mirror of
https://github.com/OMGeeky/google-apis-rs.git
synced 2026-02-23 15:49:49 +01:00
chore(code): updated to latest state
This commit is contained in:
@@ -20,7 +20,7 @@ use clap::{App, SubCommand, Arg};
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mod cmn;
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use cmn::{InvalidOptionsError, CLIError, JsonTokenStorage, arg_from_str, writer_from_opts, parse_kv_arg,
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use cmn::{InvalidOptionsError, CLIError, JsonTokenStorage, arg_from_str, writer_from_opts, parse_kv_arg,
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input_file_from_opts, input_mime_from_opts, FieldCursor, FieldError, CallType, UploadProtocol,
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calltype_from_str, remove_json_null_values, ComplexType, JsonType, JsonTypeInfo};
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@@ -36,22 +36,22 @@ enum DoitError {
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ApiError(api::Error),
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}
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struct Engine<'n, 'a> {
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opt: ArgMatches<'n, 'a>,
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struct Engine<'n> {
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opt: ArgMatches<'n>,
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hub: api::Prediction<hyper::Client, Authenticator<DefaultAuthenticatorDelegate, JsonTokenStorage, hyper::Client>>,
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gp: Vec<&'static str>,
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gpm: Vec<(&'static str, &'static str)>,
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}
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impl<'n, 'a> Engine<'n, 'a> {
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fn _hostedmodels_predict(&self, opt: &ArgMatches<'n, 'a>, dry_run: bool, err: &mut InvalidOptionsError)
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impl<'n> Engine<'n> {
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fn _hostedmodels_predict(&self, opt: &ArgMatches<'n>, dry_run: bool, err: &mut InvalidOptionsError)
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-> Result<(), DoitError> {
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let mut field_cursor = FieldCursor::default();
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let mut object = json::value::Value::Object(Default::default());
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for kvarg in opt.values_of("kv").unwrap_or(Vec::new()).iter() {
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for kvarg in opt.values_of("kv").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let last_errc = err.issues.len();
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let (key, value) = parse_kv_arg(&*kvarg, err, false);
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let mut temp_cursor = field_cursor.clone();
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@@ -65,8 +65,8 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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continue;
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}
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let type_info: Option<(&'static str, JsonTypeInfo)> =
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let type_info: Option<(&'static str, JsonTypeInfo)> =
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match &temp_cursor.to_string()[..] {
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_ => {
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let suggestion = FieldCursor::did_you_mean(key, &vec![]);
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@@ -80,7 +80,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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let mut request: api::Input = json::value::from_value(object).unwrap();
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let mut call = self.hub.hostedmodels().predict(request, opt.value_of("project").unwrap_or(""), opt.value_of("hosted-model-name").unwrap_or(""));
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for parg in opt.values_of("v").unwrap_or(Vec::new()).iter() {
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for parg in opt.values_of("v").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let (key, value) = parse_kv_arg(&*parg, err, false);
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match key {
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_ => {
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@@ -93,7 +93,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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if !found {
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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{let mut v = Vec::new();
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v.extend(self.gp.iter().map(|v|*v));
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v } ));
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@@ -106,7 +106,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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Ok(())
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} else {
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assert!(err.issues.len() == 0);
