feat: comprehensive docs, unit tests, docker-compose app services

- Add scheduler and ingestion unit tests (test_scheduler_unit.py, test_ingestion_unit.py)
- Add all 13 app services + dashboard to docker-compose.yml
- Add full documentation suite: API reference, Helm reference, Docker deployment guide,
  3 architecture diagrams (K8s, Docker Compose, data pipeline), AI agent guide,
  backup/restore guide, observability/metrics reference, per-service docs
- Add intelligence pipeline deep-dive docs with Mermaid diagrams
- Update README with documentation index and links
- Add specs for comprehensive-quality-docs, intelligence-pipeline-deep-dive,
  sanitized-pipeline-docs

docs/sanitized-pipeline-deep-dive/diagrams/weighted-signal-computation.md

@@ -0,0 +1,58 @@
+# Weighted Signal Computation
+
+```mermaid
+flowchart TD
+    DOC["Document Signal Input\n(published_at, source_credibility,\nnovelty_score, extraction_confidence,\nmarket_ctx)"]
+
+    DOC --> GATE
+    DOC --> REC
+    DOC --> CRED
+    DOC --> NOV
+    DOC --> MKT
+
+    subgraph GATE["Confidence Gate"]
+        G1["extraction_confidence ≥ 0.2?"]
+        G1 -->|"Yes"| G2["gate = 1.0"]
+        G1 -->|"No"| G3["gate = 0.0\n(signal zeroed out)"]
+    end
+
+    subgraph REC["Recency Decay"]
+        R1["w = 2^(−age_hours / half_life)"]
+        R2["Half-lives per window:\nintraday: 2h\n1d: 12h\n7d: 72h\n30d: 240h\n90d: 720h"]
+        R3["Floor: min_recency_weight = 0.01"]
+        R1 --- R2
+        R1 --- R3
+    end
+
+    subgraph CRED["Source Credibility"]
+        C1["Clamp to [0.1, 1.0]"]
+        C2["Apply exponent\n(default 1.0)"]
+        C1 --> C2
+    end
+
+    subgraph NOV["Novelty Bonus"]
+        N1["bonus = novelty_score × 0.25"]
+        N2["Range: [0.0, 0.25]\n(up to 25% boost)"]
+        N1 --- N2
+    end
+
+    subgraph MKT["Environmental Context Multiplier"]
+        M1["Volatility boost\nlog₁₊(excess) × 0.15\ncapped at 0.30"]
+        M2["Volume surge boost\nvolume_change > 50% → +0.15"]
+        M3["multiplier = 1.0 + boost\n(always ≥ 1.0)"]
+        M1 --> M3
+        M2 --> M3
+    end
+
+    GATE --> FORMULA
+    REC --> FORMULA
+    CRED --> FORMULA
+    NOV --> FORMULA
+    MKT --> FORMULA
+
+    FORMULA["combined = gate × recency × credibility\n× (1 + novelty_bonus)\n× market_context_multiplier"]
+
+    FORMULA --> SW["SignalWeight\nservices/aggregation/scoring.py"]
+
+    SW --> WS["WeightedSignal\n{ document_id, weight: SignalWeight,\nsentiment_value, impact_score }"]
+```