Commit
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469ab8d
1
Parent(s):
1e9f296
Added hacky local env keys export
Browse files- server.cpp +9 -37
server.cpp
CHANGED
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@@ -12,9 +12,6 @@
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#include <crow.h>
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#include <ranges>
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#include "threadpool.h"
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#include <aws/core/Aws.h>
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#include <aws/s3/S3Client.h>
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#include <aws/s3/model/PutObjectRequest.h>
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#include <sstream>
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#define CROW_MAIN
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@@ -81,35 +78,6 @@ constexpr auto q_to_v(queue<T> qcopy){
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return v;
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}
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constexpr auto stdfopts = std::ios_base::in | std::ios_base::binary;
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static inline auto awssave(){
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auto options = make_shared<Aws::SDKOptions>();
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Aws::InitAPI(*options);
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Aws::Client::ClientConfiguration clientConfig;
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std::shared_ptr<Aws::S3::S3Client> s3_client( new Aws::S3::S3Client(clientConfig)
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, [=](Aws::S3::S3Client* c){
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Aws::ShutdownAPI(*options);
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delete c;
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});
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return [=](const std::string& id){
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Aws::S3::Model::PutObjectRequest request;
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request.SetBucket("models.webaverse.com");
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request.SetKey(id);
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if(auto in = Aws::MakeShared<Aws::FStream>("a", "model.glb", stdfopts); *in){
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request.SetBody(in);
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auto outcome = s3_client->PutObject(request);
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if(outcome.IsSuccess())
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std::cout << "Added '" << id << "' to bucket 'models.webaverse.com'\n";
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else
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std::cerr << "AWS S3 Error: " << outcome.GetError().GetMessage() << "\n";
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return outcome.IsSuccess();
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} else {
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std::cerr << "No such file: model.glb\n";
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return false;
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}
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};
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}
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int main(){
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crow::SimpleApp app;
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typedef std::array<string, 2> guy;
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@@ -147,7 +115,10 @@ int main(){
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CROW_LOG_INFO << "Launched training for prompt: " + prompt;
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run("rm -rf trial/checkpoints/*");
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run(train(prompt));
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CROW_LOG_INFO << run(
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run("rm model.glb");
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CROW_LOG_INFO << "Finished training for prompt: " + prompt;
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poppe();
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@@ -161,13 +132,14 @@ int main(){
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CROW_LOG_INFO << name << " queued with prompt: " << prompt;
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};
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CROW_ROUTE(app, "/create
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.methods("GET"_method, "POST"_method)([=](const crow::request& req
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if(auto id = uid(prompt); prompt.empty()){
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CROW_LOG_INFO << "No prompt specified";
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return "Error: Can't train a NeRF without a prompt!";
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} else {
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if(auto r = check_queue(id); r < 0){
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enqueue({id, prompt});
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pool->enqueue(training_loop);
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#include <crow.h>
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#include <ranges>
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#include "threadpool.h"
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#include <sstream>
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#define CROW_MAIN
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return v;
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}
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int main(){
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crow::SimpleApp app;
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typedef std::array<string, 2> guy;
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CROW_LOG_INFO << "Launched training for prompt: " + prompt;
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run("rm -rf trial/checkpoints/*");
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run(train(prompt));
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CROW_LOG_INFO << run(
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string( "export AWS_SECRET_ACCESS_KEY=$(cat .env.local | grep AWS_SECRET | cut -d \"\"\" -f 2) ")
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+ "&& export AWS_ACCESS_KEY=$(cat .env.local | grep AWS_ACCESS | cut -d \"\"\" -f 2) "
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+ "&& aws s3 cp model.glb s3://models.webaverse.com/" + id + ".glb");
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run("rm model.glb");
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CROW_LOG_INFO << "Finished training for prompt: " + prompt;
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poppe();
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CROW_LOG_INFO << name << " queued with prompt: " << prompt;
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};
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CROW_ROUTE(app, "/create")
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.methods("GET"_method, "POST"_method)([=](const crow::request& req) -> string {
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if(auto prompt = req.url_params.get("prompt"); prompt == nullptr){
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CROW_LOG_INFO << "No prompt specified";
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return "Error: Can't train a NeRF without a prompt!";
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} else {
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CROW_LOG_INFO << prompt << " commissioned";
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auto id = uid(prompt);
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if(auto r = check_queue(id); r < 0){
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enqueue({id, prompt});
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pool->enqueue(training_loop);
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