Mike Swanson
fa15b03180
Synced files: - Quote wizard frontend (all components, hooks, types, config) - API updates (config, models, routers, schemas, services) - Client work (bg-builders, gurushow) - Scripts (BGB Lesley termination, CIPP, Datto, migration) - Temp files (Bardach contacts, VWP investigation, misc) - Credentials and session logs - Email service, PHP API, session logs Machine: ACG-M-L5090 Timestamp: 2026-03-10 19:11:00 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
117 lines
3.7 KiB
Python
117 lines
3.7 KiB
Python
#!/usr/bin/env python3
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"""Step 4: Delete duplicate contacts."""
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import json
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import subprocess
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import sys
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import time
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TENANT_ID = "dd4a82e8-85a3-44ac-8800-07945ab4d95f"
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CLIENT_ID = "fabb3421-8b34-484b-bc17-e46de9703418"
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CLIENT_SECRET = "~QJ8Q~NyQSs4OcGqHZyPrA2CVnq9KBfKiimntbMO"
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SCOPE = "https://graph.microsoft.com/.default"
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USER = "barbara@bardach.net"
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PLAN_FILE = "D:/ClaudeTools/temp/bardach_dedup_plan.json"
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RESULTS_FILE = "D:/ClaudeTools/temp/bardach_dedup_delete_results.json"
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def get_token():
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url = f"https://login.microsoftonline.com/{TENANT_ID}/oauth2/v2.0/token"
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result = subprocess.run(
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["curl", "-s", "-X", "POST", url,
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"-H", "Content-Type: application/x-www-form-urlencoded",
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"-d", f"client_id={CLIENT_ID}&scope={SCOPE}&client_secret={CLIENT_SECRET}&grant_type=client_credentials"],
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capture_output=True, text=True
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)
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data = json.loads(result.stdout)
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if "access_token" not in data:
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print(f"[ERROR] Failed to get token: {data}")
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sys.exit(1)
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return data["access_token"]
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def delete_contact(token, contact_id):
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url = f"https://graph.microsoft.com/v1.0/users/{USER}/contacts/{contact_id}"
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result = subprocess.run(
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["curl", "-s", "-X", "DELETE", url,
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"-H", f"Authorization: Bearer {token}",
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"-w", "%{http_code}"],
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capture_output=True, text=True
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)
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# DELETE returns 204 No Content on success
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status_code = int(result.stdout.strip()[-3:]) if result.stdout.strip() else 0
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return status_code
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def main():
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print("=" * 60)
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print("STEP 4: Delete duplicate contacts")
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print("=" * 60)
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with open(PLAN_FILE, "r", encoding="utf-8") as f:
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plan_data = json.load(f)
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# Collect all delete IDs
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all_deletes = []
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for entry in plan_data["plan"]:
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for did in entry["delete_ids"]:
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all_deletes.append({"id": did, "display_name": entry["display_name"]})
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print(f"[INFO] Total contacts to delete: {len(all_deletes)}")
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token = get_token()
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print("[OK] Token acquired")
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successes = 0
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failures = []
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start_time = time.time()
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for i, item in enumerate(all_deletes):
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status_code = delete_contact(token, item["id"])
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if status_code == 204 or status_code == 200:
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successes += 1
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else:
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failures.append({"display_name": item["display_name"], "id": item["id"], "status": status_code})
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# Progress every 100
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if (i + 1) % 100 == 0:
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elapsed = time.time() - start_time
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rate = (i + 1) / elapsed
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remaining = (len(all_deletes) - i - 1) / rate if rate > 0 else 0
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print(f" Progress: {i + 1}/{len(all_deletes)} | Success: {successes} | Fail: {len(failures)} | {rate:.1f}/sec | ETA: {remaining:.0f}s")
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# Re-acquire token every 500 operations
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if (i + 1) % 500 == 0:
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print(" Re-acquiring token...")
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token = get_token()
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# Throttle: small pause every 50 to avoid 429
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if (i + 1) % 50 == 0:
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time.sleep(0.5)
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elapsed = time.time() - start_time
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results = {
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"total_attempted": len(all_deletes),
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"successes": successes,
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"failures": len(failures),
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"elapsed_seconds": round(elapsed, 1),
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"failure_details": failures
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}
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with open(RESULTS_FILE, "w", encoding="utf-8") as f:
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json.dump(results, f, indent=2, ensure_ascii=False)
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print(f"\n{'=' * 60}")
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print(f"DELETE RESULTS")
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print(f"{'=' * 60}")
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print(f" Total attempted: {len(all_deletes)}")
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print(f" Successes: {successes}")
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print(f" Failures: {len(failures)}")
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print(f" Elapsed: {elapsed:.0f}s ({elapsed/60:.1f}m)")
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print(f"[OK] Results saved to {RESULTS_FILE}")
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if __name__ == "__main__":
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main()
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