ROLLOUT 5 · ucfopen/canvasapi
ucfopen__canvasapi-716
Not solved
453 stotal time
15tool calls
15model calls
5,918tokens generated
113,794prompt tokens read
Empty agent patch
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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 s359 tokens out3,515 prompt tokens
The user wants me to fix a bug in the `obj_or_str` utility function in the `canvasapi` library. The `obj_or_str` function is supposed to behave similarly to `obj_or_id`, which allows providing either a resource ID (as an `int`) or the resource object itself. `obj_or_str` should allow providing either a resource identifier as a `str` or the resource object itself. Currently, `obj_or_str` apparently rejects strings. The problem statement mentions that `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: 1. Find where `obj_or_id` and `obj_or_str` are defined. They are likely in `canvasapi/util.py` based on the folder structure and the name. 2. Analyze the implementation of both. 3. Fix `obj_or_str` to correctly handle strings. 4. Verify the fix. Let's start by locating and reading the definitions of `obj_or_id` and `obj_or_str`.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" -e \"def obj_or_id\" -e \"def obj_or_str\""
}Result of run_command 199 characters
{
"status": "ok",
"stdout": "canvasapi/util.py:101:def obj_or_id(parameter, param_name, object_types):\ncanvasapi/util.py:136:def obj_or_str(obj, attr, object_types):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 359 tokens · stopped: STOP
<|channel>thought
The user wants me to fix a bug in the `obj_or_str` utility function in the `canvasapi` library.
The `obj_or_str` function is supposed to behave similarly to `obj_or_id`, which allows providing either a resource ID (as an `int`) or the resource object itself.
`obj_or_str` should allow providing either a resource identifier as a `str` or the resource object itself.
Currently, `obj_or_str` apparently rejects strings.
The problem statement mentions that `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:
1. Find where `obj_or_id` and `obj_or_str` are defined. They are likely in `canvasapi/util.py` based on the folder structure and the name.
2. Analyze the implementation of both.
3. Fix `obj_or_str` to correctly handle strings.
4. Verify the fix.
Let's start by locating and reading the definitions of `obj_or_id` and `obj_or_str`.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" -e "def obj_or_id" -e "def obj_or_str"<|"|>}<tool_call|><|tool_response>
Turn 2at 24 s70 tokens out3,969 prompt tokens
Okay, both are in `canvasapi/util.py`. Let's read the implementations of these two functions in `canvasapi/util.py`.
TOOL CALL · read_file
{
"end_line": 150,
"filepath": "canvasapi/util.py",
"start_line": 100
}Result of read_file 1,857 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))",
"start_line": 100,
"end_line": 150,
"total_lines": 244,
"is_truncated": false
}Generated tokens 70 tokens · stopped: STOP
Okay, both are in `canvasapi/util.py`. Let's read the implementations of these two functions in `canvasapi/util.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>canvasapi/util.py<|"|>,start_line:100,end_line:150}<tool_call|><|tool_response>
Turn 3at 32 s97 tokens out4,585 prompt tokens
Wait, `read_file` cut off `obj_or_str` it seems? no, it ended at line 150 and `obj_or_str` started at 136. Let's see the full definition of `obj_or_str`.
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 97 tokens · stopped: STOP
Wait, `read_file` cut off `obj_or_str` it seems? no, it ended at line 150 and `obj_or_str` started at 136. Let's see the full definition of `obj_or_str`.
<channel|><|tool_call>call:read_file{end_line:170,filepath:<|"|>canvasapi/util.py<|"|>,start_line:135}<tool_call|><|tool_response>
Turn 4at 76 s749 tokens out5,092 prompt tokens
The implementation of `obj_or_str` is currently:
```python
def obj_or_str(obj, attr, object_types):
"""
Accepts an object. If the object has the attribute, return the
corresponding string. Otherwise, throw an exception.
:param obj: object from which to retrieve attribute
:type obj: object
:param attr: name of the attribute to retrieve
:type attr: str
:param object_types: tuple containing the types of the object being passed in
:type object_types: tuple
:rtype: str
"""
try:
return str(getattr(obj, attr))
except (AttributeError, TypeError):
if not isinstance(attr, str):
raise TypeError(
"Atttibute parameter {} must be of type string".format(attr)
)
for obj_type in object_types:
if isinstance(obj, obj_type):
try:
return str(getattr(obj, attr))
except AttributeError:
raise AttributeError("{} object does not have {} attribute").format(
obj, attr
)
obj_type_list = ",".join([obj_type.__name__ for obj_type in object_types])
raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, look at `obj_or_id`:
```python
def obj_or_id(parameter, param_name, object_types):
# ...
try:
return int(parameter)
except (ValueError, TypeError):
# ...
for obj_type in object_types:
if isinstance(parameter, obj_type):
try:
return int(parameter.id)
except Exception:
break
# ...
```
In `obj_or_id`, it first tries to convert `parameter` to `int`. If it succeeds, it’s returned. This allows the user to pass in the ID directly.
In `obj_or_str`, it does `getattr(obj, attr)`. If `obj` is already a string, calling `getattr('some_string', 'some_attr')` will likely fail with `AttributeError` if `some_attr` is not a method of `str`.
The problem statement says: "`obj_or_str` improperly rejects strings".
If the user passes a string, it should probably be returned as is, just like `obj_or_id` returns the `int` if it's passed as an `int`.
So `obj_or_str` should probably check if `obj` is already a string at the beginning.
Wait, looking at `obj_or_str` logic:
`getattr(obj, attr)` is called. If `obj` is a string, it tries to find the attribute `attr` on that string. That's not what's intended. It should be: if `obj` is a string, return it.
Wait, let's look at the usage in `Account.get_feature_flag()`.
TOOL CALL · run_command
{
"command": "grep -rn \"get_feature_flag\" canvasapi/account.py canvasapi/course.py canvasapi/user.py canvasapi/feature.py"
}Result of run_command 289 characters
{
"status": "ok",
"stdout": "canvasapi/account.py:1091: def get_feature_flag(self, feature, **kwargs):\ncanvasapi/course.py:1315: def get_feature_flag(self, feature, **kwargs):\ncanvasapi/user.py:503: def get_feature_flag(self, feature, **kwargs):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 749 tokens · stopped: STOP
The implementation of `obj_or_str` is currently:
```python
def obj_or_str(obj, attr, object_types):
"""
Accepts an object. If the object has the attribute, return the
corresponding string. Otherwise, throw an exception.
