mirror of
https://github.com/formbricks/formbricks.git
synced 2026-05-25 03:10:22 -05:00
Compare commits
25 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| b525f7bdbb | |||
| 9f9009497e | |||
| 7ad0f8b21f | |||
| f6aa27ba8c | |||
| 82765f7dd7 | |||
| d5bbafcf90 | |||
| db87a588b5 | |||
| c834587c8d | |||
| ef18aacfa2 | |||
| 025a766c57 | |||
| f476db3128 | |||
| 37023275ca | |||
| 9266f64588 | |||
| 032066194b | |||
| 0bef023302 | |||
| aa83ee336c | |||
| 4357f497a1 | |||
| 526c17af23 | |||
| a0ddadebad | |||
| bc0d04f5e8 | |||
| f0967c2e23 | |||
| 13c9677edd | |||
| c0bf2ab7cc | |||
| 65d0f4ac0e | |||
| 655c0b5e47 |
@@ -53,7 +53,7 @@ function {QuestionType}({
|
||||
}: {QuestionType}Props): React.JSX.Element {
|
||||
// Ensure value is always the correct type (handle undefined/null)
|
||||
const currentValue = value ?? {defaultValue};
|
||||
|
||||
|
||||
// Detect text direction from content
|
||||
const detectedDir = useTextDirection({
|
||||
dir,
|
||||
@@ -63,11 +63,11 @@ function {QuestionType}({
|
||||
return (
|
||||
<div className="w-full space-y-4" id={elementId} dir={detectedDir}>
|
||||
{/* Headline */}
|
||||
<ElementHeader
|
||||
headline={headline}
|
||||
description={description}
|
||||
required={required}
|
||||
htmlFor={inputId}
|
||||
<ElementHeader
|
||||
headline={headline}
|
||||
description={description}
|
||||
required={required}
|
||||
htmlFor={inputId}
|
||||
/>
|
||||
|
||||
{/* Question-specific controls */}
|
||||
|
||||
@@ -47,7 +47,7 @@ jobs:
|
||||
- name: Set up Helm
|
||||
uses: azure/setup-helm@5119fcb9089d432beecbf79bb2c7915207344b78 # v3.5
|
||||
with:
|
||||
version: v3.15.4
|
||||
version: latest
|
||||
|
||||
- name: Log in to GitHub Container Registry
|
||||
env:
|
||||
|
||||
@@ -5,6 +5,7 @@
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"lint": "eslint . --config .eslintrc.cjs --ext .ts,.tsx --report-unused-disable-directives --max-warnings 0",
|
||||
"typecheck": "tsc --noEmit",
|
||||
"preview": "vite preview",
|
||||
"storybook": "storybook dev -p 6006",
|
||||
"build-storybook": "storybook build",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import React from "react";
|
||||
import ReactDOM from "react-dom/client";
|
||||
import App from "./App.tsx";
|
||||
import { App } from "./App.tsx";
|
||||
import "./index.css";
|
||||
|
||||
ReactDOM.createRoot(document.getElementById("root")!).render(
|
||||
|
||||
@@ -571,285 +571,275 @@ export const MainNavigation = ({
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div>
|
||||
{!isSettingsMode && (
|
||||
<>
|
||||
{/* New Version Available */}
|
||||
{!isCollapsed &&
|
||||
isOwnerOrManager &&
|
||||
latestVersion &&
|
||||
!isFormbricksCloud &&
|
||||
!isDevelopment && (
|
||||
<Link
|
||||
href="https://github.com/formbricks/formbricks/releases"
|
||||
target="_blank"
|
||||
className="m-2 flex items-center space-x-4 rounded-lg border border-slate-200 bg-slate-100 p-2 text-sm text-slate-800 hover:border-slate-300 hover:bg-slate-200">
|
||||
<p className="flex items-center justify-center gap-x-2 text-xs">
|
||||
<RocketIcon strokeWidth={1.5} className="mx-1 h-6 w-6 text-slate-900" />
|
||||
{t("common.new_version_available", { version: latestVersion })}
|
||||
</p>
|
||||
</Link>
|
||||
)}
|
||||
|
||||
{/* Trial Days Remaining */}
|
||||
{!isCollapsed &&
|
||||
isFormbricksCloud &&
|
||||
trialDaysRemaining !== null &&
|
||||
(newTrialBannerVariant === "new-trial-banner" ? (
|
||||
<TrialBannerNew
|
||||
trialDaysRemaining={trialDaysRemaining}
|
||||
planName={organization.billing.stripe?.plan ?? "pro"}
|
||||
responseCount={responseCount}
|
||||
responseLimit={organization.billing.limits.monthly.responses}
|
||||
baseResponseLimit={TRIAL_BASE_RESPONSE_LIMIT}
|
||||
billingHref={`/workspaces/${workspace.id}/settings/organization/billing`}
|
||||
hasPaymentMethod={organization.billing.stripe?.hasPaymentMethod}
|
||||
/>
|
||||
) : (
|
||||
<Link
|
||||
href={`/workspaces/${workspace.id}/settings/organization/billing`}
|
||||
className="m-2 block">
|
||||
<TrialAlert trialDaysRemaining={trialDaysRemaining} size="small" />
|
||||
</Link>
|
||||
))}
|
||||
</>
|
||||
)}
|
||||
|
||||
<div className="flex flex-col">
|
||||
{!isSettingsMode && (
|
||||
<>
|
||||
<DropdownMenu onOpenChange={setIsWorkspaceDropdownOpen}>
|
||||
<DropdownMenuTrigger
|
||||
asChild
|
||||
id="workspaceDropdownTrigger"
|
||||
className={switcherTriggerClasses}>
|
||||
<button
|
||||
type="button"
|
||||
aria-label={isCollapsed ? t("common.change_workspace") : undefined}
|
||||
className={cn("flex w-full items-center gap-3", isCollapsed && "justify-center")}>
|
||||
<span className={switcherIconClasses}>
|
||||
<FoldersIcon className="h-4 w-4" strokeWidth={1.5} />
|
||||
</span>
|
||||
{!isCollapsed && !isTextVisible && (
|
||||
<>
|
||||
<div className="grow overflow-hidden">
|
||||
<p className="truncate text-sm font-bold text-slate-700">{workspace.name}</p>
|
||||
<p className="text-sm text-slate-500">{t("common.workspace")}</p>
|
||||
</div>
|
||||
{isPending && (
|
||||
<Loader2 className="h-4 w-4 animate-spin text-slate-600" strokeWidth={1.5} />
|
||||
)}
|
||||
<ChevronRightIcon className="h-4 w-4 shrink-0 text-slate-600" strokeWidth={1.5} />
|
||||
</>
|
||||
)}
|
||||
</button>
|
||||
</DropdownMenuTrigger>
|
||||
<DropdownMenuContent side="right" sideOffset={10} alignOffset={5} align="end">
|
||||
<div className="px-2 py-1.5 text-sm font-medium text-slate-500">
|
||||
<FoldersIcon className="mr-2 inline h-4 w-4" strokeWidth={1.5} />
|
||||
{t("common.change_workspace")}
|
||||
</div>
|
||||
{(isLoadingWorkspaces || isInitialWorkspacesLoading) && (
|
||||
<div className="flex items-center justify-center py-2">
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
</div>
|
||||
)}
|
||||
{!isLoadingWorkspaces &&
|
||||
!isInitialWorkspacesLoading &&
|
||||
workspaceLoadError &&
|
||||
renderSwitcherError(
|
||||
workspaceLoadError,
|
||||
() => {
|
||||
setWorkspaceLoadError(null);
|
||||
setWorkspaces([]);
|
||||
},
|
||||
t("common.try_again")
|
||||
)}
|
||||
{!isLoadingWorkspaces && !isInitialWorkspacesLoading && !workspaceLoadError && (
|
||||
<>
|
||||
<DropdownMenuGroup className="max-h-[300px] overflow-y-auto">
|
||||
{workspaces.map((proj) => (
|
||||
<DropdownMenuCheckboxItem
|
||||
key={proj.id}
|
||||
checked={proj.id === workspace.id}
|
||||
onClick={() => handleWorkspaceChange(proj.id)}
|
||||
className="cursor-pointer">
|
||||
{proj.name}
|
||||
</DropdownMenuCheckboxItem>
|
||||
))}
|
||||
</DropdownMenuGroup>
|
||||
{isOwnerOrManager && (
|
||||
<DropdownMenuCheckboxItem
|
||||
onClick={handleWorkspaceCreate}
|
||||
className="w-full cursor-pointer justify-between">
|
||||
<span>{t("common.add_new_workspace")}</span>
|
||||
<PlusIcon className="ml-2 h-4 w-4" strokeWidth={1.5} />
|
||||
</DropdownMenuCheckboxItem>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
<DropdownMenuSeparator />
|
||||
<DropdownMenuCheckboxItem
|
||||
onClick={() =>
|
||||
handleSettingNavigation(`/workspaces/${workspace.id}/settings/workspace/general`)
|
||||
}
|
||||
className="cursor-pointer">
|
||||
<Cog className="mr-2 h-4 w-4" strokeWidth={1.5} />
|
||||
{t("common.settings")}
|
||||
</DropdownMenuCheckboxItem>
|
||||
</DropdownMenuContent>
|
||||
</DropdownMenu>
|
||||
|
||||
<DropdownMenu onOpenChange={setIsOrganizationDropdownOpen}>
|
||||
<DropdownMenuTrigger
|
||||
asChild
|
||||
id="organizationDropdownTriggerSidebar"
|
||||
className={switcherTriggerClasses}>
|
||||
<button
|
||||
type="button"
|
||||
aria-label={isCollapsed ? t("common.change_organization") : undefined}
|
||||
className={cn("flex w-full items-center gap-3", isCollapsed && "justify-center")}>
|
||||
<span className={switcherIconClasses}>
|
||||
<Building2Icon className="h-4 w-4" strokeWidth={1.5} />
|
||||
</span>
|
||||
{!isCollapsed && !isTextVisible && (
|
||||
<>
|
||||
<div className="grow overflow-hidden">
|
||||
<p className="truncate text-sm font-bold text-slate-700">{organization.name}</p>
|
||||
<p className="text-sm text-slate-500">{t("common.organization")}</p>
|
||||
</div>
|
||||
{isPending && (
|
||||
<Loader2 className="h-4 w-4 animate-spin text-slate-600" strokeWidth={1.5} />
|
||||
)}
|
||||
<ChevronRightIcon className="h-4 w-4 shrink-0 text-slate-600" strokeWidth={1.5} />
|
||||
</>
|
||||
)}
|
||||
</button>
|
||||
</DropdownMenuTrigger>
|
||||
<DropdownMenuContent side="right" sideOffset={10} alignOffset={5} align="end">
|
||||
<div className="px-2 py-1.5 text-sm font-medium text-slate-500">
|
||||
<Building2Icon className="mr-2 inline h-4 w-4" strokeWidth={1.5} />
|
||||
{t("common.change_organization")}
|
||||
</div>
|
||||
{isLoadingOrganizations && (
|
||||
<div className="flex items-center justify-center py-2">
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
</div>
|
||||
)}
|
||||
{!isLoadingOrganizations &&
|
||||
organizationLoadError &&
|
||||
renderSwitcherError(
|
||||
organizationLoadError,
|
||||
() => {
|
||||
setOrganizationLoadError(null);
|
||||
setOrganizations([]);
|
||||
},
|
||||
t("common.try_again")
|
||||
)}
|
||||
{!isLoadingOrganizations && !organizationLoadError && (
|
||||
<>
|
||||
<DropdownMenuGroup className="max-h-[300px] overflow-y-auto">
|
||||
{organizations.map((org) => (
|
||||
<DropdownMenuCheckboxItem
|
||||
key={org.id}
|
||||
checked={org.id === organization.id}
|
||||
onClick={() => handleOrganizationChange(org.id)}
|
||||
className="cursor-pointer">
|
||||
{org.name}
|
||||
</DropdownMenuCheckboxItem>
|
||||
))}
|
||||
</DropdownMenuGroup>
|
||||
{isMultiOrgEnabled && (
|
||||
<DropdownMenuCheckboxItem
|
||||
onClick={() => setOpenCreateOrganizationModal(true)}
|
||||
className="w-full cursor-pointer justify-between">
|
||||
<span>{t("common.create_new_organization")}</span>
|
||||
<PlusIcon className="ml-2 h-4 w-4" strokeWidth={1.5} />
|
||||
</DropdownMenuCheckboxItem>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
<DropdownMenuSeparator />
|
||||
<DropdownMenuCheckboxItem
|
||||
onClick={() =>
|
||||
handleSettingNavigation(`/workspaces/${workspace.id}/settings/organization/general`)
|
||||
}
|
||||
className="cursor-pointer">
|
||||
<SettingsIcon className="mr-2 h-4 w-4" strokeWidth={1.5} />
|
||||
{t("common.settings")}
|
||||
</DropdownMenuCheckboxItem>
|
||||
</DropdownMenuContent>
|
||||
</DropdownMenu>
|
||||
</>
|
||||
{!isSettingsMode && (
|
||||
<div>
|
||||
{/* New Version Available */}
|
||||
{!isCollapsed && isOwnerOrManager && latestVersion && !isFormbricksCloud && !isDevelopment && (
|
||||
<Link
|
||||
href="https://github.com/formbricks/formbricks/releases"
|
||||
target="_blank"
|
||||
className="m-2 flex items-center space-x-4 rounded-lg border border-slate-200 bg-slate-100 p-2 text-sm text-slate-800 hover:border-slate-300 hover:bg-slate-200">
|
||||
<p className="flex items-center justify-center gap-x-2 text-xs">
|
||||
<RocketIcon strokeWidth={1.5} className="mx-1 h-6 w-6 text-slate-900" />
|
||||
{t("common.new_version_available", { version: latestVersion })}
|
||||
</p>
|
||||
</Link>
|
||||
)}
|
||||
|
||||
<DropdownMenu>
|
||||
<DropdownMenuTrigger
|
||||
asChild
|
||||
id="userDropdownTrigger"
|
||||
className={cn(switcherTriggerClasses, "rounded-br-xl")}>
|
||||
<button
|
||||
type="button"
|
||||
aria-label={isCollapsed ? t("common.account_settings") : undefined}
|
||||
className={cn("flex w-full items-center gap-3", isCollapsed && "justify-center")}>
|
||||
<span className={switcherIconClasses}>
|
||||
<ProfileAvatar userId={user.id} />
|
||||
</span>
|
||||
{!isCollapsed && !isTextVisible && (
|
||||
{/* Trial Days Remaining */}
|
||||
{!isCollapsed &&
|
||||
isFormbricksCloud &&
|
||||
trialDaysRemaining !== null &&
|
||||
(newTrialBannerVariant === "new-trial-banner" ? (
|
||||
<TrialBannerNew
|
||||
trialDaysRemaining={trialDaysRemaining}
|
||||
planName={organization.billing.stripe?.plan ?? "pro"}
|
||||
responseCount={responseCount}
|
||||
responseLimit={organization.billing.limits.monthly.responses}
|
||||
baseResponseLimit={TRIAL_BASE_RESPONSE_LIMIT}
|
||||
billingHref={`/workspaces/${workspace.id}/settings/organization/billing`}
|
||||
hasPaymentMethod={organization.billing.stripe?.hasPaymentMethod}
|
||||
/>
|
||||
) : (
|
||||
<Link
|
||||
href={`/workspaces/${workspace.id}/settings/organization/billing`}
|
||||
className="m-2 block">
|
||||
<TrialAlert trialDaysRemaining={trialDaysRemaining} size="small" />
|
||||
</Link>
|
||||
))}
|
||||
|
||||
<div className="flex flex-col">
|
||||
<DropdownMenu onOpenChange={setIsWorkspaceDropdownOpen}>
|
||||
<DropdownMenuTrigger
|
||||
asChild
|
||||
id="workspaceDropdownTrigger"
|
||||
className={switcherTriggerClasses}>
|
||||
<button
|
||||
type="button"
|
||||
aria-label={isCollapsed ? t("common.change_workspace") : undefined}
|
||||
className={cn("flex w-full items-center gap-3", isCollapsed && "justify-center")}>
|
||||
<span className={switcherIconClasses}>
|
||||
<FoldersIcon className="h-4 w-4" strokeWidth={1.5} />
|
||||
</span>
|
||||
{!isCollapsed && !isTextVisible && (
|
||||
<>
|
||||
<div className="grow overflow-hidden">
|
||||
<p className="truncate text-sm font-bold text-slate-700">{workspace.name}</p>
|
||||
<p className="text-sm text-slate-500">{t("common.workspace")}</p>
|
||||
</div>
|
||||
{isPending && (
|
||||
<Loader2 className="h-4 w-4 animate-spin text-slate-600" strokeWidth={1.5} />
|
||||
)}
|
||||
<ChevronRightIcon className="h-4 w-4 shrink-0 text-slate-600" strokeWidth={1.5} />
|
||||
</>
|
||||
)}
|
||||
</button>
|
||||
</DropdownMenuTrigger>
|
||||
<DropdownMenuContent side="right" sideOffset={10} alignOffset={5} align="end">
|
||||
<div className="px-2 py-1.5 text-sm font-medium text-slate-500">
|
||||
<FoldersIcon className="mr-2 inline h-4 w-4" strokeWidth={1.5} />
|
||||
{t("common.change_workspace")}
|
||||
</div>
|
||||
{(isLoadingWorkspaces || isInitialWorkspacesLoading) && (
|
||||
<div className="flex items-center justify-center py-2">
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
</div>
|
||||
)}
|
||||
{!isLoadingWorkspaces &&
|
||||
!isInitialWorkspacesLoading &&
|
||||
workspaceLoadError &&
|
||||
renderSwitcherError(
|
||||
workspaceLoadError,
|
||||
() => {
|
||||
setWorkspaceLoadError(null);
|
||||
setWorkspaces([]);
|
||||
},
|
||||
t("common.try_again")
|
||||
)}
|
||||
{!isLoadingWorkspaces && !isInitialWorkspacesLoading && !workspaceLoadError && (
|
||||
<>
|
||||
<div className="grow overflow-hidden">
|
||||
<p
|
||||
title={user?.email}
|
||||
className="ph-no-capture -mb-0.5 truncate text-sm font-bold text-slate-700">
|
||||
{user?.name ? <span>{user?.name}</span> : <span>{user?.email}</span>}
|
||||
</p>
|
||||
<p className="text-sm text-slate-500">{t("common.account")}</p>
|
||||
</div>
|
||||
<ChevronRightIcon className="h-4 w-4 shrink-0 text-slate-600" strokeWidth={1.5} />
|
||||
<DropdownMenuGroup className="max-h-[300px] overflow-y-auto">
|
||||
{workspaces.map((proj) => (
|
||||
<DropdownMenuCheckboxItem
|
||||
key={proj.id}
|
||||
checked={proj.id === workspace.id}
|
||||
onClick={() => handleWorkspaceChange(proj.id)}
|
||||
className="cursor-pointer">
|
||||
{proj.name}
|
||||
</DropdownMenuCheckboxItem>
|
||||
))}
|
||||
</DropdownMenuGroup>
|
||||
{isOwnerOrManager && (
|
||||
<DropdownMenuCheckboxItem
|
||||
onClick={handleWorkspaceCreate}
|
||||
className="w-full cursor-pointer justify-between">
|
||||
<span>{t("common.add_new_workspace")}</span>
|
||||
<PlusIcon className="ml-2 h-4 w-4" strokeWidth={1.5} />
|
||||
</DropdownMenuCheckboxItem>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
</button>
|
||||
</DropdownMenuTrigger>
|
||||
<DropdownMenuSeparator />
|
||||
<DropdownMenuCheckboxItem
|
||||
onClick={() =>
|
||||
handleSettingNavigation(`/workspaces/${workspace.id}/settings/workspace/general`)
|
||||
}
|
||||
className="cursor-pointer">
|
||||
<Cog className="mr-2 h-4 w-4" strokeWidth={1.5} />
|
||||
{t("common.settings")}
|
||||
</DropdownMenuCheckboxItem>
|
||||
</DropdownMenuContent>
|
||||
</DropdownMenu>
|
||||
|
||||
<DropdownMenuContent
|
||||
id="userDropdownInnerContentWrapper"
|
||||
side="right"
|
||||
sideOffset={10}
|
||||
alignOffset={5}
|
||||
align="end">
|
||||
{dropdownNavigation.map((link) => (
|
||||
<Link
|
||||
href={link.href}
|
||||
target={link.target}
|
||||
className="flex w-full items-center"
|
||||
key={link.label}
|
||||
rel={link.target === "_blank" ? "noopener noreferrer" : undefined}>
|
||||
<DropdownMenuItem>
|
||||
<link.icon className="mr-2 h-4 w-4" strokeWidth={1.5} />
|
||||
{link.label}
|
||||
</DropdownMenuItem>
|
||||
</Link>
|
||||
))}
|
||||
<DropdownMenuItem
|
||||
onClick={async () => {
|
||||
const loginUrl = `${publicDomain}/auth/login`;
|
||||
const route = await signOutWithAudit({
|
||||
reason: "user_initiated",
|
||||
redirectUrl: loginUrl,
|
||||
organizationId: organization.id,
|
||||
redirect: false,
|
||||
callbackUrl: loginUrl,
|
||||
clearWorkspaceId: true,
|
||||
});
|
||||
router.push(route?.url || loginUrl);
|
||||
}}
|
||||
icon={<LogOutIcon className="mr-2 h-4 w-4" strokeWidth={1.5} />}>
|
||||
{t("common.logout")}
|
||||
</DropdownMenuItem>
|
||||
</DropdownMenuContent>
|
||||
</DropdownMenu>
|
||||
<DropdownMenu onOpenChange={setIsOrganizationDropdownOpen}>
|
||||
<DropdownMenuTrigger
|
||||
asChild
|
||||
id="organizationDropdownTriggerSidebar"
|
||||
className={switcherTriggerClasses}>
|
||||
<button
|
||||
type="button"
|
||||
aria-label={isCollapsed ? t("common.change_organization") : undefined}
|
||||
className={cn("flex w-full items-center gap-3", isCollapsed && "justify-center")}>
|
||||
<span className={switcherIconClasses}>
|
||||
<Building2Icon className="h-4 w-4" strokeWidth={1.5} />
|
||||
</span>
|
||||
{!isCollapsed && !isTextVisible && (
|
||||
<>
|
||||
<div className="grow overflow-hidden">
|
||||
<p className="truncate text-sm font-bold text-slate-700">{organization.name}</p>
|
||||
<p className="text-sm text-slate-500">{t("common.organization")}</p>
|
||||
</div>
|
||||
{isPending && (
|
||||
<Loader2 className="h-4 w-4 animate-spin text-slate-600" strokeWidth={1.5} />
|
||||
)}
|
||||
<ChevronRightIcon className="h-4 w-4 shrink-0 text-slate-600" strokeWidth={1.5} />
|
||||
</>
|
||||
)}
|
||||
</button>
|
||||
</DropdownMenuTrigger>
|
||||
<DropdownMenuContent side="right" sideOffset={10} alignOffset={5} align="end">
|
||||
<div className="px-2 py-1.5 text-sm font-medium text-slate-500">
|
||||
<Building2Icon className="mr-2 inline h-4 w-4" strokeWidth={1.5} />
|
||||
{t("common.change_organization")}
|
||||
</div>
|
||||
{isLoadingOrganizations && (
|
||||
<div className="flex items-center justify-center py-2">
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
</div>
|
||||
)}
|
||||
{!isLoadingOrganizations &&
|
||||
organizationLoadError &&
|
||||
renderSwitcherError(
|
||||
organizationLoadError,
|
||||
() => {
|
||||
setOrganizationLoadError(null);
|
||||
setOrganizations([]);
|
||||
},
|
||||
t("common.try_again")
|
||||
)}
|
||||
{!isLoadingOrganizations && !organizationLoadError && (
|
||||
<>
|
||||
<DropdownMenuGroup className="max-h-[300px] overflow-y-auto">
|
||||
{organizations.map((org) => (
|
||||
<DropdownMenuCheckboxItem
|
||||
key={org.id}
|
||||
checked={org.id === organization.id}
|
||||
onClick={() => handleOrganizationChange(org.id)}
|
||||
className="cursor-pointer">
|
||||
{org.name}
|
||||
</DropdownMenuCheckboxItem>
|
||||
))}
|
||||
</DropdownMenuGroup>
|
||||
{isMultiOrgEnabled && (
|
||||
<DropdownMenuCheckboxItem
|
||||
onClick={() => setOpenCreateOrganizationModal(true)}
|
||||
className="w-full cursor-pointer justify-between">
|
||||
<span>{t("common.create_new_organization")}</span>
|
||||
<PlusIcon className="ml-2 h-4 w-4" strokeWidth={1.5} />
|
||||
</DropdownMenuCheckboxItem>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
<DropdownMenuSeparator />
|
||||
<DropdownMenuCheckboxItem
|
||||
onClick={() =>
|
||||
handleSettingNavigation(`/workspaces/${workspace.id}/settings/organization/general`)
|
||||
}
|
||||
className="cursor-pointer">
|
||||
<SettingsIcon className="mr-2 h-4 w-4" strokeWidth={1.5} />
|
||||
{t("common.settings")}
|
||||
</DropdownMenuCheckboxItem>
|
||||
</DropdownMenuContent>
|
||||
</DropdownMenu>
|
||||
|
||||
<DropdownMenu>
|
||||
<DropdownMenuTrigger
|
||||
asChild
|
||||
id="userDropdownTrigger"
|
||||
className={cn(switcherTriggerClasses, "rounded-br-xl")}>
|
||||
<button
|
||||
type="button"
|
||||
aria-label={isCollapsed ? t("common.account_settings") : undefined}
|
||||
className={cn("flex w-full items-center gap-3", isCollapsed && "justify-center")}>
|
||||
<span className={switcherIconClasses}>
|
||||
<ProfileAvatar userId={user.id} />
|
||||
</span>
|
||||
{!isCollapsed && !isTextVisible && (
|
||||
<>
|
||||
<div className="grow overflow-hidden">
|
||||
<p
|
||||
title={user?.email}
|
||||
className="ph-no-capture -mb-0.5 truncate text-sm font-bold text-slate-700">
|
||||
{user?.name ? <span>{user?.name}</span> : <span>{user?.email}</span>}
|
||||
</p>
|
||||
<p className="text-sm text-slate-500">{t("common.account")}</p>
|
||||
</div>
|
||||
<ChevronRightIcon className="h-4 w-4 shrink-0 text-slate-600" strokeWidth={1.5} />
|
||||
</>
|
||||
)}
|
||||
</button>
|
||||
</DropdownMenuTrigger>
|
||||
|
||||
<DropdownMenuContent
|
||||
id="userDropdownInnerContentWrapper"
|
||||
side="right"
|
||||
sideOffset={10}
|
||||
alignOffset={5}
|
||||
align="end">
|
||||
{dropdownNavigation.map((link) => (
|
||||
<Link
|
||||
href={link.href}
|
||||
target={link.target}
|
||||
className="flex w-full items-center"
|
||||
key={link.label}
|
||||
rel={link.target === "_blank" ? "noopener noreferrer" : undefined}>
|
||||
<DropdownMenuItem>
|
||||
<link.icon className="mr-2 h-4 w-4" strokeWidth={1.5} />
|
||||
{link.label}
|
||||
</DropdownMenuItem>
|
||||
</Link>
|
||||
))}
|
||||
<DropdownMenuItem
|
||||
onClick={async () => {
|
||||
const loginUrl = `${publicDomain}/auth/login`;
|
||||
const route = await signOutWithAudit({
|
||||
reason: "user_initiated",
|
||||
redirectUrl: loginUrl,
|
||||
organizationId: organization.id,
|
||||
redirect: false,
|
||||
callbackUrl: loginUrl,
|
||||
clearWorkspaceId: true,
|
||||
});
|
||||
router.push(route?.url || loginUrl);
|
||||
}}
|
||||
icon={<LogOutIcon className="mr-2 h-4 w-4" strokeWidth={1.5} />}>
|
||||
{t("common.logout")}
|
||||
</DropdownMenuItem>
|
||||
</DropdownMenuContent>
|
||||
</DropdownMenu>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</aside>
|
||||
)}
|
||||
{openWorkspaceLimitModal && (
|
||||
|
||||
@@ -374,6 +374,7 @@ export const SettingsSidebarContent = ({
|
||||
label: t("common.your_profile"),
|
||||
href: `${basePath}/account/profile`,
|
||||
icon: <UserCircleIcon className={iconClassName} />,
|
||||
disabled: isBilling,
|
||||
},
|
||||
{
|
||||
id: "notifications",
|
||||
|
||||
@@ -1,10 +1,11 @@
|
||||
const AccountSettingsLayout = async (
|
||||
props: Readonly<{
|
||||
params: Promise<{ workspaceId: string }>;
|
||||
children: React.ReactNode;
|
||||
}>
|
||||
) => {
|
||||
await props.params;
|
||||
import { redirectBillingRoleFromRestrictedSettings } from "@/app/(app)/workspaces/[workspaceId]/settings/lib/redirect-billing-role";
|
||||
|
||||
const AccountSettingsLayout = async (props: Readonly<{
|
||||
params: Promise<{ workspaceId: string }>;
|
||||
children: React.ReactNode;
|
||||
}>) => {
|
||||
const params = await props.params;
|
||||
await redirectBillingRoleFromRestrictedSettings(params.workspaceId);
|
||||
return <>{props.children}</>;
|
||||
};
|
||||
|
||||
|
||||
@@ -6,7 +6,6 @@ import { EditAlerts } from "@/app/(app)/workspaces/[workspaceId]/settings/accoun
|
||||
import { IntegrationsTip } from "@/app/(app)/workspaces/[workspaceId]/settings/account/notifications/components/IntegrationsTip";
|
||||
import type { Membership } from "@/app/(app)/workspaces/[workspaceId]/settings/account/notifications/types";
|
||||
import { SettingsCard } from "@/app/(app)/workspaces/[workspaceId]/settings/components/SettingsCard";
|
||||
import { redirectBillingRoleFromRestrictedSettings } from "@/app/(app)/workspaces/[workspaceId]/settings/lib/redirect-billing-role";
|
||||
import { getUser } from "@/lib/user/service";
|
||||
import { getTranslate } from "@/lingodotdev/server";
|
||||
import { authOptions } from "@/modules/auth/lib/authOptions";
|
||||
@@ -128,13 +127,7 @@ const getMemberships = async (userId: string): Promise<Membership[]> => {
|
||||
return memberships;
|
||||
};
|
||||
|
||||
const Page = async (props: {
|
||||
params: Promise<{ workspaceId: string }>;
|
||||
searchParams: Promise<Record<string, string>>;
|
||||
}) => {
|
||||
const params = await props.params;
|
||||
await redirectBillingRoleFromRestrictedSettings(params.workspaceId);
|
||||
|
||||
const Page = async (props: { searchParams: Promise<Record<string, string>> }) => {
|
||||
const searchParams = await props.searchParams;
|
||||
const t = await getTranslate();
|
||||
const session = await getServerSession(authOptions);
|
||||
|
||||
+5
@@ -66,6 +66,11 @@ const getFeatureDefinitions = (t: TFunction): TFeatureDefinition[] => {
|
||||
labelKey: t("workspace.settings.general.ai_smart_tools_enabled"),
|
||||
docsUrl: "https://formbricks.com/docs/self-hosting/configuration/ai",
|
||||
},
|
||||
{
|
||||
key: "aiDataAnalysis",
|
||||
labelKey: t("workspace.settings.general.ai_data_analysis_enabled"),
|
||||
docsUrl: "https://formbricks.com/docs/self-hosting/configuration/ai",
|
||||
},
|
||||
{
|
||||
key: "auditLogs",
|
||||
labelKey: t("workspace.settings.enterprise.license_feature_audit_logs"),
|
||||
|
||||
+6
@@ -57,6 +57,7 @@ describe("organization AI settings actions", () => {
|
||||
mocks.getOrganization.mockResolvedValue({
|
||||
id: organizationId,
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
});
|
||||
mocks.isInstanceAIConfigured.mockReturnValue(true);
|
||||
mocks.getTranslate.mockResolvedValue((key: string, values?: Record<string, string>) =>
|
||||
@@ -65,6 +66,7 @@ describe("organization AI settings actions", () => {
|
||||
mocks.updateOrganization.mockResolvedValue({
|
||||
id: organizationId,
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
});
|
||||
mocks.getIsMultiOrgEnabled.mockResolvedValue(true);
|
||||
});
|
||||
@@ -112,15 +114,18 @@ describe("organization AI settings actions", () => {
|
||||
oldObject: {
|
||||
id: organizationId,
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
},
|
||||
newObject: {
|
||||
id: organizationId,
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
},
|
||||
});
|
||||
expect(result).toEqual({
|
||||
id: organizationId,
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
});
|
||||
});
|
||||
|
||||
@@ -189,6 +194,7 @@ describe("organization AI settings actions", () => {
|
||||
mocks.getOrganization.mockResolvedValueOnce({
|
||||
id: organizationId,
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
});
|
||||
mocks.isInstanceAIConfigured.mockReturnValueOnce(false);
|
||||
|
||||
|
||||
+9
-2
@@ -71,11 +71,12 @@ export const updateOrganizationNameAction = authenticatedActionClient
|
||||
|
||||
type TOrganizationAISettings = Pick<
|
||||
NonNullable<Awaited<ReturnType<typeof getOrganization>>>,
|
||||
"isAISmartToolsEnabled"
|
||||
"isAISmartToolsEnabled" | "isAIDataAnalysisEnabled"
|
||||
>;
|
||||
|
||||
type TResolvedOrganizationAISettings = {
|
||||
smartToolsEnabled: boolean;
|
||||
dataAnalysisEnabled: boolean;
|
||||
isEnablingAnyAISetting: boolean;
|
||||
};
|
||||
|
||||
@@ -89,10 +90,16 @@ const resolveOrganizationAISettings = ({
|
||||
const smartToolsEnabled = Object.hasOwn(data, "isAISmartToolsEnabled")
|
||||
? (data.isAISmartToolsEnabled ?? organization.isAISmartToolsEnabled)
|
||||
: organization.isAISmartToolsEnabled;
|
||||
const dataAnalysisEnabled = Object.hasOwn(data, "isAIDataAnalysisEnabled")
|
||||
? (data.isAIDataAnalysisEnabled ?? organization.isAIDataAnalysisEnabled)
|
||||
: organization.isAIDataAnalysisEnabled;
|
||||
|
||||
return {
|
||||
smartToolsEnabled,
|
||||
isEnablingAnyAISetting: smartToolsEnabled && !organization.isAISmartToolsEnabled,
|
||||
dataAnalysisEnabled,
|
||||
isEnablingAnyAISetting:
|
||||
(smartToolsEnabled && !organization.isAISmartToolsEnabled) ||
|
||||
(dataAnalysisEnabled && !organization.isAIDataAnalysisEnabled),
|
||||
};
|
||||
};
|
||||
|
||||
|
||||
+25
-4
@@ -50,18 +50,29 @@ export const AISettingsToggle = ({
|
||||
currentValue: organization.isAISmartToolsEnabled,
|
||||
isInstanceConfigured: isInstanceAIConfigured,
|
||||
});
|
||||
const displayedDataAnalysisValue = getDisplayedOrganizationAISettingValue({
|
||||
currentValue: organization.isAIDataAnalysisEnabled,
|
||||
isInstanceConfigured: isInstanceAIConfigured,
|
||||
});
|
||||
|
||||
const handleToggle = async (checked: boolean) => {
|
||||
const handleToggle = async (
|
||||
field: "isAISmartToolsEnabled" | "isAIDataAnalysisEnabled",
|
||||
checked: boolean
|
||||
) => {
|
||||
if (checked && !aiEnablementState.canEnableFeatures) {
|
||||
toast.error(aiEnablementBlockedMessage);
|
||||
return;
|
||||
}
|
||||
|
||||
setLoadingField("isAISmartToolsEnabled");
|
||||
setLoadingField(field);
|
||||
try {
|
||||
const data =
|
||||
field === "isAISmartToolsEnabled"
|
||||
? { isAISmartToolsEnabled: checked }
|
||||
: { isAIDataAnalysisEnabled: checked };
|
||||
const response = await updateOrganizationAISettingsAction({
|
||||
organizationId: organization.id,
|
||||
data: { isAISmartToolsEnabled: checked },
|
||||
data,
|
||||
});
|
||||
|
||||
if (response?.data) {
|
||||
@@ -111,7 +122,7 @@ export const AISettingsToggle = ({
|
||||
|
||||
<AdvancedOptionToggle
|
||||
isChecked={displayedSmartToolsValue}
|
||||
onToggle={handleToggle}
|
||||
onToggle={(checked) => handleToggle("isAISmartToolsEnabled", checked)}
|
||||
htmlId="ai-smart-tools-toggle"
|
||||
title={t("workspace.settings.general.ai_smart_tools_enabled")}
|
||||
description={t("workspace.settings.general.ai_smart_tools_enabled_description")}
|
||||
@@ -119,6 +130,16 @@ export const AISettingsToggle = ({
|
||||
customContainerClass="px-0"
|
||||
/>
|
||||
|
||||
<AdvancedOptionToggle
|
||||
isChecked={displayedDataAnalysisValue}
|
||||
onToggle={(checked) => handleToggle("isAIDataAnalysisEnabled", checked)}
|
||||
htmlId="ai-data-analysis-toggle"
|
||||
title={t("workspace.settings.general.ai_data_analysis_enabled")}
|
||||
description={t("workspace.settings.general.ai_data_analysis_enabled_description")}
|
||||
disabled={isToggleDisabled}
|
||||
customContainerClass="px-0"
|
||||
/>
|
||||
|
||||
{!canEdit && (
|
||||
<Alert variant="warning">
|
||||
<AlertDescription>
|
||||
|
||||
@@ -9,6 +9,7 @@ import {
|
||||
import { getUser } from "@/lib/user/service";
|
||||
import { getTranslate } from "@/lingodotdev/server";
|
||||
import {
|
||||
getIsAIDataAnalysisEnabled,
|
||||
getIsAISmartToolsEnabled,
|
||||
getIsMultiOrgEnabled,
|
||||
getWhiteLabelPermission,
|
||||
@@ -37,11 +38,14 @@ const Page = async (props: Readonly<{ params: Promise<{ workspaceId: string }> }
|
||||
|
||||
const user = session?.user?.id ? await getUser(session.user.id) : null;
|
||||
|
||||
const [isMultiOrgEnabled, hasWhiteLabelPermission, hasAIPermission] = await Promise.all([
|
||||
getIsMultiOrgEnabled(),
|
||||
getWhiteLabelPermission(organization.id),
|
||||
getIsAISmartToolsEnabled(organization.id),
|
||||
]);
|
||||
const [isMultiOrgEnabled, hasWhiteLabelPermission, hasAISmartToolsPermission, hasAIDataAnalysisPermission] =
|
||||
await Promise.all([
|
||||
getIsMultiOrgEnabled(),
|
||||
getWhiteLabelPermission(organization.id),
|
||||
getIsAISmartToolsEnabled(organization.id),
|
||||
getIsAIDataAnalysisEnabled(organization.id),
|
||||
]);
|
||||
const hasAIPermission = hasAISmartToolsPermission || hasAIDataAnalysisPermission;
|
||||
|
||||
const isDeleteDisabled = !isOwner || !isMultiOrgEnabled;
|
||||
const currentUserRole = currentUserMembership?.role;
|
||||
|
||||
@@ -4,6 +4,7 @@ import { ZOrganizationUpdateInput } from "@formbricks/types/organizations";
|
||||
|
||||
export const ZOrganizationAISettingsInput = ZOrganizationUpdateInput.pick({
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEnabled: true,
|
||||
});
|
||||
|
||||
export const ZUpdateOrganizationAISettingsAction = z.object({
|
||||
|
||||
+2
-2
@@ -2,7 +2,7 @@
|
||||
|
||||
import { z } from "zod";
|
||||
import { ZId } from "@formbricks/types/common";
|
||||
import { InvalidInputError, OperationNotAllowedError, ResourceNotFoundError } from "@formbricks/types/errors";
|
||||
import { OperationNotAllowedError, ResourceNotFoundError, UnknownError } from "@formbricks/types/errors";
|
||||
import { getEmailTemplateHtml } from "@/app/(app)/workspaces/[workspaceId]/surveys/[surveyId]/(analysis)/summary/lib/emailTemplate";
|
||||
import { capturePostHogEvent } from "@/lib/posthog";
|
||||
import { getSurvey, updateSurvey } from "@/lib/survey/service";
|
||||
@@ -176,7 +176,7 @@ export const generatePersonalLinksAction = authenticatedActionClient
|
||||
);
|
||||
|
||||
if (!contactsResult || contactsResult.length === 0) {
|
||||
throw new InvalidInputError("No contacts found for the selected segment");
|
||||
throw new UnknownError("No contacts found for the selected segment");
|
||||
}
|
||||
|
||||
capturePostHogEvent(
|
||||
|
||||
@@ -1,10 +1,11 @@
|
||||
import { Prisma } from "@prisma/client";
|
||||
import type { PrismaClientKnownRequestError } from "@prisma/client/runtime/library";
|
||||
import { PrismaErrorType } from "@formbricks/database/types/error";
|
||||
|
||||
export const isPrismaKnownRequestError = (error: unknown): error is Prisma.PrismaClientKnownRequestError =>
|
||||
export const isPrismaKnownRequestError = (error: unknown): error is PrismaClientKnownRequestError =>
|
||||
error instanceof Prisma.PrismaClientKnownRequestError;
|
||||
|
||||
export const isSingleUseIdUniqueConstraintError = (error: Prisma.PrismaClientKnownRequestError): boolean => {
|
||||
export const isSingleUseIdUniqueConstraintError = (error: PrismaClientKnownRequestError): boolean => {
|
||||
if (error.code !== PrismaErrorType.UniqueConstraintViolation) {
|
||||
return false;
|
||||
}
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import { logger } from "@formbricks/logger";
|
||||
import { ZDisplayCreateInput } from "@formbricks/types/displays";
|
||||
import { InvalidInputError, ResourceNotFoundError } from "@formbricks/types/errors";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { THandlerParams, withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -33,25 +32,7 @@ export const POST = withV1ApiWrapper({
|
||||
}
|
||||
const { workspaceId } = resolved;
|
||||
|
||||
let jsonInput;
|
||||
try {
|
||||
jsonInput = await parseJsonBodyWithLimit<Record<string, unknown>>(req);
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }, true),
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
response: responses.badRequestResponse(
|
||||
"Malformed JSON input, please check your request body",
|
||||
{ error: error instanceof Error ? error.message : "Unknown error occurred" },
|
||||
true
|
||||
),
|
||||
};
|
||||
}
|
||||
|
||||
const jsonInput = await req.json();
|
||||
const inputValidation = ZDisplayCreateInput.safeParse({
|
||||
...jsonInput,
|
||||
workspaceId,
|
||||
|
||||
+30
-2
@@ -9,12 +9,12 @@ const mocks = vi.hoisted(() => ({
|
||||
getSurvey: vi.fn(),
|
||||
getValidatedResponseUpdateInput: vi.fn(),
|
||||
loggerError: vi.fn(),
|
||||
resolveClientApiIds: vi.fn(),
|
||||
sendToPipeline: vi.fn(),
|
||||
updateResponseWithQuotaEvaluation: vi.fn(),
|
||||
validateFileUploads: vi.fn(),
|
||||
validateOtherOptionLengthForMultipleChoice: vi.fn(),
|
||||
validateResponseData: vi.fn(),
|
||||
resolveClientApiIds: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@formbricks/logger", () => ({
|
||||
@@ -128,11 +128,11 @@ describe("putResponseHandler", () => {
|
||||
});
|
||||
mocks.getResponse.mockResolvedValue(getBaseExistingResponse());
|
||||
mocks.getSurvey.mockResolvedValue(getBaseSurvey());
|
||||
mocks.resolveClientApiIds.mockResolvedValue({ workspaceId });
|
||||
mocks.updateResponseWithQuotaEvaluation.mockResolvedValue(getBaseUpdatedResponse());
|
||||
mocks.validateFileUploads.mockReturnValue(true);
|
||||
mocks.validateOtherOptionLengthForMultipleChoice.mockReturnValue(null);
|
||||
mocks.validateResponseData.mockReturnValue(null);
|
||||
mocks.resolveClientApiIds.mockResolvedValue({ workspaceId });
|
||||
});
|
||||
|
||||
test("returns a bad request response when the response id is missing", async () => {
|
||||
@@ -245,6 +245,34 @@ describe("putResponseHandler", () => {
|
||||
});
|
||||
});
|
||||
|
||||
test("returns not found when the workspace id cannot be resolved", async () => {
|
||||
mocks.resolveClientApiIds.mockResolvedValue(null);
|
||||
|
||||
const result = await putResponseHandler(createHandlerParams({ workspaceId: "unknown_workspace_or_env" }));
|
||||
|
||||
expect(result.response.status).toBe(404);
|
||||
await expect(result.response.json()).resolves.toEqual({
|
||||
code: "not_found",
|
||||
message: "Workspace not found",
|
||||
details: {
|
||||
resource_id: "unknown_workspace_or_env",
|
||||
resource_type: "Workspace",
|
||||
},
|
||||
});
|
||||
expect(mocks.getResponse).not.toHaveBeenCalled();
|
||||
expect(mocks.updateResponseWithQuotaEvaluation).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("accepts updates when the route param is a legacy environment id that resolves to the survey workspace", async () => {
|
||||
mocks.resolveClientApiIds.mockResolvedValue({ workspaceId });
|
||||
|
||||
const result = await putResponseHandler(createHandlerParams({ workspaceId: "legacy_environment_id" }));
|
||||
|
||||
expect(mocks.resolveClientApiIds).toHaveBeenCalledWith("legacy_environment_id");
|
||||
expect(result.response.status).toBe(200);
|
||||
expect(mocks.updateResponseWithQuotaEvaluation).toHaveBeenCalledTimes(1);
|
||||
});
|
||||
|
||||
test("rejects updates when the response survey does not belong to the requested workspace", async () => {
|
||||
mocks.getSurvey.mockResolvedValue({
|
||||
...getBaseSurvey(),
|
||||
|
||||
@@ -6,7 +6,6 @@ import { TResponseWithQuotaFull } from "@formbricks/types/quota";
|
||||
import { TResponseInput, ZResponseInput } from "@formbricks/types/responses";
|
||||
import { TSurvey } from "@formbricks/types/surveys/types";
|
||||
import { validateSingleUseResponseInput } from "@/app/api/client/[workspaceId]/responses/lib/single-use";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { THandlerParams, withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -57,17 +56,11 @@ export const POST = withV1ApiWrapper({
|
||||
const requestHeaders = await headers();
|
||||
let responseInput;
|
||||
try {
|
||||
responseInput = await parseJsonBodyWithLimit<Record<string, unknown>>(req);
|
||||
responseInput = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }, true),
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
response: responses.badRequestResponse(
|
||||
"Malformed JSON input, please check your request body",
|
||||
"Invalid JSON in request body",
|
||||
{ error: error instanceof Error ? error.message : "Unknown error occurred" },
|
||||
true
|
||||
),
|
||||
@@ -218,7 +211,7 @@ export const POST = withV1ApiWrapper({
|
||||
response: responseData,
|
||||
});
|
||||
|
||||
if (responseInputData.finished) {
|
||||
if (responseInput.finished) {
|
||||
await sendToPipeline({
|
||||
event: "responseFinished",
|
||||
workspaceId,
|
||||
|
||||
@@ -3,7 +3,6 @@ import { TActionClass, ZActionClassInput } from "@formbricks/types/action-classe
|
||||
import { TAuthenticationApiKey } from "@formbricks/types/auth";
|
||||
import { handleErrorResponse } from "@/app/api/v1/auth";
|
||||
import { resolveBodyIds } from "@/app/api/v1/management/lib/workspace-resolver";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { THandlerParams, withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -85,14 +84,8 @@ export const PUT = withV1ApiWrapper({
|
||||
|
||||
let actionClassUpdate;
|
||||
try {
|
||||
actionClassUpdate = await parseJsonBodyWithLimit<Record<string, unknown>>(req);
|
||||
actionClassUpdate = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
logger.error({ error, url: req.url }, "Error parsing JSON");
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
|
||||
@@ -2,7 +2,6 @@ import { logger } from "@formbricks/logger";
|
||||
import { TActionClass, ZActionClassInput } from "@formbricks/types/action-classes";
|
||||
import { DatabaseError, UniqueConstraintError } from "@formbricks/types/errors";
|
||||
import { resolveBodyIds } from "@/app/api/v1/management/lib/workspace-resolver";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { THandlerParams, withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -46,14 +45,8 @@ export const POST = withV1ApiWrapper({
|
||||
try {
|
||||
let actionClassInput;
|
||||
try {
|
||||
actionClassInput = await parseJsonBodyWithLimit<Record<string, unknown>>(req);
|
||||
actionClassInput = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
logger.error({ error, url: req.url }, "Error parsing JSON input");
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import { logger } from "@formbricks/logger";
|
||||
import { TResponseData, ZResponseUpdateInput } from "@formbricks/types/responses";
|
||||
import { ZResponseUpdateInput } from "@formbricks/types/responses";
|
||||
import { handleErrorResponse } from "@/app/api/v1/auth";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { TApiV1Authentication, THandlerParams, withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -13,11 +12,6 @@ import { hasPermission } from "@/modules/organization/settings/api-keys/lib/util
|
||||
import { resolveStorageUrlsInObject, validateFileUploads } from "@/modules/storage/utils";
|
||||
import { updateResponseWithQuotaEvaluation } from "./lib/response";
|
||||
|
||||
type TUncheckedResponseUpdate = Record<string, unknown> & {
|
||||
data: TResponseData;
|
||||
language?: string;
|
||||
};
|
||||
|
||||
async function fetchAndAuthorizeResponse(
|
||||
responseId: string,
|
||||
authentication: TApiV1Authentication | undefined,
|
||||
@@ -126,16 +120,10 @@ export const PUT = withV1ApiWrapper({
|
||||
auditLog.oldObject = result.response;
|
||||
}
|
||||
|
||||
let responseUpdate: TUncheckedResponseUpdate;
|
||||
let responseUpdate;
|
||||
try {
|
||||
responseUpdate = await parseJsonBodyWithLimit<TUncheckedResponseUpdate>(req);
|
||||
responseUpdate = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
logger.error({ error, url: req.url }, "Error parsing JSON");
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
|
||||
@@ -2,7 +2,6 @@ import { logger } from "@formbricks/logger";
|
||||
import { DatabaseError, InvalidInputError } from "@formbricks/types/errors";
|
||||
import { TResponse, TResponseInput, ZResponseInput } from "@formbricks/types/responses";
|
||||
import { resolveBodyIds } from "@/app/api/v1/management/lib/workspace-resolver";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -92,14 +91,8 @@ export const POST = withV1ApiWrapper({
|
||||
try {
|
||||
let jsonInput;
|
||||
try {
|
||||
jsonInput = await parseJsonBodyWithLimit<Record<string, unknown>>(req);
|
||||
jsonInput = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
logger.error({ error, url: req.url }, "Error parsing JSON input");
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
|
||||
@@ -2,7 +2,6 @@ import { logger } from "@formbricks/logger";
|
||||
import { ZUploadPublicFileRequest } from "@formbricks/types/storage";
|
||||
import { resolveBodyIds } from "@/app/api/v1/management/lib/workspace-resolver";
|
||||
import { checkAuth } from "@/app/api/v1/management/storage/lib/utils";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -20,14 +19,8 @@ export const POST = withV1ApiWrapper({
|
||||
let storageInput;
|
||||
|
||||
try {
|
||||
storageInput = await parseJsonBodyWithLimit<Record<string, unknown>>(req);
|
||||
storageInput = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
logger.error({ error, url: req.url }, "Error parsing JSON input");
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
|
||||
@@ -9,7 +9,6 @@ import {
|
||||
addLegacyProjectOverwrites,
|
||||
normaliseProjectOverwritesToWorkspace,
|
||||
} from "@/app/lib/api/api-backwards-compat";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import {
|
||||
transformBlocksToQuestions,
|
||||
@@ -23,12 +22,6 @@ import { getSurvey, updateSurvey } from "@/lib/survey/service";
|
||||
import { hasPermission } from "@/modules/organization/settings/api-keys/lib/utils";
|
||||
import { resolveStorageUrlsInObject } from "@/modules/storage/utils";
|
||||
|
||||
type TSurveyUpdateBody = Record<string, unknown> & {
|
||||
blocks?: Parameters<typeof validateSurveyInput>[0]["blocks"];
|
||||
endings?: Parameters<typeof transformQuestionsToBlocks>[1];
|
||||
questions?: Parameters<typeof transformQuestionsToBlocks>[0];
|
||||
};
|
||||
|
||||
const fetchAndAuthorizeSurvey = async (
|
||||
surveyId: string,
|
||||
authentication: TAuthenticationApiKey,
|
||||
@@ -171,16 +164,10 @@ export const PUT = withV1ApiWrapper({
|
||||
};
|
||||
}
|
||||
|
||||
let surveyUpdate: TSurveyUpdateBody;
|
||||
let surveyUpdate;
|
||||
try {
|
||||
surveyUpdate = await parseJsonBodyWithLimit<TSurveyUpdateBody>(req);
|
||||
surveyUpdate = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
logger.error({ error, url: req.url }, "Error parsing JSON input");
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
@@ -201,7 +188,7 @@ export const PUT = withV1ApiWrapper({
|
||||
|
||||
if (hasQuestions) {
|
||||
surveyUpdate.blocks = transformQuestionsToBlocks(
|
||||
surveyUpdate.questions ?? [],
|
||||
surveyUpdate.questions,
|
||||
surveyUpdate.endings || result.survey.endings
|
||||
);
|
||||
surveyUpdate.questions = [];
|
||||
@@ -221,11 +208,7 @@ export const PUT = withV1ApiWrapper({
|
||||
};
|
||||
}
|
||||
|
||||
const featureCheckResult = await checkFeaturePermissions(
|
||||
surveyUpdate as Parameters<typeof checkFeaturePermissions>[0],
|
||||
organization,
|
||||
result.survey
|
||||
);
|
||||
const featureCheckResult = await checkFeaturePermissions(surveyUpdate, organization, result.survey);
|
||||
if (featureCheckResult) {
|
||||
return {
|
||||
response: featureCheckResult,
|
||||
|
||||
@@ -51,6 +51,7 @@ const mockOrganization: TOrganization = {
|
||||
usageCycleAnchor: new Date(),
|
||||
},
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
};
|
||||
|
||||
const mockFollowUp: TSurveyCreateInputWithWorkspaceId["followUps"][number] = {
|
||||
|
||||
@@ -8,7 +8,6 @@ import {
|
||||
addLegacyProjectOverwritesToList,
|
||||
normaliseProjectOverwritesToWorkspace,
|
||||
} from "@/app/lib/api/api-backwards-compat";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import {
|
||||
transformBlocksToQuestions,
|
||||
@@ -85,14 +84,8 @@ export const POST = withV1ApiWrapper({
|
||||
try {
|
||||
let surveyInput;
|
||||
try {
|
||||
surveyInput = await parseJsonBodyWithLimit<Record<string, unknown>>(req);
|
||||
surveyInput = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
logger.error({ error, url: req.url }, "Error parsing JSON");
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
|
||||
@@ -2,7 +2,6 @@ import { DatabaseError, InvalidInputError } from "@formbricks/types/errors";
|
||||
import { resolveBodyIds } from "@/app/api/v1/management/lib/workspace-resolver";
|
||||
import { createWebhook, getWebhooks } from "@/app/api/v1/webhooks/lib/webhook";
|
||||
import { ZWebhookInput } from "@/app/api/v1/webhooks/types/webhooks";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { THandlerParams, withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -41,14 +40,8 @@ export const POST = withV1ApiWrapper({
|
||||
|
||||
let webhookInput;
|
||||
try {
|
||||
webhookInput = await parseJsonBodyWithLimit<Record<string, unknown>>(req);
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
webhookInput = await req.json();
|
||||
} catch {
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
};
|
||||
|
||||
@@ -2,7 +2,6 @@ import { NextRequest } from "next/server";
|
||||
import { afterEach, beforeEach, describe, expect, test, vi } from "vitest";
|
||||
import { z } from "zod";
|
||||
import { TooManyRequestsError } from "@formbricks/types/errors";
|
||||
import { DEFAULT_REQUEST_BODY_LIMIT_BYTES } from "@/app/lib/api/request-body";
|
||||
import { withV3ApiWrapper } from "./api-wrapper";
|
||||
|
||||
const { mockAuthenticateRequest, mockGetServerSession } = vi.hoisted(() => ({
|
||||
|
||||
@@ -4,7 +4,6 @@ import { z } from "zod";
|
||||
import { logger } from "@formbricks/logger";
|
||||
import { TooManyRequestsError } from "@formbricks/types/errors";
|
||||
import { authenticateRequest } from "@/app/api/v1/auth";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { buildAuditLogBaseObject } from "@/app/lib/api/with-api-logging";
|
||||
import { getApiKeyFromHeaders } from "@/modules/api/lib/api-key-auth";
|
||||
import { authOptions } from "@/modules/auth/lib/authOptions";
|
||||
@@ -17,7 +16,6 @@ import {
|
||||
type InvalidParam,
|
||||
problemBadRequest,
|
||||
problemInternalError,
|
||||
problemPayloadTooLarge,
|
||||
problemTooManyRequests,
|
||||
problemUnauthorized,
|
||||
} from "./response";
|
||||
@@ -172,15 +170,8 @@ async function parseV3Input<S extends TV3Schemas | undefined, TProps>(
|
||||
let bodyData: unknown;
|
||||
|
||||
try {
|
||||
bodyData = await parseJsonBodyWithLimit(req);
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
ok: false,
|
||||
response: problemPayloadTooLarge(requestId, error.message, instance),
|
||||
};
|
||||
}
|
||||
|
||||
bodyData = await req.json();
|
||||
} catch {
|
||||
return {
|
||||
ok: false,
|
||||
response: problemBadRequest(requestId, "Invalid request body", {
|
||||
|
||||
@@ -3,7 +3,7 @@ import { beforeEach, describe, expect, test, vi } from "vitest";
|
||||
import { AuthorizationError } from "@formbricks/types/errors";
|
||||
import { checkAuthorizationUpdated } from "@/lib/utils/action-client/action-client-middleware";
|
||||
import { getOrganizationIdFromWorkspaceId } from "@/lib/utils/helper";
|
||||
import { findWorkspaceByIdOrLegacyEnvId } from "@/lib/utils/resolve-client-id";
|
||||
import { getWorkspace } from "@/lib/workspace/service";
|
||||
import { requireSessionWorkspaceAccess, requireV3WorkspaceAccess } from "./auth";
|
||||
|
||||
vi.mock("@formbricks/logger", () => ({
|
||||
@@ -19,8 +19,8 @@ vi.mock("@/lib/utils/helper", () => ({
