* feat(web): add PageEmpty component
* feat(web): add PageTabs component
* feat(web): add PageEmpty component
* feat(web): add PageTabs component
* feat(prompt): add history tracking for prompt releases
* feat(web): add prompt menu
* refactor: The PageScrollList component supports two generic parameters
* feat(web): BodyWrapper compoent update PageLoading
* feat(web): add Ontology menu
* feat(web): memory management add scene
* feat(tasks): add celery task configuration for periodic jobs
- Add ignore_result=True to prevent storing results for periodic tasks
- Set max_retries=0 to skip failed periodic tasks without retry attempts
- Configure acks_late=False for immediate acknowledgment in beat tasks
- Add time_limit and soft_time_limit to regenerate_memory_cache task (3600s/3300s)
- Add time_limit and soft_time_limit to workspace_reflection_task (300s/240s)
- Add time_limit and soft_time_limit to run_forgetting_cycle_task (7200s/7000s)
- Improve task reliability and resource management for scheduled jobs
* feat(sandbox): add Node.js code execution support to sandbox
* Release/v0.2.2 (#260)
* [modify] migration script
* [add] migration script
* fix(web): change form message
* fix(web): the memoryContent field is compatible with numbers and strings
* feat(web): code node hidden
* fix(model):
1. create a basic model to check if the name and provider are duplicated.
2. The result shows error models because the provider created API Keys for all matching models.
---------
Co-authored-by: Mark <zhuwenhui5566@163.com>
Co-authored-by: zhaoying <yzhao96@best-inc.com>
Co-authored-by: yingzhao <zhaoyingyz@126.com>
Co-authored-by: Timebomb2018 <18868801967@163.com>
* Feature/ontology class clean (#249)
* [add] Complete ontology engineering feature implementation
* [add] Add ontology feature integration and validation utilities
* [add] Add OWL validator and validation utilities
* [fix] Add missing render_ontology_extraction_prompt function
* [fix]Add dependencies, fix functionality
* [add] migration script
* feat(celery): add dedicated periodic tasks worker and queue (#261)
* fix(web): conflict resolve
* Fix/v022 bug (#263)
* [fix]Fix the issue of inconsistent language in explicit and episodic memory.
* [fix]Fix the issue of inconsistent language in explicit and episodic memory.
* [add]Add scene_id
* [fix]Based on the AI review to fix the code
* Fix/develop memory reflex (#265)
* 遗漏的历史映射
* 遗漏的历史映射
* 反思后台报错处理
* [add] migration script
* fix: chat conversation_id add node_start
* feat(web): show code node
* fix(web): Restructure the CustomSelect component, repair the interface that is called multiple times when the form is updated
* feat(web): RadioGroupCard support block mode
* feat(web): create space add icon
* feat(app and model): token consumption statistics
* Add/develop memory (#264)
* 遗漏的历史映射
* 遗漏的历史映射
* 遗漏的历史映射
* 遗漏的历史映射
* 遗漏的历史映射
* 遗漏的历史映射
* 遗漏的历史映射
* 遗漏的历史映射
* 遗漏的历史映射
* 新增长期记忆功能
* 新增长期记忆功能
* 新增长期记忆功能
* 知识库检索多余字段
* 长期
* feat(app and model): token consumption statistics of the cluster
* memory_BUG_fix
* fix(web): prompt history remove pageLoading
* fix(prompt): remove hard-coded import of prompt file paths (#279)
* Fix/develop memory bug (#274)
* 遗漏的历史映射
* 遗漏的历史映射
* fix_timeline_memories
* fix(web): update retrieve_type key
* Fix/develop memory bug (#276)
* 遗漏的历史映射
* 遗漏的历史映射
* fix_timeline_memories
* fix_timeline_memories
* write_gragp/bug_fix
* write_gragp/bug_fix
* write_gragp/bug_fix
* chore(celery): disable periodic task scheduling
* fix(prompt): remove hard-coded import of prompt file paths
---------
Co-authored-by: lixinyue11 <94037597+lixinyue11@users.noreply.github.com>
Co-authored-by: zhaoying <yzhao96@best-inc.com>
Co-authored-by: yingzhao <zhaoyingyz@126.com>
Co-authored-by: Ke Sun <kesun5@illinois.edu>
* fix(web): remove delete confirm content
* refactor(workflow): relocate template directory into workflow
* feat(memory): add long-term storage task routing and batching
* fix(web): PageScrollList loading update
* fix(web): PageScrollList loading update
* Ontology v1 bug (#291)
* [changes]Add 'id' as the secondary sorting key, and 'scene_id' now returns a UUID object
* [fix]Fix the "end_user" return to be sorted by update time.
