Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update ddtrace requirement from ~=1.17 to ~=1.18 #745

Merged
merged 3 commits into from
Aug 16, 2023

Conversation

dependabot[bot]
Copy link
Contributor

@dependabot dependabot bot commented on behalf of github Aug 14, 2023

Updates the requirements on ddtrace to permit the latest version.

Release notes

Sourced from ddtrace's releases.

1.18.0

Prelude

Data Streams Monitoring (DSM) has added support for AWS Kinesis

Breaking change for CI Visibility: test.suite and test.full_name are changed, so any visualization or monitor that uses these fields is potentially affected.

New Features

  • CI Visibility: added tracing support for pytest-benchmark

  • ASM: The vulnerability report now includes a feature to scrub potentially sensitive information. This scrubbing process looks for common patterns, and it can be further expanded using environment variables such as DD_IAST_REDACTION_NAME_PATTERN and DD_IAST_REDACTION_VALUE_PATTERN. See the docs for more information.

  • DSM: Adds DSM support for AWS Kinesis. For information about DSM, see the official documentation. This change requires users to use botocore version 1.26.30 or later and update calls to Kinesis' PutRecord, PutRecords, and GetRecords calls with the StreamARN argument.

  • pytest: This change introduces an option to the pytest plugin to disable ddtrace: --no-ddtrace

  • CI visibility: Adds support for tracking repository URLs via the BITBUCKET_GIT_HTTP_ORIGIN environment variable

  • CI visibility: Adds CodeFresh integration

  • CI Visibility: Beta release of pytest support for the Intelligent Test Runner .

  • openai: tiktoken has been introduced as an optional package dependency to calculate the number of
    tokens used in a prompt for a streamed completion or streamed chat completion. To enable this feature, install ddtrace[openai] or tiktoken. If tiktoken is not installed, the prompt token count will be continue to be estimated instead.

  • Allows the use of a new backend for storing and exporting profiling data. This feature can be enabled for now by setting the DD_PROFILING_EXPORT_LIBDD_ENABLED environment variable to true. This should improve performance while decreasing memory overhead.

Known Issues

  • sqlalchemy: sqlalchemy rollbacks can intermittently cause deadlocks in some cases. If experiencing this issue, set DD_TRACE_SPAN_AGGREGATOR_RLOCK=True. After testing and feedback we intend to make True the default value.

Deprecation Notes

  • DD_CALL_BASIC_CONFIG will be removed in the upcoming 2.0.0 release. As an alternative to DD_CALL_BASIC_CONFIG, you can call logging.basicConfig() to configure logging in your application.
  • DD_LOG_FORMAT is deprecated and will be removed in 2.0.0. As an alternative, please follow the log injection formatting as provided in the log injection docs.

Bug Fixes

  • CI Visibility: fixes an issue where the CIVisibility client would raise an exception if it was started in agentless mode without the DD_API_KEY set

  • core: This fix moves cmake from install_requires to setup_requires.

  • data_streams: This change fixes a bug in the Kafka & SQS integrations in which the Data Streams product code incorrect set timestamps for statistics. This led to all points being submitted for the same timestamp (the start of the application).

  • dynamic instrumentation: handle null literal in conditions and expressions.

  • dynamic instrumentation: fixed a bug that prevented span decoration probes from being received and instrumented.

  • dynamic instrumentation: ensure that probes that fail to be instrumented because of invalid conditions/expressions are reported with status ERROR in the UI.

... (truncated)

Changelog

Sourced from ddtrace's changelog.

Changelog

0.44.0+

Changelogs are now managed automatically by reno and located at https://ddtrace.readthedocs.io/en/stable/release_notes.html.


