ght: standardizing signal names

google_health/delphi_google_health/constants.py

@@ -0,0 +1,13 @@
+"""
+REGISTRY FOR SIGNAL NAMES, GEO TYPES
+"""
+RAW = "raw_search"
+SMOOTHED = "smoothed_search"
+STATE = "state"
+HRR = "hrr"
+MSA = "msa"
+DMA = "dma"
+
+SIGNALS = [RAW, SMOOTHED]
+GEO_TYPES = [STATE, HRR, MSA, DMA]
+

google_health/delphi_google_health/run.py

@@ -9,10 +9,11 @@
 import logging
 
 from delphi_utils import read_params
-
+import covidcast
 from .pull_api import GoogleHealthTrends, get_counts_states, get_counts_dma
 from .map_values import derived_counts_from_dma
 from .export import export_csv
+from .constants import *
 
 
 def run_module():
@@ -31,6 +32,7 @@ def run_module():
     static_dir = params["static_file_dir"]
     export_dir = params["export_dir"]
     cache_dir = params["cache_dir"]
+    wip_signal = params["wip_signal"]
 
     # if missing end_date, set to today (GMT) minus 5 days
     if end_date == "":
@@ -53,17 +55,71 @@ def run_module():
     )
     df_hrr, df_msa = derived_counts_from_dma(df_dma, static_dir=static_dir)
 
-    #  export each geographic region, with both smoothed and unsmoothed data
-    export_csv(df_state, "state", "raw_search", smooth=False, receiving_dir=export_dir)
-    export_csv(
-        df_state, "state", "smoothed_search", smooth=True, receiving_dir=export_dir
-    )
-
-    export_csv(df_dma, "dma", "raw_search", smooth=False, receiving_dir=export_dir)
-    export_csv(df_dma, "dma", "smoothed_search", smooth=True, receiving_dir=export_dir)
-
-    export_csv(df_hrr, "hrr", "raw_search", smooth=False, receiving_dir=export_dir)
-    export_csv(df_hrr, "hrr", "smoothed_search", smooth=True, receiving_dir=export_dir)
+    signal_names = add_prefix(SIGNALS, wip_signal, prefix)
+
+    for signal in signal_names:
+        if signal.endswith(SMOOTHED):
+            #  export each geographic region, with both smoothed and unsmoothed data
+            export_csv(df_state, STATE, signal, smooth=True, receiving_dir=export_dir)
+            export_csv(df_dma, DMA, signal, smooth=True, receiving_dir=export_dir)
+            export_csv(df_hrr, HRR, signal, smooth=True, receiving_dir=export_dir)
+            export_csv(df_msa, MSA, signal, smooth=True, receiving_dir=export_dir)
+        elif signal.endswith(RAW):
+            export_csv(df_state, STATE, signal, smooth=False, receiving_dir=export_dir)
+            export_csv(df_dma, DMA, signal, smooth=False, receiving_dir=export_dir)
+            export_csv(df_hrr, HRR, signal, smooth=False, receiving_dir=export_dir)
+            export_csv(df_msa, MSA, signal, smooth=False, receiving_dir=export_dir)
+
+
+def add_prefix(signal_names, wip_signal, prefix="wip_"):
+    """Adds prefix to signal if there is a WIP signal
+    Parameters
+    ----------
+    signal_names: List[str]
+        Names of signals to be exported
+    prefix : 'wip_'
+        prefix for new/non public signals
+    wip_signal : List[str] or bool
+        a list of wip signals: [], OR
+        all signals in the registry: True OR
+        only signals that have never been published: False
+    Returns
+    -------
+    List of signal names
+        wip/non wip signals for further computation
+    """
 
-    export_csv(df_msa, "msa", "raw_search", smooth=False, receiving_dir=export_dir)
-    export_csv(df_msa, "msa", "smoothed_search", smooth=True, receiving_dir=export_dir)
+    if wip_signal is True:
+        return [prefix + signal for signal in signal_names]
+    if isinstance(wip_signal, list):
+        make_wip = set(wip_signal)
+        return [
+            (prefix if signal in make_wip else "") + signal
+            for signal in signal_names
+        ]
+    if wip_signal in {False, ""}:
+        return [
+            signal if public_signal(signal)
+            else prefix + signal
+            for signal in signal_names
+        ]
+    raise ValueError("Supply True | False or '' or [] | list()")
+
+
+def public_signal(signal_):
+    """Checks if the signal name is already public using COVIDcast
+    Parameters
+    ----------
+    signal_ : str
+        Name of the signal
+    Returns
+    -------
+    bool
+        True if the signal is present
+        False if the signal is not present
+    """
+    epidata_df = covidcast.metadata()
+    for index in range(len(epidata_df)):
+        if epidata_df['signal'][index] == signal_:
+            return True
+    return False

google_health/params.json.template

@@ -5,4 +5,5 @@
   "start_date": "2020-02-01",
   "end_date": "2020-05-15",
   "ght_key": ""
+  "wip_signal" : ""
 }

google_health/setup.py

@@ -8,7 +8,8 @@
     "pytest",
     "pytest-cov",
     "pylint",
-    "delphi-utils"
+    "delphi-utils",
+    "covidcast"
 ]
 
 setup(

google_health/tests/params.json.template

@@ -4,5 +4,6 @@
   "cache_dir": "../cache",
   "start_date": "2020-02-11",
   "end_date": "2020-04-30",
-  "ght_key": ""
+  "ght_key": "",
+  "wip_signal": ""
 }

google_health/tests/receiving_test/20200419_dma_wip_raw_search.csv

@@ -0,0 +1,211 @@
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