Merge and write periods

[FelixMau]

Closes #40 Check on periods and write them to the Data a method within Datapackage has been created. The Method

1. Checks if all given sequences are equal and of same length (if not equal a warning will be raised)
2. Calls another function for every element
3. Grouping the Instances of the element via the given name
4. Then aggregating every column based on what the column contains, there are 4 types: 4.1. If the contents are dicts the first dicts is being used. 4.2. If the contents are lists or pandas sequences (plumbin._Sequence is not allowed) check if length the sum of found lists
   is equal to sequence length those sequences are added to timeseries data and foreign keys are written and updated 4.3 If all entries in the column are equal, only unique values is written 4.4 If the entries in columns are not all equal, a list with its values is written

• [x] Run mock test
• [x] Run hack-a-thon to package creation

[FelixMau]

Checks are still failing but I cannot really fix them until a propper Datapackage can be created and has been tested valid. Also #44 needs to be closed before better tests can be written, I'll work on #44 on Monday and then start working on tests again from this point onwards.

[henhuy]

I would have merged period scalars before parametrizing facades, aka one step before https://github.com/sedos-project/data_adapter_oemof/blob/39c9c469805853741151d3118a80a81feddcd606/data_adapter_oemof/build_datapackage.py#L372 This would preserve facade internal checks. Additionally, we would not have to create more facades than needed (for each period) and aggregate them later into single facades (which is also confusing IMO). Could you refactor code, so that period-aggregation is done before L372 and period scalars go into parametrization? I think as you already prepared the functions this is easy...

[FelixMau]

Moving aggregation functionality to begining of build_datapackage for clean pipeline. Yet the moving leads to an issue related to saving the preiodic values.

When parametrizing the components and periodic values are found we discussed to save them as lists of full length into the field. When saving the datapackage the full length list would be saved, taking up a lot of memory and leading to humanly unreadable data.

I have two ideas for solving the issue:

1. When parametrizing the decorated new_init can be extended to not plug values into plumbing and save them as they are. @nailend Do have a draft already how and wehre multiperiods are read in or have another Idea on this issue?
2. Check whether fields are List (or _Sequence) on as_dict call. If it is a list write the unique values of the list.

[nailend]

When parametrizing the components and periodic values are found we discussed to save them as lists of full length into the field. When saving the datapackage the full length list would be saved, taking up a lot of memory and leading to humanly unreadable data.

No, we decided to move the "to full length" extraction into tabular. In the oemof.adapter periodic values shall be written in a list with periodic-values only. e.g. [1,2,3]. So just check if the values are unique and if not write them in a list.

@nailend Do have a draft already how and wehre multiperiods are read in or have another Idea on this issue?

Not yet, but this shouldn't be a dependency for this.

[nailend]

The deserialization of periodic values in oemof.tabular will be taken care of in PR#124