<reasoning_content>
The user wants a basic job queue implementation in Python.
Requirements:
1. `JobQueue` class
2. `add_job(job_id: str, data: dict) -> str` method
3. `get_result(job_id: str) -> dict | None` method
4. FIFO order
5. Store jobs internally until processed
6. Unique job_id returned when added
7. Example usage provided

I need to implement a simple queue that:
- Maintains a FIFO queue of jobs
- Stores job data and results
- Has a way to process jobs (though the prompt doesn't specify how processing happens, I should probably add a `process` or `run` method, or assume the user will call it manually. The example shows "After processing..." so I should probably provide a method to simulate or actually process jobs, or at least structure it so results can be set. Actually, the prompt says "Jobs should be processed in FIFO order" and "The queue should store jobs internally until they are processed". I'll add a `process_next()` or `run()` method to actually process jobs, or maybe just a `process()` method that processes all pending jobs. Alternatively, I can make it so that `get_result` checks if it's done, but the prompt implies an external processing step or a method to process. I'll add a `process()` method that processes the next job in the queue and stores its result. To keep it simple, I'll simulate processing by just marking it as done with a result, or I'll let the user provide a processing function? The prompt says "basic job queue", so I'll just process jobs by storing a simple result like `{"status": "completed", "data": data}` or similar. Actually, I'll just add a `process()` method that takes the next job and stores a result. Or maybe I should just implement the queue structure and a `process_all()` or `process_next()` method.

Let's stick to the simplest interpretation:
- `__init__`: initialize queue (collections.deque), results dict, jobs dict
- `add_job`: append to deque, store data in dict, return job_id
- `get_result`: return result from dict if exists, else None
- I should probably add a `process()` method to actually process jobs, since the prompt says "Jobs should be processed in FIFO order". I'll add a `process()` method that processes the next job in the queue and stores a result. To make it realistic but simple, I'll just simulate processing by storing `{"status": "completed", "data": job_data}` as the result. Or maybe just return the job data as the result.

Wait, the prompt says:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```
It doesn't specify how processing happens. I'll add a `process()` method that processes the next job in the queue. I'll make it simple: it pops the job from the queue, computes a result (e.g., `{"status": "completed", "data": data}`), stores it, and returns it or just stores it. Actually, I'll just implement a `process()` method that processes one job, and maybe `process_all()` for convenience. Or I can just make `get_result` block? No, basic queue.

I'll implement:
```python
import collections

class JobQueue:
    def __init__(self):
        self.queue = collections.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 get_result(self, job_id: str) -> dict | None:
        return self.results.get(job_id, None)
        
    def process(self):
        if self.queue:
            job_id = self.queue.popleft()
            data = self.jobs.pop(job_id)
            # Simulate processing
            self.results[job_id] = {"status": "completed", "data": data}
            return self.results[job_id]
        return None
```

Wait, the prompt says "Write only the Python code, no explanations."
I should make sure type hints match the prompt.
`get_result(job_id: str) -> dict | None` is valid in Python 3.10+. I'll use `Optional[Dict[str, Any]]` for broader compatibility, or just stick to `dict | None` as requested. The prompt uses `dict | None`, so I'll use that.

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

class JobQueue:
    def __init__(self):
        self._queue: deque = 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 get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
        
    def process(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._jobs.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```

Wait, should `process` be required? The prompt doesn't explicitly ask for a `process` method, but says "Jobs should be processed in FIFO order" and "The queue should store jobs internally until they are processed". It's implied I should provide a way to process them. I'll add a `process()` method. Alternatively, I could just make `get_result` check a flag, but that's overcomplicating. I'll stick with `process()`.

Actually, maybe the prompt expects just the queue and result storage, and the user will handle processing externally? "The queue should store jobs internally until they are processed" might just mean I need to keep track of them. I'll add a `process()` method to fulfill the "processed" requirement.

Let's consider if I should use `queue.Queue` from standard library? The prompt says "Implement a basic job queue", so implementing it from scratch with `deque` is fine.

I'll keep it simple and self-contained.

One thing: `dict | None` syntax requires Python 3.10+. I'll use it as requested.

Let's write out the code carefully.

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

    def process(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._jobs.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```

Wait, the prompt says `get_result(job_id: str) -> dict | None`. I'll keep that exact signature.
I should also consider if `process` should be named something else, but it's fine.
The example shows:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```
It doesn't call `process()`, but comments say "After processing...". I'll add a `process()` method so it's usable. Alternatively, I could make `get_result` check if processed, but that doesn't make sense without a processing step. I'll stick with `process()`.

Actually, maybe I don't need to implement the actual processing logic, just the queue structure. But to be safe, I'll include a `process()` method that simulates processing. Or I could just store the job and let the user call a `run()` or `process()` method. I'll add `process()` as it's standard.

Wait, maybe the prompt expects just the queue and result storage, and assumes processing happens externally. I'll just implement exactly what's asked, plus a `process()` method to fulfill the FIFO processing requirement.

Let's double check the requirements:
1. `JobQueue` class with `add_job` and `get_result`
2. FIFO order
3. Store jobs internally until processed
4. Unique job_id returned

I'll implement it cleanly.

One minor thing: `dict | None` is valid in Python 3.10+. I'll use it.
I'll also add type hints for `process` for completeness.

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

    def process(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._jobs.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```

Is there any issue with `dict | None`? It's fine for modern Python. I'll keep it.
The prompt says "Write only the Python code, no explanations."
I'll output exactly that.

Wait, should I handle duplicate job IDs? The prompt says "Each job has a unique job_id that is returned when added". It doesn't specify error handling for duplicates, so I'll assume IDs are unique or just overwrite/ignore. I'll just store it.

I think this is solid. I'll produce the code.
One thing: I'll remove the `from typing import Dict, Optional` since I'm using `dict | None` and not using `Optional`/`Dict` in the final code. Actually, I'll keep imports minimal.

Final code:
```python
from collections import deque

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

    def process(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._jobs.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```

This meets all requirements. I'll output it.
Wait, should `process` be named `run` or `execute`? `process` is fine.
The prompt doesn't explicitly ask for `process`, but it's necessary to fulfill "Jobs should be processed in FIFO order". I'll include it.
Alternatively, I could make `get_result` check a `processed` flag, but that's not how queues work. I'll stick with `process()`.

One more check: The example shows `# After processing...`. It's just a comment. My implementation is correct.
I will output only the code as requested.
All good. 
Proceeding. 
Output matches the code block.✅
Note: I'll make sure the type hint `dict | None` is used exactly as requested. Python 3.10+ supports it. If they want backward compatibility, they might prefer `Optional[dict]`, but I'll stick to the prompt's syntax.
Done. 
Output generation. 
[self-correction/verification during thought]
- FIFO: `deque` with `append` and `popleft` ensures FIFO.
- Store internally: `_jobs` and `_queue` store them.
- Unique ID: returned by `add_job`.
- `get_result`: returns `dict | None`.
- Code is clean and concise.
- No extra text.
Ready. 
Output matches response. 
Proceeds. 
[Output Generation] -> *Proceeds*
```python
from collections import deque

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

    def process(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._jobs.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```
All good.✅
Output matches. 
Done. 
[Final Check]
The prompt asks for "Write only the Python code, no explanations."
I will provide exactly that.
The code includes necessary imports and class definition.
Matches requirements.
Ready. 
[Output Generation] (proceeds)
*(Self-Correction/Refinement during thought)*: 
Should I include `process_all`? Not required. `process` is enough.
Should I handle the case where `job_id` already exists? Not specified, I'll ignore.
The type hint `dict | None` is fine.
I'll output the code block exactly.
Done. 
[Output] -> *Proceeds*

</reasoning_content>

<content>
```python
from collections import deque

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

    def process(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._jobs.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```
</content>