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pyc files, so the source code will not be accessible. Most likely the plugin I ship will contain. What I'm looking for is people on different systems, using Postgres for various projects or reasons, that are willing to contribute bug reports and help me iron out the details of the plugin.įinally, I haven't decided whether or not to open source the plugin, or to sell it commercially, so what I don't think I'm looking for at the time is another developer. I have some plans for a few more commands, but before I get there, I'd really love to get the core functionality working great, and so I'd like to have a small group of people that would be willing to start testing it out! Obviously the plugin is pretty complicated, and I'm still working out a lot of the features and details.Ĭurrently, there are 3 commands (the gifs are the commands in action). I created a package that allows you to connect to a Postgresql database, execute sql on it, and view the results in Sublime. It is critical to remember that the Dockerfile name cannot have a file extension after it when executing the command to open an instance of Dockerfile in the Sublime text editor.Hey you guys! I've been working on a Sublime Text Package for a couple months now and the time has come for beta testing.
#Connect postgres to python text editor how to#
This second part of the series covered how to use Docker Compose and Dockerfile to customize a PostgreSQL-Python image and use the PythonPIP package manager to install the psycopg2 Postgres adapter to make API calls to a Postgres database in Python. This was part two of a tutorial series explaining how to build and run a Python and PostgreSQL docker container. Now type exit into the terminal to leave the container and then input docker-compose down from the root directory of the project to shut down the container. Assuming Python and the psycopg2 adapter are working properly on the host machine, those records should be accessible outside of the container by changing the script’s host to localhostas shown in the following screenshot: Navigate to the /var/The Python code should return the PostgreSQL records stored in the container’s volume. Once inside of the container, input python3 -V and psql -V to verify that both Python 3 and Postgres are working properly, as shown here:Įxecute a pycopg2 Python script in the container Once the ID is obtained, use the first three digits of the alpha-numeric ID to execute the following interactive TTY session with the running container: However, the container ID must first be obtained by using docker ps. Open a new terminal window, or a new tab in the terminal, and use the below docker exec command to connect to the container interactively as explained in part one of this tutorial series. The container should run as a foreground process in the terminal window after it has finished building and installing Python. The results should resemble the following: # close the cursor object to avoid memory leaks # enumerate() over the PostgreSQL records # execute an SQL statement using the psycopg2 cursor objectĬursor. # declare a cursor object from the connection # import the connect library from psycopg2 Create a Docker-Compose file for the Postgres containerĬhange into root of the PostgreSQL-Docker project directory and create a new Docker compose file.įollowing is an example of how to create a new file in a UNIX-based terminal using the touch command: Docker-Compose file for PostgresĪ Docker Compose file will be used to set up the container and specify such things as the bind-mounted volumes and port mapping. While the examples in this tutorial use the Sublime IDE, other editors like Atom IDE or Visual Studio Code that uses the code command will work as well.
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IDE for Python and YAMLĬonfirm access to a text editor or IDE that has both YAML and Python syntax as well as indentation support. If the steps in part one of this series have not yet been completed, a table must first be inserted and records added into the Docker container’s bind-mounted volume. This was done in order to create a PostgreSQL table and sample records in a bind-mounted volume for persistent data. Part one of this series created a Docker container with docker run and then entered into the container using the docker exec -it command. Note that the Docker engine version number must be compatible with the Docker Compose version number to avoid errors.