fixing an issue in the action

Signed-off-by: DONNOT Benjamin <[email protected]>

CHANGELOG.rst

@@ -103,6 +103,7 @@ Native multi agents support:
   when creating the data.
 - [FIXED] issue https://github.com/Grid2op/grid2op/issues/657
 - [FIXED] missing an import on the `MaskedEnvironment` class
+- [FIXED] a bug when trying to set the load_p, load_q, gen_p, gen_v by names.
 - [ADDED] possibility to set the "thermal limits" when calling `env.reset(..., options={"thermal limit": xxx})`
 - [ADDED] possibility to retrieve some structural information about elements with
   with `gridobj.get_line_info(...)`, `gridobj.get_load_info(...)`, `gridobj.get_gen_info(...)` 

grid2op/Action/baseAction.py

@@ -1941,6 +1941,7 @@ def _digest_injection(self, dict_):
                                 elif len(el_ids) >= 2:
                                     raise AmbiguousAction(f"More than one element named {el_nm} for key {k} when trying to modify the injection")
                                 vals[el_ids[0]] = dt_float(el_val)
+                            self._dict_inj[k] = vals
                         else:
                             self._dict_inj[k] = np.array(tmp_d[k]).astype(dt_float)
                         # TODO check the size based on the input data !

grid2op/Backend/backend.py

@@ -1600,7 +1600,7 @@ def load_redispacthing_data(self,
         for el in mandatory_columns:
             if el not in df.columns:
                 warnings.warn(
-                    f"Impossible to load the redispatching data for this environment because"
+                    f"Impossible to load the redispatching data for this environment because "
                     f"one of the mandatory column is not present ({el}). Please check the file "
                     f'"{name}" contains all the mandatory columns: {mandatory_columns}'
                 )

grid2op/Environment/baseEnv.py

@@ -301,7 +301,12 @@ def foo(manager):
 
     #: this are the keys of the dictionnary `options`
     #: that can be used when calling `env.reset(..., options={})`
-    KEYS_RESET_OPTIONS = {"time serie id", "init state", "init ts", "max step", "thermal limit"}
+    KEYS_RESET_OPTIONS = {"time serie id",
+                          "init state",
+                          "init ts",
+                          "max step",
+                          "thermal limit",
+                          }
 
     def __init__(
         self,
@@ -1882,7 +1887,7 @@ def _get_new_prod_setpoint(self, action):
             tmp = action._dict_inj["prod_p"]
             indx_ok = np.isfinite(tmp)
             new_p[indx_ok] = tmp[indx_ok]
-
+            
         # modification of the environment always override the modification of the agents (if any)
         # TODO have a flag there if this is the case.
         if "prod_p" in self._env_modification._dict_inj: