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import hashlib | |
import sys | |
from module import download_model_locally | |
def check_model_md5(model_name, api_production_artifact_md5): | |
"""Ref: https://stackoverflow.com/a/21565932/""" | |
"""This function will download the model """ | |
download_model_locally_to(model_name) | |
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apiVersion: v1 | |
kind: Pod | |
metadata: | |
labels: | |
test: liveness-ml-application | |
name: liveness-ml-application | |
spec: | |
containers: | |
- name: ml_application | |
image: internal_registry/ml_application |
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apiVersion: v1 | |
kind: Pod | |
metadata: | |
labels: | |
test: liveness-ml-application | |
name: liveness-ml-application | |
spec: | |
containers: | |
- name: ml_application | |
image: internal_registry/ml_application |
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docker build -f dags/docker_job/Dockerfile -t docker_image_task . && \ | |
docker-compose up -d |
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docker-compose up airflow-init |
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from datetime import datetime, timedelta | |
from airflow import DAG | |
from airflow.operators.bash_operator import BashOperator | |
from airflow.operators.docker_operator import DockerOperator | |
from airflow.operators.python_operator import BranchPythonOperator | |
from airflow.operators.dummy_operator import DummyOperator | |
default_args = { | |
'owner' : 'airflow', | |
'description' : 'Use of the DockerOperator', |
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from datetime import datetime, timedelta | |
from airflow import DAG | |
from airflow.operators.bash_operator import BashOperator | |
from airflow.operators.docker_operator import DockerOperator | |
from airflow.operators.python_operator import BranchPythonOperator | |
from airflow.operators.dummy_operator import DummyOperator | |
default_args = { | |
'owner' : 'airflow', | |
'description' : 'Use of the DockerOperator', |
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import pandas as pd | |
import fasttext | |
df = pd.read_csv('B2W-Reviews01.csv', sep=';') | |
df['label'] = '__label__' + df['site_category_lv1'] | |
df = df.sample(n=10000) | |
df[['label', 'review_text']].to_csv('gfjakhsdgkfjhgsd.txt', index=None, header=None) |
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[core] | |
# The folder where your airflow pipelines live, most likely a | |
# subfolder in a code repository | |
# This path must be absolute | |
dags_folder = /usr/local/airflow/dags | |
# The folder where airflow should store its log files | |
# This path must be absolute | |
base_log_folder = /usr/local/airflow/logs |
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# | |
# Licensed to the Apache Software Foundation (ASF) under one | |
# or more contributor license agreements. See the NOTICE file | |
# distributed with this work for additional information | |
# regarding copyright ownership. The ASF licenses this file | |
# to you under the Apache License, Version 2.0 (the | |
# "License"); you may not use this file except in compliance | |
# with the License. You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 |