ConsultancyProject1_Auslastungsmodellierung/docs/schema.dbml

// Use DBML to define your database structure
// Docs: https://dbml.dbdiagram.io/docs

Table seeds [note: 'Table contains the URIs which are used for the initial scraping.'] {
  seed_id integer [primary key]
  uri text [not null, unique]
  region_id integer [not null, ref: > regions.region_id]
}

Table regions {
  region_id integer [primary key]
  name varchar(255) [not null]
}

Table properties {
  property_id integer [primary key]
  property_platform_id varchar(255) [unique, not null, note: 'uuid from platform beeing used']
  seed_id integer [not null, ref: > seeds.seed_id]
  check_data json [note: 'for storing data, which is beeing used for consistency checks. E. g. geo_dates or title']
  last_found timestamp
  created_at timestamp
}

Table extractions {
  extraction_id integer [primary key]
  property_id integer [unique, ref: > properties.property_id]
  body text [not null]
  header text [not null]
  created_at timestamp [not null]
}

enum types {
  property
  calendar
  offer
}

Table exceptions {
  exception_id integer [primary key]
  exception json [not null, note: "exception while scraping (e. g. HTTP error message) and called url."]
  type types [not null, note: "for which entity did the exception occur."]
  property_id integer [not null, ref: > properties.property_id, note: "either a property_id"]
}