2021-02-02 07:14:38 +00:00
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import json
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2021-02-22 06:13:30 +00:00
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from datetime import datetime, timedelta, timezone
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2021-07-18 22:38:31 +00:00
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import base64
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import gzip
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from io import BytesIO
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2021-12-20 06:02:02 +00:00
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import es
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2021-02-02 10:44:39 +00:00
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2023-07-15 01:30:56 +00:00
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from historic_es_to_s3 import fetch_launch_sites
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2021-02-02 07:14:38 +00:00
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def get_sondes(event, context):
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path = "telm-*/_search"
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payload = {
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2021-12-22 20:14:29 +00:00
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"size": 0,
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2021-02-02 07:14:38 +00:00
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"aggs": {
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"2": {
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2021-02-02 10:44:39 +00:00
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"terms": {
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"field": "serial.keyword",
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"order": {"_key": "desc"},
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"size": 10000,
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2021-02-02 07:14:38 +00:00
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},
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2021-02-02 10:44:39 +00:00
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"aggs": {
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"1": {
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"top_hits": {
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"size": 1,
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"sort": [{"datetime": {"order": "desc"}}],
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2021-02-02 07:14:38 +00:00
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}
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}
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2021-02-02 10:44:39 +00:00
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},
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2021-02-02 07:14:38 +00:00
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}
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},
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2021-02-02 10:44:39 +00:00
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"query": {"bool": {"filter": [{"match_all": {}}]}},
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2021-02-02 07:14:38 +00:00
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}
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# add filters
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if "queryStringParameters" in event:
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if "last" in event["queryStringParameters"]:
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payload["query"]["bool"]["filter"].append(
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{
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"range": {
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"datetime": {
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2022-01-02 07:10:04 +00:00
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"gte": f"now-{abs(int(event['queryStringParameters']['last']))}s",
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2021-07-24 09:33:29 +00:00
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"lte": "now+1m",
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2021-02-02 07:14:38 +00:00
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}
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}
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}
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)
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2021-08-20 02:49:55 +00:00
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else:
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payload["query"]["bool"]["filter"].append(
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{"range": {"datetime": {"gte": "now-1d", "lte": "now+1m"}}}
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)
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2021-02-02 10:44:39 +00:00
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if (
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"lat" in event["queryStringParameters"]
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and "lon" in event["queryStringParameters"]
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and "distance" in event["queryStringParameters"]
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):
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2021-02-02 07:14:38 +00:00
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payload["query"]["bool"]["filter"].append(
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{
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"geo_distance": {
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"distance": f"{int(event['queryStringParameters']['distance'])}m",
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"position": {
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2021-02-02 10:44:39 +00:00
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"lat": float(event["queryStringParameters"]["lat"]),
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"lon": float(event["queryStringParameters"]["lon"]),
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},
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2021-02-02 07:14:38 +00:00
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}
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}
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)
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2021-08-20 02:49:55 +00:00
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else:
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2021-02-02 07:14:38 +00:00
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payload["query"]["bool"]["filter"].append(
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2021-08-20 02:49:55 +00:00
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{"range": {"datetime": {"gte": "now-1d", "lte": "now+1m"}}}
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2021-02-02 10:44:39 +00:00
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)
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2022-01-02 06:33:59 +00:00
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try:
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results = es.request(json.dumps(payload), path, "POST")
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except:
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print(json.dumps(event))
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raise
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2021-02-02 10:44:39 +00:00
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buckets = results["aggregations"]["2"]["buckets"]
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sondes = {
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bucket["1"]["hits"]["hits"][0]["_source"]["serial"]: bucket["1"]["hits"][
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"hits"
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][0]["_source"]
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for bucket in buckets
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}
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return json.dumps(sondes)
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2023-07-15 01:30:56 +00:00
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def get_sondes_site(event, context):
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site = str(event["pathParameters"]["site"])
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if "queryStringParameters" in event and "last" in event["queryStringParameters"]:
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last_seconds = abs(int(event['queryStringParameters']['last']))
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if last_seconds > 60 * 60 * 24 * 7:
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return f"Duration too long. Must be less than 7 days"
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last_time = f"{last_seconds}s"
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else:
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last_time = "1d"
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launch_sites = fetch_launch_sites(time_filter=last_time)
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path = "telm-*/_search"
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payload = {
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"size": 0,
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"aggs": {
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"2": {
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"terms": {
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"field": "serial.keyword",
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"order": {"_key": "desc"},
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"size": 10000,
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},
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"aggs": {
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"1": {
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"top_hits": {
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"size": 1,
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"sort": [{"datetime": {"order": "desc"}}],
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}
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}
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},
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}
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},
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"query": {
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"bool": {
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"filter": [
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{"match_all": {}},
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]
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}
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},
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}
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payload["query"]["bool"]["filter"].append(
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{"range": {"datetime": {"gte": f"now-{last_time}", "lte": "now+1m"}}}
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)
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try:
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results = es.request(json.dumps(payload), path, "POST")
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except:
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print(json.dumps(event))
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raise
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output = {}
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buckets = results["aggregations"]["2"]["buckets"]
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sondes = {
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bucket["1"]["hits"]["hits"][0]["_source"]["serial"]: bucket["1"]["hits"][
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"hits"
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][0]["_source"]
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for bucket in buckets
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if bucket["1"]["hits"]["hits"][0]["_source"]["serial"] in launch_sites and
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launch_sites[bucket["1"]["hits"]["hits"][0]["_source"]["serial"]]['launch_site'] == site
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}
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return json.dumps(sondes)
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2021-02-02 10:44:39 +00:00
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def get_telem(event, context):
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durations = { # ideally we shouldn't need to predefine these, but it's a shit load of data and we don't need want to overload ES
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2023-01-17 23:19:49 +00:00
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"3d": (259200, 1200),
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"1d": (86400, 600),
