Flight-pipeline documentation
The CEDA Flight Finder tool allows searching for flights within the CEDA flights index using based on different paramenter parameters. Search for specific flights by Collection, Flight Code, Instrument or Keyword Search, or filter specific flights by temporal geospatial parameters. Flights from FAAM, NERC-ARSF, SAFIRE, AWI-Polar5, Kit-Enduro, and INTA-CASA aircraft and the APEX instrument flown on the DLR aircraft are now included. Up to the first 1000 flights will be plotted on the map with most recent on top. The default view is the 100 most recent flights.
The CEDA Flight Finder tool can be accessed here
Contents:
Repository for python code to concatenate data sources and construct new flight records for CEDA flight-finder
Objectives
Mechanism for uploading new flights to stac index
Use ES Client to determine array of ids that currently exists in the index
Push new records that are not currently in the index
Remove or archive pushed records on local system
Installation
You can either install the PyPi package through pip or clone the GitHub repository. The two options can be found below.
1. Install using pip
Run
pip install ceda-flight-pipelineInstall requirements into a local virtual environment using
Poetry: -poetry installConfigure dirconfig with relative paths
OR
2. Install by cloning GitHub repository
Clone the repository from github by running
git clone https://github.com/cedadev/flight-pipeline.git
- Install requirements into a local virtual environment using
Poetry:
poetry installConfigure dirconfig with relative paths
Running the program
1. Use stac_template to write new records Follow the STAC template json file to create new flight records (more details further down)
2. Configure dirconfig file Add on lines 2 and 4 the directory paths to where your new flights to push are stored, and where the pushed flights should go once they have been uploaded to the index (store them or write DELETE to remove them from the local system). Update line 6 with a directory path to a logfile.
3. Set up environment variables
In order to run the flight-pipeline project, you will need the following variables in your environment.
CONFIG_FILE=/path/to/your/dir/config/dirconfig
STAC_TEMPLATE=/path/to/your/dir/config/stac_template.json
SETTINGS_FILE=/path/to/your/dir/config/settings.json
In bash you can run:
export CONFIG_FILE=/path/to/your/dir/config/dirconfig
4. Push New Flights
Set up paths in dirconfig file in order to push new flights to the index.
Note
Run with command flight-pipeline flight-update in order to get prompts in the console.
Or run with command flight-pipeline flight-update --archive_path ../../ --flights_dir ../../ --add_mode y --update_mode n --update_id n where all the arguments are filled in already
Update Existing Flights
Note: In case of repair or adjustment to existing records, the individual records can be updated in place.
Run with command python flight_update.py update <pyfile>, where pyfile is a python file containing an update function that can be applied to each record in elasticsearch.
STAC Template
- From the template, the following should be filled in:
id (fnum/pcode * date)
es_id (random string of ASCII characters to generate one of 9 colours in flight finder)
description_path
collection
geometry.display.coordinates
geometry.display.type (if coordinates are not MultiLineString)
- properties:
data_format
start_datetime
end_datetime
flight_num (if applicable)
pcode (if applicable)
aircraft
variables
location
platform
instruments
pi
Geometries Development
Correct Version of mapping that exists in the arsf index
"spatial": {
"properties": {
"geometries": {
"properties": {
"display": {
"properties": {
"coordinates": {
"type": "double",
"index": false
},
"type": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
},
"full_search": {
"type": "geo_shape"
},
"search": {
"type": "geo_shape"
}
}
}
}
}
Incorrect version currently in stac-flightfinder-items
"geometry" : {
"properties" : {
"display" : {
"properties" : {
"coordinates" : {
"type" : "float"
},
"type" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
},
"geometries" : {
"properties" : {
"display" : {
"properties" : {
"coordinates" : {
"type" : "float"
},
"type" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
},
"search" : {
"properties" : {
"coordinates" : {
"type" : "float"
},
"type" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
},
"search" : {
"properties" : {
"coordinates" : {
"type" : "float"
},
"type" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
}
}
Ammendments:
Remove geometries subfield.
Remove all subfields of search and just add
"type":"geo_shape".Add full_search sub_field with
"type":"geo_shape".