feat: Update bucketing library#2
Conversation
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This is an experiment review for experiment Experiment configurationreview_config:
# User configuration for the review
# - benchmark - use the user config from the benchmark reviews
# - <value> - use the value directly
user_review_config:
enable_ai_review: true
enable_rule_comments: false
enable_complexity_comments: benchmark
enable_docstring_comments: benchmark
enable_security_comments: benchmark
enable_tests_comments: benchmark
enable_comment_suggestions: benchmark
enable_functionality_review: benchmark
enable_approvals: true
ai_review_config:
# The model responses to use for the experiment
# - benchmark - use the model responses from the benchmark reviews
# - llm - call the language model to generate responses
model_responses:
comments_model: llm
comment_validation_model: llm
comment_suggestion_model: llm
complexity_model: llm
docstrings_model: llm
functionality_model: llm
security_model: llm
tests_model: llm
# The pull request dataset to run the experiment on
pull_request_dataset:
- https://github.com/adbar/shoten/pull/7
- https://github.com/javierriveracastro/betteroll-swade/pull/715
- https://github.com/nbhirud/system_update/pull/38
- https://github.com/nbhirud/system_update/pull/39
- https://github.com/nbhirud/system_update/pull/40
- https://github.com/AdamOswald/PKHeX/pull/9
- https://github.com/okisdev/ChatChat/pull/326
- https://github.com/DevCycleHQ/js-sdks/pull/856
- https://github.com/DevCycleHQ/python-server-sdk/pull/67
- https://github.com/duyet/clickhouse-monitoring/pull/236
- https://github.com/Nuitka/Nuitka/pull/2855
- https://github.com/xbinner18/Japanese-X-Userbot/pull/1
- https://github.com/xbinner18/Japanese-X-Userbot/pull/2
- https://github.com/xbinner18/Japanese-X-Userbot/pull/3
- https://github.com/Remi-Gau/reproschema-demo-protocol/pull/1
- https://github.com/badd9yang/StyleSVC/pull/1
- https://github.com/nuxeo/nuxeo-drive/pull/4871
- https://github.com/kevingreenman/chemprop/pull/15
- https://github.com/kevingreenman/chemprop/pull/16
- https://github.com/allthingslinux/tux/pull/222
- https://github.com/kloudlite/operator/pull/187
- https://github.com/gdsfactory/gdsfactory/pull/2739
- https://github.com/gdsfactory/gdsfactory/pull/2741
- https://github.com/gdsfactory/gdsfactory/pull/2742
- https://github.com/gdsfactory/gdsfactory/pull/2743
- https://github.com/gdsfactory/gdsfactory/pull/2745
- https://github.com/gdsfactory/gdsfactory/pull/2746
- https://github.com/gdsfactory/ubc/pull/382
- https://github.com/gdsfactory/gdsfactory/pull/2747
- https://github.com/gdsfactory/gplugins/pull/401
- https://github.com/gdsfactory/gdsfactory/pull/2748
- https://github.com/osama1998H/spms/pull/60
- https://github.com/osama1998H/spms/pull/61
- https://github.com/osama1998H/spms/pull/62
- https://github.com/Stagietechs/data.home-assistant/pull/1
- https://github.com/erxes/erxes/pull/5206
- https://github.com/wearypossum4770/vue-times-news/pull/1
- https://github.com/wearypossum4770/vue-times-news/pull/2
- https://github.com/wearypossum4770/vue-times-news/pull/3
- https://github.com/W-zrd/unishare_mobile/pull/15
- https://github.com/W-zrd/unishare_mobile/pull/16
- https://github.com/elifdy/omopsurvey/pull/3
- https://github.com/phenobarbital/asyncdb/pull/1097
- https://github.com/Xmaster6y/lczerolens/pull/17
- https://github.com/PickwickSoft/pystreamapi/pull/91
- https://github.com/martimlobao/regybox/pull/113
- https://github.com/phenobarbital/asyncdb/pull/1091
- https://github.com/phenobarbital/asyncdb/pull/1092
- https://github.com/phenobarbital/asyncdb/pull/1093
- https://github.com/christian80gabi/skills-github-pages/pull/1
review_comment_labels:
- label: correct
question: Is this comment correct?
- label: helpful
question: Is this comment helpful?
- label: comment-type
question: Is the comment type correct?
- label: comment-area
question: Is the comment area correct?
- label: llm-test
question: |
What type of LLM test could this comment become?
- 👍 - this comment is really good/important and we should always make it
- 👎 - this comment is really bad and we should never make it
- no reaction - don't turn this comment into an LLM test
# Benchmark reviews generated by running
# python -m scripts.experiment benchmark <experiment_name>
benchmark_reviews:
- dataset_pull_request: https://github.com/adbar/shoten/pull/7
review_pull_request: https://github.com/sourcery-ai-experiments/shoten/pull/1
- dataset_pull_request: https://github.com/javierriveracastro/betteroll-swade/pull/715
review_pull_request: https://github.com/sourcery-ai-experiments/betteroll-swade/pull/1
- dataset_pull_request: https://github.com/nbhirud/system_update/pull/38
review_pull_request: https://github.com/sourcery-ai-experiments/system_update/pull/20
- dataset_pull_request: https://github.com/nbhirud/system_update/pull/39
review_pull_request: https://github.com/sourcery-ai-experiments/system_update/pull/19
- dataset_pull_request: https://github.com/nbhirud/system_update/pull/40
review_pull_request: https://github.com/sourcery-ai-experiments/system_update/pull/18
- dataset_pull_request: https://github.com/DevCycleHQ/js-sdks/pull/856
review_pull_request: https://github.com/sourcery-ai-experiments/js-sdks/pull/2
- dataset_pull_request: https://github.com/DevCycleHQ/python-server-sdk/pull/67
review_pull_request: https://github.com/sourcery-ai-experiments/python-server-sdk/pull/1
- dataset_pull_request: https://github.com/duyet/clickhouse-monitoring/pull/236
review_pull_request: https://github.com/sourcery-ai-experiments/clickhouse-monitoring/pull/1
- dataset_pull_request: https://github.com/xbinner18/Japanese-X-Userbot/pull/1
review_pull_request: https://github.com/sourcery-ai-experiments/Japanese-X-Userbot/pull/1
- dataset_pull_request: https://github.com/xbinner18/Japanese-X-Userbot/pull/2
review_pull_request: https://github.com/sourcery-ai-experiments/Japanese-X-Userbot/pull/2
- dataset_pull_request: https://github.com/xbinner18/Japanese-X-Userbot/pull/3
review_pull_request: https://github.com/sourcery-ai-experiments/Japanese-X-Userbot/pull/3
- dataset_pull_request: https://github.com/kevingreenman/chemprop/pull/15
review_pull_request: https://github.com/sourcery-ai-experiments/chemprop/pull/1
- dataset_pull_request: https://github.com/kevingreenman/chemprop/pull/16
review_pull_request: https://github.com/sourcery-ai-experiments/chemprop/pull/2
- dataset_pull_request: https://github.com/allthingslinux/tux/pull/222
review_pull_request: https://github.com/sourcery-ai-experiments/tux/pull/3
- dataset_pull_request: https://github.com/kloudlite/operator/pull/187
review_pull_request: https://github.com/sourcery-ai-experiments/operator/pull/20
- dataset_pull_request: https://github.com/Stagietechs/data.home-assistant/pull/1
review_pull_request: https://github.com/sourcery-ai-experiments/data.home-assistant/pull/1
- dataset_pull_request: https://github.com/W-zrd/unishare_mobile/pull/16
review_pull_request: https://github.com/sourcery-ai-experiments/unishare_mobile/pull/23
- dataset_pull_request: https://github.com/phenobarbital/asyncdb/pull/1092
review_pull_request: https://github.com/sourcery-ai-experiments/asyncdb/pull/3
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Hey @Hellebore - I've reviewed your changes and they look great!
Here's what I looked at during the review
- 🟡 General issues: 2 issues found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟢 Complexity: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment to tell me if it was helpful.
| @staticmethod | ||
| def create_user_from_context(context: EvaluationContext) -> "DevCycleUser": | ||
| def create_user_from_context( | ||
| context: Optional[EvaluationContext], |
There was a problem hiding this comment.
suggestion: Consider adding a type hint for the return value.
Adding a type hint for the return value of the create_user_from_context method would improve code readability and help with static analysis.
| context: Optional[EvaluationContext], | |
| from typing import Optional | |
| @staticmethod | |
| def create_user_from_context( | |
| context: Optional[EvaluationContext], | |
| ) -> "DevCycleUser": |
There was a problem hiding this comment.
What type of LLM test could this comment become?
- 👍 - this comment is really good/important and we should always make it
- 👎 - this comment is really bad and we should never make it
- no reaction - don't turn this comment into an LLM test
| if "edgeDB" in data | ||
| else None, | ||
| opt_in=OptInSettings.from_json(data["optIn"]) if "optIn" in data else None, | ||
| disable_passthrough_rollouts=data.get("disablePassthroughRollouts", False), |
There was a problem hiding this comment.
question: Default value for disable_passthrough_rollouts might be misleading.
Setting the default value of disable_passthrough_rollouts to False might be misleading if the absence of this key should imply a different default behavior. Consider explicitly documenting this behavior or revisiting the default value.
There was a problem hiding this comment.
What type of LLM test could this comment become?
- 👍 - this comment is really good/important and we should always make it
- 👎 - this comment is really bad and we should never make it
- no reaction - don't turn this comment into an LLM test
No description provided.