From cbd5fd4fc06f5dfeefe028ba2536d64e9056c299 Mon Sep 17 00:00:00 2001 From: adesousa_microsoft Date: Mon, 8 Jul 2024 13:00:42 -0700 Subject: [PATCH] setup repos with most recent version of project --- .devcontainer/devcontainer.json | 33 + .env.sample | 119 + .gitattributes | 3 + .github/ISSUE_TEMPLATE/bug_report.md | 32 + .github/ISSUE_TEMPLATE/feature_request.md | 26 + .github/acl/access.yml | 10 + .github/compliance/inventory.yml | 5 + .github/dependabot.yml | 11 + .github/policies/jit.yml | 19 + .github/pull_request_template.md | 25 + .github/workflows/node.js.yml | 34 + .github/workflows/python-app.yml | 50 + .github/workflows/sample-app-github-cd.yml | 78 + .gitignore | 10 + .vscode/launch.json | 32 + README.md | 271 +- README_azd.md | 73 + SECURITY.md | 16 +- SUPPORT.md | 16 +- TEST_CASE_FLOWS.md | 77 + WebApp.Dockerfile | 31 + WebApp.dockerignore | 5 + app.py | 1011 + azure.yaml | 45 + backend/auth/__init__.py | 0 backend/auth/auth_utils.py | 20 + backend/auth/sample_user.py | 39 + backend/history/cosmosdbservice.py | 183 + backend/security/__init__.py | 0 backend/security/ms_defender_utils.py | 11 + backend/settings.py | 734 + backend/utils.py | 214 + frontend/.eslintignore | 4 + frontend/.eslintrc.json | 94 + frontend/.prettierignore | 4 + frontend/.prettierrc.json | 13 + frontend/eslint.config.ts | 20 + frontend/index.html | 13 + frontend/jest.config.ts | 11 + frontend/package-lock.json | 27027 ++++++++++++++++ frontend/package.json | 74 + frontend/polyfills.js | 3 + frontend/public/favicon.ico | Bin 0 -> 269342 bytes frontend/src/api/api.ts | 391 + frontend/src/api/index.ts | 2 + frontend/src/api/models.ts | 179 + frontend/src/assets/Azure.svg | 23 + frontend/src/assets/ClearChat.svg | 5 + frontend/src/assets/Contoso.svg | 25 + frontend/src/assets/Generate.svg | 3 + frontend/src/assets/Send.svg | 10 + .../src/components/Answer/Answer.module.css | 203 + frontend/src/components/Answer/Answer.tsx | 415 + .../components/Answer/AnswerParser.test.ts | 70 + .../src/components/Answer/AnswerParser.tsx | 52 + frontend/src/components/Answer/index.ts | 1 + .../ChatHistory/ChatHistoryList.tsx | 86 + .../ChatHistory/ChatHistoryListItem.tsx | 395 + .../ChatHistory/ChatHistoryPanel.module.css | 79 + .../ChatHistory/ChatHistoryPanel.tsx | 235 + .../src/components/DraftCards/SectionCard.tsx | 201 + .../src/components/DraftCards/TitleCard.tsx | 19 + .../components/FeatureCard/FeatureCard.tsx | 80 + .../QuestionInput/QuestionInput.module.css | 64 + .../QuestionInput/QuestionInput.tsx | 77 + .../src/components/QuestionInput/index.ts | 1 + .../src/components/Sidebar/Sidebar.module.css | 37 + frontend/src/components/Sidebar/Sidebar.tsx | 65 + .../src/components/common/Button.module.css | 48 + frontend/src/components/common/Button.tsx | 30 + frontend/src/constants/chatHistory.tsx | 492 + frontend/src/constants/xssAllowTags.ts | 44 + frontend/src/index.css | 29 + frontend/src/index.tsx | 38 + frontend/src/pages/NoPage.tsx | 5 + frontend/src/pages/chat/Chat.module.css | 388 + frontend/src/pages/chat/Chat.tsx | 1004 + frontend/src/pages/draft/Draft.module.css | 9 + frontend/src/pages/draft/Draft.tsx | 26 + frontend/src/pages/landing/Landing.module.css | 80 + frontend/src/pages/landing/Landing.tsx | 53 + frontend/src/pages/layout/Layout.module.css | 156 + frontend/src/pages/layout/Layout.tsx | 149 + frontend/src/state/AppProvider.tsx | 165 + frontend/src/state/AppReducer.tsx | 99 + frontend/src/vite-env.d.ts | 1 + frontend/tsconfig.json | 23 + frontend/tsconfig.node.json | 9 + frontend/vite.config.ts | 18 + gunicorn.conf.py | 13 + infra/abbreviations.json | 135 + infra/core/ai/cognitiveservices.bicep | 43 + .../core/database/cosmos/cosmos-account.bicep | 33 + .../cosmos/sql/cosmos-sql-account.bicep | 18 + .../database/cosmos/sql/cosmos-sql-db.bicep | 71 + .../cosmos/sql/cosmos-sql-role-assign.bicep | 19 + .../cosmos/sql/cosmos-sql-role-def.bicep | 30 + infra/core/host/appservice.bicep | 137 + infra/core/host/appserviceplan.bicep | 21 + infra/core/search/search-services.bicep | 43 + infra/core/security/role.bicep | 20 + infra/core/storage/storage-account.bicep | 58 + infra/db.bicep | 33 + infra/docprep.bicep | 52 + infra/main.bicep | 334 + infra/main.parameters.json | 48 + infrastructure/deployment.json | 687 + package-lock.json | 6 + requirements-dev.txt | 14 + requirements.txt | 12 + scripts/.env.sample | 21 + scripts/aml_config.json | 12 + scripts/auth_init.ps1 | 11 + scripts/auth_init.py | 94 + scripts/auth_init.sh | 6 + scripts/auth_update.ps1 | 10 + scripts/auth_update.py | 48 + scripts/auth_update.sh | 6 + scripts/chunk_documents.py | 94 + scripts/chunk_documents.yml | 25 + scripts/conda.yml | 21 + scripts/config.json | 14 + scripts/config_multiple_url.json | 22 + scripts/cosmos_config.json | 16 + .../cosmos_mongo_vcore_data_preparation.py | 258 + scripts/data_preparation.py | 478 + scripts/data_utils.py | 1102 + scripts/datastore.yml | 8 + scripts/embed_documents.py | 67 + scripts/embed_documents.yml | 25 + scripts/loadenv.ps1 | 39 + scripts/loadenv.sh | 23 + scripts/pinecone_config.json | 10 + scripts/pinecone_data_preparation.py | 226 + scripts/pipeline.yml | 52 + scripts/prepdocs.ps1 | 11 + scripts/prepdocs.py | 236 + scripts/prepdocs.sh | 6 + scripts/push_documents_acs.yml | 21 + scripts/push_only_pipeline.yml | 25 + scripts/push_to_acs.py | 69 + scripts/readme.md | 192 + scripts/role_assignment.sh | 105 + scripts/run_batch_create_index.py | 72 + scripts/validate-oyd-vnet.sh | 432 + start.cmd | 42 + start.sh | 34 + tests/conftest.py | 0 tests/integration_tests/conftest.py | 28 + .../dotenv_templates/dotenv.jinja2 | 79 + tests/integration_tests/test_datasources.py | 147 + .../integration_tests/test_startup_scripts.py | 40 + .../dotenv_data/dotenv_no_datasource_1 | 13 + .../dotenv_data/dotenv_no_datasource_2 | 14 + .../dotenv_with_azure_search_success | 37 + .../dotenv_with_elasticsearch_success | 33 + tests/unit_tests/test_settings.py | 72 + tests/unit_tests/test_utils.py | 29 + tools/data_collection.py | 110 + 159 files changed, 42412 insertions(+), 30 deletions(-) create mode 100644 .devcontainer/devcontainer.json create mode 100644 .env.sample create mode 100644 .gitattributes create mode 100644 .github/ISSUE_TEMPLATE/bug_report.md create mode 100644 .github/ISSUE_TEMPLATE/feature_request.md create mode 100644 .github/acl/access.yml create mode 100644 .github/compliance/inventory.yml create mode 100644 .github/dependabot.yml create mode 100644 .github/policies/jit.yml create mode 100644 .github/pull_request_template.md create mode 100644 .github/workflows/node.js.yml create mode 100644 .github/workflows/python-app.yml create mode 100644 .github/workflows/sample-app-github-cd.yml create mode 100644 .gitignore create mode 100644 .vscode/launch.json create mode 100644 README_azd.md create mode 100644 TEST_CASE_FLOWS.md create mode 100644 WebApp.Dockerfile create mode 100644 WebApp.dockerignore create mode 100644 app.py create mode 100644 azure.yaml create mode 100644 backend/auth/__init__.py create mode 100644 backend/auth/auth_utils.py create mode 100644 backend/auth/sample_user.py create mode 100644 backend/history/cosmosdbservice.py create mode 100644 backend/security/__init__.py create mode 100644 backend/security/ms_defender_utils.py create mode 100644 backend/settings.py create mode 100644 backend/utils.py create mode 100644 frontend/.eslintignore create mode 100644 frontend/.eslintrc.json create mode 100644 frontend/.prettierignore create mode 100644 frontend/.prettierrc.json create mode 100644 frontend/eslint.config.ts create mode 100644 frontend/index.html create mode 100644 frontend/jest.config.ts create mode 100644 frontend/package-lock.json create mode 100644 frontend/package.json create mode 100644 frontend/polyfills.js create mode 100644 frontend/public/favicon.ico create mode 100644 frontend/src/api/api.ts create mode 100644 frontend/src/api/index.ts create mode 100644 frontend/src/api/models.ts create mode 100644 frontend/src/assets/Azure.svg create mode 100644 frontend/src/assets/ClearChat.svg create mode 100644 frontend/src/assets/Contoso.svg create mode 100644 frontend/src/assets/Generate.svg create mode 100644 frontend/src/assets/Send.svg create mode 100644 frontend/src/components/Answer/Answer.module.css create mode 100644 frontend/src/components/Answer/Answer.tsx create mode 100644 frontend/src/components/Answer/AnswerParser.test.ts create mode 100644 frontend/src/components/Answer/AnswerParser.tsx create mode 100644 frontend/src/components/Answer/index.ts create mode 100644 frontend/src/components/ChatHistory/ChatHistoryList.tsx create mode 100644 frontend/src/components/ChatHistory/ChatHistoryListItem.tsx create mode 100644 frontend/src/components/ChatHistory/ChatHistoryPanel.module.css create mode 100644 frontend/src/components/ChatHistory/ChatHistoryPanel.tsx create mode 100644 frontend/src/components/DraftCards/SectionCard.tsx create mode 100644 frontend/src/components/DraftCards/TitleCard.tsx create mode 100644 frontend/src/components/FeatureCard/FeatureCard.tsx create mode 100644 frontend/src/components/QuestionInput/QuestionInput.module.css create mode 100644 frontend/src/components/QuestionInput/QuestionInput.tsx create mode 100644 frontend/src/components/QuestionInput/index.ts create mode 100644 frontend/src/components/Sidebar/Sidebar.module.css create mode 100644 frontend/src/components/Sidebar/Sidebar.tsx create mode 100644 frontend/src/components/common/Button.module.css create mode 100644 frontend/src/components/common/Button.tsx create mode 100644 frontend/src/constants/chatHistory.tsx create mode 100644 frontend/src/constants/xssAllowTags.ts create mode 100644 frontend/src/index.css create mode 100644 frontend/src/index.tsx create mode 100644 frontend/src/pages/NoPage.tsx create mode 100644 frontend/src/pages/chat/Chat.module.css create mode 100644 frontend/src/pages/chat/Chat.tsx create mode 100644 frontend/src/pages/draft/Draft.module.css create mode 100644 frontend/src/pages/draft/Draft.tsx create mode 100644 frontend/src/pages/landing/Landing.module.css create mode 100644 frontend/src/pages/landing/Landing.tsx create mode 100644 frontend/src/pages/layout/Layout.module.css create mode 100644 frontend/src/pages/layout/Layout.tsx create mode 100644 frontend/src/state/AppProvider.tsx create mode 100644 frontend/src/state/AppReducer.tsx create mode 100644 frontend/src/vite-env.d.ts create mode 100644 frontend/tsconfig.json create mode 100644 frontend/tsconfig.node.json create mode 100644 frontend/vite.config.ts create mode 100644 gunicorn.conf.py create mode 100644 infra/abbreviations.json create mode 100644 infra/core/ai/cognitiveservices.bicep create mode 100644 infra/core/database/cosmos/cosmos-account.bicep create mode 100644 infra/core/database/cosmos/sql/cosmos-sql-account.bicep create mode 100644 infra/core/database/cosmos/sql/cosmos-sql-db.bicep create mode 100644 infra/core/database/cosmos/sql/cosmos-sql-role-assign.bicep create mode 100644 infra/core/database/cosmos/sql/cosmos-sql-role-def.bicep create mode 100644 infra/core/host/appservice.bicep create mode 100644 infra/core/host/appserviceplan.bicep create mode 100644 infra/core/search/search-services.bicep create mode 100644 infra/core/security/role.bicep create mode 100644 infra/core/storage/storage-account.bicep create mode 100644 infra/db.bicep create mode 100644 infra/docprep.bicep create mode 100644 infra/main.bicep create mode 100644 infra/main.parameters.json create mode 100644 infrastructure/deployment.json create mode 100644 package-lock.json create mode 100644 requirements-dev.txt create mode 100644 requirements.txt create mode 100644 scripts/.env.sample create mode 100644 scripts/aml_config.json create mode 100755 scripts/auth_init.ps1 create mode 100644 scripts/auth_init.py create mode 100755 scripts/auth_init.sh create mode 100644 scripts/auth_update.ps1 create mode 100755 scripts/auth_update.py create mode 100755 scripts/auth_update.sh create mode 100644 scripts/chunk_documents.py create mode 100644 scripts/chunk_documents.yml create mode 100644 scripts/conda.yml create mode 100644 scripts/config.json create mode 100644 scripts/config_multiple_url.json create mode 100644 scripts/cosmos_config.json create mode 100644 scripts/cosmos_mongo_vcore_data_preparation.py create mode 100644 scripts/data_preparation.py create mode 100644 scripts/data_utils.py create mode 100644 scripts/datastore.yml create mode 100644 scripts/embed_documents.py create mode 100644 scripts/embed_documents.yml create mode 100644 scripts/loadenv.ps1 create mode 100755 scripts/loadenv.sh create mode 100644 scripts/pinecone_config.json create mode 100644 scripts/pinecone_data_preparation.py create mode 100644 scripts/pipeline.yml create mode 100644 scripts/prepdocs.ps1 create mode 100644 scripts/prepdocs.py create mode 100755 scripts/prepdocs.sh create mode 100644 scripts/push_documents_acs.yml create mode 100644 scripts/push_only_pipeline.yml create mode 100644 scripts/push_to_acs.py create mode 100644 scripts/readme.md create mode 100644 scripts/role_assignment.sh create mode 100644 scripts/run_batch_create_index.py create mode 100644 scripts/validate-oyd-vnet.sh create mode 100644 start.cmd create mode 100755 start.sh create mode 100644 tests/conftest.py create mode 100644 tests/integration_tests/conftest.py create mode 100644 tests/integration_tests/dotenv_templates/dotenv.jinja2 create mode 100644 tests/integration_tests/test_datasources.py create mode 100644 tests/integration_tests/test_startup_scripts.py create mode 100644 tests/unit_tests/dotenv_data/dotenv_no_datasource_1 create mode 100644 tests/unit_tests/dotenv_data/dotenv_no_datasource_2 create mode 100644 tests/unit_tests/dotenv_data/dotenv_with_azure_search_success create mode 100644 tests/unit_tests/dotenv_data/dotenv_with_elasticsearch_success create mode 100644 tests/unit_tests/test_settings.py create mode 100644 tests/unit_tests/test_utils.py create mode 100644 tools/data_collection.py diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 00000000..62b58418 --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,33 @@ +{ + "name": "Azure Developer CLI", + "image": "mcr.microsoft.com/devcontainers/python:3.10", + "features": { + "ghcr.io/devcontainers/features/node:1": { + "version": "16", + "nodeGypDependencies": false + }, + "ghcr.io/devcontainers/features/azure-cli:1.0.8": {}, + "ghcr.io/azure/azure-dev/azd:latest": {} + }, + "customizations": { + "vscode": { + "extensions": [ + "ms-azuretools.azure-dev", + "ms-azuretools.vscode-bicep", + "ms-python.python" + ] + }, + "codespaces": { + "openFiles": [ + "README.md" + ] + } + }, + "forwardPorts": [ + 5000 + ], + "remoteUser": "vscode", + "hostRequirements": { + "memory": "8gb" + } +} diff --git a/.env.sample b/.env.sample new file mode 100644 index 00000000..41e29fbe --- /dev/null +++ b/.env.sample @@ -0,0 +1,119 @@ +# Chat +DEBUG=True +AZURE_OPENAI_RESOURCE= +AZURE_OPENAI_MODEL= +AZURE_OPENAI_KEY= +AZURE_OPENAI_MODEL_NAME=gpt-35-turbo-16k +AZURE_OPENAI_TEMPERATURE=0 +AZURE_OPENAI_TOP_P=1.0 +AZURE_OPENAI_MAX_TOKENS=1000 +AZURE_OPENAI_STOP_SEQUENCE= +AZURE_OPENAI_SEED= +AZURE_OPENAI_CHOICES_COUNT=1 +AZURE_OPENAI_PRESENCE_PENALTY=0.0 +AZURE_OPENAI_FREQUENCY_PENALTY=0.0 +AZURE_OPENAI_LOGIT_BIAS= +AZURE_OPENAI_USER= +AZURE_OPENAI_TOOLS= +AZURE_OPENAI_TOOL_CHOICE= +AZURE_OPENAI_SYSTEM_MESSAGE=You are an AI assistant that helps people find information. +AZURE_OPENAI_PREVIEW_API_VERSION=2024-05-01-preview +AZURE_OPENAI_STREAM=True +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_EMBEDDING_NAME= +AZURE_OPENAI_EMBEDDING_ENDPOINT= +AZURE_OPENAI_EMBEDDING_KEY= +# User Interface +UI_TITLE= +UI_LOGO= +UI_CHAT_LOGO= +UI_CHAT_TITLE= +UI_CHAT_DESCRIPTION= +UI_FAVICON= +# Chat history +AZURE_COSMOSDB_ACCOUNT= +AZURE_COSMOSDB_DATABASE=db_conversation_history +AZURE_COSMOSDB_CONVERSATIONS_CONTAINER=conversations +AZURE_COSMOSDB_ACCOUNT_KEY= +AZURE_COSMOSDB_ENABLE_FEEDBACK=False +# Chat with data: common settings +SEARCH_TOP_K=5 +SEARCH_STRICTNESS=3 +SEARCH_ENABLE_IN_DOMAIN=True +# Chat with data: Azure AI Search +AZURE_SEARCH_SERVICE= +AZURE_SEARCH_INDEX= +AZURE_SEARCH_KEY= +AZURE_SEARCH_SEMANTIC_SEARCH_CONFIG= +AZURE_SEARCH_INDEX_IS_PRECHUNKED=False +AZURE_SEARCH_TOP_K=5 +AZURE_SEARCH_ENABLE_IN_DOMAIN=False +AZURE_SEARCH_CONTENT_COLUMNS= +AZURE_SEARCH_FILENAME_COLUMN= +AZURE_SEARCH_TITLE_COLUMN= +AZURE_SEARCH_URL_COLUMN= +AZURE_SEARCH_VECTOR_COLUMNS= +AZURE_SEARCH_QUERY_TYPE=simple +AZURE_SEARCH_PERMITTED_GROUPS_COLUMN= +AZURE_SEARCH_STRICTNESS=3 +# Chat with data: Azure CosmosDB Mongo VCore +AZURE_COSMOSDB_MONGO_VCORE_CONNECTION_STRING= +AZURE_COSMOSDB_MONGO_VCORE_DATABASE= +AZURE_COSMOSDB_MONGO_VCORE_CONTAINER= +AZURE_COSMOSDB_MONGO_VCORE_INDEX= +AZURE_COSMOSDB_MONGO_VCORE_INDEX= +AZURE_COSMOSDB_MONGO_VCORE_TOP_K= +AZURE_COSMOSDB_MONGO_VCORE_STRICTNESS= +AZURE_COSMOSDB_MONGO_VCORE_ENABLE_IN_DOMAIN= +AZURE_COSMOSDB_MONGO_VCORE_CONTENT_COLUMNS= +AZURE_COSMOSDB_MONGO_VCORE_FILENAME_COLUMN= +AZURE_COSMOSDB_MONGO_VCORE_TITLE_COLUMN= +AZURE_COSMOSDB_MONGO_VCORE_URL_COLUMN= +AZURE_COSMOSDB_MONGO_VCORE_VECTOR_COLUMNS= +# Chat with data: Elasticsearch +ELASTICSEARCH_ENDPOINT= +ELASTICSEARCH_ENCODED_API_KEY= +ELASTICSEARCH_INDEX= +ELASTICSEARCH_QUERY_TYPE= +ELASTICSEARCH_TOP_K= +ELASTICSEARCH_ENABLE_IN_DOMAIN= +ELASTICSEARCH_CONTENT_COLUMNS= +ELASTICSEARCH_FILENAME_COLUMN= +ELASTICSEARCH_TITLE_COLUMN= +ELASTICSEARCH_URL_COLUMN= +ELASTICSEARCH_VECTOR_COLUMNS= +ELASTICSEARCH_STRICTNESS= +ELASTICSEARCH_EMBEDDING_MODEL_ID= +# Chat with data: Pinecone +PINECONE_ENVIRONMENT= +PINECONE_API_KEY= +PINECONE_INDEX_NAME= +PINECONE_TOP_K= +PINECONE_STRICTNESS= +PINECONE_ENABLE_IN_DOMAIN= +PINECONE_CONTENT_COLUMNS= +PINECONE_FILENAME_COLUMN= +PINECONE_TITLE_COLUMN= +PINECONE_URL_COLUMN= +PINECONE_VECTOR_COLUMNS= +# Chat with data: Azure Machine Learning MLIndex +AZURE_MLINDEX_NAME= +AZURE_MLINDEX_VERSION= +AZURE_ML_PROJECT_RESOURCE_ID= +AZURE_MLINDEX_TOP_K= +AZURE_MLINDEX_STRICTNESS= +AZURE_MLINDEX_ENABLE_IN_DOMAIN= +AZURE_MLINDEX_CONTENT_COLUMNS= +AZURE_MLINDEX_FILENAME_COLUMN= +AZURE_MLINDEX_TITLE_COLUMN= +AZURE_MLINDEX_URL_COLUMN= +AZURE_MLINDEX_VECTOR_COLUMNS= +AZURE_MLINDEX_QUERY_TYPE= +# Chat with data: Prompt flow API +USE_PROMPTFLOW=False +PROMPTFLOW_ENDPOINT= +PROMPTFLOW_API_KEY= +PROMPTFLOW_RESPONSE_TIMEOUT=120 +PROMPTFLOW_REQUEST_FIELD_NAME=query +PROMPTFLOW_RESPONSE_FIELD_NAME=reply +PROMPTFLOW_CITATIONS_FIELD_NAME=documents diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 00000000..314766e9 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,3 @@ +* text=auto eol=lf +*.{cmd,[cC][mM][dD]} text eol=crlf +*.{bat,[bB][aA][tT]} text eol=crlf diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md new file mode 100644 index 00000000..d65a1c64 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -0,0 +1,32 @@ +--- +name: Bug report +about: Create a report to help us improve +title: '' +labels: bug +assignees: '' + +--- + +**Describe the bug** +A clear and concise description of what the bug is. + +**To Reproduce** +Steps to reproduce the behavior: +1. Go to '...' +2. Click on '....' +3. Scroll down to '....' +4. See error + +**Expected behavior** +A clear and concise description of what you expected to happen. + +**Screenshots** +If applicable, add screenshots to help explain your problem. + +**Configuration: Please provide the following** + - Azure OpenAI model name and version (e.g. 'gpt-35-turbo-16k, version 0613') + - Is chat history enabled? + - Are you using data? If so, what data source? (e.g. Azure AI Search, Azure CosmosDB Mongo vCore, etc) + +**Additional context** +Add any other context about the problem here. diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md new file mode 100644 index 00000000..c9c39ef8 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.md @@ -0,0 +1,26 @@ +--- +name: Feature request +about: Suggest an idea for this project +title: '' +labels: enhancement +assignees: '' + +--- + +**Is your feature request related to this sample app, or to an Azure service, such as Azure OpenAI or Azure AI Search?** +Describe the scope of your request. This forum is focused on features relating to this sample app and its functionality, not the functionality of underlying Azure services. + +**Is your feature request related to a problem? Please describe.** +A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] + +**Describe the solution you'd like** +A clear and concise description of what you want to happen. + +**Is this feature specific to your use case or your organization, or would it apply broadly across other uses of this app?