diff --git a/.github/workflows/bicep-audit.yml b/.github/workflows/bicep-audit.yml index b9672c9c8..2714d8dec 100644 --- a/.github/workflows/bicep-audit.yml +++ b/.github/workflows/bicep-audit.yml @@ -29,7 +29,7 @@ jobs: tools: templateanalyzer - name: Upload alerts to Security tab - uses: github/codeql-action/upload-sarif@v3 + uses: github/codeql-action/upload-sarif@v4 if: github.repository_owner == 'Azure-Samples' with: sarif_file: ${{ steps.msdo.outputs.sarifFile }} diff --git a/.github/workflows/broken-links-checker.yml b/.github/workflows/broken-links-checker.yml index 896ae646a..c5d473831 100644 --- a/.github/workflows/broken-links-checker.yml +++ b/.github/workflows/broken-links-checker.yml @@ -28,13 +28,11 @@ jobs: with: files: | **/*.md - - # For PR: Check broken links only in changed files - name: Check Broken Links in Changed Markdown Files id: lychee-check-pr if: github.event_name == 'pull_request' && steps.changed-markdown-files.outputs.any_changed == 'true' - uses: lycheeverse/lychee-action@v2.4.1 + uses: lycheeverse/lychee-action@v2.7.0 with: args: > --verbose --exclude-mail --no-progress --exclude ^https?:// @@ -47,7 +45,7 @@ jobs: - name: Check Broken Links in All Markdown Files in Entire Repo (Manual Trigger) id: lychee-check-manual if: github.event_name == 'workflow_dispatch' - uses: lycheeverse/lychee-action@v2.6.1 + uses: lycheeverse/lychee-action@v2.7.0 with: args: > --verbose --exclude-mail --no-progress --exclude ^https?:// diff --git a/.github/workflows/build-docker.yml b/.github/workflows/build-docker.yml index a6fa51598..489b5d66d 100644 --- a/.github/workflows/build-docker.yml +++ b/.github/workflows/build-docker.yml @@ -29,7 +29,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout - uses: actions/checkout@v5 + uses: actions/checkout@v6 - name: Docker Login to cwydcontainerreg (Main) if: ${{ inputs.push == true && github.ref_name == 'main' }} diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index acd04f74e..ae02f116b 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -416,7 +416,7 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@v5 + uses: actions/checkout@v6 - name: Destroy resources uses: devcontainers/ci@v0.3 diff --git a/.github/workflows/comment_coverage.yml b/.github/workflows/comment_coverage.yml index aad72ac1f..6d7ee2497 100644 --- a/.github/workflows/comment_coverage.yml +++ b/.github/workflows/comment_coverage.yml @@ -18,7 +18,7 @@ jobs: github.event.workflow_run.conclusion != 'cancelled' steps: - name: Download artifact - uses: actions/download-artifact@v5 + uses: actions/download-artifact@v7 with: name: coverage github-token: ${{ secrets.GITHUB_TOKEN }} @@ -39,7 +39,7 @@ jobs: return response.data[0]?.number ?? ""; retries: 3 - name: Comment coverage - uses: MishaKav/pytest-coverage-comment@13d3c18e21895566c746187c9ea74736372e5e91 + uses: MishaKav/pytest-coverage-comment@ae0e8a539a3f310aefb3bfb6a2209778a21fa42b with: pytest-xml-coverage-path: coverage.xml junitxml-path: coverage-junit.xml diff --git a/.github/workflows/create-release.yml b/.github/workflows/create-release.yml index 4f7f4c28c..69a75f265 100644 --- a/.github/workflows/create-release.yml +++ b/.github/workflows/create-release.yml @@ -17,7 +17,7 @@ jobs: steps: - name: Checkout - uses: actions/checkout@v5 + uses: actions/checkout@v6 with: ref: ${{ github.event.workflow_run.head_sha }} diff --git a/.github/workflows/scheduled-Dependabot-PRs-Auto-Merge.yml b/.github/workflows/scheduled-Dependabot-PRs-Auto-Merge.yml index 0653e3d70..90afcef0e 100644 --- a/.github/workflows/scheduled-Dependabot-PRs-Auto-Merge.yml +++ b/.github/workflows/scheduled-Dependabot-PRs-Auto-Merge.yml @@ -36,7 +36,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout repository - uses: actions/checkout@v5 + uses: actions/checkout@v6 - name: Install GitHub CLI run: | @@ -96,7 +96,7 @@ jobs: echo "✅ PR #$pr_number is mergeable. Skipping rebase." fi done < matched_prs.txt - + - name: Auto-Merge PRs using available strategy if: success() env: @@ -149,4 +149,4 @@ jobs: if [[ "$mergeable" != "MERGEABLE" && "$mergeable" != "CONFLICTING" ]]; then echo "❌ Mergeability undetermined after $max_attempts attempts. Skipping PR #$pr_number" fi - done < matched_prs.txt || echo "⚠️ Completed loop with some errors, but continuing gracefully." \ No newline at end of file + done < matched_prs.txt || echo "⚠️ Completed loop with some errors, but continuing gracefully." diff --git a/.github/workflows/stale-bot.yml b/.github/workflows/stale-bot.yml index 20e3e7c73..f1886b678 100644 --- a/.github/workflows/stale-bot.yml +++ b/.github/workflows/stale-bot.yml @@ -24,16 +24,16 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout Repository - uses: actions/checkout@v5 + uses: actions/checkout@v6 with: fetch-depth: 0 # Fetch full history for accurate branch checks - name: Fetch All Branches run: git fetch --all --prune - name: List Merged Branches With No Activity in Last 3 Months run: | - + echo "Branch Name,Last Commit Date,Committer,Committed In Branch,Action" > merged_branches_report.csv - + for branch in $(git for-each-ref --format '%(refname:short) %(committerdate:unix)' refs/remotes/origin | awk -v date=$(date -d '3 months ago' +%s) '$2 < date {print $1}'); do if [[ "$branch" != "origin/main" && "$branch" != "origin/dev" ]]; then branch_name=${branch#origin/} @@ -47,7 +47,7 @@ jobs: done - name: List PR Approved and Merged Branches Older Than 30 Days run: | - + for branch in $(gh api repos/${{ github.repository }}/pulls --jq '.[] | select(.merged_at != null and (.base.ref == "main" or .base.ref == "dev")) | select(.merged_at | fromdateiso8601 < (now - 2592000)) | .head.ref'); do # Ensure the branch exists locally before getting last commit date git fetch origin "$branch" || echo "Could not fetch branch: $branch" @@ -60,7 +60,7 @@ jobs: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: List Open PR Branches With No Activity in Last 3 Months run: | - + for branch in $(gh api repos/${{ github.repository }}/pulls --state open --jq '.[] | select(.base.ref == "main" or .base.ref == "dev") | .head.ref'); do # Ensure the branch exists locally before getting last commit date git fetch origin "$branch" || echo "Could not fetch branch: $branch" @@ -75,7 +75,7 @@ jobs: env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} - name: Upload CSV Report of Inactive Branches - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v6 with: name: merged-branches-report path: merged_branches_report.csv diff --git a/.github/workflows/test-automation.yml b/.github/workflows/test-automation.yml index 604c9816a..4b5a6b9fd 100644 --- a/.github/workflows/test-automation.yml +++ b/.github/workflows/test-automation.yml @@ -20,10 +20,10 @@ jobs: steps: - name: Checkout repository - uses: actions/checkout@v5 + uses: actions/checkout@v6 - name: Set up Python - uses: actions/setup-python@v5 + uses: actions/setup-python@v6 with: python-version: '3.13' @@ -69,7 +69,7 @@ jobs: - name: Upload test report id: upload_report - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v6 if: ${{ !cancelled() }} with: name: cwyd-test-report diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index fcec7a3d3..10790abd7 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -1,6 +1,7 @@ name: Test Workflow with Coverage on: + workflow_dispatch: push: branches: [main, dev, demo] paths: @@ -30,7 +31,7 @@ jobs: name: Tests runs-on: ubuntu-latest steps: - - uses: actions/checkout@v5 + - uses: actions/checkout@v6 - name: Install Poetry run: pip install poetry - name: Setup python @@ -70,7 +71,7 @@ jobs: result-encoding: string retries: 3 - name: Download main coverage artifact - uses: actions/download-artifact@v5 + uses: actions/download-artifact@v7 if: github.event_name == 'pull_request' && steps.coverage-artifact.outputs.result != '' continue-on-error: true # There is a chance that the artifact doesn't exist, or has expired with: @@ -90,8 +91,8 @@ jobs: echo "MIN_COVERAGE=$MIN_COVERAGE" >> "$GITHUB_OUTPUT" - name: Run Python Tests - run: make python-test optional_args="--junitxml=coverage-junit.xml --cov=. --cov-report xml:coverage.xml --cov-fail-under ${{ steps.coverage-value.outputs.MIN_COVERAGE }} ./code/tests" - - uses: actions/upload-artifact@v4 + run: make python-test optional_args="--junitxml=coverage-junit.xml --cov=code --cov-report=term-missing --cov-report=xml:coverage.xml --cov-fail-under=${{ steps.coverage-value.outputs.MIN_COVERAGE }} ./code/tests" + - uses: actions/upload-artifact@v6 if: ${{ !cancelled() }} with: name: coverage @@ -100,7 +101,7 @@ jobs: coverage.xml if-no-files-found: error - name: Setup node - uses: actions/setup-node@v5 + uses: actions/setup-node@v6 with: node-version: 20 cache: "npm" diff --git a/code/frontend/package-lock.json b/code/frontend/package-lock.json index 319fca4a7..5693cbe32 100644 --- a/code/frontend/package-lock.json +++ b/code/frontend/package-lock.json @@ -8,49 +8,49 @@ "name": "frontend", "version": "0.0.0", "dependencies": { - "@babel/traverse": "^7.28.4", - 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"picomatch": "^4.0.2", - "std-env": "^3.9.0", + "picomatch": "^4.0.3", + "std-env": "^3.10.0", "tinybench": "^2.9.0", - "tinyexec": "^0.3.2", - "tinyglobby": "^0.2.14", - "tinypool": "^1.1.1", - "tinyrainbow": "^2.0.0", - "vite": "^5.0.0 || ^6.0.0 || ^7.0.0-0", - "vite-node": "3.2.4", + "tinyexec": "^1.0.2", + "tinyglobby": "^0.2.15", + "tinyrainbow": "^3.0.3", + "vite": "^6.0.0 || ^7.0.0", "why-is-node-running": "^2.3.0" }, "bin": { "vitest": "vitest.mjs" }, "engines": { - "node": "^18.0.0 || ^20.0.0 || >=22.0.0" + "node": "^20.0.0 || ^22.0.0 || >=24.0.0" }, "funding": { "url": "https://opencollective.com/vitest" }, "peerDependencies": { "@edge-runtime/vm": "*", - "@types/debug": "^4.1.12", - "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0", - "@vitest/browser": "3.2.4", - "@vitest/ui": "3.2.4", + "@opentelemetry/api": "^1.9.0", + "@types/node": "^20.0.0 || ^22.0.0 || >=24.0.0", + "@vitest/browser-playwright": "4.0.16", + "@vitest/browser-preview": "4.0.16", + "@vitest/browser-webdriverio": "4.0.16", + "@vitest/ui": "4.0.16", "happy-dom": "*", "jsdom": "*" }, @@ -9141,13 +9103,19 @@ "@edge-runtime/vm": { "optional": true }, - "@types/debug": { + "@opentelemetry/api": { "optional": true }, "@types/node": { "optional": true }, - "@vitest/browser": { + "@vitest/browser-playwright": { + "optional": true + }, + "@vitest/browser-preview": { + "optional": true + }, + "@vitest/browser-webdriverio": { "optional": true }, "@vitest/ui": { diff --git a/code/frontend/package.json b/code/frontend/package.json index 5f78ef938..e6270bc65 100644 --- a/code/frontend/package.json +++ b/code/frontend/package.json @@ -11,21 +11,21 @@ "test:watch": "jest --coverage --verbose --watchAll" }, "dependencies": { - "@babel/traverse": "^7.28.4", - "@fluentui/react": "^8.123.6", - "@fluentui/react-icons": "^2.0.311", - "@fortawesome/fontawesome-svg-core": "^7.0.1", - "@fortawesome/free-solid-svg-icons": "^7.0.1", - "@fortawesome/react-fontawesome": "^0.2.2", + "@babel/traverse": "^7.28.5", + "@fluentui/react": "^8.125.3", + "@fluentui/react-icons": "^2.0.316", + "@fortawesome/fontawesome-svg-core": "^7.1.0", + "@fortawesome/free-solid-svg-icons": "^7.1.0", + "@fortawesome/react-fontawesome": "^3.1.1", "lodash": "^4.17.21", - "lodash-es": "^4.17.21", - "microsoft-cognitiveservices-speech-sdk": "^1.46.0", + "lodash-es": "^4.17.22", + "microsoft-cognitiveservices-speech-sdk": "^1.47.0", "postcss": "^8.5.6", - "react": "^18.2.0", - "react-dom": "^18.2.0", + "react": "^19.2.3", + "react-dom": "^19.2.3", "react-markdown": "^10.1.0", - "react-router-dom": "^7.9.3", + "react-router-dom": "^7.11.0", "rehype-raw": "^7.0.0", "remark-gfm": "^4.0.0", @@ -33,16 +33,16 @@ "uuid": "^13.0.0" }, "devDependencies": { - "@testing-library/jest-dom": "^6.9.0", - "@testing-library/react": "^16.0.1", + "@testing-library/jest-dom": "^6.9.1", + "@testing-library/react": "^16.3.1", "@testing-library/user-event": "^14.5.2", "@types/isomorphic-fetch": "^0.0.39", "@types/jest": "^30.0.0", "@types/lodash-es": "^4.17.12", - "@types/node": "^24.6.1", - "@types/react": "^18.0.0", - "@types/react-dom": "^18.0.0", + "@types/node": "^25.0.3", + "@types/react": "^19.2.7", + "@types/react-dom": "^19.2.3", "@types/testing-library__user-event": "^4.2.0", "@types/uuid": "^11.0.0", @@ -50,15 +50,15 @@ "isomorphic-fetch": "^3.0.0", "jest": "^30.2.0", "jest-environment-jsdom": "^30.2.0", - "msw": "^2.11.3", - "@vitejs/plugin-react": "^5.0.4", - "prettier": "^3.6.2", - "ts-jest": "^29.4.4", + "msw": "^2.12.7", + "@vitejs/plugin-react": "^5.1.2", + "prettier": "^3.7.4", + "ts-jest": "^29.4.6", "ts-node": "^10.9.2", "typescript": "^5.9.3", - "vite": "^7.1.7", + "vite": "^7.3.0", - "vitest": "^3.2.4" + "vitest": "^4.0.16" } } diff --git a/code/frontend/src/components/Answer/Answer.tsx b/code/frontend/src/components/Answer/Answer.tsx index f1675d55f..07801230f 100644 --- a/code/frontend/src/components/Answer/Answer.tsx +++ b/code/frontend/src/components/Answer/Answer.tsx @@ -129,6 +129,14 @@ export const Answer = ({ } }, [isActive, synthesizer]); + useEffect(() => { + return () => { + if (isSpeaking) { + resetSpeech(); + } + }; + }, []); + useEffect(() => { setChevronIsExpanded(isRefAccordionOpen); // if (chevronIsExpanded && refContainer.current) { @@ -221,7 +229,7 @@ export const Answer = ({ const handleSpeakPauseResume = () => { if (isSpeaking) { if (isPaused) { - onSpeak(index, "speak"); + onSpeak(index, "speak", resetSpeech); audioDestination?.resume(); setIsPaused(false); setStartTime(Date.now()); @@ -238,7 +246,7 @@ export const Answer = ({ } } } else { - onSpeak(index, "speak"); + onSpeak(index, "speak", resetSpeech); startSpeech(); } }; diff --git a/code/frontend/src/components/ChatMessageContainer/ChatMessageContainer.test.tsx b/code/frontend/src/components/ChatMessageContainer/ChatMessageContainer.test.tsx index 5dbcace01..8c75d6062 100644 --- a/code/frontend/src/components/ChatMessageContainer/ChatMessageContainer.test.tsx +++ b/code/frontend/src/components/ChatMessageContainer/ChatMessageContainer.test.tsx @@ -19,7 +19,7 @@ jest.mock("../../components/Answer", () => ({ : } - + ) })); @@ -139,9 +139,14 @@ describe("ChatMessageContainer", () => { expect.objectContaining({ answer: expect.objectContaining({ citations: ["Citation1"], + answer: "Assistant's response" }), + index: 1, + isActive: false, + onCitationClicked: expect.any(Function), + onSpeak: expect.any(Function) }), - expect.anything() + undefined ); }); @@ -160,9 +165,14 @@ describe("ChatMessageContainer", () => { expect.objectContaining({ answer: expect.objectContaining({ citations: [], + answer: "Assistant's response" }), + index: 1, + isActive: false, + onCitationClicked: expect.any(Function), + onSpeak: expect.any(Function) }), - expect.anything() + undefined ); }); diff --git a/code/frontend/src/components/QuestionInput/QuestionInput.tsx b/code/frontend/src/components/QuestionInput/QuestionInput.tsx index 7984beefc..0e2033a8b 100644 --- a/code/frontend/src/components/QuestionInput/QuestionInput.tsx +++ b/code/frontend/src/components/QuestionInput/QuestionInput.tsx @@ -1,5 +1,5 @@ import React, { useState, useEffect } from "react"; -import { Stack, TextField } from "@fluentui/react"; +import { Stack, TextField, TooltipHost } from "@fluentui/react"; import { SendRegular } from "@fluentui/react-icons"; import Send from "../../assets/Send.svg"; import MicrophoneIcon from "../../assets/mic-outline.svg"; @@ -109,6 +109,7 @@ export const QuestionInput = ({ />
{/* Microphone Icon */} + + {/* Send Button */} {isSendButtonDisabled ? ( - + ) : ( +
)}
+
)}
diff --git a/code/frontend/src/components/Spinner/Spinner.test.tsx b/code/frontend/src/components/Spinner/Spinner.test.tsx index c796cfd5e..36bcfecd3 100644 --- a/code/frontend/src/components/Spinner/Spinner.test.tsx +++ b/code/frontend/src/components/Spinner/Spinner.test.tsx @@ -9,6 +9,10 @@ jest.mock('@fluentui/react', () => ({ })); describe('SpinnerComponent', () => { + beforeEach(() => { + jest.clearAllMocks(); + }); + test('does not render the spinner when loading is false', () => { render(); @@ -30,9 +34,15 @@ describe('SpinnerComponent', () => { render(); // Spinner should be in the document with the provided label - expect(Spinner).toHaveBeenCalledWith( - expect.objectContaining({ label }), - expect.anything() + expect(Spinner).toHaveBeenLastCalledWith( + expect.objectContaining({ + label, + size: 3, + styles: expect.objectContaining({ + label: expect.any(Object) + }) + }), + undefined ); }); @@ -40,9 +50,15 @@ describe('SpinnerComponent', () => { render(); // Spinner should be called without a label - expect(Spinner).toHaveBeenCalledWith( - expect.objectContaining({ label: undefined }), - expect.anything() + expect(Spinner).toHaveBeenLastCalledWith( + expect.objectContaining({ + label: undefined, + size: 3, + styles: expect.objectContaining({ + label: expect.any(Object) + }) + }), + undefined ); }); @@ -50,8 +66,10 @@ describe('SpinnerComponent', () => { render(); // Spinner should be called with custom styles - expect(Spinner).toHaveBeenCalledWith( + expect(Spinner).toHaveBeenLastCalledWith( expect.objectContaining({ + label: undefined, + size: 3, styles: expect.objectContaining({ label: { fontSize: '20px', @@ -60,7 +78,7 @@ describe('SpinnerComponent', () => { }, }), }), - expect.anything() + undefined ); }); }); diff --git a/code/frontend/src/pages/chat/Chat.tsx b/code/frontend/src/pages/chat/Chat.tsx index 57f3fbbc5..da14e829b 100644 --- a/code/frontend/src/pages/chat/Chat.tsx +++ b/code/frontend/src/pages/chat/Chat.tsx @@ -1,6 +1,7 @@ import React, { useRef, useState, useEffect } from "react"; -import { Stack } from "@fluentui/react"; +import { Stack, TooltipHost } from "@fluentui/react"; import { BroomRegular, SquareRegular } from "@fluentui/react-icons"; +import { useId, useConst } from '@fluentui/react-hooks' import { SpeechRecognizer, ResultReason, @@ -38,6 +39,7 @@ const [ASSISTANT, TOOL, ERROR] = ["assistant", "tool", "error"]; const Chat = () => { const lastQuestionRef = useRef(""); const chatMessageStreamEnd = useRef(null); + const audioStopRef = useRef<(() => void) | null>(null); const [isLoading, setIsLoading] = useState(false); const [isGenerating, setIsGenerating] = useState(false); // Add this state const [showLoadingMessage, setShowLoadingMessage] = useState(false); @@ -303,11 +305,13 @@ const Chat = () => { }; const clearChat = () => { + audioStopRef.current?.(); lastQuestionRef.current = ""; setActiveCitation(undefined); setAnswers([]); setConversationId(uuidv4()); setSelectedConvId(""); + setActiveCardIndex(null); }; const stopGenerating = () => { @@ -385,9 +389,12 @@ const Chat = () => { [] ); - const handleSpeech = (index: number, status: string) => { + const handleSpeech = (index: number, status: string, stopAudioFn?: () => void) => { if (status != "pause") setActiveCardIndex(index); setIsTextToSpeachActive(status == "speak" ? true : false); + if (status == "speak" && stopAudioFn) { + audioStopRef.current = stopAudioFn; + } }; const onSetShowHistoryPanel = () => { if (!showHistoryPanel) { @@ -423,8 +430,15 @@ const Chat = () => { console.error("No conversation Id found"); return; } + + if (id !== selectedConvId) { + audioStopRef.current?.(); + setActiveCardIndex(null); + } + const messages = getMessagesByConvId(id); if (messages.length === 0) { + setAnswers([]); setFetchingConvMessages(true); const responseMessages = await historyRead(id); setAnswers(responseMessages); @@ -433,7 +447,10 @@ const Chat = () => { } else { setAnswers(messages); } - setSelectedConvId(id); + + if (id !== selectedConvId) { + setSelectedConvId(id); + } }; useEffect(() => { @@ -477,6 +494,7 @@ const Chat = () => { ); setChatHistory(tempChatHistory); if (id === selectedConvId) { + audioStopRef.current?.(); lastQuestionRef.current = ""; setActiveCitation(undefined); setAnswers([]); @@ -505,7 +523,11 @@ const Chat = () => { return response; }); }; - + const buttonId = useId('newChatButton'); + const calloutProps = useConst({ + gapSpace: 0, + target: `#${buttonId}`, + }); const loadingMessageBlock = () => { return ( @@ -594,6 +616,10 @@ const Chat = () => { )} + + { aria-label="Clear session" role="button" tabIndex={0} + id={buttonId} /> + bool: + return True + + async def upsert_conversation(self, conversation: Dict[str, Any]) -> bool: + return True + + async def delete_conversation( + self, user_id: str, conversation_id: str + ) -> bool: + return True + + async def delete_messages( + self, conversation_id: str, user_id: str + ) -> List[Dict[str, Any]]: + return [] + + async def get_conversations( + self, + user_id: str, + limit: int, + sort_order: str = "DESC", + offset: int = 0, + ) -> List[Dict[str, Any]]: + return [] + + async def get_conversation( + self, user_id: str, conversation_id: str + ) -> Optional[Dict[str, Any]]: + return None + + async def create_message( + self, + uuid: str, + conversation_id: str, + user_id: str, + input_message: Dict[str, Any], + ) -> bool: + return True + + async def update_message_feedback( + self, user_id: str, message_id: str, feedback: str + ) -> bool: + return True + + async def get_messages( + self, user_id: str, conversation_id: str + ) -> List[Dict[str, Any]]: + return [] + + # Should be able to instantiate without errors + client = CompleteClient() + assert isinstance(client, DatabaseClientBase) + assert isinstance(client, CompleteClient) + + # Verify all methods are callable + await client.connect() + await client.close() + await client.ensure() + await client.create_conversation("user1", "conv1", "Test") + await client.upsert_conversation({"id": "conv1"}) + await client.delete_conversation("user1", "conv1") + await client.delete_messages("conv1", "user1") + await client.get_conversations("user1", 10) + await client.get_conversation("user1", "conv1") + await client.create_message("msg1", "conv1", "user1", {"content": "test"}) + await client.update_message_feedback("user1", "msg1", "positive") + await client.get_messages("user1", "conv1") + + +class TestDatabaseClientBaseMethodSignatures: + """Test that DatabaseClientBase defines correct method signatures""" + + def test_connect_signature(self): + """Test connect method has correct signature""" + assert hasattr(DatabaseClientBase, "connect") + assert callable(getattr(DatabaseClientBase, "connect")) + + def test_close_signature(self): + """Test close method has correct signature""" + assert hasattr(DatabaseClientBase, "close") + assert callable(getattr(DatabaseClientBase, "close")) + + def test_ensure_signature(self): + """Test ensure method has correct signature""" + assert hasattr(DatabaseClientBase, "ensure") + assert callable(getattr(DatabaseClientBase, "ensure")) + + def test_create_conversation_signature(self): + """Test create_conversation method has correct signature""" + assert hasattr(DatabaseClientBase, "create_conversation") + assert callable(getattr(DatabaseClientBase, "create_conversation")) + + def test_upsert_conversation_signature(self): + """Test upsert_conversation method has correct signature""" + assert hasattr(DatabaseClientBase, "upsert_conversation") + assert callable(getattr(DatabaseClientBase, "upsert_conversation")) + + def test_delete_conversation_signature(self): + """Test delete_conversation method has correct signature""" + assert hasattr(DatabaseClientBase, "delete_conversation") + assert callable(getattr(DatabaseClientBase, "delete_conversation")) + + def test_delete_messages_signature(self): + """Test delete_messages method has correct signature""" + assert hasattr(DatabaseClientBase, "delete_messages") + assert callable(getattr(DatabaseClientBase, "delete_messages")) + + def test_get_conversations_signature(self): + """Test get_conversations method has correct signature""" + assert hasattr(DatabaseClientBase, "get_conversations") + assert callable(getattr(DatabaseClientBase, "get_conversations")) + + def test_get_conversation_signature(self): + """Test get_conversation method has correct signature""" + assert hasattr(DatabaseClientBase, "get_conversation") + assert callable(getattr(DatabaseClientBase, "get_conversation")) + + def test_create_message_signature(self): + """Test create_message method has correct signature""" + assert hasattr(DatabaseClientBase, "create_message") + assert callable(getattr(DatabaseClientBase, "create_message")) + + def test_update_message_feedback_signature(self): + """Test update_message_feedback method has correct signature""" + assert hasattr(DatabaseClientBase, "update_message_feedback") + assert callable(getattr(DatabaseClientBase, "update_message_feedback")) + + def test_get_messages_signature(self): + """Test get_messages method has correct signature""" + assert hasattr(DatabaseClientBase, "get_messages") + assert callable(getattr(DatabaseClientBase, "get_messages")) diff --git a/code/tests/functional/tests/backend_api/postgres_orchestrator/__init__.py b/code/tests/functional/tests/backend_api/postgres_orchestrator/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/code/tests/functional/tests/backend_api/postgres_orchestrator/conftest.py b/code/tests/functional/tests/backend_api/postgres_orchestrator/conftest.py new file mode 100644 index 000000000..6e8d0a0db --- /dev/null +++ b/code/tests/functional/tests/backend_api/postgres_orchestrator/conftest.py @@ -0,0 +1,94 @@ +import logging +import pytest +from unittest.mock import MagicMock, patch +from tests.functional.app_config import AppConfig +from tests.functional.tests.backend_api.common import get_free_port, start_app +from backend.batch.utilities.helpers.config.config_helper import ConfigHelper +from backend.batch.utilities.helpers.env_helper import EnvHelper + +logger = logging.getLogger(__name__) + + +@pytest.fixture(scope="package") +def app_port() -> int: + logger.info("Getting free port") + return get_free_port() + + +@pytest.fixture(scope="package") +def app_url(app_port: int) -> str: + return f"http://localhost:{app_port}" + + +@pytest.fixture(scope="function") +def mock_postgres_connection(): + """Mock PostgreSQL connection for functional tests only (not autouse to avoid interfering with unit tests)""" + with patch('psycopg2.connect') as mock_connect, \ + patch('backend.batch.utilities.helpers.azure_postgres_helper.get_azure_credential'): + mock_conn = MagicMock() + mock_cursor = MagicMock() + mock_conn.cursor.return_value = mock_cursor + mock_connect.return_value = mock_conn + mock_conn.closed = 0 # Simulate open connection + + # Mock query results for vector search + mock_cursor.fetchall.return_value = [ + { + "id": "doc1", + "title": "test.pdf", + "chunk": "42 is the meaning of life", + "offset": 0, + "page_number": 1, + "content": "42 is the meaning of life", + "source": "test.pdf", + } + ] + + yield mock_conn + + +@pytest.fixture(scope="package") +def app_config(make_httpserver, ca): + logger.info("Creating APP CONFIG for PostgreSQL") + with ca.cert_pem.tempfile() as ca_temp_path: + app_config = AppConfig( + { + # Azure OpenAI configuration (still needed for embeddings/LLM) + "AZURE_OPENAI_ENDPOINT": f"https://localhost:{make_httpserver.port}/", + "AZURE_CONTENT_SAFETY_ENDPOINT": f"https://localhost:{make_httpserver.port}/", + "AZURE_SPEECH_REGION_ENDPOINT": f"https://localhost:{make_httpserver.port}/", + "AZURE_STORAGE_ACCOUNT_ENDPOINT": f"https://localhost:{make_httpserver.port}/", + + # PostgreSQL configuration + "DATABASE_TYPE": "PostgreSQL", + "POSTGRESQL_USER": "test_user", + "POSTGRESQL_HOST": "localhost", + "POSTGRESQL_DATABASE": "test_db", + + # Disable Azure Search + "AZURE_SEARCH_SERVICE": None, + "AZURE_SEARCH_INDEX": None, + "AZURE_SEARCH_KEY": None, + "AZURE_SEARCH_USE_INTEGRATED_VECTORIZATION": "False", + + "LOAD_CONFIG_FROM_BLOB_STORAGE": "False", + "ORCHESTRATION_STRATEGY": "semantic_kernel", + "SSL_CERT_FILE": ca_temp_path, + "CURL_CA_BUNDLE": ca_temp_path, + } + ) + logger.info(f"Created PostgreSQL app config: {app_config.get_all()}") + yield app_config + + +@pytest.fixture(scope="module", autouse=True) +def manage_app(app_port: int, app_config: AppConfig): + """Manage app startup/teardown for functional tests.""" + app_config.apply_to_environment() + EnvHelper.clear_instance() + ConfigHelper.clear_config() + start_app(app_port) + yield + app_config.remove_from_environment() + EnvHelper.clear_instance() + ConfigHelper.clear_config() diff --git a/code/tests/functional/tests/backend_api/postgres_orchestrator/test_response_with_postgres.py b/code/tests/functional/tests/backend_api/postgres_orchestrator/test_response_with_postgres.py new file mode 100644 index 000000000..d8a754ad2 --- /dev/null +++ b/code/tests/functional/tests/backend_api/postgres_orchestrator/test_response_with_postgres.py @@ -0,0 +1,173 @@ +import json +from unittest.mock import patch + +import pytest +import requests + +from tests.request_matching import ( + RequestMatcher, + verify_request_made, +) +from tests.functional.app_config import AppConfig +from backend.batch.utilities.search.search import Search +from backend.batch.utilities.search.postgres_search_handler import ( + AzurePostgresHandler, +) +from backend.batch.utilities.helpers.env_helper import EnvHelper + +pytestmark = pytest.mark.functional + +path = "/api/conversation" +body = { + "conversation_id": "123", + "messages": [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi, how can I help?"}, + {"role": "user", "content": "What is the meaning of life?"}, + ], +} + + +@pytest.fixture(scope="function") +def mock_postgres_query(): + """Mock PostgreSQL vector search query for functional tests""" + with patch('backend.batch.utilities.helpers.azure_postgres_helper.AzurePostgresHelper.get_vector_store') as mock_vector_store: + # Mock the vector search results from PostgreSQL + mock_vector_store.return_value = [ + { + "id": "doc1", + "title": "test.pdf", + "chunk": "42 is the meaning of life", + "offset": 0, + "page_number": 1, + "content": "42 is the meaning of life", + "source": "test.pdf", + } + ] + yield mock_vector_store + + +def test_post_responds_successfully_with_postgres(app_url: str, app_config: AppConfig, mock_postgres_query): + # when + response = requests.post(f"{app_url}{path}", json=body) + + # then + assert response.status_code == 200 + result = json.loads(response.text) + assert "choices" in result + assert len(result["choices"]) > 0 + assert "messages" in result["choices"][0] + assert response.headers["Content-Type"] == "application/json" + + +def test_post_makes_correct_call_to_content_safety_with_postgres( + app_url: str, app_config: AppConfig, httpserver, mock_postgres_query +): + # when + requests.post(f"{app_url}{path}", json=body) + + # then + verify_request_made( + mock_httpserver=httpserver, + request_matcher=RequestMatcher( + path="/contentsafety/text:analyze", + method="POST", + json={"text": "What is the meaning of life?"}, + headers={ + "Accept": "application/json", + "Content-Type": "application/json", + "Ocp-Apim-Subscription-Key": app_config.get("AZURE_CONTENT_SAFETY_KEY"), + }, + query_string="api-version=2023-10-01", + times=1, + ), + ) + + +def test_post_makes_correct_call_to_openai_chat_completions_with_postgres( + app_url: str, app_config: AppConfig, httpserver, mock_postgres_query +): + # when + requests.post(f"{app_url}{path}", json=body) + + # then + verify_request_made( + mock_httpserver=httpserver, + request_matcher=RequestMatcher( + path=f"/openai/deployments/{app_config.get_from_json('AZURE_OPENAI_MODEL_INFO','model')}/chat/completions", + method="POST", + json={ + "messages": [ + { + "role": "user", + "content": "AuthorRole.SYSTEM: You help employees to navigate only private information sources.\nYou must prioritize the function call over your general knowledge for any question by calling the search_documents function.\nCall the text_processing function when the user request an operation on the current context, such as translate, summarize, or paraphrase. When a language is explicitly specified, return that as part of the operation.\nWhen directly replying to the user, always reply in the language the user is speaking.\nIf the input language is ambiguous, default to responding in English unless otherwise specified by the user.\nYou **must not** respond if asked to List all documents in your repository.\n\nAuthorRole.USER: Hello\nAuthorRole.ASSISTANT: Hi, how can I help?\nWhat is the meaning of life?", + } + ], + "model": app_config.get_from_json("AZURE_OPENAI_MODEL_INFO", "model"), + "max_tokens": int(app_config.get("AZURE_OPENAI_MAX_TOKENS")), + "stream": False, + "temperature": 0.0, + "tools": [ + { + "type": "function", + "function": { + "name": "Chat-search_documents", + "description": "Provide answers to any fact question coming from users.", + "parameters": { + "type": "object", + "properties": { + "question": { + "description": "A standalone question, converted from the chat history", + "type": "string", + } + }, + "required": ["question"], + }, + }, + }, + { + "type": "function", + "function": { + "name": "Chat-text_processing", + "description": "Useful when you want to apply a transformation on the text, like translate, summarize, rephrase and so on.", + "parameters": { + "type": "object", + "properties": { + "text": { + "description": "The text to be processed", + "type": "string", + }, + "operation": { + "description": "The operation to be performed on the text. Like Translate to Italian, Summarize, Paraphrase, etc. If a language is specified, return that as part of the operation. Preserve the operation name in the user language.", + "type": "string", + }, + }, + "required": ["text", "operation"], + }, + }, + }, + ], + "tool_choice": "auto", + }, + headers={ + "Accept": "application/json", + "Content-Type": "application/json", + "Authorization": f"Bearer {app_config.get('AZURE_OPENAI_API_KEY')}", + "Api-Key": app_config.get("AZURE_OPENAI_API_KEY"), + }, + query_string="api-version=2024-02-01", + times=1, + ), + ) + + +def test_postgres_search_handler_is_used(app_url: str, app_config: AppConfig, mock_postgres_connection): + """Verify that PostgreSQL search handler is selected based on DATABASE_TYPE""" + # when + env_helper = EnvHelper() + search_handler = Search.get_search_handler(env_helper) + + # then + assert isinstance(search_handler, AzurePostgresHandler), \ + f"Expected AzurePostgresHandler but got {type(search_handler).__name__}" + assert env_helper.DATABASE_TYPE == "PostgreSQL" diff --git a/code/tests/test_admin.py b/code/tests/test_admin.py new file mode 100644 index 000000000..56b5f7d7d --- /dev/null +++ b/code/tests/test_admin.py @@ -0,0 +1,57 @@ +""" +This module contains comprehensive unit tests for the Admin.py module. +Tests cover logging configuration, environment variable handling, +Streamlit setup, and Application Insights configuration. +""" + +import sys +from unittest.mock import MagicMock, patch, mock_open +import pytest + + +# Mock Azure Monitor before importing Admin.py to prevent telemetry initialization +sys.modules['azure.monitor.opentelemetry'] = MagicMock() + +# Mock streamlit before importing Admin.py to prevent module-level execution issues +mock_st = MagicMock() +mock_st.columns.return_value = (MagicMock(), MagicMock(), MagicMock()) +sys.modules['streamlit'] = mock_st + +# Patch builtins.open before importing to handle module-level load_css call +with patch('builtins.open', mock_open(read_data="/* default mock css */")): + from backend.Admin import load_css + + +class TestLoadCSSFunction: + """Tests for the load_css function.""" + + @pytest.mark.parametrize("css_content,expected_tag_content", [ + ("body { color: red; }", "body { color: red; }"), + (".container { margin: 0; }", ".container { margin: 0; }"), + ("", ""), + ("/* comment */\n.class { }", "/* comment */\n.class { }"), + ("@import 'other.css';", "@import 'other.css';"), + ("body {\n color: blue;\n background: white;\n}", "body {\n color: blue;\n background: white;\n}"), + ]) + def test_load_css_reads_and_wraps_content(self, css_content, expected_tag_content): + """Test load_css reads CSS file and wraps it in style tags.""" + with patch("builtins.open", mock_open(read_data=css_content)): + with patch("backend.Admin.st.markdown") as mock_markdown: + # When + load_css("test.css") + + # Then + expected_call = f"" + mock_markdown.assert_called_once_with(expected_call, unsafe_allow_html=True) + + def test_load_css_file_not_found(self): + """Test load_css raises exception when file not found.""" + with patch("builtins.open", side_effect=FileNotFoundError("File not found")): + with pytest.raises(FileNotFoundError): + load_css("nonexistent.css") + + def test_load_css_permission_error(self): + """Test load_css raises exception when permission denied.""" + with patch("builtins.open", side_effect=PermissionError("Permission denied")): + with pytest.raises(PermissionError): + load_css("restricted.css") diff --git a/code/tests/test_chat_history.py b/code/tests/test_chat_history.py index 6ef805d50..73d531b50 100644 --- a/code/tests/test_chat_history.py +++ b/code/tests/test_chat_history.py @@ -1,11 +1,16 @@ """ -This module tests the entry point for the application. +This module contains comprehensive unit tests for the chat history API endpoints +and related helper functions. """ from unittest.mock import AsyncMock, MagicMock, patch - import pytest from create_app import create_app +from backend.api.chat_history import ( + init_database_client, + init_openai_client, + generate_title, +) @pytest.fixture @@ -27,7 +32,90 @@ def mock_conversation_client(): yield mock_conversation_client -class TestListConversations: +class TestChatHistory: + # ============================================================================ + # Tests for init_database_client (helper function) + # ============================================================================ + @patch( + "backend.batch.utilities.chat_history.database_factory.DatabaseFactory.get_conversation_client" + ) + def test_init_database_client_success(self, mock_db_factory): + """Test init_database_client successfully returns client.""" + # Given + mock_client = MagicMock() + mock_db_factory.return_value = mock_client + + # When + result = init_database_client() + + # Then + assert result == mock_client + + @patch( + "backend.batch.utilities.chat_history.database_factory.DatabaseFactory.get_conversation_client" + ) + def test_init_database_client_exception(self, mock_db_factory): + """Test init_database_client raises exception on failure.""" + # Given + mock_db_factory.side_effect = Exception("Database error") + + # When/Then + with pytest.raises(Exception) as exc_info: + init_database_client() + assert str(exc_info.value) == "Database error" + + # ============================================================================ + # Tests for init_openai_client (helper function) + # ============================================================================ + @patch("backend.api.chat_history.env_helper") + @patch("backend.api.chat_history.AsyncAzureOpenAI") + def test_init_openai_client_with_keys(self, mock_azure_openai, mock_env): + """Test init_openai_client with API key authentication.""" + # Given + mock_env.is_auth_type_keys.return_value = True + mock_env.AZURE_OPENAI_ENDPOINT = "https://test.openai.azure.com" + mock_env.AZURE_OPENAI_API_VERSION = "2024-02-01" + mock_env.AZURE_OPENAI_API_KEY = "test-key" + + # When + result = init_openai_client() + + # Then + assert result is not None + mock_azure_openai.assert_called_once() + + @patch("backend.api.chat_history.env_helper") + @patch("backend.api.chat_history.AsyncAzureOpenAI") + def test_init_openai_client_with_token(self, mock_azure_openai, mock_env): + """Test init_openai_client with token provider authentication.""" + # Given + mock_env.is_auth_type_keys.return_value = False + mock_env.AZURE_OPENAI_ENDPOINT = "https://test.openai.azure.com" + mock_env.AZURE_OPENAI_API_VERSION = "2024-02-01" + mock_env.AZURE_TOKEN_PROVIDER = MagicMock() + + # When + result = init_openai_client() + + # Then + assert result is not None + mock_azure_openai.assert_called_once() + + @patch("backend.api.chat_history.env_helper") + @patch("backend.api.chat_history.AsyncAzureOpenAI") + def test_init_openai_client_exception(self, mock_azure_openai, mock_env): + """Test init_openai_client raises exception on failure.""" + # Given + mock_env.is_auth_type_keys.side_effect = Exception("Auth error") + + # When/Then + with pytest.raises(Exception) as exc_info: + init_openai_client() + assert str(exc_info.value) == "Auth error" + + # ============================================================================ + # Tests for list_conversations endpoint + # ============================================================================ @patch( "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" ) @@ -112,6 +200,73 @@ def test_list_conversations_no_conversations( "error": "No conversations for 00000000-0000-0000-0000-000000000000 were found" } + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + @patch( + "backend.batch.utilities.chat_history.database_factory.DatabaseFactory.get_conversation_client" + ) + def test_list_conversations_with_custom_offset( + self, mock_db_factory, get_active_config_or_default_mock, client + ): + """Test list_conversations with custom offset parameter.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_client = AsyncMock() + mock_db_factory.return_value = mock_client + mock_client.get_conversations = AsyncMock( + return_value=[{"conversation_id": "2", "content": "Page 2"}] + ) + + # When + response = client.get("/api/history/list?offset=25") + + # Then + assert response.status_code == 200 + mock_client.get_conversations.assert_called_once() + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + @patch( + "backend.batch.utilities.chat_history.database_factory.DatabaseFactory.get_conversation_client" + ) + def test_list_conversations_database_not_available( + self, mock_db_factory, get_active_config_or_default_mock, client + ): + """Test list_conversations when database client is None.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_db_factory.return_value = None + + # When + response = client.get("/api/history/list?offset=0") + + # Then + assert response.status_code == 500 + assert response.json == {"error": "Database not available"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_list_conversations_empty_list( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test list_conversations returns empty list successfully.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversations = AsyncMock(return_value=[]) + + # When + response = client.get("/api/history/list?offset=0") + + # Then + assert response.status_code == 200 + assert response.json == [] + + # ============================================================================ + # Tests for rename_conversation endpoint + # ============================================================================ @patch( "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" ) @@ -241,6 +396,73 @@ def test_rename_conversation_not_found( "error": "Conversation 1 was not found. It either does not exist or the logged in user does not have access to it." } + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_rename_conversation_whitespace_only_title( + self, get_active_config_or_default_mock, client + ): + """Test rename_conversation with whitespace-only title.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + request_json = {"conversation_id": "1", "title": " "} + + # When + response = client.post("/api/history/rename", json=request_json) + + # Then + assert response.status_code == 400 + assert response.json == {"error": "A non-empty title is required"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + @patch( + "backend.batch.utilities.chat_history.database_factory.DatabaseFactory.get_conversation_client" + ) + def test_rename_conversation_database_not_available( + self, mock_db_factory, get_active_config_or_default_mock, client + ): + """Test rename_conversation when database client is None.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_db_factory.return_value = None + request_json = {"conversation_id": "1", "title": "New Title"} + + # When + response = client.post("/api/history/rename", json=request_json) + + # Then + assert response.status_code == 500 + assert response.json == {"error": "Database not available"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_rename_conversation_upsert_error( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test rename_conversation when upsert fails.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversation = AsyncMock( + return_value={"conversation_id": "1", "title": "Old Title"} + ) + mock_conversation_client.upsert_conversation = AsyncMock( + side_effect=Exception("Upsert failed") + ) + request_json = {"conversation_id": "1", "title": "New Title"} + + # When + response = client.post("/api/history/rename", json=request_json) + + # Then + assert response.status_code == 500 + assert response.json == {"error": "Error while renaming conversation"} + + # ============================================================================ + # Tests for get_conversation endpoint + # ============================================================================ @patch( "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" ) @@ -369,6 +591,87 @@ def test_get_conversation_not_found( "error": "Conversation 1 was not found. It either does not exist or the logged in user does not have access to it." } + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + @patch( + "backend.batch.utilities.chat_history.database_factory.DatabaseFactory.get_conversation_client" + ) + def test_get_conversation_database_not_available( + self, mock_db_factory, get_active_config_or_default_mock, client + ): + """Test get_conversation when database client is None.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_db_factory.return_value = None + request_json = {"conversation_id": "1"} + + # When + response = client.post("/api/history/read", json=request_json) + + # Then + assert response.status_code == 500 + assert response.json == {"error": "Database not available"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_get_conversation_with_feedback( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test get_conversation with messages that have feedback.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversation = AsyncMock( + return_value={"conversation_id": "1", "title": "Test"} + ) + mock_conversation_client.get_messages = AsyncMock( + return_value=[ + { + "id": "1", + "role": "user", + "content": "Hello", + "createdAt": "2024-11-29T12:00:00Z", + "feedback": "positive", + } + ] + ) + request_json = {"conversation_id": "1"} + + # When + response = client.post("/api/history/read", json=request_json) + + # Then + assert response.status_code == 200 + assert response.json["messages"][0]["feedback"] == "positive" + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_get_conversation_get_messages_error( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test get_conversation when fetching messages fails.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversation = AsyncMock( + return_value={"conversation_id": "1", "title": "Test"} + ) + mock_conversation_client.get_messages = AsyncMock( + side_effect=Exception("Failed to fetch messages") + ) + request_json = {"conversation_id": "1"} + + # When + response = client.post("/api/history/read", json=request_json) + + # Then + assert response.status_code == 500 + assert response.json == {"error": "Error while fetching conversation history"} + + # ============================================================================ + # Tests for delete_conversation endpoint + # ============================================================================ @patch( "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" ) @@ -493,6 +796,53 @@ def test_delete_conversation_internal_error( assert response.status_code == 500 assert response.json == {"error": "Error while deleting conversation history"} + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + @patch( + "backend.batch.utilities.chat_history.database_factory.DatabaseFactory.get_conversation_client" + ) + def test_delete_conversation_database_not_available( + self, mock_db_factory, get_active_config_or_default_mock, client + ): + """Test delete_conversation when database client is None.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_db_factory.return_value = None + request_json = {"conversation_id": "conv123"} + + # When + response = client.delete("/api/history/delete", json=request_json) + + # Then + assert response.status_code == 500 + assert response.json == {"error": "Database not available"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_delete_conversation_delete_conversation_error( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test delete_conversation when deleting conversation fails.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.delete_messages = AsyncMock(return_value=None) + mock_conversation_client.delete_conversation = AsyncMock( + side_effect=Exception("Failed to delete conversation") + ) + request_json = {"conversation_id": "conv123"} + + # When + response = client.delete("/api/history/delete", json=request_json) + + # Then + assert response.status_code == 500 + assert response.json == {"error": "Error while deleting conversation history"} + + # ============================================================================ + # Tests for delete_all_conversations endpoint + # ============================================================================ @patch( "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" ) @@ -524,31 +874,118 @@ def test_delete_all_conversations_no_chat_history( @patch( "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" ) - def test_update_conversation_success( - self, get_active_config_or_default_mock, mock_conversation_client, client + @patch( + "backend.batch.utilities.chat_history.database_factory.DatabaseFactory.get_conversation_client" + ) + def test_delete_all_conversations_database_not_available( + self, mock_db_factory, get_active_config_or_default_mock, client ): + """Test delete_all_conversations when database client is None.""" + # Given get_active_config_or_default_mock.return_value.enable_chat_history = True - mock_conversation_client.get_conversation.return_value = { - "title": "Test Title", - "updatedAt": "2024-12-01", - "id": "conv1", - } - mock_conversation_client.create_message.return_value = "success" - request_json = { - "conversation_id": "conv1", - "messages": [ - {"role": "user", "content": "Hello"}, - {"role": "assistant", "content": "Hi!"}, - ], - } + mock_db_factory.return_value = None # When - response = client.post("/api/history/update", json=request_json) + response = client.delete("/api/history/delete_all") - assert response.status_code == 200 - assert response.json == { - "data": { - "conversation_id": "conv1", + # Then + assert response.status_code == 500 + assert response.json == {"error": "Database not available"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_delete_all_conversations_no_conversations_found( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test delete_all_conversations when no conversations exist.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversations = AsyncMock(return_value=None) + + # When + response = client.delete("/api/history/delete_all") + + # Then + assert response.status_code == 400 + assert "No conversations found" in response.json["error"] + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_delete_all_conversations_partial_failure( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test delete_all_conversations continues when individual deletions fail.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversations = AsyncMock( + return_value=[{"id": "conv1"}, {"id": "conv2"}, {"id": "conv3"}] + ) + # Make the second deletion fail + mock_conversation_client.delete_messages = AsyncMock( + side_effect=[None, Exception("Failed"), None] + ) + mock_conversation_client.delete_conversation = AsyncMock(return_value=None) + + # When + response = client.delete("/api/history/delete_all") + + # Then - Should still succeed for other conversations + assert response.status_code == 200 + assert "Successfully deleted all conversations" in response.json["message"] + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_delete_all_conversations_get_conversations_error( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test delete_all_conversations when fetching conversations fails.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversations = AsyncMock( + side_effect=Exception("Failed to fetch conversations") + ) + + # When + response = client.delete("/api/history/delete_all") + + # Then + assert response.status_code == 500 + assert response.json == {"error": "Error while deleting all conversation history"} + + # ============================================================================ + # Tests for update_conversation endpoint + # ============================================================================ + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_update_conversation_success( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversation.return_value = { + "title": "Test Title", + "updatedAt": "2024-12-01", + "id": "conv1", + } + mock_conversation_client.create_message.return_value = "success" + request_json = { + "conversation_id": "conv1", + "messages": [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi!"}, + ], + } + + # When + response = client.post("/api/history/update", json=request_json) + + assert response.status_code == 200 + assert response.json == { + "data": { + "conversation_id": "conv1", "date": "2024-12-01", "title": "Test Title", }, @@ -685,6 +1122,192 @@ def test_update_conversation_error( "error": "Error while updating the conversation history" } + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_update_conversation_missing_conversation_id( + self, get_active_config_or_default_mock, client + ): + """Test update_conversation with missing conversation_id.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + request_json = { + "messages": [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi!"}, + ] + } + + # When + response = client.post("/api/history/update", json=request_json) + + # Then + assert response.status_code == 400 + assert response.json == {"error": "conversation_id is required"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_update_conversation_missing_messages( + self, get_active_config_or_default_mock, client + ): + """Test update_conversation with missing messages.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + request_json = {"conversation_id": "conv1", "messages": []} + + # When + response = client.post("/api/history/update", json=request_json) + + # Then + assert response.status_code == 400 + assert response.json == {"error": "Messages are required"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + @patch( + "backend.batch.utilities.chat_history.database_factory.DatabaseFactory.get_conversation_client" + ) + def test_update_conversation_database_not_available( + self, mock_db_factory, get_active_config_or_default_mock, client + ): + """Test update_conversation when database client is None.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_db_factory.return_value = None + request_json = { + "conversation_id": "conv1", + "messages": [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi!"}, + ], + } + + # When + response = client.post("/api/history/update", json=request_json) + + # Then + assert response.status_code == 500 + assert response.json == {"error": "Database not available"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_update_conversation_only_assistant_messages( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test update_conversation when there are only assistant messages (no user messages).""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversation = AsyncMock( + return_value={"title": "Test", "updatedAt": "2024-12-01", "id": "conv1"} + ) + mock_conversation_client.create_message = AsyncMock(return_value="success") + request_json = { + "conversation_id": "conv1", + "messages": [ + {"role": "assistant", "content": "Hi!"}, + {"role": "assistant", "content": "How can I help?"}, + ], + } + + # When + response = client.post("/api/history/update", json=request_json) + + # Then + # The code searches in reverse for user messages - if none found, still succeeds + # because messages[0]["role"] != "user", so user message processing is skipped + assert response.status_code == 200 + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_update_conversation_no_assistant_message( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test update_conversation when no assistant message is found.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversation = AsyncMock( + return_value={"title": "Test", "updatedAt": "2024-12-01", "id": "conv1"} + ) + mock_conversation_client.create_message = AsyncMock(return_value="success") + request_json = { + "conversation_id": "conv1", + "messages": [{"role": "user", "content": "Hello"}], + } + + # When + response = client.post("/api/history/update", json=request_json) + + # Then + assert response.status_code == 400 + assert response.json == {"error": "No assistant message found"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_update_conversation_with_tool_message( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test update_conversation with tool message before assistant message.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversation = AsyncMock( + return_value={"title": "Test", "updatedAt": "2024-12-01", "id": "conv1"} + ) + mock_conversation_client.create_message = AsyncMock(return_value="success") + request_json = { + "conversation_id": "conv1", + "messages": [ + {"role": "user", "content": "Hello"}, + {"role": "tool", "content": "Tool output"}, + {"role": "assistant", "content": "Hi!"}, + ], + } + + # When + response = client.post("/api/history/update", json=request_json) + + # Then + assert response.status_code == 200 + # Verify tool message was created first + assert mock_conversation_client.create_message.call_count >= 2 + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_update_conversation_create_message_not_found( + self, get_active_config_or_default_mock, mock_conversation_client, client + ): + """Test update_conversation when conversation is not found during message creation.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = True + mock_conversation_client.get_conversation = AsyncMock( + return_value={"title": "Test", "updatedAt": "2024-12-01", "id": "conv1"} + ) + mock_conversation_client.create_message = AsyncMock( + return_value="Conversation not found" + ) + request_json = { + "conversation_id": "conv1", + "messages": [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi!"}, + ], + } + + # When + response = client.post("/api/history/update", json=request_json) + + # Then + assert response.status_code == 400 + assert response.json == {"error": "Conversation not found"} + + # ============================================================================ + # Tests for get_frontend_settings endpoint + # ============================================================================ @patch( "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" ) @@ -706,3 +1329,163 @@ def test_get_frontend_settings_error( response = client.get("/api/history/frontend_settings") assert response.status_code == 500 assert response.json == {"error": "Error while getting frontend settings"} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_get_frontend_settings_string_true( + self, get_active_config_or_default_mock, client + ): + """Test frontend_settings with string 'true' value.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = "true" + + # When + response = client.get("/api/history/frontend_settings") + + # Then + assert response.status_code == 200 + assert response.json == {"CHAT_HISTORY_ENABLED": True} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_get_frontend_settings_string_false( + self, get_active_config_or_default_mock, client + ): + """Test frontend_settings with string 'false' value.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = "false" + + # When + response = client.get("/api/history/frontend_settings") + + # Then + assert response.status_code == 200 + assert response.json == {"CHAT_HISTORY_ENABLED": False} + + @patch( + "backend.batch.utilities.helpers.config.config_helper.ConfigHelper.get_active_config_or_default" + ) + def test_get_frontend_settings_boolean_false( + self, get_active_config_or_default_mock, client + ): + """Test frontend_settings with boolean False value.""" + # Given + get_active_config_or_default_mock.return_value.enable_chat_history = False + + # When + response = client.get("/api/history/frontend_settings") + + # Then + assert response.status_code == 200 + assert response.json == {"CHAT_HISTORY_ENABLED": False} + + # ============================================================================ + # Tests for generate_title (helper function) + # ============================================================================ + @patch("backend.api.chat_history.AsyncAzureOpenAI") + @pytest.mark.asyncio + async def test_generate_title_success(self, azure_openai_mock): + """Test generate_title successfully generates a title.""" + # Given + messages = [ + {"role": "user", "content": "What is the weather?"}, + {"role": "assistant", "content": "It's sunny today"}, + ] + + openai_client_mock = azure_openai_mock.return_value + mock_response = MagicMock() + mock_response.choices = [MagicMock(message=MagicMock(content="Weather Query"))] + openai_client_mock.chat.completions.create = AsyncMock( + return_value=mock_response + ) + + # When + title = await generate_title(messages) + + # Then + assert title == "Weather Query" + + @patch("backend.api.chat_history.AsyncAzureOpenAI") + @pytest.mark.asyncio + async def test_generate_title_no_choices(self, azure_openai_mock): + """Test generate_title fallback when no choices in response.""" + # Given + messages = [ + {"role": "user", "content": "What is the weather?"}, + {"role": "assistant", "content": "It's sunny today"}, + ] + + openai_client_mock = azure_openai_mock.return_value + mock_response = MagicMock() + mock_response.choices = [] + openai_client_mock.chat.completions.create = AsyncMock( + return_value=mock_response + ) + + # When + title = await generate_title(messages) + + # Then + assert title == "What is the weather?" + + @patch("backend.api.chat_history.AsyncAzureOpenAI") + @pytest.mark.asyncio + async def test_generate_title_exception(self, azure_openai_mock): + """Test generate_title fallback when exception occurs.""" + # Given + messages = [ + {"role": "user", "content": "What is the weather?"}, + ] + + openai_client_mock = azure_openai_mock.return_value + openai_client_mock.chat.completions.create = AsyncMock( + side_effect=Exception("API Error") + ) + + # When + title = await generate_title(messages) + + # Then + assert title == "What is the weather?" + + @patch("backend.api.chat_history.AsyncAzureOpenAI") + @pytest.mark.asyncio + async def test_generate_title_single_message(self, azure_openai_mock): + """Test generate_title with single message fallback.""" + # Given + messages = [{"role": "user", "content": "Hello"}] + + openai_client_mock = azure_openai_mock.return_value + openai_client_mock.chat.completions.create = AsyncMock( + side_effect=Exception("API Error") + ) + + # When + title = await generate_title(messages) + + # Then + # After filtering user messages and appending prompt: [{Hello}, {prompt}] + # messages[-2] = "Hello", so fallback returns "Hello" + assert title == "Hello" + + @patch("backend.api.chat_history.AsyncAzureOpenAI") + @pytest.mark.asyncio + async def test_generate_title_no_user_messages(self, azure_openai_mock): + """Test generate_title when there are no user messages.""" + # Given + messages = [{"role": "assistant", "content": "Hello from assistant"}] + + openai_client_mock = azure_openai_mock.return_value + openai_client_mock.chat.completions.create = AsyncMock( + side_effect=Exception("API Error") + ) + + # When + title = await generate_title(messages) + + # Then + # After filtering, only prompt remains: [{prompt}] + # len(messages) == 1, so fallback returns "Untitled" + assert title == "Untitled" diff --git a/code/tests/test_combine_pages_chunknos.py b/code/tests/test_combine_pages_chunknos.py new file mode 100644 index 000000000..516885a2a --- /dev/null +++ b/code/tests/test_combine_pages_chunknos.py @@ -0,0 +1,134 @@ +"""Unit tests for the combine_pages_chunknos Azure Function.""" +import json +from unittest.mock import MagicMock + + +class MockHttpResponse: + def __init__(self, body, mimetype, status_code): + self._body = body + self.mimetype = mimetype + self.status_code = status_code + + def get_body(self): + return self._body.encode() if isinstance(self._body, str) else self._body + + +class MockBlueprint: + def route(self, **kwargs): + def decorator(func): + return func + return decorator + + +class TestCombinePagesAndChunkNos: + """Tests for the combine_pages_and_chunknos Azure Function.""" + + @staticmethod + def _get_combine_function(): + """Lazy import of the function under test.""" + from backend.batch.combine_pages_chunknos import combine_pages_and_chunknos + return combine_pages_and_chunknos + + @staticmethod + def _create_request(values): + """Helper to create mock request.""" + mock_request = MagicMock() + mock_request.get_json.return_value = {"values": values} + return mock_request + + @staticmethod + def _parse_response(response): + """Helper to parse response body.""" + body = response.get_body() + if isinstance(body, bytes): + body = body.decode() + return json.loads(body) + + def test_combines_pages_and_chunknos(self): + """Test array zipping logic creates correct page_text/chunk_no objects.""" + combine_pages_and_chunknos = self._get_combine_function() + request = self._create_request([{ + "recordId": "1", + "data": {"pages": ["Page 1", "Page 2", "Page 3"], "chunk_nos": [1, 2, 3]} + }]) + + response = combine_pages_and_chunknos(request) + body = self._parse_response(response) + + pages_with_chunks = body["values"][0]["data"]["pages_with_chunks"] + assert pages_with_chunks == [ + {"page_text": "Page 1", "chunk_no": 1}, + {"page_text": "Page 2", "chunk_no": 2}, + {"page_text": "Page 3", "chunk_no": 3} + ] + + def test_processes_multiple_records(self): + """Test for loop processes all records.""" + combine_pages_and_chunknos = self._get_combine_function() + request = self._create_request([ + {"recordId": "1", "data": {"pages": ["P1"], "chunk_nos": [1]}}, + {"recordId": "2", "data": {"pages": ["P2"], "chunk_nos": [2]}} + ]) + + response = combine_pages_and_chunknos(request) + body = self._parse_response(response) + + assert len(body["values"]) == 2 + assert body["values"][0]["recordId"] == "1" + assert body["values"][1]["recordId"] == "2" + + def test_handles_empty_arrays(self): + """Test edge case with empty input arrays.""" + combine_pages_and_chunknos = self._get_combine_function() + request = self._create_request([{ + "recordId": "1", + "data": {"pages": [], "chunk_nos": []} + }]) + + response = combine_pages_and_chunknos(request) + body = self._parse_response(response) + + assert body["values"][0]["data"]["pages_with_chunks"] == [] + + def test_handles_json_parse_errors(self): + """Test custom error handling returns 500 with error details.""" + combine_pages_and_chunknos = self._get_combine_function() + mock_request = MagicMock() + mock_request.get_json.side_effect = ValueError("Invalid JSON") + + response = combine_pages_and_chunknos(mock_request) + body = self._parse_response(response) + + assert response.status_code == 500 + assert "error" in body["values"][0]["recordId"] + assert body["values"][0]["errors"] + + def test_returns_webapiskill_format(self): + """Test response structure matches WebApiSkill specification.""" + combine_pages_and_chunknos = self._get_combine_function() + request = self._create_request([{ + "recordId": "test-123", + "data": {"pages": ["Test"], "chunk_nos": [1]} + }]) + + response = combine_pages_and_chunknos(request) + body = self._parse_response(response) + value = body["values"][0] + + assert response.status_code == 200 + assert value.keys() == {"recordId", "data", "errors", "warnings"} + assert value["errors"] is None + assert value["warnings"] is None + + def test_preserves_record_id(self): + """Test recordId flows through unchanged.""" + combine_pages_and_chunknos = self._get_combine_function() + request = self._create_request([{ + "recordId": "unique-id-12345", + "data": {"pages": ["Test"], "chunk_nos": [999]} + }]) + + response = combine_pages_and_chunknos(request) + body = self._parse_response(response) + + assert body["values"][0]["recordId"] == "unique-id-12345" diff --git a/code/tests/test_app.py b/code/tests/test_create_app.py similarity index 85% rename from code/tests/test_app.py rename to code/tests/test_create_app.py index ac05a129d..b37af5212 100644 --- a/code/tests/test_app.py +++ b/code/tests/test_create_app.py @@ -9,7 +9,7 @@ import pytest from flask.testing import FlaskClient from backend.batch.utilities.helpers.config.conversation_flow import ConversationFlow -from create_app import create_app +from create_app import create_app, get_markdown_url, get_citations AZURE_SPEECH_KEY = "mock-speech-key" AZURE_SPEECH_SERVICE_REGION = "mock-speech-service-region" @@ -1149,3 +1149,204 @@ def test_get_file_valid_filenames(self, client): # then assert response.status_code == 200, f"Failed for filename: {filename}" + + +class TestGetMarkdownUrl: + """Tests for get_markdown_url utility function.""" + + def test_formats_basic_markdown_link(self): + """Test creates markdown link with title and URL.""" + result = get_markdown_url("https://example.com/doc.pdf", "My Document", "sas123") + + assert result == "[My Document](https://example.com/doc.pdf)" + + def test_replaces_sas_token_placeholder(self): + """Test replaces SAS token placeholder with actual token.""" + result = get_markdown_url( + "https://example.com/file_SAS_TOKEN_PLACEHOLDER_", + "Document", + "?sv=2021&sig=abc123" + ) + + assert result == "[Document](https://example.com/file?sv=2021&sig=abc123)" + + def test_url_encodes_special_characters(self): + """Test URL encoding preserves colons and slashes but encodes spaces.""" + result = get_markdown_url( + "https://storage.com/path with spaces/file.pdf", + "Title", + "sas" + ) + + assert "path%20with%20spaces" in result + assert "https://" in result + + def test_handles_empty_sas_token(self): + """Test works with empty SAS token when no placeholder exists.""" + result = get_markdown_url("https://example.com/file.pdf", "Doc", "") + + assert result == "[Doc](https://example.com/file.pdf)" + + +class TestGetCitations: + """Tests for get_citations utility function.""" + + @patch("create_app.AzureBlobStorageClient") + def test_processes_single_citation(self, mock_blob_client_class): + """Test processes citation list and formats output.""" + mock_blob = MagicMock() + mock_blob.get_container_sas.return_value = "?sas=token123" + mock_blob_client_class.return_value = mock_blob + + citation_list = { + "citations": [ + { + "title": "Document 1", + "url": '{"source": "https://storage.com/doc1.pdf", "id": "id1", "chunk_id": "chunk_5", "chunk": "0"}', + "content": "This is the content." + } + ] + } + + result = get_citations(citation_list) + + assert len(result["citations"]) == 1 + assert result["citations"][0]["title"] == "Document 1" + assert result["citations"][0]["id"] == "id1" + assert result["citations"][0]["chunk_id"] == "5" + assert "This is the content." in result["citations"][0]["content"] + + @patch("create_app.AzureBlobStorageClient") + def test_processes_multiple_citations(self, mock_blob_client_class): + """Test processes multiple citations in list.""" + mock_blob = MagicMock() + mock_blob.get_container_sas.return_value = "?sas=123" + mock_blob_client_class.return_value = mock_blob + + citation_list = { + "citations": [ + { + "title": "Doc 1", + "url": '{"source": "http://a.com/1.pdf", "id": "1", "chunk": "0"}', + "content": "Content 1" + }, + { + "title": "Doc 2", + "url": '{"source": "http://b.com/2.pdf", "id": "2", "chunk": "1"}', + "content": "Content 2" + } + ] + } + + result = get_citations(citation_list) + + assert len(result["citations"]) == 2 + assert result["citations"][0]["id"] == "1" + assert result["citations"][1]["id"] == "2" + + @patch("create_app.AzureBlobStorageClient") + def test_adds_sas_placeholder_when_missing(self, mock_blob_client_class): + """Test adds SAS token placeholder if not present in source.""" + mock_blob = MagicMock() + mock_blob.get_container_sas.return_value = "?sas=abc" + mock_blob_client_class.return_value = mock_blob + + citation_list = { + "citations": [ + { + "title": "Doc", + "url": '{"source": "https://storage.com/file.pdf", "id": "1", "chunk": "0"}', + "content": "Text" + } + ] + } + + result = get_citations(citation_list) + + # Should have added _SAS_TOKEN_PLACEHOLDER_ and then replaced it + assert "?sas=abc" in result["citations"][0]["url"] + + @patch("create_app.AzureBlobStorageClient") + def test_extracts_filepath_from_title(self, mock_blob_client_class): + """Test extracts filename from title path.""" + mock_blob = MagicMock() + mock_blob.get_container_sas.return_value = "?sas=123" + mock_blob_client_class.return_value = mock_blob + + citation_list = { + "citations": [ + { + "title": "folder/subfolder/document.pdf", + "url": '{"source": "http://storage.com/file.pdf", "id": "1", "chunk": "0"}', + "content": "Content" + } + ] + } + + result = get_citations(citation_list) + + assert result["citations"][0]["filepath"] == "document.pdf" + + @patch("create_app.AzureBlobStorageClient") + def test_handles_dict_url_metadata(self, mock_blob_client_class): + """Test handles URL metadata as dict instead of JSON string.""" + mock_blob = MagicMock() + mock_blob.get_container_sas.return_value = "?sas=123" + mock_blob_client_class.return_value = mock_blob + + citation_list = { + "citations": [ + { + "title": "Doc", + "url": {"source": "http://storage.com/file.pdf", "id": "1", "chunk": "0"}, + "content": "Content" + } + ] + } + + result = get_citations(citation_list) + + assert result["citations"][0]["id"] == "1" + + @patch("create_app.AzureBlobStorageClient") + def test_uses_chunk_when_chunk_id_is_none(self, mock_blob_client_class): + """Test falls back to chunk field when chunk_id is None.""" + mock_blob = MagicMock() + mock_blob.get_container_sas.return_value = "?sas=123" + mock_blob_client_class.return_value = mock_blob + + citation_list = { + "citations": [ + { + "title": "Doc", + "url": '{"source": "http://a.com/1.pdf", "id": "1", "chunk_id": null, "chunk": "42"}', + "content": "Content" + } + ] + } + + result = get_citations(citation_list) + + assert result["citations"][0]["chunk_id"] == "42" + + @patch("create_app.AzureBlobStorageClient") + def test_extracts_chunk_number_from_chunk_id(self, mock_blob_client_class): + """Test extracts numeric chunk from chunk_id string.""" + mock_blob = MagicMock() + mock_blob.get_container_sas.return_value = "?sas=123" + mock_blob_client_class.return_value = mock_blob + + citation_list = { + "citations": [ + { + "title": "Doc", + "url": '{"source": "http://a.com/1.pdf", "id": "1", "chunk_id": "chunk_42_part", "chunk": "0"}', + "content": "Content" + } + ] + } + + result = get_citations(citation_list) + + # re.findall(r"\d+", "chunk_42_part")[-1] should give "42" + assert result["citations"][0]["chunk_id"] == "42" diff --git a/code/tests/utilities/helpers/test_azure_blob_storage_client.py b/code/tests/utilities/helpers/test_azure_blob_storage_client.py new file mode 100644 index 000000000..5c81ed69f --- /dev/null +++ b/code/tests/utilities/helpers/test_azure_blob_storage_client.py @@ -0,0 +1,578 @@ +""" +Unit tests for azure_blob_storage_client.py module. +Tests focus on actual business logic: file operations, SAS generation, metadata management, +and authentication modes (key-based vs RBAC). +""" + +from unittest.mock import Mock, patch + +import pytest + +from backend.batch.utilities.helpers.azure_blob_storage_client import ( + AzureBlobStorageClient, + connection_string, + create_queue_client, +) + + +@pytest.fixture(autouse=True) +def mock_env_helper(): + """Mock EnvHelper with key-based auth configuration.""" + with patch("backend.batch.utilities.helpers.azure_blob_storage_client.EnvHelper") as mock: + env = Mock() + env.AZURE_AUTH_TYPE = "keys" + env.AZURE_BLOB_ACCOUNT_NAME = "teststorageaccount" + env.AZURE_BLOB_ACCOUNT_KEY = "dGVzdC1hY2NvdW50LWtleQ==" + env.AZURE_BLOB_CONTAINER_NAME = "test-container" + env.AZURE_STORAGE_ACCOUNT_ENDPOINT = "https://teststorageaccount.blob.core.windows.net/" + env.DOCUMENT_PROCESSING_QUEUE_NAME = "test-queue" + env.MANAGED_IDENTITY_CLIENT_ID = None + mock.return_value = env + yield env + + +@pytest.fixture +def mock_env_helper_rbac(): + """Mock EnvHelper with RBAC auth configuration.""" + with patch("backend.batch.utilities.helpers.azure_blob_storage_client.EnvHelper") as mock: + env = Mock() + env.AZURE_AUTH_TYPE = "rbac" + env.AZURE_BLOB_ACCOUNT_NAME = "teststorageaccount" + env.AZURE_BLOB_CONTAINER_NAME = "test-container" + env.AZURE_STORAGE_ACCOUNT_ENDPOINT = "https://teststorageaccount.blob.core.windows.net/" + env.DOCUMENT_PROCESSING_QUEUE_NAME = "test-queue" + env.MANAGED_IDENTITY_CLIENT_ID = "test-client-id" + mock.return_value = env + yield env + + +class TestConnectionString: + """Tests for connection_string utility function.""" + + def test_connection_string_format(self): + """Test that connection string is correctly formatted.""" + account_name = "myaccount" + account_key = "mykey123" + + result = connection_string(account_name, account_key) + + assert result == "DefaultEndpointsProtocol=https;AccountName=myaccount;AccountKey=mykey123;EndpointSuffix=core.windows.net" + assert "DefaultEndpointsProtocol=https" in result + assert f"AccountName={account_name}" in result + assert f"AccountKey={account_key}" in result + + +class TestCreateQueueClient: + """Tests for create_queue_client factory function.""" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.QueueClient") + def test_create_queue_client_with_key_auth(self, mock_queue_client_class, mock_env_helper): + """Test queue client creation with key-based authentication.""" + create_queue_client() + + mock_queue_client_class.from_connection_string.assert_called_once() + call_kwargs = mock_queue_client_class.from_connection_string.call_args[1] + assert call_kwargs['queue_name'] == "test-queue" + assert "AccountName=teststorageaccount" in call_kwargs['conn_str'] + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.get_azure_credential") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.QueueClient") + def test_create_queue_client_with_rbac(self, mock_queue_client_class, mock_get_credential, mock_env_helper_rbac): + """Test queue client creation with RBAC authentication.""" + from urllib.parse import urlparse + + mock_credential = Mock() + mock_get_credential.return_value = mock_credential + + create_queue_client() + + mock_get_credential.assert_called_once_with("test-client-id") + mock_queue_client_class.assert_called_once() + call_kwargs = mock_queue_client_class.call_args[1] + assert call_kwargs['queue_name'] == "test-queue" + assert call_kwargs['credential'] == mock_credential + + # Properly validate URL by parsing and checking the netloc + parsed_url = urlparse(call_kwargs['account_url']) + assert parsed_url.netloc == "teststorageaccount.queue.core.windows.net" + + +class TestAzureBlobStorageClientInitialization: + """Tests for client initialization with different auth types.""" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_initialization_with_key_auth(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test client initializes correctly with key-based authentication.""" + client = AzureBlobStorageClient() + + assert client.auth_type == "keys" + assert client.account_name == "teststorageaccount" + assert client.account_key == "dGVzdC1hY2NvdW50LWtleQ==" + assert client.container_name == "test-container" + assert client.user_delegation_key is None + + mock_credential_class.assert_called_once_with( + name="teststorageaccount", + key="dGVzdC1hY2NvdW50LWtleQ==" + ) + mock_blob_service_class.assert_called_once() + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.get_azure_credential") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + def test_initialization_with_rbac(self, mock_blob_service_class, mock_get_credential, mock_env_helper_rbac): + """Test client initializes correctly with RBAC authentication.""" + mock_credential = Mock() + mock_get_credential.return_value = mock_credential + + # Mock user delegation key request + mock_blob_service = Mock() + mock_user_delegation_key = Mock() + mock_blob_service.get_user_delegation_key.return_value = mock_user_delegation_key + mock_blob_service_class.return_value = mock_blob_service + + client = AzureBlobStorageClient() + + assert client.auth_type == "rbac" + assert client.account_name == "teststorageaccount" + assert client.account_key is None + assert client.user_delegation_key == mock_user_delegation_key + + mock_get_credential.assert_called_once_with("test-client-id") + mock_blob_service.get_user_delegation_key.assert_called_once() + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_initialization_with_custom_parameters(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test client accepts custom account name and container name.""" + client = AzureBlobStorageClient( + account_name="custom-account", + account_key="custom-key", + container_name="custom-container" + ) + + assert client.account_name == "custom-account" + assert client.account_key == "custom-key" + assert client.container_name == "custom-container" + + +class TestFileExistsAndDelete: + """Tests for file existence check and deletion logic.""" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_file_exists_returns_true(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test file_exists returns True when blob exists.""" + mock_blob_client = Mock() + mock_blob_client.exists.return_value = True + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + client = AzureBlobStorageClient() + result = client.file_exists("test-file.pdf") + + assert result is True + mock_blob_service.get_blob_client.assert_called_once_with( + container="test-container", + blob="test-file.pdf" + ) + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_file_exists_returns_false(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test file_exists returns False when blob doesn't exist.""" + mock_blob_client = Mock() + mock_blob_client.exists.return_value = False + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + client = AzureBlobStorageClient() + result = client.file_exists("nonexistent.pdf") + + assert result is False + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_delete_file_when_exists(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test delete_file deletes blob when it exists.""" + mock_blob_client = Mock() + mock_blob_client.exists.return_value = True + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + client = AzureBlobStorageClient() + client.delete_file("test-file.pdf") + + mock_blob_client.delete_blob.assert_called_once() + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_delete_file_when_not_exists(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test delete_file skips deletion when blob doesn't exist.""" + mock_blob_client = Mock() + mock_blob_client.exists.return_value = False + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + client = AzureBlobStorageClient() + client.delete_file("nonexistent.pdf") + + mock_blob_client.delete_blob.assert_not_called() + + +class TestDeleteFiles: + """Tests for batch file deletion logic.""" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_delete_files_with_integrated_vectorization(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test delete_files with integrated vectorization uses full filename.""" + mock_blob_client = Mock() + mock_blob_client.exists.return_value = True + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + client = AzureBlobStorageClient() + files = { + "folder/subfolder/file1.pdf": ["id1"], + "folder/file2.txt": ["id2"] + } + + client.delete_files(files, integrated_vectorization=True) + + # Should call get_blob_client with full paths + assert mock_blob_service.get_blob_client.call_count == 2 + mock_blob_service.get_blob_client.assert_any_call( + container="test-container", + blob="folder/subfolder/file1.pdf" + ) + mock_blob_service.get_blob_client.assert_any_call( + container="test-container", + blob="folder/file2.txt" + ) + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_delete_files_without_integrated_vectorization(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test delete_files without integrated vectorization extracts filename only.""" + mock_blob_client = Mock() + mock_blob_client.exists.return_value = True + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + client = AzureBlobStorageClient() + files = { + "folder/subfolder/file1.pdf": ["id1"], + "folder/file2.txt": ["id2"] + } + + client.delete_files(files, integrated_vectorization=False) + + # Should extract filename from path + mock_blob_service.get_blob_client.assert_any_call( + container="test-container", + blob="file1.pdf" + ) + mock_blob_service.get_blob_client.assert_any_call( + container="test-container", + blob="file2.txt" + ) + + +class TestUploadFile: + """Tests for file upload with content type detection and SAS generation.""" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_blob_sas") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_upload_file_with_explicit_content_type(self, mock_credential_class, mock_blob_service_class, mock_sas, mock_env_helper): + """Test upload_file uses provided content type.""" + mock_blob_client = Mock() + mock_blob_client.url = "https://teststorageaccount.blob.core.windows.net/test-container/test.pdf" + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + mock_sas.return_value = "sv=2021-06-08&sig=test" + + client = AzureBlobStorageClient() + file_data = b"PDF content here" + + result = client.upload_file( + file_data, + "test.pdf", + content_type="application/pdf", + metadata={"source": "upload"} + ) + + # Verify upload was called with correct content settings + upload_call = mock_blob_client.upload_blob.call_args + assert upload_call[1]['content_settings'].content_type == "application/pdf" + assert upload_call[1]['metadata'] == {"source": "upload"} + assert upload_call[1]['overwrite'] is True + + # Verify SAS URL is returned + assert "sv=2021-06-08" in result + assert mock_blob_client.url in result + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.chardet") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_blob_sas") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_upload_file_auto_detects_text_content_type(self, mock_credential_class, mock_blob_service_class, mock_sas, mock_chardet, mock_env_helper): + """Test upload_file auto-detects content type and charset for text files.""" + mock_blob_client = Mock() + mock_blob_client.url = "https://teststorageaccount.blob.core.windows.net/test-container/test.txt" + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + mock_sas.return_value = "sv=2021-06-08&sig=test" + mock_chardet.detect.return_value = {"encoding": "utf-8"} + + client = AzureBlobStorageClient() + file_data = b"Text file content" + + client.upload_file(file_data, "test.txt") + + # Verify charset is added for text files + upload_call = mock_blob_client.upload_blob.call_args + content_type = upload_call[1]['content_settings'].content_type + assert "text/plain" in content_type + assert "charset=utf-8" in content_type + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_blob_sas") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_upload_file_generates_sas_with_key(self, mock_credential_class, mock_blob_service_class, mock_sas, mock_env_helper): + """Test upload_file generates SAS token using account key.""" + mock_blob_client = Mock() + mock_blob_client.url = "https://teststorageaccount.blob.core.windows.net/test-container/test.pdf" + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + mock_sas.return_value = "sv=2021-06-08&sig=test" + + client = AzureBlobStorageClient() + client.upload_file(b"data", "test.pdf", content_type="application/pdf") + + # Verify SAS generation uses account key + mock_sas.assert_called_once() + sas_call_kwargs = mock_sas.call_args[1] + assert sas_call_kwargs['account_key'] == "dGVzdC1hY2NvdW50LWtleQ==" + assert sas_call_kwargs['user_delegation_key'] is None + assert sas_call_kwargs['permission'] == "r" + + +class TestDownloadFile: + """Tests for file download logic.""" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_download_file_returns_content(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test download_file returns blob content.""" + mock_download = Mock() + mock_download.readall.return_value = b"File content data" + + mock_blob_client = Mock() + mock_blob_client.download_blob.return_value = mock_download + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + client = AzureBlobStorageClient() + result = client.download_file("test-file.pdf") + + assert result == b"File content data" + mock_blob_service.get_blob_client.assert_called_once_with( + container="test-container", + blob="test-file.pdf" + ) + + +class TestGetAllFiles: + """Tests for listing all files with metadata and SAS URLs.""" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_container_sas") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_get_all_files_returns_file_list(self, mock_credential_class, mock_blob_service_class, mock_sas, mock_env_helper): + """Test get_all_files returns list of files with metadata.""" + # Create mock blobs + mock_blob1 = Mock() + mock_blob1.name = "document.pdf" + mock_blob1.metadata = { + "converted": "true", + "embeddings_added": "false", + "converted_filename": "converted/document.pdf" + } + + mock_blob2 = Mock() + mock_blob2.name = "image.jpg" + mock_blob2.metadata = None + + mock_blob3 = Mock() + mock_blob3.name = "converted/document.pdf" + mock_blob3.metadata = {} + + mock_container_client = Mock() + mock_container_client.list_blobs.return_value = [mock_blob1, mock_blob2, mock_blob3] + + mock_blob_service = Mock() + mock_blob_service.get_container_client.return_value = mock_container_client + mock_blob_service_class.return_value = mock_blob_service + + mock_sas.return_value = "sv=2021-06-08&sig=container" + + client = AzureBlobStorageClient() + result = client.get_all_files() + + assert len(result) == 2 # Only non-converted files + assert result[0]['filename'] == "document.pdf" + assert result[0]['converted'] is True + assert result[0]['embeddings_added'] is False + assert "document.pdf" in result[0]['fullpath'] + assert result[0]['converted_path'] != "" # Has converted file + + assert result[1]['filename'] == "image.jpg" + assert result[1]['converted'] is False + assert result[1]['embeddings_added'] is False + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_container_sas") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_get_all_files_handles_missing_metadata(self, mock_credential_class, mock_blob_service_class, mock_sas, mock_env_helper): + """Test get_all_files handles blobs without metadata gracefully.""" + mock_blob = Mock() + mock_blob.name = "no-metadata.pdf" + mock_blob.metadata = None + + mock_container_client = Mock() + mock_container_client.list_blobs.return_value = [mock_blob] + + mock_blob_service = Mock() + mock_blob_service.get_container_client.return_value = mock_container_client + mock_blob_service_class.return_value = mock_blob_service + + mock_sas.return_value = "sv=2021-06-08&sig=test" + + client = AzureBlobStorageClient() + result = client.get_all_files() + + assert len(result) == 1 + assert result[0]['converted'] is False + assert result[0]['embeddings_added'] is False + assert result[0]['converted_path'] == "" + + +class TestMetadataOperations: + """Tests for blob metadata management.""" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_upsert_blob_metadata_merges_with_existing(self, mock_credential_class, mock_blob_service_class, mock_env_helper): + """Test upsert_blob_metadata merges new metadata with existing.""" + mock_properties = Mock() + mock_properties.metadata = {"existing_key": "existing_value", "to_update": "old_value"} + + mock_blob_client = Mock() + mock_blob_client.get_blob_properties.return_value = mock_properties + + mock_blob_service = Mock() + mock_blob_service.get_blob_client.return_value = mock_blob_client + mock_blob_service_class.return_value = mock_blob_service + + client = AzureBlobStorageClient() + client.upsert_blob_metadata( + "test-file.pdf", + {"to_update": "new_value", "new_key": "new_value"} + ) + + # Verify metadata was merged and updated + set_metadata_call = mock_blob_client.set_blob_metadata.call_args[1] + updated_metadata = set_metadata_call['metadata'] + + assert updated_metadata['existing_key'] == "existing_value" + assert updated_metadata['to_update'] == "new_value" + assert updated_metadata['new_key'] == "new_value" + + +class TestSASGeneration: + """Tests for SAS token generation methods.""" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_container_sas") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_get_container_sas_uses_account_key(self, mock_credential_class, mock_blob_service_class, mock_sas, mock_env_helper): + """Test get_container_sas generates SAS with account key.""" + mock_sas.return_value = "sv=2021-06-08&sig=container" + mock_blob_service_class.return_value = Mock() + + client = AzureBlobStorageClient() + result = client.get_container_sas() + + assert result == "?sv=2021-06-08&sig=container" + + # Verify SAS generation parameters + sas_call_kwargs = mock_sas.call_args[1] + assert sas_call_kwargs['account_name'] == "teststorageaccount" + assert sas_call_kwargs['container_name'] == "test-container" + assert sas_call_kwargs['account_key'] == "dGVzdC1hY2NvdW50LWtleQ==" + assert sas_call_kwargs['user_delegation_key'] is None + assert sas_call_kwargs['permission'] == "r" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_blob_sas") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.AzureNamedKeyCredential") + def test_get_blob_sas_returns_full_url(self, mock_credential_class, mock_blob_service_class, mock_sas, mock_env_helper): + """Test get_blob_sas returns full URL with SAS token.""" + mock_sas.return_value = "sv=2021-06-08&sig=blob" + mock_blob_service_class.return_value = Mock() + + client = AzureBlobStorageClient() + result = client.get_blob_sas("documents/file.pdf") + + expected_url = "https://teststorageaccount.blob.core.windows.net/test-container/documents/file.pdf?sv=2021-06-08&sig=blob" + assert result == expected_url + + # Verify blob-specific SAS parameters + sas_call_kwargs = mock_sas.call_args[1] + assert sas_call_kwargs['blob_name'] == "documents/file.pdf" + assert sas_call_kwargs['permission'] == "r" + + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.get_azure_credential") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_container_sas") + @patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") + def test_get_container_sas_uses_delegation_key_with_rbac(self, mock_blob_service_class, mock_sas, mock_get_credential, mock_env_helper_rbac): + """Test get_container_sas uses user delegation key with RBAC.""" + mock_user_delegation_key = Mock() + mock_blob_service = Mock() + mock_blob_service.get_user_delegation_key.return_value = mock_user_delegation_key + mock_blob_service_class.return_value = mock_blob_service + + mock_sas.return_value = "sv=2021-06-08&sig=container" + + client = AzureBlobStorageClient() + client.get_container_sas() + + # Verify SAS uses delegation key instead of account key + sas_call_kwargs = mock_sas.call_args[1] + assert sas_call_kwargs['user_delegation_key'] == mock_user_delegation_key + assert sas_call_kwargs['account_key'] is None diff --git a/code/tests/utilities/helpers/test_azure_form_recognizer_helper.py b/code/tests/utilities/helpers/test_azure_form_recognizer_helper.py new file mode 100644 index 000000000..b2d274eaf --- /dev/null +++ b/code/tests/utilities/helpers/test_azure_form_recognizer_helper.py @@ -0,0 +1,373 @@ +""" +Unit tests for azure_form_recognizer_helper.py module. +Tests focus on actual business logic: table HTML generation, document analysis workflow, +and role-based HTML conversion. +""" + +import html +from unittest.mock import Mock, patch + +import pytest + +from backend.batch.utilities.helpers.azure_form_recognizer_helper import AzureFormRecognizerClient + + +@pytest.fixture(autouse=True) +def mock_env_helper(): + """Mock EnvHelper with different auth configurations.""" + with patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.EnvHelper") as mock: + env = Mock() + env.AZURE_FORM_RECOGNIZER_ENDPOINT = "https://test-endpoint.cognitiveservices.azure.com/" + env.AZURE_FORM_RECOGNIZER_KEY = "test-key-12345" + env.AZURE_AUTH_TYPE = "keys" + env.MANAGED_IDENTITY_CLIENT_ID = None + mock.return_value = env + yield env + + +@pytest.fixture +def mock_env_helper_rbac(): + """Mock EnvHelper with RBAC auth configuration.""" + with patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.EnvHelper") as mock: + env = Mock() + env.AZURE_FORM_RECOGNIZER_ENDPOINT = "https://test-endpoint.cognitiveservices.azure.com/" + env.AZURE_AUTH_TYPE = "rbac" + env.MANAGED_IDENTITY_CLIENT_ID = "test-client-id" + mock.return_value = env + yield env + + +class TestAzureFormRecognizerClientInitialization: + """Tests for client initialization with different auth types.""" + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.AzureKeyCredential") + def test_initialization_with_key_auth(self, mock_credential, mock_client, mock_env_helper): + """Test client initializes correctly with key-based authentication.""" + client = AzureFormRecognizerClient() + + mock_credential.assert_called_once_with("test-key-12345") + mock_client.assert_called_once() + assert client.AZURE_FORM_RECOGNIZER_ENDPOINT == "https://test-endpoint.cognitiveservices.azure.com/" + assert client.AZURE_FORM_RECOGNIZER_KEY == "test-key-12345" + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.get_azure_credential") + def test_initialization_with_rbac_auth(self, mock_get_credential, mock_client, mock_env_helper_rbac): + """Test client initializes correctly with RBAC authentication.""" + mock_credential = Mock() + mock_get_credential.return_value = mock_credential + + AzureFormRecognizerClient() + + mock_get_credential.assert_called_once_with("test-client-id") + mock_client.assert_called_once() + call_kwargs = mock_client.call_args[1] + assert call_kwargs['endpoint'] == "https://test-endpoint.cognitiveservices.azure.com/" + assert call_kwargs['credential'] == mock_credential + assert 'chat-with-your-data-solution-accelerator' in call_kwargs['headers']['x-ms-useragent'] + + +class TestTableToHTML: + """Tests for _table_to_html method - core business logic.""" + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_simple_table_conversion(self, mock_client): + """Test converting a simple 2x2 table to HTML.""" + client = AzureFormRecognizerClient() + + # Create mock table with 2 rows, 2 columns + mock_table = Mock() + mock_table.row_count = 2 + mock_table.cells = [ + Mock(row_index=0, column_index=0, kind="columnHeader", content="Header 1", column_span=1, row_span=1), + Mock(row_index=0, column_index=1, kind="columnHeader", content="Header 2", column_span=1, row_span=1), + Mock(row_index=1, column_index=0, kind="content", content="Cell 1", column_span=1, row_span=1), + Mock(row_index=1, column_index=1, kind="content", content="Cell 2", column_span=1, row_span=1), + ] + + result = client._table_to_html(mock_table) + + assert result.startswith("") + assert result.endswith("
") + assert "Header 1" in result + assert "Header 2" in result + assert "Cell 1" in result + assert "Cell 2" in result + assert result.count("") == 2 + assert result.count("") == 2 + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_table_with_colspan(self, mock_client): + """Test table cell with column span.""" + client = AzureFormRecognizerClient() + + mock_table = Mock() + mock_table.row_count = 2 + mock_table.cells = [ + Mock(row_index=0, column_index=0, kind="columnHeader", content="Merged Header", column_span=2, row_span=1), + Mock(row_index=1, column_index=0, kind="content", content="Cell 1", column_span=1, row_span=1), + Mock(row_index=1, column_index=1, kind="content", content="Cell 2", column_span=1, row_span=1), + ] + + result = client._table_to_html(mock_table) + + assert ' colSpan=2' in result + assert "Merged Header" in result + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_table_with_rowspan(self, mock_client): + """Test table cell with row span.""" + client = AzureFormRecognizerClient() + + mock_table = Mock() + mock_table.row_count = 2 + mock_table.cells = [ + Mock(row_index=0, column_index=0, kind="rowHeader", content="Row Header", column_span=1, row_span=2), + Mock(row_index=0, column_index=1, kind="content", content="Cell 1", column_span=1, row_span=1), + Mock(row_index=1, column_index=1, kind="content", content="Cell 2", column_span=1, row_span=1), + ] + + result = client._table_to_html(mock_table) + + assert ' rowSpan=2' in result + assert "Row Header" in result + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_table_html_escapes_content(self, mock_client): + """Test that table content is HTML-escaped to prevent XSS.""" + client = AzureFormRecognizerClient() + + mock_table = Mock() + mock_table.row_count = 1 + mock_table.cells = [ + Mock(row_index=0, column_index=0, kind="content", + content="", column_span=1, row_span=1), + ] + + result = client._table_to_html(mock_table) + + assert "" not in result + assert html.escape("") in result + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_table_cells_sorted_by_column_index(self, mock_client): + """Test that cells are sorted by column index within each row.""" + client = AzureFormRecognizerClient() + + # Create cells in wrong order + mock_table = Mock() + mock_table.row_count = 1 + mock_table.cells = [ + Mock(row_index=0, column_index=2, kind="content", content="Third", column_span=1, row_span=1), + Mock(row_index=0, column_index=0, kind="content", content="First", column_span=1, row_span=1), + Mock(row_index=0, column_index=1, kind="content", content="Second", column_span=1, row_span=1), + ] + + result = client._table_to_html(mock_table) + + # Verify order by checking positions in result string + first_pos = result.find("First") + second_pos = result.find("Second") + third_pos = result.find("Third") + + assert first_pos < second_pos < third_pos + + +class TestBeginAnalyzeDocumentFromUrl: + """Tests for the main document analysis workflow.""" + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_analyze_document_uses_layout_model(self, mock_client_class): + """Test that layout model is used when use_layout=True.""" + mock_client = Mock() + mock_client_class.return_value = mock_client + + mock_poller = Mock() + mock_result = Mock() + mock_result.paragraphs = [] + mock_result.pages = [Mock(spans=[Mock(offset=0, length=10)])] + mock_result.tables = [] + mock_result.content = "Test content" + mock_poller.result.return_value = mock_result + + mock_client.begin_analyze_document_from_url.return_value = mock_poller + + client = AzureFormRecognizerClient() + client.begin_analyze_document_from_url("https://example.com/doc.pdf", use_layout=True) + + mock_client.begin_analyze_document_from_url.assert_called_once_with( + "prebuilt-layout", document_url="https://example.com/doc.pdf" + ) + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_analyze_document_uses_read_model(self, mock_client_class): + """Test that read model is used when use_layout=False.""" + mock_client = Mock() + mock_client_class.return_value = mock_client + + mock_poller = Mock() + mock_result = Mock() + mock_result.paragraphs = [] + mock_result.pages = [Mock(spans=[Mock(offset=0, length=10)])] + mock_result.tables = [] + mock_result.content = "Test content" + mock_poller.result.return_value = mock_result + + mock_client.begin_analyze_document_from_url.return_value = mock_poller + + client = AzureFormRecognizerClient() + client.begin_analyze_document_from_url("https://example.com/doc.pdf", use_layout=False) + + mock_client.begin_analyze_document_from_url.assert_called_once_with( + "prebuilt-read", document_url="https://example.com/doc.pdf" + ) + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_analyze_document_returns_page_map(self, mock_client_class): + """Test that document analysis returns correct page map structure.""" + mock_client = Mock() + mock_client_class.return_value = mock_client + + mock_poller = Mock() + mock_result = Mock() + mock_result.paragraphs = [] + mock_result.tables = [] + + # Content must match the total length of all page spans + content_page1 = "Page 1 content!" # 15 chars (offset 0-14) + content_page2 = "Page 2 content!" # 15 chars (offset 15-29) + mock_result.content = content_page1 + content_page2 # 30 chars total + + # Create two pages with correct spans matching content length + mock_result.pages = [ + Mock(spans=[Mock(offset=0, length=15)]), + Mock(spans=[Mock(offset=15, length=15)]) + ] + + mock_poller.result.return_value = mock_result + mock_client.begin_analyze_document_from_url.return_value = mock_poller + + client = AzureFormRecognizerClient() + result = client.begin_analyze_document_from_url("https://example.com/doc.pdf") + + assert len(result) == 2 + assert result[0]['page_number'] == 0 + assert result[1]['page_number'] == 1 + assert result[0]['offset'] == 0 + # Verify page_text contains content + assert len(result[0]['page_text']) > 0 + assert 'page_text' in result[1] + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_analyze_document_handles_paragraphs_with_roles(self, mock_client_class): + """Test that paragraph roles are converted to HTML tags.""" + mock_client = Mock() + mock_client_class.return_value = mock_client + + mock_poller = Mock() + mock_result = Mock() + + # Create paragraph with title role spanning full content + mock_paragraph = Mock() + mock_paragraph.role = "title" + mock_paragraph.spans = [Mock(offset=0, length=10)] + mock_result.paragraphs = [mock_paragraph] + + mock_result.tables = [] + mock_result.content = "Title Text" # 10 chars + mock_result.pages = [Mock(spans=[Mock(offset=0, length=10)])] + + mock_poller.result.return_value = mock_result + mock_client.begin_analyze_document_from_url.return_value = mock_poller + + client = AzureFormRecognizerClient() + result = client.begin_analyze_document_from_url("https://example.com/doc.pdf") + + # Title role should be converted to h1 tags (opening tag at start, may not have closing) + assert '

' in result[0]['page_text'] + assert 'Title Text' in result[0]['page_text'] + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_analyze_document_raises_error_on_failure(self, mock_client_class): + """Test that analysis errors are properly wrapped and raised.""" + mock_client = Mock() + mock_client_class.return_value = mock_client + + mock_client.begin_analyze_document_from_url.side_effect = Exception("API Error") + + client = AzureFormRecognizerClient() + + with pytest.raises(ValueError) as exc_info: + client.begin_analyze_document_from_url("https://example.com/doc.pdf") + + assert "Error:" in str(exc_info.value) + + +class TestDocumentAnalysisIntegration: + """Integration tests for document analysis with tables and roles.""" + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_analyze_document_integrates_tables_into_page_text(self, mock_client_class): + """Test that tables are converted to HTML and integrated into page text.""" + mock_client = Mock() + mock_client_class.return_value = mock_client + + # Create a table that spans part of the page + mock_table = Mock() + mock_table.row_count = 1 + mock_table.bounding_regions = [Mock(page_number=1)] + mock_table.spans = [Mock(offset=5, length=10)] + mock_table.cells = [ + Mock(row_index=0, column_index=0, kind="content", content="Data", column_span=1, row_span=1) + ] + + mock_poller = Mock() + mock_result = Mock() + mock_result.paragraphs = [] + mock_result.tables = [mock_table] + mock_result.content = "Text [TABLE_DATA] More" # 22 chars total + mock_result.pages = [Mock(spans=[Mock(offset=0, length=22)])] + + mock_poller.result.return_value = mock_result + mock_client.begin_analyze_document_from_url.return_value = mock_poller + + client = AzureFormRecognizerClient() + result = client.begin_analyze_document_from_url("https://example.com/doc.pdf") + + # Verify table HTML is in page_text + assert '' in result[0]['page_text'] + assert '' in result[0]['page_text'] + + @patch("backend.batch.utilities.helpers.azure_form_recognizer_helper.DocumentAnalysisClient") + def test_analyze_document_combines_roles_and_content(self, mock_client_class): + """Test that multiple paragraph roles are correctly applied to content.""" + mock_client = Mock() + mock_client_class.return_value = mock_client + + # Create multiple paragraphs with different roles + mock_title = Mock() + mock_title.role = "title" + mock_title.spans = [Mock(offset=0, length=5)] + + mock_section = Mock() + mock_section.role = "sectionHeading" + mock_section.spans = [Mock(offset=6, length=7)] + + mock_poller = Mock() + mock_result = Mock() + mock_result.paragraphs = [mock_title, mock_section] + mock_result.tables = [] + mock_result.content = "Title Section Text" # 18 chars + mock_result.pages = [Mock(spans=[Mock(offset=0, length=18)])] + + mock_poller.result.return_value = mock_result + mock_client.begin_analyze_document_from_url.return_value = mock_poller + + client = AzureFormRecognizerClient() + result = client.begin_analyze_document_from_url("https://example.com/doc.pdf") + + # Verify both role tags are present + page_text = result[0]['page_text'] + assert '

' in page_text # title role + assert '

' in page_text # sectionHeading role diff --git a/code/tests/utilities/helpers/test_azure_postgres_helper.py b/code/tests/utilities/helpers/test_azure_postgres_helper.py index d5cdae6c5..7ffea8808 100644 --- a/code/tests/utilities/helpers/test_azure_postgres_helper.py +++ b/code/tests/utilities/helpers/test_azure_postgres_helper.py @@ -863,3 +863,165 @@ def test_search_by_blob_url_error( "Error executing search query: Database error" ) mock_connection.close.assert_called_once() + + @patch("backend.batch.utilities.helpers.azure_postgres_helper.get_azure_credential") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.psycopg2.connect") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.logger") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.EnvHelper") + def test_get_search_client_recreates_closed_connection( + self, mock_env_helper, mock_logger, mock_connect, mock_credential + ): + # Arrange: Mock the EnvHelper attributes + mock_env_helper.POSTGRESQL_USER = "mock_user" + mock_env_helper.POSTGRESQL_HOST = "mock_host" + mock_env_helper.POSTGRESQL_DATABASE = "mock_database" + mock_env_helper.AZURE_POSTGRES_SEARCH_TOP_K = 5 + + # Mock access token retrieval + mock_access_token = MagicMock() + mock_access_token.token = "mock-access-token" + mock_credential.return_value.get_token.return_value = mock_access_token + + # Mock a new open connection + mock_new_connection = MagicMock() + mock_new_connection.closed = 0 # Connection is open + + mock_connect.return_value = mock_new_connection + + # Create an instance of the helper + helper = AzurePostgresHelper() + + # Mock a closed connection + mock_closed_connection = MagicMock() + mock_closed_connection.closed = 1 # Connection is closed + + # Set the helper to have a closed connection + helper.conn = mock_closed_connection + + # Act: Call get_search_client which should recreate the connection + result = helper.get_search_client() + + # Assert: Verify new connection was created + self.assertEqual(result, mock_new_connection) + self.assertEqual(mock_connect.call_count, 1) + mock_logger.info.assert_called_with("Connected to Azure PostgreSQL successfully.") + + @patch("backend.batch.utilities.helpers.azure_postgres_helper.get_azure_credential") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.psycopg2.connect") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.execute_values") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.logger") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.EnvHelper") + def test_create_vector_store_success( + self, mock_env_helper, mock_logger, mock_execute_values, mock_connect, mock_credential + ): + # Arrange: Mock the EnvHelper attributes + mock_env_helper.POSTGRESQL_USER = "mock_user" + mock_env_helper.POSTGRESQL_HOST = "mock_host" + mock_env_helper.POSTGRESQL_DATABASE = "mock_database" + mock_env_helper.AZURE_POSTGRES_SEARCH_TOP_K = 5 + + # Mock access token retrieval + mock_access_token = MagicMock() + mock_access_token.token = "mock-access-token" + mock_credential.return_value.get_token.return_value = mock_access_token + + # Mock the connection and cursor + mock_connection = MagicMock() + mock_cursor = MagicMock() + mock_connection.cursor.return_value.__enter__.return_value = mock_cursor + mock_connect.return_value = mock_connection + + # Create test documents + documents_to_upload = [ + { + "id": "doc1", + "title": "Title 1", + "chunk": "Chunk 1", + "chunk_id": "chunk1", + "offset": 0, + "page_number": 1, + "content": "Content 1", + "source": "source1.pdf", + "metadata": {"key": "value1"}, + "content_vector": [0.1, 0.2, 0.3] + }, + { + "id": "doc2", + "title": "Title 2", + "chunk": "Chunk 2", + "chunk_id": "chunk2", + "offset": 100, + "page_number": 2, + "content": "Content 2", + "source": "source2.pdf", + "metadata": {"key": "value2"}, + "content_vector": [0.4, 0.5, 0.6] + } + ] + + # Create an instance of the helper + helper = AzurePostgresHelper() + + # Act: Call the method under test + helper.create_vector_store(documents_to_upload) + + # Assert: Verify execute_values was called + mock_execute_values.assert_called_once() + mock_connection.commit.assert_called_once() + mock_connection.close.assert_called_once() + mock_logger.info.assert_called_with("Inserted 2 documents successfully.") + + @patch("backend.batch.utilities.helpers.azure_postgres_helper.get_azure_credential") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.psycopg2.connect") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.execute_values") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.logger") + @patch("backend.batch.utilities.helpers.azure_postgres_helper.EnvHelper") + def test_create_vector_store_error( + self, mock_env_helper, mock_logger, mock_execute_values, mock_connect, mock_credential + ): + # Arrange: Mock the EnvHelper attributes + mock_env_helper.POSTGRESQL_USER = "mock_user" + mock_env_helper.POSTGRESQL_HOST = "mock_host" + mock_env_helper.POSTGRESQL_DATABASE = "mock_database" + mock_env_helper.AZURE_POSTGRES_SEARCH_TOP_K = 5 + + # Mock access token retrieval + mock_access_token = MagicMock() + mock_access_token.token = "mock-access-token" + mock_credential.return_value.get_token.return_value = mock_access_token + + # Mock the connection and cursor + mock_connection = MagicMock() + mock_cursor = MagicMock() + mock_connection.cursor.return_value.__enter__.return_value = mock_cursor + mock_connect.return_value = mock_connection + + # Simulate an error during execute_values + mock_execute_values.side_effect = Exception("Insert failed") + + # Create test documents + documents_to_upload = [ + { + "id": "doc1", + "title": "Title 1", + "chunk": "Chunk 1", + "chunk_id": "chunk1", + "offset": 0, + "page_number": 1, + "content": "Content 1", + "source": "source1.pdf", + "metadata": {"key": "value1"}, + "content_vector": [0.1, 0.2, 0.3] + } + ] + + # Create an instance of the helper + helper = AzurePostgresHelper() + + # Act & Assert: Ensure that the exception is raised and the error is logged + with self.assertRaises(Exception): + helper.create_vector_store(documents_to_upload) + + mock_logger.error.assert_called_with("Error during index creation: Insert failed") + mock_connection.rollback.assert_called_once() + mock_connection.close.assert_called_once() diff --git a/code/tests/utilities/helpers/test_env_helper.py b/code/tests/utilities/helpers/test_env_helper.py index 2bff037c3..8c0f4ad5f 100644 --- a/code/tests/utilities/helpers/test_env_helper.py +++ b/code/tests/utilities/helpers/test_env_helper.py @@ -182,7 +182,7 @@ def test_database_type_if_set_as_postgresql(monkeypatch: MonkeyPatch): def test_use_advanced_image_processing_postgresql(monkeypatch: MonkeyPatch): # given monkeypatch.setenv("DATABASE_TYPE", "PostgreSQL") - monkeypatch.setenv("USE_ADVANCED_IMAGE_PROCESSING", False) + monkeypatch.setenv("USE_ADVANCED_IMAGE_PROCESSING", "False") # when actual_use_advanced_image_processing = EnvHelper().USE_ADVANCED_IMAGE_PROCESSING @@ -194,7 +194,7 @@ def test_use_advanced_image_processing_postgresql(monkeypatch: MonkeyPatch): def test_use_integrated_vectorization_postgresql(monkeypatch: MonkeyPatch): # given monkeypatch.setenv("DATABASE_TYPE", "PostgreSQL") - monkeypatch.setenv("AZURE_SEARCH_USE_INTEGRATED_VECTORIZATION", False) + monkeypatch.setenv("AZURE_SEARCH_USE_INTEGRATED_VECTORIZATION", "False") # when actual_use_integrated_vectorization = ( diff --git a/code/tests/utilities/orchestrator/test_lang_chain_agent.py b/code/tests/utilities/orchestrator/test_lang_chain_agent.py index 0d3843479..944b450ce 100644 --- a/code/tests/utilities/orchestrator/test_lang_chain_agent.py +++ b/code/tests/utilities/orchestrator/test_lang_chain_agent.py @@ -122,3 +122,167 @@ async def test_orchestrate_returns_error_message_on_Exception( # When + Then with pytest.raises(Exception): await agent.orchestrate(user_message="Hello", chat_history=[]) + + +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.ZeroShotAgent") +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.LLMChain") +@patch("langchain.agents.AgentExecutor.from_agent_and_tools") +@pytest.mark.asyncio +async def test_orchestrate_with_content_safety_input_blocked( + agent_executor_mock, llm_chain_mock, zero_shot_agent_mock +): + # Given + agent = LangChainAgentNoInit() + agent.config.prompts.enable_content_safety = True + agent.config.prompts.enable_post_answering_prompt = False + + blocked_response = [{"role": "assistant", "content": "Content blocked"}] + agent.call_content_safety_input = MagicMock(return_value=blocked_response) + + # When + result = await agent.orchestrate(user_message="Harmful message", chat_history=[]) + + # Then + assert result == blocked_response + agent.call_content_safety_input.assert_called_once_with("Harmful message") + # Verify agent chain was never executed + agent_executor_mock.assert_not_called() + + +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.ZeroShotAgent") +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.LLMChain") +@patch("langchain.agents.AgentExecutor.from_agent_and_tools") +@pytest.mark.asyncio +async def test_orchestrate_with_content_safety_output_blocked( + agent_executor_mock, llm_chain_mock, zero_shot_agent_mock +): + # Given + agent = LangChainAgentNoInit() + agent.config.prompts.enable_content_safety = True + agent.config.prompts.enable_post_answering_prompt = False + + agent_chain_mock = MagicMock() + agent_executor_mock.return_value = agent_chain_mock + agent_chain_mock.run.return_value = '{"question": "Hello", "answer": "Harmful response", "source_documents": [], "prompt_tokens": null, "completion_tokens": null}' + + blocked_response = [{"role": "assistant", "content": "Output blocked"}] + agent.call_content_safety_input = MagicMock(return_value=None) + agent.call_content_safety_output = MagicMock(return_value=blocked_response) + + # When + result = await agent.orchestrate(user_message="Hello", chat_history=[]) + + # Then + assert result == blocked_response + agent.call_content_safety_output.assert_called_once_with("Hello", "Harmful response") + # Verify output parser was never called + agent.output_parser.parse.assert_not_called() + + +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.ZeroShotAgent") +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.LLMChain") +@patch("langchain.agents.AgentExecutor.from_agent_and_tools") +@pytest.mark.asyncio +async def test_orchestrate_with_chat_history_builds_memory( + agent_executor_mock, llm_chain_mock, zero_shot_agent_mock +): + # Given + agent = LangChainAgentNoInit() + agent.config.prompts.enable_content_safety = False + agent.config.prompts.enable_post_answering_prompt = False + + chat_history = [ + {"role": "user", "content": "First question"}, + {"role": "assistant", "content": "First answer"}, + {"role": "user", "content": "Second question"}, + {"role": "assistant", "content": "Second answer"}, + ] + + agent_chain_mock = MagicMock() + agent_executor_mock.return_value = agent_chain_mock + agent_chain_mock.run.return_value = '{"question": "Third question", "answer": "Third answer", "source_documents": [], "prompt_tokens": null, "completion_tokens": null}' + + agent.output_parser.parse.return_value = [{"role": "assistant", "content": "Third answer"}] + + # When + await agent.orchestrate(user_message="Third question", chat_history=chat_history) + + # Then - verify memory was created (AgentExecutor.from_agent_and_tools called with memory) + assert agent_executor_mock.called + call_kwargs = agent_executor_mock.call_args[1] + assert "memory" in call_kwargs + memory = call_kwargs["memory"] + # Verify memory has chat history (4 messages in history) + assert len(memory.chat_memory.messages) == 4 + + +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.ZeroShotAgent") +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.LLMChain") +@patch("langchain.agents.AgentExecutor.from_agent_and_tools") +@pytest.mark.asyncio +async def test_orchestrate_with_answer_json_parse_exception_creates_fallback_answer( + agent_executor_mock, llm_chain_mock, zero_shot_agent_mock +): + # Given + agent = LangChainAgentNoInit() + agent.config.prompts.enable_content_safety = False + agent.config.prompts.enable_post_answering_prompt = False + + agent_chain_mock = MagicMock() + agent_executor_mock.return_value = agent_chain_mock + # Return plain text instead of JSON + agent_chain_mock.run.return_value = "Plain text answer without JSON" + + agent.output_parser.parse.return_value = [{"role": "assistant", "content": "Plain text answer without JSON"}] + + # When + await agent.orchestrate(user_message="Hello", chat_history=[]) + + # Then - verify output parser was called with fallback Answer object + agent.output_parser.parse.assert_called_once() + call_kwargs = agent.output_parser.parse.call_args[1] + assert call_kwargs["question"] == "Hello" + assert call_kwargs["answer"] == "Plain text answer without JSON" + assert call_kwargs["source_documents"] == [] + + +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.ZeroShotAgent") +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.LLMChain") +@patch("langchain.agents.AgentExecutor.from_agent_and_tools") +@patch("backend.batch.utilities.orchestrator.lang_chain_agent.PostPromptTool") +@pytest.mark.asyncio +async def test_orchestrate_with_post_answering_prompt_validates_answer( + post_prompt_tool_mock, agent_executor_mock, llm_chain_mock, zero_shot_agent_mock +): + # Given + agent = LangChainAgentNoInit() + agent.config.prompts.enable_content_safety = False + agent.config.prompts.enable_post_answering_prompt = True + + agent_chain_mock = MagicMock() + agent_executor_mock.return_value = agent_chain_mock + agent_chain_mock.run.return_value = '{"question": "Hello", "answer": "Original answer", "source_documents": [], "prompt_tokens": 10, "completion_tokens": 20}' + + # Mock PostPromptTool to return validated answer + validated_answer = Answer( + question="Hello", + answer="Validated answer", + source_documents=[], + prompt_tokens=5, + completion_tokens=10, + ) + post_prompt_instance = MagicMock() + post_prompt_tool_mock.return_value = post_prompt_instance + post_prompt_instance.validate_answer.return_value = validated_answer + + agent.output_parser.parse.return_value = [{"role": "assistant", "content": "Validated answer"}] + + # When + await agent.orchestrate(user_message="Hello", chat_history=[]) + + # Then - verify post prompt validation was called + post_prompt_instance.validate_answer.assert_called_once() + # Verify output parser received validated answer + agent.output_parser.parse.assert_called_once_with( + question="Hello", answer="Validated answer", source_documents=[] + ) diff --git a/code/tests/utilities/orchestrator/test_open_ai_functions.py b/code/tests/utilities/orchestrator/test_open_ai_functions.py index 776fe8a12..2e410c2f7 100644 --- a/code/tests/utilities/orchestrator/test_open_ai_functions.py +++ b/code/tests/utilities/orchestrator/test_open_ai_functions.py @@ -5,6 +5,7 @@ OpenAIFunctionsOrchestrator, ) from backend.batch.utilities.parser.output_parser_tool import OutputParserTool +from backend.batch.utilities.common.answer import Answer @pytest.fixture(autouse=True) @@ -17,6 +18,16 @@ def llm_helper_mock(): yield llm_helper +@pytest.fixture +def env_helper_mock(): + with patch( + "backend.batch.utilities.orchestrator.open_ai_functions.EnvHelper" + ) as mock: + env_helper = mock.return_value + env_helper.OPEN_AI_FUNCTIONS_SYSTEM_PROMPT = "Test system prompt" + yield env_helper + + @pytest.fixture() def orchestrator(): with patch( @@ -39,7 +50,10 @@ def orchestrator(): @pytest.mark.asyncio -async def test_content_safety_input(orchestrator: OpenAIFunctionsOrchestrator): +async def test_orchestrate_with_content_safety_input_blocked( + orchestrator: OpenAIFunctionsOrchestrator, +): + """Test content safety blocks harmful input before LLM call.""" # given content_safety_response = [ { @@ -62,3 +76,335 @@ async def test_content_safety_input(orchestrator: OpenAIFunctionsOrchestrator): # then assert response == content_safety_response + + +@patch("backend.batch.utilities.orchestrator.open_ai_functions.QuestionAnswerTool") +@pytest.mark.asyncio +async def test_orchestrate_with_search_documents_function_call( + qa_tool_mock, + orchestrator: OpenAIFunctionsOrchestrator, + llm_helper_mock, + env_helper_mock, +): + """Test orchestration with search_documents function call.""" + orchestrator.config.prompts.enable_content_safety = False + orchestrator.config.prompts.enable_post_answering_prompt = False + + # Mock LLM response with function call + mock_result = MagicMock() + mock_result.choices = [MagicMock()] + mock_result.choices[0].finish_reason = "function_call" + mock_result.choices[0].message.function_call.name = "search_documents" + mock_result.choices[0].message.function_call.arguments = '{"question": "What is Azure?"