# 085: AI Data Transformation
# Transform data between formats

# Convert formats
json_data = """
{
  "users": [
    {"id": 1, "name": "Alex"},
    {"id": 2, "name": "Jordan"}
  ]
}
"""

### Intent: Convert this JSON to CSV format
csv_data = ai.transform(json_data, {
  from: "json",
  to: "csv"
})

show csv_data
# Output:
# id,name
# 1,Alex
# 2,Jordan

# Restructure data
flat_data = [
  { user_id: 1, order_id: 101, amount: 50 },
  { user_id: 1, order_id: 102, amount: 75 },
  { user_id: 2, order_id: 103, amount: 30 }
]

### Intent: Group orders by user_id
nested_data = ai.transform(flat_data, {
  operation: "group_by",
  key: "user_id",
  aggregate: "orders"
})

show nested_data
# Output:
# [
#   { user_id: 1, orders: [{ order_id: 101, amount: 50 }, { order_id: 102, amount: 75 }] },
#   { user_id: 2, orders: [{ order_id: 103, amount: 30 }] }
# ]

# Extract specific fields
complex_response = fetch "/api/users/detailed"

### Intent: Extract only name, email, and signup_date
simplified = ai.extract(complex_response, {
  fields: ["name", "email", "signup_date"]
})

# AI handles nested structures, missing fields, different naming conventions