Add BO vaccinations data source

docs/table-vaccinations.md

@@ -42,6 +42,7 @@ counts over time, which is why the cumulative values, if reported, are kept in a
 | Australia | [COVID LIVE](https://covidlive.com.au/) | [CC BY](https://creativecommons.org/licenses/by/4.0/) | Country level data is not the sum of the states/territories as there is a portion of vaccinations managed by the Federal government that is delivered directly to aged and disability care and not counted as part of the states/territories|
 | Austria | [Open Data Österreich](https://www.data.gv.at/covid-19/) | [CC BY](https://www.data.gv.at/covid-19/) | |
 | Belgium | [Covid Vaccinations Belgium](https://covid-vaccinatie.be/en) | [CC BY](https://covid-vaccinatie.be/api) | Regional data only available for Brussels, since the regions reported by the data source do not match our indexed subregions |
+| Bolivia | [Ministry of Health](https://www.minsalud.gob.bo/) (via [FinMango][1]) | [CC BY](https://finmango.org/covid) | |
 | Brazil | Secretarias de Saúde via [FinMango][1] | [CC BY][1] | |
 | Brazil | [Brazil Ministério da Saúde](https://coronavirus.saude.gov.br/) | [Creative Commons Atribuição](http://www.opendefinition.org/licenses/cc-by) | |
 | Bulgaria | [Ministry of Health](https://coronavirus.bg/bg/statistika) (via [FinMango][1]) | [CC BY](https://finmango.org/covid) | |

src/pipelines/vaccinations/bo_finmango.py

@@ -0,0 +1,40 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from typing import Any, Dict
+from pandas import DataFrame
+from lib.cast import safe_int_cast
+from lib.data_source import DataSource
+from lib.utils import table_rename
+from pipelines.epidemiology.de_authority import _SUBREGION1_CODE_MAP
+
+
+_column_adapter = {
+    "Date": "date",
+    "Department": "match_string",
+    "First Dose": "total_persons_vaccinated",
+    "Second Dose": "total_persons_fully_vaccinated",
+}
+
+
+class FinMangoBoliviaDataSource(DataSource):
+    def parse_dataframes(
+        self, dataframes: Dict[Any, DataFrame], aux: Dict[str, DataFrame], **parse_opts
+    ) -> DataFrame:
+        data = table_rename(dataframes[0], _column_adapter, drop=True)
+
+        data["country_code"] = "BO"
+        data["locality_code"] = None
+        data["subregion2_code"] = None
+        return data

src/pipelines/vaccinations/config.yaml

@@ -105,6 +105,22 @@ sources:
       job_group: all
       deferred: true
 
+  # Data sources for BO levels 0 + 1
+  - name: pipelines.vaccinations.bo_finmango.FinMangoBoliviaDataSource
+    fetch:
+      - url: "https://docs.google.com/spreadsheets/d/e/2PACX-1vTQPaCIPwOdo-ELdSPlRSlLWqB0X3PtpZJdB1aEIjdo_HBW2qAe_9bY6rE3t_AMakUPNk2TPuwzPKx_/pub?gid=0&single=true&output=csv"
+        opts:
+          ext: csv
+    aggregate:
+      subregion1: ["total_persons_vaccinated", "total_persons_fully_vaccinated", "total_vaccine_doses_administered"]
+    test:
+      location_key_match:
+        - '^BO$'
+        - '^BO_[^_]+$'
+    automation:
+      job_group: all
+      deferred: true
+
   # Data sources for BR levels 0 + 1 + 2
   - name: pipelines.vaccinations.br_authority.BrazilDataSource
     fetch: