import asyncio
import functools
import inspect
import json
import math
import os
import random
import re
import sys
import threading
import time
import uuid
import warnings
from argparse import ArgumentParser, Namespace
from collections.abc import MutableMapping
from datetime import datetime
from itertools import islice
from types import SimpleNamespace
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
Iterator,
List,
Optional,
Sequence,
Set,
Tuple,
TypeVar,
Union,
)
from packaging import version as pckg_version
from rich.console import Console
from jina import __docarray_version__, __windows__
__all__ = [
'batch_iterator',
'parse_arg',
'random_port',
'random_identity',
'random_uuid',
'expand_env_var',
'colored',
'ArgNamespace',
'is_valid_local_config_source',
'cached_property',
'typename',
'get_public_ip',
'get_internal_ip',
'convert_tuple_to_list',
'run_async',
'deprecated_alias',
'countdown',
'CatchAllCleanupContextManager',
'download_mermaid_url',
'get_readable_size',
'get_or_reuse_loop',
'T',
'get_rich_console',
'docarray_graphql_compatible',
]
if TYPE_CHECKING:
from docarray import DocumentArray
T = TypeVar('T')
[docs]def deprecated_alias(**aliases):
"""
Usage, kwargs with key as the deprecated arg name and value be a tuple, (new_name, deprecate_level).
With level 0 means warning, level 1 means exception.
For example:
.. highlight:: python
.. code-block:: python
@deprecated_alias(
input_fn=('inputs', 0),
buffer=('input_fn', 0),
callback=('on_done', 1),
output_fn=('on_done', 1),
)
def some_function(inputs, input_fn, on_done):
pass
:param aliases: maps aliases to new arguments
:return: wrapper
"""
from jina.excepts import NotSupportedError
def _rename_kwargs(func_name: str, kwargs, aliases):
"""
Raise warnings or exceptions for deprecated arguments.
:param func_name: Name of the function.
:param kwargs: key word arguments from the function which is decorated.
:param aliases: kwargs with key as the deprecated arg name and value be a tuple, (new_name, deprecate_level).
"""
for alias, new_arg in aliases.items():
if not isinstance(new_arg, tuple):
raise ValueError(
f'{new_arg} must be a tuple, with first element as the new name, '
f'second element as the deprecated level: 0 as warning, 1 as exception'
)
if alias in kwargs:
new_name, dep_level = new_arg
if new_name in kwargs:
raise NotSupportedError(
f'{func_name} received both {alias} and {new_name}'
)
if dep_level == 0:
warnings.warn(
f'`{alias}` is renamed to `{new_name}` in `{func_name}()`, the usage of `{alias}` is '
f'deprecated and will be removed in the next version.',
DeprecationWarning,
)
kwargs[new_name] = kwargs.pop(alias)
elif dep_level == 1:
raise NotSupportedError(f'{alias} has been renamed to `{new_name}`')
def deco(f):
"""
Set Decorator function.
:param f: function the decorator is used for
:return: wrapper
"""
@functools.wraps(f)
def wrapper(*args, **kwargs):
"""
Set wrapper function.
:param args: wrapper arguments
:param kwargs: wrapper key word arguments
:return: result of renamed function.
"""
_rename_kwargs(f.__name__, kwargs, aliases)
return f(*args, **kwargs)
return wrapper
return deco
def deprecated_method(new_function_name):
def deco(func):
def wrapper(*args, **kwargs):
warnings.warn(
f'`{func.__name__}` is renamed to `{new_function_name}`, the usage of `{func.__name__}` is '
f'deprecated and will be removed.',
DeprecationWarning,
)
return func(*args, **kwargs)
return wrapper
return deco
[docs]def get_readable_size(num_bytes: Union[int, float]) -> str:
"""
Transform the bytes into readable value with different units (e.g. 1 KB, 20 MB, 30.1 GB).
:param num_bytes: Number of bytes.
:return: Human readable string representation.
"""
num_bytes = int(num_bytes)
if num_bytes < 1024:
return f'{num_bytes} Bytes'
elif num_bytes < 1024 ** 2:
return f'{num_bytes / 1024:.1f} KB'
elif num_bytes < 1024 ** 3:
return f'{num_bytes / (1024 ** 2):.1f} MB'
else:
return f'{num_bytes / (1024 ** 3):.1f} GB'
[docs]def batch_iterator(
data: Iterable[Any],
batch_size: int,
axis: int = 0,
) -> Iterator[Any]:
"""
Get an iterator of batches of data.
For example:
.. highlight:: python
.. code-block:: python
for req in batch_iterator(data, batch_size, split_over_axis):
pass # Do something with batch
:param data: Data source.
