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value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
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train | MetricsSet.counter | Returns an existing or creates and returns a new counter
:param name: name of the counter
:return: the counter object | elasticapm/metrics/base_metrics.py | def counter(self, name):
"""
Returns an existing or creates and returns a new counter
:param name: name of the counter
:return: the counter object
"""
with self._lock:
if name not in self._counters:
if self._registry._ignore_patterns and any(
... | def counter(self, name):
"""
Returns an existing or creates and returns a new counter
:param name: name of the counter
:return: the counter object
"""
with self._lock:
if name not in self._counters:
if self._registry._ignore_patterns and any(
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train | MetricsSet.gauge | Returns an existing or creates and returns a new gauge
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Returns an existing or creates and returns a new gauge
:param name: name of the gauge
:return: the gauge object
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train | MetricsSet.collect | Collects all metrics attached to this metricset, and returns it as a list, together with a timestamp
in microsecond precision.
The format of the return value should be
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"samples": {"metric.name": {"value": some_float}, ...},
"timestamp": unix epoch in micro... | elasticapm/metrics/base_metrics.py | def collect(self):
"""
Collects all metrics attached to this metricset, and returns it as a list, together with a timestamp
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The format of the return value should be
{
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... | def collect(self):
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Collects all metrics attached to this metricset, and returns it as a list, together with a timestamp
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train | tag | Tags current transaction. Both key and value of the tag should be strings. | elasticapm/traces.py | def tag(**tags):
"""
Tags current transaction. Both key and value of the tag should be strings.
"""
transaction = execution_context.get_transaction()
if not transaction:
error_logger.warning("Ignored tags %s. No transaction currently active.", ", ".join(tags.keys()))
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transa... | def tag(**tags):
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Tags current transaction. Both key and value of the tag should be strings.
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train | Transaction.begin_span | Begin a new span
:param name: name of the span
:param span_type: type of the span
:param context: a context dict
:param leaf: True if this is a leaf span
:param tags: a flat string/string dict of tags
:return: the Span object | elasticapm/traces.py | def begin_span(self, name, span_type, context=None, leaf=False, tags=None):
"""
Begin a new span
:param name: name of the span
:param span_type: type of the span
:param context: a context dict
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:param tags: a flat string/str... | def begin_span(self, name, span_type, context=None, leaf=False, tags=None):
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Begin a new span
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train | Transaction.ensure_parent_id | If current trace_parent has no span_id, generate one, then return it
This is used to generate a span ID which the RUM agent will use to correlate
the RUM transaction with the backend transaction. | elasticapm/traces.py | def ensure_parent_id(self):
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This is used to generate a span ID which the RUM agent will use to correlate
the RUM transaction with the backend transaction.
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train | Transaction.tag | Tag this transaction with one or multiple key/value tags. Both the values should be strings
transaction_obj.tag(key1="value1", key2="value2")
Note that keys will be dedotted, replacing dot (.), star (*) and double quote (") with an underscore (_) | elasticapm/traces.py | def tag(self, **tags):
"""
Tag this transaction with one or multiple key/value tags. Both the values should be strings
transaction_obj.tag(key1="value1", key2="value2")
Note that keys will be dedotted, replacing dot (.), star (*) and double quote (") with an underscore (_)
... | def tag(self, **tags):
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Tag this transaction with one or multiple key/value tags. Both the values should be strings
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train | Tracer.begin_transaction | Start a new transactions and bind it in a thread-local variable
:returns the Transaction object | elasticapm/traces.py | def begin_transaction(self, transaction_type, trace_parent=None):
"""
Start a new transactions and bind it in a thread-local variable
:returns the Transaction object
"""
if trace_parent:
is_sampled = bool(trace_parent.trace_options.recorded)
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"""
Start a new transactions and bind it in a thread-local variable
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if trace_parent:
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train | Command.handle_check | Check your settings for common misconfigurations | elasticapm/contrib/django/management/commands/elasticapm.py | def handle_check(self, command, **options):
"""Check your settings for common misconfigurations"""
passed = True
client = DjangoClient(metrics_interval="0ms")
def is_set(x):
return x and x != "None"
# check if org/app is set:
if is_set(client.config.service_... | def handle_check(self, command, **options):
"""Check your settings for common misconfigurations"""
passed = True
client = DjangoClient(metrics_interval="0ms")
def is_set(x):
return x and x != "None"
# check if org/app is set:
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train | Command.write | wrapper around self.stdout/stderr to ensure Django 1.4 compatibility | elasticapm/contrib/django/management/commands/elasticapm.py | def write(self, msg, style_func=None, ending=None, stream=None):
"""
wrapper around self.stdout/stderr to ensure Django 1.4 compatibility
"""
if stream is None:
stream = self.stdout
if OutputWrapper is None:
ending = "\n" if ending is None else ending
... | def write(self, msg, style_func=None, ending=None, stream=None):
"""
wrapper around self.stdout/stderr to ensure Django 1.4 compatibility
"""
if stream is None:
stream = self.stdout
if OutputWrapper is None:
ending = "\n" if ending is None else ending
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train | Middleware.server_inspect_exception | Called when an exception has been raised in the code run by ZeroRPC | elasticapm/contrib/zerorpc/__init__.py | def server_inspect_exception(self, req_event, rep_event, task_ctx, exc_info):
"""Called when an exception has been raised in the code run by ZeroRPC"""
# Hide the zerorpc internal frames for readability, for a REQ/REP or
# REQ/STREAM server the frames to hide are:
# - core.ServerBase._a... | def server_inspect_exception(self, req_event, rep_event, task_ctx, exc_info):
"""Called when an exception has been raised in the code run by ZeroRPC"""
# Hide the zerorpc internal frames for readability, for a REQ/REP or
# REQ/STREAM server the frames to hide are:
# - core.ServerBase._a... | [
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train | AbstractInstrumentedModule.mutate_unsampled_call_args | Method called for unsampled wrapped calls. This can e.g. be used to add traceparent headers to the
underlying http call for HTTP instrumentations.
:param module:
:param method:
:param wrapped:
:param instance:
:param args:
:param kwargs:
:param transactio... | elasticapm/instrumentation/packages/base.py | def mutate_unsampled_call_args(self, module, method, wrapped, instance, args, kwargs, transaction):
"""
Method called for unsampled wrapped calls. This can e.g. be used to add traceparent headers to the
underlying http call for HTTP instrumentations.
:param module:
:param method... | def mutate_unsampled_call_args(self, module, method, wrapped, instance, args, kwargs, transaction):
"""
Method called for unsampled wrapped calls. This can e.g. be used to add traceparent headers to the
underlying http call for HTTP instrumentations.