|
||||
getOrganizationIdFromWorkspaceId: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@/lib/utils/resolve-client-id", () => ({
|
||||
findWorkspaceByIdOrLegacyEnvId: vi.fn(),
|
||||
vi.mock("@/lib/workspace/service", () => ({
|
||||
getWorkspace: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@/lib/utils/action-client/action-client-middleware", () => ({
|
||||
@@ -39,7 +39,7 @@ describe("requireSessionWorkspaceAccess", () => {
|
||||
expect(body.requestId).toBe(requestId);
|
||||
expect(body.status).toBe(401);
|
||||
expect(body.code).toBe("not_authenticated");
|
||||
expect(findWorkspaceByIdOrLegacyEnvId).not.toHaveBeenCalled();
|
||||
expect(getWorkspace).not.toHaveBeenCalled();
|
||||
expect(checkAuthorizationUpdated).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
@@ -55,11 +55,11 @@ describe("requireSessionWorkspaceAccess", () => {
|
||||
const body = await (result as Response).json();
|
||||
expect(body.requestId).toBe(requestId);
|
||||
expect(body.code).toBe("not_authenticated");
|
||||
expect(findWorkspaceByIdOrLegacyEnvId).not.toHaveBeenCalled();
|
||||
expect(getWorkspace).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("returns 403 when workspace is not found (avoid leaking existence)", async () => {
|
||||
vi.mocked(findWorkspaceByIdOrLegacyEnvId).mockResolvedValueOnce(null);
|
||||
vi.mocked(getWorkspace).mockResolvedValueOnce(null);
|
||||
const result = await requireSessionWorkspaceAccess(
|
||||
{ user: { id: "user_1" }, expires: "" } as any,
|
||||
"ws_nonexistent",
|
||||
@@ -72,12 +72,12 @@ describe("requireSessionWorkspaceAccess", () => {
|
||||
const body = await (result as Response).json();
|
||||
expect(body.requestId).toBe(requestId);
|
||||
expect(body.code).toBe("forbidden");
|
||||
expect(findWorkspaceByIdOrLegacyEnvId).toHaveBeenCalledWith("ws_nonexistent");
|
||||
expect(getWorkspace).toHaveBeenCalledWith("ws_nonexistent");
|
||||
expect(checkAuthorizationUpdated).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("returns 403 when user has no access to workspace", async () => {
|
||||
vi.mocked(findWorkspaceByIdOrLegacyEnvId).mockResolvedValueOnce({ id: "proj_abc" });
|
||||
vi.mocked(getWorkspace).mockResolvedValueOnce({ id: "proj_abc" } as any);
|
||||
vi.mocked(getOrganizationIdFromWorkspaceId).mockResolvedValueOnce("org_1");
|
||||
vi.mocked(checkAuthorizationUpdated).mockRejectedValueOnce(new AuthorizationError("Not authorized"));
|
||||
const result = await requireSessionWorkspaceAccess(
|
||||
@@ -102,7 +102,7 @@ describe("requireSessionWorkspaceAccess", () => {
|
||||
});
|
||||
|
||||
test("returns workspace context when session is valid and user has access", async () => {
|
||||
vi.mocked(findWorkspaceByIdOrLegacyEnvId).mockResolvedValueOnce({ id: "proj_abc" });
|
||||
vi.mocked(getWorkspace).mockResolvedValueOnce({ id: "proj_abc" } as any);
|
||||
vi.mocked(getOrganizationIdFromWorkspaceId).mockResolvedValueOnce("org_1");
|
||||
vi.mocked(checkAuthorizationUpdated).mockResolvedValueOnce(undefined as any);
|
||||
const result = await requireSessionWorkspaceAccess(
|
||||
@@ -144,7 +144,7 @@ function wsPerm(workspaceId: string, permission: ApiKeyPermission = ApiKeyPermis
|
||||
|
||||
describe("requireV3WorkspaceAccess", () => {
|
||||
beforeEach(() => {
|
||||
vi.mocked(findWorkspaceByIdOrLegacyEnvId).mockResolvedValue({ id: "proj_k" });
|
||||
vi.mocked(getWorkspace).mockResolvedValue({ id: "proj_k" } as any);
|
||||
vi.mocked(getOrganizationIdFromWorkspaceId).mockResolvedValue("org_k");
|
||||
});
|
||||
|
||||
@@ -154,7 +154,7 @@ describe("requireV3WorkspaceAccess", () => {
|
||||
});
|
||||
|
||||
test("delegates to session flow when user is present", async () => {
|
||||
vi.mocked(findWorkspaceByIdOrLegacyEnvId).mockResolvedValueOnce({ id: "proj_s" });
|
||||
vi.mocked(getWorkspace).mockResolvedValueOnce({ id: "proj_s" } as any);
|
||||
vi.mocked(getOrganizationIdFromWorkspaceId).mockResolvedValueOnce("org_s");
|
||||
vi.mocked(checkAuthorizationUpdated).mockResolvedValueOnce(undefined as any);
|
||||
const r = await requireV3WorkspaceAccess(
|
||||
@@ -179,7 +179,7 @@ describe("requireV3WorkspaceAccess", () => {
|
||||
workspaceId: "proj_k",
|
||||
organizationId: "org_k",
|
||||
});
|
||||
expect(findWorkspaceByIdOrLegacyEnvId).toHaveBeenCalledWith("proj_k");
|
||||
expect(getWorkspace).toHaveBeenCalledWith("proj_k");
|
||||
});
|
||||
|
||||
test("returns context for API key with write on workspace", async () => {
|
||||
@@ -239,7 +239,7 @@ describe("requireV3WorkspaceAccess", () => {
|
||||
});
|
||||
|
||||
test("returns 403 when the workspace cannot be resolved for an API key", async () => {
|
||||
vi.mocked(findWorkspaceByIdOrLegacyEnvId).mockResolvedValueOnce(null);
|
||||
vi.mocked(getWorkspace).mockResolvedValueOnce(null);
|
||||
const auth = {
|
||||
...keyBase,
|
||||
workspacePermissions: [wsPerm("proj_k", ApiKeyPermission.manage)],
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import { describe, expect, test } from "vitest";
|
||||
import {
|
||||
noContentResponse,
|
||||
problemBadRequest,
|
||||
problemForbidden,
|
||||
problemInternalError,
|
||||
@@ -13,7 +14,7 @@ import {
|
||||
describe("v3 problem responses", () => {
|
||||
test("problemBadRequest includes invalid_params", async () => {
|
||||
const res = problemBadRequest("rid", "bad", {
|
||||
invalid_params: [{ name: "x", reason: "y" }],
|
||||
invalid_params: [{ name: "x", reason: "y", identifier: "canonical-x" }],
|
||||
instance: "/p",
|
||||
});
|
||||
expect(res.status).toBe(400);
|
||||
@@ -21,7 +22,7 @@ describe("v3 problem responses", () => {
|
||||
const body = await res.json();
|
||||
expect(body.code).toBe("bad_request");
|
||||
expect(body.requestId).toBe("rid");
|
||||
expect(body.invalid_params).toEqual([{ name: "x", reason: "y" }]);
|
||||
expect(body.invalid_params).toEqual([{ name: "x", reason: "y", identifier: "canonical-x" }]);
|
||||
expect(body.instance).toBe("/p");
|
||||
});
|
||||
|
||||
@@ -118,3 +119,13 @@ describe("successResponse", () => {
|
||||
expect(res.headers.get("Cache-Control")).toBe("private, max-age=60");
|
||||
});
|
||||
});
|
||||
|
||||
describe("noContentResponse", () => {
|
||||
test("returns 204 without a body", async () => {
|
||||
const res = noContentResponse({ requestId: "req-empty" });
|
||||
expect(res.status).toBe(204);
|
||||
expect(res.headers.get("X-Request-Id")).toBe("req-empty");
|
||||
expect(res.headers.get("Cache-Control")).toContain("no-store");
|
||||
expect(await res.text()).toBe("");
|
||||
});
|
||||
});
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
const PROBLEM_JSON = "application/problem+json" as const;
|
||||
const CACHE_NO_STORE = "private, no-store" as const;
|
||||
|
||||
export type InvalidParam = { name: string; reason: string };
|
||||
export type InvalidParam = { name: string; reason: string; identifier?: string };
|
||||
|
||||
export type ProblemExtension = {
|
||||
code?: string;
|
||||
@@ -71,17 +71,6 @@ export function problemBadRequest(
|
||||
});
|
||||
}
|
||||
|
||||
export function problemPayloadTooLarge(
|
||||
requestId: string,
|
||||
detail: string = "Payload Too Large",
|
||||
instance?: string
|
||||
): Response {
|
||||
return problemResponse(413, "Payload Too Large", detail, requestId, {
|
||||
code: "payload_too_large",
|
||||
instance,
|
||||
});
|
||||
}
|
||||
|
||||
export function problemUnauthorized(
|
||||
requestId: string,
|
||||
detail: string = "Not authenticated",
|
||||
@@ -182,3 +171,18 @@ export function successResponse<T>(
|
||||
}
|
||||
);
|
||||
}
|
||||
|
||||
export function noContentResponse(options?: { requestId?: string; cache?: string }): Response {
|
||||
const headers: Record<string, string> = {
|
||||
"Cache-Control": options?.cache ?? CACHE_NO_STORE,
|
||||
};
|
||||
|
||||
if (options?.requestId) {
|
||||
headers["X-Request-Id"] = options.requestId;
|
||||
}
|
||||
|
||||
return new Response(null, {
|
||||
status: 204,
|
||||
headers,
|
||||
});
|
||||
}
|
||||
|
||||
@@ -1,45 +1,34 @@
|
||||
import { describe, expect, test, vi } from "vitest";
|
||||
import { ResourceNotFoundError } from "@formbricks/types/errors";
|
||||
import { getOrganizationIdFromWorkspaceId } from "@/lib/utils/helper";
|
||||
import { findWorkspaceByIdOrLegacyEnvId } from "@/lib/utils/resolve-client-id";
|
||||
import { getWorkspace } from "@/lib/workspace/service";
|
||||
import { resolveV3WorkspaceContext } from "./workspace-context";
|
||||
|
||||
vi.mock("@/lib/workspace/service", () => ({
|
||||
getWorkspace: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@/lib/utils/helper", () => ({
|
||||
getOrganizationIdFromWorkspaceId: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@/lib/utils/resolve-client-id", () => ({
|
||||
findWorkspaceByIdOrLegacyEnvId: vi.fn(),
|
||||
}));
|
||||
|
||||
describe("resolveV3WorkspaceContext", () => {
|
||||
test("returns workspaceId and organizationId when workspace exists", async () => {
|
||||
vi.mocked(findWorkspaceByIdOrLegacyEnvId).mockResolvedValueOnce({ id: "ws_abc" });
|
||||
vi.mocked(getWorkspace).mockResolvedValueOnce({ id: "ws_abc" });
|
||||
vi.mocked(getOrganizationIdFromWorkspaceId).mockResolvedValueOnce("org_123");
|
||||
const result = await resolveV3WorkspaceContext("ws_abc");
|
||||
expect(result).toEqual({
|
||||
workspaceId: "ws_abc",
|
||||
organizationId: "org_123",
|
||||
});
|
||||
expect(findWorkspaceByIdOrLegacyEnvId).toHaveBeenCalledWith("ws_abc");
|
||||
expect(getWorkspace).toHaveBeenCalledWith("ws_abc");
|
||||
expect(getOrganizationIdFromWorkspaceId).toHaveBeenCalledWith("ws_abc");
|
||||
});
|
||||
|
||||
test("resolves legacy environmentId to canonical workspaceId", async () => {
|
||||
vi.mocked(findWorkspaceByIdOrLegacyEnvId).mockResolvedValueOnce({ id: "ws_canonical" });
|
||||
vi.mocked(getOrganizationIdFromWorkspaceId).mockResolvedValueOnce("org_456");
|
||||
const result = await resolveV3WorkspaceContext("env_legacy");
|
||||
expect(result).toEqual({
|
||||
workspaceId: "ws_canonical",
|
||||
organizationId: "org_456",
|
||||
});
|
||||
expect(getOrganizationIdFromWorkspaceId).toHaveBeenCalledWith("ws_canonical");
|
||||
});
|
||||
|
||||
test("throws when workspace does not exist", async () => {
|
||||
vi.mocked(findWorkspaceByIdOrLegacyEnvId).mockResolvedValueOnce(null);
|
||||
vi.mocked(getWorkspace).mockResolvedValueOnce(null);
|
||||
await expect(resolveV3WorkspaceContext("ws_nonexistent")).rejects.toThrow(ResourceNotFoundError);
|
||||
expect(findWorkspaceByIdOrLegacyEnvId).toHaveBeenCalledWith("ws_nonexistent");
|
||||
expect(getWorkspace).toHaveBeenCalledWith("ws_nonexistent");
|
||||
expect(getOrganizationIdFromWorkspaceId).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
*/
|
||||
import { ResourceNotFoundError } from "@formbricks/types/errors";
|
||||
import { getOrganizationIdFromWorkspaceId } from "@/lib/utils/helper";
|
||||
import { findWorkspaceByIdOrLegacyEnvId } from "@/lib/utils/resolve-client-id";
|
||||
import { getWorkspace } from "@/lib/workspace/service";
|
||||
|
||||
/**
|
||||
* Internal IDs derived from a V3 workspace identifier.
|
||||
@@ -19,21 +19,20 @@ export type V3WorkspaceContext = {
|
||||
};
|
||||
|
||||
/**
|
||||
* Resolves a V3 API workspaceId (or legacy environmentId) to internal workspaceId and organizationId.
|
||||
* Resolves a V3 API workspaceId to internal workspaceId and organizationId.
|
||||
*
|
||||
* @throws ResourceNotFoundError if the workspace does not exist.
|
||||
*/
|
||||
export async function resolveV3WorkspaceContext(workspaceId: string): Promise<V3WorkspaceContext> {
|
||||
const workspace = await findWorkspaceByIdOrLegacyEnvId(workspaceId);
|
||||
const workspace = await getWorkspace(workspaceId);
|
||||
if (!workspace) {
|
||||
throw new ResourceNotFoundError("workspace", workspaceId);
|
||||
}
|
||||
|
||||
const canonicalId = workspace.id;
|
||||
const organizationId = await getOrganizationIdFromWorkspaceId(canonicalId);
|
||||
const organizationId = await getOrganizationIdFromWorkspaceId(workspace.id);
|
||||
|
||||
return {
|
||||
workspaceId: canonicalId,
|
||||
workspaceId: workspace.id,
|
||||
organizationId,
|
||||
};
|
||||
}
|
||||
|
||||
@@ -1,318 +0,0 @@
|
||||
import { ApiKeyPermission } from "@prisma/client";
|
||||
import { NextRequest } from "next/server";
|
||||
import { afterEach, beforeEach, describe, expect, test, vi } from "vitest";
|
||||
import { DatabaseError, ResourceNotFoundError } from "@formbricks/types/errors";
|
||||
import { requireV3WorkspaceAccess } from "@/app/api/v3/lib/auth";
|
||||
import { getSurvey } from "@/lib/survey/service";
|
||||
import { deleteSurvey } from "@/modules/survey/lib/surveys";
|
||||
import { DELETE } from "./route";
|
||||
|
||||
const { mockAuthenticateRequest } = vi.hoisted(() => ({
|
||||
mockAuthenticateRequest: vi.fn(),
|
||||
}));
|
||||
|
||||
const { mockQueueAuditEvent, mockBuildAuditLogBaseObject } = vi.hoisted(() => ({
|
||||
mockQueueAuditEvent: vi.fn().mockImplementation(async () => undefined),
|
||||
mockBuildAuditLogBaseObject: vi.fn((action: string, targetType: string, apiUrl: string) => ({
|
||||
action,
|
||||
targetType,
|
||||
userId: "unknown",
|
||||
targetId: "unknown",
|
||||
organizationId: "unknown",
|
||||
status: "failure",
|
||||
oldObject: undefined,
|
||||
newObject: undefined,
|
||||
userType: "api",
|
||||
apiUrl,
|
||||
})),
|
||||
}));
|
||||
|
||||
vi.mock("next-auth", () => ({
|
||||
getServerSession: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@/app/api/v1/auth", async (importOriginal) => {
|
||||
const actual = await importOriginal<typeof import("@/app/api/v1/auth")>();
|
||||
return { ...actual, authenticateRequest: mockAuthenticateRequest };
|
||||
});
|
||||
|
||||
vi.mock("@/modules/core/rate-limit/helpers", () => ({
|
||||
applyRateLimit: vi.fn().mockResolvedValue(undefined),
|
||||
applyIPRateLimit: vi.fn().mockResolvedValue(undefined),
|
||||
}));
|
||||
|
||||
vi.mock("@/lib/constants", async (importOriginal) => {
|
||||
const actual = await importOriginal<typeof import("@/lib/constants")>();
|
||||
return { ...actual, AUDIT_LOG_ENABLED: false };
|
||||
});
|
||||
|
||||
vi.mock("@/app/api/v3/lib/auth", () => ({
|
||||
requireV3WorkspaceAccess: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@/lib/survey/service", () => ({
|
||||
getSurvey: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@/modules/survey/lib/surveys", () => ({
|
||||
deleteSurvey: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@/modules/ee/audit-logs/lib/handler", () => ({
|
||||
queueAuditEvent: mockQueueAuditEvent,
|
||||
}));
|
||||
|
||||
vi.mock("@/app/lib/api/with-api-logging", () => ({
|
||||
buildAuditLogBaseObject: mockBuildAuditLogBaseObject,
|
||||
}));
|
||||
|
||||
vi.mock("@formbricks/logger", () => ({
|
||||
logger: {
|
||||
withContext: vi.fn(() => ({
|
||||
warn: vi.fn(),
|
||||
error: vi.fn(),
|
||||
})),
|
||||
},
|
||||
}));
|
||||
|
||||
const getServerSession = vi.mocked((await import("next-auth")).getServerSession);
|
||||
const queueAuditEvent = vi.mocked((await import("@/modules/ee/audit-logs/lib/handler")).queueAuditEvent);
|
||||
|
||||
const surveyId = "clxx1234567890123456789012";
|
||||
const workspaceId = "clzz9876543210987654321098";
|
||||
|
||||
function createRequest(url: string, requestId?: string, extraHeaders?: Record<string, string>): NextRequest {
|
||||
const headers: Record<string, string> = { ...extraHeaders };
|
||||
if (requestId) {
|
||||
headers["x-request-id"] = requestId;
|
||||
}
|
||||
|
||||
return new NextRequest(url, {
|
||||
method: "DELETE",
|
||||
headers,
|
||||
});
|
||||
}
|
||||
|
||||
const apiKeyAuth = {
|
||||
type: "apiKey" as const,
|
||||
apiKeyId: "key_1",
|
||||
organizationId: "org_1",
|
||||
organizationAccess: {
|
||||
accessControl: { read: true, write: true },
|
||||
},
|
||||
workspacePermissions: [
|
||||
{
|
||||
workspaceId,
|
||||
workspaceName: "W",
|
||||
permission: ApiKeyPermission.write,
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
describe("DELETE /api/v3/surveys/[surveyId]", () => {
|
||||
beforeEach(() => {
|
||||
vi.resetAllMocks();
|
||||
getServerSession.mockResolvedValue({
|
||||
user: { id: "user_1", name: "User", email: "u@example.com" },
|
||||
expires: "2026-01-01",
|
||||
} as any);
|
||||
mockAuthenticateRequest.mockResolvedValue(null);
|
||||
vi.mocked(getSurvey).mockResolvedValue({
|
||||
id: surveyId,
|
||||
name: "Delete me",
|
||||
workspaceId: workspaceId,
|
||||
type: "link",
|
||||
status: "draft",
|
||||
createdAt: new Date("2026-04-15T10:00:00.000Z"),
|
||||
updatedAt: new Date("2026-04-15T10:00:00.000Z"),
|
||||
responseCount: 0,
|
||||
creator: { name: "User" },
|
||||
singleUse: null,
|
||||
} as any);
|
||||
vi.mocked(deleteSurvey).mockResolvedValue({
|
||||
id: surveyId,
|
||||
workspaceId,
|
||||
type: "link",
|
||||
segment: null,
|
||||
triggers: [],
|
||||
} as any);
|
||||
vi.mocked(requireV3WorkspaceAccess).mockResolvedValue({
|
||||
workspaceId,
|
||||
organizationId: "org_1",
|
||||
});
|
||||
});
|
||||
|
||||
afterEach(() => {
|
||||
vi.clearAllMocks();
|
||||
});
|
||||
|
||||
test("returns 401 when no session and no API key", async () => {
|
||||
getServerSession.mockResolvedValue(null);
|
||||
mockAuthenticateRequest.mockResolvedValue(null);
|
||||
|
||||
const res = await DELETE(createRequest(`http://localhost/api/v3/surveys/${surveyId}`), {
|
||||
params: Promise.resolve({ surveyId }),
|
||||
} as never);
|
||||
|
||||
expect(res.status).toBe(401);
|
||||
expect(vi.mocked(getSurvey)).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("returns 200 with session auth and deletes the survey", async () => {
|
||||
const res = await DELETE(createRequest(`http://localhost/api/v3/surveys/${surveyId}`, "req-delete"), {
|
||||
params: Promise.resolve({ surveyId }),
|
||||
} as never);
|
||||
|
||||
expect(res.status).toBe(200);
|
||||
expect(requireV3WorkspaceAccess).toHaveBeenCalledWith(
|
||||
expect.objectContaining({ user: expect.any(Object) }),
|
||||
workspaceId,
|
||||
"readWrite",
|
||||
"req-delete",
|
||||
`/api/v3/surveys/${surveyId}`
|
||||
);
|
||||
expect(deleteSurvey).toHaveBeenCalledWith(surveyId);
|
||||
expect(await res.json()).toEqual({
|
||||
data: {
|
||||
id: surveyId,
|
||||
},
|
||||
});
|
||||
});
|
||||
|
||||
test("returns 200 with x-api-key when the key can delete in the survey workspace", async () => {
|
||||
getServerSession.mockResolvedValue(null);
|
||||
mockAuthenticateRequest.mockResolvedValue(apiKeyAuth as any);
|
||||
|
||||
const res = await DELETE(
|
||||
createRequest(`http://localhost/api/v3/surveys/${surveyId}`, "req-api-key", {
|
||||
"x-api-key": "fbk_test",
|
||||
}),
|
||||
{
|
||||
params: Promise.resolve({ surveyId }),
|
||||
} as never
|
||||
);
|
||||
|
||||
expect(res.status).toBe(200);
|
||||
expect(requireV3WorkspaceAccess).toHaveBeenCalledWith(
|
||||
expect.objectContaining({ apiKeyId: "key_1" }),
|
||||
workspaceId,
|
||||
"readWrite",
|
||||
"req-api-key",
|
||||
`/api/v3/surveys/${surveyId}`
|
||||
);
|
||||
});
|
||||
|
||||
test("returns 400 when surveyId is invalid", async () => {
|
||||
const res = await DELETE(createRequest("http://localhost/api/v3/surveys/not-a-cuid"), {
|
||||
params: Promise.resolve({ surveyId: "not-a-cuid" }),
|
||||
} as never);
|
||||
|
||||
expect(res.status).toBe(400);
|
||||
expect(vi.mocked(getSurvey)).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("returns 403 when the survey does not exist", async () => {
|
||||
vi.mocked(getSurvey).mockResolvedValueOnce(null);
|
||||
|
||||
const res = await DELETE(createRequest(`http://localhost/api/v3/surveys/${surveyId}`), {
|
||||
params: Promise.resolve({ surveyId }),
|
||||
} as never);
|
||||
|
||||
expect(res.status).toBe(403);
|
||||
expect(deleteSurvey).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("returns 403 when the user lacks readWrite workspace access", async () => {
|
||||
vi.mocked(requireV3WorkspaceAccess).mockResolvedValueOnce(
|
||||
new Response(
|
||||
JSON.stringify({
|
||||
title: "Forbidden",
|
||||
status: 403,
|
||||
detail: "You are not authorized to access this resource",
|
||||
requestId: "req-forbidden",
|
||||
}),
|
||||
{ status: 403, headers: { "Content-Type": "application/problem+json" } }
|
||||
)
|
||||
);
|
||||
|
||||
const res = await DELETE(createRequest(`http://localhost/api/v3/surveys/${surveyId}`, "req-forbidden"), {
|
||||
params: Promise.resolve({ surveyId }),
|
||||
} as never);
|
||||
|
||||
expect(res.status).toBe(403);
|
||||
expect(deleteSurvey).not.toHaveBeenCalled();
|
||||
expect(queueAuditEvent).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
action: "deleted",
|
||||
targetType: "survey",
|
||||
targetId: "unknown",
|
||||
organizationId: "unknown",
|
||||
userId: "user_1",
|
||||
userType: "user",
|
||||
status: "failure",
|
||||
oldObject: undefined,
|
||||
})
|
||||
);
|
||||
});
|
||||
|
||||
test("returns 500 when survey deletion fails", async () => {
|
||||
vi.mocked(deleteSurvey).mockRejectedValueOnce(new DatabaseError("db down"));
|
||||
|
||||
const res = await DELETE(createRequest(`http://localhost/api/v3/surveys/${surveyId}`, "req-db"), {
|
||||
params: Promise.resolve({ surveyId }),
|
||||
} as never);
|
||||
|
||||
expect(res.status).toBe(500);
|
||||
const body = await res.json();
|
||||
expect(body.code).toBe("internal_server_error");
|
||||
});
|
||||
|
||||
test("returns 403 when the survey is deleted after authorization succeeds", async () => {
|
||||
vi.mocked(deleteSurvey).mockRejectedValueOnce(new ResourceNotFoundError("Survey", surveyId));
|
||||
|
||||
const res = await DELETE(createRequest(`http://localhost/api/v3/surveys/${surveyId}`, "req-race"), {
|
||||
params: Promise.resolve({ surveyId }),
|
||||
} as never);
|
||||
|
||||
expect(res.status).toBe(403);
|
||||
const body = await res.json();
|
||||
expect(body.code).toBe("forbidden");
|
||||
expect(queueAuditEvent).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
action: "deleted",
|
||||
targetType: "survey",
|
||||
targetId: surveyId,
|
||||
organizationId: "org_1",
|
||||
userId: "user_1",
|
||||
userType: "user",
|
||||
status: "failure",
|
||||
oldObject: expect.objectContaining({
|
||||
id: surveyId,
|
||||
workspaceId: workspaceId,
|
||||
}),
|
||||
})
|
||||
);
|
||||
});
|
||||
|
||||
test("queues an audit log with target, actor, organization, and old object", async () => {
|
||||
await DELETE(createRequest(`http://localhost/api/v3/surveys/${surveyId}`, "req-audit"), {
|
||||
params: Promise.resolve({ surveyId }),
|
||||
} as never);
|
||||
|
||||
expect(queueAuditEvent).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
action: "deleted",
|
||||
targetType: "survey",
|
||||
targetId: surveyId,
|
||||
organizationId: "org_1",
|
||||
userId: "user_1",
|
||||
userType: "user",
|
||||
status: "success",
|
||||
oldObject: expect.objectContaining({
|
||||
id: surveyId,
|
||||
workspaceId: workspaceId,
|
||||
}),
|
||||
})
|
||||
);
|
||||
});
|
||||
});
|
||||
@@ -2,42 +2,141 @@ import { z } from "zod";
|
||||
import { logger } from "@formbricks/logger";
|
||||
import { DatabaseError, ResourceNotFoundError } from "@formbricks/types/errors";
|
||||
import { withV3ApiWrapper } from "@/app/api/v3/lib/api-wrapper";
|
||||
import { requireV3WorkspaceAccess } from "@/app/api/v3/lib/auth";
|
||||
import { problemForbidden, problemInternalError, successResponse } from "@/app/api/v3/lib/response";
|
||||
import { getSurvey } from "@/lib/survey/service";
|
||||
import {
|
||||
noContentResponse,
|
||||
problemBadRequest,
|
||||
problemForbidden,
|
||||
problemInternalError,
|
||||
successResponse,
|
||||
} from "@/app/api/v3/lib/response";
|
||||
import {
|
||||
V3SurveyLanguageError,
|
||||
V3SurveyUnsupportedShapeError,
|
||||
serializeV3SurveyResource,
|
||||
} from "@/app/api/v3/surveys/serializers";
|
||||
import { deleteSurvey } from "@/modules/survey/lib/surveys";
|
||||
import { getAuthorizedV3Survey } from "../authorization";
|
||||
import { parseV3SurveyLanguageQuery } from "../language";
|
||||
|
||||
const surveyParamsSchema = z.object({
|
||||
surveyId: z.cuid2(),
|
||||
});
|
||||
|
||||
const surveyQuerySchema = z
|
||||
.object({
|
||||
lang: z
|
||||
.union([z.string(), z.array(z.string())])
|
||||
.transform((value, ctx) => {
|
||||
const parsedLanguageQuery = parseV3SurveyLanguageQuery(value);
|
||||
|
||||
if (!parsedLanguageQuery.ok) {
|
||||
ctx.addIssue({
|
||||
code: "custom",
|
||||
message: parsedLanguageQuery.message,
|
||||
});
|
||||
return z.NEVER;
|
||||
}
|
||||
|
||||
return parsedLanguageQuery.languages;
|
||||
})
|
||||
.optional(),
|
||||
})
|
||||
.strict();
|
||||
|
||||
export const GET = withV3ApiWrapper({
|
||||
auth: "both",
|
||||
schemas: {
|
||||
params: surveyParamsSchema,
|
||||
query: surveyQuerySchema,
|
||||
},
|
||||
handler: async ({ parsedInput, authentication, requestId, instance }) => {
|
||||
const surveyId = parsedInput.params.surveyId;
|
||||
const log = logger.withContext({ requestId, surveyId });
|
||||
|
||||
try {
|
||||
const { survey, response } = await getAuthorizedV3Survey({
|
||||
surveyId,
|
||||
authentication,
|
||||
access: "read",
|
||||
requestId,
|
||||
instance,
|
||||
});
|
||||
|
||||
