code
string
signature
string
docstring
string
loss_without_docstring
float64
loss_with_docstring
float64
factor
float64
parts = [self.include_dir(root=self.url_root)] parts.append("index") return "/".join(parts)
def include_path(self)
Return 'absolute' path without regarding OS path separator This is used in ``toctree`` directives, as Sphinx always expects Unix path separators
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for path in self.find_files(patterns=patterns, dirs=dirs, ignore=ignore): data = self.read_file(path=path) if data: self.paths[path] = data
def load(self, patterns, dirs, ignore=None)
Load objects from the filesystem into the ``paths`` dictionary.
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self.objects[obj.id] = obj self.all_objects[obj.id] = obj child_stack = list(obj.children) while child_stack: child = child_stack.pop() self.all_objects[child.id] = child child_stack.extend(getattr(child, "children", ()))
def add_object(self, obj)
Add object to local and app environment storage :param obj: Instance of a AutoAPI object
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for path, data in self.paths.items(): for obj in self.create_class(data, options=options): self.add_object(obj)
def map(self, options=None)
Trigger find of serialized sources and build objects
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# TODO support JSON here # TODO sphinx way of reporting errors in logs? subcmd = "jsdoc" if os.name == "nt": subcmd = ".".join([subcmd, "cmd"]) try: parsed_data = json.loads(subprocess.check_output([subcmd, "-X", path])) return parsed...
def read_file(self, path, **kwargs)
Read file input into memory, returning deserialized objects :param path: Path of file to read
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for path, data in self.paths.items(): for item in data: for obj in self.create_class(item, options): obj.jinja_env = self.jinja_env self.add_object(obj)
def map(self, options=None)
Trigger find of serialized sources and build objects
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obj_map = dict((cls.type, cls) for cls in ALL_CLASSES) try: cls = obj_map[data["kind"]] except (KeyError, TypeError): LOGGER.warning("Unknown Type: %s" % data) else: # Recurse for children obj = cls(data, jinja_env=self.jinja_env) ...
def create_class(self, data, options=None, **kwargs)
Return instance of class based on Javascript data Data keys handled here: type Set the object class consts, types, vars, funcs Recurse into :py:meth:`create_class` to create child object instances :param data: dictionary data fr...
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value = re.sub(r"[^\w\s-]", "", value).strip() return re.sub(r"[-\s]+", "-", value)
def slugify(value)
Converts to lowercase, removes non-word characters (alphanumerics and underscores) and converts spaces to hyphens. Also strips leading and trailing whitespace.
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raise_error = kwargs.get("raise_error", True) all_files = set() if not self.app.config.autoapi_file_patterns: all_files = set() for _file in self.find_files( patterns=["docfx.json"], dirs=dirs, ignore=ignore ): all_file...
def load(self, patterns, dirs, ignore=None, **kwargs)
Load objects from the filesystem into the ``paths`` dictionary. If the setting ``autoapi_patterns`` was not specified, look for a ``docfx.json`` file by default. A ``docfx.json`` should be treated as the canonical source before the default patterns. Fallback to default pattern matches...
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try: with open(path, "r") as handle: parsed_data = yaml.safe_load(handle) return parsed_data except IOError: LOGGER.warning("Error reading file: {0}".format(path)) except TypeError: LOGGER.warning("Error reading file: {...
def read_file(self, path, **kwargs)
Read file input into memory, returning deserialized objects :param path: Path of file to read
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for path, data in self.paths.items(): references = data.get("references", []) for item in data["items"]: for obj in self.create_class(item, options, references=references): self.add_object(obj) self.organize_objects()
def map(self, options=None)
Trigger find of serialized sources and build objects
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obj_map = dict((cls.type, cls) for cls in ALL_CLASSES) try: cls = obj_map[data["type"].lower()] except KeyError: LOGGER.warning("Unknown type: %s" % data) else: obj = cls( data, jinja_env=self.jinja_env, ...
def create_class(self, data, options=None, path=None, **kwargs)
Return instance of class based on Roslyn type property Data keys handled here: type Set the object class items Recurse into :py:meth:`create_class` to create child object instances :param data: dictionary data from Roslyn output...
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if obj.top_level_object: if isinstance(obj, DotNetNamespace): self.namespaces[obj.name] = obj self.objects[obj.id] = obj
def add_object(self, obj)
Add object to local and app environment storage :param obj: Instance of a .NET object
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def _render_children(obj): for child in obj.children_strings: child_object = self.objects.get(child) if child_object: obj.item_map[child_object.plural].append(child_object) obj.children.append(child_object) ...
def organize_objects(self)
Organize objects and namespaces
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try: while True: found = DOC_COMMENT_SEE_PATTERN.search(text) if found is None: break ref = found.group("attr_value").replace("<", "\<").replace("`", "\`") reftype = "any" replacement = "" ...
def transform_doc_comments(text)
Parse XML content for references and other syntax. This avoids an LXML dependency, we only need to parse out a small subset of elements here. Iterate over string to reduce regex pattern complexity and make substitutions easier .. seealso:: `Doc comment reference <https://m...
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ref = self.references.get(obj_name) if ref is None: return obj_name resolved = ref.get("fullName", obj_name) spec = ref.get("spec.csharp", []) parts = [] for part in spec: if part.get("name") == "<": parts.append("{") ...
def resolve_spec_identifier(self, obj_name)
Find reference name based on spec identifier Spec identifiers are used in parameter and return type definitions, but should be a user-friendly version instead. Use docfx ``references`` lookup mapping for resolution. If the spec identifier reference has a ``spec.csharp`` key, this impli...
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if self.is_undoc_member and "undoc-members" not in self.options: return False if self.is_private_member and "private-members" not in self.options: return False if self.is_special_member and "special-members" not in self.options: return False r...
def display(self)
Whether this object should be displayed in documentation. This attribute depends on the configuration options given in :confval:`autoapi_options`. :type: bool
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for line in self.docstring.splitlines(): line = line.strip() if line: return line return ""
def summary(self)
The summary line of the docstring. The summary line is the first non-empty line, as-per :pep:`257`. This will be the empty string if the object does not have a docstring. :type: str
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resolved_name = name for import_name, imported_as in import_names: if import_name == name: break if imported_as == name: resolved_name = import_name break return resolved_name
def resolve_import_alias(name, import_names)
Resolve a name from an aliased import to its original name. :param name: The potentially aliased name to resolve. :type name: str :param import_names: The pairs of original names and aliases from the import. :type import_names: iterable(tuple(str, str or None)) :returns: The original name....
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partial_basename = resolve_import_alias(name, import_from.names) module_name = import_from.modname if import_from.level: module = import_from.root() assert isinstance(module, astroid.nodes.Module) module_name = module.relative_to_absolute_name( import_from.modname, ...
def get_full_import_name(import_from, name)
Get the full path of a name from a ``from x import y`` statement. :param import_from: The astroid node to resolve the name of. :type import_from: astroid.nodes.ImportFrom :param name: :type name: str :returns: The full import path of the name. :rtype: str
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full_basename = basename top_level_name = re.sub(r"\(.*\)", "", basename).split(".", 1)[0] lookup_node = node while not hasattr(lookup_node, "lookup"): lookup_node = lookup_node.parent assigns = lookup_node.lookup(top_level_name)[1] for assignment in assigns: if isinstance(...
def get_full_basename(node, basename)
Resolve a partial base name to the full path. :param node: The node representing the base name. :type node: astroid.NodeNG :param basename: The partial base name to resolve. :type basename: str :returns: The fully resolved base name. :rtype: str
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for base, basename in zip(bases, basenames): yield get_full_basename(base, basename)
def get_full_basenames(bases, basenames)
Resolve the base nodes and partial names of a class to full names. :param bases: The astroid node representing something that a class inherits from. :type bases: iterable(astroid.NodeNG) :param basenames: The partial name of something that a class inherits from. :type basenames: iterable(str) ...
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try: targets = node.targets except AttributeError: targets = [node.target] if len(targets) == 1: target = targets[0] if isinstance(target, astroid.nodes.AssignName): name = target.name elif isinstance(target, astroid.nodes.AssignAttr): na...
def get_assign_value(node)
Get the name and value of the assignment of the given node. Assignments to multiple names are ignored, as per PEP 257. :param node: The node to get the assignment value from. :type node: astroid.nodes.Assign or astroid.nodes.AnnAssign :returns: The name that is assigned to, and the value assi...
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annotation = None annotation_node = None try: annotation_node = node.annotation except AttributeError: # Python 2 has no support for type annotations, so use getattr annotation_node = getattr(node, "type_annotation", None) if annotation_node: if isinstance(anno...
def get_assign_annotation(node)
Get the type annotation of the assignment of the given node. :param node: The node to get the annotation for. :type node: astroid.nodes.Assign or astroid.nodes.AnnAssign :returns: The type annotation as a string, or None if one does not exist. :type: str or None
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if not node.decorators: return False for decorator in node.decorators.nodes: if not isinstance(decorator, astroid.Name): continue try: if _is_property_decorator(decorator): return True except astroid.InferenceError: pass ...
def is_decorated_with_property(node)
Check if the function is decorated as a property. :param node: The node to check. :type node: astroid.nodes.FunctionDef :returns: True if the function is a property, False otherwise. :rtype: bool
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if not node.decorators: return False for decorator in node.decorators.nodes: if ( isinstance(decorator, astroid.nodes.Attribute) and decorator.attrname == "setter" ): return True return False
def is_decorated_with_property_setter(node)
Check if the function is decorated as a property setter. :param node: The node to check. :type node: astroid.nodes.FunctionDef :returns: True if the function is a property setter, False otherwise. :rtype: bool
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return ( node.parent and isinstance(node.parent.scope(), astroid.nodes.ClassDef) and node.name == "__init__" )
def is_constructor(node)
Check if the function is a constructor. :param node: The node to check. :type node: astroid.nodes.FunctionDef :returns: True if the function is a contructor, False otherwise. :rtype: bool
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if ( node.name in ("Exception", "BaseException") and node.root().name == _EXCEPTIONS_MODULE ): return True if not hasattr(node, "ancestors"): return False return any(is_exception(parent) for parent in node.ancestors(recurs=True))
def is_exception(node)
Check if a class is an exception. :param node: The node to check. :type node: astroid.nodes.ClassDef :returns: True if the class is an exception, False otherwise. :rtype: bool
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if not isinstance(node, astroid.ImportFrom): return False return ( node.level or node.modname == package_name or node.modname.startswith(package_name + ".") )
def is_local_import_from(node, package_name)
Check if a node is an import from the local package. :param node: The node to check. :type node: astroid.node.NodeNG :param package_name: The name of the local package. :type package_name: str :returns: True if the node is an import from the local package, False otherwise. :rtype: boo...
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all_ = None if "__all__" in node.locals: assigned = next(node.igetattr("__all__")) if assigned is not astroid.Uninferable: all_ = [] for elt in getattr(assigned, "elts", ()): try: elt_name = next(elt.infer()) excep...
def get_module_all(node)
Get the contents of the ``__all__`` variable from a module. :param node: The module to get ``__all__`` from. :type node: astroid.nodes.Module :returns: The contents of ``__all__`` if defined. Otherwise None. :rtype: list(str) or None
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if not app.config.autoapi_dirs: raise ExtensionError("You must configure an autoapi_dirs setting") # Make sure the paths are full normalized_dirs = [] autoapi_dirs = app.config.autoapi_dirs if isinstance(autoapi_dirs, str): autoapi_dirs = [autoapi_dirs] for path in autoapi...
def run_autoapi(app)
Load AutoAPI data from the filesystem.
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if app.env.docname == "index": all_docs = set() insert = True nodes = doctree.traverse(toctree) toc_entry = "%s/index" % app.config.autoapi_root add_entry = ( nodes and app.config.autoapi_generate_api_docs and app.config.autoapi_add_to...
def doctree_read(app, doctree)
Inject AutoAPI into the TOC Tree dynamically.
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originals = originals_map.values() if original_module["all"] is not None: originals = [] for name in original_module["all"]: if name == "__all__": continue if name not in originals_map: msg = "Invalid __all__ entry {0} in {1}".format(...
def _expand_wildcard_placeholder(original_module, originals_map, placeholder)
Expand a wildcard placeholder to a sequence of named placeholders. :param original_module: The data dictionary of the module that the placeholder is imported from. :type original_module: dict :param originals_map: A map of the names of children under the module to their data dictionaries. ...
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if module_name in resolved: return visit_path[module_name] = True module, children = modules[module_name] for child in list(children.values()): if child["type"] != "placeholder": continue if child["original_path"] in modules: module["children"].rem...
def _resolve_module_placeholders(modules, module_name, visit_path, resolved)
Resolve all placeholder children under a module. :param modules: A mapping of module names to their data dictionary. Placeholders are resolved in place. :type modules: dict(str, dict) :param module_name: The name of the module to resolve. :type module_name: str :param visit_path: An ordered...
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new = copy.deepcopy(original) # The name remains the same. new["name"] = placeholder["name"] new["full_name"] = placeholder["full_name"] # Record where the placeholder originally came from. new["original_path"] = original["full_name"] # The source lines for this placeholder do not exist...
def _resolve_placeholder(placeholder, original)
Resolve a placeholder to the given original object. :param placeholder: The placeholder to resolve, in place. :type placeholder: dict :param original: The object that the placeholder represents. :type original: dict
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for dir_ in dirs: dir_root = dir_ if os.path.exists(os.path.join(dir_, "__init__.py")): dir_root = os.path.abspath(os.path.join(dir_, os.pardir)) for path in self.find_files(patterns=patterns, dirs=[dir_], ignore=ignore): data = self....
def load(self, patterns, dirs, ignore=None)
Load objects from the filesystem into the ``paths`` dictionary Also include an attribute on the object, ``relative_path`` which is the shortened, relative path the package/module
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try: parsed_data = Parser().parse_file(path) return parsed_data except (IOError, TypeError, ImportError): LOGGER.warning("Error reading file: {0}".format(path)) return None
def read_file(self, path, **kwargs)
Read file input into memory, returning deserialized objects :param path: Path of file to read
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modules = {} for module in self.paths.values(): children = {child["name"]: child for child in module["children"]} modules[module["name"]] = (module, children) resolved = set() for module_name in modules: visit_path = collections.OrderedDict()...
def _resolve_placeholders(self)
Resolve objects that have been imported from elsewhere.
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obj_map = dict( (cls.type, cls) for cls in [ PythonClass, PythonFunction, PythonModule, PythonMethod, PythonPackage, PythonAttribute, PythonData, Pytho...
def create_class(self, data, options=None, **kwargs)
Create a class from the passed in data :param data: dictionary data of parser output
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reference = nodes.reference( "", "", internal=True, refuri=docname, anchorname="#" + anchor, *[nodes.Text(text, text)] ) para = addnodes.compact_paragraph("", "", reference) ret_list = nodes.list_item("", para) return nodes.bullet_list("", ret_lis...
def _build_toc_node(docname, anchor="anchor", text="test text", bullet=False)
Create the node structure that Sphinx expects for TOC Tree entries. The ``bullet`` argument wraps it in a ``nodes.bullet_list``, which is how you nest TOC Tree entries.
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curr_node = node.parent while curr_node is not None: if isinstance(curr_node, objtypes): return curr_node curr_node = curr_node.parent return None
def _traverse_parent(node, objtypes)
Traverse up the node's parents until you hit the ``objtypes`` referenced. Can either be a single type, or a tuple of types.
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for check_node in toc.traverse(nodes.reference): if objtype == nodes.section and ( check_node.attributes["refuri"] == ref_id or check_node.attributes["anchorname"] == "#" + ref_id ): return check_node if ( objtype == addnodes.desc ...
def _find_toc_node(toc, ref_id, objtype)
Find the actual TOC node for a ref_id. Depends on the object type: * Section - First section (refuri) or 2nd+ level section (anchorname) * Desc - Just use the anchor name
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if isinstance(node, nodes.section) and isinstance(node.parent, nodes.document): # Top Level Section header ref_id = docname toc_reference = _find_toc_node(toc, ref_id, nodes.section) elif isinstance(node, nodes.section): # Nested Section header ref_id = node.attribut...
def _get_toc_reference(app, node, toc, docname)
Logic that understands maps a specific node to it's part of the toctree. It takes a specific incoming ``node``, and returns the actual TOC Tree node that is said reference.
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toc = app.env.tocs[docname] for desc_node in doctree.traverse(addnodes.desc): try: ref_id = desc_node.children[0].attributes["ids"][0] except (KeyError, IndexError) as e: LOGGER.warning("Invalid desc node: %s" % e) continue try: # Pyth...
def add_domain_to_toctree(app, doctree, docname)
Add domain objects to the toctree dynamically. This should be attached to the ``doctree-resolved`` event. This works by: * Finding each domain node (addnodes.desc) * Figuring out it's parent that will be in the toctree (nodes.section, or a previously added addnodes.desc) * Finding that pa...
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self.warnings.append( self.state.document.reporter.warning(msg, line=self.lineno) )
def warn(self, msg)
Add a warning message. :param msg: The warning message to add. :type msg: str
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for line in self.content: line = line.strip() if line and re.search("^[a-zA-Z0-9]", line): yield line
def _get_names(self)
Get the names of the objects to include in the table. :returns: The names of the objects to include. :rtype: generator(str)
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days = duration.days hours = int(duration.seconds / 3600) minutes = int(duration.seconds % 3600 / 60) seconds = int(duration.seconds % 3600 % 60) parts = [] if days > 0: parts.append(u'%s %s' % (days, pluralize(days, _('day,days')))) if hours > 0: parts.append(u'%s %s'...
def humanize_duration(duration)
Returns a humanized string representing time difference For example: 2 days 1 hour 25 minutes 10 seconds
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with CronJobManager(cron_class, silent) as manager: manager.run(force)
def run_cron_with_cache_check(cron_class, force=False, silent=False)
Checks the cache and runs the cron or not. @cron_class - cron class to run. @force - run job even if not scheduled @silent - suppress notifications
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if hasattr(settings, 'DJANGO_CRON_DELETE_LOGS_OLDER_THAN'): delta = timedelta(days=settings.DJANGO_CRON_DELETE_LOGS_OLDER_THAN) CronJobLog.objects.filter(end_time__lt=get_current_time() - delta).delete()
def clear_old_log_entries()
Removes older log entries, if the appropriate setting has been set
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cron_classes = options['cron_classes'] if cron_classes: cron_class_names = cron_classes else: cron_class_names = getattr(settings, 'CRON_CLASSES', []) try: crons_to_run = [get_class(x) for x in cron_class_names] except Exception: ...
def handle(self, *args, **options)
Iterates over all the CRON_CLASSES (or if passed in as a commandline argument) and runs them.
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from django_cron.models import CronJobLog cron_job = self.cron_job self.user_time = None self.previously_ran_successful_cron = None # If we pass --force options, we force cron run if force: return True if cron_job.schedule.run_every_mins is ...
def should_run_now(self, force=False)
Returns a boolean determining whether this cron should run now or not!
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cron_job_class = self.cron_job_class if not issubclass(cron_job_class, CronJobBase): raise Exception('The cron_job to be run must be a subclass of %s' % CronJobBase.__name__) with self.lock_class(cron_job_class, self.silent): self.cron_job = cron_job_class() ...
def run(self, force=False)
apply the logic of the schedule and call do() on the CronJobBase class
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if self.cache.get(self.lock_name): return False else: self.cache.set(self.lock_name, timezone.now(), self.timeout) return True
def lock(self)
This method sets a cache variable to mark current job as "already running".
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path = app_settings.INVITATION_MODEL try: return django_apps.get_model(path) except ValueError: raise ImproperlyConfigured( "path must be of the form 'app_label.model_name'" ) except LookupError: raise ImproperlyConfigured( "path refers to mod...
def get_invitation_model()
Returns the Invitation model that is active in this project.
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subject = render_to_string('{0}_subject.txt'.format(template_prefix), context) # remove superfluous line breaks subject = " ".join(subject.splitlines()).strip() subject = self.format_email_subject(subject) bodies = {} for ext i...
def render_mail(self, template_prefix, email, context)
Renders an e-mail to `email`. `template_prefix` identifies the e-mail that is to be sent, e.g. "account/email/email_confirmation"
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response = await self.docker._query_json("images/json", "GET", params=params) return response
async def list(self, **params) -> Mapping
List of images
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response = await self.docker._query_json("images/{name}/json".format(name=name)) return response
async def inspect(self, name: str) -> Mapping
Return low-level information about an image Args: name: name of the image
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image = from_image # TODO: clean up params = {"fromImage": image} headers = {} if repo: params["repo"] = repo if tag: params["tag"] = tag if auth is not None: registry, has_registry_host, _ = image.partition("/") i...
async def pull( self, from_image: str, *, auth: Optional[Union[MutableMapping, str, bytes]] = None, tag: str = None, repo: str = None, stream: bool = False ) -> Mapping
Similar to `docker pull`, pull an image locally Args: fromImage: name of the image to pull repo: repository name given to an image when it is imported tag: if empty when pulling an image all tags for the given image to be pulled auth: special {'a...
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params = {"repo": repo} if tag: params["tag"] = tag await self.docker._query( "images/{name}/tag".format(name=name), "POST", params=params, headers={"content-type": "application/json"}, ) return True
async def tag(self, name: str, repo: str, *, tag: str = None) -> bool
Tag the given image so that it becomes part of a repository. Args: repo: the repository to tag in tag: the name for the new tag
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params = {"force": force, "noprune": noprune} response = await self.docker._query_json( "images/{name}".format(name=name), "DELETE", params=params ) return response
async def delete( self, name: str, *, force: bool = False, noprune: bool = False ) -> List
Remove an image along with any untagged parent images that were referenced by that image Args: name: name/id of the image to delete force: remove the image even if it is being used by stopped containers or has other tags noprune: don't delete untag...
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3.795949
0.921301
local_context = None headers = {} params = { "t": tag, "rm": rm, "q": quiet, "pull": pull, "remote": remote, "nocache": nocache, "forcerm": forcerm, "dockerfile": path_dockerfile, ...
async def build( self, *, remote: str = None, fileobj: BinaryIO = None, path_dockerfile: str = None, tag: str = None, quiet: bool = False, nocache: bool = False, buildargs: Mapping = None, pull: bool = False, rm: bool = True, ...
Build an image given a remote Dockerfile or a file object with a Dockerfile inside Args: path_dockerfile: path within the build context to the Dockerfile remote: a Git repository URI or HTTP/HTTPS context URI quiet: suppress verbose build output nocache: ...
2.54018
2.624955
0.967704
response = await self.docker._query( "images/{name}/get".format(name=name), "GET" ) return response.content
async def export_image(self, name: str)
Get a tarball of an image by name or id. Args: name: name/id of the image to be exported Returns: Streamreader of tarball image
8.242966
6.597765
1.249357
headers = {"Content-Type": "application/x-tar"} response = await self.docker._query_chunked_post( "images/load", "POST", data=data, headers=headers ) return await json_stream_result(response, stream=stream)
async def import_image(self, data, stream: bool = False)
Import tarball of image to docker. Args: data: tarball data of image to be imported Returns: Tarball of the image
6.734717
6.951302
0.968843
if response_type is None: ct = response.headers.get("content-type") if ct is None: cl = response.headers.get("content-length") if cl is None or cl == "0": return "" raise TypeError( "Cannot auto-detect response type " ...
async def parse_result(response, response_type=None, *, encoding="utf-8")
Convert the response to native objects by the given response type or the auto-detected HTTP content-type. It also ensures release of the response object.
2.241379
2.211528
1.013498
pieces = ct.split(";") try: main_type, sub_type = pieces[0].split("/") except ValueError: msg = 'Invalid mime-type component: "{0}"'.format(pieces[0]) raise ValueError(msg) if len(pieces) > 1: options = {} for opt in pieces[1:]: opt = opt.strip() ...
def parse_content_type(ct: str) -> Tuple[str, str, Mapping[str, str]]
Decompose the value of HTTP "Content-Type" header into the main/sub MIME types and other extra options as a dictionary. All parsed values are lower-cased automatically.
1.95521
1.811835
1.079132
return {k: v for k, v in obj.items() if v is not None}
def clean_map(obj: Mapping[Any, Any]) -> Mapping[Any, Any]
Return a new copied dictionary without the keys with ``None`` values from the given Mapping object.
2.78728
2.917657
0.955315
if value is None: return key if isinstance(value, bytes): value = value.decode("utf-8") return "{key}={value}".format(key=key, value=value)
def format_env(key, value: Union[None, bytes, str]) -> str
Formats envs from {key:value} to ['key=value']
2.572897
2.062628
1.247387
if not networks: return networks if not isinstance(networks, list): raise TypeError("networks parameter must be a list.") result = [] for n in networks: if isinstance(n, str): n = {"Target": n} result.append(n) return result
def clean_networks(networks: Iterable[str] = None) -> Optional[Iterable[str]]
Cleans the values inside `networks` Returns a new list
3.436419
3.492877
0.983836
if filters and isinstance(filters, dict): for k, v in filters.items(): if not isinstance(v, list): v = [v] filters[k] = v return json.dumps(filters)
def clean_filters(filters: Mapping = None) -> str
Checks the values inside `filters` https://docs.docker.com/engine/api/v1.29/#operation/ServiceList Returns a new dictionary in the format `map[string][]string` jsonized
2.767907
2.694746
1.027149
f = tempfile.NamedTemporaryFile() t = tarfile.open(mode="w:gz", fileobj=f) if isinstance(fileobject, BytesIO): dfinfo = tarfile.TarInfo("Dockerfile") dfinfo.size = len(fileobject.getvalue()) fileobject.seek(0) else: dfinfo = t.gettarinfo(fileobj=fileobject, arcname...
def mktar_from_dockerfile(fileobject: BinaryIO) -> IO
Create a zipped tar archive from a Dockerfile **Remember to close the file object** Args: fileobj: a Dockerfile Returns: a NamedTemporaryFile() object
2.257226
2.15433
1.047763
if isinstance(auth, Mapping): # Validate the JSON format only. if "identitytoken" in auth: pass elif "auth" in auth: return compose_auth_header(auth["auth"], registry_addr) else: if registry_addr: auth["serveraddress"] = regist...
def compose_auth_header( auth: Union[MutableMapping, str, bytes], registry_addr: str = None ) -> str
Validate and compose base64-encoded authentication header with an optional support for parsing legacy-style "user:password" strings. Args: auth: Authentication information registry_addr: An address of the registry server Returns: A base64-encoded X-Registry-Auth header value
2.943621
2.931031
1.004295
response = await self.docker._query_json( "tasks/{task_id}".format(task_id=task_id), method="GET" ) return response
async def inspect(self, task_id: str) -> Mapping[str, Any]
Return info about a task Args: task_id: is ID of the task
5.11141
4.922707
1.038333
try: container = await self.create(config, name=name) except DockerError as err: # image not find, try pull it if err.status == 404 and "Image" in config: await self.docker.pull(config["Image"]) container = await self.create(co...
async def run(self, config, *, name=None)
Create and start a container. If container.start() will raise an error the exception will contain a `container_id` attribute with the id of the container.
3.294479
2.905661
1.133814
if create_task and not self.task: self.task = asyncio.ensure_future(self.run(**params)) return self.channel.subscribe()
def subscribe(self, *, create_task=True, **params)
Subscribes to the Docker events channel. Use the keyword argument create_task=False to prevent automatically spawning the background tasks that listen to the events. This function returns a ChannelSubscriber object.
4.449753
4.680683
0.950663
if self.json_stream: warnings.warn("already running", RuntimeWarning, stackelevel=2) return forced_params = {"stream": True} params = ChainMap(forced_params, params) try: # timeout has to be set to 0, None is not passed # Otherwise...
async def run(self, **params)
Query the events endpoint of the Docker daemon. Publish messages inside the asyncio queue.
5.318062
4.867548
1.092555
response = await self.docker._query_json( "nodes/{node_id}".format(node_id=node_id), method="GET" ) return response
async def inspect(self, *, node_id: str) -> Mapping[str, Any]
Inspect a node Args: node_id: The ID or name of the node
5.248291
5.967693
0.879451
params = {"version": version} if "Role" in spec: assert spec["Role"] in {"worker", "manager"} if "Availability" in spec: assert spec["Availability"] in {"active", "pause", "drain"} response = await self.docker._query_json( "nodes/{node_id}...
async def update( self, *, node_id: str, version: int, spec: Mapping[str, Any] ) -> Mapping[str, Any]
Update the spec of a node. Args: node_id: The ID or name of the node version: version number of the node being updated spec: fields to be updated
3.75692
4.069678
0.923149
params = {"force": force} response = await self.docker._query_json( "nodes/{node_id}".format(node_id=node_id), method="DELETE", params=params ) return response
async def remove(self, *, node_id: str, force: bool = False) -> Mapping[str, Any]
Remove a node from a swarm. Args: node_id: The ID or name of the node
3.996316
5.491254
0.72776
url = self._canonicalize_url(path) if headers and "content-type" not in headers: headers["content-type"] = "application/json" try: response = await self.session.request( method, url, params=httpize(params), ...
async def _query( self, path, method="GET", *, params=None, data=None, headers=None, timeout=None, chunked=None )
Get the response object by performing the HTTP request. The caller is responsible to finalize the response object.
2.411023
2.34801
1.026837
if headers is None: headers = {} headers["content-type"] = "application/json" if not isinstance(data, (str, bytes)): data = json.dumps(data) response = await self._query( path, method, params=params, data=data, headers=headers, timeout=timeout...
async def _query_json( self, path, method="GET", *, params=None, data=None, headers=None, timeout=None )
A shorthand of _query() that treats the input as JSON.
2.341875
2.074439
1.12892
if headers is None: headers = {} if headers and "content-type" not in headers: headers["content-type"] = "application/octet-stream" response = await self._query( path, method, params=params, data=data, h...
async def _query_chunked_post( self, path, method="POST", *, params=None, data=None, headers=None, timeout=None )
A shorthand for uploading data by chunks
2.067976
1.858662
1.112615
context = ssl.SSLContext(ssl.PROTOCOL_TLS) context.set_ciphers(ssl._RESTRICTED_SERVER_CIPHERS) certs_path = os.environ.get("DOCKER_CERT_PATH", None) if certs_path is None: raise ValueError( "Cannot create ssl context, " "DOCKER_CERT_PATH is not set!" ...
def _docker_machine_ssl_context()
Create a SSLContext object using DOCKER_* env vars.
2.22279
2.105047
1.055934
data = { "AdvertiseAddr": advertise_addr, "ListenAddr": listen_addr, "ForceNewCluster": force_new_cluster, "Spec": swarm_spec, } response = await self.docker._query_json("swarm/init", method="POST", data=data) return response
async def init( self, *, advertise_addr: str = None, listen_addr: str = "0.0.0.0:2377", force_new_cluster: bool = False, swarm_spec: Mapping = None ) -> str
Initialize a new swarm. Args: ListenAddr: listen address used for inter-manager communication AdvertiseAddr: address advertised to other nodes. ForceNewCluster: Force creation of a new swarm. SwarmSpec: User modifiable swarm configuration. Returns: ...
2.865484
3.293539
0.870032
data = { "RemoteAddrs": list(remote_addrs), "JoinToken": join_token, "ListenAddr": listen_addr, "AdvertiseAddr": advertise_addr, "DataPathAddr": data_path_addr, } await self.docker._query("swarm/join", method="POST", data=cle...
async def join( self, *, remote_addrs: Iterable[str], listen_addr: str = "0.0.0.0:2377", join_token: str, advertise_addr: str = None, data_path_addr: str = None ) -> bool
Join a swarm. Args: listen_addr Used for inter-manager communication advertise_addr Externally reachable address advertised to other nodes. data_path_addr Address or interface to use for data path traffic. remote...
3.345597
3.578297
0.934969
params = {"force": force} await self.docker._query("swarm/leave", method="POST", params=params) return True
async def leave(self, *, force: bool = False) -> bool
Leave a swarm. Args: force: force to leave the swarm even if the node is a master
9.468158
10.022107
0.944727
params = {"filters": clean_filters(filters)} response = await self.docker._query_json( "services", method="GET", params=params ) return response
async def list(self, *, filters: Mapping = None) -> List[Mapping]
Return a list of services Args: filters: a dict with a list of filters Available filters: id=<service id> label=<service label> mode=["replicated"|"global"] name=<service name>
6.510499
7.905237
0.823568
if "Image" not in task_template["ContainerSpec"]: raise KeyError("Missing mandatory Image key in ContainerSpec") if auth and registry is None: raise KeyError( "When auth is specified you need to specifiy also the registry" ) # from ...
async def create( self, task_template: Mapping[str, Any], *, name: str = None, labels: List = None, mode: Mapping = None, update_config: Mapping = None, rollback_config: Mapping = None, networks: List = None, endpoint_spec: Mapping = None, ...
Create a service Args: task_template: user modifiable task configuration name: name of the service labels: user-defined key/value metadata mode: scheduling mode for the service update_config: update strategy of the service rollback_config:...
