csv_plus 1.0.1

csv_plus: ^1.0.1 copied to clipboard

Documentation and metadata only; no library or API changes.

• Reworked the README (clearer structure, added the logo screenshot, and broader keyword coverage) and refined the pub.dev topics for discoverability.
• Switched the head-to-head benchmark to compare against serial_csv in place of fast_csv.

First stable release: one documented parsing semantics across every decode path, streaming you can trust, data-loss guards on type inference, and public benchmark receipts. The API is now frozen under semantic versioning.

One parsing semantics (breaking behavior alignments) #

The batch decoder, string decoder, and streaming decoder previously disagreed on edge cases. All paths now produce identical output, enforced by a conformance suite that also splits input at every chunk boundary (test/conformance_test.dart).

• An empty line reads as a row with one empty field ([''], or [null] with typing), per RFC 4180 and matching csv 8 and fast_csv. With skipEmptyLines (default), rows of a single empty field are dropped; rows of several empty fields (,,) are now always kept (previously decodeStrings dropped them).
• Text after a closing quote is appended to the field, so "a"x reads ax (Excel behavior). Previously the batch decoder produced an extra cell and the streaming decoder swallowed the following delimiter.
• With hasHeader, the header row is read as raw strings on every path: a header cell 01 stays 01 (previously typed then stringified to 1), and decoderTransform is not applied to it.
• Quoted fields are never type-inferred on any path.

Type inference guards (data safety) #

FastDecoder.inferType is now the single shared inference used by all typed paths, with guards against silent corruption:

• Leading zeros (007), leading plus (+1), and surrounding whitespace stay text (previously ' 42' typed differently per path).
• Digit runs longer than 15 stay text on every platform, keeping VM and web results identical (web ints lose precision past 2^53).
• Values that would parse to a non-finite double (1e999) stay text.

Typed decoders no longer invent data (breaking) #

• decodeIntegers / decodeDoubles / decodeBooleans throw CsvParseException (with row and column) on invalid cells instead of coercing them; empty cells throw unless an explicit emptyAs: fill is passed (previously empty became 0 / 0.0 and any non-true value became false).
• decodeBooleans truth table is documented and case-insensitive: true/1 and false/0.
• decodeFlexible uses config.quoteCharacter when restoring an unmatched quote (previously hardcoded "), and reads empty fields as '' instead of null when typing is off.

Streaming you can trust #

• CsvDecoder.bind and CsvEncoder.bind honor downstream backpressure (pause/resume/cancel propagate to the source), so a slow consumer no longer buffers the whole input in memory, and the output stream closes after an upstream error instead of hanging.
• Multi-character delimiters split across chunk boundaries now parse correctly (previously they became field text).
• New CsvDecoder.bindBytes / CsvEncoder.bindBytes for UTF-8 byte streams without manual utf8 wiring.
• CsvFile.writeStream closes the file even when the source stream errors.

New: strict mode #

CsvConfig(strict: true) throws CsvParseException with row and column on structurally malformed input (text after a closing quote, unterminated quote) instead of recovering. Lenient stays the default.

Fixed #

• decodeWithHeaders parsed the entire input twice; it is now single pass and roughly twice as fast (fastest in the ecosystem on this workload, previously the single lost benchmark).
• CsvTable.map handed live row lists to its transform, so writing through the row mutated the source table. The transform now receives a copy; the source is never modified.
• Delimiter autodetect no longer misreads single-column text containing semicolons as two columns: a candidate must appear on every sampled line to qualify (csv 8 still has this failure).
• CsvTable.parse headers are raw strings (01 stays 01).
• All table sorts are stable, and nulls sort last in both directions. Mixed-type columns sort numbers before string look-alikes instead of comparing "10" < "9" lexicographically.
• distinct() keys are type-aware (1, 1.0, and "1" are distinct) and immune to separator collisions in string content.
• encodeGeneric<String> quotes strings containing delimiters instead of producing corrupt CSV; QuoteMode.always writes null as "".
• Batch and streaming encoders share one cell-writing implementation.

Changed #

• ColumnDef is renamed CsvColumnDef (a deprecated typedef keeps old code compiling).
• DelimiterDetector left the default csv_plus.dart namespace; import package:csv_plus/decoder.dart to use it directly.
• CsvTable documents its mutation rule: table-returning methods copy, void methods mutate in place. New stable sortedBy() returns a sorted copy.
• Releases are gated: the publish workflow now runs format, analyze, tests, and a publish dry-run before tagging or publishing, and CI runs a stable + minimum SDK matrix plus wasm and pana jobs.

