перегоняем csv в бд, больше половины успешно пхпхпх
This commit is contained in:
parent
3fd4c5ccca
commit
66df83c2a5
7
.env
7
.env
@ -1,5 +1,10 @@
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DB_USER=postgres
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DB_PASSWORD=password
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DB_HOST=localhost
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DB_PORT=5432
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DB_NAME=test
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DATABASE=SuperService
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POSTGRES_USER=UserSuperService
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POSTGRES_PASSWORD=NotWarningWord1
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CLICKHOUSE_USER=UserMyHouse
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CLICKHOUSE_PASSWORD=NotWarningWord2
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CLICKHOUSE_PASSWORD=NotWarningWord2
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10
README.md
10
README.md
@ -55,8 +55,16 @@ docker exec -it clickhouse-db clickhouse-client -u UserMyHouse --password NotWar
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```
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USE SuperService;
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```
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## 7. Подключение к PostgreSQL
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## 8. Подключение к PostgreSQL
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Команда входа в ClickHouse
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```
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docker exec -it postgres-db psql -U UserSuperService -d SuperService
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```
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## 9. Миграция alembic
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```
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alembic revision --autogenerate
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```
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```
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alembic upgrade head
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```
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117
alembic.ini
Normal file
117
alembic.ini
Normal file
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# A generic, single database configuration.
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[alembic]
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# path to migration scripts
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# Use forward slashes (/) also on windows to provide an os agnostic path
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script_location = db/migrations
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# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
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# Uncomment the line below if you want the files to be prepended with date and time
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# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
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# for all available tokens
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# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
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# sys.path path, will be prepended to sys.path if present.
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# defaults to the current working directory.
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prepend_sys_path = . db
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# timezone to use when rendering the date within the migration file
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# as well as the filename.
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# If specified, requires the python>=3.9 or backports.zoneinfo library.
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# Any required deps can installed by adding `alembic[tz]` to the pip requirements
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# string value is passed to ZoneInfo()
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# leave blank for localtime
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# timezone =
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# max length of characters to apply to the "slug" field
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# truncate_slug_length = 40
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# set to 'true' to run the environment during
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# the 'revision' command, regardless of autogenerate
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# revision_environment = false
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# set to 'true' to allow .pyc and .pyo files without
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# a source .py file to be detected as revisions in the
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# versions/ directory
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# sourceless = false
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# version location specification; This defaults
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# to db/migrations/versions. When using multiple version
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# directories, initial revisions must be specified with --version-path.
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# The path separator used here should be the separator specified by "version_path_separator" below.
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# version_locations = %(here)s/bar:%(here)s/bat:db/migrations/versions
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# version path separator; As mentioned above, this is the character used to split
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# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep.
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# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas.
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# Valid values for version_path_separator are:
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#
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# version_path_separator = :
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# version_path_separator = ;
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# version_path_separator = space
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# version_path_separator = newline
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version_path_separator = os # Use os.pathsep. Default configuration used for new projects.
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# set to 'true' to search source files recursively
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# in each "version_locations" directory
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# new in Alembic version 1.10
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# recursive_version_locations = false
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# the output encoding used when revision files
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# are written from script.py.mako
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# output_encoding = utf-8
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sqlalchemy.url = driver://user:pass@localhost/dbname
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[post_write_hooks]
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# post_write_hooks defines scripts or Python functions that are run
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# on newly generated revision scripts. See the documentation for further
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# detail and examples
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# format using "black" - use the console_scripts runner, against the "black" entrypoint
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# hooks = black
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# black.type = console_scripts
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# black.entrypoint = black
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# black.options = -l 79 REVISION_SCRIPT_FILENAME
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# lint with attempts to fix using "ruff" - use the exec runner, execute a binary
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# hooks = ruff
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# ruff.type = exec
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# ruff.executable = %(here)s/.venv/bin/ruff
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# ruff.options = --fix REVISION_SCRIPT_FILENAME
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# Logging configuration
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[loggers]
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keys = root,sqlalchemy,alembic
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[handlers]
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keys = console
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[formatters]
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keys = generic
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[logger_root]
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level = WARN
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handlers = console
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qualname =
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[logger_sqlalchemy]
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level = WARN
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handlers =
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qualname = sqlalchemy.engine
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[logger_alembic]
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level = INFO
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handlers =
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qualname = alembic
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[handler_console]
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class = StreamHandler
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args = (sys.stderr,)
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level = NOTSET
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formatter = generic
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[formatter_generic]
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format = %(levelname)-5.5s [%(name)s] %(message)s
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datefmt = %H:%M:%S
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10
db/config.py
10
db/config.py
@ -7,12 +7,22 @@ class Settings(BaseSettings):
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DB_HOST: str
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DB_PORT: int
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DB_NAME: str
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DATABASE: str
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POSTGRES_USER: str
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POSTGRES_PASSWORD: str
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CLICKHOUSE_USER: str
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CLICKHOUSE_PASSWORD: str
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@property
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def db_url_asyncpg(self):
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# 'postgresql+asyncpg://username:password@localhost:5432/database_name'
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return f'postgresql+asyncpg://{self.DB_USER}:{self.DB_PASSWORD}@{self.DB_HOST}:{self.DB_PORT}/{self.DB_NAME}'
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@property
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def db_url_asyncpg_docker(self):
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# 'postgresql+asyncpg://username:password@localhost:5432/database_name'
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return f'postgresql+asyncpg://{self.POSTGRES_USER}:{self.POSTGRES_PASSWORD}@db:{self.DB_PORT}/{self.DATABASE}'
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model_config = SettingsConfigDict(env_file='../.env')
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@ -1,10 +1,56 @@
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import pandas as pd
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from sqlalchemy.ext.asyncio import create_async_engine, async_sessionmaker
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from sqlalchemy import insert
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from db.config import settings
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from db.models.base import Base
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from db.models.experiment_data_model import ExperimentData
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from db.models.experiment_parameters_model import ExperimentParameters
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from db.models.load_parameters_model import LoadParameters
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from db.models.recycling_parameters_model import RecyclingParameters
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import asyncio
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engine = create_async_engine(url=settings.db_url_asyncpg, echo=True)
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async_session = async_sessionmaker(engine)
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df = pd.read_csv('./files/recycling_parameters.csv')
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headers = df.columns.tolist()
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print(headers)
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for header in headers:
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column_type = df[header].dtype
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print(column_type)
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async def create_all_tables():
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async with engine.begin() as conn:
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await conn.run_sync(Base.metadata.create_all)
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async def drop_all_tables():
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async with engine.begin() as conn:
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await conn.run_sync(Base.metadata.drop_all)
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async def load_data_to_db(file: str, model_class):
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async with async_session() as session:
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df = pd.read_csv(file).dropna()
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# Преобразование данных из DataFrame в формат, подходящий для SQLAlchemy
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data_records = df.to_dict(orient='records')
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# Пакетная вставка всех записей
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stmt = insert(model_class).values(data_records)
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await session.execute(stmt)
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await session.commit()
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async def main():
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# await drop_all_tables()
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# await create_all_tables()
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await load_data_to_db('./files/experiment_data.csv', ExperimentData)
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# await load_data_to_db('./files/load_parameters.csv', LoadParameters)
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# await load_data_to_db('./files/recycling_parameters.csv', RecyclingParameters)
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# await load_data_to_db('./files/experiment_parameters.csv', ExperimentParameters)
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if __name__ == '__main__':
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asyncio.run(main())
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# df = pd.read_csv('./files/experiment_data.csv')
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# headers = df.columns.tolist()
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# print(headers)
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#
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# for header in headers:
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# column_type = df[header].dtype
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# print(column_type)
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74
db/migrations/env.py
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74
db/migrations/env.py
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from logging.config import fileConfig
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from sqlalchemy import engine_from_config
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from sqlalchemy import pool
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from alembic import context
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from db.config import settings
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from db.models.experiment_data_model import ExperimentData
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from db.models.experiment_parameters_model import ExperimentParameters
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from db.models.load_parameters_model import LoadParameters
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from db.models.recycling_parameters_model import RecyclingParameters
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from db.models.base import Base
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config = context.config
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if config.config_file_name is not None:
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fileConfig(config.config_file_name)
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config.set_main_option('sqlalchemy.url', settings.db_url_asyncpg + '?async_fallback=True')
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target_metadata = Base.metadata
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def run_migrations_offline() -> None:
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"""Run migrations in 'offline' mode.
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This configures the context with just a URL
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and not an Engine, though an Engine is acceptable
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here as well. By skipping the Engine creation
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we don't even need a DBAPI to be available.
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Calls to context.execute() here emit the given string to the
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script output.
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"""
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url = config.get_main_option("sqlalchemy.url")
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context.configure(
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url=url,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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)
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online() -> None:
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"""Run migrations in 'online' mode.
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In this scenario we need to create an Engine
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and associate a connection with the context.
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"""
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connectable = engine_from_config(
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config.get_section(config.config_ini_section, {}),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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context.configure(
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connection=connection, target_metadata=target_metadata
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)
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with context.begin_transaction():
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context.run_migrations()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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26
db/migrations/script.py.mako
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26
db/migrations/script.py.mako
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"""${message}
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Revision ID: ${up_revision}
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Revises: ${down_revision | comma,n}
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Create Date: ${create_date}
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"""
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from typing import Sequence, Union
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from alembic import op
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import sqlalchemy as sa
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${imports if imports else ""}
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# revision identifiers, used by Alembic.
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revision: str = ${repr(up_revision)}
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down_revision: Union[str, None] = ${repr(down_revision)}
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branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
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depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
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def upgrade() -> None:
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${upgrades if upgrades else "pass"}
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def downgrade() -> None:
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${downgrades if downgrades else "pass"}
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from data_base.db import Base
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from db.models.base import Base
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from sqlalchemy.orm import Mapped, mapped_column
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class ChExperimentDBExperimentData(Base):
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from base import Base
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from typing import Optional
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from db.models.base import Base
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from sqlalchemy.orm import Mapped, mapped_column
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class ExperimentData(Base):
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__tablename__ = 'experiment_data'
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id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
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id: Mapped[int] = mapped_column(primary_key=True)
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direction: Mapped[float]
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temperature: Mapped[float]
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nox: Mapped[float]
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co2: Mapped[float]
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co: Mapped[float]
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file_id: Mapped[str]
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file_id: Mapped[Optional[str]]
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def __repr__(self):
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return f"<ExperimentData>"
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from sqlalchemy import ForeignKey
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from base import Base
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from db.models.base import Base
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from sqlalchemy.orm import Mapped, mapped_column
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class ExperimentParameters(Base):
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__tablename__ = 'experiment_parameters'
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id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
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id: Mapped[int] = mapped_column(primary_key=True)
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outer_blades_count: Mapped[int]
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outer_blades_length: Mapped[float]
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outer_blades_angle: Mapped[float]
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middle_blades_count: Mapped[int]
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# load_id: Mapped[int]
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load_id: Mapped[Optional[int]] = mapped_column(ForeignKey('load_parameters.id', ondelete='SET NULL'))
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recycling_id: Mapped[Optional[int]] = mapped_column(ForeignKey('recycling_parameters.id', ondelete='SET NULL'))
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experiment_hash: Mapped[str]
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from base import Base
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from db.models.base import Base
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from sqlalchemy.orm import Mapped, mapped_column
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class LoadParameters(Base):
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__tablename__ = 'load_parameters'
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id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
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id: Mapped[int] = mapped_column(primary_key=True)
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load: Mapped[int]
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primary_air_consumption: Mapped[float]
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secondary_air_consumption: Mapped[float]
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from sqlalchemy import ForeignKey
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from base import Base
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from db.models.base import Base
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from sqlalchemy.orm import Mapped, mapped_column
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class RecyclingParameters(Base):
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__tablename__ = 'recycling_parameters'
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id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True)
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id: Mapped[int] = mapped_column(primary_key=True)
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load_id: Mapped[Optional[int]] = mapped_column(ForeignKey('load_parameters.id', ondelete='SET NULL'))
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recycling_level: Mapped[int]
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co2: Mapped[float]
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9
main.py
9
main.py
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return {"status": "success", "message": "Experiment started successfully."}
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}")
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@app.post('/init_db_data')
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def init_db_data():
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try:
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return {"status": "success", "message": "Experiment started successfully."}
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"An error occurred: {str(e)}")
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Reference in New Issue
Block a user