Fix metrics.json path to persistent data volume (/app/data)

- Track Claude token usage + cost in metrics.json after each call
- Add /metrics JSON endpoint
- Add /metrics-dash visual dashboard (KPIs, charts, burn bars)
- Switch model to claude-3-haiku-20240307 (3.2x cheaper)
- Add per-run cap (50 calls) and daily spend cap ($2.00, env: CLAUDE_DAILY_CAP_USD)

analyze.py

@@ -83,11 +83,11 @@ ALERT_THRESHOLD     = 0.35  # signal_score > this → alert
 # Claude metrics
 # ---------------------------------------------------------------------------
 
-METRICS_FILE = Path(__file__).parent / "metrics.json"
+METRICS_FILE = Path(os.getenv("DATA_DIR", str(Path(__file__).parent / "data"))) / "metrics.json"
 
-# Pricing: Claude Haiku 4.5 — https://www.anthropic.com/pricing
-_PRICE_INPUT_PER_TOKEN  = 0.80 / 1_000_000   # $0.80 per MTok
-_PRICE_OUTPUT_PER_TOKEN = 4.00 / 1_000_000   # $4.00 per MTok
+# Pricing: Claude 3 Haiku — https://www.anthropic.com/pricing
+_PRICE_INPUT_PER_TOKEN  = 0.25 / 1_000_000   # $0.25 per MTok
+_PRICE_OUTPUT_PER_TOKEN = 1.25 / 1_000_000   # $1.25 per MTok
 
 
 def calc_cost(input_tokens: int, output_tokens: int) -> float:
@@ -270,7 +270,7 @@ Fields:
 
     try:
         msg = client.messages.create(
-            model="claude-haiku-4-5",
+            model="claude-3-haiku-20240307",
             max_tokens=256,
             messages=[{"role": "user", "content": prompt}],
         )
@@ -372,6 +372,7 @@ def analyze_articles(
     dry_run: bool = False,
     use_claude: bool = True,
     auto_fetch: bool = True,
+    max_claude_calls: int = 50,
 ) -> None:
     db = get_db()
     migrate_db(db)
@@ -486,6 +487,16 @@ def analyze_articles(
     now              = int(time.time())
     signals_written  = 0
     alerts_triggered = 0
+    claude_calls_this_run = 0
+
+    # Daily spend guard — read current metrics before starting
+    _existing = {}
+    if METRICS_FILE.exists():
+        try:
+            _existing = json.loads(METRICS_FILE.read_text())
+        except Exception:
+            pass
+    DAILY_COST_CAP = float(os.getenv("CLAUDE_DAILY_CAP_USD", "2.0"))
 
     for row, matches, cov, full_text in final:
         slug  = row["slug"]
@@ -507,10 +518,19 @@ def analyze_articles(
         # ------------------------------------------------------------------
         claude_data: dict = {}
         if use_claude and not dry_run and os.environ.get("ANTHROPIC_API_KEY"):
-            print(f"  [claude] {slug[:50]}")
-            claude_data, _in_tok, _out_tok = claude_extract(title, full_text, list(matches.keys()))
-            if _in_tok:
-                update_metrics(_in_tok, _out_tok)
+            if claude_calls_this_run >= max_claude_calls:
+                print(f"  [claude] ⚠️  per-run cap ({max_claude_calls}) reached — skipping remaining articles")
+                use_claude = False
+            elif _existing.get("total_cost_usd", 0.0) >= DAILY_COST_CAP:
+                print(f"  [claude] ⚠️  daily spend cap ${DAILY_COST_CAP} reached — skipping Claude for remaining articles")
+                use_claude = False
+            else:
+                print(f"  [claude] {slug[:50]}")
+                claude_data, _in_tok, _out_tok = claude_extract(title, full_text, list(matches.keys()))
+                if _in_tok:
+                    update_metrics(_in_tok, _out_tok)
+                    _existing["total_cost_usd"] = _existing.get("total_cost_usd", 0.0) + calc_cost(_in_tok, _out_tok)
+                    claude_calls_this_run += 1
 
