Update app.py
Browse files
app.py
CHANGED
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@@ -43,6 +43,10 @@ def _sha256(path: str) -> str:
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return "unknown"
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def _load_core_from_file(path: str):
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path = __os.path.abspath(path)
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if not __os.path.exists(path):
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return None
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@@ -55,8 +59,10 @@ def _load_core_from_file(path: str):
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return mod
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def _force_import_core():
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_purge_spine_modules()
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forced = __os.environ.get("SPINE_CORE_PATH")
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if forced and __os.path.exists(forced):
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mod = _load_core_from_file(forced)
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@@ -64,6 +70,7 @@ def _force_import_core():
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print("[CORE] forced path:", forced, "sha:", _sha256(forced))
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return mod
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for rel in [
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"spine_coder_core.py",
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"spine_coder/spine_coder_core.py",
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@@ -76,6 +83,7 @@ def _force_import_core():
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print("[CORE] loaded file:", p, "sha:", _sha256(p))
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return mod
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for modname in [
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"spine_coder.spine_coder.spine_coder_core",
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"spine_coder.spine_coder_core",
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@@ -100,7 +108,7 @@ try:
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except Exception:
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_active_src = "unknown"
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-
# ---- One-time startup probe ----------------------------
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try:
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_probe_note = "Discectomies at C4–C5, C5–C6, and C6–C7. Interbody cages and anterior plate spanning C4–C7."
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_probe = suggest_with_cpt_billing(_probe_note, payer="Medicare", top_k=5)
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@@ -219,6 +227,7 @@ def _core_path() -> str:
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except Exception:
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return "unknown"
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SUGG_COLS = [
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"CPT", "Description", "Rationale",
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"Confidence", "Primary", "Category", "Laterality", "Units"
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@@ -227,6 +236,7 @@ EMPTY_SUGG_DF = pd.DataFrame(columns=SUGG_COLS)
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EMPTY_MODS_DF = pd.DataFrame([{"modifier": "—", "reason": ""}])
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def _coalesce_rows(result: Dict[str, Any]) -> Tuple[pd.DataFrame, Dict[str, Any]]:
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if not isinstance(result, dict):
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return EMPTY_SUGG_DF, {}
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@@ -239,6 +249,7 @@ def _coalesce_rows(result: Dict[str, Any]) -> Tuple[pd.DataFrame, Dict[str, Any]
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continue
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mods = s.get("modifiers", []) or []
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row_lat = (s.get("laterality") or "").strip().lower()
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if not row_lat:
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if isinstance(mods, list) and "LT" in mods:
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@@ -262,7 +273,7 @@ def _coalesce_rows(result: Dict[str, Any]) -> Tuple[pd.DataFrame, Dict[str, Any]
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"Units": s.get("units", 1),
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})
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-
#
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segs: List[str] = []
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inters_list: List[str] = []
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lvl_lat = ""
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@@ -274,7 +285,7 @@ def _coalesce_rows(result: Dict[str, Any]) -> Tuple[pd.DataFrame, Dict[str, Any]
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elif isinstance(levels_obj, list):
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segs = [str(x) for x in levels_obj]
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-
#
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flags_obj = result.get("flags")
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if isinstance(flags_obj, list):
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flags_list = [str(x) for x in flags_obj]
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@@ -346,7 +357,7 @@ def run_inference(note: str, payer: str, top_k: int, session_id: str):
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try:
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result = suggest_with_cpt_billing(note=note, payer=payer, top_k=top_k)
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if DEBUG:
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print("[DEBUG] build/region/laterality/flags:",
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result.get("build"), result.get("region"),
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result.get("laterality"), result.get("flags"))
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except Exception as e:
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@@ -406,7 +417,7 @@ def run_probe(session_id: str) -> Tuple[str, str]:
