From 223f109c0400fa91117cf26b24ceae77843ec70e Mon Sep 17 00:00:00 2001 From: Ronald Veth Date: Wed, 8 Apr 2026 22:34:48 +0200 Subject: [PATCH] Fixes continuation row grouping in streaming parser Resolves critical issues where continuation rows (rows with empty identifier columns) were not properly grouped in CsvStreamParser, causing discrepancies between streaming and non-streaming parsing results. Changes CsvStreamParser to buffer continuation groups by default, matching CsvParser behavior. Adds maxContinuationGroupSize guard (default: 10000) to prevent unbounded memory growth when identifier values are missing. Improves identifierColumn validation to throw early when configured column doesn't exist after filtering/transformation, requiring transformed column names when headerTransformer or columnMapping are used. Fixes nested array handling in JsonToCsv to properly emit child continuation values under parent array items rather than at root level. Enhances documentation to clarify parseStream() buffers full content in memory, while CsvStreamParser provides true incremental processing with continuation grouping. Updates dependencies and fixes quote character handling in splitLines to properly track escaped quotes. --- .changeset/orange-pillows-sing.md | 7 + .changeset/soft-ants-fail.md | 13 + README.md | 68 +- biome.json | 2 +- package-lock.json | 2714 ++++++++++++++++---------- package.json | 16 +- src/csv-reader.ts | 17 +- src/csv-stream-parser.ts | 161 +- src/json-to-csv.ts | 88 +- src/nested-json-converter.ts | 96 +- tests/array-suffix-indicator.test.ts | 48 + tests/column-selection.test.ts | 123 +- tests/csv-parser-integration.test.ts | 42 + tests/csv-reader.test.ts | 19 + tests/csv-stream-parser.test.ts | 148 +- tests/json-to-csv.test.ts | 25 +- 16 files changed, 2447 insertions(+), 1140 deletions(-) create mode 100644 .changeset/orange-pillows-sing.md create mode 100644 .changeset/soft-ants-fail.md diff --git a/.changeset/orange-pillows-sing.md b/.changeset/orange-pillows-sing.md new file mode 100644 index 0000000..5d14d5d --- /dev/null +++ b/.changeset/orange-pillows-sing.md @@ -0,0 +1,7 @@ +--- +"@cerios/csv-nested-json": patch +--- + +Enforce strict `identifierColumn` validation in both batch and streaming parsing paths. + +When `identifierColumn` is configured but not present in the processed headers, parsing now throws `CsvParseError` instead of silently continuing with ambiguous grouping behavior. \ No newline at end of file diff --git a/.changeset/soft-ants-fail.md b/.changeset/soft-ants-fail.md new file mode 100644 index 0000000..467947f --- /dev/null +++ b/.changeset/soft-ants-fail.md @@ -0,0 +1,13 @@ +--- +"@cerios/csv-nested-json": minor +--- + +Align CsvStreamParser options with CsvParser by removing the stream-only nested option. + +CsvStreamParser now always emits nested grouped output, matching CsvParser continuation-row semantics. This removes divergence between streaming and non-stream parsing and avoids incorrect row-by-row interpretation of continuation rows. + +This is treated as a bug-fix alignment so both APIs produce consistent grouped results for nested CSV structures, while keeping stream-specific options such as batchSize and progress callbacks. + +Grouping is now strict: a continuation row cannot start a group. If the first row in a group has an empty identifier value, parsing throws `CsvParseError` instead of silently creating an ambiguous record. + +`CsvStreamParser` now includes a `maxContinuationGroupSize` safeguard (default `10000`) to prevent unbounded memory usage when identifier values are missing for long stretches. diff --git a/README.md b/README.md index 5251ea8..ad456a3 100644 --- a/README.md +++ b/README.md @@ -64,8 +64,11 @@ console.log(result); | `CsvParser.parseFileSync()` | Parse CSV file synchronously | | `CsvParser.parseFile()` | Parse CSV file asynchronously | | `CsvParser.parseString()` | Parse CSV string content | -| `CsvParser.parseStream()` | Parse CSV from readable stream | +| `CsvParser.parseStream()` | Parse CSV from readable stream (buffers full content in memory) | | `CsvStreamParser` | True streaming parser for very large files | +| `CsvReader.parse()` | Low-level CSV parser that returns flat records | +| `CsvFileReader.readFile*()` | Low-level file/stream text reader | +| `NestedJsonConverter.convert()` | Low-level flat-record to nested JSON converter | | `JsonToCsv.stringify()` | Convert JSON objects to CSV string | | `JsonToCsv.writeFileSync()` | Write JSON objects to CSV file (sync) | | `JsonToCsv.writeFile()` | Write JSON objects to CSV file (async) | @@ -116,11 +119,13 @@ const stream = createReadStream('./large-file.csv'); const result = await CsvParser.parseStream(stream); ``` -**When to use:** Very large files (>100MB), memory-constrained environments, real-time processing. +**When to use:** CSV input already comes from a readable stream and buffering the full result in memory is acceptable. + +**Note:** `CsvParser.parseStream()` buffers the entire stream before converting. For true incremental parsing, use `CsvStreamParser`. ### 5. True Streaming Parser (Memory Efficient) -For very large files where you want to process records one at a time without loading everything into memory: +For very large files where you want streaming processing without loading everything into memory (continuation rows are grouped by default): ```typescript import { CsvStreamParser } from '@cerios/csv-nested-json'; @@ -540,7 +545,7 @@ Handle CSV files with duplicate column names: const csvContent = `id,name,value,value,value 1,Test,A,B,C`; -// Keep first occurrence (default) +// Keep first occurrence const result1 = CsvParser.parseString(csvContent, { duplicateHeaders: 'first' }); @@ -659,6 +664,8 @@ const result = CsvParser.parseString(csvContent, { // ] ``` +Null conversion is opt-in. Values are only treated as null when `nullValues` is provided. + ### BOM Handling The parser automatically strips UTF-8 and UTF-16 BOM by default: @@ -710,15 +717,14 @@ const result = CsvParser.parseFileSync('./complex-data.csv'); "firstName": "Jane", "lastName": "Doe" }, - "addresses": { - "type": "home", - "city": "Chicago" - } + "addresses": [ + { "type": "home", "city": "Chicago" } + ] } ] ``` -**Note:** The first record has an array of addresses (multiple entries), while the second has a single address