statsig_rust/evaluation/
evaluator_context.rs

1use crate::evaluation::dynamic_value::DynamicValue;
2use crate::evaluation::evaluator_result::EvaluatorResult;
3use crate::hashing::HashUtil;
4use crate::spec_store::SpecStoreData;
5use crate::spec_types::{Rule, Spec};
6use crate::user::StatsigUserInternal;
7use crate::StatsigErr::StackOverflowError;
8use crate::{OverrideAdapter, StatsigErr};
9use std::collections::HashMap;
10use std::sync::Arc;
11
12const MAX_RECURSIVE_DEPTH: u16 = 300;
13
14pub struct EvaluatorContext<'a> {
15    pub user: &'a StatsigUserInternal<'a, 'a>,
16    pub spec_store_data: &'a SpecStoreData,
17    pub hashing: &'a HashUtil,
18    pub result: EvaluatorResult<'a>,
19    pub nested_count: u16,
20    pub app_id: &'a Option<&'a DynamicValue>,
21    pub override_adapter: &'a Option<Arc<dyn OverrideAdapter>>,
22    pub nested_gate_memo: HashMap<&'a str, (bool, Option<&'a String>)>,
23}
24
25impl<'a> EvaluatorContext<'a> {
26    pub fn new(
27        user: &'a StatsigUserInternal,
28        spec_store_data: &'a SpecStoreData,
29        hashing: &'a HashUtil,
30        app_id: &'a Option<&'a DynamicValue>,
31        override_adapter: &'a Option<Arc<dyn OverrideAdapter>>,
32    ) -> Self {
33        let result = EvaluatorResult::default();
34
35        Self {
36            user,
37            spec_store_data,
38            hashing,
39            app_id,
40            result,
41            override_adapter,
42            nested_count: 0,
43            nested_gate_memo: HashMap::new(),
44        }
45    }
46
47    pub fn reset_between_top_level_evaluations(&mut self) {
48        self.nested_gate_memo.clear();
49        self.nested_count = 0;
50        self.result = EvaluatorResult::default();
51    }
52
53    pub fn reset_result(&mut self) {
54        self.result = EvaluatorResult::default();
55    }
56
57    pub fn finalize_evaluation(&mut self, spec: &Spec, rule: Option<&Rule>) {
58        self.result.sampling_rate = rule.and_then(|r| r.sampling_rate);
59        self.result.forward_all_exposures = spec.forward_all_exposures;
60
61        if self.nested_count > 0 {
62            self.nested_count -= 1;
63            return;
64        }
65
66        if self.result.secondary_exposures.is_empty() {
67            return;
68        }
69
70        if self.result.undelegated_secondary_exposures.is_some() {
71            return;
72        }
73
74        self.result.undelegated_secondary_exposures = Some(self.result.secondary_exposures.clone());
75    }
76
77    pub fn prep_for_nested_evaluation(&mut self) -> Result<(), StatsigErr> {
78        self.nested_count += 1;
79
80        self.result.bool_value = false;
81        self.result.json_value = None;
82
83        if self.nested_count > MAX_RECURSIVE_DEPTH {
84            return Err(StackOverflowError);
85        }
86
87        Ok(())
88    }
89}