use super::commands::{
neuron_cache_status_command, neuron_cache_status_usage_for_error, neuron_info_command,
neuron_info_usage_for_error, neuron_list_command, neuron_list_usage_for_error,
neuron_refresh_command, neuron_refresh_usage_for_error,
};
use crate::{
cli::{
clap::{required_string, required_typed, typed_option},
common::FORMAT_ARG,
},
nns::{NnsCommandError, OutputFormat, leaf::NnsCommonOptions, parse_nns_matches},
};
use std::ffi::OsString;
#[derive(Clone, Debug, Eq, PartialEq)]
pub(in crate::nns) struct NnsNeuronListOptions {
pub(in crate::nns) network: String,
pub(in crate::nns) format: OutputFormat,
pub(in crate::nns) source_endpoint: String,
pub(in crate::nns) limit: u32,
pub(in crate::nns) start_neuron_id: Option<u64>,
pub(in crate::nns) verbose: bool,
}
impl NnsNeuronListOptions {
pub(in crate::nns) fn parse<I>(args: I) -> Result<Self, NnsCommandError>
where
I: IntoIterator<Item = OsString>,
{
let matches = parse_nns_matches(neuron_list_command(), args, neuron_list_usage_for_error)?;
let common = NnsCommonOptions::from_matches(&matches);
Ok(Self {
network: common.network,
format: common.format,
source_endpoint: common.source_endpoint,
limit: required_typed(&matches, "limit"),
start_neuron_id: typed_option(&matches, "start-neuron-id"),
verbose: matches.get_flag("verbose"),
})
}
}
#[derive(Clone, Debug, Eq, PartialEq)]
pub(in crate::nns) struct NnsNeuronInfoOptions {
pub(in crate::nns) network: String,
pub(in crate::nns) format: OutputFormat,
pub(in crate::nns) source_endpoint: String,
pub(in crate::nns) neuron_id: u64,
pub(in crate::nns) verbose: bool,
}
impl NnsNeuronInfoOptions {
pub(in crate::nns) fn parse<I>(args: I) -> Result<Self, NnsCommandError>
where
I: IntoIterator<Item = OsString>,
{
let matches = parse_nns_matches(neuron_info_command(), args, neuron_info_usage_for_error)?;
let common = NnsCommonOptions::from_matches(&matches);
Ok(Self {
network: common.network,
format: common.format,
source_endpoint: common.source_endpoint,
neuron_id: required_typed(&matches, "neuron-id"),
verbose: matches.get_flag("verbose"),
})
}
}
#[derive(Clone, Debug, Eq, PartialEq)]
pub(in crate::nns) struct NnsNeuronRefreshOptions {
pub(in crate::nns) network: String,
pub(in crate::nns) format: OutputFormat,
pub(in crate::nns) source_endpoint: String,
pub(in crate::nns) page_size: u32,
pub(in crate::nns) max_pages: Option<u32>,
}
impl NnsNeuronRefreshOptions {
pub(in crate::nns) fn parse<I>(args: I) -> Result<Self, NnsCommandError>
where
I: IntoIterator<Item = OsString>,
{
let matches = parse_nns_matches(
neuron_refresh_command(),
args,
neuron_refresh_usage_for_error,
)?;
let common = NnsCommonOptions::from_matches(&matches);
Ok(Self {
network: common.network,
format: common.format,
source_endpoint: common.source_endpoint,
page_size: required_typed(&matches, "page-size"),
max_pages: typed_option(&matches, "max-pages"),
})
}
}
#[derive(Clone, Debug, Eq, PartialEq)]
pub(in crate::nns) struct NnsNeuronCacheOptions {
pub(in crate::nns) network: String,
pub(in crate::nns) format: OutputFormat,
}
impl NnsNeuronCacheOptions {
pub(in crate::nns) fn parse<I>(args: I) -> Result<Self, NnsCommandError>
where
I: IntoIterator<Item = OsString>,
{
let matches = parse_nns_matches(
neuron_cache_status_command(),
args,
neuron_cache_status_usage_for_error,
)?;
Ok(Self {
network: required_string(&matches, "network"),
format: required_typed(&matches, FORMAT_ARG),
})
}
}