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import pandas as pd | |
import chromadb | |
import uuid | |
class Portfolio: | |
def __init__(self, file_path="app/resource/my_portfolio.csv"): | |
self.file_path = file_path | |
self.data = pd.read_csv(file_path) | |
self.chroma_client = chromadb.PersistentClient('vectorstore') | |
self.collection = self.chroma_client.get_or_create_collection(name="portfolio") | |
def load_portfolio(self): | |
if not self.collection.count(): | |
for _, row in self.data.iterrows(): | |
self.collection.add(documents=row["Techstack"], | |
metadatas={"links": row["Links"]}, | |
ids=[str(uuid.uuid4())]) | |
def query_links(self, skills): | |
return self.collection.query(query_texts=skills, n_results=2).get('metadatas', []) | |