Marc Bonnici | c093d56 | 2017-08-07 14:29:40 +0100 | [diff] [blame^] | 1 | # Copyright 2013-2015 ARM Limited |
| 2 | # |
| 3 | # Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | # you may not use this file except in compliance with the License. |
| 5 | # You may obtain a copy of the License at |
| 6 | # |
| 7 | # http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | # |
| 9 | # Unless required by applicable law or agreed to in writing, software |
| 10 | # distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | # See the License for the specific language governing permissions and |
| 13 | # limitations under the License. |
| 14 | # |
| 15 | from __future__ import division |
| 16 | from collections import defaultdict |
| 17 | |
| 18 | from devlib import DerivedMeasurements |
| 19 | from devlib.instrument import Measurement, MEASUREMENT_TYPES, InstrumentChannel |
| 20 | |
| 21 | |
| 22 | class DerivedEnergyMeasurements(DerivedMeasurements): |
| 23 | |
| 24 | @staticmethod |
| 25 | def process(measurements_csv): |
| 26 | |
| 27 | should_calculate_energy = [] |
| 28 | use_timestamp = False |
| 29 | |
| 30 | # Determine sites to calculate energy for |
| 31 | channel_map = defaultdict(list) |
| 32 | for channel in measurements_csv.channels: |
| 33 | channel_map[channel].append(channel.kind) |
| 34 | for channel, kinds in channel_map.iteritems(): |
| 35 | if 'power' in kinds and not 'energy' in kinds: |
| 36 | should_calculate_energy.append(channel.site) |
| 37 | if channel.site == 'timestamp': |
| 38 | use_timestamp = True |
| 39 | time_measurment = channel.measurement_type |
| 40 | |
| 41 | if measurements_csv.sample_rate_hz is None and not use_timestamp: |
| 42 | msg = 'Timestamp data is unavailable, please provide a sample rate' |
| 43 | raise ValueError(msg) |
| 44 | |
| 45 | if use_timestamp: |
| 46 | # Find index of timestamp column |
| 47 | ts_index = [i for i, chan in enumerate(measurements_csv.channels) |
| 48 | if chan.site == 'timestamp'] |
| 49 | if len(ts_index) > 1: |
| 50 | raise ValueError('Multiple timestamps detected') |
| 51 | ts_index = ts_index[0] |
| 52 | |
| 53 | row_ts = 0 |
| 54 | last_ts = 0 |
| 55 | energy_results = defaultdict(dict) |
| 56 | power_results = defaultdict(float) |
| 57 | |
| 58 | # Process data |
| 59 | for count, row in enumerate(measurements_csv.itermeasurements()): |
| 60 | if use_timestamp: |
| 61 | last_ts = row_ts |
| 62 | row_ts = time_measurment.convert(float(row[ts_index].value), 'time') |
| 63 | for entry in row: |
| 64 | channel = entry.channel |
| 65 | site = channel.site |
| 66 | if channel.kind == 'energy': |
| 67 | if count == 0: |
| 68 | energy_results[site]['start'] = entry.value |
| 69 | else: |
| 70 | energy_results[site]['end'] = entry.value |
| 71 | |
| 72 | if channel.kind == 'power': |
| 73 | power_results[site] += entry.value |
| 74 | |
| 75 | if site in should_calculate_energy: |
| 76 | if count == 0: |
| 77 | energy_results[site]['start'] = 0 |
| 78 | energy_results[site]['end'] = 0 |
| 79 | elif use_timestamp: |
| 80 | energy_results[site]['end'] += entry.value * (row_ts - last_ts) |
| 81 | else: |
| 82 | energy_results[site]['end'] += entry.value * (1 / |
| 83 | measurements_csv.sample_rate_hz) |
| 84 | |
| 85 | # Calculate final measurements |
| 86 | derived_measurements = [] |
| 87 | for site in energy_results: |
| 88 | total_energy = energy_results[site]['end'] - energy_results[site]['start'] |
| 89 | instChannel = InstrumentChannel('cum_energy', site, MEASUREMENT_TYPES['energy']) |
| 90 | derived_measurements.append(Measurement(total_energy, instChannel)) |
| 91 | |
| 92 | for site in power_results: |
| 93 | power = power_results[site] / (count + 1) #pylint: disable=undefined-loop-variable |
| 94 | instChannel = InstrumentChannel('avg_power', site, MEASUREMENT_TYPES['power']) |
| 95 | derived_measurements.append(Measurement(power, instChannel)) |
| 96 | |
| 97 | return derived_measurements |