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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<title>Reinforcement Learning: rl_sim.cc</title>
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 <span id="projectnumber">1.1</span>
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<div class="title">rl_sim.cc</div> </div>
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<div class="fragment"><div class="line"><span class="preprocessor">#include "<a class="code" href="api__status_8h.html">api_status.h</a>"</span></div>
<div class="line"><span class="preprocessor">#include "constants.h"</span></div>
<div class="line"><span class="preprocessor">#include "factory_resolver.h"</span></div>
<div class="line"><span class="preprocessor">#include "future_compat.h"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="live__model_8h.html">live_model.h</a>"</span></div>
<div class="line"><span class="preprocessor">#include "multistep.h"</span></div>
<div class="line"><span class="preprocessor">#include "person.h"</span></div>
<div class="line"><span class="preprocessor">#include "rand48.h"</span></div>
<div class="line"><span class="preprocessor">#include "rl_sim_cpp.h"</span></div>
<div class="line"><span class="preprocessor">#include "simulation_stats.h"</span></div>
<div class="line"><span class="preprocessor">#include "trace_logger.h"</span></div>
<div class="line"> </div>
<div class="line"><span class="preprocessor">#include <boost/uuid/random_generator.hpp></span></div>
<div class="line"><span class="preprocessor">#include <boost/uuid/uuid_io.hpp></span></div>
<div class="line"><span class="preprocessor">#include <chrono></span></div>
<div class="line"><span class="preprocessor">#include <cmath></span></div>
<div class="line"><span class="preprocessor">#include <functional></span></div>
<div class="line"><span class="preprocessor">#include <thread></span></div>
<div class="line"> </div>
<div class="line"><span class="keyword">using namespace </span>std;</div>
<div class="line"> </div>
<div class="line">std::string get_dist_str(<span class="keyword">const</span> <a name="_a0"></a><a class="code" href="classreinforcement__learning_1_1ranking__response.html">reinforcement_learning::ranking_response</a>& response);</div>
<div class="line">std::string get_dist_str(<span class="keyword">const</span> reinforcement_learning::slot_response& response);</div>
<div class="line">std::string get_dist_str(<span class="keyword">const</span> reinforcement_learning::slot_entry& response);</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> rl_sim::loop()</div>
<div class="line">{</div>
<div class="line"> <span class="keywordflow">if</span> (!init()) { <span class="keywordflow">return</span> -1; }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">switch</span> (_loop_kind)</div>
<div class="line"> {</div>
<div class="line"> <span class="keywordflow">case</span> CB:</div>
<div class="line"> <span class="keywordflow">return</span> cb_loop();</div>
<div class="line"> <span class="keywordflow">case</span> CA:</div>
<div class="line"> <span class="keywordflow">return</span> ca_loop();</div>
<div class="line"> <span class="keywordflow">case</span> CCB:</div>
<div class="line"> <span class="keywordflow">return</span> ccb_loop();</div>
<div class="line"> <span class="keywordflow">case</span> Slates:</div>
<div class="line"> <span class="keywordflow">return</span> slates_loop();</div>
<div class="line"> <span class="keywordflow">case</span> Multistep:</div>
<div class="line"> <span class="keywordflow">return</span> multistep_loop();</div>
<div class="line"> <span class="keywordflow">default</span>:</div>
<div class="line"> std::cout << <span class="stringliteral">"Invalid loop kind:"</span> << _loop_kind << std::endl;</div>
<div class="line"> <span class="keywordflow">return</span> -1;</div>
<div class="line"> }</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> rl_sim::cb_loop()</div>
<div class="line">{</div>
<div class="line"> r::ranking_response response;</div>
<div class="line"> simulation_stats<size_t> stats;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">while</span> (_run_loop)</div>
<div class="line"> {</div>
<div class="line"> <span class="keyword">auto</span>& p = pick_a_random_person();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_features = p.get_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> action_features = get_action_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_json = create_context_json(context_features, action_features);</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> req_id = create_event_id();</div>
<div class="line"> r::api_status status;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Choose an action</span></div>
<div class="line"> <span class="keywordflow">if</span> (_rl->choose_rank(req_id.c_str(), context_json.c_str(), response, &status) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Use the chosen action</span></div>
<div class="line"> <span class="keywordtype">size_t</span> chosen_action = 0;</div>
<div class="line"> <span class="keywordflow">if</span> (response.get_chosen_action_id(chosen_action) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// What outcome did this action get?</span></div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> outcome = p.get_outcome(_topics[chosen_action], _random_seed);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Report outcome received</span></div>
<div class="line"> <span class="keywordflow">if</span> (_rl->report_outcome(req_id.c_str(), outcome, &status) != err::success && outcome > 0.00001f)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> stats.record(p.id(), chosen_action, outcome);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (!_quiet)</div>
<div class="line"> {</div>
<div class="line"> std::cout << <span class="stringliteral">" "</span> << stats.count() << <span class="stringliteral">", ctxt, "</span> << p.id() << <span class="stringliteral">", action, "</span> << chosen_action << <span class="stringliteral">", outcome, "</span></div>
<div class="line"> << outcome << <span class="stringliteral">", dist, "</span> << get_dist_str(response) << <span class="stringliteral">", "</span> << stats.get_stats(p.id(), chosen_action)</div>
<div class="line"> << std::endl;</div>
<div class="line"> }</div>
<div class="line"> std::this_thread::sleep_for(std::chrono::milliseconds(_delay));</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string create_episode_id(<span class="keywordtype">size_t</span> episode_id)</div>
<div class="line">{</div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> oss << <span class="stringliteral">"episode"</span></div>
<div class="line"> << <span class="stringliteral">"-"</span> << episode_id;</div>
<div class="line"> <span class="keywordflow">return</span> oss.str();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> rl_sim::multistep_loop()</div>
<div class="line">{</div>
<div class="line"> r::ranking_response response;</div>
<div class="line"> simulation_stats<size_t> stats;</div>
<div class="line"> </div>
<div class="line"> <span class="keyword">const</span> <span class="keywordtype">size_t</span> episode_length = 2;</div>
<div class="line"> <span class="keywordtype">size_t</span> episode_indx = 0;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// adjust the event count for the episode length</span></div>
<div class="line"> _num_events *= episode_length;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">while</span> (_run_loop)</div>
<div class="line"> {</div>
<div class="line"> <span class="keyword">const</span> std::string episode_id = create_episode_id(episode_indx++);</div>
<div class="line"> r::api_status status;</div>
<div class="line"> r::episode_state episode(episode_id.c_str());</div>
<div class="line"> </div>
<div class="line"> std::string previous_id;</div>
<div class="line"> <span class="keywordtype">float</span> episodic_outcome = 0;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < episode_length; ++i)</div>
<div class="line"> {</div>
<div class="line"> <span class="keyword">auto</span>& p = pick_a_random_person();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_features = p.get_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> action_features = get_action_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_json = create_context_json(context_features, action_features);</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> req_id = create_event_id();</div>
<div class="line"> </div>
<div class="line"> r::ranking_response response1;</div>
<div class="line"> <span class="keywordflow">if</span> (_rl->request_episodic_decision(req_id.c_str(), i == 0 ? <span class="keyword">nullptr</span> : previous_id.c_str(), context_json.c_str(),</div>
<div class="line"> response, episode, &status) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">return</span> -1;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">size_t</span> chosen_action = 0;</div>
<div class="line"> <span class="keywordflow">if</span> (response.get_chosen_action_id(chosen_action) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> outcome_per_step = p.get_outcome(_topics[chosen_action], _random_seed);</div>
<div class="line"> stats.record(p.id(), chosen_action, outcome_per_step);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (!_quiet)</div>
<div class="line"> {</div>
<div class="line"> std::cout << <span class="stringliteral">" "</span> << stats.count() << <span class="stringliteral">", ctxt, "</span> << p.id() << <span class="stringliteral">", action, "</span> << chosen_action << <span class="stringliteral">", outcome, "</span></div>
<div class="line"> << outcome_per_step << <span class="stringliteral">", dist, "</span> << get_dist_str(response) << <span class="stringliteral">", "</span></div>
<div class="line"> << stats.get_stats(p.id(), chosen_action) << std::endl;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> episodic_outcome += outcome_per_step;</div>
<div class="line"> previous_id = req_id;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (_rl->report_outcome(episode.get_episode_id(), episodic_outcome, &status) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> std::this_thread::sleep_for(std::chrono::milliseconds(_delay));</div>
<div class="line"> }</div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> rl_sim::ca_loop()</div>
<div class="line">{</div>
<div class="line"> r::continuous_action_response response;</div>
<div class="line"> simulation_stats<float> stats;</div>
<div class="line"> <span class="keywordflow">while</span> (_run_loop)</div>
<div class="line"> {</div>
<div class="line"> <span class="keyword">auto</span>& joint = pick_a_random_joint();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_features = joint.get_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_json = create_context_json(context_features);</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> req_id = create_event_id();</div>
<div class="line"> r::api_status status;</div>
<div class="line"> </div>
<div class="line"> RL_IGNORE_DEPRECATED_USAGE_START</div>
<div class="line"> <span class="keywordflow">if</span> (_rl->request_continuous_action(req_id.c_str(), context_json, response, &status) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> RL_IGNORE_DEPRECATED_USAGE_END</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> chosen_action = response.get_chosen_action();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> outcome = joint.get_outcome(chosen_action, _random_seed);</div>
<div class="line"> <span class="keywordflow">if</span> (_rl->report_outcome(req_id.c_str(), outcome, &status) != err::success && outcome > 0.00001f)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> stats.record(joint.id(), chosen_action, outcome);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (!_quiet)</div>
<div class="line"> {</div>
<div class="line"> std::cout << <span class="stringliteral">" "</span> << stats.count() << <span class="stringliteral">" - ctxt: "</span> << joint.id() << <span class="stringliteral">", action: "</span> << chosen_action</div>
<div class="line"> << <span class="stringliteral">", outcome: "</span> << outcome << <span class="stringliteral">", dist: "</span> << response.get_chosen_action_pdf_value() << <span class="stringliteral">", "</span></div>
<div class="line"> << stats.get_stats(joint.id(), chosen_action) << std::endl;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> std::this_thread::sleep_for(std::chrono::milliseconds(_delay));</div>
<div class="line"> }</div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> rl_sim::ccb_loop()</div>
<div class="line">{</div>
<div class="line"> r::multi_slot_response decision;</div>
<div class="line"> simulation_stats<size_t> stats;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">while</span> (_run_loop)</div>
<div class="line"> {</div>
<div class="line"> <span class="keyword">auto</span>& p = pick_a_random_person();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_features = p.get_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> action_features = get_action_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> event_id = create_event_id();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> slot_json = get_slot_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_json = create_context_json(context_features, action_features, slot_json);</div>
<div class="line"> std::cout << context_json << std::endl;</div>
<div class="line"> r::api_status status;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Choose an action</span></div>
<div class="line"> RL_IGNORE_DEPRECATED_USAGE_START</div>
<div class="line"> <span class="keywordflow">if</span> (_rl->request_multi_slot_decision(event_id.c_str(), context_json, decision, &status) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> RL_IGNORE_DEPRECATED_USAGE_END</div>
<div class="line"> </div>
<div class="line"> <span class="keyword">auto</span> index = 0;</div>
<div class="line"> <span class="keywordflow">for</span> (<span class="keyword">auto</span>& response : decision)</div>
<div class="line"> {</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> chosen_action = response.get_action_id();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> outcome = p.get_outcome(_topics[chosen_action], _random_seed);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Report outcome received</span></div>
<div class="line"> <span class="keywordflow">if</span> (_rl->report_outcome(event_id.c_str(), index, outcome, &status) != err::success && outcome > 0.00001f)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> stats.record(p.id(), chosen_action, outcome);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (!_quiet)</div>
<div class="line"> {</div>
<div class="line"> std::cout << <span class="stringliteral">" "</span> << stats.count() << <span class="stringliteral">", ctxt, "</span> << p.id() << <span class="stringliteral">", action, "</span> << chosen_action << <span class="stringliteral">", slot, "</span></div>
<div class="line"> << index << <span class="stringliteral">", outcome, "</span> << outcome << <span class="stringliteral">", dist, "</span> << get_dist_str(response) << <span class="stringliteral">", "</span></div>
<div class="line"> << stats.get_stats(p.id(), chosen_action) << std::endl;</div>
<div class="line"> }</div>
<div class="line"> index++;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> std::this_thread::sleep_for(std::chrono::milliseconds(_delay));</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string get_slates_slot_features(<span class="keywordtype">size_t</span> slot_count)</div>
<div class="line">{</div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> <span class="comment">// example</span></div>
<div class="line"> <span class="comment">// R"("_slots": [ { "slot_id":"__0"}, {"slot_id":"__1"} ])";</span></div>
<div class="line"> oss << R<span class="stringliteral">"("_slots": [ )";</span></div>
<div class="line"><span class="stringliteral"> </span><span class="keywordflow">for</span> (<span class="keyword">auto</span> idx = 0; idx < slot_count - 1; ++idx) { oss << R<span class="stringliteral">"({ "slot_id":"__)" << idx << R</span><span class="stringliteral">"("}, )"; }</span></div>
<div class="line"><span class="stringliteral"> oss << R</span><span class="stringliteral">"({ "slot_id":"__)" << slot_count << R</span><span class="stringliteral">"("}] )";</span></div>
<div class="line"><span class="stringliteral"> </span><span class="keywordflow">return</span> oss.str();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> rl_sim::slates_loop()</div>
<div class="line">{</div>
<div class="line"> r::multi_slot_response decision;</div>
<div class="line"> simulation_stats<size_t> stats;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">while</span> (_run_loop)</div>
<div class="line"> {</div>
<div class="line"> <span class="keyword">auto</span>& p = pick_a_random_person();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_features = p.get_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> action_features = get_slates_action_features();</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> event_id = create_event_id();</div>
<div class="line"> </div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> slot_json = get_slates_slot_features(NUM_SLATES_SLOTS);</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> context_json = create_context_json(context_features, action_features, slot_json);</div>
<div class="line"> std::cout << context_json << std::endl;</div>
<div class="line"> r::api_status status;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Choose an action</span></div>
<div class="line"> RL_IGNORE_DEPRECATED_USAGE_START</div>
<div class="line"> <span class="keywordflow">if</span> (_rl->request_multi_slot_decision(event_id.c_str(), context_json.c_str(), decision, &status) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> RL_IGNORE_DEPRECATED_USAGE_END</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">float</span> outcome = 0;</div>
<div class="line"> <span class="keywordtype">int</span> index = 0;</div>
<div class="line"> <span class="keyword">auto</span> actions_per_slot = _topics.size() / NUM_SLATES_SLOTS;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">for</span> (<span class="keyword">auto</span>& response : decision)</div>
<div class="line"> {</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> chosen_action = response.get_action_id() + index * actions_per_slot;</div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> slot_outcome = p.get_outcome(_topics[chosen_action], _random_seed); <span class="comment">// TODO per-slot weights?</span></div>
<div class="line"> stats.record(event_id, chosen_action, slot_outcome);</div>
<div class="line"> outcome += slot_outcome;</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (!_quiet)</div>
<div class="line"> {</div>
<div class="line"> std::cout << <span class="stringliteral">" "</span> << stats.count() << <span class="stringliteral">", ctxt, "</span> << p.id() << <span class="stringliteral">", action, "</span> << chosen_action << <span class="stringliteral">", slot, "</span></div>
<div class="line"> << index << <span class="stringliteral">", outcome, "</span> << outcome << <span class="stringliteral">", dist, "</span> << get_dist_str(response) << <span class="stringliteral">", "</span></div>
<div class="line"> << stats.get_stats(p.id(), chosen_action) << std::endl;</div>
<div class="line"> }</div>
<div class="line"> index++;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Report outcome received</span></div>
<div class="line"> <span class="keywordflow">if</span> (_rl->report_outcome(event_id.c_str(), outcome, &status) != err::success && outcome > 0.00001f)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">continue</span>;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> std::this_thread::sleep_for(std::chrono::milliseconds(_delay));</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">person& rl_sim::pick_a_random_person()</div>
<div class="line">{</div>
<div class="line"> <span class="keywordtype">size_t</span> idx = <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(rand48(_random_seed) * (_people.size() + 1));</div>
<div class="line"> <span class="keywordflow">return</span> _people[std::min(idx, _people.size() - 1)];</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">joint& rl_sim::pick_a_random_joint()</div>
<div class="line">{</div>
<div class="line"> <span class="keywordtype">size_t</span> idx = <span class="keyword">static_cast<</span><span class="keywordtype">size_t</span><span class="keyword">></span>(rand48(_random_seed) * (_robot_joints.size() + 1));</div>
<div class="line"> <span class="keywordflow">return</span> _robot_joints[std::min(idx, _robot_joints.size() - 1)];</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> rl_sim::load_config_from_json(<span class="keyword">const</span> std::string& file_name, u::configuration& config, r::api_status* status)</div>
<div class="line">{</div>
<div class="line"> std::string config_str;</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Load contents of config file into a string</span></div>
<div class="line"> <a name="a1"></a><a class="code" href="api__status_8h.html#a11385635c23358843d733b2e6f3241c4">RETURN_IF_FAIL</a>(load_file(file_name, config_str, status));</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Use library supplied convenience method to parse json and build config object</span></div>
<div class="line"> <span class="keywordflow">return</span> cfg::create_from_json(config_str, config, <span class="keyword">nullptr</span>, status);</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> rl_sim::load_file(<span class="keyword">const</span> std::string& file_name, std::string& config_str, r::api_status* status)</div>
<div class="line">{</div>
<div class="line"> std::ifstream fs;</div>
<div class="line"> fs.open(file_name);</div>
<div class="line"> <span class="keywordflow">if</span> (!fs.good()) { <a name="a2"></a><a class="code" href="api__status_8h.html#ae53bad0e4f12115d8d210228f0d5c1ae">RETURN_ERROR_LS</a>(<span class="keyword">nullptr</span>, status, invalid_argument) << <span class="stringliteral">"Cannot open file: "</span> << file_name; }</div>
<div class="line"> std::stringstream buffer;</div>
<div class="line"> buffer << fs.rdbuf();</div>
<div class="line"> config_str = buffer.str();</div>
<div class="line"> <span class="keywordflow">return</span> err::success;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">void</span> _on_error(<span class="keyword">const</span> <a name="_a3"></a><a class="code" href="classreinforcement__learning_1_1api__status.html">reinforcement_learning::api_status</a>& status, rl_sim* psim) { psim->on_error(status); }</div>
<div class="line"> </div>
<div class="line"><span class="keyword">struct </span>throughput_tracking_sender : <span class="keyword">public</span> reinforcement_learning::i_sender</div>
<div class="line">{</div>
<div class="line"> throughput_tracking_sender(std::unique_ptr<reinforcement_learning::i_sender> inner_sender, std::string name,</div>
<div class="line"> reinforcement_learning::i_trace* trace, <span class="keywordtype">int</span> print_interval)</div>
<div class="line"> : _inner_sender(std::move(inner_sender)), _name(std::move(name)), _trace(trace), _print_interval(print_interval)</div>
<div class="line"> {</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordtype">int</span> init(</div>
<div class="line"> <span class="keyword">const</span> <a name="_a4"></a><a class="code" href="classreinforcement__learning_1_1utility_1_1configuration.html">reinforcement_learning::utility::configuration</a>& config, <a class="code" href="classreinforcement__learning_1_1api__status.html">reinforcement_learning::api_status</a>* status)<span class="keyword"> override</span></div>
<div class="line"><span class="keyword"> </span>{</div>
<div class="line"> _begin_time = std::chrono::steady_clock::now();</div>
<div class="line"> <span class="keywordflow">return</span> _inner_sender->init(config, status);</div>
<div class="line"> };</div>
<div class="line"> </div>
<div class="line"><span class="keyword">protected</span>:</div>
<div class="line"> <span class="keywordtype">int</span> v_send(<span class="keyword">const</span> buffer& data, <a class="code" href="classreinforcement__learning_1_1api__status.html">reinforcement_learning::api_status</a>* status = <span class="keyword">nullptr</span>)<span class="keyword"> override</span></div>
<div class="line"><span class="keyword"> </span>{</div>
<div class="line"> _bytes_sent += data->buffer_filled_size();</div>
<div class="line"> _messages_sent++;</div>
<div class="line"> _print_counter++;</div>
<div class="line"> <span class="keywordflow">if</span> (_print_counter >= _print_interval)</div>
<div class="line"> {</div>
<div class="line"> <span class="keyword">auto</span> now = std::chrono::steady_clock::now();</div>
<div class="line"> <span class="keyword">auto</span> elapsed = std::chrono::duration_cast<std::chrono::seconds>(now - _begin_time).count();</div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> oss << _name << <span class="stringliteral">" throughput: "</span> << _bytes_sent / elapsed << <span class="stringliteral">" bytes/s, "</span></div>
<div class="line"> << <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(_messages_sent) / elapsed << <span class="stringliteral">" messages/s, "</span> << _bytes_sent << <span class="stringliteral">" total bytes, "</span></div>
<div class="line"> << _messages_sent << <span class="stringliteral">" total messages."</span> << std::endl;</div>
<div class="line"> TRACE_INFO(_trace, oss.str());</div>
<div class="line"> _print_counter = 0;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> _inner_sender->send(data, status);</div>
<div class="line"> };</div>
<div class="line"> </div>
<div class="line"><span class="keyword">private</span>:</div>
<div class="line"> std::unique_ptr<reinforcement_learning::i_sender> _inner_sender;</div>
<div class="line"> std::string _name;</div>
<div class="line"> <span class="keywordtype">size_t</span> _bytes_sent = 0;</div>
<div class="line"> <span class="keywordtype">size_t</span> _messages_sent = 0;</div>
<div class="line"> std::chrono::steady_clock::time_point _begin_time;</div>
<div class="line"> reinforcement_learning::i_trace* _trace;</div>
<div class="line"> <span class="keywordtype">int</span> _print_interval;</div>
<div class="line"> <span class="keywordtype">int</span> _print_counter = 0;</div>
<div class="line">};</div>
<div class="line"> </div>
