ucfopen__canvasapi-716

The user wants to fix a bug in the `obj_or_str` utility function in the `canvasapi` library.
The `obj_or_str` function is supposed to work similarly to `obj_or_id`.
`obj_or_id` allows passing either an ID (int) or an object, and it returns the ID.
`obj_or_str` should allow passing either a string identifier or an object, and it should return the string identifier.

Currently, `obj_or_str` improperly rejects strings.

The problem description points to several functions that use `obj_or_str`:
- `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()`

First, I need to find where `obj_or_id` and `obj_or_str` are defined. They are likely in `canvasapi/util.py` or `canvasapi/canvas_object.py` based on the project structure.

Let's start by searching for these functions.

{
  "command": "grep -rn --include=\"*.py\" -e \"def obj_or_id\" -e \"def obj_or_str\" ."
}

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

Okay, both functions are defined in `canvasapi/util.py`.

Now let's read the implementation of both `obj_or_id` and `obj_or_str` in `canvasapi/util.py`.

{
  "end_line": 150,
  "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))",
  "start_line": 100,
  "end_line": 150,
  "total_lines": 244,
  "is_truncated": false
}

I need to see the rest of `obj_or_str` as it was truncated.

{
  "end_line": 150,
  "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))",
  "start_line": 136,
  "end_line": 150,
  "total_lines": 244,
  "is_truncated": false
}

Wait, `read_file` is not showing me the full function because I specified `end_line: 150` and it seems to end there? No, the file has 244 lines. Let me read from line 136 to line 160.

{
  "end_line": 160,
  "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:",
  "start_line": 136,
  "end_line": 160,
  "total_lines": 244,
  "is_truncated": false
}

And a bit more.

{
  "end_line": 170,
  "filepath": "canvasapi/util.py",
  "start_line": 160
}

{
  "status": "ok",
  "filepath": "canvasapi/util.py",
  "content": "                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": 160,
  "end_line": 170,
  "total_lines": 244,
  "is_truncated": false
}

Let's analyze `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
    """
    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))
```

Compare this with `obj_or_id`:

```python
def obj_or_id(parameter, param_name, object_types):
    """
    Accepts either an int (or long or str representation of an integer)
    or an object. If it is an int, return it. If it is an object and
    the object is of correct type, return the object's id. Otherwise,
    throw an exception.

    :param parameter: int, str, long, or object
    :param param_name: str
    :param object_types: tuple
    :rtype: int
    """
    from canvasapi.user import User

    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

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

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

The issue is that `obj_or_str` ONLY attempts to call `getattr(obj, attr)`. It never checks if `obj` is actually already a string.

If a user passes a string as `obj`, `getattr(obj, attr)` will try to find the attribute `attr` on a string object, which will fail (AttributeError) unless the attribute happens to be a string method.

It should be:
1. If `obj` is already a string, return it.
2. If `obj` is one of the `object_types`, get the attribute `attr` and return it as a string.
3. Otherwise, raise `TypeError`.

Actually, `obj_or_id` does:
1. Try `int(parameter)`. If it works, return it.
2. Special case for "self".
3. Check `isinstance(parameter, obj_type)`. If it works, return `int(parameter.id)`.
4. Raise `TypeError`.

So `obj_or_str` should probably do:
1. Try to return `obj` if it's already a string. (Or perhaps just check `isinstance(obj, str)`).
2. If not, check if it's one of the `object_types`, and if so, return `str(getattr(obj, attr))`.
3. Otherwise, raise `TypeError`.

Wait, look at the `obj_or_str` current implementation:
```python
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        # ...
```
If `obj` is a string, `getattr(obj, attr)` will almost certainly fail unless `attr` is something like `upper`.

Let's see how `obj_or_str` is called in the mentioned functions.
- `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 examine `canvasapi/feature.py` first since `FeatureFlag` is likely there.

