Struct CliCockpit 

pub struct CliCockpit {

    pub yolo: bool,
    pub swarm_size: usize,
    pub brief: bool,
    pub reroll: Option<String>,
    pub rusty: bool,
    pub stats: bool,
    pub no_splash: bool,
    pub fast_model: Option<String>,
    pub think_model: Option<String>,
    pub url: String,
    pub mcp_server: bool,
    pub edge_redact: bool,
    pub semantic_redact: bool,
    pub semantic_url: Option<String>,
    pub semantic_model: Option<String>,
    pub report: bool,
    pub report_format: String,
    pub diagnose: bool,
    pub triage: Option<String>,
    pub fix: Option<String>,
    pub open: bool,
    pub dry_run: bool,
    pub execute: bool,
    pub yes: bool,
    pub quiet: bool,
    pub fix_all: bool,
    pub only: Option<String>,
    pub clipboard: bool,
    pub notify: bool,
    pub output: Option<String>,
    pub schedule: Option<String>,
    pub inventory: bool,
    pub inspect: Option<String>,
    pub query: Option<String>,
    pub watch: Option<String>,
    pub watch_interval: u64,
    pub count: Option<u64>,
    pub diff: Option<String>,
    pub diff_after: u64,
    pub alert: Option<String>,
    pub field: Option<String>,
    pub snapshot: Option<String>,
    pub from: Option<String>,
    pub snapshots: bool,
    pub compare: Option<String>,
    pub audit_start: Option<String>,
    pub audit_end: Option<String>,
    pub audit_topics: Option<String>,
    pub alert_rule_add: Option<String>,
    pub alert_rule_label: Option<String>,
    pub alert_rule_negate: bool,
    pub alert_rules: bool,
    pub alert_rule_remove: Option<u64>,
    pub alert_rule_run: bool,
    pub timeline_capture: bool,
    pub timeline: bool,
    pub timeline_diff: Option<String>,
    pub timeline_trend: bool,
    pub diagnose_why: Option<String>,
    pub analyze: Option<String>,
    pub compute: Option<String>,
    pub convert: Option<String>,
    pub query_data: Option<String>,
    pub sql: Option<String>,
    pub plot: Option<String>,
    pub plot_type: Option<String>,
    pub plot_x: Option<String>,
    pub plot_y: Option<String>,
    pub plot_title: Option<String>,
    pub plot_output: Option<String>,
    pub simulate: Option<String>,
    pub fourier: Option<String>,
    pub fourier_col: Option<String>,
    pub fourier_top: Option<usize>,
    pub fourier_rate: Option<f64>,
    pub cluster: Option<String>,
    pub cluster_k: Option<usize>,
    pub cluster_cols: Option<String>,
    pub cluster_output: Option<String>,
    pub normalize: Option<String>,
    pub normalize_method: Option<String>,
    pub normalize_cols: Option<String>,
    pub normalize_output: Option<String>,
    pub pca: Option<String>,
    pub pca_components: Option<usize>,
    pub pca_cols: Option<String>,
    pub pca_output: Option<String>,
    pub graph: Option<String>,
    pub symbolic: Option<String>,
    pub finance: Option<String>,
    pub logic: Option<String>,
    pub signal: Option<String>,
    pub interpolate: Option<String>,
    pub units: Option<String>,
    pub ode: Option<String>,
    pub optimize: Option<String>,
    pub hypothesis: Option<String>,
    pub hypothesis_test: Option<String>,
    pub hypothesis_group2: Option<String>,
    pub hypothesis_alpha: Option<f64>,
    pub hypothesis_mu: Option<f64>,
    pub classify: Option<String>,
    pub classify_label: Option<String>,
    pub classify_cols: Option<String>,
    pub classify_predict: Option<String>,
    pub classify_k: Option<usize>,
    pub classify_method: Option<String>,
    pub polyfit: Option<String>,
    pub polyfit_x: Option<String>,
    pub polyfit_y: Option<String>,
    pub polyfit_degree: Option<usize>,
    pub polyfit_predict: Option<String>,
    pub probability: Option<String>,
    pub bitwise: Option<String>,
    pub set: Option<String>,
    pub cipher: Option<String>,
    pub text_stats: Option<String>,
    pub levenshtein: Option<String>,
    pub number_format: Option<String>,
    pub sort_viz: Option<String>,
    pub checksum: Option<String>,
    pub validate: Option<String>,
    pub periodic: Option<String>,
    pub hash: Option<String>,
    pub hash_algo: Option<String>,
    pub encode: Option<String>,
    pub decode: Option<String>,
    pub codec: Option<String>,
    pub formula: Option<String>,
    pub random: Option<String>,
    pub length: Option<usize>,
    pub random_args: Option<String>,
    pub diff_data: Option<String>,
    pub diff_key: Option<String>,
    pub describe: Option<String>,
    pub column: Option<String>,
    pub matrix: Option<String>,
    pub matrix_a: Option<String>,
    pub matrix_b: Option<String>,
    pub solve: Option<String>,
    pub solve_var: Option<String>,
    pub solve_range: Option<String>,
    pub curve_fit: Option<String>,
    pub fit_x: Option<String>,
    pub fit_y: Option<String>,
    pub fit_model: Option<String>,
    pub integrate: Option<String>,
    pub int_from: Option<String>,
    pub int_to: Option<String>,
    pub int_var: Option<String>,
    pub int_n: Option<usize>,
    pub differentiate: Option<String>,
    pub at: Option<String>,
    pub order: Option<u8>,
    pub profile: Option<String>,
    pub prime: Option<u64>,
    pub sequence: Option<String>,
    pub seq_count: Option<usize>,
    pub seq_start: Option<f64>,
    pub seq_step: Option<f64>,
    pub choose: Option<String>,
    pub truth_table: Option<String>,
    pub gcd: Option<String>,
    pub roman: Option<String>,
    pub base_convert: Option<String>,
    pub base_from: Option<u32>,
    pub base_to: Option<u32>,
    pub date: Option<String>,
    pub subnet: Option<String>,
    pub color: Option<String>,
    pub mw: Option<String>,
    pub const: Option<String>,
    pub normal: Option<String>,
    pub vectors: Option<String>,
    pub number_theory: Option<String>,
    pub percentile: Option<String>,
    pub percentile_col: Option<String>,
    pub pivot: Option<String>,
    pub pivot_row: Option<String>,
    pub pivot_col: Option<String>,
    pub pivot_val: Option<String>,
    pub pivot_agg: Option<String>,
    pub regression: Option<String>,
    pub regression_target: Option<String>,
    pub regression_predictors: Option<String>,
    pub outliers: Option<String>,
    pub outlier_col: Option<String>,
    pub outlier_output: Option<String>,
    pub sample: Option<String>,
    pub sample_n: Option<usize>,
    pub sample_frac: Option<f64>,
    pub sample_seed: Option<u64>,
    pub split: Option<f64>,
    pub sample_output: Option<String>,
    pub correlation: Option<String>,
    pub corr_method: Option<String>,
    pub timeseries: Option<String>,
    pub ts_date: Option<String>,
    pub ts_value: Option<String>,
    pub ts_window: Option<usize>,
    pub pdf_extract_helper: Option<String>,
    pub teleported_from: Option<String>,
}

Fields

yolo: bool

swarm_size: usize

brief: bool

reroll: Option<String>

rusty: bool

stats: bool

no_splash: bool

fast_model: Option<String>

think_model: Option<String>

url: String

mcp_server: bool

edge_redact: bool

semantic_redact: bool

semantic_url: Option<String>

semantic_model: Option<String>

report: bool

report_format: String

diagnose: bool

triage: Option<String>

fix: Option<String>

open: bool

dry_run: bool

execute: bool

yes: bool

quiet: bool

fix_all: bool

only: Option<String>

clipboard: bool

notify: bool

output: Option<String>

schedule: Option<String>

inventory: bool

inspect: Option<String>

query: Option<String>

watch: Option<String>

watch_interval: u64

count: Option<u64>

diff: Option<String>

diff_after: u64

alert: Option<String>

field: Option<String>

snapshot: Option<String>

from: Option<String>

snapshots: bool

compare: Option<String>

audit_start: Option<String>

audit_end: Option<String>

audit_topics: Option<String>

alert_rule_add: Option<String>

alert_rule_label: Option<String>

alert_rule_negate: bool

alert_rules: bool

alert_rule_remove: Option<u64>

alert_rule_run: bool

timeline_capture: bool

timeline: bool

timeline_diff: Option<String>

timeline_trend: bool

diagnose_why: Option<String>

analyze: Option<String>

compute: Option<String>

convert: Option<String>

query_data: Option<String>

sql: Option<String>

plot: Option<String>

plot_type: Option<String>

plot_x: Option<String>

plot_y: Option<String>

plot_title: Option<String>

plot_output: Option<String>

simulate: Option<String>

fourier: Option<String>

fourier_col: Option<String>

fourier_top: Option<usize>

fourier_rate: Option<f64>

cluster: Option<String>

cluster_k: Option<usize>

cluster_cols: Option<String>

cluster_output: Option<String>

normalize: Option<String>

normalize_method: Option<String>

normalize_cols: Option<String>

normalize_output: Option<String>

pca: Option<String>

pca_components: Option<usize>

pca_cols: Option<String>

pca_output: Option<String>

graph: Option<String>

symbolic: Option<String>

finance: Option<String>

logic: Option<String>

signal: Option<String>

interpolate: Option<String>

units: Option<String>

ode: Option<String>

optimize: Option<String>

hypothesis: Option<String>

hypothesis_test: Option<String>

hypothesis_group2: Option<String>

hypothesis_alpha: Option<f64>

hypothesis_mu: Option<f64>

classify: Option<String>

classify_label: Option<String>

classify_cols: Option<String>

classify_predict: Option<String>

classify_k: Option<usize>

classify_method: Option<String>

polyfit: Option<String>

polyfit_x: Option<String>

polyfit_y: Option<String>

polyfit_degree: Option<usize>

polyfit_predict: Option<String>

probability: Option<String>

bitwise: Option<String>

set: Option<String>

cipher: Option<String>

text_stats: Option<String>

levenshtein: Option<String>

number_format: Option<String>

sort_viz: Option<String>

checksum: Option<String>

validate: Option<String>

periodic: Option<String>

hash: Option<String>

hash_algo: Option<String>

encode: Option<String>

decode: Option<String>

codec: Option<String>

formula: Option<String>

random: Option<String>

length: Option<usize>

random_args: Option<String>

diff_data: Option<String>

diff_key: Option<String>

describe: Option<String>

column: Option<String>

matrix: Option<String>

matrix_a: Option<String>

matrix_b: Option<String>

solve: Option<String>

solve_var: Option<String>

solve_range: Option<String>

curve_fit: Option<String>

fit_x: Option<String>

fit_y: Option<String>

fit_model: Option<String>

integrate: Option<String>

