From 1450b944606b2827dad416db23867751a4752b4f Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 12:21:18 -0500
Subject: [PATCH 01/46] feat: added extension generator script

---
 src/webapp/databricks.py          |  80 +++++++++++++++-
 src/webapp/generate_extensions.py | 146 ++++++++++++++++++++++++++++++
 src/webapp/routers/data.py        |  33 +++++++
 src/webapp/validation.py          |   2 +
 4 files changed, 259 insertions(+), 2 deletions(-)
 create mode 100644 src/webapp/generate_extensions.py

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index d0cea50f..c4f91c5d 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -11,11 +11,13 @@
     Disposition,
     StatementState,
 )
+from google.cloud import storage
 from .config import databricks_vars, gcs_vars
 from .utilities import databricksify_inst_name, SchemaType
-from typing import List, Any, Dict
+from typing import List, Any, Dict, IO, cast
 from databricks.sdk.errors import DatabricksError
-
+from fastapi import HTTPException
+import tomllib  # Python 3.11+
 # Setting up logger
 LOGGER = logging.getLogger(__name__)
 
@@ -366,3 +368,77 @@ def fetch_table_data(
 
         # Combine column names with corresponding row values
         return [dict(zip(column_names, row)) for row in data_rows]
+
+    def get_key_for_file(self, mapping: Dict[str, Any], file_name: str) -> Optional[str]:
+        """Return the first key whose value equals file_name (or contains it if value is a list)."""
+        for k, v in mapping.items():
+            if isinstance(v, str) and v == file_name:
+                return k
+            if isinstance(v, list) and any(isinstance(x, str) and x == file_name for x in v):
+                return k
+        return None
+
+    def generate_schema_extension(
+        self,
+        bucket_name: str,
+        inst_query_result: Any,
+        file_name: str,
+    ) -> Dict[str, Any]:
+        try:
+            w = WorkspaceClient(
+                host=databricks_vars["DATABRICKS_HOST_URL"],
+                google_service_account=gcs_vars["GCP_SERVICE_ACCOUNT_EMAIL"],
+            )
+            LOGGER.info("Successfully created Databricks WorkspaceClient.")
+        except Exception as e:
+            LOGGER.exception(
+                "Failed to create Databricks WorkspaceClient with host: %s and service account: %s",
+                databricks_vars["DATABRICKS_HOST_URL"],
+                gcs_vars["GCP_SERVICE_ACCOUNT_EMAIL"],
+            )
+            raise ValueError(
+                f"fetch_table_data(): Workspace client initialization failed: {e}"
+            )
+        try:
+            config_volume_path = f"/Volumes/staging_sst_01/{databricksify_inst_name(inst_query_result[0][0].name)}_bronze/bronze_volume/config.toml"
+            LOGGER.info(f"Attempting to download from {config_volume_path}")
+            response = w.files.download(config_volume_path)
+            stream = cast(IO[bytes], response.contents)
+            file_bytes = stream.read()
+
+            LOGGER.info("Download successful, received %d bytes", len(file_bytes))
+        except Exception as e:
+            LOGGER.exception(f"Failed to fetch model card: {e}")
+            raise HTTPException(500, detail=f"Failed to fetch config: {e}")
+
+        try:
+        # Databricks files are UTF-8; decode then parse
+            cfg = tomllib.loads(file_bytes.decode("utf-8"))
+        except Exception as e:
+            LOGGER.exception("Invalid TOML in %s", file_name)
+            raise HTTPException(400, detail=f"Invalid TOML in {file_name}: {e}")
+        # Stream back as FileResponse
+
+        try:
+            mapping = cfg["webapp"]["validation_mapping"]
+        except KeyError:
+            raise HTTPException(404, detail="Missing [webapp].validation_mapping in config.toml")
+
+        if not isinstance(mapping, dict):
+            raise HTTPException(400, detail="validation_mapping must be a TOML table (dictionary)")
+
+        LOGGER.info("validation_mapping keys: %s", list(mapping.keys()))
+
+        key = self.get_key_for_file(mapping, file_name)
+        if key is None:
+            raise HTTPException(404, detail=f"{file_name} not found in validation_mapping")
+
+        client = storage.Client()
+        bucket = client.bucket(bucket_name)
+        blob = bucket.blob(f"unvalidated/{file_name}")
+        try:
+            with blob.open("r") as file:
+                
+        schems: List[str] = []
+
+        return mapping
\ No newline at end of file
diff --git a/src/webapp/generate_extensions.py b/src/webapp/generate_extensions.py
new file mode 100644
index 00000000..882d1c29
--- /dev/null
+++ b/src/webapp/generate_extensions.py
@@ -0,0 +1,146 @@
+from typing import Union, List, Dict, Optional
+import pandas as pd
+import tempfile, os
+import json
+
+from validation import (
+    validate_dataset, normalize_col, HardValidationError
+)
+
+def load_json(path: str) -> dict:
+    """Load JSON from a file, returning {} on failure."""
+    try:
+        with open(path, 'r') as f:
+            return json.load(f)
+    except (FileNotFoundError, json.JSONDecodeError):
+        return {}
+
+def infer_column_schema(series: pd.Series, cate_threshold: int = 10) -> dict:
+    """
+    Infer a minimal Pandera-style schema for a pandas Series.
+    Categorical-like columns are marked as 'category' but NOT constrained to a fixed set of values.
+    """
+    import numpy as np
+
+    non_null = series.dropna()
+    has_nulls = bool(series.isna().any())
+    uniques = non_null.unique().tolist()
+
+    # candidate for categorical, but relaxed (no fixed categories)
+    if 1 < len(uniques) <= cate_threshold:
+        return {
+            "dtype": "category",
+            "coerce": True,
+            "nullable": True,
+            "required": True,
+            "aliases": [],
+            "checks": [],  # no 'isin' constraint
+        }
+
+    # numeric / datetime / bool / string fallback
+    dt = series.dtype
+    if pd.api.types.is_integer_dtype(dt):
+        dtype = "Int64" if has_nulls else "int64"
+        checks = []
+    elif pd.api.types.is_float_dtype(dt):
+        dtype = "float64"
+        checks = []
+    elif pd.api.types.is_bool_dtype(dt):
+        dtype = "boolean"
+        checks = []
+    elif pd.api.types.is_datetime64_any_dtype(dt):
+        dtype = "datetime64[ns]"
+        checks = []
+    else:
+        dtype = "string"
+        checks = [{"type": "str_length", "kwargs": {"min_value": 1}}]
+
+    return {
+        "dtype": dtype,
+        "coerce": True,
+        "nullable": True,
+        "required": True,
+        "aliases": [],
+        "checks": checks,
+    }
+
+def generate_extension_schema(
+    df: Union[pd.DataFrame, str],
+    models: Union[str, List[str]],
+    institution_id: str,
+    base_schema: Dict,                          # <- reference only, not mutated
+    existing_extension: Optional[Dict] = None,  # <- merged into/returned
+) -> Dict:
+    """
+    - Use validate_dataset(...) with base_schema (+ existing_extension if provided)
+      to detect columns not represented there.
+    - Infer specs for those "extra" columns and add only those to the extension.
+    - Return the extension dict (no writes, base_schema untouched).
+    """
+    # Load/normalize DF (keep a path for validate_dataset which expects a filename)
+    orig_path: Optional[str] = None
+    if isinstance(df, str):
+        orig_path = df
+        df = pd.read_csv(df)
+    df = df.rename(columns=lambda c: normalize_col(c))
+
+    # Ensure validate_dataset gets a path
+    tmp_path = None
+    data_path = orig_path
+    if data_path is None:
+        tmp = tempfile.NamedTemporaryFile(suffix=".csv", delete=False)
+        df.to_csv(tmp.name, index=False)
+        tmp_path = tmp.name
+        data_path = tmp_path
+
+    # Validate to discover extras (not in base or existing extension)
+    extras: List[str] = []
+    try:
+        validate_dataset(
+            filename=data_path,
+            base_schema=base_schema,
+            ext_schema=existing_extension,   # columns already in extension won't be "extra"
+            models=models,
+            institution_id=institution_id,
+        )
+    except HardValidationError as e:
+        extras = e.extra_columns or []
+    finally:
+        if tmp_path:
+            try: os.unlink(tmp_path)
+            except OSError: pass
+
+    # Nothing new to add
+    if not extras:
+        return existing_extension or {
+            "version": base_schema.get("version", "1.0.0"),
+            "institutions": {institution_id: {"data_models": {}}}
+        }
+
+    # Keep only extras actually present in the (normalized) DF
+    extras = [c for c in extras if c in df.columns]
+
+    # Infer minimal specs for each extra column
+    inferred = {col: infer_column_schema(df[col]) for col in extras}
+
+    # Start from provided extension (or a fresh skeleton); base_schema is NOT modified
+    extension = existing_extension or {
+        "version": base_schema.get("version", "1.0.0"),
+        "institutions": {institution_id: {"data_models": {}}}
+    }
+
+    inst_block = extension.setdefault("institutions", {}) \
+                          .setdefault(institution_id, {}) \
+                          .setdefault("data_models", {})
+
+    model_list = [models] if isinstance(models, str) else list(models or [])
+
+    # Merge ONLY the inferred extras into the extension
+    for model in model_list:
+        cols_block = inst_block.setdefault(model, {}).setdefault("columns", {})
+        # don’t overwrite anything that might already exist in extension
+        for col, spec in inferred.items():
+            if col not in cols_block:
+                cols_block[col] = spec
+
+    return extension
diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 932e75d2..868c88f0 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -1057,7 +1057,40 @@ def validate_file_manual_upload(
     sql_session: Annotated[Session, Depends(get_session)],
 ) -> Any:
     """Validate a given file. The file_name should be url encoded."""
+    
     file_name = decode_url_piece(file_name)
+    local_session.set(sql_session)
+
+    inst_query_result = (
+        local_session.get()
+        .execute(select(InstTable).where(InstTable.id == str_to_uuid(inst_id)))
+        .scalar_one_or_none()
+    )
+    if inst_query_result is None:
+        raise ValueError(f"Institution {inst_id} not found")
+
+    if inst_query_result.pdp_id:  # institution is PDP
+        pass
+    else:
+        existing_schema_extension = (
+                local_session.get()
+                .execute(
+                    select(SchemaRegistryTable.json_doc)
+                    .where(
+                        SchemaRegistryTable.inst_id == inst_id,
+                        SchemaRegistryTable.is_active.is_(True),
+                    )
+                    .limit(1)
+                )
+                .scalar_one_or_none()
+            )
+        if not existing_schema_extension:
+            schema_status = DatabricksControl.generate_schema_extension(
+                bucket_name=get_external_bucket_name(inst_id),
+                inst_query_result=inst_query_result, 
+                file_name=file_name,
+                )
+
     return validation_helper(
         "MANUAL_UPLOAD", inst_id, file_name, current_user, storage_control, sql_session
     )
diff --git a/src/webapp/validation.py b/src/webapp/validation.py
index 90583fb6..2055c680 100644
--- a/src/webapp/validation.py
+++ b/src/webapp/validation.py
@@ -174,6 +174,8 @@ def validate_dataset(
     else:
         model_list = list(models)  # <- ensures it's not a set
 
+    
+
     merged_specs: Dict[str, dict] = {}
     for m in model_list:
         specs = merge_model_columns(base_schema, ext_schema, institution_id, m.lower())

From 6970af95d1c39aecda1567ed74737dd8fb26ad43 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 21:23:56 -0500
Subject: [PATCH 02/46] fix: adjusted schema generator

---
 src/webapp/databricks.py   | 95 +++++++++++++++++++++++++-------------
 src/webapp/routers/data.py | 85 ++++++++++++++++++++++++++--------
 2 files changed, 130 insertions(+), 50 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index c4f91c5d..6611d7c7 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -12,12 +12,14 @@
     StatementState,
 )
 from google.cloud import storage
+import generate_extensions
 from .config import databricks_vars, gcs_vars
 from .utilities import databricksify_inst_name, SchemaType
-from typing import List, Any, Dict, IO, cast
+from typing import List, Any, Dict, IO, cast, Optional
 from databricks.sdk.errors import DatabricksError
 from fastapi import HTTPException
 import tomllib  # Python 3.11+
+import pandas as pd
 # Setting up logger
 LOGGER = logging.getLogger(__name__)
 
@@ -383,7 +385,10 @@ def generate_schema_extension(
         bucket_name: str,
         inst_query_result: Any,
         file_name: str,
-    ) -> Dict[str, Any]:
+        base_schema: Dict[str, Any],                # pass base schema dict in
+        extension_schema: Optional[dict] = None,    # existing extension or None
+    ) -> Optional[Dict[str, Any]]:
+        # 1) Databricks client
         try:
             w = WorkspaceClient(
                 host=databricks_vars["DATABRICKS_HOST_URL"],
@@ -391,54 +396,80 @@ def generate_schema_extension(
             )
             LOGGER.info("Successfully created Databricks WorkspaceClient.")
         except Exception as e:
-            LOGGER.exception(
-                "Failed to create Databricks WorkspaceClient with host: %s and service account: %s",
-                databricks_vars["DATABRICKS_HOST_URL"],
-                gcs_vars["GCP_SERVICE_ACCOUNT_EMAIL"],
-            )
-            raise ValueError(
-                f"fetch_table_data(): Workspace client initialization failed: {e}"
-            )
+            LOGGER.exception("WorkspaceClient init failed")
+            raise ValueError(f"Workspace client initialization failed: {e}")
+
+        # 2) Fetch & parse config.toml to get validation_mapping
         try:
-            config_volume_path = f"/Volumes/staging_sst_01/{databricksify_inst_name(inst_query_result[0][0].name)}_bronze/bronze_volume/config.toml"
-            LOGGER.info(f"Attempting to download from {config_volume_path}")
+            inst_name = inst_query_result[0][0].name
+            inst_id_raw = inst_query_result[0][0].id
+            inst_id = str(inst_id_raw)  # be robust if id is not a string
+            config_volume_path = (
+                f"/Volumes/staging_sst_01/"
+                f"{databricksify_inst_name(inst_name)}_bronze/bronze_volume/config.toml"
+            )
+            LOGGER.info("Attempting to download from %s", config_volume_path)
             response = w.files.download(config_volume_path)
             stream = cast(IO[bytes], response.contents)
             file_bytes = stream.read()
-
             LOGGER.info("Download successful, received %d bytes", len(file_bytes))
         except Exception as e:
-            LOGGER.exception(f"Failed to fetch model card: {e}")
+            LOGGER.exception("Failed to fetch config.toml")
             raise HTTPException(500, detail=f"Failed to fetch config: {e}")
 
         try:
-        # Databricks files are UTF-8; decode then parse
             cfg = tomllib.loads(file_bytes.decode("utf-8"))
-        except Exception as e:
-            LOGGER.exception("Invalid TOML in %s", file_name)
-            raise HTTPException(400, detail=f"Invalid TOML in {file_name}: {e}")
-        # Stream back as FileResponse
-
-        try:
             mapping = cfg["webapp"]["validation_mapping"]
         except KeyError:
             raise HTTPException(404, detail="Missing [webapp].validation_mapping in config.toml")
+        except Exception as e:
+            LOGGER.exception("Invalid TOML")
+            raise HTTPException(400, detail=f"Invalid TOML in {file_name}: {e}")
 
         if not isinstance(mapping, dict):
             raise HTTPException(400, detail="validation_mapping must be a TOML table (dictionary)")
 
