feat: add video messages recognition

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parent f5c208ae2d
commit 7c513c6395
4 changed files with 385 additions and 2 deletions

214
poetry.lock generated
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{file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"},
]
[package.extras]
docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
fpx = ["olefile"]
mic = ["olefile"]
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
typing = ["typing-extensions"]
xmp = ["defusedxml"]
[[package]]
name = "pluggy"
version = "1.5.0"
@ -1055,6 +1239,20 @@ files = [
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "proglog"
version = "0.1.10"
description = "Log and progress bar manager for console, notebooks, web..."
optional = false
python-versions = "*"
files = [
{file = "proglog-0.1.10-py3-none-any.whl", hash = "sha256:19d5da037e8c813da480b741e3fa71fb1ac0a5b02bf21c41577c7f327485ec50"},
{file = "proglog-0.1.10.tar.gz", hash = "sha256:658c28c9c82e4caeb2f25f488fff9ceace22f8d69b15d0c1c86d64275e4ddab4"},
]
[package.dependencies]
tqdm = "*"
[[package]]
name = "punq"
version = "0.7.0"
@ -1277,6 +1475,20 @@ pluggy = ">=1.5,<2"
[package.extras]
dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "python-dotenv"
version = "1.0.1"
description = "Read key-value pairs from a .env file and set them as environment variables"
optional = false
python-versions = ">=3.8"
files = [
{file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
{file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
]
[package.extras]
cli = ["click (>=5.0)"]
[[package]]
name = "pyyaml"
version = "6.0.2"
@ -1879,4 +2091,4 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
[metadata]
lock-version = "2.0"
python-versions = "^3.12"
content-hash = "2e2d893f1d598d297ffc24e9c1815f7e0e8d78a10c56d7594128a25b612258b7"
content-hash = "63b67bba63099fa49496a404a896eacea5838f9bdeee5458e8c18cdece481273"

View File

@ -23,6 +23,7 @@ torch = "^2.5.1"
llvmlite = "0.43.0"
numba = "0.60.0"
openai-whisper = "^20240930"
moviepy = "^2.1.1"
[build-system]

View File

@ -1,3 +1,4 @@
import os
import logging
from logging import Logger
from tempfile import NamedTemporaryFile
@ -7,9 +8,11 @@ from pyrogram import filters
from pyrogram.client import Client
from pyrogram.types import Message
from pyrogram.enums import ChatAction
from pyrogram.types.messages_and_media.video import Video
from pyrogram.types.messages_and_media.video_note import VideoNote
from src.integrations.gigachat_api_client import GigaChatClient
from src.utils import speech_recognition
from src.utils import speech_recognition, video_processing
class TelegramUserBot:
@ -45,6 +48,7 @@ class TelegramUserBot:
self.logger.debug("Registering handlers.")
self.app.on_message(filters.command("ai"))(self.handle_ai_command)
self.app.on_message(filters.command("voice"))(self.handle_voice_command)
self.app.on_message(filters.command("video"))(self.handle_video_command)
async def handle_ai_command(self, client: Client, message: Message) -> None:
"""
@ -149,6 +153,13 @@ class TelegramUserBot:
self.logger.info(f"Voice message downloaded to {file_path}.")
try:
# Check voice message duration
duration: float = speech_recognition.get_audio_duration(file_path) # type: ignore
if duration > 300:
self.logger.warning(f"Voice message too long: {duration} seconds.")
await processing_message.edit_text("The voice message is too long (over 5 minutes). Please send a shorter one.")
return
# Start typing animation
await client.send_chat_action(message.chat.id, ChatAction.TYPING)
@ -178,6 +189,94 @@ class TelegramUserBot:
# Stop indicating typing action
await client.send_chat_action(message.chat.id, ChatAction.CANCEL)
# Clean up temporary files
if os.path.exists(file_path): # type: ignore
os.remove(file_path) # type: ignore
async def handle_video_command(self, client: Client, message: Message) -> None:
"""
Handle the /video command to convert a video or video note message to text with optional language selection.
Args:
client (Client): The Pyrogram Client instance.
message (Message): The incoming message containing the /video command.
"""
self.logger.info(f"Received /video command from chat_id={message.chat.id}.")
# Parse the language parameter (default to Russian)
command_parts: list[str] = message.text.split()
try:
language: str = self.get_language(command_parts[1]) if len(command_parts) > 1 else 'ru'
except ValueError as e:
await message.reply(str(e), quote=True)
return
# Check if the reply is to a video or video note message
if not (message.reply_to_message and (message.reply_to_message.video or message.reply_to_message.video_note)):
self.logger.warning("The /video command was not used in reply to a video or video note message.")
await message.reply("Please reply to a video or video note message with the /video command.", quote=True)
return
# Identify the file type (video or video note)
media_type: str = "video" if message.reply_to_message.video else "video_note"
media: Video | VideoNote = message.reply_to_message.video if media_type == "video" else message.reply_to_message.video_note
# Send an initial message indicating processing
processing_message: Message = await message.reply_to_message.reply("Processing video message to extract text...", quote=True)
with NamedTemporaryFile(delete=False) as temp_video_file:
video_path = await client.download_media(
media.file_id,
file_name=temp_video_file.name
)
self.logger.info(f"{media_type} message downloaded to {video_path}.")
try:
# Check video duration
duration: float = video_processing.get_video_duration(video_path) # type: ignore
if duration > 300:
self.logger.warning(f"{media_type} too long: {duration} seconds.")
await processing_message.edit_text("The video or video note is too long (over 5 minutes). Please send a shorter one.")
return
# Extract audio from video
output_dir = os.path.dirname(video_path) # type: ignore
audio_path: str = video_processing.extract_audio_from_video(video_path, output_dir) # type: ignore
# Convert extracted audio to text
await client.send_chat_action(message.chat.id, ChatAction.TYPING)
text: str = speech_recognition.convert_voice_to_text(audio_path, language=language) # type: ignore
self.logger.info(f"{media_type} message successfully converted to text.")
# Format the text for sending
formatted_text: str = (
f"<pre language=\"Conversion Result ({language})\">"
f"{text}"
"</pre>"
)
# Edit the initial processing message with the converted text
await processing_message.edit_text(formatted_text)
except FileNotFoundError:
self.logger.error("File not found during processing.", exc_info=True)
await processing_message.edit_text("An error occurred while processing the video message. Please try again later.")
except RuntimeError:
self.logger.error("A runtime error occurred.", exc_info=True)
await processing_message.edit_text("An error occurred while processing the video message. Please try again later.")
except Exception:
self.logger.error("An unexpected error occurred.", exc_info=True)
await processing_message.edit_text("An error occurred while processing the video message. Please try again later.")
finally:
# Stop indicating typing action
await client.send_chat_action(message.chat.id, ChatAction.CANCEL)
# Clean up temporary files
if os.path.exists(video_path): # type: ignore
os.remove(video_path) # type: ignore
if os.path.exists(audio_path):
os.remove(audio_path)
def run(self) -> None:
"""
Starts the bot.