:param obj: object from which to retrieve attribute
:type obj: object
:param attr: name of the attribute to retrieve
:type attr: str
:param object_types: tuple containing the types of the object being passed in
:type object_types: tuple
:rtype: str
"""
try:
return str(getattr(obj, attr))
except (AttributeError, TypeError):
if not isinstance(attr, str):
raise TypeError(
"Atttibute parameter {} must be of type string".format(attr)
)
for obj_type in object_types:
if isinstance(obj, obj_type):
try:
return str(getattr(obj, attr))
except AttributeError:
raise AttributeError("{} object does not have {} attribute").format(
obj, attr
)
obj_type_list = ",".join([obj_type.__name__ for obj_type in object_types])
raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Wait, look at `obj_or_id`:
```python
def obj_or_id(parameter, param_name, object_types):
# ...
try:
return int(parameter)
except (ValueError, TypeError):
# ...
for obj_type in object_types:
if isinstance(parameter, obj_type):
try:
return int(parameter.id)
except Exception:
break
# ...
```
In `obj_or_id`, it first tries to convert `parameter` to `int`. If it succeeds, it’s returned. This allows the user to pass in the ID directly.
In `obj_or_str`, it does `getattr(obj, attr)`. If `obj` is already a string, calling `getattr('some_string', 'some_attr')` will likely fail with `AttributeError` if `some_attr` is not a method of `str`.
The problem statement says: "`obj_or_str` improperly rejects strings".
If the user passes a string, it should probably be returned as is, just like `obj_or_id` returns the `int` if it's passed as an `int`.
So `obj_or_str` should probably check if `obj` is already a string at the beginning.
Wait, looking at `obj_or_str` logic:
`getattr(obj, attr)` is called. If `obj` is a string, it tries to find the attribute `attr` on that string. That's not what's intended. It should be: if `obj` is a string, return it.
Wait, let's look at the usage in `Account.get_feature_flag()`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "get_feature_flag" canvasapi/account.py canvasapi/course.py canvasapi/user.py canvasapi/feature.py<|"|>}<tool_call|><|tool_response>
Turn 5at 80 s62 tokens out5,962 prompt tokens
Let's read `Account.get_feature_flag` in `canvasapi/account.py`.
TOOL CALL · read_file
{
"end_line": 1100,
"filepath": "canvasapi/account.py",
"start_line": 1080
}Result of read_file 957 characters
{
"status": "ok",
"filepath": "canvasapi/account.py",
"content": " :class:`canvasapi.external_tool.ExternalTool`\n \"\"\"\n return PaginatedList(\n ExternalTool,\n self._requester,\n \"GET\",\n \"accounts/{}/external_tools\".format(self.id),\n {\"account_id\": self.id},\n _kwargs=combine_kwargs(**kwargs),\n )\n\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": 1080,
"end_line": 1100,
"total_lines": 1894,
"is_truncated": false
}Generated tokens 62 tokens · stopped: STOP
Let's read `Account.get_feature_flag` in `canvasapi/account.py`.
<channel|><|tool_call>call:read_file{end_line:1100,filepath:<|"|>canvasapi/account.py<|"|>,start_line:1080}<tool_call|><|tool_response>
Turn 6at 82 s52 tokens out6,320 prompt tokens
Need to read more of `get_feature_flag`.
TOOL CALL · read_file
{
"end_line": 1110,
"filepath": "canvasapi/account.py",
"start_line": 1101
}Result of read_file 552 characters
{
"status": "ok",
"filepath": "canvasapi/account.py",
"content": " :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": 1101,
"end_line": 1110,
"total_lines": 1894,
"is_truncated": false
}Generated tokens 52 tokens · stopped: STOP
Need to read more of `get_feature_flag`.
<channel|><|tool_call>call:read_file{end_line:1110,filepath:<|"|>canvasapi/account.py<|"|>,start_line:1101}<tool_call|><|tool_response>
Turn 7at 147 s1,138 tokens out6,561 prompt tokens
Okay, so `Account.get_feature_flag` calls `obj_or_str(feature, "name", (Feature,))`.
If `feature` is a `Feature` object, it should return `feature.name`.
If `feature` is a string, it should return that string.
Currently, if `feature` is a string, `obj_or_str` does:
```python
try:
return str(getattr(obj, attr))
```
where `obj` is a string and `attr` is "name".
`getattr('some_feature_name', 'name')` will raise `AttributeError` because string objects don't have a `name` attribute.
Then it goes to the `except` block:
```python
except (AttributeError, TypeError):
if not isinstance(attr, str):
# ...
for obj_type in object_types:
if isinstance(obj, obj_type):
# ...
# ...
raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Since `obj` (the string) is not an instance of any `obj_type` (which is `(Feature,)`), it raises a `TypeError`.
So the fix is indeed to check if `obj` is already a string at the beginning of `obj_or_str`.
Let's look at `obj_or_id` again:
```python
def obj_or_id(parameter, param_name, object_types):
# ...
try:
return int(parameter)
except (ValueError, TypeError):
# ...
```
It tries to cast to `int` first.
For `obj_or_str`, we should check if it is already a string.
Wait, if it's already a string, we just return it. But what if it's some other type that we can cast to string?
The docstring for `obj_or_id` says: "Accepts either an int (or long or str representation of an integer) or an object."
The docstring for `obj_or_str` (as written) says: "Accepts an object. If the object has the attribute, return the corresponding string. Otherwise, throw an exception."
But the problem statement says: "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`."
So we should probably do something like:
```python
def obj_or_str(obj, attr, object_types):
if isinstance(obj, str):
return obj
# ... existing logic ...
```
Wait, let's check if `obj_or_id` does `isinstance(parameter, int)` or `int(parameter)`. It does `int(parameter)`.
For `obj_or_str`, we probably just want `isinstance(obj, str)`.
Let's double check `obj_or_id` again.
```python
try:
return int(parameter)
except (ValueError, TypeError):
```
If `parameter` is a string "123", `int("123")` returns `123`. This is why it supports "str representation of an integer".
For `obj_or_str`, if the user provides a string, it IS the string we want.
What about the `obj_type` check in `obj_or_str`'s `except` block?
```python
for obj_type in object_types:
if isinstance(obj, obj_type):
try:
return str(getattr(obj, attr))
except AttributeError:
# ...
```
This part is basically what the `try` block at the top was already doing: `str(getattr(obj, attr))`.
Wait, the `try` block at the top:
```python
try:
return str(getattr(obj, attr))
except (AttributeError, TypeError):
```
If `obj` is a `Feature` object and has a `name` attribute, this `try` block succeeds and returns the name.
