from __future__ import annotations

from typing import List, Tuple

MODEL_NAMES = {
    'Random': 'Random vectors',
    'Random-ESM2-8': r'$Random ESM2_{8M}$',
    'Random-ESM2-35': r'$Random ESM2_{35M}$',
    'Random-ESM2-150': r'$Random ESM2_{150M}$',
    'Random-ESM2-650': r'$Random ESM2_{650M}$',
    'Random-Transformer': 'Random Transformer',
    'ESM2-8': r'$ESM2_{8M}$',
    'ESM2-35': r'$ESM2_{35M}$',
    'ESM2-150': r'$ESM2_{150M}$',
    'ESM2-650': r'$ESM2_{650M}$',
    'ESM2-3B': r'$ESM2_{3B}$',
    'ESM2-diff-150': r'$ESM2_{diff-150M}$',
    'ESM2-diffAV-150': r'$ESM2_{diffAV-150M}$',
    'ESMC-300': r'$ESMC_{300M}$',
    'ESMC-600': r'$ESMC_{600M}$',
    'E1-150': r'$E1_{150M}$',
    'E1-300': r'$E1_{300M}$',
    'E1-600': r'$E1_{600M}$',
    'ProtBert': r'$ProtBert_{420M}$',
    'ProtBert-BFD': r'$ProtBert_{BFD}$',
    'ProtT5': r'ProtT5-enc$_{3B}$',
    'ProtT5-XL-UniRef50-full-prec': r'ProtT5-XL$_{UniRef50}$',
    'ProtT5-XXL-UniRef50': r'ProtT5-XXL$_{UniRef50}$',
    'ProtT5-XL-BFD': r'ProtT5-XL$_{BFD}$',
    'ProtT5-XXL-BFD': r'ProtT5-XXL$_{BFD}$',
    'ANKH-Base': r'ANKH-Base$_{400M}$',
    'ANKH-Large': r'ANKH-Large$_{1.2B}$',
    'ANKH2-Large': r'ANKH2-Large$_{1.2B}$',
    'DSM-150': r'$DSM_{150M}$',
    'DSM-650': r'$DSM_{650M}$',
    'DSM-PPI': r'$DSM_{PPI}$',
    'GLM2-150': r'$GLM2_{150M}$',
    'GLM2-650': r'$GLM2_{650M}$',
    'GLM2-GAIA': r'$GLM2_{GAIA}$',
    'DPLM-150': r'$DPLM_{150M}$',
    'DPLM-650': r'$DPLM_{650M}$',
    'DPLM-3B': r'$DPLM_{3B}$',
    'ProtCLM-1b': r'$ProtCLM_{1B}$',
    'OneHot-Protein': 'OneHot Protein',
    'OneHot-DNA': 'OneHot DNA',
    'OneHot-RNA': 'OneHot RNA',
    'OneHot-Codon': 'OneHot Codon',
    'AMPLIFY-120': r'$AMPLIFY_{120M}$',
    'AMPLIFY-350': r'$AMPLIFY_{350M}$',
}

DATASET_NAMES = {
    # Gene Ontology and Enzyme Commission
    'EC': 'EC',
    'EC_reg': 'EC',
    'GO-CC': r'$GO_{CC}$',
    'CC_reg': r'$GO_{CC}$',
    'GO-BP': r'$GO_{BP}$',
    'BP_reg': r'$GO_{BP}$',
    'GO-MF': r'$GO_{MF}$',
    'MF_reg': r'$GO_{MF}$',

    # Basic protein properties
    'MB': 'MB',
    'MB_reg': 'MB',
    'DeepLoc-2': r'$DL_{2}$',
    'DL2_reg': r'$DL_{2}$',
    'DeepLoc-10': r'$DL_{10}$',
    'DL10_reg': r'$DL_{10}$',
    'Subcellular': 'Subcellular',
    'SL_13': 'Subcellular',
    'enzyme-kcat': r'$k_{cat}$',
    'enzyme_kcat': r'$k_{cat}$',
    'solubility': 'solubility',
    'solubility_prediction': 'solubility',
    'localization': 'localization',
    'localization_prediction': 'localization',
    'temperature-stability': 'temperature stability',
    'temperature_stability': 'temperature stability',
    'optimal-temperature': 'optimal temperature',
    'optimal_temperature': 'optimal temperature',
    'optimal-ph': 'optimal pH',
    'optimal_ph': 'optimal pH',
    'material-production': 'material production',
    'material_production': 'material production',
    'fitness-prediction': 'fitness',
    'fitness_prediction': 'fitness',
    'number-of-folds': 'folds',
    'fold_prediction': 'folds',
    'cloning-clf': 'cloning-clf',
    'cloning_clf': 'cloning-clf',
    'stability-prediction': 'stability',
    'stability_prediction': 'stability',
    'ec-active': r'$EC_{singlelabel}$',
    'ec_active': r'$EC_{singlelabel}$',
    'ecoli_expression': 'E. coli expression',
    'soluprot': 'soluprot',
    'KSMoFinder-clustered': r'$KSMoFinder_{clustered}$',
    'ksmo_clustered': r'$KSMoFinder_{clustered}$',
    'KSMoFinder': 'KSMoFinder',
    'KSmo_fixed': 'KSMoFinder',

    # Protein-protein interactions
    'human-ppi-saprot': r'$Human-PPI_{saprot}$',
    'HPPI': r'$Human-PPI_{saprot}$',
    'human-ppi-pinui': r'$Human-PPI_{PiNUI}$',
    'HPPI_PiNUI': r'$Human-PPI_{PiNUI}$',
    'yeast-ppi-pinui': r'$Yeast-PPI_{PiNUI}$',
    'YPPI_PiNUI': r'$Yeast-PPI_{PiNUI}$',
    'peptide-HLA-MHC-affinity': 'peptide HLA MHC affinity',
    'peptide_HLA_MHC_affinity_ppi': 'peptide HLA MHC affinity',
    'shs27-ppi-raw': r'$SHS_{27k-raw}-ppi$',
    'SHS27k': r'$SHS_{27k-raw}-ppi$',
    'shs148-ppi-raw': r'$SHS_{148k-raw}-ppi$',
    'SHS148k': r'$SHS_{148k-raw}-ppi$',
    'shs27-ppi-random': r'$SHS_{27k-random}-ppi$',
    'shs148-ppi-random': r'$SHS_{148k-random}-ppi$',
    'shs27-ppi-dfs': r'$SHS_{27k-dfs}-ppi$',
    'shs148-ppi-dfs': r'$SHS_{148k-dfs}-ppi$',
    'shs27-ppi-bfs': r'$SHS_{27k-bfs}-ppi$',
    'shs148-ppi-bfs': r'$SHS_{148k-bfs}-ppi$',
    'string-ppi-random': r'$STRING_{random-ppi}$',
    'string-ppi-dfs': r'$STRING_{dfs-ppi}$',
    'string-ppi-bfs': r'$STRING_{bfs-ppi}$',
    'ppi_SHS148k_bfs_2025': r'$SHS_{148k-bfs}-ppi$',
    'ppi_SHS148k_dfs_2025': r'$SHS_{148k-dfs}-ppi$',
    'ppi_SHS27k_bfs_2025': r'$SHS_{27k-bfs}-ppi$',
    'ppi_SHS27k_dfs_2025': r'$SHS_{27k-dfs}-ppi$',
    'ppi_SHS27k_random_2025': r'$SHS_{27k-random}-ppi$',
    'ppi_SHS148k_random_2025': r'$SHS_{148k-random}-ppi$',
    'ppi_STRING_random_2025': r'$STRING_{random}-ppi$',
    'ppi_STRING_dfs_2025': r'$STRING_{dfs}-ppi$',
    'ppi_STRING_bfs_2025': r'$STRING_{bfs}-ppi$',
    'gold-ppi': r'$Human PPI_{bernett}$',
    'bernett_gold_ppi': r'$Human PPI_{bernett}$',
    'plm-interact': r'$PLM-Interact_{human / cross}$',
    'plm_interact_human_train_cross_ppi': r'$PLM-Interact_{human / cross}$',
    'ppi-mutation-effect': r'$PPI_{mutation effect}$',
    'ppi_mutation_effect': r'$PPI_{mutation effect}$',
    'PPA-ppi': r'$PPA_{PPI}$',
    'ppi_affinity': r'$PPA_{PPI}$',
    'ProteinProteinAffinity': 'PPI binding affinity',

    # Secondary structure
    'SecondaryStructure-3': r'$SS_{3}$',
    'SecondaryStructure-8': r'$SS_{8}$',
    'SS3': r'$SS_{3}$',
    'SS8': r'$SS_{8}$',

    # "Fitness"
    'fluorescence-prediction': 'fluorescence',
    'fluorescence_prediction': 'fluorescence',
    'millionfull_round_1_oct_2025': r'$AtOMT1_{millionfull}$',
    'million_full': r'$AtOMT1_{millionfull}$',

    # Special datasets
    'plastic': r'$plastic degradation_{benchmark}$',
    'plastic_degradation_benchmark': r'$plastic degradation_{benchmark}$',
    'foldseek-fold': 'foldseek fold',
    'foldseek-inverse': 'foldseek inverse',
    'foldseek_dataset': 'foldseek',
    'bernett_processed': r'$Bernett_{processed}$',

    # ProteinGym datasets
    'proteingym_zs': r'$ProteinGym_{zero-shot}$',
    'proteingym_supervised': r'$ProteinGym_{supervised}$',

    # Taxonomic datasets
    'taxonomy_domain': r'$taxonomy_{domain}$',
    'taxonomy_kingdom': r'$taxonomy_{kingdom}$',
    'taxonomy_phylum': r'$taxonomy_{phylum}$',
    'taxonomy_class': r'$taxonomy_{class}$',
    'taxonomy_order': r'$taxonomy_{order}$',
    'taxonomy_family': r'$taxonomy_{family}$',
    'taxonomy_genus': r'$taxonomy_{genus}$',
    'taxonomy_species': r'$taxonomy_{species}$',
    'diff_phylogeny': r'$taxonomy_{different}$',
    'diff_phylo': r'$taxonomy_{different}$',
    'taxonomy_domain_0.4_clusters': r'$taxonomy_{domain}$',
    'taxonomy_kingdom_0.4_clusters': r'$taxonomy_{kingdom}$',
    'taxonomy_phylum_0.4_clusters': r'$taxonomy_{phylum}$',
    'taxonomy_class_0.4_clusters': r'$taxonomy_{class}$',
    'taxonomy_order_0.4_clusters': r'$taxonomy_{order}$',
    'taxonomy_family_0.4_clusters': r'$taxonomy_{family}$',
    'taxonomy_genus_0.4_clusters': r'$taxonomy_{genus}$',
    'taxonomy_species_0.4_clusters': r'$taxonomy_{species}$',
    'taxon_domain': r'$taxonomy_{domain}$',
    'taxon_kingdom': r'$taxonomy_{kingdom}$',
    'taxon_phylum': r'$taxonomy_{phylum}$',
    'taxon_class': r'$taxonomy_{class}$',
    'taxon_order': r'$taxonomy_{order}$',
    'taxon_family': r'$taxonomy_{family}$',
    'taxon_genus': r'$taxonomy_{genus}$',
    'taxon_species': r'$taxonomy_{species}$',

    # Other datasets
    'plddt': r'$pLDDT_{AlphaFold2}$',
    'af2_plddt': r'$pLDDT_{AlphaFold2}$',
    'realness': r'$Realness_{dataset}$',
    'realness_dataset': r'$Realness_{dataset}$',
}

CLS_PREFS: List[Tuple[str, str]] = [
    ("f1", "F1"),
    ("mcc", "MCC"),
    ("accuracy", "Accuracy"),
]

REG_PREFS: List[Tuple[str, str]] = [
    ("spearman", "Spearman rho"),
    ("r_squared", "R²"),
    ("pearson", "Pearson r"),
]