Controller : dataset
Action : search
Action : search
Installation paths relative to:
/usr/lib/ckan/geospatial29/lib/python3.8/site-packages
| Package | Version | Installed Path |
|---|---|---|
| acme | 1.1.0 | /usr/lib/python3/dist-packages |
| alabaster | 0.7.13 | |
| alembic | 1.0.0 | |
| annotated-types | 0.5.0 | |
| appdirs | 1.4.3 | /usr/lib/python3/dist-packages |
| APScheduler | 3.9.1.post1 | |
| argparse | 1.4.0 | |
| arrow | 1.2.3 | |
| asttokens | 2.2.1 | |
| atomicwrites | 1.4.1 | |
| attrs | 22.2.0 | |
| Automat | 0.8.0 | /usr/lib/python3/dist-packages |
| aws-sam-translator | 1.75.0 | |
| aws-xray-sdk | 2.12.0 | |
| Babel | 2.7.0 | |
| backcall | 0.2.0 | |
| backports.zoneinfo | 0.2.1 | |
| Beaker | 1.11.0 | |
| beautifulsoup4 | 4.9.1 | |
| binaryornot | 0.4.4 | |
| bleach | 3.1.4 | |
| blinker | 1.5 | |
| boto | 2.49.0 | |
| boto3 | 1.26.106 | |
| botocore | 1.29.106 | |
| certbot | 0.40.0 | /usr/lib/python3/dist-packages |
| certifi | 2021.5.30 | |
| cffi | 1.15.1 | |
| cfn-lint | 0.80.3 | |
| chardet | 4.0.0 | |
| charset-normalizer | 2.0.12 | |
| ckan | 2.9.9 | /usr/lib/ckan/geospatial29/src/ckan |
| ckanapi | 3.5 | |
| ckanext-clipboard | 0.1 | /usr/lib/ckan/geospatial29/src/ckanext-clipboard |
| ckanext-dcat | 1.5.1 | |
| ckanext-geoview | 0.0.20 | /usr/lib/ckan/geospatial29/src/ckanext-geoview |
| ckanext-gspf | 1.0 | /usr/lib/ckan/geospatial29/src/ckanext-gspf |
| ckanext-harvest | 1.4.1 | /usr/lib/ckan/geospatial29/src/ckanext-harvest |
| ckanext-hierarchy | 1.1.0 | /usr/lib/ckan/geospatial29/src/ckanext-hierarchy |
| ckanext-ldap | 2.0.0a0 | /usr/lib/ckan/geospatial29/src/ckanext-ldap |
| ckanext-pdfview | 0.0.7 | /usr/lib/ckan/geospatial29/src/ckanext-pdfview |
| ckanext-s3filestore | 1.0.0 | |
| ckanext-showcase | 1.6.0 | |
| ckanext-sitemap | 0.0.1 | /usr/lib/ckan/geospatial29/src/ckanext-sitemap |
| ckanext-spatial | 1.0.0 | /usr/lib/ckan/geospatial29/src/ckanext-spatial |
| ckanserviceprovider | 1.1.0 | |
| ckantoolkit | 0.0.7 | |
| click | 8.1.7 | |
| click-plugins | 1.1.1 | |
| cligj | 0.7.2 | |
| cloud-init | 24.4.1 | /usr/lib/python3/dist-packages |
| colorama | 0.4.3 | /usr/lib/python3/dist-packages |
| command-not-found | 0.3 | /usr/lib/python3/dist-packages |
| ConfigArgParse | 0.13.0 | /usr/lib/python3/dist-packages |
| configobj | 5.0.6 | /usr/lib/python3/dist-packages |
| constantly | 15.1.0 | /usr/lib/python3/dist-packages |
| cookiecutter | 1.7.0 | |
| coverage | 6.5.0 | |
| coveralls | 3.3.1 | |
| cryptography | 38.0.1 | |
| dbus-python | 1.2.16 | /usr/lib/python3/dist-packages |
| debugpy | 1.8.13 | |
| decorator | 5.1.1 | |
| disqus | 0.1 | /usr/lib/ckan/geospatial29/src/ckanext-disqus |
| distlib | 0.3.0 | /usr/lib/python3/dist-packages |
| distro | 1.4.0 | /usr/lib/python3/dist-packages |
| distro-info | 0.23+ubuntu1.1 | /usr/lib/python3/dist-packages |
| docker | 6.1.3 | |
| docopt | 0.6.2 | |
| docutils | 0.12 | |
| dominate | 2.4.0 | |
| ecdsa | 0.14.1 | |
| entrypoints | 0.3 | /usr/lib/python3/dist-packages |
| et-xmlfile | 1.1.0 | |
| executing | 1.2.0 | |
| factory-boy | 2.12.0 | |
| Faker | 16.7.0 | |
| fanstatic | 1.1 | |
| feedgen | 0.9.0 | |
| feedgenerator | 1.9 | |
| filelock | 3.0.12 | /usr/lib/python3/dist-packages |
| fiona | 1.9.6 | |
| Flask | 1.1.1 | |
| Flask-Babel | 1.0.0 | |
| Flask-DebugToolbar | 0.11.0 | |
| Flask-Login | 0.6.0 | |
| flask-multistatic | 1.0 | |
| freezegun | 0.3.15 | |
| funcsigs | 1.0.2 | |
| future | 0.18.3 | |
| GDAL | 3.0.4 | /usr/lib/python3/dist-packages |
| GeoAlchemy | 0.7.2 | |
| GeoAlchemy2 | 0.5.0 | |
| geomet | 1.0.0 | |
| geopandas | 0.13.2 | |
| html5lib | 1.0.1 | |
| httplib2 | 0.14.0 | /usr/lib/python3/dist-packages |
| httpretty | 0.6.2 | |
| hyperlink | 19.0.0 | /usr/lib/python3/dist-packages |
| idna | 2.10 | |
| ijson | 3.2.0.post0 | |
| imagesize | 1.4.1 | |
| importlib-metadata | 6.0.0 | |
| importlib-resources | 6.1.0 | |
| incremental | 22.10.0 | |
| ipdb | 0.13.2 | |
| ipython | 8.9.0 | |
| isodate | 0.6.1 | |
| itsdangerous | 1.1.0 | |
| jedi | 0.18.2 | |
| Jinja2 | 2.10.1 | |
| jinja2-time | 0.2.0 | |
| jmespath | 1.0.1 | |
| josepy | 1.2.0 | /usr/lib/python3/dist-packages |
| jschema-to-python | 1.2.3 | |
| json-table-schema | 0.2.1 | |
| jsondiff | 2.0.0 | |
| jsonlines | 3.1.0 | |
| jsonpatch | 1.33 | |
| jsonpickle | 3.0.2 | |
| jsonpointer | 2.4 | |
| jsonschema | 4.19.1 | |
| jsonschema-specifications | 2023.7.1 | |
| junit-xml | 1.9 | |
| keyring | 18.0.1 | /usr/lib/python3/dist-packages |
| keyrings.alt | 3.4.0 | /usr/lib/python3/dist-packages |
| language-selector | 0.1 | /usr/lib/python3/dist-packages |
| launchpadlib | 1.10.13 | /usr/lib/python3/dist-packages |
| lazr.restfulclient | 0.14.2 | /usr/lib/python3/dist-packages |
| lazr.uri | 1.0.3 | /usr/lib/python3/dist-packages |
| linear-tsv | 1.1.0 | |
| lxml | 4.6.3 | |
| Mako | 1.1.5 | |
| Markdown | 2.6.7 | |
| MarkupSafe | 1.1.1 | |
| matplotlib-inline | 0.1.6 | |
| messytables | 0.15.2 | |
| mock | 2.0.0 | |
| more-itertools | 9.0.0 | |
| moto | 1.3.16 | |
| mpmath | 1.3.0 | |
| netifaces | 0.10.4 | /usr/lib/python3/dist-packages |
| networkx | 3.1 | |
| nose | 1.3.7 | |
| numpy | 1.24.1 | |
| oauthlib | 3.1.0 | /usr/lib/python3/dist-packages |
| openpyxl | 3.1.2 | |
| OWSLib | 0.18.0 | |
| packaging | 23.0 | |
| pandas | 2.0.3 | |
| parsedatetime | 2.4 | /usr/lib/python3/dist-packages |
| parso | 0.8.3 | |
| passlib | 1.6.5 | |
| Paste | 3.5.3 | |
| pbr | 5.11.1 | |
| pexpect | 4.8.0 | |
| pickleshare | 0.7.5 | |
| pika | 1.2.1 | |
| pip | 23.2.1 | |
| pip-tools | 5.1.2 | |
| pkg-resources | 0.0.0 | |
| pkgutil-resolve-name | 1.3.10 | |
| pluggy | 0.13.1 | |
| polib | 1.0.7 | |
| poyo | 0.5.0 | |
| prettytable | 0.7.2 | /usr/lib/python3/dist-packages |
| prompt-toolkit | 3.0.36 | |
| psycopg2 | 2.8.2 | |
| ptyprocess | 0.7.0 | |
| pure-eval | 0.2.2 | |
| py | 1.11.0 | |
| pyarrow | 15.0.1 | |
| pyasn1 | 0.5.0 | |
| pyasn1-modules | 0.3.0 | pyasn1_modules-0.3.0-py3.8.egg |
| pycodestyle | 2.5.0 | |
| pycparser | 2.21 | |
| pycrypto | 2.6.1 | /usr/lib/python3/dist-packages |
| pycurl | 7.43.0.2 | /usr/lib/python3/dist-packages |
| pydantic | 2.4.1 | |
| pydantic-core | 2.10.1 | |
| pyfakefs | 3.2 | |
| Pygments | 2.14.0 | |
| PyGObject | 3.36.0 | /usr/lib/python3/dist-packages |
| PyHamcrest | 1.9.0 | /usr/lib/python3/dist-packages |
| PyICU | 2.4.2 | /usr/lib/python3/dist-packages |
| PyJWT | 1.7.1 | |
| pyOpenSSL | 23.0.0 | |
| pyparsing | 3.0.9 | |
| pyproj | 3.5.0 | |
| pyRFC3339 | 1.1 | /usr/lib/python3/dist-packages |
| pyrsistent | 0.15.5 | /usr/lib/python3/dist-packages |
| pyserial | 3.4 | /usr/lib/python3/dist-packages |
| pysolr | 3.6.0 | |
| pytest | 4.6.5 | |
| pytest-ckan | 0.0.12 | |
| pytest-cov | 2.7.1 | |
| pytest-freezegun | 0.4.1 | |
| pytest-rerunfailures | 8.0 | |
| pytest-split-tests | 1.0.9 | |
| python-apt | 2.0.1+ubuntu0.20.4.1 | /usr/lib/python3/dist-packages |
| python-dateutil | 2.8.2 | |
| python-debian | 0.1.36+ubuntu1.1 | /usr/lib/python3/dist-packages |
| python-editor | 1.0.4 | |
| python-jose | 3.3.0 | |
| python-ldap | 3.0.0 | python_ldap-3.0.0-py3.8-linux-x86_64.egg |
| python-magic | 0.4.15 | |
| pytz | 2024.1 | |
| pytz-deprecation-shim | 0.1.0.post0 | |
| PyUtilib | 5.7.1 | |
| PyYAML | 5.4.1 | |
| rdflib | 6.1.1 | |
| redis | 3.5.3 | |
| referencing | 0.30.2 | |
| regex | 2023.8.8 | |
| repoze.lru | 0.7 | |
| repoze.who | 2.3 | |
| requests | 2.27.1 | |
| requests-toolbelt | 0.8.0 | /usr/lib/python3/dist-packages |
| requests-unixsocket | 0.2.0 | /usr/lib/python3/dist-packages |
| responses | 0.20.0 | |
| Routes | 1.13 | |
| rpds-py | 0.10.3 | |
| rq | 1.0 | |
| rsa | 4.9 | |
| s3transfer | 0.6.0 | |
| sarif-om | 1.0.4 | |
| SecretStorage | 2.3.1 | /usr/lib/python3/dist-packages |
| service-identity | 18.1.0 | /usr/lib/python3/dist-packages |
| setuptools | 44.1.0 | |
| shapely | 2.0.1 | |
| shutilwhich | 1.1.0 | |
| simplejson | 3.10.0 | |
| six | 1.16.0 | |
| snowballstemmer | 2.2.0 | |
| sos | 4.8.2 | /usr/lib/python3/dist-packages |
| soupsieve | 2.4 | |
| Sphinx | 1.8.5 | |
| sphinx-rtd-theme | 0.4.3 | |
| sphinxcontrib-serializinghtml | 1.1.5 | |
| sphinxcontrib-websupport | 1.2.4 | |
| SQLAlchemy | 1.3.24 | |
| sqlparse | 0.2.2 | |
| ssh-import-id | 5.10 | /usr/lib/python3/dist-packages |
| sshpubkeys | 3.3.1 | |
| stack-data | 0.6.2 | |
| supervisor | 4.1.0 | /usr/lib/python3/dist-packages |
| sympy | 1.12 | |
| systemd-python | 234 | /usr/lib/python3/dist-packages |
| tabulator | 1.53.5 | |
| toml | 0.10.2 | |
| towncrier | 19.2.0 | |
| traitlets | 5.9.0 | |
| Twisted | 18.9.0 | /usr/lib/python3/dist-packages |
| typing-extensions | 4.8.0 | |
| tzdata | 2023.3 | |
| tzlocal | 4.3 | |
| ubuntu-pro-client | 8001 | /usr/lib/python3/dist-packages |
| ufw | 0.36 | /usr/lib/python3/dist-packages |
| unattended-upgrades | 0.1 | /usr/lib/python3/dist-packages |
| unicodecsv | 0.14.1 | |
| Unidecode | 1.0.22 | |
| urllib3 | 1.26.6 | |
| uWSGI | 2.0.21 | |
| virtualenv | 20.0.17 | /usr/lib/python3/dist-packages |
| wadllib | 1.3.3 | /usr/lib/python3/dist-packages |
| watchdog | 2.1.5 | |
| wcwidth | 0.2.6 | |
| webassets | 0.12.1 | |
| webencodings | 0.5.1 | |
| WebOb | 1.8.7 | |
| websocket-client | 1.6.3 | |
| Werkzeug | 2.0.3 | |
| wheel | 0.25.0 | |
| whichcraft | 0.6.1 | |
| wrapt | 1.15.0 | |
| xlrd | 2.0.1 | |
| xmltodict | 0.13.0 | |
| zipp | 3.12.1 | |
| zope.component | 4.3.0 | /usr/lib/python3/dist-packages |
| zope.event | 4.4 | /usr/lib/python3/dist-packages |
| zope.hookable | 5.0.0 | /usr/lib/python3/dist-packages |
| zope.interface | 6.0 |
| Resource | Value |
|---|---|
| User CPU time | 134.691 msec |
| System CPU time | 0.000 msec |
| Total CPU time | 134.691 msec |
| Elapsed time | 170.917 msec |
| Context switches | 27 voluntary, 67 involuntary |
| Key | Value |
|---|---|
| HTTP_ACCEPT | */* |
| HTTP_ACCEPT_ENCODING | gzip, br, zstd, deflate |
| HTTP_CONNECTION | keep-alive |
| HTTP_HOST | wscart.geospatial.jp |
| HTTP_USER_AGENT | Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com) |
| QUERY_STRING | res_format=7z&tags=%E8%B1%8A%E4%B8%AD%E5%B8%82 |
| REMOTE_ADDR | 172.31.27.172 |
| REQUEST_METHOD | GET |
| SCRIPT_NAME | |
| SERVER_NAME | wscart.geospatial.jp |
| SERVER_PORT | 80 |
| SERVER_PROTOCOL | HTTP/1.1 |
| SERVER_SOFTWARE | Apache/2.4.41 (Ubuntu) |
| View Function | args | kwargs |
|---|---|---|
| ckan.views.dataset.search | [] | package_type=dataset |
| Variable | Value |
|---|
| Variable | Value |
|---|---|
| '_domain' | None |
| '_path' | '/' |
| '_accessed_time' | 1751951238.9049199 |
| '_creation_time' | 1751951238.9049199 |
| Variable | Value |
|---|---|
| 'res_format' | '7z' |
| 'tags' | '豊中市' |
| Variable | Value |
|---|
| Key | Value |
|---|---|
| __file__ | '/etc/ckan/geospatial29/ckan.ini' |
| api_token.jwt.algorithm | 'HS256' |
| api_token.jwt.decode.secret | 'string:28JdvMqlSBa9Mwo8XWHoPzs26' |
| api_token.jwt.encode.secret | 'string:28JdvMqlSBa9Mwo8XWHoPzs26' |
| api_token.nbytes | '60' |
| app_instance_uuid | '9f0a9f72-58f0-4389-aa76-69c78b4fecf3' |
| APPLICATION_ROOT | '/' |
| BABEL_DEFAULT_LOCALE | 'en' |
| BABEL_DEFAULT_TIMEZONE | 'Asia/Tokyo' |
| BABEL_DOMAIN | 'ckan' |
| BABEL_MULTIPLE_DOMAINS | 'ckan;ckanext-dcat;ckanext-showcase' |
| BABEL_TRANSLATION_DIRECTORIES | '/usr/lib/ckan/locale/i18n;/usr/lib/ckan/geospatial29/src/ckanext-dcat/ckanext/dcat/plugins/../i18n;/usr/lib/ckan/geospatial29/src/ckanext-showcase/ckanext/showcase/i18n' |
| beaker.session.key | 'ckan' |
| beaker.session.secret | '28JdvMqlSBa9Mwo8XWHoPzs26' |
| cache_dir | '/tmp/default/' |
| ckan.activity_list_limit | '31' |
| ckan.activity_streams_enabled | 'true' |
| ckan.admin_tabs | {'showcase_blueprint.admins': {'label': 'Showcase Config', 'icon': None}} |
| ckan.auth.allow_dataset_collaborators | 'false' |
| ckan.auth.anon_create_dataset | 'false' |
| ckan.auth.create_dataset_if_not_in_organization | 'false' |
| ckan.auth.create_default_api_keys | 'true' |
| ckan.auth.create_unowned_dataset | 'false' |
| ckan.auth.create_user_via_api | 'true' |
| ckan.auth.create_user_via_web | 'true' |
| ckan.auth.public_activity_stream_detail | 'true' |
| ckan.auth.public_user_details | 'false' |
| ckan.auth.roles_that_cascade_to_sub_groups | 'admin' |
| ckan.auth.user_create_groups | 'false' |
| ckan.auth.user_create_organizations | 'false' |
| ckan.auth.user_delete_groups | 'true' |
| ckan.auth.user_delete_organizations | 'true' |
| ckan.base_public_folder | 'public' |
| ckan.base_templates_folder | 'templates' |
| ckan.base_theme | 'rn25' |
| ckan.cache_enabled | 'false' |
| ckan.cache_expires | '3600' |
| ckan.cors.origin_allow_all | 'true' |
| ckan.cors.origin_whitelist | 'https://www.mlit-data.jp/ https://www.digitalsmartcity.jp/ https://dev.mlit-data.jp/ http://dev.mlit-data.jp/ http://localhost/' |
| ckan.datapusher.formats | 'csv xls xlsx tsv application/csv application/vnd.ms-excel application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' |
| ckan.datapusher.url | 'http://0.0.0.0:8800/' |
| ckan.datastore.default_fts_index_method | 'gist' |
| ckan.datastore.default_fts_lang | 'english' |
| ckan.datastore.read_url | 'postgresql://datastore_default:datastore_default@172.31.73.163/datastore_gicv24x' |
| ckan.datastore.write_url | 'postgresql://ckan_default:ckan_default@172.31.73.163/datastore_gicv24x' |
| ckan.devserver.host | 'localhost' |
| ckan.devserver.port | '5000' |
| ckan.display_timezone | 'Asia/Tokyo' |
| ckan.favicon | 'images/favicon_2022.ico' |
| ckan.feeds.author_link | '' |
| ckan.feeds.author_name | '' |
| ckan.feeds.authority_name | '' |
| ckan.feeds.date | '' |
| ckan.gravatar_default | 'identicon' |
| ckan.hide_activity_from_users | 'default' |
| ckan.homepage_style | '1' |
| ckan.host | 'wscart.geospatial.jp' |
| ckan.i18n_directory | '/usr/lib/ckan/locale' |
| ckan.jobs.timeout | '600' |
| ckan.locale_default | 'ja' |
| ckan.locale_order | 'en pt_BR ja it cs_CZ ca es fr el sv sr sr@latin no sk fi ru de pl nl bg ko_KR hu sa sl lv' |
| ckan.locales_filtered_out | 'en_GB' |
| ckan.locales_offered | 'ja en' |
| ckan.main_css | '/base/css/main.css' |
| ckan.max_image_size | '2' |
| ckan.max_resource_size | '10' |
| ckan.plugins | '\nstats\ntext_view image_view\nwebpage_view\npdf_view\nshowcase\ngspf_api\ngspf_theme\ngspf_dataset\ngspf_organization\nclipboard\nhierarchy_display\nldap\ns3filestore\ndcat dcat_rdf_harvester dcat_json_harvester dcat_json_interface\nspatial_metadata spatial_query\nsitemap' |
| ckan.preview.direct | 'png jpg gif' |
| ckan.preview.loadable | 'html htm rdf+xml owl+xml xml n3 n-triples turtle plain atom csv tsv rss txt json' |
| ckan.requests.timeout | '600' |
| ckan.root_path | '/ckan' |
| ckan.site_about | '' |
| ckan.site_custom_css | '' |
| ckan.site_description | 'G空間情報センター' |
| ckan.site_id | 'default' |
| ckan.site_intro_text | '' |
| ckan.site_logo | 'images/logo_header.png' |
| ckan.site_title | 'G空間情報センター' |
| ckan.site_url | 'https://wscart.geospatial.jp' |
| ckan.site_url_pusher | 'http://localhost/ckan' |
| ckan.spatial.srid | '4326' |
| ckan.static_max_age | '21600' |
| ckan.storage_path | '/home/ckan_geospatial' |
| ckan.theme | '' |
| ckan.tracking_enabled | 'true' |
| ckan.views.default_views | 'leaflet_view image_view recline_view text_view wmts_view pdf_view' |
| ckan.webassets.path | '/var/lib/ckan/webassets' |
| ckan.webassets.use_x_sendfile | 'false' |
| ckanext.clipboard.cart_secret | 'tN8_YQC5icM4rcepj_VmkLYgxTRAtjcy' |
| ckanext.geoview.ol_viewer.formats | 'wms geojson kml gml wfs' |
| ckanext.gspf.accountmanager_url | 'http://localhost:5555/usermanager' |
| ckanext.gspf.api_key | '0aa756ea-8784-46bf-a10d-e58e1265ef9a' |
| ckanext.gspf.base_dn | 'ou=People,dc=geospatial,dc=jp' |
| ckanext.gspf.bind_dn | 'cn=admin,dc=geospatial,dc=jp' |
| ckanext.gspf.bind_password | 'geospatial_ldap' |
| ckanext.gspf.cities_name_file | '/usr/lib/ckan/geospatial29/src/ckanext-gspf/ckanext/gspf/templates/package/localgovernment_ckan.json' |
| ckanext.gspf.dbhost | '172.31.73.163' |
| ckanext.gspf.dbname | 'ckan_geospatial' |
| ckanext.gspf.dbpass | 'ckan_default' |
| ckanext.gspf.dbport | '5432' |
| ckanext.gspf.dbuser | 'ckan_default' |
| ckanext.gspf.ldap_server | 'ldap://172.31.73.163' |
| ckanext.gspf.license_id | '/etc/ckan/geospatial29/license_id.json' |
| ckanext.gspf.max_thumbnail_size | '2' |
| ckanext.gspf.seacret | 'geospatial.jp' |
| ckanext.gspf.tracking.export_dir | '/usr/lib/ckan/log' |
| ckanext.gspf.wordpress_url | 'https://ec2-18-176-112-23.ap-northeast-1.compute.amazonaws.com' |
| ckanext.ldap.about | 'o' |
| ckanext.ldap.allow_password_reset | 'true' |
| ckanext.ldap.auth.dn | 'cn=admin,dc=geospatial,dc=jp' |
| ckanext.ldap.auth.mechanism | 'DIGEST-MD5' |
| ckanext.ldap.auth.method | 'SIMPLE' |
| ckanext.ldap.auth.password | 'geospatial_ldap' |
| ckanext.ldap.base_dn | 'ou=People,dc=geospatial,dc=jp' |
| ckanext.ldap.ckan_fallback | True |
| ckanext.ldap.debug_level | 0 |
| ckanext.ldap.email | 'mail' |
| ckanext.ldap.fullname | 'cn' |
| ckanext.ldap.migrate | True |
| ckanext.ldap.organization.role | 'member' |
| ckanext.ldap.prevent_edits | False |
| ckanext.ldap.search.filter | 'uid={login}' |
| ckanext.ldap.trace_level | 0 |
| ckanext.ldap.uri | 'ldap://172.31.73.163' |
| ckanext.ldap.username | 'uid' |
| ckanext.s3filestore.aws_access_key_id | 'AKIAIJLU3H4E64UZ5VEA' |
| ckanext.s3filestore.aws_bucket_name | 'ckan-storage' |
| ckanext.s3filestore.aws_secret_access_key | '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' |
| ckanext.s3filestore.aws_storage_path | 'ckan' |
| ckanext.s3filestore.filesystem_download_fallback | 'true' |
| ckanext.s3filestore.region_name | 'us-east-1' |
| ckanext.s3filestore.signature_version | 's3v4' |
| ckanext.sitemap.autorenew | 'False' |
| ckanext.sitemap.directory | '/var/lib/ckan/sitemap' |
| ckanext.sitemap.groups | 'False' |
| ckanext.sitemap.language_alternatives | 'False' |
| ckanext.sitemap.resources | 'False' |
| ckanext.sitemap.ttl | '86400' |
| ckanext.spatial.common_map.attribution | 'GSI' |
| ckanext.spatial.common_map.custom.url | 'https://cyberjapandata.gsi.go.jp/xyz/std/{z}/{x}/{y}.png' |
| ckanext.spatial.common_map.type | 'custom' |
| ckanext.spatial.search_backent | 'solr' |
| ckanext.spatial.srid | '4326' |
| clear_logo_upload | '' |
| computed_template_paths | ['/usr/lib/ckan/geospatial29/src/ckan/ckanext/stats/templates', '/usr/lib/ckan/geospatial29/src/ckan/ckanext/textview/theme/templates', '/usr/lib/ckan/geospatial29/src/ckan/ckanext/imageview/theme/templates', '/usr/lib/ckan/geospatial29/src/ckan/ckanext/webpageview/theme/templates', '/usr/lib/ckan/geospatial29/src/ckanext-pdfview/ckanext/pdfview/theme/templates', '/usr/lib/ckan/geospatial29/src/ckanext-showcase/ckanext/showcase/templates', '/usr/lib/ckan/geospatial29/src/ckanext-gspf/ckanext/gspf/templates', '/usr/lib/ckan/geospatial29/src/ckanext-clipboard/ckanext/clipboard/templates', '/usr/lib/ckan/geospatial29/src/ckanext-hierarchy/ckanext/hierarchy/templates', '/usr/lib/ckan/geospatial29/src/ckanext-ldap/ckanext/ldap/templates', '/usr/lib/ckan/geospatial29/src/ckanext-s3filestore/ckanext/s3filestore/templates', '/usr/lib/ckan/geospatial29/src/ckanext-s3filestore/ckanext/s3filestore/theme/templates', '/usr/lib/ckan/geospatial29/src/ckanext-dcat/ckanext/dcat/plugins/../templates', '/usr/lib/ckan/geospatial29/src/ckanext-spatial/ckanext/spatial/plugin/../templates', '/usr/lib/ckan/geospatial29/src/ckanext-sitemap/ckanext/sitemap/templates', '/usr/lib/ckan/geospatial29/src/ckan/ckan/templates'] |
| DEBUG | True |
| debug | 'true' |
| DEBUG_TB_ENABLED | True |
| DEBUG_TB_HOSTS | () |
| DEBUG_TB_INTERCEPT_REDIRECTS | False |
| DEBUG_TB_PANELS | ('flask_debugtoolbar.panels.versions.VersionDebugPanel', 'flask_debugtoolbar.panels.timer.TimerDebugPanel', 'flask_debugtoolbar.panels.headers.HeaderDebugPanel', 'flask_debugtoolbar.panels.request_vars.RequestVarsDebugPanel', 'flask_debugtoolbar.panels.config_vars.ConfigVarsDebugPanel', 'flask_debugtoolbar.panels.template.TemplateDebugPanel', 'flask_debugtoolbar.panels.sqlalchemy.SQLAlchemyDebugPanel', 'flask_debugtoolbar.panels.logger.LoggingPanel', 'flask_debugtoolbar.panels.route_list.RouteListDebugPanel', 'flask_debugtoolbar.panels.profiler.ProfilerDebugPanel') |
| disqus.name | 'gspacepf' |
| ENV | 'production' |
| expire_api_token.default_lifetime | '3600' |
| EXPLAIN_TEMPLATE_LOADING | False |
| extra_public_paths | '/usr/lib/ckan/geospatial29/src/ckan/ckanext/stats/public,/usr/lib/ckan/geospatial29/src/ckan/ckanext/textview/theme/public,/usr/lib/ckan/geospatial29/src/ckanext-showcase/ckanext/showcase/public,/usr/lib/ckan/geospatial29/src/ckanext-gspf/ckanext/gspf/public,/usr/lib/ckan/geospatial29/src/ckanext-hierarchy/ckanext/hierarchy/fanstatic,/usr/lib/ckan/geospatial29/src/ckanext-spatial/ckanext/spatial/plugin/../public,/usr/lib/ckan/geospatial29/src/ckanext-sitemap/ckanext/sitemap/public' |
| extra_template_paths | '/usr/lib/ckan/geospatial29/src/ckan/ckanext/stats/templates,/usr/lib/ckan/geospatial29/src/ckan/ckanext/textview/theme/templates,/usr/lib/ckan/geospatial29/src/ckan/ckanext/imageview/theme/templates,/usr/lib/ckan/geospatial29/src/ckan/ckanext/webpageview/theme/templates,/usr/lib/ckan/geospatial29/src/ckanext-pdfview/ckanext/pdfview/theme/templates,/usr/lib/ckan/geospatial29/src/ckanext-showcase/ckanext/showcase/templates,/usr/lib/ckan/geospatial29/src/ckanext-gspf/ckanext/gspf/templates,/usr/lib/ckan/geospatial29/src/ckanext-clipboard/ckanext/clipboard/templates,/usr/lib/ckan/geospatial29/src/ckanext-hierarchy/ckanext/hierarchy/templates,/usr/lib/ckan/geospatial29/src/ckanext-ldap/ckanext/ldap/templates,/usr/lib/ckan/geospatial29/src/ckanext-s3filestore/ckanext/s3filestore/templates,/usr/lib/ckan/geospatial29/src/ckanext-s3filestore/ckanext/s3filestore/theme/templates,/usr/lib/ckan/geospatial29/src/ckanext-dcat/ckanext/dcat/plugins/../templates,/usr/lib/ckan/geospatial29/src/ckanext-spatial/ckanext/spatial/plugin/../templates,/usr/lib/ckan/geospatial29/src/ckanext-sitemap/ckanext/sitemap/templates' |
| global_conf | {'__file__': '/etc/ckan/geospatial29/ckan.ini', 'here': '/etc/ckan/geospatial29', 'debug': 'true'} |
| googleanalytics.account | 'gspacepf' |
| googleanalytics.domain | 'auto' |
| googleanalytics.id | 'UA-72593077-3' |
| googleanalytics.password | 'gspacepasswd' |
| googleanalytics.track_events | 'false' |
| googleanalytics.username | 'gspacepf@gmail.com' |
| here | '/etc/ckan/geospatial29' |
| JSON_AS_ASCII | True |
| JSON_SORT_KEYS | True |
| JSONIFY_MIMETYPE | 'application/json' |
| JSONIFY_PRETTYPRINT_REGULAR | False |
| licenses_group_url | 'file:///etc/ckan/geospatial29/license_id.json' |
| logo_upload | '' |
| MAX_CONTENT_LENGTH | None |
| MAX_COOKIE_SIZE | 4093 |
| PERMANENT_SESSION_LIFETIME | datetime.timedelta(days=31) |
| PREFERRED_URL_SCHEME | 'http' |
| PRESERVE_CONTEXT_ON_EXCEPTION | None |
| PROPAGATE_EXCEPTIONS | None |
