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Ssh into the machine we have the application to be analyzed.

gcloud compute ssh <machine_name> - tunnel-through-iap

Create a directory m4a and cd into it.

mkdir m4a && cd m4a

Download the latest version of the mfit assessment tool.

curl -O "https://mfit-release.storage.googleapis.com/$(curl -s https://mfit-release.storage.googleapis.com/latest)/mfit"

Make it executable.

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# python2 <script> gs://<path_to_src_pdf> gs://<dest_bucket>/

# Converting one text file to JSONL format
# File name: src.pdf | GCS path for file: gs://test-bucket-for-automl-nlp/src.pdf
python2 input_helper_v2.py gs://test-bucket-for-automl-nlp/src.pdf gs://test-bucket-for-automl-nlp/

# Converting multiple text files with same extension to JSONL format
# File extension: *.pdf | GCS path for files: gs://test-bucket-for-automl-nlp/*.pdf
python2 input_helper_v2.py gs://test-bucket-for-automl-nlp/*.pdf gs://test-bucket-for-automl-nlp/
    

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#Project details

from google.cloud import monitoring_v3

import time

client = monitoring_v3.MetricServiceClient()
project = 'project_id'  #insert your project id
project_name = f"projects/{project}"

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#Project details

from google.cloud import monitoring_v3

import matplotlib.pyplot as plt # matplotlib imports needed only in case you want to plot the `points`
import matplotlib.dates as mdates

import time

client = monitoring_v3.MetricServiceClient()

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from google.cloud import monitoring_v3

import time

client = monitoring_v3.MetricServiceClient()
project_id = 'your-project-id' #TODO: Replace with yours
project_name = f"projects/{project_id}"

series = monitoring_v3.TimeSeries()
series.metric.type = "custom.googleapis.com/my_metric"

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from google.api import label_pb2 as ga_label
from google.api import metric_pb2 as ga_metric
from google.cloud import monitoring_v3

client = monitoring_v3.MetricServiceClient()
project_name = f"projects/arpanas-project"
descriptor = ga_metric.MetricDescriptor()
descriptor.type = "custom.googleapis.com/my_metric"
descriptor.metric_kind = ga_metric.MetricDescriptor.MetricKind.GAUGE
descriptor.value_type = ga_metric.MetricDescriptor.ValueType.DOUBLE

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Table of Contents

• 0.1. References
  • 0.2. Other cheatsheets
  • 0.3. Manage multiple gcloud config configurations
    • 0.3.1. Switch gcloud context with gcloud config
  • 0.4. Auth
• 0.5. info