Add pre-commit CI to PyDough

.pre-commit-config.yaml

@@ -1,3 +1,6 @@
+ci:
+  autoupdate_schedule: monthly
+
 repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
     rev: v0.6.7

pydough/__init__.py

@@ -8,11 +8,11 @@
     "explain",
     "explain_structure",
     "explain_term",
+    "get_logger",
     "init_pydough_context",
     "parse_json_metadata_from_file",
     "to_df",
     "to_sql",
-    "get_logger"
 ]
 
 from .configs import PyDoughSession

pydough/logger/__init__.py

@@ -2,8 +2,6 @@
 Module of PyDough dealing with logging across the library
 """
 
-__all__ = [
-    "get_logger"
-]
+__all__ = ["get_logger"]
 
 from .logger import get_logger

pydough/sqlglot/execute_relational.py

@@ -26,7 +26,7 @@ def convert_relation_to_sql(
     relational: RelationalRoot,
     dialect: SQLGlotDialect,
     bindings: SqlGlotTransformBindings,
-    pretty_print_sql: bool = False
+    pretty_print_sql: bool = False,
 ) -> str:
     """
     Convert the given relational tree to a SQL string using the given dialect.
@@ -44,7 +44,7 @@ def convert_relation_to_sql(
     glot_expr: SQLGlotExpression = SQLGlotRelationalVisitor(
         dialect, bindings
     ).relational_to_sqlglot(relational)
-    return glot_expr.sql(dialect,pretty=pretty_print_sql)
+    return glot_expr.sql(dialect, pretty=pretty_print_sql)
 
 
 def convert_dialect_to_sqlglot(dialect: DatabaseDialect) -> SQLGlotDialect:
@@ -91,7 +91,9 @@ def execute_df(
     pretty_print_sql: bool = False
     if display_sql:
         pretty_print_sql = True
-    sql: str = convert_relation_to_sql(relational, sqlglot_dialect, bindings,pretty_print_sql)
+    sql: str = convert_relation_to_sql(
+        relational, sqlglot_dialect, bindings, pretty_print_sql
+    )
     if display_sql:
         pyd_logger = get_logger(__name__)
         pyd_logger.info(f"SQL query:\n {sql}")

pydough/sqlglot/sqlglot_relational_visitor.py

@@ -171,7 +171,7 @@ def _merge_selects(
         new_columns: list[SQLGlotExpression],
         orig_select: Select,
         deps: set[Identifier],
-        sort: bool = True
+        sort: bool = True,
     ) -> Select:
         """
         Attempt to merge a new select statement with an existing one.
@@ -195,7 +195,7 @@ def _merge_selects(
             new_columns, orig_select.expressions, deps
         )
         if sort:
-            old_exprs = sorted(old_exprs,key=repr)
+            old_exprs = sorted(old_exprs, key=repr)
         orig_select.set("expressions", old_exprs)
         if new_exprs is None:
             return orig_select
@@ -289,7 +289,7 @@ def _build_subquery(
             Select: A select statement representing the subquery.
         """
         if sort:
-            column_exprs = sorted(column_exprs,key=repr)
+            column_exprs = sorted(column_exprs, key=repr)
         return (
             Select().select(*column_exprs).from_(Subquery(this=input_expr, alias=alias))
         )

pydough/sqlglot/transform_bindings.py

@@ -505,6 +505,7 @@ def convert_ndistinct(
         this=sqlglot_expressions.Distinct(expressions=[column])
     )
 
+
 def create_convert_time_unit_function(unit: str):
     """
     Creates a function that extracts a specific time unit
@@ -517,6 +518,7 @@ def create_convert_time_unit_function(unit: str):
         A function that can convert operands into a SQLGlot expression matching
         the functionality of `EXTRACT(unit FROM expression)`.
     """
+
     def convert_time_unit(
         raw_args: Sequence[RelationalExpression] | None,
         sql_glot_args: Sequence[SQLGlotExpression],
@@ -537,35 +539,35 @@ def convert_time_unit(
             from the first operand.
         """
         return sqlglot_expressions.Extract(
-            this=sqlglot_expressions.Var(this=unit),
-            expression=sql_glot_args[0]
+            this=sqlglot_expressions.Var(this=unit), expression=sql_glot_args[0]
         )
 
     return convert_time_unit
 
+
 def convert_sqrt(
-        raw_args: Sequence[RelationalExpression] | None,
-        sql_glot_args: Sequence[SQLGlotExpression],
-    ) -> SQLGlotExpression:
+    raw_args: Sequence[RelationalExpression] | None,
+    sql_glot_args: Sequence[SQLGlotExpression],
+) -> SQLGlotExpression:
     """
-        Support for getting the square root of the operand.
+    Support for getting the square root of the operand.
 
-        Args:
-            `raw_args`: The operands passed to the function before they were converted to
-            SQLGlot expressions. (Not actively used in this implementation.)
-            `sql_glot_args`: The operands passed to the function after they were converted
-            to SQLGlot expressions.
+    Args:
+        `raw_args`: The operands passed to the function before they were converted to
+        SQLGlot expressions. (Not actively used in this implementation.)
+        `sql_glot_args`: The operands passed to the function after they were converted
+        to SQLGlot expressions.
 
-        Returns:
-            The SQLGlot expression matching the functionality of
-            `POWER(x,0.5)`,i.e the square root.
+    Returns:
+        The SQLGlot expression matching the functionality of
+        `POWER(x,0.5)`,i.e the square root.
     """
 
     return sqlglot_expressions.Pow(
-        this=sql_glot_args[0],
-        expression=sqlglot_expressions.Literal.number(0.5)
+        this=sql_glot_args[0], expression=sqlglot_expressions.Literal.number(0.5)
     )
 
+
 class SqlGlotTransformBindings:
     """
     Binding infrastructure used to associate PyDough operators with a procedure
@@ -754,8 +756,8 @@ def add_builtin_bindings(self) -> None:
         self.bind_binop(pydop.NEQ, sqlglot_expressions.NEQ)
         self.bind_binop(pydop.BAN, sqlglot_expressions.And)
         self.bind_binop(pydop.BOR, sqlglot_expressions.Or)
-        self.bind_binop(pydop.POW,sqlglot_expressions.Pow)
-        self.bind_binop(pydop.POWER,sqlglot_expressions.Pow)
+        self.bind_binop(pydop.POW, sqlglot_expressions.Pow)
+        self.bind_binop(pydop.POWER, sqlglot_expressions.Pow)
         self.bindings[pydop.SQRT] = convert_sqrt
 
         # Unary operators

tests/simple_pydough_functions.py

@@ -278,14 +278,18 @@ def hour_minute_day():
     transaction timestamps for specific ticker symbols ("AAPL","GOOGL","NFLX"),
     ordered by transaction ID in ascending order.
     """
-    return Transactions(
-        transaction_id, HOUR(date_time), MINUTE(date_time), SECOND(date_time)
-        ).WHERE(
-         ISIN(ticker.symbol,("AAPL", "GOOGL", "NFLX"))
-        ).ORDER_BY(
-        transaction_id.ASC()
+    return (
+        Transactions(
+            transaction_id, HOUR(date_time), MINUTE(date_time), SECOND(date_time)
+        )
+        .WHERE(ISIN(ticker.symbol, ("AAPL", "GOOGL", "NFLX")))
+        .ORDER_BY(transaction_id.ASC())
     )
 
+
 def exponentiation():
-    return DailyPrices(low_square = low ** 2, low_sqrt = SQRT(low),
-                        low_cbrt = POWER(low, 1/3), ).TOP_K(10, by=low_square.ASC())
+    return DailyPrices(
+        low_square=low**2,
+        low_sqrt=SQRT(low),
+        low_cbrt=POWER(low, 1 / 3),
+    ).TOP_K(10, by=low_square.ASC())

