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samplestream:adaptable_example [2024/04/25 23:06]
optrix 		samplestream:adaptable_example [2024/04/25 23:15]
optrix
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 In the [[example|previous example]], we hard-coded the [[distance|distance]] between each of our assets when requesting a lag-corrected query. In the [[example|previous example]], we hard-coded the [[distance|distance]] between each of our assets when requesting a lag-corrected query.
  
-This would mean the code wouldn't be able to adapt to changes or move between various different lines, or deal with flexible systems that adjust for specific products.+This would mean the code wouldn't be able to adapt to changes, move between various different lines, or deal with flexible systems that adjust for specific products.
  
-Using ARDI, it's also possible to use relationships and static properties to load these //distance// values dynamically.+Using ARDI, it's also possible to load these //distance// values dynamically - although it is still limited to [[simple lag|only working on simple forms of lag]].
  
 <code python> <code python>
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 #Go through each asset and write its lag value to a dictionary #Go through each asset and write its lag value to a dictionary
-lags = {}+distances = {}
 for value in resp['response'][0]['value']: for value in resp['response'][0]['value']:
-    lags[value['name']] = value['rawvalue']+    distances[value['name']] = value['rawvalue']
  
 #Same as the previous query, but replaces the fixed lag value with a dictionary lookup #Same as the previous query, but replaces the fixed lag value with a dictionary lookup
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 lcq.RateLagQuery('Meters',"'Conveyor' ASSET 'Speed' PROPERTY VALUES") lcq.RateLagQuery('Meters',"'Conveyor' ASSET 'Speed' PROPERTY VALUES")
 lcq.AddQuery("'Inspection Station' ASSET 'Brownness' PROPERTY VALUES") lcq.AddQuery("'Inspection Station' ASSET 'Brownness' PROPERTY VALUES")
-lcq.AddQuery("'Oven' ASSET 'Temperature' PROPERTY VALUES",lag=lags['Oven'])+lcq.AddQuery("'Oven' ASSET 'Temperature' PROPERTY VALUES",lag=distances['Oven'])
 lcq.multiplier = 0.0166 lcq.multiplier = 0.0166
 lcq.shavems = True lcq.shavems = True

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