Flag pour bloquer calcul moyenne generale BUT + reimplemente flag blocage moyennes
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@ -219,6 +219,7 @@ def compute_ue_moys_apc(
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modimpl_inscr_df: pd.DataFrame,
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modimpl_coefs_df: pd.DataFrame,
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modimpl_mask: np.array,
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block: bool = False,
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) -> pd.DataFrame:
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"""Calcul de la moyenne d'UE en mode APC (BUT).
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La moyenne d'UE est un nombre (note/20), ou NaN si pas de notes disponibles
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@ -234,13 +235,13 @@ def compute_ue_moys_apc(
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modimpl_mask: liste de booléens, indiquants le module doit être pris ou pas.
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(utilisé pour éliminer les bonus, et pourra servir à cacluler
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sur des sous-ensembles de modules)
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block: si vrai, ne calcule rien et renvoie des NaNs
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Résultat: DataFrame columns UE (sans bonus), rows etudid
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"""
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nb_etuds, nb_modules, nb_ues_no_bonus = sem_cube.shape
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nb_ues_tot = len(ues)
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assert len(modimpls) == nb_modules
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if nb_modules == 0 or nb_etuds == 0 or nb_ues_no_bonus == 0:
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if block or nb_modules == 0 or nb_etuds == 0 or nb_ues_no_bonus == 0:
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return pd.DataFrame(
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index=modimpl_inscr_df.index, columns=modimpl_coefs_df.index
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)
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@ -291,6 +292,7 @@ def compute_ue_moys_classic(
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modimpl_inscr_df: pd.DataFrame,
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modimpl_coefs: np.array,
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modimpl_mask: np.array,
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block: bool = False,
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) -> tuple[pd.Series, pd.DataFrame, pd.DataFrame]:
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"""Calcul de la moyenne d'UE et de la moy. générale en mode classique (DUT, LMD, ...).
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@ -312,6 +314,7 @@ def compute_ue_moys_classic(
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modimpl_inscr_df: matrice d'inscription du semestre (etud x modimpl)
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modimpl_coefs: vecteur des coefficients de modules
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modimpl_mask: masque des modimpls à prendre en compte
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block: si vrai, ne calcule rien et renvoie des NaNs
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Résultat:
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- moyennes générales: pd.Series, index etudid
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@ -320,13 +323,14 @@ def compute_ue_moys_classic(
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les coefficients effectifs de chaque UE pour chaque étudiant
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(sommes de coefs de modules pris en compte)
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"""
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if (not len(modimpl_mask)) or (
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sem_matrix.shape[0] == 0
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if (
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block or (len(modimpl_mask) == 0) or (sem_matrix.shape[0] == 0)
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): # aucun module ou aucun étudiant
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# etud_moy_gen_s, etud_moy_ue_df, etud_coef_ue_df
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val = np.nan if block else 0.0
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return (
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pd.Series(
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[0.0] * len(modimpl_inscr_df.index), index=modimpl_inscr_df.index
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[val] * len(modimpl_inscr_df.index), index=modimpl_inscr_df.index
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),
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pd.DataFrame(columns=[ue.id for ue in ues], index=modimpl_inscr_df.index),
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pd.DataFrame(columns=[ue.id for ue in ues], index=modimpl_inscr_df.index),
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@ -71,7 +71,6 @@ class ResultatsSemestreBUT(NotesTableCompat):
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modimpl.module.ue.type != UE_SPORT
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for modimpl in self.formsemestre.modimpls_sorted
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]
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self.etud_moy_ue = moy_ue.compute_ue_moys_apc(
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self.sem_cube,
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self.etuds,
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@ -80,6 +79,7 @@ class ResultatsSemestreBUT(NotesTableCompat):
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self.modimpl_inscr_df,
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self.modimpl_coefs_df,
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modimpls_mask,
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block=self.formsemestre.block_moyennes,
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)
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# Les coefficients d'UE ne sont pas utilisés en APC
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self.etud_coef_ue_df = pd.DataFrame(
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@ -125,14 +125,19 @@ class ResultatsSemestreBUT(NotesTableCompat):
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# self.etud_moy_gen = moy_sem.compute_sem_moys_apc_using_coefs(
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# self.etud_moy_ue, self.modimpl_coefs_df
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# )
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self.etud_moy_gen = moy_sem.compute_sem_moys_apc_using_ects(
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self.etud_moy_ue,
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ects,
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formation_id=self.formsemestre.formation_id,
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skip_empty_ues=sco_preferences.get_preference(
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"but_moy_skip_empty_ues", self.formsemestre.id
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),
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)
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if self.formsemestre.block_moyenne_generale or self.formsemestre.block_moyennes:
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self.etud_moy_gen = pd.Series(
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index=self.etud_moy_ue.index, dtype=float
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) # NaNs
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else:
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self.etud_moy_gen = moy_sem.compute_sem_moys_apc_using_ects(
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self.etud_moy_ue,
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ects,
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formation_id=self.formsemestre.formation_id,
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skip_empty_ues=sco_preferences.get_preference(
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"but_moy_skip_empty_ues", self.formsemestre.id
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),
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)
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# --- UE capitalisées
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self.apply_capitalisation()
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@ -90,6 +90,7 @@ class ResultatsSemestreClassic(NotesTableCompat):
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self.modimpl_inscr_df,
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self.modimpl_coefs,
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modimpl_standards_mask,
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block=self.formsemestre.block_moyennes,
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)
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# --- Modules de MALUS sur les UEs et la moyenne générale
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self.malus = moy_ue.compute_malus(
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@ -78,6 +78,10 @@ class FormSemestre(db.Model):
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block_moyennes = db.Column(
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db.Boolean(), nullable=False, default=False, server_default="false"
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)
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# Bloque le calcul de la moyenne générale (utile pour BUT)
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block_moyenne_generale = db.Column(
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db.Boolean(), nullable=False, default=False, server_default="false"
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)
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# semestres decales (pour gestion jurys):
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gestion_semestrielle = db.Column(
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db.Boolean(), nullable=False, default=False, server_default="false"
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@ -62,6 +62,7 @@ _formsemestreEditor = ndb.EditableTable(
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"etat",
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"bul_hide_xml",
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"block_moyennes",
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"block_moyenne_generale",
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"bul_bgcolor",
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"modalite",
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"resp_can_edit",
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@ -83,6 +84,7 @@ _formsemestreEditor = ndb.EditableTable(
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"gestion_compensation": bool,
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"bul_hide_xml": bool,
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"block_moyennes": bool,
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"block_moyenne_generale": bool,
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"gestion_semestrielle": bool,
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"gestion_compensation": bool,
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"gestion_semestrielle": bool,
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@ -528,6 +528,14 @@ def do_formsemestre_createwithmodules(edit=False, formsemestre: FormSemestre = N
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"explanation": "empêcher le calcul des moyennes d'UE et générale.",
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},
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),
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(
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"block_moyenne_generale",
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{
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"input_type": "boolcheckbox",
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"title": "Pas de moyenne générale",
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"explanation": "ne pas calculer la moyenne générale indicative (en BUT)",
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},
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),
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]
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# Choix des parcours
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if is_apc:
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@ -0,0 +1,36 @@
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"""Ajout flag block_moyenne_generale
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Revision ID: 52f5f35c077f
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Revises: dbb4a0b19dbb
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Create Date: 2022-11-01 17:14:06.508637
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"""
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision = "52f5f35c077f"
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down_revision = "dbb4a0b19dbb"
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branch_labels = None
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depends_on = None
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def upgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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op.add_column(
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"notes_formsemestre",
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sa.Column(
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"block_moyenne_generale",
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sa.Boolean(),
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server_default="false",
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nullable=False,
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),
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)
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# ### end Alembic commands ###
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def downgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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op.drop_column("notes_formsemestre", "block_moyenne_generale")
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# ### end Alembic commands ###
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@ -7,21 +7,21 @@ Démarche générale:
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1. modifier /opt/scodoc/.env pour indiquer
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```
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```bash
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FLASK_ENV=test_api
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FLASK_DEBUG=1
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```
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2. En tant qu'utilisateur scodoc, lancer:
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```
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```bash
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tools/create_database.sh --drop SCODOC_TEST_API
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flask db upgrade
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flask sco-db-init --erase
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flask init-test-database
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```
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en plus court: ```
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en plus court: ```bash
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tools/create_database.sh --drop SCODOC_TEST_API && flask db upgrade &&flask sco-db-init --erase && flask init-test-database
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```
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@ -253,6 +253,7 @@ def test_etudiant_formsemestres(api_headers):
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)
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assert isinstance(formsemestre["titre"], str)
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assert isinstance(formsemestre["block_moyennes"], bool)
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assert isinstance(formsemestre["block_moyenne_generale"], bool)
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assert formsemestre["scodoc7_id"] is None or isinstance(
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formsemestre["scodoc7_id"], int
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)
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@ -77,6 +77,7 @@ def test_formsemestre(api_headers):
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formsemestre = r.json()
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assert verify_fields(formsemestre, FSEM_FIELDS)
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assert isinstance(formsemestre["block_moyennes"], bool)
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assert isinstance(formsemestre["block_moyenne_generale"], bool)
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assert isinstance(formsemestre["bul_bgcolor"], str)
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assert isinstance(formsemestre["bul_hide_xml"], bool)
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assert isinstance(formsemestre["date_debut_iso"], str)
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@ -136,6 +137,7 @@ def test_formsemestre_apo(api_headers):
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assert isinstance(formsemestre, dict)
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assert verify_fields(formsemestre, FSEM_FIELDS)
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assert isinstance(formsemestre["block_moyennes"], bool)
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assert isinstance(formsemestre["block_moyenne_generale"], bool)
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assert isinstance(formsemestre["bul_bgcolor"], str)
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assert isinstance(formsemestre["bul_hide_xml"], bool)
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assert isinstance(formsemestre["date_debut_iso"], str)
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@ -154,7 +154,7 @@ FORMSEMESTRE_FIELDS = [
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"bul_hide_xml",
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"elt_annee_apo",
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"block_moyennes",
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"formsemestre_id",
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"block_moyenne_generale" "formsemestre_id",
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"titre_num",
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"titre_formation",
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"date_debut_iso",
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@ -164,6 +164,7 @@ FORMSEMESTRE_FIELDS = [
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FSEM_FIELDS = {
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"block_moyennes",
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"block_moyenne_generale",
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"bul_bgcolor",
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"bul_hide_xml",
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"date_debut_iso",
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@ -224,6 +224,7 @@ class ScoFake(object):
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gestion_compensation=None,
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bul_hide_xml=None,
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block_moyennes=None,
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block_moyenne_generale=None,
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gestion_semestrielle=None,
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bul_bgcolor=None,
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modalite=FormationModalite.DEFAULT_MODALITE,
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