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chaoss/grimoirelab-sortinghat | sortinghat/cmd/unify.py | Unify.__unify_unique_identities | def __unify_unique_identities(self, uidentities, matcher,
fast_matching, interactive):
"""Unify unique identities looking for similar identities."""
self.total = len(uidentities)
self.matched = 0
if self.recovery and self.recovery_file.exists():
... | python | def __unify_unique_identities(self, uidentities, matcher,
fast_matching, interactive):
"""Unify unique identities looking for similar identities."""
self.total = len(uidentities)
self.matched = 0
if self.recovery and self.recovery_file.exists():
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/unify.py | Unify.__merge | def __merge(self, matched, interactive):
"""Merge a lists of matched unique identities"""
for m in matched:
identities = m['identities']
uuid = identities[0]
try:
for c in identities[1:]:
if self.__merge_unique_identities(c, uuid,... | python | def __merge(self, matched, interactive):
"""Merge a lists of matched unique identities"""
for m in matched:
identities = m['identities']
uuid = identities[0]
try:
for c in identities[1:]:
if self.__merge_unique_identities(c, uuid,... | [
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/unify.py | Unify.__display_stats | def __display_stats(self):
"""Display some stats regarding unify process"""
self.display('unify.tmpl', processed=self.total,
matched=self.matched,
unified=self.total - self.matched) | python | def __display_stats(self):
"""Display some stats regarding unify process"""
self.display('unify.tmpl', processed=self.total,
matched=self.matched,
unified=self.total - self.matched) | [
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/unify.py | Unify.__marshal_matches | def __marshal_matches(matched):
"""Convert matches to JSON format.
:param matched: a list of matched identities
:returns json_matches: a list of matches in JSON format
"""
json_matches = []
for m in matched:
identities = [i.uuid for i in m]
if l... | python | def __marshal_matches(matched):
"""Convert matches to JSON format.
:param matched: a list of matched identities
:returns json_matches: a list of matches in JSON format
"""
json_matches = []
for m in matched:
identities = [i.uuid for i in m]
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/unify.py | RecoveryFile.load_matches | def load_matches(self):
"""Load matches of the previous failed execution from the recovery file.
:returns matches: a list of matches in JSON format
"""
if not self.exists():
return []
matches = []
with open(self.location(), 'r') as f:
for line in... | python | def load_matches(self):
"""Load matches of the previous failed execution from the recovery file.
:returns matches: a list of matches in JSON format
"""
if not self.exists():
return []
matches = []
with open(self.location(), 'r') as f:
for line in... | [
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/unify.py | RecoveryFile.save_matches | def save_matches(self, matches):
"""Save matches of a failed execution to the log.
:param matches: a list of matches in JSON format
"""
if not os.path.exists(os.path.dirname(self.location())):
os.makedirs(os.path.dirname(self.location()))
with open(self.location(), ... | python | def save_matches(self, matches):
"""Save matches of a failed execution to the log.
:param matches: a list of matches in JSON format
"""
if not os.path.exists(os.path.dirname(self.location())):
os.makedirs(os.path.dirname(self.location()))
with open(self.location(), ... | [
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/unify.py | RecoveryFile.__uuid | def __uuid(*args):
"""Generate a UUID based on the given parameters."""
s = '-'.join(args)
sha1 = hashlib.sha1(s.encode('utf-8', errors='surrogateescape'))
uuid_sha1 = sha1.hexdigest()
return uuid_sha1 | python | def __uuid(*args):
"""Generate a UUID based on the given parameters."""
s = '-'.join(args)
sha1 = hashlib.sha1(s.encode('utf-8', errors='surrogateescape'))
uuid_sha1 = sha1.hexdigest()
return uuid_sha1 | [
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/grimoirelab.py | GrimoireLabParser.__parse | def __parse(self, identities_stream, organizations_stream):
"""Parse GrimoireLab stream"""
if organizations_stream:
self.__parse_organizations(organizations_stream)
if identities_stream:
self.__parse_identities(identities_stream) | python | def __parse(self, identities_stream, organizations_stream):
"""Parse GrimoireLab stream"""
if organizations_stream:
self.__parse_organizations(organizations_stream)
if identities_stream:
self.__parse_identities(identities_stream) | [
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/grimoirelab.py | GrimoireLabParser.__parse_identities | def __parse_identities(self, stream):
"""Parse identities using GrimoireLab format.
The GrimoireLab identities format is a YAML document following a
schema similar to the example below. More information available
at https://github.com/bitergia/identities
- profile:
... | python | def __parse_identities(self, stream):
"""Parse identities using GrimoireLab format.
The GrimoireLab identities format is a YAML document following a
schema similar to the example below. More information available
at https://github.com/bitergia/identities
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/grimoirelab.py | GrimoireLabParser.__parse_organizations | def __parse_organizations(self, stream):
"""Parse GrimoireLab organizations.
The GrimoireLab organizations format is a YAML element stored
under the "organizations" key. The next example shows the
structure of the document:
- organizations:
Bitergia:
... | python | def __parse_organizations(self, stream):
"""Parse GrimoireLab organizations.