View File

@ -0,0 +1,71 @@
import os
import logging
from logging import Logger
from moviepy import VideoFileClip
# Configure logging
logger: Logger = logging.getLogger(__name__)
def get_video_duration(video_path: str) -> float:
"""
Get the duration of a video file in seconds.
Args:
video_path (str): The path to the video file.
Returns:
float: The duration of the video in seconds.
Raises:
FileNotFoundError: If the video file does not exist.
RuntimeError: If an error occurs during processing.
"""
if not os.path.exists(video_path):
logger.error(f"Video file {video_path} does not exist.")
raise FileNotFoundError(f"Video file {video_path} does not exist.")
try:
video_clip = VideoFileClip(video_path)
duration = video_clip.duration
logger.info(f"Duration of video {video_path}: {duration} seconds.")
return duration
except Exception as e:
logger.error(f"Failed to get video duration: {e}", exc_info=True)
raise RuntimeError(f"Failed to get video duration: {e}")
finally:
video_clip.close()
def extract_audio_from_video(video_path: str, output_dir: str) -> str:
"""
Extracts the audio track from a video file and saves it as a WAV file.
Args:
video_path (str): The path to the video file.
output_dir (str): The directory where the audio file will be saved.
Returns:
str: The path to the extracted audio file.
Raises:
FileNotFoundError: If the video file does not exist.
RuntimeError: If an error occurs during audio extraction.
"""
if not os.path.exists(video_path):
logger.error(f"Video file {video_path} does not exist.")
raise FileNotFoundError(f"Video file {video_path} does not exist.")
try:
logger.info(f"Extracting audio from video: {video_path}")
video_clip = VideoFileClip(video_path)
audio_path = os.path.join(output_dir, f"{os.path.splitext(os.path.basename(video_path))[0]}.wav")
video_clip.audio.write_audiofile(audio_path) # type: ignore
logger.info(f"Audio extracted and saved to: {audio_path}")
return audio_path
except Exception as e:
logger.error(f"Failed to extract audio from video: {e}", exc_info=True)
raise RuntimeError(f"Failed to extract audio from video: {e}")
finally:
video_clip.close()