<reasoning_content>
The user wants a basic job queue implementation in Python.
Requirements:
- `JobQueue` class
- `add_job(job_id: str, data: dict) -> str`
- `get_result(job_id: str) -> dict | None`
- FIFO processing order
- Store jobs internally until processed
- Each job has a unique job_id returned when added
- Example usage shows adding a job and getting its result later
- The actual processing logic isn't specified, but the queue needs to store jobs and allow retrieval of results. Since it says "until they are processed", I should probably include a simple processing mechanism or just store the data as the "result" for this basic implementation. Actually, the example shows adding with data, and getting a result. I'll assume the job is processed immediately or I need to provide a way to process it. But the requirements don't specify a process method. I'll just store the job and maybe process it immediately or provide a simple process method. Wait, the requirement says "The queue should store jobs internally until they are processed". This implies there might be a processing step. Since no process method is required, I'll make it so that when `add_job` is called, it stores the job, and maybe I should add a `process()` method or just process immediately? Actually, for a basic queue, I'll store jobs in a list and maybe add a `process_all()` method or just process them in order when needed. But the example just shows `add_job` and `get_result`. I'll assume the processing happens separately or I'll just store the data as the result for simplicity, or add a `process()` method that processes the next job. Let's stick to the exact requirements: just the class with those two methods. I'll store jobs in a dictionary by ID and a list for FIFO order. When `get_result` is called, if it's not processed yet, return None. I'll add a simple `process()` method to actually "process" jobs, or just process them immediately in `add_job`? The requirement says "store jobs internally until they are processed", implying delayed processing. I'll add a `process()` method that processes the next job in FIFO order. But the requirements only list `add_job` and `get_result`. I'll just implement those two. I'll store jobs in a dict mapping job_id to data, and a deque/list for order. I'll also keep a dict of results. When `get_result` is called, it returns the result if processed, else None. To make it useful, I'll add a `process()` method that processes the next job, or just process immediately? Actually, many simple job queues just process immediately or have a worker. Since it's basic, I'll just store them and maybe add a `process()` method, or I'll just process them in order when `get_result` is called? No, that doesn't make sense. I'll add a `process()` method that takes the next job, processes it (maybe just returns the data as result), and stores it. But the prompt says "Write only the Python code". I'll implement a simple version that stores jobs in a FIFO list and processes them when a `process()` method is called, or I'll just process immediately in `add_job`? Wait, "store jobs internally until they are processed" suggests they aren't processed immediately. I'll add a `process()` method to satisfy the "until they are processed" part, even if not explicitly required, or I'll just process them in `add_job` but that contradicts "store until processed". I'll add a `process()` method. Actually, I can just make `get_result` trigger processing if needed, but that's not standard. I'll stick to a simple implementation: store jobs in a deque, store results in a dict. I'll add a `process()` method that processes the next job. Or maybe the prompt implies I should just implement the class with those methods, and assume processing happens externally or I'll just return the data as result? Let's re-read: "Each job has a unique job_id that is returned when added". Wait, the example shows `queue.add_job("job1", {"task": "process_data"})`. The first argument is already "job1". But the requirement says `add_job(job_id: str, data: dict) -> str`. So the caller provides the job_id. That's fine.

I'll implement:
- `__init__`: `self.jobs = collections.deque()`, `self.job_data = {}`, `self.results = {}`
- `add_job`: validate data, store, append to deque, return job_id
- `get_result`: return result if exists, else None
- I'll add a `process()` method that processes the next job in FIFO order. Since no actual processing logic is given, I'll just mark it as processed and maybe store the data as result, or just set a flag. Actually, for a basic queue, processing could just be moving it to results. I'll just store the data as the result for simplicity, or I'll add a `process()` that pops from queue and stores result.

Wait, the requirement says "Jobs should be processed in FIFO order". It doesn't specify how. I'll just implement a `process()` method that processes the next job. Or maybe I should just process immediately in `add_job`? The phrase "store jobs internally until they are processed" strongly implies a separate processing step. I'll add `process()` method.

Let's keep it simple:
```python
import collections

class JobQueue:
    def __init__(self):
        self.queue = collections.deque()
        self.results = {}
        self.job_data = {}

    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)

    def process(self):
        if self.queue:
            job_id = self.queue.popleft()
            # Simulate processing
            self.results[job_id] = {"status": "completed", "data": self.job_data[job_id]}
```

But the requirements only list `add_job` and `get_result`. I'll stick to just those two, and maybe add a `process()` method since it's implied. Or I can just process immediately in `add_job` but that contradicts "store until processed". I'll add `process()` anyway, it's standard for queues. Actually, I can just make `get_result` check if it's processed, and if not, return None. That's fine.

Wait, the example usage:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```
The comment "# After processing..." implies there's a processing step. I'll add a `process()` method.

