# Standard import
import ast
import datetime
import os, yaml
import pickle
# Django imports
from django.forms.models import model_to_dict
from user_mgmt.models import PyrosUser, ScientificProgram, Period
from seq_submit.models import Sequence, Album, Plan
from .forms import SequenceForm, PlanForm   #, AlbumForm
from django.db import IntegrityError, transaction
# Project imports
from src.core.pyros_django.obs_config.obsconfig_class import OBSConfig
from django.http import HttpRequest
from dashboard.config_pyros import ConfigPyros
# guitastro import
import vendor.guitastro.src.guitastro as guitastro 
#from silk.profiling.profiler import silk_profile

import numpy

#@silk_profile(name="check_sequence_file")
@transaction.atomic
def check_sequence_file_validity_and_save(yaml_content: dict, request: HttpRequest):
    ''' Create a sequence in DB from the uploaded sequence (yaml_content) '''

    # Create a sequence seq object (from yaml_content) to be saved in DB
    seq = Sequence.objects.create()
    seq.pyros_user = PyrosUser.objects.get(id=request.user.id)
    
    # Get the unit config
    unit_name = os.environ["unit_name"]
    #with silk_profile(name="init obsconfig"):
    config = OBSConfig(os.environ["PATH_TO_OBSCONF_FILE"], unit_name)
    result = {
        "succeed": True,
        "errors": [],
    }
    # Get boolean to simplified to know if the file is written in simplified mode (i.e. : Each field of the form is directly associated to its value)
    is_simplified = yaml_content.get("simplified", False)
    # Get scientific programs for the user who is submitting the sequence file
    user_sp = request.user.get_scientific_programs()

    process_sequence(yaml_content, seq, config, is_simplified, result, user_sp)
    process_albums(yaml_content, result, config, seq, is_simplified)

        
    # optim possible ?
    #[ process_plans(a["Album"].get("Plans")) for a in albums_from_file ]
    # Puis écrire la fonction process_plans()

    # For each Album a (in file)
    # Tu itères 2 fois sur albums_from_file, y aurait pas moyen d'iterer 1 seule fois dessus ?
    #for album in yaml_content["sequence"]["ALBUMS"]:
    """
    # Old


    for album in albums_from_file:

        album = album["Album"]
        plans = album.get("Plans")
        # If no plan has been defined
        if plans == None:
            result["errors"].append(f"Album {album['name']} has no plans. Please add at least one plan")
            # pour eviter le else (plus lisible)
            continue
        plans = [a["Album"].get("Plans") for a in albums_from_file]
        process_plans(plans, result, is_simplified, config, album, seq)
        # For each plan p (in album a)
        for plan in plans:
            new_plan_object = Plan.objects.create(album=Album.objects.get(name=album["name"], sequence=seq), complete=True)
            new_plan_object.config_attributes = {}
            plan = plan["Plan"]
            config_attributes = {}
            plan_form = PlanForm(data_from_config=config.getEditableChannelAttributes(config.unit_name,list(config.get_channels(config.unit_name).keys())[0]),edited_plan=None)
            # Process each plan field
            for field in plan_form.fields:
                plan_field = plan[field]
                '''
                min_value = None
                max_value = None
                value_type = None
                '''
                min_value = max_value = value_type = None
                if field not in plan.keys():
                    result["errors"].append(f"Missing field : '{field}' for plan {plans.index(plan)}")
                    continue
                # TODO : ajouter max_value, min_value, suppression plan et album si invalides
                if not is_simplified:
                    if plan_field.get("value_type"):
                        value_type = plan_field["value_type"]
                        if type(plan_field["value"]) == str and ast.literal_eval(plan_field["value"]) != value_type:
                            result["errors"].append(f"Field {field} value doesn't correspond to the assigned type (type required : {value_type})")
                    if plan_field.get("min_value"):
                        min_value = plan_field["min_value"]
                        if type(min_value) == str:
                            min_value = ast.literal_eval(min_value)
                        '''
                        if type(plan_field["min_value"]) == str:
                            min_value = ast.literal_eval(plan_field["min_value"])
                        else:
                            min_value = plan_field["min_value"]
                        '''
                    if plan_field.get("max_value"):
                        max_value = plan_field["max_value"]
                        if type(max_value) == str:
                            max_value = ast.literal_eval(max_value)
                        '''
                        if type(plan_field.get("max_value")) == str:
                            max_value = ast.literal_eval(plan_field["max_value"])
                        else:
                            max_value = plan_field["max_value"]
                        '''
                if field == "nb_images":
                    new_plan_object.__dict__[field] = plan_field if is_simplified else plan_field["value"]
                    '''
                    if is_simplified:
                        new_plan_object.__dict__[field] = plan_field    
                    else:
                        new_plan_object.__dict__[field] = plan_field["value"]
                    '''
                else:
                    # shortcut possible ?
                    #new_plan_object_field = new_plan_object.config_attributes[field]
                    if is_simplified:
                        new_plan_object.config_attributes[field] = plan_field
                    else:
                        if plan_field.get("values"):
                            index_value = plan_field["value"]
                            values =  plan_field["values"]
                            if index_value < 0 or index_value > len(plan_field["values"]):
                                result["errors"].append(f"Value of Plan field '{field}' isn't valid, index out of bounds ({index_value} > {len(values)})")
                                index_value = 0
                            value = plan_field["values"][index_value]
                            try:
                                # linked values
                                splitted_values = value.split(";")
                                config_attributes[field] = {}
                                for splitted_value in splitted_values:
                                    subkey,subvalue = splitted_value.split(":")
                                    config_attributes[field][subkey] = ast.literal_eval(subvalue)
                            # vaudrait mieux préciser l'exception ici
                            except:
                                # Do nothing, normal string
                                config_attributes[field] = ast.literal_eval(value)
                            new_plan_object.config_attributes[field] = config_attributes[field]
                        else:
                            if max_value and min_value:
                                if plan_field["value"] > max_value:
                                    result["errors"].append(f"Plan field {field} doesn't respect max value")
                                if plan_field["value"] < min_value:
                                    result["errors"].append(f"Plan field {field} doesn't respect min value")
                            new_plan_object.config_attributes[field] = plan_field["value"]
            # end foreach plan field
            new_plan_object.save()
        # end foreach plan
    # end foreach album
    """

    seq.status = Sequence.TOBEPLANNED
    seq.complete = True
    period = Period.objects.exploitation_period()
    if Period.objects.next_period() != None and Period.objects.next_period().start_date < seq.start_date.date():
        period = Period.objects.next_period()
    seq.period = period
    fn = guitastro.FileNames()
    home = config.getHome()
    guitastro_home = guitastro.Home(home)
    fn.longitude = guitastro_home.longitude
    seq.night_id = fn.get_night(seq.start_date.isoformat()[:19])
    try:
        seq.save()
    except IntegrityError as e:
        result["errors"].append(str(e))
    if len(result["errors"]) > 0:
        result["succeed"] = False
        seq.delete()
    else:
        result["sequence_id"] = seq.id
    return result

def process_albums(yaml_content, result, config, seq, is_simplified):
    # Create ALBUMS
    albums_from_file = yaml_content["sequence"]["ALBUMS"] 
    chosen_layout = seq.config_attributes["layout"]
    if type(chosen_layout) == int:
        #with silk_profile(name="Get layout from config"):
        layouts = config.get_layouts(config.unit_name)["layouts"]
        chosen_layout = list(layouts)[chosen_layout]
    # Get album of the selected layout
    #with silk_profile(name="Get album of layout from config"):
    layout_albums = config.getLayoutByName(unit_name=config.unit_name, name_of_layout=chosen_layout)["ALBUMS"]
    
    # check if we have all the albums of that layout described in the sequence file
    #with silk_profile(name="Iterate on each album & plan (create)"):
    if len(layout_albums) == len(albums_from_file):
        for album in albums_from_file:
            album = album["Album"]
            if album["name"] not in layout_albums:
                result["errors"].append(f"Album {album['name']} is not in the chosen layout. The available albums on this layout are : {layout_albums}")
            else:
                # Create album 
                Album.objects.create(name=album["name"], sequence=seq, complete=True)
            # Create plan for that album
            plans = album.get("Plans")
            process_plans(plans, result, is_simplified, config, album, seq)
    else:
        result["errors"].append(f"The number of albums doesn't correspond to the chosen layout")


