chore: import upstream snapshot with attribution
Continuous Integration / Pre-commit Linter (push) Has been cancelled
Continuous Integration / Mypy Check (Python 3.10) (push) Has been cancelled
Continuous Integration / Mypy Check (Python 3.11) (push) Has been cancelled
Continuous Integration / Mypy Check (Python 3.12) (push) Has been cancelled
Continuous Integration / Mypy Check (Python 3.13) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.10) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.11) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.12) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.13) (push) Has been cancelled
Continuous Integration / Unit Tests (Python 3.14) (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.10) (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.11) (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.12) (push) Has been cancelled
Copybara PR Handler / close-imported-pr (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.13) (push) Has been cancelled
Continuous Integration / A2A v0.3 Tests (Python 3.14) (push) Has been cancelled

This commit is contained in:
wehub-resource-sync
2026-07-13 13:25:13 +08:00
commit ec2b666284
2231 changed files with 491535 additions and 0 deletions
@@ -0,0 +1,56 @@
# Loading and Upgrading Old Session Databases
This example demonstrates how to upgrade a session database created with an older version of ADK to be compatible with the current version.
## Sample Database
This sample includes `dnd_sessions.db`, a database created with ADK v1.15.0. The following steps show how to run into a schema error and then resolve it using the migration script.
## 1. Reproduce the Error
First, copy the old database to `sessions.db`, which is the file the sample application expects.
```bash
cp dnd_sessions.db sessions.db
python main.py
```
Running the application against the old database will fail with a schema mismatch error, as the `events` table is missing a column required by newer ADK versions:
```
sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) no such column: events.usage_metadata
```
## 2. Upgrade the Database Schema
ADK provides a migration script to update the database schema. Run the following command to download and execute it.
```bash
# Clean up the previous run before executing the migration
cp dnd_sessions.db sessions.db
# Download and run the migration script
curl -fsSL https://raw.githubusercontent.com/google/adk-python/main/scripts/db_migration.sh | sh -s -- "sqlite:///%(here)s/sessions.db" "google.adk.sessions.database_session_service"
```
This script uses `alembic` to compare the existing schema against the current model definition and automatically generates and applies the necessary migrations.
**Note on generated files:**
- The script will create an `alembic.ini` file and an `alembic/` directory. You must delete these before re-running the script.
- The `sample-output` directory in this example contains a reference of the generated files for your inspection.
- The `%(here)s` variable in the database URL is an `alembic` placeholder that refers to the current directory.
## 3. Run the Agent Successfully
With the database schema updated, the application can now load the session correctly.
```bash
python main.py
```
You should see output indicating that the old session was successfully loaded.
## Limitations
The migration script is designed to add new columns that have been introduced in newer ADK versions. It does not handle more complex schema changes, such as modifying a column's data type (e.g., from `int` to `string`) or altering the internal structure of stored data.
@@ -0,0 +1,16 @@
# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from . import agent
@@ -0,0 +1,88 @@
# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import random
from google.adk.agents.llm_agent import Agent
def roll_die(sides: int) -> int:
"""Roll a die and return the rolled result.
Args:
sides: The integer number of sides the die has.
Returns:
An integer of the result of rolling the die.
"""
return random.randint(1, sides)
async def check_prime(nums: list[int]) -> str:
"""Check if a given list of numbers are prime.
Args:
nums: The list of numbers to check.
Returns:
A str indicating which number is prime.
"""
primes = set()
for number in nums:
number = int(number)
if number <= 1:
continue
is_prime = True
for i in range(2, int(number**0.5) + 1):
if number % i == 0:
is_prime = False
break
if is_prime:
primes.add(number)
return (
"No prime numbers found."
if not primes
else f"{', '.join(str(num) for num in primes)} are prime numbers."
)
root_agent = Agent(
name="migrate_session_db_agent",
description=(
"hello world agent that can roll a dice of 8 sides and check prime"
" numbers."
),
instruction="""
You roll dice and answer questions about the outcome of the dice rolls.
You can roll dice of different sizes.
You can use multiple tools in parallel by calling functions in parallel(in one request and in one round).
It is ok to discuss previous dice roles, and comment on the dice rolls.
When you are asked to roll a die, you must call the roll_die tool with the number of sides. Be sure to pass in an integer. Do not pass in a string.
You should never roll a die on your own.
When checking prime numbers, call the check_prime tool with a list of integers. Be sure to pass in a list of integers. You should never pass in a string.
You should not check prime numbers before calling the tool.
When you are asked to roll a die and check prime numbers, you should always make the following two function calls:
1. You should first call the roll_die tool to get a roll. Wait for the function response before calling the check_prime tool.
2. After you get the function response from roll_die tool, you should call the check_prime tool with the roll_die result.
2.1 If user asks you to check primes based on previous rolls, make sure you include the previous rolls in the list.
3. When you respond, you must include the roll_die result from step 1.
You should always perform the previous 3 steps when asking for a roll and checking prime numbers.
You should not rely on the previous history on prime results.
""",
tools=[
roll_die,
check_prime,
],
)
@@ -0,0 +1,79 @@
# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import asyncio
import time
import agent
from dotenv import load_dotenv
from google.adk.artifacts.in_memory_artifact_service import InMemoryArtifactService
from google.adk.cli.utils import logs
from google.adk.runners import Runner
from google.adk.sessions.database_session_service import DatabaseSessionService
from google.adk.sessions.session import Session
from google.genai import types
load_dotenv(override=True)
logs.log_to_tmp_folder()
async def main():
app_name = 'migrate_session_db_app'
user_id_1 = 'user1'
session_service = DatabaseSessionService('sqlite+aiosqlite:///./sessions.db')
artifact_service = InMemoryArtifactService()
runner = Runner(
app_name=app_name,
agent=agent.root_agent,
artifact_service=artifact_service,
session_service=session_service,
)
session_11 = await session_service.get_session(
app_name=app_name,
user_id=user_id_1,
session_id='aee03f34-32ef-432b-b1bb-e66a3a79dd5b',
)
print('Session 11 loaded:', session_11.id)
async def run_prompt(session: Session, new_message: str):
content = types.Content(
role='user', parts=[types.Part.from_text(text=new_message)]
)
print('** User says:', content.model_dump(exclude_none=True))
async for event in runner.run_async(
user_id=user_id_1,
session_id=session.id,
new_message=content,
):
if event.content.parts and event.content.parts[0].text:
print(f'** {event.author}: {event.content.parts[0].text}')
start_time = time.time()
print('Start time:', start_time)
print('------------------------------------')
await run_prompt(session_11, 'Hi, introduce yourself.')
await run_prompt(
session_11, 'Roll a die with 100 sides and check if it is prime'
)
await run_prompt(session_11, 'Roll it again.')
await run_prompt(session_11, 'What numbers did I got?')
end_time = time.time()
print('------------------------------------')
print('End time:', end_time)
print('Total time:', end_time - start_time)
if __name__ == '__main__':
asyncio.run(main())
@@ -0,0 +1,147 @@
# 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/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. 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 python>=3.10 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 <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 = sqlite:///%(here)s/sessions.db
[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
@@ -0,0 +1 @@
Generic single-database configuration.
@@ -0,0 +1,90 @@
# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from logging.config import fileConfig
from alembic import context
from sqlalchemy import engine_from_config
from sqlalchemy import pool
# 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 google.adk.sessions.database_session_service import Base
# 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()
@@ -0,0 +1,28 @@
"""${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"}