Add multi period deserialization

src/oemof/tabular/datapackage/building.py

@@ -212,6 +212,25 @@ def infer_metadata(
             )
             p.add_resource(r.descriptor)
 
+    # create meta data resources periods
+    if not os.path.exists("data/periods"):
+        print(
+            "No periods path found in directory {}. Skipping...".format(
+                os.getcwd()
+            )
+        )
+    else:
+        for f in os.listdir("data/periods"):
+            r = Resource(
+                {"path": str(pathlib.PurePosixPath("data", "periods", f))}
+            )
+            r.infer()
+            r.commit()
+            r.save(
+                pathlib.PurePosixPath("resources", f.replace(".csv", ".json"))
+            )
+            p.add_resource(r.descriptor)
+
     p.commit()
     p.save(metadata_filename)
 

src/oemof/tabular/datapackage/reading.py

@@ -437,17 +437,44 @@ def find(n, d):
                 name="timeindex",
             )
             timeindex = temporal.index
+            es = cls(timeindex=timeindex, temporal=temporal)
 
         # if no temporal provided as resource, take the first timeindex
         # from dict
         else:
+            # look for periods resource and if present, take as periods from it
+            if package.get_resource("periods"):
+                df_periods = pd.DataFrame.from_dict(
+                    package.get_resource("periods").read(keyed=True)
+                )
+                timeincrement = df_periods["increment"].values
+                timeindex = pd.DatetimeIndex(df_periods["timeindex"])
+                periods = [
+                    pd.DatetimeIndex(df["timeindex"])
+                    for period, df in df_periods.groupby("periods")
+                ]
+                periods = [
+                    pd.DatetimeIndex(
+                        i.values, freq=i.inferred_freq, name="timeindex"
+                    )
+                    for i in periods
+                ]
+
+                es = cls(
+                    timeindex=timeindex,
+                    timeincrement=timeincrement,
+                    periods=periods,
+                    infer_last_interval=False,
+                )
+
             # if lst is not empty
-            if lst:
+            elif lst:
                 idx = pd.DatetimeIndex(lst[0])
                 timeindex = pd.DatetimeIndex(
                     idx.values, freq=idx.inferred_freq, name="timeindex"
                 )
                 temporal = None
+                es = cls(timeindex=timeindex, temporal=temporal)
             # if for any reason lst of datetimeindices is empty
             # (i.e. no sequences) have been provided, set datetime to one time
             # step of today (same as in the EnergySystem __init__ if no
@@ -456,8 +483,7 @@ def find(n, d):
                 timeindex = pd.date_range(
                     start=pd.to_datetime("today"), periods=1, freq="H"
                 )
-
-        es = cls(timeindex=timeindex, temporal=temporal) if lst else cls()
+                es = cls()
 
         es.add(
             *chain(

src/oemof/tabular/examples/datapackages/dispatch_multi_period/README.md

@@ -0,0 +1,5 @@
+# Dispatch example for oemof-tabular
+
+Run `scripts/infer.py` from the datapackage root directory to add the
+meta data file `datapackage.json` after updating the resources of the
+datapackage.

src/oemof/tabular/examples/datapackages/dispatch_multi_period/data/elements/bus.csv

@@ -0,0 +1,5 @@
+name;type;balanced
+bus0;bus;true
+bus1;bus;true
+heat-bus;bus;false
+gas-bus;bus;false

src/oemof/tabular/examples/datapackages/dispatch_multi_period/data/elements/dispatchable.csv

@@ -0,0 +1,4 @@
+name;type;carrier;tech;capacity;bus;marginal_cost;profile;output_parameters
+gas;dispatchable;gas;gt;100;bus1;40;1;{"full_load_time_max": 2000}
+coal;dispatchable;coal;st;100;bus0;40;1;{}
+lignite;dispatchable;lignite;st;50;bus0;20;1;{}

src/oemof/tabular/examples/datapackages/dispatch_multi_period/data/elements/link.csv

@@ -0,0 +1,3 @@
+name;type;capacity;capacity_cost;loss;from_bus;to_bus
+conn1;link;100;10;0.05;bus0;bus1
+conn2;link;10;0;0.05;heat-bus;gas-bus

src/oemof/tabular/examples/datapackages/dispatch_multi_period/data/elements/load.csv

@@ -0,0 +1,3 @@
+name;amount;profile;type;bus
+demand0;5000;electricity-load-profile;load;bus0
+demand1;1000;electricity-load-profile;load;bus1

src/oemof/tabular/examples/datapackages/dispatch_multi_period/data/elements/storage.csv

@@ -0,0 +1,3 @@
+name,carrier,tech,storage_capacity,capacity,capacity_cost,storage_capacity_initial,type,bus
+el-storage1,lithium,battery,100,10,10,0.5,storage,bus0
+el-storage2,lithium,battery,200,20,15,0.2,storage,bus0

src/oemof/tabular/examples/datapackages/dispatch_multi_period/data/elements/volatile.csv

@@ -0,0 +1,3 @@
+name;type;carrier;tech;capacity;capacity_cost;bus;marginal_cost;profile;output_parameters
+wind;volatile;wind;onshore;50;;bus0;0;wind-profile;{}
+pv;volatile;solar;pv;20;;bus1;0;pv-profile;{}

src/oemof/tabular/examples/datapackages/dispatch_multi_period/data/periods/periods.csv

@@ -0,0 +1,10 @@
+timeindex,periods, increment
+2011-01-01T00:00:00Z,0,1
+2011-01-01T01:00:00Z,0,1
+2011-01-01T02:00:00Z,0,1
+2035-01-01T00:00:00Z,1,1
+2035-01-01T01:00:00Z,1,1
+2035-01-01T02:00:00Z,1,1
+2050-01-01T00:00:00Z,2,1
+2050-01-01T01:00:00Z,2,1
+2050-01-01T02:00:00Z,2,1

src/oemof/tabular/examples/datapackages/dispatch_multi_period/data/sequences/load_profile.csv

@@ -0,0 +1,10 @@
+timeindex,electricity-load-profile
+2011-01-01T00:00:00Z,0.000745659236
+2011-01-01T01:00:00Z,0.000709651546
+2011-01-01T02:00:00Z,0.00068564642
+2035-01-01T00:00:00Z,0.000745659236
+2035-01-01T01:00:00Z,0.000709651546
+2035-01-01T02:00:00Z,0.00068564642
+2050-01-01T00:00:00Z,0.000745659236
+2050-01-01T01:00:00Z,0.000709651546
+2050-01-01T02:00:00Z,0.00068564642

src/oemof/tabular/examples/datapackages/dispatch_multi_period/data/sequences/volatile_profile.csv

@@ -0,0 +1,10 @@
+timeindex,wind-profile,pv-profile
+2011-01-01T00:00:00Z,0.147532,0
+2011-01-01T01:00:00Z,0.184181,0
+2011-01-01T02:00:00Z,0.223937,0
+2035-01-01T00:00:00Z,0.147532,0
+2035-01-01T01:00:00Z,0.184181,0
+2035-01-01T02:00:00Z,0.223937,0
+2050-01-01T00:00:00Z,0.147532,0
+2050-01-01T01:00:00Z,0.184181,0
+2050-01-01T02:00:00Z,0.223937,0