big update new dashboard and import export

stats/api_client.py

@@ -89,3 +89,121 @@ async def get_groups() -> list[dict]:
     except Exception:
         pass
     return []
+
+
+async def get_dimensions(poll_id: Optional[str] = None) -> list[str]:
+    params = {}
+    if poll_id:
+        params["poll_id"] = poll_id
+    try:
+        async with httpx.AsyncClient(base_url=API_URL, timeout=_TIMEOUT) as client:
+            resp = await client.get("/stats/results/dimensions", params=params)
+        if resp.status_code == 200:
+            return resp.json()
+    except Exception:
+        pass
+    return []
+
+
+async def get_avg_by_dimension(
+    poll_id: Optional[str] = None,
+    org_id: Optional[str] = None,
+    group_id: Optional[str] = None,
+    year: Optional[int] = None,
+) -> list[dict]:
+    params = {}
+    if poll_id: params["poll_id"] = poll_id
+    if org_id: params["org_id"] = org_id
+    if group_id: params["group_id"] = group_id
+    if year: params["year"] = year
+    try:
+        async with httpx.AsyncClient(base_url=API_URL, timeout=_TIMEOUT) as client:
+            resp = await client.get("/stats/results/avg-by-dimension", params=params)
+        if resp.status_code == 200:
+            return resp.json()
+    except Exception:
+        pass
+    return []
+
+
+async def get_leading_type(
+    poll_id: Optional[str] = None,
+    org_id: Optional[str] = None,
+    group_id: Optional[str] = None,
+    year: Optional[int] = None,
+) -> list[dict]:
+    params = {}
+    if poll_id: params["poll_id"] = poll_id
+    if org_id: params["org_id"] = org_id
+    if group_id: params["group_id"] = group_id
+    if year: params["year"] = year
+    try:
+        async with httpx.AsyncClient(base_url=API_URL, timeout=_TIMEOUT) as client:
+            resp = await client.get("/stats/results/leading-type", params=params)
+        if resp.status_code == 200:
+            return resp.json()
+    except Exception:
+        pass
+    return []
+
+
+async def get_compare_groups(
+    dimension_name: str,
+    by: str = "organization",
+    poll_id: Optional[str] = None,
+    year: Optional[int] = None,
+) -> list[dict]:
+    params = {"dimension_name": dimension_name, "by": by}
+    if poll_id: params["poll_id"] = poll_id
+    if year: params["year"] = year
+    try:
+        async with httpx.AsyncClient(base_url=API_URL, timeout=_TIMEOUT) as client:
+            resp = await client.get("/stats/results/compare-groups", params=params)
+        if resp.status_code == 200:
+            return resp.json()
+    except Exception:
+        pass
+    return []
+
+
+async def get_top_users(
+    dimension_name: str,
+    poll_id: Optional[str] = None,
+    org_id: Optional[str] = None,
+    group_id: Optional[str] = None,
+    year: Optional[int] = None,
+    limit: int = 10,
+) -> list[dict]:
+    params = {"dimension_name": dimension_name, "limit": limit}
+    if poll_id: params["poll_id"] = poll_id
+    if org_id: params["org_id"] = org_id
+    if group_id: params["group_id"] = group_id
+    if year: params["year"] = year
+    try:
+        async with httpx.AsyncClient(base_url=API_URL, timeout=_TIMEOUT) as client:
+            resp = await client.get("/stats/results/top-users", params=params)
+        if resp.status_code == 200:
+            return resp.json()
+    except Exception:
+        pass
+    return []
+
+
+async def get_dimension_trend(
+    dimension_name: str,
+    poll_id: Optional[str] = None,
+    org_id: Optional[str] = None,
+    group_id: Optional[str] = None,
+) -> list[dict]:
+    params = {"dimension_name": dimension_name}
+    if poll_id: params["poll_id"] = poll_id
+    if org_id: params["org_id"] = org_id
+    if group_id: params["group_id"] = group_id
+    try:
+        async with httpx.AsyncClient(base_url=API_URL, timeout=_TIMEOUT) as client:
+            resp = await client.get("/stats/results/dimension-trend", params=params)
+        if resp.status_code == 200:
+            return resp.json()
+    except Exception:
+        pass
+    return []