jazzband__tablib-613

The user is reporting a `ValueError: 'value' is not in list` when loading an ODS file that was exported containing an empty string.

The reproduction code is:
```python
import tablib
book = tablib.Databook()
book.load(
    tablib.Databook(sets=[tablib.Dataset(("",))]).export("ods"),
    format="ods",
)
```

I need to investigate how ODS export and import are handled in `tablib`. Specifically, I should look into `src/tablib/formats/ods.py` or similar.

First, I'll explore the file structure and search for "ods" to find the relevant files.

{
  "command": "grep -rn --include=\"*.py\" \"ods\" src/tablib/formats/"
}

{
  "status": "ok",
  "stdout": "src/tablib/formats/_ods.py:67:    title = 'ods'\nsrc/tablib/formats/_ods.py:68:    extensions = ('ods',)\nsrc/tablib/formats/_ods.py:178:        ods_book = opendocument.load(in_stream)\nsrc/tablib/formats/_ods.py:179:        for sheet in ods_book.spreadsheet.childNodes:\nsrc/tablib/formats/_ods.py:189:        ods_book = opendocument.load(in_stream)\nsrc/tablib/formats/_ods.py:191:        for sheet in ods_book.spreadsheet.childNodes:\nsrc/tablib/formats/__init__.py:16:    \"ods\": {\"package_name\": \"odfpy package\", \"extras_name\": \"ods\"},\nsrc/tablib/formats/__init__.py:76:        # and Dataset.get_<format>/set_<format> methods.\nsrc/tablib/formats/__init__.py:99:            self.register('ods', 'tablib.formats._ods.ODSFormat')\n",
  "stderr": "",
  "exit_code": 0
}

Okay, the relevant file seems to be `src/tablib/formats/_ods.py`.

Let's try to reproduce the issue with a script.

{
  "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"
}

{
  "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
}

The error occurs in `src/tablib/formats/_ods.py` in `read_cell` method.
Specifically, at line 158: `value = cell.getAttribute('value')`.
The `odf` library (specifically `odf/element.py`) raises `ValueError: 'value' is not in list` when `getAttribute('value')` is called on an element that doesn't have a 'value' attribute.

Let's examine `src/tablib/formats/_ods.py`.

{
  "end_line": 200,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 100
}

{
  "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 ''\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':\n                cls.import_sheet(dset, sheet, headers, skip_lines)\n\n    @classmethod\n    def import_book(cls, dbook, in_stream, headers=True):\n        \"\"\"Populate databook `dbook` from ODS stream.\"\"\"\n\n        dbook.wipe()\n\n        ods_book = opendocument.load(in_stream)\n\n        for sheet in ods_book.spreadsheet.childNodes:\n            if sheet.qname[1] != 'table':\n                continue\n            dset = tablib.Dataset()\n            cls.import_sheet(dset, sheet, headers)\n            dbook.add_sheet(dset)\n\n    @classmethod\n    def dset_sheet(cls, dataset, ws):\n        \"\"\"Completes given worksheet from given Dataset.\"\"\"",
  "start_line": 100,
  "end_line": 200,
  "total_lines": 249,
  "is_truncated": false
}

Looking at `read_cell` (lines 121-168):

```python
    @classmethod
    def read_cell(cls, cell, value_type=None):
        def convert_date(val):
            if 'T' in val:
                return dt.datetime.strptime(val, "%Y-%m-%dT%H:%M:%S")
            else:
                return dt.datetime.strptime(val, "%Y-%m-%d").date()

        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 == 'eBoolean': # wait, the code says 'boolean', let me check again
            # looking at read_file output:
            # if value_type == 'boolean':
            #     bool_value = cell.getAttribute('booleanvalue')
            #     return bool_value == 'true'
            pass
```

Wait, the code I saw in `read_file` was:
```python
        if value_type == 'boolean':
            bool_value = cell.getAttribute('booleanvalue')
            return bool_value == 'true'
```

