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"""Various utility functions used across the repo."""
import datetime
import logging
import os
import time
import traceback
import requests
import semantic_version as sv
from typing import Dict
from f8a_utils.versions import get_versions_for_ep
from f8a_worker.models import WorkerResult
from f8a_worker.setup_celery import init_celery
from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry
from requests_futures.sessions import FuturesSession
from selinon import run_flow
from sqlalchemy import create_engine
from sqlalchemy.dialects.postgresql import insert
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.orm import sessionmaker
logger = logging.getLogger(__name__)
class DatabaseException(Exception):
"""Exception related to RDBS operation failures."""
class GremlinExeception(Exception):
"""Exception related to Gremlin server failures."""
class RequestException(Exception):
"""Exception related to request http library failures."""
logger = logging.getLogger(__file__)
GREMLIN_SERVER_URL_REST = "http://{host}:{port}".format(
host=os.environ.get("BAYESIAN_GREMLIN_HTTP_SERVICE_HOST", "localhost"),
port=os.environ.get("BAYESIAN_GREMLIN_HTTP_SERVICE_PORT", "8182"))
LICENSE_SCORING_URL_REST = "http://{host}:{port}".format(
host=os.environ.get("LICENSE_SERVICE_HOST", "localhost"),
port=os.environ.get("LICENSE_SERVICE_PORT", "6162"))
zero_version = sv.Version("0.0.0")
# Create Postgres Connection Session
fmt = "%Y-%m-%dT%H:%M:%S.%f"
worker_count = int(os.getenv('FUTURES_SESSION_WORKER_COUNT', '100'))
_session = FuturesSession(max_workers=worker_count)
GREMLIN_QUERY_SIZE = int(os.environ.get("GREMLIN_QUERY_SIZE", 50))
METRICS_COLLECTION_URL = "http://{base_url}:{port}/api/v1/prometheus".format(
base_url=os.environ.get("METRICS_ENDPOINT_URL"),
port=os.environ.get("METRICS_ENDPOINT_URL_PORT"))
class Postgres:
"""Postgres connection session handler."""
def __init__(self):
"""Initialize the connection to Postgres database."""
self.connection = 'postgresql://{user}:{password}@{pgbouncer_host}:{pgbouncer_port}' \
'/{database}?sslmode=disable'. \
format(user=os.getenv('POSTGRESQL_USER'),
password=os.getenv('POSTGRESQL_PASSWORD'),
pgbouncer_host=os.getenv('PGBOUNCER_SERVICE_HOST', 'bayesian-pgbouncer'),
pgbouncer_port=os.getenv('PGBOUNCER_SERVICE_PORT', '5432'),
database=os.getenv('POSTGRESQL_DATABASE'))
engine = create_engine(self.connection)
self.Session = sessionmaker(bind=engine)
self.session = self.Session()
def session(self):
"""Return the established session."""
return self.session
session = Postgres().session
def format_date(date):
"""Format date to readable format."""
try:
if date != 'N/A':
date = datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S').strftime('%d %b %Y')
except ValueError:
logger.info("Incorrect value for date -> {}. Ignored".format(date))
return 'N/A'
return date
def get_osio_user_count(ecosystem, name, version):
"""Send query to the graph database to get # of uses for the provided E+P+V."""
str_gremlin = "g.V().has('pecosystem','{}').has('pname','{}').has('version','{}').".format(
ecosystem, name, version)
str_gremlin += "in('uses').count();"
payload = {
'gremlin': str_gremlin
}
json_response = post_http_request(url=GREMLIN_SERVER_URL_REST, payload=payload)
return json_response.get('result').get('data', ['-1'])[0]
def create_package_dict(graph_results, alt_dict=None):
"""Convert Graph Results into the Recommendation Dict."""
pkg_list = []
for epv in graph_results:
ecosystem = epv.get('version', {}).get('pecosystem', [''])[0]
name = epv.get('version', {}).get('pname', [''])[0]
version = epv.get('version', {}).get('version', [''])[0]
if ecosystem and name and version:
# TODO change this logic later to fetch osio_user_count
osio_user_count = get_osio_user_count(ecosystem, name, version)
pkg_dict = {
'ecosystem': ecosystem,
'name': name,
'version': version,
'licenses': epv['version'].get('declared_licenses', []),
'latest_version': select_latest_version(
version,
epv['package'].get('libio_latest_version', [''])[0],
epv['package'].get('latest_version', [''])[0]
),
'security': [],
'osio_user_count': osio_user_count,
'topic_list': epv['package'].get('pgm_topics', []),
'cooccurrence_probability': epv['package'].get('cooccurrence_probability', 0),
'cooccurrence_count': epv['package'].get('cooccurrence_count', 0)
}
# TODO: refactoring
github_dict = {
'dependent_projects': epv['package'].get('libio_dependents_projects', [-1])[0],
'dependent_repos': epv['package'].get('libio_dependents_repos', [-1])[0],
'used_by': [],
'total_releases': epv['package'].get('libio_total_releases', [-1])[0],
'latest_release_duration': str(datetime.datetime.fromtimestamp(
epv['package'].get('libio_latest_release', [1496302486.0])[0])),
'first_release_date': 'N/A',
'forks_count': epv['package'].get('gh_forks', [-1])[0],
'refreshed_on': format_date(epv['package'].get('gh_refreshed_on', ['N/A'])[0]),
'stargazers_count': epv['package'].get('gh_stargazers', [-1])[0],
'watchers': epv['package'].get('gh_subscribers_count', [-1])[0],
'contributors': -1,
'size': 'N/A',
'issues': {
'month': {
'closed': epv['package'].get('gh_issues_last_month_closed', [-1])[0],
'opened': epv['package'].get('gh_issues_last_month_opened', [-1])[0]
},
'year': {
'closed': epv['package'].get('gh_issues_last_year_closed', [-1])[0],
'opened': epv['package'].get('gh_issues_last_year_opened', [-1])[0]
}
},
'pull_requests': {
'month': {
'closed': epv['package'].get('gh_prs_last_month_closed', [-1])[0],
'opened': epv['package'].get('gh_prs_last_month_opened', [-1])[0]
},
'year': {
'closed': epv['package'].get('gh_prs_last_year_closed', [-1])[0],
'opened': epv['package'].get('gh_prs_last_year_opened', [-1])[0]
}
}
}
used_by = epv['package'].get("libio_usedby", [])
used_by_list = []
for epvs in used_by:
slc = epvs.split(':')
used_by_dict = {
'name': slc[0],
'stars': int(slc[1])
}
used_by_list.append(used_by_dict)
github_dict['used_by'] = used_by_list
pkg_dict['github'] = github_dict
pkg_dict['code_metrics'] = {
"average_cyclomatic_complexity":
epv['version'].get('cm_avg_cyclomatic_complexity', [-1])[0],
"code_lines": epv['version'].get('cm_loc', [-1])[0],
"total_files": epv['version'].get('cm_num_files', [-1])[0]
}
if alt_dict is not None and name in alt_dict:
pkg_dict['replaces'] = [{
'name': alt_dict[name]['replaces'],
'version': alt_dict[name]['version']
}]
pkg_list.append(pkg_dict)
return pkg_list
def convert_version_to_proper_semantic(version, package_name=None):
"""Perform Semantic versioning.
: type version: string
: param version: The raw input version that needs to be converted.
: type return: semantic_version.base.Version
: return: The semantic version of raw input version.
"""
conv_version = sv.Version.coerce('0.0.0')
try:
if version in ('', '-1', None):
version = '0.0.0'
"""Needed for maven version like 1.5.2.RELEASE to be converted to
1.5.2 - RELEASE for semantic version to work."""
version = version.replace('.', '-', 3)
version = version.replace('-', '.', 2)
# Needed to add this so that -RELEASE is account as a Version.build
version = version.replace('-', '+', 3)
conv_version = sv.Version.coerce(version)
except ValueError:
logger.info(
"Unexpected ValueError for the package {} due to version {}"
.format(package_name, version))
pass
finally:
return conv_version
def version_info_tuple(version):
"""Return the sem_version information in form of (major, minor, patch, build).
: type version: semantic_version.base.Version
: param version: The semantic version whole details are needed.
: return: A tuple in form of Version.(major, minor, patch, build)
"""
if isinstance(version, sv.Version):
return(version.major,
version.minor,
version.patch,
version.build)
return (0, 0, 0, tuple())
def select_latest_version(input_version='', libio='', anitya='', package_name=None):
"""Select latest version from input sequence(s)."""
libio_sem_version = convert_version_to_proper_semantic(libio, package_name)
anitya_sem_version = convert_version_to_proper_semantic(
anitya, package_name)
input_sem_version = convert_version_to_proper_semantic(
input_version, package_name)
return_version = ''
try:
if libio_sem_version == zero_version\
and anitya_sem_version == zero_version\
and input_sem_version == zero_version:
return_version = ''
else:
return_version = input_version
libio_tuple = version_info_tuple(libio_sem_version)
anitya_tuple = version_info_tuple(anitya_sem_version)
input_tuple = version_info_tuple(input_sem_version)
if libio_tuple >= anitya_tuple and libio_tuple >= input_tuple:
return_version = libio
elif anitya_tuple >= libio_tuple and anitya_tuple >= input_tuple:
return_version = anitya
except ValueError:
"""In case of failure let's not show any latest version at all.
Also, no generation of stack trace,
as we are only intersted in the package that is causing the error."""
logger.info(
"Unexpected ValueError while selecting latest version for package {}. Debug:{}"
.format(package_name,
{'input_version': input_version, 'libio': libio, 'anitya': anitya}))
return_version = ''
pass
finally:
return return_version
def get_session_retry(retries=3, backoff_factor=0.2, status_forcelist=(404, 500, 502, 504),
session=None):
"""Set HTTP Adapter with retries to session."""
session = session or requests.Session()
retry = Retry(total=retries, read=retries, connect=retries,
backoff_factor=backoff_factor, status_forcelist=status_forcelist)
adapter = HTTPAdapter(max_retries=retry)
session.mount('http://', adapter)
return session
def persist_data_in_db(external_request_id, task_result, worker, started_at=None, ended_at=None):
"""Persist the data in Postgres."""
try:
insert_stmt = insert(WorkerResult).values(
worker=worker, worker_id=None,
external_request_id=external_request_id, analysis_id=None, task_result=task_result,
error=False, started_at=started_at, ended_at=ended_at)
do_update_stmt = insert_stmt.on_conflict_do_update(
index_elements=['id'],
set_=dict(task_result=task_result))
session.execute(do_update_stmt)
session.commit()
except (SQLAlchemyError, Exception) as e:
logger.error("Error %r." % e)
session.rollback()
raise DatabaseException from e
def post_http_request(url: str, payload: Dict):
"""Post the given payload to url."""
try:
response = get_session_retry().post(url=url, json=payload)
response.raise_for_status()
return response.json()
except Exception as e:
logger.error(traceback.format_exc())
logger.error(
"HTTP error {code}. Error retrieving data from {url}.".format(
code=response.status_code, url=url))
raise RequestException from e
def post_gremlin(query: str, bindings: Dict = None) -> Dict:
"""Post the given query and bindings to gremlin endpoint."""
payload = {
'gremlin': query,
}
if bindings:
payload['bindings'] = bindings
try:
response = get_session_retry().post(url=GREMLIN_SERVER_URL_REST, json=payload)
response.raise_for_status()
except Exception as e:
logger.error(traceback.format_exc())
logger.error("HTTP error %d. Error retrieving data for %s.",
response.status_code, payload)
raise GremlinExeception from e
else:
return response.json()
def get_response_data(json_response, data_default):
"""Retrieve data from the JSON response.
Data default parameters takes what should data to be returned.
"""
return json_response.get("result", {}).get("data", data_default)
def server_run_flow(flow_name, flow_args):
"""Run a flow.
