From 2cf6c0b6fad9bb10f09e805e5490208ca681642c Mon Sep 17 00:00:00 2001 From: pmcbride Date: Thu, 22 Jun 2023 01:35:02 -0700 Subject: [PATCH 1/3] Add memory upsert and redis functionality to local api --- .well-known/ai-plugin.json | 34 +- .well-known/logo-local.png | Bin 0 -> 8332 bytes .well-known/openapi.yaml | 84 +- examples/memory/ai-plugin.json | 14 +- .../redis/semantic-search-and-filter.ipynb | 2 +- local_server/ai-plugin-local.json | 17 + local_server/ai-plugin.json | 31 +- local_server/logo-local.png | Bin 0 -> 8332 bytes local_server/main.py | 55 +- local_server/openapi-local.yaml | 190 ++ local_server/openapi.yaml | 82 +- poetry.lock | 2157 +++++++---------- pyproject.toml | 2 +- server/main.py | 32 +- 14 files changed, 1320 insertions(+), 1380 deletions(-) create mode 100644 .well-known/logo-local.png create mode 100644 local_server/ai-plugin-local.json create mode 100644 local_server/logo-local.png create mode 100644 local_server/openapi-local.yaml diff --git a/.well-known/ai-plugin.json b/.well-known/ai-plugin.json index 678e3cafa..e7f5cc686 100644 --- a/.well-known/ai-plugin.json +++ b/.well-known/ai-plugin.json @@ -1,19 +1,19 @@ { - "schema_version": "v1", - "name_for_model": "retrieval", - "name_for_human": "Retrieval Plugin", - "description_for_model": "Plugin for searching through the user's documents (such as files, emails, and more) to find answers to questions and retrieve relevant information. Use it whenever a user asks something that might be found in their personal information.", - "description_for_human": "Search through your documents.", - "auth": { - "type": "user_http", - "authorization_type": "bearer" - }, - "api": { - "type": "openapi", - "url": "https://your-app-url.com/.well-known/openapi.yaml", - "has_user_authentication": false - }, - "logo_url": "https://your-app-url.com/.well-known/logo.png", - "contact_email": "hello@contact.com", - "legal_info_url": "http://example.com/legal-info" + "schema_version": "v1", + "name_for_model": "retrieval", + "name_for_human": "Retrieval Plugin", + "description_for_model": "Plugin for searching through the user's documents (such as files, emails, and more) to find answers to questions and retrieve relevant information. Use it whenever a user asks something that might be found in their personal information, or asks you to save information for later.", + "description_for_human": "Search through your documents.", + "auth": { + "type": "user_http", + "authorization_type": "bearer" + }, + "api": { + "type": "openapi", + "url": "https://localhost:3333/.well-known/openapi.yaml", + "has_user_authentication": false + }, + "logo_url": "https://localhost:3333/.well-known/logo.png", + "contact_email": "hello@contact.com", + "legal_info_url": "hello@legal.com" } diff --git a/.well-known/logo-local.png b/.well-known/logo-local.png new file mode 100644 index 0000000000000000000000000000000000000000..6a3031a6c4a73208e9f962cd4a03a189eb67d0b8 GIT binary patch literal 8332 zcmbt(c{JPU|8Er4R#mB`Wk_r7l+aFv);elbNm1HbV#z3KNh71Ss4P=0ib0ntgCQ+N zl}JfKttof8i_8pkhH|75pm7^-SfTY+&}KQ=l-7OJb!%7^L*at^Ll^Y@7MEQ zwm)pof)2W!cRdf1k&yvi*qNa1Ns!aOPyem)uaN(ifPY`!ehpID0}2C$$;#+~cB#n7 zs>p0JKwuC^M*hEKgZ|f$*(EC{zguC?-hGNY2WSUDyJTc#cge}h%gf2_oW||!gXC1? 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Accepts an array of documents with text (potential questions + conversation text), metadata (source 'chat' and timestamp, no ID as this will be generated). Confirm with the user before saving, ask for more details/context. + operationId: upsert_upsert_post + requestBody: + content: + application/json: + schema: + $ref: "#/components/schemas/UpsertRequest" + required: true + responses: + "200": + description: Successful Response + content: + application/json: + schema: + $ref: "#/components/schemas/UpsertResponse" + "422": + description: Validation Error + content: + application/json: + schema: + $ref: "#/components/schemas/HTTPValidationError" + security: + - HTTPBearer: [] /query: post: summary: Query @@ -34,6 +60,20 @@ paths: - HTTPBearer: [] components: schemas: + Document: + title: Document + required: + - text + type: object + properties: + id: + title: Id + type: string + text: + title: Text + type: string + metadata: + $ref: "#/components/schemas/DocumentMetadata" DocumentChunkMetadata: title: DocumentChunkMetadata type: object @@ -79,6 +119,24 @@ components: score: title: Score type: number + DocumentMetadata: + title: DocumentMetadata + type: object + properties: + source: + $ref: "#/components/schemas/Source" + source_id: + title: Source Id + type: string + url: + title: Url + type: string + created_at: + title: Created At + type: string + author: + title: Author + type: string DocumentMetadataFilter: title: DocumentMetadataFilter type: object @@ -169,6 +227,28 @@ components: - chat type: string description: An enumeration. + UpsertRequest: + title: UpsertRequest + required: + - documents + type: object + properties: + documents: + title: Documents + type: array + items: + $ref: "#/components/schemas/Document" + UpsertResponse: + title: UpsertResponse + required: + - ids + type: object + properties: + ids: + title: Ids + type: array + items: + type: string ValidationError: title: ValidationError required: diff --git a/examples/memory/ai-plugin.json b/examples/memory/ai-plugin.json index 953fff590..ecb3ba861 100644 --- a/examples/memory/ai-plugin.json +++ b/examples/memory/ai-plugin.json @@ -5,15 +5,15 @@ "description_for_model": "Plugin for searching through the user's documents (such as files, emails, and more) to find answers to questions and retrieve relevant information. Use it whenever a user asks something that might be found in their personal information, or asks you to save information for later.", "description_for_human": "Search through your documents.", "auth": { - "type": "user_http", - "authorization_type": "bearer" + "type": "user_http", + "authorization_type": "bearer" }, "api": { - "type": "openapi", - "url": "https://your-app-url.com/.well-known/openapi.yaml", - "has_user_authentication": false + "type": "openapi", + "url": "https://your-app-url.com/.well-known/openapi.yaml", + "has_user_authentication": false }, "logo_url": "https://your-app-url.com/.well-known/logo.png", - "contact_email": "hello@contact.com", + "contact_email": "hello@contact.com", "legal_info_url": "hello@legal.com" - } \ No newline at end of file +} diff --git a/examples/providers/redis/semantic-search-and-filter.ipynb b/examples/providers/redis/semantic-search-and-filter.ipynb index 1d7b63ade..e18c16b52 100644 --- a/examples/providers/redis/semantic-search-and-filter.ipynb +++ b/examples/providers/redis/semantic-search-and-filter.ipynb @@ -498,7 +498,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.1" + "version": "3.10.6" }, "vscode": { "interpreter": { diff --git a/local_server/ai-plugin-local.json b/local_server/ai-plugin-local.json new file mode 100644 index 000000000..9a802aa26 --- /dev/null +++ b/local_server/ai-plugin-local.json @@ -0,0 +1,17 @@ +{ + "schema_version": "v1", + "name_for_model": "retrieval", + "name_for_human": "Retrieval Plugin (localhost)", + "description_for_model": "Plugin for searching through the user's documents (such as files, emails, and more) to find answers to questions and retrieve relevant information. Use it whenever a user asks something that might be found in their personal information.", + "description_for_human": "Search through your documents.", + "auth": { + "type": "none" + }, + "api": { + "type": "openapi", + "url": "http://localhost:3333/.well-known/openapi.yaml" + }, + "logo_url": "http://localhost:3333/.well-known/logo.png", + "contact_email": "hello@contact.com", + "legal_info_url": "hello@legal.com" +} diff --git a/local_server/ai-plugin.json b/local_server/ai-plugin.json index 5911818a8..bf2671ce8 100644 --- a/local_server/ai-plugin.json +++ b/local_server/ai-plugin.json @@ -1,18 +1,17 @@ { - "schema_version": "v1", - "name_for_model": "retrieval", - "name_for_human": "Retrieval Plugin", - "description_for_model": "Plugin