mirror of
https://github.com/chanzuckerberg/cellxgene.git
synced 2026-09-26 19:38:13 +08:00
* only load annotation var names * remove incorrect usage of var annotation data * temporary workaround for issue #480 * lint * issue warnings only once per item
315 lines
8.4 KiB
JavaScript
315 lines
8.4 KiB
JavaScript
// jshint esversion: 6
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import _ from "lodash";
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import * as globals from "../globals";
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import { Universe, kvCache } from "../util/stateManager";
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import {
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catchErrorsWrap,
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doJsonRequest,
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rangeEncodeIndices,
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dispatchNetworkErrorMessageToUser
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} from "../util/actionHelpers";
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/*
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Bootstrap application with the initial data loading.
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* /config - application configuration
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* /schema - schema of dataframe
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* /annotations/obs - all metadata annotation
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*/
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const doInitialDataLoad = () =>
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catchErrorsWrap(async dispatch => {
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dispatch({ type: "initial data load start" });
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try {
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const requests = _([
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"config",
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"schema",
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"annotations/obs",
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"annotations/var?annotation-name=name",
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"layout/obs"
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])
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.map(r => `${globals.API.prefix}${globals.API.version}${r}`)
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.map(url => doJsonRequest(url))
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.value();
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const results = await Promise.all(requests);
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/* set config defaults */
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const config = { ...globals.configDefaults, ...results[0].config };
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const [, schema, obsAnno, varAnno, obsLayout] = [...results];
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const universe = Universe.createUniverseFromRestV02Response(
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config,
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schema,
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obsAnno,
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varAnno,
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obsLayout
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);
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dispatch({
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type: "configuration load complete",
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config
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});
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dispatch({
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type: "initial data load complete (universe exists)",
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universe
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});
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} catch (error) {
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dispatch({ type: "initial data load error", error });
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}
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}, true);
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/*
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Set the view (world) to current selection. Placeholder for an async action
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which also does re-layout.
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*/
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const regraph = () => (dispatch, getState) => {
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const { universe, world, crossfilter } = getState().controls;
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dispatch({
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type: "set World to current selection",
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universe,
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world,
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crossfilter
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});
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};
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// Throws
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const dispatchExpressionErrors = (dispatch, res) => {
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const msg = `Unexpected HTTP response while fetching expression data ${
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res.status
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}, ${res.statusText}`;
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dispatchNetworkErrorMessageToUser(msg);
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throw new Error(msg);
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};
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/*
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Fetch expression vectors for each gene in genes. This is NOT an action
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function, but rather a helper to be called from an action helper that
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needs expression data.
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Transparently utilizes cached data if it is already present.
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*/
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async function _doRequestExpressionData(dispatch, getState, genes) {
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const state = getState();
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const { universe } = state.controls;
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/* preload data already in cache */
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let expressionData = _.transform(
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genes,
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(expData, g) => {
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const data = kvCache.get(universe.varDataCache, g);
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if (data) {
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expData[g] = data;
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}
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},
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{}
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); // --> { gene: data }
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/* make a list of genes for which we do not have data */
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const genesToFetch = _.filter(genes, g => expressionData[g] === undefined);
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dispatch({ type: "expression load start" });
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/* Fetch data for any genes not in cache */
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if (genesToFetch.length) {
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try {
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// XXX: TODO - this could be using /data/var rather than /data/obs,
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// as that would simplify the transformation in convertExpressionRESTv02ToObject
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const res = await fetch(
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`${globals.API.prefix}${globals.API.version}data/obs`,
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{
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method: "PUT",
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body: JSON.stringify({
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filter: {
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var: {
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annotation_value: [{ name: "name", values: genesToFetch }]
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}
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}
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}),
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headers: new Headers({
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accept: "application/json",
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"Content-Type": "application/json"
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})
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}
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);
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if (!res.ok || res.headers.get("Content-Type") !== "application/json") {
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// WILL throw
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return dispatchExpressionErrors(dispatch, res);
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}
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const data = await res.json();
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expressionData = {
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...expressionData,
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...Universe.convertExpressionRESTv02ToObject(universe, data)
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};
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} catch (error) {
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dispatch({ type: "expression load error", error });
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throw error; // rethrow
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}
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}
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dispatch({ type: "expression load success", expressionData });
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return expressionData;
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}
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function requestSingleGeneExpressionCountsForColoringPOST(gene) {
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return async (dispatch, getState) => {
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dispatch({ type: "get single gene expression for coloring started" });
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try {
