ROLLOUT 2 · reata/sqllineage
reata__sqllineage-224
Solved
455 stotal time
30tool calls
31model calls
5,469tokens generated
298,014prompt tokens read
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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 3,058 characters
You are evaluating a software engineering task for repository reata/sqllineage.
Problem Statement:
Table/Column Lineage Mixed up For Self Dependent SQL
```sql
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
```
```
Statements(#): 1
Source Tables:
<default>.foo
<default>.foo.col
Target Tables:
<default>.foo
<default>.foo.col
```
Column lineage is displayed by mistake here.
## 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):
```
./CONTRIBUTING.md
./Dockerfile
./LICENSE
./MANIFEST.in
./README.md
./docs
./mypy.ini
./setup.py
./sqllineage
./sqllineage/__init__.py
./sqllineage/cli.py
./sqllineage/core
./sqllineage/core/__init__.py
./sqllineage/core/analyzer.py
./sqllineage/core/handlers
./sqllineage/core/holders.py
./sqllineage/core/models.py
./sqllineage/data
./sqllineage/data/tpcds
./sqllineage/drawing.py
./sqllineage/exceptions.py
./sqllineage/io.py
./sqllineage/runner.py
./sqllineage/utils
./sqllineage/utils/__init__.py
./sqllineage/utils/constant.py
./sqllineage/utils/entities.py
./sqllineage/utils/helpers.py
./sqllineage/utils/sqlparse.py
./sqllineagejs
./sqllineagejs/config-overrides.js
./sqllineagejs/package-lock.json
./sqllineagejs/package.json
./sqllineagejs/public
./sqllineagejs/public/favicon.ico
./sqllineagejs/public/index.html
./sqllineagejs/public/logo192.png
./sqllineagejs/public/logo512.png
./sqllineagejs/public/manifest.json
./sqllineagejs/public/robots.txt
./sqllineagejs/src
./sqllineagejs/src/App.js
./sqllineagejs/src/api
./sqllineagejs/src/app
./sqllineagejs/src/features
./sqllineagejs/src/index.css
./sqllineagejs/src/index.js
./tests
./tox.ini
```
Turn 1at 20 s270 tokens out2,981 prompt tokens
The user is reporting an issue where table and column lineage are mixed up for self-dependent SQL (SQL where the target table is also a source table).
Example SQL:
```sql
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
```
Expected behavior:
Source Tables: `<default>.foo`
Target Tables: `<default>.foo`
(And potentially column lineage, but the problem says "Column lineage is displayed by mistake here", and the output shown lists `<default>.foo.col` as both source and target table, which is incorrect as it's a column).
Wait, looking at the output:
```
Statements(#): 1
Source Tables:
<default>.foo
<default>.foo.col
Target Tables:
<default>.foo
<default>.foo.col
```
The problem is that `<default>.foo.col` is being listed as a table.
Let's investigate how `sqllineage` identifies source and target tables.
I'll start by searching for where tables are tracked and how the output is generated.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"Source Tables\" ."
}Result of run_command 102 characters
{
"status": "ok",
"stdout": "./sqllineage/runner.py:63:Source Tables:\n",
"stderr": "",
"exit_code": 0
}Generated tokens 270 tokens · stopped: STOP
<|channel>thought
The user is reporting an issue where table and column lineage are mixed up for self-dependent SQL (SQL where the target table is also a source table).
Example SQL:
```sql
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
```
Expected behavior:
Source Tables: `<default>.foo`
Target Tables: `<default>.foo`
(And potentially column lineage, but the problem says "Column lineage is displayed by mistake here", and the output shown lists `<default>.foo.col` as both source and target table, which is incorrect as it's a column).
Wait, looking at the output:
```
Statements(#): 1
Source Tables:
<default>.foo
<default>.foo.col
Target Tables:
<default>.foo
<default>.foo.col
```
The problem is that `<default>.foo.col` is being listed as a table.
Let's investigate how `sqllineage` identifies source and target tables.
I'll start by searching for where tables are tracked and how the output is generated.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "Source Tables" .<|"|>}<tool_call|><|tool_response>
Turn 2at 25 s73 tokens out3,306 prompt tokens
Okay, `sqllineage/runner.py` seems to be where the output is printed. Let's see how it gets the source and target tables.
TOOL CALL · read_file
{
"end_line": 100,
"filepath": "sqllineage/runner.py",
"start_line": 50
}Result of read_file 2,061 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": " self._draw_options = draw_options if draw_options else {}\n self._evaluated = False\n self._stmt: List[Statement] = []\n\n @lazy_method\n def __str__(self):\n \"\"\"\n print out the Lineage Summary.\n \"\"\"\n statements = self.statements(strip_comments=True)\n source_tables = \"\\n \".join(str(t) for t in self.source_tables)\n target_tables = \"\\n \".join(str(t) for t in self.target_tables)\n combined = f\"\"\"Statements(#): {len(statements)}\nSource Tables:\n {source_tables}\nTarget Tables:\n {target_tables}\n\"\"\"\n if self.intermediate_tables:\n intermediate_tables = \"\\n \".join(\n str(t) for t in self.intermediate_tables\n )\n combined += f\"\"\"Intermediate Tables:\n {intermediate_tables}\"\"\"\n if self._verbose:\n result = \"\"\n for i, holder in enumerate(self._stmt_holders):\n stmt_short = statements[i].replace(\"\\n\", \"\")\n if len(stmt_short) > 50:\n stmt_short = stmt_short[:50] + \"...\"\n content = str(holder).replace(\"\\n\", \"\\n \")\n result += f\"\"\"Statement #{i + 1}: {stmt_short}\n {content}\n\"\"\"\n combined = result + \"==========\\nSummary:\\n\" + combined\n return combined\n\n @lazy_method\n def to_cytoscape(self, level=LineageLevel.TABLE) -> List[Dict[str, Dict[str, str]]]:\n \"\"\"\n to turn the DAG into cytoscape format.\n \"\"\"\n if level == LineageLevel.COLUMN:\n return to_cytoscape(self._sql_holder.column_lineage_graph, compound=True)\n else:\n return to_cytoscape(self._sql_holder.table_lineage_graph)\n\n def draw(self) -> None:\n \"\"\"\n to draw the lineage directed graph\n \"\"\"",
"start_line": 50,
"end_line": 100,
"total_lines": 181,
"is_truncated": false
}Generated tokens 73 tokens · stopped: STOP
Okay, `sqllineage/runner.py` seems to be where the output is printed. Let's see how it gets the source and target tables.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>,start_line:50,end_line:100}<tool_call|><|tool_response>
Turn 3at 30 s88 tokens out4,003 prompt tokens
`self.source_tables` and `self.target_tables` are used. I need to find where these are defined. `runner.py` seems to be a wrapper. Let's look at the class definition of `runner.py`.
TOOL CALL · read_file
{
"end_line": 50,
"filepath": "sqllineage/runner.py",
"start_line": 1
}Result of read_file 1,555 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": "import logging\nfrom typing import Dict, List, Tuple\n\nimport sqlparse\nfrom sqlparse.sql import Statement\n\nfrom sqllineage.core import LineageAnalyzer\nfrom sqllineage.core.holders import SQLLineageHolder\nfrom sqllineage.core.models import Column, Table\nfrom sqllineage.drawing import draw_lineage_graph\nfrom sqllineage.io import to_cytoscape\nfrom sqllineage.utils.constant import LineageLevel\n\n\nlogger = logging.getLogger(__name__)\n\n\ndef lazy_method(func):\n def wrapper(*args, **kwargs):\n self = args[0]\n if not self._evaluated:\n self._eval()\n return func(*args, **kwargs)\n\n return wrapper\n\n\ndef lazy_property(func):\n return property(lazy_method(func))\n\n\nclass LineageRunner(object):\n def __init__(\n self,\n sql: str,\n encoding: str = None,\n verbose: bool = False,\n draw_options: Dict[str, str] = None,\n ):\n \"\"\"\n The entry point of SQLLineage after command line options are parsed.\n\n :param sql: a string representation of SQL statements.\n :param encoding: the encoding for sql string\n :param verbose: verbose flag indicate whether statement-wise lineage result will be shown\n \"\"\"\n self._encoding = encoding\n self._sql = sql\n self._verbose = verbose\n self._draw_options = draw_options if draw_options else {}",
"start_line": 1,
"end_line": 50,
"total_lines": 181,
"is_truncated": false
}Generated tokens 88 tokens · stopped: STOP
`self.source_tables` and `self.target_tables` are used. I need to find where these are defined. `runner.py` seems to be a wrapper. Let's look at the class definition of `runner.py`.<channel|><|tool_call>call:read_file{end_line:50,filepath:<|"|>sqllineage/runner.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 4at 34 s66 tokens out4,559 prompt tokens
I need to see the `_eval` method in `LineageRunner` in `sqllineage/runner.py`.
TOOL CALL · read_file
{
"end_line": 100,
"filepath": "sqllineage/runner.py",
"start_line": 51
}Result of read_file 1,994 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": " self._evaluated = False\n self._stmt: List[Statement] = []\n\n @lazy_method\n def __str__(self):\n \"\"\"\n print out the Lineage Summary.\n \"\"\"\n statements = self.statements(strip_comments=True)\n source_tables = \"\\n \".join(str(t) for t in self.source_tables)\n target_tables = \"\\n \".join(str(t) for t in self.target_tables)\n combined = f\"\"\"Statements(#): {len(statements)}\nSource Tables:\n {source_tables}\nTarget Tables:\n {target_tables}\n\"\"\"\n if self.intermediate_tables:\n intermediate_tables = \"\\n \".join(\n str(t) for t in self.intermediate_tables\n )\n combined += f\"\"\"Intermediate Tables:\n {intermediate_tables}\"\"\"\n if self._verbose:\n result = \"\"\n for i, holder in enumerate(self._stmt_holders):\n stmt_short = statements[i].replace(\"\\n\", \"\")\n if len(stmt_short) > 50:\n stmt_short = stmt_short[:50] + \"...\"\n content = str(holder).replace(\"\\n\", \"\\n \")\n result += f\"\"\"Statement #{i + 1}: {stmt_short}\n {content}\n\"\"\"\n combined = result + \"==========\\nSummary:\\n\" + combined\n return combined\n\n @lazy_method\n def to_cytoscape(self, level=LineageLevel.TABLE) -> List[Dict[str, Dict[str, str]]]:\n \"\"\"\n to turn the DAG into cytoscape format.\n \"\"\"\n if level == LineageLevel.COLUMN:\n return to_cytoscape(self._sql_holder.column_lineage_graph, compound=True)\n else:\n return to_cytoscape(self._sql_holder.table_lineage_graph)\n\n def draw(self) -> None:\n \"\"\"\n to draw the lineage directed graph\n \"\"\"",
"start_line": 51,
"end_line": 100,
"total_lines": 181,
"is_truncated": false
}Generated tokens 66 tokens · stopped: STOP
I need to see the `_eval` method in `LineageRunner` in `sqllineage/runner.py`.
<channel|><|tool_call>call:read_file{end_line:100,filepath:<|"|>sqllineage/runner.py<|"|>,start_line:51}<tool_call|><|tool_response>
Turn 5at 36 s59 tokens out5,232 prompt tokens
I missed reading the `_eval` method. It's probably after `__init__`.
TOOL CALL · read_file
{
"end_line": 100,
"filepath": "sqllineage/runner.py",
"start_line": 51
}Result of read_file 1,994 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": " self._evaluated = False\n self._stmt: List[Statement] = []\n\n @lazy_method\n def __str__(self):\n \"\"\"\n print out the Lineage Summary.\n \"\"\"\n statements = self.statements(strip_comments=True)\n source_tables = \"\\n \".join(str(t) for t in self.source_tables)\n target_tables = \"\\n \".join(str(t) for t in self.target_tables)\n combined = f\"\"\"Statements(#): {len(statements)}\nSource Tables:\n {source_tables}\nTarget Tables:\n {target_tables}\n\"\"\"\n if self.intermediate_tables:\n intermediate_tables = \"\\n \".join(\n str(t) for t in self.intermediate_tables\n )\n combined += f\"\"\"Intermediate Tables:\n {intermediate_tables}\"\"\"\n if self._verbose:\n result = \"\"\n for i, holder in enumerate(self._stmt_holders):\n stmt_short = statements[i].replace(\"\\n\", \"\")\n if len(stmt_short) > 50:\n stmt_short = stmt_short[:50] + \"...\"\n content = str(holder).replace(\"\\n\", \"\\n \")\n result += f\"\"\"Statement #{i + 1}: {stmt_short}\n {content}\n\"\"\"\n combined = result + \"==========\\nSummary:\\n\" + combined\n return combined\n\n @lazy_method\n def to_cytoscape(self, level=LineageLevel.TABLE) -> List[Dict[str, Dict[str, str]]]:\n \"\"\"\n to turn the DAG into cytoscape format.\n \"\"\"\n if level == LineageLevel.COLUMN:\n return to_cytoscape(self._sql_holder.column_lineage_graph, compound=True)\n else:\n return to_cytoscape(self._sql_holder.table_lineage_graph)\n\n def draw(self) -> None:\n \"\"\"\n to draw the lineage directed graph\n \"\"\"",
"start_line": 51,
"end_line": 100,
"total_lines": 181,
"is_truncated": false
}Generated tokens 59 tokens · stopped: STOP
I missed reading the `_eval` method. It's probably after `__init__`.
<channel|><|tool_call>call:read_file{end_line:100,filepath:<|"|>sqllineage/runner.py<|"|>,start_line:51}<tool_call|><|tool_response>
Turn 6at 40 s72 tokens out5,898 prompt tokens
Wait, I am reading the same lines over and over. Let me read `sqllineage/runner.py` from the beginning and find `_eval`.
TOOL CALL · read_file
{
"end_line": 100,
"filepath": "sqllineage/runner.py",
"start_line": 1
}Result of read_file 3,407 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": "import logging\nfrom typing import Dict, List, Tuple\n\nimport sqlparse\nfrom sqlparse.sql import Statement\n\nfrom sqllineage.core import LineageAnalyzer\nfrom sqllineage.core.holders import SQLLineageHolder\nfrom sqllineage.core.models import Column, Table\nfrom sqllineage.drawing import draw_lineage_graph\nfrom sqllineage.io import to_cytoscape\nfrom sqllineage.utils.constant import LineageLevel\n\n\nlogger = logging.getLogger(__name__)\n\n\ndef lazy_method(func):\n def wrapper(*args, **kwargs):\n self = args[0]\n if not self._evaluated:\n self._eval()\n return func(*args, **kwargs)\n\n return wrapper\n\n\ndef lazy_property(func):\n return property(lazy_method(func))\n\n\nclass LineageRunner(object):\n def __init__(\n self,\n sql: str,\n encoding: str = None,\n verbose: bool = False,\n draw_options: Dict[str, str] = None,\n ):\n \"\"\"\n The entry point of SQLLineage after command line options are parsed.\n\n :param sql: a string representation of SQL statements.\n :param encoding: the encoding for sql string\n :param verbose: verbose flag indicate whether statement-wise lineage result will be shown\n \"\"\"\n self._encoding = encoding\n self._sql = sql\n self._verbose = verbose\n self._draw_options = draw_options if draw_options else {}\n self._evaluated = False\n self._stmt: List[Statement] = []\n\n @lazy_method\n def __str__(self):\n \"\"\"\n print out the Lineage Summary.\n \"\"\"\n statements = self.statements(strip_comments=True)\n source_tables = \"\\n \".join(str(t) for t in self.source_tables)\n target_tables = \"\\n \".join(str(t) for t in self.target_tables)\n combined = f\"\"\"Statements(#): {len(statements)}\nSource Tables:\n {source_tables}\nTarget Tables:\n {target_tables}\n\"\"\"\n if self.intermediate_tables:\n intermediate_tables = \"\\n \".join(\n str(t) for t in self.intermediate_tables\n )\n combined += f\"\"\"Intermediate Tables:\n {intermediate_tables}\"\"\"\n if self._verbose:\n result = \"\"\n for i, holder in enumerate(self._stmt_holders):\n stmt_short = statements[i].replace(\"\\n\", \"\")\n if len(stmt_short) > 50:\n stmt_short = stmt_short[:50] + \"...\"\n content = str(holder).replace(\"\\n\", \"\\n \")\n result += f\"\"\"Statement #{i + 1}: {stmt_short}\n {content}\n\"\"\"\n combined = result + \"==========\\nSummary:\\n\" + combined\n return combined\n\n @lazy_method\n def to_cytoscape(self, level=LineageLevel.TABLE) -> List[Dict[str, Dict[str, str]]]:\n \"\"\"\n to turn the DAG into cytoscape format.\n \"\"\"\n if level == LineageLevel.COLUMN:\n return to_cytoscape(self._sql_holder.column_lineage_graph, compound=True)\n else:\n return to_cytoscape(self._sql_holder.table_lineage_graph)\n\n def draw(self) -> None:\n \"\"\"\n to draw the lineage directed graph\n \"\"\"",
"start_line": 1,
"end_line": 100,
"total_lines": 181,
"is_truncated": false
}Generated tokens 72 tokens · stopped: STOP
Wait, I am reading the same lines over and over. Let me read `sqllineage/runner.py` from the beginning and find `_eval`.
<channel|><|tool_call>call:read_file{end_line:100,filepath:<|"|>sqllineage/runner.py<|"|>,start_line:1}<tool_call|><|tool_response>
Turn 7at 44 s65 tokens out6,972 prompt tokens
I'm still not seeing `_eval`. Let me read from line 101 to the end of `sqllineage/runner.py`.
TOOL CALL · read_file
{
"filepath": "sqllineage/runner.py",
"start_line": 101
}Result of read_file 3,021 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": " draw_options = self._draw_options\n if draw_options.get(\"f\") is None:\n draw_options.pop(\"f\", None)\n draw_options[\"e\"] = self._sql\n return draw_lineage_graph(**draw_options)\n\n @lazy_method\n def statements(self, **kwargs) -> List[str]:\n \"\"\"\n a list of statements.\n\n :param kwargs: the key arguments that will be passed to `sqlparse.format`\n \"\"\"\n return [sqlparse.format(s.value, **kwargs) for s in self.statements_parsed]\n\n @lazy_property\n def statements_parsed(self) -> List[Statement]:\n \"\"\"\n a list of :class:`sqlparse.sql.Statement`\n \"\"\"\n return self._stmt\n\n @lazy_property\n def source_tables(self) -> List[Table]:\n \"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.source_tables, key=lambda x: str(x))\n\n @lazy_property\n def target_tables(self) -> List[Table]:\n \"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.target_tables, key=lambda x: str(x))\n\n @lazy_property\n def intermediate_tables(self) -> List[Table]:\n \"\"\"\n a list of intermediate :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.intermediate_tables, key=lambda x: str(x))\n\n @lazy_method\n def get_column_lineage(self, exclude_subquery=True) -> List[Tuple[Column, Column]]:\n \"\"\"\n a list of column tuple :class:`sqllineage.models.Column`\n \"\"\"\n # sort by target column, and then source column\n return sorted(\n self._sql_holder.get_column_lineage(exclude_subquery),\n key=lambda x: (str(x[-1]), str(x[0])),\n )\n\n def print_column_lineage(self) -> None:\n \"\"\"\n print column level lineage to stdout\n \"\"\"\n for path in self.get_column_lineage():\n print(\" <- \".join(str(col) for col in reversed(path)))\n\n def print_table_lineage(self) -> None:\n \"\"\"\n print table level lineage to stdout\n \"\"\"\n print(str(self))\n\n def _eval(self):\n self._stmt = [\n s\n for s in sqlparse.parse(\n # first apply sqlparser formatting just to get rid of comments, which cause\n # inconsistencies in parsing output\n sqlparse.format(self._sql.strip(), self._encoding, strip_comments=True),\n self._encoding,\n )\n if s.token_first(skip_cm=True)\n ]\n self._stmt_holders = [LineageAnalyzer().analyze(stmt) for stmt in self._stmt]\n self._sql_holder = SQLLineageHolder.of(*self._stmt_holders)\n self._evaluated = True",
"start_line": 101,
"end_line": 181,
"total_lines": 181,
"is_truncated": false
}Generated tokens 65 tokens · stopped: STOP
I'm still not seeing `_eval`. Let me read from line 101 to the end of `sqllineage/runner.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>,start_line:101}<tool_call|><|tool_response>
Turn 8at 67 s443 tokens out7,965 prompt tokens
Okay, `_eval` is at the end.
```python
def _eval(self):
self._stmt = [
s
for s in sqlparse.parse(
# first apply sqlparser formatting just to get rid of comments, which cause
# inconsistencies in parsing output
sqlparse.format(self._sql.strip(), self._encoding, strip_comments=True),
self._encoding,
)
if s.token_first(skip_cm=True)
]
self._stmt_holders = [LineageAnalyzer().analyze(stmt) for stmt in self._stmt]
self._sql_holder = SQLLineageHolder.of(*self._stmt_holders)
self._evaluated = True
```
And `source_tables` and `target_tables` are retrieved from `self._sql_holder`.
```python
@lazy_property
def source_tables(self) -> List[Table]:
\"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.source_tables, key=lambda x: str(x))
@lazy_property
def target_tables(self) -> List[Table]:
\"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.target_tables, key=lambda x: str(x))
```
So the logic for identifying source and target tables is in `SQLLineageHolder` (and possibly `LineageAnalyzer`).
Let's examine `sqllineage/core/holders.py` and `sqllineage/core/analyzer.py`.
First, `sqllineage/core/holders.py`.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/holders.py"
}Result of read_file 5,712 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"content": "import itertools\nfrom typing import Set, Tuple, Union\n\nimport networkx as nx\nfrom networkx import DiGraph\n\nfrom sqllineage.core.models import Column, Path, SubQuery, Table\nfrom sqllineage.utils.constant import EdgeType, NodeTag\n\nDATASET_CLASSES = (Path, Table)\n\n\nclass ColumnLineageMixin:\n def get_column_lineage(self, exclude_subquery=True) -> Set[Tuple[Column, ...]]:\n self.graph: DiGraph # For mypy attribute checking\n # filter all the column node in the graph\n column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]\n column_graph = self.graph.subgraph(column_nodes)\n source_columns = {column for column, deg in column_graph.in_degree if deg == 0}\n # if a column lineage path ends at SubQuery, then it should be pruned\n target_columns = {\n node\n for node, deg in column_graph.out_degree\n if isinstance(node, Column) and deg == 0\n }\n if exclude_subquery:\n target_columns = {\n node for node in target_columns if isinstance(node.parent, Table)\n }\n columns = set()\n for (source, target) in itertools.product(source_columns, target_columns):\n simple_paths = list(nx.all_simple_paths(self.graph, source, target))\n if len(simple_paths) == 1:\n columns.add(tuple(simple_paths[0]))\n # we can ignore when simple path doesn't exist, but could there be more than one simple path?\n return columns\n\n\nclass SubQueryLineageHolder(ColumnLineageMixin):\n \"\"\"\n SubQuery/Query Level Lineage Result.\n\n SubQueryLineageHolder will hold attributes like read, write, cte\n\n Each of them is a Set[:class:`sqllineage.models.Table`].\n\n This is the most atomic representation of lineage result.\n \"\"\"\n\n def __init__(self) -> None:\n self.graph = nx.DiGraph()\n\n def __or__(self, other):\n self.graph = nx.compose(self.graph, other.graph)\n return self\n\n def _property_getter(self, prop) -> Set[Union[SubQuery, Table]]:\n return {t for t, attr in self.graph.nodes(data=True) if attr.get(prop) is True}\n\n def _property_setter(self, value, prop) -> None:\n self.graph.add_node(value, **{prop: True})\n\n @property\n def read(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.READ)\n\n def add_read(self, value) -> None:\n self._property_setter(value, NodeTag.READ)\n # the same table can be added (in SQL: joined) multiple times with different alias\n if hasattr(value, \"alias\"):\n self.graph.add_edge(value, value.alias, type=EdgeType.HAS_ALIAS)\n\n @property\n def write(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.WRITE)\n\n def add_write(self, value) -> None:\n self._property_setter(value, NodeTag.WRITE)\n\n @property\n def cte(self) -> Set[SubQuery]:\n return self._property_getter(NodeTag.CTE) # type: ignore\n\n def add_cte(self, value) -> None:\n self._property_setter(value, NodeTag.CTE)\n\n def add_column_lineage(self, src: Column, tgt: Column) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)\n self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)\n if src.parent is not None:\n # starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892\n self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)\n\n\nclass StatementLineageHolder(SubQueryLineageHolder, ColumnLineageMixin):\n \"\"\"\n Statement Level Lineage Result.\n\n Based on SubQueryLineageHolder, StatementLineageHolder holds extra attributes like drop and rename\n\n For drop, it is a Set[:class:`sqllineage.models.Table`].\n\n For rename, it a Set[Tuple[:class:`sqllineage.models.Table`, :class:`sqllineage.models.Table`]], with the first\n table being original table before renaming and the latter after renaming.\n \"\"\"\n\n def __str__(self):\n return \"\\n\".join(\n f\"table {attr}: {sorted(getattr(self, attr), key=lambda x: str(x)) if getattr(self, attr) else '[]'}\"\n for attr in [\"read\", \"write\", \"cte\", \"drop\", \"rename\"]\n )\n\n def __repr__(self):\n return str(self)\n\n @property\n def read(self) -> Set[Table]: # type: ignore\n return {t for t in super().read if isinstance(t, DATASET_CLASSES)}\n\n @property\n def write(self) -> Set[Table]: # type: ignore\n return {t for t in super().write if isinstance(t, DATASET_CLASSES)}\n\n @property\n def drop(self) -> Set[Table]:\n return self._property_getter(NodeTag.DROP) # type: ignore\n\n def add_drop(self, value) -> None:\n self._property_setter(value, NodeTag.DROP)\n\n @property\n def rename(self) -> Set[Tuple[Table, Table]]:\n return {\n (src, tgt)\n for src, tgt, attr in self.graph.edges(data=True)\n if attr.get(\"type\") == EdgeType.RENAME\n }\n\n def add_rename(self, src: Table, tgt: Table) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.RENAME)\n\n @staticmethod\n def of(holder: SubQueryLineageHolder):\n stmt_holder = StatementLineageHolder()\n stmt_holder.graph = holder.graph\n return stmt_holder\n\n\nclass SQLLineageHolder(ColumnLineageMixin):\n def __init__(self, graph: DiGraph):",
"start_line": 1,
"end_line": 150,
"total_lines": 280,
"is_truncated": true
}Generated tokens 443 tokens · stopped: STOP
Okay, `_eval` is at the end.
```python
def _eval(self):
self._stmt = [
s
for s in sqlparse.parse(
# first apply sqlparser formatting just to get rid of comments, which cause
# inconsistencies in parsing output
sqlparse.format(self._sql.strip(), self._encoding, strip_comments=True),
self._encoding,
)
if s.token_first(skip_cm=True)
]
self._stmt_holders = [LineageAnalyzer().analyze(stmt) for stmt in self._stmt]
self._sql_holder = SQLLineageHolder.of(*self._stmt_holders)
self._evaluated = True
```
And `source_tables` and `target_tables` are retrieved from `self._sql_holder`.
```python
@lazy_property
def source_tables(self) -> List[Table]:
\"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.source_tables, key=lambda x: str(x))
@lazy_property
def target_tables(self) -> List[Table]:
\"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.target_tables, key=lambda x: str(x))
```
So the logic for identifying source and target tables is in `SQLLineageHolder` (and possibly `LineageAnalyzer`).
Let's examine `sqllineage/core/holders.py` and `sqllineage/core/analyzer.py`.
First, `sqllineage/core/holders.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>}<tool_call|><|tool_response>
Turn 9at 72 s57 tokens out10,172 prompt tokens
`SQLLineageHolder` starts at the end of the file. Let me read the rest of it.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/holders.py",
"start_line": 151
}Result of read_file 5,870 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"content": " \"\"\"\n The combined lineage result in representation of Directed Acyclic Graph.\n\n :param graph: the Directed Acyclic Graph holding all the combined lineage result.\n \"\"\"\n self.graph = graph\n self._selfloop_tables = self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n self._sourceonly_tables = self.__retrieve_tag_tables(NodeTag.SOURCE_ONLY)\n self._targetonly_tables = self.__retrieve_tag_tables(NodeTag.TARGET_ONLY)\n\n @property\n def table_lineage_graph(self) -> DiGraph:\n \"\"\"\n The table level DiGraph held by SQLLineageHolder\n \"\"\"\n table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)]\n return self.graph.subgraph(table_nodes)\n\n @property\n def column_lineage_graph(self) -> DiGraph:\n \"\"\"\n The column level DiGraph held by SQLLineageHolder\n \"\"\"\n column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]\n return self.graph.subgraph(column_nodes)\n\n @property\n def source_tables(self) -> Set[Table]:\n \"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n source_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n source_tables |= self._selfloop_tables\n source_tables |= self._sourceonly_tables\n return source_tables\n\n @property\n def target_tables(self) -> Set[Table]:\n \"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n target_tables = {\n table for table, deg in self.table_lineage_graph.out_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.in_degree if deg > 0}\n )\n target_tables |= self._selfloop_tables\n target_tables |= self._targetonly_tables\n return target_tables\n\n @property\n def intermediate_tables(self) -> Set[Table]:\n \"\"\"\n a list of intermediate :class:`sqllineage.models.Table`\n \"\"\"\n intermediate_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg > 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n intermediate_tables -= self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n return intermediate_tables\n\n def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if attr.get(tag) is True\n }\n\n @staticmethod\n def of(*args: StatementLineageHolder):\n \"\"\"\n To assemble multiple :class:`sqllineage.holders.StatementLineageHolder` into\n :class:`sqllineage.holders.SQLLineageHolder`\n \"\"\"\n g = DiGraph()\n for holder in args:\n g = nx.compose(g, holder.graph)\n if holder.drop:\n for table in holder.drop:\n if g.has_node(table) and g.degree[table] == 0:\n g.remove_node(table)\n elif holder.rename:\n for (table_old, table_new) in holder.rename:\n g = nx.relabel_nodes(g, {table_old: table_new})\n g.remove_edge(table_new, table_new)\n if g.degree[table_new] == 0:\n g.remove_node(table_new)\n else:\n read, write = holder.read, holder.write\n if len(read) > 0 and len(write) == 0:\n # source only table comes from SELECT statement\n g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})\n elif len(read) == 0 and len(write) > 0:\n # target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE\n g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})\n else:\n g.add_nodes_from(read)\n g.add_nodes_from(write)\n for source, target in itertools.product(read, write):\n g.add_edge(source, target, type=EdgeType.LINEAGE)\n for table in {e[0] for e in nx.selfloop_edges(g)}:\n g.nodes[table][NodeTag.SELFLOOP] = True\n # find all the columns that we can't assign accurately to a parent table (with multiple parent candidates)\n unresolved_cols = [\n (s, t)\n for s, t in g.edges\n if isinstance(s, Column) and len(s.parent_candidates) > 1\n ]\n for unresolved_col, tgt_col in unresolved_cols:\n # check if there's only one parent candidate contains the column with same name\n src_cols = []\n for parent in unresolved_col.parent_candidates:\n src_col = Column(unresolved_col.raw_name)\n src_col.parent = parent\n if g.has_edge(parent, src_col):\n src_cols.append(src_col)\n if len(src_cols) == 1:\n g.add_edge(src_cols[0], tgt_col, type=EdgeType.LINEAGE)\n g.remove_edge(unresolved_col, tgt_col)\n # when unresolved column got resolved, it will be orphan node, and we can remove it\n for node in [n for n, deg in g.degree if deg == 0]:\n if isinstance(node, Column) and len(node.parent_candidates) > 1:\n g.remove_node(node)\n return SQLLineageHolder(g)",
"start_line": 151,
"end_line": 280,
"total_lines": 280,
"is_truncated": false
}Generated tokens 57 tokens · stopped: STOP
`SQLLineageHolder` starts at the end of the file. Let me read the rest of it.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 10at 105 s629 tokens out11,921 prompt tokens
In `SQLLineageHolder`, `source_tables` and `target_tables` are calculated as follows:
```python
@property
def source_tables(self) -> Set[Table]:
\"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n source_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n source_tables |= self._selfloop_tables\n source_tables |= self._sourceonly_tables\n return source_tables
@property
def target_tables(self) -> Set[Table]:
\"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n target_tables = {\n table for table, deg in self.table_lineage_graph.out_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.in_degree if deg > 0}\n )\n target_tables |= self._selfloop_tables\n target_tables |= self._targetonly_tables\n return target_tables
```
And `table_lineage_graph` is:
```python
@property
def table_lineage_graph(self) -> DiGraph:
\"\"\"\n The table level DiGraph held by SQLLineageHolder\n \"\"\"\n table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)]\n return self.graph.subgraph(table_nodes)\n```
And `DATASET_CLASSES` is `(Path, Table)`.
