feat(apisix): add Cloudron package
- Implements Apache APISIX packaging for Cloudron platform. - Includes Dockerfile, CloudronManifest.json, and start.sh. - Configured to use Cloudron's etcd addon. 🤖 Generated with Gemini CLI Co-Authored-By: Gemini <noreply@google.com>
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392
CloudronPackages/APISIX/apisix-source/t/plugin/ai-rag.t
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392
CloudronPackages/APISIX/apisix-source/t/plugin/ai-rag.t
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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use t::APISIX 'no_plan';
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log_level("info");
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repeat_each(1);
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no_long_string();
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no_root_location();
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my $resp_file = 't/assets/embeddings.json';
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open(my $fh, '<', $resp_file) or die "Could not open file '$resp_file' $!";
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my $embeddings = do { local $/; <$fh> };
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close($fh);
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add_block_preprocessor(sub {
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my ($block) = @_;
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if (!defined $block->request) {
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$block->set_value("request", "GET /t");
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}
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my $http_config = $block->http_config // <<_EOC_;
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server {
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listen 3623;
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default_type 'application/json';
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location /embeddings {
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content_by_lua_block {
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local json = require("cjson.safe")
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if ngx.req.get_method() ~= "POST" then
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ngx.status = 400
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ngx.say("Unsupported request method: ", ngx.req.get_method())
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return
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end
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ngx.req.read_body()
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local body, err = ngx.req.get_body_data()
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body, err = json.decode(body)
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local header_auth = ngx.req.get_headers()["api-key"]
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if header_auth ~= "key" then
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ngx.status = 401
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ngx.say("Unauthorized")
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return
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end
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ngx.status = 200
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ngx.say([[$embeddings]])
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}
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}
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location /search {
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content_by_lua_block {
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local json = require("cjson.safe")
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if ngx.req.get_method() ~= "POST" then
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ngx.status = 400
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ngx.say("Unsupported request method: ", ngx.req.get_method())
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end
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local header_auth = ngx.req.get_headers()["api-key"]
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if header_auth ~= "key" then
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ngx.status = 401
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ngx.say("Unauthorized")
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return
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end
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ngx.req.read_body()
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local body, err = ngx.req.get_body_data()
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body, err = json.decode(body)
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if body.vectorQueries[1].vector[1] ~= 123456789 then
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ngx.status = 500
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ngx.say({ error = "occurred" })
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return
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end
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ngx.status = 200
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ngx.print("passed")
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}
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}
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}
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_EOC_
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$block->set_value("http_config", $http_config);
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});
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run_tests();
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__DATA__
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=== TEST 1: minimal viable configuration
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--- config
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location /t {
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content_by_lua_block {
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local plugin = require("apisix.plugins.ai-rag")
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local ok, err = plugin.check_schema({
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embeddings_provider = {
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azure_openai = {
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api_key = "sdfjasdfh",
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endpoint = "http://a.b.com"
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}
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},
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vector_search_provider = {
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azure_ai_search = {
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api_key = "iuhsdf",
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endpoint = "http://a.b.com"
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}
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}
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})
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if not ok then
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ngx.say(err)
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else
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ngx.say("passed")
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end
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}
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}
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--- response_body
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passed
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=== TEST 2: vector search provider missing
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--- config
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location /t {
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content_by_lua_block {
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local plugin = require("apisix.plugins.ai-rag")
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local ok, err = plugin.check_schema({
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embeddings_provider = {
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azure_openai = {
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api_key = "sdfjasdfh",
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endpoint = "http://a.b.com"
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}
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}
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})
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if not ok then
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ngx.say(err)
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else
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ngx.say("passed")
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end
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}
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}
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--- response_body
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property "vector_search_provider" is required
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=== TEST 3: embeddings provider missing
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--- config
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location /t {
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content_by_lua_block {
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local plugin = require("apisix.plugins.ai-rag")
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local ok, err = plugin.check_schema({
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vector_search_provider = {
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azure_ai_search = {
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api_key = "iuhsdf",
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endpoint = "http://a.b.com"
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}
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}
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})
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if not ok then
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ngx.say(err)
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else
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ngx.say("passed")
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end
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}
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}
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--- response_body
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property "embeddings_provider" is required
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=== TEST 4: wrong auth header for embeddings provider
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--- config
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location /t {
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content_by_lua_block {
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local t = require("lib.test_admin").test
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local code, body = t('/apisix/admin/routes/1',
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ngx.HTTP_PUT,
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[[{
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"uri": "/echo",
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"plugins": {
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"ai-rag": {
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"embeddings_provider": {
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"azure_openai": {
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"endpoint": "http://localhost:3623/embeddings",
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"api_key": "wrongkey"
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}
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},
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"vector_search_provider": {
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"azure_ai_search": {
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"endpoint": "http://localhost:3623/search",
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"api_key": "key"
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}
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}
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}
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},
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"upstream": {
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"type": "roundrobin",
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"nodes": {
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"127.0.0.1:1980": 1
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},
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"scheme": "http",
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"pass_host": "node"
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}
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}]]
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)
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if code >= 300 then
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ngx.status = code
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end
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ngx.say(body)
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}
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}
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--- response_body
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passed
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=== TEST 5: send request
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--- request
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POST /echo
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{"ai_rag":{"vector_search":{"fields":"contentVector"},"embeddings":{"input":"which service is good for devops","dimensions":1024}}}
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--- error_code: 401
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--- response_body
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Unauthorized
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--- error_log
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could not get embeddings: Unauthorized
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=== TEST 6: wrong auth header for search provider
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--- config
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location /t {
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content_by_lua_block {
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local t = require("lib.test_admin").test
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local code, body = t('/apisix/admin/routes/1',
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ngx.HTTP_PUT,
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[[{
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"uri": "/echo",
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"plugins": {
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"ai-rag": {
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"embeddings_provider": {
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"azure_openai": {
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"endpoint": "http://localhost:3623/embeddings",
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"api_key": "key"
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}
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},
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"vector_search_provider": {
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"azure_ai_search": {
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"endpoint": "http://localhost:3623/search",
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"api_key": "wrongkey"
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}
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}
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}
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},
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"upstream": {
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"type": "roundrobin",
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"nodes": {
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"127.0.0.1:1980": 1
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},
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"scheme": "http",
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"pass_host": "node"
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}
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}]]
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)
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if code >= 300 then
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ngx.status = code
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end
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ngx.say(body)
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}
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}
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--- response_body
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passed
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=== TEST 7: send request
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--- request
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POST /echo
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{"ai_rag":{"vector_search":{"fields":"contentVector"},"embeddings":{"input":"which service is good for devops","dimensions":1024}}}
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--- error_code: 401
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--- error_log
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could not get vector_search result: Unauthorized
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=== TEST 8: send request with empty body
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--- request
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POST /echo
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--- error_code: 400
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--- response_body_chomp
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failed to get request body: request body is empty
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=== TEST 9: send request with vector search fields missing
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--- request
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POST /echo
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{"ai_rag":{"vector_search":{"missing-fields":"something"},"embeddings":{"input":"which service is good for devops","dimensions":1024}}}
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--- error_code: 400
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--- error_log
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request body fails schema check: property "ai_rag" validation failed: property "vector_search" validation failed: property "fields" is required
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=== TEST 10: send request with embedding input missing
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--- request
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POST /echo
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{"ai_rag":{"vector_search":{"fields":"something"},"embeddings":{"missinginput":"which service is good for devops"}}}
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--- error_code: 400
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--- error_log
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request body fails schema check: property "ai_rag" validation failed: property "embeddings" validation failed: property "input" is required
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=== TEST 11: configure plugin with right auth headers
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--- config
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location /t {
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content_by_lua_block {
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local t = require("lib.test_admin").test
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local code, body = t('/apisix/admin/routes/1',
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ngx.HTTP_PUT,
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[[{
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"uri": "/echo",
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"plugins": {
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"ai-rag": {
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"embeddings_provider": {
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"azure_openai": {
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"endpoint": "http://localhost:3623/embeddings",
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"api_key": "key"
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}
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},
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"vector_search_provider": {
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"azure_ai_search": {
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"endpoint": "http://localhost:3623/search",
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"api_key": "key"
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}
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}
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}
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},
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"upstream": {
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"type": "roundrobin",
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"nodes": {
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"127.0.0.1:1980": 1
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},
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"scheme": "http",
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"pass_host": "node"
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}
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}]]
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)
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if code >= 300 then
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ngx.status = code
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end
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ngx.say(body)
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}
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}
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--- response_body
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passed
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=== TEST 12: send request with embedding input missing
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--- request
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POST /echo
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{"ai_rag":{"vector_search":{"fields":"something"},"embeddings":{"input":"which service is good for devops"}}}
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--- error_code: 200
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--- response_body eval
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qr/\{"messages":\[\{"content":"passed","role":"user"\}\]\}|\{"messages":\[\{"role":"user","content":"passed"\}\]\}/
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