Adds GET /api/graph/project/<id>/download/source, GET /api/simulation/<id>/download/report,
and GET /api/simulation/<id>/download/log with corresponding tests (5/5 passing).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Step 02/03 UX:
- Remove duplicate simulation params (total_hours, minutes_per_round) from Fase B form
- Add following_probability + recsys_type to step 03 config panel instead
- Step 03 now read-only by default with Edit / Save toolbar toggle
- Add common.edit and log.configSaved i18n keys to all 4 locales
Backend - Azure OpenAI fix (run_parallel_simulation.py):
- create_model() now detects Azure URLs (cognitiveservices.azure.com / openai.azure.com)
and uses ModelPlatformType.AZURE with AzureOpenAIModel, passing api_version and
azure_deployment_name explicitly — fixes 404 "Resource not found" from camel-ai
Backend - offline report interviews (simulation_runner.py):
- interview_agents_batch() falls back to _offline_batch_interview() when OASIS env is
closed (simulation finished), reading posts from SQLite DB instead of failing with
"No successful interviews / check OASIS environment status"
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements Tasks 8 and 9 of F2-A+B: async agent creation from entity UUID
and async per-agent profile regeneration, both with atomic profile file writes.
Refactors generate_profile_from_entity to accept extra_instructions instead
of requiring user_id (renamed internal logic to _generate_single_profile).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements SimulationManager.clone_simulation() and the corresponding
Flask route. The clone copies reddit_profiles.json, twitter_profiles.csv
and agent_profiles.json from the source simulation; does not copy
simulation_config.json; sets status=PROFILES_READY and records
parent_simulation_id. All 3 tests in test_simulation_clone.py pass.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements atomic agent profile editing with manually_edited flag.
Blocks edits when simulation is running or completed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Convert all project.attribute accesses to project["key"]/project.get("key"),
use save_project({...}) dict calls, and wire save_graph_record/complete_graph_record
helpers for proper graph persistence.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace .to_dict() calls and attribute access with direct dict usage,
add get_storage() import for delete_project, and rewrite reset_project
to use save_project() with a partial dict instead of mutating an ORM object.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds ?format=md|pdf query param to GET /api/report/<id>/download.
PDF is generated from Markdown via fitz.Story (PyMuPDF). Also fixes
create_app() to support dict config and skip JWT auth in TESTING mode.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Translate all Chinese comments, docstrings, log messages, error messages,
and LLM prompt text to English across the entire backend codebase.
Locale translation files (locales/*.json) are unchanged.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Background threads (graph building, simulation prep, report generation,
profile generation) now inherit the requesting user's locale preference.
Previously these fell back to 'zh' because Flask request context was
unavailable in spawned threads.
- Implemented `_get_report_id_for_simulation` to find the most recent report ID associated with a simulation ID by scanning the reports directory.
- Updated `get_simulation_history` to include the retrieved report ID in the response, enhancing the simulation data returned to the client.
- Updated simulation history retrieval to read project details directly from the Simulation file.
- Improved simulation configuration handling by reading simulation requirements from JSON.
- Added project file listing to the simulation history, displaying up to three associated files.
- Refined card layout in HistoryDatabase.vue to accommodate new file display features and improved responsiveness.
- Introduced a unique report ID generation mechanism to enhance tracking and management of reports.
- Implemented detailed logging for the report generation process, including agent actions, planning stages, and tool calls, improving traceability and debugging.
- Added new API endpoints for retrieving agent and console logs, allowing users to access detailed execution logs and console outputs during report generation.
- Enhanced the frontend GraphPanel component with a notification for users when simulations finish, improving user experience and feedback.
- Updated the simulation API to include a new 'force' parameter, allowing users to restart simulations while cleaning up previous logs.
- Enhanced the simulation status detail retrieval to include all actions and platform-specific actions for better monitoring.
- Introduced a new SimulationRunView component to manage the simulation process, providing a clear interface for users to start and monitor simulations.
- Improved the Step3Simulation component with detailed logging and progress indicators, ensuring users receive real-time updates during the simulation.
- Added new API endpoints for retrieving simulation posts and actions, enhancing the overall functionality and user engagement.
