use super::{string_argument_map_bare, string_argument_map_indexed};
use crate::{
Bare, BareValueDomain, Explain, Failure, IndexDomain, Indexed, Labeled, Mask, Operand,
QueryResult,
capabilities::StringValue,
error::string::InvalidRegexPattern,
execution::EvaluationCache,
operations::{
Apply, ArgumentSource, ElementKernel, ElementPipeline, Keyed, Operation, OperationContext,
Prepare, Unaligned,
},
optimizer::{Estimate, OperationInputs, OptimizerHints, PlanIdentity, PlanInputs, Stats},
registry::{describe::ArgumentRetention, operation_manifest},
traits::Matches,
};
use graphrecords_core::GraphRecord;
use regex::Regex;
pub(super) fn regex_matches(label: &'static str, value: &str, pattern: &str) -> QueryResult<bool> {
let expression = Regex::new(pattern).map_err(|error| {
Failure::new(label, InvalidRegexPattern::new(pattern.to_string(), error))
})?;
Ok(expression.is_match(value))
}
#[derive(Clone, Explain, Operation, OperationInputs, OptimizerHints, PlanIdentity, PlanInputs)]
#[operation(scope = Element)]
#[explain(label = "Matches")]
#[plan(optimizer_hints(empty = if_all))]
pub struct MatchesOperation<A> {
#[argument]
pattern: A,
}
impl<A: Prepare> Prepare for MatchesOperation<A> {
type Prepared<'a>
= A::Prepared<'a>
where
Self: 'a;
fn prepare<'a>(
&'a self,
graphrecord: &'a GraphRecord,
cache: &'a EvaluationCache<'a>,
) -> QueryResult<Self::Prepared<'a>> {
self.pattern.prepare(graphrecord, cache)
}
}
impl<I, V, A> ElementKernel<Indexed<I, V>> for MatchesOperation<A>
where
I: IndexDomain,
V: StringValue,
A: ArgumentSource<Keyed<I>>,
A::ValueDomain: StringValue,
{
type Emission = A::Retention;
type OutShape = Indexed<I, Mask>;
fn pipeline<'a>(
_graphrecord: &'a GraphRecord,
prepared: Self::Prepared<'a>,
) -> QueryResult<ElementPipeline<'a, Indexed<I, V>, Self>> {
Ok(string_argument_map_indexed::<_, V, Mask, A>(
prepared,
Self::LABEL,
|label, value, pattern| regex_matches(label, &value, &pattern),
))
}
fn estimate(&self, input: Estimate, _stats: &Stats) -> Estimate {
Estimate {
selectivity: None,
..input.with_unknown_distinct()
}
}
}
impl<V, A> ElementKernel<Bare<V>> for MatchesOperation<A>
where
V: StringValue + BareValueDomain,
A: ArgumentSource<Unaligned>,
A::ValueDomain: StringValue,
{
type Emission = A::Retention;
type OutShape = Bare<Mask>;
fn pipeline<'a>(
_graphrecord: &'a GraphRecord,
prepared: Self::Prepared<'a>,
) -> QueryResult<ElementPipeline<'a, Bare<V>, Self>> {
Ok(string_argument_map_bare::<V, Mask, A>(
prepared,
Self::LABEL,
|label, value, pattern| regex_matches(label, &value, &pattern),
))
}
fn estimate(&self, input: Estimate, _stats: &Stats) -> Estimate {
Estimate {
selectivity: None,
..input.with_unknown_distinct()
}
}
}
impl<O, A> Matches<A> for O
where
MatchesOperation<A>: Operation,
O: Apply<MatchesOperation<A>>,
{
type ReturnOperand = O::Output;
fn matches(&self, pattern: A) -> Self::ReturnOperand {
Self::ReturnOperand::new(OperationContext::new(
self.clone(),
MatchesOperation { pattern },
))
}
}
operation_manifest! {
MatchesOperation<A> {
method: Matches<A>::matches;
scope: element;
kernel {
parameters: <I: IndexDomain, V: StringValue>;
argument: A: ArgumentSource<Keyed<I>> where A::ValueDomain: StringValue;
input: Indexed<I, V>;
output: Indexed<I, Mask>;
emission: ArgumentRetention;
}
kernel {
parameters: <V: StringValue + BareValueDomain>;
argument: A: ArgumentSource<Unaligned> where A::ValueDomain: StringValue;
input: Bare<V>;
output: Bare<Mask>;
emission: ArgumentRetention;
}
}
}