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-rw-r--r--db2pc.py23
1 files changed, 22 insertions, 1 deletions
diff --git a/db2pc.py b/db2pc.py
index f0d6ba9..5f28167 100644
--- a/db2pc.py
+++ b/db2pc.py
@@ -1,16 +1,37 @@
+import os
+import pinecone
+
from database import *
import pandas as pd
from sentence_transformers import SentenceTransformer
-database_url = "sqlite:///jlm.db"
+from tqdm import tqdm
+database_url = "sqlite:///jlm.db"
engine, Session = init_db_stuff(database_url)
+PINECONE_KEY = os.getenv("PINECONE_API_DEFAULT")
+pinecone.init(api_key=PINECONE_KEY, environment="us-west1-gcp")
+index = pinecone.Index("movies")
+
model = SentenceTransformer("paraphrase-multilingual-MiniLM-L12-v2")
+batch_size = 32
+
df = pd.read_sql("Select * from movies", engine)
df["combined_text"] = df["title"] + ": " + df["overview"].fillna('') + " - " + df["tagline"].fillna('') + " Genres:- " + df["genres"].fillna('')
print(len(df["combined_text"].tolist()))
+for x in tqdm(range(0,len(df),batch_size)):
+ to_send = []
+ trakt_ids = df["trakt_id"][x:x+batch_size].tolist()
+ sentences = df["combined_text"][x:x+batch_size].tolist()
+ embeddings = model.encode(sentences)
+ for idx, value in enumerate(trakt_ids):
+ to_send.append(
+ {
+ value: embeddings[idx]
+ })
+ index.upsert(to_send)