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/datajoint/heading.py

import numpy as np
from collections import namedtuple, defaultdict
from itertools import chain
import re
import logging
from .errors import DataJointError, _support_filepath_types, FILEPATH_FEATURE_SWITCH
from .declare import (
    UUID_DATA_TYPE,
    SPECIAL_TYPES,
    TYPE_PATTERN,
    EXTERNAL_TYPES,
    NATIVE_TYPES,
)
from .attribute_adapter import get_adapter, AttributeAdapter


logger = logging.getLogger(__name__.split(".")[0])

default_attribute_properties = (
    dict(  # these default values are set in computed attributes
        name=None,
        type="expression",
        in_key=False,
        nullable=False,
        default=None,
        comment="calculated attribute",
        autoincrement=False,
        numeric=None,
        string=None,
        uuid=False,
        json=None,
        is_blob=False,
        is_attachment=False,
        is_filepath=False,
        is_external=False,
        adapter=None,
        store=None,
        unsupported=False,
        attribute_expression=None,
        database=None,
        dtype=object,
    )
)


class Attribute(namedtuple("_Attribute", default_attribute_properties)):
    """
    Properties of a table column (attribute)
    """

    def todict(self):
        """Convert namedtuple to dict."""
        return dict((name, self[i]) for i, name in enumerate(self._fields))

    @property
    def sql_type(self):
        """:return: datatype (as string) in database. In most cases, it is the same as self.type"""
        return UUID_DATA_TYPE if self.uuid else self.type

    @property
    def sql_comment(self):
        """:return: full comment for the SQL declaration. Includes custom type specification"""
        return (":uuid:" if self.uuid else "") + self.comment

    @property
    def sql(self):
        """
        Convert primary key attribute tuple into its SQL CREATE TABLE clause.
        Default values are not reflected.
        This is used for declaring foreign keys in referencing tables

        :return: SQL code for attribute declaration
        """
        return '`{name}` {type} NOT NULL COMMENT "{comment}"'.format(
            name=self.name, type=self.sql_type, comment=self.sql_comment
        )

    @property
    def original_name(self):
        if self.attribute_expression is None:
            return self.name
        assert self.attribute_expression.startswith("`")
        return self.attribute_expression.strip("`")


class Heading:
    """
    Local class for relations' headings.
    Heading contains the property attributes, which is an dict in which the keys are
    the attribute names and the values are Attributes.
    """

    def __init__(self, attribute_specs=None, table_info=None):
        """

        :param attribute_specs: a list of dicts with the same keys as Attribute
        :param table_info: a dict with information to load the heading from the database
        """
        self.indexes = None
        self.table_info = table_info
        self._table_status = None
        self._attributes = (
            None
            if attribute_specs is None
            else dict((q["name"], Attribute(**q)) for q in attribute_specs)
        )

    def __len__(self):
        return 0 if self.attributes is None else len(self.attributes)

    @property
    def table_status(self):
        if self.table_info is None:
            return None
        if self._table_status is None:
            self._init_from_database()
        return self._table_status

    @property
    def attributes(self):
        if self._attributes is None:
            self._init_from_database()  # lazy loading from database
        return self._attributes

    @property
    def names(self):
        return [k for k in self.attributes]

    @property
    def primary_key(self):
        return [k for k, v in self.attributes.items() if v.in_key]

    @property
    def secondary_attributes(self):
        return [k for k, v in self.attributes.items() if not v.in_key]

    @property
    def blobs(self):
        return [k for k, v in self.attributes.items() if v.is_blob]

    @property
    def non_blobs(self):
        return [
            k
            for k, v in self.attributes.items()
            if not v.is_blob and not v.is_attachment and not v.is_filepath
        ]

    @property
    def new_attributes(self):
        return [
            k for k, v in self.attributes.items() if v.attribute_expression is not None
        ]

    def __getitem__(self, name):
        """shortcut to the attribute"""
        return self.attributes[name]

    def __repr__(self):
        """
        :return:  heading representation in DataJoint declaration format but without foreign key expansion
        """
        in_key = True
        ret = ""
        if self._table_status is not None:
            ret += "# " + self.table_status["comment"] + "\n"
        for v in self.attributes.values():
            if in_key and not v.in_key:
                ret += "---\n"
                in_key = False
            ret += "%-20s : %-28s # %s\n" % (
                v.name if v.default is None else "%s=%s" % (v.name, v.default),
                "%s%s" % (v.type, "auto_increment" if v.autoincrement else ""),
                v.comment,
            )
        return ret

    @property
    def has_autoincrement(self):
        return any(e.autoincrement for e in self.attributes.values())

    @property
    def as_dtype(self):
        """
        represent the heading as a numpy dtype
        """
        return np.dtype(
            dict(names=self.names, formats=[v.dtype for v in self.attributes.values()])
        )

    def as_sql(self, fields, include_aliases=True):
        """
        represent heading as the SQL SELECT clause.
        """
        return ",".join(
            "`%s`" % name
            if self.attributes[name].attribute_expression is None
            else self.attributes[name].attribute_expression
            + (" as `%s`" % name if include_aliases else "")
            for name in fields
        )

    def __iter__(self):
        return iter(self.attributes)

    def _init_from_database(self):
        """initialize heading from an existing database table."""
        conn, database, table_name, context = (
            self.table_info[k] for k in ("conn", "database", "table_name", "context")
        )
        info = conn.query(
            'SHOW TABLE STATUS FROM `{database}` WHERE name="{table_name}"'.format(
                table_name=table_name, database=database
            ),
            as_dict=True,
        ).fetchone()
        if info is None:
            if table_name == "~log":
                logger.warning("Could not create the ~log table")
                return
            raise DataJointError(
                "The table `{database}`.`{table_name}` is not defined.".format(
                    table_name=table_name, database=database
                )
            )
        self._table_status = {k.lower(): v for k, v in info.items()}
        cur = conn.query(
            "SHOW FULL COLUMNS FROM `{table_name}` IN `{database}`".format(
                table_name=table_name, database=database
            ),
            as_dict=True,
        )

        attributes = cur.fetchall()

        rename_map = {
            "Field": "name",
            "Type": "type",
            "Null": "nullable",
            "Default": "default",
            "Key": "in_key",
            "Comment": "comment",
        }

        fields_to_drop = ("Privileges", "Collation")

        # rename and drop attributes
        attributes = [
            {
                rename_map[k] if k in rename_map else k: v
                for k, v in x.items()
                if k not in fields_to_drop
            }
            for x in attributes
        ]
        numeric_types = {
            ("float", False): np.float64,
            ("float", True): np.float64,
            ("double", False): np.float64,
            ("double", True): np.float64,
            ("tinyint", False): np.int64,
            ("tinyint", True): np.int64,
            ("smallint", False): np.int64,
            ("smallint", True): np.int64,
            ("mediumint", False): np.int64,
            ("mediumint", True): np.int64,
            ("int", False): np.int64,
            ("int", True): np.int64,
            ("bigint", False): np.int64,
            ("bigint", True): np.uint64,
        }

        sql_literals = ["CURRENT_TIMESTAMP"]

        # additional attribute properties
        for attr in attributes:

            attr.update(
                in_key=(attr["in_key"] == "PRI"),
                database=database,
                nullable=attr["nullable"] == "YES",
                autoincrement=bool(
                    re.search(r"auto_increment", attr["Extra"], flags=re.I)
                ),
                numeric=any(
                    TYPE_PATTERN[t].match(attr["type"])
                    for t in ("DECIMAL", "INTEGER", "FLOAT")
                ),
                string=any(
                    TYPE_PATTERN[t].match(attr["type"])
                    for t in ("ENUM", "TEMPORAL", "STRING")
                ),
                is_blob=bool(TYPE_PATTERN["INTERNAL_BLOB"].match(attr["type"])),
                uuid=False,
                json=bool(TYPE_PATTERN["JSON"].match(attr["type"])),
                is_attachment=False,
                is_filepath=False,
                adapter=None,
                store=None,
                is_external=False,
                attribute_expression=None,
            )

            if any(TYPE_PATTERN[t].match(attr["type"]) for t in ("INTEGER", "FLOAT")):
                attr["type"] = re.sub(
                    r"\(\d+\)", "", attr["type"], count=1
                )  # strip size off integers and floats
            attr["unsupported"] = not any(
                (attr["is_blob"], attr["numeric"], attr["numeric"])
            )
            attr.pop("Extra")

