<reasoning_content>
The user wants a basic job queue implementation in Python.
Requirements:
1. `JobQueue` class with `add_job` and `get_result` methods.
2. FIFO processing order.
3. Internal storage until processed.
4. Unique job_id returned when added.
5. Example usage provided.

I need to implement a class that manages jobs.
Since it's a "basic" job queue and the example shows adding a job and then getting a result "after processing", I should probably include a mechanism to simulate processing or at least provide a method to process jobs. However, the requirements only explicitly ask for `add_job` and `get_result`. But for `get_result` to return anything other than `None`, jobs must be processed.

Let's look at the example:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```

The comment "# After processing..." suggests that somewhere processing happens. Since the requirements don't specify a `process_job` method, I might need to add one or assume the user will handle processing, but `get_result` implies the queue knows about results.

A simple way to implement this is:
- Use a dictionary to store jobs and their results.
- Use a list or `collections.deque` to maintain order.
- Provide a `process_next()` method to simulate processing, or just store the job data and let the user define how it's processed. However, for a self-contained example that works like the usage suggests, I should probably add a `process()` method that processes the next job in the queue and stores the result.

But the requirements strictly list only `add_job` and `get_result`. Let's re-read carefully: "Create a `JobQueue` class with the following methods: `add_job`, `get_result`". It doesn't forbid other methods. To make `get_result` useful, I need a way to process jobs. I'll add a `process_job()` method that processes the next job in FIFO order.

How should processing work? The requirements don't specify. I'll make it simple: the result will be the input data or a processed version. For simplicity, I'll just return the data or a status. Let's assume processing just marks it as done and returns the data.

Wait, the example shows `add_job` takes `job_id` as the first argument. The signature is `add_job(job_id: str, data: dict) -> str`. So the user provides the job_id.

Implementation plan:
- `__init__`: Initialize a dict for results, a list or deque for job order, and a set or dict for valid job_ids.
- `add_job`: Check if job_id exists? The requirement says "Each job has a unique job_id". I'll assume the caller ensures uniqueness or I'll raise an error if duplicate. I'll store the job in the queue.
- `get_result`: Check if job_id is in results. If yes, return result. Else return None.
- To make it functional, I'll add a `process_next()` method that takes the first job from the queue, simulates processing (maybe just stores the data as result), and removes it from the queue.

Actually, to keep it strictly within requirements but functional, I can make `get_result` check if the job has been processed. But without a processing step, it will always be None. I think adding a `process()` method is reasonable for a "job queue" implementation, even if not explicitly listed, because a queue without processing is just a list. However, the prompt says "Write only the Python code", so I'll include a simple processing method to demonstrate functionality, or I can just store jobs and let the user call a process method. I'll stick to the explicit requirements but add a `process_job()` method to make it usable.

Alternatively, maybe the queue is meant to be processed externally? The prompt says "The queue should store jobs internally until they are processed". This implies the queue itself might process them, or it just holds them. I'll add a `process()` method that processes the next job.

Let's refine:
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results = {}
        self._job_ids = set()
        
    def add_job(self, job_id: str, data: dict) -> str:
        if job_id in self._job_ids:
            raise ValueError(f"Job ID {job_id} already exists")
        self._queue.append((job_id, data))
        self._job_ids.add(job_id)
        return job_id
        
    def process_next(self) -> str | None:
        if not self._queue:
            return None
        job_id, data = self._queue.popleft()
        # Simulate processing: result is just the data for now
        self._results[job_id] = {"status": "completed", "data": data}
        return job_id
        
    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```

Wait, the requirement says "Write only the Python code, no explanations." I should provide just the class. I'll make sure it matches the signature exactly.
The example usage doesn't show calling `process_next()`, but it says "# After processing...". I'll add a `process()` method that processes all jobs or one job. To be safe, I'll implement a `process()` method that processes the next job. Or maybe I should just leave it so that `get_result` works after some external processing? No, a job queue typically processes jobs. I'll add a `process_job()` method.

Actually, I can make `get_result` check if the job has been processed, but without processing, it's useless. I'll stick with adding a `process_next()` method. The requirements don't forbid extra methods.

Let's reconsider the exact wording: "Create a `JobQueue` class with the following methods: `add_job`, `get_result`". It's possible they want a synchronous queue where processing happens immediately? No, "store jobs internally until they are processed" implies asynchronous or deferred processing.

I'll implement it with a `process()` method that processes the next job. I'll also make sure type hints are correct.

One detail: `get_result(job_id: str) -> dict | None` uses Python 3.10+ syntax for union. I'll keep it or use `Optional[dict]`. I'll stick to `dict | None` as requested.

Let's draft:

```python
import collections
from typing import Optional

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results = {}
        self._job_ids = set()

    def add_job(self, job_id: str, data: dict) -> str:
        if job_id in self._job_ids:
            raise ValueError(f"Duplicate job_id: {job_id}")
        self._queue.append((job_id, data))
        self._job_ids.add(job_id)
        return job_id

    def process_next(self) -> Optional[str]:
        if not self._queue:
            return None
        job_id, data = self._queue.popleft()
        self._results[job_id] = {"status": "completed", "data": data}
        return job_id

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

Wait, the prompt says "Write only the Python code, no explanations." I should output exactly that.
I'll remove the `Optional` import since I used `dict | None` in the signature, but I used `Optional` in `process_next`. I'll just use `dict | None` or `typing.Optional` consistently. Actually, `dict | None` is fine. I'll stick to standard typing.

Let's adjust to be clean and minimal.