The GrimoireLab organizations format is a YAML element stored
under the "organizations" key. The next example shows the
structure of the document:
- organizations:
Bitergia:
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/grimoirelab.py | GrimoireLabParser.__parse_affiliations_yml | def __parse_affiliations_yml(self, affiliations):
"""Parse identity's affiliations from a yaml dict."""
enrollments = []
for aff in affiliations:
name = self.__encode(aff['organization'])
if not name:
error = "Empty organization name"
msg... | python | def __parse_affiliations_yml(self, affiliations):
"""Parse identity's affiliations from a yaml dict."""
enrollments = []
for aff in affiliations:
name = self.__encode(aff['organization'])
if not name:
error = "Empty organization name"
msg... | [
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/grimoirelab.py | GrimoireLabParser.__force_datetime | def __force_datetime(self, obj):
"""Converts ojb to time.datetime.datetime
YAML parsing returns either date or datetime object depending
on how the date is written. YYYY-MM-DD will return a date and
YYYY-MM-DDThh:mm:ss will return a datetime
:param obj: date or datetime object
... | python | def __force_datetime(self, obj):
"""Converts ojb to time.datetime.datetime
YAML parsing returns either date or datetime object depending
on how the date is written. YYYY-MM-DD will return a date and
YYYY-MM-DDThh:mm:ss will return a datetime
:param obj: date or datetime object
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/grimoirelab.py | GrimoireLabParser.__load_yml | def __load_yml(self, stream):
"""Load yml stream into a dict object """
try:
return yaml.load(stream, Loader=yaml.SafeLoader)
except ValueError as e:
cause = "invalid yml format. %s" % str(e)
raise InvalidFormatError(cause=cause) | python | def __load_yml(self, stream):
"""Load yml stream into a dict object """
try:
return yaml.load(stream, Loader=yaml.SafeLoader)
except ValueError as e:
cause = "invalid yml format. %s" % str(e)
raise InvalidFormatError(cause=cause) | [
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/grimoirelab.py | GrimoireLabParser.__validate_email | def __validate_email(self, email):
"""Checks if a string looks like an email address"""
e = re.match(self.EMAIL_ADDRESS_REGEX, email, re.UNICODE)
if e:
return email
else:
error = "Invalid email address: " + str(email)
msg = self.GRIMOIRELAB_INVALID_FO... | python | def __validate_email(self, email):
"""Checks if a string looks like an email address"""
e = re.match(self.EMAIL_ADDRESS_REGEX, email, re.UNICODE)
if e:
return email
else:
error = "Invalid email address: " + str(email)
msg = self.GRIMOIRELAB_INVALID_FO... | [
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/grimoirelab.py | GrimoireLabParser.__validate_enrollment_periods | def __validate_enrollment_periods(self, enrollments):
"""Check for overlapped periods in the enrollments"""
for a, b in itertools.combinations(enrollments, 2):
max_start = max(a.start, b.start)
min_end = min(a.end, b.end)
if max_start < min_end:
msg... | python | def __validate_enrollment_periods(self, enrollments):
"""Check for overlapped periods in the enrollments"""
for a, b in itertools.combinations(enrollments, 2):
max_start = max(a.start, b.start)
min_end = min(a.end, b.end)
if max_start < min_end:
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/sh.py | SortingHatParser.__parse | def __parse(self, stream):
"""Parse Sorting Hat stream"""
if not stream:
raise InvalidFormatError(cause="stream cannot be empty or None")
json = self.__load_json(stream)
self.__parse_organizations(json)
self.__parse_identities(json)
self.__parse_blacklist(j... | python | def __parse(self, stream):
"""Parse Sorting Hat stream"""
if not stream:
raise InvalidFormatError(cause="stream cannot be empty or None")
json = self.__load_json(stream)
self.__parse_organizations(json)
self.__parse_identities(json)
self.__parse_blacklist(j... | [
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/sh.py | SortingHatParser.__parse_blacklist | def __parse_blacklist(self, json):
"""Parse blacklist entries using Sorting Hat format.
The Sorting Hat blacklist format is a JSON stream that
stores a list of blacklisted entries.
Next, there is an example of a valid stream:
{
"blacklist": [
"John ... | python | def __parse_blacklist(self, json):
"""Parse blacklist entries using Sorting Hat format.
The Sorting Hat blacklist format is a JSON stream that
stores a list of blacklisted entries.
Next, there is an example of a valid stream:
{
"blacklist": [
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/sh.py | SortingHatParser.__parse_organizations | def __parse_organizations(self, json):
"""Parse organizations using Sorting Hat format.
The Sorting Hat organizations format is a JSON stream which
its keys are the name of the organizations. Each organization
object has a list of domains. For instance:
{
"organizat... | python | def __parse_organizations(self, json):
"""Parse organizations using Sorting Hat format.
The Sorting Hat organizations format is a JSON stream which
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.run | def run(self, *args):
"""Import data on the registry.
By default, it reads the data from the standard input. If a positional
argument is given, it will read the data from there.
"""
params = self.parser.parse_args(args)
with params.infile as infile:
try:
... | python | def run(self, *args):
"""Import data on the registry.
By default, it reads the data from the standard input. If a positional
argument is given, it will read the data from there.
"""
params = self.parser.parse_args(args)
with params.infile as infile:
try:
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.import_blacklist | def import_blacklist(self, parser):
"""Import blacklist.
New entries parsed by 'parser' will be added to the blacklist.
:param parser: sorting hat parser
"""
blacklist = parser.blacklist
self.log("Loading blacklist...")
n = 0
for entry in blacklist:
... | python | def import_blacklist(self, parser):
"""Import blacklist.
New entries parsed by 'parser' will be added to the blacklist.
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blacklist = parser.blacklist
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.import_organizations | def import_organizations(self, parser, overwrite=False):
"""Import organizations.
New domains and organizations parsed by 'parser' will be added
to the registry. Remember that a domain can only be assigned to
one organization. If one of the given domains is already on the registry,
... | python | def import_organizations(self, parser, overwrite=False):
"""Import organizations.
New domains and organizations parsed by 'parser' will be added
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one organization. If one of the given domains is already on the registry,
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.import_identities | def import_identities(self, parser, matching=None, match_new=False,
no_strict_matching=False,
reset=False, verbose=False):
"""Import identities information on the registry.
New unique identities, organizations and enrollment data parsed
by 'pa... | python | def import_identities(self, parser, matching=None, match_new=False,
no_strict_matching=False,
reset=False, verbose=False):
"""Import identities information on the registry.
New unique identities, organizations and enrollment data parsed
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.__load_unique_identities | def __load_unique_identities(self, uidentities, matcher, match_new,
reset, verbose):
"""Load unique identities"""
self.new_uids.clear()
n = 0
if reset:
self.__reset_unique_identities()
self.log("Loading unique identities...")
... | python | def __load_unique_identities(self, uidentities, matcher, match_new,
reset, verbose):
"""Load unique identities"""
self.new_uids.clear()
n = 0
if reset:
self.__reset_unique_identities()
self.log("Loading unique identities...")
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.__reset_unique_identities | def __reset_unique_identities(self):
"""Clear identities relationships and enrollments data"""
self.log("Reseting unique identities...")
self.log("Clearing identities relationships")
nids = 0
uidentities = api.unique_identities(self.db)
for uidentity in uidentities:
... | python | def __reset_unique_identities(self):
"""Clear identities relationships and enrollments data"""
self.log("Reseting unique identities...")
self.log("Clearing identities relationships")
nids = 0
uidentities = api.unique_identities(self.db)
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.__load_unique_identity | def __load_unique_identity(self, uidentity, verbose):
"""Seek or store unique identity"""
uuid = uidentity.uuid
if uuid:
try:
api.unique_identities(self.db, uuid)
self.log("-- %s already exists." % uuid, verbose)
return uuid
... | python | def __load_unique_identity(self, uidentity, verbose):
"""Seek or store unique identity"""
uuid = uidentity.uuid
if uuid:
try:
api.unique_identities(self.db, uuid)
self.log("-- %s already exists." % uuid, verbose)
return uuid
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.__load_profile | def __load_profile(self, profile, uuid, verbose):
"""Create a new profile when the unique identity does not have any."""
def is_empty_profile(prf):
return not (prf.name or prf.email or
prf.gender or prf.gender_acc or
prf.is_bot or prf.country_... | python | def __load_profile(self, profile, uuid, verbose):
"""Create a new profile when the unique identity does not have any."""
def is_empty_profile(prf):
return not (prf.name or prf.email or
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.__create_profile | def __create_profile(self, profile, uuid, verbose):
"""Create profile information from a profile object"""
# Set parameters to edit
kw = profile.to_dict()
kw['country_code'] = profile.country_code
# Remove unused keywords
kw.pop('uuid')
kw.pop('country')
... | python | def __create_profile(self, profile, uuid, verbose):
"""Create profile information from a profile object"""
# Set parameters to edit
kw = profile.to_dict()
kw['country_code'] = profile.country_code
# Remove unused keywords
kw.pop('uuid')
kw.pop('country')
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load.__create_profile_from_identities | def __create_profile_from_identities(self, identities, uuid, verbose):
"""Create a profile using the data from the identities"""
import re
EMAIL_ADDRESS_REGEX = r"^(?P<email>[^\s@]+@[^\s@.]+\.[^\s@]+)$"
NAME_REGEX = r"^\w+\s\w+"
name = None
email = None
usernam... | python | def __create_profile_from_identities(self, identities, uuid, verbose):
"""Create a profile using the data from the identities"""
import re
EMAIL_ADDRESS_REGEX = r"^(?P<email>[^\s@]+@[^\s@.]+\.[^\s@]+)$"
NAME_REGEX = r"^\w+\s\w+"
name = None
email = None
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load._merge_on_matching | def _merge_on_matching(self, uuid, matcher, verbose):
"""Merge unique identity with uuid when a match is found"""
matches = api.match_identities(self.db, uuid, matcher)
new_uuid = uuid
u = api.unique_identities(self.db, uuid)[0]
for m in matches:
if m.uuid == uuid... | python | def _merge_on_matching(self, uuid, matcher, verbose):
"""Merge unique identity with uuid when a match is found"""
matches = api.match_identities(self.db, uuid, matcher)
new_uuid = uuid
u = api.unique_identities(self.db, uuid)[0]
for m in matches:
if m.uuid == uuid... | [
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/load.py | Load._merge | def _merge(self, from_uid, to_uid, verbose):