:param flow_name: name of flow to be run as stated in YAML config file
:param flow_args: arguments for the flow
:return: dispatcher ID handling flow
"""
logger.debug('Running flow {}'.format(flow_name))
start = datetime.datetime.now()
init_celery(result_backend=False)
dispacher_id = run_flow(flow_name, flow_args)
# compute the elapsed time
elapsed_seconds = (datetime.datetime.now() - start).total_seconds()
logger.info('It took %0.2f seconds to start %s flow.', elapsed_seconds, flow_name)
return dispacher_id
def server_create_analysis(ecosystem, package, version, api_flow=True,
force=False, force_graph_sync=False):
"""Create bayesianApiFlow handling analyses for specified EPV.
:param ecosystem: ecosystem for which the flow should be run
:param package: package for which should be flow run
:param version: package version
:param force: force run flow even specified EPV exists
:param force_graph_sync: force synchronization to graph
:return: dispatcher ID handling flow
"""
# Dont try ingestion for private packages
if get_versions_for_ep(ecosystem, package):
logger.info("Unknown flow for {} {}".format(ecosystem, package))
args = {
'ecosystem': ecosystem,
'name': package,
'version': version,
'force': force,
'force_graph_sync': force_graph_sync
}
if api_flow:
return server_run_flow('bayesianApiFlow', args)
else:
return server_run_flow('bayesianFlow', args)
else:
logger.info("Private package detected {} {}".format(ecosystem, package))
return None
def select_from_db(external_request_id, worker):
"""
Read the data from Postgres.
:param: external_request_id : stack_id
:param: worker: stack_aggregator / recommender
"""
try:
return session.query(WorkerResult)\
.filter(
WorkerResult.external_request_id == external_request_id,
WorkerResult.worker == worker).first()
except (SQLAlchemyError, Exception) as e:
logger.error("Error %r." % e)
session.rollback()
return {'recommendation': 'database error', 'external_request_id': external_request_id,
'message': '%s' % e, 'status': 501}
def get_time_delta(audit_data):
"""
Return Time Delta for Stack Aggregator and Recommender Engine.
:param audit_data: Audit Data
:return: Time Delta in Seconds
"""
if audit_data.get('ended_at') and audit_data.get('started_at'):
timedelta = (
datetime.datetime.strptime(audit_data['ended_at'], fmt) -
datetime.datetime.strptime(audit_data['started_at'], fmt)).total_seconds()
return timedelta
return None
def push_data(metrics_payload, url=METRICS_COLLECTION_URL):
"""
Pushes individual Payload data (SA or RE Data) to specified url.
:param audit_data: Audit Data
:return: Request Object
"""
_session.post(url=url, json=metrics_payload)
return None
def total_time_elapsed(sa_audit_data, external_request_id):
"""
Return Combined time delta, called in Stack Aggregator Only.
:param: sa_audit_data: Stack Aggregator Audit Data
:param: external_request_id: Stack Id
:return: Time Delta in Seconds
"""
sa_started_at = sa_audit_data.get('started_at')
sa_ended_at = sa_audit_data.get('ended_at')
if sa_started_at is None or sa_ended_at is None:
return None
re_db_data = retry(select_from_db,
external_request_id=external_request_id,
worker='recommendation_v2')
sa_started_at = datetime.datetime.strptime(sa_started_at, fmt)
sa_ended_at = datetime.datetime.strptime(sa_ended_at, fmt)
re_started_at = getattr(re_db_data, 'started_at', sa_started_at)
re_ended_at = getattr(re_db_data, 'ended_at', sa_ended_at)
analysis_started_at = min(sa_started_at, re_started_at)
analysis_ended_at = max(sa_ended_at, re_ended_at)
# Adding Time Constant, Time includes Resolving and Installation of Dependencies
return (analysis_ended_at - analysis_started_at).total_seconds() + 45
def retry(func, *args, retry_count=3, **kwargs):
"""Retry Repeatedly."""
for _ in range(retry_count):
result = func(*args, **kwargs)
if result:
return result
time.sleep(1)