tg-channel-analysis/bot/db/usage_repo.py
Sergei Poljanski c30b7e4675 Add multi-user features: i18n, payments, multi-model AI, focus areas
Replace single report type with composable analysis: depth levels
(basic/standard/full) + focus area multi-select (psychology, business,
marketing, content, audience, sentiment). Multi-step inline keyboard
flow guides users through selection.

- i18n: English + Russian, auto-detect from Telegram, /lang override
- AI providers: Anthropic + OpenRouter via AIClient abstraction
- Telegram Stars payments with per-depth pricing and free trial
- SQLite (aiosqlite) for users, analyses, payments tracking
- User middleware for auto-registration and language detection
- Report persistence: save .md locally, offer file download
- New commands: /features, /prices, /lang
- Composable prompt system: depth modifiers + focus area fragments
2026-02-23 01:18:12 +02:00

46 lines
1.3 KiB
Python

import json
from bot.db.engine import get_db
async def record_analysis(
telegram_id: int,
channel: str,
depth: str,
focus_areas: list[str],
model_id: str,
stars_paid: int = 0,
report_path: str | None = None,
) -> int:
db = await get_db()
cursor = await db.execute(
"INSERT INTO analyses (telegram_id, channel, depth, focus_areas, model_id, stars_paid, report_path) "
"VALUES (?, ?, ?, ?, ?, ?, ?)",
(telegram_id, channel, depth, json.dumps(focus_areas), model_id, stars_paid, report_path),
)
await db.commit()
return cursor.lastrowid
async def update_report_path(analysis_id: int, report_path: str) -> None:
db = await get_db()
await db.execute(
"UPDATE analyses SET report_path = ? WHERE id = ?", (report_path, analysis_id)
)
await db.commit()
async def record_payment(
telegram_id: int,
telegram_payment_id: str,
stars_amount: int,
analysis_id: int | None = None,
) -> int:
db = await get_db()
cursor = await db.execute(
"INSERT INTO payments (telegram_id, telegram_payment_id, stars_amount, analysis_id) "
"VALUES (?, ?, ?, ?)",
(telegram_id, telegram_payment_id, stars_amount, analysis_id),
)
await db.commit()
return cursor.lastrowid