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I will be using it in manual mode only. All scheduling, editing, configuring, weather information, etc will run on my ‘house-aware’ ubuntu box. I’m slowly adding motion sensors, lights, temperature & humidity sensors for each room, interfacing with the heating and so on…
I love the app, i did a few mock tests (don’t have the controller yet, but soon).
I was planning on doing something like this too, but with scheduling and a few other options.
Would it be ok with you if i fork the project to add more things to it?What I’d change in your code
– a php file that runs as a service and polls the data from the OS and saves it to memcache
– the webinterface polls the memcache information
– save a serialized object in memcache and just deserialize it when you read the data
This way a laggy network connections or other issues won’t trigger errors.
All the exchanges happen in ram – fast ui updates.I have a storage class written for the pi. It uses memcache (with fallback to files/mysql) for reads and memcached / files / mysql for storing data, wichever is available. I created it for a webservice that monitors 16 nut-capable upses and storring data for the last few days. I will upload it to github if you need it.
For what you need – to poll the weather service if it should trigger a rain delay – memcache is perfect. I will add to github a class you can just include in your project and just run the multiweather code as a service or cron.
Any bug reports / features requests are welcome.
I’ve posted what i have right now on github –https://github.com/vladbabii/multiweather
I’m getting the page with file_get_contents right now – i will add support for curl.I like the application you did.
Could you separate the calls to the io sockets in a different class in your code?
I’d like to create an alternate class to use remote curl calls to control a networked manual-mode sprinkler.
If you would be willing to work on the sheduler front-end I will do the backend.This is the config file with the stable + good data + free services i found [keys have been replaced with random values]
$weather_api_list=array(
'forecastio' => array(
// https://developer.forecast.io/
'key' =>'3a3c60d8'
,'latitude' => '27.1556'
,'longitude' => '47.5914'
,'delay' => 10*60
,'use' => true
)
,'openweather' => array(
// two requests per update - current and forecast
// http://openweathermap.org/api
// use city name or latitude and longitude
// city name will be used if all 3 fields are filled in
'key' => 'ccf359c274'
,'cityname' => 'london,uk'
,'latitude' => '17.1556'
,'longitude' => '87.5914'
,'delay' => 10*60
,'use' => true
)
,'worldweatheronline'=> array(
// no forecast
// http://developer.worldweatheronline.com/io-docs
'key' => 'nh8r'
,'q' => 'London'
,'delay' => 10*60
,'use' => true
)
,'hamweather' => array(
// no forecast
// http://www.hamweather.com/support/documentation/aeris/
'location' => 'iasi,ro'
,'id' => 'zjS58'
,'secret' => 'pu874'
,'delay' => 10*60
,'use' => true
)
,'wunderground' => array(
// two requests per update - current and forecast
'key' => 'f95'
,'location' => 'Iasi'
,'delay' => 10*60
,'use' => true
)
);
// Delay between two checks, in seconds
$main_delay=5;
// Number of loops, use null for infinite or a number for limited run
// $loops=1; or $loops=null;
$loops=1;
// Storage method
// echo - displays on screen
// file - writes to 'output.txt'
$storage_class='echo';
Sample output for current weather
weather_current
timestamp - 1370932571
values
forecastio
humidity - 0.76
precip_intensity - 0.03
precip_probability - 0.02
pressure - 1009.86
temperature - 20.82
openweather
humidity - 0.4
pressure - 1011
temperature - 29.497
worldweatheronline
humidity - 0.83
pressure - 1009
temperature - 20
hamweather
humidity - 0.83
pressure - 1009
temperature - 20
wunderground
humidity - 0.78
pressure - 1010
temperature - 21
separated_values
humidity
0 - 0.76
1 - 0.4
2 - 0.83
3 - 0.83
4 - 0.78
precip_intensity
0 - 0.03
precip_probability
0 - 0.02
pressure
0 - 1009.86
1 - 1011
2 - 1009
3 - 1009
4 - 1010
temperature
0 - 20.82
1 - 29.497
2 - 20
3 - 20
4 - 21
median
humidity - 0.78
precip_intensity - 0.03
precip_probability - 0.02
pressure - 1009.86
temperature - 20.82
averages
humidity - 0.72
precip_intensity - 0.03
precip_probability - 0.02
pressure - 1009.772
temperature - 22.2634
One should use $[
] Sample output for forecasting
weather_forecast
timestamp - 1370932571
values
forecastio
hourly
2013061106
humidity - 0.78
precip_intensity - 0.826
precip_probability - 0.87
pressure - 1008.86
temperature - 21.72
2013061107
humidity - 0.81
precip_intensity - 0.846
precip_probability - 0.89
pressure - 1008.99
temperature - 20.74
2013061108
humidity - 0.85
precip_intensity - 0.848
precip_probability - 0.92
pressure - 1009.15
temperature - 19.75
2013061109
humidity - 0.87
precip_intensity - 0.832
precip_probability - 0.93
pressure - 1009.32
temperature - 18.73
2013061110
humidity - 0.89
precip_intensity - 0.811
precip_probability - 0.95
pressure - 1009.51
temperature - 17.72
2013061111
humidity - 0.91
precip_intensity - 0.775
precip_probability - 0.95
pressure - 1009.7
temperature - 16.86
2013061112
humidity - 0.62
precip_intensity - 0.363
precip_probability - 0.87
pressure - 1008.92
temperature - 25.55
2013061101
humidity - 0.63
precip_intensity - 0.465
precip_probability - 0.92
pressure - 1008.8
temperature - 25.68
2013061102
humidity - 0.63
precip_intensity - 0.567
precip_probability - 0.91
pressure - 1008.71
temperature - 25.68
2013061103
humidity - 0.65
precip_intensity - 0.655
precip_probability - 0.88
pressure - 1008.67
temperature - 25.25
2013061104
humidity - 0.69
precip_intensity - 0.726
precip_probability - 0.88
pressure - 1008.68
temperature - 24.21
2013061105
humidity - 0.74
precip_intensity - 0.785
precip_probability - 0.87
pressure - 1008.76
temperature - 22.89
2013061212
humidity - 0.51
precip_intensity - 0.089
precip_probability - 0.09
pressure - 1010.63
temperature - 27.05
2013061201
humidity - 0.5
precip_intensity - 0.084
precip_probability - 0.07
pressure - 1010.61
temperature - 26.87
2013061202
humidity - 0.52
precip_intensity - 0.073
precip_probability - 0.06
pressure - 1010.63
temperature - 26.32
2013061203
humidity - 0.55
precip_intensity - 0.073
precip_probability - 0.1
pressure - 1010.73
temperature - 25.43
2013061204
humidity - 0.61
precip_intensity - 0.094
precip_probability - 0.22
pressure - 1010.97
temperature - 24.19
2013061205
humidity - 0.68
precip_intensity - 0.125
precip_probability - 0.39
pressure - 1011.29
temperature - 22.78
2013061206
humidity - 0.75
precip_intensity - 0.15
precip_probability - 0.51
pressure - 1011.64
temperature - 21.52
2013061207
humidity - 0.79
precip_intensity - 0.162
precip_probability - 0.54
pressure - 1012.03
temperature - 20.42
2013061208
humidity - 0.83
precip_intensity - 0.168
precip_probability - 0.53
pressure - 1012.45
temperature - 19.33
2013061209
humidity - 0.86
precip_intensity - 0.167
precip_probability - 0.49
pressure - 1012.84
temperature - 18.34
2013061210
humidity - 0.88
precip_intensity - 0.152
precip_probability - 0.44
pressure - 1013.13
temperature - 17.62
2013061211
humidity - 0.89
precip_intensity - 0.132
precip_probability - 0.36
pressure - 1013.36
temperature - 17.15
2013061312
humidity - 0.9
precip_intensity - 0.131
precip_probability - 0.33
pressure - 1013.6
temperature - 16.79
2013061301
humidity - 0.91
precip_intensity - 0.165
precip_probability - 0.35
pressure - 1013.86
temperature - 16.37
2013061302
humidity - 0.92
precip_intensity - 0.216
precip_probability - 0.4
pressure - 1014.14
temperature - 16.04
2013061303
humidity - 0.91
precip_intensity - 0.248
precip_probability - 0.44
pressure - 1014.41
temperature - 16.13
2013061304
humidity - 0.89
precip_intensity - 0.244
precip_probability - 0.43
pressure - 1014.67
temperature - 16.79
2013061305
humidity - 0.86
precip_intensity - 0.222
precip_probability - 0.41
pressure - 1014.91
temperature - 17.78
2013061306
humidity - 0.82
precip_intensity - 0.208
precip_probability - 0.39
pressure - 1015.09
temperature - 18.9
20130610
humidity - 0.74
precipProbability -
precip_intensity - 0.283
pressure - 1009.39
temperature -
20130611
humidity - 0.73
precipProbability -
precip_intensity - 0.229
pressure - 1010.66
temperature -
20130612
humidity - 0.77
precipProbability -
precip_intensity - 0.291
pressure - 1014.67
temperature -
20130613
humidity - 0.7
precipProbability -
precip_intensity - 0.105
pressure - 1015.74
temperature -
20130614
humidity - 0.72
precipProbability -
precip_intensity - 0.16
pressure - 1014.96
temperature -
20130615
humidity - 0.71
precipProbability -
precip_intensity - 0.043
pressure - 1014.68
temperature -
20130616
humidity - 0.67
precipProbability -
precip_intensity - 0.02
pressure - 1014.82
temperature -
20130617
humidity - 0.64
precipProbability -
precip_intensity - 0
pressure - 1013.81
temperature -
daily
openweather
daily
20130611
pressure - 1008.96
humidity - 0.99
temperature - 29.141
temperature_min - 28.9814
temperature_max - 29.141
20130612
pressure - 1010.92
humidity - 0.86
temperature - 29.344
temperature_min - 29.2699
temperature_max - 29.344
20130613
pressure - 1014.94
humidity - 0.67
temperature - 29.3299
temperature_min - 29.3299
temperature_max - 29.3299
20130614
pressure - 1014.54
humidity - 0.72
temperature - 29.4487
temperature_min - 29.4487
temperature_max - 29.4487
20130615
pressure - 1014.85
humidity - 0.81
temperature - 29.3464
temperature_min - 29.3464
temperature_max - 29.3464
20130616
pressure - 1016.27
humidity - 1
temperature - 29.1586
temperature_min - 29.1586
temperature_max - 29.1586
worldweatheronline
hamweather
wunderground
daily
20130611
precip_probability - 0.8
humidity - 0.69
temperature_min - 15
temperature_max - 27
temperature - 21
20130612
precip_probability - 0.8
humidity - 0.71
temperature_min - 16
temperature_max - 25
temperature - 20.5
20130613
precip_probability - 0.8
humidity - 0.79
temperature_min - 16
temperature_max - 25
temperature - 20.5
20130614
precip_probability - 0.8
humidity - 0.8
temperature_min - 16
temperature_max - 25
temperature - 20.5
separated_values
20130611
pressure
0 - 1008.96
humidity
0 - 0.99
1 - 0.69
temperature
0 - 29.141
1 - 21
temperature_min
0 - 28.9814
1 - 15
temperature_max
0 - 29.141
1 - 27
precip_probability
0 - 0.8
20130612
pressure
0 - 1010.92
humidity
0 - 0.86
1 - 0.71
temperature
0 - 29.344
1 - 20.5
temperature_min
0 - 29.2699
1 - 16
temperature_max
0 - 29.344
1 - 25
precip_probability
0 - 0.8
20130613
pressure
0 - 1014.94
humidity
0 - 0.67
1 - 0.79
temperature
0 - 29.3299
1 - 20.5
temperature_min
0 - 29.3299
1 - 16
temperature_max
0 - 29.3299
1 - 25
precip_probability
0 - 0.8
20130614
pressure
0 - 1014.54
humidity
0 - 0.72
1 - 0.8
temperature
0 - 29.4487
1 - 20.5
temperature_min
0 - 29.4487
1 - 16
temperature_max
0 - 29.4487
1 - 25
precip_probability
0 - 0.8
20130615
pressure
0 - 1014.85
humidity
0 - 0.81
temperature
0 - 29.3464
temperature_min
0 - 29.3464
temperature_max
0 - 29.3464
20130616
pressure
0 - 1016.27
humidity
0 - 1
temperature
0 - 29.1586
temperature_min
0 - 29.1586
temperature_max
0 - 29.1586
median
20130611
pressure - 1008.96
humidity - 0.84
temperature - 25.0705
temperature_min - 21.9907
temperature_max - 28.0705
precip_probability - 0.8
20130612
pressure - 1010.92
humidity - 0.785
temperature - 24.922
temperature_min - 22.63495
temperature_max - 27.172
precip_probability - 0.8
20130613
pressure - 1014.94
humidity - 0.73
temperature - 24.91495
temperature_min - 22.66495
temperature_max - 27.16495
precip_probability - 0.8
20130614
pressure - 1014.54
humidity - 0.76
