"""
What we have now:                                                   Saved AS:

Wikipeda-summary    : PageId / abstract                             subject,text
Movies              : Movie URI                                     "subject"
Dataset             : Movie URI / Relationship / Object [RDF]       subject,relationship,object
Movies-PageId       : Movie URI / PageId (wiki)                     "subject", "object"
Reverse             : Subject / Relationship / Movie URI            "subject","relationship","object"

What we want:
( we will generate MovieID)
Movies              : MovieID [PK] / Movie URI
WikiPageIDs         : MovieID [PK, FK]/ PageId [IDX] (wiki) (Not important for now)
Abstracts           : MovieID [PK, FK]/ abstract
Subjects            : SubjectID [PK] / RDF Subject ( both from either Dataset.csv or Reverse.csv) / OriginID [FK]
Relationships       : RelationshipID [PK]/ RDF Relationship  (not the actual relationshi but the value)
Objects             : ObjectID [PK]/ RDF Object / OriginID [FK]
Origins             : OriginID [PK]/ Origin Name
RDFs                : RDF_ID[PK] / MovieID [FK] / SubjectID [FK]/ RelationshipID [FK]/ ObjectID [FK]

What we will build for the model

we need RDF list for each movie together with abstract

: MovieID / RDF_set / abstrct

"""

import sqlite3

# Create a SQL connection to our SQLite database
con = sqlite3.connect("data/portal_mammals.sqlite")

cur = con.cursor()

# Return all results of query
cur.execute('SELECT plot_id FROM plots WHERE plot_type="Control"')
cur.fetchall()

# Return first result of query
cur.execute('SELECT species FROM species WHERE taxa="Bird"')
cur.fetchone()

# Be sure to close the connection
con.close()