ec158c0cdf
This PR includes: - Automatic build & push to docker hub when pushing to master, or when triggering a workflow dispatch on master - Automatic docker build on pull requests to validate changes - Updated the docker-compose.yaml to use the container images, rather than building locally - Added support for defining backend settings using the container environment -> All options defined in config.toml can now be loaded instead from the environment -> Order of precedence is environment definition, config.toml, and finally default inline configuration defined in config.ts - Added support for defining frontend settings using the container environment -> Added a dynamic api route to load the container environment definitions on the server, and provide them to the client -> Added a library function to fetch from the newly created API, caching the response in the session storage -> Modified existing calls to `process.env` to use the new library function -> Left the initial statically compiled environment definitions in place as a backup definition, if no environment definitions are provided Remaining tasks todo before able to merge to [ItzCrazyKns/Perplexica](https://github.com/ItzCrazyKns/Perplexica): - Add secret definitions for `DOCKER_USERNAME` and `DOCKER_PASSWORD` to [ItzCrazyKns/Perplexica](https://github.com/ItzCrazyKns/Perplexica) to ensure push to dockerhub works on base branch - Update documentation with information about changes
23 lines
712 B
TypeScript
23 lines
712 B
TypeScript
import { Message } from '@/components/ChatWindow';
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import { getServerEnv } from '@/lib/serverEnvironment';
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export const getSuggestions = async (chatHisory: Message[]) => {
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const chatModel = localStorage.getItem('chatModel');
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const chatModelProvider = localStorage.getItem('chatModelProvider');
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const res = await fetch(`${await getServerEnv("BACKEND_API_URL")}/suggestions`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({
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chat_history: chatHisory,
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chat_model: chatModel,
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chat_model_provider: chatModelProvider,
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}),
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});
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const data = (await res.json()) as { suggestions: string[] };
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return data.suggestions;
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};
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