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| </pre><pre class="rust"><code><span class="comment">// Licensed to the Apache Software Foundation (ASF) under one |
| // or more contributor license agreements. See the NOTICE file |
| // distributed with this work for additional information |
| // regarding copyright ownership. The ASF licenses this file |
| // to you under the Apache License, Version 2.0 (the |
| // "License"); you may not use this file except in compliance |
| // with the License. You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, |
| // software distributed under the License is distributed on an |
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| // KIND, either express or implied. See the License for the |
| // specific language governing permissions and limitations |
| // under the License. |
| |
| </span><span class="kw">use </span>std::format; |
| <span class="kw">use </span>std::io::{<span class="self">self</span>, BufRead, BufReader, Write}; |
| |
| <span class="kw">use </span>teaclave_types::{FunctionArguments, FunctionRuntime}; |
| |
| <span class="kw">use </span>gbdt::decision_tree::Data; |
| <span class="kw">use </span>gbdt::gradient_boost::GBDT; |
| |
| <span class="kw">const </span>IN_MODEL: <span class="kw-2">&</span>str = <span class="string">"model_file"</span>; |
| <span class="kw">const </span>IN_DATA: <span class="kw-2">&</span>str = <span class="string">"data_file"</span>; |
| <span class="kw">const </span>OUT_RESULT: <span class="kw-2">&</span>str = <span class="string">"result_file"</span>; |
| |
| <span class="attribute">#[derive(Default)] |
| </span><span class="kw">pub struct </span>GbdtPredict; |
| |
| <span class="kw">impl </span>GbdtPredict { |
| <span class="kw">pub const </span>NAME: <span class="kw-2">&</span><span class="lifetime">'static </span>str = <span class="string">"builtin-gbdt-predict"</span>; |
| |
| <span class="kw">pub fn </span>new() -> <span class="self">Self </span>{ |
| Default::default() |
| } |
| |
| <span class="kw">pub fn </span>run( |
| <span class="kw-2">&</span><span class="self">self</span>, |
| _arguments: FunctionArguments, |
| runtime: FunctionRuntime, |
| ) -> anyhow::Result<String> { |
| <span class="kw">let </span><span class="kw-2">mut </span>json_model = String::new(); |
| <span class="kw">let </span><span class="kw-2">mut </span>f = runtime.open_input(IN_MODEL)<span class="question-mark">?</span>; |
| f.read_to_string(<span class="kw-2">&mut </span>json_model)<span class="question-mark">?</span>; |
| |
| <span class="kw">let </span>model: GBDT = serde_json::from_str(<span class="kw-2">&</span>json_model)<span class="question-mark">?</span>; |
| |
| <span class="kw">let </span>in_data = runtime.open_input(IN_DATA)<span class="question-mark">?</span>; |
| <span class="kw">let </span>test_data = parse_test_data(in_data)<span class="question-mark">?</span>; |
| |
| <span class="kw">let </span>predict_set = model.predict(<span class="kw-2">&</span>test_data); |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>of_result = runtime.create_output(OUT_RESULT)<span class="question-mark">?</span>; |
| <span class="kw">for </span>predict_value <span class="kw">in </span>predict_set.iter() { |
| <span class="macro">writeln!</span>(<span class="kw-2">&mut </span>of_result, <span class="string">"{:.10}"</span>, predict_value)<span class="question-mark">? |
| </span>} |
| |
| <span class="kw">let </span>summary = <span class="macro">format!</span>(<span class="string">"Predict result has {} lines of data."</span>, predict_set.len()); |
| <span class="prelude-val">Ok</span>(summary) |
| } |
| } |
| |
| <span class="kw">fn </span>parse_data_line(line: <span class="kw-2">&</span>str) -> anyhow::Result<Data> { |
| <span class="kw">let </span>trimed_line = line.trim(); |
| <span class="macro">anyhow::ensure!</span>(!trimed_line.is_empty(), <span class="string">"Empty line"</span>); |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>features: Vec<f32> = Vec::new(); |
