Repository: cmu-delphi/covidcast-indicators
Issue: Remove WIP status from NCHS Mortality signal names

Looks like NCHS has been pushing WIP signals since its release:

````
MariaDB [epidata]> select`signal`,max(time_value) from covidcast where source="nchs-mortality" group by `signal`;
+------------------------------------------------------+-----------------+
| signal                                               | max(time_value) |
+------------------------------------------------------+-----------------+
| deaths_allcause_incidence_num                        |          202049 |
| deaths_allcause_incidence_prop                       |          202049 |
| deaths_covid_and_pneumonia_notflu_incidence_num      |          202049 |
| deaths_covid_and_pneumonia_notflu_incidence_prop     |          202049 |
| deaths_covid_incidence_num                           |          202049 |
| deaths_covid_incidence_prop                          |          202049 |
| deaths_flu_incidence_num                             |          202049 |
| deaths_flu_incidence_prop                            |          202049 |
| deaths_percent_of_expected                           |          202049 |
| deaths_pneumonia_notflu_incidence_num                |          202049 |
| deaths_pneumonia_notflu_incidence_prop               |          202049 |
| deaths_pneumonia_or_flu_or_covid_incidence_num       |          202049 |
| deaths_pneumonia_or_flu_or_covid_incidence_prop      |          202049 |
| wip_deaths_allcause_incidence_num                    |          202104 |
| wip_deaths_allcause_incidence_prop                   |          202104 |
| wip_deaths_covid_and_pneumonia_notflu_incidence_num  |          202104 |
| wip_deaths_covid_and_pneumonia_notflu_incidence_prop |          202104 |
| wip_deaths_covid_incidence_num                       |          202104 |
| wip_deaths_covid_incidence_prop                      |          202104 |
| wip_deaths_flu_incidence_num                         |          202104 |
| wip_deaths_flu_incidence_prop                        |          202104 |
| wip_deaths_percent_of_expected                       |          202104 |
| wip_deaths_pneumonia_notflu_incidence_num            |          202104 |
| wip_deaths_pneumonia_notflu_incidence_prop           |          202104 |
| wip_deaths_pneumonia_or_flu_or_covid_incidence_num   |          202104 |
| wip_deaths_pneumonia_or_flu_or_covid_incidence_prop  |          202104 |
+------------------------------------------------------+-----------------+
````

We need to:
* Figure out where the signal name is being set: hard-coded, params.json, production params.json?
* Modify the code or configuration to drop the `wip_` prefix

Changed files:
nchs_mortality/delphi_nchs_mortality/run.py, nchs_mortality/tests/test_run.py

diff --git a/nchs_mortality/delphi_nchs_mortality/run.py b/nchs_mortality/delphi_nchs_mortality/run.py
index d406531e..a6535602 100644
--- a/nchs_mortality/delphi_nchs_mortality/run.py
+++ b/nchs_mortality/delphi_nchs_mortality/run.py
@@ -57,7 +57,7 @@ def run_module():
             df["se"] = np.nan
             df["sample_size"] = np.nan
             df = df[~df["val"].isnull()]
-            sensor_name = "_".join(["wip", SENSOR_NAME_MAP[metric]])
+            sensor_name = "_".join([SENSOR_NAME_MAP[metric]])
             export_csv(
                 df,
                 geo_name=GEO_RES,
@@ -76,7 +76,7 @@ def run_module():
                 df["se"] = np.nan
                 df["sample_size"] = np.nan
                 df = df[~df["val"].isnull()]
-                sensor_name = "_".join(["wip", SENSOR_NAME_MAP[metric], sensor])
+                sensor_name = "_".join([SENSOR_NAME_MAP[metric], sensor])
                 export_csv(
                     df,
                     geo_name=GEO_RES,
diff --git a/nchs_mortality/tests/test_run.py b/nchs_mortality/tests/test_run.py
index 52269b5d..a309eefe 100644
--- a/nchs_mortality/tests/test_run.py
+++ b/nchs_mortality/tests/test_run.py
@@ -41,11 +41,11 @@ class TestRun:
             for date in dates:
                 for metric in metrics:
                     if metric == "deaths_percent_of_expected":
-                        expected_files += ["weekly_" + date + "_state_wip_" \\
+                        expected_files += ["weekly_" + date + "_state_" \\
                                            + metric + ".csv"]
                     else:
                         for sensor in sensors:
-                            expected_files += ["weekly_" + date + "_state_wip_" \\
+                            expected_files += ["weekly_" + date + "_state_" \\
                                                + metric + "_" + sensor + ".csv"]
             assert set(expected_files).issubset(set(csv_files))
 
@@ -59,6 +59,6 @@ class TestRun:
 
         for output_folder in folders:
             df = pd.read_csv(
-                join(output_folder, "weekly_202026_state_wip_deaths_covid_incidence_prop.csv")
+                join(output_folder, "weekly_202026_state_deaths_covid_incidence_prop.csv")
             )
             assert (df.columns.values == ["geo_id", "val", "se", "sample_size"]).all()