:param batch_size: Size of one batch.
:param axis: Determine which axis to iterate for np.ndarray data.
:yield: data
:return: An Iterator of batch data.
"""
import numpy as np
if not batch_size or batch_size <= 0:
yield data
return
if isinstance(data, np.ndarray):
_l = data.shape[axis]
_d = data.ndim
sl = [slice(None)] * _d
if batch_size >= _l:
yield data
return
for start in range(0, _l, batch_size):
end = min(_l, start + batch_size)
sl[axis] = slice(start, end)
yield data[tuple(sl)]
elif isinstance(data, Sequence):
if batch_size >= len(data):
yield data
return
for _ in range(0, len(data), batch_size):
yield data[_ : _ + batch_size]
elif isinstance(data, Iterable):
# as iterator, there is no way to know the length of it
iterator = iter(data)
while True:
chunk = tuple(islice(iterator, batch_size))
if not chunk:
return
yield chunk
else:
raise TypeError(f'unsupported type: {type(data)}')
[docs]def parse_arg(v: str) -> Optional[Union[bool, int, str, list, float]]:
"""
Parse the arguments from string to `Union[bool, int, str, list, float]`.
:param v: The string of arguments
:return: The parsed arguments list.
"""
m = re.match(r'^[\'"](.*)[\'"]$', v)
if m:
return m.group(1)
if v.startswith('[') and v.endswith(']'):
# function args must be immutable tuples not list
tmp = v.replace('[', '').replace(']', '').strip().split(',')
if len(tmp) > 0:
return [parse_arg(vv.strip()) for vv in tmp]
else:
return []
try:
v = int(v) # parse int parameter
except ValueError:
try:
v = float(v) # parse float parameter
except ValueError:
if len(v) == 0:
# ignore it when the parameter is empty
v = None
elif v.lower() == 'true': # parse boolean parameter
v = True
elif v.lower() == 'false':
v = False
return v
[docs]def countdown(t: int, reason: str = 'I am blocking this thread') -> None:
"""
Display the countdown in console.
For example:
.. highlight:: python
.. code-block:: python
countdown(
10, reason=colored('re-fetch access token', 'cyan', attrs=['bold', 'reverse'])
)
:param t: Countdown time.
:param reason: A string message of reason for this Countdown.
"""
try:
sys.stdout.write('\n')
sys.stdout.flush()
while t > 0:
t -= 1
msg = f'⏳ {colored("%3d" % t, "yellow")}s left: {reason}'
sys.stdout.write(f'\r{msg}')
sys.stdout.flush()
time.sleep(1)
sys.stdout.write('\n')
sys.stdout.flush()
except KeyboardInterrupt:
sys.stdout.write('no more patience? good bye!')
_random_names = (
(
'first',
'great',
'local',
'small',
'right',
'large',
'young',
'early',
'major',
'clear',
'black',
'whole',
'third',
'white',
'short',
'human',
'royal',
'wrong',
'legal',
'final',
'close',
'total',
'prime',
'happy',
'sorry',
'basic',
'aware',
'ready',
'green',
'heavy',
'extra',
'civil',
'chief',
'usual',
'front',
'fresh',
'joint',
'alone',
'rural',
'light',
'equal',
'quiet',
'quick',
'daily',
'urban',
'upper',
'moral',
'vital',
'empty',
'brief',
),
(
'world',
'house',
'place',
'group',
'party',
'money',
'point',
'state',
'night',
'water',
'thing',
'order',
'power',
'court',
'level',
'child',
'south',
'staff',
'woman',
'north',
'sense',
'death',
'range',
'table',
'trade',
'study',
'other',
'price',
'class',
'union',
'value',
'paper',
'right',
'voice',
'stage',
'light',
'march',
'board',
'month',
'music',
'field',
'award',
'issue',
'basis',
'front',
'heart',
'force',
'model',
'space',
'peter',
),
)
def random_name() -> str:
"""
Generate a random name from list.
:return: A Random name.
"""
return '_'.join(random.choice(_random_names[j]) for j in range(2))
assigned_ports = set()
unassigned_ports = []
DEFAULT_MIN_PORT = 49153
MAX_PORT = 65535
def reset_ports():
def _get_unassigned_ports():
# if we are running out of ports, lower default minimum port
if MAX_PORT - DEFAULT_MIN_PORT - len(assigned_ports) < 100:
min_port = int(os.environ.get('JINA_RANDOM_PORT_MIN', '16384'))
else:
min_port = int(
os.environ.get('JINA_RANDOM_PORT_MIN', str(DEFAULT_MIN_PORT))
)
max_port = int(os.environ.get('JINA_RANDOM_PORT_MAX', str(MAX_PORT)))
return set(range(min_port, max_port + 1)) - set(assigned_ports)
unassigned_ports.clear()
assigned_ports.clear()
unassigned_ports.extend(_get_unassigned_ports())
random.shuffle(unassigned_ports)
[docs]def random_port() -> Optional[int]:
"""
Get a random available port number.
