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Create app.py
Browse files
app.py
CHANGED
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@@ -7,6 +7,8 @@ from ingest.health import get_adapter_health
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from ingest.coverage import coverage_summary
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from ingest.discovery import agency_discovery
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from ingest.semantic import semantic_refine, semantic_available
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from analytics.events import log_event
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ALL_ADAPTERS = get_all_adapters()
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@@ -19,12 +21,12 @@ def run_search(
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enable_semantic: bool,
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) -> List[Dict]:
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log_event("search", {"
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if not query:
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return []
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results
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for adapter in ALL_ADAPTERS:
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if not include_stubs and not adapter.is_live:
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@@ -35,12 +37,12 @@ def run_search(
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continue
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try:
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for
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results.append(
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except Exception as e:
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results.append({
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"agency": adapter.name,
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@@ -57,38 +59,35 @@ def run_search(
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return results
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def table_from_results(results
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return [
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[
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r.get("agency"
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r.get("status"
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r.get("title"
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r.get("snippet"
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r.get("url"
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]
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for r in results
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]
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def export_handler(results
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exportable = [r for r in results if r.get("exportable")]
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if not exportable:
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return gr.File.update(visible=False)
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return gr.File.update(
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value=export_results(exportable),
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visible=True
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)
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with gr.Blocks() as app:
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gr.Markdown(
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"# ποΈ Federal FOIA Intelligence Search\n"
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"
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)
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gr.Markdown(
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"βΉοΈ
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"Semantic
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)
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query = gr.Textbox(label="Search query")
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@@ -113,18 +112,32 @@ with gr.Blocks() as app:
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results_table = gr.Dataframe(
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headers=["Agency", "Status", "Title", "Snippet", "URL"],
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)
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export_btn = gr.Button("Export Results (ZIP)", interactive=False)
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export_file = gr.File(visible=False)
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coverage_table = gr.Dataframe(
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headers=["Agency", "Result Count"],
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interactive=False
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)
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discovery_table = gr.Dataframe(
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headers=["Agency", "Status", "Reason"],
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interactive=False
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@@ -144,10 +157,16 @@ with gr.Blocks() as app:
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fn=lambda r: (
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table_from_results(r),
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coverage_summary(r),
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gr.Button.update(interactive=any(x.get("exportable") for x in r))
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),
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inputs=results_state,
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outputs=[
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)
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export_btn.click(
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@@ -156,7 +175,7 @@ with gr.Blocks() as app:
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outputs=export_file
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)
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discovery_table.value = agency_discovery()
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gr.Markdown("## π Adapter Health")
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from ingest.coverage import coverage_summary
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from ingest.discovery import agency_discovery
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from ingest.semantic import semantic_refine, semantic_available
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from ingest.timeline import release_timeline
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from ingest.latency import latency_badges
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from analytics.events import log_event
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ALL_ADAPTERS = get_all_adapters()
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enable_semantic: bool,
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) -> List[Dict]:
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log_event("search", {"len": len(query or "")})
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if not query:
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return []
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results = []
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for adapter in ALL_ADAPTERS:
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if not include_stubs and not adapter.is_live:
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continue
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try:
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docs = adapter.search(query)
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for d in docs:
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d.setdefault("agency", adapter.name)
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d.setdefault("status", "π’ Live" if adapter.is_live else "π Stub")
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d.setdefault("exportable", adapter.is_live)
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results.append(d)
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except Exception as e:
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results.append({
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"agency": adapter.name,
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return results
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def table_from_results(results):
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return [
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[
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r.get("agency"),
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r.get("status"),
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r.get("title"),
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r.get("snippet"),
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r.get("url"),
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]
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for r in results
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]
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def export_handler(results):
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exportable = [r for r in results if r.get("exportable")]
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if not exportable:
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return gr.File.update(visible=False)
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return gr.File.update(value=export_results(exportable), visible=True)
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with gr.Blocks() as app:
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gr.Markdown(
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"# ποΈ Federal FOIA Intelligence Search\n"
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"Public Electronic Reading Rooms only"
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)
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gr.Markdown(
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"βΉοΈ Stub results are informational and cannot be exported.\n\n"
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"Semantic refinement is optional and runs only on returned results."
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)
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query = gr.Textbox(label="Search query")
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results_table = gr.Dataframe(
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headers=["Agency", "Status", "Title", "Snippet", "URL"],
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wrap=True,
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interactive=False
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)
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export_btn = gr.Button("Export Results (ZIP)", interactive=False)
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export_file = gr.File(visible=False)
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gr.Markdown("## π Coverage Heatmap")
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coverage_table = gr.Dataframe(
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headers=["Agency", "Result Count"],
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interactive=False
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)
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gr.Markdown("## π Release Timeline")
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timeline_table = gr.Dataframe(
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headers=["Period", "Documents"],
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interactive=False
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)
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gr.Markdown("## β‘ Agency Latency Badges")
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latency_table = gr.Dataframe(
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headers=["Agency", "Latency (s)", "Badge"],
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interactive=False
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)
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gr.Markdown("## π Agency Discovery")
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discovery_table = gr.Dataframe(
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headers=["Agency", "Status", "Reason"],
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interactive=False
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fn=lambda r: (
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table_from_results(r),
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coverage_summary(r),
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release_timeline(r),
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gr.Button.update(interactive=any(x.get("exportable") for x in r))
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),
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inputs=results_state,
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outputs=[
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results_table,
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coverage_table,
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timeline_table,
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export_btn
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]
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)
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export_btn.click(
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outputs=export_file
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)
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latency_table.value = latency_badges(ALL_ADAPTERS)
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discovery_table.value = agency_discovery()
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gr.Markdown("## π Adapter Health")
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