ROLLOUT 0 · jazzband/tablib
jazzband__tablib-613
Not solved
457 stotal time
18tool calls
20model calls
7,262tokens generated
186,644prompt tokens read
Test failures/errors recorded in JUnit XML (failures=1, errors=0)
⚠ The request log has 20 model calls but the trace has 21 agent calls, so tokens are listed separately instead of beside each turn.
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System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`. Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run. ## Critical Environment & Grader Rules 1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`. 2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files. 3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`. 4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks: `pytest path/to/test_file.py -k pattern -q --tb=short --no-header` If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off. 5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission. ## Execution Protocol ### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls) - The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories. - Run a single compound `run_command` with `grep -rn --include="*.py"` to locate: (a) the exact symbols, error strings, or functions from the problem description, (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and (c) the closest existing unit test files under `tests/`. ### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls) - Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests. - Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types. ### Phase 3 — Reproduce Bug in One Call (1 tool call) - Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts. ### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls) - Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`. - Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests. - **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`. ### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls) - Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`. - Run `git status --short && git diff` via `run_command`. Confirm: - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately), - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched), - Minimal, clean diff with valid imports and indentation. - Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 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 16 s163 tokens out2,641 prompt tokens
The user is reporting a `ValueError: 'value' is not in list` when loading an ODS file that contains 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 find where ODS loading is implemented in `tablib` and fix the bug.
First, I'll explore the codebase to find the ODS import/export logic.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"ods\" src/tablib/formats"
}Result of run_command 804 characters
{
"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
}Turn 2at 30 s153 tokens out3,109 prompt tokens
It looks like `src/tablib/formats/_ods.py` is where the ODS format is implemented. Now I'll reproduce the bug with a script.
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 print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\nPY\n"
}Result of run_command 1,113 characters
{
"status": "ok",
"stdout": "Caught exception: 'value' is not in list\n",
"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
}Turn 3at 49 s147 tokens out3,695 prompt tokens
The traceback shows the error happens in `src/tablib/formats/_ods.py` in `read_cell` method when calling `cell.getAttribute('value')`.
The `odf` library (which `tablib` uses for ODS) throws `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`.
TOOL CALL · read_file
{
"end_line": 180,
"filepath": "src/tablib/formats/_ods.py",
"start_line": 130
}Result of read_file 2,149 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\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": 130,
"end_line": 180,
"total_lines": 249,
"is_truncated": false
}Turn 4at 157 s1,614 tokens out4,458 prompt tokens
The `read_cell` method is where the problem lies.
Specifically, lines 156-160 (estimated from the read range):
```python
if not cell.childNodes:
value = getattr(cell, 'data', None)
if value is None:
value = cell.getAttribute('value')
if value is None:
return ''
```
The traceback said:
```
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
```
It seems `cell.getAttribute('value')` is called when `cell.childNodes` is empty and `getattr(cell, 'data', None)` is `None`.
If `odfpy`'s `getAttribute` raises `ValueError` when the attribute is missing instead of returning `None` (as might be expected), then this is the cause.
Wait, if `getAttribute` raises `ValueError` when the attribute is missing, then `cell.getAttribute('valuetype')` at line 134 might also raise `ValueError`?
```python
if value_type is None:
value_type = cell.getAttribute('valuetype')
```
Let's check if `valuetype` is always present.
Actually, let's check the `odfpy` `getAttribute` behavior from the error message.
`ValueError: 'value' is not in list` suggests that `odfpy` maintains a list of allowed attributes for each element, and it's doing `allowed_args.index(attr)`. If `attr` is not in `allowed_args`, it raises `ValueError`.
So, any call to `getAttribute` with an attribute that isn't allowed for that specific element will fail.
We should probably wrap `getAttribute` in a try-except block or check if the attribute is allowed.
However, the fastest way is probably to try-except `ValueError`.
Let's see where else `getAttribute` is called in `read_cell`.
- Line 134: `value_type = cell.getAttribute('valuetype')`
- Line 137: `date_value = cell.getAttribute('datevalue')`
- Line 141: `time_value = cell.getAttribute('timevalue')`
- Line 147: `bool_value = cell.getAttribute('booleanvalue')`
- Line 158: `value = cell.getAttribute('value')`
If an empty string is saved to ODS, it probably doesn't have these attributes.
Let's verify if `valuetype` also fails.
In the reproduction case: `tablib.Dataset(("",))`. An empty string probably doesn't have a specific value type, or maybe it's just a cell without any data.
Let's look at the `read_cell` function again.
```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
```
If `cell.getAttribute('valuetype')` raises `ValueError`, the current code will crash before even getting to `cell.getAttribute('value')`.
Wait, the traceback said the error was at line 158 (in my local counting, it's `value = cell.getAttribute('value')`).
Traceback:
```
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')
```
Wait, it calls `read_cell` recursively.
Line 168 is:
```python
for subnode in cell.childNodes:
value = cls.read_cell(subnode, value_type)
```
And the inner call to `read_cell` (line 158) failed.
So `cell` in the inner call had `childNodes` empty (since it's a subnode), and it tried to get `getAttribute('value')`.
Actually, if `cell` is a subnode, `value_type` might be passed from the parent.
If `cell.getAttribute('valuetype')` also raises `ValueError`, then the problem is more widespread. Let's check if it does.
I'll modify the reproduction script to see if other `getAttribute` calls fail.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport tablib\nfrom tablib.formats._ods import ODSFormat\n\n# Create a dummy cell that mimics the behavior of the failing cell\n# Since we don't have easy access to create an odf cell, we just trust the traceback.\n\nbook = tablib.Databook()\ntry:\n book.load(\n tablib.Databook(sets=[tablib.Dataset((\"\",))]).export(\"ods\"),\n format=\"ods\",\n )\n print(\"Success!\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\nPY\n"
}Result of run_command 1,113 characters
{
"status": "ok",
"stdout": "Caught exception: 'value' is not in list\n",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 9, 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
}Turn 5at 209 s1,072 tokens out6,505 prompt tokens
The traceback shows that `read_cell` is called first for a cell, then it iterates over `cell.childNodes` and calls `read_cell` for each subnode.
In the reproduction case:
1. `import_sheet` calls `read_cell(cell)`.
2. `read_cell(cell)`:
- `value_type = cell.getAttribute('valuetype')` (presumably works or returns None)
- `cell.childNodes` is NOT empty (because it later calls `read_cell` for subnodes).
- It enters the loop: `for subnode in cell.childNodes: value = cls.read_cell(subnode, value_type)`.
3. `read_cell(subnode, value_type)`:
- `value_type` is passed.
- `subnode.childNodes` is empty.
- `value = getattr(subnode, 'data', None)` (presumably None).
- `value = subnode.getAttribute('value')` -> **ValueError: 'value' is not in list**.
So it seems `getAttribute` is the problem. We should wrap any `getAttribute` call that might fail in a try-except.
Wait, is there a better way to check if an attribute exists in `odfpy`?
Looking at the ODF documentation or the code of `odfpy` (of course I cannot look at external docs, but the error message is very clear: `i = allowed_args.index(attr)`).
If we wrap `getAttribute` in a try-except, we can return `None` on `ValueError`.
Let's see where all the `getAttribute` calls are in `src/tablib/formats/_ods.py`.
Line 134: `value_type = cell.getAttribute('valuetype')`
Line 137: `date_value = cell.getAttribute('datevalue')`
Line 141: `time_value = cell.getAttribute('timevalue')`
Line 147: `bool_value = cell.getAttribute('booleanvalue')`
Line 158: `value = cell.getAttribute('value')`
Wait, if I wrap every `getAttribute` call, it might be a lot of boilerplate.
Maybe I can define a helper method:
```python
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
```
And then replace call to `cell.getAttribute(...)` with `cls.get_attribute(cell, ...)`.
Let's check the `read_cell` implementation again.
```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
```
Actually, I can just wrap the `getAttribute` calls in `try-except ValueError`.
Let's check if there are any other `getAttribute` calls in the file.
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
}Turn 6at 212 s53 tokens out7,744 prompt tokens
Wait, the line numbers from `grep` are different from what I had before. Let's re-read the file.
TOOL CALL · read_file
{
"filepath": "src/tablib/formats/_ods.py"
}Result of read_file 5,003 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\",\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)\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",
"start_line": 1,
"end_line": 150,
"total_lines": 249,
"is_truncated": true
}Turn 7at 216 s47 tokens out9,318 prompt tokens
I need the rest of `read_cell` as well.
