Files
codex-py/.env.example
Tarik Moussa 53c40f6da2 chore: interne Host-Adresse durch generischen Hostnamen ersetzt
Ersetzt die private LAN-IP des Jetson durch jetson.local in Doku,
Shell-Skripten, .env.example und Docstrings. Funktional betroffen ist
nur ein os.environ.setdefault-Fallback im Spike; gesetzte Env-Vars
(OLLAMA_BASE_URL, GROBID_URL) haben weiterhin Vorrang. uv.lock bleibt
unveraendert (enthaelt Versionsnummern, keine Adressen).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-31 00:51:27 +02:00

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# Copy this file to .env and fill in your values.
# Never commit .env to version control.
# PostgreSQL connection string (psycopg / asyncpg format)
# Example: postgresql://researcher:change_me@localhost:5432/papers
DATABASE_URL=postgresql://researcher:change_me@localhost:5432/papers
# Optional: privileged connection used by `codex migrate` to apply schema DDL.
# The app DATABASE_URL is often a least-privilege DML role that cannot CREATE/
# ALTER owner-held tables; point this at an owner/superuser connection.
# Falls back to DATABASE_URL when unset.
# MIGRATION_DATABASE_URL=postgresql://postgres:change_me@localhost:5432/papers
# GROBID service base URL (containerised — see infra/docker-compose.yml)
GROBID_URL=http://localhost:8070
# Ollama base URL for optional local LLM Q&A layer
OLLAMA_BASE_URL=http://localhost:11434
# Sentence-transformers model for dense embeddings.
# BGE-M3 (BAAI/bge-m3) produces 1024-dimensional vectors and supports
# dense + sparse (hybrid) retrieval. Change together with EMBEDDING_DIM.
EMBEDDING_MODEL=BAAI/bge-m3
# Dimension of the embedding vectors. Must match EMBEDDING_MODEL output.
# BGE-M3 = 1024 | Jina v4 = 2048 | Qwen3-Embedding-0.6B = 1024
EMBEDDING_DIM=1024
# E-mail address for the OpenAlex Polite Pool (faster rate limits).
# Required by OpenAlex ToS when making automated requests.
OPENALEX_MAILTO=you@example.com
# Nougat HTTP-Server (Jetson: http://jetson.local:8080 | lokal: http://localhost:8080)
# Used by `codex ingest <id> --rich` for full-PDF Mathpix Markdown output.
NOUGAT_URL=http://localhost:8080
# F-16 Chunk Quality Gate thresholds (all optional — defaults shown)
CHUNK_MIN_CHARS=60 # Discard chunks shorter than this many characters
CHUNK_MIN_ALPHA_RATIO=0.40 # Discard chunks with < 40% alphabetic characters
CHUNK_MAX_BIB_SCORE=0.70 # Discard chunks scoring above this bibliography threshold