:param module:
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train | instrument | Auto-instruments code to get nice spans | elasticapm/contrib/django/apps.py | def instrument(client):
"""
Auto-instruments code to get nice spans
"""
from elasticapm.instrumentation.control import instrument
instrument()
try:
import celery # noqa F401
from elasticapm.contrib.celery import register_instrumentation
register_instrumentation(client)... | def instrument(client):
"""
Auto-instruments code to get nice spans
"""
from elasticapm.instrumentation.control import instrument
instrument()
try:
import celery # noqa F401
from elasticapm.contrib.celery import register_instrumentation
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train | setup_logging | Configures logging to pipe to Elastic APM.
- ``exclude`` is a list of loggers that shouldn't go to ElasticAPM.
For a typical Python install:
>>> from elasticapm.handlers.logging import LoggingHandler
>>> client = ElasticAPM(...)
>>> setup_logging(LoggingHandler(client))
Within Django:
>... | elasticapm/conf/__init__.py | def setup_logging(handler, exclude=("gunicorn", "south", "elasticapm.errors")):
"""
Configures logging to pipe to Elastic APM.
- ``exclude`` is a list of loggers that shouldn't go to ElasticAPM.
For a typical Python install:
>>> from elasticapm.handlers.logging import LoggingHandler
>>> clien... | def setup_logging(handler, exclude=("gunicorn", "south", "elasticapm.errors")):
"""
Configures logging to pipe to Elastic APM.
- ``exclude`` is a list of loggers that shouldn't go to ElasticAPM.
For a typical Python install:
>>> from elasticapm.handlers.logging import LoggingHandler
>>> clien... | [
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train | register_elasticapm | Given an ElasticAPM client and an RQ worker, registers exception handlers
with the worker so exceptions are logged to the apm server.
E.g.:
from elasticapm.contrib.django.models import client
from elasticapm.contrib.rq import register_elasticapm
worker = Worker(map(Queue, listen))
register_el... | elasticapm/contrib/rq/__init__.py | def register_elasticapm(client, worker):
"""Given an ElasticAPM client and an RQ worker, registers exception handlers
with the worker so exceptions are logged to the apm server.
E.g.:
from elasticapm.contrib.django.models import client
from elasticapm.contrib.rq import register_elasticapm
wor... | def register_elasticapm(client, worker):
"""Given an ElasticAPM client and an RQ worker, registers exception handlers
with the worker so exceptions are logged to the apm server.
E.g.:
from elasticapm.contrib.django.models import client
from elasticapm.contrib.rq import register_elasticapm
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train | ThreadLocalContext.get_transaction | Get the transaction registered for the current thread.
:return:
:rtype: Transaction | elasticapm/context/threadlocal.py | def get_transaction(self, clear=False):
"""
Get the transaction registered for the current thread.
:return:
:rtype: Transaction
"""
transaction = getattr(self.thread_local, "transaction", None)
if clear:
self.thread_local.transaction = None
re... | def get_transaction(self, clear=False):
"""
Get the transaction registered for the current thread.
:return:
:rtype: Transaction
"""
transaction = getattr(self.thread_local, "transaction", None)
if clear:
self.thread_local.transaction = None
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train | get_lines_from_file | Returns context_lines before and after lineno from file.
Returns (pre_context_lineno, pre_context, context_line, post_context). | elasticapm/utils/stacks.py | def get_lines_from_file(filename, lineno, context_lines, loader=None, module_name=None):
"""
Returns context_lines before and after lineno from file.
Returns (pre_context_lineno, pre_context, context_line, post_context).
"""
lineno = lineno - 1
lower_bound = max(0, lineno - context_lines)
up... | def get_lines_from_file(filename, lineno, context_lines, loader=None, module_name=None):
"""
Returns context_lines before and after lineno from file.
Returns (pre_context_lineno, pre_context, context_line, post_context).
"""
lineno = lineno - 1
lower_bound = max(0, lineno - context_lines)
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train | iter_traceback_frames | Given a traceback object, it will iterate over all
frames that do not contain the ``__traceback_hide__``
local variable. | elasticapm/utils/stacks.py | def iter_traceback_frames(tb):
"""
Given a traceback object, it will iterate over all
frames that do not contain the ``__traceback_hide__``
local variable.
"""
while tb:
# support for __traceback_hide__ which is used by a few libraries
# to hide internal frames.
frame = t... | def iter_traceback_frames(tb):
"""
Given a traceback object, it will iterate over all
frames that do not contain the ``__traceback_hide__``
local variable.
"""
while tb:
# support for __traceback_hide__ which is used by a few libraries
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train | iter_stack_frames | Given an optional list of frames (defaults to current stack),
iterates over all frames that do not contain the ``__traceback_hide__``
local variable.
Frames can be skipped by either providing a number, or a tuple
of module names. If the module of a frame matches one of the names
(using `.startswith... | elasticapm/utils/stacks.py | def iter_stack_frames(frames=None, start_frame=None, skip=0, skip_top_modules=()):
"""
Given an optional list of frames (defaults to current stack),
iterates over all frames that do not contain the ``__traceback_hide__``
local variable.
Frames can be skipped by either providing a number, or a tuple... | def iter_stack_frames(frames=None, start_frame=None, skip=0, skip_top_modules=()):
"""
Given an optional list of frames (defaults to current stack),
iterates over all frames that do not contain the ``__traceback_hide__``
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train | get_stack_info | Given a list of frames, returns a list of stack information
dictionary objects that are JSON-ready.
We have to be careful here as certain implementations of the
_Frame class do not contain the necessary data to lookup all
of the information we want.
:param frames: a list of (Frame, lineno) tuples
... | elasticapm/utils/stacks.py | def get_stack_info(
frames,
with_locals=True,
library_frame_context_lines=None,
in_app_frame_context_lines=None,
include_paths_re=None,
exclude_paths_re=None,
locals_processor_func=None,
):
"""
Given a list of frames, returns a list of stack information
dictionary objects that ar... | def get_stack_info(
frames,
with_locals=True,
library_frame_context_lines=None,
in_app_frame_context_lines=None,
include_paths_re=None,
exclude_paths_re=None,
locals_processor_func=None,
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"""
Given a list of frames, returns a list of stack information
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train | atexit_register | Uses either uwsgi's atexit mechanism, or atexit from the stdlib.
When running under uwsgi, using their atexit handler is more reliable,
especially when using gevent
:param func: the function to call at exit | elasticapm/utils/compat.py | def atexit_register(func):
"""
Uses either uwsgi's atexit mechanism, or atexit from the stdlib.
When running under uwsgi, using their atexit handler is more reliable,
especially when using gevent
:param func: the function to call at exit
"""
try:
import uwsgi
orig = getattr... | def atexit_register(func):
"""
Uses either uwsgi's atexit mechanism, or atexit from the stdlib.
