<reasoning_content>
*   Goal: Implement a basic job queue in Python.
    *   Requirement 1: `JobQueue` class with `add_job(job_id, data)` and `get_result(job_id)`.
    *   Requirement 2: FIFO processing order.
    *   Requirement 3: Internal storage.
    *   Requirement 4: Unique `job_id`.
    *   Constraint: Write only Python code, no explanations.

    *   `jobs_queue`: A list or `collections.deque` to maintain FIFO order.
    *   `results`: A dictionary to store results mapping `job_id` to the result.
    *   `processed_jobs`: A way to track which jobs are done or pending.

    *   `add_job(job_id, data)`:
        *   Check if `job_id` already exists (optional but good for robustness).
        *   Store the job data in a queue.
        *   Return the `job_id`.
    *   `get_result(job_id)`:
        *   Look up the result in the results dictionary.
        *    Return result or `None`.

    Wait, the prompt implies "processing" needs to happen. Since it's a "basic job queue", I should probably include a way to simulate/actually process the jobs or at least have a mechanism where a worker (or a method) moves jobs from the queue to the result map.
    However, the prompt only asks for two specific methods: `add_job` and `get_result`.
    If I only implement those two, how does a job get "processed"?
    The example says `# After processing...`.
    I should probably include a `process_jobs()` method or make the `add_job` start a thread (but that's complicated for a "basic" queue).
    Actually, looking at the requirements strictly:
    - `add_job`: returns `job_id`.
    - `get_result`: returns result.
    - "Jobs should be processed in FIFO".
    This implies there needs to be a way to process them. I'll add a `process_jobs` method to fulfill the FIFO requirement and the "processed" state.

    *Alternative interpretation*: Maybe the user wants a simple storage where I put jobs in a queue, and there's some implicit logic. But to make it functional, I need a method to move from "queued" to "completed".

    Let's refine the internal structure:
    - `self.queue`: `collections.deque` of `(job_id, data)`
    - `self.results`: `dict` of `job_id: result`

    Wait, looking at the example:
    `job_id = queue.add_job("job1", {"task": "process_data"})`
    `result = queue.get_result("job1")`
    If I don't have a `process_jobs` method, `get_result` will always be `None` unless I simulate processing.

    Let's look at the requirement: "Jobs should be processed in FIFO order". This implies a `process_next_job()` or `process_all_jobs()` method is necessary for the internal logic to work.

    Revised Class Structure:
    ```python
    from collections import deque
    from typing import Dict, Optional

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

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

        def process_jobs(self):
            # To satisfy the "processed in FIFO order" requirement
            while self.queue:
                job_id, data = self.queue.popleft()
                # Simulate processing logic
                self.results[job_id] = {"status": "completed", "data": data}

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

    Wait, the prompt *only* lists two specific methods in the requirements. I should stick to the requirements but ensure the logic allows for the example to work.
    If I strictly follow the list:
    1. `add_job`
    2. `get_result`
    How does the "processing" happen?
    If I don't add a process method, the user's code `result = queue.get_result("job1")` would always be `None`.
    Maybe the requirement "Jobs should be processed in FIFO order" implies that the *implementation* of the queue should handle the order internally.
    Actually, I'll provide a simple `process_jobs` method even if not explicitly in the list, because otherwise the class is useless for the provided example. Or, I can make `add_job` automatically process? No, that's not a queue.

    Let's look at the requirement again: "The queue should store jobs internally until they are processed".
    This strongly suggests there's a step between `add_job` and `get_result`.

    I'll include a `process_jobs` method.

    *Refining Requirement 4*: "Each job has a unique job_id that is returned when added".
    The example shows `queue.add_job("job1", ...)` where "job1" is passed in.
    Wait, the example shows the user passing "job1" as the id.
    Requirement 4 says "Each job has a unique job_id that is returned when added".
    In the example: `job_id = queue.add_job("job1", ...)` -> `job_id` becomes `"job1"`.
    So the user provides the ID, but the requirement says the queue ensures it's unique? Or the queue generates it?
    Example: `queue.add_job("job1", ...)` - User provides the ID.
    Requirement: `add_job(job_id: str, ...)` - ID is an input.
    Requirement 4: "Each job has a unique job_id that is returned when added".
    This is slightly ambiguous. If the user provides it, the queue should probably check for uniqueness.

    Let's write the code.

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

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

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

        def process_jobs(self) -> None:
            """Processes all jobs in the queue in FIFO order."""
            while self._queue:
                job_id, data = self._queue.popleft()
                # Simulate actual processing logic here
                self._results[job_id] = {"result": f"Processed {data.get('task')}"}

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

    Wait, the prompt doesn't ask for `process_jobs` in the method list. But it's impossible to "process" without a method. I'll include it.

    Wait, another look at the prompt:
    `job_id = queue.add_job("job1", {"task": "process_data"})`
    `# After processing...`
    `result = queue.get_result("job1")`
    The `# After processing...` comment suggests that the processing happens outside the `JobQueue` class methods provided, OR there's a method the user calls that isn't listed.
    Actually, usually in these prompts, if a method isn't listed but necessary for the logic, I should include it or implement it such that the provided methods work.

    Let's consider if `add_job` should trigger processing. But the requirement says "store jobs internally until they are processed". This implies a state of "waiting".

    Let's just implement exactly what's asked.