And then:
```python
        if not cell.childNodes:
            value = getattr(cell, 'data', None)
            if value is None:
                value = cell.getAttribute('value')
            if value is None:
                return ''
            if value_type == 'float':
                return float(value)
            if value_type == 'date':
                return convert_date(value)
            return value  # Any other type default to 'string'
```

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')
  File "/usr/local/lib/python3.10/site-packages/odf/element.py", line 547, in getAttribute
    i = allowed_args.index(attr)
ValueError: 'value' is not in list
```

Line 158 in the provided `read_file` output (approximately, numbering might be slightly off because I started at 100) is:
`value = cell.getAttribute('value')`

Yes, `cell.getAttribute('value')` is failing.

The problem is that `cell.getAttribute()` from the `odfpy` library raises `ValueError` if the attribute is not in the allowed list for that element. It doesn't return `None` or an empty string.

Wait, `cell.getAttribute('valuetype')` (line 131) also calls `getAttribute`. Does it fail?
Line 131: `value_type = cell.getAttribute('valuetype')`

In the reproduction case, `tablib.Dataset(("",))` is exported.
An empty string cell might not have a `valuetype` or `value` attribute.

If `cell.getAttribute('valuetype')` also fails, then the code should handle it.

Wait, the traceback shows it failed at line 158, which is inside the `if not cell.childNodes:` block.
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')
```
Line 168 is `value = cls.read_cell(subnode, value_type)`. This is the recursive call.
Line 158 is `value = cell.getAttribute('value')`.

So it entered `read_cell` recursively.
Initial call to `read_cell(cell)`.
If `cell` has child nodes, it iterates over them and calls `read_cell(subnode, value_type)`.
The `subnode` then goes through `read_cell`.
If `subnode` has no child nodes, it reaches `value = cell.getAttribute('value')` and fails.

Actually, the `odfpy` library's `getAttribute` implementation seems to be causing the issue when the attribute doesn't exist.

Let's check if `cell.getAttribute` always raises `ValueError` if the attribute is not present.
Usually, `getAttribute` should return `None` or similar if not found, but it seems `odfpy` enforces an "allowed" list.

The issue is that `tablib` assumes `getAttribute` will return something or not raise an exception.

I should probably wrap these `getAttribute` calls in `try...except ValueError` or check if the attribute exists.

However, `odfpy` elements don't seem to have a simple way to check for attribute existence other than `getAttribute` or looking at `attributes`.

Wait, the traceback shows:
```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
```
This proves that `getAttribute` raises `ValueError` when the requested attribute is not in the `allowed_args` for that element.

I should look at all `getAttribute` calls in `src/tablib/formats/_ods.py`.

1. `dset.title = sheet.getAttribute('name')` (line 112)
2. `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')` (line 114)
3. `value_type = cell.getAttribute('valuetype')` (line 131)
4. `date_value = cell.getAttribute('datevalue')` (line 133)
5. `time_value = cell.getAttribute('timevalue')` (line 136)
6. `bool_value = cell.getAttribute('booleanvalue')` (line 144)
7. `value = cell.getAttribute('value')` (line 158)

Wait, let's look at the reproduction case again.
Empty string `""`.

If I wrap these in a helper method that handles `ValueError`, that would be safer.

Let's see if I can find a better way to get attributes from `odfpy` elements.
If `getAttribute` is the intended way but it raises `ValueError` for missing attributes, then `try...except` is the way.

Wait, maybe I can check if the attribute is present in `cell.attributes`? But `cell.attributes` might be a complex object.

Actually, looking at the `odfpy` documentation (from memory or inferring), `getAttribute` is indeed how it's done, but the behavior of raising `ValueError` is probably meant for when you ask for an attribute that is NOT allowed for that element type, not just when it's missing.

Empty string in ODS might be represented as a cell with `valuetype="string"` but no `value` attribute if it's empty? Or maybe the `valuetype` is missing too?

In the reproduction:
`tablib.Dataset(("",))`. This is 1 row, 1 column, value is `""`.

