Create new phenotype dataset (PublishFreeze).

Provide the UI and code to create a new phenotype dataset.

1 files changed, 21 insertions, 0 deletions

diff --git a/uploader/input_validation.py b/uploader/input_validation.py
index 88ffd8c..b84fca6 100644
--- a/uploader/input_validation.py
+++ b/uploader/input_validation.py
@@ -1,6 +1,11 @@
 """Input validation utilities"""
+import re
+import json
+import base64
 from typing import Any
 
+from flask import request
+
 def is_empty_string(value: str) -> bool:
     """Check whether as string is empty"""
     return (isinstance(value, str) and value.strip() == "")
@@ -50,3 +55,19 @@ def is_valid_representative_name(repr_name: str) -> bool:
     """
     pattern = re.compile(r"^[a-zA-Z]+[a-zA-Z0-9_-]*[a-zA-Z0-9]$")
     return bool(pattern.match(repr_name))
+
+
+def encode_errors(errors: tuple[tuple[str, str], ...], form) -> str:
+    """Encode form errors into base64 string."""
+    return base64.b64encode(
+        json.dumps({
+            "errors": dict(errors),
+            "original_formdata": dict(form)
+        }).encode("utf8"))
+
+
+def decode_errors(errorstr) -> dict[str, dict]:
+    """Decode errors from base64 string"""
+    if not bool(errorstr):
+        return {"errors": {}, "original_formdata": {}}
+    return json.loads(base64.b64decode(errorstr.encode("utf8")).decode("utf8"))