<reasoning_content>
*   Goal: Implement a basic `JobQueue` class in Python.
    *   Requirements:
        *   `add_job(job_id: str, data: dict) -> str`
        *   `get_result(job_id: str) -> dict | None`
        *   FIFO processing order.
        *   Store jobs until processed.
        *   Unique `job_id`.
    *   Constraints: Only Python code, no explanations.

    *   Need a list or a `deque` for the queue (FIFO).
    *   Need a dictionary to store results (keyed by `job_id`).
    *   Need a way to "process" the job. Wait, the prompt asks for a `JobQueue` class, but doesn't explicitly define a "worker" thread or a `process` method. Looking at the requirements again: "Jobs should be processed in FIFO order". Since there's no worker specified, I should probably implement a method to "process" jobs or assume that processing happens externally but the queue manages the state.
    *   Re-reading the example: `job_id = queue.add_job("job1", {"task": "process_data"})`. Then `result = queue.get_result("job1")`. This implies that the `JobQueue` class might need a method to trigger processing, or it's just a storage structure.
    *   Actually, a standard "Job Queue" implementation usually involves a way to run the jobs. However, the requirements only specify `add_job` and `get_result`.
    *   Let's look at requirement 2: "Jobs should be processed in FIFO order". To satisfy this, I should probably have a `process_jobs()` method or handle it internally. Since only two methods were requested but a "process" behavior was mentioned, I'll add a `process_next()` method or simply assume the user wants a structure where jobs are ordered.
    *   Wait, the prompt says "Create a JobQueue class with the following methods: [list of two]". It doesn't say *only* those methods, but usually, it's better to stick to the requirements.
    *   How can a job be "processed" if there's no call to a processing function? I'll provide a way to process jobs so that `get_result` actually works for completed jobs.
    *   Actually, I'll just implement the two requested methods and a private/helper logic to handle the FIFO processing if I were to add a process method, but I'll stick to the requirements.
    *   Wait, if I only have `add_job` and `get_result`, how does the job ever finish? I need a `process_jobs` method or something similar to move items from the queue to the results dictionary.

    *Revised Plan:*
    1. `self.queue`: A `collections.deque` to store `(job_id, data)`.
    2. `self.results`: A dictionary to store results.
    3. `add_job`: Appends to deque.
    4. `process_jobs`: (Optional but necessary for logic) Iterates through the queue and puts results in the dict. Since the prompt says "Jobs should be processed in FIFO order", I'll implement a method `process_next_job()` or similar, but the prompt didn't ask for it.
    5. Let's look at the prompt again: "The queue should store jobs internally until they are processed".
    6. Let's assume I need a method to actually *do* the work to satisfy the "processed" state. I'll add `process_jobs()` or just follow the prompt exactly and assume the user knows how to make it finish? No, that's not helpful.
    7. Let's stick to the prompt's requested methods strictly. I'll make `get_result` return `None` if not done. I'll add a `process_jobs` method anyway because otherwise the class is useless for the "processed" requirement.

    Actually, looking at common interview/coding tasks:
    A `JobQueue` usually has a way to run the tasks. I will include a `process_jobs` method to move items from the queue to the results.

    *Wait*, I just noticed the prompt says: "Write only the Python code, no explanations."

    Let's refine the class:
    ```python
    from collections import deque
    from typing import Dict, Optional

    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_jobs(self):
            while self.queue:
                job_id, data = self.queue.popleft()
                # Simulate processing
                self.results[job_id] = {"status": "completed", "data": data}

        def get_result(self, job_id: str) -> Optional[dict]:
            return self.results.get(job_id)
    ```
    The prompt didn't ask for `process_jobs`, but without it, the queue doesn't "process" anything. I'll check if there's a way to interpret "processed" without a specific method. Maybe the user wants a way to process them one by one.

    Actually, looking at the requirements again:
    1. `add_job`
    2. `get_result`
    3. FIFO order
    4. Store jobs until processed.

    I will provide the requested methods. I'll add a `process_jobs` method just to make the example usage actually work.

    Let's check the requirements once more.
    "Jobs should be processed in FIFO order".
    "The queue should store jobs internally until they are processed".

    I'll stick to the signature provided and add a simple internal processing mechanism if possible, or just provide the methods requested.

    Wait, I'll add a `process_jobs` method. It's standard for a JobQueue.

    *Refining code structure*:
    - Use `collections.deque` for O(1) popleft.
    - Use a dictionary for results.

    Let's re-read: "Create a JobQueue class with the following methods...".
    Usually, this means "at least these methods".

    One more thought: Maybe the user wants the `add_job` to be the only way to put things in, and they expect a worker thread? The prompt doesn't mention threading.

    I'll provide the class with the two required methods and one extra method `process_jobs` to actually fulfill the "processed" requirement.

    Actually, if I want to be strictly compliant, I should only have those two. But `get_result` will always return `None` if nothing is processed.
    I'll provide a `process_jobs` method as well.

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

    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_jobs(self) -> None:
            while self.queue:
                job_id, data = self.queue.popleft()
                # Simulating work
                self.results[job_id] = {"result": f"Processed {data}"}

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

    Wait, the prompt says "Write only the Python code".

    Let's double check the requirements.
    1. `add_job`
    2. `get_result`
    3. FIFO
    4. Unique `job_id` (returned when added).

    I'll implement exactly what's requested.

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

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

        def add_job(self, job_id: str, data: dict) -> str:
            self.queue.append({"id": job_id, "data": data})
            return job_id

        def process_jobs(self):
            while self.queue:
                job = self.queue.popleft()
                # Logic to process job would go here
                self.results[job["id"]] = {"status": "completed", "data": job["data"]}

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

    Actually, looking at the prompt's example:
    `job_id = queue.add_job("job1", {"task": "process_data"})`
    `# After processing...`
    `result = queue.get_result("job1")`
    The "# After processing..." comment implies there is a processing step happening outside or internally. Since the prompt doesn't specify a `process` method, I'll keep it minimal.

    Final check on requirements:
    - `add_job(job_id: str, data: dict) -> str`
    - `get_result(job_id: str) -> dict | None`
    - FIFO
    - Store internally until processed.
    - Unique job_id.

    I will implement the two requested methods. I'll also include a `process_jobs` method so the example can actually be completed.

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

    One last check on `dict | None`. This is Python 3.10+ syntax. I'll use that.
</reasoning_content>

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

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

    def add_job(self, job_id: str, data: dict) -> str:
        """Adds a job to the queue and returns the job_id."""
        self.queue.append({"id": job_id, "data": data})
        return job_id

    def process_jobs(self) -> None:
        """Processes all jobs in the queue in FIFO order."""
        while self.queue:
            job = self.queue.popleft()
            job_id = job["id"]
            data = job["data"]
            
            # Simulate job processing logic
            self.results[job_id] = {"status": "completed", "data": data}

    def get_result(self, job_id: str) -> dict | None:
        """Returns the result of a completed job, or None if not completed."""
        return self.results.get(job_id)
```
</content>