#@silk_profile(name="process_plans")
def process_plans(plans: dict, result: dict, is_simplified: bool, config: OBSConfig, album: dict, seq: dict):
    if plans == None:
        result["errors"].append(f"Album {album['name']} has no plans. Please add at least one plan")
        # exit function
        return None
    for plan in plans:
        #new_plan_object = Plan.objects.create(album=Album.objects.get(name=album["name"], sequence=seq), complete=True)
        #new_plan_object.config_attributes = {}
        plan = plan["Plan"]
        nb_images = 0
        config_attributes = {}
        #with silk_profile(name="Create plan form"):
        plan_form = PlanForm(data_from_config=config.getEditableChannelAttributes(config.unit_name, list(config.get_channels(config.unit_name).keys())[0]), edited_plan=None)
        # Process each plan field
        #with silk_profile(name="iterate on plan fields"):
        for field in plan_form.fields:
            plan_field = plan[field]
            '''
            min_value = None
            max_value = None
            value_type = None
            '''
            if field == "nb_images":
                nb_images = plan_field if is_simplified else plan_field["value"]
            else:
                process_plan_field(result, config_attributes, plan_field, field, plans, plan, is_simplified)                    
        # end foreach plan field
        try:
            Plan.objects.create(album=Album.objects.get(name=album["name"], sequence=seq), complete=True, nb_images=nb_images, config_attributes=config_attributes)
        except Album.DoesNotExist:
            result["errors"].append(f"Album {album['name']} not appearing in obsconfig. Please refer to the observatory configuration to set a valid album name. ")
def process_plan_field(result, config_attributes, plan_field, field, plans, plan, is_simplified):

    
    if field not in plan.keys():
        result["errors"].append(f"Missing field : '{field}' for plan {plans.index(plan)}")
        # exit function
        return None
    if is_simplified:
        #new_plan_object.config_attributes[field] = plan_field
        config_attributes[field] = plan_field
    else:
        value_type, min_value, max_value = prepare_check_plan_field_value(plan_field, field, result)
        check_and_set_plan_field_value(config_attributes, plan_field, field, result, value_type, min_value, max_value)

        
def check_and_set_plan_field_value(config_attributes, plan_field, field, result, value_type, min_value, max_value):
    # if the value is a index of a list, get the value from this index
    if plan_field.get("values"):
        index_value = plan_field["value"]
        values =  plan_field["values"]
        if index_value < 0 or index_value > len(plan_field["values"]):
            result["errors"].append(f"Value of Plan field '{field}' isn't valid, index out of bounds ({index_value} > {len(values)})")
            index_value = 0
        value = plan_field["values"][index_value]
        try:
            # linked values
            splitted_values = value.split(";")
            config_attributes[field] = {}
            for splitted_value in splitted_values:
                subkey,subvalue = splitted_value.split(":")
                config_attributes[field][subkey] = ast.literal_eval(subvalue)
        # vaudrait mieux préciser l'exception ici
        except ValueError:
            # Do nothing, normal string
            config_attributes[field] = ast.literal_eval(value)
        #new_plan_object.config_attributes[field] = config_attributes[field]
    else:
        # check min and max values if they exist
        if max_value and min_value:
            if plan_field["value"] > max_value:
                result["errors"].append(f"Plan field {field} doesn't respect max value")
            if plan_field["value"] < min_value:
                result["errors"].append(f"Plan field {field} doesn't respect min value")
        #new_plan_object.config_attributes[field] = plan_field["value"]
        config_attributes[field] = plan_field["value"]


def prepare_check_plan_field_value(plan_field, field, result):
    min_value = max_value = value_type = None
    # get value type, min_value and max_value if they're in the plan form
    if plan_field.get("value_type"):
        value_type = plan_field["value_type"]
        # If value type doesn't match with the value from the form, add an error to result
        if type(plan_field["value"]) == str and ast.literal_eval(plan_field["value"]) != value_type:
            result["errors"].append(f"Field {field} value doesn't correspond to the assigned type (type required : {value_type})")
    if plan_field.get("min_value"):
        min_value = plan_field["min_value"]
        if type(min_value) == str:
            min_value = ast.literal_eval(min_value)
    if plan_field.get("max_value"):
        max_value = plan_field["max_value"]
        if type(max_value) == str:
            max_value = ast.literal_eval(max_value)
    return value_type, min_value, max_value


def process_sequence(yaml_content, seq, config, is_simplified, result, user_sp):
    
    # From user sp, get all SP that can observe / submit sequence for the current period
    sp_list = ScientificProgram.objects.observable_programs().filter(id__in=user_sp)
    # Create a Sequence form
    sequence_form = SequenceForm(instance=seq, data_from_config=config.getEditableMountAttributes(config.unit_name), layouts = config.get_layouts(config.unit_name), sp_list=sp_list)

    if is_simplified:
        seq.scientific_program = sp_list[yaml_content["sequence"]["scientific_program"]]    
    else:
        # get scientific program field's attributes 
        yaml_seq_sp = yaml_content["sequence"]["scientific_program"]
        sp_index_value = yaml_seq_sp["value"]
        values =  yaml_seq_sp["values"]
        # Check if index of sp is valid (in range of possible index from values)
        if sp_index_value < 0 or sp_index_value > len(values):
            result["errors"].append(f"SP value isn't valid, index out of bounds ({sp_index_value} > {len(values)})")
            sp_index_value = 0
        chosen_sp = ScientificProgram.objects.get(name=values[sp_index_value])
        # If the sp is associated to that user, associate the sp to the sequence
        if chosen_sp in sp_list:
            #seq.scientific_program = ScientificProgram.objects.get(name=yaml_content["sequence"]["scientific_program"]["values"][sp_index_value])
            seq.scientific_program = chosen_sp
        else:
            result["errors"].append(f"SP {chosen_sp.name} is not assigned to that user ")
    
    seq.config_attributes = {}

    # Fill all Sequence form fields
    #with silk_profile(name="iterate sequence fields form"):
    for field, field_attributes in sequence_form.fields.items():
        #if sequence_form.fields[field].required == False or field == "scientific_program":
        if not field_attributes.required or field=="scientific_program":
            continue
        # pour lisibilité, simplicité et éviter redondance
        yaml_field = yaml_content["sequence"][field]
        value = yaml_field if is_simplified else yaml_field["value"]
        
        ''' (orig)
        if is_simplified:
            value = yaml_content["sequence"][field]
        else:
            value = yaml_content["sequence"][field]["value"]
        '''
        # If the current field of the sequence isn't found in the file, add an error message to inform the user the missing field
        if field not in yaml_content["sequence"]:
            result["errors"].append(f"{field} not in yaml file")
        else:
            if is_simplified:
                # If the field is a choicefield, get choices and associate the index to the real value
                if sequence_form.fields[field].__dict__.get("_choices"):
                    # y a pas conflit ici avec la variable "value" définie au-dessus ? -> Non car on transforme l'ancien value qui est un index en une vraie valeur
                    values = [value[0] for value in sequence_form.fields[field].__dict__.get("_choices")]
                    value = values[value]
                # Transform the string value to a datetime value
                if field == "start_date":
                    if type(value) != datetime.datetime:
                        #value = datetime.datetime.strptime(yaml_content["sequence"][field]["value"],'%d/%m/%Y %H:%M:%S')
                        # ISO format
                        value = datetime.datetime.strptime(value, '%Y-%m-%dT%H:%M:%S.%f')
                        seq.__dict__[field] = value
            else:
                if yaml_field.get("values"):
                    # Transform the original value which is an index to a "real" value from the "values" attributes
                    index_value = yaml_field["value"]
                    values = yaml_field["values"]
                    if index_value < 0 or index_value > len(yaml_field["values"]):
                        result["errors"].append(f"Value of {field} isn't valid, index out of bounds ({index_value} > {len(values)})")
                        index_value = 0
                    value = yaml_field["values"][index_value]
                else:
                    # Transform the string value to a datetime value
                    if field == "start_date":
                        if type(value) != datetime.datetime:
                            #value = datetime.datetime.strptime(yaml_content["sequence"][field]["value"],'%d/%m/%Y %H:%M:%S')
                            # ISO format
                            value = datetime.datetime.strptime(value, '%Y-%m-%dT%H:%M:%S.%f')
                            seq.__dict__[field] = value
        ''' (orig)
        else:
            if not is_simplified:
                if yaml_content["sequence"][field].get("values"):
                    index_value = yaml_content["sequence"][field]["value"]
                    values =  yaml_content["sequence"][field]["values"]
                    if index_value < 0 or index_value > len(yaml_content["sequence"][field]["values"]):
                        result["errors"].append(f"Value of {field} isn't valid, index out of bounds ({index_value} > {len(values)})")
                        index_value = 0
                    value = yaml_content["sequence"][field]["values"][index_value]
                else:
                    if field == "start_date":
                        if type(value) != datetime.datetime:
                            #value = datetime.datetime.strptime(yaml_content["sequence"][field]["value"],'%d/%m/%Y %H:%M:%S')
                            # ISO format
                            value = datetime.datetime.strptime(value, '%Y-%m-%dT%H:%M:%S.%f')
                            seq.__dict__[field] = value
            else:
                if sequence_form.fields[field].__dict__.get("_choices"):
                    values = [value[0] for value in sequence_form.fields[field].__dict__.get("_choices")]
                    value = values[value]
        '''

        # suffisant ? => if field in seq.__dict__
        # If field is an attribute of the sequence, associate the field to the value
        if field in seq.__dict__:
            seq.__dict__[field] = value
        else:
            # else associate field & value in config_attributes sequence's field (JsonField) = variable fields of an sequence
            seq.config_attributes[field] = value


def create_sequence_pickle(sequence):
    seq_dict = model_to_dict(sequence)
    fullseq_dict = {
        "sequence":seq_dict,
        "albums": {}
    }
    for album in sequence.albums.all():
        fullseq_dict["albums"][album.name] = {"plans" : []}
        for plan in album.plans.all():
            fullseq_dict["albums"][f"{album.name}"]["plans"].append(model_to_dict(instance=plan))
    period = sequence.period
    # Old folder & file creation
    # root_project_path = os.environ.get("PROJECT_ROOT_PATH")
    # data_path = root_project_path + "/data/"
    # if not os.path.exists(data_path + "sequences_pickle"):
    #     os.mkdir(data_path +"sequences_pickle")
    # if not os.path.exists(data_path + f"sequences_pickle/P{period.id}"):
    #     os.mkdir(data_path + f"sequences_pickle/P{period.id}")
    # if not os.path.exists(data_path +f"sequences_pickle/P{period.id}/{sequence.night_id}"):
    #     os.mkdir(data_path +f"sequences_pickle/P{period.id}/{sequence.night_id}")
    # seq_pickle_file_name = data_path +f"./sequences_pickle/P{period.id}/{sequence.night_id}/{sequence.id}.p"
    # get guitastro ephemeris
    unit_name = os.environ["unit_name"]
    config = OBSConfig(os.environ["PATH_TO_OBSCONF_FILE"], unit_name)
    pyros_config = ConfigPyros(os.environ["pyros_config_file"])
    config.fn.fcontext = "pyros_seq"
    # home = guitastro.Home(config.getHome())
    # config.fn.longitude = home.longitude
    period_id = str(period.id)
    if len(str(period.id)) < 3:
        while len(period_id) < 3:
            period_id = "0" + period_id
    fn_param = {
        "period" : f"P{period_id}",
        "version": "1",
        "unit": config.unit_name,
        "date": sequence.night_id,
        "id_seq": sequence.id
    }
    config.fn.fname = config.fn.naming_set(fn_param)
    fpath_name = config.fn.join(config.fn.fname)
    # create dirs if they don't exist
    os.makedirs(os.path.dirname(fpath_name), exist_ok=True)
    print(fpath_name)
    eph = guitastro.Ephemeris()
    eph.set_home(config.getHome())
    # duskelev a parametrer dans obsconfig (yml)
    duskelev = -7
    errors = []
    try:
        # TODO remplacer les none par les fichiers pickle de ephem_sun & ephem_moon
        #fullseq_dict["ephem"] = eph.target2night(fullseq_dict["sequence"]["config_attributes"]["target"], sequence.night_id, None, None, preferance=sequence.start_expo_pref, duskelev=duskelev)
        ephem = eph.target2night(fullseq_dict["sequence"]["config_attributes"]["target"], sequence.night_id, None, None, preference=sequence.start_expo_pref, duskelev=duskelev)
    except ValueError:
        errors.append("Target value is not valid")
    except guitastro.ephemeris.EphemerisException as ephemException:
        errors.append(str(ephemException))
    if len(errors) == 0 and numpy.sum(ephem["visibility"]) == 0 :
        errors.append("Target is not visible.")
    if len(errors) == 0:
        pickle.dump(ephem, open(f"{fpath_name[:-2]}.f","wb"))
        pickle.dump(fullseq_dict, open(fpath_name,"wb"))
    return errors