TOOL CALL · read_file
{
"filepath": "src/tablib/formats/_ods.py",
"start_line": 151
}Result of read_file 4,161 characters
{
"status": "ok",
"filepath": "src/tablib/formats/_ods.py",
"content": " 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.\"\"\"\n _package = dataset._package(dicts=False)\n\n for i, sep in enumerate(dataset._separators):\n _offset = i\n _package.insert((sep[0] + _offset), (sep[1],))\n\n for row_number, row in enumerate(_package, start=1):\n is_header = row_number == 1 and dataset.headers\n style = bold if is_header else None\n odf_row = table.TableRow(stylename=style)\n ws.addElement(odf_row)\n for j, col in enumerate(row):\n if isinstance(col, numbers.Number):\n cell = table.TableCell(valuetype=\"float\", value=col)\n elif isinstance(col, dt.datetime):\n cell = table.TableCell(\n valuetype=\"date\",\n datevalue=col.strftime('%Y-%m-%dT%H:%M:%S'),\n stylename=dts,\n )\n cell.addElement(text.P(text=col.strftime('%Y-%m-%d %H:%M:%S')))\n elif isinstance(col, dt.date):\n date_value = col.strftime('%Y-%m-%d')\n cell = table.TableCell(valuetype=\"date\", datevalue=date_value, stylename=ds)\n cell.addElement(text.P(text=date_value))\n elif isinstance(col, dt.time):\n cell = table.TableCell(\n valuetype=\"time\",\n timevalue=col.strftime('PT%HH%MM%SS'),\n stylename=ts,\n )\n cell.addElement(text.P(text=col.strftime('%H:%M:%S')))\n elif col is None:\n cell = table.TableCell(valuetype=\"void\")\n else:\n cell = table.TableCell(valuetype=\"string\")\n cell.addElement(text.P(text=str(col), stylename=style))\n odf_row.addElement(cell)\n\n @classmethod\n def detect(cls, stream):\n if isinstance(stream, bytes):\n # load expects a file-like object.\n stream = BytesIO(stream)\n try:\n opendocument.load(stream)\n return True\n except Exception:\n return False",
"start_line": 151,
"end_line": 249,
"total_lines": 249,
"is_truncated": false
}Turn 8at 251 s678 tokens out10,499 prompt tokens
I'll implement a helper method `get_attribute` to handle the `ValueError` and use it everywhere `getAttribute` is called.
Wait, `ODSFormat` is a class with `@classmethod`s. I should probably make `get_attribute` a `@classmethod` too.
Current `getAttribute` calls:
1. Line 107: `dset.title = sheet.getAttribute('name')`
2. Line 110: `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')`
3. Line 137: `value_type = cell.getAttribute('valuetype')` (my previous count was slightly off, let's use the file content)
4. Line 140: `date_value = cell.getAttribute('datevalue')`
5. Line 144: `time_value = cell.getAttribute('timevalue')`
6. Line 150: `bool_value = cell.getAttribute('booleanvalue')`
7. Line 156: `value = cell.getAttribute('value')`
Let's check the file content again to be sure about lines.
Line 107: `dset.title = sheet.getAttribute('name')`
Line 110: `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')`
Line 137: `value_type = cell.getAttribute('valuetype')`
Line 140: `date_value = cell.getAttribute('datevalue')`
Line 144: `time_value = cell.getAttribute('timevalue')`
Line 150: `bool_value = cell.getAttribute('booleanvalue')`
Line 156: `value = cell.getAttribute('value')`
Actually, I'll just wrap each call in a try-except if I don't want to introduce a new method, but a new method is cleaner.
Let's try implementing `get_attribute`.
```python
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
```
Wait, if `cell` is sometimes an ODS element, we should make sure `cell` actually has `getAttribute`.
The elements in `odfpy` should have `getAttribute`.
Let's apply the changes.
First, add `get_attribute` method to `ODSFormat`.
TOOL CALL · edit_file
{
"filepath": "src/tablib/formats/_ods.py",
"new_string": " @classmethod\n def get_attribute(cls, cell, attr):\n try:\n return cell.getAttribute(attr)\n except ValueError:\n return None\n\n @classmethod\n def export_set(cls, dataset):",
"old_string": "class ODSFormat:\n title = 'ods'\n extensions = ('ods',)\n\n @classmethod\n def export_set(cls, dataset):"
}Result of edit_file 531 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@@ -63,9 +63,12 @@\n )\n \n \n-class ODSFormat:\n- title = 'ods'\n- extensions = ('ods',)\n+ @classmethod\n+ def get_attribute(cls, cell, attr):\n+ try:\n+ return cell.getAttribute(attr)\n+ except ValueError:\n+ return None\n \n @classmethod\n def export_set(cls, dataset):\n",
"is_truncated": false
}Turn 9at 276 s531 tokens out11,378 prompt tokens
Wait, the `edit_file` result looks a bit weird. It seems it removed `title` and `extensions` from the class definition or moved them?
Looking at the diff:
```diff
-class ODSFormat:
- title = 'ods'
- extensions = ('ods',)
+ @classmethod
+ def get_attribute(cls, cell, attr):
+ try:
+ return cell.getAttribute(attr)
+ except ValueError:
+ return None
```
It seems I replaced `class ODSFormat:\n title = 'ods'\n extensions = ('ods',)` with the method, and the `class ODSFormat:` line itself was replaced by the method body!
I messed up the replacement. I need to make sure the class definition remains.
Current state of `src/tablib/formats/_ods.py` around line 63:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):
```
I tried to replace:
`old_string`:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):
```
with
`new_string`:
```python
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):
```
Wait, I didn't include `class ODSFormat:` in the `new_string`.
Let me fix this.
Turn 10at 276 s
<|tool_call>call,edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|>class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):<|"|>,old_string:<|"|>class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):<|"|>}<tool_call|>
System instructions 286 characters
Your previous response reached the token limit before the tool call finished closing (<|tool_call|> was cut off). Do NOT repeat your prior reasoning in thought—emit your next tool call immediately, and if calling edit_file or write_file, split the change into smaller incremental edits.
Turn 11at 338 s1,008 tokens out8,198 prompt tokens
The previous `edit_file` call was meant to add `get_attribute` to `ODSFormat`, but it seemed I messed up the structure or it got truncated.
Looking at the previous `edit_file` output:
```diff
--- a/src/tablib/formats/_ods.py
+++ b/src/tablib/formats/_ods.py
@@ -63,9 +63,12 @@
)
-class ODSFormat:
- title = 'ods'
- extensions = ('ods',)
+ @classmethod
+ def get_attribute(cls, cell, attr):
+ try:
+ return cell.getAttribute(attr)
+ except ValueError:
+ return None
@classmethod
def export_set(cls, dataset):
```
It replaced `class ODSFormat: title = 'ods' extensions = ('ods',)` with the `get_attribute` method, BUT it didn't keep the class definition! It indented `get_attribute` but removed the class header and title/extensions. That's a bug.
Wait, actually, the `old_string` was:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):
```
And `new_string` was:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):
```
Wait, I see what happened in the previous `edit_file`. I didn't actually send a `new_string` that started with `class ODSFormat:`.
Let me check the actual tool call I made:
```python
edit_file(filepath="src/tablib/formats/_ods.py",
new_string=" @classmethod\n def get_attribute(cls, cell, attr):\n try:\n return cell.getAttribute(attr)\n except ValueError:\n return None\n\n @classmethod\n def export_set(cls, dataset):",
old_string="class ODSFormat:\n title = 'ods'\n extensions = ('ods',)\n\n @classmethod\n def export_set(cls, dataset):")
```
YES, I accidentally replaced the class definition and its attributes with just the method. I need to fix this immediately.
I will first restore `ODSFormat` and then properly add `get_attribute`.
Actually, I'll just do it in one go now.
Wait, I need to check if I should use `get_attribute` everywhere `getAttribute` was used.
The traceback showed:
`ValueError: 'value' is not in list` in `odf/element.py` line 547 `i = allowed_args.index(attr)`.
This happens when calling `cell.getAttribute('value')`.
Let's see where `getAttribute` is used in `src/tablib/formats/_ods.py`:
- line 111: `sheet.getAttribute('name')`
- line 114: `cell.getAttribute('numbercolumnsrepeated')`
- line 140: `cell.getAttribute('valuetype')`
- line 142: `cell.getAttribute('datevalue')`
- line 146: `cell.getAttribute('timevalue')`
- line 153: `cell.getAttribute('booleanvalue')`
- line 158: `cell.getAttribute('value')`
All of these should probably use the safe `get_attribute` helper to avoid `ValueError`.
But first, fix the broken file.
TOOL CALL · edit_file
{
"filepath": "src/tablib/formats/_ods.py",
"new_string": "class ODSFormat:\n title = 'ods'\n extensions = ('ods',)\n\n @classmethod\n def export_set(cls, dataset):",
"old_string": " @classmethod\n def get_attribute(cls, cell, attr):\n try:\n return cell.getAttribute(attr)\n except ValueError:\n return None\n\n @classmethod\n def export_set(cls, dataset):"
}Result of edit_file 531 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@@ -63,12 +63,9 @@\n )\n \n \n- @classmethod\n- def get_attribute(cls, cell, attr):\n- try:\n- return cell.getAttribute(attr)\n- except ValueError:\n- return None\n+class ODSFormat:\n+ title = 'ods'\n+ extensions = ('ods',)\n \n @classmethod\n def export_set(cls, dataset):\n",
"is_truncated": false
}Turn 12at 345 s186 tokens out9,407 prompt tokens
Okay, now the file is back to its original state. Now I will add `get_attribute` correctly and use it everywhere. I'll add `get_attribute` first.
TOOL CALL · edit_file
{
"filepath": "src/tablib/formats/_ods.py",
"new_string": "class ODSFormat:\n title = 'ods'\n extensions = ('ods',)\n\n @classmethod\n def get_attribute(cls, cell, attr):\n try:\n return cell.getAttribute(attr)\n except ValueError:\n return None\n\n @classmethod\n def export_set(cls, dataset):",
"old_string": "class ODSFormat:\n title = 'ods'\n extensions = ('ods',)\n\n @classmethod\n def export_set(cls, dataset):"
}Result of edit_file 524 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@@ -66,6 +66,13 @@\n class ODSFormat:\n title = 'ods'\n extensions = ('ods',)\n+\n+ @classmethod\n+ def get_attribute(cls, cell, attr):\n+ try:\n+ return cell.getAttribute(attr)\n+ except ValueError:\n+ return None\n \n @classmethod\n def export_set(cls, dataset):\n",
"is_truncated": false
}Turn 13at 372 s573 tokens out9,787 prompt tokens
Now I will replace all `cell.getAttribute(...)` calls with `cls.get_attribute(cell, ...)` inside the methods of `ODSFormat`.
Wait, `import_sheet` is a `@classmethod`. Inside `import_sheet`, `cls` is `ODSFormat`.
Let's list them:
1. `dset.title = sheet.getAttribute('name')` -> `dset.title = cls.get_attribute(sheet, 'name')`
2. `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')` -> `return cell.hasChildNodes() or not cls.get_attribute(cell, 'numbercolumnsrepeated')`
3. `value_type = cell.getAttribute('valuetype')` -> `value_type = cls.get_attribute(cell, 'valuetype')`
4. `date_value = cell.getAttribute('datevalue')` -> `date_value = cls.get_attribute(cell, 'datevalue')`
5. `time_value = cell.getAttribute('timevalue')` -> `time_value = cls.get_attribute(cell, 'timevalue')`
6. `bool_value = cell.getAttribute('booleanvalue')` -> `bool_value = cls.get_attribute(cell, 'booleanvalue')`
7. `value = cell.getAttribute('value')` -> `value = cls.get_attribute(cell, 'value')`
I'll do these in blocks to avoid too many `edit_file` calls.
First block: `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.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')"
}Result of edit_file 803 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.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
}Turn 14at 385 s291 tokens out10,640 prompt tokens
Second block: `read_cell`.
TOOL CALL · edit_file
{
"filepath": "src/tablib/formats/_ods.py",
"new_string": " 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()",
"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()"
}Result of edit_file 984 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@@ -144,13 +144,13 @@\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",
"is_truncated": false
}Turn 15at 394 s222 tokens out11,253 prompt tokens
Third block: `read_cell` continuation.
TOOL CALL · edit_file
{
"filepath": "src/tablib/formats/_ods.py",
"new_string": " 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 ''",
"old_string": " 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 ''"
}Result of edit_file 928 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@@ -157,12 +157,12 @@\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
}Turn 16at 398 s129 tokens out11,757 prompt tokens
Now let's verify the fix with the reproduction script.
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 print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\nPY\n"
}Result of run_command 70 characters
{
"status": "ok",
"stdout": "Success!\n",
"stderr": "",
"exit_code": 0
}Turn 17at 405 s57 tokens out11,927 prompt tokens
Great! The reproduction script now passes. Now I should check if there are any existing tests that I might have broken. I'll look for ods tests.
TOOL CALL · run_command
{
"command": "find tests -name \"*ods*\""
}Result of run_command 142 characters
{
"status": "ok",
"stdout": "tests/files/unknown_value_type.ods\ntests/files/ragged.ods\ntests/files/book.ods\n",
"stderr": "",
"exit_code": 0
}Turn 18at 407 s36 tokens out12,054 prompt tokens
Those are files. Let's find test python files.
TOOL CALL · run_command
{
"command": "grep -rn \"ods\" tests/"
}Result of run_command 2,909 characters
{
"status": "ok",
"stdout": "tests/test_tablib.py:56: 'json', 'yaml', 'csv', 'tsv', 'xls', 'xlsx', 'ods', 'html', 'jira',\ntests/test_tablib.py:70: del registry._formats['ods']\ntests/test_tablib.py:71: msg = (r\"The 'ods' format is not available. You may want to install the \"\ntests/test_tablib.py:72: \"odfpy package \\\\(or `pip install \\\"tablib\\\\[ods\\\\]\\\"`\\\\).\")\ntests/test_tablib.py:74: data.export('ods')\ntests/test_tablib.py:409: _ods = self.founders.export('ods')\ntests/test_tablib.py:410: self.assertEqual(tablib.detect_format(_ods), 'ods')\ntests/test_tablib.py:1181: def test_ods_export_import_set(self):\ntests/test_tablib.py:1189: _ods = data.ods\ntests/test_tablib.py:1190: data.ods = _ods\ntests/test_tablib.py:1201: def test_ods_export_display(self):\ntests/test_tablib.py:1208: _ods = data.ods\ntests/test_tablib.py:1209: ods_book = opendocument.load(BytesIO(_ods))\ntests/test_tablib.py:1210: styles = {style.getAttribute('name'): style for style in ods_book.styles.childNodes}\ntests/test_tablib.py:1213: for style in ods_book.automaticstyles.childNodes\ntests/test_tablib.py:1224: cells = ods_book.spreadsheet.getElementsByType(table.TableRow)[1].childNodes\ntests/test_tablib.py:1234: def test_ods_import_book(self):\ntests/test_tablib.py:1235: ods_source = Path(__file__).parent / 'files' / 'book.ods'\ntests/test_tablib.py:1236: with ods_source.open('rb') as fh:\ntests/test_tablib.py:1237: dbook = tablib.Databook().load(fh, 'ods')\ntests/test_tablib.py:1240: def test_ods_import_set_skip_lines(self):\ntests/test_tablib.py:1244: _ods = data.ods\ntests/test_tablib.py:1245: new_data = tablib.Dataset().load(_ods, skip_lines=2)\ntests/test_tablib.py:1248: def test_ods_import_set_ragged(self):\ntests/test_tablib.py:1249: ods_source = Path(__file__).parent / 'files' / 'ragged.ods'\ntests/test_tablib.py:1250: with ods_source.open('rb') as fh:\ntests/test_tablib.py:1251: dataset = tablib.Dataset().load(fh, 'ods')\ntests/test_tablib.py:1254: def test_ods_unknown_value_type(self):\ntests/test_tablib.py:1255: # The ods file was trafficked to contain:\ntests/test_tablib.py:1257: ods_source = Path(__file__).parent / 'files' / 'unknown_value_type.ods'\ntests/test_tablib.py:1258: with ods_source.open('rb') as fh:\ntests/test_tablib.py:1259: dataset = tablib.Dataset().load(fh, 'ods')\ntests/test_tablib.py:1262: def test_ods_export_dates(self):\ntests/test_tablib.py:1269: _ods = data.ods\ntests/test_tablib.py:1270: ods_book = opendocument.load(BytesIO(_ods))\ntests/test_tablib.py:1271: cells = ods_book.spreadsheet.getElementsByType(table.TableRow)[1].childNodes\n",
"stderr": "",
"exit_code": 0
}Turn 19at 412 s58 tokens out13,211 prompt tokens
I should run the ODS related tests in `tests/test_tablib.py`.
TOOL CALL · run_command
{
"command": "pytest tests/test_tablib.py -k \"ods\" -q --tb=short --no-header"
}Result of run_command 2,667 characters
{
"status": "ok",
"stdout": "....... [100%]\n================================ tests coverage ================================\n_______________ coverage: platform linux, python 3.10.19-final-0 _______________\n\nName Stmts Miss Cover\n----------------------------------------------------------------\nsrc/tablib/__init__.py 5 0 100%\nsrc/tablib/_vendor/__init__.py 0 0 100%\nsrc/tablib/_vendor/dbfpy/__init__.py 0 0 100%\nsrc/tablib/_vendor/dbfpy/dbf.py 96 96 0%\nsrc/tablib/_vendor/dbfpy/dbfnew.py 43 43 0%\nsrc/tablib/_vendor/dbfpy/fields.py 181 181 0%\nsrc/tablib/_vendor/dbfpy/header.py 101 101 0%\nsrc/tablib/_vendor/dbfpy/record.py 72 72 0%\nsrc/tablib/_vendor/dbfpy/utils.py 62 62 0%\nsrc/tablib/core.py 435 247 43%\nsrc/tablib/exceptions.py 6 0 100%\nsrc/tablib/formats/__init__.py 87 11 87%\nsrc/tablib/formats/_cli.py 10 10 0%\nsrc/tablib/formats/_csv.py 40 22 45%\nsrc/tablib/formats/_dbf.py 47 47 0%\nsrc/tablib/formats/_df.py 28 28 0%\nsrc/tablib/formats/_html.py 87 87 0%\nsrc/tablib/formats/_jira.py 16 16 0%\nsrc/tablib/formats/_json.py 38 16 58%\nsrc/tablib/formats/_latex.py 43 43 0%\nsrc/tablib/formats/_ods.py 175 17 90%\nsrc/tablib/formats/_rst.py 123 123 0%\nsrc/tablib/formats/_tsv.py 5 0 100%\nsrc/tablib/formats/_xls.py 104 66 37%\nsrc/tablib/formats/_xlsx.py 115 82 29%\nsrc/tablib/formats/_yaml.py 32 13 59%\nsrc/tablib/utils.py 7 1 86%\ntests/test_tablib.py 1055 790 25%\ntests/test_tablib_dbfpy_packages_fields.py 22 22 0%\ntests/test_tablib_dbfpy_packages_utils.py 74 74 0%\n----------------------------------------------------------------\nTOTAL 3109 2270 27%\nCoverage HTML written to dir htmlcov\nCoverage XML written to file coverage.xml\n7 passed, 137 deselected in 2.09s\n",
"stderr": "",
"exit_code": 0
}Turn 20at 418 s46 tokens out14,086 prompt tokens
All ODS tests passed. Now let's double check for any untracked files and then submit.
TOOL CALL · run_command
{
"command": "git status --short && git diff"
}Result of run_command 2,761 characters
{
"status": "ok",
"stdout": " M src/tablib/formats/_ods.py\ndiff --git a/src/tablib/formats/_ods.py b/src/tablib/formats/_ods.py\nindex adab7e1..36a7794 100644\n--- a/src/tablib/formats/_ods.py\n+++ b/src/tablib/formats/_ods.py\n@@ -67,6 +67,13 @@ class ODSFormat:\n title = 'ods'\n extensions = ('ods',)\n \n+ @classmethod\n+ def get_attribute(cls, cell, attr):\n+ try:\n+ return cell.getAttribute(attr)\n+ except ValueError:\n+ return None\n+\n @classmethod\n def export_set(cls, dataset):\n \"\"\"Returns ODF representation of Dataset.\"\"\"\n@@ -108,10 +115,10 @@ class ODSFormat:\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@@ -137,25 +144,25 @@ class ODSFormat:\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",
"stderr": "",
"exit_code": 0
}Turn 21at 433 s198 tokens out14,977 prompt tokens
The diff looks correct and minimal. No untracked files. All tests passed.
One last check: did I miss any `getAttribute` in `_ods.py`?
Looking at my `grep` output:
```
111: dset.title = sheet.getAttribute('name')
114: return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')
140: value_type = cell.getAttribute('valuetype')
142: date_value = cell.getAttribute('datevalue')
146: time_value = cell.getAttribute('timevalue')
153: bool_value = cell.getAttribute('booleanvalue')
158: value = cell.getAttribute('value')
```
All 7 of these were replaced.
I'm confident.
TOOL CALL · submit_patch
Result of submit_patch 56 characters
{
"status": "ok",
"patch_size": 2590,
"files_changed": 1
}Model calls (not matched to turns)
Generated tokens 163 tokens · stopped: STOP
The user is reporting a `ValueError: 'value' is not in list` when loading an ODS file that contains 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 find where ODS loading is implemented in `tablib` and fix the bug.
First, I'll explore the codebase to find the ODS import/export logic.<|channel>thought
The user is reporting a `ValueError: 'value' is not in list` when loading an ODS file that contains 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 find where ODS loading is implemented in `tablib` and fix the bug.
First, I'll explore the codebase to find the ODS import/export logic.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "ods" src/tablib/formats<|"|>}<tool_call|><|tool_response>
Generated tokens 153 tokens · stopped: STOP
It looks like `src/tablib/formats/_ods.py` is where the ODS format is implemented. Now I'll reproduce the bug with a script.
It looks like `src/tablib/formats/_ods.py` is where the ODS format is implemented.
Now I'll reproduce the bug with a script.
<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:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 147 tokens · stopped: STOP
The traceback shows the error happens in `src/tablib/formats/_ods.py` in `read_cell` method when calling `cell.getAttribute('value')`.
The `odf` library (which `tablib` uses for ODS) throws `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`.The traceback shows the error happens in `src/tablib/formats/_ods.py` in `read_cell` method when calling `cell.getAttribute('value')`.
The `odf` library (which `tablib` uses for ODS) throws `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`.<channel|><|tool_call>call:read_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:130,end_line:180}<tool_call|><|tool_response>
Generated tokens 1,614 tokens · stopped: STOP
The `read_cell` method is where the problem lies.
Specifically, lines 156-160 (estimated from the read range):
```python
if not cell.childNodes:
value = getattr(cell, 'data', None)
if value is None:
value = cell.getAttribute('value')
if value is None:
return ''
```
The traceback said:
```
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
```
It seems `cell.getAttribute('value')` is called when `cell.childNodes` is empty and `getattr(cell, 'data', None)` is `None`.
If `odfpy`'s `getAttribute` raises `ValueError` when the attribute is missing instead of returning `None` (as might be expected), then this is the cause.
Wait, if `getAttribute` raises `ValueError` when the attribute is missing, then `cell.getAttribute('valuetype')` at line 134 might also raise `ValueError`?
```python
if value_type is None:
value_type = cell.getAttribute('valuetype')
```
Let's check if `valuetype` is always present.
Actually, let's check the `odfpy` `getAttribute` behavior from the error message.
`ValueError: 'value' is not in list` suggests that `odfpy` maintains a list of allowed attributes for each element, and it's doing `allowed_args.index(attr)`. If `attr` is not in `allowed_args`, it raises `ValueError`.
So, any call to `getAttribute` with an attribute that isn't allowed for that specific element will fail.
We should probably wrap `getAttribute` in a try-except block or check if the attribute is allowed.
However, the fastest way is probably to try-except `ValueError`.
Let's see where else `getAttribute` is called in `read_cell`.
- Line 134: `value_type = cell.getAttribute('valuetype')`
- Line 137: `date_value = cell.getAttribute('datevalue')`
- Line 141: `time_value = cell.getAttribute('timevalue')`
- Line 147: `bool_value = cell.getAttribute('booleanvalue')`
- Line 158: `value = cell.getAttribute('value')`
If an empty string is saved to ODS, it probably doesn't have these attributes.
Let's verify if `valuetype` also fails.
In the reproduction case: `tablib.Dataset(("",))`. An empty string probably doesn't have a specific value type, or maybe it's just a cell without any data.
Let's look at the `read_cell` function again.
```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
```
If `cell.getAttribute('valuetype')` raises `ValueError`, the current code will crash before even getting to `cell.getAttribute('value')`.
Wait, the traceback said the error was at line 158 (in my local counting, it's `value = cell.getAttribute('value')`).
Traceback:
```
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')
```
Wait, it calls `read_cell` recursively.
Line 168 is:
```python
for subnode in cell.childNodes:
value = cls.read_cell(subnode, value_type)
```
And the inner call to `read_cell` (line 158) failed.
