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ROLLOUT 2 · jazzband/tablib

jazzband__tablib-613

Not solved

457 stotal time

18tool calls

18model calls

7,300tokens generated

151,602prompt tokens read

Test failures/errors recorded in JUnit XML (failures=1, errors=0)

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 2,358 characters

You are evaluating a software engineering task for repository jazzband/tablib.

Problem Statement:
ODS loading issue - ValueError: 'value' is not in list
When saving data containing the empty string to ODS format, the resulting ODS file is not loadable by tablib. The code below reproduces the problem.

```python
book = tablib.Databook()
book.load(
tablib.Databook(sets=[tablib.Dataset(("",))]).export("ods"),
format="ods",
)
```

If the empty string is replaced with `None` the problem does not occur.

Would it be possible for tablib to handle this situation in a more robust manner?

## 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
./CODE_OF_CONDUCT.md
./HISTORY.md
./LICENSE
./README.md
./RELEASING.md
./docs
./pyproject.toml
./pytest.ini
./src
./src/tablib
./src/tablib/__init__.py
./src/tablib/_vendor
./src/tablib/core.py
./src/tablib/exceptions.py
./src/tablib/formats
./src/tablib/utils.py
./tests
./tox.ini
```

Turn 1at 19 s252 tokens out2,641 prompt tokens

The user describes an issue when loading an ODS file that was exported with empty strings.
The reproduction code is:
```python
import tablib
book = tablib.Databook()
book.load(
    tablib.Databook(sets=[tablib.Dataset(("",))]).export("ods"),
    format="ods",
)
```
This results in a `ValueError: 'value' is not in list`.

I need to:
1. Reproduce this on the current codebase.
2. Find the code responsible for ODS loading.
3. Fix the bug.
4. Verify the fix.

Let's start by reproducing the bug.

TOOL CALL · run_command

{
  "command": "python3 - <<'PY'\nimport tablib\ntry:\n    book = tablib.Databook()\n    book.load(\n        tablib.Databook(sets=[tablib.Dataset((\"\",))]).export(\"ods\"),\n        format=\"ods\",\n    )\n    print(\"Success\")\nexcept Exception as e:\n    import traceback\n    traceback.print_exc()\nPY\n"
}

Result of run_command 1,071 characters

{
  "status": "ok",
  "stdout": "",
  "stderr": "Traceback (most recent call last):\n  File \"<stdin>\", line 4, in <module>\n  File \"/tablib/src/tablib/core.py\", line 903, in load\n    fmt.import_book(self, stream, **kwargs)\n  File \"/tablib/src/tablib/formats/_ods.py\", line 195, in import_book\n    cls.import_sheet(dset, sheet, headers)\n  File \"/tablib/src/tablib/formats/_ods.py\", line 121, in import_sheet\n    row_vals = [cls.read_cell(cell) for cell in row.childNodes if is_real_cell(cell)]\n  File \"/tablib/src/tablib/formats/_ods.py\", line 121, in <listcomp>\n    row_vals = [cls.read_cell(cell) for cell in row.childNodes if is_real_cell(cell)]\n  File \"/tablib/src/tablib/formats/_ods.py\", line 168, in read_cell\n    value = cls.read_cell(subnode, value_type)\n  File \"/tablib/src/tablib/formats/_ods.py\", line 158, in read_cell\n    value = cell.getAttribute('value')\n  File \"/usr/local/lib/python3.10/site-packages/odf/element.py\", line 547, in getAttribute\n    i = allowed_args.index(attr)\nValueError: 'value' is not in list\n",
  "exit_code": 0
}

Generated tokens 252 tokens · stopped: STOP

<|channel>thought The user describes an issue when loading an ODS file that was exported with empty strings. The reproduction code is: ```python import tablib book = tablib.Databook() book.load( tablib.Databook(sets=[tablib.Dataset(("",))]).export("ods"), format="ods", ) ``` This results in a `ValueError: 'value' is not in list`. I need to: 1. Reproduce this on the current codebase. 2. Find the code responsible for ODS loading. 3. Fix the bug. 4. Verify the fix. Let's start by reproducing the bug.<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY' import tablib try: book = tablib.Databook() book.load( tablib.Databook(sets=[tablib.Dataset(("",))]).export("ods"), format="ods", ) print("Success") except Exception as e: import traceback traceback.print_exc() PY <|"|>}<tool_call|><|tool_response>

Turn 2at 37 s279 tokens out3,314 prompt tokens

The error is `ValueError: 'value' is not in list` coming from `odf/element.py` (of the `odfpy` library, which seems to be a dependency).
The traceback in `tablib` is:
`/tablib/src/tablib/formats/_ods.py`, line 168, in `read_cell`
`value = cls.read_cell(subnode, value_type)`
`/tablib/src/tablib/formats/_ods.py`, line 158, in `read_cell`
`value = cell.getAttribute('value')`

Wait, the traceback says `/tablib/src/tablib/formats/_ods.py`. Let me check the actual path in `/workspace`.
The workspace layout showed `src/tablib/formats`.
Let's check `src/tablib/formats/_ods.py`.

Wait, the traceback shows `/tablib/src/tablib/formats/_ods.py`. I suspect the environment might have the code installed in `/tablib` or similar, but my workspace is `/workspace`.

Let me check the contents of `src/tablib/formats`.

TOOL CALL · run_command

{
  "command": "ls src/tablib/formats"
}

Result of run_command 205 characters

{
  "status": "ok",
  "stdout": "__init__.py\n_cli.py\n_csv.py\n_dbf.py\n_df.py\n_html.py\n_jira.py\n_json.py\n_latex.py\n_ods.py\n_rst.py\n_tsv.py\n_xls.py\n_xlsx.py\n_yaml.py\n",
  "stderr": "",
  "exit_code": 0
}

Generated tokens 279 tokens · stopped: STOP

The error is `ValueError: 'value' is not in list` coming from `odf/element.py` (of the `odfpy` library, which seems to be a dependency). The traceback in `tablib` is: `/tablib/src/tablib/formats/_ods.py`, line 168, in `read_cell` `value = cls.read_cell(subnode, value_type)` `/tablib/src/tablib/formats/_ods.py`, line 158, in `read_cell` `value = cell.getAttribute('value')` Wait, the traceback says `/tablib/src/tablib/formats/_ods.py`. Let me check the actual path in `/workspace`. The workspace layout showed `src/tablib/formats`. Let's check `src/tablib/formats/_ods.py`. Wait, the traceback shows `/tablib/src/tablib/formats/_ods.py`. I suspect the environment might have the code installed in `/tablib` or similar, but my workspace is `/workspace`. Let me check the contents of `src/tablib/formats`. <channel|><|tool_call>call:run_command{command:<|"|>ls src/tablib/formats<|"|>}<tool_call|><|tool_response>

Turn 3at 47 s85 tokens out3,721 prompt tokens

Okay, it's `src/tablib/formats/_ods.py`.
Now let's examine the `read_cell` method in `src/tablib/formats/_ods.py`.

TOOL CALL · read_file

{
  "end_line": 180,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 140
}

Result of read_file 1,824 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "content": "            value_type = cell.getAttribute('valuetype')\n        if value_type == 'date':\n            date_value = cell.getAttribute('datevalue')\n            if date_value:\n                return convert_date(date_value)\n        if value_type == 'time':\n            time_value = cell.getAttribute('timevalue')\n            try:\n                return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time()\n            except ValueError:\n                # backwards compatibility for times exported with older tablib versions\n                return dt.datetime.strptime(time_value, \"%H:%M:%S\").time()\n        if value_type == 'boolean':\n            bool_value = cell.getAttribute('booleanvalue')\n            return bool_value == 'true'\n        if not cell.childNodes:\n            value = getattr(cell, 'data', None)\n            if value is None:\n                value = cell.getAttribute('value')\n            if value is None:\n                return ''\n            if value_type == 'float':\n                return float(value)\n            if value_type == 'date':\n                return convert_date(value)\n            return value  # Any other type default to 'string'\n\n        for subnode in cell.childNodes:\n            value = cls.read_cell(subnode, value_type)\n            if value:\n                return value\n\n    @classmethod\n    def import_set(cls, dset, in_stream, headers=True, skip_lines=0):\n        \"\"\"Populate dataset `dset` from ODS stream.\"\"\"\n\n        dset.wipe()\n\n        ods_book = opendocument.load(in_stream)\n        for sheet in ods_book.spreadsheet.childNodes:\n            if sheet.qname[1] == 'table':",
  "start_line": 140,
  "end_line": 180,
  "total_lines": 249,
  "is_truncated": false
}

Generated tokens 85 tokens · stopped: STOP

Okay, it's `src/tablib/formats/_ods.py`. Now let's examine the `read_cell` method in `src/tablib/formats/_ods.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:140,end_line:180}<tool_call|><|tool_response>

Turn 4at 69 s340 tokens out4,319 prompt tokens

The traceback said:
```
  File "/tablib/src/tablib/formats/_ods.py", line 168, in read_cell
    value = cls.read_cell(subnode, value_type)
  File "/tablib/src/tablib/formats/_ods.py", line 158, in read_cell
    value = cell.getAttribute('value')
```

Looking at the code I just read:
Lines 155-163:
```python
        if not cell.childNodes:
            value = getattr(cell, 'data', None)
            if value is None:
                value = cell.getAttribute('value')
            if value is None:
                return ''
```
Lines 165-168:
```python
        for subnode in cell.childNodes:
            value = cls.read_cell(subnode, value_type)
            if value:
                return value
```

Wait, the recursive call `cls.read_cell(subnode, value_type)` is happening.
And `read_cell` takes `cell` (and optionally `value_type`).
But the definition of `read_cell` that I see (implicitly from the context) doesn't seem to show the arguments. Let me read the start of `read_cell`.

TOOL CALL · read_file

{
  "end_line": 160,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 140
}

Result of read_file 1,125 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "content": "            value_type = cell.getAttribute('valuetype')\n        if value_type == 'date':\n            date_value = cell.getAttribute('datevalue')\n            if date_value:\n                return convert_date(date_value)\n        if value_type == 'time':\n            time_value = cell.getAttribute('timevalue')\n            try:\n                return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time()\n            except ValueError:\n                # backwards compatibility for times exported with older tablib versions\n                return dt.datetime.strptime(time_value, \"%H:%M:%S\").time()\n        if value_type == 'boolean':\n            bool_value = cell.getAttribute('booleanvalue')\n            return bool_value == 'true'\n        if not cell.childNodes:\n            value = getattr(cell, 'data', None)\n            if value is None:\n                value = cell.getAttribute('value')\n            if value is None:\n                return ''",
  "start_line": 140,
  "end_line": 160,
  "total_lines": 249,
  "is_truncated": false
}

Generated tokens 340 tokens · stopped: STOP

The traceback said: ``` File "/tablib/src/tablib/formats/_ods.py", line 168, in read_cell value = cls.read_cell(subnode, value_type) File "/tablib/src/tablib/formats/_ods.py", line 158, in read_cell value = cell.getAttribute('value') ``` Looking at the code I just read: Lines 155-163: ```python if not cell.childNodes: value = getattr(cell, 'data', None) if value is None: value = cell.getAttribute('value') if value is None: return '' ``` Lines 165-168: ```python for subnode in cell.childNodes: value = cls.read_cell(subnode, value_type) if value: return value ``` Wait, the recursive call `cls.read_cell(subnode, value_type)` is happening. And `read_cell` takes `cell` (and optionally `value_type`). But the definition of `read_cell` that I see (implicitly from the context) doesn't seem to show the arguments. Let me read the start of `read_cell`. <channel|><|tool_call>call:read_file{end_line:160,filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:140}<tool_call|><|tool_response>

Turn 5at 72 s54 tokens out4,974 prompt tokens

I need to see the signature of `read_cell`.

TOOL CALL · read_file

{
  "end_line": 150,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 130
}

Result of read_file 1,011 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "content": "\n    @classmethod\n    def read_cell(cls, cell, value_type=None):\n        def convert_date(val):\n            if 'T' in val:\n                return dt.datetime.strptime(val, \"%Y-%m-%dT%H:%M:%S\")\n            else:\n                return dt.datetime.strptime(val, \"%Y-%m-%d\").date()\n\n        if value_type is None:\n            value_type = cell.getAttribute('valuetype')\n        if value_type == 'date':\n            date_value = cell.getAttribute('datevalue')\n            if date_value:\n                return convert_date(date_value)\n        if value_type == 'time':\n            time_value = cell.getAttribute('timevalue')\n            try:\n                return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time()\n            except ValueError:\n                # backwards compatibility for times exported with older tablib versions",
  "start_line": 130,
  "end_line": 150,
  "total_lines": 249,
  "is_truncated": false
}

Generated tokens 54 tokens · stopped: STOP

I need to see the signature of `read_cell`. <channel|><|tool_call>call:read_file{end_line:150,filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:130}<tool_call|><|tool_response>

Turn 6at 182 s1,723 tokens out5,336 prompt tokens

Okay, so `read_cell(cls, cell, value_type=None)`.

The issue is that `cell.getAttribute('value')` is called, and it raises `ValueError: 'value' is not in list`.
This means `odfpy`'s `getAttribute` doesn't handle missing attributes by returning `None` (or whatever we expect), but instead raises a `ValueError` if the attribute name is not in the allowed list for that element.

Looking at `getAttribute` in `odf/element.py` (based on the traceback):
```python
  File "/usr/local/lib/python/site-packages/odf/element.py", line 547, in getAttribute
    i = allowed_args.index(attr)
ValueError: 'value' is not in list
```
It seems `getAttribute` is strict about which attributes can be requested.

In `src/tablib/formats/_ods.py`:
```python
        if not cell.childNodes:
            value = getattr(cell, 'data', None)
            if value is None:
                value = cell.getAttribute('value')
            if value is None:
                return ''
```

If `cell` is a node that doesn't allow the attribute `'value'`, calling `getAttribute('value')` raises `ValueError`.

Wait, why does it work if the empty string is replaced by `None`?
If the value is `None`, it's probably exported differently in the ODS file, so the `read_cell` path might be different, or the `cell` node might be different.

The problematic case is `tablib.Dataset(("",))`.
The empty string is probably exported as a cell with some value type but no value attribute, or something like that.

If we want to be robust, we should catch this `ValueError` when calling `getAttribute('value')` (and maybe other `getAttribute` calls if they can also fail this way).

Let's see where else `getAttribute` is used in `read_cell`.
- `cell.getAttribute('valuetype')`
- `cell.getAttribute('datevalue')`
- `cell.getAttribute('booleanvalue')`
- `cell.getAttribute('value')`

If any of these raise `ValueError`, it means the attribute is not present/allowed.

The traceback specifically pointed to `value = cell.getAttribute('value')`.

Wait, if `cell` has `childNodes`, it iterates over them:
```python
        for subnode in cell.childNodes:
            value = cls.read_cell(subnode, value_type)
            if value:
                return value
```
And then it calls `cls.read_cell(subnode, value_type)`.
If `subnode` has no child nodes, it will try `subnode.getAttribute('value')`.

So if we have a cell that contains a subnode, and that subnode is supposed to have the value, but it doesn't have the `'value'` attribute, we get the `ValueError`.

If the value is an empty string, it might be that the ODS exporter creates a structure where a subnode is expected to have a value, but since it's empty, it omit the `value` attribute.

Let's see how to fix this. We can wrap `getAttribute` in a try-except block.

But before that, let's verify if other `getAttribute` calls also need this.
Actually, if the `ValueError` is raised by `odfpy` because the attribute is not in the `allowed_args` list for that element, then we should probably just treat it as if the attribute is not present.

Wait, if `getAttribute` is designed to raise `ValueError` when an attribute is not allowed, maybe we should only call it when we know it's allowed? But `tablib` seems to be relying on it to get values.

Let's look at the code again.

