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docs(server): Update docs (#8031)

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update docs
This commit is contained in:
Aarushi
2024-09-10 10:24:54 +01:00
committed by GitHub
parent 0b919522ae
commit ebd2ecd84c
1 changed files with 19 additions and 3 deletions
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docs/content/server/setup.md
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@@ -73,6 +73,7 @@ Once you have installed Yarn and Poetry, you can run the following command to in
```bash
cd rnd/autogpt_server
cp .env.example .env
poetry install
```
@@ -90,7 +91,7 @@ Once you have installed the dependencies, you can proceed to the next step.
In order to setup the database, you need to run the following commands, in the same terminal you ran the `poetry install` command:
```sh
docker compose up postgres -d
docker compose up postgres redis -d
poetry run prisma migrate dev
```
After deploying the migration, to ensure that the database schema is correctly mapped to your codebase, allowing the application to interact with the database properly, you need to generate the Prisma database model:
@@ -101,7 +102,15 @@ poetry run prisma generate
Without running this command, the necessary Python modules (prisma.models) won't be available, leading to a `ModuleNotFoundError`.
### Running the server
### Running the server without Docker
To run the server, you can run the following commands in the same terminal you ran the `poetry install` command:
```bash
poetry run app
```
### Running the server within Docker
To run the server, you can run the following commands in the same terminal you ran the `poetry install` command:
@@ -110,7 +119,7 @@ docker compose build
docker compose up
```
In the other terminal, you can run the following command to start the frontend:
In the other terminal from autogpt_builder, you can run the following command to start the frontend:
```bash
yarn dev
@@ -119,3 +128,10 @@ yarn dev
### Checking if the server is running
You can check if the server is running by visiting [http://localhost:3000](http://localhost:3000) in your browser.
### Notes:
By default the daemons for different services run on the following ports:
Execution Manager Daemon: 8002
Execution Scheduler Daemon: 8003
Rest Server Daemon: 8004