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The backend import package is now docsgpt, the name it will carry on PyPI; application was far too generic to install into anyone's site-packages. git mv plus a mechanical rewrite of every import, dotted string and path reference: 734 Python files, the compose files, Dockerfile, workflows, docs, setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage config, .gitignore. Behaviour is unchanged. Kept for one release: - A top-level application package whose meta-path finder resolves application.x.y to the already-imported docsgpt.x.y object, so old imports and entry points (celery -A application.app.celery, uvicorn application.asgi:asgi_app) keep working with a FutureWarning. - Celery registers every application.* task name as an alias of its docsgpt.* task on start-up, so messages queued by the previous release still run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries the previous release wrote are left unread instead of firing twice. The backend image builds from the repository root (docker build -f docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore allow-lists docsgpt/ and application/ and keeps caches, local data, .env files, the sample index files and the Dockerfile out. Compose and the image workflows point at the new context.
103 lines
3.6 KiB
Python
103 lines
3.6 KiB
Python
import logging
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import requests
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from docsgpt.agents.tools.base import Tool
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logger = logging.getLogger(__name__)
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class TelegramTool(Tool):
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"""
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Telegram Bot
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A flexible Telegram tool for performing various actions (e.g., sending messages, images).
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Requires a bot token and chat ID for configuration
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"""
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def __init__(self, config):
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self.config = config
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self.token = config.get("token", "")
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def execute_action(self, action_name, **kwargs):
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actions = {
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"telegram_send_message": self._send_message,
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"telegram_send_image": self._send_image,
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}
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if action_name not in actions:
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raise ValueError(f"Unknown action: {action_name}")
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return actions[action_name](**kwargs)
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def _send_message(self, text, chat_id):
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logger.debug("Sending Telegram message to chat_id=%s", chat_id)
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url = f"https://api.telegram.org/bot{self.token}/sendMessage"
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payload = {"chat_id": chat_id, "text": text}
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response = requests.post(url, data=payload, timeout=100)
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return {"status_code": response.status_code, "message": "Message sent"}
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def _send_image(self, image_url, chat_id):
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logger.debug("Sending Telegram image to chat_id=%s", chat_id)
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url = f"https://api.telegram.org/bot{self.token}/sendPhoto"
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payload = {"chat_id": chat_id, "photo": image_url}
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response = requests.post(url, data=payload, timeout=100)
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return {"status_code": response.status_code, "message": "Image sent"}
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def get_actions_metadata(self):
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return [
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{
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"name": "telegram_send_message",
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"description": (
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"Send a text message to the configured Telegram chat via "
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"the bot. Compose the final message text before sending."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"text": {
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"type": "string",
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"description": "Text to send in the notification",
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},
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"chat_id": {
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"type": "string",
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"description": "Chat ID to send the notification to",
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},
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},
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"required": ["text"],
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"additionalProperties": False,
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},
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},
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{
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"name": "telegram_send_image",
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"description": (
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"Send an image to the configured Telegram chat. Requires "
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"a publicly accessible image URL."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"image_url": {
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"type": "string",
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"description": "URL of the image to send",
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},
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"chat_id": {
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"type": "string",
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"description": "Chat ID to send the image to",
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},
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},
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"required": ["image_url"],
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"additionalProperties": False,
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},
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},
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]
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def get_config_requirements(self):
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return {
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"token": {
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"type": "string",
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"label": "Bot Token",
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"description": "Telegram bot token for authentication",
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"required": True,
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"secret": True,
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"order": 1,
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},
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}
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