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Volunteers.cpp
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#include <cmath>
#include <string>
#include <vector>
#include <unordered_map>
#include <iostream>
#include <matplot/matplot.h>
#include <algorithm>
#include <random>
class Volunteer {
public:
Volunteer(size_t num, std::string named) :id(num), name(named) {}
std::string name;
std::vector<size_t> jobIds;
size_t id;
};
class Job {
public:
Job(size_t num, std::string named, size_t needed) : id(num), name(named), volunteersNeeded(needed) {}
std::string name;
size_t id, volunteersNeeded;
};
void doVolunteerJobs() {
size_t maxNameSize = 0;
// PREP
std::vector<std::string> jobNames = { "Arrange Chairs", "Bring Snacks", "Clean Up", "Distribute Pamphlets", "Entertainment", "Food Prep" };
std::vector<std::string> volunteerNames = { "Alice", "Brianna", "Charlie", "Doug", "Edward", "Foster", "Gregory"};
size_t maxJobs = jobNames.size();
int needed = 4;
std::unordered_map<size_t, Job*> jobMap;
for (size_t i = 0; i < maxJobs; i++ ) {
auto job = new Job(i, jobNames[i], needed > 1?needed--:1);
jobMap[job->id] = job;
}
size_t numVolunteers = volunteerNames.size();
std::unordered_map<size_t, Volunteer*> volunteerMap;
for (size_t i = 0; i < numVolunteers; i++) {
auto volunteer = new Volunteer(i + maxJobs, volunteerNames[i]);
maxNameSize = max(maxNameSize, volunteer->name.length());
volunteerMap[volunteer->id] = volunteer;
for (int j = 0; j < maxJobs; j++) {
volunteer->jobIds.push_back(j);
}
unsigned seed = (unsigned)i;
std::shuffle(volunteer->jobIds.begin(), volunteer->jobIds.end(), std::default_random_engine(seed));
volunteer->jobIds.erase(volunteer->jobIds.begin(), volunteer->jobIds.begin() + 3);
}
//ASSIGN
// ordered by weight
std::vector<std::pair<size_t, size_t>> edges;
std::vector<size_t> edgeWeights;
std::vector<std::vector<size_t>> edgesGroupedByWeights;
std::vector<size_t> edgeIndexByWeight;
for (int i = 0; i < 5; i++) {
edgesGroupedByWeights.push_back( std::vector<size_t>(0));
}
// std::fill_n(edgesGroupedByWeights.begin(), 5, std::vector<size_t>());
// assemble job/volunteer edges (keep them indexed)
for (auto volIter = volunteerMap.begin(); volIter != volunteerMap.end(); volIter++) {
auto jobBegin = volIter->second->jobIds.begin();
for (auto jobIter = jobBegin; jobIter != volIter->second->jobIds.end(); jobIter++) {
size_t distance = jobIter - jobBegin;
size_t desire = (distance < 3) ? 4 - distance : 1;
auto edgeIndex = edges.size();
edgeWeights.push_back(desire);
edges.push_back({ volIter->second->id, *jobIter });
// weight is backwards
edgesGroupedByWeights[4-desire].push_back(edgeIndex);
}
}
for (size_t i = 0; i < 4; i++) {
edgeIndexByWeight.insert(edgeIndexByWeight.end(), edgesGroupedByWeights[i].begin(), edgesGroupedByWeights[i].end());
}
std::vector<size_t> assignedEdgeIndexByWeight;
std::vector<size_t> assignedJobs(jobMap.size());
std::fill_n(assignedJobs.begin(), jobMap.size(), 0);
std::unordered_map<size_t, std::vector<size_t>> volunteerIdByJobId(jobMap.size());
std::unordered_map<size_t, std::vector<size_t>> jobAssignmentsByVolunteerId(volunteerMap.size());
for (size_t i = 0; i < maxJobs; i++) {
volunteerIdByJobId.insert({i, std::vector<size_t>()});
}
for (auto it = volunteerMap.begin(); it != volunteerMap.end(); it++) {
jobAssignmentsByVolunteerId.insert({ it->first, std::vector<size_t>() });
}
// standins?
