40 lines
1.1 KiB
Bash
Executable File
40 lines
1.1 KiB
Bash
Executable File
#!/bin/sh
|
|
set -e
|
|
|
|
pip install --quiet mlflow psycopg2-binary
|
|
|
|
# Ensure the mlflow database exists before starting the server.
|
|
# docker-entrypoint-initdb.d scripts only run on first init, so this
|
|
# handles existing postgres volumes where the database was never created.
|
|
python -c "
|
|
import psycopg2
|
|
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
|
|
|
|
conn = psycopg2.connect(
|
|
host='postgres',
|
|
port=5432,
|
|
user='${POSTGRES_USER}',
|
|
password='${POSTGRES_PASSWORD}',
|
|
dbname='${POSTGRES_DB}',
|
|
)
|
|
conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
|
|
cur = conn.cursor()
|
|
cur.execute(\"SELECT 1 FROM pg_database WHERE datname = 'mlflow'\")
|
|
if not cur.fetchone():
|
|
cur.execute('CREATE DATABASE mlflow')
|
|
print('Created mlflow database')
|
|
else:
|
|
print('mlflow database already exists')
|
|
conn.close()
|
|
"
|
|
|
|
exec mlflow server \
|
|
--host=0.0.0.0 \
|
|
--port=5000 \
|
|
--backend-store-uri="postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres:5432/mlflow" \
|
|
--serve-artifacts \
|
|
--artifacts-destination=/mlflow/artifacts \
|
|
--default-artifact-root=mlflow-artifacts:/ \
|
|
--allowed-hosts="*" \
|
|
--cors-allowed-origins="*"
|