Wait, the issue report says:
```
Source Tables:
<default>.foo
<default>.foo.col
Target Tables:
<default>.foo
<default>.foo.col
```
If `<default>.foo.col` is appearing in `source_tables` and `target_tables`, it means `<default>.foo.col` (which sounds like a `Column` object) is being considered as a `Table` object, OR it's being added to `self.graph.nodes` and `isinstance(n, DATASET_CLASSES)` is returning True for it.
Let's check `sqllineage/core/models.py` to see what `Table` and `Column` are.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/models.py"
}Result of read_file 4,606 characters
{
"status": "ok",
"filepath": "sqllineage/core/models.py",
"content": "import warnings\nfrom typing import Dict, List, Optional, Set, Union\n\nfrom sqlparse import tokens as T\nfrom sqlparse.engine import grouping\nfrom sqlparse.sql import (\n Case,\n Comparison,\n Function,\n Identifier,\n IdentifierList,\n Operation,\n Parenthesis,\n Token,\n TokenList,\n)\nfrom sqlparse.utils import imt\n\nfrom sqllineage.exceptions import SQLLineageException\nfrom sqllineage.utils.entities import ColumnQualifierTuple\nfrom sqllineage.utils.helpers import escape_identifier_name\nfrom sqllineage.utils.sqlparse import get_parameters, is_subquery\n\n\nclass Schema:\n unknown = \"<default>\"\n\n def __init__(self, name: str = unknown):\n \"\"\"\n Data Class for Schema\n\n :param name: schema name\n \"\"\"\n self.raw_name = escape_identifier_name(name)\n\n def __str__(self):\n return self.raw_name.lower()\n\n def __repr__(self):\n return \"Schema: \" + str(self)\n\n def __eq__(self, other):\n return type(self) is type(other) and str(self) == str(other)\n\n def __hash__(self):\n return hash(str(self))\n\n def __bool__(self):\n return str(self) != self.unknown\n\n\nclass Table:\n def __init__(self, name: str, schema: Schema = Schema(), **kwargs):\n \"\"\"\n Data Class for Table\n\n :param name: table name\n :param schema: schema as defined by :class:`Schema`\n \"\"\"\n if \".\" not in name:\n self.schema = schema\n self.raw_name = escape_identifier_name(name)\n else:\n schema_name, table_name = name.rsplit(\".\", 1)\n if len(schema_name.split(\".\")) > 2:\n # allow db.schema as schema_name, but a.b.c as schema_name is forbidden\n raise SQLLineageException(\"Invalid format for table name: %s.\", name)\n self.schema = Schema(schema_name)\n self.raw_name = escape_identifier_name(table_name)\n if schema:\n warnings.warn(\"Name is in schema.table format, schema param is ignored\")\n self.alias = kwargs.pop(\"alias\", self.raw_name)\n\n def __str__(self):\n return f\"{self.schema}.{self.raw_name.lower()}\"\n\n def __repr__(self):\n return \"Table: \" + str(self)\n\n def __eq__(self, other):\n return type(self) is type(other) and str(self) == str(other)\n\n def __hash__(self):\n return hash(str(self))\n\n @staticmethod\n def of(identifier: Identifier) -> \"Table\":\n # rewrite identifier's get_real_name method, by matching the last dot instead of the first dot, so that the\n # real name for a.b.c will be c instead of b\n dot_idx, _ = identifier._token_matching(\n lambda token: imt(token, m=(T.Punctuation, \".\")),\n start=len(identifier.tokens),\n reverse=True,\n )\n real_name = identifier._get_first_name(dot_idx, real_name=True)\n # rewrite identifier's get_parent_name accordingly\n parent_name = (\n \"\".join(\n [\n escape_identifier_name(token.value)\n for token in identifier.tokens[:dot_idx]\n ]\n )\n if dot_idx\n else None\n )\n schema = Schema(parent_name) if parent_name is not None else Schema()\n alias = identifier.get_alias()\n kwargs = {\"alias\": alias} if alias else {}\n return Table(real_name, schema, **kwargs)\n\n\nclass Path:\n def __init__(self, uri: str):\n self.uri = escape_identifier_name(uri)\n\n def __str__(self):\n return self.uri\n\n def __repr__(self):\n return \"Path: \" + str(self)\n\n def __eq__(self, other):\n return type(self) is type(other) and self.uri == other.uri\n\n def __hash__(self):\n return hash(self.uri)\n\n\nclass Partition:\n pass\n\n\nclass SubQuery:\n def __init__(self, token: Parenthesis, alias: Optional[str]):\n \"\"\"\n Data Class for SubQuery\n\n :param token: subquery token\n :param alias: subquery name\n \"\"\"\n self.token = token\n self._query = token.value\n self.alias = alias if alias is not None else f\"subquery_{hash(self)}\"\n\n def __str__(self):\n return self.alias\n\n def __repr__(self):\n return \"SubQuery: \" + str(self)",
"start_line": 1,
"end_line": 150,
"total_lines": 348,
"is_truncated": true
}Generated tokens 629 tokens · stopped: STOP
In `SQLLineageHolder`, `source_tables` and `target_tables` are calculated as follows:
```python
@property
def source_tables(self) -> Set[Table]:
\"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n source_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n source_tables |= self._selfloop_tables\n source_tables |= self._sourceonly_tables\n return source_tables
@property
def target_tables(self) -> Set[Table]:
\"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n target_tables = {\n table for table, deg in self.table_lineage_graph.out_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.in_degree if deg > 0}\n )\n target_tables |= self._selfloop_tables\n target_tables |= self._targetonly_tables\n return target_tables
```
And `table_lineage_graph` is:
```python
@property
def table_lineage_graph(self) -> DiGraph:
\"\"\"\n The table level DiGraph held by SQLLineageHolder\n \"\"\"\n table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)]\n return self.graph.subgraph(table_nodes)\n```
And `DATASET_CLASSES` is `(Path, Table)`.
Wait, the issue report says:
```
Source Tables:
<default>.foo
<default>.foo.col
Target Tables:
<default>.foo
<default>.foo.col
```
If `<default>.foo.col` is appearing in `source_tables` and `target_tables`, it means `<default>.foo.col` (which sounds like a `Column` object) is being considered as a `Table` object, OR it's being added to `self.graph.nodes` and `isinstance(n, DATASET_CLASSES)` is returning True for it.
Let's check `sqllineage/core/models.py` to see what `Table` and `Column` are.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/models.py<|"|>}<tool_call|><|tool_response>
Turn 11at 109 s56 tokens out13,929 prompt tokens
I need to see the `Column` class in `sqllineage/core/models.py`.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/models.py",
"start_line": 151
}Result of read_file 6,008 characters
{
"status": "ok",
"filepath": "sqllineage/core/models.py",
"content": "\n def __eq__(self, other):\n return type(self) is type(other) and self._query == other._query\n\n def __hash__(self):\n return hash(self._query)\n\n @staticmethod\n def of(parenthesis: Parenthesis, alias: Optional[str]) -> \"SubQuery\":\n return SubQuery(parenthesis, alias)\n\n\nclass Column:\n def __init__(self, name: str, **kwargs):\n \"\"\"\n Data Class for Column\n\n :param name: column name\n :param parent: :class:`Table` or :class:`SubQuery`\n :param kwargs:\n \"\"\"\n self._parent: Set[Union[Table, SubQuery]] = set()\n self.raw_name = escape_identifier_name(name)\n self.source_columns = kwargs.pop(\"source_columns\", ((self.raw_name, None),))\n\n def __str__(self):\n return (\n f\"{self.parent}.{self.raw_name.lower()}\"\n if self.parent is not None and not isinstance(self.parent, Path)\n else f\"{self.raw_name.lower()}\"\n )\n\n def __repr__(self):\n return \"Column: \" + str(self)\n\n def __eq__(self, other):\n return type(self) is type(other) and str(self) == str(other)\n\n def __hash__(self):\n return hash(str(self))\n\n @property\n def parent(self) -> Optional[Union[Table, SubQuery]]:\n return list(self._parent)[0] if len(self._parent) == 1 else None\n\n @parent.setter\n def parent(self, value: Union[Table, SubQuery]):\n self._parent.add(value)\n\n @property\n def parent_candidates(self) -> List[Union[Table, SubQuery]]:\n return sorted(self._parent, key=lambda p: str(p))\n\n @staticmethod\n def of(token: Token):\n if isinstance(token, Identifier):\n alias = token.get_alias()\n if alias:\n # handle column alias, including alias for column name or Case, Function\n kw_idx, kw = token.token_next_by(m=(T.Keyword, \"AS\"))\n if kw_idx is None:\n # alias without AS\n kw_idx, _ = token.token_next_by(i=Identifier)\n if kw_idx is None:\n # invalid syntax: col AS, without alias\n return Column(alias)\n else:\n idx, _ = token.token_prev(kw_idx, skip_cm=True)\n expr = grouping.group(TokenList(token.tokens[: idx + 1]))[0]\n source_columns = Column._extract_source_columns(expr)\n return Column(alias, source_columns=source_columns)\n else:\n # select column name directly without alias\n return Column(\n token.get_real_name(),\n source_columns=((token.get_real_name(), token.get_parent_name()),),\n )\n else:\n # Wildcard, Case, Function without alias (thus not recognized as an Identifier)\n source_columns = Column._extract_source_columns(token)\n return Column(token.value, source_columns=source_columns)\n\n @staticmethod\n def _extract_source_columns(token: Token) -> List[ColumnQualifierTuple]:\n if isinstance(token, Function):\n # max(col1) AS col2\n source_columns = [\n cqt\n for tk in get_parameters(token)\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Parenthesis):\n if is_subquery(token):\n # This is to avoid circular import\n from sqllineage.runner import LineageRunner\n\n # (SELECT avg(col1) AS col1 FROM tab3), used after WHEN or THEN in CASE clause\n src_cols = [\n lineage[0]\n for lineage in LineageRunner(token.value).get_column_lineage(\n exclude_subquery=False\n )\n ]\n source_columns = [\n ColumnQualifierTuple(src_col.raw_name, src_col.parent.raw_name)\n for src_col in src_cols\n ]\n else:\n # (col1 + col2) AS col3\n source_columns = [\n cqt\n for tk in token.tokens[1:-1]\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Operation):\n # col1 + col2 AS col3\n source_columns = [\n cqt\n for tk in token.get_sublists()\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Case):\n # CASE WHEN col1 = 2 THEN \"V1\" WHEN col1 = \"2\" THEN \"V2\" END AS col2\n source_columns = [\n cqt\n for tk in token.get_sublists()\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Comparison):\n source_columns = Column._extract_source_columns(\n token.left\n ) + Column._extract_source_columns(token.right)\n elif isinstance(token, IdentifierList):\n source_columns = [\n cqt\n for tk in token.get_sublists()\n for cqt in Column._extract_source_columns(tk)\n ]\n elif isinstance(token, Identifier):\n if token.get_real_name():\n # col1 AS col2\n source_columns = [\n ColumnQualifierTuple(token.get_real_name(), token.get_parent_name())\n ]\n else:\n # col1=1 AS int\n source_columns = [\n cqt\n for tk in token.get_sublists()\n for cqt in Column._extract_source_columns(tk)",
"start_line": 151,
"end_line": 300,
"total_lines": 348,
"is_truncated": true
}Generated tokens 56 tokens · stopped: STOP
I need to see the `Column` class in `sqllineage/core/models.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/models.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 12at 133 s219 tokens out15,586 prompt tokens
Wait, if `Column` objects are in the graph and `DATASET_CLASSES` check is used to identify tables, only `Table` and `Path` should be selected. ```python DATASET_CLASSES = (Path, Table) ... table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)] return self.graph.subgraph(table_nodes) ``` Wait, maybe the `Column` object is actually a `Table` object? No, they are different classes. Let's try to reproduce this. I'll create a script that uses `LineageRunner` with the problematic SQL.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\nsql = \"\"\"\nINSERT OVERWRITE TABLE foo\nSELECT col FROM foo\nWHERE flag IS NOT NULL\n\"\"\"\nrunner = LineageRunner(sql)\nprint(runner)\nPY\n"
}Result of run_command 196 characters
{
"status": "ok",
"stdout": "Statements(#): 1\nSource Tables:\n <default>.foo\n <default>.foo.col\nTarget Tables:\n <default>.foo\n <default>.foo.col\n\n",
"stderr": "",
"exit_code": 0
}Generated tokens 219 tokens · stopped: STOP
Wait, if `Column` objects are in the graph and `DATASET_CLASSES` check is used to identify tables, only `Table` and `Path` should be selected.
```python
DATASET_CLASSES = (Path, Table)
...
table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)]
return self.graph.subgraph(table_nodes)
```
Wait, maybe the `Column` object is actually a `Table` object? No, they are different classes.
Let's try to reproduce this. I'll create a script that uses `LineageRunner` with the problematic SQL.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from sqllineage.runner import LineageRunner
sql = """
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
"""
runner = LineageRunner(sql)
print(runner)
PY
<|"|>}<tool_call|><|tool_response>
Turn 13at 183 s105 tokens out6,271 prompt tokens
Aha! Reproduced. `Source Tables: <default>.foo, <default>.foo.col` `Target Tables: <default>.foo, <default>.foo.col` This is very strange because `Column` is not in `DATASET_CLASSES`. Let's investigate `LineageRunner.__str__` and how it uses `SQLLineageHolder`.
TOOL CALL · read_file
{
"filepath": "sqllineage/runner.py"
}Result of read_file 5,132 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": "import logging\nfrom typing import Dict, List, Tuple\n\nimport sqlparse\nfrom sqlparse.sql import Statement\n\nfrom sqllineage.core import LineageAnalyzer\nfrom sqllineage.core.holders import SQLLineageHolder\nfrom sqllineage.core.models import Column, Table\nfrom sqllineage.drawing import draw_lineage_graph\nfrom sqllineage.io import to_cytoscape\nfrom sqllineage.utils.constant import LineageLevel\n\n\nlogger = logging.getLogger(__name__)\n\n\ndef lazy_method(func):\n def wrapper(*args, **kwargs):\n self = args[0]\n if not self._evaluated:\n self._eval()\n return func(*args, **kwargs)\n\n return wrapper\n\n\ndef lazy_property(func):\n return property(lazy_method(func))\n\n\nclass LineageRunner(object):\n def __init__(\n self,\n sql: str,\n encoding: str = None,\n verbose: bool = False,\n draw_options: Dict[str, str] = None,\n ):\n \"\"\"\n The entry point of SQLLineage after command line options are parsed.\n\n :param sql: a string representation of SQL statements.\n :param encoding: the encoding for sql string\n :param verbose: verbose flag indicate whether statement-wise lineage result will be shown\n \"\"\"\n self._encoding = encoding\n self._sql = sql\n self._verbose = verbose\n self._draw_options = draw_options if draw_options else {}\n self._evaluated = False\n self._stmt: List[Statement] = []\n\n @lazy_method\n def __str__(self):\n \"\"\"\n print out the Lineage Summary.\n \"\"\"\n statements = self.statements(strip_comments=True)\n source_tables = \"\\n \".join(str(t) for t in self.source_tables)\n target_tables = \"\\n \".join(str(t) for t in self.target_tables)\n combined = f\"\"\"Statements(#): {len(statements)}\nSource Tables:\n {source_tables}\nTarget Tables:\n {target_tables}\n\"\"\"\n if self.intermediate_tables:\n intermediate_tables = \"\\n \".join(\n str(t) for t in self.intermediate_tables\n )\n combined += f\"\"\"Intermediate Tables:\n {intermediate_tables}\"\"\"\n if self._verbose:\n result = \"\"\n for i, holder in enumerate(self._stmt_holders):\n stmt_short = statements[i].replace(\"\\n\", \"\")\n if len(stmt_short) > 50:\n stmt_short = stmt_short[:50] + \"...\"\n content = str(holder).replace(\"\\n\", \"\\n \")\n result += f\"\"\"Statement #{i + 1}: {stmt_short}\n {content}\n\"\"\"\n combined = result + \"==========\\nSummary:\\n\" + combined\n return combined\n\n @lazy_method\n def to_cytoscape(self, level=LineageLevel.TABLE) -> List[Dict[str, Dict[str, str]]]:\n \"\"\"\n to turn the DAG into cytoscape format.\n \"\"\"\n if level == LineageLevel.COLUMN:\n return to_cytoscape(self._sql_holder.column_lineage_graph, compound=True)\n else:\n return to_cytoscape(self._sql_holder.table_lineage_graph)\n\n def draw(self) -> None:\n \"\"\"\n to draw the lineage directed graph\n \"\"\"\n draw_options = self._draw_options\n if draw_options.get(\"f\") is None:\n draw_options.pop(\"f\", None)\n draw_options[\"e\"] = self._sql\n return draw_lineage_graph(**draw_options)\n\n @lazy_method\n def statements(self, **kwargs) -> List[str]:\n \"\"\"\n a list of statements.\n\n :param kwargs: the key arguments that will be passed to `sqlparse.format`\n \"\"\"\n return [sqlparse.format(s.value, **kwargs) for s in self.statements_parsed]\n\n @lazy_property\n def statements_parsed(self) -> List[Statement]:\n \"\"\"\n a list of :class:`sqlparse.sql.Statement`\n \"\"\"\n return self._stmt\n\n @lazy_property\n def source_tables(self) -> List[Table]:\n \"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.source_tables, key=lambda x: str(x))\n\n @lazy_property\n def target_tables(self) -> List[Table]:\n \"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.target_tables, key=lambda x: str(x))\n\n @lazy_property\n def intermediate_tables(self) -> List[Table]:\n \"\"\"\n a list of intermediate :class:`sqllineage.models.Table`\n \"\"\"\n return sorted(self._sql_holder.intermediate_tables, key=lambda x: str(x))\n\n @lazy_method\n def get_column_lineage(self, exclude_subquery=True) -> List[Tuple[Column, Column]]:\n \"\"\"\n a list of column tuple :class:`sqllineage.models.Column`\n \"\"\"\n # sort by target column, and then source column\n return sorted(",
"start_line": 1,
"end_line": 150,
"total_lines": 181,
"is_truncated": true
}Generated tokens 105 tokens · stopped: STOP
Aha! Reproduced.
`Source Tables: <default>.foo, <default>.foo.col`
`Target Tables: <default>.foo, <default>.foo.col`
This is very strange because `Column` is not in `DATASET_CLASSES`.
Let's investigate `LineageRunner.__str__` and how it uses `SQLLineageHolder`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>}<tool_call|><|tool_response>
Turn 14at 193 s108 tokens out7,910 prompt tokens
`LineageRunner` use `_sql_holder.source_tables` and `_sql_holder.target_tables`. `_sql_holder` is likely an instance of `SQLLineageHolder`. Let's see where `_sql_holder` is initialized in `LineageRunner`. It's probably in `_eval()`.
TOOL CALL · read_file
{
"filepath": "sqllineage/runner.py",
"start_line": 151
}Result of read_file 1,295 characters
{
"status": "ok",
"filepath": "sqllineage/runner.py",
"content": " self._sql_holder.get_column_lineage(exclude_subquery),\n key=lambda x: (str(x[-1]), str(x[0])),\n )\n\n def print_column_lineage(self) -> None:\n \"\"\"\n print column level lineage to stdout\n \"\"\"\n for path in self.get_column_lineage():\n print(\" <- \".join(str(col) for col in reversed(path)))\n\n def print_table_lineage(self) -> None:\n \"\"\"\n print table level lineage to stdout\n \"\"\"\n print(str(self))\n\n def _eval(self):\n self._stmt = [\n s\n for s in sqlparse.parse(\n # first apply sqlparser formatting just to get rid of comments, which cause\n # inconsistencies in parsing output\n sqlparse.format(self._sql.strip(), self._encoding, strip_comments=True),\n self._encoding,\n )\n if s.token_first(skip_cm=True)\n ]\n self._stmt_holders = [LineageAnalyzer().analyze(stmt) for stmt in self._stmt]\n self._sql_holder = SQLLineageHolder.of(*self._stmt_holders)\n self._evaluated = True",
"start_line": 151,
"end_line": 181,
"total_lines": 181,
"is_truncated": false
}Generated tokens 108 tokens · stopped: STOP
`LineageRunner` use `_sql_holder.source_tables` and `_sql_holder.target_tables`.
`_sql_holder` is likely an instance of `SQLLineageHolder`.
Let's see where `_sql_holder` is initialized in `LineageRunner`. It's probably in `_eval()`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 15at 197 s84 tokens out8,414 prompt tokens
Ok, `self._sql_holder = SQLLineageHolder.of(*self._stmt_holders)`. Let's look at `SQLLineageHolder.of` and its `__init__` in `sqllineage/core/holders.py`.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/holders.py"
}Result of read_file 5,712 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"content": "import itertools\nfrom typing import Set, Tuple, Union\n\nimport networkx as nx\nfrom networkx import DiGraph\n\nfrom sqllineage.core.models import Column, Path, SubQuery, Table\nfrom sqllineage.utils.constant import EdgeType, NodeTag\n\nDATASET_CLASSES = (Path, Table)\n\n\nclass ColumnLineageMixin:\n def get_column_lineage(self, exclude_subquery=True) -> Set[Tuple[Column, ...]]:\n self.graph: DiGraph # For mypy attribute checking\n # filter all the column node in the graph\n column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]\n column_graph = self.graph.subgraph(column_nodes)\n source_columns = {column for column, deg in column_graph.in_degree if deg == 0}\n # if a column lineage path ends at SubQuery, then it should be pruned\n target_columns = {\n node\n for node, deg in column_graph.out_degree\n if isinstance(node, Column) and deg == 0\n }\n if exclude_subquery:\n target_columns = {\n node for node in target_columns if isinstance(node.parent, Table)\n }\n columns = set()\n for (source, target) in itertools.product(source_columns, target_columns):\n simple_paths = list(nx.all_simple_paths(self.graph, source, target))\n if len(simple_paths) == 1:\n columns.add(tuple(simple_paths[0]))\n # we can ignore when simple path doesn't exist, but could there be more than one simple path?\n return columns\n\n\nclass SubQueryLineageHolder(ColumnLineageMixin):\n \"\"\"\n SubQuery/Query Level Lineage Result.\n\n SubQueryLineageHolder will hold attributes like read, write, cte\n\n Each of them is a Set[:class:`sqllineage.models.Table`].\n\n This is the most atomic representation of lineage result.\n \"\"\"\n\n def __init__(self) -> None:\n self.graph = nx.DiGraph()\n\n def __or__(self, other):\n self.graph = nx.compose(self.graph, other.graph)\n return self\n\n def _property_getter(self, prop) -> Set[Union[SubQuery, Table]]:\n return {t for t, attr in self.graph.nodes(data=True) if attr.get(prop) is True}\n\n def _property_setter(self, value, prop) -> None:\n self.graph.add_node(value, **{prop: True})\n\n @property\n def read(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.READ)\n\n def add_read(self, value) -> None:\n self._property_setter(value, NodeTag.READ)\n # the same table can be added (in SQL: joined) multiple times with different alias\n if hasattr(value, \"alias\"):\n self.graph.add_edge(value, value.alias, type=EdgeType.HAS_ALIAS)\n\n @property\n def write(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.WRITE)\n\n def add_write(self, value) -> None:\n self._property_setter(value, NodeTag.WRITE)\n\n @property\n def cte(self) -> Set[SubQuery]:\n return self._property_getter(NodeTag.CTE) # type: ignore\n\n def add_cte(self, value) -> None:\n self._property_setter(value, NodeTag.CTE)\n\n def add_column_lineage(self, src: Column, tgt: Column) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)\n self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)\n if src.parent is not None:\n # starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892\n self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)\n\n\nclass StatementLineageHolder(SubQueryLineageHolder, ColumnLineageMixin):\n \"\"\"\n Statement Level Lineage Result.\n\n Based on SubQueryLineageHolder, StatementLineageHolder holds extra attributes like drop and rename\n\n For drop, it is a Set[:class:`sqllineage.models.Table`].\n\n For rename, it a Set[Tuple[:class:`sqllineage.models.Table`, :class:`sqllineage.models.Table`]], with the first\n table being original table before renaming and the latter after renaming.\n \"\"\"\n\n def __str__(self):\n return \"\\n\".join(\n f\"table {attr}: {sorted(getattr(self, attr), key=lambda x: str(x)) if getattr(self, attr) else '[]'}\"\n for attr in [\"read\", \"write\", \"cte\", \"drop\", \"rename\"]\n )\n\n def __repr__(self):\n return str(self)\n\n @property\n def read(self) -> Set[Table]: # type: ignore\n return {t for t in super().read if isinstance(t, DATASET_CLASSES)}\n\n @property\n def write(self) -> Set[Table]: # type: ignore\n return {t for t in super().write if isinstance(t, DATASET_CLASSES)}\n\n @property\n def drop(self) -> Set[Table]:\n return self._property_getter(NodeTag.DROP) # type: ignore\n\n def add_drop(self, value) -> None:\n self._property_setter(value, NodeTag.DROP)\n\n @property\n def rename(self) -> Set[Tuple[Table, Table]]:\n return {\n (src, tgt)\n for src, tgt, attr in self.graph.edges(data=True)\n if attr.get(\"type\") == EdgeType.RENAME\n }\n\n def add_rename(self, src: Table, tgt: Table) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.RENAME)\n\n @staticmethod\n def of(holder: SubQueryLineageHolder):\n stmt_holder = StatementLineageHolder()\n stmt_holder.graph = holder.graph\n return stmt_holder\n\n\nclass SQLLineageHolder(ColumnLineageMixin):\n def __init__(self, graph: DiGraph):",
"start_line": 1,
"end_line": 150,
"total_lines": 280,
"is_truncated": true
}Generated tokens 84 tokens · stopped: STOP
Ok, `self._sql_holder = SQLLineageHolder.of(*self._stmt_holders)`.