:return: A random port.
"""
def _random_port():
import socket
def _check_bind(port):
with socket.socket() as s:
try:
s.bind(('', port))
s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
return port
except OSError:
return None
_port = None
if len(unassigned_ports) == 0:
reset_ports()
for idx, _port in enumerate(unassigned_ports):
if _check_bind(_port) is not None:
break
else:
raise OSError(
f'can not find an available port in {len(unassigned_ports)} unassigned ports, assigned already {len(assigned_ports)} ports'
)
int_port = int(_port)
unassigned_ports.pop(idx)
assigned_ports.add(int_port)
return int_port
try:
return _random_port()
except OSError:
assigned_ports.clear()
unassigned_ports.clear()
return _random_port()
[docs]def random_identity(use_uuid1: bool = False) -> str:
"""
Generate random UUID.
..note::
A MAC address or time-based ordering (UUID1) can afford increased database performance, since it's less work
to sort numbers closer-together than those distributed randomly (UUID4) (see here).
A second related issue, is that using UUID1 can be useful in debugging, even if origin data is lost or not
explicitly stored.
:param use_uuid1: use UUID1 instead of UUID4. This is the default Document ID generator.
:return: A random UUID.
"""
return random_uuid(use_uuid1).hex
[docs]def random_uuid(use_uuid1: bool = False) -> uuid.UUID:
"""
Get a random UUID.
:param use_uuid1: Use UUID1 if True, else use UUID4.
:return: A random UUID.
"""
return uuid.uuid1() if use_uuid1 else uuid.uuid4()
[docs]def expand_env_var(v: str) -> Optional[Union[bool, int, str, list, float]]:
"""
Expand the environment variables.
:param v: String of environment variables.
:return: Parsed environment variables.
"""
if isinstance(v, str):
return parse_arg(os.path.expandvars(v))
else:
return v
def expand_dict(
d: Dict, expand_fn=expand_env_var, resolve_cycle_ref=True
) -> Dict[str, Any]:
"""
Expand variables from YAML file.
:param d: Target Dict.
:param expand_fn: Parsed environment variables.
:param resolve_cycle_ref: Defines if cyclic references should be resolved.
:return: Expanded variables.
"""
expand_map = SimpleNamespace()
pat = re.compile(r'{.+}|\$[a-zA-Z0-9_]*\b')
def _scan(sub_d: Union[Dict, List], p):
if isinstance(sub_d, dict):
for k, v in sub_d.items():
if isinstance(v, dict):
p.__dict__[k] = SimpleNamespace()
_scan(v, p.__dict__[k])
elif isinstance(v, list):
p.__dict__[k] = list()
_scan(v, p.__dict__[k])
else:
p.__dict__[k] = v
elif isinstance(sub_d, list):
for idx, v in enumerate(sub_d):
if isinstance(v, dict):
p.append(SimpleNamespace())
_scan(v, p[idx])
elif isinstance(v, list):
p.append(list())
_scan(v, p[idx])
else:
p.append(v)
def _replace(sub_d: Union[Dict, List], p):
if isinstance(sub_d, Dict):
for k, v in sub_d.items():
if isinstance(v, (dict, list)):
_replace(v, p.__dict__[k])
else:
if isinstance(v, str) and pat.findall(v):
sub_d[k] = _sub(v, p)
elif isinstance(sub_d, List):
for idx, v in enumerate(sub_d):
if isinstance(v, (dict, list)):
_replace(v, p[idx])
else:
if isinstance(v, str) and pat.findall(v):
sub_d[idx] = _sub(v, p)
def _sub(v, p):
if resolve_cycle_ref:
try:
v = v.format(root=expand_map, this=p)
except KeyError:
pass
return expand_fn(v)
_scan(d, expand_map)
_replace(d, expand_map)
return d
_ATTRIBUTES = {
'bold': 1,
'dark': 2,
'underline': 4,
'blink': 5,
'reverse': 7,
'concealed': 8,
}
_HIGHLIGHTS = {
'on_grey': 40,
'on_red': 41,
'on_green': 42,
'on_yellow': 43,
'on_blue': 44,
'on_magenta': 45,
'on_cyan': 46,
'on_white': 47,
}
_COLORS = {
'black': 30,
'red': 31,
'green': 32,
'yellow': 33,
'blue': 34,
'magenta': 35,
'cyan': 36,
'white': 37,
}
_RESET = '\033[0m'
if __windows__:
os.system('color')
[docs]def colored(
text: str,
color: Optional[str] = None,
on_color: Optional[str] = None,
attrs: Optional[Union[str, list]] = None,
) -> str:
"""
Give the text with color.
:param text: The target text.
:param color: The color of text. Chosen from the following.
{
'grey': 30,
'red': 31,
'green': 32,
'yellow': 33,
'blue': 34,
'magenta': 35,
'cyan': 36,
'white': 37
}
:param on_color: The on_color of text. Chosen from the following.
{
'on_grey': 40,
'on_red': 41,
'on_green': 42,
'on_yellow': 43,
'on_blue': 44,
'on_magenta': 45,
'on_cyan': 46,
'on_white': 47
}
:param attrs: Attributes of color. Chosen from the following.
{
'bold': 1,
'dark': 2,
'underline': 4,
'blink': 5,
'reverse': 7,
'concealed': 8
}
:return: Colored text.
"""
if 'JINA_LOG_NO_COLOR' not in os.environ:
fmt_str = '\033[%dm%s'
if color:
text = fmt_str % (_COLORS[color], text)
if on_color:
text = fmt_str % (_HIGHLIGHTS[on_color], text)
if attrs:
if isinstance(attrs, str):
attrs = [attrs]
if isinstance(attrs, list):
for attr in attrs:
text = fmt_str % (_ATTRIBUTES[attr], text)
text += _RESET
return text
def colored_rich(
text: str,
color: Optional[str] = None,
on_color: Optional[str] = None,
attrs: Optional[Union[str, list]] = None,
) -> str:
"""
Give the text with color. You should only use it when printing with rich print. Othersiwe please see the colored
function
:param text: The target text
:param color: The color of text
:param on_color: The on color of text: ex on yellow
:param attrs: Attributes of color
:return: Colored text.
"""
if 'JINA_LOG_NO_COLOR' not in os.environ:
if color:
text = _wrap_text_in_rich_bracket(text, color)
if on_color:
text = _wrap_text_in_rich_bracket(text, on_color)
if attrs:
if isinstance(attrs, str):
attrs = [attrs]
if isinstance(attrs, list):
for attr in attrs:
text = _wrap_text_in_rich_bracket(text, attr)
return text
def _wrap_text_in_rich_bracket(text: str, wrapper: str):
return f'[{wrapper}]{text}[/{wrapper}]'
def warn_unknown_args(unknown_args: List[str]):
"""Creates warnings for all given arguments.
:param unknown_args: arguments that are possibly unknown to Jina
"""
from cli.lookup import _build_lookup_table
all_args = _build_lookup_table()[0]
has_migration_tip = False
real_unknown_args = []
warn_strs = []
for arg in unknown_args:
if arg.replace('--', '') not in all_args:
from jina.parsers.deprecated import get_deprecated_replacement
new_arg = get_deprecated_replacement(arg)
if new_arg:
if not has_migration_tip:
warn_strs.append('Migration tips:')
has_migration_tip = True
warn_strs.append(f'\t`{arg}` has been renamed to `{new_arg}`')
real_unknown_args.append(arg)
if real_unknown_args:
warn_strs = [f'ignored unknown argument: {real_unknown_args}.'] + warn_strs
warnings.warn(''.join(warn_strs))
[docs]class ArgNamespace:
"""Helper function for argparse.Namespace object."""
[docs] @staticmethod
def kwargs2list(kwargs: Dict) -> List[str]:
"""
Convert dict to an argparse-friendly list.
:param kwargs: dictionary of key-values to be converted
:return: argument list
"""
args = []
from jina.serve.executors import BaseExecutor
for k, v in kwargs.items():
k = k.replace('_', '-')
if v is not None:
if isinstance(v, bool):
if v:
args.append(f'--{k}')
elif isinstance(v, list): # for nargs
args.extend([f'--{k}', *(str(vv) for vv in v)])
elif isinstance(v, dict):
args.extend([f'--{k}', json.dumps(v)])
elif isinstance(v, type) and issubclass(v, BaseExecutor):
args.extend([f'--{k}', v.__name__])
else:
args.extend([f'--{k}', str(v)])
return args
[docs] @staticmethod
def kwargs2namespace(
kwargs: Dict[str, Union[str, int, bool]],
parser: ArgumentParser,
warn_unknown: bool = False,
fallback_parsers: Optional[List[ArgumentParser]] = None,
positional_args: Optional[Tuple[str, ...]] = None,
) -> Namespace:
"""
Convert dict to a namespace.