If `obj` is a string, `getattr(obj, 'name')` fails with `AttributeError`.
So the only thing missing is handling the case where `obj` is already the string we want.
Wait, if I just add `if isinstance(obj, str): return obj` at the top, will that cover everything?
Let's see if there are any other cases.
If `obj` is some other type that should be converted to string? probably not.
Let's verify the `FeatureFlag` methods mentioned.
- `canvasapi.feature.FeatureFlag.delete()`
- `canvasapi.feature.FeatureFlag.set_feature_flag()`
Let's search for those in `canvasapi/feature.py`.
TOOL CALL · run_command
{
"command": "grep -rn \"obj_or_str\" canvasapi/feature.py"
}Result of run_command 256 characters
{
"status": "ok",
"stdout": "2:from canvasapi.util import combine_kwargs, obj_or_str\n71: feature_name = obj_or_str(feature, \"name\", (Feature,))\n103: feature_name = obj_or_str(feature, \"name\", (Feature,))\n",
"stderr": "",
"exit_code": 0
}Generated tokens 1,138 tokens · stopped: STOP
Okay, so `Account.get_feature_flag` calls `obj_or_str(feature, "name", (Feature,))`.
If `feature` is a `Feature` object, it should return `feature.name`.
If `feature` is a string, it should return that string.
Currently, if `feature` is a string, `obj_or_str` does:
```python
try:
return str(getattr(obj, attr))
```
where `obj` is a string and `attr` is "name".
`getattr('some_feature_name', 'name')` will raise `AttributeError` because string objects don't have a `name` attribute.
Then it goes to the `except` block:
```python
except (AttributeError, TypeError):
if not isinstance(attr, str):
# ...
for obj_type in object_types:
if isinstance(obj, obj_type):
# ...
# ...
raise TypeError("Parameter {} must be of type {}.\".format(obj, obj_type_list))
```
Since `obj` (the string) is not an instance of any `obj_type` (which is `(Feature,)`), it raises a `TypeError`.
So the fix is indeed to check if `obj` is already a string at the beginning of `obj_or_str`.
Let's look at `obj_or_id` again:
```python
def obj_or_id(parameter, param_name, object_types):
# ...
try:
return int(parameter)
except (ValueError, TypeError):
# ...
```
It tries to cast to `int` first.
For `obj_or_str`, we should check if it is already a string.
Wait, if it's already a string, we just return it. But what if it's some other type that we can cast to string?
The docstring for `obj_or_id` says: "Accepts either an int (or long or str representation of an integer) or an object."
The docstring for `obj_or_str` (as written) says: "Accepts an object. If the object has the attribute, return the corresponding string. Otherwise, throw an exception."
But the problem statement says: "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`."
So we should probably do something like:
```python
def obj_or_str(obj, attr, object_types):
if isinstance(obj, str):
return obj
# ... existing logic ...
```
Wait, let's check if `obj_or_id` does `isinstance(parameter, int)` or `int(parameter)`. It does `int(parameter)`.
For `obj_or_str`, we probably just want `isinstance(obj, str)`.
Let's double check `obj_or_id` again.
```python
try:
return int(parameter)
except (ValueError, TypeError):
```
If `parameter` is a string "123", `int("123")` returns `123`. This is why it supports "str representation of an integer".
For `obj_or_str`, if the user provides a string, it IS the string we want.
What about the `obj_type` check in `obj_or_str`'s `except` block?
```python
for obj_type in object_types:
if isinstance(obj, obj_type):
try:
return str(getattr(obj, attr))
except AttributeError:
# ...
```
This part is basically what the `try` block at the top was already doing: `str(getattr(obj, attr))`.
Wait, the `try` block at the top:
```python
try:
return str(getattr(obj, attr))
except (AttributeError, TypeError):
```
If `obj` is a `Feature` object and has a `name` attribute, this `try` block succeeds and returns the name.
If `obj` is a string, `getattr(obj, 'name')` fails with `AttributeError`.
So the only thing missing is handling the case where `obj` is already the string we want.
Wait, if I just add `if isinstance(obj, str): return obj` at the top, will that cover everything?
Let's see if there are any other cases.
If `obj` is some other type that should be converted to string? probably not.
Let's verify the `FeatureFlag` methods mentioned.
- `canvasapi.feature.FeatureFlag.delete()`
- `canvasapi.feature.FeatureFlag.set_feature_flag()`
Let's search for those in `canvasapi/feature.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "obj_or_str" canvasapi/feature.py<|"|>}<tool_call|><|tool_response>
Turn 8at 150 s49 tokens out7,805 prompt tokens
Let's examine `canvasapi/feature.py`.
TOOL CALL · read_file
{
"end_line": 110,
"filepath": "canvasapi/feature.py",
"start_line": 60
}Result of read_file 2,227 characters
{
"status": "ok",
"filepath": "canvasapi/feature.py",
"content": "\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),",
"start_line": 60,
"end_line": 110,
"total_lines": 112,
"is_truncated": false
}Generated tokens 49 tokens · stopped: STOP
Let's examine `canvasapi/feature.py`.
<channel|><|tool_call>call:read_file{end_line:110,filepath:<|"|>canvasapi/feature.py<|"|>,start_line:60}<tool_call|><|tool_response>
Turn 9at 183 s463 tokens out8,527 prompt tokens
Wait, I see a potential bug in `canvasapi/feature.py` as well.
In `delete` method:
```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_name` will be that string (after my fix), but `feature._parent_type` and `feature._parent_id` will raise `AttributeError` because `feature` is a string!
Wait, let's look at the existing code's `feature` usage in `delete`.
Actually, `FeatureFlag.delete` is called on a `FeatureFlag` instance (`self` is `FeatureFlag`).
The `feature` parameter to `delete` is:
```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. In `FeatureFlag.delete`, `feature` is passed to `obj_or_str`. But then it's used AS an object to access `_parent_type` and `_parent_id`.
If the user passes a string for `feature`, `feature._parent_type` will fail.
Does `FeatureFlag` have its own `_parent_type` and `_parent_id`?
Let's examine the `FeatureFlag` class definition in `canvasapi/feature.py`.
TOOL CALL · read_file
{
"end_line": 60,
"filepath": "canvasapi/feature.py",
"start_line": 1
}Result of read_file 2,017 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",
"start_line": 1,
"end_line": 60,
"total_lines": 112,
"is_truncated": false
}Generated tokens 463 tokens · stopped: STOP
Wait, I see a potential bug in `canvasapi/feature.py` as well.
