Cache System (Backend): - Implemented two-tier hybrid cache: L1 (in-memory) + L2 (SQLite) - L1 cache: Fast dictionary-based with 5-minute TTL for hot data - L2 cache: Persistent SQLite with 1-hour TTL for warm data - Cache decorator with automatic tier management and fallback - Cache key generation with per-user isolation - Event monitoring system for cache statistics - Cache benchmarking utilities for performance testing - Added cache management endpoints: /api/cache/stats, /api/cache/clear, /api/cache/benchmark - Cache configuration via environment variables (CACHE_ENABLED, CACHE_L1_TTL, etc.) Backend Services: - Updated dashboard_service to use @cached decorator with request context - Added cache support to invoice_service and treasury_service - Integrated cache manager into main.py with lifespan events - Added Request parameter to service methods for cache metadata Frontend Enhancements: - New CacheStatsView.vue for real-time cache monitoring dashboard - Cache store (cacheStore.js) for state management - Updated router to include /cache-stats route - Navigation updates in DashboardHeader and HamburgerMenu - Cache stats accessible from main navigation Telegram Bot Improvements: - Enhanced formatters with YTD comparison data - Improved menu navigation and button layout - Better error handling and user feedback - Bot startup improvements with graceful shutdown Auth & Middleware: - Enhanced middleware with cache metadata injection - Improved request state handling for cache source tracking Development: - Updated start-dev.sh with better error handling - Added TELEGRAM_EMAIL_AUTH_PLAN.md documentation - Updated requirements.txt with aiosqlite for async SQLite Performance: - L1 cache provides <1ms response for hot data - L2 cache provides ~5ms response for warm data - Database queries only for cold data or cache misses - Cache hit rates tracked and displayed in real-time 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
175 lines
7.2 KiB
Python
175 lines
7.2 KiB
Python
import sys
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import os
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sys.path.append(os.path.join(os.path.dirname(__file__), '../../../../shared'))
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from database.oracle_pool import oracle_pool
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from ..models.treasury import BankCashRegister, RegisterFilter, RegisterListResponse
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from ..cache.decorators import cached
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from decimal import Decimal
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import logging
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logger = logging.getLogger(__name__)
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class TreasuryService:
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"""Service pentru trezorerie - registru casă și bancă"""
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@staticmethod
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@cached(cache_type='schema', key_params=['company_id'])
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async def _get_schema(company_id: int) -> str:
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"""Obține schema pentru company_id (CACHED PERMANENT)"""
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async with oracle_pool.get_connection() as connection:
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with connection.cursor() as cursor:
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schema_query = """
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SELECT schema
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FROM CONTAFIN_ORACLE.v_nom_firme
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WHERE id_firma = :company_id
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"""
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cursor.execute(schema_query, {'company_id': company_id})
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schema_result = cursor.fetchone()
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if not schema_result:
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raise ValueError(f"Schema not found for company {company_id}")
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return schema_result[0]
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@staticmethod
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@cached(cache_type='treasury', key_params=['filter_params', 'username'])
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async def get_bank_cash_register(filter_params: RegisterFilter, username: str) -> RegisterListResponse:
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"""
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Obține registrul de casă și bancă din vbancasa views (CACHED 10 min)
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"""
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company_id = int(filter_params.company)
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schema = await TreasuryService._get_schema(company_id)
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async with oracle_pool.get_connection() as connection:
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with connection.cursor() as cursor:
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# Query pentru registrele de bancă și casă
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union_queries = []
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# BANCA LEI (5121)
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union_queries.append(f"""
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SELECT
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vb.nume, vb.nract, vb.dataact, vb.bancasa,
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vb.incasari, vb.plati,
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vb.incasari - vb.plati as sold,
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'RON' as valuta,
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'BANCA LEI' as tip_registru,
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vb.explicatia
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FROM {schema}.vbancasa_5121_cum vb
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WHERE (vb.incasari > 0 OR vb.plati > 0)
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""")
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# BANCA VALUTA (5124)
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union_queries.append(f"""
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SELECT
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vb.nume, vb.nract, vb.dataact, vb.bancasa,
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vb.incasval, vb.platival,
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vb.incasval - vb.platival as sold,
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COALESCE(vb.numeval, 'EUR') as valuta,
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'BANCA VALUTA' as tip_registru,
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vb.explicatia
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FROM {schema}.vbancasa_5124_cum vb
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WHERE (vb.incasval > 0 OR vb.platival > 0)
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""")
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# CASA LEI (5311)
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union_queries.append(f"""
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SELECT
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vb.nume, vb.nract, vb.dataact, vb.bancasa,
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vb.incasari, vb.plati,
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vb.incasari - vb.plati as sold,
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'RON' as valuta,
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'CASA LEI' as tip_registru,
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vb.explicatia
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FROM {schema}.vbancasa_5311_cum vb
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WHERE (vb.incasari > 0 OR vb.plati > 0)
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""")
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# CASA VALUTA (5314)
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union_queries.append(f"""
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SELECT
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vb.nume, vb.nract, vb.dataact, vb.bancasa,
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vb.incasval, vb.platival,
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vb.incasval - vb.platival as sold,
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COALESCE(vb.numeval, 'EUR') as valuta,
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'CASA VALUTA' as tip_registru,
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vb.explicatia
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FROM {schema}.vbancasa_5314_cum vb
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WHERE (vb.incasval > 0 OR vb.platival > 0)
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""")
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base_query = " UNION ALL ".join(union_queries)
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params = {}
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where_conditions = []
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if filter_params.date_from:
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where_conditions.append("dataact >= :date_from")
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params['date_from'] = filter_params.date_from
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if filter_params.date_to:
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where_conditions.append("dataact <= :date_to")
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params['date_to'] = filter_params.date_to
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if filter_params.partner_name:
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where_conditions.append("UPPER(nume) LIKE UPPER(:partner_name)")
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params['partner_name'] = f"%{filter_params.partner_name}%"
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if where_conditions:
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base_query = f"SELECT * FROM ({base_query}) WHERE {' AND '.join(where_conditions)}"
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# Count pentru paginare
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count_query = f"SELECT COUNT(*) FROM ({base_query})"
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cursor.execute(count_query, params)
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total_count = cursor.fetchone()[0]
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# Query cu paginare
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base_query += " ORDER BY dataact DESC, nract"
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offset = (filter_params.page - 1) * filter_params.page_size
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limit = offset + filter_params.page_size
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paginated_query = f"""
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SELECT * FROM (
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SELECT ROWNUM as rn, t.* FROM ({base_query}) t WHERE ROWNUM <= :limit
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) WHERE rn > :offset
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"""
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params['offset'] = offset
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params['limit'] = limit
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cursor.execute(paginated_query, params)
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rows = cursor.fetchall()
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# Procesare rezultate
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registers = []
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total_incasari = Decimal('0.00')
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total_plati = Decimal('0.00')
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for row in rows:
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# Skip ROWNUM
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register_data = BankCashRegister(
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nume=row[1] or '',
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nract=row[2] or 0,
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dataact=row[3],
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nume_cont_bancar=row[4] or '',
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incasari=Decimal(str(row[5] or 0)),
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plati=Decimal(str(row[6] or 0)),
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sold=Decimal(str(row[7] or 0)),
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valuta=row[8],
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tip_registru=row[9],
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explicatia=row[10] or ''
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)
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registers.append(register_data)
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total_incasari += register_data.incasari
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total_plati += register_data.plati
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return RegisterListResponse(
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registers=registers,
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total_count=total_count,
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filtered_count=len(registers),
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total_incasari=total_incasari,
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total_plati=total_plati,
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page=filter_params.page,
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page_size=filter_params.page_size,
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has_more=len(registers) == filter_params.page_size
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) |