index
int64 0
731k
| package
stringlengths 2
98
⌀ | name
stringlengths 1
76
| docstring
stringlengths 0
281k
⌀ | code
stringlengths 4
8.19k
| signature
stringlengths 2
42.8k
⌀ | embed_func_code
listlengths 768
768
|
|---|---|---|---|---|---|---|
45,527 |
collections
|
__init__
| null |
def __init__(self, dict=None, /, **kwargs):
self.data = {}
if dict is not None:
self.update(dict)
if kwargs:
self.update(kwargs)
|
(self, dict=None, /, **kwargs)
|
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] |
45,534 |
easul.util
|
__setitem__
| null |
def __setitem__(self, key ,value):
if hasattr(value, "name"):
value.name = key
super().__setitem__(key, value)
|
(self, key, value)
|
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] |
45,543 |
easul.util
|
update
| null |
def update(self, __m, **kwargs):
for k,v in __m.items():
if hasattr(v, "name"):
v.name = k
super().update(__m)
|
(self, _DeferredCatalog__m, **kwargs)
|
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] |
45,545 |
easul.util
|
DeferredItem
|
Used to refer to an item if it has not been instantiated yet or there is a circular reference between two items (potential for
recurrence.
|
class DeferredItem:
"""
Used to refer to an item if it has not been instantiated yet or there is a circular reference between two items (potential for
recurrence.
"""
def __init__(self, plan, property, name):
self.__dict__['plan'] = plan
self.__dict__['property'] = property
self.__dict__['name'] = name
def __repr__(self):
return f"<DeferredItem name={self.name} property={self.property}>"
def __getattr__(self, item):
return getattr(self.plan.get_property(self.property, self.name), item)
def __setattr__(self, key, value):
setattr(self.plan.get_property(self.property, self.name), key, value)
def __instancecheck__(self, instance):
return isinstance(self.plan.get_property(self.property, self.name), instance)
def __iter__(self):
return iter(self.plan.get_property(self.property))
def __eq__(self, other):
return self.plan.get_property(self.property, self.name) == other
def replace_plan(self, new_plan):
self.__dict__['plan'] = new_plan
|
(plan, property, name)
|
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] |
45,546 |
easul.util
|
__eq__
| null |
def __eq__(self, other):
return self.plan.get_property(self.property, self.name) == other
|
(self, other)
|
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] |
45,547 |
easul.util
|
__getattr__
| null |
def __getattr__(self, item):
return getattr(self.plan.get_property(self.property, self.name), item)
|
(self, item)
|
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] |
45,548 |
easul.util
|
__init__
| null |
def __init__(self, plan, property, name):
self.__dict__['plan'] = plan
self.__dict__['property'] = property
self.__dict__['name'] = name
|
(self, plan, property, name)
|
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] |
45,549 |
easul.util
|
__instancecheck__
| null |
def __instancecheck__(self, instance):
return isinstance(self.plan.get_property(self.property, self.name), instance)
|
(self, instance)
|
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] |
45,550 |
easul.util
|
__iter__
| null |
def __iter__(self):
return iter(self.plan.get_property(self.property))
|
(self)
|
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] |
45,551 |
easul.util
|
__repr__
| null |
def __repr__(self):
return f"<DeferredItem name={self.name} property={self.property}>"
|
(self)
|
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] |
45,552 |
easul.util
|
__setattr__
| null |
def __setattr__(self, key, value):
setattr(self.plan.get_property(self.property, self.name), key, value)
|
(self, key, value)
|
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] |
45,553 |
easul.util
|
replace_plan
| null |
def replace_plan(self, new_plan):
self.__dict__['plan'] = new_plan
|
(self, new_plan)
|
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] |
45,554 |
easul.visual.element.element
|
Element
|
Base element which provides initial logic to handle elements in a Layout
|
class Element:
"""Base element which provides initial logic to handle elements in a Layout
"""
name = field(default="untitled")
help = field(default="")
title = field(default="Untitled")
fill_container = field(default=False)
html_template = None
style = field(default=None)
html_class = field(default="")
html_tag = field(default="h5")
@property
def metadata_type(self):
return snakecase(self.__class__.__name__)
@classmethod
def is_correct_algorithm(cls, algorithm):
return True
def create(self, *args, **kwargs):
context = self._get_context(**kwargs)
return from_html_template(self.html_template, context)
def render_content_start(self, **kwargs):
pass
def render_content_end(self, **kwargs):
pass
@abstractmethod
def render_content_body(self, **kwargs):
pass
def prepare_element(self, **kwargs):
return
def _get_context(self, **kwargs):
pass
def generate_metadata(self, algorithm, **kwargs):
pass
def generate_context(self, algorithm, input_data, visual, **kwargs):
pass
|
(*, name='untitled', help='', title='Untitled', fill_container=False, style=None, html_class='', html_tag='h5') -> None
|
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45,555 |
easul.visual.element.element
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__eq__
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Method generated by attrs for class Element.
|
from abc import abstractmethod
from typing import Dict
from attr import define, field
from dominate.tags import *
from stringcase import snakecase
from easul.error import VisualDataMissing
from easul.util import Utf8EncodedImage
from easul.visual.render import from_html_template
from easul.visual.draw.style import suggest_text_color_from_fill
LIST_TYPES = ["options","list","category"]
MODEL_SCOPE = "model"
ROW_SCOPE = "row"
EITHER_SCOPE = "either"
import logging
LOG = logging.getLogger(__name__)
class Html:
def __init__(self):
self._elements = []
def start_element(self, tag, attrs=None):
if attrs:
attrs = [k + "=\"" + (v if v else "") +"\"" for k,v in attrs.items()]
else:
attrs = []
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list}>")
def end_element(self, tag):
self._elements.append(f"</{tag}>")
def add_text_element(self, tag, text, attrs=None):
self.start_element(tag, attrs)
self._elements.append(text)
self.end_element(tag)
def __repr__(self):
return "".join(self._elements)
def append(self, element):
self._elements.append(element)
def add_element(self, tag, attrs):
attrs = [k + "=\"" + v + "\"" for k, v in attrs.items()]
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list} />")
|
(self, other)
|
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] |
45,562 |
easul.visual.element.element
|
create
| null |
def create(self, *args, **kwargs):
context = self._get_context(**kwargs)
return from_html_template(self.html_template, context)
|
(self, *args, **kwargs)
|
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] |
45,563 |
easul.visual.element.element
|
generate_context
| null |
def generate_context(self, algorithm, input_data, visual, **kwargs):
pass
|
(self, algorithm, input_data, visual, **kwargs)
|
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] |
45,564 |
easul.visual.element.element
|
generate_metadata
| null |
def generate_metadata(self, algorithm, **kwargs):
pass
|
(self, algorithm, **kwargs)
|
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] |
45,566 |
easul.visual.element.element
|
render_content_body
| null |
@abstractmethod
def render_content_body(self, **kwargs):
pass
|
(self, **kwargs)
|
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] |
45,569 |
easul.expression
|
EmptyExpression
|
Expression which determines if a field value is empty or full (if negated = True).
|
class EmptyExpression(FieldExpression):
"""
Expression which determines if a field value is empty or full (if negated = True).
"""
negated = field(default=False)
def evaluate(self, data):
if self.negated:
return not self.is_empty(data[self.input_field])
else:
return self.is_empty(data[self.input_field])
@property
def label(self):
return self.input_field + " is " + "not" if self.negated else "" + " empty"
|
(*, input_field: str, ignore_empty: bool = False, negated=False) -> None
|
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] |
45,570 |
easul.expression
|
__eq__
|
Method generated by attrs for class EmptyExpression.
|
import operator
import re
from abc import abstractmethod
from typing import Callable
from attrs import define, field
import numpy as np
import pandas as pd
from easul.error import MissingValue
import logging
LOG = logging.getLogger(__name__)
@define(kw_only=True)
class Expression:
"""
Base Expression class. Derived classes evaluate input data and return a True/False
"""
label = ""
empty_values = [None, np.nan]
@abstractmethod
def evaluate(self, data):
pass
@classmethod
def is_empty(cls, item):
if item in cls.empty_values:
return True
try:
if np.isnan(item):
return True
except TypeError:
pass
return False
|
(self, other)
|
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] |
45,576 |
easul.expression
|
evaluate
| null |
def evaluate(self, data):
if self.negated:
return not self.is_empty(data[self.input_field])
else:
return self.is_empty(data[self.input_field])
|
(self, data)
|
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] |
45,577 |
easul.visual.element.element
|
EncodedImageElement
| null |
class EncodedImageElement(Element):
html_template = "encoded_image.html"
def _get_context(self, **kwargs)->Dict:
img = self._draw_b64_encoded_image(**kwargs)
return {"encoded_image": img.decode(), "field": self, "label":self.title}
|
(*, name='untitled', help='', title='Untitled', fill_container=False, style=None, html_class='', html_tag='h5') -> None
|
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] |
45,578 |
easul.visual.element.element
|
__eq__
|
Method generated by attrs for class EncodedImageElement.
|
from abc import abstractmethod
from typing import Dict
from attr import define, field
from dominate.tags import *
from stringcase import snakecase
from easul.error import VisualDataMissing
from easul.util import Utf8EncodedImage
from easul.visual.render import from_html_template
from easul.visual.draw.style import suggest_text_color_from_fill
LIST_TYPES = ["options","list","category"]
MODEL_SCOPE = "model"
ROW_SCOPE = "row"
EITHER_SCOPE = "either"
import logging
LOG = logging.getLogger(__name__)
class Html:
def __init__(self):
self._elements = []
def start_element(self, tag, attrs=None):
if attrs:
attrs = [k + "=\"" + (v if v else "") +"\"" for k,v in attrs.items()]
else:
attrs = []
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list}>")
def end_element(self, tag):
self._elements.append(f"</{tag}>")
def add_text_element(self, tag, text, attrs=None):
self.start_element(tag, attrs)
self._elements.append(text)
self.end_element(tag)
def __repr__(self):
return "".join(self._elements)
def append(self, element):
self._elements.append(element)
def add_element(self, tag, attrs):
attrs = [k + "=\"" + v + "\"" for k, v in attrs.items()]
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list} />")
|
(self, other)
|
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] |
45,584 |
easul.visual.element.element
|
_get_context
| null |
def _get_context(self, **kwargs)->Dict:
img = self._draw_b64_encoded_image(**kwargs)
return {"encoded_image": img.decode(), "field": self, "label":self.title}
|
(self, **kwargs) -> Dict
|
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] |
45,592 |
easul.outcome
|
EndOutcome
|
Outcome at the end of the patient journey.
|
class EndOutcome(Outcome):
"""
Outcome at the end of the patient journey.
"""
next_step = field(default=None)
reason = field(default=None)
def asdict(self):
return {
"outcome_step":self.outcome_step.name
}
|
(*, outcome_step, context=None, input_data=None, next_step=None, reason=None) -> None
|
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] |
45,593 |
easul.outcome
|
__eq__
|
Method generated by attrs for class EndOutcome.
|
from attrs import define, field
@define(kw_only=True)
class Outcome:
"""
Base Outcome class. Output by Decision classes and contains information on the next step (based on the decision),
the reason for the outcome/decision and context related to the result.
"""
outcome_step = field()
next_step = field()
reason = field()
context = field(default=None)
input_data = field(default=None)
def asdict(self):
return {
"outcome_step":self.outcome_step.name,
"next_step":self.next_step.name if self.next_step else None,
"reason":self.reason,
"context":self.context if self.context else {},
"input_data": self.input_data if type(self.input_data) is dict else self.input_data.asdict() if self.input_data else {}
}
def __repr__(self):
return f"<{self.__class__.__name__ } {self.asdict()}>"
|
(self, other)
|
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] |
45,599 |
easul.outcome
|
asdict
| null |
def asdict(self):
return {
"outcome_step":self.outcome_step.name
}
|
(self)
|
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] |
45,600 |
easul.step
|
EndStep
|
End step in journey. Results in completion of journey.
|
class EndStep(ActionStep):
"""
End step in journey. Results in completion of journey.
