Zip import/export (based from zip-import-export branch)

gui/package.json

@@ -25,6 +25,7 @@
     "plotly.js-cartesian-dist": "^2.33.0",
     "react": "^18.2.0",
     "react-dom": "^18.2.0",
+    "react-dropzone": "^14.2.3",
     "react-plotly.js": "^2.6.0",
     "react-router-dom": "^6.17.0",
     "react-visibility-sensor": "^5.1.1",
@@ -50,6 +51,5 @@
     "typescript": "^5.0.2",
     "vite": "^5.2.12",
     "vitest": "^1.6.0"
-  },
-  "packageManager": "[email protected]+sha1.ac34549e6aa8e7ead463a7407e1c7390f61a6610"
+  }
 }

gui/src/app/SPAnalysis/FileMapping.ts

@@ -0,0 +1,105 @@
+import { SPAnalysisDataModel, SPAnalysisPersistentDataModel, stringifyField } from "./SPAnalysisDataModel"
+
+// This code exists to provide rigorous definitions for the mappings between
+// the in-memory representation of a Stan Playground project (i.e. the
+// SPAnalysisDataModel) and the on-disk representation of its parts, as (for example)
+// when downloading or uploading a zip.
+//
+// Effectively, we need to map among three things:
+//   1. the fields of the in-memory data model
+//   2. the names of the on-disk/in-zip files
+//   3. the actual contents of those on-disk files
+// We need the link between 1-2 to serialize the data model fields to files, and
+// between 2-3 for deserialization from files.
+
+// Mechanically, we'll also want an exhaustive list of the filenames we will use
+// (that's the FileNames enum).
+
+export enum FileNames {
+    META = 'meta.json',
+    SAMPLING = 'sampling_opts.json',
+    STANFILE = 'main.stan',
+    DATAFILE = 'data.json',
+}
+
+// FileMapType enforces an exhaustive mapping from data-model fields to the
+// known file names that store those fields. (This is the 1-2 leg of the
+// triangle).
+type FileMapType = {
+    [name in keyof SPAnalysisPersistentDataModel]: FileNames
+}
+
+// This dictionary stores the actual (global) fields-to-file-names map.
+// Because it's of type FileMapType, it enforces that every key in the
+// data model (except the "ephemera" key, which is not to be preserved)
+// maps to some file name
+export const SPAnalysisFileMap: FileMapType = {
+    meta: FileNames.META,
+    samplingOpts: FileNames.SAMPLING,
+    stanFileContent: FileNames.STANFILE,
+    dataFileContent: FileNames.DATAFILE,
+}
+
+// The FileRegistry is the 2-3 leg of the triangle: it maps the known file names
+// to their actual contents when read from disk.
+// Since we don't *actually* want to mandate that all the known files
+// are present, it'll almost always be used in a Partial<>.
+// But this way, during deserialization, we can associate the (string) data with
+// the file it came from, and the file with the field of the data model, so we
+// know how to (re)populate the data model.
+export type FileRegistry = {
+    [name in FileNames]: string
+}
+
+// This is a serialization function that maps a data model to a FileRegistry,
+// i.e. a dictionary mapping the intended file names to their intended contents.
+export const mapModelToFileManifest = (data: SPAnalysisDataModel): Partial<FileRegistry> => {
+    const fileManifest: Partial<FileRegistry> = {};
+    const fields = Object.keys(SPAnalysisFileMap) as (keyof SPAnalysisDataModel)[]
+    fields.forEach((k) => {
+        if (k === "ephemera") return;
+        const key = SPAnalysisFileMap[k]
+        fileManifest[key] = stringifyField(data, k)
+    })
+    return fileManifest
+}
+
+// This is used during deserialization as an intermediate representation.
+// It maps the (named) fields of the data model to the string representation of their
+// contents as was written into the file representation.
+// During actual deserialization, special case files can be deserialized as needed,
+// and the actual file list can just be mapped directly.
+export type FieldsContentsMap = {
+    [name in keyof SPAnalysisPersistentDataModel]: string
+}
+
+// This is the inverse of the SPAnalysisFileMap dictionary; with the bonus that it actually
+// populates the fields.
+export const mapFileContentsToModel = (files: Partial<FileRegistry>): Partial<FieldsContentsMap> => {
+    const fields = Object.keys(files)
+    const theMap: Partial<FieldsContentsMap> = {}
+    fields.forEach(f => {
+        switch (f) {
+            case FileNames.META: {
+                theMap.meta = files[f]
+                break;
+            }
+            case FileNames.DATAFILE: {
+                theMap.dataFileContent = files[f]
+                break;
+            }
+            case FileNames.STANFILE: {
+                theMap.stanFileContent = files[f]
+                break;
+            }
+            case FileNames.SAMPLING: {
+                theMap.samplingOpts = files[f]
+                break;
+            }
+            default:
+                // Don't do anything for unrecognized filenames
+                break;
+        }
+    })
+    return theMap
+}

