mirror of
https://github.com/csunny/DB-GPT.git
synced 2026-07-16 17:15:22 +00:00
fix: fix example use and pilot file mount
This commit is contained in:
alan.cl
@@ -1,6 +1,6 @@
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[project]
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name = "dbgpt-acc-auto"
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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description = "Add your description here"
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authors = [
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{ name = "csunny", email = "cfqcsunny@gmail.com" }
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@@ -1 +1 @@
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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@@ -2,7 +2,7 @@
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# https://github.com/astral-sh/uv/issues/2252#issuecomment-2624150395
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[project]
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name = "dbgpt-acc-flash-attn"
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.10"
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@@ -1 +1 @@
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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@@ -1,6 +1,6 @@
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[project]
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name = "dbgpt-app"
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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description = "Add your description here"
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authors = [
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{ name = "csunny", email = "cfqcsunny@gmail.com" }
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@@ -65,20 +65,38 @@ exclude = [
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]
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[tool.hatch.build.targets.sdist.force-include]
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# Builtin skills
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"../../skills/csv-data-analysis" = "skills/csv-data-analysis"
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"../../skills/skill-creator" = "skills/skill-creator"
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"../../skills/financial-report-analyzer" = "skills/financial-report-analyzer"
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"../../skills/walmart-sales-analyzer" = "skills/walmart-sales-analyzer"
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"../../skills/agent-browser" = "skills/agent-browser"
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# Builtin example files
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"../../docker/examples/excel/Walmart_Sales.csv" = "examples/excel/Walmart_Sales.csv"
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"../../docker/examples/fin_report/pdf/2020-01-23__浙江海翔药业股份有限公司__002099__海翔药业__2019年__年度报告.pdf" = "examples/fin_report/pdf/2020-01-23__浙江海翔药业股份有限公司__002099__海翔药业__2019年__年度报告.pdf"
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# Pilot workspace template files (source of truth: pilot/)
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"../../pilot/meta_data/alembic.ini" = "pilot_tpl/meta_data/alembic.ini"
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"../../pilot/meta_data/alembic/README" = "pilot_tpl/meta_data/alembic/README"
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"../../pilot/meta_data/alembic/env.py" = "pilot_tpl/meta_data/alembic/env.py"
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"../../pilot/meta_data/alembic/script.py.mako" = "pilot_tpl/meta_data/alembic/script.py.mako"
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"../../pilot/benchmark_meta_data/2025_07_27_public_500_standard_benchmark_question_list.xlsx" = "pilot_tpl/benchmark_meta_data/2025_07_27_public_500_standard_benchmark_question_list.xlsx"
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"../../pilot/examples/Walmart_Sales.db" = "pilot_tpl/examples/Walmart_Sales.db"
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[tool.hatch.build.targets.wheel.force-include]
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# Builtin skills
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"skills/csv-data-analysis" = "dbgpt_app/_builtin_skills/csv-data-analysis"
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"skills/skill-creator" = "dbgpt_app/_builtin_skills/skill-creator"
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"skills/financial-report-analyzer" = "dbgpt_app/_builtin_skills/financial-report-analyzer"
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"skills/walmart-sales-analyzer" = "dbgpt_app/_builtin_skills/walmart-sales-analyzer"
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"skills/agent-browser" = "dbgpt_app/_builtin_skills/agent-browser"
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# Builtin example files
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"examples/excel/Walmart_Sales.csv" = "dbgpt_app/_builtin_examples/excel/Walmart_Sales.csv"
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"examples/fin_report/pdf/2020-01-23__浙江海翔药业股份有限公司__002099__海翔药业__2019年__年度报告.pdf" = "dbgpt_app/_builtin_examples/fin_report/pdf/2020-01-23__浙江海翔药业股份有限公司__002099__海翔药业__2019年__年度报告.pdf"
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# Pilot workspace template files (provisioned to ~/.dbgpt/workspace/pilot/ on first startup)
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"pilot_tpl/meta_data/alembic.ini" = "dbgpt_app/pilot_template/meta_data/alembic.ini"
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"pilot_tpl/meta_data/alembic/README" = "dbgpt_app/pilot_template/meta_data/alembic/README"
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"pilot_tpl/meta_data/alembic/env.py" = "dbgpt_app/pilot_template/meta_data/alembic/env.py"
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"pilot_tpl/meta_data/alembic/script.py.mako" = "dbgpt_app/pilot_template/meta_data/alembic/script.py.mako"
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"pilot_tpl/benchmark_meta_data/2025_07_27_public_500_standard_benchmark_question_list.xlsx" = "dbgpt_app/pilot_template/benchmark_meta_data/2025_07_27_public_500_standard_benchmark_question_list.xlsx"
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"pilot_tpl/examples/Walmart_Sales.db" = "dbgpt_app/pilot_template/examples/Walmart_Sales.db"
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@@ -1 +1 @@
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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@@ -1,81 +0,0 @@
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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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script_location = alembic
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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 = .
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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-dateutil library that can be
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# installed by adding `alembic[tz]` to the pip requirements
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# string value is passed to dateutil.tz.gettz()
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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
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# "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 alembic/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:alembic/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 = 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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@@ -1 +0,0 @@
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Generic single-database configuration.
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@@ -1,74 +0,0 @@
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from alembic import context
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from dbgpt.storage.metadata.db_manager import db
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# this is the Alembic Config object, which provides
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# access to the values within the .ini file in use.
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config = context.config
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# add your model's MetaData object here
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# for 'autogenerate' support
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# from myapp import mymodel
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# other values from the config, defined by the needs of env.py,
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# can be acquired:
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# my_important_option = config.get_main_option("my_important_option")
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# ... etc.
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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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target_metadata = db.metadata
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url = config.get_main_option("sqlalchemy.url")
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assert target_metadata is not None
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assert url is not None
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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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engine = db.engine
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target_metadata = db.metadata
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with engine.connect() as connection:
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if engine.dialect.name == "sqlite":
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context.configure(
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connection=engine.connect(),
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target_metadata=target_metadata,
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render_as_batch=True,
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)
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else:
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context.configure(connection=connection, target_metadata=target_metadata)
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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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@@ -1,26 +0,0 @@
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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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@@ -1,6 +1,6 @@
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[project]
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name = "dbgpt-client"
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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description = "Add your description here"
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authors = [
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{ name = "csunny", email = "cfqcsunny@gmail.com" }
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@@ -1 +1 @@
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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@@ -1,6 +1,6 @@
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[project]
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name = "dbgpt"
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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description = """DB-GPT is an experimental open-source project that uses localized GPT \
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large models to interact with your data and environment. With this solution, you can be\
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assured that there is no risk of data leakage, and your data is 100% private and secure.\
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@@ -1 +1 @@
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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@@ -1,6 +1,6 @@
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[project]
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name = "dbgpt-ext"
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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description = "Add your description here"
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authors = [
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{ name = "csunny", email = "cfqcsunny@gmail.com" }
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@@ -1 +1 @@
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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@@ -1,6 +1,6 @@
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[project]
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name = "dbgpt-sandbox"
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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description = "A secure sandbox execution environment for DB-GPT Agent"
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authors = [
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{ name = "csunny", email = "cfqcsunny@gmail.com" }
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@@ -1,6 +1,6 @@
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[project]
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name = "dbgpt-serve"
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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description = "Add your description here"
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authors = [
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{ name = "csunny", email = "cfqcsunny@gmail.com" }
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@@ -1 +1 @@
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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@@ -1,6 +1,6 @@
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[project]
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name = "dbgpt-mono"
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version = "0.8.0rc5"
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version = "0.8.0rc6"
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description = """DB-GPT is an experimental open-source project that uses localized GPT \
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large models to interact with your data and environment. With this solution, you can be\
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assured that there is no risk of data leakage, and your data is 100% private and secure.\
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