Cleanup Tier 2.3-2.7: magic strings/values to constants

backend/config.py

@@ -587,7 +587,7 @@ def make_output_path(self):
 
     def _update_output_units(self):
         parameter = self.parameter.lower()
-        if parameter == "ph":
+        if parameter == PH:
             self.analyte_output_units = ""
         elif parameter in [CONDUCTIVITY, SPECIFIC_CONDUCTANCE]:
             self.analyte_output_units = MICROSIEMENS_PER_CENTIMETER

backend/constants.py

@@ -18,6 +18,8 @@
 
 
 WATERLEVELS = "waterlevels"
+# Record-type / parameter-group label for the non-waterlevel parameters.
+ANALYTES = "analytes"
 ARSENIC = "arsenic"
 BICARBONATE = "bicarbonate"
 CALCIUM = "calcium"

backend/record.py

@@ -22,6 +22,7 @@
     CONVERSION_FACTOR,
     SOURCE_DATASTREAM_LINK,
     FEET,
+    WATERLEVELS,
 )
 
 
@@ -64,7 +65,7 @@ def _get_sigfig_formatted_value(self, attr):
 
         # both analyte and water level tables have the same fields, but the
         # rounding should only occur for water level tables
-        if self._payload.get("record_type") == "waterlevels":
+        if self._payload.get("record_type") == WATERLEVELS:
             field_sigfigs.append((PARAMETER_VALUE, 2))
 
         for field, sigfigs in field_sigfigs:

backend/transformer.py

@@ -26,6 +26,8 @@
     DTW,
     EARLIEST,
     LATEST,
+    WATERLEVELS,
+    ANALYTES,
 )
 from backend.geo_utils import datum_transform, ALLOWED_DATUMS
 from backend.logger import make_logger
@@ -209,7 +211,7 @@ def do_transform(
                 return None
             klassed_record = self._apply_elevation_transform(klassed_record)
             klassed_record = self._apply_well_depth_transform(klassed_record)
-        elif klassed_record.record_type in ("analytes", "waterlevels"):
+        elif klassed_record.record_type in (ANALYTES, WATERLEVELS):
             klassed_record = self._apply_unit_conversion(klassed_record)
         return klassed_record
 
@@ -269,7 +271,7 @@ def _apply_well_depth_transform(self, klassed_record):
     def _apply_unit_conversion(self, klassed_record):
         output_units = (
             self.config.analyte_output_units
-            if klassed_record.record_type == "analytes"
+            if klassed_record.record_type == ANALYTES
             else self.config.waterlevel_output_units
         )
         source_result = klassed_record.parameter_value
@@ -538,7 +540,7 @@ def _get_record_klass(self) -> type[ParameterRecord] | type[SummaryRecord]:
         return SummaryRecord if self.config.output_summary else ParameterRecord
 
     def _get_record_type(self) -> str:
-        return "waterlevels"
+        return WATERLEVELS
 
     def _get_parameter_name_and_units(self) -> tuple:
         """
@@ -557,7 +559,7 @@ def _get_record_klass(self) -> type[ParameterRecord] | type[SummaryRecord]:
         return SummaryRecord if self.config.output_summary else ParameterRecord
 
     def _get_record_type(self) -> str:
-        return "analytes"
+        return ANALYTES
 
     def _get_parameter_name_and_units(self) -> tuple:
         """

docs/cleanup-todo.md

@@ -1,7 +1,7 @@
 # DIE Cleanup TODO
 
-> **Status:** Tier 1 (all), plus 2.1 and 2.2, are **DONE** (this PR). Remaining:
-> Tier 2 items 2.3–2.7, all of Tier 3, all of Tier 4.
+> **Status:** Tier 1 (all) and **all of Tier 2 except 2.6** are **DONE**. 2.6 is
+> **deferred** (see note below). Remaining: 2.6, all of Tier 3, all of Tier 4.
 
 Prioritized cleanup backlog from a code-analysis sweep (backend + frontend +
 orchestration). Each item: location, effort (S/M/L), risk, and whether it
@@ -36,11 +36,11 @@ registry). Tiers are ordered by safety — Tier 1 is batchable into one no-risk
 |---|----------|--------|--------|----------|---|
 | **2.1 (requested) ✅** | `backend/config.py:79-97` + reads at `config.py`, `orchestration/assets/products.py:169`, 2 tests | **Flatten `PARAMETER_SOURCE_MAP`**: `param: {"agencies":[...]}` → `param: [...]`. `"agencies"` is the only key ever present; every read is `["agencies"]`. | S | none | ✓ |
 | 2.2 ✅ | `backend/unifier.py` | `type(site_records) == list` → `isinstance(...)` | S | none | ✓ |
-| 2.3 | `backend/config.py` (`parameter == "ph"`) | Use `PH` constant from `constants.py` | S | none | |
-| 2.4 | `backend/transformer.py:272`, `backend/record.py:70` | `record_type == "analytes"/"waterlevels"` string compares → constants | S | none | |
-| 2.5 | `frontend/api/app.py` | Hoist magic strings to constants: bucket `"die_cache"` (×3), queue `"die-queue"`, header casing | S | none | |
-| 2.6 | `frontend/api/app.py` `router_parameters()` | Derive parameter list from `PARAMETER_SOURCE_MAP` instead of hardcoded 2-item list | M | none | |
-| 2.7 | `orchestration/definitions.py:155,204` | Hoist default cron `"0 6 * * *"` + timezone `"America/Denver"` to constants | S | none | |
+| 2.3 ✅ | `backend/config.py` (`parameter == "ph"`) | Use `PH` constant from `constants.py` | S | none | |
+| 2.4 ✅ | `backend/transformer.py`, `backend/record.py` | `record_type == "analytes"/"waterlevels"` → `ANALYTES`/`WATERLEVELS` constants (added `ANALYTES` to `constants.py`) | S | none | |
+| 2.5 ✅ | `frontend/api/app.py` | Bucket `"die_cache"` (×3) + queue `"die-queue"` → `_CACHE_BUCKET` / `_TASK_QUEUE` module constants | S | none | |
+| 2.6 ⏸ DEFERRED | `frontend/api/app.py` `router_parameters()` | Derive parameter list from `PARAMETER_SOURCE_MAP`. **Deferred**: would force the lean API service to import the whole `backend.config` (all connectors + shapely) just for a display list, and changes the endpoint's response shape (`dtw`/`tds` → param keys). Needs a lightweight parameter registry or coordination with the frontend that consumes `/parameters`. | M | yes | |
+| 2.7 ✅ | `orchestration/definitions.py` | Default cron `"0 6 * * *"` + timezone `"America/Denver"` → `_DEFAULT_CRON` / `_SCHEDULE_TIMEZONE` constants | S | none | |
 
 ---
 

frontend/api/app.py

@@ -36,6 +36,11 @@
     allow_headers=["*"],
 )
 
+# GCS bucket holding cached API outputs; Cloud Tasks queue the trigger endpoints
+# enqueue worker jobs onto.
+_CACHE_BUCKET = "die_cache"
+_TASK_QUEUE = "die-queue"
+
 
 class BboxModel(BaseModel):
     minLat: float
@@ -66,10 +71,10 @@ def router_unify_waterlevels(item: ConfigModel):
     if not item.force:
         storage_client = storage.Client()
         if item.output_summary:
-            bucket = storage_client.bucket("die_cache")
+            bucket = storage_client.bucket(_CACHE_BUCKET)
             exists = bucket.blob(f"{itemhash}.csv").exists()
         else:
-            bucket = storage_client.bucket("die_cache")
+            bucket = storage_client.bucket(_CACHE_BUCKET)
             exists = bucket.blob(f"{itemhash}.zip").exists()
 
     response = None
@@ -78,7 +83,7 @@ def router_unify_waterlevels(item: ConfigModel):
         project = os.getenv("PROJECT_ID")
         location = os.getenv("LOCATION")
         url = os.getenv("WORKER_URL")
-        queue = "die-queue"
+        queue = _TASK_QUEUE
 
         cfgobj["output_name"] = itemhash
         task = tasks_v2.Task(
@@ -132,7 +137,7 @@ def router_status(task_id: str):
 def router_download_unified_waterlevels(downloadhash: str, output_summary: bool):
 
     storage_client = storage.Client()
-    bucket = storage_client.bucket("die_cache")
+    bucket = storage_client.bucket(_CACHE_BUCKET)
 
     if output_summary:
         blob = bucket.blob(f"{downloadhash}.csv")

orchestration/definitions.py

@@ -71,6 +71,11 @@ def load_input(self, context: dg.InputContext):
     "ogc_waterlevel_change",
 }
 
+# Cohort scheduling defaults: cron used when a product has no `schedule`, and the
+# timezone all cohort schedules run in.
+_DEFAULT_CRON = "0 6 * * *"
+_SCHEDULE_TIMEZONE = "America/Denver"
+
 
 def _load_products() -> dict:
     return yaml.safe_load(_PRODUCTS_PATH.read_text())
@@ -152,7 +157,7 @@ def _build_cohorts(products_config: dict, specs_by_pid: dict) -> dict:
         name = _cohort_name(_cohort_key(specs))
         cohort = cohorts.setdefault(name, {"members": [], "cron": None})
         cohort["members"].append(pid)
-        cron = product.get("schedule", "0 6 * * *")
+        cron = product.get("schedule", _DEFAULT_CRON)
         if cohort["cron"] is None or _cron_sort_key(cron) < _cron_sort_key(cohort["cron"]):
             cohort["cron"] = cron
     return cohorts
@@ -201,7 +206,7 @@ def _build_schedules(
             name=f"schedule_{name}",
             job=cohort_jobs[name],
             cron_schedule=cohort["cron"],
-            execution_timezone="America/Denver",
+            execution_timezone=_SCHEDULE_TIMEZONE,
         )
         for name, cohort in cohorts.items()
     ]