bika.lims.content.abstractbaseanalysis.AbstractBaseAnalysis.isRegistered() - Code Metrics - Inspection of "Disallow entry of analysis results if the sample i..." - senaite/senaite.core - Measure and Improve Code Quality continuously with Scrutinizer

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Push — master ( 5f146e...28e0c7 )

by Jordi
created 2019-01-27 19:52 UTC
AbstractBaseAnalysis.isRegistered() A

↳ Parent: bika.lims.content.abstractbaseanalysis
Complexity

Conditions
Size

Total Lines	7
Code Lines	3
Duplication

Lines	0
Ratio	0 %
Importance

Changes
Metric	Value
eloc	3
dl	0
loc	7
rs	10
c	0
b	0
f	0
cc	1
nop	1
# -*- coding: utf-8 -*-
#
# This file is part of SENAITE.CORE
#
# Copyright 2018 by it's authors.
# Some rights reserved. See LICENSE.rst, CONTRIBUTORS.rst.

from AccessControl import ClassSecurityInfo
from Products.ATExtensions.ateapi import RecordsField
from Products.Archetypes.BaseContent import BaseContent
from Products.Archetypes.Field import BooleanField, FixedPointField, \
    FloatField, IntegerField, StringField, TextField
from Products.Archetypes.Schema import Schema
from Products.Archetypes.Widget import BooleanWidget, DecimalWidget, \
    IntegerWidget, SelectionWidget, StringWidget
from Products.Archetypes.utils import DisplayList, IntDisplayList
from Products.CMFCore.utils import getToolByName
from Products.CMFCore.permissions import View
from bika.lims import api
from bika.lims import bikaMessageFactory as _
from bika.lims.browser.fields import DurationField, UIDReferenceField
from bika.lims.browser.widgets.durationwidget import DurationWidget
from bika.lims.browser.widgets.recordswidget import RecordsWidget
from bika.lims.browser.widgets.referencewidget import ReferenceWidget
from bika.lims.browser.widgets.uidselectionwidget import UIDSelectionWidget
from bika.lims.config import ATTACHMENT_OPTIONS, SERVICE_POINT_OF_CAPTURE
from bika.lims.content.bikaschema import BikaSchema
from bika.lims.interfaces import IBaseAnalysis
from bika.lims.utils import to_utf8 as _c
from zope.interface import implements

# Anywhere that there just isn't space for unpredictably long names,
# this value will be used instead.  It's set on the AnalysisService,
# but accessed on all analysis objects.
ShortTitle = StringField(
    'ShortTitle',
    schemata="Description",
    widget=StringWidget(
        label=_("Short title"),
        description=_(
            "If text is entered here, it is used instead of the title when "
            "the service is listed in column headings. HTML formatting is "
            "allowed.")
    )
)

# A simple integer to sort items.
SortKey = FloatField(
    'SortKey',
    schemata="Description",
    validators=('SortKeyValidator',),
    widget=DecimalWidget(
        label=_("Sort Key"),
        description=_(
            "Float value from 0.0 - 1000.0 indicating the sort order. "
            "Duplicate values are ordered alphabetically."),
    )
)

# Is the title of the analysis a proper Scientific Name?
ScientificName = BooleanField(
    'ScientificName',
    schemata="Description",
    default=False,
    widget=BooleanWidget(
        label=_("Scientific name"),
        description=_(
            "If enabled, the name of the analysis will be written in italics."),
    )
)

# The units of measurement used for representing results in reports and in
# manage_results screen.
Unit = StringField(
    'Unit',
    schemata="Description",
    widget=StringWidget(
        label=_("Unit"),
        description=_(
            "The measurement units for this analysis service' results, e.g. "
            "mg/l, ppm, dB, mV, etc."),
    )
)

# Decimal precision for printing normal decimal results.
Precision = IntegerField(
    'Precision',
    schemata="Analysis",
    widget=IntegerWidget(
        label=_("Precision as number of decimals"),
        description=_(
            "Define the number of decimals to be used for this result."),
    )
)

# If the precision of the results as entered is higher than this value,
# the results will be represented in scientific notation.
ExponentialFormatPrecision = IntegerField(
    'ExponentialFormatPrecision',
    schemata="Analysis",
    required=True,
    default=7,
    widget=IntegerWidget(
        label=_("Exponential format precision"),
        description=_(
            "Define the precision when converting values to exponent "
            "notation.  The default is 7."),
    )
)

# If the value is below this limit, it means that the measurement lacks
# accuracy and this will be shown in manage_results and also on the final
# report.
LowerDetectionLimit = FixedPointField(
    'LowerDetectionLimit',
    schemata="Analysis",
    default='0.0',
    precision=7,
    widget=DecimalWidget(
        label=_("Lower Detection Limit (LDL)"),
        description=_(
            "The Lower Detection Limit is the lowest value to which the "
            "measured parameter can be measured using the specified testing "
            "methodology. Results entered which are less than this value will "
            "be reported as < LDL")
    )
)

# If the value is above this limit, it means that the measurement lacks
# accuracy and this will be shown in manage_results and also on the final
# report.
UpperDetectionLimit = FixedPointField(
    'UpperDetectionLimit',
    schemata="Analysis",
    default='1000000000.0',
    precision=7,
    widget=DecimalWidget(
        label=_("Upper Detection Limit (UDL)"),
        description=_(
            "The Upper Detection Limit is the highest value to which the "
            "measured parameter can be measured using the specified testing "
            "methodology. Results entered which are greater than this value "
            "will be reported as > UDL")
    )
)

# Allow to select LDL or UDL defaults in results with readonly mode
# Some behavior of AnalysisServices is controlled with javascript: If checked,
# the field "AllowManualDetectionLimit" will be displayed.
# See browser/js/bika.lims.analysisservice.edit.js
#
# Use cases:
# a) If "DetectionLimitSelector" is enabled and
# "AllowManualDetectionLimit" is enabled too, then:
# the analyst will be able to select an '>', '<' operand from the
# selection list and also set the LD manually.
#
# b) If "DetectionLimitSelector" is enabled and
# "AllowManualDetectionLimit" is unchecked, the analyst will be
# able to select an operator from the selection list, but not set
# the LD manually: the default LD will be displayed in the result
# field as usuall, but in read-only mode.
#
# c) If "DetectionLimitSelector" is disabled, no LD selector will be
# displayed in the results table.
DetectionLimitSelector = BooleanField(
    'DetectionLimitSelector',
    schemata="Analysis",
    default=False,
    widget=BooleanWidget(
        label=_("Display a Detection Limit selector"),
        description=_(
            "If checked, a selection list will be displayed next to the "
            "analysis' result field in results entry views. By using this "
            "selector, the analyst will be able to set the value as a "
            "Detection Limit (LDL or UDL) instead of a regular result"),
    )
)

# Behavior of AnalysisService controlled with javascript: Only visible when the
# "DetectionLimitSelector" is checked
# See browser/js/bika.lims.analysisservice.edit.js
# Check inline comment for "DetecionLimitSelector" field for
# further information.
AllowManualDetectionLimit = BooleanField(
    'AllowManualDetectionLimit',
    schemata="Analysis",
    default=False,
    widget=BooleanWidget(
        label=_("Allow Manual Detection Limit input"),
        description=_(
            "Allow the analyst to manually replace the default Detection "
            "Limits (LDL and UDL) on results entry views"),
    )
)

# Specify attachment requirements for these analyses
AttachmentOption = StringField(
    'AttachmentOption',
    schemata="Analysis",
    default='p',
    vocabulary=ATTACHMENT_OPTIONS,
    widget=SelectionWidget(
        label=_("Attachment Option"),
        description=_(
            "Indicates whether file attachments, e.g. microscope images, "
            "are required for this analysis and whether file upload function "
            "will be available for it on data capturing screens"),
        format='select',
    )
)

# The keyword for the service is used as an identifier during instrument
# imports, and other places too.  It's also used as the ID analyses.
Keyword = StringField(
    'Keyword',
    schemata="Description",
    required=1,
    searchable=True,
    validators=('servicekeywordvalidator',),
    widget=StringWidget(
        label=_("Analysis Keyword"),
        description=_(
            "The unique keyword used to identify the analysis service in "
            "import files of bulk Sample requests and results imports from "
            "instruments. It is also used to identify dependent analysis "
            "services in user defined results calculations"),
    )
)

# Allow/Disallow manual entry of results
# Behavior of AnalysisServices controlled by javascript depending on
# Instruments field:
# - If InstrumentEntry not checked, set checked and readonly
# - If InstrumentEntry checked, set as not readonly
# See browser/js/bika.lims.analysisservice.edit.js
ManualEntryOfResults = BooleanField(
    'ManualEntryOfResults',
    schemata="Method",
    default=True,
    widget=BooleanWidget(
        label=_("Instrument assignment is not required"),
        description=_(
            "Select if the results for tests of this type of analysis can be "
            "set manually. If selected, the user will be able to set a result "
            "for a test of this type of analysis in manage results view "
            "without the need of selecting an instrument, even though the "
            "method selected for the test has instruments assigned."),
    )
)

# Allow/Disallow instrument entry of results
# Behavior controlled by javascript depending on Instruments field:
# - If no instruments available, hide and uncheck
# - If at least one instrument selected, checked, but not readonly
# See browser/js/bika.lims.analysisservice.edit.js
InstrumentEntryOfResults = BooleanField(
    'InstrumentEntryOfResults',
    schemata="Method",
    default=False,
    widget=BooleanWidget(
        label=_("Instrument assignment is allowed"),
        description=_(
            "Select if the results for tests of this type of analysis can be "
            "set by using an instrument. If disabled, no instruments will be "
            "available for tests of this type of analysis in manage results "
            "view, even though the method selected for the test has "
            "instruments assigned."),
    )
)

# Default instrument to be used.
# Gets populated with the instruments selected in the Instruments field.
# Behavior of AnalysisServices controlled by js depending on
# ManualEntry/Instruments:
# - Populate dynamically with selected Instruments
# - If InstrumentEntry checked, set first selected instrument
# - If InstrumentEntry not checked, hide and set None
# See browser/js/bika.lims.analysisservice.edit.js
Instrument = UIDReferenceField(
    'Instrument',
    read_permission=View,
    write_permission="Field: Edit Result",
    schemata="Method",
    searchable=True,
    required=0,
    vocabulary='_getAvailableInstrumentsDisplayList',
    allowed_types=('Instrument',),
    widget=UIDSelectionWidget(
        format='select',
        label=_("Default Instrument"),
        description=_(
            "This is the instrument that is assigned to  tests from this type "
            "of analysis in manage results view. The method associated to "
            "this instrument will be assigned as the default method too.Note "
            "the instrument's method will prevail over any of the methods "
            "choosen if the 'Instrument assignment is not required' option is "
            "enabled.")
    )
)

# Default method to be used. This field is used in Analysis Service
# Edit view, use getMethod() to retrieve the Method to be used in
# this Analysis Service.
# Gets populated with the methods selected in the multiselection
# box above or with the default instrument's method.
# Behavior controlled by js depending on ManualEntry/Instrument/Methods:
# - If InstrumentEntry checked, set instrument's default method, and readonly
# - If InstrumentEntry not checked, populate dynamically with
#   selected Methods, set the first method selected and non-readonly
# See browser/js/bika.lims.analysisservice.edit.js
Method = UIDReferenceField(
    'Method',
    read_permission=View,
    write_permission="Field: Edit Result",
    schemata="Method",
    required=0,
    searchable=True,
    allowed_types=('Method',),
    vocabulary='_getAvailableMethodsDisplayList',
    widget=UIDSelectionWidget(
        format='select',
        label=_("Default Method"),
        description=_(
            "If 'Allow instrument entry of results' is selected, the method "
            "from the default instrument will be used. Otherwise, only the "
            "methods selected above will be displayed.")
    )
)

# Maximum time (from sample reception) allowed for the analysis to be performed.
# After this amount of time, a late alert is printed, and the analysis will be
# flagged in turnaround time report.
MaxTimeAllowed = DurationField(
    'MaxTimeAllowed',
    schemata="Analysis",
    widget=DurationWidget(
        label=_("Maximum turn-around time"),
        description=_(
            "Maximum time allowed for completion of the analysis. A late "
            "analysis alert is raised when this period elapses"),
    )
)

# The amount of difference allowed between this analysis, and any duplicates.
DuplicateVariation = FixedPointField(
    'DuplicateVariation',
    default='0.00',
    schemata="Method",
    widget=DecimalWidget(
        label=_("Duplicate Variation %"),
        description=_(
            "When the results of duplicate analyses on worksheets, carried "
            "out on the same sample, differ with more than this percentage, "
            "an alert is raised"),
    )
)

# True if the accreditation body has approved this lab's method for
# accreditation.
Accredited = BooleanField(
    'Accredited',
    schemata="Method",
    default=False,
    widget=BooleanWidget(
        label=_("Accredited"),
        description=_(
            "Check this box if the analysis service is included in the "
            "laboratory's schedule of accredited analyses"),
    )
)

# The physical location that the analysis is tested; for some analyses,
# the sampler may capture results at the point where the sample is taken,
# and these results can be captured using different rules.  For example,
# the results may be entered before the sample is received.
PointOfCapture = StringField(
    'PointOfCapture',
    schemata="Description",
    required=1,
    default='lab',
    vocabulary=SERVICE_POINT_OF_CAPTURE,
    widget=SelectionWidget(
        format='flex',
        label=_("Point of Capture"),
        description=_(
            "The results of field analyses are captured during sampling at "
            "the sample point, e.g. the temperature of a water sample in the "
            "river where it is sampled. Lab analyses are done in the "
            "laboratory"),
    )
)

# The category of the analysis service, used for filtering, collapsing and
# reporting on analyses.
Category = UIDReferenceField(
    'Category',
    schemata="Description",
    required=1,
    allowed_types=('AnalysisCategory',),
    vocabulary='getAnalysisCategories',
    widget=ReferenceWidget(
        checkbox_bound=0,
        label=_("Analysis Category"),
        description=_("The category the analysis service belongs to"),
        catalog_name='bika_setup_catalog',
        base_query={'inactive_state': 'active'},
    )
)

# The base price for this analysis
Price = FixedPointField(
    'Price',
    schemata="Description",
    default='0.00',
    widget=DecimalWidget(
        label=_("Price (excluding VAT)"),
    )
)

# Some clients qualify for bulk discounts.
BulkPrice = FixedPointField(
    'BulkPrice',
    schemata="Description",
    default='0.00',
    widget=DecimalWidget(
        label=_("Bulk price (excluding VAT)"),
        description=_(
            "The price charged per analysis for clients who qualify for bulk "
            "discounts"),
    )
)

# If VAT is charged, a different VAT value can be entered for each
# service.  The default value is taken from BikaSetup
VAT = FixedPointField(
    'VAT',
    schemata="Description",
    default_method='getDefaultVAT',
    widget=DecimalWidget(
        label=_("VAT %"),
        description=_("Enter percentage value eg. 14.0"),
    )
)

# The analysis service's Department.  This is used to filter analyses,
# and for indicating the responsibile lab manager in reports.
Department = UIDReferenceField(
    'Department',
    schemata="Description",
    required=0,
    allowed_types=('Department',),
    vocabulary='getDepartments',
    widget=ReferenceWidget(
        checkbox_bound=0,
        label=_("Department"),
        description=_("The laboratory department"),
        catalog_name='bika_setup_catalog',
        base_query={'inactive_state': 'active'},
    )
)

