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https://github.com/projecthorus/sondehub-infra.git
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add reverse predit endpoint
This commit is contained in:
Michaela
parent
e75988050e
commit
e33d46f1cb
50
predictor.tf
50
predictor.tf
@ -114,6 +114,14 @@ resource "aws_apigatewayv2_route" "predictions" {
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target = "integrations/${aws_apigatewayv2_integration.predictions.id}"
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}
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resource "aws_apigatewayv2_route" "reverse_predictions" {
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api_id = aws_apigatewayv2_api.main.id
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api_key_required = false
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authorization_type = "NONE"
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route_key = "GET /predictions/reverse"
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target = "integrations/${aws_apigatewayv2_integration.reverse_predictions.id}"
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}
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resource "aws_apigatewayv2_integration" "predictions" {
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api_id = aws_apigatewayv2_api.main.id
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connection_type = "INTERNET"
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@ -124,12 +132,28 @@ resource "aws_apigatewayv2_integration" "predictions" {
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payload_format_version = "2.0"
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}
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resource "aws_apigatewayv2_integration" "reverse_predictions" {
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api_id = aws_apigatewayv2_api.main.id
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connection_type = "INTERNET"
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integration_method = "POST"
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integration_type = "AWS_PROXY"
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integration_uri = aws_lambda_function.reverse_predictions.arn
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timeout_milliseconds = 30000
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payload_format_version = "2.0"
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}
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data "archive_file" "predictions" {
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type = "zip"
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source_file = "predict/lambda_function.py"
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output_path = "${path.module}/build/predictions.zip"
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}
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data "archive_file" "reverse_predictions" {
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type = "zip"
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source_file = "reverse-predict/lambda_function.py"
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output_path = "${path.module}/build/reverse-predict.zip"
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}
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resource "aws_lambda_function" "predictions" {
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function_name = "predictions"
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handler = "lambda_function.predict"
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@ -153,3 +177,29 @@ resource "aws_lambda_permission" "predictions" {
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principal = "apigateway.amazonaws.com"
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source_arn = "arn:aws:execute-api:us-east-1:${data.aws_caller_identity.current.account_id}:${aws_apigatewayv2_api.main.id}/*/*/predictions"
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}
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resource "aws_lambda_function" "reverse_predictions" {
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function_name = "reverse-predictions"
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handler = "lambda_function.predict"
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filename = "${path.module}/build/reverse-predict.zip"
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source_code_hash = data.archive_file.reverse_predictions.output_base64sha256
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publish = true
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memory_size = 128
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role = aws_iam_role.basic_lambda_role.arn
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runtime = "python3.9"
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timeout = 30
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architectures = ["arm64"]
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environment {
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variables = {
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"ES" = "es.${local.domain_name}"
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}
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}
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}
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resource "aws_lambda_permission" "reverse_predictions" {
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action = "lambda:InvokeFunction"
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function_name = aws_lambda_function.reverse_predictions.arn
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principal = "apigateway.amazonaws.com"
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source_arn = "arn:aws:execute-api:us-east-1:${data.aws_caller_identity.current.account_id}:${aws_apigatewayv2_api.main.id}/*/*/predictions/reverse"
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}
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162
reverse-predict/lambda_function.py
Normal file
162
reverse-predict/lambda_function.py
Normal file
@ -0,0 +1,162 @@
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import boto3
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import botocore.credentials
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from botocore.awsrequest import AWSRequest
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from botocore.endpoint import URLLib3Session
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from botocore.auth import SigV4Auth
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import json
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import os
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from datetime import datetime, timedelta, timezone
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import sys
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import traceback
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import http.client
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import math
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import logging
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import gzip
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from io import BytesIO
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import base64
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HOST = os.getenv("ES")
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def predict(event, context):
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path = "reverse-prediction-*/_search"
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payload = {
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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": {
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"_key": "desc"
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},
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"size": 1000
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},
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"aggs": {
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"1": {
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"top_hits": {
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"_source": True,
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"size": 1,
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"sort": [
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{
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"datetime": {
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"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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}
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}
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},
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"size": 0,
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"stored_fields": [
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"*"
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],
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"script_fields": {},
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"docvalue_fields": [
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{
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"field": "datetime",
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"format": "date_time"
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}
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],
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"_source": {
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"excludes": []
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},
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"query": {
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"bool": {
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"must": [],
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"filter": [
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{
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"range": {
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"datetime": {
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"gte": "now-6h",
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"lte": "now",
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"format": "strict_date_optional_time"
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}
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}
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}
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],
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"should": [
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],
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"must_not": []
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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 "vehicles" in event["queryStringParameters"] and event["queryStringParameters"]["vehicles"] != "RS_*;*chase" and event["queryStringParameters"]["vehicles"] != "":
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for serial in event["queryStringParameters"]["vehicles"].split(","):
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payload["query"]["bool"]["should"].append(
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{
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"match_phrase": {
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"serial.keyword": serial
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}
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}
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)
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# for single sonde allow longer predictions
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payload['query']['bool']['filter'].pop(0)
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logging.debug("Start ES Request")
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results = es_request(payload, path, "GET")
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logging.debug("Finished ES Request")
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output = {x['1']['hits']['hits'][0]['_source']['serial']: x['1']['hits']['hits'][0]['_source'] for x in results['aggregations']['2']['buckets']}
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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 es_request(payload, path, method):
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# get aws creds
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session = boto3.Session()
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params = json.dumps(payload)
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compressed = BytesIO()
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with gzip.GzipFile(fileobj=compressed, mode='w') as f:
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f.write(params.encode('utf-8'))
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params = compressed.getvalue()
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headers = {"Host": HOST, "Content-Type": "application/json",
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"Content-Encoding": "gzip"}
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request = AWSRequest(
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method=method, url=f"https://{HOST}/{path}", data=params, headers=headers
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)
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SigV4Auth(boto3.Session().get_credentials(),
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"es", "us-east-1").add_auth(request)
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session = URLLib3Session()
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r = session.send(request.prepare())
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return json.loads(r.text)
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if __name__ == "__main__":
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# print(get_sondes({"queryStringParameters":{"lat":"-28.22717","lon":"153.82996","distance":"50000"}}, {}))
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# mode: 6hours
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# type: positions
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# format: json
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# max_positions: 0
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# position_id: 0
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# vehicles: RS_*;*chase
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print(predict(
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{"queryStringParameters": {
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"vehicles": ""
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}}, {}
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))
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# get list of sondes, serial, lat,lon, alt
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# and current rate
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# for each one, request http://predict.cusf.co.uk/api/v1/?launch_latitude=-37.8136&launch_longitude=144.9631&launch_datetime=2021-02-22T00:15:18.513413Z&launch_altitude=30000&ascent_rate=5&burst_altitude=30000.1&descent_rate=5
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# have to set the burst alt slightly higher than the launch
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81
vpc.tf
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81
vpc.tf
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@ -0,0 +1,81 @@
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resource "aws_vpc" "main" {
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cidr_block = "172.31.0.0/16"
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assign_generated_ipv6_cidr_block = true
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}
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resource "aws_egress_only_internet_gateway" "main" {
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vpc_id = aws_vpc.main.id
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}
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locals {
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private_subnets = {
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"us-east-1a"= "172.31.128.0/24",
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"us-east-1b"= "172.31.131.0/24",
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"us-east-1c"= "172.31.130.0/24",
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"us-east-1d"= "172.31.133.0/24",
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"us-east-1e"= "172.31.129.0/24",
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"us-east-1f"= "172.31.132.0/24"
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}
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public_subnets = {
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"us-east-1a"= "172.31.80.0/20",
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"us-east-1b"= "172.31.16.0/20",
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"us-east-1c"= "172.31.32.0/20",
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"us-east-1d"= "172.31.0.0/20",
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"us-east-1e"= "172.31.48.0/20",
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"us-east-1f"= "172.31.64.0/20"
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}
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}
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resource "aws_subnet" "private" {
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for_each = local.private_subnets
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map_public_ip_on_launch = false
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vpc_id = aws_vpc.main.id
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cidr_block = each.value
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tags = {
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Name = "${each.key} - private"
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}
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}
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resource "aws_subnet" "public" {
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for_each = local.public_subnets
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map_public_ip_on_launch = false
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vpc_id = aws_vpc.main.id
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cidr_block = each.value
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tags = {
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Name = "${each.key} - public"
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}
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}
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resource "aws_route_table" "main" {
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vpc_id = aws_vpc.main.id
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}
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resource "aws_route_table_association" "public" {
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for_each = local.public_subnets
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subnet_id = aws_subnet.public[each.key].id
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route_table_id = aws_route_table.main.id
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}
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resource "aws_route_table_association" "private" {
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for_each = local.private_subnets
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subnet_id = aws_subnet.private[each.key].id
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route_table_id = aws_route_table.main.id
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}
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resource "aws_internet_gateway" "gw" {
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vpc_id = aws_vpc.main.id
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}
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resource "aws_route" "main6" {
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route_table_id = aws_route_table.main.id
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destination_ipv6_cidr_block = "::/0"
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egress_only_gateway_id = aws_egress_only_internet_gateway.main.id
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}
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resource "aws_route" "main" {
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route_table_id = aws_route_table.main.id
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destination_cidr_block = "0.0.0.0/0"
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gateway_id = aws_internet_gateway.gw.id
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}
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@ -62,4 +62,10 @@ resource "aws_apigatewayv2_integration" "sign_socket" {
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# TODO subnet for reader
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# ecr
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# padding interfaces
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# service, reader, writer
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# task definition
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# s3 config bucket
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# iam roles
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# reader autoscaling
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