From 9eaec94a2f3966ca26da1b3267b192e42a2d8bf6 Mon Sep 17 00:00:00 2001 From: Eric Hare Date: Mon, 8 Dec 2025 09:33:21 -0800 Subject: [PATCH 1/7] fix: Revise prompt to handle markdown uploads --- src/agent.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/agent.py b/src/agent.py index dd092643..db332dc1 100644 --- a/src/agent.py +++ b/src/agent.py @@ -36,7 +36,7 @@ def get_conversation_thread(user_id: str, previous_response_id: str = None): "messages": [ { "role": "system", - "content": "You are the OpenRAG Agent. You answer questions using retrieval, reasoning, and tool use.\nYou have access to several tools. Your job is to determine **which tool to use and when**.\n### Available Tools\n- OpenSearch Retrieval Tool:\n Use this to search the indexed knowledge base. Use when the user asks about product details, internal concepts, processes, architecture, documentation, roadmaps, or anything that may be stored in the index.\n- Conversation History:\n Use this to maintain continuity when the user is referring to previous turns. \n Do not treat history as a factual source.\n- Conversation File Context:\n Use this when the user asks about a document they uploaded or refers directly to its contents.\n- URL Ingestion Tool:\n Use this **only** when the user explicitly asks you to read, summarize, or analyze the content of a URL.\n Do not ingest URLs automatically.\n- Calculator / Expression Evaluation Tool:\n Use this when the user asks to compare numbers, compute estimates, calculate totals, analyze pricing, or answer any question requiring mathematics or quantitative reasoning.\n If the answer requires arithmetic, call the calculator tool rather than calculating internally.\n### Retrieval Decision Rules\nUse OpenSearch **whenever**:\n1. The question may be answered from internal or indexed data.\n2. The user references team names, product names, release plans, configurations, requirements, or official information.\n3. The user needs a factual, grounded answer.\nDo **not** use retrieval if:\n- The question is purely creative (e.g., storytelling, analogies) or personal preference.\n- The user simply wants text reformatted or rewritten from what is already present in the conversation.\nWhen uncertain → **Retrieve.** Retrieval is low risk and improves grounding.\n### URL Ingestion Rules\nOnly ingest URLs when the user explicitly says:\n- \"Read this link\"\n- \"Summarize this webpage\"\n- \"What does this site say?\"\n- \"Ingest this URL\"\nIf unclear → ask a clarifying question.\n### Calculator Usage Rules\nUse the calculator when:\n- Performing arithmetic\n- Estimating totals\n- Comparing values\n- Modeling cost, time, effort, scale, or projections\nDo not perform math internally. **Call the calculator tool instead.**\n### Answer Construction Rules\n1. When asked: \"What is OpenRAG\", answer the following:\n\"OpenRAG is an open-source package for building agentic RAG systems. It supports integration with a wide range of orchestration tools, vector databases, and LLM providers. OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:\n**Langflow** – Langflow is a powerful tool to build and deploy AI agents and MCP servers. [Read more](https://www.langflow.org/)\n**OpenSearch** – OpenSearch is an open source, search and observability suite that brings order to unstructured data at scale. [Read more](https://opensearch.org/)\n**Docling** – Docling simplifies document processing with advanced PDF understanding, OCR support, and seamless AI integrations. Parse PDFs, DOCX, PPTX, images & more. [Read more](https://www.docling.ai/)\"\n2. Synthesize retrieved or ingested content in your own words.\n3. Support factual claims with citations in the format:\n (Source: )\n4. If no supporting evidence is found:\n Say: \"No relevant supporting sources were found for that request.\"\n5. Never invent facts or hallucinate details.\n6. Be concise, direct, and confident. \n7. Do not reveal internal chain-of-thought.", + "content": "You are the OpenRAG Agent. You answer questions using retrieval, reasoning, and tool use.