| <span class="kw">for </span>feature_str <span class="kw">in </span>trimed_line.split(<span class="string">','</span>) { |
| <span class="kw">let </span>trimed_feature_str = feature_str.trim(); |
| <span class="macro">anyhow::ensure!</span>(!trimed_feature_str.is_empty(), <span class="string">"Empty feature"</span>); |
| |
| <span class="kw">let </span>feature: f32 = trimed_feature_str.parse()<span class="question-mark">?</span>; |
| features.push(feature); |
| } |
| <span class="prelude-val">Ok</span>(Data::new_test_data(features, <span class="prelude-val">None</span>)) |
| } |
| |
| <span class="kw">fn </span>parse_test_data(input: <span class="kw">impl </span>io::Read) -> anyhow::Result<Vec<Data>> { |
| <span class="kw">let </span><span class="kw-2">mut </span>samples: Vec<Data> = Vec::new(); |
| |
| <span class="kw">let </span>reader = BufReader::new(input); |
| <span class="kw">for </span>line_result <span class="kw">in </span>reader.lines() { |
| <span class="kw">let </span>line = line_result<span class="question-mark">?</span>; |
| <span class="kw">let </span>data = parse_data_line(<span class="kw-2">&</span>line)<span class="question-mark">?</span>; |
| samples.push(data); |
| } |
| |
| <span class="prelude-val">Ok</span>(samples) |
| } |
| |
| <span class="attribute">#[cfg(feature = <span class="string">"enclave_unit_test"</span>)] |
| </span><span class="kw">pub mod </span>tests { |
| <span class="kw">use super</span>::<span class="kw-2">*</span>; |
| <span class="kw">use </span>std::untrusted::fs; |
| <span class="kw">use </span>teaclave_crypto::<span class="kw-2">*</span>; |
| <span class="kw">use </span>teaclave_runtime::<span class="kw-2">*</span>; |
| <span class="kw">use </span>teaclave_test_utils::<span class="kw-2">*</span>; |
| <span class="kw">use </span>teaclave_types::<span class="kw-2">*</span>; |
| |
| <span class="kw">pub fn </span>run_tests() -> bool { |
| <span class="macro">run_tests!</span>(test_gbdt_prediction) |
| } |
| |
| <span class="kw">fn </span>test_gbdt_prediction() { |
| <span class="kw">let </span>arguments = FunctionArguments::default(); |
| |
| <span class="kw">let </span>plain_model = <span class="string">"fixtures/functions/gbdt_prediction/model.txt"</span>; |
| <span class="kw">let </span>plain_data = <span class="string">"fixtures/functions/gbdt_prediction/test_data.txt"</span>; |
| <span class="kw">let </span>plain_output = <span class="string">"fixtures/functions/gbdt_prediction/result.txt.out"</span>; |
| <span class="kw">let </span>expected_output = <span class="string">"fixtures/functions/gbdt_prediction/expected_result.txt"</span>; |
| |
| <span class="kw">let </span>input_files = StagedFiles::new(<span class="macro">hashmap!</span>( |
| IN_MODEL => |
| StagedFileInfo::new(plain_model, TeaclaveFile128Key::random(), FileAuthTag::mock()), |
| IN_DATA => |
| StagedFileInfo::new(plain_data, TeaclaveFile128Key::random(), FileAuthTag::mock()) |
| )); |
| |
| <span class="kw">let </span>output_files = StagedFiles::new(<span class="macro">hashmap!</span>( |
| OUT_RESULT => |
| StagedFileInfo::new(plain_output, TeaclaveFile128Key::random(), FileAuthTag::mock()) |
| )); |
| |
| <span class="kw">let </span>runtime = Box::new(RawIoRuntime::new(input_files, output_files)); |
| |
| <span class="kw">let </span>summary = GbdtPredict::new().run(arguments, runtime).unwrap(); |
| <span class="macro">assert_eq!</span>(summary, <span class="string">"Predict result has 30 lines of data."</span>); |
| |
| <span class="kw">let </span>result = fs::read_to_string(plain_output).unwrap(); |
| <span class="kw">let </span>expected = fs::read_to_string(expected_output).unwrap(); |
| <span class="macro">assert_eq!</span>(<span class="kw-2">&</span>result[..], <span class="kw-2">&</span>expected[..]); |
| } |
| } |
| </code></pre></div> |
| </section></div></main><div id="rustdoc-vars" data-root-path="../../" data-current-crate="teaclave_function" data-themes="ayu,dark,light" data-resource-suffix="" data-rustdoc-version="1.66.0-nightly (5c8bff74b 2022-10-21)" ></div></body></html> |
