Struct ProbabilisticModel 

pub struct ProbabilisticModel;

Probabilistic model builder and sampler

Implementations

impl ProbabilisticModel

pub fn build_probability_model_from_data( endpoint: &str, method: &str, status_codes: &[u16], latencies_ms: &[u64], error_responses: &[(u16, Value)], request_payloads: &[Value], response_payloads: &[Value], ) -> EndpointProbabilityModel

Build a probability model from a list of status codes and latencies

This is a pure function that takes observed data and builds a probability model. The caller is responsible for querying the database and providing the data.

pub fn sample_status_code(model: &EndpointProbabilityModel) -> u16

Sample a status code based on learned distribution

pub fn sample_latency(model: &EndpointProbabilityModel) -> u64

Sample latency based on learned distribution

pub fn sample_error_pattern<'a>( model: &'a EndpointProbabilityModel, _conditions: Option<&HashMap<String, String>>, ) -> Option<&'a ErrorPattern>

Sample an error pattern based on conditions

pub fn update_model( model: &mut EndpointProbabilityModel, status_code: u16, latency_ms: u64, _error_pattern: Option<&ErrorPattern>, )

Update model incrementally with new observations