zrx_stream/stream/operator.rs
1// Copyright (c) 2025-2026 Zensical and contributors
2
3// SPDX-License-Identifier: MIT
4// Third-party contributions licensed under DCO
5
6// Permission is hereby granted, free of charge, to any person obtaining a copy
7// of this software and associated documentation files (the "Software"), to
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11// furnished to do so, subject to the following conditions:
12
13// The above copyright notice and this permission notice shall be included in
14// all copies or substantial portions of the Software.
15
16// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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22// IN THE SOFTWARE.
23
24// ----------------------------------------------------------------------------
25
26//! Stream operators.
27
28#![allow(clippy::must_use_candidate)] // check why we need this
29#![allow(clippy::new_without_default)]
30#![allow(clippy::return_self_not_must_use)]
31
32use std::marker::PhantomData;
33
34use zrx_scheduler::action::Action;
35use zrx_scheduler::schedule::Subscriber;
36use zrx_scheduler::Id;
37
38use super::Stream;
39
40mod filter;
41mod filter_map;
42mod inspect;
43mod join;
44mod map;
45mod product;
46mod select;
47
48pub use filter::Filter;
49pub use filter_map::FilterMap;
50pub use inspect::Inspect;
51pub use join::Join;
52pub use map::Map;
53pub use product::Product;
54pub use select::Select;
55
56// ----------------------------------------------------------------------------
57// Traits
58// ----------------------------------------------------------------------------
59
60/// Operator.
61pub trait Operator<'a, I, A>
62where
63 A: Action<I>,
64{
65 /// Subscribe the given subscriber.
66 fn subscribe<S>(&self, subscriber: S) -> Stream<I, A::Output<'a>>
67 where
68 S: Into<Subscriber<'a, I, A>>;
69}
70
71// ----------------------------------------------------------------------------
72// Trait implementations
73// ----------------------------------------------------------------------------
74
75impl<'a, I, A, T> Operator<'a, I, A> for Stream<I, T>
76where
77 I: Id,
78 A: Action<I, Inputs = (T,)> + 'static,
79{
80 /// Subscribe the given subscriber.
81 #[inline]
82 fn subscribe<S>(&self, subscriber: S) -> Stream<I, A::Output<'a>>
83 where
84 S: Into<Subscriber<'a, I, A>>,
85 {
86 // We can safely use expect here, as the stream interface prevents us
87 // from creating subscribers with invalid nodes. Otherwise, it's a bug.
88 let id = self.workflow.with(|builder| {
89 builder.add([self.id], subscriber).expect("invariant")
90 });
91 Stream {
92 id,
93 workflow: self.workflow.clone(),
94 marker: PhantomData,
95 }
96 }
97}
98
99// ----------------------------------------------------------------------------
100// Macros
101// ----------------------------------------------------------------------------
102
103/// Implements operator trait for a tuple.
104macro_rules! impl_operator_for_tuple {
105 ($T1:ident $(, $T:ident)+ $(,)?) => {
106 impl<'a, I, A, $T1, $($T,)+> Operator<'a, I, A>
107 for (Stream<I, $T1>, $(Stream<I, $T>,)+)
108 where
109 I: Id,
110 A: Action<I, Inputs = ($T1, $($T,)+)> + 'static,
111 {
112 #[inline]
113 fn subscribe<S>(&self, subscriber: S) -> Stream<I, A::Output<'a>>
114 where
115 S: Into<Subscriber<'a, I, A>>,
116 {
117 #[allow(non_snake_case)]
118 let ($T1, $($T,)*) = self;
119 // Albeit this can practically never happen, we can technically
120 // have different workflows here if we somehow alter the stream
121 // interface. Thus, this assertion is just a cautionary measure
122 // to prevent our future selves from breaking it by accident.
123 $(assert_eq!($T1.workflow, $T.workflow);)+
124 let id = $T1.workflow.with(|builder| {
125 builder
126 .add([$T1.id, $($T.id,)*], subscriber)
127 .expect("invariant")
128 });
129 Stream {
130 id,
131 workflow: $T1.workflow.clone(),
132 marker: PhantomData,
133 }
134 }
135 }
136 };
137}
138
139// ----------------------------------------------------------------------------
140
141impl_operator_for_tuple!(T1, T2);
142impl_operator_for_tuple!(T1, T2, T3);
143impl_operator_for_tuple!(T1, T2, T3, T4);
144impl_operator_for_tuple!(T1, T2, T3, T4, T5);
145impl_operator_for_tuple!(T1, T2, T3, T4, T5, T6);
146impl_operator_for_tuple!(T1, T2, T3, T4, T5, T6, T7);
147impl_operator_for_tuple!(T1, T2, T3, T4, T5, T6, T7, T8);