\nYou have access to several tools. Your job is to determine **which tool to use and when**.\n### Available Tools\n- OpenSearch Retrieval Tool:\n Use this to search the indexed knowledge base. Use when the user asks about product details, internal concepts, processes, architecture, documentation, roadmaps, or anything that may be stored in the index.\n- Conversation History:\n Use this to maintain continuity when the user is referring to previous turns. \n Do not treat history as a factual source.\n- Conversation File Context:\n Use this when the user asks about a document they uploaded or refers directly to its contents.\n **IMPORTANT**: If you receive confirmation that a file was uploaded (e.g., \"Confirm that you received this file\"), the file content is already available in the conversation context. Do NOT attempt to ingest it as a URL.\n Simply acknowledge the file and answer questions about it directly from the context.\n- URL Ingestion Tool:\n Use this **only** when the user explicitly asks you to read, summarize, or analyze the content of a web URL (http:// or https://).\n **Do NOT use this tool for filenames** (e.g., README.md, document.pdf, data.txt). These are file uploads, not URLs.\n Only use this tool for actual web addresses that the user explicitly provides.\n If unclear → ask a clarifying question.\n- Calculator / Expression Evaluation Tool:\n Use this when the user asks to compare numbers, compute estimates, calculate totals, analyze pricing, or answer any question requiring mathematics or quantitative reasoning.\n If the answer requires arithmetic, call the calculator tool rather than calculating internally.\n### Retrieval Decision Rules\nUse OpenSearch **whenever**:\n1. The question may be answered from internal or indexed data.\n2. The user references team names, product names, release plans, configurations, requirements, or official information.\n3. The user needs a factual, grounded answer.\nDo **not** use retrieval if:\n- The question is purely creative (e.g., storytelling, analogies) or personal preference.\n- The user simply wants text reformatted or rewritten from what is already present in the conversation.\nWhen uncertain → **Retrieve.** Retrieval is low risk and improves grounding.\n### File Upload vs URL Distinction\n**File uploads** (already in context):\n- Filenames like: README.md, document.pdf, notes.txt, data.csv\n- When you see file confirmation messages\n- Use conversation context directly - do NOT call URL tool\n**Web URLs** (need ingestion):\n- Start with http:// or https://\n- Examples: https://example.com, http://docs.site.org\n- User explicitly asks to fetch from web\n### Calculator Usage Rules\nUse the calculator when:\n- Performing arithmetic\n- Estimating totals\n- Comparing values\n- Modeling cost, time, effort, scale, or projections\nDo not perform math internally. **Call the calculator tool instead.**\n### Answer Construction Rules\n1. When asked: \"What is OpenRAG\", answer the following:\n\"OpenRAG is an open-source package for building agentic RAG systems. It supports integration with a wide range of orchestration tools, vector databases, and LLM providers. OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:\n**Langflow** – Langflow is a powerful tool to build and deploy AI agents and MCP servers. [Read more](https://www.langflow.org/)\n**OpenSearch** – OpenSearch is an open source, search and observability suite that brings order to unstructured data at scale. [Read more](https://opensearch.org/)\n**Docling** – Docling simplifies document processing with advanced PDF understanding, OCR support, and seamless AI integrations. Parse PDFs, DOCX, PPTX, images & more. [Read more](https://www.docling.ai/)\"\n2. Synthesize retrieved or ingested content in your own words.\n3. Support factual claims with citations in the format:\n (Source: )\n4. If no supporting evidence is found:\n Say: \"No relevant supporting sources were found for that request.\"\n5. Never invent facts or hallucinate details.