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ROLLOUT 0 · ucfopen/canvasapi

ucfopen__canvasapi-716

Not solved
453 stotal time
14tool calls
14model calls
6,062tokens generated
126,324prompt tokens read

Empty agent patch

Turn by turn

Token shading: p ≥ 0.9 0.5 – 0.9 0.2 – 0.5 below 0.2. Hover a token for its id and probability.

System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`.
Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run.

## Critical Environment & Grader Rules
1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`.
2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files.
3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`.
4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks:
   `pytest path/to/test_file.py -k pattern -q --tb=short --no-header`
   If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off.
5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission.

## Execution Protocol

### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls)
- The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories.
- Run a single compound `run_command` with `grep -rn --include="*.py"` to locate:
  (a) the exact symbols, error strings, or functions from the problem description,
  (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and
  (c) the closest existing unit test files under `tests/`.

### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls)
- Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests.
- Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types.

### Phase 3 — Reproduce Bug in One Call (1 tool call)
- Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts.

### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls)
- Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`.
- Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests.
- **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`.

### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls)
- Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`.
- Run `git status --short && git diff` via `run_command`. Confirm:
  - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately),
  - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched),
  - Minimal, clean diff with valid imports and indentation.
- Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 5,028 characters
You are evaluating a software engineering task for repository ucfopen/canvasapi.

Problem Statement:
`obj_or_str` improperly rejects strings
We have a utility function called `obj_or_id` that is used across the library. It is designed to allow the user to provide either the canvas ID of an resource as an `int`, or let the library find the ID from an object automatically.

We also have a function called `obj_or_str` that appears to attempt doing a similar thing, albeit with type of `str` instead of `int`. Despite looking similar, it doesn't actually respect the user passing in a `str`. While the docstring for `obj_or_str` doesn't claim to work like `obj_or_id`, it's clear from usage in other functions that we expected it to.

It looks like `obj_or_str` has limited reach - only on functions related to `canvasapi.feature.Feature` objects:

- `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()`


Update `obj_or_str` to be more in line with `obj_or_id`.

## Task Budget (Session terminates when any budget is exhausted)
- Time allowance: 7.5 minutes
- Tool calls allowance: 30 calls
- Max loop iterations: 40 turns

## Execution Environment Rules
- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)
- Command output limit: 5000 characters
- File view limit: 150 lines per read_file call
- File character limit: 10000 characters per read_file call
- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.

## Instructions:
0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.
1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.
2. Inspect existing codebase conventions and test files before making edits.
3. Verify your implementation using targeted tests or inline assertions before submitting.
4. Call submit_patch only after your implementation is complete and verified.
5. As your final action, you must return a text-only response reporting your completion to terminate the session.
## Workspace Layout
The repository is located at `/workspace`. Here is the directory tree (up to 3 levels):
```
./AUTHORS.md
./CHANGELOG.md
./CODE_OF_CONDUCT.md
./DEPLOY.md
./LICENSE
./README.md
./_config.yml
./canvasapi
./canvasapi/__init__.py
./canvasapi/account.py
./canvasapi/account_calendar.py
./canvasapi/appointment_group.py
./canvasapi/assignment.py
./canvasapi/authentication_event.py
./canvasapi/authentication_provider.py
./canvasapi/avatar.py
./canvasapi/blueprint.py
./canvasapi/bookmark.py
./canvasapi/calendar_event.py
./canvasapi/canvas.py
./canvasapi/canvas_object.py
./canvasapi/collaboration.py
./canvasapi/comm_message.py
./canvasapi/communication_channel.py
./canvasapi/content_export.py
./canvasapi/content_migration.py
./canvasapi/conversation.py
./canvasapi/course.py
./canvasapi/course_epub_export.py
./canvasapi/course_event.py
./canvasapi/current_user.py
./canvasapi/custom_gradebook_columns.py
./canvasapi/discussion_topic.py
./canvasapi/enrollment.py
./canvasapi/enrollment_term.py
./canvasapi/eportfolio.py
./canvasapi/exceptions.py
./canvasapi/external_feed.py
./canvasapi/external_tool.py
./canvasapi/favorite.py
./canvasapi/feature.py
./canvasapi/file.py
./canvasapi/folder.py
./canvasapi/grade_change_log.py
./canvasapi/gradebook_history.py
./canvasapi/grading_period.py
./canvasapi/grading_standard.py
./canvasapi/group.py
./canvasapi/jwt.py
./canvasapi/license.py
./canvasapi/login.py
./canvasapi/lti_resource_link.py
./canvasapi/module.py
./canvasapi/new_quiz.py
./canvasapi/notification_preference.py
./canvasapi/outcome.py
./canvasapi/outcome_import.py
./canvasapi/page.py
./canvasapi/page_view.py
./canvasapi/paginated_list.py
./canvasapi/pairing_code.py
./canvasapi/peer_review.py
./canvasapi/planner.py
./canvasapi/poll.py
./canvasapi/poll_choice.py
./canvasapi/poll_session.py
./canvasapi/poll_submission.py
./canvasapi/progress.py
./canvasapi/quiz.py
./canvasapi/quiz_group.py
./canvasapi/requester.py
./canvasapi/rubric.py
./canvasapi/scope.py
./canvasapi/searchresult.py
./canvasapi/section.py
./canvasapi/sis_import.py
./canvasapi/submission.py
./canvasapi/tab.py
./canvasapi/todo.py
./canvasapi/upload.py
./canvasapi/usage_rights.py
./canvasapi/user.py
./canvasapi/util.py
./dev_requirements.txt
./docs
./markdown-style.rb
./requirements.txt
./scripts
./scripts/__init__.py
./scripts/alphabetic.py
./scripts/find_missing_kwargs.py
./scripts/find_missing_modules.py
./scripts/run_tests.sh
./scripts/validate_docstrings.py
./setup.cfg
./setup.py
./tests
./tests_requirements.txt
```
Turn 1at 19 s351 tokens out3,515 prompt tokens
The user wants to fix a bug in the `obj_or_str` function in the `canvasapi` library.
The goal is to make `obj_or_str` behave like `obj_or_id`.
`obj_or_id` allows passing either an ID (`int`) or an object from which the ID can be extracted.
`obj_or_str` should allow passing either a string or an object from which a string identifying it can be extracted.

According to the problem statement:
- `obj_or_id` and `obj_or_str` are likely utility functions.
- `obj_or_str` is used in:
    - `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()`

I need to find where `obj_or_id` and `obj_or_str` are defined. They are likely in `canvasapi/util.py` or some base class. Given the workspace layout, `canvasapi/util.py` is a strong candidate.

Let's start by searching for these functions.
TOOL CALL · run_command
{
  "command": "grep -rn --include=\"*.py\" \"def obj_or_id\" . && grep -rn --include=\"*.py\" \"def obj_or_str\" ."
}
Result of run_command 203 characters
{
  "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
}
Generated tokens 351 tokens · stopped: STOP
<|channel>thought The user wants to fix a bug in the `obj_or_str` function in the `canvasapi` library. The goal is to make `obj_or_str` behave like `obj_or_id`. `obj_or_id` allows passing either an ID (`int`) or an object from which the ID can be extracted. `obj_or_str` should allow passing either a string or an object from which a string identifying it can be extracted. According to the problem statement: - `obj_or_id` and `obj_or_str` are likely utility functions. - `obj_or_str` is used in: - `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()` I need to find where `obj_or_id` and `obj_or_str` are defined. They are likely in `canvasapi/util.py` or some base class. Given the workspace layout, `canvasapi/util.py` is a strong candidate. Let's start by searching for these functions.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "def obj_or_id" . && grep -rn --include="*.py" "def obj_or_str" .<|"|>}<tool_call|><|tool_response>
Turn 2at 24 s84 tokens out3,962 prompt tokens
Okay, both functions are in `canvasapi/util.py`.