if (response) {
|
||||
log.warn({ statusCode: response.status }, "Survey not found or not accessible");
|
||||
return response;
|
||||
}
|
||||
|
||||
try {
|
||||
return successResponse(serializeV3SurveyResource(survey, { lang: parsedInput.query.lang }), {
|
||||
requestId,
|
||||
cache: "private, no-store",
|
||||
});
|
||||
} catch (error) {
|
||||
if (error instanceof V3SurveyLanguageError) {
|
||||
log.warn({ statusCode: 400, lang: parsedInput.query.lang }, "Invalid survey language selector");
|
||||
return problemBadRequest(requestId, error.message, {
|
||||
instance,
|
||||
invalid_params: [
|
||||
{
|
||||
name: "lang",
|
||||
reason: error.message,
|
||||
...(error.normalizedCode && { identifier: error.normalizedCode }),
|
||||
},
|
||||
],
|
||||
});
|
||||
}
|
||||
|
||||
if (error instanceof V3SurveyUnsupportedShapeError) {
|
||||
log.warn({ statusCode: 400 }, "Unsupported v3 survey shape");
|
||||
return problemBadRequest(requestId, error.message, {
|
||||
instance,
|
||||
invalid_params: [
|
||||
{
|
||||
name: "survey",
|
||||
reason: error.message,
|
||||
},
|
||||
],
|
||||
});
|
||||
}
|
||||
|
||||
throw error;
|
||||
}
|
||||
} catch (error) {
|
||||
if (error instanceof DatabaseError) {
|
||||
log.error({ error, statusCode: 500 }, "Database error");
|
||||
return problemInternalError(requestId, "An unexpected error occurred.", instance);
|
||||
}
|
||||
|
||||
log.error({ error, statusCode: 500 }, "V3 survey get unexpected error");
|
||||
return problemInternalError(requestId, "An unexpected error occurred.", instance);
|
||||
}
|
||||
},
|
||||
});
|
||||
|
||||
export const DELETE = withV3ApiWrapper({
|
||||
auth: "both",
|
||||
action: "deleted",
|
||||
targetType: "survey",
|
||||
schemas: {
|
||||
params: z.object({
|
||||
surveyId: z.cuid2(),
|
||||
}),
|
||||
params: surveyParamsSchema,
|
||||
},
|
||||
handler: async ({ parsedInput, authentication, requestId, instance, auditLog }) => {
|
||||
const surveyId = parsedInput.params.surveyId;
|
||||
const log = logger.withContext({ requestId, surveyId });
|
||||
|
||||
try {
|
||||
const survey = await getSurvey(surveyId);
|
||||
|
||||
if (!survey) {
|
||||
log.warn({ statusCode: 403 }, "Survey not found or not accessible");
|
||||
return problemForbidden(requestId, "You are not authorized to access this resource", instance);
|
||||
}
|
||||
|
||||
const authResult = await requireV3WorkspaceAccess(
|
||||
const { survey, authResult, response } = await getAuthorizedV3Survey({
|
||||
surveyId,
|
||||
authentication,
|
||||
survey.workspaceId,
|
||||
"readWrite",
|
||||
access: "readWrite",
|
||||
requestId,
|
||||
instance
|
||||
);
|
||||
instance,
|
||||
});
|
||||
|
||||
if (authResult instanceof Response) {
|
||||
return authResult;
|
||||
if (response) {
|
||||
log.warn({ statusCode: 403 }, "Survey not found or not accessible");
|
||||
return response;
|
||||
}
|
||||
|
||||
if (auditLog) {
|
||||
@@ -46,14 +145,9 @@ export const DELETE = withV3ApiWrapper({
|
||||
auditLog.oldObject = survey;
|
||||
}
|
||||
|
||||
const deletedSurvey = await deleteSurvey(surveyId);
|
||||
await deleteSurvey(surveyId);
|
||||
|
||||
return successResponse(
|
||||
{
|
||||
id: deletedSurvey.id,
|
||||
},
|
||||
{ requestId }
|
||||
);
|
||||
return noContentResponse({ requestId });
|
||||
} catch (error) {
|
||||
if (error instanceof ResourceNotFoundError) {
|
||||
log.warn({ errorCode: error.name, statusCode: 403 }, "Survey not found or not accessible");
|
||||
|
||||
@@ -0,0 +1,71 @@
|
||||
import { describe, expect, test, vi } from "vitest";
|
||||
import { requireV3WorkspaceAccess } from "@/app/api/v3/lib/auth";
|
||||
import { getSurvey } from "@/lib/survey/service";
|
||||
import { getAuthorizedV3Survey } from "./authorization";
|
||||
|
||||
vi.mock("@/app/api/v3/lib/auth", () => ({
|
||||
requireV3WorkspaceAccess: vi.fn(),
|
||||
}));
|
||||
|
||||
vi.mock("@/lib/survey/service", () => ({
|
||||
getSurvey: vi.fn(),
|
||||
}));
|
||||
|
||||
const survey = {
|
||||
id: "clsv1234567890123456789012",
|
||||
workspaceId: "clxx1234567890123456789012",
|
||||
};
|
||||
const surveyRecord = survey as unknown as NonNullable<Awaited<ReturnType<typeof getSurvey>>>;
|
||||
|
||||
describe("getAuthorizedV3Survey", () => {
|
||||
test("returns a generic forbidden response when the survey does not exist", async () => {
|
||||
vi.mocked(getSurvey).mockResolvedValue(null);
|
||||
|
||||
const result = await getAuthorizedV3Survey({
|
||||
surveyId: survey.id,
|
||||
authentication: null,
|
||||
access: "read",
|
||||
requestId: "req_1",
|
||||
instance: "/api/v3/surveys/clsv1234567890123456789012",
|
||||
});
|
||||
|
||||
expect(result.response?.status).toBe(403);
|
||||
expect(requireV3WorkspaceAccess).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("returns the authorization response when workspace access is denied", async () => {
|
||||
const forbiddenResponse = new Response(null, { status: 403 });
|
||||
vi.mocked(getSurvey).mockResolvedValue(surveyRecord);
|
||||
vi.mocked(requireV3WorkspaceAccess).mockResolvedValue(forbiddenResponse);
|
||||
|
||||
const result = await getAuthorizedV3Survey({
|
||||
surveyId: survey.id,
|
||||
authentication: null,
|
||||
access: "readWrite",
|
||||
requestId: "req_2",
|
||||
instance: "/api/v3/surveys/clsv1234567890123456789012",
|
||||
});
|
||||
|
||||
expect(result.response).toBe(forbiddenResponse);
|
||||
});
|
||||
|
||||
test("returns the survey and authorization context when access is allowed", async () => {
|
||||
const authResult = { workspaceId: survey.workspaceId, organizationId: "org_1" };
|
||||
vi.mocked(getSurvey).mockResolvedValue(surveyRecord);
|
||||
vi.mocked(requireV3WorkspaceAccess).mockResolvedValue(authResult);
|
||||
|
||||
const result = await getAuthorizedV3Survey({
|
||||
surveyId: survey.id,
|
||||
authentication: null,
|
||||
access: "read",
|
||||
requestId: "req_3",
|
||||
instance: "/api/v3/surveys/clsv1234567890123456789012",
|
||||
});
|
||||
|
||||
expect(result).toEqual({
|
||||
survey,
|
||||
authResult,
|
||||
response: null,
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,37 @@
|
||||
import { requireV3WorkspaceAccess } from "@/app/api/v3/lib/auth";
|
||||
import { problemForbidden } from "@/app/api/v3/lib/response";
|
||||
import type { TV3Authentication } from "@/app/api/v3/lib/types";
|
||||
import { getSurvey } from "@/lib/survey/service";
|
||||
|
||||
export async function getAuthorizedV3Survey(params: {
|
||||
surveyId: string;
|
||||
authentication: TV3Authentication;
|
||||
access: "read" | "readWrite";
|
||||
requestId: string;
|
||||
instance: string;
|
||||
}) {
|
||||
const { surveyId, authentication, access, requestId, instance } = params;
|
||||
const survey = await getSurvey(surveyId);
|
||||
|
||||
if (!survey) {
|
||||
return {
|
||||
survey: null,
|
||||
authResult: null,
|
||||
response: problemForbidden(requestId, "You are not authorized to access this resource", instance),
|
||||
};
|
||||
}
|
||||
|
||||
const authResult = await requireV3WorkspaceAccess(
|
||||
authentication,
|
||||
survey.workspaceId,
|
||||
access,
|
||||
requestId,
|
||||
instance
|
||||
);
|
||||
|
||||
if (authResult instanceof Response) {
|
||||
return { survey: null, authResult: null, response: authResult };
|
||||
}
|
||||
|
||||
return { survey, authResult, response: null };
|
||||
}
|
||||
@@ -0,0 +1,120 @@
|
||||
import { describe, expect, test } from "vitest";
|
||||
import {
|
||||
normalizeV3SurveyLanguageTag,
|
||||
parseV3SurveyLanguageQuery,
|
||||
resolveV3SurveyLanguageCode,
|
||||
} from "./language";
|
||||
|
||||
const languages = [
|
||||
{ code: "en-US", enabled: true },
|
||||
{ code: "de-DE", enabled: true },
|
||||
{ code: "fr-FR", enabled: false },
|
||||
];
|
||||
|
||||
describe("normalizeV3SurveyLanguageTag", () => {
|
||||
test.each([
|
||||
["EN_us", "en-US"],
|
||||
["en-us", "en-US"],
|
||||
["zh_hans_cn", "zh-Hans-CN"],
|
||||
["ZH-hant-tw", "zh-Hant-TW"],
|
||||
])("normalizes %s to %s", (input, expected) => {
|
||||
expect(normalizeV3SurveyLanguageTag(input)).toBe(expected);
|
||||
});
|
||||
|
||||
test("returns null for invalid language tags", () => {
|
||||
expect(normalizeV3SurveyLanguageTag("not a locale")).toBeNull();
|
||||
});
|
||||
|
||||
test("returns null for language-only tags", () => {
|
||||
expect(normalizeV3SurveyLanguageTag("de")).toBeNull();
|
||||
});
|
||||
|
||||
test("returns null for script-only tags without a region", () => {
|
||||
expect(normalizeV3SurveyLanguageTag("zh_Hans")).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
describe("parseV3SurveyLanguageQuery", () => {
|
||||
test("parses comma-separated language selectors", () => {
|
||||
expect(parseV3SurveyLanguageQuery("de-DE, pt_PT, EN_us, zh_hans_cn")).toEqual({
|
||||
ok: true,
|
||||
languages: ["de-DE", "pt-PT", "en-US", "zh-Hans-CN"],
|
||||
});
|
||||
});
|
||||
|
||||
test("parses repeated language selectors", () => {
|
||||
expect(parseV3SurveyLanguageQuery(["de-DE", "pt_PT,en_us"])).toEqual({
|
||||
ok: true,
|
||||
languages: ["de-DE", "pt-PT", "en-US"],
|
||||
});
|
||||
});
|
||||
|
||||
test("deduplicates language selectors case-insensitively", () => {
|
||||
expect(parseV3SurveyLanguageQuery("de-DE,DE_de")).toEqual({
|
||||
ok: true,
|
||||
languages: ["de-DE"],
|
||||
});
|
||||
});
|
||||
|
||||
test("rejects empty language selectors", () => {
|
||||
expect(parseV3SurveyLanguageQuery("de-DE,")).toEqual({
|
||||
ok: false,
|
||||
message: "Language selector must contain valid comma-separated locale codes",
|
||||
});
|
||||
});
|
||||
|
||||
test("rejects invalid language selectors", () => {
|
||||
expect(parseV3SurveyLanguageQuery("not a locale")).toEqual({
|
||||
ok: false,
|
||||
message: "Language 'not a locale' is not a valid locale code",
|
||||
});
|
||||
});
|
||||
|
||||
test("rejects language-only selectors", () => {
|
||||
expect(parseV3SurveyLanguageQuery("de")).toEqual({
|
||||
ok: false,
|
||||
message: "Language 'de' is not a valid locale code",
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe("resolveV3SurveyLanguageCode", () => {
|
||||
test("matches configured languages case-insensitively and normalizes underscores", () => {
|
||||
expect(resolveV3SurveyLanguageCode("DE_de", languages)).toEqual({ ok: true, code: "de-DE" });
|
||||
});
|
||||
|
||||
test("matches configured script-region languages case-insensitively and normalizes underscores", () => {
|
||||
expect(resolveV3SurveyLanguageCode("ZH_hans_cn", [{ code: "zh-Hans-CN", enabled: true }])).toEqual({
|
||||
ok: true,
|
||||
code: "zh-Hans-CN",
|
||||
});
|
||||
});
|
||||
|
||||
test("resolves disabled configured languages for management reads", () => {
|
||||
expect(resolveV3SurveyLanguageCode("fr-FR", languages)).toEqual({ ok: true, code: "fr-FR" });
|
||||
});
|
||||
|
||||
test("returns unknown for languages not configured on the survey", () => {
|
||||
expect(resolveV3SurveyLanguageCode("ZH_hant_tw", languages)).toEqual({
|
||||
ok: false,
|
||||
reason: "unknown",
|
||||
normalizedCode: "zh-Hant-TW",
|
||||
message: "Language 'zh-Hant-TW' is not configured for this survey",
|
||||
});
|
||||
});
|
||||
|
||||
test("rejects language-only tags for surveys with a matching configured language", () => {
|
||||
expect(resolveV3SurveyLanguageCode("de", languages)).toEqual({
|
||||
ok: false,
|
||||
reason: "invalid",
|
||||
message: "Language 'de' is not a valid locale code",
|
||||
});
|
||||
});
|
||||
|
||||
test("resolves the implicit default locale for surveys without configured languages", () => {
|
||||
expect(resolveV3SurveyLanguageCode("en-US", [{ code: "en-US", enabled: true }])).toEqual({
|
||||
ok: true,
|
||||
code: "en-US",
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,97 @@
|
||||
type TV3SurveyLanguageInput = {
|
||||
code: string;
|
||||
enabled: boolean;
|
||||
};
|
||||
|
||||
type TV3SurveyLanguageQueryInput = string | string[];
|
||||
|
||||
type TResolveV3SurveyLanguageCodeResult =
|
||||
| { ok: true; code: string }
|
||||
| { ok: false; reason: "invalid" | "unknown"; message: string; normalizedCode?: string };
|
||||
|
||||
type TParseV3SurveyLanguageQueryResult = { ok: true; languages: string[] } | { ok: false; message: string };
|
||||
|
||||
const V3_SURVEY_LOCALE_CODE_REGEX = /^[a-z]{2}(?:-[A-Z][a-z]{3})?-[A-Z]{2}$/;
|
||||
|
||||
export function normalizeV3SurveyLanguageTag(value: string): string | null {
|
||||
const normalizedSeparators = value.trim().replaceAll("_", "-");
|
||||
|
||||
try {
|
||||
const normalizedLanguage = Intl.getCanonicalLocales(normalizedSeparators)[0] ?? null;
|
||||
if (!normalizedLanguage || !V3_SURVEY_LOCALE_CODE_REGEX.test(normalizedLanguage)) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return normalizedLanguage;
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
export function parseV3SurveyLanguageQuery(
|
||||
value: TV3SurveyLanguageQueryInput
|
||||
): TParseV3SurveyLanguageQueryResult {
|
||||
const requestedLanguages = (Array.isArray(value) ? value : [value])
|
||||
.flatMap((entry) => entry.split(","))
|
||||
.map((entry) => entry.trim());
|
||||
|
||||
if (requestedLanguages.some((entry) => entry.length === 0)) {
|
||||
return {
|
||||
ok: false,
|
||||
message: "Language selector must contain valid comma-separated locale codes",
|
||||
};
|
||||
}
|
||||
|
||||
const normalizedLanguages: string[] = [];
|
||||
|
||||
for (const language of requestedLanguages) {
|
||||
const normalizedLanguage = normalizeV3SurveyLanguageTag(language);
|
||||
|
||||
if (!normalizedLanguage) {
|
||||
return {
|
||||
ok: false,
|
||||
message: `Language '${language}' is not a valid locale code`,
|
||||
};
|
||||
}
|
||||
|
||||
if (!normalizedLanguages.some((entry) => entry.toLowerCase() === normalizedLanguage.toLowerCase())) {
|
||||
normalizedLanguages.push(normalizedLanguage);
|
||||
}
|
||||
}
|
||||
|
||||
return { ok: true, languages: normalizedLanguages };
|
||||
}
|
||||
|
||||
export function resolveV3SurveyLanguageCode(
|
||||
requestedLanguage: string,
|
||||
languages: TV3SurveyLanguageInput[]
|
||||
): TResolveV3SurveyLanguageCodeResult {
|
||||
const normalizedRequestedLanguage = normalizeV3SurveyLanguageTag(requestedLanguage);
|
||||
|
||||
if (!normalizedRequestedLanguage) {
|
||||
return {
|
||||
ok: false,
|
||||
reason: "invalid",
|
||||
message: `Language '${requestedLanguage}' is not a valid locale code`,
|
||||
};
|
||||
}
|
||||
|
||||
const normalizedLanguages = languages.map((language) => ({
|
||||
...language,
|
||||
code: normalizeV3SurveyLanguageTag(language.code) ?? language.code,
|
||||
}));
|
||||
const exactMatch = normalizedLanguages.find(
|
||||
(language) => language.code.toLowerCase() === normalizedRequestedLanguage.toLowerCase()
|
||||
);
|
||||
|
||||
if (exactMatch) {
|
||||
return { ok: true, code: exactMatch.code };
|
||||
}
|
||||
|
||||
return {
|
||||
ok: false,
|
||||
reason: "unknown",
|
||||
normalizedCode: normalizedRequestedLanguage,
|
||||
message: `Language '${normalizedRequestedLanguage}' is not configured for this survey`,
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,290 @@
|
||||
import { describe, expect, test } from "vitest";
|
||||
import type { TSurvey } from "@formbricks/types/surveys/types";
|
||||
import {
|
||||
V3SurveyLanguageError,
|
||||
V3SurveyUnsupportedShapeError,
|
||||
serializeV3SurveyResource,
|
||||
} from "./serializers";
|
||||
|
||||
const baseSurvey = {
|
||||
id: "survey_1",
|
||||
workspaceId: "workspace_1",
|
||||
createdAt: new Date("2026-04-21T10:00:00.000Z"),
|
||||
updatedAt: new Date("2026-04-21T11:00:00.000Z"),
|
||||
name: "Product Feedback",
|
||||
type: "link",
|
||||
status: "draft",
|
||||
metadata: { cx: "enterprise" },
|
||||
languages: [
|
||||
{
|
||||
default: true,
|
||||
enabled: true,
|
||||
language: { id: "lang_1", code: "en-US", alias: "en", createdAt: new Date(), updatedAt: new Date() },
|
||||
},
|
||||
{
|
||||
default: false,
|
||||
enabled: true,
|
||||
language: { id: "lang_2", code: "de-DE", alias: "de", createdAt: new Date(), updatedAt: new Date() },
|
||||
},
|
||||
{
|
||||
default: false,
|
||||
enabled: false,
|
||||
language: { id: "lang_3", code: "fr-FR", alias: "fr", createdAt: new Date(), updatedAt: new Date() },
|
||||
},
|
||||
],
|
||||
questions: [],
|
||||
welcomeCard: {
|
||||
enabled: true,
|
||||
headline: { default: "Welcome", "de-DE": "Willkommen", "fr-FR": "Bienvenue" },
|
||||
},
|
||||
blocks: [
|
||||
{
|
||||
id: "block_1",
|
||||
name: "Intro",
|
||||
elements: [
|
||||
{
|
||||
id: "satisfaction",
|
||||
type: "openText",
|
||||
headline: { default: "What should we improve?", "de-DE": "Was sollen wir verbessern?" },
|
||||
subheader: { default: "Tell us more" },
|
||||
required: true,
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
endings: [],
|
||||
hiddenFields: { enabled: false, fieldIds: [] },
|
||||
variables: [],
|
||||
} as unknown as TSurvey;
|
||||
|
||||
describe("serializeV3SurveyResource", () => {
|
||||
test("returns canonical multilingual fields using real locale codes", () => {
|
||||
const resource = serializeV3SurveyResource(baseSurvey);
|
||||
|
||||
expect(resource.defaultLanguage).toBe("en-US");
|
||||
expect(resource).not.toHaveProperty("language");
|
||||
expect(resource.languages).toEqual([
|
||||
{ code: "en-US", default: true, enabled: true },
|
||||
{ code: "de-DE", default: false, enabled: true },
|
||||
{ code: "fr-FR", default: false, enabled: false },
|
||||
]);
|
||||
expect(resource).toMatchObject({
|
||||
welcomeCard: {
|
||||
headline: {
|
||||
"en-US": "Welcome",
|
||||
"de-DE": "Willkommen",
|
||||
"fr-FR": "Bienvenue",
|
||||
},
|
||||
},
|
||||
});
|
||||
expect(resource).toMatchObject({
|
||||
blocks: [
|
||||
{
|
||||
elements: [
|
||||
{
|
||||
headline: {
|
||||
"en-US": "What should we improve?",
|
||||
"de-DE": "Was sollen wir verbessern?",
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
});
|
||||
|
||||
test("does not expose the internal default pseudo-locale for surveys without configured languages", () => {
|
||||
const survey = {
|
||||
...baseSurvey,
|
||||
languages: [],
|
||||
welcomeCard: {
|
||||
enabled: true,
|
||||
headline: { default: "Welcome" },
|
||||
},
|
||||
blocks: [
|
||||
{
|
||||
id: "block_1",
|
||||
name: "Intro",
|
||||
elements: [
|
||||
{
|
||||
id: "satisfaction",
|
||||
type: "openText",
|
||||
headline: { default: "What should we improve?" },
|
||||
required: true,
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
} as unknown as TSurvey;
|
||||
|
||||
const resource = serializeV3SurveyResource(survey);
|
||||
|
||||
expect(resource.defaultLanguage).toBe("en-US");
|
||||
expect(resource.languages).toEqual([{ code: "en-US", default: true, enabled: true }]);
|
||||
expect(resource).toMatchObject({
|
||||
welcomeCard: { headline: { "en-US": "Welcome" } },
|
||||
blocks: [
|
||||
{
|
||||
elements: [
|
||||
{
|
||||
headline: { "en-US": "What should we improve?" },
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
});
|
||||
|
||||
test("filters the implicit default language for surveys without configured languages", () => {
|
||||
const survey = {
|
||||
...baseSurvey,
|
||||
languages: [],
|
||||
welcomeCard: {
|
||||
enabled: true,
|
||||
headline: { default: "Welcome" },
|
||||
},
|
||||
} as unknown as TSurvey;
|
||||
|
||||
const resource = serializeV3SurveyResource(survey, { lang: ["en-US"] });
|
||||
|
||||
expect(resource).not.toHaveProperty("language");
|
||||
expect(resource).toMatchObject({ welcomeCard: { headline: { "en-US": "Welcome" } } });
|
||||
});
|
||||
|
||||
test("preserves stored locale variants when their keys use non-canonical casing or separators", () => {
|
||||
const survey = {
|
||||
...baseSurvey,
|
||||
welcomeCard: {
|
||||
enabled: true,
|
||||
headline: { default: "Welcome", de_de: "Willkommen" },
|
||||
},
|
||||
} as unknown as TSurvey;
|
||||
|
||||
const resource = serializeV3SurveyResource(survey);
|
||||
|
||||
expect(resource).toMatchObject({
|
||||
welcomeCard: {
|
||||
headline: {
|
||||
"en-US": "Welcome",
|
||||
"de-DE": "Willkommen",
|
||||
},
|
||||
},
|
||||
});
|
||||
});
|
||||
|
||||
test("filters fields for case-insensitive underscore language selectors while preserving maps", () => {
|
||||
const resource = serializeV3SurveyResource(baseSurvey, { lang: ["DE_de"] });
|
||||
|
||||
expect(resource).not.toHaveProperty("language");
|
||||
expect(resource).toMatchObject({
|
||||
welcomeCard: { headline: { "de-DE": "Willkommen" } },
|
||||
blocks: [
|
||||
{
|
||||
elements: [
|
||||
{
|
||||
headline: { "de-DE": "Was sollen wir verbessern?" },
|
||||
subheader: { "de-DE": "Tell us more" },
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
});
|
||||
|
||||
test("filters script-region locale selectors while preserving maps", () => {
|
||||
const survey = {
|
||||
...baseSurvey,
|
||||
languages: [
|
||||
...baseSurvey.languages,
|
||||
{
|
||||
default: false,
|
||||
enabled: true,
|
||||
language: {
|
||||
id: "lang_4",
|
||||
code: "zh-Hans-CN",
|
||||
alias: null,
|
||||
createdAt: new Date(),
|
||||
updatedAt: new Date(),
|
||||
},
|
||||
},
|
||||
],
|
||||
welcomeCard: {
|
||||
enabled: true,
|
||||
headline: { default: "Welcome", zh_hans_cn: "欢迎" },
|
||||
},
|
||||
} as unknown as TSurvey;
|
||||
|
||||
const resource = serializeV3SurveyResource(survey, { lang: ["ZH_hans_cn"] });
|
||||
|
||||
expect(resource).toMatchObject({
|
||||
welcomeCard: { headline: { "zh-Hans-CN": "欢迎" } },
|
||||
});
|
||||
});
|
||||
|
||||
test("filters disabled configured languages for management reads", () => {
|
||||
const resource = serializeV3SurveyResource(baseSurvey, { lang: ["fr-FR"] });
|
||||
|
||||
expect(resource).toMatchObject({ welcomeCard: { headline: { "fr-FR": "Bienvenue" } } });
|
||||
});
|
||||
|
||||
test("filters multiple requested languages while preserving maps", () => {
|
||||
const resource = serializeV3SurveyResource(baseSurvey, { lang: ["en-US", "de-DE"] });
|
||||
|
||||
expect(resource).not.toHaveProperty("language");
|
||||
expect(resource).toMatchObject({
|
||||
welcomeCard: {
|
||||
headline: {
|
||||
"en-US": "Welcome",
|
||||
"de-DE": "Willkommen",
|
||||
},
|
||||
},
|
||||
blocks: [
|
||||
{
|
||||
elements: [
|
||||
{
|
||||
headline: {
|
||||
"en-US": "What should we improve?",
|
||||
"de-DE": "Was sollen wir verbessern?",
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
});
|
||||
|
||||
test("rejects language-only selectors", () => {
|
||||
expect(() => serializeV3SurveyResource(baseSurvey, { lang: ["de"] })).toThrow(
|
||||
"Language 'de' is not a valid locale code"
|
||||
);
|
||||
});
|
||||
|
||||
test("exposes the normalized locale code for unknown language errors", () => {
|
||||
try {
|
||||
serializeV3SurveyResource(baseSurvey, { lang: ["ES_es"] });
|
||||
} catch (error) {
|
||||
if (!(error instanceof V3SurveyLanguageError)) {
|
||||
throw error;
|
||||
}
|
||||
|
||||
expect(error.message).toBe("Language 'es-ES' is not configured for this survey");
|
||||
expect(error.normalizedCode).toBe("es-ES");
|
||||
return;
|
||||
}
|
||||
|
||||
throw new Error("Expected V3SurveyLanguageError");
|
||||
});
|
||||
|
||||
test("rejects legacy question-based survey shapes instead of returning an incomplete block resource", () => {
|
||||
const survey = {
|
||||
...baseSurvey,
|
||||
questions: [{ id: "legacy_question", type: "openText", headline: { default: "Legacy question" } }],
|
||||
blocks: [],
|
||||
} as unknown as TSurvey;
|
||||
|
||||
expect(() => serializeV3SurveyResource(survey)).toThrow(V3SurveyUnsupportedShapeError);
|
||||
expect(() => serializeV3SurveyResource(survey)).toThrow(
|
||||
"Legacy question-based surveys are not supported by the v3 survey management API"
|
||||
);
|
||||
});
|
||||
});
|
||||
@@ -1,13 +1,195 @@
|
||||
import type { TSurvey } from "@/modules/survey/list/types/surveys";
|
||||
import type { TSurvey as TInternalSurvey } from "@formbricks/types/surveys/types";
|
||||
import type { TSurvey as TSurveyListRecord } from "@/modules/survey/list/types/surveys";
|
||||
import { normalizeV3SurveyLanguageTag, resolveV3SurveyLanguageCode } from "./language";
|
||||
|
||||
export type TV3SurveyListItem = Omit<TSurvey, "singleUse">;
|
||||
export type TV3SurveyListItem = Omit<TSurveyListRecord, "singleUse">;
|
||||
const DEFAULT_V3_SURVEY_LANGUAGE = "en-US";
|
||||
|
||||
type TV3SurveyLanguage = {
|
||||
code: string;
|
||||
default: boolean;
|
||||
enabled: boolean;
|
||||
};
|
||||
|
||||
type TSerializedValue =
|
||||
| string
|
||||
| number
|
||||
| boolean
|
||||
| null
|
||||
| TSerializedValue[]
|
||||
| { [key: string]: TSerializedValue };
|
||||
|
||||
export class V3SurveyLanguageError extends Error {
|
||||
constructor(
|
||||
message: string,
|
||||
readonly normalizedCode?: string
|
||||
) {
|
||||
super(message);
|
||||
this.name = "V3SurveyLanguageError";
|
||||
}
|
||||
}
|
||||
|
||||
export class V3SurveyUnsupportedShapeError extends Error {
|
||||
constructor(message: string) {
|
||||
super(message);
|
||||
this.name = "V3SurveyUnsupportedShapeError";
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Keep the v3 API contract isolated from internal persistence naming.
|
||||
* Surveys are scoped by workspaceId.
|
||||
*/
|
||||
export function serializeV3SurveyListItem(survey: TSurvey): TV3SurveyListItem {
|
||||
export function serializeV3SurveyListItem(survey: TSurveyListRecord): TV3SurveyListItem {
|
||||
const { singleUse: _omitSingleUse, ...rest } = survey;
|
||||
|
||||
return rest;
|
||||
}
|
||||
|
||||
function toIsoString(value: Date | string): string {
|
||||
return value instanceof Date ? value.toISOString() : new Date(value).toISOString();
|
||||
}
|
||||
|
||||
function getSurveyLanguages(survey: TInternalSurvey): TV3SurveyLanguage[] {
|
||||
const languages = (survey.languages ?? []).map((surveyLanguage) => ({
|
||||
code: normalizeV3SurveyLanguageTag(surveyLanguage.language.code) ?? surveyLanguage.language.code,
|
||||
default: surveyLanguage.default,
|
||||
enabled: surveyLanguage.enabled,
|
||||
}));
|
||||
|
||||
if (languages.length === 0) {
|
||||
return [{ code: DEFAULT_V3_SURVEY_LANGUAGE, default: true, enabled: true }];
|
||||
}
|
||||
|
||||
return languages;
|
||||
}
|
||||
|
||||
function getDefaultLanguage(survey: TInternalSurvey): string {
|
||||
const defaultLanguageCode = survey.languages?.find((surveyLanguage) => surveyLanguage.default)?.language
|
||||
.code;
|
||||
return defaultLanguageCode
|
||||
? (normalizeV3SurveyLanguageTag(defaultLanguageCode) ?? defaultLanguageCode)
|
||||
: DEFAULT_V3_SURVEY_LANGUAGE;
|
||||
}
|
||||
|
||||
function isPlainObject(value: unknown): value is Record<string, unknown> {
|
||||
return typeof value === "object" && value !== null && !Array.isArray(value);
|
||||
}
|
||||
|
||||
function isI18nString(value: unknown): value is Record<string, string> {
|
||||
return (
|
||||
isPlainObject(value) &&
|
||||
typeof value.default === "string" &&
|
||||
Object.values(value).every((entry) => typeof entry === "string")
|
||||
);
|
||||
}
|
||||
|
||||
function getI18nValueForLanguage(value: Record<string, string>, languageCode: string): string | undefined {
|
||||
if (typeof value[languageCode] === "string") {
|
||||
return value[languageCode];
|
||||
}
|
||||
|
||||
const matchingKey = Object.keys(value).find(
|
||||
(key) => normalizeV3SurveyLanguageTag(key)?.toLowerCase() === languageCode.toLowerCase()
|
||||
);
|
||||
return matchingKey ? value[matchingKey] : undefined;
|
||||
}
|
||||
|
||||
function serializeCanonicalValue(
|
||||
value: unknown,
|
||||
defaultLanguage: string,
|
||||
languageCodes: Set<string>,
|
||||
options?: { fallbackMissingTranslations?: boolean }
|
||||
): TSerializedValue {
|
||||
if (isI18nString(value)) {
|
||||
const result: Record<string, string> = {
|
||||
[defaultLanguage]: value.default,
|
||||
};
|
||||
|
||||
for (const languageCode of languageCodes) {
|
||||
const translatedValue = getI18nValueForLanguage(value, languageCode);
|
||||
if (languageCode !== defaultLanguage) {
|
||||
if (translatedValue !== undefined) {
|
||||
result[languageCode] = translatedValue;
|
||||
} else if (options?.fallbackMissingTranslations) {
|
||||
result[languageCode] = value.default;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (!languageCodes.has(defaultLanguage)) {
|
||||
delete result[defaultLanguage];
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
if (Array.isArray(value)) {
|
||||
return value.map((entry) => serializeCanonicalValue(entry, defaultLanguage, languageCodes, options));
|
||||
}
|
||||
|
||||
if (isPlainObject(value)) {
|
||||
return Object.fromEntries(
|
||||
Object.entries(value).map(([key, entry]) => [
|
||||
key,
|
||||
serializeCanonicalValue(entry, defaultLanguage, languageCodes, options),
|
||||
])
|
||||
);
|
||||
}
|
||||
|
||||
return value as TSerializedValue;
|
||||
}
|
||||
|
||||
function resolveRequestedLanguage(languages: TV3SurveyLanguage[], language: string): string {
|
||||
const result = resolveV3SurveyLanguageCode(language, languages);
|
||||
|
||||
if (!result.ok) {
|
||||
throw new V3SurveyLanguageError(result.message, result.normalizedCode);
|
||||
}
|
||||
|
||||
return result.code;
|
||||
}
|
||||
|
||||
function resolveRequestedLanguages(languages: TV3SurveyLanguage[], requestedLanguages?: string[]): string[] {
|
||||
if (!requestedLanguages) {
|
||||
return [];
|
||||
}
|
||||
|
||||
return requestedLanguages.map((language) => resolveRequestedLanguage(languages, language));
|
||||
}
|
||||
|
||||
export function serializeV3SurveyResource(survey: TInternalSurvey, options?: { lang?: string[] }) {
|
||||
if (Array.isArray(survey.questions) && survey.questions.length > 0) {
|
||||
throw new V3SurveyUnsupportedShapeError(
|
||||
"Legacy question-based surveys are not supported by the v3 survey management API"
|
||||
);
|
||||
}
|
||||
|
||||
const defaultLanguage = getDefaultLanguage(survey);
|
||||
const languages = getSurveyLanguages(survey);
|
||||
const configuredLanguageCodes = new Set(languages.map((language) => language.code));
|
||||
const requestedLanguages = resolveRequestedLanguages(languages, options?.lang);
|
||||
const languageCodes = requestedLanguages.length > 0 ? new Set(requestedLanguages) : configuredLanguageCodes;
|
||||
const serializeValue = (value: unknown) =>
|
||||
serializeCanonicalValue(value, defaultLanguage, languageCodes, {
|
||||
fallbackMissingTranslations: requestedLanguages.length > 0,
|
||||
});
|
||||
|
||||
return {
|
||||
id: survey.id,
|
||||
workspaceId: survey.workspaceId,
|
||||
createdAt: toIsoString(survey.createdAt),
|
||||
updatedAt: toIsoString(survey.updatedAt),
|
||||
name: survey.name,
|
||||
type: survey.type,
|
||||
status: survey.status,
|
||||
metadata: survey.metadata,
|
||||
defaultLanguage,
|
||||
languages,
|
||||
welcomeCard: serializeValue(survey.welcomeCard),
|
||||
blocks: serializeValue(survey.blocks),
|
||||
endings: serializeValue(survey.endings),
|
||||
hiddenFields: survey.hiddenFields,
|
||||
variables: survey.variables,
|
||||
};
|
||||
}
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import { describe, expect, test } from "vitest";
|
||||
import { z } from "zod";
|
||||
import { parseAndValidateJsonBody } from "./parse-and-validate-json-body";
|
||||
import { DEFAULT_REQUEST_BODY_LIMIT_BYTES } from "./request-body";
|
||||
|
||||
describe("parseAndValidateJsonBody", () => {
|
||||
test("returns a malformed JSON response when request parsing fails", async () => {
|
||||
|
||||
@@ -1,9 +1,8 @@
|
||||
import { z } from "zod";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
|
||||
type TJsonBodyValidationIssue = "invalid_json" | "invalid_body" | "payload_too_large";
|
||||
type TJsonBodyValidationIssue = "invalid_json" | "invalid_body";
|
||||
|
||||
type TJsonBodyValidationError = {
|
||||
details: Record<string, string> | { error: string };
|
||||
@@ -45,18 +44,10 @@ export const parseAndValidateJsonBody = async <TSchema extends z.ZodTypeAny>({
|
||||
let jsonInput: unknown;
|
||||
|
||||
try {
|
||||
jsonInput = await parseJsonBodyWithLimit(request);
|
||||
jsonInput = await request.json();
|
||||
} catch (error) {
|
||||
const details = { error: getErrorMessage(error) };
|
||||
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
details,
|
||||
issue: "payload_too_large",
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", details, true),
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
details,
|
||||
issue: "invalid_json",
|
||||
|
||||
@@ -1,90 +0,0 @@
|
||||
export const DEFAULT_REQUEST_BODY_LIMIT_BYTES = 2 * 1024 * 1024;
|
||||
|
||||
export class RequestBodyTooLargeError extends Error {
|
||||
readonly actualBytes: number | null;
|
||||
readonly limitBytes: number;
|
||||
|
||||
constructor(limitBytes: number, actualBytes: number | null = null) {
|
||||
super(`Request body must not exceed ${limitBytes} bytes`);
|
||||
this.name = "RequestBodyTooLargeError";
|
||||
this.limitBytes = limitBytes;
|
||||
this.actualBytes = actualBytes;
|
||||
}
|
||||
}
|
||||
|
||||
const textDecoder = new TextDecoder();
|
||||
|
||||
const getContentLength = (headers: Headers): number | null => {
|
||||
const contentLength = headers.get("content-length");
|
||||
if (!contentLength) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const parsedContentLength = Number(contentLength);
|
||||
if (!Number.isSafeInteger(parsedContentLength) || parsedContentLength < 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
return parsedContentLength;
|
||||
};
|
||||
|
||||
const assertBodySize = (actualBytes: number, limitBytes: number): void => {
|
||||
if (actualBytes > limitBytes) {
|
||||
throw new RequestBodyTooLargeError(limitBytes, actualBytes);
|
||||
}
|
||||
};
|
||||
|
||||
export const readRequestBodyWithLimit = async (
|
||||
request: Request,
|
||||
limitBytes: number = DEFAULT_REQUEST_BODY_LIMIT_BYTES
|
||||
): Promise<string> => {
|
||||
const contentLength = getContentLength(request.headers);
|
||||
if (contentLength !== null) {
|
||||
assertBodySize(contentLength, limitBytes);
|
||||
}
|
||||
|
||||
if (!request.body) {
|
||||
return "";
|
||||
}
|
||||
|
||||
const reader = request.body.getReader();
|
||||
const chunks: Uint8Array[] = [];
|
||||
let receivedBytes = 0;
|
||||
|
||||
while (true) {
|
||||
const { done, value } = await reader.read();
|
||||
if (done) {
|
||||
break;
|
||||
}
|
||||
|
||||
receivedBytes += value.byteLength;
|
||||
if (receivedBytes > limitBytes) {
|
||||
await reader.cancel().catch(() => undefined);
|
||||
throw new RequestBodyTooLargeError(limitBytes, receivedBytes);
|
||||
}
|
||||
|
||||
chunks.push(value);
|
||||
}
|
||||
|
||||
if (chunks.length === 0) {
|
||||
return "";
|
||||
}
|
||||
|
||||
if (chunks.length === 1) {
|
||||
return textDecoder.decode(chunks[0]);
|
||||
}
|
||||
|
||||
const body = new Uint8Array(receivedBytes);
|
||||
let offset = 0;
|
||||
for (const chunk of chunks) {
|
||||
body.set(chunk, offset);
|
||||
offset += chunk.byteLength;
|
||||
}
|
||||
|
||||
return textDecoder.decode(body);
|
||||
};
|
||||
|
||||
export const parseJsonBodyWithLimit = async <TJson = unknown>(
|
||||
request: Request,
|
||||
limitBytes: number = DEFAULT_REQUEST_BODY_LIMIT_BYTES
|
||||
): Promise<TJson> => JSON.parse(await readRequestBodyWithLimit(request, limitBytes)) as TJson;
|
||||
@@ -17,8 +17,7 @@ interface ApiErrorResponse {
|
||||
| "not_authenticated"
|
||||
| "forbidden"
|
||||
| "too_many_requests"
|
||||
| "conflict"
|
||||
| "payload_too_large";
|
||||
| "conflict";
|
||||
message: string;
|
||||
details: {
|
||||
[key: string]: string | string[] | number | number[] | boolean | boolean[];
|
||||
@@ -81,30 +80,6 @@ const badRequestResponse = (
|
||||
);
|
||||
};
|
||||
|
||||
const payloadTooLargeResponse = (
|
||||
message: string = "Payload Too Large",
|
||||
details: ApiErrorResponse["details"] = {},
|
||||
cors: boolean = false,
|
||||
cache: string = "private, no-store"
|
||||
) => {
|
||||
const headers = {
|
||||
...(cors && corsHeaders),
|
||||
"Cache-Control": cache,
|
||||
};
|
||||
|
||||
return Response.json(
|
||||
{
|
||||
code: "payload_too_large",
|
||||
message,
|
||||
details,
|
||||
},
|
||||
{
|
||||
status: 413,
|
||||
headers,
|
||||
}
|
||||
);
|
||||
};
|
||||
|
||||
const methodNotAllowedResponse = (
|
||||
res: CustomNextApiResponse,
|
||||
allowedMethods: string[],
|
||||
@@ -319,7 +294,6 @@ export const responses = {
|
||||
unauthorizedResponse,
|
||||
notFoundResponse,
|
||||
successResponse,
|
||||
payloadTooLargeResponse,
|
||||
tooManyRequestsResponse,
|
||||
forbiddenResponse,
|
||||
conflictResponse,
|
||||
|
||||
@@ -1859,7 +1859,6 @@ checksums:
|
||||
workspace/contacts/attribute_key_hint: 1a68c6f91e1a5cf9eff811e2e54e92b8
|
||||
workspace/contacts/attribute_key_placeholder: 31702e553b3f138a623dbaa42b6f878f
|
||||
workspace/contacts/attribute_key_required: 75f22558e9bafe7da2a549e75fab5f75
|
||||
workspace/contacts/attribute_key_reserved_future_default: 2dbd2159bb6883bf56195448789ef72e
|
||||
workspace/contacts/attribute_key_safe_identifier_required: aece7d4708065ec5f110b82fc061621d
|
||||
workspace/contacts/attribute_label: a5c71bf158481233f8215dbd38cc196b
|
||||
workspace/contacts/attribute_label_placeholder: bf5106cb14d2ec0c21e7d8b4ab1f3a93
|
||||
@@ -1894,7 +1893,6 @@ checksums:
|
||||
workspace/contacts/generate_personal_link: 9ac0865f6876d40fe858f94eae781eb8
|
||||
workspace/contacts/generate_personal_link_description: b9dbaf9e2d8362505b7e3cfa40f415a6
|
||||
workspace/contacts/invalid_csv_column_names: dcb8534e7d4c00b9ea7bdaf389f72328
|
||||
workspace/contacts/invalid_csv_reserved_column_names: 6fef9d55e3dd298fea069404c9aaa474
|
||||
workspace/contacts/invalid_date_format: 5bad9730ac5a5bacd0792098f712b1c4
|
||||
workspace/contacts/invalid_number_format: bd0422507385f671c3046730a6febc64
|
||||
workspace/contacts/no_activity_yet: f88897ac05afd6bf8af0d4834ad24ffc
|
||||
|
||||
@@ -3,6 +3,7 @@ import { OperationNotAllowedError, ResourceNotFoundError } from "@formbricks/typ
|
||||
import {
|
||||
assertOrganizationAIConfigured,
|
||||
generateOrganizationAIText,
|
||||
getAIDataAnalysisUnavailableReason,
|
||||
getAISmartToolsUnavailableReason,
|
||||
getOrganizationAIConfig,
|
||||
isInstanceAIConfigured,
|
||||
@@ -12,6 +13,7 @@ const mocks = vi.hoisted(() => ({
|
||||
generateText: vi.fn(),
|
||||
isAiConfigured: vi.fn(),
|
||||
getOrganization: vi.fn(),
|
||||
getIsAIDataAnalysisEnabled: vi.fn(),
|
||||
getIsAISmartToolsEnabled: vi.fn(),
|
||||
loggerError: vi.fn(),
|
||||
}));
|
||||
@@ -61,6 +63,7 @@ vi.mock("@/lib/organization/service", () => ({
|
||||
}));
|
||||
|
||||
vi.mock("@/modules/ee/license-check/lib/utils", () => ({
|
||||
getIsAIDataAnalysisEnabled: mocks.getIsAIDataAnalysisEnabled,
|
||||
getIsAISmartToolsEnabled: mocks.getIsAISmartToolsEnabled,
|
||||
}));
|
||||
|
||||
@@ -72,8 +75,10 @@ describe("AI organization service", () => {
|
||||
mocks.getOrganization.mockResolvedValue({
|
||||
id: "org_1",
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
});
|
||||
mocks.getIsAISmartToolsEnabled.mockResolvedValue(true);
|
||||
mocks.getIsAIDataAnalysisEnabled.mockResolvedValue(true);
|
||||
});
|
||||
|
||||
test("returns the instance AI status and organization settings", async () => {
|
||||
@@ -84,7 +89,9 @@ describe("AI organization service", () => {
|
||||
expect(result).toMatchObject({
|
||||
organizationId: "org_1",
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
isAISmartToolsEntitled: true,
|
||||
isAIDataAnalysisEntitled: true,
|
||||
isInstanceConfigured: true,
|
||||
});
|
||||
});
|
||||
@@ -98,22 +105,29 @@ describe("AI organization service", () => {
|
||||
test("fails closed when the organization is not entitled to AI", async () => {
|
||||
mocks.getIsAISmartToolsEnabled.mockResolvedValueOnce(false);
|
||||
|
||||
await expect(assertOrganizationAIConfigured("org_1")).rejects.toThrow(OperationNotAllowedError);
|
||||
await expect(assertOrganizationAIConfigured("org_1", "smartTools")).rejects.toThrow(
|
||||
OperationNotAllowedError
|
||||
);
|
||||
});
|
||||
|
||||
test("fails closed when the requested AI capability is disabled", async () => {
|
||||
mocks.getOrganization.mockResolvedValueOnce({
|
||||
id: "org_1",
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: true,
|
||||
});
|
||||
|
||||
await expect(assertOrganizationAIConfigured("org_1")).rejects.toThrow(OperationNotAllowedError);
|
||||
await expect(assertOrganizationAIConfigured("org_1", "smartTools")).rejects.toThrow(
|
||||
OperationNotAllowedError
|
||||
);
|
||||
});
|
||||
|
||||
test("fails closed when the instance AI configuration is incomplete", async () => {
|
||||
mocks.isAiConfigured.mockReturnValueOnce(false);
|
||||
|
||||
await expect(assertOrganizationAIConfigured("org_1")).rejects.toThrow(OperationNotAllowedError);
|
||||
await expect(assertOrganizationAIConfigured("org_1", "smartTools")).rejects.toThrow(
|
||||
OperationNotAllowedError
|
||||
);
|
||||
});
|
||||
|
||||
test("generates organization AI text with the configured package abstraction", async () => {
|
||||
@@ -122,6 +136,7 @@ describe("AI organization service", () => {
|
||||
|
||||
const result = await generateOrganizationAIText({
|
||||
organizationId: "org_1",
|
||||
capability: "smartTools",
|
||||
prompt: "Translate this survey",
|
||||
});
|
||||
|
||||
@@ -145,12 +160,14 @@ describe("AI organization service", () => {
|
||||
await expect(
|
||||
generateOrganizationAIText({
|
||||
organizationId: "org_1",
|
||||
capability: "smartTools",
|
||||
prompt: "Translate this survey",
|
||||
})
|
||||
).rejects.toThrow(modelError);
|
||||
expect(mocks.loggerError).toHaveBeenCalledWith(
|
||||
{
|
||||
organizationId: "org_1",
|
||||
capability: "smartTools",
|
||||
isInstanceConfigured: true,
|
||||
errorCode: undefined,
|
||||
err: modelError,
|
||||
@@ -159,11 +176,46 @@ describe("AI organization service", () => {
|
||||
);
|
||||
});
|
||||
|
||||
describe("getAIDataAnalysisUnavailableReason", () => {
|
||||
const baseConfig = {
|
||||
organizationId: "org_1",
|
||||
isAISmartToolsEntitled: true,
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEntitled: true,
|
||||
isAIDataAnalysisEnabled: true,
|
||||
isInstanceConfigured: true,
|
||||
};
|
||||
|
||||
test("returns undefined when all checks pass", () => {
|
||||
expect(getAIDataAnalysisUnavailableReason(baseConfig)).toBeUndefined();
|
||||
});
|
||||
|
||||
test("returns not_in_plan when not entitled", () => {
|
||||
expect(getAIDataAnalysisUnavailableReason({ ...baseConfig, isAIDataAnalysisEntitled: false })).toBe(
|
||||
"not_in_plan"
|
||||
);
|
||||
});
|
||||
|
||||
test("returns not_enabled when disabled at org level", () => {
|
||||
expect(getAIDataAnalysisUnavailableReason({ ...baseConfig, isAIDataAnalysisEnabled: false })).toBe(
|
||||
"not_enabled"
|
||||
);
|
||||
});
|
||||
|
||||
test("returns instance_not_configured when instance AI is missing", () => {
|
||||
expect(getAIDataAnalysisUnavailableReason({ ...baseConfig, isInstanceConfigured: false })).toBe(
|
||||
"instance_not_configured"
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
describe("getAISmartToolsUnavailableReason", () => {
|
||||
const baseConfig = {
|
||||
organizationId: "org_1",
|
||||
isAISmartToolsEntitled: true,
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEntitled: true,
|
||||
isAIDataAnalysisEnabled: true,
|
||||
isInstanceConfigured: true,
|
||||
};
|
||||
|
||||
@@ -188,5 +240,15 @@ describe("AI organization service", () => {
|
||||
"instance_not_configured"
|
||||
);
|
||||
});
|
||||
|
||||
test("ignores data-analysis flags (smart tools is independent of data analysis state)", () => {
|
||||
expect(
|
||||
getAISmartToolsUnavailableReason({
|
||||
...baseConfig,
|
||||
isAIDataAnalysisEntitled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
})
|
||||
).toBeUndefined();
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
@@ -4,11 +4,12 @@ import { logger } from "@formbricks/logger";
|
||||
import { OperationNotAllowedError, ResourceNotFoundError } from "@formbricks/types/errors";
|
||||
import { env } from "@/lib/env";
|
||||
import { getOrganization } from "@/lib/organization/service";
|
||||
import { getIsAISmartToolsEnabled } from "@/modules/ee/license-check/lib/utils";
|
||||
import { getIsAIDataAnalysisEnabled, getIsAISmartToolsEnabled } from "@/modules/ee/license-check/lib/utils";
|
||||
|
||||
export const AI_ERROR_CODES = {
|
||||
FEATURES_NOT_ENABLED: "ai_features_not_enabled",
|
||||
SMART_TOOLS_DISABLED: "ai_smart_tools_disabled",
|
||||
DATA_ANALYSIS_DISABLED: "ai_data_analysis_disabled",
|
||||
INSTANCE_NOT_CONFIGURED: "ai_instance_not_configured",
|
||||
} as const;
|
||||
|
||||
@@ -17,7 +18,9 @@ export type TAIErrorCode = (typeof AI_ERROR_CODES)[keyof typeof AI_ERROR_CODES];
|
||||
export interface TOrganizationAIConfig {
|
||||
organizationId: string;
|
||||
isAISmartToolsEnabled: boolean;
|
||||
isAIDataAnalysisEnabled: boolean;
|
||||
isAISmartToolsEntitled: boolean;
|
||||
isAIDataAnalysisEntitled: boolean;
|
||||
isInstanceConfigured: boolean;
|
||||
}
|
||||
|
||||
@@ -30,18 +33,32 @@ export const getOrganizationAIConfig = async (organizationId: string): Promise<T
|
||||
throw new ResourceNotFoundError("Organization", organizationId);
|
||||
}
|
||||
|
||||
const isAISmartToolsEntitled = await getIsAISmartToolsEnabled(organizationId);
|
||||
const [isAISmartToolsEntitled, isAIDataAnalysisEntitled] = await Promise.all([
|
||||
getIsAISmartToolsEnabled(organizationId),
|
||||
getIsAIDataAnalysisEnabled(organizationId),
|
||||
]);
|
||||
|
||||
return {
|
||||
organizationId,
|
||||
isAISmartToolsEnabled: organization.isAISmartToolsEnabled,
|
||||
isAIDataAnalysisEnabled: organization.isAIDataAnalysisEnabled,
|
||||
isAISmartToolsEntitled,
|
||||
isAIDataAnalysisEntitled,
|
||||
isInstanceConfigured: isInstanceAIConfigured(),
|
||||
};
|
||||
};
|
||||
|
||||
export type TAIUnavailableReason = "not_in_plan" | "not_enabled" | "instance_not_configured";
|
||||
|
||||
export const getAIDataAnalysisUnavailableReason = (
|
||||
aiConfig: TOrganizationAIConfig
|
||||
): TAIUnavailableReason | undefined => {
|
||||
if (!aiConfig.isAIDataAnalysisEntitled) return "not_in_plan";
|
||||
if (!aiConfig.isAIDataAnalysisEnabled) return "not_enabled";
|
||||
if (!aiConfig.isInstanceConfigured) return "instance_not_configured";
|
||||
return undefined;
|
||||
};
|
||||
|
||||
export const getAISmartToolsUnavailableReason = (
|
||||
aiConfig: TOrganizationAIConfig
|
||||
): TAIUnavailableReason | undefined => {
|
||||
@@ -52,18 +69,25 @@ export const getAISmartToolsUnavailableReason = (
|
||||
};
|
||||
|
||||
export const assertOrganizationAIConfigured = async (
|
||||
organizationId: string
|
||||
organizationId: string,
|
||||
capability: "smartTools" | "dataAnalysis"
|
||||
): Promise<TOrganizationAIConfig> => {
|
||||
const aiConfig = await getOrganizationAIConfig(organizationId);
|
||||
const isCapabilityEntitled =
|
||||
capability === "smartTools" ? aiConfig.isAISmartToolsEntitled : aiConfig.isAIDataAnalysisEntitled;
|
||||
|
||||
if (!aiConfig.isAISmartToolsEntitled) {
|
||||
if (!isCapabilityEntitled) {
|
||||
throw new OperationNotAllowedError(AI_ERROR_CODES.FEATURES_NOT_ENABLED);
|
||||
}
|
||||
|
||||
if (!aiConfig.isAISmartToolsEnabled) {
|
||||
if (capability === "smartTools" && !aiConfig.isAISmartToolsEnabled) {
|
||||
throw new OperationNotAllowedError(AI_ERROR_CODES.SMART_TOOLS_DISABLED);
|
||||
}
|
||||
|
||||
if (capability === "dataAnalysis" && !aiConfig.isAIDataAnalysisEnabled) {
|
||||
throw new OperationNotAllowedError(AI_ERROR_CODES.DATA_ANALYSIS_DISABLED);
|
||||
}
|
||||
|
||||
if (!aiConfig.isInstanceConfigured) {
|
||||
throw new OperationNotAllowedError(AI_ERROR_CODES.INSTANCE_NOT_CONFIGURED);
|
||||
}
|
||||
@@ -73,13 +97,15 @@ export const assertOrganizationAIConfigured = async (
|
||||
|
||||
type TGenerateOrganizationAITextInput = {
|
||||
organizationId: string;
|
||||
capability: "smartTools" | "dataAnalysis";
|
||||
} & Parameters<typeof generateText>[0];
|
||||
|
||||
export const generateOrganizationAIText = async ({
|
||||
organizationId,
|
||||
capability,
|
||||
...options
|
||||
}: TGenerateOrganizationAITextInput): Promise<Awaited<ReturnType<typeof generateText>>> => {
|
||||
const aiConfig = await assertOrganizationAIConfigured(organizationId);
|
||||
const aiConfig = await assertOrganizationAIConfigured(organizationId, capability);
|
||||
|
||||
try {
|
||||
return await generateText(options, env);
|
||||
@@ -87,6 +113,7 @@ export const generateOrganizationAIText = async ({
|
||||
logger.error(
|
||||
{
|
||||
organizationId,
|
||||
capability,
|
||||
isInstanceConfigured: aiConfig.isInstanceConfigured,
|
||||
errorCode: error instanceof AIConfigurationError ? error.code : undefined,
|
||||
err: error,
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import "server-only";
|
||||
import { Prisma } from "@prisma/client";
|
||||
import type { PrismaClientKnownRequestError } from "@prisma/client/runtime/library";
|
||||
import { cache as reactCache } from "react";
|
||||
import { prisma } from "@formbricks/database";
|
||||
import { PrismaErrorType } from "@formbricks/database/types/error";
|
||||
@@ -212,7 +213,7 @@ export const deleteConnector = async (connectorId: string, workspaceId: string):
|
||||
|
||||
// -- Composite functions --
|
||||
|
||||
const mapUniqueConstraintError = (error: Prisma.PrismaClientKnownRequestError): InvalidInputError => {
|
||||
const mapUniqueConstraintError = (error: PrismaClientKnownRequestError): InvalidInputError => {
|
||||
const target = error.meta?.target;
|
||||
const targetFields = Array.isArray(target) ? (target as string[]) : [];
|
||||
if (targetFields.includes("elementId") || targetFields.includes("surveyId")) {
|
||||
|
||||
@@ -38,6 +38,7 @@ describe("auth", () => {
|
||||
usageCycleAnchor: new Date(),
|
||||
},
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
},
|
||||
];
|
||||
vi.mocked(getOrganizationsByUserId).mockResolvedValue(mockOrganizations);
|
||||
|
||||
@@ -46,13 +46,6 @@ vi.mock("@/modules/ee/billing/lib/organization-billing", () => ({
|
||||
cleanupStripeCustomer: vi.fn().mockResolvedValue(undefined),
|
||||
}));
|
||||
|
||||
vi.mock("@/modules/hub/service", () => ({
|
||||
deleteHubTenantData: vi.fn().mockResolvedValue({
|
||||
data: { deletedFeedbackRecords: 0, deletedEmbeddings: 0, deletedWebhooks: 0 },
|
||||
error: null,
|
||||
}),
|
||||
}));
|
||||
|
||||
describe("Organization Service", () => {
|
||||
beforeEach(() => {
|
||||
vi.mocked(ensureCloudStripeSetupForOrganization).mockResolvedValue(undefined);
|
||||
@@ -80,6 +73,7 @@ describe("Organization Service", () => {
|
||||
usageCycleAnchor: new Date(),
|
||||
},
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
whitelabel: false,
|
||||
};
|
||||
|
||||
@@ -132,6 +126,7 @@ describe("Organization Service", () => {
|
||||
usageCycleAnchor: new Date(),
|
||||
},
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
whitelabel: false,
|
||||
},
|
||||
];
|
||||
@@ -184,6 +179,7 @@ describe("Organization Service", () => {
|
||||
updatedAt: new Date(),
|
||||
billing: expectedBilling,
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
whitelabel: false,
|
||||
};
|
||||
|
||||
@@ -243,6 +239,7 @@ describe("Organization Service", () => {
|
||||
usageCycleAnchor: new Date(),
|
||||
},
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
whitelabel: false,
|
||||
memberships: [{ userId: "user1" }, { userId: "user2" }],
|
||||
workspaces: [
|
||||
@@ -284,6 +281,7 @@ describe("Organization Service", () => {
|
||||
usageCycleAnchor: expect.any(Date),
|
||||
},
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
whitelabel: false,
|
||||
});
|
||||
expect(prisma.organization.update).toHaveBeenCalledWith({
|
||||
@@ -357,7 +355,6 @@ describe("Organization Service", () => {
|
||||
billing: { stripeCustomerId: "cus_123" },
|
||||
memberships: [],
|
||||
workspaces: [],
|
||||
feedbackDirectories: [],
|
||||
} as any);
|
||||
|
||||
await deleteOrganization("org1");
|
||||
@@ -366,23 +363,5 @@ describe("Organization Service", () => {
|
||||
expect(cleanupStripeCustomer).toHaveBeenCalledWith("cus_123");
|
||||
}
|
||||
});
|
||||
|
||||
test("should purge Hub-owned data for each feedback directory", async () => {
|
||||
const { deleteHubTenantData } = await import("@/modules/hub/service");
|
||||
vi.mocked(prisma.organization.delete).mockResolvedValue({
|
||||
id: "org1",
|
||||
name: "Test Org",
|
||||
billing: null,
|
||||
memberships: [],
|
||||
workspaces: [],
|
||||
feedbackDirectories: [{ id: "frd_1" }, { id: "frd_2" }],
|
||||
} as any);
|
||||
|
||||
await deleteOrganization("org1");
|
||||
|
||||
expect(deleteHubTenantData).toHaveBeenCalledTimes(2);
|
||||
expect(deleteHubTenantData).toHaveBeenCalledWith("frd_1");
|
||||
expect(deleteHubTenantData).toHaveBeenCalledWith("frd_2");
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
@@ -19,7 +19,6 @@ import { updateUser } from "@/lib/user/service";
|
||||
import { getBillingUsageCycleWindow } from "@/lib/utils/billing";
|
||||
import { getWorkspaces } from "@/lib/workspace/service";
|
||||
import { cleanupStripeCustomer } from "@/modules/ee/billing/lib/organization-billing";
|
||||
import { deleteHubTenantData } from "@/modules/hub/service";
|
||||
import { validateInputs } from "../utils/validate";
|
||||
|
||||
export const select = {
|
||||
@@ -36,6 +35,7 @@ export const select = {
|
||||
},
|
||||
},
|
||||
isAISmartToolsEnabled: true,
|
||||
isAIDataAnalysisEnabled: true,
|
||||
whitelabel: true,
|
||||
} satisfies Prisma.OrganizationSelect;
|
||||
|
||||
@@ -74,6 +74,7 @@ const mapOrganization = (organization: TOrganizationWithBilling): TOrganization
|
||||
name: organization.name,
|
||||
billing: mapOrganizationBilling(organization.billing),
|
||||
isAISmartToolsEnabled: organization.isAISmartToolsEnabled,
|
||||
isAIDataAnalysisEnabled: organization.isAIDataAnalysisEnabled,
|
||||
whitelabel: organization.whitelabel as TOrganization["whitelabel"],
|
||||
});
|
||||
|
||||
@@ -293,11 +294,6 @@ export const deleteOrganization = async (organizationId: string) => {
|
||||
id: true,
|
||||
},
|
||||
},
|
||||
feedbackDirectories: {
|
||||
select: {
|
||||
id: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
@@ -305,13 +301,6 @@ export const deleteOrganization = async (organizationId: string) => {
|
||||
if (IS_FORMBRICKS_CLOUD && stripeCustomerId) {
|
||||
await cleanupStripeCustomer(stripeCustomerId);
|
||||
}
|
||||
|
||||
// Best-effort: purge Hub-owned data (feedback records, embeddings, webhooks) for each
|
||||
// directory tenant. Failures are logged inside the gateway and do not roll back the
|
||||
// local delete.
|
||||
for (const directory of deletedOrganization.feedbackDirectories) {
|
||||
await deleteHubTenantData(directory.id);
|
||||
}
|
||||
} catch (error) {
|
||||
if (error instanceof Prisma.PrismaClientKnownRequestError) {
|
||||
throw new DatabaseError(error.message);
|
||||
|
||||
@@ -228,6 +228,7 @@ export const mockOrganizationOutput: TOrganization = {
|
||||
createdAt: currentDate,
|
||||
updatedAt: currentDate,
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
billing: {
|
||||
stripeCustomerId: null,
|
||||
limits: {
|
||||
|
||||
@@ -67,6 +67,7 @@ describe("User Service", () => {
|
||||
usageCycleAnchor: new Date(),
|
||||
},
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
},
|
||||
{
|
||||
id: "org2",
|
||||
@@ -84,6 +85,7 @@ describe("User Service", () => {
|
||||
usageCycleAnchor: new Date(),
|
||||
},
|
||||
isAISmartToolsEnabled: false,
|
||||
isAIDataAnalysisEnabled: false,
|
||||
},
|
||||
];
|
||||
|
||||
|
||||
@@ -18,7 +18,6 @@ import {
|
||||
ValidationError,
|
||||
isExpectedError,
|
||||
} from "@formbricks/types/errors";
|
||||
import { RequestBodyTooLargeError } from "@/app/lib/api/request-body";
|
||||
|
||||
// Mock Sentry
|
||||
vi.mock("@sentry/nextjs", () => ({
|
||||
@@ -79,7 +78,6 @@ describe("isExpectedError (shared helper)", () => {
|
||||
"TooManyRequestsError",
|
||||
"InvalidPasswordResetTokenError",
|
||||
"UniqueConstraintError",
|
||||
"RequestBodyTooLargeError",
|
||||
];
|
||||
|
||||
expect(EXPECTED_ERROR_NAMES.size).toBe(expected.length);
|
||||
@@ -99,7 +97,6 @@ describe("isExpectedError (shared helper)", () => {
|
||||
{ ErrorClass: QueryExecutionError, args: ["Cube query failed. Details: connect ECONNREFUSED"] },
|
||||
{ ErrorClass: InvalidPasswordResetTokenError, args: [INVALID_PASSWORD_RESET_TOKEN_ERROR_CODE] },
|
||||
{ ErrorClass: UniqueConstraintError, args: ["Already exists"] },
|
||||
{ ErrorClass: RequestBodyTooLargeError, args: [2 * 1024 * 1024] },
|
||||
])("returns true for $ErrorClass.name", ({ ErrorClass, args }) => {
|
||||
const error = new (ErrorClass as any)(...args);
|
||||
expect(isExpectedError(error)).toBe(true);
|
||||
|
||||
@@ -38,6 +38,50 @@ describe("convertToCsv", () => {
|
||||
|
||||
parseSpy.mockRestore();
|
||||
});
|
||||
|
||||
test("should defang formula injection payloads in cell values", async () => {
|
||||
const payloads = [
|
||||
'=HYPERLINK("https://evil.tld","Click")',
|
||||
"+1+1",
|
||||
"-2+3",
|
||||
"@SUM(A1:A2)",
|
||||
"\tleading-tab",
|
||||
"\rleading-cr",
|
||||
];
|
||||
const rows = payloads.map((p) => ({ name: p, age: 0 }));
|
||||
const csv = await convertToCsv(["name", "age"], rows);
|
||||
const lines = csv.trim().split("\n").slice(1); // drop header
|
||||
payloads.forEach((p, i) => {
|
||||
// each value should be prefixed with a single quote so the spreadsheet
|
||||
// app treats it as text rather than a formula
|
||||
expect(lines[i].startsWith(`"'${p.charAt(0)}`)).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
test("should defang formula injection in field/header names", async () => {
|
||||
const csv = await convertToCsv(["=evil", "age"], [{ "=evil": "x", age: 1 }]);
|
||||
const lines = csv.trim().split("\n");
|
||||
expect(lines[0]).toBe('"\'=evil","age"');
|
||||
expect(lines[1]).toBe('"x",1');
|
||||
});
|
||||
|
||||
test("should not alter benign strings", async () => {
|
||||
const csv = await convertToCsv(["name"], [{ name: "Alice = Bob" }]);
|
||||
const lines = csv.trim().split("\n");
|
||||
expect(lines[1]).toBe('"Alice = Bob"');
|
||||
});
|
||||
|
||||
test("should preserve distinct columns whose labels collide after sanitization", async () => {
|
||||
// "=field" and "'=field" both render as "'=field" once defanged, but the
|
||||
// underlying row keys must stay distinct so neither cell is dropped.
|
||||
const csv = await convertToCsv(
|
||||
["=field", "'=field"],
|
||||
[{ "=field": "a", "'=field": "b" }]
|
||||
);
|
||||
const lines = csv.trim().split("\n");
|
||||
expect(lines[0]).toBe('"\'=field","\'=field"');
|
||||
expect(lines[1]).toBe('"a","b"');
|
||||
});
|
||||
});
|
||||
|
||||
describe("convertToXlsxBuffer", () => {
|
||||
@@ -60,4 +104,54 @@ describe("convertToXlsxBuffer", () => {
|
||||
const cleaned = raw.map(({ __rowNum__, ...rest }) => rest);
|
||||
expect(cleaned).toEqual(data);
|
||||
});
|
||||
|
||||
test("should defang formula injection payloads in xlsx cells", () => {
|
||||
const payloads = [
|
||||
'=HYPERLINK("https://evil.tld","Click")',
|
||||
"+1+1",
|
||||
"-2+3",
|
||||
"@SUM(A1:A2)",
|
||||
"\tleading-tab",
|
||||
"\rleading-cr",
|
||||
];
|
||||
const rows = payloads.map((p) => ({ name: p }));
|
||||
const buffer = convertToXlsxBuffer(["name"], rows);
|
||||
const wb = xlsx.read(buffer, { type: "buffer" });
|
||||
const sheet = wb.Sheets["Sheet1"];
|
||||
payloads.forEach((p, i) => {
|
||||
const cell = sheet[`A${i + 2}`]; // row 1 is header
|
||||
// value stored as plain text, not as a formula (no `f` property)
|
||||
expect(cell.f).toBeUndefined();
|
||||
expect(cell.v).toBe(`'${p}`);
|
||||
});
|
||||
});
|
||||
|
||||
test("should defang formula injection in xlsx header names", () => {
|
||||
const buffer = convertToXlsxBuffer(["=evil", "name"], [{ "=evil": "x", name: "Alice" }]);
|
||||
const wb = xlsx.read(buffer, { type: "buffer" });
|
||||
const sheet = wb.Sheets["Sheet1"];
|
||||
const headerCell = sheet["A1"];
|
||||
expect(headerCell.f).toBeUndefined();
|
||||
expect(headerCell.v).toBe("'=evil");
|
||||
// benign header untouched
|
||||
expect(sheet["B1"].v).toBe("name");
|
||||
// data row mapped via original key
|
||||
expect(sheet["A2"].v).toBe("x");
|
||||
expect(sheet["B2"].v).toBe("Alice");
|
||||
});
|
||||
|
||||
test("should preserve distinct xlsx columns whose labels collide after sanitization", () => {
|
||||
// Original keys "=field" and "'=field" both render as "'=field"; ensure
|
||||
// both cells survive instead of one overwriting the other.
|
||||
const buffer = convertToXlsxBuffer(
|
||||
["=field", "'=field"],
|
||||
[{ "=field": "a", "'=field": "b" }]
|
||||
);
|
||||
const wb = xlsx.read(buffer, { type: "buffer" });
|
||||
const sheet = wb.Sheets["Sheet1"];
|
||||
expect(sheet["A1"].v).toBe("'=field");
|
||||
expect(sheet["B1"].v).toBe("'=field");
|
||||
expect(sheet["A2"].v).toBe("a");
|
||||
expect(sheet["B2"].v).toBe("b");
|
||||
});
|
||||
});
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Nur Kleinbuchstaben, Zahlen und Unterstriche. Muss mit einem Buchstaben beginnen.",
|
||||
"attribute_key_placeholder": "z. B. geburtsdatum",
|
||||
"attribute_key_required": "Schlüssel ist erforderlich",
|
||||
"attribute_key_reserved_future_default": "Der Schlüssel ist für zukünftige Standardattribute reserviert ({reservedKeys}). Bitte wähle einen anderen Schlüssel.",
|
||||
"attribute_key_safe_identifier_required": "Schlüssel muss ein sicherer Identifikator sein: nur Kleinbuchstaben, Zahlen und Unterstriche, und muss mit einem Buchstaben beginnen",
|
||||
"attribute_label": "Bezeichnung",
|
||||
"attribute_label_placeholder": "z. B. Geburtsdatum",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Persönlichen Link erstellen",
|
||||
"generate_personal_link_description": "Wähle eine veröffentlichte Umfrage aus, um einen personalisierten Link für diesen Kontakt zu erstellen.",
|
||||
"invalid_csv_column_names": "Ungültige CSV-Spaltennamen: {columns}. Spaltennamen, die zu neuen Attributen werden, dürfen nur Kleinbuchstaben, Zahlen und Unterstriche enthalten und müssen mit einem Buchstaben beginnen.",
|
||||
"invalid_csv_reserved_column_names": "Reservierte CSV-Spaltennamen: {columns}. Diese Namen sind für zukünftige Standardattribute ({reservedKeys}) reserviert und können nicht als neue Attribute erstellt werden.",
|
||||
"invalid_date_format": "Ungültiges Datumsformat. Bitte verwende ein gültiges Datum.",
|
||||
"invalid_number_format": "Ungültiges Zahlenformat. Bitte gib eine gültige Zahl ein.",
|
||||
"no_activity_yet": "Noch keine Aktivität",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Workspaces, denen Zugriff gewährt wird"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Datenanreicherung & -analyse (KI)",
|
||||
"ai_data_analysis_enabled_description": "KI nutzen, um mehr aus deinen Daten herauszuholen – richte Dashboards, Diagramme, Berichte und mehr ein. Greift auf deine Erfahrungsdaten zu.",
|
||||
"ai_enabled": "Formbricks KI",
|
||||
"ai_enabled_description": "Verwalte KI-gestützte Funktionen für diese Organisation.",
|
||||
"ai_instance_not_configured": "KI wird auf Instanzebene über Umgebungsvariablen konfiguriert. Bitte deine:n Administrator:in, AI_PROVIDER, AI_MODEL und die passenden Provider-Zugangsdaten zu setzen, bevor du KI-Funktionen aktivierst.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "„Umfrage geschlossen“-Nachricht anpassen",
|
||||
"adjust_survey_closed_message_description": "Ändere die Nachricht, die Besucher sehen, wenn die Umfrage geschlossen ist.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Passe das Theme in den <lookFeelLink>Look & Feel</lookFeelLink> Einstellungen an.",
|
||||
"ai_data_analysis_disabled": "KI-Datenanalyse ist für diese Organisation deaktiviert.",
|
||||
"ai_features_not_enabled": "KI-Funktionen sind für diese Organisation nicht aktiviert.",
|
||||
"ai_instance_not_configured": "KI ist nicht konfiguriert. Kontaktiere deinen Administrator.",
|
||||
"ai_smart_tools_disabled": "KI-Smart-Tools sind für diese Organisation deaktiviert.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Only lowercase letters, numbers, and underscores. Must start with a letter.",
|
||||
"attribute_key_placeholder": "e.g. date_of_birth",
|
||||
"attribute_key_required": "Key is required",
|
||||
"attribute_key_reserved_future_default": "Key is reserved for future default attributes ({reservedKeys}). Please choose a different key.",
|
||||
"attribute_key_safe_identifier_required": "Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
|
||||
"attribute_label": "Label",
|
||||
"attribute_label_placeholder": "e.g. Date of Birth",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Generate Personal Link",
|
||||
"generate_personal_link_description": "Select a published survey to generate a personalized link for this contact.",
|
||||
"invalid_csv_column_names": "Invalid CSV column name(s): {columns}. Column names that will become new attributes must only contain lowercase letters, numbers, and underscores, and must start with a letter.",
|
||||
"invalid_csv_reserved_column_names": "Reserved CSV column name(s): {columns}. These names are reserved for future default attributes ({reservedKeys}) and cannot be created as new attributes.",
|
||||
"invalid_date_format": "Invalid date format. Please use a valid date.",
|
||||
"invalid_number_format": "Invalid number format. Please enter a valid number.",
|
||||
"no_activity_yet": "No activity yet",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Workspaces being granted access"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Data enrichment & analysis (AI)",
|
||||
"ai_data_analysis_enabled_description": "AI to get more out of your data, setup dashboards, charts, reports and more. Touches your experience data.",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "Manage AI-powered features for this organization.",
|
||||
"ai_instance_not_configured": "AI is configured at the instance level via environment variables. Ask your administrator to set AI_PROVIDER, AI_MODEL, and the matching provider credentials before enabling AI features.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "Adjust “Survey Closed” message",
|
||||
"adjust_survey_closed_message_description": "Change the message visitors see when the survey is closed.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Adjust the theme in the <lookFeelLink>Look & Feel</lookFeelLink> Settings.",
|
||||
"ai_data_analysis_disabled": "AI data analysis is disabled for this organization.",
|
||||
"ai_features_not_enabled": "AI features are not enabled for this organization.",
|
||||
"ai_instance_not_configured": "AI is not configured. Contact your administrator.",
|
||||
"ai_smart_tools_disabled": "AI smart tools are disabled for this organization.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Solo letras minúsculas, números y guiones bajos. Debe empezar con una letra.",
|
||||
"attribute_key_placeholder": "p. ej. fecha_de_nacimiento",
|
||||
"attribute_key_required": "La clave es obligatoria",
|
||||
"attribute_key_reserved_future_default": "La clave está reservada para atributos predeterminados futuros ({reservedKeys}). Por favor, elige una clave diferente.",
|
||||
"attribute_key_safe_identifier_required": "La clave debe ser un identificador seguro: solo letras minúsculas, números y guiones bajos, y debe empezar con una letra",
|
||||
"attribute_label": "Etiqueta",
|
||||
"attribute_label_placeholder": "p. ej. fecha de nacimiento",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Generar enlace personal",
|
||||
"generate_personal_link_description": "Selecciona una encuesta publicada para generar un enlace personalizado para este contacto.",
|
||||
"invalid_csv_column_names": "Nombre(s) de columna CSV no válido(s): {columns}. Los nombres de columna que se convertirán en nuevos atributos solo deben contener letras minúsculas, números y guiones bajos, y deben comenzar con una letra.",
|
||||
"invalid_csv_reserved_column_names": "Nombre(s) de columna CSV reservado(s): {columns}. Estos nombres están reservados para atributos predeterminados futuros ({reservedKeys}) y no se pueden crear como nuevos atributos.",
|
||||
"invalid_date_format": "Formato de fecha no válido. Por favor, usa una fecha válida.",
|
||||
"invalid_number_format": "Formato de número no válido. Por favor, introduce un número válido.",
|
||||
"no_activity_yet": "Aún no hay actividad",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Espacios de trabajo a los que se concede acceso"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Enriquecimiento y análisis de datos (IA)",
|
||||
"ai_data_analysis_enabled_description": "IA para sacar más partido a tus datos, configurar paneles, gráficos, informes y más. Accede a los datos de experiencia.",
|
||||
"ai_enabled": "IA de Formbricks",
|
||||
"ai_enabled_description": "Gestiona las funciones impulsadas por IA para esta organización.",
|
||||
"ai_instance_not_configured": "La IA se configura a nivel de instancia mediante variables de entorno. Pide a tu administrador que configure AI_PROVIDER, las credenciales de ese proveedor y la lista de modelos correspondiente antes de habilitar las funciones de IA.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "Ajustar mensaje 'Encuesta cerrada'",
|
||||
"adjust_survey_closed_message_description": "Cambiar el mensaje que ven los visitantes cuando la encuesta está cerrada.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Ajusta el tema en la configuración de <lookFeelLink>Aspecto</lookFeelLink>.",
|
||||
"ai_data_analysis_disabled": "El análisis de datos con IA está deshabilitado para esta organización.",
|
||||
"ai_features_not_enabled": "Las funciones de IA no están habilitadas para esta organización.",
|
||||
"ai_instance_not_configured": "La IA no está configurada. Contacta con tu administrador.",
|
||||
"ai_smart_tools_disabled": "Las herramientas inteligentes de IA están deshabilitadas para esta organización.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Uniquement des lettres minuscules, des chiffres et des underscores. Doit commencer par une lettre.",
|
||||
"attribute_key_placeholder": "ex. date_de_naissance",
|
||||
"attribute_key_required": "La clé est requise",
|
||||
"attribute_key_reserved_future_default": "La clé est réservée pour les attributs par défaut futurs ({reservedKeys}). Veuillez choisir une clé différente.",
|
||||
"attribute_key_safe_identifier_required": "La clé doit être un identifiant sûr : uniquement des lettres minuscules, des chiffres et des underscores, et doit commencer par une lettre",
|
||||
"attribute_label": "Étiquette",
|
||||
"attribute_label_placeholder": "ex. Date de naissance",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Générer un lien personnel",
|
||||
"generate_personal_link_description": "Sélectionnez une enquête publiée pour générer un lien personnalisé pour ce contact.",
|
||||
"invalid_csv_column_names": "Nom(s) de colonne CSV invalide(s) : {columns}. Les noms de colonnes qui deviendront de nouveaux attributs ne doivent contenir que des lettres minuscules, des chiffres et des underscores, et doivent commencer par une lettre.",
|
||||
"invalid_csv_reserved_column_names": "Nom(s) de colonne CSV réservé(s) : {columns}. Ces noms sont réservés pour les attributs par défaut futurs ({reservedKeys}) et ne peuvent pas être créés en tant que nouveaux attributs.",
|
||||
"invalid_date_format": "Format de date invalide. Merci d'utiliser une date valide.",
|
||||
"invalid_number_format": "Format de nombre invalide. Veuillez saisir un nombre valide.",
|
||||
"no_activity_yet": "Aucune activité pour le moment",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Espaces de travail en cours d'ajout"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Enrichissement et analyse des données (IA)",
|
||||
"ai_data_analysis_enabled_description": "L'IA pour tirer le meilleur parti de vos données, configurer des tableaux de bord, des graphiques, des rapports et plus encore. Accède à vos données d'expérience.",
|
||||
"ai_enabled": "IA Formbricks",
|
||||
"ai_enabled_description": "Gérer les fonctionnalités alimentées par l'IA pour cette organisation.",
|
||||
"ai_instance_not_configured": "L'IA est configurée au niveau de l'instance via des variables d'environnement. Demandez à votre administrateur de définir AI_PROVIDER, les identifiants du fournisseur et la liste de modèles correspondante avant d'activer les fonctionnalités d'IA.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "Ajuster le message \"Sondage fermé\"",
|
||||
"adjust_survey_closed_message_description": "Modifiez le message que les visiteurs voient lorsque l'enquête est fermée.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Ajuste le thème dans les paramètres <lookFeelLink>Apparence et ressenti</lookFeelLink>.",
|
||||
"ai_data_analysis_disabled": "L'analyse de données par IA est désactivée pour cette organisation.",
|
||||
"ai_features_not_enabled": "Les fonctionnalités IA ne sont pas activées pour cette organisation.",
|
||||
"ai_instance_not_configured": "L'IA n'est pas configurée. Contacte ton administrateur.",
|
||||
"ai_smart_tools_disabled": "Les outils intelligents IA sont désactivés pour cette organisation.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Csak ékezet nélküli kisbetűk, számok és aláhúzásjelek használhatók. Betűvel kell kezdődnie.",
|
||||
"attribute_key_placeholder": "például: szuletesi_ido",
|
||||
"attribute_key_required": "A kulcs kötelező",
|
||||
"attribute_key_reserved_future_default": "A kulcs le van foglalva jövőbeli alapértelmezett attribútumok számára ({reservedKeys}). Kérem, válasszon egy másik kulcsot.",
|
||||
"attribute_key_safe_identifier_required": "A kulcs csak biztonságos azonosító lehet: csak ékezet nélküli kisbetűk, számok és aláhúzásjelek használhatók, és betűvel kell kezdődnie",
|
||||
"attribute_label": "Címke",
|
||||
"attribute_label_placeholder": "például: Születési idő",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Személyes hivatkozás előállítása",
|
||||
"generate_personal_link_description": "Válasszon egy közzétett kérdőívet, hogy személyre szabott hivatkozást állítson elő ehhez a partnerhez.",
|
||||
"invalid_csv_column_names": "Érvénytelen CSV-oszlopnevek: {columns}. Az új attribútumokká váló oszlopnevek csak ékezet nélküli kisbetűket, számokat és aláhúzásjeleket tartalmazhatnak, valamint betűvel kell kezdődniük.",
|
||||
"invalid_csv_reserved_column_names": "Fenntartott CSV oszlopnév/nevek: {columns}. Ezek a nevek le vannak foglalva jövőbeli alapértelmezett attribútumok számára ({reservedKeys}), és nem hozhatók létre új attribútumokként.",
|
||||
"invalid_date_format": "Érvénytelen dátumformátum. Használjon érvényes dátumot.",
|
||||
"invalid_number_format": "Érvénytelen számformátum. Adjon meg érvényes számot.",
|
||||
"no_activity_yet": "Még nincs tevékenység",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Hozzáférést kapó munkaterületek"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Adatgazdagítás és elemzés (AI)",
|
||||
"ai_data_analysis_enabled_description": "AI segítségével többet hozhat ki az adataiból, irányítópultokat, diagramokat, jelentéseket és egyebeket állíthat be. Hozzáfér az élményekhez kapcsolódó adatokhoz.",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "AI-alapú funkciók kezelése ehhez a szervezethez.",
|
||||
"ai_instance_not_configured": "Az MI példányszinten, környezeti változókkal van konfigurálva. Kérd meg a rendszergazdát, hogy állítsa be az AI_PROVIDER értékét, a szolgáltató hitelesítő adatait és a megfelelő modelllistát, mielőtt engedélyezné az MI-funkciókat.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "A „Kérdőív lezárva” üzenet módosítása",
|
||||
"adjust_survey_closed_message_description": "Annak az üzenetnek a megváltoztatása, amelyet a látogatók akkor látnak, amikor a kérdőív lezárul.",
|
||||
"adjust_theme_in_look_and_feel_settings": "A témát a <lookFeelLink>Megjelenés és Élmény</lookFeelLink> beállításokban módosíthatja.",
|
||||
"ai_data_analysis_disabled": "Az AI adatelemzés le van tiltva ezen szervezet számára.",
|
||||
"ai_features_not_enabled": "Az AI funkciók nincsenek engedélyezve ezen szervezet számára.",
|
||||
"ai_instance_not_configured": "Az AI nincs konfigurálva. Kérjük, forduljon a rendszergazdájához.",
|
||||
"ai_smart_tools_disabled": "Az AI intelligens eszközök le vannak tiltva ezen szervezet számára.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "小文字のアルファベット、数字、アンダースコアのみ使用可能です。アルファベットで始める必要があります。",
|
||||
"attribute_key_placeholder": "例: date_of_birth",
|
||||
"attribute_key_required": "キーは必須です",
|
||||
"attribute_key_reserved_future_default": "このキーは将来のデフォルト属性用に予約されています({reservedKeys})。別のキーを選択してください。",
|
||||
"attribute_key_safe_identifier_required": "キーは安全な識別子である必要があります: 小文字のアルファベット、数字、アンダースコアのみ使用可能で、アルファベットで始める必要があります",
|
||||
"attribute_label": "ラベル",
|
||||
"attribute_label_placeholder": "例: 生年月日",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "個人リンクを生成",
|
||||
"generate_personal_link_description": "公開されたフォームを選択して、この連絡先用のパーソナライズされたリンクを生成します。",
|
||||
"invalid_csv_column_names": "無効なCSV列名: {columns}。新しい属性となる列名は、小文字、数字、アンダースコアのみを含み、文字で始まる必要があります。",
|
||||
"invalid_csv_reserved_column_names": "予約されたCSV列名: {columns}。これらの名前は将来のデフォルト属性({reservedKeys})用に予約されており、新しい属性として作成できません。",
|
||||
"invalid_date_format": "無効な日付形式です。有効な日付を使用してください。",
|
||||
"invalid_number_format": "無効な数値形式です。有効な数値を入力してください。",
|
||||
"no_activity_yet": "まだアクティビティがありません",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "アクセス権が付与されるワークスペース"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "データエンリッチメントと分析(AI)",
|
||||
"ai_data_analysis_enabled_description": "AIを活用してデータから最大限の価値を引き出し、ダッシュボード、チャート、レポートなどを設定できます。エクスペリエンスデータに触れます。",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "この組織のAI機能を管理します。",
|
||||
"ai_instance_not_configured": "AI は環境変数を使ってインスタンスレベルで設定されます。AI 機能を有効にする前に、管理者に AI_PROVIDER、このプロバイダーの認証情報、および対応するモデル一覧を設定してもらってください。",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "「フォームはクローズしました」メッセージを調整",
|
||||
"adjust_survey_closed_message_description": "フォームがクローズしたときに訪問者が見るメッセージを変更します。",
|
||||
"adjust_theme_in_look_and_feel_settings": "テーマは<lookFeelLink>外観</lookFeelLink>設定で調整できます。",
|
||||
"ai_data_analysis_disabled": "この組織ではAIデータ分析が無効になっています。",
|
||||
"ai_features_not_enabled": "この組織ではAI機能が有効になっていません。",
|
||||
"ai_instance_not_configured": "AIが設定されていません。管理者にお問い合わせください。",
|
||||
"ai_smart_tools_disabled": "この組織ではAIスマートツールが無効になっています。",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Alleen kleine letters, cijfers en onderstrepingstekens. Moet beginnen met een letter.",
|
||||
"attribute_key_placeholder": "bijv. geboortedatum",
|
||||
"attribute_key_required": "Sleutel is verplicht",
|
||||
"attribute_key_reserved_future_default": "Sleutel is gereserveerd voor toekomstige standaardattributen ({reservedKeys}). Kies een andere sleutel.",
|
||||
"attribute_key_safe_identifier_required": "Sleutel moet een veilige identifier zijn: alleen kleine letters, cijfers en onderstrepingstekens, en moet beginnen met een letter",
|
||||
"attribute_label": "Label",
|
||||
"attribute_label_placeholder": "bijv. Geboortedatum",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Persoonlijke link genereren",
|
||||
"generate_personal_link_description": "Selecteer een gepubliceerde enquête om een gepersonaliseerde link voor dit contact te genereren.",
|
||||
"invalid_csv_column_names": "Ongeldige CSV-kolomna(a)m(en): {columns}. Kolomnamen die nieuwe kenmerken worden, mogen alleen kleine letters, cijfers en underscores bevatten en moeten beginnen met een letter.",
|
||||
"invalid_csv_reserved_column_names": "Gereserveerde CSV-kolomnaam/namen: {columns}. Deze namen zijn gereserveerd voor toekomstige standaardattributen ({reservedKeys}) en kunnen niet als nieuwe attributen worden aangemaakt.",
|
||||
"invalid_date_format": "Ongeldig datumformaat. Gebruik een geldige datum.",
|
||||
"invalid_number_format": "Ongeldig getalformaat. Voer een geldig getal in.",
|
||||
"no_activity_yet": "Nog geen activiteit",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Werkruimtes die toegang krijgen"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Dataverrijking & analyse (AI)",
|
||||
"ai_data_analysis_enabled_description": "AI om meer uit je data te halen, dashboards op te zetten, grafieken, rapporten en meer. Raakt je ervaringsdata aan.",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "Beheer AI-functies voor deze organisatie.",
|
||||
"ai_instance_not_configured": "AI wordt op instantieniveau geconfigureerd via omgevingsvariabelen. Vraag je beheerder om AI_PROVIDER, de inloggegevens voor die provider en de bijbehorende modellenlijst in te stellen voordat AI-functies worden ingeschakeld.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "Pas het bericht 'Enquête gesloten' aan",
|
||||
"adjust_survey_closed_message_description": "Wijzig het bericht dat bezoekers zien wanneer de enquête wordt gesloten.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Pas het thema aan in de <lookFeelLink>Look & Feel</lookFeelLink> instellingen.",
|
||||
"ai_data_analysis_disabled": "AI-gegevensanalyse is uitgeschakeld voor deze organisatie.",
|
||||
"ai_features_not_enabled": "AI-functies zijn niet ingeschakeld voor deze organisatie.",
|
||||
"ai_instance_not_configured": "AI is niet geconfigureerd. Neem contact op met je beheerder.",
|
||||
"ai_smart_tools_disabled": "AI slimme tools zijn uitgeschakeld voor deze organisatie.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Apenas letras minúsculas, números e underscores. Deve começar com uma letra.",
|
||||
"attribute_key_placeholder": "ex: data_de_nascimento",
|
||||
"attribute_key_required": "A chave é obrigatória",
|
||||
"attribute_key_reserved_future_default": "A chave está reservada para atributos padrão futuros ({reservedKeys}). Por favor, escolha uma chave diferente.",
|
||||
"attribute_key_safe_identifier_required": "A chave deve ser um identificador seguro: apenas letras minúsculas, números e underscores, e deve começar com uma letra",
|
||||
"attribute_label": "Etiqueta",
|
||||
"attribute_label_placeholder": "ex: Data de nascimento",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Gerar link pessoal",
|
||||
"generate_personal_link_description": "Selecione uma pesquisa publicada para gerar um link personalizado para este contato.",
|
||||
"invalid_csv_column_names": "Nome(s) de coluna CSV inválido(s): {columns}. Os nomes de colunas que se tornarão novos atributos devem conter apenas letras minúsculas, números e sublinhados, e devem começar com uma letra.",
|
||||
"invalid_csv_reserved_column_names": "Nome(s) de coluna CSV reservado(s): {columns}. Esses nomes estão reservados para atributos padrão futuros ({reservedKeys}) e não podem ser criados como novos atributos.",
|
||||
"invalid_date_format": "Formato de data inválido. Por favor, use uma data válida.",
|
||||
"invalid_number_format": "Formato de número inválido. Por favor, insira um número válido.",
|
||||
"no_activity_yet": "Nenhuma atividade ainda",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Workspaces recebendo acesso"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Enriquecimento e análise de dados (IA)",