object. +**Note:** Array shape is normalized across records. If one record needs an array for a path, other records with a single value for that path are represented as single-item arrays. ### Custom Delimiters @@ -895,8 +901,8 @@ interface CsvParserOptions { limit?: number; // Max records to parse // Column selection - includeColumns?: string[]; // Include only these columns - excludeColumns?: string[]; // Exclude these columns + includeColumns?: string[]; // Include only these columns (matched against original CSV headers) + excludeColumns?: string[]; // Exclude columns after includeColumns is applied // Duplicate header handling duplicateHeaders?: DuplicateHeaderStrategy; // Default: 'error' @@ -929,8 +935,8 @@ interface CsvParserOptions { // Streaming-specific options (CsvStreamParser) interface CsvStreamParserOptions extends CsvParserOptions { - nested?: boolean; // Emit nested objects (default: true) batchSize?: number; // Emit records in batches + maxContinuationGroupSize?: number; // Max raw rows buffered per continuation group (default: 10000) progressCallback?: ProgressCallback; // Progress tracking callback progressInterval?: number; // Records between callbacks (default: 100) } @@ -1054,6 +1060,9 @@ Array of column names to include. Only these columns will be in the output. includeColumns: ['id', 'name', 'email'] // Only include these columns ``` +`includeColumns` and `excludeColumns` can be combined. Inclusion is applied first, then exclusion. +Column filtering matches original CSV header names before `headerTransformer` and `columnMapping` are applied. + #### `excludeColumns` Array of column names to exclude. All other columns will be included. @@ -1080,11 +1089,26 @@ duplicateHeaders: 'rename' // 'error' | 'rename' | 'combine' | 'first' | 'last' Column to use as the identifier for grouping continuation rows. By default, the first column is used to identify new records. When this column has an empty value, the row is treated as a continuation of the previous record. +The first data row in a group must contain an identifier value. If the first row is a continuation row (empty identifier), parsing throws `CsvParseError` to avoid ambiguous grouping. + +If `headerTransformer` or `columnMapping` is used, set `identifierColumn` to the transformed/mapped header name (not the original CSV header). + ```typescript // Use 'productId' instead of first column to group rows identifierColumn: 'productId' ``` +#### `maxContinuationGroupSize` (streaming only) + +Maximum number of raw rows buffered for a single continuation group in `CsvStreamParser`. This protects against unbounded memory growth when identifier values are missing for long stretches. + +- Default: `10000` +- When exceeded, parsing throws `CsvParseError` + +```typescript +maxContinuationGroupSize: 5000 +``` + #### `arraySuffixIndicator` Suffix in headers to force array type. Default: `'[]'` @@ -1097,7 +1121,7 @@ How to handle forced array fields with no values: #### `nullValues` -Strings to interpret as null values. Default: `['null', 'NULL', 'nil', 'NIL', '']` +Strings to interpret as null values. Null detection is disabled unless this option is provided. #### `nullRepresentation` @@ -1186,7 +1210,7 @@ Parses CSV string content. #### `parseStream(stream: Readable, options?: CsvParserOptions): Promise` -Parses CSV from a readable stream. +Parses CSV from a readable stream and returns all records. This method buffers the full stream in memory before conversion. ### CsvStreamParser Class @@ -1196,10 +1220,10 @@ A Transform stream that parses CSV data chunk by chunk, emitting records as they import { CsvStreamParser, ProgressInfo } from '@cerios/csv-nested-json'; const parser = new CsvStreamParser({ - nested: true, // Emit nested objects (default: true) autoParseNumbers: true, limit: 1000, // Stop after 1000 records batchSize: 100, // Emit in batches of 100 + maxContinuationGroupSize: 10000, // Safety guard for continuation buffering progressCallback: (info: ProgressInfo) => { console.log(`Progress: ${info.recordsEmitted} records, ${info.elapsedMs}ms`); }, @@ -1371,8 +1395,8 @@ Creates: | `parseFileSync()` | Scripts, small files | <10MB | Yes | | `parseFile()` | Web servers, medium files | 10MB-100MB | No | | `parseString()` | API responses, testing | Any (in-memory) | Yes | -| `parseStream()` | Large files, memory efficiency | >100MB | No | -| `CsvStreamParser` | Very large files, ETL pipelines | Any size | No | +| `parseStream()` | Readable stream inputs with buffered output | Any (buffered in memory) | No | +| `CsvStreamParser` | Large/very large files, ETL pipelines | Any size | No | ### Traditional CSV Parsing @@ -1513,11 +1537,11 @@ interface CsvStreamParserOptions extends CsvParserOptions { /* ... */ } ## 🎯 Best Practices 1. **Choose the Right Method:** - - Use `parseFileSync()` for small files in scripts - - Use `parseFile()` for web servers and async workflows - - Use `parseString()` for API responses and testing - - Use `parseStream()` for large files - - Use `CsvStreamParser` for very large files or when you need to process records one at a time + - Use `parseFileSync()` for small files in scripts + - Use `parseFile()` for web servers and async workflows + - Use `parseString()` for API responses and testing + - Use `parseStream()` when your source is a readable stream and buffering all content is acceptable + - Use `CsvStreamParser` for large/very large files or incremental processing; it groups continuation rows to match `CsvParser` continuation semantics 2. **Use Appropriate Validation Mode:** - Use `'ignore'` when you trust the data source diff --git a/biome.json b/biome.json index 4f7b1cf..3509218 100644 --- a/biome.json +++ b/biome.json @@ -1,5 +1,5 @@ { - "$schema": "https://biomejs.dev/schemas/2.3.6/schema.json", + "$schema": "https://biomejs.dev/schemas/2.4.10/schema.json", "vcs": { "enabled": false, "clientKind": "git", "useIgnoreFile": false }, "files": { "ignoreUnknown": false, diff --git a/package-lock.json b/package-lock.json index bb160a4..5120889 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,24 +1,24 @@ { "name": "@cerios/csv-nested-json", - "version": "1.0.0", + "version": "1.2.1", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "@cerios/csv-nested-json", - "version": "1.0.0", + "version": "1.2.1", "license": "MIT", "devDependencies": { "@arethetypeswrong/cli": 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"version": "4.0.2", - "resolved": "https://registry.npmjs.org/write-file-atomic/-/write-file-atomic-4.0.2.tgz", - "integrity": "sha512-7KxauUdBmSdWnmpaGFg+ppNjKF8uNLry8LyzjauQDOVONfFLNKrKvQOxZ/VuTIcS/gge/YNahf5RIIQWTSarlg==", + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/write-file-atomic/-/write-file-atomic-5.0.1.tgz", + "integrity": "sha512-+QU2zd6OTD8XWIJCbffaiQeH9U73qIqafo1x6V1snCWYGJf6cVE0cDR4D8xRzcEnfI21IFrUPzPGtcPf8AC+Rw==", "dev": true, "license": "ISC", "dependencies": { "imurmurhash": "^0.1.4", - "signal-exit": "^3.0.7" + "signal-exit": "^4.0.1" }, "engines": { - "node": "^12.13.0 || ^14.15.0 || >=16.0.0" + "node": "^14.17.0 || ^16.13.0 || >=18.0.0" + } + }, + "node_modules/write-file-atomic/node_modules/signal-exit": { + "version": "4.1.0", + "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-4.1.0.tgz", + "integrity": "sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==", + "dev": true, + "license": "ISC", + "engines": { + "node": ">=14" + }, + "funding": { + "url": "https://github.com/sponsors/isaacs" } }, "node_modules/y18n": { @@ -7041,9 +7750,9 @@ "license": "ISC" }, "node_modules/yaml": { - "version": "2.8.1", - "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.1.tgz", - "integrity": "sha512-lcYcMxX2PO9XMGvAJkJ3OsNMw+/7FKes7/hgerGUYWIoWu5j/+YQqcZr5JnPZWzOsEBgMbSbiSTn/dv/69Mkpw==", + "version": "2.8.3", + "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.3.tgz", + "integrity": "sha512-AvbaCLOO2Otw/lW5bmh9d/WEdcDFdQp2Z2ZUH3pX9U2ihyUY0nvLv7J6TrWowklRGPYbB/IuIMfYgxaCPg5Bpg==", "dev": true, "license": "ISC", "bin": { @@ -7051,6 +7760,9 @@ }, "engines": { "node": ">= 14.6" + }, + "funding": { + "url": "https://github.com/sponsors/eemeli" } }, "node_modules/yargs": { diff --git a/package.json b/package.json index 0ec6a29..c2c0771 100644 --- a/package.json +++ b/package.json @@ -61,15 +61,15 @@ }, "devDependencies": { "@arethetypeswrong/cli": "^0.18.2", - "@biomejs/biome": "2.3.6", - "@changesets/cli": "^2.29.7", - "@types/jest": "^29.5.5", - "@types/node": "^24.10.1", + "@biomejs/biome": "2.4.10", + "@changesets/cli": "^2.30.0", + "@types/jest": "^30.0.0", + "@types/node": "^25.5.2", "husky": "^9.1.7", - "jest": "^29.7.0", - "lint-staged": "^16.2.6", - "npm-check-updates": "^19.1.2", - "ts-jest": "^29.4.5", + "jest": "^30.3.0", + "lint-staged": "^16.4.0", + "npm-check-updates": "^20.0.0", + "ts-jest": "^29.4.9", "tsup": "^8.5.1", "typescript": "^5.9.3" } diff --git a/src/csv-reader.ts b/src/csv-reader.ts index d45de48..95243ff 100644 --- a/src/csv-reader.ts +++ b/src/csv-reader.ts @@ -51,7 +51,7 @@ export class CsvReader { const quote = options.quote || '"'; const skipRows = options.skipRows || 0; - const lines = this.splitLines(processedContent); + const lines = this.splitLines(processedContent, quote); if (lines.length === 0) return []; @@ -199,6 +199,7 @@ export class CsvReader { * Split CSV content into lines, respecting quoted fields that may contain newlines. * * @param content - The CSV content + * @param quote - The quote character (default: '"') * @returns Array of lines (quoted newlines are preserved within lines) * * @example @@ -207,7 +208,7 @@ export class CsvReader { * // ['id,note', '1,"Line 1\nLine 2"'] * ``` */ - static splitLines(content: string): string[] { + static splitLines(content: string, quote = '"'): string[] { const lines: string[] = []; let currentLine = ""; let insideQuotes = false; @@ -216,9 +217,15 @@ export class CsvReader { const char = content[i]; const nextChar = i + 1 < content.length ? content[i + 1] : ""; - if (char === '"') { - insideQuotes = !insideQuotes; - currentLine += char; + if (char === quote) { + if (insideQuotes && nextChar === quote) { + // Escaped quote + currentLine += quote + quote; + i++; // Skip the second quote + } else { + insideQuotes = !insideQuotes; + currentLine += char; + } } else if (char === "\r" && nextChar === "\n" && !insideQuotes) { // Windows line ending lines.push(currentLine); diff --git a/src/csv-stream-parser.ts b/src/csv-stream-parser.ts index 076d2b4..7bdf2be 100644 --- a/src/csv-stream-parser.ts +++ b/src/csv-stream-parser.ts @@ -1,20 +1,13 @@ import { Transform, type TransformCallback, type TransformOptions } from "node:stream"; -import { CsvDuplicateHeaderError } from "./errors"; -import type { CsvParserOptions, DuplicateHeaderStrategy, NestedObject, ProgressCallback } from "./types"; +import { CsvDuplicateHeaderError, CsvParseError } from "./errors"; +import { NestedJsonConverter } from "./nested-json-converter"; +import type { CsvParserOptions, CsvRecord, DuplicateHeaderStrategy, NestedObject, ProgressCallback } from "./types"; /** * Options for the streaming CSV parser. * Extends standard TransformOptions with CSV-specific options. */ export interface CsvStreamParserOptions extends CsvParserOptions, TransformOptions { - /** - * Whether to emit nested objects (true) or flat records (false). - * When true, records are converted using NestedJsonConverter logic. - * When false, raw flat records are emitted. - * @default true - */ - nested?: boolean; - /** * Callback function called periodically to report parsing progress. * Can be synchronous or asynchronous. @@ -58,6 +51,13 @@ export interface CsvStreamParserOptions extends CsvParserOptions, TransformOptio * ``` */ batchSize?: number; + + /** + * Maximum number of raw rows buffered for one continuation group. + * Prevents unbounded memory growth when identifier values are missing. + * @default 10000 + */ + maxContinuationGroupSize?: number; } /** @@ -67,9 +67,8 @@ export interface CsvStreamParserOptions extends CsvParserOptions, TransformOptio * This is ideal for processing very large CSV files that don't fit in memory. * The parser handles quoted fields that span multiple chunks correctly. * - * Note: For true nested JSON conversion with continuation rows (rows that extend - * previous records), consider using the standard CsvParser methods, as continuation - * row handling requires buffering related rows together. + * By default, continuation rows (rows where the identifier column is empty) are + * grouped with the previous record to match `CsvParser` behavior. * * @example * ```typescript @@ -133,6 +132,11 @@ export class CsvStreamParser extends Transform { private batchSize: number; private recordBatch: NestedObject[] = []; + // Continuation grouping + private groupedRecords: CsvRecord[] = []; + private groupingIdentifierColumn: string | null = null; + private maxContinuationGroupSize: number; + /** * Creates a new streaming CSV parser. * @@ -165,6 +169,15 @@ export class CsvStreamParser extends Transform { this.limit = options.limit ?? 