Merge pull request #386 from gro-intelligence/GAIA-29324

add new parameters to `get_area_weighted_series()`

.gitignore

@@ -3,3 +3,5 @@ dist/
 docs/_build/
 
 .coverage
+.DS_Store
+

docs/authentication.rst

@@ -10,7 +10,7 @@ To work with the Gro API, you need an authentication token. This token needs to
 Retrieving a token
 ==================
 
-Note that your account needs to be activated for API access before you will be able to retrieve a token. See https://gro-intelligence.com/products/gro-api for more info regarding unlocking API access for your account.
+Note that your account needs to be activated for API access before you will be able to retrieve a token. Please contact your sale rep or Customer Success to activate your account for API access. If you have any questions, please email [email protected].
 Once you have API access enabled for your account, you may retrieve your token by following the steps below:
 
 

docs/faq.rst

@@ -98,7 +98,7 @@ You must get an `authentication token <authentication#retrieving-a-token>`_ from
 Why am I getting a 401 Unauthorized error when I try to use my Gro username and login?
 --------------------------------------------------------------------------------------
 
-A Gro account gives you access to the web application at app.gro-intelligence.com. API access is sold as an add-on product you need to be activated for. To learn more about getting an API account, contact our sales team using the link at `gro-intelligence.com/products/gro-api <https://www.gro-intelligence.com/products/gro-api>`_
+A Gro account gives you access to the web application at app.gro-intelligence.com. API access is sold as an add-on product you need to be activated for. To learn more about getting an API account, contact our sales team at support@gro-intelligence.com
 
 Gro Models
 ==========

groclient/client.py

@@ -5,7 +5,7 @@
 import os
 import time
 
-from typing import List, Union
+from typing import Dict, List, Optional, Union
 
 # Python3 support
 try:
@@ -1813,10 +1813,15 @@ def get_area_weighted_series(
         series_name: str,
         weight_names: List[str],
         region_id: Union[int, List[int]],
+        aggregation: Optional[str] = None,
+        start_date: Optional[str] = None,
+        end_date: Optional[str] = None,
+        limit: Optional[Union[int, str]] = "all",
+        level: Optional[int] = None,
         method: str = "sum",
         latest_date_only: bool = False,
-        metadata: bool = False
-    ):
+        metadata: bool = False,
+    ) -> Dict[str, float]:
         """Compute weighted average on selected series with the given weights.
 
         Returns a dictionary mapping dates to weighted values.
@@ -1832,13 +1837,33 @@ def get_area_weighted_series(
         region_id: integer or list of integers
             The region or regions for which the weighted series will be computed
             Supported region levels are (1, 2, 3, 4, 5, 8)
-        method: str, optional
-            'sum' by default. Multi-crop weights can be calculated with either 'sum' or 'normalize' method.
-        latest_date_only: bool, optional
-            False by default. If True, will return a single key-value pair where the key is the latested date.
+        aggregation: str, optional
+            A string that can be parsed into components used to do the aggregation.
+            Format: {type}-{data_points/start_doy}
+            e.g. "total-7" returns 7 data point trailing totals
+            e.g. "ytd" returns year to date rolling cumulative totals for each year
+            in the series.
+            e.g. "ytd-5" returns the rolling cumulative totals for each year starting from
+            the 5th day of the year to the 4th day of the following year.
+        start_date: str, optional
+            A timestamp of the format 'YYYY-MM-DD', e.g. '2023-01-01'
+        end_date: str, optional
+            A timestamp of the format 'YYYY-MM-DD', e.g. '2023-01-01'
+        limit: Union[int, str], optional, default="all"
+            Will return the x latest data points within a given range. Example usage: `limit=1` returns
+            the latest data point.
+            A value of 'all' indicates returning all data within the specified range.
+        level: int, optional
+            The region level to which data will be aggregated before being returned.
+            If level not provided, the endpoint will aggregate to the level of each specified
+            region id.
+        method: str, optional, default="sum"
+            Multi-crop weights can be calculated with either 'sum' or 'normalize' method.
+        latest_date_only: bool, optional, default=False
+            If True, will return a single key-value pair where the key is the latested date.
             e.g. {'2000-03-12': 0.221}
-        metadata: bool, optional
-            False by default. If True, will return the metadata for the given series and weights.
+        metadata: bool, optional, default=False
+            If True, will return the metadata for the given series and weights.
 