            # process custom DataJoint types
            special = re.match(r":(?P<type>[^:]+):(?P<comment>.*)", attr["comment"])
            if special:
                special = special.groupdict()
                attr.update(special)
            # process adapted attribute types
            if special and TYPE_PATTERN["ADAPTED"].match(attr["type"]):
                assert context is not None, "Declaration context is not set"
                adapter_name = special["type"]
                try:
                    attr.update(adapter=get_adapter(context, adapter_name))
                except DataJointError:
                    # if no adapter, then delay the error until the first invocation
                    attr.update(adapter=AttributeAdapter())
                else:
                    attr.update(type=attr["adapter"].attribute_type)
                    if not any(r.match(attr["type"]) for r in TYPE_PATTERN.values()):
                        raise DataJointError(
                            "Invalid attribute type '{type}' in adapter object <{adapter_name}>.".format(
                                adapter_name=adapter_name, **attr
                            )
                        )
                    special = not any(
                        TYPE_PATTERN[c].match(attr["type"]) for c in NATIVE_TYPES
                    )

            if special:
                try:
                    category = next(
                        c for c in SPECIAL_TYPES if TYPE_PATTERN[c].match(attr["type"])
                    )
                except StopIteration:
                    if attr["type"].startswith("external"):
                        url = (
                            "https://docs.datajoint.io/python/admin/5-blob-config.html"
                            "#migration-between-datajoint-v0-11-and-v0-12"
                        )
                        raise DataJointError(
                            "Legacy datatype `{type}`. Migrate your external stores to "
                            "datajoint 0.12: {url}".format(url=url, **attr)
                        )
                    raise DataJointError(
                        "Unknown attribute type `{type}`".format(**attr)
                    )
                if category == "FILEPATH" and not _support_filepath_types():
                    raise DataJointError(
                        """
                        The filepath data type is disabled until complete validation.
                        To turn it on as experimental feature, set the environment variable
                        {env} = TRUE or upgrade datajoint.
                        """.format(
                            env=FILEPATH_FEATURE_SWITCH
                        )
                    )
                attr.update(
                    unsupported=False,
                    is_attachment=category in ("INTERNAL_ATTACH", "EXTERNAL_ATTACH"),
                    is_filepath=category == "FILEPATH",
                    # INTERNAL_BLOB is not a custom type but is included for completeness
                    is_blob=category in ("INTERNAL_BLOB", "EXTERNAL_BLOB"),
                    uuid=category == "UUID",
                    is_external=category in EXTERNAL_TYPES,
                    store=attr["type"].split("@")[1]
                    if category in EXTERNAL_TYPES
                    else None,
                )

            if attr["in_key"] and any(
                (
                    attr["is_blob"],
                    attr["is_attachment"],
                    attr["is_filepath"],
                    attr["json"],
                )
            ):
                raise DataJointError(
                    "Json, Blob, attachment, or filepath attributes are not allowed in the primary key"
                )

            if (
                attr["string"]
                and attr["default"] is not None
                and attr["default"] not in sql_literals
            ):
                attr["default"] = '"%s"' % attr["default"]

            if attr["nullable"]:  # nullable fields always default to null
                attr["default"] = "null"

            # fill out dtype. All floats and non-nullable integers are turned into specific dtypes
            attr["dtype"] = object
            if attr["numeric"] and not attr["adapter"]:
                is_integer = TYPE_PATTERN["INTEGER"].match(attr["type"])
                is_float = TYPE_PATTERN["FLOAT"].match(attr["type"])
                if is_integer and not attr["nullable"] or is_float:
                    is_unsigned = bool(re.match("sunsigned", attr["type"], flags=re.I))
                    t = re.sub(r"\(.*\)", "", attr["type"])  # remove parentheses
                    t = re.sub(r" unsigned$", "", t)  # remove unsigned
                    assert (t, is_unsigned) in numeric_types, (
                        "dtype not found for type %s" % t
                    )
                    attr["dtype"] = numeric_types[(t, is_unsigned)]

            if attr["adapter"]:
                # restore adapted type name
                attr["type"] = adapter_name

        self._attributes = dict(((q["name"], Attribute(**q)) for q in attributes))

        # Read and tabulate secondary indexes
        keys = defaultdict(dict)
        for item in conn.query(
            "SHOW KEYS FROM `{db}`.`{tab}`".format(db=database, tab=table_name),
            as_dict=True,
        ):
            if item["Key_name"] != "PRIMARY":
                keys[item["Key_name"]][item["Seq_in_index"]] = dict(
                    column=item["Column_name"],
                    unique=(item["Non_unique"] == 0),
                    nullable=item["Null"].lower() == "yes",
                )
        self.indexes = {
            tuple(item[k]["column"] for k in sorted(item.keys())): dict(
                unique=item[1]["unique"],
                nullable=any(v["nullable"] for v in item.values()),
            )
            for item in keys.values()
        }

    def select(self, select_list, rename_map=None, compute_map=None):
        """
        derive a new heading by selecting, renaming, or computing attributes.
        In relational algebra these operators are known as project, rename, and extend.

        :param select_list:  the full list of existing attributes to include
        :param rename_map:  dictionary of renamed attributes: keys=new names, values=old names
        :param compute_map: a direction of computed attributes
        This low-level method performs no error checking.
        """
        rename_map = rename_map or {}
        compute_map = compute_map or {}
        copy_attrs = list()
        for name in self.attributes:
            if name in select_list:
                copy_attrs.append(self.attributes[name].todict())
            copy_attrs.extend(
                (
                    dict(
                        self.attributes[old_name].todict(),
                        name=new_name,
                        attribute_expression="`%s`" % old_name,
                    )
                    for new_name, old_name in rename_map.items()
                    if old_name == name
                )
            )
        compute_attrs = (
            dict(default_attribute_properties, name=new_name, attribute_expression=expr)
            for new_name, expr in compute_map.items()
        )
        return Heading(chain(copy_attrs, compute_attrs))

    def join(self, other):
        """
        Join two headings into a new one.
        It assumes that self and other are headings that share no common dependent attributes.
        """
        return Heading(
            [self.attributes[name].todict() for name in self.primary_key]
            + [
                other.attributes[name].todict()
                for name in other.primary_key
                if name not in self.primary_key
            ]
            + [
                self.attributes[name].todict()
                for name in self.secondary_attributes
                if name not in other.primary_key
            ]
            + [
                other.attributes[name].todict()
                for name in other.secondary_attributes
                if name not in self.primary_key
            ]
        )

    def set_primary_key(self, primary_key):
        """
        Create a new heading with the specified primary key.
        This low-level method performs no error checking.
        """
        return Heading(
            chain(
                (
                    dict(self.attributes[name].todict(), in_key=True)
                    for name in primary_key
                ),
                (
                    dict(self.attributes[name].todict(), in_key=False)
                    for name in self.names
                    if name not in primary_key
                ),
            )
        )

    def make_subquery_heading(self):
        """
        Create a new heading with removed attribute sql_expressions.
        Used by subqueries, which resolve the sql_expressions.
        """
        return Heading(
            dict(v.todict(), attribute_expression=None)
            for v in self.attributes.values()
        )

