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sdc-napi

This repository is part of the Triton Data Center project. See the contribution guidelines and general documentation at the main Triton project page.

The SDC Networking API (NAPI) manages networking-related data for SDC. This includes the provisioning of MAC addresses for new Virtual Nics (vnics) and IP addresses for subnets. For more information on the objects that NAPI manages, see docs/index.md.

The contents of this repo are bundled up into an image that is then provisioned as the napi zone in SDC.

Repository

bin/                CLI tools
boot/               Shell scripts for booting and configuring the zone
deps/               Git submodules
docs/               Project docs (restdown)
lib/                Source files.
node_modules/       node.js dependencies - not checked in, but installed
                    with `npm install`
sapi_manifests/     Service API (SAPI) manifests
sbin/napid          Executable that runs NAPI
smf/manifests       SMF manifests
smf/methods         SMF method scripts
test/               Test suites (using nodeunit)
    integration/    Integration tests (to be run in a deployed napi zone)
    unit/           Unit tests (to be run in your development environment)
tools/              Miscellaneous dev tools
tools/data		Tools to generate bulk data
Makefile
package.json        npm module info (holds the project version)
README.md
server.js           API server main entry point

Development

Getting started

git clone [email protected]:TritonDataCenter/sdc-napi.git
make

To update the docs, edit "docs/index.md", then check that "docs/index.html" gets updated properly by running:

make docs

To run style and lint checks:

make check

To run all checks and tests:

make prepush

Before commiting/pushing run make prepush and, if possible, get a code review. For non-trivial changes, a unit or integration test that covers the new behaviour is required.

Code layout

The code in lib/ has a particular layout - please adhere to this if possible. The general areas are:

  • apis: Helper code for accessing other APIs
  • endpoints: All restify handlers go here
  • models: Modules that handle persistence of all of the various NAPI objects
  • util: Utility functions

models

models is where the meat of NAPI lies. Each model can be one file (as per models/aggregation.js), or split into many files in a subdirectory (as per models/nic/. Each model must at minimum, export the following functions:

  • create
  • del
  • get
  • init: for initializing moray buckets for the object type
  • list
  • update

models/aggregation.js is a good example of the function signature these functions should have going forward: function (opts, callback), where opts is an object.

Sharp edges

Fair warning: NAPI has the unfortunate problem that its various objects have 1:N relationships, and many of them either have hierarchies or dependencies on other objects. It works around this by:

  • Refusing to delete objects if another depends on them
  • Making changes in moray batches if possible: this ensures that changes to multiple moray buckets will be atomic.

NAPI also represents pools of objects, whether it's IP space in a subnet, or MAC addresses. Often a user doesn't care what the value is: they just want the "next" one. Doing this in a way that works with many API instances is pretty messy: it depends on both retries and using moray's .sql() method. See the Big Theory Statement at the top of models/ip/provision.js, and the code in models/nic/provision.js for the details, and be cautious when changing code in those areas.

Coding style

Some style idiosyncracies and other miscellaneous bits that might not seem obvious at first:

  • module.exports lives at the bottom of each file, so you always know where to look.
  • Variable and function declarations are in alphabetical order, if possible.
  • Global variables, internal functions and exports are in their own sections in each file, and are always in that order.
  • callback is used for the callback passed into a top-level function. cb is used for the callbacks passed to vasync functions.
  • Functions and variable names are camel-cased, except for globals, which are all caps with underscores.

Poking around the code a bit should give you a feel for the style. When in doubt, try to copy the style already in the file you're changing.

Testing

All checkins must be accompanied by either a unit test or an integration test (or ideally both)! The only exceptions should be either trivial changes that don't change operational functionality, or dependency updates. Please ensure all unit and integration tests pass before checkin.

Running unit tests

The unit tests require having Postgres installed. On Mac OS X and SmartOS, you can install it with:

pkgin in postgresql92-server postgresql92-client

To run all of the unit tests:

make test

This will also output code coverage information into coverage/. To run an individual test:

./test/runtest ./test/unit/testname.test.js

To run an individual test with more verbose logging:

LOG_LEVEL=debug ./test/runtest ./test/unit/testname.test.js

Running integration tests

To run the integration tests, on a non-production SDC server:

sdc-login napi
/opt/smartdc/napi/test/runtests

Or to run an individual integration test:

sdc-login napi
/opt/smartdc/napi/test/runtest /opt/smartdc/napi/test/integration/testname.test.js

To run the integration tests from a different host:

NAPI_HOST=10.99.99.10 test/runtests
NAPI_HOST=10.99.99.10 node test/integration/testname.test.js

Writing tests

Tests in NAPI have evolved considerably over its lifetime, and the remnants of those older styles are still lingering. The current preferred way of writing tests is to have top-level tests with many smaller sub-tests. Those sub-tests should call out to the high-level test helpers in test/lib, like in this example based on test/unit/aggregations.test.js:

test('update', function (t) {
    // ... any setup code goes here ...

    t.test('update name', function (t2) {
        mod_aggr.get(t2, {
            id: 'aggr9',
            expCode: 404,
            expErr: {
                code: 'ResourceNotFound',
                message: 'aggregation not found'
            }
        });
    });

    // ... more tests ...

    t.test('update name', function (t2) {
        mod_aggr.update(t2, {
            id: state.aggrs[0].id,
            params: {
                name: 'aggr9'
            },
            // Should be unchanged
            exp: state.aggrs[0]
        });
    });
});

In this example, mod_aggr is the test helper. All of the test helpers in test/lib have similar APIs and all leverage the same shared code to avoid duplication. This hopefully avoids writing the same boilerplate code over and over.

Other general test guidelines:

  • Use the API to both insert and retrieve data, unless you really need to test that the data is being stored in a certain format (to work around a limitation in moray, say).
  • Check the TODOs in each of the test files as you modify them - you may have completed one of them while making your changes (or could easily add one of them).

Bulk Data Generation

There are a series of scripts and C programs in the tools/data directory. They may be used to generate any kind of action necessary. To prepare the tools for use, run gmake inside of the directory and copy the resulting contents of the tools/data/proto to a directory on a head node.