<div class="line">reinforcement_learning::sender_factory_t::create_fn wrap_sender_generate_for_throughput_sender(<span class="keyword">const</span> std::string& name)</div>
<div class="line">{</div>
<div class="line"> <span class="keywordflow">return</span> [=](std::unique_ptr<reinforcement_learning::i_sender>& retval, <span class="keyword">const</span> u::configuration& cfg,</div>
<div class="line"> reinforcement_learning::error_callback_fn* error_cb, reinforcement_learning::i_trace* trace_logger,</div>
<div class="line"> <a class="code" href="classreinforcement__learning_1_1api__status.html">reinforcement_learning::api_status</a>* status) -> <span class="keywordtype">int</span></div>
<div class="line"> {</div>
<div class="line"> std::unique_ptr<reinforcement_learning::i_sender> sender;</div>
<div class="line"> <span class="keyword">auto</span> res =</div>
<div class="line"> reinforcement_learning::sender_factory.create(sender, name, cfg, std::move(error_cb), trace_logger, status);</div>
<div class="line"> <a class="code" href="api__status_8h.html#a11385635c23358843d733b2e6f3241c4">RETURN_IF_FAIL</a>(res);</div>
<div class="line"> <span class="keyword">auto</span> print_interval = cfg.get_int(<span class="stringliteral">"thoughputsender.printinterval"</span>, 1);</div>
<div class="line"> retval.reset(<span class="keyword">new</span> throughput_tracking_sender(std::move(sender), name, trace_logger, print_interval));</div>
<div class="line"> <span class="keywordflow">return</span> 0;</div>
<div class="line"> };</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">int</span> rl_sim::init_rl()</div>
<div class="line">{</div>
<div class="line"> r::api_status status;</div>
<div class="line"> u::configuration config;</div>
<div class="line"> <span class="comment">// Load configuration from json config file</span></div>
<div class="line"> <span class="keyword">const</span> <span class="keyword">auto</span> config_file = _options[<span class="stringliteral">"json_config"</span>].as<std::string>();</div>
<div class="line"> <span class="keywordflow">if</span> (load_config_from_json(config_file, config, &status) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">return</span> -1;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (_options[<span class="stringliteral">"log_to_file"</span>].as<bool>())</div>
<div class="line"> {</div>
<div class="line"> config.<a name="a5"></a><a class="code" href="classreinforcement__learning_1_1utility_1_1configuration.html#ab856815720398480dda800928e19d191">set</a>(r::name::INTERACTION_SENDER_IMPLEMENTATION, r::value::INTERACTION_FILE_SENDER);</div>
<div class="line"> config.set(r::name::OBSERVATION_SENDER_IMPLEMENTATION, r::value::OBSERVATION_FILE_SENDER);</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (!_options[<span class="stringliteral">"get_model"</span>].as<bool>())</div>
<div class="line"> {</div>
<div class="line"> <span class="comment">// Set the time provider to the clock time provider</span></div>
<div class="line"> config.set(r::name::MODEL_SRC, r::value::NO_MODEL_DATA);</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (_options[<span class="stringliteral">"log_timestamp"</span>].as<bool>())</div>
<div class="line"> {</div>
<div class="line"> <span class="comment">// Set the time provider to the clock time provider</span></div>
<div class="line"> config.set(r::name::TIME_PROVIDER_IMPLEMENTATION, r::value::CLOCK_TIME_PROVIDER);</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Trace log API calls to the console</span></div>
<div class="line"> <span class="keywordflow">if</span> (!_quiet) { config.set(r::name::TRACE_LOG_IMPLEMENTATION, r::value::CONSOLE_TRACE_LOGGER); }</div>
<div class="line"> </div>
<div class="line"> reinforcement_learning::sender_factory_t* sender_factory = &reinforcement_learning::sender_factory;</div>
<div class="line"> reinforcement_learning::sender_factory_t factory;</div>
<div class="line"> <span class="keywordflow">if</span> (_options.count(<span class="stringliteral">"throughput"</span>) != 0u)</div>
<div class="line"> {</div>
<div class="line"> factory.register_type(reinforcement_learning::value::OBSERVATION_EH_SENDER,</div>
<div class="line"> wrap_sender_generate_for_throughput_sender(reinforcement_learning::value::OBSERVATION_EH_SENDER));</div>
<div class="line"> factory.register_type(reinforcement_learning::value::INTERACTION_EH_SENDER,</div>
<div class="line"> wrap_sender_generate_for_throughput_sender(reinforcement_learning::value::INTERACTION_EH_SENDER));</div>
<div class="line"> factory.register_type(reinforcement_learning::value::EPISODE_EH_SENDER,</div>
<div class="line"> wrap_sender_generate_for_throughput_sender(reinforcement_learning::value::EPISODE_EH_SENDER));</div>
<div class="line"> factory.register_type(reinforcement_learning::value::OBSERVATION_HTTP_API_SENDER,</div>
<div class="line"> wrap_sender_generate_for_throughput_sender(reinforcement_learning::value::OBSERVATION_HTTP_API_SENDER));</div>
<div class="line"> factory.register_type(reinforcement_learning::value::INTERACTION_HTTP_API_SENDER,</div>
<div class="line"> wrap_sender_generate_for_throughput_sender(reinforcement_learning::value::INTERACTION_HTTP_API_SENDER));</div>
<div class="line"> factory.register_type(reinforcement_learning::value::EPISODE_HTTP_API_SENDER,</div>
<div class="line"> wrap_sender_generate_for_throughput_sender(reinforcement_learning::value::EPISODE_HTTP_API_SENDER));</div>
<div class="line"> sender_factory = &factory;</div>
<div class="line"> }</div>
<div class="line"> <span class="comment">// probably incompatible with the throughput option?</span></div>
<div class="line"><span class="preprocessor">#ifdef LINK_AZURE_LIBS</span></div>
<div class="line"> <span class="comment">// Note: The azure_oauth_factories switch has been removed since registering the factories by default does not</span></div>
<div class="line"> <span class="comment">// directly utilize the callback. The factory implementations need to be configured in the configuration file</span></div>
<div class="line"> <span class="comment">// for them to function (see factory_resolver.h).</span></div>
<div class="line"> <span class="comment">// Note: If USE_AZURE_FACTORIES is defined, the default factory implementations will be different (see</span></div>
<div class="line"> <span class="comment">// factory_resolver.h).</span></div>
<div class="line"> <span class="comment">// Note: This requires C++14 or better since the Azure libraries require C++14 or better.</span></div>
<div class="line"> <span class="keyword">using namespace </span>std::placeholders;</div>
<div class="line"> reinforcement_learning::oauth_callback_t callback =</div>
<div class="line"> std::bind(&azure_credentials_provider_t::get_token, &_creds, _1, _2, _3, _4);</div>
<div class="line"> reinforcement_learning::register_default_factories_callback(callback);</div>
<div class="line"><span class="preprocessor">#endif</span></div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Initialize the API</span></div>
<div class="line"> _rl = std::unique_ptr<r::live_model>(<span class="keyword">new</span> r::live_model(config, _on_error, <span class="keyword">this</span>,</div>
<div class="line"> &reinforcement_learning::trace_logger_factory, &reinforcement_learning::data_transport_factory,</div>
<div class="line"> &reinforcement_learning::model_factory, sender_factory, &reinforcement_learning::time_provider_factory));</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (_rl->init(&status) != err::success)</div>
<div class="line"> {</div>
<div class="line"> std::cout << status.get_error_msg() << std::endl;</div>
<div class="line"> <span class="keywordflow">return</span> -1;</div>
<div class="line"> }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (!_quiet) { std::cout << <span class="stringliteral">" API Config "</span> << config; }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> err::success;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">bool</span> rl_sim::init_sim_world()</div>
<div class="line">{</div>
<div class="line"> <span class="comment">// Initilize topics</span></div>
<div class="line"> _topics = {<span class="stringliteral">"SkiConditions-VT"</span>, <span class="stringliteral">"HerbGarden"</span>, <span class="stringliteral">"BeyBlades"</span>, <span class="stringliteral">"NYCLiving"</span>, <span class="stringliteral">"MachineLearning"</span>};</div>
<div class="line"> </div>
<div class="line"> _slot_sizes = {<span class="stringliteral">"large"</span>, <span class="stringliteral">"medium"</span>, <span class="stringliteral">"small"</span>};</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Initialize click probability for p1</span></div>
<div class="line"> person::topic_prob tp = {</div>
<div class="line"> {_topics[0], 0.08f}, {_topics[1], 0.03f}, {_topics[2], 0.05f}, {_topics[3], 0.03f}, {_topics[4], 0.25f}};</div>
<div class="line"> _people.emplace_back(<span class="stringliteral">"rnc"</span>, <span class="stringliteral">"engineering"</span>, <span class="stringliteral">"hiking"</span>, <span class="stringliteral">"spock"</span>, tp);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// Initialize click probability for p2</span></div>
<div class="line"> tp = {{_topics[0], 0.08f}, {_topics[1], 0.30f}, {_topics[2], 0.02f}, {_topics[3], 0.02f}, {_topics[4], 0.10f}};</div>
<div class="line"> _people.emplace_back(<span class="stringliteral">"mk"</span>, <span class="stringliteral">"psychology"</span>, <span class="stringliteral">"kids"</span>, <span class="stringliteral">"7of9"</span>, tp);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">bool</span> rl_sim::init_continuous_sim_world()</div>
<div class="line">{</div>
<div class="line"> <span class="comment">// initialize continuous actions robot joints</span></div>
<div class="line"> </div>
<div class="line"> _friction = {25.4f, 41.2f, 66.5f, 81.9f, 104.4f};</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// temperature (C) range: 20.f to 45.f</span></div>
<div class="line"> <span class="comment">// angular velocity range: 0.f to 200.f</span></div>
<div class="line"> <span class="comment">// load range: -60.f to 60.f</span></div>
<div class="line"> </div>
<div class="line"> <span class="comment">// first joint j1</span></div>
<div class="line"> joint::friction_prob fb = {{_friction[0], 0.08f}, {_friction[1], 0.03f}, {_friction[2], 0.05f}, {_friction[3], 0.03f},</div>
<div class="line"> {_friction[4], 0.25f}};</div>
<div class="line"> </div>
<div class="line"> _robot_joints.emplace_back(<span class="stringliteral">"j1"</span>, 20.3, 102.4, -10.2, fb);</div>
<div class="line"> </div>
<div class="line"> <span class="comment">// second joint j2</span></div>
<div class="line"> fb = {{_friction[0], 0.08f}, {_friction[1], 0.30f}, {_friction[2], 0.02f}, {_friction[3], 0.02f},</div>
<div class="line"> {_friction[4], 0.10f}};</div>
<div class="line"> </div>
<div class="line"> _robot_joints.emplace_back(<span class="stringliteral">"j2"</span>, 40.6, 30.8, 98.5, fb);</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">bool</span> rl_sim::init()</div>
<div class="line">{</div>
<div class="line"> <span class="keywordflow">if</span> (init_rl() != err::success) { <span class="keywordflow">return</span> <span class="keyword">false</span>; }</div>
<div class="line"> <span class="keywordflow">if</span> (!init_sim_world()) { <span class="keywordflow">return</span> <span class="keyword">false</span>; }</div>
<div class="line"> <span class="keywordflow">if</span> (!init_continuous_sim_world()) { <span class="keywordflow">return</span> <span class="keyword">false</span>; }</div>
<div class="line"> <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string rl_sim::get_action_features()</div>
<div class="line">{</div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> <span class="comment">// example</span></div>
<div class="line"> <span class="comment">// R"("_multi": [ { "TAction":{"topic":"HerbGarden"} }, { "TAction":{"topic":"MachineLearning"} } ])";</span></div>
<div class="line"> oss << R<span class="stringliteral">"("_multi": [ )";</span></div>
<div class="line"><span class="stringliteral"> </span><span class="keywordflow">for</span> (<span class="keyword">auto</span> idx = 0; idx < _topics.size() - 1; ++idx)</div>
<div class="line"> {</div>
<div class="line"> oss << R<span class="stringliteral">"({ "TAction":{"topic":")" << _topics[idx] << R</span><span class="stringliteral">"("} }, )";</span></div>
<div class="line"><span class="stringliteral"> }</span></div>
<div class="line"><span class="stringliteral"> oss << R</span><span class="stringliteral">"({ "TAction":{"topic":")" << _topics.back() << R</span><span class="stringliteral">"("} } ])";</span></div>
<div class="line"><span class="stringliteral"> </span><span class="keywordflow">return</span> oss.str();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string rl_sim::get_slates_action_features()</div>
<div class="line">{</div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> <span class="comment">// example</span></div>
<div class="line"> <span class="comment">// R"("_multi": [ { "_slot_id": 0, "TAction":{"topic":"HerbGarden"} }, { "_slot_id": 1,</span></div>
<div class="line"> <span class="comment">// "TAction":{"topic":"MachineLearning"} } ])";</span></div>
<div class="line"> oss << R<span class="stringliteral">"("_multi": [ )";</span></div>
