diff --git a/app/backend/app.py b/app/backend/app.py index dba27f3e..114186a6 100644 --- a/app/backend/app.py +++ b/app/backend/app.py @@ -6,6 +6,7 @@ import os from pathlib import Path from typing import Any, AsyncGenerator, Dict, Union, cast +from dotenv import load_dotenv from azure.core.credentials import AzureKeyCredential from azure.core.credentials_async import AsyncTokenCredential @@ -63,6 +64,8 @@ mimetypes.add_type("application/javascript", ".js") mimetypes.add_type("text/css", ".css") +load_dotenv() + @bp.route("/") async def index(): diff --git a/app/backend/requirements.txt b/app/backend/requirements.txt index 9274b786..a8618ac2 100644 --- a/app/backend/requirements.txt +++ b/app/backend/requirements.txt @@ -281,6 +281,8 @@ pydantic-core==2.16.2 pyjwt[crypto]==2.8.0 # via msal python-dateutil==2.8.2 + +python-dotenv # via pandas python-jose[cryptography]==3.3.0 # via -r requirements.in diff --git a/app/backend/static/assets/Ask-3c4f5122.js b/app/backend/static/assets/Ask-2a9371aa.js similarity index 97% rename from app/backend/static/assets/Ask-3c4f5122.js rename to app/backend/static/assets/Ask-2a9371aa.js index f6335c03..7abe456a 100644 --- a/app/backend/static/assets/Ask-3c4f5122.js +++ b/app/backend/static/assets/Ask-2a9371aa.js @@ -1,2 +1,2 @@ -import{r as s,bE as fe,bF as t}from"./vendor-3b0eb66e.js";import{R as Q,G as be,V as L,u as d,S as ye,Q as Ae,E as Pe,A as je,a as m,b as we,c as Ve,d as Oe,e as Re,r as S,i as D,T as Ne,g as M,f as Ie,h as Ge}from"./index-cf2ac81c.js";import{p as Ee,m as Ue,D as Be,T as q,n as Fe,o as Qe,l as g}from"./fluentui-react-cc049b91.js";import"./fluentui-icons-cc979dd7.js";const Le="_askContainer_1vvbs_1",De="_askTopSection_1vvbs_8",Me="_askBottomSection_1vvbs_15",qe="_askTitle_1vvbs_25",He="_askQuestionInput_1vvbs_39",ze="_askAnswerContainer_1vvbs_46",Je="_askAnalysisPanel_1vvbs_53",Ke="_askSettingsSeparator_1vvbs_58",We="_settingsButton_1vvbs_62",n={askContainer:Le,askTopSection:De,askBottomSection:Me,askTitle:qe,askQuestionInput:He,askAnswerContainer:ze,askAnalysisPanel:Je,askSettingsSeparator:Ke,settingsButton:We};function Xe(){const[f,v]=s.useState(!1),[k,H]=s.useState(""),[b,Ye]=s.useState(""),[y,Ze]=s.useState(""),[A,z]=s.useState(.3),[J,P]=s.useState(Q.Hybrid),[j,K]=s.useState(3),[h,w]=s.useState(!0),[V,W]=s.useState(!1),[l,X]=s.useState(!1),[O,Y]=s.useState(be.TextAndImages),[R,Z]=s.useState(""),[$,ee]=s.useState(""),[te,se]=s.useState([L.Embedding,L.ImageEmbedding]),[N,ae]=s.useState(!1),[I,ne]=s.useState(!1),[G,oe]=s.useState(!1),[ie,re]=s.useState(!1),[le,ce]=s.useState(!1),C=s.useRef(""),[x,E]=s.useState(!1),[c,U]=s.useState(),[o,ue]=s.useState(),[B,F]=s.useState(),[u,r]=s.useState(void 0),i=d?fe().instance:void 0,pe=async()=>{const e=i?await M(i):void 0;Ie(e).then(a=>{oe(a.showGPT4VOptions),w(a.showSemanticRankerOption),re(a.showSemanticRankerOption),ce(a.showVectorOption),a.showVectorOption||P(Q.Text)})};s.useEffect(()=>{pe()},[]);const _=async e=>{C.current=e,c&&U(void 0),E(!0),F(void 0),r(void 0);const a=i?await M(i):void 0;try{const p={messages:[{content:e,role:"user"}],context:{overrides:{prompt_template:k.length===0?void 0:k,prompt_template_prefix:b.length===0?void 0:b,prompt_template_suffix:y.length===0?void 0:y,exclude_category:R.length===0?void 0:R,top:j,temperature:A,retrieval_mode:J,semantic_ranker:h,semantic_captions:V,use_oid_security_filter:N,use_groups_security_filter:I,vector_fields:te,use_gpt4v:l,gpt4v_input:O}},session_state:o?o.choices[0].session_state:null},Te=await Ge(p,a);ue(Te)}catch(p){U(p)}finally{E(!1)}},de=(e,a)=>{H(a||"")},me=(e,a,p)=>{z(e)},Se=(e,a)=>{K(parseInt(a||"3"))},ge=(e,a)=>{w(!!a)},ve=(e,a)=>{W(!!a)},ke=(e,a)=>{Z(a||"")},he=e=>{_(e),ee(e)},Ce=e=>{B===e&&u===m.CitationTab?r(void 0):(F(e),r(m.CitationTab))},T=e=>{r(u===e?void 0:e)},xe=(e,a)=>{ae(!!a)},_e=(e,a)=>{ne(!!a)};return t.jsxs("div",{className:n.askContainer,children:[t.jsxs("div",{className:n.askTopSection,children:[t.jsx(ye,{className:n.settingsButton,onClick:()=>v(!f)}),t.jsx("h1",{className:n.askTitle,children:"Ask your data"}),t.jsx("div",{className:n.askQuestionInput,children:t.jsx(Ae,{placeholder:"Example: Does my plan cover annual eye exams?",disabled:x,initQuestion:$,onSend:e=>_(e)})})]}),t.jsxs("div",{className:n.askBottomSection,children:[x&&t.jsx(Ee,{label:"Generating answer"}),!C.current&&t.jsx(Pe,{onExampleClicked:he,useGPT4V:l}),!x&&o&&!c&&t.jsx("div",{className:n.askAnswerContainer,children:t.jsx(je,{answer:o,isStreaming:!1,onCitationClicked:e=>Ce(e),onThoughtProcessClicked:()=>T(m.ThoughtProcessTab),onSupportingContentClicked:()=>T(m.SupportingContentTab)})}),c?t.jsx("div",{className:n.askAnswerContainer,children:t.jsx(we,{error:c.toString(),onRetry:()=>_(C.current)})}):null,u&&o&&t.jsx(Ve,{className:n.askAnalysisPanel,activeCitation:B,onActiveTabChanged:e=>T(e),citationHeight:"600px",answer:o,activeTab:u})]}),t.jsxs(Ue,{headerText:"Configure answer generation",isOpen:f,isBlocking:!1,onDismiss:()=>v(!1),closeButtonAriaLabel:"Close",onRenderFooterContent:()=>t.jsx(Be,{onClick:()=>v(!1),children:"Close"}),isFooterAtBottom:!0,children:[t.jsx(q,{className:n.askSettingsSeparator,defaultValue:k,label:"Override prompt template",multiline:!0,autoAdjustHeight:!0,onChange:de}),t.jsx(Fe,{className:n.chatSettingsSeparator,label:"Temperature",min:0,max:1,step:.1,defaultValue:A,onChange:me,showValue:!0,snapToStep:!0}),t.jsx(Qe,{className:n.askSettingsSeparator,label:"Retrieve this many search results:",min:1,max:50,defaultValue:j.toString(),onChange:Se}),t.jsx(q,{className:n.askSettingsSeparator,label:"Exclude category",onChange:ke}),ie&&t.jsx(g,{className:n.askSettingsSeparator,checked:h,label:"Use semantic ranker for retrieval",onChange:ge}),t.jsx(g,{className:n.askSettingsSeparator,checked:V,label:"Use query-contextual summaries instead of whole documents",onChange:ve,disabled:!h}),G&&t.jsx(Oe,{gpt4vInputs:O,isUseGPT4V:l,updateUseGPT4V:e=>{X(e)},updateGPT4VInputs:e=>Y(e)}),le&&t.jsx(Re,{showImageOptions:l&&G,updateVectorFields:e=>se(e),updateRetrievalMode:e=>P(e)}),d&&t.jsx(g,{className:n.askSettingsSeparator,checked:N||S,label:"Use oid security filter",disabled:!D(i)||S,onChange:xe}),d&&t.jsx(g,{className:n.askSettingsSeparator,checked:I||S,label:"Use groups security filter",disabled:!D(i)||S,onChange:_e}),d&&t.jsx(Ne,{})]})]})}Xe.displayName="Ask";export{Xe as