1	import numpy as np	1✔
2	from collections import namedtuple, defaultdict	1✔
3	from itertools import chain	1✔
4	import re	1✔
5	import logging	1✔
6	from .errors import DataJointError, _support_filepath_types, FILEPATH_FEATURE_SWITCH	1✔
7	from .declare import (	1✔
8	UUID_DATA_TYPE,
9	SPECIAL_TYPES,
10	TYPE_PATTERN,
11	EXTERNAL_TYPES,
12	NATIVE_TYPES,
13	)
14	from .attribute_adapter import get_adapter, AttributeAdapter	1✔
15
16
17	logger = logging.getLogger(__name__.split(".")[0])	1✔
18
19	default_attribute_properties = (	1✔
20	dict( # these default values are set in computed attributes
21	name=None,
22	type="expression",
23	in_key=False,
24	nullable=False,
25	default=None,
26	comment="calculated attribute",
27	autoincrement=False,
28	numeric=None,
29	string=None,
30	uuid=False,
31	json=None,
32	is_blob=False,
33	is_attachment=False,
34	is_filepath=False,
35	is_external=False,
36	adapter=None,
37	store=None,
38	unsupported=False,
39	attribute_expression=None,
40	database=None,
41	dtype=object,
42	)
43	)
44
45
46	class Attribute(namedtuple("_Attribute", default_attribute_properties)):	1✔
47	"""
48	Properties of a table column (attribute)
49	"""
50
51	def todict(self):	1✔
52	"""Convert namedtuple to dict."""
53	return dict((name, self[i]) for i, name in enumerate(self._fields))	1✔
54
55	@property	1✔
56	def sql_type(self):
57	""":return: datatype (as string) in database. In most cases, it is the same as self.type"""
58	return UUID_DATA_TYPE if self.uuid else self.type	1✔
59
60	@property	1✔
61	def sql_comment(self):
62	""":return: full comment for the SQL declaration. Includes custom type specification"""
63	return (":uuid:" if self.uuid else "") + self.comment	1✔
64
65	@property	1✔
66	def sql(self):
67	"""
68	Convert primary key attribute tuple into its SQL CREATE TABLE clause.
69	Default values are not reflected.
70	This is used for declaring foreign keys in referencing tables
71
72	:return: SQL code for attribute declaration
73	"""
74	return '`{name}` {type} NOT NULL COMMENT "{comment}"'.format(	1✔
75	name=self.name, type=self.sql_type, comment=self.sql_comment
76	)
77
78	@property	1✔
79	def original_name(self):
80	if self.attribute_expression is None:	1✔
81	return self.name	1✔
82	assert self.attribute_expression.startswith("`")	1✔
83	return self.attribute_expression.strip("`")	1✔
84
85
86	class Heading:	1✔
87	"""
88	Local class for relations' headings.
89	Heading contains the property attributes, which is an dict in which the keys are
90	the attribute names and the values are Attributes.
91	"""
92
93	def __init__(self, attribute_specs=None, table_info=None):	1✔
94	"""
95
96	:param attribute_specs: a list of dicts with the same keys as Attribute
97	:param table_info: a dict with information to load the heading from the database
98	"""
99	self.indexes = None	1✔
100	self.table_info = table_info	1✔
101	self._table_status = None	1✔
102	self._attributes = (	1✔
103	None
104	if attribute_specs is None
105	else dict((q["name"], Attribute(**q)) for q in attribute_specs)
106	)
107
108	def __len__(self):	1✔
109	return 0 if self.attributes is None else len(self.attributes)	1✔
110
111	@property	1✔
112	def table_status(self):
113	if self.table_info is None:	1✔
114	return None	×
115	if self._table_status is None:	1✔
116	self._init_from_database()	1✔
117	return self._table_status	1✔
118
119	@property	1✔
120	def attributes(self):
121	if self._attributes is None:	1✔
122	self._init_from_database() # lazy loading from database	1✔
123	return self._attributes	1✔
124
125	@property	1✔
126	def names(self):
127	return [k for k in self.attributes]	1✔
128
129	@property	1✔
130	def primary_key(self):
131	return [k for k, v in self.attributes.items() if v.in_key]	1✔
132
133	@property	1✔
134	def secondary_attributes(self):
135	return [k for k, v in self.attributes.items() if not v.in_key]	1✔
136
137	@property	1✔
138	def blobs(self):
139	return [k for k, v in self.attributes.items() if v.is_blob]	×
140
141	@property	1✔
142	def non_blobs(self):
143	return [	1✔
144	k
145	for k, v in self.attributes.items()
146	if not v.is_blob and not v.is_attachment and not v.is_filepath
147	]
148
149	@property	1✔
150	def new_attributes(self):
151	return [	1✔
152	k for k, v in self.attributes.items() if v.attribute_expression is not None
153	]
154
155	def __getitem__(self, name):	1✔
156	"""shortcut to the attribute"""
157	return self.attributes[name]	1✔
158
159	def __repr__(self):	1✔
160	"""
161	:return: heading representation in DataJoint declaration format but without foreign key expansion
162	"""
163	in_key = True	1✔
164	ret = ""	1✔
165	if self._table_status is not None:	1✔
166	ret += "# " + self.table_status["comment"] + "\n"	×
167	for v in self.attributes.values():	1✔
168	if in_key and not v.in_key:	1✔
169	ret += "---\n"	1✔
170	in_key = False	1✔
171	ret += "%-20s : %-28s # %s\n" % (	1✔
172	v.name if v.default is None else "%s=%s" % (v.name, v.default),
173	"%s%s" % (v.type, "auto_increment" if v.autoincrement else ""),
174	v.comment,
175	)
176	return ret	1✔
177
178	@property	1✔
179	def has_autoincrement(self):
180	return any(e.autoincrement for e in self.attributes.values())	1✔
181
182	@property	1✔
183	def as_dtype(self):
184	"""
185	represent the heading as a numpy dtype
186	"""
187	return np.dtype(	1✔
188	dict(names=self.names, formats=[v.dtype for v in self.attributes.values()])
189	)
190
191	def as_sql(self, fields, include_aliases=True):	1✔
192	"""
193	represent heading as the SQL SELECT clause.
194	"""
195	return ",".join(	1✔
196	"`%s`" % name
197	if self.attributes[name].attribute_expression is None
198	else self.attributes[name].attribute_expression
199	+ (" as `%s`" % name if include_aliases else "")
200	for name in fields
201	)
202
203	def __iter__(self):	1✔
204	return iter(self.attributes)	1✔
205
206	def _init_from_database(self):	1✔
207	"""initialize heading from an existing database table."""
208	conn, database, table_name, context = (	1✔
209	self.table_info[k] for k in ("conn", "database", "table_name", "context")
210	)
211	info = conn.query(	1✔
212	'SHOW TABLE STATUS FROM `{database}` WHERE name="{table_name}"'.format(
213	table_name=table_name, database=database
214	),
215	as_dict=True,
216	).fetchone()
217	if info is None:	1✔
218	if table_name == "~log":	1✔
219	logger.warning("Could not create the ~log table")	×
220	return	×
221	raise DataJointError(	1✔
222	"The table `{database}`.`{table_name}` is not defined.".format(
223	table_name=table_name, database=database
224	)
225	)
226	self._table_status = {k.lower(): v for k, v in info.items()}	1✔
227	cur = conn.query(	1✔
228	"SHOW FULL COLUMNS FROM `{table_name}` IN `{database}`".format(
229	table_name=table_name, database=database
230	),
231	as_dict=True,
232	)
233
234	attributes = cur.fetchall()	1✔
235
236	rename_map = {	1✔
237	"Field": "name",
238	"Type": "type",
239	"Null": "nullable",
240	"Default": "default",
241	"Key": "in_key",
242	"Comment": "comment",
243	}
244
245	fields_to_drop = ("Privileges", "Collation")	1✔
246
247	# rename and drop attributes
248	attributes = [	1✔
249	{
250	rename_map[k] if k in rename_map else k: v
251	for k, v in x.items()
252	if k not in fields_to_drop
253	}
254	for x in attributes
255	]
256	numeric_types = {	1✔
257	("float", False): np.float64,
258	("float", True): np.float64,
259	("double", False): np.float64,
260	("double", True): np.float64,
261	("tinyint", False): np.int64,
262	("tinyint", True): np.int64,
263	("smallint", False): np.int64,
264	("smallint", True): np.int64,
265	("mediumint", False): np.int64,
266	("mediumint", True): np.int64,
267	("int", False): np.int64,
268	("int", True): np.int64,
269	("bigint", False): np.int64,
270	("bigint", True): np.uint64,
271	}
272
273	sql_literals = ["CURRENT_TIMESTAMP"]	1✔
274
275	# additional attribute properties
276	for attr in attributes:	1✔
277
278	attr.update(	1✔
279	in_key=(attr["in_key"] == "PRI"),
280	database=database,
281	nullable=attr["nullable"] == "YES",
282	autoincrement=bool(
283	re.search(r"auto_increment", attr["Extra"], flags=re.I)
284	),
285	numeric=any(
286	TYPE_PATTERN[t].match(attr["type"])
287	for t in ("DECIMAL", "INTEGER", "FLOAT")
288	),
289	string=any(
290	TYPE_PATTERN[t].match(attr["type"])
291	for t in ("ENUM", "TEMPORAL", "STRING")
292	),
293	is_blob=bool(TYPE_PATTERN["INTERNAL_BLOB"].match(attr["type"])),
294	uuid=False,
295	json=bool(TYPE_PATTERN["JSON"].match(attr["type"])),
296	is_attachment=False,
297	is_filepath=False,
298	adapter=None,
299	store=None,
300	is_external=False,
301	attribute_expression=None,
302	)
303
304	if any(TYPE_PATTERN[t].match(attr["type"]) for t in ("INTEGER", "FLOAT")):	1✔
305	attr["type"] = re.sub(	1✔
306	r"\(\d+\)", "", attr["type"], count=1
307	) # strip size off integers and floats
308	attr["unsupported"] = not any(	1✔
309	(attr["is_blob"], attr["numeric"], attr["numeric"])
310	)
311	attr.pop("Extra")	1✔
312
313	# process custom DataJoint types
314	special = re.match(r":(?P<type>[^:]+):(?P<comment>.*)", attr["comment"])	1✔
315	if special:	1✔
316	special = special.groupdict()	1✔
317	attr.update(special)	1✔
318	# process adapted attribute types
319	if special and TYPE_PATTERN["ADAPTED"].match(attr["type"]):	1✔
320	assert context is not None, "Declaration context is not set"	1✔
321	adapter_name = special["type"]	1✔
322	try:	1✔
323	attr.update(adapter=get_adapter(context, adapter_name))	1✔
324	except DataJointError:	×
325	# if no adapter, then delay the error until the first invocation
326	attr.update(adapter=AttributeAdapter())	×
327	else:
328	attr.update(type=attr["adapter"].attribute_type)	1✔
329	if not any(r.match(attr["type"]) for r in TYPE_PATTERN.values()):	1✔
330	raise DataJointError(	×
331	"Invalid attribute type '{type}' in adapter object <{adapter_name}>.".format(
332	adapter_name=adapter_name, **attr
333	)
334	)
335	special = not any(	1✔
336	TYPE_PATTERN[c].match(attr["type"]) for c in NATIVE_TYPES
337	)
338
339	if special:	1✔
340	try:	1✔
341	category = next(	1✔
342	c for c in SPECIAL_TYPES if TYPE_PATTERN[c].match(attr["type"])
343	)
344	except StopIteration:	×
345	if attr["type"].startswith("external"):	×
346	url = (	×
347	"https://docs.datajoint.io/python/admin/5-blob-config.html"
348	"#migration-between-datajoint-v0-11-and-v0-12"
349	)
350	raise DataJointError(	×
351	"Legacy datatype `{type}`. Migrate your external stores to "
352	"datajoint 0.12: {url}".format(url=url, **attr)
353	)
354	raise DataJointError(	×
355	"Unknown attribute type `{type}`".format(**attr)
356	)
357	if category == "FILEPATH" and not _support_filepath_types():	1✔
358	raise DataJointError(	×
359	"""
360	The filepath data type is disabled until complete validation.
361	To turn it on as experimental feature, set the environment variable
362	{env} = TRUE or upgrade datajoint.
363	""".format(
364	env=FILEPATH_FEATURE_SWITCH
365	)
366	)
367	attr.update(	1✔
368	unsupported=False,
369	is_attachment=category in ("INTERNAL_ATTACH", "EXTERNAL_ATTACH"),
370	is_filepath=category == "FILEPATH",
371	# INTERNAL_BLOB is not a custom type but is included for completeness
372	is_blob=category in ("INTERNAL_BLOB", "EXTERNAL_BLOB"),
373	uuid=category == "UUID",
374	is_external=category in EXTERNAL_TYPES,
375	store=attr["type"].split("@")[1]
376	if category in EXTERNAL_TYPES
377	else None,
378	)
379
380	if attr["in_key"] and any(	1✔
381	(
382	attr["is_blob"],
383	attr["is_attachment"],
384	attr["is_filepath"],
385	attr["json"],
386	)
387	):
388	raise DataJointError(	×
389	"Json, Blob, attachment, or filepath attributes are not allowed in the primary key"
390	)
391
392	if (	1✔
393	attr["string"]
394	and attr["default"] is not None
395	and attr["default"] not in sql_literals
396	):
397	attr["default"] = '"%s"' % attr["default"]	1✔
398
399	if attr["nullable"]: # nullable fields always default to null	1✔
400	attr["default"] = "null"	1✔
401
402	# fill out dtype. All floats and non-nullable integers are turned into specific dtypes
403	attr["dtype"] = object	1✔
404	if attr["numeric"] and not attr["adapter"]:	1✔
405	is_integer = TYPE_PATTERN["INTEGER"].match(attr["type"])	1✔