| pylons.h | {'redirect_to': <function redirect_to at 0x7f653aecb3a0>, 'url': <function url at 0x7f653aecb4c0>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7f653aecb430>, 'url_for': <function url_for at 0x7f653aecb670>, 'url_for_static': <function url_for_static at 0x7f653aecb820>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7f653aecb8b0>, 'is_url': <function is_url at 0x7f653aecb940>, 'url_is_local': <function url_is_local at 0x7f653aecba60>, 'full_current_url': <function full_current_url at 0x7f653aecbaf0>, 'current_url': <function current_url at 0x7f653aecbb80>, 'lang': <function lang at 0x7f653aecbc10>, 'ckan_version': <function ckan_version at 0x7f653aecbca0>, 'lang_native_name': <function lang_native_name at 0x7f653aecbd30>, 'is_rtl_language': <function is_rtl_language at 0x7f653aecbdc0>, 'get_rtl_theme': <function get_rtl_theme at 0x7f653aecbe50>, 'get_rtl_css': <function get_rtl_css at 0x7f653aecbee0>, 'flash_notice': <function flash_notice at 0x7f653aecbf70>, 'flash_error': <function flash_error at 0x7f653aecc430>, 'flash_success': <function flash_success at 0x7f653aecc4c0>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7f653aecc550>, 'link_to': <function link_to at 0x7f653aecc9d0>, 'file': <function file at 0x7f653aecca60>, 'submit': <function submit at 0x7f653aeccaf0>, 'nav_link': <function nav_link at 0x7f653aeccb80>, 'wrapped': <function deprecated.<locals>.decorator.<locals>.wrapped at 0x7f653aecdaf0>, 'build_nav_main': <function build_nav_main at 0x7f653aeccd30>, 'build_nav_icon': <function build_nav_icon at 0x7f653aecd160>, 'build_nav': <function build_nav at 0x7f653aecd1f0>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7f653aecd310>, 'default_group_type': <function default_group_type at 0x7f653aecd430>, 'get_facet_items_dict': <function get_facet_items_dict at 0x7f653aecd4c0>, 'has_more_facets': <function has_more_facets at 0x7f653aecd550>, 'unselected_facet_items': <function unselected_facet_items at 0x7f653aecd5e0>, 'get_param_int': <function get_param_int at 0x7f653aecd670>, 'sorted_extras': <function sorted_extras at 0x7f653aecd8b0>, 'check_access': <function check_access at 0x7f653aecd940>, 'linked_user': <function linked_user at 0x7f653aecd9d0>, 'group_name_to_title': <function group_name_to_title at 0x7f653aecdb80>, 'truncate': <function truncate at 0x7f653aecdc10>, 'markdown_extract': <function markdown_extract at 0x7f653aecdca0>, 'icon_url': <function icon_url at 0x7f653aecdd30>, 'icon_html': <function icon_html at 0x7f653aecddc0>, 'icon': <function icon at 0x7f653aecde50>, 'resource_icon': <function resource_icon at 0x7f653aecdee0>, 'format_icon': <function format_icon at 0x7f653aecdf70>, 'dict_list_reduce': <function dict_list_reduce at 0x7f653aece040>, 'gravatar': <function gravatar at 0x7f653aece0d0>, 'sanitize_url': <function sanitize_url at 0x7f653aece160>, 'user_image': <function user_image at 0x7f653aece1f0>, 'pager_url': <function pager_url at 0x7f653aece280>, 'get_page_number': <function get_page_number at 0x7f653aece310>, 'get_display_timezone': <function get_display_timezone at 0x7f653aece3a0>, 'render_datetime': <function render_datetime at 0x7f653aece430>, 'date_str_to_datetime': <function date_str_to_datetime at 0x7f653aece4c0>, 'parse_rfc_2822_date': <function parse_rfc_2822_date at 0x7f653aece550>, 'time_ago_from_timestamp': <function time_ago_from_timestamp at 0x7f653aece5e0>, 'button_attr': <function button_attr at 0x7f653aece8b0>, 'dataset_display_name': <function dataset_display_name at 0x7f653aece940>, 'dataset_link': <function dataset_link at 0x7f653aece9d0>, 'resource_display_name': <function resource_display_name at 0x7f653aecea60>, 'resource_link': <function resource_link at 0x7f653aeceaf0>, 'tag_link': <function tag_link at 0x7f653aeceb80>, 'group_link': <function group_link at 0x7f653aecec10>, 'organization_link': <function organization_link at 0x7f653aececa0>, 'dump_json': <function dump_json at 0x7f653aeced30>, 'auto_log_message': <function auto_log_message at 0x7f653aecedc0>, 'activity_div': <function activity_div at 0x7f653aecee50>, 'snippet': <function snippet at 0x7f653aeceee0>, 'convert_to_dict': <function convert_to_dict at 0x7f653aecef70>, 'follow_button': <function follow_button at 0x7f653aed0040>, 'follow_count': <function follow_count at 0x7f653aed00d0>, 'add_url_param': <function add_url_param at 0x7f653aed01f0>, 'remove_url_param': <function remove_url_param at 0x7f653aed0280>, 'include_resource': <function include_resource at 0x7f653aed0310>, 'urls_for_resource': <function urls_for_resource at 0x7f653aed03a0>, 'debug_inspect': <function debug_inspect at 0x7f653aed0430>, 'popular': <function popular at 0x7f653aed04c0>, 'groups_available': <function groups_available at 0x7f653aed0550>, 'organizations_available': <function organizations_available at 0x7f653aed05e0>, 'roles_translated': <function roles_translated at 0x7f653aed0670>, 'user_in_org_or_group': <function user_in_org_or_group at 0x7f653aed0700>, 'dashboard_activity_stream': <function dashboard_activity_stream at 0x7f653aed0790>, 'recently_changed_packages_activity_stream': <function recently_changed_packages_activity_stream at 0x7f653aed0820>, 'escape_js': <function escape_js at 0x7f653aed08b0>, 'get_pkg_dict_extra': <function get_pkg_dict_extra at 0x7f653aed0940>, 'get_request_param': <function get_request_param at 0x7f653aed09d0>, 'html_auto_link': <function html_auto_link at 0x7f653aed0a60>, 'render_markdown': <function render_markdown at 0x7f653aed0af0>, 'format_resource_items': <function format_resource_items at 0x7f653aed0b80>, 'resource_preview': <function resource_preview at 0x7f653aed0c10>, 'get_allowed_view_types': <function get_allowed_view_types at 0x7f653aed0ca0>, 'rendered_resource_view': <function rendered_resource_view at 0x7f653aed0d30>, 'view_resource_url': <function view_resource_url at 0x7f653aed0dc0>, 'resource_view_is_filterable': <function resource_view_is_filterable at 0x7f653aed0e50>, 'resource_view_get_fields': <function resource_view_get_fields at 0x7f653aed0ee0>, 'resource_view_is_iframed': <function resource_view_is_iframed at 0x7f653aed0f70>, 'resource_view_icon': <function resource_view_icon at 0x7f653aed1040>, 'resource_view_display_preview': <function resource_view_display_preview at 0x7f653aed10d0>, 'resource_view_full_page': <function resource_view_full_page at 0x7f653aed1160>, 'remove_linebreaks': <function remove_linebreaks at 0x7f653aed11f0>, 'list_dict_filter': <function list_dict_filter at 0x7f653aed1280>, 'SI_number_span': <function SI_number_span at 0x7f653aed1310>, 'new_activities': <function new_activities at 0x7f653aed13a0>, 'uploads_enabled': <function uploads_enabled at 0x7f653aed1430>, 'get_featured_organizations': <function get_featured_organizations at 0x7f653aed14c0>, 'get_featured_groups': <function get_featured_groups at 0x7f653aed1550>, 'featured_group_org': <function featured_group_org at 0x7f653aed15e0>, 'get_site_statistics': <function get_site_statistics at 0x7f6539f3e940>, 'resource_formats': <function resource_formats at 0x7f653aed1700>, 'unified_resource_format': <function unified_resource_format at 0x7f653aed1790>, 'check_config_permission': <function check_config_permission at 0x7f653aed1820>, 'get_organization': <function get_organization at 0x7f653aed18b0>, 'license_options': <function license_options at 0x7f653aed1940>, 'get_translated': <function get_translated at 0x7f653aed19d0>, 'facets': <function facets at 0x7f653aed1a60>, 'mail_to': <function mail_to at 0x7f653aed1af0>, 'radio': <function radio at 0x7f653aed1b80>, 'clean_html': <function clean_html at 0x7f653aed1c10>, 'flash': <ckan.lib.helpers._Flash object at 0x7f653afcbf70>, 'localised_number': <function localised_number at 0x7f653b0254c0>, 'localised_SI_number': <function localised_SI_number at 0x7f653b0255e0>, 'localised_nice_date': <function localised_nice_date at 0x7f653b025280>, 'localised_filesize': <function localised_filesize at 0x7f653b025550>, 'get_available_locales': <function get_available_locales at 0x7f6540a7b9d0>, 'get_locales_dict': <function get_locales_dict at 0x7f6540a7b940>, 'literal': <class 'ckan.lib.helpers.literal'>, 'asbool': <function asbool at 0x7f65411c9c10>, 'urlencode': <function urlencode at 0x7f6541f81c10>, 'include_asset': <function include_asset at 0x7f653aec8e50>, 'render_assets': <function render_assets at 0x7f653aec8f70>, 'sanitize_id': <function sanitize_id at 0x7f653aed1d30>, 'compare_pkg_dicts': <function compare_pkg_dicts at 0x7f653aed1dc0>, 'activity_list_select': <function activity_list_select at 0x7f653aed1e50>, 'get_collaborators': <function get_collaborators at 0x7f653aed1ee0>, 'can_update_owner_org': <function can_update_owner_org at 0x7f653aed1f70>, 'check_ckan_version': <function check_ckan_version at 0x7f653aed2040>, 'csrf_input': <function csrf_input at 0x7f653aed20d0>, 'get_reference_date': <function get_reference_date at 0x7f652df758b0>, 'get_responsible_party': <function get_responsible_party at 0x7f652df75940>, 'get_common_map_config': <function get_common_map_config at 0x7f652df759d0>, 'helper_available': <function helper_available at 0x7f6538ed7040>, 'dcat_get_endpoint': <function get_endpoint at 0x7f6538ed7940>, 'dcat_endpoints_enabled': <function endpoints_enabled at 0x7f6538ed78b0>, 'is_ldap_user': <function is_ldap_user at 0x7f653995ee50>, 'get_login_action': <function get_login_action at 0x7f653995ef70>, 'group_tree': <function group_tree at 0x7f65399c20d0>, 'group_tree_section': <function group_tree_section at 0x7f65399c2790>, 'get_user_id': <function get_user_id at 0x7f65399bcb80>, 'replace_url': <function replace_url at 0x7f65399bcc10>, 'get_wordpress_url': <function get_wordpress_url at 0x7f65399bcca0>, 'find_tree_path': <function find_tree_path at 0x7f653a19a0d0>, 'rn25_is_target_page': <function is_target_page at 0x7f6539d00430>, 'rn25_image_url': <function make_image_url at 0x7f6539d004c0>, 'rn25_fix_dataset_pager': <function fix_dataset_pager at 0x7f6539d005e0>, 'rn25_build_url_params': <function build_url_params at 0x7f6539d00670>, 'rn25_mark_error_page': <function mark_error_page at 0x7f6539d00700>, 'facet_remove_field': <function facet_remove_field at 0x7f6539f3e8b0>, 'showcase_get_wysiwyg_editor': <function showcase_get_wysiwyg_editor at 0x7f6539f3e9d0>} |
| SECRET_KEY | '28JdvMqlSBa9Mwo8XWHoPzs26' |
| SEND_FILE_MAX_AGE_DEFAULT | datetime.timedelta(seconds=43200) |
| SERVER_NAME | None |
| SESSION_COOKIE_DOMAIN | None |
| SESSION_COOKIE_HTTPONLY | True |
| SESSION_COOKIE_NAME | 'session' |
| SESSION_COOKIE_PATH | None |
| SESSION_COOKIE_SAMESITE | None |
| SESSION_COOKIE_SECURE | False |
| SESSION_REFRESH_EACH_REQUEST | True |
| solr_url | 'http://127.0.0.1:8983/solr/geospatial29_test5' |
| sqlalchemy.pool_pre_ping | True |
| sqlalchemy.url | 'postgresql://ckan_default:ckan_default@172.31.73.163/ckan_geospatial' |
| TEMPLATES_AUTO_RELOAD | None |
| TESTING | False |
| TRAP_BAD_REQUEST_ERRORS | None |
| TRAP_HTTP_EXCEPTIONS | False |
| use | 'egg:ckan' |
| USE_X_SENDFILE | False |
| who.config_file | '/etc/ckan/geospatial29/who.ini' |
| who.log_file | '/tmp/default//who_log.ini' |
| who.log_level | 'warning' |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
