const btnIF = document.getElementById("btnIF");
const btnAE = document.getElementById("btnAE");
const startBtn = document.getElementById("startBtn");

let chosenAlgorithm = null;
let chosenAlgorithmName = null;
let startTime = null;
let lastResults = null;
let progressInterval = null;
let backendErrorShown = false;

const JOB_STORAGE_KEY = "custom_active_job";

function selectAlgorithm(selected, other) {
    selected.classList.add("scale-105", "border-2", "border-black");
    selected.classList.remove("opacity-50");

    other.classList.remove("scale-105", "border-2", "border-black");
    other.classList.add("opacity-50");
}

function enableStartButton() {
    startBtn.classList.remove("bg-gray-600", "text-gray-300", "cursor-not-allowed");
    startBtn.classList.add("bg-orange-500", "hover:bg-orange-400", "text-white", "cursor-pointer");
}

btnIF.addEventListener("click", () => {
    selectAlgorithm(btnIF, btnAE);
    chosenAlgorithm = "iforest_custom";
    chosenAlgorithmName = "Isolation Forest (Custom)";
    enableStartButton();
});

btnAE.addEventListener("click", () => {
    selectAlgorithm(btnAE, btnIF);
    chosenAlgorithm = "autoencoder_custom";
    chosenAlgorithmName = "Autoencoder (Custom)";
    enableStartButton();
});

function getBackendJobName() {
    return chosenAlgorithm;
}

function getResultURL() {
    if (chosenAlgorithm === "iforest_custom") {
        return "/get-isolation-forest-result-custom";
    }
    return "/get-autoencoder-result-custom";
}

function saveActiveJob() {
    sessionStorage.setItem(JOB_STORAGE_KEY, JSON.stringify({
        algorithm: chosenAlgorithm,
        algorithmName: chosenAlgorithmName,
        backendJob: getBackendJobName(),
        startedAt: Date.now()
    }));
}

function loadActiveJob() {
    const raw = sessionStorage.getItem(JOB_STORAGE_KEY);
    if (!raw) return null;

    try {
        return JSON.parse(raw);
    } catch {
        sessionStorage.removeItem(JOB_STORAGE_KEY);
        return null;
    }
}

function clearActiveJob() {
    sessionStorage.removeItem(JOB_STORAGE_KEY);
}

function applySavedAlgorithm(saved) {
    chosenAlgorithm = saved.algorithm;
    chosenAlgorithmName = saved.algorithmName;
    startTime = saved.startedAt;

    if (chosenAlgorithm === "iforest_custom") {
        selectAlgorithm(btnIF, btnAE);
    } else if (chosenAlgorithm === "autoencoder_custom") {
        selectAlgorithm(btnAE, btnIF);
    }

    enableStartButton();
}

function restoreCustomRunLayout() {
    const step1 = document.getElementById("step-1");
    const step2 = document.getElementById("step-2");
    const step3 = document.getElementById("step-3");
    const step4 = document.getElementById("step-4");
    const step5 = document.getElementById("step-5");

    if (step1) step1.classList.add("hidden");
    if (step2) step2.classList.add("hidden");
    if (step3) step3.classList.add("hidden");
    if (step4) step4.classList.add("hidden");
    if (step5) step5.classList.remove("hidden");
}

function updateProgressUI(progress) {
    document.getElementById("progressContainer").classList.remove("hidden");
    document.getElementById("progressBar").style.width = progress + "%";
    document.getElementById("progressLabel").textContent = progress + "%";
}

function showLoading(customText = null) {
    document.getElementById("loadingOverlay").classList.remove("hidden");

    document.getElementById("progressBar").style.width = "0%";
    document.getElementById("progressLabel").textContent = "0%";
    document.getElementById("progressContainer").classList.add("hidden");

    const loadingText = document.getElementById("loadingText");
    if (loadingText) {
        loadingText.innerHTML = customText ?? `Starting ${chosenAlgorithmName}...<br>This may take a while.`;
    }
}

function hideLoading() {
    document.getElementById("loadingOverlay").classList.add("hidden");
}

function showErrorPopup(message) {
    const popup = document.createElement("div");

