async def handle_add(channel, msg, attachments, **kwargs):
global LAST_SAVED_FILE
await status(msg='Adding image...')
if not attachments:
err_msg = config.format_string('Invalid use of {start_command_character}add. Usage: {start_command_character}add <class> <attachment> (No attachment given)')
await send_message(channel, err_msg)
return
attach = attachments[0]
try:
img_class = msg[0]
except:
err_msg = config.format_string('Invalid use of {start_command_character}add. Usage: {start_command_character}add <class> <attachment> (No class given)')
await send_message(channel, err_msg)
return
class_path = IMG_SAVE_PATH / 'train' / img_class
class_path.mkdir(exist_ok=True)
uploaded_filename = attach.filename
if uploaded_filename[uploaded_filename.rindex('.'):] not in SUPPORTED_FILETYPES:
err_msg = config.format_string('Invalid use of {start_command_character}add. Filetype must be one of {supported_filetypes}')
await send_message(channel, err_msg)
return
fname = class_path / unique_filename(uploaded_filename)
await attach.save(fname)
LAST_SAVED_FILE = fname
async def handle_predict(channel, msg, attachments, **kwargs):
await status(msg='predicting...')
user_message_id = kwargs.get('msg_id')
save_path = IMG_SAVE_PATH / 'predict'
save_path.mkdir(exist_ok=True)
if attachments:
attach = attachments[0]
uploaded_filename = attach.filename
if uploaded_filename[uploaded_filename.rindex('.'):].lower(
) not in SUPPORTED_FILETYPES:
err_msg = config.format_string(
'Invalid use of {start_command_character}predict. Filetype must be one of {supported_filetypes}'
)
await send_message(channel, err_msg)
return
fname = save_path / unique_filename(uploaded_filename)
await attach.save(fname)
else:
fname = save_path / unique_filename("")
try:
urllib.request.urlretrieve(msg[0], fname)
except ValueError:
err_msg = config.format_string(
'Invalid use of {start_command_character}predict. Usage: {start_command_character}predict <attachment, url> (No valid url given)'
)
await send_message(channel, err_msg)
return
except:
err_msg = config.format_string('Error occured upon loading url')
await send_message(channel, err_msg)
return
cmd = f'python learner.py --img_path "{fname}"'
if config.get('enable_auto_class_add'):
cmd += f' --auto_class_add_threshold {config.get("auto_class_add_threshold")} --message_id {user_message_id}'
stdout, stderr = await run_cmd(cmd)
if stdout:
stdout_msg = await send_message(channel, stdout)
if stderr:
await send_message(channel, f'[stderr]\n{stderr}')
# only add to the queue if the image was auto-added to the training set
if int(r.get(f'{user_message_id}_added')):
queue.append({
'user_message_id': user_message_id,
'bot_message_id': stdout_msg.id,
'auto_added_image': r.get(user_message_id)
})
async def handle_help(channel, msg, attachments, **kwargs):
msgs = []
start_command_character = config.get('start_command_character')
for command, command_info in COMMANDS.items():
command_info = config.format_string(command_info['info'])
msgs.append(f'{start_command_character}{command} - {command_info}')
await send_message(channel, '\n'.join(msgs))
async def handle_toploss(channel, msg, attachments, **kwargs):
err_msg = config.format_string(
'Top losses not found! Run {start_command_character}train first.')
await send_file(channel, 'top_losses.jpg', err_msg)
async def handle_cm(channel, msg, attachments, **kwargs):
err_msg = config.format_string(
'Confusion matrix not found! Run {start_command_character}train first.'
)
await send_file(channel, 'confusion_matrix.jpg', err_msg)