This service solves the problem of caching responses from address suggestion services. Services that provide address suggestions based on partial input have limitations on the number of requests, and when the limits are exceeded, they require switching to a paid subscription plan.
This service acts as a proxy by searching for data in its cache. If the data is not found, it sends requests to all available services and caches the responses for an extended period. This approach significantly reduces the number of requests and improves overall performance.
Available providers:
- Yandex Suggestion
Planned providers:
- DaData
- 2Gis
- Create and edit config file
cp config.example.toml config.toml - Edit docker-compose.yml
docker compose up
You may feel free to join the development or make feature requests for this service. I have created this service to resolve my own needs, but I have designed it with extensibility in mind, so everything should be easy.
If you want to contribute but don't know where to start, here are some implementation ideas:
- Add other suggestion providers, such as DaData or 2GIS
- Include additional caching services besides Redis, such as MongoDB or BadgerDB
- Devise an efficient method to select the best data from different providers
- Enhance the external API requests to take user location into account
Create .env file and edit settings
cp .env.example .envYou can start cache in docker and run application on your host:
docker compose up cache
clear; go run ./Or can start all via docker compose. Don't forget edit redis host in config.toml, if you run application via docker compose host must be "cache"
make build-docker && docker compose up