bika.lims.workflow.analysisrequest.guards.guard_submit() - Code Metrics - Inspection of "Make primary samples to not follow partitions labe..." - senaite/senaite.core - Measure and Improve Code Quality continuously with Scrutinizer

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by Ramon

created 2019-06-13 13:16 UTC

guard_submit() B

↳ Parent: bika.lims.workflow.analysisrequest.guards

Complexity

Conditions

Size

Total Lines	26
Code Lines	15

Duplication

Lines	26
Ratio	100 %

Importance

Changes

Metric	Value
eloc	15
dl	26
loc	26
rs	8.6666
c	0
b	0
f	0
cc	6
nop	1

# -*- coding: utf-8 -*-
#
# This file is part of SENAITE.CORE.
#
# SENAITE.CORE is free software: you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Software
# Foundation, version 2.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the GNU General Public License along with
# this program; if not, write to the Free Software Foundation, Inc., 51
# Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#
# Copyright 2018-2019 by it's authors.
# Some rights reserved, see README and LICENSE.

from bika.lims import api
from bika.lims.interfaces import IVerified, IInternalUse
from bika.lims.workflow import isTransitionAllowed

# States to be omitted in regular transitions
ANALYSIS_DETACHED_STATES = ['cancelled', 'rejected', 'retracted']


def guard_no_sampling_workflow(analysis_request):
    """Returns whether the transition "no_sampling_workflow" can be performed
    or not. Returns True when Sampling Workflow is not enabled in setup
    """
    return not analysis_request.getSamplingRequired()


def guard_to_be_sampled(analysis_request):
    """Returns whether the transition "to_be_sampled" can be performed or not.
    Returns True if Sampling Workflow is enabled for the analysis request
    """
    return analysis_request.getSamplingRequired()


def guard_schedule_sampling(analysis_request):
    """Return whether the transition "schedule_sampling" can be performed or not
    Returns True only when the schedule sampling workflow is enabled in setup.
    """
    return analysis_request.bika_setup.getScheduleSamplingEnabled()


def guard_create_partitions(analysis_request):
    """Returns true if partitions can be created using the analysis request
    passed in as the source.
    """
    if analysis_request.isPartition():
        # Do not allow the creation of partitions from partitions
        return False

    # Allow only the creation of partitions if all analyses from the Analysis
    # Request are in unassigned state. Otherwise, we could end up with
    # inconsistencies, because original analyses are deleted when the partition
    # is created. Note here we exclude analyses from children (partitions).
    analyses = analysis_request.objectValues("Analysis")
    for analysis in analyses:
        if api.get_workflow_status_of(analysis) != "unassigned":
            return False
    return analyses and True or False


def guard_submit(analysis_request):

    """Return whether the transition "submit" can be performed or not.
    Returns True if there is at least one analysis in a non-detached state and
    all analyses in a non-detached analyses have been submitted.
    """
    # Discard detached analyses
    analyses = analysis_request.getAnalyses(full_objects=True)
    analyses = filter(lambda an: api.get_workflow_status_of(an) not in
                                 ANALYSIS_DETACHED_STATES, analyses)

    # If not all analyses are for internal use, rely on "regular" analyses
    internals = map(IInternalUse.providedBy, analyses)
    omit_internals = not all(internals)

    analyses_ready = False
    for analysis in analyses:
        # Omit analyses for internal use
        if omit_internals and IInternalUse.providedBy(analysis):
            continue

        analysis_status = api.get_workflow_status_of(analysis)
        if analysis_status in ['assigned', 'unassigned', 'registered']:
            return False

        analyses_ready = True
    return analyses_ready


def guard_verify(analysis_request):

    """Returns whether the transition "verify" can be performed or not.
    Returns True if at there is at least one analysis in a non-dettached state
    and all analyses in a non-detached state are in "verified" state.
    """
    # Discard detached analyses
    analyses = analysis_request.getAnalyses(full_objects=True)
    analyses = filter(lambda an: api.get_workflow_status_of(an) not in
                                 ANALYSIS_DETACHED_STATES, analyses)

