Mengotomatiskan Pengambilan Data Berskala Besar dengan Document AI: Challenge Lab Ulasan

Great

Weeradate K. · Diulas 11 hari lalu

Abhinandan K. · Diulas 11 hari lalu

Sithu K. · Diulas 11 hari lalu

Nisit P. · Diulas 11 hari lalu

Nisit P. · Diulas 11 hari lalu

Nisit P. · Diulas 11 hari lalu

3474_WiraYeYint G. · Diulas 11 hari lalu

Nachapat I. · Diulas 11 hari lalu

Deepnita M. · Diulas 11 hari lalu

Deepnita M. · Diulas 11 hari lalu

Chanatda K. · Diulas 12 hari lalu

Chanatda K. · Diulas 12 hari lalu

Pratiksha T. · Diulas 12 hari lalu

Chandu V. · Diulas 12 hari lalu

Alok s. · Diulas 12 hari lalu

Wisit S. · Diulas 12 hari lalu

Bodin C. · Diulas 12 hari lalu

Nice.

Thawon J. · Diulas 12 hari lalu

Parkpoom L. · Diulas 12 hari lalu

Tanaphol R. · Diulas 13 hari lalu

Supawit S. · Diulas 13 hari lalu

Titichaya V. · Diulas 13 hari lalu

the scripts is using cloud run function gen1 but the instruction said we need to deploy gen2 so the code will not work

Prachya K. · Diulas 13 hari lalu

siddhi k. · Diulas 13 hari lalu

To the Google Cloud Skills Boost / Lab Content Team, I am writing to report that Task 4 and Task 5 of this lab are fundamentally broken and desperately need an immediate update. The provided instructions contain multiple critical errors that force students to spend hours debugging the lab's poorly maintained code rather than learning the actual GCP concepts. Here is a list of the critical bugs in the current lab instructions: Outdated Deployment Flags: The instructions use --trigger-resource=gs://... which is invalid for Cloud Run Functions Gen 2. It must be updated to --trigger-bucket. Missing Service Account (404 Error): The deploy command includes --service-account=${PROJECT_ID}@appspot.gserviceaccount.com, but this default App Engine SA is NOT provisioned in the lab environment, causing instant deployment failure. Wrong Bucket Name (403 Error): The deploy command references a bucket ending in -input-in, but the actual bucket we are instructed to create earlier ends in -input-invoices. This typo causes confusing Eventarc permission errors. Code Crash on Startup (Healthcheck Failed): The main.py code tries to parse a TIMEOUT environment variable (int(os.environ.get('TIMEOUT'))), but the provided .env.yaml file does not include it. This causes a NoneType error that crashes the container during the initial startup. Hardcoded Project ID (gRPC Permission Denied): The main.py file has the string YourGCPProjectID hardcoded instead of dynamically pulling the student's project ID. This causes a gRPC Permission Denied error when the function tries to write data to BigQuery. I had to manually run a sed command to fix your provided source code. Flawed File Copy Command: In Task 5, the command gsutil -m cp -r gs://cloud-training/gsp367/* ... copies Python scripts and YAML files into the input bucket alongside the PDFs. This immediately crashes the Document AI processor, which expects only document files. As a Data Engineer trying to upskill, it is extremely frustrating to waste time troubleshooting outdated lab environments and untested code. Please fix these issues so future learners don't have to face the same terrible experience. Regards, Benz

Thanachit S. · Diulas 13 hari lalu