AI ni rahisi sana kwa ubadilisho wa muundo (CSV ↔ JSON ↔ SQL) na scripts za uhamiaji kwa sababu sheria za mabadiliko ni kiufundi. Ujanja ni kumpa muktadha wa kutosha kuwa sahihi na salama: schema, safu ya sampuli, na mahitaji ya usalama wazi.
AI ni rahisi sana kwa ubadilisho wa muundo (CSV ↔ JSON ↔ SQL) na scripts za uhamiaji kwa sababu sheria za mabadiliko ni kiufundi. Ujanja ni kumpa muktadha wa kutosha kuwa sahihi na salama: schema, safu ya sampuli, na mahitaji ya usalama wazi.
import csv
# Source CSV: id,email,signup_date (signup_date may be blank)
# Target table: users(id INT, email TEXT NOT NULL, signup_date DATE NULL)
def csv_to_sql(path: str) -> list[str]:
statements = []
with open(path, newline="", encoding="utf-8") as f:
for row in csv.DictReader(f):
email = row["email"].strip()
if not email: # validate: skip invalid rows, don't insert garbage
continue
date = row["signup_date"].strip() or None
email_sql = email.replace("'", "''") # escape quotes to avoid broken SQL / injection
date_sql = f"'{date}'" if date else "NULL"
# ON CONFLICT makes it idempotent: re-running won't create duplicates
statements.append(
f"INSERT INTO users (id, email, signup_date) "
f"VALUES ({int(row['id'])}, '{email_sql}', {date_sql}) "
f"ON CONFLICT (id) DO NOTHING;"
)
return statements
Maoni yanaonyesha sehemu muhimu: uthibitisho (ruka barua pepe tupu), escaping (manukuu) na idempotence (ON CONFLICT DO NOTHING). Omba AI kuingiza zote tatu — hii ndio vitu ambavyo script naïve inasahau.
Uhamiaji wa data una hatari ya juu na kawaida ni mara moja: script inayoingiza maiga au kuangusha safu inaweza kuwa ghali kutenganisha. AI inaharakisha kuandika ubadilisho, lakini mali ya usalama — idempotence, uthibitisho, na dry-run kwenye nakala — haziwezi kukubaliwa. Tilimu script iliyojifanya kama rasimu ambayo lazima useme na ujaribu, kamwe sio kitu unachoeneza kwa njia ya ushindi dhidi ya data halisi.