfile) as source:
+                audio_text = self.recognizer.listen(source)
+                try:
+                    text = self.recognizer.recognize_google(audio_text, language="ru-RU")
+                    return text
+                except SpeechRecognizerError as error:
+                    logger.error("error recognizing text with google", error=error)
+                    raise error
 
 
 @dataclass
@@ -109,6 +109,9 @@ class ChatGptService:
     async def change_chatgpt_model_priority(self, model_id: int, priority: int) -> None:
         return await self.repository.change_chatgpt_model_priority(model_id=model_id, priority=priority)
 
+    async def reset_all_chatgpt_models_priority(self) -> None:
+        return await self.repository.reset_all_chatgpt_models_priority()
+
     async def add_chatgpt_model(self, gpt_model: str, priority: int) -> dict[str, str | int]:
         return await self.repository.add_chatgpt_model(model=gpt_model, priority=priority)