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lib.ts
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lib.ts
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import { OpenAI } from 'openai'
import { OpenAPI, ResourceService, type Script } from '../../gen'
import type { Writable } from 'svelte/store'
import type { DBSchema, GraphqlSchema, SQLSchema } from '$lib/stores'
import { formatResourceTypes } from './utils'
import { EDIT_CONFIG, FIX_CONFIG, GEN_CONFIG } from './prompts'
import { buildClientSchema, printSchema } from 'graphql'
import type {
ChatCompletionCreateParamsStreaming,
ChatCompletionMessageParam
} from 'openai/resources/index.mjs'
export const SUPPORTED_LANGUAGES = new Set(Object.keys(GEN_CONFIG.prompts))
const openaiConfig: ChatCompletionCreateParamsStreaming = {
temperature: 0,
max_tokens: 4096,
model: 'gpt-4-0125-preview',
seed: 42,
stream: true,
messages: []
}
class WorkspacedOpenai {
private client: OpenAI | undefined
init(workspace: string, token: string | undefined = undefined) {
const baseURL = `${location.origin}${OpenAPI.BASE}/w/${workspace}/openai/proxy`
this.client = new OpenAI({
baseURL,
apiKey: 'fakekey',
defaultHeaders: {
Authorization: token ? `Bearer ${token}` : ''
},
dangerouslyAllowBrowser: true
})
}
getClient() {
if (!this.client) {
throw new Error('OpenAI not initialized')
}
return this.client
}
}
export let workspacedOpenai = new WorkspacedOpenai()
export async function testKey({
apiKey,
abortController,
messages
}: {
apiKey?: string
messages: ChatCompletionMessageParam[]
abortController: AbortController
}) {
if (apiKey) {
const openai = new OpenAI({
apiKey,
dangerouslyAllowBrowser: true
})
await openai.chat.completions.create(
{
...openaiConfig,
messages,
stream: false
},
{
signal: abortController.signal
}
)
} else {
await getNonStreamingCompletion(messages, abortController, undefined, true)
}
}
interface BaseOptions {
language: Script['language'] | 'frontend' | 'transformer'
dbSchema: DBSchema | undefined
workspace: string
}
interface ScriptGenerationOptions extends BaseOptions {
description: string
type: 'gen'
}
interface EditScriptOptions extends BaseOptions {
description: string
code: string
type: 'edit'
}
interface FixScriptOpions extends BaseOptions {
code: string
error: string
type: 'fix'
}
type CopilotOptions = ScriptGenerationOptions | EditScriptOptions | FixScriptOpions
async function getResourceTypes(scriptOptions: CopilotOptions) {
const elems =
scriptOptions.type === 'gen' || scriptOptions.type === 'edit' ? [scriptOptions.description] : []
if (scriptOptions.type === 'edit' || scriptOptions.type === 'fix') {
const { code } = scriptOptions
const mainSig =
scriptOptions.language === 'python3'
? code.match(/def main\((.*?)\)/s)
: code.match(/function main\((.*?)\)/s)
if (mainSig) {
elems.push(mainSig[1])
}
const matches = code.matchAll(/^(?:type|class) ([a-zA-Z0-9_]+)/gm)
for (const match of matches) {
elems.push(match[1])
}
}
const resourceTypes = await ResourceService.queryResourceTypes({
workspace: scriptOptions.workspace,
text: elems.join(';'),
limit: 3
})
return resourceTypes
}
export async function addResourceTypes(scriptOptions: CopilotOptions, prompt: string) {
if (['deno', 'bun', 'nativets', 'python3'].includes(scriptOptions.language)) {
const resourceTypes = await getResourceTypes(scriptOptions)
const resourceTypesText = formatResourceTypes(
resourceTypes,
scriptOptions.language === 'python3' ? 'python3' : 'typescript'
)
prompt = prompt.replace('{resourceTypes}', resourceTypesText)
}
return prompt
}
export const MAX_SCHEMA_LENGTH = 100000 * 3.5
export function addThousandsSeparator(n: number) {
return n.toFixed().replace(/\B(?=(\d{3})+(?!\d))/g, "'")
}
export function stringifySchema(
dbSchema: Omit<SQLSchema, 'stringified'> | Omit<GraphqlSchema, 'stringified'>
) {
const { schema, lang } = dbSchema
if (lang === 'graphql') {
let graphqlSchema = printSchema(buildClientSchema(schema))
return graphqlSchema
} else {
let smallerSchema: {
[schemaKey: string]: {
[tableKey: string]: Array<[string, string, boolean, string?]>
}
} = {}
for (const schemaKey in schema) {
smallerSchema[schemaKey] = {}
for (const tableKey in schema[schemaKey]) {
smallerSchema[schemaKey][tableKey] = []
for (const colKey in schema[schemaKey][tableKey]) {
const col = schema[schemaKey][tableKey][colKey]
const p: [string, string, boolean, string?] = [colKey, col.type, col.required]
if (col.default) {
p.push(col.default)
}
smallerSchema[schemaKey][tableKey].push(p)
}
}
}
let finalSchema: typeof smallerSchema | (typeof smallerSchema)['schemaKey'] = smallerSchema
if (dbSchema.publicOnly) {
finalSchema =
smallerSchema.public || smallerSchema.PUBLIC || smallerSchema.dbo || smallerSchema
} else if (lang === 'mysql' && Object.keys(smallerSchema).length === 1) {
finalSchema = smallerSchema[Object.keys(smallerSchema)[0]]
}
return JSON.stringify(finalSchema)
}
}
function addDBSChema(scriptOptions: CopilotOptions, prompt: string) {
const { dbSchema, language } = scriptOptions
if (
dbSchema &&
['postgresql', 'mysql', 'snowflake', 'bigquery', 'mssql', 'graphql'].includes(language) && // make sure we are using a SQL/query language
language === dbSchema.lang // make sure we are using the same language as the schema
) {
let { stringified } = dbSchema
if (dbSchema.lang === 'graphql') {
if (stringified.length > MAX_SCHEMA_LENGTH) {
stringified = stringified.slice(0, MAX_SCHEMA_LENGTH) + '...'
