mirror of https://github.com/morpheus65535/bazarr
834 lines
29 KiB
Python
834 lines
29 KiB
Python
try:
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from collections import OrderedDict
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except ImportError:
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OrderedDict = dict
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from collections import namedtuple
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from inspect import isclass
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import re
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from peewee import *
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from peewee import _StringField
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from peewee import _query_val_transform
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from peewee import CommaNodeList
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from peewee import SCOPE_VALUES
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from peewee import make_snake_case
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from peewee import text_type
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try:
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from pymysql.constants import FIELD_TYPE
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except ImportError:
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try:
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from MySQLdb.constants import FIELD_TYPE
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except ImportError:
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FIELD_TYPE = None
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try:
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from playhouse import postgres_ext
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except ImportError:
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postgres_ext = None
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try:
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from playhouse.cockroachdb import CockroachDatabase
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except ImportError:
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CockroachDatabase = None
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RESERVED_WORDS = set([
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'and', 'as', 'assert', 'break', 'class', 'continue', 'def', 'del', 'elif',
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'else', 'except', 'exec', 'finally', 'for', 'from', 'global', 'if',
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'import', 'in', 'is', 'lambda', 'not', 'or', 'pass', 'print', 'raise',
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'return', 'try', 'while', 'with', 'yield',
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])
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class UnknownField(object):
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pass
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class Column(object):
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"""
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Store metadata about a database column.
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"""
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primary_key_types = (IntegerField, AutoField)
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def __init__(self, name, field_class, raw_column_type, nullable,
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primary_key=False, column_name=None, index=False,
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unique=False, default=None, extra_parameters=None):
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self.name = name
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self.field_class = field_class
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self.raw_column_type = raw_column_type
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self.nullable = nullable
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self.primary_key = primary_key
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self.column_name = column_name
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self.index = index
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self.unique = unique
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self.default = default
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self.extra_parameters = extra_parameters
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# Foreign key metadata.
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self.rel_model = None
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self.related_name = None
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self.to_field = None
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def __repr__(self):
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attrs = [
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'field_class',
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'raw_column_type',
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'nullable',
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'primary_key',
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'column_name']
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keyword_args = ', '.join(
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'%s=%s' % (attr, getattr(self, attr))
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for attr in attrs)
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return 'Column(%s, %s)' % (self.name, keyword_args)
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def get_field_parameters(self):
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params = {}
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if self.extra_parameters is not None:
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params.update(self.extra_parameters)
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# Set up default attributes.
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if self.nullable:
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params['null'] = True
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if self.field_class is ForeignKeyField or self.name != self.column_name:
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params['column_name'] = "'%s'" % self.column_name
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if self.primary_key and not issubclass(self.field_class, AutoField):
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params['primary_key'] = True
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if self.default is not None:
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params['constraints'] = '[SQL("DEFAULT %s")]' % self.default
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# Handle ForeignKeyField-specific attributes.
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if self.is_foreign_key():
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params['model'] = self.rel_model
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if self.to_field:
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params['field'] = "'%s'" % self.to_field
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if self.related_name:
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params['backref'] = "'%s'" % self.related_name
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# Handle indexes on column.
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if not self.is_primary_key():
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if self.unique:
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params['unique'] = 'True'
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elif self.index and not self.is_foreign_key():
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params['index'] = 'True'
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return params
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def is_primary_key(self):
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return self.field_class is AutoField or self.primary_key
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def is_foreign_key(self):
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return self.field_class is ForeignKeyField
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def is_self_referential_fk(self):
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return (self.field_class is ForeignKeyField and
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self.rel_model == "'self'")
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def set_foreign_key(self, foreign_key, model_names, dest=None,
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related_name=None):
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self.foreign_key = foreign_key
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self.field_class = ForeignKeyField
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if foreign_key.dest_table == foreign_key.table:
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self.rel_model = "'self'"
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else:
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self.rel_model = model_names[foreign_key.dest_table]
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self.to_field = dest and dest.name or None
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self.related_name = related_name or None
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def get_field(self):
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# Generate the field definition for this column.
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field_params = {}
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for key, value in self.get_field_parameters().items():
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if isclass(value) and issubclass(value, Field):
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value = value.__name__
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field_params[key] = value
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param_str = ', '.join('%s=%s' % (k, v)
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for k, v in sorted(field_params.items()))
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field = '%s = %s(%s)' % (
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self.name,
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self.field_class.__name__,
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param_str)
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if self.field_class is UnknownField:
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field = '%s # %s' % (field, self.raw_column_type)
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return field
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class Metadata(object):
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column_map = {}
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extension_import = ''
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def __init__(self, database):
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self.database = database
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self.requires_extension = False
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def execute(self, sql, *params):
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return self.database.execute_sql(sql, params)
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def get_columns(self, table, schema=None):
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metadata = OrderedDict(
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(metadata.name, metadata)
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for metadata in self.database.get_columns(table, schema))
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# Look up the actual column type for each column.
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column_types, extra_params = self.get_column_types(table, schema)
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# Look up the primary keys.
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pk_names = self.get_primary_keys(table, schema)
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if len(pk_names) == 1:
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pk = pk_names[0]
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if column_types[pk] is IntegerField:
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column_types[pk] = AutoField
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elif column_types[pk] is BigIntegerField:
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column_types[pk] = BigAutoField
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columns = OrderedDict()
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for name, column_data in metadata.items():
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field_class = column_types[name]
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default = self._clean_default(field_class, column_data.default)
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columns[name] = Column(
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name,
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field_class=field_class,
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raw_column_type=column_data.data_type,
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nullable=column_data.null,
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primary_key=column_data.primary_key,
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column_name=name,
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default=default,
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extra_parameters=extra_params.get(name))
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return columns
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def get_column_types(self, table, schema=None):
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raise NotImplementedError
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def _clean_default(self, field_class, default):
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if default is None or field_class in (AutoField, BigAutoField) or \
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default.lower() == 'null':
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return
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if issubclass(field_class, _StringField) and \
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isinstance(default, text_type) and not default.startswith("'"):
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default = "'%s'" % default
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return default or "''"
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def get_foreign_keys(self, table, schema=None):
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return self.database.get_foreign_keys(table, schema)
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def get_primary_keys(self, table, schema=None):
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return self.database.get_primary_keys(table, schema)
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def get_indexes(self, table, schema=None):
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return self.database.get_indexes(table, schema)
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class PostgresqlMetadata(Metadata):
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column_map = {
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16: BooleanField,
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17: BlobField,
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20: BigIntegerField,
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21: SmallIntegerField,
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23: IntegerField,
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25: TextField,
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700: FloatField,
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701: DoubleField,
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1042: CharField, # blank-padded CHAR
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1043: CharField,
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1082: DateField,
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1114: DateTimeField,
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1184: DateTimeField,
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1083: TimeField,
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1266: TimeField,
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1700: DecimalField,
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2950: UUIDField, # UUID
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}
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array_types = {
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1000: BooleanField,
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1001: BlobField,
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1005: SmallIntegerField,
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1007: IntegerField,
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1009: TextField,
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1014: CharField,
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1015: CharField,
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1016: BigIntegerField,
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1115: DateTimeField,
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1182: DateField,
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1183: TimeField,
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2951: UUIDField,
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}
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extension_import = 'from playhouse.postgres_ext import *'
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def __init__(self, database):
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super(PostgresqlMetadata, self).__init__(database)
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if postgres_ext is not None:
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# Attempt to add types like HStore and JSON.
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cursor = self.execute('select oid, typname, format_type(oid, NULL)'
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' from pg_type;')
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results = cursor.fetchall()
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for oid, typname, formatted_type in results:
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if typname == 'json':
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self.column_map[oid] = postgres_ext.JSONField
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elif typname == 'jsonb':
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self.column_map[oid] = postgres_ext.BinaryJSONField
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elif typname == 'hstore':
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self.column_map[oid] = postgres_ext.HStoreField
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elif typname == 'tsvector':
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self.column_map[oid] = postgres_ext.TSVectorField
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for oid in self.array_types:
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self.column_map[oid] = postgres_ext.ArrayField
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def get_column_types(self, table, schema):
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column_types = {}
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extra_params = {}
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extension_types = set((
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postgres_ext.ArrayField,
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postgres_ext.BinaryJSONField,
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postgres_ext.JSONField,
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postgres_ext.TSVectorField,
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postgres_ext.HStoreField)) if postgres_ext is not None else set()
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# Look up the actual column type for each column.