0; // Initialize batch processing this.batchSize = options.batchSize ?? 1; + // Initialize continuation-group guard + const maxContinuationGroupSize = options.maxContinuationGroupSize; + if (maxContinuationGroupSize === undefined) { + this.maxContinuationGroupSize = 10000; + } else if (!Number.isInteger(maxContinuationGroupSize) || maxContinuationGroupSize < 1) { + throw new CsvParseError("maxContinuationGroupSize must be a positive integer."); + } else { + this.maxContinuationGroupSize = maxContinuationGroupSize; + } } /** @@ -192,9 +205,9 @@ export class CsvStreamParser extends Transform { * * @example * ```typescript - * // Get flat records instead of nested - * const flatRecords = await CsvStreamParser.parseStream(stream, { - * nested: false + * // Parse with stream-specific options + * const records = await CsvStreamParser.parseStream(stream, { + * batchSize: 100 * }); * ``` */ @@ -280,6 +293,11 @@ export class CsvStreamParser extends Transform { this.processLine(this.buffer); } + // Flush remaining continuation group before flushing batches. + if (this.shouldGroupContinuationRows() && !this.limitReached) { + this.flushGroupedRecords(); + } + // Flush any remaining batch if (this.batchSize > 1 && this.recordBatch.length > 0 && !this.limitReached) { this.push(this.recordBatch); @@ -301,6 +319,8 @@ export class CsvStreamParser extends Transform { this.buffer = ""; this.headers = []; this.recordBatch = []; + this.groupedRecords = []; + this.groupingIdentifierColumn = null; this.duplicateIndices.clear(); this.includedIndices = []; this.nullSet.clear(); @@ -410,6 +430,7 @@ export class CsvStreamParser extends Transform { ); this.headers = processedHeaders; this.duplicateIndices = duplicateIndices; + this.groupingIdentifierColumn = this.resolveGroupingIdentifierColumn(); this.headersProcessed = true; return; @@ -425,13 +446,115 @@ export class CsvStreamParser extends Transform { } this.dataRowIndex++; + if (this.shouldGroupContinuationRows()) { + this.bufferGroupedRecord(record); + return; + } + // Apply transformations if needed const transformed = this.applyTransformations(record); - // Convert to nested if enabled (default) - const nested = this.options.nested !== false; - const outputRecord = nested ? this.unflatten(transformed) : transformed; + // Fallback path (not expected in current configuration): emit nested object. + const outputRecord = this.unflatten(transformed); + this.emitRecord(outputRecord as NestedObject); + } + + /** + * Whether continuation grouping should be applied for this parser instance. + */ + private shouldGroupContinuationRows(): boolean { + return true; + } + + /** + * Determine the column used for continuation grouping. + */ + private resolveGroupingIdentifierColumn(): string { + const configuredIdentifier = this.options.identifierColumn; + if (configuredIdentifier) { + if (this.headers.includes(configuredIdentifier)) { + return configuredIdentifier; + } + + const availableColumns = this.headers.length > 0 ? this.headers.join(", ") : "(none)"; + + throw new CsvParseError( + `identifierColumn '${configuredIdentifier}' not found in headers. Available columns: ${availableColumns}` + ); + } + + if (this.headers.length === 0) { + throw new CsvParseError( + "No columns available after filtering. Cannot resolve identifier column for continuation row grouping." + ); + } + + return this.headers[0]; + } + + /** + * Add a record to the active continuation group with memory guardrails. + */ + private pushGroupedRecord(record: CsvRecord): void { + if (this.groupedRecords.length >= this.maxContinuationGroupSize) { + const identifierColumn = this.groupingIdentifierColumn ?? this.options.identifierColumn ?? "(unknown)"; + throw new CsvParseError( + `Continuation group exceeded maxContinuationGroupSize (${this.maxContinuationGroupSize}) while grouping by '${identifierColumn}'.` + ); + } + + this.groupedRecords.push(record); + } + + /** + * Buffer records and flush groups when a new identifier value is encountered. + */ + private bufferGroupedRecord(record: CsvRecord): void { + const identifierColumn = this.groupingIdentifierColumn; + const identifierValue = identifierColumn ? record[identifierColumn] : undefined; + const startsNewGroup = + identifierValue !== undefined && identifierValue !== null && String(identifierValue).trim() !== ""; + + if (this.groupedRecords.length === 0) { + if (!startsNewGroup) { + const rowNumber = this.skipRows + this.dataRowIndex + 1; + throw new CsvParseError( + `Row ${rowNumber} is a continuation row, but no base row exists. Column '${identifierColumn ?? "(unknown)"}' must have a value to start a group.` + ); + } + + this.pushGroupedRecord(record); + return; + } + + if (startsNewGroup) { + this.flushGroupedRecords(); + if (this.limitReached) return; + } + this.pushGroupedRecord(record); + } + + /** + * Flush buffered grouped records through NestedJsonConverter. + */ + private flushGroupedRecords(): void { + if (this.groupedRecords.length === 0) return; + + const recordsToFlush = this.groupedRecords; + this.groupedRecords = []; + + const groupedOutput = NestedJsonConverter.convert(recordsToFlush, this.options); + for (const record of groupedOutput) { + this.emitRecord(record); + if (this.limitReached) return; + } + } + + /** + * Emit a single parsed output record while respecting batching, limits, and progress callbacks. + */ + private emitRecord(outputRecord: NestedObject): void { // Handle batching if (this.batchSize > 1) { this.recordBatch.push(outputRecord as NestedObject); diff --git a/src/json-to-csv.ts b/src/json-to-csv.ts index 1f74de7..e623364 100644 --- a/src/json-to-csv.ts +++ b/src/json-to-csv.ts @@ -173,19 +173,23 @@ export class JsonToCsv { const fullKey = prefix ? `${prefix}.