    # If not all analyses are for internal use, rely on "regular" analyses
    internals = map(IInternalUse.providedBy, analyses)
    omit_internals = not all(internals)

    analyses_ready = False
    for analysis in analyses:
        # Omit analyses for internal use
        if omit_internals and IInternalUse.providedBy(analysis):
            continue

        # All analyses must be in verified (or further) status
        if not IVerified.providedBy(analysis):
            return False

        analyses_ready = True
    return analyses_ready


def guard_prepublish(analysis_request):
    """Returns whether 'prepublish' transition can be perform or not. Returns
    True if the analysis request has at least one analysis in 'verified' or in
    'to_be_verified' status. Otherwise, return False
    """
    if IInternalUse.providedBy(analysis_request):
        return False

    valid_states = ['verified', 'to_be_verified']
    for analysis in analysis_request.getAnalyses():
        analysis = api.get_object(analysis)
        if api.get_workflow_status_of(analysis) in valid_states:
            return True
    return False


def guard_publish(analysis_request):
    """Returns whether the transition "publish" can be performed or not.
    Returns True if the analysis request is not labeled for internal use or if
    at least one of the contained analyses is not for internal use
    """
    if IInternalUse.providedBy(analysis_request):
        return False
    # Note we return True without checking anything else because this
    # transition is only available when sample is in verified status
    return True


def guard_rollback_to_receive(analysis_request):
    """Return whether 'rollback_to_receive' transition can be performed or not.
    Returns True if the analysis request has at least one analysis in 'assigned'
    or 'unassigned' status. Otherwise, returns False
    """
    skipped = 0
    valid_states = ['unassigned', 'assigned']
    skip_states = ['retracted', 'rejected']
    analyses = analysis_request.getAnalyses()
    for analysis in analyses:
        analysis = api.get_object(analysis)
        status = api.get_workflow_status_of(analysis)
        if status in valid_states:
            return True
        elif status in skip_states:
            skipped += 1
    return len(analyses) == skipped


def guard_cancel(analysis_request):
    """Returns whether 'cancel' transition can be performed or not. Returns
    True only if all analyses are in "unassigned" status
    """
    # Ask to partitions
    for partition in analysis_request.getDescendants(all_descendants=False):
        if not isTransitionAllowed(partition, "cancel"):
            return False

    # Look through analyses. We've checked the partitions already, so there is
    # no need to look through analyses from partitions again, but through the
    # analyses directly bound to the current Analysis Request.
    cancellable_states = ["unassigned", "registered"]
    for analysis in analysis_request.objectValues("Analysis"):
        if api.get_workflow_status_of(analysis) not in cancellable_states:
            return False

    return True


def guard_reinstate(analysis_request):
    """Returns whether 'reinstate" transition can be performed or not. Returns
    True only if this is not a partition or the parent analysis request can be
    reinstated or is not in a cancelled state
    """
    parent = analysis_request.getParentAnalysisRequest()
    if not parent:
        return True
    if api.get_workflow_status_of(parent) != "cancelled":
        return True
    return isTransitionAllowed(parent, "reinstate")


def guard_sample(analysis_request):
    """Returns whether 'sample' transition can be performed or not. Returns
    True only if the analysis request has the DateSampled and Sampler set or if
    the user belongs to the Samplers group
    """
    if analysis_request.getDateSampled() and analysis_request.getSampler():
        return True

    current_user = api.get_current_user()
    return "Sampler" in current_user.getRolesInContext(analysis_request)


def guard_reject(analysis_request):
    """Returns whether 'reject' transition can be performed or not. Returns
    True only if setup's isRejectionWorkflowEnabled is True
    """
    return analysis_request.bika_setup.isRejectionWorkflowEnabled()


