Sorting
The openai-screenwriter-tutorial-v2 GraphQL API can sort the records returned by the sortable fields for each model. If you pass the sort
argument to a find call, you can pass the fields and directions to sort by.
await api.post.findMany({sort: {publishedAt: "Descending",},});
1const [result, refresh] = useFindMany(api.post, {2 sort: {3 publishedAt: "Descending",4 },5});6const { data, error, fetching } = result;
1query FindManyPosts($sort: [PostSort!]) {2 posts(sort: $sort) {3 edges {4 node {5 id6 publishedAt7 }8 }9 }10}
{ "sort": { "publishedAt": "Descending" } }
await api.post.findMany({sort: {publishedAt: "Descending",},});
1const [result, refresh] = useFindMany(api.post, {2 sort: {3 publishedAt: "Descending",4 },5});6const { data, error, fetching } = result;
You can sort on findMany
, findFirst
, and maybeFindFirst
read calls using the API Client in Gadget.
Sort order
Records can be ordered in either Descending
or Ascending
order for each field they are sorted on. Descending
order will return the highest values first, while Ascending
order will return the lowest values first. If sorting by multiple fields, each field can have a different order.
Sorting by multiple fields
Records can be sorted by multiple fields by passing multiple sort orders in an array to your API call, like [ { fieldA: "Descending" }, { fieldB: "Ascending" }]
. The first field will be used to order all the records, and then the second field will be used to break ties where records have the same value as the first field. Subsequent sorts will be used to break ties in the second field, etc.
await api.post.findMany({sort: [{ category: "Ascending" }, { publishedAt: "Descending" }],});
1const [result, refresh] = useFindMany(api.post, {2 sort: [3 { category: "Ascending" },4 { publishedAt: "Descending" }5 ]6});7const { data, error, fetching } = result;
1query FindManyPosts($sort: [PostSort!]) {2 posts(filter: $filter) {3 edges {4 node {5 id6 publishedAt7 }8 }9 }10}
{ "sort": [{ "category": "Ascending" }, { "publishedAt": "Descending" }] }
await api.post.findMany({sort: [{ category: "Ascending" }, { publishedAt: "Descending" }],});
1const [result, refresh] = useFindMany(api.post, {2 sort: [3 { category: "Ascending" },4 { publishedAt: "Descending" }5 ]6});7const { data, error, fetching } = result;
Available fields for sorting
Records can be sorted by most fields of their model in either the Ascending
or Descending
direction. The following field types are sortable:
Field types | Notes |
---|---|
string, email, url | Sorted using Postgres's alphanumeric sorting rules |
rich text | Sorted using Postgres's alphanumeric sorting rules on the markdown source text |
number | Sorted by the number's value along the number line |
boolean | Sorted with true higher than false . Descending puts true s first |
date / time | Sorted by the date and time's value, with earlier dates coming before later dates when using Ascending order |
id | Sorted by the ID's numeric value, with lower IDs coming before higher IDs when using Ascending order |
enum | Sorted by the enum values as strings, using Postgres's alphanumeric sorting rules |
json | Sorted by the JSON string representation, using Postgres's alphanumeric sorting rules |
vector | Sorted by a given vector distance operation |
Alphanumeric sorting rules
Gadget uses Postgres's alphanumeric string sorting rules under the hood, which sorts spaces first, then numbers, then upper case letters, then special symbols, then lower case letters, then nulls.
For example, the following list of strings sorts in this order when sorted Ascending
:
1" spaces"2"10-4"3"123"4"Apple"5"Cube"6"___"7"anjou pear"8"banana"9null
Sorting by vector distance
vector fields support vector-specific sort types for returning records in order of distance to a given vector. This implements a nearest neighbor search by querying all your stored vectors to find those that are most similar to an input vector on demand.
To sort by vector distance to a given vector field, pass an object with a to:
input field with the vector to sort by.
If we have a document
model with an embedding
field of type vector, we can sort by the cosine distance to a given vector like so:
1await api.document.findMany({2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3], // etc5 },6 },7});
1const [result, refresh] = useFindMany(api.document, {2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3] // etc5 }6 }7});8const { data, error, fetching } = result;
1query FindManyDocuments($sort: [DocumentSort!]) {2 posts(filter: $filter) {3 edges {4 node {5 id6 embedding7 }8 }9 }10}
{ "sort": { "embedding": { "cosineSimilarityTo": [1, 2, 3] } } }
1await api.document.findMany({2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3], // etc5 },6 },7});
1const [result, refresh] = useFindMany(api.document, {2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3] // etc5 }6 }7});8const { data, error, fetching } = result;
Available vector distance operations
Vectors can be sorted by cosine similarity and L2 (Euclidian) distance to a given vector. Gadget generally recommends using cosine similarity for sorting, as it is more robust to changes in vector magnitude.
- To sort by cosine similarity, pass a sort like
{ fieldName: { cosineSimilarity: { to: [1,2,3] }}}
. Cosine similarity will order by the most similar vectors first, ie cosine similarity descending.
1await api.document.findMany({2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3],5 },6 },7});
1await api.document.findMany({2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3],5 },6 },7});
- To sort by L2 distance, pass a sort like
{ fieldName: { l2Distance: { to: [1,2,3] }}}
. L2 distance will order by the closest vectors first, ie L2 distance ascending.
1await api.document.findMany({2 sort: {3 embedding: {4 l2DistanceTo: [1, 2, 3],5 },6 },7});
1await api.document.findMany({2 sort: {3 embedding: {4 l2DistanceTo: [1, 2, 3],5 },6 },7});
Sorting by least similar
Vectors can be sorted for least similarity by using one of the vector distance sorts with the order: "Ascending"
option. This will return the least similar vectors first.
1await api.document.findMany({2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3], // etc5 order: "Ascending",6 },7 },8});
1const [result, refresh] = useFindMany(api.document, {2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3], // etc5 order: "Ascending"6 }7 }8});9const { data, error, fetching } = result;
1query FindManyDocuments($sort: [DocumentSort!]) {2 posts(filter: $filter) {3 edges {4 node {5 id6 embedding7 }8 }9 }10}
{"sort": { "embedding": { "cosineSimilarityTo": [1, 2, 3], "order": "Ascending" } }}
1await api.document.findMany({2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3], // etc5 order: "Ascending",6 },7 },8});
1const [result, refresh] = useFindMany(api.document, {2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3], // etc5 order: "Ascending"6 }7 }8});9const { data, error, fetching } = result;
Unsortable fields
Currently, Gadget does not support sorting records by fields of the following types:
- file
- encrypted string
- password
- has many
- has one
- has many through
- computed
Filtering
The openai-screenwriter-tutorial-v2 GraphQL API can filter records when reading to only the records matching certain conditions. If you pass a filter
argument to a read API call, only records that match the filter will be returned.
await api.post.findMany({filter: {isPublished: { equals: true },},});
1const [result, refresh] = useFindMany(api.post, {2 filter: {3 isPublished: {4 equals: true5 }6 },7});8const { data, error, fetching } = result;
1query FindManyPosts($filter: [PostFilter!]) {2 posts(filter: $filter) {3 edges {4 node {5 id6 isPublished7 }8 }9 }10}
{ "filter": { "isPublished": { "equals": true } } }
await api.post.findMany({filter: {isPublished: { equals: true },},});
1const [result, refresh] = useFindMany(api.post, {2 filter: {3 isPublished: {4 equals: true5 }6 },7});8const { data, error, fetching } = result;
You can filter on findMany
, findFirst
, and maybeFindFirst
read requests using the API Client in Gadget.
Available fields for filtering
Records can be filtered by most fields of their model, and the type of each model field determines what kind of filters are available in the API. For each field, Gadget uses a specific type for filtering that field type:
Field types | Filter GraphQL Type |
---|---|
string, rich text, email, url | StringFilter |
number | FloatFilter and IntFilter |
boolean | BooleanFilter |
date / time | DateTimeFilter |
id | IDFilter |
enum | SingleEnumFilter and MultiEnumFilter |
json | JSONFilter |
vector | VectorFilter |
record state | StateFilter |
role list | RoleAssignmentFilter |
belongs to | ModelRelationshipFilter |
has one | ModelRelationshipFilter |
has many | ModelRelationshipFilter |
has many through | ModelRelationshipFilter |
Each model then has a filter-specific GraphQL type that details the types of filters available on the selected model. For example, if there is a Post
model to capture blog post records, there will also be a generated PostFilter
GraphQL type. This filter type can be viewed in the API Reference or API Playground.
Examine the filter typing of your app's API by checking the documentation in the API Playground. All filter types will be visible for all fields on your app's models.
Combining filters
Records can also be filtered by multiple different fields. If you want to combine filters using boolean logic, nest them under the AND
, OR
, or NOT
keys of a parent filter.
await api.post.findMany({filter: {OR: [{ isPublished: { equals: true } }, { wordCount: { greaterThan: 500 } }],},});
1const [result, refresh] = useFindMany(api.post, {2 filter: {3 OR: [4 {5 isPublished: { equals: true }6 },7 {8 wordCount: { greaterThan: 500 }9 }10 ]11 },12});13const { data, error, fetching } = result;
1query FindManyPosts($filter: [PostFilter!]) {2 posts(filter: $filter) {3 edges {4 node {5 id6 isPublished7 }8 }9 }10}
1{2 "filter": {3 "OR": [4 { "isPublished": { "equals": true } },5 { "wordCount": { "greaterThan": 500 } }6 ]7 }8}
await api.post.findMany({filter: {OR: [{ isPublished: { equals: true } }, { wordCount: { greaterThan: 500 } }],},});
1const [result, refresh] = useFindMany(api.post, {2 filter: {3 OR: [4 {5 isPublished: { equals: true }6 },7 {8 wordCount: { greaterThan: 500 }9 }10 ]11 },12});13const { data, error, fetching } = result;
Filters can be nested deeply by passing multiple levels of boolean condition filters.
For example, we can fetch orders from a Shopify Order model where the total is between $100 and $200, and the order is either paid or refunded:
1api.shopifyOrder.findMany({2 filter: {3 AND: [4 {5 AND: [6 { totalPrice: { greaterThan: 100 } },7 { totalPrice: { lessThan: 200 } },8 ],9 },10 {11 OR: [12 { financialStatus: { equals: "paid" } },13 { financialStatus: { equals: "refunded" } },14 ],15 },16 ],17 },18});
1const [{ data, error, fetching }, refresh] = useFindMany(api.shopifyOrder, {2 filter: {3 AND: [4 { AND: [{ totalPrice: { greaterThan: 100 } }, { totalPrice: { lessThan: 200 } }]},5 { OR: [{ financialStatus: { equals: "paid"} }, { financialStatus: { equals: "refunded" } }] }6 ]7 },8});
1query FindManyShopifyOrders($filter: [ShopifyOrderFilter!]) {2 shopifyOrders(filter: $filter) {3 edges {4 node {5 id6 totalPrice7 financialStatus8 }9 }10 }11}
1{2 "filter": [3 {4 "AND": [5 { "totalPrice": { "greaterThan": 100 } },6 { "totalPrice": { "lessThan": 200 } }7 ]8 },9 {10 "OR": [11 { "financialStatus": { "equals": "paid" } },12 { "financialStatus": { "equals": "refunded" } }13 ]14 }15 ]16}
1api.shopifyOrder.findMany({2 filter: {3 AND: [4 {5 AND: [6 { totalPrice: { greaterThan: 100 } },7 { totalPrice: { lessThan: 200 } },8 ],9 },10 {11 OR: [12 { financialStatus: { equals: "paid" } },13 { financialStatus: { equals: "refunded" } },14 ],15 },16 ],17 },18});
1const [{ data, error, fetching }, refresh] = useFindMany(api.shopifyOrder, {2 filter: {3 AND: [4 { AND: [{ totalPrice: { greaterThan: 100 } }, { totalPrice: { lessThan: 200 } }]},5 { OR: [{ financialStatus: { equals: "paid"} }, { financialStatus: { equals: "refunded" } }] }6 ]7 },8});
Filter types
There are many different filter types available in Gadget. Each filter type corresponds to one or more field types.
Filtering on string and string-like fields
Fields using the string type or other string-like field types like rich text, email, url can be filtered using string filters. For example, you can filter down to records where a string is equal to a given string:
1await api.student.findMany({2 filter: {3 firstName: {4 equals: "Taylor",5 },6 },7});
1await api.student.findMany({2 filter: {3 firstName: {4 equals: "Taylor",5 },6 },7});
Or filter to records where the stored string starts with a given string prefix:
1await api.post.findMany({2 filter: {3 title: {4 startsWith: "How to",5 },6 },7});
1await api.post.findMany({2 filter: {3 title: {4 startsWith: "How to",5 },6 },7});
The full list of supported filters on string and string-like fields are are:
equals
string filtering
The equals
filter key is used to filter down to records where the string field is equal to a given string. equals
does a case-sensitive match to check if the incoming string is exactly equal to the stored string, and will only return records where that is true.
1await api.widget.findMany({2 filter: {3 name: {4 equals: "gizmo",5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 equals: "gizmo",5 },6 },7});
notEquals
string filtering
The notEquals
filter key is used to filter down to records where the string field is set to anything other than a given string. notEquals
does a case-sensitive match to check if the incoming string is exactly equal to the stored string, and will only return records where that is false.
1await api.widget.findMany({2 filter: {3 name: {4 notEquals: "gizmo",5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 notEquals: "gizmo",5 },6 },7});
isSet
string filtering
The isSet
filter key is used to filter down to records where the string field is set to anything other than null
. isSet
will only return records where the value is not null
.
1await api.widget.findMany({2 filter: {3 name: {4 isSet: true,5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 isSet: true,5 },6 },7});
isSet
can also be used to check for null by passing isSet: false
.
1await api.widget.findMany({2 filter: {3 name: {4 isSet: false,5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 isSet: false,5 },6 },7});
in
string filtering
The in
filter key is used to filter down to records where the string field is exactly equal to one of the provided strings. in
does a case-sensitive exact comparison between each of the provided strings to the string stored in the database, and will return records where the string field is equal to any of the provided strings. The in
filter will never return records where the stored string is null.
1await api.widget.findMany({2 filter: {3 name: {4 in: ["gizmo", "gadget"],5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 in: ["gizmo", "gadget"],5 },6 },7});
notIn
string filtering
The notIn
filter key is used to filter down to records where the string field is not equal to any of the provided strings. notIn
does a case-sensitive exact comparison between each of the provided strings to the string stored in the database, and will return records where the string field is not equal to any of the provided strings. notIn
will also return records where the stored string is null.
1await api.widget.findMany({2 filter: {3 name: {4 notIn: ["gizmo", "gadget"],5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 notIn: ["gizmo", "gadget"],5 },6 },7});
startsWith
string filtering
The startsWith
filter key is used to filter down to records where the string field starts with the given string. This filter is case-sensitive and will return records where the string field begins with the specified substring. startsWith
will never return records where the string field is set to null.
1await api.widget.findMany({2 filter: {3 name: {4 startsWith: "giz",5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 startsWith: "giz",5 },6 },7});
lessThan
and lessThanOrEqual
string filtering
The lessThan
filter key is used to filter down to records where the string field is lexicographically less than a given string. Lexicographically less means that the string comes before the given string in dictionary order, based on the Unicode values of the characters. For example, "apple" is lexicographically less than "banana", and "abc" is lexicographically less than "abd".
1await api.widget.findMany({2 filter: {3 name: {4 lessThan: "gizmo",5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 lessThan: "gizmo",5 },6 },7});
Similarly, the lessThanOrEqual
filter key is used to filter down to records where the string field is lexicographically less than or equal to a given string.
1await api.widget.findMany({2 filter: {3 name: {4 lessThanOrEqual: "gizmo",5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 lessThanOrEqual: "gizmo",5 },6 },7});
greaterThan
and greaterThanOrEqual
string filtering
The greaterThan
filter key is used to filter down to records where the string field is lexicographically greater than a given string. Lexicographically greater means that the string comes after the given string in dictionary order, based on the Unicode values of the characters. For example, "banana" is lexicographically greater than "apple", and "abd" is lexicographically greater than "abc".
1await api.widget.findMany({2 filter: {3 name: {4 greaterThan: "gizmo",5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 greaterThan: "gizmo",5 },6 },7});
Similarly, the greaterThanOrEqual
filter key is used to filter down to records where the string field is lexicographically greater than or equal to a given string.
1await api.widget.findMany({2 filter: {3 name: {4 greaterThanOrEqual: "gizmo",5 },6 },7});
1await api.widget.findMany({2 filter: {3 name: {4 greaterThanOrEqual: "gizmo",5 },6 },7});
Case-insensitive filtering
Currently, Gadget has no filters for strings that do a case-insensitive comparison between the stored value and provided value. You can work around this by storing a second copy of the string on your model, and lowercasing it upon storage and upon filtering:
1export const run: ActionRun = async ({ params, record }) => {2 applyParams(record, params);3 // store the lowercase version of the name as well for filtering later4 record.lowercaseName = record.name?.toLowerCase();5 await save(record);6};
1export const run: ActionRun = async ({ params, record }) => {2 applyParams(record, params);3 // store the lowercase version of the name as well for filtering later4 record.lowercaseName = record.name?.toLowerCase();5 await save(record);6};
Then, you can filter on the lowercase name:
1await api.widget.findMany({2 filter: {3 lowercaseName: {4 startsWith: "Giz".toLowerCase(),5 },6 },7});
1await api.widget.findMany({2 filter: {3 lowercaseName: {4 startsWith: "Giz".toLowerCase(),5 },6 },7});
If native case-insensitivity is an important feature for you, please reach out to us in our Discord!
Filtering on number fields
The number field type supports filtering on numeric fields. Numbers can be filtered by null-ness, equality, and by range.
For example, we can filter a post model by the wordCount
number field to get all posts over 500 words:
1await api.posts.findMany({2 filter: {3 wordCount: {4 greaterThan: 500,5 },6 },7});
1await api.posts.findMany({2 filter: {3 wordCount: {4 greaterThan: 500,5 },6 },7});
Under the hood, your API generates different filter types for <FieldTypeTags.Number/>
fields marked as integers or floats. The FloatFilter type is used for fields that have a decimal value, and the IntFilter type is used for fields that have an integer value. The Float scalar type represents signed double-precision fractional values as specified by IEEE 754.
The full list of supported filters on number fields are:
equals
number filtering
The equals
filter key is used to filter down to records where the number field is equal to a given number. equals
does an exact match to check if the incoming number is exactly equal to the stored number, and will only return records where that is true.
1await api.widget.findMany({2 filter: {3 quantity: {4 equals: 10,5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 equals: 10,5 },6 },7});
notEquals
number filtering
The notEquals
filter key is used to filter down to records where the number field is set to anything other than a given number. notEquals
does an exact match to check if the incoming number is exactly equal to the stored number, and will only return records where that is false.
1await api.widget.findMany({2 filter: {3 quantity: {4 notEquals: 10,5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 notEquals: 10,5 },6 },7});
isSet
number filtering
The isSet
filter key is used to filter down to records where the number field is set to anything other than null
. isSet
will only return records where the value is not null
.
1await api.widget.findMany({2 filter: {3 quantity: {4 isSet: true,5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 isSet: true,5 },6 },7});
isSet
can also be used to check for null by passing isSet: false
.
1await api.widget.findMany({2 filter: {3 quantity: {4 isSet: false,5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 isSet: false,5 },6 },7});
in
number filtering
The in
filter key is used to filter down to records where the number field is exactly equal to one of the provided numbers. in
does an exact comparison between each of the provided numbers to the number stored in the database, and will return records where the number field is equal to any of the provided numbers. The in
filter will never return records where the stored number is null.
1await api.widget.findMany({2 filter: {3 quantity: {4 in: [10, 20],5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 in: [10, 20],5 },6 },7});
notIn
number filtering
The notIn
filter key is used to filter down to records where the number field is not equal to any of the provided numbers. notIn
does an exact comparison between each of the provided numbers to the number stored in the database, and will return records where the number field is not equal to any of the provided numbers. notIn
will also return records where the stored number is null.
1await api.widget.findMany({2 filter: {3 quantity: {4 notIn: [10, 20],5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 notIn: [10, 20],5 },6 },7});
lessThan
and lessThanOrEqual
number filtering
The lessThan
number key is used to filter down to records where the number field is less than a given number.
1await api.widget.findMany({2 filter: {3 quantity: {4 lessThan: 10,5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 lessThan: 10,5 },6 },7});
Similarly, the lessThanOrEqual
filter key is used to filter down to records where the number field is less than or equal to a given number.
1await api.widget.findMany({2 filter: {3 quantity: {4 lessThanOrEqual: 10,5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 lessThanOrEqual: 10,5 },6 },7});
greaterThan
and greaterThanOrEqual
number filtering
The greaterThan
filter key is used to filter down to records where the number field is greater than a given number.
1await api.widget.findMany({2 filter: {3 quantity: {4 greaterThan: 10,5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 greaterThan: 10,5 },6 },7});
Similarly, the greaterThanOrEqual
filter key is used to filter down to records where the number field is greater than or equal to a given number.
1await api.widget.findMany({2 filter: {3 quantity: {4 greaterThanOrEqual: 10,5 },6 },7});
1await api.widget.findMany({2 filter: {3 quantity: {4 greaterThanOrEqual: 10,5 },6 },7});
Filtering on boolean fields
boolean fields can be filtered to return only records with the boolean set to true
, false
, or where the value is set
to anything at all.
For example, we can check if the isPublished
boolean field is set to true with equals: true
:
1await api.posts.findMany({2 filter: {3 isPublished: {4 equals: true,5 },6 },7});
1await api.posts.findMany({2 filter: {3 isPublished: {4 equals: true,5 },6 },7});
Or find those that are not published with equals: false
:
1await api.posts.findMany({2 filter: {3 isPublished: {4 equals: false,5 },6 },7});
1await api.posts.findMany({2 filter: {3 isPublished: {4 equals: false,5 },6 },7});
The list of supported filter keys for boolean fields is:
equals
notEquals
isSet
equals
boolean filtering
The equals
filter key is used to filter down to records where the boolean field is equal to true or false. equals
will only return records where the stored boolean value matches the provided one.
1await api.widget.findMany({2 filter: {3 isPublished: {4 equals: true,5 },6 },7});
1await api.widget.findMany({2 filter: {3 isPublished: {4 equals: true,5 },6 },7});
notEquals
boolean filtering
The notEquals
filter key is used to filter down to records where the boolean field is set to anything other than a given boolean. notEquals
checks if the incoming boolean is exactly equal to the stored boolean, and will only return records where that is false. This can include records where the stored value is set to null
.
