This saves a lot of time for large classifiers by waiting to invoke it until after some initial bucket setup has been done. In particular, initQuote. DelayedStagingBucket exists to try to limit the number of events that are kicked off. In this case, initQuote typically uses setCommittedValues, which DelayedStagingBucket does not override. However, overriding it did not provide a whole lot of benefit, since initQuote also calls getDataByName, which forces DelayedStagingBucket to flush so that hooks can run validations and such. The last step in Client#_changeQuote is to force the classifier to run, so this should be safe, unless calculated values happen to use classification results, in which case they'll be momentarily wrong and then immediately updated after the classifier runs.
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Liza Data Collection Framework
The Liza Data Collection Framework—"Liza" for short—is an effort to clean up, formalize, and expand upon a framework that was developed at RT Specialty / LoVullo for collecting, validating, and processing large amounts of user input for insurance quoting.
If your distribution does not contain a `configure' file in the project root, then you likely have the sources as committed to the project repository; you may generate the script by issuing the following command:
You may then see
./configure --help for more information.
configure is not available, see the section "Configuring" above.
$ ./configure # see --help for optional arguments $ npm install # install js dependencies $ make # build $ make check # run test cases
Compiled documentation for the latest release is available via our GitLab mirror, which uses the same build pipeline as we do on our internal GitLab instance. Available formats are:
For more information on hacking Liza and publishing to npm, see
Liza is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
The liza server is licensed differently: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
The full licenses are available in