Initial deployment setup

2026-08-31 16:45:24 +09:00
commit 33453ecc55
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+#!/usr/bin/env python3
+"""Apply exact email/alias matches from a BARON-SSO export to the template."""
+
+from __future__ import annotations
+
+import argparse
+import csv
+import re
+from collections import defaultdict
+from pathlib import Path
+
+
+EMAIL_RE = re.compile(r"[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}", re.IGNORECASE)
+MATCH_COLUMNS = (
+    "Email",
+    "Meta:secondary_emails",
+    "Meta:aliasEmails",
+    "Meta:worksmobileAliasEmails",
+    "Meta:sub_email",
+    "Meta:external_sub_email",
+    "Meta:source_login_id",
+)
+
+
+def emails(value: str | None) -> set[str]:
+    return {match.lower() for match in EMAIL_RE.findall(value or "")}
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--users", type=Path, default=Path("users_export_20260805.csv"))
+    parser.add_argument(
+        "--template",
+        type=Path,
+        default=Path("scripts/generated/egbim_migration/identity_mapping_template.csv"),
+    )
+    parser.add_argument("--output", type=Path)
+    args = parser.parse_args()
+    output = args.output or args.template
+
+    with args.users.open(encoding="utf-8-sig", newline="") as stream:
+        users = list(csv.DictReader(stream))
+    with args.template.open(encoding="utf-8", newline="") as stream:
+        template = list(csv.DictReader(stream))
+
+    index: dict[str, list[tuple[dict[str, str], str]]] = defaultdict(list)
+    for user in users:
+        for column in MATCH_COLUMNS:
+            for identifier in emails(user.get(column)):
+                index[identifier].append((user, column))
+
+    resolved = 0
+    ambiguous = 0
+    unmatched = 0
+    for row in template:
+        identifier = row["legacy_identifier"].strip().lower()
+        candidates = index.get(identifier, [])
+        users_by_id = {user["user_id"]: (user, column) for user, column in candidates}
+        if len(users_by_id) != 1:
+            row["resolution_status"] = "AMBIGUOUS" if len(users_by_id) > 1 else "UNRESOLVED"
+            row["notes"] = (
+                "BARON-SSO export에서 동일 alias가 여러 사용자와 일치함"
+                if len(users_by_id) > 1
+                else "정확한 이메일/보조 이메일 일치 없음; 이름만으로 자동 매핑하지 않음"
+            )
+            if len(users_by_id) > 1:
+                ambiguous += 1
+            else:
+                unmatched += 1
+            continue
+
+        user, matched_column = next(iter(users_by_id.values()))
+        row["sso_subject"] = user.get("user_id", "")
+        row["tenant_id"] = user.get("tenant_id", "")
+        row["email"] = user.get("Email", "")
+        row["name"] = user.get("Name", "")
+        row["department"] = user.get("Meta:department") or user.get("JobTitle") or user.get("Position") or ""
+        row["phone"] = user.get("Phone", "")
+        row["resolution_status"] = "RESOLVED"
+        row["notes"] = f"exact match: {matched_column}"
+        resolved += 1
+
+    with output.open("w", encoding="utf-8", newline="") as stream:
+        writer = csv.DictWriter(stream, fieldnames=template[0].keys())
+        writer.writeheader()
+        writer.writerows(template)
+
+    print(f"template_rows={len(template)} resolved={resolved} ambiguous={ambiguous} unmatched={unmatched}")
+    print(f"output={output}")
+
+
+if __name__ == "__main__":
+    main()