fixing issues

rowers/dataroutines.py

@@ -1648,7 +1648,7 @@ def read_data(columns, ids=[], doclean=True, workstrokesonly=True, debug=False,
         datadf = pl.concat(data)
         existing_columns = [col for col in columns if col in datadf.columns]
         datadf = datadf.select(existing_columns)
-    except (ShapeError, SchemaError):
+    except ShapeError:
         try:
             data = [
                 df.select(columns)
@@ -1703,7 +1703,61 @@ def read_data(columns, ids=[], doclean=True, workstrokesonly=True, debug=False,
                 datadf = pl.concat(data)
             except ShapeError:
                 return pl.DataFrame()
+    except SchemaError:
+        try:
+            data = [
+                df.select(columns)
+                for df in data]
+        except ColumnNotFoundError:
+            existing_columns = [col for col in columns if col in df.columns]
+            df = df.select(existing_columns)
 
+        # float columns
+        floatcolumns = []
+        intcolumns = []
+        stringcolumns = []
+        for c in columns:
+            try:
+                if metricsdicts[c]['numtype'] == 'float':
+                    floatcolumns.append(c)
+                if metricsdicts[c]['numtype'] == 'integer':
+                    intcolumns.append(c)
+            except KeyError:
+                if c[0] == 'f':
+                    stringcolumns.append(c)
+                else:
+                    intcolumns.append(c)
+
+        try:
+            data = [
+                df.with_columns(
+                    cs.float().cast(pl.Float64)
+                ).with_columns(
+                    cs.integer().cast(pl.Int64)
+                ).with_columns(
+                    cs.by_name(intcolumns).cast(pl.Int64)
+                ).with_columns(
+                    cs.by_name(floatcolumns).cast(pl.Float64)
+                ).with_columns(
+                    cs.by_name(stringcolumns).cast(pl.String)
+                )
+                for df in data
+            ]
+        except ComputeError:
+            pass
+        except ColumnNotFoundError:
+            pass
+
+        try:
+            datadf = pl.concat(data)
+        except SchemaError:
+            try:
+                data = [
+                    df.with_columns(cs.integer().cast(pl.Float64)) for df in data
+                ]
+                datadf = pl.concat(data)
+            except ShapeError:
+                return pl.DataFrame()