Implements cache tier identification in Telegram bot to display data source:
- "db" for database queries
- "cached L1" for in-memory cache hits
- "cached L2" for SQLite cache hits
Backend changes:
- Added cache metadata fields to TrendsResponse and DashboardSummary models
(cache_hit, response_time_ms, cache_source)
- Updated /api/dashboard/summary and /api/dashboard/trends endpoints to
include cache metadata when X-Include-Cache-Metadata header is present
- Cache metadata is extracted from request.state (set by @cached decorator)
Telegram bot changes:
- Updated API client to send X-Include-Cache-Metadata header
- Modified helpers to extract cache_source from backend responses
- Updated handlers to pass cache metadata to formatters
- Performance footer now displays specific cache tier (L1 vs L2)
Fixed Pydantic serialization issue:
- Changed field names from _cache_hit to cache_hit (without underscore)
- Pydantic excludes underscore-prefixed fields from JSON by default
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
- Add YTD year-over-year comparison table for cash flow evolution
- Extend monthly evolution from 6 to 12 months with dynamic year extraction
- Simplify monthly view to show only Net values aligned with YTD table
- Upgrade client/supplier display from Top 5 to Top 10 with alphabetical sorting
- Remove Refresh and Export buttons from dashboard and evolution views
- Add get_trends() API method for 12-month historical data from backend
- Fix default years to 2025/2024 for accurate YTD calculations
Changes:
- client.py: New get_trends() method calls /api/dashboard/trends endpoint
- helpers.py: Rewrite get_cashflow_evolution_data() to use trends and calculate YTD
- formatters.py: Complete redesign with YTD table and simplified 12-month Net view
- menus.py: Alphabetical sorting for clients/suppliers, removed refresh buttons
- handlers.py: Disabled refresh/export buttons on dashboard and evolution views
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Change hardcoded default backend URL from development port (8001) to
production port (8000) in Telegram bot API client.
This fixes the issue where Telegram bot would try to connect to wrong port
when BACKEND_URL environment variable is not properly loaded from .env file,
causing "Cannot connect to backend" errors during account linking.
Root cause: When .env file is not loaded correctly by Windows Service,
the code falls back to the hardcoded default value which was incorrectly
set to the development port 8001 instead of production port 8000.
Changes:
- reports-app/telegram-bot/app/api/client.py: Change default from 8001 to 8000
- Add comment explaining this is for production deployment
This ensures the bot connects to the correct backend port even if .env
configuration has issues during service startup on Windows Server.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fix AttributeError crash when backend is unreachable during account linking.
Previously, when telegram bot couldn't connect to backend, the error handler
tried to access e.response.status_code on a ConnectError exception which
doesn't have a response attribute.
Changes to reports-app/telegram-bot/app/api/client.py:
- Import ConnectError from httpx
- Add separate exception handler for ConnectError before HTTPError handler
- Log clear error message indicating backend connectivity issue
- Return None gracefully instead of crashing with AttributeError
Changes to deployment/windows/docs/TELEGRAM_BOT_TROUBLESHOOTING.md:
- Add new section "Problem: Cannot connect to backend / Connection Errors"
- Add diagnostic steps for backend service verification
- Add checklist for BACKEND_URL configuration (http://localhost:8000)
- Add Issue 5: Backend Service Not Running
- Add Issue 6: Wrong Backend URL in Telegram Bot
- Include PowerShell commands for Windows Server troubleshooting
This fix ensures the Telegram bot provides clear error messages when backend
is unavailable instead of crashing, making debugging easier for production
deployments.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