-        LOGGER.info("validation_mapping keys: %s", list(mapping.keys()))
-
-        key = self.get_key_for_file(mapping, file_name)
+        key = self.get_key_for_file(mapping, file_name)  # e.g., "student"
         if key is None:
-            raise HTTPException(404, detail=f"{file_name} not found in validation_mapping")
+            raise HTTPException(404, detail=f"{file_name} not found in {inst_name} validation_mapping")
+
+        key_lc = key.lower()
+
+        # 4) If this model already exists in the provided extension for this institution, skip
+        if extension_schema is not None:
+            if not isinstance(extension_schema, dict):
+                raise HTTPException(400, detail="extension_schema must be a dict if provided")
 
-        client = storage.Client()
-        bucket = client.bucket(bucket_name)
-        blob = bucket.blob(f"unvalidated/{file_name}")
+            inst_block = (
+                extension_schema
+                .get("institutions", {})
+                .get(inst_id, {})
+            )
+            data_models = inst_block.get("data_models", {})
+            existing_keys_lc = {str(k).lower() for k in data_models.keys()}
+
+            if key_lc in existing_keys_lc:
+                LOGGER.info("Model '%s' already present for institution '%s' — skipping (return None).", key, inst_id)
+                return None  # <-- sentinel: do not write
+
+
+        # 5) Read the unvalidated CSV from GCS
         try:
-            with blob.open("r") as file:
-                
-        schems: List[str] = []
+            client = storage.Client()
+            bucket = client.bucket(bucket_name)
+            blob = bucket.blob(f"unvalidated/{file_name}")
+            with blob.open("r") as fh:
+                df = pd.read_csv(fh)
+        except Exception as e:
+            LOGGER.exception("Failed to read %s from GCS", file_name)
+            raise HTTPException(500, detail=f"Failed to read {file_name} from GCS: {e}")
+        
+        updated_extension = generate_extensions.generate_extension_schema(
+            df=df,
+            models=key,                      # exactly one model
+            institution_id=inst_id,
+            base_schema=base_schema,         # reference only, not mutated
+            existing_extension=extension_schema,  # may be None
+        )
 
-        return mapping
\ No newline at end of file
+        return updated_extension
\ No newline at end of file
diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 868c88f0..370f6911 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -1070,26 +1070,75 @@ def validate_file_manual_upload(
         raise ValueError(f"Institution {inst_id} not found")
 
     if inst_query_result.pdp_id:  # institution is PDP
-        pass
-    else:
-        existing_schema_extension = (
-                local_session.get()
-                .execute(
-                    select(SchemaRegistryTable.json_doc)
-                    .where(
-                        SchemaRegistryTable.inst_id == inst_id,
-                        SchemaRegistryTable.is_active.is_(True),
-                    )
-                    .limit(1)
-                )
-                .scalar_one_or_none()
+        return validation_helper("MANUAL_UPLOAD", inst_id, file_name, current_user, storage_control, sql_session)
+    
+    base_schema = (
+        local_session.get()
+        .execute(
+            select(SchemaRegistryTable.json_doc)
+            .where(
+                SchemaRegistryTable.doc_type == DocType.base,
+                SchemaRegistryTable.is_active.is_(True),
             )
-        if not existing_schema_extension:
-            schema_status = DatabricksControl.generate_schema_extension(
-                bucket_name=get_external_bucket_name(inst_id),
-                inst_query_result=inst_query_result, 
-                file_name=file_name,
+            .limit(1)
+        )
+        .scalar_one_or_none()
+    )
+
+    if not base_schema:
+        raise HTTPException(500, detail="Active base schema not found")
+
+    existing_schema_extension = (
+            local_session.get()
+            .execute(
+                select(SchemaRegistryTable.json_doc)
+                .where(
+                    SchemaRegistryTable.inst_id == inst_id,
+                    SchemaRegistryTable.is_active.is_(True),
                 )
+                .limit(1)
+            )
+            .scalar_one_or_none()
+        )
+    
+    schema_extension = DatabricksControl.generate_schema_extension(
+        bucket_name=get_external_bucket_name(inst_id),
+        inst_query_result=inst_query_result, 
+        file_name=file_name,
+        base_schema=base_schema,
+        extension_schema=existing_schema_extension
+        )
+
+    if schema_extension is None:
+        logging.info("No-op: extension already contains this model for inst %s", inst_id)
+        return validation_helper("MANUAL_UPLOAD", inst_id, file_name, current_user, storage_control, sql_session)
+
+    try:
+        new_schema_extension_record = SchemaRegistryTable(
+            doc_type=DocType.extension,
+            inst_id=str_to_uuid(inst_id),
+            is_pdp=False,  # type: ignore
+            version_label="1.0.0",
+            extends_schema_id=1,
+            json_doc=schema_extension,
+            is_active=True,
+        )
+        sess = local_session.get()
+        sess.add(new_schema_extension_record)
+        sess.flush()
+        logging.info("Schema record inserted for '%s'", inst_id)
+    except IntegrityError as e:
+        sess = local_session.get()
+        sess.rollback()
+        logging.warning("IntegrityError: %s", e)
+    except Exception as e:
+        sess = local_session.get()
+        sess.rollback()
+        logging.error("Unexpected DB error: %s", e)
+        raise HTTPException(
+            status_code=500,
+            detail=f"Unexpected database error while inserting file record: {e}",
+        )
 
     return validation_helper(
         "MANUAL_UPLOAD", inst_id, file_name, current_user, storage_control, sql_session

From 7aacccaeeea905bae144d62d2a82368fccd2d91c Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 21:25:50 -0500
Subject: [PATCH 03/46] fix: adjusted schema generator

---
 src/webapp/routers/data.py | 31 +++++++++++++++++--------------
 1 file changed, 17 insertions(+), 14 deletions(-)

diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 370f6911..351ef4c2 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -1075,35 +1075,38 @@ def validate_file_manual_upload(
     base_schema = (
         local_session.get()
         .execute(
-            select(SchemaRegistryTable.json_doc)
+            select(SchemaRegistryTable.schema_id, SchemaRegistryTable.json_doc)
             .where(
                 SchemaRegistryTable.doc_type == DocType.base,
                 SchemaRegistryTable.is_active.is_(True),
             )
             .limit(1)
         )
-        .scalar_one_or_none()
+        .first()
     )
 
     if not base_schema:
         raise HTTPException(500, detail="Active base schema not found")
+    
+    base_schema_id, base_schema = base_schema
 
     existing_schema_extension = (
-            local_session.get()
-            .execute(
-                select(SchemaRegistryTable.json_doc)
-                .where(
-                    SchemaRegistryTable.inst_id == inst_id,
-                    SchemaRegistryTable.is_active.is_(True),
-                )
-                .limit(1)
+        local_session.get()
+        .execute(
+            select(SchemaRegistryTable.json_doc)
+            .where(
+                SchemaRegistryTable.inst_id == str_to_uuid(inst_id),   # FIX: compare UUID to UUID
+                SchemaRegistryTable.is_active.is_(True),
+                SchemaRegistryTable.doc_type == DocType.extension,     # be explicit
             )
-            .scalar_one_or_none()
+            .limit(1)
         )
-    
+        .scalar_one_or_none()
+    )
+        
     schema_extension = DatabricksControl.generate_schema_extension(
         bucket_name=get_external_bucket_name(inst_id),
-        inst_query_result=inst_query_result, 
+        inst_query=inst_query_result, 
         file_name=file_name,
         base_schema=base_schema,
         extension_schema=existing_schema_extension
@@ -1119,7 +1122,7 @@ def validate_file_manual_upload(
             inst_id=str_to_uuid(inst_id),
             is_pdp=False,  # type: ignore
             version_label="1.0.0",
-            extends_schema_id=1,
+            extends_schema_id=base_schema_id,
             json_doc=schema_extension,
             is_active=True,
         )

From 2807df3046c52eb6f3a6d66a4e1e3595ef94465e Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 21:26:39 -0500
Subject: [PATCH 04/46] fix: adjusted schema generator

---
 src/webapp/databricks.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 6611d7c7..871663b9 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -383,7 +383,7 @@ def get_key_for_file(self, mapping: Dict[str, Any], file_name: str) -> Optional[
     def generate_schema_extension(
         self,
         bucket_name: str,
-        inst_query_result: Any,
+        inst_query: Any,
         file_name: str,
         base_schema: Dict[str, Any],                # pass base schema dict in
         extension_schema: Optional[dict] = None,    # existing extension or None
@@ -401,8 +401,8 @@ def generate_schema_extension(
 
         # 2) Fetch & parse config.toml to get validation_mapping
         try:
-            inst_name = inst_query_result[0][0].name
-            inst_id_raw = inst_query_result[0][0].id
+            inst_name = inst_query[0][0].name
+            inst_id_raw = inst_query[0][0].id
             inst_id = str(inst_id_raw)  # be robust if id is not a string
             config_volume_path = (
                 f"/Volumes/staging_sst_01/"

From 0b4bbfa74482ee1a94dc2b13b0e044fb68464057 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 21:42:26 -0500
Subject: [PATCH 05/46] fix: linting

---
 src/webapp/generate_extensions.py | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/src/webapp/generate_extensions.py b/src/webapp/generate_extensions.py
index 882d1c29..17d36eb9 100644
--- a/src/webapp/generate_extensions.py
+++ b/src/webapp/generate_extensions.py
@@ -1,6 +1,7 @@
 from typing import Union, List, Dict, Optional
 import pandas as pd
-import tempfile, os
+import tempfile
+import os
 import json
 
 from validation import (
@@ -20,7 +21,6 @@ def infer_column_schema(series: pd.Series, cate_threshold: int = 10) -> dict:
     Infer a minimal Pandera-style schema for a pandas Series.
     Categorical-like columns are marked as 'category' but NOT constrained to a fixed set of values.
     """
-    import numpy as np
 
     non_null = series.dropna()
     has_nulls = bool(series.isna().any())
@@ -107,8 +107,10 @@ def generate_extension_schema(
         extras = e.extra_columns or []
     finally:
         if tmp_path:
-            try: os.unlink(tmp_path)
-            except OSError: pass
+            try: 
+                os.unlink(tmp_path)
+            except OSError: 
+                pass
 
     # Nothing new to add
     if not extras:

From 82c69423b5b358b00cd621b64da06bdd9479ad68 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 21:43:42 -0500
Subject: [PATCH 06/46] fix: linting

---
 src/webapp/databricks.py          | 50 +++++++++++++++++++------------
 src/webapp/generate_extensions.py | 29 ++++++++++--------
 src/webapp/routers/data.py        | 41 +++++++++++++++++--------
 src/webapp/validation.py          |  2 --
 4 files changed, 76 insertions(+), 46 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 871663b9..7496bc68 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -20,6 +20,7 @@
 from fastapi import HTTPException
 import tomllib  # Python 3.11+
 import pandas as pd
+
 # Setting up logger
 LOGGER = logging.getLogger(__name__)
 
@@ -371,12 +372,16 @@ def fetch_table_data(
         # Combine column names with corresponding row values
         return [dict(zip(column_names, row)) for row in data_rows]
 
-    def get_key_for_file(self, mapping: Dict[str, Any], file_name: str) -> Optional[str]:
+    def get_key_for_file(
+        self, mapping: Dict[str, Any], file_name: str
+    ) -> Optional[str]:
         """Return the first key whose value equals file_name (or contains it if value is a list)."""
         for k, v in mapping.items():
             if isinstance(v, str) and v == file_name:
                 return k
-            if isinstance(v, list) and any(isinstance(x, str) and x == file_name for x in v):
+            if isinstance(v, list) and any(
+                isinstance(x, str) and x == file_name for x in v
+            ):
                 return k
         return None
 
@@ -385,8 +390,8 @@ def generate_schema_extension(
         bucket_name: str,
         inst_query: Any,
         file_name: str,
-        base_schema: Dict[str, Any],                # pass base schema dict in
-        extension_schema: Optional[dict] = None,    # existing extension or None
+        base_schema: Dict[str, Any],  # pass base schema dict in
+        extension_schema: Optional[dict] = None,  # existing extension or None
     ) -> Optional[Dict[str, Any]]:
         # 1) Databricks client
         try:
@@ -421,38 +426,45 @@ def generate_schema_extension(
             cfg = tomllib.loads(file_bytes.decode("utf-8"))
             mapping = cfg["webapp"]["validation_mapping"]
         except KeyError:
-            raise HTTPException(404, detail="Missing [webapp].validation_mapping in config.toml")
+            raise HTTPException(
+                404, detail="Missing [webapp].validation_mapping in config.toml"
+            )
         except Exception as e:
             LOGGER.exception("Invalid TOML")
             raise HTTPException(400, detail=f"Invalid TOML in {file_name}: {e}")
 
         if not isinstance(mapping, dict):
-            raise HTTPException(400, detail="validation_mapping must be a TOML table (dictionary)")
+            raise HTTPException(
+                400, detail="validation_mapping must be a TOML table (dictionary)"
+            )
 
         key = self.get_key_for_file(mapping, file_name)  # e.g., "student"
         if key is None:
-            raise HTTPException(404, detail=f"{file_name} not found in {inst_name} validation_mapping")
+            raise HTTPException(
+                404, detail=f"{file_name} not found in {inst_name} validation_mapping"
+            )
 
         key_lc = key.lower()
 
         # 4) If this model already exists in the provided extension for this institution, skip
         if extension_schema is not None:
             if not isinstance(extension_schema, dict):
-                raise HTTPException(400, detail="extension_schema must be a dict if provided")
+                raise HTTPException(
+                    400, detail="extension_schema must be a dict if provided"
+                )
 
-            inst_block = (
-                extension_schema
-                .get("institutions", {})
-                .get(inst_id, {})
-            )
+            inst_block = extension_schema.get("institutions", {}).get(inst_id, {})
             data_models = inst_block.get("data_models", {})
             existing_keys_lc = {str(k).lower() for k in data_models.keys()}
 
             if key_lc in existing_keys_lc:
-                LOGGER.info("Model '%s' already present for institution '%s' — skipping (return None).", key, inst_id)
+                LOGGER.info(
+                    "Model '%s' already present for institution '%s' — skipping (return None).",
+                    key,
+                    inst_id,
+                )
                 return None  # <-- sentinel: do not write
 