0.43.0 (5/10/2020)

  • fix(django): avoid mixing str and non-str args for uri helper
  • fix(asgi): tag 500-level responses as errors
  • fix(asgi): set http status when exception raised
  • fix(rediscluster): support rediscluster==2.1.0
  • fix(asyncio): enable patch by default
  • fix(asyncio): patch base event loop class
  • fix(vertica): use strings in __all__
  • feat(core): backport contextvars
  • fix(sanic): fix patching for sanic async http server (#1659)
  • fix(flask): make template patching idempotent
  • fix(core): Do not rate limit log lines when in debug
  • fix(profiling): Fix a potential deadlock on profiler restart after fork()

0.42.0 (14/09/2020)

  • feat(django): add database_service_name config option
  • feat: add global service name configuration for dbapi integrations
  • fix(falcon): set span error for 5xx responses
  • fix(core): always store span_type as str on span
  • feat(pymongo): trace tcp connections
  • fix(logging): cast span_id and trace_id as string when adding to the record.
  • fix(gevent): patch ssl modules on import
  • feat(core): add trace_utils module
  • fix(core): expose http setting on global config
  • feat(core): consolidate fork checks

0.41.2 (25/08/2020)

  • Fix for an issue introduced by patching classes in the MRO of a Django View class (#1625).

0.41.1 (25/08/2020)

  • reintroduce wrapt for patching Django view methods. (#1622)

... (truncated)

Commits
  • fbfc8ba fix(lib-inject): allow all users to read and modify installed packages [backp...
  • b5b2b2c ci: skip riot runs based on diff from last successful run (second attempt) [b...
  • cf8de28 fix(profiling): add (one of?) the correct classes to lock profiling exporting...
  • bf1b3c2 ci: fix tornado flakyness (#6610)
  • 880065f chore: optional build testrunner (#6599)
  • 5183394 fix(tracer): fix sampling mechanism tag propagation bug (#6579)
  • b730396 chore(asm): raw body django tainting for IAST (#6601)
  • c249bda ci(pre-check): fix failing hatch check (#6598)
  • 2eef3c3 ci: make PR match patterns if unable to get changed files (#6609)
  • ebe18d8 ci: fix dynamic config on default branch (#6608)
  • Additional commits viewable in compare view

You can trigger a rebase of this PR by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Updates the requirements on [ddtrace](https://github.com/DataDog/dd-trace-py) to permit the latest version.
- [Release notes](https://github.com/DataDog/dd-trace-py/releases)
- [Changelog](https://github.com/DataDog/dd-trace-py/blob/1.x/CHANGELOG.md)
- [Commits](DataDog/dd-trace-py@v1.17.0...v1.18.0)

---
updated-dependencies:
- dependency-name: ddtrace
  dependency-type: direct:development
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot requested a review from a team as a code owner August 14, 2023 12:54
@dependabot dependabot bot requested a review from Fleid August 14, 2023 12:54
@cla-bot cla-bot bot added the cla:yes label Aug 14, 2023
@github-actions
Copy link
Contributor

Thank you for your pull request! We could not find a changelog entry for this change. For details on how to document a change, see the dbt-snowflake contributing guide.

@mikealfare mikealfare enabled auto-merge (squash) August 16, 2023 16:27
@mikealfare mikealfare merged commit 0176790 into main Aug 16, 2023
@mikealfare mikealfare deleted the dependabot/pip/ddtrace-approx-eq-1.18 branch August 16, 2023 16:55
philippe-boyd-maxa pushed a commit to maxa-ai/dbt-snowflake that referenced this pull request Nov 27, 2023
* Update ddtrace requirement from ~=1.17 to ~=1.18

Updates the requirements on [ddtrace](https://github.com/DataDog/dd-trace-py) to permit the latest version.
- [Release notes](https://github.com/DataDog/dd-trace-py/releases)
- [Changelog](https://github.com/DataDog/dd-trace-py/blob/1.x/CHANGELOG.md)
- [Commits](DataDog/dd-trace-py@v1.17.0...v1.18.0)

---
updated-dependencies:
- dependency-name: ddtrace
  dependency-type: direct:development
...

Signed-off-by: dependabot[bot] <[email protected]>

* Add automated changelog yaml from template for bot PR

---------

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Github Build Bot <[email protected]>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants