diff env/lib/python3.9/site-packages/bioblend/galaxy/tools/inputs.py @ 0:4f3585e2f14b draft default tip

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/env/lib/python3.9/site-packages/bioblend/galaxy/tools/inputs.py	Mon Mar 22 18:12:50 2021 +0000
@@ -0,0 +1,70 @@
+class InputsBuilder:
+    """
+    """
+
+    def __init__(self):
+        self._input_dict = {}
+
+    def set(self, name, input):
+        self._input_dict[name] = input
+        return self
+
+    def set_param(self, name, value):
+        return self.set(name, param(value=value))
+
+    def set_dataset_param(self, name, value, src="hda"):
+        return self.set(name, dataset(value, src=src))
+
+    def to_dict(self):
+        values = {}
+        for key, value in self.flat_iter():
+            if hasattr(value, "value"):
+                value = value.value
+            values[key] = value
+        return values
+
+    def flat_iter(self, prefix=None):
+        for key, value in self._input_dict.items():
+            effective_key = key if prefix is None else f"{prefix}|{key}"
+            if hasattr(value, "flat_iter"):
+                yield from value.flat_iter(effective_key)
+            else:
+                yield effective_key, value
+
+
+class RepeatBuilder:
+
+    def __init__(self):
+        self._instances = []
+
+    def instance(self, inputs):
+        self._instances.append(inputs)
+        return self
+
+    def flat_iter(self, prefix=None):
+        for index, instance in enumerate(self._instances):
+            index_prefix = "%s_%d" % (prefix, index)
+            yield from instance.flat_iter(index_prefix)
+
+
+class Param:
+
+    def __init__(self, value):
+        self.value = value
+
+
+class DatasetParam(Param):
+
+    def __init__(self, value, src="hda"):
+        if not isinstance(value, dict):
+            value = dict(src=src, id=value)
+        super().__init__(value)
+
+
+inputs = InputsBuilder
+repeat = RepeatBuilder
+conditional = InputsBuilder
+param = Param
+dataset = DatasetParam
+
+__all__ = ("inputs", "repeat", "conditional", "param")