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#!/bin/bash
#
# Demo of RAPPOR. Automating Python and R scripts. See README.
#
# Usage:
# ./demo.sh [function name]
#
# End to end demo of rappor. Notable functions include:
# quick-python: Runs a demo using the python client
# quick-cpp: Runs a demo using the c++ client
# If no function is specified the above two will be run consecutivly.
#
# This takes a minute or so. It runs a subset of tests from regtest.sh and
# writes an HTML summary.
set -o nounset
set -o pipefail
set -o errexit
. util.sh
readonly THIS_DIR=$(dirname $0)
readonly REPO_ROOT=$THIS_DIR
readonly CLIENT_DIR=$REPO_ROOT/client/python
# All the Python tools need this
export PYTHONPATH=$CLIENT_DIR
#
# Semi-automated demos
#
# Run rappor-sim through the Python profiler.
rappor-sim-profile() {
local dist=$1
shift
# For now, just dump it to a text file. Sort by cumulative time.
time python -m cProfile -s cumulative \
tests/rappor_sim.py \
-i _tmp/$dist.csv \
"$@" \
| tee _tmp/profile.txt
}
quick-python() {
./regtest.sh run-seq '^demo3' python
}
quick-cpp() {
# For now we build it first. Don't want to build it in parallel.
./build.sh cpp-client
./regtest.sh run-seq '^demo3' cpp
}
quick() {
quick-python
quick-cpp
}
# TODO: Port these old bad cases to regtest_spec.py.
# Running the demo of the exponential distribution with 10000 reports (x7,
# which is 70000 values).
#
# - There are 50 real values, but we add 1000 more candidates, to get 1050 candidates.
# - And then we remove the two most common strings, v1 and v2.
# - With the current analysis, we are getting sum(proportion) = 1.1 to 1.7
# TODO: Make this sharper by including only one real value?
bad-case() {
local num_additional=${1:-1000}
run-dist exp 10000 $num_additional 'v1|v2'
}
# Force it to be less than 1
pcls-test() {
USE_PCLS=1 bad-case
}
# Only add 10 more candidates. Then we properly get the 0.48 proportion.
ok-case() {
run-dist exp 10000 10 'v1|v2'
}
if test $# -eq 0 ; then
quick
else
"$@"
fi
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