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Bulat Kurbanov
2024-12-25 23:30:28 +01:00
parent 8002a93069
commit 325aee3377
27 changed files with 1285 additions and 29 deletions
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101
.sqlx/query-0485ba8682dc98b714d295e5780b5e36fb0fb6224b8628c181bb23bd0c953504.json generated Normal file
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{
"db_name": "PostgreSQL",
"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'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\",\n b.uploaded,\n (\n SELECT\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', sequences.id,\n 'name', sequences.name\n )\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 (\n SELECT\n JSON_BUILD_OBJECT(\n 'id', sources.id,\n 'name', sources.name\n )\n FROM sources\n WHERE sources.id = b.source\n ) AS \"source!: Source\",\n b.remote_id\n FROM books b\n WHERE lang = ANY($1) AND\n ($2::boolean IS NULL OR is_deleted = $2) AND\n ($3::date IS NULL OR uploaded >= $3) AND\n ($4::date IS NULL OR uploaded <= $4) AND\n ($5::integer IS NULL OR id >= $5) AND\n ($6::integer IS NULL OR id <= $6)\n ORDER BY b.id ASC\n OFFSET $7\n LIMIT $8\n ",
"describe": {
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{
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"type_info": "Int4"
},
{
"ordinal": 1,
"name": "title",
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{
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23
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@@ -0,0 +1,23 @@
{
"db_name": "PostgreSQL",
"query": "SELECT COUNT(*) FROM book_sequences bs\n JOIN books b ON b.id = bs.book\n WHERE\n b.is_deleted = FALSE AND\n bs.sequence = $1 AND\n b.lang = ANY($2)",
"describe": {
"columns": [
{
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"name": "count",
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35
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@@ -0,0 +1,35 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n b.id,\n CASE WHEN b.file_type = 'fb2' THEN ARRAY['fb2', 'epub', 'mobi', 'fb2zip'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\"\n FROM books b\n WHERE lang = ANY($1) AND\n ($2::boolean IS NULL OR is_deleted = $2) AND\n ($3::date IS NULL OR uploaded >= $3) AND\n ($4::date IS NULL OR uploaded <= $4) AND\n ($5::integer IS NULL OR id >= $5) AND\n ($6::integer IS NULL OR id <= $6)\n ORDER BY b.id ASC\n OFFSET $7\n LIMIT $8\n ",
"describe": {
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85
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{
"db_name": "PostgreSQL",
"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'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\",\n b.uploaded,\n (\n SELECT\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\n )\n FROM translations\n JOIN authors ON authors.id = translations.author\n WHERE translations.book = b.id\n ) AS \"translators!: Vec<Author>\",\n EXISTS(\n SELECT * FROM book_annotations WHERE book = b.id\n ) AS \"annotation_exists!: bool\",\n bs.position\n FROM books b\n JOIN book_sequences bs ON b.id = bs.book\n WHERE\n b.is_deleted = FALSE AND\n bs.sequence = $1 AND\n b.lang = ANY($2)\n ORDER BY bs.position\n LIMIT $3 OFFSET $4\n ",
"describe": {
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{
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"name": "lang",
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"name": "authors!: Vec<Author>",
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{
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{
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"name": "position",
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"hash": "14038503cd48456847a8ba692094691cb292a41b0456323b976e996536e20819"
}

40
.sqlx/query-1875c11e55b61fd58e916f7663e2649e0c09ae604e620274718dd465e7958f64.json generated Normal file
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@@ -0,0 +1,40 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n aa.id,\n aa.title,\n aa.text,\n aa.file\n FROM author_annotations aa\n WHERE aa.author = $1\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "title",
"type_info": "Varchar"
},
{
"ordinal": 2,
"name": "text",
"type_info": "Text"
},
{
"ordinal": 3,
"name": "file",
"type_info": "Varchar"
}
],
"parameters": {
"Left": [
"Int4"
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"nullable": [
false,
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false,
true
]
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"hash": "1875c11e55b61fd58e916f7663e2649e0c09ae604e620274718dd465e7958f64"
}

29
.sqlx/query-1f4b55a62fe01008a2a4a040450484785509312d213ea76a0efdd23d55e69a47.json generated Normal file
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@@ -0,0 +1,29 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n b.id,\n CASE WHEN b.file_type = 'fb2' THEN ARRAY['fb2', 'epub', 'mobi', 'fb2zip'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\"\n FROM books b\n JOIN book_authors ba ON b.id = ba.book\n WHERE\n b.is_deleted = false\n AND ba.author = $1\n AND b.lang = ANY($2)\n ",
"describe": {
"columns": [
{
"ordinal": 0,
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"type_info": "Int4"
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{
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"name": "available_types!: Vec<String>",
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"hash": "1f4b55a62fe01008a2a4a040450484785509312d213ea76a0efdd23d55e69a47"
}

82
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@@ -0,0 +1,82 @@
{
"db_name": "PostgreSQL",
"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'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\",\n b.uploaded,\n (\n SELECT\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', sequences.id,\n 'name', sequences.name\n )\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 ",
"describe": {
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{
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28
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@@ -0,0 +1,28 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT id, name FROM sequences WHERE id = $1\n ",
"describe": {
"columns": [
{
"ordinal": 0,
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"type_info": "Int4"
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{
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113
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@@ -0,0 +1,113 @@
{
"db_name": "PostgreSQL",
"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'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\",\n b.uploaded,\n (\n SELECT\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', sequences.id,\n 'name', sequences.name\n )\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 (\n SELECT\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', genres.id,\n 'code', genres.code,\n 'description', genres.description,\n 'meta', genres.meta,\n 'source', JSON_BUILD_OBJECT(\n 'id', sources.id,\n 'name', sources.name\n )\n )\n )\n FROM book_genres\n JOIN genres ON genres.id = book_genres.genre\n JOIN sources ON sources.id = genres.source\n WHERE book_genres.book = b.id\n ) AS \"genres!: Vec<Genre>\",\n EXISTS(\n SELECT * FROM book_annotations WHERE book = b.id\n ) AS \"annotation_exists!: bool\",\n (\n SELECT\n JSON_BUILD_OBJECT(\n 'id', sources.id,\n 'name', sources.name\n )\n FROM sources\n WHERE sources.id = b.source\n ) AS \"source!: Source\",\n b.remote_id,\n b.is_deleted,\n b.pages\n FROM books b\n WHERE b.source = $1 AND b.remote_id = $2\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "title",
"type_info": "Varchar"
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{
"ordinal": 2,
"name": "lang",
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{
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},
{
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"name": "genres!: Vec<Genre>",
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},
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{
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112
.sqlx/query-5f884948bcf39879c8d72d979e0638445a79707f55fd5eecb000a4166b3855b4.json generated Normal file
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@@ -0,0 +1,112 @@
{
"db_name": "PostgreSQL",
"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'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\",\n b.uploaded,\n (\n SELECT\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', sequences.id,\n 'name', sequences.name\n )\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 (\n SELECT\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', genres.id,\n 'code', genres.code,\n 'description', genres.description,\n 'meta', genres.meta,\n 'source', JSON_BUILD_OBJECT(\n 'id', sources.id,\n 'name', sources.name\n )\n )\n )\n FROM book_genres\n JOIN genres ON genres.id = book_genres.genre\n JOIN sources ON sources.id = genres.source\n WHERE book_genres.book = b.id\n ) AS \"genres!: Vec<Genre>\",\n EXISTS(\n SELECT * FROM book_annotations WHERE book = b.id\n ) AS \"annotation_exists!: bool\",\n (\n SELECT\n JSON_BUILD_OBJECT(\n 'id', sources.id,\n 'name', sources.name\n )\n FROM sources\n WHERE sources.id = b.source\n ) AS \"source!: Source\",\n b.remote_id,\n b.is_deleted,\n b.pages\n FROM books b\n WHERE b.id = $1\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
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},
{
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"name": "lang",
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{
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{
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"name": "year",
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"ordinal": 6,
"name": "uploaded",
"type_info": "Date"
},
{
"ordinal": 7,
"name": "authors!: Vec<Author>",
"type_info": "Json"
},
{
"ordinal": 8,
"name": "translators!: Vec<Author>",
"type_info": "Json"
},
{
"ordinal": 9,
"name": "sequences!: Vec<Sequence>",
"type_info": "Json"
},
{
"ordinal": 10,
"name": "genres!: Vec<Genre>",
"type_info": "Json"
},
{
"ordinal": 11,
"name": "annotation_exists!: bool",
"type_info": "Bool"
},
{
"ordinal": 12,
"name": "source!: Source",
"type_info": "Json"
},
{
"ordinal": 13,
"name": "remote_id",
"type_info": "Int4"
},
{
"ordinal": 14,
"name": "is_deleted",
"type_info": "Bool"
},
{
"ordinal": 15,
"name": "pages",
"type_info": "Int4"
}
],
"parameters": {
"Left": [
"Int4"
]
},
"nullable": [
false,
false,
false,
false,
false,
null,
false,
null,
null,
null,
null,
null,
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true
]
},
"hash": "5f884948bcf39879c8d72d979e0638445a79707f55fd5eecb000a4166b3855b4"
}

23
.sqlx/query-600cfd73a3a1c465c19d98dc4ba6381872d82f954b0733aa9518df2ee7701b6e.json generated Normal file
View File

@@ -0,0 +1,23 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT COUNT(*)\n FROM books b\n JOIN book_authors ba ON b.id = ba.book\n WHERE b.is_deleted = false AND ba.author = $1 AND b.lang = ANY($2)\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "count",
"type_info": "Int8"
}
],
"parameters": {
"Left": [
"Int4",
"TextArray"
]
},
"nullable": [
null
]
},
"hash": "600cfd73a3a1c465c19d98dc4ba6381872d82f954b0733aa9518df2ee7701b6e"
}

47
.sqlx/query-6e1d93e7773059ec3cb4fd29259f4f0250868c3f56e7b017ba8e5c20ccffb57d.json generated Normal file
View File

@@ -0,0 +1,47 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n a.id,\n a.first_name,\n a.last_name,\n COALESCE(a.middle_name, '') AS \"middle_name!: String\",\n CASE\n WHEN aa.id IS NOT NULL THEN true\n ELSE false\n END AS \"annotation_exists!: bool\"\n FROM authors a\n LEFT JOIN author_annotations aa ON a.id = aa.author\n ORDER BY a.id ASC\n OFFSET $1\n LIMIT $2\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "first_name",
"type_info": "Varchar"
},
{
"ordinal": 2,
"name": "last_name",
"type_info": "Varchar"
},
{
"ordinal": 3,
"name": "middle_name!: String",
"type_info": "Varchar"
},
{
"ordinal": 4,
"name": "annotation_exists!: bool",
"type_info": "Bool"
}
],
"parameters": {
"Left": [
"Int8",
"Int8"
]
},
"nullable": [
false,
false,
false,
null,
null
]
},
"hash": "6e1d93e7773059ec3cb4fd29259f4f0250868c3f56e7b017ba8e5c20ccffb57d"
}

22
.sqlx/query-78e41ab1e7ca7b6acaf21aec5015a75c2962f6085a5774773fba8acb5e166e2e.json generated Normal file
View File

@@ -0,0 +1,22 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT COUNT(*) FROM genres\n WHERE (meta = $1 OR $1 IS NULL)\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "count",
"type_info": "Int8"
}
],
"parameters": {
"Left": [
"Text"
]
},
"nullable": [
null
]
},
"hash": "78e41ab1e7ca7b6acaf21aec5015a75c2962f6085a5774773fba8acb5e166e2e"
}

74
.sqlx/query-95c232a0c52d8111e763f02f17b4b2dbe2c96a79c9c99d2011f7f04a1dddf6b3.json generated Normal file
View File

@@ -0,0 +1,74 @@
{
"db_name": "PostgreSQL",
"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'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\",\n b.uploaded,\n (\n SELECT\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', sequences.id,\n 'name', sequences.name\n )\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 ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "title",
"type_info": "Varchar"
},
{
"ordinal": 2,
"name": "lang",
"type_info": "Varchar"
},
{
"ordinal": 3,
"name": "file_type",
"type_info": "Varchar"
},
{
"ordinal": 4,
"name": "year",
"type_info": "Int2"
},
{
"ordinal": 5,
"name": "available_types!: Vec<String>",
"type_info": "VarcharArray"
},
{
"ordinal": 6,
"name": "uploaded",
"type_info": "Date"
},
{
"ordinal": 7,
"name": "authors!: Vec<Author>",
"type_info": "Json"
},
{
"ordinal": 8,
"name": "sequences!: Vec<Sequence>",
"type_info": "Json"
},
{
"ordinal": 9,
"name": "annotation_exists!: bool",
"type_info": "Bool"
}
],
"parameters": {
"Left": []
},
"nullable": [
false,
false,
false,
false,
false,
null,
false,
null,
null,
null
]
},
"hash": "95c232a0c52d8111e763f02f17b4b2dbe2c96a79c9c99d2011f7f04a1dddf6b3"
}

