feat: use msgspec JSON encoder

tests/test_reader.py

@@ -121,28 +121,28 @@ def test_reader_will_write_a_complicated_record(tmp_path: Path) -> None:
         },
         field10=True,
         field11=None,
-        field12=1,
+        field12=0.2,
     )
     with TsvRecordWriter.from_path(tmp_path / "test.txt", ComplexMetric) as writer:
         assert (tmp_path / "test.txt").read_text() == ""
         writer.write(metric)
-    assert (tmp_path / "test.txt").read_text() == "\t".join([
-        "1",
-        "'my\tname'",
-        "0.2",
-        "[1, 2, 3]",
-        "[3, 4, 5]",
-        "[5, 6, 7]",
-        '{"field1": 1, "field2": 2}',
-        '{"field1": 10, "field2": "hi-mom", "field3": null}',
-        ", ".join([
-            r'{"first": {"field1": 2, "field2": "hi-dad", "field3": 0.2}',
-            r'"second": {"field1": 3, "field2": "hi-all", "field3": 0.3}}',
-        ]),
-        "true",
-        "null",
-        "1\n",
-    ])
+
+    expected: str = (
+        "1"
+        + "\t'my\tname'"
+        + "\t0.2"
+        + "\t[1,2,3]"
+        + "\t[3,4,5]"
+        + "\t[5,6,7]"
+        + '\t{"field1":1,"field2":2}'
+        + '\t{"field1":10,"field2":"hi-mom","field3":null}'
+        + '\t{"first":{"field1":2,"field2":"hi-dad","field3":0.2}'
+        + ',"second":{"field1":3,"field2":"hi-all","field3":0.3}}'
+        + "\ttrue"
+        + "\tnull"
+        + "\t0.2\n"
+    )
+    assert (tmp_path / "test.txt").read_text() == expected
 
     with TsvRecordReader.from_path(tmp_path / "test.txt", ComplexMetric, header=False) as reader:
         assert list(reader) == [metric]

tests/test_writer.py

@@ -96,23 +96,22 @@ def test_writer_will_write_a_complicated_record(tmp_path: Path) -> None:
     with TsvRecordWriter.from_path(tmp_path / "test.txt", ComplexMetric) as writer:
         assert (tmp_path / "test.txt").read_text() == ""
         writer.write(metric)
-    assert (tmp_path / "test.txt").read_text() == "\t".join([
-        "1",
-        "'my\tname'",
-        "0.2",
-        "[1, 2, 3]",
-        "[3, 4, 5]",
-        "[5, 6, 7]",
-        '{"field1": 1, "field2": 2}',
-        '{"field1": 10, "field2": "hi-mom", "field3": null}',
-        ", ".join([
-            r'{"first": {"field1": 2, "field2": "hi-dad", "field3": 0.2}',
-            r'"second": {"field1": 3, "field2": "hi-all", "field3": 0.3}}',
-        ]),
-        "true",
-        "null",
-        "0.2\n",
-    ])
+    expected: str = (
+        "1"
+        + "\t'my\tname'"
+        + "\t0.2"
+        + "\t[1,2,3]"
+        + "\t[3,4,5]"
+        + "\t[5,6,7]"
+        + '\t{"field1":1,"field2":2}'
+        + '\t{"field1":10,"field2":"hi-mom","field3":null}'
+        + '\t{"first":{"field1":2,"field2":"hi-dad","field3":0.2}'
+        + ',"second":{"field1":3,"field2":"hi-all","field3":0.3}}'
+        + "\ttrue"
+        + "\tnull"
+        + "\t0.2\n"
+    )
+    assert (tmp_path / "test.txt").read_text() == expected
 
 
 def test_writer_can_write_with_a_custom_callback(tmp_path: Path) -> None:

typeline/_reader.py

@@ -211,7 +211,7 @@ def from_path(
         """Construct a delimited data reader from a file path.
 
         Args:
-            path: the pat to the file to read delimited data from.
+            path: the path to the file to read delimited data from.
             record_type: the type of the object we will be writing.
             header: whether we expect the first line to be a header or not.
             comment_prefixes: skip lines that have any of these string prefixes.

typeline/_writer.py

@@ -1,5 +1,4 @@
 import csv
-import json
 from abc import ABC
 from abc import abstractmethod
 from contextlib import AbstractContextManager
@@ -16,6 +15,7 @@
 from typing import final
 
 from msgspec import to_builtins
+from msgspec.json import Encoder as JSONEncoder
 from typing_extensions import Self
 from typing_extensions import override
 
@@ -39,12 +39,18 @@ def __init__(self, handle: TextIOWrapper, record_type: type[RecordType]) -> None
         if not is_dataclass(record_type):
             raise ValueError("record_type is not a dataclass but must be!")
 
+        # Initialize and save internal attributes of this class.
         self._handle: TextIOWrapper = handle
         self._record_type: type[RecordType] = record_type
 
+        # Inspect the record type and save the fields, field names, and field types.
         self._fields: tuple[Field[Any], ...] = fields_of(record_type)
         self._header: list[str] = [field.name for field in fields_of(record_type)]
 
+        # Build a JSON encoder for intermediate data conversion (after dataclass, before delimited).
+        self._encoder: JSONEncoder = JSONEncoder()
+
+        # Build the delimited dictionary reader, filtering out any comment lines along the way.
         self._writer: DictWriter[str] = DictWriter(
             handle,
             fieldnames=self._header,
@@ -90,8 +96,10 @@ def write(self, record: RecordType) -> None:
             )
 
         encoded = {name: self._encode(getattr(record, name)) for name in self._header}
-        builtin = {
-            name: (json.dumps(value) if not isinstance(value, str) else value)
+        builtin: dict[str, str] = {
+            name: (
+                self._encoder.encode(value).decode("utf-8") if not isinstance(value, str) else value
+            )
             for name, value in cast(dict[str, Any], to_builtins(encoded, str_keys=True)).items()
         }
         self._writer.writerow(builtin)
@@ -112,7 +120,12 @@ def close(self) -> None:
     def from_path(
         cls, path: Path | str, record_type: type[RecordType]
     ) -> "DelimitedRecordWriter[RecordType]":
-        """Construct a delimited struct writer from a file path."""
+        """Construct a delimited data writer from a file path.
+
+        Args:
+            path: the path to the file to write delimited data to.
+            record_type: the type of the object we will be writing.
+        """
         writer = cls(Path(path).open("w"), record_type)
         return writer