"""
def __attrs_post_init__(self):
from easul.action import CompleteJourneyAction
self.actions.append(CompleteJourneyAction())
def _determine_outcome(self, event):
return EndOutcome(outcome_step=self)
|
(*, title, visual=None, exclude_from_chart=False, name=None, actions=NOTHING, source=None) -> None
|
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] |
45,601 |
easul.step
|
__attrs_post_init__
| null |
def __attrs_post_init__(self):
from easul.action import CompleteJourneyAction
self.actions.append(CompleteJourneyAction())
|
(self)
|
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] |
45,602 |
easul.step
|
__eq__
|
Method generated by attrs for class EndStep.
|
from attrs import define, field
import logging
from easul.decision import BinaryDecision
LOG = logging.getLogger(__name__)
from easul.error import StepDataNotAvailable, ConversionError, InvalidStepData, VisualDataMissing, ValidationError
from enum import Enum, auto
from easul.outcome import Outcome, EndOutcome, PauseOutcome, InvalidDataOutcome, MissingDataOutcome
from abc import abstractmethod
NO_VISUAL_IN_STEP_MESSAGE = "Sorry no visual for this step"
@define(kw_only=True)
class Step:
"""
Base Step class. Steps are the driving force of plans, they bring the different components together.
The key things are 'visual' components which provide graphical views associated with steps and 'actions' which
define action classes that occur during the lifecycle of a step run.
"""
title = field()
visual = field(default=None)
exclude_from_chart = field(default=False)
name = field(default=None)
actions = field(factory=list)
def layout_kwargs(self, driver, steps, **kwargs):
return {"steps":steps, "driver":driver, "step":self, **kwargs}
def render_visual(self, driver: "easul.driver.Driver", steps, result=None, context=None, renderer=None, **kwargs):
"""
Render visual to HTML utilising the data in the broker (if not supplied) and the supplied renderer
Args:
driver:
steps:
result:
context:
renderer:
**kwargs:
Returns:
"""
if not self.visual:
return NO_VISUAL_IN_STEP_MESSAGE
if not result and not context:
b_data = driver.get_broker_data("outcome:" + self.name)
if b_data:
result = b_data.get("result")
context = b_data.get("context")
try:
return self.visual.render(driver=driver, steps=steps, step=self, result=result, context=context, renderer=renderer)
except VisualDataMissing as ex:
return str(ex)
@property
def possible_links(self):
return {}
@property
def data_sources(self):
return []
def _trigger_actions(self, trigger_type, event):
for action in self.actions:
getattr(action, trigger_type)(event)
def _generate_visual_context(self, data):
return self.visual.generate_context(data) if self.visual else None
def __repr__(self):
return self.name
def describe(self):
"""
Describe step as Python data structures (lists and dicts)
Returns:
"""
return {
"name": self.name,
"title": self.title,
"actions": [a.describe() for a in self.actions],
"visual":self.visual.describe() if self.visual else "N/A"
}
|
(self, other)
|
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] |
45,608 |
easul.step
|
_determine_outcome
| null |
def _determine_outcome(self, event):
return EndOutcome(outcome_step=self)
|
(self, event)
|
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] |
45,619 |
easul.process
|
ExcludeFields
|
Exclude specified fields from the output data
|
class ExcludeFields:
"""
Exclude specified fields from the output data
"""
exclude_fields = field()
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(*, exclude_fields) -> None
|
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] |
45,620 |
easul.process
|
__call__
| null |
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(self, record)
|
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] |
45,621 |
easul.process
|
__eq__
|
Method generated by attrs for class ExcludeFields.
|
# processes are callables which receive a data structure and return a processed version of the data structure
# most of the processes defined here are classes but functions can work as well
from datetime import datetime, date, time
import logging
from typing import Callable, List, Dict, Optional
LOG = logging.getLogger(__name__)
from attrs import define, field
@define(kw_only=True)
class ExcludeFields:
"""
Exclude specified fields from the output data
"""
exclude_fields = field()
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(self, other)
|
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ExcludeRowsWithExpression
|
Removes rows from list input data which meet a specific 'expression' for the supplied 'input_field'
|
class ExcludeRowsWithExpression:
"""
Removes rows from list input data which meet a specific 'expression' for the supplied 'input_field'
"""
expression = field(default=None)
input_field = field()
def __call__(self, record):
if type(record) is not list:
raise AttributeError("Input data must be a list")
new_record = []
for item in record:
if self.expression.evaluate(item):
continue
new_record.append(item)
return new_record
|
(*, expression=None, input_field) -> None
|
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] |
45,628 |
easul.process
|
__call__
| null |
def __call__(self, record):
if type(record) is not list:
raise AttributeError("Input data must be a list")
new_record = []
for item in record:
if self.expression.evaluate(item):
continue
new_record.append(item)
return new_record
|
(self, record)
|
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] |
45,629 |
easul.process
|
__eq__
|
Method generated by attrs for class ExcludeRowsWithExpression.
|
# processes are callables which receive a data structure and return a processed version of the data structure
# most of the processes defined here are classes but functions can work as well
from datetime import datetime, date, time
import logging
from typing import Callable, List, Dict, Optional
LOG = logging.getLogger(__name__)
from attrs import define, field
@define(kw_only=True)
class ExcludeFields:
"""
Exclude specified fields from the output data
"""
exclude_fields = field()
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(self, other)
|
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] |
45,635 |
easul.expression
|
Expression
|
Base Expression class. Derived classes evaluate input data and return a True/False
|
class Expression:
"""
Base Expression class. Derived classes evaluate input data and return a True/False
"""
label = ""
empty_values = [None, np.nan]
@abstractmethod
def evaluate(self, data):
pass
@classmethod
def is_empty(cls, item):
if item in cls.empty_values:
return True
try:
if np.isnan(item):
return True
except TypeError:
pass
return False
|
() -> None
|
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] |
45,636 |
easul.expression
|
__eq__
|
Method generated by attrs for class Expression.
|
import operator
import re
from abc import abstractmethod
from typing import Callable
from attrs import define, field
import numpy as np
import pandas as pd
from easul.error import MissingValue
import logging
LOG = logging.getLogger(__name__)
@define(kw_only=True)
class Expression:
"""
Base Expression class. Derived classes evaluate input data and return a True/False
"""
label = ""
empty_values = [None, np.nan]
@abstractmethod
def evaluate(self, data):
pass
@classmethod
def is_empty(cls, item):
if item in cls.empty_values:
return True
try:
if np.isnan(item):
return True
except TypeError:
pass
return False
|
(self, other)
|
[
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0.04401107132434845,
0.0033180788159370422,
-0.003910430707037449,
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-0.03925409913063049,
-0.08642438054084778,
-0.017884036526083946,
-0.04146917909383774,
0.04306693747639656,
0.026290440931916237,
0.07215346395969391,
-0.018428727984428406,
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] |
45,642 |
easul.expression
|
evaluate
| null |
@abstractmethod
def evaluate(self, data):
pass
|
(self, data)
|
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] |
45,643 |
easul.algorithm.logic
|
ExpressionAlgorithm
|
Algorithm based on an Expression which return a Result with value of 1 if true and 0 if false
|
class ExpressionAlgorithm(Algorithm):
"""
Algorithm based on an Expression which return a Result with value of 1 if true and 0 if false
"""
expression:Expression = field()
def single_result(self, data):
dset = ds.create_input_dataset(data, self.schema, allow_multiple=False)
return Result(value=1 if self.expression.evaluate(dset) else 0,data=dset)
|
(*, title: str, schema: Any, encoder=None, expression: easul.expression.Expression) -> None
|
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] |
45,644 |
easul.algorithm.logic
|
__eq__
|
Method generated by attrs for class ExpressionAlgorithm.
|
from typing import List, Any
from .algorithm import Algorithm
import easul.data as ds
from .factor import Factor, FactorMatch
from .result import ScoreResult, CaseResult, Result
import logging
from attrs import define, field
from easul.expression import Case, Expression
LOG = logging.getLogger(__name__)
class Binary:
pass
|
(self, other)
|
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] |
45,655 |
easul.algorithm.logic
|
single_result
| null |
def single_result(self, data):
dset = ds.create_input_dataset(data, self.schema, allow_multiple=False)
return Result(value=1 if self.expression.evaluate(dset) else 0,data=dset)
|
(self, data)
|
[
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] |
45,657 |
easul.process
|
ExtractRowsWithExpression
|
Extract rows which meet a specific field 'expression' for the 'input_field' and put them into the 'output_field'.
The expression can be negated using 'negate_expression'
|
class ExtractRowsWithExpression:
"""
Extract rows which meet a specific field 'expression' for the 'input_field' and put them into the 'output_field'.
The expression can be negated using 'negate_expression'
"""
expression:"easul.expression.Expression" = field()
input_field:str = field()
output_field:str = field()
negate_expression:bool = field(default=False)
def __call__(self, record):
input_data = record.get(self.input_field)
if type(input_data) is not list:
raise AttributeError(f"Input data ({self.input_field}) must be a list")
extracted_rows = list(filter(lambda x: self.expression.evaluate(x) != self.negate_expression, record.get(self.input_field,[])))
record[self.output_field] = extracted_rows
return record
|
(*, expression: 'easul.expression.Expression', input_field: str, output_field: str, negate_expression: bool = False) -> None
|
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] |
45,658 |
easul.process
|
__call__
| null |
def __call__(self, record):
input_data = record.get(self.input_field)
if type(input_data) is not list:
raise AttributeError(f"Input data ({self.input_field}) must be a list")
extracted_rows = list(filter(lambda x: self.expression.evaluate(x) != self.negate_expression, record.get(self.input_field,[])))
record[self.output_field] = extracted_rows
return record
|
(self, record)
|
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] |
45,659 |
easul.process
|
__eq__
|
Method generated by attrs for class ExtractRowsWithExpression.
|
# processes are callables which receive a data structure and return a processed version of the data structure
# most of the processes defined here are classes but functions can work as well
from datetime import datetime, date, time
import logging
from typing import Callable, List, Dict, Optional
LOG = logging.getLogger(__name__)
from attrs import define, field
@define(kw_only=True)
class ExcludeFields:
"""
Exclude specified fields from the output data
"""
exclude_fields = field()
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(self, other)
|
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] |
45,665 |
easul.algorithm.factor
|
Factor
|
Base factor for score-based algorithm
|
class Factor:
"""
Base factor for score-based algorithm
"""
title:str = field(default=None)
ignore_empty:bool = field(default=False)
@abstractmethod
def calc_match(self, dset):
pass
|
(*, title: str = None, ignore_empty: bool = False) -> None
|
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] |
45,666 |
easul.algorithm.factor
|
__eq__
|
Method generated by attrs for class Factor.
|
from typing import Optional, Any, Callable
from attrs import define, field
from abc import abstractmethod
from easul.error import MissingValue
from easul.expression import OperatorExpression, Expression
@define(kw_only=True)
class Factor:
"""
Base factor for score-based algorithm
"""
title:str = field(default=None)
ignore_empty:bool = field(default=False)
@abstractmethod
def calc_match(self, dset):
pass
|
(self, other)
|
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] |
45,672 |
easul.algorithm.factor
|
calc_match
| null |
@abstractmethod
def calc_match(self, dset):
pass
|
(self, dset)
|
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] |
45,673 |
easul.algorithm.factor
|
FactorMatch
|
Matched factor for score.
|
class FactorMatch:
"""
Matched factor for score.
"""
factor:"easul.algorithm.ScoreFactor" = field()
matched_data:Any = field()
penalty: float = field()
def asdict(self):
if hasattr(self.factor,"expression"):
expression = self.factor.expression.label
else:
expression = "?"
return {
"title":self.factor.title,
"penalty":self.penalty,
"expression":expression,
"empty":False
}
|
(*, factor: 'easul.algorithm.ScoreFactor', matched_data: Any, penalty: float) -> None
|
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] |
45,674 |
easul.algorithm.factor
|
__eq__
|
Method generated by attrs for class FactorMatch.
|
from typing import Optional, Any, Callable
from attrs import define, field
from abc import abstractmethod
from easul.error import MissingValue
from easul.expression import OperatorExpression, Expression
@define(kw_only=True)
class Factor:
"""
Base factor for score-based algorithm
"""
title:str = field(default=None)
ignore_empty:bool = field(default=False)
@abstractmethod
def calc_match(self, dset):
pass
|
(self, other)
|
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] |
45,680 |
easul.algorithm.factor
|
asdict
| null |
def asdict(self):
if hasattr(self.factor,"expression"):
expression = self.factor.expression.label
else:
expression = "?"
return {
"title":self.factor.title,
"penalty":self.penalty,
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] |
45,681 |
easul.process
|
FieldApply
|
Apply specified function to 'field_name' and put results in 'target_field_name'
|
class FieldApply:
"""
Apply specified function to 'field_name' and put results in 'target_field_name'
"""
field_name:str = field()
target_field_name:str = field()
fn:Callable = field()
@target_field_name.default
def _default_target_field_name(self):
return self.field_name
def __call__(self, record):
record[self.target_field_name] = self.fn(record.get(self.field_name))
return record
|
(*, field_name: str, target_field_name: str = NOTHING, fn: Callable) -> None
|
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] |
45,682 |
easul.process
|
__call__
| null |
def __call__(self, record):
record[self.target_field_name] = self.fn(record.get(self.field_name))
return record
|
(self, record)
|
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] |
45,683 |
easul.process
|
__eq__
|
Method generated by attrs for class FieldApply.
|
# processes are callables which receive a data structure and return a processed version of the data structure
# most of the processes defined here are classes but functions can work as well
from datetime import datetime, date, time
import logging
from typing import Callable, List, Dict, Optional
LOG = logging.getLogger(__name__)
from attrs import define, field
@define(kw_only=True)
class ExcludeFields:
"""
Exclude specified fields from the output data
"""
exclude_fields = field()
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(self, other)
|
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] |
45,689 |
easul.process
|
_default_target_field_name
| null |
@target_field_name.default
def _default_target_field_name(self):
return self.field_name
|
(self)
|
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0.02100369520485401
] |
45,690 |
easul.expression
|
FieldExpression
|
Expression which tests a specific input field.
|
class FieldExpression(Expression):
"""
Expression which tests a specific input field.
"""
input_field: str = field()
ignore_empty: bool = field(default=False)
def evaluate(self, data):
try:
item = data[self.input_field]
except TypeError:
item = data.value
if self.is_empty(item):
if self.ignore_empty is True:
return False
raise MissingValue(f"Data item '{self.input_field}' is empty and cannot be ignored")
return self._test(item)
|
(*, input_field: str, ignore_empty: bool = False) -> None
|
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] |
45,691 |
easul.expression
|
__eq__
|
Method generated by attrs for class FieldExpression.
|
import operator
import re
from abc import abstractmethod
from typing import Callable
from attrs import define, field
import numpy as np
import pandas as pd
from easul.error import MissingValue
import logging
LOG = logging.getLogger(__name__)
@define(kw_only=True)
class Expression:
"""
Base Expression class. Derived classes evaluate input data and return a True/False
"""
label = ""
empty_values = [None, np.nan]
@abstractmethod
def evaluate(self, data):
pass
@classmethod
def is_empty(cls, item):
if item in cls.empty_values:
return True
try:
if np.isnan(item):
return True
except TypeError:
pass
return False
|
(self, other)
|
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] |
45,698 |
easul.visual.element.element
|
FigureElement
| null |
class FigureElement(EncodedImageElement):
width:int = field(default=3)
height:int = field(default=3)
font_size:int = field(default=8)
def _new_figure(self)->"matplotlib.pyplot.Figure":
# Figure object is created explicitly instead of through plt.figure() due to:
# i) non-threadsafe approach that matplotlib uses for its registry of figures and persistence of WSGI
# ii) limit of 20 figures at a time
#
# although a bit more cumbersome it ensures new figures are completely new and prevents drawing over existing
# figures.
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg
plt.style.use('ggplot')
plt.rc('xtick', labelsize=14)
plt.rc('ytick', labelsize=14)
fig = Figure()
canvas = FigureCanvasAgg(fig)
ax = fig.add_subplot()
try:
fig.clear()
except ValueError:
pass
fig.set_size_inches(self.width, self.height)
ax.set_xticklabels(labels=[], fontsize=self.font_size)
ax.set_yticklabels(labels=[], fontsize=self.font_size)
return fig
def _new_image(self, **kwargs):
return Utf8EncodedImage()
def _create_figure(self, **kwargs):
pass
def _draw_b64_encoded_image(self, **kwargs):
img = self._new_image(**kwargs)
figure = self._create_figure(**kwargs)
# figure.suptitle(self.title, fontsize=16)
self._store_figure_to_image(figure, img)
return img
def _store_figure_to_image(self, figure, img):
figure.savefig(img, format="PNG", transparent=True, bbox_inches='tight')
return img
|
(*, name='untitled', help='', title='Untitled', fill_container=False, style=None, html_class='', html_tag='h5', width: int = 3, height: int = 3, font_size: int = 8) -> None
|
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] |
45,699 |
easul.visual.element.element
|
__eq__
|
Method generated by attrs for class FigureElement.
|
from abc import abstractmethod
from typing import Dict
from attr import define, field
from dominate.tags import *
from stringcase import snakecase
from easul.error import VisualDataMissing
from easul.util import Utf8EncodedImage
from easul.visual.render import from_html_template
from easul.visual.draw.style import suggest_text_color_from_fill
LIST_TYPES = ["options","list","category"]
MODEL_SCOPE = "model"
ROW_SCOPE = "row"
EITHER_SCOPE = "either"
import logging
LOG = logging.getLogger(__name__)
class Html:
def __init__(self):
self._elements = []
def start_element(self, tag, attrs=None):
if attrs:
attrs = [k + "=\"" + (v if v else "") +"\"" for k,v in attrs.items()]
else:
attrs = []
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list}>")
def end_element(self, tag):
self._elements.append(f"</{tag}>")
def add_text_element(self, tag, text, attrs=None):
self.start_element(tag, attrs)
self._elements.append(text)
self.end_element(tag)
def __repr__(self):
return "".join(self._elements)
def append(self, element):
self._elements.append(element)
def add_element(self, tag, attrs):
attrs = [k + "=\"" + v + "\"" for k, v in attrs.items()]
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list} />")
|
(self, other)
|
[
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-0.03386739641427994,
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0.003542030695825815,
0.02903418242931366,
-0.02774299867451191,
-0.08842862397432327,
-0.024323105812072754,
0.011315304785966873,
0.000425850652391091,
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] |
45,705 |
easul.visual.element.element
|
_create_figure
| null |
def _create_figure(self, **kwargs):
pass
|
(self, **kwargs)
|
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] |
45,706 |
easul.visual.element.element
|
_draw_b64_encoded_image
| null |
def _draw_b64_encoded_image(self, **kwargs):
img = self._new_image(**kwargs)
figure = self._create_figure(**kwargs)
# figure.suptitle(self.title, fontsize=16)
self._store_figure_to_image(figure, img)
return img
|
(self, **kwargs)
|
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] |
45,708 |
easul.visual.element.element
|
_new_figure
| null |
def _new_figure(self)->"matplotlib.pyplot.Figure":
# Figure object is created explicitly instead of through plt.figure() due to:
# i) non-threadsafe approach that matplotlib uses for its registry of figures and persistence of WSGI
# ii) limit of 20 figures at a time
#
# although a bit more cumbersome it ensures new figures are completely new and prevents drawing over existing
# figures.
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg
plt.style.use('ggplot')
plt.rc('xtick', labelsize=14)
plt.rc('ytick', labelsize=14)
fig = Figure()
canvas = FigureCanvasAgg(fig)
ax = fig.add_subplot()
try:
fig.clear()
except ValueError:
pass
fig.set_size_inches(self.width, self.height)
ax.set_xticklabels(labels=[], fontsize=self.font_size)
ax.set_yticklabels(labels=[], fontsize=self.font_size)
return fig
|
(self) -> 'matplotlib.pyplot.Figure'
|
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] |
45,709 |
easul.visual.element.element
|
_new_image
| null |
def _new_image(self, **kwargs):
return Utf8EncodedImage()
|
(self, **kwargs)
|
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] |
45,710 |
easul.visual.element.element
|
_store_figure_to_image
| null |
def _store_figure_to_image(self, figure, img):
figure.savefig(img, format="PNG", transparent=True, bbox_inches='tight')
return img
|
(self, figure, img)
|
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] |
45,718 |
easul.visual.visual
|
FileMetadata
| null |
class FileMetadata(Metadata):
def __init__(self, filename, algorithm, *args, **kwargs):
super().__init__(algorithm, *args, **kwargs)
self.filename = filename
self.loaded_from = None
def load(self):
with open(self.filename, "rb") as infile:
obj_data = infile.read()
self.data = util.from_serialized(obj_data)
LOG.debug(f"Loaded metadata from '{self.filename}'")
self.init = True
self.loaded_from = self.filename
def save(self):
if self.init is False:
raise ValueError("Not initialised, you must load or calculate metadata to save it")
with open(self.filename, "wb") as outfile:
outfile.write(util.to_serialized(self.data))
|
(filename, algorithm, *args, **kwargs)
|
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] |
45,724 |
easul.visual.visual
|
__init__
| null |
def __init__(self, filename, algorithm, *args, **kwargs):
super().__init__(algorithm, *args, **kwargs)
self.filename = filename
self.loaded_from = None
|
(self, filename, algorithm, *args, **kwargs)
|
[
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] |
45,732 |
easul.visual.visual
|
calculate
| null |
def calculate(self, dataset):
if not self.visual:
raise AttributeError("Cannot calculate metadata as instance has not been called with Visual object")
metadata = {}
for element in self.visual.elements:
element_metadata = element.generate_metadata(algorithm=self.algorithm, dataset=dataset)
if element_metadata:
metadata.update(element_metadata)
metadata["algorithm_digest"] = self.algorithm.unique_digest
self.init = True
self.data.update(metadata)
|
(self, dataset)
|
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0.010456846095621586
] |
45,738 |
easul.visual.visual
|
load
| null |
def load(self):
with open(self.filename, "rb") as infile:
obj_data = infile.read()
self.data = util.from_serialized(obj_data)
LOG.debug(f"Loaded metadata from '{self.filename}'")
self.init = True
self.loaded_from = self.filename
|
(self)
|
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] |
45,741 |
easul.visual.visual
|
save
| null |
def save(self):
if self.init is False:
raise ValueError("Not initialised, you must load or calculate metadata to save it")
with open(self.filename, "wb") as outfile:
outfile.write(util.to_serialized(self.data))
|
(self)
|
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] |
45,745 |
easul.process
|
FormatDateTime
|
Format 'field_name' datetime object to a string based on the 'format'.
If value is None or is not a datetime object the 'field_name' is updated to None.
|
class FormatDateTime:
"""
Format 'field_name' datetime object to a string based on the 'format'.
If value is None or is not a datetime object the 'field_name' is updated to None.
"""
field_name:str = field()
format:str = field()
def __call__(self, record):
date_value = record.get(self.field_name)
if date_value is None:
record[self.field_name] = None
return record
try:
dt = datetime.strftime(date_value, self.format)
record[self.field_name] = dt
except ValueError:
record[self.field_name] = None
return record
|
(*, field_name: str, format: str) -> None
|
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] |
45,746 |
easul.process
|
__call__
| null |
def __call__(self, record):
date_value = record.get(self.field_name)
if date_value is None:
record[self.field_name] = None
return record
try:
dt = datetime.strftime(date_value, self.format)
record[self.field_name] = dt
except ValueError:
record[self.field_name] = None
return record
|
(self, record)
|
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] |
45,747 |
easul.process
|
__eq__
|
Method generated by attrs for class FormatDateTime.
|
# processes are callables which receive a data structure and return a processed version of the data structure
# most of the processes defined here are classes but functions can work as well
from datetime import datetime, date, time
import logging
from typing import Callable, List, Dict, Optional
LOG = logging.getLogger(__name__)
from attrs import define, field
@define(kw_only=True)
class ExcludeFields:
"""
Exclude specified fields from the output data
"""
exclude_fields = field()
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(self, other)
|
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] |
45,753 |
easul.process
|
GetProperty
|
Gets the object in the specified 'field_name' and replaces it with the property corresponding to
'property_name'. For example this can be used to get the 'date' from a 'datetime' object.
|
class GetProperty:
"""
Gets the object in the specified 'field_name' and replaces it with the property corresponding to
'property_name'. For example this can be used to get the 'date' from a 'datetime' object.
"""
field_name = field()
property_name = field()
def __call__(self, record):
value = record[self.field_name]
if not value:
record[self.field_name] = None
return record
prop = getattr(record[self.field_name], self.property_name)
if callable(prop): prop = prop()
record[self.field_name] = prop
return record
|
(*, field_name, property_name) -> None
|
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] |
45,754 |
easul.process
|
__call__
| null |
def __call__(self, record):
value = record[self.field_name]
if not value:
record[self.field_name] = None
return record
prop = getattr(record[self.field_name], self.property_name)
if callable(prop): prop = prop()
record[self.field_name] = prop
return record
|
(self, record)
|
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] |
45,755 |
easul.process
|
__eq__
|
Method generated by attrs for class GetProperty.
|
# processes are callables which receive a data structure and return a processed version of the data structure
# most of the processes defined here are classes but functions can work as well
from datetime import datetime, date, time
import logging
from typing import Callable, List, Dict, Optional
LOG = logging.getLogger(__name__)
from attrs import define, field
@define(kw_only=True)
class ExcludeFields:
"""
Exclude specified fields from the output data
"""
exclude_fields = field()
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(self, other)
|
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] |
45,761 |
easul.process
|
HandleLtSign
|
Handles presence of a less than prefix in the 'field_name' by reducing it by the amount specified in 'reduce_by' or
if 'replace_value' is set, it will use this value instead.
|
class HandleLtSign:
"""
Handles presence of a less than prefix in the 'field_name' by reducing it by the amount specified in 'reduce_by' or
if 'replace_value' is set, it will use this value instead.
"""
field_name = field()
reduce_by = field(default=None)
replace_value = field(default=None)
def __call__(self, record):
value = record.get(self.field_name)
if not value or type(value) is not str or value[0] != "<":
return record
if not self.reduce_by:
record[self.field_name] = self.replace_value
else:
record[self.field_name] = float(value[1:]) - self.reduce_by
return record
|
(*, field_name, reduce_by=None, replace_value=None) -> None
|
[
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] |
45,762 |
easul.process
|
__call__
| null |
def __call__(self, record):
value = record.get(self.field_name)
if not value or type(value) is not str or value[0] != "<":
return record
if not self.reduce_by:
record[self.field_name] = self.replace_value
else:
record[self.field_name] = float(value[1:]) - self.reduce_by
return record
|
(self, record)
|
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] |
45,763 |
easul.process
|
__eq__
|
Method generated by attrs for class HandleLtSign.
|
# processes are callables which receive a data structure and return a processed version of the data structure
# most of the processes defined here are classes but functions can work as well
from datetime import datetime, date, time
import logging
from typing import Callable, List, Dict, Optional
LOG = logging.getLogger(__name__)
from attrs import define, field
@define(kw_only=True)
class ExcludeFields:
"""
Exclude specified fields from the output data
"""
exclude_fields = field()
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(self, other)
|
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] |
45,769 |
easul.visual.element.element
|
Html
| null |
class Html:
def __init__(self):
self._elements = []
def start_element(self, tag, attrs=None):
if attrs:
attrs = [k + "=\"" + (v if v else "") +"\"" for k,v in attrs.items()]
else:
attrs = []
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list}>")
def end_element(self, tag):
self._elements.append(f"</{tag}>")
def add_text_element(self, tag, text, attrs=None):
self.start_element(tag, attrs)
self._elements.append(text)
self.end_element(tag)
def __repr__(self):
return "".join(self._elements)
def append(self, element):
self._elements.append(element)
def add_element(self, tag, attrs):
attrs = [k + "=\"" + v + "\"" for k, v in attrs.items()]
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list} />")
|
()
|
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] |
45,770 |
easul.visual.element.element
|
__init__
| null |
def __init__(self):
self._elements = []
|
(self)
|
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45,771 |
easul.visual.element.element
|
__repr__
| null |
def __repr__(self):
return "".join(self._elements)
|
(self)
|
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] |
45,772 |
easul.visual.element.element
|
add_element
| null |
def add_element(self, tag, attrs):
attrs = [k + "=\"" + v + "\"" for k, v in attrs.items()]
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list} />")
|
(self, tag, attrs)
|
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] |
45,773 |
easul.visual.element.element
|
add_text_element
| null |
def add_text_element(self, tag, text, attrs=None):
self.start_element(tag, attrs)
self._elements.append(text)
self.end_element(tag)
|
(self, tag, text, attrs=None)
|
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45,774 |
easul.visual.element.element
|
append
| null |
def append(self, element):
self._elements.append(element)
|
(self, element)
|
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easul.visual.element.element
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end_element
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def end_element(self, tag):
self._elements.append(f"</{tag}>")
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] |
45,776 |
easul.visual.element.element
|
start_element
| null |
def start_element(self, tag, attrs=None):
if attrs:
attrs = [k + "=\"" + (v if v else "") +"\"" for k,v in attrs.items()]
else:
attrs = []
attr_list = " ".join(attrs)
self._elements.append(f"<{tag} {attr_list}>")
|
(self, tag, attrs=None)
|
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] |
45,777 |
easul.process
|
IfElseTest
|
Returns 'true_value' or 'false_value' in 'output_field' depending on whether expression evaluates to true or false
when supplied with the record.
|
class IfElseTest:
"""
Returns 'true_value' or 'false_value' in 'output_field' depending on whether expression evaluates to true or false
when supplied with the record.
