| """JSON and JSONL I/O helpers.""" |
|
|
| import json |
| import hashlib |
| import os |
| from pathlib import Path |
| import tempfile |
| from typing import TypeVar, Type |
|
|
| from pydantic import BaseModel |
|
|
| T = TypeVar("T", bound=BaseModel) |
|
|
|
|
| def sha256_file(path: Path) -> str: |
| """Hash files in bounded memory, including transferable image payloads.""" |
| digest = hashlib.sha256() |
| with Path(path).open("rb") as handle: |
| for block in iter(lambda: handle.read(1024 * 1024), b""): |
| digest.update(block) |
| return digest.hexdigest() |
|
|
|
|
| def append_jsonl(path: Path, item: BaseModel) -> None: |
| """Append a single Pydantic model as one JSON line.""" |
| with open(path, "a") as f: |
| f.write(item.model_dump_json() + "\n") |
|
|
|
|
| def write_jsonl(path: Path, items: list[BaseModel]) -> None: |
| """Write multiple Pydantic models as JSONL (append mode).""" |
| with open(path, "a") as f: |
| for item in items: |
| f.write(item.model_dump_json() + "\n") |
|
|
|
|
| def write_jsonl_atomic(path: Path, items: list[BaseModel]) -> None: |
| """Replace a JSONL artifact atomically rather than appending to it.""" |
| path.parent.mkdir(parents=True, exist_ok=True) |
| fd, temporary = tempfile.mkstemp(prefix=f".{path.name}.", dir=path.parent) |
| temporary_path = Path(temporary) |
| try: |
| os.fchmod(fd, 0o644) |
| with os.fdopen(fd, "w") as f: |
| for item in items: |
| f.write(item.model_dump_json() + "\n") |
| f.flush() |
| os.fsync(f.fileno()) |
| os.replace(temporary_path, path) |
| except BaseException: |
| temporary_path.unlink(missing_ok=True) |
| raise |
|
|
|
|
| def read_jsonl(path: Path, model_class: Type[T]) -> list[T]: |
| """Read a JSONL file and validate each line as a Pydantic model.""" |
| items: list[T] = [] |
| with open(path) as f: |
| for line in f: |
| line = line.strip() |
| if line: |
| items.append(model_class.model_validate_json(line)) |
| return items |
|
|
|
|
| def write_json(path: Path, data: dict | BaseModel) -> None: |
| """Write a dict or Pydantic model to a JSON file.""" |
| with open(path, "w") as f: |
| if isinstance(data, BaseModel): |
| f.write(data.model_dump_json(indent=2)) |
| else: |
| json.dump(data, f, indent=2, default=str) |
|
|
|
|
| def write_json_atomic(path: Path, data: dict | BaseModel) -> None: |
| """Write JSON via an adjacent temporary file, then atomically replace it.""" |
| path.parent.mkdir(parents=True, exist_ok=True) |
| fd, temporary = tempfile.mkstemp(prefix=f".{path.name}.", dir=path.parent) |
| temporary_path = Path(temporary) |
| try: |
| |
| |
| |
| os.fchmod(fd, 0o644) |
| with os.fdopen(fd, "w") as f: |
| if isinstance(data, BaseModel): |
| f.write(data.model_dump_json(indent=2)) |
| else: |
| json.dump(data, f, indent=2, default=str) |
| f.flush() |
| os.fsync(f.fileno()) |
| os.replace(temporary_path, path) |
| except BaseException: |
| temporary_path.unlink(missing_ok=True) |
| raise |
|
|
|
|
| def read_json(path: Path) -> dict: |
| """Read a JSON file and return as dict.""" |
| with open(path) as f: |
| return json.load(f) |
|
|
