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removed cohere dependency , update codes . (#261)
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@@ -113,5 +113,4 @@ reportlab==3.6.13 | |
easygui==0.98.3 | ||
xhtml2pdf==0.2.11 | ||
fastembed~=0.2.2 | ||
cohere==5.3.2 | ||
qdrant-client==1.8.2 |
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@@ -0,0 +1,226 @@ | ||
{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"id": "initial_id", | ||
"metadata": { | ||
"collapsed": true, | ||
"ExecuteTime": { | ||
"end_time": "2024-05-14T22:31:25.398358Z", | ||
"start_time": "2024-05-14T22:31:22.567855Z" | ||
} | ||
}, | ||
"source": [ | ||
"import json\n", | ||
"import logging\n", | ||
"import os\n", | ||
"\n", | ||
"import yaml\n", | ||
"from qdrant_client import QdrantClient\n", | ||
"from scripts.utils.logger import init_logging_config\n" | ||
], | ||
"outputs": [ | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"\u001B[32m2024-05-14 15:31:22.994\u001B[0m | \u001B[33m\u001B[1mWARNING \u001B[0m | \u001B[36mfastembed.embedding\u001B[0m:\u001B[36m<module>\u001B[0m:\u001B[36m7\u001B[0m - \u001B[33m\u001B[1mDefaultEmbedding, FlagEmbedding, JinaEmbedding are deprecated.Use from fastembed import TextEmbedding instead.\u001B[0m\n" | ||
] | ||
} | ||
], | ||
"execution_count": 1 | ||
}, | ||
{ | ||
"metadata": { | ||
"ExecuteTime": { | ||
"end_time": "2024-05-14T22:31:28.571615Z", | ||
"start_time": "2024-05-14T22:31:28.569033Z" | ||
} | ||
}, | ||
"cell_type": "code", | ||
"source": [ | ||
"init_logging_config(basic_log_level=logging.INFO)\n", | ||
"# Get the logger\n", | ||
"logger = logging.getLogger(__name__)\n", | ||
"\n", | ||
"# Set the logging level\n", | ||
"logger.setLevel(logging.INFO)" | ||
], | ||
"id": "a69d1b16785bf17b", | ||
"outputs": [], | ||
"execution_count": 2 | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"def find_path(folder_name):\n", | ||
" curr_dir = os.getcwd()\n", | ||
" while True:\n", | ||
" if folder_name in os.listdir(curr_dir):\n", | ||
" return os.path.join(curr_dir, folder_name)\n", | ||
" else:\n", | ||
" parent_dir = os.path.dirname(curr_dir)\n", | ||
" if parent_dir == \"/\":\n", | ||
" break\n", | ||
" curr_dir = parent_dir\n", | ||
" raise ValueError(f\"Folder '{folder_name}' not found.\")\n", | ||
"\n", | ||
"\n", | ||
"def read_config(filepath):\n", | ||
" try:\n", | ||
" with open(filepath) as f:\n", | ||
" config = yaml.safe_load(f)\n", | ||
" return config\n", | ||
" except FileNotFoundError as e:\n", | ||
" logger.error(f\"Configuration file {filepath} not found: {e}\")\n", | ||
" except yaml.YAMLError as e:\n", | ||
" logger.error(\n", | ||
" f\"Error parsing YAML in configuration file {filepath}: {e}\", exc_info=True\n", | ||
" )\n", | ||
" except Exception as e:\n", | ||
" logger.error(f\"Error reading configuration file {filepath}: {e}\")\n", | ||
" return None\n", | ||
"\n", | ||
"\n", | ||
"def read_doc(path):\n", | ||
" with open(path) as f:\n", | ||
" try:\n", | ||
" data = json.load(f)\n", | ||
" except Exception as e:\n", | ||
" logger.error(f\"Error reading JSON file: {e}\")\n", | ||
" data = {}\n", | ||
" return data\n" | ||
], | ||
"metadata": { | ||
"collapsed": false, | ||
"ExecuteTime": { | ||
"end_time": "2024-05-14T22:31:31.783421Z", | ||
"start_time": "2024-05-14T22:31:31.763842Z" | ||
} | ||
}, | ||
"id": "899904f870d3f720", | ||
"outputs": [], | ||
"execution_count": 3 | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"def get_score(resume_string, job_description_string):\n", | ||
" logger.info(\"Started getting similarity score\")\n", | ||
"\n", | ||
" documents = [resume_string]\n", | ||
" client = QdrantClient(\":memory:\")\n", | ||
" client.set_model(\"BAAI/bge-base-en\")\n", | ||
"\n", | ||
" client.add(\n", | ||
" collection_name=\"demo_collection\",\n", | ||
" documents=documents,\n", | ||
" )\n", | ||
"\n", | ||
" search_result = client.query(\n", | ||
" collection_name=\"demo_collection\", query_text=job_description_string\n", | ||
" )\n", | ||
" logger.info(\"Finished getting similarity score\")\n", | ||
" return search_result" | ||
], | ||
"metadata": { | ||
"collapsed": false, | ||
"ExecuteTime": { | ||
"end_time": "2024-05-14T22:31:33.976354Z", | ||
"start_time": "2024-05-14T22:31:33.972943Z" | ||
} | ||
}, | ||
"id": "c54a86727f436747", | ||
"outputs": [], | ||
"execution_count": 4 | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"cwd = find_path('Resume-Matcher')\n", | ||
"READ_RESUME_FROM = os.path.join(cwd, 'Data', 'Processed', 'Resumes')\n", | ||
"READ_JOB_DESCRIPTION_FROM = os.path.join(cwd, 'Data', 'Processed', 'JobDescription')\n", | ||
"config_path = os.path.join(cwd, \"scripts\", \"similarity\")" | ||
], | ||
"metadata": { | ||
"collapsed": false, | ||
"ExecuteTime": { | ||
"end_time": "2024-05-14T22:31:40.945947Z", | ||
"start_time": "2024-05-14T22:31:40.934732Z" | ||
} | ||
}, | ||
"id": "ae15b96094e7c460", | ||
"outputs": [], | ||
"execution_count": 5 | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"# To give your custom resume use this code\n", | ||
"resume_dict = read_config(\n", | ||
" READ_RESUME_FROM\n", | ||
" + \"/Resume-alfred_pennyworth_pm.pdf83632b66-5cce-4322-a3c6-895ff7e3dd96.json\"\n", | ||
")\n", | ||
"job_dict = read_config(\n", | ||
" READ_JOB_DESCRIPTION_FROM\n", | ||
" + \"/JobDescription-job_desc_product_manager.pdf6763dc68-12ff-4b32-b652-ccee195de071.json\"\n", | ||
")\n", | ||
"resume_keywords = resume_dict[\"extracted_keywords\"]\n", | ||
"job_description_keywords = job_dict[\"extracted_keywords\"]\n", | ||
"\n", | ||
"resume_string = \" \".join(resume_keywords)\n", | ||
"jd_string = \" \".join(job_description_keywords)\n", | ||
"final_result = get_score(resume_string, jd_string)\n", | ||
"for r in final_result:\n", | ||
" print(r.score)" | ||
], | ||
"metadata": { | ||
"collapsed": false, | ||
"ExecuteTime": { | ||
"end_time": "2024-05-14T22:32:29.666678Z", | ||
"start_time": "2024-05-14T22:32:28.781841Z" | ||
} | ||
}, | ||
"id": "2f531db076cc1f59", | ||
"outputs": [ | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"\u001B[32;10m2024-05-14 15:32:28,825 (1835371807.py:2) - INFO: \u001B[0mStarted getting similarity score\n", | ||
"\u001B[32;10m2024-05-14 15:32:29,664 (1835371807.py:16) - INFO: \u001B[0mFinished getting similarity score\n" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"0.8572231574198962\n" | ||
] | ||
} | ||
], | ||
"execution_count": 6 | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 2 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython2", | ||
"version": "2.7.6" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |