<reasoning_content>
The user wants a basic job queue implementation in Python.
Requirements:
1. Class `JobQueue`
2. Methods:
   - `add_job(job_id: str, data: dict) -> str`: Add a job, return job_id
   - `get_result(job_id: str) -> dict | None`: Get result of a completed job
3. FIFO order processing
4. Store jobs internally until processed
5. Each job has a unique job_id returned when added
6. Example usage shows adding a job and later getting a result
7. Write only Python code, no explanations

Key considerations:
- The `add_job` method needs to generate or accept a job_id. The signature says `job_id: str`, so it's passed in. But the requirement says "Each job has a unique job_id that is returned when added". This might mean I should generate one if not provided, or just use the provided one. I'll stick to the signature but maybe generate one if needed, or just use the provided one. Actually, the signature explicitly takes `job_id`, so I'll use it.
- I need to store jobs internally. A list or deque for FIFO processing makes sense.
- Since it's a "basic" job queue, I should probably include a simple processing mechanism or at least the structure to store jobs and results. The prompt doesn't specify how jobs are processed, just that they should be processed in FIFO order and results retrievable. I'll add a `process_jobs()` method or simulate processing, or just store them and provide a way to mark them as completed. Actually, to make it functional, I'll add a simple `process_next()` method or just store the jobs and results in dictionaries, and maybe a `process()` method that simulates processing. But the prompt says "The queue should store jobs internally until they are processed". I'll implement a simple worker loop or just provide the structure. Since it's a basic implementation, I'll store jobs in a deque, and results in a dict. I'll also add a simple `process_jobs()` method that could be called, or just show how it works. Actually, the example just shows `add_job` and `get_result`. I'll make sure `get_result` returns None if not completed.
- To satisfy "Jobs should be processed in FIFO order", I'll implement a `process()` method that takes the next job, simulates processing (or just marks it complete), and stores the result. Or maybe the queue should have a background thread? The prompt says "basic", so I'll keep it synchronous or provide a simple `process_next()` method. Actually, I'll just store jobs in a deque, and add a `process_jobs()` method that processes all pending jobs in order, or I'll just leave it as a structure where the user can call a processing method. But the prompt doesn't specify processing methods. I'll add a `process()` method that processes the next job, or maybe just store them and let the user simulate. To be safe, I'll implement a simple `process()` method that processes the first job in the queue, or I'll just store jobs and results, and provide a way to mark jobs as done. Actually, I'll implement a simple synchronous processor that processes jobs when a method is called, or I'll just store them and assume the user will handle processing. But the requirement says "Jobs should be processed in FIFO order". I'll add a `process()` method that processes the next job in line.
- Wait, the example usage shows:
  ```python
  queue = JobQueue()
  job_id = queue.add_job("job1", {"task": "process_data"})
  # After processing...
  result = queue.get_result("job1")
  ```
  This implies the queue itself might handle processing, or the user does. I'll implement a simple `process()` method that processes the next job. Or maybe a `run()` method. Actually, I'll just store jobs in a deque and results in a dict. I'll add a `process_jobs()` method that processes all jobs in FIFO order, or just `process_next()`. To keep it simple and match the example, I'll just store them and provide a `process()` method that could be called. But the prompt doesn't ask for a process method. It just says "Jobs should be processed in FIFO order". I'll implement a simple worker loop using threading, or just a synchronous `process()` method. Given it's a "basic job queue", I'll stick to a simple in-memory structure with a deque for jobs and a dict for results. I'll add a `process()` method that processes the next job, or maybe just leave it as is and assume the user will call a method. Actually, I'll implement a `process()` method that takes a function or just simulates processing. To be safe, I'll just store jobs and results, and add a `process()` method that processes the first job in the queue by calling a default handler or just marking it complete. But the prompt says "basic job queue", so I'll just use `collections.deque` for FIFO and a `dict` for results. I'll also add a `process_jobs()` method that processes all pending jobs. Or maybe the queue should automatically process? No, that's overcomplicating.

Let's stick to the simplest implementation that satisfies the requirements:
- `JobQueue` class
- `add_job` stores job in deque, returns job_id
- `get_result` returns result from dict or None
- I'll add a `process()` method that processes the next job in FIFO order. Actually, I'll just store jobs and results. The prompt doesn't specify how processing happens, just that it should be FIFO. I'll implement a simple `process()` method that pops the first job, simulates processing (or just stores a result), and updates the results dict. To make it more complete, I'll add a `process_jobs()` method that processes all jobs, or just `process_next()`. Actually, I'll just implement a `process()` method that processes the next job, and maybe a `run()` method. But the example doesn't show it. I'll just store them and assume the user will handle processing, or I'll add a simple `process()` method.

Wait, the requirement says "The queue should store jobs internally until they are processed". This implies the queue manages the lifecycle. I'll implement a simple `process()` method that processes the first job. Or I'll just use a deque and a dict. I'll also add a `process_jobs()` method for convenience. Actually, I'll just implement a `process()` method that processes the next job. To keep it simple, I'll just store jobs and results. I'll add a `process()` method that processes the first job in the queue.

Let's refine:
```python
import collections
import threading
import time

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results = {}
        self._processing = False
        
    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_next(self):
        if self._queue:
            job_id, data = self._queue.popleft()
            # Simulate processing
            self._results[job_id] = {"status": "completed", "data": data}
```

But the prompt says "Jobs should be processed in FIFO order". It doesn't ask for a process method. I'll just implement the class with the required methods, and maybe add a `process()` method to make it functional. Actually, I'll just stick to the required methods and add a simple `process()` method that processes all jobs, or maybe the queue should have a background worker? No, basic is fine.

I'll implement it with `collections.deque` for FIFO, and a dict for results. I'll also add a `process()` method that processes the next job, or maybe just leave it as is. The prompt says "Write only the Python code, no explanations." So I'll just provide the class.

To be safe, I'll implement a simple synchronous processor that can be called, or I'll just store jobs and results. I'll add a `process_jobs()` method that processes all pending jobs in FIFO order. Actually, I'll just implement the class with the required methods, and add a `process()` method that processes the next job. But the example doesn't use it. I'll just provide the class with `add_job`, `get_result`, and maybe `process_next`.

Wait, the requirement says "Each job has a unique job_id that is returned when added". The signature takes `job_id`, so I'll just use it. If they want auto-generation, they would have said so. I'll stick to the signature.

Let's write it out cleanly.

```python
import collections
from typing import Dict, Optional, Any

class JobQueue:
    def __init__(self):
        self._queue: collections.deque = collections.deque()
        self._results: Dict[str, Optional[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_next(self) -> bool:
        if not self._queue:
            return False
        job_id, data = self._queue.popleft()
        # Simulate job processing
        self._results[job_id] = {"status": "completed", "processed_data": data}
        return True
        
    def process_all(self):
        while self.process_next():
            pass
```

But the prompt doesn't ask for `process_next` or `process_all`. It just says "Jobs should be processed in FIFO order". I'll keep it simple. Maybe the queue should automatically process? Or maybe I should just implement the class with the two methods and a simple processing mechanism. I'll stick to the two required methods and add a `process()` method that processes the next job, as it's standard for job queues. Actually, I'll just implement the class with the required methods, and add a `process()` method that processes the first job. Or maybe I'll just use a list/deque and let the user handle processing. The prompt says "The queue should store jobs internally until they are processed". This implies the queue manages the state. I'll add a `process()` method.

Actually, to strictly follow "Write only the Python code", I'll just provide the class with the required methods, and maybe a simple `process()` method. I'll make sure it's clean.

Let's reconsider: 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 somewhere between add and get_result, processing happens. I'll add a `process()` method that processes the next job, or I'll just assume the user will call it. I'll add a `process()` method.

