Install Folio
bin/console folio:pull --dataset mus/cazma
Link Types
| Forward | Reverse | Links |
|---|---|---|
| No link types loaded. | ||
Observed Schema
| Name | Core | Type | Rows |
|---|---|---|---|
| dto_photograph | obj | photograph | 603 |
Archive Docs
Folio Metadata
json
{
"folio": {
"code": "mus/cazma",
"label": "Topoteka \u010cazma",
"dataset_key": "mus/cazma",
"row_count": 603
},
"cores": [
{
"code": "obj",
"label": null,
"row_count": 603
}
],
"dtoTables": [
{
"id": "mus/cazma:dto_photograph",
"name": "dto_photograph",
"kind": "dto",
"core_code": "obj",
"dto_type": "photograph",
"label": "Photograph",
"description": null,
"row_count": 603
}
],
"views": [
"dto_photograph"
],
"generatedAt": "2026-07-10T13:30:24+00:00",
"metadata": {
"archivePreparedAt": "2026-07-10T13:30:24+00:00",
"schema": {
"tables": 2,
"properties": 12
},
"views": {
"views": 1
}
}
}
Overview
md
# Folio mus/cazma Topoteka Čazma - Dataset key: `mus/cazma` - Rows: 603 - Cores: 1 - Observed DTO tables: 1 ## Cores | Core | Label | Rows | | --- | --- | ---: | | `obj` | obj | 603 |
Observed Schema
md
# Observed Schema
## `dto_photograph`
- Core: `obj`
- DTO type: `photograph`
- Rows: 603
| Field | Type | Flags | Description |
| --- | --- | --- | --- |
| `id` | `?string` | | |
| `sourceUrl` | `?string` | | |
| `contentType` | `?string` | | |
| `aggregator` | `?string` | | |
| `stage` | `?string` | filterable, facet | Pipeline processing stage (raw / normalized / enriched). A facet so you can filter to enriched items; later this can be made dev-only. |
| `title` | `?string` | | dcterms:title |
| `description` | `?string` | | dcterms:description — short curatorial text from the source institution |
| `date` | `?string` | | dcterms:date — display string, may be fuzzy ("ca. 1920") |
| `citationUrl` | `?string` | | ItemField::CITATION_URL — deep link back to the source record (e.g. the NARA catalog page). Rendered as the "Original" link on the folio item page. |
| `thumbnailUrl` | `?string` | | |
| `pageCount` | `?int` | sortable | Number of pages in the document. |
| `source` | `string` | | Source of this data: import \| ai \| ocr \| human |
Query Guide
md
# Query Guide This folio stores canonical rows in `item` and observed field metadata in `schema_table` / `schema_property`. ```sql select * from schema_table where kind = 'dto'; select * from schema_property where table_id = ? order by position; select local_id, label, dto_type, dto_data, extras from item limit 20; ``` Convenience views are generated from observed DTO fields: ```sql select * from dto_photograph limit 20; ```