Angora import

Import: $ARGUMENTS

Import structured data from inbox/ into the SQLite database.

Before you start

1. Check inbox — verify the target file exists in inbox/.
2. Read schema — glob src/data/schema/tables/*.ts to discover tables, read relevant files for column details.

Workflow

1. Read and detect format

Read the inbox file. Detect format:

• JSON array — [{...}, {...}]
• Nested JSON — { "testimonials": [...], "authors": [...] }
• CSV — comma-separated with header row

2. Analysis phase

Map data fields to schema columns. Flag:

• Fields in data without matching columns
• Required columns (NOT NULL, no default) without data
• Type mismatches (string in INTEGER column, etc.)
• Missing foreign key targets (e.g., media_id referencing non-existent media)
• Duplicate slugs
• Which table(s) the data maps to

3. Flag schema gaps

If the data has fields that don't match the schema, do NOT modify the schema. Report clearly:

"The data has a company field but the testimonials table doesn't have a company column. This needs schema work first. Run /angora-schema to update the schema."

4. Present mapping for approval

Show the user:

• Source field → Target column mapping
• Sample of first 2-3 rows as they would be inserted
• Any transformations needed (date format, slug generation, etc.)
• Row count

Wait for user approval before inserting.

5. Import with transactions

node -e "
  import db from './src/data/db.ts';
  import { <table> } from './src/data/schema/tables/<table>.ts';
  const rows = <data>;
  db.insert(<table>).values(rows).run();
  console.log('Inserted ' + rows.length + ' rows.');
"

Drizzle wraps multi-row inserts in a transaction by default.

6. Verify

Query and show a sample of inserted data:

node -e "
  import db from './src/data/db.ts';
  import { <table> } from './src/data/schema/tables/<table>.ts';
  import { desc } from 'drizzle-orm';
  const rows = db.select().from(<table>).orderBy(desc(<table>.id)).limit(5).all();
  console.table(rows);
"

Rules

• Never delete inbox files without explicit permission — ask after processing
• Never modify schema — that's the schema specialist's job. Report gaps and recommend /angora-schema.
• All imports require user approval before executing
• Report validation errors with row numbers and field names
• Supports JSON and CSV (more formats can be added)