Feat/swap to sqlalchemy (#99)

* chore: wip swap to sqlalchemy

* feat: swap to sqlalchemy

* feat: swap to sqlalchemy

* feat: swap to sqlalchemy

* feat: swap to sqlalchemy

api/backend/database/queries/statistics/statistic_queries.py

@@ -1,41 +1,43 @@
+# PDM
+from sqlalchemy import func, select
+from sqlalchemy.ext.asyncio import AsyncSession
+
 # LOCAL
-from api.backend.database.common import query
+from api.backend.database.models import Job
 
 
-async def average_elements_per_link(user: str):
-    job_query = """
-    SELECT 
-        DATE(time_created) AS date,
-        AVG(json_array_length(elements)) AS average_elements,
-        COUNT(*) AS count
-    FROM 
-        jobs
-    WHERE 
-        status = 'Completed' AND user = ?
-    GROUP BY 
-        DATE(time_created)
-    ORDER BY 
-        date ASC;
-    """
-    results = query(job_query, (user,))
+async def average_elements_per_link(session: AsyncSession, user_email: str):
+    date_func = func.date(Job.time_created)
 
-    return results
+    stmt = (
+        select(
+            date_func.label("date"),
+            func.avg(func.json_array_length(Job.elements)).label("average_elements"),
+            func.count().label("count"),
+        )
+        .where(Job.status == "Completed", Job.user == user_email)
+        .group_by(date_func)
+        .order_by("date")
+    )
+
+    result = await session.execute(stmt)
+    rows = result.all()
+    return [dict(row._mapping) for row in rows]
 
 
-async def get_jobs_per_day(user: str):
-    job_query = """
-    SELECT 
-        DATE(time_created) AS date,
-        COUNT(*) AS job_count
-    FROM 
-        jobs
-    WHERE 
-        status = 'Completed' AND user = ?
-    GROUP BY 
-        DATE(time_created)
-    ORDER BY 
-        date ASC;
-    """
-    results = query(job_query, (user,))
+async def get_jobs_per_day(session: AsyncSession, user_email: str):
+    date_func = func.date(Job.time_created)
 
-    return results
+    stmt = (
+        select(
+            date_func.label("date"),
+            func.count().label("job_count"),
+        )
+        .where(Job.status == "Completed", Job.user == user_email)
+        .group_by(date_func)
+        .order_by("date")
+    )
+
+    result = await session.execute(stmt)
+    rows = result.all()
+    return [dict(row._mapping) for row in rows]