Component}; -//# sourceMappingURL=Ask-3c4f5122.js.map +import{r as s,bE as fe,bF as t}from"./vendor-3b0eb66e.js";import{R as Q,G as be,V as L,u as d,S as ye,Q as Ae,E as Pe,A as je,a as m,b as we,c as Ve,d as Oe,e as Re,r as S,i as D,T as Ne,g as M,f as Ie,h as Ge}from"./index-9a71f1dd.js";import{p as Ee,m as Ue,D as Be,T as q,n as Fe,o as Qe,l as g}from"./fluentui-react-cc049b91.js";import"./fluentui-icons-cc979dd7.js";const Le="_askContainer_1vvbs_1",De="_askTopSection_1vvbs_8",Me="_askBottomSection_1vvbs_15",qe="_askTitle_1vvbs_25",He="_askQuestionInput_1vvbs_39",ze="_askAnswerContainer_1vvbs_46",Je="_askAnalysisPanel_1vvbs_53",Ke="_askSettingsSeparator_1vvbs_58",We="_settingsButton_1vvbs_62",n={askContainer:Le,askTopSection:De,askBottomSection:Me,askTitle:qe,askQuestionInput:He,askAnswerContainer:ze,askAnalysisPanel:Je,askSettingsSeparator:Ke,settingsButton:We};function Xe(){const[f,v]=s.useState(!1),[k,H]=s.useState(""),[b,Ye]=s.useState(""),[y,Ze]=s.useState(""),[A,z]=s.useState(.3),[J,P]=s.useState(Q.Hybrid),[j,K]=s.useState(3),[h,w]=s.useState(!0),[V,W]=s.useState(!1),[l,X]=s.useState(!1),[O,Y]=s.useState(be.TextAndImages),[R,Z]=s.useState(""),[$,ee]=s.useState(""),[te,se]=s.useState([L.Embedding,L.ImageEmbedding]),[N,ae]=s.useState(!1),[I,ne]=s.useState(!1),[G,oe]=s.useState(!1),[ie,re]=s.useState(!1),[le,ce]=s.useState(!1),C=s.useRef(""),[x,E]=s.useState(!1),[c,U]=s.useState(),[o,ue]=s.useState(),[B,F]=s.useState(),[u,r]=s.useState(void 0),i=d?fe().instance:void 0,pe=async()=>{const e=i?await M(i):void 0;Ie(e).then(a=>{oe(a.showGPT4VOptions),w(a.showSemanticRankerOption),re(a.showSemanticRankerOption),ce(a.showVectorOption),a.showVectorOption||P(Q.Text)})};s.useEffect(()=>{pe()},[]);const _=async e=>{C.current=e,c&&U(void 0),E(!0),F(void 0),r(void 0);const a=i?await M(i):void 0;try{const p={messages:[{content:e,role:"user"}],context:{overrides:{prompt_template:k.length===0?void 0:k,prompt_template_prefix:b.length===0?void 0:b,prompt_template_suffix:y.length===0?void 0:y,exclude_category:R.length===0?void 0:R,top:j,temperature:A,retrieval_mode:J,semantic_ranker:h,semantic_captions:V,use_oid_security_filter:N,use_groups_security_filter:I,vector_fields:te,use_gpt4v:l,gpt4v_input:O}},session_state:o?o.choices[0].session_state:null},Te=await Ge(p,a);ue(Te)}catch(p){U(p)}finally{E(!1)}},de=(e,a)=>{H(a||"")},me=(e,a,p)=>{z(e)},Se=(e,a)=>{K(parseInt(a||"3"))},ge=(e,a)=>{w(!!a)},ve=(e,a)=>{W(!!a)},ke=(e,a)=>{Z(a||"")},he=e=>{_(e),ee(e)},Ce=e=>{B===e&&u===m.CitationTab?r(void 0):(F(e),r(m.CitationTab))},T=e=>{r(u===e?void 0:e)},xe=(e,a)=>{ae(!!a)},_e=(e,a)=>{ne(!!a)};return t.jsxs("div",{className:n.askContainer,children:[t.jsxs("div",{className:n.askTopSection,children:[t.jsx(ye,{className:n.settingsButton,onClick:()=>v(!f)}),t.jsx("h1",{className:n.askTitle,children:"Ask your data"}),t.jsx("div",{className:n.askQuestionInput,children:t.jsx(Ae,{placeholder:"Example: Does my plan cover annual eye exams?",disabled:x,initQuestion:$,onSend:e=>_(e)})})]}),t.jsxs("div",{className:n.askBottomSection,children:[x&&t.jsx(Ee,{label:"Generating answer"}),!C.current&&t.jsx(Pe,{onExampleClicked:he,useGPT4V:l}),!x&&o&&!c&&t.jsx("div",{className:n.askAnswerContainer,children:t.jsx(je,{answer:o,isStreaming:!1,onCitationClicked:e=>Ce(e),onThoughtProcessClicked:()=>T(m.ThoughtProcessTab),onSupportingContentClicked:()=>T(m.SupportingContentTab)})}),c?t.jsx("div",{className:n.askAnswerContainer,children:t.jsx(we,{error:c.toString(),onRetry:()=>_(C.current)})}):null,u&&o&&t.jsx(Ve,{className:n.askAnalysisPanel,activeCitation:B,onActiveTabChanged:e=>T(e),citationHeight:"600px",answer:o,activeTab:u})]}),t.jsxs(Ue,{headerText:"Configure answer generation",isOpen:f,isBlocking:!1,onDismiss:()=>v(!1),closeButtonAriaLabel:"Close",onRenderFooterContent:()=>t.jsx(Be,{onClick:()=>v(!1),children:"Close"}),isFooterAtBottom:!0,children:[t.jsx(q,{className:n.askSettingsSeparator,defaultValue:k,label:"Override prompt template",multiline:!0,autoAdjustHeight:!0,onChange:de}),t.jsx(Fe,{className:n.chatSettingsSeparator,label:"Temperature",min:0,max:1,step:.1,defaultValue:A,onChange:me,showValue:!0,snapToStep:!0}),t.jsx(Qe,{className:n.askSettingsSeparator,label:"Retrieve this many search results:",min:1,max:50,defaultValue:j.toString(),onChange:Se}),t.jsx(q,{className:n.askSettingsSeparator,label:"Exclude category",onChange:ke}),ie&&t.jsx(g,{className:n.askSettingsSeparator,checked:h,label:"Use semantic ranker for retrieval",onChange:ge}),t.jsx(g,{className:n.askSettingsSeparator,checked:V,label:"Use query-contextual summaries instead of whole documents",onChange:ve,disabled:!h}),G&&t.jsx(Oe,{gpt4vInputs:O,isUseGPT4V:l,updateUseGPT4V:e=>{X(e)},updateGPT4VInputs:e=>Y(e)}),le&&t.jsx(Re,{showImageOptions:l&&G,updateVectorFields:e=>se(e),updateRetrievalMode:e=>P(e)}),d&&t.jsx(g,{className:n.askSettingsSeparator,checked:N||S,label:"Use oid security filter",disabled:!D(i)||S,onChange:xe}),d&&t.jsx(g,{className:n.askSettingsSeparator,checked:I||S,label:"Use groups security filter",disabled:!D(i)||S,onChange:_e}),d&&t.jsx(Ne,{})]})]})}Xe.displayName="Ask";export{Xe as Component}; +//# sourceMappingURL=Ask-2a9371aa.js.map diff --git a/app/backend/static/assets/Ask-3c4f5122.js.map b/app/backend/static/assets/Ask-2a9371aa.js.map similarity index 99% rename from app/backend/static/assets/Ask-3c4f5122.js.map rename to app/backend/static/assets/Ask-2a9371aa.js.map index 9cc80d43..abb2a46e 100644 --- a/app/backend/static/assets/Ask-3c4f5122.js.map +++ b/app/backend/static/assets/Ask-2a9371aa.js.map @@ -1 +1 @@ -{"version":3,"file":"Ask-3c4f5122.js","sources":["../../../frontend/src/pages/ask/Ask.tsx"],"sourcesContent":["import { useEffect, useRef, useState } from \"react\";\nimport { Checkbox, Panel, DefaultButton, Spinner, Slider, TextField, SpinButton, IDropdownOption, Dropdown } from \"@fluentui/react\";\n\nimport styles from \"./Ask.module.css\";\n\nimport { askApi, configApi, ChatAppResponse, ChatAppRequest, RetrievalMode, VectorFieldOptions, GPT4VInput } from \"../../api\";\nimport { Answer, AnswerError } from \"../../components/Answer\";\nimport { QuestionInput } from \"../../components/QuestionInput\";\nimport { ExampleList } from \"../../components/Example\";\nimport { AnalysisPanel, AnalysisPanelTabs } from \"../../components/AnalysisPanel\";\nimport { SettingsButton } from \"../../components/SettingsButton/SettingsButton\";\nimport { useLogin, getToken, isLoggedIn, requireAccessControl } from \"../../authConfig\";\nimport { VectorSettings } from \"../../components/VectorSettings\";\nimport { GPT4VSettings } from \"../../components/GPT4VSettings\";\n\nimport { useMsal } from \"@azure/msal-react\";\nimport { TokenClaimsDisplay } from \"../../components/TokenClaimsDisplay\";\n\nexport function Component(): JSX.Element {\n const [isConfigPanelOpen, setIsConfigPanelOpen] = useState(false);\n const [promptTemplate, setPromptTemplate] = useState(\"\");\n const [promptTemplatePrefix, setPromptTemplatePrefix] = useState(\"\");\n const [promptTemplateSuffix, setPromptTemplateSuffix] = useState(\"\");\n const [temperature, setTemperature] = useState(0.3);\n const [retrievalMode, setRetrievalMode] = useState(RetrievalMode.Hybrid);\n const [retrieveCount, setRetrieveCount] = useState(3);\n const [useSemanticRanker, setUseSemanticRanker] = useState(true);\n const [useSemanticCaptions, setUseSemanticCaptions] = useState(false);\n const [useGPT4V, setUseGPT4V] = useState(false);\n const [gpt4vInput, setGPT4VInput] = useState(GPT4VInput.TextAndImages);\n const [excludeCategory, setExcludeCategory] = useState(\"\");\n const [question, setQuestion] = useState(\"\");\n const [vectorFieldList, setVectorFieldList] = useState([VectorFieldOptions.Embedding, VectorFieldOptions.ImageEmbedding]);\n const [useOidSecurityFilter, setUseOidSecurityFilter] = useState(false);\n const [useGroupsSecurityFilter, setUseGroupsSecurityFilter] = useState(false);\n const [showGPT4VOptions, setShowGPT4VOptions] = useState(false);\n const [showSemanticRankerOption, setShowSemanticRankerOption] = useState(false);\n const [showVectorOption, setShowVectorOption] = useState(false);\n\n const lastQuestionRef = useRef(\"\");\n\n const [isLoading, setIsLoading] = useState(false);\n const [error, setError] = useState();\n const [answer, setAnswer] = useState();\n\n const [activeCitation, setActiveCitation] = useState();\n const [activeAnalysisPanelTab, setActiveAnalysisPanelTab] = useState(undefined);\n\n const client = useLogin ? useMsal().instance : undefined;\n\n const getConfig = async () => {\n const token = client ? await getToken(client) : undefined;\n\n configApi(token).then(config => {\n setShowGPT4VOptions(config.showGPT4VOptions);\n setUseSemanticRanker(config.showSemanticRankerOption);\n setShowSemanticRankerOption(config.showSemanticRankerOption);\n setShowVectorOption(config.showVectorOption);\n if (!config.showVectorOption) {\n setRetrievalMode(RetrievalMode.Text);\n }\n });\n };\n\n useEffect(() => {\n getConfig();\n }, []);\n\n const makeApiRequest = async (question: string) => {\n lastQuestionRef.current = question;\n\n error && setError(undefined);\n setIsLoading(true);\n setActiveCitation(undefined);\n setActiveAnalysisPanelTab(undefined);\n\n const token = client ? await getToken(client) : undefined;\n\n try {\n const request: ChatAppRequest = {\n messages: [\n {\n content: question,\n role: \"user\"\n }\n ],\n context: {\n overrides: {\n prompt_template: promptTemplate.length === 0 ? undefined : promptTemplate,\n prompt_template_prefix: promptTemplatePrefix.length === 0 ? undefined : promptTemplatePrefix,\n prompt_template_suffix: promptTemplateSuffix.length === 0 ? undefined : promptTemplateSuffix,\n exclude_category: excludeCategory.length === 0 ? undefined : excludeCategory,\n top: retrieveCount,\n temperature: temperature,\n retrieval_mode: retrievalMode,\n semantic_ranker: useSemanticRanker,\n semantic_captions: useSemanticCaptions,\n use_oid_security_filter: useOidSecurityFilter,\n use_groups_security_filter: useGroupsSecurityFilter,\n vector_fields: vectorFieldList,\n use_gpt4v: useGPT4V,\n gpt4v_input: gpt4vInput\n }\n },\n // ChatAppProtocol: Client must pass on any session state received from the server\n session_state: answer ? answer.choices[0].session_state : null\n };\n const result = await askApi(request, token);\n setAnswer(result);\n } catch (e) {\n setError(e);\n } finally {\n setIsLoading(false);\n }\n };\n\n const onPromptTemplateChange = (_ev?: React.FormEvent, newValue?: string) => {\n setPromptTemplate(newValue || \"\");\n };\n\n const onPromptTemplatePrefixChange = (_ev?: React.FormEvent, newValue?: string) => {\n setPromptTemplatePrefix(newValue || \"\");\n };\n\n const onPromptTemplateSuffixChange = (_ev?: React.FormEvent, newValue?: string) => {\n setPromptTemplateSuffix(newValue || \"\");\n };\n\n const onTemperatureChange = (\n newValue: number,\n range?: [number, number],\n event?: React.MouseEvent | React.TouchEvent | MouseEvent | TouchEvent | React.KeyboardEvent\n ) => {\n setTemperature(newValue);\n };\n\n const onRetrieveCountChange = (_ev?: React.SyntheticEvent, newValue?: string) => {\n setRetrieveCount(parseInt(newValue || \"3\"));\n };\n\n const onRetrievalModeChange = (_ev: React.FormEvent, option?: IDropdownOption | undefined, index?: number | undefined) => {\n setRetrievalMode(option?.data || RetrievalMode.Hybrid);\n };\n\n const onUseSemanticRankerChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseSemanticRanker(!!checked);\n };\n\n const onUseSemanticCaptionsChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseSemanticCaptions(!!checked);\n };\n\n const onExcludeCategoryChanged = (_ev?: React.FormEvent, newValue?: string) => {\n setExcludeCategory(newValue || \"\");\n };\n\n const onExampleClicked = (example: string) => {\n makeApiRequest(example);\n setQuestion(example);\n };\n\n const onShowCitation = (citation: string) => {\n if (activeCitation === citation && activeAnalysisPanelTab === AnalysisPanelTabs.CitationTab) {\n setActiveAnalysisPanelTab(undefined);\n } else {\n setActiveCitation(citation);\n setActiveAnalysisPanelTab(AnalysisPanelTabs.CitationTab);\n }\n };\n\n const onToggleTab = (tab: AnalysisPanelTabs) => {\n if (activeAnalysisPanelTab === tab) {\n setActiveAnalysisPanelTab(undefined);\n } else {\n setActiveAnalysisPanelTab(tab);\n }\n };\n\n const onUseOidSecurityFilterChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseOidSecurityFilter(!!checked);\n };\n\n const onUseGroupsSecurityFilterChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseGroupsSecurityFilter(!!checked);\n };\n\n return (\n
\n
\n setIsConfigPanelOpen(!isConfigPanelOpen)} />\n

