mirror of
https://github.com/excalidraw/excalidraw.git
synced 2025-05-03 10:00:07 -04:00
feat: wireframe-to-code (#7334)
This commit is contained in:
parent
d1e4421823
commit
c7ee46e7f8
63 changed files with 2106 additions and 444 deletions
51
src/data/EditorLocalStorage.ts
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51
src/data/EditorLocalStorage.ts
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@ -0,0 +1,51 @@
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import { EDITOR_LS_KEYS } from "../constants";
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import { JSONValue } from "../types";
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export class EditorLocalStorage {
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static has(key: typeof EDITOR_LS_KEYS[keyof typeof EDITOR_LS_KEYS]) {
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try {
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return !!window.localStorage.getItem(key);
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} catch (error: any) {
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console.warn(`localStorage.getItem error: ${error.message}`);
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return false;
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}
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}
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static get<T extends JSONValue>(
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key: typeof EDITOR_LS_KEYS[keyof typeof EDITOR_LS_KEYS],
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) {
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try {
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const value = window.localStorage.getItem(key);
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if (value) {
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return JSON.parse(value) as T;
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}
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return null;
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} catch (error: any) {
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console.warn(`localStorage.getItem error: ${error.message}`);
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return null;
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}
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}
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static set = (
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key: typeof EDITOR_LS_KEYS[keyof typeof EDITOR_LS_KEYS],
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value: JSONValue,
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) => {
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try {
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window.localStorage.setItem(key, JSON.stringify(value));
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return true;
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} catch (error: any) {
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console.warn(`localStorage.setItem error: ${error.message}`);
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return false;
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}
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};
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static delete = (
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name: typeof EDITOR_LS_KEYS[keyof typeof EDITOR_LS_KEYS],
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) => {
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try {
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window.localStorage.removeItem(name);
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} catch (error: any) {
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console.warn(`localStorage.removeItem error: ${error.message}`);
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}
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};
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}
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300
src/data/ai/types.ts
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300
src/data/ai/types.ts
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@ -0,0 +1,300 @@
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export namespace OpenAIInput {
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type ChatCompletionContentPart =
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| ChatCompletionContentPartText
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| ChatCompletionContentPartImage;
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interface ChatCompletionContentPartImage {
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image_url: ChatCompletionContentPartImage.ImageURL;
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/**
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* The type of the content part.
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*/
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type: "image_url";
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}
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namespace ChatCompletionContentPartImage {
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export interface ImageURL {
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/**
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* Either a URL of the image or the base64 encoded image data.
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*/
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url: string;
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/**
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* Specifies the detail level of the image.
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*/
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detail?: "auto" | "low" | "high";
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}
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}
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interface ChatCompletionContentPartText {
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/**
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* The text content.
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*/
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text: string;
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/**
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* The type of the content part.
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*/
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type: "text";
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}
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interface ChatCompletionUserMessageParam {
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/**
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* The contents of the user message.
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*/
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content: string | Array<ChatCompletionContentPart> | null;
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/**
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* The role of the messages author, in this case `user`.
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*/
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role: "user";
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}
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interface ChatCompletionSystemMessageParam {
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/**
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* The contents of the system message.
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*/
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content: string | null;
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/**
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* The role of the messages author, in this case `system`.
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*/
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role: "system";
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}
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export interface ChatCompletionCreateParamsBase {
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/**
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* A list of messages comprising the conversation so far.
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* [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models).
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*/
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messages: Array<
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ChatCompletionUserMessageParam | ChatCompletionSystemMessageParam
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>;
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/**
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* ID of the model to use. See the
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* [model endpoint compatibility](https://platform.openai.com/docs/models/model-endpoint-compatibility)
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* table for details on which models work with the Chat API.
