sise.micro-rna-m-rna-targets-interactions.backend
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Created By:
Uri Zlotkin
Shahar Kramer
The backend is developed with Python Flask, and the data is stored and handled with Postgres SQL.
In order to set up the development environment and run the project, we create a file called requirements.txt.
All the packages we use in the project are in that file.
flask==2.2.2
flask_cors==3.0.10
pandas==1.5.2
numpy==1.23.5
flask-sqlalchemy
psycopg2
flask_executor
flask-compress
waitress
132.73.84.177/api - welcome message for the api
132.73.84.177/api/organisms/details - return list of organisms in json.
132.73.84.177/api/organisms/datasets/int:data_set_id/interactions - return list of interactions of dataset:int:data_set_id in json
132.73.84.177/api/interactions - return list of interactions base on search filters: (datasetsIds, seedFamilies, miRnaIds, miRnaSeqs, sites, geneIds, regions)
PostgreSQL is used as a database, and flask_sqlalchemy is used to communicate with it. Each table is translated into a Python object by mapping it to a python object. Our objects: (Organism, DataSet, Interaction, mirnaIdOption, SeedFamilyOption, GeneIdOption, RegionOption, SiteOption).
There is a config.ini file and a Configurator class. Database connection information is stored in the config.ini file, which is not uploaded to git. The Configurator class reads the necessary data from the config.in file.