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🟡(change): cache organization response #11
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This is a benchmark review for experiment This pull request was cloned from 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_security_comments: benchmark
enable_tests_comments: benchmark
enable_comment_suggestions: benchmark
enable_functionality_review: benchmark
enable_pull_request_summary: benchmark
enable_review_guide: 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: benchmark
comment_area_model: benchmark
comment_validation_model: benchmark
comment_suggestion_model: benchmark
complexity_model: benchmark
docstrings_model: benchmark
functionality_model: benchmark
security_model: benchmark
tests_model: benchmark
pull_request_summary_model: benchmark
review_guide_model: benchmark
# The pull request dataset to run the experiment on
pull_request_dataset:
- https://github.com/kloudlite/web/pull/255
- https://github.com/kloudlite/helm-charts/pull/111
- https://github.com/womboai/edge-optimization-subnet/pull/2
- https://github.com/gdsfactory/gdsfactory/pull/3016
- https://github.com/gdsfactory/gplugins/pull/447
- https://github.com/gdsfactory/gdsfactory/pull/3017
- https://github.com/gdsfactory/kfactory/pull/435
- https://github.com/gdsfactory/kfactory/pull/436
- https://github.com/gdsfactory/gdsfactory/pull/3018
- https://github.com/gdsfactory/gdsfactory/pull/3020
- https://github.com/emoss08/Trenova/pull/275
- https://github.com/open-data/oc_search/pull/34
- https://github.com/albumentations-team/albumentations/pull/1854
- https://github.com/TeamKillerX/RyuzakiLib/pull/53
- https://github.com/nikhilbadyal/docker-py-revanced/pull/540
- https://github.com/Jaycelab/Jaycelab/pull/2
- https://github.com/Awesome-RJ/Skynet-System/pull/4
- https://github.com/hbmartin/overcast-to-sqlite/pull/28
- https://github.com/electionscience/vote.electionscience.org/pull/207
- https://github.com/electionscience/vote.electionscience.org/pull/208
- https://github.com/electionscience/vote.electionscience.org/pull/209
- https://github.com/szw0407/Bypass-SDU-Unified-Identity-Authentication-Platform-Device-Chesk/pull/1
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/55
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/56
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/57
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/58
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/59
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/61
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/62
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/63
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/64
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/67
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/68
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/69
- https://github.com/mnbf9rca/pydantic_tfl_api/pull/60
- https://github.com/ToolDelta/PluginMarket/pull/9
- https://github.com/duyet/clickhouse-monitoring/pull/313
- https://github.com/duyet/clickhouse-monitoring/pull/315
- https://github.com/duyet/clickhouse-monitoring/pull/314
- https://github.com/hasansezertasan/openapipages/pull/27
- https://github.com/dan5e3s6ares/a-real-mock-api/pull/7
- https://github.com/4DNucleome/PartSeg/pull/1165
- https://github.com/4DNucleome/PartSeg/pull/1166
- https://github.com/4DNucleome/PartSeg/pull/1167
- https://github.com/4DNucleome/PartSeg/pull/1168
- https://github.com/EspenAlbert/atlas-init/pull/17
- https://github.com/jschalk/jaar/pull/278
- https://github.com/jschalk/jaar/pull/279
- https://github.com/jschalk/jaar/pull/280
- https://github.com/bitcashorg/smartsale/pull/282
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: []
|
Reviewer's Guide by SourceryThis pull request introduces caching for organization data using Redis, removes the rainbow animation feature from the theme provider, and consolidates organization-related API endpoints and hooks. Additionally, it updates dependencies to include the Redis client library. File-Level Changes
Tips
|
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Hey @sourcery-ai-experiments-bot - I've reviewed your changes - here's some feedback:
Overall Comments:
- Consider encapsulating repetitive error-handling patterns for Redis operations into utility functions to make the code cleaner.
- There is a minor typo in the comment: 'Try toi fetch the organization from the cache.' It should be 'Try to fetch the organization from the cache.'
- The removal of the rainbow animation feature is a good cleanup, but it would be helpful to mention why this feature was removed in the PR description.
Here's what I looked at during the review
- 🟡 General issues: 1 issue found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟢 Complexity: all looks good
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment to tell me if it was helpful.
func (o *Organization) UnmarshalBinary(data []byte) error { | ||
return sonic.Unmarshal(data, o) | ||
} | ||
|
||
func (o *Organization) MarshalBinary() ([]byte, error) { |
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suggestion (performance): Use of sonic for JSON marshalling
The use of the sonic
library for JSON marshalling and unmarshalling is fine, but ensure that it is thoroughly tested for performance and compatibility with your existing data structures.
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Is this comment correct?
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Is this comment helpful?
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Is the comment type correct?
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Is the comment area correct?
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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
Organization is pulled quite a bit from the application, but should not be updated often.
Summary by Sourcery
This pull request introduces caching for organization data using Redis, removes the rainbow animation feature from the theme provider, and consolidates organization-related API endpoints and hooks. Additionally, it updates dependencies to include the new Redis client library.