<div class="line"><span class="stringliteral"> </span><span class="keywordflow">for</span> (<span class="keyword">auto</span> idx = 0; idx < _topics.size() - 1; ++idx)</div>
<div class="line"> {</div>
<div class="line"> oss << R<span class="stringliteral">"({ "_slot_id":)" << (idx / NUM_SLATES_SLOTS);</span></div>
<div class="line"><span class="stringliteral"> oss << R</span><span class="stringliteral">"(, "TAction":{"topic":")" << _topics[idx] << R</span><span class="stringliteral">"("} }, )";</span></div>
<div class="line"><span class="stringliteral"> }</span></div>
<div class="line"><span class="stringliteral"> oss << R</span><span class="stringliteral">"({ "_slot_id":)" << (NUM_SLATES_SLOTS - 1);</span></div>
<div class="line"><span class="stringliteral"> oss << R</span><span class="stringliteral">"(, "TAction":{"topic":")" << _topics.back() << R</span><span class="stringliteral">"("} } ])";</span></div>
<div class="line"><span class="stringliteral"> </span><span class="keywordflow">return</span> oss.str();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string rl_sim::get_slot_features()</div>
<div class="line">{</div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> <span class="comment">// example</span></div>
<div class="line"> <span class="comment">// R"("_slots": [ { "_size":"large"}, {"_size":"medium"}, {"_size":"small"} ])";</span></div>
<div class="line"> oss << R<span class="stringliteral">"("_slots": [ )";</span></div>
<div class="line"><span class="stringliteral"> </span><span class="keywordflow">for</span> (<span class="keyword">auto</span> idx = 0; idx < NUM_SLOTS - 1; ++idx) { oss << R<span class="stringliteral">"({ "_size":")" << _slot_sizes[idx] << R</span><span class="stringliteral">"("}, )"; }</span></div>
<div class="line"><span class="stringliteral"> oss << R</span><span class="stringliteral">"({ "_size":")" << _slot_sizes.back() << R</span><span class="stringliteral">"("}] )";</span></div>
<div class="line"><span class="stringliteral"> </span><span class="keywordflow">return</span> oss.str();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line"><span class="keywordtype">void</span> rl_sim::on_error(<span class="keyword">const</span> <a class="code" href="classreinforcement__learning_1_1api__status.html">reinforcement_learning::api_status</a>& status)</div>
<div class="line">{</div>
<div class="line"> std::cout << <span class="stringliteral">"Background error in Inference API: "</span> << status.<a name="a6"></a><a class="code" href="classreinforcement__learning_1_1api__status.html#a802af4f7e9d6fab15c20f956b9390db5">get_error_msg</a>() << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"Exiting simulation loop."</span> << std::endl;</div>
<div class="line"> _run_loop = <span class="keyword">false</span>;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string rl_sim::create_context_json(<span class="keyword">const</span> std::string& cntxt)</div>
<div class="line">{</div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> oss << <span class="stringliteral">"{ "</span> << cntxt << <span class="stringliteral">" }"</span>;</div>
<div class="line"> <span class="keywordflow">return</span> oss.str();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string rl_sim::create_context_json(<span class="keyword">const</span> std::string& cntxt, <span class="keyword">const</span> std::string& action)</div>
<div class="line">{</div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> oss << <span class="stringliteral">"{ "</span> << cntxt << <span class="stringliteral">", "</span> << action << <span class="stringliteral">" }"</span>;</div>
<div class="line"> <span class="keywordflow">return</span> oss.str();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string rl_sim::create_context_json(<span class="keyword">const</span> std::string& cntxt, <span class="keyword">const</span> std::string& action, <span class="keyword">const</span> std::string& slots)</div>
<div class="line">{</div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> oss << <span class="stringliteral">"{ "</span> << cntxt << <span class="stringliteral">", "</span> << action << <span class="stringliteral">", "</span> << slots << <span class="stringliteral">" }"</span>;</div>
<div class="line"> <span class="keywordflow">return</span> oss.str();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string rl_sim::create_event_id()</div>
<div class="line">{</div>
<div class="line"> <span class="keywordflow">if</span> (_num_events > 0 && ++_current_events >= _num_events) { _run_loop = <span class="keyword">false</span>; }</div>
<div class="line"> </div>
<div class="line"> <span class="keywordflow">if</span> (_random_ids) { <span class="keywordflow">return</span> boost::uuids::to_string(boost::uuids::random_generator()()); }</div>
<div class="line"> </div>
<div class="line"> std::ostringstream oss;</div>
<div class="line"> oss << <span class="stringliteral">"event_"</span> << _current_events;</div>
<div class="line"> <span class="keywordflow">return</span> oss.str();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">rl_sim::rl_sim(boost::program_options::variables_map vm) : _options(std::move(vm)), _loop_kind(CB)</div>
<div class="line">{</div>
<div class="line"> <span class="keywordflow">if</span> (_options[<span class="stringliteral">"ccb"</span>].as<bool>()) { _loop_kind = CCB; }</div>
<div class="line"> <span class="keywordflow">else</span> <span class="keywordflow">if</span> (_options[<span class="stringliteral">"slates"</span>].as<bool>()) { _loop_kind = Slates; }</div>
<div class="line"> <span class="keywordflow">else</span> <span class="keywordflow">if</span> (_options[<span class="stringliteral">"ca"</span>].as<bool>()) { _loop_kind = CA; }</div>
<div class="line"> <span class="keywordflow">else</span> <span class="keywordflow">if</span> (_options[<span class="stringliteral">"multistep"</span>].as<bool>()) { _loop_kind = Multistep; }</div>
<div class="line"> </div>
<div class="line"> _num_events = _options[<span class="stringliteral">"num_events"</span>].as<<span class="keywordtype">int</span>>();</div>
<div class="line"> _random_seed = _options[<span class="stringliteral">"random_seed"</span>].as<uint64_t>();</div>
<div class="line"> _delay = _options[<span class="stringliteral">"delay"</span>].as<int64_t>();</div>
<div class="line"> _quiet = _options[<span class="stringliteral">"quiet"</span>].as<<span class="keywordtype">bool</span>>();</div>
<div class="line"> _random_ids = _options[<span class="stringliteral">"random_ids"</span>].as<<span class="keywordtype">bool</span>>();</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string get_dist_str(<span class="keyword">const</span> <a class="code" href="classreinforcement__learning_1_1ranking__response.html">reinforcement_learning::ranking_response</a>& response)</div>
