dierk
1c5e00d8e4
- embedder.py: lazy model load rationale, RGB conversion, shared vector space
- main.py: why vec appears twice, ::vector cast, 1-distance score formula
- main_oracle.py: why array.array("f") is required instead of plain list
- main_oracle_indb.py: no embedder import — embedding done inside Oracle SQL
- index_images_oracle.py: same array.array requirement on indexing path
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
import os
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import array
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from fastapi import FastAPI, Query
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import FileResponse
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from fastapi.staticfiles import StaticFiles
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from dotenv import load_dotenv
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from db_oracle import get_connection
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from embedder import embed_text
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load_dotenv()
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PHOTOS_DIR = os.getenv("PHOTOS_DIR")
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FRONTEND_DIR = os.path.join(os.path.dirname(__file__), "../../oravector-demo/frontend")
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app = FastAPI()
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app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
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app.mount("/ui", StaticFiles(directory=os.path.abspath(FRONTEND_DIR), html=True), name="ui")
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@app.get("/search")
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def search(q: str = Query(...), limit: int = Query(12)):
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# oracledb rejects a plain Python list for a VECTOR column.
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# array.array("f") produces a typed 32-bit float buffer that matches VECTOR(512, FLOAT32).
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vec = array.array("f", embed_text(q))
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conn = get_connection()
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cur = conn.cursor()
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cur.execute(
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"""
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SELECT filename, 1 - VECTOR_DISTANCE(embedding, :vec, COSINE) AS score
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FROM images
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ORDER BY VECTOR_DISTANCE(embedding, :vec, COSINE)
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FETCH FIRST :lim ROWS ONLY
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""",
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{"vec": vec, "lim": limit},
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)
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rows = cur.fetchall()
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cur.close()
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conn.close()
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return [{"filename": r[0], "score": round(r[1], 4)} for r in rows]
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@app.get("/stats")
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def stats():
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conn = get_connection()
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cur = conn.cursor()
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cur.execute("SELECT COUNT(*) FROM images")
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count = cur.fetchone()[0]
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cur.close()
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conn.close()
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return {"count": count}
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@app.get("/photos/{filename}")
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def get_photo(filename: str):
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path = os.path.join(PHOTOS_DIR, filename)
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return FileResponse(path, media_type="image/jpeg")
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