| h | {'redirect_to': <function redirect_to at 0x7f653aecb3a0>, 'url': <function url at 0x7f653aecb4c0>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7f653aecb430>, 'url_for': <function url_for at 0x7f653aecb670>, 'url_for_static': <function url_for_static at 0x7f653aecb820>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7f653aecb8b0>, 'is_url': <function is_url at 0x7f653aecb940>, 'url_is_local': <function url_is_local at 0x7f653aecba60>, 'full_current_url': <function full_current_url at 0x7f653aecbaf0>, 'current_url': <function current_url at 0x7f653aecbb80>, 'lang': <function lang at 0x7f653aecbc10>, 'ckan_version': <function ckan_version at 0x7f653aecbca0>, 'lang_native_name': <function lang_native_name at 0x7f653aecbd30>, 'is_rtl_language': <function is_rtl_language at 0x7f653aecbdc0>, 'get_rtl_theme': <function get_rtl_theme at 0x7f653aecbe50>, 'get_rtl_css': <function get_rtl_css at 0x7f653aecbee0>, 'flash_notice': <function flash_notice at 0x7f653aecbf70>, 'flash_error': <function flash_error at 0x7f653aecc430>, 'flash_success': <function flash_success at 0x7f653aecc4c0>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7f653aecc550>, 'link_to': <function link_to at 0x7f653aecc9d0>, 'file': <function file at 0x7f653aecca60>, 'submit': <function submit at 0x7f653aeccaf0>, 'nav_link': <function nav_link at 0x7f653aeccb80>, 'wrapped': <function deprecated.<locals>.decorator.<locals>.wrapped at 0x7f653aecdaf0>, 'build_nav_main': <function build_nav_main at 0x7f653aeccd30>, 'build_nav_icon': <function build_nav_icon at 0x7f653aecd160>, 'build_nav': <function build_nav at 0x7f653aecd1f0>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7f653aecd310>, 'default_group_type': <function default_group_type at 0x7f653aecd430>, 'get_facet_items_dict': <function get_facet_items_dict at 0x7f653aecd4c0>, 'has_more_facets': <function has_more_facets at 0x7f653aecd550>, 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| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'area' |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| title | 'エリア' |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'charge' |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| title | '有償区分' |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'organization' |
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| title | 'カテゴリ' |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| title | 'タグ' |
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|---|---|
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| name | 'res_format' |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| title | 'フォーマット' |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
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| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'license_id' |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| title | 'ライセンス' |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| page | Page: Collection type: <class 'list'> (Current) page: 1 First item: 1 Last item: 1 First page: 1 Last page: 1 Previous page: None Next page: None Items per page: 20 Number of items: 1 Number of pages: 1 |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| count | 1 |
| error | False |
| facets | {'fields': {'res_format': ['7z'], 'tags': ['豊中市']}, 'search': {'area': {'title': 'area', 'items': [{'name': '豊中', 'display_name': '豊中', 'count': 1}, {'name': '府', 'display_name': '府', 'count': 1}, {'name': '市', 'display_name': '市', 'count': 1}, {'name': '大阪', 'display_name': '大阪', 'count': 1}]}, 'charge': {'title': 'charge', 'items': [{'name': '無償', 'display_name': '無償', 'count': 1}]}, 'organization': {'title': 'organization', 'items': [{'name': 'toshi', 'display_name': '都市局', 'count': 1}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': '防災', 'display_name': '防災', 'count': 1}, {'name': '都市計画', 'display_name': '都市計画', 'count': 1}, {'name': '豊中市', 'display_name': '豊中市', 'count': 1}, {'name': '国交DPF', 'display_name': '国交DPF', 'count': 1}, {'name': '人流', 'display_name': '人流', 'count': 1}, {'name': 'マップ', 'display_name': 'マップ', 'count': 1}, {'name': 'デジタルトランスフォーメーション', 'display_name': 'デジタルトランスフォーメーション', 'count': 1}, {'name': 'シミュレーション', 'display_name': 'シミュレーション', 'count': 1}, {'name': 'まちづくり', 'display_name': 'まちづくり', 'count': 1}, {'name': 'PLATEAU', 'display_name': 'PLATEAU', 'count': 1}, {'name': 'LOD2', 'display_name': 'LOD2', 'count': 1}, {'name': 'LOD1', 'display_name': 'LOD1', 'count': 1}, {'name': 'DX', 'display_name': 'DX', 'count': 1}, {'name': 'CityGML', 'display_name': 'CityGML', 'count': 1}, {'name': '3D都市モデル', 'display_name': '3D都市モデル', 'count': 1}, {'name': '3Dモデル', 'display_name': '3Dモデル', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'ZIP', 'display_name': 'ZIP', 'count': 1}, {'name': 'XLSX', 'display_name': 'XLSX', 'count': 1}, {'name': '7z', 'display_name': '7z', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': [{'name': 'plateau', 'display_name': 'PLATEAU Site Policy 「３．著作権について」に拠る', 'count': 1}]}}, 'titles': OrderedDict([('area', 'エリア'), ('charge', '有償区分'), ('organization', '組織'), ('groups', 'カテゴリ'), ('tags', 'タグ'), ('res_format', 'フォーマット'), ('license_id', 'ライセンス')]), 'translated_fields': Undefined, 'remove_field': functools.partial(<function remove_field at 0x7f6539f2c4c0>, 'dataset')} |
| fields | [('res_format', '7z'), ('tags', '豊中市')] |
| form_id | 'dataset-search-form' |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| query | '' |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| show_empty | ImmutableMultiDict([('res_format', '7z'), ('tags', '豊中市')]) |
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| sorting_selected | 'metadata_modified desc' |
| type | 'dataset' |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| banner | Undefined |
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| package | {'area': '大阪府,大阪府_豊中市', 'author': '国土交通省都市局都市政策課', 'author_email': 'hqt-mlit-plateau@mlit.go.jp', 'charge': '無償', 'creator_user_id': 'a45422db-0fc5-455c-882e-4ad6512d9f7e', 'emergency': '無償提供', 'fee': '', 'id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'isopen': True, 'license_agreement': 'Project PLATEAUのサイトポリシーに従って、どなたでも、複製、公衆送信、翻訳・変形等の翻案等、自由に利用できます。商用利用も可能です。（https://www.mlit.go.jp/plateau/site-policy/）', 'license_id': 'plateau', 'license_title': 'PLATEAU Site Policy 「３．著作権について」に拠る', 'license_url': 'https://www.mlit.go.jp/plateau/site-policy/', 'maintainer': '国土交通省都市局都市政策課', 'maintainer_email': 'hqt-mlit-plateau@mlit.go.jp', 'metadata_created': '2021-07-27T12:20:27.169685', 'metadata_modified': '2024-10-04T03:09:21.008981', 'name': 'plateau-27203-toyonaka-shi-2020', 'notes': '航空測量等に基づき取得したデータから建物等の地物を3次元で生成した3D都市モデルです。\r\n商用利用も含め、どなたでも無償で自由にご利用いただけます。\r\n\r\n**特徴**\r\n\r\n3D都市モデルとは、都市空間に存在する建物や街路といったオブジェクトに名称や用途、建設年といった都市活動情報を付与することで、都市空間そのものを再現する3D都市空間情報プラットフォームです。\r\n\r\n様々な都市活動データが3D都市モデルに統合され、フィジカル空間とサイバー空間の高度な融合が実現します。これにより、都市計画立案の高度化や、都市活動のシミュレーション、分析等を行うことが可能となります。\r\n\r\n**仕様**\r\n\r\n提供エリア：\r\n\r\nLOD1作成範囲\u300036.38k㎡\r\n\r\nLOD2作成範囲\u30002.02k㎡\r\n\r\nエリア単位：\r\n\r\n建物\u3000地域基準メッシュ（第3次地域区画、一辺の長さ約1km)\r\n\r\n建物以外\u3000第二次地域区画（総合地域メッシュ、一辺の長さ約10㎞）\r\n\r\nデータ形式：CityGML2.0形式、3DTiles形式、2DShape形式、GeoJSON形式\r\n\r\n**更新情報**\r\n\r\n2021年8月7日\u3000CityGMLを更新しました。\r\n\r\n2021年9月11日\u3000ファイルジオデータベースを追加しました。\r\n\r\n2022年3月31日\u3000CityGML, 3D Tiles, GeoTIFFを更新しました。\r\n\r\n2023年4月6日\u3000製品仕様書V2に対応したデータを追加しました。\r\n\r\n2023年4月8日\u3000関連データセット（V2）を追加しました。\r\n\r\n2023年5月12日\u3000ユースケースデータ（V2）を追加しました。\r\n\r\n**データのバージョンについて**\r\n \r\nデータ名の最後にカッコ書きの記載がないデータは製品仕様書V1に準拠したデータ、”(v[数字])”の記載があるデータは製品仕様書V[数字]に準拠したデータです。\r\n \r\n最新版データは、V2です。', 'num_resources': 11, 'num_tags': 16, 'organization': {'id': 'a14894e9-b06d-411f-83a3-3c83d9615719', 'name': 'toshi', 'title': '都市局', 'type': 'organization', 'description': '国土交通省\u3000都市局', 'image_url': '', 'created': '2018-01-27T05:37:54.542795', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'a14894e9-b06d-411f-83a3-3c83d9615719', 'private': False, 'quality': '製品仕様書による（地図情報レベル2500相当）', 'registerd_date': '', 'restriction': '利用規約による', 'spatial': '{"type":"Polygon","coordinates":[[[135.44099472,34.73069556],[135.44099472,34.82488389],[135.50829361,34.82488389],[135.50829361,34.73069556],[135.44099472,34.73069556]]]}', 'state': 'active', 'thumbnail_url': 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', 'title': '3D都市モデル（Project PLATEAU）豊中市（2020年度）', 'type': 'dataset', 'url': 'https://www.mlit.go.jp/plateau/', 'version': '1.0.0', 'resources': [{'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-03-28T23:00:25.095761', 'data_crs': '', 'datastore_active': True, 'description': '豊中市の2020年度版データを標準製品仕様書V2に対応させた提供データ目録です。', 'format': 'XLSX', 'hash': '', 'id': '9600ddcd-b83b-4179-b292-c634edf664ad', 'last_modified': '2023-05-11T16:30:29.885094', 'metadata_modified': '2023-03-28T23:00:25.095761', 'metadata_type': '', 'mimetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'mimetype_inner': None, 'name': 'データ目録（v2）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 0, 'resource_type': None, 'selection_type': '', 'size': 15884, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://wscart.geospatial.jp/ckan/dataset/c29b404d-d53d-4156-a771-dc42ef4b241d/resource/9600ddcd-b83b-4179-b292-c634edf664ad/download/27203_toyonaka-shi_catalog.xlsx', 'url_type': 'upload'}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-03-28T23:00:27.086715', 'data_crs': '', 'datastore_active': False, 'description': '2020年度版データを標準製品仕様書V2に対応させたCityGML形式のデータです。\r\n\r\n次のデータが格納されています。\r\n\r\n- コードリスト（XML形式）\r\n- メタデータ（XML形式）\r\n- GMLSchema（XML形式）\r\n- 拡張製品仕様書（PDF形式）\r\n- 索引図（PDF形式）\r\n- 3D都市モデル（CityGML形式）\r\n - 建築物モデル\r\n - 都市計画決定情報モデル\r\n - 道路モデル\r\n - 土地利用モデル\r\n - 地形モデル\r\n - 洪水浸水想定区域モデル\r\n - 津波浸水想定モデル\r\n - 高潮浸水想定区域モデル\r\n - 土砂災害警戒区域モデル\r\n\r\nファイルサイズは約0.6GBです。', 'format': 'ZIP', 'hash': '', 'id': '2b40d5cf-27b4-4765-95a5-4a479d265ddd', 'last_modified': None, 'metadata_modified': '2023-03-28T23:00:27.086715', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'CityGML（v2）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 1, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://assets.cms.plateau.reearth.io/assets/41/3eb23d-cea4-4ec5-8f1c-32f3746e72ea/27203_toyonaka-shi_2020_citygml_4_op.zip', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-03-28T23:00:27.928954', 'data_crs': '', 'datastore_active': False, 'description': '2020年度版データを標準製品仕様書V2に対応させた3D Tiles形式及びMVT形式のデータです。\r\n\r\n次のデータが格納されています。\r\n\r\n- 3D都市モデル\r\n - LOD1建築物モデル（3DTiles形式）\r\n - LOD2建築物モデル（3DTiles形式）\r\n - 都市計画決定情報モデル（MVT形式）\r\n - LOD1道路モデル（MVT形式）\r\n - 土地利用モデル（MVT形式）\r\n - 洪水浸水想定区域モデル（3DTiles形式）\r\n - 津波浸水想定モデル（3DTiles形式）\r\n - 高潮浸水想定区域モデル（3DTiles形式）\r\n - 土砂災害警戒区域モデル（MVT形式）\t\r\n\r\nファイルサイズは約1.3GBです。', 'format': 'ZIP', 'hash': '', 'id': '50bbd270-321d-4528-8141-f965bdddf328', 'last_modified': None, 'metadata_modified': '2023-03-28T23:00:27.928954', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': '3D Tiles, MVT（v2）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 2, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://assets.cms.plateau.reearth.io/assets/20/2f61f1-79a5-4c04-a792-3e646ec0245a/27203_toyonaka-shi_2020_3dtiles-mvt_4_op.zip', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-04-08T09:58:17.569807', 'data_crs': '', 'datastore_active': False, 'description': '3D都市モデル（v2)のための関連データセットです。次の項目が格納されています。\r\n\r\n- 避難施設情報(GeoJson)\r\n- ランドマーク情報(GeoJson)\r\n- 鉄道駅情報(GeoJson)\r\n- 緊急輸送道路情報(GeoJson)\r\n- 鉄道情報(GeoJson)\r\n- 公園情報(GeoJson)\r\n- 行政界情報(GeoJson)', 'format': 'ZIP', 'hash': '', 'id': '49839953-418d-48c1-8a10-6cc97ddb6655', 'last_modified': '2023-04-08T09:58:17.439727', 'metadata_modified': '2023-04-08T09:58:17.569807', 'metadata_type': '', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': '関連データセット(v2)', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 3, 'resource_type': None, 'selection_type': '', 'size': 36629, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://wscart.geospatial.jp/ckan/dataset/c29b404d-d53d-4156-a771-dc42ef4b241d/resource/49839953-418d-48c1-8a10-6cc97ddb6655/download/27203_toyonaka-shi_2020_other_1_op.zip', 'url_type': 'upload'}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-05-11T16:28:49.751306', 'data_crs': '', 'datastore_active': False, 'description': '本データは、2022年度Project PLATEAUユースケース開発「3D都市モデルの更新優先度マップ」で作成したデータです。\r\n\r\n今回開発した更新優先度を判定するアルゴリズムでは、3D都市モデル作成の元データとなる航空写真と撮影頻度が高い衛星画像の間で建築物の変化をAIで判定し、地域メッシュごとに評価することで、3D都市モデルの更新優先度の判別を可能としています。\r\n\r\n本データは、大阪府豊中市エリアのASNARO-1衛星画像を加工したALOS-3衛星（先進光学衛星/だいち3号）のシミュレーション画像をXYZ Tiles形式で出力したものです。\r\n\r\n\r\n※本データは国土交通省都市局が開発した実証システムを利用したサンプルデータです。実際の地方公共団体における計画や取組みとは異なる点にご留意ください。\r\n\r\n\r\nデータ時点：2022年6月\r\n\r\n出典：国土交通省\r\n\r\nデータ編集：株式会社パスコ\r\n\r\nURL：https://www.mlit.go.jp/plateau/use-case/uc22-007/\r\n\r\nファイルサイズは約0.62GBです。\r\n', 'format': 'ZIP', 'hash': '', 'id': '4c8b4f4e-4715-4c6a-9c13-b74568a09465', 'last_modified': None, 'metadata_modified': '2023-05-11T16:28:49.751306', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'ユースケースデータ（V2）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 4, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://assets.cms.plateau.reearth.io/assets/59/34089f-d25d-487f-bff2-ed4f726770c9/27203_toyonaka-shi-UC22-007.zip', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-07-27T12:20:56.065952', 'data_crs': '', 'datastore_active': True, 'description': '豊中市の提供データ目録です。', 'format': 'XLSX', 'hash': '', 'id': '38230990-5504-4008-8e1f-1a3430b8a0c1', 'last_modified': '2022-03-31T16:59:35.373531', 'metadata_modified': '2021-07-27T12:20:56.065952', 'metadata_type': '', 'mimetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'mimetype_inner': None, 'name': 'データ目録', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 5, 'resource_type': None, 'selection_type': '', 'size': 21385, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://wscart.geospatial.jp/ckan/dataset/c29b404d-d53d-4156-a771-dc42ef4b241d/resource/38230990-5504-4008-8e1f-1a3430b8a0c1/download/27203_toyonaka-shi_2020catalog.xlsx', 'url_type': 'upload'}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-07-28T04:38:17.003847', 'data_crs': '', 'datastore_active': False, 'description': 'CityGML形式のデータで、次のデータが格納されています。\r\n\r\n* 建築物\r\n* 区域区分\r\n* 道路\r\n* 土地利用\r\n* 地形\r\n* 洪水浸水想定区域（国管理、県管理）\r\n* 土砂災害警戒区域\r\n* 津波浸水想定区域\r\n* 高潮浸水想定区域\r\n* 製品仕様書（PDF形式）\r\n* コードインデックス（XML形式）\r\n* メッシュ図郭（PDF形式）\r\n* メタデータ（XML形式）\r\n\r\nファイルサイズは約604MBです。\r\n\r\n※2021年9月18日\u3000i-UR1.4は、名前空間及びXMLSchemaファイルの所在が変更されたことに伴い、i-UR1.5に改定されています。\r\n[(https://www.chisou.go.jp/tiiki/toshisaisei/itoshisaisei/iur)](https://www.chisou.go.jp/tiiki/toshisaisei/itoshisaisei/iur)\r\n\r\n各ファイルにおけるこれらの記述は、改定前の記述となっていますのでご注意ください。\r\n\r\n**更新情報**\r\n\r\n2021年8月7日\u3000CityGMLのディレクトリを修正しました。\r\n\r\n2022年3月31日\u3000CityGMLのディレクトリを修正しました。', 'format': 'ZIP', 'hash': '', 'id': '25973afa-4fc8-4d4c-a3a6-f8b2b8efebec', 'last_modified': None, 'metadata_modified': '2021-07-28T04:38:17.003847', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'CityGML', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 6, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://gic-plateau.s3.ap-northeast-1.amazonaws.com/2020/27203_toyonaka-shi_2020_citygml_3_op.zip', 'url_type': ''}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-07-29T19:47:54.008067', 'data_crs': '', 'datastore_active': False, 'description': '3D Tiles形式は、次の項目が格納されています。\r\n\r\n* 建物モデル\r\n* 洪水浸水想定区域（国管理、県管理）\r\n* 津波浸水想定区域\r\n\r\nGeoJson形式は、次の項目が格納されています。\r\n\r\n* 鉄道\r\n* 公園\r\n* 緊急輸送道路\r\n\r\nMVT形式は、次の項目が格納されています。\r\n\r\n* 道路\r\n* 公園\r\n* 区域区分\r\n* 土地利用\r\n* 土砂災害警戒区域\r\n\r\nShape形式は、次の項目が格納されています。\r\n\r\n* ランドマーク\r\n\r\nファイルサイズは約352MBです。\r\n\r\n** 更新情報 **\r\n\r\n2022年3月31日\u3000MVTを追加しました。', 'format': 'ZIP', 'hash': '', 'id': 'c017c910-6c82-4f35-941d-b7fb14449226', 'last_modified': None, 'metadata_modified': '2021-07-29T19:47:54.008067', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': '3D Tiles, GeoJson, MVT, Shape', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 7, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://gic-plateau.s3.ap-northeast-1.amazonaws.com/2020/27203_toyonaka-shi_2020_3Dtiles_etc_1_op.zip', 'url_type': ''}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-09-11T05:55:39.607681', 'data_crs': '', 'datastore_active': False, 'description': 'FGDB形式のデータで、次のデータが格納されています。\r\n\r\n* 建築物\r\n* 区域区分\r\n* 道路\r\n* 土地利用\r\n* 地形\r\n\r\nファイルサイズは約851MB（解凍後22.5GB）です。\r\n\r\n詳しくは[こちら](https://3d-city-model.esrij.com/documents/ej::3d%E9%83%BD%E5%B8%82%E3%83%A2%E3%83%87%E3%83%AB%EF%BC%88project-plateau%EF%BC%89%E8%B1%8A%E4%B8%AD%E5%B8%82-%E3%83%95%E3%82%A1%E3%82%A4%E3%83%AB-%E3%82%B8%E3%82%AA%E3%83%87%E3%83%BC%E3%82%BF%E3%83%99%E3%83%BC%E3%82%B9/about)', 'format': '7z', 'hash': '', 'id': 'b9a4b3d4-236d-49b0-be50-e469033bc51d', 'last_modified': None, 'metadata_modified': '2021-09-11T05:55:39.607681', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'ファイルジオデータベース', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 8, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://3d-city-model-ej-fgdbs.s3.ap-northeast-1.amazonaws.com/27203_toyonaka-shi_2020/27203_toyonaka-shi_fgdb.7z', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-09-11T05:57:38.664803', 'data_crs': '', 'datastore_active': False, 'description': 'FGDB形式のデータで、次のデータが格納されています。\r\n\r\n* 洪水浸水想定区域（国管理、府管理）\r\n* 土砂災害警戒区域\r\n* 津波浸水想定区域\r\n\r\n※ 高潮浸水想定区域は、拡張仕様のため含まれていません。\r\n\r\nファイルサイズは約268MB（解凍後9.5GB）です。\r\n\r\n詳しくは[こちら](https://3d-city-model.esrij.com/documents/ej::3d%E9%83%BD%E5%B8%82%E3%83%A2%E3%83%87%E3%83%AB%EF%BC%88project-plateau%EF%BC%89%E8%B1%8A%E4%B8%AD%E5%B8%82-%E3%83%95%E3%82%A1%E3%82%A4%E3%83%AB-%E3%82%B8%E3%82%AA%E3%83%87%E3%83%BC%E3%82%BF%E3%83%99%E3%83%BC%E3%82%B9%EF%BC%88%E9%98%B2%E7%81%BD%EF%BC%89/about)\r\n', 'format': '7z', 'hash': '', 'id': 'c4c1a501-d398-4e62-a2a8-b0548d78739e', 'last_modified': None, 'metadata_modified': '2021-09-11T05:57:38.664803', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'ファイルジオデータベース（防災）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 9, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://3d-city-model-ej-fgdbs.s3.ap-northeast-1.amazonaws.com/27203_toyonaka-shi_2020/27203_toyonaka-shi_saigai_fgdb.7z', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-11-15T12:16:56.961023', 'data_crs': '', 'datastore_active': False, 'description': 'オルソ写真データです。\r\n\r\n範囲：[図郭割図](https://gic-plateau.s3.ap-northeast-1.amazonaws.com/2020/ortho/07203_kooriyama-shi_ortho.pdf)\r\n\r\n撮影時期：2019年\r\n\r\n座標参照系：平面直角座標系 第6系（6674）\r\n\r\n解像度：40cm\r\n\r\n作成者：国際航業株式会社\r\n\r\n要約：本画像データは、豊中市において2019年に撮影された航空写真（解像度10cm）を、オープンデータ用に加工したものです。\r\n3D都市モデルに含まれる地形データに重ね合わせて利用することができます。\r\n\r\n\r\nファイルサイズは約711MBです。\r\n\r\n** 更新情報 **\r\n\r\n2022年3月31日\u3000GeoTIFFのディレクトリを修正しました。', 'format': '7z', 'hash': '', 'id': '1650d5a6-3b87-4231-aef2-ae89e192171f', 'last_modified': None, 'metadata_modified': '2021-11-15T12:16:56.961023', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'GeoTIFF', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 10, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://gic-plateau.s3.ap-northeast-1.amazonaws.com/2020/ortho/27203_toyonaka-shi_2020_ortho_3_op.zip', 'url_type': ''}], 'tags': [{'display_name': '3Dモデル', 'id': '41e1f54a-63d2-4818-a2e2-389960c0659a', 'name': '3Dモデル', 'state': 'active', 'vocabulary_id': None}, {'display_name': '3D都市モデル', 'id': 'f41580a2-2735-4536-8e81-0a40588d756a', 'name': '3D都市モデル', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'CityGML', 'id': '1046295b-2767-41eb-a878-503318e0742a', 'name': 'CityGML', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'DX', 'id': 'd16a8741-c9ef-4ce1-a684-8459fd7c7aec', 'name': 'DX', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'LOD1', 'id': '3061086e-64ad-4085-adab-f9ea8c29784a', 'name': 'LOD1', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'LOD2', 'id': 'e1c8c97d-0225-408a-9c0d-a1cbd787500e', 'name': 'LOD2', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'PLATEAU', 'id': '48ec7b08-3531-41ca-bfc7-74107bfdf56a', 'name': 'PLATEAU', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'まちづくり', 'id': 'b98c9c33-5e19-4fbb-a358-3859b28099fa', 'name': 'まちづくり', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'シミュレーション', 'id': 'dfe88a02-e190-44be-8a63-400ce2f967b5', 'name': 'シミュレーション', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'デジタルトランスフォーメーション', 'id': 'd932cd2b-5acc-4ff7-b079-004584233300', 'name': 'デジタルトランスフォーメーション', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'マップ', 'id': '545df619-24b7-437a-8ec7-4bbadc13d0e5', 'name': 'マップ', 'state': 'active', 'vocabulary_id': None}, {'display_name': '人流', 'id': '2619c885-997f-476f-8597-293fc5027490', 'name': '人流', 'state': 'active', 'vocabulary_id': None}, {'display_name': '国交DPF', 'id': 'e3bf5d1b-c9c5-4d38-9583-876d7b1f0822', 'name': '国交DPF', 'state': 'active', 'vocabulary_id': None}, {'display_name': '豊中市', 'id': '8ec0c91e-183f-4f24-a858-acda8c7cd063', 'name': '豊中市', 'state': 'active', 'vocabulary_id': None}, {'display_name': '都市計画', 'id': '993e30c6-410e-4f0b-a43c-a7d5dec4e88d', 'name': '都市計画', 'state': 'active', 'vocabulary_id': None}, {'display_name': '防災', 'id': '62150668-8c42-48c2-a0f5-045ebdbcfe8f', 'name': '防災', 'state': 'active', 'vocabulary_id': None}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| truncate | Undefined |
| truncate_title | Undefined |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| organizations | Undefined |
| packages | [{'area': '大阪府,大阪府_豊中市', 'author': '国土交通省都市局都市政策課', 'author_email': 'hqt-mlit-plateau@mlit.go.jp', 'charge': '無償', 'creator_user_id': 'a45422db-0fc5-455c-882e-4ad6512d9f7e', 'emergency': '無償提供', 'fee': '', 'id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'isopen': True, 'license_agreement': 'Project PLATEAUのサイトポリシーに従って、どなたでも、複製、公衆送信、翻訳・変形等の翻案等、自由に利用できます。商用利用も可能です。（https://www.mlit.go.jp/plateau/site-policy/）', 'license_id': 'plateau', 'license_title': 'PLATEAU Site Policy 「３．著作権について」に拠る', 'license_url': 'https://www.mlit.go.jp/plateau/site-policy/', 'maintainer': '国土交通省都市局都市政策課', 'maintainer_email': 'hqt-mlit-plateau@mlit.go.jp', 'metadata_created': '2021-07-27T12:20:27.169685', 'metadata_modified': '2024-10-04T03:09:21.008981', 'name': 'plateau-27203-toyonaka-shi-2020', 'notes': '航空測量等に基づき取得したデータから建物等の地物を3次元で生成した3D都市モデルです。\r\n商用利用も含め、どなたでも無償で自由にご利用いただけます。\r\n\r\n**特徴**\r\n\r\n3D都市モデルとは、都市空間に存在する建物や街路といったオブジェクトに名称や用途、建設年といった都市活動情報を付与することで、都市空間そのものを再現する3D都市空間情報プラットフォームです。\r\n\r\n様々な都市活動データが3D都市モデルに統合され、フィジカル空間とサイバー空間の高度な融合が実現します。これにより、都市計画立案の高度化や、都市活動のシミュレーション、分析等を行うことが可能となります。\r\n\r\n**仕様**\r\n\r\n提供エリア：\r\n\r\nLOD1作成範囲\u300036.38k㎡\r\n\r\nLOD2作成範囲\u30002.02k㎡\r\n\r\nエリア単位：\r\n\r\n建物\u3000地域基準メッシュ（第3次地域区画、一辺の長さ約1km)\r\n\r\n建物以外\u3000第二次地域区画（総合地域メッシュ、一辺の長さ約10㎞）\r\n\r\nデータ形式：CityGML2.0形式、3DTiles形式、2DShape形式、GeoJSON形式\r\n\r\n**更新情報**\r\n\r\n2021年8月7日\u3000CityGMLを更新しました。\r\n\r\n2021年9月11日\u3000ファイルジオデータベースを追加しました。\r\n\r\n2022年3月31日\u3000CityGML, 3D Tiles, GeoTIFFを更新しました。\r\n\r\n2023年4月6日\u3000製品仕様書V2に対応したデータを追加しました。\r\n\r\n2023年4月8日\u3000関連データセット（V2）を追加しました。\r\n\r\n2023年5月12日\u3000ユースケースデータ（V2）を追加しました。\r\n\r\n**データのバージョンについて**\r\n \r\nデータ名の最後にカッコ書きの記載がないデータは製品仕様書V1に準拠したデータ、”(v[数字])”の記載があるデータは製品仕様書V[数字]に準拠したデータです。