mirror of
https://github.com/minetest/contentdb.git
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127 lines
6.2 KiB
Python
127 lines
6.2 KiB
Python
# ContentDB
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# Copyright (C) 2020 rubenwardy
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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import datetime
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from flask import Blueprint, make_response
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from sqlalchemy import or_, and_
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from sqlalchemy.sql.expression import func
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from app.models import Package, db, User, UserRank, PackageState, PackageReview, ThreadReply, Collection, AuditLogEntry, \
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PackageTranslation, Language
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from app.rediscache import get_key
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bp = Blueprint("metrics", __name__)
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def generate_metrics():
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def write_single_stat(name, help, type, value):
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fmt = "# HELP {name} {help}\n# TYPE {name} {type}\n{name} {value}\n\n"
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return fmt.format(name=name, help=help, type=type, value=value)
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def gen_labels(labels):
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pieces = [key + "=" + str(val) for key, val in labels.items()]
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return ",".join(pieces)
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def write_array_stat(name, help, type, data):
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result = "# HELP {name} {help}\n# TYPE {name} {type}\n" \
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.format(name=name, help=help, type=type)
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for entry in data:
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assert(len(entry) == 2)
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result += "{name}{{{labels}}} {value}\n" \
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.format(name=name, labels=gen_labels(entry[0]), value=entry[1])
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return result + "\n"
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downloads_result = db.session.query(func.sum(Package.downloads)).one_or_none()
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downloads = 0 if not downloads_result or not downloads_result[0] else downloads_result[0]
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packages = Package.query.filter_by(state=PackageState.APPROVED).count()
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users = User.query.filter(User.rank > UserRank.NOT_JOINED, User.rank != UserRank.BOT, User.is_active).count()
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authors = User.query.filter(User.packages.any(state=PackageState.APPROVED)).count()
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one_day_ago = datetime.datetime.now() - datetime.timedelta(days=1)
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one_week_ago = datetime.datetime.now() - datetime.timedelta(weeks=1)
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one_month_ago = datetime.datetime.now() - datetime.timedelta(weeks=4)
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active_users_day = User.query.filter(and_(User.rank != UserRank.BOT, or_(
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User.audit_log_entries.any(AuditLogEntry.created_at > one_day_ago),
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User.replies.any(ThreadReply.created_at > one_day_ago)))).count()
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active_users_week = User.query.filter(and_(User.rank != UserRank.BOT, or_(
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User.audit_log_entries.any(AuditLogEntry.created_at > one_week_ago),
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User.replies.any(ThreadReply.created_at > one_week_ago)))).count()
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active_users_month = User.query.filter(and_(User.rank != UserRank.BOT, or_(
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User.audit_log_entries.any(AuditLogEntry.created_at > one_month_ago),
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User.replies.any(ThreadReply.created_at > one_month_ago)))).count()
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reviews = PackageReview.query.count()
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comments = ThreadReply.query.count()
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collections = Collection.query.count()
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score_result = db.session.query(func.sum(Package.score)).one_or_none()
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score = 0 if not score_result or not score_result[0] else score_result[0]
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packages_with_translations = (db.session.query(PackageTranslation.package_id)
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.filter(PackageTranslation.language_id != "en")
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.group_by(PackageTranslation.package_id).count())
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packages_with_translations_meta = (db.session.query(PackageTranslation.package_id)
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.filter(PackageTranslation.short_desc.is_not(None), PackageTranslation.language_id != "en")
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.group_by(PackageTranslation.package_id).count())
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languages_packages = (db.session.query(PackageTranslation.language_id, func.count(Package.id))
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.select_from(PackageTranslation).outerjoin(Package)
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.order_by(db.asc(PackageTranslation.language_id))
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.group_by(PackageTranslation.language_id).all())
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languages_packages_meta = (db.session.query(PackageTranslation.language_id, func.count(Package.id))
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.select_from(PackageTranslation).outerjoin(Package)
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.filter(PackageTranslation.short_desc.is_not(None))
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.order_by(db.asc(PackageTranslation.language_id))
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.group_by(PackageTranslation.language_id).all())
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ret = ""
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ret += write_single_stat("contentdb_packages", "Total packages", "gauge", packages)
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ret += write_single_stat("contentdb_users", "Number of registered users", "gauge", users)
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ret += write_single_stat("contentdb_authors", "Number of users with packages", "gauge", authors)
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ret += write_single_stat("contentdb_users_active_1d", "Number of daily active users", "gauge", active_users_day)
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ret += write_single_stat("contentdb_users_active_1w", "Number of weekly active users", "gauge", active_users_week)
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ret += write_single_stat("contentdb_users_active_1m", "Number of monthly active users", "gauge", active_users_month)
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ret += write_single_stat("contentdb_downloads", "Total downloads", "gauge", downloads)
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ret += write_single_stat("contentdb_emails", "Number of emails sent", "counter", int(get_key("emails_sent", "0")))
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ret += write_single_stat("contentdb_reviews", "Number of reviews", "gauge", reviews)
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ret += write_single_stat("contentdb_comments", "Number of comments", "gauge", comments)
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ret += write_single_stat("contentdb_collections", "Number of collections", "gauge", collections)
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ret += write_single_stat("contentdb_score", "Total package score", "gauge", score)
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ret += write_single_stat("contentdb_packages_with_translations", "Number of packages with translations", "gauge",
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packages_with_translations)
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ret += write_single_stat("contentdb_packages_with_translations_meta", "Number of packages with translated meta",
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"gauge", packages_with_translations_meta)
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ret += write_array_stat("contentdb_languages_translated",
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"Number of packages per language", "gauge",
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[({"language": x[0]}, x[1]) for x in languages_packages])
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ret += write_array_stat("contentdb_languages_translated_meta",
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"Number of packages with translated short desc per language", "gauge",
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[({"language": x[0]}, x[1]) for x in languages_packages_meta])
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return ret
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@bp.route("/metrics")
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def metrics():
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response = make_response(generate_metrics(), 200)
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response.mimetype = "text/plain"
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return response
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