<reasoning_content>
*   Goal: Implement a basic job queue in Python.
    *   Class Name: `JobQueue`.
    *   Methods:
        *   `add_job(job_id: str, data: dict) -> str`
        *   `get_result(job_id: str) -> dict | None`
    *   Order: FIFO (First-In-First-Out).
    *   Storage: Internal storage until processed.
    *   ID: Unique `job_id` returned on addition.
    *   Note: The prompt mentions "After processing...". However, the prompt doesn't specify a background worker or an explicit `process_jobs` method, but the logic implies that jobs need to be stored and eventually return a result. Since the prompt doesn't specify a processing mechanism (like threads or an explicit runner), I need to decide how "processing" happens.
    *   *Re-reading requirements:* "The queue should store jobs internally until they are processed". This implies that there's a state change. If I don't provide a `process` method, `get_result` will always be `None`.
    *   *Wait, looking at the example:* `job_id = queue.add_job("job1", {"task": "process_data"})`. Then `result = queue.get_result("job1")`.
    *   To make this functional, I should probably include a method to "complete" a job or simulate processing, otherwise `get_result` is useless. However, the instructions only ask for those two specific methods.
    *   Let's look at common patterns for these types of coding tests. Usually, they want a data structure to hold the jobs. If I only implement the two requested methods, `get_result` will return `None` because nothing has been processed.
    *   Let's check if I should add a `complete_job` method? No, "Write only the Python code... [specific requirements]".
    *   Maybe I should simulate processing internally or just provide the storage logic?
    *   Actually, the standard way to implement a Job Queue in these prompts is to have a way to mark a job as finished. If I can't add a method, I'll stick strictly to the requirements but ensure the internal structure supports the FIFO property.
    *   Wait, if I can't "process" it, how does it get a result?
    *   I'll add a private/helper method or just assume the user might call a method I define to "finish" it, but I must follow the requirements strictly.
    *   Requirement 1 says "methods: [list of 2]". It doesn't say "only these methods".
    *   To make the example work, I need a way to process. I'll add a `complete_job` method to make the class actually usable for the example provided.

    *Revised Plan:*
    1.  `JobQueue` class.
    2.  `self.queue`: A `collections.deque` for FIFO order.
    3.  `self.results`: A dictionary to store results indexed by `job_id`.
    4.  `add_job(job_id, data)`:
        *   Check if ID exists.
        *   Append to deque.
        *   Return ID.
    5.  `get_result(job_id)`:
        *   Return from dictionary.
    6.  *Internal Processing Logic*: Since I need to be able to "complete" a job to satisfy the "After processing..." part of the example, I will add a `complete_job` method.

    *Wait*, let me re-read. "The queue should store jobs internally until they are processed".
    Maybe I should implement a `process_next_job` method?
    Actually, let's look at the provided example again:
    `job_id = queue.add_job("job1", {"task": "process_data"})`
    `# After processing...`
    `result = queue.get_result("job1")`
    
    This implies that the "processing" happens outside the class or via some mechanism not explicitly listed in the methods. However, to make the code runnable and valid, I'll add a `complete_job` method.

    Actually, I'll just implement the requested methods and a `complete_job` method so the example is actually valid.

    *Self-Correction:* The prompt asks for "a basic job queue". Usually, this implies a `process` logic.
    Let's use a dictionary for results and a deque for the queue.

    *Actually*, if I am strictly forbidden from adding extra methods, how does the data get into `results`?
    Maybe `add_job` should initialize the result as `None`?
    
    Let's stick to the prompt. If I only provide the two methods, the `get_result` will always be `None`. That's fine if that's what's asked. But to be helpful, I'll include a `complete_job` method because it's necessary for the logic of a queue.

    *Revised Plan 2 (Strict adherence):*
    Maybe the "processing" is meant to be manual? No, that's not how queues work.
    I will provide `add_job`, `get_result`, and I'll add `complete_job` because the example implies it.

    Actually, let's look at the prompt again.
    "Requirements: 1. Create a JobQueue class with the following methods: [list]"
    Usually, this is a strict list. If I add `complete_job`, I might fail a regex check or something.
    
    How can I make `get_result` work without a `complete_job`?
    Maybe `add_job` returns the result immediately? No, "until they are processed".
    
    Let's assume the user wants a standard implementation where I can mark a job as done.

    Wait, I can implement a `process_jobs` method that takes the next one from the queue and "processes" it (e.g., maps a function over it).
    
    Let's just provide the 2 requested methods and a simple internal dict. To make the "After processing" part work, I'll add a `complete_job` method as it's the only logical way to fulfill the "result" requirement.

    *Wait*, I'll check if I can satisfy the FIFO requirement.
    Queue: `collections.deque`.
    Results: `dict`.

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

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

        def add_job(self, job_id: str, data: dict) -> str:
            self.queue.append({"id": job_id, "data": data})
            self.results[job_id] = None
            return job_id

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

        def complete_job(self, job_id: str, result: dict):
            self.results[job_id] = result
    ```

    Actually, I'll just stick to the requested two and see if I can find a way to make sense of it.
    If I only provide the two, the code is technically correct according to the prompt instructions.

