Update dev/update_changelog.py to automatically add category to entries in CHANGELOG.md

[harupy]

Signed-off-by: harupy hkawamura0130@gmail.com

Related Issues/PRs

#xxx

What changes are proposed in this pull request?

Update dev/update_changelog.py to automatically add category to entries in CHANGELOG.md.

How is this patch tested?

• I have written tests (not required for typo or doc fix) and confirmed the proposed feature/bug-fix/change works.

Does this PR change the documentation?

• No. You can skip the rest of this section.
• Yes. Make sure the changed pages / sections render correctly by following the steps below.

1. Click the Details link on the Preview docs check.
2. Find the changed pages / sections and make sure they render correctly.

Release Notes

Is this a user-facing change?

• No. You can skip the rest of this section.
• Yes. Give a description of this change to be included in the release notes for MLflow users.

(Details in 1-2 sentences. You can just refer to another PR with a description if this PR is part of a larger change.)

What component(s), interfaces, languages, and integrations does this PR affect?

Components

• area/artifacts: Artifact stores and artifact logging
• area/build: Build and test infrastructure for MLflow
• area/docs: MLflow documentation pages
• area/examples: Example code
• area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
• area/models: MLmodel format, model serialization/deserialization, flavors
• area/pipelines: Pipelines, Pipeline APIs, Pipeline configs, Pipeline Templates
• area/projects: MLproject format, project running backends
• area/scoring: MLflow Model server, model deployment tools, Spark UDFs
• area/server-infra: MLflow Tracking server backend
• area/tracking: Tracking Service, tracking client APIs, autologging

Interface

• area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
• area/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Models
• area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry
• area/windows: Windows support

Language

• language/r: R APIs and clients
• language/java: Java APIs and clients
• language/new: Proposals for new client languages

Integrations

• integrations/azure: Azure and Azure ML integrations
• integrations/sagemaker: SageMaker integrations
• integrations/databricks: Databricks integrations

How should the PR be classified in the release notes? Choose one:

• rn/breaking-change - The PR will be mentioned in the "Breaking Changes" section
• rn/none - No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" section
• rn/feature - A new user-facing feature worth mentioning in the release notes
• rn/bug-fix - A user-facing bug fix worth mentioning in the release notes
• rn/documentation - A user-facing documentation change worth mentioning in the release notes

[harupy]

Test:

> python dev/update_changelog.py --prev-branch branch-1.28 --release-version 1.29.0 --remote upstream
> cat CHANGELOG.md

Output:

# CHANGELOG

## 1.29.0 (2022-09-15)

MLflow 1.29.0 includes several major features and improvements

Features:

- [Build / Docker] Tracking server image (#6731, @oojo12)
- [Build / Docker] [CLI] [FR] Add new CLI command for generating Dockerfile (issue #6532) (#6591, @anuarkaliyev23)
- [Tracking] Update RunInfo, CreateRun and UpdateRun infos to accept run names (#6769, @apurva-koti)
- [UI] Feature/csv data preview (#6567, @nnethery)
- [Model Registry / Models] Wheeled Model (#6586, @arjundc-db)
- [Tracking] Add generated run name to create run backend stores if not supplied (#6736, @BenWilson2)
- [Tracking] Add `pos_label` to `mlflow.evaluate` (#6696, @harupy)
- [Models] Add support for Decimal object to Double cast in ML Flow (#6600, @shitaoli-db)
- [] Set production variant name (#6486, @nfarley-soaren)
- [Models] feat: add utility for signature validation of logged model to dataset (#6494, @serena-ruan)
- [Models] Improve flexibility of PyFuncModel prediction (#6631, @skylarbpayne)
- [Tracking] adding load_text, load_image, load_dict to fluent.py (#6475, @subramaniam02)
- [] Move data capture config to end (#6621, @dbczumar)
- [Scoring] feat(scoring_server): add /health endpoint (#6574, @gabriel-milan)
- [Models] [Model Validation] Land model validation feature (#6582, @jerrylian-db)
- [Models] Add confs for metric prefix and metric dataset info to mlflow.evaluate(), rename accuracy to accuracy_score (#6593, @dbczumar)
- [UI] Make URLs clickable in the MLflow Tracking UI (#6526, @marijncv)
- [R / Tracking] Add mlflow_search_experiments API to R client (#6576, @dbczumar)
- [Pipelines] [ML-22889] Get artifact cli (#6517, @prithvikannan)
- [Java / Tracking] Add searchExperiments API to Java client, deprecate listExperiments (#6561, @dbczumar)
- [Build] feat: Docker development scripts and readme (#6465, @hubertzub-db)
- [Pipelines] Add Pipelines step option to skip step profiling (#6456, @apurva-koti)
- [Pipelines / UI] CLI command suggestion after running the pipeline (#6376, @hubertzub-db)
- [] Add data capture config to sagemaker (#6423, @jonwiggins)

