modql is a set of types and utilities designed to structurally express model query filters (e.g., $eq: ..
$startsWith: ..
, $containsIn: [..]
) and list options (e.g., offset
, limit
, order_bys
). These can be easily represented in JSON.
In essence, it offers a MongoDB-like filter syntax that is storage-agnostic, has built-in support for sea-query, and can be expressed either in JSON or Rust types.
IMPORTANT: v0.4.0 is RELEASED: This release includes significant refactoring (retaining the same functionality but with cleaner naming and decoupled from sea-query) to allow
derive(Fields)
to providefield_names
andfield_refs
without requiring thewith-sea-query
feature.For more information, see CHANGELOG.md and MIGRATION-v03x-v04x.md.
- Marc Cámara for adding the Case Insensitive support and the
with-ilike
support for Postgresql. PR #3 - Andrii Yermakov for fixing a "null operator for numbers" PR #2
/// This is the model entity, annotated with Fields.
#[derive(Debug, Clone, modql::field::Fields, FromRow, Serialize)]
pub struct Task {
pub id: i64,
pub project_id: i64,
pub title: String,
pub done: bool,
}
/// This is a Filter, with the modql::filter::OpVals... properties
#[derive(modql::filter::FilterNodes, Deserialize, Default, Debug)]
pub struct TaskFilter {
project_id: Option<OpValsInt64>,
title: Option<OpValsString>,
done: Option<OpValsBool>,
}
// -- Parsing JSON representation to TaskFilter
// This condition requires all of these rules to match (AND).
let list_filter: TaskFilter = serde_json::from_value(json! ({
"project_id": 123,
"title": {"$startsWith": "Hello", "$contains": "World"} ,
}))?;
// -- modql ListOptions
let list_options: modql::filter::ListOptions =
serde_json::from_value(json! ({
"offset": 0,
"limit": 2,
"order_bys": "!title" // ! for descending
}))?;
// -- Building a sea-query select query with those condition
// Convert the TaskFilter into sea-query condition
let cond: sea_query::Condition = filter.try_into()?;
let mut query = sea_query::Query::select();
// Select only the columns corresponding to the task type.
// This is determined by the modql::field::Fields annotation.
query.from(task_table).columns(Task::sea_column_refs());
// Add the condition from the filter
query.cond_where(cond);
// Apply the list options
list_options.apply_to_sea_query(&mut query);
// and execute query
let (sql, values) = query.build_sqlx(PostgresQueryBuilder);
let entities = sqlx::query_as_with::<_, E, _>(&sql, values)
.fetch_all(db)
.await?;
This crate is instrumental for JSON-RPC or other types of model APIs (e.g., the joql pattern).
IMPORTANT v0.3.x represents the new version of modql, featuring the with-sea-query
feature set. It is utilized in the rust10x web-app production code blueprint Episode 02.
This version is somewhat incompatible with v0.2.x, mainly due to module reorganization. If you are using the rust10x/awesomeapp desktop app, please stick with v0.2.x for the time being. I plan to upgrade the codebase to v0.3.x soon.
OpVal[Type]
is a filter unit that allows the expression of an operator on a given value for a specified type.
The corresponding OpVals[Type]
, with an "s", is typically used in filter properties, as it permits multiple operators for the same field.
The basic JSON representation of an OpVal[Type]
follows the {field_name: {$operator1: value1, $operator2: value2}}
format. For example:
{
"title": {"$startsWith": "Hello", "$contains": "World"}
}
This expresses the conditions that both "startsWith" and "contains" must be met.
The following tables show the list of possible operators for each type.
Operator | Meaning | Example |
---|---|---|
$eq |
Exact match with one value | {name: {"$eq": "Jon Doe"}} same as {name: "Jon Doe"} |
$in |
Exact match with within a list of values (or) | {name: {"$in": ["Alice", "Jon Doe"]}} |
$not |
Exclude any exact match | {name: {"$not": "Jon Doe"}} |
$notIn |
Exclude any exact withing a list | {name: {"$notIn": ["Jon Doe"]}} |
$contains |
For string, does a contains | {name: {"$contains": "Doe"}} |
$containsAny |
For string, match if contained in any of items | {name: {"$containsAny": ["Doe", "Ali"]}} |
$containsAll |
For string, match if all items are in the src | {name: {"$containsAll": ["Hello", "World"]}} |
$notContains |
Does not contain | {name: {"$notContains": "Doe"}} |
$notContainsAny |
Does not call any of (none is contained) | {name: {"$notContainsAny": ["Doe", "Ali"]}} |
$startsWith |
For string, does a startsWith | {name: {"$startsWith": "Jon"}} |
$startsWithAny |
For string, match if startsWith in any of items | {name: {"$startsWithAny": ["Jon", "Al"]}} |
$notStartsWith |
Does not start with | {name: {"$notStartsWith": "Jon"}} |
$notStartsWithAny |
Does not start with any of the items | {name: {"$notStartsWithAny": ["Jon", "Al"]}} |
$endsWith |
For string, does and end with | {name: {"$endsWithAny": "Doe"}} |
$endsWithAny |
For string, does a contains (or) | {name: {"$endsWithAny": ["Doe", "ice"]}} |
$notEndsWith |
Does not end with | {name: {"$notEndsWithAny": "Doe"}} |
$notEndsWithAny |
Does not end with any of the items | {name: {"$notEndsWithAny": ["Doe", "ice"]}} |
$lt |
Lesser Than | {name: {"$lt": "C"}} |
$lte |
Lesser Than or = | {name: {"$lte": "C"}} |
$gt |
Greater Than | {name: {"$gt": "J"}} |
$gte |
Greater Than or = | {name: {"$gte": "J"}} |
$null |
If the value is null | {name: {"$null": true}} |
$containsCi |
For string, does a contains in a case-insensitive way | {name: {"$containsCi": "doe"}} |
$notContainsCi |
Does not contain in a case-insensitive way | {name: {"$notContainsCi": "doe"}} |
$startsWithCi |
For string, does a startsWith in a case-insensitive way | {name: {"$startsWithCi": "jon"}} |
$notStartsWithCi |
Does not start with in a case-insensitive way | {name: {"$notStartsWithCi": "jon"}} |
$endsWithCi |
For string, does an endsWith in a case-insensitive way | {name: {"$endsWithCi": "doe"}} |
$notEndsWithCi |
Does not end with in a case-insensitive way | {name: {"$notEndsWithCi": "doe"}} |
$ilike |
For string, does a contains in a case-insensitive way. Needs with-ilike flag enabled in Cargo.toml |
{name: {"$ilike": "DoE"}} |
Operator | Meaning | Example |
---|---|---|
$eq |
Exact match with one value | {age: {"$eq": 24}} same as {age: 24} |
$in |
Exact match with within a list of values (or) | {age: {"$in": [23, 24]}} |
$not |
Exclude any exact match | {age: {"$not": 24}} |
$notIn |
Exclude any exact withing a list | {age: {"$notIn": [24]}} |
$lt |
Lesser Than | {age: {"$lt": 30}} |
$lte |
Lesser Than or = | {age: {"$lte": 30}} |
$gt |
Greater Than | {age: {"$gt": 30}} |
$gte |
Greater Than or = | {age: {"$gte": 30}} |
$null |
If the value is null | {name: {"$null": true}} |
Operator | Meaning | Example |
---|---|---|
$eq |
Exact match with one value | {dev: {"$eq": true}} same as {dev: true} |
$not |
Exclude any exact match | {dev: {"$not": false}} |
$null |
If the value is null | {name: {"$null": true}} |
modql::filter
- Delivers a declarative structure that can be deserialized from JSON.modql::field
- Provides a method get field information on a struct. Thewith-sea-query
feature addsea-query
compatible data structure from standard structs and derive.
Task::field_names()
returns the property names of the struct. It can be overridden with the#[field(name="another_name")]
property attribute.Task::field_refs()
returnsFieldRef { name: &'static str, rel: Option<&'static str>}
for the properties.rel
acts like the table name. It can be set as#[modql(rel="some_table_name")]
at the struct level, or#[field(rel="special_rel_name")]
at the field level.
When compiled with the with-sea-query
feature, these additional functions are available on the struct:
Task::sea_column_refs() -> Vec<ColumnRef>
: Constructssea-query
select queries (withrel
as the table, andname
as the column name).Task::sea_idens() -> Vec<DynIden>
: Constructssea-query
select queries, suited for simpler cases. (similar to::field_names()
but returns the sea-queryDynIden
).task.all_sea_fields().for_sea_insert() -> (Vec<DynIden>, Vec<SimpleExpr>)
: Used forsea-query
inserts.task.all_sea_fields().for_sea_update() -> impl Iterator<Item = (DynIden, SimpleExpr)>
: Used forsea-query
updates.
Additionally, it offers:
task.not_none_fields()
: Operates similarly to the above, but only for fields where theirOption
is notNone
.
On the Rust side, this can be expressed like this:
pub type Result<T> = core::result::Result<T, Error>;
pub type Error = Box<dyn std::error::Error>; // For early dev.
use modql::filter::{FilterGroups, FilterNode, OpValtring};
fn main() -> Result<()> {
let filter_nodes: Vec<FilterNode> = vec![
(
"title",
OpValtring::ContainsAny(vec!["Hello".to_string(), "welcome".to_string()]),
)
.into(),
("done", true).into(),
];
let filter_groups: FilterGroups = filter_nodes.into();
println!("filter_groups:\n{filter_groups:#?}");
Ok(())
}
A Model or Store layer can take the filter_groups
and serialize them into their DSL (e.g., SQL for databases).
The Filter structure is as follows:
FilterGroups
is the top level and consists of multipleFilterGroup
elements.FilterGroup
elements are intended to be executed with anOR
operation between them.- Each
FilterGroup
contains a vector ofFilterNode
elements, which are intended to be executed with anAND
operation. FilterNode
contains arel
(not used yet),name
which represents the property name from where the value originates, and aVec<OpVal>
, representing the Operator Value.OpVal
is an enum for type-specificOpVal[Type]
entities, such asOpValString
that holds the specific operation for that type along with the associated pattern value.