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Abstract
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@ -238,6 +238,44 @@ def _expr_to_compare_op(
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raise NotImplementedError(f"PropertyOperator {operator} not implemented")
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def _handle_property_values(
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property: Property,
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value: list,
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team: Team,
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scope: str,
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field: ast.Expr,
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operator: PropertyOperator,
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is_json_field: bool,
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) -> ast.Expr:
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if len(value) == 0:
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return ast.Constant(value=1)
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elif len(value) == 1:
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return _expr_to_compare_op(
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expr=field,
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value=value[0],
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operator=operator,
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team=team,
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property=property,
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is_json_field=is_json_field,
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)
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else:
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# Using an AND here instead of `in()` or `notIn()`, due to Clickhouses poor handling of `null` values
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exprs = [
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_expr_to_compare_op(
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expr=field,
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value=v,
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operator=operator,
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team=team,
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property=property,
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is_json_field=is_json_field,
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)
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for v in value
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]
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if operator in (PropertyOperator.NOT_ICONTAINS, PropertyOperator.NOT_REGEX, PropertyOperator.IS_NOT):
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return ast.And(exprs=exprs)
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return ast.Or(exprs=exprs)
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def property_to_expr(
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property: (
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list
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@ -354,38 +392,18 @@ def property_to_expr(
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else:
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raise QueryError("Data warehouse property filter value must be a string")
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# For data warehouse properties, we split the key on dots to get the table chain and property key
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# e.g. "foobars.properties.$feature/flag" becomes chain=["foobars", "properties"] and property_key="$feature/flag"
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# This allows us to properly reference nested fields in data warehouse tables while maintaining consistent
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# property filtering behavior. The chain represents the path to traverse through nested table structures,
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# while the property_key is the actual field name we want to filter on.
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if isinstance(value, list):
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if len(value) == 0:
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return ast.Constant(value=1)
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elif len(value) == 1:
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value = value[0]
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else:
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field = ast.Field(chain=[*chain, property_key])
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exprs = [
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_expr_to_compare_op(
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expr=field,
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value=v,
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operator=operator,
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team=team,
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property=property,
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is_json_field=False,
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)
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for v in value
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]
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if (
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operator == PropertyOperator.NOT_ICONTAINS
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or operator == PropertyOperator.NOT_REGEX
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or operator == PropertyOperator.IS_NOT
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):
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return ast.And(exprs=exprs)
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return ast.Or(exprs=exprs)
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field = ast.Field(chain=[*chain, property_key])
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if isinstance(value, list):
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return _handle_property_values(
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property=property,
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value=value,
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team=team,
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scope=scope,
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field=field,
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operator=operator,
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is_json_field=False,
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)
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return _expr_to_compare_op(
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expr=field,
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value=value,
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@ -420,33 +438,15 @@ def property_to_expr(
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expr = ast.Call(name="argMinMerge", args=[field])
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if isinstance(value, list):
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if len(value) == 0:
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return ast.Constant(value=1)
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elif len(value) == 1:
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value = value[0]
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else:
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# Using an AND here instead of `in()` or `notIn()`, due to Clickhouses poor handling of `null` values
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exprs = [
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property_to_expr(
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Property(
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type=property.type,
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key=property.key,
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operator=property.operator,
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group_type_index=property.group_type_index,
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value=v,
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),
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team,
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scope,
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)
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for v in value
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]
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if (
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operator == PropertyOperator.NOT_ICONTAINS
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or operator == PropertyOperator.NOT_REGEX
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or operator == PropertyOperator.IS_NOT
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):
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return ast.And(exprs=exprs)
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return ast.Or(exprs=exprs)
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return _handle_property_values(
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property=property,
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value=value,
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team=team,
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scope=scope,
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field=expr,
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operator=operator,
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is_json_field=property.type != "session",
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)
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return _expr_to_compare_op(
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expr=expr,
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