diff --git a/AStar.cpp b/AStar.cpp new file mode 100644 index 0000000..94fcb9b --- /dev/null +++ b/AStar.cpp @@ -0,0 +1,155 @@ +// // AStar.cpp +// #include "AStar.h" +// #include "Haversine.h" +// #include +// #include +// #include + +// std::vector aStarSearch(double startLat, double startLon, double targetPrice, const std::vector& properties) { +// std::priority_queue, std::greater> openSet; +// std::unordered_map allNodes; // Track nodes by ID for efficient access + +// // Initialize the start node +// Property virtualStart = {0.0, startLat, startLon}; // Dummy price 0.0 +// Node startNode = {0, 0.0, std::abs(properties[0].price - targetPrice), virtualStart, nullptr}; +// openSet.push(startNode); +// allNodes[0] = startNode; + +// // A set of closed nodes to avoid revisiting +// std::set closedSet; + +// Node bestGoalNode; // Store the best goal found +// bool goalFound = false; + +// // A* Algorithm Loop +// while (!openSet.empty()) { +// Node current = openSet.top(); +// openSet.pop(); + +// // // Check if the current node is a valid goal (closest to target price) +// // if (std::abs(current.property.price - targetPrice) < std::abs(bestGoalNode.property.price - targetPrice)) { +// // bestGoalNode = current; +// // } + +// // If this node is closer to the target price, update the goal +// if (!goalFound || std::abs(current.property.price - targetPrice) < std::abs(bestGoalNode.property.price - targetPrice)) { +// bestGoalNode = current; +// goalFound = true; +// } + +// closedSet.insert(current.id); + +// // Iterate over neighbors +// for (size_t i = 0; i < properties.size(); ++i) { +// if (closedSet.count(i)) continue; + +// double tentativeGCost = current.gCost + haversine(current.property.latitude, current.property.longitude, properties[i].latitude, properties[i].longitude); +// double hCost = std::abs(properties[i].price - targetPrice) + haversine(properties[i].latitude, properties[i].longitude, startLat, startLon); + +// Node neighbor = {static_cast(i), tentativeGCost, hCost, properties[i], &allNodes[current.id]}; + +// if (!allNodes.count(i) || tentativeGCost < allNodes[i].gCost) { +// openSet.push(neighbor); +// allNodes[i] = neighbor; +// } +// } +// } + +// // Backtrace to retrieve the path +// std::vector path; +// while (bestGoalNode.parent != nullptr) { +// path.push_back(bestGoalNode.property); +// bestGoalNode = *bestGoalNode.parent; +// } + +// path.push_back(virtualStart); +// std::reverse(path.begin(), path.end()); +// return path; +// } + + +#include "AStar.h" +#include "Haversine.h" +#include +#include +#include +#include +#include + +std::vector aStarSearch(double startLat, double startLon, double targetPrice, const std::vector& properties) { + // Priority queue to store nodes to explore + std::priority_queue, std::greater> openSet; + std::unordered_map allNodes; // Map nodes by ID + std::set closedSet; // To avoid revisiting nodes + + // Step 1: Find the closest node to the virtual start + double minDistance = std::numeric_limits::max(); + int closestNodeIndex = -1; + + for (size_t i = 0; i < properties.size(); ++i) { + double dist = haversine(startLat, startLon, properties[i].latitude, properties[i].longitude); + if (dist < minDistance) { + minDistance = dist; + closestNodeIndex = static_cast(i); + } + } + + if (closestNodeIndex == -1) { + return {}; // No valid nodes found + } + + // Step 2: Add the closest node as the starting point + Property virtualStart = {0.0, startLat, startLon}; // Dummy price 0.0 + Node startNode = {closestNodeIndex, minDistance, + std::abs(properties[closestNodeIndex].price - targetPrice), + properties[closestNodeIndex], + nullptr}; + openSet.push(startNode); + allNodes[closestNodeIndex] = startNode; + + Node bestGoalNode; + bool goalFound = false; + + // Step 3: A* Search + while (!openSet.empty()) { + Node current = openSet.top(); + openSet.pop(); + + // Update best goal node + if (!goalFound || std::abs(current.property.price - targetPrice) < std::abs(bestGoalNode.property.price - targetPrice)) { + bestGoalNode = current; + goalFound = true; + } + + closedSet.insert(current.id); + + // Expand neighbors + for (size_t i = 0; i < properties.size(); ++i) { + if (closedSet.count(i)) continue; + + double tentativeGCost = current.gCost + haversine(current.property.latitude, current.property.longitude, properties[i].latitude, properties[i].longitude); + double hCost = std::abs(properties[i].price - targetPrice) + haversine(properties[i].latitude, properties[i].longitude, startLat, startLon); + + Node neighbor = {static_cast(i), tentativeGCost, hCost, properties[i], &allNodes[current.id]}; + + if (!allNodes.count(i) || tentativeGCost < allNodes[i].gCost) { + openSet.push(neighbor); + allNodes[i] = neighbor; + } + } + } + + // Step 4: Reconstruct the path + std::vector path; + Node* currentNode = &bestGoalNode; + + while (currentNode != nullptr) { + path.push_back(currentNode->property); + currentNode = currentNode->parent; + } + + // Include the virtual start for completeness + path.push_back(virtualStart); + std::reverse(path.begin(), path.end()); + return path; +} diff --git a/AStar.h b/AStar.h new file mode 100644 index 0000000..edd6922 --- /dev/null +++ b/AStar.h @@ -0,0 +1,19 @@ +// AStar.h +#pragma once +#include +#include +#include "Property.h" + +struct Node { + int id; + double gCost; // Cost from start node to this node + double hCost; // Estimated cost from this node to end node (heuristic) + double fCost() const { return gCost + hCost; } + Property property; + Node* parent; + + bool operator>(const Node& other) const { return fCost() > other.fCost(); } +}; + +// Function to perform A* search and return the shortest path +std::vector aStarSearch(double startLat, double startLon, double targetPrice, const std::vector& properties); diff --git a/PreprocessDataset.cpp b/PreprocessDataset.cpp new file mode 100644 index 0000000..c773f38 --- /dev/null +++ b/PreprocessDataset.cpp @@ -0,0 +1,120 @@ +#include +#include +#include +#include +#include +#include + +struct Property { + double price; + double latitude; + double longitude; +}; + +// Function to read the dataset from a CSV file +std::vector readCSV(const std::string& filename) { + std::vector properties; + std::ifstream file(filename); + + if (!file.is_open()) { + std::cerr << "Error: Unable to open file " << filename << '\n'; + return properties; + } + + std::string line; + // Skip the header row + std::getline(file, line); + + while (std::getline(file, line)) { + std::stringstream ss(line); + std::string emptyColumn, priceStr, latStr, lngStr; + + // Read the columns, skipping the empty one + if (std::getline(ss, emptyColumn, ',') && + std::getline(ss, priceStr, ',') && + std::getline(ss, latStr, ',') && + std::getline(ss, lngStr, ',')) { + Property property; + property.price = std::stod(priceStr); + property.latitude = std::stod(latStr); + property.longitude = std::stod(lngStr); + properties.push_back(property); + } + } + + file.close(); + return properties; +} + +// Function to write the dataset to a new CSV file +void writeCSV(const std::string& filename, const std::vector& properties) { + std::ofstream file(filename); + + if (!file.is_open()) { + std::cerr << "Error: Unable to open file " << filename << '\n'; + return; + } + + // Write the header row + file << "Price,Latitude,Longitude\n"; + + for (size_t i = 0; i < properties.size(); ++i) { + const Property& property = properties[i]; + file << property.price << ',' << property.latitude << ',' << property.longitude << '\n'; + } + + file.close(); +} + +// Comparator function for sorting +bool compareByPrice(const Property& a, const Property& b) { + return a.price < b.price; +} + +// Function to preprocess the dataset and ensure unique prices +void preprocessDataset(std::vector& properties) { + // Sort properties by price + std::sort(properties.begin(), properties.end(), compareByPrice); + + // Use a set to track unique prices + std::set uniquePrices; + + for (size_t i = 0; i < properties.size(); ++i) { + double originalPrice = properties[i].price; + int k = 1; // Start quadratic probing + + // Keep probing until a truly unique price is found + while (uniquePrices.count(properties[i].price) > 0) { + properties[i].price = originalPrice + 0.01 * k * k; // Adjust price + k++; + } + + // Add the unique price to the set + uniquePrices.insert(properties[i].price); + } +} + +int main() { + // Input and output file names + std::string inputFile = "/Users/hemduttrao/Downloads/DSA Dataset-main.csv"; + std::string outputFile = "Processed_DSA_Dataset.csv"; + // Read the dataset + std::vector properties = readCSV(inputFile); + + if (properties.empty()) { + std::cerr << "Error: No data to process.\n"; + return 1; + } + + std::cout << "Dataset loaded. Processing " << properties.size() << " entries...\n"; + + // Preprocess the dataset + preprocessDataset(properties); + + // Write the processed dataset + writeCSV(outputFile, properties); + + std::cout << "Processed dataset saved to " << outputFile << ".\n"; + + return 0; +} diff --git a/Processed_DSA_Dataset.csv b/Processed_DSA_Dataset.csv new file mode 100644 index 0000000..9331f2c --- /dev/null +++ b/Processed_DSA_Dataset.csv @@ -0,0 +1,150001 @@ +Price,Latitude,Longitude +2600,17.3666,42.5333 +2600.01,17.3666,42.5331 +2600.04,24.4171,46.5633 +2600.09,21.7855,39.1951 +2600.16,24.8622,46.8333 +2600.25,21.202,40.5966 +2600.36,21.2786,39.9535 +2600.49,24.671,46.7328 +2600.64,24.7898,46.8145 +2600.81,24.6686,46.7236 +2601,21.4828,40.0237 +2601.21,24.5643,46.6018 +2601.44,24.7896,46.8145 +2601.69,21.4828,40.0237 +2601.96,26.426,50.1063 +2602.25,24.136,47.3634 +2602.56,24.6718,46.7249 +2602.89,22.405,39.0761 +2603.24,26.9978,49.6456 +2603.61,24.5273,46.6363 +2604,26.3768,50.1108 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std::getline(file, line); // Skip the header line + + while (std::getline(file, line)) { + std::stringstream ss(line); + Property property; + + // // Skip the first column (property number) + // std::getline(ss, word, ','); + + std::getline(ss, word, ','); + property.price = std::stod(word); + + std::getline(ss, word, ','); + property.latitude = std::stod(word); + + std::getline(ss, word, ','); + property.longitude = std::stod(word); + + properties.push_back(property); + } + file.close(); + } else { + std::cerr << "Error: Could not open the file.