    popup.innerHTML = `
        <div class="fixed inset-0 flex justify-center items-center bg-black bg-opacity-70 z-50">
            <div class="bg-red-600 p-6 rounded-xl shadow-xl text-center max-w-md">
                <h2 class="text-2xl font-bold text-white mb-4">Error</h2>
                <p class="text-white mb-6">${message}</p>
                <button id="closeError"
                        class="bg-white text-red-600 px-6 py-2 rounded-lg font-semibold hover:bg-gray-200 transition">
                    Close
                </button>
            </div>
        </div>
    `;

    document.body.appendChild(popup);
    document.getElementById("closeError").onclick = () => popup.remove();
}

const originalFetch = window.fetch.bind(window);

window.fetch = async function (...args) {
    const res = await originalFetch(...args);

    let url = "";
    const req = args[0];

    if (typeof req === "string") {
        url = req;
    } else if (req && typeof req.url === "string") {
        url = req.url;
    }

    if (res.status === 409) {
        let message = "Another operation is already running.";

        try {
            const data = await res.clone().json();
            if (data?.error) {
                message = data.error;
            } else if (data?.message) {
                message = data.message;
            }
        } catch (_) {}

        if (url.includes("/upload-dataset")) {
            showErrorPopup(message || "Cannot upload a new dataset while an algorithm is running.");
        } else if (url.includes("/save-config")) {
            showErrorPopup(message || "Cannot save config while an algorithm is running.");
        }
    }

    return res;
};

function fetchFinalResults(retryCount = 0) {
    fetch(getResultURL())
        .then(res => res.json())
        .then(json => {
            if (!json.ready) {
                if (retryCount < 10) {
                    setTimeout(() => fetchFinalResults(retryCount + 1), 1000);
                    return;
                }
                hideLoading();
                clearActiveJob();
                showErrorPopup("Final results are not ready.");
                return;
            }

            hideLoading();
            clearActiveJob();
            restoreCustomRunLayout();
            lastResults = json.data;

            if (json.data?.error) {
                showErrorPopup(`Algorithm failed.<br>${json.data.message}`);
                return;
            }

            displayResults(json.data);
        })
        .catch(() => {
            hideLoading();
            clearActiveJob();
            showErrorPopup("Error fetching final results.");
        });
}

function startProgressPolling() {
    if (progressInterval) {
        clearInterval(progressInterval);
    }

    document.getElementById("progressContainer").classList.remove("hidden");

    progressInterval = setInterval(async () => {
        try {
            const res = await fetch("/get-status");

            if (!res.ok) {
                throw new Error("Backend status fetch failed");
            }

            const data = await res.json();

            updateProgressUI(data.progress || 0);

            if (!data.running) {
                clearInterval(progressInterval);
                progressInterval = null;
                fetchFinalResults();
            }
        } catch (err) {
            clearInterval(progressInterval);
            progressInterval = null;
            hideLoading();
            clearActiveJob();

            if (!backendErrorShown) {
                backendErrorShown = true;
                showErrorPopup("Connection to backend was lost.<br>Backend may have stopped.");
            }
        }
    }, 1500);
}

async function restoreRunningJob() {
    const saved = loadActiveJob();
    if (!saved) return;

    try {
        const res = await fetch("/get-status");
        const status = await res.json();

        if (status.current_job !== saved.backendJob) {
            clearActiveJob();
            return;
        }

        applySavedAlgorithm(saved);
        restoreCustomRunLayout();
        showLoading(`Resuming ${chosenAlgorithmName}...<br>This may take a while.`);
        updateProgressUI(status.progress || 0);

        if (status.running) {
            startProgressPolling();
        } else {
            fetchFinalResults();
        }
    } catch (err) {
        hideLoading();
        clearActiveJob();

        if (!backendErrorShown) {
            backendErrorShown = true;
            showErrorPopup("Connection to backend was lost.<br>Please start the backend and try again.");
        }
    }
}

startBtn.addEventListener("click", () => {
    if (!chosenAlgorithm) return;

    showLoading();
    backendErrorShown = false;
    saveActiveJob();

