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        "author": "Andreas Motl",
        "author_email": "andreas.motl@panodata.org",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Manufacturing",
            "Intended Audience :: Science/Research",
            "Intended Audience :: System Administrators",
            "Intended Audience :: Telecommunications Industry",
            "License :: OSI Approved :: European Union Public Licence 1.2 (EUPL 1.2)",
            "License :: OSI Approved :: GNU Affero General Public License v3",
            "Operating System :: MacOS",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Communications",
            "Topic :: Database",
            "Topic :: Internet",
            "Topic :: Internet :: WWW/HTTP :: Indexing/Search",
            "Topic :: Scientific/Engineering :: Atmospheric Science",
            "Topic :: Scientific/Engineering :: GIS",
            "Topic :: Scientific/Engineering :: Human Machine Interfaces",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development :: Embedded Systems",
            "Topic :: Software Development :: Libraries",
            "Topic :: System :: Archiving",
            "Topic :: System :: Networking :: Monitoring",
            "Topic :: Text Processing",
            "Topic :: Utilities"
        ],
        "description": ".. image:: https://img.shields.io/badge/Python-3.6,%203.7-green.svg\n    :target: https://pypi.org/project/luftdatenpumpe/\n\n.. image:: https://img.shields.io/pypi/v/luftdatenpumpe.svg\n    :target: https://pypi.org/project/luftdatenpumpe/\n\n.. image:: https://img.shields.io/github/tag/hiveeyes/luftdatenpumpe.svg\n    :target: https://github.com/hiveeyes/luftdatenpumpe\n\n.. image:: https://assets.okfn.org/images/ok_buttons/od_80x15_red_green.png\n    :target: https://okfn.org/opendata/\n\n.. image:: https://assets.okfn.org/images/ok_buttons/oc_80x15_blue.png\n    :target: https://okfn.org/opendata/\n\n.. image:: https://assets.okfn.org/images/ok_buttons/os_80x15_orange_grey.png\n    :target: https://okfn.org/opendata/\n\n|\n\n##############\nLuftdatenpumpe\n##############\n\n\n*****\nAbout\n*****\nProcess live and historical data from `luftdaten.info`_, irceline_ and OpenAQ_.\nFilter by station-id, sensor-id and sensor-type, apply reverse geocoding,\nstore into TSDB_ and RDBMS_ databases (InfluxDB_ and PostGIS_),\npublish to MQTT_ or just output as JSON.\n\n.. figure:: https://cdn.jsdelivr.net/gh/hiveeyes/luftdatenpumpe@master/doc/logo.svg\n    :target: https://github.com/hiveeyes/luftdatenpumpe\n    :height: 200px\n    :width: 200px\n\n\n********\nFeatures\n********\n\n1. Luftdatenpumpe_ acquires the measurement readings either from the livedata API\n   of `luftdaten.info`_ or from its archived CSV files published to `archive.luftdaten.info`.\n   To minimize impact on the upstream servers, all data gets reasonably cached.\n\n2. While iterating the readings, it optionally filters on station-id, sensor-id or sensor-type\n   and restrains information processing to the corresponding stations and sensors.\n\n3. Then, each station's location information gets enhanced by\n\n   - attaching its geospatial position as a Geohash_.\n   - attaching a synthetic real-world address resolved using the reverse geocoding service Nominatim_ by OpenStreetMap_.\n\n4. Information about stations can be\n\n   - displayed on STDOUT or STDERR in JSON format.\n   - filtered and transformed interactively through jq_, the swiss army knife of JSON manipulation.\n   - stored into RDBMS_ databases like PostgreSQL_ using the fine dataset_ package.\n     Being built on top of SQLAlchemy_, this supports all major databases.\n   - queried using advanced geospatial features when running PostGIS_, please\n     follow up reading the `Luftdatenpumpe PostGIS tutorial <doc-postgis_>`_.\n\n5. Measurement readings can be\n\n   - displayed on STDOUT or STDERR in JSON format, which allows for piping into jq_ again.\n   - forwarded to MQTT_.\n   - stored to InfluxDB_ and then\n   - displayed in Grafana_.\n\n\n********\nSynopsis\n********\n::\n\n    # List networks\n    luftdatenpumpe networks\n\n    # List LDI stations\n    luftdatenpumpe stations --network=ldi --station=28,297 --reverse-geocode\n\n    # Store list of LDI stations and metadata into RDBMS database (PostgreSQL), also display on STDERR\n    luftdatenpumpe stations --network=ldi --station=28,1071 --reverse-geocode --target=postgresql://luftdatenpumpe@localhost/weatherbase\n\n    # Store LDI readings into InfluxDB\n    luftdatenpumpe readings --network=ldi --station=28,1071 --target=influxdb://luftdatenpumpe@localhost/luftdaten_info\n\n    # Forward LDI readings to MQTT\n    luftdatenpumpe readings --network=ldi --station=28,1071 --target=mqtt://mqtt.example.org/luftdaten.info\n\n\nFor a full overview about all program options including meaningful examples,\nyou might just want to run ``luftdatenpumpe --help`` on your command line\nor visit `luftdatenpumpe --help`_.\n\n\n\n***********\nScreenshots\n***********\nLuftdaten-Viewer displays stations and measurements from luftdaten.info (LDI) in Grafana.\n\n\nMap display and filtering\n=========================\n- Filter by different synthesized address components and sensor type.\n- Display measurements from filtered stations on Grafana Worldmap Panel.\n- Display filtered list of stations with corresponding information in tabular form.\n- Measurement values are held against configured thresholds so points are colored appropriately.\n\n.. image:: https://community.hiveeyes.org/uploads/default/original/2X/f/f455d3afcd20bfa316fefbe69e43ca2fe159e62d.png\n    :target: https://weather.hiveeyes.org/grafana/d/9d9rnePmk/amo-ldi-stations-5-map-by-sensor-type\n\n\nMap popup labels\n================\n- Humanized label computed from synthesized OpenStreetMap address.\n- Numeric station identifier.\n- Measurement value, unit and field name.\n\n.. image:: https://community.hiveeyes.org/uploads/default/original/2X/4/48eeda1a1d418eaf698b241a65080666abcf2497.png\n    :target: https://weather.hiveeyes.org/grafana/d/9d9rnePmk/amo-ldi-stations-5-map-by-sensor-type\n\n\n************\nInstallation\n************\nIf you are running Python 3 already,\ninstalling the program should be as easy as::\n\n    pip install luftdatenpumpe\n\nAt this point, you should be able to conduct simple tests like\n``luftdatenpumpe stations`` as seen in the synopsis section above.\nAt least, you should verify the installation succeeded by running::\n\n    luftdatenpumpe --version\n\nHowever, you might have to resolve some prerequisites so you want to follow\nthe detailed installation instructions at `install Luftdatenpumpe`_.\n\n\n****************\nLuftdaten-Viewer\n****************\n\nAbout\n=====\nUsing Luftdatenpumpe, you can build user-friendly interactive GIS systems\non top of PostGIS, InfluxDB and Grafana. We are calling this \"Luftdaten-Viewer\".\n\nWithout further ado, you might enjoy reading about existing \"Luftdaten-Viewer\"\ninstallations at `Testimonials for Luftdatenpumpe`_.\n\nInstructions\n============\nThese installation instructions outline how to setup the whole system to build\nsimilar interactive data visualization compositions of map-, graph- and other\npanel-widgets like outlined in the \"Testimonials\" section.\n\n- `Luftdaten-Viewer Applications`_\n- `Luftdaten-Viewer Databases`_\n- `Luftdaten-Viewer Grafana`_\n\n\n*******\nLicense\n*******\nThis program is free software; you can redistribute it and/or modify\nit under the terms of the GNU Affero General Public License as published by\nthe Free Software Foundation; either version 3 of the License, or\n(at your option) any later version.\n\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\nGNU General Public License for more details.\n\nYou should have received a copy of the GNU Affero General Public License\nalong with this program; if not, see:\n<http://www.gnu.org/licenses/agpl-3.0.txt>,\nor write to the Free Software Foundation,\nInc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301  USA\n\n\n********************\nContent attributions\n********************\nThe copyright of particular images and pictograms are held by their respective owners, unless otherwise noted.\n\nIcons and pictograms\n====================\n- `Water Pump Free Icon <https://www.onlinewebfonts.com/icon/97990>`_ from\n  `Icon Fonts <http://www.onlinewebfonts.com/icon>`_ is licensed by CC BY 3.0.\n\n\n\n.. _doc-virtualenv: https://github.com/hiveeyes/luftdatenpumpe/blob/master/doc/virtualenv.rst\n.. _doc-postgis: https://github.com/hiveeyes/luftdatenpumpe/blob/master/doc/postgis.rst\n\n\n.. _luftdaten.info: https://luftdaten.info/\n.. _irceline: http://www.irceline.be/en/documentation/open-data\n.. _OpenAQ: https://openaq.org/\n\n.. _Luftdatenpumpe: https://github.com/hiveeyes/luftdatenpumpe\n\n.. _Testimonials for Luftdatenpumpe: https://github.com/hiveeyes/luftdatenpumpe/blob/master/doc/testimonials.rst\n.. _luftdatenpumpe --help: https://github.com/hiveeyes/luftdatenpumpe/blob/master/doc/usage.rst\n.. _install Luftdatenpumpe: https://github.com/hiveeyes/luftdatenpumpe/blob/master/doc/setup/luftdatenpumpe.rst\n.. _Luftdaten-Viewer Applications: https://github.com/hiveeyes/luftdatenpumpe/blob/master/doc/setup/ldview-applications.rst\n.. _Luftdaten-Viewer Databases: https://github.com/hiveeyes/luftdatenpumpe/blob/master/doc/setup/ldview-databases.rst\n.. _Luftdaten-Viewer Grafana: https://github.com/hiveeyes/luftdatenpumpe/blob/master/doc/setup/ldview-grafana.rst\n.. _Luftdaten-Viewer Cron Job: https://github.com/hiveeyes/luftdatenpumpe/blob/master/doc/setup/ldview-cronjob.rst\n\n.. _Erneuerung der Luftdatenpumpe: https://community.hiveeyes.org/t/erneuerung-der-luftdatenpumpe/1199\n\n.. _The Hiveeyes Project: https://hiveeyes.org/\n\n.. _OpenStreetMap: https://en.wikipedia.org/wiki/OpenStreetMap\n.. _Nominatim: https://wiki.openstreetmap.org/wiki/Nominatim\n.. _Geohash: https://en.wikipedia.org/wiki/Geohash\n.. _dataset: https://dataset.readthedocs.io/\n.. _SQLAlchemy: https://www.sqlalchemy.org/\n.. _TSDB: https://en.wikipedia.org/wiki/Time_series_database\n.. _RDBMS: https://en.wikipedia.org/wiki/Relational_database_management_system\n.. _MQTT: http://mqtt.org/\n\n.. _PostgreSQL: https://www.postgresql.org/\n.. _PostGIS: https://postgis.net/\n.. _InfluxDB: https://github.com/influxdata/influxdb\n.. _Grafana: https://github.com/grafana/grafana\n\n.. _jq: https://stedolan.github.io/jq/",
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