* Add an explanation to dummied-out JPA init
Add a more elaborate explanation of why actual JpaTransactionManager
initialization was removed from the factory.
* Add a DAO for RegistryLock objects
* Add an index on verification code and remove old file
* Move to v4
* Use camelCase in index names
* Javadoc fixes
* Allow alteration of RegistryLock objects in-place
* save, load-modify, read in separate transactions
* Change the creation timestamp to be a CreateAutoTimestamp
* Add persistence.xml to the war files
* Always use the DummyJpaTransactionManager
Use the DJTM until we get all of the dependencies set up for all of the
environments.
This shouldn't affect any of the unit tests, these use the
JpaTransactionManagerRule to set up a local database and connection.
This fixes the App Engine build.
* Implement CreateAutoTimestampConverter
Implement a JPA-based converter for CreateAutoTimestamp, allowing us to
persist instances of this class.
Note that converters appear to be required to convert to and from database
types that are generally known to JDBC. For example, conversion to Timestamp
works, conversion to OffsetDateTime does not (even though this works through
the JDBC interface directly).
* Give JpaTransactionManagerRule more parameters
Allow users of the rule to add annotated classes and properties, both useful
for testing.
* Change in response to review.
* Changes for review.
* Move test EntityManagerFactory create method
Move the test create method into the JpaTransactionManagerRuleTest.
* Remove nomulus SQL dialect from G.S.S.Command
Remove NomulusPostgreSQLDialect from GenerateSqlSchemaCommand (it has been
moved to its own top-level class).
* Upgrade to Truth 1.0
Refactored fail(...) to assertWithMessage().fail().
Upgraded com.google.monitoring-client family of dependencies to 1.0.6
Also fixed bad use of io.StringIO (on binary buffer) recently introduced to
google-java-format-diff.py.
* Fix dependency-locking config
Reenable dependency locking after a bug errorneouly turned it off.
Removed the guava-related workaround that forcefully resolve to
the -jre distribution.
Enabled locking for buildSrc by updating its property file.
Updated all lock files.
* Output command test output as well as consuming it
CommandTestCase currently consumes stdout & stderr for the command being
tested. Unfortunately, this results in us not being able to see the command
output. Add an output splitter so that output gets written to the original
stream in addition to being captured.
A simpler approach would be to print the captured data after command
completion. However, this won't work for tests that become hung and also
won't display results in real-time.
Tested: Ran a command test with verboseTestOutput=true, verified that standard
output was visible.
* Save and restore original stdout/err in cmd tests
We have to restore the original stdout/stderr print streams otherwise we end
up nesting them across tests which eventually causes the RDE tests to OOM.
* Add RegistryLock schema to Flyway deployment folder
Added creation script of RegistryLock to Flyway deployment folder.
Fixed previous scripts (PremiumList- and ClaimsList-related) for
FK name change (cause by table name changes: names are quoted now).
We should consider generating foreign key names by ourselves.
Since the alpha database is empty, we dropped and recreated the schema.
Added instructions on how to submit new database incremental changes
in the README file.
Updated RegistryLock.java, removing unnecessary annotations:
- For most fields, the 'name=' property is no longer necessary not that
the naming strategy is in place. The exceptions are the two used in
the unique index.
- The @Column annotation is implicit.
* Add RegistryLock SQL schema
* Refactor a bit
* Move registrylock -> domain
* Clearing up lock workflow
* Add more docs and remove LockStatus
* Responses to CR
* Add repoId javadoc
* Add registry lock to persistence xml file
* Quote rather than backtick
* Remove unnecessary check
* File TODO
* Remove uniqueness constraint on verification code
* Remove import
* add index
* Add to SQL generation task
* Move fields around to be the same order as Hibernate's generated sql
* Use Flyway to deploy SQL schema to non-prod
Added Gradle tasks to deploy and drop schema in alpha
using Flyway.
Updated ClaimsList.java so that Hibernate-generated
schema would use the right types.
Using 'varchar(255)' instead of 'text' for string columns
for now. We will need to investigate how to force Hibernate
to use the desired types in all cases.
