This allows us to inject an optional once, in FlowRunner, and
inject a non-null value in the flows (not done yet, after this
goes in).
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=133130485
Getting rid of builder boilerplate makes my heart sing. Since we can no
longer @Inject the Builder() constructor, this change adds a provider
in WhiteboxModule that calls a special builderForRequest() factory method,
which gets passed a request ID and Clock and preserves the existing
EppMetric magic that sets the start and end time for you.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132714432
This disentangles GaeUserCredentials and UserService, which lets us remove a
bunch of hacky and brittle code from LoginFlowViaConsoleTest.
Previously, GaeUserCredentials was constructed for a user, but then was still
directly calling UserService to check if the user was an admin. UserService
can be adjusted in tests (via AppEngineRule / LocalServiceTestHelper) but it's
a pain, especially to do dynamically within a single test file. The hacky
code in LoginFlowViaConsoleTest was working around that restriction.
With this CL, you can pass into GaeUserCredentials whether the user is an
admin or not (for testing) or construct one directly from a UserService object
(for production, and for convenience in tests using an AppEngineRule user).
Note that I also changed EppConsoleAction to @Inject UserService.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132696391
Followup to [] Mocking shouldn't be used when you can use the real
implementation just as easily (and more robustly) - in particular, you almost
never want to mock a value type.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132586826
This change refactors EppMetrics from the mutable self-exporting thing that it
was into a real value type EppMetric, and delegates exporting functionality to the
BigQueryMetricsEnqueuer.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132387660
This is one of a series of CLs which will refactor EppMetrics into a value type
and Metrics into a stateless class which will have an export(EppMetrics requestDetails)
method to export EPP metrics in a stateless way. Once EppMetrics is a value
type, I will create a new StackdriverEppMetrics that will also accept the value
type via an incrementRequests(EppMetrics requestDetails), allowing us to
monitor EPP via BigQuery and Stackdriver with minimum code duplication.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=131973288
We've been using the very fragile newline-delimited legacy logging
statement in FlowRunner for ICANN reporting for a long time. While
this is bad in a few ways, the worst is that the parsing of this
logging statement is extremely fragile (e.g. adding/removing fields
can easily break the parsing). This is in fact part of what broke the
ExportLogsServlet parsing last fall ([] and forced us to
recover by manually parsing the log statement (and its XML) in
BigQuery. It also broke again in [] where we were relying
on matching the logging classname, since matching on 'EPP Command'
was considered insufficiently narrow.
This introduces a new JSON-format logging statement to FlowRunner
that fixes both of these problems:
1) it replaces the newline-delimited "format" with a JSON-based
format, so that we can add new fields much more easily and
reliably support logging more structured data
2) it replaces the short 'EPP Command' signature with a much more
targeted 'EPP-REPORTING-LOG-SIGNATURE' signature so that we can
use that alone for matching, rather than relying on the class
name in the log message
What this doesn't fix is the fact that we still need to parse the
XML in BigQuery; we should fix this by logging the parts of the XML
that ICANN reporting needs explicitly, but that'll be a subsequent
change, since while the existing approach is gross, it's actually
much less fragile than just matching the log statement itself.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=125902976
