Features: - Add unified "Dashboard Complet" sheet (Excel) with all 9 sections - Add unified "Dashboard Complet" page (PDF) with key metrics - Fix VALOARE_ANTERIOARA NULL bug (use sumar_executiv_yoy directly) - Add PerformanceLogger class for timing analysis - Remove redundant consolidated sheets (keep only Dashboard Complet) Bug fixes: - Fix Excel formula error (=== interpreted as formula, changed to >>>) - Fix args.output → args.output_dir in perf.summary() Performance analysis: - Add PERFORMANCE_ANALYSIS.md with detailed breakdown - SQL queries take 94% of runtime (31 min), Excel/PDF only 1% - Identified slow queries for optimization Documentation: - Update CLAUDE.md with new structure - Add context handover for query optimization task 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
111 lines
4.1 KiB
Markdown
111 lines
4.1 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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Data Intelligence Report Generator for ERP ROA (Oracle Database). Generates Excel and PDF business intelligence reports with sales analytics, margin analysis, stock tracking, financial indicators, and alerts.
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## Commands
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```bash
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# Virtual Environment setup
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python -m venv .venv
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source .venv/bin/activate # Linux/WSL
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pip install -r requirements.txt
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# Run report (default: last 12 months)
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python main.py
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# Custom period
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python main.py --months 6
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# Docker alternative
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docker-compose run --rm report-generator
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```
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## Oracle Connection
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| Environment | ORACLE_HOST value |
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|-------------|-------------------|
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| Windows native | `127.0.0.1` |
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| WSL | Windows IP (`cat /etc/resolv.conf \| grep nameserver`) |
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| Docker | `host.docker.internal` |
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## Architecture
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```
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main.py # Entry point, orchestrates everything
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├── config.py # .env loader, thresholds (RECOMMENDATION_THRESHOLDS)
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├── queries.py # SQL queries in QUERIES dict with metadata
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├── recommendations.py # RecommendationsEngine - auto-generates alerts
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└── report_generator.py # Excel/PDF generators
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```
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**Data flow**:
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1. `main.py` executes queries via `OracleConnection` context manager
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2. Results stored in `results` dict (query_name → DataFrame)
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3. Consolidation logic merges related DataFrames (e.g., KPIs + YoY)
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4. `ExcelReportGenerator` creates consolidated sheets + detail sheets
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5. `PDFReportGenerator` creates consolidated pages + charts
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**Report structure** (after consolidation):
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- **Excel**: 4 consolidated sheets (Vedere Ansamblu, Indicatori Venituri, Clienti si Risc, Tablou Financiar) + detail sheets
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- **PDF**: Consolidated pages with multiple sections + charts + detail tables
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## Key Code Locations
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| What | Where |
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|------|-------|
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| SQL queries | `queries.py` - constants like `SUMAR_EXECUTIV`, `CONCENTRARE_RISC_YOY` |
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| Query registry | `queries.py:QUERIES` dict |
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| Sheet order | `main.py:sheet_order` list (~line 242) |
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| Consolidated sheets | `main.py` after "GENERARE SHEET-URI CONSOLIDATE" (~line 567) |
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| Legends | `main.py:legends` dict (~line 303) |
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| Alert thresholds | `config.py:RECOMMENDATION_THRESHOLDS` |
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| Consolidated sheet method | `report_generator.py:ExcelReportGenerator.add_consolidated_sheet()` |
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| Consolidated page method | `report_generator.py:PDFReportGenerator.add_consolidated_page()` |
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## Adding New Reports
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1. Add SQL constant in `queries.py` (e.g., `NEW_QUERY = """SELECT..."""`)
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2. Add to `QUERIES` dict: `'new_query': {'sql': NEW_QUERY, 'params': {'months': 12}, 'title': '...', 'description': '...'}`
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3. Add `'new_query'` to `sheet_order` in `main.py`
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4. Add legend in `legends` dict if needed
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5. For PDF: add rendering in PDF section of `generate_reports()`
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## Adding Consolidated Views
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To add data to consolidated sheets, modify the `sections` list in `add_consolidated_sheet()` calls:
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```python
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excel_gen.add_consolidated_sheet(
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name='Sheet Name',
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sections=[
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{'title': 'Section', 'df': results.get('query_name'), 'legend': legends.get('query_name')}
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]
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)
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```
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## Oracle Schema Conventions
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- `sters = 0` excludes deleted records
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- `tip NOT IN (7, 8, 9, 24)` excludes returns/credit notes
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- Account `341`, `345` = own production; `301` = raw materials
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- Required views: `fact_vfacturi2`, `fact_vfacturi_detalii`, `vnom_articole`, `vnom_parteneri`, `vstoc`, `vrul`
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## YoY Query Pattern
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When creating Year-over-Year comparison queries:
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1. Use CTEs for current period (`ADD_MONTHS(TRUNC(SYSDATE), -12)` to `SYSDATE`)
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2. Use CTEs for previous period (`ADD_MONTHS(TRUNC(SYSDATE), -24)` to `ADD_MONTHS(TRUNC(SYSDATE), -12)`)
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3. Handle empty previous data with `NVL()` fallback to 0
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4. Add `TREND` column with values like `'CRESTERE'`, `'SCADERE'`, `'STABIL'`, `'FARA DATE YOY'`
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## Conditional Formatting Colors
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| Status | Excel Fill | Meaning |
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|--------|------------|---------|
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| OK/Good | `#4ECDC4` (teal) | CRESTERE, IMBUNATATIRE, DIVERSIFICARE |
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| Warning | `#FFE66D` (yellow) | ATENTIE |
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| Alert | `#FF6B6B` (red) | ALERTA, SCADERE, DETERIORARE, CONCENTRARE |
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