* Use Flyway to deploy SQL schema to non-prod
Added Gradle tasks to deploy and drop schema in alpha
using Flyway.
Updated ClaimsList.java so that Hibernate-generated
schema would use the right types.
Using 'varchar(255)' instead of 'text' for string columns
for now. We will need to investigate how to force Hibernate
to use the desired types in all cases.Added Gradle tasks to deploy and drop schema in alpha
using Flyway.
Updated ClaimsList.java so that Hibernate-generated
schema would use the right types.
Using 'varchar(255)' instead of 'text' for string columns
for now. We will need to investigate how to force Hibernate
to use the desired types in all cases.
* Use Flyway to deploy SQL schema to non-prod
Added Gradle tasks to deploy and drop schema in alpha
using Flyway.
Corrected the type of ClaimsEntry's revision_id column.
It should be plain int8, not bigserial.
Make GenerateSqlSchemaCommand use a custom dialect that
converts all varchar type to 'text' and timestamp to
'timestamptz'.
* Use Flyway to deploy SQL schema to non-prod
Added Gradle tasks to deploy and drop schema in alpha
using Flyway.
Use a custome dialect in GenerateSqlSchemaCommand to
convert varchar type to 'text' and timestamp to 'timestamptz'.
Corrected ClaimsEntry's revision_id column type to int8.
This column tracks parent table's primary key and should
not be bigserial.
* Use Flyway to deploy SQL schema to non-prod
Added Gradle tasks to deploy and drop schema in alpha
using Flyway.
Use a custome dialect in GenerateSqlSchemaCommand to
convert varchar type to 'text' and timestamp to 'timestamptz'.
Corrected ClaimsEntry's revision_id column type to int8.
This column tracks parent table's primary key and should
not be bigserial.
* Use Flyway to deploy SQL schema to non-prod
Added Gradle tasks to deploy and drop schema in alpha
using Flyway.
Use a custome dialect in GenerateSqlSchemaCommand to
convert varchar type to 'text' and timestamp to 'timestamptz'.
Corrected ClaimsEntry's revision_id column type to int8.
This column tracks parent table's primary key and should
not be bigserial.
* Re-add other schema classes
* Add Cloud SQL schema for premium lists
This won't work quite yet, pending a solution for the type translator issue
(which will be needed for the currency field, and potentially others).
* Generate basic schema for all of DomainBase
Generate a basic schema for DomainBase and everything that is part of it.
This still isn't complete, in particular it lacks:
- Correct conversions for problematic types (e.g. DateTime, Key...)
- Schema generation for history records.
- Name translation.
* Make parameter names in generate_sql_schema command consistent
The rest of the nomulus commands use underscores for delimiting words in
parameter names, so this should too.
Also fixed capitalization of some proper nouns.
* Move EntityManagerFactoryProviderTest to fragile
* Add EMF Provider Test to docker tests
Add EntityManagerFactoryProviderTest to the docker incompatible test patterns
and use the latter list to compose the fragile tests.
* Start postgresql container in generate_sql_schema
Add a --start-postgresql option to the nomulus generate_sql_schema command so
that users don't have to start their own docker container to run it.
* Made default behavior be to give guidance
* Don't write TX records for domains deleted in autorenew grace period
When the project was originally being designed, we envisioned have a purely
point-in-time architecture that would allow the system to run indefinitely
without requiring any background batch jobs. That is, you could create a domain,
and 10 years later you could infer every autorenewal billing event that should
have happened during those 10 years, without ever having to run any code that
would go through and retroactively create those events as they happened.
This ended up being very complicated, especially when it came to generating
invoices, so we gave up on it and instead wrote the
ExpandRecurringBillingEventsAction mapreduce, which would run as a cronjob and
periodically expand the recurring billing information into actual one-time
billing events. This made the invoicing scripts MUCH less complicated since they
only had to tabulate one-time billing events that had actually occurred over the
past month, rather than perform complicated logic to infer every one-time event
over an arbitrarily long period.