1await api.widget.findMany({2 filter: {3 isPublished: {4 notEquals: true,5 },6 },7});
1await api.widget.findMany({2 filter: {3 isPublished: {4 notEquals: true,5 },6 },7});
isSet
boolean filtering
The isSet
filter key is used to filter down to records where the boolean field is set to anything other than null
. isSet
will only return records where the value is not null
.
1await api.widget.findMany({2 filter: {3 isPublished: {4 isSet: true,5 },6 },7});
1await api.widget.findMany({2 filter: {3 isPublished: {4 isSet: true,5 },6 },7});
isSet
can also be used to check for null by passing isSet: false
.
1await api.widget.findMany({2 filter: {3 isPublished: {4 isSet: false,5 },6 },7});
1await api.widget.findMany({2 filter: {3 isPublished: {4 isSet: false,5 },6 },7});
Filtering on date / time fields
The date / time field type supports filtering on date-time fields. Date-time fields can be filtered by null-ness, equality, and by date range.
For example, we can filter a post model by the createdAt
date / time field to get all posts written in the past week:
1const oneWeekAgo = new Date(Date.now() - 604800000);2await api.post.findMany({3 filter: {4 createdAt: {5 after: oneWeekAgo,6 },7 },8});
1const oneWeekAgo = new Date(Date.now() - 604800000);2await api.post.findMany({3 filter: {4 createdAt: {5 after: oneWeekAgo,6 },7 },8});
Date times can be provided to the filter API as Date
objects or as ISO 8601 date-time strings.
1// all datetime filters support being passed real `Date` objects2await api.post.findMany({3 filter: {4 createdAt: {5 after: new Date("2024-01-01T00:00:00Z"),6 },7 },8});910// and also support being passed ISO 8601 date-time strings11await api.post.findMany({12 filter: {13 createdAt: {14 after: "2024-01-01T00:00:00Z",15 },16 },17});
1// all datetime filters support being passed real `Date` objects2await api.post.findMany({3 filter: {4 createdAt: {5 after: new Date("2024-01-01T00:00:00Z"),6 },7 },8});910// and also support being passed ISO 8601 date-time strings11await api.post.findMany({12 filter: {13 createdAt: {14 after: "2024-01-01T00:00:00Z",15 },16 },17});
DateTime objects are only stored to the nearest millisecond. If you are filtering with smaller increments of time, such as nanoseconds, the value will be truncated to only include milliseconds.
The full list of supported filters on date / time fields are:
equals
date-time filtering
The equals
filter key is used to filter down to records where the date / time field is equal to a given date-time. equals
does an exact match to check if the incoming date-time is exactly equal to the stored date-time, and will only return records where that is true.
1await api.post.findMany({2 filter: {3 createdAt: {4 equals: "2023-07-15T10:00:00Z",5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 equals: "2023-07-15T10:00:00Z",5 },6 },7});
notEquals
date-time filtering
The notEquals
filter key is used to filter down to records where the date / time field is set to anything other than a given date-time. notEquals
does an exact match to check if the incoming date-time is exactly equal to the stored date-time, and will only return records where that is false.
1await api.post.findMany({2 filter: {3 createdAt: {4 notEquals: "2023-07-15T10:00:00Z",5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 notEquals: "2023-07-15T10:00:00Z",5 },6 },7});
isSet
date-time filtering
The isSet
filter key is used to filter down to records where the date / time field is set to anything other than null
. isSet
will only return records where the value is not null
.
1await api.post.findMany({2 filter: {3 createdAt: {4 isSet: true,5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 isSet: true,5 },6 },7});
isSet
can also be used to check for null by passing isSet: false
.
1await api.post.findMany({2 filter: {3 createdAt: {4 isSet: false,5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 isSet: false,5 },6 },7});
in
date-time filtering
The in
filter key is used to filter down to records where the date / time field is exactly equal to one of the provided date-times. in
does an exact comparison between each of the provided date-times to the date-time stored in the database, and will return records where the date-time field is equal to any of the provided date-times. The in
filter will never return records where the stored date-time is null.
1await api.post.findMany({2 filter: {3 createdAt: {4 in: ["2023-07-15T10:00:00Z", "2023-07-16T12:00:00Z"],5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 in: ["2023-07-15T10:00:00Z", "2023-07-16T12:00:00Z"],5 },6 },7});
notIn
date-time filtering
The notIn
filter key is used to filter down to records where the date / time field is not equal to any of the provided date-times. notIn
does an exact comparison between each of the provided date-times to the date-time stored in the database, and will return records where the date-time field is not equal to any of the provided date-times. notIn
will also return records where the stored date-time is null.
1await api.post.findMany({2 filter: {3 createdAt: {4 notIn: ["2023-07-15T10:00:00Z", "2023-07-16T12:00:00Z"],5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 notIn: ["2023-07-15T10:00:00Z", "2023-07-16T12:00:00Z"],5 },6 },7});
lessThan
and lessThanOrEqual
date-time filtering
The lessThan
date / time key is used to filter down to records where the date / time field is less than a given date-time.
1await api.post.findMany({2 filter: {3 createdAt: {4 lessThan: "2023-07-15T10:00:00Z",5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 lessThan: "2023-07-15T10:00:00Z",5 },6 },7});
Similarly, the lessThanOrEqual
filter key is used to filter down to records where the date / time field is less than or equal to a given date-time.
1await api.post.findMany({2 filter: {3 createdAt: {4 lessThanOrEqual: "2023-07-15T10:00:00Z",5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 lessThanOrEqual: "2023-07-15T10:00:00Z",5 },6 },7});
greaterThan
and greaterThanOrEqual
date-time filtering
The greaterThan
filter key is used to filter down to records where the date / time field is greater than a given date-time.
1await api.post.findMany({2 filter: {3 createdAt: {4 greaterThan: "2023-07-15T10:00:00Z",5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 greaterThan: "2023-07-15T10:00:00Z",5 },6 },7});
Similarly, the greaterThanOrEqual
filter key is used to filter down to records where the date / time field is greater than or equal to a given date-time.
1await api.post.findMany({2 filter: {3 createdAt: {4 greaterThanOrEqual: "2023-07-15T10:00:00Z",5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 greaterThanOrEqual: "2023-07-15T10:00:00Z",5 },6 },7});
before
date-time filtering
The before
filter key is an alias for the lessThan
filter, used to filter down to records where the date / time field is before a given date-time.
1await api.post.findMany({2 filter: {3 createdAt: {4 before: "2023-07-15T10:00:00Z",5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 before: "2023-07-15T10:00:00Z",5 },6 },7});
after
date-time filtering
The after
filter key is an alias for the greaterThan
filter, used to filter down to records where the date / time field is after a given date-time.
1await api.post.findMany({2 filter: {3 createdAt: {4 after: "2023-07-15T10:00:00Z",5 },6 },7});
1await api.post.findMany({2 filter: {3 createdAt: {4 after: "2023-07-15T10:00:00Z",5 },6 },7});
Filtering on idfields
The id field type supports filtering on ID fields. IDs can be filtered by null-ness, equality, and by range.
For example, we can filter a student model by the id
field to get all students with specific IDs:
1await api.student.findMany({2 filter: {3 id: {4 in: ["1", "2", "3"],5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 in: ["1", "2", "3"],5 },6 },7});
IDs can be passed as strings or numbers and Gadget will ensure the types are converted before comparison.
The full list of supported filters on id fields are:
equals
ID filtering
The equals
filter key is used to filter down to records where the id field is equal to a given ID. equals
does an exact match to check if the incoming ID is exactly equal to the stored ID, and will only return records where that is true.
1await api.student.findMany({2 filter: {3 id: {4 equals: "1",5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 equals: "1",5 },6 },7});
notEquals
ID filtering
The notEquals
filter key is used to filter down to records where the id field is set to anything other than a given ID. notEquals
does an exact match to check if the incoming ID is exactly equal to the stored ID, and will only return records where that is false.
1await api.student.findMany({2 filter: {3 id: {4 notEquals: "1",5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 notEquals: "1",5 },6 },7});
isSet
ID filtering
The isSet
filter key is used to filter down to records where the id field is set to anything other than null
. isSet
will only return records where the value is not null
.
1await api.student.findMany({2 filter: {3 id: {4 isSet: true,5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 isSet: true,5 },6 },7});
isSet
can also be used to check for null by passing isSet: false
.
1await api.student.findMany({2 filter: {3 id: {4 isSet: false,5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 isSet: false,5 },6 },7});
in
ID filtering
The in
filter key is used to filter down to records where the id field is exactly equal to one of the provided IDs. in
does an exact comparison between each of the provided IDs to the ID stored in the database, and will return records where the ID field is equal to any of the provided IDs. The in
filter will never return records where the stored ID is null.
1await api.student.findMany({2 filter: {3 id: {4 in: ["1", "2", "3"],5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 in: ["1", "2", "3"],5 },6 },7});
notIn
ID filtering
The notIn
filter key is used to filter down to records where the id field is not equal to any of the provided IDs. notIn
does an exact comparison between each of the provided IDs to the ID stored in the database, and will return records where the ID field is not equal to any of the provided IDs. notIn
will also return records where the stored ID is null.
1await api.student.findMany({2 filter: {3 id: {4 notIn: ["1", "2", "3"],5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 notIn: ["1", "2", "3"],5 },6 },7});
lessThan
and lessThanOrEqual
ID filtering
The lessThan
id key is used to filter down to records where the id field is less than a given ID.
1await api.student.findMany({2 filter: {3 id: {4 lessThan: "10",5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 lessThan: "10",5 },6 },7});
Similarly, the lessThanOrEqual
filter key is used to filter down to records where the id field is less than or equal to a given ID.
1await api.student.findMany({2 filter: {3 id: {4 lessThanOrEqual: "10",5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 lessThanOrEqual: "10",5 },6 },7});
greaterThan
and greaterThanOrEqual
ID filtering
The greaterThan
filter key is used to filter down to records where the id field is greater than a given ID.
1await api.student.findMany({2 filter: {3 id: {4 greaterThan: "10",5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 greaterThan: "10",5 },6 },7});
Similarly, the greaterThanOrEqual
filter key is used to filter down to records where the id field is greater than or equal to a given ID.
1await api.student.findMany({2 filter: {3 id: {4 greaterThanOrEqual: "10",5 },6 },7});
1await api.student.findMany({2 filter: {3 id: {4 greaterThanOrEqual: "10",5 },6 },7});
Filtering on enum Fields
The enum field type supports filtering on enum fields, which can store predefined string values. Enum fields can be filtered by null-ness, equality, inequality, and containment of values when multiple selections are allowed.
The following filters are supported on enum fields:
isSet
enum filtering
The isSet
filter key is used to filter down to records where the enum field is set to anything other than null
. isSet
will only return records where the value is not null
.
1await api.tickets.findMany({2 filter: {3 status: {4 isSet: true,5 },6 },7});
1await api.tickets.findMany({2 filter: {3 status: {4 isSet: true,5 },6 },7});
isSet
can also be used to check for null by passing isSet: false
.
1await api.tickets.findMany({2 filter: {3 status: {4 isSet: false,5 },6 },7});
1await api.tickets.findMany({2 filter: {3 status: {4 isSet: false,5 },6 },7});
equals
enum filtering
The equals
filter key is used to filter down to records where the enum field is equal to a given value. equals
does an exact match to check if the incoming value is exactly equal to the stored value and will only return records where that is true.
1await api.tickets.findMany({2 filter: {3 status: {4 equals: "in-progress",5 },6 },7});
1await api.tickets.findMany({2 filter: {3 status: {4 equals: "in-progress",5 },6 },7});
For enum fields where the allowMultiple
option is true, the stored value is an array of strings. equals
must be passed an array of strings for these fields, and will only return records where the stored value is an array containing exactly the provided values.
equals
on enum fields where the allowMultiple
option is true is case sensitive and order sensitive. It will only
return records where the stored value is an array containing exactly the provided values in the provided order. If you need to check
partial matches, use the contains
filter.
1await api.client.findMany({2 filter: {3 communication: {4 equals: ["SMS", "Email"],5 },6 },7});
1await api.client.findMany({2 filter: {3 communication: {4 equals: ["SMS", "Email"],5 },6 },7});
This filter would match a record like { communication: ["SMS", "Email"] }
. This filter would not match records like:
{ communication: ["SMS"] }
because there's an element missing{ communication: ["Email", "SMS"] }
because the order is wrong{ communication: ["sms", "email"] }
because the casing doesn't match{ communication: ["SMS", "Email", "In-Person"] }
because there is an extra element
notEquals
enum filtering
The notEquals
filter key is used to filter down to records where the enum field is set to anything other than a given value. notEquals
does an exact match to check if the incoming value is exactly equal to the stored value and will only return records where that is false.
1await api.tickets.findMany({2 filter: {3 status: {4 notEquals: "backlog",5 },6 },7});
1await api.tickets.findMany({2 filter: {3 status: {4 notEquals: "backlog",5 },6 },7});
For enum fields where the allowMultiple
option is true, the stored value is an array of strings. notEquals
must be passed an array of strings for these fields, and will only return records where the stored value does not exactly equal the provided values.
1await api.client.findMany({2 filter: {3 communication: {4 notEquals: ["SMS", "Email"],5 },6 },7});
1await api.client.findMany({2 filter: {3 communication: {4 notEquals: ["SMS", "Email"],5 },6 },7});
This filter would not match a record like { communication: ["SMS", "Email"] }
. This filter will match records like:
{ communication: null }
because null isn't equal to the provided value{ communication: ["SMS"] }
because there's an element missing{ communication: ["Email", "SMS"] }
because the order is wrong{ communication: ["sms", "email"] }
because the casing doesn't match{ communication: ["SMS", "Email", "In-Person"] }
because there is an extra element
in
enum filtering
The in
filter key is used to filter down to records where the enum field is exactly equal to one of the provided values. in
does an exact comparison between each of the provided values to the value stored in the database and will return records where the enum field is equal to any of the provided values. The in
filter will never return records where the stored value is null.
1await api.tickets.findMany({2 filter: {3 status: {4 in: ["backlog", "in-progress"],5 },6 },7});
1await api.tickets.findMany({2 filter: {3 status: {4 in: ["backlog", "in-progress"],5 },6 },7});
contains
enum filtering
When the allowMultiple
field configuration is turned on for a enum field, the contains
filter is available for checking if the stored record value contains one or more provided values. contains
checks if all provided filter values are present but does not perform an exact match, so there can be more stored values.
1await api.client.findMany({2 filter: {3 communication: {4 contains: ["SMS", "Email"],5 },6 },7});
1await api.client.findMany({2 filter: {3 communication: {4 contains: ["SMS", "Email"],5 },6 },7});
This filter would match records like:
{ communication: ["SMS", "Email"] }
{ communication: ["Email", "SMS"] }
{ communication: ["SMS", "Email", "In-Person"] }
This filter would not match records like:
{ communication: ["SMS"] }
because there's an element missing{ communication: ["sms", "email"] }
because the casing doesn't match
This will return all client
records that have both the "Sms" and "Email" options selected. Because this is not an exact match, this will also include client
records that have additional options selected beyond "Sms" and "Email".
Filtering on json Fields
The json field type supports filtering on JSON fields. JSON fields can be filtered by their structure, values, and presence.
