def apply(self, analysis):
# Do nothing if project is not loaded
if self._project not in analysis.loaded_projects:
return
# Create database connector
connector = blox.connect.Connector(analysis.database_directory)
# Create empty directory
outdir = analysis.results_directory
os.makedirs(outdir)
# Compute query block name
blockname = '{}-queries'.format(self._project.name)
_logger.info("Executing named block %s", blockname)
# Execute relevant block
with cd(outdir):
connector.execute_block(blockname)
def apply(self, analysis):
dbdir = analysis.database_directory
factdir = analysis.facts_directory
_logger.info("Loading data from %s ...", factdir)
# Unpack required projects
with unpacked_project('schema') as schema_project:
with unpacked_project('import') as import_project:
# Temporarily switch directory so that facts can be loaded
with cd(analysis.output_directory):
# Execute script while ignoring output
blox.LoadSchemaScript(
workspace=dbdir,
script_path=files.mktemp(suffix='.lb'),
schema_path=schema_project,
import_path=import_project).run()
_logger.info("Stored database in %s", dbdir)
def apply(self, analysis):
# Do nothing if project is not loaded
if self._project not in analysis.loaded_projects:
return
# Create database connector
connector = blox.connect.Connector(analysis.database_directory)
# Create empty directory
outdir = analysis.results_directory
os.makedirs(outdir)
# Compute query block name
blockname = '{}-queries'.format(self._project.name)
_logger.info("Executing named block %s", blockname)
# Execute relevant block
with cd(outdir):
connector.execute_block(blockname)
def apply(self, analysis):
dbdir = analysis.database_directory
factdir = analysis.facts_directory
_logger.info("Loading data from %s ...", factdir)
# Unpack required projects
with unpacked_project('schema') as schema_project:
with unpacked_project('import') as import_project:
# Temporarily switch directory so that facts can be loaded
with cd(analysis.output_directory):
# Execute script while ignoring output
blox.LoadSchemaScript(
workspace=dbdir,
script_path=files.mktemp(suffix='.lb'),
schema_path=schema_project,
import_path=import_project
).run()
_logger.info("Stored database in %s", dbdir)
def apply(self, analysis):
# Dynamically import JSON collector
from .collect.json_collector import JSONCollector
# Load JSON export logic module
analysis.load_project('json-export')
# Create database connector
connector = blox.connect.Connector(analysis.database_directory)
# Create empty directory
tmpdir = runtime.FileManager().mkdtemp()
_logger.info("Exporting CSV files to prepare JSON export")
# Execute relevant block
with cd(tmpdir):
connector.execute_block('json-export')
_logger.info("CSV files exported")
_logger.info("Running collector")
collector = JSONCollector(analysis)
collector.run(tmpdir)
def apply(self, analysis):
# Dynamically import JSON collector
from .collect.json_collector import JSONCollector
# Load JSON export logic module
analysis.load_project('json-export')
# Create database connector
connector = blox.connect.Connector(analysis.database_directory)
# Create empty directory
tmpdir = runtime.FileManager().mkdtemp()
_logger.info("Exporting CSV files to prepare JSON export")
# Execute relevant block
with cd(tmpdir):
connector.execute_block('json-export')
_logger.info("CSV files exported")
_logger.info("Running collector")
collector = JSONCollector(analysis)
collector.run(tmpdir)
