# Evanescere configuration file.
#
# Copy this file to config.toml for local Compose runs:
#
#   cp config.example.toml config.toml
#
# In containers, mount your config to:
#
#   /etc/evanescere/config.toml
#
# Secrets such as DeepSeek and WebDAV credentials belong in your private config.toml.

[app]
# Free-form environment label included in logs.
env = "dev"

# Python logging level: DEBUG, INFO, WARNING, ERROR.
log_level = "DEBUG"

# Enable SQLAlchemy SQL logging. Very noisy; keep false unless debugging DB behavior.
log_sql = false

# Frontend origins allowed to call FastAPI. Include the Vite dev server while developing.
cors_origins = ["http://localhost:3000", "http://localhost:5173"]

[database]
# PostgreSQL connection string used by SQLAlchemy.
# For Compose local-db profile: postgresql+psycopg://evanescere:evanescere@postgres:5432/evanescere
# For an existing DB: postgresql+psycopg://USER:PASSWORD@HOST:5432/DBNAME
url = "postgresql+psycopg://evanescere:evanescere@postgres:5432/evanescere"

[redis]
# Redis URL used by Dramatiq workers.
url = "redis://redis:6379/0"

[storage]
# Container path for working media. Mount a Framework SSD directory here in Compose.
local_root = "/data/evanescere"

[webdav]
# IIS WebDAV directory containing recording files. Point at the collection, not one file.
base_url = "https://windows-server.example.local/webdav/recordings"

# Leave username/password empty if your WebDAV endpoint does not require basic auth.
username = ""
password = ""

# Set false only for trusted internal/self-signed testing.
verify_tls = true

# Scheduler interval. A file becomes stable after two equal positive size samples.
poll_interval_seconds = 60

[funasr]
# FunASR-compatible API base URL. Evanescere calls /audio/transcriptions.
base_url = "http://funasr:10096/v1"

# Optional bearer token for the FunASR service.
api_key = ""

# Model name sent to FunASR. Adjust this to match your deployed service.
model = "paraformer-zh"

[deepseek]
# OpenAI-compatible DeepSeek API base URL.
base_url = "https://api.deepseek.com"

# Required when clip suggestion is enabled.
api_key = ""

# Initial MVP model.
model = "deepseek-v4-pro"

# Lower values improve consistency.
temperature = 0.2

[defaults]
# Initial automatic pipeline settings. These can later be changed through the API/UI.
suggest_enabled = true
render_enabled = true

# For testing, consider false until uploads are wired and verified.
upload_enabled = true

preserve_final_artifacts = true
bake_subtitles = true

[clip]
# LLM clip duration bounds accepted by the backend.
min_seconds = 30
max_seconds = 360

# Transcript seconds per DeepSeek request. Larger chunks use more tokens.
transcript_chunk_seconds = 900

[thumbnail]
# Generate thumbnails during clip render.
enabled = true

# frame_overlay: use extracted video frame as background.
# command: run command below to call a local image generation workflow.
provider = "frame_overlay"

width = 1920
height = 1080

# Optional transparent PNG of the VTuber character.
character_overlay_path = ""

# Character height as a fraction of thumbnail height.
character_scale = 0.42

# Supported: bottom-right, bottom-left, center-right, center-left.
character_position = "bottom-right"

# Draw the clip title onto the final thumbnail.
title_enabled = true

# Used only when provider = "command". Receives JSON on stdin and must write output_path.
command = ""

[upload]
# noop: do not upload, only record what would have happened.
# command: run command below with JSON metadata on stdin.
adapter = "noop"
command = ""