gui/src/app/SPAnalysis/SPAnalysisContextProvider.tsx

@@ -1,6 +1,7 @@
 import { createContext, FunctionComponent, PropsWithChildren, useEffect, useReducer } from "react"
-import { deserializeAnalysis, initialDataModel, serializeAnalysis, SPAnalysisDataModel } from "./SPAnalysisDataModel"
+import { initialDataModel, SPAnalysisDataModel } from "./SPAnalysisDataModel"
 import { SPAnalysisReducer, SPAnalysisReducerAction, SPAnalysisReducerType } from "./SPAnalysisReducer"
+import { deserializeAnalysisFromLocalStorage, serializeAnalysisToLocalStorage } from "./SPAnalysisSerialization"
 
 type SPAnalysisContextType = {
     data: SPAnalysisDataModel
@@ -27,7 +28,7 @@ const SPAnalysisContextProvider: FunctionComponent<PropsWithChildren<SPAnalysisC
     useEffect(() => {
         // as user reloads the page or closes the tab, save state to local storage
         const handleBeforeUnload = () => {
-            const state = serializeAnalysis(data)
+            const state = serializeAnalysisToLocalStorage(data)
             localStorage.setItem('stan-playground-saved-state', state)
         };
         window.addEventListener('beforeunload', handleBeforeUnload);
@@ -41,7 +42,7 @@ const SPAnalysisContextProvider: FunctionComponent<PropsWithChildren<SPAnalysisC
         // load the saved state on first load
         const savedState = localStorage.getItem('stan-playground-saved-state')
         if (!savedState) return
-        const parsedData = deserializeAnalysis(savedState)
+        const parsedData = deserializeAnalysisFromLocalStorage(savedState)
         update({ type: 'loadLocalStorage', state: parsedData })
     }, [])
     ////////////////////////////////////////////////////////////////////////////////////////

gui/src/app/SPAnalysis/SPAnalysisDataModel.ts

@@ -31,6 +31,8 @@ export type SPAnalysisDataModel = SPAnalysisBase &
     ephemera: SPAnalysisEphemeralData
 }
 
+export type SPAnalysisPersistentDataModel = Omit<SPAnalysisDataModel, "ephemera">
+
 export const initialDataModel: SPAnalysisDataModel = {
     meta: { title: "Undefined" },
     ephemera: {
@@ -42,17 +44,26 @@ export const initialDataModel: SPAnalysisDataModel = {
     samplingOpts: defaultSamplingOpts
 }
 
-export const serializeAnalysis = (data: SPAnalysisDataModel): string => {
-    const intermediary = {
-        ...data, ephemera: undefined }
-    return JSON.stringify(intermediary)
+export const persistStateToEphemera = (data: SPAnalysisDataModel): SPAnalysisDataModel => {
+    const newEphemera = { ...data.ephemera }
+    getStringKnownFileKeys().forEach(k => newEphemera[k] = data[k])
+    return {
+        ...data,
+        ephemera: newEphemera
+    }
 }
 
-export const deserializeAnalysis = (serialized: string): SPAnalysisDataModel => {
-    const intermediary = JSON.parse(serialized)
-    // Not sure if this is strictly necessary
-    intermediary.ephemera = {}
-    const stringFileKeys = Object.values(SPAnalysisKnownFiles).filter((v) => isNaN(Number(v)));
-    stringFileKeys.forEach((k) => intermediary.ephemera[k] = intermediary[k]);
-    return intermediary as SPAnalysisDataModel
+export const getStringKnownFileKeys = () => Object.values(SPAnalysisKnownFiles);
+
+export const modelHasUnsavedChanges = (data: SPAnalysisDataModel): boolean => {
+    const stringFileKeys = getStringKnownFileKeys()
+    return stringFileKeys.some((k) => data[k] !== data.ephemera[k])
 }
+
+export const stringifyField = (data: SPAnalysisDataModel, field: keyof SPAnalysisDataModel): string => {
+    if (field === 'ephemera') return ''
+    const value = data[field]
+    if (typeof value === 'string') return value
+    return JSON.stringify(value)
+}
+

