support 'yyyy_mm_dd' time type in 'result/metrics' endpoint

The updated in-app dashboard will be using this new time type via `/result/metrics/yyyy_mm_dd`.
When using this time type, `e-mission-common` is used for the metrics calculations, which has a new structure (#966 (comment))
`start_time` and `end_time` are given as ISO dates

emission/net/api/cfc_webapp.py

@@ -411,14 +411,18 @@ def summarize_metrics(time_type):
     else:
         old_style = True
         is_return_aggregate = True
+
+    app_config = request.json['app_config'] if 'app_config' in request.json else None
+
     time_type_map = {
-        'timestamp': metrics.summarize_by_timestamp,
-        'local_date': metrics.summarize_by_local_date
+        'timestamp': metrics.summarize_by_timestamp, # used by old UI
+        'local_date': metrics.summarize_by_local_date,
+        'yyyy_mm_dd': metrics.summarize_by_yyyy_mm_dd # used by new UI
     }
     metric_fn = time_type_map[time_type]
     ret_val = metric_fn(user_uuid,
               start_time, end_time,
-              freq_name, metric_list, is_return_aggregate)
+              freq_name, metric_list, is_return_aggregate, app_config)
     if old_style:
         logging.debug("old_style metrics found, returning array of entries instead of array of arrays")
         assert(len(metric_list) == 1)

emission/net/api/metrics.py

@@ -10,16 +10,31 @@
 
 import emission.analysis.result.metrics.time_grouping as earmt
 import emission.analysis.result.metrics.simple_metrics as earms
+import emission.storage.decorations.analysis_timeseries_queries as esda
+import emission.storage.decorations.local_date_queries as esdl
+import emission.storage.timeseries.tcquery as esttc
 
-def summarize_by_timestamp(user_id, start_ts, end_ts, freq, metric_list, include_aggregate):
+import emcommon.metrics.metrics_summaries as emcms
+
+def summarize_by_timestamp(user_id, start_ts, end_ts, freq, metric_list, include_aggregate, app_config=None):
     return _call_group_fn(earmt.group_by_timestamp, user_id, start_ts, end_ts,
                           freq, metric_list, include_aggregate)
 
-def summarize_by_local_date(user_id, start_ld, end_ld, freq_name, metric_list, include_aggregate):
+def summarize_by_local_date(user_id, start_ld, end_ld, freq_name, metric_list, include_aggregate, app_config=None):
     local_freq = earmt.LocalFreq[freq_name]
     return _call_group_fn(earmt.group_by_local_date, user_id, start_ld, end_ld,
                           local_freq, metric_list, include_aggregate)
 
+def summarize_by_yyyy_mm_dd(user_id, start_ymd, end_ymd, freq, metric_list, include_agg, app_config):
+    time_query = esttc.TimeComponentQuery(
+        "data.start_local_dt",
+        esdl.yyyy_mm_dd_to_local_date(start_ymd),
+        esdl.yyyy_mm_dd_to_local_date(end_ymd)
+    )
+    trips = esda.get_entries(esda.COMPOSITE_TRIP_KEY, None, time_query)
+    print('found ' + str([e for e in trips]))
+    return emcms.generate_summaries(metric_list, trips, app_config)
+
 def _call_group_fn(group_fn, user_id, start_time, end_time, freq, metric_list, include_aggregate):
     summary_fn_list = [earms.get_summary_fn(metric_name)
                             for metric_name in metric_list]

emission/storage/decorations/local_date_queries.py

@@ -48,3 +48,15 @@ def get_comparison_query(field_prefix, base_ld, limit_ld, units, gt_or_lt):
         return { "$or": or_conditions }
     else:
         return {}
+
+def yyyy_mm_dd_to_local_date(ymd: str) -> ecwl.LocalDate:
+    return ecwl.LocalDate({
+        'year': int(ymd[0:4]),
+        'month': int(ymd[5:7]),
+        'day': int(ymd[8:10])
+    })
+
+def get_yyyy_mm_dd_range_query(field_name, start_ymd: str, end_ymd: str) -> dict:
+    start_local_date = ymd_to_local_date(start_ymd)
+    end_local_date = ymd_to_local_date(end_ymd)
+    return get_range_query(field_name, start_local_date, end_local_date)

setup/environment36.yml

@@ -19,7 +19,7 @@ dependencies:
 - scipy=1.10.0
 - utm=0.7.0
 - pip:
-  - git+https://github.com/JGreenlee/e-mission-common@0.4.3
+  - git+https://github.com/JGreenlee/e-mission-common@0.5.0
   - pyfcm==1.5.4
   - pygeocoder==1.2.5
   - pymongo==4.3.3