\r\n \r\n最新版データは、V2です。', 'num_resources': 11, 'num_tags': 16, 'organization': {'id': 'a14894e9-b06d-411f-83a3-3c83d9615719', 'name': 'toshi', 'title': '都市局', 'type': 'organization', 'description': '国土交通省\u3000都市局', 'image_url': '', 'created': '2018-01-27T05:37:54.542795', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'a14894e9-b06d-411f-83a3-3c83d9615719', 'private': False, 'quality': '製品仕様書による（地図情報レベル2500相当）', 'registerd_date': '', 'restriction': '利用規約による', 'spatial': '{"type":"Polygon","coordinates":[[[135.44099472,34.73069556],[135.44099472,34.82488389],[135.50829361,34.82488389],[135.50829361,34.73069556],[135.44099472,34.73069556]]]}', 'state': 'active', 'thumbnail_url': 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', 'title': '3D都市モデル（Project PLATEAU）豊中市（2020年度）', 'type': 'dataset', 'url': 'https://www.mlit.go.jp/plateau/', 'version': '1.0.0', 'resources': [{'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-03-28T23:00:25.095761', 'data_crs': '', 'datastore_active': True, 'description': '豊中市の2020年度版データを標準製品仕様書V2に対応させた提供データ目録です。', 'format': 'XLSX', 'hash': '', 'id': '9600ddcd-b83b-4179-b292-c634edf664ad', 'last_modified': '2023-05-11T16:30:29.885094', 'metadata_modified': '2023-03-28T23:00:25.095761', 'metadata_type': '', 'mimetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'mimetype_inner': None, 'name': 'データ目録（v2）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 0, 'resource_type': None, 'selection_type': '', 'size': 15884, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://wscart.geospatial.jp/ckan/dataset/c29b404d-d53d-4156-a771-dc42ef4b241d/resource/9600ddcd-b83b-4179-b292-c634edf664ad/download/27203_toyonaka-shi_catalog.xlsx', 'url_type': 'upload'}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-03-28T23:00:27.086715', 'data_crs': '', 'datastore_active': False, 'description': '2020年度版データを標準製品仕様書V2に対応させたCityGML形式のデータです。\r\n\r\n次のデータが格納されています。\r\n\r\n- コードリスト（XML形式）\r\n- メタデータ（XML形式）\r\n- GMLSchema（XML形式）\r\n- 拡張製品仕様書（PDF形式）\r\n- 索引図（PDF形式）\r\n- 3D都市モデル（CityGML形式）\r\n - 建築物モデル\r\n - 都市計画決定情報モデル\r\n - 道路モデル\r\n - 土地利用モデル\r\n - 地形モデル\r\n - 洪水浸水想定区域モデル\r\n - 津波浸水想定モデル\r\n - 高潮浸水想定区域モデル\r\n - 土砂災害警戒区域モデル\r\n\r\nファイルサイズは約0.6GBです。', 'format': 'ZIP', 'hash': '', 'id': '2b40d5cf-27b4-4765-95a5-4a479d265ddd', 'last_modified': None, 'metadata_modified': '2023-03-28T23:00:27.086715', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'CityGML（v2）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 1, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://assets.cms.plateau.reearth.io/assets/41/3eb23d-cea4-4ec5-8f1c-32f3746e72ea/27203_toyonaka-shi_2020_citygml_4_op.zip', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-03-28T23:00:27.928954', 'data_crs': '', 'datastore_active': False, 'description': '2020年度版データを標準製品仕様書V2に対応させた3D Tiles形式及びMVT形式のデータです。\r\n\r\n次のデータが格納されています。\r\n\r\n- 3D都市モデル\r\n - LOD1建築物モデル（3DTiles形式）\r\n - LOD2建築物モデル（3DTiles形式）\r\n - 都市計画決定情報モデル（MVT形式）\r\n - LOD1道路モデル（MVT形式）\r\n - 土地利用モデル（MVT形式）\r\n - 洪水浸水想定区域モデル（3DTiles形式）\r\n - 津波浸水想定モデル（3DTiles形式）\r\n - 高潮浸水想定区域モデル（3DTiles形式）\r\n - 土砂災害警戒区域モデル（MVT形式）\t\r\n\r\nファイルサイズは約1.3GBです。', 'format': 'ZIP', 'hash': '', 'id': '50bbd270-321d-4528-8141-f965bdddf328', 'last_modified': None, 'metadata_modified': '2023-03-28T23:00:27.928954', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': '3D Tiles, MVT（v2）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 2, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://assets.cms.plateau.reearth.io/assets/20/2f61f1-79a5-4c04-a792-3e646ec0245a/27203_toyonaka-shi_2020_3dtiles-mvt_4_op.zip', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-04-08T09:58:17.569807', 'data_crs': '', 'datastore_active': False, 'description': '3D都市モデル（v2)のための関連データセットです。次の項目が格納されています。\r\n\r\n- 避難施設情報(GeoJson)\r\n- ランドマーク情報(GeoJson)\r\n- 鉄道駅情報(GeoJson)\r\n- 緊急輸送道路情報(GeoJson)\r\n- 鉄道情報(GeoJson)\r\n- 公園情報(GeoJson)\r\n- 行政界情報(GeoJson)', 'format': 'ZIP', 'hash': '', 'id': '49839953-418d-48c1-8a10-6cc97ddb6655', 'last_modified': '2023-04-08T09:58:17.439727', 'metadata_modified': '2023-04-08T09:58:17.569807', 'metadata_type': '', 'mimetype': 'application/zip', 'mimetype_inner': None, 'name': '関連データセット(v2)', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 3, 'resource_type': None, 'selection_type': '', 'size': 36629, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://wscart.geospatial.jp/ckan/dataset/c29b404d-d53d-4156-a771-dc42ef4b241d/resource/49839953-418d-48c1-8a10-6cc97ddb6655/download/27203_toyonaka-shi_2020_other_1_op.zip', 'url_type': 'upload'}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2023-05-11T16:28:49.751306', 'data_crs': '', 'datastore_active': False, 'description': '本データは、2022年度Project PLATEAUユースケース開発「3D都市モデルの更新優先度マップ」で作成したデータです。\r\n\r\n今回開発した更新優先度を判定するアルゴリズムでは、3D都市モデル作成の元データとなる航空写真と撮影頻度が高い衛星画像の間で建築物の変化をAIで判定し、地域メッシュごとに評価することで、3D都市モデルの更新優先度の判別を可能としています。\r\n\r\n本データは、大阪府豊中市エリアのASNARO-1衛星画像を加工したALOS-3衛星（先進光学衛星/だいち3号）のシミュレーション画像をXYZ Tiles形式で出力したものです。\r\n\r\n\r\n※本データは国土交通省都市局が開発した実証システムを利用したサンプルデータです。実際の地方公共団体における計画や取組みとは異なる点にご留意ください。\r\n\r\n\r\nデータ時点：2022年6月\r\n\r\n出典：国土交通省\r\n\r\nデータ編集：株式会社パスコ\r\n\r\nURL：https://www.mlit.go.jp/plateau/use-case/uc22-007/\r\n\r\nファイルサイズは約0.62GBです。\r\n', 'format': 'ZIP', 'hash': '', 'id': '4c8b4f4e-4715-4c6a-9c13-b74568a09465', 'last_modified': None, 'metadata_modified': '2023-05-11T16:28:49.751306', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'ユースケースデータ（V2）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 4, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://assets.cms.plateau.reearth.io/assets/59/34089f-d25d-487f-bff2-ed4f726770c9/27203_toyonaka-shi-UC22-007.zip', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-07-27T12:20:56.065952', 'data_crs': '', 'datastore_active': True, 'description': '豊中市の提供データ目録です。', 'format': 'XLSX', 'hash': '', 'id': '38230990-5504-4008-8e1f-1a3430b8a0c1', 'last_modified': '2022-03-31T16:59:35.373531', 'metadata_modified': '2021-07-27T12:20:56.065952', 'metadata_type': '', 'mimetype': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet', 'mimetype_inner': None, 'name': 'データ目録', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 5, 'resource_type': None, 'selection_type': '', 'size': 21385, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://wscart.geospatial.jp/ckan/dataset/c29b404d-d53d-4156-a771-dc42ef4b241d/resource/38230990-5504-4008-8e1f-1a3430b8a0c1/download/27203_toyonaka-shi_2020catalog.xlsx', 'url_type': 'upload'}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-07-28T04:38:17.003847', 'data_crs': '', 'datastore_active': False, 'description': 'CityGML形式のデータで、次のデータが格納されています。\r\n\r\n* 建築物\r\n* 区域区分\r\n* 道路\r\n* 土地利用\r\n* 地形\r\n* 洪水浸水想定区域（国管理、県管理）\r\n* 土砂災害警戒区域\r\n* 津波浸水想定区域\r\n* 高潮浸水想定区域\r\n* 製品仕様書（PDF形式）\r\n* コードインデックス（XML形式）\r\n* メッシュ図郭（PDF形式）\r\n* メタデータ（XML形式）\r\n\r\nファイルサイズは約604MBです。\r\n\r\n※2021年9月18日\u3000i-UR1.4は、名前空間及びXMLSchemaファイルの所在が変更されたことに伴い、i-UR1.5に改定されています。\r\n[(https://www.chisou.go.jp/tiiki/toshisaisei/itoshisaisei/iur)](https://www.chisou.go.jp/tiiki/toshisaisei/itoshisaisei/iur)\r\n\r\n各ファイルにおけるこれらの記述は、改定前の記述となっていますのでご注意ください。\r\n\r\n**更新情報**\r\n\r\n2021年8月7日\u3000CityGMLのディレクトリを修正しました。\r\n\r\n2022年3月31日\u3000CityGMLのディレクトリを修正しました。', 'format': 'ZIP', 'hash': '', 'id': '25973afa-4fc8-4d4c-a3a6-f8b2b8efebec', 'last_modified': None, 'metadata_modified': '2021-07-28T04:38:17.003847', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'CityGML', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 6, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://gic-plateau.s3.ap-northeast-1.amazonaws.com/2020/27203_toyonaka-shi_2020_citygml_3_op.zip', 'url_type': ''}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-07-29T19:47:54.008067', 'data_crs': '', 'datastore_active': False, 'description': '3D Tiles形式は、次の項目が格納されています。\r\n\r\n* 建物モデル\r\n* 洪水浸水想定区域（国管理、県管理）\r\n* 津波浸水想定区域\r\n\r\nGeoJson形式は、次の項目が格納されています。\r\n\r\n* 鉄道\r\n* 公園\r\n* 緊急輸送道路\r\n\r\nMVT形式は、次の項目が格納されています。\r\n\r\n* 道路\r\n* 公園\r\n* 区域区分\r\n* 土地利用\r\n* 土砂災害警戒区域\r\n\r\nShape形式は、次の項目が格納されています。\r\n\r\n* ランドマーク\r\n\r\nファイルサイズは約352MBです。\r\n\r\n** 更新情報 **\r\n\r\n2022年3月31日\u3000MVTを追加しました。', 'format': 'ZIP', 'hash': '', 'id': 'c017c910-6c82-4f35-941d-b7fb14449226', 'last_modified': None, 'metadata_modified': '2021-07-29T19:47:54.008067', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': '3D Tiles, GeoJson, MVT, Shape', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 7, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://gic-plateau.s3.ap-northeast-1.amazonaws.com/2020/27203_toyonaka-shi_2020_3Dtiles_etc_1_op.zip', 'url_type': ''}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-09-11T05:55:39.607681', 'data_crs': '', 'datastore_active': False, 'description': 'FGDB形式のデータで、次のデータが格納されています。\r\n\r\n* 建築物\r\n* 区域区分\r\n* 道路\r\n* 土地利用\r\n* 地形\r\n\r\nファイルサイズは約851MB（解凍後22.5GB）です。\r\n\r\n詳しくは[こちら](https://3d-city-model.esrij.com/documents/ej::3d%E9%83%BD%E5%B8%82%E3%83%A2%E3%83%87%E3%83%AB%EF%BC%88project-plateau%EF%BC%89%E8%B1%8A%E4%B8%AD%E5%B8%82-%E3%83%95%E3%82%A1%E3%82%A4%E3%83%AB-%E3%82%B8%E3%82%AA%E3%83%87%E3%83%BC%E3%82%BF%E3%83%99%E3%83%BC%E3%82%B9/about)', 'format': '7z', 'hash': '', 'id': 'b9a4b3d4-236d-49b0-be50-e469033bc51d', 'last_modified': None, 'metadata_modified': '2021-09-11T05:55:39.607681', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'ファイルジオデータベース', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 8, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://3d-city-model-ej-fgdbs.s3.ap-northeast-1.amazonaws.com/27203_toyonaka-shi_2020/27203_toyonaka-shi_fgdb.7z', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-09-11T05:57:38.664803', 'data_crs': '', 'datastore_active': False, 'description': 'FGDB形式のデータで、次のデータが格納されています。\r\n\r\n* 洪水浸水想定区域（国管理、府管理）\r\n* 土砂災害警戒区域\r\n* 津波浸水想定区域\r\n\r\n※ 高潮浸水想定区域は、拡張仕様のため含まれていません。\r\n\r\nファイルサイズは約268MB（解凍後9.5GB）です。\r\n\r\n詳しくは[こちら](https://3d-city-model.esrij.com/documents/ej::3d%E9%83%BD%E5%B8%82%E3%83%A2%E3%83%87%E3%83%AB%EF%BC%88project-plateau%EF%BC%89%E8%B1%8A%E4%B8%AD%E5%B8%82-%E3%83%95%E3%82%A1%E3%82%A4%E3%83%AB-%E3%82%B8%E3%82%AA%E3%83%87%E3%83%BC%E3%82%BF%E3%83%99%E3%83%BC%E3%82%B9%EF%BC%88%E9%98%B2%E7%81%BD%EF%BC%89/about)\r\n', 'format': '7z', 'hash': '', 'id': 'c4c1a501-d398-4e62-a2a8-b0548d78739e', 'last_modified': None, 'metadata_modified': '2021-09-11T05:57:38.664803', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'ファイルジオデータベース（防災）', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 9, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://3d-city-model-ej-fgdbs.s3.ap-northeast-1.amazonaws.com/27203_toyonaka-shi_2020/27203_toyonaka-shi_saigai_fgdb.7z', 'url_type': None}, {'acknowledgement': '', 'cache_last_updated': None, 'cache_url': None, 'created': '2021-11-15T12:16:56.961023', 'data_crs': '', 'datastore_active': False, 'description': 'オルソ写真データです。\r\n\r\n範囲：[図郭割図](https://gic-plateau.s3.ap-northeast-1.amazonaws.com/2020/ortho/07203_kooriyama-shi_ortho.pdf)\r\n\r\n撮影時期：2019年\r\n\r\n座標参照系：平面直角座標系 第6系（6674）\r\n\r\n解像度：40cm\r\n\r\n作成者：国際航業株式会社\r\n\r\n要約：本画像データは、豊中市において2019年に撮影された航空写真（解像度10cm）を、オープンデータ用に加工したものです。\r\n3D都市モデルに含まれる地形データに重ね合わせて利用することができます。\r\n\r\n\r\nファイルサイズは約711MBです。\r\n\r\n** 更新情報 **\r\n\r\n2022年3月31日\u3000GeoTIFFのディレクトリを修正しました。', 'format': '7z', 'hash': '', 'id': '1650d5a6-3b87-4231-aef2-ae89e192171f', 'last_modified': None, 'metadata_modified': '2021-11-15T12:16:56.961023', 'metadata_type': '', 'mimetype': None, 'mimetype_inner': None, 'name': 'GeoTIFF', 'package_id': 'c29b404d-d53d-4156-a771-dc42ef4b241d', 'position': 10, 'resource_type': None, 'selection_type': '', 'size': None, 'standard_price': '', 'state': 'active', 'tos': '', 'url': 'https://gic-plateau.s3.ap-northeast-1.amazonaws.com/2020/ortho/27203_toyonaka-shi_2020_ortho_3_op.zip', 'url_type': ''}], 'tags': [{'display_name': '3Dモデル', 'id': '41e1f54a-63d2-4818-a2e2-389960c0659a', 'name': '3Dモデル', 'state': 'active', 'vocabulary_id': None}, {'display_name': '3D都市モデル', 'id': 'f41580a2-2735-4536-8e81-0a40588d756a', 'name': '3D都市モデル', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'CityGML', 'id': '1046295b-2767-41eb-a878-503318e0742a', 'name': 'CityGML', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'DX', 'id': 'd16a8741-c9ef-4ce1-a684-8459fd7c7aec', 'name': 'DX', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'LOD1', 'id': '3061086e-64ad-4085-adab-f9ea8c29784a', 'name': 'LOD1', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'LOD2', 'id': 'e1c8c97d-0225-408a-9c0d-a1cbd787500e', 'name': 'LOD2', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'PLATEAU', 'id': '48ec7b08-3531-41ca-bfc7-74107bfdf56a', 'name': 'PLATEAU', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'まちづくり', 'id': 'b98c9c33-5e19-4fbb-a358-3859b28099fa', 'name': 'まちづくり', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'シミュレーション', 'id': 'dfe88a02-e190-44be-8a63-400ce2f967b5', 'name': 'シミュレーション', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'デジタルトランスフォーメーション', 'id': 'd932cd2b-5acc-4ff7-b079-004584233300', 'name': 'デジタルトランスフォーメーション', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'マップ', 'id': '545df619-24b7-437a-8ec7-4bbadc13d0e5', 'name': 'マップ', 'state': 'active', 'vocabulary_id': None}, {'display_name': '人流', 'id': '2619c885-997f-476f-8597-293fc5027490', 'name': '人流', 'state': 'active', 'vocabulary_id': None}, {'display_name': '国交DPF', 'id': 'e3bf5d1b-c9c5-4d38-9583-876d7b1f0822', 'name': '国交DPF', 'state': 'active', 'vocabulary_id': None}, {'display_name': '豊中市', 'id': '8ec0c91e-183f-4f24-a858-acda8c7cd063', 'name': '豊中市', 'state': 'active', 'vocabulary_id': None}, {'display_name': '都市計画', 'id': '993e30c6-410e-4f0b-a43c-a7d5dec4e88d', 'name': '都市計画', 'state': 'active', 'vocabulary_id': None}, {'display_name': '防災', 'id': '62150668-8c42-48c2-a0f5-045ebdbcfe8f', 'name': '防災', 'state': 'active', 'vocabulary_id': None}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}] |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