}
prompt = prompt + '\nHere is the GraphQL schema: <schema>\n' + stringified + '\n</schema>'
} else {
if (stringified.length > MAX_SCHEMA_LENGTH) {
stringified = stringified.slice(0, MAX_SCHEMA_LENGTH) + '...'
}
prompt =
prompt +
"\nHere's the database schema, each column is in the format [name, type, required, default?]: <dbschema>\n" +
stringified +
'\n</dbschema>'
}
}
return prompt
}
async function getPrompts(scriptOptions: CopilotOptions) {
const promptsConfig = PROMPTS_CONFIGS[scriptOptions.type]
let prompt = promptsConfig.prompts[scriptOptions.language].prompt
if (scriptOptions.type !== 'fix') {
prompt = prompt.replace('{description}', scriptOptions.description)
}
if (scriptOptions.type !== 'gen') {
prompt = prompt.replace('{code}', scriptOptions.code)
}
if (scriptOptions.type === 'fix') {
if (scriptOptions.language === 'frontend') {
throw new Error('Fixing frontend code is not supported')
}
prompt = prompt.replace('{error}', scriptOptions.error)
}
prompt = await addResourceTypes(scriptOptions, prompt)
prompt = addDBSChema(scriptOptions, prompt)
return { prompt, systemPrompt: promptsConfig.system }
}
const PROMPTS_CONFIGS = {
fix: FIX_CONFIG,
edit: EDIT_CONFIG,
gen: GEN_CONFIG
}
export async function getNonStreamingCompletion(
messages: ChatCompletionMessageParam[],
abortController: AbortController,
model = openaiConfig.model,
noCache?: boolean
) {
const openaiClient = workspacedOpenai.getClient()
const completion = await openaiClient.chat.completions.create(
{
...openaiConfig,
messages,
stream: false,
model
},
{
query: {
no_cache: noCache
},
signal: abortController.signal
}
)
// if (completion.usage) {
// const { prompt_tokens, completion_tokens } = completion.usage
// console.log('Cost: ', (prompt_tokens * 0.0015 + completion_tokens * 0.002) / 1000)
// }
return completion.choices[0]?.message.content || ''
}
export async function getCompletion(
messages: ChatCompletionMessageParam[],
abortController: AbortController,
model = openaiConfig.model
) {
const openaiClient = workspacedOpenai.getClient()
const completion = await openaiClient.chat.completions.create(
{
...openaiConfig,
messages,
model
},
{
signal: abortController.signal
}
)
return completion
}
export async function copilot(
scriptOptions: CopilotOptions,
generatedCode: Writable<string>,
abortController: AbortController,
generatedExplanation?: Writable<string>
) {
const { prompt, systemPrompt } = await getPrompts(scriptOptions)
const completion = await getCompletion(
[
{
role: 'system',
content: systemPrompt
},
{
role: 'user',
content: prompt
}
],
abortController
)
let response = ''
let code = ''
for await (const part of completion) {
response += part.choices[0]?.delta?.content || ''
let match = response.match(/```[a-zA-Z]+\n([\s\S]*?)\n```/)
if (match) {
// if we have a full code block
code = match[1]
generatedCode.set(code)
if (scriptOptions.type === 'fix') {
// in fix mode, check for explanation
let explanationMatch = response.match(/<explanation>([\s\S]+)<\/explanation>/)
if (explanationMatch) {
const explanation = explanationMatch[1].trim()
generatedExplanation?.set(explanation)
break
}
explanationMatch = response.match(/<explanation>([\s\S]+)/)
if (!explanationMatch) {
continue
}
const explanation = explanationMatch[1].replace(/<\/?e?x?p?l?a?n?a?t?i?o?n?>?$/, '').trim()
generatedExplanation?.set(explanation)
continue
} else {
// otherwise stop generating
break
}
}
// partial code block, keep going
match = response.match(/```[a-zA-Z]+\n([\s\S]*)/)
if (!match) {
continue
}
code = match[1]
if (!code.endsWith('`')) {
// skip displaying if possible that part of three ticks (end of code block)s
generatedCode.set(code)
}
}
// make sure we display the latest and complete code
generatedCode.set(code)
if (code.length === 0) {
throw new Error('No code block found')
}
return code
}
function getStringEndDelta(prev: string, now: string) {
return now.slice(prev.length)
}
export async function deltaCodeCompletion(
messages: ChatCompletionMessageParam[],
generatedCodeDelta: Writable<string>,
abortController: AbortController
) {
const completion = await getCompletion(messages, abortController)
let response = ''
let code = ''
let delta = ''
for await (const part of completion) {
response += part.choices[0]?.delta?.content || ''
let match = response.match(/```[a-zA-Z]+\n([\s\S]*?)\n```/)
if (match) {
// if we have a full code block
delta = getStringEndDelta(code, match[1])
code = match[1]
generatedCodeDelta.set(delta)
break
}
// partial code block, keep going
match = response.match(/```[a-zA-Z]+\n([\s\S]*)/)
if (!match) {
continue
}
if (!match[1].endsWith('`')) {
// skip udpating if possible that part of three ticks (end of code block)s
delta = getStringEndDelta(code, match[1])
generatedCodeDelta.set(delta)
code = match[1]
}
}
if (code.length === 0) {
throw new Error('No code block found')
}
return code
}