# Copyright (c) 2024 Cisco and/or its affiliates. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at: # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Initialize Flask app. """ import logging import pandas as pd from flask import Flask from flask_assets import Environment, Bundle from .utils.constants import Constants as C from .data.data import Data def init_app(): """Construct core Flask application with embedded Dash app. """ logging.basicConfig( format=C.LOG_FORMAT, datefmt=C.LOG_DATE_FORMAT, level=C.LOG_LEVEL ) app = Flask(__name__, instance_relative_config=False) app.logger.info("Application started.") app.config.from_object("config.Config") with app.app_context(): # Import parts of our core Flask app. from . import routes assets = Environment() assets.init_app(app) # Compile static assets. sass_bundle = Bundle( "sass/lux.scss", filters="libsass", output="dist/css/bootstrap.css", depends="**/*.scss", extra={ "rel": "stylesheet" } ) assets.register("sass_all", sass_bundle) sass_bundle.build() if C.TIME_PERIOD is None or C.TIME_PERIOD > C.MAX_TIME_PERIOD: time_period = C.MAX_TIME_PERIOD else: time_period = C.TIME_PERIOD data = Data( data_spec_file=C.DATA_SPEC_FILE, ).read_all_data(days=time_period) # Import Dash applications. err_msg = "Application not loaded, no data available." logging.info("\n\nStarting the applications:\n" + "-" * 26 + "\n") if C.START_FAILURES: logging.info(C.NEWS_TITLE) if data["statistics"].empty or data["trending"].empty: logging.error(err_msg) else: from .news.news import init_news app = init_news(app, data["statistics"], data["trending"]) if C.START_STATISTICS: logging.info(C.STATS_TITLE) if data["statistics"].empty or data["trending"].empty: logging.error(err_msg) else: from .stats.stats import init_stats app = init_stats(app, data["statistics"], data["trending"]) if C.START_TRENDING: logging.info(C.TREND_TITLE) if data["trending"].empty: logging.error(err_msg) else: from .trending.trending import init_trending app = init_trending(app, data["trending"]) if C.START_REPORT: logging.info(C.REPORT_TITLE) if data["iterative"].empty: logging.error(err_msg) else: from .report.report import init_report app = init_report(app, data["iterative"]) if C.START_COMPARISONS: logging.info(C.COMP_TITLE) if data["iterative"].empty: logging.error(err_msg) else: from .comparisons.comparisons import init_comparisons app = init_comparisons(app, data["iterative"]) if C.START_COVERAGE: logging.info(C.COVERAGE_TITLE) if data["coverage"].empty: logging.error(err_msg) else: from .coverage.coverage import init_coverage app = init_coverage(app, data["coverage"]) if C.START_SEARCH: logging.info(C.SEARCH_TITLE) if all((data["trending"].empty, data["iterative"].empty, data["coverage"].empty)): logging.error(err_msg) else: from .search.search import init_search app = init_search(app, data) return app app = init_app()