Merge branch 'preplacement_raschet' into 'dev'

start_raschet_on_preplacement

See merge request spatial/postamates!100
dev
Timofey Malinin 2 years ago
commit b3dd5c724a

@ -165,7 +165,6 @@ class PointService:
point.age_day = AGE_DAY_LIMIT
point.save()
# print(qs.dist.m)
@staticmethod
def get_min_distances_to_group(postamat_id: str):

@ -27,7 +27,7 @@ from service.layer_service import LayerService
@shared_task()
def raschet():
def raschet(table_name='service_placementpoint'):
LastMLCall.objects.all().delete()
LastMLCall.objects.create()
log_to_telegram('start raschet')
@ -46,23 +46,17 @@ def raschet():
pts['geometry'] = pts['geometry'].apply(wkb.loads, hex=True)
pts = gpd.GeoDataFrame(pts, geometry='geometry', crs='epsg:4326')
pts = pts.to_crs('epsg:32637')
pts = pts.rename(
columns={
'target_cnt_nearby_mean': 'target_dist1',
'target_age_nearby_mean': 'target_dist2',
'yndxfood_cnt_cst': 'target_dist3',
},
)
feats = [
'id', 'metro_dist', 'target_dist', 'property_price_bargains', 'property_price_offers',
'property_mean_floor',
'property_era', 'flats_cnt_2', 'flats_cnt', 'popul_home', 'popul_job', 'other_post_cnt', 'yndxfood_sum',
'property_era', 'flats_cnt', 'popul_home', 'popul_job', 'yndxfood_sum',
'yndxfood_cnt', 'school_cnt', 'kindergar_cnt', 'target_post_cnt', 'public_stop_cnt', 'sport_center_cnt',
'pharmacy_cnt', 'supermarket_cnt', 'supermarket_premium_cnt', 'clinic_cnt', 'bank_cnt', 'reca_cnt',
'lab_cnt', 'culture_cnt', 'attraction_cnt', 'mfc_cnt', 'bc_cnt', 'tc_cnt', 'rival_pvz_cnt',
'rival_post_cnt',
'business_activity', 'age_day', 'target_cnt_ao_mean', 'target_dist1', 'target_dist2', 'target_dist3',
'business_activity', 'age_day', 'target_cnt_ao_mean'
]
# Записи для обучения
@ -83,23 +77,6 @@ def raschet():
)
pts_trn.loc[pts_trn.target_dist > 700, 'target_dist'] = 700
pts_trn['target_dist1'] = pts_trn.apply(
lambda x: ((sorted(distance.cdist([[x['geometry'].x, x['geometry'].y]], target_feature_coords)[0])[2])),
axis=1,
)
pts_trn.loc[pts_trn.target_dist1 > 700, 'target_dist1'] = 700
pts_trn['target_dist2'] = pts_trn.apply(
lambda x: ((sorted(distance.cdist([[x['geometry'].x, x['geometry'].y]], target_feature_coords)[0])[3])),
axis=1,
)
pts_trn.loc[pts_trn.target_dist2 > 700, 'target_dist2'] = 700
pts_trn['target_dist3'] = pts_trn.apply(
lambda x: ((sorted(distance.cdist([[x['geometry'].x, x['geometry'].y]], target_feature_coords)[0])[4])),
axis=1,
)
pts_trn.loc[pts_trn.target_dist3 > 700, 'target_dist3'] = 700
pts_trn['buf'] = pts_trn.buffer(500)
pts_trn = gpd.GeoDataFrame(pts_trn, geometry='buf', crs='epsg:32637')
@ -113,11 +90,17 @@ def raschet():
Y_trn = pts_trn[['fact']]
# Записи для инференса
pts_inf = pts.loc[(pts.status == 'Pending') |
(pts.status == 'Installation') |
(pts.status == 'Cancelled') |
((pts.status == 'Working') & (pts.sample_trn == False))].reset_index(drop=True)
pts_inf = gpd.GeoDataFrame(pts_inf, geometry='geometry', crs='epsg:32637')
if table_name == 'service_placementpoint':
pts_inf = pts.loc[(pts.status == 'Pending') |
(pts.status == 'Installation') |
(pts.status == 'Cancelled') |
((pts.status == 'Working') & (pts.sample_trn == False))].reset_index(drop=True)
elif table_name == 'service_preplacementpoint':
pts_inf = pd.read_sql(f"select * from {table_name}", conn)
pts_inf = pts_inf.loc[pts_inf.matching_status == 'New'].reset_index(drop=True)
pts_inf['geometry'] = pts_inf['geometry'].apply(wkb.loads, hex=True)
pts_inf = gpd.GeoDataFrame(pts_inf, geometry='geometry', crs='epsg:4326')
pts_inf = pts_inf.to_crs('epsg:32637')
pts_inf['buf'] = pts_inf.buffer(500)
pts_inf = gpd.GeoDataFrame(pts_inf, geometry='buf', crs='epsg:32637')
@ -139,24 +122,6 @@ def raschet():
)
pts_inf.loc[pts_inf.target_dist > 700, 'target_dist'] = 700
pts_inf['target_dist1'] = pts_inf.apply(