// iterate from highest weight to lowest
// note job Id is the same as job index
for (auto edgeIndexIter = edgeIndexByWeight.begin(); edgeIndexIter != edgeIndexByWeight.end(); edgeIndexIter++) {
auto edge = edges[*edgeIndexIter];
auto volunteerId = edge.first;
auto jobId = edge.second;
auto needed = jobMap[jobId]->volunteersNeeded;
if (assignedJobs[jobId] < needed) {
assignedEdgeIndexByWeight.push_back(*edgeIndexIter);
assignedJobs[jobId]++;
jobAssignmentsByVolunteerId[volunteerId].push_back(jobId);
volunteerIdByJobId[jobId].push_back(volunteerId);
}
else {
// add to standby list
}
}
//DISPLAY
std::vector<std::string> nodeNames;
std::cout << "Volunteers: " << std::endl;
for (auto volIter = volunteerMap.begin(); volIter != volunteerMap.end(); volIter++) {
std::cout << volIter->first << " " << volIter->second->name << " wants to" << std::endl;
auto jobBegin = volIter->second->jobIds.begin();
for (auto jobIter = jobBegin; jobIter != volIter->second->jobIds.end(); jobIter++) {
std::cout << "\t" << *jobIter << " " << jobMap[*jobIter]->name << std::endl;
}
std::cout << "Assigned to:" << std::endl;
auto assignedJobs = jobAssignmentsByVolunteerId[volIter->second->id];
for (auto jobIter = assignedJobs.begin(); jobIter != assignedJobs.end(); jobIter++) {
std::cout << "\t" << jobMap[*jobIter]->name << std::endl;
}
std::cout << std::endl;
}
std::cout << std::endl;
std::cout << "Jobs: " << std::endl;
for (auto jobIter = jobMap.begin(); jobIter != jobMap.end(); jobIter++) {
std::cout << jobIter->first << " " << jobIter->second->name << " needs " << jobIter->second->volunteersNeeded << ":" ;
auto assignedVolunteers = volunteerIdByJobId[jobIter->second->id];
for (auto volunteerIter = assignedVolunteers.begin(); volunteerIter != assignedVolunteers.end(); volunteerIter++) {
std::cout << " " << volunteerMap[*volunteerIter]->name;
}
std::cout << std::endl;
}
std::cout << std::endl;
std::cout << "Assignments: " << std::endl;
for (auto assignmentIter = assignedEdgeIndexByWeight.begin(); assignmentIter != assignedEdgeIndexByWeight.end(); assignmentIter++) {
auto assignedEdge = *assignmentIter;
auto edge = edges[assignedEdge];
auto volunteerId = edge.first;
auto jobId = edge.second;
auto volunteer = volunteerMap[volunteerId];
auto job = jobMap[jobId];
// TODO: use the precalculated weight
auto jobBegin = volunteer->jobIds.begin();
auto jobIter = find(jobBegin, volunteer->jobIds.end(), jobId);
size_t distance = jobIter - jobBegin;
size_t desire = (distance < 3) ? 4 - distance : 1;
std::cout << std::setfill(' ') << std::setw(maxNameSize) << volunteer->name << " will " << job->name << " with a score of " << desire << std::endl;
}
std::cout << std::endl;
nodeNames.reserve(jobNames.size() + volunteerNames.size()); // preallocate memory
nodeNames.insert(nodeNames.end(), jobNames.begin(), jobNames.end());
nodeNames.insert(nodeNames.end(), volunteerNames.begin(), volunteerNames.end());
auto g = matplot::graph(edges);
//g->edge_labels(weights);
g->node_labels(nodeNames);// array of labels for the nodes
auto colors = std::vector<double>(nodeNames.size());
size_t count = 0;
std::generate(colors.begin(), colors.end(), [&]() { return (count++ < maxJobs)?0:1; });
g->marker_colors(colors);
auto y = std::vector<double>(nodeNames.size());
count = 0;
std::generate(y.begin(), y.end(), [&]() { return (count++ < maxJobs) ? -0.5+(count*0.1) : 0.5 + (count * 0.1); });
g->y_data(y);
auto line_widths = std::vector<double>();
for (auto edgeIter = edgeWeights.begin(); edgeIter != edgeWeights.end(); edgeIter++) {
line_widths.push_back(0.01);
}
for (auto assignmentIter = assignedEdgeIndexByWeight.begin(); assignmentIter != assignedEdgeIndexByWeight.end(); assignmentIter++) {
auto assignedEdge = *assignmentIter;
line_widths[assignedEdge] = 0.05;
auto edge = edges[assignedEdge];
auto volunteerId = edge.first;
auto jobId = edge.second;
auto volunteer = volunteerMap[volunteerId];
auto job = jobMap[jobId];
std::cout << std::setfill(' ') << std::setw(maxNameSize) << volunteer->name << " doing " << job->name << std::endl;
}
g->line_widths(line_widths);
// g->edge_labels(edgeWeights);
matplot::show();
}