Let's look at `SQLLineageHolder.of` and its `__init__` in `sqllineage/core/holders.py`.<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>}<tool_call|><|tool_response>
Turn 16at 200 s61 tokens out10,263 prompt tokens
I need to see the rest of `SQLLineageHolder` in `sqllineage/core/holders.py`.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/holders.py",
"start_line": 151
}Result of read_file 5,870 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"content": " \"\"\"\n The combined lineage result in representation of Directed Acyclic Graph.\n\n :param graph: the Directed Acyclic Graph holding all the combined lineage result.\n \"\"\"\n self.graph = graph\n self._selfloop_tables = self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n self._sourceonly_tables = self.__retrieve_tag_tables(NodeTag.SOURCE_ONLY)\n self._targetonly_tables = self.__retrieve_tag_tables(NodeTag.TARGET_ONLY)\n\n @property\n def table_lineage_graph(self) -> DiGraph:\n \"\"\"\n The table level DiGraph held by SQLLineageHolder\n \"\"\"\n table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)]\n return self.graph.subgraph(table_nodes)\n\n @property\n def column_lineage_graph(self) -> DiGraph:\n \"\"\"\n The column level DiGraph held by SQLLineageHolder\n \"\"\"\n column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]\n return self.graph.subgraph(column_nodes)\n\n @property\n def source_tables(self) -> Set[Table]:\n \"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n source_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n source_tables |= self._selfloop_tables\n source_tables |= self._sourceonly_tables\n return source_tables\n\n @property\n def target_tables(self) -> Set[Table]:\n \"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n target_tables = {\n table for table, deg in self.table_lineage_graph.out_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.in_degree if deg > 0}\n )\n target_tables |= self._selfloop_tables\n target_tables |= self._targetonly_tables\n return target_tables\n\n @property\n def intermediate_tables(self) -> Set[Table]:\n \"\"\"\n a list of intermediate :class:`sqllineage.models.Table`\n \"\"\"\n intermediate_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg > 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n intermediate_tables -= self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n return intermediate_tables\n\n def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if attr.get(tag) is True\n }\n\n @staticmethod\n def of(*args: StatementLineageHolder):\n \"\"\"\n To assemble multiple :class:`sqllineage.holders.StatementLineageHolder` into\n :class:`sqllineage.holders.SQLLineageHolder`\n \"\"\"\n g = DiGraph()\n for holder in args:\n g = nx.compose(g, holder.graph)\n if holder.drop:\n for table in holder.drop:\n if g.has_node(table) and g.degree[table] == 0:\n g.remove_node(table)\n elif holder.rename:\n for (table_old, table_new) in holder.rename:\n g = nx.relabel_nodes(g, {table_old: table_new})\n g.remove_edge(table_new, table_new)\n if g.degree[table_new] == 0:\n g.remove_node(table_new)\n else:\n read, write = holder.read, holder.write\n if len(read) > 0 and len(write) == 0:\n # source only table comes from SELECT statement\n g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})\n elif len(read) == 0 and len(write) > 0:\n # target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE\n g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})\n else:\n g.add_nodes_from(read)\n g.add_nodes_from(write)\n for source, target in itertools.product(read, write):\n g.add_edge(source, target, type=EdgeType.LINEAGE)\n for table in {e[0] for e in nx.selfloop_edges(g)}:\n g.nodes[table][NodeTag.SELFLOOP] = True\n # find all the columns that we can't assign accurately to a parent table (with multiple parent candidates)\n unresolved_cols = [\n (s, t)\n for s, t in g.edges\n if isinstance(s, Column) and len(s.parent_candidates) > 1\n ]\n for unresolved_col, tgt_col in unresolved_cols:\n # check if there's only one parent candidate contains the column with same name\n src_cols = []\n for parent in unresolved_col.parent_candidates:\n src_col = Column(unresolved_col.raw_name)\n src_col.parent = parent\n if g.has_edge(parent, src_col):\n src_cols.append(src_col)\n if len(src_cols) == 1:\n g.add_edge(src_cols[0], tgt_col, type=EdgeType.LINEAGE)\n g.remove_edge(unresolved_col, tgt_col)\n # when unresolved column got resolved, it will be orphan node, and we can remove it\n for node in [n for n, deg in g.degree if deg == 0]:\n if isinstance(node, Column) and len(node.parent_candidates) > 1:\n g.remove_node(node)\n return SQLLineageHolder(g)",
"start_line": 151,
"end_line": 280,
"total_lines": 280,
"is_truncated": false
}Generated tokens 61 tokens · stopped: STOP
I need to see the rest of `SQLLineageHolder` in `sqllineage/core/holders.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 17at 222 s369 tokens out12,016 prompt tokens
I've identified a potential issue. Look at `__retrieve_tag_tables`:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
This method does NOT check if `table` is an instance of `DATASET_CLASSES`. It just returns any node that has the tag.
And look at `SQLLineageHolder.of`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
If there's a self-loop edge between two nodes, that node is tagged as `SELFLOOP`.
Wait, if the graph contains `Column` objects, can they have self-loops?
Let's look at the reproduction again:
`INSERT OVERWRITE TABLE foo SELECT col FROM foo`
In this case:
`foo` (Table) is a target.
`foo` (Table) is a source.
`col` (Column) is a source.
`col` (Column) is a target (as part of the SELECT).
The `LineageAnalyzer` probably adds an edge from `foo` (Table) to `col` (Column) and from `col` (Column) to `foo` (Table).
Wait, let's see how `LineageAnalyzer` adds edges.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/analyzer.py"
}Result of read_file 6,218 characters
{
"status": "ok",
"filepath": "sqllineage/core/analyzer.py",
"content": "from functools import reduce\nfrom operator import add\nfrom typing import List, NamedTuple, Optional, Set, Union\n\nfrom sqlparse.sql import (\n Comment,\n Function,\n Identifier,\n IdentifierList,\n Statement,\n TokenList,\n Where,\n)\n\nfrom sqllineage.core.handlers.base import (\n CurrentTokenBaseHandler,\n NextTokenBaseHandler,\n)\nfrom sqllineage.core.holders import StatementLineageHolder, SubQueryLineageHolder\nfrom sqllineage.core.models import SubQuery, Table\nfrom sqllineage.utils.sqlparse import get_subquery_parentheses, is_subquery\n\n\nclass AnalyzerContext(NamedTuple):\n subquery: Optional[SubQuery] = None\n prev_cte: Optional[Set[SubQuery]] = None\n\n\nclass LineageAnalyzer:\n \"\"\"SQL Statement Level Lineage Analyzer.\"\"\"\n\n def analyze(self, stmt: Statement) -> StatementLineageHolder:\n \"\"\"\n to analyze the Statement and store the result into :class:`sqllineage.holders.StatementLineageHolder`.\n\n :param stmt: a SQL statement parsed by `sqlparse`\n \"\"\"\n if (\n stmt.get_type() == \"DELETE\"\n or stmt.token_first(skip_cm=True).normalized == \"TRUNCATE\"\n or stmt.token_first(skip_cm=True).normalized.upper() == \"REFRESH\"\n or stmt.token_first(skip_cm=True).normalized == \"CACHE\"\n or stmt.token_first(skip_cm=True).normalized.upper() == \"UNCACHE\"\n or stmt.token_first(skip_cm=True).normalized == \"SHOW\"\n ):\n holder = StatementLineageHolder()\n elif stmt.get_type() == \"DROP\":\n holder = self._extract_from_ddl_drop(stmt)\n elif stmt.get_type() == \"ALTER\":\n holder = self._extract_from_ddl_alter(stmt)\n else:\n # DML parsing logic also applies to CREATE DDL\n holder = StatementLineageHolder.of(\n self._extract_from_dml(stmt, AnalyzerContext())\n )\n return holder\n\n @classmethod\n def _extract_from_ddl_drop(cls, stmt: Statement) -> StatementLineageHolder:\n holder = StatementLineageHolder()\n for table in {Table.of(t) for t in stmt.tokens if isinstance(t, Identifier)}:\n holder.add_drop(table)\n return holder\n\n @classmethod\n def _extract_from_ddl_alter(cls, stmt: Statement) -> StatementLineageHolder:\n holder = StatementLineageHolder()\n tables = [Table.of(t) for t in stmt.tokens if isinstance(t, Identifier)]\n keywords = [t for t in stmt.tokens if t.is_keyword]\n if any(k.normalized == \"RENAME\" for k in keywords) and len(tables) == 2:\n holder.add_rename(tables[0], tables[1])\n if any(k.normalized == \"EXCHANGE\" for k in keywords) and len(tables) == 2:\n holder.add_write(tables[0])\n holder.add_read(tables[1])\n return holder\n\n @classmethod\n def _extract_from_dml(\n cls, token: TokenList, context: AnalyzerContext\n ) -> SubQueryLineageHolder:\n holder = SubQueryLineageHolder()\n if context.prev_cte is not None:\n # CTE can be referenced by subsequent CTEs\n for cte in context.prev_cte:\n holder.add_cte(cte)\n if context.subquery is not None:\n # If within subquery, then manually add subquery as target table\n holder.add_write(context.subquery)\n current_handlers = [\n handler_cls() for handler_cls in CurrentTokenBaseHandler.__subclasses__()\n ]\n next_handlers = [\n handler_cls() for handler_cls in NextTokenBaseHandler.__subclasses__()\n ]\n\n subqueries = []\n for sub_token in token.tokens:\n if cls.__token_negligible_before_tablename(sub_token):\n continue\n\n for sq in cls.parse_subquery(sub_token):\n # Collecting subquery on the way, hold on parsing until last\n # so that each handler don't have to worry about what's inside subquery\n subqueries.append(sq)\n\n for current_handler in current_handlers:\n current_handler.handle(sub_token, holder)\n\n if sub_token.is_keyword:\n for next_handler in next_handlers:\n next_handler.indicate(sub_token)\n continue\n\n for next_handler in next_handlers:\n if next_handler.indicator:\n next_handler.handle(sub_token, holder)\n else:\n # call end of query hook here as loop is over\n for next_handler in next_handlers:\n next_handler.end_of_query_cleanup(holder)\n # By recursively extracting each subquery of the parent and merge, we're doing Depth-first search\n for sq in subqueries:\n holder |= cls._extract_from_dml(sq.token, AnalyzerContext(sq, holder.cte))\n return holder\n\n @classmethod\n def __token_negligible_before_tablename(cls, token: TokenList) -> bool:\n return token.is_whitespace or isinstance(token, Comment)\n\n @classmethod\n def parse_subquery(cls, token: TokenList) -> List[SubQuery]:\n result = []\n if isinstance(token, (Identifier, Function, Where)):\n # usually SubQuery is an Identifier, but not all Identifiers are SubQuery\n # Function for CTE without AS keyword\n result = cls._parse_subquery(token)\n elif isinstance(token, IdentifierList):\n # IdentifierList for SQL89 style of JOIN or multiple CTEs, this is actually SubQueries\n result = reduce(\n add,\n [\n cls._parse_subquery(identifier)\n for identifier in token.get_sublists()\n ],\n [],\n )\n elif is_subquery(token):\n # Parenthesis for SubQuery without alias, this is valid syntax for certain SQL dialect\n result = [SubQuery.of(token, None)]\n return result",
"start_line": 1,
"end_line": 150,
"total_lines": 162,
"is_truncated": true
}Generated tokens 369 tokens · stopped: STOP
I've identified a potential issue. Look at `__retrieve_tag_tables`:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
This method does NOT check if `table` is an instance of `DATASET_CLASSES`. It just returns any node that has the tag.
And look at `SQLLineageHolder.of`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
If there's a self-loop edge between two nodes, that node is tagged as `SELFLOOP`.
Wait, if the graph contains `Column` objects, can they have self-loops?
Let's look at the reproduction again:
`INSERT OVERWRITE TABLE foo SELECT col FROM foo`
In this case:
`foo` (Table) is a target.
`foo` (Table) is a source.
`col` (Column) is a source.
`col` (Column) is a target (as part of the SELECT).
The `LineageAnalyzer` probably adds an edge from `foo` (Table) to `col` (Column) and from `col` (Column) to `foo` (Table).
Wait, let's see how `LineageAnalyzer` adds edges.<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/analyzer.py<|"|>}<tool_call|><|tool_response>
Turn 18at 265 s603 tokens out14,067 prompt tokens
I need to see `CurrentTokenBaseHandler` and `NextTokenBaseHandler` to see how they add edges. But let's go back to the `SQLLineageHolder` logic.
In `SQLLineageHolder.of`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
Wait, `nx.selfloop_edges(g)` returns edges where the source and target are the same node.
If a node is a `Column` object and it has a self-loop (meaning it's both source and target of an edge), it will be tagged as `SELFLOOP`.
Then `__retrieve_tag_tables` retrieves ALL nodes with that tag, regardless of whether they are `Table` or `Column`.
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
And `source_tables` and `target_tables` properties use `_selfloop_tables`:
```python
@property
def source_tables(self) -> Set[Table]:
...
source_tables |= self._selfloop_tables
...
return source_tables
@property
def target_tables(self) -> Set[Table]:
...
target_tables |= self._selfloop_tables
...
return target_tables
```
So if a `Column` object is tagged as `SELFLOOP`, it will appear in both `source_tables` and `target_tables`.
Wait, why would a `Column` object have a self-loop? In `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, the graph might have edges between the table and the column.
Let's see what's in the graph for the reproduction case.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\nimport networkx as nx\nsql = \"\"\"\nINSERT OVERWRITE TABLE foo\nSELECT col FROM foo\nWHERE flag IS NOT NULL\n\"\"\"\nrunner = LineageRunner(sql)\nprint(\"Nodes:\")\nfor node in runner._sql_holder.graph.nodes:\n print(f\"{node} ({type(node)}) - {runner._sql_holder.graph.nodes[node]}\")\nprint(\"\\nEdges:\")\nfor edge in runner._sql_holder.graph.edges:\n print(f\"{edge}\")\nPY\n"
}Result of run_command 433 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<stdin>\", line 10, in <module>\nAttributeError: 'LineageRunner' object has no attribute '_sql_holder'\n",
"details": {
"stdout": "Nodes:\n",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 10, in <module>\nAttributeError: 'LineageRunner' object has no attribute '_sql_holder'\n",
"exit_code": 1
}
}Generated tokens 603 tokens · stopped: STOP
I need to see `CurrentTokenBaseHandler` and `NextTokenBaseHandler` to see how they add edges. But let's go back to the `SQLLineageHolder` logic.
In `SQLLineageHolder.of`:
```python
for table in {e[0] for e in nx.selfloop_edges(g)}:
g.nodes[table][NodeTag.SELFLOOP] = True
```
Wait, `nx.selfloop_edges(g)` returns edges where the source and target are the same node.
If a node is a `Column` object and it has a self-loop (meaning it's both source and target of an edge), it will be tagged as `SELFLOOP`.
Then `__retrieve_tag_tables` retrieves ALL nodes with that tag, regardless of whether they are `Table` or `Column`.
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
And `source_tables` and `target_tables` properties use `_selfloop_tables`:
```python
@property
def source_tables(self) -> Set[Table]:
...
source_tables |= self._selfloop_tables
...
return source_tables
@property
def target_tables(self) -> Set[Table]:
...
target_tables |= self._selfloop_tables
...
return target_tables
```
So if a `Column` object is tagged as `SELFLOOP`, it will appear in both `source_tables` and `target_tables`.
Wait, why would a `Column` object have a self-loop? In `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, the graph might have edges between the table and the column.
Let's see what's in the graph for the reproduction case.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from sqllineage.runner import LineageRunner
import networkx as nx
sql = """
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
"""
runner = LineageRunner(sql)
print("Nodes:")
for node in runner._sql_holder.graph.nodes:
print(f"{node} ({type(node)}) - {runner._sql_holder.graph.nodes[node]}")
print("\nEdges:")
for edge in runner._sql_holder.graph.edges:
print(f"{edge}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 19at 273 s211 tokens out14,819 prompt tokens
Ah, `_sql_holder` is a `lazy_property` (via `_eval`). I need to call `str(runner)` or access a property that triggers `_eval` before accessing `_sql_holder`.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\nimport networkx as nx\nsql = \"\"\"\nINSERT OVERWRITE TABLE foo\nSELECT col FROM foo\nWHERE flag IS NOT NULL\n\"\"\"\nrunner = LineageRunner(sql)\n_ = str(runner) # trigger _eval\nprint(\"Nodes:\")\nfor node in runner._sql_holder.graph.nodes:\n print(f\"{node} ({type(node)}) - {runner._sql_holder.graph.nodes[node]}\")\nprint(\"\\nEdges:\")\nfor edge in runner._sql_holder.graph.edges:\n print(f\"{edge}\")\nPY\n"
}Result of run_command 476 characters
{
"status": "ok",
"stdout": "Nodes:\n<default>.foo (<class 'sqllineage.core.models.Table'>) - {'write': True, 'read': True, 'selfloop': True}\nfoo (<class 'str'>) - {}\n<default>.foo.col (<class 'sqllineage.core.models.Column'>) - {'selfloop': True}\n\nEdges:\n(Table: <default>.foo, 'foo')\n(Table: <default>.foo, Column: <default>.foo.col)\n(Table: <default>.foo, Table: <default>.foo)\n(Column: <default>.foo.col, Column: <default>.foo.col)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 211 tokens · stopped: STOP
Ah, `_sql_holder` is a `lazy_property` (via `_eval`). I need to call `str(runner)` or access a property that triggers `_eval` before accessing `_sql_holder`.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from sqllineage.runner import LineageRunner
import networkx as nx
sql = """
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
"""
runner = LineageRunner(sql)
_ = str(runner) # trigger _eval
print("Nodes:")
for node in runner._sql_holder.graph.nodes:
print(f"{node} ({type(node)}) - {runner._sql_holder.graph.nodes[node]}")
print("\nEdges:")
for edge in runner._sql_holder.graph.edges:
print(f"{edge}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 20at 328 s247 tokens out5,535 prompt tokens
Aha!
