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@@ -38,7 +38,7 @@ Copy the contents and use that as password / secret key. And run that again to g
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## Input variables
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The generator (Cookiecutter) will ask you for data on a long list of fields which will be used to populate variables across the project, customising it for you out the box. You might want to have these on hand before generating the project.
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The generator (Cookiecutter) will ask you for data on a long list of fields which will be used to populate variables across the project, customising it for you out the box. **You might want to have these on hand before generating the project.**
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The input variables, with their default values (some auto generated) are:
Copy file name to clipboardExpand all lines: docs/getting-started.md
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@@ -45,7 +45,7 @@ This FastAPI, React, MongoDB repo will generate a complete web application stack
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## Who is it for?
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This project is a rock-solid foundation on which to build complex web applications which need parallel processing, scheduled event management, and a range of relational and graph database support. The base deployment requires about 2Gb of memory to run.
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This project is a rock-solid foundation on which to build complex web applications which need parallel processing, scheduled event management, leveraging a NoSQL Datastore (MongoDB). The base deployment requires about 2Gb of memory to run.
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This is **not** a light-weight system to deploy a blog or simple content-management-system.
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### Setting up a Mongo Connection
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A Mongo connection can be set up one of two ways: At the cookiecutter generation step, provide the `mongodb_uri`, and `mongo_database` to inform the generator on how to connect to an Atlas cloud instance. Additionally, in the generated file, you can manually set the .env.MONGO_DATABASE_URIand it will connect to the Atlas cluster made locally.
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A Mongo connection can be set up one of two ways: At the cookiecutter generation step, provide the `mongodb_uri`, and `mongo_database` to inform the generator on how to connect to an Atlas cloud instance. Additionally, in the generated file, you can manually leave the `.env.MONGO_DATABASE_URI` as `mongodb`and it will automatically connect to the running mongodb docker instance.
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Additionally, developers could configure a local mongo instance, but it would either have to be spun up in docker, or generated separately and also allow for non-localhost connections to be made.
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Whilst the local instance is available, it is best advised to create or [connect to a MongoDB Atlas Cluster](https://www.mongodb.com/docs/atlas/tutorial/connect-to-your-cluster/).
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### Deploying for production
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## Release Notes
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### 0.1.0
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### 2023.11.10
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- Experimental release of FARM-stack generator app
Copy file name to clipboardExpand all lines: {{cookiecutter.project_slug}}/README.md
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**The backend and celery containers will fail to load if a proper Mongo URI is not configured**.
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Please ensure that either
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-`MONGO_(HOST|USER|PASSWORD|DATABASE)` were properly set in the initial MongoDB setup phase
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-`MONGO_DATABASE_URI` has been set in `{{ cookiecutter.project_slug }}/.env`
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-`MONGO_DATABASE` is properly set in the initial Cookiecutter setup phase.
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-`MONGO_DATABASE_URI` has been set in `{{ cookiecutter.project_slug }}/.env`; leaving the initial value as `mongodb` will establish a connection to the docker instance of mongo created.
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To learn more about how to generate a MongoDB URI please look at the docs on [Connecting to your MongoDB Atlas Clutser](https://www.mongodb.com/docs/atlas/tutorial/connect-to-your-cluster/)
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### Setting Up MongoDB Locally
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**Currently, the FARM-stack generator does not provide a running `mongod` within the docker container**
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The docker-compose file has a simple setup for a mongodb server to run in a docker container. It'll be exposed on port `27017` and reachable by setting the MONGO_DATABASE_URI to `mongodb`
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If running a local instance of MongoDB outside of a docker container that you want your backend to communicate with, you will need to set up [port forwarding in your docker config](https://docs.docker.com/desktop/networking/#use-cases-and-workarounds). Since the intention of this generator is to work with scalable production environments very quickly, providing a local container of MongoDB was not part of the initial charter in its creation.**We do strongly advise you connect to an Atlas cluster**
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Since the intention of this generator is to work with scalable production environments very quickly, we provide a container of MongoDB, but**We do strongly advise you connect to an Atlas cluster**
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To see how to use MongoDB with Docker, read through this article on [set-up steps](https://www.mongodb.com/compatibility/docker)
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If you need to add more environments, for example, you could imagine using a client-approved `preprod` branch, you can just copy the configurations in `actions.yml` for `stag` and rename the corresponding variables. The Docker Compose file and environment variables are configured to support as many environments as you need, so that you only need to modify `actions.yml` (or whichever CI system configuration you are using).
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Support for the deployment to the desired host domain has been commented out as the functionality has not been tested by the MongoDB team. Feel free to uncomment and follow instructions for deployment steps at your own discretion.
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## Docker Compose files and env vars
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There is a main `docker-compose.yml` file with all the configurations that apply to the whole stack, it is used automatically by `docker-compose`.
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**The backend and celery containers will fail to load if a proper Mongo URI is not configured**.
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Please ensure that either
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-`MONGO_(HOST|USER|PASSWORD|DATABASE)` were properly set in the initial MongoDB setup phase
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-`MONGO_DATABASE_URI` has been set in `{{ cookiecutter.project_slug }}/.env`
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-`MONGO_DATABASE` is properly set in the initial Cookiecutter setup phase.
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-`MONGO_DATABASE_URI` has been set in `{{ cookiecutter.project_slug }}/.env`; leaving the initial value as `mongodb` will establish a connection to the docker instance of mongo created.
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To learn more about how to generate a MongoDB URI please look at the docs on [Connecting to your MongoDB Atlas Clutser](https://www.mongodb.com/docs/atlas/tutorial/connect-to-your-cluster/)
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### Setting Up MongoDB Locally
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**Currently, the FARM-stack generator does not provide a running `mongod` within the docker container**
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The docker-compose file has a simple setup for a mongodb server to run in a docker container. It'll be exposed on port `27017` and reachable by setting the MONGO_DATABASE_URI to `mongodb`
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If running a local instance of MongoDB outside of a docker container that you want your backend to communicate with, you will need to set up [port forwarding in your docker config](https://docs.docker.com/desktop/networking/#use-cases-and-workarounds). Since the intention of this generator is to work with scalable production environments very quickly, providing a local container of MongoDB was not part of the initial charter in its creation.**We do strongly advise you connect to an Atlas cluster**
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Since the intention of this generator is to work with scalable production environments very quickly, we provide a container of MongoDB, but**We do strongly advise you connect to an Atlas cluster**
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To see how to use MongoDB with Docker, read through this article on [set-up steps](https://www.mongodb.com/compatibility/docker)
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### General workflow
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By default, the dependencies are managed with [Hatch](https://hatch.pypa.io/latest/), go there and install it.
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