** +Describe how you and others might leverage this feature. + +**Describe alternatives you've considered** +A clear and concise description of any alternative solutions or features you've considered. + +**Additional context** +Add any other context or screenshots about the feature request here. diff --git a/.github/acl/access.yml b/.github/acl/access.yml new file mode 100644 index 00000000..a0986641 --- /dev/null +++ b/.github/acl/access.yml @@ -0,0 +1,10 @@ +# Documentation for ACL policy: https://aka.ms/gim/docs/policy/acl + +name: Access control list +description: List of teams and their permission levels +resource: repository +where: +configuration: + manageAccess: + - team: csactoengineering + role: Maintain \ No newline at end of file diff --git a/.github/compliance/inventory.yml b/.github/compliance/inventory.yml new file mode 100644 index 00000000..7074f638 --- /dev/null +++ b/.github/compliance/inventory.yml @@ -0,0 +1,5 @@ +inventory: +- source: ServiceTree + items: + - id: a9bcb401-8662-46a7-82e0-6fa1ae1cecaa + isProduction: false diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 00000000..91abb11f --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,11 @@ +# To get started with Dependabot version updates, you'll need to specify which +# package ecosystems to update and where the package manifests are located. +# Please see the documentation for all configuration options: +# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates + +version: 2 +updates: + - package-ecosystem: "pip" # See documentation for possible values + directory: "/" # Location of package manifests + schedule: + interval: "weekly" diff --git a/.github/policies/jit.yml b/.github/policies/jit.yml new file mode 100644 index 00000000..ff0bdd4e --- /dev/null +++ b/.github/policies/jit.yml @@ -0,0 +1,19 @@ +# Documentation for JIT policy: https://aka.ms/gim/docs/policy/jit + +# metadata +id: id +name: JIT_Access +description: Policy for admin JIT for repos in this org + +# filters +resource: repository + +# primitive configuration +configuration: + jitAccess: + enabled: true + maxHours: 2 + approvers: + role: Maintain + requestors: + role: Write diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 00000000..894b57a0 --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,25 @@ +### Motivation and Context + + + +### Description + + + + +### Contribution Checklist + + + +- [ ] I have built and tested the code locally and in a deployed app +- [ ] For frontend changes, I have pulled the latest code from main, built the frontend, and committed all static files. +- [ ] This is a change for all users of this app. No code or asset is specific to my use case or my organization. +- [ ] I didn't break any existing functionality :smile: diff --git a/.github/workflows/node.js.yml b/.github/workflows/node.js.yml new file mode 100644 index 00000000..c261c905 --- /dev/null +++ b/.github/workflows/node.js.yml @@ -0,0 +1,34 @@ +# This workflow will do a clean installation of node dependencies, cache/restore them, build the source code and run tests across different versions of node +# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-nodejs + +name: Build Frontend + +on: + push: + branches: [ "main" ] + pull_request: + branches: [ "main" ] + + +jobs: + build: + runs-on: ubuntu-latest + defaults: + run: + working-directory: frontend + strategy: + matrix: + node-version: [14.x, 16.x, 18.x, 21.x] + # See supported Node.js release schedule at https://nodejs.org/en/about/releases/ + + steps: + - uses: actions/checkout@v3 + - name: Use Node.js ${{ matrix.node-version }} + uses: actions/setup-node@v3 + with: + node-version: ${{ matrix.node-version }} + cache: 'npm' + cache-dependency-path: '**/package-lock.json' + - run: npm ci + - run: NODE_OPTIONS=--max_old_space_size=8192 npm run build --if-present + - run: npm run test --if-present diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml new file mode 100644 index 00000000..cb387477 --- /dev/null +++ b/.github/workflows/python-app.yml @@ -0,0 +1,50 @@ +# This workflow will install Python dependencies, run tests and lint with a single version of Python +# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python + +name: Python application + +on: + push: + branches: [ "main" ] + pull_request: + branches: [ "main" ] + +permissions: + contents: read + +jobs: + test_linux: + runs-on: + - ubuntu-latest + steps: + - uses: actions/checkout@v3 + - name: Set up Python 3.11 + uses: actions/setup-python@v3 + with: + python-version: "3.11" + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -r requirements-dev.txt + - name: Test with pytest + run: | + export PYTHONPATH=$(pwd) + pytest -v --show-capture=stdout -k "not integration" + + test_windows: + runs-on: + - windows-latest + steps: + - uses: actions/checkout@v3 + - name: Set up Python 3.11 + uses: actions/setup-python@v3 + with: + python-version: "3.11" + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -r requirements-dev.txt + - name: Test with pytest + run: | + $env:PYTHONPATH=$pwd + pytest -v --show-capture=stdout -k "not integration" \ No newline at end of file diff --git a/.github/workflows/sample-app-github-cd.yml b/.github/workflows/sample-app-github-cd.yml new file mode 100644 index 00000000..25c62ec8 --- /dev/null +++ b/.github/workflows/sample-app-github-cd.yml @@ -0,0 +1,78 @@ +# Docs for the Azure Web Apps Deploy action: https://github.com/Azure/webapps-deploy +# More GitHub Actions for Azure: https://github.com/Azure/actions +# More info on Python, GitHub Actions, and Azure App Service: https://aka.ms/python-webapps-actions + +name: Build and deploy Python app to Azure Web App - sample-app-github-cd + +on: + push: + branches: + - main + workflow_dispatch: + +jobs: + build: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + + - name: Set up Python version + uses: actions/setup-python@v1 + with: + python-version: '3.11' + + - name: Create and start virtual environment + run: | + python -m venv venv + source venv/bin/activate + + - name: Install dependencies + run: pip install -r requirements.txt + + # Optional: Add step to run tests here (PyTest, Django test suites, etc.) + + - name: Zip artifact for deployment + run: zip release.zip ./* -r + + - name: Upload artifact for deployment jobs + uses: actions/upload-artifact@v3 + with: + name: python-app + path: | + release.zip + !venv/ + + deploy: + runs-on: ubuntu-latest + needs: build + environment: + name: 'Production' + url: ${{ steps.deploy-to-webapp.outputs.webapp-url }} + permissions: + id-token: write #This is required for requesting the JWT + + steps: + - name: Download artifact from build job + uses: actions/download-artifact@v3 + with: + name: python-app + + - name: Unzip artifact for deployment + run: unzip release.zip + + + - name: Login to Azure + uses: azure/login@v1 + with: + client-id: ${{ secrets.AZUREAPPSERVICE_CLIENTID_70EAEB01E7344A70ADC936904D8668C0 }} + tenant-id: ${{ secrets.AZUREAPPSERVICE_TENANTID_DE1C873329344453B852433BF700723B }} + subscription-id: ${{ secrets.AZUREAPPSERVICE_SUBSCRIPTIONID_07FF4A7ACD624D90ADE700FA7786CF46 }} + + - name: 'Deploy to Azure Web App' + uses: azure/webapps-deploy@v2 + id: deploy-to-webapp + with: + app-name: 'sample-app-github-cd' + slot-name: 'Production' + \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..98d28dae --- /dev/null +++ b/.gitignore @@ -0,0 +1,10 @@ +.venv +frontend/node_modules +.env +# static +.azure/ +__pycache__/ +.ipynb_checkpoints/ + +data +static \ No newline at end of file diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 00000000..947ddf2e --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,32 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Python: Sample App Backend", + "type": "python", + "request": "launch", + "module": "quart", + "cwd": "${workspaceFolder}", + "env": { + "QUART_APP": "app:app", + "QUART_ENV": "development", + "QUART_DEBUG": "0" + }, + "args": [ + "run", + "--no-reload", + "-p 50505" + ], + "console": "integratedTerminal", + "justMyCode": false + }, + { + "type": "chrome", + "request": "launch", + "name": "Frontend: Launch Chrome debugger", + "url": "http://127.0.0.1:50505", + "webRoot": "${workspaceFolder}/frontend", + "smartStep": true + } + ] +} diff --git a/README.md b/README.md index 5cd7cecf..05e7008c 100644 --- a/README.md +++ b/README.md @@ -1,14 +1,253 @@ -# Project +# [Preview] Sample Chat App with AOAI -> This repo has been populated by an initial template to help get you started. Please -> make sure to update the content to build a great experience for community-building. +This repo contains sample code for a simple chat webapp that integrates with Azure OpenAI. Note: some portions of the app use preview APIs. -As the maintainer of this project, please make a few updates: +## Prerequisites +- An existing Azure OpenAI resource and model deployment of a chat model (e.g. `gpt-35-turbo-16k`, `gpt-4`) +- To use Azure OpenAI on your data: one of the following data sources: + - Azure AI Search Index + - Azure CosmosDB Mongo vCore vector index + - Elasticsearch index (preview) + - Pinecone index (preview) + - AzureML index (preview) -- Improving this README.MD file to provide a great experience -- Updating SUPPORT.MD with content about this project's support experience -- Understanding the security reporting process in SECURITY.MD -- Remove this section from the README +## Deploy the app + +### Deploy with Azure Developer CLI +Please see [README_azd.md](./README_azd.md) for detailed instructions. + +### One click Azure deployment +[![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fmicrosoft%2Fsample-app-aoai-chatGPT%2Fmain%2Finfrastructure%2Fdeployment.json) + +Click on the Deploy to Azure button and configure your settings in the Azure Portal as described in the [Environment variables](#environment-variables) section. + +Please see the [section below](#add-an-identity-provider) for important information about adding authentication to your app. + +### Deploy from your local machine + +#### Local Setup: Basic Chat Experience +1. Copy `.env.sample` to a new file called `.env` and configure the settings as described in the [Environment variables](#environment-variables) section. + + These variables are required: + - `AZURE_OPENAI_RESOURCE` + - `AZURE_OPENAI_MODEL` + - `AZURE_OPENAI_KEY` + + These variables are optional: + - `AZURE_OPENAI_TEMPERATURE` + - `AZURE_OPENAI_TOP_P` + - `AZURE_OPENAI_MAX_TOKENS` + - `AZURE_OPENAI_STOP_SEQUENCE` + - `AZURE_OPENAI_SYSTEM_MESSAGE` + + See the [documentation](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/reference#example-response-2) for more information on these parameters. + +2. Start the app with `start.cmd`. This will build the frontend, install backend dependencies, and then start the app. Or, just run the backend in debug mode using the VSCode debug configuration in `.vscode/launch.json`. + +3. You can see the local running app at http://127.0.0.1:50505. + +NOTE: You may find you need to set: MacOS: `export NODE_OPTIONS="--max-old-space-size=8192"` or Windows: `set NODE_OPTIONS=--max-old-space-size=8192` to avoid running out of memory when building the frontend. + +#### Local Setup: Chat with your data using Azure Cognitive Search +[More information about Azure OpenAI on your data](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/concepts/use-your-data) + +1. Update the `AZURE_OPENAI_*` environment variables as described above. +2. To connect to your data, you need to specify an Azure Cognitive Search index to use. You can [create this index yourself](https://learn.microsoft.com/en-us/azure/search/search-get-started-portal) or use the [Azure AI Studio](https://oai.azure.com/portal/chat) to create the index for you. + + These variables are required when adding your data with Azure AI Search: + - `DATASOURCE_TYPE` (should be set to `AzureCognitiveSearch`) + - `AZURE_SEARCH_SERVICE` + - `AZURE_SEARCH_INDEX` + - `AZURE_SEARCH_KEY` + + These variables are optional: + - `AZURE_SEARCH_USE_SEMANTIC_SEARCH` + - `AZURE_SEARCH_SEMANTIC_SEARCH_CONFIG` + - `AZURE_SEARCH_INDEX_TOP_K` + - `AZURE_SEARCH_ENABLE_IN_DOMAIN` + - `AZURE_SEARCH_CONTENT_COLUMNS` + - `AZURE_SEARCH_FILENAME_COLUMN` + - `AZURE_SEARCH_TITLE_COLUMN` + - `AZURE_SEARCH_URL_COLUMN` + - `AZURE_SEARCH_VECTOR_COLUMNS` + - `AZURE_SEARCH_QUERY_TYPE` + - `AZURE_SEARCH_PERMITTED_GROUPS_COLUMN` + - `AZURE_SEARCH_STRICTNESS` + - `AZURE_OPENAI_EMBEDDING_NAME` + +3. Start the app with `start.cmd`. This will build the frontend, install backend dependencies, and then start the app. Or, just run the backend in debug mode using the VSCode debug configuration in `.vscode/launch.json`. +4. You can see the local running app at http://127.0.0.1:50505. + +NOTE: You may find you need to set: MacOS: `export NODE_OPTIONS="--max-old-space-size=8192"` or Windows: `set NODE_OPTIONS=--max-old-space-size=8192` to avoid running out of memory when building the frontend. + +#### Local Setup: Enable Chat History +To enable chat history, you will need to set up CosmosDB resources. The ARM template in the `infrastructure` folder can be used to deploy an app service and a CosmosDB with the database and container configured. Then specify these additional environment variables: +- `AZURE_COSMOSDB_ACCOUNT` +- `AZURE_COSMOSDB_DATABASE` +- `AZURE_COSMOSDB_CONVERSATIONS_CONTAINER` +- `AZURE_COSMOSDB_ACCOUNT_KEY` + +As above, start the app with `start.cmd`, then visit the local running app at http://127.0.0.1:50505. Or, just run the backend in debug mode using the VSCode debug configuration in `.vscode/launch.json`. + +#### Local Setup: Enable Message Feedback +To enable message feedback, you will need to set up CosmosDB resources. Then specify these additional environment variable: + +/.env +- `AZURE_COSMOSDB_ENABLE_FEEDBACK=True` + +#### Local Setup: Enable SQL Server +To enable SQL Server, you will need to set up SQL Server resources. Then specify these additional environment variables: +- `DATASOURCE_TYPE` (Should be set to `AzureSqlServer`) +- `AZURE_SQL_SERVER_CONNECTION_STRING` +- `AZURE_SQL_SERVER_TABLE_SCHEMA` + +#### Deploy with the Azure CLI +**NOTE**: If you've made code changes, be sure to **build the app code** with `start.cmd` or `start.sh` before you deploy, otherwise your changes will not be picked up. If you've updated any files in the `frontend` folder, make sure you see updates to the files in the `static` folder before you deploy. + +You can use the [Azure CLI](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli) to deploy the app from your local machine. Make sure you have version 2.48.1 or later. + +If this is your first time deploying the app, you can use [az webapp up](https://learn.microsoft.com/en-us/cli/azure/webapp?view=azure-cli-latest#az-webapp-up). Run the following two commands from the root folder of the repo, updating the placeholder values to your desired app name, resource group, location, and subscription. You can also change the SKU if desired. + +1. `az webapp up --runtime PYTHON:3.11 --sku B1 --name --resource-group --location --subscription ` +1. `az webapp config set --startup-file "python3 -m gunicorn app:app" --name ` + +If you've deployed the app previously, first run this command to update the appsettings to allow local code deployment: + +`az webapp config appsettings set -g -n --settings WEBSITE_WEBDEPLOY_USE_SCM=false` + +Check the runtime stack for your app by viewing the app service resource in the Azure Portal. If it shows "Python - 3.10", use `PYTHON:3.10` in the runtime argument below. If it shows "Python - 3.11", use `PYTHON:3.11` in the runtime argument below. + +Check the SKU in the same way. Use the abbreviated SKU name in the argument below, e.g. for "Basic (B1)" the SKU is `B1`. + +Then, use these commands to deploy your local code to the existing app: + +1. `az webapp up --runtime --sku --name --resource-group ` +1. `az webapp config set --startup-file "python3 -m gunicorn app:app" --name ` + +Make sure that the app name and resource group match exactly for the app that was previously deployed. + +Deployment will take several minutes. When it completes, you should be able to navigate to your app at {app-name}.azurewebsites.net. + +### Add an identity provider +After deployment, you will need to add an identity provider to provide authentication support in your app. See [this tutorial](https://learn.microsoft.com/en-us/azure/app-service/scenario-secure-app-authentication-app-service) for more information. + +If you don't add an identity provider, the chat functionality of your app will be blocked to prevent unauthorized access to your resources and data. + +To remove this restriction, you can add `AUTH_ENABLED=False` to the environment variables. This will disable authentication and allow anyone to access the chat functionality of your app. **This is not recommended for production apps.** + +To add further access controls, update the logic in `getUserInfoList` in `frontend/src/pages/chat/Chat.tsx`. + +### Common Customization Scenarios (e.g. updating the default chat logo and headers) + +The interface allows for easy adaptation of the UI by modifying certain elements, such as the title and logo, through the use of [environment variables](#environment-variables). + +- `UI_TITLE` +- `UI_LOGO` +- `UI_CHAT_TITLE` +- `UI_CHAT_LOGO` +- `UI_CHAT_DESCRIPTION` +- `UI_FAVICON` +- `UI_SHOW_SHARE_BUTTON` + +Feel free to fork this repository and make your own modifications to the UX or backend logic. You can modify the source (`frontend/src`). For example, you may want to change aspects of the chat display, or expose some of the settings in `app.py` in the UI for users to try out different behaviors. After your code changes, you will need to rebuild the front-end via `start.sh` or `start.cmd`. + +### Scalability +You can configure the number of threads and workers in `gunicorn.conf.py`. After making a change, redeploy your app using the commands listed above. + +See the [Oryx documentation](https://github.com/microsoft/Oryx/blob/main/doc/configuration.md) for more details on these settings. + +### Debugging your deployed app +First, add an environment variable on the app service resource called "DEBUG". Set this to "true". + +Next, enable logging on the app service. Go to "App Service logs" under Monitoring, and change Application logging to File System. Save the change. + +Now, you should be able to see logs from your app by viewing "Log stream" under Monitoring. + +### Configuring vector search +When using your own data with a vector index, ensure these settings are configured on your app: +- `AZURE_SEARCH_QUERY_TYPE`: can be `vector`, `vectorSimpleHybrid`, or `vectorSemanticHybrid`, +- `AZURE_OPENAI_EMBEDDING_NAME`: the name of your Ada (text-embedding-ada-002) model deployment on your Azure OpenAI resource. +- `AZURE_SEARCH_VECTOR_COLUMNS`: the vector columns in your index to use when searching. Join them with `|` like `contentVector|titleVector`. + +### Changing Citation Display +The Citation panel is defined at the end of `frontend/src/pages/chat/Chat.tsx`. The citations returned from Azure OpenAI On Your Data will include `content`, `title`, `filepath`, and in some cases `url`. You can customize the Citation section to use and display these as you like. For example, the title element is a clickable hyperlink if `url` is not a blob URL. + +``` +
onViewSource(activeCitation)} + >{activeCitation.title}
+ + const onViewSource = (citation: Citation) => { + if (citation.url && !citation.url.includes("blob.core")) { + window.open(citation.url, "_blank"); + } + }; + +``` + + +### Best Practices +We recommend keeping these best practices in mind: + +- Reset the chat session (clear chat) if the user changes any settings. Notify the user that their chat history will be lost. +- Clearly communicate to the user what impact each setting will have on their experience. +- When you rotate API keys for your AOAI or ACS resource, be sure to update the app settings for each of your deployed apps to use the new key. +- Pull in changes from `main` frequently to ensure you have the latest bug fixes and improvements, especially when using Azure OpenAI on your data. + +**A note on Azure OpenAI API versions**: The application code in this repo will implement the request and response contracts for the most recent preview API version supported for Azure OpenAI. To keep your application up-to-date as the Azure OpenAI API evolves with time, be sure to merge the latest API version update into your own application code and redeploy using the methods described in this document. + +## Environment variables + +Note: settings starting with `AZURE_SEARCH` are only needed when using Azure OpenAI on your data with Azure AI Search. If not connecting to your data, you only need to specify `AZURE_OPENAI` settings. + +| App Setting | Value | Note | +| --- | --- | ------------- | +|AZURE_SEARCH_SERVICE||The name of your Azure AI Search resource| +|AZURE_SEARCH_INDEX||The name of your Azure AI Search Index| +|AZURE_SEARCH_KEY||An **admin key** for your Azure AI Search resource| +|AZURE_SEARCH_USE_SEMANTIC_SEARCH|False|Whether or not to use semantic search| +|AZURE_SEARCH_QUERY_TYPE|simple|Query type: simple, semantic, vector, vectorSimpleHybrid, or vectorSemanticHybrid. Takes precedence over AZURE_SEARCH_USE_SEMANTIC_SEARCH| +|AZURE_SEARCH_SEMANTIC_SEARCH_CONFIG||The name of the semantic search configuration to use if using semantic search.| +|AZURE_SEARCH_TOP_K|5|The number of documents to retrieve from Azure AI Search.| +|AZURE_SEARCH_ENABLE_IN_DOMAIN|True|Limits responses to only queries relating to your data.| +|AZURE_SEARCH_CONTENT_COLUMNS||List of fields in your Azure AI Search index that contains the text content of your documents to use when formulating a bot response. Represent these as a string joined with "|", e.g. `"product_description|product_manual"`| +|AZURE_SEARCH_FILENAME_COLUMN|| Field from your Azure AI Search index that gives a unique identifier of the source of your data to display in the UI.| +|AZURE_SEARCH_TITLE_COLUMN||Field from your Azure AI Search index that gives a relevant title or header for your data content to display in the UI.| +|AZURE_SEARCH_URL_COLUMN||Field from your Azure AI Search index that contains a URL for the document, e.g. an Azure Blob Storage URI. This value is not currently used.| +|AZURE_SEARCH_VECTOR_COLUMNS||List of fields in your Azure AI Search index that contain vector embeddings of your documents to use when formulating a bot response. Represent these as a string joined with "|", e.g. `"product_description|product_manual"`| +|AZURE_SEARCH_PERMITTED_GROUPS_COLUMN||Field from your Azure AI Search index that contains AAD group IDs that determine document-level access control.| +|AZURE_SEARCH_STRICTNESS|3|Integer from 1 to 5 specifying the strictness for the model limiting responses to your data.| +|AZURE_OPENAI_RESOURCE||the name of your Azure OpenAI resource| +|AZURE_OPENAI_MODEL||The name of your model deployment| +|AZURE_OPENAI_ENDPOINT||The endpoint of your Azure OpenAI resource.| +|AZURE_OPENAI_MODEL_NAME|gpt-35-turbo-16k|The name of the model| +|AZURE_OPENAI_KEY||One of the API keys of your Azure OpenAI resource| +|AZURE_OPENAI_TEMPERATURE|0|What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. A value of 0 is recommended when using your data.| +|AZURE_OPENAI_TOP_P|1.0|An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. We recommend setting this to 1.0 when using your data.| +|AZURE_OPENAI_MAX_TOKENS|1000|The maximum number of tokens allowed for the generated answer.| +|AZURE_OPENAI_STOP_SEQUENCE||Up to 4 sequences where the API will stop generating further tokens. Represent these as a string joined with "|", e.g. `"stop1|stop2|stop3"`| +|AZURE_OPENAI_SYSTEM_MESSAGE|You are an AI assistant that helps people find information.|A brief description of the role and tone the model should use| +|AZURE_OPENAI_PREVIEW_API_VERSION|2024-02-15-preview|API version when using Azure OpenAI on your data| +|AZURE_OPENAI_STREAM|True|Whether or not to use streaming for the response| +|AZURE_OPENAI_EMBEDDING_NAME||The name of your embedding model deployment if using vector search. +|UI_TITLE|Contoso| Chat title (left-top) and page title (HTML) +|UI_LOGO|| Logo (left-top). Defaults to Contoso logo. Configure the URL to your logo image to modify. +|UI_CHAT_LOGO|| Logo (chat window). Defaults to Contoso logo. Configure the URL to your logo image to modify. +|UI_CHAT_TITLE|Start chatting| Title (chat window) +|UI_CHAT_DESCRIPTION|This chatbot is configured to answer your questions| Description (chat window) +|UI_FAVICON|| Defaults to Contoso favicon. Configure the URL to your favicon to modify. +|UI_SHOW_SHARE_BUTTON|True|Share button (right-top) +|SANITIZE_ANSWER|False|Whether to sanitize the answer from Azure OpenAI. Set to True to remove any HTML tags from the response.| +|USE_PROMPTFLOW|False|Use existing Promptflow deployed endpoint. If set to `True` then both `PROMPTFLOW_ENDPOINT` and `PROMPTFLOW_API_KEY` also need to be set.| +|PROMPTFLOW_ENDPOINT||URL of the deployed Promptflow endpoint e.g. https://pf-deployment-name.region.inference.ml.azure.com/score| +|PROMPTFLOW_API_KEY||Auth key for deployed Promptflow endpoint. Note: only Key-based authentication is supported.| +|PROMPTFLOW_RESPONSE_TIMEOUT|120|Timeout value in seconds for the Promptflow endpoint to respond.| +|PROMPTFLOW_REQUEST_FIELD_NAME|query|Default field name to construct Promptflow request. Note: chat_history is auto constucted based on the interaction, if your API expects other mandatory field you will need to change the request parameters under `promptflow_request` function.| +|PROMPTFLOW_RESPONSE_FIELD_NAME|reply|Default field name to process the response from Promptflow request.| +|PROMPTFLOW_CITATIONS_FIELD_NAME|documents|Default field name to process the citations output from Promptflow request.