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🟡(change): cache organization response #11

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@sourcery-ai-experiments-bot sourcery-ai-experiments-bot commented Jul 24, 2024

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.

  • New Features:
    • Introduced caching for organization data using Redis to reduce database load and improve response times.
  • Enhancements:
    • Removed the rainbow animation feature from the theme provider and related components.
    • Consolidated organization-related API endpoints and hooks for better consistency and maintainability.
  • Chores:
    • Updated dependencies in go.mod to include new Redis client library.

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This is a benchmark review for experiment review_of_reviews_20240724.
Run ID: review_of_reviews_20240724/benchmark_2024-07-24T00-19-03_v1-21-0-35-g39686f12d.

This pull request was cloned from https://github.com/emoss08/Trenova/pull/275. (Note: the URL is not a link to avoid triggering a notification on the original pull request.)

Experiment configuration
review_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: []

@SourceryAI
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SourceryAI commented Jul 24, 2024

Reviewer's Guide 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 Redis client library.

File-Level Changes

Files Changes
internal/api/services/organization.service.go
internal/server/server.go
pkg/redis/client.go
Introduced Redis caching for organization data, including client initialization and cache management methods.
web/frontend/src/components/ui/theme-provider.tsx
web/frontend/src/components/layout/user-avatar-menu.tsx
web/frontend/src/components/layout/topbar.tsx
Removed the rainbow animation feature from the theme provider and related components.
web/frontend/src/hooks/useQueries.ts
web/frontend/src/services/OrganizationRequestService.ts
web/frontend/src/components/layout/logo.tsx
web/frontend/src/pages/admin/Dashboard.tsx
Consolidated organization-related API endpoints and hooks to streamline data fetching and handling.

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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

LangSmith trace

Help me be more useful! Please click 👍 or 👎 on each comment to tell me if it was helpful.

Comment on lines +109 to +113
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

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3 participants