add diffing logic

google_classroom/endpoints/base.py

@@ -8,6 +8,7 @@
 from sqlalchemy.schema import DropTable
 from sqlalchemy.exc import NoSuchTableError, InvalidRequestError
 from timer import elapsed
+import endpoints
 
 
 class EndPoint:
@@ -273,5 +274,57 @@ def callback(request_id, response, exception):
                 )
                 time.sleep(20)
 
-    def sync_data(self):
-        return "Data syncing is not yet available."
+    def differences_between_frames(self, df1, df2, left_on, right_on):
+        """
+        Merges two dataframes and splits them by which one a row comes from.
+
+        Parameters:
+            df1:        The first dataframe to be compared.
+            df2:        The second dataframe to be compared.
+            left_on:    The column in df1 to match the first dataframe to the second.
+            right_on:   The column in df2 to match the second dataframe to the first.
+
+        Returns:
+            left_only:  A dataframe containing data only found in df1.
+            right_only: A dataframe containing data only found in df2.
+            both:       A dataframe containing data found in both df1 and df2.
+        """
+        merged = pd.merge(
+            df1,
+            df2,
+            left_on=left_on,
+            right_on=right_on,
+            how="outer",
+            indicator=True,
+        )
+        left_only = merged[merged["_merge"] == "left_only"].reset_index(drop=True)
+        right_only = merged[merged["_merge"] == "right_only"].reset_index(drop=True)
+        both = merged[merged["_merge"] == "both"].reset_index(drop=True)
+
+        return (left_only, right_only, both)
+
+    def return_cleaned_sync_data(self):
+        """
+        Any cleaning that must be done to provide usable data for syncing.
+        Can be overwritten by subclasses in case of special logic.
+        """
+        return self.return_all_data().astype("str")
+
+    def sync_data(self, data=None):
+        if data is None:
+            csv_name = f"{self.classname().lower()}.csv"
+            data = pd.read_csv(f"sync_files/{csv_name}").astype("str")
+        db_df = self.return_cleaned_sync_data()
+        aliases = endpoints.CourseAliases(self.service, self.sql, self.config)
+        alias_df = aliases.return_cleaned_sync_data()
+        db_df = pd.merge(
+            db_df, alias_df, left_on="courseId", right_on="courseId", how="inner"
+        )
+        data["course_alias"] = "d:" + data["course_alias"]
+
+        (left_only, right_only, _) = self.differences_between_frames(
+            data, db_df, "course_alias", "alias"
+        )
+        to_delete = right_only
+        to_create = left_only
+        return (to_create, to_delete)

google_classroom/endpoints/course.py

@@ -22,6 +22,13 @@ def __init__(self, service, sql, config):
             "updateTime",
         ]
         self.request_key = "courses"
+        self.to_delete_columns = ["courseId", "name", "section"]
+        self.to_create_columns = [
+            "course_alias",
+            "course_name",
+            "section_name",
+            "teacher_email",
+        ]
         self.batch_size = config.COURSES_BATCH_SIZE
 
     def request_data(self, course_id=None, date=None, next_page_token=None):
@@ -32,3 +39,10 @@ def request_data(self, course_id=None, date=None, next_page_token=None):
 
     def filter_data(self, dataframe):
         return dataframe[dataframe.updateTime >= self.config.SCHOOL_YEAR_START]
+
+    def return_cleaned_sync_data(self):
+        df = self.return_all_data().astype("str")
+        df = df[df["courseState"] == "ACTIVE"]
+        df = df.rename(columns={"id": "courseId"})
+        df = df[["courseId", "name", "section"]]
+        return df.astype("str")

google_classroom/main.py

@@ -68,7 +68,7 @@ def main(config):
     sql = db_generator(config)
     pull_data(config, creds, sql)
     if config.SYNC:
-        sync_data(config, creds, sql)
+        sync_all_data(config, creds, sql)
 
 
 def pull_data(config, creds, sql):
@@ -160,10 +160,10 @@ def pull_data(config, creds, sql):
         Meet(admin_reports_service, sql, config).batch_pull_data()
 
 
-def sync_data(config, creds, sql):
+def sync_all_data(config, creds, sql):
     classroom_service = build("classroom", "v1", credentials=creds)
-    result = Courses(classroom_service, sql, config).sync_data()
-    print(result)
+    (to_create, to_delete) = Courses(classroom_service, sql, config).sync_data()
+    print("Data syncing is not yet available.")
 
 
 if __name__ == "__main__":

google_classroom/sync_files/courses_sample.csv

@@ -0,0 +1,4 @@
+course_alias,course_name,section_name,teacher_email
+25601,Literature,1,[email protected]
+25602,English,2,[email protected]
+25603,Biology,3,[email protected]

tests/sync_data.py

@@ -0,0 +1,43 @@
+import pandas as pd
+
+# Note on the data:
+# They are designed to test a few different scenarios:
+# 1. The "normal" flows.
+# 2. Course data that is missing alias data (Physics should be ignored).
+# 3. Alias data that is missing course data (d:111 should be ignored).
+# 4. Archived courses (Paleontology should be ignored).
+
+COURSE_DATA = pd.DataFrame(
+    {
+        "id": ["1", "2", "3", "4", "5"],
+        "name": ["Biology", "Math", "English", "Paleontology", "Physics"],
+        "courseState": ["ACTIVE", "ACTIVE", "ACTIVE", "ARCHIVED", "ACTIVE"],
+        "section": ["1", "1", "2", "3", "4"],
+    }
+)
+ALIAS_DATA = pd.DataFrame(
+    {
+        "courseId": ["1", "2", "3", "4", "0"],
+        "alias": ["d:123", "d:234", "d:345", "d:456", "d:111"],
+    }
+)
+SOURCE_DATA = pd.DataFrame(
+    {
+        "course_alias": ["123", "234", "678", "789"],
+        "course_name": ["Biology", "Math", "History", "Computer Science"],
+        "section_name": ["1", "1", "2", "2"],
+        "teacher_email": ["[email protected]", "[email protected]", "[email protected]", "[email protected]"],
+    }
+)
+
+TO_CREATE_SOLUTION = pd.DataFrame(
+    {
+        "course_alias": ["d:678", "d:789"],
+        "course_name": ["History", "Computer Science"],
+        "section_name": ["2", "2"],
+        "teacher_email": ["[email protected]", "[email protected]"],
+    }
+)
+TO_DELETE_SOLUTION = pd.DataFrame(
+    {"courseId": ["3"], "name": ["English"], "section": ["2"]}
+)

tests/test_all.py

@@ -35,6 +35,13 @@
     TOPIC_SOLUTION,
     MEET_SOLUTION,
 )
+from sync_data import (
+    COURSE_DATA,
+    ALIAS_DATA,
+    SOURCE_DATA,
+    TO_CREATE_SOLUTION,
+    TO_DELETE_SOLUTION,
+)
 
 
 class TestPulls:
@@ -145,6 +152,7 @@ def generic_get_test(self, endpoint, solution, course_ids=[None], dates=[None]):
             endpoint.table_name, con=self.sql.engine, schema=self.sql.schema
         )
         assert result.equals(solution)
+        endpoint._drop_table()
 
 
 class TestSync:
@@ -154,5 +162,10 @@ def setup(self):
         self.service = FakeService()
 
     def test_sync_courses(self):
-        results = Courses(self.service, self.sql, self.config).sync_data()
-        assert results == "Data syncing is not yet available."
+        courses = Courses(self.service, self.sql, self.config)
+        aliases = CourseAliases(self.service, self.sql, self.config)
+        self.sql.insert_into(courses.table_name, COURSE_DATA)
+        self.sql.insert_into(aliases.table_name, ALIAS_DATA)
+        (to_create, to_delete) = courses.sync_data(SOURCE_DATA)
+        assert to_create.equals(TO_CREATE_SOLUTION)
+        assert to_delete.equals(TO_DELETE_SOLUTION)