In `delete` method:
```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_name` will be that string (after my fix), but `feature._parent_type` and `feature._parent_id` will raise `AttributeError` because `feature` is a string!
Wait, let's look at the existing code's `feature` usage in `delete`.
Actually, `FeatureFlag.delete` is called on a `FeatureFlag` instance (`self` is `FeatureFlag`).
The `feature` parameter to `delete` is:
```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. In `FeatureFlag.delete`, `feature` is passed to `obj_or_str`. But then it's used AS an object to access `_parent_type` and `_parent_id`.
If the user passes a string for `feature`, `feature._parent_type` will fail.
Does `FeatureFlag` have its own `_parent_type` and `_parent_id`?
Let's examine the `FeatureFlag` class definition in `canvasapi/feature.py`.
<channel|><|tool_call>call:read_file{end_line:60,filepath:<|"|>canvasapi/feature.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 10at 223 s660 tokens out9,580 prompt tokens
Okay, so `Feature` has `_parent_id` and `_parent_type` properties. `FeatureFlag` does NOT.
But in `FeatureFlag.delete(self, feature, **kwargs)`, the `feature` parameter is expected to be a `Feature` object or a string.
If it's a `Feature` object, it has `_parent_id` and `_parent_type`.
If it's a string, it doesn't.
WAIT. If `FeatureFlag.delete` is called, how does it know which account/course/user the flag belongs to if `feature` is just a string?
The `FeatureFlag` instance (`self`) must have that information.
Let's look at `FeatureFlag` again.
```python
class FeatureFlag(CanvasObject):
def __str__(self):\n return "{} {} {} {}".format(\n self.context_type, self.context_id, self.feature, self.state\n )
```
It has `context_type` and `context_id`.
Let's look at `FeatureFlag.delete` again.
```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, this code is BUGGY regardless of `obj_or_str`. It's using `feature._parent_type` and `feature._parent_id` instead of `self.context_type` and `self.context_id`.
Actually, if `feature` is a `Feature` object, it might have `_parent_type` and `_parent_id`. But `FeatureFlag` objects also have this information.
Wait, let's look at the `Feature` class. `Feature` is just the definition of the feature, not the flag itself.
`FeatureFlag` is the actual assignment of a feature to a context.
If `FeatureFlag.delete` is called on a `FeatureFlag` object, it should probably use that object's context.
Let's see how `FeatureFlag` is instantiated.
In `Account.get_feature_flag`:
```python
return FeatureFlag(self._requester, response.json())
```
The `response.json()` for a feature flag probably contains the context.
Let's look at `FeatureFlag` properties in `canvasapi/feature.py`. I only saw `__str__`.
I'll read the whole `FeatureFlag` class.
TOOL CALL · read_file
{
"end_line": 112,
"filepath": "canvasapi/feature.py",
"start_line": 43
}Result of read_file 2,909 characters
{
"status": "ok",
"filepath": "canvasapi/feature.py",
"content": " \"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": 43,
"end_line": 112,
"total_lines": 112,
"is_truncated": false
}Generated tokens 660 tokens · stopped: STOP
Okay, so `Feature` has `_parent_id` and `_parent_type` properties. `FeatureFlag` does NOT.
But in `FeatureFlag.delete(self, feature, **kwargs)`, the `feature` parameter is expected to be a `Feature` object or a string.
If it's a `Feature` object, it has `_parent_id` and `_parent_type`.
If it's a string, it doesn't.
WAIT. If `FeatureFlag.delete` is called, how does it know which account/course/user the flag belongs to if `feature` is just a string?
The `FeatureFlag` instance (`self`) must have that information.
Let's look at `FeatureFlag` again.
```python
class FeatureFlag(CanvasObject):
def __str__(self):\n return "{} {} {} {}".format(\n self.context_type, self.context_id, self.feature, self.state\n )
```
It has `context_type` and `context_id`.
Let's look at `FeatureFlag.delete` again.
```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, this code is BUGGY regardless of `obj_or_str`. It's using `feature._parent_type` and `feature._parent_id` instead of `self.context_type` and `self.context_id`.
Actually, if `feature` is a `Feature` object, it might have `_parent_type` and `_parent_id`. But `FeatureFlag` objects also have this information.
Wait, let's look at the `Feature` class. `Feature` is just the definition of the feature, not the flag itself.
`FeatureFlag` is the actual assignment of a feature to a context.
If `FeatureFlag.delete` is called on a `FeatureFlag` object, it should probably use that object's context.
Let's see how `FeatureFlag` is instantiated.
In `Account.get_feature_flag`:
```python
return FeatureFlag(self._requester, response.json())
```
The `response.json()` for a feature flag probably contains the context.
Let's look at `FeatureFlag` properties in `canvasapi/feature.py`. I only saw `__str__`.
I'll read the whole `FeatureFlag` class.
<channel|><|tool_call>call:read_file{end_line:112,filepath:<|"|>canvasapi/feature.py<|"|>,start_line:43}<tool_call|><|tool_response>
Turn 11at 238 s245 tokens out11,105 prompt tokens
Wait, `FeatureFlag.delete(self, feature, **kwargs)` and `FeatureFlag.set_feature_flag(self, feature, **kwargs)` both use `feature._parent_type` and `feature._parent_id`. If the user passes a string for `feature`, it will fail. But the problem statement only asks to fix `obj_or_str`. It doesn't say "fix the whole library's usage of `obj_or_str`". Wait, it says: "Update `obj_or_str` to be more in line with `obj_or_id`." If I only fix `obj_or_str`, then `FeatureFlag.delete` with a string `feature` will still fail, but it will fail at `feature._parent_type` not because `obj_or_str` rejected the string. Let's see if `obj_or_id` is used similarly. I'll search for `obj_or_id` usages.
TOOL CALL · run_command
{
"command": "grep -rn \"obj_or_id\" ."