-
         # 5) Read the unvalidated CSV from GCS
         try:
             client = storage.Client()
@@ -463,13 +475,13 @@ def generate_schema_extension(
         except Exception as e:
             LOGGER.exception("Failed to read %s from GCS", file_name)
             raise HTTPException(500, detail=f"Failed to read {file_name} from GCS: {e}")
-        
+
         updated_extension = generate_extensions.generate_extension_schema(
             df=df,
-            models=key,                      # exactly one model
+            models=key,  # exactly one model
             institution_id=inst_id,
-            base_schema=base_schema,         # reference only, not mutated
+            base_schema=base_schema,  # reference only, not mutated
             existing_extension=extension_schema,  # may be None
         )
 
-        return updated_extension
\ No newline at end of file
+        return updated_extension
diff --git a/src/webapp/generate_extensions.py b/src/webapp/generate_extensions.py
index 17d36eb9..42710241 100644
--- a/src/webapp/generate_extensions.py
+++ b/src/webapp/generate_extensions.py
@@ -4,18 +4,18 @@
 import os
 import json
 
-from validation import (
-    validate_dataset, normalize_col, HardValidationError
-)
+from validation import validate_dataset, normalize_col, HardValidationError
+
 
 def load_json(path: str) -> dict:
     """Load JSON from a file, returning {} on failure."""
     try:
-        with open(path, 'r') as f:
+        with open(path, "r") as f:
             return json.load(f)
     except (FileNotFoundError, json.JSONDecodeError):
         return {}
 
+
 def infer_column_schema(series: pd.Series, cate_threshold: int = 10) -> dict:
     """
     Infer a minimal Pandera-style schema for a pandas Series.
@@ -64,11 +64,12 @@ def infer_column_schema(series: pd.Series, cate_threshold: int = 10) -> dict:
         "checks": checks,
     }
 
+
 def generate_extension_schema(
     df: Union[pd.DataFrame, str],
     models: Union[str, List[str]],
     institution_id: str,
-    base_schema: Dict,                          # <- reference only, not mutated
+    base_schema: Dict,  # <- reference only, not mutated
     existing_extension: Optional[Dict] = None,  # <- merged into/returned
 ) -> Dict:
     """
@@ -99,7 +100,7 @@ def generate_extension_schema(
         validate_dataset(
             filename=data_path,
             base_schema=base_schema,
-            ext_schema=existing_extension,   # columns already in extension won't be "extra"
+            ext_schema=existing_extension,  # columns already in extension won't be "extra"
             models=models,
             institution_id=institution_id,
         )
@@ -107,16 +108,16 @@ def generate_extension_schema(
         extras = e.extra_columns or []
     finally:
         if tmp_path:
-            try: 
+            try:
                 os.unlink(tmp_path)
-            except OSError: 
+            except OSError:
                 pass
 
     # Nothing new to add
     if not extras:
         return existing_extension or {
             "version": base_schema.get("version", "1.0.0"),
-            "institutions": {institution_id: {"data_models": {}}}
+            "institutions": {institution_id: {"data_models": {}}},
         }
 
     # Keep only extras actually present in the (normalized) DF
@@ -128,12 +129,14 @@ def generate_extension_schema(
     # Start from provided extension (or a fresh skeleton); base_schema is NOT modified
     extension = existing_extension or {
         "version": base_schema.get("version", "1.0.0"),
-        "institutions": {institution_id: {"data_models": {}}}
+        "institutions": {institution_id: {"data_models": {}}},
     }
 
-    inst_block = extension.setdefault("institutions", {}) \
-                          .setdefault(institution_id, {}) \
-                          .setdefault("data_models", {})
+    inst_block = (
+        extension.setdefault("institutions", {})
+        .setdefault(institution_id, {})
+        .setdefault("data_models", {})
+    )
 
     model_list = [models] if isinstance(models, str) else list(models or [])
 
diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 351ef4c2..141fc6c8 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -1057,7 +1057,7 @@ def validate_file_manual_upload(
     sql_session: Annotated[Session, Depends(get_session)],
 ) -> Any:
     """Validate a given file. The file_name should be url encoded."""
-    
+
     file_name = decode_url_piece(file_name)
     local_session.set(sql_session)
 
@@ -1070,8 +1070,15 @@ def validate_file_manual_upload(
         raise ValueError(f"Institution {inst_id} not found")
 
     if inst_query_result.pdp_id:  # institution is PDP
-        return validation_helper("MANUAL_UPLOAD", inst_id, file_name, current_user, storage_control, sql_session)
-    
+        return validation_helper(
+            "MANUAL_UPLOAD",
+            inst_id,
+            file_name,
+            current_user,
+            storage_control,
+            sql_session,
+        )
+
     base_schema = (
         local_session.get()
         .execute(
@@ -1087,7 +1094,7 @@ def validate_file_manual_upload(
 
     if not base_schema:
         raise HTTPException(500, detail="Active base schema not found")
-    
+
     base_schema_id, base_schema = base_schema
 
     existing_schema_extension = (
@@ -1095,26 +1102,36 @@ def validate_file_manual_upload(
         .execute(
             select(SchemaRegistryTable.json_doc)
             .where(
-                SchemaRegistryTable.inst_id == str_to_uuid(inst_id),   # FIX: compare UUID to UUID
+                SchemaRegistryTable.inst_id
+                == str_to_uuid(inst_id),  # FIX: compare UUID to UUID
                 SchemaRegistryTable.is_active.is_(True),
-                SchemaRegistryTable.doc_type == DocType.extension,     # be explicit
+                SchemaRegistryTable.doc_type == DocType.extension,  # be explicit
             )
             .limit(1)
         )
         .scalar_one_or_none()
     )
-        
+
     schema_extension = DatabricksControl.generate_schema_extension(
         bucket_name=get_external_bucket_name(inst_id),
-        inst_query=inst_query_result, 
+        inst_query=inst_query_result,
         file_name=file_name,
         base_schema=base_schema,
-        extension_schema=existing_schema_extension
-        )
+        extension_schema=existing_schema_extension,
+    )
 
     if schema_extension is None:
-        logging.info("No-op: extension already contains this model for inst %s", inst_id)
-        return validation_helper("MANUAL_UPLOAD", inst_id, file_name, current_user, storage_control, sql_session)
+        logging.info(
+            "No-op: extension already contains this model for inst %s", inst_id
+        )
+        return validation_helper(
+            "MANUAL_UPLOAD",
+            inst_id,
+            file_name,
+            current_user,
+            storage_control,
+            sql_session,
+        )
 
     try:
         new_schema_extension_record = SchemaRegistryTable(
diff --git a/src/webapp/validation.py b/src/webapp/validation.py
index 2055c680..90583fb6 100644
--- a/src/webapp/validation.py
+++ b/src/webapp/validation.py
@@ -174,8 +174,6 @@ def validate_dataset(
     else:
         model_list = list(models)  # <- ensures it's not a set
 
-    
-
     merged_specs: Dict[str, dict] = {}
     for m in model_list:
         specs = merge_model_columns(base_schema, ext_schema, institution_id, m.lower())

From 8ed043442a4f90db92f151bf01a0e2f5d3d25a30 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 21:52:02 -0500
Subject: [PATCH 07/46] fix: linting

---
 src/webapp/databricks.py          | 2 +-
 src/webapp/generate_extensions.py | 4 ++--
 src/webapp/routers/data.py        | 3 ++-
 3 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 7496bc68..70d75aa4 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -392,7 +392,7 @@ def generate_schema_extension(
         file_name: str,
         base_schema: Dict[str, Any],  # pass base schema dict in
         extension_schema: Optional[dict] = None,  # existing extension or None
-    ) -> Optional[Dict[str, Any]]:
+    ) -> Any:
         # 1) Databricks client
         try:
             w = WorkspaceClient(
diff --git a/src/webapp/generate_extensions.py b/src/webapp/generate_extensions.py
index 42710241..b682fcad 100644
--- a/src/webapp/generate_extensions.py
+++ b/src/webapp/generate_extensions.py
@@ -1,4 +1,4 @@
-from typing import Union, List, Dict, Optional
+from typing import Union, List, Dict, Optional, Any
 import pandas as pd
 import tempfile
 import os
@@ -7,7 +7,7 @@
 from validation import validate_dataset, normalize_col, HardValidationError
 
 
-def load_json(path: str) -> dict:
+def load_json(path: str) -> Any:
     """Load JSON from a file, returning {} on failure."""
     try:
         with open(path, "r") as f:
diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 141fc6c8..92ee7d86 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -1112,7 +1112,8 @@ def validate_file_manual_upload(
         .scalar_one_or_none()
     )
 
-    schema_extension = DatabricksControl.generate_schema_extension(
+    dbc = DatabricksControl()
+    schema_extension = dbc.generate_schema_extension(
         bucket_name=get_external_bucket_name(inst_id),
         inst_query=inst_query_result,
         file_name=file_name,

From 3f13887d6ffd113bbb5227623208e9206e04ae7d Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 21:55:15 -0500
Subject: [PATCH 08/46] fix: linting

---
 src/webapp/generate_extensions.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/src/webapp/generate_extensions.py b/src/webapp/generate_extensions.py
index b682fcad..b410acbd 100644
--- a/src/webapp/generate_extensions.py
+++ b/src/webapp/generate_extensions.py
@@ -26,6 +26,8 @@ def infer_column_schema(series: pd.Series, cate_threshold: int = 10) -> dict:
     has_nulls = bool(series.isna().any())
     uniques = non_null.unique().tolist()
 
+    checks: List[Dict[str, Any]] = []
+    
     # candidate for categorical, but relaxed (no fixed categories)
     if 1 < len(uniques) <= cate_threshold:
         return {

From 9df1e99c024d424bd77c3c2656a96e685ed491c3 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 21:55:30 -0500
Subject: [PATCH 09/46] fix: linting

---
 src/webapp/generate_extensions.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/webapp/generate_extensions.py b/src/webapp/generate_extensions.py
index b410acbd..3cefebe8 100644
--- a/src/webapp/generate_extensions.py
+++ b/src/webapp/generate_extensions.py
@@ -27,7 +27,7 @@ def infer_column_schema(series: pd.Series, cate_threshold: int = 10) -> dict:
     uniques = non_null.unique().tolist()
 
     checks: List[Dict[str, Any]] = []
-    
+
     # candidate for categorical, but relaxed (no fixed categories)
     if 1 < len(uniques) <= cate_threshold:
         return {

From 71863c467a20f8317dfdb964d02cbe98d2ef419c Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 22:01:53 -0500
Subject: [PATCH 10/46] fix: linting

---
 src/webapp/{generate_extensions.py => validation_extension.py} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename src/webapp/{generate_extensions.py => validation_extension.py} (100%)

diff --git a/src/webapp/generate_extensions.py b/src/webapp/validation_extension.py
similarity index 100%
rename from src/webapp/generate_extensions.py
rename to src/webapp/validation_extension.py

From c5284700b44522b1c2dcfbd52b963d9c124dcd6e Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 22:02:38 -0500
Subject: [PATCH 11/46] fix: linting

---
 src/webapp/databricks.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 70d75aa4..92c05539 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -12,7 +12,7 @@
     StatementState,
 )
 from google.cloud import storage
-import generate_extensions
+from validation_extension import generate_extension_schema
 from .config import databricks_vars, gcs_vars
 from .utilities import databricksify_inst_name, SchemaType
 from typing import List, Any, Dict, IO, cast, Optional
@@ -476,7 +476,7 @@ def generate_schema_extension(
             LOGGER.exception("Failed to read %s from GCS", file_name)
             raise HTTPException(500, detail=f"Failed to read {file_name} from GCS: {e}")
 
-        updated_extension = generate_extensions.generate_extension_schema(
+        updated_extension = generate_extension_schema(
             df=df,
             models=key,  # exactly one model
             institution_id=inst_id,

From b09518c701a62f981017f9fb1a11d53cb015f8d2 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 22:05:36 -0500
Subject: [PATCH 12/46] fix: linting

---
 src/webapp/validation_extension.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/src/webapp/validation_extension.py b/src/webapp/validation_extension.py
index 3cefebe8..7cad4799 100644
--- a/src/webapp/validation_extension.py
+++ b/src/webapp/validation_extension.py
@@ -1,3 +1,4 @@
+"""Validation extension."""
 from typing import Union, List, Dict, Optional, Any
 import pandas as pd
 import tempfile

From 41c35df01784dabee042b8351d72fc8dcb05858c Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 22:08:34 -0500
Subject: [PATCH 13/46] fix: linting

---
 src/webapp/databricks.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 92c05539..d018409b 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -12,7 +12,7 @@
     StatementState,
 )
 from google.cloud import storage
-from validation_extension import generate_extension_schema
+from .validation_extension import generate_extension_schema
 from .config import databricks_vars, gcs_vars
 from .utilities import databricksify_inst_name, SchemaType
 from typing import List, Any, Dict, IO, cast, Optional

From aaa801705524aca0dab7bec4adf025edce49de6e Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 22:09:54 -0500
Subject: [PATCH 14/46] fix: linting

---
 src/webapp/validation_extension.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/webapp/validation_extension.py b/src/webapp/validation_extension.py
index 7cad4799..b5ab64c5 100644
--- a/src/webapp/validation_extension.py
+++ b/src/webapp/validation_extension.py
@@ -5,7 +5,7 @@
 import os
 import json
 
-from validation import validate_dataset, normalize_col, HardValidationError
+from .validation import validate_dataset, normalize_col, HardValidationError
 
 
 def load_json(path: str) -> Any:

From af17d3ff878707dc392bfebca3754dc481b28a13 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 22:13:10 -0500
Subject: [PATCH 15/46] fix: linting

---
 pyproject.toml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index d4936bb6..2f9f4c6a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,7 +30,8 @@ dependencies = [
     "fuzzywuzzy",
     "databricks-sql-connector",
     "pandera~=0.13",
-    "mlflow"
+    "mlflow",
+    tomllib
 ]
 
 [project.urls]

From 887f94687aa6426998e96494297d131c949dda86 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 22:14:17 -0500
Subject: [PATCH 16/46] fix: linting

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 2f9f4c6a..ffc1ada4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ dependencies = [
     "databricks-sql-connector",
     "pandera~=0.13",
     "mlflow",
-    tomllib
+    "tomllib"
 ]
 
 [project.urls]

From 696bdf48c904919443c273ac93d71f277d3f5463 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 22:19:07 -0500
Subject: [PATCH 17/46] fix: linting

---
 pyproject.toml           | 3 +--
 src/webapp/databricks.py | 4 ++--
 2 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index ffc1ada4..d4936bb6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,8 +30,7 @@ dependencies = [
     "fuzzywuzzy",
     "databricks-sql-connector",
     "pandera~=0.13",
-    "mlflow",
-    "tomllib"
+    "mlflow"
 ]
 
 [project.urls]
diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index d018409b..67d6a834 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -18,7 +18,7 @@
 from typing import List, Any, Dict, IO, cast, Optional
 from databricks.sdk.errors import DatabricksError
 from fastapi import HTTPException
-import tomllib  # Python 3.11+
+import toml  # Python 3.11+
 import pandas as pd
 
