Rentalog || Free Rent Management Web App For Landlords. With Rentalog, landlords can keep track of important information about their renters, including their names, addresses, and rental payment history.
🚀 Feature Request Robust Search and Filter Options:
Description
Implement a robust search and filter functionality that enables users to efficiently locate items or data sets from a larger collection. This feature would provide enhanced search capabilities, including auto-completion, multi-field filtering, and support for partial matches. It will be applicable to various types of data, including text, dates, and numerical values.
Problem Statement
Current search functionalities may not always meet the needs of users, especially when dealing with large datasets or specific query requirements. Users often need precise search options that can handle complex criteria, making it easier to quickly find relevant information. Without robust search and filter features, users can struggle with navigating through numerous items, leading to a frustrating experience.
Proposed Solution
The feature will allow users to:
Search with auto-complete suggestions to predict possible matches.
Apply multiple filters simultaneously (e.g., by date, category, or keyword).
Alternatives Considered
Basic Search: Only supports keyword searches without advanced filtering. This was deemed insufficient due to the limitations in handling complex queries.
Predefined Categories: Instead of search, users browse through categories, but this can be less efficient when specific items need to be found quickly.
Additional Context
Add any other context, screenshots, or details that would help explain your request.
Checklist
[ yes] I have checked the existing issues and this feature request is not a duplicate.
[yes ] I have starred this repository.
[ yes ] I am willing to help implement this feature (optional).
Additional context
Add any other context or screenshots about the feature request here.
🚀 Feature Request Robust Search and Filter Options:
Description
Implement a robust search and filter functionality that enables users to efficiently locate items or data sets from a larger collection. This feature would provide enhanced search capabilities, including auto-completion, multi-field filtering, and support for partial matches. It will be applicable to various types of data, including text, dates, and numerical values.
Problem Statement
Current search functionalities may not always meet the needs of users, especially when dealing with large datasets or specific query requirements. Users often need precise search options that can handle complex criteria, making it easier to quickly find relevant information. Without robust search and filter features, users can struggle with navigating through numerous items, leading to a frustrating experience.
Proposed Solution
The feature will allow users to:
Search with auto-complete suggestions to predict possible matches. Apply multiple filters simultaneously (e.g., by date, category, or keyword).
Alternatives Considered
Basic Search: Only supports keyword searches without advanced filtering. This was deemed insufficient due to the limitations in handling complex queries. Predefined Categories: Instead of search, users browse through categories, but this can be less efficient when specific items need to be found quickly.
Additional Context
Add any other context, screenshots, or details that would help explain your request.
Checklist
Additional context Add any other context or screenshots about the feature request here.