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| import sys, io | |
| sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8') | |
| sys.path.insert(0, '.') | |
| from pipeline.resolver import resolve | |
| from pipeline.fetcher import fetch_all | |
| from pipeline.calculator import calculate | |
| meta = resolve('TCS', log_fn=lambda m: print(m)) | |
| data = fetch_all(meta, years=5, force_refresh=True, log_fn=lambda m: print(m)) | |
| data = calculate(data, meta.to_dict()) | |
| print() | |
| print("=== SCALED DATA ===") | |
| inc = data['income_statement'] | |
| yr = data['years'] | |
| units_label = data.get('units_label', data.get('units', '?')) | |
| print("Units label:", units_label) | |
| print() | |
| for y, r, n, e in zip(yr, inc['revenue'], inc['net_income'], inc['ebitda']): | |
| r_s = f"{r:,.0f} Cr" if r else "N/A" | |
| n_s = f"{n:,.0f} Cr" if n else "N/A" | |
| e_s = f"{e:,.0f} Cr" if e else "N/A" | |
| print(f" {y} | Rev: {r_s:>15} | NetInc: {n_s:>12} | EBITDA: {e_s:>12}") | |
| print() | |
| rat = data['ratios'] | |
| print("Ratios (latest year):") | |
| print(f" Operating Margin: {(rat['operating_margin'][-1] or 0)*100:.1f}%") | |
| print(f" Net Margin: {(rat['net_margin'][-1] or 0)*100:.1f}%") | |
| print(f" ROE: {(rat['roe'][-1] or 0)*100:.1f}%") | |
| print(f" Current Ratio: {rat['current_ratio'][-1]}") | |
| print() | |
| print("Data looks correct - ready for reports!") | |