use onnx models, new deepdoc (#68)

deepdoc/parser/excel_parser.py

@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+from openpyxl import load_workbook
+import sys
+from io import BytesIO
+
+
+class HuExcelParser:
+    def __call__(self, fnm):
+        if isinstance(fnm, str):
+            wb = load_workbook(fnm)
+        else:
+            wb = load_workbook(BytesIO(fnm))
+        res = []
+        for sheetname in wb.sheetnames:
+            ws = wb[sheetname]
+            rows = list(ws.rows)
+            ti = list(rows[0])
+            for r in list(rows[1:]):
+                l = []
+                for i,c in enumerate(r):
+                    if not c.value:continue
+                    t = str(ti[i].value) if i < len(ti) else ""
+                    t += ("："  if t else "") + str(c.value)
+                    l.append(t)
+                l = "; ".join(l)
+                if sheetname.lower().find("sheet") <0: l += " ——"+sheetname
+                res.append(l)
+        return res
+
+
+if __name__ == "__main__":
+    psr = HuExcelParser()
+    psr(sys.argv[1])