Let's read the implementation of both `obj_or_id` and `obj_or_str` in `canvasapi/util.py`.
TOOL CALL · read_file
{
  "end_line": 160,
  "filepath": "canvasapi/util.py",
  "start_line": 100
}
Result of read_file 2,258 characters
{
  "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
}
Generated tokens 84 tokens · stopped: STOP
Okay, both functions are in `canvasapi/util.py`. Let's read the implementation of both `obj_or_id` and `obj_or_str` in `canvasapi/util.py`.<channel|><|tool_call>call:read_file{end_line:160,filepath:<|"|>canvasapi/util.py<|"|>,start_line:100}<tool_call|><|tool_response>
Turn 3at 34 s112 tokens out4,679 prompt tokens
Wait, the `obj_or_str` implementation in the `read_file` output seems truncated or incomplete. Let me read it again, ensuring I get the whole function. The `run_command` said it starts at line 136. Let's read from 136 to the end of the file or just a reasonable block.
TOOL CALL · read_file
{
  "end_line": 170,
  "filepath": "canvasapi/util.py",
  "start_line": 135
}
Result of read_file 1,452 characters
{
  "status": "ok",
  "filepath": "canvasapi/util.py",
  "content": "\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:\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": 135,
  "end_line": 170,
  "total_lines": 244,
  "is_truncated": false
}
Generated tokens 112 tokens · stopped: STOP
Wait, the `obj_or_str` implementation in the `read_file` output seems truncated or incomplete. Let me read it again, ensuring I get the whole function. The `run_command` said it starts at line 136. Let's read from 136 to the end of the file or just a reasonable block. <channel|><|tool_call>call:read_file{end_line:170,filepath:<|"|>canvasapi/util.py<|"|>,start_line:135}<tool_call|><|tool_response>
Turn 4at 92 s1,049 tokens out5,201 prompt tokens
Okay, I have the implementation of `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))
```

Wait, there is a bug in `obj_or_str` as it's written:
`raise AttributeError("{} object does not have {} attribute").format(obj, attr)`
`AttributeError()` is called first, and then `.format()` is called on the resulting exception object, which is incorrect. It should be `AttributeError("...".format(obj, attr))`.

But the main issue is that it doesn't support the case where `obj` is already a `str`.

Let's look at `obj_or_id` again:
```python
def obj_or_id(parameter, param_name, object_types):
    # ... docstring ...
    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)
```

`obj_or_id` first tries to convert the parameter to an `int`. If that fails, it checks if it's one of the `object_types` and tries to get its `.id`.

`obj_or_str` should do something similar:
1. Try to convert the `obj` (which is the parameter) to a `str`.
2. If it's already a `str` (or can be cast to one simply), return it.
3. If that fails or if we want to be more specific (like `obj_or_id` does with `int()`), we should check if it's one of the `object_types` and try to get the attribute `attr`.

The current `obj_or_str` implementation:
```python
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
       # ...
```
It immediately tries to get the attribute `attr` from `obj`. If `obj` is a string, `getattr(obj, attr)` will likely fail unless the string object happens to have an attribute with that name.

If `obj` is already a string, we should probably just return it.

Let's see how `obj_or_str` is used 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 check `canvasapi/feature.py` first, specifically `FeatureFlag.delete` and `set_feature_flag`.
TOOL CALL · read_file
{
  "filepath": "canvasapi/feature.py"
}
Result of read_file 4,173 characters
{
  "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
}
Generated tokens 1,049 tokens · stopped: STOP
Okay, I have the implementation of `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)) ``` Wait, there is a bug in `obj_or_str` as it's written: `raise AttributeError("{} object does not have {} attribute").format(obj, attr)` `AttributeError()` is called first, and then `.format()` is called on the resulting exception object, which is incorrect. It should be `AttributeError("...".format(obj, attr))`. But the main issue is that it doesn't support the case where `obj` is already a `str`. Let's look at `obj_or_id` again: ```python def obj_or_id(parameter, param_name, object_types): # ... docstring ... 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) ``` `obj_or_id` first tries to convert the parameter to an `int`. If that fails, it checks if it's one of the `object_types` and tries to get its `.id`. `obj_or_str` should do something similar: 1. Try to convert the `obj` (which is the parameter) to a `str`. 2. If it's already a `str` (or can be cast to one simply), return it. 3. If that fails or if we want to be more specific (like `obj_or_id` does with `int()`), we should check if it's one of the `object_types` and try to get the attribute `attr`. The current `obj_or_str` implementation: ```python try: return str(getattr(obj, attr)) except (AttributeError, TypeError): # ... ``` It immediately tries to get the attribute `attr` from `obj`. If `obj` is a string, `getattr(obj, attr)` will likely fail unless the string object happens to have an attribute with that name. If `obj` is already a string, we should probably just return it. Let's see how `obj_or_str` is used 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 check `canvasapi/feature.py` first, specifically `FeatureFlag.delete` and `set_feature_flag`. <channel|><|tool_call>call:read_file{filepath:<|"|>canvasapi/feature.py<|"|>}<tool_call|><|tool_response>
Turn 5at 139 s798 tokens out7,460 prompt tokens
I see some more bugs here. In `FeatureFlag.delete` and `set_feature_flag`:

```python
        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
            ),
            _kwargs=combine_kwargs(**kwargs),
        )
```

Wait, look at this: `feature` is passed to `obj_or_str`, and the result is `feature_name`. But then `feature._parent_type` and `feature._parent_id` are accessed on the `feature` object. If `feature` was a string (which is what we want to support), `feature._parent_type` will raise an `AttributeError`.

But the problem statement says the issue is with `obj_or_str` improperly rejecting strings. Let's focus on `obj_or_str` first.

If `obj_or_str` is implemented as `obj_or_id` is, it should look like this:

```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 Exception:
                break

    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, `obj_or_id` does `int(parameter)` first.
```python
    try:
        return int(parameter)
    except (ValueError, TypeError):
        # ...
```

So `obj_or_str` could do:
```python
    try:
        return str(obj)
    except (ValueError, TypeError):
        # ...
```
But `str(obj)` will always succeed in Python for almost everything. We specifically want to check if it's already a string, or if it's one of the `object_types` and has the attribute.

Actually, `obj_or_id`'s `int(parameter)` is used to check if it's already an integer or a string representation of one.

For `obj_or_str`, if the user passes a string, we just want that string. If they pass one of the `object_types`, we want to get the attribute `attr` from it as a string.

Let's create a reproduction script to see how `obj_or_str` currently fails.
TOOL CALL · run_command
{
  "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(\"test_feature\")\nfeature_str = \"test_feature\"\nobject_types = (MockFeature,)\n\nprint(f\"Testing with object: {obj_or_str(feature_obj, 'name', object_types)}\")\ntry:\n    print(f\"Testing with string: {obj_or_str(feature_str, 'name', object_types)}\")\nexcept Exception as e:\n    print(f\"Testing with string failed: {e}\")\nPY\n"
}
Result of run_command 176 characters
{
  "status": "ok",
  "stdout": "Testing with object: test_feature\nTesting with string failed: Parameter test_feature must be of type MockFeature.\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 798 tokens · stopped: STOP
I see some more bugs here. In `FeatureFlag.delete` and `set_feature_flag`: ```python 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 ), _kwargs=combine_kwargs(**kwargs), ) ``` Wait, look at this: `feature` is passed to `obj_or_str`, and the result is `feature_name`. But then `feature._parent_type` and `feature._parent_id` are accessed on the `feature` object. If `feature` was a string (which is what we want to support), `feature._parent_type` will raise an `AttributeError`. But the problem statement says the issue is with `obj_or_str` improperly rejecting strings. Let's focus on `obj_or_str` first. If `obj_or_str` is implemented as `obj_or_id` is, it should look like this: ```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 Exception: break 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, `obj_or_id` does `int(parameter)` first. ```python try: return int(parameter) except (ValueError, TypeError): # ... ``` So `obj_or_str` could do: ```python try: return str(obj) except (ValueError, TypeError): # ... ``` But `str(obj)` will always succeed in Python for almost everything. We specifically want to check if it's already a string, or if it's one of the `object_types` and has the attribute. Actually, `obj_or_id`'s `int(parameter)` is used to check if it's already an integer or a string representation of one. For `obj_or_str`, if the user passes a string, we just want that string. If they pass one of the `object_types`, we want to get the attribute `attr` from it as a string. Let's create a reproduction script to see how `obj_or_str` currently fails. <channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY' from canvasapi.util import obj_or_str class MockFeature: def __init__(self, name): self.name = name feature_obj = MockFeature("test_feature") feature_str = "test_feature" object_types = (MockFeature,) print(f"Testing with object: {obj_or_str(feature_obj, 'name', object_types)}") try: print(f"Testing with string: {obj_or_str(feature_str, 'name', object_types)}") except Exception as e: print(f"Testing with string failed: {e}") PY <|"|>}<tool_call|><|tool_response>
Turn 6at 203 s1,029 tokens out8,322 prompt tokens
Yep, it fails when a string is passed.

Now, let's see how `obj_or_id` is implemented and how it handles strings that can be converted to ints.

```python
def obj_or_id(parameter, param_name, object_types):
    # ...
    try:
        return int(parameter)
    except (ValueError, TypeError):
        # ...
```

If `parameter` is `"123"`, `int("123")` returns `123`. If `parameter` is `123`, `int(123)` returns `123`.

For `obj_or_str`, if we just do `str(obj)`, and `obj` is already a string, we get that string. If `obj` is some other object, we get its `__str__` representation. But we want the *attribute* `attr` if it's one of the `object_types`.

So if `obj` is a string, we should return it. If `obj` is one of the `object_types`, we should get the attribute.

Wait, if `obj` is a string, and also happens to be an instance of one of the `object_types` (unlikely but possible if `str` is in `object_types`), we should probably prioritize the string check or the attribute check? Usually these utilities prioritize the "primitive" type.

Let's look at `obj_or_id` again.
It tries `int(parameter)` first. If that fails, it checks `isinstance(parameter, obj_type)`.

So for `obj_or_str`, we should check if it's already a string first.

Actually, if the user passes a string, `isinstance(obj, str)` is true.

Revised `obj_or_str`:
```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, TypeError):
                continue
    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 current implementation's try-except:
```python
    try:
        return str(getattr(obj, attr))
    except (AttributeError, TypeError):
        # ...
```
If `obj` is a string, `getattr(obj, attr)` will fail with `AttributeError` because strings don't have a `name` attribute (or whatever `attr` is). Then it goes to the `except` block.

In the `except` block:
```python
        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))
```
And if `obj` is a string, it's not an instance of `obj_type` (unless `str` is in `object_types`), so it falls through to the `TypeError`.

So the fix is indeed to check `isinstance(obj, str)` at the beginning.

Let's verify if there are any other similar functions or if I should be careful about other things.
The problem statement mentioned:
- `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()`

I've already checked `FeatureFlag`. Let's check `Account`, `Course`, and `User`.

`canvasapi/account.py`:
TOOL CALL · read_file
{
  "filepath": "canvasapi/account.py"
}
Result of read_file 6,757 characters
{
  "status": "ok",
  "filepath": "canvasapi/account.py",
  "content": "from canvasapi.account_calendar import AccountCalendar\nfrom canvasapi.authentication_event import AuthenticationEvent\nfrom canvasapi.authentication_provider import AuthenticationProvider\nfrom canvasapi.canvas_object import CanvasObject\nfrom canvasapi.content_migration import ContentMigration, Migrator\nfrom canvasapi.course import Course\nfrom canvasapi.course_event import CourseEvent\nfrom canvasapi.enrollment import Enrollment\nfrom canvasapi.enrollment_term import EnrollmentTerm\nfrom canvasapi.exceptions import CanvasException, RequiredFieldMissing\nfrom canvasapi.external_tool import ExternalTool\nfrom canvasapi.feature import Feature, FeatureFlag\nfrom canvasapi.grading_period import GradingPeriod\nfrom canvasapi.grading_standard import GradingStandard\nfrom canvasapi.group import Group, GroupCategory\nfrom canvasapi.login import Login\nfrom canvasapi.outcome import OutcomeGroup, OutcomeLink\nfrom canvasapi.outcome_import import OutcomeImport\nfrom canvasapi.paginated_list import PaginatedList\nfrom canvasapi.rubric import Rubric\nfrom canvasapi.scope import Scope\nfrom canvasapi.sis_import import SisImport\nfrom canvasapi.user import User\nfrom canvasapi.util import combine_kwargs, file_or_path, obj_or_id, obj_or_str\n\n\nclass Account(CanvasObject):\n    def __str__(self):\n        return \"{} ({})\".format(self.name, self.id)\n\n    def abort_sis_imports_pending(self, **kwargs):\n        \"\"\"\n        Aborts all pending (created, but not processed or processing)\n        SIS imports for the current account.\n\n        :calls: `PUT /api/v1/accounts/:account_id/sis_imports/abort_all_pending \\\n        <https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.abort_all_pending>`_\n\n        :returns: True if the API responds with aborted=True, False otherwise.\n        :rtype: bool\n        \"\"\"\n        response = self._requester.request(\n            \"PUT\",\n            \"accounts/{}/sis_imports/abort_all_pending\".format(self.id),\n            _kwargs=combine_kwargs(**kwargs),\n        )\n\n        return response.json().get(\"aborted\", False)\n\n    def activate_role(self, role, **kwargs):\n        \"\"\"\n        Reactivate an inactive role.\n\n        :calls: `POST /api/v1/accounts/:account_id/roles/:id/activate \\\n        <https://canvas.instructure.com/doc/api/roles.html#method.role_overrides.activate_role>`_\n\n        :param role: The object or ID of the role.\n        :type role: :class:`canvasapi.account.Role` or int\n        :rtype: :class:`canvasapi.account.Role`\n        \"\"\"\n        role_id = obj_or_id(role, \"role\", (Role,))\n\n        response = self._requester.request(\n            \"POST\",\n            \"accounts/{}/roles/{}/activate\".format(self.id, role_id),\n            _kwargs=combine_kwargs(**kwargs),\n        )\n        return Role(self._requester, response.json())\n\n    def add_authentication_providers(self, **kwargs):\n        \"\"\"\n        Add external authentication providers for the account\n\n        :calls: `POST /api/v1/accounts/:account_id/authentication_providers \\\n        <https://canvas.instructure.com/doc/api/authentication_providers.html#method.account_authorization_configs.create>`_\n\n        :rtype: :class:`canvasapi.authentication_provider.AuthenticationProvider`\n        \"\"\"\n        response = self._requester.request(\n            \"POST\",\n            \"accounts/{}/authentication_providers\".format(self.id),\n            _kwargs=combine_kwargs(**kwargs),\n        )\n        authentication_providers_json = response.json()\n        authentication_providers_json.update({\"account_id\": self.id})\n\n        return AuthenticationProvider(self._requester, authentication_providers_json)\n\n    def add_grading_standards(self, title, grading_scheme_entry, **kwargs):\n        \"\"\"\n        Create a new grading standard for the account.\n\n        :calls: `POST /api/v1/accounts/:account_id/grading_standards \\\n        <https://canvas.instructure.com/doc/api/grading_standards.html#method.grading_standards_api.create>`_\n\n        :param title: The title for the Grading Standard\n        :type title: str\n        :param grading_scheme: A list of dictionaries containing keys for \"name\" and \"value\"\n        :type grading_scheme: list[dict]\n        :rtype: :class:`canvasapi.grading_standards.GradingStandard`\n        \"\"\"\n        if not isinstance(grading_scheme_entry, list) or len(grading_scheme_entry) <= 0:\n            raise ValueError(\"Param `grading_scheme_entry` must be a non-empty list.\")\n\n        for entry in grading_scheme_entry:\n            if not isinstance(entry, dict):\n                raise ValueError(\"grading_scheme_entry must consist of dictionaries.\")\n            if \"name\" not in entry or \"value\" not in entry:\n                raise ValueError(\n                    \"Dictionaries with keys 'name' and 'value' are required.\"\n                )\n        kwargs[\"grading_scheme_entry\"] = grading_scheme_entry\n\n        response = self._requester.request(\n            \"POST\",\n            \"accounts/%s/grading_standards\" % (self.id),\n            title=title,\n            _kwargs=combine_kwargs(**kwargs),\n        )\n\n        return GradingStandard(self._requester, response.json())\n\n    def close_notification_for_user(self, user, notification, **kwargs):\n        \"\"\"\n        If the user no long wants to see a notification, it can be\n        excused with this call.\n\n        :calls: `DELETE /api/v1/accounts/:account_id/users/:user_id/account_notifications/:id \\\n        <https://canvas.instructure.com/doc/api/account_notifications.html#method.account_notifications.user_close_notification>`_\n\n        :param user: The user object or ID to close the notificaton for.\n        :type user: :class:`canvasapi.user.User` or int\n        :param notification: The notification object or ID to close.\n        :type notification: :class:`canvasapi.account.AccountNotification` or int\n\n        :rtype: :class:`canvasapi.account.AccountNotification`\n        \"\"\"\n        user_id = obj_or_id(user, \"user\", (User,))\n        notif_id = obj_or_id(notification, \"notification\", (AccountNotification,))\n\n        response = self._requester.request(\n            \"DELETE\",\n            \"accounts/{}/users/{}/account_notifications/{}\".format(\n                self.id, user_id, notif_id\n            ),\n            _kwargs=combine_kwargs(**kwargs),\n        )\n        return AccountNotification(self._requester, response.json())\n\n    def create_account(self, **kwargs):",
  "start_line": 1,
  "end_line": 150,
  "total_lines": 1894,
  "is_truncated": true
}
Generated tokens 1,029 tokens · stopped: STOP
Yep, it fails when a string is passed. Now, let's see how `obj_or_id` is implemented and how it handles strings that can be converted to ints. ```python def obj_or_id(parameter, param_name, object_types): # ... try: return int(parameter) except (ValueError, TypeError): # ... ``` If `parameter` is `"123"`, `int("123")` returns `123`. If `parameter` is `123`, `int(123)` returns `123`. For `obj_or_str`, if we just do `str(obj)`, and `obj` is already a string, we get that string. If `obj` is some other object, we get its `__str__` representation. But we want the *attribute* `attr` if it's one of the `object_types`. So if `obj` is a string, we should return it. If `obj` is one of the `object_types`, we should get the attribute. Wait, if `obj` is a string, and also happens to be an instance of one of the `object_types` (unlikely but possible if `str` is in `object_types`), we should probably prioritize the string check or the attribute check? Usually these utilities prioritize the "primitive" type. Let's look at `obj_or_id` again. It tries `int(parameter)` first. If that fails, it checks `isinstance(parameter, obj_type)`. So for `obj_or_str`, we should check if it's already a string first. Actually, if the user passes a string, `isinstance(obj, str)` is true. Revised `obj_or_str`: ```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, TypeError): continue 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 current implementation's try-except: ```python try: return str(getattr(obj, attr)) except (AttributeError, TypeError): # ... ``` If `obj` is a string, `getattr(obj, attr)` will fail with `AttributeError` because strings don't have a `name` attribute (or whatever `attr` is). Then it goes to the `except` block. In the `except` block: ```python 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)) ``` And if `obj` is a string, it's not an instance of `obj_type` (unless `str` is in `object_types`), so it falls through to the `TypeError`. So the fix is indeed to check `isinstance(obj, str)` at the beginning. Let's verify if there are any other similar functions or if I should be careful about other things. The problem statement mentioned: - `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()` I've already checked `FeatureFlag`. Let's check `Account`, `Course`, and `User`. `canvasapi/account.py`: <channel|><|tool_call>call:read_file{filepath:<|"|>canvasapi/account.py<|"|>}<tool_call|><|tool_response>
Turn 7at 207 s48 tokens out11,187 prompt tokens
I need to find `get_feature_flag` in `Account`.
TOOL CALL · run_command
{
  "command": "grep -n \"def get_feature_flag\" canvasapi/account.py"
}
Result of run_command 117 characters
{
  "status": "ok",
  "stdout": "1091:    def get_feature_flag(self, feature, **kwargs):\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 48 tokens · stopped: STOP
I need to find `get_feature_flag` in `Account`. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "def get_feature_flag" canvasapi/account.py<|"|>}<tool_call|><|tool_response>
Turn 8at 211 s54 tokens out11,294 prompt tokens
Let's read `Account.get_feature_flag()`.
TOOL CALL · read_file
{
  "end_line": 1100,
  "filepath": "canvasapi/account.py",
  "start_line": 1090
}
Result of read_file 613 characters
{
  "status": "ok",
  "filepath": "canvasapi/account.py",
  "content": "\n    def get_feature_flag(self, feature, **kwargs):\n        \"\"\"\n        Returns the feature flag that applies to the given account.\n\n        :calls: `GET /api/v1/accounts/:account_id/features/flags/:feature \\\n        <https://canvas.instructure.com/doc/api/feature_flags.html#method.feature_flags.show>`_\n\n        :param feature: The feature object or name of the feature to retrieve.\n        :type feature: :class:`canvasapi.feature.Feature` or str\n",
  "start_line": 1090,
  "end_line": 1100,
  "total_lines": 1894,
  "is_truncated": false
}
Generated tokens 54 tokens · stopped: STOP
Let's read `Account.get_feature_flag()`. <channel|><|tool_call>call:read_file{end_line:1100,filepath:<|"|>canvasapi/account.py<|"|>,start_line:1090}<tool_call|><|tool_response>
Turn 9at 214 s54 tokens out11,556 prompt tokens
I'll read more lines of `get_feature_flag`.
TOOL CALL · read_file
{
  "end_line": 1110,
  "filepath": "canvasapi/account.py",
  "start_line": 1100
}
Result of read_file 554 characters
{
  "status": "ok",
  "filepath": "canvasapi/account.py",
  "content": "\n        :rtype: :class:`canvasapi.feature.FeatureFlag`\n        \"\"\"\n        feature_name = obj_or_str(feature, \"name\", (Feature,))\n\n        response = self._requester.request(\n            \"GET\",\n            \"accounts/{}/features/flags/{}\".format(self.id, feature_name),\n            _kwargs=combine_kwargs(**kwargs),\n        )\n        return FeatureFlag(self._requester, response.json())",
  "start_line": 1100,
  "end_line": 1110,
  "total_lines": 1894,
  "is_truncated": false
}
Generated tokens 54 tokens · stopped: STOP
I'll read more lines of `get_feature_flag`. <channel|><|tool_call>call:read_file{end_line:1110,filepath:<|"|>canvasapi/account.py<|"|>,start_line:1100}<tool_call|><|tool_response>
Turn 10at 340 s1,940 tokens out11,800 prompt tokens
Okay, so `Account.get_feature_flag(self, feature, **kwargs)` uses `obj_or_str(feature, "name", (Feature,))`.
In this case, `self.id` is used for the account ID, and `feature_name` is used for the feature name. This is fine because `feature_name` will be a string (either because `feature` was a string, or it was a `Feature` object and we got its `name` attribute).

Same for `Course.get_feature_flag` and `User.get_feature_flag`.

Now back to `FeatureFlag.delete` and `FeatureFlag.set_feature_flag` in `canvasapi/feature.py`.

```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
            ),
            _kwargs=combine_kwargs(**kwargs),
        )
        return FeatureFlag(self._requester, response.json())
```

Wait, `feature` is used here both as the argument to `obj_or_str` AND to access `feature._parent_type` and `feature._parent_id`.
If the user calls `feature_flag.delete("some_feature_name")`, where `feature` is a string, then `feature._parent_type` will fail.

This seems to be another bug. But the problem statement only said: "Update `obj_or_str` to be more in line with `obj_or_id`." and "it doesn't actually respect the user passing in a `str`".

If the user passes a string to `FeatureFlag.delete`, they're saying "Delete the flag for this feature (identified by name)". But the `FeatureFlag` object itself already knows its context (account, course, or user).

Let's look at `FeatureFlag`'s `__init__` or how it's constructed.

It's a `CanvasObject`.

In `FeatureFlag.delete(self, feature, **kwargs)`, `self` is the `FeatureFlag` instance.
The API calls are:
- `DELETE /api/v1/courses/:course_id/features/flags/:feature`
- `DELETE /api/v1/accounts/:account_id/features/flags/:feature`
- `DELETE /api/v1/users/:user_id/features/flags/:feature`

The `FeatureFlag` object should already have `context_type` and `context_id` (judging by its `__str__` method).

Let's check `FeatureFlag.__str__`:
```python
    def __str__(self):
        return "{} {} {} {}".format(
            self.context_type, self.context_id, self.feature, self.state
        )
```
So `self.context_type` and `self.context_id` are available on the `FeatureFlag` instance.
But `FeatureFlag.delete` uses `feature._parent_type` and `feature._parent_id`.
Wait:
```python
        response = self._requester.request(
            "DELETE",
            "{}s/{}/features/flags/{}\".format(
                feature._parent_type, feature._parent_id, feature_name
            ),
            _kwargs=combine_kwargs(**kwargs),
        )
```
`feature` is the argument to `delete`. If `feature` is a `Feature` object, it has `_parent_type` and `_parent_id`. But if it's a string, it doesn't.

However, the `FeatureFlag` object `self` already knows its context. Why is it using the `feature`'s parent?

Wait, is it possible that `FeatureFlag.delete` is intended to delete a flag for a *different* feature, but in the same context as the current `FeatureFlag` object?
No, the API paths suggest the context is part of the URL.

If I look at `FeatureFlag.delete`, it's taking `feature` as an argument. This `feature` is used to determine the name of the feature to delete, AND it's used to determine the context (account/course/user). This is very strange. If I have a `FeatureFlag` object, I should be able to delete it using its own context.

But the task is specifically about `obj_or_str`. I should focus on that. If I fix `obj_or_str`, I satisfy the primary request. If I also fix the `FeatureFlag` methods, I might be overstepping, or I might be fixing related bugs.

Actually, if I only fix `obj_or_str`, then `FeatureFlag.delete("some_feature")` will still fail with `AttributeError: 'str' object has no attribute '_parent_type'`.

Wait, the problem statement says:
"While the docstring for `obj_or_str` doesn't claim to work like `obj_or_id`, it's clear from usage in other functions that we expected it to."

And it lists:
- `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()`

If the goal is to make these functions work when a string is passed, then for `FeatureFlag.delete`, I MUST fix how it uses `feature`.

Wait, if `feature` is a string, where do we get the context ID and type from? The `FeatureFlag` object `self`!

Let's see what `FeatureFlag` has.
```python
    def __str__(self):
        return "{} {} {} {}".format(
            self.context_type, self.context_id, self.feature, self.state
        )
```
It has `context_type` and `context_id`.

So `FeatureFlag.delete` should probably use `self.context_type` and `self.context_id` instead of `feature._parent_type` and `feature._parent_id`.

Wait, let's check if `FeatureFlag` is indeed what's being used.
```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
            ),
            _kwargs=combine_kwargs(**kwargs),
        )
```
Wait, `feature` is the argument. `feature_name` is derived from it.
If `feature` is a `Feature` object, `feature._parent_type` is something like `"account"`.
The URL becomes `"accounts/{}/features/flags/{}"`.

If `self` (the `FeatureFlag` object) already has `context_type` and `context_id`, then `self.context_type` should be `"account"` and `self.context_id` should be the account ID.

So it should be:
```python
        response = self._requester.request(
            "DELETE",
            "{}s/{}/features/flags/{}\".format(
                self.context_type, self.context_id, feature_name
            ),
            _kwargs=combine_kwargs(**kwargs),
        )
```

But wait, what if `feature` (the argument) is a `Feature` object from a *different* account? Then it would be trying to delete a flag for that other account, but using the `FeatureFlag` object's requester? That's possible if the requester is a global one.

But looking at the code, `feature._parent_type` and `feature._parent_id` are used.

If I only fix `obj_or_str`, I've done what was asked. But then `FeatureFlag.delete` and `set_feature_flag` are still broken for strings.

Let's see if there are any tests for this.
TOOL CALL · run_command
{
  "command": "grep -rn \"test_get_feature_flag\" tests/"
}
Result of run_command 259 characters
{
  "status": "ok",
  "stdout": "tests/test_user.py:557:    def test_get_feature_flag(self, m):\ntests/test_course.py:1819:    def test_get_feature_flag(self, m):\ntests/test_account.py:1423:    def test_get_feature_flag(self, m):\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 1,940 tokens · stopped: STOP
Okay, so `Account.get_feature_flag(self, feature, **kwargs)` uses `obj_or_str(feature, "name", (Feature,))`. In this case, `self.id` is used for the account ID, and `feature_name` is used for the feature name. This is fine because `feature_name` will be a string (either because `feature` was a string, or it was a `Feature` object and we got its `name` attribute). Same for `Course.get_feature_flag` and `User.get_feature_flag`. Now back to `FeatureFlag.delete` and `FeatureFlag.set_feature_flag` in `canvasapi/feature.py`. ```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 ), _kwargs=combine_kwargs(**kwargs), ) return FeatureFlag(self._requester, response.json()) ``` Wait, `feature` is used here both as the argument to `obj_or_str` AND to access `feature._parent_type` and `feature._parent_id`. If the user calls `feature_flag.delete("some_feature_name")`, where `feature` is a string, then `feature._parent_type` will fail. This seems to be another bug. But the problem statement only said: "Update `obj_or_str` to be more in line with `obj_or_id`." and "it doesn't actually respect the user passing in a `str`". If the user passes a string to `FeatureFlag.delete`, they're saying "Delete the flag for this feature (identified by name)". But the `FeatureFlag` object itself already knows its context (account, course, or user). Let's look at `FeatureFlag`'s `__init__` or how it's constructed. It's a `CanvasObject`. In `FeatureFlag.delete(self, feature, **kwargs)`, `self` is the `FeatureFlag` instance. The API calls are: - `DELETE /api/v1/courses/:course_id/features/flags/:feature` - `DELETE /api/v1/accounts/:account_id/features/flags/:feature` - `DELETE /api/v1/users/:user_id/features/flags/:feature` The `FeatureFlag` object should already have `context_type` and `context_id` (judging by its `__str__` method). Let's check `FeatureFlag.__str__`: ```python def __str__(self): return "{} {} {} {}".format( self.context_type, self.context_id, self.feature, self.state ) ``` So `self.context_type` and `self.context_id` are available on the `FeatureFlag` instance. But `FeatureFlag.delete` uses `feature._parent_type` and `feature._parent_id`. Wait: ```python response = self._requester.request( "DELETE", "{}s/{}/features/flags/{}\".format( feature._parent_type, feature._parent_id, feature_name ), _kwargs=combine_kwargs(**kwargs), ) ``` `feature` is the argument to `delete`. If `feature` is a `Feature` object, it has `_parent_type` and `_parent_id`. But if it's a string, it doesn't. However, the `FeatureFlag` object `self` already knows its context. Why is it using the `feature`'s parent? Wait, is it possible that `FeatureFlag.delete` is intended to delete a flag for a *different* feature, but in the same context as the current `FeatureFlag` object? No, the API paths suggest the context is part of the URL. If I look at `FeatureFlag.delete`, it's taking `feature` as an argument. This `feature` is used to determine the name of the feature to delete, AND it's used to determine the context (account/course/user). This is very strange. If I have a `FeatureFlag` object, I should be able to delete it using its own context. But the task is specifically about `obj_or_str`. I should focus on that. If I fix `obj_or_str`, I satisfy the primary request. If I also fix the `FeatureFlag` methods, I might be overstepping, or I might be fixing related bugs. Actually, if I only fix `obj_or_str`, then `FeatureFlag.delete("some_feature")` will still fail with `AttributeError: 'str' object has no attribute '_parent_type'`. Wait, the problem statement says: "While the docstring for `obj_or_str` doesn't claim to work like `obj_or_id`, it's clear from usage in other functions that we expected it to." And it lists: - `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()` If the goal is to make these functions work when a string is passed, then for `FeatureFlag.delete`, I MUST fix how it uses `feature`. Wait, if `feature` is a string, where do we get the context ID and type from? The `FeatureFlag` object `self`! Let's see what `FeatureFlag` has. ```python def __str__(self): return "{} {} {} {}".format( self.context_type, self.context_id, self.feature, self.state ) ``` It has `context_type` and `context_id`. So `FeatureFlag.delete` should probably use `self.context_type` and `self.context_id` instead of `feature._parent_type` and `feature._parent_id`. Wait, let's check if `FeatureFlag` is indeed what's being used. ```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 ), _kwargs=combine_kwargs(**kwargs), ) ``` Wait, `feature` is the argument. `feature_name` is derived from it. If `feature` is a `Feature` object, `feature._parent_type` is something like `"account"`. The URL becomes `"accounts/{}/features/flags/{}"`. If `self` (the `FeatureFlag` object) already has `context_type` and `context_id`, then `self.context_type` should be `"account"` and `self.context_id` should be the account ID. So it should be: ```python response = self._requester.request( "DELETE", "{}s/{}/features/flags/{}\".format( self.context_type, self.context_id, feature_name ), _kwargs=combine_kwargs(**kwargs), ) ``` But wait, what if `feature` (the argument) is a `Feature` object from a *different* account? Then it would be trying to delete a flag for that other account, but using the `FeatureFlag` object's requester? That's possible if the requester is a global one. But looking at the code, `feature._parent_type` and `feature._parent_id` are used. If I only fix `obj_or_str`, I've done what was asked. But then `FeatureFlag.delete` and `set_feature_flag` are still broken for strings. Let's see if there are any tests for this. <channel|><|tool_call>call:run_command{command:<|"|>grep -rn "test_get_feature_flag" tests/<|"|>}<tool_call|><|tool_response>
Turn 11at 342 s37 tokens out13,861 prompt tokens
And `test_feature_flag`?
TOOL CALL · run_command
{
  "command": "grep -rn \"test_feature_flag\" tests/"
}
Result of run_command 127 characters
{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "",
  "details": {
    "stdout": "",
    "stderr": "",
    "exit_code": 1
  }
}
Generated tokens 37 tokens · stopped: STOP
And `test_feature_flag`? <channel|><|tool_call>call:run_command{command:<|"|>grep -rn "test_feature_flag" tests/<|"|>}<tool_call|><|tool_response>
Turn 12at 344 s46 tokens out13,953 prompt tokens
No results. Let's try just `feature_flag`.
TOOL CALL · run_command
{
  "command": "grep -rn \"feature_flag\" tests/ | head -n 20"
}
Result of run_command 1,611 characters
{
  "status": "ok",
  "stdout": "tests/test_user.py:556:    # get_feature_flag()\ntests/test_user.py:557:    def test_get_feature_flag(self, m):\ntests/test_user.py:558:        register_uris({\"user\": [\"get_features\", \"get_feature_flag\"]}, m)\ntests/test_user.py:562:        feature_flag = self.user.get_feature_flag(feature)\ntests/test_user.py:564:        self.assertIsInstance(feature_flag, FeatureFlag)\ntests/test_user.py:565:        self.assertEqual(feature_flag.feature, \"high_contrast\")\ntests/fixtures/account.json:1853:\t\"get_feature_flag\": {\ntests/fixtures/account.json:1864:\t\"set_feature_flag\": {\ntests/fixtures/account.json:1875:\t\"delete_feature_flag\": {\ntests/fixtures/user.json:1148:\t\"get_feature_flag\": {\ntests/fixtures/user.json:1157:\t\"set_feature_flag\": {\ntests/fixtures/user.json:1166:\t\"delete_feature_flag\": {\ntests/fixtures/course.json:2222:\t\"get_feature_flag\": {\ntests/fixtures/course.json:2233:\t\"set_feature_flag\": {\ntests/fixtures/course.json:2244:\t\"delete_feature_flag\": {\ntests/test_feature.py:74:                \"account\": [\"get_by_id\", \"get_features\", \"get_feature_flag\"],\ntests/test_feature.py:75:                \"course\": [\"get_by_id\", \"get_features\", \"get_feature_flag\"],\ntests/test_feature.py:76:                \"user\": [\"get_by_id\", \"get_features\", \"get_feature_flag\"],\ntests/test_feature.py:86:            self.feature_flag_account = self.account.get_feature_flag(\ntests/test_feature.py:89:            self.feature_flag_course = self.course.get_feature_flag(self.feature_course)\n",
  "stderr": "",
  "exit_code": 0
}
Generated tokens 46 tokens · stopped: STOP
No results. Let's try just `feature_flag`. <channel|><|tool_call>call:run_command{command:<|"|>grep -rn "feature_flag" tests/ | head -n 20<|"|>}<tool_call|><|tool_response>
Turn 13at 346 s37 tokens out14,595 prompt tokens
Let's look at `tests/test_feature.py`.
TOOL CALL · read_file
{
  "filepath": "tests/test_feature.py"
}
Result of read_file 5,257 characters
{
  "status": "ok",
  "filepath": "tests/test_feature.py",
  "content": "import unittest\n\nimport requests_mock\n\nfrom canvasapi import Canvas\nfrom canvasapi.feature import Feature, FeatureFlag\nfrom tests import settings\nfrom tests.util import register_uris\n\n\n@requests_mock.Mocker()\nclass TestFeature(unittest.TestCase):\n    def setUp(self):\n        self.canvas = Canvas(settings.BASE_URL, settings.API_KEY)\n\n        with requests_mock.Mocker() as m:\n            requires = {\n                \"account\": [\"get_by_id\", \"get_features\"],\n                \"course\": [\"get_by_id\", \"get_features\"],\n                \"user\": [\"get_by_id\", \"get_features\"],\n            }\n            register_uris(requires, m)\n\n            self.account = self.canvas.get_account(1)\n            self.course = self.canvas.get_course(1)\n            self.user = self.canvas.get_user(1)\n            self.feature_account = self.account.get_features()[0]\n            self.feature_course = self.course.get_features()[0]\n            self.feature_user = self.user.get_features()[0]\n\n    # __str__()\n    def test__str__(self, m):\n        string = str(self.feature_course)\n        self.assertIsInstance(string, str)\n\n    # _parent_id()\n    def test_parent_id_account(self, m):\n        self.assertEqual(self.feature_account._parent_id, 1)\n\n    def test_parent_id_course(self, m):\n        self.assertEqual(self.feature_course._parent_id, 1)\n\n    def test_parent_id_user(self, m):\n        self.assertEqual(self.feature_user._parent_id, 1)\n\n    def test_parent_id_no_id(self, m):\n        feature = Feature(self.canvas._Canvas__requester, {\"id\": 1})\n        with self.assertRaises(ValueError):\n            feature._parent_id\n\n    # _parent_type()\n    def test_parent_type_account(self, m):\n        self.assertEqual(self.feature_account._parent_type, \"account\")\n\n    def test_parent_type_course(self, m):\n        self.assertEqual(self.feature_course._parent_type, \"course\")\n\n    def test_parent_type_user(self, m):\n        self.assertEqual(self.feature_user._parent_type, \"user\")\n\n    def test_parent_type_no_id(self, m):\n        feature = Feature(self.canvas._Canvas__requester, {\"id\": 1})\n        with self.assertRaises(ValueError):\n            feature._parent_type\n\n\n@requests_mock.Mocker()\nclass TestFeatureFlag(unittest.TestCase):\n    def setUp(self):\n        self.canvas = Canvas(settings.BASE_URL, settings.API_KEY)\n\n        with requests_mock.Mocker() as m:\n            requires = {\n                \"account\": [\"get_by_id\", \"get_features\", \"get_feature_flag\"],\n                \"course\": [\"get_by_id\", \"get_features\", \"get_feature_flag\"],\n                \"user\": [\"get_by_id\", \"get_features\", \"get_feature_flag\"],\n            }\n            register_uris(requires, m)\n\n            self.account = self.canvas.get_account(1)\n            self.course = self.canvas.get_course(1)\n            self.user = self.canvas.get_user(1)\n            self.feature_account = self.account.get_features()[0]\n            self.feature_course = self.course.get_features()[0]\n            self.feature_user = self.user.get_features()[0]\n            self.feature_flag_account = self.account.get_feature_flag(\n                self.feature_account\n            )\n            self.feature_flag_course = self.course.get_feature_flag(self.feature_course)\n            self.feature_flag_user = self.user.get_feature_flag(self.feature_user)\n\n    # __str__()\n    def test__str__(self, m):\n        string = str(self.feature_flag_course)\n        self.assertIsInstance(string, str)\n\n    # delete()\n    def test_delete_account(self, m):\n        register_uris({\"account\": [\"delete_feature_flag\"]}, m)\n        delete_flag = self.feature_flag_account.delete(self.feature_account)\n\n        self.assertIsInstance(delete_flag, FeatureFlag)\n\n    def test_delete_course(self, m):\n        register_uris({\"course\": [\"delete_feature_flag\"]}, m)\n        delete_flag = self.feature_flag_course.delete(self.feature_course)\n\n        self.assertIsInstance(delete_flag, FeatureFlag)\n\n    def test_delete_user(self, m):\n        register_uris({\"user\": [\"delete_feature_flag\"]}, m)\n        delete_flag = self.feature_flag_user.delete(self.feature_user)\n\n        self.assertIsInstance(delete_flag, FeatureFlag)\n\n    # set_feature_flag()\n    def test_set_feature_flag_account(self, m):\n        register_uris({\"account\": [\"set_feature_flag\"]}, m)\n        update_flag = self.feature_flag_account.set_feature_flag(self.feature_account)\n\n        self.assertIsInstance(update_flag, FeatureFlag)\n\n    def test_set_feature_flag_course(self, m):\n        register_uris({\"course\": [\"set_feature_flag\"]}, m)\n        update_flag = self.feature_flag_course.set_feature_flag(self.feature_course)\n\n        self.assertIsInstance(update_flag, FeatureFlag)\n\n    def test_set_feature_flag_user(self, m):\n        register_uris({\"user\": [\"set_feature_flag\"]}, m)\n        update_flag = self.feature_flag_user.set_feature_flag(self.feature_user)\n\n        self.assertIsInstance(update_flag, FeatureFlag)",
  "start_line": 1,
  "end_line": 133,
  "total_lines": 133,
  "is_truncated": false
}
Generated tokens 37 tokens · stopped: STOP
Let's look at `tests/test_feature.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>tests/test_feature.py<|"|>}<tool_call|><|tool_response>
Turn 14at 448 s423 tokens out4,939 prompt tokens
Okay, the current tests exclusively use `Feature` objects. I need to test with strings.

Wait, there's a `Feature` object and a `FeatureFlag` object.
In `canvasapi/feature.py`:
`FeatureFlag` is returned by `get_feature_flag()`.
`FeatureFlag.delete(self, feature)` and `FeatureFlag.set_feature_flag(self, feature)`.

Wait, `FeatureFlag` seems to be the *flagging* mechanism for a feature. The `feature` argument to `delete` and `set_feature_flag` is the feature *itself*.

Let's re-verify the `obj_or_str` return value.
If I pass a string "high_contrast" to `Account.get_feature_flag()`, it uses `obj_or_str(feature, "feature")`.
If "high_contrast" is passed, `obj_or_str` should return "high_contrast".
Then `Account.get_feature_flag` uses that string in the API call.

Now for `FeatureFlag.delete(self, feature)`:
It calls `obj_or_str(feature, "feature")`.
If "high_contrast" is passed, `obj_or_str` returns "high_contrast".
Then `FeatureFlag.delete` uses `feature._parent_type` and `feature._parent_id`.
But `feature` is now "high_contrast" (a string), so `feature._parent_type` will fail.

Wait, `FeatureFlag` is an object associated with a feature flag.
If I have a `FeatureFlag` object, it already knows its parent and feature?
Let's check `FeatureFlag.__init__` and these methods.
TOOL CALL · read_file
{
  "end_line": 100,
  "filepath": "canvasapi/feature.py",
  "start_line": 1
}
Result of read_file 3,708 characters
{
  "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",
  "start_line": 1,
  "end_line": 100,
  "total_lines": 112,
  "is_truncated": false
}
Generated tokens 423 tokens · stopped: STOP
Okay, the current tests exclusively use `Feature` objects. I need to test with strings. Wait, there's a `Feature` object and a `FeatureFlag` object. In `canvasapi/feature.py`: `FeatureFlag` is returned by `get_feature_flag()`. `FeatureFlag.delete(self, feature)` and `FeatureFlag.set_feature_flag(self, feature)`. Wait, `FeatureFlag` seems to be the *flagging* mechanism for a feature. The `feature` argument to `delete` and `set_feature_flag` is the feature *itself*. Let's re-verify the `obj_or_str` return value. If I pass a string "high_contrast" to `Account.get_feature_flag()`, it uses `obj_or_str(feature, "feature")`. If "high_contrast" is passed, `obj_or_str` should return "high_contrast". Then `Account.get_feature_flag` uses that string in the API call. Now for `FeatureFlag.delete(self, feature)`: It calls `obj_or_str(feature, "feature")`. If "high_contrast" is passed, `obj_or_str` returns "high_contrast". Then `FeatureFlag.delete` uses `feature._parent_type` and `feature._parent_id`. But `feature` is now "high_contrast" (a string), so `feature._parent_type` will fail. Wait, `FeatureFlag` is an object associated with a feature flag. If I have a `FeatureFlag` object, it already knows its parent and feature? Let's check `FeatureFlag.__init__` and these methods.<channel|><|tool_call>call:read_file{filepath:<|"|>canvasapi/feature.py<|"|>,start_line:1,end_line:100}<tool_call|><|tool_response>

Patch, tests and logs

Final code change Included
Test output Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Test errors Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Test report (JUnit) Missing
Not saved for this rollout. Nothing has been inferred or reconstructed.
Agent log Included
  [   0.0s] 📋 System Prompt: You are a principal Python software engineer resolving a repository issue in `/workspace`.
  [   0.0s] 🎯 Task Prompt: You are evaluating a software engineering task for repository ucfopen/canvasapi.
  [  18.4s] 💭 (976 chars) "The user wants to fix a bug in the `obj_or_str` function in the `canvasapi` library.
The goal is to make `obj_or_str` be..."
  [  18.4s] 🔧 run_command grep -rn --include="*.py" "def obj_or_id" . && grep -rn --include="*.py" "def ob
  [  18.4s]   → ./canvasapi/util.py:101:def obj_or_id(parameter, param_name, object_types):
  [  23.4s] 💭 (140 chars) "Okay, both functions are in `canvasapi/util.py`.

Let's read the implementation of both `obj_or_id` and `obj_or_str` in ..."
  [  23.4s] 📖 read_file (canvasapi/util.py)
  [  23.4s]   ✓ {'status': 'ok', 'filepath': 'canvasapi/util.py', 'content': '\ndef obj_or_id(parameter, param_name, 
object_types):\n   …
  [  33.3s] 💭 (268 chars) "Wait, the `obj_or_str` implementation in the `read_file` output seems truncated or 
incomplete. Let me read it again, ens..."
  [  33.3s] 📖 read_file (canvasapi/util.py)
  [  33.4s]   ✓ {'status': 'ok', 'filepath': 'canvasapi/util.py', 'content': '\ndef obj_or_str(obj, attr, 
object_types):\n    """\n    A…
  [  90.7s] 💭 (3832 chars) "Okay, I have the implementation of `obj_or_str`.

```python
def obj_or_str(obj, attr, object_types):
    """
    Accepts..."
  [  90.7s] 📖 read_file (canvasapi/feature.py)
  [  90.8s]   ✓ {'status': 'ok', 'filepath': 'canvasapi/feature.py', 'content': 'from canvasapi.canvas_object import 
CanvasObject\nfrom …
  [ 138.4s] 💭 (2213 chars) "I see some more bugs here. In `FeatureFlag.delete` and `set_feature_flag`:

```python
        feature_name = obj_or_str(..."
  [ 138.4s] 🔧 run_command (17 lines) python3 - <<'PY'
  [ 138.8s]   → Testing with object: test_feature
  [ 202.7s] 💭 (3564 chars) "Yep, it fails when a string is passed.

Now, let's see how `obj_or_id` is implemented and how it handles strings that ca..."
  [ 202.7s] 📖 read_file (canvasapi/account.py)
  [ 202.7s]   ✓ {'status': 'ok', 'filepath': 'canvasapi/account.py', 'content': 'from canvasapi.account_calendar import 
AccountCalendar\…
  [ 206.3s] 💭 (47 chars) "I need to find `get_feature_flag` in `Account`."
  [ 206.3s] 🔧 run_command grep -n "def get_feature_flag" canvasapi/account.py
  [ 206.3s]   → 1091:    def get_feature_flag(self, feature, **kwargs):
  [ 210.0s] 💭 (40 chars) "Let's read `Account.get_feature_flag()`."
  [ 210.0s] 📖 read_file (canvasapi/account.py)
  [ 210.1s]   ✓ {'status': 'ok', 'filepath': 'canvasapi/account.py', 'content': '\n    def get_feature_flag(self, 
feature, **kwargs):\n …
  [ 213.1s] 💭 (43 chars) "I'll read more lines of `get_feature_flag`."
  [ 213.1s] 📖 read_file (canvasapi/account.py)
  [ 213.1s]   ✓ {'status': 'ok', 'filepath': 'canvasapi/account.py', 'content': '\n        :rtype: 
:class:`canvasapi.feature.FeatureFlag…
  [ 339.1s] 💭 (6692 chars) "Okay, so `Account.get_feature_flag(self, feature, **kwargs)` uses `obj_or_str(feature, 
"name", (Feature,))`.
In this cas..."
  [ 339.1s] 🔧 run_command grep -rn "test_get_feature_flag" tests/
  [ 339.1s]   → tests/test_user.py:557:    def test_get_feature_flag(self, m):
  [ 341.3s] 💭 (24 chars) "And `test_feature_flag`?"
  [ 341.3s] 🔧 run_command grep -rn "test_feature_flag" tests/
  [ 341.3s]   → error (exit 0): 
  [ 343.7s] 💭 (42 chars) "No results. Let's try just `feature_flag`."
  [ 343.7s] 🔧 run_command grep -rn "feature_flag" tests/ | head -n 20
  [ 343.7s]   → tests/test_user.py:556:    # get_feature_flag()
  [ 345.5s] 💭 (38 chars) "Let's look at `tests/test_feature.py`."
  [ 345.5s] 📖 read_file (tests/test_feature.py)
  [ 345.5s]   ✓ {'status': 'ok', 'filepath': 'tests/test_feature.py', 'content': 'import unittest\n\nimport 
requests_mock\n\nfrom canvas…
  [ 446.8s] 💭 (1286 chars) "Okay, the current tests exclusively use `Feature` objects. I need to test with strings.

Wait, there's a `Feature` objec..."
  [ 446.8s] 📖 read_file (canvasapi/feature.py)
  [ 446.8s]   ✓ {'status': 'ok', 'filepath': 'canvasapi/feature.py', 'content': 'from canvasapi.canvas_object import 
CanvasObject\nfrom …
Native result row
{
  "agent_error": "Agent exceeded session timeout (7.5 min)",
  "duration_seconds": 453.47,
  "error": "Empty agent patch",
  "grade": {
    "error": "Empty agent patch",
    "resolved": false,
    "strict_clean_patch": false,
    "test_exit_code": -1
  },
  "instance_id": "ucfopen__canvasapi-716",
  "pass_idx": 0,
  "patch_chars": 0,
  "phase1_seconds": 453.47,
  "repo": "ucfopen/canvasapi",
  "request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/ucfopen__canvasapi-716__p0__r0.jsonl",
  "resolved": false,
  "rollout_idx": 0,
  "run_key": "ucfopen__canvasapi-716__p0__r0",
  "strict_clean_patch": false,
  "tool_calls": 14,
  "total_llm_calls": 14,
  "trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_ucfopen__canvasapi-716__p0__r0.json"
}