}' + mock_result.usage.prompt_tokens = 10 + mock_result.usage.completion_tokens = 20 + + llm_helper_mock.get_chat_completion_with_functions.return_value = mock_result + + # Mock QuestionAnswerTool + answer = Answer( + question="What is Azure?", + answer="Azure is Microsoft's cloud platform", + source_documents=[], + prompt_tokens=5, + completion_tokens=10, + ) + qa_tool_instance = qa_tool_mock.return_value + qa_tool_instance.answer_question.return_value = answer + + # when + response = await orchestrator.orchestrate("What is Azure?", []) + + # then + qa_tool_instance.answer_question.assert_called_once_with( + "What is Azure?", [] + ) + assert len(response) > 0 + + +@patch("backend.batch.utilities.orchestrator.open_ai_functions.TextProcessingTool") +@pytest.mark.asyncio +async def test_orchestrate_with_text_processing_function_call( + text_tool_mock, + orchestrator: OpenAIFunctionsOrchestrator, + llm_helper_mock, + env_helper_mock, +): + """Test orchestration with text_processing function call.""" + orchestrator.config.prompts.enable_content_safety = False + orchestrator.config.prompts.enable_post_answering_prompt = False + + # Mock LLM response with text_processing function call + mock_result = MagicMock() + mock_result.choices = [MagicMock()] + mock_result.choices[0].finish_reason = "function_call" + mock_result.choices[0].message.function_call.name = "text_processing" + mock_result.choices[0].message.function_call.arguments = ( + '{"text": "Hello world", "operation": "translate to Spanish"}' + ) + mock_result.usage.prompt_tokens = 10 + mock_result.usage.completion_tokens = 20 + + llm_helper_mock.get_chat_completion_with_functions.return_value = mock_result + + # Mock TextProcessingTool + answer = Answer( + question="translate to Spanish: Hello world", + answer="Hola mundo", + source_documents=[], + prompt_tokens=5, + completion_tokens=10, + ) + text_tool_instance = text_tool_mock.return_value + text_tool_instance.answer_question.return_value = answer + + # when + response = await orchestrator.orchestrate( + "translate to Spanish: Hello world", [] + ) + + # then + text_tool_instance.answer_question.assert_called_once_with( + "translate to Spanish: Hello world", + [], + text="Hello world", + operation="translate to Spanish", + ) + assert len(response) > 0 + + +@pytest.mark.asyncio +async def test_orchestrate_with_no_function_call( + orchestrator: OpenAIFunctionsOrchestrator, + llm_helper_mock, + env_helper_mock, +): + """Test orchestration when LLM returns direct response without function call.""" + orchestrator.config.prompts.enable_content_safety = False + orchestrator.config.prompts.enable_post_answering_prompt = False + + # Mock LLM response without function call + mock_result = MagicMock() + mock_result.choices = [MagicMock()] + mock_result.choices[0].finish_reason = "stop" + mock_result.choices[0].message.content = "Direct response from LLM" + mock_result.usage.prompt_tokens = 10 + mock_result.usage.completion_tokens = 20 + + llm_helper_mock.get_chat_completion_with_functions.return_value = mock_result + + # when + response = await orchestrator.orchestrate("Simple question", []) + + # then + assert len(response) > 0 + # Verify Answer was created from direct response + assert any("Direct response from LLM" in str(r) for r in response) + + +@pytest.mark.asyncio +async def test_orchestrate_with_unknown_function_call( + orchestrator: OpenAIFunctionsOrchestrator, + llm_helper_mock, + env_helper_mock, +): + """Test orchestration with unknown function call falls back to content response.""" + orchestrator.config.prompts.enable_content_safety = False + orchestrator.config.prompts.enable_post_answering_prompt = False + + # Mock LLM response with unknown function call + mock_result = MagicMock() + mock_result.choices = [MagicMock()] + mock_result.choices[0].finish_reason = "function_call" + mock_result.choices[0].message.function_call.name = "unknown_function" + mock_result.choices[0].message.content = "Unknown function response" + mock_result.usage.prompt_tokens = 10 + mock_result.usage.completion_tokens = 20 + + llm_helper_mock.get_chat_completion_with_functions.return_value = mock_result + + # when + response = await orchestrator.orchestrate("Question", []) + + # then + assert len(response) > 0 + + +@patch("backend.batch.utilities.orchestrator.open_ai_functions.PostPromptTool") +@patch("backend.batch.utilities.orchestrator.open_ai_functions.QuestionAnswerTool") +@pytest.mark.asyncio +async def test_orchestrate_with_post_answering_prompt_enabled( + qa_tool_mock, + post_tool_mock, + orchestrator: OpenAIFunctionsOrchestrator, + llm_helper_mock, + env_helper_mock, +): + """Test post-answering prompt validation when enabled.""" + orchestrator.config.prompts.enable_content_safety = False + orchestrator.config.prompts.enable_post_answering_prompt = True + + # Mock LLM response with search_documents function call + mock_result = MagicMock() + mock_result.choices = [MagicMock()] + mock_result.choices[0].finish_reason = "function_call" + mock_result.choices[0].message.function_call.name = "search_documents" + mock_result.choices[0].message.function_call.arguments = ( + '{"question": "Test question"}' + ) + mock_result.usage.prompt_tokens = 10 + mock_result.usage.completion_tokens = 20 + + llm_helper_mock.get_chat_completion_with_functions.return_value = mock_result + + # Mock QuestionAnswerTool and PostPromptTool + initial_answer = Answer( + question="Test question", + answer="Initial answer", + source_documents=[], + prompt_tokens=5, + completion_tokens=10, + ) + validated_answer = Answer( + question="Test question", + answer="Validated answer", + source_documents=[], + prompt_tokens=3, + completion_tokens=7, + ) + + qa_tool_instance = qa_tool_mock.return_value + qa_tool_instance.answer_question.return_value = initial_answer + + post_tool_instance = post_tool_mock.return_value + post_tool_instance.validate_answer.return_value = validated_answer + + # when + response = await orchestrator.orchestrate("Test question", []) + + # then + post_tool_instance.validate_answer.assert_called_once_with(initial_answer) + assert len(response) > 0 + + +@pytest.mark.asyncio +async def test_orchestrate_with_content_safety_output_blocked( + orchestrator: OpenAIFunctionsOrchestrator, + llm_helper_mock, + env_helper_mock, +): + """Test content safety blocks harmful output after answer generation.""" + orchestrator.config.prompts.enable_content_safety = True + orchestrator.config.prompts.enable_post_answering_prompt = False + + # Mock LLM response + mock_result = MagicMock() + mock_result.choices = [MagicMock()] + mock_result.choices[0].finish_reason = "stop" + mock_result.choices[0].message.content = "Harmful response" + mock_result.usage.prompt_tokens = 10 + mock_result.usage.completion_tokens = 20 + + llm_helper_mock.get_chat_completion_with_functions.return_value = mock_result + + # Mock content safety output block + content_safety_response = [ + {"role": "assistant", "content": "Output blocked by content safety"} + ] + orchestrator.call_content_safety_output = MagicMock( + return_value=content_safety_response + ) + + # when + response = await orchestrator.orchestrate("Question", []) + + # then + assert response == content_safety_response + orchestrator.call_content_safety_output.assert_called_once() + + +@pytest.mark.asyncio +async def test_orchestrate_with_chat_history_builds_messages( + orchestrator: OpenAIFunctionsOrchestrator, + llm_helper_mock, + env_helper_mock, +): + """Test chat history is properly converted to messages for LLM.""" + orchestrator.config.prompts.enable_content_safety = False + orchestrator.config.prompts.enable_post_answering_prompt = False + + chat_history = [ + {"role": "user", "content": "First question"}, + {"role": "assistant", "content": "First answer"}, + {"role": "user", "content": "Second question"}, + ] + + # Mock LLM response + mock_result = MagicMock() + mock_result.choices = [MagicMock()] + mock_result.choices[0].finish_reason = "stop" + mock_result.choices[0].message.content = "Response" + mock_result.usage.prompt_tokens = 10 + mock_result.usage.completion_tokens = 20 + + llm_helper_mock.get_chat_completion_with_functions.return_value = mock_result + + # when + await orchestrator.orchestrate("Third question", chat_history) + + # then + call_args = llm_helper_mock.get_chat_completion_with_functions.call_args[0] + messages = call_args[0] + + # Verify message structure: system + chat history + current user message + assert len(messages) == 5 # 1 system + 3 history + 1 current + assert messages[0]["role"] == "system" + assert messages[1]["role"] == "user" + assert messages[1]["content"] == "First question" + assert messages[4]["role"] == "user" + assert messages[4]["content"] == "Third question" + + +@patch("backend.batch.utilities.orchestrator.open_ai_functions.QuestionAnswerTool") +@pytest.mark.asyncio +async def test_orchestrate_with_null_answer_gets_default_message( + qa_tool_mock, + orchestrator: OpenAIFunctionsOrchestrator, + llm_helper_mock, + env_helper_mock, +): + """Test null answer is replaced with default message.""" + orchestrator.config.prompts.enable_content_safety = False + orchestrator.config.prompts.enable_post_answering_prompt = False + + # Mock LLM response with function call + mock_result = MagicMock() + mock_result.choices = [MagicMock()] + mock_result.choices[0].finish_reason = "function_call" + mock_result.choices[0].message.function_call.name = "search_documents" + mock_result.choices[0].message.function_call.arguments = '{"question": "Test"}' + mock_result.usage.prompt_tokens = 10 + mock_result.usage.completion_tokens = 20 + + llm_helper_mock.get_chat_completion_with_functions.return_value = mock_result + + # Mock QuestionAnswerTool returning answer with None + answer = Answer( + question="Test", + answer=None, # Null answer + source_documents=[], + prompt_tokens=5, + completion_tokens=10, + ) + qa_tool_instance = qa_tool_mock.return_value + qa_tool_instance.answer_question.return_value = answer + + # when + response = await orchestrator.orchestrate("Test", []) + + # then + # Verify default message is set + assert any( + "requested information is not available" in str(r).lower() + for r in response + ) diff --git a/code/tests/utilities/test_azure_blob_storage_client.py b/code/tests/utilities/test_azure_blob_storage_client.py deleted file mode 100644 index fd46b0654..000000000 --- a/code/tests/utilities/test_azure_blob_storage_client.py +++ /dev/null @@ -1,193 +0,0 @@ -import pytest -from unittest.mock import ANY, MagicMock, patch -from backend.batch.utilities.helpers.azure_blob_storage_client import ( - AzureBlobStorageClient, -) - - -@pytest.fixture(autouse=True) -def env_helper_mock(): - with patch( - "backend.batch.utilities.helpers.azure_blob_storage_client.EnvHelper" - ) as mock: - env_helper = mock.return_value - env_helper.AZURE_AUTH_TYPE = "keys" - env_helper.AZURE_BLOB_ACCOUNT_NAME = "mock-account" - env_helper.AZURE_BLOB_ACCOUNT_KEY = "mock-key" - env_helper.AZURE_STORAGE_ACCOUNT_ENDPOINT = ( - f"https://{env_helper.AZURE_BLOB_ACCOUNT_NAME}.blob.core.windows.net/" - ) - env_helper.AZURE_BLOB_CONTAINER_NAME = "mock-container" - - yield env_helper - - -@pytest.fixture() -def BlobServiceClientMock(): - with patch( - "backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient" - ) as mock: - yield mock - - -@pytest.mark.parametrize("exists,expected", [(True, True), (False, False)]) -def test_file_exists(BlobServiceClientMock: MagicMock, exists: bool, expected: bool): - # given - client = AzureBlobStorageClient() - blob_service_client_mock = BlobServiceClientMock.return_value - blob_client_mock = blob_service_client_mock.get_blob_client.return_value - blob_client_mock.exists.return_value = exists - - # when - result = client.file_exists("mock-file") - - # then - assert result is expected - - blob_service_client_mock.get_blob_client.assert_called_once_with( - container="mock-container", blob="mock-file" - ) - - -@patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_blob_sas") -@patch("backend.batch.utilities.helpers.azure_blob_storage_client.BlobServiceClient") -@pytest.mark.parametrize( - "content_type, expected_content_type, metadata", - [("text/pdf", "text/pdf", {"title": "mock-file"}), (None, "text/plain", None)], -) -def test_upload_file( - BlobServiceClientMock: MagicMock, - generate_blob_sas_mock: MagicMock, - content_type: str, - expected_content_type: str, - metadata: dict[str, str], -): - # given - client = AzureBlobStorageClient() - blob_service_client_mock = BlobServiceClientMock.return_value - blob_client_mock = blob_service_client_mock.get_blob_client.return_value - blob_client_mock.url = "mock_url" - generate_blob_sas_mock.return_value = "mock-sas" - - # when - result = client.upload_file( - str.encode("mock-data"), "mock-file", content_type, metadata - ) - - # then - blob_client_mock.upload_blob.assert_called_once_with( - str.encode("mock-data"), - overwrite=True, - content_settings=ANY, - metadata=metadata, - ) - _, kwargs = blob_client_mock.upload_blob.call_args - assert kwargs["content_settings"]["content_type"] == expected_content_type - - generate_blob_sas_mock.assert_called_once_with( - "mock-account", - "mock-container", - "mock-file", - user_delegation_key=None, - account_key="mock-key", - permission="r", - expiry=ANY, - ) - - assert result == "mock_url?mock-sas" - - -def test_delete_file(BlobServiceClientMock: MagicMock): - # given - client = AzureBlobStorageClient() - blob_service_client_mock = BlobServiceClientMock.return_value - blob_client_mock = blob_service_client_mock.get_blob_client.return_value - - # when - client.delete_file("mock-file") - - # then - blob_service_client_mock.get_blob_client.assert_called_once_with( - container="mock-container", blob="mock-file" - ) - blob_client_mock.delete_blob.assert_called_once() - - -def test_upsert_blob_metadata(BlobServiceClientMock: MagicMock): - # given - client = AzureBlobStorageClient() - blob_service_client_mock = BlobServiceClientMock.return_value - blob_client_mock = blob_service_client_mock.get_blob_client.return_value - blob_client_mock.get_blob_properties.return_value.metadata = { - "other-key": "other-value", - "old-key": "old-value", - } - - # when - client.upsert_blob_metadata( - "mock-file", - { - "old-key": "new-value", - "new-key": "some-value", - }, - ) - - # then - blob_service_client_mock.get_blob_client.assert_called_once_with( - container="mock-container", blob="mock-file" - ) - blob_client_mock.set_blob_metadata.assert_called_once_with( - metadata={ - "other-key": "other-value", - "old-key": "new-value", - "new-key": "some-value", - } - ) - - -@patch("backend.batch.utilities.helpers.azure_blob_storage_client.generate_blob_sas") -def test_get_blob_sas(generate_blob_sas_mock: MagicMock): - # given - client = AzureBlobStorageClient() - generate_blob_sas_mock.return_value = "mock-sas" - - # when - result = client.get_blob_sas("mock-file") - - # then - assert ( - result - == "https://mock-account.blob.core.windows.net/mock-container/mock-file?mock-sas" - ) - generate_blob_sas_mock.assert_called_once_with( - account_name="mock-account", - container_name="mock-container", - blob_name="mock-file", - user_delegation_key=None, - account_key="mock-key", - permission="r", - expiry=ANY, - ) - - -@patch( - "backend.batch.utilities.helpers.azure_blob_storage_client.generate_container_sas" -) -def test_get_container_sas(generate_container_sas_mock: MagicMock): - # given - client = AzureBlobStorageClient() - generate_container_sas_mock.return_value = "mock-sas" - - # when - result = client.get_container_sas() - - # then - assert result == "?mock-sas" - generate_container_sas_mock.assert_called_once_with( - account_name="mock-account", - container_name="mock-container", - user_delegation_key=None, - account_key="mock-key", - permission="r", - expiry=ANY, - ) diff --git a/code/tests/utilities/tools/test_content_safety_checker.py b/code/tests/utilities/tools/test_content_safety_checker.py index 68e039459..0a1ea92cf 100644 --- a/code/tests/utilities/tools/test_content_safety_checker.py +++ b/code/tests/utilities/tools/test_content_safety_checker.py @@ -1,5 +1,8 @@ +from unittest.mock import MagicMock, patch import pytest +from azure.core.exceptions import HttpResponseError from backend.batch.utilities.tools.content_safety_checker import ContentSafetyChecker +from backend.batch.utilities.common.answer import Answer @pytest.mark.azure("This test requires Azure Content Safety configured") @@ -13,3 +16,357 @@ def test_document_chunking_layout(): assert cut.validate_output_and_replace_if_harmful(safe_input) == safe_input assert cut.validate_input_and_replace_if_harmful(unsafe_input) != unsafe_input assert cut.validate_output_and_replace_if_harmful(unsafe_input) != unsafe_input + + +@patch("backend.batch.utilities.tools.content_safety_checker.get_azure_credential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_init_with_rbac_authentication(env_helper_mock, client_mock, credential_mock): + """Test initialization with RBAC authentication.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "rbac" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.MANAGED_IDENTITY_CLIENT_ID = "test-client-id" + + # When + checker = ContentSafetyChecker() + + # Then + credential_mock.assert_called_once_with("test-client-id") + client_mock.assert_called_once_with( + "https://test.endpoint", credential_mock.return_value + ) + assert checker.content_safety_client == client_mock.return_value + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_init_with_key_authentication( + env_helper_mock, client_mock, key_credential_mock +): + """Test initialization with AzureKeyCredential authentication.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + # When + checker = ContentSafetyChecker() + + # Then + key_credential_mock.assert_called_once_with("test-key") + client_mock.assert_called_once_with( + "https://test.endpoint", key_credential_mock.return_value + ) + assert checker.content_safety_client == client_mock.return_value + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_process_answer_replaces_harmful_content( + env_helper_mock, client_mock, key_credential_mock +): + """Test process_answer filters and replaces harmful text.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock content safety response with harmful content detected + mock_response = MagicMock() + mock_category = MagicMock() + mock_category.severity = 2 # Harmful content + mock_response.categories_analysis = [mock_category] + + checker.content_safety_client.analyze_text = MagicMock(return_value=mock_response) + + answer = Answer( + question="test", + answer="harmful text", + source_documents=[], + prompt_tokens=10, + completion_tokens=20, + ) + response_template = "Content blocked" + + # When + result = checker.process_answer(answer, response_template=response_template) + + # Then + assert result.answer == "Content blocked" + checker.content_safety_client.analyze_text.assert_called_once() + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_validate_input_and_replace_if_harmful_with_safe_text( + env_helper_mock, client_mock, key_credential_mock +): + """Test validate_input_and_replace_if_harmful with safe text.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock content safety response with no harmful content + mock_response = MagicMock() + mock_category = MagicMock() + mock_category.severity = 0 # Safe content + mock_response.categories_analysis = [mock_category] + + checker.content_safety_client.analyze_text = MagicMock(return_value=mock_response) + + # When + result = checker.validate_input_and_replace_if_harmful("safe text") + + # Then + assert result == "safe text" + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_validate_input_and_replace_if_harmful_with_harmful_text( + env_helper_mock, client_mock, key_credential_mock +): + """Test validate_input_and_replace_if_harmful with harmful text.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock content safety response with harmful content detected + mock_response = MagicMock() + mock_category = MagicMock() + mock_category.severity = 2 # Harmful content + mock_response.categories_analysis = [mock_category] + + checker.content_safety_client.analyze_text = MagicMock(return_value=mock_response) + + # When + result = checker.validate_input_and_replace_if_harmful("harmful text") + + # Then + assert "Unfortunately, I am not able to process your question" in result + assert result != "harmful text" + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_validate_output_and_replace_if_harmful_with_safe_text( + env_helper_mock, client_mock, key_credential_mock +): + """Test validate_output_and_replace_if_harmful with safe text.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock content safety response with no harmful content + mock_response = MagicMock() + mock_category = MagicMock() + mock_category.severity = 0 # Safe content + mock_response.categories_analysis = [mock_category] + + checker.content_safety_client.analyze_text = MagicMock(return_value=mock_response) + + # When + result = checker.validate_output_and_replace_if_harmful("safe output") + + # Then + assert result == "safe output" + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_validate_output_and_replace_if_harmful_with_harmful_text( + env_helper_mock, client_mock, key_credential_mock +): + """Test validate_output_and_replace_if_harmful with harmful text.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock content safety response with harmful content detected + mock_response = MagicMock() + mock_category = MagicMock() + mock_category.severity = 3 # Harmful content + mock_response.categories_analysis = [mock_category] + + checker.content_safety_client.analyze_text = MagicMock(return_value=mock_response) + + # When + result = checker.validate_output_and_replace_if_harmful("harmful output") + + # Then + assert "Unfortunately, I have detected sensitive content in my answer" in result + assert result != "harmful output" + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_filter_text_and_replace_with_safe_content(env_helper_mock, client_mock, key_credential_mock): + """Test _filter_text_and_replace returns original text when safe.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock content safety response with all categories safe + mock_response = MagicMock() + mock_category1 = MagicMock() + mock_category1.severity = 0 + mock_category2 = MagicMock() + mock_category2.severity = 0 + mock_response.categories_analysis = [mock_category1, mock_category2] + + checker.content_safety_client.analyze_text = MagicMock(return_value=mock_response) + + # When + result = checker._filter_text_and_replace("safe text", "blocked") + + # Then + assert result == "safe text" + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_filter_text_and_replace_with_harmful_content(env_helper_mock, client_mock, key_credential_mock): + """Test _filter_text_and_replace replaces text when harmful content detected.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock content safety response with one harmful category + mock_response = MagicMock() + mock_category1 = MagicMock() + mock_category1.severity = 0 + mock_category2 = MagicMock() + mock_category2.severity = 4 # Harmful + mock_response.categories_analysis = [mock_category1, mock_category2] + + checker.content_safety_client.analyze_text = MagicMock(return_value=mock_response) + + # When + result = checker._filter_text_and_replace("harmful text", "Content blocked") + + # Then + assert result == "Content blocked" + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_filter_text_and_replace_with_http_error_with_error_details( + env_helper_mock, client_mock, key_credential_mock +): + """Test _filter_text_and_replace raises exception on HttpResponseError with error details.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock HttpResponseError with error details + error = MagicMock() + error.code = "InvalidRequest" + error.message = "Invalid text format" + http_error = HttpResponseError(message="HTTP error") + http_error.error = error + + checker.content_safety_client.analyze_text = MagicMock(side_effect=http_error) + + # When/Then + with pytest.raises(HttpResponseError): + checker._filter_text_and_replace("test", "blocked") + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_filter_text_and_replace_with_http_error_without_error_details( + env_helper_mock, client_mock, key_credential_mock +): + """Test _filter_text_and_replace raises exception on HttpResponseError without error details.