repository_name stringlengths 5 67 | func_path_in_repository stringlengths 4 234 | func_name stringlengths 0 314 | whole_func_string stringlengths 52 3.87M | language stringclasses 6
values | func_code_string stringlengths 52 3.87M | func_documentation_string stringlengths 1 47.2k | func_code_url stringlengths 85 339 |
|---|---|---|---|---|---|---|---|
edx/edx-val | edxval/api.py | get_transcript_preferences | def get_transcript_preferences(course_id):
"""
Retrieves course wide transcript preferences
Arguments:
course_id (str): course id
"""
try:
transcript_preference = TranscriptPreference.objects.get(course_id=course_id)
except TranscriptPreference.DoesNotExist:
return
... | python | def get_transcript_preferences(course_id):
"""
Retrieves course wide transcript preferences
Arguments:
course_id (str): course id
"""
try:
transcript_preference = TranscriptPreference.objects.get(course_id=course_id)
except TranscriptPreference.DoesNotExist:
return
... | Retrieves course wide transcript preferences
Arguments:
course_id (str): course id | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L419-L431 |
edx/edx-val | edxval/api.py | create_or_update_transcript_preferences | def create_or_update_transcript_preferences(course_id, **preferences):
"""
Creates or updates course-wide transcript preferences
Arguments:
course_id(str): course id
Keyword Arguments:
preferences(dict): keyword arguments
"""
transcript_preference, __ = TranscriptPreference.obj... | python | def create_or_update_transcript_preferences(course_id, **preferences):
"""
Creates or updates course-wide transcript preferences
Arguments:
course_id(str): course id
Keyword Arguments:
preferences(dict): keyword arguments
"""
transcript_preference, __ = TranscriptPreference.obj... | Creates or updates course-wide transcript preferences
Arguments:
course_id(str): course id
Keyword Arguments:
preferences(dict): keyword arguments | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L434-L447 |
edx/edx-val | edxval/api.py | remove_transcript_preferences | def remove_transcript_preferences(course_id):
"""
Deletes course-wide transcript preferences.
Arguments:
course_id(str): course id
"""
try:
transcript_preference = TranscriptPreference.objects.get(course_id=course_id)
transcript_preference.delete()
except TranscriptPrefe... | python | def remove_transcript_preferences(course_id):
"""
Deletes course-wide transcript preferences.
Arguments:
course_id(str): course id
"""
try:
transcript_preference = TranscriptPreference.objects.get(course_id=course_id)
transcript_preference.delete()
except TranscriptPrefe... | Deletes course-wide transcript preferences.
Arguments:
course_id(str): course id | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L450-L461 |
edx/edx-val | edxval/api.py | get_course_video_image_url | def get_course_video_image_url(course_id, edx_video_id):
"""
Returns course video image url or None if no image found
"""
try:
video_image = CourseVideo.objects.select_related('video_image').get(
course_id=course_id, video__edx_video_id=edx_video_id
).video_image
retu... | python | def get_course_video_image_url(course_id, edx_video_id):
"""
Returns course video image url or None if no image found
"""
try:
video_image = CourseVideo.objects.select_related('video_image').get(
course_id=course_id, video__edx_video_id=edx_video_id
).video_image
retu... | Returns course video image url or None if no image found | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L464-L474 |
edx/edx-val | edxval/api.py | update_video_image | def update_video_image(edx_video_id, course_id, image_data, file_name):
"""
Update video image for an existing video.
NOTE: If `image_data` is None then `file_name` value will be used as it is, otherwise
a new file name is constructed based on uuid and extension from `file_name` value.
`image_data`... | python | def update_video_image(edx_video_id, course_id, image_data, file_name):
"""
Update video image for an existing video.
NOTE: If `image_data` is None then `file_name` value will be used as it is, otherwise
a new file name is constructed based on uuid and extension from `file_name` value.
`image_data`... | Update video image for an existing video.
NOTE: If `image_data` is None then `file_name` value will be used as it is, otherwise
a new file name is constructed based on uuid and extension from `file_name` value.
`image_data` will be None in case of course re-run and export.
Arguments:
image_dat... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L477-L506 |
edx/edx-val | edxval/api.py | create_profile | def create_profile(profile_name):
"""
Used to create Profile objects in the database
A profile needs to exists before an EncodedVideo object can be created.
Args:
profile_name (str): ID of the profile
Raises:
ValCannotCreateError: Raised if the profile name is invalid or exists
... | python | def create_profile(profile_name):
"""
Used to create Profile objects in the database
A profile needs to exists before an EncodedVideo object can be created.
Args:
profile_name (str): ID of the profile
Raises:
ValCannotCreateError: Raised if the profile name is invalid or exists
... | Used to create Profile objects in the database
A profile needs to exists before an EncodedVideo object can be created.
Args:
profile_name (str): ID of the profile
Raises:
ValCannotCreateError: Raised if the profile name is invalid or exists | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L509-L526 |
edx/edx-val | edxval/api.py | _get_video | def _get_video(edx_video_id):
"""
Get a Video instance, prefetching encoded video and course information.
Raises ValVideoNotFoundError if the video cannot be retrieved.
"""
try:
return Video.objects.prefetch_related("encoded_videos", "courses").get(edx_video_id=edx_video_id)
except Vide... | python | def _get_video(edx_video_id):
"""
Get a Video instance, prefetching encoded video and course information.
Raises ValVideoNotFoundError if the video cannot be retrieved.
"""
try:
return Video.objects.prefetch_related("encoded_videos", "courses").get(edx_video_id=edx_video_id)
except Vide... | Get a Video instance, prefetching encoded video and course information.
Raises ValVideoNotFoundError if the video cannot be retrieved. | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L529-L543 |
edx/edx-val | edxval/api.py | get_urls_for_profiles | def get_urls_for_profiles(edx_video_id, profiles):
"""
Returns a dict mapping profiles to URLs.
If the profiles or video is not found, urls will be blank.
Args:
edx_video_id (str): id of the video
profiles (list): list of profiles we want to search for
Returns:
(dict): A d... | python | def get_urls_for_profiles(edx_video_id, profiles):
"""
Returns a dict mapping profiles to URLs.
If the profiles or video is not found, urls will be blank.
Args:
edx_video_id (str): id of the video
profiles (list): list of profiles we want to search for
Returns:
(dict): A d... | Returns a dict mapping profiles to URLs.
If the profiles or video is not found, urls will be blank.
Args:
edx_video_id (str): id of the video
profiles (list): list of profiles we want to search for
Returns:
(dict): A dict containing the profile to url pair | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L595-L618 |
edx/edx-val | edxval/api.py | _get_videos_for_filter | def _get_videos_for_filter(video_filter, sort_field=None, sort_dir=SortDirection.asc, pagination_conf=None):
"""
Returns a generator expression that contains the videos found, sorted by
the given field and direction, with ties broken by edx_video_id to ensure a
total order.
"""
videos = Video.ob... | python | def _get_videos_for_filter(video_filter, sort_field=None, sort_dir=SortDirection.asc, pagination_conf=None):
"""
Returns a generator expression that contains the videos found, sorted by
the given field and direction, with ties broken by edx_video_id to ensure a
total order.
"""
videos = Video.ob... | Returns a generator expression that contains the videos found, sorted by
the given field and direction, with ties broken by edx_video_id to ensure a
total order. | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L636-L661 |
edx/edx-val | edxval/api.py | get_course_video_ids_with_youtube_profile | def get_course_video_ids_with_youtube_profile(course_ids=None, offset=None, limit=None):
"""
Returns a list that contains all the course ids and video ids with the youtube profile
Args:
course_ids (list): valid course ids
limit (int): batch records limit
offset (int): an offset f... | python | def get_course_video_ids_with_youtube_profile(course_ids=None, offset=None, limit=None):
"""
Returns a list that contains all the course ids and video ids with the youtube profile
Args:
course_ids (list): valid course ids
limit (int): batch records limit
offset (int): an offset f... | Returns a list that contains all the course ids and video ids with the youtube profile
Args:
course_ids (list): valid course ids
limit (int): batch records limit
offset (int): an offset for selecting a batch
Returns:
(list): Tuples of course_id, edx_video_id and youtube vide... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L664-L700 |
edx/edx-val | edxval/api.py | get_videos_for_course | def get_videos_for_course(course_id, sort_field=None, sort_dir=SortDirection.asc, pagination_conf=None):
"""
Returns an iterator of videos for the given course id.
Args:
course_id (String)
sort_field (VideoSortField)
sort_dir (SortDirection)
Returns:
A generator express... | python | def get_videos_for_course(course_id, sort_field=None, sort_dir=SortDirection.asc, pagination_conf=None):
"""
Returns an iterator of videos for the given course id.
Args:
course_id (String)
sort_field (VideoSortField)
sort_dir (SortDirection)
Returns:
A generator express... | Returns an iterator of videos for the given course id.
Args:
course_id (String)
sort_field (VideoSortField)
sort_dir (SortDirection)
Returns:
A generator expression that contains the videos found, sorted by the
given field and direction, with ties broken by edx_video_id... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L703-L722 |
edx/edx-val | edxval/api.py | remove_video_for_course | def remove_video_for_course(course_id, edx_video_id):
"""
Soft deletes video for particular course.
Arguments:
course_id (str): id of the course
edx_video_id (str): id of the video to be hidden
"""
course_video = CourseVideo.objects.get(course_id=course_id, video__edx_video_id=edx_v... | python | def remove_video_for_course(course_id, edx_video_id):
"""
Soft deletes video for particular course.
Arguments:
course_id (str): id of the course
edx_video_id (str): id of the video to be hidden
"""
course_video = CourseVideo.objects.get(course_id=course_id, video__edx_video_id=edx_v... | Soft deletes video for particular course.
Arguments:
course_id (str): id of the course
edx_video_id (str): id of the video to be hidden | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L725-L735 |
edx/edx-val | edxval/api.py | get_videos_for_ids | def get_videos_for_ids(
edx_video_ids,
sort_field=None,
sort_dir=SortDirection.asc
):
"""
Returns an iterator of videos that match the given list of ids.
Args:
edx_video_ids (list)
sort_field (VideoSortField)
sort_dir (SortDirection)
Returns:
A g... | python | def get_videos_for_ids(
edx_video_ids,
sort_field=None,
sort_dir=SortDirection.asc
):
"""
Returns an iterator of videos that match the given list of ids.
Args:
edx_video_ids (list)
sort_field (VideoSortField)
sort_dir (SortDirection)
Returns:
A g... | Returns an iterator of videos that match the given list of ids.
Args:
edx_video_ids (list)
sort_field (VideoSortField)
sort_dir (SortDirection)
Returns:
A generator expression that contains the videos found, sorted by the
given field and direction, with ties broken by e... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L738-L761 |
edx/edx-val | edxval/api.py | get_video_info_for_course_and_profiles | def get_video_info_for_course_and_profiles(course_id, profiles):
"""
Returns a dict of edx_video_ids with a dict of requested profiles.
Args:
course_id (str): id of the course
profiles (list): list of profile_names
Returns:
(dict): Returns all the profiles attached to a specific... | python | def get_video_info_for_course_and_profiles(course_id, profiles):
"""
Returns a dict of edx_video_ids with a dict of requested profiles.
Args:
course_id (str): id of the course
profiles (list): list of profile_names
Returns:
(dict): Returns all the profiles attached to a specific... | Returns a dict of edx_video_ids with a dict of requested profiles.
Args:
course_id (str): id of the course
profiles (list): list of profile_names
Returns:
(dict): Returns all the profiles attached to a specific
edx_video_id
{
edx_video_id: {
'... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L764-L844 |
edx/edx-val | edxval/api.py | copy_course_videos | def copy_course_videos(source_course_id, destination_course_id):
"""
Adds the destination_course_id to the videos taken from the source_course_id
Args:
source_course_id: The original course_id
destination_course_id: The new course_id where the videos will be copied
"""
if source_cou... | python | def copy_course_videos(source_course_id, destination_course_id):
"""
Adds the destination_course_id to the videos taken from the source_course_id
Args:
source_course_id: The original course_id
destination_course_id: The new course_id where the videos will be copied
"""
if source_cou... | Adds the destination_course_id to the videos taken from the source_course_id
Args:
source_course_id: The original course_id
destination_course_id: The new course_id where the videos will be copied | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L847-L871 |
edx/edx-val | edxval/api.py | export_to_xml | def export_to_xml(video_id, resource_fs, static_dir, course_id=None):
"""
Exports data for a video into an xml object.
NOTE: For external video ids, only transcripts information will be added into xml.
If external=False, then edx_video_id is going to be on first index of the list.
Arguments:... | python | def export_to_xml(video_id, resource_fs, static_dir, course_id=None):
"""
Exports data for a video into an xml object.
NOTE: For external video ids, only transcripts information will be added into xml.
If external=False, then edx_video_id is going to be on first index of the list.
Arguments:... | Exports data for a video into an xml object.
NOTE: For external video ids, only transcripts information will be added into xml.
If external=False, then edx_video_id is going to be on first index of the list.
Arguments:
video_id (str): Video id of the video to export transcripts.
cour... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L874-L920 |
edx/edx-val | edxval/api.py | create_transcript_file | def create_transcript_file(video_id, language_code, file_format, resource_fs, static_dir):
"""
Writes transcript file to file system.
Arguments:
video_id (str): Video id of the video transcript file is attached.
language_code (str): Language code of the transcript.
file_format (str)... | python | def create_transcript_file(video_id, language_code, file_format, resource_fs, static_dir):
"""
Writes transcript file to file system.
Arguments:
video_id (str): Video id of the video transcript file is attached.
language_code (str): Language code of the transcript.
file_format (str)... | Writes transcript file to file system.
Arguments:
video_id (str): Video id of the video transcript file is attached.
language_code (str): Language code of the transcript.
file_format (str): File format of the transcript file.
static_dir (str): The Directory to store transcript file.... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L923-L947 |
edx/edx-val | edxval/api.py | create_transcripts_xml | def create_transcripts_xml(video_id, video_el, resource_fs, static_dir):
"""
Creates xml for transcripts.
For each transcript element, an associated transcript file is also created in course OLX.
Arguments:
video_id (str): Video id of the video.
video_el (Element): lxml Element object
... | python | def create_transcripts_xml(video_id, video_el, resource_fs, static_dir):
"""
Creates xml for transcripts.
For each transcript element, an associated transcript file is also created in course OLX.
Arguments:
video_id (str): Video id of the video.
video_el (Element): lxml Element object
... | Creates xml for transcripts.
For each transcript element, an associated transcript file is also created in course OLX.
Arguments:
video_id (str): Video id of the video.
video_el (Element): lxml Element object
static_dir (str): The Directory to store transcript file.
resource_fs ... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L950-L998 |
edx/edx-val | edxval/api.py | import_from_xml | def import_from_xml(xml, edx_video_id, resource_fs, static_dir, external_transcripts=dict(), course_id=None):
"""
Imports data from a video_asset element about the given video_id.
If the edx_video_id already exists, then no changes are made. If an unknown
profile is referenced by an encoded video, that... | python | def import_from_xml(xml, edx_video_id, resource_fs, static_dir, external_transcripts=dict(), course_id=None):
"""
Imports data from a video_asset element about the given video_id.
If the edx_video_id already exists, then no changes are made. If an unknown
profile is referenced by an encoded video, that... | Imports data from a video_asset element about the given video_id.
If the edx_video_id already exists, then no changes are made. If an unknown
profile is referenced by an encoded video, that encoding will be ignored.
Arguments:
xml (Element): An lxml video_asset element containing import data
... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L1001-L1103 |
edx/edx-val | edxval/api.py | import_transcript_from_fs | def import_transcript_from_fs(edx_video_id, language_code, file_name, provider, resource_fs, static_dir):
"""
Imports transcript file from file system and creates transcript record in DS.
Arguments:
edx_video_id (str): Video id of the video.
language_code (unicode): Language code of the req... | python | def import_transcript_from_fs(edx_video_id, language_code, file_name, provider, resource_fs, static_dir):
"""
Imports transcript file from file system and creates transcript record in DS.
Arguments:
edx_video_id (str): Video id of the video.
language_code (unicode): Language code of the req... | Imports transcript file from file system and creates transcript record in DS.
Arguments:
edx_video_id (str): Video id of the video.
language_code (unicode): Language code of the requested transcript.
file_name (unicode): File name of the transcript file.
provider (unicode): Transcri... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L1106-L1167 |
edx/edx-val | edxval/api.py | create_transcript_objects | def create_transcript_objects(xml, edx_video_id, resource_fs, static_dir, external_transcripts):
"""
Create VideoTranscript objects.
Arguments:
xml (Element): lxml Element object.
edx_video_id (str): Video id of the video.
resource_fs (OSFS): Import file system.
static_dir (... | python | def create_transcript_objects(xml, edx_video_id, resource_fs, static_dir, external_transcripts):
"""
Create VideoTranscript objects.
Arguments:
xml (Element): lxml Element object.
edx_video_id (str): Video id of the video.
resource_fs (OSFS): Import file system.
static_dir (... | Create VideoTranscript objects.
Arguments:
xml (Element): lxml Element object.
edx_video_id (str): Video id of the video.
resource_fs (OSFS): Import file system.
static_dir (str): The Directory to retrieve transcript file.
external_transcripts (dict): A dict containing the l... | https://github.com/edx/edx-val/blob/30df48061e77641edb5272895b7c7f7f25eb7aa7/edxval/api.py#L1170-L1220 |
bartTC/django-memcache-status | memcache_status/utils.py | get_cache_stats | def get_cache_stats():
"""
Returns a list of dictionaries of all cache servers and their stats,
if they provide stats.
"""
cache_stats = []
for name, _ in six.iteritems(settings.CACHES):
cache_backend = caches[name]
try:
cache_backend_stats = cache_backend._cache.get... | python | def get_cache_stats():
"""
Returns a list of dictionaries of all cache servers and their stats,
if they provide stats.
"""
cache_stats = []
for name, _ in six.iteritems(settings.CACHES):
cache_backend = caches[name]
try:
cache_backend_stats = cache_backend._cache.get... | Returns a list of dictionaries of all cache servers and their stats,
if they provide stats. | https://github.com/bartTC/django-memcache-status/blob/991dd9f964d6e263cf1f5f3f655dcea11577547d/memcache_status/utils.py#L12-L34 |
MycroftAI/mycroft-skills-kit | msk/util.py | register_git_injector | def register_git_injector(username, password):
"""Generate a script that writes the password to the git command line tool"""
fd, tmp_path = mkstemp()
atexit.register(lambda: os.remove(tmp_path))
with os.fdopen(fd, 'w') as f:
f.write(ASKPASS.format(username=username, password=password or ''))
... | python | def register_git_injector(username, password):
"""Generate a script that writes the password to the git command line tool"""
fd, tmp_path = mkstemp()
atexit.register(lambda: os.remove(tmp_path))
with os.fdopen(fd, 'w') as f:
f.write(ASKPASS.format(username=username, password=password or ''))
... | Generate a script that writes the password to the git command line tool | https://github.com/MycroftAI/mycroft-skills-kit/blob/4a8f5303fdd6d30082d3ba8f8c56457cdc1cecb7/msk/util.py#L53-L62 |
MycroftAI/mycroft-skills-kit | msk/util.py | to_snake | def to_snake(camel):
"""TimeSkill -> time_skill"""
if not camel:
return camel
return ''.join('_' + x if 'A' <= x <= 'Z' else x for x in camel).lower()[camel[0].isupper():] | python | def to_snake(camel):
"""TimeSkill -> time_skill"""
if not camel:
return camel
return ''.join('_' + x if 'A' <= x <= 'Z' else x for x in camel).lower()[camel[0].isupper():] | TimeSkill -> time_skill | https://github.com/MycroftAI/mycroft-skills-kit/blob/4a8f5303fdd6d30082d3ba8f8c56457cdc1cecb7/msk/util.py#L172-L176 |
MycroftAI/mycroft-skills-kit | msk/util.py | serialized | def serialized(func):
"""Write a serializer by yielding each line of output"""
@wraps(func)
def wrapper(*args, **kwargs):
return '\n'.join(
' '.join(parts) if isinstance(parts, tuple) else parts
for parts in func(*args, **kwargs)
)
return wrapper | python | def serialized(func):
"""Write a serializer by yielding each line of output"""
@wraps(func)
def wrapper(*args, **kwargs):
return '\n'.join(
' '.join(parts) if isinstance(parts, tuple) else parts
for parts in func(*args, **kwargs)
)
return wrapper | Write a serializer by yielding each line of output | https://github.com/MycroftAI/mycroft-skills-kit/blob/4a8f5303fdd6d30082d3ba8f8c56457cdc1cecb7/msk/util.py#L197-L207 |
MycroftAI/mycroft-skills-kit | msk/actions/upgrade.py | UpgradeAction.create_pr_message | def create_pr_message(self, skill_git: Git, skill_repo: Repository) -> tuple:
"""Reads git commits from skill repo to create a list of changes as the PR content"""
title = 'Upgrade ' + self.skill.name
body = body_template.format(
skill_name=self.skill.name,
commits='\n'.j... | python | def create_pr_message(self, skill_git: Git, skill_repo: Repository) -> tuple:
"""Reads git commits from skill repo to create a list of changes as the PR content"""
title = 'Upgrade ' + self.skill.name
body = body_template.format(
skill_name=self.skill.name,
commits='\n'.j... | Reads git commits from skill repo to create a list of changes as the PR content | https://github.com/MycroftAI/mycroft-skills-kit/blob/4a8f5303fdd6d30082d3ba8f8c56457cdc1cecb7/msk/actions/upgrade.py#L59-L74 |
click-contrib/click-didyoumean | examples/naval.py | ship_move | def ship_move(ship, x, y, speed):
"""Moves SHIP to the new location X,Y."""
click.echo('Moving ship %s to %s,%s with speed %s' % (ship, x, y, speed)) | python | def ship_move(ship, x, y, speed):
"""Moves SHIP to the new location X,Y."""
click.echo('Moving ship %s to %s,%s with speed %s' % (ship, x, y, speed)) | Moves SHIP to the new location X,Y. | https://github.com/click-contrib/click-didyoumean/blob/7485cc7212a8f28e4f160dd02ebf044d1badda67/examples/naval.py#L33-L35 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | _check_status | def _check_status(sdp_state):
"""SDP Status check.
Do all the tests to determine, if the SDP state is
"broken", what could be the cause, and return a
suitable status message to be sent back by the calling
function.
"""
try:
errval = "error"
errdict = dict(state="unknown", re... | python | def _check_status(sdp_state):
"""SDP Status check.
Do all the tests to determine, if the SDP state is
"broken", what could be the cause, and return a
suitable status message to be sent back by the calling
function.
"""
try:
errval = "error"
errdict = dict(state="unknown", re... | SDP Status check.
Do all the tests to determine, if the SDP state is
"broken", what could be the cause, and return a
suitable status message to be sent back by the calling
function. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L27-L90 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | root | def root():
"""Home page."""
return {
"message": "Welcome to the SIP Master Controller (flask variant)",
"_links": {
"items": [
{
"Link": "Health",
"href": "{}health".format(request.url)
},
{
... | python | def root():
"""Home page."""
return {
"message": "Welcome to the SIP Master Controller (flask variant)",
"_links": {
"items": [
{
"Link": "Health",
"href": "{}health".format(request.url)
},
{
... | Home page. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L94-L146 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | health | def health():
"""Check the health of this service."""
up_time = time.time() - START_TIME
response = dict(service=__service_id__,
uptime='{:.2f}s'.format(up_time))
return response, HTTPStatus.OK | python | def health():
"""Check the health of this service."""
up_time = time.time() - START_TIME
response = dict(service=__service_id__,
uptime='{:.2f}s'.format(up_time))
return response, HTTPStatus.OK | Check the health of this service. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L150-L155 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | allowed_transitions | def allowed_transitions():
"""Get target states allowed for the current state."""
try:
sdp_state = SDPState()
return sdp_state.allowed_target_states[sdp_state.current_state]
except KeyError:
LOG.error("Key Error")
return dict(state="KeyError", reason="KeyError") | python | def allowed_transitions():
"""Get target states allowed for the current state."""
try:
sdp_state = SDPState()
return sdp_state.allowed_target_states[sdp_state.current_state]
except KeyError:
LOG.error("Key Error")
return dict(state="KeyError", reason="KeyError") | Get target states allowed for the current state. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L167-L174 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | get_state | def get_state():
"""SDP State.
Return current state; target state and allowed
target states.
"""
sdp_state = SDPState()
errval, errdict = _check_status(sdp_state)
if errval == "error":
LOG.debug(errdict['reason'])
return dict(
current_state="unknown",
... | python | def get_state():
"""SDP State.
Return current state; target state and allowed
target states.
"""
sdp_state = SDPState()
errval, errdict = _check_status(sdp_state)
if errval == "error":
LOG.debug(errdict['reason'])
return dict(
current_state="unknown",
... | SDP State.
Return current state; target state and allowed
target states. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L178-L204 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | get_target_state | def get_target_state():
"""SDP target State.
Returns the target state; allowed target states and time updated
"""
sdp_state = SDPState()
errval, errdict = _check_status(sdp_state)
if errval == "error":
LOG.debug(errdict['reason'])
return dict(
current_target_state="u... | python | def get_target_state():
"""SDP target State.
Returns the target state; allowed target states and time updated
"""
sdp_state = SDPState()
errval, errdict = _check_status(sdp_state)
if errval == "error":
LOG.debug(errdict['reason'])
return dict(
current_target_state="u... | SDP target State.
Returns the target state; allowed target states and time updated | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L209-L230 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | get_current_state | def get_current_state():
"""Return the SDP State and the timestamp for when it was updated."""
sdp_state = SDPState()
errval, errdict = _check_status(sdp_state)
if errval == "error":
LOG.debug(errdict['reason'])
return dict(
current_state="unknown",
last_updated="... | python | def get_current_state():
"""Return the SDP State and the timestamp for when it was updated."""
sdp_state = SDPState()
errval, errdict = _check_status(sdp_state)
if errval == "error":
LOG.debug(errdict['reason'])
return dict(
current_state="unknown",
last_updated="... | Return the SDP State and the timestamp for when it was updated. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L234-L251 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | put_target_state | def put_target_state():
"""SDP target State.
Sets the target state
"""
sdp_state = SDPState()
errval, errdict = _check_status(sdp_state)
if errval == "error":
LOG.debug(errdict['reason'])
rdict = dict(
current_state="unknown",
last_updated="unknown",
... | python | def put_target_state():
"""SDP target State.
Sets the target state
"""
sdp_state = SDPState()
errval, errdict = _check_status(sdp_state)
if errval == "error":
LOG.debug(errdict['reason'])
rdict = dict(
current_state="unknown",
last_updated="unknown",
... | SDP target State.
Sets the target state | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L256-L287 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | processing_block_list | def processing_block_list():
"""Return the list of processing blocks known to SDP."""
pb_list = ProcessingBlockList()
return dict(active=pb_list.active,
completed=pb_list.completed,
aborted=pb_list.aborted) | python | def processing_block_list():
"""Return the list of processing blocks known to SDP."""
pb_list = ProcessingBlockList()
return dict(active=pb_list.active,
completed=pb_list.completed,
aborted=pb_list.aborted) | Return the list of processing blocks known to SDP. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L291-L296 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | scheduling_blocks | def scheduling_blocks():
"""Return list of Scheduling Block instances known to SDP."""
sbi_list = SchedulingBlockInstanceList()
return dict(active=sbi_list.active,
completed=sbi_list.completed,
aborted=sbi_list.aborted) | python | def scheduling_blocks():
"""Return list of Scheduling Block instances known to SDP."""
sbi_list = SchedulingBlockInstanceList()
return dict(active=sbi_list.active,
completed=sbi_list.completed,
aborted=sbi_list.aborted) | Return list of Scheduling Block instances known to SDP. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L300-L305 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/flask_master/app/app.py | configure_sbi | def configure_sbi():
"""Configure an SBI using POSTed configuration."""
# Need an ID for the subarray - guessing I just get
# the list of inactive subarrays and use the first
inactive_list = SubarrayList().inactive
request_data = request.data
LOG.debug('request is of type %s', type(request_data)... | python | def configure_sbi():
"""Configure an SBI using POSTed configuration."""
# Need an ID for the subarray - guessing I just get
# the list of inactive subarrays and use the first
inactive_list = SubarrayList().inactive
request_data = request.data
LOG.debug('request is of type %s', type(request_data)... | Configure an SBI using POSTed configuration. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/flask_master/app/app.py#L322-L338 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/app.py | home | def home():
"""Temporary helper function to link to the API routes"""
return dict(links=dict(api='{}{}'.format(request.url, PREFIX[1:]))), \
HTTPStatus.OK | python | def home():
"""Temporary helper function to link to the API routes"""
return dict(links=dict(api='{}{}'.format(request.url, PREFIX[1:]))), \
HTTPStatus.OK | Temporary helper function to link to the API routes | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/app.py#L45-L48 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/app.py | catch_all | def catch_all(path):
"""Catch all path - return a JSON 404 """
return (dict(error='Invalid URL: /{}'.format(path),
links=dict(root='{}{}'.format(request.url_root, PREFIX[1:]))),
HTTPStatus.NOT_FOUND) | python | def catch_all(path):
"""Catch all path - return a JSON 404 """
return (dict(error='Invalid URL: /{}'.format(path),
links=dict(root='{}{}'.format(request.url_root, PREFIX[1:]))),
HTTPStatus.NOT_FOUND) | Catch all path - return a JSON 404 | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/app.py#L52-L56 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray_list.py | SubarrayList.get_active | def get_active() -> List[str]:
"""Return the list of active subarrays."""
active = []
for i in range(__num_subarrays__):
key = Subarray.get_key(i)
if DB.get_hash_value(key, 'active').upper() == 'TRUE':
active.append(Subarray.get_id(i))
return activ... | python | def get_active() -> List[str]:
"""Return the list of active subarrays."""
active = []
for i in range(__num_subarrays__):
key = Subarray.get_key(i)
if DB.get_hash_value(key, 'active').upper() == 'TRUE':
active.append(Subarray.get_id(i))
return activ... | Return the list of active subarrays. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/subarray_list.py#L46-L53 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/scheduling/subarray_list.py | SubarrayList.get_inactive | def get_inactive() -> List[str]:
"""Return the list of inactive subarrays."""
inactive = []
for i in range(__num_subarrays__):
key = Subarray.get_key(i)
if DB.get_hash_value(key, 'active').upper() == 'FALSE':
inactive.append(Subarray.get_id(i))
ret... | python | def get_inactive() -> List[str]:
"""Return the list of inactive subarrays."""
inactive = []
for i in range(__num_subarrays__):
key = Subarray.get_key(i)
if DB.get_hash_value(key, 'active').upper() == 'FALSE':
inactive.append(Subarray.get_id(i))
ret... | Return the list of inactive subarrays. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/scheduling/subarray_list.py#L56-L63 |
SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/example_imager_spark/example_spark_imager.py | node_run | def node_run(input_file, coords_only, bc_settings, bc_grid_weights):
"""Main function to process visibility data on Spark cluster nodes.
Args:
input_file (str):
RDD element containing filename to process.
coords_only (boolean):
If true, read only baseline coordinates to ... | python | def node_run(input_file, coords_only, bc_settings, bc_grid_weights):
"""Main function to process visibility data on Spark cluster nodes.
Args:
input_file (str):
RDD element containing filename to process.
coords_only (boolean):
If true, read only baseline coordinates to ... | Main function to process visibility data on Spark cluster nodes.
Args:
input_file (str):
RDD element containing filename to process.
coords_only (boolean):
If true, read only baseline coordinates to define the weights grid.
bc_settings (pyspark.broadcast.Broadcast):
... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/example_imager_spark/example_spark_imager.py#L43-L126 |
SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/example_imager_spark/example_spark_imager.py | save_image | def save_image(imager, grid_data, grid_norm, output_file):
"""Makes an image from gridded visibilities and saves it to a FITS file.
Args:
imager (oskar.Imager): Handle to configured imager.
grid_data (numpy.ndarray): Final visibility grid.
grid_norm (float): G... | python | def save_image(imager, grid_data, grid_norm, output_file):
"""Makes an image from gridded visibilities and saves it to a FITS file.
Args:
imager (oskar.Imager): Handle to configured imager.
grid_data (numpy.ndarray): Final visibility grid.
grid_norm (float): G... | Makes an image from gridded visibilities and saves it to a FITS file.
Args:
imager (oskar.Imager): Handle to configured imager.
grid_data (numpy.ndarray): Final visibility grid.
grid_norm (float): Grid normalisation to apply.
output_file (str): ... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/example_imager_spark/example_spark_imager.py#L190-L211 |
SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/example_imager_spark/example_spark_imager.py | reduce_sequences | def reduce_sequences(object_a, object_b):
"""Performs an element-wise addition of sequences into a new list.
Both sequences must have the same length, and the addition operator must be
defined for each element of the sequence.
"""
def is_seq(obj):
"""Returns true if the object passed is a s... | python | def reduce_sequences(object_a, object_b):
"""Performs an element-wise addition of sequences into a new list.
Both sequences must have the same length, and the addition operator must be
defined for each element of the sequence.
"""
def is_seq(obj):
"""Returns true if the object passed is a s... | Performs an element-wise addition of sequences into a new list.
Both sequences must have the same length, and the addition operator must be
defined for each element of the sequence. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/example_imager_spark/example_spark_imager.py#L214-L234 |
SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/example_imager_spark/example_spark_imager.py | main | def main():
"""Runs test imaging pipeline using Spark."""
# Check command line arguments.
if len(sys.argv) < 3:
raise RuntimeError(
'Usage: spark-submit spark_imager_test.py <settings_file> <dir> '
'[partitions]')
# Create log object.
log = logging.getLogger('pyspark... | python | def main():
"""Runs test imaging pipeline using Spark."""
# Check command line arguments.
if len(sys.argv) < 3:
raise RuntimeError(
'Usage: spark-submit spark_imager_test.py <settings_file> <dir> '
'[partitions]')
# Create log object.
log = logging.getLogger('pyspark... | Runs test imaging pipeline using Spark. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/example_imager_spark/example_spark_imager.py#L237-L314 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | load_schema | def load_schema(path):
"""Loads a JSON schema file."""
with open(path) as json_data:
schema = json.load(json_data)
return schema | python | def load_schema(path):
"""Loads a JSON schema file."""
with open(path) as json_data:
schema = json.load(json_data)
return schema | Loads a JSON schema file. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L25-L29 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | clear_db | def clear_db():
"""Clear the entire db."""
cursor = '0'
while cursor != 0:
cursor, keys = DB.scan(cursor, match='*', count=5000)
if keys:
DB.delete(*keys) | python | def clear_db():
"""Clear the entire db."""
cursor = '0'
while cursor != 0:
cursor, keys = DB.scan(cursor, match='*', count=5000)
if keys:
DB.delete(*keys) | Clear the entire db. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L32-L38 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | get_scheduling_block_ids | def get_scheduling_block_ids():
"""Return list of scheduling block IDs"""
ids = [key.split('/')[-1]
for key in DB.keys(pattern='scheduling_block/*')]
return sorted(ids) | python | def get_scheduling_block_ids():
"""Return list of scheduling block IDs"""
ids = [key.split('/')[-1]
for key in DB.keys(pattern='scheduling_block/*')]
return sorted(ids) | Return list of scheduling block IDs | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L46-L50 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | add_scheduling_block | def add_scheduling_block(config, schema_path=None):
"""Add a Scheduling Block to the Configuration Database.
The configuration dictionary must match the schema defined in
in the schema_path variable at the top of the function.
Args:
config (dict): Scheduling Block instance request configuratio... | python | def add_scheduling_block(config, schema_path=None):
"""Add a Scheduling Block to the Configuration Database.
The configuration dictionary must match the schema defined in
in the schema_path variable at the top of the function.
Args:
config (dict): Scheduling Block instance request configuratio... | Add a Scheduling Block to the Configuration Database.
The configuration dictionary must match the schema defined in
in the schema_path variable at the top of the function.
Args:
config (dict): Scheduling Block instance request configuration.
schema_path (str): Path to schema file used to v... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L58-L84 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | delete_scheduling_block | def delete_scheduling_block(block_id):
"""Delete Scheduling Block with the specified ID"""
DB.delete('scheduling_block/{}'.format(block_id))
# Add a event to the scheduling block event list to notify
# of a deleting a scheduling block from the db
DB.rpush('scheduling_block_events',
jso... | python | def delete_scheduling_block(block_id):
"""Delete Scheduling Block with the specified ID"""
DB.delete('scheduling_block/{}'.format(block_id))
# Add a event to the scheduling block event list to notify
# of a deleting a scheduling block from the db
DB.rpush('scheduling_block_events',
jso... | Delete Scheduling Block with the specified ID | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L87-L94 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | get_scheduling_block_event | def get_scheduling_block_event():
"""Return the latest Scheduling Block event"""
event = DB.rpoplpush('scheduling_block_events',
'scheduling_block_event_history')
if event:
event = json.loads(event.decode('utf-8'))
return event | python | def get_scheduling_block_event():
"""Return the latest Scheduling Block event"""
event = DB.rpoplpush('scheduling_block_events',
'scheduling_block_event_history')
if event:
event = json.loads(event.decode('utf-8'))
return event | Return the latest Scheduling Block event | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L102-L108 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | get_sub_array_ids | def get_sub_array_ids():
"""Return list of sub-array Id's currently known to SDP"""
ids = set()
for key in sorted(DB.keys(pattern='scheduling_block/*')):
config = json.loads(DB.get(key))
ids.add(config['sub_array_id'])
return sorted(list(ids)) | python | def get_sub_array_ids():
"""Return list of sub-array Id's currently known to SDP"""
ids = set()
for key in sorted(DB.keys(pattern='scheduling_block/*')):
config = json.loads(DB.get(key))
ids.add(config['sub_array_id'])
return sorted(list(ids)) | Return list of sub-array Id's currently known to SDP | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L115-L121 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | get_subarray_sbi_ids | def get_subarray_sbi_ids(sub_array_id):
"""Return list of scheduling block Id's associated with the given
sub_array_id
"""
ids = []
for key in sorted(DB.keys(pattern='scheduling_block/*')):
config = json.loads(DB.get(key))
if config['sub_array_id'] == sub_array_id:
ids.ap... | python | def get_subarray_sbi_ids(sub_array_id):
"""Return list of scheduling block Id's associated with the given
sub_array_id
"""
ids = []
for key in sorted(DB.keys(pattern='scheduling_block/*')):
config = json.loads(DB.get(key))
if config['sub_array_id'] == sub_array_id:
ids.ap... | Return list of scheduling block Id's associated with the given
sub_array_id | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L124-L133 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | get_processing_block_ids | def get_processing_block_ids():
"""Return an array of Processing Block ids"""
ids = []
for key in sorted(DB.keys(pattern='scheduling_block/*')):
config = json.loads(DB.get(key))
for processing_block in config['processing_blocks']:
ids.append(processing_block['id'])
return ids | python | def get_processing_block_ids():
"""Return an array of Processing Block ids"""
ids = []
for key in sorted(DB.keys(pattern='scheduling_block/*')):
config = json.loads(DB.get(key))
for processing_block in config['processing_blocks']:
ids.append(processing_block['id'])
return ids | Return an array of Processing Block ids | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L141-L148 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | get_processing_block | def get_processing_block(block_id):
"""Return the Processing Block Configuration for the specified ID"""
identifiers = block_id.split(':')
scheduling_block_id = identifiers[0]
scheduling_block_config = get_scheduling_block(scheduling_block_id)
for processing_block in scheduling_block_config['process... | python | def get_processing_block(block_id):
"""Return the Processing Block Configuration for the specified ID"""
identifiers = block_id.split(':')
scheduling_block_id = identifiers[0]
scheduling_block_config = get_scheduling_block(scheduling_block_id)
for processing_block in scheduling_block_config['process... | Return the Processing Block Configuration for the specified ID | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L151-L160 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | delete_processing_block | def delete_processing_block(processing_block_id):
"""Delete Processing Block with the specified ID"""
scheduling_block_id = processing_block_id.split(':')[0]
config = get_scheduling_block(scheduling_block_id)
processing_blocks = config.get('processing_blocks')
processing_block = list(filter(
... | python | def delete_processing_block(processing_block_id):
"""Delete Processing Block with the specified ID"""
scheduling_block_id = processing_block_id.split(':')[0]
config = get_scheduling_block(scheduling_block_id)
processing_blocks = config.get('processing_blocks')
processing_block = list(filter(
... | Delete Processing Block with the specified ID | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L163-L176 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/mock/client.py | get_processing_block_event | def get_processing_block_event():
"""Return the latest Processing Block event"""
event = DB.rpoplpush('processing_block_events',
'processing_block_event_history')
if event:
event = json.loads(event.decode('utf-8'))
return event | python | def get_processing_block_event():
"""Return the latest Processing Block event"""
event = DB.rpoplpush('processing_block_events',
'processing_block_event_history')
if event:
event = json.loads(event.decode('utf-8'))
return event | Return the latest Processing Block event | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/mock/client.py#L179-L185 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py | subscribe | def subscribe(object_type: str, subscriber: str,
callback_handler: Callable = None) -> EventQueue:
"""Subscribe to the specified object type.
Returns an EventQueue object which can be used to query events
associated with the object type for this subscriber.
Args:
object_type (str... | python | def subscribe(object_type: str, subscriber: str,
callback_handler: Callable = None) -> EventQueue:
"""Subscribe to the specified object type.
Returns an EventQueue object which can be used to query events
associated with the object type for this subscriber.
Args:
object_type (str... | Subscribe to the specified object type.
Returns an EventQueue object which can be used to query events
associated with the object type for this subscriber.
Args:
object_type (str): Object type
subscriber (str): Subscriber name
callback_handler (function, optional): Callback handler... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py#L16-L35 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py | get_subscribers | def get_subscribers(object_type: str) -> List[str]:
"""Get the list of subscribers to events of the object type.
Args:
object_type (str): Type of object.
Returns:
List[str], list of subscriber names.
"""
return DB.get_list(_keys.subscribers(object_type)) | python | def get_subscribers(object_type: str) -> List[str]:
"""Get the list of subscribers to events of the object type.
Args:
object_type (str): Type of object.
Returns:
List[str], list of subscriber names.
"""
return DB.get_list(_keys.subscribers(object_type)) | Get the list of subscribers to events of the object type.
Args:
object_type (str): Type of object.
Returns:
List[str], list of subscriber names. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py#L38-L48 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py | publish | def publish(event_type: str,
event_data: dict = None,
object_type: str = None,
object_id: str = None,
object_key: str = None,
origin: str = None):
"""Publish an event.
Published the event to all subscribers and stores the event with the
object.
... | python | def publish(event_type: str,
event_data: dict = None,
object_type: str = None,
object_id: str = None,
object_key: str = None,
origin: str = None):
"""Publish an event.
Published the event to all subscribers and stores the event with the
object.
... | Publish an event.
Published the event to all subscribers and stores the event with the
object.
Args:
event_type (str): The event type
event_data (dict, optional): Optional event data
object_type (str): Type of object.
object_id (str): Object ID
object_key (str, opti... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py#L51-L89 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py | _get_events_list | def _get_events_list(object_key: str) -> List[str]:
"""Get list of event ids for the object with the specified key.
Args:
object_key (str): Key of an object in the database.
"""
return DB.get_list(_keys.events_list(object_key)) | python | def _get_events_list(object_key: str) -> List[str]:
"""Get list of event ids for the object with the specified key.
Args:
object_key (str): Key of an object in the database.
"""
return DB.get_list(_keys.events_list(object_key)) | Get list of event ids for the object with the specified key.
Args:
object_key (str): Key of an object in the database. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py#L92-L99 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py | _get_events_data | def _get_events_data(object_key: str) -> List[dict]:
"""Get the list of event data for the object with the specified key.
Args:
object_key (str): Key of an object in the database.
"""
events_data = []
key = _keys.events_data(object_key)
for event_id in _get_events_list(object_key):
... | python | def _get_events_data(object_key: str) -> List[dict]:
"""Get the list of event data for the object with the specified key.
Args:
object_key (str): Key of an object in the database.
"""
events_data = []
key = _keys.events_data(object_key)
for event_id in _get_events_list(object_key):
... | Get the list of event data for the object with the specified key.
Args:
object_key (str): Key of an object in the database. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py#L102-L114 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py | get_events | def get_events(object_key: str) -> List[Event]:
"""Get list of events for the object with the specified key."""
events_data = _get_events_data(object_key)
return [Event.from_config(event_dict) for event_dict in events_data] | python | def get_events(object_key: str) -> List[Event]:
"""Get list of events for the object with the specified key."""
events_data = _get_events_data(object_key)
return [Event.from_config(event_dict) for event_dict in events_data] | Get list of events for the object with the specified key. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py#L117-L120 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py | _publish_to_subscribers | def _publish_to_subscribers(event: Event):
"""Publish and event to all subscribers.
- Adds the event id to the published event list for all subscribers.
- Adds the event data to the published event data for all subscribers.
- Publishes the event id notification to all subscribers.
Args:
ev... | python | def _publish_to_subscribers(event: Event):
"""Publish and event to all subscribers.
- Adds the event id to the published event list for all subscribers.
- Adds the event data to the published event data for all subscribers.
- Publishes the event id notification to all subscribers.
Args:
ev... | Publish and event to all subscribers.
- Adds the event id to the published event list for all subscribers.
- Adds the event data to the published event data for all subscribers.
- Publishes the event id notification to all subscribers.
Args:
event (Event): Event object to publish. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py#L123-L144 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py | _update_object | def _update_object(object_key: str, event: Event):
"""Update the events list and events data for the object.
- Adds the event Id to the list of events for the object.
- Adds the event data to the hash of object event data keyed by event
id.
Args:
object_key (str): Key of the object being... | python | def _update_object(object_key: str, event: Event):
"""Update the events list and events data for the object.
- Adds the event Id to the list of events for the object.
- Adds the event data to the hash of object event data keyed by event
id.
Args:
object_key (str): Key of the object being... | Update the events list and events data for the object.
- Adds the event Id to the list of events for the object.
- Adds the event data to the hash of object event data keyed by event
id.
Args:
object_key (str): Key of the object being updated.
event (Event): Event object | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py#L147-L166 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py | _get_event_id | def _get_event_id(object_type: str) -> str:
"""Return an event key for the event on the object type.
This must be a unique event id for the object.
Args:
object_type (str): Type of object
Returns:
str, event id
"""
key = _keys.event_counter(object_type)
DB.watch(key, pipe... | python | def _get_event_id(object_type: str) -> str:
"""Return an event key for the event on the object type.
This must be a unique event id for the object.
Args:
object_type (str): Type of object
Returns:
str, event id
"""
key = _keys.event_counter(object_type)
DB.watch(key, pipe... | Return an event key for the event on the object type.
This must be a unique event id for the object.
Args:
object_type (str): Type of object
Returns:
str, event id | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/_events/pubsub.py#L169-L188 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_processing_block/app/processing_block_device.py | ProcessingBlockDevice.init_device | def init_device(self):
"""Device constructor."""
start_time = time.time()
Device.init_device(self)
self._pb_id = ''
LOG.debug('init PB device %s, time taken %.6f s (total: %.2f s)',
self.get_name(), (time.time() - start_time),
(time.time() - se... | python | def init_device(self):
"""Device constructor."""
start_time = time.time()
Device.init_device(self)
self._pb_id = ''
LOG.debug('init PB device %s, time taken %.6f s (total: %.2f s)',
self.get_name(), (time.time() - start_time),
(time.time() - se... | Device constructor. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_processing_block/app/processing_block_device.py#L19-L27 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_processing_block/app/processing_block_device.py | ProcessingBlockDevice.pb_id | def pb_id(self, pb_id: str):
"""Set the PB Id for this device."""
# FIXME(BMo) instead of creating the object to check if the PB exists
# use a method on PB List?
# ProcessingBlock(pb_id)
self.set_state(DevState.ON)
self._pb_id = pb_id | python | def pb_id(self, pb_id: str):
"""Set the PB Id for this device."""
# FIXME(BMo) instead of creating the object to check if the PB exists
# use a method on PB List?
# ProcessingBlock(pb_id)
self.set_state(DevState.ON)
self._pb_id = pb_id | Set the PB Id for this device. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_processing_block/app/processing_block_device.py#L48-L54 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_processing_block/app/processing_block_device.py | ProcessingBlockDevice.pb_config | def pb_config(self):
"""Return the PB configuration."""
pb = ProcessingBlock(self._pb_id)
return json.dumps(pb.config) | python | def pb_config(self):
"""Return the PB configuration."""
pb = ProcessingBlock(self._pb_id)
return json.dumps(pb.config) | Return the PB configuration. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_processing_block/app/processing_block_device.py#L57-L60 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/_state_object.py | StateObject.current_timestamp | def current_timestamp(self) -> datetime:
"""Get the current state timestamp."""
timestamp = DB.get_hash_value(self._key, 'current_timestamp')
return datetime_from_isoformat(timestamp) | python | def current_timestamp(self) -> datetime:
"""Get the current state timestamp."""
timestamp = DB.get_hash_value(self._key, 'current_timestamp')
return datetime_from_isoformat(timestamp) | Get the current state timestamp. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/_state_object.py#L93-L96 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/_state_object.py | StateObject.target_timestamp | def target_timestamp(self) -> datetime:
"""Get the target state timestamp."""
timestamp = DB.get_hash_value(self._key, 'target_timestamp')
return datetime_from_isoformat(timestamp) | python | def target_timestamp(self) -> datetime:
"""Get the target state timestamp."""
timestamp = DB.get_hash_value(self._key, 'target_timestamp')
return datetime_from_isoformat(timestamp) | Get the target state timestamp. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/_state_object.py#L99-L102 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/_state_object.py | StateObject.update_target_state | def update_target_state(self, value: str, force: bool = True) -> datetime:
"""Set the target state.
Args:
value (str): New value for target state
force (bool): If true, ignore allowed transitions
Returns:
datetime, update timestamp
Raises:
... | python | def update_target_state(self, value: str, force: bool = True) -> datetime:
"""Set the target state.
Args:
value (str): New value for target state
force (bool): If true, ignore allowed transitions
Returns:
datetime, update timestamp
Raises:
... | Set the target state.
Args:
value (str): New value for target state
force (bool): If true, ignore allowed transitions
Returns:
datetime, update timestamp
Raises:
RuntimeError, if it is not possible to currently set the target
state.
... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/_state_object.py#L104-L137 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/_state_object.py | StateObject.update_current_state | def update_current_state(self, value: str,
force: bool = False) -> datetime:
"""Update the current state.
Args:
value (str): New value for sdp state
force (bool): If true, ignore allowed transitions
Returns:
datetime, update time... | python | def update_current_state(self, value: str,
force: bool = False) -> datetime:
"""Update the current state.
Args:
value (str): New value for sdp state
force (bool): If true, ignore allowed transitions
Returns:
datetime, update time... | Update the current state.
Args:
value (str): New value for sdp state
force (bool): If true, ignore allowed transitions
Returns:
datetime, update timestamp
Raises:
ValueError: If the specified current state is not allowed. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/_state_object.py#L139-L173 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/_state_object.py | StateObject._initialise | def _initialise(self, initial_state: str = 'unknown') -> dict:
"""Return a dictionary used to initialise a state object.
This method is used to obtain a dictionary/hash describing the initial
state of SDP or a service in SDP.
Args:
initial_state (str): Initial state.
... | python | def _initialise(self, initial_state: str = 'unknown') -> dict:
"""Return a dictionary used to initialise a state object.
This method is used to obtain a dictionary/hash describing the initial
state of SDP or a service in SDP.
Args:
initial_state (str): Initial state.
... | Return a dictionary used to initialise a state object.
This method is used to obtain a dictionary/hash describing the initial
state of SDP or a service in SDP.
Args:
initial_state (str): Initial state.
Returns:
dict, Initial state configuration | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/_state_object.py#L228-L250 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/_state_object.py | StateObject._update_state | def _update_state(self, state_type: str, value: str) -> datetime:
"""Update the state of type specified (current or target).
Args:
state_type(str): Type of state to update, current or target.
value (str): New state value.
Returns:
timestamp, current time
... | python | def _update_state(self, state_type: str, value: str) -> datetime:
"""Update the state of type specified (current or target).
Args:
state_type(str): Type of state to update, current or target.
value (str): New state value.
Returns:
timestamp, current time
... | Update the state of type specified (current or target).
Args:
state_type(str): Type of state to update, current or target.
value (str): New state value.
Returns:
timestamp, current time | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/_state_object.py#L252-L275 |
SKA-ScienceDataProcessor/integration-prototype | sip/execution_control/configuration_db/sip_config_db/states/_state_object.py | StateObject._dict_lower | def _dict_lower(dictionary: dict):
"""Convert allowed state transitions / target states to lowercase."""
return {key.lower(): [value.lower() for value in value]
for key, value in dictionary.items()} | python | def _dict_lower(dictionary: dict):
"""Convert allowed state transitions / target states to lowercase."""
return {key.lower(): [value.lower() for value in value]
for key, value in dictionary.items()} | Convert allowed state transitions / target states to lowercase. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/execution_control/configuration_db/sip_config_db/states/_state_object.py#L278-L281 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb.add_sched_block_instance | def add_sched_block_instance(self, config_dict):
"""Add Scheduling Block to the database.
Args:
config_dict (dict): SBI configuration
"""
# Get schema for validation
schema = self._get_schema()
LOG.debug('Adding SBI with config: %s', config_dict)
# ... | python | def add_sched_block_instance(self, config_dict):
"""Add Scheduling Block to the database.
Args:
config_dict (dict): SBI configuration
"""
# Get schema for validation
schema = self._get_schema()
LOG.debug('Adding SBI with config: %s', config_dict)
# ... | Add Scheduling Block to the database.
Args:
config_dict (dict): SBI configuration | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L31-L73 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb.get_sched_block_instance_ids | def get_sched_block_instance_ids(self):
"""Get unordered list of scheduling block ids"""
# Initialise empty list
scheduling_block_ids = []
# Pattern used to search scheduling block ids
pattern = 'scheduling_block:*'
block_ids = self._db.get_ids(pattern)
for blo... | python | def get_sched_block_instance_ids(self):
"""Get unordered list of scheduling block ids"""
# Initialise empty list
scheduling_block_ids = []
# Pattern used to search scheduling block ids
pattern = 'scheduling_block:*'
block_ids = self._db.get_ids(pattern)
for blo... | Get unordered list of scheduling block ids | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L79-L93 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb.get_processing_block_ids | def get_processing_block_ids(self):
"""Get list of processing block ids using the processing block id"""
# Initialise empty list
_processing_block_ids = []
# Pattern used to search processing block ids
pattern = '*:processing_block:*'
block_ids = self._db.get_ids(patter... | python | def get_processing_block_ids(self):
"""Get list of processing block ids using the processing block id"""
# Initialise empty list
_processing_block_ids = []
# Pattern used to search processing block ids
pattern = '*:processing_block:*'
block_ids = self._db.get_ids(patter... | Get list of processing block ids using the processing block id | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L95-L108 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb.get_sub_array_ids | def get_sub_array_ids(self):
"""Get list of sub array ids"""
# Initialise empty list
_scheduling_block_ids = []
_sub_array_ids = []
for blocks_id in self.get_sched_block_instance_ids():
_scheduling_block_ids.append(blocks_id)
block_details = self.get_block_d... | python | def get_sub_array_ids(self):
"""Get list of sub array ids"""
# Initialise empty list
_scheduling_block_ids = []
_sub_array_ids = []
for blocks_id in self.get_sched_block_instance_ids():
_scheduling_block_ids.append(blocks_id)
block_details = self.get_block_d... | Get list of sub array ids | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L114-L127 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb.get_sub_array_sbi_ids | def get_sub_array_sbi_ids(self, sub_array_id):
"""Get Scheduling Block Instance ID associated with sub array id"""
_ids = []
sbi_ids = self.get_sched_block_instance_ids()
for details in self.get_block_details(sbi_ids):
if details['sub_array_id'] == sub_array_id:
... | python | def get_sub_array_sbi_ids(self, sub_array_id):
"""Get Scheduling Block Instance ID associated with sub array id"""
_ids = []
sbi_ids = self.get_sched_block_instance_ids()
for details in self.get_block_details(sbi_ids):
if details['sub_array_id'] == sub_array_id:
... | Get Scheduling Block Instance ID associated with sub array id | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L129-L136 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb.get_block_details | def get_block_details(self, block_ids):
"""Get details of scheduling or processing block
Args:
block_ids (list): List of block IDs
"""
# Convert input to list if needed
if not hasattr(block_ids, "__iter__"):
block_ids = [block_ids]
for _id in blo... | python | def get_block_details(self, block_ids):
"""Get details of scheduling or processing block
Args:
block_ids (list): List of block IDs
"""
# Convert input to list if needed
if not hasattr(block_ids, "__iter__"):
block_ids = [block_ids]
for _id in blo... | Get details of scheduling or processing block
Args:
block_ids (list): List of block IDs | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L138-L159 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb.update_value | def update_value(self, block_id, field, value):
""""Update the value of the given block id and field"""
block_name = self._db.get_block(block_id)
for name in block_name:
self._db.set_value(name, field, value) | python | def update_value(self, block_id, field, value):
""""Update the value of the given block id and field"""
block_name = self._db.get_block(block_id)
for name in block_name:
self._db.set_value(name, field, value) | Update the value of the given block id and field | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L172-L176 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb.delete_sched_block_instance | def delete_sched_block_instance(self, block_id):
"""Delete the specified Scheduling Block Instance.
Removes the Scheduling Block Instance, and all Processing Blocks
that belong to it from the database"""
LOG.debug('Deleting SBI %s', block_id)
scheduling_blocks = self._db.get_al... | python | def delete_sched_block_instance(self, block_id):
"""Delete the specified Scheduling Block Instance.
Removes the Scheduling Block Instance, and all Processing Blocks
that belong to it from the database"""
LOG.debug('Deleting SBI %s', block_id)
scheduling_blocks = self._db.get_al... | Delete the specified Scheduling Block Instance.
Removes the Scheduling Block Instance, and all Processing Blocks
that belong to it from the database | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L182-L210 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb.delete_processing_block | def delete_processing_block(self, processing_block_id):
"""Delete Processing Block(s).
Uses Processing Block IDs
"""
LOG.debug("Deleting Processing Block %s ...", processing_block_id)
processing_block = self._db.get_block(processing_block_id)
if not processing_block:
... | python | def delete_processing_block(self, processing_block_id):
"""Delete Processing Block(s).
Uses Processing Block IDs
"""
LOG.debug("Deleting Processing Block %s ...", processing_block_id)
processing_block = self._db.get_block(processing_block_id)
if not processing_block:
... | Delete Processing Block(s).
Uses Processing Block IDs | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L212-L241 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb._get_schema | def _get_schema():
"""Get the schema for validation"""
schema_path = os.path.join(os.path.dirname(__file__),
'schema', 'scheduling_block_schema.json')
with open(schema_path, 'r') as file:
schema_data = file.read()
schema = json.loads(schema_... | python | def _get_schema():
"""Get the schema for validation"""
schema_path = os.path.join(os.path.dirname(__file__),
'schema', 'scheduling_block_schema.json')
with open(schema_path, 'r') as file:
schema_data = file.read()
schema = json.loads(schema_... | Get the schema for validation | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L256-L263 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb._add_status | def _add_status(scheduling_block):
"""This function adds status fields to all the section
in the scheduling block instance"""
scheduling_block['status'] = "created"
for block in scheduling_block:
if isinstance(scheduling_block[block], list):
for field in sched... | python | def _add_status(scheduling_block):
"""This function adds status fields to all the section
in the scheduling block instance"""
scheduling_block['status'] = "created"
for block in scheduling_block:
if isinstance(scheduling_block[block], list):
for field in sched... | This function adds status fields to all the section
in the scheduling block instance | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L266-L274 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/old.db/client.py | ConfigDb._split_sched_block_instance | def _split_sched_block_instance(self, scheduling_block):
"""Split the scheduling block data into multiple names
before adding to the configuration database"""
# Initialise empty list
_scheduling_block_data = {}
_processing_block_data = {}
_processing_block_id = []
... | python | def _split_sched_block_instance(self, scheduling_block):
"""Split the scheduling block data into multiple names
before adding to the configuration database"""
# Initialise empty list
_scheduling_block_data = {}
_processing_block_data = {}
_processing_block_id = []
... | Split the scheduling block data into multiple names
before adding to the configuration database | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/old.db/client.py#L276-L307 |
SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/ical_dask/pipelines/imaging_modeling.py | main | def main():
"""Workflow stage application."""
init_logging()
# Get Dask client
arlexecute.set_client(get_dask_Client())
arlexecute.run(init_logging)
LOG.info('Results dir = %s', RESULTS_DIR)
LOG.info("Starting imaging-modeling")
# Read parameters
PARFILE = 'parameters.json'
if... | python | def main():
"""Workflow stage application."""
init_logging()
# Get Dask client
arlexecute.set_client(get_dask_Client())
arlexecute.run(init_logging)
LOG.info('Results dir = %s', RESULTS_DIR)
LOG.info("Starting imaging-modeling")
# Read parameters
PARFILE = 'parameters.json'
if... | Workflow stage application. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/ical_dask/pipelines/imaging_modeling.py#L49-L169 |
SKA-ScienceDataProcessor/integration-prototype | sip/platform/logging/sip_logging/sip_logging.py | init_logger | def init_logger(logger_name='sip', log_level=None, p3_mode: bool = True,
show_thread: bool = False, propagate: bool = False,
show_log_origin=False):
"""Initialise the SIP logger.