When exporting to ODS:
Tablib uses `odfpy`. Let's see how it exports. (Wait, `read_file` only showed `import_` methods. Let me look at `export` methods).

Actually, I don't need to see export, I just need to fix import.

If `getAttribute` raises `ValueError`, I should handle it.

Let's check if `cell.getAttribute('valuetype')` also fails.
In my previous reproduction, the traceback showed it failed at `getAttribute('value')` on line 158.
Line 131 `value_type = cell.getAttribute('valuetype')` was called before.

Wait, line 168 called `cls.read_cell(subnode, value_type)`.
In that recursive call, `value_type` was passed.
So it skipped line 131: `if value_type is None: value_type = cell.getAttribute('valuetype')`.

So maybe `getAttribute('valuetype')` did not fail for the parent node.

Let's see:
```python
        if value_type is None:
            value_type = cell.getAttribute('valuetype')
```
If `value_type` is NOT None (because it was passed from the parent), it won't call `getAttribute('valuetype')`.

In the first call to `read_cell(cell)`, `value_type` is `None`. So it calls `cell.getAttribute('valuetype')`. If the cell is empty, does it have a `valuetype`?

If it's a string cell, it usually has `valuetype="string"`.

Let's try to find where `read_cell` is called and how the cells are structured for empty strings.

I will write a small script to inspect the cells of an ODS file containing an empty string.

{
  "command": "python3 - <<'PY'\nimport tablib\nfrom odf import opendocument, text\nfrom io import BytesIO\n\n# Create ODS content\nbook = tablib.Databook(sets=[tablib.Dataset((\"\",))])\nods_content = book.export(\"ods\")\nin_stream = BytesIO(ods_content)\nods_book = opendocument.load(in_stream)\nsheet = ods_book.spreadsheet.childNodes[0]\nprint(f\"Sheet: {sheet.tagName}\")\nfor row in sheet.childNodes:\n    print(f\"Row: {row.tagName}\")\n    for cell in row.childNodes:\n        print(f\"Cell: {cell.tagName}, attributes: {cell.attributes}\")\n        print(f\"Cell children: {cell.childNodes}\")\nPY\n"
}

{
  "status": "ok",
  "stdout": "Sheet: table:table\nRow: table:table-row\nCell: table:table-cell, attributes: {('urn:oasis:names:tc:opendocument:xmlns:office:1.0', 'value-type'): 'string'}\nCell children: [<odf.element.Element object at 0x78bc94c8b340>]\n",
  "stderr": "",
  "exit_code": 0
}

The cell attributes are: `{('urn:oasis:names:tc:opendocument:xmlns:office:1.0', 'value-type'): 'string'}`.
And it has children.
So `value_type = cell.getAttribute('valuetype')` (line 131) probably works because `valuetype` is a handled alias for `value-type` in `odfpy`.

Wait, `cell.childNodes` is NOT empty.
So it goes to:
```python
        for subnode in cell.childNodes:
            value = cls.read_cell(subnode, value_type)
            if value:
                return value
```
The recursive call `read_cell(subnode, value_type)` is made.
Now `subnode` is the child node.
Does `subnode` have child nodes?
The previous script output showed `Cell children: [<odf.element.Element object at 0x78bc94c8b340>]`.
So `subnode` is that Element object.
Does `subnode` have child nodes? Probably not.
So it goes to:
```python
        if not cell.childNodes:
            value = getattr(cell, 'data', None)
            if value is None:
                value = cell.getAttribute('value')
```
And here `cell.getAttribute('value')` is called on the `subnode`.
Since the `subnode` (likely a `table:p` or similar) does not have a `value` attribute, `odfpy` raises `ValueError`.

Yes, this is the issue.

I should handle `ValueError` in `getAttribute` calls or check if the attribute exists.

Wait, if I look at how other formats or other parts of the codebase handle this, or if there is a better way in `odfpy`.

Actually, the simplest fix is to wrap `getAttribute` in a try-except block, or use a helper method.

