def dubbed_video_data_from_api(lang_code):
k = Khan(lang=lang_code)
videos = k.get_videos()
return {
v["youtube_id"]: v["translated_youtube_id"]
for v in videos if v["youtube_id"] != v["translated_youtube_id"]
}
def retrieve_API_data(channel=None):
# TODO(jamalex): See how much of what we do here can be replaced by KA's new projection-based API
# http://www.khanacademy.org/api/v2/topics/topictree?projection={"topics":[{"slug":1,"childData":[{"id":1}]}]}
khan = Khan()
logging.info("Fetching Khan topic tree")
topic_tree = khan.get_topic_tree()
logging.info("Fetching Khan exercises")
exercises = khan.get_exercises()
exercises_dummy = khan.get_exercises()
logging.info("Fetching Khan videos")
content = khan.get_videos()
# Hack to hardcode the mp4 format flag on Videos.
for con in content:
con["format"] = "mp4"
# Compute and save file sizes
logging.info("Checking remote content file sizes...")
try:
with open(REMOTE_VIDEO_SIZE_FILEPATH, "r") as fp:
old_sizes = json.load(fp)
except:
old_sizes = {}
blacklist = [key for key, val in old_sizes.items() if val > 0] # exclude any we already know about
sizes_by_id, sizes = query_remote_content_file_sizes(content, blacklist=blacklist)
ensure_dir(os.path.dirname(REMOTE_VIDEO_SIZE_FILEPATH))
old_sizes.update(sizes_by_id)
sizes = OrderedDict(sorted(old_sizes.items()))
with open(REMOTE_VIDEO_SIZE_FILEPATH, "w") as fp:
json.dump(sizes, fp, indent=2)
logging.info("Finished checking remote content file sizes...")
assessment_items = []
# Limit number of simultaneous requests
semaphore = threading.BoundedSemaphore(100)
def fetch_assessment_data(exercise):
logging.info("Fetching Assessment Item Data for {exercise}".format(exercise=exercise.display_name))
for assessment_item in exercise.all_assessment_items:
counter = 0
wait = 5
while wait:
try:
semaphore.acquire()
logging.info("Fetching assessment item {assessment}".format(assessment=assessment_item["id"]))
assessment_data = khan.get_assessment_item(assessment_item["id"])
semaphore.release()
if assessment_data.get("item_data"):
wait = 0
assessment_items.append(assessment_data)
else:
logging.info("Fetching assessment item {assessment} failed retrying in {wait}".format(assessment=assessment_item["id"], wait=wait))
time.sleep(wait)
wait = wait*2
counter += 1
except (requests.ConnectionError, requests.Timeout):
semaphore.release()
time.sleep(wait)
wait = wait*2
counter += 1
if counter > 5:
logging.info("Fetching assessment item {assessment} failed more than 5 times, aborting".format(assessment=assessment_item["id"]))
break
threads = [threading.Thread(target=fetch_assessment_data, args=(exercise,)) for exercise in exercises_dummy]
for thread in threads:
thread.start()
for thread in threads:
thread.join()
return topic_tree, exercises, assessment_items, content
def retrieve_API_data(channel=None):
# TODO(jamalex): See how much of what we do here can be replaced by KA's new projection-based API
# http://www.khanacademy.org/api/v2/topics/topictree?projection={"topics":[{"slug":1,"childData":[{"id":1}]}]}
khan = Khan()
logging.info("Fetching Khan topic tree")
topic_tree = khan.get_topic_tree()
logging.info("Fetching Khan exercises")
exercises = khan.get_exercises()
exercises_dummy = khan.get_exercises()
logging.info("Fetching Khan videos")
content = khan.get_videos()
# Hack to hardcode the mp4 format flag on Videos.
for con in content:
con["format"] = "mp4"
# Compute and save file sizes
logging.info("Checking remote content file sizes...")
try:
with open(REMOTE_VIDEO_SIZE_FILEPATH, "r") as fp:
old_sizes = json.load(fp)
except:
old_sizes = {}
blacklist = [key for key, val in old_sizes.items()
if val > 0] # exclude any we already know about
sizes_by_id, sizes = query_remote_content_file_sizes(content,
blacklist=blacklist)
ensure_dir(os.path.dirname(REMOTE_VIDEO_SIZE_FILEPATH))
old_sizes.update(sizes_by_id)
sizes = OrderedDict(sorted(old_sizes.items()))
with open(REMOTE_VIDEO_SIZE_FILEPATH, "w") as fp:
json.dump(sizes, fp, indent=2)
logging.info("Finished checking remote content file sizes...")
assessment_items = []
# Limit number of simultaneous requests
semaphore = threading.BoundedSemaphore(100)
def fetch_assessment_data(exercise):
logging.info("Fetching Assessment Item Data for {exercise}".format(
exercise=exercise.display_name))
for assessment_item in exercise.all_assessment_items:
counter = 0
wait = 5
while wait:
try:
semaphore.acquire()
logging.info(
"Fetching assessment item {assessment}".format(
assessment=assessment_item["id"]))
assessment_data = khan.get_assessment_item(
assessment_item["id"])
semaphore.release()
if assessment_data.get("item_data"):
wait = 0
assessment_items.append(assessment_data)
else:
logging.info(
"Fetching assessment item {assessment} failed retrying in {wait}"
.format(assessment=assessment_item["id"],
wait=wait))
time.sleep(wait)
wait = wait * 2
counter += 1
except (requests.ConnectionError, requests.Timeout):
semaphore.release()
time.sleep(wait)
wait = wait * 2
counter += 1
if counter > 5:
logging.info(
"Fetching assessment item {assessment} failed more than 5 times, aborting"
.format(assessment=assessment_item["id"]))
break
threads = [
threading.Thread(target=fetch_assessment_data, args=(exercise, ))
for exercise in exercises_dummy
]
for thread in threads:
thread.start()
for thread in threads:
thread.join()
return topic_tree, exercises, assessment_items, content
def dubbed_video_data_from_api(lang_code):
k = Khan(lang=lang_code)
videos = k.get_videos()
return {v["youtube_id"]: v["translated_youtube_id"] for v in videos if v["youtube_id"] != v["translated_youtube_id"]}