    let url;
    if (chosenAlgorithm === "iforest_custom") {
        url = "/start-iforest-custom";
    } else if (chosenAlgorithm === "autoencoder_custom") {
        url = "/start-autoencoder-custom";
    }

    const controller = new AbortController();
    const timeout = setTimeout(() => controller.abort(), 60000);

    fetch(url, { method: "POST", signal: controller.signal })
        .then(async res => {
            clearTimeout(timeout);

            if (res.status === 409) {
                hideLoading();
                clearActiveJob();
                showErrorPopup("Another algorithm is already running.<br>Please wait until it finishes.");
                return;
            }

            if (!res.ok) {
                throw new Error("Server error");
            }

            const saved = loadActiveJob();
            startTime = saved?.startedAt ?? Date.now();
            startProgressPolling();
        })
        .catch(err => {
            hideLoading();
            clearActiveJob();
            console.error(err);
            showErrorPopup("Backend server is not running.<br>Start app.py and try again.");
        });
});

window.addEventListener("load", restoreRunningJob);

function displayResults(data) {
    const container = document.getElementById("resultContainer");
    container.classList.remove("hidden");

    const runtime = ((Date.now() - startTime) / 1000).toFixed(2);

    let topAnomaliesHTML = '';
    if (data.top_anomalies && data.top_anomalies.length > 0) {
        const headers = Object.keys(data.top_anomalies[0]);

        topAnomaliesHTML = `
        <div class="mt-12">
            <h3 class="text-2xl font-bold text-orange-500 mb-6 text-center">
                Top 5 detected anomalies
            </h3>
            <div class="overflow-x-auto">
                <table class="min-w-full bg-gray-800 rounded-xl shadow-xl">
                    <thead class="bg-gray-700">
                        <tr>
                            ${headers.map(h => `<th class="px-4 py-3 text-orange-500">${h}</th>`).join('')}
                        </tr>
                    </thead>
                    <tbody>
                        ${data.top_anomalies.map(row => `
                        <tr class="border-b border-gray-700 hover:bg-gray-700/50 transition">
                            ${headers.map(key => {
                                const val = row[key];
                                return `<td class="px-4 py-3 text-center">${typeof val === 'number' ? val.toFixed(4) : val}</td>`;
                            }).join('')}
                        </tr>`).join('')}
                    </tbody>
                </table>
            </div>
        </div>`;
    }

    container.innerHTML = `
        <h2 class="text-3xl font-bold text-orange-500 mb-8 text-center">
            Results
        </h2>

        <div class="overflow-x-auto mb-10">
            <table class="min-w-full bg-gray-800 rounded-xl shadow-xl text-center">
                <thead class="bg-gray-700">
                    <tr>
                        <th class="px-6 py-3 text-orange-500">Class</th>
                        <th class="px-6 py-3 text-orange-500">Precision</th>
                        <th class="px-6 py-3 text-orange-500">Recall</th>
                        <th class="px-6 py-3 text-orange-500">F1-Score</th>
                    </tr>
                </thead>
                <tbody>
                    <tr class="border-b border-gray-700">
                        <td class="py-4 px-6 font-semibold">Normal traffic</td>
                        <td class="py-4 px-6">${data.precision_normal?.toFixed(4) ?? '-'}</td>
                        <td class="py-4 px-6">${data.recall_normal?.toFixed(4) ?? '-'}</td>
                        <td class="py-4 px-6">${data.f1_normal?.toFixed(4) ?? '-'}</td>
                    </tr>
                    <tr class="border-b border-gray-700">
                        <td class="py-4 px-6 font-semibold">Anomaly</td>
                        <td class="py-4 px-6">${data.precision_attack?.toFixed(4) ?? '-'}</td>
                        <td class="py-4 px-6">${data.recall_attack?.toFixed(4) ?? '-'}</td>
                        <td class="py-4 px-6">${data.f1_attack?.toFixed(4) ?? '-'}</td>
                    </tr>
                    <tr class="bg-gray-700 text-white font-bold">
                        <td class="py-4 px-6">Overall accuracy</td>
                        <td class="py-4 px-6">-</td>
                        <td class="py-4 px-6">-</td>
                        <td class="py-4 px-6">${data.accuracy?.toFixed(4) ?? '-'}</td>
                    </tr>
                </tbody>
            </table>
        </div>

        <div class="grid grid-cols-1 md:grid-cols-2 gap-10 mb-10">
            <div class="flex flex-col items-center">
                <h3 class="text-2xl text-orange-5oo font-semibold mb-4">Class distribution</h3>
                <canvas id="pieChart" class="w-80 h-80"></canvas>
            </div>

            <div class="bg-gray-800/60 rounded-xl p-8 border border-gray-700">
                <h3 class="text-2xl text-orange-500 font-semibold mb-6">Performance</h3>
                <div class="space-y-4 text-lg">
                    <div class="flex justify-between"><span class="text-gray-400">Normal traffic:</span> <span class="font-bold text-white">${Math.round(data.normal_count || 0)}</span></div>
                    <div class="flex justify-between"><span class="text-gray-400">Anomalies:</span> <span class="font-bold text-white">${Math.round(data.attack_count || 0)}</span></div>
                    <div class="flex justify-between"><span class="text-gray-400">Runtime:</span> <span class="font-bold text-white">${runtime} s</span></div>
                    <div class="flex justify-between"><span class="text-gray-400">RAM before:</span> <span class="font-bold text-white">${data.ram_before || 0} MB</span></div>
                    <div class="flex justify-between"><span class="text-gray-400">RAM peak:</span> <span class="font-bold text-white">${data.ram_peak || 0} MB</span></div>
                    <div class="flex justify-between"><span class="text-gray-400">RAM after:</span> <span class="font-bold text-white">${data.ram_after || 0} MB</span></div>
                    <div class="flex justify-between"><span class="text-red-400 font-semibold">RAM increase:</span> <span class="font-bold text-red-300">+${data.ram_increase || 0} MB</span></div>
                </div>
            </div>
        </div>

        ${topAnomaliesHTML}

        <div class="w-full flex justify-center gap-10 mt-12">
            <button id="downloadPDF"
                    class="px-10 py-5 bg-teal-500 hover:bg-teal-400 text-white text-xl font-bold rounded-xl transition shadow-xl cursor-pointer transform hover:scale-105">
                Download PDF
            </button>
            <button id="downloadJSON"
                    class="px-10 py-5 bg-yellow-500 hover:bg-yellow-400 text-white text-xl font-bold rounded-xl transition shadow-xl cursor-pointer transform hover:scale-105">
                Download JSON
            </button>
        </div>
    `;

    loadPieChart(data);

    document.getElementById("downloadPDF").addEventListener("click", () => {
        downloadPDF(data, runtime);
    });
    document.getElementById("downloadJSON").addEventListener("click", () => {
        downloadJSON(data, runtime);
    });
}

function downloadPDF(results, runtime) {
    fetch("/download-pdf", {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify({
            algorithm: chosenAlgorithmName,
            results: results,
            runtime: runtime
        })
    })
        .then(response => response.blob())
        .then(blob => {
            const url = window.URL.createObjectURL(blob);
            const link = document.createElement("a");
            link.href = url;
            link.download = "report.pdf";
            link.click();
        });
}

function downloadJSON(results, runtime) {
    fetch("/download-json", {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify({
            algorithm: chosenAlgorithmName,
            results: results,
            runtime: runtime
        })
    })
        .then(res => res.blob())
        .then(blob => {
            const url = window.URL.createObjectURL(blob);
            const link = document.createElement("a");
            link.href = url;
            link.download = "report.json";
            link.click();
        });
}

function loadPieChart(data) {
    const ctx = document.getElementById("pieChart");

    new Chart(ctx, {
        type: "pie",
        data: {
            labels: ["Normal Traffic", "Attacks"],
            datasets: [{
                data: [data.normal_count || 0, data.attack_count || 0],
                backgroundColor: ["#14b8a6", "#dc2626"],
            }]
        },
        options: {
            plugins: {
                legend: {
                    labels: {
                        color: "#ffffff"
                    }
                }
            }
        }
    });
}