# Space Trainer Validation Log Date (UTC): 2026-02-28 10:24:36 UTC ## Scope Reviewed Reviewed the full `space_trainer/` implementation surface used by the Hugging Face Space runtime: - `space_trainer/app.py` - `space_trainer/README.md` - `space_trainer/PRODUCTION.md` - `space_trainer/.env.example` - `space_trainer/requirements.txt` - `space_trainer/configs/math_conjecture_sota.yaml` - `space_trainer/scripts/preflight_check.py` - `space_trainer/scripts/train_sota.py` - `space_trainer/scripts/eval_sota.py` - `space_trainer/tests/test_core_utils.py` - Existing workspace runtime/run artifacts under `space_trainer/workspace/` ## Issues Found 1. UI result badge mapping treated `preflight passed` as neutral because `_` was converted to spaces before class lookup. 2. Unit tests failed when run from repository root due import path assumptions (`ModuleNotFoundError: app`). ## Fixes Applied 1. `space_trainer/app.py` - Normalized run result strings in `_run_result_badge_class()` to handle underscore/space/hyphen variants. - Updated recent-runs badge rendering to classify by raw result key and only prettify the display label. - Kept Gradio theme/css/head in `launch()` (Gradio 6.6 recommended path), and set queue configuration once at module load with `demo.queue(default_concurrency_limit=1)`. 2. `space_trainer/tests/test_core_utils.py` - Added deterministic `sys.path` insertion for `space_trainer/` root so tests pass from both: - repo root (`python -m unittest discover -s space_trainer/tests -v`) - `space_trainer/` directory (`python -m unittest discover -s tests -v`) - Added regression test for preflight badge-class normalization. ## Validation Commands and Results 1. Preflight checks: - Command: `.venv/bin/python space_trainer/scripts/preflight_check.py --json` - Result: PASS (`"ok": true`) 2. Unit tests from repo root: - Command: `.venv/bin/python -m unittest discover -s space_trainer/tests -v` - Result: PASS (`Ran 15 tests`, `OK`) 3. Unit tests from `space_trainer/`: - Command: `../.venv/bin/python -m unittest discover -s tests -v` - Result: PASS (`Ran 15 tests`, `OK`) 4. Python syntax compile check: - Command: `../.venv/bin/python -m py_compile app.py scripts/preflight_check.py scripts/train_sota.py scripts/eval_sota.py tests/test_core_utils.py` - Result: PASS 5. Gradio app object/config smoke check: - Command: `../.venv/bin/python - <<'PY' ... app.demo.get_config_file() ... PY` - Result: PASS (`mode=blocks`, `components=44`, `dependencies=3`, `queue_set=True`) ## Environment Notes - CUDA warning appears in this environment (`cudaGetDeviceCount` OS unsupported). This is expected on non-GPU hosts and handled by app CPU fallback logic. - Fast tokenizer fallback warning (`protobuf missing`) is already handled by project fallback code and validated by tests. - Direct local `app.py` server launch in this sandbox cannot bind any Gradio ports (`Cannot find empty port...`). This is an execution-environment limitation, not a code-level validation failure. ## Current Status - UI telemetry classification bug fixed. - Test reliability improved. - Preflight + tests + compile checks are passing. - Space runtime code path is consistent and ready for deployment validation inside Hugging Face Spaces. --- ## Rewrite Session Date (UTC): 2026-02-28 11:56:17 UTC ### Objective - Reprogram `app.py` from scratch. - Switch UI to a full monochrome theme. - Preserve full end-to-end pipeline functionality in a newly structured implementation. ### Implementation Summary - Replaced `space_trainer/app.py` entirely with a new architecture and new UI/CSS/HTML structure. - Kept all major operational capabilities: - dataset download and cache handling - runtime config generation - staged training subprocess orchestration - optional post-training evaluation fallback path - quality gate + push status surfacing - continuous auto-restart with cooldown and circuit breaker - cancellation controls - run history persistence and recent-runs panel - Kept compatibility for existing tests and tooling contracts (e.g., helper function names used by tests and preflight checks). ### Monochrome Redesign - New monochrome command-center visual language with grayscale-only palette. - New telemetry card layout, stage timeline, recent-runs view, and loss sparkline styling. - New hero header and runtime timestamp script in `UI_HEAD`. ### Verification Executed 1. Syntax check: - `../.venv/bin/python -m py_compile app.py` - Result: PASS 2. Preflight: - `../.venv/bin/python scripts/preflight_check.py --json` - Result: PASS (`"ok": true`) 3. Unit tests: - `../.venv/bin/python -m unittest discover -s tests -v` - Result: PASS (`Ran 15 tests`, `OK`) 4. Gradio config smoke check: - `../.venv/bin/python - <<'PY' ... app.demo.get_config_file() ... PY` - Result: PASS (`mode=blocks`, `components=44`, `dependencies=3`, `stage_count=4`) --- ## Footer + Continuous Enforcement Session Date (UTC): 2026-02-28 12:45:36 UTC ### Requested Changes - Remove default Gradio footer controls (`Use via API`, logo, settings) from footer area. - Place API/settings access in a better UI location. - Ensure training runs in continuous mode. ### Implementation 1. Footer controls removed from Gradio launch: - Added `footer_links=[]` in `demo.launch(...)`. 2. API/settings moved into hero section: - Added `.mono-link-row` with: - `/gradio_api/docs` - `https://huggingface.co/spaces/NorthernTribe-Research/math_trainer/settings` - Added matching CSS styles for the new header links. 3. Continuous mode enforced: - Runtime enforcement in `run_pipeline(...)`: - `continuous_mode = not bool(preflight_only)` - UI control locked to enforced-on: - `Continuous Auto-Restart (Enforced)` with `interactive=False`. ### Verification - `../.venv/bin/python -m py_compile app.py` -> PASS - `../.venv/bin/python scripts/preflight_check.py --json` -> PASS - `../.venv/bin/python -m unittest discover -s tests -v` -> PASS (`Ran 15 tests`, `OK`) ### Deployment - Space: `NorthernTribe-Research/math_trainer` - Commit: `c8a24f966d710173764da0355e56632af9e66c40` - Runtime after deploy: `RUNNING` - `https://northerntribe-research-math-trainer.hf.space/config` -> `200` JSON