Ask your data

\n
\n makeApiRequest(question)}\n />\n
\n
\n
\n {isLoading && }\n {!lastQuestionRef.current && }\n {!isLoading && answer && !error && (\n
\n onShowCitation(x)}\n onThoughtProcessClicked={() => onToggleTab(AnalysisPanelTabs.ThoughtProcessTab)}\n onSupportingContentClicked={() => onToggleTab(AnalysisPanelTabs.SupportingContentTab)}\n />\n
\n )}\n {error ? (\n
\n makeApiRequest(lastQuestionRef.current)} />\n
\n ) : null}\n {activeAnalysisPanelTab && answer && (\n onToggleTab(x)}\n citationHeight=\"600px\"\n answer={answer}\n activeTab={activeAnalysisPanelTab}\n />\n )}\n
\n\n setIsConfigPanelOpen(false)}\n closeButtonAriaLabel=\"Close\"\n onRenderFooterContent={() => setIsConfigPanelOpen(false)}>Close}\n isFooterAtBottom={true}\n >\n \n\n \n\n \n \n\n {showSemanticRankerOption && (\n \n )}\n\n \n\n {showGPT4VOptions && (\n {\n setUseGPT4V(useGPT4V);\n }}\n updateGPT4VInputs={inputs => setGPT4VInput(inputs)}\n />\n )}\n\n {showVectorOption && (\n setVectorFieldList(options)}\n updateRetrievalMode={(retrievalMode: RetrievalMode) => setRetrievalMode(retrievalMode)}\n />\n )}\n\n {useLogin && (\n \n )}\n {useLogin && (\n \n )}\n {useLogin && }\n \n
\n );\n}\n\nComponent.displayName = 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\ No newline at end of file +{"version":3,"file":"Ask-2a9371aa.js","sources":["../../../frontend/src/pages/ask/Ask.tsx"],"sourcesContent":["import { useEffect, useRef, useState } from \"react\";\nimport { Checkbox, Panel, DefaultButton, Spinner, Slider, TextField, SpinButton, IDropdownOption, Dropdown } from \"@fluentui/react\";\n\nimport styles from \"./Ask.module.css\";\n\nimport { askApi, configApi, ChatAppResponse, ChatAppRequest, RetrievalMode, VectorFieldOptions, GPT4VInput } from \"../../api\";\nimport { Answer, AnswerError } from \"../../components/Answer\";\nimport { QuestionInput } from \"../../components/QuestionInput\";\nimport { ExampleList } from \"../../components/Example\";\nimport { AnalysisPanel, AnalysisPanelTabs } from \"../../components/AnalysisPanel\";\nimport { SettingsButton } from \"../../components/SettingsButton/SettingsButton\";\nimport { useLogin, getToken, isLoggedIn, requireAccessControl } from \"../../authConfig\";\nimport { VectorSettings } from \"../../components/VectorSettings\";\nimport { GPT4VSettings } from \"../../components/GPT4VSettings\";\n\nimport { useMsal } from \"@azure/msal-react\";\nimport { TokenClaimsDisplay } from \"../../components/TokenClaimsDisplay\";\n\nexport function Component(): JSX.Element {\n const [isConfigPanelOpen, setIsConfigPanelOpen] = useState(false);\n const [promptTemplate, setPromptTemplate] = useState(\"\");\n const [promptTemplatePrefix, setPromptTemplatePrefix] = useState(\"\");\n const [promptTemplateSuffix, setPromptTemplateSuffix] = useState(\"\");\n const [temperature, setTemperature] = useState(0.3);\n const [retrievalMode, setRetrievalMode] = useState(RetrievalMode.Hybrid);\n const [retrieveCount, setRetrieveCount] = useState(3);\n const [useSemanticRanker, setUseSemanticRanker] = useState(true);\n const [useSemanticCaptions, setUseSemanticCaptions] = useState(false);\n const [useGPT4V, setUseGPT4V] = useState(false);\n const [gpt4vInput, setGPT4VInput] = useState(GPT4VInput.TextAndImages);\n const [excludeCategory, setExcludeCategory] = useState(\"\");\n const [question, setQuestion] = useState(\"\");\n const [vectorFieldList, setVectorFieldList] = useState([VectorFieldOptions.Embedding, VectorFieldOptions.ImageEmbedding]);\n const [useOidSecurityFilter, setUseOidSecurityFilter] = useState(false);\n const [useGroupsSecurityFilter, setUseGroupsSecurityFilter] = useState(false);\n const [showGPT4VOptions, setShowGPT4VOptions] = useState(false);\n const [showSemanticRankerOption, setShowSemanticRankerOption] = useState(false);\n const [showVectorOption, setShowVectorOption] = useState(false);\n\n const lastQuestionRef = useRef(\"\");\n\n const [isLoading, setIsLoading] = useState(false);\n const [error, setError] = useState();\n const [answer, setAnswer] = useState();\n\n const [activeCitation, setActiveCitation] = useState();\n const [activeAnalysisPanelTab, setActiveAnalysisPanelTab] = useState(undefined);\n\n const client = useLogin ? useMsal().instance : undefined;\n\n const getConfig = async () => {\n const token = client ? await getToken(client) : undefined;\n\n configApi(token).then(config => {\n setShowGPT4VOptions(config.showGPT4VOptions);\n setUseSemanticRanker(config.showSemanticRankerOption);\n setShowSemanticRankerOption(config.showSemanticRankerOption);\n setShowVectorOption(config.showVectorOption);\n if (!config.showVectorOption) {\n setRetrievalMode(RetrievalMode.Text);\n }\n });\n };\n\n useEffect(() => {\n getConfig();\n }, []);\n\n const makeApiRequest = async (question: string) => {\n lastQuestionRef.current = question;\n\n error && setError(undefined);\n setIsLoading(true);\n setActiveCitation(undefined);\n setActiveAnalysisPanelTab(undefined);\n\n const token = client ? await getToken(client) : undefined;\n\n try {\n const request: ChatAppRequest = {\n messages: [\n {\n content: question,\n role: \"user\"\n }\n ],\n context: {\n overrides: {\n prompt_template: promptTemplate.length === 0 ? undefined : promptTemplate,\n prompt_template_prefix: promptTemplatePrefix.length === 0 ? undefined : promptTemplatePrefix,\n prompt_template_suffix: promptTemplateSuffix.length === 0 ? undefined : promptTemplateSuffix,\n exclude_category: excludeCategory.length === 0 ? undefined : excludeCategory,\n top: retrieveCount,\n temperature: temperature,\n retrieval_mode: retrievalMode,\n semantic_ranker: useSemanticRanker,\n semantic_captions: useSemanticCaptions,\n use_oid_security_filter: useOidSecurityFilter,\n use_groups_security_filter: useGroupsSecurityFilter,\n vector_fields: vectorFieldList,\n use_gpt4v: useGPT4V,\n gpt4v_input: gpt4vInput\n }\n },\n // ChatAppProtocol: Client must pass on any session state received from the server\n session_state: answer ? answer.choices[0].session_state : null\n };\n const result = await askApi(request, token);\n setAnswer(result);\n } catch (e) {\n setError(e);\n } finally {\n setIsLoading(false);\n }\n };\n\n const onPromptTemplateChange = (_ev?: React.FormEvent, newValue?: string) => {\n setPromptTemplate(newValue || \"\");\n };\n\n const onPromptTemplatePrefixChange = (_ev?: React.FormEvent, newValue?: string) => {\n setPromptTemplatePrefix(newValue || \"\");\n };\n\n const onPromptTemplateSuffixChange = (_ev?: React.FormEvent, newValue?: string) => {\n setPromptTemplateSuffix(newValue || \"\");\n };\n\n const onTemperatureChange = (\n newValue: number,\n range?: [number, number],\n event?: React.MouseEvent | React.TouchEvent | MouseEvent | TouchEvent | React.KeyboardEvent\n ) => {\n setTemperature(newValue);\n };\n\n const onRetrieveCountChange = (_ev?: React.SyntheticEvent, newValue?: string) => {\n setRetrieveCount(parseInt(newValue || \"3\"));\n };\n\n const onRetrievalModeChange = (_ev: React.FormEvent, option?: IDropdownOption | undefined, index?: number | undefined) => {\n setRetrievalMode(option?.data || RetrievalMode.Hybrid);\n };\n\n const onUseSemanticRankerChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseSemanticRanker(!!checked);\n };\n\n const onUseSemanticCaptionsChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseSemanticCaptions(!!checked);\n };\n\n const onExcludeCategoryChanged = (_ev?: React.FormEvent, newValue?: string) => {\n setExcludeCategory(newValue || \"\");\n };\n\n const onExampleClicked = (example: string) => {\n makeApiRequest(example);\n setQuestion(example);\n };\n\n const onShowCitation = (citation: string) => {\n if (activeCitation === citation && activeAnalysisPanelTab === AnalysisPanelTabs.CitationTab) {\n setActiveAnalysisPanelTab(undefined);\n } else {\n setActiveCitation(citation);\n setActiveAnalysisPanelTab(AnalysisPanelTabs.CitationTab);\n }\n };\n\n const onToggleTab = (tab: AnalysisPanelTabs) => {\n if (activeAnalysisPanelTab === tab) {\n setActiveAnalysisPanelTab(undefined);\n } else {\n setActiveAnalysisPanelTab(tab);\n }\n };\n\n const onUseOidSecurityFilterChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseOidSecurityFilter(!!checked);\n };\n\n const onUseGroupsSecurityFilterChange = (_ev?: React.FormEvent, checked?: boolean) => {\n setUseGroupsSecurityFilter(!!checked);\n };\n\n return (\n
\n
\n setIsConfigPanelOpen(!isConfigPanelOpen)} />\n