gui/src/app/SPAnalysis/SPAnalysisReducer.ts

@@ -1,14 +1,19 @@
 import { Reducer } from "react"
 import { Stanie } from "../exampleStanies/exampleStanies"
 import { defaultSamplingOpts, SamplingOpts } from '../StanSampler/StanSampler'
-import { initialDataModel, SPAnalysisDataModel, SPAnalysisKnownFiles } from "./SPAnalysisDataModel"
+import { FieldsContentsMap } from "./FileMapping"
+import { initialDataModel, persistStateToEphemera, SPAnalysisDataModel, SPAnalysisKnownFiles } from "./SPAnalysisDataModel"
 
 
 export type SPAnalysisReducerType = Reducer<SPAnalysisDataModel, SPAnalysisReducerAction>
 
 export type SPAnalysisReducerAction = {
     type: 'loadStanie',
     stanie: Stanie
+} | {
+    type: 'loadFiles',
+    files: Partial<FieldsContentsMap>,
+    clearExisting: boolean
 } | {
     type: 'retitle',
     title: string
@@ -45,6 +50,9 @@ export const SPAnalysisReducer: SPAnalysisReducerType = (s: SPAnalysisDataModel,
                 }
             }
         }
+        case "loadFiles": {
+            return loadFromProjectFiles(s, a.files, a.clearExisting)
+        }
         case "retitle": {
             return {
                 ...s,
@@ -73,3 +81,38 @@ export const SPAnalysisReducer: SPAnalysisReducerType = (s: SPAnalysisDataModel,
     }
 }
 
+const loadMetaFromString = (data: SPAnalysisDataModel, json: string, clearExisting: boolean = false): SPAnalysisDataModel => {
+    const newMeta = JSON.parse(json)
+    // TODO: properly check type of deserialized meta
+    const newMetaMember = clearExisting ? { ...newMeta } : { ...data.meta, ...newMeta }
+    return { ...data, meta: newMetaMember }
+}
+
+const loadSamplingOptsFromString = (data: SPAnalysisDataModel, json: string, clearExisting: boolean = false): SPAnalysisDataModel => {
+    const newSampling = JSON.parse(json)
+    // TODO: properly check type/fields of deserialized sampling opts
+    const newSamplingOptsMember = clearExisting ? { ...newSampling } : { ...data.samplingOpts, ...newSampling }
+    return { ...data, samplingOpts: newSamplingOptsMember }
+}
+
+const loadFileFromString = (data: SPAnalysisDataModel, field: SPAnalysisKnownFiles, contents: string, replaceProject: boolean = false): SPAnalysisDataModel => {
+    const newData = replaceProject ? { ...initialDataModel } : { ...data }
+    newData[field] = contents
+    return newData
+}
+
+const loadFromProjectFiles = (data: SPAnalysisDataModel, files: Partial<FieldsContentsMap>, clearExisting: boolean = false): SPAnalysisDataModel => {
+    let newData = clearExisting ? initialDataModel : data
+    if (Object.keys(files).includes('meta')) {
+        newData = loadMetaFromString(newData, files.meta ?? '')
+        delete files['meta']
+    }
+    if (Object.keys(files).includes('samplingOpts')) {
+        newData = loadSamplingOptsFromString(newData, files.samplingOpts ?? '')
+        delete files['samplingOpts']
+    }
+    const fileKeys = Object.keys(files) as SPAnalysisKnownFiles[]
+    newData = fileKeys.reduce((currData, currField) => loadFileFromString(currData, currField, files[currField] ?? ''), newData)
+    newData = persistStateToEphemera(newData)
+    return newData
+}

