def __init__(self, dal, **kwargs):
self.dal = dal
self.logger = create_logger(
logger_name=type(self).__name__,
logger_level=kwargs.get("logger_level", "DEBUG")
)
def __init__(self, api_key: str, **kwargs):
"""Constructor and initialization.
Args:
api_key (str): The Google Places API key.
"""
# Internalize arguments.
self.api_key = api_key
self.logger = create_logger(logger_name=type(self).__name__,
logger_level=kwargs.get(
"logger_level", "DEBUG"))
from typing import Iterable, Optional, List
from ct_ingester.config import import_config
from ct_ingester.loggers import create_logger
import sqlalchemy.orm
from fform.dals_ct import DalClinicalTrials
from fform.orm_ct import Study
from fform.orm_ct import StudyFacility
from fform.orm_ct import StudyDates
from fform.orm_ct import Location
from ct_ingester.utils import chunk_generator
from ct_ingester.sentry import initialize_sentry
logger = create_logger(logger_name=__name__)
def find_recent_studies(
session: sqlalchemy.orm.Session,
num_days: Optional[int] = None,
chunk_size: Optional[int] = 1000,
skip_populated: Optional[bool] = False,
) -> Iterable[Iterable[Study]]:
""" Retrieves recently updated studies."""
query = session.query(Study) # type: sqlalchemy.orm.Query
query = query.join(Study.locations)
# Add filter to ignore studies without locations.
query = query.filter(Location.location_id != None)
def __init__(self, **kwargs):
""" Constructor and initialization."""
self.logger = create_logger(logger_name=type(self).__name__,
logger_level=kwargs.get(
"logger_level", "DEBUG"))