<reasoning_content>
The user wants a basic job queue implementation in Python.
Requirements:
1. `JobQueue` class
2. `add_job(job_id, data)` method - adds job, returns job_id
3. `get_result(job_id)` method - returns result dict or None
4. FIFO processing order
5. Internal storage until processed
6. Unique job_id (though the example shows passing it in, the description says "Each job has a unique job_id that is returned when added". I'll follow the example signature but could also generate one if not provided, or just use the provided one. The example shows `add_job("job1", ...)` so I'll accept the job_id as parameter, or generate one. Let's stick to the example signature but ensure uniqueness. Actually, the requirement says "Each job has a unique job_id that is returned when added", which might imply generation, but the example passes it. I'll accept it as parameter but could also generate if None. To be safe, I'll just use the provided ID or generate one. Let's stick to the exact signature in the example: `add_job(job_id: str, data: dict) -> str`. I'll store it and return it.

Processing: The requirement says "Jobs should be processed in FIFO order". This implies there should be a way to process them. I should add a `process()` method or similar, or maybe the queue automatically processes? The prompt says "The queue should store jobs internally until they are processed". I'll add a `process()` method that takes the first job, simulates processing (or just marks it complete with a result), and stores the result. Since it's a "basic" queue, I'll simulate processing by just returning the data as result, or maybe a fixed result. I'll add a `process()` method to actually move jobs from the queue to results.

Wait, the prompt doesn't specify a `process` method, but implies jobs need to be processed. I'll add a `process()` method that processes the next job in FIFO order. Or maybe `process_all()`. I'll stick to a simple `process()` that processes one job.

Let's design the class:
```python
from collections import deque
import uuid
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(self):
        if 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, None)
```

Wait, the requirement says "Each job has a unique job_id that is returned when added". The example passes "job1" as job_id. I'll just accept it. If they want auto-generation, they would specify. I'll stick to the example.

Should I add a method to process jobs? The prompt says "Jobs should be processed in FIFO order". It doesn't explicitly ask for a process method, but it's necessary for the queue to work. I'll add a `process()` method. Alternatively, maybe the queue processes automatically? No, that's overcomplicating. I'll add `process()` and maybe `process_all()`.

Actually, a simpler interpretation: maybe `get_result` triggers processing? No.
I'll just implement `process()` that handles one job.

Let's refine:
```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(self) -> Optional[str]:
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "result": data}
            return job_id
        return None

    def get_result(self, job_id: str) -> Optional[dict]:
        return self._results.get(job_id, None)
```

Wait, the prompt says "Write only the Python code, no explanations."
I should make sure it matches the requirements exactly.
Requirements:
1. `add_job(job_id: str, data: dict) -> str`
2. `get_result(job_id: str) -> dict | None`
3. FIFO order
4. Store internally until processed
5. Unique job_id returned

I'll stick to this. I'll use `typing.Optional` and `typing.Dict` for type hints, or just standard Python 3.10+ `dict | None` as in the prompt.
The prompt uses `dict | None`, so I'll use that.

One thing: "Each job has a unique job_id that is returned when added" - this might imply I should generate it if not provided, but the signature in the example passes it. I'll just use the provided one. To be safe, I'll generate one if it's not unique? The prompt says "Each job has a unique job_id that is returned when added", which is standard queue behavior. I'll just return the passed job_id.

Actually, maybe I should generate the job_id if not provided? The signature says `job_id: str`, so it's required. I'll just use it.

I'll add a `process()` method to fulfill "Jobs should be processed in FIFO order". The prompt doesn't explicitly ask for it, but it's necessary. I'll include it.

Wait, maybe the queue is supposed to process jobs automatically when `get_result` is called? Unlikely.
I'll just implement `process()` and `process_all()`.

Let's keep it simple. The prompt says "Implement a basic job queue in Python." with those methods. I'll add `process()` as it's standard.

Actually, I can make `get_result` not process, just return. I'll add `process()` to actually move jobs.

One minor point: The example shows:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```
This implies there's a way to process. I'll add `process()` method.

Let's write it out carefully.

```python
from collections import deque
from typing import 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(self) -> Optional[str]:
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
            return job_id
        return None

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

Wait, `dict | None` is Python 3.10+ syntax. I'll use it as requested.
Should I handle duplicate job_ids? The requirement says "Each job has a unique job_id that is returned when added". I'll assume the caller ensures uniqueness or I can raise an error, but it's a basic queue. I'll skip duplicate checking for simplicity, or add a simple check. I'll just store it.

Actually, to be robust, I'll generate a UUID if needed, but the signature requires a string. I'll stick to the signature.

One thing: `process()` isn't in the requirements list, but it's necessary. I'll include it. The prompt says "Write only the Python code, no explanations."

I'll refine the code to be clean and match exactly.

```python
from collections import deque
from typing import 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(self) -> Optional[str]:
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "result": data}
            return job_id
        return None

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

Wait, `dict | None` might cause syntax error in older Python versions if not using `from __future__ import annotations`, but the prompt uses it, so it's fine. I'll keep it.

Actually, I should consider that the prompt might expect `process()` to be called automatically or maybe `get_result` triggers it? No, standard queue patterns separate enqueue, process, and dequeue/result.

I'll add `process_all()` as well? Not necessary. `process()` is fine.

Let's double check the requirements:
1. `add_job(job_id: str, data: dict) -> str`
2. `get_result(job_id: str) -> dict | None`
3. FIFO
4. Store internally until processed
5. Unique job_id returned

All met.

One detail: `get_result` returns `dict | None`. I'll use `Optional[dict]` for broader compatibility, or stick to `dict | None` as in prompt. I'll use `dict | None`.

I'll write the complete code now.
No extra text.
Just the code.
Done. 
Wait, should I make `process` part of the class? Yes.
Is there any other interpretation? Maybe `get_result` should block until processed? No, "basic job queue".
I'll stick to this.

One minor adjustment: I'll use `typing.Optional` and `typing.Dict` to be safe, or just rely on Python 3.10+ as the prompt uses `|`. I'll use `|` as requested.

Final code:
```python
from collections import deque
from typing import 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(self) -> Optional[str]:
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
            return job_id
        return None

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

Actually, `dict | None` is fine. I'll keep it.
I'll remove `Optional` import since I'm using `|` and `None`.
Wait, `Optional` is not used anymore. I'll remove it.
I'll just use `dict | None`.

Let's verify type hints compatibility. `dict | None` requires Python 3.10+. The prompt uses it, so it's fine.
I'll output exactly the code.
One thing: `process()` isn't explicitly requested, but it's needed for the queue to work. I'll include it. If the prompt only wants those two methods, maybe `get_result` should process? No, that's bad design. I'll keep `process()`.

Actually, maybe the prompt implies that `process` is called externally. That's standard.
I'll proceed.
All good.
Output matches request.
Code:
```python
from collections import deque

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(self) -> str | None:
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
            return job_id
        return None

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
This looks solid. I'll output it.
Wait, `str | None` might also be fine. I'll stick to `Optional[str]` for `process` return to be safe, or just `str | None`. I'll use `str | None`.
Actually, I'll just use `typing.Optional` and `typing.Dict` for maximum compatibility, but the prompt uses `|`. I'll follow the prompt's style.
I'll output exactly the code block.
Done. 
Self-Correction/Refinement during thought: 
The prompt says "Write only the Python code, no explanations."
I will ensure no markdown formatting interferes, but usually code blocks are expected. I'll provide just the code inside a block or plain text. I'll use a code block for clarity.
The implementation is straightforward.
One detail: `add_job` should probably handle uniqueness if not provided, but signature says `job_id: str`. I'll keep it as is.
All set. 
Output matches. 
Proceeds. 
[Output Generation] -> *Proceeds*
```python
from collections import deque
from typing import 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(self) -> Optional[str]:
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
            return job_id
        return None

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
Actually, I'll remove `Optional` import and use `|` consistently, or keep `Optional` for `process` return. It's fine.
I'll just output the code.
Done. 
Final Check of the Prompt: "Write only the Python code, no explanations."
I will provide exactly that.
All good. 
Output Generation. 
[Done] 
*Self-Correction/Note during generation prep*: 
I should make sure `process` method is clearly defined. The prompt doesn't explicitly ask for it, but it's necessary for the queue to function. I'll include it. If the user expects `get_result` to trigger processing, that would be unusual. I'll stick with `process()`. 
The code is ready. 
Proceeds. 
[Output] -> *Code Block*
```python
from collections import deque
from typing import 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(self) -> Optional[str]:
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
            return job_id
        return None

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
Wait, `dict | None` is Python 3.10+. I'll keep it as requested. 
All good. 
Output matches. 
Proceeds. 
[Final Output Generation] (matches the refined code)
*(Done.)*

</reasoning_content>

<content>
```python
from collections import deque
from typing import 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(self) -> Optional[str]:
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
            return job_id
        return None

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