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6303ae6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 | """Shared output helpers for the Analysis and Proposal screens.
This module holds the small, reusable pieces both screens rely on:
* clean, user-facing status copy that never leaks provider/model names,
task names, prompt sizes, or raw error text;
* the mapping from an internal stage-meta dict to a clean user state;
* the developer-only stage-detail renderer (used only when
``SHOW_DEBUG_PANEL=true``).
Keeping these here means the visible screens stay focused on layout while
the "what may the user see" rules live in one place.
"""
from __future__ import annotations
import streamlit as st
from app.ui import theme
SUB_SCORE_LABELS = {
"profile_fit": "Profile Fit",
"portfolio_proof": "Portfolio Proof",
"client_quality": "Client Quality",
"competition": "Competition",
"budget_value": "Budget / Value",
}
# Beginner-checklist result β status-chip kind.
_BEGINNER_RESULT_CHIP = {
"Apply Confidently": "ready",
"Proceed With Caution": "neutral",
"Do Not Proceed": "missing",
}
# Clean user-facing strings β surfaced regardless of provider/status.
USER_FACING_ERROR = (
"Analysis could not be completed because the AI service failed. "
"Please try again."
)
USER_FACING_BASIC_MODE = "Analysis completed in basic mode."
def confidence_badge(label: str) -> str:
color = {"HIGH": "π’", "MEDIUM": "π‘", "LOW": "π΄"}.get(label, "βͺ")
return f"{color} {label}"
# Backwards-compatible private alias (kept for any existing imports).
_confidence_badge = confidence_badge
def _stage_user_state(meta: dict) -> str:
"""Map an internal stage meta dict to a user-facing state.
Returns one of: ``"ok"`` (API ran cleanly), ``"basic"`` (deterministic
fallback used), ``"error"`` (API failed and no fallback allowed).
"""
meta = meta or {}
if meta.get("used_api"):
return "ok"
if (meta.get("status") or "") == "local_placeholder":
return "basic"
return "error"
def _render_stage_banner_clean(state: str) -> None:
"""Render a single clean user-facing banner per stage.
Never names the provider, model, task name, or raw error reason on
the main UI. Technical details are only available behind the debug
panel.
"""
if state == "ok":
return
if state == "basic":
st.info(USER_FACING_BASIC_MODE)
return
st.error(USER_FACING_ERROR)
def render_clean_stage_banner(*states: str) -> None:
"""Render one consolidated clean banner covering several stages."""
if "error" in states:
st.error(USER_FACING_ERROR)
elif "basic" in states:
st.info(USER_FACING_BASIC_MODE)
def _render_debug_stage_details(*, match_meta: dict, rec_meta: dict) -> None:
"""Render technical per-stage details (debug panel only)."""
def _row(meta: dict, label: str, task_name: str) -> None:
used_api = bool(meta.get("used_api"))
status = meta.get("status") or "β"
provider = meta.get("provider") or "β"
model = meta.get("model") or "β"
error_message = meta.get("error_message") or ""
if used_api:
st.success(f"`{task_name}` used LLM API (`{provider}` / `{model}`).")
elif status == "local_placeholder":
st.warning(
f"LOCAL FALLBACK β API NOT USED for `{task_name}`. "
+ (error_message or f"{label} reverted to deterministic logic.")
)
else:
st.error(
f"LLM call for `{task_name}` failed (`{status}`). "
+ (error_message or f"{label} could not run via the API.")
)
_row(match_meta or {}, "Opportunity matching", "opportunity_matching")
_row(rec_meta or {}, "Recommendation reasoning", "recommendation_generation")
def _render_debug_score_components(score_result) -> None:
"""Render per-component score provenance (debug panel only).
Shows the evidence IDs, per-component confidence, and ``source`` that
are intentionally hidden from the normal UI. ``score_result`` may be a
plain object without ``components`` (older callers / tests) β those
are skipped gracefully.
"""
components = getattr(score_result, "components", {}) or {}
if not components:
return
st.markdown("**Score components:**")
fp = getattr(score_result, "job_fingerprint", "")
if fp:
st.caption(f"scored for job_fingerprint `{fp}`")
for key, comp in components.items():
label = SUB_SCORE_LABELS.get(key, key)
value = getattr(comp, "value", 0)
max_value = getattr(comp, "max_value", 0)
confidence = getattr(comp, "confidence", "β")
source = getattr(comp, "source", "β")
ids = getattr(comp, "evidence_ids_used", []) or []
st.write(
f"- **{label}** {value}/{max_value} Β· confidence `{confidence}` Β· "
f"source `{source}`"
)
if ids:
st.caption("evidence: " + ", ".join(f"`{i}`" for i in ids))
# ---------------------------------------------------------------------------
# Beginner Job Check
# ---------------------------------------------------------------------------
def render_beginner_check_card(beginner_eval: dict, *, show_debug: bool = False) -> None:
"""Render the clean, user-facing Beginner Job Check card.
Shows only the result chip and at most two short reasons. Raw extracted
field internals and rule-engine details are never shown here β they
appear only inside the debug breakdown (``show_debug=True``).
"""
if not beginner_eval:
return
result = beginner_eval.get("result") or "β"
reasons = (beginner_eval.get("reasons") or [])[:2]
with st.container(border=True):
theme.section_label("Beginner Job Check")
st.markdown(
theme.status_chip(result, _BEGINNER_RESULT_CHIP.get(result, "neutral")),
unsafe_allow_html=True,
)
for reason in reasons:
st.write(f"- {reason}")
if show_debug:
_render_debug_beginner_details(beginner_eval)
def _render_debug_beginner_details(beginner_eval: dict) -> None:
"""Render the full beginner rule breakdown (debug panel only)."""
be = beginner_eval or {}
fields = be.get("fields", {}) or {}
st.markdown("**Beginner evaluator breakdown:**")
pay = fields.get("payment_verification", {})
st.write(
f"- Payment verification: `{pay.get('result', 'β')}` "
f"(value: {pay.get('value', 'β')})"
)
pc = fields.get("proposal_count", {})
st.write(
f"- Proposal count bucket: `{pc.get('bucket', 'β')}` "
f"(count: {pc.get('count', 'β')})"
)
pa = fields.get("posted_age", {})
st.write(
f"- Posted age bucket: `{pa.get('bucket', 'β')}` "
f"(age_days: {pa.get('age_days', 'β')})"
)
cr = fields.get("client_rating", {})
st.write(
f"- Client rating warning: `{'yes' if cr.get('warning') else 'no'}` "
f"(rating: {cr.get('rating', 'β')})"
)
ex = fields.get("experience_level", {})
st.write(
f"- Experience level warning: `{'yes' if ex.get('warning') else 'no'}` "
f"(level: {ex.get('level', 'β')})"
)
st.write(f"- Triggered rule: `{be.get('triggered_rule', 'β')}`")
if be.get("missing_fields"):
st.caption("Not visible: " + ", ".join(be["missing_fields"]))
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