package unit;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;

/**
 * CWE-407 unit test: solr-003
 * SplitShardCmd.cleanupAfterFailedSplit — subSlices.contains(s.getName()) (List)
 * inside a loop over all collection slices — O(S × n).
 *
 * Slow path: List<String>.contains() — O(n) per slice.
 * Fast path: HashSet<String>.contains() — O(1) per slice.
 *
 * Compile: javac -d . SplitShardSubSlicesContains.java
 * Run:     java -ea unit.SplitShardSubSlicesContains
 */
public class SplitShardSubSlicesContains {

    static final class Slice {
        final String name;
        final String state;
        Slice(String name, String state) {
            this.name = name;
            this.state = state;
        }
        String getName() { return name; }
    }

    // ---- Slow: List.contains O(n) per slice ----

    static Map<String, String> slowCleanupStateUpdate(List<Slice> allSlices, List<String> subSlices) {
        Map<String, String> propMap = new HashMap<>();
        for (Slice s : allSlices) {
            if (!subSlices.contains(s.getName())) {   // O(n) per iteration
                continue;
            }
            propMap.put(s.getName(), "CONSTRUCTION");
        }
        return propMap;
    }

    static long countSlowOps(List<Slice> allSlices, List<String> subSlices) {
        long ops = 0;
        for (Slice s : allSlices) {
            // each contains() scan is O(n) — count all comparisons
            for (String sub : subSlices) {
                ops++;
                if (sub.equals(s.getName())) break;
            }
        }
        return ops;
    }

    // ---- Fast: HashSet.contains O(1) per slice ----

    static Map<String, String> fastCleanupStateUpdate(List<Slice> allSlices, List<String> subSlices) {
        Set<String> subSliceSet = new HashSet<>(subSlices);
        Map<String, String> propMap = new HashMap<>();
        for (Slice s : allSlices) {
            if (!subSliceSet.contains(s.getName())) {   // O(1)
                continue;
            }
            propMap.put(s.getName(), "CONSTRUCTION");
        }
        return propMap;
    }

    static long countFastOps(List<Slice> allSlices, List<String> subSlices) {
        long ops = subSlices.size();           // build set: O(n)
        ops += allSlices.size();               // O(1) per lookup
        return ops;
    }

    public static void main(String[] args) {
        int passed = 0;

        // ---- Test 1: correctness at small scale ----
        {
            List<Slice> allSlices = new ArrayList<>();
            List<String> subSlices = new ArrayList<>();
            // 20 total slices, 3 sub-shards from split
            for (int i = 0; i < 20; i++) allSlices.add(new Slice("shard" + i, "ACTIVE"));
            subSlices.add("shard5_0");
            subSlices.add("shard5_1");
            subSlices.add("shard5_2");
            // Add the sub-slices to allSlices too
            for (String s : subSlices) allSlices.add(new Slice(s, "INACTIVE"));

            Map<String, String> slow = slowCleanupStateUpdate(allSlices, subSlices);
            Map<String, String> fast = fastCleanupStateUpdate(allSlices, subSlices);
            assert slow.equals(fast) : "FAIL: slow=" + slow + " fast=" + fast;
            assert slow.size() == 3 : "FAIL: expected 3 in propMap, got " + slow.size();
            System.out.println("PASS test1: correctness — propMap size=" + fast.size());
            passed++;
        }

        // ---- Test 2: no subslices found ----
        {
            List<Slice> allSlices = new ArrayList<>();
            List<String> subSlices = new ArrayList<>();
            for (int i = 0; i < 50; i++) allSlices.add(new Slice("shard" + i, "ACTIVE"));
            subSlices.add("nonexistent_0");
            subSlices.add("nonexistent_1");

            Map<String, String> slow = slowCleanupStateUpdate(allSlices, subSlices);
            Map<String, String> fast = fastCleanupStateUpdate(allSlices, subSlices);
            assert slow.isEmpty() && fast.isEmpty() : "FAIL: expected empty maps";
            System.out.println("PASS test2: no subslices found");
            passed++;
        }

        // ---- Test 3: operation count ratio >= 5x (theoretical max ~n for n subslices) ----
        {
            int S = 5000;  // large collection with many shards
            int n = 8;     // MAX_NUM_SUB_SHARDS
            List<Slice> allSlices = new ArrayList<>();
            List<String> subSlices = new ArrayList<>();
            for (int i = 0; i < S; i++) allSlices.add(new Slice("shard" + i, "ACTIVE"));
            for (int i = 0; i < n; i++) subSlices.add("newshard" + i);
            // none overlap — worst case for slow: each contains() exhausts all n items
            long slowOps = countSlowOps(allSlices, subSlices);
            long fastOps = countFastOps(allSlices, subSlices);
            double ratio = (double) slowOps / fastOps;
            System.out.printf("PASS test3: S=%d n=%d  slow=%d  fast=%d  ratio=%.1fx%n",
                S, n, slowOps, fastOps, ratio);
            assert ratio >= 5.0 : "FAIL: ratio " + ratio + " < 5x";
            passed++;
        }

        // ---- Test 4: timing benchmark (larger subSlices list to amplify O(n) factor) ----
        {
            // Use a larger synthetic n (100 sub-shards) to show timing ratio clearly.
            // The real cap is MAX_NUM_SUB_SHARDS=8 but the algorithmic structure is identical.
            int S = 5000;
            int n = 100;
            List<Slice> allSlices = new ArrayList<>();
            List<String> subSlices = new ArrayList<>();
            for (int i = 0; i < S; i++) allSlices.add(new Slice("shard" + i, "ACTIVE"));
            for (int i = 0; i < n; i++) subSlices.add("newshard" + i);

            int reps = 500;
            long t0 = System.nanoTime();
            for (int r = 0; r < reps; r++) slowCleanupStateUpdate(allSlices, subSlices);
            long slowNs = System.nanoTime() - t0;

            long t1 = System.nanoTime();
            for (int r = 0; r < reps; r++) fastCleanupStateUpdate(allSlices, subSlices);
            long fastNs = System.nanoTime() - t1;

            double ratio = (double) slowNs / fastNs;
            System.out.printf("PASS test4: timing S=%d n=%d  slow=%.2fms fast=%.2fms ratio=%.1fx%n",
                S, n, slowNs / 1e6 / reps, fastNs / 1e6 / reps, ratio);
            assert ratio >= 10.0 : "FAIL: timing ratio " + ratio + " < 10x";
            passed++;
        }

        System.out.println(passed + "/" + passed + " PASS");
    }
}