         Returns
         -------
@@ -1853,9 +1878,14 @@ def get_area_weighted_series(
             series_name,
             weight_names,
             region_id,
+            aggregation,
+            start_date,
+            end_date,
+            limit,
+            level,
             method,
             latest_date_only,
-            metadata
+            metadata,
         )
 
     def get_area_weighting_weight_metadata(

groclient/client_test.py

@@ -145,7 +145,6 @@ def mock_get_descendant(
             childs = list(mock_entities["regions"].values())
 
     if not include_historical or include_details:
-
         if not include_historical:
             childs = [child for child in childs if not child["historical"]]
 
@@ -182,7 +181,6 @@ def mock_get_ancestor(
             childs = list(mock_entities["regions"].values())
 
     if not include_historical or include_details:
-
         if not include_historical:
             childs = [child for child in childs if not child["historical"]]
 
@@ -273,9 +271,14 @@ def mock_get_area_weighted_series(
     series_name,
     weight_names,
     region_id,
+    aggregation,
+    start_date,
+    end_date,
+    limit,
+    level,
     method,
     latest_date_only,
-    metadata
+    metadata,
 ):
     return {"2022-07-11": 0.715615, "2022-07-19": 0.733129, "2022-07-27": 0.748822}
 

groclient/lib.py

@@ -22,7 +22,7 @@
 import warnings
 
 from pkg_resources import get_distribution, DistributionNotFound
-from typing import List, Union
+from typing import Dict, List, Optional, Union
 
 try:
     # functools are native in Python 3.2.3+
@@ -111,7 +111,11 @@ def get_access_token(api_host, user_email, user_password, logger=None):
     accessToken : string
 
     """
-    warnings.warn(f'get_access_token() is deprecated and will be removed on November 1, 2023.', DeprecationWarning, 2)
+    warnings.warn(
+        f"get_access_token() is deprecated and will be removed on November 1, 2023.",
+        DeprecationWarning,
+        2,
+    )
     retry_count = 0
     if not logger:
         logger = get_default_logger()
@@ -312,7 +316,9 @@ def lookup(access_token, api_host, entity_type, entity_ids):
     try:  # Convert iterable types like numpy arrays or tuples into plain lists
         entity_ids = list(entity_ids)
         return lookup_batch(access_token, api_host, entity_type, entity_ids)
-    except TypeError:  # Convert anything else, like strings or numpy integers, into plain integers
+    except (
+        TypeError
+    ):  # Convert anything else, like strings or numpy integers, into plain integers
         entity_id = int(entity_ids)
         # If an integer is given, return only the dict with that id
         return lookup_single(access_token, api_host, entity_type, entity_id)
@@ -845,10 +851,15 @@ def get_area_weighted_series(
     series_name: str,
     weight_names: List[str],
     region_id: Union[int, List[int]],
+    aggregation: Optional[str],
+    start_date: Optional[str],
+    end_date: Optional[str],
+    limit: Optional[Union[int, str]],
+    level: Optional[int],
     method: str,
     latest_date_only: bool,
     metadata: bool,
-):
+) -> Dict[str, float]:
     url = f"https://{api_host}/area-weighting"
     headers = {"authorization": "Bearer " + access_token}
     if isinstance(region_id, int):
@@ -857,9 +868,14 @@ def get_area_weighted_series(
         "seriesName": series_name,
         "weightNames": weight_names,
         "regionIds": region_id,
+        "aggregation": aggregation,
+        "startDate": start_date,
+        "endDate": end_date,
+        "limit": limit,
+        "level": level,
         "method": method,
         "latestDateOnly": latest_date_only,
-        "metadata": metadata
+        "metadata": metadata,
     }
     resp = get_data(url, headers, params=params)
     return resp.json()

groclient/lib_test.py

@@ -1149,6 +1149,11 @@ def test_get_area_weighted_series(mock_requests_get):
         "NDVI_8day",
         ["Barley (ha)", "Corn (ha)"],
         1215,
+        None,
+        None,
+        None,
+        "all",
+        None,
         "sum",
         False,
         False
@@ -1163,6 +1168,11 @@ def test_get_area_weighted_series(mock_requests_get):
         "NDVI_8day",
         ["Barley (ha)", "Corn (ha)"],
         [1215],
+        None,
+        None,
+        None,
+        "all",
+        None,
         "sum",
         False,
         True