# %% [code]
import base64
import gzip
import os
import os.path as osp
import sys
from pathlib import Path
from typing import Dict


MODELS_ROOT = "/kaggle/input/gwd-models"
WHEELS_ROOT = "/kaggle/input/mmdetection-wheels"
INPUT_ROOT = "/kaggle/input/global-wheat-detection"
KAGGLE_WORKING = "/kaggle/working"

# this is base64 encoded source code
file_data: Dict = {'gwd/select_anchors.py': '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', 'gwd/test.py': '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', 'gwd/wbf.py': 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'gwd/submit.py': 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'gwd/__init__.py': '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', 'gwd/analyze_logs.py': 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2hUgTDokKQ87rFae1eVZ/SGUoPXq9C+LghfLadvNoyXTyNO/aouLGq72Z5LRPC+UlaqSqvtSG3H+fxfCN3YgQ63ci0js1wSyweaV55B6hLAbBm1K1miv8xPP2S4Jn/P21KBvzyiXTy754MPLC7vhZLc/VAZ/aRVb/AiV3h0YlSwAA', 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', 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', 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', 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', 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'configs/efficientdet/tf_efficientdet_d5.py': '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'}

for path, encoded in file_data.items():
    path = Path(KAGGLE_WORKING) / path
    print(path)
    path.parent.mkdir(parents=True, exist_ok=True)
    path.write_bytes(gzip.decompress(base64.b64decode(encoded)))


def run(command):
    os.system(f"export PYTHONPATH=${{PYTHONPATH}}:{KAGGLE_WORKING} && " + command)


run(f"python {KAGGLE_WORKING}/setup.py develop")
sys.path.append(KAGGLE_WORKING)

for wheel_name in [
    "addict-2.2.1-py3-none-any.whl",
    "mmcv-0.6.2-cp37-cp37m-linux_x86_64.whl",
    "terminal-0.4.0-py3-none-any.whl",
    "terminaltables-3.1.0-py3-none-any.whl",
    "pycocotools-12.0-cp37-cp37m-linux_x86_64.whl",
    "mmdet-2.2.0cdfc6a1-cp37-cp37m-linux_x86_64.whl",
    "ensemble_boxes-1.0.0-py3-none-any.whl",
]:
    wheel_path = osp.join(WHEELS_ROOT, wheel_name)
    run(f"pip install {wheel_path}")

from gwd import submit, train, test, wbf  # noqa E402
from gwd.converters import kaggle2coco, images2coco  # noqa E402

CONFIG_DETECTORS = osp.join(KAGGLE_WORKING, "configs/detectors/detectors_r50_ga_mstrain_stage2.py")
CHECKPOINT_DETECTORS = osp.join(MODELS_ROOT, "detectors_r50_ga_mstrain_stage2_epoch_5.pth")
CHECKPOINT_UNIVERSE = osp.join(MODELS_ROOT, "universe_r101_gfl_mstrain_stage1_epoch_11.pth")
IMG_PREFIX = osp.join(INPUT_ROOT, "test")
ANN_FILE = "coco_test_images.json"
PSEUDO_PATH = f"{KAGGLE_WORKING}/coco_pseudo_test.json"
PSEUDO_SCORE_THRESHOLD = 0.75
PSEUDO_CONFIDENCE_THRESHOLD = 0.6
SUBMISSION_PATH = "submission.csv"

# make pseudo prediction
submit.main(
    img_prefix=IMG_PREFIX,
    configs=[CONFIG_DETECTORS],
    checkpoints=[CHECKPOINT_DETECTORS],
    submission_path=f"detectors_{SUBMISSION_PATH}",
    ann_file=ANN_FILE,
    pseudo_path=PSEUDO_PATH,
    pseudo_score_threshold=PSEUDO_SCORE_THRESHOLD,
    pseudo_confidence_threshold=PSEUDO_CONFIDENCE_THRESHOLD,
    flip=True,
    format_only=True,
    weights=None,
    iou_thr=None,
    score_thr=None,
)

# convert train samples to COCO
kaggle2coco.main(
    annotation_path=f"{INPUT_ROOT}/train.csv",
    output_path=f"{KAGGLE_WORKING}/coco_train.json",
    exclude_sources=["usask_1", "ethz_1"],
)

if len(os.listdir(IMG_PREFIX)) == 10:
    PSEUDO_CONFIG_DETECTORS = f"{KAGGLE_WORKING}/configs/detectors/detectors_r50_ga_mstrain_public_pseudo.py"
    PSEUDO_CONFIG_UNIVERSE = f"{KAGGLE_WORKING}/configs/universe_r101_gfl/universe_r101_gfl_mstrain_public_pseudo.py"
else:
    PSEUDO_CONFIG_DETECTORS = f"{KAGGLE_WORKING}/configs/detectors/detectors_r50_ga_mstrain_private_pseudo.py"
    PSEUDO_CONFIG_UNIVERSE = f"{KAGGLE_WORKING}/configs/universe_r101_gfl/universe_r101_gfl_mstrain_private_pseudo.py"

# retrain DetectoRS
run(
    f"python {KAGGLE_WORKING}/gwd/train.py "
    f"--config {PSEUDO_CONFIG_DETECTORS} "
    "--no-validate "
    f"--load-from {CHECKPOINT_DETECTORS} "
    f"--work-dir {KAGGLE_WORKING}/pseudo_detectors"
)
detectors_predictions, test_dataset = test.main(
    config=PSEUDO_CONFIG_DETECTORS,
    checkpoint=f"{KAGGLE_WORKING}/pseudo_detectors/latest.pth",
    img_prefix=IMG_PREFIX,
    ann_file=ANN_FILE,
    flip=True,
    format_only=True,
    options=dict(output_path=f"pseudo_detectors_{SUBMISSION_PATH}"),
)
test_dataset.pseudo_results(
    results=detectors_predictions,
    output_path=PSEUDO_PATH,
    pseudo_score_threshold=PSEUDO_SCORE_THRESHOLD,
    pseudo_confidence_threshold=PSEUDO_CONFIDENCE_THRESHOLD
)

# retrain UniverseNet
run(
    f"python {KAGGLE_WORKING}/gwd/train.py "
    f"--config {PSEUDO_CONFIG_UNIVERSE} "
    "--no-validate "
    f"--load-from {CHECKPOINT_UNIVERSE} "
    f"--work-dir {KAGGLE_WORKING}/pseudo_universe"
)
universe_predictions, test_dataset = test.main(
    config=PSEUDO_CONFIG_UNIVERSE,
    checkpoint=f"{KAGGLE_WORKING}/pseudo_universe/latest.pth",
    img_prefix=IMG_PREFIX,
    ann_file=ANN_FILE,
    flip=True,
    format_only=True,
    options=dict(output_path=f"pseudo_universe_{SUBMISSION_PATH}"),
)
ensemble_predictions = wbf.main(
    [detectors_predictions, universe_predictions], weights=[0.65, 0.35], iou_thr=0.55, score_thr=0.45
)
test_dataset.format_results(results=ensemble_predictions, output_path=SUBMISSION_PATH)
