Group 4
A web app which allows users to input relational algebra query and view equivalent PostgreSQL query and its output.
- Relevant postman collection here: https://elements.getpostman.com/redirect?entityId=17271995-fb1500f7-97c0-4fac-a890-b549a4a924d8&entityType=collection
- Details provided on the usage of the postman collection below
different-ra-query-exec-basic-load-upload-xml.mp4
pip3 install -r backend/requirements.txt
Please make sure backend is already running before running the frontend.
cd backend from root of the repo.
Setup DB: (DB to be created only once)
sudo -i -u postgres psql
create database ira;
Quit from the psql prompt by \q
Run the server locally:
python3 manage.py runserver
Simply open index.html. It is found under the frontend folder.
| iris | products | sales |
|---|---|---|
| sepal_length | ProductID | ProductID |
| sepal_width | ProductName | InvoiceNumber |
| petal_length | Price | |
| petal_width | ||
| variety |
Simply add a well formed csv file to the folder backend/ira/resources/prepopulation and run the backend app for creation and population of the tables.
To run unit tests for the backend
cd backend
python3 manage.py test
IDENT = ( LETTER )( LETTER | DIGIT | '_')*
QUERY = IDENT
QUERY = QUERY BIN_OP QUERY
QUERY = σ SELECTIONEXPR (QUERY)
QUERY = π COLUMNLIST (QUERY)
QUERY = ρ IDENT ➡ IDENT (, IDENT ➡ IDENT)* (QUERY)
SELECTIONEXPR = conditional_epxression | '(' conditional_expression ((and|or|not)(conditional_expression))* ')'
COLUMNLIST = IDENT | IDENT ',' COLUMNLIST
BIN_OP = * | - | ∪ | ∩ | ÷ | ⋈ | ⧑ | ⧒ | ⧓
Look under the resources folder at the root level.
To checkout the backend api:
-
Clone this repository.
-
Run the backend app in your local machine.
-
Load it in your desktop postman app.
Backend:
Idea to use pandas package to use a csv file to populate the Postgres DB is from https://apoor.medium.com/quickly-load-csvs-into-postgresql-using-python-and-pandas-9101c274a92f
Got the idea on how to create a dictionary which allows duplicate key from here: https://stackoverflow.com/questions/29519858/adding-duplicate-keys-to-json-with-python
Datasets:
iris csv: https://gist.github.com/netj/8836201
products and sales csv: https://www.sqlservercentral.com/articles/join-two-csv-files-with-a-common-column Note: Original dataset was delimited by semicolons, and this had been changed to commas.