607ea54b5c
Backend services: - targo-hub: extract deepGetValue to helpers.js, DRY disconnect reasons lookup map, compact CAPABILITIES, consolidate vision.js prompts/schemas, extract dispatch scoring weights, trim section dividers across 9 files - modem-bridge: extract getSession() helper (6 occurrences), resetIdleTimer(), consolidate DM query factory, fix duplicate username fill bug, trim headers (server.js -36%, tplink-session.js -47%, docker-compose.yml -57%) Frontend: - useWifiDiagnostic: extract THRESHOLDS const, split processDiagnostic into 6 focused helpers (processOnlineStatus, processWanIPs, processRadios, processMeshNodes, processClients, checkRadioIssues) - EquipmentDetail: merge duplicate ROLE_LABELS, remove verbose comments Documentation (17 → 13 files, -1,400 lines): - New consolidated README.md (architecture, services, dependencies, auth) - Merge ECOSYSTEM-OVERVIEW into ARCHITECTURE.md - Merge MIGRATION-PLAN + ARCHITECTURE-COMPARE + FIELD-GAP + CHANGELOG → MIGRATION.md - Merge COMPETITIVE-ANALYSIS into PLATFORM-STRATEGY.md - Update ROADMAP.md with current phase status - Delete CONTEXT.md (absorbed into README) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
#!/usr/bin/env python3
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"""Fix Issue.customer via legacy ticket.account_id → Customer.legacy_account_id."""
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import pymysql
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import psycopg2
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LEGACY = {"host": "legacy-db", "user": "facturation", "password": "VD67owoj",
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"database": "gestionclient", "connect_timeout": 30, "read_timeout": 300}
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PG = {"host": "db", "port": 5432, "user": "postgres", "password": "123",
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"dbname": "_eb65bdc0c4b1b2d6"}
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def log(msg):
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print(msg, flush=True)
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def main():
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log("=== Fix Issue → Customer via legacy_account_id ===")
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# Get ticket → account_id mapping
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mc = pymysql.connect(**LEGACY)
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cur = mc.cursor(pymysql.cursors.DictCursor)
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cur.execute("SELECT id, account_id FROM ticket WHERE account_id > 0")
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ticket_acct = {r["id"]: r["account_id"] for r in cur.fetchall()}
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mc.close()
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log(" {} tickets with account_id".format(len(ticket_acct)))
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pg = psycopg2.connect(**PG)
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pgc = pg.cursor()
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# Customer lookup
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pgc.execute('SELECT legacy_account_id, name, customer_name FROM "tabCustomer" WHERE legacy_account_id > 0')
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cust_map = {r[0]: (r[1], r[2]) for r in pgc.fetchall()}
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# Issues needing fix
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pgc.execute("""SELECT name, legacy_ticket_id FROM "tabIssue"
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WHERE legacy_ticket_id > 0
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AND (customer IS NULL OR customer = '' OR customer NOT LIKE 'CUST-%')""")
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issues = pgc.fetchall()
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log(" {} issues to fix".format(len(issues)))
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updated = 0
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for i, (issue_name, legacy_tid) in enumerate(issues):
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acct_id = ticket_acct.get(legacy_tid)
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if not acct_id:
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continue
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cust_data = cust_map.get(acct_id)
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if not cust_data:
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continue
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cust_name, cust_display = cust_data
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pgc.execute('UPDATE "tabIssue" SET customer = %s, customer_name = %s WHERE name = %s',
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(cust_name, cust_display, issue_name))
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updated += 1
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if updated % 5000 == 0:
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pg.commit()
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log(" updated={}".format(updated))
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pg.commit()
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pg.close()
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log("\nIssues linked to Customer: {}".format(updated))
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if __name__ == "__main__":
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main()
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