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https://github.com/farcasclaudiu/Flowise.git
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Chore/refractor (#4454)
* markdown files and env examples cleanup * components update * update jsonlines description * server refractor * update telemetry * add execute custom node * add ui refractor * add username and password authenticate * correctly retrieve past images in agentflowv2 * disable e2e temporarily * add existing username and password authenticate * update migration to default workspace * update todo * blob storage migrating * throw error on agent tool call error * add missing execution import * add referral * chore: add error message when importData is undefined * migrate api keys to db * fix: data too long for column executionData * migrate api keys from json to db at init * add info on account setup * update docstore missing fields --------- Co-authored-by: chungyau97 <chungyau97@gmail.com>
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@@ -71,7 +71,7 @@ class OpenApiChain_Chains implements INode {
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async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string | object> {
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const chain = await initChain(nodeData, options)
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const loggerHandler = new ConsoleCallbackHandler(options.logger)
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const loggerHandler = new ConsoleCallbackHandler(options.logger, options?.orgId)
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const callbacks = await additionalCallbacks(nodeData, options)
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const moderations = nodeData.inputs?.inputModeration as Moderation[]
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const shouldStreamResponse = options.shouldStreamResponse
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@@ -114,8 +114,9 @@ const initChain = async (nodeData: INodeData, options: ICommonObject) => {
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} else {
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if (yamlFileBase64.startsWith('FILE-STORAGE::')) {
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const file = yamlFileBase64.replace('FILE-STORAGE::', '')
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const orgId = options.orgId
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const chatflowid = options.chatflowid
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const fileData = await getFileFromStorage(file, chatflowid)
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const fileData = await getFileFromStorage(file, orgId, chatflowid)
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yamlString = fileData.toString()
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} else {
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const splitDataURI = yamlFileBase64.split(',')
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@@ -128,7 +129,7 @@ const initChain = async (nodeData: INodeData, options: ICommonObject) => {
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return await createOpenAPIChain(yamlString, {
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llm: model,
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headers: typeof headers === 'object' ? headers : headers ? JSON.parse(headers) : {},
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verbose: process.env.DEBUG === 'true'
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verbose: process.env.DEBUG === 'true' ? true : false
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})
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}
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