```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results = {}
        self._job_ids = set()

    def add_job(self, job_id: str, data: dict) -> str:
        if job_id in self._job_ids:
            raise ValueError(f"Job ID '{job_id}' already exists")
        self._queue.append((job_id, data))
        self._job_ids.add(job_id)
        return job_id

    def process_next(self) -> str | None:
        if not self._queue:
            return None
        job_id, data = self._queue.popleft()
        self._results[job_id] = {"status": "completed", "data": data}
        return job_id

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

This looks solid. It satisfies all requirements:
1. `JobQueue` class with `add_job` and `get_result`.
2. FIFO order via `deque`.
3. Stores jobs internally until processed.
4. Returns job_id.
5. Includes a `process_next` method to actually process jobs, which is necessary for `get_result` to return anything. I could also add a `process_all()` method, but `process_next` is fine. The prompt doesn't specify processing method, so I'll keep it simple.

One thing: The example shows `add_job("job1", {"task": "process_data"})`. Note the first argument is named `job_id` in the signature but in the example it's passed as a positional argument `"job1"`. That's fine.

I'll output just the code as requested.
I should make sure type hints match exactly: `add_job(job_id: str, data: dict) -> str` and `get_result(job_id: str) -> dict | None`.
I'll use `typing.Optional` if needed, but `dict | None` is standard in 3.10+. I'll stick with it.

Final check of the code:
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results = {}
        self._job_ids = set()

    def add_job(self, job_id: str, data: dict) -> str:
        if job_id in self._job_ids:
            raise ValueError(f"Duplicate job_id: {job_id}")
        self._queue.append((job_id, data))
        self._job_ids.add(job_id)
        return job_id

    def process_next(self) -> str | None:
        if not self._queue:
            return None
        job_id, data = self._queue.popleft()
        self._results[job_id] = {"status": "completed", "data": data}
        return job_id

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

This meets all criteria. I will output this.
One minor point: The requirement says "Write only the Python code, no explanations." I will strictly follow that.
I'll remove the `process_next` if it's not strictly required, but it's needed for functionality. I'll keep it. Alternatively, I could make `get_result` process jobs? No, that's bad design. I'll keep `process_next`.

Actually, to be extremely compliant, I could just implement exactly what's asked and assume processing happens externally, but then `get_result` would always return `None` unless I populate `_results` somehow. I'll stick with `process_next`.

Wait, maybe the queue is supposed to be processed in a separate thread? The prompt says "basic job queue", so synchronous processing is fine.

I'll output the code now.
One thing: `dict | None` syntax requires Python 3.10+. I'll assume that's fine. If not, `Optional[dict]` is safer. I'll use `dict | None` as requested.

Code looks good.
Proceed. 
Output matches the draft.✅
I will present the code block directly.
No extra text.
Done. 
Let's generate. 
(Self-Correction/Refinement during thought)
Actually, the prompt says "Write only the Python code, no explanations." I will ensure absolutely no markdown text except the code block if necessary, but usually just the code is fine. I'll wrap it in a code block as is standard.
I'll also add a `process()` method that processes all jobs, or just leave `process_next`. The example doesn't show processing, so it's fine.
I'll stick to the draft.
One detail: `add_job` signature in prompt: `add_job(job_id: str, data: dict) -> str`. Example: `queue.add_job("job1", {"task": "process_data"})`. Matches.
All good.
Output matches. 
Proceeds. 
[Output Generation] -> *Code Block*
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results = {}
        self._job_ids = set()

    def add_job(self, job_id: str, data: dict) -> str:
        if job_id in self._job_ids:
            raise ValueError(f"Duplicate job_id: {job_id}")
        self._queue.append((job_id, data))
        self._job_ids.add(job_id)
        return job_id

    def process_next(self) -> str | None:
        if not self._queue:
            return None
        job_id, data = self._queue.popleft()
        self._results[job_id] = {"status": "completed", "data": data}
        return job_id

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
This is complete. I'll output it. 
Wait, should I include type hints for `process_next`? The prompt didn't ask for it, but it's fine. I'll keep it simple.
All good. 
Output matches response. 
Proceeds. 
[Final Check]
- `JobQueue` class? Yes.
- `add_job` and `get_result` methods? Yes.
- FIFO? Yes, `deque`.
- Stores internally? Yes.
- Unique job_id returned? Yes.
- Only Python code? Yes.
Ready. 
Output Generation. 
*(Self-Correction/Note during generation prep)*: I realize the prompt might expect just the class without extra methods if it's a strict test. But a queue without processing is useless. I'll keep `process_next` as it's standard. Alternatively, I could just implement exactly what's asked and assume the user handles processing, but `get_result` would be useless then. I'll stick with `process_next`. It's fine.
Actually, to be perfectly aligned with "basic job queue", I'll just provide the class with the requested methods and a simple `process()` method. It's standard.
I will output exactly the code.
Done. 
[Output] -> *Proceeds*

</reasoning_content>

<content>
```python
import collections

class JobQueue:
    def __init__(self):
        self._queue = collections.deque()
        self._results = {}
        self._job_ids = set()

    def add_job(self, job_id: str, data: dict) -> str:
        if job_id in self._job_ids:
            raise ValueError(f"Duplicate job_id: {job_id}")
        self._queue.append((job_id, data))
        self._job_ids.add(job_id)
        return job_id

    def process_next(self) -> str | None:
        if not self._queue:
            return None
        job_id, data = self._queue.popleft()
        self._results[job_id] = {"status": "completed", "data": data}
        return job_id

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