An input template framework
Project description
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
# Table of contents
- [Installation](#installation)
- [Test cases](#test-cases)
- [AgMIP and APSIM weather data files](#agmip-and-apsim-weather-data-files)
- [AgMIP data files](#agmip-data-files)
- [AgMIP template](#agmip-template)
- [AgMIP configuration](#agmip-configuration)
- [Parse AgMIP](#parse-agmip)
- [APSIM station](#apsim-station)
- [APSIM template](#apsim-template)
- [APSIM configuration](#apsim-configuration)
- [Parse APSIM](#parse-apsim)
[Template language](#template-language)
[Proposed workflow](#proposed-workflow)
# Installation
This project runs on **python3**. Thus, python3 should be installed.
For MacOS users issuing a `brew install python3` should do the trick.
Above command installs python3 (`/usr/local/bin/python3`) and pip3 (`/usr/local/bin/pip3`).
`pip3 install edam`
Above command install `edam` in your system.
They also create an **.edam** folder in your system's home directory.
All EDAM related documents are located in this folder.
User drafted *template* and *configuration* , and *input* files should be put in this folder.
More information about the proposed workflow can be found [here](#proposed-worflow).
# Proposed workflow
1. Edit `setting.yaml` to correspond to your database system
1. Draft a configuration file and put it into configurations folder (~/.edam/configurations)
2. Draft a template file (`~/.edam/templates`)
3. Add your input file into inputs folder (`~/.edam/inputs`)
# Test cases
After parsing datasets using `edam` command, you can issue `viewer` command
and a webservice starts on you computer. If no changes to `settings.yaml`
(check [Proposed workflow](#proposed-workflow)) have been made, you can visit
`http://127.0.0.1:5000` and view the data.
For more details about the `edam` command usage, issue a `edam --help` in your terminal.
## **AgMIP and APSIM weather data files**
The Agricultural Model Intercomparison and Improvement Project (AgMIP) brought into the spotlight agricultural modelling data sharing.
Within AgMIP, various agricultural models (such as the APSIM) were transformed into the AgMIP data scheme.
### AgMIP data files
#### AgMIP template
```csv
@DATE YYYY MM DD SRAD TMAX TMIN RAIN WIND DEWP VPRS RHUM
{%for timestamp, srad, tmax, tmin, rain, wind, dewp, vprs, rhum in chunk%}
1980001 {{timestamp.year}} {{timestamp.month}} {{timestamp.day}} {{srad.value}} {{tmax.value}} {{tmin.value}} {{rain.value}} {{wind.value}} {{dewp.value}} {{vprs.value}} {{rhum.value}}
{%endfor%}
```
#### AgMIP configuration
```yaml
Station:
name: Agmip
mobile: False
latitude: 23.200
longitude: 89.330
license: Attribution
tags:
key1: value1
key2: value2
Observables:
1:
observable_id: tmin
name: Temperature Min
2:
observable_id: tmax
name: Temperature Max
3:
observable_id: rain
name: Rain
4:
observable_id: srad
name: Solar radiation
5:
observable_id: wind
name: Wind
39:
observable_id: rhum
name: Humidity
6:
observable_id: vprs
name: Vprs
7:
observable_id: dewp
name: Dewing point
ontology:
Units of Measurement:
1:
name: unknown
symbol:
ontology:
relevant_observables: dewp, vprs, srad
2:
name: Percent
symbol: \%
ontology: something
relevant_observables: rhum
3:
name: Celcius
symbol: C
ontology: something
relevant_observables: tmin, tmax
4:
name: Millimeters
symbol: mm
ontology: something
relevant_observables: rain
5:
name: kilometers per hour
symbol: km/h
ontology: something
relevant_observables: wind
Sensors:
1:
generic: True
name: Generic Agmip sensor
manufacturer: Agmip Consortium
relevant_observables: dewp, vprs, srad, rhum, tmin, tmax, rain, wind
tags:
old: True
analog: False
```