For example, we can filter a system setup model by the configuration
json field to get all setups where the JSON contains a specific key-value pair:
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 matches: { foo: "bar" },5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 matches: { foo: "bar" },5 },6 },7});
We can also filter on JSON arrays stored in json fields, for example, filtering by the tags
field on a product model:
1await api.product.findMany({2 filter: {3 tags: {4 matches: "Accessory",5 },6 },7});
1await api.product.findMany({2 filter: {3 tags: {4 matches: "Accessory",5 },6 },7});
The full list of supported filters on json fields are:
When filtering on json fields, you will almost always want to use a matches
filter.
isSet
JSON filtering
The isSet
filter key is used to filter down to records where the json field is set to anything other than null
. isSet
will only return records where the value is not null
.
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 isSet: true,5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 isSet: true,5 },6 },7});
isSet
can also be used to check for null by passing isSet: false
.
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 isSet: false,5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 isSet: false,5 },6 },7});
equals
JSON filtering
The equals
filter key is used to filter down to records where the json field is exactly equal to a given JSON value. equals
does an exact match to check if the incoming JSON is exactly equal to the stored JSON, and will only return records where that is true.
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 equals: { foo: "bar" },5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 equals: { foo: "bar" },5 },6 },7});
notEquals
JSON filtering
The notEquals
filter key is used to filter down to records where the json field is set to anything other than a given JSON value. notEquals
does an exact match to check if the incoming JSON is exactly equal to the stored JSON, and will only return records where that is false.
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 notEquals: { foo: "bar" },5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 notEquals: { foo: "bar" },5 },6 },7});
in
JSON filtering
The in
filter key is used to filter down to records where the json field is exactly equal to one of the provided JSON values. in
does an exact comparison between each of the provided JSON values to the JSON stored in the database, and will return records where the JSON field is equal to any of the provided values. The in
filter will never return records where the stored JSON is null.
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 in: [{ foo: "bar" }, { fizz: "buzz" }],5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 in: [{ foo: "bar" }, { fizz: "buzz" }],5 },6 },7});
This filter would match records like:
{ configuration: { foo: "bar" } }
{ configuration: { fizz: "buzz" } }
This filter would not match records like:
{ configuration: { foo: "something else" } }
because the value offoo
is notbar
{ configuration: { foo: "bar", fizz: "buzz" } }
because the overall value is not equal to either provided value{ configuration: { foo: { bar: "baz" } } }
because the value offoo
is not a string{ configuration: null }
because the whole value is missing
notIn
JSON filtering
The notIn
filter key is used to filter down to records where the json field is not equal to any of the provided JSON values. notIn
does an exact comparison between each of the provided JSON values to the JSON stored in the database, and will return records where the JSON field is not equal to any of the provided values. notIn
will also return records where the stored JSON is null.
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 notIn: [{ foo: "bar" }, { fizz: "buzz" }],5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 notIn: [{ foo: "bar" }, { fizz: "buzz" }],5 },6 },7});
matches
JSON filtering
The matches
filter key filters down to records where the json field contains the provided JSON structure as a subset. The matches
filter uses the @>
operator under the hood in Postgres.
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 matches: { foo: "bar" },5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 matches: { foo: "bar" },5 },6 },7});
This filter would match records like:
{ configuration: { foo: "bar" } }
{ configuration: { foo: "bar", fizz: "buzz" } }
This filter would not match records like:
{ configuration: { foo: "buzz" } }
because the value offoo
is notbar
{ configuration: { foo: { bar: "buzz" } } }
because the value offoo
is not a string{ configuration: { one: "two" } }
because the keyfoo
is missing{ configuration: null }
because the whole value is missing
The matches
filter can be used to match nested structures as well:
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 matches: { foo: { bar: "baz" } },5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 matches: { foo: { bar: "baz" } },5 },6 },7});
This will return records where the configuration field contains a nested structure matching { foo: { bar: "baz" } }
, allowing extra keys at either level.
The matches
filter can also be used to match nested arrays within the JSON structure. This allows you to filter records where a JSON field contains an array with specific elements.
For example, to get a page of system setup records that have the configuration containing a foo
array with the element "bar"
:
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 matches: { foo: ["bar"] },5 },6 },7});
1await api.systemSetup.findMany({2 filter: {3 configuration: {4 matches: { foo: ["bar"] },5 },6 },7});
This filter will match records where the configuration
field contains an array with the element "bar"
in the foo
array. The array can contain additional elements, but it must include "bar"
as one of its elements.
For example, this filter would match records like:
{ configuration: { foo: ["bar"] } }
{ configuration: { foo: ["bar", "baz"] } }
{ configuration: { foo: ["baz", "bar"] } }
This filter would not match records like:
{ configuration: { foo: ["baz"] } }
because the array does not contain"bar"
{ configuration: { foo: [] } }
because the array is empty{ configuration: { foo: null } }
because the array is missing{ configuration: { foo: "bar" } }
because the value is not an array
Filtering on vector fields
vector fields store an array of floats, called vectors, in the database. Vector filters can be used to only return records that have a vector field similar to an input vector.
Most often, vector filters are paired with vector sorts to find vectors that are most similar to an input vector. Read more about vector sorts here. Vector filters allow you to cap the maximum vector distance in a vector similarity search.
Filtering on vector similarity
Vector similarity features allow you to filter records down to only those that have a stored vector that is similar to an input vector. Vector similarity allows you to implement semantic search.
To filter based on similarity, you must provide an input vector to compare all the stored vectors against, and a similarity threshold to filter using. When you query, each stored vector is compared to the provided vector using the operator you've selected, and only those passing the threshold are returned. Vector similarity searches support two measures of similarity: cosine similarity and L2 distance.
For example, we can filter the document
model to return only records with a vector that is similar to the input vector [1, 2, 3]
in the embedding
field:
1const records = await api.document.findMany({2 filter: {3 embedding: {4 cosineSimilarity: {5 to: [1, 2, 3],6 greaterThan: 0.8,7 },8 },9 },10});
1const records = await api.document.findMany({2 filter: {3 embedding: {4 cosineSimilarity: {5 to: [1, 2, 3],6 greaterThan: 0.8,7 },8 },9 },10});
This will return records from the document
model that have a vector stored in the embedding
field that is similar to the input vector [1, 2, 3]
as measured by cosine similarity.
When filtering vectors, the input vector in the to
field must have the same dimensions (length) as the stored vector. Trying to filter
by a vector with different dimensions will throw an error and not return any data.
cosineSimilarity
vector filtering
cosineSimilarity
filters compute the cosine similarity between each stored vector and the input vector and then return records where the cosine similarity passes the provided threshold. The threshold can be a greaterThan
threshold, which will return only records that are more similar than the threshold in the result, or a lessThan
threshold, which will return vectors that are less similar than the threshold.
For more on the math behind cosine similarity and other vector distance measures, see this great post.
For example, to return only vectors that have a cosine similarity of at least 0.8
to a given input vector, you can use the cosineSimilarity
filter with an input vector:
1const records = await api.document.findMany({2 filter: {3 embedding: {4 cosineSimilarity: {5 to: [1, 2, 3],6 greaterThan: 0.8,7 },8 },9 },10});
1const records = await api.document.findMany({2 filter: {3 embedding: {4 cosineSimilarity: {5 to: [1, 2, 3],6 greaterThan: 0.8,7 },8 },9 },10});
Usually, this similarity filter would be paired with a similarity sort to return the most similar vectors first:
1const records = await api.document.findMany({2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3],5 },6 },7 filter: {8 embedding: {9 cosineSimilarity: {10 to: [1, 2, 3],11 greaterThan: 0.8,12 },13 },14 },15});
1const records = await api.document.findMany({2 sort: {3 embedding: {4 cosineSimilarityTo: [1, 2, 3],5 },6 },7 filter: {8 embedding: {9 cosineSimilarity: {10 to: [1, 2, 3],11 greaterThan: 0.8,12 },13 },14 },15});
The threshold for vector filtering can be one of lessThan
, lessThanOrEqual
, greaterThan
, or greaterThanOrEqual
. greaterThan
means that the vectors must be at least this similar or more so (close), and lessThan
means that the vectors must be at most this similar or less so (far).
For example, you can filter to find the records that have at most a similarity of 0.1 from a stored set:
1const records = await api.document.findMany({2 filter: {3 embedding: {4 cosineSimilarity: {5 to: [1, 2, 3],6 lessThan: 0.1,7 },8 },9 },10});
1const records = await api.document.findMany({2 filter: {3 embedding: {4 cosineSimilarity: {5 to: [1, 2, 3],6 lessThan: 0.1,7 },8 },9 },10});
l2Distance
vector filtering
vector fields can be filtered based on their L2 (Euclidean) distance to an input vector. The l2Distance
filter computes
the l2 distance between each stored vector and the input vector and then only returns records where the distance passes the provided
threshold. The threshold can be a greaterThan
threshold, which will return only records that are more similar than the threshold in the
result, or a lessThan
threshold, which will return vectors that are less similar than the threshold.
For more on the math behind L2 distance and other vector distance measures, see this great post.
To return only vectors that have an L2 (Euclidian) distance of less than 1
to a given input vector, you can use the l2Distance
filter:
1await api.someModel.findMany({2 filter: {3 embedding: {4 l2Distance: {5 to: [1, 0, 1],6 lessThanOrEqualTo: 1,7 },8 },9 },10});
1await api.someModel.findMany({2 filter: {3 embedding: {4 l2Distance: {5 to: [1, 0, 1],6 lessThanOrEqualTo: 1,7 },8 },9 },10});
The threshold for vector filtering can be one of lessThan
, lessThanOrEqual
, greaterThan
, or greaterThanOrEqual
. greaterThan
means that the vectors must be at least this similar or more so (close), and lessThan
means that the vectors must be at most this similar or less so (far).
For example, you can filter to find the records that have at most a similarity of 0.1 from a stored set:
1const records = await api.document.findMany({2 filter: {3 embedding: {4 l2Distance: {5 to: [1, 2, 3],6 lessThan: 0.1,7 },8 },9 },10});
1const records = await api.document.findMany({2 filter: {3 embedding: {4 l2Distance: {5 to: [1, 2, 3],6 lessThan: 0.1,7 },8 },9 },10});
equals
vector filtering
You can filter vector fields to only return records where a record's stored vector is exactly equal to a provided vector using equals
. equals
does an exact comparison, which means every element of the vector must be identical between the stored value and the provided value for the record to pass the filter. Vector equality does not compute similarity or distance.
For example, to filter to only records that have a vector set to [1,2,3]
, you can use the equals
filter:
1await api.document.findMany({2 filter: {3 embedding: {4 equals: [1, 2, 3],5 },6 },7});
1await api.document.findMany({2 filter: {3 embedding: {4 equals: [1, 2, 3],5 },6 },7});
isSet
vector filtering
Vector fields can be filtered down to only the records that have a vector set at all with isSet: true
, or only those records without a vector set with isSet: false
.
For example, to filter to only records that have a vector field named embedding
set, you can use the isSet: true
filter:
1await api.document.findMany({2 filter: {3 embedding: {4 isSet: true,5 },6 },7});
1await api.document.findMany({2 filter: {3 embedding: {4 isSet: true,5 },6 },7});
You could also filter to only records without a vector set with isSet: false
:
1await api.document.findMany({2 filter: {3 embedding: {4 isSet: false,5 },6 },7});
1await api.document.findMany({2 filter: {3 embedding: {4 isSet: false,5 },6 },7});
Filtering on record state fields
record state fields can be filtered using the special inState
filter. This filter is unique to
the record state field type and allows you to filter for records that are in a specific state, which includes support for
nested states, like those used by the shopifyShop
model.
inState
state filters
The inState
filter returns only records that are currently in a specific state for their record state field. Some models have nested states, so the inState
filter uses a dot-separated state string to support filtering down on both parent and child StatefulSelect.
For example, you can filter down to only shopifyShop
records that are in the created.installed
state:
await api.shopifyShop.findMany({filter: {state: { inState: "created.installed" },},});
await api.shopifyShop.findMany({filter: {state: { inState: "created.installed" },},});
Or, if you want all created records regardless of substate, you can filter with inState: "created"
:
await api.shopifyShop.findMany({filter: {state: { inState: "created" },},});
await api.shopifyShop.findMany({filter: {state: { inState: "created" },},});
isSet
state filters
The isSet
filter allows checking for records where the state field is set.
For example, we can filter to only those shops that have a state currently stored in the database:
await api.shopifyShop.findMany({filter: {state: { isSet: true },},});
await api.shopifyShop.findMany({filter: {state: { isSet: true },},});
Or filter to records that currently have a null
state:
await api.shopifyShop.findMany({filter: {state: { isSet: false },},});
await api.shopifyShop.findMany({filter: {state: { isSet: false },},});
Filtering on role list fields
The role list field type supports filtering on role lists, which can store access control roles predefined for your Gadget app. Role list fields can be filtered by null-ness, equality, inequality, and containment of values when multiple selections are allowed.
The following filters are supported on role list fields:
You will often want to use contains
when filtering role list fields.
isSet
role list filtering
The isSet
filter key is used to filter down to records where the role list field is set to anything other than null
. isSet
will only return records where the value is not null
.
1await api.user.findMany({2 filter: {3 roles: {4 isSet: true,5 },6 },7});
1await api.user.findMany({2 filter: {3 roles: {4 isSet: true,5 },6 },7});
isSet
can also be used to check for null by passing isSet: false
.
1await api.user.findMany({2 filter: {3 roles: {4 isSet: false,5 },6 },7});
1await api.user.findMany({2 filter: {3 roles: {4 isSet: false,5 },6 },7});
equals
role list filtering
The equals
filter key is used to filter down to records where the role list field is equal to a given value. equals
does an exact match to check if the incoming value is exactly equal to the stored value and will only return records where that is true.
1await api.user.findMany({2 filter: {3 roles: {4 equals: ["signed-in"],5 },6 },7});
1await api.user.findMany({2 filter: {3 roles: {4 equals: ["signed-in"],5 },6 },7});
role list fields store an array of strings. equals
must be passed an array of strings for these fields, and will
only return records where the stored value is an array containing exactly the provided values.
1await api.user.findMany({2 filter: {3 roles: {4 equals: ["signed-in", "admin"],5 },6 },7});
1await api.user.findMany({2 filter: {3 roles: {4 equals: ["signed-in", "admin"],5 },6 },7});
This filter would match a record like { roles: ["signed-in", "admin"] }
. This filter would not match records like:
{ roles: ["signed-in"] }
because there's an element missing{ roles: ["admin", "signed-in"] }
because the order is wrong{ roles: ["Signed-In", "Admin"] }
because the casing doesn't match{ roles: ["signed-in", "admin", "superuser"] }
because there is an extra element
notEquals
role list filtering
The notEquals
filter key is used to filter down to records where the role list field is set to anything other than a given value. notEquals
does an exact match to check if the incoming value is exactly equal to the stored value and will only return records where that is false.
1await api.user.findMany({2 filter: {3 roles: {4 notEquals: ["unauthenticated"],5 },6 },7});
1await api.user.findMany({2 filter: {3 roles: {4 notEquals: ["unauthenticated"],5 },6 },7});
role list fields store an array of strings. notEquals
must be passed an array of strings for these fields, and
will only return records where the stored value does not exactly equal the provided values.
