pipeline

This directory contains tools and scripts for running a cron job that does RAPPOR analysis and generates an HTML dashboard.

It works like this:

task_spec.py generates a text file where each line corresponds to a process to be run (a "task"). The process is bin/decode-dist or bin/decode-assoc. The line contains the task parameters.
xargs -P is used to run processes in parallel. Our analysis is generally single-threaded (i.e. because R is single-threaded), so this helps utilize the machine fully. Each task places its output in a different subdirectory.
cook.sh calls combine_results.py to combine analysis results into a time series. It also calls combine_status.py to keep track of task data for "meta-analysis". metric_status.R generates more summary CSV files.
ui.sh calls csv_to_html.py to generate an HTML fragments from the CSV files.
The JavaScript in ui/ui.js is loaded from static HTML, and makes AJAX calls to retrieve the HTML fragments. The page is made interactive with ui/table-lib.js.

dist.sh and assoc.sh contain functions which coordinate this process.

alarm-lib.sh is used to kill processes that have been running for too long.

Testing

pipeline/regtest.sh contains end-to-end demos of this process. Right now it depends on testdata from elsewhere in the tree:

rappor$ ./demo.sh run   # prepare dist testdata
rappor$ cd bin

bin$ ./test.sh write-assoc-testdata  # prepare assoc testdata
bin$ cd ../pipeline

pipeline$ ./regtest.sh dist
pipeline$ ./regtest.sh assoc

pipeline$ python -m SimpleHTTPServer  # start a static web server

http://localhost:8000/_tmp/

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pipeline

Testing

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