bug fixes

README.md

@@ -43,7 +43,7 @@ There're multiple options to run AQuery on Windows. You can use the native toolc
 
 - For WSL, Docker or Linux virtual machines, see Linux, Docker sections below
 - For Visual Studio (Recommended):
-  1. Install python3.6 or above from [official website](https://www.python.org/downloads/windows/) or Microsoft Store.
+1. Install python3.6 or above from [official website](https://www.python.org/downloads/windows/) or Microsoft Store.
   2. Install Microsoft Visual Studio 2022 or later with **Desktop development with C++** selected.
   3. Clone AQuery repo from [Github](https://github.com/sunyinqi0508/AQuery2)
   4. Install python requirements with pip `python3 -m pip install -r requirements.txt`
@@ -108,7 +108,7 @@ There're multiple options to run AQuery on Windows. You can use the native toolc
    `f moving_avg.a` <br>
    `xexec`
 
-See ./tests/ for more examples. 
+See files in ./tests/ for more examples. 
 
 ## Automated Testing Scripts
 - A series of commands can be put in a script file and execute using `script` command.
@@ -174,4 +174,4 @@ See ./tests/ for more examples.
 - [x] Functionality: Basic helper functions in aquery 
 - [ ] Bug: Join-Aware Column management
 - [ ] Bug: Order By after Group By
-- [ ] Functionality: Having clause
+- [ ] Functionality: Having clause, With clause

aquery_parser/sql_parser.py

@@ -672,13 +672,15 @@ def parser(literal_string, ident, sqlserver=False):
         module_func_def = (
             var_name("fname")
             + LB 
-            + delimited_list(
+            + Optional(
+                delimited_list(
                     (
                         var_name("arg") 
                         + COLON 
                         + var_name("type")
                     )("vars")
                 ) 
+            )
             + RB
             + LAMBDA
             + var_name("ret_type")

engine/types.py

@@ -98,7 +98,7 @@ FloatT = Types(16, name = 'float', cname = 'float', sqlname = 'REAL',
 HgeT = Types(9, name = 'int128',cname='__int128_t', sqlname = 'HUGEINT', fp_type = DoubleT)
 UHgeT = Types(10, name = 'uint128', cname='__uint128_t', sqlname = 'HUGEINT', fp_type = DoubleT)
 LongT = Types(4, name = 'int64', sqlname = 'BIGINT', fp_type = DoubleT)
-BoolT = Types(0, name = 'bool', sqlname = 'BOOL', long_type=LongT, fp_type=FloatT)
+BoolT = Types(0, name = 'bool', cname='bool', sqlname = 'BOOL', long_type=LongT, fp_type=FloatT)
 ByteT = Types(1, name = 'int8', sqlname = 'TINYINT', long_type=LongT, fp_type=FloatT)
 ShortT = Types(2, name = 'int16', sqlname='SMALLINT', long_type=LongT, fp_type=FloatT)
 IntT = Types(3, name = 'int', cname = 'int', long_type=LongT, fp_type=FloatT)

prompt.py

@@ -558,7 +558,7 @@ def prompt(running = lambda:True, next = lambda:input('> '), state = None):
             state.stmts = parser.parse(og_q.strip())
             cxt.Info(state.stmts)
             state.currstats.parse_time = state.currstats.stop()
-        except ParseException as e:
+        except (ParseException, KeyError) as e:
             print(e)
             continue
         except (ValueError, FileNotFoundError) as e:
@@ -574,9 +574,15 @@ def prompt(running = lambda:True, next = lambda:input('> '), state = None):
             raise
         except ValueError as e:
             import code, traceback
+            __stdin = os.dup(0)
             raise_exception = True
             sh = code.InteractiveConsole({**globals(), **locals()})
+            try:
                 sh.interact(banner = traceback.format_exc(), exitmsg = 'debugging session ended.')
+            except:
+                pass
+            finally:
+                sys.stdin = io.TextIOWrapper(io.BufferedReader(io.FileIO(__stdin, mode='rb', closefd=False)), encoding='utf8')
             save('', cxt)
             rm(state)
             # control whether to raise exception in interactive console

reconstruct/ast.py

@@ -916,7 +916,7 @@ class insert(ast_node):
         #     raise ValueError("Column Mismatch")
 
         list_values = []
-        for i, s in enumerate(values):
+        for i, s in enumerate(enlist(values)):
             if 'value' in s:
                 list_values.append(f"{s['value']}")
             else:

sdk/aquery.h

@@ -86,11 +86,26 @@ __AQEXPORT__(void) init_session(Context* cxt);
 #else 
 void* memcpy(void*, const void*, unsigned long long);
 #endif
+
+struct vectortype_storage{
+	void* container = nullptr;
+	unsigned int size = 0, capacity = 0;
+	vectortype_storage(void* container, unsigned int size, unsigned int capacity) :
+		container(container), size(size), capacity(capacity) {}
+	vectortype_storage() = default;
+	template <class Ty, template <typename> class VT>
+	vectortype_storage(const VT<Ty>& vt) {
+		memcpy(this, &vt, sizeof(vectortype_storage));
+	}
+};
 struct ColRef_storage {
-	void* container;
-	unsigned int capacity, size;
-	const char* name;
-	int ty; // what if enum is not int?
+	void* container = nullptr;
+	unsigned int size = 0, capacity = 0;
+	const char* name = nullptr;
+	int ty = 0; // what if enum is not int?
+	ColRef_storage(void* container, unsigned int size, unsigned int capacity, const char* name, int ty) :
+		container(container), size(size), capacity(capacity), name(name), ty(ty) {}
+	ColRef_storage() = default;
 	template <class Ty, template <typename> class VT>
 	ColRef_storage(const VT<Ty>& vt) {
 		memcpy(this, &vt, sizeof(ColRef_storage));

tests/dt.a

@@ -0,0 +1,25 @@
+LOAD MODULE FROM "./libirf.so"
+FUNCTIONS (
+    mydiv(a:int, b:int) -> double,
+    mulvec(a:int, b:vecfloat) -> vecfloat,
+    newtree(height:int, f:int64, sparse:vecint, forget:double, maxF:int64, noClasses:int64, e:int, r:int64, rb:int64) -> bool,
+    additem(X:vecdouble, y:int64, size:int64) -> bool,
+    fit() -> bool,
+    predict() -> vecint
+);
+
+select mydiv(2,3);
+create table tb(x int);
+create table tb2(x double, y double, z double);
+insert into tb values (0);
+insert into tb values (0);
+insert into tb values (0);
+select newtree(5, 3, tb.x, 0, 3, 2, 0, 100, 1) from tb;
+insert into tb2 values (1, 0, 1);
+insert into tb2 values (0, 1, 1);
+insert into tb2 values (1, 1, 1);
+select additem(tb2.x, 1, 3) from tb2;
+select additem(tb2.y, 0, -1) from tb2;
+select additem(tb2.z, 1, -1) from tb2;
+select fit();
+select predict();