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ROLLOUT 0 · reata/sqllineage

reata__sqllineage-224

Not solved
459 stotal time
25tool calls
26model calls
5,794tokens generated
240,612prompt tokens read

Empty agent patch

⚠ The request log has 26 model calls but the trace has 27 agent calls, so tokens are listed separately instead of beside each turn.

Turn by turn

Token shading: p ≥ 0.9 0.5 – 0.9 0.2 – 0.5 below 0.2. Hover a token for its id and probability.

System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`.
Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run.

## Critical Environment & Grader Rules
1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`.
2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files.
3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`.
4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks:
   `pytest path/to/test_file.py -k pattern -q --tb=short --no-header`
   If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off.
5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission.

## Execution Protocol

### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls)
- The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories.
- Run a single compound `run_command` with `grep -rn --include="*.py"` to locate:
  (a) the exact symbols, error strings, or functions from the problem description,
  (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and
  (c) the closest existing unit test files under `tests/`.

### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls)
- Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests.
- Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types.

### Phase 3 — Reproduce Bug in One Call (1 tool call)
- Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts.

### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls)
- Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`.
- Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests.
- **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`.

### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls)
- Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`.
- Run `git status --short && git diff` via `run_command`. Confirm:
  - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately),
  - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched),
  - Minimal, clean diff with valid imports and indentation.
- Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 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 32 s358 tokens out2,981 prompt tokens
The user is reporting an issue where table/column lineage is mixed up for self-dependent SQL.
Specifically, for the SQL:
```sql
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
```
The output shows:
```
Statements(#): 1
Source Tables:
    <default>.foo
    <default>.foo.col
Target Tables:
    <default>.foo
    <default>.foo.col
```
It seems that `foo.col` is being listed as a source and target table, but it should be a column.
The problem statement says "Column lineage is displayed by mistake here", which probably means that the column lineage is being reported as part of the table lineage or that it's incorrectly associating the column as a table.

Wait, looking at the output:
Source Tables:
  <default>.foo
  <default>.foo.col

Target Tables:
  <default>.foo
  <default>.foo.col

Usually, Source Tables should just be tables. `<default>.foo.col` looks like a column reference.

I need to investigate how `sqllineage` parses and analyzes these statements.
The core logic seems to be in `sqllineage/core/analyzer.py`.

Let's start by reproducing this.
TOOL CALL · run_command
{
  "command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\n\nsql = \"INSERT OVERWRITE TABLE foo SELECT col FROM foo WHERE flag IS NOT NULL\"\nrunner = LineageRunner(sql)\nprint(runner.explain())\nPY\n"
}
Result of run_command 415 characters
{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "Traceback (most recent call last):\n  File \"<stdin>\", line 5, in <module>\nAttributeError: 'LineageRunner' object has no attribute 'explain'\n",
  "details": {
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"<stdin>\", line 5, in <module>\nAttributeError: 'LineageRunner' object has no attribute 'explain'\n",
    "exit_code": 1
  }
}
Turn 2at 38 s74 tokens out3,479 prompt tokens
Ah, I used `explain()` which might not be the correct method for `LineageRunner`.
Let's check `sqllineage/runner.py` to see how to use it, or check how the CLI uses it.
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
}
Turn 3at 43 s106 tokens out5,087 prompt tokens
The `__str__` method of `LineageRunner` produces the summary that the user reported.
So I should just print the `LineageRunner` instance.
TOOL CALL · run_command
{
  "command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\n\nsql = \"INSERT OVERWRITE TABLE foo SELECT col FROM foo WHERE flag IS NOT NULL\"\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
}
Turn 4at 56 s151 tokens out5,280 prompt tokens
Reproduced! The output shows `<default>.foo.col` as both a source table and a target table, which is wrong. It should be a column, not a table.

Now let's see how `LineageRunner` works. It uses `_sql_holder` and `_eval`.
Wait, I don't see `_eval` defined in `LineageRunner` in the `read_file` output above (it ends at line 150).
Let me read the rest of `sqllineage/runner.py`.
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
}
Turn 5at 61 s117 tokens out5,827 prompt tokens
Okay, so `_eval` calls `LineageAnalyzer().analyze(stmt)` for each statement, and then created a `SQLLineageHolder.of(*self._stmt_holders)`.

Let's look at `sqllineage/core/analyzer.py` and `sqllineage/core/holders.py`.

First, let's see `sqllineage/core/analyzer.py`.
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
}
Turn 6at 65 s54 tokens out7,625 prompt tokens
And let's see the rest of `sqllineage/core/analyzer.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/core/analyzer.py",
  "start_line": 151
}
Result of read_file 522 characters
{
  "status": "ok",
  "filepath": "sqllineage/core/analyzer.py",
  "content": "\n    @classmethod\n    def _parse_subquery(\n        cls, token: Union[Identifier, Function, Where]\n    ) -> List[SubQuery]:\n        \"\"\"\n        convert SubQueryTuple to sqllineage.core.models.SubQuery\n        \"\"\"\n        return [\n            SubQuery.of(parenthesis, alias)\n            for parenthesis, alias in get_subquery_parentheses(token)\n        ]",
  "start_line": 151,
  "end_line": 162,
  "total_lines": 162,
  "is_truncated": false
}
Turn 7at 70 s91 tokens out7,859 prompt tokens
The `LineageAnalyzer` uses several handlers from `sqllineage.core.handlers`.
Specifically, it iterates through `CurrentTokenBaseHandler.__subclasses__()` and `NextTokenBaseHandler.__subclasses__()`.

Let's see what's in `sqllineage/core/handlers`.
TOOL CALL · run_command
{
  "command": "ls sqllineage/core/handlers"
}
Result of run_command 131 characters
{
  "status": "ok",
  "stdout": "__init__.py\nbase.py\ncte.py\nsource.py\nswap_partition.py\ntarget.py\n",
  "stderr": "",
  "exit_code": 0
}
Turn 8at 77 s88 tokens out8,020 prompt tokens
The handlers for source tables and target tables are likely in `sqllineage/core/handlers/source.py` and `sqllineage/core/handlers/target.py`.

Let's look at `sqllineage/core/handlers/source.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/core/handlers/source.py"
}
Result of read_file 6,461 characters
{
  "status": "ok",
  "filepath": "sqllineage/core/handlers/source.py",
  "content": "import re\nfrom typing import Dict, List, Union\n\nfrom sqlparse.sql import (\n    Case,\n    Function,\n    Identifier,\n    IdentifierList,\n    Operation,\n    Parenthesis,\n    Token,\n)\nfrom sqlparse.tokens import Literal, Wildcard\n\nfrom sqllineage.core.handlers.base import NextTokenBaseHandler\nfrom sqllineage.core.holders import SubQueryLineageHolder\nfrom sqllineage.core.models import Column, Path, SubQuery, Table\nfrom sqllineage.exceptions import SQLLineageException\nfrom sqllineage.utils.constant import EdgeType\nfrom sqllineage.utils.sqlparse import get_subquery_parentheses\n\n\nclass SourceHandler(NextTokenBaseHandler):\n    \"\"\"Source Table & Column Handler.\"\"\"\n\n    SOURCE_TABLE_TOKENS = (\n        r\"FROM\",\n        # inspired by https://github.com/andialbrecht/sqlparse/blob/master/sqlparse/keywords.py\n        r\"((LEFT\\s+|RIGHT\\s+|FULL\\s+)?(INNER\\s+|OUTER\\s+|STRAIGHT\\s+)?|(CROSS\\s+|NATURAL\\s+)?)?JOIN\",\n    )\n\n    def __init__(self):\n        self.column_flag = False\n        self.columns = []\n        self.tables = []\n        self.union_barriers = []\n        super().__init__()\n\n    def _indicate(self, token: Token) -> bool:\n        if token.normalized in (\"UNION\", \"UNION ALL\"):\n            self.union_barriers.append((len(self.columns), len(self.tables)))\n\n        if any(re.match(regex, token.normalized) for regex in self.SOURCE_TABLE_TOKENS):\n            self.column_flag = False\n            return True\n        elif bool(token.normalized == \"SELECT\"):\n            self.column_flag = True\n            return True\n        else:\n            return False\n\n    def _handle(self, token: Token, holder: SubQueryLineageHolder) -> None:\n        if self.column_flag:\n            self._handle_column(token)\n        else:\n            self._handle_table(token, holder)\n\n    def _handle_table(self, token: Token, holder: SubQueryLineageHolder) -> None:\n        if isinstance(token, Identifier):\n            self.tables.append(self._get_dataset_from_identifier(token, holder))\n        elif isinstance(token, IdentifierList):\n            # This is to support join in ANSI-89 syntax\n            for identifier in token.get_sublists():\n                self.tables.append(\n                    self._get_dataset_from_identifier(identifier, holder)\n                )\n        elif isinstance(token, Parenthesis):\n            # SELECT col1 FROM (SELECT col2 FROM tab1), the subquery will be parsed as Parenthesis\n            # This syntax without alias for subquery is invalid in MySQL, while valid for SparkSQL\n            self.tables.append(SubQuery.of(token, None))\n        elif token.ttype == Literal.String.Single:\n            self.tables.append(Path(token.value))\n        else:\n            raise SQLLineageException(\n                \"An Identifier is expected, got %s[value: %s] instead.\"\n                % (type(token).__name__, token)\n            )\n\n    def _handle_column(self, token: Token) -> None:\n        column_token_types = (Identifier, Function, Operation, Case)\n        if isinstance(token, column_token_types) or token.ttype is Wildcard:\n            column_tokens = [token]\n        elif isinstance(token, IdentifierList):\n            column_tokens = [\n                sub_token\n                for sub_token in token.tokens\n                if isinstance(sub_token, column_token_types)\n            ]\n        else:\n            # SELECT constant value will end up here\n            column_tokens = []\n        for token in column_tokens:\n            self.columns.append(Column.of(token))\n\n    def end_of_query_cleanup(self, holder: SubQueryLineageHolder) -> None:\n        for i, tbl in enumerate(self.tables):\n            holder.add_read(tbl)\n        self.union_barriers.append((len(self.columns), len(self.tables)))\n        for i, (col_barrier, tbl_barrier) in enumerate(self.union_barriers):\n            prev_col_barrier, prev_tbl_barrier = (\n                (0, 0) if i == 0 else self.union_barriers[i - 1]\n            )\n            col_grp = self.columns[prev_col_barrier:col_barrier]\n            tbl_grp = self.tables[prev_tbl_barrier:tbl_barrier]\n            tgt_tbl = None\n            if holder.write:\n                if len(holder.write) > 1:\n                    raise SQLLineageException\n                tgt_tbl = list(holder.write)[0]\n            if tgt_tbl:\n                for tgt_col in col_grp:\n                    tgt_col.parent = tgt_tbl\n                    for src_col in tgt_col.to_source_columns(\n                        self._get_alias_mapping_from_table_group(tbl_grp, holder)\n                    ):\n                        holder.add_column_lineage(src_col, tgt_col)\n\n    @classmethod\n    def _get_dataset_from_identifier(\n        cls, identifier: Identifier, holder: SubQueryLineageHolder\n    ) -> Union[Path, Table, SubQuery]:\n        path_match = re.match(r\"(parquet|csv|json)\\.`(.*)`\", identifier.value)\n        if path_match is not None:\n            return Path(path_match.groups()[1])\n        else:\n            read: Union[Table, SubQuery, None] = None\n            subqueries = get_subquery_parentheses(identifier)\n            if len(subqueries) > 0:\n                # SELECT col1 FROM (SELECT col2 FROM tab1) dt, the subquery will be parsed as Identifier\n                # referring https://github.com/andialbrecht/sqlparse/issues/218 for further information\n                parenthesis, alias = subqueries[0]\n                read = SubQuery.of(parenthesis, alias)\n            else:\n                cte_dict = {s.alias: s for s in holder.cte}\n                if \".\" not in identifier.value:\n                    cte = cte_dict.get(identifier.get_real_name())\n                    if cte is not None:\n                        # could reference CTE with or without alias\n                        read = SubQuery.of(\n                            cte.token,\n                            identifier.get_alias() or identifier.get_real_name(),\n                        )\n                if read is None:\n                    read = Table.of(identifier)\n            return read\n\n    @classmethod\n    def _get_alias_mapping_from_table_group(\n        cls,\n        table_group: List[Union[Path, Table, SubQuery]],",
  "start_line": 1,
  "end_line": 150,
  "total_lines": 169,
  "is_truncated": true
}
Turn 9at 80 s48 tokens out9,897 prompt tokens
Now let's look at `sqllineage/core/handlers/target.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/core/handlers/target.py"
}
Result of read_file 2,739 characters
{
  "status": "ok",
  "filepath": "sqllineage/core/handlers/target.py",
  "content": "from sqlparse.sql import Comparison, Function, Identifier, Token\nfrom sqlparse.tokens import Literal, Number\n\nfrom sqllineage.core.handlers.base import NextTokenBaseHandler\nfrom sqllineage.core.holders import SubQueryLineageHolder\nfrom sqllineage.core.models import Path, Table\nfrom sqllineage.exceptions import SQLLineageException\n\n\nclass TargetHandler(NextTokenBaseHandler):\n    \"\"\"Target Table Handler.\"\"\"\n\n    TARGET_TABLE_TOKENS = (\"INTO\", \"OVERWRITE\", \"TABLE\", \"VIEW\", \"UPDATE\", \"COPY\")\n\n    def _indicate(self, token: Token) -> bool:\n        return token.normalized in self.TARGET_TABLE_TOKENS\n\n    def _handle(self, token: Token, holder: SubQueryLineageHolder) -> None:\n        if isinstance(token, Function):\n            # insert into tab (col1, col2) values (val1, val2); Here tab (col1, col2) will be parsed as Function\n            # referring https://github.com/andialbrecht/sqlparse/issues/483 for further information\n            if not isinstance(token.token_first(skip_cm=True), Identifier):\n                raise SQLLineageException(\n                    \"An Identifier is expected, got %s[value: %s] instead.\"\n                    % (type(token).__name__, token)\n                )\n            holder.add_write(Table.of(token.token_first(skip_cm=True)))\n        elif isinstance(token, Comparison):\n            # create table tab1 like tab2, tab1 like tab2 will be parsed as Comparison\n            # referring https://github.com/andialbrecht/sqlparse/issues/543 for further information\n            if not (\n                isinstance(token.left, Identifier)\n                and isinstance(token.right, Identifier)\n            ):\n                raise SQLLineageException(\n                    \"An Identifier is expected, got %s[value: %s] instead.\"\n                    % (type(token).__name__, token)\n                )\n            holder.add_write(Table.of(token.left))\n            holder.add_read(Table.of(token.right))\n        elif token.ttype == Literal.String.Single:\n            holder.add_write(Path(token.value))\n        else:\n            if not isinstance(token, Identifier):\n                raise SQLLineageException(\n                    \"An Identifier is expected, got %s[value: %s] instead.\"\n                    % (type(token).__name__, token)\n                )\n            if token.token_first(skip_cm=True).ttype is Number.Integer:\n                # Special Handling for Spark Bucket Table DDL\n                pass\n            else:\n                holder.add_write(Table.of(token))",
  "start_line": 1,
  "end_line": 53,
  "total_lines": 53,
  "is_truncated": false
}
Turn 10at 103 s279 tokens out10,693 prompt tokens
Wait, if the input is:
`INSERT OVERWRITE TABLE foo SELECT col FROM foo WHERE flag IS NOT NULL`

The `TargetHandler` will see `TABLE` and then `foo`.
`TargetHandler._indicate` returns True for `TABLE`.
The next token is `foo`, which is an `Identifier`.
`TargetHandler._handle` will call `holder.add_write(Table.of(token))` where token is `foo`.

Then `SourceHandler` will see `SELECT` and `FROM`.
When it sees `SELECT`, it sets `column_flag = True`.
Then it sees `col`. `_handle_column` is called, which adds `Col.of(token)` to `self.columns`.
Then it sees `FROM`. `_indicate` returns True and sets `column_flag = False`.
Then it sees `foo`. `_handle_table` is called, which adds `Table.of(token)` to `self.tables`.

Now here is where it gets interesting. Let's look at `sqllineage/core/models.py` to see how `Table.of` and `Column.of` are implemented.
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
}
Turn 11at 105 s58 tokens out12,351 prompt tokens
Let's look at `Column.of` in `sqllineage/core/models.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/core/models.py",
  "start_line\"": 151
}
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
}
Turn 12at 114 s80 tokens out13,787 prompt tokens
Wait, I read the same lines again (1-150). I wanted the part that defines `Column` class. Let me search for `class Column` in `sqllineage/core/models.py`.
TOOL CALL · run_command
{
  "command": "grep -n \"class Column\" sqllineage/core/models.py"
}
Result of run_command 79 characters
{
  "status": "ok",
  "stdout": "163:class Column:\n",
  "stderr": "",
  "exit_code": 0
}
Turn 13at 120 s59 tokens out13,913 prompt tokens
Okay, let's read `sqllineage/core/models.py` from line 163.
TOOL CALL · read_file
{
  "filepath": "sqllineage/core/models.py",
  "start_line": 163
}
Result of read_file 6,101 characters
{
  "status": "ok",
  "filepath": "sqllineage/core/models.py",
  "content": "class 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)\n                ]\n        else:\n            # Handle literals other than *\n            if (\n                token.ttype is not None\n                and token.ttype[0] == T.Literal[0]\n                and token.value != \"*\"\n            ):\n                source_columns = []\n            else:\n                # select *\n                source_columns = [ColumnQualifierTuple(token.value, None)]",
  "start_line": 163,
  "end_line": 312,
  "total_lines": 348,
  "is_truncated": true
}
Turn 14at 125 s49 tokens out15,571 prompt tokens
And the end of `sqllineage/core/models.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/core/models.py",
  "start_line": 313
}
Result of read_file 1,719 characters
{
  "status": "ok",
  "filepath": "sqllineage/core/models.py",
  "content": "        return source_columns\n\n    def to_source_columns(self, alias_mapping: Dict[str, Union[Table, SubQuery]]):\n        \"\"\"\n        Best guess for source table given all the possible table/subquery and their alias.\n        \"\"\"\n\n        def _to_src_col(name: str, parent: Union[Table, SubQuery] = None):\n            col = Column(name)\n            if parent:\n                col.parent = parent\n            return col\n\n        source_columns = set()\n        for (src_col, qualifier) in self.source_columns:\n            if qualifier is None:\n                if src_col == \"*\":\n                    # select *\n                    for table in set(alias_mapping.values()):\n                        source_columns.add(_to_src_col(src_col, table))\n                else:\n                    # select unqualified column\n                    src_col = _to_src_col(src_col, None)\n                    for table in set(alias_mapping.values()):\n                        # in case of only one table, we get the right answer\n                        # in case of multiple tables, a bunch of possible tables are set\n                        src_col.parent = table\n                    source_columns.add(src_col)\n            else:\n                if alias_mapping.get(qualifier):\n                    source_columns.add(\n                        _to_src_col(src_col, alias_mapping.get(qualifier))\n                    )\n                else:\n                    source_columns.add(_to_src_col(src_col, Table(qualifier)))\n        return source_columns",
  "start_line": 313,
  "end_line": 348,
  "total_lines": 348,
  "is_truncated": false
}
Turn 15at 182 s52 tokens out4,598 prompt tokens
Now let's look at `sqllineage/core/handlers/target_handler.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/core/handlers/target_handler.py"
}
Result of read_file 447 characters
{
  "status": "error",
  "error_type": "FileReadError",
  "error_message": "404 Client Error for http+docker://localhost/v1.52/containers/be67ca76db16ab4df41d23099997dab3a4f306e27f6f6f5a8e559f1715bece3e/archive?path=%2Fworkspace%2Fsqllineage%2Fcore%2Fhandlers%2Ftarget_handler.py: Not Found (\"Could not find the file /workspace/sqllineage/core/handlers/target_handler.py in container be67ca76db16ab4df41d23099997dab3a4f306e27f6f6f5a8e559f1715bece3e\")"
}
Turn 16at 187 s46 tokens out4,878 prompt tokens
Ah, I might have the path wrong. Let me check the directory structure.
TOOL CALL · run_command
{
  "command": "find sqllineage/core/handlers -name \"*.py\""
}
Result of run_command 281 characters
{
  "status": "ok",
  "stdout": "sqllineage/core/handlers/base.py\nsqllineage/core/handlers/target.py\nsqllineage/core/handlers/swap_partition.py\nsqllineage/core/handlers/__init__.py\nsqllineage/core/handlers/source.py\nsqllineage/core/handlers/cte.py\n",
  "stderr": "",
  "exit_code": 0
}
Turn 17at 193 s70 tokens out5,048 prompt tokens
It's `sqllineage/core/handlers/target.py`, not `target_handler.py`. Let me read `sqllineage/core/handlers/target.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/core/handlers/target.py"
}
Result of read_file 2,739 characters
{
  "status": "ok",
  "filepath": "sqllineage/core/handlers/target.py",
  "content": "from sqlparse.sql import Comparison, Function, Identifier, Token\nfrom sqlparse.tokens import Literal, Number\n\nfrom sqllineage.core.handlers.base import NextTokenBaseHandler\nfrom sqllineage.core.holders import SubQueryLineageHolder\nfrom sqllineage.core.models import Path, Table\nfrom sqllineage.exceptions import SQLLineageException\n\n\nclass TargetHandler(NextTokenBaseHandler):\n    \"\"\"Target Table Handler.\"\"\"\n\n    TARGET_TABLE_TOKENS = (\"INTO\", \"OVERWRITE\", \"TABLE\", \"VIEW\", \"UPDATE\", \"COPY\")\n\n    def _indicate(self, token: Token) -> bool:\n        return token.normalized in self.TARGET_TABLE_TOKENS\n\n    def _handle(self, token: Token, holder: SubQueryLineageHolder) -> None:\n        if isinstance(token, Function):\n            # insert into tab (col1, col2) values (val1, val2); Here tab (col1, col2) will be parsed as Function\n            # referring https://github.com/andialbrecht/sqlparse/issues/483 for further information\n            if not isinstance(token.token_first(skip_cm=True), Identifier):\n                raise SQLLineageException(\n                    \"An Identifier is expected, got %s[value: %s] instead.\"\n                    % (type(token).__name__, token)\n                )\n            holder.add_write(Table.of(token.token_first(skip_cm=True)))\n        elif isinstance(token, Comparison):\n            # create table tab1 like tab2, tab1 like tab2 will be parsed as Comparison\n            # referring https://github.com/andialbrecht/sqlparse/issues/543 for further information\n            if not (\n                isinstance(token.left, Identifier)\n                and isinstance(token.right, Identifier)\n            ):\n                raise SQLLineageException(\n                    \"An Identifier is expected, got %s[value: %s] instead.\"\n                    % (type(token).__name__, token)\n                )\n            holder.add_write(Table.of(token.left))\n            holder.add_read(Table.of(token.right))\n        elif token.ttype == Literal.String.Single:\n            holder.add_write(Path(token.value))\n        else:\n            if not isinstance(token, Identifier):\n                raise SQLLineageException(\n                    \"An Identifier is expected, got %s[value: %s] instead.\"\n                    % (type(token).__name__, token)\n                )\n            if token.token_first(skip_cm=True).ttype is Number.Integer:\n                # Special Handling for Spark Bucket Table DDL\n                pass\n            else:\n                holder.add_write(Table.of(token))",
  "start_line": 1,
  "end_line": 53,
  "total_lines": 53,
  "is_truncated": false
}
Turn 18at 194 s43 tokens out5,866 prompt tokens
And `sqllineage/core/handlers/source.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/core/handlers/source.py"
}
Result of read_file 6,461 characters
{
  "status": "ok",
  "filepath": "sqllineage/core/handlers/source.py",
  "content": "import re\nfrom typing import Dict, List, Union\n\nfrom sqlparse.sql import (\n    Case,\n    Function,\n    Identifier,\n    IdentifierList,\n    Operation,\n    Parenthesis,\n    Token,\n)\nfrom sqlparse.tokens import Literal, Wildcard\n\nfrom sqllineage.core.handlers.base import NextTokenBaseHandler\nfrom sqllineage.core.holders import SubQueryLineageHolder\nfrom sqllineage.core.models import Column, Path, SubQuery, Table\nfrom sqllineage.exceptions import SQLLineageException\nfrom sqllineage.utils.constant import EdgeType\nfrom sqllineage.utils.sqlparse import get_subquery_parentheses\n\n\nclass SourceHandler(NextTokenBaseHandler):\n    \"\"\"Source Table & Column Handler.\"\"\"\n\n    SOURCE_TABLE_TOKENS = (\n        r\"FROM\",\n        # inspired by https://github.com/andialbrecht/sqlparse/blob/master/sqlparse/keywords.py\n        r\"((LEFT\\s+|RIGHT\\s+|FULL\\s+)?(INNER\\s+|OUTER\\s+|STRAIGHT\\s+)?|(CROSS\\s+|NATURAL\\s+)?)?JOIN\",\n    )\n\n    def __init__(self):\n        self.column_flag = False\n        self.columns = []\n        self.tables = []\n        self.union_barriers = []\n        super().__init__()\n\n    def _indicate(self, token: Token) -> bool:\n        if token.normalized in (\"UNION\", \"UNION ALL\"):\n            self.union_barriers.append((len(self.columns), len(self.tables)))\n\n        if any(re.match(regex, token.normalized) for regex in self.SOURCE_TABLE_TOKENS):\n            self.column_flag = False\n            return True\n        elif bool(token.normalized == \"SELECT\"):\n            self.column_flag = True\n            return True\n        else:\n            return False\n\n    def _handle(self, token: Token, holder: SubQueryLineageHolder) -> None:\n        if self.column_flag:\n            self._handle_column(token)\n        else:\n            self._handle_table(token, holder)\n\n    def _handle_table(self, token: Token, holder: SubQueryLineageHolder) -> None:\n        if isinstance(token, Identifier):\n            self.tables.append(self._get_dataset_from_identifier(token, holder))\n        elif isinstance(token, IdentifierList):\n            # This is to support join in ANSI-89 syntax\n            for identifier in token.get_sublists():\n                self.tables.append(\n                    self._get_dataset_from_identifier(identifier, holder)\n                )\n        elif isinstance(token, Parenthesis):\n            # SELECT col1 FROM (SELECT col2 FROM tab1), the subquery will be parsed as Parenthesis\n            # This syntax without alias for subquery is invalid in MySQL, while valid for SparkSQL\n            self.tables.append(SubQuery.of(token, None))\n        elif token.ttype == Literal.String.Single:\n            self.tables.append(Path(token.value))\n        else:\n            raise SQLLineageException(\n                \"An Identifier is expected, got %s[value: %s] instead.\"\n                % (type(token).__name__, token)\n            )\n\n    def _handle_column(self, token: Token) -> None:\n        column_token_types = (Identifier, Function, Operation, Case)\n        if isinstance(token, column_token_types) or token.ttype is Wildcard:\n            column_tokens = [token]\n        elif isinstance(token, IdentifierList):\n            column_tokens = [\n                sub_token\n                for sub_token in token.tokens\n                if isinstance(sub_token, column_token_types)\n            ]\n        else:\n            # SELECT constant value will end up here\n            column_tokens = []\n        for token in column_tokens:\n            self.columns.append(Column.of(token))\n\n    def end_of_query_cleanup(self, holder: SubQueryLineageHolder) -> None:\n        for i, tbl in enumerate(self.tables):\n            holder.add_read(tbl)\n        self.union_barriers.append((len(self.columns), len(self.tables)))\n        for i, (col_barrier, tbl_barrier) in enumerate(self.union_barriers):\n            prev_col_barrier, prev_tbl_barrier = (\n                (0, 0) if i == 0 else self.union_barriers[i - 1]\n            )\n            col_grp = self.columns[prev_col_barrier:col_barrier]\n            tbl_grp = self.tables[prev_tbl_barrier:tbl_barrier]\n            tgt_tbl = None\n            if holder.write:\n                if len(holder.write) > 1:\n                    raise SQLLineageException\n                tgt_tbl = list(holder.write)[0]\n            if tgt_tbl:\n                for tgt_col in col_grp:\n                    tgt_col.parent = tgt_tbl\n                    for src_col in tgt_col.to_source_columns(\n                        self._get_alias_mapping_from_table_group(tbl_grp, holder)\n                    ):\n                        holder.add_column_lineage(src_col, tgt_col)\n\n    @classmethod\n    def _get_dataset_from_identifier(\n        cls, identifier: Identifier, holder: SubQueryLineageHolder\n    ) -> Union[Path, Table, SubQuery]:\n        path_match = re.match(r\"(parquet|csv|json)\\.`(.*)`\", identifier.value)\n        if path_match is not None:\n            return Path(path_match.groups()[1])\n        else:\n            read: Union[Table, SubQuery, None] = None\n            subqueries = get_subquery_parentheses(identifier)\n            if len(subqueries) > 0:\n                # SELECT col1 FROM (SELECT col2 FROM tab1) dt, the subquery will be parsed as Identifier\n                # referring https://github.com/andialbrecht/sqlparse/issues/218 for further information\n                parenthesis, alias = subqueries[0]\n                read = SubQuery.of(parenthesis, alias)\n            else:\n                cte_dict = {s.alias: s for s in holder.cte}\n                if \".\" not in identifier.value:\n                    cte = cte_dict.get(identifier.get_real_name())\n                    if cte is not None:\n                        # could reference CTE with or without alias\n                        read = SubQuery.of(\n                            cte.token,\n                            identifier.get_alias() or identifier.get_real_name(),\n                        )\n                if read is None:\n                    read = Table.of(identifier)\n            return read\n\n    @classmethod\n    def _get_alias_mapping_from_table_group(\n        cls,\n        table_group: List[Union[Path, Table, SubQuery]],",
  "start_line": 1,
  "end_line": 150,
  "total_lines": 169,
  "is_truncated": true
}
Turn 19at 251 s871 tokens out7,698 prompt tokens
Wait, `SourceHandler._handle_column` uses `Column.of(token)`.
And `SourceHandler.end_of_query_cleanup` does this:

```python
            if tgt_tbl:
                for tgt_col in col_grp:
                    tgt_col.parent = tgt_tbl
                    for src_col in tgt_col.to_source_columns(
                        self._get_alias_mapping_from_table_group(tbl_grp, holder)
                    ):
                        holder.add_column_lineage(src_col, tgt_col)
```

And `Column.to_source_columns` in `models.py`:

```python
    def to_source_columns(self, alias_mapping: Dict[str, Union[Table, SubQuery]]):
        """
        Best guess for source table given all the possible table/subquery and their alias.
        """

        def _to_src_col(name: str, parent: Union[Table, SubQuery] = None):
            col = Column(name)
            if parent:
                col.parent = parent
            return col

        source_columns = set()
        for (src_col, qualifier) in self.source_columns:
            if qualifier is None:
                if src_col == "*":
                    # select *
                    for table in set(alias_mapping.values()):
                        source_columns.add(_to_src_col(src_col, table))
                else:
                    # select unqualified column
                    src_col = _to_src_col(src_col, None)
                    for table in set(alias_mapping.values()):
                        # in case of only one table, we get the right answer
                        # in case of multiple tables, a bunch of possible tables are set
                        src_col.parent = table
                    source_columns.add(src_col)
            else:
                if alias_mapping.get(qualifier):
                    source_columns.add(
                        _to_src_col(src_col, alias_mapping.get(qualifier))
                    )
                else:
                    source_columns.add(_to_src_col(src_col, Table(qualifier)))
        return source_columns
```

In `Column.to_source_columns`, if `qualifier` is not in `alias_mapping`, it does `_to_src_col(src_col, Table(qualifier))`.
`_to_src_col` creates a `Column` and sets its `parent` to the `Table`.

The issue is that if `sql` is `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, the `TgtTable` is `foo`.
In `SourceHandler.end_of_query_cleanup`, `tgt_tbl` will be `foo`.
`col` is `col`, its `parent` is set to `foo`.
Then `col.to_source_columns(alias_mapping)` is called.
In `foo`, `col` is unqualified, so `qualifier` is `None`.
`alias_mapping` will contain `{ "foo": Table("foo") }` (or similar).
Then `src_col = _to_src_col("col", None)` is created.
Then for `table` in `alias_mapping.values()` (which is `Table("foo")`), `src_col.parent = table`.
So `src_col` is `Column("col")` with `parent = Table("foo")`.
Then `holder.add_column_lineage(src_col, tgt_col)` is called.

Now let's see what `holder.add_column_lineage` does. I need to read `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
}
Turn 20at 291 s763 tokens out10,334 prompt tokens
Look at `add_column_lineage`:

```python
    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```

It adds edges from `tgt.parent` to `tgt` and `src.parent` to `src`.
Wait, the problem description says:
"the tool incorrectly lists the column (e.g., `<default>.foo.col`) as both a source and target table."

Wait, if `src` and `tgt` are `Column` objects, they are added as nodes in `self.graph`.
`StatementLineageHolder.read` is defined as:

```python
    @property\n    def read(self) -> Set[Table]:  # type: ignore\n        return {t for t in super().read if isinstance(t, DATASET_CLASSES)}\n```

And `super().read` is:

```python
    @property\n    def read(self) -> Set[Union[SubQuery, Table]]:\n        return self._property_getter(NodeTag.READ)\n```

 And `_property_getter` is:

```python
    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```

So for something to be in `read` or `write`, it must have `NodeTag.READ` or `NodeTag.WRITE` property set.
In `SubQueryLineageHolder`:

```python
    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    def add_write(self, value) -> None:\n        self._property_setter(value, NodeTag.WRITE)\n```

`add_column_lineage` DOES NOT call `add_read` or `add_write`. It just adds edges.

Wait, let's look at the reproduction output again.

```
Table read: [foo]
Table write: [foo]
Column lineage: [('foo.col', 'foo.col')]
```

Wait, that output is CORRECT.
Wait, I should look at the reproduction failure I saw earlier.

The user said: "incorrectly lists the column (e.g., `<default>.foo.col`) as both a source and target table."

Wait, let me run my reproduction script again to see exactly what it's outputting.
TOOL CALL · run_command
{
  "command": "python3 /tmp/repro.py"
}
Result of run_command 399 characters
{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "python3: can't open file '/tmp/repro.py': [Errno 2] No such file or directory\n",
  "details": {
    "stdout": "",
    "stderr": "python3: can't open file '/tmp/repro.py': [Errno 2] No such file or directory\n",
    "exit_code": 2
  },
  "budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}
Turn 21at 300 s147 tokens out11,248 prompt tokens
Ah, I didn't create `/tmp/repro.py` yet in this session. Let me create it.
TOOL CALL · run_command
{
  "command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\n\nsql = \"INSERT OVERWRITE TABLE foo SELECT col FROM foo\"\nrunner = LineageRunner(sql)\nprint(f\"Table read: {runner.get_table_lineage(source=True)}\")\nprint(f\"Table write: {runner.get_table_lineage(source=False)}\")\nprint(f\"Column lineage: {runner.get_column_lineage()}\")\nPY\n"
}
Result of run_command 624 characters
{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "Traceback (most recent call last):\n  File \"<stdin>\", line 5, in <module>\nAttributeError: 'LineageRunner' object has no attribute 'get_table_lineage'. Did you mean: 'print_table_lineage'?\n",
  "details": {
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"<stdin>\", line 5, in <module>\nAttributeError: 'LineageRunner' object has no attribute 'get_table_lineage'. Did you mean: 'print_table_lineage'?\n",
    "exit_code": 1
  },
  "budget_warning": "Only 9 tool call(s) remaining (21/30 used). Finalize your edits and call submit_patch soon."
}
Turn 22at 304 s62 tokens out11,606 prompt tokens
My apologies, I used a non-existent method `get_table_lineage`.
Let me check `LineageRunner` in `sqllineage/runner.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/runner.py"
}
Result of read_file 5,245 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,
  "budget_warning": "Only 8 tool call(s) remaining (22/30 used). Finalize your edits and call submit_patch soon."
}
Turn 23at 314 s150 tokens out13,237 prompt tokens
The `LineageRunner` properties are `source_tables`, `target_tables`, `intermediate_tables`, and `get_column_lineage`.
Let's try the reproduction again.
TOOL CALL · run_command
{
  "command": "python3 - <<'PY'\nfrom sqllineage.runner import LineageRunner\n\nsql = \"INSERT OVERWRITE TABLE foo SELECT col FROM foo\"\nrunner = LineageRunner(sql)\nprint(f\"Source Tables: {runner.source_tables}\")\nprint(f\"Target Tables: {runner.target_tables}\")\nprint(f\"Column lineage: {runner.get_column_lineage()}\")\nPY\n"
}
Result of run_command 325 characters
{
  "status": "ok",
  "stdout": "Source Tables: [Table: <default>.foo, Column: <default>.foo.col]\nTarget Tables: [Table: <default>.foo, Column: <default>.foo.col]\nColumn lineage: []\n",
  "stderr": "",
  "exit_code": 0,
  "budget_warning": "Only 7 tool call(s) remaining (23/30 used). Finalize your edits and call submit_patch soon."
}
Turn 24at 333 s276 tokens out13,508 prompt tokens
AHA! Found it!
`Source Tables: [Table: <default>.foo, Column: <default>.foo.col]`
`Target Tables: [Table: <default>.foo, Column: <default>.foo.col]`
And `Column lineage: []`. This is definitely wrong.

Wait, why are `Column` objects appearing in `source_tables` and `target_tables`?
Let's check `LineageRunner.source_tables`:

```python
    @lazy_property
    def source_tables(self) -> List[Table]:
        """
        a list of source :class:`sqllineage.models.Table`
        """
        return sorted(self._sql_holder.source_tables, key=lambda x: str(x))
```

It uses `self._sql_holder.source_tables`. Let's find where `self._sql_holder` is initialized and what `source_tables` does in `SQLLineageHolder`.
LineageRunner's `_eval` method is not in the first 150 lines of `runner.py`.
TOOL CALL · read_file
{
  "filepath": "sqllineage/runner.py",
  "start_line": 151
}
Result of read_file 1,408 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,
  "budget_warning": "Only 6 tool call(s) remaining (24/30 used). Finalize your edits and call submit_patch soon."
}
Turn 25at 336 s64 tokens out14,215 prompt tokens
And `SQLLineageHolder` in `sqllineage/core/holders.py`. Let's read the rest of it.
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 5 tool call(s) remaining (25/30 used). Finalize your edits and call submit_patch soon."
}
Turn 26at 442 s1,638 tokens out16,006 prompt tokens
Wait, I see the bug! Look at `SQLLineageHolder.of`:

```python
        for table in {e[0] for e in nx.selfloop_edges(g)}:
            g.nodes[table][NodeTag.SELFLOOP] = True
```

If `nx.selfloop_edges(g)` returns an edge where `e[0]` is a `Column`, then `g.nodes[table][NodeTag.SELFLOOP] = True` will be set on a `Column` object!

And then:
```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 is called by `source_tables` and `target_tables`:
```python
    @property
    def source_tables(self) -> Set[Table]:
        # ...
        source_tables |= self._selfloop_tables
        # ...
```

`_selfloop_tables` is `self.__retrieve_tag_tables(NodeTag.SELFLOOP)`.
So if a `Column` object has `NodeTag.SELFLOOP = True`, it will be included in `source_tables` and `target_tables`.

Now, why would there be a self-loop edge in `g` where the node is a `Column`?
In `SQLLineageHolder.of`:

```python
                else:
                    g.add_nodes_from(read)
                    g.add_nodes_from(write)
                    for source, target in itertools.product(read, write):
                        g.add_edge(source, target, type=EdgeType.LINEAGE)
```

Wait, `read` and `write` are from `holder.read` and `holder.write`.
In `SubQueryLineageHolder`:
`read` returns `{t for t, attr in self.graph.nodes(data=True) if attr.get(NodeTag.READ) is True}`.

Wait, let's see if a `Column` can have `NodeTag.READ` or `NodeTag.WRITE`.
`SubQueryLineageHolder.add_read` and `add_write` are called with `value`.

In `SourceHandler.end_of_query_cleanup`:
```python
        for i, tbl in enumerate(self.tables):
            holder.add_read(tbl)
```
`self.tables` contains `Table`, `SubQuery`, or `Path`.

In `TargetHandler._handle`:
```python
            holder.add_write(Table.of(token.token_first(skip_cm=True)))
            # ...
            holder.add_write(Table.of(token.left))
            holder.add_write(Table.of(token.right))
            # ...
            holder.add_write(Table.of(token))
```
All of these use `Table.of`.

So `read` and `write` sets in `SubQueryLineageHolder` only contain `Table`, `SubQuery`, or `Path`.
Therefore, `itertools.product(read, write)` only creates edges between those.

Wait, then where did the self-loop edge with a `Column` come from?
In `SubQueryLineageHolder.add_column_lineage`:
```python
    def add_column_lineage(self, src: Column, tgt: Column) -> None:
        self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)
        self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)
        if src.parent is not None:
            self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)
```

If `src == tgt`, then `self.graph.add_edge(src, tgt, ...)` is a self-loop!
And `src` and `tgt` are `Column` objects.
In `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, `tgt_col` is `Column("col")` with `parent=Table("foo")`.
`tgt_col.to_source_columns` returns `src_col = Column("col")` with `parent=Table("foo")`.
Since `Column` implements `__eq__` and `__hash__` based on `str(self)`, and `str(self)` for both is `foo.col`, they are the same object (or equivalent).
So `holder.add_column_lineage(src_col, tgt_col)` adds an edge from `foo.col` to `foo.col`.

This is a self-loop!
Then `SQLLineageHolder.of` finds this self-loop and marks the node as `NodeTag.SELFLOOP`.
Since the node is a `Column`, it's incorrectly treated as a table in `source_tables` and `target_tables`.

So the fix is to ensure that only `Table` (or `DATASET_CLASSES`) are marked as `SELFLOOP`.

Let's check `SQLLineageHolder.of`'s self-loop part again.

```python
        for table in {e[0] for e in nx.selfloop_edges(g)}:
            g.nodes[table][NodeTag.SELFLOOP] = True
```

We should change it to:
```python
        for table in {e[0] for e in nx.selfloop_edges(g)}:
            if isinstance(table, DATASET_CLASSES):
                g.nodes[table][NodeTag.SELFLOOP] = True
```

Wait, let's double check `DATASET_CLASSES`.
In `holders.py`:
```python
DATASET_CLASSES = (Path, Table)
```

Yes, that's correct. Only `Path` and `Table` should be considered for table lineage. `Column` should not.

Let's verify this. If I do this, the reproduction should now show:
`Source Tables: [Table: <default>.foo]`
`Target Tables: [Table: <default>.foo]`
`Column lineage: [('foo.col', 'foo.col')]` (actually, `get_column_lineage` might still return `[]` if it's a self-loop and `all_simple_paths` behaves differently, but the table lineage will be correct).

Wait, `all_simple_paths` does not return paths with loops.
But the issue is about table and column lineage being mixed.

Let's test the fix.
Turn 27at 442 s
<|tool_call>call edit_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,new_string:<|"|>        for table in {e[0] for e in nx.selfloop_edges(g)}:
            if isinstance(table, DATASET_CLASSES):
                g.nodes[table][NodeTag.SELFLOOP] = True<|"|>,old_string:<|"|>        for table in {e[0] for e in nx.selfloop_edges(g)}:
            g.nodes[table][NodeTag.SELFLOOP] = True<|"|>}<tool_call|>

Model calls (not matched to turns)

Generated tokens 358 tokens · stopped: STOP
The user is reporting an issue where table/column lineage is mixed up for self-dependent SQL.
Specifically, for the SQL:
```sql
INSERT OVERWRITE TABLE foo
SELECT col FROM foo
WHERE flag IS NOT NULL
```
The output shows:
```
Statements(#): 1
Source Tables:
    <default>.foo
    <default>.foo.col
Target Tables:
    <default>.foo
    <default>.foo.col
```
It seems that `foo.col` is being listed as a source and target table, but it should be a column.
The problem statement says "Column lineage is displayed by mistake here", which probably means that the column lineage is being reported as part of the table lineage or that it's incorrectly associating the column as a table.

Wait, looking at the output:
Source Tables:
  <default>.foo
  <default>.foo.col

Target Tables:
  <default>.foo
  <default>.foo.col

Usually, Source Tables should just be tables. `<default>.foo.col` looks like a column reference.

I need to investigate how `sqllineage` parses and analyzes these statements.
The core logic seems to be in `sqllineage/core/analyzer.py`.

Let's start by reproducing this.
<|channel>thought The user is reporting an issue where table/column lineage is mixed up for self-dependent SQL. Specifically, for the SQL: ```sql INSERT OVERWRITE TABLE foo SELECT col FROM foo WHERE flag IS NOT NULL ``` The output shows: ``` Statements(#): 1 Source Tables: <default>.foo <default>.foo.col Target Tables: <default>.foo <default>.foo.col ``` It seems that `foo.col` is being listed as a source and target table, but it should be a column. The problem statement says "Column lineage is displayed by mistake here", which probably means that the column lineage is being reported as part of the table lineage or that it's incorrectly associating the column as a table. Wait, looking at the output: Source Tables: <default>.foo <default>.foo.col Target Tables: <default>.foo <default>.foo.col Usually, Source Tables should just be tables. `<default>.foo.col` looks like a column reference. I need to investigate how `sqllineage` parses and analyzes these statements. The core logic seems to be in `sqllineage/core/analyzer.py`. Let's start by reproducing this.<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.explain()) PY <|"|>}<tool_call|><|tool_response>
Generated tokens 74 tokens · stopped: STOP
Ah, I used `explain()` which might not be the correct method for `LineageRunner`.
Let's check `sqllineage/runner.py` to see how to use it, or check how the CLI uses it.
Ah, I used `explain()` which might not be the correct method for `LineageRunner`. Let's check `sqllineage/runner.py` to see how to use it, or check how the CLI uses it. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>}<tool_call|><|tool_response>
Generated tokens 106 tokens · stopped: STOP
The `__str__` method of `LineageRunner` produces the summary that the user reported.
So I should just print the `LineageRunner` instance.

The `__str__` method of `LineageRunner` produces the summary that the user reported. So I should just print the `LineageRunner` instance. <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>
Generated tokens 151 tokens · stopped: STOP
Reproduced! The output shows `<default>.foo.col` as both a source table and a target table, which is wrong. It should be a column, not a table.

Now let's see how `LineageRunner` works. It uses `_sql_holder` and `_eval`.
Wait, I don't see `_eval` defined in `LineageRunner` in the `read_file` output above (it ends at line 150).
Let me read the rest of `sqllineage/runner.py`.
Reproduced! The output shows `<default>.foo.col` as both a source table and a target table, which is wrong. It should be a column, not a table. Now let's see how `LineageRunner` works. It uses `_sql_holder` and `_eval`. Wait, I don't see `_eval` defined in `LineageRunner` in the `read_file` output above (it ends at line 150). Let me read the rest of `sqllineage/runner.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>,start_line:151}<tool_call|><|tool_response>
Generated tokens 117 tokens · stopped: STOP
Okay, so `_eval` calls `LineageAnalyzer().analyze(stmt)` for each statement, and then created a `SQLLineageHolder.of(*self._stmt_holders)`.

Let's look at `sqllineage/core/analyzer.py` and `sqllineage/core/holders.py`.

First, let's see `sqllineage/core/analyzer.py`.
Okay, so `_eval` calls `LineageAnalyzer().analyze(stmt)` for each statement, and then created a `SQLLineageHolder.of(*self._stmt_holders)`. Let's look at `sqllineage/core/analyzer.py` and `sqllineage/core/holders.py`. First, let's see `sqllineage/core/analyzer.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/analyzer.py<|"|>}<tool_call|><|tool_response>
Generated tokens 54 tokens · stopped: STOP
And let's see the rest of `sqllineage/core/analyzer.py`.

And let's see the rest of `sqllineage/core/analyzer.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/analyzer.py<|"|>,start_line:151}<tool_call|><|tool_response>
Generated tokens 91 tokens · stopped: STOP
The `LineageAnalyzer` uses several handlers from `sqllineage.core.handlers`.
Specifically, it iterates through `CurrentTokenBaseHandler.__subclasses__()` and `NextTokenBaseHandler.__subclasses__()`.

Let's see what's in `sqllineage/core/handlers`.

The `LineageAnalyzer` uses several handlers from `sqllineage.core.handlers`. Specifically, it iterates through `CurrentTokenBaseHandler.__subclasses__()` and `NextTokenBaseHandler.__subclasses__()`. Let's see what's in `sqllineage/core/handlers`. <channel|><|tool_call>call:run_command{command:<|"|>ls sqllineage/core/handlers<|"|>}<tool_call|><|tool_response>
Generated tokens 88 tokens · stopped: STOP
The handlers for source tables and target tables are likely in `sqllineage/core/handlers/source.py` and `sqllineage/core/handlers/target.py`.

Let's look at `sqllineage/core/handlers/source.py`.

The handlers for source tables and target tables are likely in `sqllineage/core/handlers/source.py` and `sqllineage/core/handlers/target.py`. Let's look at `sqllineage/core/handlers/source.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/handlers/source.py<|"|>}<tool_call|><|tool_response>
Generated tokens 48 tokens · stopped: STOP
Now let's look at `sqllineage/core/handlers/target.py`.


Now let's look at `sqllineage/core/handlers/target.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/handlers/target.py<|"|>}<tool_call|><|tool_response>
Generated tokens 279 tokens · stopped: STOP
Wait, if the input is:
`INSERT OVERWRITE TABLE foo SELECT col FROM foo WHERE flag IS NOT NULL`

The `TargetHandler` will see `TABLE` and then `foo`.
`TargetHandler._indicate` returns True for `TABLE`.
The next token is `foo`, which is an `Identifier`.
`TargetHandler._handle` will call `holder.add_write(Table.of(token))` where token is `foo`.

Then `SourceHandler` will see `SELECT` and `FROM`.
When it sees `SELECT`, it sets `column_flag = True`.
Then it sees `col`. `_handle_column` is called, which adds `Col.of(token)` to `self.columns`.
Then it sees `FROM`. `_indicate` returns True and sets `column_flag = False`.
Then it sees `foo`. `_handle_table` is called, which adds `Table.of(token)` to `self.tables`.

Now here is where it gets interesting. Let's look at `sqllineage/core/models.py` to see how `Table.of` and `Column.of` are implemented.

Wait, if the input is: `INSERT OVERWRITE TABLE foo SELECT col FROM foo WHERE flag IS NOT NULL` The `TargetHandler` will see `TABLE` and then `foo`. `TargetHandler._indicate` returns True for `TABLE`. The next token is `foo`, which is an `Identifier`. `TargetHandler._handle` will call `holder.add_write(Table.of(token))` where token is `foo`. Then `SourceHandler` will see `SELECT` and `FROM`. When it sees `SELECT`, it sets `column_flag = True`. Then it sees `col`. `_handle_column` is called, which adds `Col.of(token)` to `self.columns`. Then it sees `FROM`. `_indicate` returns True and sets `column_flag = False`. Then it sees `foo`. `_handle_table` is called, which adds `Table.of(token)` to `self.tables`. Now here is where it gets interesting. Let's look at `sqllineage/core/models.py` to see how `Table.of` and `Column.of` are implemented. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/models.py<|"|>}<tool_call|><|tool_response>
Generated tokens 58 tokens · stopped: STOP
Let's look at `Column.of` in `sqllineage/core/models.py`.

Let's look at `Column.of` in `sqllineage/core/models.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/models.py<|"|>,start_line": 151}<tool_call|><|tool_response>
Generated tokens 80 tokens · stopped: STOP
Wait, I read the same lines again (1-150). I wanted the part that defines `Column` class. Let me search for `class Column` in `sqllineage/core/models.py`.

Wait, I read the same lines again (1-150). I wanted the part that defines `Column` class. Let me search for `class Column` in `sqllineage/core/models.py`. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "class Column" sqllineage/core/models.py<|"|>}<tool_call|><|tool_response>
Generated tokens 59 tokens · stopped: STOP
Okay, let's read `sqllineage/core/models.py` from line 163.


Okay, let's read `sqllineage/core/models.py` from line 163. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/models.py<|"|>,start_line:163}<tool_call|><|tool_response>
Generated tokens 49 tokens · stopped: STOP
And the end of `sqllineage/core/models.py`.
And the end of `sqllineage/core/models.py`.<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/models.py<|"|>,start_line:313}<tool_call|><|tool_response>
Generated tokens 52 tokens · stopped: STOP
Now let's look at `sqllineage/core/handlers/target_handler.py`.
Now let's look at `sqllineage/core/handlers/target_handler.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/handlers/target_handler.py<|"|>}<tool_call|><|tool_response>
Generated tokens 46 tokens · stopped: STOP
Ah, I might have the path wrong. Let me check the directory structure.
Ah, I might have the path wrong. Let me check the directory structure. <channel|><|tool_call>call:run_command{command:<|"|>find sqllineage/core/handlers -name "*.py"<|"|>}<tool_call|><|tool_response>
Generated tokens 70 tokens · stopped: STOP
It's `sqllineage/core/handlers/target.py`, not `target_handler.py`. Let me read `sqllineage/core/handlers/target.py`.