|
||||
"ai_data_analysis_enabled_description": "IA para extrair mais dos seus dados, configurar dashboards, gráficos, relatórios e muito mais. Acessa os dados da sua experiência.",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "Gerencie recursos com IA para esta organização.",
|
||||
"ai_instance_not_configured": "A IA é configurada no nível da instância por meio de variáveis de ambiente. Peça ao seu administrador para definir AI_PROVIDER, as credenciais desse provedor e a lista de modelos correspondente antes de habilitar os recursos de IA.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "Ajustar mensagem 'Pesquisa Encerrada''",
|
||||
"adjust_survey_closed_message_description": "Mude a mensagem que os visitantes veem quando a pesquisa está fechada.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Ajuste o tema nas configurações de <lookFeelLink>Aparência</lookFeelLink>.",
|
||||
"ai_data_analysis_disabled": "A análise de dados por IA está desabilitada para esta organização.",
|
||||
"ai_features_not_enabled": "Os recursos de IA não estão habilitados para esta organização.",
|
||||
"ai_instance_not_configured": "A IA não está configurada. Entre em contato com seu administrador.",
|
||||
"ai_smart_tools_disabled": "As ferramentas inteligentes de IA estão desabilitadas para esta organização.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Apenas letras minúsculas, números e sublinhados. Deve começar com uma letra.",
|
||||
"attribute_key_placeholder": "ex. data_de_nascimento",
|
||||
"attribute_key_required": "A chave é obrigatória",
|
||||
"attribute_key_reserved_future_default": "A chave está reservada para atributos padrão futuros ({reservedKeys}). Por favor, escolhe uma chave diferente.",
|
||||
"attribute_key_safe_identifier_required": "A chave deve ser um identificador seguro: apenas letras minúsculas, números e sublinhados, e deve começar com uma letra",
|
||||
"attribute_label": "Etiqueta",
|
||||
"attribute_label_placeholder": "ex. Data de nascimento",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Gerar Link Pessoal",
|
||||
"generate_personal_link_description": "Selecione um inquérito publicado para gerar um link personalizado para este contacto.",
|
||||
"invalid_csv_column_names": "Nome(s) de coluna CSV inválido(s): {columns}. Os nomes de colunas que se tornarão novos atributos devem conter apenas letras minúsculas, números e underscores, e devem começar com uma letra.",
|
||||
"invalid_csv_reserved_column_names": "Nome(s) de coluna CSV reservado(s): {columns}. Estes nomes estão reservados para atributos padrão futuros ({reservedKeys}) e não podem ser criados como novos atributos.",
|
||||
"invalid_date_format": "Formato de data inválido. Por favor, usa uma data válida.",
|
||||
"invalid_number_format": "Formato de número inválido. Por favor, introduz um número válido.",
|
||||
"no_activity_yet": "Ainda sem atividade",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Workspaces a receber acesso"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Enriquecimento e análise de dados (IA)",
|
||||
"ai_data_analysis_enabled_description": "IA para tirar mais partido dos teus dados, configurar dashboards, gráficos, relatórios e muito mais. Acede aos dados da tua experiência.",
|
||||
"ai_enabled": "IA da Formbricks",
|
||||
"ai_enabled_description": "Gerir funcionalidades com IA para esta organização.",
|
||||
"ai_instance_not_configured": "A IA é configurada ao nível da instância através de variáveis de ambiente. Peça ao seu administrador para definir AI_PROVIDER, as credenciais desse fornecedor e a lista de modelos correspondente antes de ativar as funcionalidades de IA.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "Ajustar mensagem de 'Inquérito Fechado'",
|
||||
"adjust_survey_closed_message_description": "Alterar a mensagem que os visitantes veem quando o inquérito está fechado.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Ajusta o tema nas definições de <lookFeelLink>Aparência</lookFeelLink>.",
|
||||
"ai_data_analysis_disabled": "A análise de dados por IA está desativada para esta organização.",
|
||||
"ai_features_not_enabled": "As funcionalidades de IA não estão ativadas para esta organização.",
|
||||
"ai_instance_not_configured": "A IA não está configurada. Contacta o teu administrador.",
|
||||
"ai_smart_tools_disabled": "As ferramentas inteligentes de IA estão desativadas para esta organização.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Doar litere mici, cifre și caractere de subliniere. Trebuie să înceapă cu o literă.",
|
||||
"attribute_key_placeholder": "ex: date_of_birth",
|
||||
"attribute_key_required": "Cheia este obligatorie",
|
||||
"attribute_key_reserved_future_default": "Cheia este rezervată pentru atribute implicite viitoare ({reservedKeys}). Te rugăm să alegi o cheie diferită.",
|
||||
"attribute_key_safe_identifier_required": "Cheia trebuie să fie un identificator sigur: doar litere mici, cifre și caractere de subliniere, și trebuie să înceapă cu o literă",
|
||||
"attribute_label": "Etichetă",
|
||||
"attribute_label_placeholder": "ex: Data nașterii",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Generează link personal",
|
||||
"generate_personal_link_description": "Selectați un sondaj publicat pentru a genera un link personalizat pentru acest contact.",
|
||||
"invalid_csv_column_names": "Nume de coloană CSV nevalide: {columns}. Numele coloanelor care vor deveni atribute noi trebuie să conțină doar litere mici, cifre și caractere de subliniere și trebuie să înceapă cu o literă.",
|
||||
"invalid_csv_reserved_column_names": "Nume de coloană CSV rezervate: {columns}. Aceste nume sunt rezervate pentru atribute implicite viitoare ({reservedKeys}) și nu pot fi create ca atribute noi.",
|
||||
"invalid_date_format": "Format de dată invalid. Te rugăm să folosești o dată validă.",
|
||||
"invalid_number_format": "Format de număr invalid. Te rugăm să introduci un număr valid.",
|
||||
"no_activity_yet": "Nicio activitate încă",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Spații de lucru cărora li se acordă acces"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Îmbogățire și analiză de date (AI)",
|
||||
"ai_data_analysis_enabled_description": "AI pentru a obține mai mult din datele tale, configurare dashboard-uri, grafice, rapoarte și multe altele. Accesează datele tale de experiență.",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "Gestionează funcționalitățile bazate pe AI pentru această organizație.",
|
||||
"ai_instance_not_configured": "AI este configurată la nivel de instanță prin variabile de mediu. Cere administratorului să configureze AI_PROVIDER, credențialele acelui furnizor și lista de modele corespunzătoare înainte de a activa funcționalitățile AI.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "Ajustați mesajul 'Sondaj Închis'",
|
||||
"adjust_survey_closed_message_description": "Schimbați mesajul pe care îl văd vizitatorii atunci când sondajul este închis.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Ajustează tema în setările <lookFeelLink>Aspect și Experiență</lookFeelLink>.",
|
||||
"ai_data_analysis_disabled": "Analiza de date AI este dezactivată pentru această organizație.",
|
||||
"ai_features_not_enabled": "Funcțiile AI nu sunt activate pentru această organizație.",
|
||||
"ai_instance_not_configured": "AI nu este configurat. Contactează administratorul.",
|
||||
"ai_smart_tools_disabled": "Instrumentele inteligente AI sunt dezactivate pentru această organizație.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Только строчные буквы, цифры и символы подчёркивания. Должен начинаться с буквы.",
|
||||
"attribute_key_placeholder": "например, date_of_birth",
|
||||
"attribute_key_required": "Ключ обязателен",
|
||||
"attribute_key_reserved_future_default": "Ключ зарезервирован для будущих атрибутов по умолчанию ({reservedKeys}). Пожалуйста, выбери другой ключ.",
|
||||
"attribute_key_safe_identifier_required": "Ключ должен быть безопасным идентификатором: только строчные буквы, цифры и символы подчёркивания, и должен начинаться с буквы",
|
||||
"attribute_label": "Метка",
|
||||
"attribute_label_placeholder": "например, дата рождения",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Сгенерировать персональную ссылку",
|
||||
"generate_personal_link_description": "Выберите опубликованный опрос, чтобы сгенерировать персональную ссылку для этого контакта.",
|
||||
"invalid_csv_column_names": "Недопустимые имена столбцов в CSV: {columns}. Имена столбцов, которые станут новыми атрибутами, должны содержать только строчные буквы, цифры и подчёркивания, а также начинаться с буквы.",
|
||||
"invalid_csv_reserved_column_names": "Зарезервированные названия столбцов CSV: {columns}. Эти названия зарезервированы для будущих атрибутов по умолчанию ({reservedKeys}) и не могут быть созданы как новые атрибуты.",
|
||||
"invalid_date_format": "Неверный формат даты. Пожалуйста, используйте корректную дату.",
|
||||
"invalid_number_format": "Неверный формат числа. Пожалуйста, введите корректное число.",
|
||||
"no_activity_yet": "Пока нет активности",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Рабочие пространства, которым предоставляется доступ"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Обогащение и анализ данных (ИИ)",
|
||||
"ai_data_analysis_enabled_description": "ИИ для получения большего от твоих данных: настройка дашбордов, графиков, отчетов и не только. Работает с твоими данными об опыте.",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "Управляй функциями на базе ИИ для этой организации.",
|
||||
"ai_instance_not_configured": "ИИ настраивается на уровне инстанса через переменные окружения. Попросите администратора настроить AI_PROVIDER, учетные данные этого провайдера и соответствующий список моделей перед включением функций ИИ.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "Изменить сообщение «Опрос закрыт»",
|
||||
"adjust_survey_closed_message_description": "Измените сообщение, которое видят посетители, когда опрос закрыт.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Настройте тему в разделе <lookFeelLink>Внешний вид</lookFeelLink>.",
|
||||
"ai_data_analysis_disabled": "Анализ данных с помощью ИИ отключён для этой организации.",
|
||||
"ai_features_not_enabled": "Функции ИИ не включены для этой организации.",
|
||||
"ai_instance_not_configured": "ИИ не настроен. Свяжись с администратором.",
|
||||
"ai_smart_tools_disabled": "Умные инструменты ИИ отключены для этой организации.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Endast små bokstäver, siffror och understreck. Måste börja med en bokstav.",
|
||||
"attribute_key_placeholder": "t.ex. date_of_birth",
|
||||
"attribute_key_required": "Nyckel krävs",
|
||||
"attribute_key_reserved_future_default": "Nyckeln är reserverad för framtida standardattribut ({reservedKeys}). Välj en annan nyckel.",
|
||||
"attribute_key_safe_identifier_required": "Nyckeln måste vara en säker identifierare: endast små bokstäver, siffror och understreck, och måste börja med en bokstav",
|
||||
"attribute_label": "Etikett",
|
||||
"attribute_label_placeholder": "t.ex. Födelsedatum",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Generera personlig länk",
|
||||
"generate_personal_link_description": "Välj en publicerad enkät för att generera en personlig länk för denna kontakt.",
|
||||
"invalid_csv_column_names": "Ogiltiga CSV-kolumnnamn: {columns}. Kolumnnamn som ska bli nya attribut får bara innehålla små bokstäver, siffror och understreck, och måste börja med en bokstav.",
|
||||
"invalid_csv_reserved_column_names": "Reserverade CSV-kolumnnamn: {columns}. Dessa namn är reserverade för framtida standardattribut ({reservedKeys}) och kan inte skapas som nya attribut.",
|
||||
"invalid_date_format": "Ogiltigt datumformat. Ange ett giltigt datum.",
|
||||
"invalid_number_format": "Ogiltigt nummerformat. Ange ett giltigt nummer.",
|
||||
"no_activity_yet": "Ingen aktivitet än",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Arbetsytor som beviljas åtkomst"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Dataförbättring & analys (AI)",
|
||||
"ai_data_analysis_enabled_description": "AI för att få ut mer av din data, skapa dashboards, diagram, rapporter och mer. Använder din upplevelsedata.",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "Hantera AI-drivna funktioner för den här organisationen.",
|
||||
"ai_instance_not_configured": "AI konfigureras på instansnivå via miljövariabler. Be din administratör att ange AI_PROVIDER, autentiseringsuppgifterna för den leverantören och den tillhörande modellistan innan AI-funktioner aktiveras.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "Justera meddelande för 'Enkät stängd'",
|
||||
"adjust_survey_closed_message_description": "Ändra meddelandet besökare ser när enkäten är stängd.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Justera temat i inställningarna för <lookFeelLink>Utseende & Känsla</lookFeelLink>.",
|
||||
"ai_data_analysis_disabled": "AI-dataanalys är inaktiverad för den här organisationen.",
|
||||
"ai_features_not_enabled": "AI-funktioner är inte aktiverade för den här organisationen.",
|
||||
"ai_instance_not_configured": "AI är inte konfigurerad. Kontakta din administratör.",
|
||||
"ai_smart_tools_disabled": "AI smarta verktyg är inaktiverade för den här organisationen.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "Yalnızca küçük harfler, rakamlar ve alt çizgiler. Bir harfle başlamalıdır.",
|
||||
"attribute_key_placeholder": "örn. dogum_tarihi",
|
||||
"attribute_key_required": "Anahtar gereklidir",
|
||||
"attribute_key_reserved_future_default": "Anahtar, gelecekteki varsayılan özellikler için ayrılmıştır ({reservedKeys}). Lütfen farklı bir anahtar seçin.",
|
||||
"attribute_key_safe_identifier_required": "Anahtar güvenli bir tanımlayıcı olmalıdır: yalnızca küçük harfler, rakamlar ve alt çizgiler içermeli ve bir harfle başlamalıdır",
|
||||
"attribute_label": "Etiket",
|
||||
"attribute_label_placeholder": "örn. Doğum Tarihi",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "Kişisel Bağlantı Oluştur",
|
||||
"generate_personal_link_description": "Bu kişi için kişiselleştirilmiş bir bağlantı oluşturmak üzere yayınlanmış bir anket seç.",
|
||||
"invalid_csv_column_names": "Geçersiz CSV sütun adı/adları: {columns}. Yeni özellik olacak sütun adları yalnızca küçük harf, rakam ve alt çizgi içerebilir ve bir harfle başlamalıdır.",
|
||||
"invalid_csv_reserved_column_names": "Ayrılmış CSV sütun adı/adları: {columns}. Bu adlar gelecekteki varsayılan özellikler ({reservedKeys}) için ayrılmıştır ve yeni özellik olarak oluşturulamaz.",
|
||||
"invalid_date_format": "Geçersiz tarih formatı. Lütfen geçerli bir tarih kullanın.",
|
||||
"invalid_number_format": "Geçersiz sayı formatı. Lütfen geçerli bir sayı girin.",
|
||||
"no_activity_yet": "Henüz aktivite yok",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "Erişim verilen çalışma alanları"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "Veri zenginleştirme ve analiz (Yapay Zeka)",
|
||||
"ai_data_analysis_enabled_description": "Verilerinden daha fazlasını elde etmek, kontrol panelleri, grafikler, raporlar ve daha fazlasını kurmak için yapay zeka. Deneyim verilerine dokunur.",
|
||||
"ai_enabled": "Formbricks Yapay Zeka",
|
||||
"ai_enabled_description": "Bu organizasyon için yapay zeka destekli özellikleri yönet.",
|
||||
"ai_instance_not_configured": "Yapay zeka, ortam değişkenleri aracılığıyla instance seviyesinde yapılandırılır. Yapay zeka özelliklerini etkinleştirmeden önce yöneticinden AI_PROVIDER, AI_MODEL ve eşleşen sağlayıcı kimlik bilgilerini ayarlamasını iste.",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "\"Anket Kapatıldı\" mesajını düzenle",
|
||||
"adjust_survey_closed_message_description": "Anket kapalıyken ziyaretçilerin gördüğü mesajı değiştir.",
|
||||
"adjust_theme_in_look_and_feel_settings": "Temayı <lookFeelLink>Görünüm ve His</lookFeelLink> Ayarlarından düzenleyin.",
|
||||
"ai_data_analysis_disabled": "Bu organizasyon için yapay zeka veri analizi devre dışı.",
|
||||
"ai_features_not_enabled": "Bu organizasyon için yapay zeka özellikleri etkinleştirilmemiş.",
|
||||
"ai_instance_not_configured": "Yapay zeka yapılandırılmamış. Yöneticinle iletişime geç.",
|
||||
"ai_smart_tools_disabled": "Bu organizasyon için yapay zeka akıllı araçları devre dışı.",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "仅允许小写字母、数字和下划线,且必须以字母开头。",
|
||||
"attribute_key_placeholder": "例如:date_of_birth",
|
||||
"attribute_key_required": "键为必填项",
|
||||
"attribute_key_reserved_future_default": "该键已保留用于未来的默认属性({reservedKeys})。请选择其他键。",
|
||||
"attribute_key_safe_identifier_required": "键必须为安全标识符:仅允许小写字母、数字和下划线,且必须以字母开头",
|
||||
"attribute_label": "标签",
|
||||
"attribute_label_placeholder": "例如:出生日期",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "生成个人链接",
|
||||
"generate_personal_link_description": "选择一个已发布的调查,为此联系人生成个性化链接。",
|
||||
"invalid_csv_column_names": "无效的 CSV 列名:{columns}。作为新属性的列名只能包含小写字母、数字和下划线,并且必须以字母开头。",
|
||||
"invalid_csv_reserved_column_names": "CSV 列名已被保留:{columns}。这些名称已保留用于未来的默认属性({reservedKeys}),无法创建为新属性。",
|
||||
"invalid_date_format": "日期格式无效。请使用有效日期。",
|
||||
"invalid_number_format": "数字格式无效。请输入有效的数字。",
|
||||
"no_activity_yet": "暂无活动",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "将被授权访问的工作区"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "数据增强与分析(AI)",
|
||||
"ai_data_analysis_enabled_description": "使用 AI 深度挖掘你的数据,设置仪表盘、图表、报告等。会处理你的体验数据。",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "管理该组织的 AI 驱动功能。",
|
||||
"ai_instance_not_configured": "AI 通过环境变量在实例级别进行配置。启用 AI 功能前,请让管理员设置 AI_PROVIDER、该提供商的凭据以及对应的模型列表。",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "调整 \"调查 关闭\" 消息",
|
||||
"adjust_survey_closed_message_description": "更改 访客 看到 调查 关闭 时 的 消息。",
|
||||
"adjust_theme_in_look_and_feel_settings": "在<lookFeelLink>外观与感觉</lookFeelLink>设置中调整主题。",
|
||||
"ai_data_analysis_disabled": "此组织已禁用 AI 数据分析。",
|
||||
"ai_features_not_enabled": "此组织未启用 AI 功能。",
|
||||
"ai_instance_not_configured": "AI 未配置。请联系您的管理员。",
|
||||
"ai_smart_tools_disabled": "此组织已禁用 AI 智能工具。",
|
||||
|
||||
@@ -1935,7 +1935,6 @@
|
||||
"attribute_key_hint": "僅限小寫字母、數字和底線,且必須以字母開頭。",
|
||||
"attribute_key_placeholder": "例如:date_of_birth",
|
||||
"attribute_key_required": "金鑰為必填項目",
|
||||
"attribute_key_reserved_future_default": "此鍵已保留供未來預設屬性使用({reservedKeys})。請選擇其他鍵。",
|
||||
"attribute_key_safe_identifier_required": "金鑰必須為安全識別字:僅限小寫字母、數字和底線,且必須以字母開頭",
|
||||
"attribute_label": "標籤",
|
||||
"attribute_label_placeholder": "例如:出生日期",
|
||||
@@ -1970,7 +1969,6 @@
|
||||
"generate_personal_link": "產生個人連結",
|
||||
"generate_personal_link_description": "選擇一個已發佈的問卷,為此聯絡人產生個人化連結。",
|
||||
"invalid_csv_column_names": "無效的 CSV 欄位名稱:{columns}。作為新屬性的欄位名稱只能包含小寫字母、數字和底線,且必須以字母開頭。",
|
||||
"invalid_csv_reserved_column_names": "保留的 CSV 欄位名稱:{columns}。這些名稱已保留供未來預設屬性使用({reservedKeys}),無法建立為新屬性。",
|
||||
"invalid_date_format": "日期格式無效。請使用有效的日期。",
|
||||
"invalid_number_format": "數字格式無效。請輸入有效的數字。",
|
||||
"no_activity_yet": "尚無活動",
|
||||
@@ -2612,6 +2610,8 @@
|
||||
"workspaces_being_added": "正在授予存取權限的工作區"
|
||||
},
|
||||
"general": {
|
||||
"ai_data_analysis_enabled": "資料增強與分析(AI)",
|
||||
"ai_data_analysis_enabled_description": "利用 AI 深入分析你的資料,建立儀表板、圖表、報告等。會處理你的體驗資料。",
|
||||
"ai_enabled": "Formbricks AI",
|
||||
"ai_enabled_description": "管理此組織的 AI 功能。",
|
||||
"ai_instance_not_configured": "AI 會透過環境變數在實例層級進行設定。啟用 AI 功能前,請管理員設定 AI_PROVIDER、該供應商的憑證,以及對應的模型清單。",
|
||||
@@ -2818,6 +2818,7 @@
|
||||
"adjust_survey_closed_message": "調整「問卷已關閉」訊息",
|
||||
"adjust_survey_closed_message_description": "變更訪客在問卷關閉時看到的訊息。",
|
||||
"adjust_theme_in_look_and_feel_settings": "在<lookFeelLink>外觀與感覺</lookFeelLink>設定中調整主題。",
|
||||
"ai_data_analysis_disabled": "此組織已停用 AI 資料分析。",
|
||||
"ai_features_not_enabled": "此組織未啟用 AI 功能。",
|
||||
"ai_instance_not_configured": "AI 未設定。請聯絡您的管理員。",
|
||||
"ai_smart_tools_disabled": "此組織已停用 AI 智慧工具。",
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import { ZodRawShape, z } from "zod";
|
||||
import { logger } from "@formbricks/logger";
|
||||
import { TAuthenticationApiKey } from "@formbricks/types/auth";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { TApiAuditLog } from "@/app/lib/api/with-api-logging";
|
||||
import { formatZodError, handleApiError } from "@/modules/api/v2/lib/utils";
|
||||
import { applyRateLimit } from "@/modules/core/rate-limit/helpers";
|
||||
@@ -74,22 +73,10 @@ export const apiWrapper = async <S extends ExtendedSchemas>({
|
||||
let parsedInput: ParsedSchemas<S> = {} as ParsedSchemas<S>;
|
||||
|
||||
if (schemas?.body) {
|
||||
let bodyData: Record<string, unknown>;
|
||||
let bodyData;
|
||||
try {
|
||||
bodyData = await parseJsonBodyWithLimit<Record<string, unknown>>(request);
|
||||
bodyData = await request.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return handleApiError(request, {
|
||||
type: "payload_too_large",
|
||||
details: [
|
||||
{
|
||||
field: "body",
|
||||
issue: error.message,
|
||||
},
|
||||
],
|
||||
});
|
||||
}
|
||||
|
||||
logger.error({ error, url: request.url }, "Error parsing JSON input");
|
||||
return handleApiError(request, {
|
||||
type: "bad_request",
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import { describe, expect, test, vi } from "vitest";
|
||||
import { z } from "zod";
|
||||
import { err, ok } from "@formbricks/types/error-handlers";
|
||||
import { DEFAULT_REQUEST_BODY_LIMIT_BYTES } from "@/app/lib/api/request-body";
|
||||
import { apiWrapper } from "@/modules/api/v2/auth/api-wrapper";
|
||||
import { authenticateRequest } from "@/modules/api/v2/auth/authenticate-request";
|
||||
import { handleApiError } from "@/modules/api/v2/lib/utils";
|
||||
|
||||
@@ -148,35 +148,6 @@ const conflictResponse = ({
|
||||
);
|
||||
};
|
||||
|
||||
const payloadTooLargeResponse = ({
|
||||
details = [],
|
||||
cors = false,
|
||||
cache = "private, no-store",
|
||||
}: {
|
||||
details?: ApiErrorDetails;
|
||||
cors?: boolean;
|
||||
cache?: string;
|
||||
} = {}) => {
|
||||
const headers = {
|
||||
...(cors && corsHeaders),
|
||||
"Cache-Control": cache,
|
||||
};
|
||||
|
||||
return Response.json(
|
||||
{
|
||||
error: {
|
||||
code: 413,
|
||||
message: "Payload Too Large",
|
||||
details,
|
||||
},
|
||||
},
|
||||
{
|
||||
status: 413,
|
||||
headers,
|
||||
}
|
||||
);
|
||||
};
|
||||
|
||||
const unprocessableEntityResponse = ({
|
||||
details = [],
|
||||
cors = false,
|
||||
@@ -380,7 +351,6 @@ export const responses = {
|
||||
forbiddenResponse,
|
||||
notFoundResponse,
|
||||
conflictResponse,
|
||||
payloadTooLargeResponse,
|
||||
unprocessableEntityResponse,
|
||||
tooManyRequestsResponse,
|
||||
internalServerErrorResponse,
|
||||
|
||||
@@ -28,8 +28,6 @@ export const handleApiError = (
|
||||
return responses.notFoundResponse({ details: err.details });
|
||||
case "conflict":
|
||||
return responses.conflictResponse({ details: err.details });
|
||||
case "payload_too_large":
|
||||
return responses.payloadTooLargeResponse({ details: err.details });
|
||||
case "unprocessable_entity":
|
||||
return responses.unprocessableEntityResponse({ details: err.details });
|
||||
case "too_many_requests":
|
||||
|
||||
-11
@@ -10,10 +10,6 @@ import {
|
||||
TGetContactAttributeKeysFilter,
|
||||
} from "@/modules/api/v2/management/contact-attribute-keys/types/contact-attribute-keys";
|
||||
import { ApiErrorResponseV2 } from "@/modules/api/v2/types/api-error";
|
||||
import {
|
||||
getReservedFutureDefaultAttributeKeyIssue,
|
||||
isReservedFutureDefaultAttributeKey,
|
||||
} from "@/modules/ee/contacts/lib/attribute-key-policy";
|
||||
|
||||
export const getContactAttributeKeys = reactCache(
|
||||
async (workspaceIds: string[], params: TGetContactAttributeKeysFilter) => {
|
||||
@@ -49,13 +45,6 @@ export const createContactAttributeKey = async (
|
||||
): Promise<Result<ContactAttributeKey, ApiErrorResponseV2>> => {
|
||||
const { workspaceId, name, description, key, dataType } = contactAttributeKey;
|
||||
|
||||
if (isReservedFutureDefaultAttributeKey(key)) {
|
||||
return err({
|
||||
type: "bad_request",
|
||||
details: [{ field: "key", issue: getReservedFutureDefaultAttributeKeyIssue([key]) }],
|
||||
});
|
||||
}
|
||||
|
||||
try {
|
||||
const prismaData: Prisma.ContactAttributeKeyCreateInput = {
|
||||
workspace: {
|
||||
|
||||
-22
@@ -105,28 +105,6 @@ describe("createContactAttributeKey", () => {
|
||||
}
|
||||
});
|
||||
|
||||
test("returns bad request when key is reserved for future defaults", async () => {
|
||||
const result = await createContactAttributeKey({
|
||||
...inputContactAttributeKey,
|
||||
key: "user_id",
|
||||
});
|
||||
expect(result.ok).toBe(false);
|
||||
expect(prisma.contactAttributeKey.create).not.toHaveBeenCalled();
|
||||
|
||||
if (!result.ok) {
|
||||
expect(result.error).toStrictEqual({
|
||||
type: "bad_request",
|
||||
details: [
|
||||
{
|
||||
field: "key",
|
||||
issue:
|
||||
"Reserved attribute key(s): user_id. These keys are reserved for the v5.1 safe-identifier default attribute migration and cannot be created as custom attributes.",
|
||||
},
|
||||
],
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
test("returns conflict error when key already exists", async () => {
|
||||
const errToThrow = new Prisma.PrismaClientKnownRequestError("Mock error message", {
|
||||
code: PrismaErrorType.UniqueConstraintViolation,
|
||||
|
||||
-20
@@ -2,10 +2,6 @@ import { z } from "zod";
|
||||
import { ZContactAttributeKey } from "@formbricks/database/zod/contact-attribute-keys";
|
||||
import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
|
||||
import { ZGetFilter } from "@/modules/api/v2/types/api-filter";
|
||||
import {
|
||||
getReservedFutureDefaultAttributeKeyIssue,
|
||||
isReservedFutureDefaultAttributeKey,
|
||||
} from "@/modules/ee/contacts/lib/attribute-key-policy";
|
||||
|
||||
export const ZGetContactAttributeKeysFilter = ZGetFilter.extend({})
|
||||
.refine(
|
||||
@@ -42,14 +38,6 @@ export const ZContactAttributeKeyInput = ZContactAttributeKey.pick({
|
||||
path: ["key"],
|
||||
});
|
||||
}
|
||||
|
||||
if (isReservedFutureDefaultAttributeKey(data.key)) {
|
||||
ctx.addIssue({
|
||||
code: "custom",
|
||||
message: getReservedFutureDefaultAttributeKeyIssue([data.key]),
|
||||
path: ["key"],
|
||||
});
|
||||
}
|
||||
})
|
||||
.meta({
|
||||
id: "contactAttributeKeyInput",
|
||||
@@ -77,14 +65,6 @@ export const ZContactAttributeKeyCreateInput = ZContactAttributeKey.pick({
|
||||
path: ["key"],
|
||||
});
|
||||
}
|
||||
|
||||
if (isReservedFutureDefaultAttributeKey(data.key)) {
|
||||
ctx.addIssue({
|
||||
code: "custom",
|
||||
message: getReservedFutureDefaultAttributeKeyIssue([data.key]),
|
||||
path: ["key"],
|
||||
});
|
||||
}
|
||||
})
|
||||
.meta({
|
||||
id: "contactAttributeKeyCreateInput",
|
||||
|
||||
@@ -10,13 +10,7 @@ export type ApiErrorDetails = {
|
||||
|
||||
export type ApiErrorResponseV2 =
|
||||
| {
|
||||
type:
|
||||
| "unauthorized"
|
||||
| "forbidden"
|
||||
| "conflict"
|
||||
| "payload_too_large"
|
||||
| "too_many_requests"
|
||||
| "internal_server_error";
|
||||
type: "unauthorized" | "forbidden" | "conflict" | "too_many_requests" | "internal_server_error";
|
||||
details?: ApiErrorDetails;
|
||||
}
|
||||
| {
|
||||
|
||||
@@ -10,6 +10,7 @@ export const CLOUD_STRIPE_FEATURE_LOOKUP_KEYS = {
|
||||
SPAM_PROTECTION: "spam-protection",
|
||||
CONTACTS: "contacts",
|
||||
AI_SMART_TOOLS: "ai-smart-tools",
|
||||
AI_DATA_ANALYSIS: "ai-data-analysis",
|
||||
FEEDBACK_DIRECTORIES: "feedback-directories",
|
||||
DASHBOARDS: "dashboards",
|
||||
} as const;
|
||||
|
||||
@@ -81,7 +81,7 @@ export const translateSurveyFieldsAction = authenticatedActionClient
|
||||
],
|
||||
});
|
||||
|
||||
await assertOrganizationAIConfigured(organizationId);
|
||||
await assertOrganizationAIConfigured(organizationId, "smartTools");
|
||||
|
||||
const translations = await translateFields({
|
||||
organizationId,
|
||||
|
||||
@@ -40,6 +40,7 @@ Rules:
|
||||
|
||||
const result = await generateOrganizationAIText({
|
||||
organizationId,
|
||||
capability: "smartTools",
|
||||
system: systemPrompt,
|
||||
prompt: JSON.stringify(items),
|
||||
});
|
||||
|
||||
@@ -363,7 +363,10 @@ export const generateAIChartAction = authenticatedActionClient
|
||||
|
||||
await checkDashboardsEnabled(organizationId);
|
||||
|
||||
await assertOrganizationAIConfigured(organizationId);
|
||||
// Verify AI is entitled, enabled at org level, and configured at instance level.