Let's see if I can use a helper method.

```python
    @classmethod
    def get_attribute(cls, element, name, default=None):
        try:
            return element.getAttribute(name)
        except ValueError:
            return default
```

And then replace all `getAttribute` calls.

But wait, `element.getAttribute(name)` might return `None` if the attribute is present but empty? No, `odfpy` usually returns the value.

Let's check the other `getAttribute` calls.

1. `dset.title = sheet.getAttribute('name')`
2. `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')`
3. `value_type = cell.getAttribute('valuetype')`
4. `date_value = cell.getAttribute('datevalue')`
5. `time_value = cell.getAttribute('timevalue')`
6. `bool_value = cell.getAttribute('booleanvalue')`
7. `value = cell.getAttribute('value')`

If any of these can fail with `ValueError`, they should be wrapped.

Wait, I should check if I can just use `try...except` around the failing part.

```python
            if value is None:
                try:
                    value = cell.getAttribute('value')
                except ValueError:
                    value = None
```

But it's better to be consistent.

Let's see where `getAttribute` is used in other places.

I'll check if there are other `_ods.py` files or other formats that use `odfpy`.
`src/tablib/formats/_ods.py` seems to be the only one.

Let's look at the `read_cell` method again.

```python
    @classmethod
    def read_cell(cls, cell, value_type=None):
        # ...
        if value_type is None:
            value_type = cell.getAttribute('valuetype')
        # ...
```

If `cell.getAttribute('valuetype')` can also fail, then `value_type` will be `ValueError`.

Let's test if `getAttribute('valuetype')` fails for some cells.
In the reproduction case, the first call's cell had `valuetype='string'`.
But what if the cell is completely empty?

If I use `try...except` around every `getAttribute` call, it should be safe.

Let's see if I can implement a helper.

```python
    @classmethod
    def read_cell(cls, cell, value_type=None):
        def get_attr(el, name):
            try:
                return el.getAttribute(name)
            except ValueError:
                return None
        # ...
```

Or since `read_cell` is a `classmethod`, I can't easily add a helper inside it unless it's a nested function.

Wait, I can just use a helper function in the module or a class method.

Let's see where else `getAttribute` is used.
In `import_sheet`.

```python
    @classmethod
    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):
        # ...
        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` won't be set.
If `cell.getAttribute('numbercolumnsrepeated')` fails, `is_real_cell` will crash.

So I should probably wrap all of them.

Let's refine the fix.

In `src/tablib/formats/_ods.py`:

1. Add a helper method `_get_attribute(cell, name)` or just wrap the calls.
2. Update `import_sheet` and `read_cell`.

Wait, I should check if `odfpy` has a better way to get attributes.
Looking at `odfpy` documentation/source, `getAttribute` is indeed intended to be the way, but it's strict about what attributes are "allowed" for each element type.

Actually, for many cells, they might not have all these attributes.

Let's see how we can implement this cleanly.

I will create a helper method `_get_attribute` in `ODSFormat` class.

Wait, `ODSFormat` is the class in `src/tablib/formats/_ods.py`.

```python
class ODSFormat(Format):
    # ...
```

I'll add:
```python
    @classmethod
    def _get_attribute(cls, element, name):
        try:
            return element.getAttribute(name)
        except ValueError:
            return None
```

And then replace:
- `sheet.getAttribute('name')` -> `cls._get_attribute(sheet, 'name')`
- `cell.getAttribute('numbercolumnsrepeated')` -> `cls._get_attribute(cell, 'numbercolumnsrepeated')`
- `cell.getAttribute('valuetype')` -> `cls._get_attribute(cell, 'valuetype')`
- `cell.getAttribute('datevalue')` -> `cls._get_attribute(cell, 'datevalue')`
- `cell.getAttribute('timevalue')` -> `cls._get_attribute(cell, 'timevalue')`
- `cell.getAttribute('booleanvalue')` -> `cls._get_attribute(cell, 'booleanvalue')`
- `cell.getAttribute('value')` -> `cls._get_attribute(cell, 'value')`

Wait, `is_real_cell` is a nested function in `import_sheet`.

```python
    @classmethod
    def import_sheet(cls, dset, sheet, headers=True, skip_lines=0):
        # ...
        def is_real_cell(cell):
            return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')
```

I can change it to:
```python
        def is_real_cell(cell):
            return cell.hasChildNodes() or not cls._get_attribute(cell, 'numbercolumnsrepeated')
```

Let's review `read_cell` again.

```python
    @classmethod
    def read_cell(cls, cell, value_type=None):
        # ...
        if value_type is None:
            value_type = cell.getAttribute('valuetype')
        if value_type == 'date':
            date_value = cell.getAttribute('datevalue')
            # ...
```

If I use `_get_attribute(cell, 'valuetype')`, it returns `None` if it fails.

One detail: if `getAttribute` raises `ValueError`, it means the attribute is not allowed. If it returns `None`, it means it's not present but allowed? Or maybe `odfpy` always raises `ValueError` if it's not present?

Actually, the traceback says:
```python
  File "/usr/local/lib/python3.10/site-packages/odf/element.py", line 547, in getAttribute
    i = allowed_args.index(attr)
ValueError: 'value' is not in list
```
This means `attr` ('value') is not in `allowed_args`.
The `allowed_args` are the attributes that are valid for that element type.

For a `table:table-cell`, `value-type` is an allowed attribute.
For a `table:p` (paragraph) inside a cell, `value` might not be an allowed attribute.

So when `read_cell` is called recursively on `subnode`, the `subnode` might be a paragraph, and calling `getAttribute('value')` on it fails because paragraphs don't have a `value` attribute in ODS.

This makes sense.

Now, let's implement the fix.

I'll read the file again to make sure I have the exact lines for `edit_file`.

{
  "end_line": 200,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 100
}

{
  "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 ''\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':\n                cls.import_sheet(dset, sheet, headers, skip_lines)\n\n    @classmethod\n    def import_book(cls, dbook, in_stream, headers=True):\n        \"\"\"Populate databook `dbook` from ODS stream.\"\"\"\n\n        dbook.wipe()\n\n        ods_book = opendocument.load(in_stream)\n\n        for sheet in ods_book.spreadsheet.childNodes:\n            if sheet.qname[1] != 'table':\n                continue\n            dset = tablib.Dataset()\n            cls.import_sheet(dset, sheet, headers)\n            dbook.add_sheet(dset)\n\n    @classmethod\n    def dset_sheet(cls, dataset, ws):\n        \"\"\"Completes given worksheet from given Dataset.\"\"\"",
  "start_line": 100,
  "end_line": 200,
  "total_lines": 249,
  "is_truncated": false
}

I'll add the `_get_attribute` method and update the others.

First, I'll add `_get_attribute` at the beginning of the class or before `import_sheet`.

Wait, let's see where the class starts.

{
  "end_line": 100,
  "filepath": "src/tablib/formats/_ods.py",
  "start_line": 1
}

{
  "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\",\n    family=\"table-cell\",\n)\n\ndatetime_style = number.DateStyle(name=\"datetime-style1\")\nset_date_style(datetime_style)\ndatetime_style.addElement(number.Text(text=\" \"))\nset_time_style(datetime_style)\ndts = style.Style(\n    name=\"dts1\",\n    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)",
  "start_line": 1,
  "end_line": 100,
  "total_lines": 249,
  "is_truncated": false
}

I'll add `_get_attribute` after `extensions = ('ods',)` and before `export_set`.

Actually, let's just put it before `import_sheet` to keep it closer to where it's used.

Wait, I'll put it right after `extensions = ('ods',)` for better visibility.