```python
        if not cell.childNodes:
            value = getattr(cell, 'data', None)
            if value is None:
                value = cell.getAttribute('value')
            if value is None:
                return ''
```

If `cell.getAttribute('value')` raises `ValueError`, we can catch it and set `value = None`.

Now, are there other `getAttribute` calls we should protect?
`valuetype`, `datevalue`, `timevalue`, `booleanvalue`.

If `valuetype` is not in `allowed_args`, then `cell.getAttribute('valuetype')` will also raise `ValueError`.
However, in the traceback, it got past `valuetype` (at least initially).

Let's check if `valuetype` can raise `ValueError`.
```python
        if value_type is None:
            value_type = cell.getAttribute('valuetype')
```
If this raises `ValueError`, then `value_type` remains `None`.

Wait, the traceback says:
```
  File "/tablib/src/tablib/formats/_ods.py", line 168, in read_cell
    value = cls.read_cell(subnode, value_type)
  File "/tablib/src/tablib/formats/_ods.py", line 158, in read_cell
    value = cell.getAttribute('value')
```
Here `read_cell` was called recursively. The first call probably had `value_type=None` (or some value), then it called `read_cell(subnode, value_type)`.
In the recursive call, `value_type` was passed, so it skipped `value_type = cell.getAttribute('valuetype')`.
Then it checked `if not cell.childNodes:`. If `subnode` has no child nodes, it tries `cell.getAttribute('value')`.

So the fix should be to catch `ValueError` when calling `getAttribute`.

Let's see if we can define a helper method for `getAttribute` that returns `None` on `ValueError`.

```python
    @classmethod
    def _get_attribute(cls, cell, attr):
        try:
            return cell.getAttribute(attr)
        except ValueError:
            return None
```

Then replace all `cell.getAttribute(...)` calls with `cls._get_attribute(cell, ...)`.

Let's see all `getAttribute` calls in `read_cell`.

Line 134: `value_type = cell.getAttribute('valuetype')`
Line 136: `date_value = cell.getAttribute('datevalue')`
Line 141: `time_value = cell.getAttribute('timevalue')`
Line 147: `bool_value = cell.getAttribute('booleanvalue')`
Line 154: `value = cell.getAttribute('value')`

Wait, if we change `getAttribute` to return `None` on `ValueError`, then:
`value_type = cell.getAttribute('valuetype')` will be `None`.
And later `if value_type == 'date':` etc. will be skipped.
Finally, if `not cell.childNodes`, it will try `getAttribute('value')` which will also be `None`, and it will return `''`. This seems correct for an empty cell.

Let's verify the reproduction with this hypothesis.
If the cell is empty, maybe it has a subnode (like `text:p` or something) but that subnode doesn't have a `value` attribute.

Let's try to implement the fix and see if it works.

Wait, I should check if other parts of `src/tablib/formats/_ods.py` use `getAttribute`.

TOOL CALL · run_command

{
  "command": "grep -n \"getAttribute\" src/tablib/formats/_ods.py"
}

Result of run_command 511 characters

{
  "status": "ok",
  "stdout": "111:        dset.title = sheet.getAttribute('name')\n114:            return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')\n140:            value_type = cell.getAttribute('valuetype')\n142:            date_value = cell.getAttribute('datevalue')\n146:            time_value = cell.getAttribute('timevalue')\n153:            bool_value = cell.getAttribute('booleanvalue')\n158:                value = cell.getAttribute('value')\n",
  "stderr": "",
  "exit_code": 0
}

Generated tokens 1,723 tokens · stopped: STOP

Okay, so `read_cell(cls, cell, value_type=None)`. The issue is that `cell.getAttribute('value')` is called, and it raises `ValueError: 'value' is not in list`. This means `odfpy`'s `getAttribute` doesn't handle missing attributes by returning `None` (or whatever we expect), but instead raises a `ValueError` if the attribute name is not in the allowed list for that element. Looking at `getAttribute` in `odf/element.py` (based on the traceback): ```python File "/usr/local/lib/python/site-packages/odf/element.py", line 547, in getAttribute i = allowed_args.index(attr) ValueError: 'value' is not in list ``` It seems `getAttribute` is strict about which attributes can be requested. In `src/tablib/formats/_ods.py`: ```python if not cell.childNodes: value = getattr(cell, 'data', None) if value is None: value = cell.getAttribute('value') if value is None: return '' ``` If `cell` is a node that doesn't allow the attribute `'value'`, calling `getAttribute('value')` raises `ValueError`. Wait, why does it work if the empty string is replaced by `None`? If the value is `None`, it's probably exported differently in the ODS file, so the `read_cell` path might be different, or the `cell` node might be different. The problematic case is `tablib.Dataset(("",))`. The empty string is probably exported as a cell with some value type but no value attribute, or something like that. If we want to be robust, we should catch this `ValueError` when calling `getAttribute('value')` (and maybe other `getAttribute` calls if they can also fail this way). Let's see where else `getAttribute` is used in `read_cell`. - `cell.getAttribute('valuetype')` - `cell.getAttribute('datevalue')` - `cell.getAttribute('booleanvalue')` - `cell.getAttribute('value')` If any of these raise `ValueError`, it means the attribute is not present/allowed. The traceback specifically pointed to `value = cell.getAttribute('value')`. Wait, if `cell` has `childNodes`, it iterates over them: ```python for subnode in cell.childNodes: value = cls.read_cell(subnode, value_type) if value: return value ``` And then it calls `cls.read_cell(subnode, value_type)`. If `subnode` has no child nodes, it will try `subnode.getAttribute('value')`. So if we have a cell that contains a subnode, and that subnode is supposed to have the value, but it doesn't have the `'value'` attribute, we get the `ValueError`. If the value is an empty string, it might be that the ODS exporter creates a structure where a subnode is expected to have a value, but since it's empty, it omit the `value` attribute. Let's see how to fix this. We can wrap `getAttribute` in a try-except block. But before that, let's verify if other `getAttribute` calls also need this. Actually, if the `ValueError` is raised by `odfpy` because the attribute is not in the `allowed_args` list for that element, then we should probably just treat it as if the attribute is not present. Wait, if `getAttribute` is designed to raise `ValueError` when an attribute is not allowed, maybe we should only call it when we know it's allowed? But `tablib` seems to be relying on it to get values. Let's look at the code again. ```python if not cell.childNodes: value = getattr(cell, 'data', None) if value is None: value = cell.getAttribute('value') if value is None: return '' ``` If `cell.getAttribute('value')` raises `ValueError`, we can catch it and set `value = None`. Now, are there other `getAttribute` calls we should protect? `valuetype`, `datevalue`, `timevalue`, `booleanvalue`. If `valuetype` is not in `allowed_args`, then `cell.getAttribute('valuetype')` will also raise `ValueError`. However, in the traceback, it got past `valuetype` (at least initially). Let's check if `valuetype` can raise `ValueError`. ```python if value_type is None: value_type = cell.getAttribute('valuetype') ``` If this raises `ValueError`, then `value_type` remains `None`. Wait, the traceback says: ``` File "/tablib/src/tablib/formats/_ods.py", line 168, in read_cell value = cls.read_cell(subnode, value_type) File "/tablib/src/tablib/formats/_ods.py", line 158, in read_cell value = cell.getAttribute('value') ``` Here `read_cell` was called recursively. The first call probably had `value_type=None` (or some value), then it called `read_cell(subnode, value_type)`. In the recursive call, `value_type` was passed, so it skipped `value_type = cell.getAttribute('valuetype')`. Then it checked `if not cell.childNodes:`. If `subnode` has no child nodes, it tries `cell.getAttribute('value')`. So the fix should be to catch `ValueError` when calling `getAttribute`. Let's see if we can define a helper method for `getAttribute` that returns `None` on `ValueError`. ```python @classmethod def _get_attribute(cls, cell, attr): try: return cell.getAttribute(attr) except ValueError: return None ``` Then replace all `cell.getAttribute(...)` calls with `cls._get_attribute(cell, ...)`. Let's see all `getAttribute` calls in `read_cell`. Line 134: `value_type = cell.getAttribute('valuetype')` Line 136: `date_value = cell.getAttribute('datevalue')` Line 141: `time_value = cell.getAttribute('timevalue')` Line 147: `bool_value = cell.getAttribute('booleanvalue')` Line 154: `value = cell.getAttribute('value')` Wait, if we change `getAttribute` to return `None` on `ValueError`, then: `value_type = cell.getAttribute('valuetype')` will be `None`. And later `if value_type == 'date':` etc. will be skipped. Finally, if `not cell.childNodes`, it will try `getAttribute('value')` which will also be `None`, and it will return `''`. This seems correct for an empty cell. Let's verify the reproduction with this hypothesis. If the cell is empty, maybe it has a subnode (like `text:p` or something) but that subnode doesn't have a `value` attribute. Let's try to implement the fix and see if it works. Wait, I should check if other parts of `src/tablib/formats/_ods.py` use `getAttribute`. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "getAttribute" src/tablib/formats/_ods.py<|"|>}<tool_call|><|tool_response>

Turn 7at 195 s214 tokens out7,226 prompt tokens

There are other calls:
Line 111: `dset.title = sheet.getAttribute('name')`
Line 114: `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')`

If these can also throw `ValueError`, we should protect them too.

Given that `odfpy`'s `getAttribute` raises `ValueError` if the attribute is not in `allowed_args`, it's safer to always protect it.

Let's implement the `_get_attribute` helper.

Wait, if I use `cls.read_cell(subnode, value_type)`, the `cls` is `OdsFormat` (presumably, since it's a `classmethod` of the format class).

Let's see the class definition.

TOOL CALL · read_file

{
  "end_line": 130,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 120
}

Result of read_file 609 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "content": "                continue\n            row_vals = [cls.read_cell(cell) for cell in row.childNodes if is_real_cell(cell)]\n            if not row_vals:\n                continue\n            if i == skip_lines and headers:\n                dset.headers = row_vals\n            else:\n                if i > skip_lines and len(row_vals) < dset.width:\n                    row_vals += [''] * (dset.width - len(row_vals))\n                dset.append(row_vals)\n",
  "start_line": 120,
  "end_line": 130,
  "total_lines": 249,
  "is_truncated": false
}

Generated tokens 214 tokens · stopped: STOP

There are other calls: Line 111: `dset.title = sheet.getAttribute('name')` Line 114: `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')` If these can also throw `ValueError`, we should protect them too. Given that `odfpy`'s `getAttribute` raises `ValueError` if the attribute is not in `allowed_args`, it's safer to always protect it. Let's implement the `_get_attribute` helper. Wait, if I use `cls.read_cell(subnode, value_type)`, the `cls` is `OdsFormat` (presumably, since it's a `classmethod` of the format class). Let's see the class definition. <channel|><|tool_call>call:read_file{end_line:130,filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:120}<tool_call|><|tool_response>

Turn 8at 198 s53 tokens out7,644 prompt tokens

I need to go further up to see the class name.

TOOL CALL · read_file

{
  "end_line": 120,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 100
}

Result of read_file 836 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "content": "            wb.spreadsheet.addElement(ws)\n            cls.dset_sheet(dset, ws)\n\n        stream = BytesIO()\n        wb.save(stream)\n        return stream.getvalue()\n\n    @classmethod\n    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):\n        \"\"\"Populate dataset `dset` with sheet data.\"\"\"\n\n        dset.title = sheet.getAttribute('name')\n\n        def is_real_cell(cell):\n            return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')\n\n        for i, row in enumerate(sheet.childNodes):\n            if row.tagName != 'table:table-row':\n                continue\n            if i < skip_lines:\n                continue",
  "start_line": 100,
  "end_line": 120,
  "total_lines": 249,
  "is_truncated": false
}

Generated tokens 53 tokens · stopped: STOP

I need to go further up to see the class name.<channel|><|tool_call>call:read_file{end_line:120,filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:100}<tool_call|><|tool_response>

Turn 9at 205 s88 tokens out7,967 prompt tokens

The class is `OdsFormat`. (Wait, I don't see the class definition here, but I can see `import_sheet` is a `@classmethod`).

Looking at the top of the file would confirm the class name.

TOOL CALL · read_file

{
  "end_line": 50,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 1
}

Result of read_file 1,520 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "content": "\"\"\" Tablib - ODF Support.\n\"\"\"\n\nimport datetime as dt\nimport numbers\nfrom io import BytesIO\n\nfrom odf import number, opendocument, style, table, text\n\nimport tablib\n\nbold = style.Style(name=\"bold\", family=\"paragraph\")\nbold.addElement(style.TextProperties(\n    fontweight=\"bold\",\n    fontweightasian=\"bold\",\n    fontweightcomplex=\"bold\",\n))\n\n\ndef set_date_style(style):\n    style.addElement(number.Year(style=\"long\"))\n    style.addElement(number.Text(text=\"-\"))\n    style.addElement(number.Month(style=\"long\"))\n    style.addElement(number.Text(text=\"-\"))\n    style.addElement(number.Day(style=\"long\"))\n\n\ndef set_time_style(style):\n    style.addElement(number.Hours(style=\"long\"))\n    style.addElement(number.Text(text=\":\"))\n    style.addElement(number.Minutes(style=\"long\"))\n    style.addElement(number.Text(text=\":\"))\n    style.addElement(number.Seconds(style=\"long\", decimalplaces=\"0\"))\n\n\ndate_style = number.DateStyle(name=\"date-style1\")\nset_date_style(date_style)\nds = style.Style(\n    name=\"ds1\",\n    datastylename=\"date-style1\",\n    parentstylename=\"Default\",\n    family=\"table-cell\",\n)\n\ntime_style = number.DateStyle(name=\"time-style1\")\nset_time_style(time_style)\nts = style.Style(\n    name=\"ts1\",\n    datastylename=\"time-style1\",\n    parentstylename=\"Default\",",
  "start_line": 1,
  "end_line": 50,
  "total_lines": 249,
  "is_truncated": false
}

Generated tokens 88 tokens · stopped: STOP

The class is `OdsFormat`. (Wait, I don't see the class definition here, but I can see `import_sheet` is a `@classmethod`). Looking at the top of the file would confirm the class name. <channel|><|tool_call>call:read_file{end_line:50,filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:1}<tool_call|><|tool_response>

Turn 10at 208 s47 tokens out8,577 prompt tokens

I need to find where `OdsFormat` is defined.

TOOL CALL · run_command

{
  "command": "grep -n \"class .*Format\" src/tablib/formats/_ods.py"
}

Result of run_command 81 characters

{
  "status": "ok",
  "stdout": "66:class ODSFormat:\n",
  "stderr": "",
  "exit_code": 0
}

Generated tokens 47 tokens · stopped: STOP

I need to find where `OdsFormat` is defined. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "class .*Format" src/tablib/formats/_ods.py<|"|>}<tool_call|><|tool_response>

Turn 11at 267 s917 tokens out8,671 prompt tokens

Okay, it's `ODSFormat`.

Now let's implement the `_get_attribute` helper method. I'll add it to `ODSFormat`. Note that `import_sheet` uses `cell.getAttribute('name')` and `cell.getAttribute('numbercolumnsrepeated')`. `cell` here might be a `sheet` or a `cell`, not necessarily an instance of `ODSFormat`. In fact, `ODSFormat` is a format class, and `cell` is an ODF element.

So `_get_attribute` should probably be a static method or I can just use a helper function outside the class, or just wrap each call.

Given that I need to use it in multiple places, a helper function at the module level might be cleanest, or a static method in `ODSFormat`.

Actually, the calls are:
1. `sheet.getAttribute('name')`
2. `cell.getAttribute('numbercolumnsrepeated')`
3. `cell.getAttribute('valuetype')`
4. `cell.getAttribute('datevalue')`
5. `cell.getAttribute('timevalue')`
6. `cell.getAttribute('booleanvalue')`
7. `cell.getAttribute('value')`

The `cell` and `sheet` are objects from `odfpy`.

Let's create a helper function `get_attribute(element, attr)` at the module level.

```python
def get_attribute(element, attr):
    try:
        return element.getAttribute(attr)
    except ValueError:
        return None
```

And then use it.

Let's double check if I can just wrap the `getAttribute` calls.

```python
        dset.title = sheet.getAttribute('name')
```
to
```python
        try:
            dset.title = sheet.getAttribute('name')
        except ValueError:
            dset.title = None
```
But that's verbose.

Let's add the helper function.

Wait, if I add a helper function, I need to make sure I don't break anything.

Let's see where to put it. Maybe around line 60, before `ODSFormat` class.

Actually, let's see if we can just use a try-except block in `read_cell` for the most critical part, and see if it's enough.
The crash is in `read_cell`.

```python
        if not cell.childNodes:
            value = getattr(cell, 'data', None)
            if value is None:
                try:
                    value = cell.getAttribute('value')
                except ValueError:
                    value = None
            if value is None:
                return ''
```

But `valuetype` could also fail.

Let's see the `import_sheet` again:
```python
    @classmethod
    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):
        """Populate dataset `dset` with sheet data."""

        dset.title = sheet.getAttribute('name')

        def is_real_cell(cell):
            return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')
```

If `sheet.getAttribute('name')` fails, `dset.title` would be problematic (though probably not critical).
If `cell.getAttribute('numbercolumnsrepeated')` fails, `is_real_cell` might crash.

So yes, a helper is better.

Wait, if I use a helper function, I have to be careful about where I call it.

Let's try to use a more surgical approach. I'll define a helper function `safe_get_attribute`.

```python
def safe_get_attribute(element, attr):
    try:
        return element.getAttribute(attr)
    except ValueError:
        return None
```

And then I'll replace the calls.

Let's check where `ODSFormat` starts and ends.

TOOL CALL · run_command

{
  "command": "grep -n \"class ODSFormat:\" src/tablib/formats/_ods.py"
}

Result of run_command 81 characters

{
  "status": "ok",
  "stdout": "66:class ODSFormat:\n",
  "stderr": "",
  "exit_code": 0
}

Generated tokens 917 tokens · stopped: STOP

Okay, it's `ODSFormat`. Now let's implement the `_get_attribute` helper method. I'll add it to `ODSFormat`. Note that `import_sheet` uses `cell.getAttribute('name')` and `cell.getAttribute('numbercolumnsrepeated')`. `cell` here might be a `sheet` or a `cell`, not necessarily an instance of `ODSFormat`. In fact, `ODSFormat` is a format class, and `cell` is an ODF element. So `_get_attribute` should probably be a static method or I can just use a helper function outside the class, or just wrap each call. Given that I need to use it in multiple places, a helper function at the module level might be cleanest, or a static method in `ODSFormat`. Actually, the calls are: 1. `sheet.getAttribute('name')` 2. `cell.getAttribute('numbercolumnsrepeated')` 3. `cell.getAttribute('valuetype')` 4. `cell.getAttribute('datevalue')` 5. `cell.getAttribute('timevalue')` 6. `cell.getAttribute('booleanvalue')` 7. `cell.getAttribute('value')` The `cell` and `sheet` are objects from `odfpy`. Let's create a helper function `get_attribute(element, attr)` at the module level. ```python def get_attribute(element, attr): try: return element.getAttribute(attr) except ValueError: return None ``` And then use it. Let's double check if I can just wrap the `getAttribute` calls. ```python dset.title = sheet.getAttribute('name') ``` to ```python try: dset.title = sheet.getAttribute('name') except ValueError: dset.title = None ``` But that's verbose. Let's add the helper function. Wait, if I add a helper function, I need to make sure I don't break anything. Let's see where to put it. Maybe around line 60, before `ODSFormat` class. Actually, let's see if we can just use a try-except block in `read_cell` for the most critical part, and see if it's enough. The crash is in `read_cell`. ```python if not cell.childNodes: value = getattr(cell, 'data', None) if value is None: try: value = cell.getAttribute('value') except ValueError: value = None if value is None: return '' ``` But `valuetype` could also fail. Let's see the `import_sheet` again: ```python @classmethod def import_sheet(cls, dset, sheet, headers=True, skip_lines=0): """Populate dataset `dset` with sheet data.""" dset.title = sheet.getAttribute('name') def is_real_cell(cell): return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated') ``` If `sheet.getAttribute('name')` fails, `dset.title` would be problematic (though probably not critical). If `cell.getAttribute('numbercolumnsrepeated')` fails, `is_real_cell` might crash. So yes, a helper is better. Wait, if I use a helper function, I have to be careful about where I call it. Let's try to use a more surgical approach. I'll define a helper function `safe_get_attribute`. ```python def safe_get_attribute(element, attr): try: return element.getAttribute(attr) except ValueError: return None ``` And then I'll replace the calls. Let's check where `ODSFormat` starts and ends.<channel|><|tool_call>call:run_command{command:<|"|>grep -n "class ODSFormat:" src/tablib/formats/_ods.py<|"|>}<tool_call|><|tool_response>

Turn 12at 304 s753 tokens out9,636 prompt tokens

I'll put the helper function before `ODSFormat`.

Wait, I noticed that `import_sheet` is a `classmethod` of `ODSFormat`.
Inside `import_sheet`, it calls `cls.read_cell(cell)`.

If I make `safe_get_attribute` a static method of `ODSFormat`, I can call it as `cls.safe_get_attribute(sheet, 'name')` and `cls.safe_get_attribute(cell, 'value')`.

Let's see the `read_cell` method again. It's also a `classmethod`.

```python
    @classmethod
    def read_cell(cls, cell, value_type=None):
```

So adding it as a static method to `ODSFormat` seems appropriate.

```python
    @staticmethod
    def safe_get_attribute(element, attr):
        try:
            return element.getAttribute(attr)
        except ValueError:
            return None
```

Then:
Line 111: `dset.title = cls.safe_get_attribute(sheet, 'name')`
Line 114: `return cell.hasChildNodes() or not cls.safe_get_attribute(cell, 'numbercolumnsrepeated')`

Wait, `is_real_cell` is a nested function inside `import_sheet`. It has access to `cls`.

Let's see:
```python
    @classmethod
    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):
        """Populate dataset `dset` with sheet data."""

        dset.title = sheet.getAttribute('name')

        def is_real_cell(cell):
            return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')
```

So I can change it to:
```python
    @classmethod
    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):
        """Populate dataset `dset` with sheet data."""

        dset.title = cls.safe_get_attribute(sheet, 'name')

        def is_real_cell(cell):
            return cell.hasChildNodes() or not cls.safe_get_attribute(cell, 'numbercolumnsrepeated')
```

And in `read_cell`:
Replace `cell.getAttribute('valuetype')` with `cls.safe_get_attribute(cell, 'valuetype')`.
etc.

Let's check all `getAttribute` calls again.

```python
# Line 140
value_type = cell.getAttribute('valuetype')
# Line 142
date_value = cell.getAttribute('datevalue')
# Line 146
time_value = cell.getAttribute('timevalue')
# Line 153
bool_value = cell.getAttribute('booleanvalue')
# Line 158
value = cell.getAttribute('value')
```

Wait, I need to be careful with the line numbers because I am reading a different version of the file than what I might have seen before.

Let's read the file again and make sure I have the exact lines.

TOOL CALL · read_file

{
  "end_line": 160,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 100
}

Result of read_file 2,567 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "content": "            wb.spreadsheet.addElement(ws)\n            cls.dset_sheet(dset, ws)\n\n        stream = BytesIO()\n        wb.save(stream)\n        return stream.getvalue()\n\n    @classmethod\n    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):\n        \"\"\"Populate dataset `dset` with sheet data.\"\"\"\n\n        dset.title = sheet.getAttribute('name')\n\n        def is_real_cell(cell):\n            return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')\n\n        for i, row in enumerate(sheet.childNodes):\n            if row.tagName != 'table:table-row':\n                continue\n            if i < skip_lines:\n                continue\n            row_vals = [cls.read_cell(cell) for cell in row.childNodes if is_real_cell(cell)]\n            if not row_vals:\n                continue\n            if i == skip_lines and headers:\n                dset.headers = row_vals\n            else:\n                if i > skip_lines and len(row_vals) < dset.width:\n                    row_vals += [''] * (dset.width - len(row_vals))\n                dset.append(row_vals)\n\n    @classmethod\n    def read_cell(cls, cell, value_type=None):\n        def convert_date(val):\n            if 'T' in val:\n                return dt.datetime.strptime(val, \"%Y-%m-%dT%H:%M:%S\")\n            else:\n                return dt.datetime.strptime(val, \"%Y-%m-%d\").date()\n\n        if value_type is None:\n            value_type = cell.getAttribute('valuetype')\n        if value_type == 'date':\n            date_value = cell.getAttribute('datevalue')\n            if date_value:\n                return convert_date(date_value)\n        if value_type == 'time':\n            time_value = cell.getAttribute('timevalue')\n            try:\n                return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time()\n            except ValueError:\n                # backwards compatibility for times exported with older tablib versions\n                return dt.datetime.strptime(time_value, \"%H:%M:%S\").time()\n        if value_type == 'boolean':\n            bool_value = cell.getAttribute('booleanvalue')\n            return bool_value == 'true'\n        if not cell.childNodes:\n            value = getattr(cell, 'data', None)\n            if value is None:\n                value = cell.getAttribute('value')\n            if value is None:\n                return ''",
  "start_line": 100,
  "end_line": 160,
  "total_lines": 249,
  "is_truncated": false
}

Generated tokens 753 tokens · stopped: STOP

I'll put the helper function before `ODSFormat`. Wait, I noticed that `import_sheet` is a `classmethod` of `ODSFormat`. Inside `import_sheet`, it calls `cls.read_cell(cell)`. If I make `safe_get_attribute` a static method of `ODSFormat`, I can call it as `cls.safe_get_attribute(sheet, 'name')` and `cls.safe_get_attribute(cell, 'value')`. Let's see the `read_cell` method again. It's also a `classmethod`. ```python @classmethod def read_cell(cls, cell, value_type=None): ``` So adding it as a static method to `ODSFormat` seems appropriate. ```python @staticmethod def safe_get_attribute(element, attr): try: return element.getAttribute(attr) except ValueError: return None ``` Then: Line 111: `dset.title = cls.safe_get_attribute(sheet, 'name')` Line 114: `return cell.hasChildNodes() or not cls.safe_get_attribute(cell, 'numbercolumnsrepeated')` Wait, `is_real_cell` is a nested function inside `import_sheet`. It has access to `cls`. Let's see: ```python @classmethod def import_sheet(cls, dset, sheet, headers=True, skip_lines=0): """Populate dataset `dset` with sheet data.""" dset.title = sheet.getAttribute('name') def is_real_cell(cell): return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated') ``` So I can change it to: ```python @classmethod def import_sheet(cls, dset, sheet, headers=True, skip_lines=0): """Populate dataset `dset` with sheet data.""" dset.title = cls.safe_get_attribute(sheet, 'name') def is_real_cell(cell): return cell.hasChildNodes() or not cls.safe_get_attribute(cell, 'numbercolumnsrepeated') ``` And in `read_cell`: Replace `cell.getAttribute('valuetype')` with `cls.safe_get_attribute(cell, 'valuetype')`. etc. Let's check all `getAttribute` calls again. ```python # Line 140 value_type = cell.getAttribute('valuetype') # Line 142 date_value = cell.getAttribute('datevalue') # Line 146 time_value = cell.getAttribute('timevalue') # Line 153 bool_value = cell.getAttribute('booleanvalue') # Line 158 value = cell.getAttribute('value') ``` Wait, I need to be careful with the line numbers because I am reading a different version of the file than what I might have seen before. Let's read the file again and make sure I have the exact lines.<channel|><|tool_call>call:read_file{end_line:160,filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:100}<tool_call|><|tool_response>

Turn 13at 311 s149 tokens out11,123 prompt tokens

Okay, now I'll add the `safe_get_attribute` method to `ODSFormat`.
I'll put it before `import_sheet`.

```python
    @staticmethod
    def safe_get_attribute(element, attr):
        try:
            return element.getAttribute(attr)
        except ValueError:
            return None
```

Wait, where is `ODSFormat` defined? line 66.
Let's see the start of `ODSFormat`.

TOOL CALL · read_file

{
  "end_line": 110,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 60
}

Result of read_file 1,727 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "content": "    datastylename=\"datetime-style1\",\n    parentstylename=\"Default\",\n    family=\"table-cell\",\n)\n\n\nclass ODSFormat:\n    title = 'ods'\n    extensions = ('ods',)\n\n    @classmethod\n    def export_set(cls, dataset):\n        \"\"\"Returns ODF representation of Dataset.\"\"\"\n\n        wb = opendocument.OpenDocumentSpreadsheet()\n        wb.automaticstyles.addElement(bold)\n        wb.styles.addElement(date_style)\n        wb.automaticstyles.addElement(ds)\n        wb.styles.addElement(time_style)\n        wb.automaticstyles.addElement(ts)\n        wb.styles.addElement(datetime_style)\n        wb.automaticstyles.addElement(dts)\n\n        ws = table.Table(name=dataset.title if dataset.title else 'Tablib Dataset')\n        wb.spreadsheet.addElement(ws)\n        cls.dset_sheet(dataset, ws)\n\n        stream = BytesIO()\n        wb.save(stream)\n        return stream.getvalue()\n\n    @classmethod\n    def export_book(cls, databook):\n        \"\"\"Returns ODF representation of DataBook.\"\"\"\n\n        wb = opendocument.OpenDocumentSpreadsheet()\n        wb.automaticstyles.addElement(bold)\n\n        for i, dset in enumerate(databook._datasets):\n            ws = table.Table(name=dset.title if dset.title else f\"Sheet{i}\")\n            wb.spreadsheet.addElement(ws)\n            cls.dset_sheet(dset, ws)\n\n        stream = BytesIO()\n        wb.save(stream)\n        return stream.getvalue()\n\n    @classmethod\n    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):\n        \"\"\"Populate dataset `dset` with sheet data.\"\"\"\n",
  "start_line": 60,
  "end_line": 110,
  "total_lines": 249,
  "is_truncated": false
}

Generated tokens 149 tokens · stopped: STOP

Okay, now I'll add the `safe_get_attribute` method to `ODSFormat`. I'll put it before `import_sheet`. ```python @staticmethod def safe_get_attribute(element, attr): try: return element.getAttribute(attr) except ValueError: return None ``` Wait, where is `ODSFormat` defined? line 66. Let's see the start of `ODSFormat`. <channel|><|tool_call>call:read_file{end_line:110,filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:60}<tool_call|><|tool_response>

Turn 14at 345 s667 tokens out11,809 prompt tokens

I'll add the `safe_get_attribute` static method before `import_sheet`.

Wait, I'll put it as a static method before `import_sheet`.

Actually, `import_sheet` starts at line 106.

Let's do this in one go.

1. Add `safe_get_attribute` static method.
2. Update `import_sheet` to use it for `name` and `numbercolumnsrepeated`.
3. Update `read_cell` to use it for `valuetype`, `datevalue`, `timevalue`, `booleanvalue`, and `value`.

Let's double check `read_cell` again to make sure I don't miss anything.