When running under uwsgi, using their atexit handler is more reliable,
especially when using gevent
:param func: the function to call at exit
"""
try:
import uwsgi
orig = getattr... | [
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train | get_default_library_patters | Returns library paths depending on the used platform.
:return: a list of glob paths | elasticapm/utils/compat.py | def get_default_library_patters():
"""
Returns library paths depending on the used platform.
:return: a list of glob paths
"""
python_version = platform.python_version_tuple()
python_implementation = platform.python_implementation()
system = platform.system()
if python_implementation ==... | def get_default_library_patters():
"""
Returns library paths depending on the used platform.
:return: a list of glob paths
"""
python_version = platform.python_version_tuple()
python_implementation = platform.python_implementation()
system = platform.system()
if python_implementation ==... | [
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train | multidict_to_dict | Turns a werkzeug.MultiDict or django.MultiValueDict into a dict with
list values
:param d: a MultiDict or MultiValueDict instance
:return: a dict instance | elasticapm/utils/compat.py | def multidict_to_dict(d):
"""
Turns a werkzeug.MultiDict or django.MultiValueDict into a dict with
list values
:param d: a MultiDict or MultiValueDict instance
:return: a dict instance
"""
return dict((k, v[0] if len(v) == 1 else v) for k, v in iterlists(d)) | def multidict_to_dict(d):
"""
Turns a werkzeug.MultiDict or django.MultiValueDict into a dict with
list values
:param d: a MultiDict or MultiValueDict instance
:return: a dict instance
"""
return dict((k, v[0] if len(v) == 1 else v) for k, v in iterlists(d)) | [
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train | _is_ignorable_404 | Returns True if the given request *shouldn't* notify the site managers. | elasticapm/contrib/django/middleware/__init__.py | def _is_ignorable_404(uri):
"""
Returns True if the given request *shouldn't* notify the site managers.
"""
urls = getattr(django_settings, "IGNORABLE_404_URLS", ())
return any(pattern.search(uri) for pattern in urls) | def _is_ignorable_404(uri):
"""
Returns True if the given request *shouldn't* notify the site managers.
"""
urls = getattr(django_settings, "IGNORABLE_404_URLS", ())
return any(pattern.search(uri) for pattern in urls) | [
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train | get_cgroup_container_metadata | Reads docker/kubernetes metadata (container id, pod id) from /proc/self/cgroup
The result is a nested dictionary with the detected IDs, e.g.
{
"container": {"id": "2227daf62df6694645fee5df53c1f91271546a9560e8600a525690ae252b7f63"},
"pod": {"uid": "90d81341_92de_11e7_8cf2_507b9d4141... | elasticapm/utils/cgroup.py | def get_cgroup_container_metadata():
"""
Reads docker/kubernetes metadata (container id, pod id) from /proc/self/cgroup
The result is a nested dictionary with the detected IDs, e.g.
{
"container": {"id": "2227daf62df6694645fee5df53c1f91271546a9560e8600a525690ae252b7f63"},
"... | def get_cgroup_container_metadata():
"""
Reads docker/kubernetes metadata (container id, pod id) from /proc/self/cgroup
The result is a nested dictionary with the detected IDs, e.g.
{
"container": {"id": "2227daf62df6694645fee5df53c1f91271546a9560e8600a525690ae252b7f63"},
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train | parse_cgroups | Reads lines from a file handle and tries to parse docker container IDs and kubernetes Pod IDs.
See tests.utils.docker_tests.test_cgroup_parsing for a set of test cases
:param filehandle:
:return: nested dictionary or None | elasticapm/utils/cgroup.py | def parse_cgroups(filehandle):
"""
Reads lines from a file handle and tries to parse docker container IDs and kubernetes Pod IDs.
See tests.utils.docker_tests.test_cgroup_parsing for a set of test cases
:param filehandle:
:return: nested dictionary or None
"""
for line in filehandle:
... | def parse_cgroups(filehandle):
"""
Reads lines from a file handle and tries to parse docker container IDs and kubernetes Pod IDs.
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:param filehandle:
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train | for_events | :param events: list of event types
Only calls wrapped function if given event_type is in list of events | elasticapm/processors.py | def for_events(*events):
"""
:param events: list of event types
Only calls wrapped function if given event_type is in list of events
"""
events = set(events)
def wrap(func):
func.event_types = events
return func
return wrap | def for_events(*events):
"""
:param events: list of event types
Only calls wrapped function if given event_type is in list of events
"""
events = set(events)
def wrap(func):
func.event_types = events
return func
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train | remove_stacktrace_locals | Removes local variables from any frames.
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event | elasticapm/processors.py | def remove_stacktrace_locals(client, event):
"""
Removes local variables from any frames.
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
func = lambda frame: frame.pop("vars", None)
return _process_stack_frames(event, func) | def remove_stacktrace_locals(client, event):
"""
Removes local variables from any frames.
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
func = lambda frame: frame.pop("vars", None)
return _process_stack_frames(event, func) | [
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train | sanitize_stacktrace_locals | Sanitizes local variables in all frames
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event | elasticapm/processors.py | def sanitize_stacktrace_locals(client, event):
"""
Sanitizes local variables in all frames
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
def func(frame):
if "vars" in frame:
frame["vars"] = varmap(_sanitiz... | def sanitize_stacktrace_locals(client, event):
"""
Sanitizes local variables in all frames
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
def func(frame):
if "vars" in frame:
frame["vars"] = varmap(_sanitiz... | [
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train | sanitize_http_request_cookies | Sanitizes http request cookies
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event | elasticapm/processors.py | def sanitize_http_request_cookies(client, event):
"""
Sanitizes http request cookies
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
# sanitize request.cookies dict
try:
cookies = event["context"]["request"]["cookie... | def sanitize_http_request_cookies(client, event):
"""
Sanitizes http request cookies
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
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train | sanitize_http_response_cookies | Sanitizes the set-cookie header of the response
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event | elasticapm/processors.py | def sanitize_http_response_cookies(client, event):
"""
Sanitizes the set-cookie header of the response
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
try:
cookie_string = event["context"]["response"]["headers"]["set-cook... | def sanitize_http_response_cookies(client, event):
"""
Sanitizes the set-cookie header of the response
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
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train | sanitize_http_headers | Sanitizes http request/response headers
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event | elasticapm/processors.py | def sanitize_http_headers(client, event):
"""
Sanitizes http request/response headers
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
# request headers
try:
headers = event["context"]["request"]["headers"]
ev... | def sanitize_http_headers(client, event):
"""
Sanitizes http request/response headers
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
# request headers
try:
headers = event["context"]["request"]["headers"]
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train | sanitize_http_wsgi_env | Sanitizes WSGI environment variables
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event | elasticapm/processors.py | def sanitize_http_wsgi_env(client, event):
"""
Sanitizes WSGI environment variables
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
try:
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event["context"]["request"]["env"]... | def sanitize_http_wsgi_env(client, event):
"""
Sanitizes WSGI environment variables
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
try:
env = event["context"]["request"]["env"]
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train | sanitize_http_request_querystring | Sanitizes http request query string
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event | elasticapm/processors.py | def sanitize_http_request_querystring(client, event):
"""
Sanitizes http request query string
:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event
"""
try:
query_string = force_text(event["context"]["request"]["url"]["search"], e... | def sanitize_http_request_querystring(client, event):
"""
Sanitizes http request query string
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:param event: a transaction or error event
:return: The modified event
"""
try:
query_string = force_text(event["context"]["request"]["url"]["search"], e... | [
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:param client: an ElasticAPM client
:param event: a transaction or error event
:return: The modified event | elasticapm/processors.py | def sanitize_http_request_body(client, event):
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Sanitizes http request body. This only works if the request body
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:param client: an ElasticAPM client
:param event: a transaction or error event
:return: T... | def sanitize_http_request_body(client, event):
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Sanitizes http request body. This only works if the request body
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train | _sanitize_string | sanitizes a string that contains multiple key/value items
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:param kvsep: string that separates key from value
:return: a sanitized string | elasticapm/processors.py | def _sanitize_string(unsanitized, itemsep, kvsep):
"""
sanitizes a string that contains multiple key/value items
:param unsanitized: the unsanitized string
:param itemsep: string that separates items
:param kvsep: string that separates key from value
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sanitizes a string that contains multiple key/value items
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:param itemsep: string that separates items
:param kvsep: string that separates key from value
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train | Client.capture | Captures and processes an event and pipes it off to Client.send. | elasticapm/base.py | def capture(self, event_type, date=None, context=None, custom=None, stack=None, handled=True, **kwargs):
"""
Captures and processes an event and pipes it off to Client.send.
