mirror of
https://github.com/flibusta-apps/book_library_server.git
synced 2025-12-06 15:15:36 +01:00
176 lines
6.2 KiB
JSON
176 lines
6.2 KiB
JSON
{
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"db_name": "PostgreSQL",
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"query": "\n SELECT\n b.id,\n b.title,\n b.lang,\n b.file_type,\n b.year,\n CASE WHEN b.file_type = 'fb2' THEN ARRAY['fb2', 'epub', 'mobi', 'fb2zip']::text[] ELSE ARRAY[b.file_type]::text[] END AS \"available_types!: Vec<String>\",\n b.uploaded,\n (\n SELECT\n ARRAY_AGG(\n ROW(\n authors.id,\n authors.first_name,\n authors.last_name,\n authors.middle_name,\n EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )::author_type\n )\n FROM book_authors\n JOIN authors ON authors.id = book_authors.author\n WHERE book_authors.book = b.id\n ) AS \"authors!: Vec<Author>\",\n (\n SELECT\n ARRAY_AGG(\n ROW(\n authors.id,\n authors.first_name,\n authors.last_name,\n authors.middle_name,\n EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )::author_type\n )\n FROM translations\n JOIN authors ON authors.id = translations.author\n WHERE translations.book = b.id\n ) AS \"translators!: Vec<Author>\",\n (\n SELECT\n ARRAY_AGG(\n ROW(\n sequences.id,\n sequences.name\n )::sequence_type\n )\n FROM book_sequences\n JOIN sequences ON sequences.id = book_sequences.sequence\n WHERE book_sequences.book = b.id\n ) AS \"sequences!: Vec<Sequence>\",\n EXISTS(\n SELECT * FROM book_annotations WHERE book = b.id\n ) AS \"annotation_exists!: bool\"\n FROM books b\n WHERE b.id = ANY($1)\n ",
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"describe": {
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"columns": [
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{
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"ordinal": 0,
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"name": "id",
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"type_info": "Int4"
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},
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{
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"ordinal": 1,
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"name": "title",
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"type_info": "Varchar"
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},
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{
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"ordinal": 2,
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"name": "lang",
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"type_info": "Varchar"
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},
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{
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"ordinal": 3,
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"name": "file_type",
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"type_info": "Varchar"
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},
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{
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"ordinal": 4,
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"name": "year",
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"type_info": "Int2"
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},
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{
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"ordinal": 5,
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"name": "available_types!: Vec<String>",
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"type_info": "TextArray"
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},
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{
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"ordinal": 6,
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"name": "uploaded",
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"type_info": "Date"
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},
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{
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"ordinal": 7,
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"name": "authors!: Vec<Author>",
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"type_info": {
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"Custom": {
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"name": "author_type[]",
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"kind": {
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"Array": {
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"Custom": {
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"name": "author_type",
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"kind": {
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"Composite": [
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[
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"id",
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"Int4"
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],
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[
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"first_name",
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"Varchar"
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],
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[
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"last_name",
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"Varchar"
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],
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[
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"middle_name",
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"Varchar"
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],
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[
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"annotation_exists",
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"Bool"
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]
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]
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}
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}
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}
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}
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}
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}
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},
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{
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"ordinal": 8,
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"name": "translators!: Vec<Author>",
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"type_info": {
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"Custom": {
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"name": "author_type[]",
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"kind": {
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"Array": {
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"Custom": {
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"name": "author_type",
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"kind": {
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"Composite": [
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[
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"id",
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"Int4"
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],
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[
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"first_name",
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"Varchar"
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],
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[
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"last_name",
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"Varchar"
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],
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[
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"middle_name",
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"Varchar"
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],
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[
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"annotation_exists",
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"Bool"
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]
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]
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}
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}
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}
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}
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}
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}
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},
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{
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"ordinal": 9,
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"name": "sequences!: Vec<Sequence>",
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"type_info": {
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"Custom": {
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"name": "sequence_type[]",
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"kind": {
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"Array": {
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"Custom": {
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"name": "sequence_type",
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"kind": {
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"Composite": [
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[
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"id",
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"Int4"
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],
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[
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"name",
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"Varchar"
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]
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]
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}
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}
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}
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}
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}
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}
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},
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{
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"ordinal": 10,
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"name": "annotation_exists!: bool",
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"type_info": "Bool"
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}
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],
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"parameters": {
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"Left": [
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"Int4Array"
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]
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},
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"nullable": [
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false,
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false,
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false,
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false,
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false,
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null,
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false,
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null,
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null,
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null,
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null
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]
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},
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"hash": "df1babb391f678c6c4e79a382f43b248c47c57a78620a7147b1f42a886154d8d"
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}
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