easydiffusion/ui/media/js/parameters.js

/**
 * Enum of parameter types
 * @readonly
 * @enum {string}
 */
var ParameterType = {
    checkbox: "checkbox",
    select: "select",
    select_multiple: "select_multiple",
    slider: "slider",
    custom: "custom",
}

/**
 * Element shortcuts
 */
let parametersTable = document.querySelector("#system-settings-table")
let networkParametersTable = document.querySelector("#system-settings-network-table")
let installExtrasTable = document.querySelector("#system-settings-install-extras-table")

/**
 * JSDoc style
 * @typedef {object} Parameter
 * @property {string} id
 * @property {keyof ParameterType} type
 * @property {string | (parameter: Parameter) => (HTMLElement | string)} label
 * @property {string | (parameter: Parameter) => (HTMLElement | string) | undefined} note
 * @property {(parameter: Parameter) => (HTMLElement | string) | undefined} render
 * @property {string | undefined} icon
 * @property {number|boolean|string} default
 * @property {boolean?} saveInAppConfig
 */

/** @type {Array.<Parameter>} */
var PARAMETERS = [
    {
        id: "theme",
        type: ParameterType.select,
        label: "Theme",
        default: "theme-default",
        note: "customize the look and feel of the ui",
        options: [
            // Note: options expanded dynamically
            {
                value: "theme-default",
                label: "Default",
            },
        ],
        icon: "fa-palette",
    },
    {
        id: "save_to_disk",
        type: ParameterType.checkbox,
        label: "Auto-Save Images",
        note: "automatically saves images to the specified location",
        icon: "fa-download",
        default: false,
    },
    {
        id: "diskPath",
        type: ParameterType.custom,
        label: "Save Location",
        render: (parameter) => {
            return `<input id="${parameter.id}" name="${parameter.id}" size="30" disabled>`
        },
    },
    {
        id: "metadata_output_format",
        type: ParameterType.select,
        label: "Metadata format",
        note: "will be saved to disk in this format",
        default: "txt",
        options: [
            {
                value: "none",
                label: "none",
            },
            {
                value: "txt",
                label: "txt",
            },
            {
                value: "json",
                label: "json",
            },
            {
                value: "embed",
                label: "embed",
            },
            {
                value: "embed,txt",
                label: "embed & txt",
            },
            {
                value: "embed,json",
                label: "embed & json",
            },
        ],
    },
    {
        id: "block_nsfw",
        type: ParameterType.checkbox,
        label: "Block NSFW images",
        note: "blurs out NSFW images",
        icon: "fa-land-mine-on",
        default: false,
    },
    {
        id: "sound_toggle",
        type: ParameterType.checkbox,
        label: "Enable Sound",
        note: "plays a sound on task completion",
        icon: "fa-volume-low",
        default: true,
    },
    {
        id: "process_order_toggle",
        type: ParameterType.checkbox,
        label: "Process newest jobs first",
        note: "reverse the normal processing order",
        icon: "fa-arrow-down-short-wide",
        default: false,
    },
    {
        id: "extract_lora_from_prompt",
        type: ParameterType.checkbox,
        label: "Extract LoRA tags from the prompt",
        note:
            "Automatically extract lora tags like &lt;lora:name:0.4&gt; from the prompt, and apply the correct LoRA (if present)",
        icon: "fa-code",
        default: true,
    },
    {
        id: "ui_open_browser_on_start",
        type: ParameterType.checkbox,
        label: "Open browser on startup",
        note: "starts the default browser on startup",
        icon: "fa-window-restore",
        default: true,
        saveInAppConfig: true,
    },
    {
        id: "vram_usage_level",
        type: ParameterType.select,
        label: "GPU Memory Usage",
        note:
            "Faster performance requires more GPU memory (VRAM)<br/><br/>" +
            "<b>Balanced:</b> nearly as fast as High, much lower VRAM usage<br/>" +
            "<b>High:</b> fastest, maximum GPU memory usage</br>" +
            "<b>Low:</b> slowest, recommended for GPUs with 3 to 4 GB memory",
        icon: "fa-forward",
        default: "balanced",
        options: [
            { value: "balanced", label: "Balanced" },
            { value: "high", label: "High" },
            { value: "low", label: "Low" },
        ],
    },
    {
        id: "use_cpu",
        type: ParameterType.checkbox,
        label: "Use CPU (not GPU)",
        note: "warning: this will be *very* slow",
        icon: "fa-microchip",
        default: false,
    },
    {
        id: "auto_pick_gpus",
        type: ParameterType.checkbox,
        label: "Automatically pick the GPUs (experimental)",
        default: false,
    },
    {