Attaches a stdout stream handler to the 'sip' logger. This will
apply to all logger objects with... | python | def init_logger(logger_name='sip', log_level=None, p3_mode: bool = True,
show_thread: bool = False, propagate: bool = False,
show_log_origin=False):
"""Initialise the SIP logger.
Attaches a stdout stream handler to the 'sip' logger. This will
apply to all logger objects with... | Initialise the SIP logger.
Attaches a stdout stream handler to the 'sip' logger. This will
apply to all logger objects with a name prefixed by 'sip.'
This function respects the 'SIP_LOG_LEVEL' environment variable to
set the logging level.
Args:
logger_name (str, optional): Name of the lo... | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/platform/logging/sip_logging/sip_logging.py#L46-L108 |
SKA-ScienceDataProcessor/integration-prototype | sip/platform/logging/sip_logging/sip_logging.py | disable_logger | def disable_logger(logger_name: str, propagate: bool = False):
"""Disable output for the logger of the specified name."""
log = logging.getLogger(logger_name)
log.propagate = propagate
for handler in log.handlers:
log.removeHandler(handler) | python | def disable_logger(logger_name: str, propagate: bool = False):
"""Disable output for the logger of the specified name."""
log = logging.getLogger(logger_name)
log.propagate = propagate
for handler in log.handlers:
log.removeHandler(handler) | Disable output for the logger of the specified name. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/platform/logging/sip_logging/sip_logging.py#L111-L116 |
SKA-ScienceDataProcessor/integration-prototype | sip/platform/logging/sip_logging/sip_logging.py | set_log_level | def set_log_level(logger_name: str, log_level: str, propagate: bool = False):
"""Set the log level of the specified logger."""
log = logging.getLogger(logger_name)
log.propagate = propagate
log.setLevel(log_level) | python | def set_log_level(logger_name: str, log_level: str, propagate: bool = False):
"""Set the log level of the specified logger."""
log = logging.getLogger(logger_name)
log.propagate = propagate
log.setLevel(log_level) | Set the log level of the specified logger. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/platform/logging/sip_logging/sip_logging.py#L119-L123 |
SKA-ScienceDataProcessor/integration-prototype | sip/platform/logging/sip_logging/sip_logging.py | SIPFormatter.formatTime | def formatTime(self, record, datefmt=None):
"""Format the log timestamp."""
_seconds_fraction = record.created - int(record.created)
_datetime_utc = time.mktime(time.gmtime(record.created))
_datetime_utc += _seconds_fraction
_created = self.converter(_datetime_utc)
if da... | python | def formatTime(self, record, datefmt=None):
"""Format the log timestamp."""
_seconds_fraction = record.created - int(record.created)
_datetime_utc = time.mktime(time.gmtime(record.created))
_datetime_utc += _seconds_fraction
_created = self.converter(_datetime_utc)
if da... | Format the log timestamp. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/platform/logging/sip_logging/sip_logging.py#L31-L43 |
SKA-ScienceDataProcessor/integration-prototype | demos/02_running_a_workflow/generate_sbi_config.py | generate_sbi | def generate_sbi(index: int = None):
"""Generate a SBI config JSON string."""
date = datetime.datetime.utcnow().strftime('%Y%m%d')
if index is None:
index = randint(0, 999)
sbi_id = 'SBI-{}-sip-demo-{:03d}'.format(date, index)
sb_id = 'SBI-{}-sip-demo-{:03d}'.format(date, index)
pb_id = ... | python | def generate_sbi(index: int = None):
"""Generate a SBI config JSON string."""
date = datetime.datetime.utcnow().strftime('%Y%m%d')
if index is None:
index = randint(0, 999)
sbi_id = 'SBI-{}-sip-demo-{:03d}'.format(date, index)
sb_id = 'SBI-{}-sip-demo-{:03d}'.format(date, index)
pb_id = ... | Generate a SBI config JSON string. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/demos/02_running_a_workflow/generate_sbi_config.py#L9-L46 |
SKA-ScienceDataProcessor/integration-prototype | sip/science_pipeline_workflows/receive_pss/csp_pss_sender/app/pulsar_sender.py | PulsarSender.send | def send(self, config, log, obs_id, beam_id):
"""
Send the pulsar data to the ftp server
Args:
config (dict): Dictionary of settings
log (logging.Logger): Python logging object
obs_id: observation id
beam_id: beam id
"""
log.info('... | python | def send(self, config, log, obs_id, beam_id):
"""
Send the pulsar data to the ftp server
Args:
config (dict): Dictionary of settings
log (logging.Logger): Python logging object
obs_id: observation id
beam_id: beam id
"""
log.info('... | Send the pulsar data to the ftp server
Args:
config (dict): Dictionary of settings
log (logging.Logger): Python logging object
obs_id: observation id
beam_id: beam id | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/science_pipeline_workflows/receive_pss/csp_pss_sender/app/pulsar_sender.py#L33-L54 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/api/processing_block.py | get | def get(block_id):
"""Processing block detail resource."""
_url = get_root_url()
try:
block = DB.get_block_details([block_id]).__next__()
response = block
response['links'] = {
'self': '{}'.format(request.url),
'list': '{}/processing-blocks'.format(_url),
... | python | def get(block_id):
"""Processing block detail resource."""
_url = get_root_url()
try:
block = DB.get_block_details([block_id]).__next__()
response = block
response['links'] = {
'self': '{}'.format(request.url),
'list': '{}/processing-blocks'.format(_url),
... | Processing block detail resource. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/api/processing_block.py#L19-L40 |
SKA-ScienceDataProcessor/integration-prototype | sip/examples/flask_processing_controller/app/api/processing_block.py | delete | def delete(block_id):
"""Processing block detail resource."""
_url = get_root_url()
try:
DB.delete_processing_block(block_id)
response = dict(message='Deleted block',
id='{}'.format(block_id),
links=dict(list='{}/processing-blocks'.format(_url)... | python | def delete(block_id):
"""Processing block detail resource."""
_url = get_root_url()
try:
DB.delete_processing_block(block_id)
response = dict(message='Deleted block',
id='{}'.format(block_id),
links=dict(list='{}/processing-blocks'.format(_url)... | Processing block detail resource. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/examples/flask_processing_controller/app/api/processing_block.py#L45-L61 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_subarray/app/subarray_device.py | SubarrayDevice.init_device | def init_device(self):
"""Initialise the device."""
Device.init_device(self)
time.sleep(0.1)
self.set_state(DevState.STANDBY) | python | def init_device(self):
"""Initialise the device."""
Device.init_device(self)
time.sleep(0.1)
self.set_state(DevState.STANDBY) | Initialise the device. | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_subarray/app/subarray_device.py#L16-L20 |
SKA-ScienceDataProcessor/integration-prototype | sip/tango_control/tango_subarray/app/subarray_device.py | SubarrayDevice.configure | def configure(self, sbi_config: str):
"""Configure an SBI for this subarray.
Args:
sbi_config (str): SBI configuration JSON
Returns:
str,
"""
# print(sbi_config)
config_dict = json.loads(sbi_config)
self.debug_stream('SBI configuration:\... | python | def configure(self, sbi_config: str):
"""Configure an SBI for this subarray.
Args:
sbi_config (str): SBI configuration JSON
Returns:
str,
"""
# print(sbi_config)
config_dict = json.loads(sbi_config)
self.debug_stream('SBI configuration:\... | Configure an SBI for this subarray.
Args:
sbi_config (str): SBI configuration JSON
Returns:
str, | https://github.com/SKA-ScienceDataProcessor/integration-prototype/blob/8c8006de6ad71dcd44114b0338780738079c87d4/sip/tango_control/tango_subarray/app/subarray_device.py#L26-L48 |
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