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sum.go
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sum.go
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//
// Copyright 2020 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
package codelab
import (
"github.com/google/differential-privacy/privacy-on-beam/v2/pbeam"
"github.com/apache/beam/sdks/v2/go/pkg/beam"
"github.com/apache/beam/sdks/v2/go/pkg/beam/transforms/stats"
)
func init() {
beam.RegisterFunction(extractVisitHourAndMoneySpentFn)
}
// RevenuePerHour calculates and returns the total money spent by visitors
// who entered the restaurant for each hour. This DOES NOT produce an anonymized output.
// Use PrivateRevenuePerHour for computing this in an anonymized way.
func RevenuePerHour(s beam.Scope, col beam.PCollection) beam.PCollection {
s = s.Scope("RevenuePerHour")
hourToMoneySpent := beam.ParDo(s, extractVisitHourAndMoneySpentFn, col)
revenues := stats.SumPerKey(s, hourToMoneySpent)
return revenues
}
func extractVisitHourAndMoneySpentFn(v Visit) (int, int) {
return v.TimeEntered.Hour(), v.MoneySpent
}
// PrivateRevenuePerHour calculates and returns the total money spent by visitors
// who entered the restaurant for each hour in a differentially private way.
func PrivateRevenuePerHour(s beam.Scope, col beam.PCollection) beam.PCollection {
s = s.Scope("PrivateRevenuePerHour")
// Create a Privacy Spec and convert col into a PrivatePCollection.
spec := pbeam.NewPrivacySpec(epsilon /* delta */, 0)
pCol := pbeam.MakePrivateFromStruct(s, col, spec, "VisitorID")
// Create a PCollection of output partitions, i.e. restaurant's work hours (from 9 am till 9pm (exclusive)).
hours := beam.CreateList(s, [12]int{9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20})
hourToMoneySpent := pbeam.ParDo(s, extractVisitHourAndMoneySpentFn, pCol)
revenues := pbeam.SumPerKey(s, hourToMoneySpent, pbeam.SumParams{
MaxPartitionsContributed: 1, // Visitors can visit the restaurant once (one hour) a day
MinValue: 0, // Minimum money spent per user (in euros)
MaxValue: 40, // Maximum money spent per user (in euros)
PublicPartitions: hours, // Visitors only visit during work hours
})
return revenues
}