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#!/usr/bin/env python3 |
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from __future__ import annotations |
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import logging |
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import os |
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import os.path |
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from typing import TYPE_CHECKING |
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logging.basicConfig() |
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logger = logging.getLogger("annif") |
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logger.setLevel(level=logging.INFO) |
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import annif.backend # noqa |
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if TYPE_CHECKING: |
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from flask.app import Flask |
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def create_flask_app(config_name: str | None = None) -> Flask: |
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"""Create a Flask app to be used by the CLI.""" |
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from flask import Flask |
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_set_tensorflow_loglevel() |
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app = Flask(__name__) |
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config_name = _get_config_name(config_name) |
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logger.debug(f"creating flask app with configuration {config_name}") |
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app.config.from_object(config_name) |
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app.config.from_envvar("ANNIF_SETTINGS", silent=True) |
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return app |
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def create_app(config_name: str | None = None) -> Flask: |
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"""Create a Connexion app to be used for the API.""" |
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# 'cxapp' here is the Connexion application that has a normal Flask app |
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# as a property (cxapp.app) |
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import connexion |
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from flask_cors import CORS |
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import annif.registry |
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# from annif.openapi.validation import CustomRequestBodyValidator # TODO Re-enable |
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specdir = os.path.join(os.path.dirname(__file__), "openapi") |
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cxapp = connexion.FlaskApp(__name__, specification_dir=specdir) |
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config_name = _get_config_name(config_name) |
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logger.debug(f"creating connexion app with configuration {config_name}") |
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cxapp.app.config.from_object(config_name) |
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cxapp.app.config.from_envvar("ANNIF_SETTINGS", silent=True) |
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# validator_map = { |
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# "body": CustomRequestBodyValidator, |
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# } |
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cxapp.add_api("annif.yaml") # validator_map=validator_map) |
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# add CORS support |
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CORS(cxapp.app) |
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if cxapp.app.config["INITIALIZE_PROJECTS"]: |
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annif.registry.initialize_projects(cxapp.app) |
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logger.info("finished initializing projects") |
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# register the views via blueprints |
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from annif.views import bp |
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cxapp.app.register_blueprint(bp) |
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# return the Connexion app |
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return cxapp |
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def _get_config_name(config_name: str | None) -> str: |
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if config_name is None: |
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config_name = os.environ.get("ANNIF_CONFIG") |
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if config_name is None: |
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if os.environ.get("FLASK_RUN_FROM_CLI") == "true": # pragma: no cover |
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config_name = "annif.default_config.Config" |
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else: |
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config_name = "annif.default_config.ProductionConfig" # pragma: no cover |
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return config_name |
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def _set_tensorflow_loglevel(): |
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"""Set TensorFlow log level based on Annif log level (--verbosity/-v |
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option) using an environment variable. INFO messages by TF are shown only on |
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DEBUG (or NOTSET) level of Annif.""" |
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annif_loglevel = logger.getEffectiveLevel() |
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tf_loglevel_mapping = { |
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0: "0", # NOTSET |
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10: "0", # DEBUG |
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20: "1", # INFO |
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30: "1", # WARNING |
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40: "2", # ERROR |
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50: "3", # CRITICAL |
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} |
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tf_loglevel = tf_loglevel_mapping[annif_loglevel] |
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os.environ.setdefault("TF_CPP_MIN_LOG_LEVEL", tf_loglevel) |
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NatLibFi /
Annif
