source: examples/python_tests/payraise_rt1/README @ 373bf68

#####################################################################
# This example demostrates how to use 'this' as a data term of a RT1 
# policy credential where it is implicitly translated to a variable.
#
# Credential 1 is the policy credential with 2 intersecting rules.
# A employee is up for a pay raise if the evaluator of the employee 
# affirms his/her good performance and the manager of the employee 
# affirms his/her pleasantness.
#
# Credential 2 is the policy credential that states an evaluator of
# an employee is also the manager of the employee.
#
# Credential 3, 4 and 5 state Bob is the evaluator of Maryann and she
# is showing good performance and is a nice coworker. Credential 6 and
# 7 state Bob is also the evaluator of Joe and he is showing good
# performance. But, there is no fact that says Joe is a nice coworker.
#
# The query.py file asks if a given principal is entitled to a pay
# raise. Maryann is but not Joe, because his manager did not affirm 
# his pleasantness(but neither did he deny it)

# Credential 1,
# [keyid:alpha].role:payRaise <-
#           [keyid:alpha].role:evaluatorOf([principal:?this]).role:goodPerformance &
#           [keyid:alpha].role:managerOf([principal:?this]).role:niceCoworker

# Credential 2
# [keyid:alpha].role:managerOf([principal:?Z])<-
#           [keyid:alpha].role:evaluatorOf([principal:?Z])

# Credential 3
# [keyid:alpha].role:evaluatorOf([keyid:Maryann]) <-[keyid:Bob]

# Credential 4 
# [keyid:Bob].role:goodPerformance <- [keyid:Maryann])

# Credential 5 
# [keyid:Bob].role:niceCoworker <- [keyid:Maryann])

# Credential 6
# [keyid:alpha].role:evaluatorOf([keyid:Joe]) <-[keyid:Bob]

# Credential 7 
# [keyid:Bob].role:goodPerformance <- [keyid:Joe])