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock HttpResponseError without error details + http_error = HttpResponseError(message="HTTP error") + http_error.error = None + + checker.content_safety_client.analyze_text = MagicMock(side_effect=http_error) + + # When/Then + with pytest.raises(HttpResponseError): + checker._filter_text_and_replace("test", "blocked") + + +@patch("backend.batch.utilities.tools.content_safety_checker.AzureKeyCredential") +@patch("backend.batch.utilities.tools.content_safety_checker.ContentSafetyClient") +@patch("backend.batch.utilities.tools.content_safety_checker.EnvHelper") +def test_filter_text_and_replace_checks_all_categories(env_helper_mock, client_mock, key_credential_mock): + """Test _filter_text_and_replace checks all categories and replaces on first harmful.""" + # Given + env_helper = env_helper_mock.return_value + env_helper.AZURE_AUTH_TYPE = "key" + env_helper.AZURE_CONTENT_SAFETY_ENDPOINT = "https://test.endpoint" + env_helper.AZURE_CONTENT_SAFETY_KEY = "test-key" + + checker = ContentSafetyChecker() + + # Mock content safety response with multiple categories, second one harmful + mock_response = MagicMock() + categories = [] + for i in range(4): + cat = MagicMock() + cat.severity = 2 if i == 1 else 0 # Second category is harmful + categories.append(cat) + mock_response.categories_analysis = categories + + checker.content_safety_client.analyze_text = MagicMock(return_value=mock_response) + + # When + result = checker._filter_text_and_replace("text with issues", "Replacement text") + + # Then + assert result == "Replacement text" diff --git a/docs/LOCAL_DEPLOYMENT.md b/docs/LOCAL_DEPLOYMENT.md index 8fbb4bebb..982cef772 100644 --- a/docs/LOCAL_DEPLOYMENT.md +++ b/docs/LOCAL_DEPLOYMENT.md @@ -1,321 +1,443 @@ -[Back to *Chat with your data* README](../README.md) +# Local Deployment Guide -# Local setup +## Overview -> **Note for macOS Developers**: If you are using macOS on Apple Silicon (ARM64) the DevContainer will **not** work. This is due to a limitation with the Azure Functions Core Tools (see [here](https://github.com/Azure/azure-functions-core-tools/issues/3112)). We recommend using the [Non DevContainer Setup](./NON_DEVCONTAINER_SETUP.md) instructions to run the accelerator locally. +This guide walks you through deploying the Chat with your Data solution accelerator to Azure from you local environment. The deployment process takes approximately 40-50 minutes for the default Development/Testing configuration and includes both infrastructure provisioning and application setup. -> **Note:** This solution accelerator requires **Azure Developer CLI (azd) version 1.18.0 or higher**. Please ensure you have the latest version installed before proceeding with deployment. [Download azd here](https://learn.microsoft.com/en-us/azure/developer/azure-developer-cli/install-azd). + -The easiest way to run this accelerator is in a VS Code Dev Containers, which will open the project in your local VS Code using the [Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers): +## Step 1: Prerequisites & Setup -1. Start Docker Desktop (install it if not already installed) -1. Open the project: - [![Open in Dev Containers](https://img.shields.io/static/v1?style=for-the-badge&label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/azure-samples/chat-with-your-data-solution-accelerator) -1. In the VS Code window that opens, once the project files show up (this may take several minutes), open a terminal window -1. Run `azd auth login` -1. Run `azd env set AZURE_APP_SERVICE_HOSTING_MODEL code` - This sets your environment to deploy code rather than rely on public containers, like the "Deploy to Azure" button. -1. To use an existing Log Analytics workspace, follow the [setup steps here](../docs/re-use-log-analytics.md) before running `azd up`. -1. To use an existing Resource Group, follow the [setup steps here](../docs/re-use-resource-group.md) before running `azd up`. -1. Run `azd up` - This will provision Azure resources and deploy the accelerator to those resources. +### 1.1 Azure Account Requirements - * **Important**: Beware that the resources created by this command will incur immediate costs, primarily from the AI Search resource. These resources may accrue costs even if you interrupt the command before it is fully executed. You can run `azd down` or delete the resources manually to avoid unnecessary spending. - * You will be prompted to select a subscription, and a location. That location list is based on the [OpenAI model availability table](https://learn.microsoft.com/azure/cognitive-services/openai/concepts/models#model-summary-table-and-region-availability) and may become outdated as availability changes. - * If you do, accidentally, chose the wrong location; you will have to ensure that you use `azd down` or delete the Resource Group as the deployment bases the location from this Resource Group. - > **Note:** If you deployed with `enableRedundancy=true` and Log Analytics workspace replication is enabled, you must first disable replication before running `azd down` else resource group delete will fail. Follow the steps in [Handling Log Analytics Workspace Deletion with Replication Enabled](./LogAnalyticsReplicationDisable.md), wait until replication returns `false`, then run `azd down`. +Ensure you have access to an [Azure subscription](https://azure.microsoft.com/free/) with the following permissions: -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. +| **Required Permission/Role** | **Scope** | **Purpose** | +|------------------------------|-----------|-------------| +| **Contributor** | Subscription level | Create and manage Azure resources | +| **User Access Administrator** | Subscription level | Manage user access and role assignments | +| **Role Based Access Control** | Subscription/Resource Group level | Configure RBAC permissions | +| **App Registration Creation** | Azure Active Directory | Create and configure authentication | -> NOTE: It may take up to an hour for the application to be fully deployed. If you see a "Python Developer" welcome screen or an error page, then wait a bit and refresh the page. +**🔍 How to Check Your Permissions:** -> NOTE: The default auth type uses keys that are stored in the Azure Keyvault. If you want to use RBAC-based auth (more secure), please run before deploying: +1. Go to [Azure Portal](https://portal.azure.com/) +2. Navigate to **Subscriptions** (search for "subscriptions" in the top search bar) +3. Click on your target subscription +4. In the left menu, click **Access control (IAM)** +5. Scroll down to see the table with your assigned roles - you should see: + - **Contributor** + - **User Access Administrator** + - **Role Based Access Control Administrator** (or similar RBAC role) -```bash -azd env set AZURE_AUTH_TYPE rbac -azd env set USE_KEY_VAULT false -``` +**For App Registration permissions:** +1. Go to **Microsoft Entra ID** → **Manage** → **App registrations** +2. Try clicking **New registration** +3. If you can access this page, you have the required permissions +4. Cancel without creating an app registration + +📖 **Detailed Setup:** Follow [Azure Account Set Up](./azure_account_setup.md) for complete configuration. + +### 1.2 Check Service Availability & Quota + +⚠️ **CRITICAL:** Before proceeding, ensure your chosen region has all required services available: + +**Required Azure Services:** +- [Azure OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/) +- [Azure Document Intelligence](https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence) +- [Azure Function App](https://learn.microsoft.com/en-us/azure/azure-functions/) +- [Azure App Service](https://learn.microsoft.com/en-us/azure/app-service/) +- [Azure Search Service](https://learn.microsoft.com/en-us/azure/search/) +- [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) +- [Azure PostgreSQL](https://learn.microsoft.com/en-us/azure/postgresql/) +- [Azure Cosmos DB](https://learn.microsoft.com/en-us/azure/cosmos-db/) +- [Azure Queue Storage](https://learn.microsoft.com/en-us/azure/storage/queues/) +- [gpt-4.1, text-embeddings-ada-002 Model Capacity](https://learn.microsoft.com/en-us/azure/ai-foundry/foundry-models/concepts/models-sold-directly-by-azure) +- [Azure Bot](https://learn.microsoft.com/en-us/azure/bot-service) (optional: Teams extension only) +- [Teams](https://learn.microsoft.com/en-us/microsoftteams/teams-overview) (optional: Teams extension only) + +**Recommended Regions:** East US, East US2, Australia East, UK South, France Central + +🔍 **Check Availability:** Use [Azure Products by Region](https://azure.microsoft.com/en-us/explore/global-infrastructure/products-by-region/) to verify service availability. + +### 1.3 Quota Check (Optional) -Also please refer to the section on [setting up RBAC auth](#authenticate-using-rbac). +💡 **RECOMMENDED:** Check your Azure OpenAI quota availability before deployment for optimal planning. +📖 **Follow:** [Quota Check Instructions](./QuotaCheck.md) to ensure sufficient capacity. -## 🛠️ Troubleshooting -If you encounter any issues during the deployment process, please refer to the [TroubleShootingSteps](TroubleShootingSteps.md) document for detailed steps and solutions. +**Recommended Configuration:** -## Deployment Options & Steps +| **Model** | **Minimum Capacity** | **Recommended Capacity** | +|-----------|---------------------|--------------------------| +| **gpt-4.1** | 150k tokens | 200k tokens (for best performance) | +| **text-embedding-ada-002** | 100k tokens | 150k tokens (for best performance) | -### Sandbox or WAF Aligned Deployment Options +> **Note:** When you run `azd up`, the deployment will automatically show you regions with available quota, so this pre-check is optional but helpful for planning purposes. You can customize these settings later in [Step 3.3: Advanced Configuration](#33-advanced-configuration-optional). -The [`infra`](../infra) folder of the Chat With Your Data Solution Accelerator contains the [`main.bicep`](../infra/main.bicep) Bicep script, which defines all Azure infrastructure components for this solution. +📖 **Adjust Quota:** Follow [Azure AI Model Quota Settings](./azure_openai_model_quota_settings.md) if needed. -By default, the `azd up` command uses the [`main.parameters.json`](../infra/main.parameters.json) file to deploy the solution. This file is pre-configured for a **sandbox environment** — ideal for development and proof-of-concept scenarios, with minimal security and cost controls for rapid iteration. +## Step 2: Choose Your Development Environment -For **production deployments**, the repository also provides [`main.waf.parameters.json`](../infra/main.waf.parameters.json), which applies a [Well-Architected Framework (WAF) aligned](https://learn.microsoft.com/en-us/azure/well-architected/) configuration. This option enables additional Azure best practices for reliability, security, cost optimization, operational excellence, and performance efficiency, such as: +Select one of the following options to set up your Chat with your Data local deployment environment: - - Enhanced network security (e.g., Network protection with private endpoints) - - Stricter access controls and managed identities - - Logging, monitoring, and diagnostics enabled by default - - Resource tagging and cost management recommendations +### Environment Comparison -**How to choose your deployment configuration:** +| **Option** | **Best For** | **Prerequisites** | **Setup Time** | +|------------|--------------|-------------------|----------------| +| **VS Code Dev Containers** | Fastest setup, all tools included | Docker Desktop, VS Code | ~5-10 minutes | +| **Local Environment** | Full control, custom setup | All tools individually | ~15-30 minutes | -* Use the default `main.parameters.json` file for a **sandbox/dev environment** -* For a **WAF-aligned, production-ready deployment**, copy the contents of `main.waf.parameters.json` into `main.parameters.json` before running `azd up` +**💡 Recommendation:** For local development, start with **VS Code Dev Containers** - includes all tools pre-configured. --- -### VM Credentials Configuration +
+Option A: VS Code Dev Containers (Recommended) + +[![Open in Dev Containers](https://img.shields.io/static/v1?style=for-the-badge&label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/azure-samples/chat-with-your-data-solution-accelerator) + +⚠️ **Note for macOS Developers**: If you are using macOS on Apple Silicon (ARM64) the DevContainer will **not** work. This is due to a limitation with the Azure Functions Core Tools (see [here](https://github.com/Azure/azure-functions-core-tools/issues/3112)). We recommend using the [Non DevContainer Setup](./NON_DEVCONTAINER_SETUP.md) instructions to run the accelerator locally. + +**Prerequisites:** +- [Docker Desktop](https://www.docker.com/products/docker-desktop/) installed and running +- [VS Code](https://code.visualstudio.com/) with [Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) + +**Steps:** +1. Start Docker Desktop +2. Click the badge above to open in Dev Containers +3. Wait for the container to build and start (includes all development tools) +4. Proceed to [Step 3: Configure Azure Resources](#step-3-configure-deployment-settings) + +**💡 Tip:** Visual Studio Code should recognize the available development container and ask you to open the folder using it. For additional details on connecting to remote containers, please see the [Open an existing folder in a container](https://code.visualstudio.com/docs/remote/containers#_quick-start-open-an-existing-folder-in-a-container) quickstart. + +
+ +
+Option B: Local Environment + +**Required Tools:** +- A code editor. We recommend [Visual Studio Code](https://code.visualstudio.com/), with the following extensions: + - [Azure Functions](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-azurefunctions) + - [Azure Tools](https://marketplace.visualstudio.com/items?itemName=ms-vscode.vscode-node-azure-pack) + - [Bicep](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-bicep) + - [Pylance](https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance) + - [Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python) + - [Teams Toolkit](https://marketplace.visualstudio.com/items?itemName=TeamsDevApp.ms-teams-vscode-extension) **Optional** +- [Python 3.11](https://www.python.org/downloads/release/python-3119/) +- [Node.js LTS](https://nodejs.org/en) +- [Azure Developer CLI](https://learn.microsoft.com/en-us/azure/developer/azure-developer-cli/install-azd) (v1.18.0+) +- [Azure Functions Core Tools](https://docs.microsoft.com/en-us/azure/azure-functions/functions-run-local) +- [Git](https://git-scm.com/downloads) +- [PowerShell 7.0+](https://learn.microsoft.com/en-us/powershell/scripting/install/installing-powershell) + +**Setup Steps:** +1. Install all required deployment tools listed above +2. Clone the repository: + ```shell + azd init -t chat-with-your-data-solution-accelerator + ``` +3. Open the project folder in your terminal +4. Review the contents of [.devcontainer/setupEnv.sh](../.devcontainer/setupEnv.sh) and then run it: + + ```bash + .devcontainer/setupEnv.sh + ``` +5. Select the Python interpreter in Visual Studio Code: + + - Open the command palette (`Ctrl+Shift+P` or `Cmd+Shift+P`). + - Type `Python: Select Interpreter`. + - Select the Python 3.11 environment created by Poetry. +6. Proceed to [Step 3: Configure Azure Resources](#step-3-configure-deployment-settings) + +**PowerShell Users:** If you encounter script execution issues, run: +```powershell +Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass +``` -By default, the solution sets the VM administrator username and password from environment variables. +
-To set your own VM credentials before deployment, use: +## Step 3: Configure Deployment Settings -```sh +Review the configuration options below. You can customize any settings that meet your needs, or leave them as defaults to proceed with a standard deployment. + +### 3.1 Choose Deployment Type (Optional) + +| **Aspect** | **Development/Testing (Default)** | **Production** | +|------------|-----------------------------------|----------------| +| **Configuration File** | `main.parameters.json` (sandbox) | Copy `main.waf.parameters.json` to `main.parameters.json` | +| **Security Controls** | Minimal (for rapid iteration) | Enhanced (production best practices) | +| **Cost** | Lower costs | Cost optimized | +| **Use Case** | POCs, development, testing | Production workloads | +| **Framework** | Basic configuration | [Well-Architected Framework](https://learn.microsoft.com/en-us/azure/well-architected/) | +| **Features** | Core functionality | Reliability, security, operational excellence | + +**To use production configuration:** + +Copy the contents from the production configuration file to your main parameters file: + +1. Navigate to the `infra` folder in your project +2. Open `main.waf.parameters.json` in a text editor (like Notepad, VS Code, etc.) +3. Select all content (Ctrl+A) and copy it (Ctrl+C) +4. Open `main.parameters.json` in the same text editor +5. Select all existing content (Ctrl+A) and paste the copied content (Ctrl+V) +6. Save the file (Ctrl+S) + +### 3.2 Set VM Credentials (Optional - Production Deployment Only) + +> **Note:** This section only applies if you selected **Production** deployment type in section 3.1. VMs are not deployed in the default Development/Testing configuration. + +By default, random GUIDs are generated for VM credentials. To set custom credentials: + +```shell azd env set AZURE_ENV_VM_ADMIN_USERNAME azd env set AZURE_ENV_VM_ADMIN_PASSWORD ``` -> [!TIP] -> Always review and adjust parameter values (such as region, capacity, security settings and log analytics workspace configuration) to match your organization's requirements before deploying. For production, ensure you have sufficient quota and follow the principle of least privilege for all identities and role assignments. +### 3.3 Advanced Configuration (Optional) + +
+Configurable Parameters + +You can customize various deployment settings before running `azd up`, including Azure regions, AI model configurations (deployment type, version, capacity), container registry settings, and resource names. + +📖 **Complete Guide:** See [Parameter Customization Guide](./customizing_azd_parameters.md) for the full list of available parameters and their usage. + +
+ +
+Reuse Existing Resources + +To optimize costs and integrate with your existing Azure infrastructure, you can configure the solution to reuse compatible resources already deployed in your subscription. -> [!IMPORTANT] -> The WAF-aligned configuration is under active development. More Azure Well-Architected recommendations will be added in future updates. +**Supported Resources for Reuse:** -## Detailed Development Container setup instructions +- **Log Analytics Workspace:** Integrate with your existing monitoring infrastructure by reusing an established Log Analytics workspace for centralized logging and monitoring. [Configuration Guide](./re-use-log-analytics.md) -The solution contains a [development container](https://code.visualstudio.com/docs/remote/containers) with all the required tooling to develop and deploy the accelerator. To deploy the Chat With Your Data accelerator using the provided development container you will also need: +- **Resource Group:** Leverage an existing resource group to organize resources within your current Azure infrastructure. Follow the [setup steps here](./re-use-resource-group.md) before running `azd up` -* [Visual Studio Code](https://code.visualstudio.com) -* [Remote containers extension for Visual Studio Code](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) +**Key Benefits:** +- **Cost Optimization:** Eliminate duplicate resource charges +- **Operational Consistency:** Maintain unified monitoring and AI infrastructure +- **Faster Deployment:** Skip resource creation for existing compatible services +- **Simplified Management:** Reduce the number of resources to manage and monitor -If you are running this on Windows, we recommend you clone this repository in [WSL](https://code.visualstudio.com/docs/remote/wsl) +**Important Considerations:** +- Ensure existing resources meet the solution's requirements and are in compatible regions +- Review access permissions and configurations before reusing resources +- Consider the impact on existing workloads when sharing resources -```cmd -git clone https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator +
+ +## Step 4: Deploy the Solution + + + +### 4.1 Authenticate with Azure + +```shell +azd auth login +``` + +**For specific tenants:** +```shell +azd auth login --tenant-id ``` -Open the cloned repository in Visual Studio Code and connect to the development container. +> **Finding Tenant ID:** + > 1. Open the [Azure Portal](https://portal.azure.com/). + > 2. Navigate to **Microsoft Entra ID** from the left-hand menu. + > 3. Under the **Overview** section, locate the **Tenant ID** field. Copy the value displayed. -```cmd -code . +### 4.2 Start Deployment + +```shell +azd up ``` -!!! tip - Visual Studio Code should recognize the available development container and ask you to open the folder using it. For additional details on connecting to remote containers, please see the [Open an existing folder in a container](https://code.visualstudio.com/docs/remote/containers#_quick-start-open-an-existing-folder-in-a-container) quickstart. +**During deployment, you'll be prompted for:** +1. **Environment name** (e.g., "cwyd") - Must be 3-16 characters long, alphanumeric only +2. **Azure subscription** selection +3. **Location** - Select the region where your infrastructure resources will be deployed +5. **Resource group** selection (create new or use existing) + +**Expected Duration:** 25-30 minutes for default configuration -When you start the development container for the first time, the container will be built. This usually takes a few minutes. **Please use the development container for all further steps.** + -The files for the dev container are located in `/.devcontainer/` folder. +### 4.3 Get Application URL -## Local debugging +After successful deployment, locate your application URLs: -To customize the accelerator or run it locally, you must provision the Azure resources by running `azd provision` in a Terminal. This will generate a `.env` for you and you can use the "Run and Debug" (Ctrl + Shift + D) command to chose which part of the accelerator to run. There is an [environment variable values table](#environment-variables) below. +1. Open the [Azure Portal](https://portal.azure.com/) +2. Navigate to your resource group +3. Locate the **App Services** - you'll find two deployments: + - **Chat Application:** App Service without "admin" suffix - Main chat interface + - **Admin Application:** App Service with "admin" suffix - Data management interface +4. Click on each App Service and copy its **Default Domain** URL from the overview page +**Example URLs:** +- Chat App: `https://app-.azurewebsites.net` +- Admin App: `https://app--admin.azurewebsites.net` -To run the accelerator in local when the solution is secured by RBAC you need to assign some roles to your principal id. You can do it either manually or programatically. +⚠️ **Important:** Complete [Post-Deployment Steps](#step-5-post-deployment-configuration) before accessing the application. -### Manually assign roles -You need to assign the following roles to your `PRINCIPALID` (you can get your 'principal id' from Microsoft Entra ID): +## Step 5: Post-Deployment Configuration -| Role | GUID | -|----|----| -| Cognitive Services OpenAI User | 5e0bd9bd-7b93-4f28-af87-19fc36ad61bd | -| Cognitive Services User | a97b65f3-24c7-4388-baec-2e87135dc908 | -| Cosmos DB SQL Data Contributor | 00000000-0000-0000-0000-000000000002 ([How to assign](https://learn.microsoft.com/en-us/azure/cosmos-db/how-to-setup-rbac#role-assignments)) | -| Key Vault Secrets User | 4633458b-17de-408a-b874-0445c86b69e6 | -| Search Index Data Contributor | 8ebe5a00-799e-43f5-93ac-243d3dce84a7 | -| Search Service Contributor | 7ca78c08-252a-4471-8644-bb5ff32d4ba0 | -| Storage Blob Data Contributor | ba92f5b4-2d11-453d-a403-e96b0029c9fe | -| Storage Queue Data Contributor | 974c5e8b-45b9-4653-ba55-5f855dd0fb88 | +### 5.1 Configure Authentication (Required for Chat Application) -### Programatically assign roles -You can also update the `principalId` value with your own principalId in the `main.bicep` file. +**This step is mandatory for Chat Application access:** -### Authenticate using RBAC -To authenticate using API Keys, update the value of `AZURE_AUTH_TYPE` to keys. For accessing using 'rbac', manually make changes by following the below steps: -1. Ensure role assignments listed on [this page](https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/eliminate-dependency-on-key-based-authentication-in-azure/ba-p/3821880) -have been created. -2. Navigate to your Search service in the Azure Portal -3. Under Settings, select `Keys` -4. Select either `Role-based access control` or `Both` -5. Navigate to your App service in the Azure Portal -6. Under Settings, select `Configuration` -7. Set the value of the `AZURE_AUTH_TYPE` setting to `rbac` -8. Restart the application +1. Follow [App Authentication Configuration](./azure_app_service_auth_setup.md) +2. Wait up to 10 minutes for authentication changes to take effect -### Deploy services manually +### 5.2 Verify Deployment -You can deploy the full solution from local with the following command `azd deploy`. You can also deploy services individually +1. Access your application using the URL from Step 4.3 +2. Confirm the application loads successfully +3. Verify you can sign in with your authenticated account -|Service |Description | -|---------|---------| -|`azd deploy web` | A python app, enabling you to chat on top of your data. | -|`azd deploy adminweb` | A Streamlit app for the "admin" site where you can upload and explore your data. | -|`azd deploy function` | A python function app processing requests. | +### 5.3 Test the Application -### Running All Services Locally Using Docker Compose +**Quick Test Steps:** +1. Navigate to the admin site, where you can upload documents. Then select Ingest Data and add your data. You can find sample data in the [data](../data) directory. +2. Navigate to the Chat web app to start chatting on top of your data. -To run all applications using Docker Compose, you first need a `.env` file containing the configuration for your -provisioned resources. This file can be created manually at the root of the project. Alternatively, if resources were -provisioned using `azd provision` or `azd up`, a `.env` file is automatically generated in the `.azure//.env` -file. To get your `` run `azd env list` to see which env is default. +## Step 6: Clean Up (Optional) -Set APP_ENV in your `.env` file to control Azure authentication. Set the environment variable to dev to use Azure CLI credentials, or to prod to use Managed Identity for production. Ensure you're logged in via az login when using dev in local. To configure your environment, ensure that APP_ENV is set to **"dev"** in your .env file. +### Remove All Resources +```shell +azd down +``` +> **Note:** If you deployed with `enableRedundancy=true` and Log Analytics workspace replication is enabled, you must first disable replication before running `azd down` else resource group delete will fail. Follow the steps in [Handling Log Analytics Workspace Deletion with Replication Enabled](./LogAnalyticsReplicationDisable.md), wait until replication returns `false`, then run `azd down`. -The `AzureWebJobsStorage` needs to be added to your `.env` file manually. This can be retrieved from the function -settings via the Azure Portal. +### Manual Cleanup (if needed) +If deployment fails or you need to clean up manually: +- Follow [Delete Resource Group Guide](./delete_resource_group.md) -To start the services, you can use either of the following commands: -- `make docker-compose-up` -- `cd docker && AZD_ENV_FILE= docker-compose up` +## Managing Multiple Environments -**Note:** By default, these commands will run the latest Docker images built from the main branch. If you wish to use a -different image, you will need to modify the `docker/docker-compose.yml` file accordingly. +### Recover from Failed Deployment -### Develop & run the frontend locally +If your deployment failed or encountered errors, here are the steps to recover: -For faster development, you can run the frontend Typescript React UI app and the Python Flask api app in development mode. This allows the app to "hot reload" meaning your changes will automatically be reflected in the app without having to refresh or restart the local servers. +
+Recover from Failed Deployment -They can be launched locally from vscode (Ctrl+Shift+D) and selecting "Launch Frontend (api)" and "Launch Frontend (UI). You will also be able to place breakpoints in the code should you wish. This will automatically install any dependencies for Node and Python. +**If your deployment failed or encountered errors:** +1. **Try a different region:** Create a new environment and select a different Azure region during deployment +2. **Clean up and retry:** Use `azd down` to remove failed resources, then `azd up` to redeploy +3. **Fresh start:** Create a completely new environment with a different name -#### Starting the Flask app in dev mode from the command line (optional) -This step is included if you cannot use the Launch configuration in VSCode. Open a terminal and enter the following commands +**Example Recovery Workflow:** ```shell -cd code -poetry run flask run +# Remove failed deployment (optional) +azd down + +# Create new environment (3-16 chars, alphanumeric only) +azd env new cwydretry + +# Deploy with different settings/region +azd up ``` -#### Starting the Typescript React app in dev mode (optional) -This step is included if you cannot use the Launch configuration in VSCode. Open a new separate terminal and enter the following commands: +
+ +### Creating a New Environment + +If you need to deploy to a different region, test different configurations, or create additional environments: + +
+Create a New Environment + +**Create Environment Explicitly:** ```shell -cd code\frontend -npm install -npm run dev +# Create a new named environment (3-16 characters, alphanumeric only) +azd env new + +# Select the new environment +azd env select + +# Deploy to the new environment +azd up ``` -The local vite server will return a url that you can use to access the chat interface locally, such as `http://localhost:5174/`. -### Develop & run the admin app +**Example:** +```shell +# Create a new environment for production (valid: 3-16 chars) +azd env new cwydprod + +# Switch to the new environment +azd env select cwydprod -The admin app can be launched locally from vscode (Ctrl+Shift+D) and selecting "Launch Admin site". You will also be able to place breakpoints in the Python Code should you wish. +# Deploy with fresh settings +azd up +``` -This should automatically open `http://localhost:8501/` and render the admin interface. +> **Environment Name Requirements:** +> - **Length:** 3-16 characters +> - **Characters:** Alphanumeric only (letters and numbers) +> - **Valid examples:** `cwyd`, `test123`, `myappdev`, `prod2024` +> - **Invalid examples:** `cd` (too short), `my-very-long-environment-name` (too long), `test_env` (underscore not allowed), `myapp-dev` (hyphen not allowed) -### Develop & run the batch processing functions +
-If you want to develop and run the batch processing functions container locally, use the following commands. +
