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CU-8693pytr0_Results #48

Merged
merged 14 commits into from
Sep 26, 2024
Merged

CU-8693pytr0_Results #48

merged 14 commits into from
Sep 26, 2024

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mezgoodle
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@mezgoodle mezgoodle commented Sep 25, 2024

Summary by CodeRabbit

Release Notes

  • New Features

    • Introduced a "Show stats" option for subject statistics.
    • Added functionality to generate and send charts (bar and histogram) via messaging.
    • Implemented methods to retrieve solution counts and grades by subject.
    • Added a new function to fetch and display subject statistics with visual charts.
  • Bug Fixes

    • Updated relationship representation in the Solution model for clarity.

@mezgoodle mezgoodle self-assigned this Sep 25, 2024
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Task linked: CU-8693pytr0 Results

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coderabbitai bot commented Sep 25, 2024

Caution

Review failed

The pull request is closed.

Walkthrough

The changes involve enhancements to the Telegram bot's functionality, including the addition of a new option for showing subject statistics, the introduction of a chart generation module, and new database methods for retrieving solution counts and grades by subject. Additionally, a utility function for fetching and displaying subject statistics through charts has been added. A modification in the Solution class reflects a change in the relationship naming between solutions and subject tasks.

Changes

Files Change Summary
tgbot/handlers/teacher.py Added a new option "Show stats" with the name "subject_stats" in the get_subjects function.
tgbot/misc/charts.py Introduced a new module for chart generation with functionality to send bar charts and histograms, including methods for preparing and sending charts.
tgbot/misc/database.py Added two asynchronous methods: get_percentage_solutions_by_subject for counting solutions per task and get_grades_by_subject for retrieving grades related to a subject.
tgbot/misc/utils.py Added an asynchronous function subject_stats to retrieve and display statistics for a subject, including sending charts based on the retrieved data.
tgbot/models/models.py Updated the related_name attribute of the ForeignKeyField in the Solution class from "students" to "solutions".

Possibly related PRs

  • CU-8693pytr0_Results #48: The subject_stats function in utils.py utilizes the send_chart function from charts.py to send charts based on subject statistics, directly linking it to the main PR's chart generation functionality.

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Actionable comments posted: 5

📜 Review details

Configuration used: CodeRabbit UI
Review profile: ASSERTIVE

📥 Commits

Files that changed from the base of the PR and between 6249fbe and 6013a3d.

📒 Files selected for processing (5)
  • tgbot/handlers/teacher.py (1 hunks)
  • tgbot/misc/charts.py (1 hunks)
  • tgbot/misc/database.py (1 hunks)
  • tgbot/misc/utils.py (2 hunks)
  • tgbot/models/models.py (1 hunks)
🔇 Additional comments not posted (8)
tgbot/misc/charts.py (3)

1-8: LGTM: Imports are well-organized and relevant.

The imports are logically organized, with standard library imports separated from third-party imports. All imported modules are relevant to the chart generation functionality.


11-13: LGTM: ChartType enum is well-defined.

The ChartType enum provides a clear and type-safe way to specify chart types. Using an enum instead of strings reduces the chance of errors and improves code readability.


1-63: Overall, the new charts.py module is well-implemented and aligns with the PR objectives.

The introduction of this module enhances the Telegram bot's functionality by adding chart generation capabilities. The code is well-structured, uses appropriate libraries, and follows good coding practices. The suggestions provided in the review comments, if implemented, would further improve the robustness and efficiency of the code.

Key strengths:

  1. Clear and type-safe ChartType enum
  2. Well-structured asynchronous send_chart function
  3. Appropriate use of seaborn and matplotlib for chart generation

Areas for potential improvement:

  1. Optimizing file I/O in send_chart
  2. Enhancing error handling across all functions
  3. Making chart parameters more dynamic in prepare_hist_chart

Overall, this is a solid addition to the project that will provide valuable visualization capabilities for the Telegram bot.

tgbot/models/models.py (1)

80-80: Approve the change, but verify its impact on the codebase.

The modification of related_name from "students" to "solutions" is a good improvement. It better reflects the relationship between SubjectTask and Solution models.

However, this change might affect existing code that relies on the old related_name.

