This fixes the following error on io.js:
Fatal error: Maximum call stack size exceeded
RangeError: Maximum call stack size exceeded
at String.match (native)
at Object.exports.fromSource (node_modules/karma-browserify/node_modules/convert-source-map/index.js:109:19)
at updateSourceMap (node_modules/karma-browserify/lib/bro.js:326:23)
at Browserify.<anonymous> (node_modules/karma-browserify/lib/bro.js:351:9)
at Browserify.g (events.js:257:16)
at emitTwo (events.js:92:20)
at Browserify.emit (events.js:169:7)
at node_modules/karma-browserify/lib/bro.js:263:11
at node_modules/browserify/index.js:758:13
at ConcatStream.<anonymous> (node_modules/browserify/node_modules/concat-stream/index.js:36:43)
This patch fixes the method Model.getApp() that started to report
the following error after b61fae5 was landed:
assert.js:88
throw new assert.AssertionError({
^
AssertionError: undefined == true
at loopback/loopback/lib/model.js:392:7
at EventEmitter.<anonymous> (loopback/loopback/lib/model.js:222:9)
at EventEmitter.g (events.js:257:16)
at emitOne (events.js:77:13)
at EventEmitter.emit (events.js:166:7)
at EventEmitter.app.model (loopback/loopback/lib/application.js:157:9)
Change the type of the "include" argument to "string array".
The type used to be "string" before and thus requests sending multiple
include items were technically incorrect.
Fix a regression introduced by b917075 where two loopback projects,
each one using a different instance of loopback module, were
sharing the global registry and thus not working correctly.
The issue was discovered by unit-tests in loopback-workspace.
The commit b917075 accidentally removed a couple of properties,
this commit is bringing them back:
- loopback.modelRegistry
- loopback.defaultDataSources
A unit-test was added to prevent this kind of regressions in the future.
Add end-to-end unit-tests verifying enforcement of access control during
conflict resolution.
Implement two facade methods providing REST API for Change methods used
by conflict resolution:
PersistedModel.findLastChange
GET /api/{model.pluralName}/{id}/changes/last
PersistedModel.updateLastChange
PUT /api/{model.pluralName}/{id}/changes/last
By providing these two methods on PersistedModel, replication users
don't have to expose the Change model via the REST API. What's even
more important, these two methods use the same set of ACL rules
as other (regular) PersistedModel methods.
Rework `Conflict.prototype.changes()` and `Conflict.prototype.resolve()`
to use these new facade methods.
Implement a new method `Conflict.prototype.swapParties()` that provides
better API for the situation when a conflict detected in Remote->Local
replication should be resolved locally (i.e. in the replication target).
Correctly handle the case when the model is attached multiple times
during the lifecycle, this happens because `loopback.createModel`
always makes an attempt to auto-attach.
1) Add integration tests running change replication over REST to verify
that access control at model level is correctly enforced.
2) Implement a new access type "REPLICATE" that allows principals
to create new checkpoints, even though they don't have full WRITE
access to the model. Together with the "READ" permission, these
two types allow principals to replicate (pull) changes from the server.
Note that anybody having "WRITE" access type is automatically
granted "REPLICATE" type too.
3) Add a new model option "enableRemoteReplication" that exposes
replication methods via strong remoting, but does not configure
change rectification. This option should be used the clients
when setting up Remote models attached to the server via the remoting
connector.
- `loopback.registry` is now a true global registry
- `app.registry` is unique per app object
- `Model.registry` is set when a Model is created using any registry method
- `loopback.localRegistry` and `loopback({localRegistry: true})` when set to `true` this will create a `Registry` per `Application`. It defaults to `false`.
Modify the files to export a model factory function accepting
a `registry` argument. This is a preparation step for per-application
models - see #1212.
Rand McKinney
Miroslav Bajtoš
Miroslav Bajtoš
Raymond Feng
Raymond Feng
Edmond Lau
Ritchie Martori