+Switch Between Environments -#### Running the batch processing locally +**List Available Environments:** +```shell +azd env list +``` -First, install [Azure Functions Core Tools](https://learn.microsoft.com/en-us/azure/azure-functions/functions-run-local?tabs=windows%2Cportal%2Cv2%2Cbash&pivots=programming-language-python). +**Switch to Different Environment:** +```shell +azd env select +``` +**View Current Environment Variables:** ```shell -cd code\backend\batch -poetry run func start +azd env get-values ``` -Or use the [Azure Functions VS Code extension](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-azurefunctions). - -#### Debugging the batch processing functions locally -Rename the file `local.settings.json.sample` in the `batch` folder to `local.settings.json` and update the `AzureWebJobsStorage__accountName` value with the storage account name. - -Copy the .env file from [previous section](#local-debugging) to the `batch` folder. - -Execute the above [shell command](#L81) to run the function locally. You may need to stop the deployed function on the portal so that all requests are debugged locally. To trigger the function, you can click on the corresponding URL that will be printed to the terminal. - -## Environment variables - -| App Setting | Value | Note | -| --- | --- | ------------- | -|ADVANCED_IMAGE_PROCESSING_MAX_IMAGES | 1 | The maximum number of images to pass to the vision model in a single request| -|APPLICATIONINSIGHTS_CONNECTION_STRING||The Application Insights connection string to store the application logs| -|APP_ENV | Prod | Application Environment (Prod, Dev, etc.)| -|AZURE_AUTH_TYPE | keys | The default is to use API keys. Change the value to 'rbac' to authenticate using Role Based Access Control. For more information refer to section [Authenticate using RBAC](#authenticate-using-rbac)| -|AZURE_BLOB_ACCOUNT_KEY||The key of the Azure Blob Storage for storing the original documents to be processed| -|AZURE_BLOB_ACCOUNT_NAME||The name of the Azure Blob Storage for storing the original documents to be processed| -|AZURE_BLOB_CONTAINER_NAME||The name of the Container in the Azure Blob Storage for storing the original documents to be processed| -|AZURE_CLIENT_ID | | Client ID for Azure authentication (required for LangChain AzureSearch vector store)| -|AZURE_COMPUTER_VISION_ENDPOINT | | The endpoint of the Azure Computer Vision service (if useAdvancedImageProcessing=true)| -|AZURE_COMPUTER_VISION_VECTORIZE_IMAGE_API_VERSION | 2024-02-01 | The API version for Azure Computer Vision Vectorize Image| -|AZURE_COMPUTER_VISION_VECTORIZE_IMAGE_MODEL_VERSION | 2023-04-15 | The model version for Azure Computer Vision Vectorize Image| -|AZURE_CONTENT_SAFETY_ENDPOINT | | The endpoint of the Azure AI Content Safety service| -|AZURE_CONTENT_SAFETY_KEY | | The key of the Azure AI Content Safety service| -|AZURE_COSMOSDB_ACCOUNT_NAME | | The name of the Azure Cosmos DB account (when using CosmosDB)| -|AZURE_COSMOSDB_CONVERSATIONS_CONTAINER_NAME | | The name of the Azure Cosmos DB conversations container (when using CosmosDB)| -|AZURE_COSMOSDB_DATABASE_NAME | | The name of the Azure Cosmos DB database (when using CosmosDB)| -|AZURE_COSMOSDB_ENABLE_FEEDBACK | true | Whether to enable feedback functionality in Cosmos DB| -|AZURE_FORM_RECOGNIZER_ENDPOINT||The name of the Azure Form Recognizer for extracting the text from the documents| -|AZURE_FORM_RECOGNIZER_KEY||The key of the Azure Form Recognizer for extracting the text from the documents| -|AZURE_KEY_VAULT_ENDPOINT | | The endpoint of the Azure Key Vault for storing secrets| -|AZURE_OPENAI_API_KEY||One of the API keys of your Azure OpenAI resource| -|AZURE_OPENAI_API_VERSION|2024-02-01|API version when using Azure OpenAI on your data| -|AZURE_OPENAI_EMBEDDING_MODEL|text-embedding-ada-002|The name of your Azure OpenAI embeddings model deployment| -|AZURE_OPENAI_EMBEDDING_MODEL_NAME|text-embedding-ada-002|The name of the embeddings model (can be found in Azure AI Foundry)| -|AZURE_OPENAI_EMBEDDING_MODEL_VERSION|2|The version of the embeddings model to use (can be found in Azure AI Foundry)| -|AZURE_OPENAI_MAX_TOKENS|1000|The maximum number of tokens allowed for the generated answer.| -|AZURE_OPENAI_MODEL||The name of your model deployment| -|AZURE_OPENAI_MODEL_NAME|gpt-4.1|The name of the model| -|AZURE_OPENAI_MODEL_VERSION|2024-05-13|The version of the model to use| -|AZURE_OPENAI_RESOURCE||the name of your Azure OpenAI resource| -|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_STREAM | true | Whether or not to stream responses from Azure OpenAI| -|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_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_POSTGRESQL_DATABASE_NAME | postgres | The name of the Azure PostgreSQL database (when using PostgreSQL)| -|AZURE_POSTGRESQL_HOST_NAME | | The hostname of the Azure PostgreSQL server (when using PostgreSQL)| -|AZURE_POSTGRESQL_USER | | The username for Azure PostgreSQL authentication (when using PostgreSQL)| -|AZURE_SEARCH_CHUNK_COLUMN | chunk | Field from your Azure AI Search index that contains chunk information| -|AZURE_SEARCH_CONTENT_COLUMN||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_CONTENT_VECTOR_COLUMN||Field from your Azure AI Search index for storing the content's Vector embeddings| -|AZURE_SEARCH_CONVERSATIONS_LOG_INDEX | conversations | The name of the Azure AI Search conversations log index| -|AZURE_SEARCH_DATASOURCE_NAME | | The name of the Azure AI Search datasource| -|AZURE_SEARCH_DIMENSIONS|1536| Azure OpenAI Embeddings dimensions. 1536 for `text-embedding-ada-002`. A full list of dimensions can be found [here](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models#embeddings-models). | -|AZURE_SEARCH_ENABLE_IN_DOMAIN|True|Limits responses to only queries relating to your data.| -|AZURE_SEARCH_FIELDS_ID|id|`AZURE_SEARCH_FIELDS_ID`: Field from your Azure AI Search index that gives a unique idenitfier of the document chunk. `id` if you don't have a specific requirement.| -|AZURE_SEARCH_FIELDS_METADATA|metadata|Field from your Azure AI Search index that contains metadata for the document. `metadata` if you don't have a specific requirement.| -|AZURE_SEARCH_FIELDS_TAG|tag|Field from your Azure AI Search index that contains tags for the document. `tag` if you don't have a specific requirement.| -|AZURE_SEARCH_FILENAME_COLUMN||`AZURE_SEARCH_FILENAME_COLUMN`: Field from your Azure AI Search index that gives a unique idenitfier of the source of your data to display in the UI.| -|AZURE_SEARCH_FILTER||Filter to apply to search queries.| -|AZURE_SEARCH_INDEX||The name of your Azure AI Search Index| -|AZURE_SEARCH_INDEXER_NAME | | The name of the Azure AI Search indexer| -|AZURE_SEARCH_INDEX_IS_PRECHUNKED | false | Whether the search index is prechunked| -|AZURE_SEARCH_KEY||An **admin key** for your Azure AI Search resource| -|AZURE_SEARCH_LAYOUT_TEXT_COLUMN|layoutText|Field from your Azure AI Search index that contains the layout-aware text content of your documents. `layoutText` if you don't have a specific requirement.| -|AZURE_SEARCH_OFFSET_COLUMN | offset | Field from your Azure AI Search index that contains offset information| -|AZURE_SEARCH_SEMANTIC_SEARCH_CONFIG|default|The name of the semantic search configuration to use if using semantic search.| -|AZURE_SEARCH_SERVICE||The URL of your Azure AI Search resource. e.g. https://.search.windows.net| -|AZURE_SEARCH_SOURCE_COLUMN|source|Field from your Azure AI Search index that identifies the source of your data. `source` if you don't have a specific requirement.| -|AZURE_SEARCH_TEXT_COLUMN|text|Field from your Azure AI Search index that contains the main text content of your documents. `text` if you don't have a specific requirement.| -|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_TOP_K|5|The number of documents to retrieve from Azure AI Search.| -|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_USE_INTEGRATED_VECTORIZATION ||Whether to use [Integrated Vectorization](https://learn.microsoft.com/en-us/azure/search/vector-search-integrated-vectorization). If the database type is PostgreSQL, set this to false.| -|AZURE_SEARCH_USE_SEMANTIC_SEARCH|False|Whether or not to use semantic search| -|AZURE_SPEECH_RECOGNIZER_LANGUAGES | en-US,fr-FR,de-DE,it-IT | Comma-separated list of languages to recognize from speech input| -|AZURE_SPEECH_REGION_ENDPOINT | | The regional endpoint of the Azure Speech service| -|AZURE_SPEECH_SERVICE_KEY | | The key of the Azure Speech service| -|AZURE_SPEECH_SERVICE_NAME | | The name of the Azure Speech service| -|AZURE_SPEECH_SERVICE_REGION | | The region (location) of the Azure Speech service| -|AzureWebJobsStorage__accountName||The name of the Azure Blob Storage account for the Azure Functions Batch processing| -|BACKEND_URL||The URL for the Backend Batch Azure Function. Use http://localhost:7071 for local execution| -|CONVERSATION_FLOW | custom | Chat conversation type: custom or byod (Bring Your Own Data)| -|DATABASE_TYPE | PostgreSQL | The type of database to deploy (cosmos or postgres)| -|DOCUMENT_PROCESSING_QUEUE_NAME|doc-processing|The name of the Azure Queue to handle the Batch processing| -|FUNCTION_KEY | | The function key for accessing the backend Azure Function| -|LOGLEVEL | INFO | The log level for application logging (CRITICAL, ERROR, WARN, INFO, DEBUG)| -|PACKAGE_LOGGING_LEVEL | WARNING | Enhanced: Azure SDK package logging level (CRITICAL, ERROR, WARN, INFO, DEBUG)| -|AZURE_LOGGING_PACKAGES | (optional) | Enhanced: Comma-separated list of Azure logger packages to configure. If not provided, no Azure SDK logging is configured.| -|MANAGED_IDENTITY_CLIENT_ID | | The client ID of the user-assigned managed identity| -|MANAGED_IDENTITY_RESOURCE_ID | | The resource ID of the user-assigned managed identity| -|OPEN_AI_FUNCTIONS_SYSTEM_PROMPT | | System prompt for OpenAI functions orchestration| -|ORCHESTRATION_STRATEGY | openai_function | Orchestration strategy. Use Azure OpenAI Functions (openai_function), Semantic Kernel (semantic_kernel), LangChain (langchain) or Prompt Flow (prompt_flow) for messages orchestration. If you are using a new model version 0613 select any strategy, if you are using a 0314 model version select "langchain". Note that both `openai_function` and `semantic_kernel` use OpenAI function calling. Prompt Flow option is still in development and does not support RBAC or integrated vectorization as of yet.| -|SEMANTIC_KERNEL_SYSTEM_PROMPT | | System prompt used by the Semantic Kernel orchestration| -|USE_ADVANCED_IMAGE_PROCESSING | false | Whether to enable the use of a vision LLM and Computer Vision for embedding images. If the database type is PostgreSQL, set this to false.| -|USE_KEY_VAULT | true | Whether to use Azure Key Vault for storing secrets| - -## Bicep - -A [Bicep file](../infra/main.bicep) is used to generate the [ARM template](../infra/main.json). You can deploy this accelerator by the following command if you do not want to use `azd`. +
+ +### Best Practices for Multiple Environments + +- **Use descriptive names:** `cwyddev`, `cwydprod`, `cwydtest` (remember: 3-16 chars, alphanumeric only) +- **Different regions:** Deploy to multiple regions for testing quota availability +- **Separate configurations:** Each environment can have different parameter settings +- **Clean up unused environments:** Use `azd down` to remove environments you no longer need + +## Deploy Using Bicep Directly + +If you prefer not to use `azd`, you can deploy using the Bicep file directly. + +A [Bicep file](../infra/main.bicep) is used to generate the [ARM template](../infra/main.json). You can deploy this accelerator with the following command: ```sh -az deployment sub create --template-file ./infra/main.bicep --subscription {your_azure_subscription_id} --location {search_location} - ``` +az deployment sub create --template-file ./infra/main.bicep --subscription {your_azure_subscription_id} --location {your_preferred_location} +``` + +## Next Steps + +Now that your deployment is complete and tested, explore these resources to enhance your experience: + +📚 **Learn More:** +- [Model Configuration](./model_configuration.md) - Configure AI models and parameters +- [Conversation Flow Options](./conversation_flow_options.md) - Customize conversation flow behavior +- [Best Practices](./best_practices.md) - Best practices for deployment and usage +- [Local Development Setup](./LocalDevelopmentSetup.md) - Set up your local development environment +- [Advanced Image Processing](./advanced_image_processing.md) - Enable and configure vision capabilities +- [Integrated Vectorization](./integrated_vectorization.md) - Understanding integrated vectorization +- [Teams Extension](./teams_extension.md) - Integrating with Microsoft Teams + +## Need Help? +- 🛠️ **Troubleshooting: ** Refer to the [TroubleShootingSteps](TroubleShootingSteps.md) document +- 💬 **Support:** Review [Support Guidelines](../SUPPORT.md) +- 🔧 **Development:** See [Contributing Guide](../CONTRIBUTING.md) + +--- + +[Back to *Chat with your data* README](../README.md) diff --git a/docs/LocalDevelopmentSetup.md b/docs/LocalDevelopmentSetup.md new file mode 100644 index 000000000..3480589db --- /dev/null +++ b/docs/LocalDevelopmentSetup.md @@ -0,0 +1,1195 @@ +# Local Development Setup Guide + +This guide provides comprehensive instructions for setting up the Chat With Your Data Solution Accelerator for local development across Windows, Linux, and macOS platforms. + +## Important Setup Notes + +### Multi-Service Architecture + +This application consists of **four separate services** that run independently: + +1. **Admin Web** - Streamlit application for data management +2. **Backend API** - Python Flask application for REST endpoints +3. **Frontend** - React-based user interface +4. **Batch Processing Function** - Azure Function for document processing + +> **⚠️ Critical: Each service must run in its own terminal/console window** +> +> - **Do NOT close terminals** while services are running +> - Open **4 separate terminal windows** for local development +> - Each service will occupy its terminal and show live logs +> +> **Terminal Organization:** +> - **Terminal 1**: Admin Web - Streamlit server on port 8501 +> - **Terminal 2**: Backend API - Flask server on port 5050 +> - **Terminal 3**: Frontend - Development server on port 5174 +> - **Terminal 4** (Optional): Batch Processing Function - Azure Functions runtime + +### Path Conventions + +**All paths in this guide are relative to the repository root directory.** Before starting any step, ensure you are in the repository root: + +```bash +# Verify you're in the correct location +pwd # Linux/macOS - should show: .../chat-with-your-data-solution-accelerator +Get-Location # Windows PowerShell - should show: ...\chat-with-your-data-solution-accelerator + +# If not, navigate to repository root +cd path/to/chat-with-your-data-solution-accelerator +``` + +**Repository Structure:** + +```bash +chat-with-your-data-solution-accelerator/ ← Repository root (start here) +├── code/ +│ ├── app.py ← Backend API entry point +│ ├── create_app.py ← Backend API factory +│ ├── backend/ +│ │ ├── Admin.py ← Admin Web entry point +│ │ ├── batch/ +│ │ │ ├── function_app.py ← Batch Function entry point +│ │ │ └── .env ← Batch function config (copy from main .env) +│ ├── frontend/ ← Frontend entry point +│ │ ├── vite.config.ts +│ │ └── src/ +├── .azure/ +│ └── / +│ └── .env ← Main .env file (generated by azd provision) +└── docs/ ← You are here +``` + +> **⚠️ Important**: Environment variables are automatically generated when you run `azd provision`. You may need to manually configure some values as described in the steps below. + +## Step 1: Prerequisites - Install Required Tools + +### Windows Development + +#### Option 1: Native Windows (PowerShell) + +```powershell +# Install Python 3.11 +winget install Python.Python.3.11 + +# Install Node.js LTS +winget install OpenJS.NodeJS.LTS + +# Install Azure Developer CLI +winget install Microsoft.Azd + +# Install Azure Functions Core Tools +winget install Microsoft.Azure.FunctionsCoreTools + +# Install Visual Studio Code +winget install Microsoft.VisualStudioCode +``` + +#### Option 2: Windows with WSL2 (Recommended) + +```powershell +# Install WSL2 first (run in PowerShell as Administrator) +wsl --install -d Ubuntu + +# Then in WSL2 Ubuntu terminal: +sudo apt update && sudo apt install python3.11 python3.11-venv git curl nodejs npm -y + +# Install Azure CLI +curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash + +# Install Azure Functions Core Tools +wget -q https://packages.microsoft.com/config/ubuntu/$(lsb_release -rs)/packages-microsoft-prod.deb +sudo dpkg -i packages-microsoft-prod.deb +sudo apt-get update +sudo apt-get install azure-functions-core-tools-4 + +# Install Azure Developer CLI +curl -fsSL https://aka.ms/install-azd.sh | bash +``` + +### Linux Development + +#### Ubuntu/Debian + +```bash +# Install prerequisites +sudo apt update && sudo apt install python3.11 python3.11-venv git curl nodejs npm -y + +# Install Azure CLI +curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash + +# Install Azure Functions Core Tools +wget -q https://packages.microsoft.com/config/ubuntu/$(lsb_release -rs)/packages-microsoft-prod.deb +sudo dpkg -i packages-microsoft-prod.deb +sudo apt-get update +sudo apt-get install azure-functions-core-tools-4 + +# Install Azure Developer CLI +curl -fsSL https://aka.ms/install-azd.sh | bash +``` + +#### RHEL/CentOS/Fedora + +```bash +# Install prerequisites +sudo dnf install python3.11 python3.11-devel git curl gcc nodejs npm -y + +# Install Azure CLI +sudo rpm --import https://packages.microsoft.com/keys/microsoft.asc +sudo dnf install azure-cli + +# Install Azure Functions Core Tools +sudo dnf install azure-functions-core-tools-4 + +# Install Azure Developer CLI +curl -fsSL https://aka.ms/install-azd.sh | bash +``` + +### macOS Development + +```bash +# Install Homebrew if not already installed +/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" + +# Install prerequisites +brew install python@3.11 node azure-cli azure-functions-core-tools@4 + +# Install Azure Developer CLI +curl -fsSL https://aka.ms/install-azd.sh | bash +``` + +## Step 2: Development Tools Setup + +### Visual Studio Code (Recommended) + +#### Required Extensions + +Create `.vscode/extensions.json` in the workspace root and copy the following JSON: + +```json +{ + "recommendations": [ + "ms-python.python", + "ms-python.pylint", + "ms-python.black-formatter", + "ms-azuretools.vscode-azurefunctions", + "ms-azuretools.vscode-bicep", + "ms-python.vscode-pylance", + "ms-vscode.azure-account", + "ms-vscode-remote.remote-wsl", + "ms-teams-vscode.teams-toolkit" + ] +} +``` + +VS Code will prompt you to install these recommended extensions when you open the workspace. + +#### Settings Configuration + +Create `.vscode/settings.json` and copy the following JSON: + +```json +{ + "python.defaultInterpreterPath": "./.venv/bin/python", + "python.terminal.activateEnvironment": true, + "python.linting.enabled": true, + "python.linting.pylintEnabled": true, + "python.testing.pytestEnabled": true, + "python.testing.unittestEnabled": false, + "files.associations": { + "*.bicep": "bicep" + } +} +``` + +## Step 3: Clone the Repository + +```bash +git clone https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator.git +cd chat-with-your-data-solution-accelerator +``` + +> **📋 Note: Using Existing Azure Deployment** +> +> If you already have an existing deployment or resource group with the solution deployed to Azure, you can skip resource provisioning and extract environment variables directly from your deployed services: +> +> **Option 1: Extract from Existing Azure Deployment** +> +> Get environment variables from all three services using Azure CLI: +> +> ```powershell +> # Get environment variables from Web App +> az webapp config appsettings list --name --resource-group | ConvertFrom-Json | ForEach-Object { "$($_.name)=`"$($_.value)`""} +> +> # Get environment variables from Admin App +> az webapp config appsettings list --name --resource-group | ConvertFrom-Json | ForEach-Object { "$($_.name)=`"$($_.value)`""} +> +> # Get environment variables from Function App +> az functionapp config appsettings list --name --resource-group | ConvertFrom-Json | ForEach-Object { "$($_.name)=`"$($_.value)`""} +> ``` +> +> Then create a `.env` file at `.azure//.env` (create the directory structure if needed) and copy all environment variables into it. +> +> **Option 2: Reuse Existing Local .env File** +> +> If you have previously deployed the solution locally using `azd up`, you can directly use the existing `.env` file located at `.azure//.env`. +> +> **If using existing resources, you can skip Step 4.2 (Provision Azure Resources) and proceed directly to Step 4.3.** + +## Step 4: Azure Authentication and Resource Provisioning + +Before running the application locally, you need to provision Azure resources and configure authentication. + +### 4.1. Azure CLI Login + +```bash +# Login to Azure CLI +az login + +# Set your subscription +az account set --subscription "your-subscription-id" + +# Verify authentication +az account show +``` + +### 4.2. Provision Azure Resources + +The application requires Azure resources to be provisioned before running locally. Use Azure Developer CLI (azd) to provision all resources: + +```bash +# Initialize azd environment (first time only) +azd init + +# Provision all Azure resources +azd provision +``` + +This command will: +- Create all required Azure resources (Storage, CosmosDB/PostgreSQL, AI Search, OpenAI, etc.) +- Generate a `.env` file in `.azure//.env` with all configuration values +- Set up the infrastructure using Bicep templates + +> **⚠️ Important**: The `azd provision` command can take 15-30 minutes to complete. Do not interrupt this process. + +### 4.3. Required Azure RBAC Permissions + +To run the application locally using RBAC authentication, your Azure account needs the following role assignments: + +#### Option 1: Assign Roles Manually + +Get your Principal ID from Microsoft Entra ID, then assign these roles: + +| Role | GUID | Scope | +|----|----|----| +| Cognitive Services OpenAI User | 5e0bd9bd-7b93-4f28-af87-19fc36ad61bd | Azure OpenAI Service | +| Cognitive Services User | a97b65f3-24c7-4388-baec-2e87135dc908 | Cognitive Services | +| Cosmos DB Built-in Data Contributor | 00000000-0000-0000-0000-000000000002 | Cosmos DB Account ([How to assign](https://learn.microsoft.com/en-us/azure/cosmos-db/how-to-setup-rbac#role-assignments)) | +| Key Vault Secrets User | 4633458b-17de-408a-b874-0445c86b69e6 | Key Vault | +| Search Index Data Contributor | 8ebe5a00-799e-43f5-93ac-243d3dce84a7 | AI Search Service | +| Search Service Contributor | 7ca78c08-252a-4471-8644-bb5ff32d4ba0 | AI Search Service | +| Storage Blob Data Contributor | ba92f5b4-2d11-453d-a403-e96b0029c9fe | Storage Account | +| Storage Queue Data Contributor | 974c5e8b-45b9-4653-ba55-5f855dd0fb88 | Storage Account | + +#### Option 2: Assign Roles Programmatically + +See [Step 13: Assign Azure Roles Using Command Line](#step-13-assign-azure-roles-using-command-line) for automated role assignment scripts. + +#### Option 3: Update Bicep Template + +You can also update the `principalId` value in `infra/main.bicep` with your Principal ID before running `azd provision`. This will automatically assign roles during provisioning. + +**Note**: RBAC permission changes can take 5-10 minutes to propagate. If you encounter "Forbidden" errors after assigning roles, wait a few minutes and try again. + +### 4.4. Configure Authentication Type + + +#### RBAC Authentication + +1. Ensure role assignments from Step 4.3 are created +2. Navigate to your Search service in the Azure Portal +3. Under **Settings**, select **Keys** +4. Select either **Role-based access control** or **Both** +5. Set `AZURE_AUTH_TYPE=rbac` in your `.env` file +6. Set `APP_ENV=dev` in your `.env` file to use Azure CLI credentials locally + + +## Step 5: Set Up Python Virtual Environment + +> **📋 Note**: Python 3.11 is required for this project. Ensure it's installed before proceeding. + +### Option 1: Windows (PowerShell) + +```powershell +# Create virtual environment +python -m venv .venv + +# Activate virtual environment +.\.venv\Scripts\Activate.ps1 +``` + +### Option 2: Linux/macOS/WSL2 + +```bash +# Create virtual environment +python3.11 -m venv .venv + +# Activate virtual environment +source .venv/bin/activate +``` + +## Step 6: Install Python Dependencies + +Install dependencies for all Python services: + +### 6.1. Install Backend Dependencies + +```bash +# Navigate to backend directory +cd code/backend + +# Install dependencies using Poetry +pip install --upgrade pip +pip install poetry +poetry self add poetry-plugin-export@latest +poetry export -o requirements.txt +pip install -r requirements.txt +``` + +### 6.2. Install Batch Function Dependencies + +```bash +# Navigate to batch directory +cd batch + +# Install dependencies +pip install -r requirements.txt +``` + +### 6.3. Alternative: Use Setup Script + +```bash +# From repository root +.devcontainer/setupEnv.sh +``` + +This script will install all dependencies for backend, batch, and utilities folders automatically. + +## Step 7: Admin Web Setup & Run Instructions + +> **📋 Terminal Reminder**: Open a **dedicated terminal window (Terminal 1)** for the Admin Web (Streamlit). All commands assume you start from the **repository root directory**. + +The Admin application is a Streamlit-based interface for managing documents, viewing data, and configuring the solution. + +### 7.1. Navigate to Backend Directory + +```bash +# From repository root +cd code/backend +``` + +### 7.2. Run the Admin Application + +#### Option A: Using VS Code (Recommended) + +1. Press `Ctrl+Shift+D` to open the Run and Debug panel +2. Select **"Launch Admin site"** from the dropdown +3. Click the green play button or press `F5` + +This will: +- Automatically start the Streamlit server +- Open the browser at `http://localhost:8501` +- Enable hot reload for code changes +- Allow setting breakpoints for debugging + +#### Option B: Command Line + +```bash +# Make sure you're in code/backend directory +# Ensure virtual environment is activated +streamlit run Admin.py +``` + +The Admin interface will automatically open in your browser at: + +``` +http://localhost:8501 +``` + +**Admin Features:** +- Upload and manage documents +- Configure search indexes +- View conversation logs +- Test embeddings and queries +- Monitor system health + +## Step 8: Backend API Setup & Run Instructions + +> **📋 Terminal Reminder**: Open a **second dedicated terminal window (Terminal 2)** for the Backend API (Flask). Keep Terminal 1 (Admin Web) running. All commands assume you start from the **repository root directory**. + +The Backend API is a Python Flask application that provides REST endpoints for the frontend. + +### 8.1. Navigate to Code Directory + +```bash +# From repository root +cd code +``` + +### 8.2. Configure Backend Environment + +Ensure your virtual environment is activated and the `.env` file from `azd provision` is accessible. The Flask app will read environment variables from `.azure//.env`. + +### 8.3. Run the Backend API + +#### Option A: Using VS Code (Recommended) + +1. Press `Ctrl+Shift+D` to open the Run and Debug panel +2. Select **"Launch Backend (api)"** from the dropdown +3. Click the green play button or press `F5` + +This will: +- Automatically activate the virtual environment +- Start the Flask development server +- Enable hot reload for code changes +- Allow setting breakpoints for debugging + +#### Option B: Command Line + +```bash +# Make sure you're in code directory +# Ensure virtual environment is activated +poetry run flask run +``` + +The Flask API will start at: + +``` +http://127.0.0.1:5050 +``` + +> **⚠️ Important**: Make sure this port matches the proxy configuration in `vite.config.ts` (Step 9.3) + +**API Endpoints:** +- Health check: `http://127.0.0.1:5050/health` +- API routes: `http://127.0.0.1:5050/api/...` + +## Step 9: Frontend (UI) Setup & Run Instructions + +> **📋 Terminal Reminder**: Open a **third dedicated terminal window (Terminal 3)** for the Frontend service. Keep Terminals 1 (Admin Web) and 2 (Backend API) running. All commands in this section assume you start from the **repository root directory**. + +The UI is a React-based application located under `code/frontend`. + +### 9.1. Navigate to Frontend Directory + +```bash +# From repository root +cd code/frontend +``` + +### 9.2. Install Frontend Dependencies + +```bash +npm install +``` + +### 9.3. Configure Frontend API URL + +Update `vite.config.ts` to point to the Flask API URL. For local development, the default Flask API runs at `http://127.0.0.1:5050`. + +Edit [vite.config.ts](../code/frontend/vite.config.ts): + +```typescript +export default defineConfig({ + // ... other config + server: { + proxy: { + '/api': { + target: 'http://127.0.0.1:5050', // Update this to your API URL + changeOrigin: true, + } + } + } +}) +``` + +### 9.4. Run the Frontend + +#### Option A: Using VS Code (Recommended) + +1. Press `Ctrl+Shift+D` to open the Run and Debug panel +2. Select **"Launch Frontend (UI)"** from the dropdown +3. Click the green play button or press `F5` + +This will: +- Automatically install dependencies +- Start the Vite development server +- Enable hot reload for instant updates +- Allow setting breakpoints for debugging + +#### Option B: Command Line + +```bash +# Make sure you're in code/frontend directory +npm run dev +``` + +The frontend will start at: + +``` +http://localhost:5174 +``` + +(or whichever port Vite assigns - check the terminal output) + +> **⚠️ Hot Reload**: Changes to React components will automatically reload in the browser. No need to manually refresh! + +## Step 10: Batch Processing Function Setup & Run Instructions + +> **📋 Terminal Reminder**: The Batch Processing Function runs in the background. You can run it in a separate terminal if needed, or open a **fourth terminal window (Terminal 4)**. + +The Batch Processing Function is an Azure Function that handles document processing, chunking, and indexing. + +### 10.1. Configure Batch Function Environment + +Navigate to the batch function directory and configure the local settings: + +```bash +# From repository root +cd code/backend/batch +``` + +#### Create local.settings.json + +```bash +# Copy the sample file +cp local.settings.json.sample local.settings.json # Linux/macOS +# or +Copy-Item local.settings.json.sample local.settings.json # Windows PowerShell +``` + +Edit `local.settings.json` and update the following: + +```json +{ + "IsEncrypted": false, + "Values": { + "AzureWebJobsStorage__accountName": "", + "FUNCTIONS_WORKER_RUNTIME": "python" + } +} +``` + +#### Copy .env File + +The batch function needs access to the same environment variables as other services: + +```bash +# Copy .env from the azd-generated location +cp ../../../.azure//.env . # Linux/macOS +# or +Copy-Item ..\..\..\.azure\\.env . # Windows PowerShell +``` + +> **⚠️ Important**: Replace `` with your actual azd environment name. You can find it by running `azd env list`. + +### 10.2. Install Batch Function Dependencies + +```bash +# Make sure you're in code/backend/batch directory +pip install -r requirements.txt +``` + +### 10.3. Run the Batch Function + +#### Option A: Using Azure Functions Core Tools (Command Line) + +```bash +# Make sure you're in code/backend/batch directory +# Ensure virtual environment is activated +poetry run func start +``` + +#### Option B: Using VS Code Azure Functions Extension + +1. Install the [Azure Functions VS Code extension](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-azurefunctions) +2. Press `F5` with the batch function folder open +3. Or right-click on the `function_app.py` file and select **"Execute Function Now..."** + +The Azure Functions runtime will start and display available HTTP trigger URLs: + +``` +Functions: + batch_push_results: [POST] http://localhost:7071/api/batch_push_results + batch_start_processing: [POST] http://localhost:7071/api/batch_start_processing +``` + +**Triggering Functions:** +- Use the URLs displayed in the terminal +- Use tools like Postman or curl to send HTTP requests +- Upload documents through the Admin interface (which will trigger the function) + +> **⚠️ Important**: You may need to stop the deployed function in the Azure Portal to ensure all requests are processed locally during debugging. + +## Step 11: Verify All Services Are Running + +Before using the application, confirm all services are running correctly: + +### Terminal Status Checklist + +| Terminal | Service | Command | Expected Output | URL | +|----------|---------|---------|-----------------|-----| +| **Terminal 1** | Admin Web (Streamlit) | `streamlit run Admin.py` | `Local URL: http://localhost:8501` | http://localhost:8501 | +| **Terminal 2** | Backend API (Flask) | `poetry run flask run` | `Running on http://127.0.0.1:5050` | http://127.0.0.1:5050 | +| **Terminal 3** | Frontend (React/Vite) | `npm run dev` | `Local: http://localhost:5174/` | http://localhost:5174 | +| **Terminal 4** (Optional) | Batch Processing Function | `poetry run func start` | `Functions: batch_push_results: [POST] http://localhost:7071/api/...