def test_actions(self):
def _available_events(user):
actions = (switching_actions(user, self.idea) +
recommendation_actions(user, self.idea))
return [item[1] for item in actions]
WFEvents = get_workflow().WFEvents
# submit the idea
self.process_event(self.author, WFEvents.SUBMIT_EVENT)
self.assertEqual(self.facilitator, self.idea.wf_context.assignated_fi)
# here is the scenario that we're going to run
scenario = (
(self.facilitator, WFEvents.ASK_INFORMATIONS_EVENT),
(self.author, WFEvents.SUBMIT_EVENT),
(self.facilitator, WFEvents.SEND_DI_EVENT),
(self.developer, WFEvents.REFUSE_EVENT),
(self.developer, WFEvents.REOPEN_EVENT),
(self.developer, WFEvents.APPROVAL_EVENT),
(self.admin, WFEvents.DISTURBING_IDEA_EVENT),
(self.admin, WFEvents.NOT_DISTURBING_IDEA_EVENT),
(self.admin, WFEvents.SELECT_EVENT),
(self.admin, WFEvents.SEND_PROJECT_EVENT),
(self.admin, WFEvents.SEND_PROTOTYPE_EVENT),
(self.admin, WFEvents.EXTEND_EVENT),
)
for user, event in scenario:
self.assertIn(event, _available_events(user))
self.process_event(user, event)
def get_idea_events(event_filter=None):
# get a mixture of Comments & comments sorted by submission_date
q1 = session.query(WFCommentData.submission_date.label('date'),
UserData.uid.label('user_uid'),
StateData.label.label('event'),
IdeaData.id.label('idea_id'))
q1 = q1.join(WFCommentData.to_state, WFCommentData.created_by,
WFCommentData.idea_wf, IdeaWFContextData.idea)
q2 = session.query(CommentData.submission_date.label('date'),
UserData.uid.label('user_uid'),
literal(u'COMMENT').label('event'),
IdeaData.id.label('idea_id'))
q2 = q2.join(CommentData.created_by, CommentData.idea, IdeaData.wf_context,
IdeaWFContextData.state)
# mask comments for ideas that are not in a published state
q2 = q2.filter(StateData.label.in_(get_workflow().get_published_states()))
q = q1.union(q2)
# mask ideas that are currently in the dsig_basket_state
q = q.filter(~IdeaData.id.in_(get_dsig_basket_state_ideas()))
if event_filter:
q = q.filter(column('event').in_(event_filter))
q = q.order_by(desc('date'))
return q
def launched_ideas_step_filters():
workflow = get_workflow()
return [
IdeaStateFilter('PROJECT_STEP', _(u'PROJECT_STEP'), workflow.get_project_states()),
IdeaStateFilter('PROTOTYPE_STEP', _(u'PROTOTYPE_STEP'), workflow.get_prototype_states()),
IdeaStateFilter('EXTENDED_STEP', _(u'EXTENDED_STEP'), workflow.get_extended_states()),
]
def create(self, title, description, impact, submitted_by, domain,
challenge=None, tags=None, submission_date=None, **kw):
# FIXME: this code should be the default constructor of the IdeaData
idea = IdeaData(**kw)
idea.title = title
idea.description = description
idea.impact = impact
idea.submitted_by = submitted_by
idea.domain = domain
idea.challenge = challenge
idea.tags = tags or []
idea.submission_date = submission_date or datetime.now()
idea.authors = [submitted_by] # at least
# initialize a workflow context
# FIXME: this code should be the default constructor of the IdeaWFContextData
initial_state = StateData.get_by(
label=get_workflow().WFStates.INITIAL_STATE)
idea.wf_context = IdeaWFContextData()
