refactor: combine georeferencing and digitizing

Combine georeferencing and digitizing into one Celery group.
This leads to not needing to ma a request UUID to two Celery task/group
ids.

sketch_map_tool/database/client_flask.py

@@ -1,4 +1,3 @@
-import json
 from uuid import UUID
 
 import psycopg2
@@ -34,27 +33,7 @@ def close_connection(e=None):
         db_conn.close()
 
 
-def _insert_id_map(uuid: str, map_: dict):
-    create_query = """
-    CREATE TABLE IF NOT EXISTS uuid_map(
-      uuid uuid PRIMARY KEY,
-      map json NOT NULL
-    )
-    """
-    insert_query = "INSERT INTO uuid_map(uuid, map) VALUES (%s, %s)"
-    db_conn = open_connection()
-    with db_conn.cursor() as curs:
-        curs.execute(create_query)
-        curs.execute(insert_query, [uuid, json.dumps(map_)])
-
-
-def _delete_id_map(uuid: str):
-    query = "DELETE FROM uuid_map WHERE uuid = %s"
-    db_conn = open_connection()
-    with db_conn.cursor() as curs:
-        curs.execute(query, [uuid])
-
-
+# TODO: Legacy support: Delete this function after PR 515 has been deployed for 1 day
 def _select_id_map(uuid) -> dict:
     query = "SELECT map FROM uuid_map WHERE uuid = %s"
     db_conn = open_connection()
@@ -69,6 +48,7 @@ def _select_id_map(uuid) -> dict:
         )
 
 
+# TODO: Legacy support: Delete this function after PR 515 has been deployed for 1 day
 def get_async_result_id(request_uuid: str, request_type: REQUEST_TYPES) -> str:
     """Get the Celery Async Result IDs for a request."""
     map_ = _select_id_map(request_uuid)
@@ -84,11 +64,6 @@ def get_async_result_id(request_uuid: str, request_type: REQUEST_TYPES) -> str:
         ) from error
 
 
-def set_async_result_ids(request_uuid, map_: dict[REQUEST_TYPES, str]):
-    """Set the Celery Result IDs for a request."""
-    _insert_id_map(request_uuid, map_)
-
-
 def insert_files(
     files, consent: bool
 ) -> tuple[list[int], list[str], list[str], list[Bbox], list[Layer]]:
@@ -215,11 +190,3 @@ def select_map_frame(uuid: UUID) -> tuple[bytes, str, str]:
                 ),
                 {"UUID": uuid},
             )
-
-
-def delete_map_frame(uuid: UUID):
-    """Delete map frame of the associated UUID from the database."""
-    query = "DELETE FROM map_frame WHERE uuid = %s"
-    db_conn = open_connection()
-    with db_conn.cursor() as curs:
-        curs.execute(query, [str(uuid)])

sketch_map_tool/helpers.py

@@ -57,16 +57,17 @@ def merge(fcs: list[FeatureCollection]) -> FeatureCollection:
 
 
 def zip_(results: list[tuple[str, str, BytesIO]]) -> BytesIO:
-    """ZIP the results of the Celery group of `georeference_sketch_map` tasks."""
+    """ZIP the raster results of the Celery group of `upload_processing` tasks."""
     buffer = BytesIO()
-    raw = set([r[1].replace("<br />", "\n") for r in results])
-    attributions = BytesIO("\n".join(raw).encode())
+    attributions = []
     with ZipFile(buffer, "a") as zip_file:
-        for file_name, _, file in results:
+        for file_name, attribution, file in results:
             stem = Path(file_name).stem
             name = Path(stem).with_suffix(".geotiff")
             zip_file.writestr(str(name), file.read())
-        zip_file.writestr("attributions.txt", attributions.read())
+            attributions.append(attribution.replace("<br />", "\n"))
+        file = BytesIO("\n".join(set(attributions)).encode())
+        zip_file.writestr("attributions.txt", file.read())
     buffer.seek(0)
     return buffer
 

sketch_map_tool/routes.py

@@ -1,7 +1,7 @@
 import json
 from io import BytesIO
 from pathlib import Path
-from uuid import UUID, uuid4
+from uuid import UUID
 
 import geojson
 from celery import chord, group
@@ -15,6 +15,7 @@
     send_from_directory,
     url_for,
 )
+from psycopg2.errors import UndefinedTable
 from werkzeug import Response
 
 from sketch_map_tool import celery_app, config, definitions, tasks
@@ -28,12 +29,11 @@
     UploadLimitsExceededError,
     UUIDNotFoundError,
 )
-from sketch_map_tool.helpers import extract_errors, merge, to_array, zip_
+from sketch_map_tool.helpers import N_, extract_errors, merge, to_array, zip_
 from sketch_map_tool.models import Bbox, Layer, PaperFormat, Size
 from sketch_map_tool.tasks import (
     cleanup_blobs,
-    digitize_sketches,
-    georeference_sketch_map,
+    upload_processing,
 )
 from sketch_map_tool.validators import (
     validate_type,
@@ -114,9 +114,7 @@ def create_results_post(lang="en") -> Response:
     """Create the sketch map"""
     # Request parameters
     bbox_raw = json.loads(request.form["bbox"])
-    bbox_wgs84_raw = json.loads(request.form["bboxWGS84"])
     bbox = Bbox(*bbox_raw)
-    bbox_wgs84 = Bbox(*bbox_wgs84_raw)
     format_raw = request.form["format"]
     format_: PaperFormat = getattr(definitions, format_raw.upper())
     orientation = request.form["orientation"]
@@ -125,30 +123,33 @@ def create_results_post(lang="en") -> Response:
     scale = float(request.form["scale"])
     layer = Layer(request.form["layer"].replace(":", "-").replace("_", "-").lower())
 
-    # feature flag for enabling aruco markers
+    # Feature flag for enabling aruco markers
     if request.args.get("aruco") is None:
         aruco = False
     else:
         aruco = True
 
-    # Unique id for current request
-    uuid = str(uuid4())
-
     # Tasks
     task_sketch_map = tasks.generate_sketch_map.apply_async(
-        args=(uuid, bbox, format_, orientation, size, scale, layer, aruco)
-    )
-    task_quality_report = tasks.generate_quality_report.apply_async(
-        args=tuple([bbox_wgs84])
+        args=(bbox, format_, orientation, size, scale, layer, aruco)
     )
+    return redirect(url_for("create_results_get", lang=lang, uuid=task_sketch_map.id))
 
-    # Map of request type to multiple Async Result IDs
-    map_ = {
-        "sketch-map": str(task_sketch_map.id),
-        "quality-report": str(task_quality_report.id),
-    }
-    db_client_flask.set_async_result_ids(uuid, map_)
-    return redirect(url_for("create_results_get", lang=lang, uuid=uuid))
+
+def get_async_result_id(uuid: str, type_: REQUEST_TYPES):
+    """Get Celery Async or Group Result UUID for given request UUID.
+
+    Try to get Celery UUID for given request from datastore.
+    If no Celery UUID has been found the request UUID is the same as the Celery UUID.
+
+    This function exists only for legacy support.
+    """
+    # TODO: Legacy support: Delete this function after PR 515 has been deployed
+    # for 1 day
+    try:
+        return db_client_flask.get_async_result_id(uuid, type_)
+    except (UUIDNotFoundError, UndefinedTable):
+        return uuid
 
 
 @app.get("/create/results")
@@ -160,8 +161,8 @@ def create_results_get(lang="en", uuid: str | None = None) -> Response | str:
         return redirect(url_for("create", lang=lang))
     validate_uuid(uuid)
     # Check if celery tasks for UUID exists
-    _ = db_client_flask.get_async_result_id(uuid, "sketch-map")
-    _ = db_client_flask.get_async_result_id(uuid, "quality-report")
+    id_ = get_async_result_id(uuid, "sketch-map")
+    _ = get_async_result(id_, "sketch-map")
     return render_template("create-results.html", lang=lang)
 
 
@@ -205,11 +206,10 @@ def digitize_results_post(lang="en") -> Response:
         bboxes_[uuid] = bbox
         layers_[uuid] = layer
 
-    tasks_vector = []
-    tasks_raster = []
+    tasks = []
     for file_id, file_name, uuid in zip(file_ids, file_names, uuids):
-        tasks_vector.append(
-            digitize_sketches.signature(
+        tasks.append(
+            upload_processing.signature(
                 (
                     file_id,
                     file_name,
@@ -219,40 +219,24 @@ def digitize_results_post(lang="en") -> Response:
                 )
             )
         )
-        tasks_raster.append(
-            georeference_sketch_map.signature(
-                (
-                    file_id,
-                    file_name,
-                    map_frames[uuid],
-                    layers_[uuid],
-                    bboxes_[uuid],
-                )
-            )
-        )
-    async_result_raster = group(tasks_raster).apply_async()
-    c = chord(
-        group(tasks_vector),
+    chord_ = chord(
+        group(tasks),
         cleanup_blobs.signature(
             kwargs={"file_ids": list(set(file_ids))},
             immutable=True,
         ),
     ).apply_async()
-    async_result_vector = c.parent
+    async_group_result = chord_.parent
 
     # group results have to be saved for them to be able to be restored later
-    async_result_raster.save()
-    async_result_vector.save()
-
-    # Unique id for current request
-    uuid = str(uuid4())
-    # Mapping of request id to multiple tasks id's
-    map_ = {
-        "raster-results": str(async_result_raster.id),
-        "vector-results": str(async_result_vector.id),
-    }
-    db_client_flask.set_async_result_ids(uuid, map_)
-    return redirect(url_for("digitize_results_get", lang=lang, uuid=uuid))
+    async_group_result.save()
+    return redirect(
+        url_for(
+            "digitize_results_get",
+            lang=lang,
+            uuid=async_group_result.id,
+        )
+    )
 
 
 @app.get("/digitize/results")
@@ -266,19 +250,32 @@ def digitize_results_get(lang="en", uuid: str | None = None) -> Response | str:
     return render_template("digitize-results.html", lang=lang)
 
 
+def get_async_result(uuid: str, type_: REQUEST_TYPES) -> AsyncResult | GroupResult:
+    """Get Celery `AsyncResult` or restore `GroupResult` for given Celery UUID."""
+    if type_ in ("sketch-map", "quality-report"):
+        async_result = celery_app.AsyncResult(uuid)
+    elif type_ in ("vector-results", "raster-results"):
+        async_result = celery_app.GroupResult.restore(uuid)
+    else:
+        raise TypeError()
+
+    if async_result is None:
+        raise UUIDNotFoundError(
+            N_("There are no tasks for UUID {UUID}"),
+            {"UUID": uuid},
+        )
+    else:
+        return async_result
+
+
 @app.get("/api/status/<uuid>/<type_>")
 @app.get("/<lang>/api/status/<uuid>/<type_>")
 def status(uuid: str, type_: REQUEST_TYPES, lang="en") -> Response:
     validate_uuid(uuid)
     validate_type(type_)
 
-    id_ = db_client_flask.get_async_result_id(uuid, type_)
-
-    # due to legacy support it is not possible to check only `type_`
-    # (in the past every Celery result was of type `AsyncResult`)
-    async_result = celery_app.GroupResult.restore(id_)
-    if async_result is None:
-        async_result = celery_app.AsyncResult(id_)
+    id_ = get_async_result_id(uuid, type_)
+    async_result = get_async_result(id_, type_)
 
     href = ""
     info = ""
@@ -336,18 +333,18 @@ def download(uuid: str, type_: REQUEST_TYPES, lang="en") -> Response:
     validate_uuid(uuid)
     validate_type(type_)
 
-    id_ = db_client_flask.get_async_result_id(uuid, type_)
+    id_ = get_async_result_id(uuid, type_)
+    async_result = get_async_result(id_, type_)
 
-    # due to legacy support it is not possible to check only `type_`
-    # (in the past every Celery result was of type `AsyncResult`)
-    async_result = celery_app.GroupResult.restore(id_)
-    if async_result is None:
-        async_result = celery_app.AsyncResult(id_)
-        if not async_result.ready() or async_result.failed():
+    # Abort if result not ready or failed.
+    # No nice error message here because user should first check /api/status.
+    if isinstance(async_result, GroupResult):
+        if not async_result.ready() or all([r.failed() for r in async_result.results]):
             abort(500)
     else:
-        if not async_result.ready() or all([r.failed() for r in async_result.results]):
+        if not async_result.ready() or async_result.failed():
             abort(500)
+
     match type_:
         case "quality-report":
             mimetype = "application/pdf"
@@ -361,16 +358,19 @@ def download(uuid: str, type_: REQUEST_TYPES, lang="en") -> Response:
             mimetype = "application/zip"
             download_name = type_ + ".zip"
             if isinstance(async_result, GroupResult):
-                file: BytesIO = zip_(async_result.get(propagate=False))
+                results = async_result.get(propagate=False)
+                raster_results = [r[:-1] for r in results]
+                file: BytesIO = zip_(raster_results)
             else:
                 # support legacy results
                 file: BytesIO = async_result.get()
         case "vector-results":
             mimetype = "application/geo+json"
             download_name = type_ + ".geojson"
             if isinstance(async_result, GroupResult):
-                result: list = async_result.get(propagate=False)
-                raw = geojson.dumps(merge(result))
+                results = async_result.get(propagate=False)
+                vector_results = [r[-1] for r in results]
+                raw = geojson.dumps(merge(vector_results))
                 file: BytesIO = BytesIO(raw.encode("utf-8"))
             else:
                 # support legacy results