         # ------------------------------------------------------------------
         # Phase 6 — yfinance momentum + scoring
@@ -587,9 +607,28 @@ def analyze_articles(
 
 def main() -> None:
     import sys
-    force   = "--force" in sys.argv
-    dry_run = "--dry"   in sys.argv
-    analyze_articles(force=force, dry_run=dry_run)
+    force     = "--force"     in sys.argv
+    dry_run   = "--dry-run"   in sys.argv or "--dry" in sys.argv
+    no_claude = "--no-claude" in sys.argv
+
+    # --max-claude=N  override per-run cap
+    max_calls = 50
+    for arg in sys.argv:
+        if arg.startswith("--max-claude="):
+            try:
+                max_calls = int(arg.split("=", 1)[1])
+            except ValueError:
+                pass
+
+    if force:
+        print(f"[analyze] ⚠️  --force mode: re-analyzing ALL articles (claude cap={max_calls})")
+
+    analyze_articles(
+        force=force,
+        dry_run=dry_run,
+        use_claude=not no_claude,
+        max_claude_calls=max_calls,
+    )
 
 
 if __name__ == "__main__":

dashboard.py

@@ -28,12 +28,7 @@ from report import _c25_day_return, _unrealised_pnl, _realised_pnl, _total_fees,
 
 CAPITAL      = 10_000
 LOG_DIR      = Path(os.getenv("LOG_DIR", str(Path(__file__).parent / "logs")))
-METRICS_FILE = Path(__file__).parent / "metrics.json"
-REFRESH      = 60   # seconds
-
-CAPITAL      = 10_000
-LOG_DIR      = Path(os.getenv("LOG_DIR", str(Path(__file__).parent / "logs")))
-METRICS_FILE = Path(__file__).parent / "metrics.json"
+METRICS_FILE = Path(os.getenv("DATA_DIR", str(Path(__file__).parent / "data"))) / "metrics.json"
 REFRESH      = 60   # seconds
 
 app = Flask(__name__)
@@ -246,9 +241,9 @@ METRICS_TEMPLATE = """<!DOCTYPE html>
       </tr>
     </thead>
     <tbody>
-      <tr><td>Model</td><td class="mono">claude-haiku-4-5</td><td>Anthropic</td></tr>
-      <tr><td>Input price</td><td class="mono">$0.80 / MTok</td><td>${{ "%.6f"|format(0.80/1_000_000) }} per token</td></tr>
-      <tr><td>Output price</td><td class="mono">$4.00 / MTok</td><td>${{ "%.6f"|format(4.00/1_000_000) }} per token</td></tr>
+      <tr><td>Model</td><td class="mono">claude-3-haiku-20240307</td><td>Anthropic</td></tr>
+      <tr><td>Input price</td><td class="mono">$0.25 / MTok</td><td>${{ "%.6f"|format(0.25/1_000_000) }} per token</td></tr>
+      <tr><td>Output price</td><td class="mono">$1.25 / MTok</td><td>${{ "%.6f"|format(1.25/1_000_000) }} per token</td></tr>
       <tr><td>Total calls</td><td class="mono">{{ total_calls }}</td><td>articles sent to Claude</td></tr>
       <tr><td>Total input tokens</td><td class="mono">{{ "{:,}".format(total_input_tokens) }}</td><td>cost ${{ "%.5f"|format(cost_input) }}</td></tr>
       <tr><td>Total output tokens</td><td class="mono">{{ "{:,}".format(total_output_tokens) }}</td><td>cost ${{ "%.5f"|format(cost_output) }}</td></tr>
@@ -298,7 +293,7 @@ window.addEventListener('resize', () => { barChart.resize(); donut.resize(); });
 </script>
 {% endif %}
 
-<div class="footer">MoneyMaker · claude-haiku-4-5 · metrics updated on each analyze run</div>
+<div class="footer">MoneyMaker · claude-3-haiku-20240307 · metrics updated on each analyze run</div>
 </body>
 </html>
 """