add db migrations
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2025-11-20 22:49:12 +08:00
parent 32d15e8c92
commit 3d62df27cd
12 changed files with 440 additions and 6 deletions

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@ -3,4 +3,6 @@
.gitignore
Readme.md
Dockerfile
docker-compose.yml
docker-compose.yml
alembic.ini
migrations

11
.env
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@ -9,8 +9,11 @@ LOG_LEVEL=DEBUG
LOG_TYPE=console
# 数据库配置
DB_HOST=localhost
DB_PORT=5432
DB_HOST=192.168.1.200
DB_PORT=19732
DB_USER=postgres
DB_PASS=123456
DB_NAME=mydb
DB_PASS=postgres
DB_NAME=meme
# 阿里云百炼服务API密钥
DASHSCOPE_API_KEY=sk-88d6437a6c224ccbb761ec7d994e3b34

147
alembic.ini Normal file
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# A generic, single database configuration.
[alembic]
# path to migration scripts.
# this is typically a path given in POSIX (e.g. forward slashes)
# format, relative to the token %(here)s which refers to the location of this
# ini file
script_location = %(here)s/migrations
# 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. for multiple paths, the path separator
# is defined by "path_separator" below.
prepend_sys_path = .
# timezone to use when rendering the date within the migration file
# as well as the filename.
# If specified, requires the tzdata library which can be 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 <script_location>/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 "path_separator"
# below.
# version_locations = %(here)s/bar:%(here)s/bat:%(here)s/alembic/versions
# path_separator; This indicates what character is used to split lists of file
# paths, including version_locations and prepend_sys_path within configparser
# files such as alembic.ini.
# The default rendered in new alembic.ini files is "os", which uses os.pathsep
# to provide os-dependent path splitting.
#
# Note that in order to support legacy alembic.ini files, this default does NOT
# take place if path_separator is not present in alembic.ini. If this
# option is omitted entirely, fallback logic is as follows:
#
# 1. Parsing of the version_locations option falls back to using the legacy
# "version_path_separator" key, which if absent then falls back to the legacy
# behavior of splitting on spaces and/or commas.
# 2. Parsing of the prepend_sys_path option falls back to the legacy
# behavior of splitting on spaces, commas, or colons.
#
# Valid values for path_separator are:
#
# path_separator = :
# path_separator = ;
# path_separator = space
# path_separator = newline
#
# Use os.pathsep. Default configuration used for new projects.
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
# database URL. This is consumed by the user-maintained env.py script only.
# other means of configuring database URLs may be customized within the env.py
# file.
sqlalchemy.url = postgresql+psycopg://postgres:postgres@192.168.1.200:19732/meme
[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 module runner, against the "ruff" module
# hooks = ruff
# ruff.type = module
# ruff.module = ruff
# ruff.options = check --fix REVISION_SCRIPT_FILENAME
# Alternatively, use the exec runner to execute a binary found on your PATH
# hooks = ruff
# ruff.type = exec
# ruff.executable = ruff
# ruff.options = check --fix REVISION_SCRIPT_FILENAME
# Logging configuration. This is also consumed by the user-maintained
# env.py script only.
[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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@ -24,6 +24,9 @@ class Settings(BaseSettings):
DB_PASS: str
DB_NAME: str
# 阿里云百炼服务API密钥
DASHSCOPE_API_KEY: str
class Config:
env_file = ".env"
env_file_encoding = "utf-8"

29
llm/deepseek.py Normal file
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@ -0,0 +1,29 @@
from openai import OpenAI
import os
from config.settings import settings
client = OpenAI(
# 如果没有配置环境变量请用阿里云百炼API Key替换api_key="sk-xxx"
api_key=settings.DASHSCOPE_API_KEY,
base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
messages = [{"role": "user", "content": "你是谁"}]
completion = client.chat.completions.create(
model="deepseek-v3.2-exp", # 您可以按需更换为其它深度思考模型
messages=messages,
extra_body={"enable_thinking": True},
stream=True
)
is_answering = False # 是否进入回复阶段
print("\n" + "=" * 20 + "思考过程" + "=" * 20)
for chunk in completion:
delta = chunk.choices[0].delta
if hasattr(delta, "reasoning_content") and delta.reasoning_content is not None:
if not is_answering:
print(delta.reasoning_content, end="", flush=True)
if hasattr(delta, "content") and delta.content:
if not is_answering:
print("\n" + "=" * 20 + "完整回复" + "=" * 20)
is_answering = True
print(delta.content, end="", flush=True)

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migrations/README Normal file
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Generic single-database configuration.

81
migrations/env.py Normal file
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from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from alembic import context
from models.base import Base
import models.script # noqa: F401 to ensure the model is imported
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# 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)
# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
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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migrations/script.py.mako Normal file
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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, Sequence[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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"""create table t_script
Revision ID: 330873df4e1d
Revises: 4b57e6113ae1
Create Date: 2025-11-20 22:15:57.197011
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision: str = '330873df4e1d'
down_revision: Union[str, Sequence[str], None] = '4b57e6113ae1'
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
"""Upgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('t_script',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False, comment='自动递增的唯一内容ID'),
sa.Column('project', sa.String(length=64), nullable=False, comment='项目名称'),
sa.Column('subject', sa.String(length=256), nullable=False, comment='主题'),
sa.Column('content', sa.Text(), nullable=True, comment='内容'),
sa.Column('create_time', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False, comment='创建时间'),
sa.Column('update_time', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False, comment='更新时间'),
sa.PrimaryKeyConstraint('id')
)
op.create_index(op.f('ix_t_script_project'), 't_script', ['project'], unique=False)
op.create_index('ux_project_subject', 't_script', ['project', 'subject'], unique=True)
# ### end Alembic commands ###
def downgrade() -> None:
"""Downgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index('ux_project_subject', table_name='t_script')
op.drop_index(op.f('ix_t_script_project'), table_name='t_script')
op.drop_table('t_script')
# ### end Alembic commands ###

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"""init tables
Revision ID: 4b57e6113ae1
Revises:
Create Date: 2025-11-20 22:07:59.558088
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision: str = '4b57e6113ae1'
down_revision: Union[str, Sequence[str], None] = None
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
"""Upgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index(op.f('ix_apscheduler_jobs_next_run_time'), table_name='apscheduler_jobs')
op.drop_table('apscheduler_jobs')
# ### end Alembic commands ###
def downgrade() -> None:
"""Downgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.create_table('apscheduler_jobs',
sa.Column('id', sa.VARCHAR(length=191), autoincrement=False, nullable=False),
sa.Column('next_run_time', sa.DOUBLE_PRECISION(precision=53), autoincrement=False, nullable=True),
sa.Column('job_state', postgresql.BYTEA(), autoincrement=False, nullable=False),
sa.PrimaryKeyConstraint('id', name=op.f('apscheduler_jobs_pkey'))
)
op.create_index(op.f('ix_apscheduler_jobs_next_run_time'), 'apscheduler_jobs', ['next_run_time'], unique=False)
# ### end Alembic commands ###

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models/script.py Normal file
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from datetime import datetime
from sqlalchemy.orm import Mapped, mapped_column
from sqlalchemy import String, Text, Integer, DateTime, Index, func
from models.base import Base
class Script(Base):
__tablename__ = "t_script"
id: Mapped[int] = mapped_column(
Integer,
primary_key=True,
autoincrement=True,
comment="自动递增的唯一内容ID"
)
project: Mapped[str] = mapped_column(
String(64),
nullable=False,
index=True,
comment="项目名称"
)
subject: Mapped[str] = mapped_column(
String(256),
nullable=False,
comment="主题"
)
content: Mapped[str | None] = mapped_column(
Text,
nullable=True,
comment="内容"
)
create_time: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
nullable=False,
comment="创建时间"
)
update_time: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
server_default=func.now(),
onupdate=func.now(),
nullable=False,
comment="更新时间"
)
# ——可选优化:添加 项目 + 主题 联合唯一索引——
__table_args__ = (
Index("ux_project_subject", "project", "subject", unique=True),
)
def __repr__(self):
return f"<Script id={self.id} project={self.project!r} subject={self.subject!r}>"

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@ -25,7 +25,7 @@ def create_scheduler():
}
scheduler = BackgroundScheduler(
# jobstores=job_stores,
jobstores=job_stores,
executors=executors,
job_defaults=job_defaults,
timezone=settings.TIMEZONE,