gui/src/app/SPAnalysis/SPAnalysisSerialization.ts

@@ -0,0 +1,72 @@
+import JSZip from "jszip"
+import { replaceSpacesWithUnderscores } from "../util/replaceSpaces"
+import { FileNames, FileRegistry, mapFileContentsToModel, mapModelToFileManifest, SPAnalysisFileMap } from "./FileMapping"
+import { getStringKnownFileKeys, SPAnalysisDataModel } from "./SPAnalysisDataModel"
+
+export const serializeAnalysisToLocalStorage = (data: SPAnalysisDataModel): string => {
+    const intermediary = {
+        ...data, ephemera: undefined }
+    return JSON.stringify(intermediary)
+}
+
+export const deserializeAnalysisFromLocalStorage = (serialized: string): SPAnalysisDataModel => {
+    const intermediary = JSON.parse(serialized)
+    // Not sure if this is strictly necessary
+    intermediary.ephemera = {}
+    const stringFileKeys = getStringKnownFileKeys()
+    stringFileKeys.forEach((k) => intermediary.ephemera[k] = intermediary[k]);
+    return intermediary as SPAnalysisDataModel
+}
+
+export const serializeAsZip = async (data: SPAnalysisDataModel): Promise<[Blob, string]> => {
+    const fileManifest = mapModelToFileManifest(data)
+    const folderName = replaceSpacesWithUnderscores(data.meta.title)
+    const zip = new JSZip()
+    const folder = zip.folder(folderName)
+    if (!folder) {
+        throw new Error('Error creating folder in zip file')
+    }
+    Object.entries(fileManifest).forEach(([name, content]) => {
+        folder.file(name, content)
+    })
+    const zipBlob = await zip.generateAsync({type: 'blob'})
+
+    return [zipBlob, folderName]
+}
+
+export const parseFile = (fileBuffer: ArrayBuffer) => {
+    const content = new TextDecoder().decode(fileBuffer)
+    return content
+}
+
+export const deserializeZipToFiles = async (zipBuffer: ArrayBuffer) => {
+    const zip = await JSZip.loadAsync(zipBuffer)
+    const dirNames: string[] = []
+    zip.forEach((relpath, file) => file.dir && dirNames.push(relpath))
+    const folderName = dirNames[0] ?? ''
+    if (! dirNames.every(n => n === folderName)) {
+        throw new Error('Multiple directories in zip file')
+    }
+    zip.forEach((_, file) => {
+        if (!file.name.startsWith(folderName)) {
+            throw new Error('Files are not all in a single folder')
+        }
+    })
+    const folderLength = folderName.length
+    const files: {[name: string]: string} =  {}
+    // we want to use a traditional for loop here, since async doesn't do nicely with higher-order callbacks
+    for (const name in zip.files) {
+        const file = zip.files[name]
+        if (file.dir) continue
+        const basename = name.substring(folderLength)
+        if (Object.values(SPAnalysisFileMap).includes(basename as FileNames)) {
+            const content = await file.async('arraybuffer')
+            const decoded = new TextDecoder().decode(content)
+            files[basename] = decoded
+        } else {
+            throw new Error(`Unrecognized file in zip: ${file.name} (basename ${basename})`)
+        }
+
+    }
+    return mapFileContentsToModel(files as Partial<FileRegistry>)
+}

gui/src/app/SamplerOutputView/SamplerOutputView.tsx

@@ -1,13 +1,14 @@
 import { SmallIconButton } from "@fi-sci/misc"
 import { Download } from "@mui/icons-material"
+import JSZip from 'jszip'
 import { FunctionComponent, useCallback, useMemo, useState } from "react"
 import StanSampler from "../StanSampler/StanSampler"
 import { useSamplerOutput } from "../StanSampler/useStanSampler"
 import TabWidget from "../TabWidget/TabWidget"
-import TracePlotsView from "./TracePlotsView"
-import SummaryView from "./SummaryView"
+import { triggerDownload } from "../util/triggerDownload"
 import HistsView from "./HistsView"
-import JSZip from 'jszip'
+import SummaryView from "./SummaryView"
+import TracePlotsView from "./TracePlotsView"
 
 type SamplerOutputViewProps = {
     width: number
@@ -250,11 +251,7 @@ const createZipBlobForMultipleCsvs = async (csvTexts: string[], uniqueChainIds:
 
 const downloadTextFile = (text: string, filename: string) => {
     const blob = new Blob([text], {type: 'text/plain'});
-    const url = URL.createObjectURL(blob);
-    const a = document.createElement('a');
-    a.href = url;
-    a.download = filename;
-    a.click();
+    triggerDownload(blob, filename, () => {});
 }
 
 export default SamplerOutputView