}Result of run_command 5,194 characters
{
"status": "ok",
"stdout": "./canvasapi/submission.py:6:from canvasapi.util import combine_kwargs, obj_or_id\n./canvasapi/submission.py:36: user_id = obj_or_id(user, \"user\", (User,))\n./canvasapi/submission.py:63: user_id = obj_or_id(user, \"user\", (User,))\n./canvasapi/user.py:17:from canvasapi.util import combine_kwargs, obj_or_id, obj_or_str\n./canvasapi/user.py:197: course_id = obj_or_id(course, \"course\", (Course,))\n./canvasapi/user.py:349: export_id = obj_or_id(content_export, \"content_export\", (ContentExport,))\n./canvasapi/user.py:391: migration_id = obj_or_id(\n./canvasapi/user.py:557: file_id = obj_or_id(file, \"file\", (File,))\n./canvasapi/user.py:618: folder_id = obj_or_id(folder, \"folder\", (Folder,))\n./canvasapi/user.py:869: dest_user_id = obj_or_id(destination_user, \"destination_user\", (User,))\n./canvasapi/poll.py:6:from canvasapi.util import combine_kwargs, obj_or_id\n./canvasapi/poll.py:95: poll_choice_id = obj_or_id(poll_choice, \"poll_choice\", (PollChoice,))\n./canvasapi/poll.py:135: poll_session_id = obj_or_id(poll_session, \"poll_session\", (PollSession,))\n./canvasapi/quiz.py:7:from canvasapi.util import combine_kwargs, obj_or_id\n./canvasapi/quiz.py:242: question_id = obj_or_id(question, \"question\", (QuizQuestion,))\n./canvasapi/quiz.py:312: id = obj_or_id(id, \"id\", (QuizReport,))\n./canvasapi/quiz.py:337: quiz_submission_id = obj_or_id(\n./canvasapi/canvas.py:28:from canvasapi.util import combine_kwargs, get_institution_url, obj_or_id\n./canvasapi/canvas.py:406: account_id = obj_or_id(account, \"account\", (Account,))\n./canvasapi/canvas.py:490: # The type of object in `context_codes` is taken care of by obj_or_id, extracting\n./canvasapi/canvas.py:493: obj_or_id(course_id, \"context_codes\", (Course,))\n./canvasapi/canvas.py:522: appointment_group_id = obj_or_id(\n./canvasapi/canvas.py:578: calendar_event_id = obj_or_id(\n./canvasapi/canvas.py:623: kwargs[\"user_id\"] = obj_or_id(user, \"user\", (User,))\n./canvasapi/canvas.py:645: conversation_id = obj_or_id(conversation, \"conversation\", (Conversation,))\n./canvasapi/canvas.py:691: course_id = obj_or_id(course, \"course\", (Course,))\n./canvasapi/canvas.py:733: course_id = obj_or_id(course, \"course\", (Course,))\n./canvasapi/canvas.py:797: eportfolio_id = obj_or_id(eportfolio, \"eportfolio\", (EPortfolio,))\n./canvasapi/canvas.py:838: file_id = obj_or_id(file, \"file\", (File,))\n./canvasapi/canvas.py:857: folder_id = obj_or_id(folder, \"folder\", (Folder,))\n./canvasapi/canvas.py:886: group_id = obj_or_id(group, \"group\", (Group,))\n./canvasapi/canvas.py:906: category_id = obj_or_id(category, \"category\", (GroupCategory,))\n./canvasapi/canvas.py:927: appointment_group_id = obj_or_id(\n./canvasapi/canvas.py:952: outcome_id = obj_or_id(outcome, \"outcome\", (Outcome,))\n./canvasapi/canvas.py:971: outcome_group_id = obj_or_id(group, \"group\", (OutcomeGroup,))\n./canvasapi/canvas.py:994: planner_note_id = obj_or_id(planner_note, \"planner_note\", (PlannerNote,))\n./canvasapi/canvas.py:1041: planner_override_id = obj_or_id(\n./canvasapi/canvas.py:1086: poll_id = obj_or_id(poll, \"poll\", (Poll,))\n./canvasapi/canvas.py:1124: progress_id = obj_or_id(progress, \"progress\", (Progress,))\n./canvasapi/canvas.py:1165: section_id = obj_or_id(section, \"section\", (Section,))\n./canvasapi/canvas.py:1229: user_id = obj_or_id(user, \"user\", (User,))\n./canvasapi/canvas.py:1249: appointment_group_id = obj_or_id(\n./canvasapi/canvas.py:1326: calendar_event_id = obj_or_id(\n./canvasapi/canvas.py:1407: course_id = obj_or_id(course, \"course\", (Course,))\n./canvasapi/content_migration.py:3:from canvasapi.util import combine_kwargs, obj_or_id\n./canvasapi/content_migration.py:78: migration_issue_id = obj_or_id(\n./canvasapi/folder.py:4:from canvasapi.util import combine_kwargs, obj_or_id\n./canvasapi/folder.py:25: file_id = obj_or_id(source_file, \"source_file\", (File,))\n./canvasapi/outcome.py:3:from canvasapi.util import combine_kwargs, obj_or_id\n./canvasapi/outcome.py:210: source_outcome_group_id = obj_or_id(\n./canvasapi/outcome.py:240: outcome_id = obj_or_id(outcome, \"outcome\", (Outcome,))\n./canvasapi/outcome.py:297: outcome_id = obj_or_id(outcome, \"outcome\", (Outcome,))\n./canvasapi/group.py:12:from canvasapi.util import combine_kwargs, is_multivalued, obj_or_id\n./canvasapi/group.py:124: user_id = obj_or_id(user, \"user\", (User,))\n./canvasapi/group.py:190: feed_id = obj_or_id(feed, \"feed\", (ExternalFeed,))\n./canvasapi/group.py:287: assignment_id = obj_or_id(assignment, \"assignment\", (Assignment,))\n./canvasapi/group.py:329: export_id = obj_or_id(content_export, \"content_export\", (ContentExport,))\n./canvasapi/group.py:373: migration_id = obj_or_id(\n./canvasapi/group.py:421: top",
"stderr": "",
"exit_code": 0
}Generated tokens 245 tokens · stopped: STOP
Wait, `FeatureFlag.delete(self, feature, **kwargs)` and `FeatureFlag.set_feature_flag(self, feature, **kwargs)` both use `feature._parent_type` and `feature._parent_id`.
If the user passes a string for `feature`, it will fail.
But the problem statement only asks to fix `obj_or_str`. It doesn't say "fix the whole library's usage of `obj_or_str`".
Wait, it says: "Update `obj_or_str` to be more in line with `obj_or_id`."
If I only fix `obj_or_str`, then `FeatureFlag.delete` with a string `feature` will still fail, but it will fail at `feature._parent_type` not because `obj_or_str` rejected the string.
Let's see if `obj_or_id` is used similarly.
I'll search for `obj_or_id` usages.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "obj_or_id" .<|"|>}<tool_call|><|tool_response>
Turn 12at 325 s1,272 tokens out13,269 prompt tokens
In all these cases, `obj_or_id` returns an `int` which is then used in a URL format string.