`Column: <default>.foo.col` has a self-loop edge: `(Column: <default>.foo.col, Column: <default>.foo.col)`.
And it's tagged with `{'selfloop': True}`.
The `SQLLineageHolder`'s `__retrieve_tag_tables` method:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
does not filter by `DATASET_CLASSES`. It just returns any node with that tag.
Now let's see where `DATASET_CLASSES` is used in `SQLLineageHolder`.
Wait, I read `sqllineage/core/holders.py` before. Let me check it again.
TOOL CALL · read_file
{
"end_line": 180,
"filepath": "sqllineage/core/holders.py",
"start_line": 1
}Result of read_file 5,826 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"content": "import itertools\nfrom typing import Set, Tuple, Union\n\nimport networkx as nx\nfrom networkx import DiGraph\n\nfrom sqllineage.core.models import Column, Path, SubQuery, Table\nfrom sqllineage.utils.constant import EdgeType, NodeTag\n\nDATASET_CLASSES = (Path, Table)\n\n\nclass ColumnLineageMixin:\n def get_column_lineage(self, exclude_subquery=True) -> Set[Tuple[Column, ...]]:\n self.graph: DiGraph # For mypy attribute checking\n # filter all the column node in the graph\n column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]\n column_graph = self.graph.subgraph(column_nodes)\n source_columns = {column for column, deg in column_graph.in_degree if deg == 0}\n # if a column lineage path ends at SubQuery, then it should be pruned\n target_columns = {\n node\n for node, deg in column_graph.out_degree\n if isinstance(node, Column) and deg == 0\n }\n if exclude_subquery:\n target_columns = {\n node for node in target_columns if isinstance(node.parent, Table)\n }\n columns = set()\n for (source, target) in itertools.product(source_columns, target_columns):\n simple_paths = list(nx.all_simple_paths(self.graph, source, target))\n if len(simple_paths) == 1:\n columns.add(tuple(simple_paths[0]))\n # we can ignore when simple path doesn't exist, but could there be more than one simple path?\n return columns\n\n\nclass SubQueryLineageHolder(ColumnLineageMixin):\n \"\"\"\n SubQuery/Query Level Lineage Result.\n\n SubQueryLineageHolder will hold attributes like read, write, cte\n\n Each of them is a Set[:class:`sqllineage.models.Table`].\n\n This is the most atomic representation of lineage result.\n \"\"\"\n\n def __init__(self) -> None:\n self.graph = nx.DiGraph()\n\n def __or__(self, other):\n self.graph = nx.compose(self.graph, other.graph)\n return self\n\n def _property_getter(self, prop) -> Set[Union[SubQuery, Table]]:\n return {t for t, attr in self.graph.nodes(data=True) if attr.get(prop) is True}\n\n def _property_setter(self, value, prop) -> None:\n self.graph.add_node(value, **{prop: True})\n\n @property\n def read(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.READ)\n\n def add_read(self, value) -> None:\n self._property_setter(value, NodeTag.READ)\n # the same table can be added (in SQL: joined) multiple times with different alias\n if hasattr(value, \"alias\"):\n self.graph.add_edge(value, value.alias, type=EdgeType.HAS_ALIAS)\n\n @property\n def write(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.WRITE)\n\n def add_write(self, value) -> None:\n self._property_setter(value, NodeTag.WRITE)\n\n @property\n def cte(self) -> Set[SubQuery]:\n return self._property_getter(NodeTag.CTE) # type: ignore\n\n def add_cte(self, value) -> None:\n self._property_setter(value, NodeTag.CTE)\n\n def add_column_lineage(self, src: Column, tgt: Column) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)\n self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)\n if src.parent is not None:\n # starting NetworkX v2.6, None is not allowed as node, see https://github.com/networkx/networkx/pull/4892\n self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)\n\n\nclass StatementLineageHolder(SubQueryLineageHolder, ColumnLineageMixin):\n \"\"\"\n Statement Level Lineage Result.\n\n Based on SubQueryLineageHolder, StatementLineageHolder holds extra attributes like drop and rename\n\n For drop, it is a Set[:class:`sqllineage.models.Table`].\n\n For rename, it a Set[Tuple[:class:`sqllineage.models.Table`, :class:`sqllineage.models.Table`]], with the first\n table being original table before renaming and the latter after renaming.\n \"\"\"\n\n def __str__(self):\n return \"\\n\".join(\n f\"table {attr}: {sorted(getattr(self, attr), key=lambda x: str(x)) if getattr(self, attr) else '[]'}\"\n for attr in [\"read\", \"write\", \"cte\", \"drop\", \"rename\"]\n )\n\n def __repr__(self):\n return str(self)\n\n @property\n def read(self) -> Set[Table]: # type: ignore\n return {t for t in super().read if isinstance(t, DATASET_CLASSES)}\n\n @property\n def write(self) -> Set[Table]: # type: ignore\n return {t for t in super().write if isinstance(t, DATASET_CLASSES)}\n\n @property\n def drop(self) -> Set[Table]:\n return self._property_getter(NodeTag.DROP) # type: ignore\n\n def add_drop(self, value) -> None:\n self._property_setter(value, NodeTag.DROP)\n\n @property\n def rename(self) -> Set[Tuple[Table, Table]]:\n return {\n (src, tgt)\n for src, tgt, attr in self.graph.edges(data=True)\n if attr.get(\"type\") == EdgeType.RENAME\n }\n\n def add_rename(self, src: Table, tgt: Table) -> None:\n self.graph.add_edge(src, tgt, type=EdgeType.RENAME)\n\n @staticmethod\n def of(holder: SubQueryLineageHolder):\n stmt_holder = StatementLineageHolder()\n stmt_holder.graph = holder.graph\n return stmt_holder\n\n\nclass SQLLineageHolder(ColumnLineageMixin):\n def __init__(self, graph: DiGraph):",
"start_line": 1,
"end_line": 150,
"total_lines": 280,
"is_truncated": true,
"budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 247 tokens · stopped: STOP
Aha!
`Column: <default>.foo.col` has a self-loop edge: `(Column: <default>.foo.col, Column: <default>.foo.col)`.
And it's tagged with `{'selfloop': True}`.
The `SQLLineageHolder`'s `__retrieve_tag_tables` method:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
does not filter by `DATASET_CLASSES`. It just returns any node with that tag.
Now let's see where `DATASET_CLASSES` is used in `SQLLineageHolder`.
Wait, I read `sqllineage/core/holders.py` before. Let me check it again.<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,start_line:1,end_line:180}<tool_call|><|tool_response>
Turn 21at 333 s61 tokens out7,583 prompt tokens
I need to see the rest of `SQLLineageHolder` in `sqllineage/core/holders.py`.
TOOL CALL · read_file
{
"filepath": "sqllineage/core/holders.py",
"start_line": 151
}Result of read_file 5,983 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"content": " \"\"\"\n The combined lineage result in representation of Directed Acyclic Graph.\n\n :param graph: the Directed Acyclic Graph holding all the combined lineage result.\n \"\"\"\n self.graph = graph\n self._selfloop_tables = self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n self._sourceonly_tables = self.__retrieve_tag_tables(NodeTag.SOURCE_ONLY)\n self._targetonly_tables = self.__retrieve_tag_tables(NodeTag.TARGET_ONLY)\n\n @property\n def table_lineage_graph(self) -> DiGraph:\n \"\"\"\n The table level DiGraph held by SQLLineageHolder\n \"\"\"\n table_nodes = [n for n in self.graph.nodes if isinstance(n, DATASET_CLASSES)]\n return self.graph.subgraph(table_nodes)\n\n @property\n def column_lineage_graph(self) -> DiGraph:\n \"\"\"\n The column level DiGraph held by SQLLineageHolder\n \"\"\"\n column_nodes = [n for n in self.graph.nodes if isinstance(n, Column)]\n return self.graph.subgraph(column_nodes)\n\n @property\n def source_tables(self) -> Set[Table]:\n \"\"\"\n a list of source :class:`sqllineage.models.Table`\n \"\"\"\n source_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n source_tables |= self._selfloop_tables\n source_tables |= self._sourceonly_tables\n return source_tables\n\n @property\n def target_tables(self) -> Set[Table]:\n \"\"\"\n a list of target :class:`sqllineage.models.Table`\n \"\"\"\n target_tables = {\n table for table, deg in self.table_lineage_graph.out_degree if deg == 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.in_degree if deg > 0}\n )\n target_tables |= self._selfloop_tables\n target_tables |= self._targetonly_tables\n return target_tables\n\n @property\n def intermediate_tables(self) -> Set[Table]:\n \"\"\"\n a list of intermediate :class:`sqllineage.models.Table`\n \"\"\"\n intermediate_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg > 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n intermediate_tables -= self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n return intermediate_tables\n\n def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if attr.get(tag) is True\n }\n\n @staticmethod\n def of(*args: StatementLineageHolder):\n \"\"\"\n To assemble multiple :class:`sqllineage.holders.StatementLineageHolder` into\n :class:`sqllineage.holders.SQLLineageHolder`\n \"\"\"\n g = DiGraph()\n for holder in args:\n g = nx.compose(g, holder.graph)\n if holder.drop:\n for table in holder.drop:\n if g.has_node(table) and g.degree[table] == 0:\n g.remove_node(table)\n elif holder.rename:\n for (table_old, table_new) in holder.rename:\n g = nx.relabel_nodes(g, {table_old: table_new})\n g.remove_edge(table_new, table_new)\n if g.degree[table_new] == 0:\n g.remove_node(table_new)\n else:\n read, write = holder.read, holder.write\n if len(read) > 0 and len(write) == 0:\n # source only table comes from SELECT statement\n g.add_nodes_from(read, **{NodeTag.SOURCE_ONLY: True})\n elif len(read) == 0 and len(write) > 0:\n # target only table comes from case like: 1) INSERT/UPDATE constant values; 2) CREATE TABLE\n g.add_nodes_from(write, **{NodeTag.TARGET_ONLY: True})\n else:\n g.add_nodes_from(read)\n g.add_nodes_from(write)\n for source, target in itertools.product(read, write):\n g.add_edge(source, target, type=EdgeType.LINEAGE)\n for table in {e[0] for e in nx.selfloop_edges(g)}:\n g.nodes[table][NodeTag.SELFLOOP] = True\n # find all the columns that we can't assign accurately to a parent table (with multiple parent candidates)\n unresolved_cols = [\n (s, t)\n for s, t in g.edges\n if isinstance(s, Column) and len(s.parent_candidates) > 1\n ]\n for unresolved_col, tgt_col in unresolved_cols:\n # check if there's only one parent candidate contains the column with same name\n src_cols = []\n for parent in unresolved_col.parent_candidates:\n src_col = Column(unresolved_col.raw_name)\n src_col.parent = parent\n if g.has_edge(parent, src_col):\n src_cols.append(src_col)\n if len(src_cols) == 1:\n g.add_edge(src_cols[0], tgt_col, type=EdgeType.LINEAGE)\n g.remove_edge(unresolved_col, tgt_col)\n # when unresolved column got resolved, it will be orphan node, and we can remove it\n for node in [n for n, deg in g.degree if deg == 0]:\n if isinstance(node, Column) and len(node.parent_candidates) > 1:\n g.remove_node(node)\n return SQLLineageHolder(g)",
"start_line": 151,
"end_line": 280,
"total_lines": 280,
"is_truncated": false,
"budget_warning": "Only 9 tool call(s) remaining (21/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 61 tokens · stopped: STOP
I need to see the rest of `SQLLineageHolder` in `sqllineage/core/holders.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,start_line:151}<tool_call|><|tool_response>
Turn 22at 352 s400 tokens out9,371 prompt tokens
The problem is clearly in `__retrieve_tag_tables`. It should only return nodes that are instances of `DATASET_CLASSES`.
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
It should be:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if isinstance(table, DATASET_CLASSES) and attr.get(tag) is True
}
```
Let's verify if this fixes the reproduction script.
Wait, are there any other tags being used?
`NodeTag.SELFLOOP`, `NodeTag.SOURCE_ONLY`, `NodeTag.TARGET_ONLY`.
All of these are used to identify *tables*.
Let's apply the fix and run the reproduction.
TOOL CALL · edit_file
{
"filepath": "sqllineage/core/holders.py",
"new_string": " def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if isinstance(table, DATASET_CLASSES) and attr.get(tag) is True\n }",
"old_string": " def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if attr.get(tag) is True\n }"
}Result of edit_file 586 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"occurrences": 1,
"strategy": "exact",
"diff": "--- a/sqllineage/core/holders.py\n+++ b/sqllineage/core/holders.py\n@@ -219,7 +219,7 @@\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n- if attr.get(tag) is True\n+ if isinstance(table, DATASET_CLASSES) and attr.get(tag) is True\n }\n \n @staticmethod\n",
"is_truncated": false,
"budget_warning": "Only 8 tool call(s) remaining (22/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 400 tokens · stopped: STOP
The problem is clearly in `__retrieve_tag_tables`. It should only return nodes that are instances of `DATASET_CLASSES`.
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}
```
It should be:
```python
def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if isinstance(table, DATASET_CLASSES) and attr.get(tag) is True
}
```
Let's verify if this fixes the reproduction script.
Wait, are there any other tags being used?
`NodeTag.SELFLOOP`, `NodeTag.SOURCE_ONLY`, `NodeTag.TARGET_ONLY`.
All of these are used to identify *tables*.
Let's apply the fix and run the reproduction.
<channel|><|tool_call>call:edit_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,new_string:<|"|> def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if isinstance(table, DATASET_CLASSES) and attr.get(tag) is True
}<|"|>,old_string:<|"|> def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}<|"|>}<tool_call|><|tool_response>
Turn 23at 357 s133 tokens out9,984 prompt tokens
Now run the reproduction script again.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\nimport networkx as nx\nsql = \"\"\"\nINSERT OVERWRITE TABLE foo\nSELECT col FROM foo\nWHERE flag IS NOT NULL\n\"\"\"\nrunner = LineageRunner(sql)\n_ = str(runner) # trigger _eval\nprint(f\"Source Tables: {runner._sql_holder.source_tables}\")\nprint(f\"Target Tables: {runner._sql_holder.target_tables}\")\nPY\n"
}Result of run_command 251 characters
{
"status": "ok",
"stdout": "Source Tables: {Table: <default>.foo}\nTarget Tables: {Table: <default>.foo}\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 7 tool call(s) remaining (23/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 133 tokens · stopped: STOP
Now run the reproduction script again.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from sqllineage.runner import LineageRunner
import networkx as nx
sql = """
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
"""
runner = LineageRunner(sql)
_ = str(runner) # trigger _eval
print(f"Source Tables: {runner._sql_holder.source_tables}")
print(f"Target Tables: {runner._sql_holder.target_tables}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 24at 371 s278 tokens out10,214 prompt tokens
The output now correctly shows only the table, not the column!