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await _doRequestExpressionData(dispatch, getState, [gene]);
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const { world } = getState().controls;
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dispatch({
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type: "color by expression",
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gene,
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data: {
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[gene]: kvCache.get(world.varDataCache, gene)
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}
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});
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} catch (error) {
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dispatch({
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type: "get single gene expression for coloring error",
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error
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});
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}
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};
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}
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const requestUserDefinedGene = gene => async (dispatch, getState) => {
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dispatch({ type: "request user defined gene started" });
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try {
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await await _doRequestExpressionData(dispatch, getState, [gene]);
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const { world } = getState().controls;
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/* then send the success case action through */
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return dispatch({
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type: "request user defined gene success",
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data: {
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genes: [gene],
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expression: kvCache.get(world.varDataCache, gene)
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}
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});
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} catch (error) {
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return dispatch({
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type: "request user defined gene error",
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error
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});
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}
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};
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const dispatchDiffExpErrors = (dispatch, response) => {
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switch (response.status) {
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case 403:
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dispatchNetworkErrorMessageToUser(
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"Too many cells selected for differential experesion calculation - please make a smaller selection."
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);
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break;
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case 501:
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dispatchNetworkErrorMessageToUser(
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"Differential expression is not implemented."
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);
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break;
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default: {
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const msg = `Unexpected differential expression HTTP response ${
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response.status
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}, ${response.statusText}`;
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dispatchNetworkErrorMessageToUser(msg);
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dispatch({
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type: "request differential expression error",
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error: new Error(msg)
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});
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}
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}
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};
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const requestDifferentialExpression = (set1, set2, num_genes = 10) => async (
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dispatch,
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getState
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) => {
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dispatch({ type: "request differential expression started" });
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try {
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/*
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Steps:
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1. get the most differentially expressed genes
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2. get expression data for each
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*/
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const state = getState();
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const { universe } = state.controls;
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const set1ByIndex = rangeEncodeIndices(
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_.map(set1, s => universe.obsNameToIndexMap[s])
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);
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const set2ByIndex = rangeEncodeIndices(
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_.map(set2, s => universe.obsNameToIndexMap[s])
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);
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const res = await fetch(
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`${globals.API.prefix}${globals.API.version}diffexp/obs`,
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{
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method: "POST",
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headers: new Headers({
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Accept: "application/json",
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"Content-Type": "application/json"
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}),
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body: JSON.stringify({
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mode: "topN",
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count: num_genes,
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set1: { filter: { obs: { index: set1ByIndex } } },
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set2: { filter: { obs: { index: set2ByIndex } } }
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})
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}
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);
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if (!res.ok || res.headers.get("Content-Type") !== "application/json") {
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return dispatchDiffExpErrors(dispatch, res);
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}
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const data = await res.json();
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// result is [ [varIdx, ...], ... ]
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const topNGenes = _.map(data, r => universe.varAnnotations[r[0]].name);
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/*
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Kick off secondary action to fetch all of the expression data for the
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topN expressed genes.
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*/
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await _doRequestExpressionData(dispatch, getState, topNGenes);
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/* then send the success case action through */
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return dispatch({
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type: "request differential expression success",
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data
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});
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} catch (error) {
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return dispatch({
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type: "request differential expression error",
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error
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});
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}
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};
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const resetInterface = () => (dispatch, getState) => {
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const { universe } = getState().controls;
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dispatch({
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type: "clear all user defined genes"
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});
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dispatch({
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type: "clear differential expression"
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});
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dispatch({
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type: "reset colorscale"
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});
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dispatch({
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type: "clear scatterplot"
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});
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dispatch({
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type: "reset World to eq Universe",
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universe
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});
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dispatch({
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type: "increment graph render counter"
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});
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};
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export default {
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regraph,
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resetInterface,
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requestSingleGeneExpressionCountsForColoringPOST,
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requestDifferentialExpression,
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requestUserDefinedGene,
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doInitialDataLoad
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};
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