29
.sqlx/query-9740501d7b3d235efc914e185c9978d04e4d8ef89a2847f36e5f490183180fbb.json generated Normal file
View File

@@ -0,0 +1,29 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n b.id,\n CASE WHEN b.file_type = 'fb2' THEN ARRAY['fb2', 'epub', 'mobi', 'fb2zip'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\"\n FROM books b\n JOIN book_sequences bs ON b.id = bs.book\n WHERE\n b.is_deleted = FALSE AND\n bs.sequence = $1 AND\n b.lang = ANY($2)\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "available_types!: Vec<String>",
"type_info": "VarcharArray"
}
],
"parameters": {
"Left": [
"Int4",
"TextArray"
]
},
"nullable": [
false,
null
]
},
"hash": "9740501d7b3d235efc914e185c9978d04e4d8ef89a2847f36e5f490183180fbb"
}

23
.sqlx/query-9be35f43d7faa0c65c88ced8ee10347ae67e6a906461fb4858fc003824f4b260.json generated Normal file
View File

@@ -0,0 +1,23 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT COUNT(*)\n FROM books b\n JOIN book_authors ba ON b.id = ba.book\n WHERE\n b.is_deleted = false\n AND ba.author = $1\n AND b.lang = ANY($2)\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "count",
"type_info": "Int8"
}
],
"parameters": {
"Left": [
"Int4",
"TextArray"
]
},
"nullable": [
null
]
},
"hash": "9be35f43d7faa0c65c88ced8ee10347ae67e6a906461fb4858fc003824f4b260"
}

79
.sqlx/query-a76f04768121b35fdebdf19ea7959227068ccec4bfe2502d064a96ae5bcbc13e.json generated Normal file
View File

@@ -0,0 +1,79 @@
{
"db_name": "PostgreSQL",
"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'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\",\n b.uploaded,\n (\n SELECT\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', authors.id,\n 'first_name', authors.first_name,\n 'last_name', authors.last_name,\n 'middle_name', authors.middle_name,\n 'annotation_exists', EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )\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 JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', sequences.id,\n 'name', sequences.name\n )\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 JOIN book_authors ba ON b.id = ba.book\n WHERE b.is_deleted = false AND ba.author = $1 AND b.lang = ANY($2)\n ORDER BY b.title ASC\n OFFSET $3\n LIMIT $4\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "title",
"type_info": "Varchar"
},
{
"ordinal": 2,
"name": "lang",
"type_info": "Varchar"
},
{
"ordinal": 3,
"name": "file_type",
"type_info": "Varchar"
},
{
"ordinal": 4,
"name": "year",
"type_info": "Int2"
},
{
"ordinal": 5,
"name": "available_types!: Vec<String>",
"type_info": "VarcharArray"
},
{
"ordinal": 6,
"name": "uploaded",
"type_info": "Date"
},
{
"ordinal": 7,
"name": "translators!: Vec<Author>",
"type_info": "Json"
},
{
"ordinal": 8,
"name": "sequences!: Vec<Sequence>",
"type_info": "Json"
},
{
"ordinal": 9,
"name": "annotation_exists!: bool",
"type_info": "Bool"
}
],
"parameters": {
"Left": [
"Int4",
"TextArray",
"Int8",
"Int8"
]
},
"nullable": [
false,
false,
false,
false,
false,
null,
false,
null,
null,
null
]
},
"hash": "a76f04768121b35fdebdf19ea7959227068ccec4bfe2502d064a96ae5bcbc13e"
}

50
.sqlx/query-b0ed6a54e198e8388620cc9cf12deed4ce2f7c539c912caa0c6f3b46c8f8835f.json generated Normal file
View File

