feat: add extensible operators and golden flows

This commit is contained in:
2026-07-29 15:50:15 +02:00
parent 09c98087c5
commit 946202ef01
27 changed files with 3584 additions and 218 deletions
@@ -0,0 +1,426 @@
from __future__ import annotations
from dataclasses import dataclass
from decimal import Decimal
from typing import Any, Literal
import sqlglot
from sqlglot import exp
from sqlglot.errors import ParseError
ExpressionDataType = Literal[
"unknown",
"null",
"string",
"integer",
"number",
"boolean",
"date",
"datetime",
]
class ExpressionError(ValueError):
pass
@dataclass(frozen=True, slots=True)
class ParsedExpression:
source: str
expression: exp.Expression
columns: tuple[str, ...]
def sql(self) -> str:
return self.expression.sql(dialect="duckdb")
_LEAF_TYPES = (
exp.Column,
exp.Identifier,
exp.Literal,
exp.Null,
exp.Boolean,
exp.DataType,
)
_BINARY_TYPES = (
exp.Add,
exp.Sub,
exp.Mul,
exp.Div,
exp.Mod,
exp.EQ,
exp.NEQ,
exp.GT,
exp.GTE,
exp.LT,
exp.LTE,
exp.And,
exp.Or,
exp.Is,
)
_UNARY_TYPES = (exp.Not, exp.Neg, exp.Paren)
_FUNCTION_TYPES = (
exp.Lower,
exp.Upper,
exp.Trim,
exp.Coalesce,
exp.Concat,
exp.Length,
exp.Abs,
exp.Round,
exp.Replace,
exp.Substring,
exp.Cast,
)
_CONTROL_TYPES = (exp.Case, exp.If)
_ALLOWED_TYPES = (
*_LEAF_TYPES,
*_BINARY_TYPES,
*_UNARY_TYPES,
*_FUNCTION_TYPES,
*_CONTROL_TYPES,
)
def parse_expression(source: str) -> ParsedExpression:
normalized = str(source or "").strip()
if not normalized:
raise ExpressionError("Enter an expression.")
if len(normalized) > 10_000:
raise ExpressionError("Expressions are limited to 10,000 characters.")
try:
expression = sqlglot.parse_one(normalized, read="duckdb")
except ParseError as exc:
raise ExpressionError(f"Expression could not be parsed: {exc}") from exc
for item in expression.walk():
if not isinstance(item, _ALLOWED_TYPES):
raise ExpressionError(
f"Expression element {type(item).__name__} is not allowed."
)
if isinstance(item, exp.Column) and item.table:
raise ExpressionError("Expressions use column names without table qualifiers.")
if isinstance(item, exp.Cast):
_cast_type(item)
columns = tuple(
dict.fromkeys(
column.name
for column in expression.find_all(exp.Column)
if column.name
)
)
return ParsedExpression(
source=normalized,
expression=expression,
columns=columns,
)
def evaluate_expression(
parsed: ParsedExpression | str,
row: dict[str, Any],
) -> Any:
expression = (
parse_expression(parsed).expression
if isinstance(parsed, str)
else parsed.expression
)
return _evaluate(expression, row)
def infer_expression_type(
parsed: ParsedExpression | str,
schema: dict[str, ExpressionDataType] | None = None,
) -> ExpressionDataType:
expression = (
parse_expression(parsed).expression
if isinstance(parsed, str)
else parsed.expression
)
return _infer(expression, schema or {})
def _evaluate(expression: exp.Expression, row: dict[str, Any]) -> Any:
if isinstance(expression, exp.Paren):
return _evaluate(expression.this, row)
if isinstance(expression, exp.Column):
return row.get(expression.name)
if isinstance(expression, exp.Null):
return None
if isinstance(expression, exp.Boolean):
return bool(expression.this)
if isinstance(expression, exp.Literal):
return _literal(expression)
if isinstance(expression, exp.Neg):
value = _evaluate(expression.this, row)
return None if value is None else -value
if isinstance(expression, exp.Not):
return not bool(_evaluate(expression.this, row))
if isinstance(expression, exp.And):
return bool(_evaluate(expression.this, row)) and bool(
_evaluate(expression.expression, row)
)
if isinstance(expression, exp.Or):
return bool(_evaluate(expression.this, row)) or bool(