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"12h": (43200, 600),
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"6h": (21600, 240),
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"3h": (10800, 120),
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"1h": (3600, 60),
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"30m": (1800, 30),
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"1m": (60, 5),
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2021-07-26 06:58:47 +00:00
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"15s": (15, 1),
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"0": (0, 1) # for getting a single time point
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2021-02-02 10:44:39 +00:00
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}
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duration_query = "3h"
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2021-04-09 07:14:14 +00:00
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requested_time = datetime.now(timezone.utc)
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2021-02-15 05:23:51 +00:00
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2021-02-02 10:44:39 +00:00
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if (
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"queryStringParameters" in event
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and "duration" in event["queryStringParameters"]
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):
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if event["queryStringParameters"]["duration"] in durations:
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duration_query = event["queryStringParameters"]["duration"]
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else:
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return f"Duration must be either {', '.join(durations.keys())}"
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2021-02-15 05:23:51 +00:00
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if (
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"queryStringParameters" in event
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and "datetime" in event["queryStringParameters"]
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):
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2021-03-28 05:00:44 +00:00
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requested_time = datetime.fromisoformat(
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event["queryStringParameters"]["datetime"].replace("Z", "+00:00")
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)
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2021-02-15 05:23:51 +00:00
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2021-02-02 10:44:39 +00:00
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(duration, interval) = durations[duration_query]
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2021-07-19 06:26:50 +00:00
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if "serial" in event["queryStringParameters"]:
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interval = 1
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2021-07-26 06:58:47 +00:00
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lt = requested_time + timedelta(0, 1)
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2021-03-28 05:00:44 +00:00
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gte = requested_time - timedelta(0, duration)
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2021-02-02 10:44:39 +00:00
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2022-11-04 08:51:41 +00:00
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path = f"telm-*/_search"
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2021-02-02 10:44:39 +00:00
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payload = {
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2021-07-19 01:10:14 +00:00
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"timeout": "30s",
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2021-08-01 13:47:51 +00:00
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"size": 0,
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2021-02-02 10:44:39 +00:00
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"aggs": {
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"2": {
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"terms": {
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"field": "serial.keyword",
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"size": 10000,
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},
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"aggs": {
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"3": {
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"date_histogram": {
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"field": "datetime",
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"fixed_interval": f"{str(interval)}s",
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"min_doc_count": 1,
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},
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"aggs": {
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"1": {
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"top_hits": {
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2021-08-01 13:47:51 +00:00
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"size": 10 if (duration == 0 ) else 1,
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2021-07-26 09:51:48 +00:00
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"sort": [
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{"datetime": {"order": "desc"}},
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2023-01-18 00:33:57 +00:00
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2021-07-26 09:51:48 +00:00
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],
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2021-02-02 10:44:39 +00:00
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}
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}
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},
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}
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},
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}
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},
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"query": {
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"bool": {
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"filter": [
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{"match_all": {}},
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{
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"range": {
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2021-03-28 05:00:44 +00:00
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"datetime": {"gte": gte.isoformat(), "lt": lt.isoformat()}
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2021-02-02 07:14:38 +00:00
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}
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2021-02-02 11:09:04 +00:00
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},
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2021-02-02 10:44:39 +00:00
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]
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}
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},
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}
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if "queryStringParameters" in event:
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if "serial" in event["queryStringParameters"]:
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2023-01-18 00:33:57 +00:00
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payload["aggs"]["2"]["aggs"]["3"]["aggs"]["1"]["top_hits"]["sort"].append({"pressure": {"order": "desc","mode" : "median"}})
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2021-02-02 10:44:39 +00:00
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payload["query"]["bool"]["filter"].append(
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{
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2023-07-11 23:59:43 +00:00
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"term": {
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"serial.keyword": str(event["queryStringParameters"]["serial"])
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2021-02-02 10:44:39 +00:00
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}
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2021-02-02 07:14:38 +00:00
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}
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)
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2021-12-20 06:02:02 +00:00
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results = es.request(json.dumps(payload), path, "POST")
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2021-02-02 10:44:39 +00:00
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output = {
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sonde["key"]: {
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2021-07-26 09:51:48 +00:00
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data["key_as_string"]: dict(data["1"]["hits"]["hits"][0]["_source"],
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uploaders=[ #add additional uploader information
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2021-10-27 00:00:05 +00:00
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{key:value for key,value in uploader['_source'].items() if key in ["snr","rssi","uploader_callsign", "frequency"]}
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2021-07-26 09:51:48 +00:00
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for uploader in data["1"]["hits"]["hits"]
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])
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2021-02-02 10:44:39 +00:00
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for data in sonde["3"]["buckets"]
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}
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for sonde in results["aggregations"]["2"]["buckets"]
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}
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2021-03-28 05:00:44 +00:00
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2021-07-21 09:54:09 +00:00
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compressed = BytesIO()
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with gzip.GzipFile(fileobj=compressed, mode='w') as f:
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json_response = json.dumps(output)
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f.write(json_response.encode('utf-8'))
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gzippedResponse = compressed.getvalue()
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return {
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"body": base64.b64encode(gzippedResponse).decode(),
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"isBase64Encoded": True,
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"statusCode": 200,
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"headers": {
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"Content-Encoding": "gzip",
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"content-type": "application/json"
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}
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}
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def get_listener_telemetry(event, context):
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durations = { # ideally we shouldn't need to predefine these, but it's a shit load of data and we don't need want to overload ES
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2021-08-20 13:41:29 +00:00
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"3d": (259200, 2400), # 3d, 20m
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"1d": (86400, 2400), # 1d, 10m
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"12h": (43200, 1200), # 1d, 10m
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"6h": (21600, 300), # 6h, 1m
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"3h": (10800, 120), # 3h, 10s
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"1h": (3600, 120),
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"30m": (1800, 30),
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2021-07-21 09:54:09 +00:00
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"1m": (60, 1),
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2021-08-20 13:41:29 +00:00
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"15s": (15, 1),
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"0": (0, 1)
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2021-07-21 09:54:09 +00:00
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}
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duration_query = "3h"
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requested_time = datetime.now(timezone.utc)
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if (
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"queryStringParameters" in event
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and "duration" in event["queryStringParameters"]
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):
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if event["queryStringParameters"]["duration"] in durations:
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duration_query = event["queryStringParameters"]["duration"]
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else:
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return f"Duration must be either {', '.join(durations.keys())}"
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if (
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"queryStringParameters" in event
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and "datetime" in event["queryStringParameters"]
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):
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requested_time = datetime.fromisoformat(
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event["queryStringParameters"]["datetime"].replace("Z", "+00:00")
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)
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(duration, interval) = durations[duration_query]
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2021-10-08 22:50:03 +00:00
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if "queryStringParameters" in event and "uploader_callsign" in event["queryStringParameters"]:
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2021-07-21 09:54:09 +00:00
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interval = 1
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lt = requested_time
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gte = requested_time - timedelta(0, duration)
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path = "listeners-*/_search"
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payload = {
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2021-12-22 20:14:29 +00:00
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"size": 0,
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2021-07-21 09:54:09 +00:00
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"timeout": "30s",
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"aggs": {
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"2": {
|
|
|
|
"terms": {
|
|
|
|
"field": "uploader_callsign.keyword",
|
|
|
|
"order": {"_key": "desc"},
|
|
|
|
"size": 10000,
|
|
|
|
},
|
|
|
|
"aggs": {
|
|
|
|
"3": {
|
|
|
|
"date_histogram": {
|
|
|
|
"field": "ts",
|
|
|
|
"fixed_interval": f"{str(interval)}s",
|
|
|
|
"min_doc_count": 1,
|
|
|
|
},
|
|
|
|
"aggs": {
|
|
|
|
"1": {
|
|
|
|
"top_hits": {
|
|
|
|
# "docvalue_fields": [
|
|
|
|
# {"field": "position"},
|
|
|
|
# {"field": "alt"},
|
|
|
|
# {"field": "datetime"},
|
|
|
|
# ],
|
|
|
|
# "_source": "position",
|
|
|
|
"size": 1,
|
|
|
|
"sort": [{"ts": {"order": "desc"}}],
|
|
|
|
}
|
|
|
|
}
|
|
|
|
},
|
|
|
|
}
|
|
|
|
},
|
|
|
|
}
|
|
|
|
},
|
|
|
|
"query": {
|
|
|
|
"bool": {
|
|
|
|
"filter": [
|
|
|
|
{"match_all": {}},
|
2021-10-08 22:50:03 +00:00
|
|
|
{"exists": { "field": "uploader_position"}},
|
2021-07-21 09:54:09 +00:00
|
|
|
{
|
|
|
|
"range": {
|
|
|
|
"ts": {"gte": gte.isoformat(), "lt": lt.isoformat()}
|
|
|
|
}
|
|
|
|
},
|
|
|
|
]
|
|
|
|
}
|
|
|
|
},
|
|
|
|
}
|
|
|
|
if "queryStringParameters" in event:
|
|
|
|
if "uploader_callsign" in event["queryStringParameters"]:
|
|
|
|
payload["query"]["bool"]["filter"].append(
|
|
|
|
{
|
2023-07-11 23:59:43 +00:00
|
|
|
"term": {
|
|
|
|
"uploader_callsign.keyword": str(event["queryStringParameters"]["uploader_callsign"])
|
2021-07-21 09:54:09 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
)
|
2021-12-20 06:02:02 +00:00
|
|
|
results = es.request(json.dumps(payload), path, "POST")
|
2021-07-21 09:54:09 +00:00
|
|
|
output = {
|
|
|
|
sonde["key"]: {
|
|
|
|
data["key_as_string"]: data["1"]["hits"]["hits"][0]["_source"]
|
|
|
|
for data in sonde["3"]["buckets"]
|
|
|
|
}
|
|
|
|
for sonde in results["aggregations"]["2"]["buckets"]
|
|
|
|
}
|
|
|
|
|
|
|
|
compressed = BytesIO()
|
|
|
|
with gzip.GzipFile(fileobj=compressed, mode='w') as f:
|
|
|
|
json_response = json.dumps(output)
|
|
|
|
f.write(json_response.encode('utf-8'))
|
|
|
|
|
|
|
|
gzippedResponse = compressed.getvalue()
|
|
|
|
return {
|
|
|
|
"body": base64.b64encode(gzippedResponse).decode(),
|
|
|
|
"isBase64Encoded": True,
|
|
|
|
"statusCode": 200,
|
|
|
|
"headers": {
|
|
|
|
"Content-Encoding": "gzip",
|
|
|
|
"content-type": "application/json"
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|
2021-03-28 05:00:44 +00:00
|
|
|
|
2021-10-04 10:55:51 +00:00
|
|
|
def get_sites(event, context):
|
|
|
|
|
|
|
|
path = "sites/_search"
|
|
|
|
payload = {
|
|
|
|
"version": True,
|
2023-07-06 06:35:36 +00:00
|
|
|
"size": 0,
|
2021-10-04 10:55:51 +00:00
|
|
|
"_source": {
|
|
|
|
"excludes": []
|
|
|
|
},
|
2023-07-06 06:35:36 +00:00
|
|
|
"aggs": {
|
|
|
|
"2": {
|
|
|
|
"terms": {
|
|
|
|
"field": "station.keyword",
|
|
|
|
"order": {"_key": "desc"},
|
|
|
|
"size": 10000,
|
|
|
|
},
|
|
|
|
|
|
|
|
"aggs": {
|
|
|
|
"1": {
|
|
|
|
"top_hits": {
|
|
|
|
"size": 1,
|
|
|
|
"sort": [{"datetime": {"order": "desc"}}],
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
},
|
2021-10-04 10:55:51 +00:00
|
|
|
"query": {
|
|
|
|
"bool": {
|
|
|
|
"filter": [
|
|
|
|
{
|
|
|
|
"match_all": {}
|
|
|
|
}
|
|
|
|
]
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if "queryStringParameters" in event:
|
|
|
|
if "station" in event["queryStringParameters"]:
|
|
|
|
payload["query"]["bool"]["filter"].append(
|
|
|
|
{
|
2023-07-11 23:59:43 +00:00
|
|
|
"term": {
|
|
|
|
"station.keyword": str(event["queryStringParameters"]["station"])
|
2021-10-04 10:55:51 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
)
|
2021-12-20 06:02:02 +00:00
|
|
|
results = es.request(json.dumps(payload), path, "POST")
|
2023-07-06 06:35:36 +00:00
|
|
|
output = {x['1']['hits']['hits'][0]['_source']['station']: x['1']['hits']['hits'][0]['_source'] for x in results['aggregations']['2']['buckets']}
|
2021-10-04 10:55:51 +00:00
|
|
|
|
|
|
|
compressed = BytesIO()
|
|
|
|
with gzip.GzipFile(fileobj=compressed, mode='w') as f:
|
|
|
|
json_response = json.dumps(output)
|
|
|
|
f.write(json_response.encode('utf-8'))
|
|
|
|
|
|
|
|
gzippedResponse = compressed.getvalue()
|
|
|
|
return {
|
|
|
|
"body": base64.b64encode(gzippedResponse).decode(),
|
|
|
|
"isBase64Encoded": True,
|
|
|
|
"statusCode": 200,
|
|
|
|
"headers": {
|
|
|
|
"Content-Encoding": "gzip",
|
|
|
|
"content-type": "application/json"
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|