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for scope in self.opt.values_of("url").unwrap_or(Vec::new()).iter() {
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for scope in self.opt.values_of("url").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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call = call.add_scope(scope);
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}
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let mut ostream = match writer_from_opts(opt.value_of("out")) {
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@@ -129,10 +129,10 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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fn _trainedmodels_analyze(&self, opt: &ArgMatches<'n, 'a>, dry_run: bool, err: &mut InvalidOptionsError)
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fn _trainedmodels_analyze(&self, opt: &ArgMatches<'n>, dry_run: bool, err: &mut InvalidOptionsError)
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-> Result<(), DoitError> {
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let mut call = self.hub.trainedmodels().analyze(opt.value_of("project").unwrap_or(""), opt.value_of("id").unwrap_or(""));
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for parg in opt.values_of("v").unwrap_or(Vec::new()).iter() {
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for parg in opt.values_of("v").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let (key, value) = parse_kv_arg(&*parg, err, false);
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match key {
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_ => {
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@@ -145,7 +145,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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if !found {
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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{let mut v = Vec::new();
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v.extend(self.gp.iter().map(|v|*v));
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v } ));
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@@ -158,7 +158,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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Ok(())
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} else {
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assert!(err.issues.len() == 0);
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for scope in self.opt.values_of("url").unwrap_or(Vec::new()).iter() {
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for scope in self.opt.values_of("url").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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call = call.add_scope(scope);
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}
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let mut ostream = match writer_from_opts(opt.value_of("out")) {
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@@ -181,10 +181,10 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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fn _trainedmodels_delete(&self, opt: &ArgMatches<'n, 'a>, dry_run: bool, err: &mut InvalidOptionsError)
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fn _trainedmodels_delete(&self, opt: &ArgMatches<'n>, dry_run: bool, err: &mut InvalidOptionsError)
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-> Result<(), DoitError> {
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let mut call = self.hub.trainedmodels().delete(opt.value_of("project").unwrap_or(""), opt.value_of("id").unwrap_or(""));
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for parg in opt.values_of("v").unwrap_or(Vec::new()).iter() {
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for parg in opt.values_of("v").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let (key, value) = parse_kv_arg(&*parg, err, false);
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match key {
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_ => {
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@@ -197,7 +197,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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if !found {
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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{let mut v = Vec::new();
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v.extend(self.gp.iter().map(|v|*v));
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v } ));
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@@ -210,7 +210,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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Ok(())
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} else {
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assert!(err.issues.len() == 0);
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for scope in self.opt.values_of("url").unwrap_or(Vec::new()).iter() {
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for scope in self.opt.values_of("url").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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call = call.add_scope(scope);
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}
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match match protocol {