| ## Contributing @@ -24,6 +263,22 @@ This project has adopted the [Microsoft Open Source Code of Conduct](https://ope For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments. +When contributing to this repository, please help keep the codebase clean and maintainable by running +the formatter and linter with `npm run format` this will run `npx eslint --fix` and `npx prettier --write` +on the frontebnd codebase. + +If you are using VSCode, you can add the following settings to your `settings.json` to format and lint on save: + +```json +{ + "editor.codeActionsOnSave": { + "source.fixAll.eslint": "explicit" + }, + "editor.formatOnSave": true, + "prettier.requireConfig": true, +} +``` + ## Trademarks This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft diff --git a/README_azd.md b/README_azd.md new file mode 100644 index 00000000..c78286ae --- /dev/null +++ b/README_azd.md @@ -0,0 +1,73 @@ +# (Preview) Sample Chat App with AOAI + +## Deploying with the Azure Developer CLI + +> **IMPORTANT:** In order to deploy and run this example, you'll need an **Azure subscription with access enabled for the Azure OpenAI service**. You can request access [here](https://aka.ms/oaiapply). You can also visit [here](https://azure.microsoft.com/free/cognitive-search/) to get some free Azure credits to get you started. Your Azure Account must have `Microsoft.Authorization/roleAssignments/write` permissions, such as [User Access Administrator](https://learn.microsoft.com/azure/role-based-access-control/built-in-roles#user-access-administrator) or [Owner](https://learn.microsoft.com/azure/role-based-access-control/built-in-roles#owner). + +> **AZURE RESOURCE COSTS** by default this sample will create Azure App Service and Azure Cognitive Search resources that have a monthly cost, as well as Form Recognizer resource that has cost per document page. You can switch them to free versions of each of them if you want to avoid this cost by changing the parameters file under the infra folder (though there are some limits to consider; for example, you can have up to 1 free Cognitive Search resource per subscription, and the free Form Recognizer resource only analyzes the first 2 pages of each document.) + +## Opening the project + +This project has [Dev Container support](https://code.visualstudio.com/docs/devcontainers/containers), so it will be be setup automatically if you open it in Github Codespaces or in local VS Code with the [Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers). + +If you're not using one of those options for opening the project, then you'll need to: + +1. Install prerequisites: + + - [Azure Developer CLI](https://aka.ms/azure-dev/install) + - [Python 3+](https://www.python.org/downloads/) + - **Important**: Python and the pip package manager must be in the path in Windows for the setup scripts to work. + - [Node.js](https://nodejs.org/en/download/) + - [Git](https://git-scm.com/downloads) + - [Powershell 7+ (pwsh)](https://github.com/powershell/powershell) - For Windows users only. + - **Important**: Ensure you can run `pwsh.exe` from a PowerShell command. If this fails, you likely need to upgrade PowerShell. + + +### Deploying from scratch: + +If you don't have any pre-existing Azure services (i.e. OpenAI or Cognitive Search service), then you can provision +all resources from scratch by following these steps: + +1. Run `azd auth login` to login to your Azure account. +1. Run `azd up` to provision Azure resources and deploy this sample to those resources. This also runs a script to build the search index based on files in the `./data` folder. + * For the target location, the regions that currently support the models used in this sample are **East US** or **South Central US**. For an up-to-date list of regions and models, check [here](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/concepts/models) +1. After the application has been successfully deployed you will see a URL printed to the console. Click that URL to interact with the application in your browser. + > NOTE: It may take a minute for the application to be fully deployed. If you see a "Python Developer" welcome screen, then wait a minute and refresh the page. + +### Using existing resources: + +If you have existing Azure resources that you want to reuse, then you must first set `azd` environment variables _before_ running `azd up`. + +Run the following commands based on what you want to customize: + +* `azd env set AZURE_OPENAI_RESOURCE {Name of existing OpenAI service}` +* `azd env set AZURE_OPENAI_RESOURCE_GROUP {Name of existing resource group that OpenAI service is provisioned to}` +* `azd env set AZURE_OPENAI_SKU_NAME {Name of OpenAI SKU}`. Defaults to 'S0'. +* `azd env set AZURE_SEARCH_SERVICE {Name of existing Cognitive Search service}` +* `azd env set AZURE_SEARCH_SERVICE_RESOURCE_GROUP {Name of existing resource group that Cognitive Search service is provisioned to}` +* `azd env set AZURE_SEARCH_SKU_NAME {Name of Cognitive Search SKY}`. Defaults to 'standard'. +* `azd env set AZURE_FORMRECOGNIZER_SERVICE {Name of existing Form Recognizer service}`. Used by prepdocs.py for text extraction from docs. +* `azd env set AZURE_FORMRECOGNIZER_SERVICE_RESOURCE_GROUP {Name of existing resource group that Form Recognizer service is provisioned to}`. +* `azd env set AZURE_FORMRECOGNIZER_SKU_NAME {Name of Form Recognizer SKU}`. Defaults to 'S0'. + +1. Run `azd auth login` to login to your Azure account. +1. Run `azd up` to provision Azure resources and deploy this sample to those resources. This also runs a script to build the search index based on files in the `./data` folder. +1. After the application has been successfully deployed you will see a URL printed to the console. Click that URL to interact with the application in your browser. + > NOTE: It may take a minute for the application to be fully deployed. If you see a "Python Developer" welcome screen, then wait a minute and refresh the page. + + +### Re-deploying changes + +If you make any changes to the app code (JS or Python), you can re-deploy the app code to App Service by running the `azd deploy` command. + +If you change any of the Bicep files in the infra folder, then you should re-run `azd up` to both provision resources and deploy code. + +### Running locally: + +1. Run `azd auth login` +2. Run `./start.cmd` or `./start.sh` to start the project locally. +3. Navigate to `http://127.0.0.1:5000` in your browser. The deployed code requires authentication, but the local app should allow access as long as it's access from `127.0.0.1`. + +### Note + +>Note: The PDF documents used in this demo contain information generated using a language model (Azure OpenAI Service). The information contained in these documents is only for demonstration purposes and does not reflect the opinions or beliefs of Microsoft. Microsoft makes no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the information contained in this document. All rights reserved to Microsoft. diff --git a/SECURITY.md b/SECURITY.md index b3c89efc..e138ec5d 100644 --- a/SECURITY.md +++ b/SECURITY.md @@ -1,20 +1,20 @@ - + ## Security -Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet) and [Xamarin](https://github.com/xamarin). +Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [our GitHub organizations](https://opensource.microsoft.com/). -If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://aka.ms/security.md/definition), please report it to us as described below. +If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://aka.ms/opensource/security/definition), please report it to us as described below. ## Reporting Security Issues **Please do not report security vulnerabilities through public GitHub issues.** -Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://aka.ms/security.md/msrc/create-report). +Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://aka.ms/opensource/security/create-report). -If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com). If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://aka.ms/security.md/msrc/pgp). +If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com). If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://aka.ms/opensource/security/pgpkey). -You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://www.microsoft.com/msrc). +You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://aka.ms/opensource/security/msrc). Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue: @@ -28,7 +28,7 @@ Please include the requested information listed below (as much as you can provid This information will help us triage your report more quickly. -If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://aka.ms/security.md/msrc/bounty) page for more details about our active programs. +If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://aka.ms/opensource/security/bounty) page for more details about our active programs. ## Preferred Languages @@ -36,6 +36,6 @@ We prefer all communications to be in English. ## Policy -Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://aka.ms/security.md/cvd). +Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://aka.ms/opensource/security/cvd). diff --git a/SUPPORT.md b/SUPPORT.md index 291d4d43..b8851420 100644 --- a/SUPPORT.md +++ b/SUPPORT.md @@ -1,13 +1,3 @@ -# TODO: The maintainer of this repo has not yet edited this file - -**REPO OWNER**: Do you want Customer Service & Support (CSS) support for this product/project? - -- **No CSS support:** Fill out this template with information about how to file issues and get help. -- **Yes CSS support:** Fill out an intake form at [aka.ms/onboardsupport](https://aka.ms/onboardsupport). CSS will work with/help you to determine next steps. -- **Not sure?** Fill out an intake as though the answer were "Yes". CSS will help you decide. - -*Then remove this first heading from this SUPPORT.MD file before publishing your repo.* - # Support ## How to file issues and get help @@ -16,10 +6,8 @@ This project uses GitHub Issues to track bugs and feature requests. Please searc issues before filing new issues to avoid duplicates. For new issues, file your bug or feature request as a new Issue. -For help and questions about using this project, please **REPO MAINTAINER: INSERT INSTRUCTIONS HERE -FOR HOW TO ENGAGE REPO OWNERS OR COMMUNITY FOR HELP. COULD BE A STACK OVERFLOW TAG OR OTHER -CHANNEL. WHERE WILL YOU HELP PEOPLE?**. +For help and questions about using this project, please use the GitHub Issues and Discussions on this project. For help with Azure OpenAI Service or Azure AI Search, please file support tickets with the appropriate service. ## Microsoft Support Policy -Support for this **PROJECT or PRODUCT** is limited to the resources listed above. +Support for this project is limited to the resources listed above. diff --git a/TEST_CASE_FLOWS.md b/TEST_CASE_FLOWS.md new file mode 100644 index 00000000..24957b6c --- /dev/null +++ b/TEST_CASE_FLOWS.md @@ -0,0 +1,77 @@ +# Introduction +Below are some flows to follow to make sure code changes are tested effectivly and efficiently. +The goal is to make sure that this is repeatable and can be done by anyone to avoid regressions. + +## Test Case Flows +- with data, streaming +- with data, non streaming +- without data, streaming +- without data, non streaming +- All of the above with and without chat history + +### With Data, Streaming +The following environment variables are required to run this test case: + +`AZURE_SEARCH_SERVICE`\ +`AZURE_SEARCH_INDEX`\ +`AZURE_SEARCH_KEY` + +`AZURE_OPENAI_STREAM` should be set to `true` + +### With Data, Streaming, Chat History +Keep the same environment variables as above, but add the following: + +`AZURE_COSMOSDB_DATABASE`\ +`AZURE_COSMOSDB_ACCOUNT`\ +`AZURE_COSMOSDB_CONVERSATIONS_CONTAINER`\ +`AZURE_COSMOSDB_ACCOUNT_KEY` + +### With Data, Nonstreaming +The following environment variables are required to run this test case: +`AZURE_SEARCH_SERVICE`\ +`AZURE_SEARCH_INDEX`\ +`AZURE_SEARCH_KEY` + +`AZURE_OPENAI_STREAM` should be set to `false` + +### With Data, Nonstreaming, Chat History +Keep the same environment variables as above, but add the following: + +`AZURE_COSMOSDB_DATABASE`\ +`AZURE_COSMOSDB_ACCOUNT`\ +`AZURE_COSMOSDB_CONVERSATIONS_CONTAINER`\ +`AZURE_COSMOSDB_ACCOUNT_KEY` + +### Without Data, Streaming +The following environment variables should **not** be set: + +`AZURE_SEARCH_SERVICE`\ +`AZURE_SEARCH_INDEX`\ +`AZURE_SEARCH_KEY` + +`AZURE_OPENAI_STREAM` should be set to `true` + +### Without Data, Streaming, Chat History +Keep the same environment variables as above, but add the following: + +`AZURE_COSMOSDB_DATABASE`\ +`AZURE_COSMOSDB_ACCOUNT`\ +`AZURE_COSMOSDB_CONVERSATIONS_CONTAINER`\ +`AZURE_COSMOSDB_ACCOUNT_KEY` + +### Without Data, Nonstreaming +The following environment variables should **not** be set: + +`AZURE_SEARCH_SERVICE`\ +`AZURE_SEARCH_INDEX`\ +`AZURE_SEARCH_KEY` + +`AZURE_OPENAI_STREAM` should be set to `false` + +### Without Data, Nonstreaming, Chat History +Keep the same environment variables as above, but add the following: + +`AZURE_COSMOSDB_DATABASE`\ +`AZURE_COSMOSDB_ACCOUNT`\ +`AZURE_COSMOSDB_CONVERSATIONS_CONTAINER`\ +`AZURE_COSMOSDB_ACCOUNT_KEY` \ No newline at end of file diff --git a/WebApp.Dockerfile b/WebApp.Dockerfile new file mode 100644 index 00000000..d9024105 --- /dev/null +++ b/WebApp.Dockerfile @@ -0,0 +1,31 @@ +FROM node:20-alpine AS frontend +RUN mkdir -p /home/node/app/node_modules && chown -R node:node /home/node/app + +WORKDIR /home/node/app +COPY ./frontend/package*.json ./ +USER node +RUN npm ci +COPY --chown=node:node ./frontend/ ./frontend +COPY --chown=node:node ./static/ ./static +WORKDIR /home/node/app/frontend +RUN NODE_OPTIONS=--max_old_space_size=8192 npm run build + +FROM python:3.11-alpine +RUN apk add --no-cache --virtual .build-deps \ + build-base \ + libffi-dev \ + openssl-dev \ + curl \ + && apk add --no-cache \ + libpq + +COPY requirements.txt /usr/src/app/ +RUN pip install --no-cache-dir -r /usr/src/app/requirements.txt \ + && rm -rf /root/.cache + +COPY . /usr/src/app/ +COPY --from=frontend /home/node/app/static /usr/src/app/static/ +WORKDIR /usr/src/app +EXPOSE 80 + +CMD ["gunicorn" , "-b", "0.0.0.0:80", "app:app"] \ No newline at end of file diff --git a/WebApp.dockerignore b/WebApp.dockerignore new file mode 100644 index 00000000..ab117a7a --- /dev/null +++ b/WebApp.dockerignore @@ -0,0 +1,5 @@ +.venv +.env +WebApp.Dockerfile +WebApp.dockerignore +frontend/node_modules diff --git a/app.py b/app.py new file mode 100644 index 00000000..88d96980 --- /dev/null +++ b/app.py @@ -0,0 +1,1011 @@ +import copy +import json +import os +import logging +import uuid +import httpx +from quart import ( + Blueprint, + Quart, + jsonify, + make_response, + request, + send_from_directory, + render_template, +) + +from openai import AsyncAzureOpenAI +from azure.identity.aio import ( + DefaultAzureCredential, + get_bearer_token_provider +) +from backend.auth.auth_utils import get_authenticated_user_details +from backend.security.ms_defender_utils import get_msdefender_user_json +from backend.history.cosmosdbservice import CosmosConversationClient +from backend.settings import ( + app_settings, + MINIMUM_SUPPORTED_AZURE_OPENAI_PREVIEW_API_VERSION +) +from backend.utils import ( + format_as_ndjson, + format_stream_response, + format_non_streaming_response, + convert_to_pf_format, + format_pf_non_streaming_response, +) + +bp = Blueprint("routes", __name__, static_folder="static", template_folder="static") + + +def create_app(): + app = Quart(__name__) + app.register_blueprint(bp) + app.config["TEMPLATES_AUTO_RELOAD"] = True + return app + + +@bp.route("/") +async def index(): + return await render_template( + "index.html", + title=app_settings.ui.title, + favicon=app_settings.ui.favicon + ) + + +@bp.route("/favicon.ico") +async def favicon(): + return await bp.send_static_file("favicon.ico") + + +@bp.route("/assets/") +async def assets(path): + return await send_from_directory("static/assets", path) + + +# Debug settings +DEBUG = os.environ.get("DEBUG", "false") +if DEBUG.lower() == "true": + logging.basicConfig(level=logging.DEBUG) + +USER_AGENT = "GitHubSampleWebApp/AsyncAzureOpenAI/1.0.0" + + +# Frontend Settings via Environment Variables +frontend_settings = { + "auth_enabled": app_settings.base_settings.auth_enabled, + "feedback_enabled": ( + app_settings.chat_history and + app_settings.chat_history.enable_feedback + ), + "ui": { + "title": app_settings.ui.title, + "logo": app_settings.ui.logo, + "chat_logo": app_settings.ui.chat_logo or app_settings.ui.logo, + "chat_title": app_settings.ui.chat_title, + "chat_description": app_settings.ui.chat_description, + "show_share_button": app_settings.ui.show_share_button, + }, + "sanitize_answer": app_settings.base_settings.sanitize_answer, +} + + +# Enable Microsoft Defender for Cloud Integration +MS_DEFENDER_ENABLED = os.environ.get("MS_DEFENDER_ENABLED", "true").lower() == "true" + + +# Initialize Azure OpenAI Client +def init_openai_client(): + azure_openai_client = None + try: + # API version check + if ( + app_settings.azure_openai.preview_api_version + < MINIMUM_SUPPORTED_AZURE_OPENAI_PREVIEW_API_VERSION + ): + raise ValueError( + f"The minimum supported Azure OpenAI preview API version is '{MINIMUM_SUPPORTED_AZURE_OPENAI_PREVIEW_API_VERSION}'" + ) + + # Endpoint + if ( + not app_settings.azure_openai.endpoint and + not app_settings.azure_openai.resource + ): + raise ValueError( + "AZURE_OPENAI_ENDPOINT or AZURE_OPENAI_RESOURCE is required" + ) + + endpoint = ( + app_settings.azure_openai.endpoint + if app_settings.azure_openai.endpoint + else f"https://{app_settings.azure_openai.resource}.openai.azure.com/" + ) + + # Authentication + aoai_api_key = app_settings.azure_openai.key + ad_token_provider = None + if not aoai_api_key: + logging.debug("No AZURE_OPENAI_KEY found, using Azure AD auth") + ad_token_provider = get_bearer_token_provider( + DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default" + ) + + # Deployment + deployment = app_settings.azure_openai.model + if not deployment: + raise ValueError("AZURE_OPENAI_MODEL is required") + + # Default Headers + default_headers = {"x-ms-useragent": USER_AGENT} + + azure_openai_client = AsyncAzureOpenAI( + api_version=app_settings.azure_openai.preview_api_version, + api_key=aoai_api_key, + azure_ad_token_provider=ad_token_provider, + default_headers=default_headers, + azure_endpoint=endpoint, + ) + + return azure_openai_client + except Exception as e: + logging.exception("Exception in Azure OpenAI initialization", e) + azure_openai_client = None + raise e + + +def init_cosmosdb_client(): + cosmos_conversation_client = None + if app_settings.chat_history: + try: + cosmos_endpoint = ( + f"https://{app_settings.chat_history.account}.documents.azure.com:443/" + ) + + if not app_settings.chat_history.account_key: + credential = DefaultAzureCredential() + else: + credential = app_settings.chat_history.account_key + + cosmos_conversation_client = CosmosConversationClient( + cosmosdb_endpoint=cosmos_endpoint, + credential=credential, + database_name=app_settings.chat_history.database, + container_name=app_settings.chat_history.conversations_container, + enable_message_feedback=app_settings.chat_history.enable_feedback, + ) + except Exception as e: + logging.exception("Exception in CosmosDB initialization", e) + cosmos_conversation_client = None + raise e + else: + logging.debug("CosmosDB not configured") + + return cosmos_conversation_client + + +def prepare_model_args(request_body, request_headers): + request_messages = request_body.get("messages", []) + messages = [] + if not app_settings.datasource: + messages = [ + { + "role": "system", + "content": app_settings.azure_openai.system_message + } + ] + + for message in request_messages: + if message: + messages.append( + { + "role": message["role"], + "content": message["content"] + } + ) + + user_json = None + if (MS_DEFENDER_ENABLED): + authenticated_user_details = get_authenticated_user_details(request_headers) + user_json = get_msdefender_user_json(authenticated_user_details, request_headers) + + model_args = { + "messages": messages, + "temperature": app_settings.azure_openai.temperature, + "max_tokens": app_settings.azure_openai.max_tokens, + "top_p": app_settings.azure_openai.top_p, + "stop": app_settings.azure_openai.stop_sequence, + "stream": app_settings.azure_openai.stream, + "model": app_settings.azure_openai.model, + "user": user_json + } + + if app_settings.datasource: + model_args["extra_body"] = { + "data_sources": [ + app_settings.datasource.construct_payload_configuration( + request=request + ) + ] + } + + model_args_clean = copy.deepcopy(model_args) + if model_args_clean.get("extra_body"): + secret_params = [ + "key", + "connection_string", + "embedding_key", + "encoded_api_key", + "api_key", + ] + for secret_param in secret_params: + if model_args_clean["extra_body"]["data_sources"][0]["parameters"].get( + secret_param + ): + model_args_clean["extra_body"]["data_sources"][0]["parameters"][ + secret_param + ] = "*****" + authentication = model_args_clean["extra_body"]["data_sources"][0][ + "parameters" + ].get("authentication", {}) + for field in authentication: + if field in secret_params: + model_args_clean["extra_body"]["data_sources"][0]["parameters"][ + "authentication" + ][field] = "*****" + embeddingDependency = model_args_clean["extra_body"]["data_sources"][0][ + "parameters" + ].get("embedding_dependency", {}) + if "authentication" in embeddingDependency: + for field in embeddingDependency["authentication"]: + if field in secret_params: + model_args_clean["extra_body"]["data_sources"][0]["parameters"][ + "embedding_dependency" + ]["authentication"][field] = "*****" + + logging.debug(f"REQUEST BODY: {json.dumps(model_args_clean, indent=4)}") + + return model_args + + +async def promptflow_request(request): + try: + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {app_settings.promptflow.api_key}", + } + # Adding timeout for scenarios where response takes longer to come back + logging.debug(f"Setting timeout to {app_settings.promptflow.response_timeout}") + async with httpx.AsyncClient( + timeout=float(app_settings.promptflow.response_timeout) + ) as client: + pf_formatted_obj = convert_to_pf_format( + request, + app_settings.promptflow.request_field_name, + app_settings.promptflow.response_field_name + ) + # NOTE: This only support question and chat_history parameters + # If you need to add more parameters, you need to modify the request body + response = await client.post( + app_settings.promptflow.endpoint, + json={ + app_settings.promptflow.request_field_name: pf_formatted_obj[-1]["inputs"][app_settings.promptflow.request_field_name], + "chat_history": pf_formatted_obj[:-1], + }, + headers=headers, + ) + resp = response.json() + resp["id"] = request["messages"][-1]["id"] + return resp + except Exception as e: + logging.error(f"An error occurred while making promptflow_request: {e}") + + +async def send_chat_request(request_body, request_headers): + filtered_messages = [] + messages = request_body.get("messages", []) + for message in messages: + if message.get("role") != 'tool': + filtered_messages.append(message) + + request_body['messages'] = filtered_messages + model_args = prepare_model_args(request_body, request_headers) + + try: + azure_openai_client = init_openai_client() + raw_response = await azure_openai_client.chat.completions.with_raw_response.create(**model_args) + response = raw_response.parse() + apim_request_id = raw_response.headers.get("apim-request-id") + except Exception as e: + logging.exception("Exception in send_chat_request") + raise e + + return response, apim_request_id + + +async def complete_chat_request(request_body, request_headers): + if app_settings.base_settings.use_promptflow: + response = await promptflow_request(request_body) + history_metadata = request_body.get("history_metadata", {}) + return format_pf_non_streaming_response( + response, + history_metadata, + app_settings.promptflow.response_field_name, + app_settings.promptflow.citations_field_name + ) + else: + response, apim_request_id = await send_chat_request(request_body, request_headers) + history_metadata = request_body.get("history_metadata", {}) + return format_non_streaming_response(response, history_metadata, apim_request_id) + + +async def stream_chat_request(request_body, request_headers): + response, apim_request_id = await send_chat_request(request_body, request_headers) + history_metadata = request_body.get("history_metadata", {}) + + async def generate(): + async for completionChunk in response: + yield format_stream_response(completionChunk, history_metadata, apim_request_id) + + return generate() + + +async def conversation_internal(request_body, request_headers): + try: + if app_settings.azure_openai.stream: + result = await stream_chat_request(request_body, request_headers) + response = await make_response(format_as_ndjson(result)) + response.timeout = None + response.mimetype = "application/json-lines" + return response + else: + result = await complete_chat_request(request_body, request_headers) + return jsonify(result) + + except Exception as ex: + logging.exception(ex) + if hasattr(ex, "status_code"): + return jsonify({"error": str(ex)}), ex.status_code + else: + return jsonify({"error": str(ex)}), 500 + + +@bp.route("/conversation", methods=["POST"]) +async def conversation(): + if not request.is_json: + return jsonify({"error": "request must be json"}), 415 + request_json = await request.get_json() + + return await conversation_internal(request_json, request.headers) + + +@bp.route("/frontend_settings", methods=["GET"]) +def get_frontend_settings(): + try: + return jsonify(frontend_settings), 200 + except Exception as e: + logging.exception("Exception in /frontend_settings") + return jsonify({"error": str(e)}), 500 + + +## Conversation History API ## +@bp.route("/history/generate", methods=["POST"]) +async def add_conversation(): + authenticated_user = get_authenticated_user_details(request_headers=request.headers) + user_id = authenticated_user["user_principal_id"] + + ## check request for conversation_id + request_json = await request.get_json() + conversation_id = request_json.get("conversation_id", None) + + try: + # make sure cosmos is configured + cosmos_conversation_client = init_cosmosdb_client() + if not cosmos_conversation_client: + raise Exception("CosmosDB is not configured or not working") + + # check for the conversation_id, if the conversation is not set, we will create a new one + history_metadata = {} + if not conversation_id: + title = await generate_title(request_json["messages"]) + conversation_dict = await cosmos_conversation_client.create_conversation( + user_id=user_id, title=title + ) + conversation_id = conversation_dict["id"] + history_metadata["title"] = title + history_metadata["date"] = conversation_dict["createdAt"] + + ## Format the incoming message object in the "chat/completions" messages format + ## then write it to the conversation history in cosmos + messages = request_json["messages"] + if len(messages) > 0 and messages[-1]["role"] == "user": + createdMessageValue = await cosmos_conversation_client.create_message( + uuid=str(uuid.uuid4()), + conversation_id=conversation_id, + user_id=user_id, + input_message=messages[-1], + ) + if createdMessageValue == "Conversation not found": + raise Exception( + "Conversation not found for the given conversation ID: " + + conversation_id + + "." + ) + else: + raise Exception("No user message found") + + await cosmos_conversation_client.cosmosdb_client.close() + + # Submit request to Chat Completions for response + request_body = await request.get_json() + history_metadata["conversation_id"] = conversation_id + request_body["history_metadata"] = history_metadata + return await conversation_internal(request_body, request.headers) + + except Exception as e: + logging.exception("Exception in /history/generate") + return jsonify({"error": str(e)}), 500 + + +@bp.route("/history/update", methods=["POST"]) +async def update_conversation(): + authenticated_user = get_authenticated_user_details(request_headers=request.headers) + user_id = authenticated_user["user_principal_id"] + + ## check request for conversation_id + request_json = await request.get_json() + conversation_id = request_json.get("conversation_id", None) + + try: + # make sure cosmos is configured + cosmos_conversation_client = init_cosmosdb_client() + if not cosmos_conversation_client: + raise Exception("CosmosDB is not configured or not working") + + # check for the conversation_id, if the conversation is not set, we will create a new one + if not conversation_id: + raise Exception("No conversation_id found") + + ## Format the incoming message object in the "chat/completions" messages format + ## then write it to the conversation history in cosmos + messages = request_json["messages"] + if len(messages) > 0 and messages[-1]["role"] == "assistant": + if len(messages) > 1 and messages[-2].get("role", None) == "tool": + # write the tool message first + await cosmos_conversation_client.create_message( + uuid=str(uuid.uuid4()), + conversation_id=conversation_id, + user_id=user_id, + input_message=messages[-2], + ) + # write the assistant message + await cosmos_conversation_client.create_message( + uuid=messages[-1]["id"], + conversation_id=conversation_id, + user_id=user_id, + input_message=messages[-1], + ) + else: + raise Exception("No bot messages found") + + # Submit request to Chat Completions for response + await cosmos_conversation_client.cosmosdb_client.close() + response = {"success": True} + return jsonify(response), 200 + + except Exception as e: + logging.exception("Exception in /history/update") + return jsonify({"error": str(e)}), 500 + + +@bp.route("/history/message_feedback", methods=["POST"]) +async def update_message(): + authenticated_user = get_authenticated_user_details(request_headers=request.headers) + user_id = authenticated_user["user_principal_id"] + cosmos_conversation_client = init_cosmosdb_client() + + ## check request for message_id + request_json = await request.get_json() + message_id = request_json.get("message_id", None) + message_feedback = request_json.get("message_feedback", None) + try: + if not message_id: + return jsonify({"error": "message_id is required"}), 400 + + if not message_feedback: + return jsonify({"error": "message_feedback is required"}), 400 + + ## update the message in cosmos + updated_message = await cosmos_conversation_client.update_message_feedback( + user_id, message_id, message_feedback + ) + if updated_message: + return ( + jsonify( + { + "message": f"Successfully updated message with feedback {message_feedback}", + "message_id": message_id, + } + ), + 200, + ) + else: + return ( + jsonify( + { + "error": f"Unable to update message {message_id}. It either does not exist or the user does not have access to it." + } + ), + 404, + ) + + except Exception as e: + logging.exception("Exception in /history/message_feedback") + return jsonify({"error": str(e)}), 500 + + +@bp.route("/history/delete", methods=["DELETE"]) +async def delete_conversation(): + ## get the user id from the request headers + authenticated_user = get_authenticated_user_details(request_headers=request.headers) + user_id = authenticated_user["user_principal_id"] + + ## check request for conversation_id + request_json = await request.get_json() + conversation_id = request_json.get("conversation_id", None) + + try: + if not conversation_id: + return jsonify({"error": "conversation_id is required"}), 400 + + ## make sure cosmos is configured + cosmos_conversation_client = init_cosmosdb_client() + if not cosmos_conversation_client: + raise Exception("CosmosDB is not configured or not working") + + ## delete the conversation messages from cosmos first + deleted_messages = await cosmos_conversation_client.delete_messages( + conversation_id, user_id + ) + + ## Now delete the conversation + deleted_conversation = await cosmos_conversation_client.delete_conversation( + user_id, conversation_id + ) + + await cosmos_conversation_client.cosmosdb_client.close() + + return ( + jsonify( + { + "message": "Successfully deleted conversation and messages", + "conversation_id": conversation_id, + } + ), + 200, + ) + except Exception as e: + logging.exception("Exception in /history/delete") + return jsonify({"error": str(e)}), 500 + + +@bp.route("/history/list", methods=["GET"]) +async def list_conversations(): + offset = request.args.get("offset", 0) + authenticated_user = get_authenticated_user_details(request_headers=request.headers) + user_id = authenticated_user["user_principal_id"] + + ## make sure cosmos is configured + cosmos_conversation_client = init_cosmosdb_client() + if not cosmos_conversation_client: + raise Exception("CosmosDB is not configured or not working") + + ## get the conversations from cosmos + conversations = await cosmos_conversation_client.get_conversations( + user_id, offset=offset, limit=25 + ) + await cosmos_conversation_client.cosmosdb_client.close() + if not isinstance(conversations, list): + return jsonify({"error": f"No conversations for {user_id} were found"}), 404 + + ## return the conversation ids + + return jsonify(conversations), 200 + + +@bp.route("/history/read", methods=["POST"]) +async def get_conversation(): + authenticated_user = get_authenticated_user_details(request_headers=request.headers) + user_id = authenticated_user["user_principal_id"] + + ## check request for conversation_id + request_json = await request.get_json() + conversation_id = request_json.get("conversation_id", None) + + if not conversation_id: + return jsonify({"error": "conversation_id is required"}), 400 + + ## make sure cosmos is configured + cosmos_conversation_client = init_cosmosdb_client() + if not cosmos_conversation_client: + raise Exception("CosmosDB is not configured or not working") + + ## get the conversation object and the related messages from cosmos + conversation = await cosmos_conversation_client.get_conversation( + user_id, conversation_id + ) + ## return the conversation id and the messages in the bot frontend format + if not conversation: + return ( + jsonify( + { + "error": f"Conversation {conversation_id} was not found. It either does not exist or the logged in user does not have access to it." + } + ), + 404, + ) + + # get the messages for the conversation from cosmos + conversation_messages = await cosmos_conversation_client.get_messages( + user_id, conversation_id + ) + + ## format the messages in the bot frontend format + messages = [ + { + "id": msg["id"], + "role": msg["role"], + "content": msg["content"], + "createdAt": msg["createdAt"], + "feedback": msg.get("feedback"), + } + for msg in conversation_messages + ] + + await cosmos_conversation_client.cosmosdb_client.close() + return jsonify({"conversation_id": conversation_id, "messages": messages}), 200 + + +@bp.route("/history/rename", methods=["POST"]) +async def rename_conversation(): + authenticated_user = get_authenticated_user_details(request_headers=request.headers) + user_id = authenticated_user["user_principal_id"] + + ## check request for conversation_id + request_json = await request.get_json() + conversation_id = request_json.get("conversation_id", None) + + if not conversation_id: + return jsonify({"error": "conversation_id is required"}), 400 + + ## make sure cosmos is configured + cosmos_conversation_client = init_cosmosdb_client() + if not cosmos_conversation_client: + raise Exception("CosmosDB is not configured or not working") + + ## get the conversation from cosmos + conversation = await cosmos_conversation_client.get_conversation( + user_id, conversation_id + ) + if not conversation: + return ( + jsonify( + { + "error": f"Conversation {conversation_id} was not found. It either does not exist or the logged in user does not have access to it." + } + ), + 404, + ) + + ## update the title + title = request_json.get("title", None) + if not title: + return jsonify({"error": "title is required"}), 400 + conversation["title"] = title + updated_conversation = await cosmos_conversation_client.upsert_conversation( + conversation + ) + + await cosmos_conversation_client.cosmosdb_client.close() + return jsonify(updated_conversation), 200 + + +@bp.route("/history/delete_all", methods=["DELETE"]) +async def delete_all_conversations(): + ## get the user id from the request headers + authenticated_user = get_authenticated_user_details(request_headers=request.headers) + user_id = authenticated_user["user_principal_id"] + + # get conversations for user + try: + ## make sure cosmos is configured + cosmos_conversation_client = init_cosmosdb_client() + if not cosmos_conversation_client: + raise Exception("CosmosDB is not configured or not working") + + conversations = await cosmos_conversation_client.get_conversations( + user_id, offset=0, limit=None + ) + if not conversations: + return jsonify({"error": f"No conversations for {user_id} were found"}), 404 + + # delete each conversation + for conversation in conversations: + ## delete the conversation messages from cosmos first + deleted_messages = await cosmos_conversation_client.delete_messages( + conversation["id"], user_id + ) + + ## Now delete the conversation + deleted_conversation = await cosmos_conversation_client.delete_conversation( + user_id, conversation["id"] + ) + await cosmos_conversation_client.cosmosdb_client.close() + return ( + jsonify( + { + "message": f"Successfully deleted conversation and messages for user {user_id}" + } + ), + 200, + ) + + except Exception as e: + logging.exception("Exception in /history/delete_all") + return jsonify({"error": str(e)}), 500 + + +@bp.route("/history/clear", methods=["POST"]) +async def clear_messages(): + ## get the user id from the request headers + authenticated_user = get_authenticated_user_details(request_headers=request.headers) + user_id = authenticated_user["user_principal_id"] + + ## check request for conversation_id + request_json = await request.get_json() + conversation_id = request_json.get("conversation_id", None) + + try: + if not conversation_id: + return jsonify({"error": "conversation_id is required"}), 400 + + ## make sure cosmos is configured + cosmos_conversation_client = init_cosmosdb_client() + if not cosmos_conversation_client: + raise Exception("CosmosDB is not configured or not working") + + ## delete the conversation messages from cosmos + deleted_messages = await cosmos_conversation_client.delete_messages( + conversation_id, user_id + ) + + return ( + jsonify( + { + "message": "Successfully deleted messages in conversation", + "conversation_id": conversation_id, + } + ), + 200, + ) + except Exception as e: + logging.exception("Exception in /history/clear_messages") + return jsonify({"error": str(e)}), 500 + + +@bp.route("/history/ensure", methods=["GET"]) +async def ensure_cosmos(): + if not app_settings.chat_history: + return jsonify({"error": "CosmosDB is not configured"}), 404 + + try: + cosmos_conversation_client = init_cosmosdb_client() + success, err = await cosmos_conversation_client.ensure() + if not cosmos_conversation_client or not success: + if err: + return jsonify({"error": err}), 422 + return jsonify({"error": "CosmosDB is not configured or not working"}), 500 + + await cosmos_conversation_client.cosmosdb_client.close() + return jsonify({"message": "CosmosDB is configured and working"}), 200 + except Exception as e: + logging.exception("Exception in /history/ensure") + cosmos_exception = str(e) + if "Invalid credentials" in cosmos_exception: + return jsonify({"error": cosmos_exception}), 401 + elif "Invalid CosmosDB database name" in cosmos_exception: + return ( + jsonify( + { + "error": f"{cosmos_exception} {app_settings.chat_history.database} for account {app_settings.chat_history.account}" + } + ), + 422, + ) + elif "Invalid CosmosDB container name" in cosmos_exception: + return ( + jsonify( + { + "error": f"{cosmos_exception}: {app_settings.chat_history.conversations_container}" + } + ), + 422, + ) + else: + return jsonify({"error": "CosmosDB is not working"}), 500 + +@bp.route("/generate_template", methods=["POST"]) +async def generate_template(): + ## check request for conversation_id + request_json = await request.get_json() + try: + template = await generate_template(request_json["messages"]) + return jsonify(template), 200 + except Exception as e: + logging.exception("Exception in /history/clear_messages") + return jsonify({"error": str(e)}), 500 + +@bp.route("/extract_template_from_image", methods=["POST"]) +async def extract_template_from_image(): + request_json = await request.get_json() + try: + if "image_url" not in request_json: + # bad request if image_url is not provided + return jsonify({"error": "image_url is required"}), 400 + + template = await extract_template_from_image(request_json["image_url"]) + return jsonify(template), 200 + except Exception as e: + logging.exception("Exception in /history/clear_messages") + return jsonify({"error": str(e)}), 500 + +@bp.route("/section/generate", methods=["POST"]) +async def generate_section_content(): + request_json = await request.get_json() + try: + # verify that section title and section description are provided + if "sectionTitle" not in request_json: + return jsonify({"error": "sectionTitle is required"}), 400 + + if "sectionDescription" not in request_json: + return jsonify({"error": "sectionDescription is required"}), 400 + + template = await generate_section_content(request_json) + return jsonify(template), 200 + except Exception as e: + logging.exception("Exception in /history/clear_messages") + return jsonify({"error": str(e)}), 500 + +async def generate_title(conversation_messages): + ## make sure the messages are sorted by _ts descending + title_prompt = 'Summarize the conversation so far into a 4-word or less title. Do not use any quotation marks or punctuation. Respond with a json object in the format {{"title": string}}. Do not include any other commentary or description.' + + messages = [ + {"role": msg["role"], "content": msg["content"]} + for msg in conversation_messages + ] + messages.append({"role": "user", "content": title_prompt}) + + try: + azure_openai_client = init_openai_client(use_data=False) + response = await azure_openai_client.chat.completions.create( + model=app_settings.azure_openai.model, messages=messages, temperature=1, max_tokens=64 + ) + + title = json.loads(response.choices[0].message.content)["title"] + return title + except Exception as e: + return messages[-2]["content"] + +async def generate_template(conversation_messages): + template_prompt = ('Generate a template for a document given a user description of the template. Do not include any other commentary or description.' + + 'Respond with a json object in the format containing a list of section information {{"template": [{"section_title": string, "section_description": string}]}}.' + + 'Example: {"template": [{"section_title": "Introduction", "section_description": "This section introduces the document."}, {"section_title": "Section 2", "section_description": "This is section 2."}]}.') + + messages = [ + {"role": msg["role"], "content": msg["content"]} + for msg in conversation_messages + ] + messages.append({"role": "user", "content": template_prompt}) + + try: + azure_openai_client = init_openai_client() + response = await azure_openai_client.chat.completions.create( + model=app_settings.azure_openai.model, messages=messages, temperature=1 + ) + + template = json.loads(response.choices[0].message.content) + return template + except Exception as e: + raise e + +async def extract_template_from_image(image_url): + template_prompt = """You are an assistant that can look at an image of a document + and produce a description of a template that the document follows. + A document uploaded will be an instance of a template. + + The structure of the document describes the section titles that exist and what type of information should be present in each section. + The section_desription should be a brief description of the type of information that should be present in that section. + You will need to infer the section descriptions based on the instance of that section in the document. + The section_description should not contain any information about the content of the document, only the structure of the document. + + Return a resonse as a json object: + {"template": [ + {"section_title": , "section_description": }, + ... + ]} + + The json object should be a valid json object with a list of dictionaries. Don't respond in markdown or any other format. + + Do not include any other commentary or description in the response. + If the image is not a document, respond with . + """ + + # add system prompt to messages + messages = [ + { + "role": "system", + "content": app_settings.azure_openai.system_message + } + ] + messages.append( + { + "role": "user", + "content": [ + { + "type": "text", + "text": template_prompt, + }, + { + "type": "image_url", + "image_url": { + "url": image_url + } + } + ] + } + ) + + try: + azure_openai_client = init_openai_client() + response = await azure_openai_client.chat.completions.create( + model=app_settings.azure_openai.model, messages=messages, temperature=0 + ) + + print(response.choices[0].message.content) + + template = json.loads(response.choices[0].message.content) + return template + except Exception as e: + raise e + +async def generate_section_content(request_json): + prompt = f"""Help the user generate content for a section in a document. The user has provided a section title and a brief description of the section. + The user would like you to provide a more detailed description of the section. Respond with a json object in the format {{"section_content": string}}. + Do not include any other commentary or description. Example: {{"section_content": "This section introduces the document."