<reasoning_content>
*   Goal: Implement a basic `JobQueue` class in Python.
    *   Methods required:
        *   `add_job(job_id: str, data: dict) -> str`
        *   `get_result(job_id: str) -> dict | None`
    *   Requirements:
        *   FIFO order.
        *   Store jobs internally.
        *   Unique `job_id` returned.
    *   Constraint: Write only Python code, no explanations.

    *   `queue`: A collection to hold the jobs in order (e.g., `collections.deque`).
    *   `results`: A dictionary to store results mapping `job_id` to the result data.
    *   `job_data`: A dictionary to store the input data associated with `job_id` (needed if the processing happens inside a loop/method, though the prompt doesn't specify a `process` method, just `add_job` and `get_result`).

    *Wait, the prompt says "Jobs should be processed...".* Usually, a job queue implies there is a worker or a way to process. However, the requirements only list two methods: `add_job` and `get_result`.
    Looking at the example:
    ```python
    job_id = queue.add_job("job1", {"task": "process_data"})
    # After processing...
    result = queue.get_result("job1")
    ```
    The prompt doesn't specify a `process_jobs()` method, but if I only have `add_job` and `get_result`, how does the job get "processed"?
    
    Perhaps the user wants me to include a method to process them, or they assume `add_job` puts it in a list and I need a way to move it to results. Since the prompt says "Jobs should be processed in FIFO order", I should probably provide a `process_next_job()` or similar, or just ensure the internal structure supports FIFO.
    
    Actually, looking at the requirements strictly:
    1. `add_job`
    2. `get_result`
    
    If I don't have a `process` method, `get_result` will always be `None` unless I provide a way to complete it. 
    Let's look at common "Job Queue" interview questions. Usually, there is a `process_jobs` method.
    
    Wait, let's re-read: "Jobs should be processed in FIFO order". 
    If I am only providing the class with those two methods, I'll implement a mock "processing" logic or a way to simulate it. Or maybe I should add a `process_jobs` method even if not explicitly requested, to make the class functional? 
    Actually, the prompt says "Create a JobQueue class with the **following** methods:". This usually means *only* those methods.
    
    If I only have `add_job` and `get_result`, how can a job be "processed"?
    Perhaps the user implies that I should implement a `process` method inside or simply that the *structure* supports FIFO. 
    
    Let's look at the provided example again:
    `# After processing...`
    This comment implies the processing happens *outside* the `JobQueue` class or by some other mechanism. 
    
    However, to fulfill "Jobs should be processed in FIFO order", the internal storage must be a Queue.
    To fulfill "Get the result of a completed job", there must be a way to mark a job as completed.
    
    If I only have `add_job` and `get_result`, I need a way to actually put a result in there. 
    Maybe I should add a `complete_job` method? Or should `add_job` trigger an internal process?
    
    Let's consider the most standard implementation:
    - `jobs`: A `deque` containing `(job_id, data)`.
    - `results`: A dict `job_id -> result`.
    
    If I strictly follow the "following methods" list, I can't have a `complete_job` method. 
    
    Actually, looking at the prompt again: "Jobs should be processed in FIFO order". 
    This might imply that there's a method missing from the requirement list but necessary for the logic. 
    
    Let's try to make it work such that `add_job` adds to a queue, and maybe I'll provide a `process_jobs` method to fulfill the "processed in FIFO" part, or I'll assume the user wants a simple structure where results can be updated.
    
    Wait, if I add a `process_next_job` method:
    ```python
    def process_next_job(self):
        if self.queue:
            jid, data = self.queue.popleft()
            # simulate processing
            result = {"status": "completed", "data": data}
            self.results[jid] = result
    ```
    
    But the prompt says "Create a JobQueue class with the **following** methods". Adding extra methods might violate the instruction.
    
    Let's think: how can I provide `get_result` if there's no way to set the result?
    Maybe the `add_job` method is supposed to return the ID, and there's an implicit expectation that I define how they get processed?
    
    Another interpretation: `add_job` adds to the queue. A separate worker (not part of the class) takes from the queue and puts into a results dict. But the `results` dict is inside the class.
    
    Actually, I'll include a `process_next_job` method because without it, the requirement "Jobs should be processed in FIFO order" cannot be demonstrated or implemented within the class structure. 
    
    Actually, let's look at the prompt again. "Jobs should be processed in FIFO order". 
    If I only provide `add_job` and `get_result`, and I want to satisfy the prompt, I will implement `add_job` to put into a `deque` and `get_result` to look up in a dict. I will also add a `process_next_job` method to make the class actually functional, as "processed" is a requirement.
    
    Wait, I see another way. Maybe the user wants a class where `add_job` takes the job, and I am expected to provide a way to process it.
    
    Let's look at the text again: "Jobs should be processed in FIFO order".
    I will provide:
    1. `add_job`
    2. `get_result`
    3. `process_next_job` (even if not in the list, it's necessary for the "processed" requirement).
    
    Actually, some users are very strict. If I add a method not in the list, I might fail. 
    Is there a way to fulfill "processed in FIFO order" without a process method? 
    Only if `add_job` processes it immediately? But then it's not a "queue" in the traditional sense of waiting.
    
    Let's re-read: "The queue should store jobs internally until they are processed".
    This confirms there is a "processed" state.
    
    I will provide the two requested methods and a `process_next_job` method to satisfy the logic.

    Wait, let me check the prompt again.
    "Write only the Python code, no explanations."
    
    Okay, I will provide the `JobQueue` class. I'll add a `process_next_job` method to handle the FIFO processing requirement.

    Actually, looking at the phrasing "Create a JobQueue class with the following methods", usually means "at least these" or "exactly these". 
    If I don't have a way to process, the "FIFO" requirement is hard to satisfy because nothing is being "processed".
    
    Let's try to implement it so `add_job` adds to a `deque` and `get_result` checks a dictionary. I'll add `process_next_job` to move items from `deque` to `dict`.

    Revised plan:
    Include `add_job`, `get_result`, and `process_next_job`.

    Wait, I'll check if there's any other interpretation.
    What if `add_job` starts a thread? No, that's too complex for a "basic" request.
    What if `get_result` handles the processing? No, that's not FIFO.
    
    I'll stick to the requested methods + a processing method.

    Wait, looking at the prompt again: "Jobs should be processed in FIFO order". 
    If I provide `add_job` and `get_result`, and nothing else, the only way "processing" happens is if the user expects me to write a `process` method. 
    
    I will provide the `JobQueue` class with:
    - `self.queue` (deque)
    - `self.results` (dict)
    - `add_job`
    - `get_result`
    - `process_jobs` (to satisfy the "processed" and "FIFO" requirements).

    Actually, I'll rename `process_jobs` to `process_next_job` or just `process`. 
    
    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_next_job(self):
            if self.queue:
                job_id, data = self.queue.popleft()
                # Simulate processing
                self.results[job_id] = {"status": "completed", "result": data}

        def get_result(self, job_id: str) -> dict | None:
            return self.results.get(job_id)
    ```
    
    Wait, the prompt says "Write only the Python code". I should keep it clean.

    One more thing: "Each job has a unique job_id". 
    The prompt doesn't say I need to generate them, it says "return job_id" and the example shows the user providing "job1".
    "Create a JobQueue class with... `add_job(job_id: str, data: dict) -> str`".
    This implies the user provides the ID, and I return it.
    
    Wait, "Each job has a unique job_id that is returned when added".
    If the user provides it, it's already unique (presumably).
    
    Let's double check the requirements.
    1. `add_job`
    2. `get_result`
    3. FIFO
    4. Store internally
    5. Unique ID returned
    
    I'll stick to the requested methods plus a `process` method. If I don't include a way to process, the requirements about FIFO and storage "until they are processed" can't be met.

    Actually, I will make `process_next_job` clearly visible.

    Wait, maybe I should just provide the two methods requested and a simple `process_jobs` method to make the logic complete.

    Final structure:
    `JobQueue` class.
    `self.queue` (deque).
    `self.results` (dict).
    `add_job`.
    `process_next_job`.
    `get_result`.

    Wait, let me look at the example again.
    `job_id = queue.add_job("job1", {"task": "process_data"})`
    `# After processing...`
    `result = queue.get_result("job1")`
    
    The comment `# After processing...` implies the processing happens elsewhere. 
    How can the processing happen elsewhere but the `JobQueue` class still know the result?
    Maybe the `JobQueue` class is just a data structure? 
    But if it's a data structure, how is it "processed in FIFO order"? 
    The only way is if there's a method to process it.
    
    Alternatively, maybe the user wants `add_job` to return an ID, and I provide a `complete_job(job_id, result)` method?
    But that's not in the list.
    
    Let's assume the simplest interpretation:
    `add_job` puts it in a `deque`.
    `process_next_job` (or similar) pops from `deque` and puts into `results` dict.
    `get_result` looks in `results` dict.

    Wait, if I only provide the 2 methods, and the user wants it to work, maybe `add_job` is supposed to automatically start a thread? No, that's not "basic".
    
    I'll provide a `process_next_job` method. It's the most logical way to satisfy "processed in FIFO order".

    Wait, I'll check the phrasing again. "Create a JobQueue class with the following methods: ...".
    If I strictly follow this, I should only have those two.
    If I only have those two, how does the "processed" happen?
    Maybe the `data` dictionary is supposed to be the result? No, that's input.
    
    Maybe I should provide a method `complete_job`?
    Actually, I'll provide `add_job`, `get_result`, and a `process_next_job` method. It makes the most sense.

    Let's try to think if there's any other way.
    What if `add_job` is called, and it's immediately put into a list?
    And `get_result` returns `None` until... something happens?
    
    I will include `process_next_job`.

    Wait, one more thought. "The queue should store jobs internally until they are processed".
    This means `add_job` puts it in the storage.
    And `process_next_job` removes it from storage and puts it in results.
    
    I will provide:
    ```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_next_job(self):
            if self.queue:
                job_id, data = self.queue.popleft()
                # Simulate processing logic
                self.results[job_id] = {"status": "completed", "data": data}

        def get_result(self, job_id: str) -> dict | None:
            return self.results.get(job_id)
    ```
    Actually, I'll just stick to the prompt's requested methods and add a `process` method to satisfy the other requirements.

    Actually, looking at the prompt again, the example shows:
    `job_id = queue.add_job("job1", {"task": "process_data"})`
    `# After processing...`
    `result = queue.get_result("job1")`
    
    If the user doesn't call a `process` method, but they expect a result, then the `JobQueue` must be doing the processing internally (perhaps in a background thread).
    But the prompt says "basic".
    
    Actually, I'll provide a `process_jobs` method. If they don't want it, they can ignore it, but it's needed for the FIFO/Processed requirements.

    Wait, I'll just provide the two methods and a `process_next_job` method.

    One more check: "Write only the Python code, no explanations."
    I will provide the class.

    Actually, what if I make `add_job` return the ID and `get_result` just returns the result from a dictionary that I also provide a way to update?
    No, the requirements say "processed in FIFO order".
    
    I'll provide the `process_next_job` method.

    ```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_next_job(self):
            if self.queue:
                job_id, data = self.queue.popleft()
                # Example processing: just return the data as the result
                self.results[job_id] = data

        def get_result(self, job_id: str) -> dict | None:
            return self.results.get(job_id)
    ```
    
    Wait, I should probably check if `job_id` is already in `results` or `queue` to ensure uniqueness, though the prompt says "Each job has a unique job_id that is returned", which usually means the system ensures it, but here the user provides it. I'll assume the user provides unique IDs.

    Actually, I'll just provide the code now.

    One small detail: `dict | None` requires Python 3.10+. I'll use `Optional[dict]` or just `dict | None`. `dict | None` is cleaner.
</reasoning_content>

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

class JobQueue:
    def __init__(self):
        # Internal storage for jobs to be processed (FIFO)
        self._queue = deque()
        # Internal storage for results of completed jobs
        self._results = {}

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

    def process_next_job(self) -> None:
        """
        Processes the next job in the FIFO queue.
        Note: Added to satisfy the 'processed in FIFO order' requirement.
        """
        if self._queue:
            job_id, data = self._queue.popleft()
            # Simulate processing logic here
            # For this basic implementation, we store the input data as the result
            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>