temperature - 24.97435
temperature_min - 22.72435
temperature_max - 27.22435
precip_probability - 0.8
20130615
pressure - 1014.85
humidity - 0.81
temperature - 29.3464
temperature_min - 29.3464
temperature_max - 29.3464
20130616
pressure - 1016.27
humidity - 1
temperature - 29.1586
temperature_min - 29.1586
temperature_max - 29.1586
averages
20130611
pressure - 1008.96
humidity - 0.84
temperature - 25.0705
temperature_min - 21.9907
temperature_max - 28.0705
precip_probability - 0.8
20130612
pressure - 1010.92
humidity - 0.785
temperature - 24.922
temperature_min - 22.63495
temperature_max - 27.172
precip_probability - 0.8
20130613
pressure - 1014.94
humidity - 0.73
temperature - 24.91495
temperature_min - 22.66495
temperature_max - 27.16495
precip_probability - 0.8
20130614
pressure - 1014.54
humidity - 0.76
temperature - 24.97435
temperature_min - 22.72435
temperature_max - 27.22435
precip_probability - 0.8
20130615
pressure - 1014.85
humidity - 0.81
temperature - 29.3464
temperature_min - 29.3464
temperature_max - 29.3464
20130616
pressure - 1016.27
humidity - 1
temperature - 29.1586
temperature_min - 29.1586
temperature_max - 29.1586
One should use $[
][ ]. I prefer using median to get a better value instead of average because it removes values that are way different than the others in the set.
I am optimising the code right now. It has multiple output classes – mysql, file and echo right now but i want to add memcached support. Give me a day or two to clean up the code.
I have done a number of services for pi and found a great option to be to store temporary data in memcache because it’s low footprint – a few megabytes of ram and very little cpu usage.
What kind of storage would you want to use in your project?
Progress update
– 10 free services for current weather
– out of the 10, 5 have forecast data
– all services support a poll interval of at least 10 minutes (more than enough for private usage for a location)
– configuration options for all apis
– statistical analysis of current weather to produce a better result
– output to display, file, memcache, mysql databaseWorking on
– statistics code to produce a better aproximations of forecastsWeather data has:
– temperature
– pressure
– humidity
– probability of rain or snowNot sure if i should also gather wind speed and direction.
I’m a software developer just starting with open sprinkler systems, so take what i say with a grain of salt. In your scenario I would go with only the pi-powered open sprinkler controlling the valves and also connecting the sensor to the pi. A linux service can easily be run on the pi to do whatever work you want it to:
– wait until full
– if it rains or it will rain in X hours stop for y hours (optional)
– get last used valve id
– increment the valve id
– start watering
– wait until Z minutes have passed or sensor empty
– start all over againndboost – do you need any help with what you’re doing? Do you intend to release it to the comunity?
I’m currently doing a php script that can be run as a service or as a cron job under linux and provides current weather and weather predictions. I’ve added 11 free weather api’s so far, working on the prediction model and statistical analysis.
@ray wrote:
It’s a polling-based method, and the
I think your reply got cut in the last message.
Anyway, i will look at the code for ntp.
Another question: is the ntp server configurable? Is it auto-detected? If dhcp supplies a ntp server, does the open sprinkler system run it?Yes, i did read that when researching this.
What i was asking about was doing the reverse, polling a http url for the input, not sending the data to the opensprinkler.In manual mode, with http requests being done from another server to the opensprinkler, can more than one station be opened at one? do the stations need to be configured with the http interface before using the api?
