[Feature]: Implement monthly_summary() in expense_tracker.py

[Aribafatma]

What problem does this solve?

Currently, the monthly_summary() function is just a placeholder (pass). Users cannot view their monthly expense breakdown, which limits the usefulness of the expense tracker. Without this feature, there’s no way to analyze spending patterns or categories over time.

Proposed solution

Implement logic in monthly_summary() to:

Read expense entries from the CSV file.

Filter entries by the current month.

Aggregate totals by category.

Return or display a structured summary (e.g., dictionary, table, or formatted output).

Alternatives considered

No response

Which part of the app does this affect?

Testing

Estimated complexity

Medium (one function and one template change)

Before submitting

• I searched existing issues and this has not been requested before.
• This change would benefit contributors beyond my own use case.

[github-actions]

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[Aribafatma]

hi @komalharshita ,I would like to work on this issue. Please assign it to me under GSSoC26/opensource contribution.

[kotebhakti30]

Hi @komalharshita, I would like to work on this issue under GSSoC'26.
/claim
/assign

Description

After reviewing the issue, I understand that the monthly_summary() function in expense_tracker.py is currently just a placeholder (pass) and needs to be fully implemented so users can view their monthly expense breakdown aggregated by category.

Proposed Fix

Read expense entries from the CSV file inside monthly_summary() using Python's csv module
Filter entries by matching the month and year of each entry's date against the current month using datetime
Aggregate the filtered entries by category using a dictionary to accumulate totals per category
Return or display a structured summary — either a formatted dictionary, a printed table, or a structured output — showing total spending per category for the current month
Handle edge cases such as an empty CSV file, missing date fields, or malformed entries gracefully without crashing

Expected Outcome

monthly_summary() correctly reads, filters, and aggregates expense data from the CSV file
Users can view a clear breakdown of their spending by category for the current month
The function handles edge cases gracefully without errors
All changes are confined to expense_tracker.py with no breaking changes to existing functionality

Please assign this issue to me. Thank you!