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tests = [
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("Implicit TLIF",
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"Left facetectomy L4–L5 with PEEK interbody cage and pedicle screws; rods secured.",
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["22633"],
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),
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("ACDF chain w/ plate",
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"Discectomies at C4–C5, C5–C6, and C6–C7. Interbody cages and anterior plate spanning C4–C7.",
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@@ -417,10 +428,12 @@ def run_probe(session_id: str) -> Tuple[str, str]:
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["00000"],
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),
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]
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probe = suggest_with_cpt_billing(tests[1][1], payer="Medicare", top_k=10)
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build = probe.get("build","")
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info_lines.append(f"**Core path:** `{core_path}` \n**Build:** `{build}`")
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for label, note, expect_codes in tests:
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res = suggest_with_cpt_billing(note, payer="Medicare", top_k=10)
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codes = [s.get("cpt") for s in (res.get("suggestions") or [])]
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@@ -442,6 +455,7 @@ EXAMPLES = [
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["Posterior cervical foraminotomy right C6–C7; no fusion or instrumentation.", "Medicare", 10],
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["ALIF L5–S1 with structural allograft; non-segmental instrumentation placed.", "Medicare", 10],
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["Removal of posterior segmental instrumentation T10–L2; no new hardware placed.", "Medicare", 10],
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["TLIF L4–L5 was initiated but aborted midway due to neuromonitoring changes.", "Medicare", 10], # -53
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["Bilateral decompression and foraminotomy at L4–L5 and L5–S1.", "Medicare", 10], # -50
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["Assistant surgeon present; resident not available.", "Medicare", 10], # -82
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@@ -464,27 +478,77 @@ THEME = gr.themes.Soft(
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CUSTOM_CSS = """
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:root { --radius-lg: 16px; }
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.gradio-container { font-family: ui-sans-serif, system-ui, -apple-system; }
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-
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-
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-
.
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-
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.table-wrap { max-height: 520px; overflow: auto; }
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-
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-
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-
#suggestions_table .dataframe
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-
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-
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#suggestions_table .dataframe th:nth-child(1),
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#suggestions_table .dataframe td:nth-child(1) {
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min-width: 120px;
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font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", monospace;
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text-align: center;
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#suggestions_table .dataframe th:nth-child(2),
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#suggestions_table .dataframe td:nth-child(2) {
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#suggestions_table .dataframe th:nth-child(3),
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#suggestions_table .dataframe td:nth-child(3) {
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#suggestions_table .dataframe th:nth-child(6),
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#suggestions_table .dataframe td:nth-child(6) {
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#suggestions_table .dataframe th:nth-child(4),
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#suggestions_table .dataframe td:nth-child(4),
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#suggestions_table .dataframe th:nth-child(5),
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@@ -492,7 +556,10 @@ CUSTOM_CSS = """
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#suggestions_table .dataframe th:nth-child(7),
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#suggestions_table .dataframe td:nth-child(7),
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#suggestions_table .dataframe th:nth-child(8),
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#suggestions_table .dataframe td:nth-child(8) {
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.footer-note { color:#94a3b8; font-size:12px; }
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"""
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)
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with gr.Row():
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with gr.Column(scale=5):
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note_in = gr.Textbox(
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label="Operative Note",
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@@ -525,7 +593,11 @@ with gr.Blocks(theme=THEME, css=CUSTOM_CSS, title="Spine Coder — CPT Billing")
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clear_btn = gr.Button("Clear")
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with gr.Accordion("Quick Examples", open=False):
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gr.Examples(
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with gr.Accordion("Feedback", open=False):
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fb_choice = gr.Radio(choices=["👍", "👎"], label="Was this helpful?")
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probe_btn = gr.Button("Run Probe (core path + 3 tests)")
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probe_md = gr.Markdown("")
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with gr.Column(scale=7):
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gr.Markdown("#### Results")
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summary_md = gr.Markdown("—", elem_classes=["badge-row"])
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table = gr.Dataframe(
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value=EMPTY_SUGG_DF,
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label="CPT Suggestions",
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elem_id="suggestions_table",
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)
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gr.Markdown("### Case Modifiers (visit-level)")
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case_mods_table = gr.Dataframe(
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value=EMPTY_MODS_DF.copy(),
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run_btn.click(run_inference, inputs=run_inputs, outputs=run_outputs)
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note_in.submit(run_inference, inputs=run_inputs, outputs=run_outputs)
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clear_btn.click(
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fb_submit.click(record_feedback, inputs=[session_id, fb_choice, fb_text], outputs=fb_status)
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export_btn.click(do_export, inputs=[session_id], outputs=[export_file])
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probe_btn.click(run_probe, inputs=[session_id], outputs=[probe_md, warn_md])
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if __name__ == "__main__":
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demo.launch()
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return "unknown"
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def _load_core_from_file(path: str):
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"""
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Load spine_coder_core.py directly from a given path (bypass module cache).
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Register in sys.modules BEFORE exec to enable imports inside the core.
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"""
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path = __os.path.abspath(path)
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if not __os.path.exists(path):
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return None
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return mod
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def _force_import_core():
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"""Order: purge caches → SPINE_CORE_PATH → local files → package modules."""
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_purge_spine_modules()
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# 1) Explicit override
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forced = __os.environ.get("SPINE_CORE_PATH")
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if forced and __os.path.exists(forced):
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mod = _load_core_from_file(forced)
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print("[CORE] forced path:", forced, "sha:", _sha256(forced))
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return mod
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# 2) Likely file paths near app
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for rel in [
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"spine_coder_core.py",
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"spine_coder/spine_coder_core.py",
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print("[CORE] loaded file:", p, "sha:", _sha256(p))
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return mod
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# 3) Package modules
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for modname in [
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"spine_coder.spine_coder.spine_coder_core",
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"spine_coder.spine_coder_core",
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except Exception:
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_active_src = "unknown"
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# ---- One-time startup probe (prints to Space logs) ----------------------------
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try:
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_probe_note = "Discectomies at C4–C5, C5–C6, and C6–C7. Interbody cages and anterior plate spanning C4–C7."
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_probe = suggest_with_cpt_billing(_probe_note, payer="Medicare", top_k=5)
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except Exception:
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return "unknown"
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# Display columns (per-row modifiers are deliberately not shown here)
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SUGG_COLS = [
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"CPT", "Description", "Rationale",
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"Confidence", "Primary", "Category", "Laterality", "Units"
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EMPTY_MODS_DF = pd.DataFrame([{"modifier": "—", "reason": ""}])
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def _coalesce_rows(result: Dict[str, Any]) -> Tuple[pd.DataFrame, Dict[str, Any]]:
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"""Build the suggestions table (no modifier columns) and meta badges."""
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if not isinstance(result, dict):
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return EMPTY_SUGG_DF, {}
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continue
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mods = s.get("modifiers", []) or []
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# Derive row laterality
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row_lat = (s.get("laterality") or "").strip().lower()
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if not row_lat:
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if isinstance(mods, list) and "LT" in mods:
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"Units": s.get("units", 1),
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})
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# Normalize levels
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segs: List[str] = []
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inters_list: List[str] = []
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lvl_lat = ""
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elif isinstance(levels_obj, list):
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segs = [str(x) for x in levels_obj]
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# Normalize flags
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flags_obj = result.get("flags")
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if isinstance(flags_obj, list):
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flags_list = [str(x) for x in flags_obj]
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try:
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result = suggest_with_cpt_billing(note=note, payer=payer, top_k=top_k)
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if DEBUG:
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print("[DEBUG] build/region/laterality/flags]:",
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result.get("build"), result.get("region"),
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result.get("laterality"), result.get("flags"))
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except Exception as e:
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tests = [
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("Implicit TLIF",
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"Left facetectomy L4–L5 with PEEK interbody cage and pedicle screws; rods secured.",
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["22633"], # expect
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),
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("ACDF chain w/ plate",
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"Discectomies at C4–C5, C5–C6, and C6–C7. Interbody cages and anterior plate spanning C4–C7.",
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["00000"],
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),
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]
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# Run once to get build
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probe = suggest_with_cpt_billing(tests[1][1], payer="Medicare", top_k=10)
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build = probe.get("build","")
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info_lines.append(f"**Core path:** `{core_path}` \n**Build:** `{build}`")
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# Execute each test
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for label, note, expect_codes in tests:
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res = suggest_with_cpt_billing(note, payer="Medicare", top_k=10)
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codes = [s.get("cpt") for s in (res.get("suggestions") or [])]
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["Posterior cervical foraminotomy right C6–C7; no fusion or instrumentation.", "Medicare", 10],
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["ALIF L5–S1 with structural allograft; non-segmental instrumentation placed.", "Medicare", 10],
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["Removal of posterior segmental instrumentation T10–L2; no new hardware placed.", "Medicare", 10],
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# Case-modifier smoke tests:
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["TLIF L4–L5 was initiated but aborted midway due to neuromonitoring changes.", "Medicare", 10], # -53
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["Bilateral decompression and foraminotomy at L4–L5 and L5–S1.", "Medicare", 10], # -50
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["Assistant surgeon present; resident not available.", "Medicare", 10], # -82
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CUSTOM_CSS = """
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:root { --radius-lg: 16px; }
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.gradio-container { font-family: ui-sans-serif, system-ui, -apple-system; }
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+
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/* Header card */
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.header-card {
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border-radius: 18px;
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padding: 18px;
