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1 | 1 | #!/bin/bash |
2 | 2 | set -e |
3 | 3 |
|
4 | | -#Function to install the vectorDB model |
5 | | -Put_model() { |
| 4 | +INSTALL_NEW_MODEL=true |
6 | 5 |
|
| 6 | +# get trained models from elasticsearch |
| 7 | +echo "Pulling trained models from elasticsearch." |
7 | 8 | sleep=2 |
8 | 9 | for i in $(seq 1 4); do |
9 | | - sleep=$((sleep*2)) |
10 | | - |
11 | | - sleep $sleep |
12 | | - # learn more https://www.elastic.co/docs/api/doc/elasticsearch-serverless/operation/operation-ml-put-trained-model#operation-ml-put-trained-model-wait_for_completion |
13 | | - response=$(curl -s -w "%{http_code}" -kX PUT "$ES/_ml/trained_models/.elser_model_1?wait_for_completion=true&pretty" -H 'Content-Type: application/json' -d' |
14 | | - { |
15 | | - "input": { |
16 | | - "field_names": ["text_field"] |
17 | | - } |
18 | | - } |
19 | | - ') |
20 | | - |
21 | | - http_code=$(tail -n1 <<< "$response") |
22 | | - content=$(sed '$ d' <<< "$response") |
23 | | - |
24 | | - # Check the HTTP status code |
25 | | - if [ "$http_code" -eq 200 ] || [ "$http_code" -eq 201 ]; then |
26 | | - echo "Request sent successfully." |
27 | | - break |
28 | | - else |
29 | | - echo "Failed to install the vectorDB model. HTTP status code: $http_code" |
30 | | - echo "Reponse: $content" |
31 | | - if [ "$i" -eq 4 ]; then |
32 | | - exit 1 |
| 10 | + |
| 11 | + sleep=$((sleep*2)) |
| 12 | + |
| 13 | + sleep $sleep |
| 14 | + result=$(curl -s -w "%{http_code}" -kX GET "$ES/_ml/trained_models?pretty") |
| 15 | + |
| 16 | + http_code=$(tail -n1 <<< "$result") |
| 17 | + content=$(sed '$ d' <<< "$result") |
| 18 | + # Check the result |
| 19 | + if [ "$http_code" -eq 200 ] || [ "$http_code" -eq 201 ]; then |
| 20 | + echo "Trained models successfully pulled from elasticsearch." |
| 21 | + break |
| 22 | + else |
| 23 | + echo "Failed to get the trained models from elasticsearch. HTTP status code: $http_code" |
| 24 | + echo "Reponse: $content" |
| 25 | + if [ "$i" -eq 4 ]; then |
| 26 | + exit 1 |
| 27 | + fi |
33 | 28 | fi |
34 | | - fi |
35 | 29 | done |
36 | 30 |
|
37 | | -} |
| 31 | +# fetch all model_ids created by customer (api_user) from the result |
| 32 | +model_ids=$(echo "$content" | jq ".trained_model_configs[] | select(.model_id and .created_by == \"api_user\") | .model_id") |
| 33 | + |
| 34 | +if [[ -z "$model_ids" ]]; then |
| 35 | + echo "User has not installed any trained model yet." |
| 36 | +else |
| 37 | + echo "User's installed trained models: '$model_ids'." |
| 38 | +fi |
| 39 | + |
| 40 | +# loop through result and delete unwanted models |
| 41 | +for model_id in $model_ids |
| 42 | +do |
| 43 | + # need to remove double quotes |
| 44 | + model=${model_id//"\""/""} |
| 45 | + echo "Check if model '$model' should be deleted from elasticsearch." |
| 46 | + if [ "$ELSER_MODEL_TYPE" != "$model" ]; then |
| 47 | + # deleting trained model |
| 48 | + echo "Deleting trained model '$model' from elasticsearch" |
| 49 | + sleep=2 |
| 50 | + for i in $(seq 1 4); do |
| 51 | + sleep=$((sleep*2)) |
| 52 | + |
| 53 | + sleep $sleep |
| 54 | + result=$(curl -s -w "%{http_code}" -kX DELETE "$ES/_ml/trained_models/$model?pretty") |
| 55 | + http_code=$(tail -n1 <<< "$result") |
| 56 | + content=$(sed '$ d' <<< "$result") |
| 57 | + # Check the result |
| 58 | + if [ "$http_code" -eq 200 ] || [ "$http_code" -eq 201 ]; then |
| 59 | + echo "Trained model '$model' successfully deleted from elasticsearch." |
| 60 | + break |
| 61 | + else |
| 62 | + echo "Failed to delete the trained model '$model' from elasticsearch. HTTP status code: $http_code" |
| 63 | + echo "Reponse: $content" |
| 64 | + if [ "$i" -eq 4 ]; then |
| 65 | + exit 1 |
| 66 | + fi |
| 67 | + fi |
| 68 | + done |
| 69 | + else |
| 70 | + INSTALL_NEW_MODEL=false |
| 71 | + echo "Do not delete model '$model' from elasticsearch." |
| 72 | + fi |
| 73 | +done |
| 74 | + |
| 75 | +# deploy a new trained model using retry |
| 76 | +if [ "$INSTALL_NEW_MODEL" = true ] ; then |
| 77 | + sleep=2 |
| 78 | + echo "Deploying the new trained model '$ELSER_MODEL_TYPE' to elasticsearch ..." |
| 79 | + for i in $(seq 1 4); do |
| 80 | + sleep=$((sleep*2)) |
| 81 | + |
| 82 | + sleep $sleep |
| 83 | + # learn more https://www.elastic.co/docs/api/doc/elasticsearch-serverless/operation/operation-ml-put-trained-model#operation-ml-put-trained-model-wait_for_completion |
| 84 | + response=$(curl -s -w "%{http_code}" -kX PUT "$ES/_ml/trained_models/$ELSER_MODEL_TYPE?wait_for_completion=true&pretty" -H 'Content-Type: application/json' -d' |
| 85 | + { |
| 86 | + "input": { |
| 87 | + "field_names": ["text_field"] |
| 88 | + } |
| 89 | + } |
| 90 | + ') |
| 91 | + |
| 92 | + http_code=$(tail -n1 <<< "$response") |
| 93 | + content=$(sed '$ d' <<< "$response") |
38 | 94 |
|
39 | | -Put_model |
| 95 | + # Check the result |
| 96 | + if [ "$http_code" -eq 200 ] || [ "$http_code" -eq 201 ]; then |
| 97 | + echo "Trained model '$ELSER_MODEL_TYPE' installed successfully." |
| 98 | + break |
| 99 | + else |
| 100 | + echo "Failed to install the model '$ELSER_MODEL_TYPE'. HTTP status code: $http_code" |
| 101 | + echo "Reponse: $content" |
| 102 | + if [ "$i" -eq 4 ]; then |
| 103 | + exit 1 |
| 104 | + fi |
| 105 | + fi |
| 106 | + done |
| 107 | +else |
| 108 | + echo "Model '$ELSER_MODEL_TYPE' already installed. Do not install it." |
| 109 | +fi |
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