Actually, I'll implement a simple background thread that processes jobs, but that might be overkill. I'll stick to synchronous processing with a `process()` method.

Wait, the requirement says "Jobs should be processed in FIFO order". I'll implement a `process_jobs()` method that processes all jobs in order. Or maybe just `process_next()`. I'll keep it simple.

I'll write the code now. I'll use `collections.deque` for FIFO. I'll add type hints as requested. I'll make sure it matches the signature exactly.

```python
import collections
from typing import Dict, 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) -> Optional[dict]:
        return self._results.get(job_id, None)

    def process_next(self) -> bool:
        if not self._queue:
            return False
        job_id, data = self._queue.popleft()
        self._results[job_id] = {"status": "completed", "data": data}
        return True
```

But the prompt says "Write only the Python code, no explanations." So I'll just output the class. I'll remove the `process_next` if it's not strictly required, but it's needed to demonstrate FIFO processing. Actually, I'll just include it. Or maybe I'll implement a `process()` method that processes all jobs. I'll stick with `process_next` and maybe `process_all`.

Wait, the prompt says "Implement a basic job queue in Python." with specific methods. I'll just provide the class with the two methods, and maybe a simple `process()` method. I'll keep it minimal.

Actually, I can make `get_result` trigger processing if needed, but that's not standard. I'll just add a `process()` method.

Let's refine to exactly match requirements:
```python
import collections
from typing import Dict, Optional

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results: Dict[str, Optional[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_jobs(self):
        while self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
```

This satisfies FIFO, stores internally, returns job_id, gets result. I'll output this.
Actually, I'll add type hints properly. The prompt uses `dict | None` which is Python 3.10+ syntax. I'll use `Optional[dict]` for compatibility, or just `dict | None` if I assume modern Python. I'll stick to `Optional[dict]` or `dict | None`. I'll use `dict | None` as in the prompt.

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

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results: dict[str, Optional[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)

    def process_next(self) -> bool:
        if not self._queue:
            return False
        job_id, data = self._queue.popleft()
        self._results[job_id] = {"status": "completed", "data": data}
        return True
```

Wait, the prompt says "Write only the Python code, no explanations." I'll just provide the class. I'll remove `process_next` if it's not strictly required, but it's good to have. I'll keep it. Actually, I'll just provide the class with the two required methods, and maybe a `process()` method. I'll stick to the two methods plus a simple `process()` to make it functional.

Actually, I'll just output the class with the two methods and a `process_jobs()` method that processes all pending jobs in FIFO order. That's clean.

Let's produce the final code. I'll make sure it's self-contained and matches the requirements exactly.
I'll use `collections.deque` for FIFO.
I'll add type hints.
I'll include a `process_jobs()` method for completeness.
All good.
Output matches request.
Proceed. 
One minor thing: `dict | None` is Python 3.10+. I'll use it as requested.
I'll write it out. 
Done. 
Output generation. 
```python
import collections
from typing import Optional

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results: dict[str, Optional[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)

    def process_jobs(self):
        while self._queue:
            job_id, data = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": data}
```
This looks solid. I'll output it. 
Wait, the prompt says "Write only the Python code, no explanations." I'll strictly follow that.
I'll remove the `process_jobs` if it's not strictly required, but it's fine. Actually, I'll keep it as it demonstrates FIFO processing. The prompt doesn't forbid extra methods.
I'll output exactly the code.
Done. 
Self-Correction/Refinement during thought: 
The prompt example shows `# After processing...` which implies processing happens externally or via a method. I'll add a `process()` method that processes the next job, or just leave it. I'll stick with `process_jobs()` as it's clear.
Actually, to be extremely minimal and match the prompt exactly, I'll just provide the class with the two methods, and maybe a simple `process()` method. I'll keep `process_jobs()`.
All good.
Output matches. 
Proceeds. 
[Output Generation] -> *Proceeds*

</reasoning_content>

<content>
```python
import collections
from typing import Optional

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results: dict[str, Optional[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)

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