Search analyzer

An web application to analyze search results of various keywords.

Core feature

Dashboard the view analytic results of each keyword search results.
File upload page to upload the list of keyword to analyze.
Basic authentication
Technologies used

Backend
Go programming language: A highly scalable but also productive programming language.
Echo: A high performant http library for go.
Ent: A Entity like ORM for go which is supported by Meta
Frontend
Htmx: high power tools to make HATEOAS application without compromising interactivity from SPA framworks like React, Vue,...
Bulma CSS: free, open source framework that provides ready-to-use frontend components that you can easily combine to build responsive web interfaces.
Alpine JS: Minimal and lightweight frontend framework.

After checking out the repository, from within the root, start the Docker containers for the database and cache by executing make up:
```
git clone git@github.com:thiennc1107/search-analyzer.git
cd search-analyzer
make up
```
After setup the environment, you can start the application by executing make run, by default, the application should be able to access in browser at localhost:8000. The database scheme will also be automatically migrated.
If you want to reset all data, execute make reset

Configuration

The config package provides a flexible, extensible way to store all configuration for the application. Configuration is added to the Container as a Service, making it accessible across most of the application.

Be sure to review and adjust all of the default configuration values provided in config/config.yaml.