"""
if event_type == "Exception":
# never gather log stack for exceptions
stack = False
... | def capture(self, event_type, date=None, context=None, custom=None, stack=None, handled=True, **kwargs):
"""
Captures and processes an event and pipes it off to Client.send.
"""
if event_type == "Exception":
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train | Client.capture_message | Creates an event from ``message``.
>>> client.capture_message('My event just happened!') | elasticapm/base.py | def capture_message(self, message=None, param_message=None, **kwargs):
"""
Creates an event from ``message``.
>>> client.capture_message('My event just happened!')
"""
return self.capture("Message", message=message, param_message=param_message, **kwargs) | def capture_message(self, message=None, param_message=None, **kwargs):
"""
Creates an event from ``message``.
>>> client.capture_message('My event just happened!')
"""
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train | Client.capture_exception | Creates an event from an exception.
>>> try:
>>> exc_info = sys.exc_info()
>>> client.capture_exception(exc_info)
>>> finally:
>>> del exc_info
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"""
Creates an event from an exception.
>>> try:
>>> exc_info = sys.exc_info()
>>> client.capture_exception(exc_info)
>>> finally:
>>> del exc_info
If exc_info is not provide... | def capture_exception(self, exc_info=None, handled=True, **kwargs):
"""
Creates an event from an exception.
>>> try:
>>> exc_info = sys.exc_info()
>>> client.capture_exception(exc_info)
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train | Client.begin_transaction | Register the start of a transaction on the client | elasticapm/base.py | def begin_transaction(self, transaction_type, trace_parent=None):
"""Register the start of a transaction on the client
"""
return self.tracer.begin_transaction(transaction_type, trace_parent=trace_parent) | def begin_transaction(self, transaction_type, trace_parent=None):
"""Register the start of a transaction on the client
"""
return self.tracer.begin_transaction(transaction_type, trace_parent=trace_parent) | [
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train | Client._build_msg_for_logging | Captures, processes and serializes an event into a dict object | elasticapm/base.py | def _build_msg_for_logging(
self, event_type, date=None, context=None, custom=None, stack=None, handled=True, **kwargs
):
"""
Captures, processes and serializes an event into a dict object
"""
transaction = execution_context.get_transaction()
if transaction:
... | def _build_msg_for_logging(
self, event_type, date=None, context=None, custom=None, stack=None, handled=True, **kwargs
):
"""
Captures, processes and serializes an event into a dict object
"""
transaction = execution_context.get_transaction()
if transaction:
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train | Client._get_stack_info_for_trace | Overrideable in derived clients to add frames/info, e.g. templates | elasticapm/base.py | def _get_stack_info_for_trace(
self,
frames,
library_frame_context_lines=None,
in_app_frame_context_lines=None,
with_locals=True,
locals_processor_func=None,
):
"""Overrideable in derived clients to add frames/info, e.g. templates"""
return stacks.get_... | def _get_stack_info_for_trace(
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in_app_frame_context_lines=None,
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locals_processor_func=None,
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"""Overrideable in derived clients to add frames/info, e.g. templates"""
return stacks.get_... | [
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train | papermill | This utility executes a single notebook on a container.
Papermill takes a source notebook, applies parameters to the source
notebook, executes the notebook with the specified kernel, and saves the
output in the destination notebook. | papermill/cli.py | def papermill(
notebook_path,
output_path,
parameters,
parameters_raw,
parameters_file,
parameters_yaml,
parameters_base64,
inject_input_path,
inject_output_path,
inject_paths,
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notebook_path,
output_path,
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parameters_file,
parameters_yaml,
parameters_base64,
inject_input_path,
inject_output_path,
inject_paths,
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train | PapermillEngines.register_entry_points | Register entrypoints for an engine
Load handlers provided by other packages | papermill/engines.py | def register_entry_points(self):
"""Register entrypoints for an engine
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"""
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train | PapermillEngines.get_engine | Retrieves an engine by name. | papermill/engines.py | def get_engine(self, name=None):
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engine = self._engines.get(name)
if not engine:
raise PapermillException("No engine named '{}' found".format(name))
return engine | def get_engine(self, name=None):
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train | PapermillEngines.execute_notebook_with_engine | Fetch a named engine and execute the nb object against it. | papermill/engines.py | def execute_notebook_with_engine(self, engine_name, nb, kernel_name, **kwargs):
"""Fetch a named engine and execute the nb object against it."""
return self.get_engine(engine_name).execute_notebook(nb, kernel_name, **kwargs) | def execute_notebook_with_engine(self, engine_name, nb, kernel_name, **kwargs):
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If an output path is known, this triggers a save of the wrapped
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Can be used outside of cell state changes if execution is taking
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"""
Saves the wrapped notebook state.
If an output path is known, this triggers a save of the wrapped
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Saves the wrapped notebook state.
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When starting a notebook, this initializes and clears the metadata for
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output path.
Called by Engine when execution begins. | papermill/engines.py | def notebook_start(self, **kwargs):
"""
Initialize a notebook, clearing its metadata, and save it.
When starting a notebook, this initializes and clears the metadata for
the notebook and its cells, and saves the notebook to the given
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Initialize a notebook, clearing its metadata, and save it.
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Set and save a cell's start state.
Optionally called by engines during execution to initialize the
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failure. | papermill/engines.py | def cell_exception(self, cell, cell_index=None, **kwargs):
"""
Set metadata when an exception is raised.
Called by engines when an exception is raised within a notebook to
set the metadata on the notebook indicating the location of the
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Set metadata when an exception is raised.
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train | NotebookExecutionManager.cell_complete | Finalize metadata for a cell and save notebook.
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"""
Finalize metadata for a cell and save notebook.
Optionally called by engines during execution to finalize the
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Finalize metadata for a cell and save notebook.
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train | NotebookExecutionManager.notebook_complete | Finalize the metadata for a notebook and save the notebook to
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"""
Finalize the metadata for a notebook and save the notebook to
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"""
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Finalize the metadata for a notebook and save the notebook to
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train | NotebookExecutionManager.complete_pbar | Refresh progress bar | papermill/engines.py | def complete_pbar(self):
"""Refresh progress bar"""
if hasattr(self, 'pbar') and self.pbar:
self.pbar.n = len(self.nb.cells)
self.pbar.refresh() | def complete_pbar(self):
"""Refresh progress bar"""
if hasattr(self, 'pbar') and self.pbar:
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train | NotebookExecutionManager.cleanup_pbar | Clean up a progress bar | papermill/engines.py | def cleanup_pbar(self):
"""Clean up a progress bar"""
if hasattr(self, 'pbar') and self.pbar:
self.pbar.close()
self.pbar = None | def cleanup_pbar(self):
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Wraps the notebook object in a `NotebookExecutionManager` in order to track
execution state in a uniform manner. This is meant to help simplify
engine implementations. This allows a developer to just focus on
iterating and executing the cell... | papermill/engines.py | def execute_notebook(
cls, nb, kernel_name, output_path=None, progress_bar=True, log_output=False, **kwargs
):
"""
A wrapper to handle notebook execution tasks.
Wraps the notebook object in a `NotebookExecutionManager` in order to track
execution state in a uniform manner. T... | def execute_notebook(
cls, nb, kernel_name, output_path=None, progress_bar=True, log_output=False, **kwargs
):
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A wrapper to handle notebook execution tasks.
Wraps the notebook object in a `NotebookExecutionManager` in order to track
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nb (NotebookNode): Executable notebook object.
kernel_name (str): Name of kernel to execute the notebook against.
log_output (bool): Flag for whether or not to write notebook output to stderr.
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execution_timeout=None,
**kwargs
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Performs the actual execution of the parameterized notebook locally.
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Performs the actual execution of the parameterized notebook locally.
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train | AzureBlobStore._split_url | see: https://docs.microsoft.com/en-us/azure/storage/common/storage-dotnet-shared-access-signature-part-1 # noqa: E501
abs://myaccount.blob.core.windows.net/sascontainer/sasblob.txt?sastoken | papermill/abs.py | def _split_url(self, url):
"""
see: https://docs.microsoft.com/en-us/azure/storage/common/storage-dotnet-shared-access-signature-part-1 # noqa: E501
abs://myaccount.blob.core.windows.net/sascontainer/sasblob.txt?sastoken
"""
match = re.match(r"abs://(.*)\.blob\.core\.windows\.ne... | def _split_url(self, url):
"""
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train | AzureBlobStore.read | Read storage at a given url | papermill/abs.py | def read(self, url):
"""Read storage at a given url"""
params = self._split_url(url)
output_stream = io.BytesIO()
block_blob_service = self._block_blob_service(
account_name=params["account"], sas_token=params["sas_token"]
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block_blob_service.get_blob_to_str... | def read(self, url):
"""Read storage at a given url"""
params = self._split_url(url)
output_stream = io.BytesIO()
block_blob_service = self._block_blob_service(
account_name=params["account"], sas_token=params["sas_token"]
)
block_blob_service.get_blob_to_str... | [
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train | AzureBlobStore.listdir | Returns a list of the files under the specified path | papermill/abs.py | def listdir(self, url):
"""Returns a list of the files under the specified path"""
params = self._split_url(url)
block_blob_service = self._block_blob_service(
account_name=params["account"], sas_token=params["sas_token"]
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blobs = block_blob_service.list_blobs(param... | def listdir(self, url):
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train | AzureBlobStore.write | Write buffer to storage at a given url | papermill/abs.py | def write(self, buf, url):
"""Write buffer to storage at a given url"""
params = self._split_url(url)
block_blob_service = self._block_blob_service(
account_name=params["account"], sas_token=params["sas_token"]
)
block_blob_service.create_blob_from_text(
... | def write(self, buf, url):
"""Write buffer to storage at a given url"""
params = self._split_url(url)
block_blob_service = self._block_blob_service(
account_name=params["account"], sas_token=params["sas_token"]
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train | execute_notebook | Executes a single notebook locally.
Parameters
----------
input_path : str
Path to input notebook
output_path : str
Path to save executed notebook
parameters : dict, optional
Arbitrary keyword arguments to pass to the notebook parameters
engine_name : str, optional
... | papermill/execute.py | def execute_notebook(
input_path,
output_path,
parameters=None,
engine_name=None,
prepare_only=False,
kernel_name=None,
progress_bar=True,
log_output=False,
start_timeout=60,
report_mode=False,
cwd=None,
):
"""Executes a single notebook locally.
Parameters
------... | def execute_notebook(
input_path,
output_path,
parameters=None,
engine_name=None,
prepare_only=False,
kernel_name=None,
progress_bar=True,
log_output=False,
start_timeout=60,
report_mode=False,
cwd=None,
):
"""Executes a single notebook locally.
Parameters
------... | [
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train | prepare_notebook_metadata | Prepare metadata associated with a notebook and its cells
Parameters
----------
nb : NotebookNode
Executable notebook object
input_path : str
Path to input notebook
output_path : str
Path to write executed notebook
report_mode : bool, optional
Flag to set report mod... | papermill/execute.py | def prepare_notebook_metadata(nb, input_path, output_path, report_mode=False):
"""Prepare metadata associated with a notebook and its cells
Parameters
----------
nb : NotebookNode
Executable notebook object
input_path : str
Path to input notebook
output_path : str
Path to ... | def prepare_notebook_metadata(nb, input_path, output_path, report_mode=False):
"""Prepare metadata associated with a notebook and its cells
Parameters
----------
nb : NotebookNode
Executable notebook object
input_path : str
Path to input notebook
output_path : str
Path to ... | [
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train | raise_for_execution_errors | Assigned parameters into the appropriate place in the input notebook
Parameters
----------
nb : NotebookNode
Executable notebook object
output_path : str
Path to write executed notebook | papermill/execute.py | def raise_for_execution_errors(nb, output_path):
"""Assigned parameters into the appropriate place in the input notebook
Parameters
----------
nb : NotebookNode
Executable notebook object
output_path : str
Path to write executed notebook
"""
error = None
for cell in nb.cel... | def raise_for_execution_errors(nb, output_path):
"""Assigned parameters into the appropriate place in the input notebook
Parameters
----------
nb : NotebookNode
Executable notebook object
output_path : str
Path to write executed notebook
"""
error = None
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train | Bucket.list | Limits a list of Bucket's objects based on prefix and delimiter. | papermill/s3.py | def list(self, prefix='', delimiter=None):
"""Limits a list of Bucket's objects based on prefix and delimiter."""
return self.service._list(
bucket=self.name, prefix=prefix, delimiter=delimiter, objects=True
) | def list(self, prefix='', delimiter=None):
"""Limits a list of Bucket's objects based on prefix and delimiter."""
return self.service._list(
bucket=self.name, prefix=prefix, delimiter=delimiter, objects=True
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train | S3.cat | Returns an iterator for the data in the key or nothing if the key
doesn't exist. Decompresses data on the fly (if compressed is True
or key ends with .gz) unless raw is True. Pass None for encoding to
skip encoding. | papermill/s3.py | def cat(
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compressed=False,
encoding='UTF-8',
raw=False,
):
"""
Returns an iterator for the data in the key or nothing if the key
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train | S3.cp_string | Copies source string into the destination location.
Parameters
----------
source: string
the string with the content to copy
dest: string
the s3 location | papermill/s3.py | def cp_string(self, source, dest, **kwargs):
"""
Copies source string into the destination location.
Parameters
----------
source: string
the string with the content to copy
dest: string
the s3 location
"""
assert isinstance(sourc... | def cp_string(self, source, dest, **kwargs):
"""
Copies source string into the destination location.
Parameters
----------
source: string
the string with the content to copy
dest: string
the s3 location
"""
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train | S3.list | Returns a list of the files under the specified path
name must be in the form of `s3://bucket/prefix`
Parameters
----------
keys: optional
if True then this will return the actual boto keys for files
that are encountered
objects: optional
if True... | papermill/s3.py | def list(self, name, iterator=False, **kwargs):
"""
Returns a list of the files under the specified path
name must be in the form of `s3://bucket/prefix`
Parameters
----------
keys: optional
if True then this will return the actual boto keys for files
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"""
Returns a list of the files under the specified path
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Parameters
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keys: optional
if True then this will return the actual boto keys for files
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train | S3.listdir | Returns a list of the files under the specified path.
This is different from list as it will only give you files under the
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name must be in the form of `s3://bucket/prefix/`
Parameters
----------
keys: optional
if True then t... | papermill/s3.py | def listdir(self, name, **kwargs):
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Returns a list of the files under the specified path.
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name must be in the form of `s3://bucket/prefix/`
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train | S3.read | Iterates over a file in s3 split on newline.
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"""
Iterates over a file in s3 split on newline.
Yields a line in file.
"""
buf = ''
for block in self.cat(source, compressed=compressed, encoding=encoding):
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if '\n' in buf:... | def read(self, source, compressed=False, encoding='UTF-8'):
"""
Iterates over a file in s3 split on newline.
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"""
buf = ''
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train | Translator.translate_escaped_str | Reusable by most interpreters | papermill/translators.py | def translate_escaped_str(cls, str_val):
"""Reusable by most interpreters"""
if isinstance(str_val, string_types):
str_val = str_val.encode('unicode_escape')
if sys.version_info >= (3, 0):
str_val = str_val.decode('utf-8')
str_val = str_val.replace('"'... | def translate_escaped_str(cls, str_val):
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str_val = str_val.encode('unicode_escape')
if sys.version_info >= (3, 0):
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train | Translator.translate | Translate each of the standard json/yaml types to appropiate objects. | papermill/translators.py | def translate(cls, val):
"""Translate each of the standard json/yaml types to appropiate objects."""
if val is None:
return cls.translate_none(val)
elif isinstance(val, string_types):
return cls.translate_str(val)
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train | ScalaTranslator.translate_dict | Translate dicts to scala Maps | papermill/translators.py | def translate_dict(cls, val):
"""Translate dicts to scala Maps"""
escaped = ', '.join(
["{} -> {}".format(cls.translate_str(k), cls.translate(v)) for k, v in val.items()]
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return 'Map({})'.format(escaped) | def translate_dict(cls, val):
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train | ScalaTranslator.translate_list | Translate list to scala Seq | papermill/translators.py | def translate_list(cls, val):
"""Translate list to scala Seq"""
escaped = ', '.join([cls.translate(v) for v in val])
return 'Seq({})'.format(escaped) | def translate_list(cls, val):
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train | load_notebook_node | Returns a notebook object with papermill metadata loaded from the specified path.
Args:
notebook_path (str): Path to the notebook file.
Returns:
nbformat.NotebookNode | papermill/iorw.py | def load_notebook_node(notebook_path):
"""Returns a notebook object with papermill metadata loaded from the specified path.
Args:
notebook_path (str): Path to the notebook file.
Returns:
nbformat.NotebookNode
"""
nb = nbformat.reads(papermill_io.read(notebook_path), as_version=4)
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"""Returns a notebook object with papermill metadata loaded from the specified path.
Args:
notebook_path (str): Path to the notebook file.
Returns:
nbformat.NotebookNode
"""
nb = nbformat.reads(papermill_io.read(notebook_path), as_version=4)
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train | LocalHandler.cwd | Sets the cwd during reads and writes | papermill/iorw.py | def cwd(self, new_path):
'''Sets the cwd during reads and writes'''
old_cwd = self._cwd
self._cwd = new_path
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train | ADL.listdir | Returns a list of the files under the specified path | papermill/adl.py | def listdir(self, url):
"""Returns a list of the files under the specified path"""
(store_name, path) = self._split_url(url)
adapter = self._create_adapter(store_name)
return [
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train | ADL.read | Read storage at a given url | papermill/adl.py | def read(self, url):
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(store_name, path) = self._split_url(url)
adapter = self._create_adapter(store_name)
lines = []
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lines.append(line.decode())
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train | ADL.write | Write buffer to storage at a given url | papermill/adl.py | def write(self, buf, url):
"""Write buffer to storage at a given url"""
(store_name, path) = self._split_url(url)
adapter = self._create_adapter(store_name)
with adapter.open(path, 'wb') as f:
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(store_name, path) = self._split_url(url)
adapter = self._create_adapter(store_name)
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train | PapermillExecutePreprocessor.preprocess | Wraps the parent class process call slightly | papermill/preprocess.py | def preprocess(self, nb_man, resources, km=None):
"""
Wraps the parent class process call slightly
"""
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if self.log_output:
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"""
Wraps the parent class process call slightly
"""
with self.setup_preprocessor(nb_man.nb, resources, km=km):
if self.log_output:
self.log.info("Executing notebook with kernel: {}".format(self.kernel_name))
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train | PapermillExecutePreprocessor.papermill_process | This function acts as a replacement for the grandparent's `preprocess`
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1. Notebooks will stop executing when they encounter a failure but not
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"""
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1. Notebooks will stop executing when they encounter a failure but not
raise a `CellExcepti... | def papermill_process(self, nb_man, resources):
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1. Notebooks will stop executing when they encounter a failure but not
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train | add_builtin_parameters | Add built-in parameters to a dictionary of parameters
Parameters
----------
parameters : dict
Dictionary of parameters provided by the user | papermill/parameterize.py | def add_builtin_parameters(parameters):
"""Add built-in parameters to a dictionary of parameters
Parameters
----------
parameters : dict
Dictionary of parameters provided by the user
"""
with_builtin_parameters = {
"pm": {
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"""Add built-in parameters to a dictionary of parameters
Parameters
----------
parameters : dict
Dictionary of parameters provided by the user
"""
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train | parameterize_path | Format a path with a provided dictionary of parameters
Parameters
----------
path : string
Path with optional parameters, as a python format string
parameters : dict
Arbitrary keyword arguments to fill in the path | papermill/parameterize.py | def parameterize_path(path, parameters):
"""Format a path with a provided dictionary of parameters
Parameters
----------
path : string
Path with optional parameters, as a python format string
parameters : dict
Arbitrary keyword arguments to fill in the path
"""
if parameters i... | def parameterize_path(path, parameters):
"""Format a path with a provided dictionary of parameters
Parameters
----------
path : string
Path with optional parameters, as a python format string
parameters : dict
Arbitrary keyword arguments to fill in the path
"""
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train | parameterize_notebook | Assigned parameters into the appropriate place in the input notebook
Parameters
----------
nb : NotebookNode
Executable notebook object
parameters : dict
Arbitrary keyword arguments to pass as notebook parameters
report_mode : bool, optional
Flag to set report mode | papermill/parameterize.py | def parameterize_notebook(nb, parameters, report_mode=False):
"""Assigned parameters into the appropriate place in the input notebook
Parameters
----------
nb : NotebookNode
Executable notebook object
parameters : dict
Arbitrary keyword arguments to pass as notebook parameters
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Parameters
----------
nb : NotebookNode
Executable notebook object
parameters : dict
Arbitrary keyword arguments to pass as notebook parameters
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train | is_modifier | Returns True if `key` is a scan code or name of a modifier key. | keyboard/__init__.py | def is_modifier(key):
"""
Returns True if `key` is a scan code or name of a modifier key.
"""
if _is_str(key):
return key in all_modifiers
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Returns True if `key` is a scan code or name of a modifier key.
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train | key_to_scan_codes | Returns a list of scan codes associated with this key (name or scan code). | keyboard/__init__.py | def key_to_scan_codes(key, error_if_missing=True):
"""
Returns a list of scan codes associated with this key (name or scan code).
"""
if _is_number(key):
return (key,)
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Returns a list of scan codes associated with this key (name or scan code).
"""
if _is_number(key):
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train | parse_hotkey | Parses a user-provided hotkey into nested tuples representing the
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Also accepts raw scan codes, which are then wrapped in the required
number of nestings.
Example:
parse_hotkey("alt+shift+a, alt+b, c")
# Keys: ^~^... | keyboard/__init__.py | def parse_hotkey(hotkey):
"""
Parses a user-provided hotkey into nested tuples representing the
parsed structure, with the bottom values being lists of scan codes.
Also accepts raw scan codes, which are then wrapped in the required
number of nestings.
Example:
parse_hotkey("alt+shift+a... | def parse_hotkey(hotkey):
"""
Parses a user-provided hotkey into nested tuples representing the
parsed structure, with the bottom values being lists of scan codes.
Also accepts raw scan codes, which are then wrapped in the required
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train | send | Sends OS events that perform the given *hotkey* hotkey.
- `hotkey` can be either a scan code (e.g. 57 for space), single key
(e.g. 'space') or multi-key, multi-step hotkey (e.g. 'alt+F4, enter').
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"""
Sends OS events that perform the given *hotkey* hotkey.
- `hotkey` can be either a scan code (e.g. 57 for space), single key
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"""
Sends OS events that perform the given *hotkey* hotkey.
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train | is_pressed | Returns True if the key is pressed.
is_pressed(57) #-> True
is_pressed('space') #-> True
is_pressed('ctrl+space') #-> True | keyboard/__init__.py | def is_pressed(hotkey):
"""
Returns True if the key is pressed.
is_pressed(57) #-> True
is_pressed('space') #-> True
is_pressed('ctrl+space') #-> True
"""
_listener.start_if_necessary()
if _is_number(hotkey):
# Shortcut.
with _pressed_events_lock:
... | def is_pressed(hotkey):
"""
Returns True if the key is pressed.
is_pressed(57) #-> True
is_pressed('space') #-> True
is_pressed('ctrl+space') #-> True
"""
_listener.start_if_necessary()
if _is_number(hotkey):
# Shortcut.
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... | [
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train | call_later | Calls the provided function in a new thread after waiting some time.
Useful for giving the system some time to process an event, without blocking
the current execution flow. | keyboard/__init__.py | def call_later(fn, args=(), delay=0.001):
"""
Calls the provided function in a new thread after waiting some time.
Useful for giving the system some time to process an event, without blocking
the current execution flow.
"""
thread = _Thread(target=lambda: (_time.sleep(delay), fn(*args)))
thr... | def call_later(fn, args=(), delay=0.001):
"""
Calls the provided function in a new thread after waiting some time.
Useful for giving the system some time to process an event, without blocking
the current execution flow.
"""
thread = _Thread(target=lambda: (_time.sleep(delay), fn(*args)))
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train | hook | Installs a global listener on all available keyboards, invoking `callback`
each time a key is pressed or released.
The event passed to the callback is of type `keyboard.KeyboardEvent`,
with the following attributes:
- `name`: an Unicode representation of the character (e.g. "&") or
description... | keyboard/__init__.py | def hook(callback, suppress=False, on_remove=lambda: None):
"""
Installs a global listener on all available keyboards, invoking `callback`
each time a key is pressed or released.
