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A lightweight broadcasting toolkit built around the Telegram Bot API. It delivers templated messages, offers a CLI with dry-run support, and ships with a modern Vue dashboard for batch operations. The stack combines Python, FastAPI, Vue, and SQLite, providing template versioning, delivery tracking, and a clear roadmap for Stage 2 automation
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A lightweight broadcasting system built on the Telegram Bot API. It targets small-scale operations (≤5 chats) and currently delivers manual broadcasts with template management and a modern Vue-based dashboard. Stage 2 work (message queue + scheduler) is outlined but not yet implemented.
was_sent, sent_at).--dry-run previews and rate-limit hooks.app/ # Bot runtime, config, database models, services
examples/ # Helper scripts (e.g., insert sample templates)
visualize/ # FastAPI API + Vue frontend
run_backend.py # Launch FastAPI backend and auto-open dashboard
解读.md # Chinese project summary (personal notes)
pip install poetry # or follow Poetry official guide
poetry install --no-root
cp .env.example .env
# edit .env with real BOT_TOKEN / DATABASE_URL / TIMEZONE
poetry run python examples/write_pending_message.py
poetry run python -m app.bot.main broadcast \
--template welcome \
--chat-id <target_chat_id> \
--dry-run
Remove --dry-run after confirming the preview. chat_id can be obtained via https://api.telegram.org/bot<token>/getUpdates.
poetry run python run_backend.py --reload
http://127.0.0.1:8000http://127.0.0.1:8000/ui/Selected from shared topics, language and repository description—not editorial ratings.
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61/100 healthIf your SQLite file was created prior to was_sent/sent_at fields, run:
poetry run python data/append_column.py
or delete data/app.db to let SQLModel recreate the schema.
poetry run pytest
Covers template CRUD, bulk updates, and broadcasting logic.
pending_messages and deliveries for queued content and delivery historySchedulerService powered by APScheduler / PTB JobQueue for periodic sendspoetry run python -m app.db.session # create SQLite schema
poetry run python -m app.bot.main --help # CLI reference
poetry run python run_backend.py --help # backend launch options
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