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border: 1px solid #1f2937;
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background: linear-gradient(180deg,#0f172a,#0b1220);
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color: #e5e7eb;
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}
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.badge-row code {
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margin-right: 8px;
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border-radius: 12px;
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padding: 2px 8px;
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background: #111827;
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color: #e5e7eb;
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}
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/* Table container */
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.table-wrap { max-height: 520px; overflow: auto; }
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/* Suggestions table target */
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#suggestions_table .dataframe {
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font-size: 15px;
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width: 100% !important;
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| 505 |
+
table-layout: auto !important;
|
| 506 |
+
border-collapse: collapse;
|
| 507 |
+
}
|
| 508 |
+
#suggestions_table .dataframe th,
|
| 509 |
+
#suggestions_table .dataframe td {
|
| 510 |
+
white-space: normal;
|
| 511 |
+
word-wrap: break-word;
|
| 512 |
+
text-align: left;
|
| 513 |
+
vertical-align: top;
|
| 514 |
+
padding: 10px 12px;
|
| 515 |
+
}
|
| 516 |
+
|
| 517 |
+
/* Column sizing (1-indexed):
|
| 518 |
+
1=CPT, 2=Description, 3=Rationale, 4=Confidence,
|
| 519 |
+
5=Primary, 6=Category, 7=Laterality, 8=Units */
|
| 520 |
+
|
| 521 |
+
/* CPT — wider & no wrap, monospace, centered */
|
| 522 |
#suggestions_table .dataframe th:nth-child(1),
|
| 523 |
#suggestions_table .dataframe td:nth-child(1) {
|
| 524 |
+
min-width: 120px;
|
| 525 |
+
max-width: 140px;
|
| 526 |
+
white-space: nowrap !important;
|
| 527 |
font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", monospace;
|
| 528 |
+
text-align: center;
|
| 529 |
+
}
|
| 530 |
+
|
| 531 |
+
/* Description — roomy */
|
| 532 |
#suggestions_table .dataframe th:nth-child(2),
|
| 533 |
+
#suggestions_table .dataframe td:nth-child(2) {
|
| 534 |
+
min-width: 360px;
|
| 535 |
+
max-width: 560px;
|
| 536 |
+
}
|
| 537 |
+
|
| 538 |
+
/* Rationale — roomy */
|
| 539 |
#suggestions_table .dataframe th:nth-child(3),
|
| 540 |
+
#suggestions_table .dataframe td:nth-child(3) {
|
| 541 |
+
min-width: 320px;
|
| 542 |
+
max-width: 520px;
|
| 543 |
+
}
|
| 544 |
+
|
| 545 |
+
/* Category — a bit wider */
|
| 546 |
#suggestions_table .dataframe th:nth-child(6),
|
| 547 |
+
#suggestions_table .dataframe td:nth-child(6) {
|
| 548 |
+
min-width: 180px;
|
| 549 |
+
}
|
| 550 |
+
|
| 551 |
+
/* Keep tiny columns compact */
|
| 552 |
#suggestions_table .dataframe th:nth-child(4),
|
| 553 |
#suggestions_table .dataframe td:nth-child(4),
|
| 554 |
#suggestions_table .dataframe th:nth-child(5),
|
|
|
|
| 556 |
#suggestions_table .dataframe th:nth-child(7),
|
| 557 |
#suggestions_table .dataframe td:nth-child(7),
|
| 558 |
#suggestions_table .dataframe th:nth-child(8),
|
| 559 |
+
#suggestions_table .dataframe td:nth-child(8) {
|
| 560 |
+
min-width: 90px;
|
| 561 |
+
}
|
| 562 |
+
|
| 563 |
.footer-note { color:#94a3b8; font-size:12px; }
|
| 564 |
"""
|
| 565 |
|
|
|
|
| 577 |
)
|
| 578 |
|
| 579 |
with gr.Row():
|
| 580 |
+
# Inputs
|
| 581 |
with gr.Column(scale=5):
|
| 582 |
note_in = gr.Textbox(
|
| 583 |
label="Operative Note",
|
|
|
|
| 593 |
clear_btn = gr.Button("Clear")
|
| 594 |
|
| 595 |
with gr.Accordion("Quick Examples", open=False):
|
| 596 |
+
gr.Examples(
|
| 597 |
+
examples=EXAMPLES,
|
| 598 |
+
inputs=[note_in, payer_dd, topk],
|
| 599 |
+
label="Click a row to load an example"
|
| 600 |
+
)
|
| 601 |
|
| 602 |
with gr.Accordion("Feedback", open=False):
|
| 603 |
fb_choice = gr.Radio(choices=["👍", "👎"], label="Was this helpful?")
|
|
|
|
| 614 |
probe_btn = gr.Button("Run Probe (core path + 3 tests)")
|
| 615 |
probe_md = gr.Markdown("")
|
| 616 |
|
| 617 |
+
# Results
|
| 618 |
with gr.Column(scale=7):
|
| 619 |
gr.Markdown("#### Results")
|
| 620 |
summary_md = gr.Markdown("—", elem_classes=["badge-row"])
|
| 621 |
|
| 622 |
+
# Suggestions table (no modifier columns)
|
| 623 |
table = gr.Dataframe(
|
| 624 |
value=EMPTY_SUGG_DF,
|
| 625 |
label="CPT Suggestions",
|
|
|
|
| 630 |
elem_id="suggestions_table",
|
| 631 |
)
|
| 632 |
|
| 633 |
+
# Case-level modifiers table
|
| 634 |
gr.Markdown("### Case Modifiers (visit-level)")
|
| 635 |
case_mods_table = gr.Dataframe(
|
| 636 |
value=EMPTY_MODS_DF.copy(),
|
|
|
|
| 657 |
run_btn.click(run_inference, inputs=run_inputs, outputs=run_outputs)
|
| 658 |
note_in.submit(run_inference, inputs=run_inputs, outputs=run_outputs)
|
| 659 |
|
| 660 |
+
clear_btn.click(
|
| 661 |
+
on_clear,
|
| 662 |
+
outputs=[note_in, payer_dd, topk, table, case_mods_table, summary_md, json_out, warn_md, session_id]
|
| 663 |
+
)
|
| 664 |
|
| 665 |
fb_submit.click(record_feedback, inputs=[session_id, fb_choice, fb_text], outputs=fb_status)
|
| 666 |
export_btn.click(do_export, inputs=[session_id], outputs=[export_file])
|
|
|
|
| 668 |
probe_btn.click(run_probe, inputs=[session_id], outputs=[probe_md, warn_md])
|
| 669 |
|
| 670 |
if __name__ == "__main__":
|
| 671 |
+
# If running locally: set server_name to 0.0.0.0 for external access; Space ignores.
|
| 672 |
demo.launch()
|