ftrack_api.entity.project_schema

class ftrack_api.entity.project_schema.ProjectSchema(session, data=None, reconstructing=False)

Class representing ProjectSchema.

get_statuses(schema, type_id=None)

Return statuses for schema and optional type_id.

type_id is the id of the Type for a TypedContext and can be used to get statuses where the workflow has been overridden.

get_types(schema)

Return types for schema.

__init__(session, data=None, reconstructing=False)

Initialise entity.

session is an instance of ftrack_api.session.Session that this entity instance is bound to.

data is a mapping of key, value pairs to apply as initial attribute values.

reconstructing indicates whether this entity is being reconstructed, such as from a query, and therefore should not have any special creation logic applied, such as initialising defaults for missing data.

attributes = None

clear()

Reset all locally modified attribute values.

default_projections = None

entity_type = 'Entity'

get(k[, d]) → D[k] if k in D, else d.  d defaults to None.

items()

Return list of tuples of (key, value) pairs.

Note

Will fetch all values from the server if not already fetched or set locally.

keys() → a set-like object providing a view on D's keys

merge(entity, merged=None)

Merge entity attribute values and other data into this entity.

Only merge values from entity that are not ftrack_api.symbol.NOT_SET.

Return a list of changes made with each change being a mapping with the keys:

• type - Either ‘remote_attribute’, ‘local_attribute’ or ‘property’.

• name - The name of the attribute / property modified.

• old_value - The previous value.

• new_value - The new merged value.

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

primary_key_attributes = None

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

values()

Return list of values.