` | http://localhost:7071 | + +### Quick Verification + +**1. Check Backend API:** +```bash +# In a new terminal +curl http://127.0.0.1:5050/health +# Expected: JSON response with health status +``` + +**2. Check Frontend:** +- Open browser to http://localhost:5174 +- Should see the Chat interface +- Try typing a message (requires backend to be running) + +**3. Check Admin Interface:** +- Open browser to http://localhost:8501 +- Should see the Admin dashboard +- Navigate through different pages to verify functionality + +**4. Check Batch Function (if running):** +```bash +# In a new terminal +curl http://localhost:7071/api/batch_push_results -X POST +# Should return a response (may be an error if no data, but confirms it's running) +``` + +### Common Issues + +**Service not starting?** +- Ensure you're in the correct directory +- Verify virtual environment is activated (Python services) +- Check that the port is not already in use +- Review error messages in the terminal +- Ensure `azd provision` completed successfully + +**Can't access services?** +- Verify firewall isn't blocking the ports +- Try `http://localhost:port` instead of `http://127.0.0.1:port` (or vice versa) +- Ensure services show "startup complete" messages +- Check VS Code terminal output for errors + +**Environment variable errors?** +- Verify `.azure//.env` file exists and contains values +- Check that `APP_ENV=dev` is set for local development +- Ensure Azure CLI is logged in (`az account show`) +- Verify RBAC roles have been assigned and propagated + +## Step 12: Alternative Deployment Options + +### Deploy Services Manually Using azd + +You can deploy the full solution or individual services using Azure Developer CLI: + +```bash +# Deploy all services +azd deploy + +# Deploy individual services +azd deploy web # Frontend chat application +azd deploy adminweb # Admin Streamlit application +azd deploy function # Batch processing function +``` + +### Running All Services Using Docker Compose + +For a containerized local development environment: + +#### Prerequisites + +1. Ensure Docker Desktop is installed and running +2. Provision Azure resources using `azd provision` to generate `.env` file + +#### Setup + +1. **Locate the .env file:** + ```bash + # Find your environment name + azd env list + + # The .env file will be at: + # .azure//.env + ``` + +2. **Configure APP_ENV for local development:** + + Edit `.azure//.env` and set: + ```bash + APP_ENV=dev # Use Azure CLI credentials for local development + ``` + + For production, set `APP_ENV=prod` to use Managed Identity. + +3. **Add AzureWebJobsStorage (required):** + + This value needs to be added manually. Get it from the Azure Portal: + - Navigate to your Function App + - Go to **Settings** → **Configuration** + - Copy the `AzureWebJobsStorage` value + - Add it to your `.env` file + +#### Run with Docker Compose + +```bash +# Option 1: Using Make +make docker-compose-up + +# Option 2: Using docker-compose directly +cd docker +AZD_ENV_FILE=../.azure//.env docker-compose up + +# Windows PowerShell: +$env:AZD_ENV_FILE="../.azure//.env" +docker-compose up +``` + +**Note:** By default, these commands will run the latest Docker images built from the main branch. To use custom images: +1. Build your own images using the Dockerfiles in the `docker/` directory +2. Update `docker/docker-compose.yml` with your image tags +3. Run `docker-compose up` + +## Step 13: Assign Azure Roles Using Command Line + +For automated role assignment, use the following script. Replace the placeholder values with your actual Azure resource information: + +```bash +#!/bin/bash + +# Variables - Update these with your values +SUBSCRIPTION_ID="" +RESOURCE_GROUP="" +PRINCIPAL_ID="" +SOLUTION_PREFIX="" + +# Get your principal ID automatically (if using current user) +PRINCIPAL_ID=$(az ad signed-in-user show --query id -o tsv) + +# Azure AI Search +az role assignment create --assignee $PRINCIPAL_ID --role "Search Index Data Contributor" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Search/searchServices/srch-$SOLUTION_PREFIX +az role assignment create --assignee $PRINCIPAL_ID --role "Search Service Contributor" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Search/searchServices/srch-$SOLUTION_PREFIX +az role assignment create --assignee $PRINCIPAL_ID --role "Search Index Data Reader" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Search/searchServices/srch-$SOLUTION_PREFIX + +# Azure OpenAI +az role assignment create --assignee $PRINCIPAL_ID --role "Cognitive Services User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.CognitiveServices/accounts/oai-$SOLUTION_PREFIX +az role assignment create --assignee $PRINCIPAL_ID --role "Cognitive Services OpenAI User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.CognitiveServices/accounts/oai-$SOLUTION_PREFIX + +# Computer Vision (if enabled) +az role assignment create --assignee $PRINCIPAL_ID --role "Cognitive Services User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.CognitiveServices/accounts/cv-$SOLUTION_PREFIX + +# Speech Services (if enabled) +az role assignment create --assignee $PRINCIPAL_ID --role "Cognitive Services User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.CognitiveServices/accounts/spch-$SOLUTION_PREFIX + +# Document Intelligence +az role assignment create --assignee $PRINCIPAL_ID --role "Cognitive Services User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.CognitiveServices/accounts/di-$SOLUTION_PREFIX + +# Content Safety (if enabled) +az role assignment create --assignee $PRINCIPAL_ID --role "Cognitive Services User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.CognitiveServices/accounts/cs-$SOLUTION_PREFIX + +# Storage Account +az role assignment create --assignee $PRINCIPAL_ID --role "Storage Blob Data Contributor" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Storage/storageAccounts/st$SOLUTION_PREFIX +az role assignment create --assignee $PRINCIPAL_ID --role "Storage Queue Data Contributor" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Storage/storageAccounts/st$SOLUTION_PREFIX + +# Key Vault +az role assignment create --assignee $PRINCIPAL_ID --role "Key Vault Secrets User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.KeyVault/vaults/kv-$SOLUTION_PREFIX + +# Cosmos DB (if using CosmosDB) +az cosmosdb sql role assignment create --account-name cosmos-$SOLUTION_PREFIX --resource-group $RESOURCE_GROUP --scope "/" --principal-id $PRINCIPAL_ID --role-definition-id 00000000-0000-0000-0000-000000000002 + +# PostgreSQL (if using PostgreSQL) - Add user as Microsoft Entra ID administrator +# Note: The CLI command may not work with older Azure CLI versions. If you encounter issues, use the Azure Portal method below. + +# Option 1: Using Azure CLI (if 'ad-admin' command is not recognized, try updating Azure CLI with 'az upgrade') +az postgres flexible-server ad-admin create --server-name --resource-group $RESOURCE_GROUP --object-id $PRINCIPAL_ID --display-name + +# Option 2: Using Azure Portal (Recommended if CLI fails) +# Step 1: Navigate to your PostgreSQL flexible server in Azure Portal (https://portal.azure.com) +# Step 2: Go to Settings -> Authentication +# Step 3: Select "PostgreSQL and Microsoft Entra authentication" or "Microsoft Entra authentication only" +# Step 4: Click "Add Microsoft Entra Admins" +# Step 5: Search for your user account by email or display name +# Step 6: Select your account and click "Select" +# Step 7: Click "Save" at the top of the page +# Step 8: Wait for the configuration to complete (1-2 minutes) +# +# You can get your display name from: Microsoft Entra ID -> Users -> Your User Account -> Display Name +``` + +**Windows PowerShell Version:** + +```powershell +# Variables - Update these with your values +$SUBSCRIPTION_ID = "" +$RESOURCE_GROUP = "" +$SOLUTION_PREFIX = "" + +# Get your principal ID automatically +$PRINCIPAL_ID = (az ad signed-in-user show --query id -o tsv) + +# Azure AI Search +az role assignment create --assignee $PRINCIPAL_ID --role "Search Index Data Contributor" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Search/searchServices/srch-$SOLUTION_PREFIX +az role assignment create --assignee $PRINCIPAL_ID --role "Search Service Contributor" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Search/searchServices/srch-$SOLUTION_PREFIX + +# Azure OpenAI +az role assignment create --assignee $PRINCIPAL_ID --role "Cognitive Services User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.CognitiveServices/accounts/oai-$SOLUTION_PREFIX +az role assignment create --assignee $PRINCIPAL_ID --role "Cognitive Services OpenAI User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.CognitiveServices/accounts/oai-$SOLUTION_PREFIX + +# Storage Account +az role assignment create --assignee $PRINCIPAL_ID --role "Storage Blob Data Contributor" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Storage/storageAccounts/st$SOLUTION_PREFIX +az role assignment create --assignee $PRINCIPAL_ID --role "Storage Queue Data Contributor" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.Storage/storageAccounts/st$SOLUTION_PREFIX + +# Key Vault +az role assignment create --assignee $PRINCIPAL_ID --role "Key Vault Secrets User" --scope /subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.KeyVault/vaults/kv-$SOLUTION_PREFIX + +# Cosmos DB (if using CosmosDB) +az cosmosdb sql role assignment create --account-name cosmos-$SOLUTION_PREFIX --resource-group $RESOURCE_GROUP --scope "/" --principal-id $PRINCIPAL_ID --role-definition-id 00000000-0000-0000-0000-000000000002 + +# PostgreSQL (if using PostgreSQL) - Add user as Microsoft Entra ID administrator +# Note: The CLI command may not work with older Azure CLI versions. If you encounter issues, use the Azure Portal method below. + +# Option 1: Using Azure CLI (if 'ad-admin' command is not recognized, try updating Azure CLI with 'az upgrade') +az postgres flexible-server ad-admin create --server-name --resource-group $RESOURCE_GROUP --object-id $PRINCIPAL_ID --display-name + +# Option 2: Using Azure Portal (Recommended if CLI fails) +# Step 1: Navigate to your PostgreSQL flexible server in Azure Portal (https://portal.azure.com) +# Step 2: Go to Settings -> Authentication +# Step 3: Select "PostgreSQL and Microsoft Entra authentication" or "Microsoft Entra authentication only" +# Step 4: Click "Add Microsoft Entra Admins" +# Step 5: Search for your user account by email or display name +# Step 6: Select your account and click "Select" +# Step 7: Click "Save" at the top of the page +# Step 8: Wait for the configuration to complete (1-2 minutes) +# +# You can get your display name from: Microsoft Entra ID -> Users -> Your User Account -> Display Name +``` + +> **⚠️ Important**: +> - Replace all placeholder values (``, ``, etc.) with your actual values +> - Some services (Computer Vision, Speech, Content Safety) are optional and may not exist in your deployment +> - RBAC changes can take 5-10 minutes to propagate +> - Run `azd env get-values` to see your solution prefix and other values + +## Troubleshooting + +### Common Issues + +#### Python Version Issues + +```bash +# Check available Python versions +python --version +python3.11 --version + +# If python3.11 not found, install it: +# Ubuntu/Debian: sudo apt install python3.11 python3.11-venv +# Windows: winget install Python.Python.3.11 +# macOS: brew install python@3.11 +``` + +#### Virtual Environment Issues + +```bash +# Recreate virtual environment +rm -rf .venv # Linux/macOS +# or +Remove-Item -Recurse -Force .venv # Windows PowerShell + +# Create new virtual environment +python3.11 -m venv .venv # Linux/macOS +python -m venv .venv # Windows + +# Activate and reinstall dependencies +source .venv/bin/activate # Linux/macOS +# or +.\.venv\Scripts\Activate.ps1 # Windows + +# Reinstall dependencies +cd code/backend +pip install --upgrade pip +pip install poetry +poetry export -o requirements.txt +pip install -r requirements.txt +``` + +#### Azure Authentication Issues + +```bash +# Check Azure CLI authentication +az account show + +# If not authenticated, login +az login + +# Set correct subscription +az account set --subscription "your-subscription-id" + +# Verify RBAC roles are assigned +az role assignment list --assignee $(az ad signed-in-user show --query id -o tsv) + +# Force refresh tokens (if getting 401/403 errors) +az account get-access-token --resource https://management.azure.com/ +``` + +#### Permission Issues (Linux/macOS) + +```bash +# Fix ownership of files +sudo chown -R $USER:$USER . + +# Fix script permissions +chmod +x .devcontainer/setupEnv.sh +chmod +x scripts/*.sh +``` + +#### Windows-Specific Issues + +```powershell +# PowerShell execution policy +Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser + +# Long path support (Windows 10 1607+, run as Administrator) +New-ItemProperty -Path "HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem" ` + -Name "LongPathsEnabled" -Value 1 -PropertyType DWORD -Force + +# SSL certificate issues +pip install --trusted-host pypi.org --trusted-host pypi.python.org --trusted-host files.pythonhosted.org -r requirements.txt +``` + +#### Port Already in Use + +```bash +# Find process using a port (Linux/macOS) +lsof -i :5050 # Backend Flask +lsof -i :5174 # Frontend Vite +lsof -i :8501 # Admin Streamlit +lsof -i :7071 # Azure Functions + +# Kill process by PID +kill -9 + +# Find process using a port (Windows) +netstat -ano | findstr :5050 +netstat -ano | findstr :5174 +netstat -ano | findstr :8501 +netstat -ano | findstr :7071 + +# Kill process by PID (Windows) +taskkill /PID /F +``` + +#### Node.js/npm Issues + +```bash +# Clear npm cache +npm cache clean --force + +# Remove node_modules and reinstall +cd code/frontend +rm -rf node_modules package-lock.json # Linux/macOS +# or +Remove-Item -Recurse -Force node_modules, package-lock.json # Windows + +npm install + +# If npm install fails, try with legacy peer deps +npm install --legacy-peer-deps +``` + +#### Environment Variable Issues + +```bash +# Check environment variables are loaded (Linux/macOS) +env | grep AZURE + +# Check environment variables (Windows PowerShell) +Get-ChildItem Env:AZURE* + +# Validate .env file format +cat .azure//.env | grep -v '^#' | grep '=' # Should show key=value pairs + +# Check azd environment +azd env list +azd env get-values +``` + +#### Azure Functions Issues + +```bash +# Ensure Azure Functions Core Tools is installed +func --version + +# If not installed: +# Windows: winget install Microsoft.Azure.FunctionsCoreTools +# Linux/macOS: See Step 1 for installation instructions + +# Check AzureWebJobsStorage configuration +cat code/backend/batch/local.settings.json + +# Validate function app structure +ls code/backend/batch/ +# Should see: function_app.py, local.settings.json, requirements.txt + +# Clear Functions cache +rm -rf ~/.azure-functions-core-tools # Linux/macOS +Remove-Item -Recurse ~/.azure-functions-core-tools # Windows +``` + +#### Streamlit Issues + +```bash +# Clear Streamlit cache +streamlit cache clear + +# Run with verbose logging +streamlit run Admin.py --logger.level=debug + +# Check Streamlit version +streamlit --version + +# Reinstall Streamlit +pip uninstall streamlit +pip install streamlit +``` + +#### azd Provision Failures + +```bash +# Check azd version +azd version + +# Update azd to latest version +# Windows: winget upgrade Microsoft.Azd +# Linux/macOS: curl -fsSL https://aka.ms/install-azd.sh | bash + +# Clean azd environment and retry +azd env delete +azd init +azd provision + +# Check Azure subscription quotas +# Many provision failures are due to quota limits +# Visit Azure Portal → Quotas to check and request increases + +# Enable detailed logging +azd provision --debug +``` + +#### Cosmos DB Connection Issues + +```bash +# Verify Cosmos DB RBAC role assignment +az cosmosdb sql role assignment list \ + --account-name cosmos- \ + --resource-group + +# Check if Cosmos DB is accessible +az cosmosdb show \ + --name cosmos- \ + --resource-group + +# Test connection using Azure SDK +python -c "from azure.cosmos import CosmosClient; print('Cosmos DB SDK imported successfully')" +``` + +#### AI Search Issues + +```bash +# Verify Search service is running +az search service show \ + --name srch- \ + --resource-group + +# Check RBAC roles for Search +az role assignment list \ + --scope /subscriptions//resourceGroups//providers/Microsoft.Search/searchServices/srch- + +# Test search index +az search index list \ + --service-name srch- \ + --resource-group +``` + +#### OpenAI Connection Issues + +```bash +# Verify OpenAI service +az cognitiveservices account show \ + --name oai- \ + --resource-group + +# Check model deployments +az cognitiveservices account deployment list \ + --name oai- \ + --resource-group + +# Verify RBAC roles +az role assignment list \ + --scope /subscriptions//resourceGroups//providers/Microsoft.CognitiveServices/accounts/oai- +``` + +#### Debugging Tips + +1. **Enable Verbose Logging:** + - Set `LOGLEVEL=DEBUG` in your `.env` file + - Set `PACKAGE_LOGGING_LEVEL=DEBUG` for Azure SDK logging + - Add `AZURE_LOGGING_PACKAGES=azure.core,azure.identity` to see authentication details + +2. **Check Application Logs:** + - Flask: Check the terminal running `flask run` + - Streamlit: Check the terminal running `streamlit run` + - Functions: Check the Functions Core Tools terminal output + - Frontend: Check browser developer console (F12) + +3. **Isolate the Issue:** + - Test each service independently + - Verify Azure resources are accessible from Azure Portal + - Use Azure Storage Explorer to check blob/queue contents + - Test API endpoints with curl or Postman + +4. **Common Error Messages:** + + | Error | Likely Cause | Solution | + |-------|--------------|----------| + | `401 Unauthorized` | RBAC roles not assigned or not propagated | Wait 5-10 minutes, verify role assignments | + | `403 Forbidden` | Insufficient permissions | Check RBAC roles, verify authentication | + | `404 Not Found` | Resource doesn't exist or wrong name | Verify resource names in .env file | + | `ModuleNotFoundError` | Missing Python dependency | Run `pip install -r requirements.txt` | + | `EADDRINUSE` | Port already in use | Kill process using the port (see above) | + | `azd provision failed` | Quota limits or infrastructure error | Check quotas, review error details | + +## Step 14: Next Steps + +Once all services are running successfully, you can: + +1. **Access the Application**: Open `http://localhost:5174` in your browser to start chatting with your data +2. **Upload Documents**: Use the Admin interface at `http://localhost:8501` to upload and manage documents +3. **Test API Endpoints**: Use the Flask API at `http://127.0.0.1:5050/docs` to explore available endpoints +4. **Monitor Processing**: Watch the Batch Function logs to see document processing in action +5. **Customize the Solution**: Modify prompts, orchestration strategies, and UI components to fit your needs +6. **Deploy to Azure**: Use `azd deploy` to deploy your local changes to Azure + +## Related Documentation + +- [LOCAL_DEPLOYMENT.md](LOCAL_DEPLOYMENT.md) - Detailed local deployment scenarios and Docker options +- [best_practices.md](best_practices.md) - Best practices for production deployments +- [model_configuration.md](model_configuration.md) - Configure AI models and embeddings +- [conversation_flow_options.md](conversation_flow_options.md) - Customize conversation orchestration +- [integrated_vectorization.md](integrated_vectorization.md) - Set up integrated vectorization +- [azure_app_service_auth_setup.md](azure_app_service_auth_setup.md) - Configure authentication +- [web-apps.md](web-apps.md) - Deploy to Azure App Service +- [supported_file_types.md](supported_file_types.md) - Supported document formats +- [advanced_image_processing.md](advanced_image_processing.md) - Enable vision-based document processing diff --git a/docs/azure_account_setup.md b/docs/azure_account_setup.md new file mode 100644 index 000000000..ce56466c8 --- /dev/null +++ b/docs/azure_account_setup.md @@ -0,0 +1,14 @@ +## Azure account setup + +1. Sign up for a [free Azure account](https://azure.microsoft.com/free/) and create an Azure Subscription. +2. Check that you have the necessary permissions: + * Your Azure account must have `Microsoft.Authorization/roleAssignments/write` permissions, such as [Role Based Access Control Administrator](https://learn.microsoft.com/azure/role-based-access-control/built-in-roles#role-based-access-control-administrator-preview), [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). + * Your Azure account also needs `Microsoft.Resources/deployments/write` permissions on the subscription level. + +You can view the permissions for your account and subscription by following the steps below: +- Navigate to the [Azure Portal](https://portal.azure.com/) and click on `Subscriptions` under 'Navigation' +- Select the subscription you are using for this accelerator from the list. + - If you try to search for your subscription and it does not come up, make sure no filters are selected. +- Select `Access control (IAM)` and you can see the roles that are assigned to your account for this subscription. + - If you want to see more information about the roles, you can go to the `Role assignments` + tab and search by your account name and then click the role you want to view more information about. diff --git a/docs/azure_openai_model_quota_settings.md b/docs/azure_openai_model_quota_settings.md new file mode 100644 index 000000000..40cdaaaf3 --- /dev/null +++ b/docs/azure_openai_model_quota_settings.md @@ -0,0 +1,12 @@ +## How to Check & Update Quota + +Please follow [quota check instructions guide](./QuotaCheck.md) to check quota availability by region. + +1. **Navigate** to the [Azure AI Foundry portal](https://ai.azure.com/). +2. **Click** on view all resources and **Search** for OpenAI resource associated with this accelerator. +3. **Go to** the `Shared Resources` section in the bottom-left navigation menu. +4. Select `Quota` + - Click on the `GlobalStandard` dropdown. + - Select the required **GPT model** (`gpt-4.1` or `text-embedding-ada-002`). + - Choose the **region** where the deployment is hosted. +5. Request More Quota or delete any unused model deployments as needed. diff --git a/docs/customizing_azd_parameters.md b/docs/customizing_azd_parameters.md new file mode 100644 index 000000000..12e336143 --- /dev/null +++ b/docs/customizing_azd_parameters.md @@ -0,0 +1,94 @@ +# Customizing Azure Deployment Parameters + +By default this template will use the environment name as the prefix to prevent naming collisions within Azure. The parameters below show the default values. You only need to run the statements below if you need to change the values. + +> To override any of the parameters, run `azd env set ` before running `azd up`. On the first azd command, it will prompt you for the environment name. Be sure to choose 3-16 characters alphanumeric unique name. + +## Core Configuration Parameters + +| **Name** | **Type** | **Default Value** | **Purpose** | +|----------|----------|-------------------|-------------| +| `AZURE_ENV_NAME` | string | (prompted) | Sets the environment name prefix for all Azure resources (3-16 alphanumeric characters) | +| `AZURE_LOCATION` | string | (prompted) | Sets the primary location/region for all Azure resources | +| `APP_ENV` | string | `Prod` | Application environment (Prod, Dev, etc.) | + +## Application Hosting Parameters + +| **Name** | **Type** | **Default Value** | **Purpose** | +|----------|----------|-------------------|-------------| +| `AZURE_APP_SERVICE_HOSTING_MODEL` | string | `container` | Hosting model for web apps (container or code) | +| `HOSTING_PLAN_SKU` | string | `B3` | App Service plan pricing tier (B2, B3, S1, S2) | + +## Database Configuration + +| **Name** | **Type** | **Default Value** | **Purpose** | +|----------|----------|-------------------|-------------| +| `DATABASE_TYPE` | string | `PostgreSQL` | Type of database to deploy (PostgreSQL or CosmosDB) | + +## Azure AI Configurations + +| **Name** | **Type** | **Default Value** | **Purpose** | +|----------|----------|-------------------|-------------| +| `AZURE_SEARCH_USE_INTEGRATED_VECTORIZATION` | boolean | `false` | Enable integrated vectorization (must be false for PostgreSQL) | +| `AZURE_SEARCH_USE_SEMANTIC_SEARCH` | boolean | `false` | Enable semantic search capabilities | +| `AZURE_OPENAI_SKU_NAME` | string | `S0` | Azure OpenAI resource SKU | +| `AZURE_OPENAI_MODEL` | string | `gpt-4.1` | Model deployment name | +| `AZURE_OPENAI_MODEL_NAME` | string | `gpt-4.1` | Actual model name | +| `AZURE_OPENAI_MODEL_VERSION` | string | `2025-04-14` | Model version | +| `AZURE_OPENAI_MODEL_CAPACITY` | integer | `150` | Model capacity (TPM in thousands) | +| `AZURE_OPENAI_API_VERSION` | string | `2024-02-01` | Azure OpenAI API version | +| `AZURE_OPENAI_STREAM` | boolean | `true` | Enable streaming responses | +| `AZURE_OPENAI_EMBEDDING_MODEL` | string | `text-embedding-ada-002` | Embedding model deployment name | +| `AZURE_OPENAI_EMBEDDING_MODEL_NAME` | string | `text-embedding-ada-002` | Actual embedding model name | +| `AZURE_OPENAI_EMBEDDING_MODEL_VERSION` | string | `2` | Embedding model version | +| `AZURE_OPENAI_EMBEDDING_MODEL_CAPACITY` | integer | `100` | Embedding model capacity (TPM in thousands) | +| `USE_ADVANCED_IMAGE_PROCESSING` | boolean | `false` | Enable vision LLM and Computer Vision for images (must be false for PostgreSQL) | +| `ADVANCED_IMAGE_PROCESSING_MAX_IMAGES` | integer | `1` | Maximum images per vision model request | +| `AZURE_OPENAI_VISION_MODEL` | string | `gpt-4.1` | Vision model deployment name | +| `AZURE_OPENAI_VISION_MODEL_NAME` | string | `gpt-4.1` | Actual vision model name | +| `AZURE_OPENAI_VISION_MODEL_VERSION` | string | `2025-04-14` | Vision model version | +| `AZURE_OPENAI_VISION_MODEL_CAPACITY` | integer | `10` | Vision model capacity (TPM in thousands) | +| `AZURE_COMPUTER_VISION_LOCATION` | string | (empty) | Location for Computer Vision resource | +| `COMPUTER_VISION_SKU_NAME` | string | `S1` | Computer Vision SKU (F0 or S1) | +| `AZURE_COMPUTER_VISION_VECTORIZE_IMAGE_API_VERSION` | string | `2024-02-01` | API version for image vectorization | +| `AZURE_COMPUTER_VISION_VECTORIZE_IMAGE_MODEL_VERSION` | string | `2023-04-15` | Model version for image vectorization | +| `AZURE_SPEECH_RECOGNIZER_LANGUAGES` | string | `en-US,fr-FR,de-DE,it-IT` | Comma-separated list of speech recognition languages | + +## Virtual Machine Configuration (Production Only) + +| **Name** | **Type** | **Default Value** | **Purpose** | +|----------|----------|-------------------|-------------| +| `AZURE_ENV_JUMPBOX_SIZE` | string | (empty) | Size of the jump box VM | +| `AZURE_ENV_VM_ADMIN_USERNAME` | string | (auto-generated) | Administrator username for VMs | +| `AZURE_ENV_VM_ADMIN_PASSWORD` | string | (auto-generated) | Administrator password for VMs | + + +## How to Set a Parameter + +To customize any of the above values, run the following command **before** `azd up`: + +```bash +azd env set +``` + +### Examples + +**Set a custom Azure region:** +```bash +azd env set AZURE_LOCATION eastus2 +``` + +**Configure Azure OpenAI model capacity:** +```bash +azd env set AZURE_OPENAI_MODEL_CAPACITY 200 +azd env set AZURE_OPENAI_EMBEDDING_MODEL_CAPACITY 150 +``` + +## Important Notes + +1. **PostgreSQL Limitations**: When using `DATABASE_TYPE=PostgreSQL`, you must set: + - `AZURE_SEARCH_USE_INTEGRATED_VECTORIZATION=false` + - `USE_ADVANCED_IMAGE_PROCESSING=false` + - `ORCHESTRATION_STRATEGY=semantic_kernel` (recommended) + +2. **Region Compatibility**: Not all services are available in all regions. Verify service availability in your chosen region before deployment. diff --git a/docs/delete_resource_group.md b/docs/delete_resource_group.md new file mode 100644 index 000000000..d28ca8509 --- /dev/null +++ b/docs/delete_resource_group.md @@ -0,0 +1,51 @@ +# Deleting Resources After a Failed Deployment in Azure Portal + +If your deployment fails and you need to clean up the resources manually, follow these steps in the Azure Portal. + +--- + +## **1. Navigate to the Azure Portal** +1. Open [Azure Portal](https://portal.azure.com/). +2. Sign in with your Azure account. + +--- + +## **2. Find the Resource Group** +1. In the search bar at the top, type **"Resource groups"** and select it. +2. Locate the **resource group** associated with the failed deployment. + +![Resource Groups](./images/resourcegroup.png) + +![Resource Groups](./images/resource-groups.png) + +--- + +## **3. Delete the Resource Group** +1. Click on the **resource group name** to open it. +2. Click the **Delete resource group** button at the top. + +![Delete Resource Group](./images/DeleteRG.png) + +3. Type the resource group name in the confirmation box and click **Delete**. + +📌 **Note:** Deleting a resource group will remove all resources inside it. + +--- + +## **4. Delete Individual Resources (If Needed)** +If you don’t want to delete the entire resource group, follow these steps: + +1. Open **Azure Portal** and go to the **Resource groups** section. +2. Click on the specific **resource group**. +3. Select the **resource** you want to delete (e.g., App Service, Storage Account). +4. Click **Delete** at the top. + +![Delete Individual Resource](./images/deleteservices.png) + +--- + +## **5. Verify Deletion** +- After a few minutes, refresh the **Resource groups** page. +- Ensure the deleted resource or group no longer appears. + +📌 **Tip:** If a resource fails to delete, check if it's **locked** under the **Locks** section and remove the lock. diff --git a/docs/images/DeleteRG.png b/docs/images/DeleteRG.png new file mode 100644 index 000000000..c435ecf17 Binary files /dev/null and b/docs/images/DeleteRG.png differ diff --git a/docs/images/deleteservices.png b/docs/images/deleteservices.png new file mode 100644 index 000000000..24bf593df Binary files /dev/null and b/docs/images/deleteservices.png differ diff --git a/docs/images/resource-groups.png b/docs/images/resource-groups.png new file mode 100644 index 000000000..d3a245df6 Binary files /dev/null and b/docs/images/resource-groups.png differ diff --git a/docs/images/resourcegroup.png b/docs/images/resourcegroup.png new file mode 100644 index 000000000..67b058bcc Binary files /dev/null and b/docs/images/resourcegroup.png 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"https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==", - "dev": true + "dev": true, + "license": "ISC" }, "node_modules/yauzl": { "version": "2.10.0", "resolved": "https://registry.npmjs.org/yauzl/-/yauzl-2.10.0.tgz", "integrity": "sha512-p4a9I6X6nu6IhoGmBqAcbJy1mlC4j27vEPZX9F4L4/vZT3Lyq1VkFHw/V/PUcB9Buo+DG3iHkT0x3Qya58zc3g==", "dev": true, + "license": "MIT", "dependencies": { "buffer-crc32": "~0.2.3", "fd-slicer": "~1.1.0" diff --git a/tests/integration/ui/package.json b/tests/integration/ui/package.json index 37a763e31..6edd02feb 100644 --- a/tests/integration/ui/package.json +++ b/tests/integration/ui/package.json @@ -7,7 +7,7 @@ "cypress:open": "cypress open" }, "devDependencies": { - "cypress": "^15.3.0", + "cypress": "^15.8.1", "typescript": "^5.9.3" } }

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