This is the code for the backend that supports the UI at https://github.com/plasmo-foss/no-war-pls.
Conda is a requirement for running the backend. Ensure it is installed, the from terminal, navigate to the backend project that you cloned earlier.
cd xview2-ui-backend/project
conda env create -f environment.yml
conda activate xv2_backend
pip install -r requirements
the above installed the conda requirements, activated the conda environment, then installed the fastapi requirements.
You need a file named .env containing AWS and Planet API credentials and a file named .env.access_keys. Ask the group for these files.
These files will live in the xview2-ui-backend/project folder
Once conda is setup, we can run the project. It consists of three parts. The API server, celery worker and celery flower server.
In three different terminal windows, cd to xview2-ui-backend/project, activate conda and run:
uvicorn main:app --reload --port 80 --host 0.0.0.0
celery --app=worker.celery worker --loglevel=info --logfile=logs/celery.log
celery --app=worker.celery flower --port=5555
In your browser goto:
- celery flower: http://localhost:5555/
- api docs: http://localhost/docs
currently we are running production on branch "ms_model"
+--------------------+
| |
| Send coordinates |
| |
+----------+---------+
|
| waiting_imagery
|
+----------+---------+
| |
| Get imagery |
| |
+----------+---------+
|
| waiting_assessment
|
+----------+---------+
| |
| AI assess submit |
| |
+----------+---------+
|
| running_assessment
|
+----------+---------+
| |
| AI assess complete |
| |
+----------+---------+
|
| waiting_osm_clip
|
+----------+---------+
| |
| Clip OSM |
| |
+----------+---------+
|
| done
|
+----------+---------+
| |
| Done |
| |
+--------------------+