LibreChat/packages/data-provider/specs/parsers.spec.ts

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🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863) * wip: first pass for azure endpoint schema * refactor: azure config to return groupMap and modelConfigMap * wip: naming and schema changes * refactor(errorsToString): move to data-provider * feat: rename to azureGroups, add additional tests, tests all expected outcomes, return errors * feat(AppService): load Azure groups * refactor(azure): use imported types, write `mapModelToAzureConfig` * refactor: move `extractEnvVariable` to data-provider * refactor(validateAzureGroups): throw on duplicate groups or models; feat(mapModelToAzureConfig): throw if env vars not present, add tests * refactor(AppService): ensure each model is properly configured on startup * refactor: deprecate azureOpenAI environment variables in favor of librechat.yaml config * feat: use helper functions to handle and order enabled/default endpoints; initialize azureOpenAI from config file * refactor: redefine types as well as load azureOpenAI models from config file * chore(ci): fix test description naming * feat(azureOpenAI): use validated model grouping for request authentication * chore: bump data-provider following rebase * chore: bump config file version noting significant changes * feat: add title options and switch azure configs for titling and vision requests * feat: enable azure plugins from config file * fix(ci): pass tests * chore(.env.example): mark `PLUGINS_USE_AZURE` as deprecated * fix(fetchModels): early return if apiKey not passed * chore: fix azure config typing * refactor(mapModelToAzureConfig): return baseURL and headers as well as azureOptions * feat(createLLM): use `azureOpenAIBasePath` * feat(parsers): resolveHeaders * refactor(extractBaseURL): handle invalid input * feat(OpenAIClient): handle headers and baseURL for azureConfig * fix(ci): pass `OpenAIClient` tests * chore: extract env var for azureOpenAI group config, baseURL * docs: azureOpenAI config setup docs * feat: safe check of potential conflicting env vars that map to unique placeholders * fix: reset apiKey when model switches from originally requested model (vision or title) * chore: linting * docs: CONFIG_PATH notes in custom_config.md
2024-02-26 14:12:25 -05:00
import { extractEnvVariable } from '../src/parsers';
describe('extractEnvVariable', () => {
const originalEnv = process.env;
beforeEach(() => {
jest.resetModules();
process.env = { ...originalEnv };
});
afterAll(() => {
process.env = originalEnv;
});
test('should return the value of the environment variable', () => {
process.env.TEST_VAR = 'test_value';
expect(extractEnvVariable('${TEST_VAR}')).toBe('test_value');
});
test('should return the original string if the envrionment variable is not defined correctly', () => {
process.env.TEST_VAR = 'test_value';
expect(extractEnvVariable('${ TEST_VAR }')).toBe('${ TEST_VAR }');
});
test('should return the original string if environment variable is not set', () => {
expect(extractEnvVariable('${NON_EXISTENT_VAR}')).toBe('${NON_EXISTENT_VAR}');
});
test('should return the original string if it does not contain an environment variable', () => {
expect(extractEnvVariable('some_string')).toBe('some_string');
});
test('should handle empty strings', () => {
expect(extractEnvVariable('')).toBe('');
});
test('should handle strings without variable format', () => {
expect(extractEnvVariable('no_var_here')).toBe('no_var_here');
});
test('should not process multiple variable formats', () => {
process.env.FIRST_VAR = 'first';
process.env.SECOND_VAR = 'second';
expect(extractEnvVariable('${FIRST_VAR} and ${SECOND_VAR}')).toBe(
'${FIRST_VAR} and ${SECOND_VAR}',
);
});
});