# ContentDB # Copyright (C) 2020 rubenwardy # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # 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 Affero General Public License for more details. # # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see . import datetime from flask import Blueprint, make_response from sqlalchemy import or_, and_ from sqlalchemy.sql.expression import func from app.models import Package, db, User, UserRank, PackageState, PackageReview, ThreadReply, Collection, AuditLogEntry, \ PackageTranslation, Language from app.rediscache import get_key bp = Blueprint("metrics", __name__) def generate_metrics(): def write_single_stat(name, help, type, value): fmt = "# HELP {name} {help}\n# TYPE {name} {type}\n{name} {value}\n\n" return fmt.format(name=name, help=help, type=type, value=value) def gen_labels(labels): pieces = [f"{key}=\"{val}\"" for key, val in labels.items()] return ",".join(pieces) def write_array_stat(name, help, type, data): result = "# HELP {name} {help}\n# TYPE {name} {type}\n" \ .format(name=name, help=help, type=type) for entry in data: assert(len(entry) == 2) result += "{name}{{{labels}}} {value}\n" \ .format(name=name, labels=gen_labels(entry[0]), value=entry[1]) return result + "\n" downloads_result = db.session.query(func.sum(Package.downloads)).one_or_none() downloads = 0 if not downloads_result or not downloads_result[0] else downloads_result[0] packages = Package.query.filter_by(state=PackageState.APPROVED).count() users = User.query.filter(User.rank > UserRank.NOT_JOINED, User.rank != UserRank.BOT, User.is_active).count() authors = User.query.filter(User.packages.any(state=PackageState.APPROVED)).count() one_day_ago = datetime.datetime.now() - datetime.timedelta(days=1) one_week_ago = datetime.datetime.now() - datetime.timedelta(weeks=1) one_month_ago = datetime.datetime.now() - datetime.timedelta(weeks=4) active_users_day = User.query.filter(and_(User.rank != UserRank.BOT, or_( User.audit_log_entries.any(AuditLogEntry.created_at > one_day_ago), User.replies.any(ThreadReply.created_at > one_day_ago)))).count() active_users_week = User.query.filter(and_(User.rank != UserRank.BOT, or_( User.audit_log_entries.any(AuditLogEntry.created_at > one_week_ago), User.replies.any(ThreadReply.created_at > one_week_ago)))).count() active_users_month = User.query.filter(and_(User.rank != UserRank.BOT, or_( User.audit_log_entries.any(AuditLogEntry.created_at > one_month_ago), User.replies.any(ThreadReply.created_at > one_month_ago)))).count() reviews = PackageReview.query.count() comments = ThreadReply.query.count() collections = Collection.query.count() score_result = db.session.query(func.sum(Package.score)).one_or_none() score = 0 if not score_result or not score_result[0] else score_result[0] packages_with_translations = (db.session.query(PackageTranslation.package_id) .filter(PackageTranslation.language_id != "en") .group_by(PackageTranslation.package_id).count()) packages_with_translations_meta = (db.session.query(PackageTranslation.package_id) .filter(PackageTranslation.short_desc.is_not(None), PackageTranslation.language_id != "en") .group_by(PackageTranslation.package_id).count()) languages_packages = (db.session.query(PackageTranslation.language_id, func.count(Package.id)) .select_from(PackageTranslation).outerjoin(Package) .order_by(db.asc(PackageTranslation.language_id)) .group_by(PackageTranslation.language_id).all()) languages_packages_meta = (db.session.query(PackageTranslation.language_id, func.count(Package.id)) .select_from(PackageTranslation).outerjoin(Package) .filter(PackageTranslation.short_desc.is_not(None)) .order_by(db.asc(PackageTranslation.language_id)) .group_by(PackageTranslation.language_id).all()) ret = "" ret += write_single_stat("contentdb_packages", "Total packages", "gauge", packages) ret += write_single_stat("contentdb_users", "Number of registered users", "gauge", users) ret += write_single_stat("contentdb_authors", "Number of users with packages", "gauge", authors) ret += write_single_stat("contentdb_users_active_1d", "Number of daily active registered users", "gauge", active_users_day) ret += write_single_stat("contentdb_users_active_1w", "Number of weekly active registered users", "gauge", active_users_week) ret += write_single_stat("contentdb_users_active_1m", "Number of monthly active registered users", "gauge", active_users_month) ret += write_single_stat("contentdb_downloads", "Total downloads", "gauge", downloads) ret += write_single_stat("contentdb_emails", "Number of emails sent", "counter", int(get_key("emails_sent", "0"))) ret += write_single_stat("contentdb_reviews", "Number of reviews", "gauge", reviews) ret += write_single_stat("contentdb_comments", "Number of comments", "gauge", comments) ret += write_single_stat("contentdb_collections", "Number of collections", "gauge", collections) ret += write_single_stat("contentdb_score", "Total package score", "gauge", score) ret += write_single_stat("contentdb_packages_with_translations", "Number of packages with translations", "gauge", packages_with_translations) ret += write_single_stat("contentdb_packages_with_translations_meta", "Number of packages with translated meta", "gauge", packages_with_translations_meta) ret += write_array_stat("contentdb_languages_translated", "Number of packages per language", "gauge", [({"language": x[0]}, x[1]) for x in languages_packages]) ret += write_array_stat("contentdb_languages_translated_meta", "Number of packages with translated short desc per language", "gauge", [({"language": x[0]}, x[1]) for x in languages_packages_meta]) return ret @bp.route("/metrics") def metrics(): response = make_response(generate_metrics(), 200) response.mimetype = "text/plain" return response