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""" |
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Module to store and restore input- and result-data from oemof into database. |
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Works with oemof version 2.0 |
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Notes |
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----- |
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By now, table names are static - if you are not satisfied with resulting |
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table names, you have to change code yourself! |
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Examples |
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-------- |
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The following code will setup your sqlalchemy session and |
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create all needed tables in database: |
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.. code-block:: python |
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from sqlalchemy import orm, create_engine |
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from oemof.db import results |
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# You have to add valid SQLAlchemy URL-string first! |
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engine = create_engine(db_url) |
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SqlAlchemySession = orm.sessionmaker(bind=engine) |
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results.Base.metadata.bind = engine |
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results.Base.metadata.create_all() |
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The following code stores your data into DB: |
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.. code-block:: python |
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sa_session = SqlAlchemySession() |
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results.store_results(sa_session, input_dict, result_dict) |
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sa_session.close() |
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The following code restores your data from DB: |
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.. code-block:: python |
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sa_session = SqlAlchemySession() |
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input_dict, result_dict = results.restore_results(sa_session, result_id) |
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sa_session.close() |
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""" |
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from sqlalchemy import ARRAY, Column, ForeignKey, Integer, String |
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from sqlalchemy.dialects.postgresql import DOUBLE_PRECISION |
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from sqlalchemy.ext.declarative import declarative_base |
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from sqlalchemy.orm import relationship |
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import pandas |
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from oemof.solph.processing import convert_keys_to_strings |
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Base = declarative_base() |
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class OemofInputResult(Base): |
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__tablename__ = 'oemof_input_result' |
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input_result_id = Column( |
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Integer, |
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primary_key=True |
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) |
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input_id = Column(Integer, ForeignKey('oemof_data.data_id')) |
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result_id = Column(Integer, ForeignKey('oemof_data.data_id')) |
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input = relationship( |
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"OemofData", |
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backref="input", |
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uselist=False, |
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foreign_keys=[input_id], |
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) |
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result = relationship( |
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"OemofData", |
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backref="result", |
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uselist=False, |
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foreign_keys=[result_id], |
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) |
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class OemofData(Base): |
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__tablename__ = 'oemof_data' |
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data_id = Column( |
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Integer, |
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primary_key=True |
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) |
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scalars = relationship("OemofScalar", cascade="delete") |
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sequences = relationship("OemofSequence", cascade="delete") |
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class OemofScalar(Base): |
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__tablename__ = 'oemof_scalar' |
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scalar_id = Column( |
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Integer, |
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primary_key=True |
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) |
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data_id = Column( |
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Integer, ForeignKey('oemof_data.data_id')) |
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from_node = Column( |
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String |
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) |
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to_node = Column( |
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String |
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) |
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attribute = Column( |
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String |
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) |
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value = Column( |
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String |
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) |
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type = Column( |
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String |
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) |
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class OemofSequence(Base): |
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__tablename__ = 'oemof_sequence' |
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sequence_id = Column( |
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Integer, |
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primary_key=True |
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) |
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data_id = Column( |
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Integer, ForeignKey('oemof_data.data_id')) |
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from_node = Column( |
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String |
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) |
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to_node = Column( |
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String, |
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nullable=True |
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) |
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attribute = Column( |
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String |
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) |
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value = Column( |
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ARRAY(DOUBLE_PRECISION) |
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) |
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type = Column( |
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String |
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) |
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def store_results(session, input_data, result_data): |
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""" |
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Stores inputs and results from oemof into DB |
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For each in entry in scalars and sequences of both input- and result-data |
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an OemofScalar or OemofSequence is build and connected to an OemofData |
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object representing either input or result data. At last, both OemofData |
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objects are connected to OemofInputResult object and resulting index is |
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returned. |
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Parameters |
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---------- |
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session: sqlalchemy.session |
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SQLAlchemy session build via sqlalchemy.orm.sessionmaker |
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input_data: dict |
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Output of oemof.outputlib.processing.param_results with nodes as str |
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(use oemof.outputlib.processing.convert_keys_to_str if necessary) |
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result_data: dict |
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Output of oemof.outputlib.processing.param_results with nodes as str |
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(use oemof.outputlib.processing.convert_keys_to_str if necessary) |
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Returns |
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------- |
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int: Index of created OemofInputResult entry |
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""" |
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# Check if nodes are strings: |
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if not isinstance(next(iter(input_data)), str): |
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input_data = convert_keys_to_strings(input_data) |
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if not isinstance(next(iter(result_data)), str): |
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result_data = convert_keys_to_strings(result_data) |
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input_result = OemofInputResult() |
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for input_result_attr, data in ( |
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('input', input_data), ('result', result_data)): |
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scalars = [] |
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sequences = [] |
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for (from_node, to_node), sc_sq_dict in data.items(): |
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for key, value in sc_sq_dict['scalars'].items(): |
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scalars.append( |
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OemofScalar( |
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from_node=from_node, |
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to_node=to_node, |
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attribute=key, |
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value=value, |
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type=type(value).__name__ |
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) |
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) |
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session.add_all(scalars) |
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for key, series in sc_sq_dict['sequences'].items(): |
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list_type = 'list' |
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if isinstance(series, pandas.Series): |
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series = series.values.tolist() |
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list_type = 'series' |
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sequences.append( |
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OemofSequence( |
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from_node=from_node, |
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to_node=to_node, |
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attribute=key, |
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value=series, |
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type=list_type |
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) |
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) |
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session.add_all(sequences) |
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oemof_data = OemofData() |
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oemof_data.scalars = scalars |
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oemof_data.sequences = sequences |
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setattr(input_result, input_result_attr, oemof_data) |
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session.add(input_result) |
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session.flush() |
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result_id = input_result.input_result_id |
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session.commit() |
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return result_id |
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def restore_results(session, input_result_id): |
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""" |
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Restores input and result data from OemofInputResult from DB |
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Parameters |
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---------- |
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session: sqlalchemy.session |
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SQLAlchemy session build via sqlalchemy.orm.sessionmaker |
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input_result_id: int |
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Index of OemofInputResult object to restore |
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Returns |
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------- |
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(dict, dict): |
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Restored input- and result-data |
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""" |
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def type_conversion(value_str, value_type): |
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if value_type == 'str': |
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return value_str |
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elif value_type == 'float': |
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return float(value_str) |
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elif value_type == 'int': |
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return int(value_str) |
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elif value_type == 'bool': |
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return bool(value_str) |
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else: |
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raise TypeError('Unknown conversion type "' + value_type + '"') |
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# Find results: |
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input_result = session.query(OemofInputResult).filter( |
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OemofInputResult.input_result_id == input_result_id).first() |
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if input_result is None: |
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raise IndexError( |
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'Could not find OemofInputResult with ID #' + str(input_result_id)) |
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input_data = {} |
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result_data = {} |
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for input_result_attr, data in ( |
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('input', input_data), ('result', result_data)): |
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ir_attr = getattr(input_result, input_result_attr) |
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for scalar in ir_attr.scalars: |
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nodes = (scalar.from_node, scalar.to_node) |
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if nodes not in data: |
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data[nodes] = {'scalars': {}, 'sequences': {}} |
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data[nodes]['scalars'][scalar.attribute] = type_conversion( |
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scalar.value, scalar.type) |
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for sequence in ir_attr.sequences: |
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nodes = (sequence.from_node, sequence.to_node) |
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if nodes not in data: |
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data[nodes] = {'scalars': {}, 'sequences': {}} |
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if sequence.type == 'series': |
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series = pandas.Series(sequence.value) |
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else: |
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series = sequence.value |
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data[nodes]['sequences'][sequence.attribute] = series |
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return input_data, result_data |
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