[{'Text': 'Edited /Users/peterdonaghey/Projects/point-topic-mcp/_explore_gbs.py:\n\n```diff\n@@ -12,93 +12,85 @@\n     return u\n \n def run_js(js, timeout=30):\n-    """Single mongosh call. Returns parsed JSON."""\n     r = subprocess.run(["mongosh", _uri(), "--eval", js, "--quiet"],\n                        capture_output=True, text=True, timeout=timeout)\n     if r.returncode != 0: raise RuntimeError(r.stderr or r.stdout)\n     return json.loads(r.stdout.strip()) if r.stdout.strip() else None\n \n-# ─── THE ENTIRE GBS API IN 2 FUNCTIONS ───────────────────────────\n \n def gbs_get_status(country: str, operator: str = None, period: str = None):\n+    """Single mongosh call. Returns GBS status at any zoom level.\n+\n+    country only     → coverage rollup (operators with/without data)\n+    + operator       → that operator\'s stats records + gaps for period\n+    + period         → specific period (default: current from GlobalVariables)\n     """\n-    ONE mongosh call. Returns status at any level.\n-    \n-    Levels:\n-      country only      → roll-up: total, with data, without, top operators\n-      + operator        → that operator\'s detail for period\n-      + period          → that specific period (default: current)\n-    """\n-    # Single JS eval: get period + operator dataBuild the JS that does everything in one eval\n-    op_filter = f\'name: {json.dumps(operator)}, \' if operator else \'\'\n-    \n-    # We build the aggregation pipeline conditionally\n+    # Build the $lookup sub-pipeline\n+    # Use $let to pass the period from JS closure\n+    lookup_pipeline = [\n+        {"$match": {"$expr": {\n+            "$and": [\n+                {"$eq": ["$operatorId", "$$oid"]},\n+                {"$eq": ["$period", "$$tp"]}\n+            ]\n+        }}}\n+    ]\n+\n     pipeline = [\n         {"$match": {"country": country, "isArchived": {"$ne": True}}},\n     ]\n     if operator:\n         pipeline[0]["$match"]["name"] = operator\n-    \n+\n     pipeline += [\n         {"$lookup": {\n             "from": "Statistics",\n-            "let": {"oid": "$_id"},\n-            "pipeline": [\n-                {"$match": {"$expr": {\n-                    "$and": [\n-                        {"$eq": ["$operatorId", "$$oid"]},\n-                        {"$eq": ["$period", period]} if period else {"$eq": ["$period", "$$periodVal"]}\n-                    ]\n-                }}}\n-            ],\n+            "let": {"oid": "$_id", "tp": "PLACEHOLDER_PERIOD"},\n+            "pipeline": lookup_pipeline,\n             "as": "stats"\n         }},\n         {"$addFields": {"statCount": {"$size": "$stats"}}},\n         {"$project": {"name": 1, "techs": "$technologies", "statCount": 1, "stats": 1}},\n         {"$sort": {"name": 1}},\n     ]\n-    \n-    # Single JS eval: get period + operators\n+\n     period_expr = json.dumps(period) if period else "null"\n-    \n-    # Simpler approach: hardcode the period variable by resolving in JS\n+    pipeline_json = json.dumps(pipeline)\n+\n+    # Single JS eval: resolve period from GV, substitute it, run pipeline\n     js = f"""\n     const gv = db.GlobalVariables.findOne({{isCurrent: true}});\n     const currentPeriod = gv ? gv.currentStatsPeriod : null;\n     const targetPeriod = {period_expr} || currentPeriod;\n-    \n-    const pipeline = {json.dumps(pipeline)};\n-    \n-    // Replace placeholder $periodVal with actual target period\n-    const pipelineStr = JSON.stringify(pipeline).replace(\'"$periodVal"\', JSON.stringify(targetPeriod));\n-    const fixedPipeline = JSON.parse(pipelineStr);\n-    \n-    const operators = db.Operator.aggregate(fixedPipeline).toArray();\n+\n+    const pipeline = JSON.parse({json.dumps(pipeline_json)}.replace(\n+        \'"PLACEHOLDER_PERIOD"\', JSON.stringify(targetPeriod)\n+    ));\n+\n+    const operators = db.Operator.aggregate(pipeline).toArray();\n     EJSON.stringify({{currentPeriod, targetPeriod, operators}});\n     """\n-    \n+\n     result = run_js(js, timeout=60)\n     if not result:\n         return {"error": "No data returned"}\n-    \n+\n     cp = result["currentPeriod"]\n     tp = result["targetPeriod"]\n     operators = result["operators"]\n-    \n+\n     if operator:\n         if not operators:\n             return {"error": f"Operator \'{operator}\' not found in {country}", "period": tp}\n-        return _format_operator(operators[0], cp)\n-    \n+        return _format_operator(operators[0])\n+\n     return _format_country(operators, cp, country)\n \n \n def _format_country(operators, current_period, country):\n-    """Country-level roll-up."""\n     with_data = [o for o in operators if o["statCount"] > 0]\n     without = [o for o in operators if o["statCount"] == 0]\n     total = len(operators)\n-    \n     return {\n         "period": current_period,\n         "country": country,\n@@ -114,18 +106,15 @@\n     }\n \n \n-def _format_operator(op, current_period):\n-    """Single operator detail."""\n-    name = op["name"]\n+def _format_operator(op):\n     stats = op.get("stats", [])\n     techs = op.get("techs", [])\n-    \n-    # Existing records analysis\n+\n     by_state = defaultdict(int)\n     by_type = defaultdict(int)\n     records = []\n     seen_combos = set()\n-    \n+\n     for s in stats:\n         st = s.get("state", 0)\n         by_state[st] += 1\n@@ -141,13 +130,13 @@\n             "state": {1: "pending", 2: "approved", 3: "published"}.get(st, str(st)),\n             "is_estimate": s.get("is_estimate", False),\n         })\n-    \n-    # Gap analysis: only check combos that could reasonably be expected\n-    # base this on techs that actually appear in the data (if any) or the first 3 techs\n+\n+    # Gaps: only check techs that appear in this operator\'s data,\n+    # or the first 3 techs from their profile if no data yet\n     techs_in_use = sorted(set(s.get("tech") for s in stats)) or techs[:3]\n     if not techs_in_use:\n-        techs_in_use = ["?"]  \n-    \n+        techs_in_use = ["?"]\n+\n     gaps = []\n     for t in ["broadband", "mobile", "iptv"]:\n         for tech in techs_in_use:\n@@ -155,11 +144,10 @@\n                 for dom in ["Residential", "Business", "Total"]:\n                     if (t, tech, ch, dom) not in seen_combos:\n                         gaps.append(f"{t}/{tech}/{ch}/{dom}")\n-    \n+\n     state_names = {1: "pending", 2: "approved", 3: "published"}\n-    \n     return {\n-        "name": name,\n+        "name": op["name"],\n         "operator_id": op.get("_id", {}).get("$oid", ""),\n         "technologies": techs,\n         "total_records": len(stats),\n@@ -170,11 +158,6 @@\n         "records": records,\n         "gaps": gaps,\n     }\n-\n-\n-# ─── KEEP EXISTING: add_statistic, create_source, list_operators ─\n-# These already work well and don\'t need changes except adding a \n-# helper to generate an admin URL.\n \n \n # ─── TESTS ───────────────────────────────────────────────────────\n@@ -198,7 +181,6 @@\n print(f"  Records: {op[\'total_records\']}, Combos: {op[\'filled_combos\']}, Gaps: {op[\'gap_count\']}")\n print(f"  States: {op[\'states\']}")\n print(f"  By type: {op[\'by_type\']}")\n-print(f"  Records:")\n for r in op[\'records\']:\n     print(f"    {r[\'type\']:10s} {r[\'tech\']:15s} {r[\'channel\']:15s} {r[\'domain\']:12s} subs={r[\'subscribers\']:>8} ({r[\'state\']})")\n print(f"  Gaps (first 5): {op[\'gaps\'][:5]}")\n@@ -224,10 +206,10 @@\n print(f"  Records: {nodata[\'total_records\']}, Gaps: {nodata[\'gap_count\']}")\n print(f"  Techs: {nodata[\'technologies\']}")\n \n-print("\\n═══ 6. Admin URL helper ═══")\n-ADMIN_BASE = "https://research-app.pt-research.net/admin"\n+print("\\n═══ 6. Admin URL ═══")\n def gbs_admin_url(country=None, operator_id=None):\n-    parts = [ADMIN_BASE]\n+    base = "https://research-app.pt-research.net/admin"\n+    parts = [base]\n     if country:\n         parts.append(f"?country={country}")\n     if operator_id:\n\n```'}]