}}. + + Here is the section title and description: + Section Title: {request_json['sectionTitle']} + Section Description: {request_json['sectionDescription']} + """ + + messages = [ + { + "role": "system", + "content": app_settings.azure_openai.system_message + } + ] + messages.append({"role": "user", "content": prompt}) + + try: + azure_openai_client = init_openai_client() + response = await azure_openai_client.chat.completions.create( + model=app_settings.azure_openai.model, messages=messages, temperature=0 + ) + + template = json.loads(response.choices[0].message.content) + return template + except Exception as e: + raise e + +app = create_app() diff --git a/azure.yaml b/azure.yaml new file mode 100644 index 00000000..f47ec753 --- /dev/null +++ b/azure.yaml @@ -0,0 +1,45 @@ +# yaml-language-server: $schema=https://raw.githubusercontent.com/Azure/azure-dev/main/schemas/v1.0/azure.yaml.json + +name: sample-app-aoai-chatgpt +metadata: + template: sample-app-aoai-chatgpt@0.0.1-beta +services: + backend: + project: . + language: py + host: appservice + hooks: + prepackage: + windows: + shell: pwsh + run: cd ./frontend;npm install;npm run build + interactive: true + continueOnError: false + posix: + shell: sh + run: cd ./frontend;npm install;npm run build + interactive: true + continueOnError: false +hooks: + preprovision: + windows: + shell: pwsh + run: ./scripts/auth_init.ps1 + interactive: true + continueOnError: false + posix: + shell: sh + run: ./scripts/auth_init.sh + interactive: true + continueOnError: false + postprovision: + windows: + shell: pwsh + run: ./scripts/auth_update.ps1;./scripts/prepdocs.ps1; + interactive: true + continueOnError: false + posix: + shell: sh + run: ./scripts/auth_update.sh;./scripts/prepdocs.sh; + interactive: true + continueOnError: false diff --git a/backend/auth/__init__.py b/backend/auth/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/backend/auth/auth_utils.py b/backend/auth/auth_utils.py new file mode 100644 index 00000000..59dd02ea --- /dev/null +++ b/backend/auth/auth_utils.py @@ -0,0 +1,20 @@ +def get_authenticated_user_details(request_headers): + user_object = {} + + ## check the headers for the Principal-Id (the guid of the signed in user) + if "X-Ms-Client-Principal-Id" not in request_headers.keys(): + ## if it's not, assume we're in development mode and return a default user + from . import sample_user + raw_user_object = sample_user.sample_user + else: + ## if it is, get the user details from the EasyAuth headers + raw_user_object = {k:v for k,v in request_headers.items()} + + user_object['user_principal_id'] = raw_user_object.get('X-Ms-Client-Principal-Id') + user_object['user_name'] = raw_user_object.get('X-Ms-Client-Principal-Name') + user_object['auth_provider'] = raw_user_object.get('X-Ms-Client-Principal-Idp') + user_object['auth_token'] = raw_user_object.get('X-Ms-Token-Aad-Id-Token') + user_object['client_principal_b64'] = raw_user_object.get('X-Ms-Client-Principal') + user_object['aad_id_token'] = raw_user_object.get('X-Ms-Token-Aad-Id-Token') + + return user_object \ No newline at end of file diff --git a/backend/auth/sample_user.py b/backend/auth/sample_user.py new file mode 100644 index 00000000..0b10d9ab --- /dev/null +++ b/backend/auth/sample_user.py @@ -0,0 +1,39 @@ +sample_user = { + "Accept": "*/*", + "Accept-Encoding": "gzip, deflate, br", + "Accept-Language": "en", + "Client-Ip": "22.222.222.2222:64379", + "Content-Length": "192", + "Content-Type": "application/json", + "Cookie": "AppServiceAuthSession=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", + "Disguised-Host": "your_app_service.azurewebsites.net", + "Host": "your_app_service.azurewebsites.net", + "Max-Forwards": "10", + "Origin": "https://your_app_service.azurewebsites.net", + "Referer": "https://your_app_service.azurewebsites.net/", + "Sec-Ch-Ua": "\"Microsoft Edge\";v=\"113\", \"Chromium\";v=\"113\", \"Not-A.Brand\";v=\"24\"", + "Sec-Ch-Ua-Mobile": "?0", + "Sec-Ch-Ua-Platform": "\"Windows\"", + "Sec-Fetch-Dest": "empty", + "Sec-Fetch-Mode": "cors", + "Sec-Fetch-Site": "same-origin", + "Traceparent": "00-24e9a8d1b06f233a3f1714845ef971a9-3fac69f81ca5175c-00", + "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113.0.1774.42", + "Was-Default-Hostname": "your_app_service.azurewebsites.net", + "X-Appservice-Proto": "https", + "X-Arr-Log-Id": "4102b832-6c88-4c7c-8996-0edad9e4358f", + "X-Arr-Ssl": "2048|256|CN=Microsoft Azure TLS Issuing CA 02, O=Microsoft Corporation, C=US|CN=*.azurewebsites.net, O=Microsoft Corporation, L=Redmond, S=WA, C=US", + "X-Client-Ip": "22.222.222.222", + "X-Client-Port": "64379", + "X-Forwarded-For": "22.222.222.22:64379", + "X-Forwarded-Proto": "https", + "X-Forwarded-Tlsversion": "1.2", + "X-Ms-Client-Principal": "your_base_64_encoded_token", + "X-Ms-Client-Principal-Id": "00000000-0000-0000-0000-000000000000", + "X-Ms-Client-Principal-Idp": "aad", + "X-Ms-Client-Principal-Name": "testusername@constoso.com", + "X-Ms-Token-Aad-Id-Token": "your_aad_id_token", + "X-Original-Url": "/chatgpt", + "X-Site-Deployment-Id": "your_app_service", + "X-Waws-Unencoded-Url": "/chatgpt" +} diff --git a/backend/history/cosmosdbservice.py b/backend/history/cosmosdbservice.py new file mode 100644 index 00000000..621fa046 --- /dev/null +++ b/backend/history/cosmosdbservice.py @@ -0,0 +1,183 @@ +import uuid +from datetime import datetime +from azure.cosmos.aio import CosmosClient +from azure.cosmos import exceptions + +class CosmosConversationClient(): + + def __init__(self, cosmosdb_endpoint: str, credential: any, database_name: str, container_name: str, enable_message_feedback: bool = False): + self.cosmosdb_endpoint = cosmosdb_endpoint + self.credential = credential + self.database_name = database_name + self.container_name = container_name + self.enable_message_feedback = enable_message_feedback + try: + self.cosmosdb_client = CosmosClient(self.cosmosdb_endpoint, credential=credential) + except exceptions.CosmosHttpResponseError as e: + if e.status_code == 401: + raise ValueError("Invalid credentials") from e + else: + raise ValueError("Invalid CosmosDB endpoint") from e + + try: + self.database_client = self.cosmosdb_client.get_database_client(database_name) + except exceptions.CosmosResourceNotFoundError: + raise ValueError("Invalid CosmosDB database name") + + try: + self.container_client = self.database_client.get_container_client(container_name) + except exceptions.CosmosResourceNotFoundError: + raise ValueError("Invalid CosmosDB container name") + + + async def ensure(self): + if not self.cosmosdb_client or not self.database_client or not self.container_client: + return False, "CosmosDB client not initialized correctly" + try: + database_info = await self.database_client.read() + except: + return False, f"CosmosDB database {self.database_name} on account {self.cosmosdb_endpoint} not found" + + try: + container_info = await self.container_client.read() + except: + return False, f"CosmosDB container {self.container_name} not found" + + return True, "CosmosDB client initialized successfully" + + async def create_conversation(self, user_id, title = ''): + conversation = { + 'id': str(uuid.uuid4()), + 'type': 'conversation', + 'createdAt': datetime.utcnow().isoformat(), + 'updatedAt': datetime.utcnow().isoformat(), + 'userId': user_id, + 'title': title + } + ## TODO: add some error handling based on the output of the upsert_item call + resp = await self.container_client.upsert_item(conversation) + if resp: + return resp + else: + return False + + async def upsert_conversation(self, conversation): + resp = await self.container_client.upsert_item(conversation) + if resp: + return resp + else: + return False + + async def delete_conversation(self, user_id, conversation_id): + conversation = await self.container_client.read_item(item=conversation_id, partition_key=user_id) + if conversation: + resp = await self.container_client.delete_item(item=conversation_id, partition_key=user_id) + return resp + else: + return True + + + async def delete_messages(self, conversation_id, user_id): + ## get a list of all the messages in the conversation + messages = await self.get_messages(user_id, conversation_id) + response_list = [] + if messages: + for message in messages: + resp = await self.container_client.delete_item(item=message['id'], partition_key=user_id) + response_list.append(resp) + return response_list + + + async def get_conversations(self, user_id, limit, sort_order = 'DESC', offset = 0): + parameters = [ + { + 'name': '@userId', + 'value': user_id + } + ] + query = f"SELECT * FROM c where c.userId = @userId and c.type='conversation' order by c.updatedAt {sort_order}" + if limit is not None: + query += f" offset {offset} limit {limit}" + + conversations = [] + async for item in self.container_client.query_items(query=query, parameters=parameters): + conversations.append(item) + + return conversations + + async def get_conversation(self, user_id, conversation_id): + parameters = [ + { + 'name': '@conversationId', + 'value': conversation_id + }, + { + 'name': '@userId', + 'value': user_id + } + ] + query = f"SELECT * FROM c where c.id = @conversationId and c.type='conversation' and c.userId = @userId" + conversations = [] + async for item in self.container_client.query_items(query=query, parameters=parameters): + conversations.append(item) + + ## if no conversations are found, return None + if len(conversations) == 0: + return None + else: + return conversations[0] + + async def create_message(self, uuid, conversation_id, user_id, input_message: dict): + message = { + 'id': uuid, + 'type': 'message', + 'userId' : user_id, + 'createdAt': datetime.utcnow().isoformat(), + 'updatedAt': datetime.utcnow().isoformat(), + 'conversationId' : conversation_id, + 'role': input_message['role'], + 'content': input_message['content'] + } + + if self.enable_message_feedback: + message['feedback'] = '' + + resp = await self.container_client.upsert_item(message) + if resp: + ## update the parent conversations's updatedAt field with the current message's createdAt datetime value + conversation = await self.get_conversation(user_id, conversation_id) + if not conversation: + return "Conversation not found" + conversation['updatedAt'] = message['createdAt'] + await self.upsert_conversation(conversation) + return resp + else: + return False + + async def update_message_feedback(self, user_id, message_id, feedback): + message = await self.container_client.read_item(item=message_id, partition_key=user_id) + if message: + message['feedback'] = feedback + resp = await self.container_client.upsert_item(message) + return resp + else: + return False + + async def get_messages(self, user_id, conversation_id): + parameters = [ + { + 'name': '@conversationId', + 'value': conversation_id + }, + { + 'name': '@userId', + 'value': user_id + } + ] + query = f"SELECT * FROM c WHERE c.conversationId = @conversationId AND c.type='message' AND c.userId = @userId ORDER BY c.timestamp ASC" + messages = [] + async for item in self.container_client.query_items(query=query, parameters=parameters): + messages.append(item) + + return messages + diff --git a/backend/security/__init__.py b/backend/security/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/backend/security/ms_defender_utils.py b/backend/security/ms_defender_utils.py new file mode 100644 index 00000000..1c62e782 --- /dev/null +++ b/backend/security/ms_defender_utils.py @@ -0,0 +1,11 @@ +import json + +def get_msdefender_user_json(authenticated_user_details, request_headers): + auth_provider = authenticated_user_details.get('auth_provider') + source_ip = request_headers.get('X-Forwarded-For', request_headers.get('Remote-Addr', '')) + user_args = { + "EndUserId": authenticated_user_details.get('user_principal_id'), + "EndUserIdType": "EntraId" if auth_provider == "aad" else auth_provider, + "SourceIp": source_ip.split(':')[0], #remove port + } + return json.dumps(user_args) \ No newline at end of file diff --git a/backend/settings.py b/backend/settings.py new file mode 100644 index 00000000..0146841c --- /dev/null +++ b/backend/settings.py @@ -0,0 +1,734 @@ +import os +import json +import logging +from abc import ABC, abstractmethod +from pydantic import ( + BaseModel, + confloat, + conint, + conlist, + Field, + field_validator, + model_validator, + PrivateAttr, + ValidationError, + ValidationInfo +) +from pydantic.alias_generators import to_snake +from pydantic_settings import BaseSettings, SettingsConfigDict +from typing import List, Literal, Optional +from typing_extensions import Self +from quart import Request +from backend.utils import parse_multi_columns, generateFilterString + +DOTENV_PATH = os.environ.get( + "DOTENV_PATH", + os.path.join( + os.path.dirname( + os.path.dirname(__file__) + ), + ".env" + ) +) +MINIMUM_SUPPORTED_AZURE_OPENAI_PREVIEW_API_VERSION = "2024-05-01-preview" + + +class _UiSettings(BaseSettings): + model_config = SettingsConfigDict( + env_prefix="UI_", + env_file=DOTENV_PATH, + extra="ignore", + env_ignore_empty=True + ) + + title: str = "Document Generation" + logo: Optional[str] = None + chat_logo: Optional[str] = None + chat_title: str = "Document Generation" + chat_description: str = "AI-powered document search and creation." + favicon: str = "/favicon.ico" + show_share_button: bool = False + + +class _ChatHistorySettings(BaseSettings): + model_config = SettingsConfigDict( + env_prefix="AZURE_COSMOSDB_", + env_file=DOTENV_PATH, + extra="ignore", + env_ignore_empty=True + ) + + database: str + account: str + account_key: Optional[str] = None + conversations_container: str + enable_feedback: bool = False + + +class _PromptflowSettings(BaseSettings): + model_config = SettingsConfigDict( + env_prefix="PROMPTFLOW_", + env_file=DOTENV_PATH, + extra="ignore", + env_ignore_empty=True + ) + + endpoint: str + api_key: str + response_timeout: float = 30.0 + request_field_name: str = "query" + response_field_name: str = "reply" + citations_field_name: str = "documents" + + +class _AzureOpenAIFunction(BaseModel): + name: str = Field(..., min_length=1) + description: str = Field(..., min_length=1) + parameters: Optional[dict] = None + + +class _AzureOpenAITool(BaseModel): + type: Literal['function'] = 'function' + function: _AzureOpenAIFunction + + +class _AzureOpenAISettings(BaseSettings): + model_config = SettingsConfigDict( + env_prefix="AZURE_OPENAI_", + env_file=DOTENV_PATH, + extra='ignore', + env_ignore_empty=True + ) + + model: str + key: Optional[str] = None + resource: Optional[str] = None + endpoint: Optional[str] = None + temperature: float = 0 + top_p: float = 0 + max_tokens: int = 1000 + stream: bool = True + stop_sequence: Optional[List[str]] = None + seed: Optional[int] = None + choices_count: Optional[conint(ge=1, le=128)] = Field(default=1, serialization_alias="n") + user: Optional[str] = None + tools: Optional[conlist(_AzureOpenAITool, min_length=1)] = None + tool_choice: Optional[str] = None + logit_bias: Optional[dict] = None + presence_penalty: Optional[confloat(ge=-2.0, le=2.0)] = 0.0 + frequency_penalty: Optional[confloat(ge=-2.0, le=2.0)] = 0.0 + system_message: str = "You are an AI assistant that helps people find information." + preview_api_version: str = MINIMUM_SUPPORTED_AZURE_OPENAI_PREVIEW_API_VERSION + embedding_endpoint: Optional[str] = None + embedding_key: Optional[str] = None + embedding_name: Optional[str] = None + + @field_validator('tools', mode='before') + @classmethod + def deserialize_tools(cls, tools_json_str: str) -> List[_AzureOpenAITool]: + if isinstance(tools_json_str, str): + try: + tools_dict = json.loads(tools_json_str) + return _AzureOpenAITool(**tools_dict) + except json.JSONDecodeError: + logging.warning("No valid tool definition found in the environment. If you believe this to be in error, please check that the value of AZURE_OPENAI_TOOLS is a valid JSON string.") + + except ValidationError as e: + logging.warning(f"An error occurred while deserializing the tool definition - {str(e)}") + + return None + + @field_validator('logit_bias', mode='before') + @classmethod + def deserialize_logit_bias(cls, logit_bias_json_str: str) -> dict: + if isinstance(logit_bias_json_str, str): + try: + return json.loads(logit_bias_json_str) + except json.JSONDecodeError as e: + logging.warning(f"An error occurred while deserializing the logit bias string -- {str(e)}") + + return None + + @field_validator('stop_sequence', mode='before') + @classmethod + def split_contexts(cls, comma_separated_string: str) -> List[str]: + if isinstance(comma_separated_string, str) and len(comma_separated_string) > 0: + return parse_multi_columns(comma_separated_string) + + return None + + @model_validator(mode="after") + def ensure_endpoint(self) -> Self: + if self.endpoint: + return Self + + elif self.resource: + self.endpoint = f"https://{self.resource}.openai.azure.com" + return Self + + raise ValidationError("AZURE_OPENAI_ENDPOINT or AZURE_OPENAI_RESOURCE is required") + + def extract_embedding_dependency(self) -> Optional[dict]: + if self.embedding_name: + return { + "type": "deployment_name", + "deployment_name": self.embedding_name + } + + elif self.embedding_endpoint and self.embedding_key: + return { + "type": "endpoint", + "endpoint": self.embedding_endpoint, + "authentication": { + "type": "api_key", + "api_key": self.embedding_key + } + } + else: + return None + + +class _SearchCommonSettings(BaseSettings): + model_config = SettingsConfigDict( + env_prefix="SEARCH_", + env_file=DOTENV_PATH, + extra="ignore", + env_ignore_empty=True + ) + max_search_queries: Optional[int] = None + allow_partial_result: bool = False + include_contexts: Optional[List[str]] = ["citations", "intent"] + vectorization_dimensions: Optional[int] = None + role_information: str = Field( + default="You are an AI assistant that helps people find information.", + validation_alias="AZURE_OPENAI_SYSTEM_MESSAGE" + ) + + @field_validator('include_contexts', mode='before') + @classmethod + def split_contexts(cls, comma_separated_string: str, info: ValidationInfo) -> List[str]: + if isinstance(comma_separated_string, str) and len(comma_separated_string) > 0: + return parse_multi_columns(comma_separated_string) + + return cls.model_fields[info.field_name].get_default() + + +class DatasourcePayloadConstructor(BaseModel, ABC): + _settings: '_AppSettings' = PrivateAttr() + + def __init__(self, settings: '_AppSettings', **data): + super().__init__(**data) + self._settings = settings + + @abstractmethod + def construct_payload_configuration( + self, + *args, + **kwargs + ): + pass + + +class _AzureSearchSettings(BaseSettings, DatasourcePayloadConstructor): + model_config = SettingsConfigDict( + env_prefix="AZURE_SEARCH_", + env_file=DOTENV_PATH, + extra="ignore", + env_ignore_empty=True + ) + _type: Literal["azure_search"] = PrivateAttr(default="azure_search") + top_k: int = Field(default=5, serialization_alias="top_n_documents") + strictness: int = 3 + enable_in_domain: bool = Field(default=True, serialization_alias="in_scope") + service: str = Field(exclude=True) + endpoint_suffix: str = Field(default="search.windows.net", exclude=True) + index: str = Field(serialization_alias="index_name") + key: Optional[str] = Field(default=None, exclude=True) + use_semantic_search: bool = Field(default=False, exclude=True) + semantic_search_config: str = Field(default="", serialization_alias="semantic_configuration") + content_columns: Optional[List[str]] = Field(default=None, exclude=True) + vector_columns: Optional[List[str]] = Field(default=None, exclude=True) + title_column: Optional[str] = Field(default=None, exclude=True) + url_column: Optional[str] = Field(default=None, exclude=True) + filename_column: Optional[str] = Field(default=None, exclude=True) + query_type: Literal[ + 'simple', + 'vector', + 'semantic', + 'vector_simple_hybrid', + 'vectorSimpleHybrid', + 'vector_semantic_hybrid', + 'vectorSemanticHybrid' + ] = "simple" + permitted_groups_column: Optional[str] = Field(default=None, exclude=True) + + # Constructed fields + endpoint: Optional[str] = None + authentication: Optional[dict] = None + embedding_dependency: Optional[dict] = None + fields_mapping: Optional[dict] = None + filter: Optional[str] = Field(default=None, exclude=True) + + @field_validator('content_columns', 'vector_columns', mode="before") + @classmethod + def split_columns(cls, comma_separated_string: str) -> List[str]: + if isinstance(comma_separated_string, str) and len(comma_separated_string) > 0: + return parse_multi_columns(comma_separated_string) + + return None + + @model_validator(mode="after") + def set_endpoint(self) -> Self: + self.endpoint = f"https://{self.service}.{self.endpoint_suffix}" + return self + + @model_validator(mode="after") + def set_authentication(self) -> Self: + if self.key: + self.authentication = {"type": "api_key", "key": self.key} + else: + self.authentication = {"type": "system_assigned_managed_identity"} + + return self + + @model_validator(mode="after") + def set_fields_mapping(self) -> Self: + self.fields_mapping = { + "content_fields": self.content_columns, + "title_field": self.title_column, + "url_field": self.url_column, + "filepath_field": self.filename_column, + "vector_fields": self.vector_columns + } + return self + + @model_validator(mode="after") + def set_query_type(self) -> Self: + self.query_type = to_snake(self.query_type) + + def _set_filter_string(self, request: Request) -> str: + if self.permitted_groups_column: + user_token = request.headers.get("X-MS-TOKEN-AAD-ACCESS-TOKEN", "") + logging.debug(f"USER TOKEN is {'present' if user_token else 'not present'}") + if not user_token: + raise ValueError( + "Document-level access control is enabled, but user access token could not be fetched." + ) + + filter_string = generateFilterString(user_token) + logging.debug(f"FILTER: {filter_string}") + return filter_string + + return None + + def construct_payload_configuration( + self, + *args, + **kwargs + ): + request = kwargs.pop('request', None) + if request and self.permitted_groups_column: + self.filter = self._set_filter_string(request) + + self.embedding_dependency = \ + self._settings.azure_openai.extract_embedding_dependency() + parameters = self.model_dump(exclude_none=True, by_alias=True) + parameters.update(self._settings.search.model_dump(exclude_none=True, by_alias=True)) + + return { + "type": self._type, + "parameters": parameters + } + + +class _AzureCosmosDbMongoVcoreSettings( + BaseSettings, + DatasourcePayloadConstructor +): + model_config = SettingsConfigDict( + env_prefix="AZURE_COSMOSDB_MONGO_VCORE_", + env_file=DOTENV_PATH, + extra="ignore", + env_ignore_empty=True + ) + _type: Literal["azure_cosmosdb"] = PrivateAttr(default="azure_cosmosdb") + top_k: int = Field(default=5, serialization_alias="top_n_documents") + strictness: int = 3 + enable_in_domain: bool = Field(default=True, serialization_alias="in_scope") + query_type: Literal['vector'] = "vector" + connection_string: str = Field(exclude=True) + index: str = Field(serialization_alias="index_name") + database: str = Field(serialization_alias="database_name") + container: str = Field(serialization_alias="container_name") + content_columns: Optional[List[str]] = Field(default=None, exclude=True) + vector_columns: Optional[List[str]] = Field(default=None, exclude=True) + title_column: Optional[str] = Field(default=None, exclude=True) + url_column: Optional[str] = Field(default=None, exclude=True) + filename_column: Optional[str] = Field(default=None, exclude=True) + + # Constructed fields + authentication: Optional[dict] = None + embedding_dependency: Optional[dict] = None + fields_mapping: Optional[dict] = None + + @field_validator('content_columns', 'vector_columns', mode="before") + @classmethod + def split_columns(cls, comma_separated_string: str) -> List[str]: + if isinstance(comma_separated_string, str) and len(comma_separated_string) > 0: + return parse_multi_columns(comma_separated_string) + + return None + + @model_validator(mode="after") + def construct_authentication(self) -> Self: + self.authentication = { + "type": "connection_string", + "connection_string": self.connection_string + } + return self + + @model_validator(mode="after") + def set_fields_mapping(self) -> Self: + self.fields_mapping = { + "content_fields": self.content_columns, + "title_field": self.title_column, + "url_field": self.url_column, + "filepath_field": self.filename_column, + "vector_fields": self.vector_columns + } + return self + + def construct_payload_configuration( + self, + *args, + **kwargs + ): + self.embedding_dependency = \ + self._settings.azure_openai.extract_embedding_dependency() + parameters = self.model_dump(exclude_none=True, by_alias=True) + parameters.update(self._settings.search.model_dump(exclude_none=True, by_alias=True)) + return { + "type": self._type, + "parameters": parameters + } + + +class _ElasticsearchSettings(BaseSettings, DatasourcePayloadConstructor): + model_config = SettingsConfigDict( + env_prefix="ELASTICSEARCH_", + env_file=DOTENV_PATH, + extra="ignore", + env_ignore_empty=True + ) + _type: Literal["elasticsearch"] = PrivateAttr(default="elasticsearch") + top_k: int = Field(default=5, serialization_alias="top_n_documents") + strictness: int = 3 + enable_in_domain: bool = Field(default=True, serialization_alias="in_scope") + endpoint: str + encoded_api_key: str = Field(exclude=True) + index: str = Field(serialization_alias="index_name") + query_type: Literal['simple', 'vector'] = "simple" + content_columns: Optional[List[str]] = Field(default=None, exclude=True) + vector_columns: Optional[List[str]] = Field(default=None, exclude=True) + title_column: Optional[str] = Field(default=None, exclude=True) + url_column: Optional[str] = Field(default=None, exclude=True) + filename_column: Optional[str] = Field(default=None, exclude=True) + embedding_model_id: Optional[str] = Field(default=None, exclude=True) + + # Constructed fields + authentication: Optional[dict] = None + embedding_dependency: Optional[dict] = None + fields_mapping: Optional[dict] = None + + @field_validator('content_columns', 'vector_columns', mode="before") + @classmethod + def split_columns(cls, comma_separated_string: str) -> List[str]: + if isinstance(comma_separated_string, str) and len(comma_separated_string) > 0: + return parse_multi_columns(comma_separated_string) + + return None + + @model_validator(mode="after") + def set_authentication(self) -> Self: + self.authentication = { + "type": "encoded_api_key", + "encoded_api_key": self.encoded_api_key + } + + return self + + @model_validator(mode="after") + def set_fields_mapping(self) -> Self: + self.fields_mapping = { + "content_fields": self.content_columns, + "title_field": self.title_column, + "url_field": self.url_column, + "filepath_field": self.filename_column, + "vector_fields": self.vector_columns + } + return self + + def construct_payload_configuration( + self, + *args, + **kwargs + ): + self.embedding_dependency = \ + {"type": "model_id", "model_id": self.embedding_model_id} if self.embedding_model_id else \ + self._settings.azure_openai.extract_embedding_dependency() + + parameters = self.model_dump(exclude_none=True, by_alias=True) + parameters.update(self._settings.search.model_dump(exclude_none=True, by_alias=True)) + + return { + "type": self._type, + "parameters": parameters + } + + +class _PineconeSettings(BaseSettings, DatasourcePayloadConstructor): + model_config = SettingsConfigDict( + env_prefix="PINECONE_", + env_file=DOTENV_PATH, + extra="ignore", + env_ignore_empty=True + ) + _type: Literal["pinecone"] = PrivateAttr(default="pinecone") + top_k: int = Field(default=5, serialization_alias="top_n_documents") + strictness: int = 3 + enable_in_domain: bool = Field(default=True, serialization_alias="in_scope") + environment: str + api_key: str = Field(exclude=True) + index_name: str + query_type: Literal["vector"] = "vector" + content_columns: Optional[List[str]] = Field(default=None, exclude=True) + vector_columns: Optional[List[str]] = Field(default=None, exclude=True) + title_column: Optional[str] = Field(default=None, exclude=True) + url_column: Optional[str] = Field(default=None, exclude=True) + filename_column: Optional[str] = Field(default=None, exclude=True) + + # Constructed fields + authentication: Optional[dict] = None + embedding_dependency: Optional[dict] = None + fields_mapping: Optional[dict] = None + + @field_validator('content_columns', 'vector_columns', mode="before") + @classmethod + def split_columns(cls, comma_separated_string: str) -> List[str]: + if isinstance(comma_separated_string, str) and len(comma_separated_string) > 0: + return parse_multi_columns(comma_separated_string) + + return None + + @model_validator(mode="after") + def set_authentication(self) -> Self: + self.authentication = { + "type": "api_key", + "api_key": self.api_key + } + + return self + + @model_validator(mode="after") + def set_fields_mapping(self) -> Self: + self.fields_mapping = { + "content_fields": self.content_columns, + "title_field": self.title_column, + "url_field": self.url_column, + "filepath_field": self.filename_column, + "vector_fields": self.vector_columns + } + return self + + def construct_payload_configuration( + self, + *args, + **kwargs + ): + self.embedding_dependency = \ + self._settings.azure_openai.extract_embedding_dependency() + parameters = self.model_dump(exclude_none=True, by_alias=True) + parameters.update(self._settings.search.model_dump(exclude_none=True, by_alias=True)) + + return { + "type": self._type, + "parameters": parameters + } + + +class _AzureMLIndexSettings(BaseSettings, DatasourcePayloadConstructor): + model_config = SettingsConfigDict( + env_prefix="AZURE_MLINDEX_", + env_file=DOTENV_PATH, + extra="ignore", + env_ignore_empty=True + ) + _type: Literal["azure_ml_index"] = PrivateAttr(default="azure_ml_index") + top_k: int = Field(default=5, serialization_alias="top_n_documents") + strictness: int = 3 + enable_in_domain: bool = Field(default=True, serialization_alias="in_scope") + name: str + version: str + project_resource_id: str = Field(validation_alias="AZURE_ML_PROJECT_RESOURCE_ID") + content_columns: Optional[List[str]] = Field(default=None, exclude=True) + vector_columns: Optional[List[str]] = Field(default=None, exclude=True) + title_column: Optional[str] = Field(default=None, exclude=True) + url_column: Optional[str] = Field(default=None, exclude=True) + filename_column: Optional[str] = Field(default=None, exclude=True) + + # Constructed fields + fields_mapping: Optional[dict] = None + + @field_validator('content_columns', 'vector_columns', mode="before") + @classmethod + def split_columns(cls, comma_separated_string: str) -> List[str]: + if isinstance(comma_separated_string, str) and len(comma_separated_string) > 0: + return parse_multi_columns(comma_separated_string) + + return None + + @model_validator(mode="after") + def set_fields_mapping(self) -> Self: + self.fields_mapping = { + "content_fields": self.content_columns, + "title_field": self.title_column, + "url_field": self.url_column, + "filepath_field": self.filename_column, + "vector_fields": self.vector_columns + } + return self + + def construct_payload_configuration( + self, + *args, + **kwargs + ): + parameters = self.model_dump(exclude_none=True, by_alias=True) + parameters.update(self._settings.search.model_dump(exclude_none=True, by_alias=True)) + + return { + "type": self._type, + "parameters": parameters + } + + +class _AzureSqlServerSettings(BaseSettings, DatasourcePayloadConstructor): + model_config = SettingsConfigDict( + env_prefix="AZURE_SQL_SERVER_", + env_file=DOTENV_PATH, + extra="ignore" + ) + _type: Literal["azure_sql_server"] = PrivateAttr(default="azure_sql_server") + + connection_string: str = Field(exclude=True) + table_schema: str + schema_max_row: Optional[int] = None + top_n_results: Optional[int] = None + + # Constructed fields + authentication: Optional[dict] = None + + @model_validator(mode="after") + def construct_authentication(self) -> Self: + self.authentication = { + "type": "connection_string", + "connection_string": self.connection_string + } + return self + + def construct_payload_configuration( + self, + *args, + **kwargs + ): + parameters = self.model_dump(exclude_none=True, by_alias=True) + #parameters.update(self._settings.search.model_dump(exclude_none=True, by_alias=True)) + + return { + "type": self._type, + "parameters": parameters + } + + +class _BaseSettings(BaseSettings): + model_config = SettingsConfigDict( + env_file=DOTENV_PATH, + extra="ignore", + arbitrary_types_allowed=True, + env_ignore_empty=True + ) + datasource_type: Optional[str] = None + auth_enabled: bool = False + sanitize_answer: bool = False + use_promptflow: bool = False + + +class _AppSettings(BaseModel): + base_settings: _BaseSettings = _BaseSettings() + azure_openai: _AzureOpenAISettings = _AzureOpenAISettings() + search: _SearchCommonSettings = _SearchCommonSettings() + ui: Optional[_UiSettings] = _UiSettings() + + # Constructed properties + chat_history: Optional[_ChatHistorySettings] = None + datasource: Optional[DatasourcePayloadConstructor] = None + promptflow: Optional[_PromptflowSettings] = None + + @model_validator(mode="after") + def set_promptflow_settings(self) -> Self: + try: + self.promptflow = _PromptflowSettings() + + except ValidationError: + self.promptflow = None + + return self + + @model_validator(mode="after") + def set_chat_history_settings(self) -> Self: + try: + self.chat_history = _ChatHistorySettings() + + except ValidationError: + self.chat_history = None + + return self + + @model_validator(mode="after") + def set_datasource_settings(self) -> Self: + try: + if self.base_settings.datasource_type == "AzureCognitiveSearch": + self.datasource = _AzureSearchSettings(settings=self, _env_file=DOTENV_PATH) + logging.debug("Using Azure Cognitive Search") + + elif self.base_settings.datasource_type == "AzureCosmosDB": + self.datasource = _AzureCosmosDbMongoVcoreSettings(settings=self, _env_file=DOTENV_PATH) + logging.debug("Using Azure CosmosDB Mongo vcore") + + elif self.base_settings.datasource_type == "Elasticsearch": + self.datasource = _ElasticsearchSettings(settings=self, _env_file=DOTENV_PATH) + logging.debug("Using Elasticsearch") + + elif self.base_settings.datasource_type == "Pinecone": + self.datasource = _PineconeSettings(settings=self, _env_file=DOTENV_PATH) + logging.debug("Using Pinecone") + + elif self.base_settings.datasource_type == "AzureMLIndex": + self.datasource = _AzureMLIndexSettings(settings=self, _env_file=DOTENV_PATH) + logging.debug("Using Azure ML Index") + + elif self.base_settings.datasource_type == "AzureSqlServer": + self.datasource = _AzureSqlServerSettings(settings=self, _env_file=DOTENV_PATH) + logging.debug("Using SQL Server") + + else: + self.datasource = None + logging.warning("No datasource configuration found in the environment -- calls will be made to Azure OpenAI without grounding data.") + + return self + + except ValidationError: + logging.warning("No datasource configuration found in the environment -- calls will be made to Azure OpenAI without grounding data.") + + +app_settings = _AppSettings() diff --git a/backend/utils.py b/backend/utils.py new file mode 100644 index 00000000..2466afd0 --- /dev/null +++ b/backend/utils.py @@ -0,0 +1,214 @@ +import os +import json +import logging +import requests +import dataclasses + +from typing import List + +DEBUG = os.environ.get("DEBUG", "false") +if DEBUG.lower() == "true": + logging.basicConfig(level=logging.DEBUG) + +AZURE_SEARCH_PERMITTED_GROUPS_COLUMN = os.environ.get( + "AZURE_SEARCH_PERMITTED_GROUPS_COLUMN" +) + + +class JSONEncoder(json.JSONEncoder): + def default(self, o): + if dataclasses.is_dataclass(o): + return dataclasses.asdict(o) + return super().default(o) + + +async def format_as_ndjson(r): + try: + async for event in r: + yield json.dumps(event, cls=JSONEncoder) + "\n" + except Exception as error: + logging.exception("Exception while generating response stream: %s", error) + yield json.dumps({"error": str(error)}) + + +def parse_multi_columns(columns: str) -> list: + if "|" in columns: + return columns.split("|") + else: + return columns.split(",") + + +def fetchUserGroups(userToken, nextLink=None): + # Recursively fetch group membership + if nextLink: + endpoint = nextLink + else: + endpoint = "https://graph.microsoft.com/v1.0/me/transitiveMemberOf?$select=id" + + headers = {"Authorization": "bearer " + userToken} + try: + r = requests.get(endpoint, headers=headers) + if r.status_code != 200: + logging.error(f"Error fetching user groups: {r.status_code} {r.text}") + return [] + + r = r.json() + if "@odata.nextLink" in r: + nextLinkData = fetchUserGroups(userToken, r["@odata.nextLink"]) + r["value"].extend(nextLinkData) + + return r["value"] + except Exception as e: + logging.error(f"Exception in fetchUserGroups: {e}") + return [] + + +def generateFilterString(userToken): + # Get list of groups user is a member of + userGroups = fetchUserGroups(userToken) + + # Construct filter string + if not userGroups: + logging.debug("No user groups found") + + group_ids = ", ".join([obj["id"] for obj in userGroups]) + return f"{AZURE_SEARCH_PERMITTED_GROUPS_COLUMN}/any(g:search.in(g, '{group_ids}'))" + + +def format_non_streaming_response(chatCompletion, history_metadata, apim_request_id): + response_obj = { + "id": chatCompletion.id, + "model": chatCompletion.model, + "created": chatCompletion.created, + "object": chatCompletion.object, + "choices": [{"messages": []}], + "history_metadata": history_metadata, + "apim-request-id": apim_request_id, + } + + if len(chatCompletion.choices) > 0: + message = chatCompletion.choices[0].message + if message: + if hasattr(message, "context"): + response_obj["choices"][0]["messages"].append( + { + "role": "tool", + "content": json.dumps(message.context), + } + ) + response_obj["choices"][0]["messages"].append( + { + "role": "assistant", + "content": message.content, + } + ) + return response_obj + + return {} + +def format_stream_response(chatCompletionChunk, history_metadata, apim_request_id): + response_obj = { + "id": chatCompletionChunk.id, + "model": chatCompletionChunk.model, + "created": chatCompletionChunk.created, + "object": chatCompletionChunk.object, + "choices": [{"messages": []}], + "history_metadata": history_metadata, + "apim-request-id": apim_request_id, + } + + if len(chatCompletionChunk.choices) > 0: + delta = chatCompletionChunk.choices[0].delta + if delta: + if hasattr(delta, "context"): + messageObj = {"role": "tool", "content": json.dumps(delta.context)} + response_obj["choices"][0]["messages"].append(messageObj) + return response_obj + if delta.role == "assistant" and hasattr(delta, "context"): + messageObj = { + "role": "assistant", + "context": delta.context, + } + response_obj["choices"][0]["messages"].append(messageObj) + return response_obj + else: + if delta.content: + messageObj = { + "role": "assistant", + "content": delta.content, + } + response_obj["choices"][0]["messages"].append(messageObj) + return response_obj + + return {} + + +def format_pf_non_streaming_response( + chatCompletion, history_metadata, response_field_name, citations_field_name, message_uuid=None +): + if chatCompletion is None: + logging.error( + "chatCompletion object is None - Increase PROMPTFLOW_RESPONSE_TIMEOUT parameter" + ) + return { + "error": "No response received from promptflow endpoint increase PROMPTFLOW_RESPONSE_TIMEOUT parameter or check the promptflow endpoint." + } + if "error" in chatCompletion: + logging.error(f"Error in promptflow response api: {chatCompletion['error']}") + return {"error": chatCompletion["error"]} + + logging.debug(f"chatCompletion: {chatCompletion}") + try: + messages = [] + if response_field_name in chatCompletion: + messages.append({ + "role": "assistant", + "content": chatCompletion[response_field_name] + }) + if citations_field_name in chatCompletion: + messages.append({ + "role": "tool", + "content": chatCompletion[citations_field_name] + }) + response_obj = { + "id": chatCompletion["id"], + "model": "", + "created": "", + "object": "", + "choices": [ + { + "messages": messages, + "history_metadata": history_metadata, + } + ] + } + return response_obj + except Exception as e: + logging.error(f"Exception in format_pf_non_streaming_response: {e}") + return {} + + +def convert_to_pf_format(input_json, request_field_name, response_field_name): + output_json = [] + logging.debug(f"Input json: {input_json}") + # align the input json to the format expected by promptflow chat flow + for message in input_json["messages"]: + if message: + if message["role"] == "user": + new_obj = { + "inputs": {request_field_name: message["content"]}, + "outputs": {response_field_name: ""}, + } + output_json.append(new_obj) + elif message["role"] == "assistant" and len(output_json) > 0: + output_json[-1]["outputs"][response_field_name] = message["content"] + logging.debug(f"PF formatted response: {output_json}") + return output_json + + +def comma_separated_string_to_list(s: str) -> List[str]: + ''' + Split comma-separated values into a list. + ''' + return s.strip().replace(' ', '').split(',') + diff --git a/frontend/.eslintignore b/frontend/.eslintignore new file mode 100644 index 00000000..f47b5ce4 --- /dev/null +++ b/frontend/.eslintignore @@ -0,0 +1,4 @@ +node_modules +public +build +dist \ No newline at end of file diff --git a/frontend/.eslintrc.json b/frontend/.eslintrc.json new file mode 100644 index 00000000..a333881f --- /dev/null +++ b/frontend/.eslintrc.json @@ -0,0 +1,94 @@ +{ + "root": true, + "parser": "@typescript-eslint/parser", + "extends": [ + "eslint:recommended", + "plugin:@typescript-eslint/eslint-recommended", + "plugin:@typescript-eslint/recommended", + "plugin:react/jsx-runtime", + "plugin:react-hooks/recommended", + "plugin:jsx-a11y/recommended", + "prettier" + ], + "plugins": ["@typescript-eslint", "import", "simple-import-sort", "prettier"], + "env": { + "browser": true, + "jest": true + }, + "rules": { + // "prettier/prettier": "error", + "prettier/prettier": [ + "error", + {}, + { + "usePrettierrc": false + } + ], + "quote-props": [2, "as-needed"], + "comma-dangle": "error", + "no-console": ["warn", { "allow": ["warn", "error"] }], + "no-debugger": "error", + "react/prop-types": 0, + "import/no-extraneous-dependencies": ["error", { "devDependencies": true }], + "object-curly-newline": [ + "error", + { + "ObjectExpression": "always", + "ObjectPattern": { "multiline": "as-needed" }, + "ImportDeclaration": "never", + "ExportDeclaration": { "multiline": true, "minProperties": 3 } + } + ], + "object-curly-spacing": ["error", "as-needed", { "objectsInObjects": true }], + "no-underscore-dangle": 0, + "jsx-a11y/click-events-have-key-events": 0, + "jsx-a11y/anchor-is-valid": 0, + "no-await-in-loop": 0, + "no-unused-expressions": ["error", { "allowShortCircuit": true, "allowTernary": true }], + "arrow-parens": ["error", "as-needed"], + "no-unused-vars": "off", // Turn off the base rule and use @typescript-eslint/no-unused-vars + "@typescript-eslint/no-unused-vars": [ + "error", + { + "argsIgnorePattern": "^_", + "varsIgnorePattern": "^_", + "ignoreRestSiblings": true, + "args": "after-used" + } + ], + "import/prefer-default-export": 0, + "react/no-find-dom-node": 0, + "no-shadow": 0, + "max-len": 0, + "consistent-return": 0, + "no-plusplus": 0, + "spaced-comment": 0, + "react/react-in-jsx-scope": 0, + "react/jsx-filename-extension": 0, + "indent": ["error", 2], + "react/jsx-indent": ["error", 2], + "react/jsx-indent-props": ["error", 2], + "@typescript-eslint/no-explicit-any": "warn", + "simple-import-sort/exports": "error", + "simple-import-sort/imports": [ + "error", + { + "groups": [ + // Packages `react` related packages come first. + ["^react", "^@?\\w"], + // Internal packages. + ["^(@|components)(/.*|$)"], + // Side effect imports. + ["^\\u0000"], + // Parent imports. Put `..` last. + ["^\\.\\.(?!/?$)", "^\\.\\./?$"], + // Other relative imports. Put same-folder imports and `.` last. + ["^\\./(?=.*/)(?!/?$)", "^\\.(?!/?$)", "^\\./?$"], + // Style imports. + ["^.+\\.?(css)$"] + ] + } + ] + }, + "ignorePatterns": ["node_modules/", "build/", "dist/", "public/", "*.config.ts"] +} diff --git a/frontend/.prettierignore b/frontend/.prettierignore new file mode 100644 index 00000000..f47b5ce4 --- /dev/null +++ b/frontend/.prettierignore @@ -0,0 +1,4 @@ +node_modules +public +build +dist \ No newline at end of file diff --git a/frontend/.prettierrc.json b/frontend/.prettierrc.json new file mode 100644 index 00000000..82539ed5 --- /dev/null +++ b/frontend/.prettierrc.json @@ -0,0 +1,13 @@ +{ + "semi": false, + "singleQuote": true, + "arrowParens": "avoid", + "trailingComma": "none", + "endOfLine": "auto", + "tabWidth": 2, + "printWidth": 120, + "bracketSpacing": true, + "bracketSameLine": true, + "jsxSingleQuote": false, + "quoteProps": "as-needed" +} \ No newline at end of file diff --git a/frontend/eslint.config.ts b/frontend/eslint.config.ts new file mode 100644 index 00000000..fc9af6ae --- /dev/null +++ b/frontend/eslint.config.ts @@ -0,0 +1,20 @@ +import globals from 'globals' +import pluginReactConfig from 'eslint-plugin-react/configs/recommended.js' +import eslintConfigPrettier from 'eslint-config-prettier' + +import path from 'path' +import { fileURLToPath } from 'url' +import { FlatCompat } from '@eslint/eslintrc' +import pluginJs from '@eslint/js' + +// mimic CommonJS variables -- not needed if using CommonJS +const __filename = fileURLToPath(import.meta.url) +const __dirname = path.dirname(__filename) +const compat = new FlatCompat({ baseDirectory: __dirname, recommendedConfig: pluginJs.configs.recommended }) + +export default [ + { languageOptions: { globals: globals.browser } }, + ...compat.extends('standard-with-typescript'), + pluginReactConfig, + eslintConfigPrettier +] diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 00000000..c99a108a --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + {{ title }} + + +