{
  "filepath": "canvasapi/feature.py"
}

{
  "status": "ok",
  "filepath": "canvasapi/feature.py",
  "content": "from canvasapi.canvas_object import CanvasObject\nfrom canvasapi.util import combine_kwargs, obj_or_str\n\n\nclass Feature(CanvasObject):\n    def __str__(self):\n        return \"{} {}\".format(self.display_name, self.applies_to)\n\n    @property\n    def _parent_id(self):\n        \"\"\"\n        Return the id of the account, course or user that spawned this feature\n\n        :rtype: int\n        \"\"\"\n        if hasattr(self, \"account_id\"):\n            return self.account_id\n        elif hasattr(self, \"course_id\"):\n            return self.course_id\n        elif hasattr(self, \"user_id\"):\n            return self.user_id\n        else:\n            raise ValueError(\n                \"Feature Flag does not have account_id, course_id or user_id\"\n            )\n\n    @property\n    def _parent_type(self):\n        \"\"\"\n        Return whether the feature with the feature was spawned from an account,\n        a course or a user.\n\n        :rtype: str\n        \"\"\"\n        if hasattr(self, \"account_id\"):\n            return \"account\"\n        elif hasattr(self, \"course_id\"):\n            return \"course\"\n        elif hasattr(self, \"user_id\"):\n            return \"user\"\n        else:\n            raise ValueError(\n                \"Feature Flag does not have account_id, course_id or user_id\"\n            )\n\n\nclass FeatureFlag(CanvasObject):\n    def __str__(self):\n        return \"{} {} {} {}\".format(\n            self.context_type, self.context_id, self.feature, self.state\n        )\n\n    def delete(self, feature, **kwargs):\n        \"\"\"\n        Remove a feature flag for a given account, course or user.\n\n        :calls: `DELETE /api/v1/courses/:course_id/features/flags/:feature \\\n            <https://canvas.instructure.com/doc/api/\n            feature_flags.html#method.feature_flags.delete>`_\n\n            or `DELETE /api/v1/accounts/:account_id/features/flags/:feature \\\n            <https://canvas.instructure.com/doc/api/\n            feature_flags.html#method.feature_flags.delete>`_\n\n            or `DELETE /api/v1/users/:user_id/features/flags/:feature \\\n            <https://canvas.instructure.com/doc/api/\n            feature_flags.html#method.feature_flags.delete>`_\n\n        :rtype: :class:`canvasapi.feature.FeatureFlag`\n        \"\"\"\n        feature_name = obj_or_str(feature, \"name\", (Feature,))\n\n        response = self._requester.request(\n            \"DELETE\",\n            \"{}s/{}/features/flags/{}\".format(\n                feature._parent_type, feature._parent_id, feature_name\n            ),\n            _kwargs=combine_kwargs(**kwargs),\n        )\n        return FeatureFlag(self._requester, response.json())\n\n    def set_feature_flag(self, feature, **kwargs):\n        \"\"\"\n        Set a feature flag for a given account, course or user.\n\n        :calls: `PUT /api/v1/courses/:course_id/features/flags/:feature \\\n            <https://canvas.instructure.com/doc/api/\n            feature_flags.html#method.feature_flags.update>`_\n\n            or `PUT /api/v1/accounts/:account_id/features/flags/:feature \\\n            <https://canvas.instructure.com/doc/api/\n            feature_flags.html#method.feature_flags.update>`_\n\n            or `PUT /api/v1/users/:user_id/features/flags/:feature \\\n            <https://canvas.instructure.com/doc/api/\n            feature_flags.html#method.feature_flags.update>`_\n\n        :param feature: The feature object to set\n        :type feature: :class:`canvasapi.feature.Feature`\n\n        :rtype: :class:`canvasapi.feature.FeatureFlag`\n        \"\"\"\n        feature_name = obj_or_str(feature, \"name\", (Feature,))\n\n        response = self._requester.request(\n            \"PUT\",\n            \"{}s/{}/features/flags/{}\".format(\n                feature._parent_type, feature._parent_id, feature_name\n            ),\n            _kwargs=combine_kwargs(**kwargs),\n        )\n        return FeatureFlag(self._requester, response.json())",
  "start_line": 1,
  "end_line": 112,
  "total_lines": 112,
  "is_truncated": false
}

In `FeatureFlag.delete`:
```python
        feature_name = obj_or_str(feature, "name", (Feature,))
```
And `FeatureFlag.set_feature_flag`:
```python
        feature_name = obj_or_str(feature, "name", (Feature,))
```

Wait, there's a bug in `FeatureFlag.delete` and `set_feature_flag` as well:
```python
        response = self._requester.request(
            "DELETE",
            "{}s/{}/features/flags/{}".format(
                feature._parent_type, feature._parent_id, feature_name
            ),
            _kwargs=combine_kwargs(**kwargs),
        )
```
If `feature` was passed as a string, `feature._parent_type` and `feature._parent_id` will fail because `feature` is a string. But that's separate from the `obj_or_str` bug, although related to how it's used.