Ask your data

\n
\n makeApiRequest(question)}\n />\n
\n
\n
\n {isLoading && }\n {!lastQuestionRef.current && }\n {!isLoading && answer && !error && (\n
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\n )}\n {error ? (\n
\n makeApiRequest(lastQuestionRef.current)} />\n
\n ) : null}\n {activeAnalysisPanelTab && answer && (\n onToggleTab(x)}\n citationHeight=\"600px\"\n answer={answer}\n activeTab={activeAnalysisPanelTab}\n />\n )}\n
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Refactored from https://github.com/Azure-Samples/ms-identity-javascript-react-tutorial/blob/main/1-Authentication/1-sign-in/SPA/src/authConfig.js\n\nimport { IPublicClientApplication } from \"@azure/msal-browser\";\n\nconst appServicesAuthTokenUrl = \".auth/me\";\nconst appServicesAuthTokenRefreshUrl = \".auth/refresh\";\nconst appServicesAuthLogoutUrl = \".auth/logout?post_logout_redirect_uri=/\";\n\ninterface AppServicesToken {\n id_token: string;\n access_token: string;\n user_claims: Record;\n}\n\ninterface AuthSetup {\n // Set to true if login elements should be shown in the UI\n useLogin: boolean;\n // Set to true if access control is enforced by the application\n requireAccessControl: boolean;\n /**\n * Configuration object to be passed to MSAL instance on creation.\n * For a full list of MSAL.js configuration parameters, visit:\n * https://github.com/AzureAD/microsoft-authentication-library-for-js/blob/dev/lib/msal-browser/docs/configuration.md\n */\n msalConfig: {\n auth: {\n clientId: string; // Client app id used for login\n authority: string; // Directory to use for login https://learn.microsoft.com/azure/active-directory/develop/msal-client-application-configuration#authority\n redirectUri: string; // Points to window.location.origin. You must register this URI on Azure Portal/App Registration.\n postLogoutRedirectUri: string; // Indicates the page to navigate after logout.\n navigateToLoginRequestUrl: boolean; // If \"true\", will navigate back to the original request location before processing the auth code response.\n };\n cache: {\n cacheLocation: string; // Configures cache location. \"sessionStorage\" is more secure, but \"localStorage\" gives you SSO between tabs.\n storeAuthStateInCookie: boolean; // Set this to \"true\" if you are having issues on IE11 or Edge\n };\n };\n loginRequest: {\n /**\n * Scopes you add here will be prompted for user consent during sign-in.\n * By default, MSAL.js will add OIDC scopes (openid, profile, email) to any login request.\n * For more information about OIDC scopes, visit:\n * https://docs.microsoft.com/azure/active-directory/develop/v2-permissions-and-consent#openid-connect-scopes\n */\n scopes: Array;\n };\n tokenRequest: {\n scopes: Array;\n };\n}\n\n// Fetch the auth setup JSON data from the API if not already cached\nasync function fetchAuthSetup(): Promise {\n const response = await fetch(\"/auth_setup\");\n if (!response.ok) {\n throw new Error(`auth setup response was not ok: ${response.status}`);\n }\n return await response.json();\n}\n\nconst authSetup = await fetchAuthSetup();\n\nexport const useLogin = authSetup.useLogin;\n\nexport const requireAccessControl = authSetup.requireAccessControl;\n\n/**\n * Configuration object to be passed to MSAL instance on creation.\n * For a full list of MSAL.js configuration parameters, visit:\n * https://github.com/AzureAD/microsoft-authentication-library-for-js/blob/dev/lib/msal-browser/docs/configuration.md\n */\nexport const msalConfig = authSetup.msalConfig;\n\n/**\n * Scopes you add here will be prompted for user consent during sign-in.\n * By default, MSAL.js will add OIDC scopes (openid, profile, email) to any login request.\n * For more information about OIDC scopes, visit:\n * https://docs.microsoft.com/en-us/azure/active-directory/develop/v2-permissions-and-consent#openid-connect-scopes\n */\nexport const loginRequest = authSetup.loginRequest;\n\nconst tokenRequest = authSetup.tokenRequest;\n\n// Build an absolute redirect URI using the current window's location and the relative redirect URI from auth setup\nexport const getRedirectUri = () => {\n return window.location.origin + authSetup.msalConfig.auth.redirectUri;\n};\n\n// Get an access token if a user logged in using app services authentication\n// Returns null if the app doesn't support app services authentication\nconst getAppServicesToken = (): Promise => {\n return fetch(appServicesAuthTokenRefreshUrl).then(r => {\n if (r.ok) {\n return fetch(appServicesAuthTokenUrl).then(r => {\n if (r.ok) {\n return r.json().then(json => {\n if (json.length > 0) {\n return {\n id_token: json[0][\"id_token\"] as string,\n access_token: json[0][\"access_token\"] as string,\n user_claims: json[0][\"user_claims\"].reduce((acc: Record, item: Record) => {\n acc[item.typ] = item.val;\n return acc;\n }, {}) as Record\n };\n }\n\n return null;\n });\n }\n\n return null;\n });\n }\n\n return null;\n });\n};\n\nexport const appServicesToken = await getAppServicesToken();\n\n// Sign out of app services\n// Learn more at https://learn.microsoft.com/azure/app-service/configure-authentication-customize-sign-in-out#sign-out-of-a-session\nexport const appServicesLogout = () => {\n window.location.href = appServicesAuthLogoutUrl;\n};\n\n// Determine if the user is logged in\n// The user may have logged in either using the app services login or the on-page login\nexport const isLoggedIn = (client: IPublicClientApplication | undefined): boolean => {\n return client?.getActiveAccount() != null || appServicesToken != null;\n};\n\n// Get an access token for use with the API server.\n// ID token received when logging in may not be used for this purpose because it has the incorrect audience\n// Use the access token from app services login if available\nexport const getToken = (client: IPublicClientApplication): Promise => {\n if (appServicesToken) {\n return Promise.resolve(appServicesToken.access_token);\n }\n\n return client\n .acquireTokenSilent({\n ...tokenRequest,\n redirectUri: getRedirectUri()\n })\n .then(r => r.accessToken)\n .catch(error => {\n console.log(error);\n return undefined;\n });\n};\n","export default \"__VITE_ASSET__4e6ad5ae__\"","import { DefaultButton } from \"@fluentui/react\";\nimport { useMsal } from \"@azure/msal-react\";\n\nimport styles from \"./LoginButton.module.css\";\nimport { getRedirectUri, loginRequest } from \"../../authConfig\";\nimport { appServicesToken, appServicesLogout } from \"../../authConfig\";\n\nexport const LoginButton = () => {\n const { instance } = useMsal();\n const activeAccount = instance.getActiveAccount();\n const isLoggedIn = (activeAccount || appServicesToken) != null;\n\n const handleLoginPopup = () => {\n /**\n * When using popup and silent APIs, we recommend setting the redirectUri to a blank page or a page\n * that does not implement MSAL. Keep in mind that all redirect routes must be registered with the application\n * For more information, please follow this link: https://github.com/AzureAD/microsoft-authentication-library-for-js/blob/dev/lib/msal-browser/docs/login-user.md#redirecturi-considerations\n */\n instance\n .loginPopup({\n ...loginRequest,\n redirectUri: getRedirectUri()\n })\n .catch(error => console.log(error));\n };\n const handleLogoutPopup = () => {\n if (activeAccount) {\n instance\n .logoutPopup({\n mainWindowRedirectUri: \"/\", // redirects the top level app after logout\n account: instance.getActiveAccount()\n })\n .catch(error => console.log(error));\n } else {\n appServicesLogout();\n }\n };\n const logoutText = `Logout\\n${activeAccount?.username ?? appServicesToken?.user_claims?.preferred_username}`;\n return (\n \n );\n};\n","import { Outlet, NavLink, Link } from \"react-router-dom\";\n\nimport github from \"../../assets/github.svg\";\n\nimport styles from \"./Layout.module.css\";\n\nimport { useLogin } from \"../../authConfig\";\n\nimport { LoginButton } from \"../../components/LoginButton\";\n\nconst Layout = () => {\n return (\n
\n
\n
\n \n

