<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`
3. `get_result(job_id: str) -> dict | None`
4. FIFO processing order
5. Internal storage until processed
6. Unique job_id returned
7. Example usage provided

I need to implement a queue that stores jobs and their results. Since the example shows adding a job and then getting a result "after processing", I should probably include a mechanism to process jobs, or at least structure the code so that processing can be simulated or handled externally. However, the requirements don't explicitly ask for a worker/processor method, just the queue structure. But to make it functional as a "job queue", I should probably add a `process_next_job()` method or similar, or at least show how results are stored.

Looking at the requirements again:
- `add_job` adds a job and returns job_id
- `get_result` gets the result of a completed job
- FIFO order
- Stores jobs internally until processed

I'll implement a simple queue using `collections.deque` for FIFO order. I'll also maintain a dictionary to map job_id to job data and results. I'll add a `process_job(job_id)` method to simulate processing, though the prompt doesn't explicitly require it. Actually, the prompt says "Jobs should be processed in FIFO order", so I should probably include a way to process them. I'll add a `process_next_job()` method that processes the next job in the queue and stores the result.

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 that processing happens externally or via some method. I'll add a `process_job(job_id)` or `process_all()` method for completeness, but keep it simple. Actually, I'll just implement the queue structure and a simple processing mechanism that stores results in a dict.

Let's design the `JobQueue` class:
- `__init__`: initialize deque for queue, dict for job data, dict for results
- `add_job(job_id, data)`: append to deque, store data, return job_id
- `get_result(job_id)`: return result from results dict if exists, else None
- `process_next_job()`: pop from deque, process (simulate by returning data as result or something), store result
- Maybe `process_all()` to process all

But the requirements don't specify a process method. I'll just implement the queue and add a simple `process_job(job_id)` method that marks it as processed and stores a result. Actually, to keep it minimal and match the prompt, I'll just implement the required methods and add a `process_next_job()` method that simulates processing.

Wait, the prompt says "Jobs should be processed in FIFO order". This implies the queue should handle processing. I'll add a `process_next_job()` method that takes the first job, "processes" it (maybe just returns the data as result for simplicity), and stores it.

Let's stick to the exact requirements:
```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_next_job(self):
        if not self._queue:
            return None
        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]
```

But the prompt doesn't ask for `process_next_job`. It just says "Jobs should be processed in FIFO order". Maybe I should just implement the queue and let the user handle processing, or provide a simple way to process. I'll add `process_all()` or just keep it minimal. Actually, many job queue implementations just store tasks. I'll add a `process_job(job_id)` method for completeness, but it's not strictly required. I'll stick to the required methods and add a `process_next_job()` to satisfy "processed in FIFO order".

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 that processing happens somewhere. I'll just implement the queue structure. I'll add a `process_all()` method for convenience.

Actually, I'll keep it simple and just implement what's asked. The prompt says "Implement a basic job queue in Python." and lists requirements. I'll provide the class with the required methods, and maybe a `process_next_job` method to demonstrate FIFO processing.

Let's refine:
```python
import collections

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

This satisfies all requirements. FIFO is handled by deque. Internal storage is handled by dicts and deque. Unique job_id is returned. `get_result` returns dict or None.

I should make sure type hints match the prompt: `dict | None` is Python 3.10+. I'll use `Optional[dict]` or keep `dict | None` as requested. The prompt uses `dict | None`, so I'll keep it.

One thing: the prompt says "Write only the Python code, no explanations." So I'll just output the code.

I'll add `from typing import Optional` if needed, but `dict | None` is fine for modern Python. I'll stick to `dict | None`.

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

All met.

I'll write the code now.
One minor point: should `process_next_job` be part of the class? The prompt doesn't explicitly ask for it, but says "Jobs should be processed in FIFO order". I'll include it as it's standard for a queue. Alternatively, I could just implement the queue and let processing be external, but that doesn't demonstrate FIFO processing. I'll keep `process_next_job`.

Actually, to be strictly compliant, I'll just implement the required methods. The FIFO requirement is about how jobs are stored/retrieved. I'll add a `process_all()` or `process_next()` for completeness.

I think it's fine.

Code:
```python
import collections

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

This looks solid. I'll output exactly this. No extra text.
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.

I'll stick with this implementation.
One thing: `dict | None` syntax requires Python 3.10+. The prompt uses it, so it's fine.
I'll output the code block.
Done. 
Let's verify the example usage works with this implementation:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
queue.process_next_job()
result = queue.get_result("job1")
```
This works. The prompt's example just shows getting result after processing, so it's fine.

I'll provide the code now. 
All requirements met. No extra text.
Output matches request.✅
Proceeds. 
Self-Correction/Refinement during thought: 
The prompt says "Write only the Python code, no explanations." I will strictly follow that.
I'll make sure the type hints are correct. `dict | None` is fine.
I'll add `from typing import Optional` just in case, but the prompt uses `dict | None`, so I'll keep it.
Actually, I'll just use `dict | None` as requested.
Code is ready.✅
Output matches. 
Proceeds. 
[Output Generation] -> *Code block only*
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._job_data = {}
        self._results = {}
        
    def add_job(self, job_id: str, data: dict) -> str:
        self._queue.append(job_id)
        self._job_data[job_id] = data
        return job_id
        
    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
        
    def process_next_job(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._job_data.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```
This matches all constraints. I'll output it. 
Wait, should I include `process_all`? Not required. `process_next_job` is enough to demonstrate FIFO.
The prompt says "Jobs should be processed in FIFO order". My implementation does that.
All good. 
Output matches. 
Proceeds. 
[Final Check]
- `JobQueue` class: yes
- `add_job(job_id: str, data: dict) -> str`: yes
- `get_result(job_id: str) -> dict | None`: yes
- FIFO: yes (deque)
- Store internally: yes
- Unique job_id returned: yes
- Only Python code: yes
Ready. 
Output matches response. 
[Done] 
*Self-Correction/Note during generation*: I realize the prompt's example doesn't show calling a process method, but implies processing happens. I'll keep `process_next_job` as it's standard. If they wanted external processing, they wouldn't specify FIFO order for the queue itself. I'll stick with it. It's fine.
All good. 
Output matches. 
Proceeds. 
[Output Generation] -> *Code block*
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._job_data = {}
        self._results = {}
        
    def add_job(self, job_id: str, data: dict) -> str:
        self._queue.append(job_id)
        self._job_data[job_id] = data
        return job_id
        
    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
        
    def process_next_job(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._job_data.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```
Done. 
(Note: I'll remove the type hint `dict | None` if it causes issues in older Python, but the prompt explicitly uses it, so I'll keep it. It's standard in Python 3.10+.)
All good. 
Output matches. 
Proceeds. 
[Final Output Generation] -> *Code only*
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._job_data = {}
        self._results = {}
        
    def add_job(self, job_id: str, data: dict) -> str:
        self._queue.append(job_id)
        self._job_data[job_id] = data
        return job_id
        
    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
        
    def process_next_job(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._job_data.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```
Done. 
(Self-Correction/Verification during thought: The prompt says "Write only the Python code, no explanations." I will strictly output just the code block.)
All requirements met. FIFO is handled by deque. Internal storage handled. Unique ID returned. Methods match signature. Example usage works with added `process_next_job()`. 
Ready. 
Output matches response.

</reasoning_content>

<content>
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._job_data = {}
        self._results = {}
        
    def add_job(self, job_id: str, data: dict) -> str:
        self._queue.append(job_id)
        self._job_data[job_id] = data
        return job_id
        
    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
        
    def process_next_job(self) -> dict | None:
        if not self._queue:
            return None
        job_id = self._queue.popleft()
        data = self._job_data.pop(job_id)
        result = {"status": "completed", "data": data}
        self._results[job_id] = result
        return result
```
</content>