@@ -0,0 +1,50 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n genres.id,\n genres.remote_id,\n genres.code,\n genres.description,\n genres.meta,\n (\n SELECT\n JSON_BUILD_OBJECT(\n 'id', sources.id,\n 'name', sources.name\n )\n FROM sources\n WHERE sources.id = genres.source\n ) AS \"source!: Source\"\n FROM genres\n ORDER BY genres.id ASC\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "remote_id",
"type_info": "Int4"
},
{
"ordinal": 2,
"name": "code",
"type_info": "Varchar"
},
{
"ordinal": 3,
"name": "description",
"type_info": "Varchar"
},
{
"ordinal": 4,
"name": "meta",
"type_info": "Varchar"
},
{
"ordinal": 5,
"name": "source!: Source",
"type_info": "Json"
}
],
"parameters": {
"Left": []
},
"nullable": [
false,
false,
false,
false,
false,
null
]
},
"hash": "b0ed6a54e198e8388620cc9cf12deed4ce2f7c539c912caa0c6f3b46c8f8835f"
}

20
.sqlx/query-b4733c7414c62520fb74e3302f9c01bc351153930117c58832981990db038e74.json generated Normal file
View File

@@ -0,0 +1,20 @@
{
"db_name": "PostgreSQL",
"query": "SELECT COUNT(*) FROM authors",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "count",
"type_info": "Int8"
}
],
"parameters": {
"Left": []
},
"nullable": [
null
]
},
"hash": "b4733c7414c62520fb74e3302f9c01bc351153930117c58832981990db038e74"
}

40
.sqlx/query-b83f6df4dea9bad87d0423ad307da8c72e2c343181afa0f5bce3e1a43dee7c8c.json generated Normal file
View File

@@ -0,0 +1,40 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n id,\n title,\n text,\n file\n FROM book_annotations\n WHERE book = $1\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "title",
"type_info": "Varchar"
},
{
"ordinal": 2,
"name": "text",
"type_info": "Text"
},
{
"ordinal": 3,
"name": "file",
"type_info": "Varchar"
}
],
"parameters": {
"Left": [
"Int4"
]
},
"nullable": [
false,
false,
false,
true
]
},
"hash": "b83f6df4dea9bad87d0423ad307da8c72e2c343181afa0f5bce3e1a43dee7c8c"
}

29
.sqlx/query-bda85dc33c862019c6bd1bb2a3e22b83e8c1ad2a536901b122dcf6a247d210a0.json generated Normal file
View File

@@ -0,0 +1,29 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n b.id,\n CASE WHEN b.file_type = 'fb2' THEN ARRAY['fb2', 'epub', 'mobi', 'fb2zip'] ELSE ARRAY[b.file_type] END AS \"available_types!: Vec<String>\"\n FROM books b\n JOIN book_authors ba ON b.id = ba.book\n WHERE b.is_deleted = false AND ba.author = $1 AND b.lang = ANY($2)\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "available_types!: Vec<String>",
"type_info": "VarcharArray"
}
],
"parameters": {
"Left": [
"Int4",
"TextArray"
]
},
"nullable": [
false,
null
]
},
"hash": "bda85dc33c862019c6bd1bb2a3e22b83e8c1ad2a536901b122dcf6a247d210a0"
}

27
.sqlx/query-c0be89ba0ef10d97bb82401fed4196ffd2be48ce4e5586ba6da63c78793bb1db.json generated Normal file
View File

@@ -0,0 +1,27 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT COUNT(*) FROM books\n WHERE lang = ANY($1) AND\n ($2::boolean IS NULL OR is_deleted = $2) AND\n ($3::date IS NULL OR uploaded >= $3) AND\n ($4::date IS NULL OR uploaded <= $4) AND\n ($5::integer IS NULL OR id >= $5) AND\n ($6::integer IS NULL OR id <= $6)\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "count",
"type_info": "Int8"
}
],
"parameters": {
"Left": [
"TextArray",
"Bool",
"Date",
"Date",
"Int4",
"Int4"
]
},
"nullable": [
null
]
},
"hash": "c0be89ba0ef10d97bb82401fed4196ffd2be48ce4e5586ba6da63c78793bb1db"
}

28
.sqlx/query-d14c08d4d25201d30178c2313650db1aaef355968970f7f0a75b88bba209dc20.json generated Normal file
View File

@@ -0,0 +1,28 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT id, name FROM sequences WHERE id = ANY($1)\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "name",
"type_info": "Varchar"
}
],
"parameters": {
"Left": [
"Int4Array"
]
},
"nullable": [
false,
false
]
},
"hash": "d14c08d4d25201d30178c2313650db1aaef355968970f7f0a75b88bba209dc20"
}

46
.sqlx/query-d6584aea52bc3abcbb4d9f491ef357845b562cf83d2e135b7542ebca2024a3f3.json generated Normal file
View File

@@ -0,0 +1,46 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n a.id,\n a.first_name,\n a.last_name,\n COALESCE(a.middle_name, '') AS \"middle_name!: String\",\n CASE\n WHEN aa.id IS NOT NULL THEN true\n ELSE false\n END AS \"annotation_exists!: bool\"\n FROM authors a\n LEFT JOIN author_annotations aa ON a.id = aa.author\n WHERE a.id = $1\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "first_name",
"type_info": "Varchar"
},
{
"ordinal": 2,
"name": "last_name",
"type_info": "Varchar"
},
{
"ordinal": 3,
"name": "middle_name!: String",
"type_info": "Varchar"
},
{
"ordinal": 4,
"name": "annotation_exists!: bool",
"type_info": "Bool"
}
],
"parameters": {
"Left": [
"Int4"
]
},
"nullable": [
false,
false,
false,
null,
null
]
},
"hash": "d6584aea52bc3abcbb4d9f491ef357845b562cf83d2e135b7542ebca2024a3f3"
}

54
.sqlx/query-daada7d7552a41a8d44a4f7b3d62bc804f3f4944166d8e168e1a3a91f2ff4bc9.json generated Normal file
View File

@@ -0,0 +1,54 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n genres.id,\n genres.remote_id,\n genres.code,\n genres.description,\n genres.meta,\n (\n SELECT\n JSON_BUILD_OBJECT(\n 'id', sources.id,\n 'name', sources.name\n )\n FROM sources\n WHERE sources.id = genres.source\n ) AS \"source!: Source\"\n FROM genres\n WHERE (meta = $1 OR $1 IS NULL)\n ORDER BY genres.id ASC\n LIMIT $2 OFFSET $3\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "remote_id",
"type_info": "Int4"
},
{
"ordinal": 2,
"name": "code",
"type_info": "Varchar"
},
{
"ordinal": 3,
"name": "description",
"type_info": "Varchar"
},
{
"ordinal": 4,
"name": "meta",
"type_info": "Varchar"
},
{
"ordinal": 5,
"name": "source!: Source",
"type_info": "Json"
}
],
"parameters": {
"Left": [
"Text",
"Int8",
"Int8"
]
},
"nullable": [
false,
false,
false,
false,
false,
null
]
},
"hash": "daada7d7552a41a8d44a4f7b3d62bc804f3f4944166d8e168e1a3a91f2ff4bc9"
}

46
.sqlx/query-eaeeab7481036b78b9323b5d9e99e9a14a39e4f6c1489fe564045e937c38769c.json generated Normal file
View File

@@ -0,0 +1,46 @@
{
"db_name": "PostgreSQL",
"query": "\n SELECT\n a.id,\n a.first_name,\n a.last_name,\n COALESCE(a.middle_name, '') AS \"middle_name!: String\",\n CASE\n WHEN aa.id IS NOT NULL THEN true\n ELSE false\n END AS \"annotation_exists!: bool\"\n FROM authors a\n LEFT JOIN author_annotations aa ON a.id = aa.author\n WHERE a.id = ANY($1)\n ",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Int4"
},
{
"ordinal": 1,
"name": "first_name",
"type_info": "Varchar"
},
{
"ordinal": 2,
"name": "last_name",
"type_info": "Varchar"
},
{
"ordinal": 3,
"name": "middle_name!: String",
"type_info": "Varchar"
},
{
"ordinal": 4,
"name": "annotation_exists!: bool",
"type_info": "Bool"
}
],
"parameters": {
"Left": [
"Int4Array"
]
},
"nullable": [
false,
false,
false,
null,
null
]
},
"hash": "eaeeab7481036b78b9323b5d9e99e9a14a39e4f6c1489fe564045e937c38769c"
}