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*/
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model:
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| (string & {})
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| "gpt-4-1106-preview"
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| "gpt-4-vision-preview"
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| "gpt-4"
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| "gpt-4-0314"
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| "gpt-4-0613"
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| "gpt-4-32k"
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| "gpt-4-32k-0314"
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| "gpt-4-32k-0613"
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| "gpt-3.5-turbo"
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| "gpt-3.5-turbo-16k"
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| "gpt-3.5-turbo-0301"
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| "gpt-3.5-turbo-0613"
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| "gpt-3.5-turbo-16k-0613";
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/**
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* Number between -2.0 and 2.0. Positive values penalize new tokens based on their
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* existing frequency in the text so far, decreasing the model's likelihood to
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* repeat the same line verbatim.
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*
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* [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/gpt/parameter-details)
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*/
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frequency_penalty?: number | null;
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/**
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* Modify the likelihood of specified tokens appearing in the completion.
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*
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* Accepts a JSON object that maps tokens (specified by their token ID in the
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* tokenizer) to an associated bias value from -100 to 100. Mathematically, the
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* bias is added to the logits generated by the model prior to sampling. The exact
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* effect will vary per model, but values between -1 and 1 should decrease or
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* increase likelihood of selection; values like -100 or 100 should result in a ban
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* or exclusive selection of the relevant token.
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*/
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logit_bias?: Record<string, number> | null;
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/**
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* The maximum number of [tokens](/tokenizer) to generate in the chat completion.
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*
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* The total length of input tokens and generated tokens is limited by the model's
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* context length.
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* [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
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* for counting tokens.
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*/
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max_tokens?: number | null;
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/**
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* How many chat completion choices to generate for each input message.
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*/
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n?: number | null;
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/**
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* Number between -2.0 and 2.0. Positive values penalize new tokens based on
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* whether they appear in the text so far, increasing the model's likelihood to
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* talk about new topics.
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*
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* [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/gpt/parameter-details)
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*/
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presence_penalty?: number | null;
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/**
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* This feature is in Beta. If specified, our system will make a best effort to
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* sample deterministically, such that repeated requests with the same `seed` and
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* parameters should return the same result. Determinism is not guaranteed, and you
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* should refer to the `system_fingerprint` response parameter to monitor changes
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* in the backend.
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*/
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seed?: number | null;
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/**
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* Up to 4 sequences where the API will stop generating further tokens.
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*/
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stop?: string | null | Array<string>;
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/**
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* If set, partial message deltas will be sent, like in ChatGPT. Tokens will be
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* sent as data-only
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* [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
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* as they become available, with the stream terminated by a `data: [DONE]`
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* message.
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* [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
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*/
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stream?: boolean | null;
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/**
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* What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
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* make the output more random, while lower values like 0.2 will make it more
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* focused and deterministic.
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*
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* We generally recommend altering this or `top_p` but not both.
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*/
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temperature?: number | null;
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/**
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* An alternative to sampling with temperature, called nucleus sampling, where the
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* model considers the results of the tokens with top_p probability mass. So 0.1
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* means only the tokens comprising the top 10% probability mass are considered.
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*
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* We generally recommend altering this or `temperature` but not both.
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*/
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top_p?: number | null;
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/**
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* A unique identifier representing your end-user, which can help OpenAI to monitor
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* and detect abuse.
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* [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
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*/
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user?: string;
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}
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}
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export namespace OpenAIOutput {
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export interface ChatCompletion {
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/**
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* A unique identifier for the chat completion.
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*/
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id: string;
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/**
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* A list of chat completion choices. Can be more than one if `n` is greater
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* than 1.
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*/
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choices: Array<Choice>;
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/**
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* The Unix timestamp (in seconds) of when the chat completion was created.
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*/
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created: number;
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/**
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* The model used for the chat completion.
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*/
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model: string;
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/**
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* The object type, which is always `chat.completion`.
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*/
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object: "chat.completion";
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/**
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* This fingerprint represents the backend configuration that the model runs with.
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*
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* Can be used in conjunction with the `seed` request parameter to understand when
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* backend changes have been made that might impact determinism.
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*/
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system_fingerprint?: string;
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/**
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* Usage statistics for the completion request.