for searching through the user's documents (such as files, emails, and more) to find answers to questions and retrieve relevant information. Use it whenever a user asks something that might be found in their personal information.", - "description_for_human": "Search through your documents.", - "auth": { - "type": "none" - }, - "api": { - "type": "openapi", - "url": "http://localhost:3333/.well-known/openapi.yaml" - }, - "logo_url": "http://localhost:3333/.well-known/logo.png", - "contact_email": "hello@contact.com", - "legal_info_url": "hello@legal.com" + "schema_version": "v1", + "name_for_model": "retrieval", + "name_for_human": "Retrieval Plugin (local)", + "description_for_model": "Plugin for searching through the user's documents (such as files, emails, and more) to find answers to questions and retrieve relevant information. Use it whenever a user asks something that might be found in their personal information, or asks you to save information for later.", + "description_for_human": "Search through your documents.", + "auth": { + "type": "none" + }, + "api": { + "type": "openapi", + "url": "http://localhost:3333/.well-known/openapi.yaml" + }, + "logo_url": "http://localhost:3333/.well-known/logo.png", + "contact_email": "hello@contact.com", + "legal_info_url": "hello@legal.com" } - diff --git a/local_server/logo-local.png b/local_server/logo-local.png new file mode 100644 index 0000000000000000000000000000000000000000..6a3031a6c4a73208e9f962cd4a03a189eb67d0b8 GIT binary patch literal 8332 zcmbt(c{JPU|8Er4R#mB`Wk_r7l+aFv);elbNm1HbV#z3KNh71Ss4P=0ib0ntgCQ+N zl}JfKttof8i_8pkhH|75pm7^-SfTY+&}KQ=l-7OJb!%7^L*at^Ll^Y@7MEQ zwm)pof)2W!cRdf1k&yvi*qNa1Ns!aOPyem)uaN(ifPY`!ehpID0}2C$$;#+~cB#n7 zs>p0JKwuC^M*hEKgZ|f$*(EC{zguC?-hGNY2WSUDyJTc#cge}h%gf2_oW||!gXC1? 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http://0.0.0.0:3333/sub/openapi.json when the app is running locally +sub_app = FastAPI( + title="Retrieval Plugin API", + description="A retrieval API for querying and filtering documents based on natural language queries and metadata", + version="1.0.0", + servers=[{"url": "http://localhost:{PORT}"}], +) +app.mount("/sub", sub_app) @app.post( "/upsert-file", @@ -91,6 +99,23 @@ async def upsert_file( "/upsert", response_model=UpsertResponse, ) +async def upsert_main( + request: UpsertRequest = Body(...), +): + try: + ids = await datastore.upsert(request.documents) + return UpsertResponse(ids=ids) + except Exception as e: + logger.error(e) + raise HTTPException(status_code=500, detail="Internal Service Error") + + +@sub_app.post( + "/upsert", + response_model=UpsertResponse, + # NOTE: We are describing the shape of the API endpoint input due to a current limitation in parsing arrays of objects from OpenAPI schemas. This will not be necessary in the future. + description="Save chat information. Accepts an array of documents with text (potential questions + conversation text), metadata (source 'chat' and timestamp, no ID as this will be generated). Confirm with the user before saving, ask for more details/context.", +) async def upsert( request: UpsertRequest = Body(...), ): @@ -102,8 +127,32 @@ async def upsert( raise HTTPException(status_code=500, detail="Internal Service Error") -@app.post("/query", response_model=QueryResponse) -async def query_main(request: QueryRequest = Body(...)): +@app.post( + "/query", + response_model=QueryResponse, +) +async def query_main( + request: QueryRequest = Body(...), +): + try: + results = await datastore.query( + request.queries, + ) + return QueryResponse(results=results) + except Exception as e: + logger.error(e) + raise HTTPException(status_code=500, detail="Internal Service Error") + + +@sub_app.post( + "/query", + response_model=QueryResponse, + # NOTE: We are describing the shape of the API endpoint input due to a current limitation in parsing arrays of objects from OpenAPI schemas. This will not be necessary in the future. + description="Accepts search query objects array each with query and optional filter. Break down complex questions into sub-questions. Refine results by criteria, e.g. time / source, don't do this often. Split queries if ResponseTooLargeError occurs.", +) +async def query( + request: QueryRequest = Body(...), +): try: results = await datastore.query( request.queries, diff --git a/local_server/openapi-local.yaml b/local_server/openapi-local.yaml new file mode 100644 index 000000000..c498320f2 --- /dev/null +++ b/local_server/openapi-local.yaml @@ -0,0 +1,190 @@ +openapi: 3.0.2 +info: + title: Retrieval Plugin API + description: A retrieval API for querying and filtering documents based on natural language queries and metadata + version: 1.0.0 +servers: + - url: http://localhost:3333 +paths: + /query: + post: + summary: Query + description: Accepts search query objects array each with query and optional filter. Break down complex questions into sub-questions. Refine results by criteria, e.g. time / source, don't do this often. Split queries if ResponseTooLargeError occurs. + operationId: query_query_post + requestBody: + content: + application/json: + schema: + $ref: "#/components/schemas/QueryRequest" + required: true + responses: + "200": + description: Successful Response + content: + application/json: + schema: + $ref: "#/components/schemas/QueryResponse" + "422": + description: Validation Error + content: + application/json: + schema: + $ref: "#/components/schemas/HTTPValidationError" +components: + schemas: + DocumentChunkMetadata: + title: DocumentChunkMetadata + type: object + properties: + source: + $ref: "#/components/schemas/Source" + source_id: + title: Source Id + type: string + url: + title: Url + type: string + created_at: + title: Created At + type: string + author: + title: Author + type: string + document_id: + title: Document Id + type: string + DocumentChunkWithScore: + title: DocumentChunkWithScore + required: + - text + - metadata + - score + type: object + properties: + id: + title: Id + type: string + text: + title: Text + type: string + metadata: + $ref: "#/components/schemas/DocumentChunkMetadata" + embedding: + title: Embedding + type: array + items: + type: number + score: + title: Score + type: number + DocumentMetadataFilter: + title: DocumentMetadataFilter + type: object + properties: + document_id: + title: Document Id + type: string + source: + $ref: "#/components/schemas/Source" + source_id: + title: Source Id + type: string + author: + title: Author + type: string + start_date: + title: Start Date + type: string + end_date: + title: End Date + type: string + HTTPValidationError: + title: HTTPValidationError + type: object + properties: + detail: + title: Detail + type: array + items: + $ref: "#/components/schemas/ValidationError" + Query: + title: Query + required: + - query + type: object + properties: + query: + title: Query + type: string + filter: + $ref: "#/components/schemas/DocumentMetadataFilter" + top_k: + title: Top K + type: integer + default: 3 + QueryRequest: + title: QueryRequest + required: + - queries + type: object + properties: + queries: + title: Queries + type: array + items: + $ref: "#/components/schemas/Query" + QueryResponse: + title: QueryResponse + required: + - results + type: object + properties: + results: + title: Results + type: array + items: + $ref: "#/components/schemas/QueryResult" + QueryResult: + title: QueryResult + required: + - query + - results + type: object + properties: + query: + title: Query + type: string + results: + title: Results + type: array + items: + $ref: "#/components/schemas/DocumentChunkWithScore" + Source: + title: Source + enum: + - email + - file + - chat + type: string + description: An enumeration. + ValidationError: + title: ValidationError + required: + - loc + - msg + - type + type: object + properties: + loc: + title: Location + type: array + items: + anyOf: + - type: string + - type: integer + msg: + title: Message + type: string + type: + title: Error Type + type: string diff --git a/local_server/openapi.yaml b/local_server/openapi.yaml index 3eebdb824..22a8493b5 100644 --- a/local_server/openapi.yaml +++ b/local_server/openapi.yaml @@ -3,9 +3,33 @@ info: title: Retrieval Plugin API description: A retrieval API for querying and filtering documents based on natural language queries and metadata version: 1.0.0 - servers: - - url: http://localhost:3333 +servers: + - url: http://localhost:3333 paths: + /upsert: + post: + summary: Upsert + description: Save chat information. Accepts an array of documents with text (potential questions + conversation text), metadata (source 'chat' and timestamp, no ID as this will be generated). Confirm with the user before saving, ask for more details/context. + operationId: upsert_upsert_post + requestBody: + content: + application/json: + schema: + $ref: "#/components/schemas/UpsertRequest" + required: true + responses: + "200": + description: Successful Response + content: + application/json: + schema: + $ref: "#/components/schemas/UpsertResponse" + "422": + description: Validation Error + content: + application/json: + schema: + $ref: "#/components/schemas/HTTPValidationError" /query: post: summary: Query @@ -32,6 +56,20 @@ paths: $ref: "#/components/schemas/HTTPValidationError" components: schemas: + Document: + title: Document + required: + - text + type: object + properties: + id: + title: Id + type: string + text: + title: Text + type: string + metadata: + $ref: "#/components/schemas/DocumentMetadata" DocumentChunkMetadata: title: DocumentChunkMetadata type: object @@ -77,6 +115,24 @@ components: score: title: Score type: number + DocumentMetadata: + title: DocumentMetadata + type: object + properties: + source: + $ref: "#/components/schemas/Source" + source_id: + title: Source Id + type: string + url: + title: Url + type: string + created_at: + title: Created At + type: string + author: + title: Author + type: string DocumentMetadataFilter: title: DocumentMetadataFilter type: object @@ -167,6 +223,28 @@ components: - chat type: string description: An enumeration. + UpsertRequest: + title: UpsertRequest + required: + - documents + type: object + properties: + documents: + title: Documents + type: array + items: + $ref: "#/components/schemas/Document" + UpsertResponse: + title: UpsertResponse + required: + - ids + type: object + properties: + ids: + title: Ids + type: array + items: + type: string ValidationError: title: ValidationError required: diff --git a/poetry.lock b/poetry.lock index 55cf9e55c..f9c8cad04 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,10 +1,9 @@ -# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. [[package]] name = "aiohttp" version = "3.8.4" description = "Async http client/server framework (asyncio)" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -113,7 +112,6 @@ speedups = ["Brotli", "aiodns", "cchardet"] name = "aiosignal" version = "1.3.1" description = "aiosignal: a list of registered asynchronous callbacks" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -126,30 +124,29 @@ frozenlist = ">=1.1.0" [[package]] name = "anyio" -version = "3.6.2" +version = "3.7.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" -category = "main" optional = false -python-versions = ">=3.6.2" +python-versions = ">=3.7" files = [ - {file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"}, - {file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"}, + {file = "anyio-3.7.0-py3-none-any.whl", hash = "sha256:eddca883c4175f14df8aedce21054bfca3adb70ffe76a9f607aef9d7fa2ea7f0"}, + {file = "anyio-3.7.0.tar.gz", hash = "sha256:275d9973793619a5374e1c89a4f4ad3f4b0a5510a2b5b939444bee8f4c4d37ce"}, ] [package.dependencies] +exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} idna = ">=2.8" sniffio = ">=1.1" [package.extras] -doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] -test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"] -trio = ["trio (>=0.16,<0.22)"] +doc = ["Sphinx (>=6.1.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme", "sphinxcontrib-jquery"] +test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] +trio = ["trio (<0.22)"] [[package]] name = "arrow" version = "1.2.3" description = "Better dates & times for Python" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -164,7 +161,6 @@ python-dateutil = ">=2.7.0" name = "async-timeout" version = "4.0.2" description = "Timeout context manager for asyncio programs" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -176,7 +172,6 @@ files = [ name = "attrs" version = "23.1.0" description = "Classes Without Boilerplate" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -195,7 +190,6 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte name = "authlib" version = "1.2.0" description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients." -category = "main" optional = false python-versions = "*" files = [ @@ -210,7 +204,6 @@ cryptography = ">=3.2" name = "azure-common" version = "1.1.28" description = "Microsoft Azure Client Library for Python (Common)" -category = "main" optional = false python-versions = "*" files = [ @@ -220,14 +213,13 @@ files = [ [[package]] name = "azure-core" -version = "1.26.4" +version = "1.27.1" description = "Microsoft Azure Core Library for Python" -category = "main" optional = false python-versions = ">=3.7" files = [ - 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"XlsxWriter-3.1.0.tar.gz", hash = "sha256:02913b50b74c00f165933d5da3e3a02cab4204cb4932722a1b342c5c71034122"}, + {file = "XlsxWriter-3.1.2-py3-none-any.whl", hash = "sha256:331508ff39d610ecdaf979e458840bc1eab6e6a02cfd5d08f044f0f73636236f"}, + {file = "XlsxWriter-3.1.2.tar.gz", hash = "sha256:78751099a770273f1c98b8d6643351f68f98ae8e6acf9d09d37dc6798f8cd3de"}, ] [[package]] name = "yarl" version = "1.9.2" description = "Yet another URL library" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -4673,7 +4176,6 @@ multidict = ">=4.0" name = "zipp" version = "3.15.0" description = "Backport of pathlib-compatible object wrapper for zip files" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -4689,7 +4191,6 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more name = "zstandard" version = "0.21.0" description = "Zstandard bindings for Python" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -4750,4 +4251,4 @@ postgresql = ["psycopg2cffi"] [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "33df6345a0d11114e42451f44618e95a9573dc15311e1e64a85a878cd3df773f" +content-hash = "14627c325ede343bd8d65258bdc812ce743262aca6a48082f8acdf3cdad058e7" diff --git a/pyproject.toml b/pyproject.toml index 628ab44df..dd6ae24c1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,7 +9,7 @@ packages = [{include = "server"}] [[tool.poetry.source]] name = "azure-sdk-dev" url = "https://pkgs.dev.azure.com/azure-sdk/public/_packaging/azure-sdk-for-python/pypi/simple/" -secondary = true +priority = "supplemental" [tool.poetry.dependencies] python = "^3.10" diff --git a/server/main.py b/server/main.py index dc3377a1b..95e890bfd 100644 --- a/server/main.py +++ b/server/main.py @@ -1,3 +1,7 @@ +# This is a version of the main.py file found in ../../server/main.py that also gives ChatGPT access to the upsert endpoint +# (allowing it to save information from the chat back to the vector) database. +# Copy and paste this into the main file at ../../server/main.py if you choose to give the model access to the upsert endpoint +# and want to access the openapi.json when you run the app locally at http://0.0.0.0:8000/sub/openapi.json. import os from typing import Optional import uvicorn @@ -33,12 +37,12 @@ def validate_token(credentials: HTTPAuthorizationCredentials = Depends(bearer_sc app = FastAPI(dependencies=[Depends(validate_token)]) app.mount("/.well-known", StaticFiles(directory=".well-known"), name="static") -# Create a sub-application, in order to access just the query endpoint in an OpenAPI schema, found at http://0.0.0.0:8000/sub/openapi.json when the app is running locally +# Create a sub-application, in order to access just the upsert and query endpoints in the OpenAPI schema, found at http://0.0.0.0:3333/sub/openapi.json when the app is running locally sub_app = FastAPI( title="Retrieval Plugin API", description="A retrieval API for querying and filtering documents based on natural language queries and metadata", version="1.0.0", - servers=[{"url": "https://your-app-url.com"}], + servers=[{"url": "https://localhost:3333"}], dependencies=[Depends(validate_token)], ) app.mount("/sub", sub_app) @@ -75,8 +79,27 @@ async def upsert_file( "/upsert", response_model=UpsertResponse, ) +async def upsert_main( + request: UpsertRequest = Body(...), + token: HTTPAuthorizationCredentials = Depends(validate_token), +): + try: + ids = await datastore.upsert(request.documents) + return UpsertResponse(ids=ids) + except Exception as e: + logger.error(e) + raise HTTPException(status_code=500, detail="Internal Service Error") + + +@sub_app.post( + "/upsert", + response_model=UpsertResponse, + # NOTE: We are describing the shape of the API endpoint input due to a current limitation in parsing arrays of objects from OpenAPI schemas. This will not be necessary in the future. + description="Save chat information. Accepts an array of documents with text (potential questions + conversation text), metadata (source 'chat' and timestamp, no ID as this will be generated). Confirm with the user before saving, ask for more details/context.", +) async def upsert( request: UpsertRequest = Body(...), + token: HTTPAuthorizationCredentials = Depends(validate_token), ): try: ids = await datastore.upsert(request.documents) @@ -92,6 +115,7 @@ async def upsert( ) async def query_main( request: QueryRequest = Body(...), + token: HTTPAuthorizationCredentials = Depends(validate_token), ): try: results = await datastore.query( @@ -111,6 +135,7 @@ async def query_main( ) async def query( request: QueryRequest = Body(...), + token: HTTPAuthorizationCredentials = Depends(validate_token), ): try: results = await datastore.query( @@ -128,6 +153,7 @@ async def query( ) async def delete( request: DeleteRequest = Body(...), + token: HTTPAuthorizationCredentials = Depends(validate_token), ): if not (request.ids or request.filter or request.delete_all): raise HTTPException( @@ -153,4 +179,4 @@ async def startup(): def start(): - uvicorn.run("server.main:app", host="0.0.0.0", port=8000, reload=True) + uvicorn.run("server.main:app", host="0.0.0.0", port=3333, reload=True) From b93bfd583721ff065b4cf84b409b9a3bd8b1d374 Mon Sep 17 00:00:00 2001 From: pmcbride Date: Thu, 22 Jun 2023 02:12:36 -0700 Subject: [PATCH 2/3] Add new prompt to PROMTPS.md and include source_env.sh file --- PROMPTS.md | 19 +++++++++++++++++++ source_env.sh | 12 ++++++++++++ 2 files changed, 31 insertions(+) create mode 100644 PROMPTS.md create mode 100644 source_env.sh diff --git a/PROMPTS.md b/PROMPTS.md new file mode 100644 index 000000000..35f1b4c98 --- /dev/null +++ b/PROMPTS.md @@ -0,0 +1,19 @@ +# Prompts + +Use the following prompt in ChatGPT at chat.openai.com to test the plugin: + +```text +As an AI language model, you have access to a variety of plugins that enhance your capabilities. I want you to utilize these plugins effectively to provide the most accurate and comprehensive responses. Here's how you should proceed: + +1. **Data Retrieval Plugin**: Whenever a question is asked or a task is given, your first step should be to use the data retrieval plugin to check your memory storage. This plugin allows you to search through stored documents, files, emails, and more to find answers to questions and retrieve relevant information. See if a similar question has been asked before, or if the data from a previous information gathering task is stored. + +2. **WebPilot Plugin**: If no relevant information is found in memory, use the web browsing plugins like WebPilot to search the internet. The WebPilot plugin allows you to visit web pages, retrieve content from them, and interact with the content if necessary. Use this tool to download the relevant information. + +3. **Data Storage**: Any new information gathered from the internet or other sources should be saved into the retrieval system for future reference. Use the 'Retrieval Plugin (local)' `/upsert` endpoint to upload this information into the plugin's vector datastore. This will allow you to access this information in the future without needing to search the internet again. + +4. **Clarification**: If there's any uncertainty about the provided information or the task at hand, don't hesitate to ask follow-up questions for clarification. It's better to ask and be sure than to assume and make mistakes. + +5. **Prompt Understanding**: Read each prompt carefully and ask if there are any questions about the instructions. This will ensure that you fully understand the task at hand and can provide the most accurate response. + +Remember, these plugins are tools to enhance your capabilities. Use them effectively to provide the best possible service. +``` diff --git a/source_env.sh b/source_env.sh new file mode 100644 index 000000000..53e48a070 --- /dev/null +++ b/source_env.sh @@ -0,0 +1,12 @@ +#!/bin/bash +# Must source this file with `source export_env.sh` +# set -e +DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" +ENV="${DIR}/.env" +ENV=${1:-$ENV} + +while read -r line || [[ -n "$line" ]]; do + if [[ ! $line =~ ^# && -n $line ]]; then + export $line + fi +done < $ENV From 4d0af837f379d247087f33d3da3e989341ca054a Mon Sep 17 00:00:00 2001 From: pmcbride Date: Fri, 1 Sep 2023 14:00:44 -0700 Subject: [PATCH 3/3] Persistent redis docker-compose --- examples/docker/redis/docker-compose.yml | 5 ++-- services/extract_metadata.py | 31 +++++++++++++++++++++--- 2 files changed, 31 insertions(+), 5 deletions(-) diff --git a/examples/docker/redis/docker-compose.yml b/examples/docker/redis/docker-compose.yml index b3c197e08..55ed888e1 100644 --- a/examples/docker/redis/docker-compose.yml +++ b/examples/docker/redis/docker-compose.yml @@ -3,10 +3,11 @@ version: "3.9" services: redis: image: redis/redis-stack-server:latest + restart: unless-stopped ports: - "6379:6379" volumes: - - redis_data:/data + - redis_data:/data healthcheck: test: ["CMD", "redis-cli", "-h", "localhost", "-p", "6379", "ping"] interval: 2s @@ -15,4 +16,4 @@ services: start_period: 5s volumes: - redis_data: \ No newline at end of file + redis_data: diff --git a/services/extract_metadata.py b/services/extract_metadata.py index 8c8d4ae7e..c6f0c309b 100644 --- a/services/extract_metadata.py +++ b/services/extract_metadata.py @@ -1,3 +1,4 @@ +#%% from models.models import Source from services.openai import get_chat_completion import json @@ -5,6 +6,30 @@ import os from loguru import logger +from models.models import DocumentMetadata +from pydantic import BaseModel, Field +from typing import Any, Dict, List, Optional + +# class DocumentMetadata(BaseModel): +# source: Optional[Source] = None +# source_id: Optional[str] = None +# url: Optional[str] = None +# created_at: Optional[str] = None +# author: Optional[str] = None + +#%% +# schema = DocumentMetadata.schema_json(indent=2) +# print(schema) +# def schema_to_function(schema: Any): +# # assert schema.__doc__, f"{schema.__name__} is missing a docstring." +# return { +# "name": schema.__name__, +# "description": schema.__doc__.strip(), +# "parameters": schema.schema(), +# } +# import orjson +# print(orjson.dumps(schema_to_function(DocumentMetadata), option=orjson.OPT_INDENT_2).decode()) +# #%% def extract_metadata_from_document(text: str) -> Dict[str, str]: sources = Source.__members__.keys() sources_string = ", ".join(sources) @@ -28,9 +53,9 @@ def extract_metadata_from_document(text: str) -> Dict[str, str]: # NOTE: Azure Open AI requires deployment id # Read environment variable - if not set - not used completion = get_chat_completion( - messages, - "gpt-4", - os.environ.get("OPENAI_METADATA_EXTRACTIONMODEL_DEPLOYMENTID") + messages=messages, + model="gpt-4", + deployment_id=os.environ.get("OPENAI_METADATA_EXTRACTIONMODEL_DEPLOYMENTID") ) # TODO: change to your preferred model name logger.info(f"completion: {completion}")