|
1
|
|
|
#!/usr/bin/env python3 |
|
2
|
|
|
|
|
3
|
|
|
from __future__ import annotations |
|
4
|
|
|
|
|
5
|
|
|
import logging |
|
6
|
|
|
import os |
|
7
|
|
|
import os.path |
|
8
|
|
|
from typing import TYPE_CHECKING |
|
9
|
|
|
|
|
10
|
|
|
from flask import Flask |
|
11
|
|
|
|
|
12
|
|
|
logging.basicConfig() |
|
13
|
|
|
logger = logging.getLogger("annif") |
|
14
|
|
|
logger.setLevel(level=logging.INFO) |
|
15
|
|
|
|
|
16
|
|
|
import annif.backend # noqa |
|
17
|
|
|
|
|
18
|
|
|
if TYPE_CHECKING: |
|
19
|
|
|
from connexion.apps.flask import FlaskApp |
|
20
|
|
|
|
|
21
|
|
|
|
|
22
|
|
|
def create_flask_app(config_name: str | None = None) -> Flask: |
|
23
|
|
|
"""Create a Flask app to be used by the CLI.""" |
|
24
|
|
|
|
|
25
|
|
|
_set_tensorflow_loglevel() |
|
26
|
|
|
|
|
27
|
|
|
app = Flask(__name__) |
|
28
|
|
|
config_name = _get_config_name(config_name) |
|
29
|
|
|
logger.debug(f"creating flask app with configuration {config_name}") |
|
30
|
|
|
app.config.from_object(config_name) |
|
31
|
|
|
app.config.from_envvar("ANNIF_SETTINGS", silent=True) |
|
32
|
|
|
return app |
|
33
|
|
|
|
|
34
|
|
|
|
|
35
|
|
|
def create_cx_app(config_name: str | None = None) -> FlaskApp: |
|
36
|
|
|
"""Create a Connexion app to be used for the API.""" |
|
37
|
|
|
import connexion |
|
38
|
|
|
from connexion.datastructures import MediaTypeDict |
|
39
|
|
|
from connexion.middleware import MiddlewarePosition |
|
40
|
|
|
from connexion.validators import FormDataValidator, MultiPartFormDataValidator |
|
41
|
|
|
from starlette.middleware.cors import CORSMiddleware |
|
42
|
|
|
|
|
43
|
|
|
import annif.registry |
|
44
|
|
|
from annif.openapi.validation import CustomRequestBodyValidator |
|
45
|
|
|
|
|
46
|
|
|
specdir = os.path.join(os.path.dirname(__file__), "openapi") |
|
47
|
|
|
cxapp = connexion.FlaskApp(__name__, specification_dir=specdir) |
|
48
|
|
|
config_name = _get_config_name(config_name) |
|
49
|
|
|
logger.debug(f"creating connexion app with configuration {config_name}") |
|
50
|
|
|
cxapp.app.config.from_object(config_name) |
|
51
|
|
|
cxapp.app.config.from_envvar("ANNIF_SETTINGS", silent=True) |
|
52
|
|
|
|
|
53
|
|
|
validator_map = { |
|
54
|
|
|
"body": MediaTypeDict( |
|
55
|
|
|
{ |
|
56
|
|
|
"*/*json": CustomRequestBodyValidator, |
|
57
|
|
|
"application/x-www-form-urlencoded": FormDataValidator, |
|
58
|
|
|
"multipart/form-data": MultiPartFormDataValidator, |
|
59
|
|
|
} |
|
60
|
|
|
), |
|
61
|
|
|
} |
|
62
|
|
|
cxapp.add_api("annif.yaml", validator_map=validator_map) |
|
63
|
|
|
|
|
64
|
|
|
# add CORS support |
|
65
|
|
|
cxapp.add_middleware( |
|
66
|
|
|
CORSMiddleware, |
|
67
|
|
|
position=MiddlewarePosition.BEFORE_EXCEPTION, |
|
68
|
|
|
allow_origins=["*"], |
|
69
|
|
|
) |
|
70
|
|
|
|
|
71
|
|
|
if cxapp.app.config["INITIALIZE_PROJECTS"]: |
|
72
|
|
|
annif.registry.initialize_projects(cxapp.app) |
|
73
|
|
|
logger.info("finished initializing projects") |
|
74
|
|
|
|
|
75
|
|
|
# register the views via blueprints |
|
76
|
|
|
from annif.views import bp |
|
77
|
|
|
|
|
78
|
|
|
cxapp.app.register_blueprint(bp) |
|
79
|
|
|
|
|
80
|
|
|
# return the Connexion app |
|
81
|
|
|
return cxapp |
|
82
|
|
|
|
|
83
|
|
|
|
|
84
|
|
|
create_app = create_cx_app # Alias to allow starting directly with uvicorn run |
|
85
|
|
|
|
|
86
|
|
|
|
|
87
|
|
|
def _get_config_name(config_name: str | None) -> str: |
|
88
|
|
|
if config_name is None: |
|
89
|
|
|
config_name = os.environ.get("ANNIF_CONFIG") |
|
90
|
|
|
if config_name is None: |
|
91
|
|
|
if os.environ.get("FLASK_RUN_FROM_CLI") == "true": # pragma: no cover |
|
92
|
|
|
config_name = "annif.default_config.Config" |
|
93
|
|
|
else: |
|
94
|
|
|
config_name = "annif.default_config.ProductionConfig" # pragma: no cover |
|
95
|
|
|
return config_name |
|
96
|
|
|
|
|
97
|
|
|
|
|
98
|
|
|
def _set_tensorflow_loglevel(): |
|
99
|
|
|
"""Set TensorFlow log level based on Annif log level (--verbosity/-v |
|
100
|
|
|
option) using an environment variable. INFO messages by TF are shown only on |
|
101
|
|
|
DEBUG (or NOTSET) level of Annif.""" |
|
102
|
|
|
annif_loglevel = logger.getEffectiveLevel() |
|
103
|
|
|
tf_loglevel_mapping = { |
|
104
|
|
|
0: "0", # NOTSET |
|
105
|
|
|
10: "0", # DEBUG |
|
106
|
|
|
20: "1", # INFO |
|
107
|
|
|
30: "1", # WARNING |
|
108
|
|
|
40: "2", # ERROR |
|
109
|
|
|
50: "3", # CRITICAL |
|
110
|
|
|
} |
|
111
|
|
|
tf_loglevel = tf_loglevel_mapping[annif_loglevel] |
|
112
|
|
|
os.environ.setdefault("TF_CPP_MIN_LOG_LEVEL", tf_loglevel) |
|
113
|
|
|
|