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>
87 lines
2.8 KiB
Python
87 lines
2.8 KiB
Python
#!/usr/bin/env python3
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"""Update assigned_staff on Issues from legacy ticket.assign_to → staff name."""
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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": 600}
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PG = {"host": "db", "port": 5432, "user": "postgres", "password": "123",
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"dbname": "_eb65bdc0c4b1b2d6"}
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def main():
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# 1. Get staff mapping from legacy
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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, first_name, last_name FROM staff ORDER BY id")
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staff_map = {}
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for s in cur.fetchall():
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name = ((s["first_name"] or "") + " " + (s["last_name"] or "")).strip()
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if name:
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staff_map[s["id"]] = name
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# Get all tickets with assign_to
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cur.execute("SELECT id, assign_to FROM ticket WHERE assign_to > 0")
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assignments = cur.fetchall()
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mc.close()
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print(f"{len(assignments)} assignments, {len(staff_map)} staff names")
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# 2. Connect ERPNext
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pg = psycopg2.connect(**PG)
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pgc = pg.cursor()
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# Add column if not exists
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pgc.execute("SELECT column_name FROM information_schema.columns WHERE table_name = 'tabIssue' AND column_name = 'assigned_staff'")
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if not pgc.fetchone():
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pgc.execute('ALTER TABLE "tabIssue" ADD COLUMN assigned_staff varchar(140)')
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pg.commit()
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print("Column assigned_staff added")
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else:
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print("Column assigned_staff already exists")
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# Build mapping: legacy_ticket_id -> staff_name
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batch = {}
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for a in assignments:
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name = staff_map.get(a["assign_to"])
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if name:
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batch[a["id"]] = name
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print(f"{len(batch)} tickets to update")
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# Batch update using temp table for speed
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pgc.execute("""
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CREATE TEMP TABLE _staff_assign (
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legacy_ticket_id integer PRIMARY KEY,
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staff_name varchar(140)
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)
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""")
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# Insert in chunks
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items = list(batch.items())
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for i in range(0, len(items), 10000):
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chunk = items[i:i+10000]
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args = ",".join(pgc.mogrify("(%s,%s)", (tid, name)).decode() for tid, name in chunk)
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pgc.execute("INSERT INTO _staff_assign VALUES " + args)
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print(f" loaded chunk {i//10000+1}")
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pg.commit()
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# Single UPDATE join
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pgc.execute("""
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UPDATE "tabIssue" i
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SET assigned_staff = sa.staff_name
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FROM _staff_assign sa
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WHERE i.legacy_ticket_id = sa.legacy_ticket_id
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AND (i.assigned_staff IS NULL OR i.assigned_staff = '')
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""")
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updated = pgc.rowcount
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pg.commit()
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pgc.execute("DROP TABLE _staff_assign")
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pg.commit()
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pg.close()
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print(f"Updated: {updated} issues with assigned_staff")
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if __name__ == "__main__":
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main()
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