        id: "use_gpus",
        type: ParameterType.select_multiple,
        label: "GPUs to use (experimental)",
        note: "to process in parallel",
        default: false,
    },
    {
        id: "auto_save_settings",
        type: ParameterType.checkbox,
        label: "Auto-Save Settings",
        note: "restores settings on browser load",
        icon: "fa-gear",
        default: true,
    },
    {
        id: "confirm_dangerous_actions",
        type: ParameterType.checkbox,
        label: "Confirm dangerous actions",
        note:
            "Actions that might lead to data loss must either be clicked with the shift key pressed, or confirmed in an 'Are you sure?' dialog",
        icon: "fa-check-double",
        default: true,
    },
    {
        id: "listen_to_network",
        type: ParameterType.checkbox,
        label: "Make Stable Diffusion available on your network",
        note: "Other devices on your network can access this web page. Please restart the program after changing this.",
        icon: "fa-network-wired",
        default: true,
        saveInAppConfig: true,
        table: networkParametersTable,
    },
    {
        id: "listen_port",
        type: ParameterType.custom,
        label: "Network port",
        note:
            "Port that this server listens to. The '9000' part in 'http://localhost:9000'. Please restart the program after changing this.",
        icon: "fa-anchor",
        render: (parameter) => {
            return `<input id="${parameter.id}" name="${parameter.id}" size="6" value="9000" onkeypress="preventNonNumericalInput(event)">`
        },
        saveInAppConfig: true,
        table: networkParametersTable,
    },
    {
        id: "use_beta_channel",
        type: ParameterType.checkbox,
        label: "Beta channel",
        note:
            "Get the latest features immediately (but could be less stable). Please restart the program after changing this.",
        icon: "fa-fire",
        default: false,
    },
    {
        id: "test_diffusers",
        type: ParameterType.checkbox,
        label: "Use the new v2.6 engine (diffusers)",
        note:
            "Use our new v2.6 engine, with additional features like LoRA, ControlNet, Embeddings, Tiling and lots more! Please press Save, then restart the program after changing this.",
        icon: "fa-bolt",
        default: true,
        saveInAppConfig: true,
    },
    {
        id: "cloudflare",
        type: ParameterType.custom,
        label: "Cloudflare tunnel",
        note: `<span id="cloudflare-off">Create a VPN tunnel to share your Easy Diffusion instance with your friends. This will
               generate a web server address on the public Internet for your Easy Diffusion instance. </span>
               <div id="cloudflare-on" class="displayNone"><div>This Easy Diffusion server is available on the Internet using the
               address:</div><div><input id="cloudflare-address" value="" readonly><button id="copy-cloudflare-address">Copy</button></div></div>
               <b>Anyone knowing this address can access your server.</b> The address of your server will change each time
               you share a session.<br>
               Uses <a href="https://try.cloudflare.com/" target="_blank">Cloudflare services</a>.`,
        icon: ["fa-brands", "fa-cloudflare"],
        render: () => '<button id="toggle-cloudflare-tunnel" class="primaryButton">Start</button>',
        table: networkParametersTable,
    },
    {
        id: "nvidia_tensorrt",
        type: ParameterType.custom,
        label: "NVIDIA TensorRT",
        note: `Faster image generation by converting your Stable Diffusion models to the NVIDIA TensorRT format. You can choose the
               models to convert. Download size: approximately 2 GB.<br/><br/>
               <b>Early access version:</b> support for LoRA is still under development.
               <div id="trt-build-config" class="displayNone">
                    <h3>Build Config:</h3>
                    Batch size range:
                    <label>Min:</label> <input id="trt-build-min-batch" type="number" min="1" value="1" style="width: 40pt" />
                    <label>Max:</label> <input id="trt-build-max-batch" type="number" min="1" value="1" style="width: 40pt" /><br/><br/>
                    <b>Build for resolutions</b>:<br/>
                    <input id="trt-build-res-512" type="checkbox" value="1" /> 512x512 to 768x768<br/>
                    <input id="trt-build-res-768" type="checkbox" value="1" checked /> 768x768 to 1024x1024<br/>
                    <input id="trt-build-res-1024" type="checkbox" value="1" /> 1024x1024 to 1280x1280<br/>
                    <input id="trt-build-res-1280" type="checkbox" value="1" /> 1280x1280 to 1536x1536<br/>
                    <input id="trt-build-res-1536" type="checkbox" value="1" /> 1536x1536 to 1792x1792<br/>
               </div>`,
        icon: "fa-angles-up",
        render: () => '<button id="toggle-tensorrt-install" class="primaryButton">Install</button>',
        table: installExtrasTable,
    },
]

function getParameterSettingsEntry(id) {
    let parameter = PARAMETERS.filter((p) => p.id === id)
    if (parameter.length === 0) {
        return
    }
    return parameter[0].settingsEntry
}

function sliderUpdate(event) {
    if (event.srcElement.id.endsWith("-input")) {
        let slider = document.getElementById(event.srcElement.id.slice(0, -6))
        slider.value = event.srcElement.value
        slider.dispatchEvent(new Event("change"))
    } else {
        let field = document.getElementById(event.srcElement.id + "-input")
        field.value = event.srcElement.value
        field.dispatchEvent(new Event("change"))
    }
}

/**
 * @param {Parameter} parameter
 * @returns {string | HTMLElement}
 */
function getParameterElement(parameter) {
    switch (parameter.type) {
        case ParameterType.checkbox:
            var is_checked = parameter.default ? " checked" : ""
            return `<input id="${parameter.id}" name="${parameter.id}"${is_checked} type="checkbox">`
        case ParameterType.select:
        case ParameterType.select_multiple:
            var options = (parameter.options || [])
                .map((option) => `<option value="${option.value}">${option.label}</option>`)
                .join("")
            var multiple = parameter.type == ParameterType.select_multiple ? "multiple" : ""
            return `<select id="${parameter.id}" name="${parameter.id}" ${multiple}>${options}</select>`
        case ParameterType.slider:
            return `<input id="${parameter.id}" name="${parameter.id}" class="editor-slider" type="range" value="${parameter.default}" min="${parameter.slider_min}" max="${parameter.slider_max}" oninput="sliderUpdate(event)"> <input id="${parameter.id}-input" name="${parameter.id}-input" size="4" value="${parameter.default}" pattern="^[0-9\.]+$" onkeypress="preventNonNumericalInput(event)" oninput="sliderUpdate(event)">&nbsp;${parameter.slider_unit}`
        case ParameterType.custom:
            return parameter.render(parameter)
        default:
            console.error(`Invalid type ${parameter.type} for parameter ${parameter.id}`)
            return "ERROR: Invalid Type"
    }
}

/**
 * fill in the system settings popup table
 * @param {Array<Parameter> | undefined} parameters
 * */
function initParameters(parameters) {
    parameters.forEach((parameter) => {
        const element = getParameterElement(parameter)
        const elementWrapper = createElement("div")
        if (element instanceof Node) {
            elementWrapper.appendChild(element)
        } else {
            elementWrapper.innerHTML = element
        }

        const note = typeof parameter.note === "function" ? parameter.note(parameter) : parameter.note
        const noteElements = []
        if (note) {
            const noteElement = createElement("small")
            if (note instanceof Node) {
                noteElement.appendChild(note)
            } else {
                noteElement.innerHTML = note || ""
            }
            noteElements.push(noteElement)
        }

        if (typeof parameter.icon == "string") {
            parameter.icon = [parameter.icon]
        }
        const icon = parameter.icon ? [createElement("i", undefined, ["fa", ...parameter.icon])] : []

        const label = typeof parameter.label === "function" ? parameter.label(parameter) : parameter.label
        const labelElement = createElement("label", { for: parameter.id })
        if (label instanceof Node) {
            labelElement.appendChild(label)
        } else {
            labelElement.innerHTML = label
        }

        const newrow = createElement(
            "div",
            { "data-setting-id": parameter.id, "data-save-in-app-config": parameter.saveInAppConfig },
            undefined,
            [
                createElement("div", undefined, undefined, icon),
                createElement("div", undefined, undefined, [labelElement, ...noteElements]),
                elementWrapper,
            ]
        )

        let p = parametersTable
        if (parameter.table) {
            p = parameter.table
        }
        p.appendChild(newrow)

        parameter.settingsEntry = newrow
    })
}

initParameters(PARAMETERS)

// listen to parameters from plugins
PARAMETERS.addEventListener("push", (...items) => {
    initParameters(items)

    if (items.find((item) => item.saveInAppConfig)) {
        console.log(
            "Reloading app config for new parameters",
            items.map((p) => p.id)
        )
        getAppConfig()
    }
})

let vramUsageLevelField = document.querySelector("#vram_usage_level")
let useCPUField = document.querySelector("#use_cpu")
let autoPickGPUsField = document.querySelector("#auto_pick_gpus")
let useGPUsField = document.querySelector("#use_gpus")
let saveToDiskField = document.querySelector("#save_to_disk")
let diskPathField = document.querySelector("#diskPath")
let metadataOutputFormatField = document.querySelector("#metadata_output_format")
let listenToNetworkField = document.querySelector("#listen_to_network")
let listenPortField = document.querySelector("#listen_port")
let useBetaChannelField = document.querySelector("#use_beta_channel")
let uiOpenBrowserOnStartField = document.querySelector("#ui_open_browser_on_start")
let confirmDangerousActionsField = document.querySelector("#confirm_dangerous_actions")
let testDiffusers = document.querySelector("#test_diffusers")

let saveSettingsBtn = document.querySelector("#save-system-settings-btn")

async function changeAppConfig(configDelta) {
    try {
        let res = await fetch("/app_config", {
            method: "POST",
            headers: {
                "Content-Type": "application/json",
            },
            body: JSON.stringify(configDelta),
        })
        res = await res.json()

        console.log("set config status response", res)
    } catch (e) {
        console.log("set config status error", e)
    }
}

async function getAppConfig() {
    try {
        let res = await fetch("/get/app_config")
        const config = await res.json()

        applySettingsFromConfig(config)

        // custom overrides
        if (config.update_branch === "beta") {
            useBetaChannelField.checked = true
            document.querySelector("#updateBranchLabel").innerText = "(beta)"
        } else {
            getParameterSettingsEntry("test_diffusers").classList.add("displayNone")
        }
        if (config.ui && config.ui.open_browser_on_start === false) {
            uiOpenBrowserOnStartField.checked = false
        }
        if (config.net && config.net.listen_to_network === false) {
            listenToNetworkField.checked = false
        }
        if (config.net && config.net.listen_port !== undefined) {
            listenPortField.value = config.net.listen_port
        }

        let testDiffusersEnabled = config.update_branch !== "main"
        if (config.test_diffusers === false) {
            testDiffusersEnabled = false
        }
        testDiffusers.checked = testDiffusersEnabled

        if (config.config_on_startup) {
            if (config.config_on_startup?.test_diffusers && config.update_branch !== "main") {
                document.body.classList.add("diffusers-enabled-on-startup")
                document.body.classList.remove("diffusers-disabled-on-startup")
            } else {
                document.body.classList.add("diffusers-disabled-on-startup")
                document.body.classList.remove("diffusers-enabled-on-startup")
            }
        }

        if (!testDiffusersEnabled) {
            document.querySelector("#lora_model_container").style.display = "none"
            document.querySelector("#tiling_container").style.display = "none"
            document.querySelector("#controlnet_model_container").style.display = "none"
            document.querySelector("#hypernetwork_model_container").style.display = ""
            document.querySelector("#hypernetwork_strength_container").style.display = ""

