def set_employee(uuid, arguments):
try:
employee = appcache.get_employee(uuid)
properties = model_employee.Employee.properties()
if employee is None:
employee = model_employee.Employee(key_name=uuid, id=uuid)
logging.debug('datastore.py : set_employee() : Creating new Employee with '+uuid)
else:
logging.debug('datastore.py : set_employee() : Employee '+uuid+' already exists')
# For each of the arguments received...
for key, value in arguments.items():
# Ensure it is an attribute of the Employee model subclass
if properties.has_key(key) and value is not None and value != '':
# If of type boolean...
if properties[key].data_type is bool:
setattr(employee, key, bool(arguments[key]))
else:
setattr(employee, key, arguments[key])
# Set the Date Last Modified timestamp
employee.date_last_modified = datetime.datetime.now()
# Save the Employee
employee.put()
# Save the Employee to memcache
saved = appcache.set_employee(uuid, employee)
# Reset all memcached Employees
saved_employees = appcache.set_all_employees()
return uuid
except (CapabilityDisabledError, Exception), e:
logging.error(e)
raise e
def set_employee_skill(uuid, skill):
try:
# Get the Employee from the Datastore
employee = appcache.get_employee(uuid)
# If this fails, return False, as we do not have an Employee that exists yet
if employee is None:
logging.error('datastore.py : set_employee_skills() : No Employee with UUID of '+uuid+' exists, so cannot store Skills')
return False
skills = appcache.get_all_skills()
skills.filter('employee = ', employee)
skills.filter('name = ', skill.name)
# Get the first result (there should be only one in any case)
skill_to_add = skills.get()
# If the Skills filter result is empty
if skill_to_add is not None:
logging.debug('set_employee_skill() : We have an existing Skill for Employee '+uuid+' with name of '+skill.name+'. Overwriting that Skill')
# Else the Skill already exists. Rather than delete (additional datastore write) and create a new instance, let's just overwrite it
else:
logging.debug('set_employee_skill() : We don\'t have an existing Skill for Employee '+uuid+' with name of '+skill.name+'. Creating new Skill instance')
# Set the Skill to add to be a new Skill model instance
skill_to_add = model_skill.Skill()
# Set Skill properties
skill_to_add.name=skill.name
skill_to_add.name_index=skill.name_index
skill_to_add.proficiency_index=skill.proficiency_index
skill_to_add.proficiency_level=skill.proficiency_level
skill_to_add.proficiency_name=skill.proficiency_name
skill_to_add.years_id=skill.years_id
skill_to_add.years_name=skill.years_name
skill_to_add.employee=employee
# Save Skill to Datastore
skill_to_add.put()
# Save all Skills to memcache (also updates)
skills = appcache.set_all_skills()
# Query all Skills, returning Keys only
# TODO: Use Memcache script for consistent separation of concerns
employee_skills_keys = model_skill.Skill.all(keys_only=True)
# Filter by Employee only
# We are getting all Skill Keys for the Employee, instead of attempting to find a porentially previously existing Key in the employee.skils list and replacing it
employee_skills_keys.filter('employee = ', employee)
list_of_skill_keys = list()
for skill_key in employee_skills_keys:
list_of_skill_keys.append(skill_key)
# Set Employee Skill Keys
employee.skills = list_of_skill_keys
# Set the Date Last Modified timestamp
employee.date_last_modified = datetime.datetime.now()
# Save Employee to Datastore
employee.put()
# Update memcache for Employee
# We have to get it from Datastore again as the put() command will not update the Employee instance we created in this method
employee = model_employee.Employee.get_by_key_name(uuid)
appcache.set_employee(uuid, employee)
# Update memecaceh with Employee Skills
employee_skills = model_skill.Skill.get(employee.skills)
appcache.set_employee_skills(uuid, employee_skills)
# Update memcache for Employees
appcache.set_all_employees()
return uuid
except (CapabilityDisabledError, Exception), e:
logging.error(e)
raise e