+
{{ dataset.workspaceName }}
diff --git a/argilla-frontend/components/features/home/dataset-list/DatasetList.vue b/argilla-frontend/components/features/home/dataset-list/DatasetList.vue
index 93723f941f..66d322ef34 100644
--- a/argilla-frontend/components/features/home/dataset-list/DatasetList.vue
+++ b/argilla-frontend/components/features/home/dataset-list/DatasetList.vue
@@ -48,10 +48,10 @@ export default {
return {
querySearch: "",
sortedOrder: "desc",
- sortedByField: "updatedAt",
+ sortedByField: "lastActivityAt",
sortOptions: [
{ value: "name", label: this.$t("home.name") },
- { value: "updatedAt", label: this.$t("home.updatedAt") },
+ { value: "lastActivityAt", label: this.$t("home.updatedAt") },
{ value: "createdAt", label: this.$t("home.createdAt") },
],
selectedWorkspaces: [],
diff --git a/argilla-frontend/dev.frontend.Dockerfile b/argilla-frontend/dev.frontend.Dockerfile
index d268ae7b02..ce7ea87954 100644
--- a/argilla-frontend/dev.frontend.Dockerfile
+++ b/argilla-frontend/dev.frontend.Dockerfile
@@ -14,6 +14,7 @@ WORKDIR /home/argilla/frontend
COPY --chown=argilla:argilla dist ./dist
COPY --chown=argilla:argilla .nuxt ./.nuxt
COPY --chown=argilla:argilla package.json ./package.json
+COPY --chown=argilla:argilla package-lock.json ./package-lock.json
COPY --chown=argilla:argilla nuxt.config.ts ./nuxt.config.ts
# NOTE: Right now this Docker image is using dev.argilla.io as server.
diff --git a/argilla-frontend/nuxt.config.ts b/argilla-frontend/nuxt.config.ts
index ece2d5dd31..d5cecb4c04 100644
--- a/argilla-frontend/nuxt.config.ts
+++ b/argilla-frontend/nuxt.config.ts
@@ -53,7 +53,7 @@ const config: NuxtConfig = {
},
// Global CSS (https://go.nuxtjs.dev/config-css)
- css: ["~assets/scss/base/base.scss"],
+ css: ["~assets/styles.scss"],
// Plugins to run before rendering page (https://go.nuxtjs.dev/config-plugins)
plugins: [{ src: "~/plugins" }],
@@ -73,7 +73,23 @@ const config: NuxtConfig = {
// https://go.nuxtjs.dev/typescript
"@nuxt/typescript-build",
"@nuxtjs/composition-api/module",
- ["@pinia/nuxt", { disableVuex: false }],
+ [
+ "@pinia/nuxt",
+ {
+ disableVuex: false,
+ },
+ ],
+ [
+ "nuxt-compress",
+ {
+ gzip: {
+ cache: true,
+ },
+ brotli: {
+ threshold: 10240,
+ },
+ },
+ ],
],
// Modules (https://go.nuxtjs.dev/config-modules)
@@ -128,11 +144,12 @@ const config: NuxtConfig = {
"/api/": {
target: BASE_URL,
},
+ "/share-your-progress": {
+ target: BASE_URL,
+ },
},
-
// Build Configuration (https://go.nuxtjs.dev/config-build)
build: {
- cssSourceMap: false,
extend(config) {
config.resolve.alias.vue = "vue/dist/vue.common";
config.module.rules.push({
@@ -143,6 +160,26 @@ const config: NuxtConfig = {
},
});
},
+ postcss: {
+ postcssOptions: {
+ order: "presetEnvAndCssnanoLast",
+ plugins: {
+ cssnano:
+ process.env.NODE_ENV === "production"
+ ? {
+ preset: [
+ "default",
+ {
+ discardComments: {
+ removeAll: true,
+ },
+ },
+ ],
+ }
+ : false,
+ },
+ },
+ },
babel: {
plugins: [["@babel/plugin-proposal-private-methods", { loose: true }]],
},
@@ -152,6 +189,16 @@ const config: NuxtConfig = {
keep_fnames: true,
},
},
+ extractCSS: true,
+ optimization: {
+ splitChunks: {
+ name: false,
+ },
+ },
+ filenames: {
+ css: ({ isDev }) => (isDev ? "[name].css" : "[contenthash].css"),
+ },
+ publicPath: "/_nuxt/",
},
// https://github.com/nuxt-community/style-resources-module
diff --git a/argilla-frontend/package-lock.json b/argilla-frontend/package-lock.json
new file mode 100644
index 0000000000..f5bf921a50
--- /dev/null
+++ b/argilla-frontend/package-lock.json
@@ -0,0 +1,29832 @@
+{
+ "name": "argilla",
+ "version": "2.7.0dev0",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "argilla",
+ "version": "2.7.0dev0",
+ "dependencies": {
+ "@codescouts/events": "1.0.10",
+ "@nuxtjs/auth-next": "5.0.0-1613647907.37b1156",
+ "@nuxtjs/axios": "5.13.6",
+ "@nuxtjs/composition-api": "0.33.1",
+ "@nuxtjs/i18n": "7.3.1",
+ "@nuxtjs/style-resources": "^1.0.0",
+ "@pinia/nuxt": "^0.2.1",
+ "axios": "1.6.8",
+ "core-js": "3.37.1",
+ "dompurify": "3.1.3",
+ "frontmatter-markdown-loader": "3.7.0",
+ "marked": "5.1.2",
+ "marked-highlight": "2.1.1",
+ "marked-katex-extension": "5.0.2",
+ "nuxt": "2.18.1",
+ "nuxt-highlightjs": "1.0.3",
+ "pinia": "2.1.7",
+ "sass": "1.77.1",
+ "ts-injecty": "0.0.22",
+ "v-click-outside": "3.2.0",
+ "vue": "2.7.16",
+ "vue-demi": "0.14.10",
+ "vue-svgicon": "3.3.2",
+ "vue-template-compiler": "2.7.16",
+ "vuedraggable": "2.24.3"
+ },
+ "devDependencies": {
+ "@babel/core": "7.25.2",
+ "@babel/eslint-parser": "7.24.8",
+ "@babel/preset-env": "7.24.5",
+ "@babel/preset-typescript": "7.24.1",
+ "@codescouts/test": "1.0.8",
+ "@intlify/eslint-plugin-vue-i18n": "2.0.0",
+ "@nuxt/types": "2.18.1",
+ "@nuxt/typescript-build": "2.1.0",
+ "@nuxtjs/eslint-config-typescript": "12.1.0",
+ "@playwright/test": "1.49.0",
+ "@types/jest": "27.5.2",
+ "@typescript-eslint/eslint-plugin": "5.62.0",
+ "@typescript-eslint/parser": "5.62.0",
+ "@vue/test-utils": "1.3.6",
+ "babel-core": "7.0.0-bridge.0",
+ "cross-env": "7.0.3",
+ "eslint": "8.57.1",
+ "eslint-config-prettier": "7.2.0",
+ "eslint-plugin-nuxt": "3.2.0",
+ "eslint-plugin-prettier": "3.4.1",
+ "eslint-plugin-vue": "8.7.1",
+ "jest": "27.5.1",
+ "jest-serializer-vue": "2.0.2",
+ "jest-transform-stub": "2.0.0",
+ "nuxt-compress": "5.0.0",
+ "prettier": "2.8.8",
+ "sass-loader": "10.5.2",
+ "typescript": "5.7.2",
+ "vue-jest": "3.0.7"
+ }
+ },
+ "node_modules/@ampproject/remapping": {
+ "version": "2.3.0",
+ "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
+ "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
+ "dependencies": {
+ "@jridgewell/gen-mapping": "^0.3.5",
+ "@jridgewell/trace-mapping": "^0.3.24"
+ },
+ "engines": {
+ "node": ">=6.0.0"
+ }
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+ "node_modules/@babel/code-frame": {
+ "version": "7.26.2",
+ "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz",
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+ "dependencies": {
+ "@babel/helper-validator-identifier": "^7.25.9",
+ "js-tokens": "^4.0.0",
+ "picocolors": "^1.0.0"
+ },
+ "engines": {
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+ "node_modules/@babel/compat-data": {
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+ "gensync": "^1.0.0-beta.2",
+ "json5": "^2.2.3",
+ "semver": "^6.3.1"
+ },
+ "engines": {
+ "node": ">=6.9.0"
+ },
+ "funding": {
+ "type": "opencollective",
+ "url": "https://opencollective.com/babel"
+ }
+ },
+ "node_modules/@babel/eslint-parser": {
+ "version": "7.24.8",
+ "resolved": "https://registry.npmjs.org/@babel/eslint-parser/-/eslint-parser-7.24.8.tgz",
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+ "dependencies": {
+ "@nicolo-ribaudo/eslint-scope-5-internals": "5.1.1-v1",
+ "eslint-visitor-keys": "^2.1.0",
+ "semver": "^6.3.1"
+ },
+ "engines": {
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+ },
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+ "camelcase": "^5.0.0",
+ "decamelize": "^1.2.0"
+ },
+ "engines": {
+ "node": ">=6"
+ }
+ },
+ "node_modules/yargs/node_modules/find-up": {
+ "version": "4.1.0",
+ "resolved": "https://registry.npmjs.org/find-up/-/find-up-4.1.0.tgz",
+ "integrity": "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==",
+ "dependencies": {
+ "locate-path": "^5.0.0",
+ "path-exists": "^4.0.0"
+ },
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/yargs/node_modules/locate-path": {
+ "version": "5.0.0",
+ "resolved": "https://registry.npmjs.org/locate-path/-/locate-path-5.0.0.tgz",
+ "integrity": "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g==",
+ "dependencies": {
+ "p-locate": "^4.1.0"
+ },
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/yargs/node_modules/p-limit": {
+ "version": "2.3.0",
+ "resolved": "https://registry.npmjs.org/p-limit/-/p-limit-2.3.0.tgz",
+ "integrity": "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w==",
+ "dependencies": {
+ "p-try": "^2.0.0"
+ },
+ "engines": {
+ "node": ">=6"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ },
+ "node_modules/yargs/node_modules/p-locate": {
+ "version": "4.1.0",
+ "resolved": "https://registry.npmjs.org/p-locate/-/p-locate-4.1.0.tgz",
+ "integrity": "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A==",
+ "dependencies": {
+ "p-limit": "^2.2.0"
+ },
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/yocto-queue": {
+ "version": "0.1.0",
+ "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+ "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+ "engines": {
+ "node": ">=10"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ },
+ "node_modules/yoctocolors-cjs": {
+ "version": "2.1.2",
+ "resolved": "https://registry.npmjs.org/yoctocolors-cjs/-/yoctocolors-cjs-2.1.2.tgz",
+ "integrity": "sha512-cYVsTjKl8b+FrnidjibDWskAv7UKOfcwaVZdp/it9n1s9fU3IkgDbhdIRKCW4JDsAlECJY0ytoVPT3sK6kideA==",
+ "dev": true,
+ "optional": true,
+ "peer": true,
+ "engines": {
+ "node": ">=18"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ }
+ }
+}
diff --git a/argilla-frontend/package.json b/argilla-frontend/package.json
index d3171965e1..10262e5a2d 100644
--- a/argilla-frontend/package.json
+++ b/argilla-frontend/package.json
@@ -1,6 +1,6 @@
{
"name": "argilla",
- "version": "2.6.0dev0",
+ "version": "2.7.0dev0",
"private": true,
"scripts": {
"dev": "nuxt",
@@ -21,62 +21,61 @@
"test:watch": "jest --colors --watchAll"
},
"dependencies": {
- "@codescouts/events": "^1.0.2",
+ "@codescouts/events": "1.0.10",
"@nuxtjs/auth-next": "5.0.0-1613647907.37b1156",
- "@nuxtjs/axios": "^5.12.5",
- "@nuxtjs/composition-api": "^0.33.1",
- "@nuxtjs/i18n": "^7.3.1",
+ "@nuxtjs/axios": "5.13.6",
+ "@nuxtjs/composition-api": "0.33.1",
+ "@nuxtjs/i18n": "7.3.1",
"@nuxtjs/style-resources": "^1.0.0",
"@pinia/nuxt": "^0.2.1",
- "@vuex-orm/core": "^0.36.4",
- "axios": "^1.4.0",
- "core-js": "^3.6.5",
- "dompurify": "^3.0.3",
- "frontmatter-markdown-loader": "^3.7.0",
- "marked": "^5.0.3",
- "marked-highlight": "^2.0.1",
- "marked-katex-extension": "^5.0.2",
- "nuxt": "^2.15.8",
- "nuxt-highlightjs": "^1.0.2",
- "pinia": "^2.1.4",
- "sass": "^1.49.9",
- "ts-injecty": "^0.0.22",
- "v-click-outside": "^3.1.2",
- "vue": "^2.7.14",
- "vue-demi": "^0.14.5",
- "vue-svgicon": "^3.2.9",
- "vue-template-compiler": "^2.6.14",
- "vuedraggable": "^2.24.3",
- "vuex": "^3.1.3"
+ "axios": "1.6.8",
+ "core-js": "3.37.1",
+ "dompurify": "3.1.3",
+ "frontmatter-markdown-loader": "3.7.0",
+ "marked": "5.1.2",
+ "marked-highlight": "2.1.1",
+ "marked-katex-extension": "5.0.2",
+ "nuxt": "2.18.1",
+ "nuxt-highlightjs": "1.0.3",
+ "pinia": "2.1.7",
+ "sass": "1.77.1",
+ "ts-injecty": "0.0.22",
+ "v-click-outside": "3.2.0",
+ "vue": "2.7.16",
+ "vue-demi": "0.14.10",
+ "vue-svgicon": "3.3.2",
+ "vue-template-compiler": "2.7.16",
+ "vuedraggable": "2.24.3"
},
"devDependencies": {
- "@babel/core": "^7.22.0",
- "@babel/eslint-parser": "^7.15.0",
- "@babel/preset-env": "^7.15.0",
- "@babel/preset-typescript": "^7.22.5",
- "@codescouts/test": "^1.0.7",
- "@intlify/eslint-plugin-vue-i18n": "^2.0.0",
- "@nuxt/types": "^2.15.8",
- "@nuxt/typescript-build": "^2.1.0",
- "@nuxtjs/eslint-config-typescript": "^12.0.0",
- "@playwright/test": "^1.35.1",
- "@types/jest": "^27.5.2",
- "@typescript-eslint/eslint-plugin": "^5.60.1",
- "@typescript-eslint/parser": "^5.60.1",
- "@vue/test-utils": "~1.3.0",
- "babel-core": "^7.0.0-bridge.0",
- "cross-env": "^7.0.3",
- "eslint": "^8.43.0",
- "eslint-config-prettier": "^7.1.0",
- "eslint-plugin-nuxt": "^3.1.0",
- "eslint-plugin-prettier": "^3.3.1",
- "eslint-plugin-vue": "^8.2.0",
- "jest": "^27.4.5",
- "jest-serializer-vue": "^2.0.2",
- "jest-transform-stub": "^2.0.0",
- "prettier": "^2.2.1",
- "sass-loader": "^10.1.0",
- "typescript": "^5.1.6",
- "vue-jest": "^3.0.7"
+ "@babel/core": "7.25.2",
+ "@babel/eslint-parser": "7.24.8",
+ "@babel/preset-env": "7.24.5",
+ "@babel/preset-typescript": "7.24.1",
+ "@codescouts/test": "1.0.8",
+ "@intlify/eslint-plugin-vue-i18n": "2.0.0",
+ "@nuxt/types": "2.18.1",
+ "@nuxt/typescript-build": "2.1.0",
+ "@nuxtjs/eslint-config-typescript": "12.1.0",
+ "@playwright/test": "1.49.0",
+ "@types/jest": "27.5.2",
+ "@typescript-eslint/eslint-plugin": "5.62.0",
+ "@typescript-eslint/parser": "5.62.0",
+ "@vue/test-utils": "1.3.6",
+ "babel-core": "7.0.0-bridge.0",
+ "cross-env": "7.0.3",
+ "eslint": "8.57.1",
+ "eslint-config-prettier": "7.2.0",
+ "eslint-plugin-nuxt": "3.2.0",
+ "eslint-plugin-prettier": "3.4.1",
+ "eslint-plugin-vue": "8.7.1",
+ "jest": "27.5.1",
+ "jest-serializer-vue": "2.0.2",
+ "jest-transform-stub": "2.0.0",
+ "nuxt-compress": "5.0.0",
+ "prettier": "2.8.8",
+ "sass-loader": "10.5.2",
+ "typescript": "5.7.2",
+ "vue-jest": "3.0.7"
}
}
diff --git a/argilla-frontend/pages/dataset/_id/annotation-mode/index.vue b/argilla-frontend/pages/dataset/_id/annotation-mode/index.vue
index 31f4a01987..593fe8a047 100644
--- a/argilla-frontend/pages/dataset/_id/annotation-mode/index.vue
+++ b/argilla-frontend/pages/dataset/_id/annotation-mode/index.vue
@@ -10,11 +10,15 @@
:showSettingButton="true"
:showCopyButton="true"
>
-
+
+
diff --git a/argilla-frontend/pages/dataset/_id/annotation-mode/useAnnotationModeViewModel.ts b/argilla-frontend/pages/dataset/_id/annotation-mode/useAnnotationModeViewModel.ts
index f553303113..1d5f7e7772 100644
--- a/argilla-frontend/pages/dataset/_id/annotation-mode/useAnnotationModeViewModel.ts
+++ b/argilla-frontend/pages/dataset/_id/annotation-mode/useAnnotationModeViewModel.ts
@@ -9,14 +9,13 @@ import { useDatasetViewModel } from "../useDatasetViewModel";
import { GetDatasetByIdUseCase } from "@/v1/domain/usecases/get-dataset-by-id-use-case";
import { useDataset } from "@/v1/infrastructure/storage/DatasetStorage";
import { RecordCriteria } from "~/v1/domain/entities/record/RecordCriteria";
-import { useRoutes, useUser, useRole } from "~/v1/infrastructure/services";
+import { useRoutes, useUser } from "~/v1/infrastructure/services";
import { RecordStatus } from "~/v1/domain/entities/record/RecordAnswer";
export const useAnnotationModeViewModel = () => {
- const { isAdminOrOwner } = useRole();
const router = useRouter();
const routes = useRoutes();
- const { getUser } = useUser();
+ const { user } = useUser();
const { state: dataset } = useDataset();
const getDatasetUseCase = useResolve(GetDatasetByIdUseCase);
@@ -113,7 +112,6 @@ export const useAnnotationModeViewModel = () => {
datasetId,
breadcrumbs,
updateQueryParams,
- getUser,
- isAdminOrOwner,
+ user,
};
};
diff --git a/argilla-frontend/pages/dataset/_id/settings.vue b/argilla-frontend/pages/dataset/_id/settings.vue
index b2b9068386..29631c33cb 100644
--- a/argilla-frontend/pages/dataset/_id/settings.vue
+++ b/argilla-frontend/pages/dataset/_id/settings.vue
@@ -53,7 +53,7 @@ export default {
};
-
+
+
diff --git a/argilla-frontend/pages/oauth/_provider/useOAuthViewModel.ts b/argilla-frontend/pages/oauth/_provider/useOAuthViewModel.ts
index 1cbb722af7..74f2a09962 100644
--- a/argilla-frontend/pages/oauth/_provider/useOAuthViewModel.ts
+++ b/argilla-frontend/pages/oauth/_provider/useOAuthViewModel.ts
@@ -22,7 +22,7 @@ export const useOAuthViewModel = () => {
});
const redirect = () => {
- const redirect = pop("redirectTo");
+ const redirect = pop
("redirectTo");
router.go(redirect || "/");
};
diff --git a/argilla-frontend/pages/useSignInViewModel.ts b/argilla-frontend/pages/useSignInViewModel.ts
index b2d5f6f2ee..58742badf6 100644
--- a/argilla-frontend/pages/useSignInViewModel.ts
+++ b/argilla-frontend/pages/useSignInViewModel.ts
@@ -10,7 +10,7 @@ export const useSignInViewModel = () => {
const { pop } = useLocalStorage();
const redirect = () => {
- const redirect = pop("redirectTo");
+ const redirect = pop("redirectTo");
router.go(redirect || "/");
};
diff --git a/argilla-frontend/pages/welcome-hf-sign-in.vue b/argilla-frontend/pages/welcome-hf-sign-in.vue
index b965908454..9edc9c94d8 100644
--- a/argilla-frontend/pages/welcome-hf-sign-in.vue
+++ b/argilla-frontend/pages/welcome-hf-sign-in.vue
@@ -1,6 +1,6 @@
-
+
diff --git a/argilla-frontend/plugins/axios/axios-global-handler.ts b/argilla-frontend/plugins/axios/axios-global-handler.ts
index 58ec236368..6c3c6fd0fe 100644
--- a/argilla-frontend/plugins/axios/axios-global-handler.ts
+++ b/argilla-frontend/plugins/axios/axios-global-handler.ts
@@ -15,57 +15,9 @@
* limitations under the License.
*/
-import { AxiosError } from "axios";
-import { useNotifications } from "~/v1/infrastructure/services/useNotifications";
+import { Context } from "@nuxt/types";
+import { loadErrorHandler } from "~/v1/infrastructure/repositories/AxiosErrorHandler";
-type BackendError = {
- detail:
- | {
- params: {
- detail: string;
- };
- }
- | string;
- code?: string;
- message?: string;
-};
-
-export default ({ $axios, app }) => {
- const notification = useNotifications();
-
- $axios.onError((error: AxiosError
) => {
- const { status, data } = error.response ?? {};
- const t = (key: string) => app.i18n.t(key);
-
- notification.clear();
-
- const errorHandledKey = `validations.http.${status}.message`;
- const handledTranslatedError = t(errorHandledKey);
-
- if (handledTranslatedError !== errorHandledKey) {
- notification.notify({
- message: handledTranslatedError,
- type: "danger",
- });
- }
-
- if (data.code) {
- const errorHandledKey = `validations.businessLogic.${data.code}.message`;
- const handledTranslatedError = t(errorHandledKey);
-
- if (handledTranslatedError !== errorHandledKey) {
- notification.notify({
- message: handledTranslatedError,
- type: "danger",
- });
- }
- } else if (data.detail && typeof data.detail === "string") {
- notification.notify({
- message: data.detail.toString(),
- type: "danger",
- });
- }
-
- throw error;
- });
+export default (context: Context) => {
+ loadErrorHandler(context);
};
diff --git a/argilla-frontend/plugins/directives/tooltip.directive.ts b/argilla-frontend/plugins/directives/tooltip.directive.ts
index cc666bed17..cbcd0c5f7a 100644
--- a/argilla-frontend/plugins/directives/tooltip.directive.ts
+++ b/argilla-frontend/plugins/directives/tooltip.directive.ts
@@ -1,319 +1,22 @@
-/* eslint-disable */
import Vue from "vue";
-
-type Element = HTMLElement & {
- textWrapper: HTMLElement;
- openTooltip: () => void;
- closeTooltip: () => void;
- clickOnTooltipElementEvent: () => void;
- clickOnClose: (event: Event) => void;
- clickOutsideEvent: (event: Event) => void;
- scrollInParent: () => void;
- resize: () => void;
-};
-
-// NOTE - to use tooltip directive, add to your html element where to put a tooltip :
-// v-tooltip="{ content: tooltipMessage, tooltipPosition: 'bottom' }"
-// => content (String) the message to show in the tooltip
-// TODO - implement the other tooltip direction top/right/left
+import BaseFixedTooltip from "@/components/base/base-tooltip/BaseFixedTooltip.vue";
Vue.directive("tooltip", {
- inserted: (
- element: Element,
- binding: {
- value: {
- open: any;
- content: string;
- color: string;
- width: number;
- tooltipPosition: string;
- };
- }
- ) => {
- const tooltipId = `${element.id}tooltip`;
- const tooltipCloseIconId = `${tooltipId}__close-icon`;
- let tooltip = null;
- let closeIcon = null;
- element.style.position = "relative";
- element.style.cursor = "pointer";
- let elementOffset = initElementOffset(element);
- const {
- content,
- color,
- width = content.length < 40 ? 100 : 400,
- tooltipPosition = TOOLTIP_DIRECTION.BOTTOM,
- } = binding.value;
-
- if (content?.length) {
- // NOTE - init tooltip node
- tooltip = document.createElement("div");
- tooltip.setAttribute("id", tooltipId);
-
- // NOTE - init text node
- const text = document.createTextNode(`${content}`);
- let textWrapper = document.createElement("span");
- textWrapper.appendChild(text);
-
- // NOTE - init close icon
- let tooltipHeader = document.createElement("div");
- tooltipHeader = initTooltipHeaderStyle(tooltipHeader);
- (tooltipHeader.firstChild as HTMLElement).setAttribute(
- "id",
- tooltipCloseIconId
- );
-
- // NOTE - triangle
- let tooltipTriangle = document.createElement("div");
- tooltipTriangle = initTooltipTriangleStyle(tooltipTriangle);
- let tooltipTriangleInner = document.createElement("div");
- tooltipTriangleInner =
- initTooltipTriangleInnerStyle(tooltipTriangleInner);
-
- // NOTE - include close icon and text node inside tooltip
- tooltip.appendChild(tooltipHeader);
- tooltip.appendChild(tooltipTriangle);
- tooltip.appendChild(textWrapper);
- tooltipTriangle.appendChild(tooltipTriangleInner);
-
- // NOTE - text styles
- textWrapper = initTextStyle(textWrapper);
-
- // NOTE - tooltip styles
- tooltip = initTooltipStyle(tooltip, width);
-
- // NOTE - init tooltip position
- tooltip = initTooltipPosition(tooltip, tooltipPosition, elementOffset);
-
- // NOTE - add the tooltip to the element and add event listener to the close icon
- element.appendChild(tooltip);
- element.textWrapper = textWrapper;
- closeIcon = document.getElementById(tooltipCloseIconId);
- }
-
- element.openTooltip = () => {
- tooltip.style.display = "flex";
- tooltip.setAttribute("tooltip-visible", "true");
- elementOffset = initElementOffset(element);
- tooltip = initTooltipPosition(tooltip, tooltipPosition, elementOffset);
- };
-
- element.closeTooltip = () => {
- tooltip.style.display = "none";
- tooltip.setAttribute("tooltip-visible", "false");
- };
-
- element.clickOnTooltipElementEvent = () => {
- if (tooltip.getAttribute("tooltip-visible") === "true") {
- return element.closeTooltip();
- }
-
- element.openTooltip();
- };
-
- element.clickOnClose = (event) => {
- event.stopPropagation();
- element.closeTooltip();
- };
-
- element.clickOutsideEvent = function (event) {
- if (
- !(element == event.target || element.contains(event.target as Node))
- ) {
- element.closeTooltip();
- }
- };
- element.scrollInParent = function () {
- const { top: parentOffsetTop = 0, bottom: parentOffsetBottom = 0 } =
- initElementOffset(getScrollableParent(element)) || {};
- if (
- elementOffset.top < parentOffsetTop ||
- elementOffset.bottom > parentOffsetBottom
- ) {
- tooltip.style.visibility = "hidden";
- } else {
- tooltip.style.visibility = "visible";
- }
- elementOffset = initElementOffset(element);
- tooltip = initTooltipPosition(tooltip, tooltipPosition, elementOffset);
- };
-
- element.resize = function () {
- elementOffset = initElementOffset(element);
- tooltip = initTooltipPosition(tooltip, tooltipPosition, elementOffset);
- };
-
- // NOTE - init all eventListeners
- initEventsListener(element, closeIcon);
-
- if (binding?.value.open) element.clickOnTooltipElementEvent();
- },
- unbind: (element) => {
- destroyEventsListener(element);
- },
- update(element, binding) {
- element.textWrapper.innerText = binding?.value.content;
-
- if (binding?.value.open) {
- element.openTooltip();
- } else {
- element.closeTooltip();
- }
+ bind: (element, binding) => {
+ const tooltipDiv = new Vue({
+ render(h) {
+ return h(BaseFixedTooltip, {
+ props: {
+ content: binding.value.content,
+ top: this.top,
+ left: this.left,
+ open: binding.value.open,
+ triggerElement: element,
+ },
+ });
+ },
+ }).$mount();
+
+ document.body.appendChild(tooltipDiv.$el);
},
});
-const isScrollable = function (element) {
- const hasScrollableContent = element.scrollHeight > element.clientHeight;
-
- const overflowYStyle = window.getComputedStyle(element).overflowY;
- const isOverflowHidden = overflowYStyle.includes("hidden");
-
- return hasScrollableContent && !isOverflowHidden;
-};
-
-const initElementOffset = function (element) {
- return element.getBoundingClientRect() || null;
-};
-const getScrollableParent = function (element) {
- return !element || element === document.body
- ? document.body
- : getElementOrParent(element);
-};
-const getElementOrParent = function (element) {
- return isScrollable(element)
- ? element
- : getScrollableParent(element.parentNode);
-};
-const initEventsListener = (element, closeIcon) => {
- if (element && closeIcon) {
- closeIcon.addEventListener("click", element.clickOnClose);
- element.addEventListener("click", element.clickOnTooltipElementEvent);
- document.body.addEventListener("click", element.clickOutsideEvent);
- getScrollableParent(element).addEventListener(
- "scroll",
- element.scrollInParent
- );
- window.addEventListener("resize", element.resize);
- }
-};
-
-const destroyEventsListener = (element) => {
- document.body.removeEventListener(
- "click",
- element.clickOnTooltipElementEvent
- );
- document.body.removeEventListener(
- "touchstart",
- element.clickOnTooltipElementEvent
- );
- document.body.removeEventListener("click", element.clickOutsideEvent);
- document.body.removeEventListener("touchstart", element.clickOutsideEvent);
- document.body.removeEventListener("click", element.clickOnClose);
- document.body.removeEventListener("touchstart", element.clickOnClose);
- getScrollableParent(element).removeEventListener(
- "scroll",
- element.scrollInParent
- );
- window.removeEventListener("resize", element.resize);
-};
-
-const initTooltipStyle = (tooltip, width) => {
- tooltip.style.position = "fixed";
- tooltip.style.width = `${width}px`;
- tooltip.style.display = "none";
- tooltip.style.flexDirection = "column";
- tooltip.style.zIndex = "99999";
- tooltip.style.backgroundColor = "var(--bg-accent-grey-2)";
- tooltip.style.borderRadius = "5px";
- tooltip.style.padding = "20px 8px 8px 8px";
- tooltip.style.boxShadow = "0 8px 20px 0 rgba(0,0,0,.2)";
- tooltip.style.transition = "opacity 0.3s ease 0.2s";
- tooltip.style.border = "2px transparent solid";
- tooltip.style.cursor = "default";
- return tooltip;
-};
-const initTooltipHeaderStyle = (tooltipHeader) => {
- tooltipHeader.style.position = "absolute";
- tooltipHeader.style.top = "4px";
- tooltipHeader.style.right = "4px";
- tooltipHeader.innerHTML =
- ' ';
- return tooltipHeader;
-};
-
-const initTooltipTriangleStyle = (tooltipTriangle) => {
- tooltipTriangle.setAttribute("class", "triangle");
- tooltipTriangle.style.position = "absolute";
- return tooltipTriangle;
-};
-const initTooltipTriangleInnerStyle = (tooltipTriangleInner) => {
- tooltipTriangleInner.style.position = "relative";
- tooltipTriangleInner.style.width = "0";
- tooltipTriangleInner.style.height = "0";
- tooltipTriangleInner.style.borderBottom =
- "10px solid var(--bg-accent-grey-2)";
- tooltipTriangleInner.style.borderRight = "10px solid transparent";
- tooltipTriangleInner.style.borderLeft = "10px solid transparent";
- return tooltipTriangleInner;
-};
-
-const initTooltipPosition = (tooltip, tooltipPosition, elementOffset) => {
- const tooltipOffset = initElementOffset(tooltip);
- const tooltipTriangle = tooltip.querySelector(".triangle");
- const tooltipTriangleOffset = initElementOffset(tooltipTriangle);
- const margin = 8;
- const rightSideOutOfViewport =
- window.innerWidth <= elementOffset.right + tooltipOffset.width / 2;
- const bottomSideoutOfViewport =
- window.innerHeight <= elementOffset.bottom + tooltipOffset.height;
- switch (tooltipPosition.toUpperCase()) {
- case TOOLTIP_DIRECTION.BOTTOM:
- tooltip.style.left = rightSideOutOfViewport
- ? `${
- elementOffset.left -
- tooltipOffset.width +
- elementOffset.width +
- tooltipTriangleOffset.width
- }px`
- : `${
- elementOffset.left -
- tooltipOffset.width / 2 +
- elementOffset.width / 2
- }px`;
- tooltipTriangle.style.left = rightSideOutOfViewport ? "100%" : "50%";
- tooltipTriangle.style.marginLeft = rightSideOutOfViewport
- ? `-${tooltipTriangleOffset.width * 2}px`
- : `-${tooltipTriangleOffset.width / 2}px`;
-
- tooltip.style.top = bottomSideoutOfViewport
- ? `${elementOffset.y - tooltipOffset.height - margin}px`
- : `${elementOffset.y + elementOffset.height + margin}px`;
-
- tooltipTriangle.style.transform = bottomSideoutOfViewport
- ? "rotateX(180deg)"
- : "";
- tooltipTriangle.style.top = bottomSideoutOfViewport
- ? "100%"
- : `-${tooltipTriangleOffset.height}px`;
- break;
- default:
- // tooltip direction is unknown
- }
-
- return tooltip;
-};
-
-const initTextStyle = (textWrapper) => {
- textWrapper.style.textAlign = "left";
- textWrapper.style.fontSize = "13px";
- textWrapper.style.fontStyle = "normal";
- textWrapper.style.fontWeight = "300";
- textWrapper.style.lineHeight = "18px";
- textWrapper.style.whiteSpace = "pre-wrap";
- textWrapper.style.overflow = "auto";
- textWrapper.style.maxHeight = "360px";
- textWrapper.style.color = "var(--fg-primary)";
- return textWrapper;
-};
-
-const TOOLTIP_DIRECTION = Object.freeze({
- BOTTOM: "BOTTOM",
-});
diff --git a/argilla-frontend/plugins/extensions/copy-to-clipboard.ts b/argilla-frontend/plugins/extensions/copy-to-clipboard.ts
index 9f3826a46c..4d2dabd6bc 100644
--- a/argilla-frontend/plugins/extensions/copy-to-clipboard.ts
+++ b/argilla-frontend/plugins/extensions/copy-to-clipboard.ts
@@ -15,30 +15,10 @@
* limitations under the License.
*/
-export default (_, inject) => {
- const unsecuredCopyToClipboard = (text) => {
- const textArea = document.createElement("textarea");
- textArea.value = text;
- document.body.appendChild(textArea);
- textArea.focus();
- textArea.select();
- try {
- document.execCommand("copy");
- } catch (err) {
- // eslint-disable-next-line no-console
- console.error("Unable to copy to clipboard", err);
- }
-
- document.body.removeChild(textArea);
- };
+import { useClipboard } from "~/v1/infrastructure/services/useClipboard";
- const copyToClipboard = function (text) {
- if (window.isSecureContext && navigator.clipboard) {
- navigator.clipboard.writeText(text);
- } else {
- unsecuredCopyToClipboard(text);
- }
- };
+export default (_, inject) => {
+ const { copy } = useClipboard();
- inject("copyToClipboard", copyToClipboard);
+ inject("copyToClipboard", copy);
};
diff --git a/argilla-frontend/assets/fonts/raptorv2premium-bold-webfont.woff b/argilla-frontend/static/fonts/raptorv2premium-bold-webfont.woff
similarity index 100%
rename from argilla-frontend/assets/fonts/raptorv2premium-bold-webfont.woff
rename to argilla-frontend/static/fonts/raptorv2premium-bold-webfont.woff
diff --git a/argilla-frontend/assets/fonts/raptorv2premium-bold-webfont.woff2 b/argilla-frontend/static/fonts/raptorv2premium-bold-webfont.woff2
similarity index 100%
rename from argilla-frontend/assets/fonts/raptorv2premium-bold-webfont.woff2
rename to argilla-frontend/static/fonts/raptorv2premium-bold-webfont.woff2
diff --git a/argilla-frontend/static/icons/export.svg b/argilla-frontend/static/icons/export.svg
new file mode 100644
index 0000000000..a72c56ec49
--- /dev/null
+++ b/argilla-frontend/static/icons/export.svg
@@ -0,0 +1,4 @@
+
+
+
+
diff --git a/argilla-frontend/translation/de.js b/argilla-frontend/translation/de.js
index 22973a098f..a27b6f0566 100644
--- a/argilla-frontend/translation/de.js
+++ b/argilla-frontend/translation/de.js
@@ -23,6 +23,7 @@ export default {
description: "Beschreibung",
labels: "Labels",
order: "Reihenfolge",
+ owner: "Owner",
useMarkdown: "Verwende Markdown",
suggestionFirst: "Vorschlag zuerst",
visibleForAnnotators: "Sichtbar für Annotatoren",
@@ -44,6 +45,7 @@ export default {
optional: "Optional",
template: "Template",
rows: "zeilen",
+ datasetName: "Dataset name",
noRecordsMessages: {
datasetEmptyForAnnotator:
"Der Datensatz ist leer. Bitten Sie einen Administrator, Daten hochzuladen, und versuchen Sie es später erneut.",
@@ -324,6 +326,23 @@ export default {
noWorkspaces:
"Bitte folgen Sie der Anleitung , um einen Workspace zu erstellen",
},
+ exportToHub: {
+ dialogTitle: "Drücken",
+ ownerTooltip:
+ "Verwenden Sie einen gültigen Hugging Face-Benutzernamen oder eine Organisation",
+ tokenTooltip: `Verwenden Sie ein vorhandenes Zugriffstoken oder erstellen Sie ein neues Token mit "Schreibberechtigung"`,
+ validations: {
+ orgOrUsernameIsRequired:
+ "Organisation oder Benutzername sind erforderlich",
+ hfTokenIsRequired: "Umarmen des Gesichts -Tokens ist erforderlich ",
+ hfTokenInvalid: "Ungültiges Umarmungs -Gesichts -Token ",
+ datasetNameIsRequired: "Datensatzname ist erforderlich ",
+ },
+ exporting: "Exportieren in den Umarmungsgesichtszentrum ",
+ private: "Privater Datensatz",
+ public: "Öffentlicher Datensatz",
+ exportingWarning: "Das kann ein paar Sekunden dauern",
+ },
config: {
field: {
text: "Textfeld",
diff --git a/argilla-frontend/translation/en.js b/argilla-frontend/translation/en.js
index 4693035f75..68cc64e55a 100644
--- a/argilla-frontend/translation/en.js
+++ b/argilla-frontend/translation/en.js
@@ -11,8 +11,10 @@ export default {
search: "Search",
searchPlaceholder: "Introduce a query",
searchDatasets: "Search datasets",
+ share: "Share progress",
expand: "Expand",
copied: "Copied",
+ copiedToClipboard: "Copied to clipboard",
copyLink: "Copy link",
copyRecord: "Copy record",
refresh: "Refresh",
@@ -23,6 +25,7 @@ export default {
description: "Description",
labels: "Labels",
order: "Order",
+ owner: "Owner",
useMarkdown: "Use Markdown",
suggestionFirst: "Show suggestions first",
visibleForAnnotators: "Visible for annotators",
@@ -42,7 +45,11 @@ export default {
required: "Required",
optional: "Optional",
template: "Template",
+ orgOrUsername: "Organization or username",
+ hfToken: "Hugging Face token",
+ private: "Is private",
rows: "rows",
+ datasetName: "Dataset name",
noRecordsMessages: {
datasetEmptyForAnnotator:
"The dataset is empty. Ask an administrator to upload records and come back soon.",
@@ -122,6 +129,7 @@ export default {
cancel: "Cancel",
continue: "Continue",
delete: "Delete",
+ exportToHub: "Push to Hub",
tooltip: {
copyToClipboard: "Copy to clipboard",
copyNameToClipboard: "Copy dataset name to clipboard",
@@ -321,6 +329,21 @@ export default {
noWorkspaces:
"Please, follow this guide to create a workspace",
},
+ exportToHub: {
+ dialogTitle: "Push to Hugging Face Hub",
+ ownerTooltip: "Use a valid Hugging Face username or organisation",
+ tokenTooltip: `Use an existing access token or create a new token with "write permission"`,
+ validations: {
+ orgOrUsernameIsRequired: "Organization or username is required",
+ hfTokenIsRequired: "Hugging Face token is required",
+ hfTokenInvalid: "Invalid Hugging Face token",
+ datasetNameIsRequired: "Dataset name is required",
+ },
+ exporting: "Exporting to Hugging Face hub",
+ private: "Private dataset",
+ public: "Public dataset",
+ exportingWarning: "This might take a few seconds",
+ },
config: {
field: {
text: "Text field",
diff --git a/argilla-frontend/translation/es.js b/argilla-frontend/translation/es.js
index 51ff1f41a3..8b12ff173b 100644
--- a/argilla-frontend/translation/es.js
+++ b/argilla-frontend/translation/es.js
@@ -22,6 +22,7 @@ export default {
description: "Descripción",
labels: "Etiquetas",
order: "Orden",
+ owner: "Propietario",
useMarkdown: "Usar Markdown",
suggestionFirst: "Mostrar sugerencias primero",
visibleForAnnotators: "Visible para los anotadores",
@@ -42,6 +43,7 @@ export default {
optional: "Opcional",
template: "Plantilla",
rows: "filas",
+ datasetName: "Dataset name",
noRecordsMessages: {
datasetEmptyForAnnotator:
"El dataset está vacÃo. Pide a un administrador que suba registros y vuelve pronto.",
@@ -328,6 +330,23 @@ export default {
noWorkspaces:
"Por favor, sigue esta guÃa para crear un espacio de trabajo",
},
+ exportToHub: {
+ dialogTitle: "Exportar dataset a Hugging Face",
+ ownerTooltip:
+ "Utiliza un nombre de usuario u organización de Hugging Face válidos",
+ tokenTooltip: `Utiliza un token de acceso existente o crear un nuevo token con "permiso de escritura"`,
+ validations: {
+ orgOrUsernameIsRequired:
+ "El nombre de usuario u organización es requerido",
+ hfTokenIsRequired: "El token de Hugging Face es requerido",
+ hfTokenInvalid: "El token de Hugging Face es inválido",
+ datasetNameIsRequired: "El nombre del dataset es requerido",
+ },
+ exporting: "Exportando al hub de Hugging Face",
+ private: "Dataset privado",
+ public: "Dataset público",
+ exportingWarning: "Esto puede tardar unos segundos",
+ },
config: {
field: {
text: "Campo de texto",
diff --git a/argilla-frontend/v1/di/di.ts b/argilla-frontend/v1/di/di.ts
index ccd3bbb37d..a2a90e2497 100644
--- a/argilla-frontend/v1/di/di.ts
+++ b/argilla-frontend/v1/di/di.ts
@@ -29,7 +29,11 @@ import {
JobRepository,
} from "@/v1/infrastructure/repositories";
-import { useRole, useRoutes } from "@/v1/infrastructure/services";
+import {
+ useLocalStorage,
+ useRole,
+ useRoutes,
+} from "@/v1/infrastructure/services";
import { useDataset } from "@/v1/infrastructure/storage/DatasetStorage";
import { useRecords } from "@/v1/infrastructure/storage/RecordsStorage";
import { useDatasets } from "@/v1/infrastructure/storage/DatasetsStorage";
@@ -67,10 +71,11 @@ import { GetDatasetFieldsGroupedUseCase } from "@/v1/domain/usecases/get-dataset
import { LoadUserUseCase } from "@/v1/domain/usecases/load-user-use-case";
import { CreateDatasetUseCase } from "@/v1/domain/usecases/create-dataset-use-case";
import { GetFirstRecordFromHub } from "@/v1/domain/usecases/get-first-record-from-hub";
+import { ExportDatasetToHubUseCase } from "@/v1/domain/usecases/export-dataset-to-hub-use-case";
import { AuthLoginUseCase } from "@/v1/domain/usecases/auth-login-use-case";
export const loadDependencyContainer = (context: Context) => {
- const useAxios = useAxiosExtension(() => context.$axios);
+ const useAxios = useAxiosExtension(context);
const useAuth = () => context.$auth;
const dependencies = [
@@ -231,6 +236,10 @@ export const loadDependencyContainer = (context: Context) => {
.build(),
register(GetFirstRecordFromHub).withDependency(HubRepository).build(),
+
+ register(ExportDatasetToHubUseCase)
+ .withDependencies(DatasetRepository, useLocalStorage)
+ .build(),
];
Container.register(dependencies);
diff --git a/argilla-frontend/v1/domain/entities/dataset/DatasetExport.ts b/argilla-frontend/v1/domain/entities/dataset/DatasetExport.ts
new file mode 100644
index 0000000000..85b48ab488
--- /dev/null
+++ b/argilla-frontend/v1/domain/entities/dataset/DatasetExport.ts
@@ -0,0 +1,7 @@
+export interface DatasetExportSettings {
+ name: string;
+ subset?: string;
+ split?: string;
+ isPrivate: boolean;
+ hfToken: string;
+}
diff --git a/argilla-frontend/v1/domain/entities/dataset/Progress.ts b/argilla-frontend/v1/domain/entities/dataset/Progress.ts
index 4f80188370..ff0ad38aa3 100644
--- a/argilla-frontend/v1/domain/entities/dataset/Progress.ts
+++ b/argilla-frontend/v1/domain/entities/dataset/Progress.ts
@@ -14,9 +14,14 @@ export class Progress {
) {
this.hasMetrics = total >= 0;
+ const percentagePending = (this.pending * 100) / this.total;
+ const percentageCompleted = (this.completed * 100) / this.total;
+
this.percentage = {
- pending: ((this.pending * 100) / this.total).toFixed(2),
- completed: ((this.completed * 100) / this.total).toFixed(2),
+ pending: isNaN(percentagePending) ? "0.00" : percentagePending.toFixed(2),
+ completed: isNaN(percentageCompleted)
+ ? "0.00"
+ : percentageCompleted.toFixed(2),
};
}
diff --git a/argilla-frontend/v1/domain/entities/environment/Environment.ts b/argilla-frontend/v1/domain/entities/environment/Environment.ts
index c28a068722..7e8b04042f 100644
--- a/argilla-frontend/v1/domain/entities/environment/Environment.ts
+++ b/argilla-frontend/v1/domain/entities/environment/Environment.ts
@@ -2,6 +2,7 @@ export class Environment {
constructor(
private readonly argilla: {
showHuggingfaceSpacePersistentStorageWarning: boolean;
+ shareYourProgressEnabled: boolean;
},
private readonly huggingface: {
spaceId: string;
@@ -21,6 +22,10 @@ export class Environment {
);
}
+ get shareYourProgressEnabled() {
+ return this.argilla.shareYourProgressEnabled;
+ }
+
get huggingFaceSpace() {
if (this.huggingface?.spaceId) {
return {
diff --git a/argilla-frontend/v1/domain/services/IDatasetRepository.ts b/argilla-frontend/v1/domain/services/IDatasetRepository.ts
index 0a0280ce1d..9165bd5c11 100644
--- a/argilla-frontend/v1/domain/services/IDatasetRepository.ts
+++ b/argilla-frontend/v1/domain/services/IDatasetRepository.ts
@@ -1,4 +1,5 @@
import { Dataset } from "../entities/dataset/Dataset";
+import { DatasetExportSettings } from "../entities/dataset/DatasetExport";
import { Progress } from "../entities/dataset/Progress";
import { DatasetCreation } from "../entities/hub/DatasetCreation";
@@ -9,6 +10,10 @@ export interface IDatasetRepository {
create(dataset: DatasetCreation): Promise;
publish(datasetId: string): Promise;
import(datasetId: DatasetId, creation: DatasetCreation): Promise;
+ export(
+ dataset: Dataset,
+ exportSettings: DatasetExportSettings
+ ): Promise;
getById(id: string): Promise;
getAll(): Promise;
delete(datasetId: string);
diff --git a/argilla-frontend/v1/domain/services/ILocalStorageService.ts b/argilla-frontend/v1/domain/services/ILocalStorageService.ts
new file mode 100644
index 0000000000..eb34cf603b
--- /dev/null
+++ b/argilla-frontend/v1/domain/services/ILocalStorageService.ts
@@ -0,0 +1,13 @@
+export type Options =
+ | "showShortcutsHelper"
+ | "layout"
+ | "redirectTo"
+ | "language"
+ | "theme"
+ | "datasetExportJobIds";
+
+export interface ILocalStorageService {
+ get(key: Options): T;
+ set(key: Options, value: T): void;
+ pop(key: Options): T;
+}
diff --git a/argilla-frontend/v1/domain/usecases/export-dataset-to-hub-use-case.ts b/argilla-frontend/v1/domain/usecases/export-dataset-to-hub-use-case.ts
new file mode 100644
index 0000000000..09636b2c4b
--- /dev/null
+++ b/argilla-frontend/v1/domain/usecases/export-dataset-to-hub-use-case.ts
@@ -0,0 +1,26 @@
+import { Dataset } from "../entities/dataset/Dataset";
+import { DatasetExportSettings } from "../entities/dataset/DatasetExport";
+import { IDatasetRepository } from "../services/IDatasetRepository";
+import { ILocalStorageService } from "../services/ILocalStorageService";
+
+export class ExportDatasetToHubUseCase {
+ constructor(
+ private readonly datasetRepository: IDatasetRepository,
+ private readonly localStorage: ILocalStorageService
+ ) {}
+
+ async execute(dataset: Dataset, exportSettings: DatasetExportSettings) {
+ const jobId = await this.datasetRepository.export(dataset, exportSettings);
+
+ const datasetExportJobIds: Record =
+ this.localStorage.get("datasetExportJobIds") ?? {};
+
+ this.localStorage.set("datasetExportJobIds", {
+ ...datasetExportJobIds,
+ [dataset.id]: {
+ jobId,
+ datasetName: exportSettings.name,
+ },
+ });
+ }
+}
diff --git a/argilla-frontend/v1/infrastructure/repositories/AxiosErrorHandler.ts b/argilla-frontend/v1/infrastructure/repositories/AxiosErrorHandler.ts
new file mode 100644
index 0000000000..1805d63291
--- /dev/null
+++ b/argilla-frontend/v1/infrastructure/repositories/AxiosErrorHandler.ts
@@ -0,0 +1,44 @@
+import { Context } from "@nuxt/types";
+import { useNotifications } from "../services";
+
+export const loadErrorHandler = (context: Context) => {
+ const axios = context.$axios;
+ const t = (key: string) => context.app.i18n.t(key).toString();
+
+ const notification = useNotifications();
+
+ axios.onError((error) => {
+ const { status, data } = error.response ?? {};
+
+ notification.clear();
+
+ const errorHandledKey = `validations.http.${status}.message`;
+ const handledTranslatedError = t(errorHandledKey);
+
+ if (handledTranslatedError !== errorHandledKey) {
+ notification.notify({
+ message: handledTranslatedError,
+ type: "danger",
+ });
+ }
+
+ if (data.code) {
+ const errorHandledKey = `validations.businessLogic.${data.code}.message`;
+ const handledTranslatedError = t(errorHandledKey);
+
+ if (handledTranslatedError !== errorHandledKey) {
+ notification.notify({
+ message: handledTranslatedError,
+ type: "danger",
+ });
+ }
+ } else if (data.detail && typeof data.detail === "string") {
+ notification.notify({
+ message: data.detail.toString(),
+ type: "danger",
+ });
+ }
+
+ throw error;
+ });
+};
diff --git a/argilla-frontend/v1/infrastructure/repositories/DatasetRepository.ts b/argilla-frontend/v1/infrastructure/repositories/DatasetRepository.ts
index 8f582fb38f..8cd2dccf69 100644
--- a/argilla-frontend/v1/infrastructure/repositories/DatasetRepository.ts
+++ b/argilla-frontend/v1/infrastructure/repositories/DatasetRepository.ts
@@ -17,6 +17,7 @@ import {
import { Dataset } from "~/v1/domain/entities/dataset/Dataset";
import { Progress } from "~/v1/domain/entities/dataset/Progress";
import { DatasetCreation } from "~/v1/domain/entities/hub/DatasetCreation";
+import { DatasetExportSettings } from "~/v1/domain/entities/dataset/DatasetExport";
export const DATASET_API_ERRORS = {
ERROR_FETCHING_FEEDBACK_DATASETS: "ERROR_FETCHING_FEEDBACK_DATASETS",
@@ -29,6 +30,7 @@ export const DATASET_API_ERRORS = {
ERROR_FETCHING_DATASET_PROGRESS: "ERROR_FETCHING_DATASET_PROGRESS",
ERROR_PUBLISHING_DATASET: "ERROR_PUBLISHING_DATASET",
ERROR_IMPORTING_DATASET: "ERROR_IMPORTING_DATASET",
+ ERROR_EXPORTING_DATASET: "ERROR_EXPORTING_DATASET",
};
export class DatasetRepository implements IDatasetRepository {
@@ -96,6 +98,33 @@ export class DatasetRepository implements IDatasetRepository {
}
}
+ async export(
+ dataset: Dataset,
+ exportSettings: DatasetExportSettings
+ ): Promise {
+ try {
+ const { id } = dataset;
+ const { name, subset, split, isPrivate, hfToken } = exportSettings;
+
+ const { data } = await this.axios.post(
+ `/v1/datasets/${id}/export`,
+ {
+ name,
+ subset,
+ split,
+ private: isPrivate,
+ token: hfToken,
+ }
+ );
+
+ return data.id;
+ } catch (err) {
+ throw {
+ response: DATASET_API_ERRORS.ERROR_EXPORTING_DATASET,
+ };
+ }
+ }
+
async getById(id: string): Promise {
const dataset = await this.getDatasetById(id);
const workspace = await this.getWorkspaceById(dataset.workspace_id);
diff --git a/argilla-frontend/v1/infrastructure/repositories/EnvironmentRepository.ts b/argilla-frontend/v1/infrastructure/repositories/EnvironmentRepository.ts
index 2319ebe224..82345b4771 100644
--- a/argilla-frontend/v1/infrastructure/repositories/EnvironmentRepository.ts
+++ b/argilla-frontend/v1/infrastructure/repositories/EnvironmentRepository.ts
@@ -22,12 +22,27 @@ export class EnvironmentRepository implements IEnvironmentRepository {
largeCache()
);
- const { argilla, huggingface } = data;
+ const {
+ argilla = {
+ share_your_progress_enabled: false,
+ show_huggingface_space_persistent_storage_warning: false,
+ },
+ huggingface = {
+ space_author_name: "",
+ space_host: "",
+ space_id: "",
+ space_persistent_storage_enabled: false,
+ space_repo_name: "",
+ space_subdomain: "",
+ space_title: "",
+ },
+ } = data;
return new Environment(
{
showHuggingfaceSpacePersistentStorageWarning:
argilla.show_huggingface_space_persistent_storage_warning,
+ shareYourProgressEnabled: argilla.share_your_progress_enabled,
},
{
spaceId: huggingface.space_id,
diff --git a/argilla-frontend/v1/infrastructure/repositories/JobRepository.ts b/argilla-frontend/v1/infrastructure/repositories/JobRepository.ts
index 3023614495..7fc4fffe32 100644
--- a/argilla-frontend/v1/infrastructure/repositories/JobRepository.ts
+++ b/argilla-frontend/v1/infrastructure/repositories/JobRepository.ts
@@ -2,19 +2,45 @@ import { type NuxtAxiosInstance } from "@nuxtjs/axios";
import { BackendJob } from "../types/dataset";
class JobStatus {
- constructor(public readonly jobId: string, public readonly status: string) {}
+ constructor(public readonly jobId: string, private readonly status: string) {}
get isQueued() {
return this.status === "queued";
}
- get isStarted() {
- return this.status === "started";
+ get isFinished() {
+ return this.status === "finished";
}
get isFailed() {
return this.status === "failed";
}
+
+ get isStarted() {
+ return this.status === "started";
+ }
+
+ get isDeferred() {
+ return this.status === "deferred";
+ }
+
+ get isScheduled() {
+ return this.status === "scheduled";
+ }
+
+ get isStopped() {
+ return this.status === "stopped";
+ }
+
+ get isCanceled() {
+ return this.status === "canceled";
+ }
+
+ get isRunning() {
+ return (
+ this.isStarted || this.isScheduled || this.isQueued || this.isDeferred
+ );
+ }
}
export class JobRepository {
diff --git a/argilla-frontend/v1/infrastructure/services/useAxiosExtension.ts b/argilla-frontend/v1/infrastructure/services/useAxiosExtension.ts
index f1cdaa98ee..9d72ada2f2 100644
--- a/argilla-frontend/v1/infrastructure/services/useAxiosExtension.ts
+++ b/argilla-frontend/v1/infrastructure/services/useAxiosExtension.ts
@@ -1,4 +1,7 @@
import { type NuxtAxiosInstance } from "@nuxtjs/axios";
+import { Context } from "@nuxt/types";
+import { loadCache } from "../repositories";
+import { loadErrorHandler } from "../repositories/AxiosErrorHandler";
type PublicAxiosConfig = {
enableErrors: boolean;
@@ -8,29 +11,32 @@ export interface PublicNuxtAxiosInstance extends NuxtAxiosInstance {
makePublic: (config?: PublicAxiosConfig) => NuxtAxiosInstance;
}
-export const useAxiosExtension = (axiosInstanceFn: () => NuxtAxiosInstance) => {
- const makePublic = (axios: NuxtAxiosInstance, config: PublicAxiosConfig) => {
- const publicAxios = axios.create({
+export const useAxiosExtension = (context: Context) => {
+ const makePublic = (config: PublicAxiosConfig) => {
+ const $axios = context.$axios.create({
withCredentials: false,
});
if (config.enableErrors) {
- publicAxios.interceptors.response = axios.interceptors.response;
+ loadErrorHandler({
+ ...context,
+ $axios,
+ });
}
- return publicAxios;
+ loadCache($axios);
+
+ return $axios;
};
const create = () => {
- const axios = axiosInstanceFn();
-
return {
- ...axios,
+ ...context.$axios,
makePublic: (
config: PublicAxiosConfig = {
enableErrors: true,
}
- ) => makePublic(axios, config),
+ ) => makePublic(config),
} as PublicNuxtAxiosInstance;
};
diff --git a/argilla-frontend/v1/infrastructure/services/useClipboard.ts b/argilla-frontend/v1/infrastructure/services/useClipboard.ts
new file mode 100644
index 0000000000..2180756f61
--- /dev/null
+++ b/argilla-frontend/v1/infrastructure/services/useClipboard.ts
@@ -0,0 +1,27 @@
+export const useClipboard = () => {
+ const unsecuredCopy = (text) => {
+ const textArea = document.createElement("textarea");
+ textArea.value = text;
+ document.body.appendChild(textArea);
+ textArea.focus();
+ textArea.select();
+ try {
+ document.execCommand("copy");
+ } catch (err) {
+ // eslint-disable-next-line no-console
+ console.error("Unable to copy to clipboard", err);
+ }
+
+ document.body.removeChild(textArea);
+ };
+
+ const copy = function (text) {
+ if (window.isSecureContext && navigator.clipboard) {
+ navigator.clipboard.writeText(text);
+ } else {
+ unsecuredCopy(text);
+ }
+ };
+
+ return { copy };
+};
diff --git a/argilla-frontend/v1/infrastructure/services/useColorSchema.ts b/argilla-frontend/v1/infrastructure/services/useColorSchema.ts
index 2b5d57cb72..2dddc4bd41 100644
--- a/argilla-frontend/v1/infrastructure/services/useColorSchema.ts
+++ b/argilla-frontend/v1/infrastructure/services/useColorSchema.ts
@@ -6,7 +6,7 @@ export const useColorSchema = () => {
? "dark"
: "light";
- const currentTheme = ref(get("theme") || "system");
+ const currentTheme = ref(get("theme") || "system");
const setTheme = (theme: string) => {
currentTheme.value = theme;
diff --git a/argilla-frontend/v1/infrastructure/services/useLanguageDetector.test.ts b/argilla-frontend/v1/infrastructure/services/useLanguageDetector.test.ts
index de6318a0ca..6535ca69de 100644
--- a/argilla-frontend/v1/infrastructure/services/useLanguageDetector.test.ts
+++ b/argilla-frontend/v1/infrastructure/services/useLanguageDetector.test.ts
@@ -75,7 +75,7 @@ describe("useLanguageDetector", () => {
test("set the language saved by the user", () => {
useLocalStorageMock.mockReturnValue({
- get: () => "fr",
+ get: jest.fn().mockReturnValue("fr"),
pop: jest.fn(),
set: jest.fn(),
});
diff --git a/argilla-frontend/v1/infrastructure/services/useLanguageDetector.ts b/argilla-frontend/v1/infrastructure/services/useLanguageDetector.ts
index 8482ed6da9..c053bc1ea6 100644
--- a/argilla-frontend/v1/infrastructure/services/useLanguageDetector.ts
+++ b/argilla-frontend/v1/infrastructure/services/useLanguageDetector.ts
@@ -17,7 +17,7 @@ export const useLanguageDetector = (context: Context) => {
const { i18n } = context.app;
const detect = () => {
- return get("language") || navigator.language;
+ return get("language") || navigator.language;
};
const exists = (language: string) => {
@@ -52,6 +52,7 @@ export const useLanguageChanger = (context: Context) => {
const change = (language: string) => {
i18n.setLocale(language);
+ document.documentElement.lang = language;
set("language", language);
};
diff --git a/argilla-frontend/v1/infrastructure/services/useLocalStorage.ts b/argilla-frontend/v1/infrastructure/services/useLocalStorage.ts
index 967bc4f356..862bbe53b6 100644
--- a/argilla-frontend/v1/infrastructure/services/useLocalStorage.ts
+++ b/argilla-frontend/v1/infrastructure/services/useLocalStorage.ts
@@ -1,16 +1,14 @@
-type Options =
- | "showShortcutsHelper"
- | "layout"
- | "redirectTo"
- | "language"
- | "theme";
+import {
+ ILocalStorageService,
+ Options,
+} from "~/v1/domain/services/ILocalStorageService";
const STORAGE_KEY = "argilla";
const EMPTY_OBJECT = "{}";
-export const useLocalStorage = () => {
- const get = (key: Options) => {
+export const useLocalStorage = (): ILocalStorageService => {
+ const get = (key: Options): T => {
const storage = localStorage.getItem(STORAGE_KEY);
if (!storage) return null;
@@ -18,13 +16,13 @@ export const useLocalStorage = () => {
try {
const parsed = JSON.parse(storage);
- return parsed[key];
+ return parsed[key] as T;
} catch (error) {
return undefined;
}
};
- const set = (key: Options, value: any) => {
+ const set = (key: Options, value: T) => {
const storage = localStorage.getItem(STORAGE_KEY) ?? EMPTY_OBJECT;
try {
const parsed = JSON.parse(storage);
@@ -39,9 +37,11 @@ export const useLocalStorage = () => {
} catch {}
};
- const pop = (key: Options) => {
- const value = get(key);
+ const pop = (key: Options) => {
+ const value = get(key);
+
set(key, null);
+
return value;
};
diff --git a/argilla-frontend/v1/infrastructure/services/useNotifications.ts b/argilla-frontend/v1/infrastructure/services/useNotifications.ts
index da3a472466..86d1f9c4a6 100644
--- a/argilla-frontend/v1/infrastructure/services/useNotifications.ts
+++ b/argilla-frontend/v1/infrastructure/services/useNotifications.ts
@@ -27,13 +27,9 @@ export const useNotifications = () => {
numberOfChars: message.length,
buttonText,
onClick() {
- clear();
-
if (onClick) onClick();
},
onClose() {
- clear();
-
if (onClose) onClose();
},
type: type || "default",
diff --git a/argilla-frontend/v1/infrastructure/services/useRunningEnvironment.test.ts b/argilla-frontend/v1/infrastructure/services/useRunningEnvironment.test.ts
index 8db35282d2..9850758bdc 100644
--- a/argilla-frontend/v1/infrastructure/services/useRunningEnvironment.test.ts
+++ b/argilla-frontend/v1/infrastructure/services/useRunningEnvironment.test.ts
@@ -39,6 +39,7 @@ describe("useRunningEnvironment", () => {
new Environment(
{
showHuggingfaceSpacePersistentStorageWarning: false,
+ shareYourProgressEnabled: false,
},
{
spaceAuthorName: "USER_NAME_FAKE",
diff --git a/argilla-frontend/v1/infrastructure/services/useRunningEnvironment.ts b/argilla-frontend/v1/infrastructure/services/useRunningEnvironment.ts
index d8691b299e..3f8760b438 100644
--- a/argilla-frontend/v1/infrastructure/services/useRunningEnvironment.ts
+++ b/argilla-frontend/v1/infrastructure/services/useRunningEnvironment.ts
@@ -47,6 +47,12 @@ export const useRunningEnvironment = () => {
return providers.some((p) => p.isHuggingFace);
};
+ const getShareYourProgressEnabled = async () => {
+ const environment = await getEnvironment();
+
+ return environment.shareYourProgressEnabled;
+ };
+
return {
isEmbebed,
isRunningOnHuggingFace,
@@ -54,5 +60,6 @@ export const useRunningEnvironment = () => {
getHuggingFaceSpace,
hasPersistentStorageWarning,
hasHuggingFaceOAuthConfigured,
+ getShareYourProgressEnabled,
};
};
diff --git a/argilla-frontend/v1/infrastructure/types/environment.ts b/argilla-frontend/v1/infrastructure/types/environment.ts
index f4fc140dea..6227c245e2 100644
--- a/argilla-frontend/v1/infrastructure/types/environment.ts
+++ b/argilla-frontend/v1/infrastructure/types/environment.ts
@@ -1,6 +1,7 @@
export interface BackendEnvironment {
argilla: {
show_huggingface_space_persistent_storage_warning: boolean;
+ share_your_progress_enabled: boolean;
};
huggingface: {
space_id: string;
diff --git a/argilla-server/CHANGELOG.md b/argilla-server/CHANGELOG.md
index c99887b1c4..e652289960 100644
--- a/argilla-server/CHANGELOG.md
+++ b/argilla-server/CHANGELOG.md
@@ -16,6 +16,17 @@ These are the section headers that we use:
## [Unreleased]()
+## [2.6.0](https://github.com/argilla-io/argilla/compare/v2.5.0...v2.6.0)
+
+### Added
+
+- Added new `POST /api/v1/datasets/:dataset_id/export` endpoint to export datasets to Hugging Face Hub using a background job. ([#5709](https://github.com/argilla-io/argilla/pull/5709))
+- Added support to update record fields in `PATCH /api/v1/records/:record_id` endpoint. ([#5685](https://github.com/argilla-io/argilla/pull/5685))
+- Added support to update record fields in `PUT /api/v1/datasets/:dataset_id/records/bulk` endpoint. ([#5685](https://github.com/argilla-io/argilla/pull/5685))
+- Added `GET /share-your-progress` endpoint to share user progress with the community. ([#5739](https://github.com/argilla-io/argilla/pull/5739))
+- Added `argilla.share_your_progress_enabled` attribute to `GET /api/v1/settings` endpoint. ([#5739](https://github.com/argilla-io/argilla/pull/5739))
+- Added new environment variable `ARGILLA_ENABLE_SHARE_YOUR_PROGRESS` to enable or disable the share your progress feature. ([#5727](https://github.com/argilla-io/argilla/pull/5727))
+
## [2.5.0](https://github.com/argilla-io/argilla/compare/v2.4.1...v2.5.0)
### Added
@@ -47,7 +58,7 @@ These are the section headers that we use:
### Added
-- Added new `POST /api/v1/datasets/:dataset_id/import` to import datasets from Hugging Face as a background job. ([#5572](https://github.com/argilla-io/argilla/pull/5572))
+- Added new `POST /api/v1/datasets/:dataset_id/import` endpoint to import datasets from Hugging Face as a background job. ([#5572](https://github.com/argilla-io/argilla/pull/5572))
- Added new `metadata` attribute for endpoints getting, creating and updating Datasets so now it is possible to store metadata associated to a dataset. ([#5586](https://github.com/argilla-io/argilla/pull/5586))
- Added new validation to avoid the creation of records with empty `fields` attributes. ([#5639](https://github.com/argilla-io/argilla/pull/5639))
diff --git a/argilla-server/pdm.lock b/argilla-server/pdm.lock
index e2885e4858..6a5bb8cce8 100644
--- a/argilla-server/pdm.lock
+++ b/argilla-server/pdm.lock
@@ -5,7 +5,7 @@
groups = ["default", "postgresql", "test"]
strategy = ["inherit_metadata"]
lock_version = "4.5.0"
-content_hash = "sha256:f727a613054d4b3bc4eabdbc76b688e49758df5b6f81eec1d6d34faf0a1563c8"
+content_hash = "sha256:097fb50989f5d1d4c9cf13f57e842bee81e72dab2e9963ba36eace0bd8b36891"
[[metadata.targets]]
requires_python = ">=3.9"
@@ -1333,6 +1333,20 @@ files = [
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
+[[package]]
+name = "jinja2"
+version = "3.1.4"
+requires_python = ">=3.7"
+summary = "A very fast and expressive template engine."
+groups = ["default"]
+dependencies = [
+ "MarkupSafe>=2.0",
+]
+files = [
+ {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+ {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+]
+
[[package]]
name = "mako"
version = "1.3.6"
diff --git a/argilla-server/pyproject.toml b/argilla-server/pyproject.toml
index 590fee1232..a18f75c952 100644
--- a/argilla-server/pyproject.toml
+++ b/argilla-server/pyproject.toml
@@ -61,7 +61,8 @@ dependencies = [
"datasets >= 3.0.1",
"pillow >= 10.4.0",
# For Telemetry
- "huggingface_hub >= 0.13, <1",
+ "huggingface-hub>=0.26.2",
+ "Jinja2>=3.1.4", # Used by huggingface-hub to render dataset card templates
]
[project.optional-dependencies]
diff --git a/argilla-server/src/argilla_server/_app.py b/argilla-server/src/argilla_server/_app.py
index 39187aeb07..87dd1009e6 100644
--- a/argilla-server/src/argilla_server/_app.py
+++ b/argilla-server/src/argilla_server/_app.py
@@ -12,6 +12,7 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
+import base64
import contextlib
import glob
import inspect
@@ -19,16 +20,20 @@
import os
import shutil
import tempfile
+import textwrap
+from urllib.parse import urlencode
+
import redis
from datetime import datetime
from pathlib import Path
import backoff
from brotli_asgi import BrotliMiddleware
-from fastapi import FastAPI, Request
+from fastapi import FastAPI, Request, Query
from sqlalchemy.ext.asyncio import AsyncSession
+from starlette.datastructures import URL
from starlette.middleware.cors import CORSMiddleware
-from starlette.responses import RedirectResponse
+from starlette.responses import RedirectResponse, HTMLResponse
from argilla_server import helpers
from argilla_server._version import __version__ as argilla_version
@@ -58,6 +63,90 @@ async def app_lifespan(app: FastAPI):
yield
+def configure_share_your_progress(app: FastAPI):
+ if settings.enable_share_your_progress is False:
+ return
+
+ def create_image_link(username: str, dataset_name: str, submitted: int, team_progress: float) -> str:
+ url = "https://argilla.imglab-cdn.net/dibt/dibt_v2.png"
+
+ text = f"""@{username}
+I've just contributed {submitted} examples to this dataset:
+{dataset_name}
+
+Team progress
+{team_progress}% """
+
+ params = {
+ "width": "1200",
+ "text": text,
+ "text-width": "700",
+ "text-height": "590",
+ "text-padding": "60",
+ "text-color": "39,71,111",
+ "text-x": "460",
+ "text-y": "40",
+ "format": "png",
+ "dpr": "2",
+ }
+
+ return f"{url}?{urlencode(params)}"
+
+ def create_share_html(dataset_name: str, dataset_id: str, share_image: str, url: URL) -> str:
+ share_page = f"""
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ """
+
+ return textwrap.dedent(share_page)
+
+ @app.get("/share-your-progress", include_in_schema=False)
+ async def share_your_progress_page(
+ request: Request,
+ dataset_name: str = Query(),
+ dataset_id: str = Query(),
+ user_name: str = Query(),
+ team_progress: float = Query(default=0.0),
+ records_submitted: int = Query(default=0),
+ ):
+ share_image = create_image_link(user_name, dataset_name, records_submitted, team_progress)
+ share_page = create_share_html(dataset_name, dataset_id, share_image, request.url)
+
+ return HTMLResponse(content=share_page, status_code=200)
+
+
def create_server_app() -> FastAPI:
"""Configure the argilla server"""
@@ -74,6 +163,7 @@ def create_server_app() -> FastAPI:
configure_logging()
configure_common_middleware(app)
configure_api_router(app)
+ configure_share_your_progress(app)
configure_telemetry(app)
configure_app_statics(app)
configure_api_docs(app)
diff --git a/argilla-server/src/argilla_server/_version.py b/argilla-server/src/argilla_server/_version.py
index b8d3a961ee..8bb19472fd 100644
--- a/argilla-server/src/argilla_server/_version.py
+++ b/argilla-server/src/argilla_server/_version.py
@@ -15,4 +15,4 @@
# coding: utf-8
#
-__version__ = "2.6.0dev0"
+__version__ = "2.7.0dev0"
diff --git a/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py b/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py
index b8cd88d4fa..594522f7f3 100644
--- a/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py
+++ b/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py
@@ -30,6 +30,7 @@
Datasets,
DatasetUpdate,
HubDataset,
+ HubDatasetExport,
UsersProgress,
)
from argilla_server.api.schemas.v1.fields import Field, FieldCreate, Fields
@@ -38,6 +39,7 @@
MetadataProperty,
MetadataPropertyCreate,
)
+from argilla_server.errors.future import UnprocessableEntityError
from argilla_server.api.schemas.v1.vector_settings import VectorSettings, VectorSettingsCreate, VectorsSettings
from argilla_server.api.schemas.v1.jobs import Job as JobSchema
from argilla_server.contexts import datasets
@@ -332,3 +334,30 @@ async def import_dataset_from_hub(
)
return JobSchema(id=job.id, status=job.get_status())
+
+
+@router.post("/datasets/{dataset_id}/export", status_code=status.HTTP_202_ACCEPTED, response_model=JobSchema)
+async def export_dataset_to_hub(
+ *,
+ db: AsyncSession = Depends(get_async_db),
+ dataset_id: UUID,
+ hub_dataset: HubDatasetExport,
+ current_user: User = Security(auth.get_current_user),
+):
+ dataset = await Dataset.get_or_raise(db, dataset_id)
+
+ await authorize(current_user, DatasetPolicy.export_to_hub(dataset))
+
+ if not await datasets.dataset_has_records(db, dataset):
+ raise UnprocessableEntityError(f"Dataset with id `{dataset.id}` has no records to export")
+
+ job = hub_jobs.export_dataset_to_hub_job.delay(
+ name=hub_dataset.name,
+ subset=hub_dataset.subset,
+ split=hub_dataset.split,
+ private=hub_dataset.private,
+ token=hub_dataset.token,
+ dataset_id=dataset.id,
+ )
+
+ return JobSchema(id=job.id, status=job.get_status())
diff --git a/argilla-server/src/argilla_server/api/handlers/v1/datasets/records.py b/argilla-server/src/argilla_server/api/handlers/v1/datasets/records.py
index 90baf9d85a..104a65f6fe 100644
--- a/argilla-server/src/argilla_server/api/handlers/v1/datasets/records.py
+++ b/argilla-server/src/argilla_server/api/handlers/v1/datasets/records.py
@@ -264,7 +264,7 @@ async def delete_dataset_records(
if num_records > DELETE_DATASET_RECORDS_LIMIT:
raise UnprocessableEntityError(f"Cannot delete more than {DELETE_DATASET_RECORDS_LIMIT} records at once")
- await datasets.delete_records(db, search_engine, dataset, record_ids)
+ await records.delete_records(db, search_engine, dataset, record_ids)
@router.post(
diff --git a/argilla-server/src/argilla_server/api/handlers/v1/records.py b/argilla-server/src/argilla_server/api/handlers/v1/records.py
index f7dd12674c..26dc431098 100644
--- a/argilla-server/src/argilla_server/api/handlers/v1/records.py
+++ b/argilla-server/src/argilla_server/api/handlers/v1/records.py
@@ -25,7 +25,7 @@
from argilla_server.api.schemas.v1.responses import Response, ResponseCreate
from argilla_server.api.schemas.v1.suggestions import Suggestion as SuggestionSchema
from argilla_server.api.schemas.v1.suggestions import SuggestionCreate, Suggestions
-from argilla_server.contexts import datasets
+from argilla_server.contexts import datasets, records
from argilla_server.database import get_async_db
from argilla_server.errors.future.base_errors import NotFoundError, UnprocessableEntityError
from argilla_server.models import Dataset, Question, Record, Suggestion, User
@@ -74,16 +74,21 @@ async def update_record(
db,
record_id,
options=[
- selectinload(Record.dataset).selectinload(Dataset.questions),
- selectinload(Record.dataset).selectinload(Dataset.metadata_properties),
+ selectinload(Record.dataset).options(
+ selectinload(Dataset.questions),
+ selectinload(Dataset.metadata_properties),
+ selectinload(Dataset.vectors_settings),
+ selectinload(Dataset.fields),
+ ),
selectinload(Record.suggestions),
+ selectinload(Record.responses),
selectinload(Record.vectors),
],
)
await authorize(current_user, RecordPolicy.update(record))
- return await datasets.update_record(db, search_engine, record, record_update)
+ return await records.update_record(db, search_engine, record, record_update)
@router.post("/records/{record_id}/responses", status_code=status.HTTP_201_CREATED, response_model=Response)
@@ -233,4 +238,4 @@ async def delete_record(
await authorize(current_user, RecordPolicy.delete(record))
- return await datasets.delete_record(db, search_engine, record)
+ return await records.delete_record(db, search_engine, record)
diff --git a/argilla-server/src/argilla_server/api/policies/v1/dataset_policy.py b/argilla-server/src/argilla_server/api/policies/v1/dataset_policy.py
index 755ea0b01b..e23f701300 100644
--- a/argilla-server/src/argilla_server/api/policies/v1/dataset_policy.py
+++ b/argilla-server/src/argilla_server/api/policies/v1/dataset_policy.py
@@ -148,3 +148,10 @@ async def is_allowed(actor: User) -> bool:
return actor.is_owner or (actor.is_admin and await actor.is_member(dataset.workspace_id))
return is_allowed
+
+ @classmethod
+ def export_to_hub(cls, dataset: Dataset) -> PolicyAction:
+ async def is_allowed(actor: User) -> bool:
+ return actor.is_owner or (actor.is_admin and await actor.is_member(dataset.workspace_id))
+
+ return is_allowed
diff --git a/argilla-server/src/argilla_server/api/schemas/v1/chat.py b/argilla-server/src/argilla_server/api/schemas/v1/chat.py
index 11f5184ac1..9fd93318d0 100644
--- a/argilla-server/src/argilla_server/api/schemas/v1/chat.py
+++ b/argilla-server/src/argilla_server/api/schemas/v1/chat.py
@@ -12,13 +12,14 @@
# See the License for the specific language governing permissions and
# limitations under the License.
+import os
from pydantic import BaseModel, Field
-MIN_MESSAGE_LENGTH = 1
-MAX_MESSAGE_LENGTH = 20000
+MIN_MESSAGE_LENGTH = int(os.getenv("ARGILLA_MIN_MESSAGE_LENGTH", 1))
+MAX_MESSAGE_LENGTH = int(os.getenv("ARGILLA_MAX_MESSAGE_LENGTH", 20000))
-MIN_ROLE_LENGTH = 1
-MAX_ROLE_LENGTH = 20
+MIN_ROLE_LENGTH = int(os.getenv("ARGILLA_MIN_ROLE_LENGTH", 1))
+MAX_ROLE_LENGTH = int(os.getenv("ARGILLA_MAX_ROLE_LENGTH", 20))
class ChatFieldValue(BaseModel):
diff --git a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py
index 087ec89cae..3f700778fc 100644
--- a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py
+++ b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py
@@ -196,3 +196,11 @@ class HubDataset(BaseModel):
subset: str
split: str
mapping: HubDatasetMapping
+
+
+class HubDatasetExport(BaseModel):
+ name: str = Field(..., min_length=1)
+ subset: Optional[str] = Field("default", min_length=1)
+ split: Optional[str] = Field("train", min_length=1)
+ private: Optional[bool] = False
+ token: str = Field(..., min_length=1)
diff --git a/argilla-server/src/argilla_server/api/schemas/v1/records.py b/argilla-server/src/argilla_server/api/schemas/v1/records.py
index a6d1dade7b..41ade95a8b 100644
--- a/argilla-server/src/argilla_server/api/schemas/v1/records.py
+++ b/argilla-server/src/argilla_server/api/schemas/v1/records.py
@@ -25,8 +25,6 @@
BaseModel,
Field,
StrictStr,
- root_validator,
- validator,
ValidationError,
ConfigDict,
model_validator,
@@ -183,17 +181,12 @@ def prevent_nan_values(cls, metadata: Optional[Dict[str, Any]]) -> Optional[Dict
class RecordUpdate(UpdateSchema):
- metadata_: Optional[Dict[str, Any]] = Field(None, alias="metadata")
+ fields: Optional[Dict[str, FieldValueCreate]] = None
+ metadata: Optional[Dict[str, Any]] = None
suggestions: Optional[List[SuggestionCreate]] = None
vectors: Optional[Dict[str, List[float]]] = None
- @property
- def metadata(self) -> Optional[Dict[str, Any]]:
- # Align with the RecordCreate model. Both should have the same name for the metadata field.
- # TODO(@frascuchon): This will be properly adapted once the bulk records refactor is completed.
