Refactored and moved all keys and configuration into .env files and provided samples
This commit is contained in:
parent
4d62015470
commit
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21
.env.sample
Normal file
21
.env.sample
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@ -0,0 +1,21 @@
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# Azure Settings
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AZURE_ENDPOINT=https://iva-open-ai.openai.azure.com/
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AZURE_OPENAI_API_KEY=your-azure-openai-key
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AZURE_OPENAI_API_VERSION=2024-08-01-preview
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AZURE_DEPLOYMENT=text-embedding-3-small
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VECTOR_STORE_ADDRESS=https://iva-demo-vector-service.search.windows.net
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VECTOR_STORE_PASSWORD=your-store-password
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INDEX_NAME=iva-vector-demo
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RETRY_TOTAL=4
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# Crawler settings
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CRAWLER_LOADER=web # web or file
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CRAWLER_COMPANY_NAME=Morton
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CRAWLER_COMPANY_URL=https://blog.mortons.site/
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CRAWLER_COMPANY_FILE=data/verint-responsible-ethical-ai.pdf
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FIRECRAWL_API_KEY=your-firecrawl-api-key
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FIRECRAWL_API_URL=http://localhost:3002
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FIRECRAWL_MODE=crawl
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FIRECRAWL_PARAMS='{ "limit": 100, "include_paths": ["/.*"], "ignore_sitemap": true, "poll_interval": 5 }'
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17
.vscode/launch.json
vendored
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.vscode/launch.json
vendored
@ -4,6 +4,17 @@
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// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Launch Program",
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"program": "${workspaceFolder}/retriever/index.js",
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"request": "launch",
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"skipFiles": [
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"<node_internals>/**"
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],
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"envFile": "${workspaceFolder}/retriever/.env",
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"cwd": "${workspaceFolder}/retriever/",
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"type": "node"
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},
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{
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"name": "Python Debugger: Current File",
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"type": "debugpy",
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@ -20,14 +31,14 @@
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"justMyCode": false,
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"args": [
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"run",
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"app/streamlit_app.py",
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"rag_system/app/streamlit_app.py",
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]
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},
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{
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"name": "Python Debugger: main.py",
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"name": "Python Debugger: crawler",
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"type": "debugpy",
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"request": "launch",
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"program": "main.py",
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"program": "rag_system/crawler.py",
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"console": "integratedTerminal",
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"justMyCode": false
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}
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348
poetry.lock
generated
348
poetry.lock
generated
@ -284,13 +284,13 @@ typing-extensions = ">=4.6.0"
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[[package]]
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name = "backoff"
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version = "2.2.1"
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version = "1.11.1"
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description = "Function decoration for backoff and retry"
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optional = false
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python-versions = ">=3.7,<4.0"
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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files = [
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{file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
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{file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
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{file = "backoff-1.11.1-py2.py3-none-any.whl", hash = "sha256:61928f8fa48d52e4faa81875eecf308eccfb1016b018bb6bd21e05b5d90a96c5"},
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{file = "backoff-1.11.1.tar.gz", hash = "sha256:ccb962a2378418c667b3c979b504fdeb7d9e0d29c0579e3b13b86467177728cb"},
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]
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[[package]]
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@ -723,13 +723,13 @@ dev = ["chroma-hnswlib (==0.7.6)"]
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[[package]]
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name = "click"
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version = "8.2.1"
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version = "8.1.8"
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description = "Composable command line interface toolkit"
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optional = false
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python-versions = ">=3.10"
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python-versions = ">=3.7"
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files = [
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{file = "click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b"},
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{file = "click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202"},
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{file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
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{file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
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]
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[package.dependencies]
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@ -1144,13 +1144,13 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit",
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[[package]]
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name = "google-auth"
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version = "2.40.1"
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version = "2.40.2"
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description = "Google Authentication Library"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "google_auth-2.40.1-py2.py3-none-any.whl", hash = "sha256:ed4cae4f5c46b41bae1d19c036e06f6c371926e97b19e816fc854eff811974ee"},
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{file = "google_auth-2.40.1.tar.gz", hash = "sha256:58f0e8416a9814c1d86c9b7f6acf6816b51aba167b2c76821965271bac275540"},
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{file = "google_auth-2.40.2-py2.py3-none-any.whl", hash = "sha256:f7e568d42eedfded58734f6a60c58321896a621f7c116c411550a4b4a13da90b"},
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{file = "google_auth-2.40.2.tar.gz", hash = "sha256:a33cde547a2134273226fa4b853883559947ebe9207521f7afc707efbf690f58"},
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]
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[package.dependencies]
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@ -2501,13 +2501,13 @@ sympy = "*"
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[[package]]
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name = "openai"
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version = "1.79.0"
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version = "1.81.0"
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description = "The official Python library for the openai API"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "openai-1.79.0-py3-none-any.whl", hash = "sha256:d5050b92d5ef83f869cb8dcd0aca0b2291c3413412500eec40c66981b3966992"},
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{file = "openai-1.79.0.tar.gz", hash = "sha256:e3b627aa82858d3e42d16616edc22aa9f7477ee5eb3e6819e9f44a961d899a4c"},
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{file = "openai-1.81.0-py3-none-any.whl", hash = "sha256:1c71572e22b43876c5d7d65ade0b7b516bb527c3d44ae94111267a09125f7bae"},
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{file = "openai-1.81.0.tar.gz", hash = "sha256:349567a8607e0bcffd28e02f96b5c2397d0d25d06732d90ab3ecbf97abf030f9"},
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]
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[package.dependencies]
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@ -2540,42 +2540,27 @@ files = [
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deprecated = ">=1.2.6"
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importlib-metadata = ">=6.0,<8.7.0"
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[[package]]
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name = "opentelemetry-exporter-otlp-proto-common"
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version = "1.33.1"
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description = "OpenTelemetry Protobuf encoding"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "opentelemetry_exporter_otlp_proto_common-1.33.1-py3-none-any.whl", hash = "sha256:b81c1de1ad349785e601d02715b2d29d6818aed2c809c20219f3d1f20b038c36"},
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{file = "opentelemetry_exporter_otlp_proto_common-1.33.1.tar.gz", hash = "sha256:c57b3fa2d0595a21c4ed586f74f948d259d9949b58258f11edb398f246bec131"},
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]
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[package.dependencies]
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opentelemetry-proto = "1.33.1"
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[[package]]
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name = "opentelemetry-exporter-otlp-proto-grpc"
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version = "1.33.1"
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version = "1.11.1"
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description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
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optional = false
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python-versions = ">=3.8"
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python-versions = ">=3.6"
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files = [
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{file = "opentelemetry_exporter_otlp_proto_grpc-1.33.1-py3-none-any.whl", hash = "sha256:7e8da32c7552b756e75b4f9e9c768a61eb47dee60b6550b37af541858d669ce1"},
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{file = "opentelemetry_exporter_otlp_proto_grpc-1.33.1.tar.gz", hash = "sha256:345696af8dc19785fac268c8063f3dc3d5e274c774b308c634f39d9c21955728"},
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{file = "opentelemetry-exporter-otlp-proto-grpc-1.11.1.tar.gz", hash = "sha256:e34fc79c76e299622812da5fe37cfeffdeeea464007530488d824e6c413e6a58"},
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{file = "opentelemetry_exporter_otlp_proto_grpc-1.11.1-py3-none-any.whl", hash = "sha256:7cabcf548604ab8156644bba0e9cb0a9c50561d621be39429e32581f5c8247a6"},
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]
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[package.dependencies]
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deprecated = ">=1.2.6"
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backoff = ">=1.10.0,<2.0.0"
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googleapis-common-protos = ">=1.52,<2.0"
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grpcio = [
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{version = ">=1.63.2,<2.0.0", markers = "python_version < \"3.13\""},
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{version = ">=1.66.2,<2.0.0", markers = "python_version >= \"3.13\""},
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]
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opentelemetry-api = ">=1.15,<2.0"
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opentelemetry-exporter-otlp-proto-common = "1.33.1"
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opentelemetry-proto = "1.33.1"
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opentelemetry-sdk = ">=1.33.1,<1.34.0"
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grpcio = ">=1.0.0,<2.0.0"
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opentelemetry-api = ">=1.3,<2.0"
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opentelemetry-proto = "1.11.1"
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opentelemetry-sdk = ">=1.11,<2.0"
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[package.extras]
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test = ["pytest-grpc"]
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[[package]]
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name = "opentelemetry-instrumentation"
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@ -2638,17 +2623,17 @@ instruments = ["fastapi (>=0.58,<1.0)"]
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[[package]]
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name = "opentelemetry-proto"
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version = "1.33.1"
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version = "1.11.1"
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description = "OpenTelemetry Python Proto"
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optional = false
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python-versions = ">=3.8"
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python-versions = ">=3.6"
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files = [
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{file = "opentelemetry_proto-1.33.1-py3-none-any.whl", hash = "sha256:243d285d9f29663fc7ea91a7171fcc1ccbbfff43b48df0774fd64a37d98eda70"},
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{file = "opentelemetry_proto-1.33.1.tar.gz", hash = "sha256:9627b0a5c90753bf3920c398908307063e4458b287bb890e5c1d6fa11ad50b68"},
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{file = "opentelemetry-proto-1.11.1.tar.gz", hash = "sha256:5df0ec69510a9e2414c0410d91a698ded5a04d3dd37f7d2a3e119e3c42a30647"},
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{file = "opentelemetry_proto-1.11.1-py3-none-any.whl", hash = "sha256:4d4663123b4777823aa533f478c6cef3ecbcf696d8dc6ac7fd6a90f37a01eafd"},
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]
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[package.dependencies]
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protobuf = ">=5.0,<6.0"
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protobuf = ">=3.13.0"
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[[package]]
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name = "opentelemetry-sdk"
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@ -3136,22 +3121,20 @@ files = [
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[[package]]
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name = "protobuf"
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version = "5.29.4"
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version = "6.31.0"
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description = ""
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optional = false
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python-versions = ">=3.8"
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python-versions = ">=3.9"
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files = [
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{file = "protobuf-5.29.4-cp310-abi3-win32.whl", hash = "sha256:13eb236f8eb9ec34e63fc8b1d6efd2777d062fa6aaa68268fb67cf77f6839ad7"},
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{file = "protobuf-5.29.4-cp310-abi3-win_amd64.whl", hash = "sha256:bcefcdf3976233f8a502d265eb65ea740c989bacc6c30a58290ed0e519eb4b8d"},
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{file = "protobuf-5.29.4-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:307ecba1d852ec237e9ba668e087326a67564ef83e45a0189a772ede9e854dd0"},
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{file = "protobuf-5.29.4-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:aec4962f9ea93c431d5714ed1be1c93f13e1a8618e70035ba2b0564d9e633f2e"},
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{file = "protobuf-5.29.4-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:d7d3f7d1d5a66ed4942d4fefb12ac4b14a29028b209d4bfb25c68ae172059922"},
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{file = "protobuf-5.29.4-cp38-cp38-win32.whl", hash = "sha256:1832f0515b62d12d8e6ffc078d7e9eb06969aa6dc13c13e1036e39d73bebc2de"},
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{file = "protobuf-5.29.4-cp38-cp38-win_amd64.whl", hash = "sha256:476cb7b14914c780605a8cf62e38c2a85f8caff2e28a6a0bad827ec7d6c85d68"},
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{file = "protobuf-5.29.4-cp39-cp39-win32.whl", hash = "sha256:fd32223020cb25a2cc100366f1dedc904e2d71d9322403224cdde5fdced0dabe"},
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{file = "protobuf-5.29.4-cp39-cp39-win_amd64.whl", hash = "sha256:678974e1e3a9b975b8bc2447fca458db5f93a2fb6b0c8db46b6675b5b5346812"},
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{file = "protobuf-5.29.4-py3-none-any.whl", hash = "sha256:3fde11b505e1597f71b875ef2fc52062b6a9740e5f7c8997ce878b6009145862"},
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{file = "protobuf-5.29.4.tar.gz", hash = "sha256:4f1dfcd7997b31ef8f53ec82781ff434a28bf71d9102ddde14d076adcfc78c99"},
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{file = "protobuf-6.31.0-cp310-abi3-win32.whl", hash = "sha256:10bd62802dfa0588649740a59354090eaf54b8322f772fbdcca19bc78d27f0d6"},
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{file = "protobuf-6.31.0-cp310-abi3-win_amd64.whl", hash = "sha256:3e987c99fd634be8347246a02123250f394ba20573c953de133dc8b2c107dd71"},
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{file = "protobuf-6.31.0-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:2c812f0f96ceb6b514448cefeb1df54ec06dde456783f5099c0e2f8a0f2caa89"},
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{file = "protobuf-6.31.0-cp39-abi3-manylinux2014_aarch64.whl", hash = "sha256:67ce50195e4e584275623b8e6bc6d3d3dfd93924bf6116b86b3b8975ab9e4571"},
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{file = "protobuf-6.31.0-cp39-abi3-manylinux2014_x86_64.whl", hash = "sha256:5353e38844168a327acd2b2aa440044411cd8d1b6774d5701008bd1dba067c79"},
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{file = "protobuf-6.31.0-cp39-cp39-win32.whl", hash = "sha256:96d8da25c83b11db5fe9e0376351ce25e7205e13224d939e097b6f82a72af824"},
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{file = "protobuf-6.31.0-cp39-cp39-win_amd64.whl", hash = "sha256:00a873c06efdfb854145d9ded730b09cf57d206075c38132674093370e2edabb"},
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{file = "protobuf-6.31.0-py3-none-any.whl", hash = "sha256:6ac2e82556e822c17a8d23aa1190bbc1d06efb9c261981da95c71c9da09e9e23"},
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{file = "protobuf-6.31.0.tar.gz", hash = "sha256:314fab1a6a316469dc2dd46f993cbbe95c861ea6807da910becfe7475bc26ffe"},
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]
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[[package]]
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@ -3834,125 +3817,128 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
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[[package]]
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name = "rpds-py"
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version = "0.25.0"
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version = "0.25.1"
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description = "Python bindings to Rust's persistent data structures (rpds)"
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optional = false
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python-versions = ">=3.9"
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files = [
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{file = "rpds_py-0.25.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c146a24a8f0dc4a7846fb4640b88b3a68986585b8ce8397af15e66b7c5817439"},
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{file = "rpds_py-0.25.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:77814c7a4e1dc43fba73aeb4c1ef0fe37d901f3aa869a4823de5ea843a283fd0"},
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{file = "rpds_py-0.25.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5afbff2822016db3c696cb0c1432e6b1f0e34aa9280bc5184dc216812a24e70d"},
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{file = "rpds_py-0.25.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ffae52cd76837a5c16409359d236b1fced79e42e0792e8adf375095a5e855368"},
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{file = "rpds_py-0.25.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ddf9426b740a7047b2b0dddcba775211542e8053ce1e509a1759b665fe573508"},
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{file = "rpds_py-0.25.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9cad834f1a8f51eb037c3c4dc72c884c9e1e0644d900e2d45aa76450e4aa6282"},
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{file = "rpds_py-0.25.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c46bd76986e05689376d28fdc2b97d899576ce3e3aaa5a5f80f67a8300b26eb3"},
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{file = "rpds_py-0.25.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f3353a2d7eb7d5e0af8a7ca9fc85a34ba12619119bcdee6b8a28a6373cda65ce"},
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{file = "rpds_py-0.25.1-cp313-cp313t-win32.whl", hash = "sha256:2cb9e5b5e26fc02c8a4345048cd9998c2aca7c2712bd1b36da0c72ee969a3523"},
|
||||
{file = "rpds_py-0.25.1-cp313-cp313t-win_amd64.whl", hash = "sha256:401ca1c4a20cc0510d3435d89c069fe0a9ae2ee6495135ac46bdd49ec0495763"},
|
||||
{file = "rpds_py-0.25.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:ce4c8e485a3c59593f1a6f683cf0ea5ab1c1dc94d11eea5619e4fb5228b40fbd"},
|
||||
{file = "rpds_py-0.25.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d8222acdb51a22929c3b2ddb236b69c59c72af4019d2cba961e2f9add9b6e634"},
|
||||
{file = "rpds_py-0.25.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4593c4eae9b27d22df41cde518b4b9e4464d139e4322e2127daa9b5b981b76be"},
|
||||
{file = "rpds_py-0.25.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bd035756830c712b64725a76327ce80e82ed12ebab361d3a1cdc0f51ea21acb0"},
|
||||
{file = "rpds_py-0.25.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:114a07e85f32b125404f28f2ed0ba431685151c037a26032b213c882f26eb908"},
|
||||
{file = "rpds_py-0.25.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dec21e02e6cc932538b5203d3a8bd6aa1480c98c4914cb88eea064ecdbc6396a"},
|
||||
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||||
{file = "rpds_py-0.25.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0e6a327af8ebf6baba1c10fadd04964c1965d375d318f4435d5f3f9651550f4a"},
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{file = "rpds_py-0.25.1-cp39-cp39-win_amd64.whl", hash = "sha256:a61d0b2c7c9a0ae45732a77844917b427ff16ad5464b4d4f5e4adb955f582890"},
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{file = "rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d50e4864498a9ab639d6d8854b25e80642bd362ff104312d9770b05d66e5fb13"},
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||||
{file = "rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7c9409b47ba0650544b0bb3c188243b83654dfe55dcc173a86832314e1a6a35d"},
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||||
{file = "rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:796ad874c89127c91970652a4ee8b00d56368b7e00d3477f4415fe78164c8000"},
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||||
{file = "rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:85608eb70a659bf4c1142b2781083d4b7c0c4e2c90eff11856a9754e965b2540"},
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||||
{file = "rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4feb9211d15d9160bc85fa72fed46432cdc143eb9cf6d5ca377335a921ac37b"},
|
||||
{file = "rpds_py-0.25.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ccfa689b9246c48947d31dd9d8b16d89a0ecc8e0e26ea5253068efb6c542b76e"},
|
||||
{file = "rpds_py-0.25.1-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:3c5b317ecbd8226887994852e85de562f7177add602514d4ac40f87de3ae45a8"},
|
||||
{file = "rpds_py-0.25.1-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:454601988aab2c6e8fd49e7634c65476b2b919647626208e376afcd22019eeb8"},
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{file = "rpds_py-0.25.1-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:1c0c434a53714358532d13539272db75a5ed9df75a4a090a753ac7173ec14e11"},
|
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{file = "rpds_py-0.25.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:f73ce1512e04fbe2bc97836e89830d6b4314c171587a99688082d090f934d20a"},
|
||||
{file = "rpds_py-0.25.1-pp311-pypy311_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ee86d81551ec68a5c25373c5643d343150cc54672b5e9a0cafc93c1870a53954"},
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:89c24300cd4a8e4a51e55c31a8ff3918e6651b241ee8876a42cc2b2a078533ba"},
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:771c16060ff4e79584dc48902a91ba79fd93eade3aa3a12d6d2a4aadaf7d542b"},
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:785ffacd0ee61c3e60bdfde93baa6d7c10d86f15655bd706c89da08068dc5038"},
|
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2a40046a529cc15cef88ac5ab589f83f739e2d332cb4d7399072242400ed68c9"},
|
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:85fc223d9c76cabe5d0bff82214459189720dc135db45f9f66aa7cffbf9ff6c1"},
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b0be9965f93c222fb9b4cc254235b3b2b215796c03ef5ee64f995b1b69af0762"},
|
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8378fa4a940f3fb509c081e06cb7f7f2adae8cf46ef258b0e0ed7519facd573e"},
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:33358883a4490287e67a2c391dfaea4d9359860281db3292b6886bf0be3d8692"},
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-musllinux_1_2_i686.whl", hash = "sha256:1d1fadd539298e70cac2f2cb36f5b8a65f742b9b9f1014dd4ea1f7785e2470bf"},
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{file = "rpds_py-0.25.1-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:9a46c2fb2545e21181445515960006e85d22025bd2fe6db23e76daec6eb689fe"},
|
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{file = "rpds_py-0.25.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:50f2c501a89c9a5f4e454b126193c5495b9fb441a75b298c60591d8a2eb92e1b"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:7d779b325cc8238227c47fbc53964c8cc9a941d5dbae87aa007a1f08f2f77b23"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:036ded36bedb727beeabc16dc1dad7cb154b3fa444e936a03b67a86dc6a5066e"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:245550f5a1ac98504147cba96ffec8fabc22b610742e9150138e5d60774686d7"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ff7c23ba0a88cb7b104281a99476cccadf29de2a0ef5ce864959a52675b1ca83"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e37caa8cdb3b7cf24786451a0bdb853f6347b8b92005eeb64225ae1db54d1c2b"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f2f48ab00181600ee266a095fe815134eb456163f7d6699f525dee471f312cf"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9e5fc7484fa7dce57e25063b0ec9638ff02a908304f861d81ea49273e43838c1"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:d3c10228d6cf6fe2b63d2e7985e94f6916fa46940df46b70449e9ff9297bd3d1"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:5d9e40f32745db28c1ef7aad23f6fc458dc1e29945bd6781060f0d15628b8ddf"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:35a8d1a24b5936b35c5003313bc177403d8bdef0f8b24f28b1c4a255f94ea992"},
|
||||
{file = "rpds_py-0.25.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:6099263f526efff9cf3883dfef505518730f7a7a93049b1d90d42e50a22b4793"},
|
||||
{file = "rpds_py-0.25.1.tar.gz", hash = "sha256:8960b6dac09b62dac26e75d7e2c4a22efb835d827a7278c34f72b2b84fa160e3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -4336,17 +4322,17 @@ telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "typer"
|
||||
version = "0.15.3"
|
||||
version = "0.15.4"
|
||||
description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "typer-0.15.3-py3-none-any.whl", hash = "sha256:c86a65ad77ca531f03de08d1b9cb67cd09ad02ddddf4b34745b5008f43b239bd"},
|
||||
{file = "typer-0.15.3.tar.gz", hash = "sha256:818873625d0569653438316567861899f7e9972f2e6e0c16dab608345ced713c"},
|
||||
{file = "typer-0.15.4-py3-none-any.whl", hash = "sha256:eb0651654dcdea706780c466cf06d8f174405a659ffff8f163cfbfee98c0e173"},
|
||||
{file = "typer-0.15.4.tar.gz", hash = "sha256:89507b104f9b6a0730354f27c39fae5b63ccd0c95b1ce1f1a6ba0cfd329997c3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
click = ">=8.0.0"
|
||||
click = ">=8.0.0,<8.2"
|
||||
rich = ">=10.11.0"
|
||||
shellingham = ">=1.3.0"
|
||||
typing-extensions = ">=3.7.4.3"
|
||||
@ -4379,13 +4365,13 @@ typing-extensions = ">=3.7.4"
|
||||
|
||||
[[package]]
|
||||
name = "typing-inspection"
|
||||
version = "0.4.0"
|
||||
version = "0.4.1"
|
||||
description = "Runtime typing introspection tools"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"},
|
||||
{file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"},
|
||||
{file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"},
|
||||
{file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
||||
@ -1,17 +1,23 @@
|
||||
import os
|
||||
from rag_system.loaders.pdf_loader import load_pdf
|
||||
from rag_system.loaders.web_loader import load_web_crawl
|
||||
from rag_system.vectordb.azure_search import add_documents
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv() # take environment variables
|
||||
|
||||
|
||||
def main():
|
||||
print("[1/2] Splitting and processing documents...")
|
||||
pdf_documents = load_pdf("data/verint-responsible-ethical-ai.pdf")
|
||||
# web_documents = load_web_crawl(["https://excalibur.mgmresorts.com/en.html"])
|
||||
# web_documents = load_web_crawl(["https://www.verint.com"])
|
||||
# web_documents = load_web_crawl("https://firecrawl.dev")
|
||||
# pdf_documents = load_pdf("data/verint-responsible-ethical-ai.pdf")
|
||||
|
||||
documents = load_web_crawl(os.getenv("CRAWLER_COMPANY_URL"))
|
||||
for doc in documents:
|
||||
doc.metadata["company"] = os.getenv("CRAWLER_COMPANY_NAME")
|
||||
print("[2/2] Generating and storing embeddings...")
|
||||
add_documents(pdf_documents)
|
||||
# add_documents(web_documents)
|
||||
# add_documents(pdf_documents)
|
||||
add_documents(documents)
|
||||
print("Embeddings stored. You can now run the Streamlit app with:\n")
|
||||
print(" streamlit run rag_system/app/streamlit_app.py")
|
||||
|
||||
|
||||
@ -1,24 +1,39 @@
|
||||
import json
|
||||
import os
|
||||
import logging
|
||||
|
||||
from langchain_community.document_loaders import WebBaseLoader
|
||||
from langchain.text_splitter import RecursiveCharacterTextSplitter
|
||||
from rag_system.loaders.firecrawl import FireCrawlLoader
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv() # take environment variables]
|
||||
|
||||
# Configure the logging
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
|
||||
firecrawl_api_key = os.getenv("FIRECRAWL_API_KEY")
|
||||
firecrawl_api_url = os.getenv("FIRECRAWL_API_URL")
|
||||
firecrawl_mode = os.getenv("FIRECRAWL_MODE")
|
||||
firecrawl_params = os.getenv("FIRECRAWL_PARAMS")
|
||||
if firecrawl_params:
|
||||
firecrawl_params = json.loads(firecrawl_params)
|
||||
|
||||
logging.info(f"web_loader firecrawl_api_url: {firecrawl_api_url}")
|
||||
logging.info(f"web_loader firecrawl_mode: {firecrawl_mode}")
|
||||
logging.info(f"web_loader firecrawl_params: {firecrawl_params}")
|
||||
|
||||
|
||||
def load_web_crawl(url):
|
||||
|
||||
documents = []
|
||||
metadatas = []
|
||||
logging.info(f"load_web_crawl url: {url}")
|
||||
|
||||
loader = FireCrawlLoader(
|
||||
url=url,
|
||||
api_key="changeme",
|
||||
api_url="http://localhost:3002",
|
||||
mode="crawl",
|
||||
params={
|
||||
"limit": 100,
|
||||
"include_paths": ["/.*"],
|
||||
"ignore_sitemap": True,
|
||||
"poll_interval": 5,
|
||||
},
|
||||
api_key=firecrawl_api_key,
|
||||
api_url=firecrawl_api_url,
|
||||
mode=firecrawl_mode,
|
||||
params=firecrawl_params,
|
||||
)
|
||||
docs = []
|
||||
docs_lazy = loader.load()
|
||||
@ -35,10 +50,4 @@ def load_web_crawl(url):
|
||||
chunk_size=250, chunk_overlap=0
|
||||
)
|
||||
# Split the documents into chunks
|
||||
splits = text_splitter.split_documents(docs)
|
||||
|
||||
for split in splits:
|
||||
documents.append(split.page_content)
|
||||
metadatas.append(split.metadata)
|
||||
|
||||
return (documents, metadatas)
|
||||
return text_splitter.split_documents(docs)
|
||||
|
||||
@ -1,7 +1,13 @@
|
||||
import os
|
||||
|
||||
from typing import Tuple
|
||||
from langchain_community.vectorstores.azuresearch import AzureSearch
|
||||
from langchain_community.vectorstores.azuresearch import (
|
||||
AzureSearch,
|
||||
FIELDS_CONTENT,
|
||||
FIELDS_CONTENT_VECTOR,
|
||||
FIELDS_ID,
|
||||
FIELDS_METADATA,
|
||||
)
|
||||
from langchain_openai import AzureOpenAIEmbeddings, OpenAIEmbeddings
|
||||
from dotenv import load_dotenv
|
||||
from uuid import uuid4
|
||||
@ -32,6 +38,50 @@ embeddings: AzureOpenAIEmbeddings = AzureOpenAIEmbeddings(
|
||||
api_key=os.getenv("AZURE_OPENAI_API_KEY"),
|
||||
)
|
||||
|
||||
try:
|
||||
from azure.search.documents.indexes.models import (
|
||||
SearchableField,
|
||||
SearchField,
|
||||
SearchFieldDataType,
|
||||
SimpleField,
|
||||
)
|
||||
except ImportError as e:
|
||||
raise ImportError(
|
||||
"Unable to import azure.search.documents. Please install with "
|
||||
"`pip install -U azure-search-documents`."
|
||||
) from e
|
||||
|
||||
fields = [
|
||||
SimpleField(
|
||||
name=FIELDS_ID,
|
||||
type=SearchFieldDataType.String,
|
||||
key=True,
|
||||
filterable=True,
|
||||
),
|
||||
SimpleField(
|
||||
name="company",
|
||||
type=SearchFieldDataType.String,
|
||||
key=False,
|
||||
filterable=True,
|
||||
),
|
||||
SearchableField(
|
||||
name=FIELDS_CONTENT,
|
||||
type=SearchFieldDataType.String,
|
||||
),
|
||||
SearchField(
|
||||
name=FIELDS_CONTENT_VECTOR,
|
||||
type=SearchFieldDataType.Collection(SearchFieldDataType.Single),
|
||||
searchable=True,
|
||||
vector_search_dimensions=None or len("Text"),
|
||||
vector_search_profile_name="myHnswProfile",
|
||||
),
|
||||
SearchableField(
|
||||
name=FIELDS_METADATA,
|
||||
type=SearchFieldDataType.String,
|
||||
),
|
||||
]
|
||||
|
||||
|
||||
# Specify additional properties for the Azure client such as the following https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md#configurations
|
||||
vector_store: AzureSearch = AzureSearch(
|
||||
azure_search_endpoint=os.getenv("VECTOR_STORE_ADDRESS"),
|
||||
@ -40,6 +90,7 @@ vector_store: AzureSearch = AzureSearch(
|
||||
embedding_function=embeddings.embed_query,
|
||||
# Configure max retries for the Azure client
|
||||
additional_search_client_options={"retry_total": os.getenv("RETRY_TOTAL")},
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
|
||||
|
||||
16
retriever/.env.sample
Normal file
16
retriever/.env.sample
Normal file
@ -0,0 +1,16 @@
|
||||
# Azure AI Search connection settings
|
||||
AZURE_AISEARCH_ENDPOINT=https://iva-demo-vector-service.search.windows.net
|
||||
AZURE_AISEARCH_KEY=your-azure-search-key
|
||||
AZURE_AISEARCH_INDEX_NAME=iva-vector-demo
|
||||
|
||||
# If you're using Azure OpenAI API, you'll need to set these variables
|
||||
AZURE_OPENAI_API_KEY=your-azure-openai-key
|
||||
AZURE_OPENAI_API_INSTANCE_NAME=iva-open-ai
|
||||
AZURE_OPENAI_API_DEPLOYMENT_NAME=text-embedding-3-small
|
||||
AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME=
|
||||
AZURE_OPENAI_API_VERSION=2024-08-01-preview
|
||||
|
||||
# Or you can use the OpenAI API directly
|
||||
OPENAI_API_KEY=
|
||||
DEBUG=true
|
||||
|
||||
@ -5,6 +5,7 @@ import {
|
||||
import { OpenAIEmbeddings, AzureOpenAIEmbeddings } from "@langchain/openai";
|
||||
|
||||
const query = process.argv[2] || "What is CX Automation?";
|
||||
const company = process.argv[3] || "default";
|
||||
|
||||
// the RAG widget uses the OpenAIEmbeddings class but the config will not work because you cannot pass in the api-version param. DO NOT USE
|
||||
// const embedding = new OpenAIEmbeddings({
|
||||
@ -34,11 +35,25 @@ function getSourceId(document) {
|
||||
if (document.metadata) {
|
||||
const mergedMetadata = Object.values(document.metadata).join("");
|
||||
const metatDataObj = JSON.parse(mergedMetadata);
|
||||
return metatDataObj.source;
|
||||
} else return undefined;
|
||||
}
|
||||
|
||||
const resultDocuments = await store.similaritySearch(query);
|
||||
if ("sourceURL" in metatDataObj) {
|
||||
return metatDataObj.sourceURL;
|
||||
}
|
||||
if ("source" in metatDataObj) {
|
||||
return metatDataObj.source;
|
||||
}
|
||||
if ("source_id" in metatDataObj) {
|
||||
return metatDataObj.source_id;
|
||||
}
|
||||
if ("sourceName" in metatDataObj) {
|
||||
return metatDataObj.sourceName;
|
||||
}
|
||||
} else return "no source found";
|
||||
}
|
||||
const filter = {
|
||||
filterExpression: `search.in(company, '${company}')`,
|
||||
};
|
||||
const resultDocuments = await store.similaritySearch(query, 20, filter);
|
||||
const sources = resultDocuments.map((doc) => ({
|
||||
source_id: getSourceId(doc),
|
||||
text: doc.pageContent,
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
"version": "1.0.0",
|
||||
"main": "index.js",
|
||||
"scripts": {
|
||||
"test": "node --env-file=.env index.js \"What is Verint?\""
|
||||
"test": "node --env-file=.env index.js \"What is Verint?\" \"Verint\""
|
||||
},
|
||||
"author": "",
|
||||
"license": "MIT",
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user