<div class="line">{</div>
<div class="line"> std::string ret;</div>
<div class="line"> ret += <span class="stringliteral">"("</span>;</div>
<div class="line"> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& ap_pair : response)</div>
<div class="line"> {</div>
<div class="line"> ret += <span class="stringliteral">"["</span> + to_string(ap_pair.action_id) + <span class="stringliteral">","</span>;</div>
<div class="line"> ret += to_string(ap_pair.probability) + <span class="stringliteral">"]"</span>;</div>
<div class="line"> ret += <span class="stringliteral">" ,"</span>;</div>
<div class="line"> }</div>
<div class="line"> ret += <span class="stringliteral">")"</span>;</div>
<div class="line"> <span class="keywordflow">return</span> ret;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string get_dist_str(<span class="keyword">const</span> reinforcement_learning::slot_response& response)</div>
<div class="line">{</div>
<div class="line"> std::string ret;</div>
<div class="line"> ret += <span class="stringliteral">"("</span>;</div>
<div class="line"> ret += <span class="stringliteral">"["</span> + std::string(response.get_slot_id()) + <span class="stringliteral">","</span>;</div>
<div class="line"> ret += to_string(response.get_action_id()) + <span class="stringliteral">","</span>;</div>
<div class="line"> ret += to_string(response.get_probability()) + <span class="stringliteral">"]"</span>;</div>
<div class="line"> ret += <span class="stringliteral">" ,"</span>;</div>
<div class="line"> ret += <span class="stringliteral">")"</span>;</div>
<div class="line"> <span class="keywordflow">return</span> ret;</div>
<div class="line">}</div>
<div class="line"> </div>
<div class="line">std::string get_dist_str(<span class="keyword">const</span> reinforcement_learning::slot_entry& response)</div>
<div class="line">{</div>
<div class="line"> std::string ret;</div>
<div class="line"> ret += <span class="stringliteral">"("</span>;</div>
<div class="line"> ret += <span class="stringliteral">"["</span> + string(response.get_id()) + <span class="stringliteral">","</span>;</div>
<div class="line"> ret += to_string(response.get_action_id()) + <span class="stringliteral">","</span>;</div>
<div class="line"> ret += to_string(response.get_probability()) + <span class="stringliteral">"]"</span>;</div>
<div class="line"> ret += <span class="stringliteral">" ,"</span>;</div>
<div class="line"> ret += <span class="stringliteral">")"</span>;</div>
<div class="line"> <span class="keywordflow">return</span> ret;</div>
<div class="line">}</div>
<div class="line">std::string get_dist_str(<span class="keyword">const</span> reinforcement_learning::decision_response& response)</div>
<div class="line">{</div>
<div class="line"> std::string ret;</div>
<div class="line"> ret += <span class="stringliteral">"("</span>;</div>
<div class="line"> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& resp : response)</div>
<div class="line"> {</div>
<div class="line"> ret += get_dist_str(resp);</div>
<div class="line"> ret += <span class="stringliteral">" ,"</span>;</div>
<div class="line"> }</div>
<div class="line"> ret += <span class="stringliteral">")"</span>;</div>
<div class="line"> <span class="keywordflow">return</span> ret;</div>
<div class="line">}</div>
<div class="ttc" id="aapi__status_8h_html"><div class="ttname"><a href="api__status_8h.html">api_status.h</a></div><div class="ttdoc">api_status definition. api_status is used to return error information to the caller....</div></div>
<div class="ttc" id="aapi__status_8h_html_a11385635c23358843d733b2e6f3241c4"><div class="ttname"><a href="api__status_8h.html#a11385635c23358843d733b2e6f3241c4">RETURN_IF_FAIL</a></div><div class="ttdeci">#define RETURN_IF_FAIL(x)</div><div class="ttdoc">Error reporting macro to test and return on error.</div><div class="ttdef"><b>Definition:</b> api_status.h:244</div></div>
<div class="ttc" id="aapi__status_8h_html_ae53bad0e4f12115d8d210228f0d5c1ae"><div class="ttname"><a href="api__status_8h.html#ae53bad0e4f12115d8d210228f0d5c1ae">RETURN_ERROR_LS</a></div><div class="ttdeci">#define RETURN_ERROR_LS(trace, status, code)</div><div class="ttdoc">Error reporting macro used with left shift operator.</div><div class="ttdef"><b>Definition:</b> api_status.h:237</div></div>
<div class="ttc" id="aclassreinforcement__learning_1_1api__status_html"><div class="ttname"><a href="classreinforcement__learning_1_1api__status.html">reinforcement_learning::api_status</a></div><div class="ttdoc">Report status of all API calls.</div><div class="ttdef"><b>Definition:</b> api_status.h:22</div></div>
<div class="ttc" id="aclassreinforcement__learning_1_1api__status_html_a802af4f7e9d6fab15c20f956b9390db5"><div class="ttname"><a href="classreinforcement__learning_1_1api__status.html#a802af4f7e9d6fab15c20f956b9390db5">reinforcement_learning::api_status::get_error_msg</a></div><div class="ttdeci">const char * get_error_msg() const</div><div class="ttdoc">(API Error Codes) Get the error msg string All API calls will return a status code....</div></div>
<div class="ttc" id="aclassreinforcement__learning_1_1ranking__response_html"><div class="ttname"><a href="classreinforcement__learning_1_1ranking__response.html">reinforcement_learning::ranking_response</a></div><div class="ttdoc">choose_rank() returns the action choice using ranking_response. ranking_response contains all the act...</div><div class="ttdef"><b>Definition:</b> ranking_response.h:29</div></div>
<div class="ttc" id="aclassreinforcement__learning_1_1utility_1_1configuration_html"><div class="ttname"><a href="classreinforcement__learning_1_1utility_1_1configuration.html">reinforcement_learning::utility::configuration</a></div><div class="ttdoc">Configuration class to initialize the API Represents a collection of (name,value) pairs used to confi...</div><div class="ttdef"><b>Definition:</b> configuration.h:31</div></div>
<div class="ttc" id="aclassreinforcement__learning_1_1utility_1_1configuration_html_ab856815720398480dda800928e19d191"><div class="ttname"><a href="classreinforcement__learning_1_1utility_1_1configuration.html#ab856815720398480dda800928e19d191">reinforcement_learning::utility::configuration::set</a></div><div class="ttdeci">void set(const char *name, const char *value)</div><div class="ttdoc">Sets the value for a given name. It overrides any existing values for that name.</div></div>
<div class="ttc" id="alive__model_8h_html"><div class="ttname"><a href="live__model_8h.html">live_model.h</a></div><div class="ttdoc">RL Inference API definition.</div></div>
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