Add Docker build workflow and enhance admin functionalities

- Introduced a new GitHub Actions workflow for building and pushing the development Docker image.
- Added inline mode handling for user interactions, allowing users to share referral links and view statistics.
- Enhanced admin functionalities with new sections for user management, statistics, and promo code management.
- Implemented CSV export for logs and improved notification services for various events, including new user registrations and payment notifications.
- Updated localization files to support new features and commands.
This commit is contained in:
machka-pasla
2025-08-03 15:59:37 +03:00
parent 35d798a429
commit f0bbe90f80
23 changed files with 2270 additions and 549 deletions
+106
View File
@@ -1,6 +1,9 @@
import logging
import math
import re
import csv
import io
from datetime import datetime
from aiogram import Router, F, types, Bot
from aiogram.fsm.context import FSMContext
from typing import Optional, List, Dict, Any
@@ -321,3 +324,106 @@ async def cancel_log_user_input_state_to_menu(callback: types.CallbackQuery,
await state.clear()
await display_logs_menu(callback, i18n_data, settings, session)
@router.callback_query(F.data == "admin_logs:export_csv")
async def export_logs_csv_handler(callback: types.CallbackQuery,
settings: Settings, i18n_data: dict,
session: AsyncSession):
i18n: Optional[JsonI18n] = i18n_data.get("i18n_instance")
current_lang = i18n_data.get("current_language", settings.DEFAULT_LANGUAGE)
if not i18n or not callback.message:
await callback.answer("Error processing CSV export.", show_alert=True)
return
_ = lambda key, **kwargs: i18n.gettext(current_lang, key, **kwargs)
await callback.answer(_(
"admin_logs_csv_export_started",
default="🔄 Начинаю экспорт логов в CSV..."
))
try:
# Get all logs (limit to 10000 for performance)
logs_models = await message_log_dal.get_all_message_logs(
session, limit=10000, offset=0)
if not logs_models:
await callback.message.answer(_(
"admin_logs_csv_no_data",
default="❌ Нет данных для экспорта"
))
return
# Create CSV content
csv_buffer = io.StringIO()
csv_writer = csv.writer(csv_buffer, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
# Write header
headers = [
_("admin_csv_header_log_id", default="Log ID"),
_("admin_csv_header_timestamp", default="Timestamp"),
_("admin_csv_header_user_id", default="User ID"),
_("admin_csv_header_telegram_username", default="Telegram Username"),
_("admin_csv_header_telegram_first_name", default="Telegram First Name"),
_("admin_csv_header_event_type", default="Event Type"),
_("admin_csv_header_content", default="Content"),
_("admin_csv_header_is_admin_event", default="Is Admin Event"),
_("admin_csv_header_target_user_id", default="Target User ID"),
_("admin_csv_header_raw_update_preview", default="Raw Update Preview")
]
csv_writer.writerow(headers)
# Write data rows
for log in logs_models:
# Format timestamp
timestamp_str = log.timestamp.strftime('%Y-%m-%d %H:%M:%S UTC') if log.timestamp else ''
# Clean content and raw_update_preview (remove newlines and quotes for CSV)
content_clean = (log.content or '').replace('\n', ' ').replace('\r', ' ').strip()
raw_update_clean = (log.raw_update_preview or '').replace('\n', ' ').replace('\r', ' ').strip()
row = [
log.log_id or '',
timestamp_str,
log.user_id or '',
log.telegram_username or '',
log.telegram_first_name or '',
log.event_type or '',
content_clean,
'Yes' if log.is_admin_event else 'No',
log.target_user_id or '',
raw_update_clean
]
csv_writer.writerow(row)
# Create file
csv_content = csv_buffer.getvalue()
csv_buffer.close()
# Generate filename with current timestamp
now = datetime.now()
filename = f"message_logs_{now.strftime('%Y%m%d_%H%M%S')}.csv"
# Send as document
csv_file = types.BufferedInputFile(
csv_content.encode('utf-8-sig'), # BOM for Excel compatibility
filename=filename
)
await callback.message.answer_document(
csv_file,
caption=_(
"admin_logs_csv_export_success",
default="✅ Экспорт логов завершен!\n\n📊 Записей: {count}\n📅 Дата экспорта: {date}",
count=len(logs_models),
date=now.strftime('%Y-%m-%d %H:%M:%S')
)
)
except Exception as e:
logging.error(f"Error exporting logs to CSV: {e}", exc_info=True)
await callback.message.answer(_(
"admin_logs_csv_export_failed",
default="❌ Ошибка при экспорте логов: {error}",
error=str(e)
))