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@@ -225,10 +225,10 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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fn _trainedmodels_get(&self, opt: &ArgMatches<'n, 'a>, dry_run: bool, err: &mut InvalidOptionsError)
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fn _trainedmodels_get(&self, opt: &ArgMatches<'n>, dry_run: bool, err: &mut InvalidOptionsError)
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-> Result<(), DoitError> {
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let mut call = self.hub.trainedmodels().get(opt.value_of("project").unwrap_or(""), opt.value_of("id").unwrap_or(""));
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for parg in opt.values_of("v").unwrap_or(Vec::new()).iter() {
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for parg in opt.values_of("v").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let (key, value) = parse_kv_arg(&*parg, err, false);
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match key {
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_ => {
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@@ -241,7 +241,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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if !found {
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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{let mut v = Vec::new();
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v.extend(self.gp.iter().map(|v|*v));
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v } ));
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@@ -254,7 +254,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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Ok(())
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} else {
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assert!(err.issues.len() == 0);
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for scope in self.opt.values_of("url").unwrap_or(Vec::new()).iter() {
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for scope in self.opt.values_of("url").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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call = call.add_scope(scope);
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}
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let mut ostream = match writer_from_opts(opt.value_of("out")) {
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@@ -277,13 +277,13 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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fn _trainedmodels_insert(&self, opt: &ArgMatches<'n, 'a>, dry_run: bool, err: &mut InvalidOptionsError)
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fn _trainedmodels_insert(&self, opt: &ArgMatches<'n>, dry_run: bool, err: &mut InvalidOptionsError)
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-> Result<(), DoitError> {
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let mut field_cursor = FieldCursor::default();
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let mut object = json::value::Value::Object(Default::default());
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for kvarg in opt.values_of("kv").unwrap_or(Vec::new()).iter() {
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for kvarg in opt.values_of("kv").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let last_errc = err.issues.len();
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let (key, value) = parse_kv_arg(&*kvarg, err, false);
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let mut temp_cursor = field_cursor.clone();
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@@ -297,8 +297,8 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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continue;
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}
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let type_info: Option<(&'static str, JsonTypeInfo)> =
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let type_info: Option<(&'static str, JsonTypeInfo)> =
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match &temp_cursor.to_string()[..] {
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"storage-data-location" => Some(("storageDataLocation", JsonTypeInfo { jtype: JsonType::String, ctype: ComplexType::Pod })),
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"model-type" => Some(("modelType", JsonTypeInfo { jtype: JsonType::String, ctype: ComplexType::Pod })),
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@@ -318,7 +318,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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let mut request: api::Insert = json::value::from_value(object).unwrap();
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let mut call = self.hub.trainedmodels().insert(request, opt.value_of("project").unwrap_or(""));
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for parg in opt.values_of("v").unwrap_or(Vec::new()).iter() {
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for parg in opt.values_of("v").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let (key, value) = parse_kv_arg(&*parg, err, false);
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match key {
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_ => {
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@@ -331,7 +331,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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if !found {
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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{let mut v = Vec::new();
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v.extend(self.gp.iter().map(|v|*v));
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v } ));
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@@ -344,7 +344,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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Ok(())
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} else {
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assert!(err.issues.len() == 0);
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for scope in self.opt.values_of("url").unwrap_or(Vec::new()).iter() {
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for scope in self.opt.values_of("url").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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call = call.add_scope(scope);
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}
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let mut ostream = match writer_from_opts(opt.value_of("out")) {
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@@ -367,10 +367,10 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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fn _trainedmodels_list(&self, opt: &ArgMatches<'n, 'a>, dry_run: bool, err: &mut InvalidOptionsError)
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fn _trainedmodels_list(&self, opt: &ArgMatches<'n>, dry_run: bool, err: &mut InvalidOptionsError)
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-> Result<(), DoitError> {
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let mut call = self.hub.trainedmodels().list(opt.value_of("project").unwrap_or(""));
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for parg in opt.values_of("v").unwrap_or(Vec::new()).iter() {
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for parg in opt.values_of("v").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let (key, value) = parse_kv_arg(&*parg, err, false);
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match key {
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"page-token" => {
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@@ -389,7 +389,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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if !found {
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
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{let mut v = Vec::new();
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v.extend(self.gp.iter().map(|v|*v));
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v.extend(["page-token", "max-results"].iter().map(|v|*v));
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@@ -403,7 +403,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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Ok(())
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} else {
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assert!(err.issues.len() == 0);
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for scope in self.opt.values_of("url").unwrap_or(Vec::new()).iter() {
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for scope in self.opt.values_of("url").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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call = call.add_scope(scope);
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}
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let mut ostream = match writer_from_opts(opt.value_of("out")) {
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@@ -426,13 +426,13 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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}
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fn _trainedmodels_predict(&self, opt: &ArgMatches<'n, 'a>, dry_run: bool, err: &mut InvalidOptionsError)
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fn _trainedmodels_predict(&self, opt: &ArgMatches<'n>, dry_run: bool, err: &mut InvalidOptionsError)
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-> Result<(), DoitError> {
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let mut field_cursor = FieldCursor::default();
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let mut object = json::value::Value::Object(Default::default());
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for kvarg in opt.values_of("kv").unwrap_or(Vec::new()).iter() {
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for kvarg in opt.values_of("kv").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let last_errc = err.issues.len();
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let (key, value) = parse_kv_arg(&*kvarg, err, false);
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let mut temp_cursor = field_cursor.clone();
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@@ -446,8 +446,8 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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continue;
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}
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let type_info: Option<(&'static str, JsonTypeInfo)> =
|
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let type_info: Option<(&'static str, JsonTypeInfo)> =
|
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match &temp_cursor.to_string()[..] {
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_ => {
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let suggestion = FieldCursor::did_you_mean(key, &vec![]);
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@@ -461,7 +461,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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}
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let mut request: api::Input = json::value::from_value(object).unwrap();
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let mut call = self.hub.trainedmodels().predict(request, opt.value_of("project").unwrap_or(""), opt.value_of("id").unwrap_or(""));
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for parg in opt.values_of("v").unwrap_or(Vec::new()).iter() {
|
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for parg in opt.values_of("v").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
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let (key, value) = parse_kv_arg(&*parg, err, false);
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match key {
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_ => {
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@@ -474,7 +474,7 @@ impl<'n, 'a> Engine<'n, 'a> {
|
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}
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}
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if !found {
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
|
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err.issues.push(CLIError::UnknownParameter(key.to_string(),
|
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{let mut v = Vec::new();
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v.extend(self.gp.iter().map(|v|*v));
|
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v } ));
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@@ -487,7 +487,7 @@ impl<'n, 'a> Engine<'n, 'a> {
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Ok(())
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} else {
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assert!(err.issues.len() == 0);
|
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for scope in self.opt.values_of("url").unwrap_or(Vec::new()).iter() {
|
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for scope in self.opt.values_of("url").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
|
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call = call.add_scope(scope);
|
||||
}
|
||||
let mut ostream = match writer_from_opts(opt.value_of("out")) {
|
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@@ -510,13 +510,13 @@ impl<'n, 'a> Engine<'n, 'a> {
|
||||
}
|
||||
}
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fn _trainedmodels_update(&self, opt: &ArgMatches<'n, 'a>, dry_run: bool, err: &mut InvalidOptionsError)
|
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fn _trainedmodels_update(&self, opt: &ArgMatches<'n>, dry_run: bool, err: &mut InvalidOptionsError)
|
||||
-> Result<(), DoitError> {
|
||||
|
||||
let mut field_cursor = FieldCursor::default();
|
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let mut object = json::value::Value::Object(Default::default());
|
||||
|
||||
for kvarg in opt.values_of("kv").unwrap_or(Vec::new()).iter() {
|
||||
for kvarg in opt.values_of("kv").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
|
||||
let last_errc = err.issues.len();
|
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let (key, value) = parse_kv_arg(&*kvarg, err, false);
|
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let mut temp_cursor = field_cursor.clone();
|
||||
@@ -530,8 +530,8 @@ impl<'n, 'a> Engine<'n, 'a> {
|
||||
}
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continue;
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}
|
||||
|
||||
let type_info: Option<(&'static str, JsonTypeInfo)> =
|
||||
|
||||
let type_info: Option<(&'static str, JsonTypeInfo)> =
|
||||
match &temp_cursor.to_string()[..] {
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"output" => Some(("output", JsonTypeInfo { jtype: JsonType::String, ctype: ComplexType::Pod })),
|
||||
_ => {
|
||||
@@ -546,7 +546,7 @@ impl<'n, 'a> Engine<'n, 'a> {
|
||||
}
|
||||
let mut request: api::Update = json::value::from_value(object).unwrap();
|
||||
let mut call = self.hub.trainedmodels().update(request, opt.value_of("project").unwrap_or(""), opt.value_of("id").unwrap_or(""));
|
||||
for parg in opt.values_of("v").unwrap_or(Vec::new()).iter() {
|
||||
for parg in opt.values_of("v").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
|
||||
let (key, value) = parse_kv_arg(&*parg, err, false);
|
||||
match key {
|
||||
_ => {
|
||||
@@ -559,7 +559,7 @@ impl<'n, 'a> Engine<'n, 'a> {
|
||||
}
|
||||
}
|
||||
if !found {
|
||||
err.issues.push(CLIError::UnknownParameter(key.to_string(),
|
||||
err.issues.push(CLIError::UnknownParameter(key.to_string(),
|
||||
{let mut v = Vec::new();
|
||||
v.extend(self.gp.iter().map(|v|*v));
|
||||
v } ));
|
||||
@@ -572,7 +572,7 @@ impl<'n, 'a> Engine<'n, 'a> {
|
||||
Ok(())
|
||||
} else {
|
||||
assert!(err.issues.len() == 0);
|
||||
for scope in self.opt.values_of("url").unwrap_or(Vec::new()).iter() {
|
||||
for scope in self.opt.values_of("url").map(|i|i.collect()).unwrap_or(Vec::new()).iter() {
|
||||
call = call.add_scope(scope);
|
||||
}
|
||||
let mut ostream = match writer_from_opts(opt.value_of("out")) {
|
||||
@@ -657,14 +657,14 @@ impl<'n, 'a> Engine<'n, 'a> {
|
||||
}
|
||||
|
||||
// Please note that this call will fail if any part of the opt can't be handled
|
||||
fn new(opt: ArgMatches<'a, 'n>) -> Result<Engine<'a, 'n>, InvalidOptionsError> {
|
||||
fn new(opt: ArgMatches<'n>) -> Result<Engine<'n>, InvalidOptionsError> {
|
||||
let (config_dir, secret) = {
|
||||
let config_dir = match cmn::assure_config_dir_exists(opt.value_of("folder").unwrap_or("~/.google-service-cli")) {
|
||||
Err(e) => return Err(InvalidOptionsError::single(e, 3)),
|
||||
Ok(p) => p,
|
||||
};
|
||||
|
||||
match cmn::application_secret_from_directory(&config_dir, "prediction1d6-secret.json",
|
||||
match cmn::application_secret_from_directory(&config_dir, "prediction1d6-secret.json",
|
||||
"{\"installed\":{\"auth_uri\":\"https://accounts.google.com/o/oauth2/auth\",\"client_secret\":\"hCsslbCUyfehWMmbkG8vTYxG\",\"token_uri\":\"https://accounts.google.com/o/oauth2/token\",\"client_email\":\"\",\"redirect_uris\":[\"urn:ietf:wg:oauth:2.0:oob\",\"oob\"],\"client_x509_cert_url\":\"\",\"client_id\":\"620010449518-9ngf7o4dhs0dka470npqvor6dc5lqb9b.apps.googleusercontent.com\",\"auth_provider_x509_cert_url\":\"https://www.googleapis.com/oauth2/v1/certs\"}}") {
|
||||
Ok(secret) => (config_dir, secret),
|
||||
Err(e) => return Err(InvalidOptionsError::single(e, 4))
|
||||
@@ -684,7 +684,7 @@ impl<'n, 'a> Engine<'n, 'a> {
|
||||
db_dir: config_dir.clone(),
|
||||
}, None);
|
||||
|
||||
let client =
|
||||
let client =
|
||||
if opt.is_present("debug") {
|
||||
hyper::Client::with_connector(mock::TeeConnector {
|
||||
connector: hyper::net::HttpsConnector::<hyper::net::Openssl>::default()
|
||||
@@ -723,7 +723,7 @@ fn main() {
|
||||
let mut exit_status = 0i32;
|
||||
let arg_data = [
|
||||
("hostedmodels", "methods: 'predict'", vec![
|
||||
("predict",
|
||||
("predict",
|
||||
Some(r##"Submit input and request an output against a hosted model."##),
|
||||
"Details at http://byron.github.io/google-apis-rs/google_prediction1d6_cli/hostedmodels_predict",
|
||||
vec![
|
||||
@@ -760,7 +760,7 @@ fn main() {
|
||||
]),
|
||||
|
||||
("trainedmodels", "methods: 'analyze', 'delete', 'get', 'insert', 'list', 'predict' and 'update'", vec![
|
||||
("analyze",
|
||||
("analyze",
|
||||
Some(r##"Get analysis of the model and the data the model was trained on."##),
|
||||
"Details at http://byron.github.io/google-apis-rs/google_prediction1d6_cli/trainedmodels_analyze",
|
||||
vec![
|
||||
@@ -788,7 +788,7 @@ fn main() {
|
||||
Some(false),
|
||||
Some(false)),
|
||||
]),
|
||||
("delete",
|
||||
("delete",
|
||||
Some(r##"Delete a trained model."##),
|
||||
"Details at http://byron.github.io/google-apis-rs/google_prediction1d6_cli/trainedmodels_delete",
|
||||
vec![
|
||||
@@ -810,7 +810,7 @@ fn main() {
|
||||
Some(false),
|
||||
Some(true)),
|
||||
]),
|
||||
("get",
|
||||
("get",
|
||||
Some(r##"Check training status of your model."##),
|
||||
"Details at http://byron.github.io/google-apis-rs/google_prediction1d6_cli/trainedmodels_get",
|
||||
vec![
|
||||
@@ -838,7 +838,7 @@ fn main() {
|
||||
Some(false),
|
||||
Some(false)),
|
||||
]),
|
||||
("insert",
|
||||
("insert",
|
||||
Some(r##"Train a Prediction API model."##),
|
||||
"Details at http://byron.github.io/google-apis-rs/google_prediction1d6_cli/trainedmodels_insert",
|
||||
vec![
|
||||
@@ -866,7 +866,7 @@ fn main() {
|
||||
Some(false),
|
||||
Some(false)),
|
||||
]),
|
||||
("list",
|
||||
("list",
|
||||
Some(r##"List available models."##),
|
||||
"Details at http://byron.github.io/google-apis-rs/google_prediction1d6_cli/trainedmodels_list",
|
||||
vec![
|
||||
@@ -888,7 +888,7 @@ fn main() {
|
||||
Some(false),
|
||||
Some(false)),
|
||||
]),
|
||||
("predict",
|
||||
("predict",
|
||||
Some(r##"Submit model id and request a prediction."##),
|
||||
"Details at http://byron.github.io/google-apis-rs/google_prediction1d6_cli/trainedmodels_predict",
|
||||
vec![
|
||||
@@ -922,7 +922,7 @@ fn main() {
|
||||
Some(false),
|
||||
Some(false)),
|
||||
]),
|
||||
("update",
|
||||
("update",
|
||||
Some(r##"Add new data to a trained model."##),
|
||||
"Details at http://byron.github.io/google-apis-rs/google_prediction1d6_cli/trainedmodels_update",
|
||||
vec![
|
||||
@@ -962,7 +962,7 @@ fn main() {
|
||||
|
||||
let mut app = App::new("prediction1d6")
|
||||
.author("Sebastian Thiel <byronimo@gmail.com>")
|
||||
.version("0.3.2+20140522")
|
||||
.version("0.3.3+20151102")
|
||||
.about("Lets you access a cloud hosted machine learning service that makes it easy to build smart apps")
|
||||
.after_help("All documentation details can be found at http://byron.github.io/google-apis-rs/google_prediction1d6_cli")
|
||||
.arg(Arg::with_name("url")
|
||||
@@ -986,7 +986,7 @@ fn main() {
|
||||
.multiple(false)
|
||||
.takes_value(false));
|
||||
|
||||
for &(main_command_name, ref about, ref subcommands) in arg_data.iter() {
|
||||
for &(main_command_name, about, ref subcommands) in arg_data.iter() {
|
||||
let mut mcmd = SubCommand::with_name(main_command_name).about(about);
|
||||
|
||||
for &(sub_command_name, ref desc, url_info, ref args) in subcommands {
|
||||
@@ -997,7 +997,7 @@ fn main() {
|
||||
scmd = scmd.after_help(url_info);
|
||||
|
||||
for &(ref arg_name, ref flag, ref desc, ref required, ref multi) in args {
|
||||
let arg_name_str =
|
||||
let arg_name_str =
|
||||
match (arg_name, flag) {
|
||||
(&Some(an), _ ) => an,
|
||||
(_ , &Some(f)) => f,
|
||||
|
||||
Reference in New Issue
Block a user