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>

packages/components/nodes/agents/CSVAgent/CSVAgent.ts

@@ -97,7 +97,7 @@ class CSV_Agents implements INode {
             }
         }
 
-        const loggerHandler = new ConsoleCallbackHandler(options.logger)
+        const loggerHandler = new ConsoleCallbackHandler(options.logger, options?.orgId)
         const shouldStreamResponse = options.shouldStreamResponse
         const sseStreamer: IServerSideEventStreamer = options.sseStreamer as IServerSideEventStreamer
         const chatId = options.chatId
@@ -114,11 +114,12 @@ class CSV_Agents implements INode {
             } else {
                 files = [fileName]
             }
+            const orgId = options.orgId
             const chatflowid = options.chatflowid
 
             for (const file of files) {
                 if (!file) continue
-                const fileData = await getFileFromStorage(file, chatflowid)
+                const fileData = await getFileFromStorage(file, orgId, chatflowid)
                 base64String += fileData.toString('base64')
             }
         } else {
@@ -170,7 +171,7 @@ json.dumps(my_dict)`
             const chain = new LLMChain({
                 llm: model,
                 prompt: PromptTemplate.fromTemplate(systemPrompt),
-                verbose: process.env.DEBUG === 'true'
+                verbose: process.env.DEBUG === 'true' ? true : false
             })
             const inputs = {
                 dict: dataframeColDict,
@@ -201,7 +202,7 @@ json.dumps(my_dict)`
                 prompt: PromptTemplate.fromTemplate(
                     systemMessagePrompt ? `${systemMessagePrompt}\n${finalSystemPrompt}` : finalSystemPrompt
                 ),
-                verbose: process.env.DEBUG === 'true'
+                verbose: process.env.DEBUG === 'true' ? true : false
             })
             const inputs = {
                 question: input,