_evaluate(expression.expression, row)
)
if isinstance(expression, exp.Is):
left = _evaluate(expression.this, row)
right = _evaluate(expression.expression, row)
return left is right if right is None else left == right
if isinstance(expression, (exp.Add, exp.Sub, exp.Mul, exp.Div, exp.Mod)):
left = _evaluate(expression.this, row)
right = _evaluate(expression.expression, row)
if left is None or right is None:
return None
if isinstance(expression, exp.Add):
return left + right
if isinstance(expression, exp.Sub):
return left - right
if isinstance(expression, exp.Mul):
return left * right
if isinstance(expression, exp.Div):
return left / right
return left % right
if isinstance(expression, (exp.EQ, exp.NEQ, exp.GT, exp.GTE, exp.LT, exp.LTE)):
left = _evaluate(expression.this, row)
right = _evaluate(expression.expression, row)
if isinstance(expression, exp.EQ):
return left == right
if isinstance(expression, exp.NEQ):
return left != right
if left is None or right is None:
return False
if isinstance(expression, exp.GT):
return left > right
if isinstance(expression, exp.GTE):
return left >= right
if isinstance(expression, exp.LT):
return left < right
return left <= right
if isinstance(expression, exp.Lower):
return _string_call(expression.this, row, str.lower)
if isinstance(expression, exp.Upper):
return _string_call(expression.this, row, str.upper)
if isinstance(expression, exp.Trim):
return _string_call(expression.this, row, str.strip)
if isinstance(expression, exp.Length):
value = _evaluate(expression.this, row)
return None if value is None else len(value)
if isinstance(expression, exp.Abs):
value = _evaluate(expression.this, row)
return None if value is None else abs(value)
if isinstance(expression, exp.Round):
value = _evaluate(expression.this, row)
decimals = expression.args.get("decimals")
places = int(_evaluate(decimals, row)) if decimals is not None else 0
return None if value is None else round(value, places)
if isinstance(expression, exp.Coalesce):
arguments = [expression.this, *expression.expressions]
return next(
(
value
for argument in arguments
if (value := _evaluate(argument, row)) is not None
),
None,
)
if isinstance(expression, exp.Concat):
return "".join(
"" if (value := _evaluate(item, row)) is None else str(value)
for item in expression.expressions
)
if isinstance(expression, exp.Replace):
value = _evaluate(expression.this, row)
old = _evaluate(expression.expression, row)
new = _evaluate(expression.args["replacement"], row)
return None if value is None else str(value).replace(str(old), str(new))
if isinstance(expression, exp.Substring):
value = _evaluate(expression.this, row)
if value is None:
return None
start = int(_evaluate(expression.args["start"], row)) - 1
length = expression.args.get("length")
return (
str(value)[start:]
if length is None
else str(value)[start : start + int(_evaluate(length, row))]
)
if isinstance(expression, exp.Cast):
return convert_value(
_evaluate(expression.this, row),
_cast_type(expression),
on_error="fail",
)
if isinstance(expression, exp.Case):
base = _evaluate(expression.this, row) if expression.this is not None else None
for condition in expression.args.get("ifs") or []:
if not isinstance(condition, exp.If):
continue
candidate = _evaluate(condition.this, row)
matched = candidate == base if expression.this is not None else bool(candidate)
if matched:
return _evaluate(condition.args["true"], row)
default = expression.args.get("default")
return _evaluate(default, row) if default is not None else None
raise ExpressionError(
f"Expression element {type(expression).__name__} cannot be evaluated."