idea.wf_context.state = initial_state
# initialize an evaluation context
# FIXME: should be initialized at the moment when the idea is submitted (i.e. enters in the workflow...)
idea.eval_context = IdeaEvalContextData()
idea.eval_context.title = title
idea.eval_context.description = description
idea.eval_context.impact = impact
return idea
def state_filters():
"""
Returns a list of IdeaStateFilter for each step
"""
workflow = get_workflow()
return [
IdeaStateFilter('SUBMITTED_STEP', _(u'SUBMITTED_STEP'),
workflow.get_submitted_states()),
IdeaStateFilter('STUDY_STEP', _(u'STUDY_STEP'),
workflow.get_study_states()),
IdeaStateFilter('SUGGESTED_STEP', _(u'SUGGESTED_STEP'),
workflow.get_approved_states()),
IdeaStateFilter('SELECTED_STEP', _(u'SELECTED_STEP'),
workflow.get_selected_states()),
IdeaStateFilter('PROJECT_STEP', _(u'PROJECT_STEP'),
workflow.get_project_states()),
IdeaStateFilter('PROTOTYPE_STEP', _(u'PROTOTYPE_STEP'),
workflow.get_prototype_states()),
IdeaStateFilter('EXTENDED_STEP', _(u'EXTENDED_STEP'),
workflow.get_extended_states()),
IdeaStateFilter('refused', _(u"Non-retained"),
workflow.get_refused_states()),
IdeaStateFilter('progressing_ideas', _(u"Ideas in progress"),
workflow.get_progressing_ideas_states()),
]
def get_idea_events(event_filter=None):
# get a mixture of Comments & comments sorted by submission_date
q1 = session.query(WFCommentData.submission_date.label('date'),
UserData.uid.label('user_uid'),
StateData.label.label('event'),
IdeaData.id.label('idea_id'))
q1 = q1.join(WFCommentData.to_state,
WFCommentData.created_by,
WFCommentData.idea_wf,
IdeaWFContextData.idea)
q2 = session.query(CommentData.submission_date.label('date'),
UserData.uid.label('user_uid'),
literal(u'COMMENT').label('event'),
IdeaData.id.label('idea_id'))
q2 = q2.join(CommentData.created_by, CommentData.idea,
IdeaData.wf_context, IdeaWFContextData.state)
# mask comments for ideas that are not in a published state
q2 = q2.filter(StateData.label.in_(get_workflow().get_published_states()))
q = q1.union(q2)
# mask ideas that are currently in the dsig_basket_state
q = q.filter(~IdeaData.id.in_(get_dsig_basket_state_ideas()))
if event_filter:
q = q.filter(column('event').in_(event_filter))
q = q.order_by(desc('date'))
return q
def populate_states():
workflow = get_workflow()
WFSteps = workflow.WFSteps
WFStates = workflow.WFStates
states = (
(WFStates.INITIAL_STATE, WFSteps.NO_STEP),
(WFStates.DRAFT_STATE, WFSteps.NO_STEP),
(WFStates.FI_NORMALIZE_STATE, WFSteps.SUBMITTED_STEP),
(WFStates.AUTHOR_NORMALIZE_STATE, WFSteps.SUBMITTED_STEP),
(WFStates.DI_APPRAISAL_STATE, WFSteps.STUDY_STEP),
(WFStates.RETURNED_BY_DI_STATE, WFSteps.STUDY_STEP),
(WFStates.DI_APPROVED_STATE, WFSteps.SUGGESTED_STEP),
(WFStates.SELECTED_STATE, WFSteps.SELECTED_STEP),
(WFStates.PROJECT_STATE, WFSteps.PROJECT_STEP),
(WFStates.PROTOTYPE_STATE, WFSteps.PROTOTYPE_STEP),
(WFStates.EXTENDED_STATE, WFSteps.EXTENDED_STEP),
(WFStates.FI_REFUSED_STATE, WFSteps.SUBMITTED_STEP),
(WFStates.PROTOTYPE_REFUSED_STATE, WFSteps.PROTOTYPE_STEP),
(WFStates.DI_REFUSED_STATE, WFSteps.STUDY_STEP),
(WFStates.PROJECT_REFUSED_STATE, WFSteps.PROJECT_STEP),
(WFStates.SELECT_REFUSED_STATE, WFSteps.SELECTED_STEP),
(WFStates.APPROVAL_REFUSED_STATE, WFSteps.SUGGESTED_STEP),
(WFStates.DSIG_BASKET_STATE, WFSteps.NO_STEP),
)
for label, step in states:
step = StepData.get_by(label=step)
StateData(label=label, step=step)
session.flush()
def populate_states():
workflow = get_workflow()
WFSteps = workflow.WFSteps
WFStates = workflow.WFStates
states = (
(WFStates.INITIAL_STATE, WFSteps.NO_STEP),
(WFStates.DRAFT_STATE, WFSteps.NO_STEP),
(WFStates.FI_NORMALIZE_STATE, WFSteps.SUBMITTED_STEP),
(WFStates.AUTHOR_NORMALIZE_STATE, WFSteps.SUBMITTED_STEP),
(WFStates.DI_APPRAISAL_STATE, WFSteps.STUDY_STEP),
(WFStates.RETURNED_BY_DI_STATE, WFSteps.STUDY_STEP),
(WFStates.DI_APPROVED_STATE, WFSteps.SUGGESTED_STEP),
(WFStates.SELECTED_STATE, WFSteps.SELECTED_STEP),
(WFStates.PROJECT_STATE, WFSteps.PROJECT_STEP),
(WFStates.PROTOTYPE_STATE, WFSteps.PROTOTYPE_STEP),
(WFStates.EXTENDED_STATE, WFSteps.EXTENDED_STEP),
(WFStates.FI_REFUSED_STATE, WFSteps.SUBMITTED_STEP),
(WFStates.PROTOTYPE_REFUSED_STATE, WFSteps.PROTOTYPE_STEP),
(WFStates.DI_REFUSED_STATE, WFSteps.STUDY_STEP),
(WFStates.PROJECT_REFUSED_STATE, WFSteps.PROJECT_STEP),
(WFStates.SELECT_REFUSED_STATE, WFSteps.SELECTED_STEP),
(WFStates.APPROVAL_REFUSED_STATE, WFSteps.SUGGESTED_STEP),
(WFStates.DSIG_BASKET_STATE, WFSteps.NO_STEP),
)
for label, step in states:
step = StepData.get_by(label=step)
StateData(label=label, step=step)
session.flush()
def test_actions(self):
def _available_events(user):
actions = (
switching_actions(user, self.idea)
+ recommendation_actions(user, self.idea)
)
return [item[1] for item in actions]
WFEvents = get_workflow().WFEvents
# submit the idea
self.process_event(self.author, WFEvents.SUBMIT_EVENT)
self.assertEqual(self.facilitator, self.idea.wf_context.assignated_fi)
# here is the scenario that we're going to run
scenario = (
(self.facilitator, WFEvents.ASK_INFORMATIONS_EVENT),
(self.author, WFEvents.SUBMIT_EVENT),
(self.facilitator, WFEvents.SEND_DI_EVENT),
(self.developer, WFEvents.REFUSE_EVENT),
(self.developer, WFEvents.REOPEN_EVENT),
(self.developer, WFEvents.APPROVAL_EVENT),
(self.admin, WFEvents.DISTURBING_IDEA_EVENT),
(self.admin, WFEvents.NOT_DISTURBING_IDEA_EVENT),
(self.admin, WFEvents.SELECT_EVENT),
(self.admin, WFEvents.SEND_PROJECT_EVENT),
(self.admin, WFEvents.SEND_PROTOTYPE_EVENT),
(self.admin, WFEvents.EXTEND_EVENT),
)
for user, event in scenario:
self.assertIn(event, _available_events(user))
self.process_event(user, event)
def find_state_changed_ideas(self, reverse=False):
if not self.is_validated():
return []
# query workflow comments that have occured since the reference date
wfcomments = WFCommentRepository().get_by_submission_after_date(
self.reference_date)
# (from_state, to_state) -> [(idea1, change_date1), (idea2, change_date2), ...]
mapping = {}
for wfcomment in wfcomments:
# Omit transitions from DI_APPRAISAL_STATE to DI_APPRAISAL_STATE (changed developer for the idea)
if wfcomment.from_state.label == wfcomment.to_state.label == get_workflow(
).WFStates.DI_APPRAISAL_STATE:
continue
k = (wfcomment.from_state, wfcomment.to_state)
v = (wfcomment.idea_wf.idea, wfcomment.submission_date)
mapping.setdefault(k, []).append(v)
# FIXME: filter relevant states?
return sorted(mapping.items(),
key=lambda (state_change, ideas):
(state_change[0].id, state_change[1].id),
reverse=reverse)
def fi_states_labels():
workflow = get_workflow()
return (
(workflow.WFStates.FI_NORMALIZE_STATE, _L(u'You have %d ideas to review')),
(workflow.WFStates.AUTHOR_NORMALIZE_STATE, _L(u'You have sent back %d ideas to innovators')),
(workflow.WFStates.DI_APPRAISAL_STATE, _L(u'You have sent %d ideas to developers')),
(workflow.WFStates.FI_REFUSED_STATE, _L(u'You have refused %d ideas')),
)
def get_all_published_ideas_unordered(states=[]):
"""
Returns an iterator on published ideas
"""
if states:
return get_all_ideas_unordered().filter(StateData.label.in_(states))
else:
return get_all_ideas_unordered().filter(
StateData.label.in_(get_workflow().get_published_states()))
def get_di_ideas_count(uid):
return (lambda uid=uid: session.query(
StateData.label.label('state'),
func.count(IdeaWFContextData.id).label('count')).outerjoin(StateData.
state_for).
filter(IdeaWFContextData.assignated_di == UserData.query.
filter(UserData.uid == uid).first()).filter(
StateData.label.in_(get_workflow().get_di_basket_states(
))).group_by(StateData.label))
def find_count_by_domain(self):
return (session.query(DomainData.id, DomainData.i18n_label_column(), func.count(IdeaData.id))
.join(DomainData.ideas)
.join(IdeaData.wf_context)
.join(IdeaWFContextData.state)
.filter(StateData.label.in_(get_workflow().get_published_states()))
.group_by(DomainData.id)
.having(func.count(IdeaData.id) > 0)
.order_by(DomainData.rank, DomainData.i18n_label_column()))
def get_ideas_count_by_success_states_chart(self, width, legend_width,
height):
ideas_count_by_state = self.get_ideas_count_by_state().filter(
StateData.label.in_(get_workflow().get_success_states()))
pie_data = []
for idx, item in enumerate(ideas_count_by_state):
pie_data.append(
(item.count, _(item.state), self.DEFAULT_COLORS[idx]))
return self._create_pie_chart(pie_data, width, height, legend_width)
def get_ideas_count_by_success_states_chart(self, width, legend_width,
height):
ideas_count_by_state = self.get_ideas_count_by_state().filter(
StateData.label.in_(get_workflow().get_success_states()))
pie_data = []
for idx, item in enumerate(ideas_count_by_state):
pie_data.append(
(item.count, _(item.state), self.DEFAULT_COLORS[idx]))
return self._create_pie_chart(pie_data, width, height, legend_width)
def find_count_by_domain(self):
return (session.query(DomainData.id, DomainData.label, func.count(IdeaData.id))
.join(DomainData.ideas)
.join(IdeaData.wf_context)
.join(IdeaWFContextData.state)
.filter(StateData.label.in_(get_workflow().get_published_states()))
.group_by(DomainData.id)
.having(func.count(IdeaData.id) > 0)
.order_by(DomainData.rank, DomainData.label))
def render_ideas_on_alert(self, h, comp, *args):
challenges = [None] + list(ChallengeRepository().get_all())
domains = list(DomainRepository().get_all())
workflow = get_workflow()
states = [s for s in workflow.get_progression_states()
if s != workflow.WFStates.RETURNED_BY_DI_STATE]
ideas_on_alert = self.get_ideas_on_alert()
all_ideas = self.get_ideas_by_states(states)
ideas_on_alert_grouped = self.group_by_challenge_and_domain(ideas_on_alert)
all_ideas_grouped = self.group_by_challenge_and_domain(all_ideas)
with h.table(class_='datatable'):
# data
with h.tbody:
for challenge in challenges:
available_domains = [
domain for domain in domains
if (challenge, domain) in ideas_on_alert_grouped
]
if available_domains:
with h.tr:
domain = available_domains[0]
h << h.td(challenge.title if challenge else _(u'Off challenge'), rowspan=len(available_domains))
h << h.td(domain.i18n_label)
render_ideas_on_alert_item(h, states, ideas_on_alert_grouped[(challenge, domain)], all_ideas_grouped[(challenge, domain)], comp.answer)
for domain in available_domains[1:]:
with h.tr:
h << h.td(domain.i18n_label)
render_ideas_on_alert_item(h, states, ideas_on_alert_grouped[(challenge, domain)], all_ideas_grouped[(challenge, domain)], comp.answer)
# column headings
with h.thead:
with h.tr:
h << h.th(colspan=2)
h << h.th(_(u'State'), colspan=len(states))
with h.tr:
h << h.th(_(u'Challenge'))
h << h.th(_(u'Domain'))
for state in states:
h << h.th(_(state))
# totals
with h.tfoot:
with h.tr:
h << h.td(_(u'Totals'), colspan=2)
for state in states:
total = len([idea for idea in ideas_on_alert
if idea.wf_context.state.label == state])
total_all = len([idea for idea in all_ideas
if idea.wf_context.state.label == state])
h << h.td('%s (%s)' % (total, total_all),
style='white-space:nowrap')
return h.root
def get_di_ideas_count(uid):
return (lambda uid=uid:
session.query(
StateData.label.label('state'),
func.count(IdeaWFContextData.id).label('count')
).outerjoin(StateData.state_for)
.filter(IdeaWFContextData.assignated_di == UserData.query.filter(
UserData.uid == uid).first())
.filter(StateData.label.in_(get_workflow().get_di_basket_states()))
.group_by(StateData.label))
def get_all_published_ideas_unordered(states=[]):
"""
Returns an iterator on published ideas
"""
if states:
return get_all_ideas_unordered().filter(
StateData.label.in_(states))
else:
return get_all_ideas_unordered().filter(
StateData.label.in_(get_workflow().get_published_states()))
def __init__(self, parent):
event_management._register_listener(parent, self)
items = StateData.get_ideas_count_by_states(get_workflow().get_chart_states())
self.items = [(r.state, r.count) for r in reversed(items.all())]
self.chart = component.Component(
BarChart(self.items, _('Your ideas have potential'), clickable=True)
)
self.chart.on_answer(self.call_ideas)
def get_ideas_count_in_fi_baskets():
fi_basket_states = get_workflow().get_fi_basket_states()
query = session.query(UserData,
StateData,
func.count(IdeaWFContextData.id).label('count')) \
.join(IdeaWFContextData.assignated_fi) \
.join(IdeaWFContextData.state) \
.filter(StateData.label.in_(fi_basket_states)) \
.group_by(UserData.uid, StateData.id)
return query
def get_ideas_count_in_fi_baskets():
fi_basket_states = get_workflow().get_fi_basket_states()
query = session.query(UserData,
StateData,
func.count(IdeaWFContextData.id).label('count')) \
.join(IdeaWFContextData.assignated_fi) \
.join(IdeaWFContextData.state) \
.filter(StateData.label.in_(fi_basket_states)) \
.group_by(UserData.uid, StateData.id)
return query
def launched_ideas_step_filters():
workflow = get_workflow()
return [
IdeaStateFilter('PROJECT_STEP', _(u'PROJECT_STEP'),
workflow.get_project_states()),
IdeaStateFilter('PROTOTYPE_STEP', _(u'PROTOTYPE_STEP'),
workflow.get_prototype_states()),
IdeaStateFilter('EXTENDED_STEP', _(u'EXTENDED_STEP'),
workflow.get_extended_states()),
]
def __init__(self, idea, event):
self.idea_id = idea if is_integer(idea) else idea.id
self.event = event
self.comment = editor.Property('')
# for some workflow events, we must choose a new developer
self.di = editor.Property('')
refuse_event = get_workflow().WFEvents.REFUSE_EVENT
if event in (refuse_event,):
self.comment.validate(validators.non_empty_string)
self.show_all = var.Var(False)
def fi_states_labels():
workflow = get_workflow()
return (
(workflow.WFStates.FI_NORMALIZE_STATE,
_L(u'You have %d ideas to review')),
(workflow.WFStates.AUTHOR_NORMALIZE_STATE,
_L(u'You have sent back %d ideas to innovators')),
(workflow.WFStates.DI_APPRAISAL_STATE,
_L(u'You have sent %d ideas to developers')),
(workflow.WFStates.FI_REFUSED_STATE, _L(u'You have refused %d ideas')),
)
def __init__(self, idea, event):
self.idea_id = idea if is_integer(idea) else idea.id
self.event = event
self.comment = editor.Property('')
# for some workflow events, we must choose a new developer
self.di = editor.Property('')
refuse_event = get_workflow().WFEvents.REFUSE_EVENT
if event in (refuse_event, ):
self.comment.validate(validators.non_empty_string)
self.show_all = var.Var(False)
def get_fi_process_ideas(uid):
"""
Returns an iterator on idea for facilitator current process
"""
return (lambda uid=uid: IdeaData.query.join(IdeaData.wf_context).outerjoin(
IdeaWFContextData.state).filter(
and_(
StateData.label == get_workflow().WFStates.FI_NORMALIZE_STATE,
IdeaWFContextData.assignated_fi == UserData.query.filter(
UserData.uid == uid).first())).order_by(
desc(IdeaData.submission_date)))
def get_ideas_count_by_fi(self):
results = []
for user, iter in itertools.groupby(
queries.get_ideas_count_in_fi_baskets(),
operator.itemgetter(0)):
ideas_counts = dict(
(state.label, count) for _, state, count in iter)
results.append(
(user.uid, user.fullname, sum(ideas_counts.values()),
ideas_counts.get(get_workflow().WFStates.FI_NORMALIZE_STATE,
0)))
return results
def get_latecomer_fi(self, n_days=7):
n_days_ago = datetime.now() - timedelta(days=n_days)
query = session.query(IdeaWFContextData,
func.max(WFCommentData.submission_date)) \
.join(WFCommentData.idea_wf) \
.join(IdeaWFContextData.state) \
.filter(StateData.label == get_workflow().WFStates.FI_NORMALIZE_STATE) \
.group_by(IdeaWFContextData.id)
# there's at least one idea in FI_NORMALIZE_STATE that is older than n_days_ago
return set(wfcontext.assignated_fi_uid for wfcontext, date in query
if date < n_days_ago)
def query(limit=limit):
q = session.query(TagData.label,
func.count(IdeaData.id).label('ideas_count'))
q = q.outerjoin(TagData.ideas)
q = q.outerjoin(IdeaData.wf_context)
q = q.outerjoin(IdeaWFContextData.state)
q = q.filter(StateData.label.in_(
get_workflow().get_published_states()))
q = q.order_by(desc('ideas_count'))
q = q.group_by(TagData.label)
q = q.limit(limit)
return q
def get_ideas_count_by_fi(self):
results = []
for user, iter in itertools.groupby(
queries.get_ideas_count_in_fi_baskets(),
operator.itemgetter(0)):
ideas_counts = dict(
(state.label, count) for _, state, count in iter)
results.append((user.uid,
user.fullname,
sum(ideas_counts.values()),
ideas_counts.get(get_workflow().WFStates.FI_NORMALIZE_STATE, 0)))
return results
def get_latecomer_fi(self, n_days=7):
n_days_ago = datetime.now() - timedelta(days=n_days)
query = session.query(IdeaWFContextData,
func.max(WFCommentData.submission_date)) \
.join(WFCommentData.idea_wf) \
.join(IdeaWFContextData.state) \
.filter(StateData.label == get_workflow().WFStates.FI_NORMALIZE_STATE) \
.group_by(IdeaWFContextData.id)
# there's at least one idea in FI_NORMALIZE_STATE that is older than n_days_ago
return set(wfcontext.assignated_fi_uid for wfcontext, date in query if
date < n_days_ago)
def di_states_labels():
workflow = get_workflow()
return (
(workflow.WFStates.DI_APPRAISAL_STATE, _L(u'You have %d ideas to review')),
(workflow.WFStates.DSIG_BASKET_STATE, _L(u'You have sent %d ideas to DSIG')),
(workflow.WFStates.DI_REFUSED_STATE, _L(u'You have refused %d ideas')),
(workflow.WFStates.DI_APPROVED_STATE, _L(u'You have approved %d ideas')),
(workflow.WFStates.SELECTED_STATE, _L(u'You have %d selected ideas')),
(workflow.WFStates.PROJECT_STATE, _L(u'You have %d projected ideas')),
(workflow.WFStates.PROTOTYPE_STATE, _L(u'You have %d prototyped ideas')),
(workflow.WFStates.EXTENDED_STATE, _L(u'You have %d extended ideas')),
)
def populate_steps():
wfsteps = get_workflow().WFSteps
steps = ((wfsteps.NO_STEP, 100), (wfsteps.SUBMITTED_STEP, 1),
(wfsteps.STUDY_STEP, 2), (wfsteps.SUGGESTED_STEP, 3),
(wfsteps.SELECTED_STEP, 4), (wfsteps.PROJECT_STEP, 5),
(wfsteps.PROTOTYPE_STEP, 6), (wfsteps.EXTENDED_STEP, 7))
for label, rank in steps:
StepData(label=label, rank=rank)
session.flush()
def has_permission_submit_comment(self, user, perm, subject):
if not user:
return True
idea = subject.i
state = idea.wf_context.state.label
workflow = get_workflow()
if state in workflow.get_refused_states():
return False
return True
def get_fi_process_ideas(uid):
"""
Returns an iterator on idea for facilitator current process
"""
return (lambda uid=uid:
IdeaData.query.join(IdeaData.wf_context)
.outerjoin(IdeaWFContextData.state)
.filter(and_(
StateData.label == get_workflow().WFStates.FI_NORMALIZE_STATE,
IdeaWFContextData.assignated_fi == UserData.query.filter(
UserData.uid == uid).first()))
.order_by(desc(IdeaData.submission_date)))
def has_permission_view_evaluation_menu(self, user, perm, subject):
if not user:
return False
user = user.entity
idea = subject.idea
state = subject.state
if user.is_developer(idea) and state in get_workflow().get_study_states():
return True
return user.is_dsig()
def __init__(self, parent):
event_management._register_listener(parent, self)
items = StateData.get_ideas_count_by_states(
get_workflow().get_chart_states())
self.items = [(r.state, r.count) for r in reversed(items.all())]
self.chart = component.Component(
BarChart(self.items,
_('Your ideas have potential'),
clickable=True))
self.chart.on_answer(self.call_ideas)
def get_ideas_count_by_refused_states_chart(self, width, legend_width,
height):
ideas_count_by_state = self.get_ideas_count_by_state().filter(
StateData.label.in_(get_workflow().get_refused_states()))
pie_data = []
for idx, item in enumerate(ideas_count_by_state):
pie_data.append(
(item.count, _(item.state), self.DEFAULT_COLORS[idx]))
try:
return self._create_pie_chart(pie_data, width, height, legend_width)
except ZeroDivisionError as e:
import ipdb; ipdb.set_trace()
raise
def get_ideas_count_by_di():
WFStates = get_workflow().WFStates
sub_query = (IdeaWFContextData.query.outerjoin(
IdeaWFContextData.state).filter(
StateData.label == WFStates.DI_APPRAISAL_STATE).subquery())
return session.query(
UserData,
func.count(sub_query.c.id)
).filter(UserData.enabled == True) \
.outerjoin((sub_query, sub_query.c.assignated_di_uid == UserData.uid)) \
.join(RoleData) \
.filter(RoleData.type == RoleType.Developer).group_by(UserData.uid)
def query(limit=limit):
q = session.query(
TagData.label,
func.count(IdeaData.id).label('ideas_count'))
q = q.outerjoin(TagData.ideas)
q = q.outerjoin(IdeaData.wf_context)
q = q.outerjoin(IdeaWFContextData.state)
q = q.filter(
StateData.label.in_(get_workflow().get_published_states()))
q = q.order_by(desc('ideas_count'))
q = q.group_by(TagData.label)
q = q.limit(limit)
return q
def get_ideas_count_by_di():
WFStates = get_workflow().WFStates
sub_query = (IdeaWFContextData.query.outerjoin(IdeaWFContextData.state)
.filter(StateData.label == WFStates.DI_APPRAISAL_STATE)
.subquery())
return session.query(
UserData,
func.count(sub_query.c.id)
).filter(UserData.enabled == True) \
.outerjoin((sub_query, sub_query.c.assignated_di_uid == UserData.uid)) \
.join(RoleData) \
.filter(RoleData.type == RoleType.Developer).group_by(UserData.uid)
def has_permission_delete_idea(self, user, perm, subject):
if not user:
return False
user = user.entity
idea = subject.i
state = idea.wf_context.state.label
workflow = get_workflow()
if state in workflow.get_draft_states():
return True
return user.is_dsig()
def get_ideas_count_by_refused_states_chart(self, width, legend_width,
height):
ideas_count_by_state = self.get_ideas_count_by_state().filter(
StateData.label.in_(get_workflow().get_refused_states()))
pie_data = []
for idx, item in enumerate(ideas_count_by_state):
pie_data.append(
(item.count, _(item.state), self.DEFAULT_COLORS[idx]))
try:
return self._create_pie_chart(pie_data, width, height,
legend_width)
except ZeroDivisionError as e:
import ipdb
ipdb.set_trace()
raise
def state_filters():
"""
Returns a list of IdeaStateFilter for each step
"""
workflow = get_workflow()
return [
IdeaStateFilter('SUBMITTED_STEP', _(u'SUBMITTED_STEP'), workflow.get_submitted_states()),
IdeaStateFilter('STUDY_STEP', _(u'STUDY_STEP'), workflow.get_study_states()),
IdeaStateFilter('SUGGESTED_STEP', _(u'SUGGESTED_STEP'), workflow.get_approved_states()),
IdeaStateFilter('SELECTED_STEP', _(u'SELECTED_STEP'), workflow.get_selected_states()),
IdeaStateFilter('PROJECT_STEP', _(u'PROJECT_STEP'), workflow.get_project_states()),
IdeaStateFilter('PROTOTYPE_STEP', _(u'PROTOTYPE_STEP'), workflow.get_prototype_states()),
IdeaStateFilter('EXTENDED_STEP', _(u'EXTENDED_STEP'), workflow.get_extended_states()),
IdeaStateFilter('refused', _(u"Non-retained"), workflow.get_refused_states()),
IdeaStateFilter('progressing_ideas', _(u"Ideas in progress"), workflow.get_progressing_ideas_states()),
]
def di_states_labels():
workflow = get_workflow()
return (
(workflow.WFStates.DI_APPRAISAL_STATE,
_L(u'You have %d ideas to review')),
(workflow.WFStates.DSIG_BASKET_STATE,
_L(u'You have sent %d ideas to DSIG')),
(workflow.WFStates.DI_REFUSED_STATE, _L(u'You have refused %d ideas')),
(workflow.WFStates.DI_APPROVED_STATE,
_L(u'You have approved %d ideas')),
(workflow.WFStates.SELECTED_STATE, _L(u'You have %d selected ideas')),
(workflow.WFStates.PROJECT_STATE, _L(u'You have %d projected ideas')),
(workflow.WFStates.PROTOTYPE_STATE,
_L(u'You have %d prototyped ideas')),
(workflow.WFStates.EXTENDED_STATE, _L(u'You have %d extended ideas')),
)
def get_idea_published_tag(idea_id):
tag_ids = [elt[0] for elt in
session.query(TagData.id).outerjoin(TagData.ideas).filter(
IdeaData.id == idea_id)]
result = (session.query(
TagData.label,
func.sum(StateData.label.in_(get_workflow().get_published_states())).label(