So `cell` in the inner call had `childNodes` empty (since it's a subnode), and it tried to get `getAttribute('value')`.
Actually, if `cell` is a subnode, `value_type` might be passed from the parent.
If `cell.getAttribute('valuetype')` also raises `ValueError`, then the problem is more widespread. Let's check if it does.
I'll modify the reproduction script to see if other `getAttribute` calls fail.
The `read_cell` method is where the problem lies.
Specifically, lines 156-160 (estimated from the read range):
```python
if not cell.childNodes:
value = getattr(cell, 'data', None)
if value is None:
value = cell.getAttribute('value')
if value is None:
return ''
```
The traceback said:
```
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
```
It seems `cell.getAttribute('value')` is called when `cell.childNodes` is empty and `getattr(cell, 'data', None)` is `None`.
If `odfpy`'s `getAttribute` raises `ValueError` when the attribute is missing instead of returning `None` (as might be expected), then this is the cause.
Wait, if `getAttribute` raises `ValueError` when the attribute is missing, then `cell.getAttribute('valuetype')` at line 134 might also raise `ValueError`?
```python
if value_type is None:
value_type = cell.getAttribute('valuetype')
```
Let's check if `valuetype` is always present.
Actually, let's check the `odfpy` `getAttribute` behavior from the error message.
`ValueError: 'value' is not in list` suggests that `odfpy` maintains a list of allowed attributes for each element, and it's doing `allowed_args.index(attr)`. If `attr` is not in `allowed_args`, it raises `ValueError`.
So, any call to `getAttribute` with an attribute that isn't allowed for that specific element will fail.
We should probably wrap `getAttribute` in a try-except block or check if the attribute is allowed.
However, the fastest way is probably to try-except `ValueError`.
Let's see where else `getAttribute` is called in `read_cell`.
- Line 134: `value_type = cell.getAttribute('valuetype')`
- Line 137: `date_value = cell.getAttribute('datevalue')`
- Line 141: `time_value = cell.getAttribute('timevalue')`
- Line 147: `bool_value = cell.getAttribute('booleanvalue')`
- Line 158: `value = cell.getAttribute('value')`
If an empty string is saved to ODS, it probably doesn't have these attributes.
Let's verify if `valuetype` also fails.
In the reproduction case: `tablib.Dataset(("",))`. An empty string probably doesn't have a specific value type, or maybe it's just a cell without any data.
Let's look at the `read_cell` function again.
```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
```
If `cell.getAttribute('valuetype')` raises `ValueError`, the current code will crash before even getting to `cell.getAttribute('value')`.
Wait, the traceback said the error was at line 158 (in my local counting, it's `value = cell.getAttribute('value')`).
Traceback:
```
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')
```
Wait, it calls `read_cell` recursively.
Line 168 is:
```python
for subnode in cell.childNodes:
value = cls.read_cell(subnode, value_type)
```
And the inner call to `read_cell` (line 158) failed.
So `cell` in the inner call had `childNodes` empty (since it's a subnode), and it tried to get `getAttribute('value')`.
Actually, if `cell` is a subnode, `value_type` might be passed from the parent.
If `cell.getAttribute('valuetype')` also raises `ValueError`, then the problem is more widespread. Let's check if it does.
I'll modify the reproduction script to see if other `getAttribute` calls fail.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import tablib
from tablib.formats._ods import ODSFormat
# Create a dummy cell that mimics the behavior of the failing cell
# Since we don't have easy access to create an odf cell, we just trust the traceback.
book = tablib.Databook()
try:
book.load(
tablib.Databook(sets=[tablib.Dataset(("",))]).export("ods"),
format="ods",
)
print("Success!")
except Exception as e:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 1,072 tokens · stopped: STOP
The traceback shows that `read_cell` is called first for a cell, then it iterates over `cell.childNodes` and calls `read_cell` for each subnode.
In the reproduction case:
1. `import_sheet` calls `read_cell(cell)`.
2. `read_cell(cell)`:
- `value_type = cell.getAttribute('valuetype')` (presumably works or returns None)
- `cell.childNodes` is NOT empty (because it later calls `read_cell` for subnodes).
- It enters the loop: `for subnode in cell.childNodes: value = cls.read_cell(subnode, value_type)`.
3. `read_cell(subnode, value_type)`:
- `value_type` is passed.
- `subnode.childNodes` is empty.
- `value = getattr(subnode, 'data', None)` (presumably None).
- `value = subnode.getAttribute('value')` -> **ValueError: 'value' is not in list**.
So it seems `getAttribute` is the problem. We should wrap any `getAttribute` call that might fail in a try-except.
Wait, is there a better way to check if an attribute exists in `odfpy`?
Looking at the ODF documentation or the code of `odfpy` (of course I cannot look at external docs, but the error message is very clear: `i = allowed_args.index(attr)`).
If we wrap `getAttribute` in a try-except, we can return `None` on `ValueError`.
Let's see where all the `getAttribute` calls are in `src/tablib/formats/_ods.py`.
Line 134: `value_type = cell.getAttribute('valuetype')`
Line 137: `date_value = cell.getAttribute('datevalue')`
Line 141: `time_value = cell.getAttribute('timevalue')`
Line 147: `bool_value = cell.getAttribute('booleanvalue')`
Line 158: `value = cell.getAttribute('value')`
Wait, if I wrap every `getAttribute` call, it might be a lot of boilerplate.
Maybe I can define a helper method:
```python
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
```
And then replace call to `cell.getAttribute(...)` with `cls.get_attribute(cell, ...)`.
Let's check the `read_cell` implementation again.
```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
```
Actually, I can just wrap the `getAttribute` calls in `try-except ValueError`.
Let's check if there are any other `getAttribute` calls in the file.
The traceback shows that `read_cell` is called first for a cell, then it iterates over `cell.childNodes` and calls `read_cell` for each subnode.
In the reproduction case:
1. `import_sheet` calls `read_cell(cell)`.
2. `read_cell(cell)`:
- `value_type = cell.getAttribute('valuetype')` (presumably works or returns None)
- `cell.childNodes` is NOT empty (because it later calls `read_cell` for subnodes).
- It enters the loop: `for subnode in cell.childNodes: value = cls.read_cell(subnode, value_type)`.
3. `read_cell(subnode, value_type)`:
- `value_type` is passed.
- `subnode.childNodes` is empty.
- `value = getattr(subnode, 'data', None)` (presumably None).
- `value = subnode.getAttribute('value')` -> **ValueError: 'value' is not in list**.
So it seems `getAttribute` is the problem. We should wrap any `getAttribute` call that might fail in a try-except.
Wait, is there a better way to check if an attribute exists in `odfpy`?
Looking at the ODF documentation or the code of `odfpy` (of course I cannot look at external docs, but the error message is very clear: `i = allowed_args.index(attr)`).
If we wrap `getAttribute` in a try-except, we can return `None` on `ValueError`.
Let's see where all the `getAttribute` calls are in `src/tablib/formats/_ods.py`.
Line 134: `value_type = cell.getAttribute('valuetype')`
Line 137: `date_value = cell.getAttribute('datevalue')`
Line 141: `time_value = cell.getAttribute('timevalue')`
Line 147: `bool_value = cell.getAttribute('booleanvalue')`
Line 158: `value = cell.getAttribute('value')`
Wait, if I wrap every `getAttribute` call, it might be a lot of boilerplate.
Maybe I can define a helper method:
```python
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
```
And then replace call to `cell.getAttribute(...)` with `cls.get_attribute(cell, ...)`.
Let's check the `read_cell` implementation again.
```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
```
Actually, I can just wrap the `getAttribute` calls in `try-except ValueError`.
Let's check if there are any other `getAttribute` calls in the file.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "getAttribute" src/tablib/formats/_ods.py<|"|>}<tool_call|><|tool_response>
Generated tokens 53 tokens · stopped: STOP
Wait, the line numbers from `grep` are different from what I had before. Let's re-read the file.
Wait, the line numbers from `grep` are different from what I had before.
Let's re-read the file.
<channel|><|tool_call>call:read_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>}<tool_call|><|tool_response>
Generated tokens 47 tokens · stopped: STOP
I need the rest of `read_cell` as well.
I need the rest of `read_cell` as well.
<channel|><|tool_call>call:read_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,start_line:151}<tool_call|><|tool_response>
Generated tokens 678 tokens · stopped: STOP
I'll implement a helper method `get_attribute` to handle the `ValueError` and use it everywhere `getAttribute` is called.