tests/test_pipeline.py

@@ -754,15 +754,26 @@ def test_pipeline_e2e_errors(
                 lambda: pd.DataFrame(
                     {
                         "transaction_id": [
-                            "TX001", "TX005", "TX011", "TX015", "TX021", "TX025", 
-                            "TX031", "TX033", "TX035", "TX044", "TX045", "TX049", 
-                            "TX051", "TX055"
+                            "TX001",
+                            "TX005",
+                            "TX011",
+                            "TX015",
+                            "TX021",
+                            "TX025",
+                            "TX031",
+                            "TX033",
+                            "TX035",
+                            "TX044",
+                            "TX045",
+                            "TX049",
+                            "TX051",
+                            "TX055",
                         ],
                         "_expr0": [9, 12, 9, 12, 9, 12, 0, 0, 0, 10, 10, 16, 0, 0],
                         "_expr1": [30, 30, 30, 30, 30, 30, 0, 0, 0, 0, 30, 0, 0, 0],
                         "_expr2": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                     }
-                )
+                ),
             ),
             id="broker_basic1",
         ),
@@ -772,22 +783,52 @@ def test_pipeline_e2e_errors(
                 "Broker",
                 lambda: pd.DataFrame(
                     {
-                        "low_square" : [6642.2500, 6740.4100, 6839.2900, 6938.8900, 7039.2100, 
-                                7140.2500, 7242.0100, 16576.5625, 16900.0000, 17292.2500],
-                        "low_sqrt" : [9.027735, 9.060905, 9.093954, 9.126883, 9.159694, 
-                                9.192388, 9.224966, 11.346806, 11.401754, 11.467345],
-                        "low_cbrt" : [4.335633, 4.346247, 4.356809, 4.367320, 4.377781, 
-                                4.388191, 4.398553, 5.049508, 5.065797, 5.085206]
+                        "low_square": [
+                            6642.2500,
+                            6740.4100,
+                            6839.2900,
+                            6938.8900,
+                            7039.2100,
+                            7140.2500,
+                            7242.0100,
+                            16576.5625,
+                            16900.0000,
+                            17292.2500,
+                        ],
+                        "low_sqrt": [
+                            9.027735,
+                            9.060905,
+                            9.093954,
+                            9.126883,
+                            9.159694,
+                            9.192388,
+                            9.224966,
+                            11.346806,
+                            11.401754,
+                            11.467345,
+                        ],
+                        "low_cbrt": [
+                            4.335633,
+                            4.346247,
+                            4.356809,
+                            4.367320,
+                            4.377781,
+                            4.388191,
+                            4.398553,
+                            5.049508,
+                            5.065797,
+                            5.085206,
+                        ],
                     }
-                )
+                ),
             ),
             id="exponentiation",
         ),
-  ],
+    ],
 )
 def custom_defog_test_data(
     request,
-) -> tuple[Callable[[], UnqualifiedNode],str,pd.DataFrame]:
+) -> tuple[Callable[[], UnqualifiedNode], str, pd.DataFrame]:
     """
     Test data for test_defog_e2e. Returns a tuple of the following
     arguments:
@@ -801,7 +842,7 @@ def custom_defog_test_data(
 
 @pytest.mark.execute
 def test_defog_e2e_with_custom_data(
-    custom_defog_test_data: tuple[Callable[[], UnqualifiedNode],str,pd.DataFrame],
+    custom_defog_test_data: tuple[Callable[[], UnqualifiedNode], str, pd.DataFrame],
     defog_graphs: graph_fetcher,
     sqlite_defog_connection: DatabaseContext,
 ):
@@ -810,7 +851,7 @@ def test_defog_e2e_with_custom_data(
     comparing against the result of running the reference SQL query text on the
     same database connector.
     """
-    unqualified_impl, graph_name ,answer_impl = custom_defog_test_data
+    unqualified_impl, graph_name, answer_impl = custom_defog_test_data
     graph: GraphMetadata = defog_graphs(graph_name)
     root: UnqualifiedNode = init_pydough_context(graph)(unqualified_impl)()
     result: pd.DataFrame = to_df(root, metadata=graph, database=sqlite_defog_connection)

tests/test_pydough_to_sql.py

@@ -72,6 +72,7 @@ def test_pydough_to_sql(
     expected_sql = expected_sql.strip()
     assert actual_sql == expected_sql
 
+
 @pytest.mark.parametrize(
     "pydough_code,expected_sql,graph_name",
     [