use indexmap::map::IndexMap;
use crate::{base, proto};
use crate::base::{Array, NodeProperties, Value, IndexKey};
use crate::components::{Expandable, Report};
use crate::errors::*;
use crate::utilities::{array::get_ith_column, prepend, privacy::spread_privacy_usage};
use crate::utilities::json::{AlgorithmInfo, JSONRelease, privacy_usage_to_json, value_to_json};
impl Expandable for proto::DpRawMoment {
fn expand_component(
&self,
privacy_definition: &Option<proto::PrivacyDefinition>,
component: &proto::Component,
_public_arguments: &IndexMap<base::IndexKey, &Value>,
_properties: &base::NodeProperties,
component_id: u32,
mut maximum_id: u32,
) -> Result<base::ComponentExpansion> {
let mut expansion = base::ComponentExpansion::default();
let argument_ids = component.arguments();
let data_id = *argument_ids.get::<base::IndexKey>(&"data".into())
.ok_or_else(|| Error::from("data must be provided as an argument"))?;
maximum_id += 1;
let id_moment = maximum_id;
expansion.computation_graph.insert(id_moment, proto::Component {
arguments: Some(proto::ArgumentNodeIds::new(
indexmap!["data".into() => data_id])),
variant: Some(proto::component::Variant::RawMoment(proto::RawMoment {
order: self.order
})),
omit: true,
submission: component.submission,
});
expansion.traversal.push(id_moment);
let mechanism = if self.mechanism.to_lowercase().as_str() == "automatic" {
let privacy_definition = privacy_definition.as_ref()
.ok_or_else(|| Error::from("privacy_definition must be known"))?;
if privacy_definition.protect_floating_point
{ "snapping" } else { "laplace" }.to_string()
} else { self.mechanism.to_lowercase() };
let mut arguments = indexmap!["data".into() => id_moment];
let variant = Some(match mechanism.as_str() {
"laplace" => proto::component::Variant::LaplaceMechanism(proto::LaplaceMechanism {
privacy_usage: self.privacy_usage.clone()
}),
"gaussian" => proto::component::Variant::GaussianMechanism(proto::GaussianMechanism {
privacy_usage: self.privacy_usage.clone(),
analytic: false
}),
"analyticgaussian" => proto::component::Variant::GaussianMechanism(proto::GaussianMechanism {
privacy_usage: self.privacy_usage.clone(),
analytic: true
}),
"snapping" => {
argument_ids.get::<IndexKey>(&"lower".into())
.map(|lower| arguments.insert("lower".into(), *lower));
argument_ids.get::<IndexKey>(&"upper".into())
.map(|upper| arguments.insert("upper".into(), *upper));
proto::component::Variant::SnappingMechanism(proto::SnappingMechanism {
privacy_usage: self.privacy_usage.clone()
})
},
_ => bail!("Unexpected invalid token {:?}", self.mechanism.as_str()),
});
expansion.computation_graph.insert(component_id, proto::Component {
arguments: Some(proto::ArgumentNodeIds::new(arguments)),
variant,
omit: component.omit,
submission: component.submission,
});
Ok(expansion)
}
}
impl Report for proto::DpRawMoment {
fn summarize(
&self,
node_id: u32,
component: &proto::Component,
_public_arguments: IndexMap<base::IndexKey, &Value>,
properties: NodeProperties,
release: &Value,
variable_names: Option<&Vec<base::IndexKey>>,
) -> Result<Option<Vec<JSONRelease>>> {
let data_property = properties.get::<base::IndexKey>(&"data".into())
.ok_or("data: missing")?.array()
.map_err(prepend("data:"))?.clone();
let mut releases = Vec::new();
let minimums = data_property.lower_float()?;
let maximums = data_property.upper_float()?;
let num_records = data_property.num_records()?;
let num_columns = data_property.num_columns()?;
let privacy_usages = spread_privacy_usage(&self.privacy_usage, num_columns as usize)?;
for column_number in 0..(num_columns as usize) {
let variable_name = variable_names
.and_then(|names| names.get(column_number)).cloned()
.unwrap_or_else(|| "[Unknown]".into());
releases.push(JSONRelease {
description: "DP release information".to_string(),
statistic: "DPRawMoment".to_string(),
variables: serde_json::json!(variable_name.to_string()),
release_info: match release.ref_array()? {
Array::Float(v) => value_to_json(&get_ith_column(v, column_number)?.into())?,
Array::Int(v) => value_to_json(&get_ith_column(v, column_number)?.into())?,
_ => return Err("maximum must be numeric".into())
},
privacy_loss: privacy_usage_to_json(&privacy_usages[column_number].clone()),
accuracy: None,
submission: component.submission,
node_id,
postprocess: false,
algorithm_info: AlgorithmInfo {
name: "".to_string(),
cite: "".to_string(),
mechanism: self.mechanism.clone(),
argument: serde_json::json!({
"n": num_records,
"constraint": {
"lowerbound": minimums[column_number],
"upperbound": maximums[column_number]
}
}),
},
});
}
Ok(Some(releases))
}
}