${key}` : key; if (Array.isArray(value)) { - // For arrays, check the first element to determine structure - if (value.length > 0) { - const firstItem = value[0]; - if (firstItem && typeof firstItem === "object" && !Array.isArray(firstItem)) { - // Array of objects - collect headers from first item - this.collectHeadersFromObject(firstItem as NestedObject, fullKey, headers); - } else { - // Array of primitives - headers.add(fullKey); - } - } else { + if (value.length === 0) { // Empty array - still add the header headers.add(fullKey); + continue; + } + + let hasObjectItems = false; + for (const item of value) { + if (item && typeof item === "object" && !Array.isArray(item)) { + hasObjectItems = true; + this.collectHeadersFromObject(item as NestedObject, fullKey, headers); + } + } + + if (!hasObjectItems) { + // Array of primitives + headers.add(fullKey); } } else if (value && typeof value === "object") { // Nested object @@ -270,6 +274,8 @@ export class JsonToCsv { flatValues: Record, arrayValues: Record ): Record[] { + const arrayPaths = Object.keys(arrayValues).sort((a, b) => b.length - a.length); + // Determine the maximum array length let maxArrayLength = 1; for (const arr of Object.values(arrayValues)) { @@ -284,24 +290,20 @@ export class JsonToCsv { const row: Record = {}; for (const header of headers) { - if (header in arrayValues) { - const arr = arrayValues[header]; + const arrayPath = this.findArrayPathForHeader(header, arrayPaths); + + if (arrayPath) { + const arr = arrayValues[arrayPath]; if (i < arr.length) { const item = arr[i]; - if (item && typeof item === "object" && !Array.isArray(item)) { - // Array of objects - flatten this item - const itemFlat: Record = {}; - const itemArrays: Record = {}; - this.flattenToPathValues(item as NestedObject, header, itemFlat, itemArrays); - - // Add flattened values to this row - for (const [path, val] of Object.entries(itemFlat)) { - if (headers.includes(path)) { - row[path] = this.valueToString(val); - } - } + if (header === arrayPath) { + row[header] = this.valueToString(item as NestedValue); + } else if (item && typeof item === "object" && !Array.isArray(item)) { + const relativePath = header.slice(arrayPath.length + 1); + const nestedValue = this.getNestedValueAtPath(item as NestedObject, relativePath); + row[header] = nestedValue === undefined ? "" : this.valueToString(nestedValue); } else { - row[header] = this.valueToString(item); + row[header] = ""; } } else { row[header] = ""; @@ -320,6 +322,40 @@ export class JsonToCsv { return rows; } + /** + * Resolve which array path (if any) owns a header. + */ + private static findArrayPathForHeader(header: string, arrayPaths: string[]): string | null { + for (const path of arrayPaths) { + if (header === path || header.startsWith(`${path}.`)) { + return path; + } + } + + return null; + } + + /** + * Read a nested value from an object using dot-notation. + */ + private static getNestedValueAtPath(obj: NestedObject, path: string): NestedValue | undefined { + if (!path) return obj; + + const parts = path.split("."); + let current: NestedValue = obj; + + for (const part of parts) { + if (current === null || current === undefined) return undefined; + if (typeof current !== "object" || Array.isArray(current) || current instanceof Date) { + return undefined; + } + + current = (current as NestedObject)[part]; + } + + return current; + } + /** * Convert a value to string for CSV output. */ diff --git a/src/nested-json-converter.ts b/src/nested-json-converter.ts index dabe1d1..b86c15d 100644 --- a/src/nested-json-converter.ts +++ b/src/nested-json-converter.ts @@ -1,3 +1,4 @@ +import { CsvParseError } from "./errors"; import type { CsvParserOptions, CsvRecord, @@ -81,28 +82,47 @@ export class NestedJsonConverter { // Apply value transformations const transformedRecords = this.applyValueTransformations(normalizedRecords, options); - // Determine identifier column: use specified column or default to first - const identifierColumn = options.identifierColumn ?? Object.keys(transformedRecords[0])[0]; + // Determine identifier column from available normalized columns. + // A configured identifierColumn must exist, otherwise grouping semantics are ambiguous. + const availableColumns = Object.keys(normalizedRecords[0] ?? {}); + if (availableColumns.length === 0) { + throw new CsvParseError( + "No columns available after filtering. Cannot resolve identifier column for continuation row grouping." + ); + } - // Validate that identifierColumn exists - if (transformedRecords.length > 0 && !(identifierColumn in transformedRecords[0])) { - // Fall back to first key if specified column doesn't exist - // (this handles cases where the column was filtered out) + const configuredIdentifier = options.identifierColumn; + if (configuredIdentifier && !availableColumns.includes(configuredIdentifier)) { + throw new CsvParseError( + `identifierColumn '${configuredIdentifier}' not found in headers. Available columns: ${availableColumns.join(", ")}` + ); } + const identifierColumn = configuredIdentifier ?? availableColumns[0]; + // Group by the identifier column const groups: NestedObject[][] = []; let currentGroup: NestedObject[] = []; - for (const row of transformedRecords) { + for (let rowIndex = 0; rowIndex < transformedRecords.length; rowIndex++) { + const row = transformedRecords[rowIndex]; const identifierValue = row[identifierColumn]; + const hasIdentifierValue = + identifierValue !== undefined && identifierValue !== null && String(identifierValue).trim() !== ""; + // Check if the identifier column has a value - if (identifierValue && String(identifierValue).trim() !== "") { + if (hasIdentifierValue) { if (currentGroup.length > 0) { groups.push(currentGroup); } currentGroup = [row as NestedObject]; } else { + if (currentGroup.length === 0) { + throw new CsvParseError( + `Row ${rowIndex + 1} is a continuation row, but no base row exists. Column '${identifierColumn}' must have a value to start a group.` + ); + } + currentGroup.push(row as NestedObject); } } @@ -735,8 +755,28 @@ export class NestedJsonConverter { const sourceData = this.getValueAtPath(source, arrayPath); if (sourceData === undefined) continue; - if (parentPath === null || !createNewItemAt.has(parentPath)) { - // Root-level array or parent isn't creating new - add to target directly + if (parentPath !== null && !createNewItemAt.has(parentPath)) { + // Parent is an existing item; append to the child array under that parent item, + // not at the root target path. + const lastParentItem = this.getLastArrayItemAtPath(target, parentPath, mergeState); + if (!lastParentItem) continue; + + const relativePath = arrayPath.slice(parentPath.length + 1); + const nestedArray = this.ensureArrayAtPathRelative(lastParentItem, relativePath); + const newItem = + typeof sourceData === "object" && !Array.isArray(sourceData) ? sourceData : { value: sourceData }; + + nestedArray.push(newItem as NestedValue); + mergeState.lastItemByPath.set(arrayPath, newItem as NestedObject); + + if (typeof newItem === "object" && newItem !== null) { + this.trackLastItems(newItem as NestedObject, arrayPath, mergeState, forcedArrayFields); + } + continue; + } + + if (parentPath === null) { + // Root-level array - add directly to target. const targetArray = this.ensureArrayAtPath(target, arrayPath); const newItem = typeof sourceData === "object" && !Array.isArray(sourceData) ? sourceData : { value: sourceData }; @@ -760,8 +800,8 @@ export class NestedJsonConverter { if (sourceData === undefined) continue; if (parentPath !== null) { - // Get the last item of the parent array - const lastParentItem = mergeState.lastItemByPath.get(parentPath); + // Get the last item of the parent array (tracked or resolved from target). + const lastParentItem = this.getLastArrayItemAtPath(target, parentPath, mergeState); if (lastParentItem) { // Get the relative path from parent to this array const relativePath = arrayPath.slice(parentPath.length + 1); @@ -866,6 +906,38 @@ export class NestedJsonConverter { return current; } + /** + * Resolve the last item for an array path using merge state first, + * then fallback to the current target structure. + */ + private static getLastArrayItemAtPath( + target: NestedObject, + path: string, + mergeState: MergeState + ): NestedObject | undefined { + const tracked = mergeState.lastItemByPath.get(path); + if (tracked) return tracked; + + const valueAtPath = this.getValueAtPath(target, path); + if (valueAtPath === undefined || valueAtPath === null || typeof valueAtPath !== "object") { + return undefined; + } + + if (Array.isArray(valueAtPath)) { + if (valueAtPath.length === 0) return undefined; + const lastItem = valueAtPath[valueAtPath.length - 1]; + if (!lastItem || typeof lastItem !== "object" || Array.isArray(lastItem)) { + return undefined; + } + + mergeState.lastItemByPath.set(path, lastItem as NestedObject); + return lastItem as NestedObject; + } + + mergeState.lastItemByPath.set(path, valueAtPath as NestedObject); + return valueAtPath as NestedObject; + } + /** * Ensure an array exists at the given path, creating intermediate objects as needed. */ diff --git a/tests/array-suffix-indicator.test.ts b/tests/array-suffix-indicator.test.ts index 106f2b1..7294e73 100644 --- a/tests/array-suffix-indicator.test.ts +++ b/tests/array-suffix-indicator.test.ts @@ -535,6 +535,54 @@ describe("Array Suffix Indicator", () => { ]); }); + it("should keep child continuations for second parent item in nested forced arrays", () => { + const csvContent = `id,measurements[].code,measurements[].values[].energy +1,CODE1,E1 +,,E2 +,,E3 +,CODE2,E4 +,,E5 +,,E6`; + + const result = CsvParser.parseString(csvContent); + + expect(result).toEqual([ + { + id: "1", + measurements: [ + { + code: "CODE1", + values: [{ energy: "E1" }, { energy: "E2" }, { energy: "E3" }], + }, + { + code: "CODE2", + values: [{ energy: "E4" }, { energy: "E5" }, { energy: "E6" }], + }, + ], + }, + ]); + }); + + it("should keep triple-nested continuations for second top-level parent", () => { + const csvContent = `id,a[].name,a[].b[].name,a[].b[].c[] +1,a1,b1,c1 +,,,c2 +,a2,b2,c3 +,,,c4`; + + const result = CsvParser.parseString(csvContent); + + expect(result).toEqual([ + { + id: "1", + a: [ + { name: "a1", b: [{ name: "b1", c: ["c1", "c2"] }] }, + { name: "a2", b: [{ name: "b2", c: ["c3", "c4"] }] }, + ], + }, + ]); + }); + it("should handle multiple parallel nested arrays", () => { const csvContent = `id,items[].name,items[].tags[],items[].colors[] 1,item1,tag1,red diff --git a/tests/column-selection.test.ts b/tests/column-selection.test.ts index 3519811..97930d6 100644 --- a/tests/column-selection.test.ts +++ b/tests/column-selection.test.ts @@ -1,5 +1,5 @@ import { Readable } from "node:stream"; -import { CsvReader, CsvStreamParser, NestedJsonConverter } from "../src"; +import { CsvParseError, CsvReader, CsvStreamParser, NestedJsonConverter } from "../src"; import type { NestedObject } from "../src/types"; describe("Column Selection/Exclusion", () => { @@ -158,29 +158,43 @@ describe("Column Selection/Exclusion", () => { expect(result[0].id).toBe("1"); expect(result[1].id).toBe("2"); }); - }); - describe("column selection with headerTransformer", () => { - it("should filter based on original header names, not transformed names", () => { - const csv = "User ID,User Name,Email\n1,John,john@test.com"; - const result = CsvReader.parse(csv, { - headerTransformer: (h: string) => h.toLowerCase().replace(" ", "_"), - includeColumns: ["User ID", "User Name"], - }); + it("should throw when identifierColumn is missing", () => { + const records = [ + { name: "Widget", variant: "Small" }, + { name: "", variant: "Medium" }, + { name: "Gadget", variant: "Standard" }, + ]; - expect(result[0]).toEqual({ user_id: "1", user_name: "John" }); + expect(() => { + NestedJsonConverter.convert(records, { + identifierColumn: "id", + }); + }).toThrow(CsvParseError); + expect(() => { + NestedJsonConverter.convert(records, { + identifierColumn: "id", + }); + }).toThrow("identifierColumn 'id' not found in headers"); }); - }); - describe("column selection with columnMapping", () => { - it("should filter based on original headers when columnMapping is applied", () => { - const csv = "id,firstName,lastName\n1,John,Doe"; - const result = CsvReader.parse(csv, { - columnMapping: { firstName: "first_name", lastName: "last_name" }, - includeColumns: ["id", "firstName"], - }); + it("should throw when first row is a continuation row", () => { + const records = [ + { id: "", value: "a" }, + { id: "1", value: "b" }, + ]; - expect(result[0]).toEqual({ id: "1", first_name: "John" }); + expect(() => { + NestedJsonConverter.convert(records, { + identifierColumn: "id", + }); + }).toThrow("continuation row, but no base row exists"); + }); + + it("should throw when no columns are available after filtering", () => { + expect(() => { + NestedJsonConverter.convert([{}]); + }).toThrow("No columns available after