lambda x: ((sorted(distance.cdist([[x['geometry'].x, x['geometry'].y]], target_feature_coords)[0])[1])),
axis=1,
)
pts_inf.loc[pts_inf.target_dist1 > 700, 'target_dist1'] = 700
pts_inf['target_dist2'] = pts_inf.apply(
lambda x: ((sorted(distance.cdist([[x['geometry'].x, x['geometry'].y]], target_feature_coords)[0])[2])),
axis=1,
)
pts_inf.loc[pts_inf.target_dist2 > 700, 'target_dist2'] = 700
pts_inf['target_dist3'] = pts_inf.apply(
lambda x: ((sorted(distance.cdist([[x['geometry'].x, x['geometry'].y]], target_feature_coords)[0])[3])),
axis=1,
)
pts_inf.loc[pts_inf.target_dist3 > 700, 'target_dist3'] = 700
pts_inf = pts_inf.sort_values(by='id').reset_index(drop=True)
target_post = gpd.sjoin(pts_inf, pts_target, op='contains').groupby('id', as_index=False).agg({'cnt': 'count'})
target_post = target_post.rename(columns={'cnt': 'target_post_cnt'})
@ -251,7 +216,7 @@ def raschet():
update_records1 = []
for i in range(0, len(update_fields)):
update_records1.append((int(update_fields.prediction_current[i]), int(update_fields.id[i])))
sql_update_query = """Update service_placementpoint set prediction_current = %s where id = %s"""
sql_update_query = f"""Update {table_name} set prediction_current = %s where id = %s"""
try:
psycopg2.extras.execute_batch(cursor, sql_update_query, update_records1)
conn2.commit()
@ -264,7 +229,7 @@ def raschet():
update_records2 = []
for i in range(0, len(update_fields_working)):
update_records2.append((int(update_fields_working.plan_first[i]), int(update_fields_working.id[i])))
sql_update_query = """Update service_placementpoint set plan_first = %s where id = %s"""
sql_update_query = f"""Update {table_name} set plan_first = %s where id = %s"""
try:
psycopg2.extras.execute_batch(cursor, sql_update_query, update_records2)
conn2.commit()
@ -277,7 +242,7 @@ def raschet():
update_records3 = []
for i in range(0, len(update_fields_working)):
update_records3.append((int(update_fields_working.plan_current[i]), int(update_fields_working.id[i])))
sql_update_query = """Update service_placementpoint set plan_current = %s where id = %s"""
sql_update_query = f"""Update {table_name} set plan_current = %s where id = %s"""
try:
psycopg2.extras.execute_batch(cursor, sql_update_query, update_records3)
conn2.commit()
@ -290,7 +255,7 @@ def raschet():
update_records4 = []
for i in range(0, len(update_fields_working)):
update_records4.append((int(update_fields_working.delta_first[i]), int(update_fields_working.id[i])))
sql_update_query = """Update service_placementpoint set delta_first = %s where id = %s"""
sql_update_query = f"""Update {table_name} set delta_first = %s where id = %s"""
try:
psycopg2.extras.execute_batch(cursor, sql_update_query, update_records4)
conn2.commit()
@ -303,7 +268,7 @@ def raschet():
update_records5 = []
for i in range(0, len(update_fields_working)):
update_records5.append((int(update_fields_working.delta_current[i]), int(update_fields_working.id[i])))
sql_update_query = """Update service_placementpoint set delta_current = %s where id = %s"""
sql_update_query = f"""Update {table_name} set delta_current = %s where id = %s"""
try:
psycopg2.extras.execute_batch(cursor, sql_update_query, update_records5)
conn2.commit()
@ -316,6 +281,7 @@ def raschet():
log_to_telegram('end raschet')
@shared_task
def load_post_and_pvz(obj_id: int):
file = models.TempFiles.objects.get(id=obj_id)

@ -363,6 +363,7 @@ class PrePlacementPointViewSet(PlacementPointViewSet):
file_id = request.POST['id']
total, matched, problem = PointService().start_mathing(file_id)
PointService.make_enrichment()
raschet('service_preplacementpoint')
return Response(
{'message': {'total': total, 'matched': matched, 'error': problem, 'unmatched': total - matched - problem}},
status=HTTPStatus.OK,

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