The event passed to the callback is of type `keyboard.KeyboardEvent`,
with the following attributes:
- `name`: ... | def hook(callback, suppress=False, on_remove=lambda: None):
"""
Installs a global listener on all available keyboards, invoking `callback`
each time a key is pressed or released.
The event passed to the callback is of type `keyboard.KeyboardEvent`,
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train | on_press | Invokes `callback` for every KEY_DOWN event. For details see `hook`. | keyboard/__init__.py | def on_press(callback, suppress=False):
"""
Invokes `callback` for every KEY_DOWN event. For details see `hook`.
"""
return hook(lambda e: e.event_type == KEY_UP or callback(e), suppress=suppress) | def on_press(callback, suppress=False):
"""
Invokes `callback` for every KEY_DOWN event. For details see `hook`.
"""
return hook(lambda e: e.event_type == KEY_UP or callback(e), suppress=suppress) | [
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train | on_release | Invokes `callback` for every KEY_UP event. For details see `hook`. | keyboard/__init__.py | def on_release(callback, suppress=False):
"""
Invokes `callback` for every KEY_UP event. For details see `hook`.
"""
return hook(lambda e: e.event_type == KEY_DOWN or callback(e), suppress=suppress) | def on_release(callback, suppress=False):
"""
Invokes `callback` for every KEY_UP event. For details see `hook`.
"""
return hook(lambda e: e.event_type == KEY_DOWN or callback(e), suppress=suppress) | [
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train | hook_key | Hooks key up and key down events for a single key. Returns the event handler
created. To remove a hooked key use `unhook_key(key)` or
`unhook_key(handler)`.
Note: this function shares state with hotkeys, so `clear_all_hotkeys`
affects it aswell. | keyboard/__init__.py | def hook_key(key, callback, suppress=False):
"""
Hooks key up and key down events for a single key. Returns the event handler
created. To remove a hooked key use `unhook_key(key)` or
`unhook_key(handler)`.
Note: this function shares state with hotkeys, so `clear_all_hotkeys`
affects it aswell.
... | def hook_key(key, callback, suppress=False):
"""
Hooks key up and key down events for a single key. Returns the event handler
created. To remove a hooked key use `unhook_key(key)` or
`unhook_key(handler)`.
Note: this function shares state with hotkeys, so `clear_all_hotkeys`
affects it aswell.
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train | on_press_key | Invokes `callback` for KEY_DOWN event related to the given key. For details see `hook`. | keyboard/__init__.py | def on_press_key(key, callback, suppress=False):
"""
Invokes `callback` for KEY_DOWN event related to the given key. For details see `hook`.
"""
return hook_key(key, lambda e: e.event_type == KEY_UP or callback(e), suppress=suppress) | def on_press_key(key, callback, suppress=False):
"""
Invokes `callback` for KEY_DOWN event related to the given key. For details see `hook`.
"""
return hook_key(key, lambda e: e.event_type == KEY_UP or callback(e), suppress=suppress) | [
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train | on_release_key | Invokes `callback` for KEY_UP event related to the given key. For details see `hook`. | keyboard/__init__.py | def on_release_key(key, callback, suppress=False):
"""
Invokes `callback` for KEY_UP event related to the given key. For details see `hook`.
"""
return hook_key(key, lambda e: e.event_type == KEY_DOWN or callback(e), suppress=suppress) | def on_release_key(key, callback, suppress=False):
"""
Invokes `callback` for KEY_UP event related to the given key. For details see `hook`.
"""
return hook_key(key, lambda e: e.event_type == KEY_DOWN or callback(e), suppress=suppress) | [
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train | unhook_all | Removes all keyboard hooks in use, including hotkeys, abbreviations, word
listeners, `record`ers and `wait`s. | keyboard/__init__.py | def unhook_all():
"""
Removes all keyboard hooks in use, including hotkeys, abbreviations, word
listeners, `record`ers and `wait`s.
"""
_listener.start_if_necessary()
_listener.blocking_keys.clear()
_listener.nonblocking_keys.clear()
del _listener.blocking_hooks[:]
del _listener.hand... | def unhook_all():
"""
Removes all keyboard hooks in use, including hotkeys, abbreviations, word
listeners, `record`ers and `wait`s.
"""
_listener.start_if_necessary()
_listener.blocking_keys.clear()
_listener.nonblocking_keys.clear()
del _listener.blocking_hooks[:]
del _listener.hand... | [
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train | remap_key | Whenever the key `src` is pressed or released, regardless of modifiers,
press or release the hotkey `dst` instead. | keyboard/__init__.py | def remap_key(src, dst):
"""
Whenever the key `src` is pressed or released, regardless of modifiers,
press or release the hotkey `dst` instead.
"""
def handler(event):
if event.event_type == KEY_DOWN:
press(dst)
else:
release(dst)
return False
retu... | def remap_key(src, dst):
"""
Whenever the key `src` is pressed or released, regardless of modifiers,
press or release the hotkey `dst` instead.
"""
def handler(event):
if event.event_type == KEY_DOWN:
press(dst)
else:
release(dst)
return False
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train | parse_hotkey_combinations | Parses a user-provided hotkey. Differently from `parse_hotkey`,
instead of each step being a list of the different scan codes for each key,
each step is a list of all possible combinations of those scan codes. | keyboard/__init__.py | def parse_hotkey_combinations(hotkey):
"""
Parses a user-provided hotkey. Differently from `parse_hotkey`,
instead of each step being a list of the different scan codes for each key,
each step is a list of all possible combinations of those scan codes.
"""
def combine_step(step):
# A sin... | def parse_hotkey_combinations(hotkey):
"""
Parses a user-provided hotkey. Differently from `parse_hotkey`,
instead of each step being a list of the different scan codes for each key,
each step is a list of all possible combinations of those scan codes.
"""
def combine_step(step):
# A sin... | [
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"# event delays, we list all possi... | dbb73dfff484f733d5fed8dbc53301af5b6c7f50 |
train | _add_hotkey_step | Hooks a single-step hotkey (e.g. 'shift+a'). | keyboard/__init__.py | def _add_hotkey_step(handler, combinations, suppress):
"""
Hooks a single-step hotkey (e.g. 'shift+a').
"""
container = _listener.blocking_hotkeys if suppress else _listener.nonblocking_hotkeys
# Register the scan codes of every possible combination of
# modfiier + main key. Modifiers have to b... | def _add_hotkey_step(handler, combinations, suppress):
"""
Hooks a single-step hotkey (e.g. 'shift+a').
"""
container = _listener.blocking_hotkeys if suppress else _listener.nonblocking_hotkeys
# Register the scan codes of every possible combination of
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"# Register the scan codes of every possible combination of"... | dbb73dfff484f733d5fed8dbc53301af5b6c7f50 |
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