chore: Add PyPI package support for uvx/pip installation (#1764)

* Initial plan

* Add package structure and resource path utilities

- Created langbot/ package with __init__.py and __main__.py entry point
- Added paths utility to find frontend and resource files from package installation
- Updated config loading to use resource paths
- Updated frontend serving to use resource paths
- Added MANIFEST.in for package data inclusion
- Updated pyproject.toml with build system and entry points

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Add PyPI publishing workflow and update license

- Created GitHub Actions workflow to build frontend and publish to PyPI
- Added license field to pyproject.toml to fix deprecation warning
- Updated .gitignore to exclude build artifacts
- Tested package building successfully

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Add PyPI installation documentation

- Created PYPI_INSTALLATION.md with detailed installation and usage instructions
- Updated README.md to feature uvx/pip installation as recommended method
- Updated README_EN.md with same changes for English documentation

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Address code review feedback

- Made package-data configuration more specific to langbot package only
- Improved path detection with caching to avoid repeated file I/O
- Removed sys.path searching which was incorrect for package data
- Removed interactive input() call for non-interactive environment compatibility
- Simplified error messages for version check

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Fix code review issues

- Use specific exception types instead of bare except
- Fix misleading comments about directory levels
- Remove redundant existence check before makedirs with exist_ok=True
- Use context manager for file opening to ensure proper cleanup

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* Simplify package configuration and document behavioral differences

- Removed redundant package-data configuration, relying on MANIFEST.in
- Added documentation about behavioral differences between package and source installation
- Clarified that include-package-data=true uses MANIFEST.in for data files

Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>

* chore: update pyproject.toml

* chore: try pack templates in langbot/

* chore: update

* chore: update

* chore: update

* chore: update

* chore: update

* chore: adjust dir structure

* chore: fix imports

* fix: read default-pipeline-config.json

* fix: read default-pipeline-config.json

* fix: tests

* ci: publish pypi

* chore: bump version 4.6.0-beta.1 for testing

* chore: add templates/**

* fix: send adapters and requesters icons

* chore: bump version 4.6.0b2 for testing

* chore: add platform field for docker-compose.yaml

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>
This commit is contained in:
Copilot
2025-11-16 19:53:01 +08:00
committed by GitHub
parent 6a24c951e0
commit e642ffa5b3
477 changed files with 1001 additions and 1002 deletions
@@ -0,0 +1,97 @@
from __future__ import annotations
import os
import traceback
from . import strategy
from .. import stage, entities
import langbot_plugin.api.entities.builtin.platform.message as platform_message
from ...utils import importutil
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
from . import strategies
importutil.import_modules_in_pkg(strategies)
@stage.stage_class('LongTextProcessStage')
class LongTextProcessStage(stage.PipelineStage):
"""Long message processing stage
Rewrite:
- resp_message_chain
"""
strategy_impl: strategy.LongTextStrategy | None
async def initialize(self, pipeline_config: dict):
config = pipeline_config['output']['long-text-processing']
if config['strategy'] == 'none':
self.strategy_impl = None
return
if config['strategy'] == 'image':
use_font = config['font-path']
try:
# 检查是否存在
if not os.path.exists(use_font):
# 若是windows系统,使用微软雅黑
if os.name == 'nt':
use_font = 'C:/Windows/Fonts/msyh.ttc'
if not os.path.exists(use_font):
self.ap.logger.warn(
'Font file not found, and Windows system font cannot be used, switch to forward message component to send long messages, you can adjust the related settings in the configuration file.'
)
config['blob_message_strategy'] = 'forward'
else:
self.ap.logger.info('Using Windows system font: ' + use_font)
config['font-path'] = use_font
else:
self.ap.logger.warn(
'Font file not found, and system font cannot be used, switch to forward message component to send long messages, you can adjust the related settings in the configuration file.'
)
pipeline_config['output']['long-text-processing']['strategy'] = 'forward'
except Exception:
traceback.print_exc()
self.ap.logger.error(
'Failed to load font file ({}), switch to forward message component to send long messages, you can adjust the related settings in the configuration file.'.format(
use_font
)
)
pipeline_config['output']['long-text-processing']['strategy'] = 'forward'
for strategy_cls in strategy.preregistered_strategies:
if strategy_cls.name == config['strategy']:
self.strategy_impl = strategy_cls(self.ap)
break
else:
raise ValueError(f'Long message processing strategy not found: {config["strategy"]}')
await self.strategy_impl.initialize()
async def process(self, query: pipeline_query.Query, stage_inst_name: str) -> entities.StageProcessResult:
if self.strategy_impl is None:
self.ap.logger.debug('Long message processing strategy is not set, skip long message processing.')
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
# 检查是否包含非 Plain 组件
contains_non_plain = False
for msg in query.resp_message_chain[-1]:
if not isinstance(msg, platform_message.Plain):
contains_non_plain = True
break
if contains_non_plain:
self.ap.logger.debug('Message contains non-Plain components, skip long message processing.')
elif (
len(str(query.resp_message_chain[-1]))
> query.pipeline_config['output']['long-text-processing']['threshold']
):
query.resp_message_chain[-1] = platform_message.MessageChain(
await self.strategy_impl.process(str(query.resp_message_chain[-1]), query)
)
return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)