:param kwargs: dictionary of key-values to be converted
:param parser: the parser for building kwargs into a namespace
:param warn_unknown: True, if unknown arguments should be logged
:param fallback_parsers: a list of parsers to help resolving the args
:param positional_args: some parser requires positional arguments to be presented
:return: argument list
"""
args = ArgNamespace.kwargs2list(kwargs)
if positional_args:
args += positional_args
p_args, unknown_args = parser.parse_known_args(args)
unknown_args = list(filter(lambda x: x.startswith('--'), unknown_args))
if warn_unknown and unknown_args:
_leftovers = set(unknown_args)
if fallback_parsers:
for p in fallback_parsers:
_, _unk_args = p.parse_known_args(args)
_leftovers = _leftovers.intersection(_unk_args)
if not _leftovers:
# all args have been resolved
break
warn_unknown_args(_leftovers)
return p_args
[docs] @staticmethod
def get_non_defaults_args(
args: Namespace, parser: ArgumentParser, taboo: Optional[Set[str]] = None
) -> Dict:
"""
Get non-default args in a dict.
:param args: the namespace to parse
:param parser: the parser for referring the default values
:param taboo: exclude keys in the final result
:return: non defaults
"""
if taboo is None:
taboo = set()
non_defaults = {}
_defaults = vars(parser.parse_args([]))
for k, v in vars(args).items():
if k in _defaults and k not in taboo and _defaults[k] != v:
non_defaults[k] = v
return non_defaults
[docs] @staticmethod
def flatten_to_dict(
args: Union[Dict[str, 'Namespace'], 'Namespace']
) -> Dict[str, Any]:
"""Convert argparse.Namespace to dict to be uploaded via REST.
:param args: namespace or dict or namespace to dict.
:return: pod args
"""
if isinstance(args, Namespace):
return vars(args)
elif isinstance(args, dict):
pod_args = {}
for k, v in args.items():
if isinstance(v, Namespace):
pod_args[k] = vars(v)
elif isinstance(v, list):
pod_args[k] = [vars(_) for _ in v]
else:
pod_args[k] = v
return pod_args
[docs]def is_valid_local_config_source(path: str) -> bool:
# TODO: this function must be refactored before 1.0 (Han 12.22)
"""
Check if the path is valid.
:param path: Local file path.
:return: True if the path is valid else False.
"""
try:
from jina.jaml import parse_config_source
parse_config_source(path)
return True
except FileNotFoundError:
return False
def get_full_version() -> Optional[Tuple[Dict, Dict]]:
"""
Get the version of libraries used in Jina and environment variables.
:return: Version information and environment variables
"""
import os
import platform
from uuid import getnode
import google.protobuf
import grpc
import yaml
from google.protobuf.internal import api_implementation
from grpc import _grpcio_metadata
from jina import (
__docarray_version__,
__jina_env__,
__proto_version__,
__unset_msg__,
__uptime__,
__version__,
)
from jina.logging.predefined import default_logger
try:
info = {
'jina': __version__,
'docarray': __docarray_version__,
'jina-proto': __proto_version__,
'jina-vcs-tag': os.environ.get('JINA_VCS_VERSION', __unset_msg__),
'protobuf': google.protobuf.__version__,
'proto-backend': api_implementation._default_implementation_type,
'grpcio': getattr(grpc, '__version__', _grpcio_metadata.__version__),
'pyyaml': yaml.__version__,
'python': platform.python_version(),
'platform': platform.system(),
'platform-release': platform.release(),
'platform-version': platform.version(),
'architecture': platform.machine(),
'processor': platform.processor(),
'uid': getnode(),
'session-id': str(random_uuid(use_uuid1=True)),
'uptime': __uptime__,
'ci-vendor': get_ci_vendor() or __unset_msg__,
}
env_info = {k: os.getenv(k, __unset_msg__) for k in __jina_env__}
full_version = info, env_info
except Exception as e:
default_logger.error(str(e))
full_version = None
return full_version
def format_full_version_info(info: Dict, env_info: Dict) -> str:
"""
Format the version information.
:param info: Version information of Jina libraries.
:param env_info: The Jina environment variables.
:return: Formatted version information.
"""
version_info = '\n'.join(f'- {k:30s}{v}' for k, v in info.items())
env_info = '\n'.join(f'* {k:30s}{v}' for k, v in env_info.items())
return version_info + '\n' + env_info
def _update_policy():
if __windows__:
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
elif 'JINA_DISABLE_UVLOOP' in os.environ:
return
else:
try:
import uvloop
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
except ModuleNotFoundError:
warnings.warn(
'Install `uvloop` via `pip install "jina[uvloop]"` for better performance.'
)
[docs]def get_or_reuse_loop():
"""
Get a new eventloop or reuse the current opened eventloop.
:return: A new eventloop or reuse the current opened eventloop.
"""
try:
loop = asyncio.get_running_loop()
if loop.is_closed():
raise RuntimeError
except RuntimeError:
_update_policy()
# no running event loop
# create a new loop
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
return loop
[docs]def typename(obj):
"""
Get the typename of object.
:param obj: Target object.
:return: Typename of the obj.
"""
if not isinstance(obj, type):
obj = obj.__class__
try:
return f'{obj.__module__}.{obj.__name__}'
except AttributeError:
return str(obj)
[docs]class CatchAllCleanupContextManager:
"""
This context manager guarantees, that the :method:``__exit__`` of the
sub context is called, even when there is an Exception in the
:method:``__enter__``.
:param sub_context: The context, that should be taken care of.
"""
def __init__(self, sub_context):
self.sub_context = sub_context
def __enter__(self):
pass
def __exit__(self, exc_type, exc_val, exc_tb):
if exc_type:
self.sub_context.__exit__(exc_type, exc_val, exc_tb)
[docs]class cached_property:
"""The decorator to cache property of a class."""
def __init__(self, func):
"""
Create the :class:`cached_property`.
:param func: Cached function.
"""
self.func = func
def __get__(self, obj, cls):
cached_value = obj.__dict__.get(f'CACHED_{self.func.__name__}', None)
if cached_value is not None:
return cached_value
value = obj.__dict__[f'CACHED_{self.func.__name__}'] = self.func(obj)
return value
def __delete__(self, obj):
cached_value = obj.__dict__.get(f'CACHED_{self.func.__name__}', None)
if cached_value is not None:
if hasattr(cached_value, 'close'):
cached_value.close()
del obj.__dict__[f'CACHED_{self.func.__name__}']
class _cache_invalidate:
"""Class for cache invalidation, remove strategy.
:param func: func to wrap as a decorator.
:param attribute: String as the function name to invalidate cached
data. E.g. in :class:`cached_property` we cache data inside the class obj
with the `key`: `CACHED_{func.__name__}`, the func name in `cached_property`
is the name to invalidate.
"""
def __init__(self, func, attribute: str):
self.func = func
self.attribute = attribute
def __call__(self, *args, **kwargs):
obj = args[0]
cached_key = f'CACHED_{self.attribute}'
if cached_key in obj.__dict__:
del obj.__dict__[cached_key] # invalidate
self.func(*args, **kwargs)
def __get__(self, obj, cls):
from functools import partial
return partial(self.__call__, obj)
def cache_invalidate(attribute: str):
"""The cache invalidator decorator to wrap the method call.
Check the implementation in :class:`_cache_invalidate`.
:param attribute: The func name as was stored in the obj to invalidate.
:return: wrapped method.
"""
def _wrap(func):
return _cache_invalidate(func, attribute)
return _wrap
def get_now_timestamp():
"""
Get the datetime.
:return: The datetime in int format.
"""
now = datetime.now()
return int(datetime.timestamp(now))
def get_readable_time(*args, **kwargs):
"""
Get the datetime in human readable format (e.g. 115 days and 17 hours and 46 minutes and 40 seconds).
For example:
.. highlight:: python
.. code-block:: python
get_readable_time(seconds=1000)
:param args: arguments for datetime.timedelta
:param kwargs: key word arguments for datetime.timedelta
:return: Datetime in human readable format.
"""
import datetime
secs = float(datetime.timedelta(*args, **kwargs).total_seconds())
units = [('day', 86400), ('hour', 3600), ('minute', 60), ('second', 1)]
parts = []
for unit, mul in units:
if secs / mul >= 1 or mul == 1:
if mul > 1:
n = int(math.floor(secs / mul))
secs -= n * mul
else:
n = int(secs)
parts.append(f'{n} {unit}' + ('' if n == 1 else 's'))
return ' and '.join(parts)
[docs]def get_internal_ip():
"""
Return the private IP address of the gateway for connecting from other machine in the same network.
:return: Private IP address.
"""
import socket
ip = '127.0.0.1'
try:
with socket.socket(socket.AF_INET, socket.SOCK_DGRAM) as s:
# doesn't even have to be reachable
s.connect(('10.255.255.255', 1))
ip = s.getsockname()[0]
except Exception:
pass
return ip
[docs]def get_public_ip(timeout: float = 0.3):
"""
Return the public IP address of the gateway for connecting from other machine in the public network.
:param timeout: the seconds to wait until return None.
:return: Public IP address.
.. warn::
Set `timeout` to a large number will block the Flow.
"""
import urllib.request
results = []
def _get_ip(url):
try:
req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'})
with urllib.request.urlopen(req, timeout=timeout) as fp:
_ip = fp.read().decode().strip()
results.append(_ip)
except:
pass # intentionally ignored, public ip is not showed
ip_server_list = [
'https://api.ipify.org',
'https://ident.me',
'https://checkip.amazonaws.com/',
]
threads = []
for idx, ip in enumerate(ip_server_list):
t = threading.Thread(target=_get_ip, args=(ip,))
threads.append(t)
t.start()
for t in threads:
t.join(timeout)
for r in results:
if r:
return r
[docs]def convert_tuple_to_list(d: Dict):
"""
Convert all the tuple type values from a dict to list.
:param d: Dict type of data.
"""
for k, v in d.items():
if isinstance(v, tuple):
d[k] = list(v)
elif isinstance(v, dict):
convert_tuple_to_list(v)
def is_jupyter() -> bool: # pragma: no cover
"""
Check if we're running in a Jupyter notebook, using magic command `get_ipython` that only available in Jupyter.
:return: True if run in a Jupyter notebook else False.
"""
try:
get_ipython # noqa: F821
except NameError:
return False
shell = get_ipython().__class__.__name__ # noqa: F821
if shell == 'ZMQInteractiveShell':
return True # Jupyter notebook or qtconsole
elif shell == 'Shell':
return True # Google colab
elif shell == 'TerminalInteractiveShell':
return False # Terminal running IPython
else:
return False # Other type (?)
def iscoroutinefunction(func: Callable):
return inspect.iscoroutinefunction(func)
async def run_in_threadpool(func: Callable, executor=None, *args, **kwargs):
return await get_or_reuse_loop().run_in_executor(
executor, functools.partial(func, *args, **kwargs)
)
[docs]def run_async(func, *args, **kwargs):
"""Generalized asyncio.run for jupyter notebook.
When running inside jupyter, an eventloop is already exist, can't be stopped, can't be killed.
Directly calling asyncio.run will fail, as This function cannot be called when another asyncio event loop
is running in the same thread.
.. see_also:
https://stackoverflow.com/questions/55409641/asyncio-run-cannot-be-called-from-a-running-event-loop
call `run_async(my_function, any_event_loop=True, *args, **kwargs)` to enable run with any eventloop
:param func: function to run
:param args: parameters
:param kwargs: key-value parameters
:return: asyncio.run(func)
"""
any_event_loop = kwargs.pop('any_event_loop', False)
class _RunThread(threading.Thread):
"""Create a running thread when in Jupyter notebook."""
def run(self):
"""Run given `func` asynchronously."""
self.result = asyncio.run(func(*args, **kwargs))
try:
loop = asyncio.get_running_loop()
except RuntimeError:
loop = None
if loop and loop.is_running():
# eventloop already exist
# running inside Jupyter
if any_event_loop or is_jupyter():
thread = _RunThread()
thread.start()
thread.join()
try:
return thread.result
except AttributeError:
from jina.excepts import BadClient
raise BadClient(
'something wrong when running the eventloop, result can not be retrieved'
)
else:
raise RuntimeError(
'you have an eventloop running but not using Jupyter/ipython, '
'this may mean you are using Jina with other integration? if so, then you '
'may want to use Client/Flow(asyncio=True). If not, then '
'please report this issue here: https://github.com/jina-ai/jina'
)
else:
return get_or_reuse_loop().run_until_complete(func(*args, **kwargs))
def slugify(value):
"""
Normalize string, converts to lowercase, removes non-alpha characters, and converts spaces to hyphens.
:param value: Original string.
:return: Processed string.
"""
s = str(value).strip().replace(' ', '_')
return re.sub(r'(?u)[^-\w.]', '', s)
def is_yaml_filepath(val) -> bool:
"""
Check if the file is YAML file.
:param val: Path of target file.
:return: True if the file is YAML else False.
"""
if __windows__:
r = r'.*.ya?ml$' # TODO: might not be exhaustive
else:
r = r'^[/\w\-\_\.]+.ya?ml$'
return re.match(r, val.strip()) is not None
[docs]def download_mermaid_url(mermaid_url, output) -> None:
"""
Download the jpg image from mermaid_url.
:param mermaid_url: The URL of the image.
:param output: A filename specifying the name of the image to be created, the suffix svg/jpg determines the file type of the output image.
