Initial commit: CI Agent competitive-intelligence monitoring app

FastAPI + Celery + Next.js + Postgres/Redis app with company monitoring,
source collection, LLM-based change analysis, enrichment, and account
security (Turnstile, escalating lockout, email verification).

apps/api/tests/unit/test_report_generation_prompt.py

@@ -0,0 +1,69 @@
+"""generate_report(): the company_enrichment evidence block reaches the
+prompt exactly like company_profile does, and is an honest empty dict
+when no enrichment data is available - never fabricated."""
+
+from __future__ import annotations
+
+import pytest
+
+from app.prompts.base import extract_evidence_block
+from app.prompts.report_generation import ReportContent, SwotAnalysis, generate_report
+
+
+class _CapturingLLMProvider:
+    provider_name = "capturing"
+
+    def __init__(self) -> None:
+        self.last_user_prompt: str | None = None
+
+    async def generate_structured(self, system_prompt, user_prompt, response_model):
+        self.last_user_prompt = user_prompt
+        return ReportContent(
+            executive_summary="",
+            company_overview="",
+            market_positioning="",
+            customer_sentiment="",
+            competitor_comparison="",
+            swot=SwotAnalysis(),
+            methodology="",
+            limitations="",
+        )
+
+    async def generate_text(self, system_prompt, user_prompt) -> str:
+        return ""
+
+
+async def _generate(llm: _CapturingLLMProvider, **kwargs) -> None:
+    await generate_report(
+        llm,
+        company_name="Acme Corp",
+        company_aliases=[],
+        competitors=[],
+        monitoring_focus=None,
+        industry=None,
+        documents=[],
+        detected_changes=[],
+        sources_failed=[],
+        **kwargs,
+    )
+
+
+@pytest.mark.asyncio
+async def test_enrichment_data_reaches_the_prompt_as_a_named_evidence_block():
+    llm = _CapturingLLMProvider()
+    await _generate(
+        llm, enrichment={"employee_count": "1001-5000", "funding": {"total_raised": "$1M"}}
+    )
+
+    evidence = extract_evidence_block(llm.last_user_prompt)
+    assert evidence["company_enrichment"]["employee_count"] == "1001-5000"
+    assert evidence["company_enrichment"]["funding"]["total_raised"] == "$1M"
+
+
+@pytest.mark.asyncio
+async def test_no_enrichment_data_is_an_honest_empty_block_not_fabricated():
+    llm = _CapturingLLMProvider()
+    await _generate(llm)  # enrichment defaults to None
+
+    evidence = extract_evidence_block(llm.last_user_prompt)
+    assert evidence["company_enrichment"] == {}