# Uncertainty percentages in results can change depending on the results
# themselves.
Uncertainties = RecordsField(
    'Uncertainties',
    schemata="Uncertainties",
    type='uncertainties',
    subfields=('intercept_min', 'intercept_max', 'errorvalue'),
    required_subfields=(
        'intercept_min', 'intercept_max', 'errorvalue'),
    subfield_sizes={'intercept_min': 10,
                    'intercept_max': 10,
                    'errorvalue': 10,
                    },
    subfield_labels={'intercept_min': _('Range min'),
                     'intercept_max': _('Range max'),
                     'errorvalue': _('Uncertainty value'),
                     },
    subfield_validators={'intercept_min': 'uncertainties_validator',
                         'intercept_max': 'uncertainties_validator',
                         'errorvalue': 'uncertainties_validator',
                         },
    widget=RecordsWidget(
        label=_("Uncertainty"),
        description=_(
            "Specify the uncertainty value for a given range, e.g. for "
            "results in a range with minimum of 0 and maximum of 10, "
            "where the uncertainty value is 0.5 - a result of 6.67 will be "
            "reported as 6.67 +- 0.5. You can also specify the uncertainty "
            "value as a percentage of the result value, by adding a '%' to "
            "the value entered in the 'Uncertainty Value' column, e.g. for "
            "results in a range with minimum of 10.01 and a maximum of 100, "
            "where the uncertainty value is 2% - a result of 100 will be "
            "reported as 100 +- 2. Please ensure successive ranges are "
            "continuous, e.g. 0.00 - 10.00 is followed by 10.01 - 20.00, "
            "20.01 - 30 .00 etc."),
    )
)

# Calculate the precision from Uncertainty value
# Behavior controlled by javascript
# - If checked, Precision and ExponentialFormatPrecision are not displayed.
#   The precision will be calculated according to the uncertainty.
# - If checked, Precision and ExponentialFormatPrecision will be displayed.
# See browser/js/bika.lims.analysisservice.edit.js
PrecisionFromUncertainty = BooleanField(
    'PrecisionFromUncertainty',
    schemata="Uncertainties",
    default=False,
    widget=BooleanWidget(
        label=_("Calculate Precision from Uncertainties"),
        description=_(
            "Precision as the number of significant digits according to the "
            "uncertainty. The decimal position will be given by the first "
            "number different from zero in the uncertainty, at that position "
            "the system will round up the uncertainty and results. For "
            "example, with a result of 5.243 and an uncertainty of 0.22, "
            "the system will display correctly as 5.2+-0.2. If no uncertainty "
            "range is set for the result, the system will use the fixed "
            "precision set."),
    )
)

# If checked, an additional input with the default uncertainty will
# be displayed in the manage results view. The value set by the user
# in this field will override the default uncertainty for the analysis
# result
AllowManualUncertainty = BooleanField(
    'AllowManualUncertainty',
    schemata="Uncertainties",
    default=False,
    widget=BooleanWidget(
        label=_("Allow manual uncertainty value input"),
        description=_(
            "Allow the analyst to manually replace the default uncertainty "
            "value."),
    )
)

# Results can be selected from a dropdown list.  This prevents the analyst
# from entering arbitrary values.  Each result must have a ResultValue, which
# must be a number - it is this number which is interpreted as the actual
# "Result" when applying calculations.
ResultOptions = RecordsField(
    'ResultOptions',
    schemata="Result Options",
    type='resultsoptions',
    subfields=('ResultValue', 'ResultText'),
    required_subfields=('ResultValue', 'ResultText'),
    subfield_labels={'ResultValue': _('Result Value'),
                     'ResultText': _('Display Value'), },
    subfield_validators={'ResultValue': 'resultoptionsvalidator',
                         'ResultText': 'resultoptionsvalidator'},
    subfield_sizes={'ResultValue': 5,
                    'ResultText': 25,},
    subfield_maxlength={'ResultValue': 5,
                        'ResultText': 255,},
    widget=RecordsWidget(
        label=_("Result Options"),
        description=_(
            "Please list all options for the analysis result if you want to "
            "restrict it to specific options only, e.g. 'Positive', "
            "'Negative' and 'Indeterminable'.  The option's result value must "
            "be a number"),
    )
)

# If the service is meant for providing an interim result to another analysis,
# or if the result is only used for internal processes, then it can be hidden
# from the client in the final report (and in manage_results view)
Hidden = BooleanField(
    'Hidden',
    schemata="Analysis",
    default=False,
    read_permission=View,
    write_permission="Field: Edit Hidden",
    widget=BooleanWidget(
        label=_("Hidden"),
        description=_(
            "If enabled, this analysis and its results will not be displayed "
            "by default in reports. This setting can be overrided in Analysis "
            "Profile and/or Sample"),
    )
)

# Permit a user to verify their own results.  This could invalidate the
# accreditation for the results of this analysis!
SelfVerification = IntegerField(
    'SelfVerification',
    schemata="Analysis",
    default=-1,
    vocabulary="_getSelfVerificationVocabulary",
    widget=SelectionWidget(
        label=_("Self-verification of results"),
        description=_(
            "If enabled, a user who submitted a result for this analysis "
            "will also be able to verify it. This setting take effect for "
            "those users with a role assigned that allows them to verify "
            "results (by default, managers, labmanagers and verifiers). "
            "The option set here has priority over the option set in Bika "
            "Setup"),
        format="select",
    )
)

# Require more than one verification by separate Verifier or LabManager users.
NumberOfRequiredVerifications = IntegerField(
    'NumberOfRequiredVerifications',
    schemata="Analysis",
    default=-1,
    vocabulary="_getNumberOfRequiredVerificationsVocabulary",
    widget=SelectionWidget(
        label=_("Number of required verifications"),
        description=_(
            "Number of required verifications from different users with "
            "enough privileges before a given result for this analysis "
            "being considered as 'verified'. The option set here has "
            "priority over the option set in Bika Setup"),
        format="select",
    )
)

# Just a string displayed on various views
CommercialID = StringField(
    'CommercialID',
    searchable=1,
    schemata='Description',
    required=0,
    widget=StringWidget(
        label=_("Commercial ID"),
        description=_("The service's commercial ID for accounting purposes")
    )
)

# Just a string displayed on various views
ProtocolID = StringField(
    'ProtocolID',
    searchable=1,
    schemata='Description',
    required=0,
    widget=StringWidget(
        label=_("Protocol ID"),
        description=_("The service's analytical protocol ID")
    )
)

# Remarks are used in various ways by almost all objects in the system.
Remarks = TextField(
    'Remarks',
    read_permission=View,
    write_permission="Field: Edit Remarks",
    schemata='Description'
)

schema = BikaSchema.copy() + Schema((
    ShortTitle,
    SortKey,
    CommercialID,
    ProtocolID,
    ScientificName,
    Unit,
    Precision,
    ExponentialFormatPrecision,
    LowerDetectionLimit,
    UpperDetectionLimit,
    DetectionLimitSelector,
    AllowManualDetectionLimit,
    AttachmentOption,
    Keyword,
    ManualEntryOfResults,
    InstrumentEntryOfResults,
    Instrument,
    Method,
    MaxTimeAllowed,
    DuplicateVariation,
    Accredited,
    PointOfCapture,
    Category,
    Price,
    BulkPrice,
    VAT,
    Department,
    Uncertainties,
    PrecisionFromUncertainty,
    AllowManualUncertainty,
    ResultOptions,
    Hidden,
    SelfVerification,
    NumberOfRequiredVerifications,
    Remarks
))

schema['id'].widget.visible = False
schema['description'].schemata = 'Description'
schema['description'].widget.visible = True
schema['title'].required = True
schema['title'].widget.visible = True
schema['title'].schemata = 'Description'
schema['title'].validators = ()
# Update the validation layer after change the validator in runtime
schema['title']._validationLayer()


class AbstractBaseAnalysis(BaseContent):  # TODO BaseContent?  is really needed?
    implements(IBaseAnalysis)
    security = ClassSecurityInfo()
    schema = schema

    displayContentsTab = False

    @security.public
    def _getCatalogTool(self):
        from bika.lims.catalog import getCatalog
        return getCatalog(self)

    @security.public
    def Title(self):
        return _c(self.title)

    @security.public
    def getDefaultVAT(self):
        """Return default VAT from bika_setup
        """
        try:
            vat = self.bika_setup.getVAT()
            return vat
        except ValueError:
            return "0.00"

    @security.public
    def getVATAmount(self):
        """Compute VAT Amount from the Price and system configured VAT
        """
        price, vat = self.getPrice(), self.getVAT()
        return float(price) * (float(vat) / 100)

    @security.public
    def getDiscountedPrice(self):
        """Compute discounted price excl. VAT
        """
        price = self.getPrice()
        price = price and price or 0
        discount = self.bika_setup.getMemberDiscount()
        discount = discount and discount or 0
        return float(price) - (float(price) * float(discount)) / 100

    @security.public
    def getDiscountedBulkPrice(self):
        """Compute discounted bulk discount excl. VAT
        """
        price = self.getBulkPrice()
        price = price and price or 0
        discount = self.bika_setup.getMemberDiscount()
        discount = discount and discount or 0
        return float(price) - (float(price) * float(discount)) / 100

    @security.public
    def getTotalPrice(self):
        """Compute total price including VAT
        """
        price = self.getPrice()
        vat = self.getVAT()
        price = price and price or 0
        vat = vat and vat or 0
        return float(price) + (float(price) * float(vat)) / 100

    @security.public
    def getTotalBulkPrice(self):
        """Compute total bulk price
        """
        price = self.getBulkPrice()
        vat = self.getVAT()
        price = price and price or 0
        vat = vat and vat or 0
        return float(price) + (float(price) * float(vat)) / 100

    @security.public
    def getTotalDiscountedPrice(self):
        """Compute total discounted price
        """
        price = self.getDiscountedPrice()
        vat = self.getVAT()
        price = price and price or 0
        vat = vat and vat or 0
        return float(price) + (float(price) * float(vat)) / 100

    @security.public
    def getTotalDiscountedBulkPrice(self):
        """Compute total discounted corporate bulk price
        """
        price = self.getDiscountedCorporatePrice()
        vat = self.getVAT()
        price = price and price or 0
        vat = vat and vat or 0
        return float(price) + (float(price) * float(vat)) / 100

    @security.public

    def getAnalysisCategories(self):
        """A vocabulary listing available (and activated) categories.
        """
        bsc = getToolByName(self, 'bika_setup_catalog')
        cats = bsc(portal_type='AnalysisCategory', inactive_state='active')
        items = [(o.UID, o.Title) for o in cats]
        o = self.getCategory()
        if o and o.UID() not in [i[0] for i in items]:
            items.append((o.UID(), o.Title()))
        items.sort(lambda x, y: cmp(x[1], y[1]))
        return DisplayList(list(items))

    @security.public

    def getDepartments(self):
        """A vocabulary listing available (and activated) departments.
        """
        bsc = getToolByName(self, 'bika_setup_catalog')
        items = [('', '')] + [(o.UID, o.Title) for o in
                              bsc(portal_type='Department',
                                  inactive_state='active')]
        o = self.getDepartment()
        if o and o.UID() not in [i[0] for i in items]:
            items.append((o.UID(), o.Title()))
        items.sort(lambda x, y: cmp(x[1], y[1]))
        return DisplayList(list(items))

    @security.public
    def getLowerDetectionLimit(self):
        """Returns the Lower Detection Limit for this service as a floatable
        """
        ldl = self.getField('LowerDetectionLimit').get(self)
        try:
            return float(ldl)
        except ValueError:
            return 0

    @security.public
    def getUpperDetectionLimit(self):
        """Returns the Upper Detection Limit for this service as a floatable
        """
        udl = self.getField('UpperDetectionLimit').get(self)
        try:
            return float(udl)
        except ValueError:
            return 0

    @security.public
    def isSelfVerificationEnabled(self):
        """Returns if the user that submitted a result for this analysis must
        also be able to verify the result
        :returns: true or false
        """
        bsve = self.bika_setup.getSelfVerificationEnabled()
        vs = self.getSelfVerification()
        return bsve if vs == -1 else vs == 1

    @security.public
    def _getSelfVerificationVocabulary(self):
        """Returns a DisplayList with the available options for the
        self-verification list: 'system default', 'true', 'false'
        :returns: DisplayList with the available options for the
        self-verification list
        """
        bsve = self.bika_setup.getSelfVerificationEnabled()
        bsve = _('Yes') if bsve else _('No')
        bsval = "%s (%s)" % (_("System default"), bsve)
        items = [(-1, bsval), (0, _('No')), (1, _('Yes'))]
        return IntDisplayList(list(items))

    @security.public
    def getNumberOfRequiredVerifications(self):
        """Returns the number of required verifications a test for this
        analysis requires before being transitioned to 'verified' state
        :returns: number of required verifications
        """
        num = self.getField('NumberOfRequiredVerifications').get(self)
        if num < 1:
            return self.bika_setup.getNumberOfRequiredVerifications()
        return num

    @security.public
    def _getNumberOfRequiredVerificationsVocabulary(self):
        """Returns a DisplayList with the available options for the
        multi-verification list: 'system default', '1', '2', '3', '4'
        :returns: DisplayList with the available options for the
        multi-verification list
        """
        bsve = self.bika_setup.getNumberOfRequiredVerifications()
        bsval = "%s (%s)" % (_("System default"), str(bsve))
        items = [(-1, bsval), (1, '1'), (2, '2'), (3, '3'), (4, '4')]
        return IntDisplayList(list(items))

    @security.public
    def getMethodTitle(self):
        """This is used to populate catalog values
        """
        method = self.getMethod()
        if method:
            return method.Title()

    @security.public
    def getMethodUID(self):
        """This is used to populate catalog values
        """
        method = self.getMethod()
        if method:
            return method.UID()

    @security.public
    def getMethodURL(self):
        """This is used to populate catalog values
        """
        method = self.getMethod()
        if method:
            return method.absolute_url_path()

    @security.public
    def getInstrumentTitle(self):
        """Used to populate catalog values
        """
        instrument = self.getInstrument()
        if instrument:
            return instrument.Title()

    @security.public
    def getInstrumentUID(self):
        """Used to populate catalog values
        """
        instrument = self.getInstrument()
        if instrument:
            return instrument.UID()

    @security.public
    def getInstrumentURL(self):
        """Used to populate catalog values
        """
        instrument = self.getInstrument()
        if instrument:
            return instrument.absolute_url_path()

    @security.public
    def getCategoryTitle(self):
        """Used to populate catalog values
        """
        category = self.getCategory()
        if category:
            return category.Title()

    @security.public
    def getCategoryUID(self):
        """Used to populate catalog values
        """
        category = self.getCategory()
        if category:
            return category.UID()

    @security.public
    def getDepartmentTitle(self):
        """Used to populate catalog values
        """
        department = self.getDepartment()
        if department:
            return department.Title()

    @security.public
    def getMaxTimeAllowed(self):
        """Returns the maximum turnaround time for this analysis. If no TAT is
        set for this particular analysis, it returns the value set at setup
        return: a dictionary with the keys "days", "hours" and "minutes"
        """
        tat = self.Schema().getField("MaxTimeAllowed").get(self)
        return tat or self.bika_setup.getDefaultTurnaroundTime()

    @security.public
    def isOpen(self):
        """Checks if the Analysis is either in "assigned" or "unassigned" state

        return: True if the WF state is either "assigned" or "unassigned"
        """
        return api.get_workflow_status_of(self) in ["assigned", "unassigned"]

    @security.public
    def isRegistered(self):
        """Checks if the Analysis is in "registered" state

        return: True if the WF state is "registered"
        """
        return api.get_workflow_status_of(self) in ["registered"]

senaite / senaite.core

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