)
def convert_value(
value: Any,
target_type: str,
*,
on_error: Literal["fail", "null", "keep"] = "fail",
) -> Any:
if value is None:
return None
try:
if target_type == "string":
return str(value)
if target_type == "integer":
if isinstance(value, bool):
return int(value)
return int(str(value).strip())
if target_type == "number":
return Decimal(str(value).strip())
if target_type == "boolean":
if isinstance(value, bool):
return value
normalized = str(value).strip().casefold()
if normalized in {"true", "yes", "y", "1", "on"}:
return True
if normalized in {"false", "no", "n", "0", "off"}:
return False
raise ValueError(f"{value!r} is not a boolean")
if target_type in {"date", "datetime"}:
from datetime import datetime
parsed = datetime.fromisoformat(str(value).strip().replace("Z", "+00:00"))
return parsed.date() if target_type == "date" else parsed
raise ValueError(f"Unsupported conversion type {target_type!r}")
except (ArithmeticError, TypeError, ValueError):
if on_error == "null":
return None
if on_error == "keep":
return value
raise
def _infer(
expression: exp.Expression,
schema: dict[str, ExpressionDataType],
) -> ExpressionDataType:
if isinstance(expression, exp.Column):
return schema.get(expression.name, "unknown")
if isinstance(expression, exp.Null):
return "null"
if isinstance(expression, exp.Boolean):
return "boolean"
if isinstance(expression, exp.Literal):
if expression.is_string:
return "string"
return "number" if "." in str(expression.this) else "integer"
if isinstance(
expression,
(
exp.EQ,
exp.NEQ,
exp.GT,
exp.GTE,
exp.LT,
exp.LTE,
exp.And,
exp.Or,
exp.Is,
exp.Not,
),
):
return "boolean"
if isinstance(expression, (exp.Length,)):
return "integer"
if isinstance(expression, (exp.Lower, exp.Upper, exp.Trim, exp.Concat, exp.Replace, exp.Substring)):
return "string"
if isinstance(expression, exp.Cast):
return _cast_type(expression) # type: ignore[return-value]
if isinstance(expression, (exp.Add, exp.Sub, exp.Mul, exp.Div, exp.Mod, exp.Abs, exp.Round)):
child_types = {
_infer(item, schema)
for item in expression.iter_expressions()
}
return "number" if "number" in child_types or isinstance(expression, exp.Div) else "integer"
if isinstance(expression, exp.Coalesce):
types = [
_infer(item, schema)
for item in (expression.this, *expression.expressions)
]
return next((item for item in types if item not in {"null", "unknown"}), "unknown")
if isinstance(expression, exp.Case):
types = [
_infer(item.args["true"], schema)
for item in expression.args.get("ifs") or []
if isinstance(item, exp.If)
]
default = expression.args.get("default")
if default is not None:
types.append(_infer(default, schema))
concrete = {item for item in types if item not in {"null", "unknown"}}
return concrete.pop() if len(concrete) == 1 else "unknown"
if isinstance(expression, (exp.Paren, exp.Neg)):
return _infer(expression.this, schema)
return "unknown"
def _literal(expression: exp.Literal) -> Any:
if expression.is_string:
return str(expression.this)
source = str(expression.this)
try:
return int(source)
except ValueError:
return Decimal(source)
def _string_call(
expression: exp.Expression,
row: dict[str, Any],
operation,
) -> str | None:
value = _evaluate(expression, row)
return None if value is None else operation(str(value))
def _cast_type(expression: exp.Cast) -> str:
data_type = expression.args.get("to")
name = str(data_type.this).casefold() if isinstance(data_type, exp.DataType) else ""
mapping = {
"dtype.int": "integer",
"dtype.bigint": "integer",
"dtype.smallint": "integer",
"dtype.float": "number",
"dtype.double": "number",
"dtype.decimal": "number",
"dtype.boolean": "boolean",
"dtype.text": "string",
"dtype.varchar": "string",
"dtype.date": "date",
"dtype.datetime": "datetime",
"dtype.timestamp": "datetime",
"dtype.timestamptz": "datetime",
}
target = mapping.get(name)
if target is None:
raise ExpressionError(f"CAST target {data_type} is not supported.")
return target
__all__ = [
"ExpressionDataType",
"ExpressionError",
"ParsedExpression",
"convert_value",
"evaluate_expression",
"infer_expression_type",
"parse_expression",
]