Wait, `ODSFormat` is a class with `@classmethod`s. I should probably make `get_attribute` a `@classmethod` too.
Current `getAttribute` calls:
1. Line 107: `dset.title = sheet.getAttribute('name')`
2. Line 110: `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')`
3. Line 137: `value_type = cell.getAttribute('valuetype')` (my previous count was slightly off, let's use the file content)
4. Line 140: `date_value = cell.getAttribute('datevalue')`
5. Line 144: `time_value = cell.getAttribute('timevalue')`
6. Line 150: `bool_value = cell.getAttribute('booleanvalue')`
7. Line 156: `value = cell.getAttribute('value')`
Let's check the file content again to be sure about lines.
Line 107: `dset.title = sheet.getAttribute('name')`
Line 110: `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')`
Line 137: `value_type = cell.getAttribute('valuetype')`
Line 140: `date_value = cell.getAttribute('datevalue')`
Line 144: `time_value = cell.getAttribute('timevalue')`
Line 150: `bool_value = cell.getAttribute('booleanvalue')`
Line 156: `value = cell.getAttribute('value')`
Actually, I'll just wrap each call in a try-except if I don't want to introduce a new method, but a new method is cleaner.
Let's try implementing `get_attribute`.
```python
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
```
Wait, if `cell` is sometimes an ODS element, we should make sure `cell` actually has `getAttribute`.
The elements in `odfpy` should have `getAttribute`.
Let's apply the changes.
First, add `get_attribute` method to `ODSFormat`.
I'll implement a helper method `get_attribute` to handle the `ValueError` and use it everywhere `getAttribute` is called.
Wait, `ODSFormat` is a class with `@classmethod`s. I should probably make `get_attribute` a `@classmethod` too.
Current `getAttribute` calls:
1. Line 107: `dset.title = sheet.getAttribute('name')`
2. Line 110: `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')`
3. Line 137: `value_type = cell.getAttribute('valuetype')` (my previous count was slightly off, let's use the file content)
4. Line 140: `date_value = cell.getAttribute('datevalue')`
5. Line 144: `time_value = cell.getAttribute('timevalue')`
6. Line 150: `bool_value = cell.getAttribute('booleanvalue')`
7. Line 156: `value = cell.getAttribute('value')`
Let's check the file content again to be sure about lines.
Line 107: `dset.title = sheet.getAttribute('name')`
Line 110: `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')`
Line 137: `value_type = cell.getAttribute('valuetype')`
Line 140: `date_value = cell.getAttribute('datevalue')`
Line 144: `time_value = cell.getAttribute('timevalue')`
Line 150: `bool_value = cell.getAttribute('booleanvalue')`
Line 156: `value = cell.getAttribute('value')`
Actually, I'll just wrap each call in a try-except if I don't want to introduce a new method, but a new method is cleaner.
Let's try implementing `get_attribute`.
```python
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
```
Wait, if `cell` is sometimes an ODS element, we should make sure `cell` actually has `getAttribute`.
The elements in `odfpy` should have `getAttribute`.
Let's apply the changes.
First, add `get_attribute` method to `ODSFormat`.
<channel|><|tool_call>call:edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|> @classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):<|"|>,old_string:<|"|>class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):<|"|>}<tool_call|><|tool_response>
Generated tokens 531 tokens · stopped: STOP
Wait, the `edit_file` result looks a bit weird. It seems it removed `title` and `extensions` from the class definition or moved them?
Looking at the diff:
```diff
-class ODSFormat:
- title = 'ods'
- extensions = ('ods',)
+ @classmethod
+ def get_attribute(cls, cell, attr):
+ try:
+ return cell.getAttribute(attr)
+ except ValueError:
+ return None
```
It seems I replaced `class ODSFormat:\n title = 'ods'\n extensions = ('ods',)` with the method, and the `class ODSFormat:` line itself was replaced by the method body!
I messed up the replacement. I need to make sure the class definition remains.
Current state of `src/tablib/formats/_ods.py` around line 63:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):
```
I tried to replace:
`old_string`:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):
```
with
`new_string`:
```python
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):
```
Wait, I didn't include `class ODSFormat:` in the `new_string`.
Let me fix this.
Wait, the `edit_file` result looks a bit weird. It seems it removed `title` and `extensions` from the class definition or moved them?
Looking at the diff:
```diff
-class ODSFormat:
- title = 'ods'
- extensions = ('ods',)
+ @classmethod
+ def get_attribute(cls, cell, attr):
+ try:
+ return cell.getAttribute(attr)
+ except ValueError:
+ return None
```
It seems I replaced `class ODSFormat:\n title = 'ods'\n extensions = ('ods',)` with the method, and the `class ODSFormat:` line itself was replaced by the method body!
I messed up the replacement. I need to make sure the class definition remains.
Current state of `src/tablib/formats/_ods.py` around line 63:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):
```
I tried to replace:
`old_string`:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):
```
with
`new_string`:
```python
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):
```
Wait, I didn't include `class ODSFormat:` in the `new_string`.
Let me fix this.
<channel|><|tool_call>call,edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|>class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):<|"|>,old_string:<|"|>class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):<|"|>}<tool_call|><|tool_response>
Generated tokens 1,008 tokens · stopped: STOP
The previous `edit_file` call was meant to add `get_attribute` to `ODSFormat`, but it seemed I messed up the structure or it got truncated.
Looking at the previous `edit_file` output:
```diff
--- a/src/tablib/formats/_ods.py
+++ b/src/tablib/formats/_ods.py
@@ -63,9 +63,12 @@
)
-class ODSFormat:
- title = 'ods'
- extensions = ('ods',)
+ @classmethod
+ def get_attribute(cls, cell, attr):
+ try:
+ return cell.getAttribute(attr)
+ except ValueError:
+ return None
@classmethod
def export_set(cls, dataset):
```
It replaced `class ODSFormat: title = 'ods' extensions = ('ods',)` with the `get_attribute` method, BUT it didn't keep the class definition! It indented `get_attribute` but removed the class header and title/extensions. That's a bug.
Wait, actually, the `old_string` was:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):
```
And `new_string` was:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):
```
Wait, I see what happened in the previous `edit_file`. I didn't actually send a `new_string` that started with `class ODSFormat:`.
Let me check the actual tool call I made:
```python
edit_file(filepath="src/tablib/formats/_ods.py",
new_string=" @classmethod\n def get_attribute(cls, cell, attr):\n try:\n return cell.getAttribute(attr)\n except ValueError:\n return None\n\n @classmethod\n def export_set(cls, dataset):",
old_string="class ODSFormat:\n title = 'ods'\n extensions = ('ods',)\n\n @classmethod\n def export_set(cls, dataset):")
```
YES, I accidentally replaced the class definition and its attributes with just the method. I need to fix this immediately.
I will first restore `ODSFormat` and then properly add `get_attribute`.
Actually, I'll just do it in one go now.
Wait, I need to check if I should use `get_attribute` everywhere `getAttribute` was used.
The traceback showed:
`ValueError: 'value' is not in list` in `odf/element.py` line 547 `i = allowed_args.index(attr)`.
This happens when calling `cell.getAttribute('value')`.
Let's see where `getAttribute` is used in `src/tablib/formats/_ods.py`:
- line 111: `sheet.getAttribute('name')`
- line 114: `cell.getAttribute('numbercolumnsrepeated')`
- line 140: `cell.getAttribute('valuetype')`
- line 142: `cell.getAttribute('datevalue')`
- line 146: `cell.getAttribute('timevalue')`
- line 153: `cell.getAttribute('booleanvalue')`
- line 158: `cell.getAttribute('value')`
All of these should probably use the safe `get_attribute` helper to avoid `ValueError`.
But first, fix the broken file.<|channel>thought
The previous `edit_file` call was meant to add `get_attribute` to `ODSFormat`, but it seemed I messed up the structure or it got truncated.
Looking at the previous `edit_file` output:
```diff
--- a/src/tablib/formats/_ods.py
+++ b/src/tablib/formats/_ods.py
@@ -63,9 +63,12 @@
)
-class ODSFormat:
- title = 'ods'
- extensions = ('ods',)
+ @classmethod
+ def get_attribute(cls, cell, attr):
+ try:
+ return cell.getAttribute(attr)
+ except ValueError:
+ return None
@classmethod
def export_set(cls, dataset):
```
It replaced `class ODSFormat: title = 'ods' extensions = ('ods',)` with the `get_attribute` method, BUT it didn't keep the class definition! It indented `get_attribute` but removed the class header and title/extensions. That's a bug.