"""Merge unique identity uid on match"""
if verbose:
self.display('match.tmpl', uid=from_uid, match=to_uid)
api.merge_unique_identities(self.db, from_uid.uuid, to_uid.uuid)
if verbose:
self.display('merge.tmpl', from... | python | def _merge(self, from_uid, to_uid, verbose):
"""Merge unique identity uid on match"""
if verbose:
self.display('match.tmpl', uid=from_uid, match=to_uid)
api.merge_unique_identities(self.db, from_uid.uuid, to_uid.uuid)
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse | def __parse(self, aliases, email_to_employer, domain_to_employer):
"""Parse Gitdm streams"""
self.__parse_organizations(domain_to_employer)
self.__parse_identities(aliases, email_to_employer) | python | def __parse(self, aliases, email_to_employer, domain_to_employer):
"""Parse Gitdm streams"""
self.__parse_organizations(domain_to_employer)
self.__parse_identities(aliases, email_to_employer) | [
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse_identities | def __parse_identities(self, aliases, email_to_employer):
"""Parse Gitdm identities"""
# Parse streams
self.__parse_aliases_stream(aliases)
self.__parse_email_to_employer_stream(email_to_employer)
# Create unique identities from aliases list
for alias, email in self.__r... | python | def __parse_identities(self, aliases, email_to_employer):
"""Parse Gitdm identities"""
# Parse streams
self.__parse_aliases_stream(aliases)
self.__parse_email_to_employer_stream(email_to_employer)
# Create unique identities from aliases list
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse_organizations | def __parse_organizations(self, domain_to_employer):
"""Parse Gitdm organizations"""
# Parse streams
self.__parse_domain_to_employer_stream(domain_to_employer)
for org in self.__raw_orgs:
o = Organization(name=org)
for dom in self.__raw_orgs[org]:
... | python | def __parse_organizations(self, domain_to_employer):
"""Parse Gitdm organizations"""
# Parse streams
self.__parse_domain_to_employer_stream(domain_to_employer)
for org in self.__raw_orgs:
o = Organization(name=org)
for dom in self.__raw_orgs[org]:
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse_aliases_stream | def __parse_aliases_stream(self, stream):
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The stream contains a list of usernames (they can be email addresses
their username aliases. Each line has a username and an alias separated
by tabs. Comment lines start with the hash character (#).
Example:
... | python | def __parse_aliases_stream(self, stream):
"""Parse aliases stream.
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse_email_to_employer_stream | def __parse_email_to_employer_stream(self, stream):
"""Parse email to employer stream.
The stream contains a list of email addresses and their employers.
Each line has an email address and a organization name separated by
tabs. Optionally, the date when the identity withdrew from the
... | python | def __parse_email_to_employer_stream(self, stream):
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse_domain_to_employer_stream | def __parse_domain_to_employer_stream(self, stream):
"""Parse domain to employer stream.
Each line of the stream has to contain a domain and a organization,
or employer, separated by tabs. Comment lines start with the hash
character (#)
Example:
# Domains from domains.... | python | def __parse_domain_to_employer_stream(self, stream):
"""Parse domain to employer stream.
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse_stream | def __parse_stream(self, stream, parse_line):
"""Generic method to parse gitdm streams"""
if not stream:
raise InvalidFormatError(cause='stream cannot be empty or None')
nline = 0
lines = stream.split('\n')
for line in lines:
nline += 1
# I... | python | def __parse_stream(self, stream, parse_line):
"""Generic method to parse gitdm streams"""
if not stream:
raise InvalidFormatError(cause='stream cannot be empty or None')
nline = 0
lines = stream.split('\n')
for line in lines:
nline += 1
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse_aliases_line | def __parse_aliases_line(self, raw_alias, raw_username):
"""Parse aliases lines"""
alias = self.__encode(raw_alias)
username = self.__encode(raw_username)
return alias, username | python | def __parse_aliases_line(self, raw_alias, raw_username):
"""Parse aliases lines"""
alias = self.__encode(raw_alias)
username = self.__encode(raw_username)
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse_email_to_employer_line | def __parse_email_to_employer_line(self, raw_email, raw_enrollment):
"""Parse email to employer lines"""
e = re.match(self.EMAIL_ADDRESS_REGEX, raw_email, re.UNICODE)
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raise InvalidFormat... | python | def __parse_email_to_employer_line(self, raw_email, raw_enrollment):
"""Parse email to employer lines"""
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chaoss/grimoirelab-sortinghat | sortinghat/parsing/gitdm.py | GitdmParser.__parse_domain_to_employer_line | def __parse_domain_to_employer_line(self, raw_domain, raw_org):
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if not d:
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/log.py | Log.log | def log(self, uuid=None, organization=None, from_date=None, to_date=None):
""""List enrollment information available in the registry.
Method that returns a list of enrollments. If <uuid> parameter is set,
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/init.py | Init.run | def run(self, *args):
"""Initialize a registry.
Create and initialize an empty registry which its name is defined by
<name> parameter. Required tables will be also created.
"""
params = self.parser.parse_args(args)
code = self.initialize(name=params.name, reuse=params.r... | python | def run(self, *args):
"""Initialize a registry.
Create and initialize an empty registry which its name is defined by
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params = self.parser.parse_args(args)
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/init.py | Init.initialize | def initialize(self, name, reuse=False):
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/init.py | Init.__load_countries | def __load_countries(self, db):
"""Load the list of countries"""
try:
countries = self.__read_countries_file()
except IOError as e:
raise LoadError(str(e))
try:
with db.connect() as session:
for country in countries:
... | python | def __load_countries(self, db):
"""Load the list of countries"""
try:
countries = self.__read_countries_file()
except IOError as e:
raise LoadError(str(e))
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/init.py | Init.__read_countries_file | def __read_countries_file(self):
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filename = pkg_resources.resource_filename('sortinghat', 'data/countries.csv')
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/remove.py | Remove.run | def run(self, *args):
"""Remove unique identities or identities from the registry.
By default, it removes the unique identity identified by <identifier>.
To remove an identity, set <identity> parameter.
"""
params = self.parser.parse_args(args)
identifier = params.ident... | python | def run(self, *args):
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chaoss/grimoirelab-sortinghat | sortinghat/utils.py | merge_date_ranges | def merge_date_ranges(dates):
"""Merge date ranges.
Generator that merges ovelaped data ranges.
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Generator that merges ovelaped data ranges.
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chaoss/grimoirelab-sortinghat | sortinghat/utils.py | uuid | def uuid(source, email=None, name=None, username=None):
"""Get the UUID related to the identity data.
Based on the input data, the function will return the UUID associated
to an identity. On this version, the UUID will be the SHA1 of
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"""Get the UUID related to the identity data.
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chaoss/grimoirelab-sortinghat | sortinghat/db/database.py | create_database_engine | def create_database_engine(user, password, database, host, port):
"""Create a database engine"""
driver = 'mysql+pymysql'
url = URL(driver, user, password, host, port, database,
query={'charset': 'utf8mb4'})
return create_engine(url, poolclass=QueuePool,
pool_size... | python | def create_database_engine(user, password, database, host, port):
"""Create a database engine"""
driver = 'mysql+pymysql'
url = URL(driver, user, password, host, port, database,
query={'charset': 'utf8mb4'})
return create_engine(url, poolclass=QueuePool,
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chaoss/grimoirelab-sortinghat | sortinghat/db/database.py | create_database_session | def create_database_session(engine):
"""Connect to the database"""
try:
Session = sessionmaker(bind=engine)
return Session()
except OperationalError as e:
raise DatabaseError(error=e.orig.args[1], code=e.orig.args[0]) | python | def create_database_session(engine):
"""Connect to the database"""
try:
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chaoss/grimoirelab-sortinghat | sortinghat/db/database.py | close_database_session | def close_database_session(session):
"""Close connection with the database"""
try:
session.close()
except OperationalError as e:
raise DatabaseError(error=e.orig.args[1], code=e.orig.args[0]) | python | def close_database_session(session):
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chaoss/grimoirelab-sortinghat | sortinghat/db/database.py | reflect_table | def reflect_table(engine, klass):
"""Inspect and reflect objects"""
try:
meta = MetaData()
meta.reflect(bind=engine)
except OperationalError as e:
raise DatabaseError(error=e.orig.args[1], code=e.orig.args[0])
# Try to reflect from any of the supported tables
table = None
... | python | def reflect_table(engine, klass):
"""Inspect and reflect objects"""
try:
meta = MetaData()
meta.reflect(bind=engine)
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chaoss/grimoirelab-sortinghat | sortinghat/db/database.py | find_model_by_table_name | def find_model_by_table_name(name):
"""Find a model reference by its table name"""
for model in ModelBase._decl_class_registry.values():
if hasattr(model, '__table__') and model.__table__.fullname == name:
return model
return None | python | def find_model_by_table_name(name):
"""Find a model reference by its table name"""
for model in ModelBase._decl_class_registry.values():
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chaoss/grimoirelab-sortinghat | sortinghat/db/database.py | Database.handle_database_error | def handle_database_error(cls, session, exception):
"""Rollback changes made and handle any type of error raised by the DBMS."""
session.rollback()
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cls.handle_integrity_error(exception)
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"""Rollback changes made and handle any type of error raised by the DBMS."""
session.rollback()
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cls.handle_integrity_error(exception)
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chaoss/grimoirelab-sortinghat | sortinghat/db/database.py | Database.handle_integrity_error | def handle_integrity_error(cls, exception):
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chaoss/grimoirelab-sortinghat | sortinghat/db/database.py | Database.handle_flush_error | def handle_flush_error(cls, exception):
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/affiliate.py | Affiliate.run | def run(self, *args):
"""Affiliate unique identities to organizations."""
self.parser.parse_args(args)
code = self.affiliate()
return code | python | def run(self, *args):
"""Affiliate unique identities to organizations."""
self.parser.parse_args(args)
code = self.affiliate()
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/affiliate.py | Affiliate.affiliate | def affiliate(self):
"""Affiliate unique identities.
This method enrolls unique identities to organizations using email
addresses and top/sub domains data. Only new enrollments will be created.
"""
try:
uidentities = api.unique_identities(self.db)
for ui... | python | def affiliate(self):
"""Affiliate unique identities.
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"""
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chaoss/grimoirelab-sortinghat | sortinghat/cmd/countries.py | Countries.run | def run(self, *args):
"""Show information about countries."""
params = self.parser.parse_args(args)
ct = params.code_or_term
if ct and len(ct) < 2:
self.error('Code country or term must have 2 or more characters length')
return CODE_INVALID_FORMAT_ERROR
... | python | def run(self, *args):
"""Show information about countries."""
params = self.parser.parse_args(args)
ct = params.code_or_term
if ct and len(ct) < 2:
self.error('Code country or term must have 2 or more characters length')
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rigetti/rpcq | rpcq/_client.py | Client._call_async | async def _call_async(self, method_name: str, *args, **kwargs):
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rigetti/rpcq | rpcq/_client.py | Client._recv_reply | async def _recv_reply(self):
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"""
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reply = from_msgpack(raw_reply)
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self._replies[repl... | python | async def _recv_reply(self):
"""
Helper task to recieve a reply store the result and trigger the associated event.
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rigetti/rpcq | rpcq/_client.py | Client.call | def call(self, method_name: str, *args, rpc_timeout: float = None, **kwargs):
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rigetti/rpcq | rpcq/_client.py | Client.close | def close(self):
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Close the sockets
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rigetti/rpcq | rpcq/_client.py | Client._connect_to_socket | def _connect_to_socket(self, context: zmq.Context, endpoint: str):
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rigetti/rpcq | rpcq/_client.py | Client._async_socket | def _async_socket(self):
"""
Creates a new async socket if one doesn't already exist for this Client
"""
if not self._async_socket_cache:
self._async_socket_cache = self._connect_to_socket(zmq.asyncio.Context(), self.endpoint)
return self._async_socket_cache | python | def _async_socket(self):
"""
Creates a new async socket if one doesn't already exist for this Client
"""
if not self._async_socket_cache:
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rigetti/rpcq | rpcq/_server.py | Server.run | def run(self, endpoint: str, loop: AbstractEventLoop = None):
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:param loop: Event loop to run server in (alternatively just use run_async method)
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rigetti/rpcq | rpcq/_server.py | Server._shutdown | def _shutdown(self):
"""
Shut down the server.
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"""
Shut down the server.
"""
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Connect the server to an endpoint. Creates a ZMQ ROUTER socket for the given endpoint.
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Executes the method specified in a JSON RPC request and then sends the reply to the socket.
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Executes the method specified in a JSON RPC request and then sends the reply to the socket.
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rigetti/rpcq | rpcq/_spec.py | RPCSpec.add_handler | def add_handler(self, f):
"""
Adds the function f to a dictionary of JSON RPC methods.
:param callable f: Method to be exposed
:return:
"""
if f.__name__.startswith('rpc_'):
raise ValueError("Server method names cannot start with rpc_.")
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"""
Adds the function f to a dictionary of JSON RPC methods.
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rigetti/rpcq | rpcq/_spec.py | RPCSpec.get_handler | def get_handler(self, request):
"""
Get callable from JSON RPC request
:param RPCRequest request: JSON RPC request
:return: Method
:rtype: callable
"""
try:
f = self._json_rpc_methods[request.method]
except (AttributeError, KeyError): # prag... | python | def get_handler(self, request):
"""
Get callable from JSON RPC request
:param RPCRequest request: JSON RPC request
:return: Method
:rtype: callable
"""
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rigetti/rpcq | rpcq/_spec.py | RPCSpec.run_handler | async def run_handler(self, request: RPCRequest) -> Union[RPCReply, RPCError]:
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Process a JSON RPC request
:param RPCRequest request: JSON RPC request
:return: JSON RPC reply
"""
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try:
rpc_handle... | python | async def run_handler(self, request: RPCRequest) -> Union[RPCReply, RPCError]:
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:return: JSON RPC reply
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rigetti/rpcq | rpcq/_utils.py | rpc_request | def rpc_request(method_name: str, *args, **kwargs) -> rpcq.messages.RPCRequest:
"""
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:param args: Positional arguments
:param kwargs: Keyword arguments
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"""
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rigetti/rpcq | rpcq/_utils.py | rpc_reply | def rpc_reply(id: Union[str, int], result: Optional[object],
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"""
Create RPC reply
:param str|int id: Request ID
:param result: Result
:param warnings: List of warnings to attach to the message
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Create RPC reply
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rigetti/rpcq | rpcq/_utils.py | rpc_error | def rpc_error(id: Union[str, int], error_msg: str,
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:param id: Request ID
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rigetti/rpcq | rpcq/_utils.py | get_input | def get_input(params: Union[dict, list]) -> Tuple[list, dict]:
"""
Get positional or keyword arguments from JSON RPC params
:param params: Parameters passed through JSON RPC
:return: args, kwargs
"""
# Backwards compatibility for old clients that send params as a list
if isinstance(params, ... | python | def get_input(params: Union[dict, list]) -> Tuple[list, dict]:
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rigetti/rpcq | rpcq/_base.py | repr_value | def repr_value(value):
"""
Represent a value in human readable form. For long list's this truncates the printed
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:param value: The value to represent.
:return: A string representation.
:rtype: basestring
"""
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Represent a value in human readable form. For long list's this truncates the printed
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klen/graphite-beacon | graphite_beacon/alerts.py | AlertFabric.get | def get(cls, reactor, source='graphite', **options):
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klen/graphite-beacon | graphite_beacon/alerts.py | BaseAlert.evaluate_rule | def evaluate_rule(self, rule, value, target):
"""Calculate the value."""
def evaluate(expr):
if expr in LOGICAL_OPERATORS.values():
return expr
rvalue = self.get_value_for_expr(expr, target)
if rvalue is None:
return False # ignore thi... | python | def evaluate_rule(self, rule, value, target):
"""Calculate the value."""
def evaluate(expr):
if expr in LOGICAL_OPERATORS.values():
return expr
rvalue = self.get_value_for_expr(expr, target)
if rvalue is None:
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klen/graphite-beacon | graphite_beacon/alerts.py | BaseAlert.get_value_for_expr | def get_value_for_expr(self, expr, target):
"""I have no idea."""
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return None
rvalue = expr['value']
if rvalue == HISTORICAL:
history = self.history[target]
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klen/graphite-beacon | graphite_beacon/alerts.py | BaseAlert.notify | def notify(self, level, value, target=None, ntype=None, rule=None):
"""Notify main reactor about event."""
# Did we see the event before?
if target in self.state and level == self.state[target]:
return False
# Do we see the event first time?
if target not in self.sta... | python | def notify(self, level, value, target=None, ntype=None, rule=None):
"""Notify main reactor about event."""
# Did we see the event before?
if target in self.state and level == self.state[target]:
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klen/graphite-beacon | graphite_beacon/alerts.py | GraphiteAlert.load | def load(self):
"""Load data from Graphite."""
LOGGER.debug('%s: start checking: %s', self.name, self.query)
if self.waiting:
self.notify('warning', 'Process takes too much time', target='waiting', ntype='common')
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self.waiting = True
try:
... | python | def load(self):
"""Load data from Graphite."""
LOGGER.debug('%s: start checking: %s', self.name, self.query)
if self.waiting:
self.notify('warning', 'Process takes too much time', target='waiting', ntype='common')
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klen/graphite-beacon | graphite_beacon/alerts.py | GraphiteAlert.get_graph_url | def get_graph_url(self, target, graphite_url=None):
"""Get Graphite URL."""
return self._graphite_url(target, graphite_url=graphite_url, raw_data=False) | python | def get_graph_url(self, target, graphite_url=None):
"""Get Graphite URL."""
return self._graphite_url(target, graphite_url=graphite_url, raw_data=False) | [
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klen/graphite-beacon | graphite_beacon/alerts.py | GraphiteAlert._graphite_url | def _graphite_url(self, query, raw_data=False, graphite_url=None):
"""Build Graphite URL."""
query = escape.url_escape(query)
graphite_url = graphite_url or self.reactor.options.get('public_graphite_url')
url = "{base}/render/?target={query}&from=-{from_time}&until=-{until}".format(
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"""Build Graphite URL."""
query = escape.url_escape(query)
graphite_url = graphite_url or self.reactor.options.get('public_graphite_url')
url = "{base}/render/?target={query}&from=-{from_time}&until=-{until}".format(
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klen/graphite-beacon | graphite_beacon/alerts.py | URLAlert.load | def load(self):
"""Load URL."""
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self.notify('warning', 'Process takes too much time', target='waiting', ntype='common')
else:
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try:
respon... | python | def load(self):
"""Load URL."""
LOGGER.debug('%s: start checking: %s', self.name, self.query)
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klen/graphite-beacon | graphite_beacon/core.py | _get_loader | def _get_loader(config):
"""Determine which config file type and loader to use based on a filename.
:param config str: filename to config file
:return: a tuple of the loader type and callable to load
:rtype: (str, Callable)
"""
if config.endswith('.yml') or config.endswith('.yaml'):
if ... | python | def _get_loader(config):
"""Determine which config file type and loader to use based on a filename.
:param config str: filename to config file
:return: a tuple of the loader type and callable to load
:rtype: (str, Callable)
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klen/graphite-beacon | graphite_beacon/core.py | Reactor.start | def start(self, start_loop=True):
"""Start all the things.
:param start_loop bool: whether to start the ioloop. should be False if
the IOLoop is managed externally
"""
self.start_alerts()
if self.options.get('pidfile'):
with open(self.... | python | def start(self, start_loop=True):
"""Start all the things.
:param start_loop bool: whether to start the ioloop. should be False if
the IOLoop is managed externally
"""
self.start_alerts()
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klen/graphite-beacon | graphite_beacon/core.py | Reactor.notify | def notify(self, level, alert, value, target=None, ntype=None, rule=None):
""" Provide the event to the handlers. """
LOGGER.info('Notify %s:%s:%s:%s', level, alert, value, target or "")
if ntype is None:
ntype = alert.source
for handler in self.handlers.get(level, []):
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""" Provide the event to the handlers. """
LOGGER.info('Notify %s:%s:%s:%s', level, alert, value, target or "")
if ntype is None:
ntype = alert.source
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klen/graphite-beacon | graphite_beacon/handlers/telegram.py | write_to_file | def write_to_file(chats, chatfile):
"""called every time chats are modified"""
with open(chatfile, 'w') as handler:
handler.write('\n'.join((str(id_) for id_ in chats))) | python | def write_to_file(chats, chatfile):
"""called every time chats are modified"""
with open(chatfile, 'w') as handler:
handler.write('\n'.join((str(id_) for id_ in chats))) | [
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klen/graphite-beacon | graphite_beacon/handlers/telegram.py | get_chatlist | def get_chatlist(chatfile):
"""Try reading ids of saved chats from file.
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return set()
try:
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return set(int(chat) for chat in file_contents)
except (OSError, IOError) as exc:
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"""Try reading ids of saved chats from file.
If we fail, return empty set"""
if not chatfile:
return set()
try:
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return set(int(chat) for chat in file_contents)
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klen/graphite-beacon | graphite_beacon/handlers/telegram.py | get_data | def get_data(upd, bot_ident):
"""Parse telegram update."""
update_content = json.loads(upd.decode())
result = update_content['result']
data = (get_fields(update, bot_ident) for update in result)
return (dt for dt in data if dt is not None) | python | def get_data(upd, bot_ident):
"""Parse telegram update."""
update_content = json.loads(upd.decode())
result = update_content['result']
data = (get_fields(update, bot_ident) for update in result)
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klen/graphite-beacon | graphite_beacon/handlers/telegram.py | get_fields | def get_fields(upd, bot_ident):
"""In telegram api, not every update has message field,
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We skip those cases. Rest of fields are mandatory.
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msg = upd.get('message', {})
text = msg.get('text')
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msg = upd.get('message', {})
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klen/graphite-beacon | graphite_beacon/handlers/telegram.py | TelegramHandler._listen_commands | def _listen_commands(self):
"""Monitor new updates and send them further to
self._respond_commands, where bot actions
are decided.
"""
self._last_update = None
update_body = {'timeout': 2}
while True:
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# increase... | python | def _listen_commands(self):
"""Monitor new updates and send them further to
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self._last_update = None
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klen/graphite-beacon | graphite_beacon/handlers/telegram.py | TelegramHandler._respond_commands | def _respond_commands(self, update_response):
"""Extract commands to bot from update and
act accordingly. For description of commands,
see HELP_MESSAGE variable on top of this module.
"""
chatfile = self.chatfile
chats = self.chats
exc, upd = update_response.exc... | python | def _respond_commands(self, update_response):
"""Extract commands to bot from update and
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"""
chatfile = self.chatfile
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act accordingly. For description of commands,
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klen/graphite-beacon | graphite_beacon/handlers/telegram.py | TelegramHandler.notify | def notify(self, level, *args, **kwargs):
"""Sends alerts to telegram chats.
This method is called from top level module.
Do not rename it.
"""
LOGGER.debug('Handler (%s) %s', self.name, level)
notify_text = self.get_message(level, *args, **kwargs)
for chat in s... | python | def notify(self, level, *args, **kwargs):
"""Sends alerts to telegram chats.
This method is called from top level module.
Do not rename it.
"""
LOGGER.debug('Handler (%s) %s', self.name, level)
notify_text = self.get_message(level, *args, **kwargs)
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klen/graphite-beacon | graphite_beacon/handlers/telegram.py | TelegramHandler.get_message | def get_message(self, level, alert, value, **kwargs):
"""Standart alert message. Same format across all
graphite-beacon handlers.
"""
target, ntype = kwargs.get('target'), kwargs.get('ntype')
msg_type = 'telegram' if ntype == 'graphite' else 'short'
tmpl = TEMPLATES[ntyp... | python | def get_message(self, level, alert, value, **kwargs):
"""Standart alert message. Same format across all
graphite-beacon handlers.
"""
target, ntype = kwargs.get('target'), kwargs.get('ntype')
msg_type = 'telegram' if ntype == 'graphite' else 'short'
tmpl = TEMPLATES[ntyp... | [
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klen/graphite-beacon | graphite_beacon/handlers/telegram.py | CustomClient.fetchmaker | def fetchmaker(self, telegram_api_method):
"""Receives api method as string and returns
wrapper around AsyncHTTPClient's fetch method
"""
fetch = self.client.fetch
request = self.url(telegram_api_method)
def _fetcher(body, method='POST', headers=None):
"""Us... | python | def fetchmaker(self, telegram_api_method):
"""Receives api method as string and returns
wrapper around AsyncHTTPClient's fetch method
"""
fetch = self.client.fetch
request = self.url(telegram_api_method)
def _fetcher(body, method='POST', headers=None):
"""Us... | [
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klen/graphite-beacon | graphite_beacon/units.py | TimeUnit._normalize_value_ms | def _normalize_value_ms(cls, value):
"""Normalize a value in ms to the largest unit possible without decimal places.
Note that this ignores fractions of a second and always returns a value _at least_
in seconds.
:return: the normalized value and unit name
:rtype: Tuple[Union[in... | python | def _normalize_value_ms(cls, value):
"""Normalize a value in ms to the largest unit possible without decimal places.
Note that this ignores fractions of a second and always returns a value _at least_
in seconds.
:return: the normalized value and unit name
:rtype: Tuple[Union[in... | [
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