 # Setting up logger
@@ -423,7 +423,7 @@ def generate_schema_extension(
             raise HTTPException(500, detail=f"Failed to fetch config: {e}")
 
         try:
-            cfg = tomllib.loads(file_bytes.decode("utf-8"))
+            cfg = toml.loads(file_bytes.decode("utf-8"))
             mapping = cfg["webapp"]["validation_mapping"]
         except KeyError:
             raise HTTPException(

From e2f294cc6a935a5c3754121379e58517e5a29dc1 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Mon, 11 Aug 2025 22:20:12 -0500
Subject: [PATCH 18/46] fix: linting

---
 pyproject.toml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index d4936bb6..6ba7850f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,7 +30,8 @@ dependencies = [
     "fuzzywuzzy",
     "databricks-sql-connector",
     "pandera~=0.13",
-    "mlflow"
+    "mlflow",
+    "toml"
 ]
 
 [project.urls]

From 6ca86fc085bf5d4faa6b45082c4b2aa2cf6c12bb Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 09:57:57 -0500
Subject: [PATCH 19/46] fix: linting

---
 src/webapp/routers/data.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 92ee7d86..5bd98c30 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -1063,7 +1063,7 @@ def validate_file_manual_upload(
 
     inst_query_result = (
         local_session.get()
-        .execute(select(InstTable).where(InstTable.id == str_to_uuid(inst_id)))
+        .execute(select(InstTable).where(InstTable.id == inst_id))
         .scalar_one_or_none()
     )
     if inst_query_result is None:

From b7141c8c1dbbbfe1bcb1f85b87cc858f16da6da4 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 10:02:25 -0500
Subject: [PATCH 20/46] fix: linting

---
 src/webapp/routers/data.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 5bd98c30..92ee7d86 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -1063,7 +1063,7 @@ def validate_file_manual_upload(
 
     inst_query_result = (
         local_session.get()
-        .execute(select(InstTable).where(InstTable.id == inst_id))
+        .execute(select(InstTable).where(InstTable.id == str_to_uuid(inst_id)))
         .scalar_one_or_none()
     )
     if inst_query_result is None:

From 908cd1d83eaf4a7302cc52d8fc73be46b3999c43 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 11:02:45 -0500
Subject: [PATCH 21/46] adjusted schema generatio logic

---
 src/webapp/routers/data.py         | 152 +++++++++--------------------
 src/webapp/validation_extension.py |   1 +
 2 files changed, 49 insertions(+), 104 deletions(-)

diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 92ee7d86..a0b5dfdb 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -907,18 +907,19 @@ def validation_helper(
     base_schema = (
         local_session.get()
         .execute(
-            select(SchemaRegistryTable.json_doc)
+            select(SchemaRegistryTable.schema_id, SchemaRegistryTable.json_doc)
             .where(
                 SchemaRegistryTable.doc_type == DocType.base,
                 SchemaRegistryTable.is_active.is_(True),
             )
             .limit(1)
         )
-        .scalar_one_or_none()
+        .first()
     )
     if base_schema is None:
         raise RuntimeError("No active base schema found")
 
+    base_schema_id, base_schema = base_schema
     # ----------------------- Fetch inst specific extension schema from DB ---------------------
     inst = (
         local_session.get()
@@ -949,12 +950,56 @@ def validation_helper(
                 .where(
                     SchemaRegistryTable.inst_id == inst.id,
                     SchemaRegistryTable.is_active.is_(True),
+                    SchemaRegistryTable.doc_type == DocType.extension,  # be explicit
                 )
                 .limit(1)
             )
             .scalar_one_or_none()
         )
 
+        dbc = DatabricksControl()
+        schema_extension = dbc.generate_schema_extension(
+            bucket_name=get_external_bucket_name(inst_id),
+            inst_query=inst,
+            file_name=file_name,
+            base_schema=base_schema,
+            extension_schema=inst_schema,
+        )
+
+        if schema_extension is not None:
+            updated_inst_schema = schema_extension
+            try:
+                new_schema_extension_record = SchemaRegistryTable(
+                    doc_type=DocType.extension,
+                    inst_id=str_to_uuid(inst_id),
+                    is_pdp=False,  # type: ignore
+                    version_label="1.0.0",
+                    extends_schema_id=base_schema_id,
+                    json_doc=schema_extension,
+                    is_active=True,
+                )
+                sess = local_session.get()
+                sess.add(new_schema_extension_record)
+                sess.flush()
+                logging.info("Schema record inserted for '%s'", inst_id)
+            except IntegrityError as e:
+                sess = local_session.get()
+                sess.rollback()
+                logging.warning("IntegrityError: %s", e)
+            except Exception as e:
+                sess = local_session.get()
+                sess.rollback()
+                logging.error("Unexpected DB error: %s", e)
+                raise HTTPException(
+                    status_code=500,
+                    detail=f"Unexpected database error while inserting file record: {e}",
+                )
+        else:
+            logging.info(
+                "No-op: extension already contains this model for inst %s", inst_id
+            )
+            updated_inst_schema = inst_schema
+
     # ----------------------- File validation logic logic --------------------------------------
     try:
         inferred_schemas = storage_control.validate_file(
@@ -962,7 +1007,7 @@ def validation_helper(
             file_name,
             allowed_schemas,
             base_schema,
-            inst_schema,
+            updated_inst_schema,
         )
         logging.debug(
             f"!!!!!!!!!!Inferred Schemas was successful {list(inferred_schemas)}"
@@ -1059,107 +1104,6 @@ def validate_file_manual_upload(
     """Validate a given file. The file_name should be url encoded."""
 
     file_name = decode_url_piece(file_name)
-    local_session.set(sql_session)
-
-    inst_query_result = (
-        local_session.get()
-        .execute(select(InstTable).where(InstTable.id == str_to_uuid(inst_id)))
-        .scalar_one_or_none()
-    )
-    if inst_query_result is None:
-        raise ValueError(f"Institution {inst_id} not found")
-
-    if inst_query_result.pdp_id:  # institution is PDP
-        return validation_helper(
-            "MANUAL_UPLOAD",
-            inst_id,
-            file_name,
-            current_user,
-            storage_control,
-            sql_session,
-        )
-
-    base_schema = (
-        local_session.get()
-        .execute(
-            select(SchemaRegistryTable.schema_id, SchemaRegistryTable.json_doc)
-            .where(
-                SchemaRegistryTable.doc_type == DocType.base,
-                SchemaRegistryTable.is_active.is_(True),
-            )
-            .limit(1)
-        )
-        .first()
-    )
-
-    if not base_schema:
-        raise HTTPException(500, detail="Active base schema not found")
-
-    base_schema_id, base_schema = base_schema
-
-    existing_schema_extension = (
-        local_session.get()
-        .execute(
-            select(SchemaRegistryTable.json_doc)
-            .where(
-                SchemaRegistryTable.inst_id
-                == str_to_uuid(inst_id),  # FIX: compare UUID to UUID
-                SchemaRegistryTable.is_active.is_(True),
-                SchemaRegistryTable.doc_type == DocType.extension,  # be explicit
-            )
-            .limit(1)
-        )
-        .scalar_one_or_none()
-    )
-
-    dbc = DatabricksControl()
-    schema_extension = dbc.generate_schema_extension(
-        bucket_name=get_external_bucket_name(inst_id),
-        inst_query=inst_query_result,
-        file_name=file_name,
-        base_schema=base_schema,
-        extension_schema=existing_schema_extension,
-    )
-
-    if schema_extension is None:
-        logging.info(
-            "No-op: extension already contains this model for inst %s", inst_id
-        )
-        return validation_helper(
-            "MANUAL_UPLOAD",
-            inst_id,
-            file_name,
-            current_user,
-            storage_control,
-            sql_session,
-        )
-
-    try:
-        new_schema_extension_record = SchemaRegistryTable(
-            doc_type=DocType.extension,
-            inst_id=str_to_uuid(inst_id),
-            is_pdp=False,  # type: ignore
-            version_label="1.0.0",
-            extends_schema_id=base_schema_id,
-            json_doc=schema_extension,
-            is_active=True,
-        )
-        sess = local_session.get()
-        sess.add(new_schema_extension_record)
-        sess.flush()
-        logging.info("Schema record inserted for '%s'", inst_id)
-    except IntegrityError as e:
-        sess = local_session.get()
-        sess.rollback()
-        logging.warning("IntegrityError: %s", e)
-    except Exception as e:
-        sess = local_session.get()
-        sess.rollback()
-        logging.error("Unexpected DB error: %s", e)
-        raise HTTPException(
-            status_code=500,
-            detail=f"Unexpected database error while inserting file record: {e}",
-        )
 
     return validation_helper(
         "MANUAL_UPLOAD", inst_id, file_name, current_user, storage_control, sql_session
diff --git a/src/webapp/validation_extension.py b/src/webapp/validation_extension.py
index b5ab64c5..b0b97d34 100644
--- a/src/webapp/validation_extension.py
+++ b/src/webapp/validation_extension.py
@@ -1,4 +1,5 @@
 """Validation extension."""
+
 from typing import Union, List, Dict, Optional, Any
 import pandas as pd
 import tempfile

From d93a7a9a9d2eae0f358ace64bb912ce4b00be4f6 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 11:08:57 -0500
Subject: [PATCH 22/46] adjusted schema generatio logic

---
 src/webapp/databricks.py        | 3 +++
 src/webapp/routers/data_test.py | 4 +++-
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 67d6a834..ee696b5b 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -394,6 +394,9 @@ def generate_schema_extension(
         extension_schema: Optional[dict] = None,  # existing extension or None
     ) -> Any:
         # 1) Databricks client
+        if os.getenv("SST_SKIP_EXT_GEN") == "1":
+            LOGGER.info("SST_SKIP_EXT_GEN=1; skipping Databricks extension generation.")
+            return None
         try:
             w = WorkspaceClient(
                 host=databricks_vars["DATABRICKS_HOST_URL"],
diff --git a/src/webapp/routers/data_test.py b/src/webapp/routers/data_test.py
index cc529934..f6e88795 100644
--- a/src/webapp/routers/data_test.py
+++ b/src/webapp/routers/data_test.py
@@ -192,7 +192,7 @@ def session_fixture():
 
 
 @pytest.fixture(name="client")
-def client_fixture(session: sqlalchemy.orm.Session) -> Any:
+def client_fixture(session: sqlalchemy.orm.Session, monkeypatch) -> Any:
     """Unit test mocks setup."""
 
     def get_session_override():
@@ -203,6 +203,8 @@ def get_current_active_user_override():
 
     def storage_control_override():
         return MOCK_STORAGE
+    
+    monkeypatch.setenv("SST_SKIP_EXT_GEN", "1")
 
     app.include_router(router)
     app.dependency_overrides[get_session] = get_session_override

From f34015350c9b2e06b453ff56a587cee79b171bd1 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 11:10:08 -0500
Subject: [PATCH 23/46] adjusted schema generatio logic

---
 src/webapp/routers/data_test.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/src/webapp/routers/data_test.py b/src/webapp/routers/data_test.py
index f6e88795..77fbaa79 100644
--- a/src/webapp/routers/data_test.py
+++ b/src/webapp/routers/data_test.py
@@ -194,6 +194,7 @@ def session_fixture():
 @pytest.fixture(name="client")
 def client_fixture(session: sqlalchemy.orm.Session, monkeypatch) -> Any:
     """Unit test mocks setup."""
+    monkeypatch.setenv("SST_SKIP_EXT_GEN", "1")
 
     def get_session_override():
         return session
@@ -203,8 +204,6 @@ def get_current_active_user_override():
 
     def storage_control_override():
         return MOCK_STORAGE
-    
-    monkeypatch.setenv("SST_SKIP_EXT_GEN", "1")
 
     app.include_router(router)
     app.dependency_overrides[get_session] = get_session_override

From d4b324404297c20e532b2a0f5eb1780e6bd8345b Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 11:11:05 -0500
Subject: [PATCH 24/46] adjusted schema generatio logic

---
 src/webapp/routers/data_test.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/webapp/routers/data_test.py b/src/webapp/routers/data_test.py
index 77fbaa79..d1cce3ee 100644
--- a/src/webapp/routers/data_test.py
+++ b/src/webapp/routers/data_test.py
@@ -192,7 +192,7 @@ def session_fixture():
 
 
 @pytest.fixture(name="client")
-def client_fixture(session: sqlalchemy.orm.Session, monkeypatch) -> Any:
+def client_fixture(session: sqlalchemy.orm.Session, monkeypatch: Any) -> Any:
     """Unit test mocks setup."""
     monkeypatch.setenv("SST_SKIP_EXT_GEN", "1")
 

From dd90b69f91ba826d95f3d85cb8c43f683e12119f Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 11:33:06 -0500
Subject: [PATCH 25/46] adjusted schema generatio logic

---
 src/webapp/databricks.py | 60 ++++++++++++++++++++++++++++++++++------
 1 file changed, 52 insertions(+), 8 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index ee696b5b..81b45fa0 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -20,6 +20,7 @@
 from fastapi import HTTPException
 import toml  # Python 3.11+
 import pandas as pd
+import re
 
 # Setting up logger
 LOGGER = logging.getLogger(__name__)
@@ -375,14 +376,57 @@ def fetch_table_data(
     def get_key_for_file(
         self, mapping: Dict[str, Any], file_name: str
     ) -> Optional[str]:
-        """Return the first key whose value equals file_name (or contains it if value is a list)."""
-        for k, v in mapping.items():
-            if isinstance(v, str) and v == file_name:
-                return k
-            if isinstance(v, list) and any(
-                isinstance(x, str) and x == file_name for x in v
-            ):
-                return k
+        """
+        Case-insensitive match of file_name against mapping values.
+        - Value may be a string or a list of strings.
+        - Each string can be:
+            * literal filename (e.g., "student.csv"): allow optional base suffixes
+            like "_20240101" before the extension; also allow optional extension
+            if the literal has none.
+            * regex pattern: matched with re.IGNORECASE against the whole filename.
+        """
+        name = os.path.basename(file_name)
+        _REGEX_HINT = re.compile(r"[()\[\]\{\}\|\?\+\*\\]|^\^|$")
+
+        def looks_like_regex(s: str) -> bool:
+            return bool(_REGEX_HINT.search(s))
+
+        for key, val in mapping.items():
+            candidates = val if isinstance(val, list) else [val]
+            for pat in candidates:
+                if not isinstance(pat, str):
+                    continue
+                p = pat.strip()
+
+                # Fast path: exact literal, case-insensitive
+                if name.casefold() == p.casefold():
+                    return key
+
+                if looks_like_regex(p):
+                    # Respect user’s regex; apply IGNORECASE instead of lowercasing
+                    try:
+                        if re.fullmatch(p, name, flags=re.IGNORECASE):
+                            return key
+                    except re.error:
+                        # bad regex in config: skip
+                        continue
+                else:
+                    # Literal with suffix tolerance (case-insensitive)
+                    p_base, p_ext = os.path.splitext(p)
+                    if p_ext:
+                        # e.g., ^student(?:[._-].+)?\.csv$
+                        rx = re.compile(
+                            rf"^{re.escape(p_base)}(?:[._-].+)?{re.escape(p_ext)}$",
+                            re.IGNORECASE,
+                        )
+                    else:
+                        # e.g., ^student(?:[._-].+)?(?:\..+)?$
+                        rx = re.compile(
+                            rf"^{re.escape(p)}(?:[._-].+)?(?:\..+)?$",
+                            re.IGNORECASE,
+                        )
+                    if rx.fullmatch(name):
+                        return key
         return None
 
     def generate_schema_extension(

From 48dfcd671a76e580e93091b21bae717b5fdbdb9b Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 11:46:59 -0500
Subject: [PATCH 26/46] adjusted schema generatio logic

---
 pyproject.toml           |  2 +-
 src/webapp/databricks.py | 11 +++++++----
 2 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 6ba7850f..3f725c47 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ dependencies = [
     "databricks-sql-connector",
     "pandera~=0.13",
     "mlflow",
-    "toml"
+    "tomli~=2.0"
 ]
 
 [project.urls]
diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 81b45fa0..1ed3e76e 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -18,7 +18,7 @@
 from typing import List, Any, Dict, IO, cast, Optional
 from databricks.sdk.errors import DatabricksError
 from fastapi import HTTPException
-import toml  # Python 3.11+
+import tomli  # Python 3.11+
 import pandas as pd
 import re
 
@@ -437,10 +437,13 @@ def generate_schema_extension(
         base_schema: Dict[str, Any],  # pass base schema dict in
         extension_schema: Optional[dict] = None,  # existing extension or None
     ) -> Any:
-        # 1) Databricks client
-        if os.getenv("SST_SKIP_EXT_GEN") == "1":
+        if (
+            os.getenv("SST_SKIP_EXT_GEN") == "1"
+        ):  # skip using workspace client for tests
             LOGGER.info("SST_SKIP_EXT_GEN=1; skipping Databricks extension generation.")
             return None
+
+        # 1) Databricks client
         try:
             w = WorkspaceClient(
                 host=databricks_vars["DATABRICKS_HOST_URL"],
@@ -470,7 +473,7 @@ def generate_schema_extension(
             raise HTTPException(500, detail=f"Failed to fetch config: {e}")
 
         try:
-            cfg = toml.loads(file_bytes.decode("utf-8"))
+            cfg = tomli.loads(file_bytes.decode("utf-8"))
             mapping = cfg["webapp"]["validation_mapping"]
         except KeyError:
             raise HTTPException(

From c4657e0eccd2c59d1e1c051508f67167fee2b7d8 Mon Sep 17 00:00:00 2001
From: Vishakh Pillai <vishpillai97@gmail.com>
Date: Tue, 12 Aug 2025 13:21:47 -0400
Subject: [PATCH 27/46] attempting to pin deps so that repo is more robust to
 package updates

---
 pyproject.toml           |   48 +-
 src/webapp/validation.py |    2 +-
 uv.lock                  | 3602 +++++++++++++++++++-------------------
 3 files changed, 1851 insertions(+), 1801 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index d4936bb6..81c867a0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,30 +7,28 @@ requires-python = ">=3.10,<3.13"
 dependencies = [
     "databricks-sdk~=0.38.0",
     "pydantic~=2.10",
-    "fastapi[standard]>=0.115.4",
-    "google-cloud>=0.34.0",
-    "google-cloud-storage>=2.18.2",
-    "paramiko>=3.5.0",
-    "cloud-sql-python-connector[pymysql]>=1.14.0",
-    "sqlalchemy>=2.0.36",
-    "pyjwt>=2.10.1",
-    "passlib>=1.7.4",
-    "bcrypt>=4.2.0",
-    "crypto>=1.4.1",
-    "python-dotenv>=1.0.1",
-    "strenum>=0.4.15",
+    "fastapi[standard]~=0.115.4",
+    "google-cloud-storage~=2.18.2",
+    "paramiko~=3.5.0",
+    "cloud-sql-python-connector[pymysql]~=1.14.0",
+    "sqlalchemy~=2.0.36",
+    "pyjwt~=2.10.1",
+    "passlib~=1.7.4",
+    "bcrypt~=4.2.0",
+    "pycryptodome~=3.20.0",
+    "python-dotenv~=1.0.1",
+    "strenum~=0.4.15",
     "tomli~=2.0; python_version<'3.11'",
-    "jsonpickle>=4.0.1",
-    "requests>=2.0.0",
-    "types-requests",
-    "types-paramiko",
-    "pandas",
-    "six",
-    "types-six",
-    "fuzzywuzzy",
-    "databricks-sql-connector",
+    "jsonpickle~=4.0.1",
+    "requests~=2.32.0",
+    "types-requests~=2.32.0.0",
+    "types-paramiko~=3.5.0.0",
+    "pandas~=2.0",
+    "six~=1.16.0",
+    "thefuzz[speedup]~=0.22.1",
+    "databricks-sql-connector~=3.5.0",
     "pandera~=0.13",
-    "mlflow"
+    "mlflow~=2.15.0"
 ]
 
 [project.urls]
@@ -38,12 +36,12 @@ Repository = "https://github.com/datakind/sst-app-api"
 
 [dependency-groups]
 dev = [
-    "black>=25.1.0",
-    "coverage>=7.6.9",
+    "black~=25.1.0",
+    "coverage~=7.6.9",
     "ipykernel~=6.29",
     "jupyterlab~=4.2",
     "mypy~=1.11",
-    "pylint>=3.3.2",
+    "pylint~=3.3.2",
     "pytest~=8.3",
     "ruff~=0.8",
 ]
diff --git a/src/webapp/validation.py b/src/webapp/validation.py
index 90583fb6..3f359aaf 100644
--- a/src/webapp/validation.py
+++ b/src/webapp/validation.py
@@ -12,7 +12,7 @@
 import pandas as pd
 from pandera import Column, Check, DataFrameSchema
 from pandera.errors import SchemaErrors
-from fuzzywuzzy import fuzz
+from thefuzz import fuzz
 
 
 def validate_file_reader(
diff --git a/uv.lock b/uv.lock
index ea59e134..88f4e8ac 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 1
+revision = 2
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
     "python_full_version < '3.11' and sys_platform != 'win32'",
@@ -15,18 +15,18 @@ resolution-markers = [
 name = "aiofiles"
 version = "24.1.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247 }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896, upload-time = "2024-06-24T11:02:01.529Z" },
 ]
 
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.4.4"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/7f/55/e4373e888fdacb15563ef6fa9fa8c8252476ea071e96fb46defac9f18bf2/aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", size = 21977 }
+sdist = { url = "https://files.pythonhosted.org/packages/7f/55/e4373e888fdacb15563ef6fa9fa8c8252476ea071e96fb46defac9f18bf2/aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", size = 21977, upload-time = "2024-11-30T18:44:00.701Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b9/74/fbb6559de3607b3300b9be3cc64e97548d55678e44623db17820dbd20002/aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8", size = 14756 },
+    { url = "https://files.pythonhosted.org/packages/b9/74/fbb6559de3607b3300b9be3cc64e97548d55678e44623db17820dbd20002/aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8", size = 14756, upload-time = "2024-11-30T18:43:39.849Z" },
 ]
 
 [[package]]
@@ -43,53 +43,53 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
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@@ -3315,6 +3365,7 @@ dependencies = [
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     { name = "passlib" },
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From 40f22e9243dd7dfa2e368ed3289aef02f7804a01 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 12:25:55 -0500
Subject: [PATCH 28/46] fixed test issues

---
 pyproject.toml                |    8 +-
 src/webapp/databricks.py      |   99 +-
 src/webapp/databricks_test.py |   45 +
 uv.lock                       | 3446 ++++++++++++++++-----------------
 4 files changed, 1823 insertions(+), 1775 deletions(-)
 create mode 100644 src/webapp/databricks_test.py

diff --git a/pyproject.toml b/pyproject.toml
index 3f725c47..89819bbf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,14 +24,14 @@ dependencies = [
     "requests>=2.0.0",
     "types-requests",
     "types-paramiko",
-    "pandas",
+    "pandas==1.5.3",
     "six",
     "types-six",
     "fuzzywuzzy",
     "databricks-sql-connector",
-    "pandera~=0.13",
-    "mlflow",
-    "tomli~=2.0"
+    "pandera==0.13.4",
+    "mlflow~=2.13",
+    "numpy==1.23.5",
 ]
 
 [project.urls]
diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 1ed3e76e..8dd5e87d 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -18,7 +18,10 @@
 from typing import List, Any, Dict, IO, cast, Optional
 from databricks.sdk.errors import DatabricksError
 from fastapi import HTTPException
-import tomli  # Python 3.11+
+try:
+    import tomllib as _toml  # Py 3.11+
+except ModuleNotFoundError:
+    import tomli as _toml    # Py ≤ 3.10
 import pandas as pd
 import re
 
@@ -373,60 +376,70 @@ def fetch_table_data(
         # Combine column names with corresponding row values
         return [dict(zip(column_names, row)) for row in data_rows]
 
-    def get_key_for_file(
-        self, mapping: Dict[str, Any], file_name: str
-    ) -> Optional[str]:
+    def get_key_for_file(self, mapping: Dict[str, Any], file_name: str) -> Optional[str]:
         """
         Case-insensitive match of file_name against mapping values.
-        - Value may be a string or a list of strings.
-        - Each string can be:
-            * literal filename (e.g., "student.csv"): allow optional base suffixes
-            like "_20240101" before the extension; also allow optional extension
-            if the literal has none.
-            * regex pattern: matched with re.IGNORECASE against the whole filename.
+        Values may be:
+        - str literal (e.g., "student.csv") → allow optional base suffixes before the ext.
+        - str regex (e.g., r"^course_.*\.csv$") → re.IGNORECASE fullmatch.
+        - compiled regex (re.Pattern) → fullmatch, adding IGNORECASE if missing.
+        - list of any of the above.
         """
-        name = os.path.basename(file_name)
-        _REGEX_HINT = re.compile(r"[()\[\]\{\}\|\?\+\*\\]|^\^|$")
+        # normalize filename (handles windows paths + stray whitespace)
+        name = os.path.basename(file_name.replace("\\", "/")).strip()
 
-        def looks_like_regex(s: str) -> bool:
-            return bool(_REGEX_HINT.search(s))
+        REGEX_META = re.compile(r"[()\[\]\{\}\|\?\+\*\\]")
 
-        for key, val in mapping.items():
-            candidates = val if isinstance(val, list) else [val]
-            for pat in candidates:
-                if not isinstance(pat, str):
-                    continue
+        def looks_like_regex(s: str) -> bool:
+            s = s.strip()
+            return s.startswith("^") or s.endswith("$") or REGEX_META.search(s) is not None
+
+        def matches_one(pat: Any) -> bool:
+            # compiled regex
+            if isinstance(pat, re.Pattern):
+                # ensure case-insensitive
+                flags = pat.flags | re.IGNORECASE
+                return re.fullmatch(re.compile(pat.pattern, flags), name) is not None
+
+            # string literal / regex
+            if isinstance(pat, str):
                 p = pat.strip()
 
-                # Fast path: exact literal, case-insensitive
+                # exact literal (case-insensitive)
                 if name.casefold() == p.casefold():
-                    return key
+                    return True
 
                 if looks_like_regex(p):
-                    # Respect user’s regex; apply IGNORECASE instead of lowercasing
                     try:
-                        if re.fullmatch(p, name, flags=re.IGNORECASE):
-                            return key
+                        return re.fullmatch(p, name, flags=re.IGNORECASE) is not None
                     except re.error:
-                        # bad regex in config: skip
-                        continue
+                        return False
+
+                # literal with suffix tolerance
+                p_base, p_ext = os.path.splitext(p)
+                if p_ext:
+                    # ^base(?:[._-].+)?ext$
+                    rx = re.compile(
+                        rf"^{re.escape(p_base)}(?:[._-].+)?{re.escape(p_ext)}$",
+                        re.IGNORECASE,
+                    )
                 else:
-                    # Literal with suffix tolerance (case-insensitive)
-                    p_base, p_ext = os.path.splitext(p)
-                    if p_ext:
-                        # e.g., ^student(?:[._-].+)?\.csv$
-                        rx = re.compile(
-                            rf"^{re.escape(p_base)}(?:[._-].+)?{re.escape(p_ext)}$",
-                            re.IGNORECASE,
-                        )
-                    else:
-                        # e.g., ^student(?:[._-].+)?(?:\..+)?$
-                        rx = re.compile(
-                            rf"^{re.escape(p)}(?:[._-].+)?(?:\..+)?$",
-                            re.IGNORECASE,
-                        )
-                    if rx.fullmatch(name):
-                        return key
+                    # ^literal(?:[._-].+)?(?:\..+)?$
+                    rx = re.compile(
+                        rf"^{re.escape(p)}(?:[._-].+)?(?:\..+)?$",
+                        re.IGNORECASE,
+                    )
+                return rx.fullmatch(name) is not None
+
+            # unsupported type
+            return False
+
+        for key, val in mapping.items():
+            items = val if isinstance(val, list) else [val]
+            for pat in items:
+                if matches_one(pat):
+                    return key
+
         return None
 
     def generate_schema_extension(
@@ -473,7 +486,7 @@ def generate_schema_extension(
             raise HTTPException(500, detail=f"Failed to fetch config: {e}")
 
         try:
-            cfg = tomli.loads(file_bytes.decode("utf-8"))
+            cfg = _toml.loads(file_bytes.decode("utf-8"))
             mapping = cfg["webapp"]["validation_mapping"]
         except KeyError:
             raise HTTPException(
diff --git a/src/webapp/databricks_test.py b/src/webapp/databricks_test.py
new file mode 100644
index 00000000..d8145038
--- /dev/null
+++ b/src/webapp/databricks_test.py
@@ -0,0 +1,45 @@
+import pytest
+
+from .databricks import DatabricksControl
+
+@pytest.fixture
+def ctrl():
+    return DatabricksControl()
+
+def test_exact_literal_case_insensitive(ctrl):
+    mapping = {"student": "student.csv"}
+    assert ctrl.get_key_for_file(mapping, "Student.csv") == "student"
+
+def test_literal_with_suffix_and_same_ext(ctrl):
+    mapping = {"student": "student.csv"}
+    assert ctrl.get_key_for_file(mapping, "student_20240101.csv") == "student"
+    assert ctrl.get_key_for_file(mapping, "student-final.csv") == "student"
+    # should not match a different extension
+    assert ctrl.get_key_for_file(mapping, "student_20240101.tsv") is None
+
+def test_literal_without_ext_allows_suffix_and_optional_ext(ctrl):
+    mapping = {"student": "student"}
+    assert ctrl.get_key_for_file(mapping, "student") == "student"
+    assert ctrl.get_key_for_file(mapping, "student_v2") == "student"
+    assert ctrl.get_key_for_file(mapping, "student_v2.csv") == "student"
+
+def test_regex_fullmatch_ignorecase(ctrl):
+    mapping = {"course": r"^course(?:[._-].+)?\.csv$"}
+    assert ctrl.get_key_for_file(mapping, "Course_20240101.CSV") == "course"
+    assert ctrl.get_key_for_file(mapping, "COURSE.csv") == "course"
+    # ensure fullmatch (not substring)
+    assert ctrl.get_key_for_file(mapping, "my_course_20240101.csv") is None
+
+def test_list_values_mixed_literal_and_regex(ctrl):
+    mapping = {"student": ["students.csv", r"^stud\d+\.csv$"]}
+    assert ctrl.get_key_for_file(mapping, "STUD123.csv") == "student"
+    assert ctrl.get_key_for_file(mapping, "students_2024.csv") == "student"
+
+def test_invalid_regex_is_ignored(ctrl):
+    mapping = {"bad": ["(unclosed", "ok.csv"]}
+    # bad regex should be skipped; literal should match
+    assert ctrl.get_key_for_file(mapping, "OK.csv") == "bad"
+
+def test_returns_none_when_no_match(ctrl):
+    mapping = {"student": "student.csv"}
+    assert ctrl.get_key_for_file(mapping, "unknown.csv") is None
\ No newline at end of file
diff --git a/uv.lock b/uv.lock
index ea59e134..36c308c0 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 1
+revision = 2
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
     "python_full_version < '3.11' and sys_platform != 'win32'",
@@ -15,18 +15,18 @@ resolution-markers = [
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 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247 }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896, upload-time = "2024-06-24T11:02:01.529Z" },
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 version = "2.4.4"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/7f/55/e4373e888fdacb15563ef6fa9fa8c8252476ea071e96fb46defac9f18bf2/aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745", size = 21977, upload-time = "2024-11-30T18:44:00.701Z" }
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+    { url = "https://files.pythonhosted.org/packages/b9/74/fbb6559de3607b3300b9be3cc64e97548d55678e44623db17820dbd20002/aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8", size = 14756, upload-time = "2024-11-30T18:43:39.849Z" },
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     { name = "propcache" },
     { name = "yarl" },
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 version = "3.23.0"
 source = { registry = "https://pypi.org/simple" }
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 wheels = [
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From aa46254a7e8c5302032652571fb7d38d0a510bb1 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 12:26:35 -0500
Subject: [PATCH 29/46] fixed test issues

---
 src/webapp/databricks.py      | 11 ++++++++---
 src/webapp/databricks_test.py | 10 +++++++++-
 2 files changed, 17 insertions(+), 4 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 8dd5e87d..476ced99 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -18,10 +18,11 @@
 from typing import List, Any, Dict, IO, cast, Optional
 from databricks.sdk.errors import DatabricksError
 from fastapi import HTTPException
+
 try:
     import tomllib as _toml  # Py 3.11+
 except ModuleNotFoundError:
-    import tomli as _toml    # Py ≤ 3.10
+    import tomli as _toml  # Py ≤ 3.10
 import pandas as pd
 import re
 
@@ -376,7 +377,9 @@ def fetch_table_data(
         # Combine column names with corresponding row values
         return [dict(zip(column_names, row)) for row in data_rows]
 
-    def get_key_for_file(self, mapping: Dict[str, Any], file_name: str) -> Optional[str]:
+    def get_key_for_file(
+        self, mapping: Dict[str, Any], file_name: str
+    ) -> Optional[str]:
         """
         Case-insensitive match of file_name against mapping values.
         Values may be:
@@ -392,7 +395,9 @@ def get_key_for_file(self, mapping: Dict[str, Any], file_name: str) -> Optional[
 
         def looks_like_regex(s: str) -> bool:
             s = s.strip()
-            return s.startswith("^") or s.endswith("$") or REGEX_META.search(s) is not None
+            return (
+                s.startswith("^") or s.endswith("$") or REGEX_META.search(s) is not None
+            )
 
         def matches_one(pat: Any) -> bool:
             # compiled regex
diff --git a/src/webapp/databricks_test.py b/src/webapp/databricks_test.py
index d8145038..37fa2855 100644
--- a/src/webapp/databricks_test.py
+++ b/src/webapp/databricks_test.py
@@ -2,14 +2,17 @@
 
 from .databricks import DatabricksControl
 
+
 @pytest.fixture
 def ctrl():
     return DatabricksControl()
 
+
 def test_exact_literal_case_insensitive(ctrl):
     mapping = {"student": "student.csv"}
     assert ctrl.get_key_for_file(mapping, "Student.csv") == "student"
 
+
 def test_literal_with_suffix_and_same_ext(ctrl):
     mapping = {"student": "student.csv"}
     assert ctrl.get_key_for_file(mapping, "student_20240101.csv") == "student"
@@ -17,12 +20,14 @@ def test_literal_with_suffix_and_same_ext(ctrl):
     # should not match a different extension
     assert ctrl.get_key_for_file(mapping, "student_20240101.tsv") is None
 
+
 def test_literal_without_ext_allows_suffix_and_optional_ext(ctrl):
     mapping = {"student": "student"}
     assert ctrl.get_key_for_file(mapping, "student") == "student"
     assert ctrl.get_key_for_file(mapping, "student_v2") == "student"
     assert ctrl.get_key_for_file(mapping, "student_v2.csv") == "student"
 
+
 def test_regex_fullmatch_ignorecase(ctrl):
     mapping = {"course": r"^course(?:[._-].+)?\.csv$"}
     assert ctrl.get_key_for_file(mapping, "Course_20240101.CSV") == "course"
@@ -30,16 +35,19 @@ def test_regex_fullmatch_ignorecase(ctrl):
     # ensure fullmatch (not substring)
     assert ctrl.get_key_for_file(mapping, "my_course_20240101.csv") is None
 
+
 def test_list_values_mixed_literal_and_regex(ctrl):
     mapping = {"student": ["students.csv", r"^stud\d+\.csv$"]}
     assert ctrl.get_key_for_file(mapping, "STUD123.csv") == "student"
     assert ctrl.get_key_for_file(mapping, "students_2024.csv") == "student"
 
+
 def test_invalid_regex_is_ignored(ctrl):
     mapping = {"bad": ["(unclosed", "ok.csv"]}
     # bad regex should be skipped; literal should match
     assert ctrl.get_key_for_file(mapping, "OK.csv") == "bad"
 
+
 def test_returns_none_when_no_match(ctrl):
     mapping = {"student": "student.csv"}
-    assert ctrl.get_key_for_file(mapping, "unknown.csv") is None
\ No newline at end of file
+    assert ctrl.get_key_for_file(mapping, "unknown.csv") is None

From 68ba40c07b20c7c5330955c6922a7d4e7cb72a2a Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 12:29:58 -0500
Subject: [PATCH 30/46] fixed test issues

---
 pyproject.toml | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 89819bbf..3bcd71ec 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,14 +24,13 @@ dependencies = [
     "requests>=2.0.0",
     "types-requests",
     "types-paramiko",
-    "pandas==1.5.3",
+    "pandas",
     "six",
     "types-six",
     "fuzzywuzzy",
     "databricks-sql-connector",
     "pandera==0.13.4",
-    "mlflow~=2.13",
-    "numpy==1.23.5",
+    "mlflow~=2.13"
 ]
 
 [project.urls]

From 55fff942a9171aef6799444726a0062cd30cfd8a Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 12:31:26 -0500
Subject: [PATCH 31/46] fixed test issues

---
 uv.lock | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/uv.lock b/uv.lock
index 36c308c0..50db27ca 100644
--- a/uv.lock
+++ b/uv.lock
@@ -3281,7 +3281,6 @@ dependencies = [
     { name = "google-cloud-storage" },
     { name = "jsonpickle" },
     { name = "mlflow" },
-    { name = "numpy" },
     { name = "pandas" },
     { name = "pandera" },
     { name = "paramiko" },
@@ -3324,8 +3323,7 @@ requires-dist = [
     { name = "google-cloud-storage", specifier = ">=2.18.2" },
     { name = "jsonpickle", specifier = ">=4.0.1" },
     { name = "mlflow", specifier = "~=2.13" },
-    { name = "numpy", specifier = "==1.23.5" },
-    { name = "pandas", specifier = "==1.5.3" },
+    { name = "pandas" },
     { name = "pandera", specifier = "==0.13.4" },
     { name = "paramiko", specifier = ">=3.5.0" },
     { name = "passlib", specifier = ">=1.7.4" },

From e262392ac14eb720c5cd23a5d5fcc4ca915feb64 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 12:33:24 -0500
Subject: [PATCH 32/46] fixed test issues

---
 pyproject.toml | 4 ++--
 uv.lock        | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 3bcd71ec..d4936bb6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -29,8 +29,8 @@ dependencies = [
     "types-six",
     "fuzzywuzzy",
     "databricks-sql-connector",
-    "pandera==0.13.4",
-    "mlflow~=2.13"
+    "pandera~=0.13",
+    "mlflow"
 ]
 
 [project.urls]
diff --git a/uv.lock b/uv.lock
index 50db27ca..5e0c29a5 100644
--- a/uv.lock
+++ b/uv.lock
@@ -3322,9 +3322,9 @@ requires-dist = [
     { name = "google-cloud", specifier = ">=0.34.0" },
     { name = "google-cloud-storage", specifier = ">=2.18.2" },
     { name = "jsonpickle", specifier = ">=4.0.1" },
-    { name = "mlflow", specifier = "~=2.13" },
+    { name = "mlflow" },
     { name = "pandas" },
-    { name = "pandera", specifier = "==0.13.4" },
+    { name = "pandera", specifier = "~=0.13" },
     { name = "paramiko", specifier = ">=3.5.0" },
     { name = "passlib", specifier = ">=1.7.4" },
     { name = "pydantic", specifier = "~=2.10" },

From 168dc1ec18e6af36485eaf0d28c66c4087f31d96 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 12:41:47 -0500
Subject: [PATCH 33/46] fix: deps issues pulled from dev

---
 uv.lock | 15 ---------------
 1 file changed, 15 deletions(-)

diff --git a/uv.lock b/uv.lock
index 0d89b2b6..61e03b17 100644
--- a/uv.lock
+++ b/uv.lock
@@ -811,8 +811,6 @@ dependencies = [
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-<<<<<<< HEAD
-=======
 ]
 
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@@ -822,7 +820,6 @@ source = { registry = "https://pypi.org/simple" }
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->>>>>>> c4657e0eccd2c59d1e1c051508f67167fee2b7d8
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-=======
->>>>>>> c4657e0eccd2c59d1e1c051508f67167fee2b7d8
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 [[package]]

From a931c7748297b3c9405c6edd4fa75a6c5668c664 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 12:44:16 -0500
Subject: [PATCH 34/46] fix: deps issues pulled from dev

---
 uv.lock | 3111 ++++++++++++++++++++++++++++---------------------------
 1 file changed, 1582 insertions(+), 1529 deletions(-)

diff --git a/uv.lock b/uv.lock
index 61e03b17..4c589d69 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,13 +2,12 @@ version = 1
 revision = 2
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
-    "python_full_version < '3.11' and sys_platform != 'win32'",
-    "python_version < '0'",
-    "python_full_version == '3.11.*' and sys_platform != 'win32'",
     "python_full_version >= '3.12' and sys_platform != 'win32'",
-    "python_full_version < '3.11' and sys_platform == 'win32'",
-    "python_full_version == '3.11.*' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform != 'win32'",
     "python_full_version >= '3.12' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform == 'win32'",
+    "python_full_version < '3.11' and sys_platform != 'win32'",
+    "python_full_version < '3.11' and sys_platform == 'win32'",
 ]
 
 [[package]]
@@ -22,16 +21,16 @@ wheels = [
 
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+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
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+version = "3.12.15"
 source = { registry = "https://pypi.org/simple" }
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     { name = "yarl" },
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 [[package]]
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->>>>>>> c4657e0eccd2c59d1e1c051508f67167fee2b7d8
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+    { url = "https://files.pythonhosted.org/packages/ac/99/b8a142e79eb86c926f9f06452eb13ecb1bb5713bd01dc0038faf5452e544/yarl-1.20.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:4c3ae28f3ae1563c50f3d37f064ddb1511ecc1d5584e88c6b7c63cf7702a6d5f", size = 364142, upload-time = "2025-06-10T00:44:06.527Z" },
+    { url = "https://files.pythonhosted.org/packages/34/f2/08ed34a4a506d82a1a3e5bab99ccd930a040f9b6449e9fd050320e45845c/yarl-1.20.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:c5e9642f27036283550f5f57dc6156c51084b458570b9d0d96100c8bebb186a8", size = 381894, upload-time = "2025-06-10T00:44:08.379Z" },
+    { url = "https://files.pythonhosted.org/packages/92/f8/9a3fbf0968eac704f681726eff595dce9b49c8a25cd92bf83df209668285/yarl-1.20.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:2c26b0c49220d5799f7b22c6838409ee9bc58ee5c95361a4d7831f03cc225b5a", size = 383378, upload-time = "2025-06-10T00:44:10.51Z" },
+    { url = "https://files.pythonhosted.org/packages/af/85/9363f77bdfa1e4d690957cd39d192c4cacd1c58965df0470a4905253b54f/yarl-1.20.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:564ab3d517e3d01c408c67f2e5247aad4019dcf1969982aba3974b4093279004", size = 374069, upload-time = "2025-06-10T00:44:12.834Z" },
+    { url = "https://files.pythonhosted.org/packages/35/99/9918c8739ba271dcd935400cff8b32e3cd319eaf02fcd023d5dcd487a7c8/yarl-1.20.1-cp312-cp312-win32.whl", hash = "sha256:daea0d313868da1cf2fac6b2d3a25c6e3a9e879483244be38c8e6a41f1d876a5", size = 81249, upload-time = "2025-06-10T00:44:14.731Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/83/5d9092950565481b413b31a23e75dd3418ff0a277d6e0abf3729d4d1ce25/yarl-1.20.1-cp312-cp312-win_amd64.whl", hash = "sha256:48ea7d7f9be0487339828a4de0360d7ce0efc06524a48e1810f945c45b813698", size = 86710, upload-time = "2025-06-10T00:44:16.716Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/2d/2345fce04cfd4bee161bf1e7d9cdc702e3e16109021035dbb24db654a622/yarl-1.20.1-py3-none-any.whl", hash = "sha256:83b8eb083fe4683c6115795d9fc1cfaf2cbbefb19b3a1cb68f6527460f483a77", size = 46542, upload-time = "2025-06-10T00:46:07.521Z" },
 ]
 
 [[package]]

From 9f25f4e80355e1a8aacd8d5c157ac8dcd5850a84 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 12:59:11 -0500
Subject: [PATCH 35/46] renamed confusing func

---
 src/webapp/databricks.py   | 2 +-
 src/webapp/routers/data.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 476ced99..0f9612ec 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -447,7 +447,7 @@ def matches_one(pat: Any) -> bool:
 
         return None
 
-    def generate_schema_extension(
+    def create_custom_schema_extension(
         self,
         bucket_name: str,
         inst_query: Any,
diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index a0b5dfdb..c8f7a03a 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -958,7 +958,7 @@ def validation_helper(
         )
 
         dbc = DatabricksControl()
-        schema_extension = dbc.generate_schema_extension(
+        schema_extension = dbc.create_custom_schema_extension(
             bucket_name=get_external_bucket_name(inst_id),
             inst_query=inst,
             file_name=file_name,

From 87ea884c5efc1a4c4be3411bed7f5b0cb22eaca6 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Tue, 12 Aug 2025 17:22:12 -0500
Subject: [PATCH 36/46] fixL linting

---
 src/webapp/routers/data.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index c8f7a03a..5850d538 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -942,6 +942,7 @@ def validation_helper(
             )
             .scalar_one_or_none()
         )
+        updated_inst_schema: dict | None = inst_schema
     else:  # custom (or none)
         inst_schema = (
             local_session.get()

From f7bf35f3dcc28f17d16b563e3e8ccd3aa01f89f4 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 09:53:23 -0500
Subject: [PATCH 37/46] added delete batch endpoint

---
 src/webapp/databricks.py   |  50 +++++++++++++++++
 src/webapp/routers/data.py | 108 +++++++++++++++++++++++++++++++++++++
 2 files changed, 158 insertions(+)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 0f9612ec..ba801426 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -18,6 +18,7 @@
 from typing import List, Any, Dict, IO, cast, Optional
 from databricks.sdk.errors import DatabricksError
 from fastapi import HTTPException
+from datetime import datetime, timezone
 
 try:
     import tomllib as _toml  # Py 3.11+
@@ -553,3 +554,52 @@ def create_custom_schema_extension(
         )
 
         return updated_extension
+
+    def delete_batch_files(
+        self,
+        bucket_name: str,
+        batch_files: list[str],
+    ) -> Any:
+        try:
+            w = WorkspaceClient(
+                host=databricks_vars["DATABRICKS_HOST_URL"],
+                google_service_account=gcs_vars["GCP_SERVICE_ACCOUNT_EMAIL"],
+            )
+            LOGGER.info("Successfully created Databricks WorkspaceClient.")
+        except Exception as e:
+            LOGGER.exception("WorkspaceClient init failed")
+            raise ValueError(f"Workspace client initialization failed: {e}")
+
+        client = storage.Client()
+        bucket = client.bucket(bucket_name)
+        prefix = "validated/"
+
+        now_iso = lambda: datetime.now(timezone.utc).isoformat()
+        deleted: List[Dict[str, str]] = []
+        not_found: List[str] = []
+        errors: List[Dict[str, str]] = []
+
+        for fname in batch_files:
+            if not isinstance(fname, str) or not fname.strip():
+                errors.append({"file": str(fname), "path": f"{prefix}{fname}", "error": "invalid filename"})
+                continue
+
+            blob_path = f"{prefix}{fname}"
+            try:
+                LOGGER.info("Attempting to delete gs://%s/%s", bucket_name, blob_path)
+                # One-liner delete; raises NotFound if missing
+                bucket.delete_blob(blob_path)
+                LOGGER.info("Delete successful: gs://%s/%s", bucket_name, blob_path)
+                deleted.append({"file": fname, "path": blob_path, "deleted_at": now_iso()})
+            except Exception as e:
+                LOGGER.warning("Blob not found: gs://%s/%s", bucket_name, blob_path)
+                not_found.append(fname)
+            except Exception as e:  # network/other unexpected errors
+                LOGGER.exception("Unexpected error deleting gs://%s/%s", bucket_name, blob_path)
+                errors.append({"file": fname, "path": blob_path, "error": str(e)})
+
+        return {
+            "deleted": deleted,
+            "not_found": not_found,
+            "errors": errors,
+        }
\ No newline at end of file
diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 5850d538..6a8be274 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -683,6 +683,114 @@ def update_batch(
         "updated_at": query_result[0][0].updated_at,
     }
 
+@router.patch("/{inst_id}/delete-batch/{batch_id}", response_model=BatchInfo)
+def delete_batch(
+    inst_id: str,
+    batch_id: str,
+    current_user: Annotated[BaseUser, Depends(get_current_active_user)],
+    sql_session: Annotated[Session, Depends(get_session)],
+) -> Any:
+    has_access_to_inst_or_err(inst_id, current_user)
+    model_owner_and_higher_or_err(current_user, "modify batch")
+
+    local_session.set(sql_session)
+    sess = local_session.get()
+
+    batch = (
+        sess.execute(
+            select(BatchTable).where(
+                BatchTable.id == str_to_uuid(batch_id),
+                BatchTable.inst_id == str_to_uuid(inst_id),
+            )
+        )
+        .scalar_one_or_none()
+    )
+    if batch is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Batch not found.")
+
+    # 2) Gather filenames to delete
+    batch_files: list[str] = (
+        sess.execute(
+            select(FileTable.name).where(
+                    FileTable.id == str_to_uuid(batch_id),
+                    FileTable.inst_id == str_to_uuid(inst_id),
+                )
+            )
+        .scalars()
+        .all()
+    )
+
+    if not batch_files:
+        sess.delete(batch)
+        sess.flush()
+        return {
+            "inst_id": inst_id,
+            "batch_id": batch_id,
+            "deleted": [],
+            "not_found": [],
+            "errors": [],
+            "db_deleted_rows": 0,
+            "batch_deleted": True,
+            "message": "No files associated with this batch id.",
+        }
+
+    dbc = DatabricksControl()
+    gcs_result = dbc.delete_batch_files(
+        bucket_name= get_external_bucket_name(inst_id),
+        batch_files= batch_files
+    )
+
+    if gcs_result.get("errors"):
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Unable to delete files {gcs_result['errors']}.",
+        )
+    
+    # 4) Delete DB rows only for blobs that were actually deleted
+    deleted_names = {d["file"] for d in gcs_result.get("deleted", [])}
+    not_found_names = set(gcs_result.get("not_found", []))
+    target_names = {n for n in (deleted_names | not_found_names) if n}
+
+    db_deleted_rows = 0
+    if target_names:
+        try:
+            rows = (
+                sess.execute(
+                    select(FileTable).where(
+                        FileTable.inst_id == str_to_uuid(inst_id),
+                        FileTable.id == str_to_uuid(batch_id),
+                        FileTable.name.in_(target_names),
+                    )
+                )
+                .scalars()
+                .all()
+            )
+            for r in rows:
+                sess.delete(r)
+            db_deleted_rows = len(rows)
+        except Exception as e:
+            raise HTTPException(
+                status_code=500,
+                detail=f"Deleted in storage, but DB file-row cleanup failed: {e}",
+            )
+    try:
+        sess.delete(batch)
+        sess.commit()
+    except Exception as e:
+        sess.rollback()
+        raise HTTPException(
+            status_code=500, detail=f"DB batch delete failed after file cleanup: {e}"
+        )
+    
+    return {
+        "inst_id": inst_id,
+        "batch_id": batch_id,
+        "deleted": gcs_result.get("deleted", []),                 # [{file, path, deleted_at}, ...]
+        "not_found": sorted(not_found_names),
+        "errors": gcs_result.get("errors", []),
+        "db_deleted_rows": db_deleted_rows,
+        "batch_deleted": True,
+    }
 
 @router.get("/{inst_id}/file-id/{file_id}", response_model=DataInfo)
 def read_file_id_info(

From bc016782175e8af8657476dd74d99231328ac10c Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 10:09:35 -0500
Subject: [PATCH 38/46] added delete batch endpoint

---
 src/webapp/databricks.py   | 52 +-------------------------------------
 src/webapp/gcsutil.py      | 39 ++++++++++++++++++++++++++++
 src/webapp/routers/data.py |  4 +--
 3 files changed, 42 insertions(+), 53 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index ba801426..592bc852 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -18,7 +18,6 @@
 from typing import List, Any, Dict, IO, cast, Optional
 from databricks.sdk.errors import DatabricksError
 from fastapi import HTTPException
-from datetime import datetime, timezone
 
 try:
     import tomllib as _toml  # Py 3.11+
@@ -553,53 +552,4 @@ def create_custom_schema_extension(
             existing_extension=extension_schema,  # may be None
         )
 
-        return updated_extension
-
-    def delete_batch_files(
-        self,
-        bucket_name: str,
-        batch_files: list[str],
-    ) -> Any:
-        try:
-            w = WorkspaceClient(
-                host=databricks_vars["DATABRICKS_HOST_URL"],
-                google_service_account=gcs_vars["GCP_SERVICE_ACCOUNT_EMAIL"],
-            )
-            LOGGER.info("Successfully created Databricks WorkspaceClient.")
-        except Exception as e:
-            LOGGER.exception("WorkspaceClient init failed")
-            raise ValueError(f"Workspace client initialization failed: {e}")
-
-        client = storage.Client()
-        bucket = client.bucket(bucket_name)
-        prefix = "validated/"
-
-        now_iso = lambda: datetime.now(timezone.utc).isoformat()
-        deleted: List[Dict[str, str]] = []
-        not_found: List[str] = []
-        errors: List[Dict[str, str]] = []
-
-        for fname in batch_files:
-            if not isinstance(fname, str) or not fname.strip():
-                errors.append({"file": str(fname), "path": f"{prefix}{fname}", "error": "invalid filename"})
-                continue
-
-            blob_path = f"{prefix}{fname}"
-            try:
-                LOGGER.info("Attempting to delete gs://%s/%s", bucket_name, blob_path)
-                # One-liner delete; raises NotFound if missing
-                bucket.delete_blob(blob_path)
-                LOGGER.info("Delete successful: gs://%s/%s", bucket_name, blob_path)
-                deleted.append({"file": fname, "path": blob_path, "deleted_at": now_iso()})
-            except Exception as e:
-                LOGGER.warning("Blob not found: gs://%s/%s", bucket_name, blob_path)
-                not_found.append(fname)
-            except Exception as e:  # network/other unexpected errors
-                LOGGER.exception("Unexpected error deleting gs://%s/%s", bucket_name, blob_path)
-                errors.append({"file": fname, "path": blob_path, "error": str(e)})
-
-        return {
-            "deleted": deleted,
-            "not_found": not_found,
-            "errors": errors,
-        }
\ No newline at end of file
+        return updated_extension
\ No newline at end of file
diff --git a/src/webapp/gcsutil.py b/src/webapp/gcsutil.py
index 91a988db..8398a130 100644
--- a/src/webapp/gcsutil.py
+++ b/src/webapp/gcsutil.py
@@ -10,6 +10,7 @@
 from .validation import validate_file_reader
 from typing import Any, List, Optional, Dict
 import logging
+from datetime import datetime, timezone
 
 # Set the logging
 logging.basicConfig(format="%(asctime)s [%(levelname)s]: %(message)s")
@@ -267,6 +268,44 @@ def delete_file(self, bucket_name: str, file_name: str) -> None:
             raise ValueError(file_name + ": File not found.")
         blob.delete()
 
+    def delete_batch_files(
+        self,
+        bucket_name: str,
+        batch_files: list[str],
+    ) -> Any:
+
+        prefix = "validated/"
+
+        now_iso = lambda: datetime.now(timezone.utc).isoformat()
+        deleted: List[Dict[str, str]] = []
+        not_found: List[str] = []
+        errors: List[Dict[str, str]] = []
+
+        for fname in batch_files:
+            if not isinstance(fname, str) or not fname.strip():
+                errors.append({"file": str(fname), "path": f"{prefix}{fname}", "error": "invalid filename"})
+                continue
+
+            blob_path = f"{prefix}{fname}"
+            try:
+                logger.info("Attempting to delete gs://%s/%s", bucket_name, blob_path)
+                # One-liner delete; raises NotFound if missing
+                self.delete_file(bucket_name=bucket_name, file_name=blob_path)
+                logger.info("Delete successful: gs://%s/%s", bucket_name, blob_path)
+                deleted.append({"file": fname, "path": blob_path, "deleted_at": now_iso()})
+            except Exception as e:
+                logger.warning("Blob not found: gs://%s/%s", bucket_name, blob_path)
+                not_found.append(fname)
+            except Exception as e:  # network/other unexpected errors
+                logger.exception("Unexpected error deleting gs://%s/%s", bucket_name, blob_path)
+                errors.append({"file": fname, "path": blob_path, "error": str(e)})
+
+        return {
+            "deleted": deleted,
+            "not_found": not_found,
+            "errors": errors,
+        }
+    
     def validate_file(
         self,
         bucket_name: str,
diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 6a8be274..a6a8648f 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -689,6 +689,7 @@ def delete_batch(
     batch_id: str,
     current_user: Annotated[BaseUser, Depends(get_current_active_user)],
     sql_session: Annotated[Session, Depends(get_session)],
+    storage_control: Annotated[StorageControl, Depends(StorageControl)],
 ) -> Any:
     has_access_to_inst_or_err(inst_id, current_user)
     model_owner_and_higher_or_err(current_user, "modify batch")
@@ -734,8 +735,7 @@ def delete_batch(
             "message": "No files associated with this batch id.",
         }
 
-    dbc = DatabricksControl()
-    gcs_result = dbc.delete_batch_files(
+    gcs_result = storage_control.delete_batch_files(
         bucket_name= get_external_bucket_name(inst_id),
         batch_files= batch_files
     )

From f7e8b19e2053b25b0941d6969de399c1d7e1fde3 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 10:16:08 -0500
Subject: [PATCH 39/46] fix linting errors

---
 src/webapp/gcsutil.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/src/webapp/gcsutil.py b/src/webapp/gcsutil.py
index 8398a130..5da76304 100644
--- a/src/webapp/gcsutil.py
+++ b/src/webapp/gcsutil.py
@@ -10,7 +10,6 @@
 from .validation import validate_file_reader
 from typing import Any, List, Optional, Dict
 import logging
-from datetime import datetime, timezone
 
 # Set the logging
 logging.basicConfig(format="%(asctime)s [%(levelname)s]: %(message)s")
@@ -276,7 +275,7 @@ def delete_batch_files(
 
         prefix = "validated/"
 
-        now_iso = lambda: datetime.now(timezone.utc).isoformat()
+        now_iso = datetime.datetime.now()
         deleted: List[Dict[str, str]] = []
         not_found: List[str] = []
         errors: List[Dict[str, str]] = []
@@ -293,8 +292,8 @@ def delete_batch_files(
                 self.delete_file(bucket_name=bucket_name, file_name=blob_path)
                 logger.info("Delete successful: gs://%s/%s", bucket_name, blob_path)
                 deleted.append({"file": fname, "path": blob_path, "deleted_at": now_iso()})
-            except Exception as e:
-                logger.warning("Blob not found: gs://%s/%s", bucket_name, blob_path)
+            except ValueError:
+                logger.warning("Blob or bucket not found: gs://%s/%s", bucket_name, blob_path)
                 not_found.append(fname)
             except Exception as e:  # network/other unexpected errors
                 logger.exception("Unexpected error deleting gs://%s/%s", bucket_name, blob_path)

From 1da5dfab04032ba5ee70441e96e7d8e7fcd9e0ae Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 10:17:17 -0500
Subject: [PATCH 40/46] fix linting errors

---
 src/webapp/databricks.py   |  2 +-
 src/webapp/gcsutil.py      | 23 +++++++++++++++++------
 src/webapp/routers/data.py | 34 +++++++++++++++++-----------------
 3 files changed, 35 insertions(+), 24 deletions(-)

diff --git a/src/webapp/databricks.py b/src/webapp/databricks.py
index 592bc852..0f9612ec 100644
--- a/src/webapp/databricks.py
+++ b/src/webapp/databricks.py
@@ -552,4 +552,4 @@ def create_custom_schema_extension(
             existing_extension=extension_schema,  # may be None
         )
 
-        return updated_extension
\ No newline at end of file
+        return updated_extension
diff --git a/src/webapp/gcsutil.py b/src/webapp/gcsutil.py
index 5da76304..d7175fc8 100644
--- a/src/webapp/gcsutil.py
+++ b/src/webapp/gcsutil.py
@@ -272,7 +272,6 @@ def delete_batch_files(
         bucket_name: str,
         batch_files: list[str],
     ) -> Any:
-
         prefix = "validated/"
 
         now_iso = datetime.datetime.now()
@@ -282,7 +281,13 @@ def delete_batch_files(
 
         for fname in batch_files:
             if not isinstance(fname, str) or not fname.strip():
-                errors.append({"file": str(fname), "path": f"{prefix}{fname}", "error": "invalid filename"})
+                errors.append(
+                    {
+                        "file": str(fname),
+                        "path": f"{prefix}{fname}",
+                        "error": "invalid filename",
+                    }
+                )
                 continue
 
             blob_path = f"{prefix}{fname}"
@@ -291,12 +296,18 @@ def delete_batch_files(
                 # One-liner delete; raises NotFound if missing
                 self.delete_file(bucket_name=bucket_name, file_name=blob_path)
                 logger.info("Delete successful: gs://%s/%s", bucket_name, blob_path)
-                deleted.append({"file": fname, "path": blob_path, "deleted_at": now_iso()})
+                deleted.append(
+                    {"file": fname, "path": blob_path, "deleted_at": now_iso()}
+                )
             except ValueError:
-                logger.warning("Blob or bucket not found: gs://%s/%s", bucket_name, blob_path)
+                logger.warning(
+                    "Blob or bucket not found: gs://%s/%s", bucket_name, blob_path
+                )
                 not_found.append(fname)
             except Exception as e:  # network/other unexpected errors
-                logger.exception("Unexpected error deleting gs://%s/%s", bucket_name, blob_path)
+                logger.exception(
+                    "Unexpected error deleting gs://%s/%s", bucket_name, blob_path
+                )
                 errors.append({"file": fname, "path": blob_path, "error": str(e)})
 
         return {
@@ -304,7 +315,7 @@ def delete_batch_files(
             "not_found": not_found,
             "errors": errors,
         }
-    
+
     def validate_file(
         self,
         bucket_name: str,
diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index a6a8648f..e0a8bd48 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -683,6 +683,7 @@ def update_batch(
         "updated_at": query_result[0][0].updated_at,
     }
 
+
 @router.patch("/{inst_id}/delete-batch/{batch_id}", response_model=BatchInfo)
 def delete_batch(
     inst_id: str,
@@ -697,26 +698,25 @@ def delete_batch(
     local_session.set(sql_session)
     sess = local_session.get()
 
-    batch = (
-        sess.execute(
-            select(BatchTable).where(
-                BatchTable.id == str_to_uuid(batch_id),
-                BatchTable.inst_id == str_to_uuid(inst_id),
-            )
+    batch = sess.execute(
+        select(BatchTable).where(
+            BatchTable.id == str_to_uuid(batch_id),
+            BatchTable.inst_id == str_to_uuid(inst_id),
         )
-        .scalar_one_or_none()
-    )
+    ).scalar_one_or_none()
     if batch is None:
-        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Batch not found.")
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail="Batch not found."
+        )
 
     # 2) Gather filenames to delete
     batch_files: list[str] = (
         sess.execute(
             select(FileTable.name).where(
-                    FileTable.id == str_to_uuid(batch_id),
-                    FileTable.inst_id == str_to_uuid(inst_id),
-                )
+                FileTable.id == str_to_uuid(batch_id),
+                FileTable.inst_id == str_to_uuid(inst_id),
             )
+        )
         .scalars()
         .all()
     )
@@ -736,8 +736,7 @@ def delete_batch(
         }
 
     gcs_result = storage_control.delete_batch_files(
-        bucket_name= get_external_bucket_name(inst_id),
-        batch_files= batch_files
+        bucket_name=get_external_bucket_name(inst_id), batch_files=batch_files
     )
 
     if gcs_result.get("errors"):
@@ -745,7 +744,7 @@ def delete_batch(
             status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
             detail=f"Unable to delete files {gcs_result['errors']}.",
         )
-    
+
     # 4) Delete DB rows only for blobs that were actually deleted
     deleted_names = {d["file"] for d in gcs_result.get("deleted", [])}
     not_found_names = set(gcs_result.get("not_found", []))
@@ -781,17 +780,18 @@ def delete_batch(
         raise HTTPException(
             status_code=500, detail=f"DB batch delete failed after file cleanup: {e}"
         )
-    
+
     return {
         "inst_id": inst_id,
         "batch_id": batch_id,
-        "deleted": gcs_result.get("deleted", []),                 # [{file, path, deleted_at}, ...]
+        "deleted": gcs_result.get("deleted", []),  # [{file, path, deleted_at}, ...]
         "not_found": sorted(not_found_names),
         "errors": gcs_result.get("errors", []),
         "db_deleted_rows": db_deleted_rows,
         "batch_deleted": True,
     }
 
+
 @router.get("/{inst_id}/file-id/{file_id}", response_model=DataInfo)
 def read_file_id_info(
     inst_id: str,

From daaa86c8bfe51728961e06289dda1c96340ce0cb Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 10:21:25 -0500
Subject: [PATCH 41/46] fix linting errors

---
 src/webapp/gcsutil.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/webapp/gcsutil.py b/src/webapp/gcsutil.py
index d7175fc8..63cbd567 100644
--- a/src/webapp/gcsutil.py
+++ b/src/webapp/gcsutil.py
@@ -297,7 +297,7 @@ def delete_batch_files(
                 self.delete_file(bucket_name=bucket_name, file_name=blob_path)
                 logger.info("Delete successful: gs://%s/%s", bucket_name, blob_path)
                 deleted.append(
-                    {"file": fname, "path": blob_path, "deleted_at": now_iso()}
+                    {"file": fname, "path": blob_path, "deleted_at": now_iso}
                 )
             except ValueError:
                 logger.warning(

From 85341ec842da3bdee04cd97a3509223149d15c92 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 10:24:19 -0500
Subject: [PATCH 42/46] fix linting errors

---
 src/webapp/gcsutil.py      | 2 +-
 src/webapp/routers/data.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/webapp/gcsutil.py b/src/webapp/gcsutil.py
index 63cbd567..b6046daa 100644
--- a/src/webapp/gcsutil.py
+++ b/src/webapp/gcsutil.py
@@ -297,7 +297,7 @@ def delete_batch_files(
                 self.delete_file(bucket_name=bucket_name, file_name=blob_path)
                 logger.info("Delete successful: gs://%s/%s", bucket_name, blob_path)
                 deleted.append(
-                    {"file": fname, "path": blob_path, "deleted_at": now_iso}
+                    {"file": fname, "path": blob_path, "deleted_at": str(now_iso)}
                 )
             except ValueError:
                 logger.warning(
diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index e0a8bd48..17b10c07 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -710,7 +710,7 @@ def delete_batch(
         )
 
     # 2) Gather filenames to delete
-    batch_files: list[str] = (
+    batch_files: list[str] = list(
         sess.execute(
             select(FileTable.name).where(
                 FileTable.id == str_to_uuid(batch_id),

From 9a32f25dc67533bd384d22e13b7ed77e48ebcde0 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 11:17:35 -0500
Subject: [PATCH 43/46] fix linting errors

---
 src/webapp/routers/data.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 17b10c07..7348c8dd 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -684,7 +684,7 @@ def update_batch(
     }
 
 
-@router.patch("/{inst_id}/delete-batch/{batch_id}", response_model=BatchInfo)
+@router.patch("/{inst_id}/delete-batch/{batch_id}")
 def delete_batch(
     inst_id: str,
     batch_id: str,

From f3bd7faed843b4c58005c25fd9a611a29fa988d4 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 11:52:11 -0500
Subject: [PATCH 44/46] fix linting errors

---
 src/webapp/routers/data.py | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 7348c8dd..3dcc5f58 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -710,10 +710,13 @@ def delete_batch(
         )
 
     # 2) Gather filenames to delete
+
     batch_files: list[str] = list(
         sess.execute(
-            select(FileTable.name).where(
-                FileTable.id == str_to_uuid(batch_id),
+            select(FileTable.name)
+            .join(FileTable.batches)  # many-to-many via association_table
+            .where(
+                BatchTable.id == str_to_uuid(batch_id),
                 FileTable.inst_id == str_to_uuid(inst_id),
             )
         )
@@ -755,9 +758,11 @@ def delete_batch(
         try:
             rows = (
                 sess.execute(
-                    select(FileTable).where(
+                    select(FileTable)
+                    .join(FileTable.batches)
+                    .where(
+                        BatchTable.id == str_to_uuid(batch_id),
                         FileTable.inst_id == str_to_uuid(inst_id),
-                        FileTable.id == str_to_uuid(batch_id),
                         FileTable.name.in_(target_names),
                     )
                 )

From cdb28cf81a6a06c70d04539101ab8d3af7b715c8 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 11:57:46 -0500
Subject: [PATCH 45/46] fix linting errors

---
 src/webapp/routers/data.py | 21 +++++++++++++++++----
 1 file changed, 17 insertions(+), 4 deletions(-)

diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index 3dcc5f58..d3f11c11 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -3,8 +3,8 @@
 import uuid
 from datetime import datetime, date
 from databricks.sdk import WorkspaceClient
-from typing import Annotated, Any, Dict, List, cast, IO
-from pydantic import BaseModel
+from typing import Annotated, Any, Dict, List, cast, IO, Optional
+from pydantic import BaseModel, Field
 from fastapi import APIRouter, Depends, HTTPException, status, Response
 from fastapi.responses import FileResponse
 from sqlalchemy import and_, or_
@@ -99,7 +99,20 @@ class BatchInfo(BaseModel):
     updated_at: datetime | None = None
     # The following is the user who last updated this batch.
     updated_by: str | None = None
-
+class DeletedFile(BaseModel):
+    file: str = Field(..., description="Basename of the deleted file")
+    path: str = Field(..., description="Bucket object path, e.g. 'validated/<name>'")
+    deleted_at: datetime = Field(..., description="UTC timestamp when deletion occurred")
+
+class DeleteBatchResponse(BaseModel):
+    inst_id: str = None
+    batch_id: str = None
+    deleted: List[DeletedFile] = Field(default_factory=list, description="Files deleted in storage")
+    not_found: List[str] = Field(default_factory=list, description="Files not found in storage")
+    errors: List[str] = Field(default_factory=list, description="Errors encountered during delete")
+    db_deleted_rows: int = Field(..., description="Number of FileTable rows deleted")
+    batch_deleted: bool = Field(..., description="Whether the BatchTable row was deleted")
+    message: Optional[str] = Field(None, description="Optional info message")
 
 class DataInfo(BaseModel):
     """The Data object that's returned. Generally maps to a file, but technically maps to a GCS blob."""
@@ -684,7 +697,7 @@ def update_batch(
     }
 
 
-@router.patch("/{inst_id}/delete-batch/{batch_id}")
+@router.patch("/{inst_id}/delete-batch/{batch_id}", response_model=DeleteBatchResponse)
 def delete_batch(
     inst_id: str,
     batch_id: str,

From 123c05b8661161f7dd836541926950eca5cc0634 Mon Sep 17 00:00:00 2001
From: Mesh <meshach.ogunmodede@datakind.org>
Date: Wed, 13 Aug 2025 12:00:35 -0500
Subject: [PATCH 46/46] fix linting errors

---
 src/webapp/routers/data.py | 28 +++++++++++++++++++++-------
 1 file changed, 21 insertions(+), 7 deletions(-)

diff --git a/src/webapp/routers/data.py b/src/webapp/routers/data.py
index d3f11c11..4a435152 100644
--- a/src/webapp/routers/data.py
+++ b/src/webapp/routers/data.py
@@ -99,21 +99,35 @@ class BatchInfo(BaseModel):
     updated_at: datetime | None = None
     # The following is the user who last updated this batch.
     updated_by: str | None = None
+
+
 class DeletedFile(BaseModel):
     file: str = Field(..., description="Basename of the deleted file")
     path: str = Field(..., description="Bucket object path, e.g. 'validated/<name>'")
-    deleted_at: datetime = Field(..., description="UTC timestamp when deletion occurred")
+    deleted_at: datetime = Field(
+        ..., description="UTC timestamp when deletion occurred"
+    )
+
 
 class DeleteBatchResponse(BaseModel):
-    inst_id: str = None
-    batch_id: str = None
-    deleted: List[DeletedFile] = Field(default_factory=list, description="Files deleted in storage")
-    not_found: List[str] = Field(default_factory=list, description="Files not found in storage")
-    errors: List[str] = Field(default_factory=list, description="Errors encountered during delete")
+    inst_id: str
+    batch_id: str
+    deleted: List[DeletedFile] = Field(
+        default_factory=list, description="Files deleted in storage"
+    )
+    not_found: List[str] = Field(
+        default_factory=list, description="Files not found in storage"
+    )
+    errors: List[str] = Field(
+        default_factory=list, description="Errors encountered during delete"
+    )
     db_deleted_rows: int = Field(..., description="Number of FileTable rows deleted")
-    batch_deleted: bool = Field(..., description="Whether the BatchTable row was deleted")
+    batch_deleted: bool = Field(
+        ..., description="Whether the BatchTable row was deleted"
+    )
     message: Optional[str] = Field(None, description="Optional info message")
 
+
 class DataInfo(BaseModel):
     """The Data object that's returned. Generally maps to a file, but technically maps to a GCS blob."""