Please run the following script to check for any occurrences of the old related_name usage:

If the script returns any results, those occurrences will need to be updated to use solutions instead of students.

tgbot/misc/database.py (2)

108-113: 🛠️ Refactor suggestion

Improve efficiency and handle potential null grades

The method logic is correct, but there are opportunities for improvement:

  1. Efficiency: For large datasets, retrieving all solutions before extracting grades could be memory-intensive and slow.

  2. Null Handling: The method doesn't account for the possibility of null grades, which could lead to errors if grades can be null in your database schema.

Consider applying the following changes to address these issues:

 async def get_grades_by_subject(self, subject: Subject) -> list[int]:
-    solutions = await self.solution.filter(
-        subject_task__subject=subject
-    ).all()
-    return [solution.grade for solution in solutions]
+    return await self.solution.filter(
+        subject_task__subject=subject,
+        grade__isnull=False
+    ).values_list('grade', flat=True)

These changes will:

  1. Improve efficiency by only retrieving the grade values directly from the database.
  2. Exclude any null grades from the result set.

To ensure these changes don't introduce any regressions, please run the following verification script:

#!/bin/bash
# Description: Verify the usage of get_grades_by_subject method

# Test: Check if the method is used correctly elsewhere in the codebase
rg --type python -A 5 "get_grades_by_subject"

# Test: Verify that the return value is treated as a list of integers
rg --type python "get_grades_by_subject.*\s*=\s*" -A 3

94-106: ⚠️ Potential issue

Improve error handling and efficiency, and fix type hint

The method logic is sound, but there are a few areas for improvement:

  1. Error Handling: The method doesn't handle the case where there are no students, which could lead to a division by zero error.

  2. Efficiency: For large datasets, making separate database queries for each task's solutions could be inefficient.

  3. Type Hint: The return type hint suggests int values, but the actual values are floats.

Consider applying the following changes:

 async def get_count_solutions_by_subject(
     self, subject: Subject
-) -> dict[str, int]:
+) -> dict[str, float]:
     students = await self.student.filter(subjects=subject).count()
     tasks = await self.subjecttask.filter(subject=subject).all()
     stats = {}
     if students:
-        for task in tasks:
-            solutions = await self.solution.filter(
-                subject_task=task
-            ).count()
-            stats[task.name] = solutions / students
+        task_ids = [task.id for task in tasks]
+        solution_counts = await self.solution.filter(subject_task_id__in=task_ids).values('subject_task_id').annotate(count=Count('id'))
+        solution_dict = {sc['subject_task_id']: sc['count'] for sc in solution_counts}
+        for task in tasks:
+            stats[task.name] = solution_dict.get(task.id, 0) / students
     return stats

These changes will:

  1. Prevent division by zero when there are no students.
  2. Improve efficiency by fetching all solution counts in a single query.
  3. Correct the return type hint to reflect the actual float values.

To ensure these changes don't introduce any regressions, please run the following verification script:

tgbot/misc/utils.py (1)

198-198: LGTM: Correct addition to the utils dictionary.

The subject_stats function has been properly added to the utils dictionary, maintaining consistency with the existing pattern.

tgbot/handlers/teacher.py (1)

151-151: LGTM! Verify implementation and update documentation.

The addition of the "Show stats" option is consistent with the existing structure and aligns with the introduction of subject statistics functionality mentioned in the PR summary.

To ensure the completeness of this feature:

  1. Verify that the "subject_stats" functionality is implemented elsewhere in the codebase.
  2. Update any relevant documentation to reflect this new option for teachers.

Run the following script to check for the implementation of the "subject_stats" functionality:

If the implementation is not found, consider opening an issue to track the implementation of this feature.

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Actionable comments posted: 7

📜 Review details

Configuration used: CodeRabbit UI
Review profile: ASSERTIVE

📥 Commits

Files that changed from the base of the PR and between 6013a3d and f9bb181.

📒 Files selected for processing (2)
  • tgbot/misc/charts.py (1 hunks)
  • tgbot/misc/utils.py (2 hunks)
🔇 Additional comments (1)
tgbot/misc/charts.py (1)

1-15: Code structure and imports are appropriate

The imports and the ChartType enum are correctly defined and necessary for the module's functionality.

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@mezgoodle mezgoodle merged commit 3b28a0e into main Sep 26, 2024
2 checks passed
@mezgoodle mezgoodle deleted the CU-8693pytr0_Results branch September 26, 2024 08:34
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