* [fix]Set the default values of the memory configuration model based on the spatial model.
* [fix]Remove the entity extraction check combination model, read the configuration list, and add the return of scene_id
* [fix]Fix the "end_user" return to be sorted by update time.
* [fix]
* fix(memory): add Redis session validation
- Add macOS fork() safety configuration in celery_app.py to prevent initialization issues
- Add null/False checks for Redis session queries in term_memory_save to handle missing sessions gracefully
- Add null/False checks in memory_long_term_storage to prevent processing empty Redis results
- Add null/False checks in aggregate_judgment before format_parsing to avoid errors on missing data
- Initialize redis_messages variable in window_dialogue for consistency
- Add debug logging when no existing session found in Redis for better troubleshooting
- Add TODO comments for magic numbers (scope=6, time=5) to be extracted as constants
- Improve error handling when Redis returns False or empty results instead of crashing
* fix(web): PageScrollList style update
* fix(workflow): fix argument passing in code execution nodes
* fix(web): prompt add disabled
* fix(web): space icon required
* feat(app): modify the key of the token
* fix(fix the key of the app's token):
* fix(workflow): switch code input encoding to base64+URL encoding
* [add]The main project adds multi-API Key load balancing.
* [changes]Attribute security access, secure numerical conversion, unified use of local variables
* fix(web): save add session update
* fix(web): language editor support paste
* [changes]Active status filtering logic, API Key selection strategy
* memory_BUG
* memory_BUG_long_term
* [changes]
* memory_BUG_long_term
* memory_BUG_long_term
* Fix/release memory bug (#306)
* memory_BUG_fix
* memory_BUG
* memory_BUG_long_term
* memory_BUG_long_term
* memory_BUG_long_term
* knowledge_retrieval/bug/fix
* knowledge_retrieval/bug/fix
* knowledge_retrieval/bug/fix
* [fix]1.The "read_all_config" interface returns "scene_name";2.Memory configuration for lightweight query ontology scenarios
* fix(web): replace code editor
* [changes]Modify the description of the time for the recent event
* [changes]Modify the code based on the AI review
* feat(web): update memory config ontology api
* fix(web): ui update
* knowledge_retrieval/bug/fix
* knowledge_retrieval/bug/fix
* knowledge_retrieval/bug/fix
* feat(workflow): add token usage statistics for question classifier and parameter extraction
* feat(web): move prompt menu
* Multiple independent transactions - single transaction
* Multiple independent transactions - single transaction
* Multiple independent transactions - single transaction
* Multiple independent transactions - single transaction
* Write Missing None (#321)
* Write Missing None
* Write Missing None
* Write Missing None
* Apply suggestion from @sourcery-ai[bot]
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* Write Missing None
---------
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* Fix/release memory bug (#324)
* Write Missing None
* Write Missing None
* Write Missing None
* Apply suggestion from @sourcery-ai[bot]
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* Write Missing None
* redis update
* redis update
* redis update
* redis update
---------
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* Fix/writer memory bug (#326)
* [fix]Fix the bug
* [fix]Fix the bug
* [fix]Correct the direction indication.
* fix(web): markdown table ui update
* Fix/release memory bug (#332)
* Write Missing None
* Write Missing None
* Write Missing None
* Apply suggestion from @sourcery-ai[bot]
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* Write Missing None
* redis update
* redis update
* redis update
* redis update
* writer_dup_bug/fix
---------
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* Fix/fact summary (#333)
* [fix]Disable the contents related to fact_summary
* [fix]Disable the contents related to fact_summary
* [fix]Modify the code based on the AI review
* Fix/release memory bug (#335)
* Write Missing None
* Write Missing None
* Write Missing None
* Apply suggestion from @sourcery-ai[bot]
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* Write Missing None
* redis update
* redis update
* redis update
* redis update
* writer_dup_bug/fix
* writer_graph_bug/fix
* writer_graph_bug/fix
---------
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* Revert "feat(web): move prompt menu"
This reverts commit 9e6e8f50f8.
* fix(web): ui update
* fix(web): update text
* fix(web): ui update
* fix(model): change the "vl" model type of dashscope to "chat"
* fix(model): change the "vl" model type of dashscope to "chat"
---------
Co-authored-by: zhaoying <yzhao96@best-inc.com>
Co-authored-by: Eternity <1533512157@qq.com>
Co-authored-by: Mark <zhuwenhui5566@163.com>
Co-authored-by: yingzhao <zhaoyingyz@126.com>
Co-authored-by: Timebomb2018 <18868801967@163.com>
Co-authored-by: 乐力齐 <162269739+lanceyq@users.noreply.github.com>
Co-authored-by: lixinyue11 <94037597+lixinyue11@users.noreply.github.com>
Co-authored-by: lixinyue <2569494688@qq.com>
Co-authored-by: Eternity <61316157+myhMARS@users.noreply.github.com>
Co-authored-by: lanceyq <1982376970@qq.com>
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
322 lines
11 KiB
Python
322 lines
11 KiB
Python
import uuid
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from sqlalchemy.orm import Session
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from app.core.logging_config import get_db_logger
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from app.models.prompt_optimizer_model import (
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PromptOptimizerSession,
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PromptOptimizerSessionHistory,
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RoleType,
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PromptHistory
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)
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db_logger = get_db_logger()
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class PromptOptimizerSessionRepository:
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"""Repository for managing prompt optimization sessions and session history."""
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def __init__(self, db: Session):
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self.db = db
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def get_session_by_id(self, session_id: uuid.UUID) -> PromptOptimizerSession | None:
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session = self.db.query(PromptOptimizerSession).filter(
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PromptOptimizerSession.id == session_id,
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).first()
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return session
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def create_session(
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self,
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tenant_id: uuid.UUID,
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user_id: uuid.UUID
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) -> PromptOptimizerSession:
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"""
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Create a new prompt optimization session for a user and app.
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Args:
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tenant_id (uuid.UUID): The unique identifier of the tenant.
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user_id (uuid.UUID): The unique identifier of the user.
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Returns:
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PromptOptimizerSession: The newly created session object.
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"""
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db_logger.debug(f"Create prompt optimization session: tenant_id={tenant_id}, user_id={user_id}")
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try:
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session = PromptOptimizerSession(
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tenant_id=tenant_id,
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user_id=user_id,
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)
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self.db.add(session)
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return session
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except Exception as e:
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db_logger.error(f"Error creating prompt optimization session: - {str(e)}")
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raise
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def get_session_history(
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self,
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session_id: uuid.UUID,
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user_id: uuid.UUID
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) -> list[type[PromptOptimizerSessionHistory]]:
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"""
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Retrieve all message history of a specific prompt optimization session.
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Args:
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session_id (uuid.UUID): The unique identifier of the session.
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user_id (uuid.UUID): The unique identifier of the user.
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Returns:
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list[PromptOptimizerSessionHistory]: A list of session history records
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ordered by creation time ascending.
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"""
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db_logger.debug(f"Get prompt optimization session history: "
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f"user_id={user_id}, session_id={session_id}")
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try:
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# First get the internal session ID from the session list table
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session = self.db.query(PromptOptimizerSession).filter(
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PromptOptimizerSession.id == session_id,
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PromptOptimizerSession.user_id == user_id
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).first()
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if not session:
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return []
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history = self.db.query(PromptOptimizerSessionHistory).filter(
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PromptOptimizerSessionHistory.session_id == session.id,
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PromptOptimizerSessionHistory.user_id == user_id
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).order_by(PromptOptimizerSessionHistory.created_at.asc()).all()
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return history
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except Exception as e:
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db_logger.error(f"Error retrieving prompt optimization session history: session_id={session_id} - {str(e)}")
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raise
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def create_message(
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self,
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tenant_id: uuid.UUID,
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session_id: uuid.UUID,
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user_id: uuid.UUID,
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role: RoleType,
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content: str,
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) -> PromptOptimizerSessionHistory:
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"""
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Create a new message in the session history.
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This method is a placeholder for future implementation.
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"""
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try:
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# Get the session to ensure it exists and belongs to the user
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session = self.db.query(PromptOptimizerSession).filter(
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PromptOptimizerSession.id == session_id,
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PromptOptimizerSession.user_id == user_id,
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PromptOptimizerSession.tenant_id == tenant_id
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).first()
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if not session:
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db_logger.error(f"Session {session_id} not found for user {user_id}")
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raise ValueError(f"Session {session_id} not found for user {user_id}")
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message = PromptOptimizerSessionHistory(
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tenant_id=tenant_id,
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session_id=session.id,
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user_id=user_id,
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role=role.value,
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content=content,
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)
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self.db.add(message)
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return message
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except Exception as e:
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db_logger.error(f"Error creating prompt optimization session history: session_id={session_id} - {str(e)}")
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raise
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def get_first_user_message(self, session_id: uuid.UUID) -> str | None:
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"""
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Get the first user message from a session.
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Args:
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session_id (uuid.UUID): The session ID.
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Returns:
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str | None: The content of the first user message, or None if not found.
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"""
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try:
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message = self.db.query(PromptOptimizerSessionHistory).filter(
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PromptOptimizerSessionHistory.session_id == session_id,
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PromptOptimizerSessionHistory.role == RoleType.USER.value
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).order_by(
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PromptOptimizerSessionHistory.created_at.asc()
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).first()
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return message.content if message else None
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except Exception as e:
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db_logger.error(f"Error getting first user message: session_id={session_id} - {str(e)}")
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raise
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class PromptReleaseRepository:
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def __init__(self, db: Session):
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self.db = db
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def get_prompt_by_session_id(self, session_id: uuid.UUID) -> PromptHistory | None:
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prompt_obj = self.db.query(PromptHistory).filter(
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PromptHistory.session_id == session_id,
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PromptHistory.is_delete.is_(False)
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).first()
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return prompt_obj
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def create_prompt_release(
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self,
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tenant_id: uuid.UUID,
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title: str,
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session_id: uuid.UUID,
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prompt: str,
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) -> PromptHistory:
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try:
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prompt_obj = PromptHistory(
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tenant_id=tenant_id,
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title=title,
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session_id=session_id,
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prompt=prompt,
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)
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self.db.add(prompt_obj)
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return prompt_obj
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except Exception as e:
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db_logger.error(f"Error creating prompt release: session_id={session_id} - {str(e)}")
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raise
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def soft_delete_prompt(self, prompt_obj: PromptHistory) -> None:
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"""
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Soft delete a prompt release by setting is_delete flag to True.
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Args:
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prompt_obj (PromptHistory): The prompt release object to delete.
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"""
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try:
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prompt_obj.is_delete = True
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db_logger.debug(f"Soft deleted prompt release: id={prompt_obj.id}, session_id={prompt_obj.session_id}")
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except Exception as e:
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db_logger.error(f"Error soft deleting prompt release: id={prompt_obj.id} - {str(e)}")
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raise
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def get_prompt_by_id(self, prompt_id: uuid.UUID) -> PromptHistory | None:
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"""
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Get a prompt release by its ID.