1await api.user.findMany({2 filter: {3 roles: {4 notEquals: ["signed-in", "admin"],5 },6 },7});
1await api.user.findMany({2 filter: {3 roles: {4 notEquals: ["signed-in", "admin"],5 },6 },7});
This filter would not match a record like { roles: ["signed-in", "admin"] }
. This filter will match records like:
{ roles: null }
because null isn't equal to the provided value{ roles: ["signed-in"] }
because there's an element missing{ roles: ["admin", "signed-in"] }
because the order is wrong{ roles: ["Signed-In", "Admin"] }
because the casing doesn't match{ roles: ["signed-in", "admin", "superuser"] }
because there is an extra element
contains
role list filtering
The contains
filter is available for checking if stored role list record values contains one or more provided values. contains
checks if all provided filter values are present but does not perform an exact match, so there can be more stored values.
1await api.client.findMany({2 filter: {3 roles: {4 contains: ["signed-in", "admin"],5 },6 },7});
1await api.client.findMany({2 filter: {3 roles: {4 contains: ["signed-in", "admin"],5 },6 },7});
This filter would match records like:
{ roles: ["signed-in", "admin"] }
{ roles: ["admin", "signed-in"] }
{ roles: ["signed-in", "admin", "superuser"] }
This filter would not match records like:
{ roles: ["signed-in"] }
because there's an element missing{ roles: ["Signed-In", "Admin"] }
because the casing doesn't match
This will return all user
records that have both the "signed-in" and "admin" options selected. Because this is not an exact match, this will also include user
records that have additional roles beyond "signed-in" and "admin".
Filtering nulls with isSet
All the filter types allow you to filter for records where the value is set to something or set to null
using the isSet
filter. { isSet: true }
will only return records where the value is set (is not null
), and { isSet: false }
will only return records where the value is null
.
For example, we could filter a Post model to only find records where the publishDate
is set to something:
await api.post.findMany({filter: {publishDate: { isSet: true },},});
await api.post.findMany({filter: {publishDate: { isSet: true },},});
Or filter the Shopify Order model to find records where the customMetafield
field is currently null
:
await api.shopifyOrder.findMany({filter: {customMetafield: { isSet: false },},});
await api.shopifyOrder.findMany({filter: {customMetafield: { isSet: false },},});
Filtering models by a related model's properties
You can filter a query on a model by the properties of a related model by traversing the relationship. This is applicable to belongs to, has one, has many, and has many through relationships.
These relationship traversals in a filter can be chained up to a maximum of 2 steps, where each individual chain can only contain a single has many or has many through relationship.
Related model filtering is only available on Gadget framework versions 1.3.0+. Filtering on belongs to ID fields is available in all Gadget framework versions.
Filtering on related models is not supported on queries that also make use of the search
API.
Filtering on belongs to ID fields
You can filter on the relationship id field of the related model for belongs to relationships. This means you can use isSet
, equals
, or any of the other filter operations that would be valid on a id.
For example, if you simply wanted to filter for published post
s by author
with an ID of 1, you could:
1const posts = await api.post.findMany({2 filter: {3 authorId: {4 equals: 1,5 },6 },7});
1const posts = await api.post.findMany({2 filter: {3 authorId: {4 equals: 1,5 },6 },7});
isSet
can also be used on belongs to relationship fields directly to check if a relationship exists for a record.
1const posts = await api.post.findMany({2 filter: {3 author: {4 isSet: true,5 },6 },7});
1const posts = await api.post.findMany({2 filter: {3 author: {4 isSet: true,5 },6 },7});
Filtering across belongs to and has one relationships
You can filter on the single related record in a belongs to and has one relationship.
For example, if you have a blog application, you might have post
and comment
models, were post
has many comment
and comment
belongs to post
. You might want to query for comments on all blog posts who have a title starting with the letter X:
1const commentsForPostsStartingWithX = await api.comment.findMany({2 filter: {3 post: {4 title: {5 startsWith: "X",6 },7 },8 },9});
1const commentsForPostsStartingWithX = await api.comment.findMany({2 filter: {3 post: {4 title: {5 startsWith: "X",6 },7 },8 },9});
The relationship field on the queried model, post
, is used to filter on the related model's title
field.
You can also filter by relationships on the related model. For example, if post
has a related author
you can fetch all comments for Carl Weathers's blog posts:
1const commentsForCarlPosts = await api.comment.findMany({2 filter: {3 post: {4 author: {5 name: {6 equals: "Carl Weathers",7 },8 },9 },10 },11});
1const commentsForCarlPosts = await api.comment.findMany({2 filter: {3 post: {4 author: {5 name: {6 equals: "Carl Weathers",7 },8 },9 },10 },11});
Attempting to filter by a related field on author
will result in an error because the maximum number of related field filter steps (2) has been reached.
Filtering on has many and has many through relationships
Filter conditions on has many and has many through require the use of some:
or every:
to determine whether or not the filter condition across the relationship needs to be true for at least one related record or every related record, and they must immediately follow the relationship field name in a filter
statement.
The format looks like the following:
1await api.order.findMany({2 filter: {3 // name of the relationship field on order model4 lineItems: {5 // use some: or every: immediately after the has many (through) relationship6 every: {7 // field on the related model8 price: {9 // filter condition10 greaterThan: 20,11 },12 },13 },14 },15});
1await api.order.findMany({2 filter: {3 // name of the relationship field on order model4 lineItems: {5 // use some: or every: immediately after the has many (through) relationship6 every: {7 // field on the related model8 price: {9 // filter condition10 greaterThan: 20,11 },12 },13 },14 },15});
If only some of the related objects should satisfy the filter, use some:
.
For example, if you have two related models where each teacher
has many student
and you want to query for teachers that have some students with grades greater than or equal to 50:
Filter for teachers with some students that have a grade over 50JavaScript1const teachersWithAStudentPassing = await api.teacher.findMany({2 filter: {3 students: {4 // use some: on the relationship5 some: {6 grade: {7 greaterThanOrEqual: 50,8 },9 },10 },11 },12});
If a filter condition needs to be true on every related object, the every:
field can be used.
For example, if you want to get teachers whose students all have grades over 50, you could do the following:
1const teachersWithOnlyPassingStudents = await api.teacher.findMany({2 filter: {3 students: {4 // use every: on the relationship5 every: {6 grade: {7 greaterThanOrEqual: 50,8 },9 },10 },11 },12});
1const teachersWithOnlyPassingStudents = await api.teacher.findMany({2 filter: {3 students: {4 // use every: on the relationship5 every: {6 grade: {7 greaterThanOrEqual: 50,8 },9 },10 },11 },12});
The some
and every
fields can also be used when filtering across multiple relationships, for example, fetching blog posts that have some comments authored by Bill:
1const postsWithCommentsByBill = await api.post.findMany({2 filter: {3 comments: {4 // use some: and then filter by another relationship5 some: {6 author: {7 name: {8 equals: "Bill",9 },10 },11 },12 },13 },14});
1const postsWithCommentsByBill = await api.post.findMany({2 filter: {3 comments: {4 // use some: and then filter by another relationship5 some: {6 author: {7 name: {8 equals: "Bill",9 },10 },11 },12 },13 },14});
When there are no related records some:
will return false
and every:
will return true
.
Filtering by related models in GraphQL
You can also filter related models by the related model's attributes using GraphQL. For example, you could filter for author
records who live in Canada and include their blog posts
that are longer than 500 words:
GraphQL1query {2 authors(filter: { country: { equals: "Canada" } }) {3 edges {4 node {5 id6 name7 country8 posts(filter: { wordCount: { greaterThan: 500 } }) {9 edges {10 node {11 id12 title13 wordCount14 }15 }16 }17 }18 }19 }20}
This would return all authors along with their blog posts that have a word count greater than 500.
Unfilterable fields
Currently, Gadget doesn't support filtering for the following field types:
- file
- encrypted string
- password
- computed