"""
Adit export column mapping for Rock Cosmetics (#1784).

Fill in source-header keys (commented placeholders) once the Adit CSV export
lands via Sir Alex Therrien (info@lionsalesfunnels.com on app.adit.com).
Export preference: CSV > xls/xlsx > PDF (last resort).
Contact: Judy Tran / advperio28@gmail.com (signs as Judy Smith).

Target field names are standardised to match the APID Attribution Dashboard schema.
"""

from __future__ import annotations

# ── Adit export → internal field mapping ─────────────────────────────────────
# Keys = exact column header strings from the Adit CSV/XLSX export.
# Values = internal field names used throughout this pipeline.
# Fill once the export sample is available.
COLUMN_MAP: dict[str, str] = {
    # --- Patient identity (required for GHL name + DOB matching) ---
    # "<Adit header>": "first_name",
    # "<Adit header>": "last_name",
    # "<Adit header>": "dob",           # format TBD — MM/DD/YYYY likely

    # --- Appointment / lead data ---
    # "<Adit header>": "appointment_date",
    # "<Adit header>": "appointment_status",   # scheduled / completed / cancelled
    # "<Adit header>": "procedure_type",
    # "<Adit header>": "lead_source",          # referral channel from Adit

    # --- Campaign / attribution ---
    # "<Adit header>": "campaign",
    # "<Adit header>": "report_date",

    # --- Performance metrics (include if present in Adit export) ---
    # "<Adit header>": "impressions",
    # "<Adit header>": "clicks",
    # "<Adit header>": "cost_usd",
    # "<Adit header>": "conversions",
    # "<Adit header>": "ctr",
    # "<Adit header>": "avg_cpc_usd",
}

# ── Field type sets used by ingest.py coercion ────────────────────────────────
DATE_FIELDS: frozenset[str] = frozenset({"dob", "report_date", "appointment_date"})
INT_FIELDS: frozenset[str] = frozenset({"impressions", "clicks", "conversions"})
DECIMAL_FIELDS: frozenset[str] = frozenset({"cost_usd", "avg_cpc_usd", "ctr"})