```python
class ODSFormat:
    title = 'ods'
    extensions = ('ods',)

    @classmethod
    def _get_attribute(cls, element, name):
        try:
            return element.getAttribute(name)
        except ValueError:
            return None
```

Now I will apply the changes.

{
  "filepath": "src/tablib/formats/_ods.py",
  "new_string": "    extensions = ('ods',)\n\n    @classmethod\n    def _get_attribute(cls, element, name):\n        try:\n            return element.getAttribute(name)\n        except ValueError:\n            return None\n\n    @classmethod\n    def export_set(cls, dataset):",
  "old_string": "    extensions = ('ods',)\n\n    @classmethod\n    def export_set(cls, dataset):"
}

{
  "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@@ -66,6 +66,13 @@\n class ODSFormat:\n     title = 'ods'\n     extensions = ('ods',)\n+\n+    @classmethod\n+    def _get_attribute(cls, element, name):\n+        try:\n+            return element.getAttribute(name)\n+        except ValueError:\n+            return None\n \n     @classmethod\n     def export_set(cls, dataset):\n",
  "is_truncated": false
}

Now I'll update `import_sheet` and `read_cell`.

First `import_sheet`:
```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')
```

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

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

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

{
  "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._get_attribute(sheet, 'name')\n\n        def is_real_cell(cell):\n            return cell.hasChildNodes() or not cls._get_attribute(cell, 'numbercolumnsrepeated')",
  "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')"
}

{
  "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@@ -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._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._get_attribute(cell, 'numbercolumnsrepeated')\n \n         for i, row in enumerate(sheet.childNodes):\n             if row.tagName != 'table:table-row':\n",
  "is_truncated": false
}

Now for `read_cell`. This is a bigger block.

```python
    @classmethod
    def read_cell(cls, cell, value_type=None):
        def convert_date(val):
            if 'T' in val:
                return dt.datetime.strptime(val, "%Y-%m-%dT%H:%M:%S")
            else:
                return dt.datetime.strptime(val, "%Y-%m-%d").date()

        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 ''
            if value_type == 'float':
                return float(value)
            if value_type == 'date':
                return convert_date(value)
            return value  # Any other type default to 'string'

        for subnode in cell.childNodes:
            value = cls.read_cell(subnode, value_type)
            if value:
                return value
```

Updating to:
```python
    @classmethod
    def read_cell(cls, cell, value_type=None):
        def convert_date(val):
            if 'T' in val:
                return dt.datetime.strptime(val, "%Y-%m-%dT%H:%M:%S")
            else:
                return dt.datetime.strptime(val, "%Y-%m-%d").date()

        if value_type is None:
            value_type = cls._get_attribute(cell, 'valuetype')
        if value_type == 'date':
            date_value = cls._get_attribute(cell, 'datevalue')
            if date_value:
                return convert_date(date_value)
        if value_type == 'time':
            time_value = cls._get_attribute(cell, '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 = cls._get_attribute(cell, 'booleanvalue')
            return bool_value == 'true'
        if not cell.childNodes:
            value = getattr(cell, 'data', None)
            if value is None:
                value = cls._get_attribute(cell, 'value')
            if value is None:
                return ''
            if value_type == 'float':
                return float(value)
            if value_type == 'date':
                return convert_date(value)
            return value  # Any other type default to 'string'

        for subnode in cell.childNodes:
            value = cls.read_cell(subnode, value_type)
            if value:
                return value
```

I'll use a few `edit_file` calls or one large one. I'll use one large one.

Wait, let me double check the indentation and context.

{
  "filepath": "src/tablib/formats/_ods.py",
  "new_string": "    @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 = cls._get_attribute(cell, 'valuetype')\n        if value_type == 'date':\n            date_value = cls._get_attribute(cell, 'datevalue')\n            if date_value:\n                return convert_date(date_value)\n        if value_type == 'time':\n            time_value = cls._get_attribute(cell, '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 = cls._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._get_attribute(cell, '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",
  "old_string": "    @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 ''\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"
}

{
  "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._get_attribute(cell, 'valuetype')\n         if value_type == 'date':\n-            date_value = cell.getAttribute('datevalue')\n+            date_value = cls._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._get_attribute(cell, '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+            bool_value = cls._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._get_attribute(cell, 'value')\n             if value is None:\n                 return ''\n             if value_type == 'float':\n",
  "is_truncated": false
}