Part 2 #3
Part 2 #3
Conversation
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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/mraniki/iamlistening/pull/334
- https://github.com/mraniki/cefi/pull/475
- https://github.com/mraniki/MyLLM/pull/581
- https://github.com/mraniki/dxsp/pull/689
- https://github.com/jschalk/jaar/pull/239
- https://github.com/jschalk/jaar/pull/241
- https://github.com/jschalk/jaar/pull/242
- https://github.com/iptux-src/iptux/pull/620
- https://github.com/iptux-src/iptux/pull/622
- https://github.com/hacksider/Deep-Live-Cam/pull/46
- https://github.com/mnbf9rca/super_simple_tfl_status/pull/114
- https://github.com/mnbf9rca/super_simple_tfl_status/pull/115
- https://github.com/RockProfile/Django-deployment/pull/1
- https://github.com/hbmartin/graphviz2drawio/pull/83
- https://github.com/fairdataihub/codefair-app/pull/28
- https://github.com/totaldebug/atomic-calendar-revive/pull/1518
- https://github.com/iammiracle01/portfolio/pull/1
- https://github.com/iammiracle01/portfolio/pull/2
- https://github.com/iammiracle01/portfolio/pull/3
- https://github.com/supermario-ai/gpt-crawler/pull/1
- https://github.com/hbmartin/graphviz2drawio/pull/84
- https://github.com/hbmartin/graphviz2drawio/pull/85
- https://github.com/dreamerminsk/tasked/pull/85
- https://github.com/dreamerminsk/tasked/pull/86
- https://github.com/dreamerminsk/tasked/pull/84
- https://github.com/haalasz/fm-tools/pull/9
- https://github.com/haalasz/fm-tools/pull/10
- https://github.com/iptux-src/iptux/pull/619
- https://github.com/code-Harsh247/medsymptom/pull/1
- https://github.com/code-Harsh247/medsymptom/pull/2
- https://github.com/cpp-lln-lab/bidspm/pull/1263
- https://github.com/cpp-lln-lab/bidspm/pull/1264
- https://github.com/cpp-lln-lab/bidspm/pull/1265
- https://github.com/luiscarlop/Judge_AI/pull/22
- https://github.com/NoNormalCreeper/nonebot_plugin_wolfram/pull/6
- https://github.com/osama1998H/kalima/pull/39
- https://github.com/osama1998H/kalima/pull/40
- https://github.com/osama1998H/kalima/pull/41
- https://github.com/jackdewinter/pymarkdown/pull/1131
- https://github.com/Eliver-Salazar/PED/pull/12
- https://github.com/NextAlone/Nagram/pull/40
- https://github.com/strawberry-graphql/strawberry-django/pull/575
- https://github.com/strawberry-graphql/strawberry/pull/3558
- https://github.com/strawberry-graphql/strawberry/pull/3559
- https://github.com/Ruin2121/yahooquery/pull/9
- https://github.com/gdsfactory/gdsfactory/pull/2951
- https://github.com/gdsfactory/gdsfactory/pull/2954
- https://github.com/gdsfactory/gdsfactory/pull/2956
- https://github.com/gdsfactory/gdsfactory/pull/2957
- https://github.com/gdsfactory/cspdk/pull/51
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: []
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Reviewer's Guide by SourceryThis pull request introduces a new 'Class Distribution Tool' page for managing class distributions and refactors the 'create_classes' function for better clarity. It also updates various JSON files to standardize department references and adds new custom fields to the 'Department' doctype. File-Level Changes
Tips
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Hey @sourcery-ai-experiments-bot - I've reviewed your changes and they look great!
Here's what I looked at during the review
- 🟡 General issues: 8 issues 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.
| group_class_modules = json.loads(str(group_class_modules)) | ||
| for module in group_class_modules: | ||
| # Convert the group_class_doc to a dictionary | ||
| group_class_doc = json.loads(str(group_class_doc)) | ||
| # group_class_doc = json.loads(str(group_class_doc)) |
There was a problem hiding this comment.
suggestion: Remove commented-out code.
The commented-out line # group_class_doc = json.loads(str(group_class_doc)) should be removed if it is no longer needed to keep the codebase clean.
| # group_class_doc = json.loads(str(group_class_doc)) | |
| students = json.loads(str(students)) |
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
| students = json.loads(str(students)) | ||
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| create_class(group_class_doc["group_title"],module,group_class_doc["year"],group_class_doc["stage"],group_class_doc["semester"],group_class_doc["department"],students) | ||
| create_class(group_title, |
There was a problem hiding this comment.
suggestion: Consider using keyword arguments for better readability.
