SEED_IMAGE_MAX_WIDTH: int = 500
SEED_IMAGE_QUALITY: int = 80

PIPELINE_01_RETRIEVE_DOCUMENT_HTML__PROMPT_BATCH_MAX_SIZE = 50
PIPELINE_01_RETRIEVE_DOCUMENT_HTML__PROMPT_BATCH_POLL_SLEEP_SECONDS_BETWEEN_BATCH = 5
PIPELINE_01_RETRIEVE_DOCUMENT_HTML__PROMPT_BATCH_POLL_SLEEP_SECONDS_BETWEEN_ITERATION = 5
PIPELINE_06_GT_VERIFICATION__GT_SIMILARITY_CUTOFF = 0.75

PIPELINE_03_RENDER_PDF__MAX_WORKERS = 8
PIPELINE_03_RENDER_PDF__CHROMIUM_CONCURRENCY = 10
PIPELINE_03_RENDER_PDF__PER_PDF_RENDER_TIMEOUT = 30
PIPELINE_03_RENDER_PDF__PER_PDF_RENDER_MAX_RETRIES = 2

BS_PARSER = "lxml"  # "html.parser"

PIPELINE_06_EXTRACT_HANDWRITING__MAX_WORD_LEN = -1
PIPELINE_04_3_SCALE_UP_FACTOR = 3

# bboxes read from pdf (and probably also those retrieved via OCR) dont fit exactly into the geo extracted via javascript
BBOX_TO_GEO_MATCHING_THRESHOLD = 25

IMAGE_RENDER_EXT = "png"

HANDWRITING_DEFAULT_BATCH_SIZE = 256
HANDWRITING_CLASS_NAME = "handwritten"
SIGNATURE_CLASS_NAME = "signature"
HANDWRITING_FONT_SIZE = "26"

FIXED_HANDWRITING_X_OFFSET = (
    2  # place all handwritten text 2px to the right to look better
)
MAX_HANDWRITING_RAND_X_OFFSET_LEFT = 1
MAX_HANDWRITING_RAND_X_OFFSET_RIGHT = 2
MAX_HANDWRITING_RAND_Y_OFFSET_UP = 1
MAX_HANDWRITING_RAND_Y_OFFSET_DOWN = 2
MAX_HANDWRITING_RAND_DEG_ROT = 1

PDF_DPI = 200

WRITER_STYLES = [
    404,
    347,
    156,
    253,
    354,
    166,
    320,
]

# VISUAL_ELEMENT_TYPES = ["stamp", "logo", "barcode", "photo", "chart"]
VISUAL_ELEMENT_TYPES = ["stamp", "logo", "figure", "barcode", "photo"]
VISUAL_ELEMENT_TYPE_SYNONYMS = {
    "chart": "figure",
    "diagram": "figure",
    "plot": "figure",
    "graph": "figure",
    "illustration": "figure",
    "infographic": "figure",
    "image": "photo",
    "seal": "stamp",
}