First you need to start, migrate and seed the db :
```bash
$ yarn init-project
```
you can then start the server:
```bash
# development
$ yarn start
# watch mode
$ yarn start:dev
```
## Test
To run unit tests:
```bash
# unit tests
$ yarn test
# e2e tests
$ yarn test:e2e
# test coverage
$ yarn test:cov
```
## Database Migration
When the data schema is updated, the database needs to be synchronised with the code. This is done by creating a migration with Typeorm using the following command:
```bash
migrationName=<name> yarn migration:generate
```
# Hiring Test
When working on the following exercise, in addition to answering the product need, to give particular attention to the following points:
- Readability
- Maintainability
- Unit testing
- Handling of corner cases
- Error-handling
We want to compute the Agrybalise carbonfootprint of a foodproduct (e.g.: a hamCheesePizza) that we characterize by its ingredients as shown below
```js
const hamCheesePizza = {
ingredients: [
{ name: "ham", quantity: 0.1, unit: "kg" },
{ name: "cheese", quantity: 0.15, unit: "kg" },
{ name: "tomato", quantity: 0.4, unit: "kg" },
{ name: "floor", quantity: 0.7, unit: "kg" },
{ name: "oliveOil", quantity: 0.3, unit: "kg" },
],
};
```
The calculation of the Agrybalise carbon footprint can be described as below:
- The Agrybalise carbon footprint of one ingredient is obtained by multiplying the quantity of the ingredient by the emission of a matching emission factor (same name and same unit).
- The carbon footprint of the food product is then obtained by summing the carbon footprint of all ingredients.
- If the carbon footprint of one ingredient cannot be calculated, then the carbon footprint of the whole product is set to null.
The tasks of this exercice are as follows:
1/ Implement the carbon footprint calculation of a product and persist the results in database.
2/ Implement a GET endpoint to retrieve the result.
3/ Implement a POST endpoint to trigger the calculation and the saving in the database.