```python
    @classmethod
    def read_cell(cls, cell, value_type=None):
        def convert_date(val):
            # ...
        if value_type is None:
            value_type = cell.getAttribute('valuetype')
        if value_type == 'date':
            date_value = cell.getAttribute('datevalue')
            if date_value:
                return convert_date(date_value)
        if value_type == 'time':
            time_value = cell.getAttribute('timevalue')
            # ...
        if value_type == 'boolean':
            bool_value = cell.getAttribute('booleanvalue')
            return bool_value == 'true'
        if not cell.childNodes:
            value = getattr(cell, 'data', None)
            if value is None:
                value = cell.getAttribute('value')
            if value is None:
                return ''
```

Wait, I should also check if `cell.getAttribute('valuetype')` can raise `ValueError` when `value_type` is `None`. Yes, it can.

So:
`value_type = cls.safe_get_attribute(cell, 'valuetype')`
`date_value = cls.safe_get_attribute(cell, 'datevalue')`
`time_value = cls.safe_get_attribute(cell, 'timevalue')`
`bool_value = cls.safe_get_attribute(cell, 'booleanvalue')`
`value = cls.safe_get_attribute(cell, 'value')`

Let's prepare the `edit_file` calls.

First, add `safe_get_attribute`.

TOOL CALL · edit_file

{
  "filepath": "src/tablib/formats/_ods.py",
  "new_string": "    @staticmethod\n    def safe_get_attribute(element, attr):\n        try:\n            return element.getAttribute(attr)\n        except ValueError:\n            return None\n\n    @classmethod\n    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):\n",
  "old_string": "    @classmethod\n    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):\n"
}

Result of edit_file 590 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "occurrences": 1,
  "strategy": "exact",
  "diff": "--- a/src/tablib/formats/_ods.py\n+++ b/src/tablib/formats/_ods.py\n@@ -103,6 +103,13 @@\n         stream = BytesIO()\n         wb.save(stream)\n         return stream.getvalue()\n+\n+    @staticmethod\n+    def safe_get_attribute(element, attr):\n+        try:\n+            return element.getAttribute(attr)\n+        except ValueError:\n+            return None\n \n     @classmethod\n     def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):\n",
  "is_truncated": false
}

Generated tokens 667 tokens · stopped: STOP

I'll add the `safe_get_attribute` static method before `import_sheet`. Wait, I'll put it as a static method before `import_sheet`. Actually, `import_sheet` starts at line 106. Let's do this in one go. 1. Add `safe_get_attribute` static method. 2. Update `import_sheet` to use it for `name` and `numbercolumnsrepeated`. 3. Update `read_cell` to use it for `valuetype`, `datevalue`, `timevalue`, `booleanvalue`, and `value`. Let's double check `read_cell` again to make sure I don't miss anything. ```python @classmethod def read_cell(cls, cell, value_type=None): def convert_date(val): # ... if value_type is None: value_type = cell.getAttribute('valuetype') if value_type == 'date': date_value = cell.getAttribute('datevalue') if date_value: return convert_date(date_value) if value_type == 'time': time_value = cell.getAttribute('timevalue') # ... if value_type == 'boolean': bool_value = cell.getAttribute('booleanvalue') return bool_value == 'true' if not cell.childNodes: value = getattr(cell, 'data', None) if value is None: value = cell.getAttribute('value') if value is None: return '' ``` Wait, I should also check if `cell.getAttribute('valuetype')` can raise `ValueError` when `value_type` is `None`. Yes, it can. So: `value_type = cls.safe_get_attribute(cell, 'valuetype')` `date_value = cls.safe_get_attribute(cell, 'datevalue')` `time_value = cls.safe_get_attribute(cell, 'timevalue')` `bool_value = cls.safe_get_attribute(cell, 'booleanvalue')` `value = cls.safe_get_attribute(cell, 'value')` Let's prepare the `edit_file` calls. First, add `safe_get_attribute`. <channel|><|tool_call>call:edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|> @staticmethod def safe_get_attribute(element, attr): try: return element.getAttribute(attr) except ValueError: return None @classmethod def import_sheet(cls, dset, sheet, headers=True, skip_lines=0): <|"|>,old_string:<|"|> @classmethod def import_sheet(cls, dset, sheet, headers=True, skip_lines=0): <|"|>}<tool_call|><|tool_response>

Turn 15at 358 s281 tokens out12,686 prompt tokens

Now update `import_sheet`.

TOOL CALL · edit_file

{
  "filepath": "src/tablib/formats/_ods.py",
  "new_string": "    @classmethod\n    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):\n        \\\"\\\"\\\"Populate dataset `dset` with sheet data.\\\"\\\"\\\"\\n\\n        dset.title = cls.safe_get_attribute(sheet, 'name')\\n\\n        def is_real_cell(cell):\\n            return cell.hasChildNodes() or not cls.safe_get_attribute(cell, 'numbercolumnsrepeated')\\n\\n        for i, row in enumerate(sheet.childNodes):\n",
  "old_string": "    @classmethod\n    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):\n        \\\"\\\"\\\"Populate dataset `dset` with sheet data.\\\"\\\"\\\"\\n\\n        dset.title = sheet.getAttribute('name')\\n\\n        def is_real_cell(cell):\\n            return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')\\n\\n        for i, row in enumerate(sheet.childNodes):\n"
}

Result of edit_file 813 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "occurrences": 1,
  "strategy": "unescaped",
  "diff": "--- a/src/tablib/formats/_ods.py\n+++ b/src/tablib/formats/_ods.py\n@@ -115,10 +115,10 @@\n     def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):\n         \"\"\"Populate dataset `dset` with sheet data.\"\"\"\n \n-        dset.title = sheet.getAttribute('name')\n+        dset.title = cls.safe_get_attribute(sheet, 'name')\n \n         def is_real_cell(cell):\n-            return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')\n+            return cell.hasChildNodes() or not cls.safe_get_attribute(cell, 'numbercolumnsrepeated')\n \n         for i, row in enumerate(sheet.childNodes):\n             if row.tagName != 'table:table-row':\n",
  "is_truncated": false
}

Generated tokens 281 tokens · stopped: STOP

Now update `import_sheet`. <channel|><|tool_call>call:edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|> @classmethod def import_sheet(cls, dset, sheet, headers=True, skip_lines=0): \"\"\"Populate dataset `dset` with sheet data.\"\"\"\n\n dset.title = cls.safe_get_attribute(sheet, 'name')\n\n def is_real_cell(cell):\n return cell.hasChildNodes() or not cls.safe_get_attribute(cell, 'numbercolumnsrepeated')\n\n for i, row in enumerate(sheet.childNodes): <|"|>,old_string:<|"|> @classmethod def import_sheet(cls, dset, sheet, headers=True, skip_lines=0): \"\"\"Populate dataset `dset` with sheet data.\"\"\"\n\n dset.title = sheet.getAttribute('name')\n\n def is_real_cell(cell):\n return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')\n\n for i, row in enumerate(sheet.childNodes): <|"|>}<tool_call|><|tool_response>

Turn 16at 367 s116 tokens out13,251 prompt tokens

Now update `read_cell`. This is a bit larger, so I'll do it in a couple of chunks or one larger chunk.

Let's do it in one block from `if value_type is None:` to the end of `read_cell`.

Wait, let me read the current `read_cell` again to be sure.

TOOL CALL · read_file

{
  "end_line": 165,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 135
}

Result of read_file 1,500 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "content": "                    row_vals += [''] * (dset.width - len(row_vals))\n                dset.append(row_vals)\n\n    @classmethod\n    def read_cell(cls, cell, value_type=None):\n        def convert_date(val):\n            if 'T' in val:\n                return dt.datetime.strptime(val, \"%Y-%m-%dT%H:%M:%S\")\n            else:\n                return dt.datetime.strptime(val, \"%Y-%m-%d\").date()\n\n        if value_type is None:\n            value_type = cell.getAttribute('valuetype')\n        if value_type == 'date':\n            date_value = cell.getAttribute('datevalue')\n            if date_value:\n                return convert_date(date_value)\n        if value_type == 'time':\n            time_value = cell.getAttribute('timevalue')\n            try:\n                return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time()\n            except ValueError:\n                # backwards compatibility for times exported with older tablib versions\n                return dt.datetime.strptime(time_value, \"%H:%M:%S\").time()\n        if value_type == 'boolean':\n            bool_value = cell.getAttribute('booleanvalue')\n            return bool_value == 'true'\n        if not cell.childNodes:\n            value = getattr(cell, 'data', None)\n            if value is None:\n                value = cell.getAttribute('value')",
  "start_line": 135,
  "end_line": 165,
  "total_lines": 256,
  "is_truncated": false
}

Generated tokens 116 tokens · stopped: STOP

Now update `read_cell`. This is a bit larger, so I'll do it in a couple of chunks or one larger chunk. Let's do it in one block from `if value_type is None:` to the end of `read_cell`. Wait, let me read the current `read_cell` again to be sure. <channel|><|tool_call>call:read_file{end_line:165,filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:135}<tool_call|><|tool_response>

Turn 17at 385 s584 tokens out13,804 prompt tokens

I'll replace the `getAttribute` calls with `cls.safe_get_attribute(cell, ...)`.

Let's do it.

TOOL CALL · edit_file

{
  "filepath": "src/tablib/formats/_ods.py",
  "new_string": "        if value_type is None:\n            value_type = cls.safe_get_attribute(cell, 'valuetype')\n        if value_type == 'date':\n            date_value = cls.safe_get_attribute(cell, 'datevalue')\n            if date_value:\n                return convert_date(date_value)\n        if value_type == 'time':\n            time_value = cls.safe_get_attribute(cell, 'timevalue')\n            try:\n                return dt.datetime.strptime(time_value, \\\"PT%HH%MM%SS\\\").time()\n            except (ValueError, TypeError):\n                # backwards compatibility for times exported with older tablib versions\n                return dt.datetime.strptime(time_value, \\\"%H:%M:%S\\\").time()\n        if value_type == 'boolean':\n            bool_value = cls.safe_get_attribute(cell, 'booleanvalue')\n            return bool_value == 'true'\n        if not cell.childNodes:\n            value = getattr(cell, 'data', None)\n            if value is None:\n                value = cls.safe_get_attribute(cell, 'value')\n            if value is None:\n                return ''\n",
  "old_string": "        if value_type is None:\n            value_type = cell.getAttribute('valuetype')\n        if value_type == 'date':\n            date_value = cell.getAttribute('datevalue')\n            if date_value:\n                return convert_date(date_value)\n        if value_type == 'time':\n            time_value = cell.getAttribute('timevalue')\n            try:\n                return dt.datetime.strptime(time_value, \\\"PT%HH%MM%SS\\\").time()\n            except ValueError:\n                # backwards compatibility for times exported with older tablib versions\n                return dt.datetime.strptime(time_value, \\\"%H:%M:%S\\\").time()\n        if value_type == 'boolean':\n            bool_value = cell.getAttribute('booleanvalue')\n            return bool_value == 'true'\n        if not cell.childNodes:\n            value = getattr(cell, 'data', None)\n            if value is None:\n                value = cell.getAttribute('value')\n            if value is None:\n                return ''\n"
}

Result of edit_file 1,760 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "occurrences": 1,
  "strategy": "unescaped",
  "diff": "--- a/src/tablib/formats/_ods.py\n+++ b/src/tablib/formats/_ods.py\n@@ -144,25 +144,25 @@\n                 return dt.datetime.strptime(val, \"%Y-%m-%d\").date()\n \n         if value_type is None:\n-            value_type = cell.getAttribute('valuetype')\n+            value_type = cls.safe_get_attribute(cell, 'valuetype')\n         if value_type == 'date':\n-            date_value = cell.getAttribute('datevalue')\n+            date_value = cls.safe_get_attribute(cell, 'datevalue')\n             if date_value:\n                 return convert_date(date_value)\n         if value_type == 'time':\n-            time_value = cell.getAttribute('timevalue')\n+            time_value = cls.safe_get_attribute(cell, 'timevalue')\n             try:\n                 return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time()\n-            except ValueError:\n+            except (ValueError, TypeError):\n                 # backwards compatibility for times exported with older tablib versions\n                 return dt.datetime.strptime(time_value, \"%H:%M:%S\").time()\n         if value_type == 'boolean':\n-            bool_value = cell.getAttribute('booleanvalue')\n+            bool_value = cls.safe_get_attribute(cell, 'booleanvalue')\n             return bool_value == 'true'\n         if not cell.childNodes:\n             value = getattr(cell, 'data', None)\n             if value is None:\n-                value = cell.getAttribute('value')\n+                value = cls.safe_get_attribute(cell, 'value')\n             if value is None:\n                 return ''\n             if value_type == 'float':\n",
  "is_truncated": false
}

Generated tokens 584 tokens · stopped: STOP

I'll replace the `getAttribute` calls with `cls.safe_get_attribute(cell, ...)`. Let's do it. <channel|><|tool_call>call:edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|> if value_type is None: value_type = cls.safe_get_attribute(cell, 'valuetype') if value_type == 'date': date_value = cls.safe_get_attribute(cell, 'datevalue') if date_value: return convert_date(date_value) if value_type == 'time': time_value = cls.safe_get_attribute(cell, 'timevalue') try: return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time() except (ValueError, TypeError): # backwards compatibility for times exported with older tablib versions return dt.datetime.strptime(time_value, \"%H:%M:%S\").time() if value_type == 'boolean': bool_value = cls.safe_get_attribute(cell, 'booleanvalue') return bool_value == 'true' if not cell.childNodes: value = getattr(cell, 'data', None) if value is None: value = cls.safe_get_attribute(cell, 'value') if value is None: return '' <|"|>,old_string:<|"|> if value_type is None: value_type = cell.getAttribute('valuetype') if value_type == 'date': date_value = cell.getAttribute('datevalue') if date_value: return convert_date(date_value) if value_type == 'time': time_value = cell.getAttribute('timevalue') try: return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time() except ValueError: # backwards compatibility for times exported with older tablib versions return dt.datetime.strptime(time_value, \"%H:%M:%S\").time() if value_type == 'boolean': bool_value = cell.getAttribute('booleanvalue') return bool_value == 'true' if not cell.childNodes: value = getattr(cell, 'data', None) if value is None: value = cell.getAttribute('value') if value is None: return '' <|"|>}<tool_call|><|tool_response>

Turn 18at 422 s698 tokens out14,903 prompt tokens

Wait, I added `TypeError` to the exception handler for `time_value` processing.
```python
-            except ValueError:
+            except (ValueError, TypeError):
```
Why did I do that?
Ah, because `time_value = cls.safe_get_attribute(cell, 'timevalue')` can return `None`.
And `dt.datetime.strptime(None, ...)` would raise a `TypeError`.
So catching `TypeError` is good here as well, because it'll fall through to the next try or just stay in the exception block.
Wait, actually if `time_value` is `None`, the second `strptime` will also fail with `TypeError`.

Let's see:
```python
        if value_type == 'time':
            time_value = cls.safe_get_attribute(cell, 'timevalue')
            try:
                return dt.datetime.strptime(time_value, "PT%HH%MM%SS").time()
            except (ValueError, TypeError):
                # backwards compatibility for times exported with older tablib versions
                return dt.datetime.strptime(time_value, "%H:%M:%S").time()
```
If `time_value` is `None`, the first `strptime` raises `TypeError`. Then the second `strptime` is called with `None` and also raises `TypeError`.
So the exception will propagate.

But is this okay? If `time_value` is `None`, should we return `''` or `None` or let it crash?
In other cases (date), we have:
```python
        if value_type == 'date':
            date_value = cls.safe_get_attribute(cell, 'datevalue')
            if date_value:
                return convert_date(date_value)
```
If `date_value` is `None`, it just continues and eventually might return `''`.

For `time`, it should probably also check if `time_value` is present.

Let's fix that.

TOOL CALL · edit_file

{
  "filepath": "src/tablib/formats/_ods.py",
  "new_string": "        if value_type == 'time':\n            time_value = cls.safe_get_attribute(cell, 'timevalue')\n            if time_value:\n                try:\n                    return dt.datetime.strptime(time_value, \\\"PT%HH%MM%SS\\\").time()\n                except ValueError:\n                    # backwards compatibility for times exported with older tablib versions\n                    return dt.datetime.strptime(time_value, \\\"%H:%M:%S\\\").time()\n",
  "old_string": "        if value_type == 'time':\n            time_value = cls.safe_get_attribute(cell, 'timevalue')\n            try:\n                return dt.datetime.strptime(time_value, \\\"PT%HH%MM%SS\\\").time()\n            except (ValueError, TypeError):\n                # backwards compatibility for times exported with older tablib versions\n                return dt.datetime.strptime(time_value, \\\"%H:%M:%S\\\").time()\n"
}

Result of edit_file 1,201 characters

{
  "status": "ok",
  "filepath": "src/tablib/formats/_ods.py",
  "occurrences": 1,
  "strategy": "unescaped",
  "diff": "--- a/src/tablib/formats/_ods.py\n+++ b/src/tablib/formats/_ods.py\n@@ -151,11 +151,12 @@\n                 return convert_date(date_value)\n         if value_type == 'time':\n             time_value = cls.safe_get_attribute(cell, 'timevalue')\n-            try:\n-                return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time()\n-            except (ValueError, TypeError):\n-                # backwards compatibility for times exported with older tablib versions\n-                return dt.datetime.strptime(time_value, \"%H:%M:%S\").time()\n+            if time_value:\n+                try:\n+                    return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time()\n+                except ValueError:\n+                    # backwards compatibility for times exported with older tablib versions\n+                    return dt.datetime.strptime(time_value, \"%H:%M:%S\").time()\n         if value_type == 'boolean':\n             bool_value = cls.safe_get_attribute(cell, 'booleanvalue')\n             return bool_value == 'true'\n",
  "is_truncated": false
}

Generated tokens 698 tokens · stopped: STOP

Wait, I added `TypeError` to the exception handler for `time_value` processing. ```python - except ValueError: + except (ValueError, TypeError): ``` Why did I do that? Ah, because `time_value = cls.safe_get_attribute(cell, 'timevalue')` can return `None`. And `dt.datetime.strptime(None, ...)` would raise a `TypeError`. So catching `TypeError` is good here as well, because it'll fall through to the next try or just stay in the exception block. Wait, actually if `time_value` is `None`, the second `strptime` will also fail with `TypeError`. Let's see: ```python if value_type == 'time': time_value = cls.safe_get_attribute(cell, 'timevalue') try: return dt.datetime.strptime(time_value, "PT%HH%MM%SS").time() except (ValueError, TypeError): # backwards compatibility for times exported with older tablib versions return dt.datetime.strptime(time_value, "%H:%M:%S").time() ``` If `time_value` is `None`, the first `strptime` raises `TypeError`. Then the second `strptime` is called with `None` and also raises `TypeError`. So the exception will propagate. But is this okay? If `time_value` is `None`, should we return `''` or `None` or let it crash? In other cases (date), we have: ```python if value_type == 'date': date_value = cls.safe_get_attribute(cell, 'datevalue') if date_value: return convert_date(date_value) ``` If `date_value` is `None`, it just continues and eventually might return `''`. For `time`, it should probably also check if `time_value` is present. Let's fix that. <channel|><|tool_call>call:edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|> if value_type == 'time': time_value = cls.safe_get_attribute(cell, 'timevalue') if time_value: try: return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time() except ValueError: # backwards compatibility for times exported with older tablib versions return dt.datetime.strptime(time_value, \"%H:%M:%S\").time() <|"|>,old_string:<|"|> if value_type == 'time': time_value = cls.safe_get_attribute(cell, 'timevalue') try: return dt.datetime.strptime(time_value, \"PT%HH%MM%SS\").time() except (ValueError, TypeError): # backwards compatibility for times exported with older tablib versions return dt.datetime.strptime(time_value, \"%H:%M:%S\").time() <|"|>}<tool_call|><|tool_response>

Patch, tests and logs

Final code change Included

diff --git a/src/tablib/formats/_ods.py b/src/tablib/formats/_ods.py
index adab7e1..c16f6f3 100644
--- a/src/tablib/formats/_ods.py
+++ b/src/tablib/formats/_ods.py
@@ -104,14 +104,21 @@ class ODSFormat:
         wb.save(stream)
         return stream.getvalue()
 
+    @staticmethod
+    def safe_get_attribute(element, attr):
+        try:
+            return element.getAttribute(attr)
+        except ValueError:
+            return None
+
     @classmethod
     def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):
         """Populate dataset `dset` with sheet data."""
 
-        dset.title = sheet.getAttribute('name')
+        dset.title = cls.safe_get_attribute(sheet, 'name')
 
         def is_real_cell(cell):
-            return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')
+            return cell.hasChildNodes() or not cls.safe_get_attribute(cell, 'numbercolumnsrepeated')
 
         for i, row in enumerate(sheet.childNodes):
             if row.tagName != 'table:table-row':
@@ -137,25 +144,26 @@ class ODSFormat:
                 return dt.datetime.strptime(val, "%Y-%m-%d").date()
 
         if value_type is None:
-            value_type = cell.getAttribute('valuetype')
+            value_type = cls.safe_get_attribute(cell, 'valuetype')
         if value_type == 'date':
-            date_value = cell.getAttribute('datevalue')
+            date_value = cls.safe_get_attribute(cell, 'datevalue')
             if date_value:
                 return convert_date(date_value)
         if value_type == 'time':
-            time_value = cell.getAttribute('timevalue')
-            try:
-                return dt.datetime.strptime(time_value, "PT%HH%MM%SS").time()
-            except ValueError:
-                # backwards compatibility for times exported with older tablib versions
-                return dt.datetime.strptime(time_value, "%H:%M:%S").time()
+            time_value = cls.safe_get_attribute(cell, 'timevalue')
+            if time_value:
+                try:
+                    return dt.datetime.strptime(time_value, "PT%HH%MM%SS").time()
+                except ValueError:
+                    # backwards compatibility for times exported with older tablib versions
+                    return dt.datetime.strptime(time_value, "%H:%M:%S").time()
         if value_type == 'boolean':
-            bool_value = cell.getAttribute('booleanvalue')
+            bool_value = cls.safe_get_attribute(cell, 'booleanvalue')
             return bool_value == 'true'
         if not cell.childNodes:
             value = getattr(cell, 'data', None)
             if value is None:
-                value = cell.getAttribute('value')
+                value = cls.safe_get_attribute(cell, 'value')
             if value is None:
                 return ''
             if value_type == 'float':

Test output Included

============================= test session starts ==============================
collected 144 items

tests/test_tablib.py ................................................... [ 35%]
.....................................F.................................. [ 85%]
.....................                                                    [100%]

=================================== FAILURES ===================================
E   AssertionError: None != ''
/usr/local/lib/python3.10/unittest/case.py:838: AssertionError: None != ''
==================================== PASSES ====================================
- generated xml file: /tmp/rebench-grade-e46108ec7614416996321cc8b9227b8f.xml --
================================ tests coverage ================================
_______________ coverage: platform linux, python 3.10.19-final-0 _______________

Name                                         Stmts   Miss  Cover
----------------------------------------------------------------
src/tablib/__init__.py                           5      2    60%
src/tablib/_vendor/__init__.py                   0      0   100%
src/tablib/_vendor/dbfpy/__init__.py             0      0   100%
src/tablib/_vendor/dbfpy/dbf.py                 96     30    69%
src/tablib/_vendor/dbfpy/dbfnew.py              43      1    98%
src/tablib/_vendor/dbfpy/fields.py             181     58    68%
src/tablib/_vendor/dbfpy/header.py             101     17    83%
src/tablib/_vendor/dbfpy/record.py              72     17    76%
src/tablib/_vendor/dbfpy/utils.py               62     31    50%
src/tablib/_version.py                          18      4    78%
src/tablib/core.py                             435     56    87%
src/tablib/exceptions.py                         6      0   100%
src/tablib/formats/__init__.py                  87      4    95%
src/tablib/formats/_cli.py                      10      1    90%
src/tablib/formats/_csv.py                      40      0   100%
src/tablib/formats/_dbf.py                      47      0   100%
src/tablib/formats/_df.py                       28      7    75%
src/tablib/formats/_html.py                     87      0   100%
src/tablib/formats/_jira.py                     16      0   100%
src/tablib/formats/_json.py                     38      1    97%
src/tablib/formats/_latex.py                    43      0   100%
src/tablib/formats/_ods.py                     176      2    99%
src/tablib/formats/_rst.py                     123      6    95%
src/tablib/formats/_tsv.py                       5      0   100%
src/tablib/formats/_xls.py                     104      4    96%
src/tablib/formats/_xlsx.py                    115      0   100%
src/tablib/formats/_yaml.py                     32      0   100%
src/tablib/utils.py                              7      0   100%
tests/test_tablib.py                          1056     11    99%
tests/test_tablib_dbfpy_packages_fields.py      22     22     0%
tests/test_tablib_dbfpy_packages_utils.py       74     74     0%
----------------------------------------------------------------
TOTAL                                         3129    348    89%
Coverage HTML written to dir htmlcov
Coverage XML written to file coverage.xml
=========================== short test summary info ============================
PASSED tests/test_tablib.py::TablibTestCase::test_add_callable_column
PASSED tests/test_tablib.py::TablibTestCase::test_add_column
PASSED tests/test_tablib.py::TablibTestCase::test_add_column_no_data_no_headers
PASSED tests/test_tablib.py::TablibTestCase::test_add_column_no_data_with_headers
PASSED tests/test_tablib.py::TablibTestCase::test_add_column_with_header_and_data_exists
PASSED tests/test_tablib.py::TablibTestCase::test_add_column_with_header_and_headers_only_exist
PASSED tests/test_tablib.py::TablibTestCase::test_add_column_with_header_ignored
PASSED tests/test_tablib.py::TablibTestCase::test_auto_format_detect
PASSED tests/test_tablib.py::TablibTestCase::test_book_export_no_exceptions
PASSED tests/test_tablib.py::TablibTestCase::test_book_import_from_file
PASSED tests/test_tablib.py::TablibTestCase::test_book_unsupported_export
PASSED tests/test_tablib.py::TablibTestCase::test_book_unsupported_loading
PASSED tests/test_tablib.py::TablibTestCase::test_column_stacking
PASSED tests/test_tablib.py::TablibTestCase::test_data_slicing
PASSED tests/test_tablib.py::TablibTestCase::test_databook_add_sheet_accepts_dataset_subclasses
PASSED tests/test_tablib.py::TablibTestCase::test_databook_add_sheet_accepts_only_dataset_instances
PASSED tests/test_tablib.py::TablibTestCase::test_databook_formatter_support_kwargs
PASSED tests/test_tablib.py::TablibTestCase::test_databook_formatter_with_new_lines
PASSED tests/test_tablib.py::TablibTestCase::test_dataset_import_from_file
PASSED tests/test_tablib.py::TablibTestCase::test_datetime_append
PASSED tests/test_tablib.py::TablibTestCase::test_delete
PASSED tests/test_tablib.py::TablibTestCase::test_empty_append
PASSED tests/test_tablib.py::TablibTestCase::test_empty_append_with_headers
PASSED tests/test_tablib.py::TablibTestCase::test_empty_file
PASSED tests/test_tablib.py::TablibTestCase::test_formatters
PASSED tests/test_tablib.py::TablibTestCase::test_formatters_all_cols
PASSED tests/test_tablib.py::TablibTestCase::test_get
PASSED tests/test_tablib.py::TablibTestCase::test_get_col
PASSED tests/test_tablib.py::TablibTestCase::test_header_slicing
PASSED tests/test_tablib.py::TablibTestCase::test_pickle_unpickle_dataset
PASSED tests/test_tablib.py::TablibTestCase::test_remove_duplicates
PASSED tests/test_tablib.py::TablibTestCase::test_row_append
PASSED tests/test_tablib.py::TablibTestCase::test_row_contains
PASSED tests/test_tablib.py::TablibTestCase::test_row_has_tag
PASSED tests/test_tablib.py::TablibTestCase::test_row_has_tags
PASSED tests/test_tablib.py::TablibTestCase::test_row_lpush
PASSED tests/test_tablib.py::TablibTestCase::test_row_no_tag
PASSED tests/test_tablib.py::TablibTestCase::test_row_pickle_unpickle
PASSED tests/test_tablib.py::TablibTestCase::test_row_repr
PASSED tests/test_tablib.py::TablibTestCase::test_row_slicing
PASSED tests/test_tablib.py::TablibTestCase::test_row_stacking
PASSED tests/test_tablib.py::TablibTestCase::test_separator_append
PASSED tests/test_tablib.py::TablibTestCase::test_set_headers_with_incorrect_dimension
PASSED tests/test_tablib.py::TablibTestCase::test_sorting
PASSED tests/test_tablib.py::TablibTestCase::test_str_no_columns
PASSED tests/test_tablib.py::TablibTestCase::test_subset
PASSED tests/test_tablib.py::TablibTestCase::test_transpose
PASSED tests/test_tablib.py::TablibTestCase::test_transpose_empty_dataset
PASSED tests/test_tablib.py::TablibTestCase::test_transpose_multiple_headers
PASSED tests/test_tablib.py::TablibTestCase::test_transpose_with_no_headers
PASSED tests/test_tablib.py::TablibTestCase::test_unicode_append
PASSED tests/test_tablib.py::TablibTestCase::test_unicode_renders_markdown_table
PASSED tests/test_tablib.py::TablibTestCase::test_unknown_format
PASSED tests/test_tablib.py::TablibTestCase::test_wipe
PASSED tests/test_tablib.py::HTMLTests::test_html_databook_export
PASSED tests/test_tablib.py::HTMLTests::test_html_dataset_export
PASSED tests/test_tablib.py::HTMLTests::test_html_export_none_value
PASSED tests/test_tablib.py::HTMLTests::test_html_import
PASSED tests/test_tablib.py::HTMLTests::test_html_import_no_headers
PASSED tests/test_tablib.py::HTMLTests::test_html_import_no_table
PASSED tests/test_tablib.py::HTMLTests::test_html_import_table_id
PASSED tests/test_tablib.py::RSTTests::test_empty_string
PASSED tests/test_tablib.py::RSTTests::test_rst_export_set
PASSED tests/test_tablib.py::RSTTests::test_rst_force_grid
PASSED tests/test_tablib.py::CSVTests::test_csv_column_delete
PASSED tests/test_tablib.py::CSVTests::test_csv_column_select
PASSED tests/test_tablib.py::CSVTests::test_csv_column_sort
PASSED tests/test_tablib.py::CSVTests::test_csv_export
PASSED tests/test_tablib.py::CSVTests::test_csv_export_options
PASSED tests/test_tablib.py::CSVTests::test_csv_format_detect
PASSED tests/test_tablib.py::CSVTests::test_csv_formatter_support_kwargs
PASSED tests/test_tablib.py::CSVTests::test_csv_import_mac_os_lf
PASSED tests/test_tablib.py::CSVTests::test_csv_import_set
PASSED tests/test_tablib.py::CSVTests::test_csv_import_set_commas_embedded
PASSED tests/test_tablib.py::CSVTests::test_csv_import_set_ragged
PASSED tests/test_tablib.py::CSVTests::test_csv_import_set_semicolon_with_spaces
PASSED tests/test_tablib.py::CSVTests::test_csv_import_set_semicolons
PASSED tests/test_tablib.py::CSVTests::test_csv_import_set_skip_lines
PASSED tests/test_tablib.py::CSVTests::test_csv_import_set_with_newlines
PASSED tests/test_tablib.py::CSVTests::test_csv_import_set_with_spaces
PASSED tests/test_tablib.py::CSVTests::test_csv_import_set_with_unicode_str
PASSED tests/test_tablib.py::CSVTests::test_csv_stream_export
PASSED tests/test_tablib.py::CSVTests::test_unicode_csv
PASSED tests/test_tablib.py::TSVTests::test_tsv_export
PASSED tests/test_tablib.py::TSVTests::test_tsv_format_detect
PASSED tests/test_tablib.py::TSVTests::test_tsv_import_set
PASSED tests/test_tablib.py::ODSTests::test_ods_export_dates
PASSED tests/test_tablib.py::ODSTests::test_ods_export_display
PASSED tests/test_tablib.py::ODSTests::test_ods_import_book
PASSED tests/test_tablib.py::ODSTests::test_ods_import_set_ragged
PASSED tests/test_tablib.py::ODSTests::test_ods_import_set_skip_lines
PASSED tests/test_tablib.py::ODSTests::test_ods_unknown_value_type
PASSED tests/test_tablib.py::XLSTests::test_book_import_from_stream
PASSED tests/test_tablib.py::XLSTests::test_xls_date_import
PASSED tests/test_tablib.py::XLSTests::test_xls_export_with_dates
PASSED tests/test_tablib.py::XLSTests::test_xls_format_detect
PASSED tests/test_tablib.py::XLSTests::test_xls_import_with_errors
PASSED tests/test_tablib.py::XLSTests::test_xlsx_import_set_skip_lines
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_bad_chars_sheet_name
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_bad_dimensions
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_cell_values
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_column_width_adaptive
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_column_width_integer
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_column_width_none
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_column_width_value_error
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_export_book_escape_formulae
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_export_book_escape_formulae_in_header
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_export_set_escape_formulae
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_export_set_escape_formulae_in_header
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_format_detect
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_import_book_ragged
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_import_set
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_import_set_ragged
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_import_set_skip_lines
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_raise_ValueError_on_cell_write_during_export
PASSED tests/test_tablib.py::XLSXTests::test_xlsx_wrong_char
PASSED tests/test_tablib.py::JSONTests::test_json_export