filtering"); }); }); @@ -233,6 +247,77 @@ describe("Column Selection/Exclusion", () => { ); warnSpy.mockRestore(); }); + + it("should throw when identifierColumn is missing in streaming parser", async () => { + const csv = "name,variant\nWidget,Small\n,Medium\n"; + const stream = Readable.from([csv]); + + await expect( + CsvStreamParser.parseStream(stream, { + identifierColumn: "id", + }) + ).rejects.toThrow("identifierColumn 'id' not found in headers"); + }); + }); + + describe("column selection with headerTransformer", () => { + it("should filter based on original header names, not transformed names", () => { + const csv = "User ID,User Name,Email\n1,John,john@test.com"; + const result = CsvReader.parse(csv, { + headerTransformer: (h: string) => h.toLowerCase().replace(" ", "_"), + includeColumns: ["User ID", "User Name"], + }); + + expect(result[0]).toEqual({ user_id: "1", user_name: "John" }); + }); + + it("should require transformed identifierColumn name in streaming parser", async () => { + const csv = "User ID,values[]\n1,a\n,b"; + + await expect( + CsvStreamParser.parseStream(Readable.from([csv]), { + headerTransformer: (h: string) => h.toLowerCase().replace(" ", "_"), + identifierColumn: "User ID", + }) + ).rejects.toThrow("identifierColumn 'User ID' not found in headers"); + + const result = await CsvStreamParser.parseStream(Readable.from([csv]), { + headerTransformer: (h: string) => h.toLowerCase().replace(" ", "_"), + identifierColumn: "user_id", + }); + + expect(result).toEqual([{ user_id: "1", values: ["a", "b"] }]); + }); + }); + + describe("column selection with columnMapping", () => { + it("should filter based on original headers when columnMapping is applied", () => { + const csv = "id,firstName,lastName\n1,John,Doe"; + const result = CsvReader.parse(csv, { + columnMapping: { firstName: "first_name", lastName: "last_name" }, + includeColumns: ["id", "firstName"], + }); + + expect(result[0]).toEqual({ id: "1", first_name: "John" }); + }); + + it("should require mapped identifierColumn name in streaming parser", async () => { + const csv = "id,values[]\n1,a\n,b"; + + await expect( + CsvStreamParser.parseStream(Readable.from([csv]), { + columnMapping: { id: "recordId" }, + identifierColumn: "id", + }) + ).rejects.toThrow("identifierColumn 'id' not found in headers"); + + const result = await CsvStreamParser.parseStream(Readable.from([csv]), { + columnMapping: { id: "recordId" }, + identifierColumn: "recordId", + }); + + expect(result).toEqual([{ recordId: "1", values: ["a", "b"] }]); + }); }); describe("edge cases", () => { diff --git a/tests/csv-parser-integration.test.ts b/tests/csv-parser-integration.test.ts index 8aa6a13..52b5eef 100644 --- a/tests/csv-parser-integration.test.ts +++ b/tests/csv-parser-integration.test.ts @@ -260,5 +260,47 @@ describe("CsvParser - Integration Tests", () => { }, ]); }); + + it("should handle nested forced arrays with sparse continuation rows", () => { + const csvContent = `scenarioLabel,datasetTag,groups[].groupId,groups[].groupClass,groups[].samples[].intervalCode,groups[].samples[].sampleType,groups[].samples[].metricValue +Scenario A1,pub_synthetic_x,990000000000000101,SIMULATED_STREAM_TYPE,P11M,CATEGORY_ALPHA,-11.111 +,,,,P11M,CATEGORY_ALPHA,-11.222 +,,,,P11M,CATEGORY_ALPHA,-11.333 +,,990000000000000202,SIMULATED_STREAM_TYPE,P11M,CATEGORY_ALPHA,-22.111 +,,,,P11M,CATEGORY_ALPHA,-22.222 +,,,,P11M,CATEGORY_ALPHA,-22.333`; + + const result = CsvParser.parseString(csvContent, { + autoParseNumbers: true, + preserveUnsafeIntegersAsString: true, + }); + + expect(result).toEqual([ + { + scenarioLabel: "Scenario A1", + datasetTag: "pub_synthetic_x", + groups: [ + { + groupId: "990000000000000101", + groupClass: "SIMULATED_STREAM_TYPE", + samples: [ + { intervalCode: "P11M", sampleType: "CATEGORY_ALPHA", metricValue: -11.111 }, + { intervalCode: "P11M", sampleType: "CATEGORY_ALPHA", metricValue: -11.222 }, + { intervalCode: "P11M", sampleType: "CATEGORY_ALPHA", metricValue: -11.333 }, + ], + }, + { + groupId: "990000000000000202", + groupClass: "SIMULATED_STREAM_TYPE", + samples: [ + { intervalCode: "P11M", sampleType: "CATEGORY_ALPHA", metricValue: -22.111 }, + { intervalCode: "P11M", sampleType: "CATEGORY_ALPHA", metricValue: -22.222 }, + { intervalCode: "P11M", sampleType: "CATEGORY_ALPHA", metricValue: -22.333 }, + ], + }, + ], + }, + ]); + }); }); }); diff --git a/tests/csv-reader.test.ts b/tests/csv-reader.test.ts index 57c0d6c..57fabdf 100644 --- a/tests/csv-reader.test.ts +++ b/tests/csv-reader.test.ts @@ -119,6 +119,19 @@ describe("CsvReader", () => { }, ]); }); + + it("should handle custom quote character with newlines", () => { + const content = "id,name,bio\n1,Alice,'Line 1\nLine 2\nLine 3'"; + const result = CsvReader.parse(content, { quote: "'" }); + + expect(result).toEqual([ + { + id: "1", + name: "Alice", + bio: "Line 1\nLine 2\nLine 3", + }, + ]); + }); }); describe("parse - line endings", () => { @@ -235,6 +248,12 @@ describe("CsvReader", () => { expect(result).toEqual(['line1,"text\nwith\nnewlines",line2']); }); + it("should not split custom-quoted text with newlines", () => { + const content = "line1,'text\nwith\nnewlines',line2"; + const result = CsvReader.splitLines(content, "'"); + expect(result).toEqual(["line1,'text\nwith\nnewlines',line2"]); + }); + it("should handle empty content", () => { const result = CsvReader.splitLines(""); expect(result).toEqual([]); diff --git a/tests/csv-stream-parser.test.ts b/tests/csv-stream-parser.test.ts index 3f854f1..ef05348 100644 --- a/tests/csv-stream-parser.test.ts +++ b/tests/csv-stream-parser.test.ts @@ -210,18 +210,18 @@ id,name,age expect(records).toEqual([{ id: "1", name: "Alice", age: "25" }]); }); - it("should emit flat records when nested is false", async () => { + it("should parse nested records with dot notation in options flow", async () => { const csvContent = `id,person.name,person.age 1,Alice,25`; const stream = Readable.from([csvContent]); - const parser = new CsvStreamParser({ nested: false }); + const parser = new CsvStreamParser(); - const records: Record[] = []; + const records: NestedObject[] = []; for await (const record of stream.pipe(parser)) { - records.push(record as Record); + records.push(record as NestedObject); } - expect(records).toEqual([{ id: "1", "person.name": "Alice", "person.age": "25" }]); + expect(records).toEqual([{ id: "1", person: { name: "Alice", age: "25" } }]); }); it("should auto-parse numbers when enabled", async () => { @@ -523,7 +523,7 @@ Line 2"`; records.push(record as NestedObject); } - expect(records).toEqual([{ id: "1", tags: "javascript" }]); + expect(records).toEqual([{ id: "1", tags: ["javascript"] }]); }); it("should use custom array suffix indicator", async () => { @@ -537,7 +537,7 @@ Line 2"`; records.push(record as NestedObject); } - expect(records).toEqual([{ id: "1", tags: "javascript" }]); + expect(records).toEqual([{ id: "1", tags: ["javascript"] }]); }); it("should handle nested paths with array suffix", async () => { @@ -551,14 +551,17 @@ Line 2"`; records.push(record as NestedObject); } - expect(records).toEqual([{ id: "1", person: { skills: "typescript" } }]); + expect(records).toEqual([{ id: "1", person: { skills: ["typescript"] } }]); }); }); - describe("Empty values", () => { - it("should omit empty values from result", async () => { - const csvContent = `id,name,email -1,Alice,`; + describe("Continuation row grouping", () => { + it("should group continuation rows by default", async () => { + const csvContent = `id,items[].name,items[].tags[] +1,item1,tag1 +,,tag2 +,,tag3 +,item2,tag4`; const stream = Readable.from([csvContent]); const parser = new CsvStreamParser(); @@ -567,12 +570,99 @@ Line 2"`; records.push(record as NestedObject); } - expect(records).toEqual([{ id: "1", name: "Alice" }]); + expect(records).toEqual([ + { + id: "1", + items: [ + { name: "item1", tags: ["tag1", "tag2", "tag3"] }, + { name: "item2", tags: ["tag4"] }, + ], + }, + ]); + }); + + it("should group continuation rows when batching is enabled", async () => { + const csvContent = `id,items[].name,items[].tags[] +1,item1,tag1 +,,tag2 + +2,item2,tag3 +,,tag4`; + const stream = Readable.from([csvContent]); + const parser = new CsvStreamParser({ batchSize: 2 }); + + const batches: NestedObject[][] = []; + for await (const batch of stream.pipe(parser)) { + batches.push(batch as NestedObject[]); + } + + expect(batches).toEqual([ + [ + { id: "1", items: [{ name: "item1", tags: ["tag1", "tag2"] }] }, + { id: "2", items: [{ name: "item2", tags: ["tag3", "tag4"] }] }, + ], + ]); }); - it("should handle row with all empty values", async () => { + it("should respect identifierColumn in grouped mode", async () => { + const csvContent = `group,id,values[] +g1,1,a +,,b +g1,2,c`; + const stream = Readable.from([csvContent]); + const parser = new CsvStreamParser({ identifierColumn: "id" }); + + const records: NestedObject[] = []; + for await (const record of stream.pipe(parser)) { + records.push(record as NestedObject); + } + + expect(records).toEqual([ + { group: "g1", id: "1", values: ["a", "b"] }, + { group: "g1", id: "2", values: ["c"] }, + ]); + }); + + it("should throw when first data row is a continuation row", async () => { + const csvContent = `id,values[] +,a +1,b`; + const stream = Readable.from([csvContent]); + + await expect(CsvStreamParser.parseStream(stream)).rejects.toThrow("continuation row, but no base row exists"); + }); + + it("should throw when all columns are filtered out", async () => { + const csvContent = `id,name +1,Alice`; + const stream = Readable.from([csvContent]); + + await expect( + CsvStreamParser.parseStream(stream, { + includeColumns: ["missing"], + }) + ).rejects.toThrow("No columns available after filtering"); + }); + + it("should enforce maxContinuationGroupSize", async () => { + const csvContent = `id,values[] +1,a +,b +,c`; + const stream = Readable.from([csvContent]); + + await expect( + CsvStreamParser.parseStream(stream, { + maxContinuationGroupSize: 2, + }) + ).rejects.toThrow("Continuation group exceeded maxContinuationGroupSize (2)"); + }); + }); + + describe("Empty values", () => { + it("should omit empty values from result", async () => { const csvContent = `id,name,email -,,`; +1,Alice,`; const stream = Readable.from([csvContent]); const parser = new CsvStreamParser(); @@ -581,8 +671,15 @@ Line 2"`; records.push(record as NestedObject); } - // All empty values result in empty object - expect(records).toEqual([{}]); + expect(records).toEqual([{ id: "1", name: "Alice" }]); + }); + + it("should throw when row with all empty values starts a group", async () => { + const csvContent = `id,name,email +,,`; + await expect(CsvStreamParser.parseStream(Readable.from([csvContent]))).rejects.toThrow( + "continuation row, but no base row exists" + ); }); }); @@ -730,16 +827,19 @@ Line 2"`; ]); }); - it("should support nested: false option for flat records", async () => { - const csvContent = `id,person.name,person.age -1,Alice,25`; + it("should group continuation rows in parseStream API", async () => { + const csvContent = `id,tags[] +1,a +,b +2,c`; const stream = Readable.from([csvContent]); - const records = await CsvStreamParser.parseStream(stream, { - nested: false, - }); + const records = await CsvStreamParser.parseStream(stream); - expect(records).toEqual([{ id: "1", "person.name": "Alice", "person.age": "25" }]); + expect(records).toEqual([ + { id: "1", tags: ["a", "b"] }, + { id: "2", tags: ["c"] }, + ]); }); it("should parse nested objects by default", async () => { diff --git a/tests/json-to-csv.test.ts b/tests/json-to-csv.test.ts index 7efbd44..31f9a0a 100644 --- a/tests/json-to-csv.test.ts +++ b/tests/json-to-csv.test.ts @@ -194,11 +194,30 @@ describe("JsonToCsv", () => { const result = JsonToCsv.stringify(data); - // Check headers exist + // Check headers and values are emitted for object-array rows expect(result).toContain("phones.type"); expect(result).toContain("phones.number"); - // Note: The actual structure of nested arrays of objects may vary - // based on implementation - just verify headers are present + expect(result).toContain("mobile"); + expect(result).toContain("home"); + expect(result).toContain("555-0001"); + expect(result).toContain("555-0002"); + }); + + it("should include headers that only appear in later object-array elements", () => { + const data = [ + { + id: "1", + phones: [ + { type: "mobile", number: "555-0001", extension: "" }, + { type: "home", number: "555-0002", extension: "123" }, + ], + }, + ]; + + const result = JsonToCsv.stringify(data); + + expect(result).toContain("phones.extension"); + expect(result).toContain("123"); }); it("should handle empty arrays", () => {