"""
expression = field()
output_field = field()
true_value = field()
false_value = field()
def __call__(self, record):
record[self.output_field] = self.true_value if self.expression.evaluate(record) else self.false_value
return record
|
(*, expression, output_field, true_value, false_value) -> None
|
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] |
45,778 |
easul.process
|
__call__
| null |
def __call__(self, record):
record[self.output_field] = self.true_value if self.expression.evaluate(record) else self.false_value
return record
|
(self, record)
|
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] |
45,779 |
easul.process
|
__eq__
|
Method generated by attrs for class IfElseTest.
|
# processes are callables which receive a data structure and return a processed version of the data structure
# most of the processes defined here are classes but functions can work as well
from datetime import datetime, date, time
import logging
from typing import Callable, List, Dict, Optional
LOG = logging.getLogger(__name__)
from attrs import define, field
@define(kw_only=True)
class ExcludeFields:
"""
Exclude specified fields from the output data
"""
exclude_fields = field()
def __call__(self, record):
for exclude_field in self.exclude_fields:
if exclude_field in record.keys():
del record[exclude_field]
return record
|
(self, other)
|
[
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] |
45,785 |
easul.action
|
IgnoreMissingData
|
Action which handles missing data and sets an outcome with a default value.
|
class IgnoreMissingData(Action):
"""
Action which handles missing data and sets an outcome with a default value.
"""
default_value = field()
next_step = field()
def missing_data(self, event):
event.outcome = ResultOutcome(outcome_step=event.step, input_data=event.data, next_step = self.next_step, reason="Missing data", result=DefaultResult(value=None, data=self.default_value), value=self.default_value)
|
(*, default_value, next_step) -> None
|
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] |
45,786 |
easul.action
|
__eq__
|
Method generated by attrs for class IgnoreMissingData.
|
"""
"""
import logging
from easul.algorithm.result import DefaultResult
from easul.outcome import ResultOutcome
LOG = logging.getLogger(__name__)
from attrs import define, field
class StopFlow(Exception):
pass
|
(self, other)
|
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] |
45,797 |
easul.action
|
missing_data
| null |
def missing_data(self, event):
event.outcome = ResultOutcome(outcome_step=event.step, input_data=event.data, next_step = self.next_step, reason="Missing data", result=DefaultResult(value=None, data=self.default_value), value=self.default_value)
|
(self, event)
|
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] |
45,798 |
easul.action
|
IgnoreMissingTimebasedData
|
Action which handles missing data and sets a timestamp in the outcome.
|
class IgnoreMissingTimebasedData(IgnoreMissingData):
"""
Action which handles missing data and sets a timestamp in the outcome.
"""
timestamp_field = field()
def missing_data(self, event):
values = self.default_value
values[self.timestamp_field] = event.driver.clock.timestamp
event.outcome = ResultOutcome(outcome_step=event.step, input_data=event.data, next_step = self.next_step, reason="Missing data", result=DefaultResult(value=None, data=values), value=values)
|
(*, default_value, next_step, timestamp_field) -> None
|
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] |
45,799 |
easul.action
|
__eq__
|
Method generated by attrs for class IgnoreMissingTimebasedData.
|
"""
"""
import logging
from easul.algorithm.result import DefaultResult
from easul.outcome import ResultOutcome
LOG = logging.getLogger(__name__)
from attrs import define, field
class StopFlow(Exception):
pass
|
(self, other)
|
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] |
45,810 |
easul.action
|
missing_data
| null |
def missing_data(self, event):
values = self.default_value
values[self.timestamp_field] = event.driver.clock.timestamp
event.outcome = ResultOutcome(outcome_step=event.step, input_data=event.data, next_step = self.next_step, reason="Missing data", result=DefaultResult(value=None, data=values), value=values)
|
(self, event)
|
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] |
45,811 |
easul.data
|
InputEncoder
|
Base encoder which encodes input data according to supplied encoding functions for each field.
|
class InputEncoder:
"""
Base encoder which encodes input data according to supplied encoding functions for each field.
"""
def __init__(self, encodings):
self.encodings = encodings
def encode_input(self, dinput):
for field_name,encoder_fn in self.encodings.items():
col = encoder_fn(field_name, dinput)
dinput.data[field_name] = col
def encode_field(self, field_name, dinput):
encoder_fn = self.encodings.get(field_name)
if not encoder_fn:
return dinput[field_name]
return encoder_fn(field_name, dinput)
def is_field_encoded(self, field_name):
return field_name in self.encodings
|
(encodings)
|
[
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] |
45,812 |
easul.data
|
__init__
| null |
def __init__(self, encodings):
self.encodings = encodings
|
(self, encodings)
|
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] |
45,813 |
easul.data
|
encode_field
| null |
def encode_field(self, field_name, dinput):
encoder_fn = self.encodings.get(field_name)
if not encoder_fn:
return dinput[field_name]
return encoder_fn(field_name, dinput)
|
(self, field_name, dinput)
|
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] |
45,814 |
easul.data
|
encode_input
| null |
def encode_input(self, dinput):
for field_name,encoder_fn in self.encodings.items():
col = encoder_fn(field_name, dinput)
dinput.data[field_name] = col
|
(self, dinput)
|
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