1		# -- coding: utf-8 --
2		#
3		# This file is part of SENAITE.CORE.
4		#
5		# SENAITE.CORE is free software: you can redistribute it and/or modify it under
6		# the terms of the GNU General Public License as published by the Free Software
7		# Foundation, version 2.
8		#
9		# This program is distributed in the hope that it will be useful, but WITHOUT
10		# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
11		# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
12		# details.
13		#
14		# You should have received a copy of the GNU General Public License along with
15		# this program; if not, write to the Free Software Foundation, Inc., 51
16		# Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
17		#
18		# Copyright 2018-2019 by it's authors.
19		# Some rights reserved, see README and LICENSE.
20
21		from bika.lims import api
22		from bika.lims.interfaces import IVerified, IInternalUse
23		from bika.lims.workflow import isTransitionAllowed
24
25		# States to be omitted in regular transitions
26		ANALYSIS_DETACHED_STATES = ['cancelled', 'rejected', 'retracted']
27
28
29		def guard_no_sampling_workflow(analysis_request):
30		"""Returns whether the transition "no_sampling_workflow" can be performed
31		or not. Returns True when Sampling Workflow is not enabled in setup
32		"""
33		return not analysis_request.getSamplingRequired()
34
35
36		def guard_to_be_sampled(analysis_request):
37		"""Returns whether the transition "to_be_sampled" can be performed or not.
38		Returns True if Sampling Workflow is enabled for the analysis request
39		"""
40		return analysis_request.getSamplingRequired()
41
42
43		def guard_schedule_sampling(analysis_request):
44		"""Return whether the transition "schedule_sampling" can be performed or not
45		Returns True only when the schedule sampling workflow is enabled in setup.
46		"""
47		return analysis_request.bika_setup.getScheduleSamplingEnabled()
48
49
50		def guard_create_partitions(analysis_request):
51		"""Returns true if partitions can be created using the analysis request
52		passed in as the source.
53		"""
54		if analysis_request.isPartition():
55		# Do not allow the creation of partitions from partitions
56		return False
57
58		# Allow only the creation of partitions if all analyses from the Analysis
59		# Request are in unassigned state. Otherwise, we could end up with
60		# inconsistencies, because original analyses are deleted when the partition
61		# is created. Note here we exclude analyses from children (partitions).
62		analyses = analysis_request.objectValues("Analysis")
63		for analysis in analyses:
64		if api.get_workflow_status_of(analysis) != "unassigned":
65		return False
66		return analyses and True or False
67
68
69	View Code Duplication	def guard_submit(analysis_request):
		0 ignored issues – show Duplication introduced 2019-06-13 08:23 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
70		"""Return whether the transition "submit" can be performed or not.
71		Returns True if there is at least one analysis in a non-detached state and
72		all analyses in a non-detached analyses have been submitted.
73		"""
74		# Discard detached analyses
75		analyses = analysis_request.getAnalyses(full_objects=True)
76		analyses = filter(lambda an: api.get_workflow_status_of(an) not in
77		ANALYSIS_DETACHED_STATES, analyses)
78
79		# If not all analyses are for internal use, rely on "regular" analyses
80		internals = map(IInternalUse.providedBy, analyses)
81		omit_internals = not all(internals)
82
83		analyses_ready = False
84		for analysis in analyses:
85		# Omit analyses for internal use
86		if omit_internals and IInternalUse.providedBy(analysis):
87		continue
88
89		analysis_status = api.get_workflow_status_of(analysis)
90		if analysis_status in ['assigned', 'unassigned', 'registered']:
91		return False
92
93		analyses_ready = True
94		return analyses_ready
95
96
97	View Code Duplication	def guard_verify(analysis_request):
		0 ignored issues – show Duplication introduced 2019-06-13 08:23 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
98		"""Returns whether the transition "verify" can be performed or not.
99		Returns True if at there is at least one analysis in a non-dettached state
100		and all analyses in a non-detached state are in "verified" state.
101		"""
102		# Discard detached analyses
103		analyses = analysis_request.getAnalyses(full_objects=True)
104		analyses = filter(lambda an: api.get_workflow_status_of(an) not in
105		ANALYSIS_DETACHED_STATES, analyses)
106
