{"cells":[{"cell_type":"code","source":["# Making sure I'm in the right place on the right branch\n","from google.colab import drive\n","drive.mount('/content/gdrive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"W-uS7QaW2Xoh","executionInfo":{"status":"ok","timestamp":1678815203602,"user_tz":240,"elapsed":18819,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"a4615ab5-8887-4734-a794-6ec5cea1fb52"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/gdrive\n"]}]},{"cell_type":"code","source":["work_dir = \"/content/gdrive/MyDrive/projects/dms/sales_qa/\""],"metadata":{"id":"veDHPSGD2XgA"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["%cd {work_dir}\n","%pwd"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":54},"id":"GgHyuASX2XdB","executionInfo":{"status":"ok","timestamp":1678815203962,"user_tz":240,"elapsed":10,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"ce64f95e-11ac-4496-f3a6-75b6ca15300f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["/content/gdrive/MyDrive/projects/dms/sales_qa\n"]},{"output_type":"execute_result","data":{"text/plain":["'/content/gdrive/MyDrive/projects/dms/sales_qa'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":3}]},{"cell_type":"code","source":["!git branch"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"UuOVNLuP66wk","executionInfo":{"status":"ok","timestamp":1678280635160,"user_tz":300,"elapsed":1983,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"8e5355b6-2a7e-44d9-e3fb-f8adf0732711"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["* \u001b[32mmain\u001b[m\n"]}]},{"cell_type":"code","source":["%ls -la"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IskET5kB_C4m","executionInfo":{"status":"ok","timestamp":1678280636466,"user_tz":300,"elapsed":238,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"a1381d53-db34-4985-8106-f6bdcb28f10f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["total 349\n","-rw------- 1 root root 11362 Mar 7 21:23 app.py\n","drwx------ 2 root root 4096 Mar 7 21:23 \u001b[0m\u001b[01;34mdata\u001b[0m/\n","-rw------- 1 root root 323673 Mar 8 13:03 doc_ingest.ipynb\n","drwx------ 9 root root 4096 Mar 7 21:23 \u001b[01;34m.git\u001b[0m/\n","-rw------- 1 root root 1477 Mar 7 21:23 .gitattributes\n","drwx------ 2 root root 4096 Mar 8 10:38 \u001b[01;34mplan_docs\u001b[0m/\n","-rw------- 1 root root 173 Mar 8 11:26 plan_metadata.gsheet\n","-rw------- 1 root root 5379 Mar 8 11:32 plan_metadata.xlsx\n","-rw------- 1 root root 266 Mar 7 21:23 README.md\n","-rw------- 1 root root 86 Mar 7 21:23 requirements.txt\n"]}]},{"cell_type":"markdown","source":["# Create sqllite db with plan info to look up plans"],"metadata":{"id":"ihX3CN9G702g"}},{"cell_type":"code","source":["import pandas as pd\n","plans_df = pd.read_excel(\"plan_metadata.xlsx\")"],"metadata":{"id":"2LH9Monk8FXw"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["plans_df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":174},"id":"hwuEorYD8FaH","executionInfo":{"status":"ok","timestamp":1678298297064,"user_tz":300,"elapsed":190,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"aa9f004c-7590-417f-d7db-09fed19dfd91"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":[" company plan_name plan_type \\\n","0 Humana Humana Gold Plus (HMO) HMO \n","1 Humana Humana Community (HMO) HMO \n","2 Essence Essence Advantage (HMO) HMO \n","3 Essence Essence Advantage Plus (HMO) HMO \n","\n"," link_base \\\n","0 https://www.humana-medicare.com/BenefitSummary... \n","1 https://www.humana-medicare.com/BenefitSummary... \n","2 https://shared.portals.lumeris.io/Document/Dow... \n","3 https://shared.portals.lumeris.io/Document/Dow... \n","\n"," file_name state county \n","0 H5619071000SB23.pdf KY Jefferson \n","1 H1036236000SB23.pdf KY Jefferson \n","2 2023-EHI-SOBSummaryofBenefitsLOULEX.pdf KY Jefferson \n","3 2023-EHI-SOBSummaryofBenefitsLOULEX.pdf KY Jefferson "],"text/html":["\n","
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companyplan_nameplan_typelink_basefile_namestatecounty
0HumanaHumana Gold Plus (HMO)HMOhttps://www.humana-medicare.com/BenefitSummary...H5619071000SB23.pdfKYJefferson
1HumanaHumana Community (HMO)HMOhttps://www.humana-medicare.com/BenefitSummary...H1036236000SB23.pdfKYJefferson
2EssenceEssence Advantage (HMO)HMOhttps://shared.portals.lumeris.io/Document/Dow...2023-EHI-SOBSummaryofBenefitsLOULEX.pdfKYJefferson
3EssenceEssence Advantage Plus (HMO)HMOhttps://shared.portals.lumeris.io/Document/Dow...2023-EHI-SOBSummaryofBenefitsLOULEX.pdfKYJefferson
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'Humana', 'Humana Community (HMO) ', 'HMO', 'https://www.humana-medicare.com/BenefitSummary/2023PDFs/', 'H1036236000SB23.pdf', 'KY', 'Jefferson'),\n"," (2, 'Essence', 'Essence Advantage (HMO)', 'HMO', 'https://shared.portals.lumeris.io/Document/Download?doc=/2023/EHI/', '2023-EHI-SOBSummaryofBenefitsLOULEX.pdf', 'KY', 'Jefferson'),\n"," (3, 'Essence', 'Essence Advantage Plus (HMO)', 'HMO', 'https://shared.portals.lumeris.io/Document/Download?doc=/2023/EHI/', '2023-EHI-SOBSummaryofBenefitsLOULEX.pdf', 'KY', 'Jefferson')]"]},"metadata":{},"execution_count":14}]},{"cell_type":"markdown","metadata":{"id":"ZyP3dXRfcXLa"},"source":["# Ingest PDF benefit documents into Chroma vector DB\n","- install and imports\n"]},{"cell_type":"code","source":[],"metadata":{"id":"hDIlKlPR65bK"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"X2R9TjVzNV_E","outputId":"e9468829-9c9a-43bf-b6d3-397109ef86c3","executionInfo":{"status":"ok","timestamp":1678815228547,"user_tz":240,"elapsed":15495,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting sentence-transformers\n"," Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.0/86.0 KB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n","Collecting transformers<5.0.0,>=4.6.0\n"," Downloading transformers-4.26.1-py3-none-any.whl (6.3 MB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.3/6.3 MB\u001b[0m \u001b[31m55.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.9/dist-packages (from sentence-transformers) (4.65.0)\n","Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.9/dist-packages (from sentence-transformers) (1.13.1+cu116)\n","Requirement already satisfied: torchvision in /usr/local/lib/python3.9/dist-packages (from sentence-transformers) (0.14.1+cu116)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.9/dist-packages (from sentence-transformers) (1.22.4)\n","Requirement already satisfied: scikit-learn in /usr/local/lib/python3.9/dist-packages (from sentence-transformers) (1.2.2)\n","Requirement already satisfied: scipy in /usr/local/lib/python3.9/dist-packages (from sentence-transformers) 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tokenizers-0.13.2 transformers-4.26.1\n"]}],"source":["!pip install -U sentence-transformers "]},{"cell_type":"code","source":["!pip install langchain"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"T6_80h9LpY0Z","executionInfo":{"status":"ok","timestamp":1678815248699,"user_tz":240,"elapsed":20156,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"f051d6fe-f84b-4f9e-ec61-f99c434ef374"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting langchain\n"," Downloading langchain-0.0.110-py3-none-any.whl (379 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m379.4/379.4 KB\u001b[0m \u001b[31m7.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting aiohttp<4.0.0,>=3.8.3\n"," Downloading 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PyPDF2"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"v-SW53x91M0u","executionInfo":{"status":"ok","timestamp":1678815258322,"user_tz":240,"elapsed":9626,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"5e2fc8cf-976d-4d8f-826c-de0c63e8d324"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting PyPDF2\n"," Downloading pypdf2-3.0.1-py3-none-any.whl (232 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m232.6/232.6 KB\u001b[0m \u001b[31m6.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: typing_extensions>=3.10.0.0 in /usr/local/lib/python3.9/dist-packages (from PyPDF2) (4.5.0)\n","Installing collected packages: PyPDF2\n","Successfully installed PyPDF2-3.0.1\n"]}]},{"cell_type":"code","source":["!pip install -U chromadb"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WfKglAO7l98x","executionInfo":{"status":"ok","timestamp":1678815336042,"user_tz":240,"elapsed":77726,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"f1132dc1-a34e-4647-940a-cfe73d778035"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting chromadb\n"," Downloading chromadb-0.3.11-py3-none-any.whl (41 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.4/41.4 KB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting uvicorn[standard]>=0.18.3\n"," Downloading uvicorn-0.21.0-py3-none-any.whl (57 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.8/57.8 KB\u001b[0m \u001b[31m5.4 MB/s\u001b[0m eta 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Created wheel for hnswlib: filename=hnswlib-0.7.0-cp39-cp39-linux_x86_64.whl size=2118475 sha256=fa3350d24aaa9fb533854cc133aeacedb1bf7190e2713d0a52d6a1b09ed0b85b\n"," Stored in directory: /root/.cache/pip/wheels/ba/26/61/fface6c407f56418b3140cd7645917f20ba6b27d4e32b2bd20\n","Successfully built hnswlib\n","Installing collected packages: duckdb, zstandard, websockets, uvloop, sniffio, requests, python-dotenv, lz4, httptools, hnswlib, h11, uvicorn, clickhouse-connect, anyio, watchfiles, starlette, fastapi, chromadb\n"," Attempting uninstall: requests\n"," Found existing installation: requests 2.25.1\n"," Uninstalling requests-2.25.1:\n"," Successfully uninstalled requests-2.25.1\n","Successfully installed anyio-3.6.2 chromadb-0.3.11 clickhouse-connect-0.5.15 duckdb-0.7.1 fastapi-0.94.1 h11-0.14.0 hnswlib-0.7.0 httptools-0.5.0 lz4-4.3.2 python-dotenv-1.0.0 requests-2.28.2 sniffio-1.3.0 starlette-0.26.1 uvicorn-0.21.0 uvloop-0.17.0 watchfiles-0.18.1 websockets-10.4 zstandard-0.20.0\n"]}]},{"cell_type":"code","source":["import pickle\n","import json\n","from sentence_transformers import SentenceTransformer, CrossEncoder, util\n","import gzip\n","import os\n","from torch import load as torch_load\n","from torch import cuda as torch_cuda\n","\n","if not torch_cuda.is_available():\n"," print(\"Warning: No GPU found. Please add GPU to your notebook\")"],"metadata":{"id":"FalS1pl3lZiU","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1678815352162,"user_tz":240,"elapsed":16128,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"4e902e41-1c13-4512-e1b3-d955d49e7a64"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Warning: No GPU found. Please add GPU to your notebook\n"]}]},{"cell_type":"code","source":["from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter"],"metadata":{"id":"YozNQMm_pUvq"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["import io\n","from urllib import request\n","from urllib.request import Request, urlopen\n","from PyPDF2 import PdfReader, PdfFileReader\n","import glob"],"metadata":{"id":"_mvxWttK0zKt"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["import chromadb\n","from chromadb.config import Settings"],"metadata":{"id":"dgU6DPNxsXMn"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["import pandas as pd"],"metadata":{"id":"lPS18ZtssWz3"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#We use the Bi-Encoder to encode all passages, so that we can use it with sematic search\n","bi_encoder = SentenceTransformer('multi-qa-MiniLM-L6-cos-v1')\n","bi_encoder.max_seq_length = 256 #Truncate long passages to 256 tokens\n","\n","# #The bi-encoder will retrieve 100 documents. We use a cross-encoder, to re-rank the results list to improve the quality\n","# cross_encoder = CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')"],"metadata":{"id":"QUPkHJdWm93P","executionInfo":{"status":"ok","timestamp":1678815361875,"user_tz":240,"elapsed":7899,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"colab":{"base_uri":"https://localhost:8080/","height":465,"referenced_widgets":["b138aa06a9304d828d4aa804a63328e9","3163aa05a9fc48759843da21049db5c0","802d51f993b24af0844960285b653700","1886832bbc6e4b958166d932c6d0460e","8d198fa250d84c958b6fcf1b49009bc8","897aad10e1604127a1915f6a8c2939dc","3ce90b9ccda249c2af829f68cd2a669e","4eb5a2f79fc44a7d840346fc389e8f65","5ec59a43860e4b4cb6e86c1bd87bace2","e40239c169cc40dfbf156cdec3e9f6b7","c925f2e1ade241a595c7f1e0b7746fa7","ec44a3ee0fde44d4bae2e7cf96984fb6","23266eca71064796b1114575a257604b","1c01bc9a697044c2bbb42be8796fc4eb","2de9485e0ddb4121b6c2af5d3cd80fa6","7c091484eec042b3b26b550ce307bee3","2651c98cce6648b1bc99f186513a399b","177bc8603ecd43b49546475211c7f868","0c131542642148c9961536ea98c0137c","5071b88ecea54a1ea12a93e6fa68ae40","f5b98acfc7cf42e0ab56ed2dc122ad70","b3541618004b400abed23d873fcf8129","f0a3f17de8464aea8c0858a417954f73","58de80d177a84e4fa3cc24babcb51438","9e83e4e3102b4f80a568a17f4b853926","0830d86cd78a4b1cb385fe888f9e4343","e88b7524a6b649f2b833ab407acd4653","a0e3c6b268d1459987eed3090622b63f","cd73ae34c091463eaf721abaf57f8097","6a8cb3f76eca40b69fb2d4c60fff9644","da41b54262944ff8ab71318d4ae9c939","2285bf4d98d042ff998ca1e9ba468886","bf3db42846e8468892a9b9691cfe2b2a","cc4ea8a17d994dd6afdecb21cfeaabae","4122d5897b0341f286e89526fc4bcf8b","530e0568b08e4446a3a2d7825abe7c4a","bdc82dc3774d4afba63f7cb3a648a4fe","43789605cb504d729e4d0218feb264c5","ba9b0333ca5b4ff38a3d233754557e90","49e93623b6a7482eabaa57aa022dc122","96468298aa014ce7a446a99935300099","92008b6a8dd14d729f4bdde224ee8ba1","f106e897ca324eb1adc3b54c6deaf6c9","57958cc4a57c4cb6b5a06d8ea5fd9a3c","2f5c0d8a7cd94a86ac610d1a202afe91","ff938341c31248a4936a3712b1639365","982d23e0c4e34fe88d725c36c6233490","128edee01303462093110b5fa285e31f","c45c3893cff44b948c10ccf2f579ef07","419be37eac5f426dbb16d9851ba5bc67","105dafda8eaf48c19f07bf4fb81c9ba1","bdd19651227542f3ac1720a681c03257","72ef20a366b34b50846c87c35a115750","1f1324c56a524649ac70dacaf9c8f99d","452a4ef4f5834479b536770f38ea0023","313a969fb7404f7ab03d3e510c5d901d","722ca54383bd45c698c92725622cc5a9","57ed3b1684044e40a87856254c2209b6","572ebca45077443aac1ad00b16445aee","fc2711786fbf46cd86b40356b174edb7","3b6af6f90b0d4f4899d6736e9970e845","331623885aab458db43c5b8523f11e1b","76234ada88a14a39815261ae69df8b58","cac81ef5f6494672a685e887f710bd3b","ae4c84c9644044458deabb8cc44b1484","766538d72846478ea077c99b90227e67","19c051868b08475dbe5f3b0dd6d6e060","811f85a540624291a4447c8486d0689e","2ab11e53a1ef4cad8bc715323a27e564","7d46fda7ba5447dda9c20923c99316b3","463bbd9f8f314654a2c04158199e0d3a","59902eb789434a33afdfb95010ba94c2","351cc2ed2c1c401c894079892c66385e","b0dce9de32ee4764961b34f186fed478","0e60bd79772743f380804c5062751e5c","962edf0e1af54ab6b4cd4a0657293721","53f252e74ac447e4bc26f1fdaed9b115","ca5074be81cb47b1941dad04caf87c65","f952d97cfda94aa9bb86f6cb7ef36aa2","11b0350ded3b46bc9f1165dcea2e5d45","5e6be0a4986d49eabf2af04209f41199","bf6e6b27866b436ebaf88e5708e286ab","39eb5c90bd684c44920af2bf9aa09717","0b8be20124e74782927c0e5153790c0b","a5e84329dbc7483cb06990cab5ef0f1b","54e2256e878d4066971e659826c6da60","1ba572ad1fb9452a96c0f30e9d981334","ccd05565f8284fb2b4f82123f6132544","afffdf68830840feb2ab6fd307f71494","4bab0d0fe5554221b5bd35e4dfd6c290","ba551fb0cd49461e8f13b67612f65993","f140e4b6fc48424aac34fc009d4374a4","d6966de0903e47788a8c3dd422a1df1c","80bdf38dbcae4e03a7b1fde210933a52","50309917f4884787a5ff8eeae893a1b4","055048a8b16e42f69baad57e438f9c5e","00defac0a3844677a439823caeaeb5cb","14029eaf55a44a1a863764b815c2b07b","043a7d73810f47cbab03e89c93cfaa91","32528eb2f60d40cb8e5fc74ba976345e","593a1d80de49408d81f776c1d2c7faea","891f1b01646b49c48bd05053df1fef16","43e174cff8f64c4783a9f1e3a5391201","54f01a1ab4e8400fa73c59b8603a4378","a461847f45cb4fb7bf398c6ed7dd910f","bdce7da8e16b4c8d9579232a9360c1a6","6f3c94d707a048e2b56b753e2cff884a","d4106d077a1d4a36b14e3b28e8b2a19c","73e35bb344ab4e96b48e614b9d791047","6a0602071c3c44cdbbc8ba9496ef7dba","a53a60056c87417eba56660294b39ba7","ac27b3a70e9c46ffa5fee81159632b60","abb28254a1b4446c8181364892da547d","45989b5303c243978757bb64cbbfb24c","402924ab2cdf4152bb2b0e2e07373c03","aa1c9838fbf846f991a8c8b4aac6ad73","772746054aff45c9bb2e11af14249cff","a5a07686ee9c466586d0053bb178ebc4","382cbe2fcb3c4a27bc5347cf15c7d2fc","6b63577927ac45008f4bbd51ac6f75d0","dd2168b61f0a4af286cc4d0c0c6f3a44","93fc525e43d64f35b5278cfbdffa8b3e","9871d3b3b2414179b0a979fbadc1d3ee","8e85290f8d6a420591e5655c638c31e4","785acd5dd38f481483afe92c1ddcd496","bfece0017b914c96bdafccf921d6ab8b","2122594f781a4cefa903bc8b5c826b77","dcfe5fa3b505427f96273b24c35618fd","cdcd9f35d5af4b7992266f5f12e6a66f","c38c65f297ff4b2a9d864e10049de670","ac17747a2f1e40ca8f8a724280fde72a","b090df0e82b144f680f9758300bf475b","55c89cb46a744f909da5cfffe254bbc3","1bc885119d374107896e65f34e9195fb","7639eab1ff5a4fd08ef2fea77af624b0","90d3330947a24f5f87e7f001c45e563c","ed876d27136d45859c7a2f250f714f89","1aa841d3489b4a0aad8d03af1db9d431","d86c8b087abd4c4a8f0025bb62a2d968","b71a8d721ad9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(…)5fedf/.gitattributes: 0%| | 0.00/737 [00:00\n","
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companyplan_nameplan_typelink_basefile_namestatecounty
0HumanaHumana Gold Plus (HMO)HMOhttps://www.humana-medicare.com/BenefitSummary...H5619071000SB23.pdfKYJefferson
1HumanaHumana Community (HMO)HMOhttps://www.humana-medicare.com/BenefitSummary...H1036236000SB23.pdfKYJefferson
2EssenceEssence Advantage (HMO)HMOhttps://shared.portals.lumeris.io/Document/Dow...2023-EHI-SOBSummaryofBenefitsLOULEX.pdfKYJefferson
3EssenceEssence Advantage Plus (HMO)HMOhttps://shared.portals.lumeris.io/Document/Dow...2023-EHI-SOBSummaryofBenefitsLOULEX.pdfKYJefferson
\n","
\n"," \n"," \n"," \n","\n"," \n","
\n"," \n"," "]},"metadata":{},"execution_count":18}]},{"cell_type":"code","source":["prefx = plans_df[plans_df.file_name=='2023-EHI-SOBSummaryofBenefitsLOULEX.pdf'].link_base.values[0]\n","prefx"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":36},"id":"xJ3LGhNcgOxl","executionInfo":{"status":"ok","timestamp":1678306169427,"user_tz":300,"elapsed":15,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"5144b149-7a57-4217-dc11-f4ae9cdcba71"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'https://shared.portals.lumeris.io/Document/Download?doc=/2023/EHI/'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":19}]},{"cell_type":"code","source":["dir = './plan_docs'\n","for root, dirs, files in os.walk(dir):\n"," for rootdir in dirs:\n"," print(dir)\n"," for filename in files:\n"," print(os.path.join(root, filename))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"zSjYssRIh7y2","executionInfo":{"status":"ok","timestamp":1678306169427,"user_tz":300,"elapsed":14,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"ea7dd965-9645-454a-c367-389063efbfcf"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["./plan_docs\n","./plan_docs\n","./plan_docs/Humana/H5619071000SB23.pdf\n","./plan_docs/Humana/H1036236000SB23.pdf\n","./plan_docs/Essence/2023-EHI-SOBSummaryofBenefitsLOULEX.pdf\n"]}]},{"cell_type":"code","source":["# iterate over files in\n","# that directory\n","dir = './plan_docs'\n","\n","for plan in os.listdir(dir):\n"," d = os.path.join(dir, plan)\n"," # checking if it is a file\n"," if os.path.isdir(d):\n"," print(\"Creating texts for:\", plan)\n"," print(\"Files in:\",d)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ed-_3uOijdIq","executionInfo":{"status":"ok","timestamp":1678306169427,"user_tz":300,"elapsed":10,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"73ebd1bd-72f7-4b70-ac23-3a6c7b574308"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating texts for: Humana\n","Files in: ./plan_docs/Humana\n","Creating texts for: Essence\n","Files in: ./plan_docs/Essence\n"]}]},{"cell_type":"code","source":["import glob\n","import os\n","\n","dir = './plan_docs'\n","\n","mypassages = []\n","mymetadatas = []\n","\n","for plan in os.listdir(dir):\n"," d = os.path.join(dir, plan)\n"," # checking if it is a file\n"," if os.path.isdir(d):\n"," print(\"Creating texts for:\", plan)\n"," print(\"Files in:\",d)\n","\n"," for pth in glob.glob(f'{d}/*.pdf'):\n"," fl_pth, fl_nm = os.path.split(pth)\n"," print(fl_nm)\n","\n"," prefx = plans_df[plans_df.file_name==fl_nm]\n"," if len(prefx)>0:\n"," prefx = prefx.link_base.values[0]\n"," else:\n"," continue # If there are no records matching that file, then skip\n"," print(prefx)\n","\n"," with open(pth, 'rb') as f:\n"," pdf_file = PdfReader(f)\n"," for pg, p_obj in enumerate(pdf_file.pages):\n"," # print(pg+1)\n"," p_txt = p_obj.extract_text()\n"," #passages = p_txt.split('\\n')\n"," texts = text_splitter.split_text(p_txt)\n"," for t in texts:\n"," mypassages.append(t)\n"," d = {'doc_type':'plan benefits', 'company':plan.lower(), 'source':fl_nm, 'page': pg+1, 'url':prefx+str(fl_nm)+'#page='+str(pg+1)}\n"," mymetadatas.append(d)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"a-NpNqGWh71a","executionInfo":{"status":"ok","timestamp":1678306253414,"user_tz":300,"elapsed":6972,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"479fe6cf-1a40-4d66-837f-3598db8bc753"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Creating texts for: Humana\n","Files in: ./plan_docs/Humana\n","H5619071000SB23.pdf\n","https://www.humana-medicare.com/BenefitSummary/2023PDFs/\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]},{"output_type":"stream","name":"stdout","text":["H1036236000SB23.pdf\n","https://www.humana-medicare.com/BenefitSummary/2023PDFs/\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]},{"output_type":"stream","name":"stdout","text":["Creating texts for: Essence\n","Files in: ./plan_docs/Essence\n","2023-EHI-SOBSummaryofBenefitsLOULEX.pdf\n","https://shared.portals.lumeris.io/Document/Download?doc=/2023/EHI/\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 243, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 299, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 417, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 288, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 540, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 211, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 291, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 201, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 570, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 303, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 305, which is longer than the specified 200\n"]}]},{"cell_type":"code","source":["import glob\n","import os\n","\n","dir = './other_docs'\n","\n","meta_dict = {'10050-Medicare-and-You.pdf':{'prefix':'https://www.medicare.gov/publications/',\n"," 'doc_type':'general medicare info', 'company':'CMS'}\n","}\n","\n","mypassages = []\n","mymetadatas = []\n","\n","\n","for pth in glob.glob(f'{dir}/*.pdf'):\n"," fl_pth, fl_nm = os.path.split(pth)\n"," print(fl_nm)\n","\n"," prefx = meta_dict[fl_nm]['prefix']\n"," print(prefx)\n","\n"," with open(pth, 'rb') as f:\n"," pdf_file = PdfReader(f)\n"," for pg, p_obj in enumerate(pdf_file.pages):\n"," # print(pg+1)\n"," p_txt = p_obj.extract_text()\n"," #passages = p_txt.split('\\n')\n"," texts = text_splitter.split_text(p_txt)\n"," for t in texts:\n"," mypassages.append(t)\n"," d = {'doc_type':meta_dict[fl_nm]['doc_type'], 'company':meta_dict[fl_nm]['company'], 'source':fl_nm, 'page': pg+1, 'url':prefx+str(fl_nm)+'#page='+str(pg+1)}\n"," mymetadatas.append(d)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1678815403738,"user_tz":240,"elapsed":9587,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"e4a8c8e8-7148-4d44-ff4c-1981a2779188","id":"grDtG31bJrSs"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["10050-Medicare-and-You.pdf\n","https://www.medicare.gov/publications/\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 240, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 310, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 220, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 274, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 213, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 254, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 244, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 227, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 370, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 203, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 278, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 406, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 285, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 271, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 210, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 234, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 218, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 203, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 208, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 346, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 257, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 262, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 338, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 212, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 428, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 411, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 364, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 283, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 216, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 605, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 328, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 204, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 301, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 261, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 224, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 411, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 404, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 256, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 258, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 296, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 207, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 241, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 288, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 454, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 304, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 317, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 282, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 272, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 231, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 315, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 306, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 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270, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 251, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 294, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 293, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 344, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 526, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 335, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 334, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 322, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 335, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 395, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 363, which is longer than the specified 200\n","WARNING:root:Created a chunk of size 201, which is longer than the specified 200\n"]}]},{"cell_type":"code","source":["mypassages[0]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":36},"id":"fIpaS98ah732","executionInfo":{"status":"ok","timestamp":1678815412512,"user_tz":240,"elapsed":113,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"c5f564de-d183-4c74-ccd2-ec581a1bb8ae"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'2023Medicare\\n& YouThe official U.S. government \\nMedicare handbook'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":18}]},{"cell_type":"code","source":["prefx = 'https://www.humana-medicare.com/BenefitSummary/2023PDFs/'"],"metadata":{"id":"YYsvFS8OidMO"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["mypassages = []\n","mymetadatas = []\n","for pth in glob.glob('./ama_wiki/data/bene_pdf/*.pdf'):\n"," fl_pth, fl_nm = os.path.split(pth)\n"," print(fl_nm)\n"," with open(pth, 'rb') as f:\n"," pdf_file = PdfReader(f)\n"," for pg, p_obj in enumerate(pdf_file.pages):\n"," # print(pg+1)\n"," p_txt = p_obj.extract_text()\n"," #passages = p_txt.split('\\n')\n"," texts = text_splitter.split_text(p_txt)\n"," for t in texts:\n"," mypassages.append(t)\n"," d = {'source':fl_nm, 'page': pg+1, 'url':prefx+str(fl_nm)+'#page='+str(pg+1)}\n"," mymetadatas.append(d)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jwkVTN9Cg0Mm","executionInfo":{"status":"ok","timestamp":1677874033906,"user_tz":300,"elapsed":12818,"user":{"displayName":"Greg Hayworth","userId":"07798746719312628238"}},"outputId":"8a8f9158-f240-4d86-81ce-c7e48fb38feb"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["H5619075000SB23.pdf\n","S5884138000SB23.pdf\n","H1036234000SB23.pdf\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]},{"output_type":"stream","name":"stdout","text":["H1036235000SB23.pdf\n","H5216324000SB23.pdf\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]},{"output_type":"stream","name":"stdout","text":["H5216107000SB23.pdf\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]},{"output_type":"stream","name":"stdout","text":["H1036236000SB23.pdf\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:root:Created a chunk of size 329, which is longer than the specified 200\n"]}]},{"cell_type":"code","source":["myembeddings = bi_encoder.encode(mypassages, convert_to_tensor=True, show_progress_bar=True).tolist()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":49,"referenced_widgets":["5d41e7c4c7cf4eff932b0b7d245003bb","b191e73abc0e4064b146e6b143c27c7f","d232c51e5ff04332abce4e4029616089","812e7ce0577c48ae8d7dc55f35da6a2f","ab0c84ed814548a792a4b8295986ae27","908102cf75904ef68efcd27498b6bd5f","6214ec5f027c4fee8651fdcfa64a3c59","04ec9d98e8c14c97ab8453b5cb7b196f","a6c905aa92614362bff4a874fcb214f8","f7a195fe58934cb487daf4053b97c266","3be5dfec2f674e48ad23cf43624dfd44"]},"id":"UcqhxylOkOup","executionInfo":{"status":"ok","timestamp":1678815495203,"user_tz":240,"elapsed":66377,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"f7f04ac6-d316-46af-c28a-563d3a9ce16e"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["Batches: 0%| | 0/49 [00:00...\" to update what will be committed)\n"," (use \"git restore ...\" to discard changes in working directory)\n","\t\u001b[31mmodified: app.py\u001b[m\n","\t\u001b[31mmodified: data/mychromadb/chroma-collections.parquet\u001b[m\n","\t\u001b[31mmodified: data/mychromadb/chroma-embeddings.parquet\u001b[m\n","\t\u001b[31mmodified: doc_ingest.ipynb\u001b[m\n","\n","Untracked files:\n"," (use \"git add ...\" to include in what will be committed)\n","\t\u001b[31mdata/mychromadb/index/id_to_uuid_7b6e8b13-ff31-4891-860c-8c9cd380651e.pkl\u001b[m\n","\t\u001b[31mdata/mychromadb/index/id_to_uuid_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.pkl\u001b[m\n","\t\u001b[31mdata/mychromadb/index/index_7b6e8b13-ff31-4891-860c-8c9cd380651e.bin\u001b[m\n","\t\u001b[31mdata/mychromadb/index/index_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.bin\u001b[m\n","\t\u001b[31mdata/mychromadb/index/index_metadata_7b6e8b13-ff31-4891-860c-8c9cd380651e.pkl\u001b[m\n","\t\u001b[31mdata/mychromadb/index/index_metadata_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.pkl\u001b[m\n","\t\u001b[31mdata/mychromadb/index/uuid_to_id_7b6e8b13-ff31-4891-860c-8c9cd380651e.pkl\u001b[m\n","\t\u001b[31mdata/mychromadb/index/uuid_to_id_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.pkl\u001b[m\n","\t\u001b[31mplan_docs/\u001b[m\n","\t\u001b[31mplan_metadata.xlsx\u001b[m\n","\t\u001b[31mplans.sqlite\u001b[m\n","\t\u001b[31msales_qa/\u001b[m\n","\n","no changes added to commit (use \"git add\" and/or \"git commit -a\")\n"]}]},{"cell_type":"code","source":["!git add plan_docs/* plan_metadata.xlsx plans.sqlite data/*"],"metadata":{"id":"FTda-h_H1Alo"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["!git status"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"DPq5dAFL5zpr","executionInfo":{"status":"ok","timestamp":1678290413812,"user_tz":300,"elapsed":1494,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"87c910bd-e8d5-4b09-f29a-45737b3edcba"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["On branch main\n","Your branch is up to date with 'origin/main'.\n","\n","Changes to be committed:\n"," (use \"git restore --staged ...\" to unstage)\n","\t\u001b[32mmodified: data/mychromadb/chroma-collections.parquet\u001b[m\n","\t\u001b[32mmodified: data/mychromadb/chroma-embeddings.parquet\u001b[m\n","\t\u001b[32mnew file: data/mychromadb/index/id_to_uuid_7b6e8b13-ff31-4891-860c-8c9cd380651e.pkl\u001b[m\n","\t\u001b[32mnew file: data/mychromadb/index/id_to_uuid_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.pkl\u001b[m\n","\t\u001b[32mnew file: data/mychromadb/index/index_7b6e8b13-ff31-4891-860c-8c9cd380651e.bin\u001b[m\n","\t\u001b[32mnew file: data/mychromadb/index/index_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.bin\u001b[m\n","\t\u001b[32mnew file: data/mychromadb/index/index_metadata_7b6e8b13-ff31-4891-860c-8c9cd380651e.pkl\u001b[m\n","\t\u001b[32mnew file: data/mychromadb/index/index_metadata_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.pkl\u001b[m\n","\t\u001b[32mnew file: data/mychromadb/index/uuid_to_id_7b6e8b13-ff31-4891-860c-8c9cd380651e.pkl\u001b[m\n","\t\u001b[32mnew file: data/mychromadb/index/uuid_to_id_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.pkl\u001b[m\n","\t\u001b[32mnew file: plan_docs/Essence/2023-EHI-SOBSummaryofBenefitsLOULEX.pdf\u001b[m\n","\t\u001b[32mnew file: plan_docs/Humana/H1036236000SB23.pdf\u001b[m\n","\t\u001b[32mnew file: plan_docs/Humana/H5619071000SB23.pdf\u001b[m\n","\t\u001b[32mnew file: plan_metadata.xlsx\u001b[m\n","\t\u001b[32mnew file: plans.sqlite\u001b[m\n","\n","Changes not staged for commit:\n"," (use \"git add ...\" to update what will be committed)\n"," (use \"git restore ...\" to discard changes in working directory)\n","\t\u001b[31mmodified: app.py\u001b[m\n","\t\u001b[31mmodified: doc_ingest.ipynb\u001b[m\n","\n"]}]},{"cell_type":"code","source":["!git config --global user.email \"mabrow05@gmail.com\"\n","!git config --global user.name \"Michael Brown\""],"metadata":{"id":"UnF-t-BC6GiH"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Hugging Face specific creds\n","username = 'mabrow05'\n","huggingface_api_key = ''"],"metadata":{"id":"URTckbOT6GwE"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"RMUzfcY96GyR"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["!git lfs install"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LKfOVikH6G00","executionInfo":{"status":"ok","timestamp":1678291101751,"user_tz":300,"elapsed":1136,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"01abc380-47d8-41a8-bfb5-fd6f33f206da"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Updated git hooks.\n","Git LFS initialized.\n"]}]},{"cell_type":"code","source":["!git commit -am \"Added in essence healthcare plans\""],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kx0fjiBL52He","executionInfo":{"status":"ok","timestamp":1678290523688,"user_tz":300,"elapsed":2668,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"765b2cc7-1340-4fb4-d74a-e4d993a97d98"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["fatal: cannot exec '.git/hooks/post-commit': Permission denied\n","[main cd9ef8e] Added in essence healthcare plans\n"," 17 files changed, 52 insertions(+), 11 deletions(-)\n"," create mode 100644 data/mychromadb/index/id_to_uuid_7b6e8b13-ff31-4891-860c-8c9cd380651e.pkl\n"," create mode 100644 data/mychromadb/index/id_to_uuid_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.pkl\n"," create mode 100644 data/mychromadb/index/index_7b6e8b13-ff31-4891-860c-8c9cd380651e.bin\n"," create mode 100644 data/mychromadb/index/index_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.bin\n"," create mode 100644 data/mychromadb/index/index_metadata_7b6e8b13-ff31-4891-860c-8c9cd380651e.pkl\n"," create mode 100644 data/mychromadb/index/index_metadata_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.pkl\n"," create mode 100644 data/mychromadb/index/uuid_to_id_7b6e8b13-ff31-4891-860c-8c9cd380651e.pkl\n"," create mode 100644 data/mychromadb/index/uuid_to_id_ab5c1c5b-bbc4-43cf-98cc-db6d450fe596.pkl\n"," rewrite doc_ingest.ipynb (77%)\n"," create mode 100644 plan_docs/Essence/2023-EHI-SOBSummaryofBenefitsLOULEX.pdf\n"," create mode 100644 plan_docs/Humana/H1036236000SB23.pdf\n"," create mode 100644 plan_docs/Humana/H5619071000SB23.pdf\n"," create mode 100644 plan_metadata.xlsx\n"," create mode 100644 plans.sqlite\n"]}]},{"cell_type":"code","source":["!git push"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cRWr9pC46Aws","executionInfo":{"status":"ok","timestamp":1678291110666,"user_tz":300,"elapsed":1971,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"d6c12f67-69fd-4a9a-fa59-a507ca190c3d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Uploading LFS objects: 0% (0/1), 0 B | 0 B/s\rbatch response: Repository not found\n","\u001b[31merror: failed to push some refs to 'https://mabrow05: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@huggingface.co/spaces/mabrow05/sales_qa'\n","\u001b[m"]}]},{"cell_type":"code","source":["!ls -la .git/hooks\n","!chmod 777 .git/hooks/*"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Xxh1bl4D6UOr","executionInfo":{"status":"ok","timestamp":1678290945741,"user_tz":300,"elapsed":456,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"2f761004-8eda-4672-9072-263501d8c8e7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["total 24\n","-rw------- 1 root root 478 Mar 7 21:23 applypatch-msg.sample\n","-rw------- 1 root root 896 Mar 7 21:23 commit-msg.sample\n","-rw------- 1 root root 3079 Mar 7 21:23 fsmonitor-watchman.sample\n","-rw------- 1 root root 280 Mar 8 15:46 post-checkout\n","-rw------- 1 root root 276 Mar 8 15:46 post-commit\n","-rw------- 1 root root 274 Mar 8 15:46 post-merge\n","-rw------- 1 root root 189 Mar 7 21:23 post-update.sample\n","-rw------- 1 root root 424 Mar 7 21:23 pre-applypatch.sample\n","-rw------- 1 root root 1638 Mar 7 21:23 pre-commit.sample\n","-rw------- 1 root root 416 Mar 7 21:23 pre-merge-commit.sample\n","-rw------- 1 root root 1492 Mar 7 21:23 prepare-commit-msg.sample\n","-rw------- 1 root root 270 Mar 8 15:46 pre-push\n","-rw------- 1 root root 1348 Mar 7 21:23 pre-push.sample\n","-rw------- 1 root root 4898 Mar 7 21:23 pre-rebase.sample\n","-rw------- 1 root root 544 Mar 7 21:23 pre-receive.sample\n","-rw------- 1 root root 3610 Mar 7 21:23 update.sample\n"]}]},{"cell_type":"code","source":["!ls -la .git/hooks"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3_tchio87eNT","executionInfo":{"status":"ok","timestamp":1678290947967,"user_tz":300,"elapsed":308,"user":{"displayName":"Michael Brown","userId":"08329931526666825911"}},"outputId":"158867cd-548f-4b9b-bc56-346467182d65"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["total 24\n","-rwx------ 1 root root 478 Mar 7 21:23 applypatch-msg.sample\n","-rwx------ 1 root root 896 Mar 7 21:23 commit-msg.sample\n","-rwx------ 1 root root 3079 Mar 7 21:23 fsmonitor-watchman.sample\n","-rwx------ 1 root root 280 Mar 8 15:46 post-checkout\n","-rwx------ 1 root root 276 Mar 8 15:46 post-commit\n","-rwx------ 1 root root 274 Mar 8 15:46 post-merge\n","-rwx------ 1 root root 189 Mar 7 21:23 post-update.sample\n","-rwx------ 1 root root 424 Mar 7 21:23 pre-applypatch.sample\n","-rwx------ 1 root root 1638 Mar 7 21:23 pre-commit.sample\n","-rwx------ 1 root root 416 Mar 7 21:23 pre-merge-commit.sample\n","-rwx------ 1 root root 1492 Mar 7 21:23 prepare-commit-msg.sample\n","-rwx------ 1 root root 270 Mar 8 15:46 pre-push\n","-rwx------ 1 root root 1348 Mar 7 21:23 pre-push.sample\n","-rwx------ 1 root root 4898 Mar 7 21:23 pre-rebase.sample\n","-rwx------ 1 root root 544 Mar 7 21:23 pre-receive.sample\n","-rwx------ 1 root root 3610 Mar 7 21:23 update.sample\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"cXlrq9Vr740w"},"execution_count":null,"outputs":[]}],"metadata":{"colab":{"provenance":[{"file_id":"https://github.com/gfhayworth/ama/blob/main/examples/applications/retrieve_rerank/retrieve_rerank_simple_wikipedia.ipynb","timestamp":1660011228850}]},"kernelspec":{"display_name":"Python 3 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