<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`: Adds job, returns job_id
3. Method `get_result(job_id: str) -> dict | None`: Returns result of completed job
4. FIFO order
5. Internal storage until processed
6. Unique job_id returned when added (though the example shows passing a job_id, the requirement says "Each job has a unique job_id that is returned when added". I'll stick to the example where job_id is passed, but maybe generate one if not provided? Wait, the example shows `queue.add_job("job1", {"task": "process_data"})`, so job_id is passed. I'll follow the signature in the example.)

Actually, looking at the example: `job_id = queue.add_job("job1", {"task": "process_data"})`
It returns the job_id. I'll just use the provided job_id or generate one if needed, but the signature says `job_id: str`, so it's passed in.

I need to implement the internal storage and processing logic. Since it's a basic queue, I'll use `collections.deque` for FIFO.
I'll also need a way to simulate processing or provide a method to process jobs, but the requirement doesn't specify a `process()` method. It just says "Jobs should be processed in FIFO order". I'll add a `process()` method or assume the user will call it, or maybe I should make it auto-process? The requirement says "The queue should store jobs internally until they are processed". I'll add a `process()` method that processes the next job in line. Or maybe the user expects a way to process jobs. I'll add a simple `process()` method that takes a function or just simulates processing by setting a result. Wait, the requirement doesn't specify how processing happens. I'll just store jobs and provide a `process()` method that moves the next job to completed, or maybe the user is expected to implement processing elsewhere. To keep it simple, I'll add a `process()` method that simulates processing by marking the job as done with a dummy result, or I'll just store them and let `get_result` return None until processed. Actually, I'll add a `process()` method that processes the first job in the queue and stores a result like `{"status": "completed", "data": job_data}`.

Wait, the requirement says:
- `add_job(job_id: str, data: dict) -> str`
- `get_result(job_id: str) -> dict | None`

It doesn't specify a process method, but to make it functional, I should probably include one or assume the user will handle processing. I'll add a `process()` method that processes the next job in FIFO order and stores the result. Or maybe the queue is meant to be used with a worker, but for a basic implementation, I'll just add a `process()` method.

Let's stick strictly to the requirements. I'll implement the class with internal storage using a dict for results and a deque for queue order.
I'll add a `process()` method to actually move jobs from pending to completed, or I can just leave it as a storage queue and assume processing happens externally. But the example says "After processing...", so maybe I should just implement a simple `process()` method that takes the next job and sets a result.

Actually, a simpler approach: I'll just store pending jobs in a deque and completed jobs in a dict. I'll add a `process()` method that processes the first job in the deque and stores a result. Or maybe the user expects the queue to just store jobs, and `get_result` returns None if not done. I'll add a `process()` method that simulates processing.

Wait, the requirement says "Jobs should be processed in FIFO order". I'll implement a `process()` method that processes the next job in line.

Let's draft:
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.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)
        
    def process(self):
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
```

But the requirement doesn't ask for a `process()` method. It just says "Jobs should be processed in FIFO order". Maybe I should just implement the queue and assume the user will call a process method, or maybe I should make `get_result` trigger processing? No, that's weird.
I'll just add a `process()` method to make it functional, or I'll leave it out if not strictly required. The prompt says "Implement a basic job queue in Python." and lists requirements. I'll stick to the listed methods and add `process()` for completeness, or maybe the queue is just a storage and the user processes it externally. I'll add `process()` as it's standard.

Actually, I can just implement exactly what's asked. The example shows:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```
I'll add a `process()` method that processes the next job. Or maybe I'll just store jobs and provide a way to process them. I'll keep it simple.

Wait, maybe the user expects the queue to automatically process jobs? No, "store jobs internally until they are processed".
I'll implement exactly the two methods plus `__init__`. I'll add a `process()` method but it's not strictly required. I'll just implement the two methods and internal storage. To satisfy "processed in FIFO order", I'll add a `process()` method that takes the next job and marks it complete.

Actually, I'll just implement the class with `add_job`, `get_result`, and `process`. I'll make sure type hints match.

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

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

    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)

    def process(self):
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
```

But the requirement says `get_result(job_id: str) -> dict | None`. I'll use that exact signature.
I'll remove type hints from internal stuff to keep it clean, or keep them.
The prompt says "Write only the Python code, no explanations."

I'll stick to the exact signatures requested.
One thing: `dict | None` is Python 3.10+ syntax. I'll use it as requested.
I'll also add a `process` method since it's necessary to actually process jobs, or I can just leave it out if not requested. The prompt says "Jobs should be processed in FIFO order", which implies there should be a way to process them. I'll add `process()`.

Actually, maybe the user just wants the queue structure. I'll provide exactly what's asked plus a `process` method for functionality. Or I can make `get_result` trigger processing? No.
I'll just implement the class with `add_job`, `get_result`, and `process`.

Wait, the example shows:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```
This implies the user will handle processing externally or there's a method. I'll add a `process()` method.

Let's keep it minimal and strictly follow requirements. I'll implement the class with the two methods, and add `process()` for completeness. I'll use `collections.deque` for FIFO.

One detail: `get_result` should return `dict | None`. In Python 3.9+, `dict | None` is valid. I'll use `Optional[dict]` for compatibility, or just `dict | None` as requested.

I'll write:
```python
import collections
from typing import Optional

class JobQueue:
    def __init__(self):
        self._queue = collections.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)

    def process(self):
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
```

Wait, `dict | None` syntax might cause a syntax error in older Python versions, but the prompt uses it, so I'll keep it. I'll assume Python 3.10+.

Actually, I can just use `Optional[dict]` to be safe, but the prompt explicitly says `dict | None`. I'll stick to `dict | None`.

Is there any chance the user wants the queue to process jobs automatically in a thread? "basic job queue" usually implies just the queue structure. I'll stick to the simple version.

I'll remove the `process` method if it's not strictly required, but it's better to include it so the example makes sense. The example says "# After processing...", so I'll add a `process` method.

Actually, I can just implement exactly what's asked. The prompt says "Write only the Python code, no explanations."
I'll provide the class with `__init__`, `add_job`, `get_result`, and `process`.

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

All met.

One minor thing: `get_result` returns `dict | None`. I'll use that exact return type hint.
I'll also make sure the code is clean.

```python
import collections
from typing import Optional

class JobQueue:
    def __init__(self):
        self._queue = collections.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)

    def process(self):
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
```

Wait, `dict | None` is not valid in Python 3.9 and below without `from __future__ import annotations`. I'll just use `Optional[dict]` to be safe, or keep `dict | None` as requested. The prompt uses it, so I'll keep it. Actually, I'll just use `dict | None` directly.

I think it's fine. I'll output just the code.
One thing: The prompt says "Each job has a unique job_id that is returned when added". The example passes "job1" as job_id. So I'll just return the passed job_id. If they wanted auto-generation, they would have said `add_job(data: dict) -> str`. The signature says `add_job(job_id: str, data: dict) -> str`, so it's passed.

I'll stick to the implementation.
Final code:
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.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)

    def process(self):
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
```
This meets all requirements. I'll output it.
Wait, should I include type hints for `process`? Not required.
I'll remove the `from typing import Optional` since I'm using `dict | None`.
Actually, `dict | None` might raise a TypeError in some environments if not using `from __future__ import annotations` in older Python, but it's standard in 3.10+. I'll keep it as is.

One thing: The prompt says "Write only the Python code, no explanations."
I'll output exactly that.
Done. 
Let's verify once more.
- `JobQueue` class: yes
- `add_job(job_id: str, data: dict) -> str`: yes
- `get_result(job_id: str) -> dict | None`: yes
- FIFO: yes, using deque
- Store internally until processed: yes
- Unique job_id returned: yes
- Example usage works with `process()` added: yes

All good.
Output matches request.✅
I will generate the response now. 
One minor adjustment: I'll add `from typing import Optional` just in case, but the prompt uses `dict | None`, so I'll stick to that. Actually, I'll just use `dict | None` as requested. It's fine.
Code is ready. 
Proceeds. 
Output matches the final code block. 
(Self-Correction/Refinement during thought)
Wait, should `get_result` return `dict | None` or `Optional[dict]`? The prompt explicitly says `dict | None`. I'll use exactly that.
Also, I should make sure the `process` method is included because otherwise the queue is useless. The prompt doesn't explicitly ask for it, but it's implied by "Jobs should be processed in FIFO order". I'll include it.
Everything looks solid.
Output generation. 
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.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)

    def process(self):
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
```
This is correct. I'll output it. 
Note: I'll remove the `import collections` if not strictly needed, but it's standard. I'll keep it.
All good. 
Proceeds. 
[Output Generation] -> *outputs the code block*
(Self-Correction/Verification during generation prep)
The prompt says "Write only the Python code, no explanations."
I will strictly follow that.
The code matches all requirements.
Done. 
[Output] -> *provided below*

</reasoning_content>

<content>
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.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)

    def process(self):
        if self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
```
</content>