I bring this up because this architectural legacy explains why billing events
are more complicated than could otherwise be explained from current
requirements. This is why, for instance, when a domain is deleted during the 45
day autorenewal period, the ExpandRecurringBillingEventsAction will still write
out a history entry (and corresponding billing events) on the 45th day, because
it needs to be offset by the cancellation billing event for the autorenew grace
period that was already written out synchronously as part of the delete flow.
This no longer really makes sense, and it would be simpler to just not write out
these phantom history entries and billing events at all, but it would be a
larger modification to fix this, so I'm not touching it here.
Instead, what I have done is to simply not write out the DomainTransactionRecord
in the mapreduce if the recurring billing event has already been canceled
(i.e. because the domain was deleted or transferred). This seems inconsistent
but actually does make sense, because domain transaction records are never
written out speculatively (unlike history entries and billing events); they
correspond only to actions that have actually happen. This is because they were
architected much more recently than billing events, and don't use the
point-in-time hierarchy.
So, here's a full accounting of how DomainTransactionRecords work as of this commit:
1. When a domain is created, one is written out.
2. When a domain is explicitly renewed, one is written out.
3. When a domain is autorenewed, one is written out at the end of the grace period.
4. When a domain is deleted (in all cases), a record is written out recording the
deletion.
5. When a domain is deleted in the add grace period, an offsetting record is
written out with a negative number of years, in addition to the deletion record.
6. When a domain is deleted in the renewal grace period, an offsetting record is
likely written out in addition.
7. When a domain is deleted in the autorenew grace period, there is no record that
needs to be offset because no code ran at the exact time of the autorenew, so
NO additional record should be written out by the expand mapreduce.
*THIS IS CHANGED AS OF THIS COMMIT*.
8. When a domain is transferred, all existing grace periods are cancelled and
corresponding cancelling records are written out. Note that transfers include a
mandatory, irrevocable 1 year renewal.
9. In the rare event that a domain is restored, all recurring events are
re-created, and there is a 1 year mandatory renewal as part of the restore with
corresponding record written out.
So, in summary, billing events and history entries are often written out
speculatively, and can subsequently be canceled, but the same is not true of
domain transaction records. Domain transaction records are only written out as
part of a corresponding action (which for autorenewals is the expand recurring
cronjob).
* rm unused import
* Remove the "showAllOutput" property from the build
It doesn't work very well and has been superseded by "verboseTestOutput",
which does the same thing and more.
* Remove 'value' from RDAP link responses
* Change application type to rdap+json
* Merge remote-tracking branch 'origin/master' into removeValueRdap
* CR response
It is burdensome to have to maintain two sets of tools, one of which
contains a strict subset of functionalities of the other. All admins
should use the same tool and their ability to administer should be
restricted by the IAM roles they have, not the tools they use.
* Add a registry lock password to contacts
* enabled -> allowed
* Simple CR responses, still need to add tests
* Add a very simple hashing test file
* Allow setting of RL password rather than directly setting it
* Round out pw tests
* Include 'allowedToSet...' in registrar contact JSON
* Responses to CR
* fix the hardcoded tests
* Use null or empty rather than just null
* Add a generate_schema command
Add a generate_schema command to nomulus tool and add the necessary
instrumentation to EppResource and DomainBase to allow us to generate a
proof-of-concept schema for DomainBase.
* Added forgotten command description
* Revert "Added forgotten command description"
This reverts commit 09326cb8ac.
(checked in the wrong file)
* Added fixes requested during review
* Add a todo to start postgresql container
Add a todo to start a postgresql container from generate_sql_command.
* Clean up token generation
- Allow tokenLength of 0
- If specifying a token length of 0, throw an error if numTokens > 1
* Allow generation of 0-length strings
* Allow for --tokens option to generate specific tokens
* Revert String generators and disallow 0 'length' param
* Add verifyInput method and batch the listed tokens
* Check the number of tokens created
This PR created the new interface named TransactionManager which defines
methods to manage transaction. Also, the access to all transaction related
methods of Ofy.java are restricted to package private, and they will be exposed
by DatastoreTransactionManager which is the datastore implementation of
TransactionManager.
* Remove unused log argument
* Use the right accept-encoding
By default we request gzip and theoretically we'd decode it
automatically on our end but for some reason that's not working. I
tested this on Alpha and it worked