107		# If not all analyses are for internal use, rely on "regular" analyses
108		internals = map(IInternalUse.providedBy, analyses)
109		omit_internals = not all(internals)
110
111		analyses_ready = False
112		for analysis in analyses:
113		# Omit analyses for internal use
114		if omit_internals and IInternalUse.providedBy(analysis):
115		continue
116
117		# All analyses must be in verified (or further) status
118		if not IVerified.providedBy(analysis):
119		return False
120
121		analyses_ready = True
122		return analyses_ready
123
124
125		def guard_prepublish(analysis_request):
126		"""Returns whether 'prepublish' transition can be perform or not. Returns
127		True if the analysis request has at least one analysis in 'verified' or in
128		'to_be_verified' status. Otherwise, return False
129		"""
130		if IInternalUse.providedBy(analysis_request):
131		return False
132
133		valid_states = ['verified', 'to_be_verified']
134		for analysis in analysis_request.getAnalyses():
135		analysis = api.get_object(analysis)
136		if api.get_workflow_status_of(analysis) in valid_states:
137		return True
138		return False
139
140
141		def guard_publish(analysis_request):
142		"""Returns whether the transition "publish" can be performed or not.
143		Returns True if the analysis request is not labeled for internal use or if
144		at least one of the contained analyses is not for internal use
145		"""
146		if IInternalUse.providedBy(analysis_request):
147		return False
148		# Note we return True without checking anything else because this
149		# transition is only available when sample is in verified status
150		return True
151
152
153		def guard_rollback_to_receive(analysis_request):
154		"""Return whether 'rollback_to_receive' transition can be performed or not.
155		Returns True if the analysis request has at least one analysis in 'assigned'
156		or 'unassigned' status. Otherwise, returns False
157		"""
158		skipped = 0
159		valid_states = ['unassigned', 'assigned']
160		skip_states = ['retracted', 'rejected']
161		analyses = analysis_request.getAnalyses()
162		for analysis in analyses:
163		analysis = api.get_object(analysis)
164		status = api.get_workflow_status_of(analysis)
165		if status in valid_states:
166		return True
167		elif status in skip_states:
168		skipped += 1
169		return len(analyses) == skipped
170
171
172		def guard_cancel(analysis_request):
173		"""Returns whether 'cancel' transition can be performed or not. Returns
174		True only if all analyses are in "unassigned" status
175		"""
176		# Ask to partitions
177		for partition in analysis_request.getDescendants(all_descendants=False):
178		if not isTransitionAllowed(partition, "cancel"):
179		return False
180
181		# Look through analyses. We've checked the partitions already, so there is
182		# no need to look through analyses from partitions again, but through the
183		# analyses directly bound to the current Analysis Request.
184		cancellable_states = ["unassigned", "registered"]
185		for analysis in analysis_request.objectValues("Analysis"):
186		if api.get_workflow_status_of(analysis) not in cancellable_states:
187		return False
188
189		return True
190
191
192		def guard_reinstate(analysis_request):
193		"""Returns whether 'reinstate" transition can be performed or not. Returns
194		True only if this is not a partition or the parent analysis request can be
195		reinstated or is not in a cancelled state
196		"""
197		parent = analysis_request.getParentAnalysisRequest()
198		if not parent:
199		return True
200		if api.get_workflow_status_of(parent) != "cancelled":
201		return True
202		return isTransitionAllowed(parent, "reinstate")
203
204
205		def guard_sample(analysis_request):
206		"""Returns whether 'sample' transition can be performed or not. Returns
207		True only if the analysis request has the DateSampled and Sampler set or if
208		the user belongs to the Samplers group
209		"""
210		if analysis_request.getDateSampled() and analysis_request.getSampler():
211		return True
212
213		current_user = api.get_current_user()
214		return "Sampler" in current_user.getRolesInContext(analysis_request)
215
216
217		def guard_reject(analysis_request):
218		"""Returns whether 'reject' transition can be performed or not. Returns
219		True only if setup's isRejectionWorkflowEnabled is True
220		"""
221		return analysis_request.bika_setup.isRejectionWorkflowEnabled()
222

senaite / senaite.core

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guard_submit() B

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