<reasoning_content>
The user wants a basic job queue implementation in Python.
Requirements:
1. Class `JobQueue`
2. Method `add_job(job_id: str, data: dict) -> str`
3. Method `get_result(job_id: str) -> dict | None`
4. FIFO processing order
5. Store jobs internally until processed
6. Unique job_id returned when added
7. Example usage shows that `add_job` takes `job_id` and `data`, but the requirement says "return job_id" and "Each job has a unique job_id that is returned when added". Wait, the example shows `job_id = queue.add_job("job1", ...)` which implies `job_id` is passed in, but the signature says `add_job(job_id: str, data: dict) -> str`. This is slightly contradictory. Usually, if it returns `job_id`, it might generate it, or just return the passed one. I'll stick to the signature: `add_job(job_id: str, data: dict) -> str`. It will probably just store it and return the `job_id`.
Wait, the example says: `job_id = queue.add_job("job1", {"task": "process_data"})`. This matches the signature.
But the requirement says "Each job has a unique job_id that is returned when added". This might mean the method should generate a unique ID if not provided, or just return the provided one. I'll just return the provided `job_id`.

Also, the queue needs to store jobs until processed. How are they processed? The prompt doesn't specify a worker thread or processing function. I should probably add a `process()` method or assume the user will call something to process jobs. Or maybe I should implement a simple processing mechanism? The prompt says "The queue should store jobs internally until they are processed". It doesn't specify how processing happens. I'll add a `process()` method that takes a function, or maybe just a simple `process_next()` method. Actually, to keep it basic and meet the requirements, I'll just implement the queue storage and result retrieval. I'll add a `process()` method that simulates processing or takes a callback. But the prompt doesn't ask for it. I'll just implement the storage and retrieval. To make it functional, I'll add a `process()` method that processes jobs in FIFO order and stores results. But how does it process? Maybe I'll just store the job data and assume the user will call a `process()` method, or I'll just leave it as a simple queue structure with result storage.

Wait, the prompt says: "Implement a basic job queue in Python." and gives requirements. It doesn't specify how jobs are processed. I'll implement a simple queue using `collections.deque` for FIFO, and a dictionary for results. I'll also add a `process()` method that processes the next job and stores a result (maybe just returns the data or processes it with a provided function). To keep it simple and compliant, I'll just store jobs in a list/deque and results in a dict. I'll add a `process()` method that takes a processing function, or just a placeholder. Actually, many simple job queue implementations just have `enqueue` and `dequeue`. Here it's `add_job` and `get_result`.

Let's stick strictly to the requirements:
- `add_job(job_id: str, data: dict) -> str`
- `get_result(job_id: str) -> dict | None`
- FIFO order
- Store internally until processed

I'll implement:
```python
import uuid
from collections import deque
from typing import Dict, Optional

class JobQueue:
    def __init__(self):
        self._queue = deque()
        self._results: Dict[str, dict] = {}
        
    def add_job(self, job_id: str, data: dict) -> str:
        self._queue.append((job_id, data))
        return job_id
        
    def get_result(self, job_id: str) -> Optional[dict]:
        return self._results.get(job_id, None)
        
    def process(self, job_id: str, result: dict):
        # This is just to simulate completion for the example
        self._results[job_id] = result
```
But the example usage shows:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```
It doesn't show how processing happens. I'll just implement the queue and result storage. I'll assume processing happens externally or I'll provide a method to mark jobs as complete. Actually, to make it a complete "job queue", I should probably include a way to process jobs. But the prompt doesn't ask for it. I'll just implement the required methods and maybe a `process_jobs()` method that takes a function, or just leave it as is. The prompt says "Write only the Python code, no explanations."

I'll stick to the exact requirements. I'll use `collections.deque` for FIFO. I'll store jobs as tuples `(job_id, data)`. I'll store results in a dict.

Wait, requirement 4: "Each job has a unique job_id that is returned when added". This might imply that if `job_id` is not provided, it should generate one, but the signature says `job_id: str`. I'll just use the provided one. Or maybe I should generate a UUID if empty? The signature requires `job_id: str`, so I'll just use it.

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

class JobQueue:
    def __init__(self):
        self._queue: deque[tuple[str, dict]] = deque()
        self._results: Dict[str, dict] = {}

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

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

Is that enough? The prompt says "The queue should store jobs internally until they are processed". It doesn't specify a processing method. I'll add a `process()` method that processes the next job in FIFO order and stores a result, but since processing logic isn't defined, I'll just make it a simple structure. Actually, many coding challenges like this expect just the queue and result storage. I'll add a `process()` method that takes a callable to simulate processing, or just leave it. To be safe, I'll implement a basic `process()` method that processes jobs sequentially if a function is provided, but it's not strictly required. I'll stick to the exact methods requested.

Wait, the example shows:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```
It implies that `get_result` returns the result after processing. I'll just implement the class with the two methods. I'll also add type hints as requested.

One thing: `dict | None` is Python 3.10+ syntax. I'll use `Optional[dict]` for broader compatibility, or stick to `dict | None` since the prompt uses it. I'll use `Optional[dict]` to be safe, or just `dict | None`.

Let's write it out.

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

class JobQueue:
    def __init__(self):
        self._queue: deque[tuple[str, dict]] = deque()
        self._results: dict[str, dict] = {}

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

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

But wait, how are jobs processed? The prompt doesn't specify. I'll add a `process()` method that processes jobs in FIFO order and stores results, but since no processing function is given, I'll just make it a placeholder or assume the user will call a method to mark jobs complete. Actually, a common pattern is to have a `process()` method that takes a function. But to keep it simple and match the prompt exactly, I'll just implement the two methods. The prompt says "The queue should store jobs internally until they are processed", which implies external processing.

I think this is sufficient. I'll output just the code.

Wait, should I generate unique IDs if not provided? The signature says `job_id: str`, so it's required. I'll stick to that.

One minor thing: `dict | None` is fine in Python 3.10+. I'll use `dict | None` to match the prompt.

Final code:
```python
from collections import deque
from typing import Optional

class JobQueue:
    def __init__(self):
        self._queue: deque[tuple[str, dict]] = deque()
        self._results: dict[str, dict] = {}

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

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

Actually, `typing.Optional` is better for compatibility, but the prompt uses `dict | None`. I'll stick to `dict | None`.

Is there anything else? The prompt says "Write only the Python code, no explanations."
I'll provide exactly that.

One consideration: maybe the queue should have a `process()` method that actually processes jobs? The prompt doesn't ask for it, but it says "until they are processed". I'll add a simple `process()` method that processes the next job using a provided function, or just leave it. I think it's safer to just implement what's asked. Many such prompts just want the queue structure.

I'll output the code now.
Wait, let's think about `add_job` returning `job_id`. The example shows `job_id = queue.add_job("job1", ...)`. So it returns the passed ID. That's fine.

I'll write it out.
One thing: `deque` is from `collections`. I'll import it.
Type hints: `from collections import deque`
`from typing import Optional` (or just use `dict | None`)

Code:
```python
from collections import deque
from typing import Optional

class JobQueue:
    def __init__(self):
        self._queue: deque[tuple[str, dict]] = deque()
        self._results: dict[str, dict] = {}

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

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

This meets all requirements. I'll output it.
Wait, should I include a `process()` method to make it more complete? The prompt says "Implement a basic job queue". It's fine without it. I'll stick to the exact methods requested.
Actually, to be safe, I'll add a `process()` method that processes jobs in FIFO order and stores results, but since processing logic isn't defined, I'll just make it a simple method that takes a processing function. But the prompt doesn't ask for it. I'll leave it out to strictly follow "Write only the Python code".

Final check of the prompt: "Requirements: 1. Create a JobQueue class with the following methods: add_job, get_result. 2. FIFO order. 3. Store internally until processed. 4. Unique job_id returned."
All covered.

I will output the code block.
One minor adjustment: `dict | None` might cause syntax error in Python < 3.10. I'll use `Optional[dict]` for broader compatibility, or just keep `dict | None` as requested. The prompt uses `dict | None`, so I'll use that.

Code:
```python
from collections import deque
from typing import Optional

class JobQueue:
    def __init__(self):
        self._queue: deque[tuple[str, dict]] = deque()
        self._results: dict[str, dict] = {}

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

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
Actually, `typing.Optional` is standard. I'll use `Optional[dict]` to be safe, but it doesn't matter much. I'll stick to `dict | None` as in the prompt.

Wait, `deque` type hint `deque[tuple[str, dict]]` requires `from __future__ import annotations` in Python < 3.9. I'll just use `List` or omit type hints for internal vars, or use `typing.List`. To avoid compatibility issues, I'll just use `self._queue = deque()` and `self._results = {}`.

Revised:
```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 get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
This is clean and compatible. I'll output this.
One thing: the prompt says `dict | None`. I'll keep it.
All good.
Output matches requirements.
Proceeds. 
Self-Correction/Refinement during thought: 
Should I generate a unique ID if not provided? The signature says `job_id: str`, so it's a required parameter. I'll keep it as is.
The example shows `job_id = queue.add_job("job1", ...)`, so it passes "job1".
Everything is consistent.
I will produce the code now. 
Output matches the refined version.✅
Note: I'll add `from typing import Optional` just in case, but `dict | None` is fine. I'll stick to `dict | None`.
Final 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 get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
This satisfies all constraints. I'll output it. 
Wait, should I include a method to simulate processing? The prompt doesn't ask for it, but "until they are processed" implies processing happens. I'll add a simple `process()` method that processes jobs in FIFO order and stores a result, but since no processing logic is given, I'll just leave it. The prompt says "Write only the Python code", so I'll just provide the class. It's fine.
Done. 
Output matches. 
Proceeds. 
[Output Generation] -> *Proceeds*

</reasoning_content>

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