|
||||
// Uses "smartTools" (not "dataAnalysis") because chart generation only sends the
|
||||
// Cube schema context and the user's prompt to the LLM — no response PII.
|
||||
await assertOrganizationAIConfigured(organizationId, "smartTools");
|
||||
|
||||
const { feedbackDirectoryId } = await checkFeedbackDirectoryAccess({
|
||||
feedbackDirectoryId: parsedInput.feedbackDirectoryId,
|
||||
|
||||
@@ -0,0 +1,96 @@
|
||||
import { describe, expect, test } from "vitest";
|
||||
import type { TChartQuery } from "@formbricks/types/analysis";
|
||||
import { expandPresetDateRanges } from "./date-presets";
|
||||
|
||||
const queryWithDateRange = (dateRange: string | [string, string]): TChartQuery => ({
|
||||
measures: ["FeedbackRecords.count"],
|
||||
timeDimensions: [{ dimension: "FeedbackRecords.collectedAt", dateRange }],
|
||||
});
|
||||
|
||||
// Mid-month, mid-quarter date that exercises month/quarter/year boundaries cleanly.
|
||||
const NOW = new Date(2026, 4, 21, 14, 30, 0); // May 21, 2026 14:30 local
|
||||
|
||||
describe("expandPresetDateRanges", () => {
|
||||
test("includes today for 'last 7 days'", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange("last 7 days"), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-05-15", "2026-05-21"]);
|
||||
});
|
||||
|
||||
test("includes today for 'last 30 days'", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange("last 30 days"), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-04-22", "2026-05-21"]);
|
||||
});
|
||||
|
||||
test("expands 'today' to today..today", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange("today"), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-05-21", "2026-05-21"]);
|
||||
});
|
||||
|
||||
test("expands 'yesterday' to yesterday..yesterday", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange("yesterday"), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-05-20", "2026-05-20"]);
|
||||
});
|
||||
|
||||
test("'this month' runs from the 1st through today", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange("this month"), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-05-01", "2026-05-21"]);
|
||||
});
|
||||
|
||||
test("'last month' is the full previous calendar month", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange("last month"), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-04-01", "2026-04-30"]);
|
||||
});
|
||||
|
||||
test("'last month' handles year rollover", () => {
|
||||
const janFirst = new Date(2026, 0, 15, 10, 0, 0);
|
||||
const result = expandPresetDateRanges(queryWithDateRange("last month"), janFirst);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2025-12-01", "2025-12-31"]);
|
||||
});
|
||||
|
||||
test("'this quarter' starts at the first day of the calendar quarter", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange("this quarter"), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-04-01", "2026-05-21"]);
|
||||
});
|
||||
|
||||
test("'this year' starts on Jan 1", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange("this year"), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-01-01", "2026-05-21"]);
|
||||
});
|
||||
|
||||
test("leaves explicit [start, end] tuple unchanged", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange(["2026-01-01", "2026-01-15"]), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toEqual(["2026-01-01", "2026-01-15"]);
|
||||
});
|
||||
|
||||
test("leaves an unknown preset string unchanged so Cube can interpret it", () => {
|
||||
const result = expandPresetDateRanges(queryWithDateRange("from -3 days to now"), NOW);
|
||||
expect(result.timeDimensions?.[0].dateRange).toBe("from -3 days to now");
|
||||
});
|
||||
|
||||
test("returns input unchanged when there are no time dimensions", () => {
|
||||
const q: TChartQuery = { measures: ["FeedbackRecords.count"] };
|
||||
expect(expandPresetDateRanges(q, NOW)).toEqual(q);
|
||||
});
|
||||
|
||||
test("preserves other timeDimension fields (granularity, dimension)", () => {
|
||||
const q: TChartQuery = {
|
||||
measures: ["FeedbackRecords.count"],
|
||||
timeDimensions: [
|
||||
{ dimension: "FeedbackRecords.collectedAt", granularity: "day", dateRange: "last 7 days" },
|
||||
],
|
||||
};
|
||||
const result = expandPresetDateRanges(q, NOW);
|
||||
expect(result.timeDimensions?.[0]).toMatchObject({
|
||||
dimension: "FeedbackRecords.collectedAt",
|
||||
granularity: "day",
|
||||
dateRange: ["2026-05-15", "2026-05-21"],
|
||||
});
|
||||
});
|
||||
|
||||
test("does not mutate the input query", () => {
|
||||
const q = queryWithDateRange("last 7 days");
|
||||
const before = JSON.stringify(q);
|
||||
expandPresetDateRanges(q, NOW);
|
||||
expect(JSON.stringify(q)).toBe(before);
|
||||
});
|
||||
});
|
||||
@@ -1,3 +1,5 @@
|
||||
import { readFileSync } from "node:fs";
|
||||
import { fileURLToPath } from "node:url";
|
||||
import { describe, expect, test } from "vitest";
|
||||
import {
|
||||
FEEDBACK_FIELDS,
|
||||
@@ -6,6 +8,17 @@ import {
|
||||
getFilterOperatorsForType,
|
||||
} from "./schema-definition";
|
||||
|
||||
const chartCubeSchemaPath = fileURLToPath(
|
||||
new URL("../../../../../../charts/formbricks/cube/schema/FeedbackRecords.js", import.meta.url)
|
||||
);
|
||||
const dockerCubeSchemaPath = fileURLToPath(
|
||||
new URL("../../../../../../docker/cube/schema/FeedbackRecords.js", import.meta.url)
|
||||
);
|
||||
|
||||
const readChartCubeSchema = (): string => readFileSync(chartCubeSchemaPath, "utf8");
|
||||
const readDockerCubeSchema = (): string => readFileSync(dockerCubeSchemaPath, "utf8");
|
||||
const getCubeMemberName = (id: string): string => id.replace("FeedbackRecords.", "");
|
||||
|
||||
describe("schema-definition", () => {
|
||||
describe("getFilterOperatorsForType", () => {
|
||||
test("returns string operators", () => {
|
||||
@@ -94,5 +107,20 @@ describe("schema-definition", () => {
|
||||
);
|
||||
expect(ids).not.toContain("FeedbackRecords.averageScore");
|
||||
});
|
||||
|
||||
test("only exposes members present in the deployed Cube schema", () => {
|
||||
const chartCubeSchema = readChartCubeSchema();
|
||||
const exposedMembers = [...FEEDBACK_FIELDS.measures, ...FEEDBACK_FIELDS.dimensions].map(({ id }) =>
|
||||
getCubeMemberName(id)
|
||||
);
|
||||
|
||||
for (const member of exposedMembers) {
|
||||
expect(chartCubeSchema).toContain(` ${member}: {`);
|
||||
}
|
||||
});
|
||||
|
||||
test("keeps the Helm and Docker Cube schemas in sync", () => {
|
||||
expect(readChartCubeSchema()).toBe(readDockerCubeSchema());
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
@@ -1,12 +1,11 @@
|
||||
import { headers } from "next/headers";
|
||||
import { NextResponse } from "next/server";
|
||||
import { logger } from "@formbricks/logger";
|
||||
import { RequestBodyTooLargeError, readRequestBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { webhookHandler } from "@/modules/ee/billing/api/lib/stripe-webhook";
|
||||
|
||||
export const POST = async (request: Request) => {
|
||||
try {
|
||||
const body = await readRequestBodyWithLimit(request);
|
||||
const body = await request.text();
|
||||
const requestHeaders = await headers(); // Corrected: headers() is async
|
||||
const signature = requestHeaders.get("stripe-signature");
|
||||
|
||||
@@ -27,10 +26,6 @@ export const POST = async (request: Request) => {
|
||||
|
||||
return NextResponse.json(result.message || { received: true }, { status: 200 });
|
||||
} catch (error: any) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return NextResponse.json({ message: "Payload Too Large" }, { status: 413 });
|
||||
}
|
||||
|
||||
logger.error(error, `Unhandled error in Stripe webhook POST handler: ${error.message}`);
|
||||
return NextResponse.json({ message: "Internal server error" }, { status: 500 });
|
||||
}
|
||||
|
||||
@@ -4,7 +4,6 @@ import { ZId } from "@formbricks/types/common";
|
||||
import { TContactAttributesInput } from "@formbricks/types/contact-attribute";
|
||||
import { ResourceNotFoundError, ValidationError } from "@formbricks/types/errors";
|
||||
import { TJsPersonState } from "@formbricks/types/js";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { THandlerParams, withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
import { getOrganizationIdFromWorkspaceId } from "@/lib/utils/helper";
|
||||
@@ -28,11 +27,6 @@ const handleError = (err: unknown, url: string): { response: Response; error?: u
|
||||
};
|
||||
};
|
||||
|
||||
type TContactUserRequestBody = Record<string, unknown> & {
|
||||
attributes?: Record<string, unknown>;
|
||||
userId?: unknown;
|
||||
};
|
||||
|
||||
export const OPTIONS = async (): Promise<Response> => {
|
||||
return responses.successResponse(
|
||||
{},
|
||||
@@ -82,24 +76,7 @@ export const POST = withV1ApiWrapper({
|
||||
}
|
||||
const { workspaceId } = resolved;
|
||||
|
||||
let jsonInput: TContactUserRequestBody;
|
||||
try {
|
||||
jsonInput = await parseJsonBodyWithLimit<TContactUserRequestBody>(req);
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }, true),
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
response: responses.badRequestResponse(
|
||||
"Malformed JSON input, please check your request body",
|
||||
{ error: error instanceof Error ? error.message : "Unknown error occurred" },
|
||||
true
|
||||
),
|
||||
};
|
||||
}
|
||||
const jsonInput = await req.json();
|
||||
|
||||
// Basic input validation without Zod overhead
|
||||
if (
|
||||
@@ -114,13 +91,8 @@ export const POST = withV1ApiWrapper({
|
||||
}
|
||||
|
||||
// Simple email validation if present (avoid Zod)
|
||||
const attributes =
|
||||
typeof jsonInput.attributes === "object" && jsonInput.attributes !== null
|
||||
? jsonInput.attributes
|
||||
: undefined;
|
||||
|
||||
if (attributes && Object.hasOwn(attributes, "email")) {
|
||||
const email = attributes.email;
|
||||
if (jsonInput.attributes?.email) {
|
||||
const email = jsonInput.attributes.email;
|
||||
if (typeof email !== "string" || !email.includes("@") || email.length < 3) {
|
||||
return {
|
||||
response: responses.badRequestResponse("Invalid email format", undefined, true),
|
||||
@@ -128,7 +100,7 @@ export const POST = withV1ApiWrapper({
|
||||
}
|
||||
}
|
||||
|
||||
const userId = jsonInput.userId;
|
||||
const { userId, attributes } = jsonInput;
|
||||
|
||||
const organizationId = await getOrganizationIdFromWorkspaceId(workspaceId);
|
||||
const isContactsEnabled = await getIsContactsEnabled(organizationId);
|
||||
|
||||
+1
-9
@@ -3,12 +3,8 @@ import { cache as reactCache } from "react";
|
||||
import { prisma } from "@formbricks/database";
|
||||
import { ZId } from "@formbricks/types/common";
|
||||
import { TContactAttributeKey } from "@formbricks/types/contact-attribute-key";
|
||||
import { DatabaseError, InvalidInputError } from "@formbricks/types/errors";
|
||||
import { DatabaseError } from "@formbricks/types/errors";
|
||||
import { validateInputs } from "@/lib/utils/validate";
|
||||
import {
|
||||
getReservedFutureDefaultAttributeKeyIssue,
|
||||
isReservedFutureDefaultAttributeKey,
|
||||
} from "@/modules/ee/contacts/lib/attribute-key-policy";
|
||||
import {
|
||||
TContactAttributeKeyUpdateInput,
|
||||
ZContactAttributeKeyUpdateInput,
|
||||
@@ -60,10 +56,6 @@ export const updateContactAttributeKey = async (
|
||||
): Promise<TContactAttributeKey | null> => {
|
||||
validateInputs([contactAttributeKeyId, ZId], [data, ZContactAttributeKeyUpdateInput]);
|
||||
|
||||
if (data.key && isReservedFutureDefaultAttributeKey(data.key)) {
|
||||
throw new InvalidInputError(getReservedFutureDefaultAttributeKeyIssue([data.key]));
|
||||
}
|
||||
|
||||
try {
|
||||
const contactAttributeKey = await prisma.contactAttributeKey.update({
|
||||
where: {
|
||||
|
||||
+1
-8
@@ -1,6 +1,5 @@
|
||||
import { logger } from "@formbricks/logger";
|
||||
import { handleErrorResponse } from "@/app/api/v1/auth";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { TApiKeyAuthentication, THandlerParams, withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -150,14 +149,8 @@ export const PUT = withV1ApiWrapper({
|
||||
|
||||
let contactAttributeKeyUpdate;
|
||||
try {
|
||||
contactAttributeKeyUpdate = await parseJsonBodyWithLimit(req);
|
||||
contactAttributeKeyUpdate = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
logger.error({ error, url: req.url }, "Error parsing JSON input");
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
|
||||
+4
-16
@@ -1,21 +1,12 @@
|
||||
import { z } from "zod";
|
||||
import { ZContactAttributeDataType } from "@formbricks/types/contact-attribute-key";
|
||||
import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
|
||||
import {
|
||||
RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
|
||||
isReservedFutureDefaultAttributeKey,
|
||||
} from "@/modules/ee/contacts/lib/attribute-key-policy";
|
||||
|
||||
export const ZContactAttributeKeyCreateInput = z.object({
|
||||
key: z
|
||||
.string()
|
||||
.refine((val) => isSafeIdentifier(val), {
|
||||
error:
|
||||
"Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
|
||||
})
|
||||
.refine((val) => !isReservedFutureDefaultAttributeKey(val), {
|
||||
error: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
|
||||
}),
|
||||
key: z.string().refine((val) => isSafeIdentifier(val), {
|
||||
error:
|
||||
"Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
|
||||
}),
|
||||
description: z.string().optional(),
|
||||
type: z.enum(["custom"]),
|
||||
dataType: ZContactAttributeDataType.optional(),
|
||||
@@ -33,9 +24,6 @@ export const ZContactAttributeKeyUpdateInput = z.object({
|
||||
error:
|
||||
"Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
|
||||
})
|
||||
.refine((val) => !isReservedFutureDefaultAttributeKey(val), {
|
||||
error: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
|
||||
})
|
||||
.optional(),
|
||||
dataType: ZContactAttributeDataType.optional(),
|
||||
});
|
||||
|
||||
+1
-12
@@ -3,7 +3,7 @@ import { beforeEach, describe, expect, test, vi } from "vitest";
|
||||
import { prisma } from "@formbricks/database";
|
||||
import { PrismaErrorType } from "@formbricks/database/types/error";
|
||||
import { TContactAttributeKeyType } from "@formbricks/types/contact-attribute-key";
|
||||
import { DatabaseError, InvalidInputError, OperationNotAllowedError } from "@formbricks/types/errors";
|
||||
import { DatabaseError, OperationNotAllowedError } from "@formbricks/types/errors";
|
||||
import { MAX_ATTRIBUTE_CLASSES_PER_ENVIRONMENT } from "@/lib/constants";
|
||||
import { TContactAttributeKeyCreateInput } from "@/modules/ee/contacts/api/v1/management/contact-attribute-keys/[contactAttributeKeyId]/types/contact-attribute-keys";
|
||||
import { createContactAttributeKey, getContactAttributeKeys } from "./contact-attribute-keys";
|
||||
@@ -144,17 +144,6 @@ describe("createContactAttributeKey", () => {
|
||||
expect(prisma.contactAttributeKey.create).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("should throw InvalidInputError when key is reserved for future defaults", async () => {
|
||||
await expect(
|
||||
createContactAttributeKey(workspaceId, {
|
||||
...createInput,
|
||||
key: "user_id",
|
||||
})
|
||||
).rejects.toThrow(InvalidInputError);
|
||||
expect(prisma.contactAttributeKey.count).not.toHaveBeenCalled();
|
||||
expect(prisma.contactAttributeKey.create).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("should throw DatabaseError if Prisma create fails", async () => {
|
||||
vi.mocked(prisma.contactAttributeKey.count).mockResolvedValue(0);
|
||||
const errorMessage = "Prisma create error";
|
||||
|
||||
+1
-9
@@ -3,14 +3,10 @@ import { cache as reactCache } from "react";
|
||||
import { prisma } from "@formbricks/database";
|
||||
import { PrismaErrorType } from "@formbricks/database/types/error";
|
||||
import { TContactAttributeKey } from "@formbricks/types/contact-attribute-key";
|
||||
import { DatabaseError, InvalidInputError, OperationNotAllowedError } from "@formbricks/types/errors";
|
||||
import { DatabaseError, OperationNotAllowedError } from "@formbricks/types/errors";
|
||||
import { MAX_ATTRIBUTE_CLASSES_PER_ENVIRONMENT } from "@/lib/constants";
|
||||
import { formatSnakeCaseToTitleCase } from "@/lib/utils/safe-identifier";
|
||||
import { TContactAttributeKeyCreateInput } from "@/modules/ee/contacts/api/v1/management/contact-attribute-keys/[contactAttributeKeyId]/types/contact-attribute-keys";
|
||||
import {
|
||||
getReservedFutureDefaultAttributeKeyIssue,
|
||||
isReservedFutureDefaultAttributeKey,
|
||||
} from "@/modules/ee/contacts/lib/attribute-key-policy";
|
||||
|
||||
export const getContactAttributeKeys = reactCache(
|
||||
async (workspaceIds: string[]): Promise<TContactAttributeKey[]> => {
|
||||
@@ -33,10 +29,6 @@ export const createContactAttributeKey = async (
|
||||
workspaceId: string,
|
||||
data: TContactAttributeKeyCreateInput
|
||||
): Promise<TContactAttributeKey | null> => {
|
||||
if (isReservedFutureDefaultAttributeKey(data.key)) {
|
||||
throw new InvalidInputError(getReservedFutureDefaultAttributeKeyIssue([data.key]));
|
||||
}
|
||||
|
||||
const contactAttributeKeysCount = await prisma.contactAttributeKey.count({
|
||||
where: {
|
||||
workspaceId,
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
import { logger } from "@formbricks/logger";
|
||||
import { DatabaseError } from "@formbricks/types/errors";
|
||||
import { resolveBodyIds } from "@/app/api/v1/management/lib/workspace-resolver";
|
||||
import { RequestBodyTooLargeError, parseJsonBodyWithLimit } from "@/app/lib/api/request-body";
|
||||
import { responses } from "@/app/lib/api/response";
|
||||
import { transformErrorToDetails } from "@/app/lib/api/validator";
|
||||
import { THandlerParams, withV1ApiWrapper } from "@/app/lib/api/with-api-logging";
|
||||
@@ -64,14 +63,8 @@ export const POST = withV1ApiWrapper({
|
||||
|
||||
let contactAttributeKeyInput;
|
||||
try {
|
||||
contactAttributeKeyInput = await parseJsonBodyWithLimit<Record<string, unknown>>(req);
|
||||
contactAttributeKeyInput = await req.json();
|
||||
} catch (error) {
|
||||
if (error instanceof RequestBodyTooLargeError) {
|
||||
return {
|
||||
response: responses.payloadTooLargeResponse("Payload Too Large", { error: error.message }),
|
||||
};
|
||||
}
|
||||
|
||||
logger.error({ error, url: req.url }, "Error parsing JSON input");
|
||||
return {
|
||||
response: responses.badRequestResponse("Malformed JSON input, please check your request body"),
|
||||
|
||||
@@ -6,10 +6,6 @@ import { TContactAttributeDataType } from "@formbricks/types/contact-attribute-k
|
||||
import { Result, err, ok } from "@formbricks/types/error-handlers";
|
||||
import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
|
||||
import { ApiErrorResponseV2 } from "@/modules/api/v2/types/api-error";
|
||||
import {
|
||||
getReservedFutureDefaultAttributeKeyIssue,
|
||||
isReservedFutureDefaultAttributeKey,
|
||||
} from "@/modules/ee/contacts/lib/attribute-key-policy";
|
||||
import { prepareAttributeColumnsForStorage } from "@/modules/ee/contacts/lib/attribute-storage";
|
||||
import { detectAttributeDataType } from "@/modules/ee/contacts/lib/detect-attribute-type";
|
||||
import { TContactBulkUploadContact } from "@/modules/ee/contacts/types/contact";
|
||||
@@ -549,22 +545,6 @@ export const upsertBulkContacts = async (
|
||||
});
|
||||
}
|
||||
|
||||
const reservedNewKeys = attributeKeys.filter(
|
||||
(key) => !existingKeySet.has(key) && isReservedFutureDefaultAttributeKey(key)
|
||||
);
|
||||
|
||||
if (reservedNewKeys.length > 0) {
|
||||
return err({
|
||||
type: "bad_request",
|
||||
details: [
|
||||
{
|
||||
field: "attributes",
|
||||
issue: getReservedFutureDefaultAttributeKeyIssue(reservedNewKeys),
|
||||
},
|
||||
],
|
||||
});
|
||||
}
|
||||
|
||||
// Type Detection Phase
|
||||
const attributeValuesByKey = buildAttributeValuesByKey(contacts);
|
||||
const attributeTypeMap = determineAttributeTypes(attributeValuesByKey, existingAttributeKeys);
|
||||
|
||||
-36
@@ -347,42 +347,6 @@ describe("upsertBulkContacts", () => {
|
||||
expect(prisma.$executeRaw).toHaveBeenCalled();
|
||||
});
|
||||
|
||||
test("should return bad request when payload creates reserved future default keys", async () => {
|
||||
const mockContacts = [
|
||||
{
|
||||
attributes: [
|
||||
{ attributeKey: { key: "email", name: "Email" }, value: "john@example.com" },
|
||||
{ attributeKey: { key: "user_id", name: "User Id" }, value: "user-123" },
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
const mockParsedEmails = ["john@example.com"];
|
||||
|
||||
vi.mocked(prisma.contactAttribute.findMany).mockResolvedValueOnce([]);
|
||||
vi.mocked(prisma.contact.findMany).mockResolvedValueOnce([]);
|
||||
vi.mocked(prisma.contactAttributeKey.findMany).mockResolvedValueOnce([
|
||||
{ id: "attr-key-email", key: "email", workspaceId: mockWorkspaceId, name: "Email" },
|
||||
] as any);
|
||||
|
||||
const result = await upsertBulkContacts(mockContacts, mockWorkspaceId, mockParsedEmails);
|
||||
expect(result.ok).toBe(false);
|
||||
expect(prisma.contact.createMany).not.toHaveBeenCalled();
|
||||
|
||||
if (!result.ok) {
|
||||
expect(result.error).toStrictEqual({
|
||||
type: "bad_request",
|
||||
details: [
|
||||
{
|
||||
field: "attributes",
|
||||
issue:
|
||||
"Reserved attribute key(s): user_id. These keys are reserved for the v5.1 safe-identifier default attribute migration and cannot be created as custom attributes.",
|
||||
},
|
||||
],
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
test("should update attribute key names when they change", async () => {
|
||||
// Mock data: a contact with an attribute that has a new name for an existing key
|
||||
const mockContacts = [
|
||||
|
||||
@@ -10,10 +10,6 @@ import { checkAuthorizationUpdated } from "@/lib/utils/action-client/action-clie
|
||||
import { getOrganizationIdFromWorkspaceId } from "@/lib/utils/helper";
|
||||
import { isSafeIdentifier } from "@/lib/utils/safe-identifier";
|
||||
import { withAuditLogging } from "@/modules/ee/audit-logs/lib/handler";
|
||||
import {
|
||||
RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
|
||||
isReservedFutureDefaultAttributeKey,
|
||||
} from "@/modules/ee/contacts/lib/attribute-key-policy";
|
||||
import {
|
||||
createContactAttributeKey,
|
||||
deleteContactAttributeKey,
|
||||
@@ -23,15 +19,10 @@ import {
|
||||
|
||||
const ZCreateContactAttributeKeyAction = z.object({
|
||||
workspaceId: ZId,
|
||||
key: z
|
||||
.string()
|
||||
.refine((val) => isSafeIdentifier(val), {
|
||||
error:
|
||||
"Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
|
||||
})
|
||||
.refine((val) => !isReservedFutureDefaultAttributeKey(val), {
|
||||
error: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_KEY_VALIDATION_MESSAGE,
|
||||
}),
|
||||
key: z.string().refine((val) => isSafeIdentifier(val), {
|
||||
error:
|
||||
"Key must be a safe identifier: only lowercase letters, numbers, and underscores, and must start with a letter",
|
||||
}),
|
||||
name: z.string().optional(),
|
||||
description: z.string().optional(),
|
||||
dataType: ZContactAttributeDataType.optional(),
|
||||
|
||||
@@ -8,10 +8,6 @@ import { useTranslation } from "react-i18next";
|
||||
import { TContactAttributeDataType } from "@formbricks/types/contact-attribute-key";
|
||||
import { getFormattedErrorMessage } from "@/lib/utils/helper";
|
||||
import { formatSnakeCaseToTitleCase, isSafeIdentifier, toSafeIdentifier } from "@/lib/utils/safe-identifier";
|
||||
import {
|
||||
RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT,
|
||||
isReservedFutureDefaultAttributeKey,
|
||||
} from "@/modules/ee/contacts/lib/attribute-key-policy";
|
||||
import { Button } from "@/modules/ui/components/button";
|
||||
import {
|
||||
Dialog,
|
||||
@@ -97,14 +93,6 @@ export function CreateAttributeModal({ workspaceId }: Readonly<CreateAttributeMo
|
||||
);
|
||||
return false;
|
||||
}
|
||||
if (isReservedFutureDefaultAttributeKey(key)) {
|
||||
setKeyError(
|
||||
t("workspace.contacts.attribute_key_reserved_future_default", {
|
||||
reservedKeys: RESERVED_FUTURE_DEFAULT_ATTRIBUTE_SAFE_IDENTIFIER_KEYS_TEXT,
|
||||
})
|
||||
);
|
||||
return false;
|
||||
}
|
||||
setKeyError("");
|
||||
return true;
|
||||
};
|
||||
|
||||
@@ -10,37 +10,33 @@ export const CsvTable = ({ data }: CsvTableProps) => {
|
||||
}
|
||||
|
||||
const columns = Object.keys(data[0]);
|
||||
|
||||
return (
|
||||
<div className="w-full overflow-x-auto rounded-md">
|
||||
<table className="w-max min-w-full border-separate border-spacing-0 text-left text-xs">
|
||||
<thead>
|
||||
<tr className="bg-slate-100">
|
||||
{columns.map((header) => (
|
||||
<th
|
||||
key={header}
|
||||
scope="col"
|
||||
className="sticky top-0 z-10 min-w-[120px] border-b-2 border-slate-200 bg-slate-100 px-3 py-2 font-semibold">
|
||||
{header}
|
||||
</th>
|
||||
))}
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{data.map((row, rowIndex) => (
|
||||
<tr key={rowIndex} className="bg-white">
|
||||
{columns.map((header) => (
|
||||
<td
|
||||
key={`${rowIndex}-${header}`}
|
||||
className="min-w-[120px] border-b border-slate-200 px-3 py-2">
|
||||
<span className="block overflow-hidden text-ellipsis whitespace-nowrap">
|
||||
{row[header] ?? ""}
|
||||
</span>
|
||||
</td>
|
||||
))}
|
||||
</tr>
|
||||
<div
|
||||
className="sticky top-0 z-10 grid gap-2 border-b-2 border-slate-100 bg-slate-100 px-3 py-2 text-left"
|
||||
style={{ gridTemplateColumns: `repeat(${columns.length}, minmax(100px, 1fr))` }}>
|
||||
{columns.map((header, index) => (
|
||||
<span
|
||||
key={index}
|
||||
className="overflow-hidden text-ellipsis whitespace-nowrap text-xs font-semibold capitalize leading-tight">
|
||||
{header.replace(/_/g, " ")}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
|
||||
{data.map((row, rowIndex) => (
|
||||
<div
|
||||
key={rowIndex}
|
||||
className="grid gap-2 border-b border-gray-200 bg-white px-3 py-2 text-left leading-tight last:border-b-0"
|
||||
style={{ gridTemplateColumns: `repeat(${columns.length}, minmax(100px, 1fr))` }}>
|
||||
{columns.map((header, colIndex) => (
|
||||
<span key={colIndex} className="overflow-hidden text-ellipsis whitespace-nowrap text-xs">
|
||||
{row[header]}
|
||||
</span>
|
||||
))}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user