58 lines
1.4 KiB
YAML
58 lines
1.4 KiB
YAML
---
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# MLflow — experiment tracking and model registry
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- name: Install MLflow in cezen conda env
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become_user: cezen
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shell: |
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/opt/cezen/miniconda/bin/conda run -n cezen pip install mlflow boto3
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retries: 3
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delay: 10
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- name: Create MLflow directories
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file:
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path: "{{ item }}"
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state: directory
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owner: cezen
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group: cezen
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loop:
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- /opt/cezen/data/mlflow
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- /opt/cezen/data/mlflow/artifacts
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- name: Create MLflow systemd service
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copy:
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dest: /etc/systemd/system/mlflow.service
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content: |
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[Unit]
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Description=MLflow Tracking Server
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After=network.target minio.service
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[Service]
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Type=simple
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User=cezen
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Group=cezen
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ExecStart=/opt/cezen/miniconda/envs/cezen/bin/mlflow server \
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--host 0.0.0.0 \
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--port 5000 \
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--backend-store-uri sqlite:///opt/cezen/data/mlflow/mlflow.db \
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--default-artifact-root /opt/cezen/data/mlflow/artifacts
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Restart=always
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RestartSec=5
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Environment="PATH=/opt/cezen/miniconda/envs/cezen/bin:/usr/local/bin:/usr/bin:/bin"
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[Install]
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WantedBy=multi-user.target
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mode: "0644"
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- name: Enable and start MLflow
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systemd:
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name: mlflow
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enabled: yes
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state: started
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daemon_reload: yes
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- name: Wait for MLflow to be ready
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wait_for:
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host: localhost
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port: 5000
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timeout: 120
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ignore_errors: true
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