PASSED tests/test_tablib.py::JSONTests::test_json_format_detect
PASSED tests/test_tablib.py::JSONTests::test_json_import_book
PASSED tests/test_tablib.py::JSONTests::test_json_import_set
PASSED tests/test_tablib.py::JSONTests::test_json_list_of_lists
PASSED tests/test_tablib.py::YAMLTests::test_yaml_export
PASSED tests/test_tablib.py::YAMLTests::test_yaml_format_detect
PASSED tests/test_tablib.py::YAMLTests::test_yaml_import_book
PASSED tests/test_tablib.py::YAMLTests::test_yaml_import_set
PASSED tests/test_tablib.py::YAMLTests::test_yaml_load
PASSED tests/test_tablib.py::LatexTests::test_latex_escaping
PASSED tests/test_tablib.py::LatexTests::test_latex_export
PASSED tests/test_tablib.py::LatexTests::test_latex_export_caption
PASSED tests/test_tablib.py::LatexTests::test_latex_export_empty_dataset
PASSED tests/test_tablib.py::LatexTests::test_latex_export_no_headers
PASSED tests/test_tablib.py::LatexTests::test_latex_export_none_values
PASSED tests/test_tablib.py::DBFTests::test_dbf_export_set
PASSED tests/test_tablib.py::DBFTests::test_dbf_format_detect
PASSED tests/test_tablib.py::DBFTests::test_dbf_import_set
PASSED tests/test_tablib.py::JiraTests::test_jira_export
PASSED tests/test_tablib.py::JiraTests::test_jira_export_empty_dataset
PASSED tests/test_tablib.py::JiraTests::test_jira_export_no_headers
PASSED tests/test_tablib.py::JiraTests::test_jira_export_none_and_empty_values
PASSED tests/test_tablib.py::DocTests::test_rst_formatter_doctests
PASSED tests/test_tablib.py::CliTests::test_cli_export_github
PASSED tests/test_tablib.py::CliTests::test_cli_export_grid
PASSED tests/test_tablib.py::CliTests::test_cli_export_simple
FAILED tests/test_tablib.py::ODSTests::test_ods_export_import_set - Assertion...
======================== 1 failed, 143 passed in 2.48s =========================

Test errors Included

Test report (JUnit) Included

<?xml version="1.0" encoding="utf-8"?><testsuites name="pytest tests"><testsuite name="pytest" errors="0" failures="1" skipped="0" tests="144" time="2.482" timestamp="2026-11-14T04:36:32.181035+00:00" hostname="3d089b9b84f2"><testcase classname="tests.test_tablib.TablibTestCase" name="test_add_callable_column" time="0.001" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_add_column" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_add_column_no_data_no_headers" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_add_column_no_data_with_headers" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_add_column_with_header_and_data_exists" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_add_column_with_header_and_headers_only_exist" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_add_column_with_header_ignored" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_auto_format_detect" time="0.130" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_book_export_no_exceptions" time="0.007" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_book_import_from_file" time="0.006" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_book_unsupported_export" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_book_unsupported_loading" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_column_stacking" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_data_slicing" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_databook_add_sheet_accepts_dataset_subclasses" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_databook_add_sheet_accepts_only_dataset_instances" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_databook_formatter_support_kwargs" time="0.005" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_databook_formatter_with_new_lines" time="0.005" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_dataset_import_from_file" time="0.005" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_datetime_append" time="0.008" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_delete" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_empty_append" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_empty_append_with_headers" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_empty_file" time="0.001" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_formatters" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_formatters_all_cols" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_get" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_get_col" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_header_slicing" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_pickle_unpickle_dataset" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_remove_duplicates" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_append" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_contains" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_has_tag" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_has_tags" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_lpush" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_no_tag" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_pickle_unpickle" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_repr" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_slicing" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_row_stacking" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_separator_append" time="0.015" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_set_headers_with_incorrect_dimension" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_sorting" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_str_no_columns" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_subset" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_transpose" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_transpose_empty_dataset" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_transpose_multiple_headers" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_transpose_with_no_headers" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_unicode_append" time="0.007" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_unicode_renders_markdown_table" time="0.000" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_unknown_format" time="0.001" /><testcase classname="tests.test_tablib.TablibTestCase" name="test_wipe" time="0.000" /><testcase classname="tests.test_tablib.HTMLTests" name="test_html_databook_export" time="0.001" /><testcase classname="tests.test_tablib.HTMLTests" name="test_html_dataset_export" time="0.000" /><testcase classname="tests.test_tablib.HTMLTests" name="test_html_export_none_value" time="0.000" /><testcase classname="tests.test_tablib.HTMLTests" name="test_html_import" time="0.001" /><testcase classname="tests.test_tablib.HTMLTests" name="test_html_import_no_headers" time="0.000" /><testcase classname="tests.test_tablib.HTMLTests" name="test_html_import_no_table" time="0.000" /><testcase classname="tests.test_tablib.HTMLTests" name="test_html_import_table_id" time="0.001" /><testcase classname="tests.test_tablib.RSTTests" name="test_empty_string" time="0.001" /><testcase classname="tests.test_tablib.RSTTests" name="test_rst_export_set" time="0.001" /><testcase classname="tests.test_tablib.RSTTests" name="test_rst_force_grid" time="0.001" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_column_delete" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_column_select" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_column_sort" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_export" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_export_options" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_format_detect" time="0.001" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_formatter_support_kwargs" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_mac_os_lf" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_set" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_set_commas_embedded" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_set_ragged" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_set_semicolon_with_spaces" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_set_semicolons" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_set_skip_lines" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_set_with_newlines" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_set_with_spaces" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_import_set_with_unicode_str" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_csv_stream_export" time="0.000" /><testcase classname="tests.test_tablib.CSVTests" name="test_unicode_csv" time="0.000" /><testcase classname="tests.test_tablib.TSVTests" name="test_tsv_export" time="0.000" /><testcase classname="tests.test_tablib.TSVTests" name="test_tsv_format_detect" time="0.001" /><testcase classname="tests.test_tablib.TSVTests" name="test_tsv_import_set" time="0.000" /><testcase classname="tests.test_tablib.ODSTests" name="test_ods_export_dates" time="0.005" /><testcase classname="tests.test_tablib.ODSTests" name="test_ods_export_display" time="0.004" /><testcase classname="tests.test_tablib.ODSTests" name="test_ods_export_import_set" time="0.007"><failure message="AssertionError: None != ''">E   AssertionError: None != ''</failure></testcase><testcase classname="tests.test_tablib.ODSTests" name="test_ods_import_book" time="0.008" /><testcase classname="tests.test_tablib.ODSTests" name="test_ods_import_set_ragged" time="0.010" /><testcase classname="tests.test_tablib.ODSTests" name="test_ods_import_set_skip_lines" time="0.006" /><testcase classname="tests.test_tablib.ODSTests" name="test_ods_unknown_value_type" time="0.028" /><testcase classname="tests.test_tablib.XLSTests" name="test_book_import_from_stream" time="0.002" /><testcase classname="tests.test_tablib.XLSTests" name="test_xls_date_import" time="0.001" /><testcase classname="tests.test_tablib.XLSTests" name="test_xls_export_with_dates" time="0.002" /><testcase classname="tests.test_tablib.XLSTests" name="test_xls_format_detect" time="0.002" /><testcase classname="tests.test_tablib.XLSTests" name="test_xls_import_with_errors" time="0.002" /><testcase classname="tests.test_tablib.XLSTests" name="test_xlsx_import_set_skip_lines" time="0.002" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_bad_chars_sheet_name" time="0.014" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_bad_dimensions" time="0.035" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_cell_values" time="0.004" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_column_width_adaptive" time="0.018" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_column_width_integer" time="0.018" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_column_width_none" time="0.017" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_column_width_value_error" time="0.004" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_export_book_escape_formulae" time="0.014" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_export_book_escape_formulae_in_header" time="0.015" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_export_set_escape_formulae" time="0.014" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_export_set_escape_formulae_in_header" time="0.014" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_format_detect" time="0.005" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_import_book_ragged" time="0.003" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_import_set" time="0.008" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_import_set_ragged" time="0.003" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_import_set_skip_lines" time="0.008" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_raise_ValueError_on_cell_write_during_export" time="0.007" /><testcase classname="tests.test_tablib.XLSXTests" name="test_xlsx_wrong_char" time="0.001" /><testcase classname="tests.test_tablib.JSONTests" name="test_json_export" time="0.001" /><testcase classname="tests.test_tablib.JSONTests" name="test_json_format_detect" time="0.000" /><testcase classname="tests.test_tablib.JSONTests" name="test_json_import_book" time="0.001" /><testcase classname="tests.test_tablib.JSONTests" name="test_json_import_set" time="0.000" /><testcase classname="tests.test_tablib.JSONTests" name="test_json_list_of_lists" time="0.001" /><testcase classname="tests.test_tablib.YAMLTests" name="test_yaml_export" time="0.001" /><testcase classname="tests.test_tablib.YAMLTests" name="test_yaml_format_detect" time="0.001" /><testcase classname="tests.test_tablib.YAMLTests" name="test_yaml_import_book" time="0.005" /><testcase classname="tests.test_tablib.YAMLTests" name="test_yaml_import_set" time="0.002" /><testcase classname="tests.test_tablib.YAMLTests" name="test_yaml_load" time="0.001" /><testcase classname="tests.test_tablib.LatexTests" name="test_latex_escaping" time="0.000" /><testcase classname="tests.test_tablib.LatexTests" name="test_latex_export" time="0.000" /><testcase classname="tests.test_tablib.LatexTests" name="test_latex_export_caption" time="0.000" /><testcase classname="tests.test_tablib.LatexTests" name="test_latex_export_empty_dataset" time="0.000" /><testcase classname="tests.test_tablib.LatexTests" name="test_latex_export_no_headers" time="0.000" /><testcase classname="tests.test_tablib.LatexTests" name="test_latex_export_none_values" time="0.000" /><testcase classname="tests.test_tablib.DBFTests" name="test_dbf_export_set" time="0.002" /><testcase classname="tests.test_tablib.DBFTests" name="test_dbf_format_detect" time="0.000" /><testcase classname="tests.test_tablib.DBFTests" name="test_dbf_import_set" time="0.002" /><testcase classname="tests.test_tablib.JiraTests" name="test_jira_export" time="0.000" /><testcase classname="tests.test_tablib.JiraTests" name="test_jira_export_empty_dataset" time="0.000" /><testcase classname="tests.test_tablib.JiraTests" name="test_jira_export_no_headers" time="0.000" /><testcase classname="tests.test_tablib.JiraTests" name="test_jira_export_none_and_empty_values" time="0.000" /><testcase classname="tests.test_tablib.DocTests" name="test_rst_formatter_doctests" time="0.003" /><testcase classname="tests.test_tablib.CliTests" name="test_cli_export_github" time="0.001" /><testcase classname="tests.test_tablib.CliTests" name="test_cli_export_grid" time="0.000" /><testcase classname="tests.test_tablib.CliTests" name="test_cli_export_simple" time="0.000" /></testsuite></testsuites>

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 jazzband/tablib.
  [  18.6s] 💭 (494 chars) "The user describes an issue when loading an ODS file that was exported with empty strings.
The reproduction code is:
```..."
  [  18.6s] 🔧 run_command (13 lines) python3 - <<'PY'
  [  18.9s]   🔧 
  [  36.6s] 💭 (808 chars) "The error is `ValueError: 'value' is not in list` coming from `odf/element.py` (of the 
`odfpy` library, which seems to b..."
  [  36.6s] 🔧 run_command ls src/tablib/formats
  [  36.7s]   → __init__.py
  [  46.4s] 💭 (114 chars) "Okay, it's `src/tablib/formats/_ods.py`.
Now let's examine the `read_cell` method in `src/tablib/formats/_ods.py`."
  [  46.4s] 📖 read_file (src/tablib/formats/_ods.py)
  [  46.5s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '            value_type = 
cell.getAttribute(\'valu…
  [  68.8s] 💭 (990 chars) "The traceback said:
```
  File "/tablib/src/tablib/formats/_ods.py", line 168, in read_cell
    value = cls.read_cell(su..."
  [  68.8s] 📖 read_file (src/tablib/formats/_ods.py)
  [  68.8s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '            value_type = 
cell.getAttribute(\'valu…
  [  71.9s] 💭 (43 chars) "I need to see the signature of `read_cell`."
  [  71.9s] 📖 read_file (src/tablib/formats/_ods.py)
  [  71.9s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '\n    @classmethod\n    def 
read_cell(cls, cell, …
  [ 182.0s] 💭 (6209 chars) "Okay, so `read_cell(cls, cell, value_type=None)`.

The issue is that `cell.getAttribute('value')` is called, and it rais..."
  [ 182.0s] 🔧 run_command grep -n "getAttribute" src/tablib/formats/_ods.py
  [ 182.0s]   → 111:        dset.title = sheet.getAttribute('name')
  [ 194.7s] 💭 (584 chars) "There are other calls:
Line 111: `dset.title = sheet.getAttribute('name')`
Line 114: `return cell.hasChildNodes() or not..."
  [ 194.7s] 📖 read_file (src/tablib/formats/_ods.py)
  [ 194.8s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': "                continue\n       
row_vals = …
  [ 197.8s] 💭 (46 chars) "I need to go further up to see the class name."
  [ 197.8s] 📖 read_file (src/tablib/formats/_ods.py)
  [ 197.9s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '            
wb.spreadsheet.addElement(ws)\n      …
  [ 204.9s] 💭 (184 chars) "The class is `OdsFormat`. (Wait, I don't see the class definition here, but I can see 
`import_sheet` is a `@classmethod`..."
  [ 204.9s] 📖 read_file (src/tablib/formats/_ods.py)
  [ 205.0s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '""" Tablib - ODF 
Support.\n"""\n\nimport datetime…
  [ 207.7s] 💭 (44 chars) "I need to find where `OdsFormat` is defined."
  [ 207.7s] 🔧 run_command grep -n "class .*Format" src/tablib/formats/_ods.py
  [ 207.7s]   → 66:class ODSFormat:
  [ 266.2s] 💭 (3204 chars) "Okay, it's `ODSFormat`.

Now let's implement the `_get_attribute` helper method. I'll add it to `ODSFormat`. Note that `..."
  [ 266.2s] 🔧 run_command grep -n "class ODSFormat:" src/tablib/formats/_ods.py
  [ 266.2s]   → 66:class ODSFormat:
  [ 303.8s] 💭 (2362 chars) "I'll put the helper function before `ODSFormat`.

Wait, I noticed that `import_sheet` is a `classmethod` of `ODSFormat`...."
  [ 303.8s] 📖 read_file (src/tablib/formats/_ods.py)
  [ 303.8s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '            
wb.spreadsheet.addElement(ws)\n      …
  [ 310.7s] 💭 (369 chars) "Okay, now I'll add the `safe_get_attribute` method to `ODSFormat`.
I'll put it before `import_sheet`.