- return self.metadata_
-
- @field_validator("metadata_")
+ @field_validator("metadata")
@classmethod
def prevent_nan_values(cls, metadata: Optional[Dict[str, Any]]) -> Optional[Dict[str, Any]]:
if metadata is None:
@@ -205,15 +198,20 @@ def prevent_nan_values(cls, metadata: Optional[Dict[str, Any]]) -> Optional[Dict
return {k: v for k, v in metadata.items() if v == v} # By definition, NaN != NaN
+ def is_set(self, attribute: str) -> bool:
+ return attribute in self.model_fields_set
-class RecordUpdateWithId(RecordUpdate):
- id: UUID
+ def has_changes(self) -> bool:
+ return self.model_dump(exclude_unset=True) != {}
class RecordUpsert(RecordCreate):
id: Optional[UUID] = None
fields: Optional[Dict[str, FieldValueCreate]] = None
+ def is_set(self, attribute: str) -> bool:
+ return attribute in self.model_fields_set
+
class RecordIncludeParam(BaseModel):
relationships: Optional[List[RecordInclude]] = Field(None, alias="keys")
@@ -278,13 +276,6 @@ class RecordsCreate(BaseModel):
items: List[RecordCreate] = Field(..., min_length=RECORDS_CREATE_MIN_ITEMS, max_length=RECORDS_CREATE_MAX_ITEMS)
-class RecordsUpdate(BaseModel):
- # TODO: review this definition and align to create model
- items: List[RecordUpdateWithId] = Field(
- ..., min_length=RECORDS_UPDATE_MIN_ITEMS, max_length=RECORDS_UPDATE_MAX_ITEMS
- )
-
-
class MetadataParsedQueryParam:
def __init__(self, string: str):
k, *v = string.split(":", maxsplit=1)
diff --git a/argilla-server/src/argilla_server/api/schemas/v1/records_bulk.py b/argilla-server/src/argilla_server/api/schemas/v1/records_bulk.py
index c9a945df4b..b225dca075 100644
--- a/argilla-server/src/argilla_server/api/schemas/v1/records_bulk.py
+++ b/argilla-server/src/argilla_server/api/schemas/v1/records_bulk.py
@@ -30,7 +30,7 @@ class RecordsBulk(BaseModel):
items: List[Record]
-class RecordsBulkWithUpdateInfo(RecordsBulk):
+class RecordsBulkWithUpdatedItemIds(RecordsBulk):
updated_item_ids: List[UUID]
diff --git a/argilla-server/src/argilla_server/api/schemas/v1/settings.py b/argilla-server/src/argilla_server/api/schemas/v1/settings.py
index a427386135..cb0810fbbd 100644
--- a/argilla-server/src/argilla_server/api/schemas/v1/settings.py
+++ b/argilla-server/src/argilla_server/api/schemas/v1/settings.py
@@ -31,6 +31,7 @@ class HuggingfaceSettings(BaseModel):
class ArgillaSettings(BaseModel):
show_huggingface_space_persistent_storage_warning: Optional[bool] = None
+ share_your_progress_enabled: bool = False
class Settings(BaseModel):
diff --git a/argilla-server/src/argilla_server/bulk/records_bulk.py b/argilla-server/src/argilla_server/bulk/records_bulk.py
index 8a53b3114a..6e281c09e7 100644
--- a/argilla-server/src/argilla_server/bulk/records_bulk.py
+++ b/argilla-server/src/argilla_server/bulk/records_bulk.py
@@ -16,6 +16,7 @@
from typing import Dict, List, Sequence, Tuple, Union
from uuid import UUID
+from datetime import UTC
from fastapi.encoders import jsonable_encoder
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
@@ -26,7 +27,7 @@
RecordsBulk,
RecordsBulkCreate,
RecordsBulkUpsert,
- RecordsBulkWithUpdateInfo,
+ RecordsBulkWithUpdatedItemIds,
)
from argilla_server.api.schemas.v1.responses import UserResponseCreate
from argilla_server.api.schemas.v1.suggestions import SuggestionCreate
@@ -39,7 +40,7 @@
fetch_records_by_ids_as_dict,
)
from argilla_server.errors.future import UnprocessableEntityError
-from argilla_server.models import Dataset, Record, Response, Suggestion, Vector, VectorSettings
+from argilla_server.models import Dataset, Record, Response, Suggestion, Vector
from argilla_server.search_engine import SearchEngine
from argilla_server.validators.records import RecordsBulkCreateValidator, RecordUpsertValidator
@@ -154,15 +155,11 @@ async def _upsert_records_vectors(
autocommit=False,
)
- @classmethod
- def _metadata_is_set(cls, record_create: RecordCreate) -> bool:
- return "metadata" in record_create.model_fields_set
-
class UpsertRecordsBulk(CreateRecordsBulk):
async def upsert_records_bulk(
self, dataset: Dataset, bulk_upsert: RecordsBulkUpsert, raise_on_error: bool = True
- ) -> RecordsBulkWithUpdateInfo:
+ ) -> RecordsBulkWithUpdatedItemIds:
found_records = await self._fetch_existing_dataset_records(dataset, bulk_upsert.items)
records = []
@@ -185,9 +182,14 @@ async def upsert_records_bulk(
external_id=record_upsert.external_id,
dataset_id=dataset.id,
)
- elif self._metadata_is_set(record_upsert):
- record.metadata_ = record_upsert.metadata
- record.updated_at = datetime.utcnow()
+ else:
+ if record_upsert.is_set("metadata"):
+ record.metadata_ = record_upsert.metadata
+ if record_upsert.is_set("fields"):
+ record.fields = jsonable_encoder(record_upsert.fields)
+
+ if self._db.is_modified(record):
+ record.updated_at = datetime.now(UTC)
records.append(record)
@@ -203,7 +205,7 @@ async def upsert_records_bulk(
await self._notify_upsert_record_events(records)
- return RecordsBulkWithUpdateInfo(
+ return RecordsBulkWithUpdatedItemIds(
items=records,
updated_item_ids=[record.id for record in found_records.values()],
)
diff --git a/argilla-server/src/argilla_server/contexts/datasets.py b/argilla-server/src/argilla_server/contexts/datasets.py
index 23cb39c0f8..61a9a03a96 100644
--- a/argilla-server/src/argilla_server/contexts/datasets.py
+++ b/argilla-server/src/argilla_server/contexts/datasets.py
@@ -12,38 +12,28 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-import copy
from collections import defaultdict
from datetime import datetime
from typing import (
TYPE_CHECKING,
- Any,
- Callable,
- Dict,
Iterable,
List,
- Literal,
Optional,
Sequence,
- Set,
- Tuple,
- TypeVar,
Union,
)
from uuid import UUID
import sqlalchemy
from fastapi.encoders import jsonable_encoder
-from sqlalchemy import Select, and_, func, select
+from sqlalchemy import Select, and_, func, select, exists
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import contains_eager, joinedload, selectinload
from argilla_server.api.schemas.v1.fields import FieldCreate
from argilla_server.api.schemas.v1.metadata_properties import MetadataPropertyCreate, MetadataPropertyUpdate
from argilla_server.api.schemas.v1.records import (
- RecordCreate,
RecordIncludeParam,
- RecordUpdateWithId,
)
from argilla_server.api.schemas.v1.responses import (
ResponseCreate,
@@ -101,7 +91,6 @@
if TYPE_CHECKING:
from argilla_server.api.schemas.v1.fields import FieldUpdate
- from argilla_server.api.schemas.v1.records import RecordUpdate
from argilla_server.api.schemas.v1.suggestions import SuggestionCreate
from argilla_server.api.schemas.v1.vector_settings import VectorSettingsUpdate
@@ -212,6 +201,10 @@ async def delete_dataset(db: AsyncSession, search_engine: SearchEngine, dataset:
return dataset
+async def dataset_has_records(db: AsyncSession, dataset: Dataset) -> bool:
+ return bool(await db.scalar(select(exists().where(Record.dataset_id == dataset.id))))
+
+
async def create_field(db: AsyncSession, dataset: Dataset, field_create: FieldCreate) -> Field:
if dataset.is_ready:
raise UnprocessableEntityError("Field cannot be created for a published dataset")
@@ -333,6 +326,7 @@ async def create_vector_settings(
return vector_settings
+# TODO: Move this function to the records.py context
async def get_records_by_ids(
db: AsyncSession,
records_ids: Iterable[UUID],
@@ -451,6 +445,7 @@ async def get_dataset_users_progress(db: AsyncSession, dataset: Dataset) -> List
.join(User)
.where(Record.dataset_id == dataset.id)
.group_by(User.username, Record.status, Response.status)
+ .order_by(User.inserted_at.asc())
)
annotators_progress = defaultdict(lambda: defaultdict(dict))
@@ -462,103 +457,6 @@ async def get_dataset_users_progress(db: AsyncSession, dataset: Dataset) -> List
return [{"username": username, **progress} for username, progress in annotators_progress.items()]
-_EXTRA_METADATA_FLAG = "extra"
-
-
-async def _validate_metadata(
- db: AsyncSession,
- dataset: Dataset,
- metadata: Dict[str, Any],
- metadata_properties: Optional[Dict[str, Union[MetadataProperty, Literal["extra"]]]] = None,
-) -> Dict[str, Union[MetadataProperty, Literal["extra"]]]:
- if metadata_properties is None:
- metadata_properties = {}
-
- for name, value in metadata.items():
- metadata_property = metadata_properties.get(name)
-
- if metadata_property is None:
- metadata_property = await MetadataProperty.get_by(db, name=name, dataset_id=dataset.id)
-
- # If metadata property does not exists but extra metadata is allowed, then we set a flag value to
- # avoid querying the database again
- if metadata_property is None and dataset.allow_extra_metadata:
- metadata_property = _EXTRA_METADATA_FLAG
- metadata_properties[name] = metadata_property
- elif metadata_property is not None:
- metadata_properties[name] = metadata_property
- else:
- raise ValueError(
- f"'{name}' metadata property does not exists for dataset '{dataset.id}' and extra metadata is"
- " not allowed for this dataset"
- )
-
- # If metadata property is not found and extra metadata is allowed, then we skip the value validation
- if metadata_property == _EXTRA_METADATA_FLAG:
- continue
-
- try:
- if value is not None:
- metadata_property.parsed_settings.check_metadata(value)
- except (UnprocessableEntityError, ValueError) as e:
- raise UnprocessableEntityError(f"'{name}' metadata property validation failed because {e}") from e
-
- return metadata_properties
-
-
-async def validate_user_exists(db: AsyncSession, user_id: UUID, users_ids: Optional[Set[UUID]]) -> Set[UUID]:
- if not users_ids:
- users_ids = set()
-
- if user_id not in users_ids:
- if not await accounts.user_exists(db, user_id):
- raise UnprocessableEntityError(f"user_id={str(user_id)} does not exist")
-
- users_ids.add(user_id)
-
- return users_ids
-
-
-async def _validate_vector(
- db: AsyncSession,
- dataset_id: UUID,
- vector_name: str,
- vector_value: List[float],
- vectors_settings: Optional[Dict[str, VectorSettingsSchema]] = None,
-) -> Dict[str, VectorSettingsSchema]:
- if vectors_settings is None:
- vectors_settings = {}
-
- vector_settings = vectors_settings.get(vector_name, None)
- if not vector_settings:
- vector_settings = await VectorSettings.get_by(db, name=vector_name, dataset_id=dataset_id)
- if not vector_settings:
- raise UnprocessableEntityError(
- f"vector with name={str(vector_name)} does not exist for dataset_id={str(dataset_id)}"
- )
-
- vector_settings = VectorSettingsSchema.model_validate(vector_settings)
- vectors_settings[vector_name] = vector_settings
-
- vector_settings.check_vector(vector_value)
-
- return vectors_settings
-
-
-async def _build_record(
- db: AsyncSession, dataset: Dataset, record_create: RecordCreate, caches: Dict[str, Any]
-) -> Record:
- _validate_record_fields(dataset, fields=record_create.fields)
- await _validate_record_metadata(db, dataset, record_create.metadata, caches["metadata_properties_cache"])
-
- return Record(
- fields=jsonable_encoder(record_create.fields),
- metadata_=record_create.metadata,
- external_id=record_create.external_id,
- dataset=dataset,
- )
-
-
async def _load_users_from_responses(responses: Union[Response, Iterable[Response]]) -> None:
if isinstance(responses, Response):
responses = [responses]
@@ -569,162 +467,6 @@ async def _load_users_from_responses(responses: Union[Response, Iterable[Respons
await response.awaitable_attrs.user
-async def _validate_record_metadata(
- db: AsyncSession,
- dataset: Dataset,
- metadata: Optional[Dict[str, Any]] = None,
- cache: Dict[str, Union[MetadataProperty, Literal["extra"]]] = {},
-) -> Dict[str, Union[MetadataProperty, Literal["extra"]]]:
- """Validate metadata for a record."""
- if not metadata:
- return cache
-
- try:
- cache = await _validate_metadata(db, dataset=dataset, metadata=metadata, metadata_properties=cache)
- return cache
- except (UnprocessableEntityError, ValueError) as e:
- raise UnprocessableEntityError(f"metadata is not valid: {e}") from e
-
-
-async def _build_record_suggestions(
- db: AsyncSession,
- record: Record,
- suggestions_create: Optional[List["SuggestionCreate"]],
- questions_cache: Optional[Dict[UUID, Question]] = None,
-) -> List[Suggestion]:
- """Create suggestions for a record."""
- if not suggestions_create:
- return []
-
- suggestions = []
- for suggestion_create in suggestions_create:
- try:
- if not questions_cache:
- questions_cache = {}
-
- question = questions_cache.get(suggestion_create.question_id, None)
- if not question:
- question = await Question.get(
- db, suggestion_create.question_id, options=[selectinload(Question.dataset)]
- )
- if not question:
- raise UnprocessableEntityError(f"question_id={str(suggestion_create.question_id)} does not exist")
- questions_cache[suggestion_create.question_id] = question
-
- SuggestionCreateValidator.validate(suggestion_create, question.parsed_settings, record)
-
- suggestions.append(
- Suggestion(
- type=suggestion_create.type,
- score=suggestion_create.score,
- value=jsonable_encoder(suggestion_create.value),
- agent=suggestion_create.agent,
- question_id=suggestion_create.question_id,
- record=record,
- )
- )
-
- except (UnprocessableEntityError, ValueError) as e:
- raise UnprocessableEntityError(
- f"suggestion for question_id={suggestion_create.question_id} is not valid: {e}"
- ) from e
-
- return suggestions
-
-
-VectorClass = TypeVar("VectorClass")
-
-
-async def _build_record_vectors(
- db: AsyncSession,
- dataset: Dataset,
- vectors_dict: Dict[str, List[float]],
- build_vector_func: Callable[[List[float], UUID], VectorClass],
- cache: Optional[Dict[str, VectorSettingsSchema]] = None,
-) -> List[VectorClass]:
- """Create vectors for a record."""
- if not vectors_dict:
- return []
-
- vectors = []
- for vector_name, vector_value in vectors_dict.items():
- try:
- cache = await _validate_vector(db, dataset.id, vector_name, vector_value, vectors_settings=cache)
- vectors.append(build_vector_func(vector_value, cache[vector_name].id))
- except (UnprocessableEntityError, ValueError) as e:
- raise UnprocessableEntityError(f"vector with name={vector_name} is not valid: {e}") from e
-
- return vectors
-
-
-async def _exists_records_with_ids(db: AsyncSession, dataset_id: UUID, records_ids: List[UUID]) -> List[UUID]:
- result = await db.execute(select(Record.id).filter(Record.dataset_id == dataset_id, Record.id.in_(records_ids)))
- return result.scalars().all()
-
-
-async def _build_record_update(
- db: AsyncSession, record: Record, record_update: "RecordUpdateWithId", caches: Optional[Dict[str, Any]] = None
-) -> Tuple[Dict[str, Any], Union[List[Suggestion], None], List[VectorSchema], bool, Dict[str, Any]]:
- if caches is None:
- caches = {
- "metadata_properties": {},
- "questions": {},
- "vector_settings": {},
- }
-
- params = record_update.model_dump(exclude_unset=True)
- needs_search_engine_update = False
- suggestions = None
- vectors = []
-
- if "metadata_" in params:
- metadata = params["metadata_"]
- needs_search_engine_update = True
- if metadata is not None:
- caches["metadata_properties"] = await _validate_record_metadata(
- db, record.dataset, metadata, caches["metadata_properties"]
- )
-
- if record_update.suggestions is not None:
- params.pop("suggestions")
- questions_ids = [suggestion.question_id for suggestion in record_update.suggestions]
- if len(questions_ids) != len(set(questions_ids)):
- raise UnprocessableEntityError("found duplicate suggestions question IDs")
- suggestions = await _build_record_suggestions(db, record, record_update.suggestions, caches["questions"])
-
- if record_update.vectors is not None:
- params.pop("vectors")
- vectors = await _build_record_vectors(
- db,
- record.dataset,
- record_update.vectors,
- build_vector_func=lambda value, vector_settings_id: VectorSchema(
- value=value, record_id=record_update.id, vector_settings_id=vector_settings_id
- ),
- cache=caches["vector_settings"],
- )
- needs_search_engine_update = True
-
- return params, suggestions, vectors, needs_search_engine_update, caches
-
-
-async def _preload_records_relationships_before_index(db: AsyncSession, records: List[Record]) -> None:
- for record in records:
- await _preload_record_relationships_before_index(db, record)
-
-
-async def _preload_record_relationships_before_index(db: AsyncSession, record: Record) -> None:
- await db.execute(
- select(Record)
- .filter_by(id=record.id)
- .options(
- selectinload(Record.responses).selectinload(Response.user),
- selectinload(Record.suggestions).selectinload(Suggestion.question),
- selectinload(Record.vectors),
- )
- )
-
-
async def preload_records_relationships_before_validate(db: AsyncSession, records: List[Record]) -> None:
await db.execute(
select(Record)
@@ -735,70 +477,6 @@ async def preload_records_relationships_before_validate(db: AsyncSession, record
)
-async def delete_records(
- db: AsyncSession, search_engine: "SearchEngine", dataset: Dataset, records_ids: List[UUID]
-) -> None:
- params = [Record.id.in_(records_ids), Record.dataset_id == dataset.id]
-
- records = (await db.execute(select(Record).filter(*params).order_by(Record.inserted_at.asc()))).scalars().all()
-
- deleted_record_events_v1 = []
- for record in records:
- deleted_record_events_v1.append(
- await build_record_event_v1(db, RecordEvent.deleted, record),
- )
-
- records = await Record.delete_many(db, conditions=params)
-
- await search_engine.delete_records(dataset=dataset, records=records)
-
- for deleted_record_event_v1 in deleted_record_events_v1:
- await deleted_record_event_v1.notify(db)
-
-
-async def update_record(
- db: AsyncSession, search_engine: "SearchEngine", record: Record, record_update: "RecordUpdate"
-) -> Record:
- params, suggestions, vectors, needs_search_engine_update, _ = await _build_record_update(
- db, record, RecordUpdateWithId(id=record.id, **record_update.model_dump(by_alias=True, exclude_unset=True))
- )
-
- # Remove existing suggestions
- if suggestions is not None:
- record.suggestions = []
- params["suggestions"] = suggestions
-
- async with db.begin_nested():
- record = await record.update(db, **params, replace_dict=True, autocommit=False)
-
- if vectors:
- await Vector.upsert_many(
- db, objects=vectors, constraints=[Vector.record_id, Vector.vector_settings_id], autocommit=False
- )
- await db.refresh(record, attribute_names=["vectors"])
-
- await db.commit()
-
- if needs_search_engine_update:
- await _preload_record_relationships_before_index(db, record)
- await search_engine.index_records(record.dataset, [record])
-
- await notify_record_event_v1(db, RecordEvent.updated, record)
-
- return record
-
-
-async def delete_record(db: AsyncSession, search_engine: "SearchEngine", record: Record) -> Record:
- deleted_record_event_v1 = await build_record_event_v1(db, RecordEvent.deleted, record)
-
- record = await record.delete(db)
-
- await search_engine.delete_records(dataset=record.dataset, records=[record])
- await deleted_record_event_v1.notify(db)
-
- return record
-
-
async def create_response(
db: AsyncSession, search_engine: SearchEngine, record: Record, user: User, response_create: ResponseCreate
) -> Response:
@@ -919,22 +597,6 @@ async def delete_response(db: AsyncSession, search_engine: SearchEngine, respons
return response
-def _validate_record_fields(dataset: Dataset, fields: Dict[str, Any]):
- fields_copy = copy.copy(fields or {})
- for field in dataset.fields:
- if field.required and not (field.name in fields_copy and fields_copy.get(field.name) is not None):
- raise UnprocessableEntityError(f"missing required value for field: {field.name!r}")
-
- value = fields_copy.pop(field.name, None)
- if value and not isinstance(value, str):
- raise UnprocessableEntityError(
- f"wrong value found for field {field.name!r}. Expected {str.__name__!r}, found {type(value).__name__!r}"
- )
-
- if fields_copy:
- raise UnprocessableEntityError(f"found fields values for non configured fields: {list(fields_copy.keys())!r}")
-
-
async def _preload_suggestion_relationships_before_index(db: AsyncSession, suggestion: Suggestion) -> None:
await db.execute(
select(Suggestion)
diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py
index 2085f1621e..3efedaf93f 100644
--- a/argilla-server/src/argilla_server/contexts/hub.py
+++ b/argilla-server/src/argilla_server/contexts/hub.py
@@ -13,21 +13,39 @@
# limitations under the License.
import io
+import os
import base64
+import json
-from typing import Any
+from uuid import uuid4
+from pathlib import Path
+from typing import Any, Optional, List
from typing_extensions import Self
+from tempfile import TemporaryDirectory
from PIL import Image
-from datasets import load_dataset, features
+from sqlalchemy.orm import selectinload
from sqlalchemy.ext.asyncio import AsyncSession
+from pydantic import BaseModel
+from huggingface_hub import HfApi, DatasetCard, DatasetCardData
+from datasets import Dataset as HFDataset, NamedSplit, load_dataset, features
-from argilla_server.models.database import Dataset
+from argilla_server.contexts import info
+from argilla_server.database import get_sync_db
+from argilla_server.models.database import Dataset, Record, Field, Question, MetadataProperty, VectorSettings
from argilla_server.search_engine import SearchEngine
from argilla_server.bulk.records_bulk import UpsertRecordsBulk
-from argilla_server.api.schemas.v1.datasets import HubDatasetMapping
+from argilla_server.api.schemas.v1.datasets import (
+ HubDatasetMapping,
+ Dataset as DatasetSchema,
+ DatasetDistribution as DatasetDistributionSchema,
+)
+from argilla_server.api.schemas.v1.fields import Field as FieldSchema
+from argilla_server.api.schemas.v1.questions import Question as QuestionSchema
from argilla_server.api.schemas.v1.records import RecordUpsert as RecordUpsertSchema
from argilla_server.api.schemas.v1.records_bulk import RecordsBulkUpsert as RecordsBulkUpsertSchema
+from argilla_server.api.schemas.v1.metadata_properties import MetadataProperty as MetadataPropertySchema
+from argilla_server.api.schemas.v1.vector_settings import VectorSettings as VectorSettingsSchema
from argilla_server.api.schemas.v1.suggestions import SuggestionCreate
BATCH_SIZE = 100
@@ -38,6 +56,9 @@
DATA_URL_DEFAULT_IMAGE_FORMAT = "png"
DATA_URL_DEFAULT_IMAGE_MIMETYPE = "image/png"
+HUB_RECORDS_YIELD_PER = 100
+HUB_DATASET_CARD_TEMPLATE_PATH = os.path.join(Path(__file__).parent, "hub_templates", "README.md.jinja2")
+
class HubDataset:
def __init__(self, name: str, subset: str, split: str, mapping: HubDatasetMapping):
@@ -189,6 +210,270 @@ def _row_suggestions(self, row: dict, dataset: Dataset) -> list:
return suggestions
+class HubDatasetSettingsSchema(BaseModel):
+ guidelines: Optional[str] = None
+ allow_extra_metadata: bool
+ distribution: DatasetDistributionSchema
+ # TODO: Add missing mapping attribute. Discuss it with Ben.
+ fields: List[FieldSchema]
+ questions: List[QuestionSchema]
+ metadata: List[MetadataPropertySchema]
+ vectors: List[VectorSettingsSchema]
+
+
+class HubDatasetExporter:
+ def __init__(self, dataset: Dataset):
+ self.dataset = dataset
+
+ # NOTE: Using this to bypass datasets generator cache.
+ # self is the only parameter received by _rows_generator function. Setting a different value to
+ # self.cache_version is bypassing the datasets generator cache.
+ self.cache_version = uuid4()
+
+ def export_to(self, name: str, subset: str, split: str, private: bool, token: str) -> None:
+ hf_dataset = HFDataset.from_generator(self._rows_generator, split=NamedSplit(split))
+ hf_dataset.push_to_hub(
+ repo_id=name,
+ config_name=subset,
+ private=private,
+ token=token,
+ )
+
+ self._push_extra_files_to_hub(repo_id=name, token=token)
+
+ def _rows_generator(self):
+ for session in get_sync_db():
+ query = (
+ session.query(Record)
+ .filter_by(dataset_id=self.dataset.id)
+ .order_by(Record.inserted_at.asc())
+ .options(
+ selectinload(Record.responses),
+ selectinload(Record.suggestions),
+ selectinload(Record.vectors),
+ )
+ )
+
+ for record in query.yield_per(HUB_RECORDS_YIELD_PER):
+ yield self._record_to_row(record)
+
+ def _record_to_row(self, record: Record) -> dict:
+ return (
+ self._row_attributes(record)
+ | self._row_fields(record)
+ | self._row_responses(record)
+ | self._row_suggestions(record)
+ | self._row_metadata(record)
+ # TODO: Is not possible to add extra metadata because the features need to be specified (even if with NULL) for all records.
