<reasoning_content>
*   Task: Implement a basic job queue in Python.
    *   Class: `JobQueue`.
    *   Methods:
        *   `add_job(job_id: str, data: dict) -> str`: Adds a job, returns `job_id`.
        *   `get_result(job_id: str) -> dict | None`: Gets the result of a completed job.
    *   Requirement 1: FIFO (First-In-First-Out).
    *   Requirement 2: Store jobs internally until processed.
    *   Requirement 3: Unique `job_id`.
    *   Wait, the prompt says "After processing...". However, the provided methods `add_job` and `get_result` don't include a `process_job` or `worker` mechanism.
    *   Looking at the requirements again: "Jobs should be processed in FIFO order". This implies there should be a way to trigger processing or a background worker.
    *   However, the prompt only explicitly asks for `add_job` and `get_result`. Usually, in these coding challenges, if a method isn't explicitly asked for but "processing" is mentioned, I might need to implement a way to simulate processing or provide a method to run the queue.
    *   Let's look at the example: `job_id = queue.add_job(...)`, then `result = queue.get_result(...)`.
    *   If I only implement `add_job` and `get_result`, how does the job get "processed"?
    *   Standard approach for "basic job queue" interview questions:
        1.  `add_job`: pushes to a queue.
        2.  A method (let's call it `process_next_job` or `run`) to take a job from the queue, do something, and save the result.
    *   Wait, the requirement says "Each job has a unique job_id that is returned when added". The user provides `job_id` in `add_job("job1", ...)`. So the parameter `job_id` is the ID, not something the queue generates? The signature says `add_job(job_id: str, data: dict) -> str`. If the user provides it, I return it.
    *   Since the prompt asks for a "basic job queue" but only defines two methods, and the example shows a gap ("After processing..."), I should probably include a method to actually process the jobs, or at least implement the storage for results.
    *   Let's add a `process_job()` method or a `run()` method to make it functional, but the prompt specifically says "Create a JobQueue class with the *following* methods". I shouldn't add extra methods unless necessary for the logic.
    *   Actually, looking at the requirements: "Jobs should be processed in FIFO order". This implies there is a processing mechanism. I will implement a `process_jobs()` method or similar to make the example work, but I'll stick as close to the signature as possible.
    *   Wait, if I'm strictly following "Create a class with the following methods", I should only have those two. But then `get_result` would always return `None` because nothing processes them.
    *   Perhaps the "processing" is meant to be simulated or I should provide a `process_next` method.
    *   Let's look at the requirement again: "The queue should store jobs internally until they are processed".
    *   Let's implement:
        - `self.queue`: a `collections.deque` for FIFO.
        - `self.results`: a `dict` to store results.
        - `add_job`: append to queue.
        - `get_result`: lookup in results.
        - To make it a "queue" that actually does something, I'll add a `process_next_job` method so the user can actually use the "After processing" part of the example.

    *   Refined Plan:
        1. `collections.deque` for the queue.
        2. `dict` for results.
        3. `add_job` appends `(job_id, data)` to deque.
        4. `process_next_job` pops from deque, does some dummy work (or takes a callback, but let's keep it simple: just moves it to results), and stores result.
        5. `get_result` returns result.

    *   Wait, if I add a method not in the list, am I violating "Create a JobQueue class with the *following* methods"?
    *   Actually, many coding prompts like this assume there's a way to trigger the logic.
    *   Let's assume the user wants to see a complete working implementation. I will include a `process_job` method to allow the "After processing" step in the example to make sense.

    *   Wait, looking at the requirement: "Each job has a unique job_id that is returned when added". The parameter is `job_id`.
    *   Let's write the code.

    *   `collections.deque` for FIFO.
    *   `dict` for results.
    *   `add_job(job_id, data)` -> `self.queue.append((job_id, data))`.
    *   `process_next_job()` -> `job_id, data = self.queue.popleft()`, `self.results[job_id] = {"status": "completed", "data": data}`.
    *   `get_result(job_id)` -> `self.results.get(job_id)`.

    *   Wait, the prompt says "Write only the Python code, no explanations."

    *   Let's double check the requirements.
    *   `add_job(job_id: str, data: dict) -> str`: return `job_id`.
    *   `get_result(job_id: str) -> dict | None`: return result.
    *   FIFO order.
    *   Store until processed.
    *   Unique job_id.

    If I don't add a processing method, the queue is just a list that accepts input and never produces output. I'll add `process_next_job`.

    *Self-Correction*: If I want to be strictly compliant with "Create a JobQueue class with the following methods", I should only have those two. But the requirement "Jobs should be processed in FIFO order" implies processing happens. If I don't provide a way to process, the implementation is incomplete. However, I will implement the class such that `process_next_job` is available.

    Actually, looking at typical "implement X" tasks, if they don't define the processing logic, I'll implement a method `process_next_job` that simulates a task.

    ```python
    from collections import deque
    from typing import Dict, Optional, Any

    class JobQueue:
        def __init__(self):
            self._queue = deque()
            self._results = {}

        def add_job(self, job_id: str, data: dict) -> str:
            self._queue.append((job_id, data))
            return job_id

        def process_next_job(self):
            if not self._queue:
                return
            job_id, data = self._queue.popleft()
            # Simulate processing
            result = {"processed_data": data}
            self._results[job_id] = result

        def get_result(self, job_id: str) -> Optional[Dict[str, Any]]:
            return self._results.get(job_id)
    ```

    Wait, if the user wants the class to follow the instructions *exactly*, I should probably include the processing method as it's the only way to satisfy "Jobs should be processed in FIFO order".

    One more thing: the prompt asks for `dict | None`. This is Python 3.10+ syntax. I will use it.

    Final check on constraints:
    - `add_job` returns `job_id`.
    - `get_result` returns `dict | None`.
    - FIFO.
    - Unique `job_id`.

    Let's ensure `add_job` doesn't allow duplicate `job_id`s if it's supposed to be unique? The requirement says "Each job has a unique job_id". It doesn't say "Check if it's unique", but a robust implementation would. However, I'll keep it simple.

    Actually, I'll add a `process_job` method to ensure the logic is testable and fulfills the "After processing" requirement in the example.

    ```python
    from collections import deque
    from typing import Any

    class JobQueue:
        def __init__(self):
            self._queue = deque()
            self._results = {}

        def add_job(self, job_id: str, data: dict) -> str:
            self._queue.append((job_id, data))
            return job_id

        def process_next_job(self) -> None:
            if self._queue:
                job_id, data = self._queue.popleft()
                # Simulated processing: just return the data back with a status
                self._results[job_id] = {"status": "success", "result": data}

        def get_result(self, job_id: str) -> dict | None:
            return self._results.get(job_id)

    if __name__ == "__main__":
        queue = JobQueue()
        job_id = queue.add_job("job1", {"task": "process_data"})
        queue.process_next_job()
        result = queue.get_result("job1")
        print(result)
    ```

    This looks solid.

    Wait, if I include `if __name__ == "__main__":`, is that okay? The prompt says "Write only the Python code". I will just provide the class.

    One small detail: "Jobs should be processed in FIFO order". My `process_next_job` uses `popleft()`, which is FIFO.

    Final Class structure:
    - `__init__`
    - `add_job`
    - `process_next_job` (to make the queue actually work)
    - `get_result`

    Let's make sure I use the exact signature requested.
    `add_job(job_id: str, data: dict) -> str`
    `get_result(job_id: str) -> dict | None`

    I will use `from __future__ import annotations` or just ensure it's compatible with modern Python if using `|`. Since I don't know the environment, I'll assume 3.10+.

    Final check of requirements:
    1. `JobQueue` class with `add_job` and `get_result`. (Check)
    2. FIFO. (Check)
    3. Store jobs internally. (Check)
    4. Unique job_id returned. (Check)

    The prompt asks for "only the Python code, no explanations".

    One edge case: if `add_job` is called with a `job_id` that is already in the queue or already processed? The prompt says "Each job has a unique job_id". I will assume the caller provides unique IDs or I'll just treat the provided ID as the key.

    Wait, looking at the example again:
    `job_id = queue.add_job("job1", {"task": "process_data"})`
    The user provides the ID. The signature is `add_job(job_id: str, data: dict) -> str`.

    Ok, ready.
</reasoning_content>

<content>
```python
from collections import deque
from typing import Any

class JobQueue:
    def __init__(self):
        self._queue = deque()
        self._results = {}

    def add_job(self, job_id: str, data: dict) -> str:
        """Add a job to the queue."""
        self._queue.append((job_id, data))
        return job_id

    def process_next_job(self) -> None:
        """
        Processes the next job in the queue in FIFO order.
        Simulates processing by returning the input data in a result dictionary.
        """
        if not self._queue:
            return

        job_id, data = self._queue.popleft()
        # Simulate job processing
        self._results[job_id] = {
            "status": "completed",
            "output": data
        }

    def get_result(self, job_id: str) -> dict | None:
        """Get the result of a completed job."""
        return self._results.get(job_id)
```
</content>