Computing/Getting ERDDAP Running: Difference between revisions
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# A sample JSON file is needed where the dataset indicates the files will exist | # A sample JSON file is needed where the dataset indicates the files will exist | ||
## The record should be deletable once the system is running and has real data flowing | ## The record should be deletable once the system is running and has real data flowing | ||
# Use the DasDds.sh script in the WEB-INF directory to validate the dataset.xml file | |||
## Given this is docker, either <code>docker exec -it <name> /bin/bash</code> or invoke it with sufficient pass-throughs to run the script directly from the host | |||
=== Logs === | === Logs === |
Revision as of 07:20, 25 September 2023
ERDDAP is software for serving up scientific data. To run and configure it, the Docker approach works fairly well (even running on a Synology NAS).
Installation
docker pull axiom/docker-erddap:latest-jdk17-openjdk
Configuration
- Read https://coastwatch.pfeg.noaa.gov/erddap/download/setupDatasetsXml.html very carefully.
- It's long. It's thorough.
- Read through https://github.com/unidata/tomcat-docker to see if any Tomcat bits apply (unlikely, will use Caddy2 to front this Tomcat)
- Read through https://registry.hub.docker.com/r/axiom/docker-erddap/ and (source) https://github.com/axiom-data-science/docker-erddap
- Run the container at least once and extract /usr/local/tomcat/content/erddap/setup.xml and datasets.xml
- Tune the XML files
- Even though Axiom's docker can do everything with environment variables, setup.xml must exist
- Re-run the docker instance with file pass-throughs
- Don't forget to pass through the bigParentDirectory, because the logs are there
- In fact, there's a ton of stuff there that is needed for persistent operation
- A sample JSON file is needed where the dataset indicates the files will exist
- The record should be deletable once the system is running and has real data flowing
- Use the DasDds.sh script in the WEB-INF directory to validate the dataset.xml file
- Given this is docker, either
docker exec -it <name> /bin/bash
or invoke it with sufficient pass-throughs to run the script directly from the host
- Given this is docker, either
Logs
- Catalina logs are uninteresting
- Application logs are not exported to docker's log system
- Application logs are in the bigParentDirectory passed-through volume
HTTPGet errors
sourceName
does not do case translations todestinationName
. They must be identical.- Configuration of the dataset attributes uses (effectively) the
destinationName
spelling time, longitude, latitude
must be spelt that wayauthor
must be the last field on the request, and it points to the keys (username_$password)command
must exist in the definition, but never set- Yes, it's HTTP GET -> data write happens. It's terrible and goes against the RFC for web server implementation.
AIS Catcher integration
The whole goal of this setup is to grab AIS data from the meteorological sensors in Dublin Bay. A simple proof-of-concept parser follows.
#!/usr/bin/env python3
import json
import urllib.request
import urllib.parse
from datetime import datetime
URL="https://erddap.home.arpa/erddap/tabledap/datasetName.insert"
MAPPER = {
"signalpower": "Signal_Power",
"wspeed": "Wind_Speed",
"wgust": "Wind_Gust_Speed",
"wdir": "Wind_Direction",
"wgustdir": "Wind_Gust_Direction",
"lon": "longitude",
"lat": "latitude",
"waveheight": "Wave_Height",
"waveperiod": "Wave_Period",
"mmsi": "MMSI",
}
with open("ais.capture", "r") as f:
lines = f.readlines()
lines = [json.loads(x) for x in lines if "wspeed" in x and "01301" in x]
for line in lines:
kv = {}
rxtime = line["rxtime"]
dt_rxtime = datetime.strptime(rxtime, "%Y%m%d%H%M%S")
kv["time"]=dt_rxtime.strftime('%Y-%m-%dT%H:%M:%SZ')
kv["Station_ID"] ="Dublin_Bay_Buoy"
for field, value in MAPPER.items():
kv[value]=line[field]
kv["author"] ="testuser_somepassword"
params = urllib.parse.urlencode(kv)
url = f"{URL}?{params}"
with urllib.request.urlopen(url) as f:
print(f.read().decode('utf-8'))