type.file_read_too_large

Code reads a whole file into memory from a file field that can hold more than the 10 MB a whole read allows.

Area 16, Built-in services; not declinable; the next step is usually the agent's.

Why Jadpo refuses it

store.read reads a file's bytes into memory all at once, for passing them on, such as to an email as an attachment. A file field's max_size: says how large its files can be. When that is over 10 MB, one large upload could fill the server's memory, so the read is refused where it is written rather than failing when a large file arrives.

A file's rows, of any size, are read a batch at a time by the format helpers instead, which never hold the whole file.

What it looks like

The bakery keeps suppliers' price sheets of up to 50 MB, and an action reads one whole.

domains/bakery/entities/price_sheet.jadpo:

/// A supplier's price sheet, kept as it was sent.entity PriceSheet {    id: Uuid    sheet: File {        store: sheets        max_size: 50mb    }    policy: {        create: [Access.public]        read: [Access.public]    }}

domains/bakery/actions/sheet_bytes.jadpo:

use app { sheets }use bakery/entities { PriceSheet }/// A price sheet's bytes, whole.action sheet_bytes(sheet: PriceSheet.sheet) -> FileContents {    return sheets.read(sheet)}

  |6 |     return sheets.read(sheet)  |                        ^^^^^ holds up to 50 MB

(agent) at the end of the next: line means your coding agent can make the fix itself.

How to fix it

The question is whether the code needs the file's bytes whole, or its rows.

If the code needs the bytes whole, to pass them on, keep the field's max_size: at 10 MB or less. In domains/bakery/entities/price_sheet.jadpo:

        max_size: 10mb

PriceSheet.sheet now holds files of up to 10 MB, so sheets.read can read any of them whole.

If the code needs the sheet's rows, keep max_size: 50mb and read the file with a format helper such as csv.read, which reads a batch of rows at a time and hands each to an action (Data formats).

Related

• Reading a file: read, and formats
• store.read(file)
• A File field's settings
• Data formats: JSON, CSV, TSV and JSON Lines