blob: 2bf2c90f7e66e3e787ee4b574e81e3eb9f291491 [file] [log] [blame]
# Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file or at
# https://developers.google.com/open-source/licenses/bsd
"""Set of helpers for constructing spam-related pages.
"""
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from framework import template_helpers
import ezt
from datetime import datetime
def DecorateIssueClassifierQueue(
cnxn, issue_service, spam_service, user_service, moderation_items):
issue_ids = [item.issue_id for item in moderation_items]
issues = issue_service.GetIssues(cnxn, issue_ids)
issue_map = {}
for issue in issues:
issue_map[issue.issue_id] = issue
flag_counts = spam_service.LookupIssueFlagCounts(cnxn, issue_ids)
reporter_ids = [issue.reporter_id for issue in issues]
reporters = user_service.GetUsersByIDs(cnxn, reporter_ids)
comments = issue_service.GetCommentsForIssues(cnxn, issue_ids)
items = []
for item in moderation_items:
issue=issue_map[item.issue_id]
first_comment = comments.get(item.issue_id, ["[Empty]"])[0]
items.append(template_helpers.EZTItem(
issue=issue,
summary=template_helpers.FitUnsafeText(issue.summary, 80),
comment_text=template_helpers.FitUnsafeText(first_comment.content, 80),
reporter=reporters[issue.reporter_id],
flag_count=flag_counts.get(issue.issue_id, 0),
is_spam=ezt.boolean(item.is_spam),
verdict_time=item.verdict_time,
classifier_confidence=item.classifier_confidence,
reason=item.reason,
))
return items