<reasoning_content>
The user wants a basic job queue implementation in Python.
Requirements:
- Class `JobQueue`
- Method `add_job(job_id: str, data: dict) -> str`
- Method `get_result(job_id: str) -> dict | None`
- FIFO order processing
- Internal storage until processed
- Unique job_id returned when added (though the example shows passing job_id to add_job, the requirement says "return job_id" and "Each job has a unique job_id that is returned when added". I'll stick to the signature provided: `add_job(job_id: str, data: dict) -> str`. The example passes "job1" and expects it back. I'll just store it and return it, or generate one if needed. The signature says `job_id: str` is an input, so I'll use that.)
- Processing: The requirement says "Jobs should be processed in FIFO order" and "The queue should store jobs internally until they are processed". It doesn't specify *how* they are processed (e.g., by a worker thread, or a method to process them). I should probably add a `process()` method or assume the user will call something to process them. Wait, the requirements only list `add_job` and `get_result`. I'll add a `process_next()` or similar, or just make it clear. Actually, a basic job queue usually implies a way to retrieve and process jobs. I'll add a `process()` method that processes the next job in FIFO order and stores the result. Or maybe the processing is external? The requirement says "Jobs should be processed in FIFO order", which implies the queue handles it or provides a way to do so. I'll add a `process()` method that simulates processing (e.g., returning `{"status": "completed", "data": data}`) and stores it.

Let's refine:
- `add_job(job_id, data)`: stores job in queue, returns job_id
- `get_result(job_id)`: returns result if completed, else None
- Need a way to process. I'll add `process()` method that takes the first job, "processes" it (maybe just echoes data or adds a status), stores result, removes from queue.
- Actually, the prompt says "Implement a basic job queue... Jobs should be processed in FIFO order". It doesn't specify the processing logic. I'll make a simple `process()` method that processes the next job and stores the result.

Wait, the example usage shows:
```python
queue = JobQueue()
job_id = queue.add_job("job1", {"task": "process_data"})
# After processing...
result = queue.get_result("job1")
```
It implies that somewhere between adding and getting result, processing happens. I'll add a `process()` method to the class.

Let's design the class:
```python
import collections

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

    def add_job(self, job_id: str, data: dict) -> str:
        self.jobs.append((job_id, data))
        return job_id

    def process(self):
        if not self.jobs:
            return None
        job_id, data = self.jobs.popleft()
        # Simulate processing
        result = {"status": "completed", "data": data}
        self.results[job_id] = result
        return result

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

Wait, should `process()` be automatic or manual? The prompt doesn't specify. I'll stick with a manual `process()` method as it's standard for basic queues. Alternatively, I could make it so that `get_result` triggers processing, but that's not typical. I'll just add `process()` or `process_all()`. The prompt only lists `add_job` and `get_result` in requirements 1, but says "Jobs should be processed in FIFO order". I'll add a `process()` method.

Actually, maybe the processing is expected to be done by the user calling a method, or maybe I should just implement the storage and retrieval, and assume processing happens externally? But requirement 3 says "The queue should store jobs internally until they are processed". This implies the queue manages the state.

I'll implement `process()` that processes one job. I'll also add type hints as requested.

Let's check the signature: `add_job(job_id: str, data: dict) -> str`
The example passes `"job1"` as job_id. So I'll just use the provided job_id.

One thing: `get_result(job_id: str) -> dict | None`
I'll use `typing.Dict` and `typing.Optional` for broader compatibility, or just stick to `dict | None` as requested. The prompt uses `dict | None`, so I'll use that.

I'll write the code concisely.

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

class JobQueue:
    def __init__(self) -> None:
        self._queue: collections.deque = collections.deque()
        self._results: Dict[str, dict] = {}

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

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

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

Wait, should `process()` be required? The prompt doesn't list it in requirements 1, but says "Jobs should be processed in FIFO order". I'll include it as it's necessary to fulfill the processing requirement. Alternatively, I could make `get_result` process jobs up to that point, but that's weird. I'll stick with `process()`.

Actually, maybe the prompt expects a simpler implementation where processing is just a simulation or the user calls a method. I'll add `process()` to be safe.

Let's reconsider the exact wording: "Implement a basic job queue in Python." "Requirements: 1. Create a JobQueue class with the following methods: add_job, get_result. 2. Jobs should be processed in FIFO order. 3. The queue should store jobs internally until they are processed. 4. Each job has a unique job_id that is returned when added."

It doesn't explicitly ask for a `process` method, but without it, how are jobs processed? I'll add a `process()` method. It's standard.

I'll make sure the code matches the requirements exactly. I'll use `collections.deque` for FIFO.

One minor point: `dict | None` is Python 3.10+ syntax. I'll use it as requested.

Code structure:
```python
import collections
from typing import Dict, Optional

class JobQueue:
    def __init__(self) -> None:
        self._queue: collections.deque = collections.deque()
        self._results: Dict[str, dict] = {}

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

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

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

Is there anything else? 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 that between add and get_result, processing happens. I'll add a comment or just assume `queue.process()` is called. The prompt says "Write only the Python code, no explanations."

I'll provide exactly the class implementation. I'll make sure it's self-contained.

One thing: `typing.Dict` and `typing.Optional` might conflict with `dict | None` if not careful, but it's fine. I'll just use built-in types for simplicity since Python 3.9+ supports `dict` and `list` directly, and the prompt uses `dict | None`.

Let's stick to:
```python
import collections

class JobQueue:
    def __init__(self) -> None:
        self._queue: collections.deque = collections.deque()
        self._results: dict = {}

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

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

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

This looks solid. It fulfills all requirements. FIFO via deque. Stores internally. Returns job_id. get_result returns dict or None. Processing is handled via `process()` method which respects FIFO.

I'll output just the code as requested.
One detail: `collections.deque` import is needed.
I'll make sure the code is clean.
No extra text.
Done. 
Let's double check requirement 4: "Each job has a unique job_id that is returned when added". The signature takes `job_id` as argument, so uniqueness is assumed by the caller, or I could generate it. But the signature says `job_id: str`, so I'll just use it. The example passes "job1". It's fine.

All good.
Output matches request.✅
Proceed. 
Output generation. 
```python
import collections

class JobQueue:
    def __init__(self) -> None:
        self._queue: collections.deque = collections.deque()
        self._results: dict[str, dict] = {}

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

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

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
Wait, `dict[str, dict]` requires Python 3.9+. The prompt uses `dict | None`, so 3.10+ is assumed. I'll stick to `dict` without subscripting to be safe, or use `typing.Dict`. I'll just use `dict` for the internal storage type hint to avoid version issues, or `dict[str, dict]` is fine. I'll keep it simple.

Actually, I'll just use `self._results = {}` without type hint to be concise, or `self._results: dict = {}`.

Final code:
```python
import collections

class JobQueue:
    def __init__(self) -> None:
        self._queue: collections.deque = collections.deque()
        self._results: dict = {}

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

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

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
This meets all requirements. I will output exactly this.
One minor thing: The prompt says "Write only the Python code, no explanations." I will comply.
Done. 
Proceeds. 
(Self-Correction/Refinement during thought)
Should `process()` be named something else? The prompt doesn't specify a process method name. `process()` is fine. Alternatively, I could make `get_result` automatically process jobs up to that point, but that's non-standard. I'll stick with `process()`.
Actually, to be strictly compliant with "Write only the Python code", I'll just provide the class.
All good. 
Output matches. 
Proceeds. 
[Output Generation] -> *outputs code*
(Note: I'll make sure type hints match the prompt's style exactly.)
`dict | None` is used in prompt, so Python 3.10+ is implied. I'll use `from __future__ import annotations` if needed, but not strictly necessary. I'll just write it cleanly.
Done. 
Output Generation. 
```python
import collections

class JobQueue:
    def __init__(self) -> None:
        self._queue: collections.deque = collections.deque()
        self._results: dict = {}

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

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

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
Looks good. I will output this exactly. 
Wait, should I include `process()`? The requirements don't explicitly list it, but say "Jobs should be processed in FIFO order". Without a method to trigger processing, the queue is useless. I'll keep it. It's standard.
Alternatively, I could make the queue process automatically in a thread, but that's overkill for "basic".
I'll stick with `process()`.
Done. 
Output matches response. 
Proceeds. 
[Final Check]
- Class `JobQueue`? Yes.
- `add_job(job_id: str, data: dict) -> str`? Yes.
- `get_result(job_id: str) -> dict | None`? Yes.
- FIFO? Yes, `collections.deque`.
- Stores internally? Yes.
- Unique job_id returned? Yes.
- Only Python code? Yes.
All constraints met.
Output generation. 
(Self-Correction/Note during generation prep)
I realize the prompt might expect the processing to happen internally or via a method. I'll add `process()` as it's necessary. If they wanted automatic processing, they'd specify threading. I'll keep it simple.
Ready. 
Output matches the code block. 
Proceeds. 
[Output Generation] -> *outputs the code*
(Note: I'll remove the type hint for `self._results` to avoid any version compatibility warnings, though it's fine. I'll just use `self._results = {}`.)
Actually, I'll keep type hints as they are standard.
Done. 
```python
import collections

class JobQueue:
    def __init__(self) -> None:
        self._queue: collections.deque = collections.deque()
        self._results: dict = {}

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

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

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
This is the final code. All good. 
Output matches. 
Proceeds. 
[Final Output Generation] (matches the response)
```python
import collections

class JobQueue:
    def __init__(self) -> None:
        self._queue: collections.deque = collections.deque()
        self._results: dict = {}

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

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

    def get_result(self, job_id: str) -> dict | None:
        return self._results.get(job_id, None)
```
Done. 
(Self-Correction/Verification during thought)
Wait, the prompt says "Write only the Python code, no explanations." I will strictly follow that.
The code is ready.
Proceeds. 
[Output] -> *outputs code*
(Note: I'll make sure indentation is correct and imports are included.)
All good.

</reasoning_content>

<content>
```python
import collections

class JobQueue:
    def __init__(self) -> None:
        self._queue: collections.deque = collections.deque()
        self._results: dict = {}

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

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

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