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Run the Djrango-CRM on windows using virtual environment #519

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semrade opened this issue Dec 31, 2023 · 3 comments
Open

Run the Djrango-CRM on windows using virtual environment #519

semrade opened this issue Dec 31, 2023 · 3 comments

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@semrade
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semrade commented Dec 31, 2023

Hello,
I am trying to execute the project on Windows 10 using virtual env. I am not a web developer and I need your hint to solve my issue.
this is the .env file I am using.
`

Environment variables

SECRET_KEY="mco934$@)NHUYTC%6789"
ENV_TYPE="dev"
DOMAIN_NAME=""

AWS

AWS_BUCKET_NAME=""

AWS_ACCESS_KEY_ID=""
AWS_SECRET_ACCESS_KEY=""
AWS_SES_REGION_NAME=""
AWS_SES_REGION_ENDPOINT=""

DB

DBNAME="bottlecrm"
DBUSER="postgres"
DBPASSWORD="root"
DBHOST="localhost"
DBPORT="5432"

Sentry

SENTRY_DSN=""

Celery

CELERY_BROKER_URL=""
CELERY_RESULT_BACKEND=""

Swagger

SWAGGER_ROOT_URL=""

#CACHES
MEMCACHELOCATION=""

Email

DEFAULT_FROM_EMAIL="webmaster@example.com"
ADMIN_EMAIL="admin@example.com"
when I run thepython manage.py makemigrations` I have this message error:

File "D:\30_Django-CRM\Django-CRM\venv\Lib\site-packages\psycopg2_init_.py", line 122, in connect
conn = _connect(dsn, connection_factory=connection_factory, **kwasync)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe9 in position 103: invalid continuation byte
(venv) PS D:\30_Django-CRM\Django-CRM> python manage.py makemigrations

could help me please to run the project?
I am available to answer or provide more information if needed.
thank you in advance

@semrade
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semrade commented Dec 31, 2023

I managed to run the code on my Mac OS x, and I could run the server locally.
image
on windows I don't have any idea why it doesn't work, il keep working to run the swagger and the rest ...

@Raxo96
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Raxo96 commented Jan 16, 2024

Same issue with windows here

@codecakes
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I had a similar observation about starting up the backend for contributing and have provided an approach here:
#523

If you have a container engine like docker, rancher or podman, then starting up locally should be just as easy as defining the local .env and spin up the images using:
docker compose -f docker/docker-compose.yml up

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3 participants