ucfopen__canvasapi-716

The user wants to fix a bug in the `obj_or_str` function in `canvasapi`.
The `obj_or_str` function is supposed to work similarly to `obj_or_id`, allowing either a string identifier or a Canvas object.
Currently, it seems to improperly reject strings.

I need to:
1. Locate `obj_or_str` and `obj_or_id`. They are likely in `canvasapi/util.py` given the workspace layout and the nature of these functions.
2. Understand how `obj_or_id` is implemented.
3. Understand how `obj_or_str` is implemented and why it's failing.
4. Fix `obj_or_str` to correctly handle strings.
5. Verify the fix with a reproduction script and existing tests.

Let's start by finding `obj_or_str` and `obj_or_id`.

{
  "command": "grep -rn --include=\"*.py\" \"def obj_or_id\" /workspace/canvasapi && grep -rn --include=\"*.py\" \"def obj_or_str\" /workspace/canvasapi"
}

{
  "status": "ok",
  "stdout": "/workspace/canvasapi/util.py:101:def obj_or_id(parameter, param_name, object_types):\n/workspace/canvasapi/util.py:136:def obj_or_str(obj, attr, object_types):\n",
  "stderr": "",
  "exit_code": 0
}

Both functions are in `/workspace/canvasapi/util.py`.

Let's read the implementation of both functions in `canvasapi/util.py`.

{
  "end_line": 160,
  "filepath": "canvasapi/util.py",
  "start_line": 100
}

{
  "status": "ok",
  "filepath": "canvasapi/util.py",
  "content": "\ndef obj_or_id(parameter, param_name, object_types):\n    \"\"\"\n    Accepts either an int (or long or str representation of an integer)\n    or an object. If it is an int, return it. If it is an object and\n    the object is of correct type, return the object's id. Otherwise,\n    throw an exception.\n\n    :param parameter: int, str, long, or object\n    :param param_name: str\n    :param object_types: tuple\n    :rtype: int\n    \"\"\"\n    from canvasapi.user import User\n\n    try:\n        return int(parameter)\n    except (ValueError, TypeError):\n        # Special case where 'self' is a valid ID of a User object\n        if User in object_types and parameter == \"self\":\n            return parameter\n\n        for obj_type in object_types:\n            if isinstance(parameter, obj_type):\n                try:\n                    return int(parameter.id)\n                except Exception:\n                    break\n\n        obj_type_list = \",\".join([obj_type.__name__ for obj_type in object_types])\n        message = \"Parameter {} must be of type {} or int.\".format(\n            param_name, obj_type_list\n        )\n        raise TypeError(message)\n\n\ndef obj_or_str(obj, attr, object_types):\n    \"\"\"\n    Accepts an object. If the object has the attribute, return the\n    corresponding string. Otherwise, throw an exception.\n\n    :param obj: object from which to retrieve attribute\n    :type obj: object\n    :param attr: name of the attribute to retrieve\n    :type attr: str\n    :param object_types: tuple containing the types of the object being passed in\n    :type object_types: tuple\n    :rtype: str\n    \"\"\"\n    try:\n        return str(getattr(obj, attr))\n    except (AttributeError, TypeError):\n        if not isinstance(attr, str):\n            raise TypeError(\n                \"Atttibute parameter {} must be of type string\".format(attr)\n            )\n        for obj_type in object_types:\n            if isinstance(obj, obj_type):\n                try:\n                    return str(getattr(obj, attr))\n                except AttributeError:",
  "start_line": 100,
  "end_line": 160,
  "total_lines": 244,
  "is_truncated": false
}

Wait, `read_file` output for `obj_or_str` seems truncated or incomplete at the end. Let me read more of `canvasapi/util.py`. Specifically, from line 136 onwards.

{
  "end_line": 170,
  "filepath": "canvasapi/util.py",
  "start_line": 136
}

{
  "status": "ok",
  "filepath": "canvasapi/util.py",
  "content": "def obj_or_str(obj, attr, object_types):\n    \"\"\"\n    Accepts an object. If the object has the attribute, return the\n    corresponding string. Otherwise, throw an exception.\n\n    :param obj: object from which to retrieve attribute\n    :type obj: object\n    :param attr: name of the attribute to retrieve\n    :type attr: str\n    :param object_types: tuple containing the types of the object being passed in\n    :type object_types: tuple\n    :rtype: str\n    \"\"\"\n    try:\n        return str(getattr(obj, attr))\n    except (AttributeError, TypeError):\n        if not isinstance(attr, str):\n            raise TypeError(\n                \"Atttibute parameter {} must be of type string\".format(attr)\n            )\n        for obj_type in object_types:\n            if isinstance(obj, obj_type):\n                try:\n                    return str(getattr(obj, attr))\n                except AttributeError:\n                    raise AttributeError(\"{} object does not have {} attribute\").format(\n                        obj, attr\n                    )\n\n        obj_type_list = \",\".join([obj_type.__name__ for obj_type in object_types])\n        raise TypeError(\"Parameter {} must be of type {}.\".format(obj, obj_type_list))\n\n\ndef get_institution_url(base_url):\n    \"\"\"",
  "start_line": 136,
  "end_line": 170,
  "total_lines": 244,
  "is_truncated": false
}

Let's analyze `obj_or_id` and `obj_or_str`.

`obj_or_id(parameter, param_name, object_types)`:
1. Tries `int(parameter)`. If it works, it returns it. This handles `int` and `str` (that can be cast to `int`).
2. If `int()` fails, it checks if `parameter == "self"` and `User` is in `object_types`.
3. It iterates through `object_types` and if `parameter` is an instance of one, it tries to return `int(parameter.id)`.
4. If all fail, it raises `TypeError`.

`obj_or_str(obj, attr, object_types)`:
1. Tries `str(getattr(obj, attr))`.
2. If that fails (`AttributeError` or `TypeError`), it does some checks.
3. It checks if `attr` is a `str`.
4. It iterates through `object_types` and if `obj` is an instance of one, it tries `str(getattr(obj, attr))` again.
5. If that fails, it raises `AttributeError` (wait, there's a bug in the `raise` statement: `raise AttributeError("...").format(obj, attr)` will format the string but not the Exception message, the `.format` is called on the Exception object if it's not parenthesized correctly, or rather it's called on the result of `AttributeError(...)` which doesn't have `.format`).
6. Finally, it raises `TypeError` if it's not an instance of any of the types.

The problem statement says: "it doesn't actually respect the user passing in a `str`".

If the user passes in a `str` for `obj`, and `obj_or_str` is supposed to allow it, it should probably just return that `str` if it's already a string.

Looking at `obj_or_id`, it starts with `try: return int(parameter)`.
For `obj_or_str`, it should probably start with `if isinstance(obj, str): return obj`.

Wait, if `obj` is a string, `getattr(obj, attr)` will try to get an attribute from the string object. For example, if `attr` is "id", `getattr("some_string", "id")` will raise `AttributeError`.

So if the user passes a string, it should just be returned.

