import os
import json
from huggingface_hub import HfApi, hf_hub_download
from huggingface_hub.utils import EntryNotFoundError

DATASET_REPO_ID = "NextGenTech/geneticWFM-activities"

# --- ENVIRONMENT DETECTION ---
# Switch dinamico Dev/Prod basato sull'injection di SPACE_ID da parte del container HF
IS_LOCAL = os.environ.get("SPACE_ID") is None

# Risoluzione dinamica della project root per gestire l'I/O in local fallback
PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
LOCAL_BASE_PATH = os.path.join(PROJECT_ROOT, "data", "activities")

def get_hf_api():
    """Istanzia il client HF sfruttando i secrets di environment."""
    return HfApi(token=os.environ.get("HF_TOKEN"))

def list_activities():
    """
    Discovery dinamica dei workspace operativi.
    Implementa routing Dev (OS Locale) / Prod (HF Datasets API).
    """
    if IS_LOCAL:
        if not os.path.exists(LOCAL_BASE_PATH):
            return []
        return sorted([d for d in os.listdir(LOCAL_BASE_PATH) if os.path.isdir(os.path.join(LOCAL_BASE_PATH, d))])
    
    # --- PROD LOGIC ---
    api = get_hf_api()
    try:
        files = api.list_repo_files(repo_id=DATASET_REPO_ID, repo_type="dataset")
        activities = set()
        for f in files:
            parts = f.split("/")
            if len(parts) > 2 and parts[0] == "activities":
                activities.add(parts[1])
        return sorted(list(activities))
    except Exception as e:
        print(f"[ERROR] Discovery attività fallita sul layer HF: {e}")
        return []

def load_json(activity_name, filename):
    """
    I/O Read: Deserializzazione del payload JSON.
    """
    if IS_LOCAL:
        path = os.path.join(LOCAL_BASE_PATH, activity_name, filename)
        if os.path.exists(path):
            with open(path, 'r') as f:
                return json.load(f)
        return None

    # --- PROD LOGIC ---
    repo_path = f"activities/{activity_name}/{filename}"
    try:
        downloaded_path = hf_hub_download(
            repo_id=DATASET_REPO_ID,
            repo_type="dataset",
            filename=repo_path,
            token=os.environ.get("HF_TOKEN")
        )
        with open(downloaded_path, 'r') as f:
            return json.load(f)
    except EntryNotFoundError:
        # Silenziamo l'errore se il file semplicemente non esiste ancora
        return None
    except Exception as e:
        print(f"[ERROR] API Download fallito per {repo_path}: {e}")
        return None

def save_json(activity_name, filename, data):
    """
    I/O Write: Serializzazione su disco e successiva replica su object storage.
    """
    if IS_LOCAL:
        path = os.path.join(LOCAL_BASE_PATH, activity_name, filename)
        os.makedirs(os.path.dirname(path), exist_ok=True)
        with open(path, 'w') as f:
            json.dump(data, f, indent=2)
        return

    # --- PROD LOGIC ---
    repo_path = f"activities/{activity_name}/{filename}"
    local_tmp_path = f"/tmp/{activity_name}_{filename}"
    
    # Scrittura su layer effimero del container (/tmp)
    os.makedirs(os.path.dirname(local_tmp_path), exist_ok=True)
    with open(local_tmp_path, 'w') as f:
        json.dump(data, f, indent=2)
        
    api = get_hf_api()
    api.upload_file(
        path_or_fileobj=local_tmp_path,
        path_in_repo=repo_path,
        repo_id=DATASET_REPO_ID,
        repo_type="dataset",
        commit_message=f"Sync {filename} -> {activity_name}"
    )

def upload_new_scenario(activity_name, activity_conf, employees, weekly_demand):
    """
    Commit massivo (atomic push) di un nuovo scenario generato.
    Evita commit parziali raggruppando Config, Anagrafica e Demand.
    """
    if IS_LOCAL:
        base_path = os.path.join(LOCAL_BASE_PATH, activity_name)
        os.makedirs(base_path, exist_ok=True)
        with open(os.path.join(base_path, "activity_config.json"), 'w') as f:
            json.dump(activity_conf, f, indent=2)
        with open(os.path.join(base_path, "employees.json"), 'w') as f:
            json.dump(employees, f, indent=2)
        with open(os.path.join(base_path, "demand.json"), 'w') as f:
            json.dump(weekly_demand, f, indent=2)
        return

    # --- PROD LOGIC ---
    api = get_hf_api()
    local_dir = f"/tmp/activities/{activity_name}"
    os.makedirs(local_dir, exist_ok=True)
    
    # Scrittura layer effimero
    with open(os.path.join(local_dir, "activity_config.json"), 'w') as f:
        json.dump(activity_conf, f, indent=2)
    with open(os.path.join(local_dir, "employees.json"), 'w') as f:
        json.dump(employees, f, indent=2)
    with open(os.path.join(local_dir, "demand.json"), 'w') as f:
        json.dump(weekly_demand, f, indent=2)
        
    # Push massivo della cartella temporanea
    api.upload_folder(
        folder_path=local_dir,
        path_in_repo=f"activities/{activity_name}",
        repo_id=DATASET_REPO_ID,
        repo_type="dataset",
        commit_message=f"Init workspace: {activity_name}"
    )