2.838605
2.848143
0.996651
if image is None and rollback is False: raise ValueError("You need to specify an image.") inspect_service = await self.inspect(service_id) spec = inspect_service["Spec"] if image is not None: spec["TaskTemplate"]["ContainerSpec"]["Image"] = image ...
async def update( self, service_id: str, version: str, *, image: str = None, rollback: bool = False ) -> bool
Update a service. If rollback is True image will be ignored. Args: service_id: ID or name of the service. version: Version of the service that you want to update. rollback: Rollback the service to the previous service spec. Returns: True if succe...
3.291282
3.280961
1.003146
await self.docker._query( "services/{service_id}".format(service_id=service_id), method="DELETE" ) return True
async def delete(self, service_id: str) -> bool
Remove a service Args: service_id: ID or name of the service Returns: True if successful
6.7925
6.209588
1.093873
response = await self.docker._query_json( "services/{service_id}".format(service_id=service_id), method="GET" ) return response
async def inspect(self, service_id: str) -> Mapping[str, Any]
Inspect a service Args: service_id: ID or name of the service Returns: a dict with info about a service
5.433629
5.070393
1.071639
if stdout is False and stderr is False: raise TypeError("Need one of stdout or stderr") params = { "details": details, "follow": follow, "stdout": stdout, "stderr": stderr, "since": since, "timestamps": timesta...
async def logs( self, service_id: str, *, details: bool = False, follow: bool = False, stdout: bool = False, stderr: bool = False, since: int = 0, timestamps: bool = False, is_tty: bool = False, tail: str = "all" ) -> Union[str,...
Retrieve logs of the given service Args: details: show service context and extra details provided to logs follow: return the logs as a stream. stdout: return logs from stdout stderr: return logs from stderr since: return logs since this time, as a UNI...
2.730489
2.935296
0.930226
if not hash_name in self.buckets: self.buckets[hash_name] = {} if not bucket_key in self.buckets[hash_name]: self.buckets[hash_name][bucket_key] = [] self.buckets[hash_name][bucket_key].append((v, data))
def store_vector(self, hash_name, bucket_key, v, data)
Stores vector and JSON-serializable data in bucket with specified key.
1.709873
1.743207
0.980878
if data is None: data = itertools.repeat(data) for v, k, d in zip(vs, bucket_keys, data): self.store_vector(hash_name, k, v, d)
def store_many_vectors(self, hash_name, bucket_keys, vs, data)
Store a batch of vectors. Stores vector and JSON-serializable data in bucket with specified key.
3.032614
2.958634
1.025005
for key in bucket_keys: bucket = self.get_bucket(hash_name, key) bucket[:] = [(v, id_data) for v, id_data in bucket if id_data != data]
def delete_vector(self, hash_name, bucket_keys, data)
Deletes vector and JSON-serializable data in buckets with specified keys.
4.438119
4.39483
1.00985
if hash_name in self.buckets: if bucket_key in self.buckets[hash_name]: return self.buckets[hash_name][bucket_key] return []
def get_bucket(self, hash_name, bucket_key)
Returns bucket content as list of tuples (vector, data).
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1.803888
1.165065
# First increase vector count of this subtree self.vector_count = self.vector_count + 1 if tree_depth < len(bucket_key): hash_char = bucket_key[tree_depth] # This is not the leaf so continue down into the tree towards the leafes #print 'hash_char=...
def insert_entry_for_bucket(self, bucket_key, tree_depth)
Increases counter for specified bucket_key (leaf of tree) and also increases counters along the way from the root to the leaf.
4.129347
4.15795
0.993121
if len(self.childs) == 0: # This is a leaf so just return the bucket key (we reached the bucket leaf) #print 'Returning (collect) leaf bucket key %s with %d vectors' % (self.bucket_key, self.vector_count) return [self.bucket_key] # Not leaf, return results o...
def collect_all_bucket_keys(self)
Just collects all buckets keys from subtree
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4.640388
1.048962
if tree_depth == len(bucket_key): #print 'Returning leaf bucket key %s with %d vectors' % (self.bucket_key, self.vector_count) # This is a leaf so just return the bucket key (we reached the bucket leaf) return [self.bucket_key] # If not leaf, this is a subt...
def bucket_keys_to_guarantee_result_set_size(self, bucket_key, N, tree_depth)
Returns list of bucket keys based on the specified bucket key and minimum result size N.
3.263419
3.224225
1.012156
if self.dim != dim: self.dim = dim self.normals = self.rand.randn(self.projection_count, dim) self.tree_root = RandomBinaryProjectionTreeNode()
def reset(self, dim)
Resets / Initializes the hash for the specified dimension.
10.464848
9.906463
1.056366
if scipy.sparse.issparse(v): # If vector is sparse, make sure we have the CSR representation # of the projection matrix if self.normals_csr == None: self.normals_csr = scipy.sparse.csr_matrix(self.normals) # Make sure that we are using CSR...
def hash_vector(self, v, querying=False)
Hashes the vector and returns the binary bucket key as string.
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4.704409
1.062361