- Added synchronous retrieval of entity count before starting background tasks in simulation.py, allowing immediate access to expected agent totals for the frontend.
- Updated the simulation state to include expected entity count and types, enhancing the information available during preparation.
- Modified Step2EnvSetup.vue to display a pending status when the simulation is in progress and adjusted the simulation rounds configuration to dynamically reflect calculated values.
- Improved the slider for custom rounds to ensure it adapts to the auto-generated maximum rounds, enhancing usability and clarity.
- Introduced a new API endpoint for retrieving real-time simulation configuration, allowing users to view progress and metadata during simulation generation.
- Updated frontend API service to include the new real-time configuration method.
- Enhanced Step2EnvSetup.vue to support real-time polling for configuration updates, improving user experience during simulation setup.
- Revised display logic to show detailed configuration summaries and orchestration content, enriching the simulation setup process.
- Introduced the Report Agent module to facilitate the automatic generation of simulation analysis reports using LangChain and Zep, following the ReACT model.
- Added functionality for report outline planning, segmented content generation, and user interaction through a dialogue interface.
- Implemented new API endpoints for report generation, status checking, and retrieval, enhancing the overall reporting capabilities.
- Updated README.md to include detailed instructions on the new report generation features and API usage.
- Enhanced the project structure to accommodate the new report management functionalities, including report storage and retrieval mechanisms.
- Introduced a prefix to optimize interview prompts, ensuring agents respond directly with text without invoking tools.
- Updated the simulation API to utilize the optimized prompts for individual and batch interviews.
- Modified the `get_interview_history` function to allow for flexible platform querying, returning results from both Reddit and Twitter when no platform is specified.
- Enhanced README.md to include new prompt optimization details and updated API usage examples for clarity.
- Added a new Interview module to facilitate interactions with agents post-simulation, allowing for single and batch interviews.
- Introduced IPC communication mechanism for command and response handling between the Flask backend and simulation scripts.
- Updated README.md to include detailed instructions on the new Interview functionality, including API endpoints and usage examples.
- Enhanced simulation scripts to support waiting for commands after completion, improving user control over the simulation environment.
- Implemented error handling and logging for interview processes, ensuring robust operation and traceability.
- Added a new optional parameter `enable_graph_memory_update` to the simulation API, allowing real-time updates of agent activities to the Zep knowledge graph.
- Introduced `ZepGraphMemoryUpdater` and `ZepGraphMemoryManager` classes to handle the background processing of activity updates, ensuring efficient API calls and data management.
- Updated the README.md to include detailed instructions on the new graph memory update functionality and its configuration.
- Enhanced the simulation runner to manage the lifecycle of the graph memory updater, including starting and stopping the updater based on user configuration.
- Improved logging to track the status of graph memory updates, providing better insights into the simulation process.
- Added support for a `max_rounds` parameter in simulation API, allowing users to limit the number of simulation rounds, improving control over simulation duration.
- Updated README.md to reflect the new `max_rounds` parameter and its usage in simulation requests.
- Enhanced error handling for `max_rounds` input validation to ensure it is a positive integer.
- Modified simulation runner and related scripts to incorporate `max_rounds` functionality, ensuring consistent application across Twitter and Reddit simulations.
- Improved logging to indicate when the number of rounds is truncated due to the `max_rounds` setting, enhancing traceability during simulation execution.
- Added a new endpoint to retrieve real-time agent profiles during simulation, allowing users to monitor progress without going through the SimulationManager.
- Enhanced the profile generation process to support real-time saving of generated profiles to specified file formats (JSON for Reddit, CSV for Twitter).
- Updated the simulation configuration generator to assign appropriate agents to initial posts based on their types, improving the relevance of generated content.
- Improved error handling and logging for better traceability during profile generation and retrieval processes.
- Registered a cleanup function for simulation processes to ensure proper termination on server shutdown.
- Improved logging during application startup to confirm the registration of the cleanup function.
- Updated simulation preparation checks to clarify the conditions for considering a simulation ready, enhancing error handling and user feedback.
- Added detailed logging for simulation status changes, improving traceability during the simulation lifecycle.
- Introduced new files for simulation configuration and profile data, supporting enhanced testing and visualization capabilities.
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