"""
from urllib.request import Request, urlopen
try:
req = Request(mermaid_url, headers={'User-Agent': 'Mozilla/5.0'})
with open(output, 'wb') as fp:
fp.write(urlopen(req).read())
except:
from jina.logging.predefined import default_logger
default_logger.error(
'can not download image, please check your graph and the network connections'
)
def find_request_binding(target):
"""Find `@request` decorated methods in a class.
:param target: the target class to check
:return: a dictionary with key as request type and value as method name
"""
import ast
import inspect
from jina import __default_endpoint__
res = {}
def visit_function_def(node):
for e in node.decorator_list:
req_name = ''
if isinstance(e, ast.Call) and e.func.id == 'requests':
req_name = e.keywords[0].value.s
elif isinstance(e, ast.Name) and e.id == 'requests':
req_name = __default_endpoint__
if req_name:
if req_name in res:
raise ValueError(
f'you already bind `{res[req_name]}` with `{req_name}` request'
)
else:
res[req_name] = node.name
V = ast.NodeVisitor()
V.visit_FunctionDef = visit_function_def
V.visit(compile(inspect.getsource(target), '?', 'exec', ast.PyCF_ONLY_AST))
return res
def dunder_get(_dict: Any, key: str) -> Any:
"""Returns value for a specified dunderkey
A "dunderkey" is just a fieldname that may or may not contain
double underscores (dunderscores!) for referencing nested keys in
a dict. eg::
>>> data = {'a': {'b': 1}}
>>> dunder_get(data, 'a__b')
1
key 'b' can be referrenced as 'a__b'
:param _dict : (dict, list, struct or object) which we want to index into
:param key : (str) that represents a first level or nested key in the dict
:return: (mixed) value corresponding to the key
"""
try:
part1, part2 = key.split('__', 1)
except ValueError:
part1, part2 = key, ''
try:
part1 = int(part1) # parse int parameter
except ValueError:
pass
from google.protobuf.struct_pb2 import ListValue, Struct
if isinstance(part1, int):
result = _dict[part1]
elif isinstance(_dict, (dict, Struct, MutableMapping)):
if part1 in _dict:
result = _dict[part1]
else:
result = None
elif isinstance(_dict, (Iterable, ListValue)):
result = _dict[part1]
else:
result = getattr(_dict, part1)
return dunder_get(result, part2) if part2 else result
if TYPE_CHECKING:
from fastapi import FastAPI
def extend_rest_interface(app: 'FastAPI') -> 'FastAPI':
"""Extend Jina built-in FastAPI instance with customized APIs, routing, etc.
:param app: the built-in FastAPI instance given by Jina
:return: the extended FastAPI instance
.. highlight:: python
.. code-block:: python
def extend_rest_interface(app: 'FastAPI'):
@app.get('/extension1')
async def root():
return {"message": "Hello World"}
return app
"""
return app
def get_ci_vendor() -> Optional[str]:
from jina import __resources_path__
with open(os.path.join(__resources_path__, 'ci-vendors.json')) as fp:
all_cis = json.load(fp)
for c in all_cis:
if isinstance(c['env'], str) and c['env'] in os.environ:
return c['constant']
elif isinstance(c['env'], dict):
for k, v in c['env'].items():
if os.environ.get(k, None) == v:
return c['constant']
elif isinstance(c['env'], list):
for k in c['env']:
if k in os.environ:
return c['constant']
def deprecate_by(new_fn):
def _f(*args, **kwargs):
import inspect
old_fn_name = inspect.stack()[1][4][0].strip().split("=")[0].strip()
warnings.warn(
f'`{old_fn_name}` is renamed to `{new_fn.__name__}` with the same usage, please use the latter instead. '
f'The old function will be removed soon.',
DeprecationWarning,
)
return new_fn(*args, **kwargs)
return _f
def get_request_header() -> Dict:
"""Return the header of request.
:return: request header
"""
metas, envs = get_full_version()
header = {
**{f'jinameta-{k}': str(v) for k, v in metas.items()},
**envs,
}
return header
[docs]def get_rich_console():
"""
Function to get jina rich default console.
:return: rich console
"""
return Console(
force_terminal=True, force_interactive=True
) # It forces render in any terminal, especily in PyCharm
GRAPHQL_MIN_DOCARRAY_VERSION = '0.8.8' # graphql requires this or higher
[docs]def docarray_graphql_compatible():
"""Check if installed docarray version is compatible with GraphQL features.
:return: True if compatible, False if not
"""
installed_version = pckg_version.parse(__docarray_version__)
min_version = pckg_version.parse(GRAPHQL_MIN_DOCARRAY_VERSION)
return installed_version >= min_version