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Vision ID: Standardize Site Domain and Journal objects with string-only IDs and searchable mapping

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Scott Idem
2026-01-19 15:57:00 -05:00
parent 2dbf47d874
commit 7db937f8af
10 changed files with 272 additions and 305 deletions
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48
app/lib_api_crud_v3.py
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@@ -126,9 +126,10 @@ def sanitize_payload(data: dict, model: Any, ignore_extra: bool = False) -> None
"""
Sanitizes an input payload before database insertion or update.
1. Resolves virtual lookup fields (`*_id_random`) into their integer database IDs.
2. Removes virtual lookup fields (ending in `_id_random`) that are used for API
convenience but do not exist in the database.
1. Resolves ID strings to integers:
- Handles legacy `*_id_random` fields.
- Handles Vision `*_id` fields where the value is a string (e.g., account_id: "random_str").
2. Removes virtual lookup fields (ending in `_id_random`) after resolution.
3. Removes fields explicitly marked for exclusion in the model's
`fields_to_exclude_from_db` ClassVar (e.g., view-only fields).
4. If `ignore_extra` is True, removes all fields NOT present in the model definition.
@@ -140,22 +141,35 @@ def sanitize_payload(data: dict, model: Any, ignore_extra: bool = False) -> None
from app.db_sql import redis_lookup_id_random
# Resolve virtual _id_random fields to integer IDs (e.g., account_id_random -> account_id)
# This must happen BEFORE we delete them.
# Resolve ID strings to integers
for k, v in list(data.items()):
if k.endswith('_id_random') and k != 'id_random' and v:
if not v or not isinstance(v, str):
continue
target_id_field = None
obj_type_lookup = None
# Scenario A: Legacy suffix (e.g., account_id_random: "abc")
if k.endswith('_id_random') and k != 'id_random':
target_id_field = k.replace('_id_random', '_id')
# Only resolve if the integer version is missing or null
if not data.get(target_id_field):
obj_type_lookup = k.replace('_id_random', '')
resolved_id = redis_lookup_id_random(record_id_random=v, table_name=obj_type_lookup)
if resolved_id:
data[target_id_field] = resolved_id
# Filter out virtual _id_random fields (e.g., account_id_random)
keys_to_remove = [k for k in data.keys() if k.endswith('_id_random') and k != 'id_random']
for k in keys_to_remove:
del data[k]
obj_type_lookup = k.replace('_id_random', '')
# Scenario B: Vision naming (e.g., account_id: "abc")
# We only resolve if it's a string of the correct length (random ID format)
elif k.endswith('_id') and 11 <= len(v) <= 22:
target_id_field = k
obj_type_lookup = k.replace('_id', '')
if target_id_field and obj_type_lookup:
# Special table mapping if needed
if obj_type_lookup == 'address_location': obj_type_lookup = 'address'
resolved_id = redis_lookup_id_random(record_id_random=v, table_name=obj_type_lookup)
if resolved_id:
data[target_id_field] = resolved_id
# If we were handling Scenario A, remove the original random key
if k.endswith('_id_random'):
del data[k]
# Filter out model-specific excluded fields (e.g., view-only fields)
if hasattr(model, 'fields_to_exclude_from_db'):