\n6. Be concise, direct, and confident. \n7. Do not reveal internal chain-of-thought.", } ], "previous_response_id": previous_response_id, # Parent response_id for branching From 2c4a67bcbbc25d35132698a2ef9f6279c0a59bcc Mon Sep 17 00:00:00 2001 From: Mike Fortman Date: Tue, 9 Dec 2025 14:37:13 -0600 Subject: [PATCH 2/7] setup secret detection --- .pre-commit-config.yaml | 7 + .secrets.baseline | 198 +++++++++++++++++++++++++ src/connectors/onedrive/connector.py | 2 +- src/connectors/sharepoint/connector.py | 2 +- src/tui/managers/env_manager.py | 21 +-- 5 files changed, 218 insertions(+), 12 deletions(-) create mode 100644 .pre-commit-config.yaml create mode 100644 .secrets.baseline diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 00000000..b6c7a6fc --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,7 @@ +repos: + - repo: https://github.com/Yelp/detect-secrets + rev: v1.5.0 + hooks: + - id: detect-secrets + args: ["--baseline", ".secrets.baseline", "--exclude-lines", "code_hash"] + diff --git a/.secrets.baseline b/.secrets.baseline new file mode 100644 index 00000000..d5de1c8c --- /dev/null +++ b/.secrets.baseline @@ -0,0 +1,198 @@ +{ + "version": "1.5.0", + "plugins_used": [ + { + "name": "ArtifactoryDetector" + }, + { + "name": "AWSKeyDetector" + }, + { + "name": "AzureStorageKeyDetector" + }, + { + "name": "Base64HighEntropyString", + "limit": 4.5 + }, + { + "name": "BasicAuthDetector" + }, + { + "name": "CloudantDetector" + }, + { + "name": "DiscordBotTokenDetector" + }, + { + "name": "GitHubTokenDetector" + }, + { + "name": "GitLabTokenDetector" + }, + { + "name": "HexHighEntropyString", + "limit": 3.0 + }, + { + "name": "IbmCloudIamDetector" + }, + { + "name": "IbmCosHmacDetector" + }, + { + "name": "IPPublicDetector" + }, + { + "name": "JwtTokenDetector" + }, + { + "name": "KeywordDetector", + "keyword_exclude": "" + }, + { + "name": "MailchimpDetector" + }, + { + "name": "NpmDetector" + }, + { + "name": "OpenAIDetector" + }, + { + "name": "PrivateKeyDetector" + }, + { + "name": "PypiTokenDetector" + }, + { + "name": "SendGridDetector" + }, + { + "name": "SlackDetector" + }, + { + "name": "SoftlayerDetector" + }, + { + "name": "SquareOAuthDetector" + }, + { + "name": "StripeDetector" + }, + { + "name": "TelegramBotTokenDetector" + }, + { + "name": "TwilioKeyDetector" + } + ], + "filters_used": [ + { + "path": "detect_secrets.filters.allowlist.is_line_allowlisted" + }, + { + "path": "detect_secrets.filters.common.is_baseline_file", + "filename": ".secrets.baseline" + }, + { + "path": "detect_secrets.filters.common.is_ignored_due_to_verification_policies", + "min_level": 2 + }, + { + "path": "detect_secrets.filters.heuristic.is_indirect_reference" + }, + { + "path": "detect_secrets.filters.heuristic.is_likely_id_string" + }, + { + "path": "detect_secrets.filters.heuristic.is_lock_file" + }, + { + "path": "detect_secrets.filters.heuristic.is_not_alphanumeric_string" + }, + { + "path": "detect_secrets.filters.heuristic.is_potential_uuid" + }, + { + "path": "detect_secrets.filters.heuristic.is_prefixed_with_dollar_sign" + }, + { + "path": "detect_secrets.filters.heuristic.is_sequential_string" + }, + { + "path": "detect_secrets.filters.heuristic.is_swagger_file" + }, + { + "path": "detect_secrets.filters.heuristic.is_templated_secret" + }, + { + "path": "detect_secrets.filters.regex.should_exclude_file", + "pattern": [ + "flows/.*\\.json$" + ] + }, + { + "path": "detect_secrets.filters.regex.should_exclude_line", + "pattern": [ + "code_hash" + ] + } + ], + "results": { + "docs/docs/_partial-integrate-chat.mdx": [ + { + "type": "Secret Keyword", + "filename": "docs/docs/_partial-integrate-chat.mdx", + "hashed_secret": "e42fd8b9ad15d8fa5f4718cad7cf19b522807996", + "is_verified": false, + "line_number": 30 + } + ], + "src/connectors/onedrive/connector.py": [ + { + "type": "Secret Keyword", + "filename": "src/connectors/onedrive/connector.py", + "hashed_secret": "bf45445eaa4f57092a404fa8c7338d59d8c0ecef", + "is_verified": false, + "line_number": 18 + } + ], + "src/connectors/sharepoint/connector.py": [ + { + "type": "Secret Keyword", + "filename": "src/connectors/sharepoint/connector.py", + "hashed_secret": "bf45445eaa4f57092a404fa8c7338d59d8c0ecef", + "is_verified": false, + "line_number": 19 + } + ], + "src/main.py": [ + { + "type": "Base64 High Entropy String", + "filename": "src/main.py", + "hashed_secret": "131a83e9ef8660d7dd0771da7ce5954d9ea801ee", + "is_verified": false, + "line_number": 404 + } + ], + "src/models/processors.py": [ + { + "type": "Base64 High Entropy String", + "filename": "src/models/processors.py", + "hashed_secret": "131a83e9ef8660d7dd0771da7ce5954d9ea801ee", + "is_verified": false, + "line_number": 763 + } + ], + "src/services/langflow_file_service.py": [ + { + "type": "Base64 High Entropy String", + "filename": "src/services/langflow_file_service.py", + "hashed_secret": "131a83e9ef8660d7dd0771da7ce5954d9ea801ee", + "is_verified": false, + "line_number": 97 + } + ] + }, + "generated_at": "2025-12-09T20:24:08Z" +} diff --git a/src/connectors/onedrive/connector.py b/src/connectors/onedrive/connector.py index a88321d3..796e4310 100644 --- a/src/connectors/onedrive/connector.py +++ b/src/connectors/onedrive/connector.py @@ -15,7 +15,7 @@ class OneDriveConnector(BaseConnector): # Required BaseConnector class attributes CLIENT_ID_ENV_VAR = "MICROSOFT_GRAPH_OAUTH_CLIENT_ID" - CLIENT_SECRET_ENV_VAR = "MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET" + CLIENT_SECRET_ENV_VAR = "MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET" # pragma: allowlist secret # Connector metadata CONNECTOR_NAME = "OneDrive" diff --git a/src/connectors/sharepoint/connector.py b/src/connectors/sharepoint/connector.py index f84d3575..df6dc102 100644 --- a/src/connectors/sharepoint/connector.py +++ b/src/connectors/sharepoint/connector.py @@ -16,7 +16,7 @@ class SharePointConnector(BaseConnector): # Required BaseConnector class attributes CLIENT_ID_ENV_VAR = "MICROSOFT_GRAPH_OAUTH_CLIENT_ID" - CLIENT_SECRET_ENV_VAR = "MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET" + CLIENT_SECRET_ENV_VAR = "MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET" # pragma: allowlist secret # Connector metadata CONNECTOR_NAME = "SharePoint" diff --git a/src/tui/managers/env_manager.py b/src/tui/managers/env_manager.py index a3d3ea6f..51e2a11f 100644 --- a/src/tui/managers/env_manager.py +++ b/src/tui/managers/env_manager.py @@ -123,28 +123,29 @@ class EnvManager: import os # Map env vars to config attributes - attr_map = { - "OPENAI_API_KEY": "openai_api_key", - "ANTHROPIC_API_KEY": "anthropic_api_key", + # These are environment variable names, not actual secrets + attr_map = { # pragma: allowlist secret + "OPENAI_API_KEY": "openai_api_key", # pragma: allowlist secret + "ANTHROPIC_API_KEY": "anthropic_api_key", # pragma: allowlist secret "OLLAMA_ENDPOINT": "ollama_endpoint", - "WATSONX_API_KEY": "watsonx_api_key", + "WATSONX_API_KEY": "watsonx_api_key", # pragma: allowlist secret "WATSONX_ENDPOINT": "watsonx_endpoint", "WATSONX_PROJECT_ID": "watsonx_project_id", - "OPENSEARCH_PASSWORD": "opensearch_password", - "LANGFLOW_SECRET_KEY": "langflow_secret_key", + "OPENSEARCH_PASSWORD": "opensearch_password", # pragma: allowlist secret + "LANGFLOW_SECRET_KEY": "langflow_secret_key", # pragma: allowlist secret "LANGFLOW_SUPERUSER": "langflow_superuser", - "LANGFLOW_SUPERUSER_PASSWORD": "langflow_superuser_password", + "LANGFLOW_SUPERUSER_PASSWORD": "langflow_superuser_password", # pragma: allowlist secret "LANGFLOW_CHAT_FLOW_ID": "langflow_chat_flow_id", "LANGFLOW_INGEST_FLOW_ID": "langflow_ingest_flow_id", "LANGFLOW_URL_INGEST_FLOW_ID": "langflow_url_ingest_flow_id", "NUDGES_FLOW_ID": "nudges_flow_id", "GOOGLE_OAUTH_CLIENT_ID": "google_oauth_client_id", - "GOOGLE_OAUTH_CLIENT_SECRET": "google_oauth_client_secret", + "GOOGLE_OAUTH_CLIENT_SECRET": "google_oauth_client_secret", # pragma: allowlist secret "MICROSOFT_GRAPH_OAUTH_CLIENT_ID": "microsoft_graph_oauth_client_id", - "MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET": "microsoft_graph_oauth_client_secret", + "MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET": "microsoft_graph_oauth_client_secret", # pragma: allowlist secret "WEBHOOK_BASE_URL": "webhook_base_url", "AWS_ACCESS_KEY_ID": "aws_access_key_id", - "AWS_SECRET_ACCESS_KEY": "aws_secret_access_key", + "AWS_SECRET_ACCESS_KEY": "aws_secret_access_key", # pragma: allowlist secret "LANGFLOW_PUBLIC_URL": "langflow_public_url", "OPENRAG_DOCUMENTS_PATHS": "openrag_documents_paths", "OPENSEARCH_DATA_PATH": "opensearch_data_path", From 2dddbbdbee6fc7f47ffaead1943a795ba03571fa Mon Sep 17 00:00:00 2001 From: Mike Fortman Date: Tue, 9 Dec 2025 14:40:47 -0600 Subject: [PATCH 3/7] baseline --- .secrets.baseline | 20 +------------------- 1 file changed, 1 insertion(+), 19 deletions(-) diff --git a/.secrets.baseline b/.secrets.baseline index d5de1c8c..28837d45 100644 --- a/.secrets.baseline +++ b/.secrets.baseline @@ -148,24 +148,6 @@ "line_number": 30 } ], - "src/connectors/onedrive/connector.py": [ - { - "type": "Secret Keyword", - "filename": "src/connectors/onedrive/connector.py", - "hashed_secret": "bf45445eaa4f57092a404fa8c7338d59d8c0ecef", - "is_verified": false, - "line_number": 18 - } - ], - "src/connectors/sharepoint/connector.py": [ - { - "type": "Secret Keyword", - "filename": "src/connectors/sharepoint/connector.py", - "hashed_secret": "bf45445eaa4f57092a404fa8c7338d59d8c0ecef", - "is_verified": false, - "line_number": 19 - } - ], "src/main.py": [ { "type": "Base64 High Entropy String", @@ -194,5 +176,5 @@ } ] }, - "generated_at": "2025-12-09T20:24:08Z" + "generated_at": "2025-12-09T20:33:13Z" } From e454b64f84367ef1c02df788402288c8eac1f8a7 Mon Sep 17 00:00:00 2001 From: Mike Fortman Date: Tue, 9 Dec 2025 15:10:21 -0600 Subject: [PATCH 4/7] setup dependabot --- .github/dependabot.yml | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 .github/dependabot.yml diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 00000000..3b871ae9 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,11 @@ +version: 2 + +updates: + - package-ecosystem: "github-actions" + directory: "/" + schedule: + interval: "monthly" + commit-message: + prefix: "build(deps):" + include: scope + From 2d0a20dc68cc8d09c6b1c25c64078d1e06183fc4 Mon Sep 17 00:00:00 2001 From: Mike Fortman Date: Tue, 9 Dec 2025 16:39:35 -0600 Subject: [PATCH 5/7] make flow names consistent --- flows/openrag_agent.json | 2 +- flows/openrag_nudges.json | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/flows/openrag_agent.json b/flows/openrag_agent.json index d9475aac..bb1adc71 100644 --- a/flows/openrag_agent.json +++ b/flows/openrag_agent.json @@ -4787,7 +4787,7 @@ "is_component": false, "locked": true, "last_tested_version": "1.7.0.dev21", - "name": "OpenRAG OpenSearch Agent", + "name": "OpenRAG OpenSearch Agent Flow", "tags": [ "assistants", "agents" diff --git a/flows/openrag_nudges.json b/flows/openrag_nudges.json index d9d79e60..475833f9 100644 --- a/flows/openrag_nudges.json +++ b/flows/openrag_nudges.json @@ -4114,7 +4114,7 @@ "is_component": false, "locked": true, "last_tested_version": "1.7.0.dev21", - "name": "OpenRAG OpenSearch Nudges", + "name": "OpenRAG OpenSearch Nudges Flow", "tags": [ "assistants", "agents" From a8d2e16bf48ab510b8793bcc789329dd34b93ad9 Mon Sep 17 00:00:00 2001 From: Mike Fortman Date: Wed, 10 Dec 2025 13:43:11 -0600 Subject: [PATCH 6/7] knip cleanup for ui --- frontend/components/discord-link.tsx | 47 - frontend/components/file-upload-area.tsx | 103 - frontend/components/github-star-button.tsx | 47 - .../components/knowledge-filter-dropdown.tsx | 458 -- frontend/components/login-required.tsx | 48 - frontend/components/mode-toggle.tsx | 23 - frontend/components/navigation-layout.tsx | 81 - frontend/components/ui/checkbox.tsx | 30 - frontend/components/ui/dot-pattern.tsx | 158 - .../components/ui/inputs/embedding-model.tsx | 67 - frontend/components/ui/navigation-menu.tsx | 128 - frontend/components/ui/radio-group.tsx | 44 - frontend/components/ui/separator.tsx | 31 - frontend/hooks/use-discord-members.ts | 56 - frontend/hooks/use-github-stars.ts | 52 - frontend/knip.config.ts | 18 + frontend/lib/format-count.ts | 13 - frontend/package-lock.json | 4388 ++--------------- frontend/package.json | 13 +- 19 files changed, 482 insertions(+), 5323 deletions(-) delete mode 100644 frontend/components/discord-link.tsx delete mode 100644 frontend/components/file-upload-area.tsx delete mode 100644 frontend/components/github-star-button.tsx delete mode 100644 frontend/components/knowledge-filter-dropdown.tsx delete mode 100644 frontend/components/login-required.tsx delete mode 100644 frontend/components/mode-toggle.tsx delete mode 100644 frontend/components/navigation-layout.tsx delete mode 100644 frontend/components/ui/checkbox.tsx delete mode 100644 frontend/components/ui/dot-pattern.tsx delete mode 100644 frontend/components/ui/inputs/embedding-model.tsx delete mode 100644 frontend/components/ui/navigation-menu.tsx delete mode 100644 frontend/components/ui/radio-group.tsx delete mode 100644 frontend/components/ui/separator.tsx delete mode 100644 frontend/hooks/use-discord-members.ts delete mode 100644 frontend/hooks/use-github-stars.ts create mode 100644 frontend/knip.config.ts delete mode 100644 frontend/lib/format-count.ts diff --git a/frontend/components/discord-link.tsx b/frontend/components/discord-link.tsx deleted file mode 100644 index 584daa26..00000000 --- a/frontend/components/discord-link.tsx +++ /dev/null @@ -1,47 +0,0 @@ -"use client"; - -import * as React from "react"; -import { cn } from "@/lib/utils"; -import { useDiscordMembers } from "@/hooks/use-discord-members"; -import { formatCount } from "@/lib/format-count"; - -interface DiscordLinkProps { - inviteCode?: string; - className?: string; -} - -const DiscordLink = React.forwardRef( - ({ inviteCode = "EqksyE2EX9", className }, ref) => { - const { data, isLoading, error } = useDiscordMembers(inviteCode); - - return ( - - - - - - {isLoading - ? "..." - : error - ? "--" - : data - ? formatCount(data.approximate_member_count) - : "--"} - - - ); - }, -); - -DiscordLink.displayName = "DiscordLink"; - -export { DiscordLink }; diff --git a/frontend/components/file-upload-area.tsx b/frontend/components/file-upload-area.tsx deleted file mode 100644 index 84f0806a..00000000 --- a/frontend/components/file-upload-area.tsx +++ /dev/null @@ -1,103 +0,0 @@ -"use client"; - -import * as React from "react"; -import { cn } from "@/lib/utils"; -import { Button } from "@/components/ui/button"; -import { Loader2 } from "lucide-react"; - -interface FileUploadAreaProps { - onFileSelected?: (file: File) => void; - isLoading?: boolean; - className?: string; -} - -const FileUploadArea = React.forwardRef( - ({ onFileSelected, isLoading = false, className }, ref) => { - const [isDragging, setIsDragging] = React.useState(false); - const fileInputRef = React.useRef(null); - - const handleDragOver = (e: React.DragEvent) => { - e.preventDefault(); - setIsDragging(true); - }; - - const handleDragLeave = (e: React.DragEvent) => { - e.preventDefault(); - setIsDragging(false); - }; - - const handleDrop = (e: React.DragEvent) => { - e.preventDefault(); - setIsDragging(false); - - const files = Array.from(e.dataTransfer.files); - if (files.length > 0 && onFileSelected) { - onFileSelected(files[0]); - } - }; - - const handleFileSelect = (e: React.ChangeEvent) => { - const files = Array.from(e.target.files || []); - if (files.length > 0 && onFileSelected) { - onFileSelected(files[0]); - } - }; - - const handleClick = () => { - if (!isLoading) { - fileInputRef.current?.click(); - } - }; - - return ( -
- - -
- {isLoading && ( -
- -
- )} - -
-

- {isLoading - ? "Processing file..." - : "Drop files here or click to upload"} -

-

- {isLoading - ? "Please wait while your file is being processed" - : ""} -

-
- - {!isLoading && } -
-
- ); - }, -); - -FileUploadArea.displayName = "FileUploadArea"; - -export { FileUploadArea }; diff --git a/frontend/components/github-star-button.tsx b/frontend/components/github-star-button.tsx deleted file mode 100644 index 81e4ca98..00000000 --- a/frontend/components/github-star-button.tsx +++ /dev/null @@ -1,47 +0,0 @@ -"use client"; - -import * as React from "react"; -import { cn } from "@/lib/utils"; -import { Github } from "lucide-react"; -import { useGitHubStars } from "@/hooks/use-github-stars"; -import { formatCount } from "@/lib/format-count"; - -interface GitHubStarButtonProps { - repo?: string; - className?: string; -} - -const GitHubStarButton = React.forwardRef< - HTMLAnchorElement, - GitHubStarButtonProps ->(({ repo = "phact/openrag", className }, ref) => { - const { data, isLoading, error } = useGitHubStars(repo); - - return ( - - - - {isLoading - ? "..." - : error - ? "--" - : data - ? formatCount(data.stargazers_count) - : "--"} - - - ); -}); - -GitHubStarButton.displayName = "GitHubStarButton"; - -export { GitHubStarButton }; diff --git a/frontend/components/knowledge-filter-dropdown.tsx b/frontend/components/knowledge-filter-dropdown.tsx deleted file mode 100644 index cb2106d9..00000000 --- a/frontend/components/knowledge-filter-dropdown.tsx +++ /dev/null @@ -1,458 +0,0 @@ -"use client"; - -import { useState, useEffect, useRef } from "react"; -import { Button } from "@/components/ui/button"; -import { Input } from "@/components/ui/input"; -import { Card, CardContent } from "@/components/ui/card"; - -import { Label } from "@/components/ui/label"; -import { Textarea } from "@/components/ui/textarea"; -import { - ChevronDown, - Filter, - Search, - X, - Loader2, - Plus, - Save, -} from "lucide-react"; -import { cn } from "@/lib/utils"; - -interface KnowledgeFilter { - id: string; - name: string; - description: string; - query_data: string; - owner: string; - created_at: string; - updated_at: string; -} - -interface ParsedQueryData { - query: string; - filters: { - data_sources: string[]; - document_types: string[]; - owners: string[]; - }; - limit: number; - scoreThreshold: number; -} - -interface KnowledgeFilterDropdownProps { - selectedFilter: KnowledgeFilter | null; - onFilterSelect: (filter: KnowledgeFilter | null) => void; -} - -export function KnowledgeFilterDropdown({ - selectedFilter, - onFilterSelect, -}: KnowledgeFilterDropdownProps) { - const [isOpen, setIsOpen] = useState(false); - const [filters, setFilters] = useState([]); - const [loading, setLoading] = useState(false); - const [searchQuery, setSearchQuery] = useState(""); - const [showCreateModal, setShowCreateModal] = useState(false); - const [createName, setCreateName] = useState(""); - const [createDescription, setCreateDescription] = useState(""); - const [creating, setCreating] = useState(false); - const dropdownRef = useRef(null); - - const loadFilters = async (query = "") => { - setLoading(true); - try { - const response = await fetch("/api/knowledge-filter/search", { - method: "POST", - headers: { - "Content-Type": "application/json", - }, - body: JSON.stringify({ - query, - limit: 20, // Limit for dropdown - }), - }); - - const result = await response.json(); - if (response.ok && result.success) { - setFilters(result.filters); - } else { - console.error("Failed to load knowledge filters:", result.error); - setFilters([]); - } - } catch (error) { - console.error("Error loading knowledge filters:", error); - setFilters([]); - } finally { - setLoading(false); - } - }; - - const deleteFilter = async (filterId: string, e: React.MouseEvent) => { - e.stopPropagation(); - - try { - const response = await fetch(`/api/knowledge-filter/${filterId}`, { - method: "DELETE", - }); - - if (response.ok) { - // Remove from local state - setFilters((prev) => prev.filter((f) => f.id !== filterId)); - - // If this was the selected filter, clear selection - if (selectedFilter?.id === filterId) { - onFilterSelect(null); - } - } else { - console.error("Failed to delete knowledge filter"); - } - } catch (error) { - console.error("Error deleting knowledge filter:", error); - } - }; - - const handleFilterSelect = (filter: KnowledgeFilter) => { - onFilterSelect(filter); - setIsOpen(false); - }; - - const handleClearFilter = () => { - onFilterSelect(null); - setIsOpen(false); - }; - - const handleCreateNew = () => { - setIsOpen(false); - setShowCreateModal(true); - }; - - const handleCreateFilter = async () => { - if (!createName.trim()) return; - - setCreating(true); - try { - // Create a basic filter with wildcards (match everything by default) - const defaultFilterData = { - query: "", - filters: { - data_sources: ["*"], - document_types: ["*"], - owners: ["*"], - }, - limit: 10, - scoreThreshold: 0, - }; - - const response = await fetch("/api/knowledge-filter", { - method: "POST", - headers: { - "Content-Type": "application/json", - }, - body: JSON.stringify({ - name: createName.trim(), - description: createDescription.trim(), - queryData: JSON.stringify(defaultFilterData), - }), - }); - - const result = await response.json(); - if (response.ok && result.success) { - // Create the new filter object - const newFilter: KnowledgeFilter = { - id: result.filter.id, - name: createName.trim(), - description: createDescription.trim(), - query_data: JSON.stringify(defaultFilterData), - owner: result.filter.owner, - created_at: result.filter.created_at, - updated_at: result.filter.updated_at, - }; - - // Add to local filters list - setFilters((prev) => [newFilter, ...prev]); - - // Select the new filter - onFilterSelect(newFilter); - - // Close modal and reset form - setShowCreateModal(false); - setCreateName(""); - setCreateDescription(""); - } else { - console.error("Failed to create knowledge filter:", result.error); - } - } catch (error) { - console.error("Error creating knowledge filter:", error); - } finally { - setCreating(false); - } - }; - - const handleCancelCreate = () => { - setShowCreateModal(false); - setCreateName(""); - setCreateDescription(""); - }; - - const getFilterSummary = (filter: KnowledgeFilter): string => { - try { - const parsed = JSON.parse(filter.query_data) as ParsedQueryData; - const parts = []; - - if (parsed.query) parts.push(`"${parsed.query}"`); - if (parsed.filters.data_sources.length > 0) - parts.push(`${parsed.filters.data_sources.length} sources`); - if (parsed.filters.document_types.length > 0) - parts.push(`${parsed.filters.document_types.length} types`); - if (parsed.filters.owners.length > 0) - parts.push(`${parsed.filters.owners.length} owners`); - - return parts.join(" • ") || "No filters"; - } catch { - return "Invalid filter"; - } - }; - - useEffect(() => { - if (isOpen) { - loadFilters(); - } - }, [isOpen]); - - useEffect(() => { - const timeoutId = setTimeout(() => { - if (isOpen) { - loadFilters(searchQuery); - } - }, 300); - - return () => clearTimeout(timeoutId); - }, [searchQuery, isOpen]); - - // Close dropdown when clicking outside - useEffect(() => { - const handleClickOutside = (event: MouseEvent) => { - if ( - dropdownRef.current && - !dropdownRef.current.contains(event.target as Node) - ) { - setIsOpen(false); - } - }; - - document.addEventListener("mousedown", handleClickOutside); - return () => document.removeEventListener("mousedown", handleClickOutside); - }, []); - - return ( -
- - - {isOpen && ( - - - {/* Search Header */} -
-
- - setSearchQuery(e.target.value)} - className="pl-9 h-8 text-sm" - /> -
-
- - {/* Filter List */} -
- {/* Clear filter option */} -
-
- -
-
All Knowledge
-
- No filters applied -
-
-
-
- - {loading ? ( -
- - - Loading... - -
- ) : filters.length === 0 ? ( -
- {searchQuery ? "No filters found" : "No saved filters"} -
- ) : ( - filters.map((filter) => ( -
handleFilterSelect(filter)} - className={cn( - "flex items-center gap-3 p-3 hover:bg-accent hover:text-accent-foreground cursor-pointer group transition-colors", - selectedFilter?.id === filter.id && - "bg-accent text-accent-foreground", - )} - > -
- -
-
- {filter.name} -
-
- {getFilterSummary(filter)} -
-
-
- -
- )) - )} -
- - {/* Create New Filter Option */} -
-
- -
-
- Create New Filter -
-
- Save current search as filter -
-
-
-
- - {/* Selected Filter Details */} - {selectedFilter && ( -
-
- Selected: {selectedFilter.name} -
- {selectedFilter.description && ( -
- {selectedFilter.description} -
- )} -
- )} - - - )} - - {/* Create Filter Modal */} - {showCreateModal && ( -
-
-

- Create New Knowledge Filter -

- -
-
- - setCreateName(e.target.value)} - className="mt-1" - /> -
- -
- -