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import {z} from 'zod';
import {
ExecutePlugin,
PluginParams,
ConfigParams,
ObservationParams,
} from '@grnsft/if-core/types';
import {validate} from '../../util/validations';
import {CommonGenerator} from './helpers/common-generator';
import {RandIntGenerator} from './helpers/rand-int-generator';
import {Generator} from './interfaces/index';
export const MockObservations = (globalConfig: ConfigParams): ExecutePlugin => {
const metadata = {
kind: 'execute',
};
/**
* Generate sets of mocked observations based on config.
*/
const execute = (inputs: PluginParams[]) => {
const {duration, timeBuckets, components, generators} =
generateParamsFromConfig();
const generatorToHistory = new Map<Generator, number[]>();
generators.forEach(generator => {
generatorToHistory.set(generator, []);
});
const defaults = inputs && inputs[0];
return Object.entries(components).reduce((acc: PluginParams[], item) => {
const component = item[1];
timeBuckets.forEach(timeBucket => {
const observation = createObservation(
{duration, component, timeBucket, generators},
generatorToHistory
);
acc.push(Object.assign({}, defaults, observation));
});
return acc;
}, []);
};
/**
* Validates global config parameters.
*/
const validateGlobalConfig = () => {
const schema = z.object({
'timestamp-from': z.string(),
'timestamp-to': z.string(),
duration: z.number(),
components: z.array(z.record(z.string())),
generators: z.object({
common: z.record(z.string().or(z.number())),
randint: z.record(z.object({min: z.number(), max: z.number()})),
}),
});
return validate<z.infer<typeof schema>>(schema, globalConfig);
};
/**
* Configures the MockObservations Plugin for IF
*/
const generateParamsFromConfig = () => {
const {
'timestamp-from': timestampFrom,
'timestamp-to': timestampTo,
duration,
generators,
components,
} = validateGlobalConfig();
const convertedTimestampFrom = DateTime.fromISO(timestampFrom, {
zone: 'UTC',
});
const convertedTimestampTo = DateTime.fromISO(timestampTo, {zone: 'UTC'});
return {
duration,
timeBuckets: createTimeBuckets(
convertedTimestampFrom,
convertedTimestampTo,
duration
),
generators: createGenerators(generators),
components,
};
};
/*
* create time buckets based on start time, end time and duration of each bucket.
*/
const createTimeBuckets = (
timestampFrom: DateTime,
timestampTo: DateTime,
duration: number,
timeBuckets: DateTime[] = []
): DateTime[] => {
if (
timestampFrom < timestampTo ||
timestampFrom.plus(Duration.fromObject({seconds: duration})) < timestampTo
) {
return createTimeBuckets(
timestampFrom.plus(Duration.fromObject({seconds: duration})),
timestampTo,
duration,
[...timeBuckets, timestampFrom]
);
}
return timeBuckets;
};
/*
* create generators based on a given config
*/
const createGenerators = (generatorsConfig: object): Generator[] => {
const createCommonGenerator = (config: any): Generator[] => [
CommonGenerator(config),
];
const createRandIntGenerators = (config: any): Generator[] =>
Object.entries(config).map(([fieldToPopulate, value]) =>
RandIntGenerator(fieldToPopulate, value as Record<string, any>)
);
return Object.entries(generatorsConfig).flatMap(([key, value]) =>
key === 'randint'
? createRandIntGenerators(value).flat()
: createCommonGenerator(value)
);
};
/*
* Creates time buckets based on start time, end time and duration of each bucket.
*/
const createObservation = (
observationParams: ObservationParams,
generatorToHistory: Map<Generator, number[]>
): PluginParams => {
const {duration, component, timeBucket, generators} = observationParams;
const timestamp = timeBucket.toISO();
const generateObservation = (generator: Generator) => {
const history = generatorToHistory.get(generator) || [];
const generated: Record<string, any> = generator.next(history);
generatorToHistory.set(generator, [...history, generated.value]);
return generated;
};
const generateObservations = (gen: Generator) => generateObservation(gen);
const generatedValues = generators.map(generateObservations);
const initialObservation: PluginParams = {
timestamp,
duration,
...component,
};
const generatedObservation = generatedValues.reduce(
(observation, generated) => Object.assign(observation, generated),
initialObservation
);
return generatedObservation as PluginParams;
};
return {
metadata,
execute,
};
};
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