+ + + diff --git a/frontend/jest.config.ts b/frontend/jest.config.ts new file mode 100644 index 00000000..956deb7d --- /dev/null +++ b/frontend/jest.config.ts @@ -0,0 +1,11 @@ +import type { Config } from '@jest/types' + +const config: Config.InitialOptions = { + verbose: true, + transform: { + '^.+\\.tsx?$': 'ts-jest' + }, + setupFilesAfterEnv: ['/polyfills.js'] +} + +export default config diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 00000000..e34b32cb --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,27027 @@ +{ + "name": "frontend", + "version": "0.0.0", + "lockfileVersion": 2, + "requires": true, + "packages": { + "": { + "name": "frontend", + "version": "0.0.0", + "dependencies": { + "@fluentui/react": "^8.105.3", + "@fluentui/react-components": "^9.54.2", + "@fluentui/react-hooks": "^8.6.29", + "@fluentui/react-icons": "^2.0.247", + "dompurify": "^3.0.8", + "lodash": "^4.17.21", + "lodash-es": "^4.17.21", + "plotly.js": 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conversationApi(options: ConversationRequest, abortSignal: AbortSignal): Promise { + const response = await fetch('/conversation', { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: JSON.stringify({ + messages: options.messages + }), + signal: abortSignal + }) + + return response +} + +export async function getUserInfo(): Promise { + const response = await fetch('/.auth/me') + if (!response.ok) { + console.log('No identity provider found. Access to chat will be blocked.') + return [] + } + + const payload = await response.json() + return payload +} + +// export const fetchChatHistoryInit = async (): Promise => { +export const fetchChatHistoryInit = (): Conversation[] | null => { + // Make initial API call here + + return chatHistorySampleData +} + +export const historyList = async (offset = 0): Promise => { + const response = await fetch(`/history/list?offset=${offset}`, { + method: 'GET' + }) + .then(async res => { + const payload = await res.json() + if (!Array.isArray(payload)) { + console.error('There was an issue fetching your data.') + return null + } + const conversations: Conversation[] = await Promise.all( + payload.map(async (conv: any) => { + let convMessages: ChatMessage[] = [] + convMessages = await historyRead(conv.id) + .then(res => { + return res + }) + .catch(err => { + console.error('error fetching messages: ', err) + return [] + }) + const conversation: Conversation = { + id: conv.id, + title: conv.title, + date: conv.createdAt, + messages: convMessages + } + return conversation + }) + ) + return conversations + }) + .catch(_err => { + console.error('There was an issue fetching your data.') + return null + }) + + return response +} + +export const historyRead = async (convId: string): Promise => { + const response = await fetch('/history/read', { + method: 'POST', + body: JSON.stringify({ + conversation_id: convId + }), + headers: { + 'Content-Type': 'application/json' + } + }) + .then(async res => { + if (!res) { + return [] + } + const payload = await res.json() + const messages: ChatMessage[] = [] + if (payload?.messages) { + payload.messages.forEach((msg: any) => { + const message: ChatMessage = { + id: msg.id, + role: msg.role, + date: msg.createdAt, + content: msg.content, + feedback: msg.feedback ?? undefined + } + messages.push(message) + }) + } + return messages + }) + .catch(_err => { + console.error('There was an issue fetching your data.') + return [] + }) + return response +} + +export const historyGenerate = async ( + options: ConversationRequest, + abortSignal: AbortSignal, + convId?: string +): Promise => { + let body + if (convId) { + body = JSON.stringify({ + conversation_id: convId, + messages: options.messages + }) + } else { + body = JSON.stringify({ + messages: options.messages + }) + } + const response = await fetch('/history/generate', { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: body, + signal: abortSignal + }) + .then(res => { + return res + }) + .catch(_err => { + console.error('There was an issue fetching your data.') + return new Response() + }) + return response +} + +export const historyUpdate = async (messages: ChatMessage[], convId: string): Promise => { + const response = await fetch('/history/update', { + method: 'POST', + body: JSON.stringify({ + conversation_id: convId, + messages: messages + }), + headers: { + 'Content-Type': 'application/json' + } + }) + .then(async res => { + return res + }) + .catch(_err => { + console.error('There was an issue fetching your data.') + const errRes: Response = { + ...new Response(), + ok: false, + status: 500 + } + return errRes + }) + return response +} + +export const historyDelete = async (convId: string): Promise => { + const response = await fetch('/history/delete', { + method: 'DELETE', + body: JSON.stringify({ + conversation_id: convId + }), + headers: { + 'Content-Type': 'application/json' + } + }) + .then(res => { + return res + }) + .catch(_err => { + console.error('There was an issue fetching your data.') + const errRes: Response = { + ...new Response(), + ok: false, + status: 500 + } + return errRes + }) + return response +} + +export const historyDeleteAll = async (): Promise => { + const response = await fetch('/history/delete_all', { + method: 'DELETE', + body: JSON.stringify({}), + headers: { + 'Content-Type': 'application/json' + } + }) + .then(res => { + return res + }) + .catch(_err => { + console.error('There was an issue fetching your data.') + const errRes: Response = { + ...new Response(), + ok: false, + status: 500 + } + return errRes + }) + return response +} + +export const historyClear = async (convId: string): Promise => { + const response = await fetch('/history/clear', { + method: 'POST', + body: JSON.stringify({ + conversation_id: convId + }), + headers: { + 'Content-Type': 'application/json' + } + }) + .then(res => { + return res + }) + .catch(_err => { + console.error('There was an issue fetching your data.') + const errRes: Response = { + ...new Response(), + ok: false, + status: 500 + } + return errRes + }) + return response +} + +export const historyRename = async (convId: string, title: string): Promise => { + const response = await fetch('/history/rename', { + method: 'POST', + body: JSON.stringify({ + conversation_id: convId, + title: title + }), + headers: { + 'Content-Type': 'application/json' + } + }) + .then(res => { + return res + }) + .catch(_err => { + console.error('There was an issue fetching your data.') + const errRes: Response = { + ...new Response(), + ok: false, + status: 500 + } + return errRes + }) + return response +} + +export const historyEnsure = async (): Promise => { + const response = await fetch('/history/ensure', { + method: 'GET' + }) + .then(async res => { + const respJson = await res.json() + let formattedResponse + if (respJson.message) { + formattedResponse = CosmosDBStatus.Working + } else { + if (res.status === 500) { + formattedResponse = CosmosDBStatus.NotWorking + } else if (res.status === 401) { + formattedResponse = CosmosDBStatus.InvalidCredentials + } else if (res.status === 422) { + formattedResponse = respJson.error + } else { + formattedResponse = CosmosDBStatus.NotConfigured + } + } + if (!res.ok) { + return { + cosmosDB: false, + status: formattedResponse + } + } else { + return { + cosmosDB: true, + status: formattedResponse + } + } + }) + .catch(err => { + console.error('There was an issue fetching your data.') + return { + cosmosDB: false, + status: err + } + }) + return response +} + +export const frontendSettings = async (): Promise => { + const response = await fetch('/frontend_settings', { + method: 'GET' + }) + .then(res => { + return res.json() + }) + .catch(_err => { + console.error('There was an issue fetching your data.') + return null + }) + + return response +} +export const historyMessageFeedback = async (messageId: string, feedback: string): Promise => { + const response = await fetch('/history/message_feedback', { + method: 'POST', + body: JSON.stringify({ + message_id: messageId, + message_feedback: feedback + }), + headers: { + 'Content-Type': 'application/json' + } + }) + .then(res => { + return res + }) + .catch(_err => { + console.error('There was an issue logging feedback.') + const errRes: Response = { + ...new Response(), + ok: false, + status: 500 + } + return errRes + }) + return response +} + +export const sectionGenerate = async ( + options: SectionGenerateRequest, +): Promise => { + // set timeout to 10 seconds + const abortController = new AbortController() + const abortSignal = abortController.signal + + const timeout = setTimeout(() => { + abortController.abort() + }, 10000) + + let body = JSON.stringify({ + sectionTitle: options.sectionTitle, + sectionDescription: options.sectionDescription, + }) + + const response = await fetch('/section/generate', { + method: 'POST', + headers: { + 'Content-Type': 'application/json' + }, + body: body, + signal: abortSignal + }) + .then(res => { + clearTimeout(timeout) + return res + }) + .catch(_err => { + clearTimeout(timeout) + console.error('There was an issue fetching your data.') + return new Response() + }) + + return response +} \ No newline at end of file diff --git a/frontend/src/api/index.ts b/frontend/src/api/index.ts new file mode 100644 index 00000000..ec10836e --- /dev/null +++ b/frontend/src/api/index.ts @@ -0,0 +1,2 @@ +export * from './api' +export * from './models' diff --git a/frontend/src/api/models.ts b/frontend/src/api/models.ts new file mode 100644 index 00000000..c7d261dd --- /dev/null +++ b/frontend/src/api/models.ts @@ -0,0 +1,179 @@ +import Plotly from 'react-plotly.js' + +export type AskResponse = { + answer: string + citations: Citation[] + plotly_data: AzureSqlServerCodeExecResult | null + error?: string + message_id?: string + feedback?: Feedback + exec_results?: ExecResults[] +} + +export type Citation = { + part_index?: number + content: string + id: string + title: string | null + filepath: string | null + url: string | null + metadata: string | null + chunk_id: string | null + reindex_id: string | null +} + +export type ToolMessageContent = { + citations: Citation[] + intent: string +} + +export type AzureSqlServerCodeExecResult = { + data: Plotly.Data[] + layout: Partial +} + +export type AzureSqlServerExecResult = { + intent: string + search_query: string | null + search_result: string | null + code_generated: string | null + code_exec_result?: AzureSqlServerCodeExecResult | undefined +} + +export type AzureSqlServerExecResults = { + all_exec_results: AzureSqlServerExecResult[] +} + +export type ChatMessage = { + id: string + role: string + content: string + end_turn?: boolean + date: string + feedback?: Feedback + context?: string +} + +export type ExecResults = { + intent: string + search_query: string | null + search_result: string | null + code_generated: string | null +} + +export type Conversation = { + id: string + title: string + messages: ChatMessage[] + date: string +} + +export enum ChatCompletionType { + ChatCompletion = 'chat.completion', + ChatCompletionChunk = 'chat.completion.chunk' +} + +export type ChatResponseChoice = { + messages: ChatMessage[] +} + +export type ChatResponse = { + id: string + model: string + created: number + object: ChatCompletionType + choices: ChatResponseChoice[] + history_metadata: { + conversation_id: string + title: string + date: string + } + error?: any +} + +export type ConversationRequest = { + messages: ChatMessage[] +} + +export type Section = { + title: string + content: string + description: string +} + +export type DraftedDocument = { + title: string + sections: Section[] +} + +export type SectionGenerateRequest = { + sectionTitle: string, + sectionDescription: string +} + +export type UserInfo = { + access_token: string + expires_on: string + id_token: string + provider_name: string + user_claims: any[] + user_id: string +} + +export enum CosmosDBStatus { + NotConfigured = 'CosmosDB is not configured', + NotWorking = 'CosmosDB is not working', + InvalidCredentials = 'CosmosDB has invalid credentials', + InvalidDatabase = 'Invalid CosmosDB database name', + InvalidContainer = 'Invalid CosmosDB container name', + Working = 'CosmosDB is configured and working' +} + +export type CosmosDBHealth = { + cosmosDB: boolean + status: string +} + +export enum ChatHistoryLoadingState { + Loading = 'loading', + Success = 'success', + Fail = 'fail', + NotStarted = 'notStarted' +} + +export type ErrorMessage = { + title: string + subtitle: string +} + +export type UI = { + title: string + chat_title: string + chat_description: string + logo?: string + chat_logo?: string + show_share_button?: boolean +} + +export type FrontendSettings = { + auth_enabled?: string | null + feedback_enabled?: string | null + ui?: UI + sanitize_answer?: boolean +} + +export enum Feedback { + Neutral = 'neutral', + Positive = 'positive', + Negative = 'negative', + MissingCitation = 'missing_citation', + WrongCitation = 'wrong_citation', + OutOfScope = 'out_of_scope', + InaccurateOrIrrelevant = 'inaccurate_or_irrelevant', + OtherUnhelpful = 'other_unhelpful', + HateSpeech = 'hate_speech', + Violent = 'violent', + Sexual = 'sexual', + Manipulative = 'manipulative', + OtherHarmful = 'other_harmlful' +} diff --git a/frontend/src/assets/Azure.svg b/frontend/src/assets/Azure.svg new file mode 100644 index 00000000..da2673da --- /dev/null +++ b/frontend/src/assets/Azure.svg @@ -0,0 +1,23 @@ + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/src/assets/ClearChat.svg b/frontend/src/assets/ClearChat.svg new file mode 100644 index 00000000..d35c4157 --- /dev/null +++ b/frontend/src/assets/ClearChat.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/frontend/src/assets/Contoso.svg b/frontend/src/assets/Contoso.svg new file mode 100644 index 00000000..b72cf30b --- /dev/null +++ b/frontend/src/assets/Contoso.svg @@ -0,0 +1,25 @@ + + + + + + + + diff --git a/frontend/src/assets/Generate.svg b/frontend/src/assets/Generate.svg new file mode 100644 index 00000000..5d74450d --- /dev/null +++ b/frontend/src/assets/Generate.svg @@ -0,0 +1,3 @@ + + + \ No newline at end of file diff --git a/frontend/src/assets/Send.svg b/frontend/src/assets/Send.svg new file mode 100644 index 00000000..214d2ef7 --- /dev/null +++ b/frontend/src/assets/Send.svg @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/frontend/src/components/Answer/Answer.module.css b/frontend/src/components/Answer/Answer.module.css new file mode 100644 index 00000000..ad04c51d --- /dev/null +++ b/frontend/src/components/Answer/Answer.module.css @@ -0,0 +1,203 @@ +.answerContainer { + display: flex; + flex-direction: column; + align-items: flex-start; + padding: 8.1285px; + gap: 5.42px; + background: #ffffff; + box-shadow: + 0px 1px 2px rgba(0, 0, 0, 0.14), + 0px 0px 2px rgba(0, 0, 0, 0.12); + border-radius: 5.419px; +} + +.answerText { + font-style: normal; + font-weight: 400; + font-size: 14px; + line-height: 20px; + color: #323130; + flex: none; + order: 1; + align-self: stretch; + flex-grow: 0; + margin: 11px; + white-space: normal; + word-wrap: break-word; + max-width: 800px; + overflow-x: auto; +} + +.answerHeader { + position: relative; +} + +.answerFooter { + display: flex; + flex-flow: row nowrap; + width: 100%; + height: auto; + box-sizing: border-box; + justify-content: space-between; +} + +.answerDisclaimerContainer { + justify-content: center; + display: flex; +} + +.answerDisclaimer { + font-style: normal; + font-weight: 400; + font-size: 12px; + line-height: 16px; + + display: flex; + align-items: center; + text-align: center; + color: #707070; + flex: none; + order: 1; + flex-grow: 0; +} + +.citationWrapper { + margin-top: 8; + display: flex; + flex-flow: wrap column; + max-height: 150px; + gap: 4px; +} + +.citationContainer { + margin-left: 10px; + font-style: normal; + font-weight: 600; + font-size: 12px; + line-height: 16px; + + color: #115ea3; + display: flex; + flex-direction: row; + align-items: center; + padding: 4px 6px; + gap: 4px; + border: 1px solid #d1d1d1; + border-radius: 4px; +} + +.citationContainer:hover { + text-decoration: underline; + cursor: pointer; +} + +.citation { + box-sizing: border-box; + display: inline-flex; + flex-direction: column; + justify-content: center; + align-items: center; + padding: 0px; + width: 14px; + height: 14px; + border: 1px solid #e0e0e0; + border-radius: 4px; + flex: none; + flex-grow: 0; + z-index: 2; + font-style: normal; + font-weight: 600; + font-size: 10px; + line-height: 14px; + text-align: center; + color: #424242; + cursor: pointer; +} + +.citation:hover { + text-decoration: underline; + cursor: pointer; +} + +.accordionIcon { + display: inline-flex; + flex-direction: row; + justify-content: center; + align-items: center; + padding: 0px; + margin-top: 4px; + color: #616161; + font-size: 10px; +} + +.accordionIcon:hover { + cursor: pointer; +} + +.accordionTitle { + margin-right: 5px; + margin-left: 10px; + font-style: normal; + font-weight: 400; + font-size: 12px; + line-height: 16px; + display: flex; + align-items: center; + color: #616161; +} + +.accordionTitle:hover { + cursor: pointer; +} + +.clickableSup { + box-sizing: border-box; + display: inline-flex; + flex-direction: column; + justify-content: center; + align-items: center; + padding: 0px; + width: 14px; + height: 14px; + border: 1px solid #e0e0e0; + border-radius: 4px; + flex: none; + order: 2; + flex-grow: 0; + z-index: 2; + font-style: normal; + font-weight: 600; + font-size: 10px; + line-height: 14px; + text-align: center; + color: #424242; + cursor: pointer; +} + +.clickableSup:hover { + text-decoration: underline; + cursor: pointer; +} + +sup { + font-size: 10px; + line-height: 10px; +} + +@media (max-width: 480px) { + .answerFooter { + flex-direction: column-reverse; + } + + .citationWrapper { + max-height: max-content; + } + + .citationContainer { + margin-left: 0; + } + + .answerDisclaimer { + margin-bottom: 5px; + } +} diff --git a/frontend/src/components/Answer/Answer.tsx b/frontend/src/components/Answer/Answer.tsx new file mode 100644 index 00000000..877145a7 --- /dev/null +++ b/frontend/src/components/Answer/Answer.tsx @@ -0,0 +1,415 @@ +import { FormEvent, useContext, useEffect, useMemo, useState } from 'react' +import ReactMarkdown from 'react-markdown' +import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter' +import { nord } from 'react-syntax-highlighter/dist/esm/styles/prism' +import { Checkbox, DefaultButton, Dialog, FontIcon, Stack, Text } from '@fluentui/react' +import { useBoolean } from '@fluentui/react-hooks' +import { ThumbDislike20Filled, ThumbLike20Filled } from '@fluentui/react-icons' +import DOMPurify from 'dompurify' +import remarkGfm from 'remark-gfm' +import supersub from 'remark-supersub' +import Plot from 'react-plotly.js' +import { AskResponse, Citation, Feedback, historyMessageFeedback } from '../../api' +import { XSSAllowTags } from '../../constants/xssAllowTags' +import { AppStateContext } from '../../state/AppProvider' + +import { parseAnswer } from './AnswerParser' + +import styles from './Answer.module.css' + +interface Props { + answer: AskResponse + onCitationClicked: (citedDocument: Citation) => void + onExectResultClicked: () => void +} + +export const Answer = ({ answer, onCitationClicked, onExectResultClicked }: Props) => { + const initializeAnswerFeedback = (answer: AskResponse) => { + if (answer.message_id == undefined) return undefined + if (answer.feedback == undefined) return undefined + if (answer.feedback.split(',').length > 1) return Feedback.Negative + if (Object.values(Feedback).includes(answer.feedback)) return answer.feedback + return Feedback.Neutral + } + + const [isRefAccordionOpen, { toggle: toggleIsRefAccordionOpen }] = useBoolean(false) + const filePathTruncationLimit = 50 + + const parsedAnswer = useMemo(() => parseAnswer(answer), [answer]) + const [chevronIsExpanded, setChevronIsExpanded] = useState(isRefAccordionOpen) + const [feedbackState, setFeedbackState] = useState(initializeAnswerFeedback(answer)) + const [isFeedbackDialogOpen, setIsFeedbackDialogOpen] = useState(false) + const [showReportInappropriateFeedback, setShowReportInappropriateFeedback] = useState(false) + const [negativeFeedbackList, setNegativeFeedbackList] = useState([]) + const appStateContext = useContext(AppStateContext) + const FEEDBACK_ENABLED = + appStateContext?.state.frontendSettings?.feedback_enabled && appStateContext?.state.isCosmosDBAvailable?.cosmosDB + const SANITIZE_ANSWER = appStateContext?.state.frontendSettings?.sanitize_answer + + const handleChevronClick = () => { + setChevronIsExpanded(!chevronIsExpanded) + toggleIsRefAccordionOpen() + } + + useEffect(() => { + setChevronIsExpanded(isRefAccordionOpen) + }, [isRefAccordionOpen]) + + useEffect(() => { + if (answer.message_id == undefined) return + + let currentFeedbackState + if (appStateContext?.state.feedbackState && appStateContext?.state.feedbackState[answer.message_id]) { + currentFeedbackState = appStateContext?.state.feedbackState[answer.message_id] + } else { + currentFeedbackState = initializeAnswerFeedback(answer) + } + setFeedbackState(currentFeedbackState) + }, [appStateContext?.state.feedbackState, feedbackState, answer.message_id]) + + const createCitationFilepath = (citation: Citation, index: number, truncate: boolean = false) => { + let citationFilename = '' + + if (citation.filepath) { + const part_i = citation.part_index ?? (citation.chunk_id ? parseInt(citation.chunk_id) + 1 : '') + if (truncate && citation.filepath.length > filePathTruncationLimit) { + const citationLength = citation.filepath.length + citationFilename = `${citation.filepath.substring(0, 20)}...${citation.filepath.substring(citationLength - 20)} - Part ${part_i}` + } else { + citationFilename = `${citation.filepath} - Part ${part_i}` + } + } else if (citation.filepath && citation.reindex_id) { + citationFilename = `${citation.filepath} - Part ${citation.reindex_id}` + } else { + citationFilename = `Citation ${index}` + } + return citationFilename + } + + const onLikeResponseClicked = async () => { + if (answer.message_id == undefined) return + + let newFeedbackState = feedbackState + // Set or unset the thumbs up state + if (feedbackState == Feedback.Positive) { + newFeedbackState = Feedback.Neutral + } else { + newFeedbackState = Feedback.Positive + } + appStateContext?.dispatch({ + type: 'SET_FEEDBACK_STATE', + payload: { answerId: answer.message_id, feedback: newFeedbackState } + }) + setFeedbackState(newFeedbackState) + + // Update message feedback in db + await historyMessageFeedback(answer.message_id, newFeedbackState) + } + + const onDislikeResponseClicked = async () => { + if (answer.message_id == undefined) return + + let newFeedbackState = feedbackState + if (feedbackState === undefined || feedbackState === Feedback.Neutral || feedbackState === Feedback.Positive) { + newFeedbackState = Feedback.Negative + setFeedbackState(newFeedbackState) + setIsFeedbackDialogOpen(true) + } else { + // Reset negative feedback to neutral + newFeedbackState = Feedback.Neutral + setFeedbackState(newFeedbackState) + await historyMessageFeedback(answer.message_id, Feedback.Neutral) + } + appStateContext?.dispatch({ + type: 'SET_FEEDBACK_STATE', + payload: { answerId: answer.message_id, feedback: newFeedbackState } + }) + } + + const updateFeedbackList = (ev?: FormEvent, checked?: boolean) => { + if (answer.message_id == undefined) return + const selectedFeedback = (ev?.target as HTMLInputElement)?.id as Feedback + + let feedbackList = negativeFeedbackList.slice() + if (checked) { + feedbackList.push(selectedFeedback) + } else { + feedbackList = feedbackList.filter(f => f !== selectedFeedback) + } + + setNegativeFeedbackList(feedbackList) + } + + const onSubmitNegativeFeedback = async () => { + if (answer.message_id == undefined) return + await historyMessageFeedback(answer.message_id, negativeFeedbackList.join(',')) + resetFeedbackDialog() + } + + const resetFeedbackDialog = () => { + setIsFeedbackDialogOpen(false) + setShowReportInappropriateFeedback(false) + setNegativeFeedbackList([]) + } + + const UnhelpfulFeedbackContent = () => { + return ( + <> +
Why wasn't this response helpful?
+ + + + + + + +
setShowReportInappropriateFeedback(true)} style={{ color: '#115EA3', cursor: 'pointer' }}> + Report inappropriate content +
+ + ) + } + + const ReportInappropriateFeedbackContent = () => { + return ( + <> +
+ The content is * +
+ + + + + + + + + ) + } + + const components = { + code({ node, ...props }: { node: any;[key: string]: any }) { + let language + if (props.className) { + const match = props.className.match(/language-(\w+)/) + language = match ? match[1] : undefined + } + const codeString = node.children[0].value ?? '' + return ( + + {codeString} + + ) + } + } + return ( + <> + + + + + + + + {FEEDBACK_ENABLED && answer.message_id !== undefined && ( + + onLikeResponseClicked()} + style={ + feedbackState === Feedback.Positive || + appStateContext?.state.feedbackState[answer.message_id] === Feedback.Positive + ? { color: 'darkgreen', cursor: 'pointer' } + : { color: 'slategray', cursor: 'pointer' } + } + /> + onDislikeResponseClicked()} + style={ + feedbackState !== Feedback.Positive && + feedbackState !== Feedback.Neutral && + feedbackState !== undefined + ? { color: 'darkred', cursor: 'pointer' } + : { color: 'slategray', cursor: 'pointer' } + } + /> + + )} + + + + {parsedAnswer.plotly_data !== null && ( + + + + + + )} + + {!!parsedAnswer.citations.length && ( + (e.key === 'Enter' || e.key === ' ' ? toggleIsRefAccordionOpen() : null)}> + + + + + {parsedAnswer.citations.length > 1 + ? parsedAnswer.citations.length + ' references' + : '1 reference'} + + + + + + + )} + + AI-generated content may be incorrect + + {!!answer.exec_results?.length && ( + (e.key === 'Enter' || e.key === ' ' ? toggleIsRefAccordionOpen() : null)}> + + + onExectResultClicked()} + aria-label="Open Intents" + tabIndex={0} + role="button"> + + Show Intents + + + + + + + )} + + {chevronIsExpanded && ( +
+ {parsedAnswer.citations.map((citation, idx) => { + return ( + onCitationClicked(citation)} + onKeyDown={e => (e.key === 'Enter' || e.key === ' ' ? onCitationClicked(citation) : null)} + className={styles.citationContainer} + aria-label={createCitationFilepath(citation, idx)}> +
{idx}
+ {createCitationFilepath(citation, idx, true)} + + ) + })} +
+ )} + + { + resetFeedbackDialog() + setFeedbackState(Feedback.Neutral) + }} + hidden={!isFeedbackDialogOpen} + styles={{ + main: [ + { + selectors: { + ['@media (min-width: 480px)']: { + maxWidth: '600px', + background: '#FFFFFF', + boxShadow: '0px 14px 28.8px rgba(0, 0, 0, 0.24), 0px 0px 8px rgba(0, 0, 0, 0.2)', + borderRadius: '8px', + maxHeight: '600px', + minHeight: '100px' + } + } + } + ] + }} + dialogContentProps={{ + title: 'Submit Feedback', + showCloseButton: true + }}> + +
Your feedback will improve this experience.
+ + {!showReportInappropriateFeedback ? : } + +
By pressing submit, your feedback will be visible to the application owner.