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| name | 'area' |
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| title | 'エリア' |
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| name | 'charge' |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| title | '有償区分' |
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|---|---|
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| title | 'カテゴリ' |
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|---|---|
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| name | 'tags' |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| title | 'タグ' |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'res_format' |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| title | 'フォーマット' |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'license_id' |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| title | 'ライセンス' |
| ungettext | <function ungettext at 0x7f65411c9430> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| dataset_type | 'dataset' |
| drill_down_url | <function drill_down_url at 0x7f6539f2c430> |
| facet_titles | OrderedDict([('area', 'エリア'), ('charge', '有償区分'), ('organization', '組織'), ('groups', 'カテゴリ'), ('tags', 'タグ'), ('res_format', 'フォーマット'), ('license_id', 'ライセンス')]) |
| fields | [('res_format', '7z'), ('tags', '豊中市')] |
| fields_grouped | {'res_format': ['7z'], 'tags': ['豊中市']} |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| page | Page: Collection type: <class 'list'> (Current) page: 1 First item: 1 Last item: 1 First page: 1 Last page: 1 Previous page: None Next page: None Items per page: 20 Number of items: 1 Number of pages: 1 |
| q | '' |
| query_error | False |
| remove_field | functools.partial(<function remove_field at 0x7f6539f2c4c0>, 'dataset') |
| request | <Request 'http://wscart.geospatial.jp/dataset/?res_format=7z&tags=豊中市' [GET]> |
| search_facets | {'area': {'title': 'area', 'items': [{'name': '豊中', 'display_name': '豊中', 'count': 1}, {'name': '府', 'display_name': '府', 'count': 1}, {'name': '市', 'display_name': '市', 'count': 1}, {'name': '大阪', 'display_name': '大阪', 'count': 1}]}, 'charge': {'title': 'charge', 'items': [{'name': '無償', 'display_name': '無償', 'count': 1}]}, 'organization': {'title': 'organization', 'items': [{'name': 'toshi', 'display_name': '都市局', 'count': 1}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': '防災', 'display_name': '防災', 'count': 1}, {'name': '都市計画', 'display_name': '都市計画', 'count': 1}, {'name': '豊中市', 'display_name': '豊中市', 'count': 1}, {'name': '国交DPF', 'display_name': '国交DPF', 'count': 1}, {'name': '人流', 'display_name': '人流', 'count': 1}, {'name': 'マップ', 'display_name': 'マップ', 'count': 1}, {'name': 'デジタルトランスフォーメーション', 'display_name': 'デジタルトランスフォーメーション', 'count': 1}, {'name': 'シミュレーション', 'display_name': 'シミュレーション', 'count': 1}, {'name': 'まちづくり', 'display_name': 'まちづくり', 'count': 1}, {'name': 'PLATEAU', 'display_name': 'PLATEAU', 'count': 1}, {'name': 'LOD2', 'display_name': 'LOD2', 'count': 1}, {'name': 'LOD1', 'display_name': 'LOD1', 'count': 1}, {'name': 'DX', 'display_name': 'DX', 'count': 1}, {'name': 'CityGML', 'display_name': 'CityGML', 'count': 1}, {'name': '3D都市モデル', 'display_name': '3D都市モデル', 'count': 1}, {'name': '3Dモデル', 'display_name': '3Dモデル', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'ZIP', 'display_name': 'ZIP', 'count': 1}, {'name': 'XLSX', 'display_name': 'XLSX', 'count': 1}, {'name': '7z', 'display_name': '7z', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': [{'name': 'plateau', 'display_name': 'PLATEAU Site Policy 「３．著作権について」に拠る', 'count': 1}]}} |
| search_url_params | 'res_format=7z&tags=%E8%B1%8A%E4%B8%AD%E5%B8%82' |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1751951238.9049199, '_creation_time': 1751951238.9049199} |
| sort_by | functools.partial(<function _sort_by at 0x7f6539f2c550>, [('res_format', '7z'), ('tags', '豊中市')], 'dataset') |
| sort_by_fields | [] |
| sort_by_selected | 'metadata_modified desc' |
| ungettext | <function ungettext at 0x7f65411c9430> |
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| URL route | Endpoint name | HTTP methods | Is alias | Redirect to |
|---|---|---|---|---|
| / | home.index | GET, HEAD, OPTIONS | False | None |
| /<path:filename> | static | GET, HEAD, OPTIONS | False | None |
| /<text>/autocomplete/crs | gspf_dataset.crs | GET, HEAD, OPTIONS | False | None |
| /about | home.about | GET, HEAD, OPTIONS | False | None |
| /api/ | api.get_api | GET, HEAD, OPTIONS | False | None |
| /api/2/search/<register>/geo | spatial_api.spatial_query | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/i18n/<lang> | api.i18n_js_translations | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/dataset/autocomplete | api.dataset_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/group/autocomplete | api.group_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/organization/autocomplete | api.organization_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/resource/format_autocomplete | api.format_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/snippet/<snippet_path> | api.snippet | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/tag/autocomplete | api.tag_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/user/autocomplete | api.user_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=3):ver> | api.get_api | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=3, max=3):ver>/action/<logic_function> | api.action | GET, HEAD, OPTIONS, POST | False | None |
| /api/action/<logic_function> | api.action | GET, HEAD, OPTIONS, POST | False | None |
| /api/i18n/<lang> | api.i18n_js_translations | GET, HEAD, OPTIONS | False | None |
| /api/util/active_local_governments | gspf_api.rn25_active_local_governments | GET, HEAD, OPTIONS | False | None |
| /api/util/dataset/autocomplete | api.dataset_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/group/autocomplete | api.group_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/organization/autocomplete | api.organization_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/package_popular | gspf_api.package_popular | GET, HEAD, OPTIONS | False | None |
| /api/util/resource/format_autocomplete | api.format_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/snippet/<snippet_path> | api.snippet | GET, HEAD, OPTIONS | False | None |
| /api/util/tag/autocomplete | api.tag_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/user/autocomplete | api.user_autocomplete | GET, HEAD, OPTIONS | False | None |
| /autocomplete/crs | gspf_organization.crs | GET, HEAD, OPTIONS | False | None |
| /autocomplete/localgovernment | gspf_dataset.localgovernment | GET, HEAD, OPTIONS | False | None |
| /cart | gspf_theme.cart | GET, HEAD, OPTIONS | False | None |
| /catalog.<_format> | dcat.read_catalog | GET, HEAD, OPTIONS | False | None |
| /ckan-admin/ | admin.index | GET, HEAD, OPTIONS | False | None |
| /ckan-admin/config | admin.config | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/reset_config | admin.reset_config | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/showcase_admin_remove | showcase_blueprint.admin_remove | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/showcase_admins | showcase_blueprint.admins | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/trash | admin.trash | GET, HEAD, OPTIONS, POST | False | None |
| /ckan/_debug_toolbar/static/<path:filename> | _debug_toolbar.static | GET, HEAD, OPTIONS | False | None |
| /dashboard/ | dashboard.index | GET, HEAD, OPTIONS | False | None |
| /dashboard/<int:offset> | dashboard.index | GET, HEAD, OPTIONS | False | None |
| /dashboard/datasets | dashboard.datasets | GET, HEAD, OPTIONS | False | None |
| /dashboard/groups | dashboard.groups | GET, HEAD, OPTIONS | False | None |
| /dashboard/organizations | dashboard.organizations | GET, HEAD, OPTIONS | False | None |
| /dataset/ | dataset.search | GET, HEAD, OPTIONS | False | None |
| /dataset/<_id>.<_format> | dcat.read_dataset | GET, HEAD, OPTIONS | False | None |
| /dataset/<id> | dataset.read | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/history | dataset.history | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id> | dataset_resource.read | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id> | resource.read | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/agree/ | gspf_dataset.resource_agreement | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/delete | dataset_resource.delete | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/delete | resource.delete | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/download | s3_resource.resource_download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download | dataset_resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download | resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download/<filename> | s3_resource.resource_download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download/<filename> | dataset_resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download/<filename> | resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/edit | dataset_resource.edit | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/edit | resource.edit | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/edit_view/<view_id> | dataset_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/edit_view/<view_id> | resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/embed | dataset_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/embed | resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/fs_download/<filename> | s3_resource.filesystem_resource_download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/new_view | dataset_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/new_view | resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/preview | dataset_resource.datapreview | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/preview | resource.datapreview | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view | dataset_resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view | resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view/<view_id> | dataset_resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view/<view_id> | resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/viewer | dataset_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/viewer | resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/views | dataset_resource.views | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/views | resource.views | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/new | dataset_resource.new | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/new | resource.new | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource_edit/<resource_id> | dataset.EditView | GET, HEAD, OPTIONS | False | None |
| /dataset/activity/<id> | dataset.activity | GET, HEAD, OPTIONS | False | None |
| /dataset/changes/<id> | dataset.changes | GET, HEAD, OPTIONS | False | None |
| /dataset/changes_multiple | dataset.changes_multiple | GET, HEAD, OPTIONS | False | None |
| /dataset/delete/<id> | dataset.delete | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/edit/<id> | dataset.edit | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/follow/<id> | dataset.follow | OPTIONS, POST | False | None |
| /dataset/followers/<id> | dataset.followers | GET, HEAD, OPTIONS | False | None |
| /dataset/groups/<id> | dataset.groups | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/new | dataset.new | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/new_resource/<id> | dataset.CreateView | GET, HEAD, OPTIONS | False | None |
| /dataset/resources/<id> | dataset.resources | GET, HEAD, OPTIONS | False | None |
| /dataset/showcases/<id> | showcase_blueprint.dataset_showcase_list | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/unfollow/<id> | dataset.unfollow | OPTIONS, POST | False | None |
| /dcat.json | dcat_json_interface.dcat_json | GET, HEAD, OPTIONS | False | None |
| /feeds/custom.atom | feeds.custom | GET, HEAD, OPTIONS | False | None |
| /feeds/dataset.atom | feeds.general | GET, HEAD, OPTIONS | False | None |
| /feeds/group/<string:id>.atom | feeds.group | GET, HEAD, OPTIONS | False | None |
| /feeds/organization/<string:id>.atom | feeds.organization | GET, HEAD, OPTIONS | False | None |
| /feeds/tag/<string:id>.atom | feeds.tag | GET, HEAD, OPTIONS | False | None |
| /group/ | group.index | GET, HEAD, OPTIONS | False | None |
| /group/<id> | group.read | GET, HEAD, OPTIONS | False | None |
| /group/about/<id> | group.about | GET, HEAD, OPTIONS | False | None |
| /group/activity/<id> | group.activity | GET, HEAD, OPTIONS, POST | False | None |
| /group/activity/<id>/<int:offset> | group.activity | GET, HEAD, OPTIONS | False | None |
| /group/admins/<id> | group.admins | GET, HEAD, OPTIONS, POST | False | None |
| /group/bulk_process/<id> | group.bulk_process | GET, HEAD, OPTIONS, POST | False | None |
| /group/delete/<id> | group.delete | GET, HEAD, OPTIONS, POST | False | None |
| /group/edit/<id> | group.edit | GET, HEAD, OPTIONS, POST | False | None |
| /group/follow/<id> | group.follow | GET, HEAD, OPTIONS, POST | False | None |
| /group/followers/<id> | group.followers | GET, HEAD, OPTIONS, POST | False | None |
| /group/history/<id> | group.history | GET, HEAD, OPTIONS, POST | False | None |
| /group/member_delete/<id> | group.member_delete | GET, HEAD, OPTIONS, POST | False | None |
| /group/member_new/<id> | group.member_new | GET, HEAD, OPTIONS, POST | False | None |
| /group/members/<id> | group.members | GET, HEAD, OPTIONS, POST | False | None |
| /group/new | group.new | GET, HEAD, OPTIONS, POST | False | None |
| /group/unfollow/<id> | group.unfollow | GET, HEAD, OPTIONS, POST | False | None |
| /ldap_login_handler | ldap.login_handler | OPTIONS, POST | False | None |
| /organization/ | organization.index | GET, HEAD, OPTIONS | False | None |
| /organization/<id> | organization.read | GET, HEAD, OPTIONS | False | None |
| /organization/about/<id> | organization.about | GET, HEAD, OPTIONS | False | None |
| /organization/activity/<id> | organization.activity | GET, HEAD, OPTIONS, POST | False | None |
| /organization/activity/<id>/<int:offset> | organization.activity | GET, HEAD, OPTIONS | False | None |
| /organization/admins/<id> | organization.admins | GET, HEAD, OPTIONS, POST | False | None |
| /organization/bulk_process/<id> | organization.bulk_process | GET, HEAD, OPTIONS, POST | False | None |
| /organization/delete/<id> | organization.delete | GET, HEAD, OPTIONS, POST | False | None |
| /organization/edit/<id> | organization.edit | GET, HEAD, OPTIONS, POST | False | None |
| /organization/follow/<id> | organization.follow | GET, HEAD, OPTIONS, POST | False | None |
| /organization/followers/<id> | organization.followers | GET, HEAD, OPTIONS, POST | False | None |
| /organization/history/<id> | organization.history | GET, HEAD, OPTIONS, POST | False | None |
| /organization/member_delete/<id> | organization.member_delete | GET, HEAD, OPTIONS, POST | False | None |
| /organization/member_new/<id> | organization.member_new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/members/<id> | organization.members | GET, HEAD, OPTIONS, POST | False | None |
| /organization/new | organization.new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/unfollow/<id> | organization.unfollow | GET, HEAD, OPTIONS, POST | False | None |
| /showcase | showcase_blueprint.index | GET, HEAD, OPTIONS | False | None |
| /showcase/ | showcase.search | GET, HEAD, OPTIONS | False | None |
| /showcase/<id> | showcase_blueprint.read | GET, HEAD, OPTIONS | False | None |
| /showcase/<id> | showcase.read | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/history | showcase.history | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/<resource_id> | showcase_resource.read | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/<resource_id>/delete | showcase_resource.delete | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/<id>/resource/<resource_id>/download | showcase_resource.download | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/<resource_id>/download/<filename> | showcase_resource.download | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/<resource_id>/edit | showcase_resource.edit | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/<id>/resource/<resource_id>/edit_view/<view_id> | showcase_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/<id>/resource/<resource_id>/embed | showcase_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/<resource_id>/new_view | showcase_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/<id>/resource/<resource_id>/preview | showcase_resource.datapreview | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/<resource_id>/view | showcase_resource.view | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/<resource_id>/view/<view_id> | showcase_resource.view | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/<resource_id>/viewer | showcase_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/<resource_id>/views | showcase_resource.views | GET, HEAD, OPTIONS | False | None |
| /showcase/<id>/resource/new | showcase_resource.new | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/<id>/resource_edit/<resource_id> | showcase.EditView | GET, HEAD, OPTIONS | False | None |
| /showcase/activity/<id> | showcase.activity | GET, HEAD, OPTIONS | False | None |
| /showcase/changes/<id> | showcase.changes | GET, HEAD, OPTIONS | False | None |
| /showcase/changes_multiple | showcase.changes_multiple | GET, HEAD, OPTIONS | False | None |
| /showcase/delete/<id> | showcase_blueprint.delete | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/delete/<id> | showcase.delete | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/edit/<id> | showcase_blueprint.edit | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/edit/<id> | showcase.edit | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/follow/<id> | showcase.follow | OPTIONS, POST | False | None |
| /showcase/followers/<id> | showcase.followers | GET, HEAD, OPTIONS | False | None |
| /showcase/groups/<id> | showcase.groups | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/manage_datasets/<id> | showcase_blueprint.manage_datasets | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/new | showcase_blueprint.new | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/new | showcase.new | GET, HEAD, OPTIONS, POST | False | None |
| /showcase/new_resource/<id> | showcase.CreateView | GET, HEAD, OPTIONS | False | None |
| /showcase/resources/<id> | showcase.resources | GET, HEAD, OPTIONS | False | None |
| /showcase/unfollow/<id> | showcase.unfollow | OPTIONS, POST | False | None |
| /showcase_upload | showcase_blueprint.upload | OPTIONS, POST | False | None |
| /sitemap-<int:index>.xml | sitemap.view | GET, HEAD, OPTIONS | False | None |
| /sitemap.xml | sitemap.redirect_to_sitemap_index | GET, HEAD, OPTIONS | False | None |
| /sitemap_index.xml | sitemap.view | GET, HEAD, OPTIONS | False | None |
| /stats | stats.index | GET, HEAD, OPTIONS | False | None |
| /testing/primer | util.primer | GET, HEAD, OPTIONS | False | None |
| /tracking/<id>/resource/<resource_id>/tracking | gspf_api.tracking_raw | OPTIONS, POST | False | None |
| /uploads/<upload_to>/<filename> | s3_uploads.uploaded_file_redirect | GET, HEAD, OPTIONS | False | None |
| /user/ | user.index | GET, HEAD, OPTIONS | False | None |
| /user/<id> | user.read | GET, HEAD, OPTIONS | False | None |
| /user/<id>/api-tokens | user.api_tokens | GET, HEAD, OPTIONS, POST | False | None |
| /user/<id>/api-tokens/<jti>/revoke | user.api_token_revoke | OPTIONS, POST | False | None |
| /user/_logout | user.logout | GET, HEAD, OPTIONS | False | None |
| /user/activity/<id> | user.activity | GET, HEAD, OPTIONS | False | None |
| /user/activity/<id>/<int:offset> | user.activity | GET, HEAD, OPTIONS | False | None |
| /user/delete/<id> | user.delete | OPTIONS, POST | False | None |
| /user/edit | user.edit | GET, HEAD, OPTIONS, POST | False | None |
| /user/edit/<id> | user.edit | GET, HEAD, OPTIONS, POST | False | None |
| /user/follow/<id> | user.follow | OPTIONS, POST | False | None |
| /user/followers/<id> | user.followers | GET, HEAD, OPTIONS | False | None |
| /user/generate_key | user.generate_apikey | OPTIONS, POST | False | None |
| /user/generate_key/<id> | user.generate_apikey | OPTIONS, POST | False | None |
| /user/logged_in | user.logged_in | GET, HEAD, OPTIONS | False | None |
| /user/logged_out | user.logged_out | GET, HEAD, OPTIONS | False | None |
| /user/logged_out_redirect | user.logged_out_page | GET, HEAD, OPTIONS | False | None |
| /user/login | user.login | GET, HEAD, OPTIONS | False | None |
| /user/me | user.me | GET, HEAD, OPTIONS | False | None |
| /user/register | user.register | GET, HEAD, OPTIONS, POST | False | None |
| /user/reset | user.request_reset | GET, HEAD, OPTIONS, POST | False | None |
| /user/reset/<id> | user.perform_reset | GET, HEAD, OPTIONS, POST | False | None |
| /user/unfollow/<id> | user.unfollow | OPTIONS, POST | False | None |
| /util/redirect | util.internal_redirect | GET, HEAD, OPTIONS, POST | False | None |
| /webassets/<path:path> | webassets.index | GET, HEAD, OPTIONS | False | None |
| /zh_CN/ | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
| /zh_CN/<path:path> | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
| /zh_TW/ | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
| /zh_TW/<path:path> | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
