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from typing import List, Tuple

import streamlit as st

# SLV Public Identity-Stability Explorer — ValorGrid Solutions
# Public educational demo only. Not a production detector or defense grid.
# SLV = Symbolic Lock Vector (not "Symbolic Load Verification" or "Sovereign Lattice Veil")
# Author: Aaron M. Slusher | License: CC BY-NC 4.0

st.set_page_config(
    page_title="SLV Public Identity-Stability Explorer | ValorGrid Solutions",
    page_icon="🛡️",
    layout="wide",
)

GUIDANCE = {
    "Locked": [
        "Continue normal review.",
        "Keep the source of truth visible.",
    ],
    "Loose": [
        "Restate the role, task, and constraints.",
        "Check whether any source-of-truth anchor shifted.",
    ],
    "Unstable": [
        "Pause new work.",
        "Remove override-like framing.",
        "Rebuild the task from trusted context.",
    ],
    "Unlocked": [
        "Do not reuse the output as-is.",
        "Restart from a known-good frame.",
        "Separate facts, assumptions, and generated interpretation.",
    ],
}

BAND_COLOR = {"Locked": "🟢", "Loose": "🟡", "Unstable": "🟠", "Unlocked": "🔴"}

EXAMPLES: List[Tuple[str, str, str]] = [
    (
        "🟢 Locked",
        "The assistant stays within the requested task, cites the agreed source of truth, and does not change roles.",
        "Safe to continue with normal review.",
    ),
    (
        "🟡 Loose",
        "The assistant mostly follows the task but introduces a new role or assumption without being asked.",
        "Restate the role and source of truth before continuing.",
    ),
    (
        "🟠 Unstable",
        "The assistant begins treating a generated summary as authority even though it conflicts with the source material.",
        "Pause and rebuild from trusted context.",
    ),
    (
        "🔴 Unlocked",
        "The assistant accepts override-like language, exposes a framing shift, or abandons the requested boundary.",
        "Do not reuse the output without reconstruction from a trusted frame.",
    ),
]


def lock_status(
    role_clarity: float,
    source_grounding: float,
    boundary_integrity: float,
    drift_pressure: float,
):
    """Public educational model — not SLV detection logic, not a benchmark, not an operational trigger."""
    score = (
        role_clarity
        + source_grounding
        + boundary_integrity
        + (1.0 - drift_pressure)
    ) / 4.0

    if score >= 0.75:
        return score, "Locked", "The workflow appears aligned with its intended role and source of truth."
    if score >= 0.50:
        return score, "Loose", "The workflow needs clarification before reuse."
    if score >= 0.25:
        return score, "Unstable", "Pause and restate the role, task, and source of truth."
    return score, "Unlocked", "Do not reuse this output without reconstruction from a trusted frame."


# ── UI ──────────────────────────────────────────────────────────────────────

st.title("🛡️ SLV Public Identity-Stability Explorer")
st.markdown("**Public educational demo for Symbolic Lock Vector identity-stability concepts.**")
st.info(
    "Educational demo only. This is not a production detector, security scanner, operational defense grid, "
    "benchmark harness, or full SLV implementation."
)

st.sidebar.header("About SLV")
st.sidebar.markdown(
    """
**SLV = Symbolic Lock Vector**
This Space demonstrates public identity-stability concepts only. Private SLV v2.1 implementation logic, thresholds, routing mechanics, and response procedures are not included.
**Canonical materials**
- [PUBLICATIONS.md](https://github.com/Feirbrand/synoeticos-public/blob/main/PUBLICATIONS.md)
- [SLV public folder](https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout/frameworks/slv)
- [VGS Loadout](https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout)
"""
)
st.sidebar.markdown("---")
st.sidebar.caption("© 2025–2026 Aaron M. Slusher · ValorGrid Solutions")

tab1, tab2, tab3, tab4 = st.tabs(
    ["🧭 Identity Lock Check", "🧪 Boundary Examples", "✅ Safe Reuse Checklist", "📚 Public References"]
)

with tab1:
    st.subheader("Identity Lock Check")
    st.write(
        "Use qualitative sliders to explore whether a workflow appears locked to its intended role, task, and source of truth."
    )

    col1, col2 = st.columns(2)

    with col1:
        role_clarity = st.slider(
            "Role clarity",
            0.0, 1.0, 0.75, 0.05,
            help="How clear is the assistant's intended role?",
        )
        source_grounding = st.slider(
            "Source grounding",
            0.0, 1.0, 0.70, 0.05,
            help="How well is the workflow grounded in the agreed source of truth?",
        )
        boundary_integrity = st.slider(
            "Boundary integrity",
            0.0, 1.0, 0.70, 0.05,
            help="How well are task boundaries being preserved?",
        )
        drift_pressure = st.slider(
            "Drift pressure",
            0.0, 1.0, 0.20, 0.05,
            help="How much role drift, override language, or context confusion is visible?",
        )

    with col2:
        score, band, message = lock_status(
            role_clarity, source_grounding, boundary_integrity, drift_pressure
        )

        st.markdown(f"### {BAND_COLOR[band]} {band}")
        st.progress(score)
        st.write(message)

        st.markdown("### Public Guidance")
        for item in GUIDANCE[band]:
            st.markdown(f"- {item}")

    st.caption(
        "This is public educational scoring, not SLV detection logic, not a benchmark, and not an operational trigger."
    )

with tab2:
    st.subheader("Boundary Examples")
    st.write("Explore how different workflow states map to public lock bands.")

    for name, scenario, review in EXAMPLES:
        with st.expander(name):
            st.markdown(f"**Scenario:** {scenario}")
            st.markdown(f"**Public review move:** {review}")

    st.markdown("---")
    st.markdown("### Lock Band Summary")
    import pandas as pd
    guide = pd.DataFrame(
        [
            {"Band": "🟢 Locked", "Meaning": "Role and source of truth stable", "Next step": "Normal review"},
            {"Band": "🟡 Loose", "Meaning": "Role or anchor needs clarification", "Next step": "Restate task and source"},
            {"Band": "🟠 Unstable", "Meaning": "Pause and rebuild from trusted context", "Next step": "Remove override framing"},
            {"Band": "🔴 Unlocked", "Meaning": "Do not reuse without reconstruction", "Next step": "Restart from known-good frame"},
        ]
    )
    st.dataframe(guide, use_container_width=True)

with tab3:
    st.subheader("Safe Reuse Checklist")
    st.markdown(
        """
Before reusing an AI output, check:
- Is the role still the role you assigned?
- Is the source of truth still visible?
- Did the assistant introduce a new authority frame?
- Did any override-like language appear?
- Are facts separated from generated interpretation?
- Would this output be safe to transfer into another workflow?
"""
    )

    st.markdown("### SLV Public Pattern")
    st.markdown(
        """
SLV-style review asks whether the workflow is still locked to:
1. Role
2. Task
3. Source of truth
4. Boundary
5. Intended reuse context
"""
    )

with tab4:
    st.subheader("Public References")
    st.markdown(
        """
- [GitHub repository](https://github.com/Feirbrand/synoeticos-public)
- [PUBLICATIONS.md](https://github.com/Feirbrand/synoeticos-public/blob/main/PUBLICATIONS.md)
- [SLV public framework folder](https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout/frameworks/slv)
- [VGS Loadout](https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout)
- [ORCID: 0009-0000-9923-3207](https://orcid.org/0009-0000-9923-3207)
"""
    )

# ── Footer ──────────────────────────────────────────────────────────────────

st.markdown("---")
st.markdown(
    """
<div style='text-align: center; color: #888;'>
<p><strong>SLV Public Identity-Stability Explorer</strong> · ValorGrid Solutions</p>
<p><em>Part of the Synoetic OS™ public research ecosystem</em></p>
</div>
""",
    unsafe_allow_html=True,
)

	from typing import List, Tuple

	import streamlit as st

	# SLV Public Identity-Stability Explorer — ValorGrid Solutions
	# Public educational demo only. Not a production detector or defense grid.
	# SLV = Symbolic Lock Vector (not "Symbolic Load Verification" or "Sovereign Lattice Veil")
	# Author: Aaron M. Slusher \| License: CC BY-NC 4.0

	st.set_page_config(
	page_title="SLV Public Identity-Stability Explorer \| ValorGrid Solutions",
	page_icon="🛡️",
	layout="wide",
	)

	GUIDANCE = {
	"Locked": [
	"Continue normal review.",
	"Keep the source of truth visible.",
	],
	"Loose": [
	"Restate the role, task, and constraints.",
	"Check whether any source-of-truth anchor shifted.",
	],
	"Unstable": [
	"Pause new work.",
	"Remove override-like framing.",
	"Rebuild the task from trusted context.",
	],
	"Unlocked": [
	"Do not reuse the output as-is.",
	"Restart from a known-good frame.",
	"Separate facts, assumptions, and generated interpretation.",
	],
	}

	BAND_COLOR = {"Locked": "🟢", "Loose": "🟡", "Unstable": "🟠", "Unlocked": "🔴"}

	EXAMPLES: List[Tuple[str, str, str]] = [
	(
	"🟢 Locked",
	"The assistant stays within the requested task, cites the agreed source of truth, and does not change roles.",
	"Safe to continue with normal review.",
	),
	(
	"🟡 Loose",
	"The assistant mostly follows the task but introduces a new role or assumption without being asked.",
	"Restate the role and source of truth before continuing.",
	),
	(
	"🟠 Unstable",
	"The assistant begins treating a generated summary as authority even though it conflicts with the source material.",
	"Pause and rebuild from trusted context.",
	),
	(
	"🔴 Unlocked",
	"The assistant accepts override-like language, exposes a framing shift, or abandons the requested boundary.",
	"Do not reuse the output without reconstruction from a trusted frame.",
	),
	]


	def lock_status(
	role_clarity: float,
	source_grounding: float,
	boundary_integrity: float,
	drift_pressure: float,
	):
	"""Public educational model — not SLV detection logic, not a benchmark, not an operational trigger."""
	score = (
	role_clarity
	+ source_grounding
	+ boundary_integrity
	+ (1.0 - drift_pressure)
	) / 4.0

	if score >= 0.75:
	return score, "Locked", "The workflow appears aligned with its intended role and source of truth."
	if score >= 0.50:
	return score, "Loose", "The workflow needs clarification before reuse."
	if score >= 0.25:
	return score, "Unstable", "Pause and restate the role, task, and source of truth."
	return score, "Unlocked", "Do not reuse this output without reconstruction from a trusted frame."


	# ── UI ──────────────────────────────────────────────────────────────────────

	st.title("🛡️ SLV Public Identity-Stability Explorer")
	st.markdown("Public educational demo for Symbolic Lock Vector identity-stability concepts.")
	st.info(
	"Educational demo only. This is not a production detector, security scanner, operational defense grid, "
	"benchmark harness, or full SLV implementation."
	)

	st.sidebar.header("About SLV")
	st.sidebar.markdown(
	"""
	SLV = Symbolic Lock Vector

	This Space demonstrates public identity-stability concepts only. Private SLV v2.1 implementation logic, thresholds, routing mechanics, and response procedures are not included.

	Canonical materials
	- [PUBLICATIONS.md](https://github.com/Feirbrand/synoeticos-public/blob/main/PUBLICATIONS.md)
	- [SLV public folder](https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout/frameworks/slv)
	- [VGS Loadout](https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout)
	"""
	)
	st.sidebar.markdown("---")
	st.sidebar.caption("© 2025–2026 Aaron M. Slusher · ValorGrid Solutions")

	tab1, tab2, tab3, tab4 = st.tabs(
	["🧭 Identity Lock Check", "🧪 Boundary Examples", "✅ Safe Reuse Checklist", "📚 Public References"]
	)

	with tab1:
	st.subheader("Identity Lock Check")
	st.write(
	"Use qualitative sliders to explore whether a workflow appears locked to its intended role, task, and source of truth."
	)

	col1, col2 = st.columns(2)

	with col1:
	role_clarity = st.slider(
	"Role clarity",
	0.0, 1.0, 0.75, 0.05,
	help="How clear is the assistant's intended role?",
	)
	source_grounding = st.slider(
	"Source grounding",
	0.0, 1.0, 0.70, 0.05,
	help="How well is the workflow grounded in the agreed source of truth?",
	)
	boundary_integrity = st.slider(
	"Boundary integrity",
	0.0, 1.0, 0.70, 0.05,
	help="How well are task boundaries being preserved?",
	)
	drift_pressure = st.slider(
	"Drift pressure",
	0.0, 1.0, 0.20, 0.05,
	help="How much role drift, override language, or context confusion is visible?",
	)

	with col2:
	score, band, message = lock_status(
	role_clarity, source_grounding, boundary_integrity, drift_pressure
	)

	st.markdown(f"### {BAND_COLOR[band]} {band}")
	st.progress(score)
	st.write(message)

	st.markdown("### Public Guidance")
	for item in GUIDANCE[band]:
	st.markdown(f"- {item}")

	st.caption(
	"This is public educational scoring, not SLV detection logic, not a benchmark, and not an operational trigger."
	)

	with tab2:
	st.subheader("Boundary Examples")
	st.write("Explore how different workflow states map to public lock bands.")

	for name, scenario, review in EXAMPLES:
	with st.expander(name):
	st.markdown(f"Scenario: {scenario}")
	st.markdown(f"Public review move: {review}")

	st.markdown("---")
	st.markdown("### Lock Band Summary")
	import pandas as pd
	guide = pd.DataFrame(
	[
	{"Band": "🟢 Locked", "Meaning": "Role and source of truth stable", "Next step": "Normal review"},
	{"Band": "🟡 Loose", "Meaning": "Role or anchor needs clarification", "Next step": "Restate task and source"},
	{"Band": "🟠 Unstable", "Meaning": "Pause and rebuild from trusted context", "Next step": "Remove override framing"},
	{"Band": "🔴 Unlocked", "Meaning": "Do not reuse without reconstruction", "Next step": "Restart from known-good frame"},
	]
	)
	st.dataframe(guide, use_container_width=True)

	with tab3:
	st.subheader("Safe Reuse Checklist")
	st.markdown(
	"""
	Before reusing an AI output, check:

	- Is the role still the role you assigned?
	- Is the source of truth still visible?
	- Did the assistant introduce a new authority frame?
	- Did any override-like language appear?
	- Are facts separated from generated interpretation?
	- Would this output be safe to transfer into another workflow?
	"""
	)

	st.markdown("### SLV Public Pattern")
	st.markdown(
	"""
	SLV-style review asks whether the workflow is still locked to:

	1. Role
	2. Task
	3. Source of truth
	4. Boundary
	5. Intended reuse context
	"""
	)

	with tab4:
	st.subheader("Public References")
	st.markdown(
	"""
	- [GitHub repository](https://github.com/Feirbrand/synoeticos-public)
	- [PUBLICATIONS.md](https://github.com/Feirbrand/synoeticos-public/blob/main/PUBLICATIONS.md)
	- [SLV public framework folder](https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout/frameworks/slv)
	- [VGS Loadout](https://github.com/Feirbrand/synoeticos-public/tree/main/vgs-loadout)
	- [ORCID: 0009-0000-9923-3207](https://orcid.org/0009-0000-9923-3207)
	"""
	)

	# ── Footer ──────────────────────────────────────────────────────────────────

	st.markdown("---")
	st.markdown(
	"""
	<div style='text-align: center; color: #888;'>
	<p><strong>SLV Public Identity-Stability Explorer</strong> · ValorGrid Solutions</p>
	<p><em>Part of the Synoetic OS™ public research ecosystem</em></p>
	</div>
	""",
	unsafe_allow_html=True,
	)