For example: `".../accounts/{}/...".format(account_id)`.
In `FeatureFlag.delete`, the problem is that `feature` is used for BOTH `feature_name` (via `obj_or_str`) AND `feature._parent_type`/`feature._parent_id`.
```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),
)
```
If `feature` is a string, `obj_or_str` will return it (after my fix), but `feature._parent_type` will fail.
This looks like a bug in `canvasapi/feature.py` that might be unrelated to the `obj_or_str` bug, but it makes the `obj_or_str` fix partially useless for `FeatureFlag.delete` if the user passes a string.
HOWEVER, let's look at `Account.get_feature_flag`:
```python
def get_feature_flag(self, feature, **kwargs):
# ...
feature_name = obj_or_str(feature, "name", (Feature,))
response = self._requester.request(
"GET",
"accounts/{}/features/flags/{}".format(self.id, feature_name),
_kwargs=combine_kwargs(**kwargs),
)
return FeatureFlag(self._requester, response.json())
```
Here, `self.id` is used, so it doesn't depend on `feature` being an object. This one will be fixed by my `obj_or_str` change.
Same for `Course.get_feature_flag` and `User.get_feature_flag`.
As for `FeatureFlag.delete` and `set_feature_flag`, maybe they are intended to only be called with `Feature` objects? The docstring for `set_feature_flag` says:
`:param feature: The feature object to set`
`:type feature: :class:`canvasapi.feature.Feature``
It doesn't say `str`.
But the problem statement explicitly mentions:
- `canvasapi.feature.FeatureFlag.delete()`
- `canvasapi.feature.FeatureFlag.set_feature_flag()`
as functions that use `obj_or_str` and should respect strings.
If I'm supposed to make them respect strings, I MUST fix the `FeatureFlag.delete/set_feature_flag` methods too.
Wait, how can `FeatureFlag.delete` know the parent if only a string identifier for the feature is provided?
`self` is the `FeatureFlag` object.
Does `FeatureFlag` have the parent info?
Yes, I saw `self.context_type` and `self.context_id` in `__str__`.
So `feature._parent_type` should probably be `self.context_type` and `feature._parent_id` should be `self.context_id`.
Let's check if `FeatureFlag` has `context_type` and `context_id` passed to it in `__init__` (which is handled by `CanvasObject`).
`CanvasObject` just takes the response JSON.
If the response JSON from Canvas for a feature flag contains `context_type` and `context_id`, then `self.context_type` and `self.context_id` will be available.
Let's verify if `FeatureFlag` actually uses `context_type` and `context_id` in `__str__`.
```python
def __str__(self):\n return "{} {} {} {}".format(\n self.context_type, self.context_id, self.feature, self.state\n )
```
Yes it does.
So, the correct implementation for `FeatureFlag.delete` should be:
```python
feature_name = obj_or_str(feature, "name", (Feature,))
response = self._requester.request(
"DELETE",
"{}s/{}/features/flags/{}".format(
self.context_type, self.context_id, feature_name
),
_kwargs=combine_kwargs(**kwargs),
)
```
And same for `set_feature_flag`.
Wait, let's double check if `feature` (the parameter) could also be a `Feature` object that has different parent info than `self`.
That seems unlikely. `self` is the `FeatureFlag` object, which is a flag for a specific feature in a specific context.
Wait, let's look at `Feature` class again.
```python
class Feature(CanvasObject):
# ...
@property
def _parent_id(self):
# ...
```
The `Feature` object itself seems to be tied to a parent? That's strange. Usually, a `Feature` is a global definition, and `FeatureFlag` is the instance.
If `Feature` is a `CanvasObject`, it probably represents the feature definition.
But the `_parent_id` property suggests it knows who it was spawned from.
Let's see where `Feature` objects are created.
I'll search for where `Feature` is instantiated.
TOOL CALL · run_command
{
"command": "grep -rn \"Feature(\" canvasapi/"
}Result of run_command 113 characters
{
"status": "ok",
"stdout": "canvasapi/feature.py:5:class Feature(CanvasObject):\n",
"stderr": "",
"exit_code": 0
}Generated tokens 1,272 tokens · stopped: STOP
In all these cases, `obj_or_id` returns an `int` which is then used in a URL format string.
For example: `".../accounts/{}/...".format(account_id)`.
In `FeatureFlag.delete`, the problem is that `feature` is used for BOTH `feature_name` (via `obj_or_str`) AND `feature._parent_type`/`feature._parent_id`.
```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),
)
```
If `feature` is a string, `obj_or_str` will return it (after my fix), but `feature._parent_type` will fail.
This looks like a bug in `canvasapi/feature.py` that might be unrelated to the `obj_or_str` bug, but it makes the `obj_or_str` fix partially useless for `FeatureFlag.delete` if the user passes a string.
HOWEVER, let's look at `Account.get_feature_flag`:
```python
def get_feature_flag(self, feature, **kwargs):
# ...
feature_name = obj_or_str(feature, "name", (Feature,))
response = self._requester.request(
"GET",
"accounts/{}/features/flags/{}".format(self.id, feature_name),
_kwargs=combine_kwargs(**kwargs),
)
return FeatureFlag(self._requester, response.json())
```
Here, `self.id` is used, so it doesn't depend on `feature` being an object. This one will be fixed by my `obj_or_str` change.
Same for `Course.get_feature_flag` and `User.get_feature_flag`.
As for `FeatureFlag.delete` and `set_feature_flag`, maybe they are intended to only be called with `Feature` objects? The docstring for `set_feature_flag` says:
`:param feature: The feature object to set`
`:type feature: :class:`canvasapi.feature.Feature``
It doesn't say `str`.
But the problem statement explicitly mentions:
- `canvasapi.feature.FeatureFlag.delete()`
- `canvasapi.feature.FeatureFlag.set_feature_flag()`
as functions that use `obj_or_str` and should respect strings.
If I'm supposed to make them respect strings, I MUST fix the `FeatureFlag.delete/set_feature_flag` methods too.
Wait, how can `FeatureFlag.delete` know the parent if only a string identifier for the feature is provided?
`self` is the `FeatureFlag` object.
Does `FeatureFlag` have the parent info?
Yes, I saw `self.context_type` and `self.context_id` in `__str__`.
So `feature._parent_type` should probably be `self.context_type` and `feature._parent_id` should be `self.context_id`.
Let's check if `FeatureFlag` has `context_type` and `context_id` passed to it in `__init__` (which is handled by `CanvasObject`).
`CanvasObject` just takes the response JSON.
If the response JSON from Canvas for a feature flag contains `context_type` and `context_id`, then `self.context_type` and `self.context_id` will be available.
Let's verify if `FeatureFlag` actually uses `context_type` and `context_id` in `__str__`.
```python
def __str__(self):\n return "{} {} {} {}".format(\n self.context_type, self.context_id, self.feature, self.state\n )
```
Yes it does.
So, the correct implementation for `FeatureFlag.delete` should be:
```python
feature_name = obj_or_str(feature, "name", (Feature,))
response = self._requester.request(
"DELETE",
"{}s/{}/features/flags/{}".format(
self.context_type, self.context_id, feature_name
),
_kwargs=combine_kwargs(**kwargs),
)
```
And same for `set_feature_flag`.
Wait, let's double check if `feature` (the parameter) could also be a `Feature` object that has different parent info than `self`.
That seems unlikely. `self` is the `FeatureFlag` object, which is a flag for a specific feature in a specific context.
Wait, let's look at `Feature` class again.
```python
class Feature(CanvasObject):
# ...
@property
def _parent_id(self):
# ...
```
The `Feature` object itself seems to be tied to a parent? That's strange. Usually, a `Feature` is a global definition, and `FeatureFlag` is the instance.
If `Feature` is a `CanvasObject`, it probably represents the feature definition.
But the `_parent_id` property suggests it knows who it was spawned from.
Let's see where `Feature` objects are created.
I'll search for where `Feature` is instantiated.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "Feature(" canvasapi/<|"|>}<tool_call|><|tool_response>
Turn 13at 346 s304 tokens out14,596 prompt tokens
That just found the class definition. Let's search for `Feature(` excluding the class definition.
Actually, maybe I should just look at how it's used.
Regardless, the problem statement specifically says: "Update `obj_or_str` to be more in line with `obj_or_id`."
And "It looks like `obj_or_str` has limited reach - only on functions related to `canvasapi.feature.FeatureFlag` objects".
My first priority is fixing `obj_or_str` in `canvasapi/util.py`.
Then I should check if I need to fix the call sites.
Let's reproduce the bug first.
If I call `obj_or_str("some_feature", "name", (Feature,))`, it should return `"some_feature"`.
I'll create a reproduction script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom canvasapi.util import obj_or_str\n\nclass Feature:\n def __init__(self, name):\n self.name = name\n\ntry:\n result = obj_or_str(\"my_feature\", \"name\", (Feature,))\n print(f\"Result: {result}\")\nexcept Exception as e:\n print(f\"Caught exception: {type(e).__name__}: {e}\")\nPY\n"
}Result of run_command 136 characters
{
"status": "ok",
"stdout": "Caught exception: TypeError: Parameter my_feature must be of type Feature.\n",
"stderr": "",
"exit_code": 0
}Generated tokens 304 tokens · stopped: STOP
That just found the class definition. Let's search for `Feature(` excluding the class definition.
Actually, maybe I should just look at how it's used.
Regardless, the problem statement specifically says: "Update `obj_or_str` to be more in line with `obj_or_id`."
And "It looks like `obj_or_str` has limited reach - only on functions related to `canvasapi.feature.FeatureFlag` objects".
My first priority is fixing `obj_or_str` in `canvasapi/util.py`.
Then I should check if I need to fix the call sites.
Let's reproduce the bug first.
If I call `obj_or_str("some_feature", "name", (Feature,))`, it should return `"some_feature"`.
I'll create a reproduction script.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from canvasapi.util import obj_or_str
class Feature:
def __init__(self, name):
self.name = name
try:
result = obj_or_str("my_feature", "name", (Feature,))
print(f"Result: {result}")
except Exception as e:
print(f"Caught exception: {type(e).__name__}: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 14at 444 s324 tokens out6,248 prompt tokens
Confirming the bug in `obj_or_str`. Now let's see if `FeatureFlag.delete` is broken when `feature` is a string. I need a `FeatureFlag` object. I'll mock it.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom canvasapi.feature import FeatureFlag\nfrom unittest.mock import MagicMock\n\nmock_requester = MagicMock()\n# We need to simulate the response for the FeatureFlag init\nmock_response = MagicMock()\nmock_response.json.return_value = {\n \"context_type\": \"account\",\n \"context_id\": \"1\",\n \"feature\": \"some_feature\",\n \"state\": \"enabled\"\n}\n\nff = FeatureFlag(mock_requester, mock_response)\n\ntry:\n # This should use obj_or_str for the \"feature\" argument\n ff.delete(\"some_feature\")\n print(\"Successfully called delete with string\")\nexcept Exception as e:\n print(f\"Caught exception during delete: {type(e).__name__}: {e}\")\n\ntry:\n ff.set_feature_flag(\"some_feature\", True)\n print(\"Successfully called set_feature_flag with string\")\nexcept Exception as e:\n print(f\"Caught exception during set_feature_flag: {type(e).__name__}: {e}\")\nPY\n"
}Result of run_command 283 characters
{
"status": "ok",
"stdout": "Caught exception during delete: TypeError: Parameter some_feature must be of type Feature.\nCaught exception during set_feature_flag: TypeError: FeatureFlag.set_feature_flag() takes 2 positional arguments but 3 were given\n",
"stderr": "",
"exit_code": 0
}Generated tokens 324 tokens · stopped: STOP
Confirming the bug in `obj_or_str`.
Now let's see if `FeatureFlag.delete` is broken when `feature` is a string.
I need a `FeatureFlag` object. I'll mock it.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from canvasapi.feature import FeatureFlag
from unittest.mock import MagicMock
mock_requester = MagicMock()
# We need to simulate the response for the FeatureFlag init
mock_response = MagicMock()
mock_response.json.return_value = {
"context_type": "account",
"context_id": "1",
"feature": "some_feature",
"state": "enabled"
}
ff = FeatureFlag(mock_requester, mock_response)
try:
# This should use obj_or_str for the "feature" argument
ff.delete("some_feature")
print("Successfully called delete with string")
except Exception as e:
print(f"Caught exception during delete: {type(e).__name__}: {e}")
try:
ff.set_feature_flag("some_feature", True)
print("Successfully called set_feature_flag with string")
except Exception as e:
print(f"Caught exception during set_feature_flag: {type(e).__name__}: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 15at 449 s74 tokens out6,660 prompt tokens
Wait, `set_feature_flag` had a different error: `TypeError: FeatureFlag.set_feature_flag() takes 2 positional arguments but 3 were given`. Let's check the signature of `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 74 tokens · stopped: STOP
Wait, `set_feature_flag` had a different error: `TypeError: FeatureFlag.set_feature_flag() takes 2 positional arguments but 3 were given`.
Let's check the signature of `set_feature_flag`.
<channel|><|tool_call>call:read_file{filepath:<|"|>canvasapi/feature.py<|"|>}<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.
[ 18.5s] 💭 (1058 chars) "The user wants me to fix a bug in the `obj_or_str` utility function in the `canvasapi`
library.
The `obj_or_str` functio..."
[ 18.5s] 🔧 run_command grep -rn --include="*.py" -e "def obj_or_id" -e "def obj_or_str"
[ 18.5s] → canvasapi/util.py:101:def obj_or_id(parameter, param_name, object_types):
[ 23.2s] 💭 (116 chars) "Okay, both are in `canvasapi/util.py`. Let's read the implementations of these two functions
in `canvasapi/util.py`."
[ 23.2s] 📖 read_file (canvasapi/util.py)
[ 23.3s] ✓ {'status': 'ok', 'filepath': 'canvasapi/util.py', 'content': '\ndef obj_or_id(parameter, param_name,
object_types):\n …
[ 31.3s] 💭 (153 chars) "Wait, `read_file` cut off `obj_or_str` it seems? no, it ended at line 150 and `obj_or_str`
started at 136. Let's see the..."
[ 31.3s] 📖 read_file (canvasapi/util.py)
[ 31.3s] ✓ {'status': 'ok', 'filepath': 'canvasapi/util.py', 'content': '\ndef obj_or_str(obj, attr,
object_types):\n """\n A…
[ 75.5s] 💭 (2618 chars) "The implementation of `obj_or_str` is currently:
```python
def obj_or_str(obj, attr, object_types):
"""
Accepts..."
[ 75.5s] 🔧 run_command grep -rn "get_feature_flag" canvasapi/account.py canvasapi/course.py canvasapi/u
[ 75.6s] → canvasapi/account.py:1091: def get_feature_flag(self, feature, **kwargs):
[ 79.2s] 💭 (64 chars) "Let's read `Account.get_feature_flag` in `canvasapi/account.py`."
[ 79.2s] 📖 read_file (canvasapi/account.py)
[ 79.3s] ✓ {'status': 'ok', 'filepath': 'canvasapi/account.py', 'content': '
:class:`canvasapi.external_tool.ExternalToo…
[ 81.4s] 💭 (40 chars) "Need to read more of `get_feature_flag`."
[ 81.4s] 📖 read_file (canvasapi/account.py)
[ 81.5s] ✓ {'status': 'ok', 'filepath': 'canvasapi/account.py', 'content': ' :rtype:
:class:`canvasapi.feature.FeatureFlag`\…
[ 146.5s] 💭 (3802 chars) "Okay, so `Account.get_feature_flag` calls `obj_or_str(feature, "name", (Feature,))`.
If `feature` is a `Feature` object,..."
[ 146.5s] 🔧 run_command grep -rn "obj_or_str" canvasapi/feature.py
[ 146.6s] → 2:from canvasapi.util import combine_kwargs, obj_or_str
[ 149.6s] 💭 (37 chars) "Let's examine `canvasapi/feature.py`."
[ 149.6s] 📖 read_file (canvasapi/feature.py)
[ 149.7s] ✓ {'status': 'ok', 'filepath': 'canvasapi/feature.py', 'content': '\n or `DELETE
/api/v1/accounts/:account_id/f…
[ 182.1s] 💭 (1514 chars) "Wait, I see a potential bug in `canvasapi/feature.py` as well.
In `delete` method:
```python
response = self._re..."
[ 182.1s] 📖 read_file (canvasapi/feature.py)
[ 182.1s] ✓ {'status': 'ok', 'filepath': 'canvasapi/feature.py', 'content': 'from canvasapi.canvas_object import
CanvasObject\nfrom …
[ 222.6s] 💭 (2169 chars) "Okay, so `Feature` has `_parent_id` and `_parent_type` properties. `FeatureFlag` does NOT.
But in `FeatureFlag.delete(se..."
[ 222.6s] 📖 read_file (canvasapi/feature.py)
[ 222.7s] ✓ {'status': 'ok', 'filepath': 'canvasapi/feature.py', 'content': ' "Feature Flag does not
have account_id,…
[ 237.6s] 💭 (687 chars) "Wait, `FeatureFlag.delete(self, feature, **kwargs)` and `FeatureFlag.set_feature_flag(self,
feature, **kwargs)` both use..."
[ 237.6s] 🔧 run_command grep -rn "obj_or_id" .
[ 237.7s] → ./canvasapi/submission.py:6:from canvasapi.util import combine_kwargs, obj_or_id
[ 323.9s] 💭 (4399 chars) "In all these cases, `obj_or_id` returns an `int` which is then used in a URL format string.
For example: `".../accounts/..."
[ 323.9s] 🔧 run_command grep -rn "Feature(" canvasapi/
[ 323.9s] → canvasapi/feature.py:5:class Feature(CanvasObject):
[ 345.2s] 💭 (668 chars) "That just found the class definition. Let's search for `Feature(` excluding the class
definition.
Actually, maybe I shou..."
[ 345.2s] 🔧 run_command (13 lines) python3 - <<'PY'
[ 345.6s] → Caught exception: TypeError: Parameter my_feature must be of type Feature.
[ 443.5s] 💭 (157 chars) "Confirming the bug in `obj_or_str`.
Now let's see if `FeatureFlag.delete` is broken when `feature` is a string.
I need ..."
[ 443.5s] 🔧 run_command (29 lines) python3 - <<'PY'
[ 443.8s] → Caught exception during delete: TypeError: Parameter some_feature must be of type Feature.
[ 448.1s] 💭 (187 chars) "Wait, `set_feature_flag` had a different error: `TypeError: FeatureFlag.set_feature_flag()
takes 2 positional arguments ..."
[ 448.1s] 📖 read_file (canvasapi/feature.py)
[ 448.1s] ✓ {'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__r5.jsonl",
"resolved": false,
"rollout_idx": 5,
"run_key": "ucfopen__canvasapi-716__p0__r5",
"strict_clean_patch": false,
"tool_calls": 15,
"total_llm_calls": 15,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_ucfopen__canvasapi-716__p0__r5.json"
}