def start_pluto(port:Param("Port to Start Jupyter", type=int)=9000,
tunnel:Param("Tunel Type", type=str)='ngrok',
authtoken:Param("Tunnel Authtoken for ngrok", type=str)=None):
"Starts Pluto.jl reactive notebook"
if in_colab(): mount_drive()
remote = RemotePluto(port=port, tunnel=tunnel, authtoken=authtoken)
remote.launch()
def nbdev_clean_nbs(fname: Param("A notebook name or glob to convert",
str) = None,
clear_all: Param("Clean all metadata and outputs",
bool) = False,
disp: Param("Print the cleaned outputs", bool) = False,
read_input_stream: Param(
"Read input stram and not nb folder") = False):
"Clean all notebooks in `fname` to avoid merge conflicts"
#Git hooks will pass the notebooks in the stdin
if read_input_stream and sys.stdin:
input_stream = io.TextIOWrapper(sys.stdin.buffer, encoding='utf-8')
nb = json.load(input_stream)
clean_nb(nb, clear_all=clear_all)
_print_output(nb)
return
path = None
if fname is None:
try:
path = Config().path("nbs_path")
except Exception as e:
path = Path.cwd()
files = nbglob(fname=ifnone(fname, path),
recursive=True if fname is None else False)
for f in files:
if not str(f).endswith('.ipynb'): continue
nb = json.loads(open(f, 'r', encoding='utf-8').read())
clean_nb(nb, clear_all=clear_all)
if disp: _print_output(nb)
else:
x = json.dumps(nb, sort_keys=True, indent=1, ensure_ascii=False)
with io.open(f, 'w', encoding='utf-8') as f:
f.write(x)
f.write("\n")
def resize(input: Param(help="Input image path", type=str),
heigth: Param(help="heigth of the output image", type=int, default=256),
width: Param(help="with of the output image", type=int, default=256),
output: Param(help="Output image path", type=str)
) -> None:
img = Image.open(input)
img_resized = img.resize((width, heigth)).convert('RGB')
img_resized.save(output, "JPEG")
def start_code(port:Param("Port to Start Code", type=int)=10000,
password:Param("Password to Start Code", type=str)=None,
tunnel:Param("Tunel Type", type=str)='ngrok',
authtoken:Param("Tunnel Authtoken for ngrok", type=str)=None):
"Starts Code Server"
if in_colab(): mount_drive()
remote = RemoteCode(password=password, port=port, tunnel=tunnel, authtoken=authtoken)
remote.launch()
def nbdev_fix_merge(
fname: Param("A notebook filename to fix", str),
fast: Param(
"Fast fix: automatically fix the merge conflicts in outputs or metadata",
bool) = True,
trust_us: Param("Use local outputs/metadata when fast mergning",
bool) = True):
"Fix merge conflicts in notebook `fname`"
fix_conflicts(fname, fast=fast, trust_us=trust_us)
def nbdev_nb2md(
fname: Param("A notebook file name to convert", str),
dest: Param("The destination folder", str) = '.',
img_path: Param("Folder to export images to") = "",
jekyll: Param("To use jekyll metadata for your markdown file or not",
bool_arg) = False,
):
"Convert the notebook in `fname` to a markdown file"
nb_detach_cells(fname, dest=img_path)
convert_md(fname, dest, jekyll=jekyll, img_path=img_path)
def av_i2v(
images: Param("Path to the images folder or list of images"),
out_path: Param("Output output video path", str) = None,
fps: Param("Frame per second", int) = 30,
no_sort: Param("Sort images", bool) = False,
max_num_frame: Param("Max num of frame", int) = 10e12,
resize_rate: Param("Resize rate", float) = 1,
with_text: Param("Add additional index to image when writing vidoe",
bool) = False,
text_is_date: Param("Add additional index to image when writing vidoe",
bool) = False,
verbose: Param("Print...", bool) = True,
):
return images_to_video(
images,
out_path,
fps,
no_sort,
max_num_frame,
resize_rate,
with_text,
text_is_date,
verbose,
)
def nbdev_bump_version(part: Param("Part of version to bump", int) = 2):
"Increment version in `settings.py` by one"
cfg = Config()
print(f'Old version: {cfg.version}')
cfg.d['version'] = bump_version(Config().version, part)
cfg.save()
update_version()
print(f'New version: {cfg.version}')
def nbdev_build_docs(
fname: Param("A notebook name or glob to convert", str) = None,
force_all: Param("Rebuild even notebooks that haven't changed",
bool_arg) = False,
mk_readme: Param("Also convert the index notebook to README",
bool_arg) = True,
n_workers: Param("Number of workers to use", int) = None,
pause: Param(
"Pause time (in secs) between notebooks to avoid race conditions",
float) = 0.5):
"Build the documentation by converting notebooks mathing `fname` to html"
notebook2html(fname=fname,
force_all=force_all,
n_workers=n_workers,
pause=pause)
if fname is None: make_sidebar()
if mk_readme: make_readme()
def nbdev_trust_nbs(fname: Param("A notebook name or glob to convert",
str) = None,
force_all: Param(
"Trust even notebooks that haven't changed",
bool) = False):
"Trust noteboks matching `fname`"
check_fname = Config().nbs_path / ".last_checked"
last_checked = os.path.getmtime(
check_fname) if check_fname.exists() else None
files = Config().nbs_path.glob(
'**/*.ipynb') if fname is None else glob.glob(fname)
for fn in files:
if last_checked and not force_all:
last_changed = os.path.getmtime(fn)
if last_changed < last_checked: continue
nb = read_nb(fn)
if not NotebookNotary().check_signature(nb): NotebookNotary().sign(nb)
check_fname.touch(exist_ok=True)
def nbdev_new(name: Param("A directory to create the project in", str),
template_git_repo: Param("url to template repo",
str) = _template_git_repo):
"Create a new nbdev project with a given name."
path = Path(f"./{name}").absolute()
if path.is_dir():
print(f"Directory {path} already exists. Aborting.")
return
print(f"Creating a new nbdev project {name}.")
def rmtree_onerror(func, path, exc_info):
"Use with `shutil.rmtree` when you need to delete files/folders that might be read-only."
os.chmod(path, stat.S_IWRITE)
func(path)
try:
subprocess.run(['git', 'clone', f'{template_git_repo}', f'{path}'],
check=True,
timeout=5000)
# Note: on windows, .git is created with a read-only flag
shutil.rmtree(path / ".git", onerror=rmtree_onerror)
subprocess.run("git init".split(), cwd=path, check=True)
subprocess.run("git add .".split(), cwd=path, check=True)
subprocess.run("git commit -am \"Initial\"".split(),
cwd=path,
check=True)
print(
f"Created a new repo for project {name}. Please edit settings.ini and run nbdev_build_lib to get started."
)
except Exception as e:
print("An error occured while copying nbdev project template:")
print(e)
if os.path.isdir(path):
try:
shutil.rmtree(path, onerror=rmtree_onerror)
except Exception as e2:
print(
f"An error occured while cleaning up. Failed to delete {path}:"
)
print(e2)
def nbdev_read_nbs(fname: Param("A notebook name or glob to convert",
str) = None):
"Check all notebooks matching `fname` can be opened"
files = Config().nbs_path.glob(
'**/*.ipynb') if fname is None else glob.glob(fname)
for nb in files:
try:
_ = read_nb(nb)
except Exception as e:
print(f"{nb} is corrupted and can't be opened.")
raise e
def fsize(fldr:Param("Pathstring of folder to measure size")="."):
path = pathlib.Path(fldr).resolve()
app_logger.info(f"Current folder: {path}")
with pd.option_context('display.max_rows', None,
'display.max_columns', None,
'display.width', 10000,
'display.precision', 3,
'display.colheader_justify', 'left'):
df = pd.DataFrame([{"Name":p.name, "Size":_convert_size(p.stat().st_size), "Bytes":p.stat().st_size} for p in path.ls()])
app_logger.info(f"Current foldersize: {_convert_size(df['Bytes'].sum())}")
print(df.sort_values(by='Bytes').drop('Bytes', axis=1).reset_index(drop=True))
def download_file_from_google_drive(
id_or_link: Param("Link or file id"),
destination: Param("Path to the save file")):
if "https" in id_or_link:
x = id_or_link
id = x.split("/")[x.split("/").index("d") + 1]
else:
id = id_or_link
logger.info(f"Download from id: {id}")
import requests
def get_confirm_token(response):
for key, value in response.cookies.items():
if key.startswith('download_warning'):
return value
return None
def save_response_content(response, destination):
CHUNK_SIZE = 32768
with open(destination, "wb") as f:
for chunk in response.iter_content(CHUNK_SIZE):
if chunk: # filter out keep-alive new chunks
f.write(chunk)
URL = "https://docs.google.com/uc?export=download"
session = requests.Session()
response = session.get(URL, params={'id': id}, stream=True)
token = get_confirm_token(response)
if token:
params = {'id': id, 'confirm': token}
response = session.get(URL, params=params, stream=True)
save_response_content(response, destination)
logger.info(f"Done -> {destination}")
return osp.abspath(destination)
def detalhar_issue(
inspecao: Param("Número da Inspeção a ser relatada", str),
login: Param("Login Anatel do Usuário", str) = None,
senha: Param("Senha Utilizada nos Sistemas Interativos da Anatel", str) = None,
fiscaliza: Param(
"Objeto Redmine logado, opcional ao login e senha", Redmine
) = None,
teste: Param("Indica se o relato será de teste", bool_arg) = True,
) -> dict:
"""Recebe número da inspeção `inspecao`, o login e senha ou opcionalmente objeto Redmine logado `fiscaliza`
inspecao: str - Número da Inspeção a ser relatada
login: str - Login Anatel do Usuário
senha: str - Senha Utilizada nos Sistemas Interativos da
fiscaliza: Redmine - Objeto Redmine logado, opcional ao login e senha
teste: bool - Caso verdadeiro o Fiscaliza de Teste ( Homologação ) é utilizado
Returns:
dict: Retorna um dicionário com a Situação Atual e campos preenchidos da Inspeção
"""
if not login or not senha:
assert (
fiscaliza is not None
), "Para logar no Fiscaliza é preciso login e senha ou o objeto fiscaliza"
valida_fiscaliza(fiscaliza)
else:
fiscaliza = auth_user(login, senha, teste)
if not teste:
hm2prod()
result = dict()
issue = fiscaliza.issue.get(inspecao, include=["relations", "attachments"])
result.update({k: str(getattr(issue, k, "")) for k in FIELDS})
if custom_fields := getattr(issue, "custom_fields", None):
custom_fields = list(custom_fields)
for field in custom_fields:
key = field.id
result[ID2FIELD.get(key, utf2ascii(field.name))] = getattr(field, "value")
def start_jupyter(port:Param("Port to Start Jupyter", type=int)=9000,
ui:Param("Interface to start", type=str)='notebook',
tunnel:Param("Tunel Type", type=str)='ngrok',
authtoken:Param("Tunnel Authtoken for ngrok", type=str)=None,
subdomain:Param("Add a subdomain only for localtunnel", type=str)=None,
install_code:Param("Flag to install code", type=bool)=False,
install_julia:Param("Flag to install code", type=bool)=False,
):
"Starts Jupyter"
if in_colab():
print("Mounting Drive")
mount_drive()
remote = RemoteJupyter(port=port,
ui=ui,
tunnel=tunnel,
authtoken=authtoken,
subdomain=subdomain,
install_code=install_code,
install_julia=install_julia
)
remote.launch()
def nbdev_test_nbs(
fname: Param("A notebook name or glob to convert", str) = None,
flags: Param("Space separated list of flags", str) = None,
n_workers: Param("Number of workers to use", int) = None,
verbose: Param("Print errors along the way", bool) = True,
timing: Param("Timing each notebook to see the ones are slow",
bool) = False,
pause: Param(
"Pause time (in secs) between notebooks to avoid race conditions",
float) = 0.5):
"Test in parallel the notebooks matching `fname`, passing along `flags`"
if flags is not None: flags = flags.split(' ')
if fname is None:
files = [
f for f in Config().nbs_path.glob('*.ipynb')
if not f.name.startswith('_')
]
else:
files = glob.glob(fname)
files = [Path(f).absolute() for f in sorted(files)]
if n_workers is None:
n_workers = 0 if len(files) == 1 else min(num_cpus(), 8)
# make sure we are inside the notebook folder of the project
os.chdir(Config().nbs_path)
results = parallel(_test_one,
files,
flags=flags,
verbose=verbose,
n_workers=n_workers,
pause=pause)
passed, times = [r[0] for r in results], [r[1] for r in results]
if all(passed): print("All tests are passing!")
else:
msg = "The following notebooks failed:\n"
raise Exception(
msg + '\n'.join([f.name for p, f in zip(passed, files) if not p]))
if timing:
for i, t in sorted(enumerate(times), key=lambda o: o[1], reverse=True):
print(f"Notebook {files[i].name} took {int(t)} seconds")
def relatar_inspecao(
inspecao: Param("Número da Inspeção a ser relatada", str),
login: Param("Login Anatel do Usuário", str),
senha: Param("Senha Utilizada nos Sistemas Interativos da Anatel", str),
dados: Param("Dicionário já validado com os Dados a serem relatados"),
teste: Param("Indica se o relato será de teste", bool_arg) = True,
parar_em: Param(
"String indicando até onde o relato deve ser avançado", str
) = "Relatada",
substituir_relatorio: Param(
"Substituir o relatório criado caso houver?", bool_arg
) = False,
):
"""Relata a inspeção `inspecao` com os dados constantes no dicionário `dados`"""
assert (
parar_em in SITUACAO.keys()
), f"Forneça um dos valores para parar_em {SITUACAO.keys()}"
if not isinstance(dados, dict):
try:
path = Path(dados)
assert path.exists(), f"O caminho retornado não existe: {path}!"
assert (
path.is_file()
), f"O caminho retornado {path} não corresponde a um arquivo!"
except TypeError as e:
raise ValueError(f"O caminho de arquivo inserido {dados} é inválido") from e
if path.suffix == ".json":
dados = json.loads(path.read_text())
else:
raise TypeError(f"Formato de Arquivo Desconhecido {path.suffix}")
dados = dados.copy() # Não altera o dicionário original
console = Console()
fiscaliza = auth_user(login, senha, teste)
console.print("Usuário Autenticado com Sucesso :thumbs_up:", style="bold green")
if issue_type(inspecao, fiscaliza) == "Ação":
console.print(
f":exclamation: O número de inspeção inserido {inspecao} corresponde a uma [bold red]Ação[/bold red] :exclamation:"
)
return
acao = insp2acao(inspecao, fiscaliza)
console.print(f"Inspeção {inspecao} vinculada à Ação {acao['id_ACAO']}")
with console.status("Resgatando Situação Atual da Inspeção...", spinner="pong"):
status_atual = detalhar_issue(
inspecao=inspecao, fiscaliza=fiscaliza, teste=teste
)
console.print(
f":white_check_mark: [cyan]Estado Atual: [bold green]{status_atual['status']}"
)
atual = status_atual["status"]
lista_status = list(SITUACAO.keys())
index = lista_status.index(atual)
lista_status = lista_status[index : lista_status.index(parar_em) + 1]
if relatorio := status_atual.get("Relatorio_de_Monitoramento"):
if not substituir_relatorio:
console.print(
f"[bold red] :warning: Já existe um Relatório de Monitoramento criado, esse campo não será atualizado :warning:"
)
del dados["Html"]
else:
console.print(
f":wastebasket: [red] Foi solicitado a substituição do Relatório, é preciso atualizar a inspeção para descartá-lo primeiramente. Aguarde..."
)
temp = dados.copy()
temp["Gerar_Relatorio"] = {"id": FIELD2ID["Gerar_Relatorio"], "value": 0}
temp["Relatorio_de_Monitoramento"] = {
"id": FIELD2ID["Relatorio_de_Monitoramento"],
"value": "",
}
temp["Html"] = {"id": FIELD2ID["Html"], "value": ""}
atualiza_fiscaliza(inspecao, temp, fiscaliza, status=atual)
# atualiza_fiscaliza(inspecao, temp, fiscaliza, status=atual)
relatorio = None
def nbdev_update_lib(fname: Param("A notebook name or glob to convert",
str) = None):
"Propagates any change in the modules matching `fname` to the notebooks that created them"
script2notebook(fname=fname)
def process_data(param1: Param("The message", str)):
"""Function for processing data related to the library."""
pass
def nbdev_build_lib(fname: Param("A notebook name or glob to convert",
str) = None):
"Export notebooks matching `fname` to python modules"
write_tmpls()
notebook2script(fname=fname)
def train(param1: Param("The message", str)):
"""Function for training models related to the library."""
pass
def nbdev_detach(path_nb: Param("Path to notebook"),
dest: Param("Destination folder", str) = "",
use_img: Param("Convert markdown images to img tags",
bool_arg) = False):
"Export cell attachments to `dest` and update references"
nb_detach_cells(path_nb, dest=dest, use_img=use_img)
def validar_dicionario(
data_dict: Param("Dicionário de Dados ou Caminho para o arquivo .json"),
inspecao: Param("Número da Inspeção a ser relatada", str),
login: Param("Login Anatel do Usuário", str) = None,
senha: Param("Senha Utilizada nos Sistemas Interativos da Anatel", str) = None,
fiscaliza: Param(
"Objeto Redmine logado, opcional ao login e senha", Redmine
) = None,
teste: Param(
"Caso verdadeiro o Fiscaliza de Teste ( Homologação ) é utilizado", bool_arg
) = True,
save_path: Param("Caminho para salvar o dicionário formatado", str) = None,
) -> dict:
"""Valida as informações de data_dict e as formata como exigido pela API do Redmine.
Opcionalmente salva o dicionário serializado como .json caso seja passado um `save_path` válido
Returns: dicionário com os dados formatados
"""
keys = list(DICT_FIELDS.keys())
if not isinstance(data_dict, dict):
try:
path = Path(data_dict)
assert path.exists(), f"O caminho retornado não existe: {path}!"
assert (
path.is_file()
), f"O caminho retornado {path} não corresponde a um arquivo!"
except TypeError as e:
raise ValueError(
f"O caminho de arquivo inserido {data_dict} é inválido"
) from e
if path.suffix == ".json":
data_dict = json.loads(path.read_text())
else:
raise TypeError(f"Formato de Arquivo Desconhecido {path.suffix}")
if not set(data_dict.keys()).issubset(keys):
raise ValueError(
f"As chaves seguintes são desconhecidas ou estão com o nome diferente do esperado: \
{set(data_dict.keys()).difference(keys)}"
)
if not login or not senha:
assert (
fiscaliza is not None
), "Para logar no Fiscaliza é preciso login e senha ou o objeto fiscaliza"
valida_fiscaliza(fiscaliza)
else:
fiscaliza = auth_user(login, senha, teste)
if teste:
prod2hm()
else:
hm2prod()
issue = fiscaliza.issue.get(inspecao, include=["relations", "attachments"])
issue_id = issue.id
date_pattern = "([2]\d{3})-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01])"
d = {k: v for k, v in data_dict.items() if k in DICT_FIELDS.keys()}
id2name, name2id = issue2users(issue_id, fiscaliza)
console = Console()
key = keys[0]
if classe := d.get(key):
d[key] = check_update(key, classe, DICT_FIELDS[key], CLASSE, True)
def nb2py(
nb: Param(
"absolute or relative full path to the notebook you want to convert to a python script",
str) = None,
folder: Param(
"absolute or relative path to folder of the script you will create. Defaults to current nb's directory",
str) = None,
name: Param(
"name of the script you want to create. Defaults to current nb name .ipynb by .py",
str) = None,
save: Param("saves the nb before converting it to a script",
store_false) = True,
run: Param("import and run the script", store_true) = False,
verbose: Param("controls verbosity", store_false) = True,
):
"Converts a notebook to a python script in a predefined folder."
# make sure drive is mounted when using Colab
if is_colab(): maybe_mount_gdrive()
# nb path & name
if nb is not None:
nb_path = Path(nb)
nb_path = nb_path.parent / f"{nb_path.stem}.ipynb"
else:
try:
nb_path = get_nb_path()
except:
print(
"nb2py couldn't get the nb name. Pass it as an nb argument and rerun nb2py."
)
return
if nb_path is None:
print(
"nb2py couldn't get the nb name. Pass it as an nb argument and rerun nb2py."
)
return
nb_name = nb_path.name
assert os.path.isfile(
nb_path
), f"nb2py couldn't find {nb_path}. Please, confirm the path is correct."
# save nb: only those that are run from the notebook itself
if save and not is_colab() and nb is None:
try:
save_nb(nb_name)
except:
print(
f"nb2py couldn't save the nb automatically. It will used last saved at {to_local_time(os.path.getmtime(nb_name))}"
)
# script path & name
if folder is not None: folder = Path(folder)
else: folder = nb_path.parent
if name is not None: name = f"{Path(name).stem}.py"
else: name = f"{nb_path.stem}.py"
script_path = folder / name
# delete file if exists and create script_path folder if doesn't exist
if os.path.exists(script_path): os.remove(script_path)
script_path.parent.mkdir(parents=True, exist_ok=True)
# Write script header
with open(script_path, 'w') as f:
f.write(f'# -*- coding: utf-8 -*-\n')
f.write(f'"""{nb_name}\n\n')
f.write(f'Automatically generated.\n\n')
if nb_path is not None:
f.write(f'Original file is located at:\n')
f.write(f' {nb_path}\n')
f.write(f'"""')
# identify convertible cells (excluding empty and those with hide flags)
for i in range(10):
try:
with open(Path(nb_path), 'r', encoding='utf8') as f:
nb = nbformat.reads(f.read(), as_version=4)
break
except:
time.sleep(.5)
idxs = _get_unhidden_cells(nb['cells'])
pnb = nbformat.from_dict(nb)
pnb['cells'] = [pnb['cells'][i] for i in idxs]
# clean up cells and write script
sep = '\n' * 2
for i, cell in enumerate(pnb['cells']):
source_str = cell['source'].replace('\r', '')
code_lines = source_str.split('\n')
if code_lines == ['']: continue
while code_lines[0] == '':
code_lines = code_lines[1:]
while code_lines[-1] == '':
code_lines = code_lines[:-1]
cl = []
for j in range(len(code_lines)):
if list(set(code_lines[j].split(" "))) == ['']:
code_lines[j] = ''
if i == 0 or code_lines[j - 1] != '' or code_lines[j] != '':
cl.append(code_lines[j])
code_lines = cl
code = sep + '\n'.join(code_lines)
with open(script_path, 'a', encoding='utf8') as f:
f.write(code)
# check script exists
assert os.path.isfile(
script_path
), f"an error occurred during the export and {script_path} doesn't exist"
if verbose:
print(f"{nb_name} converted to {script_path}")
if run: runpy.run_path(script_path)
return str(script_path)
def reproduce(param1: Param("The message", str)):
"""Function for reproducing results related to the library."""
pass
def evaluate(param1: Param("The message", str)):
"""Function for evaluating models related to the library."""
pass
def play(n: Param("The number of enemies you want to encounter.", int) = 10):
player = init_player()
game_loop(player, n)
def v2i(input_video: Param("", str),
output_dir: Param("", str) = None,
skip: Param("", int) = 1):
return video_to_images(input_video, output_dir, skip)