Wait, actually, the `old_string` was:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):
```
And `new_string` was:
```python
class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):
```
Wait, I see what happened in the previous `edit_file`. I didn't actually send a `new_string` that started with `class ODSFormat:`.
Let me check the actual tool call I made:
```python
edit_file(filepath="src/tablib/formats/_ods.py",
new_string=" @classmethod\n def get_attribute(cls, cell, attr):\n try:\n return cell.getAttribute(attr)\n except ValueError:\n return None\n\n @classmethod\n def export_set(cls, dataset):",
old_string="class ODSFormat:\n title = 'ods'\n extensions = ('ods',)\n\n @classmethod\n def export_set(cls, dataset):")
```
YES, I accidentally replaced the class definition and its attributes with just the method. I need to fix this immediately.
I will first restore `ODSFormat` and then properly add `get_attribute`.
Actually, I'll just do it in one go now.
Wait, I need to check if I should use `get_attribute` everywhere `getAttribute` was used.
The traceback showed:
`ValueError: 'value' is not in list` in `odf/element.py` line 547 `i = allowed_args.index(attr)`.
This happens when calling `cell.getAttribute('value')`.
Let's see where `getAttribute` is used in `src/tablib/formats/_ods.py`:
- line 111: `sheet.getAttribute('name')`
- line 114: `cell.getAttribute('numbercolumnsrepeated')`
- line 140: `cell.getAttribute('valuetype')`
- line 142: `cell.getAttribute('datevalue')`
- line 146: `cell.getAttribute('timevalue')`
- line 153: `cell.getAttribute('booleanvalue')`
- line 158: `cell.getAttribute('value')`
All of these should probably use the safe `get_attribute` helper to avoid `ValueError`.
But first, fix the broken file.<channel|><|tool_call>call:edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|>class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):<|"|>,old_string:<|"|> @classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):<|"|>}<tool_call|><|tool_response>
Generated tokens 186 tokens · stopped: STOP
Okay, now the file is back to its original state. Now I will add `get_attribute` correctly and use it everywhere. I'll add `get_attribute` first.
Okay, now the file is back to its original state. Now I will add `get_attribute` correctly and use it everywhere.
I'll add `get_attribute` first.
<channel|><|tool_call>call:edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|>class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def get_attribute(cls, cell, attr):
try:
return cell.getAttribute(attr)
except ValueError:
return None
@classmethod
def export_set(cls, dataset):<|"|>,old_string:<|"|>class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def export_set(cls, dataset):<|"|>}<tool_call|><|tool_response>
Generated tokens 573 tokens · stopped: STOP
Now I will replace all `cell.getAttribute(...)` calls with `cls.get_attribute(cell, ...)` inside the methods of `ODSFormat`.
Wait, `import_sheet` is a `@classmethod`. Inside `import_sheet`, `cls` is `ODSFormat`.
Let's list them:
1. `dset.title = sheet.getAttribute('name')` -> `dset.title = cls.get_attribute(sheet, 'name')`
2. `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')` -> `return cell.hasChildNodes() or not cls.get_attribute(cell, 'numbercolumnsrepeated')`
3. `value_type = cell.getAttribute('valuetype')` -> `value_type = cls.get_attribute(cell, 'valuetype')`
4. `date_value = cell.getAttribute('datevalue')` -> `date_value = cls.get_attribute(cell, 'datevalue')`
5. `time_value = cell.getAttribute('timevalue')` -> `time_value = cls.get_attribute(cell, 'timevalue')`
6. `bool_value = cell.getAttribute('booleanvalue')` -> `bool_value = cls.get_attribute(cell, 'booleanvalue')`
7. `value = cell.getAttribute('value')` -> `value = cls.get_attribute(cell, 'value')`
I'll do these in blocks to avoid too many `edit_file` calls.
First block: `import_sheet`.
Now I will replace all `cell.getAttribute(...)` calls with `cls.get_attribute(cell, ...)` inside the methods of `ODSFormat`.
Wait, `import_sheet` is a `@classmethod`. Inside `import_sheet`, `cls` is `ODSFormat`.
Let's list them:
1. `dset.title = sheet.getAttribute('name')` -> `dset.title = cls.get_attribute(sheet, 'name')`
2. `return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')` -> `return cell.hasChildNodes() or not cls.get_attribute(cell, 'numbercolumnsrepeated')`
3. `value_type = cell.getAttribute('valuetype')` -> `value_type = cls.get_attribute(cell, 'valuetype')`
4. `date_value = cell.getAttribute('datevalue')` -> `date_value = cls.get_attribute(cell, 'datevalue')`
5. `time_value = cell.getAttribute('timevalue')` -> `time_value = cls.get_attribute(cell, 'timevalue')`
6. `bool_value = cell.getAttribute('booleanvalue')` -> `bool_value = cls.get_attribute(cell, 'booleanvalue')`
7. `value = cell.getAttribute('value')` -> `value = cls.get_attribute(cell, 'value')`
I'll do these in blocks to avoid too many `edit_file` calls.
First block: `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.\"\"\"
dset.title = cls.get_attribute(sheet, 'name')
def is_real_cell(cell):
return cell.hasChildNodes() or not cls.get_attribute(cell, 'numbercolumnsrepeated')<|"|>,old_string:<|"|> @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')<|"|>}<tool_call|><|tool_response>
Generated tokens 291 tokens · stopped: STOP
Second block: `read_cell`.
Second block: `read_cell`.
<channel|><|tool_call>call:edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|> 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()<|"|>,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()<|"|>}<tool_call|><|tool_response>
Generated tokens 222 tokens · stopped: STOP
Third block: `read_cell` continuation.
Third block: `read_cell` continuation.
<channel|><|tool_call>call:edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|> 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 ''<|"|>,old_string:<|"|> 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>
Generated tokens 129 tokens · stopped: STOP
Now let's verify the fix with the reproduction script.
Now let's verify the fix with the reproduction script.
<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:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 57 tokens · stopped: STOP
Great! The reproduction script now passes. Now I should check if there are any existing tests that I might have broken. I'll look for ods tests.
Great! The reproduction script now passes.
Now I should check if there are any existing tests that I might have broken.
I'll look for ods tests.
<channel|><|tool_call>call:run_command{command:<|"|>find tests -name "*ods*"<|"|>}<tool_call|><|tool_response>
Generated tokens 36 tokens · stopped: STOP
Those are files. Let's find test python files.
Those are files. Let's find test python files.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "ods" tests/<|"|>}<tool_call|><|tool_response>
Generated tokens 58 tokens · stopped: STOP
I should run the ODS related tests in `tests/test_tablib.py`.
I should run the ODS related tests in `tests/test_tablib.py`.<channel|><|tool_call>call:run_command{command:<|"|>pytest tests/test_tablib.py -k "ods" -q --tb=short --no-header<|"|>}<tool_call|><|tool_response>
Generated tokens 46 tokens · stopped: STOP
All ODS tests passed. Now let's double check for any untracked files and then submit.
All ODS tests passed.
Now let's double check for any untracked files and then submit.
<channel|><|tool_call>call:run_command{command:<|"|>git status --short && git diff<|"|>}<tool_call|><|tool_response>
Generated tokens 198 tokens · stopped: STOP
The diff looks correct and minimal. No untracked files. All tests passed.
One last check: did I miss any `getAttribute` in `_ods.py`?
Looking at my `grep` output:
```
111: dset.title = sheet.getAttribute('name')
114: return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')
140: value_type = cell.getAttribute('valuetype')
142: date_value = cell.getAttribute('datevalue')
146: time_value = cell.getAttribute('timevalue')
153: bool_value = cell.getAttribute('booleanvalue')
158: value = cell.getAttribute('value')
```
All 7 of these were replaced.
I'm confident.
The diff looks correct and minimal. No untracked files. All tests passed.
One last check: did I miss any `getAttribute` in `_ods.py`?
Looking at my `grep` output:
```
111: dset.title = sheet.getAttribute('name')
114: return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')
140: value_type = cell.getAttribute('valuetype')
142: date_value = cell.getAttribute('datevalue')
146: time_value = cell.getAttribute('timevalue')
153: bool_value = cell.getAttribute('booleanvalue')
158: value = cell.getAttribute('value')
```
All 7 of these were replaced.
I'm confident.