            document.querySelectorAll("#sampler_name option.diffusers-only").forEach((option) => {
                option.style.display = "none"
            })
            IMAGE_STEP_SIZE = 64
            customWidthField.step = IMAGE_STEP_SIZE
            customHeightField.step = IMAGE_STEP_SIZE
        } else {
            document.querySelector("#lora_model_container").style.display = ""
            document.querySelector("#tiling_container").style.display = ""
            document.querySelector("#controlnet_model_container").style.display = ""
            document.querySelector("#hypernetwork_model_container").style.display = "none"
            document.querySelector("#hypernetwork_strength_container").style.display = "none"

            document.querySelectorAll("#sampler_name option.k_diffusion-only").forEach((option) => {
                option.style.display = "none"
            })
            document.querySelector("#clip_skip_config").classList.remove("displayNone")
            document.querySelector("#embeddings-button").classList.remove("displayNone")
            document.querySelector("#negative-embeddings-button").classList.remove("displayNone")
            IMAGE_STEP_SIZE = 8
            customWidthField.step = IMAGE_STEP_SIZE
            customHeightField.step = IMAGE_STEP_SIZE
        }

        console.log("get config status response", config)

        return config
    } catch (e) {
        console.log("get config status error", e)

        return {}
    }
}

function applySettingsFromConfig(config) {
    Array.from(parametersTable.children).forEach((parameterRow) => {
        if (parameterRow.dataset.settingId in config && parameterRow.dataset.saveInAppConfig === "true") {
            const configValue = config[parameterRow.dataset.settingId]
            const parameterElement =
                document.getElementById(parameterRow.dataset.settingId) ||
                parameterRow.querySelector("input") ||
                parameterRow.querySelector("select")

            switch (parameterElement?.tagName) {
                case "INPUT":
                    if (parameterElement.type === "checkbox") {
                        parameterElement.checked = configValue
                    } else {
                        parameterElement.value = configValue
                    }
                    parameterElement.dispatchEvent(new Event("change"))
                    break
                case "SELECT":
                    if (Array.isArray(configValue)) {
                        Array.from(parameterElement.options).forEach((option) => {
                            if (configValue.includes(option.value || option.text)) {
                                option.selected = true
                            }
                        })
                    } else {
                        parameterElement.value = configValue
                    }
                    parameterElement.dispatchEvent(new Event("change"))
                    break
            }
        }
    })
}

saveToDiskField.addEventListener("change", function(e) {
    diskPathField.disabled = !this.checked
    metadataOutputFormatField.disabled = !this.checked
})

function getCurrentRenderDeviceSelection() {
    let selectedGPUs = $("#use_gpus").val()

    if (useCPUField.checked && !autoPickGPUsField.checked) {
        return "cpu"
    }
    if (autoPickGPUsField.checked || selectedGPUs.length == 0) {
        return "auto"
    }

    return selectedGPUs.join(",")
}

useCPUField.addEventListener("click", function() {
    let gpuSettingEntry = getParameterSettingsEntry("use_gpus")
    let autoPickGPUSettingEntry = getParameterSettingsEntry("auto_pick_gpus")
    if (this.checked) {
        gpuSettingEntry.style.display = "none"
        autoPickGPUSettingEntry.style.display = "none"
        autoPickGPUsField.setAttribute("data-old-value", autoPickGPUsField.checked)
        autoPickGPUsField.checked = false
    } else if (useGPUsField.options.length >= MIN_GPUS_TO_SHOW_SELECTION) {
        gpuSettingEntry.style.display = ""
        autoPickGPUSettingEntry.style.display = ""
        let oldVal = autoPickGPUsField.getAttribute("data-old-value")
        if (oldVal === null || oldVal === undefined) {
            // the UI started with CPU selected by default
            autoPickGPUsField.checked = true
        } else {
            autoPickGPUsField.checked = oldVal === "true"
        }
        gpuSettingEntry.style.display = autoPickGPUsField.checked ? "none" : ""
    }
})

useGPUsField.addEventListener("click", function() {
    let selectedGPUs = $("#use_gpus").val()
    autoPickGPUsField.checked = selectedGPUs.length === 0
})

autoPickGPUsField.addEventListener("click", function() {
    if (this.checked) {
        $("#use_gpus").val([])
    }

    let gpuSettingEntry = getParameterSettingsEntry("use_gpus")
    gpuSettingEntry.style.display = this.checked ? "none" : ""
})