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identifier = '%s."%s"' % (schema, table)
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cursor = self.execute(
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'SELECT attname, atttypid FROM pg_catalog.pg_attribute '
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'WHERE attrelid = %s::regclass AND attnum > %s', identifier, 0)
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# Store column metadata in dictionary keyed by column name.
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for name, oid in cursor.fetchall():
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column_types[name] = self.column_map.get(oid, UnknownField)
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if column_types[name] in extension_types:
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self.requires_extension = True
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if oid in self.array_types:
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extra_params[name] = {'field_class': self.array_types[oid]}
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return column_types, extra_params
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def get_columns(self, table, schema=None):
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schema = schema or 'public'
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return super(PostgresqlMetadata, self).get_columns(table, schema)
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def get_foreign_keys(self, table, schema=None):
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schema = schema or 'public'
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return super(PostgresqlMetadata, self).get_foreign_keys(table, schema)
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def get_primary_keys(self, table, schema=None):
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schema = schema or 'public'
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return super(PostgresqlMetadata, self).get_primary_keys(table, schema)
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def get_indexes(self, table, schema=None):
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schema = schema or 'public'
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return super(PostgresqlMetadata, self).get_indexes(table, schema)
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|
|
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class CockroachDBMetadata(PostgresqlMetadata):
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# CRDB treats INT the same as BIGINT, so we just map bigint type OIDs to
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# regular IntegerField.
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column_map = PostgresqlMetadata.column_map.copy()
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column_map[20] = IntegerField
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array_types = PostgresqlMetadata.array_types.copy()
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array_types[1016] = IntegerField
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extension_import = 'from playhouse.cockroachdb import *'
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|
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def __init__(self, database):
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Metadata.__init__(self, database)
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self.requires_extension = True
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|
|
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if postgres_ext is not None:
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# Attempt to add JSON types.
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cursor = self.execute('select oid, typname, format_type(oid, NULL)'
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' from pg_type;')
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results = cursor.fetchall()
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for oid, typname, formatted_type in results:
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if typname == 'jsonb':
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self.column_map[oid] = postgres_ext.BinaryJSONField
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|
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for oid in self.array_types:
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self.column_map[oid] = postgres_ext.ArrayField
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|
|
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class MySQLMetadata(Metadata):
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if FIELD_TYPE is None:
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column_map = {}
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else:
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column_map = {
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FIELD_TYPE.BLOB: TextField,
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FIELD_TYPE.CHAR: CharField,
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FIELD_TYPE.DATE: DateField,
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FIELD_TYPE.DATETIME: DateTimeField,
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FIELD_TYPE.DECIMAL: DecimalField,
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FIELD_TYPE.DOUBLE: FloatField,
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FIELD_TYPE.FLOAT: FloatField,
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FIELD_TYPE.INT24: IntegerField,
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FIELD_TYPE.LONG_BLOB: TextField,
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FIELD_TYPE.LONG: IntegerField,
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FIELD_TYPE.LONGLONG: BigIntegerField,
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FIELD_TYPE.MEDIUM_BLOB: TextField,
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FIELD_TYPE.NEWDECIMAL: DecimalField,
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FIELD_TYPE.SHORT: IntegerField,
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FIELD_TYPE.STRING: CharField,
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FIELD_TYPE.TIMESTAMP: DateTimeField,
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FIELD_TYPE.TIME: TimeField,
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FIELD_TYPE.TINY_BLOB: TextField,
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FIELD_TYPE.TINY: IntegerField,
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FIELD_TYPE.VAR_STRING: CharField,
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}
|
|
|
|
def __init__(self, database, **kwargs):
|
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if 'password' in kwargs:
|
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kwargs['passwd'] = kwargs.pop('password')
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super(MySQLMetadata, self).__init__(database, **kwargs)
|
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|
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def get_column_types(self, table, schema=None):
|
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column_types = {}
|
|
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# Look up the actual column type for each column.
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cursor = self.execute('SELECT * FROM `%s` LIMIT 1' % table)
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|
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# Store column metadata in dictionary keyed by column name.
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for column_description in cursor.description:
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name, type_code = column_description[:2]
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column_types[name] = self.column_map.get(type_code, UnknownField)
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return column_types, {}
|
|
|
|
|
|
class SqliteMetadata(Metadata):
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|
column_map = {
|
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'bigint': BigIntegerField,
|
|
'blob': BlobField,
|
|
'bool': BooleanField,
|
|
'boolean': BooleanField,
|
|
'char': CharField,
|
|
'date': DateField,
|
|
'datetime': DateTimeField,
|
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'decimal': DecimalField,
|
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'float': FloatField,
|
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'integer': IntegerField,
|
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'integer unsigned': IntegerField,
|
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'int': IntegerField,
|
|
'long': BigIntegerField,
|
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'numeric': DecimalField,
|
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'real': FloatField,
|
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'smallinteger': IntegerField,
|
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'smallint': IntegerField,
|
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'smallint unsigned': IntegerField,
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'text': TextField,
|
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'time': TimeField,
|
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'varchar': CharField,
|
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}
|
|
|
|
begin = '(?:["\[\(]+)?'
|
|
end = '(?:["\]\)]+)?'
|
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re_foreign_key = (
|
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'(?:FOREIGN KEY\s*)?'
|
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'{begin}(.+?){end}\s+(?:.+\s+)?'
|
|
'references\s+{begin}(.+?){end}'
|
|
'\s*\(["|\[]?(.+?)["|\]]?\)').format(begin=begin, end=end)
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re_varchar = r'^\s*(?:var)?char\s*\(\s*(\d+)\s*\)\s*$'
|
|
|
|
def _map_col(self, column_type):
|
|
raw_column_type = column_type.lower()
|
|
if raw_column_type in self.column_map:
|
|
field_class = self.column_map[raw_column_type]
|
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elif re.search(self.re_varchar, raw_column_type):
|
|
field_class = CharField
|
|
else:
|
|
column_type = re.sub('\(.+\)', '', raw_column_type)
|
|
if column_type == '':
|
|
field_class = BareField
|
|
else:
|
|
field_class = self.column_map.get(column_type, UnknownField)
|
|
return field_class
|
|
|
|
def get_column_types(self, table, schema=None):
|
|
column_types = {}
|
|
columns = self.database.get_columns(table)
|
|
|
|
for column in columns:
|
|
column_types[column.name] = self._map_col(column.data_type)
|
|
|
|
return column_types, {}
|
|
|
|
|
|
_DatabaseMetadata = namedtuple('_DatabaseMetadata', (
|
|
'columns',
|
|
'primary_keys',
|
|
'foreign_keys',
|
|
'model_names',
|
|
'indexes'))
|
|
|
|
|
|
class DatabaseMetadata(_DatabaseMetadata):
|
|
def multi_column_indexes(self, table):
|
|
accum = []
|
|
for index in self.indexes[table]:
|
|
if len(index.columns) > 1:
|
|
field_names = [self.columns[table][column].name
|
|
for column in index.columns
|
|
if column in self.columns[table]]
|
|
accum.append((field_names, index.unique))
|
|
return accum
|
|
|
|
def column_indexes(self, table):
|
|
accum = {}
|
|
for index in self.indexes[table]:
|
|
if len(index.columns) == 1:
|
|
accum[index.columns[0]] = index.unique
|
|
return accum
|
|
|
|
|
|
class Introspector(object):
|
|
pk_classes = [AutoField, IntegerField]
|
|
|
|
def __init__(self, metadata, schema=None):
|
|
self.metadata = metadata
|
|
self.schema = schema
|
|
|
|
def __repr__(self):
|
|
return '<Introspector: %s>' % self.metadata.database
|
|
|
|
@classmethod
|
|
def from_database(cls, database, schema=None):
|
|
if CockroachDatabase and isinstance(database, CockroachDatabase):
|
|
metadata = CockroachDBMetadata(database)
|
|
elif isinstance(database, PostgresqlDatabase):
|
|
metadata = PostgresqlMetadata(database)
|
|
elif isinstance(database, MySQLDatabase):
|
|
metadata = MySQLMetadata(database)
|
|
elif isinstance(database, SqliteDatabase):
|
|
metadata = SqliteMetadata(database)
|
|
else:
|
|
raise ValueError('Introspection not supported for %r' % database)
|
|
return cls(metadata, schema=schema)
|
|
|
|
def get_database_class(self):
|
|
return type(self.metadata.database)
|
|
|
|
def get_database_name(self):
|
|
return self.metadata.database.database
|
|
|
|
def get_database_kwargs(self):
|
|
return self.metadata.database.connect_params
|
|
|
|
def get_additional_imports(self):
|
|
if self.metadata.requires_extension:
|
|
return '\n' + self.metadata.extension_import
|
|
return ''
|
|
|
|
def make_model_name(self, table, snake_case=True):
|
|
if snake_case:
|
|
table = make_snake_case(table)
|
|
model = re.sub(r'[^\w]+', '', table)
|
|
model_name = ''.join(sub.title() for sub in model.split('_'))
|
|
if not model_name[0].isalpha():
|
|
model_name = 'T' + model_name
|
|
return model_name
|
|
|
|
def make_column_name(self, column, is_foreign_key=False, snake_case=True):
|
|
column = column.strip()
|
|
if snake_case:
|
|
column = make_snake_case(column)
|
|
column = column.lower()
|
|
if is_foreign_key:
|
|
# Strip "_id" from foreign keys, unless the foreign-key happens to
|
|
# be named "_id", in which case the name is retained.
|
|
column = re.sub('_id$', '', column) or column
|
|
|
|
# Remove characters that are invalid for Python identifiers.
|
|
column = re.sub(r'[^\w]+', '_', column)
|
|
if column in RESERVED_WORDS:
|
|
column += '_'
|
|
if len(column) and column[0].isdigit():
|
|
column = '_' + column
|
|
return column
|
|
|
|
def introspect(self, table_names=None, literal_column_names=False,
|
|
include_views=False, snake_case=True):
|
|
# Retrieve all the tables in the database.
|
|
tables = self.metadata.database.get_tables(schema=self.schema)
|
|
if include_views:
|
|
views = self.metadata.database.get_views(schema=self.schema)
|
|
tables.extend([view.name for view in views])
|
|
|
|
if table_names is not None:
|
|
tables = [table for table in tables if table in table_names]
|
|
table_set = set(tables)
|
|
|
|
# Store a mapping of table name -> dictionary of columns.
|
|
columns = {}
|
|
|
|
# Store a mapping of table name -> set of primary key columns.
|
|
primary_keys = {}
|
|
|
|
# Store a mapping of table -> foreign keys.
|
|
foreign_keys = {}
|
|
|
|
# Store a mapping of table name -> model name.
|
|
model_names = {}
|
|
|
|
# Store a mapping of table name -> indexes.
|
|
indexes = {}
|
|
|
|
# Gather the columns for each table.
|
|
for table in tables:
|
|
table_indexes = self.metadata.get_indexes(table, self.schema)
|
|
table_columns = self.metadata.get_columns(table, self.schema)
|
|
try:
|
|
foreign_keys[table] = self.metadata.get_foreign_keys(
|
|
table, self.schema)
|
|
except ValueError as exc:
|
|
err(*exc.args)
|
|
foreign_keys[table] = []
|
|
else:
|
|
# If there is a possibility we could exclude a dependent table,
|
|
# ensure that we introspect it so FKs will work.
|
|
if table_names is not None:
|
|
for foreign_key in foreign_keys[table]:
|
|
if foreign_key.dest_table not in table_set:
|
|
tables.append(foreign_key.dest_table)
|
|
table_set.add(foreign_key.dest_table)
|
|
|
|
model_names[table] = self.make_model_name(table, snake_case)
|
|
|
|
# Collect sets of all the column names as well as all the
|
|
# foreign-key column names.
|
|
lower_col_names = set(column_name.lower()
|
|
for column_name in table_columns)
|
|
fks = set(fk_col.column for fk_col in foreign_keys[table])
|
|
|
|
for col_name, column in table_columns.items():
|
|
if literal_column_names:
|
|
new_name = re.sub(r'[^\w]+', '_', col_name)
|
|
else:
|
|
new_name = self.make_column_name(col_name, col_name in fks,
|
|
snake_case)
|
|
|
|
# If we have two columns, "parent" and "parent_id", ensure
|
|
# that when we don't introduce naming conflicts.
|
|
lower_name = col_name.lower()
|
|
if lower_name.endswith('_id') and new_name in lower_col_names:
|
|
new_name = col_name.lower()
|
|
|
|
column.name = new_name
|
|
|
|
for index in table_indexes:
|
|
if len(index.columns) == 1:
|
|
column = index.columns[0]
|
|
if column in table_columns:
|
|
table_columns[column].unique = index.unique
|
|
table_columns[column].index = True
|
|
|
|
primary_keys[table] = self.metadata.get_primary_keys(
|
|
table, self.schema)
|
|
columns[table] = table_columns
|
|
indexes[table] = table_indexes
|
|
|
|
# Gather all instances where we might have a `related_name` conflict,
|
|
# either due to multiple FKs on a table pointing to the same table,
|
|
# or a related_name that would conflict with an existing field.
|
|
related_names = {}
|
|
sort_fn = lambda foreign_key: foreign_key.column
|
|
for table in tables:
|
|
models_referenced = set()
|
|
for foreign_key in sorted(foreign_keys[table], key=sort_fn):
|
|
try:
|
|
column = columns[table][foreign_key.column]
|
|
except KeyError:
|
|
continue
|
|
|
|
dest_table = foreign_key.dest_table
|
|
if dest_table in models_referenced:
|
|
related_names[column] = '%s_%s_set' % (
|
|
dest_table,
|
|
column.name)
|
|
else:
|
|
models_referenced.add(dest_table)
|
|
|
|
# On the second pass convert all foreign keys.
|
|
for table in tables:
|
|
for foreign_key in foreign_keys[table]:
|
|
src = columns[foreign_key.table][foreign_key.column]
|
|
try:
|
|
dest = columns[foreign_key.dest_table][
|
|
foreign_key.dest_column]
|
|
except KeyError:
|
|
dest = None
|
|
|
|
src.set_foreign_key(
|
|
foreign_key=foreign_key,
|
|
model_names=model_names,
|
|
dest=dest,
|
|
related_name=related_names.get(src))
|
|
|
|
return DatabaseMetadata(
|
|
columns,
|
|
primary_keys,
|
|
foreign_keys,
|
|
model_names,
|
|
indexes)
|
|
|
|
def generate_models(self, skip_invalid=False, table_names=None,
|
|
literal_column_names=False, bare_fields=False,
|
|
include_views=False):
|
|
database = self.introspect(table_names, literal_column_names,
|
|
include_views)
|
|
models = {}
|
|
|
|
class BaseModel(Model):
|
|
class Meta:
|
|
database = self.metadata.database
|
|
schema = self.schema
|
|
|
|
def _create_model(table, models):
|
|
for foreign_key in database.foreign_keys[table]:
|
|
dest = foreign_key.dest_table
|
|
|
|
if dest not in models and dest != table:
|
|
_create_model(dest, models)
|
|
|
|
primary_keys = []
|
|
columns = database.columns[table]
|
|
for column_name, column in columns.items():
|
|
if column.primary_key:
|
|
primary_keys.append(column.name)
|
|
|
|
multi_column_indexes = database.multi_column_indexes(table)
|
|
column_indexes = database.column_indexes(table)
|
|
|
|
class Meta:
|
|
indexes = multi_column_indexes
|
|
table_name = table
|
|
|
|
# Fix models with multi-column primary keys.
|
|
composite_key = False
|
|
if len(primary_keys) == 0:
|
|
primary_keys = columns.keys()
|
|
if len(primary_keys) > 1:
|
|
Meta.primary_key = CompositeKey(*[
|
|
field.name for col, field in columns.items()
|
|
if col in primary_keys])
|
|
composite_key = True
|
|
|
|
attrs = {'Meta': Meta}
|
|
for column_name, column in columns.items():
|
|
FieldClass = column.field_class
|
|
if FieldClass is not ForeignKeyField and bare_fields:
|
|
FieldClass = BareField
|
|
elif FieldClass is UnknownField:
|
|
FieldClass = BareField
|
|
|
|
params = {
|
|
'column_name': column_name,
|
|
'null': column.nullable}
|
|
if column.primary_key and composite_key:
|
|
if FieldClass is AutoField:
|
|
FieldClass = IntegerField
|
|
params['primary_key'] = False
|
|
elif column.primary_key and FieldClass is not AutoField:
|
|
params['primary_key'] = True
|
|
if column.is_foreign_key():
|
|
if column.is_self_referential_fk():
|
|
params['model'] = 'self'
|
|
else:
|
|
dest_table = column.foreign_key.dest_table
|
|
params['model'] = models[dest_table]
|
|
if column.to_field:
|
|
params['field'] = column.to_field
|
|
|
|
# Generate a unique related name.
|
|
params['backref'] = '%s_%s_rel' % (table, column_name)
|
|
|
|
if column.default is not None:
|
|
constraint = SQL('DEFAULT %s' % column.default)
|
|
params['constraints'] = [constraint]
|
|
|
|
if column_name in column_indexes and not \
|
|
column.is_primary_key():
|
|
if column_indexes[column_name]:
|
|
params['unique'] = True
|
|
elif not column.is_foreign_key():
|
|
params['index'] = True
|
|
|
|
attrs[column.name] = FieldClass(**params)
|
|
|
|
try:
|
|
models[table] = type(str(table), (BaseModel,), attrs)
|
|
except ValueError:
|
|
if not skip_invalid:
|
|
raise
|
|
|
|
# Actually generate Model classes.
|
|
for table, model in sorted(database.model_names.items()):
|
|
if table not in models:
|
|
_create_model(table, models)
|
|
|
|
return models
|
|
|
|
|
|
def introspect(database, schema=None):
|
|
introspector = Introspector.from_database(database, schema=schema)
|
|
return introspector.introspect()
|
|
|
|
|
|
def generate_models(database, schema=None, **options):
|
|
introspector = Introspector.from_database(database, schema=schema)
|
|
return introspector.generate_models(**options)
|
|
|
|
|
|
def print_model(model, indexes=True, inline_indexes=False):
|
|
print(model._meta.name)
|
|
for field in model._meta.sorted_fields:
|
|
parts = [' %s %s' % (field.name, field.field_type)]
|
|
if field.primary_key:
|
|
parts.append(' PK')
|
|
elif inline_indexes:
|
|
if field.unique:
|
|
parts.append(' UNIQUE')
|
|
elif field.index:
|
|
parts.append(' INDEX')
|
|
if isinstance(field, ForeignKeyField):
|
|
parts.append(' FK: %s.%s' % (field.rel_model.__name__,
|
|
field.rel_field.name))
|
|
print(''.join(parts))
|
|
|
|
if indexes:
|
|
index_list = model._meta.fields_to_index()
|
|
if not index_list:
|
|
return
|
|
|
|
print('\nindex(es)')
|
|
for index in index_list:
|
|
parts = [' ']
|
|
ctx = model._meta.database.get_sql_context()
|
|
with ctx.scope_values(param='%s', quote='""'):
|
|
ctx.sql(CommaNodeList(index._expressions))
|
|
if index._where:
|
|
ctx.literal(' WHERE ')
|
|
ctx.sql(index._where)
|
|
sql, params = ctx.query()
|
|
|
|
clean = sql % tuple(map(_query_val_transform, params))
|
|
parts.append(clean.replace('"', ''))
|
|
|
|
if index._unique:
|
|
parts.append(' UNIQUE')
|
|
print(''.join(parts))
|
|
|
|
|
|
def get_table_sql(model):
|
|
sql, params = model._schema._create_table().query()
|
|
if model._meta.database.param != '%s':
|
|
sql = sql.replace(model._meta.database.param, '%s')
|
|
|
|
# Format and indent the table declaration, simplest possible approach.
|
|
match_obj = re.match('^(.+?\()(.+)(\).*)', sql)
|
|
create, columns, extra = match_obj.groups()
|
|
indented = ',\n'.join(' %s' % column for column in columns.split(', '))
|
|
|
|
clean = '\n'.join((create, indented, extra)).strip()
|
|
return clean % tuple(map(_query_val_transform, params))
|
|
|
|
def print_table_sql(model):
|
|
print(get_table_sql(model))
|