summaryrefslogtreecommitdiffstats
path: root/yql/essentials/udfs/common/python/bindings/py_linear.cpp
blob: cfad0695f6a1bd0d5fc694e971d8ac3c76a01beb (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
#include "py_linear.h"
#include "py_cast.h"
#include "py_errors.h"
#include "py_utils.h"
#include "py_gil.h"

#include <yql/essentials/public/udf/udf_value.h>
#include <yql/essentials/public/udf/udf_value_builder.h>
#include <yql/essentials/public/udf/udf_type_inspection.h>

#include <util/string/builder.h>

using namespace NKikimr;

namespace NPython {

//////////////////////////////////////////////////////////////////////////////
// TPyDynamicLinear interface
//////////////////////////////////////////////////////////////////////////////
struct TPyDynamicLinear {
    using TPtr = NUdf::TRefCountedPtr<TPyDynamicLinear, TPyPtrOps<TPyDynamicLinear>>;

    PyObject_HEAD;
    TPyCastContext::TPtr CastCtx;
    const NUdf::TType* ItemType;
    TPyCleanupListItem<NUdf::IBoxedValuePtr> Value;

    inline static TPyDynamicLinear* Cast(PyObject* o) {
        return reinterpret_cast<TPyDynamicLinear*>(o);
    }

    inline static void Dealloc(PyObject* self) {
        delete Cast(self);
    }

    static PyObject* New(
        const TPyCastContext::TPtr& castCtx,
        const NUdf::TType* itemType,
        NUdf::IBoxedValuePtr value);

    static PyObject* Repr(PyObject* self);
    static PyObject* Extract(PyObject* self, PyObject* /* arg */);
};

static PyMethodDef TPyDynamicLinearMethods[] = {
    {"extract", TPyDynamicLinear::Extract, METH_NOARGS, nullptr},
    {nullptr, nullptr, 0, nullptr} /* sentinel */
};

#if PY_MAJOR_VERSION >= 3
    #define Py_TPFLAGS_HAVE_ITER 0 // NOLINT(readability-identifier-naming)
#endif

PyTypeObject PyDynamicLinearType = {
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
    // clang-format off
    INIT_MEMBER(tp_name, "yql.TDynamicLinear"),
    // clang-format on
    INIT_MEMBER(tp_basicsize, sizeof(TPyDynamicLinear)),
    INIT_MEMBER(tp_itemsize, 0),
    INIT_MEMBER(tp_dealloc, TPyDynamicLinear::Dealloc),
#if PY_VERSION_HEX < 0x030800b4
    INIT_MEMBER(tp_print, nullptr),
#else
    INIT_MEMBER(tp_vectorcall_offset, 0),
#endif
    INIT_MEMBER(tp_getattr, nullptr),
    INIT_MEMBER(tp_setattr, nullptr),
#if PY_MAJOR_VERSION >= 3
    INIT_MEMBER(tp_as_async, nullptr),
#else
    INIT_MEMBER(tp_compare, nullptr),
#endif
    INIT_MEMBER(tp_repr, TPyDynamicLinear::Repr),
    INIT_MEMBER(tp_as_number, nullptr),
    INIT_MEMBER(tp_as_sequence, nullptr),
    INIT_MEMBER(tp_as_mapping, nullptr),
    INIT_MEMBER(tp_hash, nullptr),
    INIT_MEMBER(tp_call, nullptr),
    INIT_MEMBER(tp_str, nullptr),
    INIT_MEMBER(tp_getattro, nullptr),
    INIT_MEMBER(tp_setattro, nullptr),
    INIT_MEMBER(tp_as_buffer, nullptr),
    INIT_MEMBER(tp_flags, 0),
    INIT_MEMBER(tp_doc, "yql.TDynamicLinear object"),
    INIT_MEMBER(tp_traverse, nullptr),
    INIT_MEMBER(tp_clear, nullptr),
    INIT_MEMBER(tp_richcompare, nullptr),
    INIT_MEMBER(tp_weaklistoffset, 0),
    INIT_MEMBER(tp_iter, nullptr),
    INIT_MEMBER(tp_iternext, nullptr),
    INIT_MEMBER(tp_methods, TPyDynamicLinearMethods),
    INIT_MEMBER(tp_members, nullptr),
    INIT_MEMBER(tp_getset, nullptr),
    INIT_MEMBER(tp_base, nullptr),
    INIT_MEMBER(tp_dict, nullptr),
    INIT_MEMBER(tp_descr_get, nullptr),
    INIT_MEMBER(tp_descr_set, nullptr),
    INIT_MEMBER(tp_dictoffset, 0),
    INIT_MEMBER(tp_init, nullptr),
    INIT_MEMBER(tp_alloc, nullptr),
    INIT_MEMBER(tp_new, nullptr),
    INIT_MEMBER(tp_free, nullptr),
    INIT_MEMBER(tp_is_gc, nullptr),
    INIT_MEMBER(tp_bases, nullptr),
    INIT_MEMBER(tp_mro, nullptr),
    INIT_MEMBER(tp_cache, nullptr),
    INIT_MEMBER(tp_subclasses, nullptr),
    INIT_MEMBER(tp_weaklist, nullptr),
    INIT_MEMBER(tp_del, nullptr),
    INIT_MEMBER(tp_version_tag, 0),
#if PY_MAJOR_VERSION >= 3
    INIT_MEMBER(tp_finalize, nullptr),
#endif
#if PY_VERSION_HEX >= 0x030800b1
    INIT_MEMBER(tp_vectorcall, nullptr),
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
    INIT_MEMBER(tp_print, nullptr),
#endif
};

