fix: make docker compose build and start the API

The image context was backend/, so COPY frontend/ failed. Build from the
repo root, place Python modules on the import path, and pin packages that
exist on PyPI. The web process no longer loads the LLM at startup.

backend/scripts/index_books.py

@@ -1,51 +1,67 @@
-from app.services.pdf_processor import PDFProcessor
-from app.utils.embeddings import EmbeddingService
-from app.utils.schedule_manager import ScheduleManager
-import os
 import json
+import os
+import uuid
+
+from app.services.pdf_processor import PDFProcessor
+from app.services.rag_service import QdrantService
+from app.utils.embeddings import EmbeddingService
+
+
+def book_dirs() -> list[str]:
+    paths = [
+        os.getenv("BOOKS_DIR", "/app/books"),
+        os.getenv("UPLOAD_DIR", "/app/uploads"),
+    ]
+    seen = []
+    for path in paths:
+        if path and path not in seen and os.path.isdir(path):
+            seen.append(path)
+    return seen
+
 
 def main():
-    # Setup services
     embedding_service = EmbeddingService()
     pdf_processor = PDFProcessor(embedding_service)
+    qdrant = QdrantService(os.getenv("QDRANT_URL", "http://qdrant:6333"))
 
-    # Load books from PDF directory
-    pdf_dir = "/app/uploads"
-    books = os.listdir(pdf_dir)
-    books = [f for f in books if f.endswith('.pdf')]
+    books = []
+    for directory in book_dirs():
+        for name in sorted(os.listdir(directory)):
+            if name.lower().endswith(".pdf"):
+                books.append(os.path.join(directory, name))
 
     print(f"Found {len(books)} books")
+    os.makedirs(os.getenv("INDEX_DIR", "/app/index"), exist_ok=True)
 
-    # Schedule manager
-    schedule_manager = ScheduleManager("/app/schedules.json")
-
-    # Process each book
-    for book_name in books:
-        book_path = os.path.join(pdf_dir, book_name)
+    for book_path in books:
+        book_name = os.path.basename(book_path)
         book_metadata = {
             "title": book_name.replace(".pdf", "").replace("-", " ").replace("_", " "),
             "author": "Desconhecido",
             "type": "book",
         }
-
         print(f"Processing: {book_name}")
-
-        # Load and split PDF
         chunks = pdf_processor.load_and_split(book_path, book_metadata)
-
-        # Embed chunks
         chunks_with_embeddings = pdf_processor.embed_chunks(chunks)
+        for chunk in chunks_with_embeddings:
+            chunk["id"] = str(uuid.uuid4())
 
-        # Save chunks to JSON for reference
-        chunks_file = f"/app/index/{book_name}.json"
-        os.makedirs("/app/index", exist_ok=True)
+        qdrant.add_chunks(chunks_with_embeddings)
 
-        with open(chunks_file, 'w') as f:
-            json.dump(chunks_with_embeddings, f, indent=2)
-
-        print(f"Saved {len(chunks)} chunks to {chunks_file}")
+        chunks_file = os.path.join(os.getenv("INDEX_DIR", "/app/index"), f"{book_name}.json")
+        with open(chunks_file, "w", encoding="utf-8") as handle:
+            json.dump(
+                [
+                    {"content": chunk["content"], "metadata": chunk["metadata"]}
+                    for chunk in chunks_with_embeddings
+                ],
+                handle,
+                ensure_ascii=False,
+            )
+        print(f"Indexed {len(chunks_with_embeddings)} chunks from {book_name}")
 
     print("Indexing complete!")
 
+
 if __name__ == "__main__":
     main()