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import os
import pathlib
import shutil
from docgenie import ENV
from docgenie.generation.constants import HANDWRITING_DEFAULT_BATCH_SIZE
from docgenie.generation.models import LLMType, DatasetTask
from docgenie.generation.models import PipelineParameters, SynDatasetDefinition
from docgenie.data.interface import load_dataset
from docgenie.generation.pipeline_01_select_seeds import pipeline_select_seeds
from docgenie.generation.pipeline_02_prompt_llm import (
pipeline_retrieve_document_html_seed_based,
)
from docgenie.generation.pipeline_03_process_response import (
pipeline_process_response_extract_html_and_gt,
)
from docgenie.generation.pipeline_04_render_pdf_and_extract_geos import (
pipeline_render_pdf_and_extract_geos_parallel,
)
from docgenie.generation.pipeline_05_extract_bboxes_from_pdf import (
pipeline_extract_bboxes,
)
from docgenie.generation.pipeline_06_extract_layout_element_definitions_and_annotation_gt import (
pipeline_extract_layout_element_definitions_and_annotation_gt,
)
from docgenie.generation.pipeline_08_extract_visual_element_definitions import (
pipeline_extract_visual_element_definitions,
)
from docgenie.generation.pipeline_07_extract_handwriting import (
pipeline_extract_handwritten_fields,
)
from docgenie.generation.pipeline_09_create_handwriting_images import (
pipeline_create_handwriting_images,
)
from docgenie.generation.pipeline_11_render_pdf_second_pass import (
pipeline_render_pdf_second_pass,
)
from docgenie.generation.pipeline_12_insert_handwriting_images import (
pipeline_handwritten_text_insertion,
)
from docgenie.generation.pipeline_10_create_visual_elements import (
pipeline_create_visual_elements,
)
from docgenie.generation.pipeline_13_insert_visual_elements import (
pipeline_insert_visual_elements,
)
from docgenie.generation.pipeline_16_normalize_bboxes import pipeline_normalize_bboxes
from docgenie.generation.pipeline_15_perform_ocr import (
pipeline_perform_ocr,
)
from docgenie.generation.pipeline_14_render_image import (
pipeline_render_image,
)
from docgenie.generation.pipeline_17_gt_preparation_verification import (
pipeline_ground_truth_verification,
)
from docgenie.generation.pipeline_19_create_debug_data import pipeline_create_debug_data
from docgenie.generation.pipeline_18_analyze import pipeline_analyze
def parse_args():
parser = argparse.ArgumentParser(
description="DocGenie Synthetic Document Generator",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"SynDatasetDefinition",
type=str,
help="Filename without extension of the SynDatasetDefinition in data/syn_dataset_definitions",
)
parser.add_argument(
"--reset",
"-r",
action="store_true",
help="If set, all previous data is deleted prior to execution, except: prompt batches, prompt responses and seed images.",
)
parser.add_argument(
"--entry",
"-e",
type=int,
default=None,
help="If set, starts the pipeline at this step",
)
# parser.add_argument(
# "--docids",
# type=str,
# default=None,
# help="Define document ids to which restrict the pipeline",
# )
parser.add_argument(
"--hwbs",
type=int,
default=HANDWRITING_DEFAULT_BATCH_SIZE,
help="Handwriting batch size",
)
parser.add_argument(
"--nohw",
action="store_true",
help="Runs the pipeline without creating handwriting",
)
parser.add_argument(
"--debug",
action="store_true",
help="Runs the pipeline and creates debug data",
)
parser.add_argument(
"--seedsonly",
"-s",
action="store_true",
help="If set, the pipeline only collects seed images and then aborts",
)
parser.add_argument(
"--apikey",
type=str,
default=None,
help="If given, use the env variable with this name to retrieve the anthropic API key",
)
parser.add_argument(
"--LLMType",
type=str,
choices=[e.value for e in LLMType],
default=LLMType.CLAUDE.value,
help="Define the whether to use closed source model or open source (currently just Qwen2.5-32B)",
)
parser.add_argument(
"--message_custom_id",
type=str,
default=None,
help="If specified, the pipeline is run only for this message and ignores existing results.",
)
args = parser.parse_args()
args.LLMType = LLMType(args.LLMType)
assert args.SynDatasetDefinition
if args.apikey:
assert os.getenv(args.apikey)
print(f"Using Anthropic API Key from {args.apikey}")
print(args)
return args
if __name__ == "__main__":
args = parse_args()
deffile = ENV.SYN_DATA_DEFINITIONS_DIR / f"{args.SynDatasetDefinition}.yaml"
dsdef: SynDatasetDefinition = SynDatasetDefinition.from_file(deffile)
dsfiles = dsdef.get_file_structure()
input('PRESS KEY')
if args.reset:
print(f"""Parameter --reset has been passed. All existing data from {dsdef.name} will be deleted, except:
- {dsfiles.prompt_batches_directory}
- {dsfiles.message_results_directory}
- {dsfiles.ocr_results_directory}
- {dsfiles.preprocessed_seed_images_directory}
""")
dsdef.reset_data_except_prompt_and_seeds()
dataset = load_dataset(dsdef.base_dataset_name, split="train")
print(f"The LLM will be used is: {args.LLMType}")
# Copy used syn dataset defintion to output directory
dst = dsfiles.base_path / f"{args.SynDatasetDefinition}.yaml"
shutil.copy2(deffile, dst)
params = PipelineParameters(
dsdef=dsdef,
llmtype=args.LLMType,
message_custom_id=args.message_custom_id,
seedsonly=args.seedsonly,
debug=args.debug,
handwriting_batch_size=args.hwbs,
generate_handwriting=not args.nohw,
api_key_env_variable_name=args.apikey,
)
entry = args.entry or 0
# Execute pipeline
if entry <= 1:
pipeline_select_seeds(params=params)
if args.seedsonly:
exit(0)
if entry <= 2:
pipeline_retrieve_document_html_seed_based(params=params)
if entry <= 3:
pipeline_process_response_extract_html_and_gt(params=params)
if entry <= 4:
pipeline_render_pdf_and_extract_geos_parallel(params=params)
if entry <= 5:
pipeline_extract_bboxes(params=params)
if entry <= 6:
if dsdef.prompt_task == "annotation":
pipeline_extract_layout_element_definitions_and_annotation_gt(params=params)
if entry <= 7:
pipeline_extract_handwritten_fields(params=params)
if entry <= 8:
pipeline_extract_visual_element_definitions(params=params)
if entry <= 9:
pipeline_create_handwriting_images(params=params)
if entry <= 10:
pipeline_create_visual_elements(params=params)
if entry <= 11:
pipeline_render_pdf_second_pass(params=params)
if entry <= 12:
pipeline_handwritten_text_insertion(params=params)
if entry <= 13:
pipeline_insert_visual_elements(params=params)
if entry <= 14:
pipeline_render_image(params=params)
if entry <= 15:
pipeline_perform_ocr(params=params)
if entry <= 16:
pipeline_normalize_bboxes(params=params)
if entry <= 17:
pipeline_ground_truth_verification(params=params)
if entry <= 18:
pipeline_analyze(params=params)
if entry <= 19 and params.debug:
pipeline_create_debug_data(params=params)
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