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Move to other file, add comments and a warning for unknown params
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,113 @@ | ||
| import { SPAnalysisDataModel, initialDataModel } from "./SPAnalysisDataModel"; | ||
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| enum QueryParamKeys { | ||
| StanFile = "stan", | ||
| DataFile = "data", | ||
| SamplingOpts = "sampling_opts", | ||
| Title = "title", | ||
| SONumChains = 'num_chains', | ||
| SONumWarmup = 'num_warmup', | ||
| SONumSamples = 'num_samples', | ||
| SOInitRadius = 'init_radius', | ||
| SOSeed = 'seed' | ||
| } | ||
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| type QueryParams = { | ||
| [key in QueryParamKeys]: string | null | ||
| } | ||
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| export const fromSearchParams = (searchParams: URLSearchParams) => { | ||
| for (const key of searchParams.keys()) { | ||
| // warn on unknown keys | ||
| if (!Object.values(QueryParamKeys).includes(key as QueryParamKeys)) { | ||
| console.warn('Unknown query parameter', key) | ||
| } | ||
| } | ||
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| const query: QueryParams = { | ||
| stan: searchParams.get(QueryParamKeys.StanFile), | ||
| data: searchParams.get(QueryParamKeys.DataFile), | ||
| sampling_opts: searchParams.get(QueryParamKeys.SamplingOpts), | ||
| title: searchParams.get(QueryParamKeys.Title), | ||
| num_chains: searchParams.get(QueryParamKeys.SONumChains), | ||
| num_warmup: searchParams.get(QueryParamKeys.SONumWarmup), | ||
| num_samples: searchParams.get(QueryParamKeys.SONumSamples), | ||
| init_radius: searchParams.get(QueryParamKeys.SOInitRadius), | ||
| seed: searchParams.get(QueryParamKeys.SOSeed), | ||
| } | ||
| return query | ||
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| } | ||
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| const tryFetch = async (url: string) => { | ||
| console.log('Fetching content from', url) | ||
| try { | ||
| const req = await fetch(url) | ||
| if (!req.ok) { | ||
| console.error('Failed to fetch from url', url, req.status, req.statusText) | ||
| return undefined | ||
| } | ||
| return await req.text() | ||
| } catch (err) { | ||
| console.error('Failed to fetch from url', url, err) | ||
| return undefined | ||
| } | ||
| } | ||
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| const deepCopy = (obj: any) => { | ||
| return JSON.parse(JSON.stringify(obj)) | ||
| } | ||
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| export const fetchRemoteAnalysis = async (query: QueryParams) => { | ||
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| // any special 'project' query could be loaded here at the top | ||
| const data: SPAnalysisDataModel = deepCopy(initialDataModel) | ||
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| if (query.stan) { | ||
| const stanFileContent = await tryFetch(query.stan) | ||
| if (stanFileContent) { | ||
| data.stanFileContent = stanFileContent | ||
| } | ||
| } | ||
| if (query.data) { | ||
| const dataFileContent = await tryFetch(query.data) | ||
| if (dataFileContent) { | ||
| data.dataFileContent = dataFileContent | ||
| } | ||
| } | ||
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| if (query.sampling_opts) { | ||
| const text = await tryFetch(query.sampling_opts) | ||
| if (text) { | ||
| // TODO(bmw) validate | ||
| data.samplingOpts = JSON.parse(text) | ||
| } | ||
| } else { | ||
| if (query.num_chains) { | ||
| data.samplingOpts.num_chains = parseInt(query.num_chains) | ||
| } | ||
| if (query.num_warmup) { | ||
| data.samplingOpts.num_warmup = parseInt(query.num_warmup) | ||
| } | ||
| if (query.num_samples) { | ||
| data.samplingOpts.num_samples = parseInt(query.num_samples) | ||
| } | ||
| if (query.init_radius) { | ||
| data.samplingOpts.init_radius = parseFloat(query.init_radius) | ||
| } | ||
| if (query.seed) { | ||
| data.samplingOpts.seed = parseInt(query.seed) | ||
| } | ||
| } | ||
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| if (query.title) { | ||
| data.meta.title = query.title | ||
| } | ||
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| // TODO(bmw) create a 'setEphemera' helper? | ||
| data.ephemera.stanFileContent = data.stanFileContent | ||
| data.ephemera.dataFileContent = data.dataFileContent | ||
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| return data | ||
| } |