shareAI-lab/learn-claude-code · error · ValueError

Task file ID does not match {task_id}

Error message

Task file ID does not match {task_id}

What it means

load_task() reads <task_id>.json, deserializes it into a Task, and verifies the JSON's internal 'id' field equals the filename stem. A mismatch means the file was renamed, hand-edited, or copied without updating its contents — the store's filename/content invariant is broken, so the record is rejected rather than silently returned.

Source

Thrown at s15_integrated_harness/code.py:256

        path = _task_path(task.id)
        temporary = path.with_name(
            f".{path.name}.{os.getpid()}.{threading.get_ident()}.tmp"
        )
        try:
            temporary.write_text(
                json.dumps(asdict(task), indent=2), encoding="utf-8"
            )
            os.replace(temporary, path)
        finally:
            temporary.unlink(missing_ok=True)


def load_task(task_id: str) -> Task:
    with task_lock:
        data = json.loads(_task_path(task_id).read_text(encoding="utf-8"))
        task = Task(**data)
        if task.id != task_id:
            raise ValueError(f"Task file ID does not match {task_id}")
        if task.status not in {"pending", "in_progress", "completed"}:
            raise ValueError(f"Invalid task status: {task.status}")
        return task


def list_tasks() -> list[Task]:
    with task_lock:
        if not TASKS_DIR.exists():
            return []
        if not TASKS_ROOT.is_relative_to(WORKDIR.resolve()):
            raise ValueError("Tasks directory escapes workspace")
        return [load_task(path.stem)
                for path in sorted(TASKS_DIR.glob("task_*.json"))]


def get_task_json(task_id: str) -> str:
    return json.dumps(asdict(load_task(task_id)), indent=2)

View on GitHub (pinned to 985456f4ad)

Solutions

  1. Never rename or copy task files by hand — use create_task() and update via save_task().
  2. If a file was renamed, update its internal "id" field to match the new filename stem.
  3. Delete the corrupted file and recreate the task through the API.

Example fix

// before (shell)
$ cp .tasks/task_0a1b2c3d.json .tasks/task_9f8e7d6c.json

// after (python)
new = create_task(orig.subject, orig.description, blockedBy=orig.blockedBy)
Defensive patterns

Strategy: validation

Validate before calling

import json
from pathlib import Path

def task_file_consistent(p: Path) -> bool:
    try:
        return json.loads(p.read_text())["id"] == p.stem
    except Exception:
        return False

Try / catch

try:
    task = load_task(task_id)
except ValueError as e:
    if "ID does not match" in str(e):
        # file renamed/hand-edited: reconcile id field with filename or recreate
        raise

Prevention

When it happens

Trigger: Manually renaming a task_*.json file; copying a task file to a new name as a 'duplicate'; editing the JSON's id field by hand; a buggy external script rewriting task files.

Common situations: Developers cloning a task by cp task_a.json task_b.json; sed-based bulk edits of task files; manual 'fixes' to the tasks directory outside the API.

Related errors


AI-assisted analysis of shareAI-lab/learn-claude-code@985456f4ad (2026-08-14). Data as JSON: /api/errors/7acfd155f40f80a7. Report an issue: GitHub.