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Author SHA1 Message Date
liyizhouAI a6a12d7775 Enhance Foresight demo replay and evidence citations 2026-06-08 19:09:16 +08:00
liyizhouAI cd51ebe282 feat: report quality overhaul — concrete data, agent quotes, infographic 
- Add SimulationAnalyticsService: direct actions.jsonl access for stats,
  top posts, agent quotes (positive/negative), sentiment breakdown
- Add simulation_analytics tool to ReportAgent ReACT loop
- Rewrite prompts: demand specific numbers, prohibit vague language,
  require verbatim agent quotes (min 5 per section)
- Refactor report_agent.py: extract prompts → report_prompts.py,
  data classes → report_data.py (both under 800 lines)
- Add ReportInfographic.vue: metrics cards, action distribution bars,
  sentiment breakdown, top agents, timeline sparkline
- Add infographic API endpoint: GET /api/report/<id>/infographic
- Pre-compute infographic data during report generation
- Increase max_tokens from 4096 to 8192 for detailed sections
 2026-04-17 16:58:53 +08:00
liyizhouAI 1fef01d979 feat: v0.3 - Manus replay + token tracking + SIGTERM fix + accelerate button 
This is the v0.3 milestone commit before the v0.4 big version push.
Major themes: process replay, runtime stability, cost observability.

## New Features

- **Manus-style process replay** (frontend + backend)
  - `GET /api/simulation/<id>/replay` returns full workflow + agents + rounds + aggregate
  - `frontend/src/views/SimulationReplayView.vue` 3-column layout (workflow / actions / stats)
  - bottom scrubber with play/pause/step + 5 speed levels (0.5x-10x)
  - filters out stale actions from previous runs via latest simulation_start timestamp

- **Token usage tracking** (`backend/app/utils/token_tracker.py`)
  - process-wide stage→model→tokens counter
  - LLMClient auto-records prompt/completion tokens after each call
  - stages tagged at API entry: step1_ontology, step2_graph_build, step3_prepare, step5_report
  - `GET /api/usage/summary` for live stats + CNY cost estimate
  - `GET /api/usage/estimate-simulation` for OASIS subprocess estimation
  - pricing table for GLM/SiliconFlow/MiniMax/OpenAI/Anthropic models
  - documented as internal-use, removed from customer-facing builds

- **Step 2 "Skip & Continue" button**
  - lets user stop profile generation early and proceed with what's already generated
  - `simulation_manager.request_accelerate()` + cancel_check in oasis_profile_generator
  - new endpoint `POST /api/simulation/prepare/accelerate`

## Critical Bug Fix

- **SIGTERM no longer kills running simulation subprocess**
  - root cause: `SimulationRunner.register_cleanup()` registered SIGTERM/SIGINT/SIGHUP handlers
    that called `os.killpg` on every tracked sim child, even though spawn already used
    `start_new_session=True` to give children isolated sessions
  - fix: neutered `register_cleanup` to a no-op; `cleanup_all_simulations` itself preserved
    for explicit stop_simulation paths
  - validated: killed Flask backend twice, simulation subprocess kept running
  - impact: hot-reload backend code without interrupting in-flight simulations

## Performance & Tuning

- semaphore 30 → 100 (twitter + reddit) for higher LLM concurrency
- discovered 200 agents as memory/cost/statistical sweet spot for 8G server
  (503 agents OOMs both platforms; 200 agents fits cleanly with 95% confidence margin)

## Documentation

- **PRD.md** rewritten as v0.3 baseline (10 chapters + 2 appendices, 639 lines)
  - product positioning across 3 usage modes (one-shot / model-reuse / SaaS)
  - v0.4 roadmap: domestic platforms (douyin/wechat/xiaohongshu/weibo), fork sim, multi-tenant
  - operational lessons: HF mirror, Tencent PyPI mirror, GLM-4-Flash choice, agent count
  - decision log with dates
  - per-stage token/cost breakdown for typical 200-agent run
- **README.md / README-ZH.md** updated with replay step + Graphiti+Neo4j

## Files Touched

19 files changed, 1105 insertions(+), 246 deletions(-)
 2026-04-15 09:37:22 +08:00
liyizhouAI ded715feb2 feat: merge upstream i18n + rebrand MiroFish → Foresight 先见之明 
- Merge 41 upstream commits (i18n for 7 languages, security fixes, new features)
- Rebrand all MiroFish references to Foresight/先见之明 across 37 files
- Re-apply dark theme CSS overhaul (pure black/gray, no blue tints)
- Re-apply Teleport-based theme toggle (inline with brand, 20px gap)
- Restore Foresight logo and favicon
- Update GitHub links to liyizhouAI/foresight
- Update locale files, README, package.json

Generated with [Claude Code](https://claude.ai/code)
via [Happy](https://happy.engineering)

Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
 2026-04-11 16:40:13 +08:00
ghostubborn 7c07237544 fix(i18n): pass locale to background threads via thread-local storage 
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.
 2026-04-01 16:55:51 +08:00
ghostubborn 74f673a238 feat(i18n): replace hardcoded Chinese in backend API responses with t() calls 2026-04-01 15:32:24 +08:00
666ghj b4435e273a Add report ID generation and logging features for report generation process 
- 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.
 2025-12-13 21:11:14 +08:00
666ghj 5ece3f670b Implement Report Agent for automated report generation and interaction 
- 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.
 2025-12-09 15:10:55 +08:00