Merge pull request #359 from agoenergy/dynamic-res-dropdown-options

Dynamic res dropdown options

app/sidebar.py

@@ -92,9 +92,11 @@ def make_sidebar(api: PtxboaAPI):
     if use_reconversion:
         st.session_state["chain"] = f"{st.session_state['chain']} + reconv. to H2"
 
+    available_res_gen = api.get_res_technologies(st.session_state["region"])
     st.session_state["res_gen"] = st.sidebar.selectbox(
         "Renewable electricity source (for selected supply region):",
-        api.get_dimension("res_gen").index,
+        available_res_gen,
+        index=available_res_gen.index("PV tilted"),
         help=read_markdown_file("md/helptext_sidebar_re_source.md"),
     )
 

ptxboa/api.py

@@ -3,15 +3,17 @@
 
 
 from pathlib import Path
-from typing import Tuple
+from typing import List, Tuple
 
 import pandas as pd
 import pypsa
 
 from ptxboa import logger
 
+from . import PROFILES_DIR
 from .api_calc import PtxCalc
 from .api_data import DataHandler
+from .api_optimize import PtxOpt
 from .static import (
     ChainNameType,
     DimensionType,
@@ -291,3 +293,36 @@ def get_flh_opt_network(
         filepath = data_handler.optimizer._get_cache_filepath(hashsum=hashsum)
         network = data_handler.optimizer._load_network(filepath=filepath)
         return network
+
+    def get_res_technologies(
+        self, region_name: SourceRegionNameType
+    ) -> List[ResGenType]:
+        """List all available RES technologies for a source region.
+
+        Parameters
+        ----------
+        region_name: SourceRegionNameType
+
+        Returns
+        -------
+        : List[ResGenType]
+
+        """
+        optimizer = PtxOpt(profiles_path=PROFILES_DIR, cache_dir=None)
+
+        # translate name -> code
+        region_code = DataHandler.get_dimensions_parameter_code("region", region_name)
+
+        # get all keys from profiles
+        reg_res = set(optimizer.profiles_hashes.data.keys())
+        # filter keys for selected source_region
+        res_techs = pd.Series([res for reg, res in reg_res if reg == region_code])
+
+        # translate code -> name
+        res_gen = self.get_dimension("res_gen")
+        res_gen_code_to_name = pd.Series(
+            res_gen["process_name"].to_list(),
+            index=res_gen["process_code"],
+        )
+        res_techs = res_techs.map(res_gen_code_to_name).to_list()
+        return res_techs