snapif 0.1.2

Snapif scores one tool call and returns Auto, Review, or Escalate.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130

use crate::error::DecodeError;
use crate::ids::QuestionId;
use crate::policy::{Block, NoulPolicy, Signal};
use crate::question::{ChoiceLabels, ScoreLabels};
use crate::verdict::{Decision, UnsureReason};
use crate::wire::renormalize_probabilities;
use indexmap::IndexMap;

pub struct NoulAnswer {
    pub p: f64,
}

impl NoulAnswer {
    pub fn decide(&self, pol: &NoulPolicy, block: Option<&Block>) -> Decision<bool> {
        let yes = block.and_then(|row| row.yes_auto).unwrap_or(pol.yes_auto);
        let no = block.and_then(|row| row.no_auto).unwrap_or(pol.no_auto);
        if self.p >= yes {
            Decision::Known(true)
        } else if self.p <= no {
            Decision::Known(false)
        } else {
            Decision::Unsure {
                reason: UnsureReason::NoulBand { noul: self.p },
                guess: Some(self.p >= 0.5),
            }
        }
    }
}

pub struct ChoiceAnswer {
    pub label: String,
    pub confidence: f64,
    pub probabilities: IndexMap<String, f64>,
}

impl ChoiceAnswer {
    pub fn signal(&self, signal: Signal) -> f64 {
        match signal {
            Signal::Confidence => self.confidence,
            Signal::TopProb => top_prob(&self.probabilities),
            Signal::Margin => margin(&self.probabilities),
        }
    }

    pub fn decide<T: ChoiceLabels>(&self, s: f64, floor: f64) -> Result<Decision<T>, DecodeError> {
        let decoded = T::from_label(&self.label);
        if s < floor {
            return Ok(Decision::Unsure {
                reason: UnsureReason::BelowFloor {
                    confidence: s,
                    floor,
                },
                guess: decoded,
            });
        }
        match decoded {
            Some(value) => Ok(Decision::Known(value)),
            None => Err(DecodeError::UnknownLabel {
                key: QuestionId::new(&self.label),
                label: self.label.clone(),
            }),
        }
    }
}

pub struct ScoreAnswer {
    pub score: f64,
    pub confidence: f64,
    pub probabilities: IndexMap<String, f64>,
}

impl ScoreAnswer {
    pub fn signal(&self, signal: Signal) -> f64 {
        match signal {
            Signal::Confidence => self.confidence,
            Signal::TopProb => top_prob(&self.probabilities),
            Signal::Margin => margin(&self.probabilities),
        }
    }

    pub fn decide<T: ScoreLabels>(&self, s: f64, floor: f64) -> Result<Decision<T>, DecodeError> {
        let guess = index_of(self.score).and_then(T::from_index);
        if s < floor {
            return Ok(Decision::Unsure {
                reason: UnsureReason::BelowFloor {
                    confidence: s,
                    floor,
                },
                guess,
            });
        }
        match guess {
            Some(value) => Ok(Decision::Known(value)),
            None => Err(DecodeError::OutOfRange {
                key: QuestionId::new("score"),
            }),
        }
    }
}

fn index_of(score: f64) -> Option<usize> {
    if score.is_finite() && score >= 0.0 {
        Some(score.round() as usize)
    } else {
        None
    }
}

fn top_prob(probabilities: &IndexMap<String, f64>) -> f64 {
    let (scaled, _) = renormalize_probabilities(probabilities);
    scaled.values().copied().fold(0.0, f64::max)
}

fn margin(probabilities: &IndexMap<String, f64>) -> f64 {
    let (scaled, _) = renormalize_probabilities(probabilities);
    if scaled.len() <= 1 {
        return 1.0;
    }
    let mut top1 = 0.0;
    let mut top2 = 0.0;
    for value in scaled.values().copied() {
        if value >= top1 {
            top2 = top1;
            top1 = value;
        } else if value > top2 {
            top2 = value;
        }
    }
    top1 - top2
}