Source code for wlauto.result_processors.sqlite

#    Copyright 2013-2015 ARM Limited
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.

# pylint: disable=attribute-defined-outside-init

import os
import sqlite3
import json
import uuid
from datetime import datetime, timedelta
from contextlib import contextmanager

from wlauto import ResultProcessor, settings, Parameter
from wlauto.exceptions import ResultProcessorError
from wlauto.utils.types import boolean

# IMPORTANT: when updating this schema, make sure to bump the version!
    '''CREATE TABLE  runs (
        uuid text,
        start_time datetime,
        end_time datetime,
        duration integer
    '''CREATE TABLE  workload_specs (
        id text,
        run_oid text,
        number_of_iterations integer,
        label text,
        workload_name text,
        boot_parameters text,
        runtime_parameters text,
        workload_parameters text
    '''CREATE TABLE  metrics (
        spec_oid int,
        iteration integer,
        metric text,
        value text,
        units text,
        lower_is_better integer
    '''CREATE VIEW results AS
       SELECT uuid as run_uuid, spec_id, label as workload, iteration, metric, value, units, lower_is_better
       FROM metrics AS m INNER JOIN (
            SELECT ws.OID as spec_oid, as spec_id, uuid, label
            FROM workload_specs AS ws INNER JOIN runs AS r ON ws.run_oid = r.OID
       ) AS wsr ON wsr.spec_oid = m.spec_oid
    '''CREATE TABLE  __meta (
        schema_version text
    '''INSERT INTO __meta VALUES ("{}")'''.format(SCHEMA_VERSION),

sqlite3.register_adapter(datetime, lambda x: x.isoformat())
sqlite3.register_adapter(timedelta, lambda x: x.total_seconds())
sqlite3.register_adapter(uuid.UUID, str)

[docs]class SqliteResultProcessor(ResultProcessor): name = 'sqlite' description = """ Stores results in an sqlite database. This may be used accumulate results of multiple runs in a single file. """ name = 'sqlite' parameters = [ Parameter('database', default=None, global_alias='sqlite_database', description=""" Full path to the sqlite database to be used. If this is not specified then a new database file will be created in the output directory. This setting can be used to accumulate results from multiple runs in a single database. If the specified file does not exist, it will be created, however the directory of the file must exist. .. note:: The value must resolve to an absolute path, relative paths are not allowed; however the value may contain environment variables and/or the home reference ~. """), Parameter('overwrite', kind=boolean, default=False, global_alias='sqlite_overwrite', description="""If ``True``, this will overwrite the database file if it already exists. If ``False`` (the default) data will be added to the existing file (provided schema versions match -- otherwise an error will be raised). """), ] def initialize(self, context): self._last_spec = None self._run_oid = None self._spec_oid = None if not os.path.exists(self.database): self._initdb() elif self.overwrite: # pylint: disable=no-member os.remove(self.database) self._initdb() else: self._validate_schema_version() self._update_run(context.run_info.uuid)
[docs] def process_iteration_result(self, result, context): if self._last_spec != context.spec: self._update_spec(context.spec) metrics = [(self._spec_oid, context.current_iteration,, str(m.value), m.units, int(m.lower_is_better)) for m in result.metrics] with self._open_connecton() as conn: conn.executemany('INSERT INTO metrics VALUES (?,?,?,?,?,?)', metrics)
[docs] def process_run_result(self, result, context): info = context.run_info with self._open_connecton() as conn: conn.execute('''UPDATE runs SET start_time=?, end_time=?, duration=? WHERE OID=?''', (info.start_time, info.end_time, info.duration, self._run_oid))
def validate(self): if not self.database: # pylint: disable=access-member-before-definition self.database = os.path.join(settings.output_directory, 'results.sqlite') self.database = os.path.expandvars(os.path.expanduser(self.database)) def _initdb(self): with self._open_connecton() as conn: for command in SCHEMA: conn.execute(command) def _validate_schema_version(self): with self._open_connecton() as conn: try: c = conn.execute('SELECT schema_version FROM __meta') found_version = c.fetchone()[0] except sqlite3.OperationalError: message = '{} does not appear to be a valid WA results database.'.format(self.database) raise ResultProcessorError(message) if found_version != SCHEMA_VERSION: message = 'Schema version in {} ({}) does not match current version ({}).' raise ResultProcessorError(message.format(self.database, found_version, SCHEMA_VERSION)) def _update_run(self, run_uuid): with self._open_connecton() as conn: conn.execute('INSERT INTO runs (uuid) VALUES (?)', (run_uuid,)) conn.commit() c = conn.execute('SELECT OID FROM runs WHERE uuid=?', (run_uuid,)) self._run_oid = c.fetchone()[0] def _update_spec(self, spec): self._last_spec = spec spec_tuple = (, self._run_oid, spec.number_of_iterations, spec.label, spec.workload_name, json.dumps(spec.boot_parameters), json.dumps(spec.runtime_parameters), json.dumps(spec.workload_parameters)) with self._open_connecton() as conn: conn.execute('INSERT INTO workload_specs VALUES (?,?,?,?,?,?,?,?)', spec_tuple) conn.commit() c = conn.execute('SELECT OID FROM workload_specs WHERE run_oid=? AND id=?', (self._run_oid, self._spec_oid = c.fetchone()[0] @contextmanager def _open_connecton(self): conn = sqlite3.connect(self.database) try: yield conn finally: conn.commit()