def get_essaygrade_data(slumber_data, essaygrades):
"""
For a given essay, extract the rubric and essay grades
slumber_data - the dict for the essay model retrieved by slumber from the api
essaygrades - a list of all the essaygrade objects for the user
"""
# Get the problem id from the essay
problem_id = slumber_data['problem'].split('/')[5]
essaygrade_data = []
# Loop through all of the essaygrades attached to the essay
for z in xrange(0, len(slumber_data['essaygrades'])):
# Get the id of the essaygrade
essaygrade_id = slumber_data['essaygrades'][z].split('/')[5]
# Loop through the list of all the users's essaygrades to find a match
for i in xrange(0, len(essaygrades)):
# If there is a match, get the scored rubric data
if int(essaygrade_id) == int(essaygrades[i]['id']):
# Try to extract and parse the target scores
target_scores = essaygrades[i]['target_scores']
try:
target_scores = json.loads(target_scores)
except:
pass
# Retrieve the local rubric, and match with the target scores.
rubric_data = rubric_functions.get_rubric_data(
problem_id, target_scores)
# Add the rubric data to the essaygrade
essaygrades[i]['rubric'] = rubric_data
essaygrade_data.append(essaygrades[i])
return essaygrade_data
def get_essaygrade_data(slumber_data, essaygrades):
"""
For a given essay, extract the rubric and essay grades
slumber_data - the dict for the essay model retrieved by slumber from the api
essaygrades - a list of all the essaygrade objects for the user
"""
# Get the problem id from the essay
problem_id = slumber_data['problem'].split('/')[5]
essaygrade_data = []
# Loop through all of the essaygrades attached to the essay
for z in xrange(0, len(slumber_data['essaygrades'])):
# Get the id of the essaygrade
essaygrade_id = slumber_data['essaygrades'][z].split('/')[5]
# Loop through the list of all the users's essaygrades to find a match
for i in xrange(0, len(essaygrades)):
# If there is a match, get the scored rubric data
if int(essaygrade_id) == int(essaygrades[i]['id']):
# Try to extract and parse the target scores
target_scores = essaygrades[i]['target_scores']
try:
target_scores = json.loads(target_scores)
except:
pass
# Retrieve the local rubric, and match with the target scores.
rubric_data = rubric_functions.get_rubric_data(problem_id, target_scores)
# Add the rubric data to the essaygrade
essaygrades[i]['rubric'] = rubric_data
essaygrade_data.append(essaygrades[i])
return essaygrade_data
def get_rubric_data(model, slumber_data):
"""
Get the rubric data for a given data file and attach it.
model - a model type, currently "problem" or "essay"
slumber_data - a dict returned by slumber from the api
"""
# Extract the problem id
if model == "problem":
problem_id = slumber_data['id']
else:
problem_id = slumber_data['problem'].split('/')[5]
# Try to get the local rubric data matching the problem id
rubric_data = []
try:
rubric_data = rubric_functions.get_rubric_data(problem_id)
except:
log.error("Could not find rubric for problem id {0}.".format(problem_id))
return rubric_data
def get_rubric_data(model, slumber_data):
"""
Get the rubric data for a given data file and attach it.
model - a model type, currently "problem" or "essay"
slumber_data - a dict returned by slumber from the api
"""
# Extract the problem id
if model == "problem":
problem_id = slumber_data['id']
else:
problem_id = slumber_data['problem'].split('/')[5]
# Try to get the local rubric data matching the problem id
rubric_data = []
try:
rubric_data = rubric_functions.get_rubric_data(problem_id)
except:
log.error(
"Could not find rubric for problem id {0}.".format(problem_id))
return rubric_data