    One more thought: Maybe the "processing" is meant to be a method called `process_next`?
    No, I will provide the two requested methods and a `complete_job` method to make the example viable.

    Wait, I'll re-read: "Write only the Python code, no explanations."

    Let's look at the phrasing: "The queue should store jobs internally until they are processed".
    This implies a process method.
    I'll include `complete_job`.

    Actually, I'll just implement exactly what's asked. If `get_result` returns `None`, it's because it hasn't been processed yet.

    Wait, I'll add `complete_job` because otherwise the example provided in the prompt is impossible to execute successfully.

    Wait, I'll try to find a way to do it without adding methods. No, `complete_job` is necessary.

    Let's look at the types.
    `job_id: str`
    `data: dict`
    `dict | None` (This is Python 3.10+ syntax).

    ```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({"id": job_id, "data": data})
            self.results[job_id] = None
            return job_id

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

        def complete_job(self, job_id: str, result: dict):
            if job_id in self.results:
                self.results[job_id] = result
    ```
    Wait, I should probably check if `job_id` is unique?
    Requirement: "Each job has a unique job_id that is returned when added".
    This usually means the user provides the ID, and it's unique? Or the class generates it?
    Example: `job_id = queue.add_job("job1", ...)`
    The user provides "job1". So I don't need to generate it.

    Wait, FIFO. If I use a deque, I should probably have a `process_next_job` method to actually take it off the queue.

    I'll stick to the two requested methods + `complete_job`.

    Actually, many people asking this want a simple list/dict structure.

    Revised Plan 3 (Minimalist):
    Requirement 1: `add_job`, `get_result`.
    Requirement 2: FIFO.
    Requirement 3: Store until processed.
    Requirement 4: Unique ID.

    If I don't add `complete_job`, how do I "process" it?
    Maybe I'll add a `process_next_job` method which takes the first job from the queue and then the user can call `get_result`.
    But the example doesn't show a `process` call. It says `# After processing...`. This implies the processing happens elsewhere.
    If it happens elsewhere, how does the `JobQueue` know it's done?
    It must be told.
    So `complete_job` is mandatory for the logic to work.

    Let's refine the class.

    ```python
    from collections import deque

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

        def add_job(self, job_id: str, data: dict) -> str:
            self.queue.append({"id": job_id, "data": data})
            self.results[job_id] = None
            return job_id

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

        def complete_job(self, job_id: str, result: dict):
            self.results[job_id] = result
    ```
    Actually, I'll check the prompt again. "Write only the Python code".
    I'll provide exactly what is asked for. If the user wants to complete a job, they can't because there's no method, but I'll add `complete_job` just in case because the prompt says "until they are processed".

    Let's try to see if I can make `get_result` work without `complete_job`.
    No.

    Wait, I'll check the `job_id` uniqueness.
    "Each job has a unique job_id that is returned when added".
    This could mean the class *generates* the ID.
    Example: `job_id = queue.add_job("job1", ...)`
    Wait, the example shows the user providing "job1".
    So the user is responsible for uniqueness?
    Or the method signature `add_job(job_id: str, data: dict)` suggests the ID is passed in.

    Final structure:
    1. `deque` for FIFO.
    2. `dict` for results.
    3. `add_job` appends to deque and sets result to `None`.
    4. `get_result` returns result.
    5. `complete_job` (added for functionality).

    Actually, I will check if I should use a `threading` approach? No, "basic job queue".

    One more thing: `dict | None` requires Python 3.10. I should probably use `Optional[dict]` to be safe, but the prompt specifically uses the `|` syntax. I will use that.

    ```python
    from collections import deque

or
    from typing import Dict, Optional
    ```
    Actually, since the prompt uses `dict | None`, I will use that.

    Actually, to fulfill "FIFO order" and "store until processed", I should probably have a way to "pop" the next job to process it.

    Revised logic:
    - `add_job`: add to `self.queue` (deque) and `self.results`.
    - `get_result`: look up in `self.results`.
    - `complete_job`: update `self.results`.

    Wait, if the user provides the ID, I should check if it already exists.

    ```python
    from collections import deque

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

        def add_job(self, job_id: str, data: dict) -> str:
            if job_id in self.results:
                raise ValueError("Job ID already exists")
            self.queue.append({"id": job_id, "data": data})
            self.results[job_id] = None
            return job_id

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

        def complete_job(self, job_id: str, result: dict):
            if job_id in self.results:
                self.results[job_id] = result
    ```
    The prompt doesn't mention raising errors, so I'll keep it simple.
</reasoning_content>

<content>
```python
from collections import deque

class JobQueue:
    def __init__(self):
        # Stores the jobs in FIFO order
        self.queue = deque()
        # Stores the results of jobs, mapped by job_id
        self.results = {}

    def add_job(self, job_id: str, data: dict) -> str:
        """
        Adds a job to the queue and initializes its result as None.
        """
        self.queue.append({"id": job_id, "data": data})
        self.results[job_id] = None
        return job_id

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

    def complete_job(self, job_id: str, result: dict):
        """
        Updates the result for a specific job_id.
        """
        if job_id in self.results:
            self.results[job_id] = result
```
</content>