Wait, let's look closer at `FeatureFlag.delete`:
```python
    def delete(self, feature, **kwargs):
        # ...
        feature_name = obj_or_str(feature, "name", (Feature,))

        response = self._requester.request(
            "DELETE",
            "{}s/{}/features/flags/{}".format(
                feature._parent_type, feature._parent_id, feature_name
            ),
            # ...
```

If `feature` is passed as a string, `feature_name` will be that string (once we fix `obj_or_str`). But `feature._parent_type` will still fail.
However, `FeatureFlag` itself is a `CanvasObject` and it has `context_type` and `context_id` (as seen in `__str__`):
```python
    def __str__(self):
        return "{} {} {} {}".format(
            self.context_type, self.context_id, self.feature, self.state
        )
```
It's likely that `FeatureFlag.delete` should use `self.context_type` and `self.context_id` instead of `feature._parent_type` and `feature._parent_id`.

But the task is specifically about `obj_or_str`.

Let's reproduce the bug in `obj_or_str`.

{
  "command": "python3 - <<'PY'\nfrom canvasapi.util import obj_or_str\n\nclass MockFeature:\n    def __init__(self, name):\n        self.name = name\n\nfeature_obj = MockFeature(\"my_feature\")\nfeature_str = \"my_feature\"\n\nprint(f\"Testing with object: {obj_or_str(feature_obj, 'name', (MockFeature,))}\")\ntry:\n    print(f\"Testing with string: {obj_or_str(feature_str, 'name', (MockFeature,))}\")\nexcept Exception as e:\n    print(f\"Testing with string failed: {e}\")\nPY\n"
}

{
  "status": "ok",
  "stdout": "Testing with object: my_feature\nTesting with string failed: Parameter my_feature must be of type MockFeature.\n",
  "stderr": "",
  "exit_code": 0
}

Exactly. It fails when passing a string.

Now let's look at `obj_or_id` again to see how it's implemented.
```python
def obj_or_id(parameter, param_name, object_types):
    # ...
    try:
        return int(parameter)
    except (ValueError, TypeError):
        # ...
```
It tried to convert the parameter directly to the expected type first.

For `obj_or_str`, if the parameter is already a string, it should just return it.

Let's refine `obj_or_str`.

```python
def obj_or_str(obj, attr, object_types):
    if isinstance(obj, str):
        return obj
    # ... the rest
```

Wait, the current implementation is:
```python
def obj_or_str(obj, attr, object_types):
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        # ...
```

If I change it to:
```python
def obj_or_str(obj, attr, object_types):
    if isinstance(obj, str):
        return obj
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        # ...
```
This would work for strings.

But let's see if there are other things `obj_or_str` should handle.
The current implementation has this:
```python
    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, the `try...except` at the beginning already tries `getattr(obj, attr)`. If `obj` is one of the `object_types`, it will likely succeed there.
The `for obj_type in object_types` block seems redundant if `getattr(obj, attr)` already worked. It's only reached if `getattr(obj, attr)` failed.

If `obj` is an instance of `obj_type` but does NOT have the attribute `attr`, the first `getattr(obj, attr)` fails, and the `for` loop will find it's an instance of `obj_type` and raise a more specific `AttributeError`.

So if `obj` is a string, `getattr(obj, attr)` fails -> `except` block -> not `isinstance(attr, str)` check -> `for` loop (it's not an instance of `Feature` etc.) -> `TypeError`.

If we add `if isinstance(obj, str): return obj` at the top, it will be fixed.

Wait, if `obj` is NOT a string and NOT one of the `object_types`, the current code:
1. Tries `getattr(obj, attr)`. If it's a random object that HAPPENS to have that attribute, it returns it as a string.
2. If it doesn't have it, it checks if it's one of the `object_types`.

Is this intended? `obj_or_id` is stricter: it first tries `int(parameter)`, then checks `isinstance(parameter, obj_type)`.

If `obj_or_str` is meant to be like `obj_or_id`, it should probably:
1. Check if `obj` is a string. If so, return it.
2. Check if `obj` is one of the `object_types`. If so, get the attribute and return it as a string.
3. Otherwise, raise `TypeError`.

Let's check if `getattr(obj, attr)` is supposed to work for ANY object that has that attribute.
The docstring says:
```python
    """
    Accepts an object. If the object has the attribute, return the
    corresponding string. Otherwise, throw an exception.
    """
```
It doesn't explicitly say it must be one of the `object_types` *unless* it doesn't have the attribute. But the `object_types` parameter is there for a reason.

In `obj_or_id`:
```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 be:
```python
def obj_or_str(obj, attr, object_types):
    if isinstance(obj, str):
        return obj
    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 {} or str.".format(obj, obj_type_list))
```

Wait, let's look at the original `obj_or_str` again.
```python
def obj_or_str(obj, attr, object_types):
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        # ... (checks if attr is str, then checks object_types)
```

If `obj` is a `Feature` object and has the attribute `name`, the first `try` block will return it.
If `obj` is some other object that also has the attribute `name`, the first `try` block will also return it! This is more permissive than `obj_or_id`.

But `obj_or_id` is:
```python
    try:
        return int(parameter)
    except (ValueError, TypeError):
        # ...
```
If `parameter` is something that `int()` can convert (like a float or a string of digits), it returns it. This is also permissive.

So `obj_or_str`'s current permissive behavior (allowing anything with the attribute) is consistent with `obj_or_id` allowing anything that can be converted to `int`.

However, for `obj_or_str`, the "direct conversion" equivalent would be `isinstance(obj, str)`.

So the fix should be:
1. If `isinstance(obj, str)`, return `obj`.
2. Else, try `getattr(obj, attr)`.
3. If that fails, check `object_types` to provide a better error message.

Wait, if `obj` is a string, `getattr(obj, attr)` will probably fail anyway.

Let's see what happens if we just add `if isinstance(obj, str): return obj` at the beginning.

```python
def obj_or_str(obj, attr, object_types):
    if isinstance(obj, str):
        return obj
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        # ...
```

This seems correct and minimal.

Let's double check the existing `obj_or_str` implementation for any other bugs.
```python
    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
                    )
```
Wait! Look at this line:
```python
                    raise AttributeError("{} object does not have {} attribute").format(
                        obj, attr
                    )
```
`AttributeError("{} object does not have {} attribute")` creates an exception object, and then `.format()` is called on that exception object! That's a bug. It should be `AttributeError("...".format(obj, attr))`.

And another one:
```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
There's a quote mismatch: `".format`. It should be `"...".format`.

Let's verify these bugs.

{
  "command": "python3 - <<'PY'\nfrom canvasapi.util import obj_or_str\n\nclass MockFeature:\n    def __init__(self, name):\n        self.name = name\n\nfeature_obj = MockFeature(\"my_feature\")\n\ntry:\n    # This should fail and trigger the AttributeError in the for loop\n    # because MockFeature DOES have 'name', but if we call it with a wrong attr\n    obj_or_str(feature_obj, 'wrong_attr', (MockFeature,))\nexcept Exception as e:\n    print(f\"Caught exception: {type(e)} {e}\")\nPY\n"
}

{
  "status": "ok",
  "stdout": "Caught exception: <class 'AttributeError'> 'AttributeError' object has no attribute 'format'\n",
  "stderr": "",
  "exit_code": 0
}

Yes, bug confirmed: `'AttributeError' object has no attribute 'format'`.

And for the `TypeError`:

{
  "command": "python3 - <<'PY'\nfrom canvasapi.util import obj_or_str\n\ntry:\n    # This should fail and trigger the TypeError at the end\n    obj_or_str(123, 'name', (object,))\nexcept Exception as e:\n    print(f\"Caught exception: {type(e)} {e}\")\nPY\n"
}

{
  "status": "ok",
  "stdout": "Caught exception: <class 'AttributeError'> 'AttributeError' object has no attribute 'format'\n",
  "stderr": "",
  "exit_code": 0
}

Wait, `obj_or_str(123, 'name', (object,))` caught an `AttributeError`?
Ah, because `123` is an instance of `object`, so it enters the `for obj_type in object_types` loop. Then it tries `getattr(123, 'name')`, which fails with `AttributeError`. Then it hits the bugged `raise AttributeError(...).format(...)`.

If I pass something that is NOT an instance of `object` (though everything is) or an empty `object_types` tuple:

{
  "command": "python3 - <<'PY'\nfrom canvasapi.util import obj_or_str\n\ntry:\n    obj_or_str(123, 'name', ())\nexcept Exception as e:\n    print(f\"Caught exception: {type(e)} {e}\")\nPY\n"
}

{
  "status": "ok",
  "stdout": "Caught exception: <class 'TypeError'> Parameter 123 must be of type .\n",
  "stderr": "",
  "exit_code": 0
}

Okay, so the `TypeError` actually works (the quote mismatch I thought I saw was maybe not a match mismatch in the actual code but in my reading of the `read_file` output if the line was truncated or something). Let me re-read the code carefully.

```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, look at the quote at the end: `".format`. It is `"...".format`. No, wait.
Looking at `read_file` again:
```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Actually, if I look at the `read_file` output for lines 160-170:
```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, the quote is `".format`. It's `"{}.\".format`. There's a `\"` there? No, the `read_file` output might be escaping quotes.

Let's check the actual file content using `cat` or `read_file` again more carefully.

Actually, I can see it now in the `read_file` output: `"Parameter {} must be of type {}.\".format(obj, obj_type_list))`.
There is a `\"` before `.format`. That means the string is `"Parameter {} must be of type {}.\"`. Then `.format` is called on the string.
So it's `TypeError("...").format(...)`.
Wait, `TypeError("...")` creates a `TypeError` exception object. Calling `.format()` on it will fail.

Wait, let me test it.

{
  "command": "python3 - <<'PY'\ntry:\n    raise TypeError(\"Parameter {} must be of type {}\".format(1, 2))\nexcept TypeError as e:\n    print(f\"Correct: {e}\")\n\ntry:\n    raise TypeError(\"Parameter {} must be of type {}\").format(1, 2)\nexcept Exception as e:\n    print(f\"Incorrect: {e}\")\nPY\n"
}

{
  "status": "ok",
  "stdout": "Correct: Parameter 1 must be of type 2\nIncorrect: 'TypeError' object has no attribute 'format'\n",
  "stderr": "",
  "exit_code": 0
}

Aha! So both `AttributeError` and `TypeError` are bugged in the same way: they are calling `.format()` on the exception object instead of the string passed to the exception.

So I need to fix:
1. Add `if isinstance(obj, str): return obj` to the beginning of `obj_or_str`.
2. Fix the `AttributeError` raising line.
3. Fix the `TypeError` raising line.

Let's check the `TypeError` line again in the source.
```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, if I look at the output of `read_file` for lines 160-170:
```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))
```
Actually, it says `".format`. The `\"` might be how the `read_file` output represents a literal quote in a JSON string? No, the output is a JSON dictionary.

Let's just look at the code and fix it.

Current `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
    """
    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))
```

Proposed fix:
```python
def obj_or_str(obj, attr, object_types):
    """
    Accepts either a string or an object. If it is a string, return it.
    If it is an object and the object has the attribute, return the
    corresponding string. Otherwise, throw an exception.

    :param obj: string or object from which to retrieve attribute
    :type obj: str or 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(
                "Attribute 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 {} or str.".format(obj, obj_type_list)
        )
```

Let's check for any other issues. I noticed a typo "Atttibute" in the original code:
`"Atttibute parameter {} must be of type string".format(attr)`
I should probably fix that too.

Wait, the original code's `raise TypeError` at the end:
```python
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
I suspect it was actually:
```python
        raise TypeError("Parameter {} must be of type {}".format(obj, obj_type_list))
```
and my `read_file` output was just weird? No, let's look at the `read_file` output again.

```
        raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Yes, there is a `\"` before `.format`. This is definitely a bug.

Wait, I should also check if any other function in `canvasapi` has this `obj_or_str` and if I should use something else. The issue says "Update `obj_or_str` to be more in line with `obj_or_id`".

Let's verify my fix with a reproduction script.

{
  "command": "python3 - <<'PY'\nfrom canvasapi.util import obj_or_str\n\nclass MockFeature:\n    def __init__(self, name):\n        self.name = name\n\nfeature_obj = MockFeature(\"my_feature\")\nfeature_str = \"my_feature\"\n\n# Test 1: Object with attribute\nprint(f\"Test 1: {obj_or_str(feature_obj, 'name', (MockFeature,)) == 'my_feature'}\")\n\n# Test 2: String\nprint(f\"Test 2: {obj_or_str(feature_str, 'name', (MockFeature,)) == 'my_feature'}\")\n\n# Test 3: Object of correct type but without attribute\ntry:\n    obj_or_str(feature_obj, 'wrong_attr', (MockFeature,))\n    print(\"Test 3 failed: should have raised AttributeError\")\nexcept AttributeError as e:\n    print(f\"Test 3 passed: {e}\")\n\n# Test 4: Object of incorrect type\ntry:\n    obj_or_str(123, 'name', (MockFeature,))\n    print(\"Test 4 failed: should have raised TypeError\")\nexcept TypeError as e:\n    print(f\"Test 4 passed: {e}\")\nPY\n"
}

{
  "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: 'str' object has no attribute 'name'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<stdin>\", line 14, in <module>\n  File \"/workspace/canvasapi/util.py\", line 166, in obj_or_str\n    raise TypeError(\"Parameter {} must be of type {}.\".format(obj, obj_type_list))\nTypeError: Parameter my_feature must be of type MockFeature.\n",
  "details": {
    "stdout": "Test 1: True\n",
    "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: 'str' object has no attribute 'name'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<stdin>\", line 14, in <module>\n  File \"/workspace/canvasapi/util.py\", line 166, in obj_or_str\n    raise TypeError(\"Parameter {} must be of type {}.\".format(obj, obj_type_list))\nTypeError: Parameter my_feature must be of type MockFeature.\n",
    "exit_code": 1
  }
}