KellenJohn

import pandas as pd
from google.api_core.exceptions import GoogleAPICallError, BadRequest, NotFound
from google.cloud import bigquery, bigquery_storage, storage

class BQDataFetcher:
    def __init__(self, project, dataset, table):
        self.project = project
        self.dataset = dataset
        self.table = table
        self.bqclient = bigquery.Client(project=project)

KellenJohn

@component(
    base_image="gcr.io/deeplearning-platform-release/tf2-cpu.2-3:latest",
    output_component_file="tabular_eval_component.yaml",
    packages_to_install=["google-cloud-aiplatform"],
)
def classification_model_eval_metrics(
    project: str,
    location: str,  # "us-central1",
    api_endpoint: str,  # "us-central1-aiplatform.googleapis.com",
    thresholds_dict_str: str,

KellenJohn

@pipeline(name="automl-tab-beans-training-v2",
                  pipeline_root=PIPELINE_ROOT)
def pipeline(
    bq_source: str = "bq://aju-dev-demos.beans.beans1",
    display_name: str = DISPLAY_NAME,
    project: str = PROJECT_ID,
    gcp_region: str = "us-central1",
    api_endpoint: str = "us-central1-aiplatform.googleapis.com",
    thresholds_dict_str: str = '{"auRoc": 0.95}',
):

KellenJohn

import kfp
from kfp import dsl
import mlflow

# 準備要登記實驗結果的 function 讓 DA 可以照 DA 主管想要的模型管理資訊放入
def register_experiment_results_in_mlflow(experiment_name, metric_name, metric_value):
   # Initialize MLflow
   mlflow.start_run()
   
   # Set the experiment name

KellenJohn

def hello_world(request):
    """Responds to any HTTP request.
    Args:
        request (flask.Request): HTTP request object.
    Returns:
        The response text or any set of values that can be turned into a
        Response object using
        `make_response <http://flask.pocoo.org/docs/1.0/api/#flask.Flask.make_response>`.
    """
    request_json = request.get_json()

KellenJohn

#!/bin/bash
# method 1
gcloud functions deploy demo --entry-point hello_world --runtime python39 --trigger-http --allow-unauthenticated

# method 2
gcloud functions deploy demo2 \
 --entry-point hello_world \
 --runtime python39 \
 --trigger-http \
 --allow-unauthenticated \

KellenJohn

steps:
  # 檢查代碼，安裝必要的工具
  - name: 'gcr.io/cloud-builders/gcloud'
    entrypoint: 'bash'
    args:
      - '-c'
      - |
        gcloud components install beta

  # 部署 Cloud Function

KellenJohn

Composition and Inheritance

重點說明

• 繼承很有用，但是還有一種能實現相同效果的方法，就是使用其他類和模組，而不是依賴隱式繼承。
• 因為物件的三大特性都涉及編寫新的代碼來替換或更改函數的功能
  • 但這可以很容易通過調用 class 模組中的函數來接著使用
  • a.k.a 不一定要父子 is-a 關係，而是使用 has-a 關係，其中 Child（has-a） Other 來完成子類的工作
• 何時使用組合與繼承

KellenJohn

#!/usr/bin/python2

'''
SYNOPSIS:

$ python speedup.py -f FILE
or
$ python speedup.py -d DIR
'''

KellenJohn

import datetime

# 2012-12-15 10:14:51.898000
print datetime.datetime.utcnow()

# The now differs from utcnow as expected
# otherwise they work the same way:
# 2012-12-15 11:15:09.205000
print datetime.datetime.now()