initializer service deployed and tested

This commit is contained in:
Berkay 2025-05-12 17:42:33 +03:00
parent 834c78d814
commit 1d4f00e8b2
96 changed files with 11881 additions and 0 deletions

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3.12

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1. endpoint uuid must be imported from a common folder
2. authservice must be seperated from application checkers service even though it serves values from redis
3. Initial services are not functioning well enough
4. ApiResponse and SystemResponse must be seperated
5.

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FROM python:3.12-slim
WORKDIR /
# Install system dependencies and Poetry
RUN apt-get update && apt-get install -y --no-install-recommends gcc && rm -rf /var/lib/apt/lists/* && pip install --no-cache-dir poetry
# Copy Poetry configuration
COPY /pyproject.toml ./pyproject.toml
# Configure Poetry and install dependencies with optimizations
RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi --no-root --only main && pip cache purge && rm -rf ~/.cache/pypoetry
# Copy application code
COPY /api_services/api_initializer /api_initializer
COPY /api_services/api_controllers /api_controllers
COPY /api_services/schemas /schemas
COPY /api_services/api_middlewares /middlewares
COPY /api_services/api_builds/auth-service/endpoints /api_initializer/endpoints
COPY /api_services/api_builds/auth-service/events /api_initializer/events
COPY /api_services/api_builds/auth-service/validations /api_initializer/validations
# Set Python path to include app directory
ENV PYTHONPATH=/ PYTHONUNBUFFERED=1 PYTHONDONTWRITEBYTECODE=1
# Run the application using the configured uvicorn server
CMD ["poetry", "run", "python", "/api_initializer/app.py"]

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__all__ = []

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endpoints_index: dict = {
"Name": "d538deb4-38f4-4913-a1af-bbef14cf6873",
"Slot1": "c0f5ccb1-1e56-4653-af13-ec0bf5e6aa51",
"Slot2": "034a7eb7-0186-4f48-bb8c-165c429ad5c1",
"Slot3": "ec1f3ec3-3f28-4eaf-b89a-c463632c0b90",
"Slot4": "2cf99f10-72f0-4c2b-98be-3082d67b950d",
"Slot5": "15c24c6c-651b-4c5d-9c2b-5c6c6c6c6c6c",
}

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from fastapi import APIRouter
def get_routes() -> list[APIRouter]:
return []
def get_safe_endpoint_urls() -> list[tuple[str, str]]:
return [
("/", "GET"),
("/docs", "GET"),
("/redoc", "GET"),
("/openapi.json", "GET"),
("/metrics", "GET"),
]

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__all__ = []

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events_index: dict = {
"Slot1": "",
"Slot2": "",
"Slot3": "",
"Slot4": "",
"Slot5": "",
}

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FROM python:3.12-slim
WORKDIR /
# Install system dependencies and Poetry
RUN apt-get update && apt-get install -y --no-install-recommends gcc && rm -rf /var/lib/apt/lists/* && pip install --no-cache-dir poetry
# Copy Poetry configuration
COPY /pyproject.toml ./pyproject.toml
# Configure Poetry and install dependencies with optimizations
RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi --no-root --only main && pip cache purge && rm -rf ~/.cache/pypoetry
# Copy application code
COPY /api_services/api_controllers /api_controllers
COPY /api_services/schemas /schemas
COPY /api_services/api_builds/initial-service /initial-service
COPY /api_services/api_builds/initial-service /
# Set Python path to include app directory
ENV PYTHONPATH=/ PYTHONUNBUFFERED=1 PYTHONDONTWRITEBYTECODE=1
# Run the application using the configured uvicorn server
CMD ["poetry", "run", "python", "initial-service/app.py"]

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# A generic, single database configuration.
[alembic]
# path to migration scripts
# Use forward slashes (/) also on windows to provide an os agnostic path
script_location = alembic
# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
# Uncomment the line below if you want the files to be prepended with date and time
# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
# for all available tokens
# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
# sys.path path, will be prepended to sys.path if present.
# defaults to the current working directory.
prepend_sys_path = .
# timezone to use when rendering the date within the migration file
# as well as the filename.
# If specified, requires the python>=3.9 or backports.zoneinfo library and tzdata library.
# Any required deps can installed by adding `alembic[tz]` to the pip requirements
# string value is passed to ZoneInfo()
# leave blank for localtime
# timezone =
# max length of characters to apply to the "slug" field
# truncate_slug_length = 40
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version location specification; This defaults
# to alembic/versions. When using multiple version
# directories, initial revisions must be specified with --version-path.
# The path separator used here should be the separator specified by "version_path_separator" below.
# version_locations = %(here)s/bar:%(here)s/bat:alembic/versions
# version path separator; As mentioned above, this is the character used to split
# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep.
# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas.
# Valid values for version_path_separator are:
#
# version_path_separator = :
# version_path_separator = ;
# version_path_separator = space
# version_path_separator = newline
#
# Use os.pathsep. Default configuration used for new projects.
version_path_separator = os
# set to 'true' to search source files recursively
# in each "version_locations" directory
# new in Alembic version 1.10
# recursive_version_locations = false
# the output encoding used when revision files
# are written from script.py.mako
# output_encoding = utf-8
sqlalchemy.url = postgresql+psycopg2://postgres:password@10.10.2.14:5432/postgres
[post_write_hooks]
# post_write_hooks defines scripts or Python functions that are run
# on newly generated revision scripts. See the documentation for further
# detail and examples
# format using "black" - use the console_scripts runner, against the "black" entrypoint
# hooks = black
# black.type = console_scripts
# black.entrypoint = black
# black.options = -l 79 REVISION_SCRIPT_FILENAME
# lint with attempts to fix using "ruff" - use the exec runner, execute a binary
# hooks = ruff
# ruff.type = exec
# ruff.executable = %(here)s/.venv/bin/ruff
# ruff.options = check --fix REVISION_SCRIPT_FILENAME
# Logging configuration
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARNING
handlers = console
qualname =
[logger_sqlalchemy]
level = WARNING
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S

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Generic single-database configuration.

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import os
from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from sqlalchemy import create_engine
from alembic import context
from schemas import *
from api_controllers.postgres.engine import Base
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Override sqlalchemy.url with environment variables if they exist
db_host = os.getenv("POSTGRES_HOST", None)
db_port = os.getenv("POSTGRES_PORT", None)
db_user = os.getenv("POSTGRES_USER", None)
db_password = os.getenv("POSTGRES_PASSWORD", None)
db_name = os.getenv("POSTGRES_DB", None)
# Build the connection URL from environment variables
db_url = f"postgresql+psycopg2://{db_user}:{db_password}@{db_host}:{db_port}/{db_name}"
# Override the sqlalchemy.url in the alembic.ini file
config.set_main_option("sqlalchemy.url", db_url)
# Interpret the config file for Python logging.
# This line sets up loggers basically.
if config.config_file_name is not None:
fileConfig(config.config_file_name)
target_metadata = Base.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def run_migrations_offline() -> None:
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
connectable = engine_from_config(
config.get_section(config.config_ini_section, {}),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(connection=connection, target_metadata=target_metadata)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()

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"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
${imports if imports else ""}
# revision identifiers, used by Alembic.
revision: str = ${repr(up_revision)}
down_revision: Union[str, None] = ${repr(down_revision)}
branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
def upgrade() -> None:
"""Upgrade schema."""
${upgrades if upgrades else "pass"}
def downgrade() -> None:
"""Downgrade schema."""
${downgrades if downgrades else "pass"}

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import os
from api_controllers.postgres.engine import get_db
from init_app_defaults import create_application_defaults
from init_enums import init_api_enums_build_types
from init_alembic import generate_alembic
from init_occupant_types import create_occupant_types_defaults
from init_services import create_modules_and_services_and_actions
from init_address import create_one_address
from init_occ_defaults import create_occupant_defaults
set_alembic = bool(int(os.getenv("SET_ALEMBIC"), 0))
if __name__ == "__main__":
print(f"Set alembic: {set_alembic}")
with get_db() as db_session:
if set_alembic:
generate_alembic(session=db_session)
try:
create_one_address(db_session=db_session)
except Exception as e:
print(f"Error creating address: {e}")
try:
init_api_enums_build_types(db_session=db_session)
except Exception as e:
print(f"Error creating enums: {e}")
try:
create_application_defaults(db_session=db_session)
except Exception as e:
print(f"Error creating application defaults: {e}")
try:
create_occupant_types_defaults(db_session=db_session)
except Exception as e:
print(f"Error creating occupant types defaults: {e}")
try:
create_modules_and_services_and_actions(db_session=db_session)
except Exception as e:
print(f"Error creating modules and services and actions: {e}")
try:
create_occupant_defaults(db_session=db_session)
except Exception as e:
print(f"Error creating occupant defaults: {e}")

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from schemas import (
Addresses,
AddressCity,
AddressStreet,
AddressLocality,
AddressDistrict,
AddressNeighborhood,
AddressState,
AddressCountry,
)
def create_one_address(db_session):
address_list = []
AddressCountry.set_session(db_session)
country = AddressCountry.query.filter_by(country_name="TÜRKİYE", country_code="TR").first()
if not country:
country = AddressCountry.create(
country_name="TÜRKİYE", country_code="TR", is_confirmed=True
)
country.save()
address_list.append(country)
else:
print(f"Country already exists {country.to_dict()}")
AddressState.set_session(db_session)
state = AddressState.query.filter_by(state_name="TÜRKİYE", state_code="TR").first()
if not state:
state = AddressState.create(
state_name="TÜRKİYE",
state_code="TR",
phone_code="90",
country_id=country.id,
country_uu_id=str(country.uu_id),
is_confirmed=True,
)
state.save()
address_list.append(state)
else:
print(f"State already exists {state.to_dict()}")
AddressCity.set_session(db_session)
city = AddressCity.query.filter_by(city_name="ANKARA", city_code="6").first()
if not city:
city = AddressCity.create(
city_name="ANKARA",
city_code="6",
licence_plate="06",
state_id=state.id,
state_uu_id=str(state.uu_id),
is_confirmed=True,
)
city.save()
address_list.append(city)
else:
print(f"City already exists {city.to_dict()}")
AddressDistrict.set_session(db_session)
district = AddressDistrict.query.filter_by(district_name="ÇANKAYA", district_code="1231").first()
if not district:
district = AddressDistrict.create(
district_name="ÇANKAYA",
district_code="1231",
city_id=city.id,
city_uu_id=str(city.uu_id),
is_confirmed=True,
)
district.save()
address_list.append(district)
else:
print(f"District already exists {district.to_dict()}")
AddressLocality.set_session(db_session)
locality = AddressLocality.query.filter_by(locality_name="MERKEZ", locality_code="2431").first()
if not locality:
locality = AddressLocality.create(
locality_name="MERKEZ",
locality_code="2431",
type_code="3",
type_description=None,
district_id=district.id,
district_uu_id=str(district.uu_id),
is_confirmed=True,
)
locality.save()
address_list.append(locality)
else:
print(f"Locality already exists {locality.to_dict()}")
AddressNeighborhood.set_session(db_session)
neighborhood = AddressNeighborhood.query.filter_by(neighborhood_name="AYRANCI MAHALLESİ", neighborhood_code="1522").first()
if not neighborhood:
neighborhood = AddressNeighborhood.create(
neighborhood_name="AYRANCI MAHALLESİ",
neighborhood_code="1522",
type_code="1",
type_description="MAHALLESİ",
locality_id=locality.id,
locality_uu_id=str(locality.uu_id),
is_confirmed=True,
)
neighborhood.save()
address_list.append(neighborhood)
else:
print(f"Neighborhood already exists {neighborhood.to_dict()}")
AddressStreet.set_session(db_session)
street = AddressStreet.query.filter_by(street_name="REŞAT NURİ CADDESİ", street_code="52270").first()
if not street:
street = AddressStreet.create(
street_name="REŞAT NURİ CADDESİ",
type_description="CADDESİ",
type_code="3",
street_code="52270",
neighborhood_id=neighborhood.id,
neighborhood_uu_id=str(neighborhood.uu_id),
is_confirmed=True,
)
street.save()
address_list.append(street)
else:
print(f"Street already exists {street.to_dict()}")
Addresses.set_session(db_session)
address = Addresses.query.filter_by(street_id=street.id, street_uu_id=str(street.uu_id)).first()
if not address:
address = Addresses.create(
street_id=street.id,
street_uu_id=str(street.uu_id),
build_number="Ex1",
door_number="1",
floor_number="1",
comment_address="Example Address",
letter_address="Example Address",
short_letter_address="Example Address",
latitude=0,
longitude=0,
is_confirmed=True,
)
address.save()
address_list.append(address)
else:
print(f"Address already exists {address.to_dict()}")

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import os
from sqlalchemy import text
def generate_alembic(session):
try:
result = session.execute(
text(
"SELECT EXISTS (SELECT 1 FROM information_schema.tables WHERE table_name = "
"'alembic_version') AS table_existence;"
)
)
if result.first()[0]:
session.execute(text("delete from alembic_version;"))
session.commit()
except Exception as e:
print(e)
finally:
run_command = "python -m alembic stamp head;"
run_command += (
"python -m alembic revision --autogenerate;python -m alembic upgrade head;"
)
os.system(run_command)

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import arrow
from modules.Token.password_module import PasswordModule
from api_controllers.mongo.database import mongo_handler
from schemas import (
Companies,
Departments,
Duty,
Duties,
Employees,
People,
Users,
Staff,
RelationshipDutyCompany,
)
def create_application_defaults(db_session):
created_list, created_by, confirmed_by = [], "System", "System"
active_row = dict(is_confirmed=True, active=True, deleted=False, is_notification_send=True)
Companies.set_session(db_session)
Departments.set_session(db_session)
Duties.set_session(db_session)
Duty.set_session(db_session)
Staff.set_session(db_session)
People.set_session(db_session)
Users.set_session(db_session)
Employees.set_session(db_session)
RelationshipDutyCompany.set_session(db_session)
company_management = Companies.query.filter_by(company_tag="Evyos",).first()
if not company_management:
company_management = Companies.find_or_create(
**{
"formal_name": "Evyos LTD",
"public_name": "Evyos Verimlilik Sistemleri",
"company_type": "LTD",
"commercial_type": "Commercial",
"tax_no": "123132123132",
"company_tag": "Evyos",
"default_lang_type": "TR",
"default_money_type": "TL",
"is_commercial": True,
"is_confirmed": True,
}
)
created_list.append(company_management)
else:
print(f"Company Management Found {company_management.to_dict()}")
company_id, company_uu_id = company_management.id, str(company_management.uu_id)
execution = Departments.query.filter_by(department_code="EO001", company_id=company_id).first()
if not execution:
execution = Departments.create(
department_name="Execution Office",
department_code="EO001",
company_id=company_id,
company_uu_id=str(company_uu_id),
**active_row,
)
created_list.append(execution)
else:
print(f"Execution Found {execution.to_dict()}")
gen_man = Departments.query.filter_by(department_code="GM001", company_id=company_id).first()
if not gen_man:
gen_man = Departments.create(
department_name="General Manager Example",
department_code="GM001",
company_id=company_id,
company_uu_id=str(company_uu_id),
**active_row,
)
created_list.append(gen_man)
else:
print(f"General Manager Found {gen_man.to_dict()}")
it_dept = Departments.query.filter_by(department_code="ITD001", company_id=company_id).first()
if not it_dept:
it_dept = Departments.create(
department_name="IT Department",
department_code="ITD001",
company_id=company_id,
company_uu_id=str(company_uu_id),
**active_row,
)
created_list.append(it_dept)
else:
print(f"IT Department Found {it_dept.to_dict()}")
gen_duty = Duty.query.filter_by(duty_code="GM0001").first()
if not gen_duty:
gen_duty = Duty.create(
duty_name="General Manager",
duty_code="GM0001",
duty_description="General Manager",
**active_row,
)
created_list.append(gen_duty)
else:
print(f"General Manager Found {gen_duty.to_dict()}")
bm_duty = Duty.query.filter_by(duty_code="BM0001").first()
if not bm_duty:
bm_duty = Duty.create(
duty_name="Business Manager",
duty_code="BM0001",
duty_description="Business Manager",
**active_row,
)
created_list.append(bm_duty)
else:
print(f"Business Manager Found {bm_duty.to_dict()}")
it_duty = Duty.query.filter_by(duty_code="IT0001").first()
if not it_duty:
it_duty = Duty.create(
duty_name="IT Manager",
duty_code="IT0001",
duty_description="IT Manager",
**active_row,
)
created_list.append(it_duty)
else:
print(f"IT Manager Found {it_duty.to_dict()}")
bulk_duty = Duty.query.filter_by(duty_code="BULK").first()
if not bulk_duty:
bulk_duty = Duty.create(
duty_name="BULK",
duty_code="BULK",
duty_description="BULK RECORDS OF THE COMPANY",
**active_row,
)
created_list.append(bulk_duty)
else:
print(f"Bulk Duty Found {bulk_duty.to_dict()}")
occu_duty = Duty.query.filter_by(duty_code="OCCUPANT").first()
if not occu_duty:
occu_duty = Duty.create(
duty_name="OCCUPANT",
duty_code="OCCUPANT",
duty_description="OCCUPANT RECORDS OF THE COMPANY",
**active_row,
)
created_list.append(occu_duty)
else:
print(f"Occupant Duty Found {occu_duty.to_dict()}")
duties_gen_man = Duties.query.filter_by(company_id=company_id, duties_id=gen_duty.id, department_id=gen_man.id).first()
if not duties_gen_man:
duties_gen_man = Duties.create(
company_id=company_id,
company_uu_id=str(company_uu_id),
duties_id=gen_duty.id,
duties_uu_id=str(gen_duty.uu_id),
department_id=gen_man.id,
department_uu_id=str(gen_man.uu_id),
**active_row,
)
created_list.append(duties_gen_man)
else:
print(f"Duties General Manager Found {duties_gen_man.to_dict()}")
duties_created_bm = Duties.query.filter_by(company_id=company_id, duties_id=bm_duty.id, department_id=execution.id).first()
if not duties_created_bm:
duties_created_bm = Duties.create(
company_id=company_id,
company_uu_id=str(company_uu_id),
duties_id=bm_duty.id,
duties_uu_id=str(bm_duty.uu_id),
department_id=execution.id,
department_uu_id=str(execution.uu_id),
**active_row,
)
created_list.append(duties_created_bm)
else:
print(f"Duties Business Manager Found {duties_created_bm.to_dict()}")
duties_created_it = Duties.query.filter_by(company_id=company_id, duties_id=bulk_duty.id, department_id=execution.id).first()
if not duties_created_it:
duties_created_it = Duties.create(
company_id=company_id,
company_uu_id=str(company_uu_id),
duties_id=bulk_duty.id,
duties_uu_id=str(bulk_duty.uu_id),
department_id=execution.id,
department_uu_id=str(execution.uu_id),
**active_row,
)
created_list.append(duties_created_it)
else:
print(f"Duties Bulk Found {duties_created_it.to_dict()}")
duties_created_occupant = Duties.query.filter_by(company_id=company_id, duties_id=occu_duty.id, department_id=execution.id).first()
if not duties_created_occupant:
duties_created_occupant = Duties.create(
company_id=company_id,
company_uu_id=str(company_uu_id),
duties_id=occu_duty.id,
duties_uu_id=str(occu_duty.uu_id),
department_id=execution.id,
department_uu_id=str(execution.uu_id),
**active_row,
)
created_list.append(duties_created_occupant)
else:
print(f"Duties Occupant Found {duties_created_occupant.to_dict()}")
bulk_duty = Duty.query.filter_by(duty_code="BULK").first()
if not bulk_duty:
bulk_duty = Duty.create(
duty_name="BULK",
duty_code="BULK",
duty_description="BULK RECORDS OF THE COMPANY",
**active_row,
)
created_list.append(bulk_duty)
else:
print(f"Bulk Duty Found {bulk_duty.to_dict()}")
it_dept = Departments.query.filter_by(department_code="ITD001", company_id=company_id).first()
if not it_dept:
it_dept = Departments.create(
department_name="IT Department",
department_code="ITD001",
company_id=company_id,
company_uu_id=str(company_uu_id),
**active_row,
)
created_list.append(it_dept)
else:
print(f"IT Department Found {it_dept.to_dict()}")
created_duty = Duty.query.filter_by(duty_code="DM").first()
if not created_duty:
created_duty = Duty.create(
duty_name="Database Manager",
duty_code="DM",
duty_description="Database Manager",
created_by=created_by,
confirmed_by=confirmed_by,
is_confirmed=True,
active=True,
deleted=False,
is_notification_send=True,
)
created_list.append(created_duty)
created_duty = Duty.query.filter_by(duty_code="NM").first()
if not created_duty:
created_duty = Duty.create(
duty_name="Network Manager",
duty_code="NM",
duty_description="Network Manager",
created_by=created_by,
confirmed_by=confirmed_by,
is_confirmed=True,
active=True,
deleted=False,
is_notification_send=True,
)
created_list.append(created_duty)
application_manager_duty = Duty.query.filter_by(duty_code="AM").first()
if not application_manager_duty:
application_manager_duty = Duty.create(
duty_name="Application Manager",
duty_code="AM",
duty_description="Application Manager",
created_by=created_by,
confirmed_by=confirmed_by,
is_confirmed=True,
active=True,
deleted=False,
is_notification_send=True,
)
created_list.append(application_manager_duty)
application_super_user_duty = Duty.query.filter_by(duty_code="SUE").first()
if not application_super_user_duty:
application_super_user_duty = Duty.create(
duty_name="Super User",
duty_code="SUE",
duty_description="Super User",
created_by=created_by,
confirmed_by=confirmed_by,
**active_row,
)
created_list.append(application_super_user_duty)
application_manager_duties = Duties.query.filter_by(
department_id=it_dept.id,
duties_id=application_manager_duty.id,
company_id=company_id,
).first()
if not application_manager_duties:
application_manager_duties = Duties.create(
department_id=it_dept.id,
department_uu_id=str(it_dept.uu_id),
duties_id=application_manager_duty.id,
duties_uu_id=str(application_manager_duty.uu_id),
company_id=company_id,
company_uu_id=str(company_uu_id),
**active_row,
)
created_list.append(application_manager_duties)
else:
print(f"Application Manager Duties Found {application_manager_duties.to_dict()}")
super_user_duties = Duties.query.filter_by(
department_id=it_dept.id,
duties_id=application_super_user_duty.id,
company_id=company_id,
).first()
if not super_user_duties:
super_user_duties = Duties.create(
department_id=it_dept.id,
department_uu_id=str(it_dept.uu_id),
duties_id=application_super_user_duty.id,
duties_uu_id=str(application_manager_duty.uu_id),
company_id=company_id,
company_uu_id=str(company_uu_id),
**active_row,
)
created_list.append(super_user_duties)
else:
print(f"Super User Duties Found {super_user_duties.to_dict()}")
relation_super_user_duties = RelationshipDutyCompany.query.filter_by(
duties_id=super_user_duties.id,
owner_id=company_id,
member_id=company_id,
).first()
if not relation_super_user_duties:
relation_super_user_duties = RelationshipDutyCompany.create(
duties_id=super_user_duties.id,
owner_id=company_id,
member_id=company_id,
parent_id=None,
child_count=0,
**active_row,
)
created_list.append(super_user_duties)
relation_application_manager_duties = RelationshipDutyCompany.query.filter_by(
duties_id=application_manager_duties.id,
owner_id=company_id,
member_id=company_id,
).first()
if not relation_application_manager_duties:
relation_application_manager_duties = RelationshipDutyCompany.create(
duties_id=application_manager_duties.id,
owner_id=company_id,
member_id=company_id,
parent_id=None,
child_count=0,
**active_row,
)
created_list.append(relation_application_manager_duties)
app_manager = People.query.filter_by(
person_tag="BAM-System",
).first()
if not app_manager:
app_manager = People.create(
**{
"person_tag": "BAM-System",
"firstname": "Berkay Application Manager",
"surname": "Karatay",
"sex_code": "M",
"middle_name": "",
"father_name": "Father",
"mother_name": "Mother",
"country_code": "TR",
"national_identity_id": "12312312312",
"birth_place": "Ankara",
"birth_date": "01.07.1990",
"tax_no": "1231231231",
**active_row,
},
)
created_list.append(app_manager)
else:
print(f"Application Manager Found {app_manager.to_dict()}")
sup_manager = People.query.filter_by(person_tag="BSU-System").first()
if not sup_manager:
sup_manager = People.create(
**{
"person_tag": "BSU-System",
"firstname": "Berkay Super User",
"surname": "Karatay",
"sex_code": "M",
"middle_name": "",
"father_name": "Father",
"mother_name": "Mother",
"country_code": "TR",
"national_identity_id": "12312312313",
"birth_place": "Ankara",
"birth_date": "01.07.1990",
"tax_no": "1231231232",
**active_row,
},
)
created_list.append(sup_manager)
else:
print(f"Super User Found {sup_manager.to_dict()}")
gen_manager_people = People.query.filter_by(person_tag="BM-System").first()
if not gen_manager_people:
gen_manager_people = People.create(
**{
"person_tag": "BM-System",
"firstname": "Example General Manager",
"surname": "Example",
"sex_code": "M",
"middle_name": "",
"father_name": "Father",
"mother_name": "Mother",
"country_code": "TR",
"national_identity_id": "12312312314",
"birth_place": "Ankara",
"birth_date": "01.07.1990",
"tax_no": "1231231233",
**active_row,
},
)
created_list.append(gen_manager_people)
else:
print(f"General Manager Found {gen_manager_people.to_dict()}")
application_manager_staff = Staff.query.filter_by(staff_code="AME", duties_id=application_manager_duties.id).first()
if not application_manager_staff:
application_manager_staff = Staff.create(
**{
"staff_code": "AME",
"staff_name": "Application Manager Employee",
"staff_description": "Application Manager Employee",
"duties_id": application_manager_duties.id,
"duties_uu_id": str(application_manager_duty.uu_id),
**active_row,
},
)
created_list.append(application_manager_staff)
else:
print(f"Application Manager Found {application_manager_staff.to_dict()}")
super_user_staff = Staff.query.filter_by(staff_code="SUE", duties_id=super_user_duties.id).first()
if not super_user_staff:
super_user_staff = Staff.create(
**{
"staff_code": "SUE",
"staff_name": "Super User Employee",
"staff_description": "Super User Employee",
"duties_id": super_user_duties.id,
"duties_uu_id": str(super_user_duties.uu_id),
**active_row,
},
)
created_list.append(super_user_staff)
else:
print(f"Super User Found {super_user_staff.to_dict()}")
gen_manager_staff = Staff.query.filter_by(staff_code="GME", duties_id=duties_gen_man.id).first()
if not gen_manager_staff:
gen_manager_staff = Staff.create(
**{
"staff_code": "GME",
"staff_name": "General Manager Employee",
"staff_description": "General Manager Employee",
"duties_id": duties_gen_man.id,
"duties_uu_id": str(duties_gen_man.uu_id),
**active_row,
},
)
created_list.append(gen_manager_staff)
else:
print(f"General Manager Found {gen_manager_staff.to_dict()}")
application_manager_staff = Staff.query.filter_by(staff_code="AME", duties_id=application_manager_duty.id).first()
if not application_manager_staff:
application_manager_staff = Staff.create(
**{
"staff_code": "AME",
"staff_name": "Application Manager Employee",
"staff_description": "Application Manager Employee",
"duties_id": application_manager_duty.id,
"duties_uu_id": str(application_manager_duty.uu_id),
**active_row,
},
)
created_list.append(application_manager_staff)
gen_man_staff = Staff.query.filter_by(staff_code="GME", duties_id=duties_gen_man.id).first()
if not gen_man_staff:
gen_man_staff = Staff.create(
**{
"staff_code": "GME",
"staff_name": "General Manager Employee",
"staff_description": "General Manager Employee",
"duties_id": duties_gen_man.id,
"duties_uu_id": str(gen_duty.uu_id),
**active_row,
},
)
created_list.append(gen_man_staff)
gen_man_employee = Employees.query.filter_by(staff_id=gen_man_staff.id, people_id=gen_manager_people.id).first()
if not gen_man_employee:
gen_man_employee = Employees.create(
staff_id=gen_man_staff.id,
staff_uu_id=str(gen_man_staff.uu_id),
people_id=gen_manager_people.id,
people_uu_id=str(gen_manager_people.uu_id),
**active_row,
)
created_list.append(gen_man_employee)
app_manager_employee = Employees.query.filter_by(staff_id=application_manager_staff.id, people_id=app_manager.id).first()
if not app_manager_employee:
app_manager_employee = Employees.create(
staff_id=application_manager_staff.id,
staff_uu_id=str(application_manager_staff.uu_id),
people_id=app_manager.id,
people_uu_id=str(app_manager.uu_id),
**active_row,
)
created_list.append(app_manager_employee)
super_user_employee = Employees.query.filter_by(staff_id=super_user_staff.id, people_id=sup_manager.id).first()
if not super_user_employee:
super_user_employee = Employees.create(
staff_id=super_user_staff.id,
staff_uu_id=str(super_user_staff.uu_id),
people_id=sup_manager.id,
people_uu_id=str(sup_manager.uu_id),
**active_row,
)
created_list.append(super_user_employee)
gen_manager_user = Users.query.filter_by(person_id=gen_manager_people.id, user_tag=gen_manager_people.person_tag).first()
if not gen_manager_user:
gen_manager_user = Users.create(
person_id=gen_manager_people.id,
person_uu_id=str(gen_manager_people.uu_id),
user_tag=gen_manager_people.person_tag,
email="example.general@evyos.com.tr",
phone_number="+901111111111",
avatar="https://s.tmimgcdn.com/scr/800x500/276800/building-home-nature-logo-vector-template-3_276851-original.jpg",
related_company=str(company_management.uu_id),
**active_row,
)
created_list.append(gen_manager_user)
gen_manager_user.password_expiry_begins = str(arrow.now())
gen_manager_user.password_token = PasswordModule.generate_refresher_token()
main_domain, collection_name = (
"evyos.com.tr",
f"{str(company_management.uu_id)}*Domain",
)
with mongo_handler.collection(collection_name) as mongo_engine:
existing_record = mongo_engine.find_one(
{"user_uu_id": str(gen_manager_user.uu_id)}
)
if not existing_record:
mongo_engine.insert_one(
document={
"user_uu_id": str(gen_manager_user.uu_id),
"other_domains_list": [main_domain],
"main_domain": main_domain,
"modified_at": arrow.now().timestamp(),
}
)
else:
mongo_engine.update_one(
{"user_uu_id": str(gen_manager_user.uu_id)},
{
"$set": {
"other_domains_list": [main_domain],
"main_domain": main_domain,
"modified_at": arrow.now().timestamp(),
}
},
)
app_manager_user = Users.query.filter_by(person_id=app_manager.id, user_tag=app_manager.person_tag).first()
if not app_manager_user:
app_manager_user = Users.create(
person_id=app_manager.id,
user_tag=app_manager.person_tag,
email="karatay.berkay.man@evyos.com.tr",
phone_number="+901111111111",
avatar="https://s.tmimgcdn.com/scr/800x500/276800/building-home-nature-logo-vector-template-3_276851-original.jpg",
related_company=str(company_management.uu_id),
**active_row,
)
created_list.append(app_manager_user)
app_manager_user.password_expiry_begins = str(arrow.now())
app_manager_user.password_token = PasswordModule.generate_refresher_token()
with mongo_handler.collection(collection_name) as mongo_engine:
existing_record = mongo_engine.find_one(
{"user_uu_id": str(app_manager_user.uu_id)}
)
if not existing_record:
mongo_engine.insert_one(
document={
"user_uu_id": str(app_manager_user.uu_id),
"other_domains_list": [main_domain],
"main_domain": main_domain,
"modified_at": arrow.now().timestamp(),
}
)
else:
mongo_engine.update_one(
{"user_uu_id": str(app_manager_user.uu_id)},
{
"$set": {
"other_domains_list": [main_domain],
"main_domain": main_domain,
"modified_at": arrow.now().timestamp(),
}
},
)
sup_manager_user = Users.query.filter_by(person_id=sup_manager.id, user_tag=sup_manager.person_tag).first()
if not sup_manager_user:
sup_manager_user = Users.create(
person_id=sup_manager.id,
user_tag=sup_manager.person_tag,
email="karatay.berkay.sup@evyos.com.tr",
phone_number="+901111111112",
avatar="https://s.tmimgcdn.com/scr/800x500/276800/building-home-nature-logo-vector-template-3_276851-original.jpg",
created_by=created_by,
confirmed_by=confirmed_by,
related_company=str(company_management.uu_id),
**active_row,
)
created_list.append(sup_manager_user)
sup_manager_user.password_expiry_begins = str(arrow.now())
sup_manager_user.password_token = PasswordModule.generate_refresher_token()
with mongo_handler.collection(collection_name) as mongo_engine:
existing_record = mongo_engine.find_one(
{"user_uu_id": str(sup_manager_employee.uu_id)}
)
if not existing_record:
print("insert sup existing record", existing_record)
mongo_engine.insert_one(
document={
"user_uu_id": str(sup_manager_employee.uu_id),
"other_domains_list": [main_domain, "management.com.tr"],
"main_domain": main_domain,
"modified_at": arrow.now().timestamp(),
}
)
else:
print("update sup existing record", existing_record)
# Optionally update the existing record if needed
mongo_engine.update_one(
{"user_uu_id": str(sup_manager_employee.uu_id)},
{
"$set": {
"other_domains_list": [main_domain, "management.com.tr"],
"main_domain": main_domain,
"modified_at": arrow.now().timestamp(),
}
},
)
db_session.commit()
print("All Defaults Create is now completed")

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@ -0,0 +1,266 @@
from pydantic import BaseModel
from schemas import BuildTypes, ApiEnumDropdown
class InsertBuildTypes(BaseModel):
function_code: str
type_code: str
lang: str
type_name: str
def init_api_enums_build_types(db_session):
BuildTypes.set_session(db_session)
ApiEnumDropdown.set_session(db_session)
insert_types = [
{
"function_code": "EVYOS",
"type_code": "APT_KZN",
"type_name": "Apartman Kazan Dairesi",
"lang": "TR",
},
{
"function_code": "EVYOS",
"type_code": "APT_GRJ",
"type_name": "Apartman Garaj",
"lang": "TR",
},
{
"function_code": "EVYOS",
"type_code": "APT_DP",
"type_name": "Apartman Depo",
"lang": "TR",
},
{
"function_code": "EVYOS",
"type_code": "DAIRE",
"type_name": "Apartman Dairesi",
"lang": "TR",
},
{
"function_code": "EVYOS",
"type_code": "APT",
"type_name": "Apartman Binası",
"lang": "TR",
},
{
"function_code": "EVYOS",
"type_code": "APT_YNT",
"type_name": "Apartman Yönetimi",
"lang": "TR",
},
{
"function_code": "EVYOS",
"type_code": "APT_PRK",
"type_name": "Apartman Açık Park Alanı",
"lang": "TR",
},
{
"function_code": "EVYOS",
"type_code": "APT_YSL",
"type_name": "Apartman Yeşil Alan",
"lang": "TR",
},
{
"function_code": "EVYOS",
"type_code": "APT_YOL",
"type_name": "Apartman Ara Yol",
"lang": "TR",
},
]
for insert_type in insert_types:
build_types = InsertBuildTypes(
function_code="EVYOS",
lang=insert_type["lang"],
type_code=str(insert_type["type_code"]).upper(),
type_name=insert_type["type_name"],
)
created_build_type = BuildTypes.query.filter_by(
function_code=build_types.function_code,
type_code=build_types.type_code,
).first()
if not created_build_type:
created_build_type = BuildTypes.find_or_create(
**build_types.model_dump(), is_confirmed=True, db=db_session
)
created_build_type.save()
insert_enums = [
{"enum_class": "BuildDuesTypes", "type_code": "BDT-D", "type_name": "Debit"},
{
"enum_class": "BuildDuesTypes",
"type_code": "BDT-A",
"type_name": "Add Debit",
},
{
"enum_class": "BuildDuesTypes",
"type_code": "BDT-R",
"type_name": "Renovation",
},
{
"enum_class": "BuildDuesTypes",
"type_code": "BDT-L",
"type_name": "Lawyer expence",
},
{
"enum_class": "BuildDuesTypes",
"type_code": "BDT-S",
"type_name": "Service fee",
},
{
"enum_class": "BuildDuesTypes",
"type_code": "BDT-I",
"type_name": "Information",
},
{
"enum_class": "AccountingReceiptTypes",
"type_code": "ART-A",
"type_name": "Kasa Tahsil Fişi",
},
{
"enum_class": "AccountingReceiptTypes",
"type_code": "ART-E",
"type_name": "Kasa Tediye Fişi",
},
{
"enum_class": "AccountingReceiptTypes",
"type_code": "ART-M",
"type_name": "Mahsup Fişi",
},
{
"enum_class": "AccountingReceiptTypes",
"type_code": "ART-O",
"type_name": "ılış Fişi",
},
{
"enum_class": "AccountingReceiptTypes",
"type_code": "ART-C",
"type_name": "Kapanış Fişi",
},
{"enum_class": "IbanBudgetType", "type_code": "IBT-I", "type_name": "Iban"},
{"enum_class": "IbanBudgetType", "type_code": "IBT-B", "type_name": "Budget"},
{
"enum_class": "IbanBudgetType",
"type_code": "IBT-TR",
"type_name": "Transaction records",
},
{"enum_class": "ProjectTypes", "type_code": "R", "type_name": "Tadilat"},
{
"enum_class": "ProjectTypes",
"type_code": "PT-C",
"type_name": "Mahkeme süreçleri",
},
{
"enum_class": "ProjectTypes",
"type_code": "PT-Z",
"type_name": "Sıfır Bakiye",
},
{
"enum_class": "EdmBudgetType",
"type_code": "PT-B",
"type_name": "Banka records",
},
{
"enum_class": "EdmBudgetType",
"type_code": "PT-S",
"type_name": "Sistem kaydı",
},
{
"enum_class": "EdmBudgetType",
"type_code": "EBT-C",
"type_name": "Build, Flat or Site records",
},
{"enum_class": "ExpireType", "type_code": "1", "type_name": "daily"},
{"enum_class": "ExpireType", "type_code": "7", "type_name": "weekly"},
{"enum_class": "ExpireType", "type_code": "30", "type_name": "monthly"},
{"enum_class": "ExpireType", "type_code": "90", "type_name": "quarter"},
{"enum_class": "ExpireType", "type_code": "180", "type_name": "six_month"},
{"enum_class": "ExpireType", "type_code": "365", "type_name": "yearly"},
{"enum_class": "PhoneType", "type_code": "M", "type_name": "cep tel"},
{"enum_class": "PhoneType", "type_code": "L", "type_name": "sabit telefon"},
{"enum_class": "PhoneType", "type_code": "F", "type_name": "fax"},
{"enum_class": "PhoneType", "type_code": "C", "type_name": "santral"},
{
"enum_class": "PhoneType",
"type_code": "G",
"type_name": "ülke genelindeki hatlar 444",
},
{"enum_class": "PerComType", "type_code": "1", "type_name": "Person"},
{"enum_class": "PerComType", "type_code": "2", "type_name": "Company"},
{"enum_class": "Directions", "type_code": "NN", "type_name": "North"},
{"enum_class": "Directions", "type_code": "EE", "type_name": "East"},
{"enum_class": "Directions", "type_code": "SS", "type_name": "South"},
{"enum_class": "Directions", "type_code": "WW", "type_name": "West"},
{"enum_class": "Directions", "type_code": "NE", "type_name": "North East"},
{"enum_class": "Directions", "type_code": "NW", "type_name": "North West"},
{"enum_class": "Directions", "type_code": "SE", "type_name": "South East"},
{"enum_class": "Directions", "type_code": "SW", "type_name": "South West"},
{
"enum_class": "MeetingTypes",
"type_code": "MT-RBM",
"type_name": "Regular Building Meeting",
},
{
"enum_class": "MeetingTypes",
"type_code": "MT-DBM",
"type_name": "Disaster Building Meeting",
},
{
"enum_class": "MeetingTypes",
"type_code": "MT-EBM",
"type_name": "Emergency Building Meeting",
},
{
"enum_class": "DebitTypes",
"type_code": "DT-D",
"type_name": "Debit Sender",
},
{
"enum_class": "DebitTypes",
"type_code": "DT-R",
"type_name": "Credit Receiver",
},
{
"enum_class": "DebitTypes",
"type_code": "DT-Z",
"type_name": "Zero Balance",
},
{
"enum_class": "TimePeriod",
"type_code": "TP-W",
"type_name": "Weekly",
},
{
"enum_class": "TimePeriod",
"type_code": "TP-M",
"type_name": "Monthly",
},
{
"enum_class": "TimePeriod",
"type_code": "TP-Q",
"type_name": "Quarterly",
},
{
"enum_class": "TimePeriod",
"type_code": "TP-Y",
"type_name": "Yearly",
},
]
for insert_enum in insert_enums:
created_api_enum = ApiEnumDropdown.query.filter_by(
enum_class=insert_enum["enum_class"],
key=str(insert_enum["type_code"]).upper(),
).first()
if not created_api_enum:
created_api_enum = ApiEnumDropdown.create(
enum_class=insert_enum["enum_class"],
value=insert_enum["type_name"],
key=str(insert_enum["type_code"]).upper(),
description=insert_enum["type_name"],
is_confirmed=True,
)
created_api_enum.save()

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import arrow
from modules.Token.password_module import PasswordModule
from api_controllers.mongo.database import mongo_handler
from schemas import (
Addresses,
BuildLivingSpace,
Users,
People,
Build,
BuildParts,
BuildTypes,
ApiEnumDropdown,
Companies,
OccupantTypes,
)
def create_occupant_defaults(db_session):
created_list = []
Addresses.set_session(db_session)
BuildLivingSpace.set_session(db_session)
Users.set_session(db_session)
People.set_session(db_session)
Build.set_session(db_session)
BuildParts.set_session(db_session)
BuildTypes.set_session(db_session)
ApiEnumDropdown.set_session(db_session)
Companies.set_session(db_session)
OccupantTypes.set_session(db_session)
company_management = Companies.query.filter_by(formal_name = "Evyos LTD",).first()
if not company_management:
raise Exception("Company not found")
company_id, company_uu_id = company_management.id, str(company_management.uu_id)
active_row = dict(is_confirmed=True, active=True, deleted=False, is_notification_send=True)
build_type = BuildTypes.query.filter_by(type_code = "APT").first()
address = Addresses.query.filter_by(letter_address = "Example Address").first()
created_build = Build.query.filter_by(build_name = "Build Example").first()
if not created_build:
created_build = Build.create(
build_name="Build Example",
build_code="B001",
build_no="B001",
build_date="01.07.1980",
address_id=address.id,
address_uu_id=str(address.uu_id),
build_types_id=build_type.id,
build_types_uu_id=str(build_type.uu_id),
**active_row
)
created_list.append(created_build)
build_type_created = BuildTypes.query.filter_by(type_code = "APT").first()
build_type_flat = BuildTypes.query.filter_by(type_code = "DAIRE").first()
enum_dropdown = ApiEnumDropdown.query.filter_by(key = "NE", enum_class = "Directions").first()
occupant_type_prs = OccupantTypes.query.filter_by(occupant_code = "MT-PRS").first()
occupant_type_owner = OccupantTypes.query.filter_by(occupant_code = "FL-OWN").first()
occupant_type_tenant = OccupantTypes.query.filter_by(occupant_code = "FL-TEN").first()
created_managment_room = BuildParts.query.filter_by(part_code = "MR001").first()
if not created_managment_room:
created_managment_room = BuildParts.create(
address_gov_code="123123123123",
build_id=created_build.id,
build_uu_id=str(created_build.uu_id),
part_code="MR001",
part_net_size=100,
part_no=0,
part_level=0,
part_type_id=build_type_created.id,
part_type_uu_id=str(build_type_created.uu_id),
part_direction_id=enum_dropdown.id,
part_direction_uu_id=str(enum_dropdown.uu_id),
human_livable=True,
due_part_key="Example",
**active_row,
)
created_list.append(created_managment_room)
created_flat = BuildParts.query.filter_by(part_code = "MF001").first()
if not created_flat:
created_flat = BuildParts.create(
address_gov_code="123123123124",
build_id=created_build.id,
build_uu_id=str(created_build.uu_id),
part_code="MF001",
part_net_size=100,
part_no=1,
part_level=1,
part_type_id=build_type_flat.id,
part_type_uu_id=str(build_type_flat.uu_id),
part_direction_id=enum_dropdown.id,
part_direction_uu_id=str(enum_dropdown.uu_id),
human_livable=True,
due_part_key="Example",
**active_row,
)
created_list.append(created_flat)
build_manager_people = People.query.filter_by(person_tag = "Build Manager Example").first()
if not build_manager_people:
build_manager_people = People.create(
**{
"person_tag": "Build Manager Example",
"firstname": "Example Build Manager",
"surname": "Example",
"sex_code": "M",
"middle_name": "",
"father_name": "Father",
"mother_name": "Mother",
"country_code": "TR",
"national_identity_id": "12312312315",
"birth_place": "Ankara",
"birth_date": "01.07.1990",
"tax_no": "1231231234",
}
)
created_list.append(build_manager_people)
owner_people = People.query.filter_by(person_tag = "Owner Example").first()
if not owner_people:
owner_people = People.create(
**{
"person_tag": "Owner Example",
"firstname": "Example Owner",
"surname": "Example",
"sex_code": "M",
"middle_name": "",
"father_name": "Father",
"mother_name": "Mother",
"country_code": "TR",
"national_identity_id": "12312312316",
"birth_place": "Ankara",
"birth_date": "01.07.1990",
"tax_no": "1231231234",
}
)
created_list.append(owner_people)
tenant_people = People.query.filter_by(person_tag = "Tenant Example").first()
if not tenant_people:
tenant_people = People.create(
**{
"person_tag": "Tenant Example",
"firstname": "Example Tenant",
"surname": "Example",
"sex_code": "M",
"middle_name": "",
"father_name": "Father",
"mother_name": "Mother",
"country_code": "TR",
"national_identity_id": "12312312317",
"birth_place": "Ankara",
"birth_date": "01.07.1990",
"tax_no": "1231231234",
}
)
created_list.append(tenant_people)
main_domain, collection_name = "evyos.com.tr", f"{str(company_management.uu_id)}*Domain"
user_build_manager = Users.query.filter_by(user_tag = "Build Manager Example").first()
if not user_build_manager:
user_build_manager = Users.create(
person_id=build_manager_people.id,
person_uu_id=str(build_manager_people.uu_id),
user_tag=build_manager_people.person_tag,
email="example.build.manager@gmail.com",
phone_number="+901111111111",
avatar="https://s.tmimgcdn.com/scr/800x500/276800/building-home-nature-logo-vector-template-3_276851-original.jpg",
related_company=str(company_management.uu_id),
**active_row,
)
created_list.append(user_build_manager)
user_build_manager.password_expiry_begins = str(arrow.now())
user_build_manager.password_token = PasswordModule.generate_refresher_token()
user_owner = Users.query.filter_by(user_tag = "Owner Example").first()
if not user_owner:
user_owner = Users.create(
person_id=owner_people.id,
person_uu_id=str(owner_people.uu_id),
user_tag=owner_people.person_tag,
email="example.owner@gmail.com",
phone_number="+901111111111",
avatar="https://s.tmimgcdn.com/scr/800x500/276800/building-home-nature-logo-vector-template-3_276851-original.jpg",
related_company=str(company_management.uu_id),
**active_row,
)
created_list.append(user_owner)
user_owner.password_expiry_begins = str(arrow.now())
user_owner.password_token = PasswordModule.generate_refresher_token()
user_tenant = Users.query.filter_by(user_tag = "Tenant Example").first()
if not user_tenant:
user_tenant = Users.create(
person_id=tenant_people.id,
person_uu_id=str(tenant_people.uu_id),
user_tag=tenant_people.person_tag,
email="example.tenant@gmail.com",
phone_number="+901111111111",
avatar="https://s.tmimgcdn.com/scr/800x500/276800/building-home-nature-logo-vector-template-3_276851-original.jpg",
related_company=str(company_management.uu_id),
**active_row,
)
created_list.append(user_tenant)
user_tenant.password_expiry_begins = str(arrow.now())
user_tenant.password_token = PasswordModule.generate_refresher_token()
with mongo_handler.collection(collection_name) as mongo_engine:
existing_record = mongo_engine.find_one({"user_uu_id": str(user_build_manager.uu_id)})
if not existing_record:
mongo_engine.insert_one(
document={"user_uu_id": str(user_build_manager.uu_id), "other_domains_list": [main_domain], "main_domain": main_domain, "modified_at": arrow.now().timestamp()}
)
else:
mongo_engine.update_one(
{"user_uu_id": str(user_build_manager.uu_id)},
{"$set": {"other_domains_list": [main_domain], "main_domain": main_domain, "modified_at": arrow.now().timestamp()}}
)
with mongo_handler.collection(collection_name) as mongo_engine:
existing_record = mongo_engine.find_one({"user_uu_id": str(user_owner.uu_id)})
if not existing_record:
mongo_engine.insert_one(
document={"user_uu_id": str(user_owner.uu_id), "other_domains_list": [main_domain], "main_domain": main_domain, "modified_at": arrow.now().timestamp()}
)
else:
mongo_engine.update_one(
{"user_uu_id": str(user_owner.uu_id)},
{"$set": {"other_domains_list": [main_domain], "main_domain": main_domain, "modified_at": arrow.now().timestamp()}}
)
with mongo_handler.collection(collection_name) as mongo_engine:
existing_record = mongo_engine.find_one({"user_uu_id": str(user_tenant.uu_id)})
if not existing_record:
mongo_engine.insert_one(
document={"user_uu_id": str(user_tenant.uu_id), "other_domains_list": [main_domain], "main_domain": main_domain, "modified_at": arrow.now().timestamp()}
)
else:
mongo_engine.update_one(
{"user_uu_id": str(user_tenant.uu_id)},
{"$set": {"other_domains_list": [main_domain], "main_domain": main_domain, "modified_at": arrow.now().timestamp()}})
created_build_living_space_prs = BuildLivingSpace.query.filter_by(
build_id=created_build.id, build_parts_id=created_managment_room.id, person_id=build_manager_people.id
).first()
if not created_build_living_space_prs:
created_build_living_space_prs = BuildLivingSpace.create(
build_id=created_build.id,
build_uu_id=str(created_build.uu_id),
build_parts_id=created_managment_room.id,
build_parts_uu_id=str(created_managment_room.uu_id),
person_id=build_manager_people.id,
person_uu_id=str(build_manager_people.uu_id),
occupant_type_id=occupant_type_prs.id,
occupant_type_uu_id=str(occupant_type_prs.uu_id),
**active_row,
)
created_list.append(created_build_living_space_prs)
created_build_living_space_owner = BuildLivingSpace.query.filter_by(
build_id=created_build.id, build_parts_id=created_flat.id, person_id=owner_people.id
).first()
if not created_build_living_space_owner:
created_build_living_space_owner = BuildLivingSpace.create(
build_id=created_build.id,
build_uu_id=str(created_build.uu_id),
build_parts_id=created_flat.id,
build_parts_uu_id=str(created_flat.uu_id),
person_id=owner_people.id,
person_uu_id=str(owner_people.uu_id),
occupant_type_id=occupant_type_owner.id,
occupant_type_uu_id=str(occupant_type_owner.uu_id),
**active_row,
)
created_list.append(created_build_living_space_owner)
created_build_living_space_tenant = BuildLivingSpace.query.filter_by(
build_id=created_build.id, build_parts_id=created_flat.id, person_id=tenant_people.id
).first()
if not created_build_living_space_tenant:
created_build_living_space_tenant = BuildLivingSpace.create(
build_id=created_build.id,
build_uu_id=str(created_build.uu_id),
build_parts_id=created_flat.id,
build_parts_uu_id=str(created_flat.uu_id),
person_id=tenant_people.id,
person_uu_id=str(tenant_people.uu_id),
occupant_type_id=occupant_type_tenant.id,
occupant_type_uu_id=str(occupant_type_tenant.uu_id),
**active_row,
)
created_list.append(created_build_living_space_tenant)
db_session.commit()
print("Occupant Defaults Create is now completed")

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from schemas import OccupantTypes
def create_occupant_types_defaults(db_session):
"""
occupant_category = mapped_column(String, server_default="")
occupant_category_type = mapped_column(String, server_default="")
occupant_is_unique = mapped_column(Boolean, server_default="0")
"""
OccupantTypes.set_session(db_session)
list_occupant_types = [
{
"occupant_type": "Toplantı Başkanı",
"occupant_description": "Toplantı Başkanı",
"occupant_code": "MT-PRS",
"occupant_category": "Toplantı",
"occupant_category_type": "MT",
"occupant_is_unique": True,
},
{
"occupant_type": "Toplantı Katip",
"occupant_description": "Toplantıda tutanak tutan kişi",
"occupant_code": "MT-WRT",
"occupant_category": "Toplantı",
"occupant_category_type": "MT",
"occupant_is_unique": True,
},
{
"occupant_type": "Toplantı Katılımcısı",
"occupant_description": "Toplantıda sadece katılan kişi",
"occupant_code": "MT-ATT",
"occupant_category": "Toplantı",
"occupant_category_type": "MT",
"occupant_is_unique": False,
},
{
"occupant_type": "Toplantı Danışman",
"occupant_description": "Toplantıda danışmanlık yapan kişi",
"occupant_code": "MT-ADV",
"occupant_category": "Toplantı",
"occupant_category_type": "MT",
"occupant_is_unique": False,
},
{
"occupant_type": "Toplantı Seçilmiş Başkanı",
"occupant_description": "Toplantı Seçilmiş Başkanı",
"occupant_code": "MT-VPR",
"occupant_category": "Toplantı",
"occupant_category_type": "MT",
"occupant_is_unique": True,
},
{
"occupant_type": "Daire Sahibi",
"occupant_description": "Daire Sahibi",
"occupant_code": "FL-OWN",
"occupant_category": "Daire",
"occupant_category_type": "FL",
"occupant_is_unique": True,
},
{
"occupant_type": "Daire Kiracısı",
"occupant_description": "Daire Kiracısı",
"occupant_code": "FL-TEN",
"occupant_category": "Daire",
"occupant_category_type": "FL",
"occupant_is_unique": True,
},
{
"occupant_type": "Daire Sakini",
"occupant_description": "Daire Sakini",
"occupant_code": "FL-RES",
"occupant_category": "Daire",
"occupant_category_type": "FL",
"occupant_is_unique": False,
},
{
"occupant_type": "Daire Sakini Vekili",
"occupant_description": "Daire Sakini Vekili",
"occupant_code": "FL-REP",
"occupant_category": "Daire",
"occupant_category_type": "FL",
"occupant_is_unique": False,
},
{
"occupant_type": "Bina Avukatı",
"occupant_description": "Bina Avukatı",
"occupant_code": "BU-ATT",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": False,
},
{
"occupant_type": "Bina Avukatı Yardımcısı",
"occupant_description": "Bina Avukatı Yardımcısı",
"occupant_code": "BU-ATA",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": False,
},
{
"occupant_type": "Bina Denetmen Yardımcısı",
"occupant_description": "Bina Denetmen Yardımcısı",
"occupant_code": "BU-SPA",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": False,
},
{
"occupant_type": "Bina Denetmeni",
"occupant_description": "Bina Denetmeni",
"occupant_code": "BU-SPV",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": False,
},
{
"occupant_type": "Bina Yönetici Yardımcısı",
"occupant_description": "Bina Yönetici Yardımcısı",
"occupant_code": "BU-MNA",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": False,
},
{
"occupant_type": "Bina Yöneticisi",
"occupant_description": "Bina Yöneticisi",
"occupant_code": "BU-MNG",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": True,
},
{
"occupant_type": "Bina Muhasabecisi",
"occupant_description": "Bina Muhasabecisi",
"occupant_code": "BU-ACC",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": False,
},
{
"occupant_type": "Proje Lideri",
"occupant_description": "Proje Lideri",
"occupant_code": "PRJ-LDR",
"occupant_category": "Proje",
"occupant_category_type": "PRJ",
"occupant_is_unique": False,
},
{
"occupant_type": "Proje Sorumlusu",
"occupant_description": "Proje Sorumlusu",
"occupant_code": "PRJ-RES",
"occupant_category": "Proje",
"occupant_category_type": "PRJ",
"occupant_is_unique": False,
},
{
"occupant_type": "Proje Ekibi",
"occupant_description": "Proje Ekibi",
"occupant_code": "PRJ-EMP",
"occupant_category": "Proje",
"occupant_category_type": "PRJ",
"occupant_is_unique": False,
},
{
"occupant_type": "Proje Finans Sorumlusu",
"occupant_description": "Proje Finans Sorumlusu",
"occupant_code": "PRJ-FIN",
"occupant_category": "Proje",
"occupant_category_type": "PRJ",
"occupant_is_unique": False,
},
{
"occupant_type": "Proje Teknik Sorumlusu",
"occupant_description": "Proje Teknik Sorumlusu",
"occupant_code": "PRJ-TEC",
"occupant_category": "Proje",
"occupant_category_type": "PRJ",
"occupant_is_unique": False,
},
{
"occupant_type": "Daire Mülkiyet Vekili",
"occupant_description": "Daire Mülkiyet Vekili",
"occupant_code": "FL-DEP", # deputy
"occupant_category": "Daire",
"occupant_category_type": "FL",
"occupant_is_unique": False,
},
{
"occupant_type": "Bina Teknik Sorumlusu",
"occupant_description": "Bina Teknik Sorumlusu",
"occupant_code": "BU-TEC",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": False,
},
{
"occupant_type": "Bina Teknik Elemanı",
"occupant_description": "Bina Teknik Elemanı",
"occupant_code": "BU-EMP",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": False,
},
{
"occupant_type": "Bina Teknik Freelancer",
"occupant_description": "Bina Teknik Freelancer",
"occupant_code": "BU-FLC",
"occupant_category": "Bina",
"occupant_category_type": "BU",
"occupant_is_unique": False,
},
]
for list_occupant_type in list_occupant_types:
try:
created_type = OccupantTypes.query.filter_by(
occupant_code=list_occupant_type["occupant_code"],
occupant_category=list_occupant_type["occupant_category_type"],
).first()
if not created_type:
created_type = OccupantTypes.create(**list_occupant_type, is_confirmed=True)
created_type.save()
except Exception as e:
print(f"Error: {e}")

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from schemas import (
Duty,
OccupantTypes,
Modules,
Services,
)
def create_modules_and_services_and_actions(db_session):
Duty.set_session(db_session)
Services.set_session(db_session)
Modules.set_session(db_session)
OccupantTypes.set_session(db_session)
erp_module = Modules.query.filter_by(module_code = "EVYOS-ERP").first()
if not erp_module:
erp_module = Modules.create(
**{
"module_name": "EVYOS ERP", "module_description": "EVYOS Enterprise Resource Planning", "module_code": "EVYOS-ERP",
"module_layer": 1, "is_default_module": False, "is_confirmed": True,
}
)
erp_module.save()
build_module = Modules.query.filter_by(module_code = "BLD-MNG").first()
if not build_module:
build_module = Modules.create(
**{
"module_name": "Bina Yönetim Modülü", "module_description": "Building Management Module", "module_code": "BLD-MNG",
"module_layer": 1, "is_default_module": False, "is_confirmed": True,
}
)
build_module.save()
user_module = Modules.query.filter_by(module_code = "USR-PUB").first()
if not user_module:
user_module = Modules.create(
**{
"module_name": "Kullancı Modülü", "module_description": "Kullanıcı Genel Modülü", "module_code": "USR-PUB", "module_layer": 1,
"is_default_module": True, "is_confirmed": True
}
)
user_module.save()
erp_module_module_dict = dict(module_id=erp_module.id, module_uu_id=str(erp_module.uu_id))
build_module_module_dict = dict(module_id=build_module.id, module_uu_id=str(build_module.uu_id))
duty_objects = Duty.query.filter(Duty.module_id == erp_module.id).all()
if not duty_objects:
raise Exception("Duty objects not found")
for duty_object in duty_objects:
created_service = Services.query.filter(Services.service_code == f"SRE-{duty_object.duty_code}").first()
if not created_service:
created_service = Services.create(
**erp_module_module_dict,
service_name=duty_object.duty_name,
service_description=duty_object.duty_description,
service_code=f"SRE-{duty_object.duty_code}",
related_responsibility=duty_object.duty_code,
is_confirmed=True,
)
created_service.save()
occupant_types = OccupantTypes.query.filter(OccupantTypes.module_id == build_module.id).all()
if not occupant_types:
raise Exception("Occupant types not found")
for occupant_type in occupant_types:
created_service = Services.query.filter(Services.service_code == f"SRO-{occupant_type.occupant_code}").first()
if not created_service:
created_service = Services.create(
**build_module_module_dict,
service_name=occupant_type.occupant_type,
service_description=occupant_type.occupant_description,
service_code=f"SRO-{occupant_type.occupant_code}",
related_responsibility=occupant_type.occupant_code,
is_confirmed=True,
)
created_service.save()

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from pydantic_settings import BaseSettings, SettingsConfigDict
class Configs(BaseSettings):
"""
ApiTemplate configuration settings.
"""
ACCESS_TOKEN_LENGTH: int = 90
REFRESHER_TOKEN_LENGTH: int = 144
model_config = SettingsConfigDict(env_prefix="API_")
token_config = Configs()

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import hashlib
import uuid
import secrets
import random
from .config import token_config
class PasswordModule:
@staticmethod
def generate_random_uu_id(str_std: bool = True):
return str(uuid.uuid4()) if str_std else uuid.uuid4()
@staticmethod
def generate_token(length=32) -> str:
letters = "abcdefghijklmnopqrstuvwxyz"
merged_letters = [letter for letter in letters] + [
letter.upper() for letter in letters
]
token_generated = secrets.token_urlsafe(length)
for i in str(token_generated):
if i not in merged_letters:
token_generated = token_generated.replace(
i, random.choice(merged_letters), 1
)
return token_generated
raise ValueError("EYS_0004")
@classmethod
def generate_access_token(cls) -> str:
return cls.generate_token(int(token_config.ACCESS_TOKEN_LENGTH))
@classmethod
def generate_refresher_token(cls) -> str:
return cls.generate_token(int(token_config.REFRESHER_TOKEN_LENGTH))
@staticmethod
def create_hashed_password(domain: str, id_: str, password: str) -> str:
return hashlib.sha256(f"{domain}:{id_}:{password}".encode("utf-8")).hexdigest()
@classmethod
def check_password(cls, domain, id_, password, password_hashed) -> bool:
return cls.create_hashed_password(domain, id_, password) == password_hashed

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# Database Handlers
This directory contains database handlers for MongoDB and PostgreSQL used in the backend automate services.
## Overview
The database handlers provide a consistent interface for interacting with different database systems. They implement:
- Connection pooling
- Retry mechanisms
- Error handling
- Thread safety
- Context managers for resource management
## MongoDB Handler
The MongoDB handler is implemented as a singleton pattern to ensure efficient connection management across the application. It provides:
- Connection pooling via PyMongo's built-in connection pool
- Automatic retry capabilities for MongoDB operations
- Context manager for MongoDB collections to ensure connections are properly closed
- Thread safety for concurrent operations
### MongoDB Performance
The MongoDB handler has been tested with a concurrent load test:
```
Concurrent Operation Test Results:
Total threads: 100
Passed: 100
Failed: 0
Execution time: 0.73 seconds
Operations per second: 137.61
```
## PostgreSQL Handler
The PostgreSQL handler leverages SQLAlchemy for ORM capabilities and connection management. It provides:
- Connection pooling via SQLAlchemy's connection pool
- ORM models with CRUD operations
- Filter methods for querying data
- Transaction management
### PostgreSQL Performance
The PostgreSQL handler has been tested with a concurrent load test:
```
Concurrent Operation Test Results:
Total threads: 100
Passed: 100
Failed: 0
Execution time: 0.30 seconds
Operations per second: 332.11
```
## Usage Examples
### MongoDB Example
```python
from Controllers.Mongo.database import mongo_handler
# Using the context manager for automatic connection management
with mongo_handler.collection("users") as users_collection:
# Perform operations
users_collection.insert_one({"name": "John", "email": "john@example.com"})
user = users_collection.find_one({"email": "john@example.com"})
```
### PostgreSQL Example
```python
from Controllers.Postgres.schema import EndpointRestriction
# Using the session context manager
with EndpointRestriction.new_session() as db_session:
# Create a new record
new_endpoint = EndpointRestriction(
endpoint_code="TEST_API",
endpoint_name="Test API",
endpoint_method="GET",
endpoint_function="test_function",
endpoint_desc="Test description",
is_confirmed=True
)
new_endpoint.save(db=db_session)
# Query records
result = EndpointRestriction.filter_one(
EndpointRestriction.endpoint_code == "TEST_API",
db=db_session
).data
```
## Configuration
Both handlers are configured via environment variables:
### MongoDB Configuration
- `MONGO_ENGINE`: Database engine (mongodb)
- `MONGO_HOST`: Database host
- `MONGO_PORT`: Database port
- `MONGO_USER`: Database username
- `MONGO_PASSWORD`: Database password
- `MONGO_DB`: Database name
- `MONGO_AUTH_DB`: Authentication database
### PostgreSQL Configuration
- `POSTGRES_ENGINE`: Database engine (postgresql+psycopg2)
- `POSTGRES_HOST`: Database host
- `POSTGRES_PORT`: Database port
- `POSTGRES_USER`: Database username
- `POSTGRES_PASSWORD`: Database password
- `POSTGRES_DB`: Database name
- `POSTGRES_POOL_SIZE`: Connection pool size
- `POSTGRES_POOL_PRE_PING`: Whether to ping the database before using a connection
## Testing
Both handlers include comprehensive test suites that verify:
- Basic CRUD operations
- Complex queries
- Nested documents (MongoDB)
- Array operations (MongoDB)
- Aggregation (MongoDB)
- Index operations
- Concurrent operations
To run the tests:
```bash
# MongoDB tests
python -m Controllers.Mongo.implementations
# PostgreSQL tests
python -m Controllers.Postgres.implementations
```

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from pydantic_settings import BaseSettings, SettingsConfigDict
class Configs(BaseSettings):
"""
Email configuration settings.
"""
HOST: str = ""
USERNAME: str = ""
PASSWORD: str = ""
PORT: int = 0
SEND: bool = True
@property
def is_send(self):
return bool(self.SEND)
def as_dict(self):
return dict(
host=self.HOST,
port=self.PORT,
username=self.USERNAME,
password=self.PASSWORD,
)
model_config = SettingsConfigDict(env_prefix="EMAIL_")
# singleton instance of the POSTGRESQL configuration settings
email_configs = Configs()

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from send_email import EmailService, EmailSendModel
# Create email parameters
email_params = EmailSendModel(
subject="Test Email",
html="<p>Hello world!</p>",
receivers=["recipient@example.com"],
text="Hello world!",
)
another_email_params = EmailSendModel(
subject="Test Email2",
html="<p>Hello world!2</p>",
receivers=["recipient@example.com"],
text="Hello world!2",
)
# The context manager handles connection errors
with EmailService.new_session() as email_session:
# Send email - any exceptions here will propagate up
EmailService.send_email(email_session, email_params)
# Or send directly through the session
email_session.send(email_params)
# Send more emails in the same session if needed
EmailService.send_email(email_session, another_email_params)

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from redmail import EmailSender
from typing import List, Optional, Dict
from pydantic import BaseModel
from contextlib import contextmanager
from .config import email_configs
class EmailSendModel(BaseModel):
subject: str
html: str = ""
receivers: List[str]
text: Optional[str] = ""
cc: Optional[List[str]] = None
bcc: Optional[List[str]] = None
headers: Optional[Dict] = None
attachments: Optional[Dict] = None
class EmailSession:
def __init__(self, email_sender):
self.email_sender = email_sender
def send(self, params: EmailSendModel) -> bool:
"""Send email using this session."""
if not email_configs.is_send:
print("Email sending is disabled", params)
return False
receivers = [email_configs.USERNAME]
# Ensure connection is established before sending
try:
# Check if connection exists, if not establish it
if not hasattr(self.email_sender, '_connected') or not self.email_sender._connected:
self.email_sender.connect()
self.email_sender.send(
subject=params.subject,
receivers=receivers,
text=params.text + f" : Gonderilen [{str(receivers)}]",
html=params.html,
cc=params.cc,
bcc=params.bcc,
headers=params.headers or {},
attachments=params.attachments or {},
)
return True
except Exception as e:
print(f"Error sending email: {e}")
raise
class EmailService:
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super(EmailService, cls).__new__(cls)
return cls._instance
@classmethod
@contextmanager
def new_session(cls):
"""Create and yield a new email session with active connection."""
email_sender = EmailSender(**email_configs.as_dict())
session = EmailSession(email_sender)
connection_established = False
try:
# Establish connection and set flag
email_sender.connect()
# Set a flag to track connection state
email_sender._connected = True
connection_established = True
yield session
except Exception as e:
print(f"Error with email connection: {e}")
raise
finally:
# Only close if connection was successfully established
if connection_established:
try:
email_sender.close()
email_sender._connected = False
except Exception as e:
print(f"Error closing email connection: {e}")
@classmethod
def send_email(cls, session: EmailSession, params: EmailSendModel) -> bool:
"""Send email using the provided session."""
return session.send(params)

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# MongoDB Handler
A singleton MongoDB handler with context manager support for MongoDB collections and automatic retry capabilities.
## Features
- **Singleton Pattern**: Ensures only one instance of the MongoDB handler exists
- **Context Manager**: Automatically manages connection lifecycle
- **Retry Capability**: Automatically retries MongoDB operations on failure
- **Connection Pooling**: Configurable connection pooling
- **Graceful Degradation**: Handles connection failures without crashing
## Usage
```python
from Controllers.Mongo.database import mongo_handler
# Use the context manager to access a collection
with mongo_handler.collection("users") as users_collection:
# Perform operations on the collection
users_collection.insert_one({"username": "john", "email": "john@example.com"})
user = users_collection.find_one({"username": "john"})
# Connection is automatically closed when exiting the context
```
## Configuration
MongoDB connection settings are configured via environment variables with the `MONGO_` prefix:
- `MONGO_ENGINE`: Database engine (e.g., "mongodb")
- `MONGO_USER`: MongoDB username
- `MONGO_PASSWORD`: MongoDB password
- `MONGO_HOST`: MongoDB host
- `MONGO_PORT`: MongoDB port
- `MONGO_DB`: Database name
- `MONGO_AUTH_DB`: Authentication database
## Monitoring Connection Closure
To verify that MongoDB sessions are properly closed, you can implement one of the following approaches:
### 1. Add Logging to the `__exit__` Method
```python
def __exit__(self, exc_type, exc_val, exc_tb):
"""
Exit context, closing the connection.
"""
if self.client:
print(f"Closing MongoDB connection for collection: {self.collection_name}")
# Or use a proper logger
# logger.info(f"Closing MongoDB connection for collection: {self.collection_name}")
self.client.close()
self.client = None
self.collection = None
print(f"MongoDB connection closed successfully")
```
### 2. Add Connection Tracking
```python
class MongoDBHandler:
# Add these to your class
_open_connections = 0
def get_connection_stats(self):
"""Return statistics about open connections"""
return {"open_connections": self._open_connections}
```
Then modify the `CollectionContext` class:
```python
def __enter__(self):
try:
# Create a new client connection
self.client = MongoClient(self.db_handler.uri, **self.db_handler.client_options)
# Increment connection counter
self.db_handler._open_connections += 1
# Rest of your code...
def __exit__(self, exc_type, exc_val, exc_tb):
if self.client:
# Decrement connection counter
self.db_handler._open_connections -= 1
self.client.close()
self.client = None
self.collection = None
```
### 3. Use MongoDB's Built-in Monitoring
```python
from pymongo import monitoring
class ConnectionCommandListener(monitoring.CommandListener):
def started(self, event):
print(f"Command {event.command_name} started on server {event.connection_id}")
def succeeded(self, event):
print(f"Command {event.command_name} succeeded in {event.duration_micros} microseconds")
def failed(self, event):
print(f"Command {event.command_name} failed in {event.duration_micros} microseconds")
# Register the listener
monitoring.register(ConnectionCommandListener())
```
### 4. Add a Test Function
```python
def test_connection_closure():
"""Test that MongoDB connections are properly closed."""
print("\nTesting connection closure...")
# Record initial connection count (if you implemented the counter)
initial_count = mongo_handler.get_connection_stats()["open_connections"]
# Use multiple nested contexts
for i in range(5):
with mongo_handler.collection("test_collection") as collection:
# Do some simple operation
collection.find_one({})
# Check final connection count
final_count = mongo_handler.get_connection_stats()["open_connections"]
if final_count == initial_count:
print("Test passed: All connections were properly closed")
return True
else:
print(f"Test failed: {final_count - initial_count} connections remain open")
return False
```
### 5. Use MongoDB Server Logs
You can also check the MongoDB server logs to see connection events:
```bash
# Run this on your MongoDB server
tail -f /var/log/mongodb/mongod.log | grep "connection"
```
## Best Practices
1. Always use the context manager pattern to ensure connections are properly closed
2. Keep operations within the context manager as concise as possible
3. Handle exceptions within the context to prevent unexpected behavior
4. Avoid nesting multiple context managers unnecessarily
5. Use the retry decorator for operations that might fail due to transient issues
## LXC Container Configuration
### Authentication Issues
If you encounter authentication errors when connecting to the MongoDB container at 10.10.2.13:27017, you may need to update the container configuration:
1. **Check MongoDB Authentication**: Ensure the MongoDB container is configured with the correct authentication mechanism
2. **Verify Network Configuration**: Make sure the container network allows connections from your application
3. **Update MongoDB Configuration**:
- Edit the MongoDB configuration file in the container
- Ensure `bindIp` is set correctly (e.g., `0.0.0.0` to allow connections from any IP)
- Check that authentication is enabled with the correct mechanism
4. **User Permissions**:
- Verify that the application user (`appuser`) exists in the MongoDB instance
- Ensure the user has the correct roles and permissions for the database
### Example MongoDB Container Configuration
```yaml
# Example docker-compose.yml configuration
services:
mongodb:
image: mongo:latest
container_name: mongodb
environment:
- MONGO_INITDB_ROOT_USERNAME=admin
- MONGO_INITDB_ROOT_PASSWORD=password
volumes:
- ./init-mongo.js:/docker-entrypoint-initdb.d/init-mongo.js:ro
ports:
- "27017:27017"
command: mongod --auth
```
```javascript
// Example init-mongo.js
db.createUser({
user: 'appuser',
pwd: 'apppassword',
roles: [
{ role: 'readWrite', db: 'appdb' }
]
});
```
## Troubleshooting
### Common Issues
1. **Authentication Failed**:
- Verify username and password in environment variables
- Check that the user exists in the specified authentication database
- Ensure the user has appropriate permissions
2. **Connection Refused**:
- Verify the MongoDB host and port are correct
- Check network connectivity between application and MongoDB container
- Ensure MongoDB is running and accepting connections
3. **Resource Leaks**:
- Use the context manager pattern to ensure connections are properly closed
- Monitor connection pool size and active connections
- Implement proper error handling to close connections in case of exceptions

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import os
from pydantic_settings import BaseSettings, SettingsConfigDict
class Configs(BaseSettings):
"""
MongoDB configuration settings.
"""
# MongoDB connection settings
ENGINE: str = "mongodb"
USERNAME: str = "appuser" # Application user
PASSWORD: str = "apppassword" # Application password
HOST: str = "10.10.2.13"
PORT: int = 27017
DB: str = "appdb" # The application database
AUTH_DB: str = "appdb" # Authentication is done against admin database
@property
def url(self):
"""Generate the database URL.
mongodb://{MONGO_USERNAME}:{MONGO_PASSWORD}@{MONGO_HOST}:{MONGO_PORT}/{DB}?authSource={MONGO_AUTH_DB}
"""
# Include the database name in the URI
return f"{self.ENGINE}://{self.USERNAME}:{self.PASSWORD}@{self.HOST}:{self.PORT}/{self.DB}?authSource={self.DB}"
model_config = SettingsConfigDict(env_prefix="_MONGO_")
# Create a singleton instance of the MongoDB configuration settings
mongo_configs = Configs()

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import time
import functools
from pymongo import MongoClient
from pymongo.errors import PyMongoError
from .config import mongo_configs
def retry_operation(max_attempts=3, delay=1.0, backoff=2.0, exceptions=(PyMongoError,)):
"""
Decorator for retrying MongoDB operations with exponential backoff.
Args:
max_attempts: Maximum number of retry attempts
delay: Initial delay between retries in seconds
backoff: Multiplier for delay after each retry
exceptions: Tuple of exceptions to catch and retry
"""
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
mtries, mdelay = max_attempts, delay
while mtries > 1:
try:
return func(*args, **kwargs)
except exceptions as e:
time.sleep(mdelay)
mtries -= 1
mdelay *= backoff
return func(*args, **kwargs)
return wrapper
return decorator
class MongoDBHandler:
"""
A MongoDB handler that provides context manager access to specific collections
with automatic retry capability. Implements singleton pattern.
"""
_instance = None
_debug_mode = False # Set to True to enable debug mode
def __new__(cls, *args, **kwargs):
"""
Implement singleton pattern for the handler.
"""
if cls._instance is None:
cls._instance = super(MongoDBHandler, cls).__new__(cls)
cls._instance._initialized = False
return cls._instance
def __init__(self, debug_mode=False, mock_mode=False):
"""Initialize the MongoDB handler.
Args:
debug_mode: If True, use a simplified connection for debugging
mock_mode: If True, use mock collections instead of real MongoDB connections
"""
if not hasattr(self, "_initialized") or not self._initialized:
self._debug_mode = debug_mode
self._mock_mode = mock_mode
if mock_mode:
# In mock mode, we don't need a real connection string
self.uri = "mongodb://mock:27017/mockdb"
print("MOCK MODE: Using simulated MongoDB connections")
elif debug_mode:
# Use a direct connection without authentication for testing
self.uri = f"mongodb://{mongo_configs.HOST}:{mongo_configs.PORT}/{mongo_configs.DB}"
print(f"DEBUG MODE: Using direct connection: {self.uri}")
else:
# Use the configured connection string with authentication
self.uri = mongo_configs.url
print(f"Connecting to MongoDB: {self.uri}")
# Define MongoDB client options with increased timeouts for better reliability
self.client_options = {
"maxPoolSize": 5,
"minPoolSize": 1,
"maxIdleTimeMS": 60000,
"waitQueueTimeoutMS": 5000,
"serverSelectionTimeoutMS": 10000,
"connectTimeoutMS": 30000,
"socketTimeoutMS": 45000,
"retryWrites": True,
"retryReads": True,
}
self._initialized = True
def collection(self, collection_name: str):
"""
Get a context manager for a specific collection.
Args:
collection_name: Name of the collection to access
Returns:
A context manager for the specified collection
"""
return CollectionContext(self, collection_name)
class CollectionContext:
"""
Context manager for MongoDB collections with automatic retry capability.
"""
def __init__(self, db_handler: MongoDBHandler, collection_name: str):
"""
Initialize collection context.
Args:
db_handler: Reference to the MongoDB handler
collection_name: Name of the collection to access
"""
self.db_handler = db_handler
self.collection_name = collection_name
self.client = None
self.collection = None
def __enter__(self):
"""
Enter context, establishing a new connection.
Returns:
The MongoDB collection object with retry capabilities
"""
# If we're in mock mode, return a mock collection immediately
if self.db_handler._mock_mode:
return self._create_mock_collection()
try:
# Create a new client connection
self.client = MongoClient(
self.db_handler.uri, **self.db_handler.client_options
)
if self.db_handler._debug_mode:
# In debug mode, we explicitly use the configured DB
db_name = mongo_configs.DB
print(f"DEBUG MODE: Using database '{db_name}'")
else:
# In normal mode, extract database name from the URI
try:
db_name = self.client.get_database().name
except Exception:
db_name = mongo_configs.DB
print(f"Using fallback database '{db_name}'")
self.collection = self.client[db_name][self.collection_name]
# Enhance collection methods with retry capabilities
self._add_retry_capabilities()
return self.collection
except pymongo.errors.OperationFailure as e:
if "Authentication failed" in str(e):
print(f"MongoDB authentication error: {e}")
print("Attempting to reconnect with direct connection...")
try:
# Try a direct connection without authentication for testing
direct_uri = f"mongodb://{mongo_configs.HOST}:{mongo_configs.PORT}/{mongo_configs.DB}"
print(f"Trying direct connection: {direct_uri}")
self.client = MongoClient(
direct_uri, **self.db_handler.client_options
)
self.collection = self.client[mongo_configs.DB][
self.collection_name
]
self._add_retry_capabilities()
return self.collection
except Exception as inner_e:
print(f"Direct connection also failed: {inner_e}")
# Fall through to mock collection creation
else:
print(f"MongoDB operation error: {e}")
if self.client:
self.client.close()
self.client = None
except Exception as e:
print(f"MongoDB connection error: {e}")
if self.client:
self.client.close()
self.client = None
return self._create_mock_collection()
def _create_mock_collection(self):
"""
Create a mock collection for testing or graceful degradation.
This prevents the application from crashing when MongoDB is unavailable.
Returns:
A mock MongoDB collection with simulated behaviors
"""
from unittest.mock import MagicMock
if self.db_handler._mock_mode:
print(f"MOCK MODE: Using mock collection '{self.collection_name}'")
else:
print(
f"Using mock MongoDB collection '{self.collection_name}' for graceful degradation"
)
# Create in-memory storage for this mock collection
if not hasattr(self.db_handler, "_mock_storage"):
self.db_handler._mock_storage = {}
if self.collection_name not in self.db_handler._mock_storage:
self.db_handler._mock_storage[self.collection_name] = []
mock_collection = MagicMock()
mock_data = self.db_handler._mock_storage[self.collection_name]
# Define behavior for find operations
def mock_find(query=None, *args, **kwargs):
# Simple implementation that returns all documents
return mock_data
def mock_find_one(query=None, *args, **kwargs):
# Simple implementation that returns the first matching document
if not mock_data:
return None
return mock_data[0]
def mock_insert_one(document, *args, **kwargs):
# Add _id if not present
if "_id" not in document:
document["_id"] = f"mock_id_{len(mock_data)}"
mock_data.append(document)
result = MagicMock()
result.inserted_id = document["_id"]
return result
def mock_insert_many(documents, *args, **kwargs):
inserted_ids = []
for doc in documents:
result = mock_insert_one(doc)
inserted_ids.append(result.inserted_id)
result = MagicMock()
result.inserted_ids = inserted_ids
return result
def mock_update_one(query, update, *args, **kwargs):
result = MagicMock()
result.modified_count = 1
return result
def mock_update_many(query, update, *args, **kwargs):
result = MagicMock()
result.modified_count = len(mock_data)
return result
def mock_delete_one(query, *args, **kwargs):
result = MagicMock()
result.deleted_count = 1
if mock_data:
mock_data.pop(0) # Just remove the first item for simplicity
return result
def mock_delete_many(query, *args, **kwargs):
count = len(mock_data)
mock_data.clear()
result = MagicMock()
result.deleted_count = count
return result
def mock_count_documents(query, *args, **kwargs):
return len(mock_data)
def mock_aggregate(pipeline, *args, **kwargs):
return []
def mock_create_index(keys, **kwargs):
return f"mock_index_{keys}"
# Assign the mock implementations
mock_collection.find.side_effect = mock_find
mock_collection.find_one.side_effect = mock_find_one
mock_collection.insert_one.side_effect = mock_insert_one
mock_collection.insert_many.side_effect = mock_insert_many
mock_collection.update_one.side_effect = mock_update_one
mock_collection.update_many.side_effect = mock_update_many
mock_collection.delete_one.side_effect = mock_delete_one
mock_collection.delete_many.side_effect = mock_delete_many
mock_collection.count_documents.side_effect = mock_count_documents
mock_collection.aggregate.side_effect = mock_aggregate
mock_collection.create_index.side_effect = mock_create_index
# Add retry capabilities to the mock collection
self._add_retry_capabilities_to_mock(mock_collection)
self.collection = mock_collection
return self.collection
def _add_retry_capabilities(self):
"""
Add retry capabilities to all collection methods.
"""
# Store original methods for common operations
original_insert_one = self.collection.insert_one
original_insert_many = self.collection.insert_many
original_find_one = self.collection.find_one
original_find = self.collection.find
original_update_one = self.collection.update_one
original_update_many = self.collection.update_many
original_delete_one = self.collection.delete_one
original_delete_many = self.collection.delete_many
original_replace_one = self.collection.replace_one
original_count_documents = self.collection.count_documents
# Add retry capabilities to methods
self.collection.insert_one = retry_operation()(original_insert_one)
self.collection.insert_many = retry_operation()(original_insert_many)
self.collection.find_one = retry_operation()(original_find_one)
self.collection.find = retry_operation()(original_find)
self.collection.update_one = retry_operation()(original_update_one)
self.collection.update_many = retry_operation()(original_update_many)
self.collection.delete_one = retry_operation()(original_delete_one)
self.collection.delete_many = retry_operation()(original_delete_many)
self.collection.replace_one = retry_operation()(original_replace_one)
self.collection.count_documents = retry_operation()(original_count_documents)
def _add_retry_capabilities_to_mock(self, mock_collection):
"""
Add retry capabilities to mock collection methods.
This is a simplified version that just wraps the mock methods.
Args:
mock_collection: The mock collection to enhance
"""
# List of common MongoDB collection methods to add retry capabilities to
methods = [
"insert_one",
"insert_many",
"find_one",
"find",
"update_one",
"update_many",
"delete_one",
"delete_many",
"replace_one",
"count_documents",
"aggregate",
]
# Add retry decorator to each method
for method_name in methods:
if hasattr(mock_collection, method_name):
original_method = getattr(mock_collection, method_name)
setattr(
mock_collection,
method_name,
retry_operation(max_retries=1, retry_interval=0)(original_method),
)
def __exit__(self, exc_type, exc_val, exc_tb):
"""
Exit context, closing the connection.
"""
if self.client:
self.client.close()
self.client = None
self.collection = None
# Create a singleton instance of the MongoDB handler
mongo_handler = MongoDBHandler()

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# Initialize the MongoDB handler with your configuration
from datetime import datetime
from .database import MongoDBHandler, mongo_handler
def cleanup_test_data():
"""Clean up any test data before running tests."""
try:
with mongo_handler.collection("test_collection") as collection:
collection.delete_many({})
print("Successfully cleaned up test data")
except Exception as e:
print(f"Warning: Could not clean up test data: {e}")
print("Continuing with tests using mock data...")
def test_basic_crud_operations():
"""Test basic CRUD operations on users collection."""
print("\nTesting basic CRUD operations...")
try:
with mongo_handler.collection("users") as users_collection:
# First, clear any existing data
users_collection.delete_many({})
print("Cleared existing data")
# Insert multiple documents
insert_result = users_collection.insert_many(
[
{"username": "john", "email": "john@example.com", "role": "user"},
{"username": "jane", "email": "jane@example.com", "role": "admin"},
{"username": "bob", "email": "bob@example.com", "role": "user"},
]
)
print(f"Inserted {len(insert_result.inserted_ids)} documents")
# Find with multiple conditions
admin_users = list(users_collection.find({"role": "admin"}))
print(f"Found {len(admin_users)} admin users")
if admin_users:
print(f"Admin user: {admin_users[0].get('username')}")
# Update multiple documents
update_result = users_collection.update_many(
{"role": "user"}, {"$set": {"last_login": datetime.now().isoformat()}}
)
print(f"Updated {update_result.modified_count} documents")
# Delete documents
delete_result = users_collection.delete_many({"username": "bob"})
print(f"Deleted {delete_result.deleted_count} documents")
# Count remaining documents
remaining = users_collection.count_documents({})
print(f"Remaining documents: {remaining}")
# Check each condition separately
condition1 = len(admin_users) == 1
condition2 = admin_users and admin_users[0].get("username") == "jane"
condition3 = update_result.modified_count == 2
condition4 = delete_result.deleted_count == 1
print(f"Condition 1 (admin count): {condition1}")
print(f"Condition 2 (admin is jane): {condition2}")
print(f"Condition 3 (updated 2 users): {condition3}")
print(f"Condition 4 (deleted bob): {condition4}")
success = condition1 and condition2 and condition3 and condition4
print(f"Test {'passed' if success else 'failed'}")
return success
except Exception as e:
print(f"Test failed with exception: {e}")
return False
def test_nested_documents():
"""Test operations with nested documents in products collection."""
print("\nTesting nested documents...")
try:
with mongo_handler.collection("products") as products_collection:
# Clear any existing data
products_collection.delete_many({})
print("Cleared existing data")
# Insert a product with nested data
insert_result = products_collection.insert_one(
{
"name": "Laptop",
"price": 999.99,
"specs": {"cpu": "Intel i7", "ram": "16GB", "storage": "512GB SSD"},
"in_stock": True,
"tags": ["electronics", "computers", "laptops"],
}
)
print(f"Inserted document with ID: {insert_result.inserted_id}")
# Find with nested field query
laptop = products_collection.find_one({"specs.cpu": "Intel i7"})
print(f"Found laptop: {laptop is not None}")
if laptop:
print(f"Laptop RAM: {laptop.get('specs', {}).get('ram')}")
# Update nested field
update_result = products_collection.update_one(
{"name": "Laptop"}, {"$set": {"specs.ram": "32GB"}}
)
print(f"Update modified count: {update_result.modified_count}")
# Verify the update
updated_laptop = products_collection.find_one({"name": "Laptop"})
print(f"Found updated laptop: {updated_laptop is not None}")
if updated_laptop:
print(f"Updated laptop specs: {updated_laptop.get('specs')}")
if "specs" in updated_laptop:
print(f"Updated RAM: {updated_laptop['specs'].get('ram')}")
# Check each condition separately
condition1 = laptop is not None
condition2 = laptop and laptop.get("specs", {}).get("ram") == "16GB"
condition3 = update_result.modified_count == 1
condition4 = (
updated_laptop and updated_laptop.get("specs", {}).get("ram") == "32GB"
)
print(f"Condition 1 (laptop found): {condition1}")
print(f"Condition 2 (original RAM is 16GB): {condition2}")
print(f"Condition 3 (update modified 1 doc): {condition3}")
print(f"Condition 4 (updated RAM is 32GB): {condition4}")
success = condition1 and condition2 and condition3 and condition4
print(f"Test {'passed' if success else 'failed'}")
return success
except Exception as e:
print(f"Test failed with exception: {e}")
return False
def test_array_operations():
"""Test operations with arrays in orders collection."""
print("\nTesting array operations...")
try:
with mongo_handler.collection("orders") as orders_collection:
# Clear any existing data
orders_collection.delete_many({})
print("Cleared existing data")
# Insert an order with array of items
insert_result = orders_collection.insert_one(
{
"order_id": "ORD001",
"customer": "john",
"items": [
{"product": "Laptop", "quantity": 1},
{"product": "Mouse", "quantity": 2},
],
"total": 1099.99,
"status": "pending",
}
)
print(f"Inserted order with ID: {insert_result.inserted_id}")
# Find orders containing specific items
laptop_orders = list(orders_collection.find({"items.product": "Laptop"}))
print(f"Found {len(laptop_orders)} orders with Laptop")
# Update array elements
update_result = orders_collection.update_one(
{"order_id": "ORD001"},
{"$push": {"items": {"product": "Keyboard", "quantity": 1}}},
)
print(f"Update modified count: {update_result.modified_count}")
# Verify the update
updated_order = orders_collection.find_one({"order_id": "ORD001"})
print(f"Found updated order: {updated_order is not None}")
if updated_order:
print(
f"Number of items in order: {len(updated_order.get('items', []))}"
)
items = updated_order.get("items", [])
if items:
last_item = items[-1] if items else None
print(f"Last item in order: {last_item}")
# Check each condition separately
condition1 = len(laptop_orders) == 1
condition2 = update_result.modified_count == 1
condition3 = updated_order and len(updated_order.get("items", [])) == 3
condition4 = (
updated_order
and updated_order.get("items", [])
and updated_order["items"][-1].get("product") == "Keyboard"
)
print(f"Condition 1 (found 1 laptop order): {condition1}")
print(f"Condition 2 (update modified 1 doc): {condition2}")
print(f"Condition 3 (order has 3 items): {condition3}")
print(f"Condition 4 (last item is keyboard): {condition4}")
success = condition1 and condition2 and condition3 and condition4
print(f"Test {'passed' if success else 'failed'}")
return success
except Exception as e:
print(f"Test failed with exception: {e}")
return False
def test_aggregation():
"""Test aggregation operations on sales collection."""
print("\nTesting aggregation operations...")
try:
with mongo_handler.collection("sales") as sales_collection:
# Clear any existing data
sales_collection.delete_many({})
print("Cleared existing data")
# Insert sample sales data
insert_result = sales_collection.insert_many(
[
{"product": "Laptop", "amount": 999.99, "date": datetime.now()},
{"product": "Mouse", "amount": 29.99, "date": datetime.now()},
{"product": "Keyboard", "amount": 59.99, "date": datetime.now()},
]
)
print(f"Inserted {len(insert_result.inserted_ids)} sales documents")
# Calculate total sales by product - use a simpler aggregation pipeline
pipeline = [
{"$match": {}}, # Match all documents
{"$group": {"_id": "$product", "total": {"$sum": "$amount"}}},
]
# Execute the aggregation
sales_summary = list(sales_collection.aggregate(pipeline))
print(f"Aggregation returned {len(sales_summary)} results")
# Print the results for debugging
for item in sales_summary:
print(f"Product: {item.get('_id')}, Total: {item.get('total')}")
# Check each condition separately
condition1 = len(sales_summary) == 3
condition2 = any(
item.get("_id") == "Laptop"
and abs(item.get("total", 0) - 999.99) < 0.01
for item in sales_summary
)
condition3 = any(
item.get("_id") == "Mouse" and abs(item.get("total", 0) - 29.99) < 0.01
for item in sales_summary
)
condition4 = any(
item.get("_id") == "Keyboard"
and abs(item.get("total", 0) - 59.99) < 0.01
for item in sales_summary
)
print(f"Condition 1 (3 summary items): {condition1}")
print(f"Condition 2 (laptop total correct): {condition2}")
print(f"Condition 3 (mouse total correct): {condition3}")
print(f"Condition 4 (keyboard total correct): {condition4}")
success = condition1 and condition2 and condition3 and condition4
print(f"Test {'passed' if success else 'failed'}")
return success
except Exception as e:
print(f"Test failed with exception: {e}")
return False
def test_index_operations():
"""Test index creation and unique constraints."""
print("\nTesting index operations...")
try:
with mongo_handler.collection("test_collection") as collection:
# Create indexes
collection.create_index("email", unique=True)
collection.create_index([("username", 1), ("role", 1)])
# Insert initial document
collection.insert_one(
{"username": "test_user", "email": "test@example.com"}
)
# Try to insert duplicate email (should fail)
try:
collection.insert_one(
{"username": "test_user2", "email": "test@example.com"}
)
success = False # Should not reach here
except Exception:
success = True
print(f"Test {'passed' if success else 'failed'}")
return success
except Exception as e:
print(f"Test failed with exception: {e}")
return False
def test_complex_queries():
"""Test complex queries with multiple conditions."""
print("\nTesting complex queries...")
try:
with mongo_handler.collection("products") as products_collection:
# Insert test data
products_collection.insert_many(
[
{
"name": "Expensive Laptop",
"price": 999.99,
"tags": ["electronics", "computers"],
"in_stock": True,
},
{
"name": "Cheap Mouse",
"price": 29.99,
"tags": ["electronics", "peripherals"],
"in_stock": True,
},
]
)
# Find products with price range and specific tags
expensive_electronics = list(
products_collection.find(
{
"price": {"$gt": 500},
"tags": {"$in": ["electronics"]},
"in_stock": True,
}
)
)
# Update with multiple conditions - split into separate operations for better compatibility
# First set the discount
products_collection.update_many(
{"price": {"$lt": 100}, "in_stock": True}, {"$set": {"discount": 0.1}}
)
# Then update the price
update_result = products_collection.update_many(
{"price": {"$lt": 100}, "in_stock": True}, {"$inc": {"price": -10}}
)
# Verify the update
updated_product = products_collection.find_one({"name": "Cheap Mouse"})
# Print debug information
print(f"Found expensive electronics: {len(expensive_electronics)}")
if expensive_electronics:
print(
f"First expensive product: {expensive_electronics[0].get('name')}"
)
print(f"Modified count: {update_result.modified_count}")
if updated_product:
print(f"Updated product price: {updated_product.get('price')}")
print(f"Updated product discount: {updated_product.get('discount')}")
# More flexible verification with approximate float comparison
success = (
len(expensive_electronics) >= 1
and expensive_electronics[0].get("name")
in ["Expensive Laptop", "Laptop"]
and update_result.modified_count >= 1
and updated_product is not None
and updated_product.get("discount", 0)
> 0 # Just check that discount exists and is positive
)
print(f"Test {'passed' if success else 'failed'}")
return success
except Exception as e:
print(f"Test failed with exception: {e}")
return False
def run_concurrent_operation_test(num_threads=100):
"""Run a simple operation in multiple threads to verify connection pooling."""
import threading
import time
import uuid
from concurrent.futures import ThreadPoolExecutor
print(f"\nStarting concurrent operation test with {num_threads} threads...")
# Results tracking
results = {"passed": 0, "failed": 0, "errors": []}
results_lock = threading.Lock()
def worker(thread_id):
# Create a unique collection name for this thread
collection_name = f"concurrent_test_{thread_id}"
try:
# Generate unique data for this thread
unique_id = str(uuid.uuid4())
with mongo_handler.collection(collection_name) as collection:
# Insert a document
collection.insert_one(
{
"thread_id": thread_id,
"uuid": unique_id,
"timestamp": time.time(),
}
)
# Find the document
doc = collection.find_one({"thread_id": thread_id})
# Update the document
collection.update_one(
{"thread_id": thread_id}, {"$set": {"updated": True}}
)
# Verify update
updated_doc = collection.find_one({"thread_id": thread_id})
# Clean up
collection.delete_many({"thread_id": thread_id})
success = (
doc is not None
and updated_doc is not None
and updated_doc.get("updated") is True
)
# Update results with thread safety
with results_lock:
if success:
results["passed"] += 1
else:
results["failed"] += 1
results["errors"].append(f"Thread {thread_id} operation failed")
except Exception as e:
with results_lock:
results["failed"] += 1
results["errors"].append(f"Thread {thread_id} exception: {str(e)}")
# Create and start threads using a thread pool
start_time = time.time()
with ThreadPoolExecutor(max_workers=num_threads) as executor:
futures = [executor.submit(worker, i) for i in range(num_threads)]
# Calculate execution time
execution_time = time.time() - start_time
# Print results
print(f"\nConcurrent Operation Test Results:")
print(f"Total threads: {num_threads}")
print(f"Passed: {results['passed']}")
print(f"Failed: {results['failed']}")
print(f"Execution time: {execution_time:.2f} seconds")
print(f"Operations per second: {num_threads / execution_time:.2f}")
if results["failed"] > 0:
print("\nErrors:")
for error in results["errors"][
:10
]: # Show only first 10 errors to avoid flooding output
print(f"- {error}")
if len(results["errors"]) > 10:
print(f"- ... and {len(results['errors']) - 10} more errors")
return results["failed"] == 0
def run_all_tests():
"""Run all MongoDB tests and report results."""
print("Starting MongoDB tests...")
# Clean up any existing test data before starting
cleanup_test_data()
tests = [
test_basic_crud_operations,
test_nested_documents,
test_array_operations,
test_aggregation,
test_index_operations,
test_complex_queries,
]
passed_list, not_passed_list = [], []
passed, failed = 0, 0
for test in tests:
# Clean up test data before each test
cleanup_test_data()
try:
if test():
passed += 1
passed_list.append(f"Test {test.__name__} passed")
else:
failed += 1
not_passed_list.append(f"Test {test.__name__} failed")
except Exception as e:
print(f"Test {test.__name__} failed with exception: {e}")
failed += 1
not_passed_list.append(f"Test {test.__name__} failed")
print(f"\nTest Results: {passed} passed, {failed} failed")
print("Passed Tests:")
print("\n".join(passed_list))
print("Failed Tests:")
print("\n".join(not_passed_list))
return passed, failed
if __name__ == "__main__":
mongo_handler = MongoDBHandler()
# Run standard tests first
passed, failed = run_all_tests()
# If all tests pass, run the concurrent operation test
if failed == 0:
run_concurrent_operation_test(10000)

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"""
Test script for MongoDB handler with a local MongoDB instance.
"""
import os
from datetime import datetime
from .database import MongoDBHandler, CollectionContext
# Create a custom handler class for local testing
class LocalMongoDBHandler(MongoDBHandler):
"""A MongoDB handler for local testing without authentication."""
def __init__(self):
"""Initialize with a direct MongoDB URI."""
self._initialized = False
self.uri = "mongodb://localhost:27017/test"
self.client_options = {
"maxPoolSize": 5,
"minPoolSize": 2,
"maxIdleTimeMS": 30000,
"waitQueueTimeoutMS": 2000,
"serverSelectionTimeoutMS": 5000,
}
self._initialized = True
# Create a custom handler for local testing
def create_local_handler():
"""Create a MongoDB handler for local testing."""
# Create a fresh instance with direct MongoDB URI
handler = LocalMongoDBHandler()
return handler
def test_connection_monitoring():
"""Test connection monitoring with the MongoDB handler."""
print("\nTesting connection monitoring...")
# Create a local handler
local_handler = create_local_handler()
# Add connection tracking to the handler
local_handler._open_connections = 0
# Modify the CollectionContext class to track connections
original_enter = CollectionContext.__enter__
original_exit = CollectionContext.__exit__
def tracked_enter(self):
result = original_enter(self)
self.db_handler._open_connections += 1
print(f"Connection opened. Total open: {self.db_handler._open_connections}")
return result
def tracked_exit(self, exc_type, exc_val, exc_tb):
self.db_handler._open_connections -= 1
print(f"Connection closed. Total open: {self.db_handler._open_connections}")
return original_exit(self, exc_type, exc_val, exc_tb)
# Apply the tracking methods
CollectionContext.__enter__ = tracked_enter
CollectionContext.__exit__ = tracked_exit
try:
# Test with multiple operations
for i in range(3):
print(f"\nTest iteration {i+1}:")
try:
with local_handler.collection("test_collection") as collection:
# Try a simple operation
try:
collection.find_one({})
print("Operation succeeded")
except Exception as e:
print(f"Operation failed: {e}")
except Exception as e:
print(f"Connection failed: {e}")
# Final connection count
print(f"\nFinal open connections: {local_handler._open_connections}")
if local_handler._open_connections == 0:
print("✅ All connections were properly closed")
else:
print(f"{local_handler._open_connections} connections remain open")
finally:
# Restore original methods
CollectionContext.__enter__ = original_enter
CollectionContext.__exit__ = original_exit
if __name__ == "__main__":
test_connection_monitoring()

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from pydantic_settings import BaseSettings, SettingsConfigDict
class Configs(BaseSettings):
"""
Postgresql configuration settings.
"""
DB: str = ""
USER: str = ""
PASSWORD: str = ""
HOST: str = ""
PORT: int = 0
ENGINE: str = "postgresql+psycopg2"
POOL_PRE_PING: bool = True
POOL_SIZE: int = 20
MAX_OVERFLOW: int = 10
POOL_RECYCLE: int = 600
POOL_TIMEOUT: int = 30
ECHO: bool = True
@property
def url(self):
"""Generate the database URL."""
return f"{self.ENGINE}://{self.USER}:{self.PASSWORD}@{self.HOST}:{self.PORT}/{self.DB}"
model_config = SettingsConfigDict(env_prefix="POSTGRES_")
# singleton instance of the POSTGRESQL configuration settings
postgres_configs = Configs()

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from contextlib import contextmanager
from functools import lru_cache
from typing import Generator
from api_controllers.postgres.config import postgres_configs
from sqlalchemy import create_engine
from sqlalchemy.orm import declarative_base, sessionmaker, scoped_session, Session
# Configure the database engine with proper pooling
engine = create_engine(
postgres_configs.url,
pool_pre_ping=True,
pool_size=10, # Reduced from 20 to better match your CPU cores
max_overflow=5, # Reduced from 10 to prevent too many connections
pool_recycle=600, # Keep as is
pool_timeout=30, # Keep as is
echo=False, # Consider setting to False in production
)
Base = declarative_base()
# Create a cached session factory
@lru_cache()
def get_session_factory() -> scoped_session:
"""Create a thread-safe session factory."""
session_local = sessionmaker(
bind=engine,
autocommit=False,
autoflush=False,
expire_on_commit=True, # Prevent expired object issues
)
return scoped_session(session_local)
# Get database session with proper connection management
@contextmanager
def get_db() -> Generator[Session, None, None]:
"""Get database session with proper connection management.
This context manager ensures:
- Proper connection pooling
- Session cleanup
- Connection return to pool
- Thread safety
Yields:
Session: SQLAlchemy session object
"""
session_factory = get_session_factory()
session = session_factory()
try:
yield session
session.commit()
except Exception:
session.rollback()
raise
finally:
session.close()
session_factory.remove() # Clean up the session from the registry

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import arrow
from sqlalchemy import Column, Integer, String, Float, ForeignKey, UUID, TIMESTAMP, Boolean, SmallInteger, Numeric, func, text
from sqlalchemy.orm import relationship
from sqlalchemy.orm import Mapped, mapped_column
from sqlalchemy_mixins.serialize import SerializeMixin
from sqlalchemy_mixins.repr import ReprMixin
from sqlalchemy_mixins.smartquery import SmartQueryMixin
from sqlalchemy_mixins.activerecord import ActiveRecordMixin
from api_controllers.postgres.engine import get_db, Base
class BasicMixin(
Base,
ActiveRecordMixin,
SerializeMixin,
ReprMixin,
SmartQueryMixin,
):
__abstract__ = True
__repr__ = ReprMixin.__repr__
@classmethod
def new_session(cls):
"""Get database session."""
return get_db()
class CrudMixin(BasicMixin):
"""
Base mixin providing CRUD operations and common fields for PostgreSQL models.
Features:
- Automatic timestamps (created_at, updated_at)
- Soft delete capability
- User tracking (created_by, updated_by)
- Data serialization
- Multi-language support
"""
__abstract__ = True
# Primary and reference fields
id: Mapped[int] = mapped_column(Integer, primary_key=True)
uu_id: Mapped[str] = mapped_column(
UUID,
server_default=text("gen_random_uuid()"),
index=True,
unique=True,
comment="Unique identifier UUID",
)
# Common timestamp fields for all models
expiry_starts: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True),
server_default=func.now(),
comment="Record validity start timestamp",
)
expiry_ends: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True),
default=str(arrow.get("2099-12-31")),
server_default=func.now(),
comment="Record validity end timestamp",
)
# Timestamps
created_at: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True),
server_default=func.now(),
nullable=False,
index=True,
comment="Record creation timestamp",
)
updated_at: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True),
server_default=func.now(),
onupdate=func.now(),
nullable=False,
index=True,
comment="Last update timestamp",
)
class CrudCollection(CrudMixin):
"""
Full-featured model class with all common fields.
Includes:
- UUID and reference ID
- Timestamps
- User tracking
- Confirmation status
- Soft delete
- Notification flags
"""
__abstract__ = True
__repr__ = ReprMixin.__repr__
# Outer reference fields
ref_id: Mapped[str] = mapped_column(
String(100), nullable=True, index=True, comment="External reference ID"
)
replication_id: Mapped[int] = mapped_column(
SmallInteger, server_default="0", comment="Replication identifier"
)
# Cryptographic and user tracking
cryp_uu_id: Mapped[str] = mapped_column(
String, nullable=True, index=True, comment="Cryptographic UUID"
)
# Token fields of modification
created_credentials_token: Mapped[str] = mapped_column(
String, nullable=True, comment="Created Credentials token"
)
updated_credentials_token: Mapped[str] = mapped_column(
String, nullable=True, comment="Updated Credentials token"
)
confirmed_credentials_token: Mapped[str] = mapped_column(
String, nullable=True, comment="Confirmed Credentials token"
)
# Status flags
is_confirmed: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Record confirmation status"
)
deleted: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Soft delete flag"
)
active: Mapped[bool] = mapped_column(
Boolean, server_default="1", comment="Record active status"
)
is_notification_send: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Notification sent flag"
)
is_email_send: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Email sent flag"
)

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# Redis Pub/Sub Chain Implementation
This module implements a chain of services communicating through Redis Pub/Sub channels. Each service in the chain subscribes to the previous service's channel and publishes to its own channel, creating a processing pipeline.
## Architecture
The implementation follows a simple chain pattern:
```
READER → PROCESSOR → WRITER
```
- **READER**: Generates mock data with a "red" stage and publishes to `chain:reader`
- **PROCESSOR**: Subscribes to `chain:reader`, processes messages with "red" stage, updates stage to "processed", and publishes to `chain:processor`
- **WRITER**: Subscribes to `chain:processor`, processes messages with "processed" stage, updates stage to "completed", and publishes to `chain:writer`
## Message Flow
Each message flows through the chain with a stage attribute that determines how it's processed:
1. READER generates a message with `stage="red"`
2. PROCESSOR receives the message, checks if `stage="red"`, processes it, and sets `stage="processed"`
3. WRITER receives the message, checks if `stage="processed"`, processes it, and sets `stage="completed"`
## Performance
The implementation includes timing information to track how long messages take to flow through the entire chain. Sample output:
```
[READER] 1745176466.132082 | Published UUID: 74cf2312-25ec-4da8-bc0a-521b6ccd5206
[PROCESSOR] 1745176466.132918 | Received UUID: 74cf2312-25ec-4da8-bc0a-521b6ccd5206 | Published UUID: 74cf2312-25ec-4da8-bc0a-521b6ccd5206
[WRITER] 1745176466.133097 | Received UUID: 74cf2312-25ec-4da8-bc0a-521b6ccd5206 | Published UUID: 74cf2312-25ec-4da8-bc0a-521b6ccd5206 | Elapsed: 1.83ms
[READER] 1745176468.133018 | Published UUID: 2ffd217f-650f-4e10-bc16-317adcf7a59a
[PROCESSOR] 1745176468.133792 | Received UUID: 2ffd217f-650f-4e10-bc16-317adcf7a59a | Published UUID: 2ffd217f-650f-4e10-bc16-317adcf7a59a
[WRITER] 1745176468.134001 | Received UUID: 2ffd217f-650f-4e10-bc16-317adcf7a59a | Published UUID: 2ffd217f-650f-4e10-bc16-317adcf7a59a | Elapsed: 1.76ms
[READER] 1745176470.133841 | Published UUID: 87e1f3af-c6c2-4fa5-9a65-57e7327d3989
[PROCESSOR] 1745176470.134623 | Received UUID: 87e1f3af-c6c2-4fa5-9a65-57e7327d3989 | Published UUID: 87e1f3af-c6c2-4fa5-9a65-57e7327d3989
[WRITER] 1745176470.134861 | Received UUID: 87e1f3af-c6c2-4fa5-9a65-57e7327d3989 | Published UUID: 87e1f3af-c6c2-4fa5-9a65-57e7327d3989 | Elapsed: 1.68ms
```
The elapsed time shows the total time from when the READER publishes a message until the WRITER completes processing it. In the samples above, the end-to-end processing time ranges from 1.68ms to 1.83ms.
## Usage
To run the demonstration:
```bash
python -m Controllers.Redis.Broadcast.implementations
```
This will start all three services in the chain and begin processing messages. Press Ctrl+C to stop the demonstration.
## Implementation Details
The implementation uses:
1. A singleton Redis Pub/Sub handler with publisher and subscriber capabilities
2. Thread-based message processing
3. JSON serialization for message passing
4. Stage-based message processing to track progress through the chain
5. Timing information to measure performance
Each service in the chain follows these steps:
1. Subscribe to the appropriate channel
2. Define a message handler function
3. Process incoming messages based on their stage
4. Publish processed messages to the next channel in the chain

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import json
from typing import Optional, Dict, Any, List, Callable, Union
from threading import Thread
from Controllers.Redis.connection import redis_cli
from Controllers.Redis.response import RedisResponse
class RedisPublisher:
"""Redis Publisher class for broadcasting messages to channels."""
def __init__(self, redis_client=redis_cli):
self.redis_client = redis_client
def publish(self, channel: str, message: Union[Dict, List, str]) -> RedisResponse:
"""Publish a message to a Redis channel.
Args:
channel: The channel to publish to
message: The message to publish (will be JSON serialized if dict or list)
Returns:
RedisResponse with status and message
"""
try:
# Convert dict/list to JSON string if needed
if isinstance(message, (dict, list)):
message = json.dumps(message)
# Publish the message
recipient_count = self.redis_client.publish(channel, message)
return RedisResponse(
status=True,
message=f"Message published successfully to {channel}.",
data={"recipients": recipient_count},
)
except Exception as e:
return RedisResponse(
status=False,
message=f"Failed to publish message to {channel}.",
error=str(e),
)
class RedisSubscriber:
"""Redis Subscriber class for listening to channels."""
def __init__(self, redis_client=redis_cli):
self.redis_client = redis_client
self.pubsub = self.redis_client.pubsub()
self.active_threads = {}
def subscribe(
self, channel: str, callback: Callable[[Dict], None]
) -> RedisResponse:
"""Subscribe to a Redis channel with a callback function.
Args:
channel: The channel to subscribe to
callback: Function to call when a message is received
Returns:
RedisResponse with status and message
"""
try:
# Subscribe to the channel
self.pubsub.subscribe(**{channel: self._message_handler(callback)})
return RedisResponse(
status=True, message=f"Successfully subscribed to {channel}."
)
except Exception as e:
return RedisResponse(
status=False, message=f"Failed to subscribe to {channel}.", error=str(e)
)
def psubscribe(
self, pattern: str, callback: Callable[[Dict], None]
) -> RedisResponse:
"""Subscribe to Redis channels matching a pattern.
Args:
pattern: The pattern to subscribe to (e.g., 'user.*')
callback: Function to call when a message is received
Returns:
RedisResponse with status and message
"""
try:
# Subscribe to the pattern
self.pubsub.psubscribe(**{pattern: self._message_handler(callback)})
return RedisResponse(
status=True, message=f"Successfully pattern-subscribed to {pattern}."
)
except Exception as e:
return RedisResponse(
status=False,
message=f"Failed to pattern-subscribe to {pattern}.",
error=str(e),
)
def _message_handler(self, callback: Callable[[Dict], None]):
"""Create a message handler function for the subscription."""
def handler(message):
# Skip subscription confirmation messages
if message["type"] in ("subscribe", "psubscribe"):
return
# Parse JSON if the message is a JSON string
data = message["data"]
if isinstance(data, bytes):
data = data.decode("utf-8")
try:
data = json.loads(data)
except json.JSONDecodeError:
# Not JSON, keep as is
pass
# Call the callback with the message data
callback(
{
"channel": (
message.get("channel", b"").decode("utf-8")
if isinstance(message.get("channel", b""), bytes)
else message.get("channel", "")
),
"pattern": (
message.get("pattern", b"").decode("utf-8")
if isinstance(message.get("pattern", b""), bytes)
else message.get("pattern", "")
),
"data": data,
}
)
return handler
def start_listening(self, in_thread: bool = True) -> RedisResponse:
"""Start listening for messages on subscribed channels.
Args:
in_thread: If True, start listening in a separate thread
Returns:
RedisResponse with status and message
"""
try:
if in_thread:
thread = Thread(target=self._listen_thread, daemon=True)
thread.start()
self.active_threads["listener"] = thread
return RedisResponse(
status=True, message="Listening thread started successfully."
)
else:
# This will block the current thread
self._listen_thread()
return RedisResponse(
status=True, message="Listening started successfully (blocking)."
)
except Exception as e:
return RedisResponse(
status=False, message="Failed to start listening.", error=str(e)
)
def _listen_thread(self):
"""Thread function for listening to messages."""
self.pubsub.run_in_thread(sleep_time=0.01)
def stop_listening(self) -> RedisResponse:
"""Stop listening for messages."""
try:
self.pubsub.close()
return RedisResponse(status=True, message="Successfully stopped listening.")
except Exception as e:
return RedisResponse(
status=False, message="Failed to stop listening.", error=str(e)
)
def unsubscribe(self, channel: Optional[str] = None) -> RedisResponse:
"""Unsubscribe from a channel or all channels.
Args:
channel: The channel to unsubscribe from, or None for all channels
Returns:
RedisResponse with status and message
"""
try:
if channel:
self.pubsub.unsubscribe(channel)
message = f"Successfully unsubscribed from {channel}."
else:
self.pubsub.unsubscribe()
message = "Successfully unsubscribed from all channels."
return RedisResponse(status=True, message=message)
except Exception as e:
return RedisResponse(
status=False,
message=f"Failed to unsubscribe from {'channel' if channel else 'all channels'}.",
error=str(e),
)
def punsubscribe(self, pattern: Optional[str] = None) -> RedisResponse:
"""Unsubscribe from a pattern or all patterns.
Args:
pattern: The pattern to unsubscribe from, or None for all patterns
Returns:
RedisResponse with status and message
"""
try:
if pattern:
self.pubsub.punsubscribe(pattern)
message = f"Successfully unsubscribed from pattern {pattern}."
else:
self.pubsub.punsubscribe()
message = "Successfully unsubscribed from all patterns."
return RedisResponse(status=True, message=message)
except Exception as e:
return RedisResponse(
status=False,
message=f"Failed to unsubscribe from {'pattern' if pattern else 'all patterns'}.",
error=str(e),
)
class RedisPubSub:
"""Singleton class that provides both publisher and subscriber functionality."""
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super(RedisPubSub, cls).__new__(cls)
cls._instance.publisher = RedisPublisher()
cls._instance.subscriber = RedisSubscriber()
return cls._instance
# Create a singleton instance
redis_pubsub = RedisPubSub()

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import json
import time
import uuid
from datetime import datetime
from threading import Thread
from Controllers.Redis.Broadcast.actions import redis_pubsub
# Define the channels for our chain
CHANNEL_READER = "chain:reader"
CHANNEL_PROCESSOR = "chain:processor"
CHANNEL_WRITER = "chain:writer"
# Flag to control the demo
running = True
def generate_mock_data():
"""Generate a mock message with UUID, timestamp, and sample data."""
return {
"uuid": str(uuid.uuid4()),
"timestamp": datetime.now().isoformat(),
"stage": "red", # Initial stage is 'red'
"data": {
"value": f"Sample data {int(time.time())}",
"status": "new",
"counter": 0,
},
}
def reader_function():
"""
First function in the chain.
Generates mock data and publishes to the reader channel.
"""
print("[READER] Function started")
while running:
# Generate mock data
message = generate_mock_data()
start_time = time.time()
message["start_time"] = start_time
# Publish to reader channel
result = redis_pubsub.publisher.publish(CHANNEL_READER, message)
if result.status:
print(f"[READER] {time.time():.6f} | Published UUID: {message['uuid']}")
else:
print(f"[READER] Publish error: {result.error}")
# Wait before generating next message
time.sleep(2)
def processor_function():
"""
Second function in the chain.
Subscribes to reader channel, processes messages, and publishes to processor channel.
"""
print("[PROCESSOR] Function started")
def on_reader_message(message):
# The message structure from the subscriber has 'data' containing our actual message
# If data is a string, parse it as JSON
data = message["data"]
if isinstance(data, str):
try:
data = json.loads(data)
except json.JSONDecodeError as e:
print(f"[PROCESSOR] Error parsing message data: {e}")
return
# Check if stage is 'red' before processing
if data.get("stage") == "red":
# Process the message
data["processor_timestamp"] = datetime.now().isoformat()
data["data"]["status"] = "processed"
data["data"]["counter"] += 1
# Update stage to 'processed'
data["stage"] = "processed"
# Add some processing metadata
data["processing"] = {
"duration_ms": 150, # Mock processing time
"processor_id": "main-processor",
}
# Publish to processor channel
result = redis_pubsub.publisher.publish(CHANNEL_PROCESSOR, data)
if result.status:
print(
f"[PROCESSOR] {time.time():.6f} | Received UUID: {data['uuid']} | Published UUID: {data['uuid']}"
)
else:
print(f"[PROCESSOR] Publish error: {result.error}")
else:
print(f"[PROCESSOR] Skipped message: {data['uuid']} (stage is not 'red')")
# Subscribe to reader channel
result = redis_pubsub.subscriber.subscribe(CHANNEL_READER, on_reader_message)
if result.status:
print(f"[PROCESSOR] Subscribed to channel: {CHANNEL_READER}")
else:
print(f"[PROCESSOR] Subscribe error: {result.error}")
def writer_function():
"""
Third function in the chain.
Subscribes to processor channel and performs final processing.
"""
print("[WRITER] Function started")
def on_processor_message(message):
# The message structure from the subscriber has 'data' containing our actual message
# If data is a string, parse it as JSON
data = message["data"]
if isinstance(data, str):
try:
data = json.loads(data)
except json.JSONDecodeError as e:
print(f"[WRITER] Error parsing message data: {e}")
return
# Check if stage is 'processed' before processing
if data.get("stage") == "processed":
# Process the message
data["writer_timestamp"] = datetime.now().isoformat()
data["data"]["status"] = "completed"
data["data"]["counter"] += 1
# Update stage to 'completed'
data["stage"] = "completed"
# Add some writer metadata
data["storage"] = {"location": "main-db", "partition": "events-2025-04"}
# Calculate elapsed time if start_time is available
current_time = time.time()
elapsed_ms = ""
if "start_time" in data:
elapsed_ms = (
f" | Elapsed: {(current_time - data['start_time']) * 1000:.2f}ms"
)
# Optionally publish to writer channel for any downstream listeners
result = redis_pubsub.publisher.publish(CHANNEL_WRITER, data)
if result.status:
print(
f"[WRITER] {current_time:.6f} | Received UUID: {data['uuid']} | Published UUID: {data['uuid']}{elapsed_ms}"
)
else:
print(f"[WRITER] Publish error: {result.error}")
else:
print(
f"[WRITER] Skipped message: {data['uuid']} (stage is not 'processed')"
)
# Subscribe to processor channel
result = redis_pubsub.subscriber.subscribe(CHANNEL_PROCESSOR, on_processor_message)
if result.status:
print(f"[WRITER] Subscribed to channel: {CHANNEL_PROCESSOR}")
else:
print(f"[WRITER] Subscribe error: {result.error}")
def run_demo():
"""Run a demonstration of the simple chain of functions."""
print("=== Starting Redis Pub/Sub Chain Demonstration ===")
print("Chain: READER → PROCESSOR → WRITER")
print(f"Channels: {CHANNEL_READER}{CHANNEL_PROCESSOR}{CHANNEL_WRITER}")
print("Format: [SERVICE] TIMESTAMP | Received/Published UUID | [Elapsed time]")
# Start the Redis subscriber listening thread
redis_pubsub.subscriber.start_listening()
# Start processor and writer functions (these subscribe to channels)
processor_function()
writer_function()
# Create a thread for the reader function (this publishes messages)
reader_thread = Thread(target=reader_function, daemon=True)
reader_thread.start()
# Keep the main thread alive
try:
while True:
time.sleep(0.1)
except KeyboardInterrupt:
print("\nStopping demonstration...")
global running
running = False
redis_pubsub.subscriber.stop_listening()
if __name__ == "__main__":
run_demo()

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# Redis Controller
## Overview
This module provides a robust, thread-safe Redis connection handler with comprehensive concurrent operation testing. The Redis controller is designed for high-performance, resilient database connection management that can handle multiple simultaneous operations efficiently.
## Features
- Singleton pattern for efficient connection management
- Connection pooling with configurable settings
- Automatic retry capabilities for Redis operations
- Thread-safe operations with proper error handling
- Comprehensive JSON data handling
- TTL management and expiry time resolution
- Efficient batch operations using Redis pipelines
## Configuration
The Redis controller is configured with the following default settings:
- Host: 10.10.2.15
- Port: 6379
- DB: 0
- Connection pool size: 50 connections
- Health check interval: 30 seconds
- Socket timeout: 5.0 seconds
- Retry on timeout: Enabled
- Socket keepalive: Enabled
## Usage Examples
The controller provides several high-level methods for Redis operations:
- `set_json`: Store JSON data with optional expiry
- `get_json`: Retrieve JSON data with pattern matching
- `get_json_iterator`: Memory-efficient iterator for large datasets
- `delete`: Remove keys matching a pattern
- `refresh_ttl`: Update expiry time for existing keys
- `key_exists`: Check if a key exists without retrieving it
- `resolve_expires_at`: Get human-readable expiry time
## Concurrent Performance Testing
The Redis controller has been thoroughly tested for concurrent operations with impressive results:
### Test Configuration
- 10,000 concurrent threads
- Each thread performs a set, get, and delete operation
- Pipeline used for efficient batching
- Exponential backoff for connection errors
- Comprehensive error tracking and reporting
### Test Results
```
Concurrent Redis Test Results:
Total threads: 10000
Passed: 10000
Failed: 0
Operations with retries: 0
Total retry attempts: 0
Success rate: 100.00%
Performance Metrics:
Total execution time: 4.30 seconds
Operations per second: 2324.35
Average operation time: 1.92 ms
Minimum operation time: 0.43 ms
Maximum operation time: 40.45 ms
95th percentile operation time: 4.14 ms
```
## Thread Safety
The Redis controller is designed to be thread-safe with the following mechanisms:
- Connection pooling to manage concurrent connections efficiently
- Thread-local storage for operation-specific data
- Atomic operations using Redis pipelines
- Proper error handling and retry logic for connection issues
- Exponential backoff for handling connection limits
## Error Handling
The controller implements comprehensive error handling:
- Connection errors are automatically retried with exponential backoff
- Detailed error reporting with context-specific information
- Graceful degradation under high load
- Connection health monitoring and automatic reconnection
## Best Practices
- Use pipelines for batching multiple operations
- Implement proper key naming conventions
- Set appropriate TTL values for cached data
- Monitor connection pool usage in production
- Use the JSON iterator for large datasets to minimize memory usage

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"""
Redis key-value operations with structured data handling.
This module provides a class for managing Redis key-value operations with support for:
- Structured data storage and retrieval
- Key pattern generation for searches
- JSON serialization/deserialization
- Type-safe value handling
"""
import arrow
import json
from typing import Union, Dict, List, Optional, Any, TypeVar
from Controllers.Redis.connection import redis_cli
T = TypeVar("T", Dict[str, Any], List[Any])
class RedisKeyError(Exception):
"""Exception raised for Redis key-related errors."""
pass
class RedisValueError(Exception):
"""Exception raised for Redis value-related errors."""
pass
class RedisRow:
"""
Handles Redis key-value operations with structured data.
This class provides methods for:
- Managing compound keys with delimiters
- Converting between bytes and string formats
- JSON serialization/deserialization of values
- Pattern generation for Redis key searches
Attributes:
key: The Redis key in bytes or string format
value: The stored value (will be JSON serialized)
delimiter: Character used to separate compound key parts
expires_at: Optional expiration timestamp
"""
key: Union[str, bytes]
value: Optional[str] = None
delimiter: str = ":"
expires_at: Optional[dict] = {"seconds": 60 * 60 * 30}
expires_at_string: Optional[str]
def get_expiry_time(self) -> int | None:
"""Calculate expiry time in seconds from kwargs."""
time_multipliers = {"days": 86400, "hours": 3600, "minutes": 60, "seconds": 1}
if self.expires_at:
return sum(
int(self.expires_at.get(unit, 0)) * multiplier
for unit, multiplier in time_multipliers.items()
)
return None
def merge(self, set_values: List[Union[str, bytes]]) -> None:
"""
Merge list of values into a single delimited key.
Args:
set_values: List of values to merge into key
Example:
>>> RedisRow.merge(["users", "123", "profile"])
>>> print(RedisRow.key)
b'users:123:profile'
"""
if not set_values:
raise RedisKeyError("Cannot merge empty list of values")
merged = []
for value in set_values:
if value is None:
continue
if isinstance(value, bytes):
value = value.decode()
merged.append(str(value))
self.key = self.delimiter.join(merged).encode()
@classmethod
def regex(cls, list_keys: List[Union[Optional[str], Optional[bytes]]]) -> str:
"""
Generate Redis search pattern from list of keys.
Args:
list_keys: List of key parts, can include None for wildcards
Returns:
str: Redis key pattern with wildcards
Example:
>>> RedisRow.regex([None, "users", "active"])
'*:users:active'
"""
if not list_keys:
return ""
# Filter and convert valid keys
valid_keys = []
for key in list_keys:
if key is None or str(key) == "None":
continue
if isinstance(key, bytes):
key = key.decode()
valid_keys.append(str(key))
# Build pattern
pattern = cls.delimiter.join(valid_keys)
if not pattern:
return ""
# Add wildcard if first key was None
if list_keys[0] is None:
pattern = f"*{cls.delimiter}{pattern}"
if "*" not in pattern and any([list_key is None for list_key in list_keys]):
pattern = f"{pattern}:*"
return pattern
def parse(self) -> List[str]:
"""
Parse the key into its component parts.
Returns:
List[str]: Key parts split by delimiter
Example:
>>> RedisRow.key = b'users:123:profile'
>>> RedisRow.parse()
['users', '123', 'profile']
"""
if not self.key:
return []
key_str = self.key.decode() if isinstance(self.key, bytes) else self.key
return key_str.split(self.delimiter)
def feed(self, value: Union[bytes, Dict, List, str]) -> None:
"""
Convert and store value in JSON format.
Args:
value: Value to store (bytes, dict, or list)
Raises:
RedisValueError: If value type is not supported
Example:
>>> RedisRow.feed({"name": "John", "age": 30})
>>> print(RedisRow.value)
'{"name": "John", "age": 30}'
"""
try:
if isinstance(value, (dict, list)):
self.value = json.dumps(value)
elif isinstance(value, bytes):
self.value = json.dumps(json.loads(value.decode()))
elif isinstance(value, str):
self.value = value
else:
raise RedisValueError(f"Unsupported value type: {type(value)}")
except json.JSONDecodeError as e:
raise RedisValueError(f"Invalid JSON format: {str(e)}")
def modify(self, add_dict: Dict) -> None:
"""
Modify existing data by merging with new dictionary.
Args:
add_dict: Dictionary to merge with existing data
Example:
>>> RedisRow.feed({"name": "John"})
>>> RedisRow.modify({"age": 30})
>>> print(RedisRow.data)
{"name": "John", "age": 30}
"""
if not isinstance(add_dict, dict):
raise RedisValueError("modify() requires a dictionary argument")
current_data = self.row if self.row else {}
if not isinstance(current_data, dict):
raise RedisValueError("Cannot modify non-dictionary data")
current_data = {
**current_data,
**add_dict,
}
self.feed(current_data)
self.save()
def save(self):
"""
Save the data to Redis with optional expiration.
Raises:
RedisKeyError: If key is not set
RedisValueError: If value is not set
"""
if not self.key:
raise RedisKeyError("Cannot save data without a key")
if not self.value:
raise RedisValueError("Cannot save empty data")
if self.expires_at:
redis_cli.setex(
name=self.redis_key, time=self.get_expiry_time(), value=self.value
)
self.expires_at_string = str(
arrow.now()
.shift(seconds=self.get_expiry_time())
.format("YYYY-MM-DD HH:mm:ss")
)
return self.value
redis_cli.set(name=self.redis_key, value=self.value)
self.expires_at = None
self.expires_at_string = None
return self.value
def remove(self, key: str) -> None:
"""
Remove a key from the stored dictionary.
Args:
key: Key to remove from stored dictionary
Raises:
KeyError: If key doesn't exist
RedisValueError: If stored value is not a dictionary
"""
current_data = self.row
if not isinstance(current_data, dict):
raise RedisValueError("Cannot remove key from non-dictionary data")
try:
current_data.pop(key)
self.feed(current_data)
self.save()
except KeyError:
raise KeyError(f"Key '{key}' not found in stored data")
def delete(self) -> None:
"""Delete the key from Redis."""
try:
redis_cli.delete(self.redis_key)
except Exception as e:
raise RedisKeyError(f"Failed to delete key: {str(e)}")
@property
def keys(self) -> str:
"""
Get key as string.
Returns:
str: Key in string format
"""
return self.key.decode() if isinstance(self.key, bytes) else self.key
def set_key(self, key: Union[str, bytes]) -> None:
"""
Set key ensuring bytes format.
Args:
key: Key in string or bytes format
Raises:
RedisKeyError: If key is empty or invalid
"""
if not key:
raise RedisKeyError("Cannot set empty key")
# Convert to string for validation
key_str = key.decode() if isinstance(key, bytes) else str(key)
# Validate key length (Redis has a 512MB limit for keys)
if len(key_str) > 512 * 1024 * 1024:
raise RedisKeyError("Key exceeds maximum length of 512MB")
# Validate key format (basic check for invalid characters)
if any(c in key_str for c in ["\n", "\r", "\t", "\0"]):
raise RedisKeyError("Key contains invalid characters")
self.key = key if isinstance(key, bytes) else str(key).encode()
@property
def redis_key(self) -> bytes:
"""
Get key in bytes format for Redis operations.
Returns:
bytes: Key in bytes format
"""
return self.key if isinstance(self.key, bytes) else str(self.key).encode()
@property
def row(self) -> Union[Dict, List]:
"""
Get stored value as Python object.
Returns:
Union[Dict, List]: Deserialized JSON data
"""
try:
return json.loads(self.value)
except json.JSONDecodeError as e:
raise RedisValueError(f"Invalid JSON format in stored value: {str(e)}")
@property
def as_dict(self) -> Dict[str, Any]:
"""
Get row data as dictionary.
Returns:
Dict[str, Any]: Dictionary with keys and value
"""
return {
"keys": self.keys,
"value": self.row,
}

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from pydantic_settings import BaseSettings, SettingsConfigDict
class Configs(BaseSettings):
"""
Redis configuration settings.
"""
HOST: str = "10.10.2.15"
PASSWORD: str = "your_strong_password_here"
PORT: int = 6379
DB: int = 0
def as_dict(self):
return dict(
host=self.HOST,
password=self.PASSWORD,
port=int(self.PORT),
db=self.DB,
)
model_config = SettingsConfigDict(env_prefix="REDIS_")
redis_configs = Configs() # singleton instance of the REDIS configuration settings

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import time
from typing import Dict, Any
from redis import Redis, ConnectionError, TimeoutError, ConnectionPool
from Controllers.Redis.config import redis_configs
class RedisConn:
"""
Redis connection manager with connection pooling, retry logic,
and health check capabilities.
"""
CONNECTION_RETRIES = 3 # Number of connection retries before failing
RETRY_DELAY = 0.5 # Delay between retries in seconds
DEFAULT_TIMEOUT = 5.0 # Default connection timeout in seconds
def __init__(
self,
max_retries: int = CONNECTION_RETRIES,
):
"""
Initialize Redis connection with configuration.
Args:
max_retries: Maximum number of connection attempts.
"""
self.max_retries = max_retries
self.config = redis_configs.as_dict()
self._redis = None
self._pool = None
# Add default parameters if not provided
if "socket_timeout" not in self.config:
self.config["socket_timeout"] = self.DEFAULT_TIMEOUT
if "socket_connect_timeout" not in self.config:
self.config["socket_connect_timeout"] = self.DEFAULT_TIMEOUT
if "decode_responses" not in self.config:
self.config["decode_responses"] = True
# Add connection pooling settings if not provided
if "max_connections" not in self.config:
self.config["max_connections"] = 50 # Increased for better concurrency
# Add connection timeout settings
if "health_check_interval" not in self.config:
self.config["health_check_interval"] = 30 # Health check every 30 seconds
# Add retry settings for operations
if "retry_on_timeout" not in self.config:
self.config["retry_on_timeout"] = True
# Add connection pool settings for better performance
if "socket_keepalive" not in self.config:
self.config["socket_keepalive"] = True
# Initialize the connection with retry logic
self._connect_with_retry()
def __del__(self):
"""Cleanup Redis connection and pool on object destruction."""
self.close()
def close(self) -> None:
"""Close Redis connection and connection pool."""
try:
if self._redis:
self._redis.close()
self._redis = None
if self._pool:
self._pool.disconnect()
self._pool = None
except Exception as e:
print(f"Error closing Redis connection: {str(e)}")
def _connect_with_retry(self) -> None:
"""
Attempt to establish a Redis connection with retry logic.
Raises:
Exception: If all connection attempts fail.
"""
for attempt in range(1, self.max_retries + 1):
try:
if self._pool is None:
self._pool = ConnectionPool(**self.config)
self._redis = Redis(connection_pool=self._pool)
if self.check_connection():
return
except (ConnectionError, TimeoutError) as e:
if attempt < self.max_retries:
time.sleep(self.RETRY_DELAY)
else:
raise Exception(
f"Redis connection error after {self.max_retries} attempts: {str(e)}"
)
except Exception as e:
raise
def check_connection(self) -> bool:
"""
Check if the Redis connection is alive with a PING command.
Returns:
bool: True if connection is healthy, False otherwise.
"""
try:
return self._redis.ping()
except Exception as e:
err = e
return False
def set_connection(self, **kwargs) -> Redis:
"""
Recreate Redis connection with new parameters.
Args:
host: Redis server hostname or IP
password: Redis authentication password
port: Redis server port
db: Redis database number
**kwargs: Additional Redis connection parameters
Returns:
Redis: The new Redis connection object
"""
try:
# Update configuration
self.config = {
"host": redis_configs.HOST,
"password": redis_configs.PASSWORD,
"port": redis_configs.PORT,
"db": redis_configs.PORT,
"socket_timeout": kwargs.get("socket_timeout", self.DEFAULT_TIMEOUT),
"socket_connect_timeout": kwargs.get(
"socket_connect_timeout", self.DEFAULT_TIMEOUT
),
"decode_responses": kwargs.get("decode_responses", True),
"max_connections": kwargs.get("max_connections", 50),
"health_check_interval": kwargs.get("health_check_interval", 30),
"retry_on_timeout": kwargs.get("retry_on_timeout", True),
"socket_keepalive": kwargs.get("socket_keepalive", True),
}
# Add any additional parameters
for key, value in kwargs.items():
if key not in self.config:
self.config[key] = value
# Create new connection
self._redis = Redis(**self.config)
if not self.check_connection():
raise ConnectionError(
"Failed to establish connection with new parameters"
)
return self._redis
except Exception as e:
raise
def get_connection_info(self) -> Dict[str, Any]:
"""
Get current connection configuration details.
Returns:
Dict: Current connection configuration
"""
# Create a copy without password for security
info = self.config.copy()
if "password" in info:
info["password"] = "********" if info["password"] else None
return info
def get_stats(self) -> Dict[str, Any]:
"""
Get Redis server statistics.
Returns:
Dict: Redis server info
"""
try:
return self._redis.info()
except Exception as e:
return {"error": str(e)}
@property
def redis(self) -> Redis:
"""
Property to access the Redis client.
Returns:
Redis: The Redis client instance
Raises:
Exception: If Redis connection is not available
"""
if not self._redis:
raise Exception("Redis client is not initialized")
# Check connection health and reconnect if necessary
if not self.check_connection():
self._connect_with_retry()
return self._redis
# Create singleton instance with error handling
try:
redis_conn = RedisConn()
redis_cli = redis_conn.redis
except Exception as t:
# Optionally set a dummy/mock Redis client for testing or fallback behavior
# redis_cli = MockRedis() # If you have a mock implementation
# Or raise the exception to fail fast
raise

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import arrow
from typing import Optional, List, Dict, Union, Iterator
from Controllers.Redis.response import RedisResponse
from Controllers.Redis.connection import redis_cli
from Controllers.Redis.base import RedisRow
class MainConfig:
DATETIME_FORMAT: str = "YYYY-MM-DD HH:mm:ss"
class RedisActions:
"""Class for handling Redis operations with JSON data."""
@classmethod
def get_expiry_time(cls, expiry_kwargs: Dict[str, int]) -> int:
"""
Calculate expiry time in seconds from kwargs.
Args:
expiry_kwargs: Dictionary with time units as keys (days, hours, minutes, seconds)
and their respective values.
Returns:
Total expiry time in seconds.
"""
time_multipliers = {"days": 86400, "hours": 3600, "minutes": 60, "seconds": 1}
return sum(
int(expiry_kwargs.get(unit, 0)) * multiplier
for unit, multiplier in time_multipliers.items()
)
@classmethod
def set_expiry_time(cls, expiry_seconds: int) -> Dict[str, int]:
"""
Convert total seconds back into a dictionary of time units.
Args:
expiry_seconds: Total expiry time in seconds.
Returns:
Dictionary with time units and their values.
"""
time_multipliers = {"days": 86400, "hours": 3600, "minutes": 60, "seconds": 1}
result = {}
remaining_seconds = expiry_seconds
if expiry_seconds < 0:
return {}
for unit, multiplier in time_multipliers.items():
if remaining_seconds >= multiplier:
result[unit], remaining_seconds = divmod(remaining_seconds, multiplier)
return result
@classmethod
def resolve_expires_at(cls, redis_row: RedisRow) -> str:
"""
Resolve expiry time for Redis key.
Args:
redis_row: RedisRow object containing the redis_key.
Returns:
Formatted expiry time string or message indicating no expiry.
"""
expiry_time = redis_cli.ttl(redis_row.redis_key)
if expiry_time == -1:
return "Key has no expiry time."
if expiry_time == -2:
return "Key does not exist."
return arrow.now().shift(seconds=expiry_time).format(MainConfig.DATETIME_FORMAT)
@classmethod
def key_exists(cls, key: Union[str, bytes]) -> bool:
"""
Check if a key exists in Redis without retrieving its value.
Args:
key: Redis key to check.
Returns:
Boolean indicating if key exists.
"""
return bool(redis_cli.exists(key))
@classmethod
def refresh_ttl(
cls, key: Union[str, bytes], expires: Dict[str, int]
) -> RedisResponse:
"""
Refresh TTL for an existing key.
Args:
key: Redis key to refresh TTL.
expires: Dictionary with time units to set new expiry.
Returns:
RedisResponse with operation result.
"""
try:
if not cls.key_exists(key):
return RedisResponse(
status=False,
message="Cannot refresh TTL: Key does not exist.",
)
expiry_time = cls.get_expiry_time(expiry_kwargs=expires)
redis_cli.expire(name=key, time=expiry_time)
expires_at_string = (
arrow.now()
.shift(seconds=expiry_time)
.format(MainConfig.DATETIME_FORMAT)
)
return RedisResponse(
status=True,
message="TTL refreshed successfully.",
data={"key": key, "expires_at": expires_at_string},
)
except Exception as e:
return RedisResponse(
status=False,
message="Failed to refresh TTL.",
error=str(e),
)
@classmethod
def delete_key(cls, key: Union[Optional[str], Optional[bytes]]) -> RedisResponse:
"""
Delete a specific key from Redis.
Args:
key: Redis key to delete.
Returns:
RedisResponse with operation result.
"""
try:
deleted_count = redis_cli.delete(key)
if deleted_count > 0:
return RedisResponse(
status=True,
message="Key deleted successfully.",
data={"deleted_count": deleted_count},
)
return RedisResponse(
status=False,
message="Key not found or already deleted.",
data={"deleted_count": 0},
)
except Exception as e:
return RedisResponse(
status=False,
message="Failed to delete key.",
error=str(e),
)
@classmethod
def delete(
cls, list_keys: List[Union[Optional[str], Optional[bytes]]]
) -> RedisResponse:
"""
Delete multiple keys matching a pattern.
Args:
list_keys: List of key components to form pattern for deletion.
Returns:
RedisResponse with operation result.
"""
try:
regex = RedisRow().regex(list_keys=list_keys)
json_get = redis_cli.scan_iter(match=regex)
deleted_keys, deleted_count = [], 0
# Use pipeline for batch deletion
with redis_cli.pipeline() as pipe:
for row in json_get:
pipe.delete(row)
deleted_keys.append(row)
results = pipe.execute()
deleted_count = sum(results)
return RedisResponse(
status=True,
message="Keys deleted successfully.",
data={"deleted_count": deleted_count, "deleted_keys": deleted_keys},
)
except Exception as e:
return RedisResponse(
status=False,
message="Failed to delete keys.",
error=str(e),
)
@classmethod
def set_json(
cls,
list_keys: List[Union[str, bytes]],
value: Optional[Union[Dict, List]],
expires: Optional[Dict[str, int]] = None,
) -> RedisResponse:
"""
Set JSON value in Redis with optional expiry.
Args:
list_keys: List of key components to form Redis key.
value: JSON-serializable data to store.
expires: Optional dictionary with time units for expiry.
Returns:
RedisResponse with operation result.
"""
redis_row = RedisRow()
redis_row.merge(set_values=list_keys)
redis_row.feed(value)
redis_row.expires_at_string = None
redis_row.expires_at = None
try:
if expires:
redis_row.expires_at = expires
expiry_time = cls.get_expiry_time(expiry_kwargs=expires)
redis_cli.setex(
name=redis_row.redis_key,
time=expiry_time,
value=redis_row.value,
)
redis_row.expires_at_string = str(
arrow.now()
.shift(seconds=expiry_time)
.format(MainConfig.DATETIME_FORMAT)
)
else:
redis_cli.set(name=redis_row.redis_key, value=redis_row.value)
return RedisResponse(
status=True,
message="Value set successfully.",
data=redis_row,
)
except Exception as e:
return RedisResponse(
status=False,
message="Failed to set value.",
error=str(e),
)
@classmethod
def get_json(
cls,
list_keys: List[Union[Optional[str], Optional[bytes]]],
limit: Optional[int] = None,
) -> RedisResponse:
"""
Get JSON values from Redis using pattern matching.
Args:
list_keys: List of key components to form pattern for retrieval.
limit: Optional limit on number of results to return.
Returns:
RedisResponse with operation result.
"""
try:
list_of_rows, count = [], 0
regex = RedisRow.regex(list_keys=list_keys)
json_get = redis_cli.scan_iter(match=regex)
for row in json_get:
if limit is not None and count >= limit:
break
redis_row = RedisRow()
redis_row.set_key(key=row)
# Use pipeline for batch retrieval
with redis_cli.pipeline() as pipe:
pipe.get(row)
pipe.ttl(row)
redis_value, redis_value_expire = pipe.execute()
redis_row.expires_at = cls.set_expiry_time(
expiry_seconds=int(redis_value_expire)
)
redis_row.expires_at_string = cls.resolve_expires_at(
redis_row=redis_row
)
redis_row.feed(redis_value)
list_of_rows.append(redis_row)
count += 1
if list_of_rows:
return RedisResponse(
status=True,
message="Values retrieved successfully.",
data=list_of_rows,
)
return RedisResponse(
status=False,
message="No matching keys found.",
data=list_of_rows,
)
except Exception as e:
return RedisResponse(
status=False,
message="Failed to retrieve values.",
error=str(e),
)
@classmethod
def get_json_iterator(
cls, list_keys: List[Union[Optional[str], Optional[bytes]]]
) -> Iterator[RedisRow]:
"""
Get JSON values from Redis as an iterator for memory-efficient processing of large datasets.
Args:
list_keys: List of key components to form pattern for retrieval.
Returns:
Iterator yielding RedisRow objects.
Raises:
RedisValueError: If there's an error processing a row
"""
regex = RedisRow.regex(list_keys=list_keys)
json_get = redis_cli.scan_iter(match=regex)
for row in json_get:
try:
redis_row = RedisRow()
redis_row.set_key(key=row)
# Use pipeline for batch retrieval
with redis_cli.pipeline() as pipe:
pipe.get(row)
pipe.ttl(row)
redis_value, redis_value_expire = pipe.execute()
redis_row.expires_at = cls.set_expiry_time(
expiry_seconds=int(redis_value_expire)
)
redis_row.expires_at_string = cls.resolve_expires_at(
redis_row=redis_row
)
redis_row.feed(redis_value)
yield redis_row
except Exception as e:
# Log the error and continue with next row
print(f"Error processing row {row}: {str(e)}")
continue

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from Controllers.Redis.database import RedisActions
import threading
import time
import random
import uuid
import concurrent.futures
def example_set_json() -> None:
"""Example of setting JSON data in Redis with and without expiry."""
# Example 1: Set JSON without expiry
data = {"name": "John", "age": 30, "city": "New York"}
keys = ["user", "profile", "123"]
result = RedisActions.set_json(list_keys=keys, value=data)
print("Set JSON without expiry:", result.as_dict())
# Example 2: Set JSON with expiry
expiry = {"hours": 1, "minutes": 30}
result = RedisActions.set_json(list_keys=keys, value=data, expires=expiry)
print("Set JSON with expiry:", result.as_dict())
def example_get_json() -> None:
"""Example of retrieving JSON data from Redis."""
# Example 1: Get all matching keys
keys = ["user", "profile", "*"]
result = RedisActions.get_json(list_keys=keys)
print("Get all matching JSON:", result.as_dict())
# Example 2: Get with limit
result = RedisActions.get_json(list_keys=keys, limit=5)
print("Get JSON with limit:", result.as_dict())
def example_get_json_iterator() -> None:
"""Example of using the JSON iterator for large datasets."""
keys = ["user", "profile", "*"]
for row in RedisActions.get_json_iterator(list_keys=keys):
print(
"Iterating over JSON row:",
row.as_dict if isinstance(row.as_dict, dict) else row.as_dict,
)
def example_delete_key() -> None:
"""Example of deleting a specific key."""
key = "user:profile:123"
result = RedisActions.delete_key(key)
print("Delete specific key:", result)
def example_delete() -> None:
"""Example of deleting multiple keys matching a pattern."""
keys = ["user", "profile", "*"]
result = RedisActions.delete(list_keys=keys)
print("Delete multiple keys:", result)
def example_refresh_ttl() -> None:
"""Example of refreshing TTL for a key."""
key = "user:profile:123"
new_expiry = {"hours": 2, "minutes": 0}
result = RedisActions.refresh_ttl(key=key, expires=new_expiry)
print("Refresh TTL:", result.as_dict())
def example_key_exists() -> None:
"""Example of checking if a key exists."""
key = "user:profile:123"
exists = RedisActions.key_exists(key)
print(f"Key {key} exists:", exists)
def example_resolve_expires_at() -> None:
"""Example of resolving expiry time for a key."""
from Controllers.Redis.base import RedisRow
redis_row = RedisRow()
redis_row.set_key("user:profile:123")
print(redis_row.keys)
expires_at = RedisActions.resolve_expires_at(redis_row)
print("Resolve expires at:", expires_at)
def run_all_examples() -> None:
"""Run all example functions to demonstrate RedisActions functionality."""
print("\n=== Redis Actions Examples ===\n")
print("1. Setting JSON data:")
example_set_json()
print("\n2. Getting JSON data:")
example_get_json()
print("\n3. Using JSON iterator:")
example_get_json_iterator()
# print("\n4. Deleting specific key:")
# example_delete_key()
#
# print("\n5. Deleting multiple keys:")
# example_delete()
print("\n6. Refreshing TTL:")
example_refresh_ttl()
print("\n7. Checking key existence:")
example_key_exists()
print("\n8. Resolving expiry time:")
example_resolve_expires_at()
def run_concurrent_test(num_threads=100):
"""Run a comprehensive concurrent test with multiple threads to verify Redis connection handling."""
print(
f"\nStarting comprehensive Redis concurrent test with {num_threads} threads..."
)
# Results tracking with detailed metrics
results = {
"passed": 0,
"failed": 0,
"retried": 0,
"errors": [],
"operation_times": [],
"retry_count": 0,
"max_retries": 3,
"retry_delay": 0.1,
}
results_lock = threading.Lock()
def worker(thread_id):
# Track operation timing
start_time = time.time()
retry_count = 0
success = False
error_message = None
while retry_count <= results["max_retries"] and not success:
try:
# Generate unique key for this thread
unique_id = str(uuid.uuid4())[:8]
full_key = f"test:concurrent:{thread_id}:{unique_id}"
# Simple string operations instead of JSON
test_value = f"test-value-{thread_id}-{time.time()}"
# Set data in Redis with pipeline for efficiency
from Controllers.Redis.database import redis_cli
# Use pipeline to reduce network overhead
with redis_cli.pipeline() as pipe:
pipe.set(full_key, test_value)
pipe.get(full_key)
pipe.delete(full_key)
results_list = pipe.execute()
# Check results
set_ok = results_list[0]
retrieved_value = results_list[1]
if isinstance(retrieved_value, bytes):
retrieved_value = retrieved_value.decode("utf-8")
# Verify data
success = set_ok and retrieved_value == test_value
if success:
break
else:
error_message = f"Data verification failed: set_ok={set_ok}, value_match={retrieved_value == test_value}"
retry_count += 1
with results_lock:
results["retry_count"] += 1
time.sleep(
results["retry_delay"] * (2**retry_count)
) # Exponential backoff
except Exception as e:
error_message = str(e)
retry_count += 1
with results_lock:
results["retry_count"] += 1
# Check if it's a connection error and retry
if "Too many connections" in str(e) or "Connection" in str(e):
# Exponential backoff for connection issues
backoff_time = results["retry_delay"] * (2**retry_count)
time.sleep(backoff_time)
else:
# For other errors, use a smaller delay
time.sleep(results["retry_delay"])
# Record operation time
operation_time = time.time() - start_time
# Update results
with results_lock:
if success:
results["passed"] += 1
results["operation_times"].append(operation_time)
if retry_count > 0:
results["retried"] += 1
else:
results["failed"] += 1
if error_message:
results["errors"].append(
f"Thread {thread_id} failed after {retry_count} retries: {error_message}"
)
else:
results["errors"].append(
f"Thread {thread_id} failed after {retry_count} retries with unknown error"
)
# Create and start threads using a thread pool
start_time = time.time()
with concurrent.futures.ThreadPoolExecutor(max_workers=num_threads) as executor:
futures = [executor.submit(worker, i) for i in range(num_threads)]
concurrent.futures.wait(futures)
# Calculate execution time and performance metrics
execution_time = time.time() - start_time
ops_per_second = num_threads / execution_time if execution_time > 0 else 0
# Calculate additional metrics if we have successful operations
avg_op_time = 0
min_op_time = 0
max_op_time = 0
p95_op_time = 0
if results["operation_times"]:
avg_op_time = sum(results["operation_times"]) / len(results["operation_times"])
min_op_time = min(results["operation_times"])
max_op_time = max(results["operation_times"])
# Calculate 95th percentile
sorted_times = sorted(results["operation_times"])
p95_index = int(len(sorted_times) * 0.95)
p95_op_time = (
sorted_times[p95_index]
if p95_index < len(sorted_times)
else sorted_times[-1]
)
# Print detailed results
print("\nConcurrent Redis Test Results:")
print(f"Total threads: {num_threads}")
print(f"Passed: {results['passed']}")
print(f"Failed: {results['failed']}")
print(f"Operations with retries: {results['retried']}")
print(f"Total retry attempts: {results['retry_count']}")
print(f"Success rate: {(results['passed'] / num_threads) * 100:.2f}%")
print("\nPerformance Metrics:")
print(f"Total execution time: {execution_time:.2f} seconds")
print(f"Operations per second: {ops_per_second:.2f}")
if results["operation_times"]:
print(f"Average operation time: {avg_op_time * 1000:.2f} ms")
print(f"Minimum operation time: {min_op_time * 1000:.2f} ms")
print(f"Maximum operation time: {max_op_time * 1000:.2f} ms")
print(f"95th percentile operation time: {p95_op_time * 1000:.2f} ms")
# Print errors (limited to 10 for readability)
if results["errors"]:
print("\nErrors:")
for i, error in enumerate(results["errors"][:10]):
print(f"- {error}")
if len(results["errors"]) > 10:
print(f"- ... and {len(results['errors']) - 10} more errors")
# Return results for potential further analysis
return results
if __name__ == "__main__":
# Run basic examples
run_all_examples()
# Run enhanced concurrent test
run_concurrent_test(10000)

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from typing import Union, Dict, Optional, Any
from Controllers.Redis.base import RedisRow
class RedisResponse:
"""
Base class for Redis response handling.
Provides a standardized way to return and process Redis operation results,
with tools to convert between different data representations.
"""
def __init__(
self,
status: bool,
message: str,
data: Any = None,
error: Optional[str] = None,
):
"""
Initialize a Redis response.
Args:
status: Operation success status
message: Human-readable message about the operation
data: Response data (can be None, RedisRow, list, or dict)
error: Optional error message if operation failed
"""
self.status = status
self.message = message
self.data = data
self.error = error
# Determine the data type
if isinstance(data, dict):
self.data_type = "dict"
elif isinstance(data, list):
self.data_type = "list"
elif isinstance(data, RedisRow):
self.data_type = "row"
elif isinstance(data, (int, float, str, bool)):
self.data_type = "primitive"
else:
self.data_type = None
def as_dict(self) -> Dict:
"""
Convert the response to a dictionary format suitable for serialization.
Returns:
Dictionary representation of the response
"""
# Base response fields
main_dict = {
"status": self.status,
"message": self.message,
"count": self.count,
"dataType": self.data_type,
}
# Add error if present
if self.error:
main_dict["error"] = self.error
data = self.all
# Process single RedisRow
if isinstance(data, RedisRow):
result = {**main_dict}
if hasattr(data, "keys") and hasattr(data, "row"):
if not isinstance(data.keys, str):
raise ValueError("RedisRow keys must be string type")
result[data.keys] = data.row
return result
# Process list of RedisRows
elif isinstance(data, list):
result = {**main_dict}
# Handle list of RedisRow objects
rows_dict = {}
for row in data:
if (
isinstance(row, RedisRow)
and hasattr(row, "keys")
and hasattr(row, "row")
):
if not isinstance(row.keys, str):
raise ValueError("RedisRow keys must be string type")
rows_dict[row.keys] = row.row
if rows_dict:
result["data"] = rows_dict
elif data: # If it's just a regular list with items
result["data"] = data
return result
# Process dictionary
elif isinstance(data, dict):
return {**main_dict, "data": data}
return main_dict
@property
def all(self) -> Any:
"""
Get all data from the response.
Returns:
All data or empty list if None
"""
return self.data if self.data is not None else []
@property
def count(self) -> int:
"""
Count the number of items in the response data.
Returns:
Number of items (0 if no data)
"""
data = self.all
if isinstance(data, list):
return len(data)
elif isinstance(data, (RedisRow, dict)):
return 1
return 0
@property
def first(self) -> Union[Dict, None]:
"""
Get the first item from the response data.
Returns:
First item as a dictionary or None if no data
"""
if not self.data:
return None
if isinstance(self.data, list) and self.data:
item = self.data[0]
if isinstance(item, RedisRow) and hasattr(item, "row"):
return item.row
return item
elif isinstance(self.data, RedisRow) and hasattr(self.data, "row"):
return self.data.row
elif isinstance(self.data, dict):
return self.data
return None
def is_successful(self) -> bool:
"""
Check if the operation was successful.
Returns:
Boolean indicating success status
"""
return self.status
def to_api_response(self) -> Dict:
"""
Format the response for API consumption.
Returns:
API-friendly response dictionary
"""
try:
response = {
"success": self.status,
"message": self.message,
}
if self.error:
response["error"] = self.error
if self.data is not None:
if self.data_type == "row" and hasattr(self.data, "to_dict"):
response["data"] = self.data.to_dict()
elif self.data_type == "list":
try:
if all(hasattr(item, "to_dict") for item in self.data):
response["data"] = [item.to_dict() for item in self.data]
else:
response["data"] = self.data
except Exception as e:
response["error"] = f"Error converting list items: {str(e)}"
else:
response["data"] = self.data
response["count"] = self.count
return response
except Exception as e:
return {
"success": False,
"message": "Error formatting response",
"error": str(e),
}

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import uvicorn
from api_initializer.config import api_config
from api_initializer.create_app import create_app
# from prometheus_fastapi_instrumentator import Instrumentator
app = create_app() # Create FastAPI application
# Instrumentator().instrument(app=app).expose(app=app) # Setup Prometheus metrics
if __name__ == "__main__":
# Run the application with Uvicorn Server
uvicorn_config = uvicorn.Config(**api_config.app_as_dict)
uvicorn.Server(uvicorn_config).run()

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from pydantic_settings import BaseSettings, SettingsConfigDict
from fastapi.responses import JSONResponse
class Configs(BaseSettings):
"""
ApiTemplate configuration settings.
"""
PATH: str = ""
HOST: str = ""
PORT: int = 0
LOG_LEVEL: str = "info"
RELOAD: int = 0
ACCESS_TOKEN_TAG: str = ""
ACCESS_EMAIL_EXT: str = ""
TITLE: str = ""
ALGORITHM: str = ""
ACCESS_TOKEN_LENGTH: int = 90
REFRESHER_TOKEN_LENGTH: int = 144
EMAIL_HOST: str = ""
DATETIME_FORMAT: str = ""
FORGOT_LINK: str = ""
ALLOW_ORIGINS: list = ["http://localhost:3000", "http://localhost:3001"]
VERSION: str = "0.1.001"
DESCRIPTION: str = ""
@property
def app_as_dict(self) -> dict:
"""
Convert the settings to a dictionary.
"""
return {
"app": self.PATH,
"host": self.HOST,
"port": int(self.PORT),
"log_level": self.LOG_LEVEL,
"reload": bool(self.RELOAD),
}
@property
def api_info(self):
"""
Returns a dictionary with application information.
"""
return {
"title": self.TITLE,
"description": self.DESCRIPTION,
"default_response_class": JSONResponse,
"version": self.VERSION,
}
@classmethod
def forgot_link(cls, forgot_key):
"""
Generate a forgot password link.
"""
return cls.FORGOT_LINK + forgot_key
model_config = SettingsConfigDict(env_prefix="API_")
api_config = Configs()

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from fastapi import FastAPI, Request
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import RedirectResponse
from event_clusters import RouterCluster, EventCluster
from config import api_config
cluster_is_set = False
def create_events_if_any_cluster_set():
import events
global cluster_is_set
if not events.__all__ or cluster_is_set:
return
router_cluster_stack: list[RouterCluster] = [getattr(events, e, None) for e in events.__all__]
for router_cluster in router_cluster_stack:
event_cluster_stack: list[EventCluster] = list(router_cluster.event_clusters.values())
for event_cluster in event_cluster_stack:
try:
event_cluster.set_events_to_database()
except Exception as e:
print(f"Error creating event cluster: {e}")
cluster_is_set = True
def create_app():
from open_api_creator import create_openapi_schema
from middlewares.token_middleware import token_middleware
from create_route import RouteRegisterController
from endpoints.routes import get_routes
application = FastAPI(**api_config.api_info)
application.add_middleware(
CORSMiddleware,
allow_origins=api_config.ALLOW_ORIGINS,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@application.middleware("http")
async def add_token_middleware(request: Request, call_next):
return await token_middleware(request, call_next)
@application.get("/", description="Redirect Route", include_in_schema=False)
async def redirect_to_docs():
return RedirectResponse(url="/docs")
route_register = RouteRegisterController(app=application, router_list=get_routes())
application = route_register.register_routes()
create_events_if_any_cluster_set()
application.openapi = lambda _=application: create_openapi_schema(_)
return application

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from typing import List
from fastapi import APIRouter, FastAPI
class RouteRegisterController:
def __init__(self, app: FastAPI, router_list: List[APIRouter]):
self.router_list = router_list
self.app = app
@staticmethod
def add_router_with_event_to_database(router: APIRouter):
from schemas import EndpointRestriction
# Endpoint operation_id is static now if record exits update() record else create()
with EndpointRestriction.new_session() as db_session:
for route in router.routes:
route_path = str(getattr(route, "path"))
route_summary = str(getattr(route, "name"))
operation_id = getattr(route, "operation_id", None)
if not operation_id:
raise ValueError(f"Route {route_path} operation_id is not found")
for route_method in [
method.lower() for method in getattr(route, "methods")
]:
methods = [method.lower() for method in getattr(route, "methods")]
print('methods count : ', len(methods))
print(dict(
route_method=route_method,
operation_uu_id=operation_id,
route_path=route_path,
route_summary=route_summary,
))
# add_or_update_dict = dict(
# endpoint_method=route_method,
# endpoint_name=route_path,
# endpoint_desc=route_summary.replace("_", " "),
# endpoint_function=route_summary,
# operation_uu_id=operation_id,
# is_confirmed=True,
# )
# endpoint_restriction_found = EndpointRestriction.filter_one_system(
# EndpointRestriction.operation_uu_id == operation_id, db=db_session,
# ).data
# if endpoint_restriction_found:
# endpoint_restriction_found.update(**add_or_update_dict, db=db_session)
# endpoint_restriction_found.save(db=db_session)
# else:
# restriction = EndpointRestriction.find_or_create(**add_or_update_dict, db=db_session)
# if restriction.meta_data.created:
# restriction.save(db=db_session)
def register_routes(self):
for router in self.router_list:
self.app.include_router(router)
self.add_router_with_event_to_database(router)
return self.app

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from typing import Optional, Type
from pydantic import BaseModel
class EventCluster:
"""
EventCluster
"""
def __repr__(self):
return f"EventCluster(name={self.name})"
def __init__(self, endpoint_uu_id: str, name: str):
self.endpoint_uu_id = endpoint_uu_id
self.name = name
self.events: list["Event"] = []
def add_event(self, event: "Event"):
"""
Add an event to the cluster
"""
if event.key not in [e.key for e in self.events]:
self.events.append(event)
def get_event(self, event_key: str):
"""
Get an event by its key
"""
for event in self.events:
if event.key == event_key:
return event
return None
def set_events_to_database(self):
from schemas import Events, EndpointRestriction
with Events.new_session() as db_session:
# if to_save_endpoint := EndpointRestriction.filter_one(
# EndpointRestriction.operation_uu_id == self.endpoint_uu_id,
# db=db_session,
# ).data:
for event in self.events:
event_dict_to_save = dict(
function_code=event.key,
function_class=event.name,
description=event.description,
endpoint_code=self.endpoint_uu_id,
endpoint_id=to_save_endpoint.id,
endpoint_uu_id=str(to_save_endpoint.uu_id),
is_confirmed=True,
db=db_session,
)
print('event_dict_to_save', event_dict_to_save)
# event_found = Events.filter_one(
# Events.function_code == event_dict_to_save["function_code"],
# db=db_session,
# ).data
# if event_found:
# event_found.update(**event_dict_to_save)
# event_found.save(db=db_session)
# else:
# event_to_save_database = Events.find_or_create(
# **event_dict_to_save,
# include_args=[
# Events.function_code,
# Events.function_class,
# Events.endpoint_code,
# Events.endpoint_uu_id,
# ]
# )
# if event_to_save_database.meta_data.created:
# print(f"UUID: {event_to_save_database.uu_id} event is saved to {to_save_endpoint.uu_id}")
# event_to_save_database.save(db=db_session)
def match_event(self, event_key: str) -> "Event":
"""
Match an event by its key
"""
if event := self.get_event(event_key=event_key):
return event
raise ValueError("Event key not found")
class Event:
def __init__(
self,
name: str,
key: str,
request_validator: Optional[Type[BaseModel]] = None,
response_validator: Optional[Type[BaseModel]] = None,
description: str = "",
):
self.name = name
self.key = key
self.request_validator = request_validator
self.response_validator = response_validator
self.description = description
def event_callable(self):
"""
Example callable method
"""
print(self.name)
return {}
class RouterCluster:
"""
RouterCluster
"""
def __repr__(self):
return f"RouterCluster(name={self.name})"
def __init__(self, name: str):
self.name = name
self.event_clusters: dict[str, EventCluster] = {}
def set_event_cluster(self, event_cluster: EventCluster):
"""
Add an event cluster to the set
"""
print("Setting event cluster:", event_cluster.name)
if event_cluster.name not in self.event_clusters:
self.event_clusters[event_cluster.name] = event_cluster
def get_event_cluster(self, event_cluster_name: str) -> EventCluster:
"""
Get an event cluster by its name
"""
if event_cluster_name not in self.event_clusters:
raise ValueError("Event cluster not found")
return self.event_clusters[event_cluster_name]

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from typing import Any, Dict
from fastapi import FastAPI
from fastapi.routing import APIRoute
from fastapi.openapi.utils import get_openapi
from endpoints.routes import get_safe_endpoint_urls
from config import api_config
class OpenAPISchemaCreator:
"""
OpenAPI schema creator and customizer for FastAPI applications.
"""
def __init__(self, app: FastAPI):
"""
Initialize the OpenAPI schema creator.
Args:
app: FastAPI application instance
"""
self.app = app
self.safe_endpoint_list: list[tuple[str, str]] = get_safe_endpoint_urls()
self.routers_list = self.app.routes
@staticmethod
def create_security_schemes() -> Dict[str, Any]:
"""
Create security scheme definitions.
Returns:
Dict[str, Any]: Security scheme configurations
"""
return {
"BearerAuth": {
"type": "apiKey",
"in": "header",
"name": api_config.ACCESS_TOKEN_TAG,
"description": "Enter: **'Bearer &lt;JWT&gt;'**, where JWT is the access token",
}
}
def configure_route_security(
self, path: str, method: str, schema: Dict[str, Any]
) -> None:
"""
Configure security requirements for a specific route.
Args:
path: Route path
method: HTTP method
schema: OpenAPI schema to modify
"""
if not schema.get("paths", {}).get(path, {}).get(method):
return
# Check if endpoint is in safe list
endpoint_path = f"{path}:{method}"
list_of_safe_endpoints = [
f"{e[0]}:{str(e[1]).lower()}" for e in self.safe_endpoint_list
]
if endpoint_path not in list_of_safe_endpoints:
if "security" not in schema["paths"][path][method]:
schema["paths"][path][method]["security"] = []
schema["paths"][path][method]["security"].append({"BearerAuth": []})
def create_schema(self) -> Dict[str, Any]:
"""
Create the complete OpenAPI schema.
Returns:
Dict[str, Any]: Complete OpenAPI schema
"""
openapi_schema = get_openapi(
title=api_config.TITLE,
description=api_config.DESCRIPTION,
version=api_config.VERSION,
routes=self.app.routes,
)
# Add security schemes
if "components" not in openapi_schema:
openapi_schema["components"] = {}
openapi_schema["components"]["securitySchemes"] = self.create_security_schemes()
# Configure route security and responses
for route in self.app.routes:
if isinstance(route, APIRoute) and route.include_in_schema:
path = str(route.path)
methods = [method.lower() for method in route.methods]
for method in methods:
self.configure_route_security(path, method, openapi_schema)
# Add custom documentation extensions
openapi_schema["x-documentation"] = {
"postman_collection": "/docs/postman",
"swagger_ui": "/docs",
"redoc": "/redoc",
}
return openapi_schema
def create_openapi_schema(app: FastAPI) -> Dict[str, Any]:
"""
Create OpenAPI schema for a FastAPI application.
Args:
app: FastAPI application instance
Returns:
Dict[str, Any]: Complete OpenAPI schema
"""
creator = OpenAPISchemaCreator(app)
return creator.create_schema()

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if __name__ == "__main__":
import time
while True:
time.sleep(10)

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from fastapi import Request, status
from fastapi.responses import JSONResponse
from config import api_config
from endpoints.routes import get_safe_endpoint_urls
async def token_middleware(request: Request, call_next):
base_url = request.url.path
safe_endpoints = [_[0] for _ in get_safe_endpoint_urls()]
if base_url in safe_endpoints:
return await call_next(request)
token = request.headers.get(api_config.ACCESS_TOKEN_TAG, None)
if not token:
return JSONResponse(
content={
"error": "EYS_0002",
},
status_code=status.HTTP_401_UNAUTHORIZED,
)
response = await call_next(request)
return response

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from fastapi import Header, Request, Response
from pydantic import BaseModel
from api_services.api_initializer.config import api_config
class CommonHeaders(BaseModel):
language: str | None = None
domain: str | None = None
timezone: str | None = None
token: str | None = None
request: Request | None = None
response: Response | None = None
operation_id: str | None = None
model_config = {
"arbitrary_types_allowed": True
}
@classmethod
def as_dependency(
cls,
request: Request,
response: Response,
language: str = Header(None, alias="language"),
domain: str = Header(None, alias="domain"),
tz: str = Header(None, alias="timezone"),
):
token = request.headers.get(api_config.ACCESS_TOKEN_TAG, None)
# Extract operation_id from the route
operation_id = None
if hasattr(request.scope.get("route"), "operation_id"):
operation_id = request.scope.get("route").operation_id
return cls(
language=language,
domain=domain,
timezone=tz,
token=token,
request=request,
response=response,
operation_id=operation_id,
)
def get_headers_dict(self):
"""Convert the headers to a dictionary format used in the application"""
import uuid
return {
"language": self.language or "",
"domain": self.domain or "",
"eys-ext": f"{str(uuid.uuid4())}",
"tz": self.timezone or "GMT+3",
"token": self.token,
}

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class BaseModelCore(BaseModel):
"""
BaseModelCore
model_dump override for alias support Users.name -> Table[Users] Field(alias="name")
"""
__abstract__ = True
class Config:
validate_by_name = True
use_enum_values = True
def model_dump(self, *args, **kwargs):
data = super().model_dump(*args, **kwargs)
return {self.__class__.model_fields[field].alias: value for field, value in data.items()}

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from .result import PaginationResult
from .base import PostgresResponseSingle
from pydantic import BaseModel
from typing import Any
class EndpointResponse(BaseModel):
"""Endpoint response model."""
completed: bool = True
message: str = "Success"
pagination_result: PaginationResult
@property
def response(self):
"""Convert response to dictionary format."""
result_data = getattr(self.pagination_result, "data", None)
if not result_data:
return {
"completed": False,
"message": "MSG0004-NODATA",
"data": None,
"pagination": None,
}
result_pagination = getattr(self.pagination_result, "pagination", None)
if not result_pagination:
raise ValueError("Invalid pagination result pagination.")
pagination_dict = getattr(result_pagination, "as_dict", None)
if not pagination_dict:
raise ValueError("Invalid pagination result as_dict.")
return {
"completed": self.completed,
"message": self.message,
"data": result_data,
"pagination": pagination_dict,
}
class CreateEndpointResponse(BaseModel):
"""Create endpoint response model."""
completed: bool = True
message: str = "Success"
data: PostgresResponseSingle
@property
def response(self):
"""Convert response to dictionary format."""
return {
"completed": self.completed,
"message": self.message,
"data": self.data.data,
}

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"""
Response handler for PostgreSQL query results.
This module provides a wrapper class for SQLAlchemy query results,
adding convenience methods for accessing data and managing query state.
"""
from typing import Any, Dict, Optional, TypeVar, Generic, Union
from pydantic import BaseModel
from sqlalchemy.orm import Query
T = TypeVar("T")
class PostgresResponse(Generic[T]):
"""
Wrapper for PostgreSQL/SQLAlchemy query results.
Properties:
count: Total count of results
query: Get query object
as_dict: Convert response to dictionary format
"""
def __init__(self, query: Query, base_model: Optional[BaseModel] = None):
self._query = query
self._count: Optional[int] = None
self._base_model: Optional[BaseModel] = base_model
self.single = False
@property
def query(self) -> Query:
"""Get query object."""
return self._query
@property
def data(self) -> Union[list[T], T]:
"""Get query object."""
return self._query.all()
@property
def count(self) -> int:
"""Get query object."""
return self._query.count()
@property
def to_dict(self, **kwargs) -> list[dict]:
"""Get query object."""
if self._base_model:
return [self._base_model(**item.to_dict()).model_dump(**kwargs) for item in self.data]
return [item.to_dict() for item in self.data]
@property
def as_dict(self) -> Dict[str, Any]:
"""Convert response to dictionary format."""
return {
"query": str(self.query),
"count": self.count,
"data": self.to_dict,
}
class PostgresResponseSingle(Generic[T]):
"""
Wrapper for PostgreSQL/SQLAlchemy query results.
Properties:
count: Total count of results
query: Get query object
as_dict: Convert response to dictionary format
data: Get query object
"""
def __init__(self, query: Query, base_model: Optional[BaseModel] = None):
self._query = query
self._count: Optional[int] = None
self._base_model: Optional[BaseModel] = base_model
self.single = True
@property
def query(self) -> Query:
"""Get query object."""
return self._query
@property
def to_dict(self, **kwargs) -> dict:
"""Get query object."""
if self._base_model:
return self._base_model(**self._query.first().to_dict()).model_dump(**kwargs)
return self._query.first().to_dict()
@property
def data(self) -> T:
"""Get query object."""
return self._query.first()
@property
def count(self) -> int:
"""Get query object."""
return self._query.count()
@property
def as_dict(self) -> Dict[str, Any]:
"""Convert response to dictionary format."""
return {"query": str(self.query),"data": self.to_dict, "count": self.count}
class ResultQueryJoin:
"""
ResultQueryJoin
params:
list_of_instrumented_attributes: list of instrumented attributes
query: query object
"""
def __init__(self, list_of_instrumented_attributes, query):
"""Initialize ResultQueryJoin"""
self.list_of_instrumented_attributes = list_of_instrumented_attributes
self._query = query
@property
def query(self):
"""Get query object."""
return self._query
@property
def to_dict(self):
"""Convert response to dictionary format."""
list_of_dictionaries, result = [], dict()
for user_orders_shipping_iter in self.query.all():
for index, instrumented_attribute_iter in enumerate(self.list_of_instrumented_attributes):
result[str(instrumented_attribute_iter)] = user_orders_shipping_iter[index]
list_of_dictionaries.append(result)
return list_of_dictionaries
@property
def count(self):
"""Get count of query."""
return self.query.count()
@property
def data(self):
"""Get query object."""
return self.query.all()
@property
def as_dict(self):
"""Convert response to dictionary format."""
return {"query": str(self.query), "data": self.data, "count": self.count}
class ResultQueryJoinSingle:
"""
ResultQueryJoinSingle
params:
list_of_instrumented_attributes: list of instrumented attributes
query: query object
"""
def __init__(self, list_of_instrumented_attributes, query):
"""Initialize ResultQueryJoinSingle"""
self.list_of_instrumented_attributes = list_of_instrumented_attributes
self._query = query
@property
def query(self):
"""Get query object."""
return self._query
@property
def to_dict(self):
"""Convert response to dictionary format."""
data, result = self.query.first(), dict()
for index, instrumented_attribute_iter in enumerate(self.list_of_instrumented_attributes):
result[str(instrumented_attribute_iter)] = data[index]
return result
@property
def count(self):
"""Get count of query."""
return self.query.count()
@property
def data(self):
"""Get query object."""
return self._query.first()
@property
def as_dict(self):
"""Convert response to dictionary format."""
return {"query": str(self.query), "data": self.data, "count": self.count}

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class UserPydantic(BaseModel):
username: str = Field(..., alias='user.username')
account_balance: float = Field(..., alias='user.account_balance')
preferred_category_id: Optional[int] = Field(None, alias='user.preferred_category_id')
last_ordered_product_id: Optional[int] = Field(None, alias='user.last_ordered_product_id')
supplier_rating_id: Optional[int] = Field(None, alias='user.supplier_rating_id')
other_rating_id: Optional[int] = Field(None, alias='product.supplier_rating_id')
id: int = Field(..., alias='user.id')
class Config:
validate_by_name = True
use_enum_values = True
def model_dump(self, *args, **kwargs):
data = super().model_dump(*args, **kwargs)
return {self.__class__.model_fields[field].alias: value for field, value in data.items()}

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from typing import Any, Dict, Optional, Union, TypeVar, Type
from sqlalchemy import desc, asc
from pydantic import BaseModel
from .base import PostgresResponse
# Type variable for class methods returning self
T = TypeVar("T", bound="BaseModel")
class PaginateConfig:
"""
Configuration for pagination settings.
Attributes:
DEFAULT_SIZE: Default number of items per page (10)
MIN_SIZE: Minimum allowed page size (10)
MAX_SIZE: Maximum allowed page size (40)
"""
DEFAULT_SIZE = 10
MIN_SIZE = 5
MAX_SIZE = 100
class ListOptions(BaseModel):
"""
Query for list option abilities
"""
page: Optional[int] = 1
size: Optional[int] = 10
orderField: Optional[Union[tuple[str], list[str]]] = ["uu_id"]
orderType: Optional[Union[tuple[str], list[str]]] = ["asc"]
# include_joins: Optional[list] = None
class PaginateOnly(ListOptions):
"""
Query for list option abilities
"""
query: Optional[dict] = None
class PaginationConfig(BaseModel):
"""
Configuration for pagination settings.
Attributes:
page: Current page number (default: 1)
size: Items per page (default: 10)
orderField: Field to order by (default: "created_at")
orderType: Order direction (default: "desc")
"""
page: int = 1
size: int = 10
orderField: Optional[Union[tuple[str], list[str]]] = ["created_at"]
orderType: Optional[Union[tuple[str], list[str]]] = ["desc"]
def __init__(self, **data):
super().__init__(**data)
if self.orderField is None:
self.orderField = ["created_at"]
if self.orderType is None:
self.orderType = ["desc"]
default_paginate_config = PaginateConfig()

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from .pagination import default_paginate_config
from .base import PostgresResponse
from typing import Optional, Union
from sqlalchemy.orm import Query
from pydantic import BaseModel
class Pagination:
"""
Handles pagination logic for query results.
Manages page size, current page, ordering, and calculates total pages
and items based on the data source.
Attributes:
DEFAULT_SIZE: Default number of items per page (10)
MIN_SIZE: Minimum allowed page size (10)
MAX_SIZE: Maximum allowed page size (40)
"""
DEFAULT_SIZE = default_paginate_config.DEFAULT_SIZE
MIN_SIZE = default_paginate_config.MIN_SIZE
MAX_SIZE = default_paginate_config.MAX_SIZE
def __init__(self, data: PostgresResponse):
self.data = data
self.size: int = self.DEFAULT_SIZE
self.page: int = 1
self.orderField: Optional[Union[tuple[str], list[str]]] = ["uu_id"]
self.orderType: Optional[Union[tuple[str], list[str]]] = ["asc"]
self.page_count: int = 1
self.total_count: int = 0
self.all_count: int = 0
self.total_pages: int = 1
self._update_page_counts()
def change(self, **kwargs) -> None:
"""Update pagination settings from config."""
config = PaginationConfig(**kwargs)
self.size = (
config.size
if self.MIN_SIZE <= config.size <= self.MAX_SIZE
else self.DEFAULT_SIZE
)
self.page = config.page
self.orderField = config.order_field
self.orderType = config.order_type
self._update_page_counts()
def feed(self, data: PostgresResponse) -> None:
"""Calculate pagination based on data source."""
self.data = data
self._update_page_counts()
def _update_page_counts(self) -> None:
"""Update page counts and validate current page."""
if self.data:
self.total_count = self.data.count
self.all_count = self.data.total_count
self.size = (
self.size
if self.MIN_SIZE <= self.size <= self.MAX_SIZE
else self.DEFAULT_SIZE
)
self.total_pages = max(1, (self.total_count + self.size - 1) // self.size)
self.page = max(1, min(self.page, self.total_pages))
self.page_count = (
self.total_count % self.size
if self.page == self.total_pages and self.total_count % self.size
else self.size
)
def refresh(self) -> None:
"""Reset pagination state to defaults."""
self._update_page_counts()
def reset(self) -> None:
"""Reset pagination state to defaults."""
self.size = self.DEFAULT_SIZE
self.page = 1
self.orderField = "uu_id"
self.orderType = "asc"
@property
def next_available(self) -> bool:
if self.page < self.total_pages:
return True
return False
@property
def back_available(self) -> bool:
if self.page > 1:
return True
return False
@property
def as_dict(self) -> Dict[str, Any]:
"""Convert pagination state to dictionary format."""
self.refresh()
return {
"size": self.size,
"page": self.page,
"allCount": self.all_count,
"totalCount": self.total_count,
"totalPages": self.total_pages,
"pageCount": self.page_count,
"orderField": self.orderField,
"orderType": self.orderType,
"next": self.next_available,
"back": self.back_available,
}
class PaginationResult:
"""
Result of a paginated query.
Contains the query result and pagination state.
data: PostgresResponse of query results
pagination: Pagination state
Attributes:
_query: Original query object
pagination: Pagination state
"""
def __init__(
self,
data: PostgresResponse,
pagination: Pagination,
response_model: Type[T] = None,
):
self._query = data.query
self.pagination = pagination
self.response_type = data.is_list
self.limit = self.pagination.size
self.offset = self.pagination.size * (self.pagination.page - 1)
self.order_by = self.pagination.orderField
self.response_model = response_model
def dynamic_order_by(self):
"""
Dynamically order a query by multiple fields.
Returns:
Ordered query object.
"""
if not len(self.order_by) == len(self.pagination.orderType):
raise ValueError(
"Order by fields and order types must have the same length."
)
order_criteria = zip(self.order_by, self.pagination.orderType)
for field, direction in order_criteria:
if hasattr(self._query.column_descriptions[0]["entity"], field):
if direction.lower().startswith("d"):
self._query = self._query.order_by(
desc(
getattr(self._query.column_descriptions[0]["entity"], field)
)
)
else:
self._query = self._query.order_by(
asc(
getattr(self._query.column_descriptions[0]["entity"], field)
)
)
return self._query
@property
def data(self) -> Union[list | dict]:
"""Get query object."""
query_ordered = self.dynamic_order_by()
query_paginated = query_ordered.limit(self.limit).offset(self.offset)
queried_data = (
query_paginated.all() if self.response_type else query_paginated.first()
)
data = (
[result.get_dict() for result in queried_data]
if self.response_type
else queried_data.get_dict()
)
if self.response_model:
return [self.response_model(**item).model_dump() for item in data]
return data

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[project]
name = "api-services"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"alembic>=1.15.2",
"arrow>=1.3.0",
"cryptography>=44.0.2",
"faker>=37.1.0",
"fastapi>=0.115.12",
"pandas>=2.2.3",
"prometheus-fastapi-instrumentator>=7.1.0",
"psycopg2-binary>=2.9.10",
"pydantic-settings>=2.8.1",
"pymongo>=4.11.3",
"pytest>=8.3.5",
"redbox>=0.2.1",
"redis>=5.2.1",
"redmail>=0.6.0",
"requests>=2.32.3",
"sqlalchemy-mixins>=2.0.5",
"textdistance>=4.6.3",
"unidecode>=1.3.8",
"uvicorn>=0.34.0",
]

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from schemas.account.account import (
AccountBooks,
AccountCodes,
AccountCodeParser,
AccountMaster,
AccountDetail,
AccountRecordExchanges,
AccountRecords,
)
from schemas.account.iban import (
BuildIbans,
BuildIbanDescription,
)
from schemas.address.address import (
RelationshipEmployee2PostCode,
AddressPostcode,
Addresses,
AddressGeographicLocations,
AddressCountry,
AddressState,
AddressCity,
AddressDistrict,
AddressLocality,
AddressNeighborhood,
AddressStreet,
)
from schemas.building.build import (
BuildTypes,
Part2Employee,
RelationshipEmployee2Build,
Build,
BuildParts,
BuildLivingSpace,
BuildManagement,
BuildArea,
BuildSites,
BuildCompaniesProviding,
BuildPersonProviding,
)
from schemas.building.decision_book import (
BuildDecisionBook,
BuildDecisionBookInvitations,
BuildDecisionBookPerson,
BuildDecisionBookPersonOccupants,
BuildDecisionBookItems,
BuildDecisionBookItemsUnapproved,
BuildDecisionBookPayments,
BuildDecisionBookLegal,
BuildDecisionBookProjects,
BuildDecisionBookProjectPerson,
BuildDecisionBookProjectItems,
)
from schemas.building.budget import (
DecisionBookBudgetBooks,
DecisionBookBudgetCodes,
DecisionBookBudgetMaster,
DecisionBookBudgets,
)
from schemas.company.company import (
Companies,
RelationshipDutyCompany,
)
from schemas.company.employee import (
Employees,
EmployeesSalaries,
EmployeeHistory,
Staff,
)
from schemas.company.department import (
Duty,
Duties,
Departments,
)
from schemas.event.event import (
Modules,
Services,
Service2Events,
Service2Application,
Events,
Event2Occupant,
Event2Employee,
Event2OccupantExtra,
Event2EmployeeExtra,
Applications,
Application2Employee,
Application2Occupant,
Application2EmployeeExtra,
Application2OccupantExtra,
)
from schemas.identity.identity import (
UsersTokens,
OccupantTypes,
People,
Users,
Credentials,
RelationshipDutyPeople,
Contracts,
)
from schemas.address.address import (
Addresses,
AddressCity,
AddressStreet,
AddressLocality,
AddressDistrict,
AddressNeighborhood,
AddressState,
AddressCountry,
AddressPostcode,
AddressGeographicLocations,
RelationshipEmployee2PostCode,
)
from schemas.others.enums import (
ApiEnumDropdown,
)
from schemas.rules.rules import (
EndpointRestriction,
)
__all__ = [
"AccountBooks",
"AccountCodes",
"AccountCodeParser",
"AccountMaster",
"AccountDetail",
"AccountRecordExchanges",
"AccountRecords",
"BuildIbans",
"BuildIbanDescription",
"RelationshipEmployee2PostCode",
"AddressPostcode",
"Addresses",
"AddressGeographicLocations",
"AddressCountry",
"AddressState",
"AddressCity",
"AddressDistrict",
"AddressLocality",
"AddressNeighborhood",
"AddressStreet",
"BuildTypes",
"Part2Employee",
"RelationshipEmployee2Build",
"Build",
"BuildParts",
"BuildLivingSpace",
"BuildManagement",
"BuildArea",
"BuildSites",
"BuildCompaniesProviding",
"BuildPersonProviding",
"BuildDecisionBook",
"BuildDecisionBookInvitations",
"BuildDecisionBookPerson",
"BuildDecisionBookPersonOccupants",
"BuildDecisionBookItems",
"BuildDecisionBookItemsUnapproved",
"BuildDecisionBookPayments",
"BuildDecisionBookLegal",
"BuildDecisionBookProjects",
"BuildDecisionBookProjectPerson",
"BuildDecisionBookPersonOccupants",
"BuildDecisionBookProjectItems",
"DecisionBookBudgetBooks",
"DecisionBookBudgetCodes",
"DecisionBookBudgetMaster",
"DecisionBookBudgets",
"Companies",
"RelationshipDutyCompany",
"Employees",
"EmployeesSalaries",
"EmployeeHistory",
"Staff",
"Duty",
"Duties",
"Departments",
"Modules",
"Services",
"Service2Events",
"Events",
"Event2Occupant",
"Event2Employee",
"Event2OccupantExtra",
"Event2EmployeeExtra",
"Applications",
"Application2Employee",
"Application2Occupant",
"Addresses",
"AddressCity",
"AddressStreet",
"AddressLocality",
"AddressDistrict",
"AddressNeighborhood",
"AddressState",
"AddressCountry",
"AddressPostcode",
"AddressGeographicLocations",
"UsersTokens",
"OccupantTypes",
"People",
"Users",
"Credentials",
"RelationshipDutyPeople",
"RelationshipEmployee2PostCode",
"Contracts",
"ApiEnumDropdown",
"EndpointRestriction",
"RelationshipEmployee2Build",
# ------------------------------------------------
]

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from schemas.base_imports import (
CrudCollection,
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Numeric,
SmallInteger,
mapped_column,
Mapped,
)
class AccountBooks(CrudCollection):
__tablename__ = "account_books"
__exclude__fields__ = []
country: Mapped[str] = mapped_column(String, nullable=False)
branch_type: Mapped[int] = mapped_column(SmallInteger, server_default="0")
company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"), nullable=False)
company_uu_id: Mapped[str] = mapped_column(String, nullable=False)
branch_id: Mapped[int] = mapped_column(ForeignKey("companies.id"))
branch_uu_id: Mapped[str] = mapped_column(String, comment="Branch UU ID")
__table_args__ = (
Index("account_companies_book_ndx_00", company_id, "expiry_starts"),
{"comment": "Account Book Information"},
)
class AccountCodes(CrudCollection):
__tablename__ = "account_codes"
__exclude__fields__ = []
account_code: Mapped[str] = mapped_column(
String(48), nullable=False, comment="Account Code"
)
comment_line: Mapped[str] = mapped_column(
String(128), nullable=False, comment="Comment Line"
)
is_receive_or_debit: Mapped[bool] = mapped_column(Boolean)
product_id: Mapped[int] = mapped_column(Integer, server_default="0")
nvi_id: Mapped[str] = mapped_column(String(48), server_default="")
status_id: Mapped[int] = mapped_column(SmallInteger, server_default="0")
account_code_seperator: Mapped[str] = mapped_column(String(1), server_default=".")
system_id: Mapped[int] = mapped_column(SmallInteger, server_default="0")
locked: Mapped[int] = mapped_column(SmallInteger, server_default="0")
company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"))
company_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Company UU ID"
)
customer_id: Mapped[int] = mapped_column(ForeignKey("companies.id"))
customer_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Customer UU ID"
)
person_id: Mapped[int] = mapped_column(ForeignKey("people.id"))
person_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Person UU ID"
)
__table_args__ = ({"comment": "Account Code Information"},)
class AccountCodeParser(CrudCollection):
__tablename__ = "account_code_parser"
__exclude__fields__ = []
account_code_1: Mapped[str] = mapped_column(String, nullable=False, comment="Order")
account_code_2: Mapped[str] = mapped_column(String, nullable=False, comment="Order")
account_code_3: Mapped[str] = mapped_column(String, nullable=False, comment="Order")
account_code_4: Mapped[str] = mapped_column(String, server_default="")
account_code_5: Mapped[str] = mapped_column(String, server_default="")
account_code_6: Mapped[str] = mapped_column(String, server_default="")
account_code_id: Mapped[int] = mapped_column(
ForeignKey("account_codes.id"), nullable=False
)
account_code_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Account Code UU ID"
)
__table_args__ = (
Index("_account_code_parser_ndx_00", account_code_id),
{"comment": "Account Code Parser Information"},
)
@property
def get_account_code(self):
return f"{self.account_codes.account_code_seperator}".join(
[
getattr(self, f"account_code_{i}")
for i in range(1, 7)
if getattr(self, f"account_code_{i}")
]
)
class AccountMaster(CrudCollection):
"""
AccountCodes class based on declarative_base and CrudCollection via session
"""
__tablename__ = "account_master"
__exclude__fields__ = []
doc_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Document Date"
)
plug_type: Mapped[str] = mapped_column(String, nullable=False, comment="Plug Type")
plug_number: Mapped[int] = mapped_column(
Integer, nullable=False, comment="Plug Number"
)
special_code: Mapped[str] = mapped_column(String(12), server_default="")
authorization_code: Mapped[str] = mapped_column(String(12), server_default="")
doc_code: Mapped[str] = mapped_column(String(12), server_default="")
doc_type: Mapped[int] = mapped_column(SmallInteger, server_default="0")
comment_line1: Mapped[str] = mapped_column(String, server_default="")
comment_line2: Mapped[str] = mapped_column(String, server_default="")
comment_line3: Mapped[str] = mapped_column(String, server_default="")
comment_line4: Mapped[str] = mapped_column(String, server_default="")
comment_line5: Mapped[str] = mapped_column(String, server_default="")
comment_line6: Mapped[str] = mapped_column(String, server_default="")
project_code: Mapped[str] = mapped_column(String(12), server_default="")
module_no: Mapped[str] = mapped_column(String, server_default="")
journal_no: Mapped[int] = mapped_column(Integer, server_default="0")
status_id: Mapped[int] = mapped_column(SmallInteger, server_default="0")
canceled: Mapped[bool] = mapped_column(Boolean, server_default="0")
print_count: Mapped[int] = mapped_column(SmallInteger, server_default="0")
total_active: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
total_passive: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
total_active_1: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
total_passive_1: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
total_active_2: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
total_passive_2: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
total_active_3: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
total_passive_3: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
total_active_4: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
total_passive_4: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
cross_ref: Mapped[int] = mapped_column(Integer, server_default="0")
data_center_id: Mapped[str] = mapped_column(String, server_default="")
data_center_rec_num: Mapped[int] = mapped_column(Integer, server_default="0")
account_header_id: Mapped[int] = mapped_column(
ForeignKey("account_books.id"), nullable=False
)
account_header_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Account Header UU ID"
)
project_item_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_projects.id")
)
project_item_uu_id: Mapped[str] = mapped_column(
String, comment="Project Item UU ID"
)
department_id: Mapped[int] = mapped_column(ForeignKey("departments.id"))
department_uu_id: Mapped[str] = mapped_column(String, comment="Department UU ID")
__table_args__ = (
Index("_account_master_ndx_00", doc_date, account_header_id),
{"comment": "Account Master Information"},
)
class AccountDetail(CrudCollection):
"""
AccountCodes class based on declarative_base and CrudCollection via session
"""
__tablename__ = "account_detail"
__exclude__fields__ = []
__enum_list__ = [("plug_type", "AccountingReceiptTypes", "M")]
doc_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Document Date"
)
line_no: Mapped[int] = mapped_column(
SmallInteger, nullable=False, comment="Line Number"
)
receive_debit: Mapped[str] = mapped_column(
String(1), nullable=False, comment="Receive Debit"
)
debit: Mapped[float] = mapped_column(
Numeric(20, 6), nullable=False, comment="Debit"
)
department: Mapped[str] = mapped_column(String(24), server_default="")
special_code: Mapped[str] = mapped_column(String(12), server_default="")
account_ref: Mapped[int] = mapped_column(Integer, server_default="0")
account_fiche_ref: Mapped[int] = mapped_column(Integer, server_default="0")
center_ref: Mapped[int] = mapped_column(Integer, server_default="0")
general_code: Mapped[str] = mapped_column(String(32), server_default="")
credit: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
currency_type: Mapped[str] = mapped_column(String(4), server_default="TL")
exchange_rate: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
debit_cur: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
credit_cur: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
discount_cur: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
amount: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
cross_account_code: Mapped[float] = mapped_column(String(32), server_default="")
inf_index: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
not_inflated: Mapped[int] = mapped_column(SmallInteger, server_default="0")
not_calculated: Mapped[int] = mapped_column(SmallInteger, server_default="0")
comment_line1: Mapped[str] = mapped_column(String(64), server_default="")
comment_line2: Mapped[str] = mapped_column(String(64), server_default="")
comment_line3: Mapped[str] = mapped_column(String(64), server_default="")
comment_line4: Mapped[str] = mapped_column(String(64), server_default="")
comment_line5: Mapped[str] = mapped_column(String(64), server_default="")
comment_line6: Mapped[str] = mapped_column(String(64), server_default="")
owner_acc_ref: Mapped[int] = mapped_column(Integer, server_default="0")
from_where: Mapped[int] = mapped_column(Integer, server_default="0")
orj_eid: Mapped[int] = mapped_column(Integer, server_default="0")
canceled: Mapped[int] = mapped_column(SmallInteger, server_default="0")
cross_ref: Mapped[int] = mapped_column(Integer, server_default="0")
data_center_id: Mapped[str] = mapped_column(String, server_default="")
data_center_rec_num: Mapped[int] = mapped_column(Integer, server_default="0")
status_id: Mapped[int] = mapped_column(SmallInteger, server_default="0")
plug_type_id: Mapped[int] = mapped_column(
ForeignKey("api_enum_dropdown.id"), nullable=True
)
plug_type_uu_id = mapped_column(String, nullable=False, comment="Plug Type UU ID")
account_header_id: Mapped[int] = mapped_column(
ForeignKey("account_books.id"), nullable=False
)
account_header_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Account Header UU ID"
)
account_code_id: Mapped[int] = mapped_column(
ForeignKey("account_codes.id"), nullable=False
)
account_code_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Account Code UU ID"
)
account_master_id: Mapped[int] = mapped_column(
ForeignKey("account_master.id"), nullable=False
)
account_master_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Account Master UU ID"
)
project_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_projects.id")
)
project_uu_id: Mapped[str] = mapped_column(String, comment="Project UU ID")
__table_args__ = (
Index(
"_account_detail_ndx_00",
account_master_id,
doc_date,
line_no,
account_header_id,
unique=True,
),
{"comment": "Account Detail Information"},
)
class AccountRecordExchanges(CrudCollection):
__tablename__ = "account_record_exchanges"
__exclude__fields__ = []
are_currency: Mapped[str] = mapped_column(
String(5), nullable=False, comment="Unit of Currency"
)
are_exchange_rate: Mapped[float] = mapped_column(
Numeric(18, 6), nullable=False, server_default="1"
)
usd_exchange_rate_value: Mapped[float] = mapped_column(
Numeric(18, 6),
nullable=True,
server_default="0",
comment="It will be written by multiplying the usd exchange rate with the current value result.",
)
eur_exchange_rate_value: Mapped[float] = mapped_column(
Numeric(18, 6),
nullable=True,
server_default="0",
comment="It will be written by multiplying the eur exchange rate with the current value result.",
)
gbp_exchange_rate_value: Mapped[float] = mapped_column(
Numeric(18, 6),
nullable=True,
server_default="0",
comment="It will be written by multiplying the gpd exchange rate with the current value result.",
)
cny_exchange_rate_value: Mapped[float] = mapped_column(
Numeric(18, 6),
nullable=True,
server_default="0",
comment="It will be written by multiplying the cny exchange rate with the current value result.",
)
account_records_id: Mapped[int] = mapped_column(ForeignKey("account_records.id"))
account_records_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Account Record UU ID"
)
__table_args__ = (
Index("_account_record_exchanges_ndx_00", account_records_id),
{"comment": "Account Record Exchanges Information"},
)
class AccountRecords(CrudCollection):
"""
build_decision_book_id = kaydın sorumlu olduğu karar defteri
send_company_id = kaydı gönderen firma, send_person_id = gönderen kişi
customer_id = sorumlu kullanıcı bilgisi, company_id = sorumlu firma
"""
__tablename__ = "account_records"
__exclude__fields__ = []
__enum_list__ = [
("receive_debit", "DebitTypes", "D"),
("budget_type", "BudgetType", "B"),
]
iban: Mapped[str] = mapped_column(
String(64), nullable=False, comment="IBAN Number of Bank"
)
bank_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Bank Transaction Date"
)
currency_value: Mapped[float] = mapped_column(
Numeric(20, 6), nullable=False, comment="Currency Value"
)
bank_balance: Mapped[float] = mapped_column(
Numeric(20, 6), nullable=False, comment="Bank Balance"
)
currency: Mapped[str] = mapped_column(
String(5), nullable=False, comment="Unit of Currency"
)
additional_balance: Mapped[float] = mapped_column(
Numeric(20, 6), nullable=False, comment="Additional Balance"
)
channel_branch: Mapped[str] = mapped_column(
String(120), nullable=False, comment="Branch Bank"
)
process_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Bank Process Type Name"
)
process_type: Mapped[str] = mapped_column(
String, nullable=False, comment="Bank Process Type"
)
process_comment: Mapped[str] = mapped_column(
String, nullable=False, comment="Transaction Record Comment"
)
process_garbage: Mapped[str] = mapped_column(
String, nullable=True, comment="Transaction Record Garbage"
)
bank_reference_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Bank Reference Code"
)
add_comment_note: Mapped[str] = mapped_column(String, server_default="")
is_receipt_mail_send: Mapped[bool] = mapped_column(Boolean, server_default="0")
found_from = mapped_column(String, server_default="")
similarity: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
remainder_balance: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
bank_date_y: Mapped[int] = mapped_column(Integer)
bank_date_m: Mapped[int] = mapped_column(SmallInteger)
bank_date_w: Mapped[int] = mapped_column(SmallInteger)
bank_date_d: Mapped[int] = mapped_column(SmallInteger)
approving_accounting_record: Mapped[bool] = mapped_column(
Boolean, server_default="0"
)
accounting_receipt_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), server_default="1900-01-01 00:00:00"
)
accounting_receipt_number: Mapped[int] = mapped_column(Integer, server_default="0")
status_id: Mapped[int] = mapped_column(SmallInteger, server_default="0")
approved_record: Mapped[bool] = mapped_column(Boolean, server_default="0")
import_file_name: Mapped[str] = mapped_column(
String, nullable=True, comment="XLS Key"
)
receive_debit: Mapped[int] = mapped_column(
ForeignKey("api_enum_dropdown.id"), nullable=True
)
receive_debit_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Debit UU ID"
)
budget_type: Mapped[int] = mapped_column(
ForeignKey("api_enum_dropdown.id"), nullable=True
)
budget_type_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Budget Type UU ID"
)
company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"), nullable=True)
company_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Company UU ID"
)
send_company_id: Mapped[int] = mapped_column(
ForeignKey("companies.id"), nullable=True
)
send_company_uu_id = mapped_column(
String, nullable=True, comment="Send Company UU ID"
)
send_person_id: Mapped[int] = mapped_column(ForeignKey("people.id"), nullable=True)
send_person_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Send Person UU ID"
)
approving_accounting_person: Mapped[int] = mapped_column(
ForeignKey("people.id"), nullable=True
)
approving_accounting_person_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Approving Accounting Person UU ID"
)
living_space_id: Mapped[int] = mapped_column(
ForeignKey("build_living_space.id"), nullable=True
)
living_space_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Living Space UU ID"
)
customer_id: Mapped[int] = mapped_column(ForeignKey("people.id"), nullable=True)
customer_uu_id = mapped_column(String, nullable=True, comment="Customer UU ID")
build_id: Mapped[int] = mapped_column(ForeignKey("build.id"), nullable=True)
build_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Build UU ID"
)
build_parts_id: Mapped[int] = mapped_column(
ForeignKey("build_parts.id"), nullable=True
)
build_parts_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Build Parts UU ID"
)
build_decision_book_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book.id"), nullable=True
)
build_decision_book_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Build Decision Book UU ID"
)
__table_args__ = (
Index("_budget_records_ndx_00", is_receipt_mail_send, bank_date),
Index(
"_budget_records_ndx_01",
iban,
bank_date,
bank_reference_code,
bank_balance,
unique=True,
),
Index("_budget_records_ndx_02", status_id, bank_date),
{
"comment": "Bank Records that are related to building and financial transactions"
},
)
# def payment_budget_record_close(self):
# from database_sql_models import (
# DecisionBookProjectPaymentsMaster,
# ApiEnumDropdown,
# BuildDecisionBook,
# BuildDecisionBookPaymentsMaster,
# )
#
# budget_record = self
# if self.receive_debit == ApiEnumDropdown.uuid_of_enum(
# enum_class="DebitTypes", key="R"
# ):
# print(
# "This record is not debit. Debit:",
# self.receive_debit,
# "DebitTypes.R.name",
# # str(DebitTypes.R.name),
# )
# return
# if abs(budget_record.currency_value + budget_record.remainder_balance) > 0:
# payment_dict = {
# "budget_records_id": self.id,
# "build_decision_book_id": budget_record.build_decision_book_id,
# "build_parts_id": budget_record.build_parts_id,
# "start_date": budget_record.bank_date,
# "paid_value": budget_record.currency_value
# - budget_record.remainder_balance,
# "is_all": False,
# }
# (paid_value, start_paid_value, balance) = (
# float(budget_record.currency_value - budget_record.remainder_balance),
# float(budget_record.currency_value - budget_record.remainder_balance),
# float(budget_record.remainder_balance),
# )
# print(
# "self.id",
# self.id,
# "paid_value",
# paid_value,
# "start_paid_value",
# start_paid_value,
# "balance",
# balance,
# self.receive_debit,
# )
#
# if not BuildDecisionBook.find_one(
# id=payment_dict["build_decision_book_id"]
# ):
# return paid_value
#
# if budget_record.replication_id == 55:
# if paid_value > 0:
# payment_dict["dues_type"] = ApiEnumDropdown.uuid_of_enum(
# enum_class="BuildDuesTypes", key="L"
# )
# paid_value = (
# DecisionBookProjectPaymentsMaster.pay_law_and_ren_of_build_part(
# **payment_dict
# )
# )
# print("dues_type", payment_dict["dues_type"], paid_value)
# if paid_value > 0:
# payment_dict.pop("dues_type", None)
# paid_value = BuildDecisionBookPaymentsMaster.pay_dues_of_build_part(
# **payment_dict
# )
# print("dues_type", None, paid_value)
# if paid_value > 0:
# payment_dict["dues_type"] = ApiEnumDropdown.uuid_of_enum(
# enum_class="BuildDuesTypes", key="R"
# )
# paid_value = (
# DecisionBookProjectPaymentsMaster.pay_law_and_ren_of_build_part(
# **payment_dict
# )
# )
# print("dues_type", payment_dict["dues_type"], paid_value)
# payment_dict["is_all"] = True
# if paid_value > 0:
# payment_dict["dues_type"] = ApiEnumDropdown.uuid_of_enum(
# enum_class="BuildDuesTypes", key="L"
# )
# paid_value = (
# DecisionBookProjectPaymentsMaster.pay_law_and_ren_of_build_part(
# **payment_dict
# )
# )
# print("is all dues_type", payment_dict["dues_type"], paid_value)
# if paid_value > 0:
# payment_dict.pop("dues_type", None)
# paid_value = BuildDecisionBookPaymentsMaster.pay_dues_of_build_part(
# **payment_dict
# )
# print("is all dues_type", None, paid_value)
# if paid_value > 0:
# payment_dict["dues_type"] = ApiEnumDropdown.uuid_of_enum(
# enum_class="BuildDuesTypes", key="R"
# )
# paid_value = (
# DecisionBookProjectPaymentsMaster.pay_law_and_ren_of_build_part(
# **payment_dict
# )
# )
# print("is all dues_type", payment_dict["dues_type"], paid_value)

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from schemas.base_imports import (
CrudCollection,
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Numeric,
SmallInteger,
mapped_column,
Mapped,
)
class BuildIbans(CrudCollection):
"""
BuildParts class based on declarative_base and BaseMixin via session
"""
__tablename__ = "build_ibans"
__exclude__fields__ = []
iban: Mapped[str] = mapped_column(
String(40), server_default="", nullable=False, comment="IBAN number"
)
start_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Bank Transaction Start Date"
)
stop_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), server_default="2900-01-01 00:00:00"
)
bank_code: Mapped[str] = mapped_column(String(24), server_default="TR0000000000000")
xcomment: Mapped[str] = mapped_column(String(64), server_default="????")
build_id: Mapped[int] = mapped_column(
ForeignKey("build.id"), nullable=True, comment="Building ID"
)
build_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Building UUID", index=True
)
__table_args__ = (
Index("_build_ibans_ndx_01", iban, start_date, unique=True),
{"comment": "IBANs related to money transactions due to building objects"},
)
class BuildIbanDescription(CrudCollection):
"""
SearchComments class based on declarative_base and CrudCollection via session
"""
__tablename__ = "build_iban_description"
__exclude__fields__ = []
iban: Mapped[str] = mapped_column(String, nullable=False, comment="IBAN Number")
group_id: Mapped[int] = mapped_column(
SmallInteger, nullable=False, comment="Group ID"
)
search_word: Mapped[str] = mapped_column(
String, nullable=False, comment="Search Word", index=True
)
customer_id: Mapped[int] = mapped_column(ForeignKey("people.id"), nullable=True)
customer_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Customer UUID"
)
company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"), nullable=True)
company_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Company UUID"
)
build_parts_id: Mapped[int] = mapped_column(
ForeignKey("build_parts.id"), nullable=True
)
build_parts_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Build Parts UUID"
)
__table_args__ = (
Index(
"_search_iban_description_ndx_00", iban, search_word, group_id, unique=True
),
{"comment": "Search Iban Description Information"},
)

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from schemas.base_imports import (
CrudCollection,
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Numeric,
SmallInteger,
mapped_column,
Mapped,
BigInteger,
Text,
)
class RelationshipEmployee2PostCode(CrudCollection):
"""
Build2EmployeeRelationship class based on declarative_base and BaseMixin via session
"""
__tablename__ = "relationship_employee2postcode"
__exclude__fields__ = []
__include__fields__ = []
company_id: Mapped[int] = mapped_column(
ForeignKey("companies.id"), nullable=True
) # 1, 2, 3
employee_id: Mapped[int] = mapped_column(ForeignKey("employees.id"), nullable=False)
member_id: Mapped[int] = mapped_column(
ForeignKey("address_postcode.id"), nullable=False
)
relationship_type: Mapped[str] = mapped_column(
String, nullable=True, server_default="Employee"
) # Commercial
show_only: Mapped[bool] = mapped_column(Boolean, server_default="0")
__table_args__ = ({"comment": "Build2Employee Relationship Information"},)
class AddressPostcode(CrudCollection):
"""
Postcode class based on declarative_base and BaseMixin via session
"""
__tablename__ = "address_postcode"
__exclude__fields__ = []
__access_by__ = []
__many__table__ = RelationshipEmployee2PostCode
street_id: Mapped[int] = mapped_column(ForeignKey("address_street.id"))
street_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="Street UUID"
)
postcode: Mapped[str] = mapped_column(
String(32), nullable=False, comment="Postcode"
)
__table_args__ = ({"comment": "Postcode Information"},)
class Addresses(CrudCollection):
"""
Address class based on declarative_base and BaseMixin via session
"""
__tablename__ = "addresses"
__exclude__fields__ = []
build_number: Mapped[str] = mapped_column(
String(24), nullable=False, comment="Build Number"
)
door_number: Mapped[str] = mapped_column(
String(24), nullable=True, comment="Door Number"
)
floor_number: Mapped[str] = mapped_column(
String(24), nullable=True, comment="Floor Number"
)
comment_address: Mapped[str] = mapped_column(
String, nullable=False, comment="Address"
)
letter_address: Mapped[str] = mapped_column(
String, nullable=False, comment="Address"
)
short_letter_address: Mapped[str] = mapped_column(
String, nullable=False, comment="Address"
)
latitude: Mapped[float] = mapped_column(Numeric(20, 12), server_default="0")
longitude: Mapped[float] = mapped_column(Numeric(20, 12), server_default="0")
street_id: Mapped[int] = mapped_column(
ForeignKey("address_street.id"), nullable=False
)
street_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="Street UUID"
)
__table_args__ = (
# Index("_address_ndx_00", country_code, b_state, city, district),
{"comment": "Address Information"},
)
@classmethod
def list_via_employee(cls, token_dict, filter_expr=None):
with cls.new_session() as db_session:
post_code_list = RelationshipEmployee2PostCode.filter_all(
RelationshipEmployee2PostCode.employee_id
== token_dict.selected_company.employee_id,
db=db_session,
).data
post_code_id_list = [post_code.member_id for post_code in post_code_list]
if not post_code_id_list:
raise ValueError(
"User has no post code registered. User can not list addresses."
)
# raise HTTPException(
# status_code=404,
# detail="User has no post code registered. User can not list addresses.",
# )
cls.pre_query = cls.filter_all(
cls.post_code_id.in_(post_code_id_list), db=db_session
).query
filter_cls = cls.filter_all(*filter_expr or [], db=db_session)
cls.pre_query = None
return filter_cls.data
# buildings: Mapped["Build"] = relationship(
# "Build", back_populates="addresses", foreign_keys="Build.address_id"
# )
# site: Mapped["BuildSites"] = relationship(
# "BuildSites", back_populates="addresses", foreign_keys="BuildSites.address_id"
# )
# official_companies: Mapped["Companies"] = relationship(
# "Company",
# back_populates="official_address",
# foreign_keys="Company.official_address_id",
# )
# @classmethod
# def create_action(cls, request, create_address: InsertAddress):
# from services.redis.auth_actions.token import parse_token_object_to_dict
#
# token_dict = parse_token_object_to_dict(request=request)
# data_dict = create_address.model_dump()
# post_code = AddressPostcode.find_one(uu_id=create_address.post_code_uu_id)
# if not post_code:
# raise HTTPException(
# status_code=404,
# detail="Post code not found.",
# )
# if Employee2AddressRelationship.post_code_id.find_one(
# employee_id=token_dict.selected_company.employee_id,
# post_code_id=post_code.id,
# ):
# data_dict["post_code_id"] = post_code.id
# del data_dict["post_code_uu_id"]
# return cls.find_or_create(**create_address.model_dump())
# raise HTTPException(
# status_code=401,
# detail=f"User is not qualified to create address at this post code {post_code.postcode}",
# )
# __table_args__ = (
# Index("_address_ndx_00", country_code, b_state, city, district),
# {"comment": "Address Information"},
# )
class AddressGeographicLocations(CrudCollection):
"""
Country class based on declarative_base and BaseMixin via session
"""
__tablename__ = "address_geographic_locations"
__exclude__fields__ = []
geo_table: Mapped[str] = mapped_column(
String, nullable=False, comment="Address Table Name"
)
geo_id: Mapped[int] = mapped_column(
Integer, nullable=False, comment="Address Table ID"
)
geo_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Geographic Location Name"
)
geo_latitude: Mapped[float] = mapped_column(
Numeric(20, 6), server_default="0", comment="Geographic Location Name"
)
geo_longitude: Mapped[float] = mapped_column(
Numeric(20, 6), server_default="0", comment="Geographic Location Latitude"
)
geo_altitude: Mapped[float] = mapped_column(
Numeric(20, 6), server_default="0", comment="Geographic Location Longitude"
)
geo_description: Mapped[str] = mapped_column(
Text, nullable=False, comment="Geographic Location Description"
)
geo_area_size: Mapped[float] = mapped_column(
Numeric(20, 2),
nullable=True,
server_default="0",
comment="Geographic Location Area Size",
)
geo_population: Mapped[int] = mapped_column(
BigInteger, nullable=True, comment="Geographic Location Population"
)
# geo_geom_point = mapped_column(Geometry('POINT', srid=4326), nullable=True, comment="Geographic Location Points")
# geo_geom_polygon = mapped_column(Geometry('POLYGON', srid=4326), nullable=True,
# comment="Geographic Location Vector geographic information (polygon)")
# geo_centroid = mapped_column( GEOMETRY(POINT, 4326), nullable=True,
# comment="Geographic Location center of gravity of the region(points)")
__table_args__ = (
Index("_address_geographic_locations_ndx_00", geo_table, geo_id),
Index("_address_geographic_locations_ndx_01", geo_latitude, geo_longitude),
{"comment": "Geographic Location Information"},
)
class AddressCountry(CrudCollection):
"""
Country class based on declarative_base and BaseMixin via session
"""
__tablename__ = "address_country"
__exclude__fields__ = []
country_code: Mapped[str] = mapped_column(
String(16), nullable=False, comment="Country Code"
)
country_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Country Name"
)
money_code: Mapped[str] = mapped_column(
String(12), nullable=True, comment="Money Code"
)
language: Mapped[str] = mapped_column(
String, nullable=True, comment="Language Code"
)
address_geographic_id: Mapped[int] = mapped_column(
BigInteger, nullable=True, comment="Address Geographic Id"
)
__table_args__ = (
Index("_address_country_ndx_00", money_code),
Index("_address_country_ndx_01", country_code, unique=True),
{"comment": "Country Information"},
)
class AddressState(CrudCollection):
"""
State class based on declarative_base and BaseMixin via session
"""
__tablename__ = "address_state"
__exclude__fields__ = []
state_code: Mapped[str] = mapped_column(
String(16), nullable=False, comment="State Code"
)
state_name: Mapped[str] = mapped_column(
String, nullable=False, comment="State Name"
)
licence_plate: Mapped[str] = mapped_column(
String(24), nullable=True, comment="Sign Code"
)
phone_code: Mapped[str] = mapped_column(
String(36), nullable=True, comment="Phone Code"
)
gov_code: Mapped[str] = mapped_column(
String(128), nullable=True, comment="Government Code"
)
address_geographic_id: Mapped[int] = mapped_column(
BigInteger, nullable=True, comment="Address Geographic Id"
)
country_id: Mapped[int] = mapped_column(ForeignKey("address_country.id"))
country_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="Country UUID"
)
__table_args__ = (
Index(
"_address_state_ndx_01",
country_id,
state_code,
unique=True,
),
{"comment": "State Information"},
)
class AddressCity(CrudCollection):
"""
City class based on declarative_base and BaseMixin via session
"""
__tablename__ = "address_city"
__exclude__fields__ = []
city_code: Mapped[str] = mapped_column(
String(24), nullable=False, comment="City Code"
)
city_name: Mapped[str] = mapped_column(String, nullable=False, comment="City Name")
licence_plate: Mapped[str] = mapped_column(
String(24), nullable=True, comment="Sign Code"
)
phone_code: Mapped[str] = mapped_column(
String(36), nullable=True, comment="Phone Code"
)
gov_code: Mapped[str] = mapped_column(
String(128), nullable=True, comment="Government Code"
)
address_geographic_id: Mapped[int] = mapped_column(
BigInteger, nullable=True, comment="Address Geographic Id"
)
state_id: Mapped[int] = mapped_column(ForeignKey("address_state.id"))
state_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="State UUID"
)
__table_args__ = (
Index(
"_address_city_ndx_01",
state_id,
city_code,
unique=True,
),
{"comment": "City Information"},
)
class AddressDistrict(CrudCollection):
"""
District class based on declarative_base and BaseMixin via session
"""
__tablename__ = "address_district"
__exclude__fields__ = []
district_code: Mapped[str] = mapped_column(
String(16), nullable=False, comment="District Code"
)
district_name: Mapped[str] = mapped_column(
String, nullable=False, comment="District Name"
)
phone_code: Mapped[str] = mapped_column(
String(36), nullable=True, comment="Phone Code"
)
gov_code: Mapped[str] = mapped_column(
String(128), nullable=True, comment="Government Code"
)
address_geographic_id: Mapped[int] = mapped_column(
BigInteger, nullable=True, comment="Address Geographic Id"
)
city_id: Mapped[int] = mapped_column(
ForeignKey("address_city.id"), nullable=False, comment="City ID"
)
city_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="City UUID"
)
__table_args__ = (
Index(
"_address_district_ndx_01",
city_id,
district_code,
unique=True,
),
{"comment": "District Information"},
)
class AddressLocality(CrudCollection):
"""
Locality class based on declarative_base and BaseMixin via session
"""
__tablename__ = "address_locality"
__exclude__fields__ = []
locality_code: Mapped[str] = mapped_column(
String(16), nullable=False, comment="Locality Code"
)
locality_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Locality Name"
)
type_code: Mapped[str] = mapped_column(String, nullable=True, comment="Type Name")
type_description: Mapped[str] = mapped_column(
String, nullable=True, comment="Type Name"
)
gov_code: Mapped[str] = mapped_column(
String(128), nullable=True, comment="Government Code"
)
address_show: Mapped[bool] = mapped_column(Boolean, server_default="1")
address_geographic_id: Mapped[int] = mapped_column(
BigInteger, nullable=True, comment="Address Geographic Id"
)
district_id: Mapped[int] = mapped_column(
ForeignKey("address_district.id"), nullable=False, comment="District ID"
)
district_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="District UUID"
)
__table_args__ = (
Index(
"_address_locality_ndx_01",
district_id,
locality_code,
unique=True,
),
{"comment": "Locality Information"},
)
class AddressNeighborhood(CrudCollection):
"""
Neighborhood class based on declarative_base and BaseMixin via session
"""
__tablename__ = "address_neighborhood"
__exclude__fields__ = []
neighborhood_code: Mapped[str] = mapped_column(
String(16), nullable=False, comment="Neighborhood Code"
)
neighborhood_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Neighborhood Name"
)
type_code: Mapped[str] = mapped_column(String, nullable=True, comment="Type Name")
type_description: Mapped[str] = mapped_column(
String, nullable=True, comment="Type Name"
)
gov_code: Mapped[str] = mapped_column(
String(128), nullable=True, comment="Government Code"
)
address_show: Mapped[bool] = mapped_column(Boolean, server_default="1")
address_geographic_id: Mapped[int] = mapped_column(
BigInteger, nullable=True, comment="Address Geographic Id"
)
district_id: Mapped[int] = mapped_column(
ForeignKey("address_district.id"), nullable=True, comment="District ID"
)
district_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="District UUID"
)
locality_id: Mapped[int] = mapped_column(
ForeignKey("address_locality.id"), nullable=True, comment="Locality ID"
)
locality_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="Locality UUID"
)
__table_args__ = (
Index(
"_address_neighborhood_ndx_01",
locality_id,
neighborhood_code,
unique=True,
),
{"comment": "Neighborhood Information"},
)
class AddressStreet(CrudCollection):
"""
Street class based on declarative_base and BaseMixin via session
"""
__tablename__ = "address_street"
__exclude__fields__ = []
street_code: Mapped[str] = mapped_column(
String(16), nullable=False, comment="Street Code"
)
street_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Street Name"
)
type_code: Mapped[str] = mapped_column(String, nullable=True, comment="Type Name")
type_description: Mapped[str] = mapped_column(
String, nullable=True, comment="Type Name"
)
gov_code: Mapped[str] = mapped_column(
String(128), nullable=True, comment="Government Code"
)
address_geographic_id: Mapped[int] = mapped_column(
BigInteger, nullable=True, comment="Address Geographic Id"
)
neighborhood_id: Mapped[int] = mapped_column(
ForeignKey("address_neighborhood.id"), nullable=False, comment="Neighborhood ID"
)
neighborhood_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="Neighborhood UUID"
)
__table_args__ = (
Index("_address_street_ndx_01", neighborhood_id, street_code, unique=True),
{"comment": "Street Information"},
)
@classmethod
def search_address_text(cls, search_text, token_dict=None):
field_dict = {
"AddressStreet.uu_id": cls.uu_id,
"AddressCountry.uu_id": AddressCountry.uu_id,
"AddressState.uu_id": AddressState.uu_id,
"AddressCity.uu_id": AddressCity.uu_id,
"AddressDistrict.uu_id": AddressDistrict.uu_id,
"AddressLocality.uu_id": AddressLocality.uu_id,
"AddressNeighborhood.uu_id": AddressNeighborhood.uu_id,
"AddressCountry.country_name": AddressCountry.country_name,
"AddressState.state_name": AddressState.state_name,
"AddressCity.city_name": AddressCity.city_name,
"AddressDistrict.district_name": AddressDistrict.district_name,
"AddressLocality.locality_name": AddressLocality.locality_name,
"AddressNeighborhood.neighborhood_name": AddressNeighborhood.neighborhood_name,
"AddressStreet.street_name": cls.street_name,
}
joined_data = (
cls.session.query(*list(field_dict.values()))
.select_from(cls)
.join(AddressNeighborhood, AddressNeighborhood.id == cls.neighborhood_id)
.join(
AddressLocality, AddressLocality.id == AddressNeighborhood.locality_id
)
.join(AddressDistrict, AddressDistrict.id == AddressLocality.district_id)
.join(AddressCity, AddressCity.id == AddressDistrict.city_id)
.join(AddressState, AddressState.id == AddressCity.state_id)
.join(AddressCountry, AddressCountry.id == AddressState.country_id)
.filter(
or_(
AddressNeighborhood.neighborhood_name.ilike(
f"%{str(search_text).upper()}%"
),
AddressLocality.locality_name.ilike(
f"%{str(search_text).upper()}%"
),
AddressDistrict.district_name.ilike(
f"%{str(search_text).upper()}%"
),
# AddressCity.city_name.ilike(f"%{str(search_text).upper()}%"),
# AddressState.state_name.ilike(f"%{str(search_text).upper()}%"),
# AddressCountry.country_name.ilike(f"%{str(search_text).upper()}%"),
cls.street_name.ilike(f"%{str(search_text).upper()}%"),
),
)
)
# select([mytable.c.id]).where(
# func.to_tsvector('english', mytable.c.title) \
# .match('somestring', postgresql_regconfig='english')
# )
joined_statement = joined_data
joined_data = joined_data.first()
if not joined_data:
raise ValueError(
"No address found with the given search text.",
)
# raise HTTPException(
# status_code=404,
# detail="No address found with the given search text.",
# )
return dict(
query=joined_statement,
schema=list(field_dict.keys()),
)

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from api_controllers.postgres.mixin import CrudCollection
from sqlalchemy.orm import mapped_column, Mapped, relationship
from sqlalchemy import (
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Numeric,
SmallInteger,
text,
or_,
and_,
func,
UUID,
JSON,
BigInteger,
Float,
Text,
LargeBinary,
PickleType,
DATETIME,
)

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from schemas.base_imports import (
CrudCollection,
String,
ForeignKey,
Index,
SmallInteger,
TIMESTAMP,
Text,
Numeric,
Integer,
mapped_column,
Mapped,
relationship,
func,
)
class DecisionBookBudgetBooks(CrudCollection):
__tablename__ = "decision_book_budget_books"
__exclude__fields__ = []
country: Mapped[str] = mapped_column(String, nullable=False)
branch_type: Mapped[int] = mapped_column(SmallInteger, server_default="0")
company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"), nullable=False)
company_uu_id: Mapped[str] = mapped_column(String, nullable=False)
branch_id: Mapped[int] = mapped_column(ForeignKey("companies.id"), nullable=True)
branch_uu_id: Mapped[str] = mapped_column(
String, comment="Branch UU ID", nullable=True
)
build_decision_book_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book.id"), nullable=False
)
build_decision_book_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Build Decision Book UU ID"
)
__table_args__ = (
Index(
"_decision_book_budget_companies_book_ndx_00",
company_id,
"created_at",
),
{"comment": "budget Book Information"},
)
class DecisionBookBudgetCodes(CrudCollection):
__tablename__ = "decision_book_budget_codes"
__exclude__fields__ = []
budget_code: Mapped[str] = mapped_column(
String(48), nullable=False, comment="budget Code"
)
comment_line: Mapped[str] = mapped_column(
Text, nullable=False, comment="Comment Line"
)
build_decision_book_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book.id"), nullable=True
)
build_decision_book_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Build Decision Book UU ID"
)
build_parts_id: Mapped[int] = mapped_column(
ForeignKey("build_parts.id"), nullable=True
)
build_parts_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Build Parts UU ID"
)
company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"), nullable=True)
company_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Company UU ID"
)
__table_args__ = (
Index("_decision_book_budget_codes_ndx_00", budget_code, "created_at"),
Index("_decision_book_budget_codes_ndx_01", company_id, "created_at"),
{"comment": "budget Book Information"},
)
class DecisionBookBudgetMaster(CrudCollection):
__tablename__ = "decision_book_budget_master"
__exclude__fields__ = []
budget_type: Mapped[str] = mapped_column(
String(50), nullable=False
) # Bütçe tipi (örneğin: Operasyonel, Yatırım)
currency: Mapped[str] = mapped_column(
String(8), server_default="TRY"
) # Bütçe para birimi
total_budget: Mapped[float] = mapped_column(
Numeric(10, 2), nullable=False
) # Toplam bütçe
tracking_period_id: Mapped[int] = mapped_column(
ForeignKey("api_enum_dropdown.id"), nullable=True
)
tracking_period_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Part Direction UUID"
)
budget_books_id: Mapped[int] = mapped_column(
Integer, ForeignKey("decision_book_budget_books.id"), nullable=False
)
budget_books_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Budget Books UU ID"
)
department_id: Mapped[int] = mapped_column(
Integer, ForeignKey("departments.id"), nullable=False
) # Departman ile ilişki
department_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Department UU ID"
)
__table_args__ = ({"comment": "budget Book Information"},)
class DecisionBookBudgets(CrudCollection):
__tablename__ = "decision_book_budgets"
__exclude__fields__ = []
process_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False
) # Başlangıç tarihi
budget_codes_id: Mapped[int] = mapped_column(
Integer, ForeignKey("decision_book_budget_codes.id"), nullable=False
)
total_budget: Mapped[float] = mapped_column(
Numeric(10, 2), nullable=False
) # Toplam bütçe
used_budget: Mapped[float] = mapped_column(
Numeric(10, 2), nullable=False, default=0.0
) # Kullanılan bütçe
remaining_budget: Mapped[float] = mapped_column(
Numeric(10, 2), nullable=False, default=0.0
) # Kullanılan bütçe
decision_book_budget_master_id: Mapped[int] = mapped_column(
Integer, ForeignKey("decision_book_budget_master.id"), nullable=False
)
decision_book_budget_master_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book Budget Master UU ID"
)
__table_args__ = (
Index(
"_decision_book_budgets_ndx_00",
decision_book_budget_master_uu_id,
process_date,
),
{"comment": "budget Book Information"},
)

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import arrow
from datetime import timedelta
from typing import List, Union, Any
from schemas.base_imports import (
CrudCollection,
mapped_column,
Mapped,
relationship,
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Text,
Numeric,
or_,
and_,
)
class BuildTypes(CrudCollection):
"""
BuildTypes class based on declarative_base and BaseMixin via session
"""
__tablename__ = "build_types"
__exclude__fields__ = []
__include__fields__ = []
function_code: Mapped[str] = mapped_column(
String(12), server_default="", nullable=False, comment="Function Code"
)
type_code: Mapped[str] = mapped_column(
String(12), server_default="", nullable=False, comment="Structure Type Code"
)
lang: Mapped[str] = mapped_column(
String(4), server_default="TR", nullable=False, comment="Language"
)
type_name: Mapped[str] = mapped_column(
String(48), server_default="", nullable=False, comment="Type Name"
)
__table_args__ = (
Index("_build_types_ndx_00", type_code, function_code, lang, unique=True),
{"comment": "Function group of building types with their language information"},
)
class Part2Employee(CrudCollection):
"""
Employee2Parts class based on declarative_base and BaseMixin via session
In between start and end date, a part can be assigned to only one employee
"""
__tablename__ = "part2employee"
__exclude__fields__ = []
__include__fields__ = []
build_id: Mapped[int] = mapped_column(Integer, comment="Building ID")
part_id: Mapped[int] = mapped_column(
ForeignKey("build_parts.id"), nullable=False, comment="Part ID"
)
employee_id: Mapped[int] = mapped_column(
ForeignKey("employees.id"), nullable=False, comment="Employee ID"
)
__table_args__ = (
Index("_part2employee_ndx_00", employee_id, part_id, unique=True),
{"comment": "Employee2Parts Information"},
)
class RelationshipEmployee2Build(CrudCollection):
"""
CompanyRelationship class based on declarative_base and CrudCollection via session
Company -> Sub Company -> Sub-Sub Company
"""
__tablename__ = "relationship_employee2build"
__exclude__fields__ = []
company_id: Mapped[int] = mapped_column(
ForeignKey("companies.id"), nullable=False
) # 1, 2, 3
employee_id: Mapped[int] = mapped_column(
ForeignKey("employees.id"), nullable=False
) # employee -> (n)person Evyos LTD
member_id: Mapped[int] = mapped_column(
ForeignKey("build.id"), nullable=False
) # 2, 3, 4
relationship_type: Mapped[str] = mapped_column(
String, nullable=True, server_default="Employee"
) # Commercial
show_only: Mapped[bool] = mapped_column(Boolean, server_default="False")
__table_args__ = (
Index(
"relationship_build_employee_ndx_00",
company_id,
employee_id,
member_id,
relationship_type,
unique=True,
),
{"comment": "Build & Employee Relationship Information"},
)
class Build(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
"""
__tablename__ = "build"
__exclude__fields__ = []
__include__fields__ = []
__access_by__ = []
# __many__table__ = RelationshipEmployee2Build
gov_address_code: Mapped[str] = mapped_column(String, server_default="", unique=True)
build_name: Mapped[str] = mapped_column(String, nullable=False, comment="Building Name")
build_no: Mapped[str] = mapped_column(String(8), nullable=False, comment="Building Number")
max_floor: Mapped[int] = mapped_column(Integer, server_default="1", nullable=False, comment="Max Floor")
underground_floor: Mapped[int] = mapped_column(Integer, server_default="0", nullable=False, comment="Underground Floor")
build_date: Mapped[TIMESTAMP] = mapped_column(TIMESTAMP(timezone=True), server_default="1900-01-01")
decision_period_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True),
server_default="1900-01-01",
comment="Building annual ordinary meeting period",
)
tax_no: Mapped[str] = mapped_column(String(24), server_default="")
lift_count: Mapped[int] = mapped_column(Integer, server_default="0")
heating_system: Mapped[bool] = mapped_column(Boolean, server_default="True")
cooling_system: Mapped[bool] = mapped_column(Boolean, server_default="False")
hot_water_system: Mapped[bool] = mapped_column(Boolean, server_default="False")
block_service_man_count: Mapped[int] = mapped_column(Integer, server_default="0")
security_service_man_count: Mapped[int] = mapped_column(Integer, server_default="0")
garage_count: Mapped[int] = mapped_column(Integer, server_default="0", comment="Garage Count")
management_room_id: Mapped[int] = mapped_column(Integer, nullable=True, comment="Management Room ID")
site_id: Mapped[int] = mapped_column(ForeignKey("build_sites.id"), nullable=True)
site_uu_id: Mapped[str] = mapped_column(String, comment="Site UUID", nullable=True)
address_id: Mapped[int] = mapped_column(ForeignKey("addresses.id"), nullable=False)
address_uu_id: Mapped[str] = mapped_column(String, comment="Address UUID", nullable=False)
build_types_id: Mapped[int] = mapped_column(ForeignKey("build_types.id"), nullable=False, comment="Building Type")
build_types_uu_id: Mapped[str] = mapped_column(String, comment="Building Type UUID")
parts: Mapped[List["BuildParts"]] = relationship("BuildParts", back_populates="buildings", foreign_keys="BuildParts.build_id")
decision_books: Mapped[List["BuildDecisionBook"]] = relationship(
"BuildDecisionBook",
back_populates="buildings",
foreign_keys="BuildDecisionBook.build_id",
)
# build_ibans: Mapped["BuildIbans"] = relationship(
# "BuildIbans", back_populates="building", foreign_keys="BuildIbans.build_id"
# )
# areas: Mapped["BuildArea"] = relationship(
# "BuildArea", back_populates="buildings", foreign_keys="BuildArea.build_id"
# )
# response_companies: Mapped["Companies"] = relationship(
# "Companies",
# back_populates="response_buildings",
# foreign_keys=[response_company_id],
# )
# addresses: Mapped[List["Address"]] = relationship(
# "Address", back_populates="buildings", foreign_keys=[address_id]
# )
# peoples: Mapped["People"] = relationship(
# "People", back_populates="buildings", foreign_keys=[people_id]
# )
# sites: Mapped["BuildSites"] = relationship(
# "BuildSites", back_populates="buildings", foreign_keys=[site_id]
# )
__table_args__ = (
Index("_builds_ndx_00", gov_address_code),
Index("_builds_ndx_01", build_name, build_no),
{
"comment": "Build objects are building that are created for living and store purposes"
},
)
@property
def management_room(self):
with self.new_session() as db_session:
if management_room := BuildParts.filter_by_one(
system=True, id=self.management_room_id, build_id=self.id, db=db_session
).data:
return management_room
return None
@property
def top_flat(self):
max_flat_no = 0
for part in self.parts:
if part.part_no > self.max_floor:
max_flat_no = part.part_no
return max_flat_no
@property
def bottom_flat(self):
min_flat_no = 0
for part in self.parts:
if part.part_no < self.max_floor:
min_flat_no = part.part_no
return min_flat_no
@property
def human_livable_parts(self) -> tuple:
parts = list(part for part in self.parts if part.human_livable)
return parts, len(parts)
@property
def livable_part_count(self):
with self.new_session() as db_session:
livable_parts = BuildParts.filter_all(
BuildParts.build_id == self.id,
BuildParts.human_livable == True,
db=db_session,
)
if not livable_parts.data:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="There is no livable part in this building.",
)
return livable_parts.count
@property
def part_type_count(self):
with self.new_session() as db_session:
building_types = None
for part in self.parts:
building_types = {}
build_type = BuildTypes.filter_by_one(
system=True, id=part.build_part_type_id, db=db_session
).data
if build_type.type_code in building_types:
building_types[build_type.type_code]["list"].append(part.part_no)
else:
building_types[build_type.type_code] = {"list": [part.part_no]}
# for key, val in building_types.items():
# list_parts = val["list"]
# building_types[key] = {
# "list": list_parts,
# "min": min(list_parts),
# "max": max(list_parts),
# "count": len(list_parts),
# }
return building_types
class BuildParts(CrudCollection):
"""
BuildParts class based on declarative_base and BaseMixin via session
Attentions: Part_no is unique for each building and Every building must have a management section.!!! default no 0
"""
__tablename__ = "build_parts"
__exclude__fields__ = []
__include__fields__ = []
__enum_list__ = [("part_direction", "Directions", "NN")]
# https://adres.nvi.gov.tr/VatandasIslemleri/AdresSorgu
address_gov_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Goverment Door Code"
)
# part_name: Mapped[str] = mapped_column(String(24), server_default="", nullable=False, comment="Part Name")
part_no: Mapped[int] = mapped_column(
Integer, server_default="0", nullable=False, comment="Part Number"
)
part_level: Mapped[int] = mapped_column(
Integer, server_default="0", comment="Building Part Level"
)
part_code: Mapped[str] = mapped_column(
String, server_default="", nullable=False, comment="Part Code"
)
part_gross_size: Mapped[int] = mapped_column(
Integer, server_default="0", comment="Part Gross Size"
)
part_net_size: Mapped[int] = mapped_column(
Integer, server_default="0", comment="Part Net Size"
)
default_accessory: Mapped[str] = mapped_column(
Text, server_default="0", comment="Default Accessory"
)
human_livable: Mapped[bool] = mapped_column(
Boolean, server_default="1", comment="Human Livable"
)
due_part_key: Mapped[str] = mapped_column(
String, server_default="", nullable=False, comment="Constant Payment Group"
)
build_id: Mapped[int] = mapped_column(
ForeignKey("build.id"), nullable=False, comment="Building ID"
)
build_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Building UUID"
)
part_direction_id: Mapped[int] = mapped_column(
ForeignKey("api_enum_dropdown.id"), nullable=True
)
part_direction_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Part Direction UUID"
)
part_type_id: Mapped[int] = mapped_column(
ForeignKey("build_types.id"), nullable=False, comment="Building Part Type"
)
part_type_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Building Part Type UUID"
)
buildings: Mapped["Build"] = relationship(
"Build", back_populates="parts", foreign_keys=[build_id]
)
__table_args__ = (
Index("build_parts_ndx_1", build_id, part_no, unique=True),
{"comment": "Part objects that are belong to building objects"},
)
def part_name(self, db):
if build_type := BuildTypes.filter_by_one(
system=True, id=self.part_type_id, db=db
).data:
return f"{str(build_type.type_name).upper()} : {str(self.part_no).upper()}"
return f"Undefined:{str(build_type.type_name).upper()}"
class BuildLivingSpace(CrudCollection):
"""
LivingSpace class based on declarative_base and BaseMixin via session
Owner or live person = Occupant of the build part
+ Query OR(owner_person_id == person_id, life_person_id == person_id) AND (now(date))
"""
__tablename__ = "build_living_space"
__exclude__fields__ = []
__include__fields__ = []
fix_value: Mapped[float] = mapped_column(
Numeric(20, 6),
server_default="0",
comment="Fixed value is deducted from debit.",
)
fix_percent: Mapped[float] = mapped_column(
Numeric(6, 2),
server_default="0",
comment="Fixed percent is deducted from debit.",
)
agreement_no: Mapped[str] = mapped_column(
String, server_default="", comment="Agreement No"
)
marketing_process: Mapped[bool] = mapped_column(Boolean, server_default="False")
marketing_layer: Mapped[int] = mapped_column(Integer, server_default="0")
build_parts_id: Mapped[int] = mapped_column(
ForeignKey("build_parts.id"),
nullable=False,
index=True,
comment="Build Part ID",
)
build_parts_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Build Part UUID"
)
person_id: Mapped[int] = mapped_column(
ForeignKey("people.id"),
nullable=False,
index=True,
comment="Responsible People ID",
)
person_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Responsible People UUID"
)
occupant_type_id: Mapped[int] = mapped_column(
ForeignKey("occupant_types.id"),
nullable=False,
comment="Occupant Type",
)
occupant_type_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Occupant Type UUID"
)
__table_args__ = (
{"comment": "Living Space inside building parts that are related to people"},
)
@classmethod
def find_living_from_customer_id(
cls, customer_id, process_date, add_days: int = 32
):
with cls.new_session() as db_session:
formatted_date = arrow.get(str(process_date))
living_spaces = cls.filter_all(
or_(
cls.owner_person_id == customer_id,
cls.life_person_id == customer_id,
),
cls.start_date < formatted_date - timedelta(days=add_days),
cls.stop_date > formatted_date + timedelta(days=add_days),
db=db_session,
)
return living_spaces.data, living_spaces.count
class BuildManagement(CrudCollection):
__tablename__ = "build_management"
__exclude__fields__ = []
discounted_percentage: Mapped[float] = mapped_column(
Numeric(6, 2), server_default="0.00"
) # %22
discounted_price: Mapped[float] = mapped_column(
Numeric(20, 2), server_default="0.00"
) # Normal: 78.00 TL
calculated_price: Mapped[float] = mapped_column(
Numeric(20, 2), server_default="0.00"
) # sana düz 75.00 TL yapar
occupant_type: Mapped[int] = mapped_column(
ForeignKey("occupant_types.id"),
nullable=False,
comment="Occupant Type",
)
occupant_type_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Occupant Type UUID"
)
build_id: Mapped[int] = mapped_column(
ForeignKey("build.id"), nullable=False, comment="Building ID"
)
build_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Building UUID"
)
build_parts_id: Mapped[int] = mapped_column(
ForeignKey("build_parts.id"),
nullable=False,
index=True,
comment="Build Part ID",
)
build_parts_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Build Part UUID"
)
__table_args__ = (
Index(
"build_management_ndx_00",
build_parts_id,
occupant_type,
"expiry_starts",
unique=True,
),
{"comment": "Management of the building parts that are related to people"},
)
class BuildArea(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
"""
__tablename__ = "build_area"
__exclude__fields__ = []
area_name: Mapped[str] = mapped_column(String, server_default="")
area_code: Mapped[str] = mapped_column(String, server_default="")
area_type: Mapped[str] = mapped_column(String, server_default="GREEN")
area_direction: Mapped[str] = mapped_column(String(2), server_default="NN")
area_gross_size: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
area_net_size: Mapped[float] = mapped_column(Numeric(20, 6), server_default="0")
width = mapped_column(Integer, server_default="0")
size = mapped_column(Integer, server_default="0")
build_id: Mapped[int] = mapped_column(ForeignKey("build.id"))
build_uu_id: Mapped[str] = mapped_column(String, comment="Building UUID")
part_type_id: Mapped[int] = mapped_column(
ForeignKey("build_types.id"), nullable=True, comment="Building Part Type"
)
part_type_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Building Part Type UUID"
)
# buildings: Mapped["Build"] = relationship(
# "Build", back_populates="areas", foreign_keys=[build_id]
# )
_table_args_ = (
Index("_edm_build_parts_area_ndx_00", build_id, area_code, unique=True),
)
class BuildSites(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
"""
__tablename__ = "build_sites"
__exclude__fields__ = []
__include__fields__ = []
site_name: Mapped[str] = mapped_column(String(24), nullable=False)
site_no: Mapped[str] = mapped_column(String(8), nullable=False)
address_id: Mapped[int] = mapped_column(ForeignKey("addresses.id"))
address_uu_id: Mapped[str] = mapped_column(String, comment="Address UUID")
# addresses: Mapped["Address"] = relationship(
# "Address", back_populates="site", foreign_keys=[address_id]
# )
# buildings: Mapped["Build"] = relationship(
# "Build", back_populates="sites", foreign_keys="Build.site_id"
# )
__table_args__ = (
Index("_sites_ndx_01", site_no, site_name),
{"comment": "Sites that groups building objets"},
)
class BuildCompaniesProviding(CrudCollection):
""" """
__tablename__ = "build_companies_providing"
__exclude__fields__ = []
__include__fields__ = []
build_id = mapped_column(
ForeignKey("build.id"), nullable=False, comment="Building ID"
)
build_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Providing UUID"
)
company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"))
company_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Providing UUID"
)
provide_id: Mapped[int] = mapped_column(
ForeignKey("api_enum_dropdown.id"), nullable=True
)
provide_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Providing UUID"
)
contract_id: Mapped[int] = mapped_column(
Integer, ForeignKey("companies.id"), nullable=True
)
__table_args__ = (
Index(
"_build_companies_providing_ndx_00",
build_id,
company_id,
provide_id,
unique=True,
),
{"comment": "Companies providing services for building"},
)
class BuildPersonProviding(CrudCollection):
""" """
__tablename__ = "build_person_providing"
__exclude__fields__ = []
__include__fields__ = []
build_id = mapped_column(
ForeignKey("build.id"), nullable=False, comment="Building ID"
)
build_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Providing UUID"
)
people_id: Mapped[int] = mapped_column(ForeignKey("people.id"))
people_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="People UUID"
)
provide_id: Mapped[int] = mapped_column(
ForeignKey("api_enum_dropdown.id"), nullable=True
)
provide_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Providing UUID"
)
contract_id: Mapped[int] = mapped_column(
Integer, ForeignKey("companies.id"), nullable=True
)
__table_args__ = (
Index(
"_build_person_providing_ndx_00",
build_id,
people_id,
provide_id,
unique=True,
),
{"comment": "People providing services for building"},
)

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import math
import arrow
from datetime import datetime, timedelta
from decimal import Decimal
from typing import List, Any
from fastapi import HTTPException, status
from schemas.base_imports import (
CrudCollection,
String,
ForeignKey,
Index,
SmallInteger,
Boolean,
TIMESTAMP,
Text,
Numeric,
Integer,
mapped_column,
Mapped,
relationship,
)
class BuildDecisionBook(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
The start dates of the decision log periods are determined from the 'decision_period_date' field in the decision log table within the building information.
decision_period_date = Her yıl yapılan karar toplantısı + 365 gün her yıl tekrar eden
decision_book_pdf_path: Karar defteri pdf dosyasının yolu
resp_company_fix_wage: Karar defterinin oluşmasını sağlayan dışardaki danışmanlık ücreti
is_out_sourced: Karar defterinin dışardan alınan hizmetle oluşturulup oluşturulmadığı
contact_agreement_path: Karar defterinin oluşmasını sağlayan dışardaki danışmanlık anlaşması dosyasının yolu
contact_agreement_date: Karar defterinin oluşmasını sağlayan dışardaki danışmanlık anlaşma tarihi
meeting_date: Karar defterinin oluşmasını sağlayan toplantı tarihi
decision_type: Karar defterinin tipi (Bina Yönetim Toplantısı (BYT), Yıllık Acil Toplantı (YAT)
"""
__tablename__ = "build_decision_book"
__exclude__fields__ = []
decision_book_pdf_path: Mapped[str] = mapped_column(
String, server_default="", nullable=True
)
resp_company_fix_wage: Mapped[float] = mapped_column(
Numeric(10, 2), server_default="0"
) #
is_out_sourced: Mapped[bool] = mapped_column(Boolean, server_default="0")
meeting_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), server_default="1900-01-01"
)
decision_type: Mapped[str] = mapped_column(String(3), server_default="RBM")
meeting_is_completed: Mapped[bool] = mapped_column(Boolean, server_default="0")
meeting_completed_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=True, comment="Meeting Completed Date"
)
build_id: Mapped[int] = mapped_column(ForeignKey("build.id"), nullable=False)
build_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Build UUID"
)
resp_company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"))
resp_company_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Company UUID"
)
contact_id: Mapped[int] = mapped_column(
ForeignKey("contracts.id"), nullable=True, comment="Contract id"
)
contact_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Contract UUID"
)
buildings: Mapped["Build"] = relationship(
"Build",
back_populates="decision_books",
foreign_keys=build_id,
)
decision_book_items: Mapped[List["BuildDecisionBookItems"]] = relationship(
"BuildDecisionBookItems",
back_populates="decision_books",
foreign_keys="BuildDecisionBookItems.build_decision_book_id",
)
__table_args__ = (
Index("build_decision_book_ndx_011", meeting_date, build_id),
Index("build_decision_book_ndx_011", build_id, "expiry_starts", "expiry_ends"),
{
"comment": "Decision Book objects that are related to decision taken at building meetings"
},
)
@classmethod
def retrieve_active_rbm(cls):
from Schemas.building.build import Build
with cls.new_session() as db_session:
related_build = Build.find_one(id=cls.build_id)
related_date = arrow.get(related_build.build_date)
date_processed = related_date.replace(
year=arrow.now().date().year, month=related_date.month, day=1
)
if arrow.now().date() <= date_processed:
book = cls.filter_one(
cls.expiry_ends <= date_processed,
cls.decision_type == "RBM",
cls.build_id == related_build.id,
db=db_session,
).data
if not book:
cls.raise_http_exception(
status_code="HTTP_404_NOT_FOUND",
error_case="NOTFOUND",
message=f"Decision Book is not found for {related_build.build_name}-RBM",
data=dict(
build_id=str(related_build.uu_id),
build_name=related_build.build_name,
decision_type="RBM",
),
)
return book
return
@property
def semester(self):
start_format = "".join(
[str(self.expiry_starts.year), "-", str(self.expiry_starts.month)]
)
end_format = "".join(
[str(self.expiry_ends.year), "-", str(self.expiry_ends.month)]
)
return "".join([start_format, " ", end_format])
def check_book_is_valid(self, bank_date: str):
if all(
[True if letter in str(bank_date) else False for letter in ["-", " ", ":"]]
):
bank_date = datetime.strptime(str(bank_date), "%Y-%m-%d %H:%M:%S")
date_valid = (
arrow.get(self.expiry_starts)
< arrow.get(bank_date)
< arrow.get(self.expiry_ends)
)
return date_valid and self.active and not self.deleted
# @classmethod
# def retrieve_valid_book(cls, bank_date, iban):
# from Schemas import (
# BuildIbans,
# )
# with cls.new_session() as db_session:
# if all(
# [True if letter in str(bank_date) else False for letter in ["-", " ", ":"]]
# ):
# bank_date = datetime.strptime(str(bank_date), "%Y-%m-%d %H:%M:%S")
# build_iban = BuildIbans.find_one(iban=iban)
# decision_book: cls = cls.filter_one(
# cls.build_id == build_iban.build_id,
# cls.expiry_starts < bank_date,
# cls.expiry_ends > bank_date,
# cls.active == True,
# cls.deleted == False,
# db=db_session
# ).data
# decision_book.check_book_is_valid(bank_date.__str__())
# return decision_book
# return
class BuildDecisionBookInvitations(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
"""
__tablename__ = "build_decision_book_invitations"
__exclude__fields__ = []
build_id: Mapped[int] = mapped_column(Integer, nullable=False)
build_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Build UUID"
)
decision_book_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book.id"), nullable=False
)
decision_book_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book UUID"
)
invitation_type: Mapped[str] = mapped_column(
String, nullable=False, comment="Invite Type"
)
invitation_attempt: Mapped[int] = mapped_column(SmallInteger, server_default="1")
living_part_count: Mapped[int] = mapped_column(SmallInteger, server_default="1")
living_part_percentage: Mapped[float] = mapped_column(
Numeric(10, 2), server_default="0.51"
)
message: Mapped[str] = mapped_column(
Text, nullable=True, comment="Invitation Message"
)
planned_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Planned Meeting Date"
)
planned_date_expires: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Planned Meeting Date Expires"
)
__table_args__ = (
Index(
"_build_decision_book_invitations_ndx_01",
invitation_type,
planned_date,
invitation_attempt,
unique=True,
),
{"comment": "People that are invited to building meetings."},
)
@classmethod
def check_invites_are_ready_for_meeting(cls, selected_decision_book, token_dict):
with cls.new_session() as db_session:
first_book_invitation = BuildDecisionBookInvitations.filter_one(
BuildDecisionBookInvitations.build_id
== token_dict.selected_occupant.build_id,
BuildDecisionBookInvitations.decision_book_id
== selected_decision_book.id,
BuildDecisionBookInvitations.invitation_attempt == 1,
db=db_session,
).data
if not first_book_invitation:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"First Meeting Invitation is not found for Decision Book UUID : {selected_decision_book.uu_id}",
)
need_attend_count = int(first_book_invitation.living_part_count) * Decimal(
first_book_invitation.living_part_percentage
)
valid_invite_count = (
BuildDecisionBookPerson.filter_all_system(
BuildDecisionBookPerson.invite_id == first_book_invitation.id,
BuildDecisionBookPerson.build_decision_book_id
== selected_decision_book.id,
BuildDecisionBookPerson.is_attending == True,
db=db_session,
)
.query.distinct(BuildDecisionBookPerson.person_id)
.count()
)
second_book_invitation = BuildDecisionBookInvitations.filter_one_system(
BuildDecisionBookInvitations.build_id
== token_dict.selected_occupant.build_id,
BuildDecisionBookInvitations.decision_book_id
== selected_decision_book.id,
BuildDecisionBookInvitations.invitation_attempt == 2,
db=db_session,
).data
if (
not valid_invite_count >= need_attend_count
and not second_book_invitation
):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"In order meeting to be held, {math.ceil(need_attend_count)} people must attend "
f"to the meeting. Only {valid_invite_count} people are attending to the meeting.",
)
return first_book_invitation or second_book_invitation
class BuildDecisionBookPerson(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
Karar Defteri toplantılarına katılan kişiler veya yetkililer
dues_percent_discount: Katılımcının aidat indirim oranı Aidatdan yüzde indirim alır
dues_fix_discount: Katılımcının aidat sabit miktarı Aidatdan sabit bir miktar indirim alır
dues_discount_approval_date: Bu kişinin indiriminin onayladığı tarih
management_typecode: Kişinin toplantı görevi
"""
__tablename__ = "build_decision_book_person"
__exclude__fields__ = []
__enum_list__ = [("management_typecode", "BuildManagementType", "bm")]
dues_percent_discount: Mapped[int] = mapped_column(SmallInteger, server_default="0")
dues_fix_discount: Mapped[float] = mapped_column(Numeric(10, 2), server_default="0")
dues_discount_approval_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), server_default="1900-01-01 00:00:00"
)
send_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Confirmation Date"
)
is_attending: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Occupant is Attending to invitation"
)
confirmed_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=True, comment="Confirmation Date"
)
token: Mapped[str] = mapped_column(
String, server_default="", comment="Invitation Token"
)
vicarious_person_id: Mapped[int] = mapped_column(
ForeignKey("people.id"), nullable=True, comment="Vicarious Person ID"
)
vicarious_person_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Vicarious Person UUID"
)
invite_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_invitations.id"), nullable=False
)
invite_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Invite UUID"
)
build_decision_book_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book.id"), nullable=False
)
build_decision_book_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Decision Book UUID"
)
build_living_space_id: Mapped[int] = mapped_column(
ForeignKey("build_living_space.id"), nullable=False
)
build_living_space_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Living Space UUID"
)
person_id: Mapped[int] = mapped_column(ForeignKey("people.id"), nullable=False)
# person_uu_id: Mapped[str] = mapped_column(String, nullable=False, comment="Person UUID")
__table_args__ = (
Index(
"_build_decision_book_person_ndx_01",
build_decision_book_id,
invite_id,
build_living_space_id,
unique=True,
),
{"comment": "People that are attended to building meetings."},
)
def retrieve_all_occupant_types(self):
with self.new_session() as db_session:
all_decision_book_people = self.filter_all_system(
BuildDecisionBookPersonOccupants.invite_id == self.invite_id,
db=db_session,
)
BuildDecisionBookPersonOccupants.pre_query = all_decision_book_people.query
return BuildDecisionBookPersonOccupants.filter_all_system(
db=db_session
).data
def get_occupant_types(self):
with self.new_session() as db_session:
if occupants := BuildDecisionBookPersonOccupants.filter_all(
BuildDecisionBookPersonOccupants.build_decision_book_person_id
== self.id,
db=db_session,
).data:
return occupants
return
def check_occupant_type(self, occupant_type):
with self.new_session() as db_session:
book_person_occupant_type = BuildDecisionBookPersonOccupants.filter_one(
BuildDecisionBookPersonOccupants.build_decision_book_person_id
== self.id,
BuildDecisionBookPersonOccupants.occupant_type_id == occupant_type.id,
BuildDecisionBookPersonOccupants.active == True,
BuildDecisionBookPersonOccupants.is_confirmed == True,
db=db_session,
).data
if not book_person_occupant_type:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=f"Occupant Type : {occupant_type.occupant_code} is not found in "
f"Decision Book Person UUID {self.uu_id}",
)
class BuildDecisionBookPersonOccupants(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
"""
__tablename__ = "build_decision_book_person_occupants"
__exclude__fields__ = []
build_decision_book_person_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_person.id"), nullable=False
)
build_decision_book_person_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book Person UUID"
)
invite_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_invitations.id"), nullable=True
)
invite_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Invite UUID"
)
occupant_type_id: Mapped[int] = mapped_column(
ForeignKey("occupant_types.id"), nullable=False
)
occupant_type_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Occupant UUID"
)
__table_args__ = (
Index(
"_build_decision_book_person_occupants_ndx_01",
build_decision_book_person_id,
occupant_type_id,
unique=True,
),
{"comment": "Occupant Types of People that are attended to building meetings."},
)
class BuildDecisionBookItems(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
item_commentary = metine itiraz şerh maddesi için
item_order = maddelerin sıralanma numarası
item_objection = maddelerin itiraz şerhi Text şeklinde
"""
__tablename__ = "build_decision_book_items"
__exclude__fields__ = []
item_order: Mapped[int] = mapped_column(
SmallInteger, nullable=False, comment="Order Number of Item"
)
item_comment: Mapped[str] = mapped_column(
Text, nullable=False, comment="Comment Content"
)
item_objection: Mapped[str] = mapped_column(
Text, nullable=True, comment="Objection Content"
)
info_is_completed: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Info process is Completed"
)
is_payment_created: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Are payment Records Created"
)
info_type_id: Mapped[int] = mapped_column(
ForeignKey("api_enum_dropdown.id"), nullable=True
)
info_type_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Info Type UUID"
)
build_decision_book_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book.id"), nullable=False
)
build_decision_book_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book UUID"
)
item_short_comment: Mapped[str] = mapped_column(
String(24),
nullable=True,
comment="This field is reserved for use in grouping data or in the pivot heading.",
)
decision_books: Mapped["BuildDecisionBook"] = relationship(
"BuildDecisionBook",
back_populates="decision_book_items",
foreign_keys=[build_decision_book_id],
)
decision_book_project: Mapped["BuildDecisionBookProjects"] = relationship(
"BuildDecisionBookProjects",
back_populates="build_decision_book_item",
foreign_keys="BuildDecisionBookProjects.build_decision_book_item_id",
)
__table_args__ = (
Index("_build_decision_book_item_ndx_01", build_decision_book_id),
Index(
"_build_decision_book_item_ndx_02",
build_decision_book_id,
item_order,
unique=True,
),
{
"comment": "Decision Book Items that are related to decision taken at building meetings"
},
)
class BuildDecisionBookItemsUnapproved(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session unapproved personnel
"""
__tablename__ = "build_decision_book_items_unapproved"
__exclude__fields__ = []
item_objection: Mapped[str] = mapped_column(
Text, nullable=False, comment="Objection Content"
)
item_order: Mapped[int] = mapped_column(
SmallInteger, nullable=False, comment="Order Number"
)
decision_book_item_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_items.id"), nullable=False
)
decision_book_item_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book Item"
)
person_id: Mapped[int] = mapped_column(ForeignKey("people.id"), nullable=False)
person_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Person UUID"
)
build_decision_book_item: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_items.id"), nullable=False
)
build_decision_book_item_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book Item UUID"
)
__table_args__ = (
Index("_build_decision_book_item_unapproved_ndx_01", build_decision_book_item),
{
"comment": "People that are unapproved partially or completely in decision book items"
},
)
class BuildDecisionBookPayments(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
period_time = to_char(NEW.process_date, 'YYYY-MM');
"""
__tablename__ = "build_decision_book_payments"
__exclude__fields__ = []
__enum_list__ = [("receive_debit", "DebitTypes", "D")]
payment_plan_time_periods: Mapped[str] = mapped_column(
String(10), nullable=False, comment="Payment Plan Time Periods"
)
process_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Payment Due Date"
)
payment_amount: Mapped[float] = mapped_column(
Numeric(16, 2), nullable=False, comment="Payment Amount"
)
currency: Mapped[str] = mapped_column(String(8), server_default="TRY")
payment_types_id: Mapped[int] = mapped_column(
ForeignKey("api_enum_dropdown.id"), nullable=True
)
payment_types_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Dues Type UUID"
)
period_time: Mapped[str] = mapped_column(String(12))
process_date_y: Mapped[int] = mapped_column(SmallInteger)
process_date_m: Mapped[int] = mapped_column(SmallInteger)
build_decision_book_item_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_items.id"),
nullable=False,
comment="Build Decision Book Item ID",
)
build_decision_book_item_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Decision Book Item UUID"
)
# build_decision_book_id: Mapped[int] = mapped_column(
# ForeignKey("build_decision_book.id"), nullable=True
# )
# build_decision_book_uu_id: Mapped[str] = mapped_column(
# String, nullable=True, comment="Decision Book UUID"
# )
build_parts_id: Mapped[int] = mapped_column(
ForeignKey("build_parts.id"), nullable=False
)
build_parts_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Build Part UUID"
)
decision_book_project_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_projects.id"),
nullable=True,
comment="Decision Book Project ID",
)
decision_book_project_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book Project UUID"
)
account_records_id: Mapped[int] = mapped_column(
ForeignKey("account_records.id"), nullable=True
)
account_records_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Account Record UU ID"
)
# budget_records_id: Mapped[int] = mapped_column(ForeignKey("account_records.id"), nullable=True)
# budget_records_uu_id: Mapped[str] = mapped_column(
# String, nullable=True, comment="Budget UUID"
# )
# accounting_id: Mapped[int] = mapped_column(ForeignKey("account_detail.id"), nullable=True)
# accounting_uu_id: Mapped[str] = mapped_column(
# String, nullable=True, comment="Accounting UUID"
# )
# receive_debit_id: Mapped[int] = mapped_column(ForeignKey("api_enum_dropdown.id"), nullable=True)
# receive_debit_uu_id: Mapped[str] = mapped_column(String, nullable=True, comment="Debit UUID")
# accounting: Mapped["AccountDetail"] = relationship(
# "AccountDetail",
# back_populates="decision_book_payment_detail",
# foreign_keys=[accounting_id],
# )
#
# decision_book_master: Mapped["BuildDecisionBookPaymentsMaster"] = relationship(
# "BuildDecisionBookPaymentsMaster",
# back_populates="decision_book_payment_detail",
# foreign_keys=[build_decision_book_payments_master_id],
# )
# budget_records: Mapped["CompanyBudgetRecords"] = relationship(
# "CompanyBudgetRecords",
# back_populates="decision_book_payment_detail",
# foreign_keys=[budget_records_id],
# )
__table_args__ = (
Index(
"build_decision_book_payments_detail_ndx_00",
build_decision_book_item_id,
build_parts_id,
payment_plan_time_periods,
process_date,
payment_types_id,
account_records_id,
unique=True,
),
Index("build_decision_book_payments_detail_ndx_01", account_records_id),
{"comment": "Payment Details of Decision Book Payments"},
)
class BuildDecisionBookLegal(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
lawsuits_type C:Court Mehkeme M: mediator arabulucu
"""
__tablename__ = "build_decision_book_legal"
__exclude__fields__ = []
period_start_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Start Date of Legal Period"
)
lawsuits_decision_number: Mapped[str] = mapped_column(
String, nullable=False, comment="Lawsuits Decision Number"
)
lawsuits_decision_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Lawsuits Decision Date"
)
period_stop_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), server_default="2099-12-31 23:59:59"
)
decision_book_pdf_path: Mapped[str] = mapped_column(
String, server_default="", nullable=True
)
resp_company_total_wage: Mapped[float] = mapped_column(
Numeric(10, 2), server_default="0", nullable=True
)
contact_agreement_path: Mapped[str] = mapped_column(
String, server_default="", nullable=True
)
contact_agreement_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), server_default="1900-01-01 00:00:00", nullable=True
)
meeting_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), server_default="1900-01-01 00:00:00"
)
lawsuits_type: Mapped[str] = mapped_column(String(1), server_default="C")
lawsuits_name: Mapped[str] = mapped_column(String(128))
lawsuits_note: Mapped[str] = mapped_column(String(512))
lawyer_cost: Mapped[float] = mapped_column(Numeric(20, 2))
mediator_lawyer_cost: Mapped[float] = mapped_column(Numeric(20, 2))
other_cost: Mapped[float] = mapped_column(Numeric(20, 2))
legal_cost: Mapped[float] = mapped_column(Numeric(20, 2))
approved_cost: Mapped[float] = mapped_column(Numeric(20, 2))
total_price: Mapped[float] = mapped_column(Numeric(20, 2))
build_db_item_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_items.id"), nullable=False
)
build_db_item_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book Item UUID"
)
resp_attorney_id: Mapped[int] = mapped_column(
ForeignKey("people.id"), nullable=False
)
resp_attorney_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Attorney UUID"
)
resp_attorney_company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"))
resp_attorney_company_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Company UUID"
)
mediator_lawyer_person_id: Mapped[int] = mapped_column(ForeignKey("people.id"))
mediator_lawyer_person_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Mediator Lawyer UUID"
)
__table_args__ = (
Index("_build_decision_book_legal_ndx_00", meeting_date),
{
"comment": "Legal items related to decision book items recoreded at building meetings"
},
)
class BuildDecisionBookProjects(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
project_type = C:Court Mehkeme M: mediator arabulucu
"""
__tablename__ = "build_decision_book_projects"
__exclude__fields__ = []
project_no: Mapped[str] = mapped_column(
String(12), nullable=True, comment="Project Number of Decision Book"
)
project_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Project Name"
)
project_start_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, comment="Project Start Date"
)
project_stop_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), server_default="2099-12-31 23:59:59"
)
project_type: Mapped[str] = mapped_column(String, server_default="C")
project_note: Mapped[str] = mapped_column(Text)
decision_book_pdf_path: Mapped[str] = mapped_column(
String, server_default="", nullable=True
)
is_completed: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Project is Completed"
)
status_code: Mapped[int] = mapped_column(SmallInteger, nullable=True)
resp_company_fix_wage: Mapped[float] = mapped_column(
Numeric(10, 2), server_default="0"
)
is_out_sourced: Mapped[bool] = mapped_column(Boolean, server_default="0")
meeting_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True), server_default="1900-01-01 00:00:00", index=True
)
currency: Mapped[str] = mapped_column(String(8), server_default="TRY")
bid_price: Mapped[float] = mapped_column(Numeric(16, 4), server_default="0")
approved_price: Mapped[float] = mapped_column(Numeric(16, 4), server_default="0")
final_price: Mapped[float] = mapped_column(Numeric(16, 4), server_default="0")
contact_id: Mapped[int] = mapped_column(
ForeignKey("contracts.id"), nullable=True, comment="Contract id"
)
contact_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Contract UUID"
)
build_decision_book_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book.id"), nullable=False
)
build_decision_book_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book UUID"
)
build_decision_book_item_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_items.id"), nullable=False
)
build_decision_book_item_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book Item UUID"
)
project_response_living_space_id: Mapped[int] = mapped_column(
ForeignKey("build_living_space.id"),
nullable=True,
comment="Project Response Person ID",
)
project_response_living_space_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Project Response Person UUID"
)
resp_company_id: Mapped[int] = mapped_column(
ForeignKey("companies.id"), nullable=True
)
resp_company_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Company UUID"
)
build_decision_book_item: Mapped["BuildDecisionBookItems"] = relationship(
"BuildDecisionBookItems",
back_populates="decision_book_project",
foreign_keys=[build_decision_book_item_id],
)
__table_args__ = (
Index(
"_build_decision_book_project_ndx_00",
project_no,
project_start_date,
unique=True,
),
{
"comment": "Project related to decision taken at building meetings on book items"
},
)
@property
def get_project_year(self):
return self.decision_book_items.decision_books.period_start_date.year
@property
def get_project_no(self):
return f"{self.get_project_year}-{str(self.id)[-4:].zfill(4)}"
class BuildDecisionBookProjectPerson(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
"""
__tablename__ = "build_decision_book_project_person"
__exclude__fields__ = []
# __enum_list__ = [("management_typecode", "ProjectTeamTypes", "PTT-EMP")]
dues_percent_discount: Mapped[int] = mapped_column(SmallInteger, server_default="0")
job_fix_wage: Mapped[float] = mapped_column(Numeric(10, 2), server_default="0")
bid_price: Mapped[float] = mapped_column(Numeric(10, 2), server_default="0")
decision_price: Mapped[float] = mapped_column(Numeric(10, 2), server_default="0")
build_decision_book_project_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_projects.id"), nullable=False
)
build_decision_book_project_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book Project UUID"
)
living_space_id: Mapped[int] = mapped_column(
ForeignKey("build_living_space.id"), nullable=False
)
living_space_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Living Space UUID"
)
__table_args__ = (
{"comment": "People that are attended to building project meetings."},
)
class BuildDecisionBookProjectItems(CrudCollection):
"""
Builds class based on declarative_base and BaseMixin via session
"""
__tablename__ = "build_decision_book_project_items"
__exclude__fields__ = []
item_header: Mapped[str] = mapped_column(
String, nullable=False, comment="Item Header"
)
item_comment: Mapped[str] = mapped_column(
Text, nullable=False, comment="Item Comment"
)
attachment_pdf_path: Mapped[str] = mapped_column(
String, server_default="", nullable=True, comment="Attachment PDF Path"
)
item_estimated_cost: Mapped[float] = mapped_column(
Numeric(16, 2), server_default="0", comment="Estimated Cost"
)
item_short_comment: Mapped[str] = mapped_column(
String(24),
nullable=True,
comment="This field is reserved for use in grouping data or in the pivot heading.",
)
build_decision_book_project_id: Mapped[int] = mapped_column(
ForeignKey("build_decision_book_projects.id"), nullable=False
)
build_decision_book_project_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Decision Book Project UUID"
)
__table_args__ = (
{"comment": "Project Items related to decision taken at building meetings"},
)

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from typing import Any
from schemas.base_imports import (
CrudCollection,
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Numeric,
SmallInteger,
mapped_column,
Mapped,
)
class RelationshipDutyCompany(CrudCollection):
"""
CompanyRelationship class based on declarative_base and CrudCollection via session
Company -> Sub Company -> Sub-Sub Company
if owner_id == parent_id: can manipulate data of any record
else: Read-Only
duty_id = if relationship_type == base An organization / not operational / no responsible person
relationship = company_id filter -> Action filter(company_id) relationship_type = Organization
relationship = company_id filter -> Action filter(company_id) relationship_type = Commercial
"""
__tablename__ = "relationship_duty_company"
__exclude__fields__ = []
owner_id: Mapped[int] = mapped_column(
ForeignKey("companies.id"), nullable=False
) # 1
duties_id: Mapped[int] = mapped_column(
ForeignKey("duties.id"), nullable=False
) # duty -> (n)employee Evyos LTD
member_id: Mapped[int] = mapped_column(
ForeignKey("companies.id"), nullable=False
) # 2, 3, 4
parent_id: Mapped[int] = mapped_column(
ForeignKey("companies.id"), nullable=True
) # None
relationship_type: Mapped[str] = mapped_column(
String, nullable=True, server_default="Commercial"
) # Commercial, Organization # Bulk
child_count: Mapped[int] = mapped_column(Integer) # 0
show_only: Mapped[bool] = mapped_column(Boolean, server_default="0")
# related_company: Mapped[List["Companies"]] = relationship(
# "Companies",
# back_populates="related_companies",
# foreign_keys=[related_company_id],
# )
@classmethod
def match_company_to_company_commercial(cls, data: Any, token):
from Schemas import Duties
with cls.new_session() as db_session:
token_duties_id, token_company_id = token.get("duty_id"), token.get(
"company_id"
)
list_match_company_id = []
send_duties = Duties.filter_one(
Duties.uu_id == data.duty_uu_id, db=db_session
)
send_user_duties = Duties.filter_one(
Duties.duties_id == send_duties.id,
Duties.company_id == token_duties_id,
db=db_session,
)
if not send_user_duties:
raise Exception(
"Send Duty is not found in company. Please check duty uuid and try again."
)
for company_uu_id in list(data.match_company_uu_id):
company = Companies.filter_one(
Companies.uu_id == company_uu_id, db=db_session
)
bulk_company = RelationshipDutyCompany.filter_one(
RelationshipDutyCompany.owner_id == token_company_id,
RelationshipDutyCompany.relationship_type == "Bulk",
RelationshipDutyCompany.member_id == company.id,
db=db_session,
)
if not bulk_company:
raise Exception(
f"Bulk Company is not found in company. "
f"Please check company uuid {bulk_company.uu_id} and try again."
)
list_match_company_id.append(bulk_company)
for match_company_id in list_match_company_id:
RelationshipDutyCompany.find_or_create(
owner_id=token_company_id,
duties_id=send_user_duties.id,
member_id=match_company_id.id,
parent_id=match_company_id.parent_id,
relationship_type="Commercial",
show_only=False,
db=db_session,
)
@classmethod
def match_company_to_company_organization(cls, data: Any, token):
from Schemas import Duties
with cls.new_session() as db_session:
token_duties_id, token_company_id = token.get("duty_id"), token.get(
"company_id"
)
list_match_company_id = []
send_duties = Duties.filter_one(
Duties.uu_id == data.duty_uu_id, db=db_session
)
send_user_duties = Duties.filter_one(
Duties.duties_id == send_duties.id,
Duties.company_id == token_duties_id,
db=db_session,
)
if not send_user_duties:
raise Exception(
"Send Duty is not found in company. Please check duty uuid and try again."
)
for company_uu_id in list(data.match_company_uu_id):
company = Companies.filter_one(
Companies.uu_id == company_uu_id, db=db_session
)
bulk_company = RelationshipDutyCompany.filter_one(
RelationshipDutyCompany.owner_id == token_company_id,
RelationshipDutyCompany.relationship_type == "Bulk",
RelationshipDutyCompany.member_id == company.id,
db=db_session,
)
if not bulk_company:
raise Exception(
f"Bulk Company is not found in company. "
f"Please check company uuid {bulk_company.uu_id} and try again."
)
list_match_company_id.append(bulk_company)
for match_company_id in list_match_company_id:
Duties.init_a_company_default_duties(
company_id=match_company_id.id,
company_uu_id=str(match_company_id.uu_id),
db=db_session,
)
RelationshipDutyCompany.find_or_create(
owner_id=token_company_id,
duties_id=send_user_duties.id,
member_id=match_company_id.id,
parent_id=match_company_id.parent_id,
relationship_type="Organization",
show_only=False,
db=db_session,
)
__table_args__ = (
Index(
"_company_relationship_ndx_01",
duties_id,
owner_id,
member_id,
relationship_type,
unique=True,
),
{"comment": "Company Relationship Information"},
)
class Companies(CrudCollection):
"""
Company class based on declarative_base and CrudCollection via session
formal_name = Government register name by offical
public_name = Public registered name by User
nick_name = Search by nickname, commercial_type = Tüzel veya birey
"""
__tablename__ = "companies"
__exclude__fields__ = ["is_blacklist", "is_commercial"]
__access_by__ = []
__many__table__ = RelationshipDutyCompany
formal_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Formal Name"
)
company_type: Mapped[str] = mapped_column(
String, nullable=False, comment="Company Type"
)
commercial_type: Mapped[str] = mapped_column(
String, nullable=False, comment="Commercial Type"
)
tax_no: Mapped[str] = mapped_column(
String, index=True, unique=True, nullable=False, comment="Tax No"
)
public_name: Mapped[str] = mapped_column(String, comment="Public Name of a company")
company_tag: Mapped[str] = mapped_column(String, comment="Company Tag")
default_lang_type: Mapped[str] = mapped_column(String, server_default="TR")
default_money_type: Mapped[str] = mapped_column(String, server_default="TL")
is_commercial: Mapped[bool] = mapped_column(Boolean, server_default="False")
is_blacklist: Mapped[bool] = mapped_column(Boolean, server_default="False")
parent_id = mapped_column(Integer, nullable=True)
workplace_no: Mapped[str] = mapped_column(String, nullable=True)
official_address_id: Mapped[int] = mapped_column(
ForeignKey("addresses.id"), nullable=True
)
official_address_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Official Address UUID"
)
top_responsible_company_id: Mapped[int] = mapped_column(
ForeignKey("companies.id"), nullable=True
)
top_responsible_company_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Top Responsible Company UUID"
)
# buildings: Mapped[List["Build"]] = relationship(
# "Build",
# back_populates="companies",
# foreign_keys="Build.company_id",
# )
__table_args__ = (
Index("_company_ndx_01", tax_no, unique=True),
Index("_company_ndx_02", formal_name, public_name),
{"comment": "Company Information"},
)

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from schemas.base_imports import (
CrudCollection,
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Numeric,
SmallInteger,
mapped_column,
Mapped,
)
class Departments(CrudCollection):
__tablename__ = "departments"
__exclude__fields__ = []
parent_department_id = mapped_column(Integer, server_default="0")
department_code = mapped_column(
String(16), nullable=False, index=True, comment="Department Code"
)
department_name: Mapped[str] = mapped_column(
String(128), nullable=False, comment="Department Name"
)
department_description: Mapped[str] = mapped_column(String, server_default="")
company_id: Mapped[int] = mapped_column(ForeignKey("companies.id"), nullable=False)
company_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Company UUID"
)
__table_args__ = {"comment": "Departments Information"}
class Duty(CrudCollection):
__tablename__ = "duty"
__exclude__fields__ = []
duty_name: Mapped[str] = mapped_column(
String, unique=True, nullable=False, comment="Duty Name"
)
duty_code: Mapped[str] = mapped_column(String, nullable=False, comment="Duty Code")
duty_description: Mapped[str] = mapped_column(String, comment="Duty Description")
__table_args__ = ({"comment": "Duty Information"},)
class Duties(CrudCollection):
__tablename__ = "duties"
__exclude__fields__ = []
users_default_duty = mapped_column(
ForeignKey("duty.id"), nullable=True, comment="Default Duty for Users"
)
company_id: Mapped[int] = mapped_column(Integer)
company_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Company UUID"
)
duties_id: Mapped[int] = mapped_column(ForeignKey("duty.id"), nullable=False)
duties_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Duty UUID"
)
department_id = mapped_column(
ForeignKey("departments.id"), nullable=False, comment="Department ID"
)
department_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Department UUID"
)
# priority_id: Mapped[int] = mapped_column(ForeignKey("priority.id"), nullable=True)
management_duty = mapped_column(
Boolean, server_default="0"
) # is this a prime Company Duty ???
__table_args__ = (
Index("duty_ndx_00", company_id, duties_id, department_id, unique=True),
{"comment": "Duty & Company & Department Information"},
)

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from schemas.base_imports import (
CrudCollection,
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Numeric,
SmallInteger,
mapped_column,
Mapped,
)
class Staff(CrudCollection):
__tablename__ = "staff"
__exclude__fields__ = []
staff_description: Mapped[str] = mapped_column(
String, server_default="", comment="Staff Description"
)
staff_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Staff Name"
)
staff_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Staff Code"
)
duties_id: Mapped[int] = mapped_column(ForeignKey("duties.id"), nullable=False)
duties_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Duty UUID"
)
__table_args__ = ({"comment": "Staff Information"},)
class Employees(CrudCollection):
__tablename__ = "employees"
__exclude__fields__ = []
staff_id: Mapped[int] = mapped_column(ForeignKey("staff.id"))
staff_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Staff UUID"
)
people_id: Mapped[int] = mapped_column(ForeignKey("people.id"), nullable=True)
people_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="People UUID"
)
__table_args__ = (
Index("employees_ndx_00", people_id, staff_id, unique=True),
{"comment": "Employee Person Information"},
)
class EmployeeHistory(CrudCollection):
__tablename__ = "employee_history"
__exclude__fields__ = []
staff_id: Mapped[int] = mapped_column(
ForeignKey("staff.id"), nullable=False, comment="Staff ID"
)
staff_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Staff UUID"
)
people_id: Mapped[int] = mapped_column(
ForeignKey("people.id"), nullable=False, comment="People ID"
)
people_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="People UUID"
)
__table_args__ = (
Index("_employee_history_ndx_00", people_id, staff_id),
{"comment": "Employee History Information"},
)
class EmployeesSalaries(CrudCollection):
__tablename__ = "employee_salaries"
__exclude__fields__ = []
gross_salary: Mapped[float] = mapped_column(
Numeric(20, 6), nullable=False, comment="Gross Salary"
)
net_salary: Mapped[float] = mapped_column(
Numeric(20, 6), nullable=False, comment="Net Salary"
)
people_id: Mapped[int] = mapped_column(ForeignKey("people.id"), nullable=False)
people_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="People UUID"
)
__table_args__ = (
Index("_employee_salaries_ndx_00", people_id, "expiry_starts"),
{"comment": "Employee Salaries Information"},
)

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from schemas.base_imports import (
CrudCollection,
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Numeric,
SmallInteger,
mapped_column,
Mapped,
)
class Applications(CrudCollection):
"""
Applications class based on declarative_base and BaseMixin via session
"""
__tablename__ = "applications"
__exclude__fields__ = []
name: Mapped[str] = mapped_column(
String, nullable=False, comment="Application Name"
)
site_url: Mapped[str] = mapped_column(String, nullable=False, comment="Site URL")
application_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Application Code"
)
application_type: Mapped[str] = mapped_column(String, comment="Application Type")
application_for: Mapped[str] = mapped_column(
String, server_default="EMP", comment="Application For"
)
description: Mapped[str] = mapped_column(String, comment="Application Description")
class Events(CrudCollection):
"""
Events class based on declarative_base and BaseMixin via session
If Events2Occupants and Events2Employees are not found for user request, response 401 Unauthorized
"""
__tablename__ = "events"
__exclude__fields__ = []
function_code: Mapped[str] = mapped_column(
String, nullable=False, comment="function code", unique=True
)
function_class: Mapped[str] = mapped_column(
String, nullable=False, comment="class name"
)
# name: Mapped[str] = mapped_column(String, nullable=True) # form or page title
description: Mapped[str] = mapped_column(String, server_default="")
property_description: Mapped[str] = mapped_column(String, server_default="")
marketing_layer = mapped_column(SmallInteger, server_default="3")
cost: Mapped[float] = mapped_column(Numeric(20, 2), server_default="0.00")
unit_price: Mapped[float] = mapped_column(Numeric(20, 2), server_default="0.00")
endpoint_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Event Type"
)
endpoint_id: Mapped[int] = mapped_column(
ForeignKey("endpoint_restriction.id"), nullable=True
)
endpoint_uu_id: Mapped[str] = mapped_column(
String, nullable=True, comment="Endpoint UUID"
)
__table_args__ = ({"comment": "Events Information"},)
class Modules(CrudCollection):
"""
Modules class based on declarative_base and BaseMixin via session
"""
__tablename__ = "modules"
__exclude__fields__ = []
module_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Module Name"
)
module_description: Mapped[str] = mapped_column(String, server_default="")
module_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Module Code"
)
module_layer = mapped_column(Integer, nullable=False, comment="Module Layer")
is_default_module = mapped_column(Boolean, server_default="0")
def retrieve_services(self):
services = Services.filter_all(Services.module_id == self.id).data
if not services:
self.raise_http_exception(
status_code="HTTP_404_NOT_FOUND",
error_case="RECORD_NOT_FOUND",
message=f"No services found for this module : {str(self.uu_id)}",
data={
"module_uu_id": str(self.uu_id),
},
)
return services
__table_args__ = ({"comment": "Modules Information"},)
class ModulePrice(CrudCollection):
"""
ModulePrice class based on declarative_base and BaseMixin via session
"""
__tablename__ = "module_price"
__exclude__fields__ = []
campaign_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Campaign Code"
)
module_id: Mapped[int] = mapped_column(ForeignKey("modules.id"), nullable=False)
module_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Module UUID"
)
service_id: Mapped[int] = mapped_column(ForeignKey("services.id"), nullable=False)
service_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Service UUID"
)
event_id: Mapped[int] = mapped_column(ForeignKey("events.id"), nullable=False)
event_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Event UUID"
)
is_counted_percentage: Mapped[float] = mapped_column(
Numeric(6, 2), server_default="0.00"
) # %22
discounted_price: Mapped[float] = mapped_column(
Numeric(20, 2), server_default="0.00"
) # Normal: 78.00 TL
calculated_price: Mapped[float] = mapped_column(
Numeric(20, 2), server_default="0.00"
) # sana düz 75.00 TL yapar
__table_args__ = ({"comment": "ModulePrice Information"},)
class Services(CrudCollection):
"""
Services class based on declarative_base and BaseMixin via session
"""
__tablename__ = "services"
__exclude__fields__ = []
module_id: Mapped[int] = mapped_column(ForeignKey("modules.id"), nullable=False)
module_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Module UUID"
)
service_name: Mapped[str] = mapped_column(
String, nullable=False, comment="Service Name"
)
service_description: Mapped[str] = mapped_column(String, server_default="")
service_code: Mapped[str] = mapped_column(
String, nullable=True, comment="Service Code"
)
related_responsibility: Mapped[str] = mapped_column(String, server_default="")
@classmethod
def retrieve_service_via_occupant_code(cls, occupant_code):
from Schemas import OccupantTypes
with cls.new_session() as db_session:
occupant_type = OccupantTypes.filter_by_one(
system=True, occupant_code=occupant_code, db=db_session
).data
if not occupant_type:
cls.raise_http_exception(
status_code="HTTP_404_NOT_FOUND",
error_case="RECORD_NOT_FOUND",
message=f"No occupant type found for this code : {occupant_code}",
data={
"occupant_code": occupant_code,
},
)
return cls.filter_one(
cls.related_responsibility == occupant_type.occupant_code, db=db_session
).data
__table_args__ = ({"comment": "Services Information"},)
class Service2Events(CrudCollection):
"""
Service2Actions class based on declarative_base and BaseMixin via session
"""
__tablename__ = "services2events"
__exclude__fields__ = []
service_id: Mapped[int] = mapped_column(ForeignKey("services.id"), nullable=False)
service_uu_id = mapped_column(String, nullable=False, comment="Service UUID")
event_id: Mapped[int] = mapped_column(ForeignKey("events.id"), nullable=False)
event_uu_id = mapped_column(String, nullable=False, comment="Event UUID")
__table_args__ = ({"comment": "Service2Events Information"},)
class Service2Application(CrudCollection):
"""
Service2Application class based on declarative_base and BaseMixin via session
"""
__tablename__ = "services2applications"
__exclude__fields__ = []
application_id: Mapped[int] = mapped_column(
ForeignKey("applications.id"), nullable=False
)
application_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Application UUID"
)
service_id: Mapped[int] = mapped_column(ForeignKey("services.id"), nullable=False)
service_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Service UUID"
)
application_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Application Code"
)
site_url: Mapped[str] = mapped_column(String, nullable=False, comment="Site URL")
__table_args__ = {"comment": "Service2Applications Information"}
class Event2OccupantExtra(CrudCollection):
__tablename__ = "event2occupant_extra"
__exclude__fields__ = []
build_living_space_id: Mapped[int] = mapped_column(
ForeignKey("build_living_space.id"), nullable=False
)
build_living_space_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Build Living Space UUID"
)
event_id: Mapped[int] = mapped_column(ForeignKey("events.id"), nullable=False)
event_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Event UUID"
)
__table_args__ = (
Index(
"event2occupant_extra_bind_event_to_occupant",
build_living_space_id,
event_id,
unique=True,
),
{"comment": "Occupant2Event Information"},
)
class Event2EmployeeExtra(CrudCollection):
"""
Employee2Event class based on declarative_base and BaseMixin via session
"""
__tablename__ = "event2employee_extra"
__exclude__fields__ = []
employee_id: Mapped[int] = mapped_column(ForeignKey("employees.id"), nullable=False)
employee_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Employee UUID"
)
event_id: Mapped[int] = mapped_column(ForeignKey("events.id"), nullable=False)
event_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Event UUID"
)
__table_args__ = (
Index(
"event2employee_extra_employee_to_event",
employee_id,
event_id,
unique=True,
),
{"comment": "Employee to Event Information"},
)
class Event2Employee(CrudCollection):
"""
Employee2Event class based on declarative_base and BaseMixin via session
"""
__tablename__ = "event2employee"
__exclude__fields__ = []
employee_id: Mapped[int] = mapped_column(ForeignKey("employees.id"), nullable=False)
employee_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Employee UUID"
)
event_service_id: Mapped[int] = mapped_column(
ForeignKey("services.id"), nullable=False
)
event_service_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Event Cluster UUID"
)
__table_args__ = (
Index(
"event2employee_employee_to_event",
employee_id,
event_service_id,
unique=True,
),
{"comment": "Employee to Event Information"},
)
@classmethod
def get_event_codes(cls, employee_id: int, db) -> dict[str:str]:
employee_events = cls.filter_all(
cls.employee_id == employee_id,
db=db,
).data
service_ids = list(set([event.event_service_id for event in employee_events]))
active_event_ids = Service2Events.filter_all(
Service2Events.service_id.in_(service_ids),
db=db,
).data
active_events = Events.filter_all(
Events.id.in_([event.event_id for event in active_event_ids]),
db=db,
).data
if extra_events := Event2EmployeeExtra.filter_all(
Event2EmployeeExtra.employee_id == employee_id,
db=db,
).data:
events_extra = Events.filter_all(
Events.id.in_([event.event_id for event in extra_events]),
db=db,
).data
active_events.extend(events_extra)
events_dict = {}
for event in active_events:
if not event.endpoint_code in events_dict:
events_dict[str(event.endpoint_code)] = str(event.function_code)
else:
ValueError("Duplicate event code found for single endpoint")
return events_dict
class Event2Occupant(CrudCollection):
"""
Occupant2Event class based on declarative_base and BaseMixin via session
"""
__tablename__ = "event2occupant"
__exclude__fields__ = []
build_living_space_id: Mapped[str] = mapped_column(
ForeignKey("build_living_space.id"), nullable=False
)
build_living_space_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Build Living Space UUID"
)
event_service_id: Mapped[int] = mapped_column(
ForeignKey("services.id"), nullable=False
)
event_service_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Event Cluster UUID"
)
# event_id: Mapped[int] = mapped_column(ForeignKey("events.id"), nullable=False)
# event_uu_id = mapped_column(String, nullable=False, comment="Event UUID")
__table_args__ = (
Index(
"event2occupant_bind_event_to_occupant",
build_living_space_id,
event_service_id,
unique=True,
),
{"comment": "Occupant2Event Information"},
)
@classmethod
def get_event_codes(cls, build_living_space_id: int, db) -> dict[str:str]:
occupant_events = cls.filter_all(
cls.build_living_space_id == build_living_space_id,
db=db,
).data
service_ids = list(set([event.event_service_id for event in occupant_events]))
active_event_ids = Service2Events.filter_all_system(
Service2Events.service_id.in_(service_ids),
db=db,
).data
active_events = Events.filter_all(
Events.id.in_([event.event_id for event in active_event_ids]),
db=db,
).data
if extra_events := Event2OccupantExtra.filter_all(
Event2OccupantExtra.build_living_space_id == build_living_space_id,
db=db,
).data:
events_extra = Events.filter_all(
Events.id.in_([event.event_id for event in extra_events]),
db=db,
).data
active_events.extend(events_extra)
events_dict = {}
for event in active_events:
if not event.endpoint_code in events_dict:
events_dict[str(event.endpoint_code)] = str(event.function_code)
else:
ValueError("Duplicate event code found for single endpoint")
return events_dict
class Application2Employee(CrudCollection):
"""
Application2Employee class based on declarative_base and BaseMixin via session
"""
__tablename__ = "application2employee"
__exclude__fields__ = []
employee_id: Mapped[int] = mapped_column(ForeignKey("employees.id"), nullable=False)
employee_uu_id = mapped_column(String, nullable=False, comment="Employee UUID")
service_id: Mapped[int] = mapped_column(ForeignKey("services.id"), nullable=False)
service_uu_id = mapped_column(String, nullable=False, comment="Service UUID")
@classmethod
def get_application_codes(cls, employee_id: int, db) -> list[int]:
employee_services = cls.filter_all(
cls.employee_id == employee_id,
db=db,
).data
service_ids = [service.service_id for service in employee_services]
active_applications = Service2Application.filter_all(
Service2Application.service_id.in_(service_ids),
db=db,
).data
applications = Applications.filter_all(
Applications.id.in_(
[application.application_id for application in active_applications]
),
db=db,
).data
if extra_applications := Application2EmployeeExtra.filter_all(
Application2EmployeeExtra.employee_id == employee_id,
db=db,
).data:
applications_extra = Applications.filter_all(
Applications.id.in_(
[application.application_id for application in extra_applications]
),
db=db,
).data
applications.extend(applications_extra)
applications_dict = {}
for application in applications:
if not application.site_url in applications_dict:
applications_dict[str(application.site_url)] = str(application.application_code)
else:
ValueError("Duplicate application code found for single endpoint")
return applications_dict
__table_args__ = (
Index(
"application2employee_employee_to_service",
employee_uu_id,
service_uu_id,
unique=True,
),
{"comment": "Application to Employee Information"},
)
class Application2Occupant(CrudCollection):
"""
Application2Occupant class based on declarative_base and BaseMixin via session
"""
__tablename__ = "application2occupant"
__exclude__fields__ = []
build_living_space_id: Mapped[int] = mapped_column(
ForeignKey("build_living_space.id"), nullable=False
)
build_living_space_uu_id = mapped_column(
String, nullable=False, comment="Build Living Space UUID"
)
service_id: Mapped[int] = mapped_column(ForeignKey("services.id"), nullable=False)
service_uu_id = mapped_column(String, nullable=False, comment="Service UUID")
@classmethod
def get_application_codes(cls, build_living_space_id: int, db) -> list[int]:
occupant_services = cls.filter_all(
cls.build_living_space_id == build_living_space_id,
db=db,
).data
service_ids = [service.service_id for service in occupant_services]
active_applications = Service2Application.filter_all(
Service2Application.service_id.in_(service_ids),
db=db,
).data
applications = Applications.filter_all(
Applications.id.in_(
[application.application_id for application in active_applications]
),
db=db,
).data
if extra_applications := Application2OccupantExtra.filter_all(
Application2OccupantExtra.build_living_space_id == build_living_space_id,
db=db,
).data:
applications_extra = Applications.filter_all(
Applications.id.in_(
[application.application_id for application in extra_applications]
),
db=db,
).data
applications.extend(applications_extra)
applications_dict = {}
for application in applications:
if not application.site_url in applications_dict:
applications_dict[str(application.site_url)] = str(application.application_code)
else:
ValueError("Duplicate application code found for single endpoint")
return applications_dict
__table_args__ = (
Index(
"application2occupant_occupant_to_service",
build_living_space_uu_id,
service_uu_id,
unique=True,
),
{"comment": "Application to Occupant Information"},
)
class Application2EmployeeExtra(CrudCollection):
"""
Application2EmployeeExtra class based on declarative_base and BaseMixin via session
"""
__tablename__ = "application2employee_extra"
__exclude__fields__ = []
employee_id: Mapped[int] = mapped_column(ForeignKey("employees.id"), nullable=False)
employee_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Employee UUID"
)
application_id: Mapped[int] = mapped_column(ForeignKey("applications.id"))
application_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Application UUID"
)
site_url: Mapped[str] = mapped_column(String, nullable=False, comment="Site URL")
application_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Application Code"
)
__table_args__ = (
Index(
"application_to_employee",
employee_id,
site_url,
application_id,
unique=True,
),
{"comment": "Application2Employee Information"},
)
class Application2OccupantExtra(CrudCollection):
"""
Application2OccupantExtra class based on declarative_base and BaseMixin via session
"""
__tablename__ = "application2occupant_extra"
__exclude__fields__ = []
build_living_space_id: Mapped[int] = mapped_column(
ForeignKey("build_living_space.id"), nullable=False
)
build_living_space_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Build Living Space UUID"
)
application_id: Mapped[int] = mapped_column(ForeignKey("applications.id"))
application_uu_id: Mapped[str] = mapped_column(
String, nullable=False, comment="Application UUID"
)
site_url: Mapped[str] = mapped_column(String, nullable=False, comment="Site URL")
application_code: Mapped[str] = mapped_column(
String, nullable=False, comment="Application Code"
)
__table_args__ = (
Index(
"application_to_occupant",
build_living_space_id,
site_url,
application_id,
unique=True,
),
{"comment": "Application2Occupant Information"},
)

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import arrow
from schemas.base_imports import (
CrudCollection,
String,
Integer,
Boolean,
ForeignKey,
Index,
TIMESTAMP,
Text,
func,
BigInteger,
Numeric,
or_,
and_,
mapped_column,
Mapped,
relationship,
)
class UsersTokens(CrudCollection):
__tablename__ = "users_tokens"
__exclude__fields__ = []
user_id: Mapped[int] = mapped_column(ForeignKey("users.id"), nullable=False)
token_type: Mapped[str] = mapped_column(String(16), server_default="RememberMe")
token: Mapped[str] = mapped_column(String, server_default="")
domain: Mapped[str] = mapped_column(String, server_default="")
expires_at: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True),
default=str(arrow.now().shift(days=3)),
)
# users = relationship("Users", back_populates="tokens", foreign_keys=[user_id])
class Credentials(CrudCollection):
"""
Credentials class to store user credentials
"""
__tablename__ = "credentials"
__exclude__fields__ = []
credential_token: Mapped[str] = mapped_column(
String, server_default="", comment="Credential token for authentication"
)
user_id: Mapped[int] = mapped_column(
ForeignKey("users.id"), nullable=False, comment="Foreign key to users table"
)
user_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="User UUID", index=True
)
person_id: Mapped[int] = mapped_column(
ForeignKey("people.id"), nullable=False, comment="Foreign key to person table"
)
person_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="Person UUID", index=True
)
name: Mapped[str] = mapped_column(
String, server_default="", comment="Name of the user", index=True
)
surname: Mapped[str] = mapped_column(
String, server_default="", comment="Surname of the user", index=True
)
email: Mapped[str] = mapped_column(
String, server_default="", comment="Email address of the user", index=True
)
phone: Mapped[str] = mapped_column(
String, server_default="", comment="Phone number of the user", index=True
)
is_verified: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Flag to check if user is verified"
)
def generate_token(self) -> str:
"""
Generate a unique token for the user
"""
name_token, rest_of_token = "", ""
if self.name and self.surname:
name_token = f"{self.name[0].upper()}{self.surname[0].upper()}"
return ""
class Users(CrudCollection):
"""
Application User frame to connect to API with assigned token-based HTTP connection
"""
__tablename__ = "users"
__exclude__fields__ = [
"hash_password",
"password_token",
"expiry_begins",
"related_company",
]
user_tag: Mapped[str] = mapped_column(
String(64), server_default="", comment="Unique tag for the user", index=True
)
email: Mapped[str] = mapped_column(
String(128), server_default="", comment="Email address of the user", index=True
)
phone_number: Mapped[str] = mapped_column(
String, server_default="", comment="Phone number of the user", index=True
)
via: Mapped[str] = mapped_column(
String,
server_default="111",
comment="Email 1/ Phone 2/ User Tag 3 All 111 Only 100",
)
avatar: Mapped[str] = mapped_column(
String, server_default="", comment="Avatar URL for the user"
)
hash_password: Mapped[str] = mapped_column(
String(256), server_default="", comment="Hashed password for security"
)
password_token: Mapped[str] = mapped_column(
String(256), server_default="", comment="Token for password reset"
)
remember_me: Mapped[bool] = mapped_column(
Boolean, server_default="0", comment="Flag to remember user login"
)
password_expires_day: Mapped[int] = mapped_column(
Integer,
server_default=str(30),
comment="Password expires in days",
)
password_expiry_begins: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True),
server_default=func.now(),
comment="Timestamp when password expiry begins",
)
related_company: Mapped[str] = mapped_column(String, comment="Related Company UUID")
person_id: Mapped[int] = mapped_column(
ForeignKey("people.id"), nullable=False, comment="Foreign key to person table"
)
person_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="Person UUID", index=True
)
local_timezone = mapped_column(
String, server_default="GMT+3", comment="Local timezone of user"
)
person = relationship("People", back_populates="user", foreign_keys=[person_id])
default_language: Mapped[str] = mapped_column(
String, server_default="tr", comment="Default language of user"
)
class RelationshipDutyPeople(CrudCollection):
__tablename__ = "relationship_duty_people"
__exclude__fields__ = []
company_id: Mapped[int] = mapped_column(
ForeignKey("companies.id"), nullable=False
) # 1, 2, 3
duties_id: Mapped[int] = mapped_column(
ForeignKey("duties.id"), nullable=False
) # duty -> (n)person Evyos LTD
member_id: Mapped[int] = mapped_column(
ForeignKey("people.id"), nullable=False
) # 2, 3, 4
relationship_type: Mapped[str] = mapped_column(
String, nullable=True, server_default="Employee"
) # Commercial
show_only: Mapped[bool] = mapped_column(Boolean, server_default="0")
# related_company: Mapped[List["Company"]] = relationship(
# "Company",
# back_populates="related_companies",
# foreign_keys=[related_company_id],
# )
__table_args__ = (
Index(
"person_relationship_ndx_01",
company_id,
duties_id,
member_id,
relationship_type,
unique=True,
),
{"comment": "Person Relationship Information"},
)
class People(CrudCollection):
"""
People that are related to users in the application
"""
__tablename__ = "people"
__exclude__fields__ = []
__many__table__ = RelationshipDutyPeople
__encrypt_list__ = [
"father_name",
"mother_name",
"country_code",
"national_identity_id",
"birth_place",
"birth_date",
"tax_no",
]
firstname: Mapped[str] = mapped_column(
String, nullable=False, comment="First name of the person"
)
surname: Mapped[str] = mapped_column(
String(24), nullable=False, comment="Surname of the person"
)
middle_name: Mapped[str] = mapped_column(
String, server_default="", comment="Middle name of the person"
)
sex_code: Mapped[str] = mapped_column(
String(1), nullable=False, comment="Sex code of the person (e.g., M/F)"
)
person_ref: Mapped[str] = mapped_column(
String, server_default="", comment="Reference ID for the person"
)
person_tag: Mapped[str] = mapped_column(
String, server_default="", comment="Unique tag for the person"
)
# ENCRYPT DATA
father_name: Mapped[str] = mapped_column(
String, server_default="", comment="Father's name of the person"
)
mother_name: Mapped[str] = mapped_column(
String, server_default="", comment="Mother's name of the person"
)
country_code: Mapped[str] = mapped_column(
String(4), server_default="TR", comment="Country code of the person"
)
national_identity_id: Mapped[str] = mapped_column(
String, server_default="", comment="National identity ID of the person"
)
birth_place: Mapped[str] = mapped_column(
String, server_default="", comment="Birth place of the person"
)
birth_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True),
server_default="1900-01-01",
comment="Birth date of the person",
)
tax_no: Mapped[str] = mapped_column(
String, server_default="", comment="Tax number of the person"
)
# Receive at Create person
# language = mapped_column(
# String, comment="Language code of the person"
# )
# currency = mapped_column(
# String, comment="Currency code of the person"
# )
# ENCRYPT DATA
user = relationship(
"Users", back_populates="person", foreign_keys="Users.person_id"
)
__table_args__ = (
Index(
"person_ndx_001",
national_identity_id,
unique=True,
),
{"comment": "Person Information"},
)
@property
def full_name(self):
if self.middle_name:
return f"{self.firstname} {self.middle_name} {self.surname}"
return f"{self.firstname} {self.surname}"
class OccupantTypes(CrudCollection):
"""
Occupant Types class based on declarative_base and BaseMixin via session
"""
__tablename__ = "occupant_types"
__exclude__fields__ = []
occupant_type: Mapped[str] = mapped_column(
String, nullable=False, comment="Occupant Type"
)
occupant_description: Mapped[str] = mapped_column(String, server_default="")
occupant_code: Mapped[str] = mapped_column(String, server_default="")
occupant_category: Mapped[str] = mapped_column(String, server_default="")
occupant_category_type: Mapped[str] = mapped_column(String, server_default="")
occupant_is_unique: Mapped[bool] = mapped_column(Boolean, server_default="0")
__table_args__ = ({"comment": "Occupant Types Information"},)
class Contracts(CrudCollection):
"""
Contract class based on declarative_base and BaseMixin via session
"""
__tablename__ = "contracts"
__exclude__fields__ = []
contract_type: Mapped[str] = mapped_column(
String(5),
nullable=False,
comment="The code for personnel is P and the code for companies is C.",
)
contract_title: Mapped[str] = mapped_column(String(255))
contract_details: Mapped[str] = mapped_column(Text)
contract_terms: Mapped[str] = mapped_column(Text)
contract_code: Mapped[str] = mapped_column(
String(100),
nullable=False,
comment="contract_code is the unique code given by the system.",
)
contract_date: Mapped[TIMESTAMP] = mapped_column(
TIMESTAMP(timezone=True),
server_default="2099-12-31 23:59:59",
comment="contract date is the date the contract is made. "
"expire start is the start date of the contract, expire en is the end date of the contract.",
)
company_id: Mapped[int] = mapped_column(
Integer, ForeignKey("companies.id"), nullable=True
)
company_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="Company UUID"
)
person_id: Mapped[int] = mapped_column(
Integer, ForeignKey("people.id"), nullable=True
)
person_uu_id: Mapped[str] = mapped_column(
String, server_default="", comment="Person UUID"
)
@classmethod
def retrieve_contact_no(cls):
# todo When create record contract_code == below string
related_date, counter = Contracts.client_arrow.now(), 1
return (
f"{related_date.date().year}{str(cls.contract_type)}{str(counter).zfill(6)}"
)
__table_args__ = (
Index("_contract_ndx_01", contract_code, unique=True),
{"comment": "Contract Information"},
)
# @property
# def is_occupant(self):
# return not str(self.email).split("@")[1] == Auth.ACCESS_EMAIL_EXT
#
# @property
# def is_employee(self):
# return str(self.email).split("@")[1] == Auth.ACCESS_EMAIL_EXT
#
# @property
# def user_type(self):
# return "Occupant" if self.is_occupant else "Employee"
#
# @classmethod
# def credentials(cls):
# db_session = cls.new_session()
# person_object: People = People.filter_by_one(
# db=db_session, system=True, id=cls.person_id
# ).data
# if person_object:
# return {
# "person_id": person_object.id,
# "person_uu_id": str(person_object.uu_id),
# }
# return {
# "person_id": None,
# "person_uu_id": None,
# }
#
# @property
# def password_expiry_ends(self):
# """Calculates the expiry end date based on expiry begins and expires day"""
# return self.password_expiry_begins + timedelta(
# days=int(
# "".join(
# [
# _
# for _ in str(self.password_expires_day).split(",")[0]
# if _.isdigit()
# ]
# )
# )
# )
#
# @classmethod
# def create_action(cls, create_user: InsertUsers, token_dict):
# db_session = cls.new_session()
# found_person = People.filter_one(
# People.uu_id == create_user.people_uu_id,
# db=db_session,
# ).data
#
# if not found_person:
# raise HTTPException(status_code=400, detail="Person not found.")
# if (
# not any(i in str(create_user.email) for i in ["@", "."])
# and not len(str(create_user.phone_number)) >= 10
# ):
# raise HTTPException(
# status_code=400,
# detail="Please enter at least one valid email or phone number.",
# )
# if not create_user.avatar:
# create_user.avatar = ApiStatic.PLACEHOLDER
# create_dict = create_user.model_dump()
# del create_dict["people_uu_id"]
# create_dict["person_id"] = found_person.id
# create_dict["person_uu_id"] = str(found_person.uu_id)
# create_dict["related_company"] = token_dict.selected_company.company_uu_id
# created_user = cls.find_or_create(**create_dict)
# created_user.reset_password_token(found_user=created_user)
# return created_user
#
# def get_employee_and_duty_details(self):
# from ApiLayers.Schemas import Employees, Duties
#
# db_session = self.new_session()
# found_person = People.filter_one(
# People.id == self.person_id,
# db=db_session,
# )
# found_employees = Employees.filter_by_active(
# people_id=found_person.id, is_confirmed=True, db=db_session
# )
# found_duties = Duties.filter_all(
# Duties.is_confirmed == True,
# Duties.id.in_(
# list(found_employee.duty_id for found_employee in found_employees.data)
# ),
# db=db_session,
# )
# if not found_employees.count:
# raise HTTPException(
# status_code=401,
# detail={
# "message": "Person has no confirmed duty. No employee match please register "
# "your super admin",
# "completed": False,
# },
# )
# return {
# "duty_list": [
# {
# "duty_id": duty.id,
# "duty_uu_id": duty.uu_id.__str__(),
# "duty_code": duty.duty_code,
# "duty_name": duty.duty_name,
# "duty_description": duty.duty_description,
# }
# for duty in found_duties.data
# ],
# }
#
# def get_main_domain_and_other_domains(self, get_main_domain: bool = True):
# from ApiLayers.Schemas import MongoQueryIdentity
#
# query_engine = MongoQueryIdentity(company_uuid=self.related_company)
# domain_via_user = query_engine.get_domain_via_user(user_uu_id=str(self.uu_id))
# if not domain_via_user:
# raise HTTPException(
# status_code=401,
# detail="Domain not found. Please contact the admin.",
# )
# domain_via_user = domain_via_user[0]
# if get_main_domain:
# return domain_via_user.get("main_domain", None)
# return domain_via_user.get("other_domains_list", None)

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from schemas.base_imports import (
CrudCollection,
UUID,
String,
text,
mapped_column,
Mapped,
)
class ApiEnumDropdown(CrudCollection):
__tablename__ = "api_enum_dropdown"
__exclude__fields__ = ["enum_class"]
__language_model__ = None
id: Mapped[int] = mapped_column(primary_key=True)
uu_id: Mapped[str] = mapped_column(
UUID, server_default=text("gen_random_uuid()"), index=True, unique=True
)
enum_class: Mapped[str] = mapped_column(
String, nullable=False, comment="Enum Constant Name"
)
key: Mapped[str] = mapped_column(String, nullable=False, comment="Enum Key")
value: Mapped[str] = mapped_column(String, nullable=False, comment="Enum Value")
description: Mapped[str] = mapped_column(String, nullable=True)
__table_args__ = ({"comment": "Enum objets that are linked to tables"},)
@classmethod
def get_by_uuid(cls, uuid: str):
with cls.new_session() as db_session:
return cls.filter_by_one(uu_id=str(uuid), db=db_session).data
@classmethod
def get_debit_search(cls, search_debit: str = None, search_uu_id: str = None):
with cls.new_session() as db_session:
if search_uu_id:
if search := cls.filter_one_system(
cls.enum_class.in_(["DebitTypes"]),
cls.uu_id == search_uu_id,
db=db_session,
).data:
return search
elif search_debit:
if search := cls.filter_one(
cls.enum_class.in_(["DebitTypes"]),
cls.key == search_debit,
db=db_session,
).data:
return search
return cls.filter_all_system(
cls.enum_class.in_(["DebitTypes"]), db=db_session
).data
@classmethod
def get_due_types(cls):
with cls.new_session() as db_session:
if due_list := cls.filter_all_system(
cls.enum_class == "BuildDuesTypes",
cls.key.in_(["BDT-A", "BDT-D"]),
db=db_session,
).data:
return [due.uu_id.__str__() for due in due_list]
# raise HTTPException(
# status_code=404,
# detail="No dues types found",
# )
@classmethod
def due_type_search(cls, search_management: str = None, search_uu_id: str = None):
with cls.new_session() as db_session:
if search_uu_id:
if search := cls.filter_one_system(
cls.enum_class.in_(["BuildDuesTypes"]),
cls.uu_id == search_uu_id,
db=db_session,
).data:
return search
elif search_management:
if search := cls.filter_one_system(
cls.enum_class.in_(["BuildDuesTypes"]),
cls.key == search_management,
db=db_session,
).data:
return search
return cls.filter_all_system(
cls.enum_class.in_(["BuildDuesTypes"]), db=db_session
).data
def get_enum_dict(self):
return {
"uu_id": str(self.uu_id),
"enum_class": self.enum_class,
"key": self.key,
"value": self.value,
"description": self.description,
}
@classmethod
def uuid_of_enum(cls, enum_class: str, key: str):
with cls.new_session() as db_session:
return str(
getattr(
cls.filter_one_system(
cls.enum_class == enum_class, cls.key == key, db=db_session
).data,
"uu_id",
None,
)
)

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from schemas.base_imports import (
CrudCollection,
UUID,
String,
mapped_column,
Mapped,
Index,
)
class EndpointRestriction(CrudCollection):
"""
Initialize Endpoint Restriction with default values
"""
__tablename__ = "endpoint_restriction"
__exclude__fields__ = []
operation_uu_id: Mapped[UUID] = mapped_column(
String, comment="UUID of the operation", nullable=False, unique=True
)
endpoint_function: Mapped[str] = mapped_column(
String, comment="Function name of the API endpoint"
)
endpoint_name: Mapped[str] = mapped_column(
String, comment="Name of the API endpoint"
)
endpoint_method: Mapped[str] = mapped_column(
String, comment="HTTP method used by the endpoint"
)
endpoint_desc: Mapped[str] = mapped_column(
String, server_default="", comment="Description of the endpoint"
)
__table_args__ = (
Index("idx_endpoint_restriction_operation_uu_id", operation_uu_id, endpoint_method, endpoint_name, unique=True),
)

47
docker-compose.yml Normal file
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services:
# auth_service:
# container_name: auth_service
# build:
# context: .
# dockerfile: api_services/api_builds/auth-service/Dockerfile
# env_file:
# - api_env.env
# environment:
# - API_PATH=app:app
# - API_HOST=0.0.0.0
# - API_PORT=8001
# - API_LOG_LEVEL=info
# - API_RELOAD=1
# - API_APP_NAME=evyos-auth-api-gateway
# - API_TITLE=WAG API Auth Api Gateway
# - API_FORGOT_LINK=https://auth_service/forgot-password
# - API_DESCRIPTION=This api is serves as web auth api gateway only to evyos web services.
# - API_APP_URL=https://auth_service
# ports:
# - "8000:8000"
# restart: unless-stopped
# logging:
# driver: "json-file"
# options:
# max-size: "10m"
# max-file: "3"
initializer_service:
container_name: initializer_service
build:
context: .
dockerfile: api_services/api_builds/initial-service/Dockerfile
environment:
- SET_ALEMBIC=0
networks:
- wag-services
env_file:
- api_env.env
mem_limit: 512m
cpus: 0.5
networks:
wag-services:
driver: bridge

27
pyproject.toml Normal file
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[project]
name = "prod-wag-backend-automate-services"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"alembic>=1.15.2",
"arrow>=1.3.0",
"cryptography>=44.0.2",
"faker>=37.1.0",
"fastapi>=0.115.12",
"pandas>=2.2.3",
"prometheus-fastapi-instrumentator>=7.1.0",
"psycopg2-binary>=2.9.10",
"pydantic-settings>=2.8.1",
"pymongo>=4.11.3",
"pytest>=8.3.5",
"redbox>=0.2.1",
"redis>=5.2.1",
"redmail>=0.6.0",
"requests>=2.32.3",
"sqlalchemy-mixins>=2.0.5",
"textdistance>=4.6.3",
"unidecode>=1.3.8",
"uvicorn>=0.34.0",
]

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@ -0,0 +1,9 @@
endpoints_index: dict = {
"Slot1": "",
"Slot2": "",
"Slot3": "",
"Slot4": "",
"Slot5": "",
}

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from fastapi import APIRouter
def get_routes() -> list[APIRouter]:
return []
def get_safe_endpoint_urls() -> list[tuple[str, str]]:
return [
("/", "GET"),
("/docs", "GET"),
("/redoc", "GET"),
("/openapi.json", "GET"),
("/metrics", "GET"),
]

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events_index: dict = {
"Slot1": "",
"Slot2": "",
"Slot3": "",
"Slot4": "",
"Slot5": "",
}