```python
    @st..."
  [ 310.7s] 📖 read_file (src/tablib/formats/_ods.py)
  [ 310.8s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '    
datastylename="datetime-style1",\n    parents…
  [ 344.2s] 💭 (1822 chars) "I'll add the `safe_get_attribute` static method before `import_sheet`.

Wait, I'll put it as a static method before `imp..."
  [ 344.2s] ✏️ edit_file (src/tablib/formats/_ods.py)
  [ 344.4s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'exact', 
'diff': '--- a/src/tab…
  [ 357.5s] 💭 (26 chars) "Now update `import_sheet`."
  [ 357.5s] ✏️ edit_file (src/tablib/formats/_ods.py)
  [ 357.6s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'unescaped', 
'diff': '--- a/src…
  [ 367.0s] 💭 (246 chars) "Now update `read_cell`. This is a bit larger, so I'll do it in a couple of chunks or one 
larger chunk.

Let's do it in o..."
  [ 367.0s] 📖 read_file (src/tablib/formats/_ods.py)
  [ 367.0s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '                    row_vals += 
[\'\'] * (dset.wi…
  [ 385.0s] 💭 (93 chars) "I'll replace the `getAttribute` calls with `cls.safe_get_attribute(cell, ...)`.

Let's do it."
  [ 385.0s] ✏️ edit_file (src/tablib/formats/_ods.py)
  [ 385.1s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'unescaped', 
'diff': '--- a/src…
  [ 421.5s] 💭 (1655 chars) "Wait, I added `TypeError` to the exception handler for `time_value` processing.
```python
-            except ValueError..."
  [ 421.5s] ✏️ edit_file (src/tablib/formats/_ods.py)
  [ 421.7s]   ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'unescaped', 
'diff': '--- a/src…

Native result row

{
  "agent_error": "Agent exceeded session timeout (7.5 min)",
  "duration_seconds": 456.54,
  "error": "Test failures/errors recorded in JUnit XML (failures=1, errors=0)",
  "grade": {
    "collected_tests": 144,
    "competition_junit_ok": false,
    "error": "Test failures/errors recorded in JUnit XML (failures=1, errors=0)",
    "required_issues_count": 1,
    "resolved": false,
    "status_counts": {
      "FAILED": 1,
      "PASSED": 143
    },
    "strict_clean_patch": true,
    "test_exit_code": 1
  },
  "instance_id": "jazzband__tablib-613",
  "pass_idx": 0,
  "patch_chars": 2862,
  "phase1_seconds": 452.86,
  "repo": "jazzband/tablib",
  "request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/jazzband__tablib-613__p0__r2.jsonl",
  "resolved": false,
  "rollout_idx": 2,
  "run_key": "jazzband__tablib-613__p0__r2",
  "strict_clean_patch": true,
  "tool_calls": 18,
  "total_llm_calls": 18,
  "trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_jazzband__tablib-613__p0__r2.json"
}