+ # | self._row_extra_metadata(record)
+ | self._row_vectors(record)
+ )
+
+ def _row_attributes(self, record: Record) -> dict:
+ return {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ }
+
+ def _row_fields(self, record: Record) -> dict:
+ row_fields = {}
+ for field in self.dataset.fields:
+ feature_name = self._feature_name_for_field(field)
+ feature_value = record.fields.get(field.name)
+
+ if field.is_image and feature_value is not None and feature_value.startswith("data:"):
+ row_fields[feature_name] = Image.open(io.BytesIO(data_url_to_bytes(feature_value)))
+ else:
+ row_fields[feature_name] = feature_value
+
+ return row_fields
+
+ def _row_responses(self, record: Record) -> dict:
+ row_responses = {}
+ for question in self.dataset.questions:
+ feature_name = self._feature_name_for_response(question)
+ feature_name_users = self._feature_name_for_response_users(question)
+ feature_name_status = self._feature_name_for_response_status(question)
+
+ row_responses[feature_name] = None
+ row_responses[feature_name_users] = None
+ row_responses[feature_name_status] = None
+ for response in record.responses:
+ response_values = response.values or {}
+ response_value = response_values.get(question.name, {})
+
+ feature_value = response_value.get("value")
+
+ if row_responses[feature_name] is None:
+ row_responses[feature_name] = []
+ row_responses[feature_name_users] = []
+ row_responses[feature_name_status] = []
+
+ row_responses[feature_name].append(feature_value)
+ row_responses[feature_name_users].append(str(response.user_id))
+ row_responses[feature_name_status].append(response.status)
+
+ return row_responses
+
+ def _row_suggestions(self, record: Record) -> dict:
+ row_suggestions = {}
+ for suggestion in record.suggestions:
+ question = self.dataset.question_by_id(suggestion.question_id)
+ if question is None:
+ continue
+
+ feature_name = self._feature_name_for_suggestion(question)
+ feature_name_agent = self._feature_name_for_suggestion_agent(question)
+ feature_name_score = self._feature_name_for_suggestion_score(question)
+
+ row_suggestions[feature_name] = suggestion.value
+ row_suggestions[feature_name_agent] = suggestion.agent
+ row_suggestions[feature_name_score] = suggestion.score
+
+ return row_suggestions
+
+ def _row_metadata(self, record: Record) -> dict:
+ row_metadata = {}
+
+ record_metadata = record.metadata_ or {}
+ for metadata_property in self.dataset.metadata_properties:
+ feature_name = self._feature_name_for_metadata_property(metadata_property)
+ feature_value = record_metadata.get(metadata_property.name)
+
+ if metadata_property.is_terms and not isinstance(feature_value, list):
+ feature_value = [feature_value]
+
+ row_metadata[feature_name] = feature_value
+
+ return row_metadata
+
+ def _row_extra_metadata(self, record: Record) -> dict:
+ if not self.dataset.allow_extra_metadata:
+ return {}
+
+ row_extra_metadata = {}
+ record_metadata = record.metadata_ or {}
+ metadata_properties_names = [metadata_property.name for metadata_property in self.dataset.metadata_properties]
+ for metadata_name, metadata_value in record_metadata.items():
+ if metadata_name in metadata_properties_names:
+ continue
+
+ feature_name = self._feature_name_for_extra_metadata(metadata_name)
+ feature_value = metadata_value
+
+ row_extra_metadata[feature_name] = feature_value
+
+ return row_extra_metadata
+
+ def _row_vectors(self, record: Record) -> dict:
+ row_vectors = {}
+ for vector_settings in self.dataset.vectors_settings:
+ feature_name = self._feature_name_for_vector_settings(vector_settings)
+ feature_value = record.vector_value_by_vector_settings(vector_settings)
+
+ row_vectors[feature_name] = feature_value
+
+ return row_vectors
+
+ def _feature_name_for_field(self, field: Field) -> str:
+ return field.name
+
+ def _feature_name_for_response(self, question: Question) -> str:
+ return f"{question.name}.responses"
+
+ def _feature_name_for_response_users(self, question: Question) -> str:
+ return f"{self._feature_name_for_response(question)}.users"
+
+ def _feature_name_for_response_status(self, question: Question) -> str:
+ return f"{self._feature_name_for_response(question)}.status"
+
+ def _feature_name_for_suggestion(self, question: Question) -> str:
+ return f"{question.name}.suggestion"
+
+ def _feature_name_for_suggestion_agent(self, question: Question) -> str:
+ return f"{self._feature_name_for_suggestion(question)}.agent"
+
+ def _feature_name_for_suggestion_score(self, question: Question) -> str:
+ return f"{self._feature_name_for_suggestion(question)}.score"
+
+ def _feature_name_for_metadata_property(self, metadata_property: MetadataProperty) -> str:
+ return f"metadata.{metadata_property.name}"
+
+ def _feature_name_for_extra_metadata(self, extra_metadata_name: str) -> str:
+ return f"metadata.{extra_metadata_name}"
+
+ def _feature_name_for_vector_settings(self, vector_settings: VectorSettings) -> str:
+ return f"vector.{vector_settings.name}"
+
+ def _push_extra_files_to_hub(self, repo_id: str, token: str) -> None:
+ hf_api = HfApi(token=token)
+
+ with TemporaryDirectory() as temporary_directory:
+ argilla_directory = os.path.join(temporary_directory, ".argilla")
+ os.makedirs(argilla_directory)
+
+ self._create_version_file(argilla_directory)
+ self._create_dataset_file(argilla_directory)
+ self._create_settings_file(argilla_directory)
+ self._create_readme_file(temporary_directory, repo_id)
+
+ hf_api.upload_folder(
+ repo_id=repo_id,
+ repo_type="dataset",
+ folder_path=temporary_directory,
+ )
+
+ def _create_version_file(self, directory: str) -> None:
+ with open(os.path.join(directory, "version.json"), "w") as file:
+ file.write(json.dumps({"argilla": info.argilla_version()}, indent=2))
+
+ def _create_dataset_file(self, directory: str) -> None:
+ with open(os.path.join(directory, "dataset.json"), "w") as file:
+ file.write(DatasetSchema.model_validate(self.dataset).model_dump_json(indent=2))
+
+ def _create_settings_file(self, directory: str) -> None:
+ with open(os.path.join(directory, "settings.json"), "w") as file:
+ dataset_settings = HubDatasetSettingsSchema(
+ guidelines=self.dataset.guidelines,
+ allow_extra_metadata=self.dataset.allow_extra_metadata,
+ distribution=DatasetDistributionSchema.model_validate(self.dataset.distribution),
+ fields=[FieldSchema.model_validate(field) for field in self.dataset.fields],
+ questions=[QuestionSchema.model_validate(question) for question in self.dataset.questions],
+ metadata=[
+ MetadataPropertySchema.model_validate(metadata_property)
+ for metadata_property in self.dataset.metadata_properties
+ ],
+ vectors=[
+ VectorSettingsSchema.model_validate(vector_settings)
+ for vector_settings in self.dataset.vectors_settings
+ ],
+ )
+
+ file.write(dataset_settings.model_dump_json(indent=2))
+
+ def _create_readme_file(self, directory: str, repo_id: str) -> None:
+ card = DatasetCard.from_template(
+ card_data=DatasetCardData(
+ # size_categories=size_categories_parser(dataset_size),
+ tags=["rlfh", "argilla", "human-feedback"],
+ ),
+ template_path=HUB_DATASET_CARD_TEMPLATE_PATH,
+ repo_id=repo_id,
+ argilla_fields=self.dataset.fields,
+ argilla_questions=self.dataset.questions,
+ argilla_guidelines=self.dataset.guidelines or None,
+ argilla_vectors_settings=self.dataset.vectors_settings or None,
+ argilla_metadata_properties=self.dataset.metadata_properties,
+ # argilla_record=sample_argilla_record.to_dict(),
+ # huggingface_record=sample_huggingface_record,
+ )
+
+ card.save(os.path.join(directory, "README.md"))
+
+
def pil_image_to_data_url(image: Image.Image):
buffer = io.BytesIO()
@@ -200,3 +485,9 @@ def pil_image_to_data_url(image: Image.Image):
base64_image = base64.b64encode(buffer.getvalue()).decode("utf-8")
return f"data:{image_mimetype};base64,{base64_image}"
+
+
+def data_url_to_bytes(data_url: str):
+ header, encoded = data_url.split(",", 1)
+
+ return base64.b64decode(encoded)
diff --git a/argilla-server/src/argilla_server/contexts/hub_templates/README.md.jinja2 b/argilla-server/src/argilla_server/contexts/hub_templates/README.md.jinja2
new file mode 100644
index 0000000000..fd1600f19b
--- /dev/null
+++ b/argilla-server/src/argilla_server/contexts/hub_templates/README.md.jinja2
@@ -0,0 +1,169 @@
+---
+# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
+# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
+{{ card_data }}
+---
+
+# Dataset Card for {{ repo_id.split("/")[-1] }}
+
+{% if homepage_url %}
+- **Homepage:** [{{ homepage_url }}]({{ homepage_url }})
+{% endif %}
+{% if repo_url %}
+- **Repository:** [{{ repo_url }}]({{ repo_url }})
+{% endif %}
+{% if paper_url %}
+- **Paper:** [{{ paper_url }}]({{ paper_url }})
+{% endif %}
+{% if leaderboard_url %}
+- **Leaderboard:** [{{ leaderboard_url }}]({{ leaderboard_url }})
+{% endif %}
+{% if point_of_contact %}
+- **Point of Contact:** {{ point_of_contact }}
+{% endif %}
+
+This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
+
+
+## Using this dataset with Argilla
+
+To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
+
+```python
+import argilla as rg
+
+ds = rg.Dataset.from_hub("{{ repo_id }}", settings="auto")
+```
+
+This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
+
+## Using this dataset with `datasets`
+
+To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("{{ repo_id }}")
+```
+
+This will only load the records of the dataset, but not the Argilla settings.
+
+## Dataset Structure
+
+This dataset repo contains:
+
+* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`.
+* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
+* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
+
+The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
+
+### Fields
+
+The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.
+
+| Field Name | Title | Type | Required |
+| ---------- | ----- | ---- | -------- |
+{% for field in argilla_fields %}| {{ field.name }} | {{ field.title }} | {{ field.type }} | {{ field.required }} |
+{% endfor %}
+
+### Questions
+
+The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
+
+| Question Name | Title | Type | Required | Description | Values/Labels |
+| ------------- | ----- | ---- | -------- | ----------- | ------------- |
+{% for question in argilla_questions %}| {{ question.name }} | {{ question.title }} | {{ question.type }} | {{ question.required }} | {{ question.description | default("N/A", true) }} | {% if question.type in ["rating", "label_selection", "multi_label_selection", "ranking", "span"] %}{{ question.values | list }}{% else %}N/A{% endif %} |
+{% endfor %}
+
+
+{% if argilla_metadata_properties %}
+### Metadata
+
+The **metadata** is a dictionary that can be used to provide additional information about the dataset record.
+| Metadata Name | Title | Type | Values | Visible for Annotators |
+| ------------- | ----- | ---- | ------ | ---------------------- |
+{% for metadata in argilla_metadata_properties %} | {{ metadata.name }} | {{ metadata.title }} | {{ metadata.type }} | {% if metadata.values %}{{ metadata.values }}{% else %}{{ metadata.min }} - {{ metadata.max }}{% endif %} | {{ metadata.visible_for_annotators }} |
+{% endfor %}
+{% endif %}
+
+{% if argilla_vectors_settings %}
+### Vectors
+The **vectors** contain a vector representation of the record that can be used in search.
+
+| Vector Name | Title | Dimensions |
+|-------------|-------|------------|
+{% for vector in argilla_vectors_settings %}| {{ vector.name }} | {{ vector.title }} | [1, {{ vector.dimensions }}] |
+{% endfor %}
+{% endif %}
+
+### Data Splits
+
+The dataset contains a single split, which is `train`.
+
+## Dataset Creation
+
+### Curation Rationale
+
+{{ curation_rationale_section | default("[More Information Needed]", true)}}
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+{{ data_collection_section | default("[More Information Needed]", true)}}
+
+#### Who are the source language producers?
+
+{{ source_language_producers_section | default("[More Information Needed]", true)}}
+
+### Annotations
+
+#### Annotation guidelines
+
+{{ argilla_guidelines | default("[More Information Needed]", true)}}
+
+#### Annotation process
+
+{{ annotation_process_section | default("[More Information Needed]", true)}}
+
+#### Who are the annotators?
+
+{{ who_are_annotators_section | default("[More Information Needed]", true)}}
+
+### Personal and Sensitive Information
+
+{{ personal_and_sensitive_information_section | default("[More Information Needed]", true)}}
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+{{ social_impact_section | default("[More Information Needed]", true)}}
+
+### Discussion of Biases
+
+{{ discussion_of_biases_section | default("[More Information Needed]", true)}}
+
+### Other Known Limitations
+
+{{ known_limitations_section | default("[More Information Needed]", true)}}
+
+## Additional Information
+
+### Dataset Curators
+
+{{ dataset_curators_section | default("[More Information Needed]", true)}}
+
+### Licensing Information
+
+{{ licensing_information_section | default("[More Information Needed]", true)}}
+
+### Citation Information
+
+{{ citation_information_section | default("[More Information Needed]", true)}}
+
+### Contributions
+
+{{ contributions_section | default("[More Information Needed]", true)}}
diff --git a/argilla-server/src/argilla_server/contexts/records.py b/argilla-server/src/argilla_server/contexts/records.py
index d49ca5e9bf..1dccaca1af 100644
--- a/argilla-server/src/argilla_server/contexts/records.py
+++ b/argilla-server/src/argilla_server/contexts/records.py
@@ -12,15 +12,26 @@
# See the License for the specific language governing permissions and
# limitations under the License.
+from datetime import datetime
from typing import Dict, Sequence, Union, List, Tuple, Optional
from uuid import UUID
+from fastapi.encoders import jsonable_encoder
from sqlalchemy import select, and_, func, Select
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import selectinload, contains_eager
-from argilla_server.database import get_async_db
-from argilla_server.models import Dataset, Record, VectorSettings, Vector
+from argilla_server.api.schemas.v1.records import RecordUpdate
+from argilla_server.api.schemas.v1.vectors import Vector as VectorSchema
+
+from argilla_server.models import Dataset, Record, VectorSettings, Vector, Response, Suggestion
+from argilla_server.search_engine import SearchEngine
+from argilla_server.validators.records import RecordUpdateValidator
+from argilla_server.webhooks.v1.enums import RecordEvent
+from argilla_server.webhooks.v1.records import (
+ build_record_event as build_record_event_v1,
+ notify_record_event as notify_record_event_v1,
+)
async def list_dataset_records(
@@ -32,7 +43,7 @@ async def list_dataset_records(
with_suggestions: bool = False,
with_vectors: Union[bool, List[str]] = False,
) -> Tuple[Sequence[Record], int]:
- query = _record_by_dataset_id_query(
+ query = _build_list_records_query(
dataset_id=dataset_id,
offset=offset,
limit=limit,
@@ -80,7 +91,7 @@ async def fetch_records_by_external_ids_as_dict(
return {record.external_id: record for record in records_by_external_ids}
-def _record_by_dataset_id_query(
+def _build_list_records_query(
dataset_id,
offset: Optional[int] = None,
limit: Optional[int] = None,
@@ -113,3 +124,111 @@ def _record_by_dataset_id_query(
query = query.limit(limit)
return query.order_by(Record.inserted_at)
+
+
+async def _preload_record_relationships_before_index(db: AsyncSession, record: Record) -> None:
+ await db.execute(
+ select(Record)
+ .filter_by(id=record.id)
+ .options(
+ selectinload(Record.responses).selectinload(Response.user),
+ selectinload(Record.suggestions).selectinload(Suggestion.question),
+ selectinload(Record.vectors),
+ )
+ )
+
+
+async def update_record(
+ db: AsyncSession, search_engine: "SearchEngine", record: Record, record_update: "RecordUpdate"
+) -> Record:
+ if not record_update.has_changes():
+ return record
+
+ dataset = record.dataset
+
+ await RecordUpdateValidator.validate(record_update, dataset, record)
+
+ if record_update.is_set("fields"):
+ record.fields = record_update.fields
+
+ if record_update.is_set("metadata"):
+ record.metadata_ = record_update.metadata
+
+ if record_update.is_set("suggestions"):
+ # Delete all suggestions and replace them with the new ones
+ await Suggestion.delete_many(db, [Suggestion.record_id == record.id], autocommit=False)
+ await db.refresh(record, attribute_names=["suggestions"])
+
+ record.suggestions = [
+ Suggestion(
+ type=suggestion.type,
+ score=suggestion.score,
+ value=jsonable_encoder(suggestion.value),
+ agent=suggestion.agent,
+ question_id=suggestion.question_id,
+ record_id=record.id,
+ )
+ for suggestion in record_update.suggestions
+ ]
+
+ if record_update.vectors:
+ await Vector.upsert_many(
+ db,
+ objects=[
+ VectorSchema(
+ record_id=record.id,
+ vector_settings_id=dataset.vector_settings_by_name(name).id,
+ value=value,
+ )
+ for name, value in record_update.vectors.items()
+ ],
+ constraints=[Vector.record_id, Vector.vector_settings_id],
+ autocommit=False,
+ )
+ await db.refresh(record, attribute_names=["vectors"])
+
+ record.updated_at = datetime.utcnow()
+ await record.save(db, autocommit=True)
+
+ await _preload_record_relationships_before_index(db, record)
+ await search_engine.index_records(record.dataset, [record])
+
+ await notify_record_event_v1(db, RecordEvent.updated, record)
+
+ return record
+
+
+async def delete_record(db: AsyncSession, search_engine: "SearchEngine", record: Record) -> Record:
+ deleted_record_event_v1 = await build_record_event_v1(db, RecordEvent.deleted, record)
+ record = await record.delete(db=db, autocommit=True)
+
+ await search_engine.delete_records(dataset=record.dataset, records=[record])
+
+ await deleted_record_event_v1.notify(db)
+
+ return record
+
+
+async def delete_records(
+ db: AsyncSession, search_engine: "SearchEngine", dataset: Dataset, records_ids: List[UUID]
+) -> None:
+ params = [Record.id.in_(records_ids), Record.dataset_id == dataset.id]
+
+ records = (await db.execute(select(Record).filter(*params).order_by(Record.inserted_at.asc()))).scalars().all()
+
+ deleted_record_events_v1 = []
+ for record in records:
+ deleted_record_events_v1.append(
+ await build_record_event_v1(db, RecordEvent.deleted, record),
+ )
+
+ records = await Record.delete_many(
+ db,
+ conditions=params,
+ autocommit=True,
+ )
+
+ await search_engine.delete_records(dataset=dataset, records=records)
+
+ for deleted_record_event_v1 in deleted_record_events_v1:
+ await deleted_record_event_v1.notify(db)
diff --git a/argilla-server/src/argilla_server/contexts/settings.py b/argilla-server/src/argilla_server/contexts/settings.py
index c7bfb542a7..a922adbd65 100644
--- a/argilla-server/src/argilla_server/contexts/settings.py
+++ b/argilla-server/src/argilla_server/contexts/settings.py
@@ -27,7 +27,7 @@ def get_settings() -> Settings:
def _get_argilla_settings() -> ArgillaSettings:
- argilla_settings = ArgillaSettings()
+ argilla_settings = ArgillaSettings(share_your_progress_enabled=settings.enable_share_your_progress)
if _get_huggingface_settings():
argilla_settings.show_huggingface_space_persistent_storage_warning = (
diff --git a/argilla-server/src/argilla_server/database.py b/argilla-server/src/argilla_server/database.py
index 41f20d42d1..30648b6f30 100644
--- a/argilla-server/src/argilla_server/database.py
+++ b/argilla-server/src/argilla_server/database.py
@@ -11,19 +11,22 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
+
import os
+
from collections import OrderedDict
-from typing import AsyncGenerator, Optional
+from typing import AsyncGenerator, Optional, Generator
-from sqlalchemy import event, make_url
+from sqlalchemy import create_engine, event, make_url
from sqlalchemy.engine import Engine
from sqlalchemy.engine.interfaces import IsolationLevel
from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine, AsyncSession
-from sqlalchemy.dialects.sqlite.aiosqlite import AsyncAdapt_aiosqlite_connection
+from sqlalchemy.orm import sessionmaker, scoped_session, Session
-import argilla_server
from argilla_server.settings import settings
+import argilla_server
+
ALEMBIC_CONFIG_FILE = os.path.normpath(os.path.join(os.path.dirname(argilla_server.__file__), "alembic.ini"))
TAGGED_REVISIONS = OrderedDict(
@@ -44,17 +47,39 @@
@event.listens_for(Engine, "connect")
def set_sqlite_pragma(dbapi_connection, connection_record):
- if isinstance(dbapi_connection, AsyncAdapt_aiosqlite_connection):
+ if settings.database_is_sqlite:
cursor = dbapi_connection.cursor()
cursor.execute("PRAGMA foreign_keys = ON")
cursor.close()
+def database_url_sync() -> str:
+ """
+ Returns a "sync" version of the configured database URL. This may be useful in cases we don't need
+ an asynchronous connection, like running database migration inside the alembic script.
+ """
+ database_url = make_url(settings.database_url)
+ return settings.database_url.replace(f"+{database_url.get_driver_name()}", "")
+
+
+sync_engine = create_engine(database_url_sync(), **settings.database_engine_args)
+
async_engine = create_async_engine(settings.database_url, **settings.database_engine_args)
+SyncSessionLocal = scoped_session(sessionmaker(autocommit=False, expire_on_commit=False, bind=sync_engine))
+
AsyncSessionLocal = async_sessionmaker(autocommit=False, expire_on_commit=False, bind=async_engine)
+def get_sync_db() -> Generator[Session, None, None]:
+ db = SyncSessionLocal()
+
+ try:
+ yield db
+ finally:
+ db.close()
+
+
async def get_async_db() -> AsyncGenerator[AsyncSession, None]:
async for db in _get_async_db():
yield db
@@ -70,12 +95,3 @@ async def _get_async_db(isolation_level: Optional[IsolationLevel] = None) -> Asy
yield db
finally:
await db.close()
-
-
-def database_url_sync() -> str:
- """
- Returns a "sync" version of the configured database URL. This may be useful in cases we don't need
- an asynchronous connection, like running database migration inside the alembic script.
- """
- database_url = make_url(settings.database_url)
- return settings.database_url.replace(f"+{database_url.get_driver_name()}", "")
diff --git a/argilla-server/src/argilla_server/jobs/hub_jobs.py b/argilla-server/src/argilla_server/jobs/hub_jobs.py
index bfc74b503a..d115d2406b 100644
--- a/argilla-server/src/argilla_server/jobs/hub_jobs.py
+++ b/argilla-server/src/argilla_server/jobs/hub_jobs.py
@@ -20,7 +20,7 @@
from argilla_server.models import Dataset
from argilla_server.settings import settings
-from argilla_server.contexts.hub import HubDataset
+from argilla_server.contexts.hub import HubDataset, HubDatasetExporter
from argilla_server.database import AsyncSessionLocal
from argilla_server.search_engine.base import SearchEngine
from argilla_server.api.schemas.v1.datasets import HubDatasetMapping
@@ -50,3 +50,22 @@ async def import_dataset_from_hub_job(name: str, subset: str, split: str, datase
.take(HUB_DATASET_TAKE_ROWS)
.import_to(db, search_engine, dataset)
)
+
+
+@job(DEFAULT_QUEUE, timeout=JOB_TIMEOUT_DISABLED, retry=Retry(max=3))
+async def export_dataset_to_hub_job(
+ name: str, subset: str, split: str, private: bool, token: str, dataset_id: UUID
+) -> None:
+ async with AsyncSessionLocal() as db:
+ dataset = await Dataset.get_or_raise(
+ db,
+ dataset_id,
+ options=[
+ selectinload(Dataset.fields),
+ selectinload(Dataset.questions),
+ selectinload(Dataset.metadata_properties),
+ selectinload(Dataset.vectors_settings),
+ ],
+ )
+
+ HubDatasetExporter(dataset).export_to(name, subset, split, private, token)
diff --git a/argilla-server/src/argilla_server/models/database.py b/argilla-server/src/argilla_server/models/database.py
index ef57ecd6b6..b0251ad9af 100644
--- a/argilla-server/src/argilla_server/models/database.py
+++ b/argilla-server/src/argilla_server/models/database.py
@@ -84,21 +84,25 @@ class Field(DatabaseModel):
__table_args__ = (UniqueConstraint("name", "dataset_id", name="field_name_dataset_id_uq"),)
@property
- def is_text(self):
+ def is_text(self) -> bool:
return self.settings.get("type") == FieldType.text
@property
- def is_image(self):
+ def is_image(self) -> bool:
return self.settings.get("type") == FieldType.image
@property
- def is_chat(self):
+ def is_chat(self) -> bool:
return self.settings.get("type") == FieldType.chat
@property
- def is_custom(self):
+ def is_custom(self) -> bool:
return self.settings.get("type") == FieldType.custom
+ @property
+ def type(self) -> FieldType:
+ return FieldType(self.settings["type"])
+
def __repr__(self):
return (
f"Field(id={str(self.id)!r}, name={self.name!r}, required={self.required!r}, "
@@ -125,7 +129,7 @@ class Response(DatabaseModel):
__upsertable_columns__ = {"values", "status"}
@property
- def is_submitted(self):
+ def is_submitted(self) -> bool:
return self.status == ResponseStatus.submitted
def __repr__(self):
@@ -306,10 +310,22 @@ def is_multi_label_selection(self) -> bool:
def is_rating(self) -> bool:
return self.settings.get("type") == QuestionType.rating
+ @property
+ def is_ranking(self) -> bool:
+ return self.settings.get("type") == QuestionType.ranking
+
+ @property
+ def is_span(self) -> bool:
+ return self.settings.get("type") == QuestionType.span
+
@property
def type(self) -> QuestionType:
return QuestionType(self.settings["type"])
+ @property
+ def values(self) -> List[Any]:
+ return [option["value"] for option in self.settings.get("options", [])]
+
def __repr__(self):
return (
f"Question(id={str(self.id)!r}, name={self.name!r}, required={self.required!r}, "
@@ -331,10 +347,26 @@ class MetadataProperty(DatabaseModel):
__table_args__ = (UniqueConstraint("name", "dataset_id", name="metadata_property_name_dataset_id_uq"),)
+ @property
+ def is_terms(self) -> bool:
+ return self.settings.get("type") == MetadataPropertyType.terms
+
+ @property
+ def is_integer(self) -> bool:
+ return self.settings.get("type") == MetadataPropertyType.integer
+
+ @property
+ def is_float(self) -> bool:
+ return self.settings.get("type") == MetadataPropertyType.float
+
@property
def type(self) -> MetadataPropertyType:
return MetadataPropertyType(self.settings["type"])
+ @property
+ def values(self) -> List[Any]:
+ return self.settings.get("values", [])
+
@property
def parsed_settings(self) -> MetadataPropertySettings:
return TypeAdapter(MetadataPropertySettings).validate_python(self.settings)
@@ -437,11 +469,11 @@ class Dataset(DatabaseModel):
__table_args__ = (UniqueConstraint("name", "workspace_id", name="dataset_name_workspace_id_uq"),)
@property
- def is_draft(self):
+ def is_draft(self) -> bool:
return self.status == DatasetStatus.draft
@property
- def is_ready(self):
+ def is_ready(self) -> bool:
return self.status == DatasetStatus.ready
@property
@@ -552,15 +584,15 @@ class User(DatabaseModel):
)
@property
- def is_owner(self):
+ def is_owner(self) -> bool:
return self.role == UserRole.owner
@property
- def is_admin(self):
+ def is_admin(self) -> bool:
return self.role == UserRole.admin
@property
- def is_annotator(self):
+ def is_annotator(self) -> bool:
return self.role == UserRole.annotator
async def is_member(self, workspace_id: UUID) -> bool:
diff --git a/argilla-server/src/argilla_server/settings.py b/argilla-server/src/argilla_server/settings.py
index 52415cd6f3..12b4358547 100644
--- a/argilla-server/src/argilla_server/settings.py
+++ b/argilla-server/src/argilla_server/settings.py
@@ -149,6 +149,11 @@ class Settings(BaseSettings):
description="The telemetry configuration for Hugging Face hub telemetry. ",
)
+ enable_share_your_progress: bool = Field(
+ default=False,
+ description="Share your progress feature for community initiatives. Default=False",
+ )
+
# See also the telemetry.py module
@field_validator("enable_telemetry", mode="before")
@classmethod
diff --git a/argilla-server/src/argilla_server/validators/records.py b/argilla-server/src/argilla_server/validators/records.py
index 66d4a5b129..2f6e23109a 100644
--- a/argilla-server/src/argilla_server/validators/records.py
+++ b/argilla-server/src/argilla_server/validators/records.py
@@ -22,7 +22,7 @@
from sqlalchemy.ext.asyncio import AsyncSession
from argilla_server.api.schemas.v1.chat import ChatFieldValue
-from argilla_server.api.schemas.v1.records import RecordCreate, RecordUpsert
+from argilla_server.api.schemas.v1.records import RecordCreate, RecordUpsert, RecordUpdate
from argilla_server.api.schemas.v1.records_bulk import RecordsBulkCreate
from argilla_server.api.schemas.v1.responses import UserResponseCreate
from argilla_server.api.schemas.v1.suggestions import SuggestionCreate
@@ -266,18 +266,32 @@ async def validate(cls, record_create: RecordCreate, dataset: Dataset) -> None:
await cls._validate_responses(record_create.responses, dataset, record=record)
+class RecordUpdateValidator(RecordValidatorBase):
+ @classmethod
+ async def validate(cls, record_update: RecordUpdate, dataset: Dataset, record: Record) -> None:
+ if record_update.is_set("fields"):
+ cls._validate_fields(record_update.fields, dataset)
+
+ cls._validate_metadata(record_update.metadata, dataset)
+ cls._validate_vectors(record_update.vectors, dataset)
+ cls._validate_suggestions(record_update.suggestions, dataset, record=record)
+
+
class RecordUpsertValidator(RecordValidatorBase):
@classmethod
async def validate(cls, record_upsert: RecordUpsert, dataset: Dataset, record: Optional[Record]) -> None:
if record is None:
- cls._validate_fields(record_upsert.fields, dataset)
- record = Record(fields=record_upsert.fields, dataset=dataset)
+ return await RecordCreateValidator.validate(record_upsert, dataset)
+
+ else:
+ if record_upsert.is_set("fields"):
+ cls._validate_fields(record_upsert.fields, dataset)
- cls._validate_metadata(record_upsert.metadata, dataset)
- cls._validate_vectors(record_upsert.vectors, dataset)
+ cls._validate_metadata(record_upsert.metadata, dataset)
+ cls._validate_vectors(record_upsert.vectors, dataset)
+ cls._validate_suggestions(record_upsert.suggestions, dataset, record=record)
- cls._validate_suggestions(record_upsert.suggestions, dataset, record=record)
- await cls._validate_responses(record_upsert.responses, dataset, record=record)
+ await cls._validate_responses(record_upsert.responses, dataset, record=record)
class RecordsBulkCreateValidator:
diff --git a/argilla-server/tests/factories.py b/argilla-server/tests/factories.py
index 8d299da4f7..d655fdd3c9 100644
--- a/argilla-server/tests/factories.py
+++ b/argilla-server/tests/factories.py
@@ -156,14 +156,14 @@ class Meta:
model = WorkspaceUser
-class WorkspaceFactory(BaseFactory):
+class WorkspaceSyncFactory(BaseSyncFactory):
class Meta:
model = Workspace
name = factory.Sequence(lambda n: f"workspace-{n}")
-class WorkspaceSyncFactory(BaseSyncFactory):
+class WorkspaceFactory(BaseFactory):
class Meta:
model = Workspace
@@ -198,10 +198,23 @@ class AdminFactory(UserFactory):
role = UserRole.admin
+class AnnotatorSyncFactory(UserSyncFactory):
+ role = UserRole.annotator
+
+
class AnnotatorFactory(UserFactory):
role = UserRole.annotator
+class DatasetSyncFactory(BaseSyncFactory):
+ class Meta:
+ model = Dataset
+
+ name = factory.Sequence(lambda n: f"dataset-{n}")
+ distribution = {"strategy": DatasetDistributionStrategy.overlap, "min_submitted": 1}
+ workspace = factory.SubFactory(WorkspaceSyncFactory)
+
+
class DatasetFactory(BaseFactory):
class Meta:
model = Dataset
@@ -219,6 +232,18 @@ class Meta:
user = factory.SubFactory(UserFactory)
+class RecordSyncFactory(BaseSyncFactory):
+ class Meta:
+ model = Record
+
+ fields = {
+ "text": "This is a text",
+ "sentiment": "neutral",
+ }
+ external_id = factory.Sequence(lambda n: f"external-id-{n}")
+ dataset = factory.SubFactory(DatasetSyncFactory)
+
+
class RecordFactory(BaseFactory):
class Meta:
model = Record
@@ -231,6 +256,14 @@ class Meta:
dataset = factory.SubFactory(DatasetFactory)
+class ResponseSyncFactory(BaseSyncFactory):
+ class Meta:
+ model = Response
+
+ record = factory.SubFactory(RecordSyncFactory)
+ user = factory.SubFactory(UserSyncFactory)
+
+
class ResponseFactory(BaseFactory):
class Meta:
model = Response
@@ -239,6 +272,16 @@ class Meta:
user = factory.SubFactory(UserFactory)
+class VectorSettingsSyncFactory(BaseSyncFactory):
+ class Meta:
+ model = VectorSettings
+
+ name = factory.Sequence(lambda n: f"vector-{n}")
+ title = "Vector Title"
+ dimensions = factory.LazyAttribute(lambda _: random.randrange(16, 1024))
+ dataset = factory.SubFactory(DatasetSyncFactory)
+
+
class VectorSettingsFactory(BaseFactory):
class Meta:
model = VectorSettings
@@ -249,6 +292,14 @@ class Meta:
dataset = factory.SubFactory(DatasetFactory)
+class VectorSyncFactory(BaseSyncFactory):
+ class Meta:
+ model = Vector
+
+ record = factory.SubFactory(RecordSyncFactory)
+ vector_settings = factory.SubFactory(VectorSettingsSyncFactory)
+
+
class VectorFactory(BaseFactory):
class Meta:
model = Vector
@@ -257,6 +308,15 @@ class Meta:
vector_settings = factory.SubFactory(VectorSettingsFactory)
+class FieldSyncFactory(BaseSyncFactory):
+ class Meta:
+ model = Field
+
+ name = factory.Sequence(lambda n: f"field-{n}")
+ title = "Field Title"
+ dataset = factory.SubFactory(DatasetSyncFactory)
+
+
class FieldFactory(BaseFactory):
class Meta:
model = Field
@@ -294,6 +354,16 @@ class CustomFieldFactory(FieldFactory):
}
+class MetadataPropertySyncFactory(BaseSyncFactory):
+ class Meta:
+ model = MetadataProperty
+
+ name = factory.Sequence(lambda n: f"metadata-property-{n}")
+ title = "Metadata property title"
+ allowed_roles = [UserRole.admin, UserRole.annotator]
+ dataset = factory.SubFactory(DatasetSyncFactory)
+
+
class MetadataPropertyFactory(BaseFactory):
class Meta:
model = MetadataProperty
@@ -327,6 +397,17 @@ class FloatMetadataPropertyFactory(MetadataPropertyFactory):
settings = {"type": MetadataPropertyType.float}
+class QuestionSyncFactory(BaseSyncFactory):
+ class Meta:
+ model = Question
+
+ name = factory.Sequence(lambda n: f"question-{n}")
+ title = "Question Title"
+ description = "Question Description"
+ dataset = factory.SubFactory(DatasetSyncFactory)
+ settings = {}
+
+
class QuestionFactory(BaseFactory):
class Meta:
model = Question
@@ -421,6 +502,15 @@ class SpanQuestionFactory(QuestionFactory):
}
+class SuggestionSyncFactory(BaseSyncFactory):
+ class Meta:
+ model = Suggestion
+
+ record = factory.SubFactory(RecordSyncFactory)
+ question = factory.SubFactory(QuestionSyncFactory)
+ value = "negative"
+
+
class SuggestionFactory(BaseFactory):
class Meta:
model = Suggestion
diff --git a/argilla-server/tests/unit/api/handlers/v1/datasets/records/records_bulk/test_upsert_dataset_records_bulk.py b/argilla-server/tests/unit/api/handlers/v1/datasets/records/records_bulk/test_upsert_dataset_records_bulk.py
index 49649973f8..731a8fa947 100644
--- a/argilla-server/tests/unit/api/handlers/v1/datasets/records/records_bulk/test_upsert_dataset_records_bulk.py
+++ b/argilla-server/tests/unit/api/handlers/v1/datasets/records/records_bulk/test_upsert_dataset_records_bulk.py
@@ -93,7 +93,6 @@ async def test_upsert_dataset_records_with_empty_fields_updating_record(
},
{
"id": str(record.id),
- "fields": {},
},
],
},
@@ -101,8 +100,88 @@ async def test_upsert_dataset_records_with_empty_fields_updating_record(
assert response.status_code == 200
- assert record.fields == {"text-field": "value"}
assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 2
+ assert record.fields == {"text-field": "value"}
+
+ async def test_upsert_dataset_records_bulk_update_record_fields(
+ self, db: AsyncSession, async_client: AsyncClient, owner_auth_header: dict
+ ):
+ dataset = await DatasetFactory.create(status=DatasetStatus.ready)
+
+ await TextFieldFactory.create(name="text-field", dataset=dataset)
+
+ record = await RecordFactory.create(fields={"text-field": "value"}, dataset=dataset)
+
+ response = await async_client.put(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "items": [
+ {
+ "id": str(record.id),
+ "fields": {
+ "text-field": "New value",
+ },
+ },
+ ],
+ },
+ )
+
+ assert response.status_code == 200
+ assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 1
+ assert record.fields == {"text-field": "New value"}
+
+ async def test_upsert_dataset_records_bulk_update_record_fields_with_empty_dict(
+ self, db: AsyncSession, async_client: AsyncClient, owner_auth_header: dict
+ ):
+ dataset = await DatasetFactory.create(status=DatasetStatus.ready)
+
+ await TextFieldFactory.create(name="text-field", dataset=dataset)
+
+ record = await RecordFactory.create(fields={"text-field": "value"}, dataset=dataset)
+
+ response = await async_client.put(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "items": [
+ {
+ "id": str(record.id),
+ "fields": {},
+ },
+ ],
+ },
+ )
+
+ assert response.status_code == 422
+ assert response.json() == {"detail": "Record at position 0 is not valid because fields cannot be empty"}
+
+ async def test_upsert_dataset_records_bulk_update_record_fields_with_wrong_fields(
+ self, db: AsyncSession, async_client: AsyncClient, owner_auth_header: dict
+ ):
+ dataset = await DatasetFactory.create(status=DatasetStatus.ready)
+
+ await TextFieldFactory.create(name="text-field", dataset=dataset, required=True)
+
+ record = await RecordFactory.create(fields={"text-field": "value"}, dataset=dataset)
+
+ response = await async_client.put(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "items": [
+ {
+ "id": str(record.id),
+ "fields": {"text-field": None},
+ },
+ ],
+ },
+ )
+
+ assert response.status_code == 422
+ assert response.json() == {
+ "detail": "Record at position 0 is not valid because missing required value for field: 'text-field'"
+ }
async def test_upsert_dataset_records_bulk_updates_records_status(
self, async_client: AsyncClient, owner: User, owner_auth_header: dict
diff --git a/argilla-server/tests/unit/api/handlers/v1/datasets/test_export_dataset_to_hub.py b/argilla-server/tests/unit/api/handlers/v1/datasets/test_export_dataset_to_hub.py
new file mode 100644
index 0000000000..9ba926cd2b
--- /dev/null
+++ b/argilla-server/tests/unit/api/handlers/v1/datasets/test_export_dataset_to_hub.py
@@ -0,0 +1,342 @@
+# Copyright 2021-present, the Recognai S.L. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pytest
+
+from uuid import UUID, uuid4
+from rq.job import JobStatus
+from httpx import AsyncClient
+
+from argilla_server.jobs.queues import DEFAULT_QUEUE
+from argilla_server.constants import API_KEY_HEADER_NAME
+
+from tests.factories import AdminFactory, DatasetFactory, AnnotatorFactory, RecordFactory
+
+
+@pytest.mark.asyncio
+class TestExportDatasetToHub:
+ def url(self, dataset_id: UUID) -> str:
+ return f"/api/v1/datasets/{dataset_id}/export"
+
+ async def test_export_dataset_to_hub(self, async_client: AsyncClient, owner_auth_header: dict):
+ dataset = await DatasetFactory.create()
+ await RecordFactory.create(dataset=dataset)
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "name": "hf-username/dataset-name",
+ "token": "hf-secret-token",
+ },
+ )
+
+ assert response.status_code == 202
+
+ response_json = response.json()
+ assert response_json["id"]
+ assert response_json["status"] == JobStatus.QUEUED
+
+ assert DEFAULT_QUEUE.count == 1
+ assert DEFAULT_QUEUE.jobs[0].kwargs == {
+ "name": "hf-username/dataset-name",
+ "subset": "default",
+ "split": "train",
+ "private": False,
+ "token": "hf-secret-token",
+ "dataset_id": dataset.id,
+ }
+
+ async def test_export_dataset_to_hub_with_non_default_values(
+ self, async_client: AsyncClient, owner_auth_header: dict
+ ):
+ dataset = await DatasetFactory.create()
+ await RecordFactory.create(dataset=dataset)
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "name": "hf-username/dataset-name",
+ "subset": "hf-subset",
+ "split": "hf-split",
+ "private": True,
+ "token": "hf-secret-token",
+ },
+ )
+
+ assert response.status_code == 202
+
+ response_json = response.json()
+ assert response_json["id"]
+ assert response_json["status"] == JobStatus.QUEUED
+
+ assert DEFAULT_QUEUE.count == 1
+ assert DEFAULT_QUEUE.jobs[0].kwargs == {
+ "name": "hf-username/dataset-name",
+ "subset": "hf-subset",
+ "split": "hf-split",
+ "private": True,
+ "token": "hf-secret-token",
+ "dataset_id": dataset.id,
+ }
+
+ async def test_export_dataset_to_hub_as_admin(self, async_client: AsyncClient):
+ dataset = await DatasetFactory.create()
+ await RecordFactory.create(dataset=dataset)
+
+ admin = await AdminFactory.create(workspaces=[dataset.workspace])
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers={API_KEY_HEADER_NAME: admin.api_key},
+ json={
+ "name": "username/dataset-name",
+ "token": "secret-hf-token",
+ },
+ )
+
+ assert response.status_code == 202
+
+ assert DEFAULT_QUEUE.count == 1
+
+ async def test_export_dataset_to_hub_as_admin_from_different_workspace(self, async_client: AsyncClient):
+ dataset = await DatasetFactory.create()
+ admin = await AdminFactory.create()
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers={API_KEY_HEADER_NAME: admin.api_key},
+ json={
+ "name": "username/dataset-name",
+ "token": "secret-hf-token",
+ },
+ )
+
+ assert response.status_code == 403
+ assert response.json() == {
+ "detail": {
+ "code": "argilla.api.errors::ForbiddenOperationError",
+ "params": {"detail": "Operation not allowed"},
+ },
+ }
+
+ assert DEFAULT_QUEUE.count == 0
+
+ async def test_export_dataset_to_hub_as_annotator(self, async_client: AsyncClient):
+ dataset = await DatasetFactory.create()
+ annotator = await AnnotatorFactory.create(workspaces=[dataset.workspace])
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers={API_KEY_HEADER_NAME: annotator.api_key},
+ json={
+ "name": "username/dataset-name",
+ "token": "secret-hf-token",
+ },
+ )
+
+ assert response.status_code == 403
+ assert response.json() == {
+ "detail": {
+ "code": "argilla.api.errors::ForbiddenOperationError",
+ "params": {"detail": "Operation not allowed"},
+ },
+ }
+
+ assert DEFAULT_QUEUE.count == 0
+
+ async def test_export_dataset_to_hub_without_authentication(self, async_client: AsyncClient):
+ dataset = await DatasetFactory.create()
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ json={
+ "name": "username/dataset-name",
+ "token": "secret-hf-token",
+ },
+ )
+
+ assert response.status_code == 401
+ assert response.json() == {
+ "detail": {
+ "code": "argilla.api.errors::UnauthorizedError",
+ "params": {
+ "detail": "Could not validate credentials",
+ },
+ },
+ }
+
+ assert DEFAULT_QUEUE.count == 0
+
+ async def test_export_dataset_to_hub_with_nonexistent_dataset_id(
+ self, async_client: AsyncClient, owner_auth_header: dict
+ ):
+ await DatasetFactory.create()
+
+ nonexistent_dataset_id = uuid4()
+
+ response = await async_client.post(
+ self.url(nonexistent_dataset_id),
+ headers=owner_auth_header,
+ json={
+ "name": "username/dataset-name",
+ "token": "secret-hf-token",
+ },
+ )
+
+ assert response.status_code == 404
+ assert response.json() == {"detail": f"Dataset with id `{nonexistent_dataset_id}` not found"}
+
+ assert DEFAULT_QUEUE.count == 0
+
+ async def test_export_dataset_with_empty_name(self, async_client: AsyncClient, owner_auth_header: dict):
+ dataset = await DatasetFactory.create()
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "name": "",
+ "token": "hf-secret-token",
+ },
+ )
+
+ assert response.status_code == 422
+ assert response.json() == {
+ "detail": {
+ "code": "argilla.api.errors::ValidationError",
+ "params": {
+ "errors": [
+ {
+ "loc": ["body", "name"],
+ "msg": "String should have at least 1 character",
+ "type": "string_too_short",
+ },
+ ],
+ },
+ },
+ }
+
+ assert DEFAULT_QUEUE.count == 0
+
+ async def test_export_dataset_with_empty_subset(self, async_client: AsyncClient, owner_auth_header: dict):
+ dataset = await DatasetFactory.create()
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "name": "hf-username/dataset-name",
+ "subset": "",
+ "token": "hf-secret-token",
+ },
+ )
+
+ assert response.status_code == 422
+ assert response.json() == {
+ "detail": {
+ "code": "argilla.api.errors::ValidationError",
+ "params": {
+ "errors": [
+ {
+ "loc": ["body", "subset"],
+ "msg": "String should have at least 1 character",
+ "type": "string_too_short",
+ },
+ ],
+ },
+ },
+ }
+
+ assert DEFAULT_QUEUE.count == 0
+
+ async def test_export_dataset_with_empty_split(self, async_client: AsyncClient, owner_auth_header: dict):
+ dataset = await DatasetFactory.create()
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "name": "hf-username/dataset-name",
+ "split": "",
+ "token": "hf-secret-token",
+ },
+ )
+
+ assert response.status_code == 422
+ assert response.json() == {
+ "detail": {
+ "code": "argilla.api.errors::ValidationError",
+ "params": {
+ "errors": [
+ {
+ "loc": ["body", "split"],
+ "msg": "String should have at least 1 character",
+ "type": "string_too_short",
+ },
+ ],
+ },
+ },
+ }
+
+ assert DEFAULT_QUEUE.count == 0
+
+ async def test_export_dataset_with_empty_token(self, async_client: AsyncClient, owner_auth_header: dict):
+ dataset = await DatasetFactory.create()
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "name": "hf-username/dataset-name",
+ "token": "",
+ },
+ )
+
+ assert response.status_code == 422
+ assert response.json() == {
+ "detail": {
+ "code": "argilla.api.errors::ValidationError",
+ "params": {
+ "errors": [
+ {
+ "loc": ["body", "token"],
+ "msg": "String should have at least 1 character",
+ "type": "string_too_short",
+ },
+ ],
+ },
+ },
+ }
+
+ assert DEFAULT_QUEUE.count == 0
+
+ async def test_export_dataset_without_records(self, async_client: AsyncClient, owner_auth_header: dict):
+ dataset = await DatasetFactory.create()
+ await RecordFactory.create()
+
+ response = await async_client.post(
+ self.url(dataset.id),
+ headers=owner_auth_header,
+ json={
+ "name": "hf-username/dataset-name",
+ "token": "hf-secret-token",
+ },
+ )
+
+ assert response.status_code == 422
+ assert response.json() == {"detail": f"Dataset with id `{dataset.id}` has no records to export"}
+
+ assert DEFAULT_QUEUE.count == 0
diff --git a/argilla-server/tests/unit/api/handlers/v1/records/test_update_record.py b/argilla-server/tests/unit/api/handlers/v1/records/test_update_record.py
index d8eba32655..9d5b75e848 100644
--- a/argilla-server/tests/unit/api/handlers/v1/records/test_update_record.py
+++ b/argilla-server/tests/unit/api/handlers/v1/records/test_update_record.py
@@ -40,7 +40,7 @@ async def test_update_record_enqueue_webhook_record_updated_event(
response = await async_client.patch(
self.url(record.id),
headers=owner_auth_header,
- json={},
+ json={"metadata": {"new": "value"}},
)
assert response.status_code == 200
diff --git a/argilla-server/tests/unit/api/handlers/v1/settings/test_get_settings.py b/argilla-server/tests/unit/api/handlers/v1/settings/test_get_settings.py
index e52bd3a5ea..f9df63245e 100644
--- a/argilla-server/tests/unit/api/handlers/v1/settings/test_get_settings.py
+++ b/argilla-server/tests/unit/api/handlers/v1/settings/test_get_settings.py
@@ -19,7 +19,7 @@
from argilla_server.contexts import settings as settings_context
from argilla_server.contexts.settings import HUGGINGFACE_SETTINGS
from argilla_server.integrations.huggingface.spaces import HuggingfaceSettings
-from argilla_server.settings import settings as argilla_server_settings
+from argilla_server.settings import settings as argilla_server_settings, settings
from httpx import AsyncClient
@@ -33,9 +33,7 @@ async def test_get_settings_for_argilla_settings_running_on_huggingface(self, as
response = await async_client.get(self.url())
assert response.status_code == 200
- assert response.json()["argilla"] == {
- "show_huggingface_space_persistent_storage_warning": True,
- }
+ assert response.json()["argilla"]["show_huggingface_space_persistent_storage_warning"] is True
async def test_get_settings_for_argilla_settings_running_on_huggingface_with_disabled_storage_warning(
self, async_client: AsyncClient
@@ -45,9 +43,7 @@ async def test_get_settings_for_argilla_settings_running_on_huggingface_with_dis
response = await async_client.get(self.url())
assert response.status_code == 200
- assert response.json()["argilla"] == {
- "show_huggingface_space_persistent_storage_warning": False,
- }
+ assert response.json()["argilla"]["show_huggingface_space_persistent_storage_warning"] is False
async def test_get_settings_for_argilla_settings_not_running_on_huggingface(self, async_client: AsyncClient):
response = await async_client.get(self.url())
@@ -86,3 +82,14 @@ async def test_get_settings_for_huggingface_settings_not_running_on_huggingface(
assert response.status_code == 200
assert "huggingface" not in response.json()
+
+ async def test_get_settings_with_share_your_progress_enabled(self, async_client: AsyncClient):
+ try:
+ settings.enable_share_your_progress = True
+
+ response = await async_client.get(self.url())
+
+ assert response.status_code == 200
+ assert response.json()["argilla"]["share_your_progress_enabled"] is True
+ finally:
+ settings.enable_share_your_progress = False
diff --git a/argilla-server/tests/unit/api/handlers/v1/test_records.py b/argilla-server/tests/unit/api/handlers/v1/test_records.py
index 24fc2d1073..8675b52178 100644
--- a/argilla-server/tests/unit/api/handlers/v1/test_records.py
+++ b/argilla-server/tests/unit/api/handlers/v1/test_records.py
@@ -18,6 +18,7 @@
from uuid import UUID, uuid4
import pytest
+
from argilla_server.constants import API_KEY_HEADER_NAME
from argilla_server.enums import RecordStatus, ResponseStatus
from argilla_server.models import Dataset, Record, Response, Suggestion, User, UserRole
@@ -44,6 +45,7 @@
VectorFactory,
VectorSettingsFactory,
WorkspaceFactory,
+ TextFieldFactory,
)
if TYPE_CHECKING:
@@ -316,9 +318,89 @@ async def test_update_record(self, async_client: "AsyncClient", mock_search_engi
"inserted_at": record.inserted_at.isoformat(),
"updated_at": record.updated_at.isoformat(),
}
+ assert record.updated_at > record.inserted_at
+
+ mock_search_engine.index_records.assert_called_once_with(dataset, [record])
+
+ async def test_update_record_fields(
+ self, async_client: "AsyncClient", db: "AsyncSession", mock_search_engine: SearchEngine, owner_auth_header: dict
+ ):
+ dataset = await DatasetFactory.create(status="ready")
+ await TextFieldFactory.create(dataset=dataset, name="text", required=True)
+ await TextFieldFactory.create(dataset=dataset, name="sentiment", required=False)
+ record = await RecordFactory.create(dataset=dataset, fields={"text": "This is a text"})
+
+ response = await async_client.patch(
+ f"/api/v1/records/{record.id}",
+ headers=owner_auth_header,
+ json={"fields": {"text": "Updated text", "sentiment": "positive"}},
+ )
+
+ assert response.status_code == 200, response.json()
+ assert response.json() == {
+ "id": str(record.id),
+ "status": RecordStatus.pending,
+ "fields": {"text": "Updated text", "sentiment": "positive"},
+ "metadata": None,
+ "external_id": record.external_id,
+ "responses": [],
+ "suggestions": [],
+ "vectors": {},
+ "dataset_id": str(dataset.id),
+ "inserted_at": record.inserted_at.isoformat(),
+ "updated_at": record.updated_at.isoformat(),
+ }
+ assert record.updated_at > record.inserted_at
+ mock_search_engine.index_records.assert_called_once_with(dataset, [record])
+
+ async def test_update_record_fields_with_less_fields(
+ self, async_client: "AsyncClient", mock_search_engine: SearchEngine, owner_auth_header: dict
+ ):
+ dataset = await DatasetFactory.create()
+ await TextFieldFactory.create(dataset=dataset, name="text", required=True)
+ await TextFieldFactory.create(dataset=dataset, name="sentiment", required=False)
+ record = await RecordFactory.create(dataset=dataset, fields={"text": "This is a text", "sentiment": "neutral"})
+
+ response = await async_client.patch(
+ f"/api/v1/records/{record.id}",
+ headers=owner_auth_header,
+ json={"fields": {"text": "Updated text"}},
+ )
+ assert response.status_code == 200
+ assert response.json() == {
+ "id": str(record.id),
+ "status": RecordStatus.pending,
+ "fields": {"text": "Updated text"},
+ "metadata": None,
+ "external_id": record.external_id,
+ "responses": [],
+ "suggestions": [],
+ "vectors": {},
+ "dataset_id": str(dataset.id),
+ "inserted_at": record.inserted_at.isoformat(),
+ "updated_at": record.updated_at.isoformat(),
+ }
+ assert record.updated_at > record.inserted_at
mock_search_engine.index_records.assert_called_once_with(dataset, [record])
+ async def test_update_record_fields_with_empty_fields(
+ self, async_client: "AsyncClient", mock_search_engine: SearchEngine, owner_auth_header: dict
+ ):
+ dataset = await DatasetFactory.create()
+ record = await RecordFactory.create(dataset=dataset)
+
+ response = await async_client.patch(
+ f"/api/v1/records/{record.id}",
+ headers=owner_auth_header,
+ json={"fields": {}},
+ )
+
+ assert response.status_code == 422
+ assert response.json() == {"detail": "fields cannot be empty"}
+ assert record.updated_at == record.inserted_at
+ mock_search_engine.index_records.assert_not_called()
+
async def test_update_record_with_null_metadata(
self, async_client: "AsyncClient", mock_search_engine: SearchEngine, owner_auth_header: dict
):
@@ -351,6 +433,7 @@ async def test_update_record_with_null_metadata(
"inserted_at": record.inserted_at.isoformat(),
"updated_at": record.updated_at.isoformat(),
}
+ assert record.updated_at > record.inserted_at
mock_search_engine.index_records.assert_called_once_with(dataset, [record])
async def test_update_record_with_no_metadata(
@@ -372,13 +455,14 @@ async def test_update_record_with_no_metadata(
"fields": {"text": "This is a text", "sentiment": "neutral"},
"metadata": None,
"external_id": record.external_id,
- "responses": None,
+ "responses": [],
"suggestions": [],
"vectors": {},
"dataset_id": str(dataset.id),
"inserted_at": record.inserted_at.isoformat(),
"updated_at": record.updated_at.isoformat(),
}
+ assert record.updated_at == record.inserted_at
mock_search_engine.index_records.assert_not_called()
async def test_update_record_with_list_terms_metadata(
@@ -414,6 +498,7 @@ async def test_update_record_with_list_terms_metadata(
"inserted_at": record.inserted_at.isoformat(),
"updated_at": record.updated_at.isoformat(),
}
+ assert record.updated_at > record.inserted_at
mock_search_engine.index_records.assert_called_once_with(dataset, [record])
async def test_update_record_with_no_suggestions(
@@ -435,13 +520,14 @@ async def test_update_record_with_no_suggestions(
"fields": {"text": "This is a text", "sentiment": "neutral"},
"metadata": None,
"external_id": record.external_id,
- "responses": None,
+ "responses": [],
"suggestions": [],
"vectors": {},
"dataset_id": str(record.dataset_id),
"inserted_at": record.inserted_at.isoformat(),
"updated_at": record.updated_at.isoformat(),
}
+ assert record.updated_at > record.inserted_at
assert (await db.execute(select(Suggestion).where(Suggestion.id == suggestion.id))).scalar_one_or_none() is None
@pytest.mark.parametrize(
@@ -537,7 +623,9 @@ async def test_update_record_with_invalid_suggestion(self, async_client: "AsyncC
assert response.status_code == 422
assert response.json() == {
- "detail": f"suggestion for question_id={question.id} is not valid: 'not a valid value' is not a valid label for label selection question.\nValid labels are: ['option1', 'option2', 'option3']"
+ "detail": "record does not have valid suggestions: "
+ "'not a valid value' is not a valid label for label selection question.\n"
+ "Valid labels are: ['option1', 'option2', 'option3']"
}
async def test_update_record_with_invalid_vector(self, async_client: "AsyncClient", owner_auth_header: dict):
@@ -553,7 +641,9 @@ async def test_update_record_with_invalid_vector(self, async_client: "AsyncClien
assert response.status_code == 422
assert response.json() == {
- "detail": f"vector with name={vector_settings.name} is not valid: vector must have 5 elements, got 6 elements"
+ "detail": "record does not have valid vectors: "
+ f"vector value for vector name={vector_settings.name} "
+ f"must have {vector_settings.dimensions} elements, got 6 elements"
}
async def test_update_record_with_suggestion_for_nonexistent_question(
@@ -576,7 +666,7 @@ async def test_update_record_with_suggestion_for_nonexistent_question(
assert response.status_code == 422
assert response.json() == {
- "detail": f"suggestion for question_id={question_id} is not valid: question_id={question_id} does not exist"
+ "detail": f"record does not have valid suggestions: question id={question_id} does not exists"
}
async def test_update_record_with_nonexistent_vector_settings(
@@ -593,7 +683,8 @@ async def test_update_record_with_nonexistent_vector_settings(
assert response.status_code == 422
assert response.json() == {
- "detail": f"vector with name=i-do-not-exist is not valid: vector with name=i-do-not-exist does not exist for dataset_id={dataset.id}"
+ "detail": "record does not have valid vectors: vector with name=i-do-not-exist "
+ f"does not exist for dataset_id={dataset.id}"
}
async def test_update_record_with_duplicate_suggestions_question_ids(
@@ -615,7 +706,9 @@ async def test_update_record_with_duplicate_suggestions_question_ids(
)
assert response.status_code == 422
- assert response.json() == {"detail": "found duplicate suggestions question IDs"}
+ assert response.json() == {
+ "detail": "record does not have valid suggestions: found duplicate suggestions question IDs"
+ }
async def test_update_record_as_admin_from_another_workspace(self, async_client: "AsyncClient"):
record = await RecordFactory.create()
diff --git a/argilla-server/tests/unit/commons/test_settings.py b/argilla-server/tests/unit/commons/test_settings.py
index 14c2d27799..b98d52825e 100644
--- a/argilla-server/tests/unit/commons/test_settings.py
+++ b/argilla-server/tests/unit/commons/test_settings.py
@@ -84,3 +84,15 @@ def test_settings_database_postgresql_max_overflow(monkeypatch):
monkeypatch.setenv("ARGILLA_DATABASE_POSTGRESQL_MAX_OVERFLOW", "12")
assert Settings().database_postgresql_max_overflow == 12
+
+
+def test_enable_share_your_progress(monkeypatch):
+ monkeypatch.setenv("ARGILLA_ENABLE_SHARE_YOUR_PROGRESS", "true")
+
+ assert Settings().enable_share_your_progress is True
+
+
+def test_disable_enable_share_your_progress(monkeypatch):
+ monkeypatch.setenv("ARGILLA_ENABLE_SHARE_YOUR_PROGRESS", "false")
+
+ assert Settings().enable_share_your_progress is False
diff --git a/argilla-server/tests/unit/conftest.py b/argilla-server/tests/unit/conftest.py
index 4af66e9fb2..a1eb5a100a 100644
--- a/argilla-server/tests/unit/conftest.py
+++ b/argilla-server/tests/unit/conftest.py
@@ -12,16 +12,14 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-import uuid
-from typing import TYPE_CHECKING, Dict, Generator, Optional
-
import pytest
import pytest_asyncio
-from sqlalchemy.engine.interfaces import IsolationLevel
+
+from typing import TYPE_CHECKING, Dict, Generator, Optional
from httpx import AsyncClient
from opensearchpy import OpenSearch
+from sqlalchemy.engine.interfaces import IsolationLevel
-from argilla_server import telemetry
from argilla_server.contexts import distribution, datasets, records
from argilla_server.api.routes import api_v1
from argilla_server.constants import API_KEY_HEADER_NAME, DEFAULT_API_KEY
@@ -30,6 +28,7 @@
from argilla_server.search_engine import SearchEngine, get_search_engine
from argilla_server.settings import settings
from argilla_server.telemetry import TelemetryClient
+
from tests.database import TestSession
from tests.factories import AnnotatorFactory, OwnerFactory, UserFactory
@@ -91,7 +90,6 @@ async def override_get_search_engine():
mocker.patch.object(distribution, "_get_async_db", override_get_async_db)
mocker.patch.object(datasets, "get_async_db", override_get_async_db)
- mocker.patch.object(records, "get_async_db", override_get_async_db)
api_v1.dependency_overrides.update(
{
diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py
index 94347a76d5..ead1ba551b 100644
--- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py
+++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py
@@ -18,7 +18,6 @@
from sqlalchemy.ext.asyncio import AsyncSession
from argilla_server.api.schemas.v1.datasets import HubDatasetMapping, HubDatasetMappingItem
-from argilla_server.api.schemas.v1.metadata_properties import IntegerMetadataProperty
from argilla_server.enums import DatasetStatus, QuestionType
from argilla_server.models import Record
from argilla_server.contexts.hub import HubDataset
diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset_exporter.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset_exporter.py
new file mode 100644
index 0000000000..0fac9be2db
--- /dev/null
+++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset_exporter.py
@@ -0,0 +1,1289 @@
+# Copyright 2021-present, the Recognai S.L. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import pytest
+
+from PIL import Image
+from uuid import uuid4
+from typing import Generator
+from huggingface_hub import HfApi
+from datasets import load_dataset, get_dataset_config_names, get_dataset_split_names
+
+from argilla_server.contexts import hub
+from argilla_server.contexts.hub import HubDatasetExporter
+from argilla_server.enums import DatasetStatus, FieldType, QuestionType, ResponseStatus, MetadataPropertyType
+
+from tests.database import SyncTestSession
+from tests.factories import (
+ DatasetSyncFactory,
+ FieldSyncFactory,
+ QuestionSyncFactory,
+ RecordSyncFactory,
+ ResponseSyncFactory,
+ AnnotatorSyncFactory,
+ MetadataPropertySyncFactory,
+ SuggestionSyncFactory,
+ VectorSettingsSyncFactory,
+ VectorSyncFactory,
+)
+
+HF_ORGANIZATION = "argilla-internal-testing"
+HF_TOKEN = os.environ.get("HF_TOKEN_ARGILLA_INTERNAL_TESTING")
+
+IMAGE_URL = "https://argilla.io/brand-assets/argilla/argilla-logo-color-black.png"
+IMAGE_DATA_URL = "data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw=="
+
+
+@pytest.fixture
+def sync_test_session(mocker):
+ session = SyncTestSession()
+
+ def override_get_sync_db():
+ yield session
+
+ mocker.patch.object(hub, "get_sync_db", override_get_sync_db)
+
+ yield session
+
+
+@pytest.fixture
+def hf_api() -> HfApi:
+ return HfApi(token=HF_TOKEN)
+
+
+@pytest.fixture
+def hf_dataset_name(hf_api: HfApi) -> Generator[str, None, None]:
+ hf_dataset_name = f"{HF_ORGANIZATION}/argilla-server-dataset-test-{uuid4()}"
+
+ yield hf_dataset_name
+
+ hf_api.delete_repo(hf_dataset_name, repo_type="dataset", missing_ok=True)
+
+
+@pytest.mark.skipif(HF_TOKEN is None, reason="HF_TOKEN_ARGILLA_INTERNAL_TESTING is not defined")
+class TestHubDatasetExporter:
+ def test_export_to(self, sync_test_session, hf_api: HfApi, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert hf_api.dataset_info(hf_dataset_name).private == False
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ }
+
+ @pytest.mark.skip(reason="the Hub is ignoring for some reason the subset and using default instead")
+ def test_export_to_with_custom_subset(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="custom",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ assert get_dataset_config_names(hf_dataset_name) == ["custom"]
+
+ def test_export_to_with_custom_split(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="custom",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ assert get_dataset_split_names(hf_dataset_name) == ["custom"]
+
+ def test_export_to_with_private_dataset(self, sync_test_session, hf_api: HfApi, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=True,
+ token=HF_TOKEN,
+ )
+
+ assert hf_api.dataset_info(hf_dataset_name).private == True
+
+ def test_export_to_with_chat_field(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ chat_record_value = [
+ {"role": "user", "content": "Hello"},
+ {"role": "agent", "content": "Hello human!"},
+ ]
+
+ FieldSyncFactory.create(name="chat", settings={"type": FieldType.chat, "use_markdown": False}, dataset=dataset)
+ RecordSyncFactory.create(fields={"chat": chat_record_value}, dataset=dataset)
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0]["chat"] == chat_record_value
+
+ def test_export_to_with_custom_field(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ FieldSyncFactory.create(
+ name="custom",
+ settings={
+ "type": FieldType.custom,
+ "template": "",
+ "advanced_mode": False,
+ },
+ dataset=dataset,
+ )
+ RecordSyncFactory.create(fields={"custom": "custom-value"}, dataset=dataset)
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0]["custom"] == "custom-value"
+
+ def test_export_to_with_image_field_as_url(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ FieldSyncFactory.create(name="image", settings={"type": FieldType.image}, dataset=dataset)
+ RecordSyncFactory.create(fields={"image": IMAGE_URL}, dataset=dataset)
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0]["image"] == IMAGE_URL
+
+ def test_export_to_with_image_field_as_data_url(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ FieldSyncFactory.create(name="image", settings={"type": FieldType.image}, dataset=dataset)
+ RecordSyncFactory.create(fields={"image": IMAGE_DATA_URL}, dataset=dataset)
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert isinstance(exported_dataset[0]["image"], Image.Image)
+
+ def test_export_to_with_text_question(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ QuestionSyncFactory.create(
+ name="text-question",
+ settings={
+ "type": QuestionType.text,
+ "use_markdown": False,
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "text-question": {
+ "value": "This is a response",
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "text-question": {
+ "value": "This is another response",
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "text-question.responses": ["This is a response", "This is another response"],
+ "text-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "text-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ }
+
+ def test_export_to_with_text_question_and_suggestion(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ question = QuestionSyncFactory.create(
+ name="text-question",
+ settings={
+ "type": QuestionType.text,
+ "use_markdown": False,
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "text-question": {
+ "value": "This is a response",
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "text-question": {
+ "value": "This is another response",
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+ SuggestionSyncFactory.create(
+ value="This is a suggested response",
+ record=record,
+ question=question,
+ agent="suggestion-agent",
+ score=0.5,
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "text-question.responses": ["This is a response", "This is another response"],
+ "text-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "text-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ "text-question.suggestion": "This is a suggested response",
+ "text-question.suggestion.agent": "suggestion-agent",
+ "text-question.suggestion.score": 0.5,
+ }
+
+ def test_export_to_with_rating_question(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ QuestionSyncFactory.create(
+ name="rating-question",
+ settings={
+ "type": QuestionType.rating,
+ "options": [
+ {"value": 0},
+ {"value": 1},
+ {"value": 2},
+ {"value": 3},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "rating-question": {
+ "value": 2,
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "rating-question": {
+ "value": 0,
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "rating-question.responses": [2, 0],
+ "rating-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "rating-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ }
+
+ def test_export_to_with_rating_question_and_suggestion(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ question = QuestionSyncFactory.create(
+ name="rating-question",
+ settings={
+ "type": QuestionType.rating,
+ "options": [
+ {"value": 0},
+ {"value": 1},
+ {"value": 2},
+ {"value": 3},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "rating-question": {
+ "value": 2,
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "rating-question": {
+ "value": 0,
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+ SuggestionSyncFactory.create(
+ value=1,
+ record=record,
+ question=question,
+ agent="suggestion-agent",
+ score=0.9,
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "rating-question.responses": [2, 0],
+ "rating-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "rating-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ "rating-question.suggestion": 1,
+ "rating-question.suggestion.agent": "suggestion-agent",
+ "rating-question.suggestion.score": 0.9,
+ }
+
+ def test_export_to_with_label_question(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ QuestionSyncFactory.create(
+ name="label-question",
+ settings={
+ "type": QuestionType.label_selection,
+ "options": [
+ {"value": "label-a", "text": "Label A"},
+ {"value": "label-b", "text": "Label B"},
+ {"value": "label-c", "text": "Label C"},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "label-question": {
+ "value": "label-b",
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "label-question": {
+ "value": "label-a",
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "label-question.responses": ["label-b", "label-a"],
+ "label-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "label-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ }
+
+ def test_export_to_with_label_question_and_suggestion(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ question = QuestionSyncFactory.create(
+ name="label-question",
+ settings={
+ "type": QuestionType.label_selection,
+ "options": [
+ {"value": "label-a", "text": "Label A"},
+ {"value": "label-b", "text": "Label B"},
+ {"value": "label-c", "text": "Label C"},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "label-question": {
+ "value": "label-b",
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "label-question": {
+ "value": "label-a",
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+ SuggestionSyncFactory.create(
+ value="label-c",
+ record=record,
+ question=question,
+ agent="suggestion-agent",
+ score=0.3,
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "label-question.responses": ["label-b", "label-a"],
+ "label-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "label-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ "label-question.suggestion": "label-c",
+ "label-question.suggestion.agent": "suggestion-agent",
+ "label-question.suggestion.score": 0.3,
+ }
+
+ def test_export_to_with_multi_label_question(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ QuestionSyncFactory.create(
+ name="multi-label-question",
+ settings={
+ "type": QuestionType.multi_label_selection,
+ "options": [
+ {"value": "label-a", "text": "Label A"},
+ {"value": "label-b", "text": "Label B"},
+ {"value": "label-c", "text": "Label C"},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "multi-label-question": {
+ "value": ["label-a", "label-b"],
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "multi-label-question": {
+ "value": ["label-c", "label-a"],
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "multi-label-question.responses": [["label-a", "label-b"], ["label-c", "label-a"]],
+ "multi-label-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "multi-label-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ }
+
+ def test_export_to_with_multi_label_question_and_suggestion(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ question = QuestionSyncFactory.create(
+ name="multi-label-question",
+ settings={
+ "type": QuestionType.multi_label_selection,
+ "options": [
+ {"value": "label-a", "text": "Label A"},
+ {"value": "label-b", "text": "Label B"},
+ {"value": "label-c", "text": "Label C"},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "multi-label-question": {
+ "value": ["label-a", "label-b"],
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "multi-label-question": {
+ "value": ["label-c", "label-a"],
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+ SuggestionSyncFactory.create(
+ value=["label-a", "label-c"],
+ record=record,
+ question=question,
+ agent="suggestion-agent",
+ score=[0.8, 0.7],
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "multi-label-question.responses": [["label-a", "label-b"], ["label-c", "label-a"]],
+ "multi-label-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "multi-label-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ "multi-label-question.suggestion": ["label-a", "label-c"],
+ "multi-label-question.suggestion.agent": "suggestion-agent",
+ "multi-label-question.suggestion.score": [0.8, 0.7],
+ }
+
+ def test_export_to_with_ranking_question(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ QuestionSyncFactory.create(
+ name="ranking-question",
+ settings={
+ "type": QuestionType.ranking,
+ "options": [
+ {"value": "ranking-a", "text": "Ranking A"},
+ {"value": "ranking-b", "text": "Ranking B"},
+ {"value": "ranking-c", "text": "Ranking C"},
+ {"value": "ranking-d", "text": "Ranking D"},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "ranking-question": {
+ "value": [
+ {"value": "ranking-a", "rank": 0},
+ {"value": "ranking-d", "rank": 0},
+ {"value": "ranking-b", "rank": 1},
+ ],
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "ranking-question": {
+ "value": [
+ {"value": "ranking-b"},
+ {"value": "ranking-c"},
+ {"value": "ranking-a"},
+ ],
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "ranking-question.responses": [
+ [
+ {"value": "ranking-a", "rank": 0},
+ {"value": "ranking-d", "rank": 0},
+ {"value": "ranking-b", "rank": 1},
+ ],
+ [
+ {"value": "ranking-b", "rank": None},
+ {"value": "ranking-c", "rank": None},
+ {"value": "ranking-a", "rank": None},
+ ],
+ ],
+ "ranking-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "ranking-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ }
+
+ def test_export_to_with_ranking_question_and_suggestion(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ question = QuestionSyncFactory.create(
+ name="ranking-question",
+ settings={
+ "type": QuestionType.ranking,
+ "options": [
+ {"value": "ranking-a", "text": "Ranking A"},
+ {"value": "ranking-b", "text": "Ranking B"},
+ {"value": "ranking-c", "text": "Ranking C"},
+ {"value": "ranking-d", "text": "Ranking D"},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "ranking-question": {
+ "value": [
+ {"value": "ranking-a", "rank": 0},
+ {"value": "ranking-d", "rank": 0},
+ {"value": "ranking-b", "rank": 1},
+ ],
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "ranking-question": {
+ "value": [
+ {"value": "ranking-b"},
+ {"value": "ranking-c"},
+ {"value": "ranking-a"},
+ ],
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+ SuggestionSyncFactory.create(
+ value=[
+ {"value": "ranking-a", "rank": 0},
+ {"value": "ranking-b", "rank": 1},
+ {"value": "ranking-c", "rank": 2},
+ {"value": "ranking-d", "rank": 3},
+ ],
+ record=record,
+ question=question,
+ agent="suggestion-agent",
+ score=[0.5, 0.4, 0.3, 0.2],
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "ranking-question.responses": [
+ [
+ {"value": "ranking-a", "rank": 0},
+ {"value": "ranking-d", "rank": 0},
+ {"value": "ranking-b", "rank": 1},
+ ],
+ [
+ {"value": "ranking-b", "rank": None},
+ {"value": "ranking-c", "rank": None},
+ {"value": "ranking-a", "rank": None},
+ ],
+ ],
+ "ranking-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "ranking-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ "ranking-question.suggestion": [
+ {"value": "ranking-a", "rank": 0},
+ {"value": "ranking-b", "rank": 1},
+ {"value": "ranking-c", "rank": 2},
+ {"value": "ranking-d", "rank": 3},
+ ],
+ "ranking-question.suggestion.agent": "suggestion-agent",
+ "ranking-question.suggestion.score": [0.5, 0.4, 0.3, 0.2],
+ }
+
+ def test_export_to_with_span_question(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ QuestionSyncFactory.create(
+ name="span-question",
+ settings={
+ "type": QuestionType.span,
+ "field": "text",
+ "options": [
+ {"value": "label-a", "text": "Label A"},
+ {"value": "label-b", "text": "Label B"},
+ {"value": "label-c", "text": "Label C"},
+ {"value": "label-d", "text": "Label D"},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "span-question": {
+ "value": [
+ {"label": "label-b", "start": 0, "end": 2},
+ {"label": "label-a", "start": 3, "end": 5},
+ ],
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "span-question": {
+ "value": [
+ {"label": "label-c", "start": 2, "end": 6},
+ ],
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "span-question.responses": [
+ [
+ {"label": "label-b", "start": 0, "end": 2},
+ {"label": "label-a", "start": 3, "end": 5},
+ ],
+ [
+ {"label": "label-c", "start": 2, "end": 6},
+ ],
+ ],
+ "span-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "span-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ }
+
+ def test_export_to_with_span_question_and_suggestion(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotators = AnnotatorSyncFactory.create_batch(2, workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ question = QuestionSyncFactory.create(
+ name="span-question",
+ settings={
+ "type": QuestionType.span,
+ "field": "text",
+ "options": [
+ {"value": "label-a", "text": "Label A"},
+ {"value": "label-b", "text": "Label B"},
+ {"value": "label-c", "text": "Label C"},
+ {"value": "label-d", "text": "Label D"},
+ ],
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ values={
+ "span-question": {
+ "value": [
+ {"label": "label-b", "start": 0, "end": 2},
+ {"label": "label-a", "start": 3, "end": 5},
+ ],
+ },
+ },
+ record=record,
+ user=annotators[0],
+ )
+ ResponseSyncFactory.create(
+ values={
+ "span-question": {
+ "value": [
+ {"label": "label-c", "start": 2, "end": 6},
+ ],
+ },
+ },
+ record=record,
+ user=annotators[1],
+ )
+ SuggestionSyncFactory.create(
+ value=[
+ {"label": "label-a", "start": 0, "end": 3},
+ {"label": "label-d", "start": 2, "end": 6},
+ ],
+ record=record,
+ question=question,
+ agent="suggestion-agent",
+ score=[0.7, 0.6],
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "span-question.responses": [
+ [
+ {"label": "label-b", "start": 0, "end": 2},
+ {"label": "label-a", "start": 3, "end": 5},
+ ],
+ [
+ {"label": "label-c", "start": 2, "end": 6},
+ ],
+ ],
+ "span-question.responses.status": [ResponseStatus.submitted, ResponseStatus.submitted],
+ "span-question.responses.users": [str(annotators[0].id), str(annotators[1].id)],
+ "span-question.suggestion": [
+ {"label": "label-a", "start": 0, "end": 3},
+ {"label": "label-d", "start": 2, "end": 6},
+ ],
+ "span-question.suggestion.agent": "suggestion-agent",
+ "span-question.suggestion.score": [0.7, 0.6],
+ }
+
+ def test_export_to_with_draft_response(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotator = AnnotatorSyncFactory.create(workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ QuestionSyncFactory.create(
+ name="text-question",
+ settings={
+ "type": QuestionType.text,
+ "use_markdown": False,
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ status=ResponseStatus.draft,
+ record=record,
+ user=annotator,
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "text-question.responses": [None],
+ "text-question.responses.status": [ResponseStatus.draft],
+ "text-question.responses.users": [str(annotator.id)],
+ }
+
+ def test_export_to_with_discarded_response(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+ annotator = AnnotatorSyncFactory.create(workspaces=[dataset.workspace])
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ QuestionSyncFactory.create(
+ name="text-question",
+ settings={
+ "type": QuestionType.text,
+ "use_markdown": False,
+ },
+ dataset=dataset,
+ )
+
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+ ResponseSyncFactory.create(
+ status=ResponseStatus.discarded,
+ record=record,
+ user=annotator,
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0] == {
+ "id": record.external_id,
+ "status": record.status,
+ "inserted_at": record.inserted_at,
+ "updated_at": record.updated_at,
+ "_server_id": str(record.id),
+ "text": "Hello World",
+ "text-question.responses": [None],
+ "text-question.responses.status": [ResponseStatus.discarded],
+ "text-question.responses.users": [str(annotator.id)],
+ }
+
+ def test_export_to_with_metadata(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+
+ MetadataPropertySyncFactory.create(
+ name="metadata-terms",
+ title="Metadata Terms",
+ settings={
+ "type": MetadataPropertyType.terms,
+ "values": ["term-a", "term-b", "term-c"],
+ },
+ dataset=dataset,
+ )
+
+ MetadataPropertySyncFactory.create(
+ name="metadata-integer",
+ title="Metadata Integer",
+ settings={
+ "type": MetadataPropertyType.integer,
+ },
+ dataset=dataset,
+ )
+
+ MetadataPropertySyncFactory.create(
+ name="metadata-float",
+ title="Metadata Float",
+ settings={
+ "type": MetadataPropertyType.float,
+ },
+ dataset=dataset,
+ )
+
+ RecordSyncFactory.create(
+ fields={"text": "Hello World"},
+ metadata_={
+ "metadata-terms": ["term-c", "term-b"],
+ "metadata-integer": 42,
+ "metadata-float": 3.14,
+ },
+ dataset=dataset,
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0]["metadata.metadata-terms"] == ["term-c", "term-b"]
+ assert exported_dataset[0]["metadata.metadata-integer"] == 42
+ assert exported_dataset[0]["metadata.metadata-float"] == 3.14
+
+ def test_export_to_with_vectors(self, sync_test_session, hf_dataset_name: str):
+ dataset = DatasetSyncFactory.create(status=DatasetStatus.ready)
+
+ FieldSyncFactory.create(name="text", settings={"type": FieldType.text, "use_markdown": False}, dataset=dataset)
+ record = RecordSyncFactory.create(fields={"text": "Hello World"}, dataset=dataset)
+
+ vector_settings_a = VectorSettingsSyncFactory.create(
+ name="vector-a",
+ title="Vector A",
+ dimensions=3,
+ dataset=dataset,
+ )
+ vector_settings_b = VectorSettingsSyncFactory.create(
+ name="vector-b",
+ title="Vector B",
+ dimensions=2,
+ dataset=dataset,
+ )
+ VectorSettingsSyncFactory.create(
+ name="vector-c",
+ title="Vector C",
+ dimensions=4,
+ dataset=dataset,
+ )
+
+ VectorSyncFactory.create(
+ value=[1.0, 2.0, 3.0],
+ record=record,
+ vector_settings=vector_settings_a,
+ )
+
+ VectorSyncFactory.create(
+ value=[3.14, 3.15],
+ record=record,
+ vector_settings=vector_settings_b,
+ )
+
+ HubDatasetExporter(dataset).export_to(
+ name=hf_dataset_name,
+ subset="default",
+ split="train",
+ private=False,
+ token=HF_TOKEN,
+ )
+
+ exported_dataset = load_dataset(path=hf_dataset_name, name="default", split="train")
+
+ assert exported_dataset[0]["vector.vector-a"] == [1.0, 2.0, 3.0]
+ assert exported_dataset[0]["vector.vector-b"] == [3.14, 3.15]
+ assert exported_dataset[0]["vector.vector-c"] == None
diff --git a/argilla/CHANGELOG.md b/argilla/CHANGELOG.md
index b0a76c59ff..94f72d3dcb 100644
--- a/argilla/CHANGELOG.md
+++ b/argilla/CHANGELOG.md
@@ -16,6 +16,16 @@ These are the section headers that we use:
## [Unreleased]()
+## [2.6.0](https://github.com/argilla-io/argilla/compare/v2.5.0...v2.6.0)
+
+### Fixed
+
+- Fixed error when iterating over datasets and settings are not properly loaded. ([#5753](https://github.com/argilla-io/argilla/pull/5753))
+- Fixed error when loading field from raw dictionaries. ([#5756](https://github.com/argilla-io/argilla/pull/5756))
+- Fixed error when importing datasets from hub that already exists. ([#5756](https://github.com/argilla-io/argilla/pull/5756))
+- Fixed error when importing discarded responses without a response. ([#5756](https://github.com/argilla-io/argilla/pull/5756))
+- Fixed error when importing datasets with responses from existing users. ([#5756](https://github.com/argilla-io/argilla/pull/5756))
+
## [2.5.0](https://github.com/argilla-io/argilla/compare/v2.4.0...v2.5.0)
### Added
diff --git a/argilla/docs/reference/argilla-server/configuration.md b/argilla/docs/reference/argilla-server/configuration.md
index b81480f76d..4c2beb293c 100644
--- a/argilla/docs/reference/argilla-server/configuration.md
+++ b/argilla/docs/reference/argilla-server/configuration.md
@@ -46,6 +46,8 @@ You can set the following environment variables to further configure your server
- `ARGILLA_DOCS_ENABLED`: If False, disables openapi docs endpoint at _/api/docs_.
+- `ARGILLA_ENABLE_SHARE_YOUR_PROGRESS`: If True, enables the share your progress feature. This feature allows users to share their progress with the community. If False, the feature will be disabled.
+
- `HF_HUB_DISABLE_TELEMETRY`: If True, disables telemetry for usage metrics. Alternatively, you can disable telemetry by setting `HF_HUB_OFFLINE=1`.
#### Authentication
diff --git a/argilla/src/argilla/_api/_base.py b/argilla/src/argilla/_api/_base.py
index 1ec6362807..8c8cc8cf4e 100644
--- a/argilla/src/argilla/_api/_base.py
+++ b/argilla/src/argilla/_api/_base.py
@@ -12,17 +12,14 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-from datetime import datetime
from typing import Generic, TYPE_CHECKING, TypeVar
from uuid import UUID
from argilla._helpers import LoggingMixin
-
if TYPE_CHECKING:
from httpx import Client
-
__all__ = ["ResourceAPI"]
T = TypeVar("T")
@@ -51,10 +48,3 @@ def delete(self, id: UUID) -> None:
def update(self, resource: T) -> T:
return resource
-
- ####################
- # Utility methods #
- ####################
-
- def _date_from_iso_format(self, date: str) -> datetime:
- return datetime.fromisoformat(date)
diff --git a/argilla/src/argilla/_api/_datasets.py b/argilla/src/argilla/_api/_datasets.py
index 64b8a7b64c..b6ccdca261 100644
--- a/argilla/src/argilla/_api/_datasets.py
+++ b/argilla/src/argilla/_api/_datasets.py
@@ -134,8 +134,6 @@ def name_exists(self, name: str, workspace_id: UUID) -> bool:
####################
def _model_from_json(self, response_json: Dict) -> "DatasetModel":
- response_json["inserted_at"] = self._date_from_iso_format(date=response_json["inserted_at"])
- response_json["updated_at"] = self._date_from_iso_format(date=response_json["updated_at"])
return DatasetModel(**response_json)
def _model_from_jsons(self, response_jsons: List[Dict]) -> List["DatasetModel"]:
diff --git a/argilla/src/argilla/_api/_fields.py b/argilla/src/argilla/_api/_fields.py
index c101e80d7d..dcf6a0394f 100644
--- a/argilla/src/argilla/_api/_fields.py
+++ b/argilla/src/argilla/_api/_fields.py
@@ -80,8 +80,6 @@ def list(self, dataset_id: UUID) -> List[FieldModel]:
####################
def _model_from_json(self, response_json: Dict) -> FieldModel:
- response_json["inserted_at"] = self._date_from_iso_format(date=response_json["inserted_at"])
- response_json["updated_at"] = self._date_from_iso_format(date=response_json["updated_at"])
return FieldModel(**response_json)
def _model_from_jsons(self, response_jsons: List[Dict]) -> List[FieldModel]:
diff --git a/argilla/src/argilla/_api/_metadata.py b/argilla/src/argilla/_api/_metadata.py
index 4cdaad543d..4316f7e0cc 100644
--- a/argilla/src/argilla/_api/_metadata.py
+++ b/argilla/src/argilla/_api/_metadata.py
@@ -78,8 +78,6 @@ def list(self, dataset_id: UUID) -> List[MetadataFieldModel]:
####################
def _model_from_json(self, response_json: Dict) -> MetadataFieldModel:
- response_json["inserted_at"] = self._date_from_iso_format(date=response_json["inserted_at"])
- response_json["updated_at"] = self._date_from_iso_format(date=response_json["updated_at"])
return MetadataFieldModel(**response_json)
def _model_from_jsons(self, response_jsons: List[Dict]) -> List[MetadataFieldModel]:
diff --git a/argilla/src/argilla/_api/_questions.py b/argilla/src/argilla/_api/_questions.py
index 98d67eb6da..8d930c410c 100644
--- a/argilla/src/argilla/_api/_questions.py
+++ b/argilla/src/argilla/_api/_questions.py
@@ -81,8 +81,6 @@ def list(self, dataset_id: UUID) -> List[QuestionModel]:
####################
def _model_from_json(self, response_json: Dict) -> QuestionModel:
- response_json["inserted_at"] = self._date_from_iso_format(date=response_json["inserted_at"])
- response_json["updated_at"] = self._date_from_iso_format(date=response_json["updated_at"])
return QuestionModel(**response_json)
def _model_from_jsons(self, response_jsons: List[Dict]) -> List[QuestionModel]:
diff --git a/argilla/src/argilla/_api/_records.py b/argilla/src/argilla/_api/_records.py
index 6581655839..6f29576d79 100644
--- a/argilla/src/argilla/_api/_records.py
+++ b/argilla/src/argilla/_api/_records.py
@@ -225,8 +225,6 @@ def create_record_responses(self, record: RecordModel) -> None:
####################
def _model_from_json(self, response_json: Dict) -> RecordModel:
- response_json["inserted_at"] = self._date_from_iso_format(date=response_json["inserted_at"])
- response_json["updated_at"] = self._date_from_iso_format(date=response_json["updated_at"])
if "vectors" in response_json:
response_json["vectors"] = [
{"name": key, "vector_values": value} for key, value in response_json["vectors"].items()
diff --git a/argilla/src/argilla/_api/_users.py b/argilla/src/argilla/_api/_users.py
index 0063e15f92..d5d8c3a369 100644
--- a/argilla/src/argilla/_api/_users.py
+++ b/argilla/src/argilla/_api/_users.py
@@ -45,7 +45,7 @@ def create(self, user: UserModel) -> UserModel:
@api_error_handler
def update(self, user: UserModel) -> UserModel:
- json_body = user.model_dump()
+ json_body = user.model_dump(exclude_unset=True)
response = self.http_client.patch(f"/api/v1/users/{user.id}", json=json_body).raise_for_status()
user_updated = self._model_from_json(response_json=response.json())
self._log_message(message=f"Updated user {user_updated.username}")
@@ -121,8 +121,6 @@ def delete_from_workspace(self, workspace_id: UUID, user_id: UUID) -> "UserModel
####################
def _model_from_json(self, response_json) -> UserModel:
- response_json["inserted_at"] = self._date_from_iso_format(date=response_json["inserted_at"])
- response_json["updated_at"] = self._date_from_iso_format(date=response_json["updated_at"])
return UserModel(**response_json)
def _model_from_jsons(self, response_jsons) -> List[UserModel]:
diff --git a/argilla/src/argilla/_api/_vectors.py b/argilla/src/argilla/_api/_vectors.py
index 6a24f3d6d0..d6e5d1478a 100644
--- a/argilla/src/argilla/_api/_vectors.py
+++ b/argilla/src/argilla/_api/_vectors.py
@@ -77,8 +77,6 @@ def list(self, dataset_id: UUID) -> List[VectorFieldModel]:
####################
def _model_from_json(self, response_json: Dict) -> VectorFieldModel:
- response_json["inserted_at"] = self._date_from_iso_format(date=response_json["inserted_at"])
- response_json["updated_at"] = self._date_from_iso_format(date=response_json["updated_at"])
return VectorFieldModel(**response_json)
def _model_from_jsons(self, response_jsons: List[Dict]) -> List[VectorFieldModel]:
diff --git a/argilla/src/argilla/_api/_workspaces.py b/argilla/src/argilla/_api/_workspaces.py
index b657963dac..1bf80020c6 100644
--- a/argilla/src/argilla/_api/_workspaces.py
+++ b/argilla/src/argilla/_api/_workspaces.py
@@ -112,8 +112,8 @@ def _model_from_json(self, json_workspace: Dict) -> WorkspaceModel:
return WorkspaceModel(
id=UUID(json_workspace["id"]),
name=json_workspace["name"],
- inserted_at=self._date_from_iso_format(date=json_workspace["inserted_at"]),
- updated_at=self._date_from_iso_format(date=json_workspace["updated_at"]),
+ inserted_at=json_workspace["inserted_at"],
+ updated_at=json_workspace["updated_at"],
)
def _model_from_jsons(self, json_workspaces: List[Dict]) -> List[WorkspaceModel]:
diff --git a/argilla/src/argilla/_models/__init__.py b/argilla/src/argilla/_models/__init__.py
index 4f69b93024..f6009684f2 100644
--- a/argilla/src/argilla/_models/__init__.py
+++ b/argilla/src/argilla/_models/__init__.py
@@ -50,7 +50,6 @@
)
from argilla._models._settings._metadata import (
MetadataFieldModel,
- MetadataPropertyType,
BaseMetadataPropertySettings,
TermsMetadataPropertySettings,
NumericMetadataPropertySettings,
diff --git a/argilla/src/argilla/_models/_settings/_metadata.py b/argilla/src/argilla/_models/_settings/_metadata.py
index d29b231cd5..19b43fca78 100644
--- a/argilla/src/argilla/_models/_settings/_metadata.py
+++ b/argilla/src/argilla/_models/_settings/_metadata.py
@@ -12,7 +12,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-from enum import Enum
from typing import List, Literal, Optional, Union, Annotated, Any
from uuid import UUID
@@ -22,19 +21,12 @@
from argilla._models import ResourceModel
-class MetadataPropertyType(str, Enum):
- terms = "terms"
- integer = "integer"
- float = "float"
-
-
class BaseMetadataPropertySettings(BaseModel):
- type: MetadataPropertyType
visible_for_annotators: Optional[bool] = True
class TermsMetadataPropertySettings(BaseMetadataPropertySettings):
- type: Literal[MetadataPropertyType.terms]
+ type: Literal["terms"] = "terms"
values: Optional[List[Any]] = None
@field_validator("values")
@@ -64,7 +56,7 @@ def __validate_min_max(cls, values):
class IntegerMetadataPropertySettings(NumericMetadataPropertySettings):
- type: Literal[MetadataPropertyType.integer]
+ type: Literal["integer"] = "integer"
@model_validator(mode="before")
@classmethod
@@ -78,7 +70,7 @@ def __validate_min_max(cls, values):
class FloatMetadataPropertySettings(NumericMetadataPropertySettings):
- type: Literal[MetadataPropertyType.float]
+ type: Literal["float"] = "float"
MetadataPropertySettings = Annotated[
@@ -97,12 +89,15 @@ class MetadataFieldModel(ResourceModel):
name: str
settings: MetadataPropertySettings
- type: Optional[MetadataPropertyType] = Field(None, validate_default=True)
title: Optional[str] = None
visible_for_annotators: Optional[bool] = True
dataset_id: Optional[UUID] = None
+ @property
+ def type(self) -> str:
+ return self.settings.type
+
@field_validator("title")
@classmethod
def __title_default(cls, title, values):
@@ -112,10 +107,3 @@ def __title_default(cls, title, values):
@field_serializer("id", "dataset_id", when_used="unless-none")
def serialize_id(self, value: UUID) -> str:
return str(value)
-
- @field_validator("type", mode="plain")
- @classmethod
- def __validate_type(cls, type, values):
- if type is None:
- return values.data["settings"].type
- return type
diff --git a/argilla/src/argilla/_models/_user.py b/argilla/src/argilla/_models/_user.py
index ac94dc6465..1762f66bc4 100644
--- a/argilla/src/argilla/_models/_user.py
+++ b/argilla/src/argilla/_models/_user.py
@@ -16,6 +16,7 @@
from typing import Optional
from pydantic import field_validator, ConfigDict
+from pydantic_core.core_schema import ValidationInfo
from argilla._models import ResourceModel
@@ -43,12 +44,12 @@ class UserModel(ResourceModel):
@field_validator("first_name")
@classmethod
- def __validate_first_name(cls, v, values):
+ def __validate_first_name(cls, v, info: ValidationInfo):
"""Set first_name to username if not provided"""
if isinstance(v, str):
return v
elif not v:
- return values["username"]
+ return info.data["username"]
@field_validator("username", mode="before")
@classmethod
diff --git a/argilla/src/argilla/_version.py b/argilla/src/argilla/_version.py
index 95df7d76ea..3d9ab7bf0a 100644
--- a/argilla/src/argilla/_version.py
+++ b/argilla/src/argilla/_version.py
@@ -12,4 +12,4 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-__version__ = "2.6.0dev0"
+__version__ = "2.7.0dev0"
diff --git a/argilla/src/argilla/client.py b/argilla/src/argilla/client.py
index 9d0c666304..96c1f01f53 100644
--- a/argilla/src/argilla/client.py
+++ b/argilla/src/argilla/client.py
@@ -312,7 +312,9 @@ class Datasets(Sequence["Dataset"], ResourceHTMLReprMixin):
"""A collection of datasets. It can be used to create a new dataset or to get an existing one."""
class _Iterator(GenericIterator["Dataset"]):
- pass
+ def __next__(self):
+ dataset = super().__next__()
+ return dataset.get()
def __init__(self, client: "Argilla") -> None:
self._client = client
@@ -366,7 +368,7 @@ def __getitem__(self, index: slice) -> Sequence["Dataset"]: ...
def __getitem__(self, index) -> "Dataset":
model = self._api.list()[index]
- return self._from_model(model)
+ return self._from_model(model).get()
def __len__(self) -> int:
return len(self._api.list())
diff --git a/argilla/src/argilla/datasets/_io/_disk.py b/argilla/src/argilla/datasets/_io/_disk.py
index 09b4473182..b0d53ae634 100644
--- a/argilla/src/argilla/datasets/_io/_disk.py
+++ b/argilla/src/argilla/datasets/_io/_disk.py
@@ -114,6 +114,7 @@ def from_disk(
name=dataset_model.name, workspace_id=workspace.id
)
dataset = cls.from_model(model=dataset_model, client=client)
+ dataset.get()
else:
# Create a new dataset and load the settings and records
if not os.path.exists(settings_path):
diff --git a/argilla/src/argilla/datasets/_io/_hub.py b/argilla/src/argilla/datasets/_io/_hub.py
index a2914022e7..d45ac44a8a 100644
--- a/argilla/src/argilla/datasets/_io/_hub.py
+++ b/argilla/src/argilla/datasets/_io/_hub.py
@@ -220,8 +220,11 @@ def _log_dataset_records(hf_dataset: "HFDataset", dataset: "Dataset"):
for col in responses_columns:
question_name = col.split(".")[0]
if col.endswith("users"):
- response_questions[question_name]["users"] = hf_dataset[col]
- user_ids.update({UUID(user_id): UUID(user_id) for user_id in set(sum(hf_dataset[col], []))})
+ response_questions[question_name]["users"] = hf_dataset[col] or []
+ for users in hf_dataset[col]:
+ if users is None:
+ continue
+ user_ids.update({UUID(user_id): user_id for user_id in users})
elif col.endswith("responses"):
response_questions[question_name]["responses"] = hf_dataset[col]
elif col.endswith("status"):
@@ -240,7 +243,15 @@ def _log_dataset_records(hf_dataset: "HFDataset", dataset: "Dataset"):
user_ids[unknown_user_id] = my_user.id
# Create a mapper to map the Hugging Face dataset to a Record object
- mapping = {col: col for col in hf_dataset.column_names if ".suggestion" in col}
+ mapping = {}
+ for col in hf_dataset.column_names:
+ if ".suggestion" in col:
+ mapping[col] = col
+ elif col.startswith("metadata.") and col.replace("metadata.", "") in dataset.schema:
+ mapping[col] = col.replace("metadata.", "")
+ elif col.startswith("vector.") and col.replace("vector.", "") in dataset.schema:
+ mapping[col] = col.replace("vector.", "")
+
mapper = IngestedRecordMapper(dataset=dataset, mapping=mapping, user_id=my_user.id)
# Extract responses and create Record objects
@@ -249,14 +260,17 @@ def _log_dataset_records(hf_dataset: "HFDataset", dataset: "Dataset"):
for idx, row in enumerate(hf_dataset):
record = mapper(row)
for question_name, values in response_questions.items():
- response_values = values["responses"][idx]
- response_users = values["users"][idx]
- response_status = values["status"][idx]
+ response_values = values["responses"][idx] or []
+ response_users = values["users"][idx] or []
+ response_status = values["status"][idx] or []
+
+ used_users = set()
for value, user_id, status in zip(response_values, response_users, response_status):
user_id = user_ids[UUID(user_id)]
- if user_id in response_users:
+ if user_id in used_users:
continue
- response_users[user_id] = True
+
+ used_users.add(user_id)
response = Response(
user_id=user_id,
question_name=question_name,
diff --git a/argilla/src/argilla/responses.py b/argilla/src/argilla/responses.py
index 807627f624..2d8192cf5a 100644
--- a/argilla/src/argilla/responses.py
+++ b/argilla/src/argilla/responses.py
@@ -61,16 +61,16 @@ def __init__(
status (Union[ResponseStatus, str]): The status of the response as "draft", "submitted", "discarded".
"""
+ if isinstance(status, str):
+ status = ResponseStatus(status)
+
if question_name is None:
raise ValueError("question_name is required")
- if value is None:
+ if value is None and status == ResponseStatus.submitted:
raise ValueError("value is required")
if user_id is None:
raise ValueError("user_id is required")
- if isinstance(status, str):
- status = ResponseStatus(status)
-
self._record = _record
self.question_name = question_name
self.value = value
@@ -253,7 +253,7 @@ def _compute_user_id_from_responses(responses: List[Response]) -> Optional[UUID]
@staticmethod
def __responses_as_model_values(responses: List[Response]) -> Dict[str, Dict[str, Any]]:
"""Creates a dictionary of response values from a list of Responses"""
- return {answer.question_name: {"value": answer.value} for answer in responses}
+ return {answer.question_name: {"value": answer.value} for answer in responses if answer.value is not None}
@classmethod
def __model_as_responses_list(cls, model: UserResponseModel, record: "Record") -> List[Response]:
@@ -276,4 +276,12 @@ def __ranking_from_model_value(cls, value: List[Dict[str, Any]]) -> List[str]:
@classmethod
def __ranking_to_model_value(cls, value: List[str]) -> List[Dict[str, str]]:
- return [{"value": v} for v in value]
+ values = []
+ for v in value or []:
+ if isinstance(v, dict):
+ values.append(v)
+ elif isinstance(v, str):
+ values.append({"value": v})
+ else:
+ raise RecordResponsesError(f"Invalid value for ranking question: {v}")
+ return values
diff --git a/argilla/src/argilla/settings/_field.py b/argilla/src/argilla/settings/_field.py
index 3f39c1c1f7..722248053f 100644
--- a/argilla/src/argilla/settings/_field.py
+++ b/argilla/src/argilla/settings/_field.py
@@ -29,8 +29,7 @@
FieldSettings,
)
from argilla.settings._common import SettingsPropertyBase
-from argilla.settings._metadata import MetadataField, MetadataType
-from argilla.settings._vector import VectorField
+
try:
from typing import Self
@@ -296,21 +295,6 @@ def _field_from_model(model: FieldModel) -> Field:
raise ArgillaError(f"Unsupported field type: {model.settings.type}")
-def _field_from_dict(data: dict) -> Union[Field, VectorField, MetadataType]:
+def _field_from_dict(data: dict) -> Field:
"""Create a field instance from a field dictionary"""
- field_type = data["type"]
-
- if field_type == "text":
- return TextField.from_dict(data)
- elif field_type == "image":
- return ImageField.from_dict(data)
- elif field_type == "chat":
- return ChatField.from_dict(data)
- elif field_type == "custom":
- return CustomField.from_dict(data)
- elif field_type == "vector":
- return VectorField.from_dict(data)
- elif field_type == "metadata":
- return MetadataField.from_dict(data)
- else:
- raise ArgillaError(f"Unsupported field type: {field_type}")
+ return _field_from_model(FieldModel(**data))
diff --git a/argilla/src/argilla/settings/_metadata.py b/argilla/src/argilla/settings/_metadata.py
index 73e963c63d..ccc5a90b54 100644
--- a/argilla/src/argilla/settings/_metadata.py
+++ b/argilla/src/argilla/settings/_metadata.py
@@ -17,7 +17,6 @@
from argilla._api._metadata import MetadataAPI
from argilla._exceptions import MetadataError
from argilla._models import (
- MetadataPropertyType,
TermsMetadataPropertySettings,
FloatMetadataPropertySettings,
IntegerMetadataPropertySettings,
@@ -122,13 +121,12 @@ def __init__(
super().__init__(client=client)
try:
- settings = TermsMetadataPropertySettings(values=options, type=MetadataPropertyType.terms)
+ settings = TermsMetadataPropertySettings(values=options)
except ValueError as e:
raise MetadataError(f"Error defining metadata settings for {name}") from e
self._model = MetadataFieldModel(
name=name,
- type=MetadataPropertyType.terms,
title=title,
settings=settings,
visible_for_annotators=visible_for_annotators,
@@ -176,13 +174,12 @@ def __init__(
super().__init__(client=client)
try:
- settings = FloatMetadataPropertySettings(min=min, max=max, type=MetadataPropertyType.float)
+ settings = FloatMetadataPropertySettings(min=min, max=max)
except ValueError as e:
raise MetadataError(f"Error defining metadata settings for {name}") from e
self._model = MetadataFieldModel(
name=name,
- type=MetadataPropertyType.float,
title=title,
settings=settings,
visible_for_annotators=visible_for_annotators,
@@ -237,13 +234,12 @@ def __init__(
super().__init__(client=client)
try:
- settings = IntegerMetadataPropertySettings(min=min, max=max, type=MetadataPropertyType.integer)
+ settings = IntegerMetadataPropertySettings(min=min, max=max)
except ValueError as e:
raise MetadataError(f"Error defining metadata settings for {name}") from e
self._model = MetadataFieldModel(
name=name,
- type=MetadataPropertyType.integer,
title=title,
settings=settings,
visible_for_annotators=visible_for_annotators,
@@ -283,27 +279,14 @@ def from_model(cls, model: MetadataFieldModel) -> "IntegerMetadataProperty":
class MetadataField:
@classmethod
def from_model(cls, model: MetadataFieldModel) -> MetadataType:
- switch = {
- MetadataPropertyType.terms: TermsMetadataProperty,
- MetadataPropertyType.float: FloatMetadataProperty,
- MetadataPropertyType.integer: IntegerMetadataProperty,
- }
- metadata_type = model.type
- try:
- return switch[metadata_type].from_model(model)
- except KeyError as e:
- raise MetadataError(f"Unknown metadata property type: {metadata_type}") from e
+ if model.type == "terms":
+ return TermsMetadataProperty.from_model(model)
+ elif model.type == "float":
+ return FloatMetadataProperty.from_model(model)
+ elif model.type == "integer":
+ return IntegerMetadataProperty.from_model(model)
+ raise MetadataError(f"Unknown metadata property type: {model.type}")
@classmethod
def from_dict(cls, data: dict) -> MetadataType:
- switch = {
- MetadataPropertyType.terms: TermsMetadataProperty,
- MetadataPropertyType.float: FloatMetadataProperty,
- MetadataPropertyType.integer: IntegerMetadataProperty,
- }
- metadata_type = data["type"]
- try:
- metadata_model = MetadataFieldModel(**data)
- return switch[metadata_type].from_model(metadata_model)
- except KeyError as e:
- raise MetadataError(f"Unknown metadata property type: {metadata_type}") from e
+ return cls.from_model(MetadataFieldModel(**data))
diff --git a/argilla/tests/integration/test_listing_datasets.py b/argilla/tests/integration/test_listing_datasets.py
index c228968405..f47766c852 100644
--- a/argilla/tests/integration/test_listing_datasets.py
+++ b/argilla/tests/integration/test_listing_datasets.py
@@ -12,7 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-from argilla import Argilla, Dataset, Settings, TextField, TextQuestion, Workspace
+from argilla import Argilla, Dataset, Settings, TextField, TextQuestion, Workspace, TaskDistribution
class TestDatasetsList:
@@ -33,3 +33,28 @@ def test_list_datasets(self, client: Argilla):
for ds in datasets:
if ds.name == "test_dataset":
assert ds == dataset, "The dataset was not loaded properly"
+
+ def test_list_dataset_with_custom_task_distribution(self, client: Argilla, workspace: Workspace):
+ dataset = Dataset(
+ name="test_dataset",
+ workspace=workspace.name,
+ settings=Settings(
+ fields=[TextField(name="text")],
+ questions=[TextQuestion(name="text_question")],
+ distribution=TaskDistribution(min_submitted=4),
+ ),
+ client=client,
+ )
+ dataset.create()
+ datasets = client.datasets
+ assert len(datasets) > 0, "No datasets were found"
+
+ dataset_idx = 0
+ for idx, ds in enumerate(datasets):
+ if ds.id == dataset.id:
+ dataset_idx = idx
+ assert ds.settings.distribution.min_submitted == 4, "The dataset was not loaded properly"
+ break
+
+ ds = client.datasets[dataset_idx]
+ assert ds.settings.distribution.min_submitted == 4, "The dataset was not loaded properly"
diff --git a/argilla/tests/integration/test_manage_users.py b/argilla/tests/integration/test_manage_users.py
index 4671ce3ecd..80c0f7b2d9 100644
--- a/argilla/tests/integration/test_manage_users.py
+++ b/argilla/tests/integration/test_manage_users.py
@@ -64,6 +64,18 @@ def test_update_user(self, client: Argilla):
assert updated_user.last_name == "Updated Last Name"
assert updated_user.role == "admin"
+ def test_update_user_role(self, client: Argilla):
+ user = User(username=f"test_update_user_{uuid.uuid4()}", password="test_password")
+ client.users.add(user)
+
+ user = client.users(username=user.username)
+
+ user.role = "admin"
+ user.update()
+
+ updated_user = client.users(id=user.id)
+ assert updated_user.role == "admin"
+
def test_update_user_with_duplicate_username(self, client: Argilla):
user1 = User(username=f"test_user1_{uuid.uuid4()}", password="test_password")
user2 = User(username=f"test_user2_{uuid.uuid4()}", password="test_password")
diff --git a/argilla/tests/integration/test_update_records.py b/argilla/tests/integration/test_update_records.py
index 3690a3cd54..a6bc77cd13 100644
--- a/argilla/tests/integration/test_update_records.py
+++ b/argilla/tests/integration/test_update_records.py
@@ -45,6 +45,36 @@ def dataset(client: rg.Argilla, dataset_name: str) -> rg.Dataset:
return dataset
+class TestUpdateRecords:
+ def test_update_records_fields(self, client: rg.Argilla, dataset: rg.Dataset):
+ mock_data = [
+ {
+ "text": "Hello World, how are you?",
+ "label": "negative",
+ "id": uuid.uuid4(),
+ },
+ {
+ "text": "Hello World, how are you?",
+ "label": "negative",
+ "id": uuid.uuid4(),
+ },
+ {
+ "text": "Hello World, how are you?",
+ "label": "negative",
+ "id": uuid.uuid4(),
+ },
+ ]
+
+ dataset.records.log(records=mock_data)
+
+ updated_mock_data = [{"text": "New text", "id": r["id"]} for r in mock_data]
+
+ dataset.records.log(records=updated_mock_data)
+
+ for record in dataset.records():
+ assert record.fields["text"] == "New text"
+
+
class TestUpdateSuggestions:
def test_update_records_suggestions_from_data(self, client: rg.Argilla, dataset: rg.Dataset):
mock_data = [
diff --git a/argilla/tests/unit/models/__init__.py b/argilla/tests/unit/models/__init__.py
new file mode 100644
index 0000000000..749d13b87d
--- /dev/null
+++ b/argilla/tests/unit/models/__init__.py
@@ -0,0 +1,14 @@
+# Copyright 2024-present, Argilla, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
diff --git a/argilla/tests/unit/models/test_workspace_models.py b/argilla/tests/unit/models/test_workspace_models.py
new file mode 100644
index 0000000000..2eb3aa1eec
--- /dev/null
+++ b/argilla/tests/unit/models/test_workspace_models.py
@@ -0,0 +1,35 @@
+# Copyright 2024-present, Argilla, Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from datetime import datetime
+
+from dateutil import tz
+
+from argilla._models import WorkspaceModel
+
+
+class TestWorkspaceModels:
+ def test_create_workspace_with_isoformat_string(self):
+ workspace = WorkspaceModel(
+ name="workspace",
+ inserted_at="2024-12-12T09:44:24.989000Z",
+ updated_at="2024-12-12T09:44:24.989000Z",
+ )
+
+ expected_datetime = datetime(2024, 12, 12, 9, 44, 24, 989000, tzinfo=tz.tzutc())
+
+ assert workspace.name == "workspace"
+
+ assert workspace.inserted_at == expected_datetime
+ assert workspace.updated_at == expected_datetime
diff --git a/argilla/tests/unit/test_resources/test_users.py b/argilla/tests/unit/test_resources/test_users.py
index 93c3db9f27..7d9fc62fd2 100644
--- a/argilla/tests/unit/test_resources/test_users.py
+++ b/argilla/tests/unit/test_resources/test_users.py
@@ -322,3 +322,9 @@ def test_create_user(self, httpx_mock: HTTPXMock):
assert user.id == user_id
assert user.username == "test-user"
assert user.password == "test-password"
+
+
+class TestUserModel:
+ def test_create_user_with_empty_first_name(self):
+ user = UserModel(username="test-user", first_name=None)
+ assert user.first_name is user.username
diff --git a/argilla/tests/unit/test_settings/test_metadata.py b/argilla/tests/unit/test_settings/test_metadata.py
index e7fca39816..ce9cda3d1b 100644
--- a/argilla/tests/unit/test_settings/test_metadata.py
+++ b/argilla/tests/unit/test_settings/test_metadata.py
@@ -37,7 +37,6 @@ def test_create_metadata_terms(self, options: list):
"name": "metadata",
"settings": {"type": "terms", "values": options, "visible_for_annotators": True},
"title": "A metadata property",
- "type": "terms",
"visible_for_annotators": True,
"inserted_at": None,
"updated_at": None,
@@ -59,7 +58,6 @@ def test_create_terms_metadata_without_options(self):
"name": "metadata",
"title": "metadata",
"settings": {"type": "terms", "values": None, "visible_for_annotators": True},
- "type": "terms",
"visible_for_annotators": True,
"inserted_at": None,
"updated_at": None,