#### Parse AgMIP
Following command is executed in approximately 2 seconds:
`edam --input Agmip.csv --template Agmip.tmpl --config Agmip.yaml --drop yes`
### APSIM station
#### APSIM template
```csv
[weather.met.weather]
Latitude = {{station.latitude}}
longitude = {{station.longitude}}
tav = {{station.tags.tav}}
amp = {{station.tags.amp}}
!!!! 1/01/1961 to 31/12/2005
day year radn maxt mint rain wind RH
{%for timestamp, radn,maxt,mint,rain,wind,RH in chunk%}
{{timestamp.dayofyear}} {{timestamp.year}} {{radn.value}} {{maxt.value}} {{mint.value}} {{rain.value}} {{wind.value}} {{RH.value}}
{%endfor%}
```
#### APSIM configuration
```yaml
Station:
name: Yucheng
license: Attribution
Observables:
1:
observable_id: mint
name: Temperature minimum
2:
observable_id: maxt
name: Temperature Max
3:
observable_id: rain
name: Rain
4:
observable_id: radn
name: Solar radiation
5:
observable_id: wind
name: Wind
6:
observable_id: RH
name: Relative humidity
Units of Measurement:
1:
name: Millijoule per square meters
symbol: mj/m2
ontology:
relevant_observables: radn
2:
name: Percent
symbol: \%
ontology: something
relevant_observables: RH
3:
name: Celcius
symbol: C
ontology: something
relevant_observables: mint, maxt
4:
name: Millimeters
symbol: mm
ontology: something
relevant_observables: rain
5:
name: Meters per second
symbol: m/s
ontology: something
relevant_observables: wind
Sensors:
1:
generic: True
name: Generic Agmip sensor
manufacturer: Agmip Consortium
relevant_observables: radn, RH, mint, maxt, rain, wind
tags:
old: True
analog: False
```
#### Parse APSIM
Following command is executed in less than 1 second:
`edam --input Yucheng.met --template Yucheng.tmpl --config Yucheng.yaml`
## **UK Meteorological Office**
In the context of Open Data, the UK Meteorological Office, reports historical observations of 27 weather stations.
For every station, monthly observations are stored in one text document.
New observations are appended every month and each weather station can be found on a certain URI.
URI follows the pattern:
`http://www.metoffice.gov.uk/pub/data/weather/uk/climate/stationdata/{station name}data.txt`, where {station name} is replaced with an actual station name.
### UK Met template
```csv
{{station.name}}
Location:{{station.location}}, Lat {{station.latitude}} Lon {{station.longitude}}, {{station.tags.altitude}}
Estimated data is marked with a * after the value.
Missing data (more than 2 days missing in month) is marked by ---.
Sunshine data taken from an automatic Kipp & Zonen sensor marked with a #, otherwise sunshine data taken from a Campbell Stokes recorder.
yyyy mm tmax tmin af rain sun
degC degC days mm hours
{%for timestamp, tmax,tmin,af,rain,sun in chunk%}
{{timestamp.year}} {{timestamp.month}} {{tmax.value}} {{tmin.value}} {{af.value}} {{rain.value}} {{sun.value}}
{%endfor%}
```
### UK Met configuration
```yaml
Station:
license: Attribution
region: United Kingdom
url: http://www.metoffice.gov.uk/
Observables:
1:
observable_id: tmin
name: Temperature minimum
2:
observable_id: tmax
name: Temperature Max
3:
observable_id: rain
name: Rain
4:
observable_id: af
name: Days of air frost
5:
observable_id: sun
name: Sunshine duration
Units of Measurement:
1:
name: Days
symbol: D
ontology:
relevant_observables: af, sun
3:
name: Celcius
symbol: C
ontology: something
relevant_observables: tmin, tmax
4:
name: Millimeters
symbol: mm
ontology: something
relevant_observables: rain
Sensors:
1:
generic: True
name: Generic test sensor
manufacturer: test Consortium
relevant_observables: tmin, tmax, rain, sun, af
tags:
old: True
analog: False
```
### Parse all UK Met weather stations
Following command downloads and stores data from 27 weather stations.
It is executed in approximately 9 seconds.
`edam --input "http://www.metoffice.gov.uk/pub/data/weather/uk/climate/stationdata/{\$var}data.txt" --template uk.tmpl --config uk.yaml --var "aberporth,armagh, ballypatrick, bradford, braemar, camborne, cambridge, cardiff, chivenor, cwmystwyth, dunstaffnage, durham, eastbourne, eskdalemuir" --drop yes`
## **Australian Bureau of Meteorology (Online)**
Bureau of Meteorology (BoM) in Australia offers historical timeseries from a number of weather stations.
They concern *daily* observations which are published every month in HTML documents.
These <!-- documents --> share the same structure and semantics, and are available online.
Users can access the timeseries by crafting URLs which comprise of information about the requested station id, and month/year.
For example, the URL for the meteorological data about Adelaide station (*5002* station id) for *October 2017* is:
[http://www.bom.gov.au/climate/dwo/**201710**/text/IDCJDW**5002**.**201710**.csv](http://www.bom.gov.au/climate/dwo/201710/text/IDCJDW5002.201710.csv)
### BoM template
```csv
"Daily Weather Observations for {{station.name}}, {{station.region}} for July 2017"
"Prepared at 16:06 GMT on Monday 7 August 2017 IDCJDW5002.201701"
"Copyright 2003 Commonwealth Bureau of Meteorology"
"The "official" Adelaide site is now at West Terrace / ngayirdapira."
"The "official" Adelaide weather observations site is now at West Terrace / ngayirdapira {site number 023000}. This Kent Town site is about 2 km east of the city centre."
"Observations were drawn from Adelaide (Kent Town) {station 023090}"
,"Date","Minimum temperature (°C)","Maximum temperature (°C)","Rainfall (mm)","Evaporation (mm)","Sunshine (hours)","Direction of maximum wind gust ","Speed of maximum wind gust (km/h)","Time of maximum wind gust",{% set hour=9 %},{% set hour=9 %},{% set hour=9 %},{% set hour=9 %},{% set hour=9 %},{%set hour=9 %},{% set hour=15 %},{% set hour=15 %},{%set hour=15 %},{% set hour=15 %},{% set hour=15 %},{% set hour=15 %}
{%for temp, wind, timestamp, windm_spd, windm_dir, wind_spd, wind_dir, rain, evap, sun, humidity, cloud, mlsp, tempMIN, tempMAX in chunk%}
,{{timestamp.date()}},{{tempMIN.value}},{{tempMAX.value}},{{rain.value}},{{evap.value}},{{sun.value}},{{windm_dir.value}},{{windm_spd.value}},{{same_timestamp(windm_spd.timestamp.time, windm_dir.timestamp.time)}},{{temp.value}},{{humidity.value}},{{cloud.value}},{{wind_dir.value}},{{wind_spd.value}},{{mlsp.value}},{{temp.value}},{{humidity.value}},{{cloud.value}},{{wind_dir.value}},{{wind_spd.value}},{{mlsp.value}}
{%endfor%}
```
### Bom configuration
```yaml
Station:
url: http://www.bom.gov.au
license: Attribution
Observables:
1:
observable_id: temp
name: Temperature above sea level
15:
observable_id: tempMIN
name: Temperature Min
16:
observable_id: tempMAX
name: Temperature Max
2:
observable_id: rain
name: Rain
3:
observable_id: evap
name: Evapotranspiration
4:
observable_id: sun
name: Sunlight
5:
observable_id: windm_dir
name: Wind max direction
11:
observable_id: windm_spd
name: Wind max speed
6:
observable_id: wind_dir
name: Wind direction
12:
observable_id: wind_spd
name: Wind speed
7:
observable_id: humidity
name: Humidity
8:
observable_id: cloud
name: Cloud
10:
observable_id: mlsp
name: Pressure
Units of Measurement:
1:
name: Celcius
symbol: C
ontology: something
relevant_observables: temp, tempMIN, tempMAX
2:
name: Millimeters
symbol: mm
ontology: something
relevant_observables: rain, evap
3:
name: hours
symbol: hours
ontology: something
relevant_observables: sun
4:
name: hecto Pascal
symbol: hPa
ontology: something
relevant_observables: mlsp
5:
name: eights
symbol: 8th
ontology: something
relevant_observables: cloud
6:
name: Percent
symbol: \%
ontology: something
relevant_observables: humidity
7:
name: Wind speed
symbol: km/h
ontology: something
relevant_observables: wind_spd, wind_dir
8:
name: Wind direction
symbol:
ontology: something
relevant_observables: windm_spd, windm_dir
Sensors:
1:
generic: True
name: Generic Bom sensor
manufacturer: Bom Consortium
relevant_observables: temp, tempMIN, tempMAX, rain, evap, sun, mlsp, cloud, humidity, windm_spd, windm_dir, wind_spd, wind_dir
tags:
old: True
analog: False
```
### Parse all BoM stations for July 2017
The following command will generate the URLs for 574 stations, download, and store them.
Ultimately 478 stations exist.
This command takes some time to be executed (aprox. 5 minutes).
`edam --input "http://www.bom.gov.au/climate/dwo/201707/text/IDCJDW{2-8}0{01-82}.201707.csv" --template bom.tmpl --config bom.yaml`
# EDAM template language
## Configuration
In the configuration file you can define *observables*, *station* and *sensors*.
An *observable* can have the following attributes:
1. name (e.g. Wind)
2. unit (e.g. direction km/h)
3. observable_id (e.g. wind). This corresponds to the name one can use in the related .tmpl file
## Template
In a template one can use in a *placeholder (**{{}}**)* only the *observable_id*'s, which were defined in the configuration files.
A *observable_id* has a value attribute (e.g.`{{wind.value}}`)
In case a column has the timestamp which corresponds to **all observables in each row**, users will use the `{{timestamp.}}`.
# Table of contents
- [Installation](#installation)
- [Test cases](#test-cases)
- [AgMIP and APSIM weather data files](#agmip-and-apsim-weather-data-files)
- [AgMIP data files](#agmip-data-files)
- [AgMIP template](#agmip-template)
- [AgMIP configuration](#agmip-configuration)
- [Parse AgMIP](#parse-agmip)
- [APSIM station](#apsim-station)
- [APSIM template](#apsim-template)
- [APSIM configuration](#apsim-configuration)
- [Parse APSIM](#parse-apsim)
[Template language](#template-language)
[Proposed workflow](#proposed-workflow)
# Installation
This project runs on **python3**. Thus, python3 should be installed.
For MacOS users issuing a `brew install python3` should do the trick.
Above command installs python3 (`/usr/local/bin/python3`) and pip3 (`/usr/local/bin/pip3`).
`pip3 install edam`
Above command install `edam` in your system.
They also create an **.edam** folder in your system's home directory.
All EDAM related documents are located in this folder.
User drafted *template* and *configuration* , and *input* files should be put in this folder.
More information about the proposed workflow can be found [here](#proposed-worflow).
# Proposed workflow
1. Edit `setting.yaml` to correspond to your database system
1. Draft a configuration file and put it into configurations folder (~/.edam/configurations)
2. Draft a template file (`~/.edam/templates`)
3. Add your input file into inputs folder (`~/.edam/inputs`)
# Test cases
After parsing datasets using `edam` command, you can issue `viewer` command
and a webservice starts on you computer. If no changes to `settings.yaml`
(check [Proposed workflow](#proposed-workflow)) have been made, you can visit
`http://127.0.0.1:5000` and view the data.
For more details about the `edam` command usage, issue a `edam --help` in your terminal.
## **AgMIP and APSIM weather data files**
The Agricultural Model Intercomparison and Improvement Project (AgMIP) brought into the spotlight agricultural modelling data sharing.
Within AgMIP, various agricultural models (such as the APSIM) were transformed into the AgMIP data scheme.
### AgMIP data files
#### AgMIP template
```csv
@DATE YYYY MM DD SRAD TMAX TMIN RAIN WIND DEWP VPRS RHUM
{%for timestamp, srad, tmax, tmin, rain, wind, dewp, vprs, rhum in chunk%}
1980001 {{timestamp.year}} {{timestamp.month}} {{timestamp.day}} {{srad.value}} {{tmax.value}} {{tmin.value}} {{rain.value}} {{wind.value}} {{dewp.value}} {{vprs.value}} {{rhum.value}}
{%endfor%}
```
#### AgMIP configuration
```yaml
Station:
name: Agmip
mobile: False
latitude: 23.200
longitude: 89.330
license: Attribution
tags:
key1: value1
key2: value2
Observables:
1:
observable_id: tmin
name: Temperature Min
2:
observable_id: tmax
name: Temperature Max
3:
observable_id: rain
name: Rain
4:
observable_id: srad
name: Solar radiation
5:
observable_id: wind
name: Wind
39:
observable_id: rhum
name: Humidity
6:
observable_id: vprs
name: Vprs
7:
observable_id: dewp
name: Dewing point
ontology:
Units of Measurement:
1:
name: unknown
symbol:
ontology:
relevant_observables: dewp, vprs, srad
2:
name: Percent
symbol: \%
ontology: something
relevant_observables: rhum
3:
name: Celcius
symbol: C
ontology: something
relevant_observables: tmin, tmax
4:
name: Millimeters
symbol: mm
ontology: something
relevant_observables: rain
5:
name: kilometers per hour
symbol: km/h
ontology: something
relevant_observables: wind
Sensors:
1:
generic: True
name: Generic Agmip sensor
manufacturer: Agmip Consortium
relevant_observables: dewp, vprs, srad, rhum, tmin, tmax, rain, wind
tags:
old: True
analog: False
```
#### Parse AgMIP
Following command is executed in approximately 2 seconds:
`edam --input Agmip.csv --template Agmip.tmpl --config Agmip.yaml --drop yes`
### APSIM station
#### APSIM template
```csv
[weather.met.weather]
Latitude = {{station.latitude}}
longitude = {{station.longitude}}
tav = {{station.tags.tav}}
amp = {{station.tags.amp}}
!!!! 1/01/1961 to 31/12/2005
day year radn maxt mint rain wind RH
{%for timestamp, radn,maxt,mint,rain,wind,RH in chunk%}
{{timestamp.dayofyear}} {{timestamp.year}} {{radn.value}} {{maxt.value}} {{mint.value}} {{rain.value}} {{wind.value}} {{RH.value}}
{%endfor%}
```
#### APSIM configuration
```yaml
Station:
name: Yucheng
license: Attribution
Observables:
1:
observable_id: mint
name: Temperature minimum
2:
observable_id: maxt
name: Temperature Max
3:
observable_id: rain
name: Rain
4:
observable_id: radn
name: Solar radiation
5:
observable_id: wind
name: Wind
6:
observable_id: RH
name: Relative humidity
Units of Measurement:
1:
name: Millijoule per square meters
symbol: mj/m2
ontology:
relevant_observables: radn
2:
name: Percent
symbol: \%
ontology: something
relevant_observables: RH
3:
name: Celcius
symbol: C
ontology: something
relevant_observables: mint, maxt
4:
name: Millimeters
symbol: mm
ontology: something
relevant_observables: rain
5:
name: Meters per second
symbol: m/s
ontology: something
relevant_observables: wind
Sensors:
1:
generic: True
name: Generic Agmip sensor
manufacturer: Agmip Consortium
relevant_observables: radn, RH, mint, maxt, rain, wind
tags:
old: True
analog: False
```
#### Parse APSIM
Following command is executed in less than 1 second:
`edam --input Yucheng.met --template Yucheng.tmpl --config Yucheng.yaml`
## **UK Meteorological Office**
In the context of Open Data, the UK Meteorological Office, reports historical observations of 27 weather stations.
For every station, monthly observations are stored in one text document.
New observations are appended every month and each weather station can be found on a certain URI.
URI follows the pattern:
`http://www.metoffice.gov.uk/pub/data/weather/uk/climate/stationdata/{station name}data.txt`, where {station name} is replaced with an actual station name.
### UK Met template
```csv
{{station.name}}
Location:{{station.location}}, Lat {{station.latitude}} Lon {{station.longitude}}, {{station.tags.altitude}}
Estimated data is marked with a * after the value.
Missing data (more than 2 days missing in month) is marked by ---.
Sunshine data taken from an automatic Kipp & Zonen sensor marked with a #, otherwise sunshine data taken from a Campbell Stokes recorder.
yyyy mm tmax tmin af rain sun
degC degC days mm hours
{%for timestamp, tmax,tmin,af,rain,sun in chunk%}
{{timestamp.year}} {{timestamp.month}} {{tmax.value}} {{tmin.value}} {{af.value}} {{rain.value}} {{sun.value}}
{%endfor%}
```
### UK Met configuration
```yaml
Station:
license: Attribution
region: United Kingdom
url: http://www.metoffice.gov.uk/
Observables:
1:
observable_id: tmin
name: Temperature minimum
2:
observable_id: tmax
name: Temperature Max
3:
observable_id: rain
name: Rain
4:
observable_id: af
name: Days of air frost
5:
observable_id: sun
name: Sunshine duration
Units of Measurement:
1:
name: Days
symbol: D
ontology:
relevant_observables: af, sun
3:
name: Celcius
symbol: C
ontology: something
relevant_observables: tmin, tmax
4:
name: Millimeters
symbol: mm
ontology: something
relevant_observables: rain
Sensors:
1:
generic: True
name: Generic test sensor
manufacturer: test Consortium
relevant_observables: tmin, tmax, rain, sun, af
tags:
old: True
analog: False
```
### Parse all UK Met weather stations
Following command downloads and stores data from 27 weather stations.
It is executed in approximately 9 seconds.
`edam --input "http://www.metoffice.gov.uk/pub/data/weather/uk/climate/stationdata/{\$var}data.txt" --template uk.tmpl --config uk.yaml --var "aberporth,armagh, ballypatrick, bradford, braemar, camborne, cambridge, cardiff, chivenor, cwmystwyth, dunstaffnage, durham, eastbourne, eskdalemuir" --drop yes`
## **Australian Bureau of Meteorology (Online)**
Bureau of Meteorology (BoM) in Australia offers historical timeseries from a number of weather stations.
They concern *daily* observations which are published every month in HTML documents.
These <!-- documents --> share the same structure and semantics, and are available online.
Users can access the timeseries by crafting URLs which comprise of information about the requested station id, and month/year.
For example, the URL for the meteorological data about Adelaide station (*5002* station id) for *October 2017* is:
[http://www.bom.gov.au/climate/dwo/**201710**/text/IDCJDW**5002**.**201710**.csv](http://www.bom.gov.au/climate/dwo/201710/text/IDCJDW5002.201710.csv)
### BoM template
```csv
"Daily Weather Observations for {{station.name}}, {{station.region}} for July 2017"
"Prepared at 16:06 GMT on Monday 7 August 2017 IDCJDW5002.201701"
"Copyright 2003 Commonwealth Bureau of Meteorology"
"The "official" Adelaide site is now at West Terrace / ngayirdapira."
"The "official" Adelaide weather observations site is now at West Terrace / ngayirdapira {site number 023000}. This Kent Town site is about 2 km east of the city centre."
