Got to dump the file locally

.gitignore

@@ -160,4 +160,6 @@ cython_debug/
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
 
-.DS_Store
+.DS_Store
+
+test/data/output/*

requirements.in

@@ -7,4 +7,5 @@ s3fs
 aiofiles
 duckdb
 polars
-pyarrow
+pyarrow
+xlsx2csv

src/hellocomputer/analytics.py

@@ -0,0 +1,75 @@
+import duckdb
+
+
+class DDB:
+    def __init__(self):
+        self.db = duckdb.connect()
+        self.db.install_extension("spatial")
+        self.db.install_extension("httpfs")
+        self.db.load_extension("spatial")
+        self.db.load_extension("httpfs")
+        self.sheets = tuple()
+        self.path = ""
+
+    def gcs_secret(self, gcs_access: str, gcs_secret: str):
+        self.db.sql(f"""
+            CREATE SECRET (
+               TYPE GCS,
+               KEY_ID '{gcs_access}',
+               SECRET '{gcs_secret}')
+               """)
+
+        return self
+
+    def load_metadata(self, path: str = ""):
+        """For some reason, the header is not loaded"""
+        self.db.sql(f"""
+            create table metadata as (
+            select
+                *
+            from
+                st_read('{path}', 
+                        layer='metadata'
+                        )
+            )""")
+        self.sheets = tuple(
+            self.db.query("select Field2 from metadata where Field1 = 'Sheets'")
+            .fetchall()[0][0]
+            .split(",")
+        )
+        self.path = path
+
+        return self
+
+    def dump_local(self, path):
+        # TODO: Port to fsspec and have a single dump file
+        self.db.query(f"copy (select * from metadata) to '{path}/metadata.csv'")
+
+        for sheet in self.sheets:
+            self.db.query(f"""
+            copy 
+                (
+                select
+                    *
+                from
+                    st_read
+                        (
+                        '{self.path}',
+                        layer = '{sheet}'
+                        )
+                )
+            to '{path}/{sheet}.csv'
+                          """)
+        return self
+
+    def dump_gcs(self, bucketname, sid):
+        self.db.sql(f"""
+            copy
+                data
+            to
+                'gcs://{bucketname}/{sid}/data.csv';
+            """)
+        return self
+
+    def query(self, sql):
+        return self.db.query(sql)

src/hellocomputer/routers/files.py

@@ -1,11 +1,10 @@
 import aiofiles
-import duckdb
-import polars as pl
 import s3fs
 from fastapi import APIRouter, File, UploadFile
 from fastapi.responses import JSONResponse
 
 from ..config import settings
+from ..analytics import DDB
 
 router = APIRouter()
 
@@ -28,57 +27,14 @@ async def upload_file(file: UploadFile = File(...), sid: str = ""):
 
         gcs.makedir(f"{settings.gcs_bucketname}/{sid}")
 
-        db = duckdb.connect()
+        (
-        db.install_extension("spatial")
+            DDB()
-        db.install_extension("httpfs")
+            .gcs_secret(settings.gcs_secret, settings.gcs_secret)
-        db.load_extension("httpfs")
+            .load_metadata(f.name)
-        db.load_extension("spatial")
+            .load_data()
-
+            .save_gcs(settings.gcs_bucketname, sid)
-        db.sql(f"""
-            CREATE SECRET (
-               TYPE GCS,
-               KEY_ID '{settings.gcs_access}',
-               SECRET '{settings.gcs_secret}')
-               """)
-
-        db.sql(f"""
-            create table metadata as (
-            select
-                *
-            from
-                st_read('{f.name}', 
-                        layer='metadata',
-                        open_options=['HEADERS_FORCE', 'FIELD_TYPES=auto']
-                        )
-            )""")
-
-        metadata = db.query("select * from metadata").pl()
-        sheets = metadata.select(pl.col("Key") == "Sheets")
-        print(sheets)
-
-        for sheet in sheets.to_dict():
-            print(sheet)
-
-        db.sql(
-            f"""
-            create table data as (
-            select
-                *
-            from
-                st_read('{f.name}', 
-                        layer='data',
-                        open_options=['HEADERS_FORCE', 'FIELD_TYPES=auto']
-                        )
-            )"""
         )
 
-        db.sql(f"""
-            copy
-                data
-            to
-                'gcs://{settings.gcs_bucketname}/{sid}/data.csv';
-            """)
-
         return JSONResponse(
             content={"message": "File uploaded successfully"}, status_code=200
         )

test/output/.gitignore

@@ -0,0 +1 @@
+*.csv

test/test_load.py

@@ -0,0 +1,17 @@
+import hellocomputer
+from hellocomputer.analytics import DDB
+from pathlib import Path
+
+TEST_DATA_FOLDER = Path(hellocomputer.__file__).parents[2] / "test" / "data"
+TEST_OUTPUT_FOLDER = Path(hellocomputer.__file__).parents[2] / "test" / "output"
+
+
+def test_load_data():
+    db = (
+        DDB()
+        .load_metadata(TEST_DATA_FOLDER / "TestExcelHelloComputer.xlsx")
+        .dump_local(TEST_OUTPUT_FOLDER)
+    )
+
+    assert db.sheets == ("answers",)
+    assert (TEST_OUTPUT_FOLDER / "answers.csv").exists()