GPT + Enterprise data | Sample

\n \n \n

Azure OpenAI + AI Search

\n {useLogin && }\n
\n
\n\n \n
\n );\n};\n\nexport default Layout;\n","const BACKEND_URI = \"\";\n\nimport { ChatAppResponse, ChatAppResponseOrError, ChatAppRequest, Config } from \"./models\";\nimport { useLogin, appServicesToken } from \"../authConfig\";\n\nexport function getHeaders(idToken: string | undefined): Record {\n var headers: Record = {\n \"Content-Type\": \"application/json\"\n };\n // If using login and not using app services, add the id token of the logged in account as the authorization\n if (useLogin && appServicesToken == null) {\n if (idToken) {\n headers[\"Authorization\"] = `Bearer ${idToken}`;\n }\n }\n\n return headers;\n}\n\nexport async function askApi(request: ChatAppRequest, idToken: string | undefined): Promise {\n const response = await fetch(`${BACKEND_URI}/ask`, {\n method: \"POST\",\n headers: getHeaders(idToken),\n body: JSON.stringify(request)\n });\n\n const parsedResponse: ChatAppResponseOrError = await response.json();\n if (response.status > 299 || !response.ok) {\n throw Error(parsedResponse.error || \"Unknown error\");\n }\n\n return parsedResponse as ChatAppResponse;\n}\n\nexport async function configApi(idToken: string | undefined): Promise {\n const response = await fetch(`${BACKEND_URI}/config`, {\n method: \"GET\",\n headers: getHeaders(idToken)\n });\n\n return (await response.json()) as Config;\n}\n\nexport async function chatApi(request: ChatAppRequest, idToken: string | undefined): Promise {\n return await fetch(`${BACKEND_URI}/chat`, {\n method: \"POST\",\n headers: getHeaders(idToken),\n body: JSON.stringify(request)\n });\n}\n\nexport function getCitationFilePath(citation: string): string {\n return `${BACKEND_URI}/content/${citation}`;\n}\n","export const enum RetrievalMode {\n Hybrid = \"hybrid\",\n Vectors = \"vectors\",\n Text = \"text\"\n}\n\nexport const enum GPT4VInput {\n TextAndImages = \"textAndImages\",\n Images = \"images\",\n Texts = \"texts\"\n}\n\nexport const enum VectorFieldOptions {\n Embedding = \"embedding\",\n ImageEmbedding = \"imageEmbedding\",\n Both = \"both\"\n}\n\nexport type ChatAppRequestOverrides = {\n retrieval_mode?: RetrievalMode;\n semantic_ranker?: boolean;\n semantic_captions?: boolean;\n exclude_category?: string;\n top?: number;\n temperature?: number;\n prompt_template?: string;\n prompt_template_prefix?: string;\n prompt_template_suffix?: string;\n suggest_followup_questions?: boolean;\n use_oid_security_filter?: boolean;\n use_groups_security_filter?: boolean;\n use_gpt4v?: boolean;\n gpt4v_input?: GPT4VInput;\n vector_fields: VectorFieldOptions[];\n};\n\nexport type ResponseMessage = {\n content: string;\n role: string;\n};\n\nexport type Thoughts = {\n title: string;\n description: any; // It can be any output from the api\n props?: { [key: string]: string };\n};\n\nexport type ResponseContext = {\n data_points: string[];\n followup_questions: string[] | null;\n thoughts: Thoughts[];\n};\n\nexport type ResponseChoice = {\n index: number;\n message: ResponseMessage;\n context: ResponseContext;\n session_state: any;\n};\n\nexport type ChatAppResponseOrError = {\n choices?: ResponseChoice[];\n error?: string;\n};\n\nexport type ChatAppResponse = {\n choices: ResponseChoice[];\n};\n\nexport type ChatAppRequestContext = {\n overrides?: ChatAppRequestOverrides;\n};\n\nexport type ChatAppRequest = {\n messages: ResponseMessage[];\n context?: ChatAppRequestContext;\n stream?: boolean;\n session_state: any;\n};\n\nexport type Config = {\n showGPT4VOptions: boolean;\n showSemanticRankerOption: boolean;\n showVectorOption: boolean;\n};\n","import { renderToStaticMarkup } from \"react-dom/server\";\nimport { getCitationFilePath } from \"../../api\";\n\ntype HtmlParsedAnswer = {\n answerHtml: string;\n citations: string[];\n};\n\nexport function parseAnswerToHtml(answer: string, isStreaming: boolean, onCitationClicked: (citationFilePath: string) => void): HtmlParsedAnswer {\n const citations: string[] = [];\n\n // trim any whitespace from the end of the answer after removing follow-up questions\n let parsedAnswer = answer.trim();\n\n // Omit a citation that is still being typed during streaming\n if (isStreaming) {\n let lastIndex = parsedAnswer.length;\n for (let i = parsedAnswer.length - 1; i >= 0; i--) {\n if (parsedAnswer[i] === \"]\") {\n break;\n } else if (parsedAnswer[i] === \"[\") {\n lastIndex = i;\n break;\n }\n }\n const truncatedAnswer = parsedAnswer.substring(0, lastIndex);\n parsedAnswer = truncatedAnswer;\n }\n\n const parts = parsedAnswer.split(/\\[([^\\]]+)\\]/g);\n\n const fragments: string[] = parts.map((part, index) => {\n if (index % 2 === 0) {\n return part;\n } else {\n let citationIndex: number;\n if (citations.indexOf(part) !== -1) {\n citationIndex = citations.indexOf(part) + 1;\n } else {\n citations.push(part);\n citationIndex = citations.length;\n }\n\n const path = getCitationFilePath(part);\n\n return renderToStaticMarkup(\n onCitationClicked(path)}>\n {citationIndex}\n \n );\n }\n });\n\n return {\n answerHtml: fragments.join(\"\"),\n citations\n };\n}\n","import { Sparkle28Filled } from \"@fluentui/react-icons\";\n\nexport const AnswerIcon = () => {\n return ;\n};\n","import { useMemo } from \"react\";\nimport { Stack, IconButton } from \"@fluentui/react\";\nimport DOMPurify from \"dompurify\";\n\nimport styles from \"./Answer.module.css\";\n\nimport { ChatAppResponse, getCitationFilePath } from \"../../api\";\nimport { parseAnswerToHtml } from \"./AnswerParser\";\nimport { AnswerIcon } from \"./AnswerIcon\";\n\ninterface Props {\n answer: ChatAppResponse;\n isSelected?: boolean;\n isStreaming: boolean;\n onCitationClicked: (filePath: string) => void;\n onThoughtProcessClicked: () => void;\n onSupportingContentClicked: () => void;\n onFollowupQuestionClicked?: (question: string) => void;\n showFollowupQuestions?: boolean;\n}\n\nexport const Answer = ({\n answer,\n isSelected,\n isStreaming,\n onCitationClicked,\n onThoughtProcessClicked,\n onSupportingContentClicked,\n onFollowupQuestionClicked,\n showFollowupQuestions\n}: Props) => {\n const followupQuestions = answer.choices[0].context.followup_questions;\n const messageContent = answer.choices[0].message.content;\n const parsedAnswer = useMemo(() => parseAnswerToHtml(messageContent, isStreaming, onCitationClicked), [answer]);\n\n const sanitizedAnswerHtml = DOMPurify.sanitize(parsedAnswer.answerHtml);\n\n return (\n \n \n \n \n
\n onThoughtProcessClicked()}\n disabled={!answer.choices[0].context.thoughts?.length}\n />\n onSupportingContentClicked()}\n disabled={!answer.choices[0].context.data_points}\n />\n
\n \n \n\n \n
\n \n\n {!!parsedAnswer.citations.length && (\n \n \n Citations:\n {parsedAnswer.citations.map((x, i) => {\n const path = getCitationFilePath(x);\n return (\n onCitationClicked(path)}>\n {`${++i}. ${x}`}\n \n );\n })}\n \n \n )}\n\n {!!followupQuestions?.length && showFollowupQuestions && onFollowupQuestionClicked && (\n \n \n Follow-up questions:\n {followupQuestions.map((x, i) => {\n return (\n onFollowupQuestionClicked(x)}>\n {`${x}`}\n \n );\n })}\n \n \n )}\n \n );\n};\n","import { Stack } from \"@fluentui/react\";\nimport { animated, useSpring } from \"@react-spring/web\";\n\nimport styles from \"./Answer.module.css\";\nimport { AnswerIcon } from \"./AnswerIcon\";\n\nexport const AnswerLoading = () => {\n const animatedStyles = useSpring({\n from: { opacity: 0 },\n to: { opacity: 1 }\n });\n\n return (\n \n \n \n \n

\n Generating answer\n \n

\n \n \n \n );\n};\n","import { Stack, PrimaryButton } from \"@fluentui/react\";\nimport { ErrorCircle24Regular } from \"@fluentui/react-icons\";\n\nimport styles from \"./Answer.module.css\";\n\ninterface Props {\n error: string;\n onRetry: () => void;\n}\n\nexport const AnswerError = ({ error, onRetry }: Props) => {\n return (\n \n \n\n \n

{error}

\n \n\n \n \n );\n};\n","import { useEffect, useState } from \"react\";\nimport { useMsal } from \"@azure/msal-react\";\nimport { Stack, TextField } from \"@fluentui/react\";\nimport { Button, Tooltip, Field, Textarea } from \"@fluentui/react-components\";\nimport { Send28Filled } from \"@fluentui/react-icons\";\nimport { isLoggedIn, requireAccessControl } from \"../../authConfig\";\n\nimport styles from \"./QuestionInput.module.css\";\n\ninterface Props {\n onSend: (question: string) => void;\n disabled: boolean;\n initQuestion?: string;\n placeholder?: string;\n clearOnSend?: boolean;\n}\n\nexport const QuestionInput = ({ onSend, disabled, placeholder, clearOnSend, initQuestion }: Props) => {\n const [question, setQuestion] = useState(\"\");\n\n useEffect(() => {\n initQuestion && setQuestion(initQuestion);\n }, [initQuestion]);\n\n const sendQuestion = () => {\n if (disabled || !question.trim()) {\n return;\n }\n\n onSend(question);\n\n if (clearOnSend) {\n setQuestion(\"\");\n }\n };\n\n const onEnterPress = (ev: React.KeyboardEvent) => {\n if (ev.key === \"Enter\" && !ev.shiftKey) {\n ev.preventDefault();\n sendQuestion();\n }\n };\n\n const onQuestionChange = (_ev: React.FormEvent, newValue?: string) => {\n if (!newValue) {\n setQuestion(\"\");\n } else if (newValue.length <= 1000) {\n setQuestion(newValue);\n }\n };\n\n const { instance } = useMsal();\n const disableRequiredAccessControl = requireAccessControl && !isLoggedIn(instance);\n const sendQuestionDisabled = disabled || !question.trim() || disableRequiredAccessControl;\n\n if (disableRequiredAccessControl) {\n placeholder = \"Please login to continue...\";\n }\n\n return (\n \n \n
\n \n
\n \n );\n};\n","import styles from \"./Example.module.css\";\n\ninterface Props {\n text: string;\n value: string;\n onClick: (value: string) => void;\n}\n\nexport const Example = ({ text, value, onClick }: Props) => {\n return (\n
onClick(value)}>\n

{text}

\n
\n );\n};\n","import { Example } from \"./Example\";\n\nimport styles from \"./Example.module.css\";\n\nconst DEFAULT_EXAMPLES: string[] = [\n \"What is included in my Northwind Health Plus plan that is not in standard?\",\n \"What happens in a performance review?\",\n \"What does a Product Manager do?\"\n];\n\nconst GPT4V_EXAMPLES: string[] = [\n \"Compare the impact of interest rates and GDP in financial markets.\",\n \"What is the expected trend for the S&P 500 index over the next five years? Compare it to the past S&P 500 performance\",\n \"Can you identify any correlation between oil prices and stock market trends?\"\n];\n\ninterface Props {\n onExampleClicked: (value: string) => void;\n useGPT4V?: boolean;\n}\n\nexport const ExampleList = ({ onExampleClicked, useGPT4V }: Props) => {\n return (\n
    \n {(useGPT4V ? GPT4V_EXAMPLES : DEFAULT_EXAMPLES).map((question, i) => (\n
  • \n \n
    • \n ))}\n
\n );\n};\n","import styles from \"./UserChatMessage.module.css\";\n\ninterface Props {\n message: string;\n}\n\nexport const UserChatMessage = ({ message }: Props) => {\n return (\n
\n
{message}
\n
\n );\n};\n","import DOMPurify from \"dompurify\";\n\ntype ParsedSupportingContentItem = {\n title: string;\n content: string;\n};\n\nexport function parseSupportingContentItem(item: string): ParsedSupportingContentItem {\n // Assumes the item starts with the file name followed by : and the content.\n // Example: \"sdp_corporate.pdf: this is the content that follows\".\n const parts = item.split(\": \");\n const title = parts[0];\n const content = DOMPurify.sanitize(parts.slice(1).join(\": \"));\n\n return {\n title,\n content\n };\n}\n","import { parseSupportingContentItem } from \"./SupportingContentParser\";\n\nimport styles from \"./SupportingContent.module.css\";\n\ninterface Props {\n supportingContent: string[] | { text: string[]; images?: { url: string }[] };\n}\n\nexport const SupportingContent = ({ supportingContent }: Props) => {\n const textItems = Array.isArray(supportingContent) ? supportingContent : supportingContent.text;\n const imageItems = !Array.isArray(supportingContent) ? supportingContent?.images : [];\n return (\n
    \n {textItems.map((c, ind) => {\n const parsed = parseSupportingContentItem(c);\n return (\n
  • \n

    {parsed.title}

    \n

    \n

    • \n );\n })}\n {imageItems?.map((img, ind) => {\n return ;\n })}\n
\n );\n};\n","export enum AnalysisPanelTabs {\n ThoughtProcessTab = \"thoughtProcess\",\n SupportingContentTab = \"supportingContent\",\n CitationTab = \"citation\"\n}\n","import { Stack } from \"@fluentui/react\";\nimport SyntaxHighlighter from \"react-syntax-highlighter\";\n\nimport styles from \"./AnalysisPanel.module.css\";\n\nimport { Thoughts } from \"../../api\";\n\ninterface Props {\n thoughts: Thoughts[];\n}\n\nexport const ThoughtProcess = ({ thoughts }: Props) => {\n return (\n
    \n {thoughts.map((t, ind) => {\n return (\n
  • \n
    {t.title}
    \n \n {t.props &&\n (Object.keys(t.props) || []).map((k: any) => (\n \n {k}: {JSON.stringify(t.props?.[k])}\n \n ))}\n \n {Array.isArray(t.description) ? (\n \n {JSON.stringify(t.description, null, 2)}\n \n ) : (\n
    {t.description}
    \n )}\n
    • \n );\n })}\n
\n );\n};\n","import { Stack, Pivot, PivotItem } from \"@fluentui/react\";\n\nimport styles from \"./AnalysisPanel.module.css\";\n\nimport { SupportingContent } from \"../SupportingContent\";\nimport { ChatAppResponse } from \"../../api\";\nimport { AnalysisPanelTabs } from \"./AnalysisPanelTabs\";\nimport { ThoughtProcess } from \"./ThoughtProcess\";\nimport { useMsal } from \"@azure/msal-react\";\nimport { getHeaders } from \"../../api\";\nimport { useLogin, getToken } from \"../../authConfig\";\nimport { useState, useEffect } from \"react\";\n\ninterface Props {\n className: string;\n activeTab: AnalysisPanelTabs;\n onActiveTabChanged: (tab: AnalysisPanelTabs) => void;\n activeCitation: string | undefined;\n citationHeight: string;\n answer: ChatAppResponse;\n}\n\nconst pivotItemDisabledStyle = { disabled: true, style: { color: \"grey\" } };\n\nexport const AnalysisPanel = ({ answer, activeTab, activeCitation, citationHeight, className, onActiveTabChanged }: Props) => {\n const isDisabledThoughtProcessTab: boolean = !answer.choices[0].context.thoughts;\n const isDisabledSupportingContentTab: boolean = !answer.choices[0].context.data_points;\n const isDisabledCitationTab: boolean = !activeCitation;\n const [citation, setCitation] = useState(\"\");\n\n const client = useLogin ? useMsal().instance : undefined;\n\n const fetchCitation = async () => {\n const token = client ? await getToken(client) : undefined;\n if (activeCitation) {\n // Get hash from the URL as it may contain #page=N\n // which helps browser PDF renderer jump to correct page N\n const originalHash = activeCitation.indexOf(\"#\") ? activeCitation.split(\"#\")[1] : \"\";\n const response = await fetch(activeCitation, {\n method: \"GET\",\n headers: getHeaders(token)\n });\n const citationContent = await response.blob();\n let citationObjectUrl = URL.createObjectURL(citationContent);\n // Add hash back to the new blob URL\n if (originalHash) {\n citationObjectUrl += \"#\" + originalHash;\n }\n setCitation(citationObjectUrl);\n }\n };\n useEffect(() => {\n fetchCitation();\n }, []);\n\n return (\n pivotItem && onActiveTabChanged(pivotItem.props.itemKey! as AnalysisPanelTabs)}\n >\n \n \n \n \n \n \n \n {activeCitation?.endsWith(\".png\") ? (\n \n ) : (\n