\n"; + } + + return properties; +} diff --git a/main.cpp b/main.cpp index 8b13789..64507b3 100644 --- a/main.cpp +++ b/main.cpp @@ -1 +1,122 @@ +<<<<<<< Updated upstream +======= +#include +#include +#include +#include +#include +#include "Property.h" +#include "ReadCSV.h" +#include "AStar.h" +#include "Haversine.h" + +// Comparator function for lower_bound to find closest price +bool comparePropertyPrice(const Property &prop, double price) { + return prop.price < price; +} + +// Function to save selected properties to CSV +void writeToCSV(const std::string &filename, const std::vector &properties) { + std::ofstream file(filename); + file << "Price,Latitude,Longitude\n"; // CSV header + + for (size_t i = 0; i < properties.size(); ++i) { + file << properties[i].price << "," + << properties[i].latitude << "," + << properties[i].longitude << "\n"; + } + file.close(); +} + +int main() { + // std::string filename = "DSA Dataset.csv"; + // std::string filename = "/Users/hemduttrao/Downloads/DSA Dataset-main.csv"; + std::string filename = "/Users/hemduttrao/Downloads/Processed_DSA_Dataset.csv"; + + std::vector properties = readCSV(filename); + + if (properties.empty()) { + std::cerr << "Error: No properties loaded from the file.\n"; + return 1; + } + + double currentLatitude, currentLongitude, targetPrice; + std::cout << "Enter your current latitude and longitude: "; + std::cin >> currentLatitude >> currentLongitude; + std::cout << "Enter your target price: "; + std::cin >> targetPrice; + + + // Find the closest properties to the target price + std::vector::iterator lowerBound = std::lower_bound( + properties.begin(), properties.end(), targetPrice, comparePropertyPrice); + + // Calculate a combined score for each property and sort + std::vector> scoredProperties; + for (const auto& prop : properties) { + double priceDiff = std::abs(prop.price - targetPrice); + double geoDist = haversine(currentLatitude, currentLongitude, prop.latitude, prop.longitude); + double score = priceDiff + geoDist; // Combined metric: price proximity + distance + scoredProperties.emplace_back(score, prop); + } + + // Sort by the combined score (lowest score = best match) + std::sort(scoredProperties.begin(), scoredProperties.end(), [](const std::pair& a, const std::pair& b) { + return a.first < b.first; // Sort by score + }); + // // Sort properties by price for efficient filtering + // std::sort(properties.begin(), properties.end(), [](const Property& a, const Property& b) { + // return a.price < b.price; + // }); + + + // Select the top 10000 closest properties based on the combined score + std::vector closestProperties; + for (int i = 0; i < 10000 && i < scoredProperties.size(); ++i) { + closestProperties.push_back(scoredProperties[i].second); + } + + + if (closestProperties.size() < 2) { + std::cerr << "Error: Not enough properties to perform pathfinding.\n"; + return 1; + } + + // Perform A* search using the updated algorithm + std::vector path = aStarSearch(currentLatitude, currentLongitude, targetPrice, closestProperties); + + if (path.empty()) { + std::cout << "No path found to the target property.\n"; + } else { + std::cout << "A* Path found to target property:\n"; + const Property& startNode = path.front(); + std::cout << "User's Position:\n"; + std::cout << "Price: " << startNode.price << ", Latitude: " << startNode.latitude << ", Longitude: " << startNode.longitude << "\n\n"; + + // Print final destination + const Property& finalNode = path.back(); + std::cout << "Final Destination Found A* by:\n"; + std::cout << "Price: " << finalNode.price << ", Latitude: " << finalNode.latitude << ", Longitude: " << finalNode.longitude << "\n\n"; + + // Print the entire path + std::cout << "A* Path Begin:\n"; + for (size_t i = 0; i < path.size(); ++i) { + std::cout << "Price: " << path[i].price + << ", Latitude: " << path[i].latitude + << ", Longitude: " << path[i].longitude; + if (i == path.size() - 1) { + std::cout << " (Final Node)"; + } + std::cout << "\n"; + } + } + // Save selected properties to a CSV file + writeToCSV("Filtered_Properties.csv", closestProperties); + + std::cout << "Filtered properties saved to 'Filtered_Properties.csv'." << std::endl; + + return 0; +} + +>>>>>>> Stashed changes