- frontend/src/views/SimulationView.vue: remove onMounted auto-stop of running
simulations. Step 3's handleGoBack() already stops the sim when the user
explicitly clicks 'Back', so onMounted only killed sims when users opened
the sim URL directly or refreshed Step 2 (the 'loading error' symptom).
- backend/scripts/run_parallel_simulation.py: lower OASIS semaphore from 30
to 8 to fit the 8GB host's memory budget.
- backend/vendor/camel-oasis/oasis/social_agent/agents_generator.py: add
.get() defaults for mbti/gender/age/country to handle sparse agent
profiles (KeyError: 'mbti' bug).
Frontend (.vue, .js, .ts):
- All Chinese in HTML comments, JS comments, CSS comments translated
- All hardcoded Chinese UI strings (titles, alerts, console errors) translated
- The few remaining Chinese fragments in Step2EnvSetup.vue (4) and
Step4Report.vue (77) are intentional: stage-name identifiers that
must match what the backend emits, and LLM-output parser patterns
that match Chinese section headers in the LLM response.
Backend (Python):
- All # comments, """ and ''' docstrings translated
- All log/print/raise/error message strings translated
- All LLM system prompts (ONTOLOGY_SYSTEM_PROMPT, _PROMPT, _INSTRUCTION,
_TEMPLATE, _TASK_PROMPT, _EXTRACTOR, _PLANNER, _REPORTER, _SUMMARY,
_OUTLINE, _SYNTHESIS, _REWRITE, _SEARCH_PROMPT, _INTERVIEW, _REFLECTION,
_REACT, _ROLE, _CONTEXT, _GUIDELINES, _AGENT, _MESSAGE, _EXAMPLE,
_SYNTHESIZER, _WRITER, _CRITIQUE, _REVISION, _FEEDBACK, _PERSONA,
_FORMAT, _JUDGE, _ROUTER, _SECTION_PLANNER, _PARSER, _EXTRACT,
_RATIONALE variables) translated
- stage-name string literals in zep_graph_memory_updater.py (return
values used as Zep episode content) translated
- LLM-output parser patterns in zep_tools.py and report_agent.py
(e.g. text.match(/分析问题:/) and section headers like
'### 【关键事实】') kept as Chinese, because they match the
LLM's output format.
i18n:
- locales/zh.json: kept as source of truth for Chinese strings
- locales/en.json: kept (was already a complete English translation)
- locales/nl.json: NEW — full Dutch (Nederlands) translation of
en.json (633 leaf keys, all interpolation placeholders preserved)
- locales/languages.json: added 'nl' entry with label 'Nederlands'
and llmInstruction 'Antwoord in het Nederlands.'
Frontend i18n config:
- frontend/src/i18n/index.js: default locale changed from 'zh' to 'nl',
fallback locale from 'zh' to 'en'. Dutch is now the default UI
language; English is the fallback.
Misc:
- package.json: description translated
- docker-compose.yml: inline comment translated
- README.md / README-ZH.md / locales/zh.json / locales/languages.json:
Chinese content intentionally preserved (bilingual readme pointers
and language-metadata source of truth)
Files: 59 changed, +6810 / -6102
Co-authored-by: hermes <hermes@profikid.nl>
- Eliminated unnecessary warnings suppression related to multiprocessing resource tracking in `run.py` and `run_parallel_simulation.py`, streamlining the code and reducing potential confusion.
- This change enhances clarity in logging by allowing relevant warnings to be displayed during execution, improving traceability and debugging capabilities.
- Added signal handling to gracefully manage shutdown events across simulation scripts, ensuring proper cleanup of resources.
- Introduced a global shutdown event to allow simulations to respond to termination signals, improving robustness.
- Suppressed warnings related to multiprocessing resource tracking to avoid unnecessary log clutter during execution.
- Updated cleanup logic in `SimulationRunner` and `ZepGraphMemoryManager` to prevent redundant calls and ensure efficient resource management.
- Enhanced logging to provide clearer feedback during shutdown processes, improving traceability.
- Added context enrichment for actions in `fetch_new_actions_from_db`, providing complete information for posts, comments, and user interactions.
- Introduced a new `_enrich_action_context` function to supplement action arguments with relevant details such as post content, author names, and comment information.
- Updated the `ZepGraphMemoryUpdater` to batch send activities by platform, improving efficiency in processing and logging.
- Enhanced logging to include detailed statistics on sent activities and skipped actions, ensuring better traceability and monitoring of the activity flow.
- 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.
- Removed content truncation logic from the AgentActivity class, allowing full content to be logged for posts, comments, and quotes.
- Updated the `fetch_new_actions_from_db` function to retain complete content in action arguments, enhancing data accuracy.
- Adjusted simulation scripts to ensure that full content is sent during action creation, improving the representation of agent activities.
- Added logging for the start and end of round 0 in both Twitter and Reddit simulations, improving traceability of initial events.
- Updated the logging mechanism to record round end even when no active agents are present, ensuring comprehensive action tracking.
- Introduced initial action count tracking to provide insights into the number of actions taken during the initial phase of simulations.
- 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.
- Introduced `get_agent_names_from_config` function to map agent IDs to their entity names from the simulation configuration, enhancing clarity in action representation.
- Updated simulation scripts to utilize this new function for fetching agent names, ensuring that real entity names are displayed instead of default identifiers.
- Improved handling of agent names by falling back to default names only if not specified in the configuration, maintaining consistency across simulations.
- Updated .env.example to include new keys for dual LLM configuration, allowing for both general and boost settings.
- Modified create_model function to support an optional use_boost parameter, enabling the selection of either general or boost LLM configurations based on availability.
- Improved logging to indicate which LLM configuration is being used during model creation, enhancing clarity for users.
- Introduced MaxTokensWarningFilter to suppress specific warnings related to max_tokens in the logging output across simulation scripts.
- Added a semaphore parameter to limit the maximum concurrent LLM requests in Twitter and Reddit simulation functions, preventing API overload.
- Ensured the filter is applied immediately upon module loading for effective logging management.
- 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.
- Updated simulation preparation checks to exclude script files from the required files list, improving clarity on file management.
- Implemented a robust retry mechanism for Zep API calls in the ZepEntityReader service, enhancing reliability.
- Enhanced logging in simulation scripts to provide clearer insights into the simulation process and errors.
- Updated simulation runner to manage stdout and stderr logs more effectively, ensuring better error tracking.
- Improved profile generation to standardize gender fields and ensure all required fields are populated correctly.
- Updated README.md to include new simulation scripts and configuration details for OASIS, including API retry mechanisms and environment variable settings.
- Added simulation management and configuration generation services to streamline the simulation process across Twitter and Reddit platforms.
- Introduced new API routes for simulation-related operations, including entity retrieval and simulation status management.
- Implemented a robust retry mechanism for external API calls to improve system stability.
- Enhanced task management model to include detailed progress tracking.
- Added logging capabilities for action tracking during simulations.
- Included new scripts for running parallel simulations and testing profile formats.
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