Let's re-examine the `obj_or_str` implementation:

```python
def obj_or_str(obj, attr, object_types):
    # ... docstring ...
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        if not isinstance(attr, str):
            raise TypeError(
                "Atttibute parameter {} must be of type string".format(attr)
            )
        for obj_type in object_types:
            if isinstance(obj, obj_type):
                try:
                    return str(getattr(obj, attr))
                except AttributeError:
                    raise AttributeError("{} object does not have {} attribute").format(
                        obj, attr
                    )

        obj_type_list = ",".join([obj_type.__name__ for obj_type in object_types])
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```

If `obj` is a string, say `"my_feature_flag"`, then `getattr("my_feature_flag", attr)` will likely fail.
It will go to the `except` block.
It will check if `attr` is a `str` (which it should be).
Then it will check if `obj` is an instance of any `object_types`.
Since `obj` is a `str`, and `object_types` probably contains Canvas object types, it will fail.
Then it will raise `TypeError`.

So if `obj` is a `str`, it is rejected. This is exactly what the problem describes.

The fix should be: if `obj` is already a `str`, return it.

Let's see where `obj_or_str` is used to understand what `attr` is usually.
The problem statement mentions:
- `canvasapi.account.Account.get_feature_flag()`
- `canvasapi.course.Course.get_feature_flag()`
- `canvasapi.feature.FeatureFlag.delete()`
- `canvasapi.feature.FeatureFlag.set_feature_flag()`
- `canvasapi.user.User.get_feature_flag()`

Let's check `canvasapi/feature.py` and `canvasapi/account.py`.

{
  "command": "grep -rn \"obj_or_str\" /workspace/canvasapi"
}

{
  "status": "ok",
  "stdout": "/workspace/canvasapi/user.py:17:from canvasapi.util import combine_kwargs, obj_or_id, obj_or_str\n/workspace/canvasapi/user.py:515:        feature_name = obj_or_str(feature, \"name\", (Feature,))\n/workspace/canvasapi/account.py:24:from canvasapi.util import combine_kwargs, file_or_path, obj_or_id, obj_or_str\n/workspace/canvasapi/account.py:1103:        feature_name = obj_or_str(feature, \"name\", (Feature,))\n/workspace/canvasapi/util.py:136:def obj_or_str(obj, attr, object_types):\n/workspace/canvasapi/course.py:47:    obj_or_str,\n/workspace/canvasapi/course.py:1327:        feature_name = obj_or_str(feature, \"name\", (Feature,))\n/workspace/canvasapi/feature.py:2:from canvasapi.util import combine_kwargs, obj_or_str\n/workspace/canvasapi/feature.py:71:        feature_name = obj_or_str(feature, \"name\", (Feature,))\n/workspace/canvasapi/feature.py:103:        feature_name = obj_or_str(feature, \"name\", (Feature,))\n",
  "stderr": "",
  "exit_code": 0
}

In all these cases, `obj_or_str` is called as `obj_or_str(feature, "name", (Feature,))`.
So `attr` is `"name"`.
If `feature` is a `Feature` object, it returns `str(feature.name)`.
If `feature` is a string, it should just return that string.

Wait, if `feature` is a string, `getattr(feature, "name")` will fail because strings don't have a `name` attribute.

So the logic should be:
1. If `obj` is a `str`, return it.
2. Otherwise, try to get the attribute `attr` and return it as a `str`.
3. If that fails and it's one of the `object_types`, it should probably raise a more descriptive `AttributeError`.
4. If it's not one of the `object_types`, raise `TypeError`.

Actually, `obj_or_id` does:
```python
    try:
        return int(parameter)
    except (ValueError, TypeError):
        # ...
        for obj_type in object_types:
            if isinstance(parameter, obj_type):
                # ...
```

So `obj_or_str` should probably do:
```python
    if isinstance(obj, str):
        return obj
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        # ...
```

Let's check if `obj_or_id` handles `str` that can be converted to `int`. Yes, it does via `int(parameter)`.
For `obj_or_str`, the "id-like" thing is already a string.

Let's create a reproduction script to confirm.

{
  "command": "python3 - <<'PY'\nfrom canvasapi.util import obj_or_str\n\nclass Feature:\n    def __init__(self, name):\n        self.name = name\n\n# Case 1: Pass a Feature object\nf = Feature(\"some_feature\")\nprint(f\"Feature object: {obj_or_str(f, 'name', (Feature,))}\")\n\n# Case 2: Pass a string\ns = \"some_feature\"\ntry:\n    print(f\"String: {obj_or_str(s, 'name', (Feature,))}\")\nexcept Exception as e:\n    print(f\"String failed: {type(e).__name__}: {e}\")\nPY\n"
}

{
  "status": "ok",
  "stdout": "Feature object: some_feature\nString failed: TypeError: Parameter some_feature must be of type Feature.\n",
  "stderr": "",
  "exit_code": 0
}

Exactly. The string failed with a `TypeError`.

Now let's look at `obj_or_str` implementation again and see how to fix it.

```python
def obj_or_str(obj, attr, object_types):
    """
    Accepts an object. If the object has the attribute, return the
    corresponding string. Otherwise, throw an exception.

    :param obj: object from which to retrieve attribute
    :type obj: object
    :param attr: name of the attribute to retrieve
    :type attr: str
    :param object_types: tuple containing the types of the object being passed in
    :type object_types: tuple
    :rtype: str
    """
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        if not isinstance(attr, str):
            raise TypeError(
                "Atttibute parameter {} must be of type string".format(attr)
            )
        for obj_type in object_types:
            if isinstance(obj, obj_type):
                try:
                    return str(getattr(obj, attr))
                except AttributeError:
                    raise AttributeError("{} object does not have {} attribute").format(
                        obj, attr
                    )

        obj_type_list = ",".join([obj_type.__name__ for obj_type in object_types])
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```

Wait, look at this part:
```python
                except AttributeError:
                    raise AttributeError("{} object does not have {} attribute").format(
                        obj, attr
                    )
```
The `.format(obj, attr)` is called on the *raised* `AttributeError` instance, not on the string. This is a bug.
And also:
```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
There's a typo here: `".format` is inside the string literal if you look closely (the quote is before `.format`). Wait, let me look at the `read_file` output again.

```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, looking at the `read_file` output in the previous turn:
`raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))`
Wait, there's a `\"` at the end of the string?
Let me re-read the file carefully.

Actually, looking at the `read_file` output for `canvasapi/util.py:160` again:
```python
        obj_type_list = ",".join([obj_type.__name__ for obj_type in object_types])
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
No, my `read_file` might have had a typo in my analysis. Let me check the actual content again.

```python
        obj_type_list = ",".join([obj_type.__name__ for obj_type in object_types])
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, if I look at the `read_file` output:
`raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))`
Yes, there is a `\"` inside. Let me double check.

Actually, let me just re-read the lines 136 to 170.

{
  "end_line": 167,
  "filepath": "canvasapi/util.py",
  "start_line": 136
}

{
  "status": "ok",
  "filepath": "canvasapi/util.py",
  "content": "def obj_or_str(obj, attr, object_types):\n    \"\"\"\n    Accepts an object. If the object has the attribute, return the\n    corresponding string. Otherwise, throw an exception.\n\n    :param obj: object from which to retrieve attribute\n    :type obj: object\n    :param attr: name of the attribute to retrieve\n    :type attr: str\n    :param object_types: tuple containing the types of the object being passed in\n    :type object_types: tuple\n    :rtype: str\n    \"\"\"\n    try:\n        return str(getattr(obj, attr))\n    except (AttributeError, TypeError):\n        if not isinstance(attr, str):\n            raise TypeError(\n                \"Atttibute parameter {} must be of type string\".format(attr)\n            )\n        for obj_type in object_types:\n            if isinstance(obj, obj_type):\n                try:\n                    return str(getattr(obj, attr))\n                except AttributeError:\n                    raise AttributeError(\"{} object does not have {} attribute\").format(\n                        obj, attr\n                    )\n\n        obj_type_list = \",\".join([obj_type.__name__ for obj_type in object_types])\n        raise TypeError(\"Parameter {} must be of type {}.\".format(obj, obj_type_list))\n",
  "start_line": 136,
  "end_line": 167,
  "total_lines": 244,
  "is_truncated": false
}

Wait, the `read_file` output in this turn is different from what I thought I saw.

```python
                except AttributeError:
                    raise AttributeError("{} object does not have {} attribute").format(
                        obj, attr
                    )
```
And
```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```

Actually, looking at:
`raise AttributeError("{} object does not have {} attribute").format(obj, attr)`
This will definitely fail because `AttributeError(...)` is an instance of `AttributeError`, and it doesn't have a `.format()` method.

Wait, let me look at the output of `read_file` again.
`raise AttributeError("{} object does not have {} attribute").format(` - it's actually `raise AttributeError("...").format(...)`.

Yes, this is definitely a bug. `AttributeError("...").format(...)` is invalid. It should be `raise AttributeError("...".format(obj, attr))`.

And for `TypeError`:
`raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))`
Wait, the `\"` is at the end of the string.
Wait, no. Let me look at the raw output in my thought block.

```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, the double quote is `\"`. So it's `"Parameter {} must be of type {}.`. Then `\".format`.
This means the string is `"Parameter {} must be of type {}. \"`. Then `.format(...)`.
Wait, no. The double quote is just a double quote.
Let me look at the `read_file` output provided by the tool one more time.

```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, the tool output is:
`raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))`
The closing quote of the string is *after* the `.` of `.format`.
Wait: `"Parameter {} must be of type {}.\".format(obj, obj_type_list))`
No, the quote is `"Parameter {} must be of type {}.\".format(obj, obj_type_list))`.
This looks like a syntax error if the first quote is the start.
Wait, let me look at the `read_file` output carefully.

```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, the `\"` might be an escaped quote in the JSON representation of the output?
No, the tool output is:
`raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))`
Wait, I think it's `"Parameter {} must be of type {}. ".format(obj, obj_type_list)`.
Let me re-read the `read_file` output again.

```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Looking at it again: `"Parameter {} must be of type {}.\".format(obj, obj_type_list))`
Wait, the `\"` is just a quote.
If it is `"Parameter {} must be of type {}.\".format(obj, obj_type_list))` then the string is `Parameter {} must be of type {}.\".format(obj, obj_type_list)`.
Wait, this is confusing because of the JSON representation.

Let me just run a script to see if it crashes.

{
  "command": "python3 -c \"from canvasapi.util import obj_or_str; obj_or_str(123, 'name', (int,))\""
}

{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "Traceback (most recent call last):\n  File \"/workspace/canvasapi/util.py\", line 150, in obj_or_str\n    return str(getattr(obj, attr))\nAttributeError: 'int' object has no attribute 'name'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"/workspace/canvasapi/util.py\", line 159, in obj_or_str\n    return str(getattr(obj, attr))\nAttributeError: 'int' object has no attribute 'name'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"/workspace/canvasapi/util.py\", line 161, in obj_or_str\n    raise AttributeError(\"{} object does not have {} attribute\").format(\nAttributeError: 'AttributeError' object has no attribute 'format'\n",
  "details": {
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/workspace/canvasapi/util.py\", line 150, in obj_or_str\n    return str(getattr(obj, attr))\nAttributeError: 'int' object has no attribute 'name'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"/workspace/canvasapi/util.py\", line 159, in obj_or_str\n    return str(getattr(obj, attr))\nAttributeError: 'int' object has no attribute 'name'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"/workspace/canvasapi/util.py\", line 161, in obj_or_str\n    raise AttributeError(\"{} object does not have {} attribute\").format(\nAttributeError: 'AttributeError' object has no attribute 'format'\n",
    "exit_code": 1
  }
}

Bingo! `AttributeError: 'AttributeError' object has no attribute 'format'`.
So the code is indeed `raise AttributeError("...").format(...)`.

Let's check the `TypeError` as well.
Slightly different case: `obj` is not in `object_types`.
Slightly different case: `obj` is a string.

Reproduction for string:

{
  "command": "python3 - <<'PY'\nfrom canvasapi.util import obj_or_str\n\ntry:\n    obj_or_str(\"some_str\", \"name\", (int,))\nexcept Exception as e:\n    print(f\"{type(e).__name__}: {e}\")\nPY\n"
}

{
  "status": "ok",
  "stdout": "TypeError: Parameter some_str must be of type int.\n",
  "stderr": "",
  "exit_code": 0
}

So for the string, it currently raises `TypeError`. It should just return the string.

Also, the `AttributeError` and `TypeError` formatting is broken.

Wait, let me re-check the `TypeError` formatting.
The output was `TypeError: Parameter some_str must be of type int.`.
This means the `TypeError` formatting *did* work.
Wait, let me look at the code again.

```python
        obj_type_list = ",".join([obj_type.__name__ for obj_type in object_types])
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
If the output was `TypeError: Parameter some_str must be of type int.`, then the code must be:
`raise TypeError("Parameter {} must be of type {}. ".format(obj, obj_type_list))`
(Wait, I might have misread the quote in my previous analysis of the `read_file` output).

Let's look at the `read_file` output again very carefully.
```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, the quote is `\"`. Let me re-read the `read_file` response.

```json
"content": "...\n        obj_type_list = \",\".join([obj_type.__name__ for obj_type in object_types])\n        raise TypeError(\"Parameter {} must be of type {}.\".format(obj, obj_type_list))\n"
```
Wait! In the JSON, the quotes are escaped.
`\"Parameter {} must be of type {}.\".format(obj, obj_type_list)`
means the Python code is `"Parameter {} must be of type {}. ".format(obj, obj_type_list)`.
Ah, okay. So the `TypeError` is correct.

But the `AttributeError` is:
`raise AttributeError(\"{} object does not have {} attribute\").format(\n                        obj, attr\n                    )`
In Python, this is:
```python
raise AttributeError("{} object does not have {} attribute").format(
    obj, attr
)
```
Which I already proved is broken because `.format()` is called on the exception object.

So the fixes needed in `obj_or_str` are:
1. Add `if isinstance(obj, str): return obj` at the beginning.
2. Fix the `AttributeError` formatting: `raise AttributeError("{} object does not narrative {} attribute".format(obj, attr))`.

Wait, let's check how `obj_or_id` handles it.
`obj_or_id` doesn't have this `AttributeError` case because it just catches `Exception` and breaks.

```python
        for obj_type in object_types:
            if isinstance(parameter, obj_type):
                try:
                    return int(parameter.id)
                except Exception:
                    break
```

But `obj_or_str` is explicitly trying to be more helpful with `AttributeError`.

Let's implement the fix.

Revised `obj_or_str`:
```python
def obj_or_str(obj, attr, object_types):
    """
    Accepts an object. If the object has the attribute, return the
    corresponding string. Otherwise, throw an exception.

    :param obj: object from which to retrieve attribute
    :type obj: object
    :param attr: name of the attribute to retrieve
    :type attr: str
    :param object_types: tuple containing the types of the object being passed in
    :type object_types: tuple
    :rtype: str
    """
    if isinstance(obj, str):
        return obj
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        if not isinstance(attr, str):
            raise TypeError(
                "Atttibute parameter {} must be of type string".format(attr)
            )
        for obj_type in object_types:
            if isinstance(obj, obj_type):
                try:
                    return str(getattr(obj, attr))
                except AttributeError:
                    raise AttributeError("{} object does not have {} attribute".format(
                        obj, attr
                    ))

        obj_type_list = ",".join([obj_type.__name__ for obj_type in object_types])
        raise TypeError("Parameter {} must be of type {}. ".format(obj, obj_type_list))
```
Wait, I should keep the error messages exactly as they were if possible, just fixing the bug.

Original `AttributeError` was:
`raise AttributeError("{} object does not have {} attribute").format(obj, attr)`
Corrected:
`raise AttributeError("{} object does not have {} attribute".format(obj, attr))`

Original `TypeError` (from `read_file` JSON):
`raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))`
Actually, let's look at the `read_file` output again.
`raise TypeError(\"Parameter {} must be of type {}.\".format(obj, obj_type_list))`
Wait, the JSON is:
`"raise TypeError(\"Parameter {} must be of type {}.\".format(obj, obj_type_list))"`
This means the Python code is:
`raise TypeError("Parameter {} must be of type {}. ".format(obj, obj_type_list))`
Wait, no. Let me look at it again.
`... type {}.\".format ...`
There is no space before the quote.
`"Parameter {} must be of type {}. ".format` -> if it was this, then the JSON would be `\"Parameter {} must be of type {}. \".format`.
But it is `\"Parameter {} must be of type {}.\".format`.
This means the string is `"Parameter {} must be of type {}. ".format`.
No, the quote is `\"`. Then it's `.format`.
So it's `"Parameter {} must be of type {}.".format(obj, obj_type_list)`.
No space.

Let me just use the exact lines from `read_file` and only change what's necessary.

Original:
```python
        for obj_type in object_types:
            if isinstance(obj, obj_type):
                try:
                    return str(getattr(obj, attr))
                except AttributeError:
                    raise AttributeError("{} object does not have {} attribute").format(
                        obj, attr
                    )
```

Fixed:
```python
        for obj_type in object_types:
            if isinstance(obj, obj_type):
                try:
                    return str(getattr(obj, attr))
                except AttributeError:
                    raise AttributeError("{} object does not have {} attribute".format(
                        obj, attr
                    ))
```

And add the string check at the beginning.

Let's double check if any other changes are needed.
The problem statement said: "Update `obj_or_str` to be more in line with `obj_or_id`."

`obj_or_id` handles `int`, `str` (that can be `int`), and objects.
`obj_or_str` should handle `str` and objects.

If `obj` is a string, `obj_or_str` should return it.
If `obj` is an object, it should try to get the attribute and return its string representation.
If it's not a string and doesn't have the attribute, and is one of the expected types, it should raise `AttributeError`.
If it's not a string and not one of the expected types, it should raise `TypeError`.

This is exactly what my proposed change does.

Wait, there is one more thing.
In `obj_or_id`:
```python
    try:
        return int(parameter)
    except (ValueError, TypeError):
        # Special case where 'self' is a valid ID of a User object
        if User in object_types and parameter == "self":
            return parameter
```
Should `obj_or_str` have any special cases? The problem statement doesn't mention any.

Let's look at where `obj_or_str` is used again.
`feature_name = obj_or_str(feature, "name", (Feature,))`
If `feature` is a `Feature` object, `feature.name` is returned.
If `feature` is a string, the string itself is returned.
This makes sense for a feature name.

Wait, what if `feature` is something else, like an `int`?
`obj_or_str(123, "name", (Feature,))`
- `isinstance(123, str)` is False.
- `getattr(123, "name")` raises `AttributeError`.
- `attr` ("name") is a `str`.
- `isinstance(123, Feature)` is False.
- `},{obj_type_list}` is `"Feature"`.
- raises `TypeError("Parameter 123 must be of type Feature.")`.
This seems correct.

One more detail:
In `obj_or_str`:
```python
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
```
Is the `TypeError` needed here? `getattr` can raise `TypeError` if the first argument is not an object (but everything is an object in Python) or the second argument is not a string.
If `attr` is not a string, `getattr(obj, attr)` will raise `TypeError`.
Then the code checks:
```python
        if not isinstance(attr, str):
            raise TypeError(
                "Atttibute parameter {} must be of type string".format(attr)
            )
```
This is correct. (Wait, there is a typo in "Atttibute"). I'll leave it as is to avoid unnecessary changes unless it's part of the "more in line with `obj_or_id`" request. But the request is about `obj_or_str` rejecting strings.

Let's prepare the `edit_file` call.

I will:
1. Add `if isinstance(obj, str): return obj` at the beginning of `obj_or_str`.
2. Fix the `AttributeError` raise.

Let's check the line numbers carefully.

```python
def obj_or_str(obj, attr, object_types):
    """
    Accepts an object. If the object has the attribute, return the
    corresponding string. Otherwise, throw an exception.

    :param obj: object from which to retrieve attribute
    :type obj: object
    :param attr: name of the attribute to retrieve
    :type attr: str
    :param object_types: tuple containing the types of the object being passed in
    :type object_types: tuple
    :rtype: str
    """
    try:
        return str(getattr(obj, attr))
```

I'll insert `if isinstance(obj, str): return obj` before `try:`.

And then the `AttributeError` part:
```python
                try:
                    return str(getattr(obj, attr))
                except AttributeError:
                    raise AttributeError("{} object does not have {} attribute").format(
                        obj, attr
                    )
```

Wait, look at the indentation.

```python
        for obj_type in object_types:
            if isinstance(obj, obj_type):
                try:
                    return str(getattr(obj, attr))
                except AttributeError:
                    raise AttributeError("{} object does not have {} attribute").format(
                        obj, attr
                    )
```

I will replace this block.

Wait, I should check if I can do it in one `edit_file` if they are close enough.
`obj_or_str` starts at 136.
The `try` is at 150.
The `AttributeError` is at 161.
They are about 11 lines apart. I can maybe do it in one or two.

Let's do it in two to be safe.

First, the string check.

{
  "filepath": "canvasapi/util.py",
  "new_string": "    if isinstance(obj, str):\n        return obj\n    try:\n        return str(getattr(obj, attr))",
  "old_string": "    try:\n        return str(getattr(obj, attr))"
}

{
  "status": "ok",
  "filepath": "canvasapi/util.py",
  "occurrences": 1,
  "strategy": "exact",
  "diff": "--- a/canvasapi/util.py\n+++ b/canvasapi/util.py\n@@ -146,6 +146,8 @@\n     :type object_types: tuple\n     :rtype: str\n     \"\"\"\n+    if isinstance(obj, str):\n+        return obj\n     try:\n         return str(getattr(obj, attr))\n     except (AttributeError, TypeError):\n",
  "is_truncated": false
}

Now the `AttributeError` fix.

{
  "filepath": "canvasapi/util.py",
  "new_string": "                except AttributeError:\n                    raise AttributeError(\"{} object does not have {} attribute\".format(\n                        obj, attr\n                    ))",
  "old_string": "                except AttributeError:\n                    raise AttributeError(\"{} object does not have {} attribute\").format(\n                        obj, attr\n                    )"
}

{
  "status": "ok",
  "filepath": "canvasapi/util.py",
  "occurrences": 1,
  "strategy": "exact",
  "diff": "--- a/canvasapi/util.py\n+++ b/canvasapi/util.py\n@@ -160,9 +160,9 @@\n                 try:\n                     return str(getattr(obj, attr))\n                 except AttributeError:\n-                    raise AttributeError(\"{} object does not have {} attribute\").format(\n+                    raise AttributeError(\"{} object does not have {} attribute\".format(\n                         obj, attr\n-                    )\n+                    ))\n \n         obj_type_list = \",\".join([obj_type.__name__ for obj_type in object_types])\n         raise TypeError(\"Parameter {} must be of type {}.\".format(obj, obj_type_list))\n",
  "is_truncated": false
}

Now let's verify the fix with a reproduction script that covers all cases.

{
  "command": "python3 - <<'PY'\nfrom canvasapi.util import obj_or_str\n\nclass Feature:\n    def __init__(self, name):\n        self.name = name\n\n# Case 1: Pass a Feature object\nf = Feature(\"some_feature\")\nprint(f\"Case 1 (Object): {obj_or_str(f, 'name', (Feature,))} - Expected: some_feature\")\n\n# Case 2: Pass a string\ns = \"some_feature\"\nprint(f\"Case 2 (String): {obj_or_str(s, 'name', (Feature,))} - Expected: some_feature\")\n\n# Case 3: Pass an object of wrong type (should raise TypeError)\ntry:\n    obj_or_str(123, 'name', (Feature,))\nexcept TypeError as e:\n    print(f\"Case 3 (Wrong Type): {e} - Expected: TypeError\")\nexcept Exception as e:\n    print(f\"Case 3 (Wrong Type) FAILED: {type(e).__name__}: {e}\")\n\n# Case 4: Pass an object of right type but missing attribute (should raise AttributeError)\nclass BadFeature:\n    pass\nbf = BadFeature()\ntry:\n    obj_or_str(bf, 'name', (BadFeature,))\nexcept AttributeError as e:\n    print(f\"Case 4 (Missing Attr): {e} - Expected: AttributeError\")\nexcept Exception as e:\n    print(f\"Case 4 (Missing Attr) FAILED: {type(e).__name__}: {e}\")\n\n# Case 5: Pass invalid attr (should raise TypeError)\ntry:\n    obj_or_str(f, 123, (Feature,))\nexcept TypeError as e:\n    print(f\"Case 5 (Invalid Attr): {e} - Expected: TypeError\")\nexcept Exception as e:\n    print(f\"Case 5 (Invalid Attr) FAILED: {type(e).__name__}: {e}\")\nPY\n"
}

{
  "status": "ok",
  "stdout": "Case 1 (Object): some_feature - Expected: some_feature\nCase 2 (String): some_feature - Expected: some_feature\nCase 3 (Wrong Type): Parameter 123 must be of type Feature. - Expected: TypeError\nCase 4 (Missing Attr): <__main__.BadFeature object at 0x7d96c836fa90> object does not have name attribute - Expected: AttributeError\nCase 5 (Invalid Attr): Atttibute parameter 123 must be of type string - Expected: TypeError\n",
  "stderr": "",
  "exit_code": 0
}

All cases passed!

Wait, I should also run the existing tests to make sure I didn't break anything.
Let's see if there are any tests for `obj_or_str`.
I'll grep for `obj_or_str` in `tests/`.

{
  "command": "grep -rn \"obj_or_str\" tests/"
}

{
  "status": "ok",
  "stdout": "tests/test_util.py:18:    obj_or_str,\ntests/test_util.py:433:    # obj_or_str()\ntests/test_util.py:434:    def test_obj_or_str_obj_attr(self, m):\ntests/test_util.py:439:        user_name = obj_or_str(user, \"name\", (User,))\ntests/test_util.py:444:    def test_obj_or_str_obj_no_attr(self, m):\ntests/test_util.py:450:            obj_or_str(user, \"display_name\", (User,))\ntests/test_util.py:452:    def test_obj_or_str_mult_obj(self, m):\ntests/test_util.py:457:        user_name = obj_or_str(user, \"name\", (CourseNickname, User))\ntests/test_util.py:461:    def test_obj_or_str_invalid_attr_parameter(self, m):\ntests/test_util.py:467:            obj_or_str(user, user, (User,))\ntests/test_util.py:469:    def test_obj_or_str_invalid_obj_type(self, m):\ntests/test_util.py:471:            obj_or_str(\"user\", \"name\", (User,))\n",
  "stderr": "",
  "exit_code": 0
}

Okay, let's look at `tests/test_util.py`.
Actually, I can just run `pytest tests/test_util.py`.
Wait, the `test_obj_or_str_invalid_obj_type` probably tests exactly what we just fixed!
Let's see what it does.

{
  "end_line": 475,
  "filepath": "tests/test_util.py",
  "start_line": 430
}

{
  "status": "ok",
  "filepath": "tests/test_util.py",
  "content": "        with self.assertRaises(TypeError):\n            obj_or_id(\"self\", \"user_id\", (CourseNickname,))\n\n    # obj_or_str()\n    def test_obj_or_str_obj_attr(self, m):\n        register_uris({\"user\": [\"get_by_id\"]}, m)\n\n        user = self.canvas.get_user(1)\n\n        user_name = obj_or_str(user, \"name\", (User,))\n\n        self.assertIsInstance(user_name, str)\n        self.assertEqual(user_name, \"John Doe\")\n\n    def test_obj_or_str_obj_no_attr(self, m):\n        register_uris({\"user\": [\"get_by_id\"]}, m)\n\n        user = self.canvas.get_user(1)\n\n        with self.assertRaises(AttributeError):\n            obj_or_str(user, \"display_name\", (User,))\n\n    def test_obj_or_str_mult_obj(self, m):\n        register_uris({\"user\": [\"get_by_id\"]}, m)\n\n        user = self.canvas.get_user(1)\n\n        user_name = obj_or_str(user, \"name\", (CourseNickname, User))\n\n        self.assertIsInstance(user_name, str)\n\n    def test_obj_or_str_invalid_attr_parameter(self, m):\n        register_uris({\"user\": [\"get_by_id\"]}, m)\n\n        user = self.canvas.get_user(1)\n\n        with self.assertRaises(TypeError):\n            obj_or_str(user, user, (User,))\n\n    def test_obj_or_str_invalid_obj_type(self, m):\n        with self.assertRaises(TypeError):\n            obj_or_str(\"user\", \"name\", (User,))\n\n    # get_institution_url()\n    def test_get_institution_url(self, m):\n        correct_url = \"https://my.canvas.edu\"",
  "start_line": 430,
  "end_line": 475,
  "total_lines": 574,
  "is_truncated": false
}