PyObject* TPyDynamicLinear::New(
    const TPyCastContext::TPtr& castCtx,
    const NUdf::TType* itemType,
    NUdf::IBoxedValuePtr value)
{
    TPyDynamicLinear* linear = new TPyDynamicLinear;
    PyObject_INIT(linear, &PyDynamicLinearType);

    linear->CastCtx = castCtx;
    linear->ItemType = itemType;
    linear->Value.Set(castCtx->PyCtx, value);

    return reinterpret_cast<PyObject*>(linear);
}

PyObject* TPyDynamicLinear::Repr(PyObject*)
{
    return PyRepr("<yql.TDynamicLinear>").Release();
}

PyObject* TPyDynamicLinear::Extract(PyObject* self, PyObject* /* arg */)
{
    PY_TRY {
        TPyDynamicLinear* linear = Cast(self);
        NUdf::TUnboxedValue res;
        if (NUdf::TBoxedValueAccessor::Next(*linear->Value.Get(), res)) {
            return ToPyObject(linear->CastCtx, linear->ItemType, res).Release();
        }

        PyErr_SetString(PyExc_ValueError, "The linear value has already been used");
        return nullptr;
    }
    PY_CATCH(nullptr)
}

class TDynamicLinearProxy: public NUdf::TBoxedValue {
public:
    TDynamicLinearProxy(const TPyCastContext::TPtr& castCtx, const NUdf::TType* itemType, TPyObjectPtr&& pyObject)
        : CastCtx_(castCtx)
        , ItemType_(itemType)
        , PyObject_(std::move(pyObject))
    {
    }

    ~TDynamicLinearProxy() {
        const TPyGilLocker lock;
        PyObject_.Reset();
    }

    bool Next(NUdf::TUnboxedValue& value) override try {
        const TPyGilLocker lock;
        if (Consumed_) {
            return false;
        }

        TPyObjectPtr function(PyObject_GetAttrString(PyObject_.Get(), "extract"));
        if (!function) {
            throw yexception() << "Missing 'extract' attribute";
        }

        if (!PyCallable_Check(function.Get())) {
            throw yexception() << "'extract' attribute should be a callable";
        }

        TPyObjectPtr resultObj = PyObject_CallObject(function.Get(), nullptr);
        if (!resultObj) {
            throw yexception() << "Failed to execute:\n"
                               << GetLastErrorAsString();
        }

        Consumed_ = true;
        value = FromPyObject(CastCtx_, ItemType_, resultObj.Get());
        return true;
    } catch (const yexception& e) {
        UdfTerminate((TStringBuilder() << CastCtx_->PyCtx->Pos << e.what()).c_str());
    }

private:
    const TPyCastContext::TPtr CastCtx_;
    const NUdf::TType* ItemType_;
    TPyObjectPtr PyObject_;
    bool Consumed_ = false;
};

//////////////////////////////////////////////////////////////////////////////
// public functions
//////////////////////////////////////////////////////////////////////////////
TPyObjectPtr ToPyDynamicLinear(
    const TPyCastContext::TPtr& castCtx,
    const NUdf::TType* itemType,
    const NUdf::TUnboxedValuePod& value)
{
    return TPyDynamicLinear::New(castCtx, itemType, value.AsBoxed());
}

NUdf::TUnboxedValue FromPyDynamicLinear(
    const TPyCastContext::TPtr& castCtx,
    const NUdf::TType* itemType,
    TPyObjectPtr value)
{
    return NUdf::TUnboxedValuePod(new TDynamicLinearProxy(castCtx, itemType, std::move(value)));
}

} // namespace NPython