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Restructuring the Repo to make it clear the difference between classic autogpt and the autogpt platform: * Move the "classic" projects `autogpt`, `forge`, `frontend`, and `benchmark` into a `classic` folder * Also rename `autogpt` to `original_autogpt` for absolute clarity * Rename `rnd/` to `autogpt_platform/` * `rnd/autogpt_builder` -> `autogpt_platform/frontend` * `rnd/autogpt_server` -> `autogpt_platform/backend` * Adjust any paths accordingly
76 lines
1.5 KiB
Markdown
76 lines
1.5 KiB
Markdown
# AutoGPT Agent Server Advanced set up
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This guide walks you through a dockerized set up, with an external DB (postgres)
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## Setup
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We use the Poetry to manage the dependencies. To set up the project, follow these steps inside this directory:
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0. Install Poetry
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```sh
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pip install poetry
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```
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1. Configure Poetry to use .venv in your project directory
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```sh
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poetry config virtualenvs.in-project true
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```
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2. Enter the poetry shell
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```sh
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poetry shell
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```
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3. Install dependencies
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```sh
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poetry install
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```
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4. Copy .env.example to .env
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```sh
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cp .env.example .env
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```
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5. Generate the Prisma client
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```sh
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poetry run prisma generate --schema postgres/schema.prisma
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```
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> In case Prisma generates the client for the global Python installation instead of the virtual environment, the current mitigation is to just uninstall the global Prisma package:
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>
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> ```sh
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> pip uninstall prisma
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> ```
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>
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> Then run the generation again. The path *should* look something like this:
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> `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
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6. Run the postgres database from the /rnd folder
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```sh
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cd autogpt_platform/
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docker compose up -d
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```
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7. Run the migrations (from the backend folder)
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```sh
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cd ../backend
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prisma migrate dev --schema postgres/schema.prisma
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```
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## Running The Server
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### Starting the server directly
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Run the following command:
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```sh
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poetry run app
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```
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