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fix up predictions

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This commit is contained in:
Michaela 2021-03-22 19:29:37 +11:00
parent cc61cc7010
commit 8995e6249b
2 changed files with 27 additions and 10 deletions
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24
predict/lambda_function.py
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@ -29,7 +29,7 @@ def predict(event, context):
"3": { "3": {
"date_histogram": { "date_histogram": {
"field": "datetime", "field": "datetime",
"fixed_interval": "30s" "fixed_interval": "5s"
}, },
"aggs": { "aggs": {
"1": { "1": {
@ -52,7 +52,9 @@ def predict(event, context):
}, },
"4": { "4": {
"serial_diff": { "serial_diff": {
"buckets_path": "4-metric" "buckets_path": "4-metric",
"gap_policy": "skip",
"lag": 5
} }
}, },
"5": { "5": {
@ -135,7 +137,13 @@ def predict(event, context):
} }
], ],
"should": [], "should": [],
"must_not": [] "must_not": [
{
"match_phrase": {
"software_name": "SondehubV1"
}
}
]
} }
} }
} }
@ -158,7 +166,7 @@ def predict(event, context):
serials[x['key']] = { serials[x['key']] = {
"alt": sorted(x['3']['buckets'], key=lambda k: k['key_as_string'])[-1]['1']['hits']['hits'][0]['fields']['alt'][0], "alt": sorted(x['3']['buckets'], key=lambda k: k['key_as_string'])[-1]['1']['hits']['hits'][0]['fields']['alt'][0],
"position": sorted(x['3']['buckets'], key=lambda k: k['key_as_string'])[-1]['5']['hits']['hits'][0]['fields']['position'][0].split(","), "position": sorted(x['3']['buckets'], key=lambda k: k['key_as_string'])[-1]['5']['hits']['hits'][0]['fields']['position'][0].split(","),
"rate": sorted(x['3']['buckets'], key=lambda k: k['key_as_string'])[-1]['4']['value']/30, # as we bucket for every 30 seconds at the moment, "rate": sorted(x['3']['buckets'], key=lambda k: k['key_as_string'])[-1]['4']['value']/25, # as we bucket for every 5 seconds with a lag of 5
"time": sorted(x['3']['buckets'], key=lambda k: k['key_as_string'])[-1]['key_as_string'] "time": sorted(x['3']['buckets'], key=lambda k: k['key_as_string'])[-1]['key_as_string']
} }
except: except:
@ -205,7 +213,7 @@ def predict(event, context):
"vehicle": serial, "vehicle": serial,
"time": value['request']['launch_datetime'], "time": value['request']['launch_datetime'],
"latitude": value['request']['launch_latitude'], "latitude": value['request']['launch_latitude'],
"longitude": value['request']['launch_longitude']-180, "longitude": value['request']['launch_longitude'],
"altitude": value['request']['launch_altitude'], "altitude": value['request']['launch_altitude'],
"ascent_rate":value['request']['ascent_rate'], "ascent_rate":value['request']['ascent_rate'],
"descent_rate":value['request']['descent_rate'], "descent_rate":value['request']['descent_rate'],
@ -241,8 +249,10 @@ if __name__ == "__main__":
# position_id: 0 # position_id: 0
# vehicles: RS_*;*chase # vehicles: RS_*;*chase
print( print(
get_sondes_in_air_rates( predict(
{},{} {"queryStringParameters" : {
"vehicles": ""
}},{}
) )
) )

9
query/lambda_function.py
View File

@ -264,7 +264,14 @@ def datanew(event, context):
"lt": lt.isoformat() "lt": lt.isoformat()
} }
} }
}, }
],
"must_not": [
{
"match_phrase": {
"software_name": "SondehubV1"
}
}
] ]
} }
}, },