prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  ID sequence isn't being created for tables
  ## Description
  <!-- A clear and concise description of what the bug is. -->
  I cannot add a new record to a new table because the ID does not have a default value. I set up this table by:
  1. Importing [library_books.tsv.zip](https://github.com/centerofci/mathesar/files/10273401/library_books.tsv.zip) as "Items"
  2. Pulling "Author First Name" and "Author First Name" into an "Authors" table
  3. Moving "Author Website" to "Authors" table
  4. Pulling "Publishers" into a "Publishers" table
  5. Pulling "Title", "Publication Year", "ISBN", "Authors_id", and "Publishers_id" into a "Books" table
  
  ## Expected behavior
  <!-- A clear and concise description of what you expected to happen. -->
  I should be able to add a new record!
  
  ## To Reproduce
  <!-- How can we recreate this bug? Please try to provide a Minimal, Complete, and Verifiable (http://stackoverflow.com/help/mcve) example if code-related. -->
  ~Try adding a new record on https://library.mathesar.org/mathesar_tables/4/tables/34/~
  
  I needed to nuke this table since it was blocking my work. To reproduce, follow the steps under Description.
  
  ## Additional context
  <!-- Add any other context about the problem or screenshots here. -->
  This seems related to
  - #2116 
  - #1356 
  
  
  --- 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         remainder_table_oid = get_oid_from_table(remainder_table_with_fk_column.name, schema, engine)
  93         deletion_column_data = [
  94             {'attnum': column_attnum, 'delete': True}
  95             for column_attnum in extracted_column_attnums
  96         ]
  97         batch_alter_table_drop_columns(remainder_table_oid, deletion_column_data, conn, engine)
  98     return extracted_table, remainder_table_with_fk_column, fk_column_name
  99
  ```
  --- 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
  @@ -89,6 +89,8 @@
               fk_column_name,
           )
           conn.execute(split_ins)
  +        update_pk_sequence_to_latest(conn, engine, extracted_table)
  +
           remainder_table_oid = get_oid_from_table(remainder_table_with_fk_column.name, schema, engine)
           deletion_column_data = [
               {'attnum': column_attnum, 'delete': True}
  @@ -96,3 +98,28 @@
           ]
           batch_alter_table_drop_columns(remainder_table_oid, deletion_column_data, conn, engine)
       return extracted_table, remainder_table_with_fk_column, fk_column_name
  +
  +
  +def update_pk_sequence_to_latest(conn, engine, extracted_table):
  +    _preparer = engine.dialect.identifier_preparer
  +    quoted_table_name = _preparer.quote(extracted_table.schema) + "." + _preparer.quote(extracted_table.name)
  +    update_pk_sequence_stmt = func.setval(
  +        # `pg_get_serial_sequence needs a string of the Table name
  +        func.pg_get_serial_sequence(
  +            quoted_table_name,
  +            extracted_table.c[constants.ID].name
  +        ),
  +        # If the table can be empty, start from 1 instead of using Null
  +        func.coalesce(
  +            func.max(extracted_table.c[constants.ID]) + 1,
  +            1
  +        ),
  +        # Set the sequence to use the last value of the sequence
  +        # Setting is_called field to false, meaning that the next nextval will not advance the sequence before returning a value.
  +        # We need to do it as our default coalesce value is 1 instead of 0
  +        # Refer the postgres docs https://www.postgresql.org/docs/current/functions-sequence.html
  +        False
  +    )
  +    conn.execute(
  +        select(update_pk_sequence_stmt)
  +    )
  
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@@ -89,6 +89,8 @@\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@@ -96,3 +98,28 @@\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+\n+def 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", "issue": "ID sequence isn't being created for tables\n## Description\r\n<!-- A clear and concise description of what the bug is. -->\r\nI cannot add a new record to a new table because the ID does not have a default value. I set up this table by:\r\n1. Importing [library_books.tsv.zip](https://github.com/centerofci/mathesar/files/10273401/library_books.tsv.zip) as \"Items\"\r\n2. Pulling \"Author First Name\" and \"Author First Name\" into an \"Authors\" table\r\n3. Moving \"Author Website\" to \"Authors\" table\r\n4. Pulling \"Publishers\" into a \"Publishers\" table\r\n5. Pulling \"Title\", \"Publication Year\", \"ISBN\", \"Authors_id\", and \"Publishers_id\" into a \"Books\" table\r\n\r\n## Expected behavior\r\n<!-- A clear and concise description of what you expected to happen. -->\r\nI should be able to add a new record!\r\n\r\n## To Reproduce\r\n<!-- How can we recreate this bug? Please try to provide a Minimal, Complete, and Verifiable (http://stackoverflow.com/help/mcve) example if code-related. -->\r\n~Try adding a new record on https://library.mathesar.org/mathesar_tables/4/tables/34/~\r\n\r\nI needed to nuke this table since it was blocking my work. To reproduce, follow the steps under Description.\r\n\r\n## Additional context\r\n<!-- Add any other context about the problem or screenshots here. -->\r\nThis seems related to\r\n- #2116 \r\n- #1356 \r\n\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        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", "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\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"}]}