ftrack_api.entity.user
- class ftrack_api.entity.user.User(session, data=None, reconstructing=False)[source]
Represent a user.
- start_timer(context=None, comment='', name=None, force=False)[source]
Start a timer for context and return it.
force can be used to automatically stop an existing timer and create a timelog for it. If you need to get access to the created timelog, use
stop_timer()
instead.comment and name are optional but will be set on the timer.
Note
This method will automatically commit the changes and if force is False then it will fail with a
ftrack_api.exception.NotUniqueError
exception if a timer is already running.
- stop_timer()[source]
Stop the current timer and return a timelog created from it.
If a timer is not running, a
ftrack_api.exception.NoResultFoundError
exception will be raised.Note
This method will automatically commit the changes.
- __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.