Benchmarks #

Fastest on every measured workload (decode, typed decode, autodetect, quote-heavy, encode, decodeWithHeaders) against csv 8.0.0, fast_csv 0.2.11, and serial_csv 0.5.2, on JIT and AOT. The reproducible harness and full tables live in benchmark/compare/.

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Documentation #

• Redesigned README with hero layout, badges, feature table, and quick start examples
• Added 8 mini-library files for dartdoc sidebar navigation (core, codec, encoder, decoder, table, query, transform, io)
• Enhanced barrel export lib/csv_plus.dart with library modules reference

Meta #

• Added MIT LICENSE file
• SEO-optimized pubspec description and topics for pub.dev
• Added CI workflow (analyze, format, test on PRs)
• Added publish workflow (auto-tag + publish to pub.dev)

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Core #

• CsvConfig: immutable configuration with presets: CsvConfig(), .excel(), .tsv(), .pipe()
• CsvConfig.copyWith(): create modified copies
• QuoteMode enum: necessary, always, strings
• CsvException, CsvParseException, CsvValidationException: typed error hierarchy

Encoding #

• FastEncoder: high-performance batch encoder with encode(), encodeStrings(), encodeGeneric<T>(), encodeMap()
• CsvEncoder: streaming encoder as StreamTransformer with bind(), convert(), startChunkedConversion()
• CsvEncoder.encodeField(): static helper for single-field quoting
• codeUnit-based _needsQuoting() for multi-char delimiter support

Decoding #

• FastDecoder: byte-level batch decoder with codeUnits parsing, labeled-loop control flow, first-byte type inference
• Decode variants: decode(), decodeStrings(), decodeFlexible(), decodeIntegers(), decodeDoubles(), decodeBooleans()
• CsvDecoder: chunked state-machine streaming decoder with bind(), convert(), startChunkedConversion()
• Handles chunk boundaries splitting mid-field, mid-escape, mid-CRLF
• DelimiterDetector: frequency/consistency scoring across candidates [, ; \t |], BOM strip, sep= hint

Facade #

• CsvCodec: main API with all decode/encode methods, presets, auto-detection
• CsvCodec.decodeToTable(), decodeMap(), encodeMap()
• CsvCodec.decoder / encoder: streaming transformer getters
• CsvCodecAdapter: Codec<List<List<dynamic>>, String> for dart:convert pipelines and .fuse()
• csvPlus, csvExcel, csvTsv: global convenience instances

CsvTable (50+ methods) #

• Constructors: CsvTable(), .withHeaders(), .fromData(), .fromMaps(), .parse(), .empty()
• Access: operator [], cell(), cellByName(), setCell(), setCellByName(), column(), columnAt(), getColumn(), getColumnAt()
• Row ops: addRow(), addRowFromMap(), addRows(), insertRow(), removeRow(), removeWhere()
• Column ops: addColumn(), insertColumn(), removeColumn(), removeColumnAt(), renameColumn(), reorderColumns()
• Query: where(), firstWhere(), any(), every(), range(), take(), skip(), distinct()
• Sort: sortBy(), sortByIndex(), sortByMultiple(), sort()
• Transform: transformColumn(), map(), fold<T>()
• Aggregate: count(), sum(), avg(), min(), max(), groupBy()
• Export: toList(), toMaps(), toCsv(), toString(), toFormattedString(), copy()
• Validation: validate(), conformsTo(), inferSchema()

CsvRow #

• Dual-mode access: row[0] (int) and row['name'] (String)
• set(), headerMap, hasHeaders, headers, containsHeader(), toMap(), getHeaderName(), toString()

CsvColumn #

• Column descriptor with name, index, values, inferredType, nonNullCount, nullCount, uniqueCount

CsvSchema & ColumnDef #

• Schema definition with columns, allowExtraColumns, allowMissingColumns
• CsvSchema.infer(): infer types and nullability from data
• validate(): check required columns, types, nullability, patterns, custom validators
• ColumnDef with name, type, required, nullable, pattern, validator

CsvFile (dart:io) #

• Static methods: read(), readSync(), stream(), write(), writeSync(), writeRows(), writeStream(), append()
• Uses utf8.decoder for stream operations
• Isolated in io/csv_file.dart: core library stays platform-independent