Contains projects associated to the development of modeling products
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2024-04-19 18:38:16 +01:00
.github/workflows added aws credentials to unit test github workflow 2023-11-17 14:12:55 +00:00
.idea creating new aggregations for front end 2024-04-15 23:41:24 +01:00
backend restructured output of heating and heating control recommendations 2024-04-19 18:38:16 +01:00
datatypes completed build of new demo portfolio - some fixed required still 2023-11-20 14:42:16 +00:00
etl Added boiler upgrade recommendation 2024-04-19 13:54:04 +01:00
infrastructure/terraform upgrade db instance version 2024-04-15 14:05:36 +01:00
model_data/requirements Almost deleted model data 2023-10-05 15:09:50 +01:00
recommendations restructured output of heating and heating control recommendations 2024-04-19 18:38:16 +01:00
utils moed reading csv function 2024-03-28 17:38:52 +00:00
.coveragerc fixed unit tests 2023-10-05 16:04:12 +01:00
.dockerignore Adding instructions to run docker locally 2023-08-24 13:34:14 +01:00
.gitignore fixed merge conflict with refactor 2024-01-16 16:57:45 +00:00
__init__.py added checking for directory before creation and made some minor style changes 2023-08-25 15:21:17 +01:00
BaseUtility.py Added booleans to clean missings 2024-01-24 21:21:01 +00:00
input_property_list.csv implemented property age band cleaning 2023-10-05 18:20:52 +01:00
keyzy_pilot.csv initial setup 2023-12-06 10:36:46 +00:00
package-lock.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
package.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
pytest.ini fixed unit tests 2023-10-05 16:04:12 +01:00
README.md Updated lamdba's dockerfile and serverless script to try and build the lambda from the docker image in ecr 2023-08-24 10:20:23 +01:00
run_lambda_local.sh debugging local lambda run and updating the sap point checking condition 2023-09-13 18:47:12 +01:00
serverless.yml giving lambda permissions to PREDICTIONS_BUCKET and DATA_BUCKET 2023-09-13 10:29:32 +01:00

Model Repository

This repository contains the code pertaining to the development of the data science and machine learning products being utilised by Hestia.

The different folders in this repository relate to services that can be used independently, or can be imported and used as part of a larger application

Folders

backend/

This folder contains the code for the fastapi backend service, which provides an interface to much of the functionality in this repository, for the frontend

model_data/

This folder contains related to the reading and preparation of assessment model data, including pulling out epc attributes

Testing

All tests can be run, against the configuration in pytest.ini running

pytest

This will run the complete panel of tests and report on coverage in the locations specified by the pytest.ini file.

To run tests in a specific service, e.g. inside of model_data, simply run

pytest --cov-config=model_data/.coveragerc --cov=model_data

This will produce the test results and coverage reports