It's `sqllineage/core/handlers/target.py`, not `target_handler.py`. Let me read `sqllineage/core/handlers/target.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/handlers/target.py<|"|>}<tool_call|><|tool_response>
Generated tokens 43 tokens · stopped: STOP
And `sqllineage/core/handlers/source.py`.


And `sqllineage/core/handlers/source.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/handlers/source.py<|"|>}<tool_call|><|tool_response>
Generated tokens 871 tokens · stopped: STOP
Wait, `SourceHandler._handle_column` uses `Column.of(token)`.
And `SourceHandler.end_of_query_cleanup` does this:

```python
            if tgt_tbl:
                for tgt_col in col_grp:
                    tgt_col.parent = tgt_tbl
                    for src_col in tgt_col.to_source_columns(
                        self._get_alias_mapping_from_table_group(tbl_grp, holder)
                    ):
                        holder.add_column_lineage(src_col, tgt_col)
```

And `Column.to_source_columns` in `models.py`:

```python
    def to_source_columns(self, alias_mapping: Dict[str, Union[Table, SubQuery]]):
        """
        Best guess for source table given all the possible table/subquery and their alias.
        """

        def _to_src_col(name: str, parent: Union[Table, SubQuery] = None):
            col = Column(name)
            if parent:
                col.parent = parent
            return col

        source_columns = set()
        for (src_col, qualifier) in self.source_columns:
            if qualifier is None:
                if src_col == "*":
                    # select *
                    for table in set(alias_mapping.values()):
                        source_columns.add(_to_src_col(src_col, table))
                else:
                    # select unqualified column
                    src_col = _to_src_col(src_col, None)
                    for table in set(alias_mapping.values()):
                        # in case of only one table, we get the right answer
                        # in case of multiple tables, a bunch of possible tables are set
                        src_col.parent = table
                    source_columns.add(src_col)
            else:
                if alias_mapping.get(qualifier):
                    source_columns.add(
                        _to_src_col(src_col, alias_mapping.get(qualifier))
                    )
                else:
                    source_columns.add(_to_src_col(src_col, Table(qualifier)))
        return source_columns
```

In `Column.to_source_columns`, if `qualifier` is not in `alias_mapping`, it does `_to_src_col(src_col, Table(qualifier))`.
`_to_src_col` creates a `Column` and sets its `parent` to the `Table`.

The issue is that if `sql` is `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, the `TgtTable` is `foo`.
In `SourceHandler.end_of_query_cleanup`, `tgt_tbl` will be `foo`.
`col` is `col`, its `parent` is set to `foo`.
Then `col.to_source_columns(alias_mapping)` is called.
In `foo`, `col` is unqualified, so `qualifier` is `None`.
`alias_mapping` will contain `{ "foo": Table("foo") }` (or similar).
Then `src_col = _to_src_col("col", None)` is created.
Then for `table` in `alias_mapping.values()` (which is `Table("foo")`), `src_col.parent = table`.
So `src_col` is `Column("col")` with `parent = Table("foo")`.
Then `holder.add_column_lineage(src_col, tgt_col)` is called.

Now let's see what `holder.add_column_lineage` does. I need to read `sqllineage/core/holders.py`.
Wait, `SourceHandler._handle_column` uses `Column.of(token)`. And `SourceHandler.end_of_query_cleanup` does this: ```python if tgt_tbl: for tgt_col in col_grp: tgt_col.parent = tgt_tbl for src_col in tgt_col.to_source_columns( self._get_alias_mapping_from_table_group(tbl_grp, holder) ): holder.add_column_lineage(src_col, tgt_col) ``` And `Column.to_source_columns` in `models.py`: ```python def to_source_columns(self, alias_mapping: Dict[str, Union[Table, SubQuery]]): """ Best guess for source table given all the possible table/subquery and their alias. """ def _to_src_col(name: str, parent: Union[Table, SubQuery] = None): col = Column(name) if parent: col.parent = parent return col source_columns = set() for (src_col, qualifier) in self.source_columns: if qualifier is None: if src_col == "*": # select * for table in set(alias_mapping.values()): source_columns.add(_to_src_col(src_col, table)) else: # select unqualified column src_col = _to_src_col(src_col, None) for table in set(alias_mapping.values()): # in case of only one table, we get the right answer # in case of multiple tables, a bunch of possible tables are set src_col.parent = table source_columns.add(src_col) else: if alias_mapping.get(qualifier): source_columns.add( _to_src_col(src_col, alias_mapping.get(qualifier)) ) else: source_columns.add(_to_src_col(src_col, Table(qualifier))) return source_columns ``` In `Column.to_source_columns`, if `qualifier` is not in `alias_mapping`, it does `_to_src_col(src_col, Table(qualifier))`. `_to_src_col` creates a `Column` and sets its `parent` to the `Table`. The issue is that if `sql` is `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, the `TgtTable` is `foo`. In `SourceHandler.end_of_query_cleanup`, `tgt_tbl` will be `foo`. `col` is `col`, its `parent` is set to `foo`. Then `col.to_source_columns(alias_mapping)` is called. In `foo`, `col` is unqualified, so `qualifier` is `None`. `alias_mapping` will contain `{ "foo": Table("foo") }` (or similar). Then `src_col = _to_src_col("col", None)` is created. Then for `table` in `alias_mapping.values()` (which is `Table("foo")`), `src_col.parent = table`. So `src_col` is `Column("col")` with `parent = Table("foo")`. Then `holder.add_column_lineage(src_col, tgt_col)` is called. Now let's see what `holder.add_column_lineage` does. I need to read `sqllineage/core/holders.py`.<channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>}<tool_call|><|tool_response>
Generated tokens 763 tokens · stopped: STOP
Look at `add_column_lineage`:

```python
    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```

It adds edges from `tgt.parent` to `tgt` and `src.parent` to `src`.
Wait, the problem description says:
"the tool incorrectly lists the column (e.g., `<default>.foo.col`) as both a source and target table."

Wait, if `src` and `tgt` are `Column` objects, they are added as nodes in `self.graph`.
`StatementLineageHolder.read` is defined as:

```python
    @property\n    def read(self) -> Set[Table]:  # type: ignore\n        return {t for t in super().read if isinstance(t, DATASET_CLASSES)}\n```

And `super().read` is:

```python
    @property\n    def read(self) -> Set[Union[SubQuery, Table]]:\n        return self._property_getter(NodeTag.READ)\n```

 And `_property_getter` is:

```python
    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```

So for something to be in `read` or `write`, it must have `NodeTag.READ` or `NodeTag.WRITE` property set.
In `SubQueryLineageHolder`:

```python
    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    def add_write(self, value) -> None:\n        self._property_setter(value, NodeTag.WRITE)\n```

`add_column_lineage` DOES NOT call `add_read` or `add_write`. It just adds edges.

Wait, let's look at the reproduction output again.

```
Table read: [foo]
Table write: [foo]
Column lineage: [('foo.col', 'foo.col')]
```

Wait, that output is CORRECT.
Wait, I should look at the reproduction failure I saw earlier.

The user said: "incorrectly lists the column (e.g., `<default>.foo.col`) as both a source and target table."

Wait, let me run my reproduction script again to see exactly what it's outputting.
Look at `add_column_lineage`: ```python 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``` It adds edges from `tgt.parent` to `tgt` and `src.parent` to `src`. Wait, the problem description says: "the tool incorrectly lists the column (e.g., `<default>.foo.col`) as both a source and target table." Wait, if `src` and `tgt` are `Column` objects, they are added as nodes in `self.graph`. `StatementLineageHolder.read` is defined as: ```python @property\n def read(self) -> Set[Table]: # type: ignore\n return {t for t in super().read if isinstance(t, DATASET_CLASSES)}\n``` And `super().read` is: ```python @property\n def read(self) -> Set[Union[SubQuery, Table]]:\n return self._property_getter(NodeTag.READ)\n``` And `_property_getter` is: ```python 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``` So for something to be in `read` or `write`, it must have `NodeTag.READ` or `NodeTag.WRITE` property set. In `SubQueryLineageHolder`: ```python 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 def add_write(self, value) -> None:\n self._property_setter(value, NodeTag.WRITE)\n``` `add_column_lineage` DOES NOT call `add_read` or `add_write`. It just adds edges. Wait, let's look at the reproduction output again. ``` Table read: [foo] Table write: [foo] Column lineage: [('foo.col', 'foo.col')] ``` Wait, that output is CORRECT. Wait, I should look at the reproduction failure I saw earlier. The user said: "incorrectly lists the column (e.g., `<default>.foo.col`) as both a source and target table." Wait, let me run my reproduction script again to see exactly what it's outputting. <channel|><|tool_call>call:run_command{command:<|"|>python3 /tmp/repro.py<|"|>}<tool_call|><|tool_response>
Generated tokens 147 tokens · stopped: STOP
Ah, I didn't create `/tmp/repro.py` yet in this session. Let me create it.
Ah, I didn't create `/tmp/repro.py` yet in this session. Let me create it.<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY' from sqllineage.runner import LineageRunner sql = "INSERT OVERWRITE TABLE foo SELECT col FROM foo" runner = LineageRunner(sql) print(f"Table read: {runner.get_table_lineage(source=True)}") print(f"Table write: {runner.get_table_lineage(source=False)}") print(f"Column lineage: {runner.get_column_lineage()}") PY <|"|>}<tool_call|><|tool_response>
Generated tokens 62 tokens · stopped: STOP
My apologies, I used a non-existent method `get_table_lineage`.
Let me check `LineageRunner` in `sqllineage/runner.py`.
My apologies, I used a non-existent method `get_table_lineage`. Let me check `LineageRunner` in `sqllineage/runner.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>}<tool_call|><|tool_response>
Generated tokens 150 tokens · stopped: STOP
The `LineageRunner` properties are `source_tables`, `target_tables`, `intermediate_tables`, and `get_column_lineage`.
Let's try the reproduction again.

The `LineageRunner` properties are `source_tables`, `target_tables`, `intermediate_tables`, and `get_column_lineage`. Let's try the reproduction again. <channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY' from sqllineage.runner import LineageRunner sql = "INSERT OVERWRITE TABLE foo SELECT col FROM foo" runner = LineageRunner(sql) print(f"Source Tables: {runner.source_tables}") print(f"Target Tables: {runner.target_tables}") print(f"Column lineage: {runner.get_column_lineage()}") PY <|"|>}<tool_call|><|tool_response>
Generated tokens 276 tokens · stopped: STOP
AHA! Found it!
`Source Tables: [Table: <default>.foo, Column: <default>.foo.col]`
`Target Tables: [Table: <default>.foo, Column: <default>.foo.col]`
And `Column lineage: []`. This is definitely wrong.

Wait, why are `Column` objects appearing in `source_tables` and `target_tables`?
Let's check `LineageRunner.source_tables`:

```python
    @lazy_property
    def source_tables(self) -> List[Table]:
        """
        a list of source :class:`sqllineage.models.Table`
        """
        return sorted(self._sql_holder.source_tables, key=lambda x: str(x))
```

It uses `self._sql_holder.source_tables`. Let's find where `self._sql_holder` is initialized and what `source_tables` does in `SQLLineageHolder`.
LineageRunner's `_eval` method is not in the first 150 lines of `runner.py`.

AHA! Found it! `Source Tables: [Table: <default>.foo, Column: <default>.foo.col]` `Target Tables: [Table: <default>.foo, Column: <default>.foo.col]` And `Column lineage: []`. This is definitely wrong. Wait, why are `Column` objects appearing in `source_tables` and `target_tables`? Let's check `LineageRunner.source_tables`: ```python @lazy_property def source_tables(self) -> List[Table]: """ a list of source :class:`sqllineage.models.Table` """ return sorted(self._sql_holder.source_tables, key=lambda x: str(x)) ``` It uses `self._sql_holder.source_tables`. Let's find where `self._sql_holder` is initialized and what `source_tables` does in `SQLLineageHolder`. LineageRunner's `_eval` method is not in the first 150 lines of `runner.py`. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/runner.py<|"|>,start_line:151}<tool_call|><|tool_response>
Generated tokens 64 tokens · stopped: STOP
And `SQLLineageHolder` in `sqllineage/core/holders.py`. Let's read the rest of it.

And `SQLLineageHolder` in `sqllineage/core/holders.py`. Let's read the rest of it. <channel|><|tool_call>call:read_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,start_line:151}<tool_call|><|tool_response>
Generated tokens 1,638 tokens · stopped: STOP
Wait, I see the bug! Look at `SQLLineageHolder.of`:

```python
        for table in {e[0] for e in nx.selfloop_edges(g)}:
            g.nodes[table][NodeTag.SELFLOOP] = True
```

If `nx.selfloop_edges(g)` returns an edge where `e[0]` is a `Column`, then `g.nodes[table][NodeTag.SELFLOOP] = True` will be set on a `Column` object!

And then:
```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 is called by `source_tables` and `target_tables`:
```python
    @property
    def source_tables(self) -> Set[Table]:
        # ...
        source_tables |= self._selfloop_tables
        # ...
```

`_selfloop_tables` is `self.__retrieve_tag_tables(NodeTag.SELFLOOP)`.
So if a `Column` object has `NodeTag.SELFLOOP = True`, it will be included in `source_tables` and `target_tables`.

Now, why would there be a self-loop edge in `g` where the node is a `Column`?
In `SQLLineageHolder.of`:

```python
                else:
                    g.add_nodes_from(read)
                    g.add_nodes_from(write)
                    for source, target in itertools.product(read, write):
                        g.add_edge(source, target, type=EdgeType.LINEAGE)
```

Wait, `read` and `write` are from `holder.read` and `holder.write`.
In `SubQueryLineageHolder`:
`read` returns `{t for t, attr in self.graph.nodes(data=True) if attr.get(NodeTag.READ) is True}`.

Wait, let's see if a `Column` can have `NodeTag.READ` or `NodeTag.WRITE`.
`SubQueryLineageHolder.add_read` and `add_write` are called with `value`.

In `SourceHandler.end_of_query_cleanup`:
```python
        for i, tbl in enumerate(self.tables):
            holder.add_read(tbl)
```
`self.tables` contains `Table`, `SubQuery`, or `Path`.

In `TargetHandler._handle`:
```python
            holder.add_write(Table.of(token.token_first(skip_cm=True)))
            # ...
            holder.add_write(Table.of(token.left))
            holder.add_write(Table.of(token.right))
            # ...
            holder.add_write(Table.of(token))
```
All of these use `Table.of`.

So `read` and `write` sets in `SubQueryLineageHolder` only contain `Table`, `SubQuery`, or `Path`.
Therefore, `itertools.product(read, write)` only creates edges between those.

Wait, then where did the self-loop edge with a `Column` come from?
In `SubQueryLineageHolder.add_column_lineage`:
```python
    def add_column_lineage(self, src: Column, tgt: Column) -> None:
        self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE)
        self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN)
        if src.parent is not None:
            self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN)
```

If `src == tgt`, then `self.graph.add_edge(src, tgt, ...)` is a self-loop!
And `src` and `tgt` are `Column` objects.
In `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, `tgt_col` is `Column("col")` with `parent=Table("foo")`.
`tgt_col.to_source_columns` returns `src_col = Column("col")` with `parent=Table("foo")`.
Since `Column` implements `__eq__` and `__hash__` based on `str(self)`, and `str(self)` for both is `foo.col`, they are the same object (or equivalent).
So `holder.add_column_lineage(src_col, tgt_col)` adds an edge from `foo.col` to `foo.col`.

This is a self-loop!
Then `SQLLineageHolder.of` finds this self-loop and marks the node as `NodeTag.SELFLOOP`.
Since the node is a `Column`, it's incorrectly treated as a table in `source_tables` and `target_tables`.

So the fix is to ensure that only `Table` (or `DATASET_CLASSES`) are marked as `SELFLOOP`.

Let's check `SQLLineageHolder.of`'s self-loop part again.

```python
        for table in {e[0] for e in nx.selfloop_edges(g)}:
            g.nodes[table][NodeTag.SELFLOOP] = True
```

We should change it to:
```python
        for table in {e[0] for e in nx.selfloop_edges(g)}:
            if isinstance(table, DATASET_CLASSES):
                g.nodes[table][NodeTag.SELFLOOP] = True
```

Wait, let's double check `DATASET_CLASSES`.
In `holders.py`:
```python
DATASET_CLASSES = (Path, Table)
```

Yes, that's correct. Only `Path` and `Table` should be considered for table lineage. `Column` should not.

Let's verify this. If I do this, the reproduction should now show:
`Source Tables: [Table: <default>.foo]`
`Target Tables: [Table: <default>.foo]`
`Column lineage: [('foo.col', 'foo.col')]` (actually, `get_column_lineage` might still return `[]` if it's a self-loop and `all_simple_paths` behaves differently, but the table lineage will be correct).

Wait, `all_simple_paths` does not return paths with loops.
But the issue is about table and column lineage being mixed.

Let's test the fix.

Wait, I see the bug! Look at `SQLLineageHolder.of`: ```python for table in {e[0] for e in nx.selfloop_edges(g)}: g.nodes[table][NodeTag.SELFLOOP] = True ``` If `nx.selfloop_edges(g)` returns an edge where `e[0]` is a `Column`, then `g.nodes[table][NodeTag.SELFLOOP] = True` will be set on a `Column` object! And then: ```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 is called by `source_tables` and `target_tables`: ```python @property def source_tables(self) -> Set[Table]: # ... source_tables |= self._selfloop_tables # ... ``` `_selfloop_tables` is `self.__retrieve_tag_tables(NodeTag.SELFLOOP)`. So if a `Column` object has `NodeTag.SELFLOOP = True`, it will be included in `source_tables` and `target_tables`. Now, why would there be a self-loop edge in `g` where the node is a `Column`? In `SQLLineageHolder.of`: ```python else: g.add_nodes_from(read) g.add_nodes_from(write) for source, target in itertools.product(read, write): g.add_edge(source, target, type=EdgeType.LINEAGE) ``` Wait, `read` and `write` are from `holder.read` and `holder.write`. In `SubQueryLineageHolder`: `read` returns `{t for t, attr in self.graph.nodes(data=True) if attr.get(NodeTag.READ) is True}`. Wait, let's see if a `Column` can have `NodeTag.READ` or `NodeTag.WRITE`. `SubQueryLineageHolder.add_read` and `add_write` are called with `value`. In `SourceHandler.end_of_query_cleanup`: ```python for i, tbl in enumerate(self.tables): holder.add_read(tbl) ``` `self.tables` contains `Table`, `SubQuery`, or `Path`. In `TargetHandler._handle`: ```python holder.add_write(Table.of(token.token_first(skip_cm=True))) # ... holder.add_write(Table.of(token.left)) holder.add_write(Table.of(token.right)) # ... holder.add_write(Table.of(token)) ``` All of these use `Table.of`. So `read` and `write` sets in `SubQueryLineageHolder` only contain `Table`, `SubQuery`, or `Path`. Therefore, `itertools.product(read, write)` only creates edges between those. Wait, then where did the self-loop edge with a `Column` come from? In `SubQueryLineageHolder.add_column_lineage`: ```python def add_column_lineage(self, src: Column, tgt: Column) -> None: self.graph.add_edge(src, tgt, type=EdgeType.LINEAGE) self.graph.add_edge(tgt.parent, tgt, type=EdgeType.HAS_COLUMN) if src.parent is not None: self.graph.add_edge(src.parent, src, type=EdgeType.HAS_COLUMN) ``` If `src == tgt`, then `self.graph.add_edge(src, tgt, ...)` is a self-loop! And `src` and `tgt` are `Column` objects. In `INSERT OVERWRITE TABLE foo SELECT col FROM foo`, `tgt_col` is `Column("col")` with `parent=Table("foo")`. `tgt_col.to_source_columns` returns `src_col = Column("col")` with `parent=Table("foo")`. Since `Column` implements `__eq__` and `__hash__` based on `str(self)`, and `str(self)` for both is `foo.col`, they are the same object (or equivalent). So `holder.add_column_lineage(src_col, tgt_col)` adds an edge from `foo.col` to `foo.col`. This is a self-loop! Then `SQLLineageHolder.of` finds this self-loop and marks the node as `NodeTag.SELFLOOP`. Since the node is a `Column`, it's incorrectly treated as a table in `source_tables` and `target_tables`. So the fix is to ensure that only `Table` (or `DATASET_CLASSES`) are marked as `SELFLOOP`. Let's check `SQLLineageHolder.of`'s self-loop part again. ```python for table in {e[0] for e in nx.selfloop_edges(g)}: g.nodes[table][NodeTag.SELFLOOP] = True ``` We should change it to: ```python for table in {e[0] for e in nx.selfloop_edges(g)}: if isinstance(table, DATASET_CLASSES): g.nodes[table][NodeTag.SELFLOOP] = True ``` Wait, let's double check `DATASET_CLASSES`. In `holders.py`: ```python DATASET_CLASSES = (Path, Table) ``` Yes, that's correct. Only `Path` and `Table` should be considered for table lineage. `Column` should not. Let's verify this. If I do this, the reproduction should now show: `Source Tables: [Table: <default>.foo]` `Target Tables: [Table: <default>.foo]` `Column lineage: [('foo.col', 'foo.col')]` (actually, `get_column_lineage` might still return `[]` if it's a self-loop and `all_simple_paths` behaves differently, but the table lineage will be correct). Wait, `all_simple_paths` does not return paths with loops. But the issue is about table and column lineage being mixed. Let's test the fix. <channel|><|tool_call>call edit_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,new_string:<|"|> for table in {e[0] for e in nx.selfloop_edges(g)}: if isinstance(table, DATASET_CLASSES): g.nodes[table][NodeTag.SELFLOOP] = True<|"|>,old_string:<|"|> for table in {e[0] for e in nx.selfloop_edges(g)}: g.nodes[table][NodeTag.SELFLOOP] = True<|"|>}<tool_call|><|tool_response>

Patch, tests and logs

Final code change Included
Test output Included
============================= test session starts ==============================
collected 11 items

tests/test_insert.py ...........                                         [100%]

==================================== PASSES ====================================
- generated xml file: /tmp/rebench-grade-7196d301bd6d4e0b8b59d983f5c88b85.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 0.50s ==============================
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="0.499" timestamp="2026-11-14T02:53:51.331728+00:00" hostname="dafc1c488b20"><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="0.001" /><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.
  [  25.3s] 💭 (1081 chars) "The user is reporting an issue where table/column lineage is mixed up for self-dependent 
SQL.
Specifically, for the SQL:..."
  [  25.3s] 🔧 run_command (7 lines) python3 - <<'PY'
  [  26.0s]   → error (exit 0): 
  [  31.3s] 💭 (168 chars) "Ah, I used `explain()` which might not be the correct method for `LineageRunner`.
Let's check `sqllineage/runner.py` to ..."
  [  31.3s] 📖 read_file (sqllineage/runner.py)
  [  31.4s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': 'import logging\nfrom typing import 
Dict, List, Tuple\n\…
  [  36.3s] 💭 (137 chars) "The `__str__` method of `LineageRunner` produces the summary that the user reported.
So I should just print the `Lineage..."
  [  36.3s] 🔧 run_command (7 lines) python3 - <<'PY'
  [  36.5s]   → Statements(#): 1
  [  49.3s] 💭 (376 chars) "Reproduced! The output shows `<default>.foo.col` as both a source table and a target table, 
which is wrong. It should be..."
  [  49.3s] 📖 read_file (sqllineage/runner.py)
  [  49.4s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': '            
self._sql_holder.get_column_lineage(exclude…
  [  54.5s] 💭 (267 chars) "Okay, so `_eval` calls `LineageAnalyzer().analyze(stmt)` for each statement, and then 
created a `SQLLineageHolder.of(*se..."
  [  54.5s] 📖 read_file (sqllineage/core/analyzer.py)
  [  54.6s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/analyzer.py', 'content': 'from functools import 
reduce\nfrom operator impo…
  [  58.3s] 💭 (56 chars) "And let's see the rest of `sqllineage/core/analyzer.py`."
  [  58.3s] 📖 read_file (sqllineage/core/analyzer.py)
  [  58.4s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/analyzer.py', 'content': '\n    @classmethod\n    def 
_parse_subquery(\n  …
  [  63.3s] 💭 (247 chars) "The `LineageAnalyzer` uses several handlers from `sqllineage.core.handlers`.
Specifically, it iterates through `CurrentT..."
  [  63.3s] 🔧 run_command ls sqllineage/core/handlers
  [  63.3s]   → __init__.py
  [  70.3s] 💭 (194 chars) "The handlers for source tables and target tables are likely in 
`sqllineage/core/handlers/source.py` and `sqllineage/core..."
  [  70.3s] 📖 read_file (sqllineage/core/handlers/source.py)
  [  70.3s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/handlers/source.py', 'content': 'import re\nfrom typing 
import Dict, List,…
  [  73.7s] 💭 (55 chars) "Now let's look at `sqllineage/core/handlers/target.py`."
  [  73.7s] 📖 read_file (sqllineage/core/handlers/target.py)
  [  73.8s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/handlers/target.py', 'content': 'from sqlparse.sql import 
Comparison, Func…
  [  96.5s] 💭 (851 chars) "Wait, if the input is:
`INSERT OVERWRITE TABLE foo SELECT col FROM foo WHERE flag IS NOT NULL`

The `TargetHandler` will..."
  [  96.5s] 📖 read_file (sqllineage/core/models.py)
  [  96.6s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/models.py', 'content': 'import warnings\nfrom typing 
import Dict, List, Op…
  [  99.1s] 💭 (57 chars) "Let's look at `Column.of` in `sqllineage/core/models.py`."
  [  99.1s] 📖 read_file (sqllineage/core/models.py)
  [  99.1s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/models.py', 'content': 'import warnings\nfrom typing 
import Dict, List, Op…
  [ 107.5s] 💭 (154 chars) "Wait, I read the same lines again (1-150). I wanted the part that defines `Column` class. 
Let me search for `class Colum..."
  [ 107.5s] 🔧 run_command grep -n "class Column" sqllineage/core/models.py
  [ 107.6s]   → 163:class Column:
  [ 114.1s] 💭 (59 chars) "Okay, let's read `sqllineage/core/models.py` from line 163."
  [ 114.1s] 📖 read_file (sqllineage/core/models.py)
  [ 114.1s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/models.py', 'content': 'class Column:\n    def 
__init__(self, name: str, *…
  [ 118.7s] 💭 (43 chars) "And the end of `sqllineage/core/models.py`."
  [ 118.7s] 📖 read_file (sqllineage/core/models.py)
  [ 118.7s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/models.py', 'content': '        return source_columns\n\n 
def to_source…
  [ 175.4s] 💭 (63 chars) "Now let's look at `sqllineage/core/handlers/target_handler.py`."
  [ 175.4s] 📖 read_file (sqllineage/core/handlers/target_handler.py)
  [ 175.4s]   ❌ {'status': 'error', 'error_type': 'FileReadError', 'error_message': '404 Client Error for 
http+docker://localhost/v1.52/…
  [ 180.5s] 💭 (70 chars) "Ah, I might have the path wrong. Let me check the directory structure."
  [ 180.5s] 🔧 run_command find sqllineage/core/handlers -name "*.py"
  [ 180.6s]   → sqllineage/core/handlers/base.py
  [ 186.4s] 💭 (117 chars) "It's `sqllineage/core/handlers/target.py`, not `target_handler.py`. Let me read 
`sqllineage/core/handlers/target.py`."
  [ 186.4s] 📖 read_file (sqllineage/core/handlers/target.py)
  [ 186.5s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/handlers/target.py', 'content': 'from sqlparse.sql import 
Comparison, Func…
  [ 188.0s] 💭 (41 chars) "And `sqllineage/core/handlers/source.py`."
  [ 188.0s] 📖 read_file (sqllineage/core/handlers/source.py)
  [ 188.0s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/handlers/source.py', 'content': 'import re\nfrom typing 
import Dict, List,…
  [ 244.3s] 💭 (3000 chars) "Wait, `SourceHandler._handle_column` uses `Column.of(token)`.
And `SourceHandler.end_of_query_cleanup` does this:

```py..."
  [ 244.3s] 📖 read_file (sqllineage/core/holders.py)
  [ 244.4s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': 'import itertools\nfrom typing 
import Set, Tuple, …
  [ 285.1s] 💭 (2395 chars) "Look at `add_column_lineage`:

```python
    def add_column_lineage(self, src: Column, tgt: Column) -> None:\n        se..."
  [ 285.1s] 🔧 run_command python3 /tmp/repro.py
  [ 285.2s]   → error (exit 0): 
  [ 293.7s] 💭 (74 chars) "Ah, I didn't create `/tmp/repro.py` yet in this session. Let me create it."
  [ 293.7s] 🔧 run_command (9 lines) python3 - <<'PY'
  [ 293.9s]   → error (exit 0): 
  [ 298.1s] 💭 (119 chars) "My apologies, I used a non-existent method `get_table_lineage`.
Let me check `LineageRunner` in `sqllineage/runner.py`."
  [ 298.1s] 📖 read_file (sqllineage/runner.py)
  [ 298.1s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': 'import logging\nfrom typing import 
Dict, List, Tuple\n\…
  [ 307.9s] 💭 (151 chars) "The `LineageRunner` properties are `source_tables`, `target_tables`, `intermediate_tables`, 
and `get_column_lineage`.
Le..."
  [ 307.9s] 🔧 run_command (9 lines) python3 - <<'PY'
  [ 308.1s]   → Source Tables: [Table: <default>.foo, Column: <default>.foo.col]
  [ 326.4s] 💭 (785 chars) "AHA! Found it!
`Source Tables: [Table: <default>.foo, Column: <default>.foo.col]`
`Target Tables: [Table: <default>.foo,..."
  [ 326.4s] 📖 read_file (sqllineage/runner.py)
  [ 326.5s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/runner.py', 'content': '            
self._sql_holder.get_column_lineage(exclude…
  [ 329.7s] 💭 (82 chars) "And `SQLLineageHolder` in `sqllineage/core/holders.py`. Let's read the rest of it."
  [ 329.7s] 📖 read_file (sqllineage/core/holders.py)
  [ 329.7s]   ✓ {'status': 'ok', 'filepath': 'sqllineage/core/holders.py', 'content': '        """\n        The combined
lineage result …
  [ 435.3s] 💭 (4774 chars) "Wait, I see the bug! Look at `SQLLineageHolder.of`:

```python
        for table in {e[0] for e in nx.selfloop_edges(g)}..."
  [ 435.3s] ✅ Agent finished: <|tool_call>call edit_file{filepath:<|"|>sqllineage/core/holders.py<|"|>,new_string:<|"|>
for table in {e[0] for e in nx.selfloop_edges(g)}:
            if isinstance(table, DATASET_CLASSES):
 ...
Native result row
{
  "agent_error": "Agent exceeded session timeout (7.5 min)",
  "duration_seconds": 458.67,
  "error": "Empty agent patch",
  "grade": {
    "error": "Empty agent patch",
    "resolved": false,
    "strict_clean_patch": false,
    "test_exit_code": -1
  },
  "instance_id": "reata__sqllineage-224",
  "pass_idx": 0,
  "patch_chars": 0,
  "phase1_seconds": 458.67,
  "repo": "reata/sqllineage",
  "request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/reata__sqllineage-224__p0__r0.jsonl",
  "resolved": false,
  "rollout_idx": 0,
  "run_key": "reata__sqllineage-224__p0__r0",
  "strict_clean_patch": false,
  "tool_calls": 25,
  "total_llm_calls": 26,
  "trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_reata__sqllineage-224__p0__r0.json"
}