'ideas_count')
).outerjoin(TagData.ideas))
result = (result.outerjoin(IdeaData.wf_context)
.outerjoin(IdeaWFContextData.state)
.filter(TagData.id.in_(tag_ids))
.group_by(TagData.label))
return result
def get_idea_published_tag(idea_id):
tag_ids = [
elt[0]
for elt in session.query(TagData.id).outerjoin(TagData.ideas).filter(
IdeaData.id == idea_id)
]
result = (session.query(
TagData.label,
func.sum(StateData.label.in_(
get_workflow().get_published_states())).label(
'ideas_count')).outerjoin(TagData.ideas))
result = (result.outerjoin(
IdeaData.wf_context).outerjoin(IdeaWFContextData.state).filter(
TagData.id.in_(tag_ids)).group_by(TagData.label))
return result
def populate_steps():
wfsteps = get_workflow().WFSteps
steps = (
(wfsteps.NO_STEP, 100),
(wfsteps.SUBMITTED_STEP, 1),
(wfsteps.STUDY_STEP, 2),
(wfsteps.SUGGESTED_STEP, 3),
(wfsteps.SELECTED_STEP, 4),
(wfsteps.PROJECT_STEP, 5),
(wfsteps.PROTOTYPE_STEP, 6),
(wfsteps.EXTENDED_STEP, 7)
)
for label, rank in steps:
StepData(label=label, rank=rank)
session.flush()
def get_ideas_count_by_domain_state(self):
workflow = get_workflow()
q = session.query(DomainData.id, DomainData.i18n_label_column(),
func.count(IdeaData.id), StateData.label)
q = q.outerjoin(DomainData.ideas).outerjoin(IdeaData.wf_context)
q = q.outerjoin(IdeaWFContextData.state)
q = q.filter(
StateData.label.in_(workflow.get_approved_states() +
workflow.get_refused_states()))
q = q.group_by(DomainData.id, StateData.label)
res = collections.defaultdict(lambda: [0, 0])
for domain_id, domain_label, count, state in q:
if state == workflow.WFStates.DI_APPROVED_STATE:
res[domain_label][0] = int(count)
else:
res[domain_label][1] = int(count)
return res
def has_permission_track_idea(self, user, perm, subject):
if not user:
return True
user = user.entity
idea = subject.i
state = idea.wf_context.state.label
workflow = get_workflow()
if user in idea.authors:
return False
if state in workflow.get_refused_states():
return False
if state in workflow.get_published_states():
return True
return False
def has_permission_edit_idea(self, user, perm, subject):
if not user:
return False
user = user.entity
idea = subject.i
state = idea.wf_context.state.label
workflow = get_workflow()
if user in idea.authors and state in workflow.get_author_edit_states():
return True
if user.is_facilitator(idea) and state in workflow.get_submitted_states():
return True
if idea.proxy_submitter and user.uid == idea.proxy_submitter.uid:
return True
return user.is_dsig()
def get_ideas_count_day_by_day(self, from_date):
# count ideas day by day (not draft) since the from_date
date = IdeaData.submission_date.label('date')
db_type = urlparse(database._engines.keys()[0]).scheme
if db_type == 'sqlite':
formatted_date = func.strftime(
'%d/%m/%Y', IdeaData.submission_date).label('formatted_date')
else:
formatted_date = func.date_format(
IdeaData.submission_date, '%d/%m/%y').label('formatted_date')
q = (session.query(
formatted_date, date,
func.count(IdeaData.id).label('count')).outerjoin(
IdeaData.wf_context).outerjoin(IdeaWFContextData.state).filter(
StateData.label.in_(
get_workflow().get_workflow_states())).filter(
IdeaData.submission_date >= from_date).group_by(
formatted_date).order_by(formatted_date))
return q
def get_ideas_count_day_by_day(self, from_date):
# count ideas day by day (not draft) since the from_date
date = IdeaData.submission_date.label('date')
db_type = urlparse(database._engines.keys()[0]).scheme
if db_type == 'sqlite':
formatted_date = func.strftime(
'%d/%m/%Y', IdeaData.submission_date).label('formatted_date')
else:
formatted_date = func.date_format(
IdeaData.submission_date, '%d/%m/%y').label('formatted_date')
q = (session.query(formatted_date, date,
func.count(IdeaData.id).label('count'))
.outerjoin(IdeaData.wf_context)
.outerjoin(IdeaWFContextData.state)
.filter(StateData.label.in_(get_workflow().get_workflow_states()))
.filter(IdeaData.submission_date >= from_date)
.group_by(formatted_date)
.order_by(formatted_date))
return q