zrx_stream/stream/operator/lift.rs
1// Copyright (c) Zensical LLC <https://zensical.org>
2
3// SPDX-License-Identifier: MIT
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23
24// ----------------------------------------------------------------------------
25
26//! Lift operator.
27
28use ahash::HashMap;
29use zrx_scheduler::action::descriptor::Property;
30use zrx_scheduler::action::output::IntoOutputs;
31use zrx_scheduler::action::{Descriptor, Report};
32use zrx_scheduler::effect::Item;
33use zrx_scheduler::{Id, Value};
34use zrx_store::behavior::StoreDelta;
35use zrx_store::StoreMutRef;
36
37use crate::stream::function::LiftFn;
38use crate::stream::value::Delta;
39use crate::stream::Stream;
40
41use super::{Operator, OperatorExt};
42
43// ----------------------------------------------------------------------------
44// Structs
45// ----------------------------------------------------------------------------
46
47/// Lift operator.
48struct Lift<F, I, U> {
49 /// Operator function.
50 function: F,
51 /// Store of change sets.
52 store: HashMap<I, HashMap<I, U>>,
53}
54
55// ----------------------------------------------------------------------------
56// Implementations
57// ----------------------------------------------------------------------------
58
59impl<I, T> Stream<I, T>
60where
61 I: Id,
62 T: Value,
63{
64 pub fn lift<F, U>(&self, f: F) -> Stream<I, Delta<I, U>>
65 where
66 F: LiftFn<I, T, U>,
67 U: Value + Clone + Eq,
68 {
69 self.with_operator(Lift {
70 function: f,
71 store: HashMap::default(),
72 })
73 }
74}
75
76// ----------------------------------------------------------------------------
77// Trait implementations
78// ----------------------------------------------------------------------------
79
80impl<I, T, F, U> Operator<I, T> for Lift<F, I, U>
81where
82 I: Id,
83 T: Value,
84 F: LiftFn<I, T, U>,
85 U: Value + Clone + Eq,
86{
87 type Item<'a> = Item<&'a I, Option<&'a T>>;
88
89 /// Handles the given item.
90 ///
91 /// Lifting is an essential operation in stream processing, as it allows an
92 /// input item to be transformed into multiple related output items with a
93 /// user-defined function. This operator always returns a delta of items,
94 /// ensuring that the related items can be processed differentially.
95 #[cfg_attr(
96 feature = "tracing",
97 tracing::instrument(level = "debug", skip_all, fields(id = %item.id))
98 )]
99 fn handle(&mut self, item: Self::Item<'_>) -> impl IntoOutputs<I> {
100 if let Some(data) = item.data {
101 // When new data arrives, we apply the operator function to generate
102 // related items. We then compute the delta between the previous set
103 // of related items and the returned set, ensuring that only changes
104 // are propagated downstream.
105 self.function.execute(item.id, data).map(|report| {
106 report.map(|data| {
107 let store = self.store.get_or_insert_default(item.id);
108 let delta = store
109 .changes(data.into_iter().map(Item::into_parts))
110 .map(|(id, data)| Item::new(id, data))
111 .collect();
112
113 // Return delta of items
114 Item::new(item.id.clone(), Some(delta))
115 })
116 })
117 } else {
118 // If the incoming item has no data, interpret this as a deletion,
119 // removing any previously stored related items. By emitting a delta
120 // of items instead of a deletion, we can ensure that all downstream
121 // operators can update their internal state accordingly.
122 let store = self.store.remove(item.id);
123 let delta = store.map_or_else(Delta::default, |inner| {
124 inner.into_keys().map(|id| Item::new(id, None)).collect()
125 });
126
127 // Return delta of items
128 Ok(Report::new(Item::new(item.id.clone(), Some(delta))))
129 }
130 }
131
132 /// Returns the descriptor.
133 #[inline]
134 fn descriptor(&self) -> Descriptor {
135 Descriptor::builder() // fmt
136 .property(Property::Stable)
137 .build()
138 }
139}