406	is_float = TYPE_PATTERN["FLOAT"].match(attr["type"])	1✔
407	if is_integer and not attr["nullable"] or is_float:	1✔
408	is_unsigned = bool(re.match("sunsigned", attr["type"], flags=re.I))	1✔
409	t = re.sub(r"\(.*\)", "", attr["type"]) # remove parentheses	1✔
410	t = re.sub(r" unsigned$", "", t) # remove unsigned	1✔
411	assert (t, is_unsigned) in numeric_types, (	1✔
412	"dtype not found for type %s" % t
413	)
414	attr["dtype"] = numeric_types[(t, is_unsigned)]	1✔
415
416	if attr["adapter"]:	1✔
417	# restore adapted type name
418	attr["type"] = adapter_name	1✔
419
420	self._attributes = dict(((q["name"], Attribute(**q)) for q in attributes))	1✔
421
422	# Read and tabulate secondary indexes
423	keys = defaultdict(dict)	1✔
424	for item in conn.query(	1✔
425	"SHOW KEYS FROM `{db}`.`{tab}`".format(db=database, tab=table_name),
426	as_dict=True,
427	):
428	if item["Key_name"] != "PRIMARY":	1✔
429	keys[item["Key_name"]][item["Seq_in_index"]] = dict(	1✔
430	column=item["Column_name"],
431	unique=(item["Non_unique"] == 0),
432	nullable=item["Null"].lower() == "yes",
433	)
434	self.indexes = {	1✔
435	tuple(item[k]["column"] for k in sorted(item.keys())): dict(
436	unique=item[1]["unique"],
437	nullable=any(v["nullable"] for v in item.values()),
438	)
439	for item in keys.values()
440	}
441
442	def select(self, select_list, rename_map=None, compute_map=None):	1✔
443	"""
444	derive a new heading by selecting, renaming, or computing attributes.
445	In relational algebra these operators are known as project, rename, and extend.
446
447	:param select_list: the full list of existing attributes to include
448	:param rename_map: dictionary of renamed attributes: keys=new names, values=old names
449	:param compute_map: a direction of computed attributes
450	This low-level method performs no error checking.
451	"""
452	rename_map = rename_map or {}	1✔
453	compute_map = compute_map or {}	1✔
454	copy_attrs = list()	1✔
455	for name in self.attributes:	1✔
456	if name in select_list:	1✔
457	copy_attrs.append(self.attributes[name].todict())	1✔
458	copy_attrs.extend(	1✔
459	(
460	dict(
461	self.attributes[old_name].todict(),
462	name=new_name,
463	attribute_expression="`%s`" % old_name,
464	)
465	for new_name, old_name in rename_map.items()
466	if old_name == name
467	)
468	)
469	compute_attrs = (	1✔
470	dict(default_attribute_properties, name=new_name, attribute_expression=expr)
471	for new_name, expr in compute_map.items()
472	)
473	return Heading(chain(copy_attrs, compute_attrs))	1✔
474
475	def join(self, other):	1✔
476	"""
477	Join two headings into a new one.
478	It assumes that self and other are headings that share no common dependent attributes.
479	"""
480	return Heading(	1✔
481	[self.attributes[name].todict() for name in self.primary_key]
482	+ [
483	other.attributes[name].todict()
484	for name in other.primary_key
485	if name not in self.primary_key
486	]
487	+ [
488	self.attributes[name].todict()
489	for name in self.secondary_attributes
490	if name not in other.primary_key
491	]
492	+ [
493	other.attributes[name].todict()
494	for name in other.secondary_attributes
495	if name not in self.primary_key
496	]
497	)
498
499	def set_primary_key(self, primary_key):	1✔
500	"""
501	Create a new heading with the specified primary key.
502	This low-level method performs no error checking.
503	"""
504	return Heading(	1✔
505	chain(
506	(
507	dict(self.attributes[name].todict(), in_key=True)
508	for name in primary_key
509	),
510	(
511	dict(self.attributes[name].todict(), in_key=False)
512	for name in self.names
513	if name not in primary_key
514	),
515	)
516	)
517
518	def make_subquery_heading(self):	1✔
519	"""
520	Create a new heading with removed attribute sql_expressions.
521	Used by subqueries, which resolve the sql_expressions.
522	"""
523	return Heading(	1✔
524	dict(v.todict(), attribute_expression=None)
525	for v in self.attributes.values()
526	)

datajoint / datajoint-python / #12595

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