+ + + Submit + + + + + ) +} diff --git a/frontend/src/components/Answer/AnswerParser.test.ts b/frontend/src/components/Answer/AnswerParser.test.ts new file mode 100644 index 00000000..0d2ab118 --- /dev/null +++ b/frontend/src/components/Answer/AnswerParser.test.ts @@ -0,0 +1,70 @@ +import { cloneDeep } from 'lodash' + +import { AskResponse, Citation } from '../../api' // Ensure this path matches the location of your types + +import { enumerateCitations, parseAnswer, ParsedAnswer } from './AnswerParser' // Update the path accordingly + +const sampleCitations: Citation[] = [ + { + id: 'doc1', + filepath: 'file1.pdf', + part_index: undefined, + content: '', + title: null, + url: null, + metadata: null, + chunk_id: null, + reindex_id: null + }, + { + id: 'doc2', + filepath: 'file1.pdf', + part_index: undefined, + content: '', + title: null, + url: null, + metadata: null, + chunk_id: null, + reindex_id: null + }, + { + id: 'doc3', + filepath: 'file2.pdf', + part_index: undefined, + content: '', + title: null, + url: null, + metadata: null, + chunk_id: null, + reindex_id: null + } +] + +const sampleAnswer: AskResponse = { + answer: 'This is an example answer with citations [doc1] and [doc2].', + citations: cloneDeep(sampleCitations), + plotly_data: null +} + +describe('enumerateCitations', () => { + it('assigns unique part_index based on filepath', () => { + const results = enumerateCitations(cloneDeep(sampleCitations)) + expect(results[0].part_index).toEqual(1) + expect(results[1].part_index).toEqual(2) + expect(results[2].part_index).toEqual(1) + }) +}) + +describe('parseAnswer', () => { + it('reformats the answer text and reindexes citations', () => { + const parsed: ParsedAnswer = parseAnswer(sampleAnswer) + expect(parsed.markdownFormatText).toBe('This is an example answer with citations ^1^ and ^2^ .') + expect(parsed.citations.length).toBe(2) + expect(parsed.citations[0].id).toBe('1') + expect(parsed.citations[0].reindex_id).toBe('1') + expect(parsed.citations[1].id).toBe('2') + expect(parsed.citations[1].reindex_id).toBe('2') + expect(parsed.citations[0].part_index).toBe(1) + expect(parsed.citations[1].part_index).toBe(2) + }) +}) diff --git a/frontend/src/components/Answer/AnswerParser.tsx b/frontend/src/components/Answer/AnswerParser.tsx new file mode 100644 index 00000000..df323841 --- /dev/null +++ b/frontend/src/components/Answer/AnswerParser.tsx @@ -0,0 +1,52 @@ +import { cloneDeep } from 'lodash' + +import { AskResponse, Citation, AzureSqlServerCodeExecResult } from '../../api' + +export type ParsedAnswer = { + citations: Citation[] + markdownFormatText: string, + plotly_data: AzureSqlServerCodeExecResult | null +} + +export const enumerateCitations = (citations: Citation[]) => { + const filepathMap = new Map() + for (const citation of citations) { + const { filepath } = citation + let part_i = 1 + if (filepathMap.has(filepath)) { + part_i = filepathMap.get(filepath) + 1 + } + filepathMap.set(filepath, part_i) + citation.part_index = part_i + } + return citations +} + +export function parseAnswer(answer: AskResponse): ParsedAnswer { + let answerText = answer.answer + const citationLinks = answerText.match(/\[(doc\d\d?\d?)]/g) + + const lengthDocN = '[doc'.length + + let filteredCitations = [] as Citation[] + let citationReindex = 0 + citationLinks?.forEach(link => { + // Replacing the links/citations with number + const citationIndex = link.slice(lengthDocN, link.length - 1) + const citation = cloneDeep(answer.citations[Number(citationIndex) - 1]) as Citation + if (!filteredCitations.find(c => c.id === citationIndex) && citation) { + answerText = answerText.replaceAll(link, ` ^${++citationReindex}^ `) + citation.id = citationIndex // original doc index to de-dupe + citation.reindex_id = citationReindex.toString() // reindex from 1 for display + filteredCitations.push(citation) + } + }) + + filteredCitations = enumerateCitations(filteredCitations) + + return { + citations: filteredCitations, + markdownFormatText: answerText, + plotly_data: answer.plotly_data + } +} diff --git a/frontend/src/components/Answer/index.ts b/frontend/src/components/Answer/index.ts new file mode 100644 index 00000000..25cc12b7 --- /dev/null +++ b/frontend/src/components/Answer/index.ts @@ -0,0 +1 @@ +export * from './Answer' diff --git a/frontend/src/components/ChatHistory/ChatHistoryList.tsx b/frontend/src/components/ChatHistory/ChatHistoryList.tsx new file mode 100644 index 00000000..763c6c64 --- /dev/null +++ b/frontend/src/components/ChatHistory/ChatHistoryList.tsx @@ -0,0 +1,86 @@ +import React, { useContext } from 'react' +import { Stack, StackItem, Text } from '@fluentui/react' + +import { Conversation } from '../../api/models' +import { AppStateContext } from '../../state/AppProvider' + +import { ChatHistoryListItemGroups } from './ChatHistoryListItem' + +interface ChatHistoryListProps {} + +export interface GroupedChatHistory { + month: string + entries: Conversation[] +} + +const groupByMonth = (entries: Conversation[]) => { + const groups: GroupedChatHistory[] = [{ month: 'Recent', entries: [] }] + const currentDate = new Date() + + entries.forEach(entry => { + const date = new Date(entry.date) + const daysDifference = (currentDate.getTime() - date.getTime()) / (1000 * 60 * 60 * 24) + const monthYear = date.toLocaleString('default', { month: 'long', year: 'numeric' }) + const existingGroup = groups.find(group => group.month === monthYear) + + if (daysDifference <= 7) { + groups[0].entries.push(entry) + } else { + if (existingGroup) { + existingGroup.entries.push(entry) + } else { + groups.push({ month: monthYear, entries: [entry] }) + } + } + }) + + groups.sort((a, b) => { + // Check if either group has no entries and handle it + if (a.entries.length === 0 && b.entries.length === 0) { + return 0 // No change in order + } else if (a.entries.length === 0) { + return 1 // Move 'a' to a higher index (bottom) + } else if (b.entries.length === 0) { + return -1 // Move 'b' to a higher index (bottom) + } + const dateA = new Date(a.entries[0].date) + const dateB = new Date(b.entries[0].date) + return dateB.getTime() - dateA.getTime() + }) + + groups.forEach(group => { + group.entries.sort((a, b) => { + const dateA = new Date(a.date) + const dateB = new Date(b.date) + return dateB.getTime() - dateA.getTime() + }) + }) + + return groups +} + +const ChatHistoryList: React.FC = () => { + const appStateContext = useContext(AppStateContext) + const chatHistory = appStateContext?.state.chatHistory + + React.useEffect(() => {}, [appStateContext?.state.chatHistory]) + + let groupedChatHistory + if (chatHistory && chatHistory.length > 0) { + groupedChatHistory = groupByMonth(chatHistory) + } else { + return ( + + + + No chat history. + + + + ) + } + + return +} + +export default ChatHistoryList diff --git a/frontend/src/components/ChatHistory/ChatHistoryListItem.tsx b/frontend/src/components/ChatHistory/ChatHistoryListItem.tsx new file mode 100644 index 00000000..6ee08128 --- /dev/null +++ b/frontend/src/components/ChatHistory/ChatHistoryListItem.tsx @@ -0,0 +1,395 @@ +import * as React from 'react' +import { useContext, useEffect, useRef, useState } from 'react' +import { + DefaultButton, + Dialog, + DialogFooter, + DialogType, + IconButton, + ITextField, + List, + PrimaryButton, + Separator, + Spinner, + SpinnerSize, + Stack, + Text, + TextField +} from '@fluentui/react' +import { useBoolean } from '@fluentui/react-hooks' + +import { historyDelete, historyList, historyRename } from '../../api' +import { Conversation } from '../../api/models' +import { AppStateContext } from '../../state/AppProvider' + +import { GroupedChatHistory } from './ChatHistoryList' + +import styles from './ChatHistoryPanel.module.css' + +interface ChatHistoryListItemCellProps { + item?: Conversation + onSelect: (item: Conversation | null) => void +} + +interface ChatHistoryListItemGroupsProps { + groupedChatHistory: GroupedChatHistory[] +} + +const formatMonth = (month: string) => { + const currentDate = new Date() + const currentYear = currentDate.getFullYear() + + const [monthName, yearString] = month.split(' ') + const year = parseInt(yearString) + + if (year === currentYear) { + return monthName + } else { + return month + } +} + +export const ChatHistoryListItemCell: React.FC = ({ item, onSelect }) => { + const [isHovered, setIsHovered] = React.useState(false) + const [edit, setEdit] = useState(false) + const [editTitle, setEditTitle] = useState('') + const [hideDeleteDialog, { toggle: toggleDeleteDialog }] = useBoolean(true) + const [errorDelete, setErrorDelete] = useState(false) + const [renameLoading, setRenameLoading] = useState(false) + const [errorRename, setErrorRename] = useState(undefined) + const [textFieldFocused, setTextFieldFocused] = useState(false) + const textFieldRef = useRef(null) + + const appStateContext = React.useContext(AppStateContext) + const isSelected = item?.id === appStateContext?.state.currentChat?.id + const dialogContentProps = { + type: DialogType.close, + title: 'Are you sure you want to delete this item?', + closeButtonAriaLabel: 'Close', + subText: 'The history of this chat session will permanently removed.' + } + + const modalProps = { + titleAriaId: 'labelId', + subtitleAriaId: 'subTextId', + isBlocking: true, + styles: { main: { maxWidth: 450 } } + } + + if (!item) { + return null + } + + useEffect(() => { + if (textFieldFocused && textFieldRef.current) { + textFieldRef.current.focus() + setTextFieldFocused(false) + } + }, [textFieldFocused]) + + useEffect(() => { + if (appStateContext?.state.currentChat?.id !== item?.id) { + setEdit(false) + setEditTitle('') + } + }, [appStateContext?.state.currentChat?.id, item?.id]) + + const onDelete = async () => { + const response = await historyDelete(item.id) + if (!response.ok) { + setErrorDelete(true) + setTimeout(() => { + setErrorDelete(false) + }, 5000) + } else { + appStateContext?.dispatch({ type: 'DELETE_CHAT_ENTRY', payload: item.id }) + } + toggleDeleteDialog() + } + + const onEdit = () => { + setEdit(true) + setTextFieldFocused(true) + setEditTitle(item?.title) + } + + const handleSelectItem = () => { + onSelect(item) + appStateContext?.dispatch({ type: 'UPDATE_CURRENT_CHAT', payload: item }) + } + + const truncatedTitle = item?.title?.length > 28 ? `${item.title.substring(0, 28)} ...` : item.title + + const handleSaveEdit = async (e: any) => { + e.preventDefault() + if (errorRename || renameLoading) { + return + } + if (editTitle == item.title) { + setErrorRename('Error: Enter a new title to proceed.') + setTimeout(() => { + setErrorRename(undefined) + setTextFieldFocused(true) + if (textFieldRef.current) { + textFieldRef.current.focus() + } + }, 5000) + return + } + setRenameLoading(true) + const response = await historyRename(item.id, editTitle) + if (!response.ok) { + setErrorRename('Error: could not rename item') + setTimeout(() => { + setTextFieldFocused(true) + setErrorRename(undefined) + if (textFieldRef.current) { + textFieldRef.current.focus() + } + }, 5000) + } else { + setRenameLoading(false) + setEdit(false) + appStateContext?.dispatch({ type: 'UPDATE_CHAT_TITLE', payload: { ...item, title: editTitle } as Conversation }) + setEditTitle('') + } + } + + const chatHistoryTitleOnChange = (e: any) => { + setEditTitle(e.target.value) + } + + const cancelEditTitle = () => { + setEdit(false) + setEditTitle('') + } + + const handleKeyPressEdit = (e: any) => { + if (e.key === 'Enter') { + return handleSaveEdit(e) + } + if (e.key === 'Escape') { + cancelEditTitle() + return + } + } + + return ( + handleSelectItem()} + onKeyDown={e => (e.key === 'Enter' || e.key === ' ' ? handleSelectItem() : null)} + verticalAlign="center" + // horizontal + onMouseEnter={() => setIsHovered(true)} + onMouseLeave={() => setIsHovered(false)} + styles={{ + root: { + backgroundColor: isSelected ? '#e6e6e6' : 'transparent' + } + }}> + {edit ? ( + <> + +
handleSaveEdit(e)} style={{ padding: '5px 0px' }}> + + + + + {editTitle && ( + + + (e.key === ' ' || e.key === 'Enter' ? handleSaveEdit(e) : null)} + onClick={e => handleSaveEdit(e)} + aria-label="confirm new title" + iconProps={{ iconName: 'CheckMark' }} + styles={{ root: { color: 'green', marginLeft: '5px' } }} + /> + (e.key === ' ' || e.key === 'Enter' ? cancelEditTitle() : null)} + onClick={() => cancelEditTitle()} + aria-label="cancel edit title" + iconProps={{ iconName: 'Cancel' }} + styles={{ root: { color: 'red', marginLeft: '5px' } }} + /> + + + )} + + {errorRename && ( + + {errorRename} + + )} +
+ + + ) : ( + <> + +
{truncatedTitle}
+ {(isSelected || isHovered) && ( + + (e.key === ' ' ? toggleDeleteDialog() : null)} + /> + (e.key === ' ' ? onEdit() : null)} + /> + + )} + + + )} + {errorDelete && ( + + Error: could not delete item + + )} + + + ) +} + +export const ChatHistoryListItemGroups: React.FC = ({ groupedChatHistory }) => { + const appStateContext = useContext(AppStateContext) + const observerTarget = useRef(null) + const [, setSelectedItem] = React.useState(null) + const [offset, setOffset] = useState(25) + const [observerCounter, setObserverCounter] = useState(0) + const [showSpinner, setShowSpinner] = useState(false) + const firstRender = useRef(true) + + const handleSelectHistory = (item?: Conversation) => { + if (item) { + setSelectedItem(item) + } + } + + const onRenderCell = (item?: Conversation) => { + return handleSelectHistory(item)} /> + } + + useEffect(() => { + if (firstRender.current) { + firstRender.current = false + return + } + handleFetchHistory() + setOffset(offset => (offset += 25)) + }, [observerCounter]) + + const handleFetchHistory = async () => { + const currentChatHistory = appStateContext?.state.chatHistory + setShowSpinner(true) + + await historyList(offset).then(response => { + const concatenatedChatHistory = currentChatHistory && response && currentChatHistory.concat(...response) + if (response) { + appStateContext?.dispatch({ type: 'FETCH_CHAT_HISTORY', payload: concatenatedChatHistory || response }) + } else { + appStateContext?.dispatch({ type: 'FETCH_CHAT_HISTORY', payload: null }) + } + setShowSpinner(false) + return response + }) + } + + useEffect(() => { + const observer = new IntersectionObserver( + entries => { + if (entries[0].isIntersecting) setObserverCounter(observerCounter => (observerCounter += 1)) + }, + { threshold: 1 } + ) + + if (observerTarget.current) observer.observe(observerTarget.current) + + return () => { + if (observerTarget.current) observer.unobserve(observerTarget.current) + } + }, [observerTarget]) + + return ( +
+ {groupedChatHistory.map( + group => + group.entries.length > 0 && ( + + + {formatMonth(group.month)} + + +
+ + + ) + )} + {showSpinner && ( +
+ +
+ )} +
+ ) +} diff --git a/frontend/src/components/ChatHistory/ChatHistoryPanel.module.css b/frontend/src/components/ChatHistory/ChatHistoryPanel.module.css new file mode 100644 index 00000000..784838fe --- /dev/null +++ b/frontend/src/components/ChatHistory/ChatHistoryPanel.module.css @@ -0,0 +1,79 @@ +.container { + max-height: calc(100vh - 100px); + width: 300px; +} + +.listContainer { + overflow: hidden auto; + max-height: calc(90vh - 105px); +} + +.itemCell { + max-width: 270px; + min-height: 32px; + cursor: pointer; + padding-left: 15px; + padding-right: 5px; + padding-top: 5px; + padding-bottom: 5px; + box-sizing: border-box; + border-radius: 5px; + display: flex; +} + +.itemCell:hover { + background: #e6e6e6; +} + +.itemButton { + display: flex; + justify-content: center; + align-items: center; + width: 28px; + height: 28px; + border: 1px solid #d1d1d1; + border-radius: 5px; + background-color: white; + margin: auto 2.5px; + cursor: pointer; +} + +.itemButton:hover { + background-color: #e6e6e6; +} + +.chatGroup { + margin: auto 5px; + width: 100%; +} + +.spinnerContainer { + display: flex; + justify-content: center; + align-items: center; + height: 50px; +} + +.chatList { + width: 100%; +} + +.chatMonth { + font-size: 14px; + font-weight: 600; + margin-bottom: 5px; + padding-left: 15px; +} + +.chatTitle { + width: 80%; + overflow: hidden; + white-space: nowrap; + text-overflow: ellipsis; +} + +@media (max-width: 480px) { + .container { + width: 100%; + } +} diff --git a/frontend/src/components/ChatHistory/ChatHistoryPanel.tsx b/frontend/src/components/ChatHistory/ChatHistoryPanel.tsx new file mode 100644 index 00000000..4b24f2a1 --- /dev/null +++ b/frontend/src/components/ChatHistory/ChatHistoryPanel.tsx @@ -0,0 +1,235 @@ +import { useContext } from 'react' +import React from 'react' +import { + CommandBarButton, + ContextualMenu, + DefaultButton, + Dialog, + DialogFooter, + DialogType, + ICommandBarStyles, + IContextualMenuItem, + IStackStyles, + PrimaryButton, + Spinner, + SpinnerSize, + Stack, + StackItem, + Text +} from '@fluentui/react' +import { useBoolean } from '@fluentui/react-hooks' + +import { ChatHistoryLoadingState, historyDeleteAll } from '../../api' +import { AppStateContext } from '../../state/AppProvider' + +import ChatHistoryList from './ChatHistoryList' + +import styles from './ChatHistoryPanel.module.css' + +interface ChatHistoryPanelProps {} + +export enum ChatHistoryPanelTabs { + History = 'History' +} + +const commandBarStyle: ICommandBarStyles = { + root: { + padding: '0', + display: 'flex', + justifyContent: 'center', + backgroundColor: 'transparent' + } +} + +const commandBarButtonStyle: Partial = { root: { height: '50px' } } + +export function ChatHistoryPanel(_props: ChatHistoryPanelProps) { + const appStateContext = useContext(AppStateContext) + const [showContextualMenu, setShowContextualMenu] = React.useState(false) + const [hideClearAllDialog, { toggle: toggleClearAllDialog }] = useBoolean(true) + const [clearing, setClearing] = React.useState(false) + const [clearingError, setClearingError] = React.useState(false) + + const clearAllDialogContentProps = { + type: DialogType.close, + title: !clearingError ? 'Are you sure you want to clear all chat history?' : 'Error deleting all of chat history', + closeButtonAriaLabel: 'Close', + subText: !clearingError + ? 'All chat history will be permanently removed.' + : 'Please try again. If the problem persists, please contact the site administrator.' + } + + const modalProps = { + titleAriaId: 'labelId', + subtitleAriaId: 'subTextId', + isBlocking: true, + styles: { main: { maxWidth: 450 } } + } + + const menuItems: IContextualMenuItem[] = [ + { key: 'clearAll', text: 'Clear all chat history', iconProps: { iconName: 'Delete' } } + ] + + const handleHistoryClick = () => { + appStateContext?.dispatch({ type: 'TOGGLE_CHAT_HISTORY' }) + } + + const onShowContextualMenu = React.useCallback((ev: React.MouseEvent) => { + ev.preventDefault() // don't navigate + setShowContextualMenu(true) + }, []) + + const onHideContextualMenu = React.useCallback(() => setShowContextualMenu(false), []) + + const onClearAllChatHistory = async () => { + setClearing(true) + const response = await historyDeleteAll() + if (!response.ok) { + setClearingError(true) + } else { + appStateContext?.dispatch({ type: 'DELETE_CHAT_HISTORY' }) + toggleClearAllDialog() + } + setClearing(false) + } + + const onHideClearAllDialog = () => { + toggleClearAllDialog() + setTimeout(() => { + setClearingError(false) + }, 2000) + } + + React.useEffect(() => {}, [appStateContext?.state.chatHistory, clearingError]) + + return ( +
+ + + + Chat history + + + + + + + + + + + {appStateContext?.state.chatHistoryLoadingState === ChatHistoryLoadingState.Success && + appStateContext?.state.isCosmosDBAvailable.cosmosDB && } + {appStateContext?.state.chatHistoryLoadingState === ChatHistoryLoadingState.Fail && + appStateContext?.state.isCosmosDBAvailable && ( + <> + + + + + {appStateContext?.state.isCosmosDBAvailable?.status && ( + {appStateContext?.state.isCosmosDBAvailable?.status} + )} + {!appStateContext?.state.isCosmosDBAvailable?.status && Error loading chat history} + + + + + Chat history can't be saved at this time + + + + + + )} + {appStateContext?.state.chatHistoryLoadingState === ChatHistoryLoadingState.Loading && ( + <> + + + + + + + + Loading chat history + + + + + + )} + + + +
+ ) +} diff --git a/frontend/src/components/DraftCards/SectionCard.tsx b/frontend/src/components/DraftCards/SectionCard.tsx new file mode 100644 index 00000000..6f353523 --- /dev/null +++ b/frontend/src/components/DraftCards/SectionCard.tsx @@ -0,0 +1,201 @@ +import React from 'react' +import { Stack } from "@fluentui/react" +import { AppStateContext } from '../../state/AppProvider' +import { sectionGenerate, SectionGenerateRequest } from '../../api'; +import { Section } from '../../api/models' +import { Spinner } from "@fluentui/react"; +import GenerateIcon from '../../assets/Generate.svg' +import type { PopoverProps } from '@fluentui/react-components' +import { Dismiss16Regular } from '@fluentui/react-icons'; +import { Textarea, makeStyles, Text, Popover, PopoverSurface, PopoverTrigger, Button } from '@fluentui/react-components'; + + +interface SectionCardProps { + sectionIdx: number +} + +const useStyles = makeStyles({ + generateButton: { + backgroundColor: '#FFFFFF', + border: '1px solid #B3B0AD', + width: '117px', + height: '32px', + padding: '0', + borderRadius: '4px', + }, + + popoverSurface: { + width: '50%', + flexDirection: 'column', + gap: '2rem', + backgroundColor: '#EDEBE9' + }, + + popoverTextHeader: { + fontSize: '1.25rem', + fontWeight: 'bold', + }, + + popoverTextarea: { + width: '100%', + backgroundColor: '#FFFFFF', + borderRadius: '4px', + // margin top and bottom + margin: '0.5rem 0', + padding: '0.5rem', + + // make text selectable + userSelect: 'text', + + // highlight color + '&::selection': { + backgroundColor: '#FFD6A5', + } + }, + + popoverGenerateButton: { + backgroundColor: '#FFFFFF', + border: '1px solid #B3B0AD', + width: '117px', + height: '32px', + padding: '0', + borderRadius: '4px', + }, + + dismissButton: { + backgroundColor: '#FFFFFF', + border: '1px solid #B3B0AD', + width: '18px', + height: '18px', + borderRadius: '4px', + }, + + sectionContentContainer: { + height: '128px', + backgroundColor: '#FFFFFF', + borderRadius: '4px', + border: '1px solid #B3B0AD' + }, + + sectionContentTextarea: { + width: '100%', + height: '100%', + + // make text selectable + userSelect: 'text', + + '&::selection': { + backgroundColor: '#FFD6A5', + } + } + +}); + +const SectionCard = ({ sectionIdx }: SectionCardProps) => { + const classes = useStyles() + const [isLoading, setIsLoading] = React.useState(false) + const [isPopoverOpen, setIsPopoverOpen] = React.useState(false) + const appStateContext = React.useContext(AppStateContext) + + if (!appStateContext) { throw new Error('useAppState must be used within a AppStateProvider') } + const section = appStateContext.state.draftedDocument.sections[sectionIdx] + + const sectionTitle = section.title + const sectionDescription = section.description + const sectionContent = section.content + + const handleOpenChange: PopoverProps["onOpenChange"] = (e, data) => setIsPopoverOpen(data.open || false); + + async function fetchSectionContent(sectionTitle: string, sectionDescription: string) { + setIsLoading(true) + const sectionGenerateRequest: SectionGenerateRequest = { sectionTitle, sectionDescription } + const response = await sectionGenerate(sectionGenerateRequest) + + + const responseBody = await response.json() + const updatedSection: Section = { title: sectionTitle, description: sectionDescription, content: responseBody.section_content } + appStateContext?.dispatch({ type: 'UPDATE_SECTION', payload: { sectionIdx: sectionIdx, section: updatedSection } }) + + setIsLoading(false) + } + + if (sectionContent === '' && !isLoading) { fetchSectionContent(sectionTitle, sectionDescription) } + + return ( + + + {sectionTitle} + + + + + + + + Regenerate {sectionTitle} +