A work-in-progress FireRoad-compatible API using MIT's Data Warehouse, intended to replace at least part of FireRoad's scraper when finished.

In order to use this, you will need credentials to access MIT's Data Warehouse. Here are steps for setting that up (on Linux or macOS x86-64; details may vary on other platforms):

1. Request access to subject enrollment data using this form; specifically, access to the tables CIS_COURSE_CATALOG, SUBJECT_OFFERED, and CIS_HASS_ATTRIBUTE is needed.
2. Once access has been granted, set a password for your Data Warehouse account.
3. Download both the "Basic" and "SQL*Plus" packages (as zip files) for Oracle Instant Client from Oracle's website.
   • As of the time of writing, MIT's Data Warehouse uses Oracle Database 10.2; consult the python-oracledb documentation for information about the versions of Instant Client that work. Typically, an Instant Client a few versions later than what is officially supported should work fine.
   • Modern versions of node-oracledb have a "thin mode" that does not require the Instant Client to be installed, but as of the time of writing, the version of Oracle Database used by MIT is both too old to support it, and uses a proprietary encryption scheme that the thin client does not implement.
4. Extract both zip files; they should both create files in a new directory called instantclient_21_9.
5. Now, if $ORACLE_HOME is set to the full path of your instantclient_21_9 directory and $user and $pass are set to your Data Warehouse credentials, you should be able to run SQL*Plus with one of the following command lines (the second gives you Readline-style editing, including keeping a history file under /tmp/):

   $ LD_LIBRARY_PATH="$ORACLE_HOME" "$ORACLE_HOME/sqlplus" "$user/$pass@warehouse"
   $ LD_LIBRARY_PATH="$ORACLE_HOME" rlwrap -H /tmp/sqlplus_hist "$ORACLE_HOME/sqlplus" "$user/$pass@warehouse"

6. To be able to run the script, create a file .env at the root of this repository with the following contents:

   ORACLE_HOME="/path/to/instantclient_21_9"
   USERNAME=yourusernamehere
   PASSWORD=yourpasswordhere

Oracle has not created an Instant Client distributable for macOS ARM architectures (e.g M1) as of yet. To run this project on macOS ARM, you will need to create an x86-64 installation of Node.js and run the Oracle database client through Rosetta.

The installation steps are the same as above, but you'll need to install an x86-64 version of Node.js first and activate it everytime you use this project. Here's a tutorial on how to do that.

The configuration files required to connect to the Data Warehouse are included in the warehouse-conf directory. These are unlikely to be updated, but if they are, you will need to update them from the MIT knowledge base. Extract the zip file; move ldap.ora and sqlnet.ora to warehouse-conf. Replace whatever placeholder is currently set for the SQLNET.CRYPTO_SEED entry with "#DYNAMICALLY_GENERATED_RANDOM_SEED#".

$ npm install
$ npm start 6.1220

This is still a prototype script for now.