from time import gmtime
from time import strftime
[docs]class ShedCounter( object ):
def __init__( self, model ):
# TODO: Enhance the ShedCounter to retrieve information from the db instead of displaying what's currently in memory.
self.model = model
self.custom_datatypes = 0
self.generation_time = strftime( "%b %d, %Y", gmtime() )
self.deleted_repositories = 0
self.deprecated_repositories = 0
self.invalid_versions_of_tools = 0
self.repositories = 0
self.total_clones = 0
self.valid_versions_of_tools = 0
self.unique_owners = 0
self.unique_valid_tools = 0
self.workflows = 0
self.generate_statistics()
@property
def sa_session( self ):
"""Returns a SQLAlchemy session"""
return self.model.context
[docs] def generate_statistics( self ):
self.custom_datatypes = 0
self.deleted_repositories = 0
self.deprecated_repositories = 0
self.invalid_versions_of_tools = 0
self.repositories = 0
self.total_clones = 0
self.unique_owners = 0
self.valid_versions_of_tools = 0
self.unique_valid_tools = 0
self.workflows = 0
unique_user_ids = []
for repository in self.sa_session.query( self.model.Repository ):
self.repositories += 1
self.total_clones += repository.times_downloaded
is_deleted = repository.deleted
if is_deleted:
self.deleted_repositories += 1
else:
if repository.deprecated:
self.deprecated_repositories += 1
if repository.user_id not in unique_user_ids:
self.unique_owners += 1
unique_user_ids.append( repository.user_id )
processed_datatypes = []
processed_guids = []
processed_invalid_tool_configs = []
processed_relative_workflow_paths = []
processed_tool_ids = []
# A repository's metadata_revisions are those that ignore the value of the
# repository_metadata.downloadable column.
for metadata_revision in repository.metadata_revisions:
metadata = metadata_revision.metadata
if 'tools' in metadata:
tool_dicts = metadata[ 'tools' ]
for tool_dict in tool_dicts:
if 'guid' in tool_dict:
guid = tool_dict[ 'guid' ]
if guid not in processed_guids:
self.valid_versions_of_tools += 1
processed_guids.append( guid )
if 'id' in tool_dict:
tool_id = tool_dict[ 'id' ]
if tool_id not in processed_tool_ids:
self.unique_valid_tools += 1
processed_tool_ids.append( tool_id )
if 'invalid_tools' in metadata:
invalid_tool_configs = metadata[ 'invalid_tools' ]
for invalid_tool_config in invalid_tool_configs:
if invalid_tool_config not in processed_invalid_tool_configs:
self.invalid_versions_of_tools += 1
processed_invalid_tool_configs.append( invalid_tool_config )
if 'datatypes' in metadata:
datatypes = metadata[ 'datatypes' ]
for datatypes_dict in datatypes:
if 'extension' in datatypes_dict:
extension = datatypes_dict[ 'extension' ]
if extension not in processed_datatypes:
self.custom_datatypes += 1
processed_datatypes.append( extension )
if 'workflows' in metadata:
workflows = metadata[ 'workflows' ]
for workflow_tup in workflows:
relative_path, exported_workflow_dict = workflow_tup
if relative_path not in processed_relative_workflow_paths:
self.workflows += 1
processed_relative_workflow_paths.append( relative_path )
self.generation_time = strftime( "%b %d, %Y", gmtime() )