7ffcf79bf6
* fix(trainer): Updated requirements * fix(recommendations): Downgraded pydantic to 1.10.12 and mlflow to 2.5 * Updated dag for updating database with feedbacks, changed feedback file from ml_service/core into common core * fix(recommendations): fixed database update and added more features into DB * Updated modules in recommendations trainer and server * chore(recommendations): Updated python modules for trainer. Added script to save features from feedback sessions into ml database. * updated requirements * updated requirements
21 lines
1.1 KiB
Bash
Executable file
21 lines
1.1 KiB
Bash
Executable file
# Values setup
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find airflow/ -type f -name "*.cfg" -exec sed -i "s/{{pg_user_airflow}}/${pg_user_airflow}/g" {} \;
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find airflow/ -type f -name "*.cfg" -exec sed -i "s/{{pg_password_airflow}}/${pg_password_airflow}/g" {} \;
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find airflow/ -type f -name "*.cfg" -exec sed -i "s/{{pg_host_airflow}}/${pg_host_airflow}/g" {} \;
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find airflow/ -type f -name "*.cfg" -exec sed -i "s/{{pg_port_airflow}}/${pg_port_airflow}/g" {} \;
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find airflow/ -type f -name "*.cfg" -exec sed -i "s/{{pg_dbname_airflow}}/${pg_dbname_airflow}/g" {} \;
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find airflow/ -type f -name "*.cfg" -exec sed -i "s#{{airflow_secret_key}}#${airflow_secret_key}#g" {} \;
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export MLFLOW_TRACKING_URI=postgresql+psycopg2://${pg_user_ml}:${pg_password_ml}@${pg_host_ml}:${pg_port_ml}/${pg_dbname_ml}
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git init airflow/dags
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airflow db upgrade
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# Airflow setup
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# airflow db init
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# airflow users create \
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# --username admin \
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# --firstname admin \
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# --lastname admin \
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# --role Admin \
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# --email admin@admin.admin \
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# -p ${airflow_admin_password}
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# Run services
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airflow webserver --port 8080 & airflow scheduler & ./mlflow_server.sh
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