Datasets:
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import argparse
import json
import csv
import pandas
import numpy as np
import random
import re
from dataclasses import dataclass
from datasets import load_dataset, concatenate_datasets
from difflib import SequenceMatcher
from typing import Final, Any, Callable, Optional
from tqdm import tqdm
import webcolors
# #### STATES ####
STATE_ON: Final = "on"
STATE_OFF: Final = "off"
STATE_ACTIVE: Final = "active"
STATE_UNKNOWN: Final = "unknown"
STATE_OPEN: Final = "open"
STATE_OPENING: Final = "opening"
STATE_CLOSED: Final = "closed"
STATE_CLOSING: Final = "closing"
STATE_BUFFERING: Final = "buffering"
STATE_PLAYING: Final = "playing"
STATE_PAUSED: Final = "paused"
STATE_IDLE: Final = "idle"
STATE_STANDBY: Final = "standby"
STATE_LOCKED: Final = "locked"
STATE_UNLOCKED: Final = "unlocked"
STATE_LOCKING: Final = "locking"
STATE_UNLOCKING: Final = "unlocking"
STATE_JAMMED: Final = "jammed"
STATE_UNAVAILABLE: Final = "unavailable"
STATE_OK: Final = "ok"
STATE_PROBLEM: Final = "problem"
STATE_CLEANING: Final = "cleaning"
STATE_DOCKED: Final = "docked"
STATE_RETURNING: Final = "returning"
def closest_color(requested_color):
min_colors = {}
for key, name in webcolors.CSS3_HEX_TO_NAMES.items():
r_c, g_c, b_c = webcolors.hex_to_rgb(key)
rd = (r_c - requested_color[0]) ** 2
gd = (g_c - requested_color[1]) ** 2
bd = (b_c - requested_color[2]) ** 2
min_colors[(rd + gd + bd)] = name
return min_colors[min(min_colors.keys())]
@dataclass
class DeviceType:
name: str
possible_states: list[(str, float)]
services: dict[str, list]
random_parameter_generator: Optional[dict[str, Callable]] = None
def get_all_services(self, extra_exposed_attributes):
result = []
for service in self.services.keys():
args = set(extra_exposed_attributes).intersection(self.services[service])
result.append(f"{self.name}.{service}({','.join(args)})")
return result
def get_random_parameter(self, param_name):
return self.random_parameter_generator[param_name]()
def get_random_state(self, extra_exposed_attributes=[]):
states = [ x[0] for x in self.possible_states ]
weights = [ x[1] for x in self.possible_states ]
return random.choices(states, weights=weights, k=1)[0]
class LightDeviceType(DeviceType):
def __init__(self):
super().__init__("light",
possible_states=[
(STATE_ON, 0.5),
(STATE_OFF, 0.5)
],
services={
"turn_on": [ "rgb_color", "brightness" ],
"turn_off": [],
"toggle": []
},
random_parameter_generator={
"rgb_color": lambda: (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255)),
"brightness": lambda: random.randint(0, 100),
}
)
def get_random_state(self, extra_exposed_attributes=[]):
state = super().get_random_state(extra_exposed_attributes=extra_exposed_attributes)
if random.random() < 0.5 and "rgb_color" in extra_exposed_attributes:
random_rgb = self.get_random_parameter("rgb_color")
state = state + ";" + closest_color(random_rgb) + " " + str(random_rgb)
if random.random() < 0.7 and "brightness" in extra_exposed_attributes:
state = state + ";" + str(self.get_random_parameter("brightness")) + "%"
return state
class ClimateDeviceType(DeviceType):
def __init__(self):
super().__init__("climate", [], {
"turn_on": [],
"turn_off": [],
"toggle": [],
"set_temperature": ["temperature"],
"set_humidity": ["humidity"],
"set_fan_mode": ["fan_mode"],
"set_hvac_mode": ["hvac_mode"],
"set_preset_mode": ["preset_mode"]
},
random_parameter_generator={
"fan_mode": lambda: random.choice(["On Low", "On High", "Auto Low", "Auto High", "Off"]),
"temp_f": lambda: random.randint(60, 80),
"temp_c": lambda: random.randint(15, 25),
"humidity": lambda: random.randint(10, 90),
"preset_mode": lambda: random.choice(["home", "eco", "away", "auto"]),
"hvac_mode": lambda: random.choice(["heat", "cool", "heat_cool", "off", "auto", "fan_only"]),
})
def get_random_state(self, extra_exposed_attributes=[]):
"""state;fan_mode;temperature;humidity"""
state = self.get_random_parameter("hvac_mode")
if "fan_mode" in extra_exposed_attributes:
state = state + ";" + self.get_random_parameter("fan_mode")
if "temperature" in extra_exposed_attributes:
if random.random() > 0.5:
state = state + ";" + str(self.get_random_parameter("temp_f")) + "F"
else:
state = state + ";" + str(self.get_random_parameter("temp_c")) + "C"
if "humidity" in extra_exposed_attributes:
state = state + ";" + str(self.get_random_parameter("humidity")) + "%"
if random.random() < 0.8 and "preset_mode" in extra_exposed_attributes:
# if it is not "on a preset" then don't add the mode
state = state + ";" + self.get_random_parameter("preset_mode")
return state
with open("piles/pile_of_durations.csv") as f:
reader = csv.DictReader(f)
pile_of_durations = { x["duration"]: x["english_name"] for x in reader }
with open("piles/pile_of_media_names.txt") as f:
pile_of_media_names = [ x.strip() for x in f.readlines() ]
with open("piles/pile_of_todo_items.txt") as f:
pile_of_todo_items = [ x.strip() for x in f.readlines() ]
class MediaPlayerDeviceType(DeviceType):
def __init__(self):
super().__init__("media_player", [
(STATE_ON, 0.15),
(STATE_OFF, 0.54),
(STATE_IDLE, 0.1),
(STATE_PLAYING, 0.1),
(STATE_PAUSED, 0.05),
(STATE_STANDBY, 0.05),
(STATE_BUFFERING, 0.01),
], {
"turn_on": [],
"turn_off": [],
"toggle": [],
"volume_up": [],
"volume_down": [],
"volume_mute": [],
"media_play_pause": [],
"media_play": [],
"media_pause": [],
"media_stop": [],
"media_next_track": [],
"media_previous_track": []
},
random_parameter_generator={
"media": lambda: random.choice(pile_of_media_names),
"volume": lambda: round(random.random(), 2),
})
def get_random_state(self, extra_exposed_attributes=[]):
state = super().get_random_state(extra_exposed_attributes=extra_exposed_attributes)
if "media_title" in extra_exposed_attributes and state in [STATE_PLAYING, STATE_PAUSED, STATE_BUFFERING, STATE_ON]:
state = state + ";" + self.get_random_parameter("media")
if "volume_level" in extra_exposed_attributes and state != STATE_OFF:
state = state + ";vol=" + str(self.get_random_parameter("volume"))
return state
SUPPORTED_DEVICES = {
"light": LightDeviceType(),
"switch": DeviceType(
name="switch",
possible_states=[
(STATE_ON, 0.5),
(STATE_OFF, 0.5)
],
services={
"turn_on": [],
"turn_off": [],
"toggle": []
},
),
"fan": DeviceType(
name="fan",
possible_states=[
(STATE_ON, 0.5),
(STATE_OFF, 0.5)
],
services={
"turn_on": [],
"turn_off": [],
"toggle": [],
"increase_speed": [],
"decrease_speed": [],
},
),
"garage_door": DeviceType(
name="garage_door",
possible_states=[
(STATE_OPEN, 0.49),
(STATE_CLOSED, 0.49),
(STATE_OPENING, 0.01),
(STATE_CLOSING, 0.01)
],
services={
"open_cover": [],
"close_cover": [],
"stop_cover": [],
"toggle": [],
},
),
"blinds": DeviceType(
name="blinds",
possible_states=[
(STATE_OPEN, 0.49),
(STATE_CLOSED, 0.49),
(STATE_OPENING, 0.01),
(STATE_CLOSING, 0.01)
],
services={
"open_cover": [],
"close_cover": [],
"stop_cover": [],
"toggle": [],
},
),
"lock": DeviceType(
name="lock",
possible_states=[
(STATE_LOCKED, 0.5),
(STATE_UNLOCKED, 0.5),
],
services={
"lock": [],
"unlock": [],
},
),
"media_player": MediaPlayerDeviceType(),
"climate": ClimateDeviceType(),
"vacuum": DeviceType(
name="vacuum",
possible_states=[
(STATE_CLEANING, 0.2),
(STATE_DOCKED, 0.6),
(STATE_RETURNING, 0.1),
(STATE_IDLE, 0.05),
(STATE_PAUSED, 0.05),
],
services={
"start": [],
"pause": [],
"stop": [],
"return_to_base": [],
},
),
"timer": DeviceType(
name="timer",
possible_states=[
(STATE_IDLE, 0.2),
(STATE_ACTIVE, 0.6),
(STATE_PAUSED, 0.1),
],
services={
"start": ["duration"],
"pause": [],
"cancel": [],
},
random_parameter_generator={
"duration": lambda: random.choice(list(pile_of_durations.keys())),
"remaining": lambda: f"{random.randint(0, 3):02}:{random.randint(0, 60)}:{random.randint(0, 60)}"
}
),
"todo": DeviceType(
name="timer",
possible_states=[ (f"{i}", (1/32)) for i in range(32) ],
services={
"add_item": ["item"],
"pause": [],
"cancel": [],
},
random_parameter_generator={
"todo": lambda: random.choice(pile_of_todo_items),
}
),
}
stacks_of_device_names = { x: [] for x in SUPPORTED_DEVICES.keys() }
with open("piles/pile_of_device_names.csv") as f:
reader = csv.DictReader(f)
pile_of_device_names = list(reader)
for device_dict in pile_of_device_names:
try:
device_type = device_dict["device_name"].split(".")[0]
stacks_of_device_names[device_type].append(device_dict)
except KeyError as ex:
print(ex)
with open("piles/pile_of_templated_actions.csv") as f:
reader = csv.DictReader(f)
pile_of_templated_actions = list(reader)
processed_pile_of_templated_actions = []
for action in pile_of_templated_actions:
try:
multiplier = int(action["multiplier"])
except Exception:
raise Exception(f"line has a bad multiplier: {action}")
for x in range(multiplier):
processed_pile_of_templated_actions.append(action)
pile_of_templated_actions = processed_pile_of_templated_actions
with open("piles/pile_of_specific_actions.csv") as f:
reader = csv.DictReader(f)
pile_of_specific_actions = list(reader)
pile_of_responses = pandas.read_csv("piles/pile_of_responses.csv")
var_pattern = re.compile("<(.*?)>")
def get_included_vars(response: str):
result = []
for var in var_pattern.findall(response):
if var == "device_name":
continue
result.append(var)
return ",".join(sorted(result))
pile_of_responses["contains_vars"] = pile_of_responses["response"].apply(get_included_vars)
class NoResponseAvailableException(Exception):
pass
def get_random_response(*, service: str, language: str, persona: str, question_template: str, short: bool) -> str:
required_vars = list(set([var for var in var_pattern.findall(question_template) if "device_name" not in var]))
possible_results = pile_of_responses.loc[(pile_of_responses['service']==service) &
(pile_of_responses['language']==language) &
(pile_of_responses['persona']==persona) &
(pile_of_responses['short']==(1 if short else 0)) &
(pile_of_responses['contains_vars']==",".join(sorted(required_vars)))
]
if len(possible_results) == 0:
raise NoResponseAvailableException(f"No responses matched the provided filters: {persona}, {service}, {language}, {required_vars}, {short}")
return possible_results.sample()["response"].values[0]
with open("piles/pile_of_status_requests.csv") as f:
reader = csv.DictReader(f)
pile_of_status_requests = list(reader)
with open("piles/pile_of_system_prompts.csv") as f:
reader = csv.DictReader(f)
pile_of_system_prompts = { line["persona"]: line["prompt"] for line in reader }
def format_device_line(*, device_name: str, friendly_name: str, state: str):
return (f"{device_name} '{friendly_name}' = {state}")
# generate a random list of devices for the context
def random_device_list(max_devices: int, avoid_device_names: list[str]):
num_devices = random.randint(2, max_devices)
local_device_names = { k: v[:] for k,v in stacks_of_device_names.items() }
avoid_climate = False
for avoid_device in avoid_device_names:
avoid_type = avoid_device.split(".")[0]
filtered_possible_devices = []
for possible_device in local_device_names[avoid_type]:
similarity_ratio = SequenceMatcher(None, avoid_device, possible_device["device_name"].split(".")[1]).ratio()
if similarity_ratio < 0.4:
filtered_possible_devices.append(possible_device)
local_device_names[avoid_type] = filtered_possible_devices
if avoid_type == "climate":
avoid_climate = True
possible_choices = []
for device_type in local_device_names.keys():
possible_choices.extend(local_device_names[device_type])
device_types = set()
device_list = []
device_lines = []
# TODO: randomly pick attributes for this list
extra_exposed_attributes = ["rgb_color", "brightness", "temperature", "humidity", "fan_mode", "media_title", "volume_level", "duration", "remaining", "item"]
while len(device_list) < num_devices:
choice = random.choice(possible_choices)
if choice["device_name"] in device_list:
continue
try:
device_name = choice["device_name"]
device_type = device_name.split(".")[0]
friendly_name = choice["description"]
# don't add random thermostats. we need to be careful about how we handle multiple thermostats
if avoid_climate and device_type == "climate":
continue
state = SUPPORTED_DEVICES[device_type].get_random_state(extra_exposed_attributes=extra_exposed_attributes)
device_lines.append(format_device_line(
device_name=device_name,
friendly_name=friendly_name,
state=state
))
device_list.append(device_name)
device_types.add(device_type)
except Exception as ex:
print(f"bad device name: {choice}")
print(repr(ex))
return device_lines, list(device_types), list(extra_exposed_attributes)
def generate_static_example(action: dict, language: str, persona: str, max_devices: int = 32):
question = action["english_phrase"]
service_name = action["service_name"]
device_type = service_name.split(".")[0]
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])
# insert our target device somewhere random in the list
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,
friendly_name=friendly_name,
state=state
))
# gather a list of all available services
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"]
# choose a random device for this template
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])
# insert our target device somewhere random in the list
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
))
# gather a list of all available services with arguments
available_services = []
for x in set(device_types + template_device_types):
available_services.extend(SUPPORTED_DEVICES[x].get_all_services(extra_exposed_attributes))
# pick an appropriate response and generate the question
if len(template_device_types) == 1:
# TODO: pick correct resonse here (also probaly need to pass in language and persona)
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"]))
# TODO: support different "and" words per language
answer = " and ".join(answers)
# generate the list of service calls and 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"]
# choose a random device for this template
chosen_device = random.choice(stacks_of_device_names[device_type])
# build a random list of devices
device_list, device_types, extra_exposed_attributes = random_device_list(max_devices=max_devices, avoid_device_names=[ chosen_device["device_name"] ])
# insert our target device somewhere random in the list
index = random.randint(0, len(device_list))
# generate the question
question = question_template.replace("<device_name>", chosen_device["description"])
answer = answer_template.replace("<device_name>", chosen_device["description"])
# insert other templated variables
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}")
# gather a list of all available services
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")
# replace aliases with their actual values
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
# replace aliases with their actual values
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")
# TODO: add examples for ambiguous requests. asking a clarifying question
# TODO: make more randomized names for devices (random words or people's names)
# TODO: answer questions about more than one thing in the state list at once
# TODO: add examples for rooms/groups of devices. i.e. "turn off all the lights in the kitchen"
# TODO: add personas for responses. different system prompts should invoke different response tones (pirate, robot, and mean)
# TODO: add time, weather, and calendar/reminders (next 3 events?)
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() |