"""Shared setup for the 03_Simulated layer.

Every output row/column carries a basis label:
  Actual     - straight from 02_Cleaned (client data)
  Corrected  - client data with a deterministic correction (from 02_Cleaned)
  Inferred   - derived from client data by a stated rule/model (no outside numbers)
  Researched - a published fact or figure (cited in sources.csv)
  Simulated  - computed from Researched/assumed parameters (low / base / high)
"""
import os, sys
_here = os.path.dirname(os.path.abspath(__file__))
_root = os.path.normpath(os.path.join(_here, '..', '..'))  # Binzagr_Data/ (these scripts live in 03_Simulated/scripts)
sys.path.insert(0, _here)                                   # common.py is shipped next to these scripts
os.environ.setdefault('BZ_OUT', os.path.join(_root, '03_Simulated'))
import common  # noqa: E402  (re-uses write_table/save_stats with OUT=03_Simulated)
from common import write_table, save_stats, load_stats, OUT, DATA, CSV, AUDIT  # noqa: E402,F401

CLEAN = os.environ.get('BZ_CLEAN', os.path.join(_root, '02_Cleaned', 'data'))   # input: the cleaned layer
SNAPSHOT_DATE = '2026-10-20'      # extraction date of the client files (customer master SYNCVERSION)
FX_USD_SAR = 3.75                 # SAR is pegged to USD at 3.75