Using keyword arguments when calling create_class can improve readability and reduce the risk of passing arguments in the wrong order.
| create_class(group_title, | |
| create_class(group_title=group_title, | |
| module=module, | |
| year=year, | |
| stage=stage, | |
| semester=semester, | |
| department=department, | |
| students=students) | |
| return "Classes created successfully." |
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
| // const selected_modules = []; | ||
| // const department = frm.doc.department; | ||
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| // // Get selected modules | ||
| // frm.fields_dict.presented_modules.$wrapper.find('input[type="checkbox"]:checked').each(function () { | ||
| // selected_modules.push($(this).val()); | ||
| // }); | ||
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| // if (selected_modules.length === 0 || !department) { | ||
| // return; | ||
| // } | ||
| // generate_classes(frm); |
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suggestion: Remove commented-out code.
The commented-out code in the after_save function should be removed if it is no longer needed to keep the codebase clean.
| // const selected_modules = []; | |
| // const department = frm.doc.department; | |
| // // Get selected modules | |
| // frm.fields_dict.presented_modules.$wrapper.find('input[type="checkbox"]:checked').each(function () { | |
| // selected_modules.push($(this).val()); | |
| // }); | |
| // if (selected_modules.length === 0 || !department) { | |
| // return; | |
| // } | |
| // generate_classes(frm); | |
| after_save: function (frm) { | |
| }, |
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
| "label": "Graduation Year" | ||
| "fieldtype": "Select", | ||
| "label": "Graduation Year", | ||
| "options": "2030\n2029\n2028\n2027\n2026\n2025\n2024\n2023\n2022\n2021\n2020\n2019\n2018\n2017\n2016\n2015\n2014\n2013\n2012\n2011\n2010" |
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suggestion: Consider dynamic generation of graduation years.
Instead of hardcoding the graduation years, consider generating them dynamically to avoid frequent updates.
| "options": "2030\n2029\n2028\n2027\n2026\n2025\n2024\n2023\n2022\n2021\n2020\n2019\n2018\n2017\n2016\n2015\n2014\n2013\n2012\n2011\n2010" | |
| "options": (() => { | |
| const currentYear = new Date().getFullYear(); | |
| const startYear = 2010; | |
| return Array.from({ length: currentYear - startYear + 1 }, (_, i) => currentYear - i).join('\n'); | |
| })() |
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
| @@ -465,7 +465,8 @@ function createFormDialogNew(templateName) { | |||
| fields: [ | |||
| { fieldname: 'student_code', fieldtype: 'Data', in_list_view: 1, label: 'Student Code' }, | |||
| { fieldname: 'student_name', fieldtype: 'Link', options: 'Student', in_list_view: 1, label: 'Student Name' }, | |||
| { fieldname: 'department', fieldtype: 'Link', options: 'Faculty Department', label: 'Department' }, | |||
| // { fieldname: 'department', fieldtype: 'Link', options: 'Faculty Department', label: 'Department' }, | |||
| { fieldname: 'department', fieldtype: 'Link', options: 'Department', label: 'Department' }, | |||
There was a problem hiding this comment.
suggestion: Remove commented-out code.
The commented-out line // { fieldname: 'department', fieldtype: 'Link', options: 'Faculty Department', label: 'Department' }, should be removed if it is no longer needed to keep the codebase clean.
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
| @@ -14,7 +14,7 @@ frappe.pages['student-portal'].on_page_load = async function (wrapper) { | |||
| var $container = $(wrapper).find('.layout-main-section'); | |||
| $container.html(main_template); | |||
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| await get_current_user_student(); | |||
| // await get_current_user_student(); | |||
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suggestion: Remove commented-out code.
The commented-out line // await get_current_user_student(); should be removed if it is no longer needed to keep the codebase clean.
| // await get_current_user_student(); | |
| await get_classes(); | |
| await content_manager(); |
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
| fieldtype: 'Link', | ||
| fieldname: 'department', | ||
| label: 'Department', | ||
| // options: 'Faculty Department', |
There was a problem hiding this comment.
suggestion: Remove commented-out code.
The commented-out line // options: 'Faculty Department', should be removed if it is no longer needed to keep the codebase clean.
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
| callback: function (r) { | ||
| if (r.message) { | ||
| // Determine the number of tables and rows per table | ||
| let studentsPerTable = Math.ceil(r.message.length / 3); |
There was a problem hiding this comment.
suggestion: Consider making the number of tables configurable.
Instead of hardcoding the number of tables to 3, consider making it a configurable parameter to allow for flexibility.
| let studentsPerTable = Math.ceil(r.message.length / 3); | |
| let numberOfTables = 3; // This can be made configurable | |
| let studentsPerTable = Math.ceil(r.message.length / numberOfTables); |
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
Summary by Sourcery
This pull request introduces a new 'Class Distribution Tool' page for managing class distributions, refactors the 'create_classes' function for better clarity, and updates multiple JSON files to standardize department references.