diff --git a/backend/src/main/java/com/cloudera/cai/rag/Types.java b/backend/src/main/java/com/cloudera/cai/rag/Types.java index c6410426..1b24d73a 100644 --- a/backend/src/main/java/com/cloudera/cai/rag/Types.java +++ b/backend/src/main/java/com/cloudera/cai/rag/Types.java @@ -103,6 +103,8 @@ public record RagDataSource( @Nullable Integer documentCount, @Nullable Long totalDocSize) {} + public record QueryConfiguration(boolean enableHyde, boolean enableSummaryFilter) {} + @With @Builder public record Session( @@ -116,7 +118,8 @@ public record Session( Instant lastInteractionTime, String inferenceModel, String rerankModel, - Integer responseChunks) { + Integer responseChunks, + QueryConfiguration queryConfiguration) { public static Session fromCreateRequest(CreateSession input, String username) { return new Session( @@ -130,14 +133,20 @@ public static Session fromCreateRequest(CreateSession input, String username) { null, input.inferenceModel(), input.rerankModel(), - input.responseChunks()); + input.responseChunks(), + input.queryConfiguration()); } } + @With public record CreateSession( String name, @Singular List dataSourceIds, String inferenceModel, String rerankModel, - Integer responseChunks) {} + Integer responseChunks, + QueryConfiguration queryConfiguration) {} + + public record MetadataMetrics( + int numberOfDataSources, int numberOfSessions, int numberOfDocuments) {} } diff --git a/backend/src/main/java/com/cloudera/cai/rag/datasources/RagDataSourceRepository.java b/backend/src/main/java/com/cloudera/cai/rag/datasources/RagDataSourceRepository.java index b138ca4d..1ad2f91a 100644 --- a/backend/src/main/java/com/cloudera/cai/rag/datasources/RagDataSourceRepository.java +++ b/backend/src/main/java/com/cloudera/cai/rag/datasources/RagDataSourceRepository.java @@ -152,6 +152,15 @@ public void deleteDataSource(Long id) { handle -> handle.execute("UPDATE RAG_DATA_SOURCE SET DELETED = ? where ID = ?", true, id)); } + public int getNumberOfDataSources() { + return jdbi.withHandle( + handle -> { + try (var query = handle.createQuery("SELECT count(*) FROM RAG_DATA_SOURCE")) { + return query.mapTo(Integer.class).one(); + } + }); + } + // Nullables stuff below here. public static RagDataSourceRepository createNull() { diff --git a/backend/src/main/java/com/cloudera/cai/rag/files/RagFileRepository.java b/backend/src/main/java/com/cloudera/cai/rag/files/RagFileRepository.java index 78141ca8..b902f10a 100644 --- a/backend/src/main/java/com/cloudera/cai/rag/files/RagFileRepository.java +++ b/backend/src/main/java/com/cloudera/cai/rag/files/RagFileRepository.java @@ -146,4 +146,13 @@ public RagDocument getRagDocumentById(Long id) { } }); } + + public int getNumberOfRagDocuments() { + return jdbi.withHandle( + handle -> { + try (var query = handle.createQuery("SELECT count(*) FROM rag_data_source_document")) { + return query.mapTo(Integer.class).one(); + } + }); + } } diff --git a/backend/src/main/java/com/cloudera/cai/rag/metrics/MetricsController.java b/backend/src/main/java/com/cloudera/cai/rag/metrics/MetricsController.java new file mode 100644 index 00000000..f3c81069 --- /dev/null +++ b/backend/src/main/java/com/cloudera/cai/rag/metrics/MetricsController.java @@ -0,0 +1,61 @@ +/* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. ("Cloudera") to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + */ + +package com.cloudera.cai.rag.metrics; + +import com.cloudera.cai.rag.Types; +import lombok.extern.slf4j.Slf4j; +import org.springframework.web.bind.annotation.GetMapping; +import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.web.bind.annotation.RestController; + +@RestController +@Slf4j +@RequestMapping("/api/v1/rag/metrics") +public class MetricsController { + private final MetricsService metricsService; + + public MetricsController(MetricsService metricsService) { + this.metricsService = metricsService; + } + + @GetMapping(produces = "application/json") + public Types.MetadataMetrics getMetrics() { + return metricsService.getMetrics(); + } +} diff --git a/backend/src/main/java/com/cloudera/cai/rag/metrics/MetricsService.java b/backend/src/main/java/com/cloudera/cai/rag/metrics/MetricsService.java new file mode 100644 index 00000000..c1bef0f2 --- /dev/null +++ b/backend/src/main/java/com/cloudera/cai/rag/metrics/MetricsService.java @@ -0,0 +1,75 @@ +/* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. ("Cloudera") to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + */ + +package com.cloudera.cai.rag.metrics; + +import com.cloudera.cai.rag.Types; +import com.cloudera.cai.rag.datasources.RagDataSourceRepository; +import com.cloudera.cai.rag.files.RagFileRepository; +import com.cloudera.cai.rag.sessions.SessionRepository; +import org.springframework.stereotype.Component; + +@Component +public class MetricsService { + private final RagDataSourceRepository ragDataSourceRepository; + private final SessionRepository sessionRepository; + private final RagFileRepository ragFileRepository; + + public MetricsService( + RagDataSourceRepository ragDataSourceRepository, + SessionRepository sessionRepository, + RagFileRepository ragFileRepository) { + this.ragDataSourceRepository = ragDataSourceRepository; + this.sessionRepository = sessionRepository; + this.ragFileRepository = ragFileRepository; + } + + public Types.MetadataMetrics getMetrics() { + var numberOfDataSources = ragDataSourceRepository.getNumberOfDataSources(); + var numberOfSessions = sessionRepository.getNumberOfSessions(); + var numberOfDocuments = ragFileRepository.getNumberOfRagDocuments(); + return new Types.MetadataMetrics(numberOfDataSources, numberOfSessions, numberOfDocuments); + } + + public static MetricsService createNull() { + return new MetricsService( + RagDataSourceRepository.createNull(), + SessionRepository.createNull(), + RagFileRepository.createNull()); + } +} diff --git a/backend/src/main/java/com/cloudera/cai/rag/sessions/SessionRepository.java b/backend/src/main/java/com/cloudera/cai/rag/sessions/SessionRepository.java index 021c6180..24cb0997 100644 --- a/backend/src/main/java/com/cloudera/cai/rag/sessions/SessionRepository.java +++ b/backend/src/main/java/com/cloudera/cai/rag/sessions/SessionRepository.java @@ -41,6 +41,8 @@ import com.cloudera.cai.rag.Types; import com.cloudera.cai.rag.configuration.JdbiConfiguration; import com.cloudera.cai.util.exceptions.NotFound; +import com.fasterxml.jackson.core.JsonProcessingException; +import com.fasterxml.jackson.databind.ObjectMapper; import java.time.Instant; import java.util.List; import java.util.Map; @@ -54,7 +56,10 @@ @Component public class SessionRepository { + public static final Types.QueryConfiguration DEFAULT_QUERY_CONFIGURATION = + new Types.QueryConfiguration(false, true); private final Jdbi jdbi; + private final ObjectMapper objectMapper = new ObjectMapper(); public SessionRepository(Jdbi jdbi) { this.jdbi = jdbi; @@ -65,8 +70,8 @@ public Long create(Types.Session input) { handle -> { var sql = """ - INSERT INTO CHAT_SESSION (name, created_by_id, updated_by_id, inference_model, rerank_model, response_chunks) - VALUES (:name, :createdById, :updatedById, :inferenceModel, :rerankModel, :responseChunks) + INSERT INTO CHAT_SESSION (name, created_by_id, updated_by_id, inference_model, rerank_model, response_chunks, query_configuration) + VALUES (:name, :createdById, :updatedById, :inferenceModel, :rerankModel, :responseChunks, :queryConfiguration) """; Long id = insertSession(input, handle, sql); insertSessionDataSources(handle, id, input.dataSourceIds()); @@ -90,8 +95,13 @@ INSERT INTO CHAT_SESSION_DATA_SOURCE (chat_session_id, data_source_id) private Long insertSession(Types.Session input, Handle handle, String sql) { try (var update = handle.createUpdate(sql)) { + Types.QueryConfiguration queryConfiguration = input.queryConfiguration(); + String json = objectMapper.writeValueAsString(queryConfiguration); + update.bind("queryConfiguration", json); update.bindMethods(input); return update.executeAndReturnGeneratedKeys("id").mapTo(Long.class).one(); + } catch (JsonProcessingException e) { + throw new RuntimeException(e); } } @@ -119,19 +129,26 @@ private Stream querySessions(Query query) { Types.Session.SessionBuilder sessionBuilder = map.computeIfAbsent( rowView.getColumn("id", Long.class), - sessionId -> - Types.Session.builder() + sessionId -> { + try { + var queryConfiguration = extractQueryConfiguration(rowView); + return Types.Session.builder() .id(sessionId) .name(rowView.getColumn("name", String.class)) .inferenceModel(rowView.getColumn("inference_model", String.class)) .responseChunks(rowView.getColumn("response_chunks", Integer.class)) .rerankModel(rowView.getColumn("rerank_model", String.class)) + .queryConfiguration(queryConfiguration) .createdById(rowView.getColumn("created_by_id", String.class)) .timeCreated(rowView.getColumn("time_created", Instant.class)) .updatedById(rowView.getColumn("updated_by_id", String.class)) .timeUpdated(rowView.getColumn("time_updated", Instant.class)) .lastInteractionTime( - rowView.getColumn("last_interaction_time", Instant.class))); + rowView.getColumn("last_interaction_time", Instant.class)); + } catch (JsonProcessingException e) { + throw new RuntimeException(e); + } + }); if (rowView.getColumn("data_source_id", Long.class) != null) { sessionBuilder.dataSourceId(rowView.getColumn("data_source_id", Long.class)); } @@ -139,6 +156,20 @@ private Stream querySessions(Query query) { } } + private Types.QueryConfiguration extractQueryConfiguration(RowView rowView) + throws JsonProcessingException { + String queryConfigurationJson = rowView.getColumn("query_configuration", String.class); + if (queryConfigurationJson == null) { + return DEFAULT_QUERY_CONFIGURATION; + } + Types.QueryConfiguration queryConfiguration = + objectMapper.readValue(queryConfigurationJson, Types.QueryConfiguration.class); + if (queryConfiguration == null) { + return DEFAULT_QUERY_CONFIGURATION; + } + return queryConfiguration; + } + public List getSessions() { return jdbi.withHandle( handle -> { @@ -155,10 +186,6 @@ public List getSessions() { }); } - public static SessionRepository createNull() { - return new SessionRepository(JdbiConfiguration.createNull()); - } - public void delete(Long id) { jdbi.useHandle( handle -> handle.execute("UPDATE CHAT_SESSION SET DELETED = ? WHERE ID = ?", true, id)); @@ -166,16 +193,42 @@ public void delete(Long id) { public void update(Types.Session input) { var updatedInput = input.withTimeUpdated(Instant.now()); + String json = serializeQueryConfiguration(input); jdbi.useHandle( handle -> { var sql = """ - UPDATE CHAT_SESSION - SET name = :name, updated_by_id = :updatedById, inference_model = :inferenceModel, - response_chunks = :responseChunks, time_updated = :timeUpdated, rerank_model = :rerankModel - WHERE id = :id - """; - handle.createUpdate(sql).bindMethods(updatedInput).execute(); + UPDATE CHAT_SESSION + SET name = :name, updated_by_id = :updatedById, inference_model = :inferenceModel, query_configuration = :queryConfiguration, + response_chunks = :responseChunks, time_updated = :timeUpdated, rerank_model = :rerankModel + WHERE id = :id + """; + handle + .createUpdate(sql) + .bind("queryConfiguration", json) + .bindMethods(updatedInput) + .execute(); }); } + + private String serializeQueryConfiguration(Types.Session input) { + try { + return objectMapper.writeValueAsString(input.queryConfiguration()); + } catch (JsonProcessingException e) { + throw new RuntimeException(e); + } + } + + public int getNumberOfSessions() { + return jdbi.withHandle( + handle -> { + try (var query = handle.createQuery("SELECT count(*) FROM CHAT_SESSION")) { + return query.mapTo(Integer.class).one(); + } + }); + } + + public static SessionRepository createNull() { + return new SessionRepository(JdbiConfiguration.createNull()); + } } diff --git a/backend/src/main/java/com/cloudera/cai/rag/util/UserTokenCookieDecoder.java b/backend/src/main/java/com/cloudera/cai/rag/util/UserTokenCookieDecoder.java index 3b671cb1..97b755d8 100644 --- a/backend/src/main/java/com/cloudera/cai/rag/util/UserTokenCookieDecoder.java +++ b/backend/src/main/java/com/cloudera/cai/rag/util/UserTokenCookieDecoder.java @@ -1,4 +1,4 @@ -/******************************************************************************* +/* * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) * (C) Cloudera, Inc. 2024 * All rights reserved. @@ -76,5 +76,5 @@ public String extractUsername(Cookie[] cookies) { return "unknown"; } - public record JwtCookie(String username) {} + record JwtCookie(String username) {} } diff --git a/backend/src/main/resources/migrations/h2/18_add_chat_query_config.down.sql b/backend/src/main/resources/migrations/h2/18_add_chat_query_config.down.sql new file mode 100644 index 00000000..1cbe1655 --- /dev/null +++ b/backend/src/main/resources/migrations/h2/18_add_chat_query_config.down.sql @@ -0,0 +1,45 @@ +/* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. (“Cloudera”) to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + */ + +SET MODE MYSQL; + +BEGIN; + +ALTER TABLE CHAT_SESSION DROP COLUMN query_configuration; + +COMMIT; \ No newline at end of file diff --git a/backend/src/main/resources/migrations/h2/18_add_chat_query_config.up.sql b/backend/src/main/resources/migrations/h2/18_add_chat_query_config.up.sql new file mode 100644 index 00000000..cd8b3783 --- /dev/null +++ b/backend/src/main/resources/migrations/h2/18_add_chat_query_config.up.sql @@ -0,0 +1,46 @@ +/* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. (“Cloudera”) to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + */ + +SET MODE MYSQL; + +BEGIN; + +ALTER TABLE CHAT_SESSION ADD COLUMN query_configuration TEXT; + + +COMMIT; \ No newline at end of file diff --git a/backend/src/main/resources/migrations/migrations.txt b/backend/src/main/resources/migrations/migrations.txt index 8f027ecc..e2109981 100644 --- a/backend/src/main/resources/migrations/migrations.txt +++ b/backend/src/main/resources/migrations/migrations.txt @@ -32,4 +32,6 @@ 16_add_doc_status.down.sql 16_add_doc_status.up.sql 17_add_chat_rerank_model.down.sql -17_add_chat_rerank_model.up.sql \ No newline at end of file +17_add_chat_rerank_model.up.sql +18_add_chat_query_config.down.sql +18_add_chat_query_config.up.sql \ No newline at end of file diff --git a/backend/src/main/resources/migrations/postgres/18_add_chat_query_config.down.sql b/backend/src/main/resources/migrations/postgres/18_add_chat_query_config.down.sql new file mode 100644 index 00000000..1638477c --- /dev/null +++ b/backend/src/main/resources/migrations/postgres/18_add_chat_query_config.down.sql @@ -0,0 +1,43 @@ +/* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. (“Cloudera”) to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + */ + +BEGIN; + +ALTER TABLE CHAT_SESSION DROP COLUMN query_configuration; + +COMMIT; \ No newline at end of file diff --git a/backend/src/main/resources/migrations/postgres/18_add_chat_query_config.up.sql b/backend/src/main/resources/migrations/postgres/18_add_chat_query_config.up.sql new file mode 100644 index 00000000..eef1250e --- /dev/null +++ b/backend/src/main/resources/migrations/postgres/18_add_chat_query_config.up.sql @@ -0,0 +1,44 @@ +/* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. (“Cloudera”) to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + */ + +BEGIN; + +ALTER TABLE CHAT_SESSION ADD COLUMN query_configuration TEXT; + + +COMMIT; \ No newline at end of file diff --git a/backend/src/test/java/com/cloudera/cai/rag/TestData.java b/backend/src/test/java/com/cloudera/cai/rag/TestData.java index bdc3eee2..efc78119 100644 --- a/backend/src/test/java/com/cloudera/cai/rag/TestData.java +++ b/backend/src/test/java/com/cloudera/cai/rag/TestData.java @@ -51,17 +51,23 @@ public static Types.Session createTestSessionInstance(String sessionName) { List.of(1L, 2L, 3L), null, null, - null, - null, + "fake-user", + "fake-user", null, "test-model", "test-rerank-model", - 3); + 3, + new Types.QueryConfiguration(false, true)); } public static Types.CreateSession createSessionInstance(String sessionName) { return new Types.CreateSession( - sessionName, List.of(1L, 2L, 3L), "test-model", "test-rerank-model", 3); + sessionName, + List.of(1L, 2L, 3L), + "test-model", + "test-rerank-model", + 3, + new Types.QueryConfiguration(false, true)); } public static Types.RagDataSource createTestDataSourceInstance( diff --git a/backend/src/test/java/com/cloudera/cai/rag/metrics/MetricsControllerTest.java b/backend/src/test/java/com/cloudera/cai/rag/metrics/MetricsControllerTest.java new file mode 100644 index 00000000..b30f0c1c --- /dev/null +++ b/backend/src/test/java/com/cloudera/cai/rag/metrics/MetricsControllerTest.java @@ -0,0 +1,80 @@ +/* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. ("Cloudera") to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + */ + +package com.cloudera.cai.rag.metrics; + +import static org.assertj.core.api.Assertions.assertThat; + +import com.cloudera.cai.rag.TestData; +import com.cloudera.cai.rag.Types; +import com.cloudera.cai.rag.datasources.RagDataSourceRepository; +import com.cloudera.cai.rag.files.RagFileRepository; +import com.cloudera.cai.rag.sessions.SessionRepository; +import org.junit.jupiter.api.Test; + +class MetricsControllerTest { + @Test + void metrics() { + var metricsController = new MetricsController(MetricsService.createNull()); + var beginningMetrics = metricsController.getMetrics(); + + var seshRepo = SessionRepository.createNull(); + seshRepo.create(TestData.createTestSessionInstance("test-session-1")); + seshRepo.create(TestData.createTestSessionInstance("test-session-2")); + seshRepo.create(TestData.createTestSessionInstance("test-session-3")); + seshRepo.create(TestData.createTestSessionInstance("test-session-4")); + seshRepo.create(TestData.createTestSessionInstance("test-session-5")); + + var dataSourceRepo = RagDataSourceRepository.createNull(); + var id1 = TestData.createTestDataSource(dataSourceRepo); + var id2 = TestData.createTestDataSource(dataSourceRepo); + var id3 = TestData.createTestDataSource(dataSourceRepo); + + RagFileRepository ragFileRepo = RagFileRepository.createNull(); + TestData.createTestDocument(id1, "doc-1", ragFileRepo); + TestData.createTestDocument(id2, "doc-2", ragFileRepo); + TestData.createTestDocument(id3, "doc-3", ragFileRepo); + TestData.createTestDocument(id3, "doc-4", ragFileRepo); + + Types.MetadataMetrics metrics = metricsController.getMetrics(); + + assertThat(metrics.numberOfSessions()).isEqualTo(5 + beginningMetrics.numberOfSessions()); + assertThat(metrics.numberOfDataSources()).isEqualTo(3 + beginningMetrics.numberOfDataSources()); + assertThat(metrics.numberOfDocuments()).isEqualTo(4 + beginningMetrics.numberOfDocuments()); + } +} diff --git a/backend/src/test/java/com/cloudera/cai/rag/sessions/SessionControllerTest.java b/backend/src/test/java/com/cloudera/cai/rag/sessions/SessionControllerTest.java index a283827f..4d39c78e 100644 --- a/backend/src/test/java/com/cloudera/cai/rag/sessions/SessionControllerTest.java +++ b/backend/src/test/java/com/cloudera/cai/rag/sessions/SessionControllerTest.java @@ -71,6 +71,7 @@ void create() throws JsonProcessingException { assertThat(result.createdById()).isEqualTo("test-user"); assertThat(result.updatedById()).isEqualTo("test-user"); assertThat(result.lastInteractionTime()).isNull(); + assertThat(result.queryConfiguration()).isNotNull(); } @Test @@ -109,7 +110,8 @@ void update() throws JsonProcessingException { .withInferenceModel(updatedInferenceModel) .withResponseChunks(updatedResponseChunks) .withRerankModel(updatedRerankModel) - .withName(updatedName), + .withName(updatedName) + .withQueryConfiguration(new Types.QueryConfiguration(true, false)), request); assertThat(updatedSession.id()).isNotNull(); @@ -123,6 +125,22 @@ void update() throws JsonProcessingException { assertThat(updatedSession.createdById()).isEqualTo("test-user"); assertThat(updatedSession.updatedById()).isEqualTo("update-test-user"); assertThat(updatedSession.lastInteractionTime()).isNull(); + assertThat(updatedSession.queryConfiguration().enableHyde()).isTrue(); + assertThat(updatedSession.queryConfiguration().enableSummaryFilter()).isFalse(); + } + + @Test + void noQueryConfiguration_create() throws JsonProcessingException { + SessionController sessionController = new SessionController(SessionService.createNull()); + var request = new MockHttpServletRequest(); + request.setCookies( + new MockCookie("_basusertoken", UserTokenCookieDecoderTest.encodeCookie("test-user"))); + var sessionName = "test"; + Types.CreateSession input = + TestData.createSessionInstance(sessionName).withQueryConfiguration(null); + var createdSession = sessionController.create(input, request); + assertThat(createdSession.queryConfiguration()).isNotNull(); + assertThat(createdSession.queryConfiguration().enableHyde()).isFalse(); } @Test diff --git a/llm-service/.gitignore b/llm-service/.gitignore index baf7cbc0..6cfe1568 100644 --- a/llm-service/.gitignore +++ b/llm-service/.gitignore @@ -162,4 +162,10 @@ cython_debug/ #.idea/ ./performance_testing/raw_results.csv -./performance_testing/results.csv \ No newline at end of file +./performance_testing/results.csv + +# Mlflow + +mlruns/ + +reconciler/data/ \ No newline at end of file diff --git a/llm-service/app/ai/indexing/readers/base_reader.py b/llm-service/app/ai/indexing/readers/base_reader.py index 4e0c77aa..4e8cf18e 100644 --- a/llm-service/app/ai/indexing/readers/base_reader.py +++ b/llm-service/app/ai/indexing/readers/base_reader.py @@ -1,5 +1,5 @@ -import tempfile import os +import tempfile from abc import ABC, abstractmethod from dataclasses import dataclass, field from pathlib import Path @@ -8,7 +8,7 @@ from detect_secrets.core.secrets_collection import SecretsCollection from detect_secrets.settings import default_settings from llama_index.core.node_parser import SentenceSplitter -from llama_index.core.schema import Document, TextNode +from llama_index.core.schema import Document, TextNode, BaseNode from presidio_analyzer import AnalyzerEngine from presidio_anonymizer import AnonymizerEngine @@ -45,7 +45,7 @@ def __init__( def load_chunks(self, file_path: Path) -> ChunksResult: pass - def _add_document_metadata(self, node: TextNode, file_path: Path) -> None: + def _add_document_metadata(self, node: BaseNode, file_path: Path) -> None: node.metadata["file_name"] = file_path.name node.metadata["document_id"] = self.document_id node.metadata["data_source_id"] = self.data_source_id diff --git a/llm-service/app/ai/indexing/readers/docx.py b/llm-service/app/ai/indexing/readers/docx.py index ada473c6..74d77014 100644 --- a/llm-service/app/ai/indexing/readers/docx.py +++ b/llm-service/app/ai/indexing/readers/docx.py @@ -66,9 +66,9 @@ def load_chunks(self, file_path: Path) -> ChunksResult: anonymized_text = self._anonymize_pii(document_text) if anonymized_text is not None: ret.pii_found = True - document.text = anonymized_text + document.set_content(anonymized_text) - document.text = document_text + document.set_content(document_text) self._add_document_metadata(document, file_path) ret.chunks = self._chunks_in_document(document) diff --git a/llm-service/app/ai/indexing/readers/markdown.py b/llm-service/app/ai/indexing/readers/markdown.py index fdffd13f..24f4758d 100644 --- a/llm-service/app/ai/indexing/readers/markdown.py +++ b/llm-service/app/ai/indexing/readers/markdown.py @@ -37,7 +37,7 @@ # from pathlib import Path -from typing import Any +from typing import Any, cast from llama_index.core.node_parser import MarkdownNodeParser from llama_index.core.schema import TextNode, Document, NodeRelationship @@ -69,24 +69,20 @@ def load_chunks(self, file_path: Path) -> ChunksResult: document = Document(text=content) document.id_ = self.document_id self._add_document_metadata(document, file_path) - # the process here is to do a blind sentence split on the document, then let the markdown - # parser break up the resulting chunks into nodes based on markdown sections. - # There is a chance that doing it the opposite way might lead to better results, but - # we don't know how to know. - chunks_in_document: list[TextNode] = self._chunks_in_document(document) parser = MarkdownNodeParser() - parser.get_nodes_from_documents([document]) + nodes = parser.get_nodes_from_documents([document]) results: list[TextNode] = [] - for chunk in chunks_in_document: - parsed_nodes: list[TextNode] = parser.get_nodes_from_node(chunk) - for node in parsed_nodes: - if not node.text: - continue - self._add_document_metadata(node, file_path) - node.metadata["chunk_format"] = "markdown" - node.relationships.update( + for node in nodes: + node = cast(TextNode, node) + if node.text is None: + continue + texts_nodes: list[TextNode] = self._chunks_in_document(Document(text=node.text, metadata=node.metadata)) + for text_node in texts_nodes: + self._add_document_metadata(text_node, file_path) + text_node.metadata["chunk_format"] = "markdown" + text_node.relationships.update( {NodeRelationship.SOURCE: document.as_related_node_info()} ) - results.append(node) + results.append(text_node) ret.chunks = results return ret diff --git a/llm-service/app/ai/indexing/readers/pptx.py b/llm-service/app/ai/indexing/readers/pptx.py index 96eafe60..df548ee9 100644 --- a/llm-service/app/ai/indexing/readers/pptx.py +++ b/llm-service/app/ai/indexing/readers/pptx.py @@ -39,6 +39,7 @@ from pathlib import Path from typing import Any +from llama_index.core import Document from llama_index.readers.file import PptxReader as LlamaIndexPptxReader from .base_reader import BaseReader, ChunksResult @@ -53,7 +54,7 @@ def load_chunks(self, file_path: Path) -> ChunksResult: documents = self.inner.load_data(file_path) assert len(documents) == 1 - document = documents[0] + document: Document = documents[0] document.id_ = self.document_id document_text = document.text @@ -69,7 +70,7 @@ def load_chunks(self, file_path: Path) -> ChunksResult: ret.pii_found = True document_text = anonymized_text - document.text = document_text + document.set_content(document_text) self._add_document_metadata(document, file_path) ret.chunks = self._chunks_in_document(document) diff --git a/llm-service/app/rag_types.py b/llm-service/app/rag_types.py index a2413d6e..03b6ed84 100644 --- a/llm-service/app/rag_types.py +++ b/llm-service/app/rag_types.py @@ -44,4 +44,3 @@ class RagPredictConfiguration(BaseModel): exclude_knowledge_base: Optional[bool] = False use_question_condensing: Optional[bool] = True - use_hyde: Optional[bool] = False diff --git a/llm-service/app/routers/index/__init__.py b/llm-service/app/routers/index/__init__.py index 4f6c0dea..1cfb5da4 100644 --- a/llm-service/app/routers/index/__init__.py +++ b/llm-service/app/routers/index/__init__.py @@ -44,6 +44,7 @@ from . import sessions from . import amp_metadata from . import models +from . import metrics logger = logging.getLogger(__name__) @@ -55,3 +56,4 @@ # include this for legacy UI calls router.include_router(amp_metadata.router, prefix="/index", deprecated=True) router.include_router(models.router) +router.include_router(metrics.router) diff --git a/llm-service/app/routers/index/data_source/__init__.py b/llm-service/app/routers/index/data_source/__init__.py index 85326d75..41df2006 100644 --- a/llm-service/app/routers/index/data_source/__init__.py +++ b/llm-service/app/routers/index/data_source/__init__.py @@ -27,7 +27,6 @@ # BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF # DATA. # ############################################################################## - import logging import tempfile from http import HTTPStatus @@ -45,8 +44,10 @@ from ....ai.indexing.summary_indexer import SummaryIndexer from ....ai.vector_stores.qdrant import QdrantVectorStore from ....ai.vector_stores.vector_store import VectorStore -from ....services.metadata_apis import data_sources_metadata_api from ....services import document_storage, models +from ....services.metadata_apis import data_sources_metadata_api +from ....services.metadata_apis.data_sources_metadata_api import RagDataSource +from ....services.mlflow import write_mlflow_run_json logger = logging.getLogger(__name__) @@ -62,7 +63,6 @@ class SummarizeDocumentRequest(BaseModel): class RagIndexDocumentConfiguration(BaseModel): - # TODO: Add more params chunk_size: int = 512 # this is llama-index's default chunk_overlap: int = 10 # percentage of tokens in a chunk (chunk_size) @@ -141,6 +141,11 @@ def download_and_index( request: RagIndexDocumentRequest, ) -> None: datasource = data_sources_metadata_api.get_metadata(data_source_id) + self._download_and_index(datasource, doc_id, request) + + def _download_and_index( + self, datasource: RagDataSource, doc_id: str, request: RagIndexDocumentRequest + ) -> None: with tempfile.TemporaryDirectory() as tmpdirname: logger.debug("created temporary directory %s", tmpdirname) doc_storage = document_storage.from_environment() @@ -154,7 +159,7 @@ def download_and_index( if datasource.summarization_model: llm = models.get_llm(datasource.summarization_model) indexer = EmbeddingIndexer( - data_source_id, + datasource.id, splitter=SentenceSplitter( chunk_size=request.configuration.chunk_size, chunk_overlap=int( @@ -167,6 +172,22 @@ def download_and_index( llm=llm, chunks_vector_store=self.chunks_vector_store, ) + write_mlflow_run_json( + f"datasource_{datasource.name}_{datasource.id}", + f"doc_{doc_id}", + { + "params": { + "data_source_id": str(datasource.id), + "embedding_model": datasource.embedding_model, + "summarization_model": datasource.summarization_model, + "chunk_size": str(request.configuration.chunk_size), + "chunk_overlap": str(request.configuration.chunk_overlap), + "file_name": request.original_filename, + "file_size_bytes": str(file_path.stat().st_size), + } + }, + ) + # Delete to avoid duplicates self.chunks_vector_store.delete_document(doc_id) try: diff --git a/llm-service/app/routers/index/metrics/__init__.py b/llm-service/app/routers/index/metrics/__init__.py new file mode 100644 index 00000000..d715d47b --- /dev/null +++ b/llm-service/app/routers/index/metrics/__init__.py @@ -0,0 +1,52 @@ +# +# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) +# (C) Cloudera, Inc. 2024 +# All rights reserved. +# +# Applicable Open Source License: Apache 2.0 +# +# NOTE: Cloudera open source products are modular software products +# made up of hundreds of individual components, each of which was +# individually copyrighted. Each Cloudera open source product is a +# collective work under U.S. Copyright Law. Your license to use the +# collective work is as provided in your written agreement with +# Cloudera. Used apart from the collective work, this file is +# licensed for your use pursuant to the open source license +# identified above. +# +# This code is provided to you pursuant a written agreement with +# (i) Cloudera, Inc. or (ii) a third-party authorized to distribute +# this code. If you do not have a written agreement with Cloudera nor +# with an authorized and properly licensed third party, you do not +# have any rights to access nor to use this code. +# +# Absent a written agreement with Cloudera, Inc. ("Cloudera") to the +# contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY +# KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED +# WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO +# IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND +# FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, +# AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS +# ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE +# OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY +# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR +# CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES +# RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF +# BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF +# DATA. +# +from typing import Optional + +from fastapi import APIRouter + +from app import exceptions +from app.services.metrics import Metrics, generate_metrics, MetricFilter + +router = APIRouter(prefix="/app-metrics", tags=["App Metrics"]) + + +@router.post("", summary="Get metrics for the app.") +@exceptions.propagates +def app_metrics(metric_filter: Optional[MetricFilter] = None) -> Metrics: + metrics = generate_metrics(metric_filter) + return metrics diff --git a/llm-service/app/routers/index/sessions/__init__.py b/llm-service/app/routers/index/sessions/__init__.py index b5ed1bd7..4d13c7c7 100644 --- a/llm-service/app/routers/index/sessions/__init__.py +++ b/llm-service/app/routers/index/sessions/__init__.py @@ -35,19 +35,21 @@ # BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF # DATA. # ############################################################################## -import time -import uuid +import base64 +import json +import logging +from typing import Annotated -from fastapi import APIRouter +from fastapi import APIRouter, Cookie from pydantic import BaseModel from .... import exceptions from ....rag_types import RagPredictConfiguration -from ....services import llm_completion -from ....services.chat import generate_suggested_questions, v2_chat -from ....services.chat_store import ChatHistoryManager, RagStudioChatMessage, RagMessage -from ....services.metadata_apis import session_metadata_api +from ....services.chat import generate_suggested_questions, v2_chat, direct_llm_chat +from ....services.chat_store import ChatHistoryManager, RagStudioChatMessage +from ....services.mlflow import rating_mlflow_log_metric, feedback_mlflow_log_table +logger = logging.getLogger(__name__) router = APIRouter(prefix="/sessions/{session_id}", tags=["Sessions"]) @@ -76,45 +78,74 @@ def delete_chat_history(session_id: int) -> str: return "Chat history deleted." +class ChatResponseRating(BaseModel): + rating: bool + + +@router.post( + "/responses/{response_id}/rating", summary="Provide a rating on a chat response." +) +@exceptions.propagates +def rating( + session_id: int, + response_id: str, + request: ChatResponseRating, +) -> ChatResponseRating: + rating_mlflow_log_metric(request.rating, response_id, session_id) + return ChatResponseRating(rating=request.rating) + + +class ChatResponseFeedback(BaseModel): + feedback: str + + +@router.post( + "/responses/{response_id}/feedback", summary="Provide feedback on a chat response." +) +@exceptions.propagates +def feedback( + session_id: int, + response_id: str, + request: ChatResponseFeedback, +) -> ChatResponseFeedback: + feedback_mlflow_log_table(request.feedback, response_id, session_id) + return ChatResponseFeedback(feedback=request.feedback) + + class RagStudioChatRequest(BaseModel): query: str configuration: RagPredictConfiguration | None = None +def parse_jwt_cookie(jwt_cookie: str | None) -> str: + if jwt_cookie is None: + return "unknown" + try: + cookie_crumbs = jwt_cookie.strip().split(".") + if len(cookie_crumbs) != 3: + return "unknown" + base_64_user_info = cookie_crumbs[1] + user_info_json = base64.b64decode(base_64_user_info + "===") + user_info = json.loads(user_info_json) + return str(user_info["username"]) + except Exception: + logger.exception("Failed to parse JWT cookie") + return "unknown" + + @router.post("/chat", summary="Chat with your documents in the requested datasource") @exceptions.propagates def chat( session_id: int, request: RagStudioChatRequest, + _basusertoken: Annotated[str | None, Cookie()] = None, ) -> RagStudioChatMessage: + user_name = parse_jwt_cookie(_basusertoken) + configuration = request.configuration or RagPredictConfiguration() if configuration.exclude_knowledge_base: - return llm_talk(session_id, request.query) - return v2_chat(session_id, request.query, configuration) - - -def llm_talk( - session_id: int, - query: str, -) -> RagStudioChatMessage: - session = session_metadata_api.get_session(session_id) - chat_response = llm_completion.completion( - session_id, query, session.inference_model - ) - new_chat_message = RagStudioChatMessage( - id=str(uuid.uuid4()), - source_nodes=[], - inference_model=session.inference_model, - evaluations=[], - rag_message=RagMessage( - user=query, - assistant=str(chat_response.message.content), - ), - timestamp=time.time(), - condensed_question=None - ) - ChatHistoryManager().append_to_history(session_id, [new_chat_message]) - return new_chat_message + return direct_llm_chat(session_id, request.query, user_name) + return v2_chat(session_id, request.query, configuration, user_name) class RagSuggestedQuestionsResponse(BaseModel): diff --git a/llm-service/app/services/caii/CaiiModel.py b/llm-service/app/services/caii/CaiiModel.py index 20e44b5b..a3917152 100644 --- a/llm-service/app/services/caii/CaiiModel.py +++ b/llm-service/app/services/caii/CaiiModel.py @@ -35,9 +35,9 @@ # BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF # DATA. # -from typing import Callable, Dict, Sequence +from typing import Callable, Dict, Sequence, Any -from llama_index.core.base.llms.types import ChatMessage, LLMMetadata +from llama_index.core.base.llms.types import ChatMessage, LLMMetadata, ChatResponse, CompletionResponse from llama_index.llms.mistralai.base import MistralAI from llama_index.llms.openai import OpenAI from pydantic import Field @@ -79,6 +79,36 @@ def metadata(self) -> LLMMetadata: model_name=self.model, ) +class DeepseekModel(CaiiModel): + def __init__( + self, + model: str, + context: int, + api_base: str, + messages_to_prompt: Callable[[Sequence[ChatMessage]], str], + completion_to_prompt: Callable[[str], str], + default_headers: Dict[str, str], + ): + super().__init__( + model=model, + api_base=api_base, + messages_to_prompt=messages_to_prompt, + completion_to_prompt=completion_to_prompt, + default_headers=default_headers, + context=context, + ) + + def complete(self, prompt: str, formatted: bool = False, **kwargs: Any) -> CompletionResponse: + completion: CompletionResponse = super().complete(prompt, formatted, **kwargs) + completion.text = completion.text.split("")[-1] + return completion + + def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: + raw_response: ChatResponse = super().chat(messages, **kwargs) + content: str = raw_response.message.content or "" + raw_response.message.content = content.split("")[-1] + return raw_response + class CaiiModelMistral(MistralAI): def __init__( diff --git a/llm-service/app/services/caii/caii.py b/llm-service/app/services/caii/caii.py index fd7af5cf..60244960 100644 --- a/llm-service/app/services/caii/caii.py +++ b/llm-service/app/services/caii/caii.py @@ -45,11 +45,13 @@ from llama_index.core.base.embeddings.base import BaseEmbedding from llama_index.core.base.llms.types import ChatMessage from llama_index.core.llms import LLM +from llama_index.core.postprocessor.types import BaseNodePostprocessor from .CaiiEmbeddingModel import CaiiEmbeddingModel -from .CaiiModel import CaiiModel, CaiiModelMistral +from .CaiiModel import CaiiModel, CaiiModelMistral, DeepseekModel +from .caii_reranking import CaiiRerankingModel from .types import Endpoint, ListEndpointEntry, ModelResponse -from .utils import build_auth_headers +from .utils import build_auth_headers, get_caii_access_token DEFAULT_NAMESPACE = "serving-default" @@ -86,6 +88,17 @@ def list_endpoints() -> list[ListEndpointEntry]: ) +def get_reranking_model(model_name: str, top_n: int) -> BaseNodePostprocessor: + endpoint = describe_endpoint(endpoint_name=model_name) + token = get_caii_access_token() + return CaiiRerankingModel( + model=endpoint.model_name, + base_url=endpoint.url.removesuffix("/ranking"), + api_key=token, + top_n=top_n, + ) + + def get_llm( endpoint_name: str, messages_to_prompt: Callable[[Sequence[ChatMessage]], str], @@ -96,8 +109,18 @@ def get_llm( headers = build_auth_headers() model = endpoint.model_name + if "deepseek" in endpoint_name.lower(): + return DeepseekModel( + model=model, + context=128000, + messages_to_prompt=messages_to_prompt, + completion_to_prompt=completion_to_prompt, + api_base=api_base, + default_headers=headers, + ) + if "mistral" in endpoint_name.lower(): - llm = CaiiModelMistral( + return CaiiModelMistral( model=model, messages_to_prompt=messages_to_prompt, completion_to_prompt=completion_to_prompt, @@ -107,7 +130,7 @@ def get_llm( ) else: - llm = CaiiModel( + return CaiiModel( model=model, context=128000, messages_to_prompt=messages_to_prompt, @@ -116,8 +139,6 @@ def get_llm( default_headers=headers, ) - return llm - def get_embedding_model(model_name: str) -> BaseEmbedding: endpoint_name = model_name @@ -139,6 +160,8 @@ def get_embedding_model(model_name: str) -> BaseEmbedding: def get_caii_llm_models() -> List[ModelResponse]: return get_models_with_task("TEXT_GENERATION") +def get_caii_reranking_models() -> List[ModelResponse]: + return get_models_with_task("RANK") def get_caii_embedding_models() -> List[ModelResponse]: return get_models_with_task("EMBED") diff --git a/llm-service/app/services/caii/caii_reranking.py b/llm-service/app/services/caii/caii_reranking.py new file mode 100644 index 00000000..458f9951 --- /dev/null +++ b/llm-service/app/services/caii/caii_reranking.py @@ -0,0 +1,81 @@ +# +# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) +# (C) Cloudera, Inc. 2024 +# All rights reserved. +# +# Applicable Open Source License: Apache 2.0 +# +# NOTE: Cloudera open source products are modular software products +# made up of hundreds of individual components, each of which was +# individually copyrighted. Each Cloudera open source product is a +# collective work under U.S. Copyright Law. Your license to use the +# collective work is as provided in your written agreement with +# Cloudera. Used apart from the collective work, this file is +# licensed for your use pursuant to the open source license +# identified above. +# +# This code is provided to you pursuant a written agreement with +# (i) Cloudera, Inc. or (ii) a third-party authorized to distribute +# this code. If you do not have a written agreement with Cloudera nor +# with an authorized and properly licensed third party, you do not +# have any rights to access nor to use this code. +# +# Absent a written agreement with Cloudera, Inc. ("Cloudera") to the +# contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY +# KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED +# WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO +# IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND +# FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, +# AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS +# ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE +# OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY +# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR +# CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES +# RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF +# BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF +# DATA. +# +from typing import Optional, Any + +# +# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) +# (C) Cloudera, Inc. 2024 +# All rights reserved. +# +# Applicable Open Source License: Apache 2.0 +# +# +# This code is provided to you pursuant a written agreement with +# (i) Cloudera, Inc. or (ii) a third-party authorized to distribute +# this code. If you do not have a written agreement with Cloudera nor +# with an authorized and properly licensed third party, you do not +# have any rights to access nor to use this code. +# +# Absent a written agreement with Cloudera, Inc. ("Cloudera") to the +# contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY +# KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED +# WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO +# IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND +# FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, +# AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS +# ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE +# OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY +# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR +# CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES +# RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF +# BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF +# DATA. +# +from llama_index.postprocessor.nvidia_rerank import NVIDIARerank + + +class CaiiRerankingModel(NVIDIARerank): + def __init__(self, model: Optional[str] = None, nvidia_api_key: Optional[str] = None, api_key: Optional[str] = None, + base_url: Optional[str] = None, **kwargs: Any): + super().__init__(model, nvidia_api_key, api_key, base_url, truncate="END", **kwargs) + + def _validate_url(self, base_url: str) -> str: + return base_url + + def _validate_model(self, model_name: str) -> None: + pass \ No newline at end of file diff --git a/llm-service/app/services/chat.py b/llm-service/app/services/chat.py index 1a71783b..314901a6 100644 --- a/llm-service/app/services/chat.py +++ b/llm-service/app/services/chat.py @@ -35,18 +35,15 @@ # BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF # DATA. # ############################################################################## - import time import uuid -from collections.abc import Iterator -from typing import List +from typing import List, Iterable from fastapi import HTTPException from llama_index.core.base.llms.types import MessageRole from llama_index.core.chat_engine.types import AgentChatResponse -from . import evaluators -from .query import querier +from . import evaluators, llm_completion from .chat_store import ( ChatHistoryManager, Evaluation, @@ -56,15 +53,16 @@ RagMessage, ) from .metadata_apis import session_metadata_api +from .metadata_apis.session_metadata_api import Session +from .mlflow import record_rag_mlflow_run, record_direct_llm_mlflow_run +from .query import querier from .query.query_configuration import QueryConfiguration from ..ai.vector_stores.qdrant import QdrantVectorStore from ..rag_types import RagPredictConfiguration def v2_chat( - session_id: int, - query: str, - configuration: RagPredictConfiguration, + session_id: int, query: str, configuration: RagPredictConfiguration, user_name: str ) -> RagStudioChatMessage: session = session_metadata_api.get_session(session_id) query_configuration = QueryConfiguration( @@ -73,11 +71,26 @@ def v2_chat( rerank_model_name=session.rerank_model, exclude_knowledge_base=configuration.exclude_knowledge_base, use_question_condensing=configuration.use_question_condensing, - use_hyde=configuration.use_hyde, + use_hyde=session.query_configuration.enable_hyde, + use_summary_filter=session.query_configuration.enable_summary_filter, ) - response_id = str(uuid.uuid4()) + new_chat_message: RagStudioChatMessage = _run_chat( + session, response_id, query, query_configuration, user_name + ) + + ChatHistoryManager().append_to_history(session_id, [new_chat_message]) + return new_chat_message + + +def _run_chat( + session: Session, + response_id: str, + query: str, + query_configuration: QueryConfiguration, + user_name: str, +) -> RagStudioChatMessage: if len(session.data_source_ids) != 1: raise HTTPException( status_code=400, detail="Only one datasource is supported for chat." @@ -95,14 +108,13 @@ def v2_chat( ), evaluations=[], timestamp=time.time(), - condensed_question=None + condensed_question=None, ) - response, condensed_question = querier.query( data_source_id, query, query_configuration, - retrieve_chat_history(session_id), + retrieve_chat_history(session.id), ) if condensed_question and (condensed_question.strip() == query.strip()): condensed_question = None @@ -125,7 +137,10 @@ def v2_chat( timestamp=time.time(), condensed_question=condensed_question, ) - ChatHistoryManager().append_to_history(session_id, [new_chat_message]) + + record_rag_mlflow_run( + new_chat_message, query_configuration, response_id, session, user_name + ) return new_chat_message @@ -230,7 +245,7 @@ def process_response(response: str | None) -> list[str]: if response is None: return [] - sentences: Iterator[str] = response.splitlines() + sentences: Iterable[str] = response.splitlines() sentences = map(lambda x: x.strip(), sentences) sentences = map(lambda x: x.removeprefix("*").strip(), sentences) sentences = map(lambda x: x.removeprefix("-").strip(), sentences) @@ -239,3 +254,29 @@ def process_response(response: str | None) -> list[str]: sentences = filter(lambda x: x != "Empty Response", sentences) sentences = filter(lambda x: x != "", sentences) return list(sentences)[:5] + + +def direct_llm_chat( + session_id: int, query: str, user_name: str +) -> RagStudioChatMessage: + session = session_metadata_api.get_session(session_id) + response_id = str(uuid.uuid4()) + record_direct_llm_mlflow_run(response_id, session, user_name) + + chat_response = llm_completion.completion( + session_id, query, session.inference_model + ) + new_chat_message = RagStudioChatMessage( + id=response_id, + source_nodes=[], + inference_model=session.inference_model, + evaluations=[], + rag_message=RagMessage( + user=query, + assistant=str(chat_response.message.content), + ), + timestamp=time.time(), + condensed_question=None, + ) + ChatHistoryManager().append_to_history(session_id, [new_chat_message]) + return new_chat_message diff --git a/llm-service/app/services/llama_utils.py b/llm-service/app/services/llama_utils.py index 734b2e9e..ed8b3ad7 100644 --- a/llm-service/app/services/llama_utils.py +++ b/llm-service/app/services/llama_utils.py @@ -146,10 +146,11 @@ def mistralv2_messages_to_prompt(messages: Sequence[ChatMessage]) -> str: raise Exception( "HFI Conversation roles must alternate user/assistant/user/assistant/..." ) + message_content: str = message.content if index == 0 and system_message is not None: - content = "<>\n" + system_message + "\n<>\n\n" + message.content + content = "<>\n" + system_message + "\n<>\n\n" + message_content else: - content = message.content + content = message_content if message.role == MessageRole.USER: conversation += bos_token + "[INST] " + content.strip() + " [/INST]" elif message.role == MessageRole.ASSISTANT: diff --git a/llm-service/app/services/metadata_apis/app_metrics_api.py b/llm-service/app/services/metadata_apis/app_metrics_api.py new file mode 100644 index 00000000..d870eb8d --- /dev/null +++ b/llm-service/app/services/metadata_apis/app_metrics_api.py @@ -0,0 +1,61 @@ +# +# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) +# (C) Cloudera, Inc. 2024 +# All rights reserved. +# +# Applicable Open Source License: Apache 2.0 +# +# NOTE: Cloudera open source products are modular software products +# made up of hundreds of individual components, each of which was +# individually copyrighted. Each Cloudera open source product is a +# collective work under U.S. Copyright Law. Your license to use the +# collective work is as provided in your written agreement with +# Cloudera. Used apart from the collective work, this file is +# licensed for your use pursuant to the open source license +# identified above. +# +# This code is provided to you pursuant a written agreement with +# (i) Cloudera, Inc. or (ii) a third-party authorized to distribute +# this code. If you do not have a written agreement with Cloudera nor +# with an authorized and properly licensed third party, you do not +# have any rights to access nor to use this code. +# +# Absent a written agreement with Cloudera, Inc. ("Cloudera") to the +# contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY +# KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED +# WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO +# IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND +# FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, +# AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS +# ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE +# OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY +# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR +# CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES +# RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF +# BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF +# DATA. +# +import os + +import requests +from pydantic import BaseModel + +BACKEND_BASE_URL = os.getenv("API_URL", "http://localhost:8080") +metrics_url = BACKEND_BASE_URL + "/api/v1/rag/metrics" + + +class MetadataMetrics(BaseModel): + number_of_data_sources: int + number_of_documents: int + number_of_sessions: int + + +def get_metadata_metrics() -> MetadataMetrics: + response = requests.get(metrics_url) + response.raise_for_status() + data = response.json() + return MetadataMetrics( + number_of_data_sources=data["numberOfDataSources"], + number_of_documents=data["numberOfDocuments"], + number_of_sessions=data["numberOfSessions"], + ) diff --git a/llm-service/app/services/metadata_apis/session_metadata_api.py b/llm-service/app/services/metadata_apis/session_metadata_api.py index aec1906b..5313d36a 100644 --- a/llm-service/app/services/metadata_apis/session_metadata_api.py +++ b/llm-service/app/services/metadata_apis/session_metadata_api.py @@ -43,6 +43,12 @@ import requests +@dataclass +class SessionQueryConfiguration: + enable_hyde: bool + enable_summary_filter: bool + + @dataclass class Session: id: int @@ -55,6 +61,7 @@ class Session: inference_model: str rerank_model: str response_chunks: int + query_configuration: SessionQueryConfiguration BACKEND_BASE_URL = os.getenv("API_URL", "http://localhost:8080") @@ -76,4 +83,8 @@ def get_session(session_id: int) -> Session: inference_model=data["inferenceModel"], rerank_model=data["rerankModel"], response_chunks=data["responseChunks"], + query_configuration=SessionQueryConfiguration( # TODO: automatically parse a dict into the dataclass? + enable_hyde=data["queryConfiguration"]["enableHyde"], + enable_summary_filter=data["queryConfiguration"]["enableSummaryFilter"], + ), ) diff --git a/llm-service/app/services/metrics.py b/llm-service/app/services/metrics.py new file mode 100644 index 00000000..af5fb80c --- /dev/null +++ b/llm-service/app/services/metrics.py @@ -0,0 +1,264 @@ +# +# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) +# (C) Cloudera, Inc. 2024 +# All rights reserved. +# +# Applicable Open Source License: Apache 2.0 +# +# NOTE: Cloudera open source products are modular software products +# made up of hundreds of individual components, each of which was +# individually copyrighted. Each Cloudera open source product is a +# collective work under U.S. Copyright Law. Your license to use the +# collective work is as provided in your written agreement with +# Cloudera. Used apart from the collective work, this file is +# licensed for your use pursuant to the open source license +# identified above. +# +# This code is provided to you pursuant a written agreement with +# (i) Cloudera, Inc. or (ii) a third-party authorized to distribute +# this code. If you do not have a written agreement with Cloudera nor +# with an authorized and properly licensed third party, you do not +# have any rights to access nor to use this code. +# +# Absent a written agreement with Cloudera, Inc. ("Cloudera") to the +# contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY +# KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED +# WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO +# IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND +# FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, +# AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS +# ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE +# OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY +# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR +# CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES +# RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF +# BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF +# DATA. +# +import json +import pathlib +from collections import Counter +from typing import Optional + +import mlflow +import pandas as pd +from mlflow.entities import Run, FileInfo +from pydantic import BaseModel + +from app.services.metadata_apis import app_metrics_api +from app.services.metadata_apis.app_metrics_api import MetadataMetrics + +STANDARD_FEEDBACK = [ + "Inaccurate", + "Not helpful", + "Out of date", + "Too short", + "Too long", +] + + +class Metrics(BaseModel): + positive_ratings: int + negative_ratings: int + no_ratings: int + count_of_interactions: int + count_of_direct_interactions: int + aggregated_feedback: dict[str, int] + unique_users: int + max_score_over_time: list[tuple[float, float]] + input_word_count_over_time: list[tuple[float, int]] + output_word_count_over_time: list[tuple[float, int]] + evaluation_averages: dict[str, float] + metadata_metrics: MetadataMetrics + + +class MetricFilter(BaseModel): + data_source_id: Optional[int] = None + inference_model: Optional[str] = None + rerank_model: Optional[str] = None + has_rerank_model: Optional[bool] = None + top_k: Optional[int] = None + session_id: Optional[int] = None + use_summary_filter: Optional[bool] = None + use_hyde: Optional[bool] = None + use_question_condensing: Optional[bool] = None + exclude_knowledge_base: Optional[bool] = None + + +def filter_runs(metric_filter: MetricFilter) -> list[Run]: + experiments = mlflow.search_experiments() + runs: list[Run] = [] + for experiment in experiments: + # skip the experiments from indexing jobs + if experiment.name.startswith("datasource"): + continue + experiment_runs = mlflow.search_runs( + experiment_ids=[experiment.experiment_id], output_format="list" + ) + for run in experiment_runs: + runs.append(run) + + return get_relevant_runs(metric_filter, runs) + + +def get_relevant_runs(metric_filter: MetricFilter, runs: list[Run]) -> list[Run]: + def filter_by_parameters(r: Run) -> bool: + data_source_ids = r.data.params.get("data_source_ids", "[]") + # no data_source_ids means it is probably a run from indexing, rather than chat. + if data_source_ids == "[]": + return False + + if metric_filter.data_source_id: + if metric_filter.data_source_id not in json.loads(data_source_ids): + return False + if metric_filter.inference_model: + if not metric_filter.inference_model == r.data.params.get( + "inference_model" + ): + return False + # TODO: what if has_rerank_model=False but rerank_model has a value? + if metric_filter.rerank_model: + if not metric_filter.rerank_model == r.data.params.get("rerank_model_name"): + return False + if metric_filter.top_k is not None: + if not str(metric_filter.top_k) == r.data.params.get("top_k"): + return False + if metric_filter.session_id: + if not str(metric_filter.session_id) == r.data.params.get("session_id"): + return False + if metric_filter.use_summary_filter is not None: + if not str(metric_filter.use_summary_filter) == r.data.params.get( + "use_summary_filter" + ): + return False + if metric_filter.use_hyde is not None: + if not str(metric_filter.use_hyde) == r.data.params.get("use_hyde"): + return False + if metric_filter.use_question_condensing is not None: + if not str(metric_filter.use_question_condensing) == r.data.params.get( + "use_question_condensing" + ): + return False + if metric_filter.exclude_knowledge_base is not None: + if not str(metric_filter.exclude_knowledge_base) == r.data.params.get( + "exclude_knowledge_base" + ): + return False + if metric_filter.has_rerank_model is not None: + if metric_filter.has_rerank_model: + if r.data.params.get("rerank_model_name") is None: + return False + else: + if r.data.params.get("rerank_model_name") is not None: + return False + return True + + return list( + filter( + filter_by_parameters, + runs, + ) + ) + + +def generate_metrics(metric_filter: Optional[MetricFilter] = None) -> Metrics: + if metric_filter is None: + metric_filter = MetricFilter() + + metadata_metrics = app_metrics_api.get_metadata_metrics() + + relevant_runs = filter_runs(metric_filter) + positive_ratings = len( + list(filter(lambda r: r.data.metrics.get("rating", 0) > 0, relevant_runs)) + ) + negative_ratings = len( + list(filter(lambda r: r.data.metrics.get("rating", 0) < 0, relevant_runs)) + ) + no_ratings = len( + list(filter(lambda r: r.data.metrics.get("rating", 0) == 0, relevant_runs)) + ) + run: Run + scores: list[float] = list() + feedback_entries: list[str] = list() + unique_users = len( + set(map(lambda r: r.data.params.get("user_name", "unknown"), relevant_runs)) + ) + count_of_direct_interactions = 0 + max_score_over_time: list[tuple[float, float]] = [] + input_word_count_over_time: list[tuple[float, int]] = [] + output_word_count_over_time: list[tuple[float, int]] = [] + faithfulness_total = 0 + relevance_total = 0 + for run in relevant_runs: + base_artifact_uri: str = run.info.artifact_uri + artifacts: list[FileInfo] = mlflow.artifacts.list_artifacts(base_artifact_uri) + if run.data.tags.get("direct_llm") == "True": + count_of_direct_interactions += 1 + + max_score_over_time.append( + (run.info.start_time, run.data.metrics.get("max_score", 0)) + ) + input_word_count_over_time.append( + (run.info.start_time, run.data.metrics.get("input_word_count", 0)) + ) + output_word_count_over_time.append( + (run.info.start_time, run.data.metrics.get("output_word_count", 0)) + ) + faithfulness_total += run.data.metrics.get("faithfulness", 0) + relevance_total += run.data.metrics.get("relevance", 0) + + artifact: FileInfo + for artifact in artifacts: + ## get the last segment of the path + name = pathlib.Path(artifact.path).name + if name == "response_details.json": + df = load_dataframe_from_artifact(base_artifact_uri, name) + if "score" in df.columns: + scores.extend(df["score"].to_list()) + if name == "feedback.json": + df = load_dataframe_from_artifact(base_artifact_uri, name) + if "feedback" in df.columns: + feedback_entries.extend(df["feedback"].to_list()) + + cleaned_feedback = list( + map( + lambda feedback: feedback if feedback in STANDARD_FEEDBACK else "Other", + feedback_entries, + ) + ) + count_of_interactions = len(relevant_runs) if len(relevant_runs) else 0 + count_of_rag_interactions = count_of_interactions - count_of_direct_interactions + faithfulness = ( + (faithfulness_total / count_of_rag_interactions) + if count_of_rag_interactions + else 0 + ) + relevance = ( + (relevance_total / count_of_rag_interactions) + if count_of_rag_interactions + else 0 + ) + + return Metrics( + positive_ratings=positive_ratings, + negative_ratings=negative_ratings, + no_ratings=no_ratings, + count_of_interactions=count_of_interactions, + count_of_direct_interactions=count_of_direct_interactions, + aggregated_feedback=(dict(Counter(cleaned_feedback))), + unique_users=unique_users, + max_score_over_time=max_score_over_time, + input_word_count_over_time=input_word_count_over_time, + output_word_count_over_time=output_word_count_over_time, + evaluation_averages={ + "faithfulness": faithfulness, + "relevance": relevance, + }, + metadata_metrics=metadata_metrics, + ) + + +def load_dataframe_from_artifact(uri: str, name: str) -> pd.DataFrame: + artifact_loc = uri + "/" + name + data = mlflow.artifacts.load_text(artifact_loc) + return pd.read_json(data, orient="split") diff --git a/llm-service/app/services/mlflow/__init__.py b/llm-service/app/services/mlflow/__init__.py new file mode 100644 index 00000000..901840a9 --- /dev/null +++ b/llm-service/app/services/mlflow/__init__.py @@ -0,0 +1,207 @@ +# +# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) +# (C) Cloudera, Inc. 2024 +# All rights reserved. +# +# Applicable Open Source License: Apache 2.0 +# +# NOTE: Cloudera open source products are modular software products +# made up of hundreds of individual components, each of which was +# individually copyrighted. Each Cloudera open source product is a +# collective work under U.S. Copyright Law. Your license to use the +# collective work is as provided in your written agreement with +# Cloudera. Used apart from the collective work, this file is +# licensed for your use pursuant to the open source license +# identified above. +# +# This code is provided to you pursuant a written agreement with +# (i) Cloudera, Inc. or (ii) a third-party authorized to distribute +# this code. If you do not have a written agreement with Cloudera nor +# with an authorized and properly licensed third party, you do not +# have any rights to access nor to use this code. +# +# Absent a written agreement with Cloudera, Inc. ("Cloudera") to the +# contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY +# KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED +# WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO +# IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND +# FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, +# AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS +# ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE +# OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY +# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR +# CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES +# RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF +# BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF +# DATA. +# +import json +import os +import re +from datetime import datetime +from typing import Any + +import mlflow +from mlflow.entities import Experiment, Run + +from app.services.chat_store import RagStudioChatMessage, RagPredictSourceNode +from app.services.metadata_apis import data_sources_metadata_api, session_metadata_api +from app.services.metadata_apis.session_metadata_api import Session +from app.services.query.query_configuration import QueryConfiguration + +# mypy: disable-error-code="no-untyped-call" + + +def chat_log_ml_flow_table(message: RagStudioChatMessage) -> dict[str, Any]: + source_nodes: list[RagPredictSourceNode] = message.source_nodes + + query = message.rag_message.user + response = message.rag_message.assistant + + flattened_nodes = [node.model_dump() for node in source_nodes] + return { + "data": { + "response_id": message.id, + "node_id": list(map(lambda x: x.get("node_id"), flattened_nodes)), + "doc_id": list(map(lambda x: x.get("doc_id"), flattened_nodes)), + "source_file_name": list( + map(lambda x: x.get("source_file_name"), flattened_nodes) + ), + "score": list(map(lambda x: x.get("score"), flattened_nodes)), + "query": query, + "response": response, + "input_word_count": len(re.findall(r"\w+", query)), + "output_word_count": len(re.findall(r"\w+", response)), + "condensed_question": message.condensed_question, + }, + "artifact_file": "response_details.json", + } + + +def chat_log_ml_flow_params( + session: Session, query_configuration: QueryConfiguration, user_name: str +) -> dict[str, Any]: + data_source_metadata = data_sources_metadata_api.get_metadata( + session.data_source_ids[0] + ) + return { + "top_k": query_configuration.top_k, + "inference_model": query_configuration.model_name, + "rerank_model_name": query_configuration.rerank_model_name, + "exclude_knowledge_base": query_configuration.exclude_knowledge_base, + "use_question_condensing": query_configuration.use_question_condensing, + "use_hyde": query_configuration.use_hyde, + "use_summary_filter": query_configuration.use_summary_filter, + "session_id": session.id, + "data_source_ids": session.data_source_ids, + "user_name": user_name, + "embedding_model": data_source_metadata.embedding_model, + "chunk_size": data_source_metadata.chunk_size, + "summarization_model": data_source_metadata.summarization_model, + "chunk_overlap_percent": data_source_metadata.chunk_overlap_percent, + } + + +def record_rag_mlflow_run( + new_chat_message: RagStudioChatMessage, + query_configuration: QueryConfiguration, + response_id: str, + session: Session, + user_name: str, +) -> None: + params = chat_log_ml_flow_params(session, query_configuration, user_name) + source_nodes: list[RagPredictSourceNode] = new_chat_message.source_nodes + metrics: dict[str, Any] = { + "source_nodes_count": len(source_nodes), + "max_score": (source_nodes[0].score if source_nodes else 0.0), + **{ + evaluation.name: evaluation.value + for evaluation in new_chat_message.evaluations + }, + } + + write_mlflow_run_json( + experiment_name=f"session_{session.name}_{session.id}", + run_name=f"{response_id}", + data={ + "params": params, + "tags": { + "response_id": response_id, + }, + "metrics": metrics, + "table": chat_log_ml_flow_table(new_chat_message), + }, + ) + + +def record_direct_llm_mlflow_run( + response_id: str, session: Session, user_name: str +) -> None: + write_mlflow_run_json( + f"session_{session.name}_{session.id}", + f"{response_id}", + { + "params": { + "inference_model": session.inference_model, + "exclude_knowledge_base": True, + "session_id": session.id, + "data_source_ids": session.data_source_ids, + "user_name": user_name, + }, + "tags": { + "response_id": response_id, + "direct_llm": True, + }, + }, + ) + + +def write_mlflow_run_json( + experiment_name: str, run_name: str, data: dict[str, Any] +) -> None: + contents = { + "experiment_name": experiment_name, + "run_name": run_name, + "status": "pending", + "created_at": datetime.now().timestamp(), + **data, + } + with open( + f"{os.environ['MLFLOW_RECONCILER_DATA_PATH']}/{experiment_name}-{run_name}.json", + "w", + ) as f: + json.dump(contents, f) + + +def rating_mlflow_log_metric(rating: bool, response_id: str, session_id: int) -> None: + session = session_metadata_api.get_session(session_id) + experiment: Experiment = mlflow.set_experiment( + experiment_name=f"session_{session.name}_{session.id}" + ) + runs: list[Run] = mlflow.search_runs( + [experiment.experiment_id], + filter_string=f"tags.response_id='{response_id}'", + output_format="list", + ) + + for run in runs: + value: int = 1 if rating else -1 + mlflow.log_metric("rating", value, run_id=run.info.run_id) + + +def feedback_mlflow_log_table(feedback: str, response_id: str, session_id: int) -> None: + session = session_metadata_api.get_session(session_id) + experiment: Experiment = mlflow.set_experiment( + experiment_name=f"session_{session.name}_{session.id}" + ) + runs: list[Run] = mlflow.search_runs( + [experiment.experiment_id], + filter_string=f"tags.response_id='{response_id}'", + output_format="list", + ) + for run in runs: + mlflow.log_table( + data={"feedback": feedback}, + artifact_file="feedback.json", + run_id=run.info.run_id, + ) diff --git a/llm-service/app/services/models.py b/llm-service/app/services/models.py index 34cf129e..2420991c 100644 --- a/llm-service/app/services/models.py +++ b/llm-service/app/services/models.py @@ -49,8 +49,13 @@ from llama_index.llms.bedrock_converse import BedrockConverse from llama_index.postprocessor.bedrock_rerank import AWSBedrockRerank -from .caii.caii import get_caii_embedding_models, get_caii_llm_models +from .caii.caii import ( + get_caii_embedding_models, + get_caii_llm_models, + get_caii_reranking_models, +) from .caii.caii import get_embedding_model as caii_embedding +from .caii.caii import get_reranking_model as caii_reranking from .caii.caii import get_llm as caii_llm from .caii.types import ModelResponse from .llama_utils import completion_to_prompt, messages_to_prompt @@ -75,21 +80,7 @@ def get_reranking_model( if model_name is None: return SimpleReranker(top_n=top_n) if is_caii_enabled(): - # base_url = "https://caii-prod-long-running.eng-ml-l.vnu8-sqze.cloudera.site/namespaces/serving-default/endpoints/mistral-4b-rerank-l40s/v1/ranking" - # - # NVIDIARerank._validate_url = lambda self, url: url - # - # NVIDIARerank._get_models = lambda self: [] - # - # token = get_caii_access_token() - # print(f"Using NVIDIA Rerank with token: {token}") - # return NVIDIARerank( - # base_url=base_url, - # api_key=token, - # top_n=5, - # is_hosted=False - # ) - return None + return caii_reranking(model_name, top_n) return AWSBedrockRerank(rerank_model_name=model_name, top_n=top_n) @@ -135,7 +126,7 @@ def get_available_llm_models() -> list[ModelResponse]: def get_available_rerank_models() -> List[ModelResponse]: if is_caii_enabled(): - return [] + return get_caii_reranking_models() return [ ModelResponse(model_id=DEFAULT_BEDROCK_RERANK_MODEL, name="Cohere Rerank v3.5"), ModelResponse(model_id="amazon.rerank-v1:0", name="Amazon Rerank v1"), diff --git a/llm-service/app/services/query/flexible_retriever.py b/llm-service/app/services/query/flexible_retriever.py index 203d672f..76eed14e 100644 --- a/llm-service/app/services/query/flexible_retriever.py +++ b/llm-service/app/services/query/flexible_retriever.py @@ -82,9 +82,11 @@ def _retrieve(self, query_bundle: QueryBundle) -> list[NodeWithScore]: logger.debug(f"result_nodes: {len(result_nodes)}") for node in sorted(result_nodes, key=lambda n: n.node.node_id): - logger.debug(node.node.node_id, node.node.metadata["document_id"], node.score) + logger.debug( + node.node.node_id, node.node.metadata["document_id"], node.score + ) - if summarization_model is not None: + if summarization_model is not None and self.configuration.use_summary_filter: # add a filter to the retriever with the resulting document ids. doc_ids = self._filter_doc_ids_by_summary(query_bundle.query_str) if doc_ids: @@ -97,7 +99,9 @@ def _retrieve(self, query_bundle: QueryBundle) -> list[NodeWithScore]: result_nodes.extend(simple_retriever.retrieve(query_bundle)) logger.debug(f"result_nodes(2): {len(result_nodes)}") for node in sorted(result_nodes, key=lambda n: n.node.node_id): - logger.debug(node.node.node_id, node.node.metadata["document_id"], node.score) + logger.debug( + node.node.node_id, node.node.metadata["document_id"], node.score + ) return result_nodes def _filter_doc_ids_by_summary(self, query_str: str) -> list[str] | None: diff --git a/llm-service/app/services/query/query_configuration.py b/llm-service/app/services/query/query_configuration.py index 1ce5ef95..8a5e6b53 100644 --- a/llm-service/app/services/query/query_configuration.py +++ b/llm-service/app/services/query/query_configuration.py @@ -52,4 +52,5 @@ class QueryConfiguration(BaseModel): exclude_knowledge_base: Optional[bool] = False use_question_condensing: Optional[bool] = True use_hyde: Optional[bool] = False + use_summary_filter: Optional[bool] = True use_postprocessor: Optional[bool] = True diff --git a/llm-service/app/tests/conftest.py b/llm-service/app/tests/conftest.py index 1f65fe94..1c1bd7d8 100644 --- a/llm-service/app/tests/conftest.py +++ b/llm-service/app/tests/conftest.py @@ -83,6 +83,15 @@ def use_local_storage(monkeypatch: pytest.MonkeyPatch) -> None: monkeypatch.setenv("S3_RAG_DOCUMENT_BUCKET", "") +@pytest.fixture(autouse=True) +def use_mlflow_reconciler_data_path( + monkeypatch: pytest.MonkeyPatch, tmp_path: pathlib.Path +) -> None: + mlflow_dir = tmp_path / "mlflow-run-data" + mlflow_dir.mkdir() + monkeypatch.setenv("MLFLOW_RECONCILER_DATA_PATH", str(mlflow_dir)) + + @pytest.fixture def document_id(index_document_request_body: dict[str, Any]) -> str: return cast(str, index_document_request_body["s3_document_key"].split("/")[-1]) diff --git a/llm-service/app/tests/services/test_metrics.py b/llm-service/app/tests/services/test_metrics.py new file mode 100644 index 00000000..ade8b960 --- /dev/null +++ b/llm-service/app/tests/services/test_metrics.py @@ -0,0 +1,251 @@ +# +# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) +# (C) Cloudera, Inc. 2024 +# All rights reserved. +# +# Applicable Open Source License: Apache 2.0 +# +# NOTE: Cloudera open source products are modular software products +# made up of hundreds of individual components, each of which was +# individually copyrighted. Each Cloudera open source product is a +# collective work under U.S. Copyright Law. Your license to use the +# collective work is as provided in your written agreement with +# Cloudera. Used apart from the collective work, this file is +# licensed for your use pursuant to the open source license +# identified above. +# +# This code is provided to you pursuant a written agreement with +# (i) Cloudera, Inc. or (ii) a third-party authorized to distribute +# this code. If you do not have a written agreement with Cloudera nor +# with an authorized and properly licensed third party, you do not +# have any rights to access nor to use this code. +# +# Absent a written agreement with Cloudera, Inc. ("Cloudera") to the +# contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY +# KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED +# WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO +# IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND +# FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, +# AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS +# ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE +# OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY +# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR +# CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES +# RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF +# BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF +# DATA. +# +import functools +import random +import uuid +from typing import Any, TypeVar, Optional + +from hypothesis import given, example +from hypothesis import strategies as st +from mlflow.entities import RunInfo, Run, RunData, Param + +from app.services.metrics import MetricFilter, get_relevant_runs + + +# mypy: disable-error-code="no-untyped-call" + + +class RunMetricsStrategies: + @staticmethod + def data_source_id() -> st.SearchStrategy[int]: + return st.integers(min_value=1, max_value=3) + + @staticmethod + def inference_model() -> st.SearchStrategy[str]: + return st.sampled_from( + ["inference_model_1", "inference_model_2", "inference_model_3"] + ) + + @staticmethod + def rerank_model() -> st.SearchStrategy[str | None]: + return st.one_of( + st.none(), + st.sampled_from(["rerank_model_1", "rerank_model_2", "rerank_model_3"]), + ) + + @staticmethod + def top_k() -> st.SearchStrategy[int]: + return st.integers(min_value=1, max_value=3) + + @staticmethod + def session_id() -> st.SearchStrategy[int]: + return st.integers(min_value=1, max_value=3) + + @staticmethod + def use_summary_filter() -> st.SearchStrategy[bool]: + return st.booleans() + + @staticmethod + def use_hyde() -> st.SearchStrategy[bool]: + return st.booleans() + + @staticmethod + def use_question_condensing() -> st.SearchStrategy[bool]: + return st.booleans() + + @staticmethod + def exclude_knowledge_base() -> st.SearchStrategy[bool]: + return st.booleans() + + +T = TypeVar("T") + + +def st_filter_value( + strategy: st.SearchStrategy[T], + additional_value: Optional[T] = None, +) -> st.SearchStrategy[T | None]: + """ + Returns either ``None``, a value from `strategy`, or `additional_value`. + + The idea is that if `strategy` returns possible values for ``Run``s, then this strategy returns values for + ``MetricFilter``: + + * ``None``, expecting that the filter should not be applied. + * A value from `strategy`, expecting that the filter should find ``Run``s with that value. + * `additional_value`, expecting that the filter should not find any ``Run``s. + + """ + strategies: list[st.SearchStrategy[T | None]] = [st.none()] + if additional_value is not None: + # additional_value goes second rather than last + # so that Hypothesis shrinks towards it when searching for failure cases + strategies.append(st.just(additional_value)) + strategies.append(strategy) + + return st.one_of(*strategies) + + +def st_metric_filter() -> st.SearchStrategy[MetricFilter]: + return st.builds( + MetricFilter, + data_source_id=st_filter_value( + RunMetricsStrategies.data_source_id(), + 5, + ), + inference_model=st_filter_value( + RunMetricsStrategies.inference_model(), + "unused_inference_model", + ), + rerank_model=st_filter_value( + RunMetricsStrategies.rerank_model(), + "unused_rerank_model", + ), + has_rerank_model=..., # TODO: this clashes with rerank_model + top_k=st_filter_value( + RunMetricsStrategies.top_k(), + 5, + ), + session_id=st_filter_value( + RunMetricsStrategies.session_id(), + 5, + ), + use_summary_filter=st_filter_value( + RunMetricsStrategies.use_summary_filter(), + ), + use_hyde=st_filter_value( + RunMetricsStrategies.use_hyde(), + ), + use_question_condensing=st_filter_value( + RunMetricsStrategies.use_question_condensing(), + ), + exclude_knowledge_base=st_filter_value( + RunMetricsStrategies.exclude_knowledge_base(), + ), + ) + + +def make_test_run(**kwargs: Any) -> Run: + run_info: RunInfo = RunInfo( + run_uuid=str(uuid.uuid4()), + experiment_id="", + user_id="", + status="RUNNING", + start_time=1234, + end_time=5432, + lifecycle_stage="hello", + ) + run_data: RunData = RunData( + params=[Param(key=key, value=str(value)) for key, value in kwargs.items()], + ) + return Run(run_info=run_info, run_data=run_data) + + +@st.composite +def st_runs( + draw: st.DrawFn, + min_runs: int = 0, + max_runs: int = 500, +) -> list[Run]: + if min_runs > max_runs: + raise ValueError("min_runs must be less than or equal to max_runs") + + data_source_ids: list[int] = draw( + st.lists( + RunMetricsStrategies.data_source_id(), + min_size=min_runs, + max_size=max_runs, + ) + ) + really_make_test_run = functools.partial( + make_test_run, + top_k=draw(RunMetricsStrategies.top_k()), + session_id=draw(RunMetricsStrategies.session_id()), + use_summary_filter=draw(RunMetricsStrategies.use_summary_filter()), + use_hyde=draw(RunMetricsStrategies.use_hyde()), + use_question_condensing=draw(RunMetricsStrategies.use_question_condensing()), + exclude_knowledge_base=draw(RunMetricsStrategies.exclude_knowledge_base()), + ) + + generated_runs: list[Run] = [] + for data_source_id in data_source_ids: + generated_runs.append( + really_make_test_run( + data_source_ids=[data_source_id], + inference_model=draw(RunMetricsStrategies.inference_model()), + rerank_model=draw(RunMetricsStrategies.rerank_model()), + ) + ) + random.shuffle(generated_runs) + return generated_runs + + +@given( + runs=st_runs(), + metric_filter=st_metric_filter(), +) +@example( + runs=[make_test_run(data_source_ids=[5], top_k=i) for i in [1, 2, 3]], + metric_filter=MetricFilter(top_k=1), +) +@example( + runs=[make_test_run(data_source_ids=[i]) for i in [1, 2, 3]], + metric_filter=MetricFilter(data_source_id=1), +) +def test_filter_runs(runs: list[Run], metric_filter: MetricFilter) -> None: + relevant_runs = get_relevant_runs(metric_filter, runs) + if all(filter_value is None for _, filter_value in metric_filter): + assert relevant_runs == runs + return + + # make sure there are no false positives + for run in relevant_runs: + for key, filter_value in metric_filter: + if filter_value is None: + continue + if key == "has_rerank_model": + if filter_value is True: + assert run.data.params.get("rerank_model_name") is not None + else: + assert run.data.params.get("rerank_model_name") is None + elif key == "data_source_id": + assert run.data.params["data_source_ids"] == str([filter_value]) + else: + assert run.data.params[key] == str(filter_value) + + # TODO: make sure there are no false negatives, i.e. we didn't miss any relevant runs diff --git a/llm-service/performance_testing/performance_testing.py b/llm-service/performance_testing/performance_testing.py index 01ad9b98..67812770 100644 --- a/llm-service/performance_testing/performance_testing.py +++ b/llm-service/performance_testing/performance_testing.py @@ -57,12 +57,10 @@ from app.services.query.chat_engine import FlexibleContextChatEngine test_runtime_config = { - "reranking_model": [ - model.model_id for model in models.get_available_rerank_models() - ], - "synthesis_model": ["meta.llama3-1-8b-instruct-v1:0"], + "reranking_model": ["mistral-4b-rerank-l4"], + "synthesis_model": ["llama-31-8b-instruct-2xa10g"], "top_k": [5, 10], - "hyde": [True, False], + "hyde": [False, True], } @@ -77,6 +75,7 @@ def main(): with open( os.path.abspath(os.path.join(os.path.dirname(__file__), "raw_results.csv")), "a" ) as details: + details.write("timestamp,chunk_size,hyde,summarization_model,reranking_model,top_k,file_name_1,max_score,relevance,faithfulness,question\n") for config in [ dict(zip(test_runtime_config.keys(), values)) for values in itertools.product(*test_runtime_config.values()) diff --git a/llm-service/performance_testing/results/jan31-2025/raw_results_caii.csv b/llm-service/performance_testing/results/jan31-2025/raw_results_caii.csv new file mode 100644 index 00000000..2156eabb --- /dev/null +++ b/llm-service/performance_testing/results/jan31-2025/raw_results_caii.csv @@ -0,0 +1,77 @@ +timestamp, chunk_size,hyde, summarization_model,reranking_model, top_k, file_name_1, max_score, relevance, faithfulness, question +1738354030.378711,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,6.52734375,1.0,1.0,"How has Apple's total net sales changed over time?" +1738354043.8429508,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,13.984375,1.0,1.0,"What are the major factors contributing to the change in Apple's gross margin in the most recent 10-Q compared to the previous quarters?" +1738354057.716932,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,15.984375,1.0,1.0,"Has there been any significant change in Apple's operating expenses over the reported quarters? If so, what are the key drivers for this change?" +1738354069.525584,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,11.09375,1.0,1.0,"How has Apple's revenue from iPhone sales fluctuated across quarters?" +1738354083.8362849,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,13.5390625,1.0,1.0,"Can any trends be identified in Apple�s Services segment revenue over the reported periods?" +1738354094.22075,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2023 Q2 AMZN.pdf,3.685546875,1.0,1.0,"What is the impact of foreign exchange rates on Apple's financial performance? List this out separately for each reported period." +1738354108.323767,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,9.5234375,1.0,1.0,"Are there any notable changes in Apple's liquidity position or cash flows as reported in these 10-Qs?" +1738354121.652691,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,14.078125,1.0,1.0,"How does Apple's R&D expenditure in the most recent quarter compare to previous quarters and what implications might this have?" +1738354135.0156858,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,7.3359375,1.0,1.0,"What legal proceedings or contingencies are disclosed in these 10-Qs and how might they potentially impact Apple?" +1738354148.337216,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,12.078125,1.0,1.0,"Has Apple engaged in any significant share repurchase activities in the reported quarters and what are the financial implications of these activities?" +1738354158.502176,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-70141-y.pdf,30.53125,1.0,1.0,"What modulates the spontaneous eye blink rate in horses?" +1738354170.374292,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,6.19921875,1.0,1.0,"Which factors affect animal survival in conservation efforts?" +1738354180.529713,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-71451-x.pdf,22.0625,1.0,1.0,"How does fish domestication influence aggression in zebrafish?" +1738354191.593295,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-72696-2.pdf,25.796875,1.0,1.0,"What are the acoustic behaviors of baleen whales near sub-Antarctic islands?" +1738354202.002903,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-70900-x.pdf,24.90625,1.0,1.0,"What factors improve fattening efficiency in commercial pig herds?" +1738354213.895947,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,21.640625,1.0,1.0,"What factors contribute to the survival rates of reintroduced Western ringtail possums?" +1738354227.773608,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-70330-9.pdf,15.8828125,1.0,1.0,"How does foraging behavior differ among Black-tailed gulls from various breeding colonies?" +1738354238.697723,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-71451-x.pdf,26.3125,1.0,1.0,"Can zebrafish domestication be linked to changes in stress response and aggression?" +1738354250.700614,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,18.15625,1.0,1.0,"How does food availability at release sites affect reintroduction success for endangered species?" +1738354272.597513,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,31.328125,1.0,1.0,"How has Apple's total net sales changed over time?" +1738354300.196791,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,20.5,1.0,1.0,"What are the major factors contributing to the change in Apple's gross margin in the most recent 10-Q compared to the previous quarters?" +1738354326.583355,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,24.828125,1.0,1.0,"Has there been any significant change in Apple's operating expenses over the reported quarters? If so, what are the key drivers for this change?" +1738354364.624842,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,36.78125,1.0,1.0,"How has Apple's revenue from iPhone sales fluctuated across quarters?" +1738354390.327446,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2023 Q3 AAPL.pdf,36.125,1.0,1.0,"Can any trends be identified in Apple�s Services segment revenue over the reported periods?" +1738354417.411052,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,32.0,1.0,1.0,"What is the impact of foreign exchange rates on Apple's financial performance? List this out separately for each reported period." +1738354441.514592,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,22.25,1.0,1.0,"Are there any notable changes in Apple's liquidity position or cash flows as reported in these 10-Qs?" +1738354464.1382349,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,22.015625,1.0,1.0,"How does Apple's R&D expenditure in the most recent quarter compare to previous quarters and what implications might this have?" +1738354489.967125,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2023 Q3 AAPL.pdf,20.78125,1.0,1.0,"What legal proceedings or contingencies are disclosed in these 10-Qs and how might they potentially impact Apple?" +1738354517.56764,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,29.75,1.0,1.0,"Has Apple engaged in any significant share repurchase activities in the reported quarters and what are the financial implications of these activities?" +1738354538.923712,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-70141-y.pdf,28.921875,1.0,1.0,"What modulates the spontaneous eye blink rate in horses?" +1738354562.8463051,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,34.0625,1.0,1.0,"Which factors affect animal survival in conservation efforts?" +1738354585.972105,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-71451-x.pdf,28.8125,1.0,1.0,"How does fish domestication influence aggression in zebrafish?" +1738354611.279992,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-72696-2.pdf,34.5,1.0,1.0,"What are the acoustic behaviors of baleen whales near sub-Antarctic islands?" +1738354633.337631,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-70900-x.pdf,32.1875,1.0,1.0,"What factors improve fattening efficiency in commercial pig herds?" +1738354660.065601,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,35.8125,1.0,1.0,"What factors contribute to the survival rates of reintroduced Western ringtail possums?" +1738354684.202183,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-70330-9.pdf,35.875,1.0,1.0,"How does foraging behavior differ among Black-tailed gulls from various breeding colonies?" +1738354710.440663,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-71451-x.pdf,39.1875,1.0,1.0,"Can zebrafish domestication be linked to changes in stress response and aggression?" +1738354730.3363872,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,39.53125,1.0,1.0,"How does food availability at release sites affect reintroduction success for endangered species?" +1738354740.311628,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,6.52734375,1.0,1.0,"How has Apple's total net sales changed over time?" +1738354751.624018,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,13.984375,1.0,1.0,"What are the major factors contributing to the change in Apple's gross margin in the most recent 10-Q compared to the previous quarters?" +1738354764.9672132,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,15.984375,1.0,1.0,"Has there been any significant change in Apple's operating expenses over the reported quarters? If so, what are the key drivers for this change?" +1738354778.4559722,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,11.09375,1.0,1.0,"How has Apple's revenue from iPhone sales fluctuated across quarters?" +1738354791.981885,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,13.5390625,1.0,1.0,"Can any trends be identified in Apple�s Services segment revenue over the reported periods?" +1738354802.496133,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2023 Q2 AMZN.pdf,3.685546875,1.0,1.0,"What is the impact of foreign exchange rates on Apple's financial performance? List this out separately for each reported period." +1738354817.339373,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,9.5234375,1.0,1.0,"Are there any notable changes in Apple's liquidity position or cash flows as reported in these 10-Qs?" +1738354830.8668668,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,14.078125,1.0,1.0,"How does Apple's R&D expenditure in the most recent quarter compare to previous quarters and what implications might this have?" +1738354846.286436,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,7.3359375,1.0,1.0,"What legal proceedings or contingencies are disclosed in these 10-Qs and how might they potentially impact Apple?" +1738354862.455907,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,12.078125,1.0,1.0,"Has Apple engaged in any significant share repurchase activities in the reported quarters and what are the financial implications of these activities?" +1738354872.727232,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-70141-y.pdf,30.53125,1.0,1.0,"What modulates the spontaneous eye blink rate in horses?" +1738354884.649075,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,6.19921875,1.0,1.0,"Which factors affect animal survival in conservation efforts?" +1738354894.7800121,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-71451-x.pdf,22.0625,1.0,1.0,"How does fish domestication influence aggression in zebrafish?" +1738354905.741287,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-72696-2.pdf,25.796875,1.0,1.0,"What are the acoustic behaviors of baleen whales near sub-Antarctic islands?" +1738354916.170184,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-70900-x.pdf,24.90625,1.0,1.0,"What factors improve fattening efficiency in commercial pig herds?" +1738354927.9936829,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,21.640625,1.0,1.0,"What factors contribute to the survival rates of reintroduced Western ringtail possums?" +1738354942.008734,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-70330-9.pdf,15.8828125,1.0,1.0,"How does foraging behavior differ among Black-tailed gulls from various breeding colonies?" +1738354952.7689102,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-71451-x.pdf,26.3125,1.0,1.0,"Can zebrafish domestication be linked to changes in stress response and aggression?" +1738354964.450037,512,False,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,18.15625,1.0,1.0,"How does food availability at release sites affect reintroduction success for endangered species?" +1738354988.155212,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,31.328125,1.0,1.0,"How has Apple's total net sales changed over time?" +1738355018.306005,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,20.5,1.0,1.0,"What are the major factors contributing to the change in Apple's gross margin in the most recent 10-Q compared to the previous quarters?" +1738355045.785727,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,24.828125,1.0,1.0,"Has there been any significant change in Apple's operating expenses over the reported quarters? If so, what are the key drivers for this change?" +1738355088.162009,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,36.78125,1.0,1.0,"How has Apple's revenue from iPhone sales fluctuated across quarters?" +1738355111.975444,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2023 Q3 AAPL.pdf,36.125,1.0,1.0,"Can any trends be identified in Apple�s Services segment revenue over the reported periods?" +1738355138.9705431,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,32.0,1.0,1.0,"What is the impact of foreign exchange rates on Apple's financial performance? List this out separately for each reported period." +1738355163.124205,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,22.25,1.0,1.0,"Are there any notable changes in Apple's liquidity position or cash flows as reported in these 10-Qs?" +1738355183.54684,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,22.015625,0,1.0,"How does Apple's R&D expenditure in the most recent quarter compare to previous quarters and what implications might this have?" +1738355214.112843,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2023 Q3 AAPL.pdf,20.78125,1.0,1.0,"What legal proceedings or contingencies are disclosed in these 10-Qs and how might they potentially impact Apple?" +1738355242.153961,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,29.75,1.0,1.0,"Has Apple engaged in any significant share repurchase activities in the reported quarters and what are the financial implications of these activities?" +1738355263.3489358,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-70141-y.pdf,28.921875,1.0,1.0,"What modulates the spontaneous eye blink rate in horses?" +1738355292.129079,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,34.0625,1.0,1.0,"Which factors affect animal survival in conservation efforts?" +1738355315.328884,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-71451-x.pdf,28.8125,1.0,1.0,"How does fish domestication influence aggression in zebrafish?" +1738355340.6915169,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-72696-2.pdf,34.5,1.0,1.0,"What are the acoustic behaviors of baleen whales near sub-Antarctic islands?" +1738355362.626552,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-70900-x.pdf,32.1875,1.0,1.0,"What factors improve fattening efficiency in commercial pig herds?" +1738355389.349292,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,35.8125,1.0,1.0,"What factors contribute to the survival rates of reintroduced Western ringtail possums?" +1738355413.4221382,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-70330-9.pdf,35.875,1.0,1.0,"How does foraging behavior differ among Black-tailed gulls from various breeding colonies?" +1738355439.733234,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-71451-x.pdf,39.1875,1.0,1.0,"Can zebrafish domestication be linked to changes in stress response and aggression?" +1738355459.668989,512,True,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,39.53125,1.0,1.0,"How does food availability at release sites affect reintroduction success for endangered species?" diff --git a/llm-service/performance_testing/results/jan31-2025/raw_results_deepseek.csv b/llm-service/performance_testing/results/jan31-2025/raw_results_deepseek.csv new file mode 100644 index 00000000..80ae322d --- /dev/null +++ b/llm-service/performance_testing/results/jan31-2025/raw_results_deepseek.csv @@ -0,0 +1,77 @@ +timestamp,chunk_size,hyde,summarization_model,reranking_model,top_k,file_name_1,max_score,relevance,faithfulness,question +1738597201.276246,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,8.5078125,1.0,1.0,"How has Apple's total net sales changed over time?" +1738597238.668458,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,13.8515625,1.0,1.0,"What are the major factors contributing to the change in Apple's gross margin in the most recent 10-Q compared to the previous quarters?" +1738597276.620288,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,15.9765625,1.0,1.0,"Has there been any significant change in Apple's operating expenses over the reported quarters? If so, what are the key drivers for this change?" +1738597311.3377411,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,11.140625,1.0,1.0,"How has Apple's revenue from iPhone sales fluctuated across quarters?" +1738597347.343094,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,13.5625,1.0,1.0,"Can any trends be identified in Apple�s Services segment revenue over the reported periods?" +1738597373.568831,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q2 AMZN.pdf,3.326171875,1.0,1.0,"What is the impact of foreign exchange rates on Apple's financial performance? List this out separately for each reported period." +1738597408.620773,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,9.265625,1.0,1.0,"Are there any notable changes in Apple's liquidity position or cash flows as reported in these 10-Qs?" +1738597451.20511,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,12.6171875,1.0,1.0,"How does Apple's R&D expenditure in the most recent quarter compare to previous quarters and what implications might this have?" +1738597488.471552,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q1 AAPL.pdf,11.4609375,1.0,1.0,"What legal proceedings or contingencies are disclosed in these 10-Qs and how might they potentially impact Apple?" +1738597521.954172,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,10.2734375,1.0,1.0,"Has Apple engaged in any significant share repurchase activities in the reported quarters and what are the financial implications of these activities?" +1738597545.70326,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-70141-y.pdf,30.5,1.0,1.0,"What modulates the spontaneous eye blink rate in horses?" +1738597574.853348,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,5.69140625,1.0,1.0,"Which factors affect animal survival in conservation efforts?" +1738597603.7873778,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-71451-x.pdf,22.1875,1.0,1.0,"How does fish domestication influence aggression in zebrafish?" +1738597636.700125,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-72696-2.pdf,26.25,1.0,1.0,"What are the acoustic behaviors of baleen whales near sub-Antarctic islands?" +1738597669.970678,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-70900-x.pdf,25.03125,0,1.0,"What factors improve fattening efficiency in commercial pig herds?" +1738597703.39777,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,21.828125,1.0,1.0,"What factors contribute to the survival rates of reintroduced Western ringtail possums?" +1738597737.017023,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-70330-9.pdf,15.640625,1.0,1.0,"How does foraging behavior differ among Black-tailed gulls from various breeding colonies?" +1738597765.948428,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-71451-x.pdf,25.59375,1.0,1.0,"Can zebrafish domestication be linked to changes in stress response and aggression?" +1738597794.409152,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,18.640625,1.0,1.0,"How does food availability at release sites affect reintroduction success for endangered species?" +1738597860.3384042,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,21.234375,1.0,1.0,"How has Apple's total net sales changed over time?" +1738597920.609569,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q2 AAPL.pdf,32.15625,1.0,1.0,"What are the major factors contributing to the change in Apple's gross margin in the most recent 10-Q compared to the previous quarters?" +1738597978.957663,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q3 AAPL.pdf,29.28125,1.0,1.0,"Has there been any significant change in Apple's operating expenses over the reported quarters? If so, what are the key drivers for this change?" +1738598041.982143,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q1 AAPL.pdf,23.9375,1.0,1.0,"How has Apple's revenue from iPhone sales fluctuated across quarters?" +1738598106.766616,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,24.828125,1.0,1.0,"Can any trends be identified in Apple�s Services segment revenue over the reported periods?" +1738598174.736353,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q1 AAPL.pdf,34.84375,1.0,1.0,"What is the impact of foreign exchange rates on Apple's financial performance? List this out separately for each reported period." +1738598242.284835,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q3 AAPL.pdf,31.25,1.0,1.0,"Are there any notable changes in Apple's liquidity position or cash flows as reported in these 10-Qs?" +1738598302.298978,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q3 AAPL.pdf,18.78125,1.0,1.0,"How does Apple's R&D expenditure in the most recent quarter compare to previous quarters and what implications might this have?" +1738598363.403139,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2022 Q3 AAPL.pdf,13.203125,1.0,1.0,"What legal proceedings or contingencies are disclosed in these 10-Qs and how might they potentially impact Apple?" +1738598425.4054961,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,2023 Q3 AAPL.pdf,31.1875,1.0,1.0,"Has Apple engaged in any significant share repurchase activities in the reported quarters and what are the financial implications of these activities?" +1738598476.142029,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-70141-y.pdf,25.203125,1.0,1.0,"What modulates the spontaneous eye blink rate in horses?" +1738598532.619853,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,18.890625,1.0,1.0,"Which factors affect animal survival in conservation efforts?" +1738598588.634631,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-71451-x.pdf,34.15625,1.0,1.0,"How does fish domestication influence aggression in zebrafish?" +1738598655.768233,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-72696-2.pdf,23.109375,1.0,1.0,"What are the acoustic behaviors of baleen whales near sub-Antarctic islands?" +1738598709.996126,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-70900-x.pdf,24.140625,1.0,1.0,"What factors improve fattening efficiency in commercial pig herds?" +1738598774.992985,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,29.703125,1.0,1.0,"What factors contribute to the survival rates of reintroduced Western ringtail possums?" +1738598845.396576,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-70330-9.pdf,38.25,1.0,1.0,"How does foraging behavior differ among Black-tailed gulls from various breeding colonies?" +1738598908.051581,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-71451-x.pdf,35.21875,1.0,1.0,"Can zebrafish domestication be linked to changes in stress response and aggression?" +1738598956.207725,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,5,s41598-024-67726-y.pdf,23.65625,1.0,1.0,"How does food availability at release sites affect reintroduction success for endangered species?" +1738598998.440844,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,8.5078125,1.0,1.0,"How has Apple's total net sales changed over time?" +1738599031.700841,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,13.8515625,1.0,1.0,"What are the major factors contributing to the change in Apple's gross margin in the most recent 10-Q compared to the previous quarters?" +1738599063.257376,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,15.9765625,1.0,1.0,"Has there been any significant change in Apple's operating expenses over the reported quarters? If so, what are the key drivers for this change?" +1738599102.991811,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,11.140625,1.0,1.0,"How has Apple's revenue from iPhone sales fluctuated across quarters?" +1738599135.787692,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,13.5625,1.0,1.0,"Can any trends be identified in Apple�s Services segment revenue over the reported periods?" +1738599171.580283,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q2 AMZN.pdf,3.326171875,1.0,1.0,"What is the impact of foreign exchange rates on Apple's financial performance? List this out separately for each reported period." +1738599211.15455,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,9.265625,1.0,1.0,"Are there any notable changes in Apple's liquidity position or cash flows as reported in these 10-Qs?" +1738599254.365385,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,12.6171875,1.0,1.0,"How does Apple's R&D expenditure in the most recent quarter compare to previous quarters and what implications might this have?" +1738599295.632458,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q1 AAPL.pdf,11.4609375,1.0,1.0,"What legal proceedings or contingencies are disclosed in these 10-Qs and how might they potentially impact Apple?" +1738599328.5029602,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,10.2734375,1.0,1.0,"Has Apple engaged in any significant share repurchase activities in the reported quarters and what are the financial implications of these activities?" +1738599352.975723,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-70141-y.pdf,30.5,1.0,1.0,"What modulates the spontaneous eye blink rate in horses?" +1738599389.401113,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,5.69140625,1.0,1.0,"Which factors affect animal survival in conservation efforts?" +1738599416.126985,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-71451-x.pdf,22.1875,1.0,1.0,"How does fish domestication influence aggression in zebrafish?" +1738599454.068942,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-72696-2.pdf,26.25,1.0,1.0,"What are the acoustic behaviors of baleen whales near sub-Antarctic islands?" +1738599488.551105,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-70900-x.pdf,25.03125,1.0,1.0,"What factors improve fattening efficiency in commercial pig herds?" +1738599518.457657,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,21.828125,1.0,1.0,"What factors contribute to the survival rates of reintroduced Western ringtail possums?" +1738599548.729888,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-70330-9.pdf,15.640625,1.0,1.0,"How does foraging behavior differ among Black-tailed gulls from various breeding colonies?" +1738599578.376204,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-71451-x.pdf,25.59375,1.0,1.0,"Can zebrafish domestication be linked to changes in stress response and aggression?" +1738599604.641942,512,False,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,18.640625,1.0,1.0,"How does food availability at release sites affect reintroduction success for endangered species?" +1738599664.8603892,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q3 AAPL.pdf,17.640625,1.0,1.0,"How has Apple's total net sales changed over time?" +1738599727.784829,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,29.1875,1.0,1.0,"What are the major factors contributing to the change in Apple's gross margin in the most recent 10-Q compared to the previous quarters?" +1738599803.616658,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,24.734375,1.0,1.0,"Has there been any significant change in Apple's operating expenses over the reported quarters? If so, what are the key drivers for this change?" +1738599863.6260219,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q2 AAPL.pdf,23.9375,1.0,1.0,"How has Apple's revenue from iPhone sales fluctuated across quarters?" +1738599923.242812,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,20.375,1.0,1.0,"Can any trends be identified in Apple�s Services segment revenue over the reported periods?" +1738599992.084049,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,32.625,1.0,0,"What is the impact of foreign exchange rates on Apple's financial performance? List this out separately for each reported period." +1738600067.801615,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q3 AAPL.pdf,28.3125,1.0,1.0,"Are there any notable changes in Apple's liquidity position or cash flows as reported in these 10-Qs?" +1738600128.298805,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2023 Q3 AAPL.pdf,22.203125,1.0,1.0,"How does Apple's R&D expenditure in the most recent quarter compare to previous quarters and what implications might this have?" +1738600202.331397,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,19.296875,0,0,"What legal proceedings or contingencies are disclosed in these 10-Qs and how might they potentially impact Apple?" +1738600273.8685691,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,2022 Q3 AAPL.pdf,31.96875,1.0,1.0,"Has Apple engaged in any significant share repurchase activities in the reported quarters and what are the financial implications of these activities?" +1738600336.000565,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-70141-y.pdf,26.109375,1.0,1.0,"What modulates the spontaneous eye blink rate in horses?" +1738600399.178571,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-72696-2.pdf,22.9375,1.0,1.0,"Which factors affect animal survival in conservation efforts?" +1738600460.038559,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-71451-x.pdf,33.03125,1.0,1.0,"How does fish domestication influence aggression in zebrafish?" +1738600524.581044,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-72696-2.pdf,23.921875,1.0,1.0,"What are the acoustic behaviors of baleen whales near sub-Antarctic islands?" +1738600582.904029,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-70900-x.pdf,25.46875,1.0,1.0,"What factors improve fattening efficiency in commercial pig herds?" +1738600630.548845,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,30.96875,1.0,1.0,"What factors contribute to the survival rates of reintroduced Western ringtail possums?" +1738600691.388528,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-70330-9.pdf,17.140625,1.0,1.0,"How does foraging behavior differ among Black-tailed gulls from various breeding colonies?" +1738600741.22739,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-71451-x.pdf,33.53125,1.0,1.0,"Can zebrafish domestication be linked to changes in stress response and aggression?" +1738600795.9780962,512,True,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,10,s41598-024-67726-y.pdf,31.71875,1.0,1.0,"How does food availability at release sites affect reintroduction success for endangered species?" diff --git a/llm-service/performance_testing/results/jan31-2025/results_caii.csv b/llm-service/performance_testing/results/jan31-2025/results_caii.csv new file mode 100644 index 00000000..0d697a8d --- /dev/null +++ b/llm-service/performance_testing/results/jan31-2025/results_caii.csv @@ -0,0 +1,5 @@ +chunk_size,summarization_model,reranking_model,synthesis_model,hyde,top_k,average_max_score,min_max_score,relevance_average,faithfulness_average +512,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,llama-31-8b-instruct-2xa10g,False,5,22.271998355263158,6.52734375,1.0,1.0 +512,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,llama-31-8b-instruct-2xa10g,True,5,36.19161184210526,31.328125,1.0,1.0 +512,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,llama-31-8b-instruct-2xa10g,False,10,22.271998355263158,6.52734375,1.0,1.0 +512,llama-31-8b-instruct-2xa10g,mistral-4b-rerank-l4,llama-31-8b-instruct-2xa10g,True,10,36.19161184210526,31.328125,0.9473684210526315,1.0 diff --git a/llm-service/performance_testing/results/jan31-2025/results_deepseek.csv b/llm-service/performance_testing/results/jan31-2025/results_deepseek.csv new file mode 100644 index 00000000..d1709e68 --- /dev/null +++ b/llm-service/performance_testing/results/jan31-2025/results_deepseek.csv @@ -0,0 +1,5 @@ +chunk_size,summarization_model,reranking_model,synthesis_model,hyde,top_k,average_max_score,min_max_score,relevance_average,faithfulness_average +512,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,deepseek-r1-distill-llama-8b,False,5,22.351151315789473,8.5078125,0.9473684210526315,1.0 +512,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,deepseek-r1-distill-llama-8b,True,5,34.09950657894737,21.234375,1.0,1.0 +512,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,deepseek-r1-distill-llama-8b,False,10,22.351151315789473,8.5078125,1.0,1.0 +512,deepseek-r1-distill-llama-8b,mistral-4b-rerank-l4,deepseek-r1-distill-llama-8b,True,10,31.314967105263158,17.640625,0.9473684210526315,0.8947368421052632 diff --git a/llm-service/pyproject.toml b/llm-service/pyproject.toml index a3c8d768..166c4652 100644 --- a/llm-service/pyproject.toml +++ b/llm-service/pyproject.toml @@ -26,7 +26,7 @@ dependencies = [ "torch>=2.5.1", "pillow>=10.4.0", "transformers>=4.46.3", - "docling>=2.11.0", + "docling>=2.15.0", "llvmlite==0.43.0", "llama-index-llms-bedrock-converse>=0.2.0", "presidio-analyzer>=2.2.355", @@ -34,6 +34,7 @@ dependencies = [ "detect-secrets>=1.5.0", "llama-index-postprocessor-bedrock-rerank>=0.3.1", "llama-index-postprocessor-nvidia-rerank>=0.4.0", + "mlflow>=2.20.1", ] requires-python = ">=3.10,<=3.12" readme = "README.md" diff --git a/llm-service/reconciler/mlflow_reconciler.py b/llm-service/reconciler/mlflow_reconciler.py new file mode 100644 index 00000000..7192e91e --- /dev/null +++ b/llm-service/reconciler/mlflow_reconciler.py @@ -0,0 +1,220 @@ +""" +Reconciler script to process io request pairs. +""" + +# +# CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) +# (C) Cloudera, Inc. 2024 +# All rights reserved. +# +# Applicable Open Source License: Apache 2.0 +# +# NOTE: Cloudera open source products are modular software products +# made up of hundreds of individual components, each of which was +# individually copyrighted. Each Cloudera open source product is a +# collective work under U.S. Copyright Law. Your license to use the +# collective work is as provided in your written agreement with +# Cloudera. Used apart from the collective work, this file is +# licensed for your use pursuant to the open source license +# identified above. +# +# This code is provided to you pursuant a written agreement with +# (i) Cloudera, Inc. or (ii) a third-party authorized to distribute +# this code. If you do not have a written agreement with Cloudera nor +# with an authorized and properly licensed third party, you do not +# have any rights to access nor to use this code. +# +# Absent a written agreement with Cloudera, Inc. ("Cloudera") to the +# contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY +# KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED +# WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO +# IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND +# FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, +# AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS +# ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE +# OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY +# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR +# CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES +# RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF +# BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF +# DATA. +# + +import os +import json +import logging +import sys +import time +import threading +from pathlib import Path +import argparse +import asyncio +from typing import Any, Literal, Optional + +import mlflow +from mlflow.entities import Experiment +from pydantic import BaseModel + +logger = logging.getLogger(__name__) + + +def configure_logger(): + """Configure logger formatting and verbosity.""" + # match Java backend's formatting + formatter = logging.Formatter( + fmt=" ".join( + [ + "%(asctime)s", + "%(levelname)5s", + "%(name)30s", + "%(message)s", + ] + ) + ) + # https://docs.python.org/3/library/logging.html#logging.Formatter.formatTime + formatter.converter = time.gmtime + formatter.default_time_format = "%H:%M:%S" + formatter.default_msec_format = "%s.%03d" + + handler = logging.StreamHandler(sys.stdout) + handler.setLevel(logging.WARNING) + handler.setFormatter(formatter) + + logger.setLevel(logging.WARNING) + logger.addHandler(handler) + + +MlflowRunStatus = Literal["pending", "success", "failed"] + + +class MlflowTable(BaseModel): + data: dict[str, Any] + artifact_file: str + + +class MlflowRunData(BaseModel): + experiment_name: str + run_name: str + tags: Optional[dict[str, Any]] = None + metrics: Optional[dict[str, float]] = None + params: Optional[dict[str, Any]] = None + table: Optional[MlflowTable] = None + status: MlflowRunStatus + + +async def evaluate_json_data(data: MlflowRunData) -> Optional[MlflowRunStatus]: + if data.status == "success": + return None + + if data.status == "pending": + experiment: Experiment = mlflow.set_experiment( + experiment_name=data.experiment_name, + ) + with mlflow.start_run( + experiment_id=experiment.experiment_id, + run_name=data.run_name, + ): + if data.tags: + mlflow.set_tags(data.tags) + if data.params: + mlflow.log_params(data.params) + if data.metrics: + mlflow.log_metrics(data.metrics) + if data.table: + mlflow.log_table( + data=data.table.data, artifact_file=data.table.artifact_file + ) + return "success" + + return "failed" + + +async def process_io_pair(file_path, processing_function): + """Callback function to process a io saved in a file.""" + with open(file_path, "r") as f: + data = MlflowRunData(**json.load(f)) + + # Process io pair + status = await processing_function(data) + if status == "success": + logger.info("Successfully processed i/o pair: %s", file_path) + os.remove(file_path) + return + + # save the response + if status is not None: + data.status = status + with open(file_path, "w") as f: + json.dump(data.model_dump(), f, indent=2) + + if status == "pending": + logger.info( + "MLFlow experiment and run IDs set for i/o pair: %s. Queued for evaluation.", + file_path, + ) + return + + if status == "failed": + logger.error("Failed to process i/o pair: %s. Will retry.", file_path) + return + + +def background_worker(directory, processing_function): + """Background thread function to process files.""" + if not isinstance(directory, Path): + directory = Path(directory) + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + while True: + files_to_process = [ + file_path + for file_path in directory.iterdir() + if file_path.is_file() and file_path.suffix == ".json" + ] + for file_path in files_to_process: + try: + loop.run_until_complete( + process_io_pair( + file_path=file_path, processing_function=processing_function + ) + ) + except Exception: + logger.error("Error processing file %s", file_path, exc_info=True) + time.sleep(15) + + +# Start background worker thread +def start_background_worker(directory, processing_function): + """Start the background worker thread.""" + if not isinstance(directory, Path): + directory = Path(directory) + worker_thread = threading.Thread( + target=background_worker, args=(directory, processing_function), daemon=True + ) + worker_thread.start() + + +if __name__ == "__main__": + configure_logger() + # Directory to save JSON files + # Argument parsing to get the data directory + parser = argparse.ArgumentParser( + description="Reconciler script to process io request pairs." + ) + parser.add_argument( + "--data-dir", + type=str, + default=os.path.join(os.path.dirname(__file__), "data"), + help="Directory to save JSON files", + ) + args = parser.parse_args() + + data_dir = Path(args.data_dir) + data_dir.mkdir(exist_ok=True) + start_background_worker(data_dir, evaluate_json_data) + try: + while True: + logger.debug("Reconciler looking for i/o pairs in %s...", data_dir) + time.sleep(1) + except KeyboardInterrupt: + logger.debug("Shutting down...") diff --git a/llm-service/uv.lock b/llm-service/uv.lock index cdb62a8d..7813fe5e 100644 --- a/llm-service/uv.lock +++ b/llm-service/uv.lock @@ -1,15 +1,27 @@ version = 1 requires-python = ">=3.10, <=3.12" resolution-markers = [ - "python_full_version < '3.11' and platform_system == 'Darwin'", + "python_full_version < '3.11' and platform_machine == 'x86_64' and platform_system == 'Darwin' and sys_platform == 'darwin'", + "python_full_version < '3.11' and platform_machine == 'x86_64' and platform_system != 'Darwin' and platform_system != 'Windows' and sys_platform == 'darwin'", + "python_full_version < '3.11' and platform_machine == 'x86_64' and platform_system == 'Windows' and sys_platform == 'darwin'", + "(python_full_version < '3.11' and platform_machine != 'x86_64' and platform_system == 'Darwin') or (python_full_version < '3.11' and platform_system == 'Darwin' and sys_platform != 'darwin')", "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux'", - "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux')", - "python_full_version == '3.11.*' and platform_system == 'Darwin'", + "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_machine != 'x86_64' and platform_system != 'Darwin' and platform_system != 'Windows') or (python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and platform_system != 'Windows') or (python_full_version < '3.11' and platform_machine == 'x86_64' and platform_system != 'Darwin' and platform_system != 'Windows' and sys_platform != 'darwin')", + "(python_full_version < '3.11' and platform_machine != 'x86_64' and platform_system == 'Windows') or (python_full_version < '3.11' and platform_system == 'Windows' and sys_platform != 'darwin')", + "python_full_version == '3.11.*' and platform_machine == 'x86_64' and platform_system == 'Darwin' and sys_platform == 'darwin'", + "python_full_version == '3.11.*' and platform_machine == 'x86_64' and platform_system != 'Darwin' and platform_system != 'Windows' and sys_platform == 'darwin'", + "python_full_version == '3.11.*' and platform_machine == 'x86_64' and platform_system == 'Windows' and sys_platform == 'darwin'", + "(python_full_version == '3.11.*' and platform_machine != 'x86_64' and platform_system == 'Darwin') or (python_full_version == '3.11.*' and platform_system == 'Darwin' and sys_platform != 'darwin')", "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux'", - "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux')", - "python_full_version >= '3.12' and platform_system == 'Darwin'", + "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_machine != 'x86_64' and platform_system != 'Darwin' and platform_system != 'Windows') or (python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system != 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MLFLOW_RECONCILER_DATA_PATH=$(pwd)/llm-service/reconciler/data cleanup() { # kill all processes whose parent is this process @@ -71,6 +72,9 @@ fi uv sync uv run pytest -sxvvra app +uv run mlflow ui & + +mkdir -p $MLFLOW_RECONCILER_DATA_PATH uv run fastapi dev --port=8081 & # wait for the python backend to be ready @@ -79,6 +83,9 @@ while ! curl --output /dev/null --silent --fail http://localhost:8081/amp-update sleep 4 done +# start mlflow reconciler +uv run reconciler/mlflow_reconciler.py & + # start up the jarva cd ../backend ./gradlew --console=plain bootRun & diff --git a/scripts/release_version.txt b/scripts/release_version.txt index cbb58acb..61bbdf26 100644 --- a/scripts/release_version.txt +++ b/scripts/release_version.txt @@ -1 +1 @@ -export RELEASE_TAG=1.8.0 +export RELEASE_TAG=1.9.0 diff --git a/scripts/startup_app.sh b/scripts/startup_app.sh index d7409918..b25ed10b 100755 --- a/scripts/startup_app.sh +++ b/scripts/startup_app.sh @@ -54,6 +54,8 @@ trap cleanup EXIT export RAG_DATABASES_DIR=$(pwd)/databases export LLM_SERVICE_URL="http://localhost:8081" export API_URL="http://localhost:8080" +export MLFLOW_ENABLE_ARTIFACTS_PROGRESS_BAR=false +export MLFLOW_RECONCILER_DATA_PATH=$(pwd)/llm-service/reconciler/data # start Qdrant vector DB qdrant/qdrant & 2>&1 @@ -63,6 +65,7 @@ scripts/startup_java.sh & 2>&1 # start Python backend cd llm-service +mkdir -p $MLFLOW_RECONCILER_DATA_PATH uv run fastapi run --reload --host 127.0.0.1 --port 8081 & 2>&1 # wait for the python backend to be ready @@ -71,6 +74,9 @@ while ! curl --output /dev/null --silent --fail http://localhost:8081/amp-update sleep 4 done +# start mlflow reconciler +uv run reconciler/mlflow_reconciler.py & + # start Node production server cd .. diff --git a/ui/package.json b/ui/package.json index d8cb59ec..4a91a70e 100644 --- a/ui/package.json +++ b/ui/package.json @@ -19,19 +19,21 @@ }, "dependencies": { "@ant-design/icons": "^5.5.1", + "@emotion/react": "^11.14.0", + "@emotion/styled": "^11.14.0", 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'@types/react-transition-group': 4.4.12(@types/react@18.3.12) + clsx: 2.1.1 + csstype: 3.1.3 + prop-types: 15.8.1 + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + react-is: 19.0.0 + react-transition-group: 4.4.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + optionalDependencies: + '@emotion/react': 11.14.0(@types/react@18.3.12)(react@18.3.1) + '@emotion/styled': 11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1) + '@types/react': 18.3.12 + + '@mui/private-theming@6.4.3(@types/react@18.3.12)(react@18.3.1)': + dependencies: + '@babel/runtime': 7.26.7 + '@mui/utils': 6.4.3(@types/react@18.3.12)(react@18.3.1) + prop-types: 15.8.1 + react: 18.3.1 + optionalDependencies: + '@types/react': 18.3.12 + + '@mui/styled-engine@6.4.3(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@emotion/styled@11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1))(react@18.3.1)': + dependencies: + '@babel/runtime': 7.26.7 + '@emotion/cache': 11.14.0 + '@emotion/serialize': 1.3.3 + '@emotion/sheet': 1.4.0 + csstype: 3.1.3 + prop-types: 15.8.1 + react: 18.3.1 + optionalDependencies: + '@emotion/react': 11.14.0(@types/react@18.3.12)(react@18.3.1) + '@emotion/styled': 11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1) + + '@mui/system@6.4.3(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@emotion/styled@11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1)': + dependencies: + '@babel/runtime': 7.26.7 + '@mui/private-theming': 6.4.3(@types/react@18.3.12)(react@18.3.1) + '@mui/styled-engine': 6.4.3(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@emotion/styled@11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1))(react@18.3.1) + '@mui/types': 7.2.21(@types/react@18.3.12) + '@mui/utils': 6.4.3(@types/react@18.3.12)(react@18.3.1) + clsx: 2.1.1 + csstype: 3.1.3 + prop-types: 15.8.1 + react: 18.3.1 + optionalDependencies: + '@emotion/react': 11.14.0(@types/react@18.3.12)(react@18.3.1) + '@emotion/styled': 11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1) + '@types/react': 18.3.12 + + '@mui/types@7.2.21(@types/react@18.3.12)': + optionalDependencies: + '@types/react': 18.3.12 + + '@mui/utils@6.4.3(@types/react@18.3.12)(react@18.3.1)': + dependencies: + '@babel/runtime': 7.26.7 + '@mui/types': 7.2.21(@types/react@18.3.12) + '@types/prop-types': 15.7.14 + clsx: 2.1.1 + prop-types: 15.8.1 + react: 18.3.1 + react-is: 19.0.0 + optionalDependencies: + '@types/react': 18.3.12 + + '@mui/x-charts-vendor@7.20.0': + dependencies: + '@babel/runtime': 7.26.7 + '@types/d3-color': 3.1.3 + '@types/d3-delaunay': 6.0.4 + '@types/d3-interpolate': 3.0.4 + '@types/d3-scale': 4.0.9 + '@types/d3-shape': 3.1.7 + '@types/d3-time': 3.0.4 + d3-color: 3.1.0 + d3-delaunay: 6.0.4 + d3-interpolate: 3.0.1 + d3-scale: 4.0.2 + d3-shape: 3.2.0 + d3-time: 3.1.0 + delaunator: 5.0.1 + robust-predicates: 3.0.2 + + '@mui/x-charts@7.26.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@emotion/styled@11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1))(@mui/material@6.4.3(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@emotion/styled@11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react-dom@18.3.1(react@18.3.1))(react@18.3.1))(@mui/system@6.4.3(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@emotion/styled@11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + dependencies: + '@babel/runtime': 7.26.7 + '@mui/material': 6.4.3(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@emotion/styled@11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + '@mui/system': 6.4.3(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@emotion/styled@11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1) + '@mui/utils': 6.4.3(@types/react@18.3.12)(react@18.3.1) + '@mui/x-charts-vendor': 7.20.0 + '@mui/x-internals': 7.26.0(@types/react@18.3.12)(react@18.3.1) + '@react-spring/rafz': 9.7.5 + '@react-spring/web': 9.7.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1) + clsx: 2.1.1 + prop-types: 15.8.1 + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + optionalDependencies: + '@emotion/react': 11.14.0(@types/react@18.3.12)(react@18.3.1) + '@emotion/styled': 11.14.0(@emotion/react@11.14.0(@types/react@18.3.12)(react@18.3.1))(@types/react@18.3.12)(react@18.3.1) + transitivePeerDependencies: + - '@types/react' + + '@mui/x-internals@7.26.0(@types/react@18.3.12)(react@18.3.1)': + dependencies: + '@babel/runtime': 7.26.7 + '@mui/utils': 6.4.3(@types/react@18.3.12)(react@18.3.1) + react: 18.3.1 + transitivePeerDependencies: + - '@types/react' '@nodelib/fs.scandir@2.1.5': dependencies: @@ -3862,15 +4270,14 @@ snapshots: '@nodelib/fs.scandir': 2.1.5 fastq: 1.17.1 - '@pkgjs/parseargs@0.11.0': - optional: true - '@pkgr/core@0.1.1': {} '@playwright/test@1.48.2': dependencies: playwright: 1.48.2 + '@popperjs/core@2.11.8': {} + '@rc-component/async-validator@5.0.4': dependencies: '@babel/runtime': 7.26.0 @@ -3940,6 +4347,38 @@ snapshots: react: 18.3.1 react-dom: 18.3.1(react@18.3.1) + '@react-spring/animated@9.7.5(react@18.3.1)': + dependencies: + '@react-spring/shared': 9.7.5(react@18.3.1) + '@react-spring/types': 9.7.5 + react: 18.3.1 + + '@react-spring/core@9.7.5(react@18.3.1)': + dependencies: + '@react-spring/animated': 9.7.5(react@18.3.1) + '@react-spring/shared': 9.7.5(react@18.3.1) + '@react-spring/types': 9.7.5 + react: 18.3.1 + + '@react-spring/rafz@9.7.5': {} + + '@react-spring/shared@9.7.5(react@18.3.1)': + dependencies: + '@react-spring/rafz': 9.7.5 + '@react-spring/types': 9.7.5 + react: 18.3.1 + + '@react-spring/types@9.7.5': {} + + '@react-spring/web@9.7.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1)': + dependencies: + '@react-spring/animated': 9.7.5(react@18.3.1) + '@react-spring/core': 9.7.5(react@18.3.1) + '@react-spring/shared': 9.7.5(react@18.3.1) + '@react-spring/types': 9.7.5 + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + '@rollup/pluginutils@5.1.3(rollup@4.31.0)': dependencies: '@types/estree': 1.0.6 @@ -4169,7 +4608,7 @@ snapshots: '@testing-library/dom@10.4.0': dependencies: '@babel/code-frame': 7.26.2 - '@babel/runtime': 7.26.0 + '@babel/runtime': 7.26.7 '@types/aria-query': 5.0.4 aria-query: 5.3.0 chalk: 4.1.2 @@ -4224,6 +4663,26 @@ snapshots: dependencies: '@babel/types': 7.26.0 + '@types/d3-color@3.1.3': {} + + '@types/d3-delaunay@6.0.4': {} + + '@types/d3-interpolate@3.0.4': + dependencies: + '@types/d3-color': 3.1.3 + + '@types/d3-path@3.1.1': {} + + '@types/d3-scale@4.0.9': + dependencies: + '@types/d3-time': 3.0.4 + + '@types/d3-shape@3.1.7': + dependencies: + '@types/d3-path': 3.1.1 + + '@types/d3-time@3.0.4': {} + '@types/debug@4.1.12': dependencies: '@types/ms': 0.7.34 @@ -4261,12 +4720,20 @@ snapshots: dependencies: undici-types: 6.19.8 + '@types/parse-json@4.0.2': {} + '@types/prop-types@15.7.13': {} + '@types/prop-types@15.7.14': {} + '@types/react-dom@18.3.1': dependencies: '@types/react': 18.3.12 + '@types/react-transition-group@4.4.12(@types/react@18.3.12)': + dependencies: + '@types/react': 18.3.12 + '@types/react@18.3.12': dependencies: '@types/prop-types': 15.7.13 @@ -4316,7 +4783,7 @@ snapshots: dependencies: '@typescript-eslint/typescript-estree': 8.14.0(typescript@5.6.3) '@typescript-eslint/utils': 8.14.0(eslint@9.14.0)(typescript@5.6.3) - debug: 4.3.7 + debug: 4.4.0 ts-api-utils: 1.4.0(typescript@5.6.3) optionalDependencies: typescript: 5.6.3 @@ -4370,62 +4837,44 @@ snapshots: transitivePeerDependencies: - supports-color - '@vitest/coverage-v8@2.1.4(vitest@2.1.4(@types/node@22.9.0)(jsdom@25.0.1))': - dependencies: - '@ampproject/remapping': 2.3.0 - '@bcoe/v8-coverage': 0.2.3 - debug: 4.3.7 - istanbul-lib-coverage: 3.2.2 - istanbul-lib-report: 3.0.1 - istanbul-lib-source-maps: 5.0.6 - istanbul-reports: 3.1.7 - magic-string: 0.30.12 - magicast: 0.3.5 - std-env: 3.8.0 - test-exclude: 7.0.1 - tinyrainbow: 1.2.0 - vitest: 2.1.4(@types/node@22.9.0)(jsdom@25.0.1) - transitivePeerDependencies: - - supports-color - - '@vitest/expect@2.1.4': + '@vitest/expect@2.1.9': dependencies: - '@vitest/spy': 2.1.4 - '@vitest/utils': 2.1.4 + '@vitest/spy': 2.1.9 + '@vitest/utils': 2.1.9 chai: 5.1.2 tinyrainbow: 1.2.0 - '@vitest/mocker@2.1.4(vite@5.4.12(@types/node@22.9.0))': + '@vitest/mocker@2.1.9(vite@5.4.12(@types/node@22.9.0))': dependencies: - '@vitest/spy': 2.1.4 + '@vitest/spy': 2.1.9 estree-walker: 3.0.3 - magic-string: 0.30.12 + magic-string: 0.30.17 optionalDependencies: vite: 5.4.12(@types/node@22.9.0) - '@vitest/pretty-format@2.1.4': + '@vitest/pretty-format@2.1.9': dependencies: tinyrainbow: 1.2.0 - '@vitest/runner@2.1.4': + '@vitest/runner@2.1.9': dependencies: - '@vitest/utils': 2.1.4 + '@vitest/utils': 2.1.9 pathe: 1.1.2 - '@vitest/snapshot@2.1.4': + '@vitest/snapshot@2.1.9': dependencies: - '@vitest/pretty-format': 2.1.4 - magic-string: 0.30.12 + '@vitest/pretty-format': 2.1.9 + magic-string: 0.30.17 pathe: 1.1.2 - '@vitest/spy@2.1.4': + '@vitest/spy@2.1.9': dependencies: tinyspy: 3.0.2 - '@vitest/utils@2.1.4': + '@vitest/utils@2.1.9': dependencies: - '@vitest/pretty-format': 2.1.4 - loupe: 3.1.2 + '@vitest/pretty-format': 2.1.9 + loupe: 3.1.3 tinyrainbow: 1.2.0 acorn-jsx@5.3.2(acorn@8.14.0): @@ -4436,7 +4885,7 @@ snapshots: agent-base@7.1.1: dependencies: - debug: 4.3.7 + debug: 4.4.0 transitivePeerDependencies: - supports-color @@ -4607,6 +5056,12 @@ snapshots: transitivePeerDependencies: - supports-color + babel-plugin-macros@3.1.0: + dependencies: + '@babel/runtime': 7.26.7 + cosmiconfig: 7.1.0 + resolve: 1.22.10 + bail@2.0.2: {} balanced-match@1.0.2: {} @@ -4656,7 +5111,7 @@ snapshots: assertion-error: 2.0.1 check-error: 2.1.1 deep-eql: 5.0.2 - loupe: 3.1.2 + loupe: 3.1.3 pathval: 2.0.0 chalk@3.0.0: @@ -4679,14 +5134,6 @@ snapshots: character-reference-invalid@2.0.1: {} - chart.js@4.4.6: - dependencies: - '@kurkle/color': 0.3.4 - - chartjs-plugin-datalabels@2.2.0(chart.js@4.4.6): - dependencies: - chart.js: 4.4.6 - check-error@2.1.1: {} chokidar@3.6.0: @@ -4734,12 +5181,22 @@ snapshots: concat-map@0.0.1: {} + convert-source-map@1.9.0: {} + convert-source-map@2.0.0: {} copy-to-clipboard@3.3.3: dependencies: toggle-selection: 1.0.6 + cosmiconfig@7.1.0: + dependencies: + '@types/parse-json': 4.0.2 + import-fresh: 3.3.0 + parse-json: 5.2.0 + path-type: 4.0.0 + yaml: 1.10.2 + cosmiconfig@8.3.6(typescript@5.6.3): dependencies: import-fresh: 3.3.0 @@ -4763,6 +5220,44 @@ snapshots: csstype@3.1.3: {} + d3-array@3.2.4: + dependencies: + internmap: 2.0.3 + + d3-color@3.1.0: {} + + d3-delaunay@6.0.4: + dependencies: + delaunator: 5.0.1 + + d3-format@3.1.0: {} + + d3-interpolate@3.0.1: + dependencies: + d3-color: 3.1.0 + + d3-path@3.1.0: {} + + d3-scale@4.0.2: + dependencies: + d3-array: 3.2.4 + d3-format: 3.1.0 + d3-interpolate: 3.0.1 + d3-time: 3.1.0 + d3-time-format: 4.1.0 + + d3-shape@3.2.0: + dependencies: + d3-path: 3.1.0 + + d3-time-format@4.1.0: + dependencies: + d3-time: 3.1.0 + + d3-time@3.1.0: + dependencies: + d3-array: 3.2.4 + data-urls@5.0.0: dependencies: whatwg-mimetype: 4.0.0 @@ -4794,6 +5289,10 @@ snapshots: dependencies: ms: 2.1.3 + debug@4.4.0: + dependencies: + ms: 2.1.3 + decimal.js@10.4.3: {} decode-named-character-reference@1.0.2: @@ -4816,6 +5315,10 @@ snapshots: has-property-descriptors: 1.0.2 object-keys: 1.1.1 + delaunator@5.0.1: + dependencies: + robust-predicates: 3.0.2 + delayed-stream@1.0.0: {} dequal@2.0.3: {} @@ -4832,21 +5335,20 @@ snapshots: dom-accessibility-api@0.6.3: {} + dom-helpers@5.2.1: + dependencies: + '@babel/runtime': 7.26.7 + csstype: 3.1.3 + dot-case@3.0.4: dependencies: no-case: 3.0.4 tslib: 2.8.1 - eastasianwidth@0.2.0: {} - electron-to-chromium@1.5.56: {} emoji-regex@10.4.0: {} - emoji-regex@8.0.0: {} - - emoji-regex@9.2.2: {} - entities@4.5.0: {} environment@1.1.0: {} @@ -4928,6 +5430,8 @@ snapshots: iterator.prototype: 1.1.3 safe-array-concat: 1.1.2 + es-module-lexer@1.6.0: {} + es-object-atoms@1.0.0: dependencies: es-errors: 1.3.0 @@ -5178,6 +5682,8 @@ snapshots: dependencies: to-regex-range: 5.0.1 + find-root@1.1.0: {} + find-up@5.0.0: dependencies: locate-path: 6.0.0 @@ -5194,11 +5700,6 @@ snapshots: dependencies: is-callable: 1.2.7 - foreground-child@3.3.0: - dependencies: - cross-spawn: 7.0.5 - signal-exit: 4.1.0 - form-data@4.0.1: dependencies: asynckit: 0.4.0 @@ -5254,15 +5755,6 @@ snapshots: dependencies: is-glob: 4.0.3 - glob@10.4.5: - dependencies: - foreground-child: 3.3.0 - jackspeak: 3.4.3 - minimatch: 9.0.5 - minipass: 7.1.2 - package-json-from-dist: 1.0.1 - path-scurry: 1.11.1 - globals@11.12.0: {} globals@14.0.0: {} @@ -5330,25 +5822,27 @@ snapshots: dependencies: '@types/hast': 3.0.4 + hoist-non-react-statics@3.3.2: + dependencies: + react-is: 16.13.1 + html-encoding-sniffer@4.0.0: dependencies: whatwg-encoding: 3.1.1 - html-escaper@2.0.2: {} - html-url-attributes@3.0.1: {} http-proxy-agent@7.0.2: dependencies: agent-base: 7.1.1 - debug: 4.3.7 + debug: 4.4.0 transitivePeerDependencies: - supports-color https-proxy-agent@7.0.5: dependencies: agent-base: 7.1.1 - debug: 4.3.7 + debug: 4.4.0 transitivePeerDependencies: - supports-color @@ -5379,6 +5873,8 @@ snapshots: hasown: 2.0.2 side-channel: 1.0.6 + internmap@2.0.3: {} + is-alphabetical@2.0.1: {} is-alphanumerical@2.0.1: @@ -5416,6 +5912,10 @@ snapshots: dependencies: hasown: 2.0.2 + is-core-module@2.16.1: + dependencies: + hasown: 2.0.2 + is-data-view@1.0.1: dependencies: is-typed-array: 1.1.13 @@ -5432,8 +5932,6 @@ snapshots: dependencies: call-bind: 1.0.7 - is-fullwidth-code-point@3.0.0: {} - is-fullwidth-code-point@4.0.0: {} is-fullwidth-code-point@5.0.0: @@ -5504,27 +6002,6 @@ snapshots: isexe@2.0.0: {} - istanbul-lib-coverage@3.2.2: {} - - istanbul-lib-report@3.0.1: - dependencies: - istanbul-lib-coverage: 3.2.2 - make-dir: 4.0.0 - supports-color: 7.2.0 - - istanbul-lib-source-maps@5.0.6: - dependencies: - '@jridgewell/trace-mapping': 0.3.25 - debug: 4.3.7 - istanbul-lib-coverage: 3.2.2 - transitivePeerDependencies: - - supports-color - - istanbul-reports@3.1.7: - dependencies: - html-escaper: 2.0.2 - istanbul-lib-report: 3.0.1 - iterator.prototype@1.1.3: dependencies: define-properties: 1.2.1 @@ -5533,12 +6010,6 @@ snapshots: reflect.getprototypeof: 1.0.6 set-function-name: 2.0.2 - jackspeak@3.4.3: - dependencies: - '@isaacs/cliui': 8.0.2 - optionalDependencies: - '@pkgjs/parseargs': 0.11.0 - js-tokens@4.0.0: {} js-yaml@4.1.0: @@ -5655,34 +6126,22 @@ snapshots: dependencies: js-tokens: 4.0.0 - loupe@3.1.2: {} + loupe@3.1.3: {} lower-case@2.0.2: dependencies: tslib: 2.8.1 - lru-cache@10.4.3: {} - lru-cache@5.1.1: dependencies: yallist: 3.1.1 lz-string@1.5.0: {} - magic-string@0.30.12: + magic-string@0.30.17: dependencies: '@jridgewell/sourcemap-codec': 1.5.0 - magicast@0.3.5: - dependencies: - '@babel/parser': 7.26.2 - '@babel/types': 7.26.0 - source-map-js: 1.2.1 - - make-dir@4.0.0: - dependencies: - semver: 7.6.3 - markdown-table@3.0.4: {} mdast-util-find-and-replace@3.0.1: @@ -6014,7 +6473,7 @@ snapshots: micromark@4.0.1: dependencies: '@types/debug': 4.1.12 - debug: 4.3.7 + debug: 4.4.0 decode-named-character-reference: 1.0.2 devlop: 1.1.0 micromark-core-commonmark: 2.0.2 @@ -6058,8 +6517,6 @@ snapshots: dependencies: brace-expansion: 2.0.1 - minipass@7.1.2: {} - ms@2.1.3: {} nanoid@3.3.8: {} @@ -6138,8 +6595,6 @@ snapshots: dependencies: p-limit: 3.1.0 - package-json-from-dist@1.0.1: {} - parent-module@1.0.1: dependencies: callsites: 3.1.0 @@ -6173,11 +6628,6 @@ snapshots: path-parse@1.0.7: {} - path-scurry@1.11.1: - dependencies: - lru-cache: 10.4.3 - minipass: 7.1.2 - path-type@4.0.0: {} pathe@1.1.2: {} @@ -6553,11 +7003,6 @@ snapshots: react: 18.3.1 react-dom: 18.3.1(react@18.3.1) - react-chartjs-2@5.2.0(chart.js@4.4.6)(react@18.3.1): - dependencies: - chart.js: 4.4.6 - react: 18.3.1 - react-dom@18.3.1(react@18.3.1): dependencies: loose-envify: 1.4.0 @@ -6570,6 +7015,8 @@ snapshots: react-is@18.3.1: {} + react-is@19.0.0: {} + react-markdown@9.0.1(@types/react@18.3.12)(react@18.3.1): dependencies: '@types/hast': 3.0.4 @@ -6589,6 +7036,15 @@ snapshots: react-refresh@0.14.2: {} + react-transition-group@4.4.5(react-dom@18.3.1(react@18.3.1))(react@18.3.1): + dependencies: + '@babel/runtime': 7.26.7 + dom-helpers: 5.2.1 + loose-envify: 1.4.0 + prop-types: 15.8.1 + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + react@18.3.1: dependencies: loose-envify: 1.4.0 @@ -6661,6 +7117,12 @@ snapshots: resolve-pkg-maps@1.0.0: {} + resolve@1.22.10: + dependencies: + is-core-module: 2.16.1 + path-parse: 1.0.7 + supports-preserve-symlinks-flag: 1.0.0 + resolve@2.0.0-next.5: dependencies: is-core-module: 2.15.1 @@ -6676,6 +7138,8 @@ snapshots: rfdc@1.4.1: {} + robust-predicates@3.0.2: {} + rollup@4.31.0: dependencies: '@types/estree': 1.0.6 @@ -6788,6 +7252,8 @@ snapshots: source-map-js@1.2.1: {} + source-map@0.5.7: {} + space-separated-tokens@2.0.2: {} stackback@0.0.2: {} @@ -6798,18 +7264,6 @@ snapshots: string-convert@0.2.1: {} - string-width@4.2.3: - dependencies: - emoji-regex: 8.0.0 - is-fullwidth-code-point: 3.0.0 - strip-ansi: 6.0.1 - - string-width@5.1.2: - dependencies: - eastasianwidth: 0.2.0 - emoji-regex: 9.2.2 - strip-ansi: 7.1.0 - string-width@7.2.0: dependencies: emoji-regex: 10.4.0 @@ -6860,10 +7314,6 @@ snapshots: character-entities-html4: 2.1.0 character-entities-legacy: 3.0.0 - strip-ansi@6.0.1: - dependencies: - ansi-regex: 5.0.1 - strip-ansi@7.1.0: dependencies: ansi-regex: 6.1.0 @@ -6880,6 +7330,8 @@ snapshots: dependencies: inline-style-parser: 0.2.4 + stylis@4.2.0: {} + stylis@4.3.4: {} supports-color@7.2.0: @@ -6897,12 +7349,6 @@ snapshots: '@pkgr/core': 0.1.1 tslib: 2.8.1 - test-exclude@7.0.1: - dependencies: - '@istanbuljs/schema': 0.1.3 - glob: 10.4.5 - minimatch: 9.0.5 - text-table@0.2.0: {} throttle-debounce@5.0.2: {} @@ -6913,9 +7359,9 @@ snapshots: tinybench@2.9.0: {} - tinyexec@0.3.1: {} + tinyexec@0.3.2: {} - tinypool@1.0.1: {} + tinypool@1.0.2: {} tinyrainbow@1.2.0: {} @@ -7072,6 +7518,8 @@ snapshots: dependencies: react: 18.3.1 + uuid@11.0.5: {} + vfile-message@4.0.2: dependencies: '@types/unist': 3.0.3 @@ -7082,10 +7530,11 @@ snapshots: '@types/unist': 3.0.3 vfile-message: 4.0.2 - vite-node@2.1.4(@types/node@22.9.0): + vite-node@2.1.9(@types/node@22.9.0): dependencies: cac: 6.7.14 - debug: 4.3.7 + debug: 4.4.0 + es-module-lexer: 1.6.0 pathe: 1.1.2 vite: 5.4.12(@types/node@22.9.0) transitivePeerDependencies: @@ -7130,27 +7579,27 @@ snapshots: '@types/node': 22.9.0 fsevents: 2.3.3 - vitest@2.1.4(@types/node@22.9.0)(jsdom@25.0.1): + vitest@2.1.9(@types/node@22.9.0)(jsdom@25.0.1): dependencies: - '@vitest/expect': 2.1.4 - '@vitest/mocker': 2.1.4(vite@5.4.12(@types/node@22.9.0)) - '@vitest/pretty-format': 2.1.4 - '@vitest/runner': 2.1.4 - '@vitest/snapshot': 2.1.4 - '@vitest/spy': 2.1.4 - '@vitest/utils': 2.1.4 + '@vitest/expect': 2.1.9 + '@vitest/mocker': 2.1.9(vite@5.4.12(@types/node@22.9.0)) + '@vitest/pretty-format': 2.1.9 + '@vitest/runner': 2.1.9 + '@vitest/snapshot': 2.1.9 + '@vitest/spy': 2.1.9 + '@vitest/utils': 2.1.9 chai: 5.1.2 - debug: 4.3.7 + debug: 4.4.0 expect-type: 1.1.0 - magic-string: 0.30.12 + magic-string: 0.30.17 pathe: 1.1.2 std-env: 3.8.0 tinybench: 2.9.0 - tinyexec: 0.3.1 - tinypool: 1.0.1 + tinyexec: 0.3.2 + tinypool: 1.0.2 tinyrainbow: 1.2.0 vite: 5.4.12(@types/node@22.9.0) - vite-node: 2.1.4(@types/node@22.9.0) + vite-node: 2.1.9(@types/node@22.9.0) why-is-node-running: 2.3.0 optionalDependencies: '@types/node': 22.9.0 @@ -7234,18 +7683,6 @@ snapshots: word-wrap@1.2.5: {} - wrap-ansi@7.0.0: - dependencies: - ansi-styles: 4.3.0 - string-width: 4.2.3 - strip-ansi: 6.0.1 - - wrap-ansi@8.1.0: - dependencies: - ansi-styles: 6.2.1 - string-width: 5.1.2 - strip-ansi: 7.1.0 - wrap-ansi@9.0.0: dependencies: ansi-styles: 6.2.1 @@ -7260,6 +7697,8 @@ snapshots: yallist@3.1.1: {} + yaml@1.10.2: {} + yaml@2.5.1: {} yocto-queue@0.1.0: {} diff --git a/ui/src/api/chatApi.ts b/ui/src/api/chatApi.ts index 46931185..7daf3d71 100644 --- a/ui/src/api/chatApi.ts +++ b/ui/src/api/chatApi.ts @@ -67,7 +67,6 @@ export interface RagMessageV2 { export interface QueryConfiguration { exclude_knowledge_base: boolean; use_question_condensing: boolean; - use_hyde: boolean; } export interface ChatMutationRequest { @@ -90,6 +89,10 @@ export interface ChatMessageType { condensed_question?: string; } +export interface ChatResponseFeedback { + rating: boolean; +} + const placeholderChatResponseId = "placeholder"; export const isPlaceholder = (chatMessage: ChatMessageType): boolean => { @@ -203,6 +206,59 @@ export const createQueryConfiguration = ( return { exclude_knowledge_base: excludeKnowledgeBase, use_question_condensing: false, - use_hyde: false, }; }; + +export const useRatingMutation = ({ + onSuccess, + onError, +}: UseMutationType) => { + return useMutation({ + mutationKey: [MutationKeys.ratingMutation], + mutationFn: ratingMutation, + onSuccess: onSuccess, + onError: (error: Error) => onError?.(error), + }); +}; + +const ratingMutation = async ({ + sessionId, + responseId, + rating, +}: { + sessionId: string; + responseId: string; + rating: boolean; +}): Promise => { + return await postRequest( + `${llmServicePath}/sessions/${sessionId}/responses/${responseId}/rating`, + { rating }, + ); +}; + +export const useFeedbackMutation = ({ + onSuccess, + onError, +}: UseMutationType) => { + return useMutation({ + mutationKey: [MutationKeys.feedbackMutation], + mutationFn: feedbackMutation, + onSuccess: onSuccess, + onError: (error: Error) => onError?.(error), + }); +}; + +const feedbackMutation = async ({ + sessionId, + responseId, + feedback, +}: { + sessionId: string; + responseId: string; + feedback: string; +}): Promise => { + return await postRequest( + `${llmServicePath}/sessions/${sessionId}/responses/${responseId}/feedback`, + { feedback }, + ); +}; diff --git a/ui/src/api/metricsApi.ts b/ui/src/api/metricsApi.ts new file mode 100644 index 00000000..8945ad5a --- /dev/null +++ b/ui/src/api/metricsApi.ts @@ -0,0 +1,86 @@ +/******************************************************************************* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. ("Cloudera") to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + ******************************************************************************/ +import { useQuery } from "@tanstack/react-query"; +import { llmServicePath, postRequest, QueryKeys } from "src/api/utils.ts"; + +export interface MetricFilter { + data_source_id?: number; + inference_model?: string; + rerank_model?: string; + has_rerank_model?: boolean; + top_k?: number; + session_id?: number; + use_summary_filter?: boolean; + use_hyde?: boolean; + use_question_condensing?: boolean; + exclude_knowledge_base?: boolean; +} + +export interface MetadataMetrics { + number_of_data_sources: number; + number_of_sessions: number; + number_of_documents: number; +} + +export interface AppMetrics { + positive_ratings: number; + negative_ratings: number; + no_ratings: number; + count_of_interactions: number; + count_of_direct_interactions: number; + aggregated_feedback: Record; + unique_users: number; + max_score_over_time: [number, number][]; + input_word_count_over_time: [number, number][]; + output_word_count_over_time: [number, number][]; + evaluation_averages: Record; + metadata_metrics: MetadataMetrics; +} + +export const useGetMetrics = (metricFilter: MetricFilter) => { + return useQuery({ + queryKey: [QueryKeys.getMetricsByDataSource, metricFilter], + queryFn: () => getMetricsQuery(metricFilter), + }); +}; + +const getMetricsQuery = async ( + metricFilter: MetricFilter, +): Promise => { + return await postRequest(`${llmServicePath}/app-metrics`, metricFilter); +}; diff --git a/ui/src/api/ragQueryApi.ts b/ui/src/api/ragQueryApi.ts index e8207a64..89fe167a 100644 --- a/ui/src/api/ragQueryApi.ts +++ b/ui/src/api/ragQueryApi.ts @@ -90,6 +90,7 @@ export interface ChunkMetadata { row_number?: number; page_number?: string; chunk_format?: string; + header_path?: string; } export interface ChunkContentsResponse { diff --git a/ui/src/api/sessionApi.ts b/ui/src/api/sessionApi.ts index 19d75028..034ae2ba 100644 --- a/ui/src/api/sessionApi.ts +++ b/ui/src/api/sessionApi.ts @@ -49,6 +49,11 @@ import { UseMutationType, } from "src/api/utils.ts"; +interface SessionQueryConfiguration { + enableHyde: boolean; + enableSummaryFilter: boolean; +} + export interface Session { id: number; name: string; @@ -61,16 +66,22 @@ export interface Session { createdById: string; updatedById: string; lastInteractionTime: number; + queryConfiguration: SessionQueryConfiguration; } export type CreateSessionRequest = Pick< Session, - "name" | "dataSourceIds" | "inferenceModel" | "rerankModel" | "responseChunks" + | "name" + | "dataSourceIds" + | "inferenceModel" + | "rerankModel" + | "responseChunks" + | "queryConfiguration" >; export type UpdateSessionRequest = Pick< Session, - "responseChunks" | "inferenceModel" | "name" | "id" + "queryConfiguration" | "responseChunks" | "inferenceModel" | "name" | "id" >; export const getSessionsQueryOptions = queryOptions({ diff --git a/ui/src/api/utils.ts b/ui/src/api/utils.ts index 30f0b09d..d5b3411d 100644 --- a/ui/src/api/utils.ts +++ b/ui/src/api/utils.ts @@ -70,6 +70,8 @@ export enum MutationKeys { "visualizeDataSourceWithUserQuery" = "visualizeDataSourceWithUserQuery", "updateSession" = "updateSession", "testRerankingModel" = "testRerankingModel", + "ratingMutation" = "ratingMutation", + "feedbackMutation" = "feedbackMutation", } export enum QueryKeys { @@ -87,6 +89,7 @@ export enum QueryKeys { "getLlmModels" = "getLlmModels", "getEmbeddingModels" = "getEmbeddingModels", "getModelSource" = "getModelSource", + "getMetricsByDataSource" = "getMetricsByDataSource", "getVisualizeDataSource" = "getVisualizeDataSource", "getModelById" = "getModelById", "getRerankingModels" = "getRerankingModels", diff --git a/ui/src/components/Feedback/FeedbackModal.tsx b/ui/src/components/Feedback/FeedbackModal.tsx index 9975879c..37fbebe5 100644 --- a/ui/src/components/Feedback/FeedbackModal.tsx +++ b/ui/src/components/Feedback/FeedbackModal.tsx @@ -46,7 +46,7 @@ const FeedbackModal = ({ handleCancel: () => void; }) => ( { return; }; + const navToAnalytics = () => { + navigate({ to: "/analytics" }) + .then(() => null) + .catch(() => null); + }; + const navToModels = () => { navigate({ to: "/models" }) .then(() => null) @@ -178,20 +185,27 @@ const Sidebar: React.FC = () => { ]; const models = getItem( -
Models
, +
Models
, "models", navToModels, , ); + const analyticsItem = getItem( +
Analytics
, + "analytics", + navToAnalytics, + , + ); + const feedbackItem = getItem( -
Leave Feedback
, +
Leave Feedback
, "leave-feedback", popupFeedback, , ); - const items = [...baseItems, models, feedbackItem]; + const items = [...baseItems, models, analyticsItem, feedbackItem]; function chooseRoute() { if (matchRoute({ to: "/data", fuzzy: true })) { @@ -200,6 +214,8 @@ const Sidebar: React.FC = () => { return ["chat"]; } else if (matchRoute({ to: "/models", fuzzy: true })) { return ["models"]; + } else if (matchRoute({ to: "/analytics", fuzzy: true })) { + return ["analytics"]; } else { return ["chat"]; } diff --git a/ui/src/layout/TopNav.tsx b/ui/src/layout/TopNav.tsx index fdf7ac04..13ec7106 100644 --- a/ui/src/layout/TopNav.tsx +++ b/ui/src/layout/TopNav.tsx @@ -41,6 +41,7 @@ import { CloudOutlined, DatabaseFilled, DesktopOutlined, + LineChartOutlined, } from "@ant-design/icons"; import { Flex, Menu, MenuProps, Tag, Typography } from "antd"; import { useMatchRoute, useNavigate } from "@tanstack/react-router"; @@ -72,6 +73,12 @@ const TopNav: React.FC = () => { return; }; + const navToAnalytics = () => { + navigate({ to: "/analytics" }) + .then(() => null) + .catch(() => null); + }; + const navToModels = () => { navigate({ to: "/models" }) .then(() => null) @@ -135,20 +142,27 @@ const TopNav: React.FC = () => { ]; const models = getItem( - Models, + Models, "models", navToModels, , ); + const analyticsItem = getItem( + Analytics, + "analytics", + navToAnalytics, + , + ); + const feedbackItem = getItem( - Leave Feedback, + Leave Feedback, "leave-feedback", popupFeedback, , ); - const items = [...baseItems, models, feedbackItem]; + const items = [...baseItems, models, analyticsItem, feedbackItem]; function chooseRoute() { if (matchRoute({ to: "/data", fuzzy: true })) { @@ -157,6 +171,8 @@ const TopNav: React.FC = () => { return ["chat"]; } else if (matchRoute({ to: "/models", fuzzy: true })) { return ["models"]; + } else if (matchRoute({ to: "/analytics", fuzzy: true })) { + return ["analytics"]; } else { return ["chat"]; } diff --git a/ui/src/pages/Analytics/AnalyticsPage.tsx b/ui/src/pages/Analytics/AnalyticsPage.tsx new file mode 100644 index 00000000..f74c0a76 --- /dev/null +++ b/ui/src/pages/Analytics/AnalyticsPage.tsx @@ -0,0 +1,170 @@ +/******************************************************************************* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. ("Cloudera") to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + ******************************************************************************/ +import Metrics from "pages/Analytics/Metrics.tsx"; +import { + Collapse, + Divider, + Flex, + Form, + FormInstance, + Select, + Typography, +} from "antd"; +import { transformModelOptions } from "src/utils/modelUtils.ts"; +import { useGetLlmModels, useGetRerankingModels } from "src/api/modelsApi.ts"; +import { MetricFilter } from "src/api/metricsApi.ts"; +import MetadataMetrics from "pages/Analytics/AppMetrics.tsx"; + +const BooleanFilterOption = ({ + name, + label, +}: { + name: string; + label: string; +}) => { + return ( + + + + ); +}; + +const MetricFilterOptions = ({ + metricFilterForm, +}: { + metricFilterForm: FormInstance; +}) => { + const { data: llmModels } = useGetLlmModels(); + const { data: rerankingModels } = useGetRerankingModels(); + + return ( +
+ + + + + + + ); +}; + +const AnalyticsPage = () => { + const [form] = Form.useForm(); + Form.useWatch((values) => { + return values; + }, form); + + function transFormValues() { + const values = form.getFieldsValue(); + if (values.rerank_model === "none") { + values.has_rerank_model = false; + values.rerank_model = undefined; + } + return values; + } + + return ( + + + App Metrics + + + + Session Metrics + + , + }, + ]} + /> + ; + + + ); +}; + +export default AnalyticsPage; diff --git a/ui/src/pages/Analytics/AppMetrics.tsx b/ui/src/pages/Analytics/AppMetrics.tsx new file mode 100644 index 00000000..6cdf2298 --- /dev/null +++ b/ui/src/pages/Analytics/AppMetrics.tsx @@ -0,0 +1,73 @@ +/******************************************************************************* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. ("Cloudera") to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + ******************************************************************************/ +import { Col, Flex, Row, Statistic } from "antd"; +import { useGetMetrics } from "src/api/metricsApi.ts"; + +const AppMetrics = () => { + const { data, isLoading } = useGetMetrics({}); + + return ( + + + + + + + + + + + + + + ); +}; + +export default AppMetrics; diff --git a/ui/src/pages/Analytics/Metrics.tsx b/ui/src/pages/Analytics/Metrics.tsx new file mode 100644 index 00000000..a69f2bc3 --- /dev/null +++ b/ui/src/pages/Analytics/Metrics.tsx @@ -0,0 +1,228 @@ +/******************************************************************************* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. (“Cloudera”) to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + ******************************************************************************/ +import { Col, Flex, Row, Statistic, Typography } from "antd"; +import { DislikeOutlined, LikeOutlined } from "@ant-design/icons"; +import { BarChart } from "@mui/x-charts/BarChart"; +import { axisClasses } from "@mui/x-charts"; +import { ScatterChart } from "@mui/x-charts/ScatterChart"; +import { MetricFilter, useGetMetrics } from "src/api/metricsApi.ts"; + +const labels = [ + "Inaccurate", + "Not helpful", + "Out of date", + "Too short", + "Too long", + "Other", +]; + +const Metrics = ({ metricFilter }: { metricFilter: MetricFilter }) => { + const { data, isLoading } = useGetMetrics(metricFilter); + + const maxScoreData = + data?.max_score_over_time + .map((entry, index) => { + return { + timestamp: entry[0], + maxScore: entry[1], + key: index, + }; + }) + .reverse() ?? []; + + const barchartData = [ + { + data: labels.map((label) => { + return data?.aggregated_feedback[label] ?? 0; + }), + }, + ]; + const yValues = data?.max_score_over_time.map((value) => value[1]); + const yAxisMinValue = yValues ? Math.min(...yValues, 0) : 0; + const xAxisMinValue = yValues ? Math.max(...yValues, 1) : 1; + const interval = (xAxisMinValue - yAxisMinValue) / 5.0; + const ticks: number[] = []; + for (let i = 0; i <= xAxisMinValue; i += interval) { + ticks.push(i); + } + return ( + + Inference Metrics + + + + + + + + + + + + Feedback metrics + + + } + /> + + + } + /> + + + + + + + + + + + + Auto evaluation metric averages + + + {data?.evaluation_averages + ? Object.entries(data.evaluation_averages).map(([key, value]) => { + return ( + + + + ); + }) + : null} + + Chunk relevance over time + + + value.y.toFixed(2).toString(), + }, + ]} + disableVoronoi={true} + dataset={maxScoreData} + height={300} + /> + + + {/*TODO: visualize max score, input count, and output counts over time?*/} + + ); +}; + +export default Metrics; diff --git a/ui/src/pages/DataSources/MetricsTab/MetricsTab.tsx b/ui/src/pages/DataSources/MetricsTab/MetricsTab.tsx new file mode 100644 index 00000000..585745be --- /dev/null +++ b/ui/src/pages/DataSources/MetricsTab/MetricsTab.tsx @@ -0,0 +1,48 @@ +/******************************************************************************* + * CLOUDERA APPLIED MACHINE LEARNING PROTOTYPE (AMP) + * (C) Cloudera, Inc. 2024 + * All rights reserved. + * + * Applicable Open Source License: Apache 2.0 + * + * NOTE: Cloudera open source products are modular software products + * made up of hundreds of individual components, each of which was + * individually copyrighted. Each Cloudera open source product is a + * collective work under U.S. Copyright Law. Your license to use the + * collective work is as provided in your written agreement with + * Cloudera. Used apart from the collective work, this file is + * licensed for your use pursuant to the open source license + * identified above. + * + * This code is provided to you pursuant a written agreement with + * (i) Cloudera, Inc. or (ii) a third-party authorized to distribute + * this code. If you do not have a written agreement with Cloudera nor + * with an authorized and properly licensed third party, you do not + * have any rights to access nor to use this code. + * + * Absent a written agreement with Cloudera, Inc. ("Cloudera") to the + * contrary, A) CLOUDERA PROVIDES THIS CODE TO YOU WITHOUT WARRANTIES OF ANY + * KIND; (B) CLOUDERA DISCLAIMS ANY AND ALL EXPRESS AND IMPLIED + * WARRANTIES WITH RESPECT TO THIS CODE, INCLUDING BUT NOT LIMITED TO + * IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY AND + * FITNESS FOR A PARTICULAR PURPOSE; (C) CLOUDERA IS NOT LIABLE TO YOU, + * AND WILL NOT DEFEND, INDEMNIFY, NOR HOLD YOU HARMLESS FOR ANY CLAIMS + * ARISING FROM OR RELATED TO THE CODE; AND (D)WITH RESPECT TO YOUR EXERCISE + * OF ANY RIGHTS GRANTED TO YOU FOR THE CODE, CLOUDERA IS NOT LIABLE FOR ANY + * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, PUNITIVE OR + * CONSEQUENTIAL DAMAGES INCLUDING, BUT NOT LIMITED TO, DAMAGES + * RELATED TO LOST REVENUE, LOST PROFITS, LOSS OF INCOME, LOSS OF + * BUSINESS ADVANTAGE OR UNAVAILABILITY, OR LOSS OR CORRUPTION OF + * DATA. + ******************************************************************************/ +import { useContext } from "react"; +import { DataSourceContext } from "pages/DataSources/Layout.tsx"; +import Metrics from "pages/Analytics/Metrics.tsx"; + +const MetricsTab = () => { + const { dataSourceId } = useContext(DataSourceContext); + + return ; +}; + +export default MetricsTab; diff --git a/ui/src/pages/DataSources/Tabs.tsx b/ui/src/pages/DataSources/Tabs.tsx index edfc1fcd..62bed703 100644 --- a/ui/src/pages/DataSources/Tabs.tsx +++ b/ui/src/pages/DataSources/Tabs.tsx @@ -40,10 +40,10 @@ import { Flex, Tabs, TabsProps } from "antd"; import FileManagement from "pages/DataSources/ManageTab/FileManagement.tsx"; import IndexSettings from "pages/DataSources/IndexSettingsTab/IndexSettings.tsx"; import DataSourceConnections from "pages/DataSources/DataSourceConnectionsTab/DataSourceConnections.tsx"; -import "chart.js/auto"; import DataSourceVisualization from "pages/DataSources/VisualizationTab/DataSourceVisualization.tsx"; import { useLocation, useNavigate } from "@tanstack/react-router"; import { useEffect } from "react"; +import MetricsTab from "pages/DataSources/MetricsTab/MetricsTab.tsx"; export const tabItems: TabsProps["items"] = [ { @@ -61,6 +61,11 @@ export const tabItems: TabsProps["items"] = [ label: "Connections", children: , }, + { + key: "metrics", + label: "Metrics", + children: , + }, { key: "visualize", label: "Visualize", diff --git a/ui/src/pages/DataSources/VisualizationTab/VectorGraph.tsx b/ui/src/pages/DataSources/VisualizationTab/VectorGraph.tsx index 559a08ce..4819c1ad 100644 --- a/ui/src/pages/DataSources/VisualizationTab/VectorGraph.tsx +++ b/ui/src/pages/DataSources/VisualizationTab/VectorGraph.tsx @@ -37,42 +37,64 @@ ******************************************************************************/ import { Point2d } from "src/api/dataSourceApi.ts"; -import { Scatter } from "react-chartjs-2"; -import { ChartDataset, Point } from "chart.js"; import { Skeleton } from "antd"; +import { ScatterChart } from "@mui/x-charts/ScatterChart"; +import { ScatterSeriesType } from "@mui/x-charts"; +import { v4 as uuidv4 } from "uuid"; +import { cdlOrange500 } from "src/cuix/variables.ts"; +import { useMemo } from "react"; -type DataSets = ChartDataset<"scatter", (number | Point | null)[]>[]; +interface PointsTypeValue { + x: number; + y: number; + id: string; +} +type PointsType = Record; -const colors = [ - "rgba(255, 99, 132)", - "rgba(54, 162, 235)", - "rgba(255, 206, 86)", - "rgba(75, 192, 192)", - "rgba(153, 102, 255)", - "rgba(255, 159, 64)", - "rgba(199, 199, 199)", - "rgba(83, 102, 255)", - "rgba(255, 99, 255)", - "rgba(99, 255, 132)", - "rgba(255, 99, 71)", - "rgba(60, 179, 113)", - "rgba(123, 104, 238)", - "rgba(255, 215, 0)", - "rgba(0, 191, 255)", - "rgba(255, 69, 0)", - "rgba(138, 43, 226)", - "rgba(0, 255, 127)", - "rgba(70, 130, 180)", - "rgba(255, 20, 147)", -]; +const sharedSeriesProps: Pick< + ScatterSeriesType, + "type" | "valueFormatter" | "highlightScope" +> = { + type: "scatter", + valueFormatter: () => null, + highlightScope: { + highlight: "series", + fade: "global", + }, +}; -const hashStringToIndex = (str: string): number => { - let hash = 0; - for (let i = 0; i < str.length; i++) { - hash = (hash << 5) - hash + str.charCodeAt(i); - hash |= 0; // Convert to 32bit integer - } - return Math.abs(hash % colors.length); +const prepareData = ( + rawData: Point2d[], + userInput: string, +): ScatterSeriesType[] => { + const points: PointsType = {}; + + rawData.forEach((d: Point2d, index) => { + if (d[1] in points) { + points[d[1]].push({ x: d[0][0], y: d[0][1], id: index.toString() }); + } else { + points[d[1]] = [{ x: d[0][0], y: d[0][1], id: index.toString() }]; + } + }); + + const formatSeries = ([fileName, points]: [ + keyof PointsType, + PointsTypeValue[], + ]): ScatterSeriesType => { + const id = uuidv4(); + const overrideColor = + fileName === "USER_QUERY" ? { color: cdlOrange500 } : {}; + return { + label: fileName === "USER_QUERY" ? `Query: ${userInput}` : fileName, + id, + data: points, + markerSize: fileName === "USER_QUERY" ? 9 : 3, + ...overrideColor, + ...sharedSeriesProps, + }; + }; + + return Object.entries(points).map(formatSeries); }; const VectorGraph = ({ @@ -84,34 +106,9 @@ const VectorGraph = ({ userInput: string; loading: boolean; }) => { - const points: Record = {}; - - rawData.forEach((d: Point2d) => { - if (d[1] in points) { - points[d[1]].push({ x: d[0][0], y: d[0][1] }); - } else { - points[d[1]] = [{ x: d[0][0], y: d[0][1] }]; - } - }); - - const pickColor = (label: string) => colors[hashStringToIndex(label)]; - - const vizDatasets: DataSets = Object.entries(points).map( - ([label, points]) => { - const userQuery = label === "USER_QUERY"; - const color = pickColor(label); - return { - label: userQuery ? `Query: ${userInput}` : label, - data: points, - backgroundColor: userQuery ? "lightgray" : color, - borderColor: userQuery ? "black" : color, - borderWidth: 1, - pointStyle: userQuery ? "circle" : "circle", - pointRadius: userQuery ? 15 : 3, - pointHoverRadius: userQuery ? 15 : 8, - pointHoverBackgroundColor: "black", - }; - }, + const series = useMemo( + () => prepareData(rawData, userInput), + [rawData, userInput], ); if (loading) { @@ -119,29 +116,16 @@ const VectorGraph = ({ } return ( - "", - }, - }, + ); }; diff --git a/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/ChatBodyController.test.tsx b/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/ChatBodyController.test.tsx index 953e5476..9bafd8b7 100644 --- a/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/ChatBodyController.test.tsx +++ b/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/ChatBodyController.test.tsx @@ -44,6 +44,7 @@ import { } from "pages/RagChatTab/State/RagChatContext"; import ChatBodyController from "./ChatBodyController"; import { ConnectionType } from "src/api/dataSourceApi.ts"; +import { Session } from "src/api/sessionApi.ts"; const testDataSource = { id: 1, @@ -56,7 +57,7 @@ const testDataSource = { chunkOverlapPercent: 0, }; -const testSession = { +const testSession: Session = { dataSourceIds: [1], id: 1, name: "session name", @@ -67,6 +68,10 @@ const testSession = { lastInteractionTime: 123, responseChunks: 5, inferenceModel: "", + queryConfiguration: { + enableHyde: false, + enableSummaryFilter: false, + }, }; describe("ChatBodyController", () => { @@ -96,6 +101,22 @@ describe("ChatBodyController", () => { })), })); + vi.mock("src/api/chatApi.ts", () => ({ + useRatingMutation: vi.fn(() => ({ + data: { + rating: 0, + }, + isLoading: false, + })), + useFeedbackMutation: vi.fn(() => ({ + data: { + feedback: "hello", + }, + isLoading: false, + })), + isPlaceholder: vi.fn(() => false), + })); + afterEach(() => { cleanup(); }); @@ -118,6 +139,10 @@ describe("ChatBodyController", () => { lastInteractionTime: 0, responseChunks: 5, inferenceModel: "", + queryConfiguration: { + enableHyde: false, + enableSummaryFilter: false, + }, }, }; @@ -173,6 +198,7 @@ describe("ChatBodyController", () => { }, ], }, + activeSession: testSession, }); expect(screen.getByTestId("chat-message")).toBeTruthy(); diff --git a/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/ChatMessage.tsx b/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/ChatMessage.tsx index a565e064..17cc4607 100644 --- a/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/ChatMessage.tsx +++ b/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/ChatMessage.tsx @@ -44,6 +44,11 @@ import { cdlBlue500, cdlGray200 } from "src/cuix/variables.ts"; import UserQuestion from "pages/RagChatTab/ChatOutput/ChatMessages/UserQuestion.tsx"; import { Evaluations } from "pages/RagChatTab/ChatOutput/ChatMessages/Evaluations.tsx"; import Images from "src/components/images/Images.ts"; +import RatingFeedbackWrapper from "pages/RagChatTab/ChatOutput/ChatMessages/RatingFeedbackWrapper.tsx"; +import Remark from "remark-gfm"; +import Markdown from "react-markdown"; + +import "../tableMarkdown.css"; const ChatMessage = ({ data, @@ -94,12 +99,19 @@ const ChatMessage = ({ - - {data.rag_message.assistant.trimStart()} + + + {data.rag_message.assistant.trimStart()} + - + + + + diff --git a/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/Evaluations.tsx b/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/Evaluations.tsx index dd9edb55..26a80c28 100644 --- a/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/Evaluations.tsx +++ b/ui/src/pages/RagChatTab/ChatOutput/ChatMessages/Evaluations.tsx @@ -37,11 +37,11 @@ ******************************************************************************/ import { Evaluation } from "src/api/chatApi.ts"; -import { Flex } from "antd"; import EvaluationMetric from "pages/RagChatTab/ChatOutput/ChatMessages/EvaluationMetric.tsx"; +import { Flex } from "antd"; export const Evaluations = (props: { evaluations: Evaluation[] }) => ( - + {props.evaluations.map((evaluation, index) => { return ( >; +}) => { + const session = useContext(RagChatContext).activeSession; + const [showCustomFeedbackInput, setShowCustomFeedbackInput] = useState(false); + const [feedbackSubmitted, setFeedbackSubmitted] = useState(false); + + const { mutate: feedbackMutate } = useFeedbackMutation({ + onSuccess: () => { + setShowFeedbackInput(false); + setShowCustomFeedbackInput(false); + setFeedbackSubmitted(true); + }, + onError: () => { + messageQueue.error("Failed submit feedback"); + }, + }); + + useEffect(() => { + if (feedbackSubmitted) { + const timer = setTimeout(() => { + setFeedbackSubmitted(false); + }, 3000); + return () => { + clearTimeout(timer); + }; + } + }, [feedbackSubmitted, setFeedbackSubmitted]); + + const handleSubmitFeedbackInput = (value: string) => { + if (!session) { + return; + } + if (value === "Other") { + setShowFeedbackInput(false); + setShowCustomFeedbackInput(true); + } else { + feedbackMutate({ + sessionId: session.id.toString(), + responseId, + feedback: value, + }); + setShowFeedbackInput(false); + } + }; + + const handleSubmitCustomFeedbackInput = (value: string) => { + if (!session) { + return; + } + feedbackMutate({ + sessionId: session.id.toString(), + responseId, + feedback: value, + }); + setShowCustomFeedbackInput(false); + }; + + const handleClickBackOnCustomFeedbackInput = () => { + setShowFeedbackInput(true); + setShowCustomFeedbackInput(false); + }; + + return ( + + {showCustomFeedbackInput ? ( +