Problem

We need two things:

Add a Metadata object to hold some persistent user-configuration data such as the model to use when performing a classification and where to find it.
Add two fields to the ScrapedData scheme:
- label : str = Classification label, needed to check if a row was already labeled and which label it was assigned.
- source : str = Where did this data came from, useful to get a hint of how thrustful a label is. For example, a label assigned by some human will be way more trustworthy than a one created by a trained classifier.

Solution

Add such fields to the ScrapedData class, requiring us to update the PersistencyManager implementation, and some functions in the CLI tool.
Add the Metadata class, which is json serializable in order to easily save it and parse it from a local file. Also, update the manager to add it to its constructor

Added a command for browsing local-stored experiments: c4v experiment ls, c4v experiment summary
Added bulk classification to microscope.Manager object and Classifier object
Added a command to classify and label rows without label c4v classify <experiment_name> pending

src/c4v/scraper/scraped_data_classes/scraped_data.py = File with the ScrapedData scheme
src/c4v/scraper/persistency_manager/sqlite_persistency_manager.py = The PersistencyManager implementation that required to be updated with the scheme changes
src/c4v/microscope/metadata.py = Metadata class
src/c4v/microscope/manager.py = Manager object to be updated to add the Metadata and the bulk classification function
src/c4v/c4v_cli.py = New commands added