int_from: Option<String>

int_to: Option<String>

int_var: Option<String>

int_n: Option<usize>

differentiate: Option<String>

at: Option<String>

order: Option<u8>

profile: Option<String>

prime: Option<u64>

sequence: Option<String>

seq_count: Option<usize>

seq_start: Option<f64>

seq_step: Option<f64>

choose: Option<String>

truth_table: Option<String>

gcd: Option<String>

roman: Option<String>

base_convert: Option<String>

base_from: Option<u32>

base_to: Option<u32>

date: Option<String>

subnet: Option<String>

color: Option<String>

mw: Option<String>

const: Option<String>

normal: Option<String>

vectors: Option<String>

number_theory: Option<String>

percentile: Option<String>

percentile_col: Option<String>

pivot: Option<String>

pivot_row: Option<String>

pivot_col: Option<String>

pivot_val: Option<String>

pivot_agg: Option<String>

regression: Option<String>

regression_target: Option<String>

regression_predictors: Option<String>

outliers: Option<String>

outlier_col: Option<String>

outlier_output: Option<String>

sample: Option<String>

sample_n: Option<usize>

sample_frac: Option<f64>

sample_seed: Option<u64>

split: Option<f64>

sample_output: Option<String>

correlation: Option<String>

corr_method: Option<String>

timeseries: Option<String>

ts_date: Option<String>

ts_value: Option<String>

ts_window: Option<usize>

pdf_extract_helper: Option<String>

teleported_from: Option<String>

Trait Implementations

impl Args for CliCockpit

fn group_id() -> Option<Id>

Report the ArgGroup::id for this set of arguments

fn augment_args<'b>(__clap_app: Command) -> Command

Append to Command so it can instantiate Self via FromArgMatches::from_arg_matches_mut

fn augment_args_for_update<'b>(__clap_app: Command) -> Command

Append to Command so it can instantiate self via FromArgMatches::update_from_arg_matches_mut

impl Clone for CliCockpit

fn clone(&self) -> CliCockpit

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl CommandFactory for CliCockpit

fn command<'b>() -> Command

Build a Command that can instantiate Self.

fn command_for_update<'b>() -> Command

Build a Command that can update self.

impl Debug for CliCockpit

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl FromArgMatches for CliCockpit

fn from_arg_matches(__clap_arg_matches: &ArgMatches) -> Result<Self, Error>

Instantiate Self from ArgMatches, parsing the arguments as needed.

fn from_arg_matches_mut( __clap_arg_matches: &mut ArgMatches, ) -> Result<Self, Error>

Instantiate Self from ArgMatches, parsing the arguments as needed.

fn update_from_arg_matches( &mut self, __clap_arg_matches: &ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.

fn update_from_arg_matches_mut( &mut self, __clap_arg_matches: &mut ArgMatches, ) -> Result<(), Error>

Assign values from ArgMatches to self.

impl Parser for CliCockpit

fn parse() -> Self

Parse from std::env::args_os(), exit on error.

fn try_parse() -> Result<Self, Error>

Parse from std::env::args_os(), return Err on error.

fn parse_from<I, T>(itr: I) -> Self

where I: IntoIterator<Item = T>, T: Into<OsString> + Clone,

Parse from iterator, exit on error.

fn try_parse_from<I, T>(itr: I) -> Result<Self, Error>

where I: IntoIterator<Item = T>, T: Into<OsString> + Clone,

Parse from iterator, return Err on error.

fn update_from<I, T>(&mut self, itr: I)

where I: IntoIterator<Item = T>, T: Into<OsString> + Clone,

Update from iterator, exit on error.

fn try_update_from<I, T>(&mut self, itr: I) -> Result<(), Error>

where I: IntoIterator<Item = T>, T: Into<OsString> + Clone,

Update from iterator, return Err on error.