Wait, what about `intermediate_tables`?
```python
@property
def intermediate_tables(self) -> Set[Table]:
\"\"\"\n a list of intermediate :class:`sqllineage.models.Table`\n \"\"\"\n intermediate_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg > 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n intermediate_tables -= self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n return intermediate_tables
```
`self.table_lineage_graph` already filters for `DATASET_CLASSES`.
And `self.__retrieve_tag_tables(NodeTag.SELFLOOP)` now also filters for `DATASET_CLASSES`.
So `intermediate_tables` should be fine too.
Let's check if any tests fail.
TOOL CALL · run_command
{
"command": "pytest sqllineage/core/holders.py -q --tb=short --no-header"
}Result of run_command 290 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "\nno tests ran in 0.07s\n",
"details": {
"stdout": "\nno tests ran in 0.07s\n",
"stderr": "",
"exit_code": 5
},
"budget_warning": "Only 6 tool call(s) remaining (24/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 278 tokens · stopped: STOP
The output now correctly shows only the table, not the column!
Wait, what about `intermediate_tables`?
```python
@property
def intermediate_tables(self) -> Set[Table]:
\"\"\"\n a list of intermediate :class:`sqllineage.models.Table`\n \"\"\"\n intermediate_tables = {\n table for table, deg in self.table_lineage_graph.in_degree if deg > 0\n }.intersection(\n {table for table, deg in self.table_lineage_graph.out_degree if deg > 0}\n )\n intermediate_tables -= self.__retrieve_tag_tables(NodeTag.SELFLOOP)\n return intermediate_tables
```
`self.table_lineage_graph` already filters for `DATASET_CLASSES`.
And `self.__retrieve_tag_tables(NodeTag.SELFLOOP)` now also filters for `DATASET_CLASSES`.
So `intermediate_tables` should be fine too.
Let's check if any tests fail.
<channel|><|tool_call>call:run_command{command:<|"|>pytest sqllineage/core/holders.py -q --tb=short --no-header<|"|>}<tool_call|><|tool_response>
Turn 25at 375 s44 tokens out10,610 prompt tokens
I should search for tests in `tests/`.
TOOL CALL · run_command
{
"command": "grep -rn \"SQLLineageHolder\" tests/ | head -n 20"
}Result of run_command 173 characters
{
"status": "ok",
"stdout": "",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 5 tool call(s) remaining (25/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 44 tokens · stopped: STOP
I should search for tests in `tests/`.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "SQLLineageHolder" tests/ | head -n 20<|"|>}<tool_call|><|tool_response>
Turn 26at 379 s72 tokens out10,727 prompt tokens
Maybe they are in `tests/unit/` or similar? Let me search for `LineageRunner` tests since that's what's usually used for high-level lineage tests.
TOOL CALL · run_command
{
"command": "grep -rn \"LineageRunner\" tests/ | head -n 20"
}Result of run_command 1,474 characters
{
"status": "ok",
"stdout": "tests/test_others.py:1:from sqllineage.runner import LineageRunner\ntests/test_others.py:207: assert len(LineageRunner(sql).statements()) == 2\ntests/test_others.py:212: assert len(LineageRunner(sql).statements()) == 2\ntests/test_others.py:219: assert len(LineageRunner(sql).statements()) == 1\ntests/test_others.py:225: assert LineageRunner(comment + sql).statements(strip_comments=True)[0] == sql\ntests/test_others.py:232: assert len(LineageRunner(sql).statements()) == 2\ntests/test_others.py:239: assert len(LineageRunner(sql).statements()) == 2\ntests/test_columns.py:3:from sqllineage.runner import LineageRunner\ntests/test_columns.py:579: LineageRunner(sql).print_column_lineage()\ntests/test_runner.py:1:from sqllineage.runner import LineageRunner\ntests/test_runner.py:6: runner = LineageRunner(\ntests/helpers.py:2:from sqllineage.runner import LineageRunner\ntests/helpers.py:6: lr = LineageRunner(sql)\ntests/helpers.py:33: lr = LineageRunner(sql)\ntests/test_exception.py:4:from sqllineage.runner import LineageRunner\ntests/test_exception.py:9: LineageRunner(\"select * from where foo='bar'\")._eval()\ntests/test_exception.py:14: LineageRunner(\"insert into select * from foo\")._eval()\ntests/test_exception.py:19: LineageRunner(\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 4 tool call(s) remaining (26/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 72 tokens · stopped: STOP
Maybe they are in `tests/unit/` or similar? Let me search for `LineageRunner` tests since that's what's usually used for high-level lineage tests.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "LineageRunner" tests/ | head -n 20<|"|>}<tool_call|><|tool_response>
Turn 27at 384 s64 tokens out11,323 prompt tokens
Let's run `tests/test_runner.py` and `tests/test_columns.py`.
TOOL CALL · run_command
{
"command": "pytest tests/test_runner.py tests/test_columns.py -q --tb=short --no-header"
}Result of run_command 6,710 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": ".....FF...................F........ [100%]\n=================================== FAILURES ===================================\n___________________ test_select_column_using_window_function ___________________\ntests/test_columns.py:129: in test_select_column_using_window_function\n assert_column_lineage_equal(\ntests/helpers.py:36: in assert_column_lineage_equal\n set(actual) == expected\nE AssertionError: \nE \tExpected Lineage: {(Column: <default>.tab2.col1, Column: <default>.tab1.rnum), (Column: <default>.tab2.col2, Column: <default>.tab1.rnum)}\nE \tActual Lineage: {(Column: <default>.tab2. , Column: <default>.tab1.rnum), (Column: <default>.tab2.col1, Column: <default>.tab1.rnum), (Column: <default>.tab2.by, Column: <default>.tab1.rnum), (Column: <default>.tab2.partition, Column: <default>.tab1.rnum), (Column: <default>.tab2.col2, Column: <default>.tab1.rnum), (Column: <default>.tab2.order by, Column: <default>.tab1.rnum)}\n___________ test_select_column_using_window_function_with_parameters ___________\ntests/test_columns.py:150: in test_select_column_using_window_function_with_parameters\n assert_column_lineage_equal(\ntests/helpers.py:36: in assert_column_lineage_equal\n set(actual) == expected\nE AssertionError: \nE \tExpected Lineage: {(Column: <default>.tab2.col1, Column: <default>.tab1.rnum), (Column: <default>.tab2.col0, Column: <default>.tab1.col0), (Column: <default>.tab2.col4, Column: <default>.tab1.col4), (Column: <default>.tab2.col3, Column: <default>.tab1.rnum), (Column: <default>.tab2.col2, Column: <default>.tab1.rnum)}\nE \tActual Lineage: {(Column: <default>.tab2. , Column: <default>.tab1.rnum), (Column: <default>.tab2.col1, Column: <default>.tab1.rnum), (Column: <default>.tab2.col0, Column: <default>.tab1.col0), (Column: <default>.tab2.by, Column: <default>.tab1.rnum), (Column: <default>.tab2.col4, Column: <default>.tab1.col4), (Column: <default>.tab2.partition, Column: <default>.tab1.rnum), (Column: <default>.tab2.col2, Column: <default>.tab1.rnum), (Column: <default>.tab2.order by, Column: <default>.tab1.rnum)}\n_______________________ test_window_function_in_subquery _______________________\ntests/test_columns.py:563: in test_window_function_in_subquery\n assert_column_lineage_equal(\ntests/helpers.py:36: in assert_column_lineage_equal\n set(actual) == expected\nE AssertionError: \nE \tExpected Lineage: {(Column: <default>.tab2.col1, Column: <default>.tab1.rn), (Column: <default>.tab2.col2, Column: <default>.tab1.rn)}\nE \tActual Lineage: {(Column: <default>.tab2. , Column: <default>.tab1.rn), (Column: <default>.tab2.partition, Column: <default>.tab1.rn), (Column: <default>.tab2.col1, Column: <default>.tab1.rn), (Column: <default>.tab2.col2, Column: <default>.tab1.rn), (Column: <default>.tab2.by, Column: <default>.tab1.rn)}\n=========================== short test summary info ============================\nFAILED tests/test_columns.py::test_select_column_using_window_function - Asse...\nFAILED tests/test_columns.py::test_select_column_using_window_function_with_parameters\nFAILED tests/test_columns.py::test_window_function_in_subquery - AssertionErr...\n3 failed, 32 passed in 0.28s\n",
"details": {
"stdout": ".....FF...................F........ [100%]\n=================================== FAILURES ===================================\n___________________ test_select_column_using_window_function ___________________\ntests/test_columns.py:129: in test_select_column_using_window_function\n assert_column_lineage_equal(\ntests/helpers.py:36: in assert_column_lineage_equal\n set(actual) == expected\nE AssertionError: \nE \tExpected Lineage: {(Column: <default>.tab2.col1, Column: <default>.tab1.rnum), (Column: <default>.tab2.col2, Column: <default>.tab1.rnum)}\nE \tActual Lineage: {(Column: <default>.tab2. , Column: <default>.tab1.rnum), (Column: <default>.tab2.col1, Column: <default>.tab1.rnum), (Column: <default>.tab2.by, Column: <default>.tab1.rnum), (Column: <default>.tab2.partition, Column: <default>.tab1.rnum), (Column: <default>.tab2.col2, Column: <default>.tab1.rnum), (Column: <default>.tab2.order by, Column: <default>.tab1.rnum)}\n___________ test_select_column_using_window_function_with_parameters ___________\ntests/test_columns.py:150: in test_select_column_using_window_function_with_parameters\n assert_column_lineage_equal(\ntests/helpers.py:36: in assert_column_lineage_equal\n set(actual) == expected\nE AssertionError: \nE \tExpected Lineage: {(Column: <default>.tab2.col1, Column: <default>.tab1.rnum), (Column: <default>.tab2.col0, Column: <default>.tab1.col0), (Column: <default>.tab2.col4, Column: <default>.tab1.col4), (Column: <default>.tab2.col3, Column: <default>.tab1.rnum), (Column: <default>.tab2.col2, Column: <default>.tab1.rnum)}\nE \tActual Lineage: {(Column: <default>.tab2. , Column: <default>.tab1.rnum), (Column: <default>.tab2.col1, Column: <default>.tab1.rnum), (Column: <default>.tab2.col0, Column: <default>.tab1.col0), (Column: <default>.tab2.by, Column: <default>.tab1.rnum), (Column: <default>.tab2.col4, Column: <default>.tab1.col4), (Column: <default>.tab2.partition, Column: <default>.tab1.rnum), (Column: <default>.tab2.col2, Column: <default>.tab1.rnum), (Column: <default>.tab2.order by, Column: <default>.tab1.rnum)}\n_______________________ test_window_function_in_subquery _______________________\ntests/test_columns.py:563: in test_window_function_in_subquery\n assert_column_lineage_equal(\ntests/helpers.py:36: in assert_column_lineage_equal\n set(actual) == expected\nE AssertionError: \nE \tExpected Lineage: {(Column: <default>.tab2.col1, Column: <default>.tab1.rn), (Column: <default>.tab2.col2, Column: <default>.tab1.rn)}\nE \tActual Lineage: {(Column: <default>.tab2. , Column: <default>.tab1.rn), (Column: <default>.tab2.partition, Column: <default>.tab1.rn), (Column: <default>.tab2.col1, Column: <default>.tab1.rn), (Column: <default>.tab2.col2, Column: <default>.tab1.rn), (Column: <default>.tab2.by, Column: <default>.tab1.rn)}\n=========================== short test summary info ============================\nFAILED tests/test_columns.py::test_select_column_using_window_function - Asse...\nFAILED tests/test_columns.py::test_select_column_using_window_function_with_parameters\nFAILED tests/test_columns.py::test_window_function_in_subquery - AssertionErr...\n3 failed, 32 passed in 0.28s\n",
"stderr": "",
"exit_code": 1
},
"budget_warning": "Only 3 tool call(s) remaining (27/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 64 tokens · stopped: STOP
Let's run `tests/test_runner.py` and `tests/test_columns.py`.
<channel|><|tool_call>call:run_command{command:<|"|>pytest tests/test_runner.py tests/test_columns.py -q --tb=short --no-header<|"|>}<tool_call|><|tool_response>
Turn 28at 395 s122 tokens out13,645 prompt tokens
These failures in `tests/test_columns.py` seem unrelated to my change in `SQLLineageHolder.__retrieve_tag_tables`. They are `AssertionError`s in `assert_column_lineage_equal`, and they were likely already failing. Let's check if they were already failing before my change.
TOOL CALL · run_command
{
"command": "git checkout sqllineage/core/holders.py && pytest tests/test_columns.py -q --tb=short --no-header | grep \"FAILED\""
}Result of run_command 456 characters
{
"status": "ok",
"stdout": "FAILED tests/test_columns.py::test_select_column_using_window_function - Asse...\nFAILED tests/test_columns.py::test_select_column_using_window_function_with_parameters\nFAILED tests/test_columns.py::test_window_function_in_subquery - AssertionErr...\n",
"stderr": "Updated 1 path from the index\n",
"exit_code": 0,
"budget_warning": "Only 2 tool call(s) remaining (28/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 122 tokens · stopped: STOP
These failures in `tests/test_columns.py` seem unrelated to my change in `SQLLineageHolder.__retrieve_tag_tables`. They are `AssertionError`s in `assert_column_lineage_equal`, and they were likely already failing.
Let's check if they were already failing before my change.
<channel|><|tool_call>call:run_command{command:<|"|>git checkout sqllineage/core/holders.py && pytest tests/test_columns.py -q --tb=short --no-header | grep "FAILED"<|"|>}<tool_call|><|tool_response>
Turn 29at 402 s80 tokens out13,925 prompt tokens
Yes, they were already failing. My change did not introduce them. Now I will re-apply my change and check the status.
TOOL CALL · run_command
{
"command": "git checkout sqllineage/core/holders.py && pytest tests/test_columns.py -q --tb=short --no-header | grep \"FAILED\""
}Result of run_command 457 characters
{
"status": "ok",
"stdout": "FAILED tests/test_columns.py::test_select_column_using_window_function - Asse...\nFAILED tests/test_columns.py::test_select_column_using_window_function_with_parameters\nFAILED tests/test_columns.py::test_window_function_in_subquery - AssertionErr...\n",
"stderr": "Updated 0 paths from the index\n",
"exit_code": 0,
"budget_warning": "Only 1 tool call(s) remaining (29/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 80 tokens · stopped: STOP
Yes, they were already failing. My change did not introduce them.
Now I will re-apply my change and check the status.
<channel|><|tool_call>call:run_command{command:<|"|>git checkout sqllineage/core/holders.py && pytest tests/test_columns.py -q --tb=short --no-header | grep "FAILED"<|"|>}<tool_call|><|tool_response>
Turn 30at 420 s274 tokens out14,163 prompt tokens
Wait, I checked out the file and then ran pytest. I didn't re-apply my change. I should re-apply my change and then verify. Actually, I can just use `git checkout` back to what I had if I had committed, but I didn't. Wait, I used `edit_file`. I should just run the reproduction script again to be sure, and then `git status --short && git diff`. Wait, I need to re-apply the change because `git checkout` reverted it.
TOOL CALL · edit_file
{
"filepath": "sqllineage/core/holders.py",
"new_string": " def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if isinstance(table, DATASET_CLASSES) and attr.get(tag) is True\n }",
"old_string": " def __retrieve_tag_tables(self, tag) -> Set[Table]:\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n if attr.get(tag) is True\n }"
}Result of edit_file 586 characters
{
"status": "ok",
"filepath": "sqllineage/core/holders.py",
"occurrences": 1,
"strategy": "exact",
"diff": "--- a/sqllineage/core/holders.py\n+++ b/sqllineage/core/holders.py\n@@ -219,7 +219,7 @@\n return {\n table\n for table, attr in self.graph.nodes(data=True)\n- if attr.get(tag) is True\n+ if isinstance(table, DATASET_CLASSES) and attr.get(tag) is True\n }\n \n @staticmethod\n",
"is_truncated": false,
"budget_warning": "Only 0 tool call(s) remaining (30/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 274 tokens · stopped: STOP
Wait, I checked out the file and then ran pytest. I didn't re-apply my change. I should re-apply my change and then verify.
Actually, I can just use `git checkout` back to what I had if I had committed, but I didn't.
Wait, I used `edit_file`. I should just run the reproduction script again to be sure, and then `git status --short && git diff`.
Wait, I need to re-apply the change because `git checkout` reverted it.
<channel|><|tool_call>call:edit_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,new_string:<|"|> def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if isinstance(table, DATASET_CLASSES) and attr.get(tag) is True
}<|"|>,old_string:<|"|> def __retrieve_tag_tables(self, tag) -> Set[Table]:
return {
table
for table, attr in self.graph.nodes(data=True)
if attr.get(tag) is True
}<|"|>}<tool_call|><|tool_response>
Turn 31at 425 s56 tokens out14,650 prompt tokens
I've used up my tool calls. I'll do one last check of the diff and then submit.
TOOL CALL · run_command
{
"command": "git status --short && git diff sqllineage/core/holders.py"
}Result of run_command 109 characters
{
"status": "error",
"error_type": "BudgetExceeded",
"error_message": "Tool call budget exhausted (30 calls)"
}Generated tokens 56 tokens · stopped: STOP
I've used up my tool calls. I'll do one last check of the diff and then submit.
<channel|><|tool_call>call:run_command{command:<|"|>git status --short && git diff sqllineage/core/holders.py<|"|>}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
diff --git a/sqllineage/core/holders.py b/sqllineage/core/holders.py
index d9ce561..ebbb442 100644
--- a/sqllineage/core/holders.py
+++ b/sqllineage/core/holders.py
@@ -219,7 +219,7 @@ class SQLLineageHolder(ColumnLineageMixin):
return {
table
for table, attr in self.graph.nodes(data=True)
- if attr.get(tag) is True
+ if isinstance(table, DATASET_CLASSES) and attr.get(tag) is True
}
@staticmethod
Test output Included
============================= test session starts ============================== collected 11 items tests/test_insert.py ........... [100%] ==================================== PASSES ==================================== - generated xml file: /tmp/rebench-grade-6a1c7f00e17c48ef859e7fabdd6b2cf6.xml -- =========================== short test summary info ============================ PASSED tests/test_insert.py::test_insert_into PASSED tests/test_insert.py::test_insert_into_with_keyword_table PASSED tests/test_insert.py::test_insert_into_with_columns PASSED tests/test_insert.py::test_insert_into_with_columns_and_select PASSED tests/test_insert.py::test_insert_into_with_columns_and_select_union PASSED tests/test_insert.py::test_insert_into_partitions PASSED tests/test_insert.py::test_insert_overwrite PASSED tests/test_insert.py::test_insert_overwrite_with_keyword_table PASSED tests/test_insert.py::test_insert_overwrite_values PASSED tests/test_insert.py::test_insert_overwrite_from_self PASSED tests/test_insert.py::test_insert_overwrite_from_self_with_join ============================== 11 passed in 0.49s ==============================
Test errors Included
Test report (JUnit) Included
<?xml version="1.0" encoding="utf-8"?><testsuites name="pytest tests"><testsuite name="pytest" errors="0" failures="0" skipped="0" tests="11" time="0.494" timestamp="2026-11-14T04:04:08.034560+00:00" hostname="fd1aa4db2620"><testcase classname="tests.test_insert" name="test_insert_into" time="0.005" /><testcase classname="tests.test_insert" name="test_insert_into_with_keyword_table" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_into_with_columns" time="0.002" /><testcase classname="tests.test_insert" name="test_insert_into_with_columns_and_select" time="0.002" /><testcase classname="tests.test_insert" name="test_insert_into_with_columns_and_select_union" time="0.002" /><testcase classname="tests.test_insert" name="test_insert_into_partitions" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite_with_keyword_table" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite_values" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite_from_self" time="0.001" /><testcase classname="tests.test_insert" name="test_insert_overwrite_from_self_with_join" time="0.002" /></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 reata/sqllineage.
[ 19.1s] 💭 (937 chars) "The user is reporting an issue where table and column lineage are mixed up for
self-dependent SQL (SQL where the target ..."
[ 19.1s] 🔧 run_command grep -rn --include="*.py" "Source Tables" .
[ 19.2s] → ./sqllineage/runner.py:63:Source Tables:
[ 24.0s] 💭 (121 chars) "Okay, `sqllineage/runner.py` seems to be where the output is printed. Let's see how it gets
the source and target tables..."
[ 24.0s] 📖 read_file (sqllineage/runner.py)
[ 24.1s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': ' self._draw_options =
draw_options if draw_optio…
[ 29.6s] 💭 (181 chars) "`self.source_tables` and `self.target_tables` are used. I need to find where these are
defined. `runner.py` seems to be ..."
[ 29.6s] 📖 read_file (sqllineage/runner.py)
[ 29.6s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': 'import logging\nfrom typing import
Dict, List, Tuple\n\…
[ 33.0s] 💭 (78 chars) "I need to see the `_eval` method in `LineageRunner` in `sqllineage/runner.py`."
[ 33.0s] 📖 read_file (sqllineage/runner.py)
[ 33.0s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': ' self._evaluated = False\n
self._stmt: Li…
[ 35.3s] 💭 (68 chars) "I missed reading the `_eval` method. It's probably after `__init__`."
[ 35.3s] 📖 read_file (sqllineage/runner.py)
[ 35.3s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': ' self._evaluated = False\n
self._stmt: Li…
[ 39.0s] 💭 (120 chars) "Wait, I am reading the same lines over and over. Let me read `sqllineage/runner.py` from the
beginning and find `_eval`."
[ 39.0s] 📖 read_file (sqllineage/runner.py)
[ 39.0s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': 'import logging\nfrom typing import
Dict, List, Tuple\n\…
[ 43.3s] 💭 (93 chars) "I'm still not seeing `_eval`. Let me read from line 101 to the end of
`sqllineage/runner.py`."
[ 43.3s] 📖 read_file (sqllineage/runner.py)
[ 43.3s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': ' draw_options =
self._draw_options\n if d…
[ 66.1s] 💭 (1441 chars) "Okay, `_eval` is at the end.
```python
def _eval(self):
self._stmt = [
s
for s in s..."
[ 66.1s] 📖 read_file (sqllineage/core/holders.py)
[ 66.1s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': 'import itertools\nfrom typing
import Set, Tuple, …
[ 71.6s] 💭 (77 chars) "`SQLLineageHolder` starts at the end of the file. Let me read the rest of it."
[ 71.6s] 📖 read_file (sqllineage/core/holders.py)
[ 71.6s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': ' """\n The combined
lineage result …
[ 104.3s] 💭 (2008 chars) "In `SQLLineageHolder`, `source_tables` and `target_tables` are calculated as follows:
```python
@property
def s..."
[ 104.3s] 📖 read_file (sqllineage/core/models.py)
[ 104.3s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/models.py', 'content': 'import warnings\nfrom typing
import Dict, List, Op…
[ 108.6s] 💭 (64 chars) "I need to see the `Column` class in `sqllineage/core/models.py`."
[ 108.6s] 📖 read_file (sqllineage/core/models.py)
[ 108.6s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/models.py', 'content': '\n def __eq__(self, other):\n
return typ…
[ 131.8s] 💭 (509 chars) "Wait, if `Column` objects are in the graph and `DATASET_CLASSES` check is used to identify
tables, only `Table` and `Pat..."
[ 131.8s] 🔧 run_command (10 lines) python3 - <<'PY'
[ 132.5s] → Statements(#): 1
[ 182.5s] 💭 (263 chars) "Aha! Reproduced.
`Source Tables: <default>.foo, <default>.foo.col`
`Target Tables: <default>.foo, <default>.foo.col`
Th..."
[ 182.5s] 📖 read_file (sqllineage/runner.py)
[ 182.6s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': 'import logging\nfrom typing import
Dict, List, Tuple\n\…
[ 191.9s] 💭 (233 chars) "`LineageRunner` use `_sql_holder.source_tables` and `_sql_holder.target_tables`.
`_sql_holder` is likely an instance of ..."
[ 191.9s] 📖 read_file (sqllineage/runner.py)
[ 191.9s] ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': '
self._sql_holder.get_column_lineage(exclude…
[ 196.0s] 💭 (155 chars) "Ok, `self._sql_holder = SQLLineageHolder.of(*self._stmt_holders)`.
Let's look at `SQLLineageHolder.of` and its `__init_..."
[ 196.0s] 📖 read_file (sqllineage/core/holders.py)
[ 196.0s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': 'import itertools\nfrom typing
import Set, Tuple, …
[ 199.1s] 💭 (77 chars) "I need to see the rest of `SQLLineageHolder` in `sqllineage/core/holders.py`."
[ 199.1s] 📖 read_file (sqllineage/core/holders.py)
[ 199.1s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': ' """\n The combined
lineage result …
[ 220.8s] 💭 (1128 chars) "I've identified a potential issue. Look at `__retrieve_tag_tables`:
```python
def __retrieve_tag_tables(self, tag) ..."
[ 220.8s] 📖 read_file (sqllineage/core/analyzer.py)
[ 220.9s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/analyzer.py', 'content': 'from functools import
reduce\nfrom operator impo…
[ 264.5s] 💭 (1593 chars) "I need to see `CurrentTokenBaseHandler` and `NextTokenBaseHandler` to see how they add
edges. But let's go back to the `..."
[ 264.5s] 🔧 run_command (16 lines) python3 - <<'PY'
[ 264.7s] → error (exit 0):
[ 272.3s] 💭 (157 chars) "Ah, `_sql_holder` is a `lazy_property` (via `_eval`). I need to call `str(runner)` or access
a property that triggers `_..."
[ 272.3s] 🔧 run_command (17 lines) python3 - <<'PY'
[ 272.5s] → Nodes:
[ 327.5s] 💭 (646 chars) "Aha!
`Column: <default>.foo.col` has a self-loop edge: `(Column: <default>.foo.col, Column: <default>.foo.col)`.
And it'..."
[ 327.5s] 📖 read_file (sqllineage/core/holders.py)
[ 327.6s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': 'import itertools\nfrom typing
import Set, Tuple, …
[ 332.2s] 💭 (77 chars) "I need to see the rest of `SQLLineageHolder` in `sqllineage/core/holders.py`."
[ 332.2s] 📖 read_file (sqllineage/core/holders.py)
[ 332.2s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': ' """\n The combined
lineage result …
[ 350.8s] 💭 (851 chars) "The problem is clearly in `__retrieve_tag_tables`. It should only return nodes that are
instances of `DATASET_CLASSES`.
..."
[ 350.8s] ✏️ edit_file (sqllineage/core/holders.py)
[ 351.0s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'occurrences': 1, 'strategy': 'exact',
'diff': '--- a/sqlline…
[ 356.5s] 💭 (38 chars) "Now run the reproduction script again."
[ 356.5s] 🔧 run_command (13 lines) python3 - <<'PY'
[ 356.7s] → Source Tables: {Table: <default>.foo}
[ 370.7s] 💭 (863 chars) "The output now correctly shows only the table, not the column!
Wait, what about `intermediate_tables`?
```python
@..."
[ 370.7s] 🔧 run_command pytest sqllineage/core/holders.py -q --tb=short --no-header
[ 371.1s] → error (exit 0):
[ 373.8s] 💭 (38 chars) "I should search for tests in `tests/`."
[ 373.8s] 🔧 run_command grep -rn "SQLLineageHolder" tests/ | head -n 20
[ 373.8s] 🔧
[ 378.6s] 💭 (146 chars) "Maybe they are in `tests/unit/` or similar? Let me search for `LineageRunner` tests since
that's what's usually used for..."
[ 378.6s] 🔧 run_command grep -rn "LineageRunner" tests/ | head -n 20
[ 378.7s] → tests/test_others.py:1:from sqllineage.runner import LineageRunner
[ 383.6s] 💭 (61 chars) "Let's run `tests/test_runner.py` and `tests/test_columns.py`."
[ 383.6s] 🔧 run_command pytest tests/test_runner.py tests/test_columns.py -q --tb=short --no-header
[ 384.0s] → error (exit 0):
[ 394.2s] 💭 (273 chars) "These failures in `tests/test_columns.py` seem unrelated to my change in
`SQLLineageHolder.__retrieve_tag_tables`. They ..."
[ 394.2s] 🔧 run_command git checkout sqllineage/core/holders.py && pytest tests/test_columns.py -q --tb=
[ 394.7s] → FAILED tests/test_columns.py::test_select_column_using_window_function - Asse...
[ 401.3s] 💭 (118 chars) "Yes, they were already failing. My change did not introduce them.
Now I will re-apply my change and check the status."
[ 401.3s] 🔧 run_command git checkout sqllineage/core/holders.py && pytest tests/test_columns.py -q --tb=
[ 401.8s] → FAILED tests/test_columns.py::test_select_column_using_window_function - Asse...
[ 419.3s] 💭 (420 chars) "Wait, I checked out the file and then ran pytest. I didn't re-apply my change. I should
re-apply my change and then veri..."
[ 419.3s] ✏️ edit_file (sqllineage/core/holders.py)
[ 419.5s] ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'occurrences': 1, 'strategy': 'exact',
'diff': '--- a/sqlline…
[ 424.1s] 💭 (79 chars) "I've used up my tool calls. I'll do one last check of the diff and then submit."
[ 424.1s] 🔧 run_command git status --short && git diff sqllineage/core/holders.py
[ 424.1s] → error (exit 0):
Native result row
{
"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 454.73,
"error": "Agent exceeded session timeout (7.5 min)",
"grade": {
"collected_tests": 11,
"competition_junit_ok": true,
"error": null,
"required_issues_count": 0,
"resolved": true,
"status_counts": {
"PASSED": 11
},
"strict_clean_patch": true,
"test_exit_code": 0
},
"instance_id": "reata__sqllineage-224",
"pass_idx": 0,
"patch_chars": 473,
"phase1_seconds": 453.11,
"repo": "reata/sqllineage",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/reata__sqllineage-224__p0__r2.jsonl",
"resolved": true,
"rollout_idx": 2,
"run_key": "reata__sqllineage-224__p0__r2",
"strict_clean_patch": true,
"tool_calls": 30,
"total_llm_calls": 31,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_reata__sqllineage-224__p0__r2.json"
}