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import argparse |
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import json |
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import csv |
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import pandas |
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import numpy as np |
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import random |
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import re |
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from dataclasses import dataclass |
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from datasets import load_dataset, concatenate_datasets |
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from difflib import SequenceMatcher |
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from typing import Final, Any, Callable, Optional |
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from tqdm import tqdm |
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import webcolors |
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|
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STATE_ON: Final = "on" |
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STATE_OFF: Final = "off" |
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STATE_ACTIVE: Final = "active" |
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STATE_UNKNOWN: Final = "unknown" |
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STATE_OPEN: Final = "open" |
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STATE_OPENING: Final = "opening" |
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STATE_CLOSED: Final = "closed" |
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STATE_CLOSING: Final = "closing" |
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STATE_BUFFERING: Final = "buffering" |
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STATE_PLAYING: Final = "playing" |
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STATE_PAUSED: Final = "paused" |
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STATE_IDLE: Final = "idle" |
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STATE_STANDBY: Final = "standby" |
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STATE_LOCKED: Final = "locked" |
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STATE_UNLOCKED: Final = "unlocked" |
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STATE_LOCKING: Final = "locking" |
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STATE_UNLOCKING: Final = "unlocking" |
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STATE_JAMMED: Final = "jammed" |
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STATE_UNAVAILABLE: Final = "unavailable" |
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STATE_OK: Final = "ok" |
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STATE_PROBLEM: Final = "problem" |
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STATE_CLEANING: Final = "cleaning" |
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STATE_DOCKED: Final = "docked" |
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STATE_RETURNING: Final = "returning" |
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|
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def closest_color(requested_color): |
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min_colors = {} |
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for key, name in webcolors.CSS3_HEX_TO_NAMES.items(): |
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r_c, g_c, b_c = webcolors.hex_to_rgb(key) |
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rd = (r_c - requested_color[0]) ** 2 |
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gd = (g_c - requested_color[1]) ** 2 |
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bd = (b_c - requested_color[2]) ** 2 |
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min_colors[(rd + gd + bd)] = name |
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return min_colors[min(min_colors.keys())] |
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@dataclass |
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class DeviceType: |
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name: str |
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possible_states: list[(str, float)] |
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services: dict[str, list] |
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random_parameter_generator: Optional[dict[str, Callable]] = None |
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|
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def get_all_services(self, extra_exposed_attributes): |
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result = [] |
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for service in self.services.keys(): |
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args = set(extra_exposed_attributes).intersection(self.services[service]) |
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result.append(f"{self.name}.{service}({','.join(args)})") |
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return result |
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def get_random_parameter(self, param_name): |
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return self.random_parameter_generator[param_name]() |
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def get_random_state(self, extra_exposed_attributes=[]): |
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states = [ x[0] for x in self.possible_states ] |
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weights = [ x[1] for x in self.possible_states ] |
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return random.choices(states, weights=weights, k=1)[0] |
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class LightDeviceType(DeviceType): |
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def __init__(self): |
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super().__init__("light", |
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possible_states=[ |
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(STATE_ON, 0.5), |
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(STATE_OFF, 0.5) |
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], |
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services={ |
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"turn_on": [ "rgb_color", "brightness" ], |
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"turn_off": [], |
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"toggle": [] |
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}, |
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random_parameter_generator={ |
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"rgb_color": lambda: (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)), |
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"brightness": lambda: random.randint(0, 100), |
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} |
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) |
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def get_random_state(self, extra_exposed_attributes=[]): |
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state = super().get_random_state(extra_exposed_attributes=extra_exposed_attributes) |
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if random.random() < 0.5 and "rgb_color" in extra_exposed_attributes: |
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random_rgb = self.get_random_parameter("rgb_color") |
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state = state + ";" + closest_color(random_rgb) + " " + str(random_rgb) |
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if random.random() < 0.7 and "brightness" in extra_exposed_attributes: |
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state = state + ";" + str(self.get_random_parameter("brightness")) + "%" |
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return state |
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class ClimateDeviceType(DeviceType): |
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def __init__(self): |
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super().__init__("climate", [], { |
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"turn_on": [], |
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"turn_off": [], |
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"toggle": [], |
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"set_temperature": ["temperature"], |
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"set_humidity": ["humidity"], |
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"set_fan_mode": ["fan_mode"], |
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"set_hvac_mode": ["hvac_mode"], |
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"set_preset_mode": ["preset_mode"] |
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}, |
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random_parameter_generator={ |
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"fan_mode": lambda: random.choice(["On Low", "On High", "Auto Low", "Auto High", "Off"]), |
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"temp_f": lambda: random.randint(60, 80), |
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"temp_c": lambda: random.randint(15, 25), |
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"humidity": lambda: random.randint(10, 90), |
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"preset_mode": lambda: random.choice(["home", "eco", "away", "auto"]), |
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"hvac_mode": lambda: random.choice(["heat", "cool", "heat_cool", "off", "auto", "fan_only"]), |
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}) |
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def get_random_state(self, extra_exposed_attributes=[]): |
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"""state;fan_mode;temperature;humidity""" |
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state = self.get_random_parameter("hvac_mode") |
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|
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if "fan_mode" in extra_exposed_attributes: |
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state = state + ";" + self.get_random_parameter("fan_mode") |
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if "temperature" in extra_exposed_attributes: |
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if random.random() > 0.5: |
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state = state + ";" + str(self.get_random_parameter("temp_f")) + "F" |
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else: |
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state = state + ";" + str(self.get_random_parameter("temp_c")) + "C" |
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if "humidity" in extra_exposed_attributes: |
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state = state + ";" + str(self.get_random_parameter("humidity")) + "%" |
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if random.random() < 0.8 and "preset_mode" in extra_exposed_attributes: |
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state = state + ";" + self.get_random_parameter("preset_mode") |
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return state |
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with open("piles/pile_of_durations.csv") as f: |
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reader = csv.DictReader(f) |
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pile_of_durations = { x["duration"]: x["english_name"] for x in reader } |
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with open("piles/pile_of_media_names.txt") as f: |
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pile_of_media_names = [ x.strip() for x in f.readlines() ] |
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with open("piles/pile_of_todo_items.txt") as f: |
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pile_of_todo_items = [ x.strip() for x in f.readlines() ] |
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class MediaPlayerDeviceType(DeviceType): |
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def __init__(self): |
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super().__init__("media_player", [ |
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(STATE_ON, 0.15), |
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(STATE_OFF, 0.54), |
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(STATE_IDLE, 0.1), |
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(STATE_PLAYING, 0.1), |
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(STATE_PAUSED, 0.05), |
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(STATE_STANDBY, 0.05), |
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(STATE_BUFFERING, 0.01), |
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], { |
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"turn_on": [], |
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"turn_off": [], |
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"toggle": [], |
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"volume_up": [], |
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"volume_down": [], |
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"volume_mute": [], |
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"media_play_pause": [], |
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"media_play": [], |
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"media_pause": [], |
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"media_stop": [], |
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"media_next_track": [], |
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"media_previous_track": [] |
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}, |
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random_parameter_generator={ |
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"media": lambda: random.choice(pile_of_media_names), |
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"volume": lambda: round(random.random(), 2), |
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}) |
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def get_random_state(self, extra_exposed_attributes=[]): |
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state = super().get_random_state(extra_exposed_attributes=extra_exposed_attributes) |
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if "media_title" in extra_exposed_attributes and state in [STATE_PLAYING, STATE_PAUSED, STATE_BUFFERING, STATE_ON]: |
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state = state + ";" + self.get_random_parameter("media") |
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if "volume_level" in extra_exposed_attributes and state != STATE_OFF: |
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state = state + ";vol=" + str(self.get_random_parameter("volume")) |
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return state |
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SUPPORTED_DEVICES = { |
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"light": LightDeviceType(), |
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"switch": DeviceType( |
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name="switch", |
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possible_states=[ |
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(STATE_ON, 0.5), |
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(STATE_OFF, 0.5) |
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], |
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services={ |
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"turn_on": [], |
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"turn_off": [], |
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"toggle": [] |
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}, |
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), |
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"fan": DeviceType( |
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name="fan", |
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possible_states=[ |
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(STATE_ON, 0.5), |
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(STATE_OFF, 0.5) |
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], |
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services={ |
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"turn_on": [], |
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"turn_off": [], |
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"toggle": [], |
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"increase_speed": [], |
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"decrease_speed": [], |
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}, |
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), |
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"garage_door": DeviceType( |
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name="garage_door", |
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possible_states=[ |
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(STATE_OPEN, 0.49), |
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(STATE_CLOSED, 0.49), |
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(STATE_OPENING, 0.01), |
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(STATE_CLOSING, 0.01) |
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], |
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services={ |
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"open_cover": [], |
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"close_cover": [], |
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"stop_cover": [], |
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"toggle": [], |
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}, |
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), |
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"blinds": DeviceType( |
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name="blinds", |
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possible_states=[ |
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(STATE_OPEN, 0.49), |
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(STATE_CLOSED, 0.49), |
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(STATE_OPENING, 0.01), |
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(STATE_CLOSING, 0.01) |
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], |
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services={ |
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"open_cover": [], |
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"close_cover": [], |
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"stop_cover": [], |
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"toggle": [], |
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}, |
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), |
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"lock": DeviceType( |
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name="lock", |
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possible_states=[ |
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(STATE_LOCKED, 0.5), |
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(STATE_UNLOCKED, 0.5), |
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], |
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services={ |
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"lock": [], |
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"unlock": [], |
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}, |
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), |
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"media_player": MediaPlayerDeviceType(), |
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"climate": ClimateDeviceType(), |
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"vacuum": DeviceType( |
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name="vacuum", |
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possible_states=[ |
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(STATE_CLEANING, 0.2), |
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(STATE_DOCKED, 0.6), |
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(STATE_RETURNING, 0.1), |
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(STATE_IDLE, 0.05), |
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(STATE_PAUSED, 0.05), |
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], |
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services={ |
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"start": [], |
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"pause": [], |
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"stop": [], |
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"return_to_base": [], |
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}, |
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), |
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"timer": DeviceType( |
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name="timer", |
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possible_states=[ |
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(STATE_IDLE, 0.2), |
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(STATE_ACTIVE, 0.6), |
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(STATE_PAUSED, 0.1), |
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], |
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services={ |
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"start": ["duration"], |
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"pause": [], |
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"cancel": [], |
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}, |
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random_parameter_generator={ |
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"duration": lambda: random.choice(list(pile_of_durations.keys())), |
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"remaining": lambda: f"{random.randint(0, 3):02}:{random.randint(0, 60)}:{random.randint(0, 60)}" |
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} |
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), |
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"todo": DeviceType( |
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name="timer", |
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possible_states=[ (f"{i}", (1/32)) for i in range(32) ], |
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services={ |
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"add_item": ["item"], |
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"pause": [], |
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"cancel": [], |
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}, |
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random_parameter_generator={ |
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"todo": lambda: random.choice(pile_of_todo_items), |
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} |
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), |
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} |
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stacks_of_device_names = { x: [] for x in SUPPORTED_DEVICES.keys() } |
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with open("piles/pile_of_device_names.csv") as f: |
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reader = csv.DictReader(f) |
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pile_of_device_names = list(reader) |
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for device_dict in pile_of_device_names: |
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try: |
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device_type = device_dict["device_name"].split(".")[0] |
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stacks_of_device_names[device_type].append(device_dict) |
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except KeyError as ex: |
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print(ex) |
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|
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with open("piles/pile_of_templated_actions.csv") as f: |
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reader = csv.DictReader(f) |
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pile_of_templated_actions = list(reader) |
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processed_pile_of_templated_actions = [] |
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for action in pile_of_templated_actions: |
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try: |
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multiplier = int(action["multiplier"]) |
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except Exception: |
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raise Exception(f"line has a bad multiplier: {action}") |
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for x in range(multiplier): |
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processed_pile_of_templated_actions.append(action) |
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|
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pile_of_templated_actions = processed_pile_of_templated_actions |
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|
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with open("piles/pile_of_specific_actions.csv") as f: |
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reader = csv.DictReader(f) |
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pile_of_specific_actions = list(reader) |
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|
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pile_of_responses = pandas.read_csv("piles/pile_of_responses.csv") |
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|
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var_pattern = re.compile("<(.*?)>") |
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def get_included_vars(response: str): |
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result = [] |
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for var in var_pattern.findall(response): |
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if var == "device_name": |
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continue |
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result.append(var) |
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|
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return ",".join(sorted(result)) |
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|
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pile_of_responses["contains_vars"] = pile_of_responses["response"].apply(get_included_vars) |
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|
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class NoResponseAvailableException(Exception): |
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pass |
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|
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def get_random_response(*, service: str, language: str, persona: str, question_template: str, short: bool) -> str: |
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|
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required_vars = list(set([var for var in var_pattern.findall(question_template) if "device_name" not in var])) |
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|
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possible_results = pile_of_responses.loc[(pile_of_responses['service']==service) & |
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(pile_of_responses['language']==language) & |
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(pile_of_responses['persona']==persona) & |
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(pile_of_responses['short']==(1 if short else 0)) & |
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(pile_of_responses['contains_vars']==",".join(sorted(required_vars))) |
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] |
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|
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if len(possible_results) == 0: |
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raise NoResponseAvailableException(f"No responses matched the provided filters: {persona}, {service}, {language}, {required_vars}, {short}") |
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|
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return possible_results.sample()["response"].values[0] |
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|
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with open("piles/pile_of_status_requests.csv") as f: |
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reader = csv.DictReader(f) |
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pile_of_status_requests = list(reader) |
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|
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with open("piles/pile_of_system_prompts.csv") as f: |
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reader = csv.DictReader(f) |
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pile_of_system_prompts = { line["persona"]: line["prompt"] for line in reader } |
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|
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def format_device_line(*, device_name: str, friendly_name: str, state: str): |
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return (f"{device_name} '{friendly_name}' = {state}") |
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|
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|
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def random_device_list(max_devices: int, avoid_device_names: list[str]): |
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num_devices = random.randint(2, max_devices) |
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|
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local_device_names = { k: v[:] for k,v in stacks_of_device_names.items() } |
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|
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avoid_climate = False |
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for avoid_device in avoid_device_names: |
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avoid_type = avoid_device.split(".")[0] |
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|
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filtered_possible_devices = [] |
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for possible_device in local_device_names[avoid_type]: |
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similarity_ratio = SequenceMatcher(None, avoid_device, possible_device["device_name"].split(".")[1]).ratio() |
|
|
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if similarity_ratio < 0.4: |
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filtered_possible_devices.append(possible_device) |
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local_device_names[avoid_type] = filtered_possible_devices |
|
|
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if avoid_type == "climate": |
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avoid_climate = True |
|
|
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possible_choices = [] |
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for device_type in local_device_names.keys(): |
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possible_choices.extend(local_device_names[device_type]) |
|
|
|
|
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device_types = set() |
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device_list = [] |
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device_lines = [] |
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|
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extra_exposed_attributes = ["rgb_color", "brightness", "temperature", "humidity", "fan_mode", "media_title", "volume_level", "duration", "remaining", "item"] |
|
|
|
while len(device_list) < num_devices: |
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choice = random.choice(possible_choices) |
|
if choice["device_name"] in device_list: |
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continue |
|
|
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try: |
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device_name = choice["device_name"] |
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device_type = device_name.split(".")[0] |
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friendly_name = choice["description"] |
|
|
|
|
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if avoid_climate and device_type == "climate": |
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continue |
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|
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state = SUPPORTED_DEVICES[device_type].get_random_state(extra_exposed_attributes=extra_exposed_attributes) |
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device_lines.append(format_device_line( |
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device_name=device_name, |
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friendly_name=friendly_name, |
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state=state |
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)) |
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device_list.append(device_name) |
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device_types.add(device_type) |
|
except Exception as ex: |
|
print(f"bad device name: {choice}") |
|
print(repr(ex)) |
|
|
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return device_lines, list(device_types), list(extra_exposed_attributes) |
|
|
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def generate_static_example(action: dict, language: str, persona: str, max_devices: int = 32): |
|
question = action["english_phrase"] |
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service_name = action["service_name"] |
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device_type = service_name.split(".")[0] |
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target_device = f"{device_type}.{action['device_name']}" |
|
friendly_name = target_device.split(".")[1].replace("_", " ").title() |
|
|
|
device_list, device_types, extra_exposed_attributes = random_device_list( |
|
max_devices=max_devices, avoid_device_names=[target_device]) |
|
|
|
|
|
index = random.randint(0, len(device_list)) |
|
state = SUPPORTED_DEVICES[device_type].get_random_state(extra_exposed_attributes=extra_exposed_attributes) |
|
|
|
device_list.insert(index, format_device_line( |
|
device_name=target_device, |
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friendly_name=friendly_name, |
|
state=state |
|
)) |
|
|
|
|
|
available_services = [] |
|
for x in set(device_types + [device_type]): |
|
available_services.extend(SUPPORTED_DEVICES[x].get_all_services(extra_exposed_attributes)) |
|
|
|
response = get_random_response( |
|
service=action["service_name"], |
|
language=language, |
|
persona=persona, |
|
question_template="", |
|
short=False |
|
).lower() |
|
|
|
response = response.replace("<device_name>", friendly_name) |
|
|
|
return { |
|
"states": device_list, |
|
"available_services": list(available_services), |
|
"question": question.lower(), |
|
"answers": [ response ], |
|
"service_calls": [ { "service": service_name, "target_device": target_device } ] |
|
} |
|
|
|
def generate_templated_example(template: dict, language: str, persona: str, max_devices: int = 32): |
|
template_device_types: list[str] = template["device_type"].split("|") |
|
service_names: list[str] = [ f"{x}.{y}" for x, y in zip(template_device_types, template["service"].split("|")) ] |
|
question_template: str = template["english_phrase"] |
|
|
|
|
|
chosen_devices = [] |
|
for device_type in template_device_types: |
|
device_dict = random.choice(stacks_of_device_names[device_type]) |
|
device_dict["type"] = device_type |
|
chosen_devices.append(device_dict) |
|
|
|
device_list, device_types, extra_exposed_attributes = random_device_list( |
|
max_devices=max_devices, avoid_device_names=[d["device_name"] for d in chosen_devices]) |
|
|
|
|
|
for device_dict in chosen_devices: |
|
index = random.randint(0, len(device_list)) |
|
if "<brightness>" in question_template and "brightness" not in extra_exposed_attributes: |
|
extra_exposed_attributes.append("brightness") |
|
if "<color>" in question_template and "rgb_color" not in extra_exposed_attributes: |
|
extra_exposed_attributes.append("rgb_color") |
|
if ("<temp_f>" in question_template or "<temp_c>" in question_template) \ |
|
and "temperature" not in extra_exposed_attributes: |
|
extra_exposed_attributes.append("temperature") |
|
if "<humidity>" in question_template and "humidity" not in extra_exposed_attributes: |
|
extra_exposed_attributes.append("humidity") |
|
if "<fan_mode>" in question_template and "fan_mode" not in extra_exposed_attributes: |
|
extra_exposed_attributes.append("fan_mode") |
|
if "<duration>" in question_template and "duration" not in extra_exposed_attributes: |
|
extra_exposed_attributes.append("duration") |
|
|
|
state = SUPPORTED_DEVICES[device_dict["type"]].get_random_state(extra_exposed_attributes=extra_exposed_attributes) |
|
device_name = device_dict["device_name"] |
|
friendly_name = device_dict["description"] |
|
|
|
device_list.insert(index, format_device_line( |
|
device_name=device_name, |
|
friendly_name=friendly_name, |
|
state=state |
|
)) |
|
|
|
|
|
available_services = [] |
|
for x in set(device_types + template_device_types): |
|
available_services.extend(SUPPORTED_DEVICES[x].get_all_services(extra_exposed_attributes)) |
|
|
|
|
|
if len(template_device_types) == 1: |
|
|
|
answer_template = get_random_response( |
|
service=service_names[0], |
|
language=language, |
|
persona=persona, |
|
question_template=question_template, |
|
short=False |
|
) |
|
|
|
question = question_template.replace("<device_name>", chosen_devices[0]["description"]) |
|
answer = answer_template.replace("<device_name>", chosen_devices[0]["description"]) |
|
else: |
|
question = question_template |
|
answers = [] |
|
for i in range(len(template_device_types)): |
|
question = question.replace(f"<device_name{(i + 1)}>", chosen_devices[i]["description"]) |
|
answer = get_random_response( |
|
service=service_names[i], |
|
language=language, |
|
persona=persona, |
|
question_template=question_template, |
|
short=True |
|
) |
|
answers.append(answer.replace(f"<device_name>", chosen_devices[i]["description"])) |
|
|
|
|
|
answer = " and ".join(answers) |
|
|
|
|
|
service_calls = [] |
|
for device_dict, service in zip(chosen_devices, service_names): |
|
service_calls.append({ "service": service, "target_device": device_dict["device_name"] }) |
|
|
|
if any(["climate" in service for service in service_names ]): |
|
climate_device_type = SUPPORTED_DEVICES["climate"] |
|
if "<hvac_mode>" in question: |
|
hvac_mode = climate_device_type.get_random_parameter("hvac_mode") |
|
question = question.replace("<hvac_mode>", hvac_mode) |
|
answer = answer.replace("<hvac_mode>", hvac_mode) |
|
service_calls = [ { **call, "hvac_mode": hvac_mode} for call in service_calls ] |
|
|
|
if "<fan_mode>" in question: |
|
fan_mode = climate_device_type.get_random_parameter("fan_mode") |
|
question = question.replace("<fan_mode>", fan_mode) |
|
answer = answer.replace("<fan_mode>", fan_mode) |
|
service_calls = [ { **call, "fan_mode": fan_mode} for call in service_calls ] |
|
|
|
if "<temp_f>" in question: |
|
temp_f = climate_device_type.get_random_parameter("temp_f") |
|
question = question.replace("<temp_f>", str(temp_f)) |
|
answer = answer.replace("<temp_f>", str(temp_f)) |
|
service_calls = [ { **call, "temperature": temp_f} for call in service_calls ] |
|
|
|
if "<temp_c>" in question: |
|
temp_c = climate_device_type.get_random_parameter("temp_c") |
|
question = question.replace("<temp_c>", str(temp_c)) |
|
answer = answer.replace("<temp_c>", str(temp_c)) |
|
service_calls = [ { **call, "temperature": temp_c} for call in service_calls ] |
|
|
|
if "<humidity>" in question: |
|
humidity = climate_device_type.get_random_parameter("humidity") |
|
question = question.replace("<humidity>", str(humidity)) |
|
answer = answer.replace("<humidity>", str(humidity)) |
|
service_calls = [ { **call, "humidity": humidity} for call in service_calls ] |
|
|
|
if any(["light" in service for service in service_names ]): |
|
light_device_type = SUPPORTED_DEVICES["light"] |
|
if "<brightness>" in question: |
|
brightness = light_device_type.get_random_parameter("brightness") |
|
question = question.replace("<brightness>", str(brightness)) |
|
answer = answer.replace("<brightness>", str(brightness)) |
|
service_calls = [ { **call, "brightness": round(brightness / 100, 2) } for call in service_calls ] |
|
|
|
if "<color>" in question: |
|
random_rgb = light_device_type.get_random_parameter("rgb_color") |
|
random_rgb_name = closest_color(random_rgb) |
|
actual_random_rgb = webcolors.name_to_rgb(random_rgb_name) |
|
actual_random_rgb = (actual_random_rgb.red, actual_random_rgb.green, actual_random_rgb.blue) |
|
question = question.replace("<color>", str(random_rgb_name)) |
|
answer = answer.replace("<color>", str(random_rgb_name)) |
|
service_calls = [ { **call, "rgb_color": str(actual_random_rgb) } for call in service_calls ] |
|
|
|
if any(["timer" in service for service in service_names ]): |
|
timer_device_type = SUPPORTED_DEVICES["timer"] |
|
if "<duration>" in question: |
|
duration = timer_device_type.get_random_parameter("duration") |
|
duration_name = pile_of_durations[duration] |
|
question = question.replace("<duration>", duration_name) |
|
answer = answer.replace("<duration>", duration_name) |
|
service_calls = [ { **call, "duration": str(duration) } for call in service_calls ] |
|
|
|
if any(["todo" in service for service in service_names ]): |
|
todo_device_type = SUPPORTED_DEVICES["todo"] |
|
if "<todo>" in question: |
|
todo = todo_device_type.get_random_parameter("todo") |
|
question = question.replace("<todo>", todo) |
|
answer = answer.replace("<todo>", todo) |
|
service_calls = [ { **call, "item": todo } for call in service_calls ] |
|
|
|
return { |
|
"states": device_list, |
|
"available_services": list(available_services), |
|
"question": question.lower(), |
|
"answers": [ answer.lower() ], |
|
"service_calls": service_calls |
|
} |
|
|
|
def generate_status_request(template: dict, language: str, persona: str, max_devices: int = 32): |
|
device_type: str = template["device_type"] |
|
state_name: str = template["state"] |
|
question_template: str = template["english_phrase"] |
|
answer_template: str = template["assistant_response"] |
|
|
|
|
|
chosen_device = random.choice(stacks_of_device_names[device_type]) |
|
|
|
|
|
device_list, device_types, extra_exposed_attributes = random_device_list(max_devices=max_devices, avoid_device_names=[ chosen_device["device_name"] ]) |
|
|
|
|
|
index = random.randint(0, len(device_list)) |
|
|
|
|
|
question = question_template.replace("<device_name>", chosen_device["description"]) |
|
answer = answer_template.replace("<device_name>", chosen_device["description"]) |
|
|
|
|
|
if device_type == "climate": |
|
climate_device_type = SUPPORTED_DEVICES["climate"] |
|
temp_f = climate_device_type.get_random_parameter("temp_f") |
|
answer = answer.replace("<temp_f>", str(temp_f)) |
|
state_name = state_name.replace("<temp_f>", str(temp_f)) |
|
|
|
temp_c = climate_device_type.get_random_parameter("temp_c") |
|
answer = answer.replace("<temp_c>", str(temp_c)) |
|
state_name = state_name.replace("<temp_c>", str(temp_f)) |
|
|
|
humidity = climate_device_type.get_random_parameter("humidity") |
|
answer = answer.replace("<humidity>", str(humidity)) |
|
state_name = state_name.replace("<humidity>", str(temp_f)) |
|
|
|
if device_type == "light": |
|
light_device_type = SUPPORTED_DEVICES["light"] |
|
|
|
brightness = light_device_type.get_random_parameter("brightness") |
|
answer = answer.replace("<brightness>", str(brightness)) |
|
state_name = state_name.replace("<brightness>", str(brightness)) |
|
|
|
random_rgb = light_device_type.get_random_parameter("rgb_color") |
|
random_rgb_name = closest_color(random_rgb) |
|
actual_random_rgb = webcolors.name_to_rgb(random_rgb_name) |
|
actual_random_rgb = (actual_random_rgb.red, actual_random_rgb.green, actual_random_rgb.blue) |
|
state_name = state_name.replace("<color>", str(random_rgb_name) + " " + str(actual_random_rgb)) |
|
answer = answer.replace("<color>", str(random_rgb_name)) |
|
|
|
if device_type == "media_player": |
|
media_player_device_type = SUPPORTED_DEVICES["media_player"] |
|
volume = media_player_device_type.get_random_parameter("volume") |
|
random_media = media_player_device_type.get_random_parameter("media") |
|
|
|
answer = answer.replace("<volume>", str(volume) + "%") |
|
state_name = state_name.replace("<volume>", str(volume) + "%") |
|
|
|
answer = answer.replace("<media>", random_media) |
|
state_name = state_name.replace("<media>", random_media) |
|
|
|
if device_type == "timer": |
|
timer_device_type = SUPPORTED_DEVICES["timer"] |
|
duration = timer_device_type.get_random_parameter("duration") |
|
duration_name = pile_of_durations[duration] |
|
remaining = timer_device_type.get_random_parameter("remaining") |
|
|
|
answer = answer.replace("<duration>", duration_name) |
|
state_name = state_name.replace("<duration>", duration) |
|
|
|
answer = answer.replace("<remaining>", remaining) |
|
state_name = state_name.replace("<remaining>", remaining) |
|
|
|
device_list.insert(index, f"{chosen_device['device_name']} = {state_name}") |
|
|
|
|
|
available_services = [] |
|
for x in set(device_types + [device_type]): |
|
available_services.extend(SUPPORTED_DEVICES[x].get_all_services(extra_exposed_attributes)) |
|
|
|
return { |
|
"states": device_list, |
|
"available_services": list(available_services), |
|
"question": question.lower(), |
|
"answers": [ answer.lower() ], |
|
"service_calls": [] |
|
} |
|
|
|
def format_example_raw_chatml(example, persona): |
|
"""Don't use this one anymore""" |
|
sys_prompt = pile_of_system_prompts[persona] |
|
services_block = "Services: " + ", ".join(sorted(example["available_services"])) |
|
states_block = "Devices:\n" + "\n".join(example["states"]) |
|
question = example["question"] |
|
answers = " ".join(example["answers"]) |
|
|
|
system_block = "\n".join([ "<|im_start|>system", sys_prompt, services_block, states_block ]) + "<|im_end|>" |
|
user_block = "\n".join([ "<|im_start|>user", question]) + "<|im_end|>" |
|
|
|
assistant_block = "<|im_start|>assistant\n" + answers |
|
if len(example["service_calls"]) > 0: |
|
json_calls = [ json.dumps(x) for x in example["service_calls"] ] |
|
code_block = "\n```homeassistant\n" + "\n".join(json_calls) + "\n```" |
|
assistant_block = assistant_block + code_block |
|
assistant_block = assistant_block + "<|im_end|>" |
|
|
|
example_lines = [system_block, user_block, assistant_block] |
|
result = "\n".join(example_lines) |
|
if "<device_name" in result: |
|
print("bad templating") |
|
|
|
|
|
result = result.replace("blinds.", "cover.") |
|
result = result.replace("garage_door.", "cover.") |
|
return { "text": result } |
|
|
|
def format_example_sharegpt(example, persona): |
|
sys_prompt = pile_of_system_prompts[persona] |
|
services_block = "Services: " + ", ".join(sorted(example["available_services"])) |
|
states_block = "Devices:\n" + "\n".join(example["states"]) |
|
question = example["question"] |
|
answers = " ".join(example["answers"]) |
|
|
|
assistant_block = answers |
|
if len(example["service_calls"]) > 0: |
|
json_calls = [ json.dumps(x) for x in example["service_calls"] ] |
|
code_block = "\n```homeassistant\n" + "\n".join(json_calls) + "\n```" |
|
assistant_block = assistant_block + code_block |
|
|
|
|
|
assistant_block = assistant_block.replace("blinds.", "cover.").replace("garage_door.", "cover.") |
|
states_block = states_block.replace("blinds.", "cover.").replace("garage_door.", "cover.") |
|
services_block = services_block.replace("blinds.", "cover.").replace("garage_door.", "cover.") |
|
|
|
conversation = [ |
|
{ "from": "system", "value": "\n".join([ sys_prompt, services_block, states_block ])}, |
|
{ "from": "user", "value": question }, |
|
{ "from": "assistant", "value": assistant_block }, |
|
] |
|
|
|
return { "conversations": conversation } |
|
|
|
|
|
def generate_example_file(filename: str, seed: int, format_func: Callable, languages: list[str], personas: list[str], *, static_factor: int, template_factor: int, status_request_factor: int): |
|
random.seed(seed) |
|
np.random.seed(seed) |
|
|
|
print("Generating...") |
|
|
|
def run_factor_times(func, examples, data, language, persona, factor): |
|
if factor >= 1: |
|
for i in range(factor): |
|
examples.append(format_func(func(data, language, persona), persona)) |
|
else: |
|
if random.random() < factor: |
|
examples.append(format_func(func(data, language, persona), persona)) |
|
|
|
generated_examples = [] |
|
|
|
missing_responses = set() |
|
|
|
for lang in languages: |
|
for person in personas: |
|
for action in tqdm(pile_of_specific_actions): |
|
try: |
|
run_factor_times(generate_static_example, generated_examples, action, lang, person, static_factor) |
|
except NoResponseAvailableException as ex: |
|
missing_responses.add(str(ex)) |
|
|
|
for templated_action in tqdm(pile_of_templated_actions): |
|
try: |
|
run_factor_times(generate_templated_example, generated_examples, templated_action, lang, person, template_factor) |
|
except NoResponseAvailableException as ex: |
|
missing_responses.add(str(ex)) |
|
|
|
for status_request in tqdm(pile_of_status_requests): |
|
run_factor_times(generate_status_request, generated_examples, status_request, "en", "assistant", status_request_factor) |
|
|
|
print(f"Generated {len(generated_examples)} examples. Saving...") |
|
|
|
for missing in sorted(missing_responses): |
|
print(missing) |
|
|
|
with open(f"{filename}.jsonl", "w") as f: |
|
for item in generated_examples: |
|
json_record = json.dumps(item) |
|
f.write(json_record + '\n') |
|
|
|
print("Done!") |
|
|
|
def format_alpaca(example, format_func: Callable): |
|
question = example["instruction"] |
|
if "input" in example and example["input"]: |
|
question = question = "\n" + example["input"] |
|
|
|
answer = example["output"] |
|
|
|
device_list, device_types, extra_exposed_attributes = random_device_list( |
|
max_devices=32, avoid_device_names=[]) |
|
|
|
available_services = [] |
|
for x in device_types: |
|
available_services.extend(SUPPORTED_DEVICES[x].get_all_services(extra_exposed_attributes)) |
|
|
|
text = format_func(example={ |
|
"states": device_list, |
|
"available_services": list(available_services), |
|
"question": question, |
|
"answers": [ answer ], |
|
"service_calls": [] |
|
}) |
|
|
|
result = { |
|
"text": text |
|
} |
|
|
|
return result |
|
|
|
def merge_with_dataset(dataset_name, seed, output_name, format_function, dataset_column_names, format_func): |
|
alpaca_dataset = load_dataset(dataset_name)["train"].train_test_split(test_size=0.1) |
|
home_assistant_dataset = load_dataset("json", data_files={ "train": "home_assistant_train.jsonl", "test": "home_assistant_test.jsonl" }) |
|
|
|
random.seed(seed) |
|
np.random.seed(seed) |
|
|
|
alpaca_dataset = alpaca_dataset.map(format_function).remove_columns(dataset_column_names) |
|
|
|
combined_dataset_train = concatenate_datasets([home_assistant_dataset["train"], alpaca_dataset["train"]]).shuffle(seed=42) |
|
combined_dataset_test = concatenate_datasets([home_assistant_dataset["test"], alpaca_dataset["test"]]).shuffle(seed=42) |
|
|
|
combined_dataset_train.to_json(f"home_assistant_{output_name}_merged_train.jsonl") |
|
combined_dataset_test.to_json(f"home_assistant_{output_name}_merged_test.jsonl") |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def main(): |
|
parser = argparse.ArgumentParser(description="Generate the full dataset from the CSV piles") |
|
parser.add_argument("--sample", action="store_true", help="Set this flag to enable generation of the train dataset.") |
|
parser.add_argument("--test", action="store_true", help="Set this flag to enable generation of the train dataset..") |
|
parser.add_argument("--train", action="store_true", help="Set this flag to enable generation of the train dataset.") |
|
parser.add_argument("--merge", help="Set this flag to merge the generated datasets with the specified dataset.") |
|
|
|
train_size_group = parser.add_mutually_exclusive_group() |
|
train_size_group.add_argument('--small', action='store_const', const='small', dest='size') |
|
train_size_group.add_argument('--medium', action='store_const', const='medium', dest='size') |
|
train_size_group.add_argument('--large', action='store_const', const='large', dest='size') |
|
train_size_group.add_argument('--xl', action='store_const', const='xl', dest='size') |
|
|
|
dataset_format_group = parser.add_mutually_exclusive_group() |
|
dataset_format_group.add_argument('--raw_corpus', action='store_const', const='raw', dest='format') |
|
dataset_format_group.add_argument('--sharegpt', action='store_const', const='sharegpt', dest='format') |
|
|
|
args = parser.parse_args() |
|
|
|
languages = ["en"] |
|
personas = ["assistant", "pirate", "robot"] |
|
|
|
if not args.sample and not args.train and not args.test and not args.merge: |
|
parser.print_usage() |
|
|
|
if not args.format or args.format == "raw": |
|
format_func = format_example_raw_chatml |
|
elif args.format == "sharegpt": |
|
format_func = format_example_sharegpt |
|
|
|
if args.sample: |
|
generate_example_file("sample", 42, format_func, languages, personas, static_factor=1, template_factor=1, status_request_factor=1) |
|
if args.train: |
|
if args.size == "small": |
|
generate_example_file("home_assistant_train", 42, format_func, languages, personas, static_factor=1, template_factor=10, status_request_factor=8) |
|
elif args.size == "medium": |
|
generate_example_file("home_assistant_train", 42, format_func, languages, personas, static_factor=5, template_factor=15, status_request_factor=12) |
|
elif args.size == "large": |
|
generate_example_file("home_assistant_train", 42, format_func, languages, personas, static_factor=5, template_factor=20, status_request_factor=15) |
|
elif args.size == "xl": |
|
generate_example_file("home_assistant_train", 42, format_func, languages, personas, static_factor=7, template_factor=25, status_request_factor=18) |
|
else: |
|
raise Exception(f"Unrecognized dataset size: {args.size}") |
|
if args.test: |
|
generate_example_file("home_assistant_test", 12345, format_func, languages, personas, static_factor=0.25, template_factor=1, status_request_factor=2) |
|
|
|
if args.merge == "alpaca": |
|
merge_with_dataset("yahma/alpaca-cleaned", 42, "alpaca", format_alpaca, ["input", "output", "instruction"], format_func) |
|
elif args.merge == "wizardlm70k": |
|
merge_with_dataset("WizardLM/WizardLM_evol_instruct_70k", 42, "wizardlm70k", format_alpaca, ["output", "instruction"], format_func) |
|
|
|
if __name__ == "__main__": |
|
main() |