async function setDiskPath(defaultDiskPath, force = false) {
    var diskPath = getSetting("diskPath")
    if (force || diskPath == "" || diskPath == undefined || diskPath == "undefined") {
        setSetting("diskPath", defaultDiskPath)
    }
}

function setDeviceInfo(devices) {
    let cpu = devices.all.cpu.name
    let allGPUs = Object.keys(devices.all).filter((d) => d != "cpu")
    let activeGPUs = Object.keys(devices.active)

    function ID_TO_TEXT(d) {
        let info = devices.all[d]
        if ("mem_free" in info && "mem_total" in info) {
            return `${info.name} <small>(${d}) (${info.mem_free.toFixed(1)}Gb free / ${info.mem_total.toFixed(
                1
            )} Gb total)</small>`
        } else {
            return `${info.name} <small>(${d}) (no memory info)</small>`
        }
    }

    allGPUs = allGPUs.map(ID_TO_TEXT)
    activeGPUs = activeGPUs.map(ID_TO_TEXT)

    let systemInfoEl = document.querySelector("#system-info")
    systemInfoEl.querySelector("#system-info-cpu").innerText = cpu
    systemInfoEl.querySelector("#system-info-gpus-all").innerHTML = allGPUs.join("</br>")
    systemInfoEl.querySelector("#system-info-rendering-devices").innerHTML = activeGPUs.join("</br>")

    // tensorRT
    if (devices.active && testDiffusers.checked && devices.enable_trt === true) {
        let nvidiaGPUs = Object.keys(devices.active).filter((d) => {
            let gpuName = devices.active[d].name
            gpuName = gpuName.toLowerCase()
            return (
                gpuName.includes("nvidia") ||
                gpuName.includes("geforce") ||
                gpuName.includes("quadro") ||
                gpuName.includes("tesla")
            )
        })
        if (nvidiaGPUs.length > 0) {
            document.querySelector("#install-extras-container").classList.remove("displayNone")
        }
    }
}

function setHostInfo(hosts) {
    let port = listenPortField.value
    hosts = hosts.map((addr) => `http://${addr}:${port}/`).map((url) => `<div><a href="${url}">${url}</a></div>`)
    document.querySelector("#system-info-server-hosts").innerHTML = hosts.join("")
}

async function getSystemInfo() {
    try {
        const res = await SD.getSystemInfo()
        let devices = res["devices"]

        let allDeviceIds = Object.keys(devices["all"]).filter((d) => d !== "cpu")
        let activeDeviceIds = Object.keys(devices["active"]).filter((d) => d !== "cpu")

        if (activeDeviceIds.length === 0) {
            useCPUField.checked = true
        }

        if (allDeviceIds.length < MIN_GPUS_TO_SHOW_SELECTION || useCPUField.checked) {
            let gpuSettingEntry = getParameterSettingsEntry("use_gpus")
            gpuSettingEntry.style.display = "none"
            let autoPickGPUSettingEntry = getParameterSettingsEntry("auto_pick_gpus")
            autoPickGPUSettingEntry.style.display = "none"
        }

        if (allDeviceIds.length === 0) {
            useCPUField.checked = true
            useCPUField.disabled = true // no compatible GPUs, so make the CPU mandatory

            getParameterSettingsEntry("use_cpu").addEventListener("click", function() {
                alert(
                    "Sorry, we could not find a compatible graphics card! Easy Diffusion supports graphics cards with minimum 2 GB of RAM. " +
                        "Only NVIDIA cards are supported on Windows. NVIDIA and AMD cards are supported on Linux.<br/><br/>" +
                        "If you have a compatible graphics card, please try updating to the latest drivers.<br/><br/>" +
                        "Only the CPU can be used for generating images, without a compatible graphics card.",
                    "No compatible graphics card found!"
                )
            })
        }

        autoPickGPUsField.checked = devices["config"] === "auto"

        useGPUsField.innerHTML = ""
        allDeviceIds.forEach((device) => {
            let deviceName = devices["all"][device]["name"]
            let deviceOption = `<option value="${device}">${deviceName} (${device})</option>`
            useGPUsField.insertAdjacentHTML("beforeend", deviceOption)
        })

