Merge pull request #476 from machow/misc-fixes

Misc fixes

siuba/dply/verbs.py

@@ -2545,7 +2545,7 @@ def _extract_gdf(__data, *args, **kwargs):
 
 # tbl ----
 
-from siuba.siu._databackend import SqlaEngine
+from siuba.siu._databackend import SqlaEngine, PlDataFrame, PdDataFrame
 
 @singledispatch2((pd.DataFrame, DataFrameGroupBy))
 def tbl(src, *args, **kwargs):
@@ -2613,8 +2613,10 @@ def _tbl_sqla(src: SqlaEngine, table_name, columns=None):
 
     # TODO: once we subclass LazyTbl per dialect (e.g. duckdb), we can move out
     # this dialect specific logic.
-    if src.dialect.name == "duckdb" and isinstance(columns, pd.DataFrame):
-        src.execute("register", (table_name, columns))
+    if src.dialect.name == "duckdb" and isinstance(columns, (PdDataFrame, PlDataFrame)):
+        with src.begin() as conn:
+            conn.exec_driver_sql("register", (table_name, columns))
+
         return LazyTbl(src, table_name)
 
     return LazyTbl(src, table_name, columns=columns)

siuba/experimental/pivot/pivot_wide.py

@@ -403,8 +403,9 @@ def pivot_wider_spec(
     # validate names and move id vars to columns ----
     # note: in pandas 1.5+ we can use the allow_duplicates option to reset, even
     # when index and column names overlap. for now, repair names, rename, then reset.
-    unique_names = vec_as_names([*id_vars, *wide.columns], repair="unique")
-    repaired_names = vec_as_names([*id_vars, *wide.columns], repair=names_repair)
+    _all_raw_names = list(map(str, [*id_vars, *wide.columns]))
+    unique_names = vec_as_names(_all_raw_names, repair="unique")
+    repaired_names = vec_as_names(_all_raw_names, repair=names_repair)
 
     uniq_id_vars = unique_names[:len(id_vars)]
     uniq_val_vars = unique_names[len(id_vars):]

siuba/experimental/pivot/sql_pivot_wide.py

@@ -131,7 +131,8 @@ def _pivot_wider_spec(
 
     wide_id_cols = [sel_cols[id_] for id_ in id_vars]
 
-    repaired_names = vec_as_names([*id_vars, *spec[".name"]], repair=names_repair)
+    _all_raw_names = list(map(str, [*id_vars, *spec[".name"]]))
+    repaired_names = vec_as_names(_all_raw_names, repair=names_repair)
     labeled_cols = [
         col.label(name) for name, col in
         zip(repaired_names, [*wide_id_cols, *wide_name_cols])

siuba/siu/_databackend.py

@@ -48,5 +48,9 @@ def __subclasshook__(cls, subclass):
 # Implementations -------------------------------------------------------------
 
 class SqlaEngine(AbstractBackend): pass
+class PlDataFrame(AbstractBackend): pass
+class PdDataFrame(AbstractBackend): pass
 
 SqlaEngine.register_backend("sqlalchemy.engine", "Connectable")
+PlDataFrame.register_backend("polars", "DataFrame")
+PdDataFrame.register_backend("pandas", "DataFrame")

siuba/siu/calls.py

@@ -201,7 +201,7 @@ def __rshift__(self, x):
         stripped = strip_symbolic(x)
 
         if isinstance(stripped, Call):
-            return self._construct_pipe(MetaArg("_"), self, x)
+            return self._construct_pipe(self, x)
 
         raise TypeError()
 
@@ -308,9 +308,28 @@ def obj_name(self):
 
         return None
 
-    @classmethod
-    def _construct_pipe(cls, *args):
-        return PipeCall(*args)
+    @staticmethod
+    def _construct_pipe(lhs, rhs):
+        if isinstance(lhs, PipeCall):
+            lh_args = lhs.args
+
+            # ensure we don't keep adding MetaArg to the left when
+            # combining two pipes
+            if lh_args and isinstance(lh_args[0], MetaArg):
+                lh_args = lh_args[1:]
+        else:
+            lh_args = [lhs]
+
+        if isinstance(rhs, PipeCall):
+            rh_args = rhs.args
+
+            # similar to above, but for rh args
+            if rh_args and isinstance(rh_args[0], MetaArg):
+                rh_args = rh_args[1:]
+        else:
+            rh_args = [rhs]
+
+        return PipeCall(MetaArg("_"), *lh_args, *rh_args)
 
 
 class Lazy(Call):
@@ -674,8 +693,15 @@ class PipeCall(Call):
     """
 
     def __init__(self, func, *args, **kwargs):
-        self.func = "__siu_pipe_call__"
-        self.args = (func, *args)
+        if isinstance(func, str) and func == "__siu_pipe_call__":
+            # it was a mistake to make func the first parameter to Call
+            # but basically we need to catch when it is passed, so
+            # we can ignore it
+            self.func = func
+            self.args = args
+        else:
+            self.func = "__siu_pipe_call__"
+            self.args = (func, *args)
         if kwargs:
             raise ValueError("Keyword arguments are not allowed.")
         self.kwargs = {}

siuba/siu/symbolic.py

@@ -85,7 +85,7 @@ def __rshift__(self, x):
 
         if isinstance(stripped, Call):
             lhs_call = self.__source
-            return Call._construct_pipe(MetaArg("_"), lhs_call, stripped)
+            return self.__class__(Call._construct_pipe(lhs_call, stripped))
         # strip_symbolic(self)(x)
         # x is a symbolic
         raise NotImplementedError("Symbolic may only be used on right-hand side of >> operator.")

siuba/sql/across.py

@@ -51,8 +51,10 @@ def _across_sql_cols(
     lazy_tbl = ctx_verb_data.get()
     window = ctx_verb_window.get()
 
+    column_names = list(__data.keys())
+
     name_template = _get_name_template(fns, names)
-    selected_cols = var_select(__data, *var_create(cols), data=__data)
+    selected_cols = var_select(column_names, *var_create(cols), data=__data)
 
     fns_map = _across_setup_fns(fns)
 

siuba/sql/dialects/base.py

@@ -127,6 +127,20 @@ def sql_func_capitalize(_, col):
     rest = fn.right(col, fn.length(col) - 1)
     return sql.functions.concat(first_char, rest)
 
+def sql_str_cat(_, col, others=None, sep=None, na_rep=None, join=None):
+    if sep is not None:
+        raise NotImplementedError("sep argument not supported for sql cat")
+
+    if na_rep is not None:
+        raise NotImplementedError("na_rep argument not supported for sql cat")
+
+    if join is not None:
+        raise NotImplementedError("join argument not supported for sql cat")
+
+    if isinstance(others, (list, tuple)):
+        raise NotImplementedError("others argument must be a single column for sql cat")
+
+    return sql.functions.concat(col, others)
 
 # Numpy ufuncs ----------------------------------------------------------------
 # symbolic objects have a generic dispatch for when _.__array_ufunc__ is called,
@@ -252,6 +266,7 @@ def req_bool(f):
     **{
       # TODO: check generality of trim functions, since MYSQL overrides
       "str.capitalize"    : sql_func_capitalize,
+      "str.cat"           : sql_str_cat,
       #"str.center"        :,
       #"str.contains"      :,
       #"str.count"         :,

siuba/sql/dialects/duckdb.py

@@ -13,7 +13,8 @@
     sql_not_impl,
     # wiring up translator
     extend_base,
-    SqlTranslator
+    SqlTranslator,
+    convert_literal
 )
 
 from .postgresql import (
@@ -44,6 +45,15 @@ def returns_int(func_names):
         f_annotated = wrap_annotate(f_concrete, result_type="int")
         generic.register(DuckdbColumn, f_annotated)
 
+# Literal Conversions =========================================================
+
+@convert_literal.register
+def _cl_duckdb(codata: DuckdbColumn, lit):
+    from sqlalchemy.dialects.postgresql import array
+    if isinstance(lit, list):
+        return array(lit)
+
+    return sql.literal(lit)
 
 # Translations ================================================================
 

siuba/sql/translate.py

@@ -252,6 +252,7 @@ def wrapper(*args, **kwargs):
 #  Translator =================================================================
 
 from siuba.ops.translate import create_pandas_translator
+from functools import singledispatch
 
 
 def extend_base(cls, **kwargs):
@@ -323,7 +324,7 @@ def shape_call(
             # verbs that can use strings as accessors, like group_by, or
             # arrange, need to convert those strings into a getitem call
             return str_to_getitem_call(call)
-        elif isinstance(call, sql.elements.ColumnClause):
+        elif isinstance(call, (sql.elements.ClauseElement)):
             return Lazy(call)
         elif callable(call):
             #TODO: should not happen here
@@ -332,7 +333,8 @@ def shape_call(
         else:
             # verbs that use literal strings, need to convert them to a call
             # that returns a sqlalchemy "literal" object
-            return Lazy(sql.literal(call))
+            _lit = convert_literal(self.window.dispatch_cls(), call)
+            return Lazy(_lit)
 
         # raise informative error message if missing translation
         try:
@@ -367,3 +369,7 @@ def from_mappings(WinCls, AggCls):
                 aggregate = create_pandas_translator(ALL_OPS, AggCls, sql.elements.ClauseElement)
                 )
 
+
+@singledispatch
+def convert_literal(codata, lit):
+    return sql.literal(lit)

siuba/tests/test_siu_dispatchers.py

@@ -1,11 +1,21 @@
 import pytest
 
+from siuba.siu.calls import PipeCall
 from siuba.siu.dispatchers import call
-from siuba.siu import _
+from siuba.siu import _, strip_symbolic, Symbolic
 
 # TODO: direct test of lazy elements
 # TODO: NSECall - no map subcalls
 
+
+def test_siu_pipe_call_is_flat():
+    pipe_expr = _ >> _.a >> _.b
+    pipe_call = strip_symbolic(pipe_expr)
+
+    assert isinstance(pipe_expr, Symbolic)
+    assert isinstance(pipe_call, PipeCall)
+    assert len(pipe_call.args) == 4
+
 def test_siu_call_no_args():
     assert 1 >> call(range) == range(1)