"Observations were drawn from Adelaide (Kent Town) {station 023090}"
,"Date","Minimum temperature (°C)","Maximum temperature (°C)","Rainfall (mm)","Evaporation (mm)","Sunshine (hours)","Direction of maximum wind gust ","Speed of maximum wind gust (km/h)","Time of maximum wind gust",{% set hour=9 %},{% set hour=9 %},{% set hour=9 %},{% set hour=9 %},{% set hour=9 %},{%set hour=9 %},{% set hour=15 %},{% set hour=15 %},{%set hour=15 %},{% set hour=15 %},{% set hour=15 %},{% set hour=15 %}
{%for temp, wind, timestamp, windm_spd, windm_dir, wind_spd, wind_dir, rain, evap, sun, humidity, cloud, mlsp, tempMIN, tempMAX in chunk%}
,{{timestamp.date()}},{{tempMIN.value}},{{tempMAX.value}},{{rain.value}},{{evap.value}},{{sun.value}},{{windm_dir.value}},{{windm_spd.value}},{{same_timestamp(windm_spd.timestamp.time, windm_dir.timestamp.time)}},{{temp.value}},{{humidity.value}},{{cloud.value}},{{wind_dir.value}},{{wind_spd.value}},{{mlsp.value}},{{temp.value}},{{humidity.value}},{{cloud.value}},{{wind_dir.value}},{{wind_spd.value}},{{mlsp.value}}
{%endfor%}
```
### Bom configuration
```yaml
Station:
url: http://www.bom.gov.au
license: Attribution
Observables:
1:
observable_id: temp
name: Temperature above sea level
15:
observable_id: tempMIN
name: Temperature Min
16:
observable_id: tempMAX
name: Temperature Max
2:
observable_id: rain
name: Rain
3:
observable_id: evap
name: Evapotranspiration
4:
observable_id: sun
name: Sunlight
5:
observable_id: windm_dir
name: Wind max direction
11:
observable_id: windm_spd
name: Wind max speed
6:
observable_id: wind_dir
name: Wind direction
12:
observable_id: wind_spd
name: Wind speed
7:
observable_id: humidity
name: Humidity
8:
observable_id: cloud
name: Cloud
10:
observable_id: mlsp
name: Pressure
Units of Measurement:
1:
name: Celcius
symbol: C
ontology: something
relevant_observables: temp, tempMIN, tempMAX
2:
name: Millimeters
symbol: mm
ontology: something
relevant_observables: rain, evap
3:
name: hours
symbol: hours
ontology: something
relevant_observables: sun
4:
name: hecto Pascal
symbol: hPa
ontology: something
relevant_observables: mlsp
5:
name: eights
symbol: 8th
ontology: something
relevant_observables: cloud
6:
name: Percent
symbol: \%
ontology: something
relevant_observables: humidity
7:
name: Wind speed
symbol: km/h
ontology: something
relevant_observables: wind_spd, wind_dir
8:
name: Wind direction
symbol:
ontology: something
relevant_observables: windm_spd, windm_dir
Sensors:
1:
generic: True
name: Generic Bom sensor
manufacturer: Bom Consortium
relevant_observables: temp, tempMIN, tempMAX, rain, evap, sun, mlsp, cloud, humidity, windm_spd, windm_dir, wind_spd, wind_dir
tags:
old: True
analog: False
```
### Parse all BoM stations for July 2017
The following command will generate the URLs for 574 stations, download, and store them.
Ultimately 478 stations exist.
This command takes some time to be executed (aprox. 5 minutes).
`edam --input "http://www.bom.gov.au/climate/dwo/201707/text/IDCJDW{2-8}0{01-82}.201707.csv" --template bom.tmpl --config bom.yaml`
# EDAM template language
## Configuration
In the configuration file you can define *observables*, *station* and *sensors*.
An *observable* can have the following attributes:
1. name (e.g. Wind)
2. unit (e.g. direction km/h)
3. observable_id (e.g. wind). This corresponds to the name one can use in the related .tmpl file
## Template
In a template one can use in a *placeholder (**{{}}**)* only the *observable_id*'s, which were defined in the configuration files.
A *observable_id* has a value attribute (e.g.`{{wind.value}}`)
In case a column has the timestamp which corresponds to **all observables in each row**, users will use the `{{timestamp.}}`.
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