HirModel's picture
Upload 16 files
d3e28d2 verified
Raw
History Blame Contribute Delete
3.3 kB
import json
from pathlib import Path
import gradio as gr
from runner import mycelium_v04_full_runner, run_battery
ROOT = Path(__file__).parent
FIXTURES = json.loads((ROOT / "battery_fixtures.json").read_text(encoding="utf-8"))
MANIFEST = json.loads((ROOT / "manifest.json").read_text(encoding="utf-8"))
HONEST_SCAR = json.loads((ROOT / "sample_inputs" / "honest_scar.json").read_text(encoding="utf-8"))
def _pretty(obj):
return json.dumps(obj, indent=2, ensure_ascii=False)
def run_canonical_battery():
rows, summary = run_battery(FIXTURES)
table = [
[
row["case"],
row["expected"],
row["actual"],
"PASS" if row["passed"] else "FAIL",
row["derived_repair_type"],
row["final_isomorphism"],
row["resonance_earned"],
row["reason"],
]
for row in rows
]
return table, _pretty(summary), _pretty({"rows": rows, "summary": summary})
def run_custom_input(raw_json):
try:
result = mycelium_v04_full_runner(raw_json)
return _pretty(result)
except Exception as exc:
return _pretty({"error": str(exc), "status": "INPUT_REJECTED"})
DESCRIPTION = """
# Digital Mycelium Trinity Assay v0.4-full
**Status:** `LOCKED_FULLY_ENFORCING + PACKAGED`
**Core law:** A scar is not a defect in the receipt. The scar is what prevents false return.
This runner does not trust a declared repair type. It infers repair integrity from structured evidence: scar state, damage receipt, trace preservation, reset marker, quarantine state, contamination state, identity similarity, and graph delta.
`resonance_earned` can only be true when: `final_iso >= 0.90`, scar is preserved, trace is not erased, reset-to-clean did not occur, quarantine is not fake, and identity-swap risk is absent.
Safety boundary: synthetic structured evidence only. No malware, exploit code, live hostile payloads, autonomous deployment, uncontrolled network behavior, or real-system targeting.
"""
with gr.Blocks(title="Digital Mycelium Trinity Assay v0.4-full") as demo:
gr.Markdown(DESCRIPTION)
with gr.Tab("Canonical Battery"):
run_btn = gr.Button("Run v0.4-full Dishonest Repair Battery")
table = gr.Dataframe(
headers=["case", "expected", "actual", "result", "derived_repair", "final_iso", "resonance", "reason"],
datatype=["str", "str", "str", "str", "str", "number", "bool", "str"],
label="Battery Results",
)
summary_box = gr.Code(label="Summary", language="json")
raw_box = gr.Code(label="Full Receipt", language="json")
run_btn.click(run_canonical_battery, outputs=[table, summary_box, raw_box])
with gr.Tab("Custom Structured Evidence"):
custom_input = gr.Code(value=_pretty(HONEST_SCAR), label="Runner Input JSON", language="json")
custom_btn = gr.Button("Run Custom Evidence")
custom_output = gr.Code(label="Runner Output", language="json")
custom_btn.click(run_custom_input, inputs=custom_input, outputs=custom_output)
with gr.Tab("Manifest"):
gr.Code(value=_pretty(MANIFEST), label="manifest.json", language="json")
if __name__ == "__main__":
demo.launch(server_name="0.0.0.0", server_port=7860, share=False)