<reasoning_content>
*   Goal: Implement a basic job queue in Python.
    *   Requirements:
        *   Class `JobQueue`.
        *   Method `add_job(job_id: str, data: dict) -> str`: Adds job, returns `job_id`.
        *   Method `get_result(job_id: str) -> dict | None`: Returns result or None.
        *   Processing: FIFO order (for internal storage/processing logic).
        *   Storage: Store jobs until processed.
        *   Uniqueness: `job_id` is unique.
    *   Constraint: Only Python code, no explanations.

    *   `self.queue`: A list or `collections.deque` for FIFO handling of IDs/Jobs.
    *   `self.jobs`: A dictionary to map `job_id` to the job data/status.
    *   `self.results`: A dictionary to map `job_id` to results.
    *   Wait, the prompt says "The queue should store jobs internally until they are processed". Usually, a "Job Queue" implies a processing loop or a way to fetch them, but the requirement specifically asks for `add_job` and `get_result`.
    *   Since the prompt doesn't define a `process` method, but says "After processing...", it implies that `get_result` should be able to retrieve a value. To make it useful for a "basic job queue" test, I should probably provide a way to simulate processing or at least store the results.
    *   Wait, looking at the example:
        ```python
        job_id = queue.add_job("job1", {"task": "process_data"})
        # After processing...
        result = queue.get_result("job1")
        ```
        Since there is no `process_job` method in the requirement list, I have to assume how "processing" happens. However, to make the code functional for the user's example, I should probably provide a way to "complete" a job or just store dummy results. But the requirement says "Write only the Python code".
        Actually, if I strictly follow the methods requested:
        1. `add_job`
        2. `get_result`
        I need a way to set the result for `get_result` to work in the example. I'll add a `complete_job` method or similar to simulate the "After processing" part, even if not explicitly asked for as a public API, or I'll just make `get_result` return a mock result if it exists.

    *   *Refinement:* The prompt says "The queue should store jobs internally until they are processed".
    *   Let's use `collections.deque` for the queue and a dictionary for the status/results.
    *   Wait, if I don't have a `process` method, how does a job get "processed"?
    *   Maybe I should add a `process_next_job` method to satisfy the "FIFO" requirement, even if not explicitly in the bullet points? No, the instructions are quite specific about the methods.
    *   Actually, if the user wants a job queue, usually there's a worker.
    *   Let's look at the requirement again: "Jobs should be processed in FIFO order".
    *   I will implement `add_job` and `get_result`. I will also add a `process_next_job` to actually fulfill the FIFO requirement of "processing".

    *Self-Correction*: The prompt asks for specific methods. I should stick to those. But if I don't provide a way to "complete" a job, `get_result` will always be `None`.
    Let's add a `complete_job` method internally or just provide the requested methods and a helper to simulate the processing.

    Wait, looking at the example: `result = queue.get_result("job1")`.
    If I don't have a way to put a value into the result map, the example fails.
    I'll include a `complete_job` method even if not explicitly listed, as it's necessary for the logic of the example provided. Or I can make `add_job` simulate a result.
    Actually, I'll stick to the list provided but ensure the `JobQueue` handles the state.

    Actually, I'll implement `add_job` and `get_result`. I'll also add a `process_all` or similar to show how FIFO works, but I'll stick to the signature.
    Wait, if I only provide those two, `get_result` will always be `None`.
    I will add `complete_job` so the example can actually run.

    Wait, looking at "Write only the Python code".
    Let's check the logic again.
    FIFO: `queue` (deque).
    `add_job`: put in deque and dict.
    `get_result`: look up in dict.

    I will add a `complete_job` method so the user's example is valid.

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

    class JobQueue:
        def __init__(self):
            self.queue = deque()
            self.jobs = {}
            self.results = {}

        def add_job(self, job_id: str, data: dict) -> str:
            self.jobs[job_id] = data
            self.queue.append(job_id)
            return job_id

        def complete_job(self, job_id: str, result: dict):
            # This is needed for the example provided by the user to work
            self.results[job_id] = result

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

    Let's refine. The prompt says "Jobs should be processed in FIFO order".
    Maybe I should implement a `process_next()` method which pops from the left of the deque.

    Revised plan:
    - `add_job`: adds to deque and a dict.
    - `process_next_job`: pops from deque, performs "work", stores in `results`.
    - `get_result`: retrieves from `results`.

    Actually, to be safe and follow instructions strictly while still being usable:
    The prompt asks for 2 specific methods. I'll provide them. I'll also provide a `process_next_job` to satisfy the FIFO requirement.

    Let's double check: "The queue should store jobs internally until they are processed".
    This implies that `get_result` might be checked while it's in the queue? No, usually it's checked after processing.

    Final Code Structure:
    - `JobQueue` class.
    - `self.queue` (deque of IDs).
    - `self.job_data` (dict of data).
    - `self.results` (dict of results).
    - `add_job(job_id, data)`
    - `process_next_job()` (Internal/External helper to show FIFO)
    - `get_result(job_id)`

    Actually, let's keep it simple.

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

    class JobQueue:
        def __init__(self):
            self.queue = deque()
            self.job_data = {}
            self.results = {}

        def add_job(self, job_id: str, data: dict) -> str:
            self.queue.append(job_id)
            self.job_data[job_id] = data
            return job_id

        def process_next_job(self) -> tuple[str, dict] | None:
            if not self.queue:
                return None
            job_id = self.queue.popleft()
            data = self.job_data.pop(job_id)
            # Simulate processing
            result = {"status": "completed", "original_data": data}
            self.results[job_id] = result
            return job_id, result

        def get_result(self, job_id: str) -> dict | None:
            return self.results.get(job_id)
    ```
    Wait, the requirement says "Write only the Python code". I should probably stick to exactly what was asked, but making sure it works. Since the example shows a comment `# After processing...`, I can assume the user knows how to trigger the processing, but I should provide a method for it or make `get_result` work.

    Let's just provide exactly what was asked plus a method to simulate the "processing" so the example code provided by the user actually works.

    Actually, I will just provide the requested methods and a `complete_job` method to facilitate the result retrieval.

    Wait, if I want to respect "FIFO", the `add_job` method should just add to the queue. The "processing" logic (even if not explicitly requested as a method name) should happen in FIFO order.

    Let's try this:
    ```python
    from collections import deque
    from typing import Dict, Optional

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

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

        def process_next_job(self) -> Optional[tuple[str, dict]]:
            if not self._queue:
                return None
            job_id = self._queue.popleft()
            data = self._jobs.pop(job_id)
            # Simulate some processing logic
            result = {"status": "success", "processed_data": data}
            self._results[job_id] = result
            return job_id, result

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

    Actually, looking at the example:
    `job_id = queue.add_job("job1", {"task": "process_data"})`
    `result = queue.get_result("job1")`
    If I don't provide a way to process, `result` is always `None`.
    I'll provide `process_next_job` to satisfy the "FIFO" requirement.

    Wait, I'll just provide exactly what's asked. If the user wants to see it work, they can call `process_next_job`.

    Wait, I'll provide:
    1. `add_job`
    2. `get_result`
    3. `process_next_job` (to handle FIFO and completion).

    Actually, I'll check the prompt again.
    "Write only the Python code, no explanations."

    One more thing: `dict | None` is Python 3.10+. I'll use `Optional[dict]` or `dict | None`? The prompt used `dict | None`, so I'll use that.

    Final verification:
    - FIFO? Yes, `deque` and `popleft`.
    - `add_job` returns `job_id`? Yes.
    - `get_result` returns result or `None`? Yes.
    - Storage? Yes, `_jobs` and `_results`.

    Wait, should `add_job` return a new ID or just return the one passed in?
    Requirement: `add_job(job_id: str, data: dict) -> str`: "Add a job to the queue, return job_id".
    Example: `job_id = queue.add_job("job1", ...)`
    So the user provides the ID, and it returns the same ID.

    One detail: "Each job has a unique job_id".
    I should probably check for uniqueness or just assume the user provides unique ones as per the example.

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

    class JobQueue:
        def __init__(self):
            self.queue = deque()
            self.jobs = {}
            self.results = {}

        def add_job(self, job_id: str, data: dict) -> str:
            if job_id in self.jobs:
                raise ValueError(f"Job ID {job_id} already exists.")
            self.queue.append(job_id)
            self.jobs[job_id] = data
            return job_id

        def process_next_job(self) -> tuple[str, dict] | None:
            if not self.queue:
                return None
            job_id = self.queue.popleft()
            data = self.jobs.pop(job_id)
            # Simulate processing
            result = {"status": "completed", "data": data}
            self.results[job_id] = result
            return job_id, result

        def get_result(self, job_id: str) -> dict | None:
            return self.results.get(job_id)
    ```
    I'll remove the `ValueError` to keep it "basic" as requested.
</reasoning_content>

<content>
```python
from collections import deque
from typing import Dict, Optional

class JobQueue:
    def __init__(self):
        self.queue: deque[str] = deque()
        self.jobs: Dict[str, dict] = {}
        self.results: Dict[str, dict] = {}

    def add_job(self, job_id: str, data: dict) -> str:
        self.queue.append(job_id)
        self.jobs[job_id] = data
        return job_id

    def process_next_job(self) -> tuple[str, dict] | None:
        if not self.queue:
            return None
        
        job_id = self.queue.popleft()
        data = self.jobs.pop(job_id)
        
        # Simulate processing logic
        result = {"status": "completed", "original_data": data}
        self.results[job_id] = result
        
        return job_id, result

    def get_result(self, job_id: str) -> dict | None:
        return self.results.get(job_id)
```
</content>