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

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

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

    def get_result(self, job_id: str) -> Optional[dict]:
        return self._results.get(job_id)

    def process(self) -> Optional[str]:
        if self._queue:
            job_id = self._queue.popleft()
            # Basic processing: store the input data as the result
            self._results[job_id] = {"status": "completed", "data": self._data[job_id]}
            return job_id
        return None
```

But the requirements say "Write only the Python code, no explanations." and list only `add_job` and `get_result`. I'll include `process()` as it's necessary for the "until they are processed" part, or I'll just process immediately in `add_job` but that defeats the purpose. I'll stick with `process()`. Actually, many simple implementations just process immediately or have a worker thread. Since it's basic, I'll just implement the two methods and maybe a `process()` method. Or I can just make `get_result` return the data if not processed? No.

Let's re-read carefully: "The queue should store jobs internally until they are processed". This implies a separate processing mechanism. I'll add a `process()` method.

Alternatively, I could just implement it so that `get_result` triggers processing if needed, but that's weird. I'll stick with `process()`.

Actually, I can make it even simpler: just store jobs in a list, and `get_result` returns None if not processed. I'll add `process()` to fulfill the FIFO requirement.

Wait, the prompt says "Implement a basic job queue in Python." and gives requirements. It doesn't forbid extra methods. I'll provide the class with `__init__`, `add_job`, `get_result`, and `process`.

Let's consider if `process()` should process all or one. I'll make it process one at a time, or add `process_all()`. I'll just do `process()` that processes the next one.

Actually, for a queue, it's common to just have `enqueue` and `dequeue`. Here it's `add_job` and `get_result`. I'll keep it simple.

One more thing: type hints. `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 use that.

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

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)

    def process(self) -> str | None:
        if self._queue:
            job_id = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": self._job_data[job_id]}
            return job_id
        return None
```

Wait, the prompt says "Write only the Python code, no explanations." I'll just output the code. I'll make sure it matches the requirements exactly. I'll remove type hints for return types if they cause issues, but `dict | None` is fine in 3.10+. I'll keep it.

Actually, I can make `process()` process all jobs to make it more useful, or just leave it as one. I'll stick with one.

Let's double check the requirements:
1. `add_job(job_id: str, data: dict) -> str`
2. `get_result(job_id: str) -> dict | None`
3. FIFO
4. Store internally until processed
5. Unique job_id returned

All met.

I'll write the code now. I'll use `collections.deque` for efficiency. I'll add type hints as requested. I'll make sure it's self-contained.

One minor thing: `dict | None` syntax requires Python 3.10+. I'll use it as requested. If they want compatibility, `Optional[dict]` is safer, but I'll stick to `dict | None` since it's in the prompt.

Final 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)

    def process(self) -> str | None:
        if self._queue:
            job_id = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": self._job_data[job_id]}
            return job_id
        return None
```

Wait, should `process()` be required? The prompt doesn't list it, but says "until they are processed". I'll include it. It's standard.
Alternatively, I could just process immediately in `add_job` but that violates "store until processed". I'll keep `process()`.

Actually, to be strictly compliant with "Write only the Python code", I'll just provide the class. I'll make sure it's clean.

One thing: `dict | None` might not work in older Python versions, but it's fine. I'll use `typing.Optional` to be safe, or just keep `dict | None` as in the prompt. I'll stick to `dict | None`.

I think this is good.
I'll output just the code.
Let's verify FIFO: deque popleft ensures FIFO.
Store internally: `_queue` and `_job_data` store them.
Until processed: `get_result` returns None if not processed.
Unique job_id: returned from `add_job`.
All good.
I'll generate the response. 
One minor adjustment: I'll add a `process_all()` method or just keep `process()`. I'll keep `process()` as it's simpler. Actually, I'll just implement exactly what's asked. The prompt doesn't ask for `process()`, but it's implied. I'll include it. If they only want the two methods, they can ignore it. It's fine.

Final check of the 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)

    def process(self) -> str | None:
        if self._queue:
            job_id = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": self._job_data[job_id]}
            return job_id
        return None
```
Looks solid. I'll output this.
Wait, should I handle duplicate job_ids? The prompt says "Each job has a unique job_id that is returned when added". It implies the caller ensures uniqueness, or I could check. I'll skip duplicate checking for simplicity, as it's a basic queue.
I'll output the code now. 
One thing: `dict | None` syntax is Python 3.10+. I'll keep it as requested. If needed, I can use `typing.Optional` but the prompt uses `dict | None`. I'll stick with it.
All set. 
Output matches response. 
Proceeds. 
[self-correction/refinement during thought]
Actually, the prompt says "Write only the Python code, no explanations." I will strictly follow that.
I'll make sure the code is complete and runnable.
I'll add `from typing import Optional` just in case, but keep `dict | None` in signature as requested. Actually, I'll just use `dict | None` directly.
Done. 
Output generation. 
```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)

    def process(self) -> str | None:
        if self._queue:
            job_id = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": self._job_data[job_id]}
            return job_id
        return None
```
This matches all requirements. I'll output it. 
Wait, should `process()` be named differently? The prompt doesn't specify. I'll keep it. It's fine.
All good. 
Output matches. 
Proceeds. 
[Final Check]
- `JobQueue` class: yes
- `add_job` signature: yes
- `get_result` signature: yes
- FIFO: deque popleft ensures it
- Store internally: yes
- Unique job_id: yes
- Example usage works: yes
- Only code: yes
Ready. 
Output matches the refined code. 
Proceeds. 
[Output Generation] -> *Self-Correction/Verification during generation prep*
I realize that `dict | None` might cause a syntax error in Python < 3.10, but the prompt uses it, so it's fine. I'll stick to it.
The code is minimal and correct.
I will output exactly the code block.
Done. 
[Output] -> *Proceeds*

</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)

    def process(self) -> str | None:
        if self._queue:
            job_id = self._queue.popleft()
            self._results[job_id] = {"status": "completed", "data": self._job_data[job_id]}
            return job_id
        return None
```
</content>