        if (autoPickGPUsField.checked) {
            let gpuSettingEntry = getParameterSettingsEntry("use_gpus")
            gpuSettingEntry.style.display = "none"
        } else {
            $("#use_gpus").val(activeDeviceIds)
        }

        document.dispatchEvent(new CustomEvent("system_info_update", { detail: devices }))
        setHostInfo(res["hosts"])
        let force = false
        if (res["enforce_output_dir"] !== undefined) {
            force = res["enforce_output_dir"]
            if (force == true) {
                saveToDiskField.checked = true
                metadataOutputFormatField.disabled = false
            }
            saveToDiskField.disabled = force
            diskPathField.disabled = force
        }
        setDiskPath(res["default_output_dir"], force)
    } catch (e) {
        console.log("error fetching devices", e)
    }
}

saveSettingsBtn.addEventListener("click", function() {
    if (listenPortField.value == "") {
        alert("The network port field must not be empty.")
        return
    }
    if (listenPortField.value < 1 || listenPortField.value > 65535) {
        alert("The network port must be a number from 1 to 65535")
        return
    }
    const updateBranch = useBetaChannelField.checked ? "beta" : "main"

    const updateAppConfigRequest = {
        render_devices: getCurrentRenderDeviceSelection(),
        update_branch: updateBranch,
    }

    document.querySelectorAll("#system-settings [data-setting-id]").forEach((parameterRow) => {
        if (parameterRow.dataset.saveInAppConfig === "true") {
            const parameterElement =
                document.getElementById(parameterRow.dataset.settingId) ||
                parameterRow.querySelector("input") ||
                parameterRow.querySelector("select")

            switch (parameterElement?.tagName) {
                case "INPUT":
                    if (parameterElement.type === "checkbox") {
                        updateAppConfigRequest[parameterRow.dataset.settingId] = parameterElement.checked
                    } else {
                        updateAppConfigRequest[parameterRow.dataset.settingId] = parameterElement.value
                    }
                    break
                case "SELECT":
                    if (parameterElement.multiple) {
                        updateAppConfigRequest[parameterRow.dataset.settingId] = Array.from(parameterElement.options)
                            .filter((option) => option.selected)
                            .map((option) => option.value || option.text)
                    } else {
                        updateAppConfigRequest[parameterRow.dataset.settingId] = parameterElement.value
                    }
                    break
                default:
                    console.error(
                        `Setting parameter ${parameterRow.dataset.settingId} couldn't be saved to app.config - element #${parameter.id} is a <${parameterElement?.tagName} /> instead of a <input /> or a <select />!`
                    )
                    break
            }
        }
    })

    const savePromise = changeAppConfig(updateAppConfigRequest)
    showToast("Settings saved")
    saveSettingsBtn.classList.add("active")
    Promise.all([savePromise, asyncDelay(300)]).then(() => saveSettingsBtn.classList.remove("active"))
})

listenToNetworkField.addEventListener(
    "change",
    debounce(() => {
        saveSettingsBtn.click()
    }, 1000)
)

listenPortField.addEventListener(
    "change",
    debounce(() => {
        saveSettingsBtn.click()
    }, 1000)
)

let copyCloudflareAddressBtn = document.querySelector("#copy-cloudflare-address")
let cloudflareAddressField = document.getElementById("cloudflare-address")

navigator.permissions.query({ name: "clipboard-write" }).then(function(result) {
    if (result.state === "granted") {
        // you can read from the clipboard
        copyCloudflareAddressBtn.addEventListener("click", (e) => {
            navigator.clipboard.writeText(cloudflareAddressField.innerHTML)
            showToast("Copied server address to clipboard")
        })
    } else {
        copyCloudflareAddressBtn.classList.add("displayNone")
    }
})

document.addEventListener("system_info_update", (e) => setDeviceInfo(e.detail))

useBetaChannelField.addEventListener("change", (e) => {
    if (e.target.checked) {
        getParameterSettingsEntry("test_diffusers").classList.remove("displayNone")
    } else {
        getParameterSettingsEntry("test_diffusers").classList.add("displayNone")
    }
})