    Methods:
    1. `add_job(job_id: str, data: dict) -> str`
    2. `get_result(job_id: str) -> dict | None`

    To satisfy "processed in FIFO order", I will provide a `process_next_job` method so the code is actually useful.

    Wait, if I strictly follow "Write only the Python code, no explanations", I should keep it clean.

    One detail: "Each job has a unique job_id that is returned when added".
    If the user passes `job1`, I return `job1`.

    Let's refine the class:
    ```python
    from collections import deque
    from typing import Dict, Optional, Any

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

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

        def process_jobs(self):
            while self.queue:
                job_id, data = self.queue.popleft()
                # Simulate processing logic
                self.results[job_id] = {"status": "completed", "data": data}

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

    Actually, looking at the example again:
    `job_id = queue.add_job("job1", {"task": "process_data"})`
    `# After processing...`
    `result = queue.get_result("job1")`
    The `# After processing...` might mean the user is expected to call a method or that the class should handle it. Since the prompt doesn't specify a process method, I'll add `process_next_job` or `process_all_jobs`. `process_jobs` is better.

    Wait, should I check for uniqueness? Requirement 4 says "Each job has a unique job_id". If I don't check, and the user provides two "job1"s, it violates the requirement.

    Final check on requirements:
    1. `add_job`, `get_result`.
    2. FIFO.
    3. Store internally until processed.
    4. Unique `job_id`.

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

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

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

        def process_jobs(self) -> None:
            """Processes all jobs in the queue in FIFO order."""
            while self._queue:
                job_id, data = self._queue.popleft()
                # Simulate job processing logic
                self._results[job_id] = {"status": "completed", "result": data}

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

    Actually, if I include `process_jobs`, it works perfectly.

    Wait, one more thing. The prompt says "Write only the Python code".

    I will make sure the `job_id` is returned.

    One small adjustment: Requirement 4 says "Each job has a unique job_id that is returned when added".
    In the example, the user *provides* "job1".
    If the user provides it, and the code returns it, does it satisfy "Each job has a unique job_id"?
    If I allow the user to provide "job1" twice, it's not unique. So I must check for existence.

    Wait, maybe the requirement means the queue should *generate* a unique ID?
    "Each job has a unique job_id that is returned when added"
    Example: `job_id = queue.add_job("job1", ...)`
    In the example, the user *provides* the ID. If the ID was generated by the queue, the call would be `job_id = queue.add_job(data)`.
    Since the signature provided in the requirement is `add_job(job_id: str, data: dict)`, the user is providing the ID. My code will ensure it's unique.

    One detail: `dict | None` syntax is Python 3.10+. I'll use that.

    Actually, I'll simplify the `process_jobs` slightly to be very clear.

    Final Code Structure:
    ```python
    from collections import deque
    from typing import Dict, Optional, Any

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

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

        def process_jobs(self) -> None:
            while self._queue:
                job_id, data = self._queue.popleft()
                # Simulate processing
                self._results[job_id] = {"status": "success", "data": data}

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

    Wait, the user example doesn't show `process_jobs` being called.
    If I don't include `process_jobs`, the `get_result` will always return `None` in the example provided by the user.
    If I include it, the user's example "After processing..." makes sense.

    Is there any other way?
    Maybe `add_job` starts a thread? No, "basic job queue" usually implies a manual trigger or a simple loop.
    I'll stick with the `process_jobs` method.

    Actually, I'll rename it `process_next` and `process_all`? No, `process_jobs` is fine.

    One more check:
    "The queue should store jobs internally until they are processed"
    This means I need a storage for "pending" jobs. `self._queue` does this.
    "Jobs should be processed in FIFO order"
    `deque.popleft()` handles this.

    I'll use `dict | None` as requested in the prompt's type hint.
</reasoning_content>

<content>
```python
from collections import deque
from typing import Dict, Optional, Any

class JobQueue:
    def __init__(self):
        # Internal queue to store (job_id, data) tuples
        self._queue: deque[tuple[str, dict]]] = deque()
        # Dictionary to store completed results
        self._results: Dict[str, dict] = {}
        # Set to ensure job_id uniqueness
        self._existing_ids: set[str] = set()

    def add_job(self, job_id: str, data: dict) -> str:
        """
        Adds a job to the queue. 
        Ensures the job_id is unique.
        """
        if job_id in self._existing_ids:
            raise ValueError(f"Job ID '{job_id}' already exists in the queue.")
        
        self._existing_ids.add(job_id)
        self._queue.append((job_id, data))
        return job_id

    def process_jobs(self) -> None:
        """
        Processes all jobs currently in the queue in FIFO order.
        This method facilitates the 'processing' step required by the prompt.
        """
        while self._queue:
            job_id, data = self._queue.popleft()
            # Simulate processing logic: 
            # In a real scenario, this would call a worker function.
            self._results[job_id] = {
                "status": "completed",
                "processed_data": data
            }

    def get_result(self, job_id: str) -> dict | None:
        """
        Returns the result of a completed job, or None if not yet processed.
        """
        return self._results.get(job_id)

# Example usage:
if __name__ == "__main__":
    queue = JobQueue()
    job_id = queue.add_job("job1", {"task": "process_data"})
    
    # Simulate the processing step
    queue.process_jobs()
    
    result = queue.get_result("job1")
    print(result)
```
</content>