![]() LOG_TO_STDOUT = os.environ.get('LOG_TO_STDOUT')įrom flask import Flask, request, current_appįrom flask_appbuilder import AppBuilder, SQLAįrom logging.handlers import SMTPHandler, RotatingFileHandlerĪppbuilder = AppBuilder(app, db.session, indexview=MyIndexView, base_template='mybase.html')įile_handler = RotatingFileHandler('logs/microblog.log',įile_tFormatter(logging. IMG_UPLOAD_FOLDER = basedir + "/app/static/uploads/" UPLOAD_FOLDER = basedir + "/app/static/uploads/" #SQLALCHEMY_DATABASE_URI = "sqlite:///" + os.path.join(basedir, "app.db") SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL') or "sqlite:///" + os.path.join(basedir, "app.db") Load_dotenv(os.path.join(basedir, '.env')) For the puposes of this article that connection is local, and can be described as follows: engine://user:passwordhost/dbname engine -> postgresql user -> postgres (see owner field in previous screenshot) password -> password (my db password is the string, password) host -> localhost (because we are. T16:01:19.940169+00:00 heroku: Process exited with status 3īasedir = os.path.abspath(os.path.dirname(_file_)) The SQLALCHEMYDATABASEURI is a string describing our database connection. It provides an SQL interface compliant with the DB-API 2.0 specification described by PEP 249, and requires SQLite 3.7.15 or newer. The sqlite3 module was written by Gerhard Hring. During the Postgres installation, an operating system user named postgres was created to correspond to the postgres PostgreSQL administrative user. It’s also possible to prototype an application using SQLite and then port the code to a larger database such as PostgreSQL or Oracle. Note that some of those cannot be modified after the engine was created so make sure to configure as early as possible and to not modify them at runtime. Step 1 Creating the PostgreSQL Database and User In this step, you’ll create a database called flaskdb and a database user called sammy for your Flask application. Command line support allows to script, automate and schedule the conversion process. The program has high performance due to direct connection to source and destination databases (it does not use ODBC or any other middleware software). Flask-SQLAlchemy loads these values from your main Flask config which can be populated in various ways. SQLite to PostgreSQL converter is a tool to migrate SQLite databases to PostgreSQL or Heroku. T16:01:19.853253+00:00 app: Shutting down: Master Configuration The following configuration values exist for Flask-SQLAlchemy. Was the direct cause of the following exception: Now when I deploy to Heroku I get an error. I changed my DATABASE_URI to: SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL') or "sqlite:///" + os.path.join(basedir, "app.db") Unlike SQLite which will create a file for the database if it doesn't exist, with PostgreSQL you need to create the database on the server before using it. I added postgresql to Heroku, and verified the url existed by running os.environ.get('DATABASE_URL') in the Heroku Python terminal. But because of Heroku's ephemeral file system I must change my db from sqlite to postgresql. I deployed it to Heroku successfully with no errors. Originally my DATABASE_URI in my config file was as follows: SQLALCHEMY_DATABASE_URI = "sqlite:///" + os.path.join(basedir, "app.db") I set up my flask application using a SQL Lite database for local development. The database operations are made available through the Flask command-line interface. Sqlite3 results.sqlite3 < results_dump.My flask app deployed with Heroku crashes when I change the database to postgresql from sqllite. API Reference Quick search Flask-Migrate Flask-Migrateis an extension that handles SQLAlchemy database migrations for Flask applications using Alembic. PGPASSWORD="PASSWORD" /usr/bin/pg_dump -file "results_dump.sql" -host "" -username "username" -no-password -verbose -format=p -create -clean -disable-dollar-quoting -inserts -column-inserts -table "public.$ " In case one needs a more automatized solution, here's a head start: #!/bin/bash
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