<channel|><|tool_call>call:submit_patch{}<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..36a7794 100644
--- a/src/tablib/formats/_ods.py
+++ b/src/tablib/formats/_ods.py
@@ -67,6 +67,13 @@ class ODSFormat:
title = 'ods'
extensions = ('ods',)
+ @classmethod
+ def get_attribute(cls, cell, attr):
+ try:
+ return cell.getAttribute(attr)
+ except ValueError:
+ return None
+
@classmethod
def export_set(cls, dataset):
"""Returns ODF representation of Dataset."""
@@ -108,10 +115,10 @@ class ODSFormat:
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.get_attribute(sheet, 'name')
def is_real_cell(cell):
- return cell.hasChildNodes() or not cell.getAttribute('numbercolumnsrepeated')
+ return cell.hasChildNodes() or not cls.get_attribute(cell, 'numbercolumnsrepeated')
for i, row in enumerate(sheet.childNodes):
if row.tagName != 'table:table-row':
@@ -137,25 +144,25 @@ class ODSFormat:
return dt.datetime.strptime(val, "%Y-%m-%d").date()
if value_type is None:
- value_type = cell.getAttribute('valuetype')
+ value_type = cls.get_attribute(cell, 'valuetype')
if value_type == 'date':
- date_value = cell.getAttribute('datevalue')
+ date_value = cls.get_attribute(cell, 'datevalue')
if date_value:
return convert_date(date_value)
if value_type == 'time':
- time_value = cell.getAttribute('timevalue')
+ 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 = cell.getAttribute('booleanvalue')
+ 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 = cell.getAttribute('value')
+ value = cls.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-79f382a79fa4479694264a4bdb878e3b.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 175 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 3128 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 2.51s =========================
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="2.505" timestamp="2026-11-14T04:35:17.681480+00:00" hostname="0e322ae0355a"><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="0.001" /><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="0.001" /><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="0.008" /><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="0.001" /><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="0.026" /><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="0.015" /><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="0.018" /><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="0.001" /><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.
[ 15.6s] 💭 (439 chars) "The user is reporting a `ValueError: 'value' is not in list` when loading an ODS file that
contains an empty string.
The..."
[ 15.6s] 🔧 run_command grep -rn --include="*.py" "ods" src/tablib/formats
[ 15.6s] → src/tablib/formats/_ods.py:67: title = 'ods'
[ 29.7s] 💭 (125 chars) "It looks like `src/tablib/formats/_ods.py` is where the ODS format is implemented.
Now I'll reproduce the bug with a sc..."
[ 29.7s] 🔧 run_command (14 lines) python3 - <<'PY'
[ 29.9s] → Caught exception: 'value' is not in list
[ 48.6s] 💭 (363 chars) "The traceback shows the error happens in `src/tablib/formats/_ods.py` in `read_cell` method
when calling `cell.getAttrib..."
[ 48.6s] 📖 read_file (src/tablib/formats/_ods.py)
[ 48.6s] ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '\n @classmethod\n def
read_cell(cls, cell, …
[ 156.1s] 💭 (5221 chars) "The `read_cell` method is where the problem lies.
Specifically, lines 156-160 (estimated from the read range):
```python..."
[ 156.1s] 🔧 run_command (19 lines) python3 - <<'PY'
[ 156.2s] → Caught exception: 'value' is not in list
[ 208.6s] 💭 (3785 chars) "The traceback shows that `read_cell` is called first for a cell, then it iterates over
`cell.childNodes` and calls `read..."
[ 208.6s] 🔧 run_command grep -n "getAttribute" src/tablib/formats/_ods.py
[ 208.7s] → 111: dset.title = sheet.getAttribute('name')
[ 211.6s] 💭 (96 chars) "Wait, the line numbers from `grep` are different from what I had before.
Let's re-read the file."
[ 211.6s] 📖 read_file (src/tablib/formats/_ods.py)
[ 211.7s] ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': '""" Tablib - ODF
Support.\n"""\n\nimport datetime…
[ 215.6s] 💭 (39 chars) "I need the rest of `read_cell` as well."
[ 215.6s] 📖 read_file (src/tablib/formats/_ods.py)
[ 215.7s] ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'content': ' return
dt.datetime.strptime(time_…
[ 250.6s] 💭 (1818 chars) "I'll implement a helper method `get_attribute` to handle the `ValueError` and use it
everywhere `getAttribute` is called..."
[ 250.6s] ✏️ edit_file (src/tablib/formats/_ods.py)
[ 250.7s] ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'exact',
'diff': "--- a/src/tab…
[ 276.1s] 💭 (1336 chars) "Wait, the `edit_file` result looks a bit weird. It seems it removed `title` and
`extensions` from the class definition o..."
[ 276.1s] ✅ Agent finished:
<|tool_call>call,edit_file{filepath:<|"|>src/tablib/formats/_ods.py<|"|>,new_string:<|"|>class ODSFormat:
title = 'ods'
extensions = ('ods',)
@classmethod
def get_attribute(cls, cell,...
[ 276.1s] 🎯 Task Prompt: Your previous response reached the token limit before the tool call finished closing
(<|tool_call|> was cut off). Do NOT...
[ 338.0s] 💭 (2943 chars) "The previous `edit_file` call was meant to add `get_attribute` to `ODSFormat`, but it
seemed I messed up the structure o..."
[ 338.0s] ✏️ edit_file (src/tablib/formats/_ods.py)
[ 338.1s] ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'exact',
'diff': "--- a/src/tab…
[ 345.1s] 💭 (146 chars) "Okay, now the file is back to its original state. Now I will add `get_attribute` correctly
and use it everywhere.
I'll ..."
[ 345.1s] ✏️ edit_file (src/tablib/formats/_ods.py)
[ 345.2s] ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'exact',
'diff': "--- a/src/tab…
[ 371.6s] 💭 (1098 chars) "Now I will replace all `cell.getAttribute(...)` calls with `cls.get_attribute(cell, ...)`
inside the methods of `ODSForm..."
[ 371.6s] ✏️ edit_file (src/tablib/formats/_ods.py)
[ 371.8s] ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'unescaped',
'diff': '--- a/src…
[ 384.9s] 💭 (26 chars) "Second block: `read_cell`."
[ 384.9s] ✏️ edit_file (src/tablib/formats/_ods.py)
[ 385.1s] ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'unescaped',
'diff': '--- a/src…
[ 393.5s] 💭 (38 chars) "Third block: `read_cell` continuation."
[ 393.5s] ✏️ edit_file (src/tablib/formats/_ods.py)
[ 393.6s] ✓ {'status': 'ok', 'filepath': 'src/tablib/formats/_ods.py', 'occurrences': 1, 'strategy': 'exact',
'diff': '--- a/src/tab…
[ 397.6s] 💭 (54 chars) "Now let's verify the fix with the reproduction script."
[ 397.6s] 🔧 run_command (14 lines) python3 - <<'PY'
[ 397.7s] → Success!
[ 404.4s] 💭 (145 chars) "Great! The reproduction script now passes.
Now I should check if there are any existing tests that I might have broken...."
[ 404.4s] 🔧 run_command find tests -name "*ods*"
[ 404.5s] → tests/files/unknown_value_type.ods
[ 406.3s] 💭 (46 chars) "Those are files. Let's find test python files."
[ 406.3s] 🔧 run_command grep -rn "ods" tests/
[ 406.4s] → tests/test_tablib.py:56: 'json', 'yaml', 'csv', 'tsv', 'xls', 'xlsx', 'ods', 'html', 'jira',
[ 411.5s] 💭 (61 chars) "I should run the ODS related tests in `tests/test_tablib.py`."
[ 411.5s] 🔧 run_command pytest tests/test_tablib.py -k "ods" -q --tb=short --no-header
[ 414.2s] → ....... [100%]
[ 417.3s] 💭 (86 chars) "All ODS tests passed.
Now let's double check for any untracked files and then submit."
[ 417.3s] 🔧 run_command git status --short && git diff
[ 417.4s] → M src/tablib/formats/_ods.py
[ 432.3s] 💭 (662 chars) "The diff looks correct and minimal. No untracked files. All tests passed.
One last check: did I miss any `getAttribute`..."
[ 432.3s] 🤖 submit_patch
[ 432.4s] → submit_patch: {"status": "ok", "patch_size": 2590, "files_changed": 1}
Native result row
{
"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 456.66,
"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": 2590,
"phase1_seconds": 452.62,
"repo": "jazzband/tablib",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/jazzband__tablib-613__p0__r0.jsonl",
"resolved": false,
"rollout_idx": 0,
"run_key": "jazzband__tablib-613__p0__r0",
"strict_clean_patch": true,
"tool_calls": 18,
"total_llm_calls": 20,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_jazzband__tablib-613__p0__r0.json"
}