Chore/fresh start (#19)

* remove django implementation
* cleanup unwanted packages; update poetry and npm
* remove old scripts
* changelog; readme; fix AWS service name;
* sync versions to 0.2.0; configure setup.cfg; add import test; fix pyproject.toml;

Author: chrisbc

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.1.3
+current_version = 0.2.0
 commit = True
 tag = False
 
@@ -11,6 +11,6 @@ replace = version = "{new_version}"
 search = "version": "{current_version}",
 replace = "version": "{new_version}",
 
-[bumpversion:file:nzshm_model_graphql_api/__init__.py]
+[bumpversion:file:nshm_model_graphql_api/__init__.py]
 search = __version__ = "{current_version}"
 replace = __version__ = "{new_version}"

CHANGELOG.md

@@ -1,5 +1,10 @@
 # Changelog
 
+
+## [0.2.0] 2024-05-30
+ - Complete reset, no more django
+ - all previous code is mothballed
+
 ## [0.1.3] - 2023-09-04
 ## Added
  - new about and version resolvers

README.md

@@ -1,68 +1,27 @@
-ref: https://docs.graphene-python.org/projects/django/en/latest/tutorial-relay/
-1
 
-## the Sqlite3 on lambda issue
+# nshm-model-graphql-api
 
-This project is a good candidate for using a sqlite3 database, especially in the exploratory, POC stages. 
+A GRAPHQL API for the nzshm-model libary .
 
-But we had to solve some compatablity issues to get this working on AWS lambda . [See this guide](./SQLITE_CUSTOM_LAMBDA_BUILD.md) for more info.
+Using Flask with Serverless framework to operate as a AWS Lambda API.
 
-## Some Useful commands
-
-### build an ERM model
-requires graphviz libraries installed `sudo apt install graphviz`
-
-```
-poetry run python manage.py graph_models -o nshm_model.png nshm pipeline
-```
-
-### Load data using djanog-extension helpers
+The graphql API documentation is served by default from the service root.
 
-```
-# build the script
- poetry run python manage.py dumpscript nshm.OpenquakeHazardTask >scripts/nshm_openquake_hazard_task.py
-# edit then run script ...
- poetry run python manage.py runscript scripts.nshm_openquake_hazard_task
-```
 
-### Dump/Load data to json
+## Getting started
 
 ```
-poetry run python manage.py dumpdata nshm.OpenquakeHazardTask -o pipeline/fixtures/oht.json --indent=2
-poetry run python manage.py loaddata pipeline/fixtures/oht.json
+poetry install
+npm install --save serverless
+npm install --save serverless-python-requirements
+npm install --save serverless-wsgi
+npm install --save serverless-plugin-warmup
 ```
 
-### update static files
-
-These are just the static components for admin and graphiql
-
-```
-poetry run python manage.py collectstatic -c
-```
-
-### run server options
-
-```
-poetry run python manage.py runserver
-poetry run python manage.py runserver_plus
-```
+## Some Useful commands
 
 ```
 poetry shell
 npx sls wsgi serve
 ```
 
-### AWS OpenSearch integration
-
-Alert we use [email protected]:daily-science/django-elasticsearch-dsl.git fork for now. This should be PR'd onto the main project.
-
-This project now has ES settings and uses the above to maintain indexes as the django SQL db is maintained. 
-
-You can also maintain the indexes via new manage.py commaneds e.g:
-
-```
-DEBUG=1 poetry run python manage.py search_index --create
-DEBUG=1 poetry run python manage.py search_index --populate
-DEBUG=1 poetry run python manage.py search_index --rebuild
-DEBug=1 poetry run python manage.py search_index --help
-```