prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Don't validate for existing column names if they're being moved
  <img width="905" alt="Screen Shot 2022-12-21 at 6 02 20 PM" src="https://user-images.githubusercontent.com/287034/209019919-a8dd4cab-4ce9-4c85-8956-3163409e713b.png">
  
  We're removing the `Publisher` column here, so it's okay that the replacement column will be named `Publisher`.
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `db/tables/operations/split.py`
  Content:
  ```
  1 from sqlalchemy import exists, func, literal, select
  2 
  3 from db import constants
  4 from db.columns.base import MathesarColumn
  5 from db.columns.operations.alter import batch_alter_table_drop_columns
  6 from db.columns.operations.select import get_column_names_from_attnums
  7 from db.links.operations.create import create_foreign_key_link
  8 from db.tables.operations.create import create_mathesar_table
  9 from db.tables.operations.select import get_oid_from_table, reflect_table, reflect_table_from_oid
  10 from db.metadata import get_empty_metadata
  11 
  12 
  13 def _create_split_tables(extracted_table_name, extracted_columns, remainder_table_name, schema, engine, fk_column_name=None):
  14     extracted_table = create_mathesar_table(
  15         extracted_table_name,
  16         schema,
  17         extracted_columns,
  18         engine,
  19     )
  20     fk_column_name = fk_column_name if fk_column_name else f"{extracted_table.name}_{constants.ID}"
  21     remainder_table_oid = get_oid_from_table(remainder_table_name, schema, engine)
  22     extracted_table_oid = get_oid_from_table(extracted_table_name, schema, engine)
  23     create_foreign_key_link(engine, schema, fk_column_name, remainder_table_oid, extracted_table_oid)
  24     # TODO reuse metadata
  25     remainder_table_with_fk_key = reflect_table(remainder_table_name, schema, engine, metadata=get_empty_metadata())
  26     return extracted_table, remainder_table_with_fk_key, fk_column_name
  27 
  28 
  29 def _create_split_insert_stmt(old_table, extracted_table, extracted_columns, remainder_fk_name):
  30     SPLIT_ID = f"{constants.MATHESAR_PREFIX}_split_column_alias"
  31     extracted_column_names = [col.name for col in extracted_columns]
  32     split_cte = select(
  33         [
  34             old_table,
  35             func.dense_rank().over(order_by=extracted_columns).label(SPLIT_ID)
  36         ]
  37     ).cte()
  38     cte_extraction_columns = (
  39         [split_cte.columns[SPLIT_ID]]
  40         + [split_cte.columns[n] for n in extracted_column_names]
  41     )
  42     extract_sel = select(
  43         cte_extraction_columns,
  44         distinct=True
  45     )
  46     extract_ins_cte = (
  47         extracted_table
  48         .insert()
  49         .from_select([constants.ID] + extracted_column_names, extract_sel)
  50         .returning(literal(1))
  51         .cte()
  52     )
  53     fk_update_dict = {remainder_fk_name: split_cte.c[SPLIT_ID]}
  54     split_ins = (
  55         old_table
  56         .update().values(**fk_update_dict).
  57         where(old_table.c[constants.ID] == split_cte.c[constants.ID],
  58               exists(extract_ins_cte.select()))
  59     )
  60     return split_ins
  61 
  62 
  63 def extract_columns_from_table(old_table_oid, extracted_column_attnums, extracted_table_name, schema, engine, relationship_fk_column_name=None):
  64     # TODO reuse metadata
  65     old_table = reflect_table_from_oid(old_table_oid, engine, metadata=get_empty_metadata())
  66     old_table_name = old_table.name
  67     old_columns = (MathesarColumn.from_column(col) for col in old_table.columns)
  68     old_non_default_columns = [
  69         col for col in old_columns if not col.is_default
  70     ]
  71     # TODO reuse metadata
  72     extracted_column_names = get_column_names_from_attnums(old_table_oid, extracted_column_attnums, engine, metadata=get_empty_metadata())
  73     extracted_columns = [
  74         col for col in old_non_default_columns if col.name in extracted_column_names
  75     ]
  76     with engine.begin() as conn:
  77         extracted_table, remainder_table_with_fk_column, fk_column_name = _create_split_tables(
  78             extracted_table_name,
  79             extracted_columns,
  80             old_table_name,
  81             schema,
  82             engine,
  83             relationship_fk_column_name
  84         )
  85         split_ins = _create_split_insert_stmt(
  86             remainder_table_with_fk_column,
  87             extracted_table,
  88             extracted_columns,
  89             fk_column_name,
  90         )
  91         conn.execute(split_ins)
  92         update_pk_sequence_to_latest(conn, engine, extracted_table)
  93 
  94         remainder_table_oid = get_oid_from_table(remainder_table_with_fk_column.name, schema, engine)
  95         deletion_column_data = [
  96             {'attnum': column_attnum, 'delete': True}
  97             for column_attnum in extracted_column_attnums
  98         ]
  99         batch_alter_table_drop_columns(remainder_table_oid, deletion_column_data, conn, engine)
  100     return extracted_table, remainder_table_with_fk_column, fk_column_name
  101 
  102 
  103 def update_pk_sequence_to_latest(conn, engine, extracted_table):
  104     _preparer = engine.dialect.identifier_preparer
  105     quoted_table_name = _preparer.quote(extracted_table.schema) + "." + _preparer.quote(extracted_table.name)
  106     update_pk_sequence_stmt = func.setval(
  107         # `pg_get_serial_sequence needs a string of the Table name
  108         func.pg_get_serial_sequence(
  109             quoted_table_name,
  110             extracted_table.c[constants.ID].name
  111         ),
  112         # If the table can be empty, start from 1 instead of using Null
  113         func.coalesce(
  114             func.max(extracted_table.c[constants.ID]) + 1,
  115             1
  116         ),
  117         # Set the sequence to use the last value of the sequence
  118         # Setting is_called field to false, meaning that the next nextval will not advance the sequence before returning a value.
  119         # We need to do it as our default coalesce value is 1 instead of 0
  120         # Refer the postgres docs https://www.postgresql.org/docs/current/functions-sequence.html
  121         False
  122     )
  123     conn.execute(
  124         select(update_pk_sequence_stmt)
  125     )
  126
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/db/tables/operations/split.py b/db/tables/operations/split.py
  --- a/db/tables/operations/split.py
  +++ b/db/tables/operations/split.py
  @@ -2,8 +2,11 @@
   
   from db import constants
   from db.columns.base import MathesarColumn
  -from db.columns.operations.alter import batch_alter_table_drop_columns
  -from db.columns.operations.select import get_column_names_from_attnums
  +from db.columns.operations.alter import batch_alter_table_drop_columns, rename_column
  +from db.columns.operations.select import (
  +    get_column_attnum_from_name,
  +    get_column_names_from_attnums,
  +)
   from db.links.operations.create import create_foreign_key_link
   from db.tables.operations.create import create_mathesar_table
   from db.tables.operations.select import get_oid_from_table, reflect_table, reflect_table_from_oid
  @@ -18,6 +21,11 @@
           engine,
       )
       fk_column_name = fk_column_name if fk_column_name else f"{extracted_table.name}_{constants.ID}"
  +    extracted_column_names = [
  +        col.name for col in extracted_columns
  +    ]
  +    if fk_column_name in extracted_column_names:
  +        fk_column_name = f"mathesar_temp_{fk_column_name}"
       remainder_table_oid = get_oid_from_table(remainder_table_name, schema, engine)
       extracted_table_oid = get_oid_from_table(extracted_table_name, schema, engine)
       create_foreign_key_link(engine, schema, fk_column_name, remainder_table_oid, extracted_table_oid)
  @@ -97,6 +105,9 @@
               for column_attnum in extracted_column_attnums
           ]
           batch_alter_table_drop_columns(remainder_table_oid, deletion_column_data, conn, engine)
  +        fk_column_attnum = get_column_attnum_from_name(remainder_table_oid, fk_column_name, engine, get_empty_metadata())
  +        if relationship_fk_column_name != fk_column_name:
  +            rename_column(remainder_table_oid, fk_column_attnum, engine, conn, relationship_fk_column_name)
       return extracted_table, remainder_table_with_fk_column, fk_column_name
  
verification_info: {"golden_diff": "diff --git a/db/tables/operations/split.py b/db/tables/operations/split.py\n--- a/db/tables/operations/split.py\n+++ b/db/tables/operations/split.py\n@@ -2,8 +2,11 @@\n \n from db import constants\n from db.columns.base import MathesarColumn\n-from db.columns.operations.alter import batch_alter_table_drop_columns\n-from db.columns.operations.select import get_column_names_from_attnums\n+from db.columns.operations.alter import batch_alter_table_drop_columns, rename_column\n+from db.columns.operations.select import (\n+    get_column_attnum_from_name,\n+    get_column_names_from_attnums,\n+)\n from db.links.operations.create import create_foreign_key_link\n from db.tables.operations.create import create_mathesar_table\n from db.tables.operations.select import get_oid_from_table, reflect_table, reflect_table_from_oid\n@@ -18,6 +21,11 @@\n         engine,\n     )\n     fk_column_name = fk_column_name if fk_column_name else f\"{extracted_table.name}_{constants.ID}\"\n+    extracted_column_names = [\n+        col.name for col in extracted_columns\n+    ]\n+    if fk_column_name in extracted_column_names:\n+        fk_column_name = f\"mathesar_temp_{fk_column_name}\"\n     remainder_table_oid = get_oid_from_table(remainder_table_name, schema, engine)\n     extracted_table_oid = get_oid_from_table(extracted_table_name, schema, engine)\n     create_foreign_key_link(engine, schema, fk_column_name, remainder_table_oid, extracted_table_oid)\n@@ -97,6 +105,9 @@\n             for column_attnum in extracted_column_attnums\n         ]\n         batch_alter_table_drop_columns(remainder_table_oid, deletion_column_data, conn, engine)\n+        fk_column_attnum = get_column_attnum_from_name(remainder_table_oid, fk_column_name, engine, get_empty_metadata())\n+        if relationship_fk_column_name != fk_column_name:\n+            rename_column(remainder_table_oid, fk_column_attnum, engine, conn, relationship_fk_column_name)\n     return extracted_table, remainder_table_with_fk_column, fk_column_name\n", "issue": "Don't validate for existing column names if they're being moved\n<img width=\"905\" alt=\"Screen Shot 2022-12-21 at 6 02 20 PM\" src=\"https://user-images.githubusercontent.com/287034/209019919-a8dd4cab-4ce9-4c85-8956-3163409e713b.png\">\r\n\r\nWe're removing the `Publisher` column here, so it's okay that the replacement column will be named `Publisher`.\n", "before_files": [{"content": "from sqlalchemy import exists, func, literal, select\n\nfrom db import constants\nfrom db.columns.base import MathesarColumn\nfrom db.columns.operations.alter import batch_alter_table_drop_columns\nfrom db.columns.operations.select import get_column_names_from_attnums\nfrom db.links.operations.create import create_foreign_key_link\nfrom db.tables.operations.create import create_mathesar_table\nfrom db.tables.operations.select import get_oid_from_table, reflect_table, reflect_table_from_oid\nfrom db.metadata import get_empty_metadata\n\n\ndef _create_split_tables(extracted_table_name, extracted_columns, remainder_table_name, schema, engine, fk_column_name=None):\n    extracted_table = create_mathesar_table(\n        extracted_table_name,\n        schema,\n        extracted_columns,\n        engine,\n    )\n    fk_column_name = fk_column_name if fk_column_name else f\"{extracted_table.name}_{constants.ID}\"\n    remainder_table_oid = get_oid_from_table(remainder_table_name, schema, engine)\n    extracted_table_oid = get_oid_from_table(extracted_table_name, schema, engine)\n    create_foreign_key_link(engine, schema, fk_column_name, remainder_table_oid, extracted_table_oid)\n    # TODO reuse metadata\n    remainder_table_with_fk_key = reflect_table(remainder_table_name, schema, engine, metadata=get_empty_metadata())\n    return extracted_table, remainder_table_with_fk_key, fk_column_name\n\n\ndef _create_split_insert_stmt(old_table, extracted_table, extracted_columns, remainder_fk_name):\n    SPLIT_ID = f\"{constants.MATHESAR_PREFIX}_split_column_alias\"\n    extracted_column_names = [col.name for col in extracted_columns]\n    split_cte = select(\n        [\n            old_table,\n            func.dense_rank().over(order_by=extracted_columns).label(SPLIT_ID)\n        ]\n    ).cte()\n    cte_extraction_columns = (\n        [split_cte.columns[SPLIT_ID]]\n        + [split_cte.columns[n] for n in extracted_column_names]\n    )\n    extract_sel = select(\n        cte_extraction_columns,\n        distinct=True\n    )\n    extract_ins_cte = (\n        extracted_table\n        .insert()\n        .from_select([constants.ID] + extracted_column_names, extract_sel)\n        .returning(literal(1))\n        .cte()\n    )\n    fk_update_dict = {remainder_fk_name: split_cte.c[SPLIT_ID]}\n    split_ins = (\n        old_table\n        .update().values(**fk_update_dict).\n        where(old_table.c[constants.ID] == split_cte.c[constants.ID],\n              exists(extract_ins_cte.select()))\n    )\n    return split_ins\n\n\ndef extract_columns_from_table(old_table_oid, extracted_column_attnums, extracted_table_name, schema, engine, relationship_fk_column_name=None):\n    # TODO reuse metadata\n    old_table = reflect_table_from_oid(old_table_oid, engine, metadata=get_empty_metadata())\n    old_table_name = old_table.name\n    old_columns = (MathesarColumn.from_column(col) for col in old_table.columns)\n    old_non_default_columns = [\n        col for col in old_columns if not col.is_default\n    ]\n    # TODO reuse metadata\n    extracted_column_names = get_column_names_from_attnums(old_table_oid, extracted_column_attnums, engine, metadata=get_empty_metadata())\n    extracted_columns = [\n        col for col in old_non_default_columns if col.name in extracted_column_names\n    ]\n    with engine.begin() as conn:\n        extracted_table, remainder_table_with_fk_column, fk_column_name = _create_split_tables(\n            extracted_table_name,\n            extracted_columns,\n            old_table_name,\n            schema,\n            engine,\n            relationship_fk_column_name\n        )\n        split_ins = _create_split_insert_stmt(\n            remainder_table_with_fk_column,\n            extracted_table,\n            extracted_columns,\n            fk_column_name,\n        )\n        conn.execute(split_ins)\n        update_pk_sequence_to_latest(conn, engine, extracted_table)\n\n        remainder_table_oid = get_oid_from_table(remainder_table_with_fk_column.name, schema, engine)\n        deletion_column_data = [\n            {'attnum': column_attnum, 'delete': True}\n            for column_attnum in extracted_column_attnums\n        ]\n        batch_alter_table_drop_columns(remainder_table_oid, deletion_column_data, conn, engine)\n    return extracted_table, remainder_table_with_fk_column, fk_column_name\n\n\ndef update_pk_sequence_to_latest(conn, engine, extracted_table):\n    _preparer = engine.dialect.identifier_preparer\n    quoted_table_name = _preparer.quote(extracted_table.schema) + \".\" + _preparer.quote(extracted_table.name)\n    update_pk_sequence_stmt = func.setval(\n        # `pg_get_serial_sequence needs a string of the Table name\n        func.pg_get_serial_sequence(\n            quoted_table_name,\n            extracted_table.c[constants.ID].name\n        ),\n        # If the table can be empty, start from 1 instead of using Null\n        func.coalesce(\n            func.max(extracted_table.c[constants.ID]) + 1,\n            1\n        ),\n        # Set the sequence to use the last value of the sequence\n        # Setting is_called field to false, meaning that the next nextval will not advance the sequence before returning a value.\n        # We need to do it as our default coalesce value is 1 instead of 0\n        # Refer the postgres docs https://www.postgresql.org/docs/current/functions-sequence.html\n        False\n    )\n    conn.execute(\n        select(update_pk_sequence_stmt)\n    )\n", "path": "db/tables/operations/split.py"}], "after_files": [{"content": "from sqlalchemy import exists, func, literal, select\n\nfrom db import constants\nfrom db.columns.base import MathesarColumn\nfrom db.columns.operations.alter import batch_alter_table_drop_columns, rename_column\nfrom db.columns.operations.select import (\n    get_column_attnum_from_name,\n    get_column_names_from_attnums,\n)\nfrom db.links.operations.create import create_foreign_key_link\nfrom db.tables.operations.create import create_mathesar_table\nfrom db.tables.operations.select import get_oid_from_table, reflect_table, reflect_table_from_oid\nfrom db.metadata import get_empty_metadata\n\n\ndef _create_split_tables(extracted_table_name, extracted_columns, remainder_table_name, schema, engine, fk_column_name=None):\n    extracted_table = create_mathesar_table(\n        extracted_table_name,\n        schema,\n        extracted_columns,\n        engine,\n    )\n    fk_column_name = fk_column_name if fk_column_name else f\"{extracted_table.name}_{constants.ID}\"\n    extracted_column_names = [\n        col.name for col in extracted_columns\n    ]\n    if fk_column_name in extracted_column_names:\n        fk_column_name = f\"mathesar_temp_{fk_column_name}\"\n    remainder_table_oid = get_oid_from_table(remainder_table_name, schema, engine)\n    extracted_table_oid = get_oid_from_table(extracted_table_name, schema, engine)\n    create_foreign_key_link(engine, schema, fk_column_name, remainder_table_oid, extracted_table_oid)\n    # TODO reuse metadata\n    remainder_table_with_fk_key = reflect_table(remainder_table_name, schema, engine, metadata=get_empty_metadata())\n    return extracted_table, remainder_table_with_fk_key, fk_column_name\n\n\ndef _create_split_insert_stmt(old_table, extracted_table, extracted_columns, remainder_fk_name):\n    SPLIT_ID = f\"{constants.MATHESAR_PREFIX}_split_column_alias\"\n    extracted_column_names = [col.name for col in extracted_columns]\n    split_cte = select(\n        [\n            old_table,\n            func.dense_rank().over(order_by=extracted_columns).label(SPLIT_ID)\n        ]\n    ).cte()\n    cte_extraction_columns = (\n        [split_cte.columns[SPLIT_ID]]\n        + [split_cte.columns[n] for n in extracted_column_names]\n    )\n    extract_sel = select(\n        cte_extraction_columns,\n        distinct=True\n    )\n    extract_ins_cte = (\n        extracted_table\n        .insert()\n        .from_select([constants.ID] + extracted_column_names, extract_sel)\n        .returning(literal(1))\n        .cte()\n    )\n    fk_update_dict = {remainder_fk_name: split_cte.c[SPLIT_ID]}\n    split_ins = (\n        old_table\n        .update().values(**fk_update_dict).\n        where(old_table.c[constants.ID] == split_cte.c[constants.ID],\n              exists(extract_ins_cte.select()))\n    )\n    return split_ins\n\n\ndef extract_columns_from_table(old_table_oid, extracted_column_attnums, extracted_table_name, schema, engine, relationship_fk_column_name=None):\n    # TODO reuse metadata\n    old_table = reflect_table_from_oid(old_table_oid, engine, metadata=get_empty_metadata())\n    old_table_name = old_table.name\n    old_columns = (MathesarColumn.from_column(col) for col in old_table.columns)\n    old_non_default_columns = [\n        col for col in old_columns if not col.is_default\n    ]\n    # TODO reuse metadata\n    extracted_column_names = get_column_names_from_attnums(old_table_oid, extracted_column_attnums, engine, metadata=get_empty_metadata())\n    extracted_columns = [\n        col for col in old_non_default_columns if col.name in extracted_column_names\n    ]\n    with engine.begin() as conn:\n        extracted_table, remainder_table_with_fk_column, fk_column_name = _create_split_tables(\n            extracted_table_name,\n            extracted_columns,\n            old_table_name,\n            schema,\n            engine,\n            relationship_fk_column_name\n        )\n        split_ins = _create_split_insert_stmt(\n            remainder_table_with_fk_column,\n            extracted_table,\n            extracted_columns,\n            fk_column_name,\n        )\n        conn.execute(split_ins)\n        update_pk_sequence_to_latest(conn, engine, extracted_table)\n\n        remainder_table_oid = get_oid_from_table(remainder_table_with_fk_column.name, schema, engine)\n        deletion_column_data = [\n            {'attnum': column_attnum, 'delete': True}\n            for column_attnum in extracted_column_attnums\n        ]\n        batch_alter_table_drop_columns(remainder_table_oid, deletion_column_data, conn, engine)\n        fk_column_attnum = get_column_attnum_from_name(remainder_table_oid, fk_column_name, engine, get_empty_metadata())\n        if relationship_fk_column_name != fk_column_name:\n            rename_column(remainder_table_oid, fk_column_attnum, engine, conn, relationship_fk_column_name)\n    return extracted_table, remainder_table_with_fk_column, fk_column_name\n\n\ndef update_pk_sequence_to_latest(conn, engine, extracted_table):\n    _preparer = engine.dialect.identifier_preparer\n    quoted_table_name = _preparer.quote(extracted_table.schema) + \".\" + _preparer.quote(extracted_table.name)\n    update_pk_sequence_stmt = func.setval(\n        # `pg_get_serial_sequence needs a string of the Table name\n        func.pg_get_serial_sequence(\n            quoted_table_name,\n            extracted_table.c[constants.ID].name\n        ),\n        # If the table can be empty, start from 1 instead of using Null\n        func.coalesce(\n            func.max(extracted_table.c[constants.ID]) + 1,\n            1\n        ),\n        # Set the sequence to use the last value of the sequence\n        # Setting is_called field to false, meaning that the next nextval will not advance the sequence before returning a value.\n        # We need to do it as our default coalesce value is 1 instead of 0\n        # Refer the postgres docs https://www.postgresql.org/docs/current/functions-sequence.html\n        False\n    )\n    conn.execute(\n        select(update_pk_sequence_stmt)\n    )\n", "path": "db/tables/operations/split.py"}]}