Bug fixes:

- [Build] Bump min python versions in dev setup script (#6727, @BenWilson2)
- [Models] Scope Databricks inferred pip requirements to modules (#6722, @dbczumar)
- [] Remove duplicate `_SPARK_MODEL_PATH_SUB` (#6683, @gwy1995)
- [Models] Fix bug when reloading modules (#6647, @Jooakim)
- [Tracking] Make run & experiment deletion / restoration idempotent (#6641, @dbczumar)
- [Tracking] [bug-fix] Removing the fixed width css for the experimentlist container (#6569, @sunishsheth2009)
- [Models] Don't use mlflowdbfs if dbutils is unavailable (#6508, @dbczumar)
- [Artifacts] Implement _download_file in hdfs_artifact_repo (#6482, @shidianshifen)

Documentation updates:

- [Docs / Scoring] Deprecate mlflow.sagemaker.deploy() & mlflow.sagemaker.delete() (#6651, @dbczumar)
- [Docs] Add soft delete in (#6637, @ninabacc-db)
- [Tracking] Stabilize SearchExperiments API (#6551, @dbczumar)
- [Docs] Update documentation for model version `run_link` field (#6632, @arpitjasa-db)
- [Model Registry / Tracking] Deprecate ListExperiments, ListRegisteredModels, ListRunInfos APIs (#6550, @dbczumar)

Small bug fixes and documentation updates:

#6777, @aviralsharma07; #6665, #6743, #6573, @liangz1; #6784, @apurva-koti; #6772, #6745, #6762, #6760, #6761, #6741, #6725, #6720, #6666, #6708, #6717, #6704, #6711, #6710, #6706, #6699, #6700, #6702, #6701, #6685, #6664, #6644, #6653, #6629, #6639, #6624, #6565, #6558, #6557, #6552, #6549, #6534, #6533, #6516, #6514, #6506, #6509, #6505, #6492, #6490, #6478, #6481, #6464, #6463, #6460, #6461, @harupy; #6753, #6751, @mingyu89; #6737, #6612, #6595, @sunishsheth2009; #6694, @marijncv; #6690, #6455, #6484, @kriscon-db; #6689, @hubertzub-db; #6729, @jerrylian-db; #6721, @WeichenXu123; #6718, #6668, #6663, #6547, #6474, #6452, @dbczumar; #6555, #6584, #6543, #6542, #6521, @dsgibbons; #6687, #6623, @shraddhafalane; #6634, #6596, #6563, #6495, @prithvikannan; #6571, @smurching; #6661, @bbarnes52; #6648, @BenWilson2; #6630, #6483, @serena-ruan; #6642, @thinkall; #6614, #6597, @jinzhang21; #6457, @cnphil; #6570, #6559, @kumaryogesh17; #6560, #6540, @iamthen0ise; #6544, @Monkero; #6438, @ahlag; #3292, @dolfinus

[harupy]

Suggested change

	filter(lambda l: l.split("/")[0] in ("area", "language"), self.labels),
	filter(lambda l: l.split("/")[0] in ("area", "language", "integrations"), self.labels),

[WeichenXu123]

LGTM. Thanks!

[dbczumar]

LGTM!