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*/
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usage?: CompletionUsage;
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}
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export interface Choice {
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/**
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* The reason the model stopped generating tokens. This will be `stop` if the model
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* hit a natural stop point or a provided stop sequence, `length` if the maximum
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* number of tokens specified in the request was reached, `content_filter` if
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* content was omitted due to a flag from our content filters, `tool_calls` if the
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* model called a tool, or `function_call` (deprecated) if the model called a
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* function.
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*/
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finish_reason:
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| "stop"
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| "length"
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| "tool_calls"
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| "content_filter"
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| "function_call";
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/**
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* The index of the choice in the list of choices.
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*/
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index: number;
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/**
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* A chat completion message generated by the model.
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*/
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message: ChatCompletionMessage;
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}
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interface ChatCompletionMessage {
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/**
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* The contents of the message.
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*/
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content: string | null;
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/**
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* The role of the author of this message.
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*/
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role: "assistant";
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}
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/**
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* Usage statistics for the completion request.
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*/
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interface CompletionUsage {
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/**
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* Number of tokens in the generated completion.
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*/
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completion_tokens: number;
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/**
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* Number of tokens in the prompt.
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*/
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prompt_tokens: number;
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/**
|
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* Total number of tokens used in the request (prompt + completion).
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*/
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total_tokens: number;
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}
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export interface APIError {
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readonly status: 400 | 401 | 403 | 404 | 409 | 422 | 429 | 500 | undefined;
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readonly headers: Headers | undefined;
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readonly error: { message: string } | undefined;
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readonly code: string | null | undefined;
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readonly param: string | null | undefined;
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readonly type: string | undefined;
|
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}
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}
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|
@ -3,10 +3,11 @@ import {
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copyTextToSystemClipboard,
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} from "../clipboard";
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import { DEFAULT_EXPORT_PADDING, isFirefox, MIME_TYPES } from "../constants";
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import { getNonDeletedElements, isFrameElement } from "../element";
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import { getNonDeletedElements } from "../element";
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import { isFrameLikeElement } from "../element/typeChecks";
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import {
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ExcalidrawElement,
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ExcalidrawFrameElement,
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ExcalidrawFrameLikeElement,
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NonDeletedExcalidrawElement,
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} from "../element/types";
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import { t } from "../i18n";
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|
@ -38,7 +39,7 @@ export const prepareElementsForExport = (
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exportSelectionOnly &&
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isSomeElementSelected(elements, { selectedElementIds });
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|
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let exportingFrame: ExcalidrawFrameElement | null = null;
|
||||
let exportingFrame: ExcalidrawFrameLikeElement | null = null;
|
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let exportedElements = isExportingSelection
|
||||
? getSelectedElements(
|
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elements,
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|
@ -50,7 +51,10 @@ export const prepareElementsForExport = (
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: elements;
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if (isExportingSelection) {
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if (exportedElements.length === 1 && isFrameElement(exportedElements[0])) {
|
||||
if (
|
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exportedElements.length === 1 &&
|
||||
isFrameLikeElement(exportedElements[0])
|
||||
) {
|
||||
exportingFrame = exportedElements[0];
|
||||
exportedElements = elementsOverlappingBBox({
|
||||
elements,
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||||
|
@ -93,7 +97,7 @@ export const exportCanvas = async (
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viewBackgroundColor: string;
|
||||
name: string;
|
||||
fileHandle?: FileSystemHandle | null;
|
||||
exportingFrame: ExcalidrawFrameElement | null;
|
||||
exportingFrame: ExcalidrawFrameLikeElement | null;
|
||||
},
|
||||
) => {
|
||||
if (elements.length === 0) {
|
||||
|
|
104
src/data/magic.ts
Normal file
104
src/data/magic.ts
Normal file
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import { Theme } from "../element/types";
|
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import { DataURL } from "../types";
|
||||
import { OpenAIInput, OpenAIOutput } from "./ai/types";
|
||||
|
||||
export type MagicCacheData =
|
||||
| {
|
||||
status: "pending";
|
||||
}
|
||||
| { status: "done"; html: string }
|
||||
| {
|
||||
status: "error";
|
||||
message?: string;
|
||||
code: "ERR_GENERATION_INTERRUPTED" | string;
|
||||
};
|
||||
|
||||
const SYSTEM_PROMPT = `You are a skilled front-end developer who builds interactive prototypes from wireframes, and is an expert at CSS Grid and Flex design.
|
||||
Your role is to transform low-fidelity wireframes into working front-end HTML code.
|
||||
|
||||
YOU MUST FOLLOW FOLLOWING RULES:
|
||||
|
||||
- Use HTML, CSS, JavaScript to build a responsive, accessible, polished prototype
|
||||
- Leverage Tailwind for styling and layout (import as script <script src="https://cdn.tailwindcss.com"></script>)
|
||||
- Inline JavaScript when needed
|
||||
- Fetch dependencies from CDNs when needed (using unpkg or skypack)
|
||||
- Source images from Unsplash or create applicable placeholders
|
||||
- Interpret annotations as intended vs literal UI
|
||||
- Fill gaps using your expertise in UX and business logic
|
||||
- generate primarily for desktop UI, but make it responsive.
|
||||
- Use grid and flexbox wherever applicable.
|
||||
- Convert the wireframe in its entirety, don't omit elements if possible.
|
||||
|
||||
If the wireframes, diagrams, or text is unclear or unreadable, refer to provided text for clarification.
|
||||
|
||||
Your goal is a production-ready prototype that brings the wireframes to life.
|
||||
|
||||
Please output JUST THE HTML file containing your best attempt at implementing the provided wireframes.`;
|
||||
|
||||
export async function diagramToHTML({
|
||||
image,
|
||||
apiKey,
|
||||
text,
|
||||
theme = "light",
|
||||
}: {
|
||||
image: DataURL;
|
||||
apiKey: string;
|
||||
text: string;
|
||||
theme?: Theme;
|
||||
}) {
|
||||
const body: OpenAIInput.ChatCompletionCreateParamsBase = {
|
||||
model: "gpt-4-vision-preview",
|
||||
// 4096 are max output tokens allowed for `gpt-4-vision-preview` currently
|
||||
max_tokens: 4096,
|
||||
temperature: 0.1,
|
||||
messages: [
|
||||
{
|
||||
role: "system",
|
||||
content: SYSTEM_PROMPT,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
type: "image_url",
|
||||
image_url: {
|
||||
url: image,
|
||||
detail: "high",
|
||||
},
|
||||
},
|
||||
{
|
||||
type: "text",
|
||||
text: `Above is the reference wireframe. Please make a new website based on these and return just the HTML file. Also, please make it for the ${theme} theme. What follows are the wireframe's text annotations (if any)...`,
|
||||
},
|
||||
{
|
||||
type: "text",
|
||||
text,
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
let result:
|
||||
| ({ ok: true } & OpenAIOutput.ChatCompletion)
|
||||
| ({ ok: false } & OpenAIOutput.APIError);
|
||||
|
||||
const resp = await fetch("https://api.openai.com/v1/chat/completions", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
body: JSON.stringify(body),
|
||||
});
|
||||
|
||||
if (resp.ok) {
|
||||
const json: OpenAIOutput.ChatCompletion = await resp.json();
|
||||
result = { ...json, ok: true };
|
||||
} else {
|
||||
const json: OpenAIOutput.APIError = await resp.json();
|
||||
result = { ...json, ok: false };
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
|
@ -1,5 +1,6 @@
|
|||
import {
|
||||
ExcalidrawElement,
|
||||
ExcalidrawElementType,
|
||||
ExcalidrawSelectionElement,
|
||||
ExcalidrawTextElement,
|
||||
FontFamilyValues,
|
||||
|
@ -68,6 +69,7 @@ export const AllowedExcalidrawActiveTools: Record<
|
|||
embeddable: true,
|
||||
hand: true,
|
||||
laser: false,
|
||||
magicframe: false,
|
||||
};
|
||||
|
||||
export type RestoredDataState = {
|
||||
|
@ -111,7 +113,7 @@ const restoreElementWithProperties = <
|
|||
// @ts-ignore TS complains here but type checks the call sites fine.
|
||||
keyof K
|
||||
> &
|
||||
Partial<Pick<ExcalidrawElement, "type" | "x" | "y">>,
|
||||
Partial<Pick<ExcalidrawElement, "type" | "x" | "y" | "customData">>,
|
||||
): T => {
|
||||
const base: Pick<T, keyof ExcalidrawElement> & {
|
||||
[PRECEDING_ELEMENT_KEY]?: string;
|
||||
|
@ -159,8 +161,9 @@ const restoreElementWithProperties = <
|
|||
locked: element.locked ?? false,
|
||||
};
|
||||
|
||||
if ("customData" in element) {
|
||||
base.customData = element.customData;
|
||||
if ("customData" in element || "customData" in extra) {
|
||||
base.customData =
|
||||
"customData" in extra ? extra.customData : element.customData;
|
||||
}
|
||||
|
||||
if (PRECEDING_ELEMENT_KEY in element) {
|
||||
|
@ -273,7 +276,7 @@ const restoreElement = (
|
|||
|
||||
return restoreElementWithProperties(element, {
|
||||
type:
|
||||
(element.type as ExcalidrawElement["type"] | "draw") === "draw"
|
||||
(element.type as ExcalidrawElementType | "draw") === "draw"
|
||||
? "line"
|
||||
: element.type,
|
||||
startBinding: repairBinding(element.startBinding),
|
||||
|
@ -289,15 +292,15 @@ const restoreElement = (
|
|||
|
||||
// generic elements
|
||||
case "ellipse":
|
||||
return restoreElementWithProperties(element, {});
|
||||
case "rectangle":
|
||||
return restoreElementWithProperties(element, {});
|
||||
case "diamond":
|
||||
case "iframe":
|
||||
return restoreElementWithProperties(element, {});
|
||||
case "embeddable":
|
||||
return restoreElementWithProperties(element, {
|
||||
validated: null,
|
||||
});
|
||||
case "magicframe":
|
||||
case "frame":
|
||||
return restoreElementWithProperties(element, {
|
||||
name: element.name ?? null,
|
||||
|
|
|
@ -15,6 +15,7 @@ import {
|
|||
ElementConstructorOpts,
|
||||
newFrameElement,
|
||||
newImageElement,
|
||||
newMagicFrameElement,
|
||||
newTextElement,
|
||||
} from "../element/newElement";
|
||||
import {
|
||||
|
@ -26,12 +27,13 @@ import {
|
|||
ExcalidrawArrowElement,
|
||||
ExcalidrawBindableElement,
|
||||
ExcalidrawElement,
|
||||
ExcalidrawEmbeddableElement,
|
||||
ExcalidrawFrameElement,
|
||||
ExcalidrawFreeDrawElement,
|
||||
ExcalidrawGenericElement,
|
||||
ExcalidrawIframeLikeElement,
|
||||
ExcalidrawImageElement,
|
||||
ExcalidrawLinearElement,
|
||||
ExcalidrawMagicFrameElement,
|
||||
ExcalidrawSelectionElement,
|
||||
ExcalidrawTextElement,
|
||||
FileId,
|
||||
|
@ -61,7 +63,12 @@ export type ValidLinearElement = {
|
|||
| {
|
||||
type: Exclude<
|
||||
ExcalidrawBindableElement["type"],
|
||||
"image" | "text" | "frame" | "embeddable"
|
||||
| "image"
|
||||
| "text"
|
||||
| "frame"
|
||||
| "magicframe"
|
||||
| "embeddable"
|
||||
| "iframe"
|
||||
>;
|
||||
id?: ExcalidrawGenericElement["id"];
|
||||
}
|
||||
|
@ -69,7 +76,12 @@ export type ValidLinearElement = {
|
|||
id: ExcalidrawGenericElement["id"];
|
||||
type?: Exclude<
|
||||
ExcalidrawBindableElement["type"],
|
||||
"image" | "text" | "frame" | "embeddable"
|
||||
| "image"
|
||||
| "text"
|
||||
| "frame"
|
||||
| "magicframe"
|
||||
| "embeddable"
|
||||
| "iframe"
|
||||
>;
|
||||
}
|
||||
)
|
||||
|
@ -93,7 +105,12 @@ export type ValidLinearElement = {
|
|||
| {
|
||||
type: Exclude<
|
||||
ExcalidrawBindableElement["type"],
|
||||
"image" | "text" | "frame" | "embeddable"
|
||||
| "image"
|
||||
| "text"
|
||||
| "frame"
|
||||
| "magicframe"
|
||||
| "embeddable"
|
||||
| "iframe"
|
||||
>;
|
||||
id?: ExcalidrawGenericElement["id"];
|
||||
}
|
||||
|
@ -101,7 +118,12 @@ export type ValidLinearElement = {
|
|||
id: ExcalidrawGenericElement["id"];
|
||||
type?: Exclude<
|
||||
ExcalidrawBindableElement["type"],
|
||||
"image" | "text" | "frame" | "embeddable"
|
||||
| "image"
|
||||
| "text"
|
||||
| "frame"
|
||||
| "magicframe"
|
||||
| "embeddable"
|
||||
| "iframe"
|
||||
>;
|
||||
}
|
||||
)
|
||||
|
@ -137,7 +159,7 @@ export type ValidContainer =
|
|||
export type ExcalidrawElementSkeleton =
|
||||
| Extract<
|
||||
Exclude<ExcalidrawElement, ExcalidrawSelectionElement>,
|
||||
ExcalidrawEmbeddableElement | ExcalidrawFreeDrawElement
|
||||
ExcalidrawIframeLikeElement | ExcalidrawFreeDrawElement
|
||||
>
|
||||
| ({
|
||||
type: Extract<ExcalidrawLinearElement["type"], "line">;
|
||||
|
@ -163,7 +185,12 @@ export type ExcalidrawElementSkeleton =
|
|||
type: "frame";
|
||||
children: readonly ExcalidrawElement["id"][];
|
||||
name?: string;
|
||||
} & Partial<ExcalidrawFrameElement>);
|
||||
} & Partial<ExcalidrawFrameElement>)
|
||||
| ({
|
||||
type: "magicframe";
|
||||
children: readonly ExcalidrawElement["id"][];
|
||||
name?: string;
|
||||
} & Partial<ExcalidrawMagicFrameElement>);
|
||||
|
||||
const DEFAULT_LINEAR_ELEMENT_PROPS = {
|
||||
width: 100,
|
||||
|
@ -547,7 +574,16 @@ export const convertToExcalidrawElements = (
|
|||
});
|
||||
break;
|
||||
}
|
||||
case "magicframe": {
|
||||
excalidrawElement = newMagicFrameElement({
|
||||
x: 0,
|
||||
y: 0,
|
||||
...element,
|
||||
});
|
||||
break;
|
||||
}
|
||||
case "freedraw":
|
||||
case "iframe":
|
||||
case "embeddable": {
|
||||
excalidrawElement = element;
|
||||
break;
|
||||
|
@ -656,7 +692,7 @@ export const convertToExcalidrawElements = (
|
|||
// need to calculate coordinates and dimensions of frame which is possibe after all
|
||||
// frame children are processed.
|
||||
for (const [id, element] of elementsWithIds) {
|
||||
if (element.type !== "frame") {
|
||||
if (element.type !== "frame" && element.type !== "magicframe") {
|
||||
continue;
|
||||
}
|
||||
const frame = elementStore.getElement(id);
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue