The assertThrows/expectThrows refactoring script does not use method
references, apparently.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=179089048
This is in preparation for running the automatic refactoring script that
will replace all ExpectedExceptions with use of JUnit 4.13's assertThrows/
expectThrows.
Note that I have recorded the callsites of assertions about EppExceptions
being marshallable and will edit those specific assertions back in after
running the automatic refactoring script (which do not understand these).
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=178812403
The only remaining methods on ExceptionRule after this are methods that
also exist on ExpectedException, which will allow us to, in the next CL,
swap out the one for the other and then run the automated refactoring to
turn it all into assertThrows/expectThrows.
Note that there were some assertions about root causes that couldn't
easily be turned into ExpectedException invocations, so I simply
converted them directly to usages of assertThrows/expectThrows.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=178623431
Last commit did not pick up all the changes because MOE incorrectly attributed some changes to the wrong commit. This commit should reconcile these. Also picked up some changes to how hamcrest library is depended upon in BUILD file, which should have been included in previous commits.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=177637931
The scheme is:
- loadBytes: returns a ByteSource of the data
- loadFile: returns a string using UTF8 encoding, optionally applying
substitutions
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=177606406
There is a big mix of different "load Resources" from different libraries
depending on where you were and what type of resource you want. Now there is a
clear hirarchy:
ResourceUtils:
for use in actual (non-test) code, reads a file from a context directory
TestDataHelper (uses ResourceUtils):
for use in tests, reads a file from a context directory + "/testdata". Also
caches the resource so calling it multiple times with the same file will
not read the file multiple times.
Library specific helpers (e.g. ToolsTestData) (uses TestDataHelper):
for use in that library's tests only, reads from a specific testdata directory.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=177027533
This command is used by registry operators to apply registry locks to
domain names.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=176577240
This command is used by registry operators to apply registry locks to
domain names.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=176549874
This was a surprisingly involved change. Some of the difficulties included
java.util.Optional purposely not being Serializable (so I had to move a
few Optionals in mapreduce classes to @Nullable) and having to add the Truth
Java8 extension library for assertion support.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=171863777
It makes sense for all mapreduces to run in backend, especially onces
that are scheduled regularly to run in cron like this one now. We don't
have many instances configured for the tools service anymore on some
of our environments, so backend is the friendliest place for a mapreduce
to run.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=168882122
We're planning on adding a cronjob to run this mapreduce monthly, so
we may as well also project the resources being re-saved to the present
time so as to handle pending transfers, grace periods, and such. This will
make the BigQuery exports more useful.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=168831056
This pattern will mainly be used for data migrations, i.e. updating all
HistoryEntries' DomainTransactionRecords to the new schema.
TESTED=Ran in alpha, the underlying data dropped non-Objectify fields as
expected.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=168684356
This is the first in a series of CLs containing code from an old CL of Dai's that had never been completed, which compares zone data between Datastore and DNS. I had written a script to do this by calling two nomulus commands, but maybe it can be done directly in Java, which would be convenient.
This CL is just the plumbing to check on the status of a Mapreduce. We will need this to know that we can proceed with the next step of comparing the output to the DNS data.
Cloned from CL 134295050 by 'g4 patch'.
Original change by dxy@dxy:zoneman-reader:1939:citc on 2016/09/26 10:34:22.
Add a command for comparing zone data between DNS and datastore
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=167188979
In standard DNS format, the first thing on an A, NS or DS definition line is a domain label relative to the zone, which in our case is a TLD. However, the generate_zone_files command prints out fully qualified host and domain names, resulting in a discrepancy when compared to the contents of the DNS subsystem. This CL removes the TLD suffix, which should remove one preprocessing step before file comparison.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=166103705
Previously, GenerateZoneFilesAction mapreduced its way through all domains and hosts for the specified TLD(s), emitting information for each matching domain and host (subject to constraints like not being deleted and so on). This resulted in host information (aka glue records) for all hosts subordinate to domains in the specified TLD(s). This is incorrect. DNS glue records should only be present for hosts which act as nameservers for their superordinate domains.
The new version of the mapreduce iterates only over domains. When a matching domain is found, a check is made to see whether any subordinate hosts are also nameservers for the domain, in which case host information is generated.
The test was updated to reflect the new reality, and check for a couple additional nuances.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=165766472
Attending to this old bug will improve our ability to perform zone comparisons between Datastore and the DNS provider. Right now, zone comparison finds some bogus differences, because the TTL we send to the DNS subsystem doesn't match the TTL we use when generating our local dump files.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=164635557
This makes the code more understandable from callsites, and also forces
users of this function to deal with the situation where the registrar
with a given client ID might not be present (it was previously silently
NPEing from some of the callsites).
This also adds a test helper method loadRegistrar(clientId) that retains
the old functionality for terseness in tests. It also fixes some instances
of using the load method with the wrong cachedness -- some uses in high-
traffic situations (WHOIS) that should have caching, but also low-traffic
reporting that don't benefit from caching so might as well always be
current.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=162990468
This will allow us to migrate one TLD at a time by refreshing all zones
on the specified TLD after dual-writing is enabled.
Note that the TLDs parameter is required, which seems reasonable given
that almost all imagined use cases would be on a by-TLD basis.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=160294546
This is better than calling assertTldExists() inside a for loop because you can throw a single exception reporting all bad TLDs at once rather than only getting as far as the first failure. And then it's also a one-liner instead of 3 lines.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=152412876
Replace constants (static final CONSTANT_CASE) declaration type which use the general collection interface (e.g. List) with an immutable type (e.g. ImmutableList).
For constant field declarations, you should use the immutable type (such as ImmutableList) instead of the general collection interface type (such as List). This communicates to your callers important semantic guarantees ([]
For more info, see: []
Cleanup change automatically generated by javacflume/refactory
Refactoring: //third_party/java_src/error_prone/project/core/src/main/java/com/google/errorprone/bugpatterns:MutableConstantField_refactoring
Tested:
TAP --sample for global presubmit queue
[]
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=149061247
Principally, this moves a load method into DatastoreHelper that is now
only used by tests.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=148649087
It was kind of messy having all of that logic living alongside the
entities themselves.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=148498024
This also cleans up the PremiumList API so that it only has one
method for checking premium prices, which is by TLD, rather than two.
I will be refactoring a lot of the static methods currently residing in
the PremiumList class into a separate utils class, but I don't want to
include too many changes in this one CL.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=148475345
This fixes a bug in the interaction between ListObjectsAction and ListObjectsCommand/AppEngineConnection. ListObjectsAction was returning HTTP status code 400 when it caught an IAE, but also attempting to return a JSON response payload of {"status": "error", "error": "<exception message>"}. However, AppEngineConnection treats any HTTP error response as more like a crash on the server side - it attempts to scrape the error message out of the autogenerated HTML that AppEngine produces for uncaught exceptions, and throws an exception, killing ListObjectsCommand before it can extract the JSON which contains the nicer error (that stating the missing field, etc versus just "400 Bad Request").
The fix is just to have ListObjectsAction return a 200 and the error message so that ListObjectsCommand can correctly handle it.
I also de-scoped the catch to only catching IAE, since catching Exception was overbroad, and the only "expected" exception to be thrown is an IAE from the checkArgument() that tests if the requested fields all exist. Any other kinds of exceptions should actually just bubble up and kill the action, and get the regular AppEngineConnection error treatment.
I also added "billingId" as an alias for "billingIdentifier", parallel to clientId/clientIdentifier, since that's why I came across this issue in the first place.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=148248834
I'm setting it to three buckets across all tests, because the default one bucket
wasn't realistic enough, and allowed some tests to pass that shouldn't have,
essentially by accident.
This also changes RegistryConfig from being an interface to being an abstract
base class. The medium term goal here is to have it be a static class so that it
can provide fields from the YAML-derived POJO in situations where Dagger
injection isn't feasible.
The expected end state is as follows:
default-config.yaml -- The master config file that provides defaults for all
values.
nomulus-config.yaml -- A per-environment config file that overrides the defaults
from the previous file.
YamlConfig.java -- The POJO that the aforementioned YAML files are deserialized
into.
RegistryConfig.java -- Contains a static, memoized instance of YamlConfig and
provides static methods for getting some of those values.
ConfigModule -- Will become a static inner class of RegistryConfig, using Dagger
to provide most of the fields from the memoized YamlConfig instance. This way,
all configuration will be coming from a single place: RegistryConfig.java.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=143567288
This makes the associated nomulus tool commands correctly return error
exit codes when the server-side component fails. This improves
scriptability.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=140543216
This also changes the default number of mapper shards in tests to 2, which is
the number of EppResourceIndex buckets in unit tests. Running more shards than
there are buckets causes unnecessary test load.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=135520601
Also creates a new package named 'batch' to house it.
TESTED=I deployed it to alpha, sent a POST request to the task URL, and it
successfully ran the [].
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=134332999
This change replaces all Ref objects in the code with Key objects. These are
stored in datastore as the same object (raw datastore keys), so this is not
a model change.
Our best practices doc says to use Keys not Refs because:
* The .get() method obscures what's actually going on
- Much harder to visually audit the code for datastore loads
- Hard to distinguish Ref<T> get()'s from Optional get()'s and Supplier get()'s
* Implicit ofy().load() offers much less control
- Antipattern for ultimate goal of making Ofy injectable
- Can't control cache use or batch loading without making ofy() explicit anyway
* Serialization behavior is surprising and could be quite dangerous/incorrect
- Can lead to serialization errors. If it actually worked "as intended",
it would lead to a Ref<> on a serialized object being replaced upon
deserialization with a stale copy of the old value, which could potentially
break all kinds of transactional expectations
* Having both Ref<T> and Key<T> introduces extra boilerplate everywhere
- E.g. helper methods all need to have Ref and Key overloads, or you need to
call .key() to get the Key<T> for every Ref<T> you want to pass in
- Creating a Ref<T> is more cumbersome, since it doesn't have all the create()
overloads that Key<T> has, only create(Key<T>) and create(Entity) - no way to
create directly from kind+ID/name, raw Key, websafe key string, etc.
(Note that Refs are treated specially by Objectify's @Load method and Keys are not;
we don't use that feature, but it is the one advantage Refs have over Keys.)
The direct impetus for this change is that I am trying to audit our use of memcache,
and the implicit .get() calls to datastore were making that very hard.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=131965491
This fixes a significant memory consumption issue when running tests.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=129482832