| 1 | ''' |
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| 2 | DDL statements for Elixir. |
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| 3 | |
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| 4 | Entities having the perform_ddl statement, will automatically execute the |
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| 5 | given DDL statement, at the given moment: ether before or after the table |
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| 6 | creation in SQL. |
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| 7 | |
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| 8 | The 'when' argument can be either 'before-create' or 'after-create'. |
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| 9 | The 'statement' argument can be one of: |
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| 10 | |
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| 11 | - a single string statement |
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| 12 | - a list of string statements, in which case, each of them will be executed |
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| 13 | in turn. |
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| 14 | - a callable which should take no argument and return either a single string |
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| 15 | or a list of strings. |
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| 16 | |
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| 17 | In each string statement, you may use the special '%(fullname)s' construct, |
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| 18 | that will be replaced with the real table name including schema, if unknown |
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| 19 | to you. Also, self explained '%(table)s' and '%(schema)s' may be used here. |
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| 20 | |
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| 21 | You would use this extension to handle non elixir sql statemts, like triggers |
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| 22 | etc. |
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| 23 | |
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| 24 | .. sourcecode:: python |
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| 25 | |
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| 26 | class Movie(Entity): |
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| 27 | title = Field(Unicode(30), primary_key=True) |
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| 28 | year = Field(Integer) |
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| 29 | |
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| 30 | perform_ddl('after-create', |
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| 31 | "insert into %(fullname)s values ('Alien', 1979)") |
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| 32 | |
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| 33 | preload_data is a more specific statement meant to preload data in your |
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| 34 | entity table from a list of tuples (of fields values for each row). |
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| 35 | |
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| 36 | .. sourcecode:: python |
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| 37 | |
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| 38 | class Movie(Entity): |
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| 39 | title = Field(Unicode(30), primary_key=True) |
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| 40 | year = Field(Integer) |
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| 41 | |
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| 42 | preload_data(('title', 'year'), |
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| 43 | [(u'Alien', 1979), (u'Star Wars', 1977)]) |
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| 44 | preload_data(('year', 'title'), |
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| 45 | [(1982, u'Blade Runner')]) |
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| 46 | preload_data(data=[(u'Batman', 1966)]) |
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| 47 | ''' |
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| 48 | |
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| 49 | from elixir.statements import Statement |
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| 50 | from elixir.properties import EntityBuilder |
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| 51 | from sqlalchemy import DDL |
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| 52 | |
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| 53 | __all__ = ['perform_ddl', 'preload_data'] |
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| 54 | __doc_all__ = [] |
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| 55 | |
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| 56 | # |
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| 57 | # the perform_ddl statement |
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| 58 | # |
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| 59 | class PerformDDLEntityBuilder(EntityBuilder): |
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| 60 | |
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| 61 | def __init__(self, entity, when, statement, on=None, context=None): |
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| 62 | self.entity = entity |
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| 63 | self.when = when |
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| 64 | self.statement = statement |
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| 65 | self.on = on |
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| 66 | self.context = context |
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| 67 | |
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| 68 | def after_table(self): |
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| 69 | statement = self.statement |
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| 70 | if hasattr(statement, '__call__'): |
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| 71 | statement = statement() |
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| 72 | if not isinstance(statement, list): |
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| 73 | statement = [statement] |
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| 74 | for s in statement: |
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| 75 | ddl = DDL(s, self.on, self.context) |
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| 76 | ddl.execute_at(self.when, self.entity.table) |
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| 77 | |
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| 78 | perform_ddl = Statement(PerformDDLEntityBuilder) |
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| 79 | |
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| 80 | # |
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| 81 | # the preload_data statement |
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| 82 | # |
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| 83 | class PreloadDataEntityBuilder(EntityBuilder): |
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| 84 | |
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| 85 | def __init__(self, entity, columns=None, data=None): |
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| 86 | self.entity = entity |
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| 87 | self.columns = columns |
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| 88 | self.data = data |
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| 89 | |
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| 90 | def after_table(self): |
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| 91 | all_columns = [col.name for col in self.entity.table.columns] |
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| 92 | def onload(event, schema_item, connection): |
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| 93 | columns = self.columns |
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| 94 | if columns is None: |
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| 95 | columns = all_columns |
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| 96 | data = self.data |
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| 97 | if hasattr(data, '__call__'): |
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| 98 | data = data() |
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| 99 | insert = schema_item.insert() |
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| 100 | connection.execute(insert, |
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| 101 | [dict(zip(columns, values)) for values in data]) |
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| 102 | |
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| 103 | self.entity.table.append_ddl_listener('after-create', onload) |
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| 104 | |
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| 105 | preload_data = Statement(PreloadDataEntityBuilder) |
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