xinyin025/LangBot
1
0
Fork 0
mirror of https://github.com/langbot-app/LangBot.git synced 2026-06-02 03:55:55 +00:00
Code Issues Packages Projects Releases Wiki Activity

feat: add external plugin auto download

Browse Source
This commit is contained in:
youhuanghe
2026-03-09 09:55:12 +00:00
parent aa7b0deb2b
commit e09ae8f1a8
1 changed files with 88 additions and 65 deletions
Download Patch File Download Diff File Expand all files Collapse all files

153
src/langbot/pkg/api/http/controller/groups/knowledge/migration.py
View File

@@ -69,56 +69,99 @@ class KnowledgeMigrationRouterGroup(group.RouterGroup):
)
return result.first() is not None
async def _install_plugin_from_marketplace(
self, plugin_id: str, task_context: taskmgr.TaskContext, space_url: str
) -> None:
"""Install a single plugin from the marketplace."""
p_author, p_name = plugin_id.split('/', 1)
self.ap.logger.info(f'RAG migration: installing plugin {plugin_id} from marketplace...')
task_context.trace(f'Installing plugin {plugin_id} from marketplace...')
async with httpx.AsyncClient(trust_env=True, timeout=15) as client:
resp = await client.get(f'{space_url}/api/v1/marketplace/plugins/{p_author}/{p_name}')
resp.raise_for_status()
p_data = resp.json().get('data', {}).get('plugin', {})
p_version = p_data.get('latest_version')
if not p_version:
raise Exception(f'Could not determine latest version for {plugin_id}')
await self.ap.plugin_connector.install_plugin(
PluginInstallSource.MARKETPLACE,
{
'plugin_author': p_author,
'plugin_name': p_name,
'plugin_version': p_version,
},
task_context=task_context,
)
self.ap.logger.info(f'RAG migration: plugin {plugin_id} install request sent.')
async def _execute_rag_migration(self, task_context: taskmgr.TaskContext, install_plugin: bool = True):
"""Execute RAG migration: optionally install langrag plugin and restore backup data."""
"""Execute RAG migration: install required plugins and restore backup data."""
warnings = []
# Collect all plugins we need: LangRAG (always) + connector plugins (from external KBs)
needed_plugins: dict[str, str] = {
LANGRAG_PLUGIN_ID: LANGRAG_PLUGIN_NAME,
}
has_external = await self._table_exists('external_knowledge_bases')
if has_external:
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.text('SELECT DISTINCT plugin_author, plugin_name FROM external_knowledge_bases;')
)
for row in result.fetchall():
plugin_author = row[0] or ''
plugin_name = row[1] or ''
mapped_name = EXTERNAL_PLUGIN_NAME_MAPPING.get(plugin_name, plugin_name)
plugin_id = f'{plugin_author}/{mapped_name}'
if plugin_id not in needed_plugins:
needed_plugins[plugin_id] = mapped_name
self.ap.logger.info(f'RAG migration: plugins needed: {list(needed_plugins.keys())}')
if install_plugin:
# Step 1: Install langrag plugin from marketplace
task_context.trace('Installing LangRAG plugin from marketplace...', action='install-plugin')
try:
# Query marketplace for latest version
space_url = self.ap.instance_config.data.get('space', {}).get('url', DEFAULT_SPACE_URL).rstrip('/')
async with httpx.AsyncClient(trust_env=True, timeout=15) as client:
resp = await client.get(
f'{space_url}/api/v1/marketplace/plugins/{LANGRAG_PLUGIN_AUTHOR}/{LANGRAG_PLUGIN_NAME}'
)
resp.raise_for_status()
plugin_data = resp.json().get('data', {}).get('plugin', {})
plugin_version = plugin_data.get('latest_version')
if not plugin_version:
raise Exception('Could not determine latest LangRAG version from marketplace')
# Step 1: Install all required plugins from marketplace
task_context.trace('Installing required plugins...', action='install-plugin')
space_url = self.ap.instance_config.data.get('space', {}).get('url', DEFAULT_SPACE_URL).rstrip('/')
install_info = {
'plugin_author': LANGRAG_PLUGIN_AUTHOR,
'plugin_name': LANGRAG_PLUGIN_NAME,
'plugin_version': plugin_version,
}
await self.ap.plugin_connector.install_plugin(
PluginInstallSource.MARKETPLACE, install_info, task_context=task_context
)
except Exception as e:
# Plugin may already be installed
self.ap.logger.warning(f'LangRAG plugin install returned: {e}')
task_context.trace(f'Plugin install note: {e}')
for plugin_id in needed_plugins:
try:
await self._install_plugin_from_marketplace(plugin_id, task_context, space_url)
except Exception as e:
self.ap.logger.warning(f'RAG migration: plugin {plugin_id} install returned: {e}')
task_context.trace(f'Plugin install note ({plugin_id}): {e}')
# Step 2: Wait for the plugin to be available
task_context.trace('Waiting for LangRAG plugin to become available...', action='wait-plugin')
# Step 2: Wait for all plugins to become available as knowledge engines
task_context.trace(
f'Waiting for plugins to become available: {list(needed_plugins.keys())}...',
action='wait-plugin',
)
max_retries = 30
engine_id_set: set[str] = set()
for i in range(max_retries):
try:
engines = await self.ap.plugin_connector.list_knowledge_engines()
engine_ids = [e.get('plugin_id') for e in engines]
if LANGRAG_PLUGIN_ID in engine_ids:
task_context.trace('LangRAG plugin is ready.')
break
engine_id_set = {e.get('plugin_id') for e in engines}
except Exception:
pass
if all(pid in engine_id_set for pid in needed_plugins):
self.ap.logger.info(f'RAG migration: all plugins ready: {engine_id_set}')
task_context.trace('All required plugins are ready.')
break
if i == max_retries - 1:
raise Exception(
f'LangRAG plugin ({LANGRAG_PLUGIN_ID}) did not become available after {max_retries} retries'
)
still_missing = [pid for pid in needed_plugins if pid not in engine_id_set]
warning = f'Plugin(s) {still_missing} did not become available after {max_retries} retries'
self.ap.logger.warning(f'RAG migration: {warning}')
warnings.append(warning)
task_context.trace(warning)
await asyncio.sleep(2)
else:
try:
engines = await self.ap.plugin_connector.list_knowledge_engines()
engine_id_set = {e.get('plugin_id') for e in engines}
except Exception:
engine_id_set = set()
# Step 3: Restore internal knowledge bases from backup
task_context.trace('Restoring internal knowledge bases...', action='restore-internal')
@@ -143,7 +186,6 @@ class KnowledgeMigrationRouterGroup(group.RouterGroup):
creation_settings = json.dumps({'embedding_model_uuid': embedding_model_uuid})
retrieval_settings = json.dumps({'top_k': top_k})
# Insert into knowledge_bases with the same UUID
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text(
'INSERT INTO knowledge_bases '
@@ -165,7 +207,6 @@ class KnowledgeMigrationRouterGroup(group.RouterGroup):
)
)
# Notify langrag plugin to recognize this KB
try:
config = {'embedding_model_uuid': embedding_model_uuid}
await self.ap.plugin_connector.rag_on_kb_create(LANGRAG_PLUGIN_ID, kb_uuid, config)
@@ -175,26 +216,21 @@ class KnowledgeMigrationRouterGroup(group.RouterGroup):
warnings.append(warning)
task_context.trace(warning)
# Reload all knowledge bases into runtime
await self.ap.rag_mgr.load_knowledge_bases_from_db()
# Step 4: Restore external knowledge bases (read from preserved original table)
# Step 4: Restore external knowledge bases
task_context.trace('Restoring external knowledge bases...', action='restore-external')
if await self._table_exists('external_knowledge_bases'):
if has_external:
result = await self.ap.persistence_mgr.execute_async(
sqlalchemy.text('SELECT * FROM external_knowledge_bases;')
)
rows = result.fetchall()
columns = result.keys()
# Get current available engines for matching
try:
engines = await self.ap.plugin_connector.list_knowledge_engines()
engine_id_set = {e.get('plugin_id') for e in engines}
except Exception:
engine_id_set = set()
task_context.trace(f'Found {len(rows)} external KB(s) to restore. Available engines: {engine_id_set}')
self.ap.logger.info(
f'RAG migration: {len(rows)} external KB(s) to restore. Available engines: {engine_id_set}'
)
task_context.trace(f'Found {len(rows)} external KB(s). Available engines: {engine_id_set}')
for row in rows:
row_dict = dict(zip(columns, row))
@@ -207,40 +243,28 @@ class KnowledgeMigrationRouterGroup(group.RouterGroup):
retriever_config = row_dict.get('retriever_config', {})
created_at = row_dict.get('created_at')
# Map old Retriever plugin name to new Connector plugin name
mapped_plugin_name = EXTERNAL_PLUGIN_NAME_MAPPING.get(plugin_name, plugin_name)
external_plugin_id = f'{plugin_author}/{mapped_plugin_name}'
task_context.trace(
f'Processing external KB "{name}" ({kb_uuid}): '
f'old_plugin={plugin_author}/{plugin_name}, mapped={external_plugin_id}'
self.ap.logger.info(
f'RAG migration: processing external KB "{name}" ({kb_uuid}), '
f'plugin: {plugin_author}/{plugin_name} -> {external_plugin_id}'
)
# Parse retriever_config
if isinstance(retriever_config, str):
try:
retriever_config = json.loads(retriever_config)
except (json.JSONDecodeError, TypeError):
retriever_config = {}
# Split retriever_config into creation_settings and retrieval_settings
creation_fields = EXTERNAL_PLUGIN_CREATION_FIELDS.get(external_plugin_id)
if creation_fields is None:
# All fields go to creation_settings (e.g. FastGPT has no retrieval_schema)
creation_settings_dict = retriever_config
retrieval_settings_dict = {}
else:
creation_settings_dict = {k: v for k, v in retriever_config.items() if k in creation_fields}
retrieval_settings_dict = {k: v for k, v in retriever_config.items() if k not in creation_fields}
task_context.trace(
f'Inserting external KB "{name}" into knowledge_bases table '
f'(plugin_id={external_plugin_id}, creation_settings={json.dumps(creation_settings_dict)}, '
f'retrieval_settings={json.dumps(retrieval_settings_dict)})'
)
# Always insert the KB record so it shows in frontend,
# even if the connector plugin is not yet installed.
await self.ap.persistence_mgr.execute_async(
sqlalchemy.text(
'INSERT INTO knowledge_bases '
@@ -280,7 +304,6 @@ class KnowledgeMigrationRouterGroup(group.RouterGroup):
warnings.append(warning)
task_context.trace(warning)
# Reload again after external KBs
await self.ap.rag_mgr.load_knowledge_bases_from_db()
# Step 5: Clear migration flag