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Args:
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prompt_id (uuid.UUID): The prompt release ID.
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Returns:
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PromptHistory | None: The prompt release object or None if not found.
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"""
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try:
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prompt_obj = self.db.query(PromptHistory).filter(
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PromptHistory.id == prompt_id
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).first()
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return prompt_obj
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except Exception as e:
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db_logger.error(f"Error getting prompt release by id: id={prompt_id} - {str(e)}")
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raise
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def count_prompts(self, tenant_id: uuid.UUID) -> int:
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"""
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Count total number of non-deleted prompts for a tenant.
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Args:
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tenant_id (uuid.UUID): The tenant ID.
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Returns:
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int: Total count of prompts.
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"""
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try:
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count = self.db.query(PromptHistory).filter(
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PromptHistory.tenant_id == tenant_id,
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PromptHistory.is_delete.is_(False)
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).count()
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return count
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except Exception as e:
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db_logger.error(f"Error counting prompts: tenant_id={tenant_id} - {str(e)}")
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raise
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def get_prompts_paginated(
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self,
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tenant_id: uuid.UUID,
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offset: int,
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limit: int
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) -> list[PromptHistory]:
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"""
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Get paginated list of prompt releases for a tenant.
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Args:
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tenant_id (uuid.UUID): The tenant ID.
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offset (int): Number of records to skip.
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limit (int): Maximum number of records to return.
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Returns:
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list[PromptHistory]: List of prompt releases.
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"""
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try:
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prompts = self.db.query(PromptHistory).filter(
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PromptHistory.tenant_id == tenant_id,
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PromptHistory.is_delete.is_(False)
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).order_by(
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PromptHistory.created_at.desc()
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).offset(offset).limit(limit).all()
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return prompts
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except Exception as e:
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db_logger.error(f"Error getting paginated prompts: tenant_id={tenant_id} - {str(e)}")
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raise
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def count_prompts_by_keyword(self, tenant_id: uuid.UUID, keyword: str) -> int:
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"""
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Count total number of non-deleted prompts matching keyword for a tenant.
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Args:
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tenant_id (uuid.UUID): The tenant ID.
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keyword (str): Search keyword for title.
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Returns:
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int: Total count of matching prompts.
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"""
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try:
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count = self.db.query(PromptHistory).filter(
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PromptHistory.tenant_id == tenant_id,
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PromptHistory.is_delete.is_(False),
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PromptHistory.title.ilike(f"%{keyword}%")
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).count()
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return count
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except Exception as e:
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db_logger.error(f"Error counting prompts by keyword: tenant_id={tenant_id}, keyword={keyword} - {str(e)}")
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raise
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def search_prompts_paginated(
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self,
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tenant_id: uuid.UUID,
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keyword: str,
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offset: int,
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limit: int
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) -> list[PromptHistory]:
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"""
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Search prompt releases by keyword in title with pagination.
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Args:
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tenant_id (uuid.UUID): The tenant ID.
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keyword (str): Search keyword for title.
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offset (int): Number of records to skip.
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limit (int): Maximum number of records to return.
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Returns:
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list[PromptHistory]: List of matching prompt releases.
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"""
|
|
try:
|
|
prompts = self.db.query(PromptHistory).filter(
|
|
PromptHistory.tenant_id == tenant_id,
|
|
PromptHistory.is_delete.is_(False),
|
|
PromptHistory.title.ilike(f"%{keyword}%")
|
|
).order_by(
|
|
PromptHistory.created_at.desc()
|
|
).offset(offset).limit(limit).all()
|
|
return prompts
|
|
except Exception as e:
|
|
db_logger.error(f"Error searching prompts: tenant_id={tenant_id}, keyword={keyword} - {str(e)}")
|
|
raise
|